diff --git "a/log/log-train-2022-09-17-00-39-59-1" "b/log/log-train-2022-09-17-00-39-59-1"
new file mode 100644--- /dev/null
+++ "b/log/log-train-2022-09-17-00-39-59-1"
@@ -0,0 +1,6596 @@
+2022-09-17 00:39:59,267 INFO [train.py:949] (1/2) Training started
+2022-09-17 00:39:59,267 INFO [train.py:959] (1/2) Device: cuda:1
+2022-09-17 00:39:59,270 INFO [train.py:973] (1/2) {'best_train_loss': inf, 'best_valid_loss': inf, 'best_train_epoch': -1, 'best_valid_epoch': -1, 'batch_idx_train': 0, 'log_interval': 50, 'reset_interval': 200, 'valid_interval': 3000, 'feature_dim': 80, 'subsampling_factor': 4, 'model_warm_step': 3000, 'env_info': {'k2-version': '1.19', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': '125d34703f898b5ca54f6f4a925f2bc2d7a5ba98', 'k2-git-date': 'Wed Aug 31 04:50:54 2022', 'lhotse-version': '1.6.0', 'torch-version': '1.12.1+cu113', 'torch-cuda-available': True, 'torch-cuda-version': '11.3', 'python-version': '3.8', 'icefall-git-branch': 'uk', 'icefall-git-sha1': '42c4476-dirty', 'icefall-git-date': 'Thu Sep 15 16:29:29 2022', 'icefall-path': '/home/proger/icefall', 'k2-path': '/home/proger/k2/k2/python/k2/__init__.py', 'lhotse-path': '/home/proger/.local/lib/python3.8/site-packages/lhotse/__init__.py', 'hostname': 'rt', 'IP address': '127.0.1.1'}, 'world_size': 2, 'master_port': 12354, 'tensorboard': True, 'num_epochs': 40, 'start_epoch': 1, 'start_batch': 0, 'exp_dir': PosixPath('pruned_transducer_stateless5/exp-uk-filtered2'), 'bpe_model': 'uk/data/lang_bpe_250/bpe.model', 'initial_lr': 0.003, 'lr_batches': 5000, 'lr_epochs': 6, 'context_size': 2, 'prune_range': 5, 'lm_scale': 0.25, 'am_scale': 0.0, 'simple_loss_scale': 0.5, 'seed': 42, 'print_diagnostics': False, 'save_every_n': 4000, 'keep_last_k': 30, 'average_period': 100, 'use_fp16': True, 'num_encoder_layers': 18, 'dim_feedforward': 1024, 'nhead': 4, 'encoder_dim': 256, 'decoder_dim': 512, 'joiner_dim': 512, 'dynamic_chunk_training': True, 'causal_convolution': True, 'short_chunk_size': 25, 'num_left_chunks': 4, 'full_libri': True, 'manifest_dir': PosixPath('uk/data/fbank'), 'max_duration': 600, 'bucketing_sampler': True, 'num_buckets': 30, 'concatenate_cuts': False, 'duration_factor': 1.0, 'gap': 1.0, 'on_the_fly_feats': False, 'shuffle': True, 'drop_last': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'input_strategy': 'PrecomputedFeatures', 'blank_id': 0, 'vocab_size': 250}
+2022-09-17 00:39:59,270 INFO [train.py:975] (1/2) About to create model
+2022-09-17 00:39:59,382 INFO [train.py:979] (1/2) Number of model parameters: 30053246
+2022-09-17 00:40:00,865 INFO [train.py:994] (1/2) Using DDP
+2022-09-17 00:40:02,902 INFO [asr_datamodule_uk.py:422] (1/2) About to get ('train-other-shuffled-filtered2',) cuts
+2022-09-17 00:40:03,394 INFO [asr_datamodule_uk.py:225] (1/2) Enable MUSAN
+2022-09-17 00:40:03,394 INFO [asr_datamodule_uk.py:226] (1/2) About to get Musan cuts
+2022-09-17 00:40:04,627 INFO [asr_datamodule_uk.py:254] (1/2) Enable SpecAugment
+2022-09-17 00:40:04,627 INFO [asr_datamodule_uk.py:255] (1/2) Time warp factor: 80
+2022-09-17 00:40:04,627 INFO [asr_datamodule_uk.py:267] (1/2) Num frame mask: 10
+2022-09-17 00:40:04,627 INFO [asr_datamodule_uk.py:280] (1/2) About to create train dataset
+2022-09-17 00:40:04,628 INFO [asr_datamodule_uk.py:309] (1/2) Using DynamicBucketingSampler.
+2022-09-17 00:40:06,117 INFO [asr_datamodule_uk.py:324] (1/2) About to create train dataloader
+2022-09-17 00:40:06,118 INFO [asr_datamodule_uk.py:434] (1/2) About to get test-other (for dev) cuts
+2022-09-17 00:40:06,119 INFO [asr_datamodule_uk.py:355] (1/2) About to create dev dataset
+2022-09-17 00:40:06,211 INFO [asr_datamodule_uk.py:374] (1/2) About to create dev dataloader
+2022-09-17 00:40:14,939 INFO [train.py:885] (1/2) Epoch 1, batch 0, loss[loss=3.193, simple_loss=6.387, pruned_loss=6.32, over 14337.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03728, over 210.00 utterances.], tot_loss[loss=3.193, simple_loss=6.387, pruned_loss=6.32, over 14337.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03728, over 210.00 utterances.], batch size: 210, lr: 3.00e-03
+2022-09-17 00:40:14,998 INFO [distributed.py:995] (1/2) Reducer buckets have been rebuilt in this iteration.
+2022-09-17 00:40:43,408 INFO [train.py:885] (1/2) Epoch 1, batch 50, loss[loss=0.523, simple_loss=1.046, pruned_loss=6.584, over 14035.00 frames. utt_duration=712.3 frames, utt_pad_proportion=0.05658, over 79.00 utterances.], tot_loss[loss=1.401, simple_loss=2.802, pruned_loss=6.49, over 627815.44 frames. utt_duration=258.9 frames, utt_pad_proportion=0.06141, over 9755.65 utterances.], batch size: 79, lr: 3.00e-03
+2022-09-17 00:41:12,932 INFO [train.py:885] (1/2) Epoch 1, batch 100, loss[loss=0.3941, simple_loss=0.7882, pruned_loss=6.451, over 13147.00 frames. utt_duration=1595 frames, utt_pad_proportion=0.1042, over 33.00 utterances.], tot_loss[loss=0.9409, simple_loss=1.882, pruned_loss=6.642, over 1106340.85 frames. utt_duration=240.3 frames, utt_pad_proportion=0.06954, over 18528.88 utterances.], batch size: 33, lr: 3.00e-03
+2022-09-17 00:41:42,958 INFO [train.py:885] (1/2) Epoch 1, batch 150, loss[loss=0.387, simple_loss=0.774, pruned_loss=5.944, over 14128.00 frames. utt_duration=636.6 frames, utt_pad_proportion=0.04982, over 89.00 utterances.], tot_loss[loss=0.7606, simple_loss=1.521, pruned_loss=6.553, over 1472358.23 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07409, over 24830.54 utterances.], batch size: 89, lr: 3.00e-03
+2022-09-17 00:42:11,762 INFO [train.py:885] (1/2) Epoch 1, batch 200, loss[loss=0.3668, simple_loss=0.7335, pruned_loss=6.05, over 13739.00 frames. utt_duration=917.3 frames, utt_pad_proportion=0.07715, over 60.00 utterances.], tot_loss[loss=0.6581, simple_loss=1.316, pruned_loss=6.443, over 1763615.42 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07237, over 29046.89 utterances.], batch size: 60, lr: 3.00e-03
+2022-09-17 00:42:41,758 INFO [train.py:885] (1/2) Epoch 1, batch 250, loss[loss=0.5385, simple_loss=1.077, pruned_loss=6.563, over 13769.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07164, over 411.00 utterances.], tot_loss[loss=0.5987, simple_loss=1.197, pruned_loss=6.399, over 1989784.71 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07281, over 33689.06 utterances.], batch size: 411, lr: 3.00e-03
+2022-09-17 00:43:11,090 INFO [train.py:885] (1/2) Epoch 1, batch 300, loss[loss=0.3589, simple_loss=0.7177, pruned_loss=6.099, over 13891.00 frames. utt_duration=927.8 frames, utt_pad_proportion=0.06759, over 60.00 utterances.], tot_loss[loss=0.5489, simple_loss=1.098, pruned_loss=6.356, over 2167843.88 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07068, over 34901.84 utterances.], batch size: 60, lr: 3.00e-03
+2022-09-17 00:43:40,626 INFO [train.py:885] (1/2) Epoch 1, batch 350, loss[loss=0.4993, simple_loss=0.9986, pruned_loss=6.647, over 13786.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07068, over 411.00 utterances.], tot_loss[loss=0.5176, simple_loss=1.035, pruned_loss=6.357, over 2307121.31 frames. utt_duration=247.7 frames, utt_pad_proportion=0.0703, over 37477.49 utterances.], batch size: 411, lr: 3.00e-03
+2022-09-17 00:44:16,415 INFO [train.py:885] (1/2) Epoch 1, batch 400, loss[loss=0.3299, simple_loss=0.6598, pruned_loss=6.09, over 14250.00 frames. utt_duration=641.9 frames, utt_pad_proportion=0.04335, over 89.00 utterances.], tot_loss[loss=0.4876, simple_loss=0.9753, pruned_loss=6.338, over 2418085.87 frames. utt_duration=257 frames, utt_pad_proportion=0.06794, over 37854.78 utterances.], batch size: 89, lr: 3.00e-03
+2022-09-17 00:44:47,052 INFO [train.py:885] (1/2) Epoch 1, batch 450, loss[loss=0.2794, simple_loss=0.5587, pruned_loss=5.886, over 13408.00 frames. utt_duration=1627 frames, utt_pad_proportion=0.09675, over 33.00 utterances.], tot_loss[loss=0.4677, simple_loss=0.9354, pruned_loss=6.337, over 2495825.40 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07082, over 40538.72 utterances.], batch size: 33, lr: 2.99e-03
+2022-09-17 00:45:16,752 INFO [train.py:885] (1/2) Epoch 1, batch 500, loss[loss=0.3217, simple_loss=0.6433, pruned_loss=6.14, over 13998.00 frames. utt_duration=572.8 frames, utt_pad_proportion=0.05947, over 98.00 utterances.], tot_loss[loss=0.4469, simple_loss=0.8939, pruned_loss=6.326, over 2559522.19 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06971, over 41142.87 utterances.], batch size: 98, lr: 2.99e-03
+2022-09-17 00:45:55,384 INFO [train.py:885] (1/2) Epoch 1, batch 550, loss[loss=0.4245, simple_loss=0.849, pruned_loss=6.469, over 13979.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05762, over 365.00 utterances.], tot_loss[loss=0.4302, simple_loss=0.8603, pruned_loss=6.31, over 2605582.54 frames. utt_duration=244.5 frames, utt_pad_proportion=0.0706, over 42883.94 utterances.], batch size: 365, lr: 2.99e-03
+2022-09-17 00:46:24,824 INFO [train.py:885] (1/2) Epoch 1, batch 600, loss[loss=0.2539, simple_loss=0.5077, pruned_loss=5.95, over 13571.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.09201, over 42.00 utterances.], tot_loss[loss=0.4139, simple_loss=0.8277, pruned_loss=6.292, over 2642378.72 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07159, over 43556.10 utterances.], batch size: 42, lr: 2.99e-03
+2022-09-17 00:46:54,630 INFO [train.py:885] (1/2) Epoch 1, batch 650, loss[loss=0.2858, simple_loss=0.5717, pruned_loss=6.103, over 14055.00 frames. utt_duration=575.2 frames, utt_pad_proportion=0.05554, over 98.00 utterances.], tot_loss[loss=0.3975, simple_loss=0.795, pruned_loss=6.277, over 2672903.95 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07053, over 42305.93 utterances.], batch size: 98, lr: 2.99e-03
+2022-09-17 00:47:24,357 INFO [train.py:885] (1/2) Epoch 1, batch 700, loss[loss=0.36, simple_loss=0.7199, pruned_loss=6.244, over 14344.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03674, over 210.00 utterances.], tot_loss[loss=0.3852, simple_loss=0.7704, pruned_loss=6.273, over 2699495.07 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06926, over 42536.07 utterances.], batch size: 210, lr: 2.99e-03
+2022-09-17 00:47:54,273 INFO [train.py:885] (1/2) Epoch 1, batch 750, loss[loss=0.2764, simple_loss=0.5529, pruned_loss=6.098, over 14022.00 frames. utt_duration=711.3 frames, utt_pad_proportion=0.05783, over 79.00 utterances.], tot_loss[loss=0.3733, simple_loss=0.7465, pruned_loss=6.265, over 2715474.40 frames. utt_duration=257.8 frames, utt_pad_proportion=0.07198, over 42375.01 utterances.], batch size: 79, lr: 2.98e-03
+2022-09-17 00:48:23,340 INFO [train.py:885] (1/2) Epoch 1, batch 800, loss[loss=0.376, simple_loss=0.7521, pruned_loss=6.347, over 14315.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03837, over 195.00 utterances.], tot_loss[loss=0.365, simple_loss=0.7301, pruned_loss=6.27, over 2731877.25 frames. utt_duration=253 frames, utt_pad_proportion=0.07168, over 43439.46 utterances.], batch size: 195, lr: 2.98e-03
+2022-09-17 00:48:52,588 INFO [train.py:885] (1/2) Epoch 1, batch 850, loss[loss=0.3586, simple_loss=0.7172, pruned_loss=6.385, over 14304.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03832, over 180.00 utterances.], tot_loss[loss=0.3566, simple_loss=0.7132, pruned_loss=6.267, over 2744207.75 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07039, over 43577.53 utterances.], batch size: 180, lr: 2.98e-03
+2022-09-17 00:49:22,337 INFO [train.py:885] (1/2) Epoch 1, batch 900, loss[loss=0.2571, simple_loss=0.5143, pruned_loss=6.141, over 14094.00 frames. utt_duration=634.9 frames, utt_pad_proportion=0.04959, over 89.00 utterances.], tot_loss[loss=0.3489, simple_loss=0.6978, pruned_loss=6.272, over 2744203.37 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07122, over 44085.72 utterances.], batch size: 89, lr: 2.98e-03
+2022-09-17 00:49:51,826 INFO [train.py:885] (1/2) Epoch 1, batch 950, loss[loss=0.3017, simple_loss=0.6035, pruned_loss=6.33, over 14263.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04232, over 141.00 utterances.], tot_loss[loss=0.3407, simple_loss=0.6814, pruned_loss=6.274, over 2757877.27 frames. utt_duration=258.5 frames, utt_pad_proportion=0.06905, over 42910.95 utterances.], batch size: 141, lr: 2.97e-03
+2022-09-17 00:50:21,889 INFO [train.py:885] (1/2) Epoch 1, batch 1000, loss[loss=0.2912, simple_loss=0.5824, pruned_loss=6.147, over 14255.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04521, over 141.00 utterances.], tot_loss[loss=0.337, simple_loss=0.6739, pruned_loss=6.293, over 2760143.60 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07126, over 44756.42 utterances.], batch size: 141, lr: 2.97e-03
+2022-09-17 00:50:51,332 INFO [train.py:885] (1/2) Epoch 1, batch 1050, loss[loss=0.2658, simple_loss=0.5316, pruned_loss=6.186, over 14056.00 frames. utt_duration=713.1 frames, utt_pad_proportion=0.05678, over 79.00 utterances.], tot_loss[loss=0.3325, simple_loss=0.6651, pruned_loss=6.304, over 2765390.49 frames. utt_duration=244.7 frames, utt_pad_proportion=0.0713, over 45482.73 utterances.], batch size: 79, lr: 2.97e-03
+2022-09-17 00:51:21,105 INFO [train.py:885] (1/2) Epoch 1, batch 1100, loss[loss=0.2656, simple_loss=0.5312, pruned_loss=6.204, over 14088.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05343, over 98.00 utterances.], tot_loss[loss=0.3296, simple_loss=0.6593, pruned_loss=6.316, over 2768031.31 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07289, over 46334.96 utterances.], batch size: 98, lr: 2.96e-03
+2022-09-17 00:51:55,277 INFO [train.py:885] (1/2) Epoch 1, batch 1150, loss[loss=0.2529, simple_loss=0.5057, pruned_loss=6.26, over 14109.00 frames. utt_duration=577.4 frames, utt_pad_proportion=0.05191, over 98.00 utterances.], tot_loss[loss=0.3242, simple_loss=0.6484, pruned_loss=6.322, over 2770993.56 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07225, over 45772.05 utterances.], batch size: 98, lr: 2.96e-03
+2022-09-17 00:52:27,500 INFO [train.py:885] (1/2) Epoch 1, batch 1200, loss[loss=0.2675, simple_loss=0.5349, pruned_loss=6.342, over 14091.00 frames. utt_duration=705.9 frames, utt_pad_proportion=0.05759, over 80.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.6481, pruned_loss=6.348, over 2770969.58 frames. utt_duration=233 frames, utt_pad_proportion=0.07429, over 47866.31 utterances.], batch size: 80, lr: 2.96e-03
+2022-09-17 00:52:57,082 INFO [train.py:885] (1/2) Epoch 1, batch 1250, loss[loss=0.1657, simple_loss=0.3315, pruned_loss=5.904, over 12484.00 frames. utt_duration=2082 frames, utt_pad_proportion=0.1542, over 24.00 utterances.], tot_loss[loss=0.3159, simple_loss=0.6319, pruned_loss=6.337, over 2773141.89 frames. utt_duration=243 frames, utt_pad_proportion=0.07322, over 45927.00 utterances.], batch size: 24, lr: 2.95e-03
+2022-09-17 00:53:27,115 INFO [train.py:885] (1/2) Epoch 1, batch 1300, loss[loss=0.3155, simple_loss=0.631, pruned_loss=6.407, over 14315.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04092, over 167.00 utterances.], tot_loss[loss=0.3135, simple_loss=0.6269, pruned_loss=6.345, over 2770998.25 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07465, over 46550.36 utterances.], batch size: 167, lr: 2.95e-03
+2022-09-17 00:53:56,576 INFO [train.py:885] (1/2) Epoch 1, batch 1350, loss[loss=0.2749, simple_loss=0.5498, pruned_loss=6.393, over 14308.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.04055, over 154.00 utterances.], tot_loss[loss=0.3098, simple_loss=0.6196, pruned_loss=6.352, over 2774869.37 frames. utt_duration=241 frames, utt_pad_proportion=0.07378, over 46347.11 utterances.], batch size: 154, lr: 2.95e-03
+2022-09-17 00:54:26,249 INFO [train.py:885] (1/2) Epoch 1, batch 1400, loss[loss=0.2906, simple_loss=0.5813, pruned_loss=6.334, over 14291.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.0418, over 154.00 utterances.], tot_loss[loss=0.3026, simple_loss=0.6053, pruned_loss=6.34, over 2777159.51 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07191, over 43901.41 utterances.], batch size: 154, lr: 2.94e-03
+2022-09-17 00:54:55,913 INFO [train.py:885] (1/2) Epoch 1, batch 1450, loss[loss=0.3144, simple_loss=0.6288, pruned_loss=6.464, over 14364.00 frames. utt_duration=275 frames, utt_pad_proportion=0.0352, over 210.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.5982, pruned_loss=6.345, over 2780777.71 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07037, over 43931.91 utterances.], batch size: 210, lr: 2.94e-03
+2022-09-17 00:55:25,842 INFO [train.py:885] (1/2) Epoch 1, batch 1500, loss[loss=0.3109, simple_loss=0.6219, pruned_loss=6.513, over 14369.00 frames. utt_duration=275 frames, utt_pad_proportion=0.0351, over 210.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.6034, pruned_loss=6.364, over 2775852.66 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07497, over 46772.39 utterances.], batch size: 210, lr: 2.94e-03
+2022-09-17 00:55:55,951 INFO [train.py:885] (1/2) Epoch 1, batch 1550, loss[loss=0.2771, simple_loss=0.5542, pruned_loss=6.394, over 14320.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03978, over 154.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.5981, pruned_loss=6.369, over 2777175.35 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07495, over 46561.69 utterances.], batch size: 154, lr: 2.93e-03
+2022-09-17 00:56:25,137 INFO [train.py:885] (1/2) Epoch 1, batch 1600, loss[loss=0.2922, simple_loss=0.5844, pruned_loss=6.373, over 14317.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03514, over 195.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.5947, pruned_loss=6.382, over 2778822.41 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07445, over 46833.90 utterances.], batch size: 195, lr: 2.93e-03
+2022-09-17 00:56:55,174 INFO [train.py:885] (1/2) Epoch 1, batch 1650, loss[loss=0.2214, simple_loss=0.4429, pruned_loss=6.369, over 14121.00 frames. utt_duration=577.8 frames, utt_pad_proportion=0.05281, over 98.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.5897, pruned_loss=6.383, over 2779097.56 frames. utt_duration=237.3 frames, utt_pad_proportion=0.0746, over 47133.10 utterances.], batch size: 98, lr: 2.92e-03
+2022-09-17 00:57:24,668 INFO [train.py:885] (1/2) Epoch 1, batch 1700, loss[loss=0.3827, simple_loss=0.7655, pruned_loss=6.567, over 13701.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.0766, over 477.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.5832, pruned_loss=6.386, over 2773964.28 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07536, over 46442.88 utterances.], batch size: 477, lr: 2.92e-03
+2022-09-17 00:57:54,854 INFO [train.py:885] (1/2) Epoch 1, batch 1750, loss[loss=0.1923, simple_loss=0.3845, pruned_loss=6.151, over 13400.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08467, over 41.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.5831, pruned_loss=6.393, over 2771642.45 frames. utt_duration=233 frames, utt_pad_proportion=0.0753, over 47878.60 utterances.], batch size: 41, lr: 2.91e-03
+2022-09-17 00:58:24,899 INFO [train.py:885] (1/2) Epoch 1, batch 1800, loss[loss=0.3014, simple_loss=0.6028, pruned_loss=6.469, over 14346.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03848, over 244.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.5795, pruned_loss=6.397, over 2776048.38 frames. utt_duration=234.8 frames, utt_pad_proportion=0.0728, over 47580.76 utterances.], batch size: 244, lr: 2.91e-03
+2022-09-17 00:58:53,928 INFO [train.py:885] (1/2) Epoch 1, batch 1850, loss[loss=0.3314, simple_loss=0.6629, pruned_loss=6.483, over 14202.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0444, over 306.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.5748, pruned_loss=6.402, over 2778985.73 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07185, over 46662.35 utterances.], batch size: 306, lr: 2.91e-03
+2022-09-17 00:59:23,329 INFO [train.py:885] (1/2) Epoch 1, batch 1900, loss[loss=0.3366, simple_loss=0.6732, pruned_loss=6.429, over 14348.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03669, over 283.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.5697, pruned_loss=6.404, over 2786936.57 frames. utt_duration=244 frames, utt_pad_proportion=0.06796, over 45956.50 utterances.], batch size: 283, lr: 2.90e-03
+2022-09-17 00:59:52,626 INFO [train.py:885] (1/2) Epoch 1, batch 1950, loss[loss=0.2903, simple_loss=0.5806, pruned_loss=6.483, over 14375.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03499, over 210.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.5653, pruned_loss=6.404, over 2787994.01 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06707, over 45091.01 utterances.], batch size: 210, lr: 2.90e-03
+2022-09-17 01:00:22,746 INFO [train.py:885] (1/2) Epoch 1, batch 2000, loss[loss=0.2451, simple_loss=0.4903, pruned_loss=6.461, over 14311.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03747, over 130.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.5636, pruned_loss=6.411, over 2789046.83 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06734, over 45388.48 utterances.], batch size: 130, lr: 2.89e-03
+2022-09-17 01:00:52,047 INFO [train.py:885] (1/2) Epoch 1, batch 2050, loss[loss=0.2238, simple_loss=0.4477, pruned_loss=6.2, over 13649.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.08872, over 42.00 utterances.], tot_loss[loss=0.28, simple_loss=0.5599, pruned_loss=6.41, over 2787360.89 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06768, over 45751.03 utterances.], batch size: 42, lr: 2.89e-03
+2022-09-17 01:01:22,020 INFO [train.py:885] (1/2) Epoch 1, batch 2100, loss[loss=0.2701, simple_loss=0.5403, pruned_loss=6.391, over 14261.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04097, over 225.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.5622, pruned_loss=6.423, over 2789670.70 frames. utt_duration=241.6 frames, utt_pad_proportion=0.06872, over 46480.15 utterances.], batch size: 225, lr: 2.88e-03
+2022-09-17 01:01:52,411 INFO [train.py:885] (1/2) Epoch 1, batch 2150, loss[loss=0.2113, simple_loss=0.4227, pruned_loss=6.213, over 14135.00 frames. utt_duration=636.9 frames, utt_pad_proportion=0.05223, over 89.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.5582, pruned_loss=6.421, over 2784146.81 frames. utt_duration=242.9 frames, utt_pad_proportion=0.0702, over 46129.20 utterances.], batch size: 89, lr: 2.88e-03
+2022-09-17 01:02:21,662 INFO [train.py:885] (1/2) Epoch 1, batch 2200, loss[loss=0.3924, simple_loss=0.7848, pruned_loss=6.77, over 13159.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.5543, pruned_loss=6.418, over 2784169.47 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07079, over 46368.76 utterances.], batch size: 653, lr: 2.87e-03
+2022-09-17 01:02:50,949 INFO [train.py:885] (1/2) Epoch 1, batch 2250, loss[loss=0.2355, simple_loss=0.4711, pruned_loss=6.379, over 14056.00 frames. utt_duration=713.2 frames, utt_pad_proportion=0.05659, over 79.00 utterances.], tot_loss[loss=0.274, simple_loss=0.5479, pruned_loss=6.412, over 2783204.88 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06871, over 45174.17 utterances.], batch size: 79, lr: 2.86e-03
+2022-09-17 01:03:21,354 INFO [train.py:885] (1/2) Epoch 1, batch 2300, loss[loss=0.3148, simple_loss=0.6296, pruned_loss=6.676, over 13669.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07868, over 477.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.5455, pruned_loss=6.42, over 2782019.91 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06941, over 45224.42 utterances.], batch size: 477, lr: 2.86e-03
+2022-09-17 01:03:50,745 INFO [train.py:885] (1/2) Epoch 1, batch 2350, loss[loss=0.3514, simple_loss=0.7027, pruned_loss=6.713, over 13139.00 frames. utt_duration=81.96 frames, utt_pad_proportion=0.1091, over 653.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.5407, pruned_loss=6.415, over 2783849.14 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06953, over 44650.74 utterances.], batch size: 653, lr: 2.85e-03
+2022-09-17 01:04:20,736 INFO [train.py:885] (1/2) Epoch 1, batch 2400, loss[loss=0.2512, simple_loss=0.5025, pruned_loss=6.48, over 14394.00 frames. utt_duration=441 frames, utt_pad_proportion=0.03708, over 131.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.5395, pruned_loss=6.423, over 2784533.27 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06928, over 44028.70 utterances.], batch size: 131, lr: 2.85e-03
+2022-09-17 01:04:50,525 INFO [train.py:885] (1/2) Epoch 1, batch 2450, loss[loss=0.3329, simple_loss=0.6658, pruned_loss=6.665, over 13606.00 frames. utt_duration=98.56 frames, utt_pad_proportion=0.07886, over 560.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.5375, pruned_loss=6.429, over 2782376.54 frames. utt_duration=249.4 frames, utt_pad_proportion=0.0701, over 44889.95 utterances.], batch size: 560, lr: 2.84e-03
+2022-09-17 01:05:19,964 INFO [train.py:885] (1/2) Epoch 1, batch 2500, loss[loss=0.3154, simple_loss=0.6308, pruned_loss=6.668, over 13635.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08116, over 477.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.5445, pruned_loss=6.445, over 2779959.15 frames. utt_duration=239.3 frames, utt_pad_proportion=0.0719, over 46750.67 utterances.], batch size: 477, lr: 2.84e-03
+2022-09-17 01:05:49,995 INFO [train.py:885] (1/2) Epoch 1, batch 2550, loss[loss=0.2515, simple_loss=0.503, pruned_loss=6.525, over 14197.00 frames. utt_duration=522.5 frames, utt_pad_proportion=0.04302, over 109.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.5434, pruned_loss=6.452, over 2783355.25 frames. utt_duration=240.7 frames, utt_pad_proportion=0.06985, over 46533.74 utterances.], batch size: 109, lr: 2.83e-03
+2022-09-17 01:06:19,767 INFO [train.py:885] (1/2) Epoch 1, batch 2600, loss[loss=0.2602, simple_loss=0.5204, pruned_loss=6.468, over 14294.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03897, over 180.00 utterances.], tot_loss[loss=0.272, simple_loss=0.5439, pruned_loss=6.462, over 2781445.69 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07182, over 47223.82 utterances.], batch size: 180, lr: 2.83e-03
+2022-09-17 01:06:49,171 INFO [train.py:885] (1/2) Epoch 1, batch 2650, loss[loss=0.2819, simple_loss=0.5639, pruned_loss=6.608, over 14248.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04567, over 141.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.5362, pruned_loss=6.458, over 2781072.42 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06977, over 45047.97 utterances.], batch size: 141, lr: 2.82e-03
+2022-09-17 01:07:19,437 INFO [train.py:885] (1/2) Epoch 1, batch 2700, loss[loss=0.1919, simple_loss=0.3838, pruned_loss=6.277, over 13788.00 frames. utt_duration=920.8 frames, utt_pad_proportion=0.07459, over 60.00 utterances.], tot_loss[loss=0.269, simple_loss=0.5379, pruned_loss=6.465, over 2778670.67 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07236, over 46842.77 utterances.], batch size: 60, lr: 2.81e-03
+2022-09-17 01:07:48,464 INFO [train.py:885] (1/2) Epoch 1, batch 2750, loss[loss=0.2547, simple_loss=0.5095, pruned_loss=6.476, over 14199.00 frames. utt_duration=522.5 frames, utt_pad_proportion=0.04302, over 109.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.5364, pruned_loss=6.47, over 2776807.62 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07299, over 46507.08 utterances.], batch size: 109, lr: 2.81e-03
+2022-09-17 01:08:18,633 INFO [train.py:885] (1/2) Epoch 1, batch 2800, loss[loss=0.1954, simple_loss=0.3907, pruned_loss=6.406, over 14051.00 frames. utt_duration=713.1 frames, utt_pad_proportion=0.05551, over 79.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.5323, pruned_loss=6.47, over 2777738.94 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07304, over 45595.27 utterances.], batch size: 79, lr: 2.80e-03
+2022-09-17 01:08:48,113 INFO [train.py:885] (1/2) Epoch 1, batch 2850, loss[loss=0.1502, simple_loss=0.3004, pruned_loss=6.085, over 13459.00 frames. utt_duration=1633 frames, utt_pad_proportion=0.09731, over 33.00 utterances.], tot_loss[loss=0.2628, simple_loss=0.5257, pruned_loss=6.468, over 2776422.97 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07235, over 45131.45 utterances.], batch size: 33, lr: 2.80e-03
+2022-09-17 01:09:17,784 INFO [train.py:885] (1/2) Epoch 1, batch 2900, loss[loss=0.1987, simple_loss=0.3975, pruned_loss=6.267, over 13887.00 frames. utt_duration=806.5 frames, utt_pad_proportion=0.06116, over 69.00 utterances.], tot_loss[loss=0.2617, simple_loss=0.5235, pruned_loss=6.465, over 2778001.31 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07066, over 44586.73 utterances.], batch size: 69, lr: 2.79e-03
+2022-09-17 01:09:46,971 INFO [train.py:885] (1/2) Epoch 1, batch 2950, loss[loss=0.2707, simple_loss=0.5413, pruned_loss=6.549, over 14310.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03835, over 226.00 utterances.], tot_loss[loss=0.2625, simple_loss=0.5249, pruned_loss=6.47, over 2774042.82 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07248, over 44950.45 utterances.], batch size: 226, lr: 2.78e-03
+2022-09-17 01:10:16,720 INFO [train.py:885] (1/2) Epoch 1, batch 3000, loss[loss=0.7819, simple_loss=0.3307, pruned_loss=6.165, over 13473.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.08846, over 50.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.5199, pruned_loss=6.473, over 2770024.88 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07573, over 44895.41 utterances.], batch size: 50, lr: 2.78e-03
+2022-09-17 01:10:16,721 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 01:10:21,631 INFO [train.py:914] (1/2) Epoch 1, validation: loss=2.24, simple_loss=0.4092, pruned_loss=2.035, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 01:10:50,548 INFO [train.py:885] (1/2) Epoch 1, batch 3050, loss[loss=0.3839, simple_loss=0.5967, pruned_loss=0.8553, over 14262.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04103, over 180.00 utterances.], tot_loss[loss=0.3144, simple_loss=0.5227, pruned_loss=5.28, over 2775986.22 frames. utt_duration=254.5 frames, utt_pad_proportion=0.0731, over 43881.90 utterances.], batch size: 180, lr: 2.77e-03
+2022-09-17 01:11:20,184 INFO [train.py:885] (1/2) Epoch 1, batch 3100, loss[loss=0.329, simple_loss=0.5516, pruned_loss=0.5316, over 13734.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07393, over 411.00 utterances.], tot_loss[loss=0.317, simple_loss=0.5242, pruned_loss=4.245, over 2776984.93 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07256, over 44128.45 utterances.], batch size: 411, lr: 2.77e-03
+2022-09-17 01:11:49,870 INFO [train.py:885] (1/2) Epoch 1, batch 3150, loss[loss=0.1604, simple_loss=0.2794, pruned_loss=0.2075, over 13797.00 frames. utt_duration=1105 frames, utt_pad_proportion=0.07111, over 50.00 utterances.], tot_loss[loss=0.3125, simple_loss=0.5193, pruned_loss=3.4, over 2781644.48 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06983, over 43348.63 utterances.], batch size: 50, lr: 2.76e-03
+2022-09-17 01:12:19,316 INFO [train.py:885] (1/2) Epoch 1, batch 3200, loss[loss=0.3022, simple_loss=0.5211, pruned_loss=0.416, over 14302.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.04187, over 141.00 utterances.], tot_loss[loss=0.3121, simple_loss=0.5225, pruned_loss=2.74, over 2785444.42 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06746, over 44426.90 utterances.], batch size: 141, lr: 2.75e-03
+2022-09-17 01:12:49,293 INFO [train.py:885] (1/2) Epoch 1, batch 3250, loss[loss=0.1533, simple_loss=0.2712, pruned_loss=0.1774, over 13310.00 frames. utt_duration=1615 frames, utt_pad_proportion=0.1053, over 33.00 utterances.], tot_loss[loss=0.307, simple_loss=0.518, pruned_loss=2.218, over 2783922.23 frames. utt_duration=253 frames, utt_pad_proportion=0.0673, over 44264.67 utterances.], batch size: 33, lr: 2.75e-03
+2022-09-17 01:13:19,226 INFO [train.py:885] (1/2) Epoch 1, batch 3300, loss[loss=0.2977, simple_loss=0.516, pruned_loss=0.3965, over 14332.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03772, over 120.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.5186, pruned_loss=1.814, over 2778805.79 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07106, over 45047.41 utterances.], batch size: 120, lr: 2.74e-03
+2022-09-17 01:13:47,960 INFO [train.py:885] (1/2) Epoch 1, batch 3350, loss[loss=0.3259, simple_loss=0.5749, pruned_loss=0.3846, over 13788.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07016, over 411.00 utterances.], tot_loss[loss=0.3023, simple_loss=0.5169, pruned_loss=1.493, over 2778788.37 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07165, over 45348.17 utterances.], batch size: 411, lr: 2.73e-03
+2022-09-17 01:14:17,499 INFO [train.py:885] (1/2) Epoch 1, batch 3400, loss[loss=0.278, simple_loss=0.4902, pruned_loss=0.3287, over 14295.00 frames. utt_duration=343.8 frames, utt_pad_proportion=0.04225, over 167.00 utterances.], tot_loss[loss=0.302, simple_loss=0.5191, pruned_loss=1.245, over 2780775.34 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07141, over 46379.48 utterances.], batch size: 167, lr: 2.73e-03
+2022-09-17 01:14:46,973 INFO [train.py:885] (1/2) Epoch 1, batch 3450, loss[loss=0.2679, simple_loss=0.4698, pruned_loss=0.3295, over 14343.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03701, over 120.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.5128, pruned_loss=1.043, over 2779728.35 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07034, over 45218.44 utterances.], batch size: 120, lr: 2.72e-03
+2022-09-17 01:15:16,368 INFO [train.py:885] (1/2) Epoch 1, batch 3500, loss[loss=0.2502, simple_loss=0.4418, pruned_loss=0.2934, over 14281.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.0414, over 120.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.5126, pruned_loss=0.89, over 2776717.94 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07243, over 45561.08 utterances.], batch size: 120, lr: 2.72e-03
+2022-09-17 01:15:46,041 INFO [train.py:885] (1/2) Epoch 1, batch 3550, loss[loss=0.5268, simple_loss=0.9092, pruned_loss=0.7222, over 12495.00 frames. utt_duration=63.18 frames, utt_pad_proportion=0.1462, over 811.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.5142, pruned_loss=0.7708, over 2778322.57 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07279, over 46297.24 utterances.], batch size: 811, lr: 2.71e-03
+2022-09-17 01:16:15,612 INFO [train.py:885] (1/2) Epoch 1, batch 3600, loss[loss=0.2143, simple_loss=0.3811, pruned_loss=0.2375, over 13868.00 frames. utt_duration=1322 frames, utt_pad_proportion=0.07017, over 42.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.515, pruned_loss=0.6777, over 2781251.67 frames. utt_duration=241.3 frames, utt_pad_proportion=0.0729, over 46384.15 utterances.], batch size: 42, lr: 2.70e-03
+2022-09-17 01:16:45,034 INFO [train.py:885] (1/2) Epoch 1, batch 3650, loss[loss=0.3259, simple_loss=0.5709, pruned_loss=0.4039, over 14311.00 frames. utt_duration=273.9 frames, utt_pad_proportion=0.03896, over 210.00 utterances.], tot_loss[loss=0.291, simple_loss=0.509, pruned_loss=0.5994, over 2781035.73 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07112, over 44624.22 utterances.], batch size: 210, lr: 2.70e-03
+2022-09-17 01:17:13,503 INFO [train.py:885] (1/2) Epoch 1, batch 3700, loss[loss=0.1875, simple_loss=0.3343, pruned_loss=0.2033, over 13516.00 frames. utt_duration=1289 frames, utt_pad_proportion=0.09433, over 42.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.5063, pruned_loss=0.5387, over 2784682.49 frames. utt_duration=254.2 frames, utt_pad_proportion=0.0684, over 44071.23 utterances.], batch size: 42, lr: 2.69e-03
+2022-09-17 01:17:43,385 INFO [train.py:885] (1/2) Epoch 1, batch 3750, loss[loss=0.3045, simple_loss=0.5377, pruned_loss=0.3558, over 14272.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04029, over 180.00 utterances.], tot_loss[loss=0.286, simple_loss=0.5024, pruned_loss=0.4892, over 2786055.11 frames. utt_duration=257.6 frames, utt_pad_proportion=0.0675, over 43516.27 utterances.], batch size: 180, lr: 2.68e-03
+2022-09-17 01:18:13,035 INFO [train.py:885] (1/2) Epoch 1, batch 3800, loss[loss=0.3299, simple_loss=0.5789, pruned_loss=0.4048, over 14291.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.04047, over 283.00 utterances.], tot_loss[loss=0.288, simple_loss=0.5068, pruned_loss=0.4565, over 2783472.10 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06881, over 45332.90 utterances.], batch size: 283, lr: 2.68e-03
+2022-09-17 01:18:43,368 INFO [train.py:885] (1/2) Epoch 1, batch 3850, loss[loss=0.2692, simple_loss=0.475, pruned_loss=0.3175, over 14288.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.04088, over 120.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.4992, pruned_loss=0.4225, over 2779785.46 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06759, over 43496.78 utterances.], batch size: 120, lr: 2.67e-03
+2022-09-17 01:19:12,640 INFO [train.py:885] (1/2) Epoch 1, batch 3900, loss[loss=0.2642, simple_loss=0.4698, pruned_loss=0.2928, over 14191.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.04968, over 141.00 utterances.], tot_loss[loss=0.283, simple_loss=0.4992, pruned_loss=0.4009, over 2782554.62 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06692, over 43460.16 utterances.], batch size: 141, lr: 2.66e-03
+2022-09-17 01:19:41,960 INFO [train.py:885] (1/2) Epoch 1, batch 3950, loss[loss=0.224, simple_loss=0.4008, pruned_loss=0.2356, over 13939.00 frames. utt_duration=809.6 frames, utt_pad_proportion=0.05748, over 69.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.4984, pruned_loss=0.3823, over 2783038.69 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06793, over 43634.12 utterances.], batch size: 69, lr: 2.66e-03
+2022-09-17 01:20:11,713 INFO [train.py:885] (1/2) Epoch 1, batch 4000, loss[loss=0.3446, simple_loss=0.6034, pruned_loss=0.4289, over 14205.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04504, over 335.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.4959, pruned_loss=0.3666, over 2782711.43 frames. utt_duration=263 frames, utt_pad_proportion=0.06795, over 42561.28 utterances.], batch size: 335, lr: 2.65e-03
+2022-09-17 01:20:40,834 INFO [train.py:885] (1/2) Epoch 1, batch 4050, loss[loss=0.2371, simple_loss=0.4258, pruned_loss=0.2418, over 14069.00 frames. utt_duration=575.7 frames, utt_pad_proportion=0.05616, over 98.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.4948, pruned_loss=0.3548, over 2780925.11 frames. utt_duration=260.9 frames, utt_pad_proportion=0.06784, over 42873.50 utterances.], batch size: 98, lr: 2.64e-03
+2022-09-17 01:21:10,122 INFO [train.py:885] (1/2) Epoch 1, batch 4100, loss[loss=0.3526, simple_loss=0.6178, pruned_loss=0.4369, over 14216.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04461, over 335.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.4942, pruned_loss=0.346, over 2783295.10 frames. utt_duration=261.7 frames, utt_pad_proportion=0.06733, over 42784.31 utterances.], batch size: 335, lr: 2.64e-03
+2022-09-17 01:21:40,408 INFO [train.py:885] (1/2) Epoch 1, batch 4150, loss[loss=0.2944, simple_loss=0.523, pruned_loss=0.3291, over 14341.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03668, over 195.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.5009, pruned_loss=0.344, over 2780203.45 frames. utt_duration=247.2 frames, utt_pad_proportion=0.0735, over 45261.96 utterances.], batch size: 195, lr: 2.63e-03
+2022-09-17 01:22:16,293 INFO [train.py:885] (1/2) Epoch 1, batch 4200, loss[loss=0.4687, simple_loss=0.8241, pruned_loss=0.5662, over 12418.00 frames. utt_duration=62.92 frames, utt_pad_proportion=0.1497, over 810.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.496, pruned_loss=0.3353, over 2779380.93 frames. utt_duration=257.6 frames, utt_pad_proportion=0.07174, over 43406.10 utterances.], batch size: 810, lr: 2.63e-03
+2022-09-17 01:22:46,041 INFO [train.py:885] (1/2) Epoch 1, batch 4250, loss[loss=0.3435, simple_loss=0.6024, pruned_loss=0.4227, over 14347.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03611, over 210.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.4975, pruned_loss=0.3304, over 2780957.09 frames. utt_duration=250 frames, utt_pad_proportion=0.07067, over 44753.26 utterances.], batch size: 210, lr: 2.62e-03
+2022-09-17 01:23:15,395 INFO [train.py:885] (1/2) Epoch 1, batch 4300, loss[loss=0.313, simple_loss=0.5533, pruned_loss=0.3631, over 14348.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03366, over 244.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.5029, pruned_loss=0.3306, over 2779841.35 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07299, over 46664.42 utterances.], batch size: 244, lr: 2.61e-03
+2022-09-17 01:23:45,301 INFO [train.py:885] (1/2) Epoch 1, batch 4350, loss[loss=0.3345, simple_loss=0.5963, pruned_loss=0.3634, over 13671.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07842, over 477.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.5028, pruned_loss=0.3287, over 2779230.47 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07377, over 46080.93 utterances.], batch size: 477, lr: 2.61e-03
+2022-09-17 01:24:14,131 INFO [train.py:885] (1/2) Epoch 1, batch 4400, loss[loss=0.226, simple_loss=0.4036, pruned_loss=0.2418, over 14108.00 frames. utt_duration=577 frames, utt_pad_proportion=0.05251, over 98.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.4974, pruned_loss=0.3212, over 2778552.63 frames. utt_duration=250 frames, utt_pad_proportion=0.07425, over 44726.95 utterances.], batch size: 98, lr: 2.60e-03
+2022-09-17 01:24:44,374 INFO [train.py:885] (1/2) Epoch 1, batch 4450, loss[loss=0.2454, simple_loss=0.4399, pruned_loss=0.2547, over 14330.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.0365, over 130.00 utterances.], tot_loss[loss=0.277, simple_loss=0.4921, pruned_loss=0.3138, over 2778288.54 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07308, over 44051.99 utterances.], batch size: 130, lr: 2.59e-03
+2022-09-17 01:25:15,035 INFO [train.py:885] (1/2) Epoch 1, batch 4500, loss[loss=0.1743, simple_loss=0.3105, pruned_loss=0.1908, over 13133.00 frames. utt_duration=2103 frames, utt_pad_proportion=0.1045, over 25.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.4948, pruned_loss=0.3144, over 2785847.24 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06973, over 44425.64 utterances.], batch size: 25, lr: 2.59e-03
+2022-09-17 01:25:44,744 INFO [train.py:885] (1/2) Epoch 1, batch 4550, loss[loss=0.2214, simple_loss=0.3968, pruned_loss=0.2301, over 14084.00 frames. utt_duration=576.2 frames, utt_pad_proportion=0.0538, over 98.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.4926, pruned_loss=0.3108, over 2781800.33 frames. utt_duration=255.8 frames, utt_pad_proportion=0.07034, over 43743.64 utterances.], batch size: 98, lr: 2.58e-03
+2022-09-17 01:26:14,579 INFO [train.py:885] (1/2) Epoch 1, batch 4600, loss[loss=0.287, simple_loss=0.5065, pruned_loss=0.3376, over 14242.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04624, over 141.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.4993, pruned_loss=0.3146, over 2785243.30 frames. utt_duration=243.8 frames, utt_pad_proportion=0.0707, over 45980.81 utterances.], batch size: 141, lr: 2.57e-03
+2022-09-17 01:26:43,782 INFO [train.py:885] (1/2) Epoch 1, batch 4650, loss[loss=0.3154, simple_loss=0.566, pruned_loss=0.3233, over 13636.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07986, over 477.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.4961, pruned_loss=0.3104, over 2787599.27 frames. utt_duration=246.5 frames, utt_pad_proportion=0.071, over 45498.41 utterances.], batch size: 477, lr: 2.57e-03
+2022-09-17 01:27:13,590 INFO [train.py:885] (1/2) Epoch 1, batch 4700, loss[loss=0.2, simple_loss=0.3597, pruned_loss=0.2016, over 13856.00 frames. utt_duration=925.2 frames, utt_pad_proportion=0.07018, over 60.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.4977, pruned_loss=0.3097, over 2787068.73 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07084, over 46377.09 utterances.], batch size: 60, lr: 2.56e-03
+2022-09-17 01:27:42,781 INFO [train.py:885] (1/2) Epoch 1, batch 4750, loss[loss=0.2075, simple_loss=0.3736, pruned_loss=0.2072, over 14156.00 frames. utt_duration=637.9 frames, utt_pad_proportion=0.04935, over 89.00 utterances.], tot_loss[loss=0.279, simple_loss=0.4966, pruned_loss=0.3075, over 2786620.33 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07078, over 46133.60 utterances.], batch size: 89, lr: 2.55e-03
+2022-09-17 01:28:11,904 INFO [train.py:885] (1/2) Epoch 1, batch 4800, loss[loss=0.215, simple_loss=0.3867, pruned_loss=0.2168, over 13946.00 frames. utt_duration=810.3 frames, utt_pad_proportion=0.05666, over 69.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.5015, pruned_loss=0.3095, over 2786155.03 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07191, over 47642.21 utterances.], batch size: 69, lr: 2.55e-03
+2022-09-17 01:28:42,061 INFO [train.py:885] (1/2) Epoch 1, batch 4850, loss[loss=0.4017, simple_loss=0.7116, pruned_loss=0.4591, over 13117.00 frames. utt_duration=81.95 frames, utt_pad_proportion=0.1092, over 653.00 utterances.], tot_loss[loss=0.281, simple_loss=0.5005, pruned_loss=0.308, over 2779913.60 frames. utt_duration=234 frames, utt_pad_proportion=0.07242, over 47820.08 utterances.], batch size: 653, lr: 2.54e-03
+2022-09-17 01:29:11,279 INFO [train.py:885] (1/2) Epoch 1, batch 4900, loss[loss=0.3266, simple_loss=0.5856, pruned_loss=0.3376, over 13686.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.0775, over 477.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.4983, pruned_loss=0.3059, over 2776065.55 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07362, over 47519.31 utterances.], batch size: 477, lr: 2.54e-03
+2022-09-17 01:29:40,822 INFO [train.py:885] (1/2) Epoch 1, batch 4950, loss[loss=0.2097, simple_loss=0.378, pruned_loss=0.2071, over 14003.00 frames. utt_duration=801.5 frames, utt_pad_proportion=0.06365, over 70.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.4941, pruned_loss=0.3022, over 2779804.30 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07171, over 46381.70 utterances.], batch size: 70, lr: 2.53e-03
+2022-09-17 01:30:10,407 INFO [train.py:885] (1/2) Epoch 1, batch 5000, loss[loss=0.2775, simple_loss=0.4965, pruned_loss=0.2918, over 14305.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03827, over 180.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.4926, pruned_loss=0.3011, over 2776954.66 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07147, over 45352.26 utterances.], batch size: 180, lr: 2.52e-03
+2022-09-17 01:30:40,603 INFO [train.py:885] (1/2) Epoch 1, batch 5050, loss[loss=0.3318, simple_loss=0.5955, pruned_loss=0.3401, over 13627.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.07739, over 560.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.4894, pruned_loss=0.2984, over 2778971.62 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07038, over 44420.04 utterances.], batch size: 560, lr: 2.52e-03
+2022-09-17 01:31:09,884 INFO [train.py:885] (1/2) Epoch 1, batch 5100, loss[loss=0.335, simple_loss=0.5901, pruned_loss=0.3997, over 14315.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03835, over 195.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.4918, pruned_loss=0.2989, over 2780887.30 frames. utt_duration=247 frames, utt_pad_proportion=0.07082, over 45297.33 utterances.], batch size: 195, lr: 2.51e-03
+2022-09-17 01:31:39,481 INFO [train.py:885] (1/2) Epoch 1, batch 5150, loss[loss=0.1912, simple_loss=0.3444, pruned_loss=0.1904, over 13675.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.07864, over 50.00 utterances.], tot_loss[loss=0.277, simple_loss=0.4939, pruned_loss=0.3005, over 2783978.78 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07159, over 45597.00 utterances.], batch size: 50, lr: 2.50e-03
+2022-09-17 01:32:08,678 INFO [train.py:885] (1/2) Epoch 1, batch 5200, loss[loss=0.3088, simple_loss=0.546, pruned_loss=0.3581, over 14269.00 frames. utt_duration=188 frames, utt_pad_proportion=0.04057, over 306.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.4885, pruned_loss=0.2959, over 2783937.58 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07028, over 44394.52 utterances.], batch size: 306, lr: 2.50e-03
+2022-09-17 01:32:38,594 INFO [train.py:885] (1/2) Epoch 1, batch 5250, loss[loss=0.2427, simple_loss=0.4354, pruned_loss=0.2502, over 14296.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04023, over 120.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.4868, pruned_loss=0.2946, over 2782844.08 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07211, over 44516.27 utterances.], batch size: 120, lr: 2.49e-03
+2022-09-17 01:33:08,015 INFO [train.py:885] (1/2) Epoch 1, batch 5300, loss[loss=0.3687, simple_loss=0.6593, pruned_loss=0.39, over 13104.00 frames. utt_duration=81.9 frames, utt_pad_proportion=0.1098, over 653.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.4842, pruned_loss=0.2929, over 2774964.94 frames. utt_duration=251 frames, utt_pad_proportion=0.07501, over 44487.46 utterances.], batch size: 653, lr: 2.49e-03
+2022-09-17 01:33:37,470 INFO [train.py:885] (1/2) Epoch 1, batch 5350, loss[loss=0.2861, simple_loss=0.5129, pruned_loss=0.2964, over 14247.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04165, over 225.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.4869, pruned_loss=0.2942, over 2777103.05 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07495, over 45413.31 utterances.], batch size: 225, lr: 2.48e-03
+2022-09-17 01:34:07,207 INFO [train.py:885] (1/2) Epoch 1, batch 5400, loss[loss=0.3049, simple_loss=0.5406, pruned_loss=0.3462, over 14247.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04187, over 306.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.4884, pruned_loss=0.2934, over 2779385.37 frames. utt_duration=241.3 frames, utt_pad_proportion=0.0735, over 46362.08 utterances.], batch size: 306, lr: 2.47e-03
+2022-09-17 01:34:36,797 INFO [train.py:885] (1/2) Epoch 1, batch 5450, loss[loss=0.2581, simple_loss=0.4605, pruned_loss=0.2782, over 14320.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.0369, over 130.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.49, pruned_loss=0.2944, over 2781425.36 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07456, over 46854.15 utterances.], batch size: 130, lr: 2.47e-03
+2022-09-17 01:35:06,771 INFO [train.py:885] (1/2) Epoch 1, batch 5500, loss[loss=0.3094, simple_loss=0.5485, pruned_loss=0.3516, over 14356.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03742, over 244.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.4911, pruned_loss=0.2953, over 2781910.92 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07429, over 46818.30 utterances.], batch size: 244, lr: 2.46e-03
+2022-09-17 01:35:35,847 INFO [train.py:885] (1/2) Epoch 1, batch 5550, loss[loss=0.3145, simple_loss=0.5626, pruned_loss=0.3322, over 13967.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05824, over 365.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.4919, pruned_loss=0.2953, over 2783966.04 frames. utt_duration=237.6 frames, utt_pad_proportion=0.0734, over 47159.94 utterances.], batch size: 365, lr: 2.45e-03
+2022-09-17 01:36:05,443 INFO [train.py:885] (1/2) Epoch 1, batch 5600, loss[loss=0.4941, simple_loss=0.8683, pruned_loss=0.5993, over 12497.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1447, over 810.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.4957, pruned_loss=0.2974, over 2786185.11 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07341, over 47974.81 utterances.], batch size: 810, lr: 2.45e-03
+2022-09-17 01:36:34,591 INFO [train.py:885] (1/2) Epoch 1, batch 5650, loss[loss=0.4462, simple_loss=0.7927, pruned_loss=0.4986, over 12523.00 frames. utt_duration=63.4 frames, utt_pad_proportion=0.1433, over 810.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.492, pruned_loss=0.2937, over 2784554.01 frames. utt_duration=237.1 frames, utt_pad_proportion=0.0735, over 47272.04 utterances.], batch size: 810, lr: 2.44e-03
+2022-09-17 01:37:04,361 INFO [train.py:885] (1/2) Epoch 1, batch 5700, loss[loss=0.2785, simple_loss=0.4954, pruned_loss=0.3075, over 14318.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03695, over 130.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.4893, pruned_loss=0.2911, over 2786287.37 frames. utt_duration=239.9 frames, utt_pad_proportion=0.0721, over 46743.22 utterances.], batch size: 130, lr: 2.44e-03
+2022-09-17 01:37:34,041 INFO [train.py:885] (1/2) Epoch 1, batch 5750, loss[loss=0.354, simple_loss=0.6306, pruned_loss=0.3872, over 13755.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07251, over 411.00 utterances.], tot_loss[loss=0.276, simple_loss=0.4934, pruned_loss=0.2935, over 2784317.83 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07477, over 48281.57 utterances.], batch size: 411, lr: 2.43e-03
+2022-09-17 01:38:03,036 INFO [train.py:885] (1/2) Epoch 1, batch 5800, loss[loss=0.1218, simple_loss=0.2195, pruned_loss=0.1209, over 12765.00 frames. utt_duration=2129 frames, utt_pad_proportion=0.1295, over 24.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.4916, pruned_loss=0.2913, over 2784086.76 frames. utt_duration=230.8 frames, utt_pad_proportion=0.07474, over 48569.13 utterances.], batch size: 24, lr: 2.42e-03
+2022-09-17 01:38:32,615 INFO [train.py:885] (1/2) Epoch 1, batch 5850, loss[loss=0.3352, simple_loss=0.6011, pruned_loss=0.346, over 13649.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07985, over 477.00 utterances.], tot_loss[loss=0.276, simple_loss=0.4933, pruned_loss=0.2933, over 2784609.75 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07403, over 48339.79 utterances.], batch size: 477, lr: 2.42e-03
+2022-09-17 01:39:01,791 INFO [train.py:885] (1/2) Epoch 1, batch 5900, loss[loss=0.3741, simple_loss=0.6669, pruned_loss=0.4064, over 13131.00 frames. utt_duration=81.96 frames, utt_pad_proportion=0.1091, over 653.00 utterances.], tot_loss[loss=0.274, simple_loss=0.4899, pruned_loss=0.2906, over 2778025.21 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07585, over 47668.70 utterances.], batch size: 653, lr: 2.41e-03
+2022-09-17 01:39:31,270 INFO [train.py:885] (1/2) Epoch 1, batch 5950, loss[loss=0.2683, simple_loss=0.482, pruned_loss=0.2731, over 14296.00 frames. utt_duration=294.6 frames, utt_pad_proportion=0.04027, over 195.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.4862, pruned_loss=0.2873, over 2783126.32 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07177, over 45840.81 utterances.], batch size: 195, lr: 2.41e-03
+2022-09-17 01:40:01,016 INFO [train.py:885] (1/2) Epoch 1, batch 6000, loss[loss=0.328, simple_loss=0.3044, pruned_loss=0.1757, over 13556.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08819, over 50.00 utterances.], tot_loss[loss=0.271, simple_loss=0.4818, pruned_loss=0.2847, over 2782115.62 frames. utt_duration=254.1 frames, utt_pad_proportion=0.07063, over 44049.10 utterances.], batch size: 50, lr: 2.40e-03
+2022-09-17 01:40:01,016 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 01:40:05,159 INFO [train.py:914] (1/2) Epoch 1, validation: loss=0.3558, simple_loss=0.3599, pruned_loss=0.1759, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 01:40:35,218 INFO [train.py:885] (1/2) Epoch 1, batch 6050, loss[loss=0.6015, simple_loss=0.5419, pruned_loss=0.3306, over 14185.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04533, over 306.00 utterances.], tot_loss[loss=0.3343, simple_loss=0.4861, pruned_loss=0.2894, over 2781140.49 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07185, over 45166.99 utterances.], batch size: 306, lr: 2.39e-03
+2022-09-17 01:41:05,125 INFO [train.py:885] (1/2) Epoch 1, batch 6100, loss[loss=0.6945, simple_loss=0.6308, pruned_loss=0.3791, over 13623.00 frames. utt_duration=98.64 frames, utt_pad_proportion=0.07815, over 560.00 utterances.], tot_loss[loss=0.387, simple_loss=0.4942, pruned_loss=0.2942, over 2778223.02 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07494, over 48249.39 utterances.], batch size: 560, lr: 2.39e-03
+2022-09-17 01:41:33,947 INFO [train.py:885] (1/2) Epoch 1, batch 6150, loss[loss=0.5347, simple_loss=0.5189, pruned_loss=0.2752, over 14005.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05531, over 365.00 utterances.], tot_loss[loss=0.4178, simple_loss=0.4929, pruned_loss=0.2914, over 2782014.79 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07422, over 47416.73 utterances.], batch size: 365, lr: 2.38e-03
+2022-09-17 01:42:03,866 INFO [train.py:885] (1/2) Epoch 1, batch 6200, loss[loss=0.6223, simple_loss=0.5604, pruned_loss=0.3421, over 13988.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05615, over 365.00 utterances.], tot_loss[loss=0.4366, simple_loss=0.4884, pruned_loss=0.2859, over 2780009.09 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07202, over 46197.89 utterances.], batch size: 365, lr: 2.38e-03
+2022-09-17 01:42:33,529 INFO [train.py:885] (1/2) Epoch 1, batch 6250, loss[loss=0.5986, simple_loss=0.5443, pruned_loss=0.3265, over 14329.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03759, over 210.00 utterances.], tot_loss[loss=0.4532, simple_loss=0.4859, pruned_loss=0.2832, over 2773482.24 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07234, over 45428.63 utterances.], batch size: 210, lr: 2.37e-03
+2022-09-17 01:43:03,226 INFO [train.py:885] (1/2) Epoch 1, batch 6300, loss[loss=0.5872, simple_loss=0.5385, pruned_loss=0.3179, over 14346.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03768, over 262.00 utterances.], tot_loss[loss=0.4651, simple_loss=0.484, pruned_loss=0.2798, over 2776646.13 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07073, over 44833.96 utterances.], batch size: 262, lr: 2.37e-03
+2022-09-17 01:43:32,563 INFO [train.py:885] (1/2) Epoch 1, batch 6350, loss[loss=0.9961, simple_loss=0.8586, pruned_loss=0.5668, over 12538.00 frames. utt_duration=63.35 frames, utt_pad_proportion=0.1439, over 811.00 utterances.], tot_loss[loss=0.4771, simple_loss=0.4845, pruned_loss=0.279, over 2776508.46 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07182, over 45385.50 utterances.], batch size: 811, lr: 2.36e-03
+2022-09-17 01:44:02,386 INFO [train.py:885] (1/2) Epoch 1, batch 6400, loss[loss=0.5798, simple_loss=0.5222, pruned_loss=0.3187, over 14345.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03637, over 195.00 utterances.], tot_loss[loss=0.4855, simple_loss=0.4833, pruned_loss=0.2782, over 2777376.62 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07312, over 44645.46 utterances.], batch size: 195, lr: 2.35e-03
+2022-09-17 01:44:31,782 INFO [train.py:885] (1/2) Epoch 1, batch 6450, loss[loss=0.6833, simple_loss=0.5971, pruned_loss=0.3847, over 14199.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04467, over 306.00 utterances.], tot_loss[loss=0.493, simple_loss=0.4842, pruned_loss=0.2776, over 2777099.78 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07127, over 44916.51 utterances.], batch size: 306, lr: 2.35e-03
+2022-09-17 01:45:01,100 INFO [train.py:885] (1/2) Epoch 1, batch 6500, loss[loss=0.5723, simple_loss=0.5213, pruned_loss=0.3116, over 14273.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04057, over 225.00 utterances.], tot_loss[loss=0.498, simple_loss=0.4841, pruned_loss=0.2767, over 2776394.45 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07193, over 45147.65 utterances.], batch size: 225, lr: 2.34e-03
+2022-09-17 01:45:30,416 INFO [train.py:885] (1/2) Epoch 1, batch 6550, loss[loss=0.4055, simple_loss=0.4042, pruned_loss=0.2034, over 14161.00 frames. utt_duration=638 frames, utt_pad_proportion=0.04925, over 89.00 utterances.], tot_loss[loss=0.5023, simple_loss=0.4849, pruned_loss=0.276, over 2779322.91 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07172, over 45545.91 utterances.], batch size: 89, lr: 2.34e-03
+2022-09-17 01:46:01,381 INFO [train.py:885] (1/2) Epoch 1, batch 6600, loss[loss=0.635, simple_loss=0.5629, pruned_loss=0.3535, over 14340.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03749, over 283.00 utterances.], tot_loss[loss=0.507, simple_loss=0.4874, pruned_loss=0.2759, over 2777770.86 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07211, over 46498.95 utterances.], batch size: 283, lr: 2.33e-03
+2022-09-17 01:46:31,040 INFO [train.py:885] (1/2) Epoch 1, batch 6650, loss[loss=0.5749, simple_loss=0.5691, pruned_loss=0.2903, over 13628.00 frames. utt_duration=98.73 frames, utt_pad_proportion=0.0773, over 560.00 utterances.], tot_loss[loss=0.5012, simple_loss=0.4822, pruned_loss=0.27, over 2774182.90 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07233, over 46080.37 utterances.], batch size: 560, lr: 2.33e-03
+2022-09-17 01:47:00,614 INFO [train.py:885] (1/2) Epoch 1, batch 6700, loss[loss=0.365, simple_loss=0.3708, pruned_loss=0.1796, over 13293.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.09402, over 41.00 utterances.], tot_loss[loss=0.4981, simple_loss=0.4786, pruned_loss=0.2665, over 2774595.51 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07153, over 45178.54 utterances.], batch size: 41, lr: 2.32e-03
+2022-09-17 01:47:29,824 INFO [train.py:885] (1/2) Epoch 1, batch 6750, loss[loss=0.4975, simple_loss=0.4836, pruned_loss=0.2557, over 14341.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03728, over 195.00 utterances.], tot_loss[loss=0.4979, simple_loss=0.4772, pruned_loss=0.2652, over 2778672.08 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06876, over 43710.25 utterances.], batch size: 195, lr: 2.31e-03
+2022-09-17 01:47:59,550 INFO [train.py:885] (1/2) Epoch 1, batch 6800, loss[loss=0.4828, simple_loss=0.465, pruned_loss=0.2503, over 14323.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.0368, over 154.00 utterances.], tot_loss[loss=0.4944, simple_loss=0.4736, pruned_loss=0.2622, over 2774054.82 frames. utt_duration=263.5 frames, utt_pad_proportion=0.06899, over 42342.86 utterances.], batch size: 154, lr: 2.31e-03
+2022-09-17 01:48:28,785 INFO [train.py:885] (1/2) Epoch 1, batch 6850, loss[loss=0.3594, simple_loss=0.3554, pruned_loss=0.1817, over 13542.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08598, over 50.00 utterances.], tot_loss[loss=0.5021, simple_loss=0.4789, pruned_loss=0.2663, over 2776055.35 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07152, over 44072.47 utterances.], batch size: 50, lr: 2.30e-03
+2022-09-17 01:48:58,542 INFO [train.py:885] (1/2) Epoch 1, batch 6900, loss[loss=0.4892, simple_loss=0.4866, pruned_loss=0.2459, over 14371.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03509, over 210.00 utterances.], tot_loss[loss=0.5037, simple_loss=0.4803, pruned_loss=0.2664, over 2776974.21 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07174, over 45264.16 utterances.], batch size: 210, lr: 2.30e-03
+2022-09-17 01:49:27,723 INFO [train.py:885] (1/2) Epoch 1, batch 6950, loss[loss=0.4586, simple_loss=0.458, pruned_loss=0.2296, over 14311.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04107, over 167.00 utterances.], tot_loss[loss=0.5028, simple_loss=0.4797, pruned_loss=0.2651, over 2784039.17 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06821, over 44559.93 utterances.], batch size: 167, lr: 2.29e-03
+2022-09-17 01:49:57,207 INFO [train.py:885] (1/2) Epoch 1, batch 7000, loss[loss=0.2946, simple_loss=0.3065, pruned_loss=0.1414, over 13202.00 frames. utt_duration=1289 frames, utt_pad_proportion=0.09892, over 41.00 utterances.], tot_loss[loss=0.5019, simple_loss=0.4788, pruned_loss=0.2642, over 2778382.61 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07151, over 44863.82 utterances.], batch size: 41, lr: 2.29e-03
+2022-09-17 01:50:27,466 INFO [train.py:885] (1/2) Epoch 1, batch 7050, loss[loss=0.4195, simple_loss=0.4083, pruned_loss=0.2154, over 13387.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.0869, over 41.00 utterances.], tot_loss[loss=0.496, simple_loss=0.4744, pruned_loss=0.2601, over 2779951.55 frames. utt_duration=255.6 frames, utt_pad_proportion=0.07069, over 43758.38 utterances.], batch size: 41, lr: 2.28e-03
+2022-09-17 01:50:57,124 INFO [train.py:885] (1/2) Epoch 1, batch 7100, loss[loss=0.3032, simple_loss=0.3185, pruned_loss=0.144, over 13648.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.08545, over 42.00 utterances.], tot_loss[loss=0.5035, simple_loss=0.4802, pruned_loss=0.2644, over 2780726.70 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07245, over 45589.25 utterances.], batch size: 42, lr: 2.28e-03
+2022-09-17 01:51:26,726 INFO [train.py:885] (1/2) Epoch 1, batch 7150, loss[loss=0.4297, simple_loss=0.4137, pruned_loss=0.2229, over 14114.00 frames. utt_duration=577.5 frames, utt_pad_proportion=0.05176, over 98.00 utterances.], tot_loss[loss=0.5029, simple_loss=0.4795, pruned_loss=0.2639, over 2781410.72 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07107, over 45120.20 utterances.], batch size: 98, lr: 2.27e-03
+2022-09-17 01:51:56,048 INFO [train.py:885] (1/2) Epoch 1, batch 7200, loss[loss=0.4915, simple_loss=0.4781, pruned_loss=0.2524, over 14356.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03826, over 167.00 utterances.], tot_loss[loss=0.5017, simple_loss=0.4794, pruned_loss=0.2626, over 2778940.72 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07301, over 45868.10 utterances.], batch size: 167, lr: 2.27e-03
+2022-09-17 01:52:25,600 INFO [train.py:885] (1/2) Epoch 1, batch 7250, loss[loss=0.4167, simple_loss=0.4134, pruned_loss=0.21, over 14054.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.05561, over 98.00 utterances.], tot_loss[loss=0.4955, simple_loss=0.4749, pruned_loss=0.2585, over 2778989.07 frames. utt_duration=251.9 frames, utt_pad_proportion=0.0699, over 44392.69 utterances.], batch size: 98, lr: 2.26e-03
+2022-09-17 01:52:55,213 INFO [train.py:885] (1/2) Epoch 1, batch 7300, loss[loss=0.2947, simple_loss=0.3109, pruned_loss=0.1393, over 13335.00 frames. utt_duration=1618 frames, utt_pad_proportion=0.09918, over 33.00 utterances.], tot_loss[loss=0.4893, simple_loss=0.4698, pruned_loss=0.2548, over 2773563.98 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07232, over 43667.15 utterances.], batch size: 33, lr: 2.26e-03
+2022-09-17 01:53:24,280 INFO [train.py:885] (1/2) Epoch 1, batch 7350, loss[loss=0.3461, simple_loss=0.3527, pruned_loss=0.1698, over 12164.00 frames. utt_duration=2029 frames, utt_pad_proportion=0.183, over 24.00 utterances.], tot_loss[loss=0.4847, simple_loss=0.466, pruned_loss=0.252, over 2769064.40 frames. utt_duration=262.9 frames, utt_pad_proportion=0.07361, over 42367.72 utterances.], batch size: 24, lr: 2.25e-03
+2022-09-17 01:53:54,080 INFO [train.py:885] (1/2) Epoch 1, batch 7400, loss[loss=0.4411, simple_loss=0.4411, pruned_loss=0.2205, over 14308.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03947, over 120.00 utterances.], tot_loss[loss=0.4852, simple_loss=0.4667, pruned_loss=0.2521, over 2774905.70 frames. utt_duration=261.5 frames, utt_pad_proportion=0.07146, over 42684.90 utterances.], batch size: 120, lr: 2.24e-03
+2022-09-17 01:54:23,376 INFO [train.py:885] (1/2) Epoch 1, batch 7450, loss[loss=0.5518, simple_loss=0.5092, pruned_loss=0.2972, over 14258.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04487, over 141.00 utterances.], tot_loss[loss=0.4838, simple_loss=0.4656, pruned_loss=0.2512, over 2776280.05 frames. utt_duration=268.5 frames, utt_pad_proportion=0.07104, over 41588.42 utterances.], batch size: 141, lr: 2.24e-03
+2022-09-17 01:54:52,626 INFO [train.py:885] (1/2) Epoch 1, batch 7500, loss[loss=0.5074, simple_loss=0.4951, pruned_loss=0.2599, over 14306.00 frames. utt_duration=236.1 frames, utt_pad_proportion=0.03648, over 244.00 utterances.], tot_loss[loss=0.4875, simple_loss=0.4695, pruned_loss=0.2529, over 2781072.43 frames. utt_duration=262.3 frames, utt_pad_proportion=0.06903, over 42648.07 utterances.], batch size: 244, lr: 2.23e-03
+2022-09-17 01:55:22,173 INFO [train.py:885] (1/2) Epoch 1, batch 7550, loss[loss=0.3608, simple_loss=0.3698, pruned_loss=0.1759, over 13734.00 frames. utt_duration=916.6 frames, utt_pad_proportion=0.07599, over 60.00 utterances.], tot_loss[loss=0.4925, simple_loss=0.4737, pruned_loss=0.2557, over 2783920.41 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06869, over 44212.10 utterances.], batch size: 60, lr: 2.23e-03
+2022-09-17 01:55:52,346 INFO [train.py:885] (1/2) Epoch 1, batch 7600, loss[loss=0.3442, simple_loss=0.3556, pruned_loss=0.1664, over 14032.00 frames. utt_duration=711.9 frames, utt_pad_proportion=0.05835, over 79.00 utterances.], tot_loss[loss=0.4918, simple_loss=0.4742, pruned_loss=0.2548, over 2781839.57 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07071, over 45351.16 utterances.], batch size: 79, lr: 2.22e-03
+2022-09-17 01:56:22,063 INFO [train.py:885] (1/2) Epoch 1, batch 7650, loss[loss=0.5264, simple_loss=0.4981, pruned_loss=0.2774, over 14301.00 frames. utt_duration=294.9 frames, utt_pad_proportion=0.03925, over 195.00 utterances.], tot_loss[loss=0.4952, simple_loss=0.477, pruned_loss=0.2567, over 2783686.52 frames. utt_duration=243.5 frames, utt_pad_proportion=0.06897, over 46004.18 utterances.], batch size: 195, lr: 2.22e-03
+2022-09-17 01:56:51,164 INFO [train.py:885] (1/2) Epoch 1, batch 7700, loss[loss=0.4141, simple_loss=0.4089, pruned_loss=0.2096, over 13497.00 frames. utt_duration=1287 frames, utt_pad_proportion=0.09879, over 42.00 utterances.], tot_loss[loss=0.4966, simple_loss=0.4773, pruned_loss=0.258, over 2780666.92 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07103, over 45589.23 utterances.], batch size: 42, lr: 2.21e-03
+2022-09-17 01:57:21,010 INFO [train.py:885] (1/2) Epoch 1, batch 7750, loss[loss=0.58, simple_loss=0.5742, pruned_loss=0.2929, over 13664.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07818, over 477.00 utterances.], tot_loss[loss=0.4999, simple_loss=0.4813, pruned_loss=0.2592, over 2782775.73 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07145, over 47541.40 utterances.], batch size: 477, lr: 2.21e-03
+2022-09-17 01:57:50,506 INFO [train.py:885] (1/2) Epoch 1, batch 7800, loss[loss=0.3902, simple_loss=0.4106, pruned_loss=0.1849, over 14136.00 frames. utt_duration=578.4 frames, utt_pad_proportion=0.05022, over 98.00 utterances.], tot_loss[loss=0.4993, simple_loss=0.4809, pruned_loss=0.2589, over 2784207.54 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07062, over 47762.97 utterances.], batch size: 98, lr: 2.20e-03
+2022-09-17 01:58:19,090 INFO [train.py:885] (1/2) Epoch 1, batch 7850, loss[loss=0.5493, simple_loss=0.519, pruned_loss=0.2898, over 14351.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03625, over 283.00 utterances.], tot_loss[loss=0.4982, simple_loss=0.48, pruned_loss=0.2582, over 2781875.02 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07235, over 47203.12 utterances.], batch size: 283, lr: 2.20e-03
+2022-09-17 01:58:49,052 INFO [train.py:885] (1/2) Epoch 1, batch 7900, loss[loss=0.815, simple_loss=0.7584, pruned_loss=0.4358, over 12528.00 frames. utt_duration=63.4 frames, utt_pad_proportion=0.1432, over 810.00 utterances.], tot_loss[loss=0.4989, simple_loss=0.4811, pruned_loss=0.2584, over 2776158.25 frames. utt_duration=230.6 frames, utt_pad_proportion=0.07517, over 48471.27 utterances.], batch size: 810, lr: 2.19e-03
+2022-09-17 01:59:19,126 INFO [train.py:885] (1/2) Epoch 1, batch 7950, loss[loss=0.3142, simple_loss=0.3258, pruned_loss=0.1513, over 13748.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.08217, over 42.00 utterances.], tot_loss[loss=0.4929, simple_loss=0.4769, pruned_loss=0.2545, over 2774781.13 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07444, over 47687.45 utterances.], batch size: 42, lr: 2.19e-03
+2022-09-17 01:59:49,033 INFO [train.py:885] (1/2) Epoch 1, batch 8000, loss[loss=0.5434, simple_loss=0.515, pruned_loss=0.2859, over 14350.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03634, over 210.00 utterances.], tot_loss[loss=0.4874, simple_loss=0.4719, pruned_loss=0.2514, over 2773350.15 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07353, over 45482.48 utterances.], batch size: 210, lr: 2.18e-03
+2022-09-17 02:00:18,282 INFO [train.py:885] (1/2) Epoch 1, batch 8050, loss[loss=0.3482, simple_loss=0.3619, pruned_loss=0.1673, over 13863.00 frames. utt_duration=925.6 frames, utt_pad_proportion=0.06697, over 60.00 utterances.], tot_loss[loss=0.4877, simple_loss=0.4726, pruned_loss=0.2514, over 2773535.16 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07512, over 45818.98 utterances.], batch size: 60, lr: 2.18e-03
+2022-09-17 02:00:48,302 INFO [train.py:885] (1/2) Epoch 1, batch 8100, loss[loss=0.4088, simple_loss=0.4271, pruned_loss=0.1953, over 14296.00 frames. utt_duration=407 frames, utt_pad_proportion=0.04237, over 141.00 utterances.], tot_loss[loss=0.4864, simple_loss=0.472, pruned_loss=0.2504, over 2769978.84 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07634, over 46333.03 utterances.], batch size: 141, lr: 2.17e-03
+2022-09-17 02:01:17,460 INFO [train.py:885] (1/2) Epoch 1, batch 8150, loss[loss=0.4419, simple_loss=0.4391, pruned_loss=0.2224, over 14316.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03734, over 130.00 utterances.], tot_loss[loss=0.4879, simple_loss=0.473, pruned_loss=0.2514, over 2776107.41 frames. utt_duration=243.6 frames, utt_pad_proportion=0.073, over 45859.57 utterances.], batch size: 130, lr: 2.17e-03
+2022-09-17 02:01:47,575 INFO [train.py:885] (1/2) Epoch 1, batch 8200, loss[loss=0.5532, simple_loss=0.5285, pruned_loss=0.289, over 14198.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0445, over 306.00 utterances.], tot_loss[loss=0.4853, simple_loss=0.4707, pruned_loss=0.2499, over 2775253.29 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07172, over 45179.14 utterances.], batch size: 306, lr: 2.16e-03
+2022-09-17 02:02:17,340 INFO [train.py:885] (1/2) Epoch 1, batch 8250, loss[loss=0.5048, simple_loss=0.5198, pruned_loss=0.2449, over 13750.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07328, over 411.00 utterances.], tot_loss[loss=0.4859, simple_loss=0.472, pruned_loss=0.2499, over 2774575.31 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07129, over 46164.18 utterances.], batch size: 411, lr: 2.16e-03
+2022-09-17 02:02:46,168 INFO [train.py:885] (1/2) Epoch 1, batch 8300, loss[loss=0.8552, simple_loss=0.7792, pruned_loss=0.4656, over 12556.00 frames. utt_duration=63.56 frames, utt_pad_proportion=0.1411, over 810.00 utterances.], tot_loss[loss=0.4832, simple_loss=0.471, pruned_loss=0.2477, over 2776989.78 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07199, over 46037.77 utterances.], batch size: 810, lr: 2.15e-03
+2022-09-17 02:03:16,218 INFO [train.py:885] (1/2) Epoch 1, batch 8350, loss[loss=0.4184, simple_loss=0.4186, pruned_loss=0.2091, over 14130.00 frames. utt_duration=636.6 frames, utt_pad_proportion=0.04981, over 89.00 utterances.], tot_loss[loss=0.4832, simple_loss=0.4701, pruned_loss=0.2481, over 2774719.26 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07212, over 45222.66 utterances.], batch size: 89, lr: 2.15e-03
+2022-09-17 02:03:45,646 INFO [train.py:885] (1/2) Epoch 1, batch 8400, loss[loss=0.4188, simple_loss=0.4212, pruned_loss=0.2082, over 14132.00 frames. utt_duration=636.8 frames, utt_pad_proportion=0.05096, over 89.00 utterances.], tot_loss[loss=0.4843, simple_loss=0.471, pruned_loss=0.2488, over 2771355.92 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07375, over 45742.20 utterances.], batch size: 89, lr: 2.15e-03
+2022-09-17 02:04:15,771 INFO [train.py:885] (1/2) Epoch 1, batch 8450, loss[loss=0.3229, simple_loss=0.356, pruned_loss=0.1449, over 14019.00 frames. utt_duration=936.1 frames, utt_pad_proportion=0.05633, over 60.00 utterances.], tot_loss[loss=0.4806, simple_loss=0.4674, pruned_loss=0.2469, over 2774260.36 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06978, over 44243.42 utterances.], batch size: 60, lr: 2.14e-03
+2022-09-17 02:04:45,379 INFO [train.py:885] (1/2) Epoch 1, batch 8500, loss[loss=0.3194, simple_loss=0.3225, pruned_loss=0.1581, over 13547.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.09298, over 42.00 utterances.], tot_loss[loss=0.4807, simple_loss=0.4682, pruned_loss=0.2466, over 2780297.28 frames. utt_duration=253 frames, utt_pad_proportion=0.06898, over 44214.54 utterances.], batch size: 42, lr: 2.14e-03
+2022-09-17 02:05:13,851 INFO [train.py:885] (1/2) Epoch 1, batch 8550, loss[loss=0.4577, simple_loss=0.4591, pruned_loss=0.2281, over 14334.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.03878, over 154.00 utterances.], tot_loss[loss=0.4812, simple_loss=0.4688, pruned_loss=0.2468, over 2774134.90 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07217, over 44398.95 utterances.], batch size: 154, lr: 2.13e-03
+2022-09-17 02:05:44,511 INFO [train.py:885] (1/2) Epoch 1, batch 8600, loss[loss=0.2429, simple_loss=0.262, pruned_loss=0.1119, over 13297.00 frames. utt_duration=1613 frames, utt_pad_proportion=0.09317, over 33.00 utterances.], tot_loss[loss=0.4846, simple_loss=0.4723, pruned_loss=0.2485, over 2774216.17 frames. utt_duration=242.9 frames, utt_pad_proportion=0.0736, over 45972.05 utterances.], batch size: 33, lr: 2.13e-03
+2022-09-17 02:06:14,260 INFO [train.py:885] (1/2) Epoch 1, batch 8650, loss[loss=0.3036, simple_loss=0.3169, pruned_loss=0.1451, over 13319.00 frames. utt_duration=2050 frames, utt_pad_proportion=0.09352, over 26.00 utterances.], tot_loss[loss=0.482, simple_loss=0.4711, pruned_loss=0.2464, over 2779924.94 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07128, over 45567.24 utterances.], batch size: 26, lr: 2.12e-03
+2022-09-17 02:06:43,457 INFO [train.py:885] (1/2) Epoch 1, batch 8700, loss[loss=0.5516, simple_loss=0.5249, pruned_loss=0.2891, over 14262.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04129, over 225.00 utterances.], tot_loss[loss=0.4824, simple_loss=0.4713, pruned_loss=0.2468, over 2778820.05 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07086, over 45176.65 utterances.], batch size: 225, lr: 2.12e-03
+2022-09-17 02:07:12,937 INFO [train.py:885] (1/2) Epoch 1, batch 8750, loss[loss=0.2835, simple_loss=0.2707, pruned_loss=0.1482, over 12513.00 frames. utt_duration=2003 frames, utt_pad_proportion=0.1614, over 25.00 utterances.], tot_loss[loss=0.4828, simple_loss=0.4716, pruned_loss=0.2471, over 2781868.58 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07043, over 44930.83 utterances.], batch size: 25, lr: 2.11e-03
+2022-09-17 02:07:42,427 INFO [train.py:885] (1/2) Epoch 1, batch 8800, loss[loss=0.5301, simple_loss=0.501, pruned_loss=0.2796, over 14316.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03816, over 210.00 utterances.], tot_loss[loss=0.4771, simple_loss=0.4675, pruned_loss=0.2434, over 2783782.98 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06945, over 44012.10 utterances.], batch size: 210, lr: 2.11e-03
+2022-09-17 02:08:11,821 INFO [train.py:885] (1/2) Epoch 1, batch 8850, loss[loss=0.451, simple_loss=0.4376, pruned_loss=0.2322, over 14308.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03929, over 120.00 utterances.], tot_loss[loss=0.4739, simple_loss=0.4647, pruned_loss=0.2416, over 2786463.73 frames. utt_duration=262.9 frames, utt_pad_proportion=0.06693, over 42642.27 utterances.], batch size: 120, lr: 2.10e-03
+2022-09-17 02:08:41,546 INFO [train.py:885] (1/2) Epoch 1, batch 8900, loss[loss=0.5133, simple_loss=0.5006, pruned_loss=0.263, over 14361.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03816, over 167.00 utterances.], tot_loss[loss=0.4815, simple_loss=0.4714, pruned_loss=0.2458, over 2781752.75 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06999, over 44611.00 utterances.], batch size: 167, lr: 2.10e-03
+2022-09-17 02:09:11,127 INFO [train.py:885] (1/2) Epoch 1, batch 8950, loss[loss=0.3027, simple_loss=0.3276, pruned_loss=0.1389, over 13854.00 frames. utt_duration=804.5 frames, utt_pad_proportion=0.06349, over 69.00 utterances.], tot_loss[loss=0.4812, simple_loss=0.4713, pruned_loss=0.2456, over 2781883.18 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07126, over 44844.22 utterances.], batch size: 69, lr: 2.10e-03
+2022-09-17 02:09:40,635 INFO [train.py:885] (1/2) Epoch 1, batch 9000, loss[loss=0.4778, simple_loss=0.4788, pruned_loss=0.2384, over 14327.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04003, over 167.00 utterances.], tot_loss[loss=0.4788, simple_loss=0.4696, pruned_loss=0.244, over 2785034.50 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07029, over 44549.02 utterances.], batch size: 167, lr: 2.09e-03
+2022-09-17 02:09:40,636 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 02:09:45,339 INFO [train.py:914] (1/2) Epoch 1, validation: loss=0.3176, simple_loss=0.3557, pruned_loss=0.1398, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 02:10:14,822 INFO [train.py:885] (1/2) Epoch 1, batch 9050, loss[loss=0.5018, simple_loss=0.4899, pruned_loss=0.2569, over 14351.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03336, over 244.00 utterances.], tot_loss[loss=0.4788, simple_loss=0.4691, pruned_loss=0.2442, over 2785661.20 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07056, over 44532.66 utterances.], batch size: 244, lr: 2.09e-03
+2022-09-17 02:10:44,280 INFO [train.py:885] (1/2) Epoch 1, batch 9100, loss[loss=0.5655, simple_loss=0.5639, pruned_loss=0.2836, over 13590.00 frames. utt_duration=98.43 frames, utt_pad_proportion=0.08006, over 560.00 utterances.], tot_loss[loss=0.4772, simple_loss=0.4687, pruned_loss=0.2429, over 2790223.65 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06865, over 44165.17 utterances.], batch size: 560, lr: 2.08e-03
+2022-09-17 02:11:14,130 INFO [train.py:885] (1/2) Epoch 1, batch 9150, loss[loss=0.4903, simple_loss=0.4806, pruned_loss=0.25, over 14321.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.0381, over 195.00 utterances.], tot_loss[loss=0.47, simple_loss=0.4632, pruned_loss=0.2385, over 2788124.24 frames. utt_duration=261.2 frames, utt_pad_proportion=0.06785, over 42932.88 utterances.], batch size: 195, lr: 2.08e-03
+2022-09-17 02:11:43,034 INFO [train.py:885] (1/2) Epoch 1, batch 9200, loss[loss=0.3432, simple_loss=0.3645, pruned_loss=0.1609, over 13959.00 frames. utt_duration=932 frames, utt_pad_proportion=0.06232, over 60.00 utterances.], tot_loss[loss=0.4678, simple_loss=0.4621, pruned_loss=0.2368, over 2782481.69 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06849, over 43323.07 utterances.], batch size: 60, lr: 2.07e-03
+2022-09-17 02:12:12,375 INFO [train.py:885] (1/2) Epoch 1, batch 9250, loss[loss=0.7816, simple_loss=0.6671, pruned_loss=0.4481, over 14237.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04304, over 335.00 utterances.], tot_loss[loss=0.4814, simple_loss=0.4716, pruned_loss=0.2456, over 2781409.91 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06922, over 45390.67 utterances.], batch size: 335, lr: 2.07e-03
+2022-09-17 02:12:41,892 INFO [train.py:885] (1/2) Epoch 1, batch 9300, loss[loss=0.3489, simple_loss=0.3731, pruned_loss=0.1624, over 14150.00 frames. utt_duration=637.2 frames, utt_pad_proportion=0.0489, over 89.00 utterances.], tot_loss[loss=0.4792, simple_loss=0.4704, pruned_loss=0.244, over 2781696.22 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06857, over 45173.14 utterances.], batch size: 89, lr: 2.06e-03
+2022-09-17 02:13:11,460 INFO [train.py:885] (1/2) Epoch 1, batch 9350, loss[loss=0.4216, simple_loss=0.4281, pruned_loss=0.2076, over 14157.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.04555, over 109.00 utterances.], tot_loss[loss=0.4771, simple_loss=0.4686, pruned_loss=0.2428, over 2782861.82 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06872, over 44655.74 utterances.], batch size: 109, lr: 2.06e-03
+2022-09-17 02:13:41,657 INFO [train.py:885] (1/2) Epoch 1, batch 9400, loss[loss=0.5245, simple_loss=0.4987, pruned_loss=0.2751, over 14325.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03961, over 154.00 utterances.], tot_loss[loss=0.4726, simple_loss=0.4646, pruned_loss=0.2403, over 2782574.95 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06858, over 43500.40 utterances.], batch size: 154, lr: 2.06e-03
+2022-09-17 02:14:11,246 INFO [train.py:885] (1/2) Epoch 1, batch 9450, loss[loss=0.5129, simple_loss=0.4945, pruned_loss=0.2656, over 14286.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.04094, over 283.00 utterances.], tot_loss[loss=0.4721, simple_loss=0.4655, pruned_loss=0.2393, over 2781223.76 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06855, over 44416.27 utterances.], batch size: 283, lr: 2.05e-03
+2022-09-17 02:14:40,816 INFO [train.py:885] (1/2) Epoch 1, batch 9500, loss[loss=0.4947, simple_loss=0.4881, pruned_loss=0.2506, over 14200.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04455, over 306.00 utterances.], tot_loss[loss=0.4759, simple_loss=0.4692, pruned_loss=0.2413, over 2778382.98 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07281, over 46547.47 utterances.], batch size: 306, lr: 2.05e-03
+2022-09-17 02:15:10,301 INFO [train.py:885] (1/2) Epoch 1, batch 9550, loss[loss=0.2362, simple_loss=0.2576, pruned_loss=0.1074, over 12196.00 frames. utt_duration=2034 frames, utt_pad_proportion=0.1851, over 24.00 utterances.], tot_loss[loss=0.47, simple_loss=0.4645, pruned_loss=0.2377, over 2778475.63 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07108, over 45290.50 utterances.], batch size: 24, lr: 2.04e-03
+2022-09-17 02:15:39,798 INFO [train.py:885] (1/2) Epoch 1, batch 9600, loss[loss=0.4012, simple_loss=0.4129, pruned_loss=0.1948, over 14342.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.03566, over 130.00 utterances.], tot_loss[loss=0.4623, simple_loss=0.4585, pruned_loss=0.233, over 2782221.53 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06927, over 43282.90 utterances.], batch size: 130, lr: 2.04e-03
+2022-09-17 02:16:08,867 INFO [train.py:885] (1/2) Epoch 1, batch 9650, loss[loss=0.3955, simple_loss=0.405, pruned_loss=0.193, over 14196.00 frames. utt_duration=522.6 frames, utt_pad_proportion=0.0429, over 109.00 utterances.], tot_loss[loss=0.4572, simple_loss=0.454, pruned_loss=0.2302, over 2787265.14 frames. utt_duration=270.7 frames, utt_pad_proportion=0.06617, over 41409.18 utterances.], batch size: 109, lr: 2.03e-03
+2022-09-17 02:16:38,685 INFO [train.py:885] (1/2) Epoch 1, batch 9700, loss[loss=0.4248, simple_loss=0.4375, pruned_loss=0.206, over 14326.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03985, over 167.00 utterances.], tot_loss[loss=0.4647, simple_loss=0.4605, pruned_loss=0.2345, over 2784059.96 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06965, over 43487.89 utterances.], batch size: 167, lr: 2.03e-03
+2022-09-17 02:17:07,829 INFO [train.py:885] (1/2) Epoch 1, batch 9750, loss[loss=0.4865, simple_loss=0.4752, pruned_loss=0.2488, over 14245.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04236, over 225.00 utterances.], tot_loss[loss=0.4679, simple_loss=0.4626, pruned_loss=0.2367, over 2784451.48 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07022, over 44376.13 utterances.], batch size: 225, lr: 2.03e-03
+2022-09-17 02:17:37,456 INFO [train.py:885] (1/2) Epoch 1, batch 9800, loss[loss=0.545, simple_loss=0.5311, pruned_loss=0.2795, over 14038.00 frames. utt_duration=155.4 frames, utt_pad_proportion=0.05271, over 365.00 utterances.], tot_loss[loss=0.4685, simple_loss=0.4631, pruned_loss=0.2369, over 2779230.61 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07174, over 45211.66 utterances.], batch size: 365, lr: 2.02e-03
+2022-09-17 02:18:06,631 INFO [train.py:885] (1/2) Epoch 1, batch 9850, loss[loss=0.5469, simple_loss=0.5567, pruned_loss=0.2685, over 13628.00 frames. utt_duration=98.79 frames, utt_pad_proportion=0.07675, over 560.00 utterances.], tot_loss[loss=0.4651, simple_loss=0.4607, pruned_loss=0.2347, over 2776748.87 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07168, over 44747.63 utterances.], batch size: 560, lr: 2.02e-03
+2022-09-17 02:18:36,567 INFO [train.py:885] (1/2) Epoch 1, batch 9900, loss[loss=0.34, simple_loss=0.3599, pruned_loss=0.1601, over 14087.00 frames. utt_duration=714.7 frames, utt_pad_proportion=0.05458, over 79.00 utterances.], tot_loss[loss=0.4655, simple_loss=0.4616, pruned_loss=0.2347, over 2774563.57 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07293, over 45780.81 utterances.], batch size: 79, lr: 2.01e-03
+2022-09-17 02:19:05,765 INFO [train.py:885] (1/2) Epoch 1, batch 9950, loss[loss=0.5041, simple_loss=0.4973, pruned_loss=0.2554, over 14320.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03857, over 283.00 utterances.], tot_loss[loss=0.4626, simple_loss=0.4596, pruned_loss=0.2328, over 2774816.50 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07198, over 45081.86 utterances.], batch size: 283, lr: 2.01e-03
+2022-09-17 02:19:35,590 INFO [train.py:885] (1/2) Epoch 1, batch 10000, loss[loss=0.5212, simple_loss=0.5341, pruned_loss=0.2542, over 13761.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07198, over 411.00 utterances.], tot_loss[loss=0.466, simple_loss=0.4631, pruned_loss=0.2345, over 2774239.88 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07087, over 46266.53 utterances.], batch size: 411, lr: 2.01e-03
+2022-09-17 02:20:05,244 INFO [train.py:885] (1/2) Epoch 1, batch 10050, loss[loss=0.5783, simple_loss=0.5504, pruned_loss=0.3031, over 14229.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04277, over 335.00 utterances.], tot_loss[loss=0.4698, simple_loss=0.4661, pruned_loss=0.2367, over 2772304.43 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07275, over 46785.52 utterances.], batch size: 335, lr: 2.00e-03
+2022-09-17 02:20:35,249 INFO [train.py:885] (1/2) Epoch 1, batch 10100, loss[loss=0.2662, simple_loss=0.2832, pruned_loss=0.1246, over 13260.00 frames. utt_duration=1609 frames, utt_pad_proportion=0.1086, over 33.00 utterances.], tot_loss[loss=0.47, simple_loss=0.4667, pruned_loss=0.2367, over 2771565.60 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07255, over 46916.92 utterances.], batch size: 33, lr: 2.00e-03
+2022-09-17 02:21:04,895 INFO [train.py:885] (1/2) Epoch 1, batch 10150, loss[loss=0.4779, simple_loss=0.4497, pruned_loss=0.253, over 14163.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.0455, over 109.00 utterances.], tot_loss[loss=0.4682, simple_loss=0.4655, pruned_loss=0.2355, over 2774748.74 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07204, over 46050.47 utterances.], batch size: 109, lr: 1.99e-03
+2022-09-17 02:21:34,586 INFO [train.py:885] (1/2) Epoch 1, batch 10200, loss[loss=0.435, simple_loss=0.4436, pruned_loss=0.2132, over 14208.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04856, over 141.00 utterances.], tot_loss[loss=0.4724, simple_loss=0.4694, pruned_loss=0.2378, over 2772222.46 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07327, over 47252.35 utterances.], batch size: 141, lr: 1.99e-03
+2022-09-17 02:22:03,898 INFO [train.py:885] (1/2) Epoch 1, batch 10250, loss[loss=0.5546, simple_loss=0.5323, pruned_loss=0.2884, over 14330.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03772, over 283.00 utterances.], tot_loss[loss=0.4694, simple_loss=0.4663, pruned_loss=0.2362, over 2773598.30 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07293, over 45997.58 utterances.], batch size: 283, lr: 1.99e-03
+2022-09-17 02:22:32,845 INFO [train.py:885] (1/2) Epoch 1, batch 10300, loss[loss=0.677, simple_loss=0.6031, pruned_loss=0.3755, over 14187.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04512, over 306.00 utterances.], tot_loss[loss=0.4612, simple_loss=0.4595, pruned_loss=0.2315, over 2776127.78 frames. utt_duration=255.6 frames, utt_pad_proportion=0.07024, over 43690.54 utterances.], batch size: 306, lr: 1.98e-03
+2022-09-17 02:23:03,340 INFO [train.py:885] (1/2) Epoch 1, batch 10350, loss[loss=0.4744, simple_loss=0.4669, pruned_loss=0.2409, over 14337.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03669, over 210.00 utterances.], tot_loss[loss=0.4639, simple_loss=0.4617, pruned_loss=0.233, over 2778311.38 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07012, over 44334.82 utterances.], batch size: 210, lr: 1.98e-03
+2022-09-17 02:23:32,426 INFO [train.py:885] (1/2) Epoch 1, batch 10400, loss[loss=0.2765, simple_loss=0.2779, pruned_loss=0.1376, over 12118.00 frames. utt_duration=2021 frames, utt_pad_proportion=0.1617, over 24.00 utterances.], tot_loss[loss=0.4621, simple_loss=0.4592, pruned_loss=0.2325, over 2780817.43 frames. utt_duration=261.7 frames, utt_pad_proportion=0.06823, over 42750.31 utterances.], batch size: 24, lr: 1.97e-03
+2022-09-17 02:24:02,252 INFO [train.py:885] (1/2) Epoch 1, batch 10450, loss[loss=0.4746, simple_loss=0.5079, pruned_loss=0.2206, over 13764.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07229, over 411.00 utterances.], tot_loss[loss=0.4625, simple_loss=0.4602, pruned_loss=0.2324, over 2778541.70 frames. utt_duration=254.5 frames, utt_pad_proportion=0.0691, over 43929.37 utterances.], batch size: 411, lr: 1.97e-03
+2022-09-17 02:24:31,646 INFO [train.py:885] (1/2) Epoch 1, batch 10500, loss[loss=0.5112, simple_loss=0.5015, pruned_loss=0.2605, over 14225.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.04322, over 225.00 utterances.], tot_loss[loss=0.4661, simple_loss=0.4637, pruned_loss=0.2342, over 2775881.36 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06924, over 45419.94 utterances.], batch size: 225, lr: 1.97e-03
+2022-09-17 02:25:01,185 INFO [train.py:885] (1/2) Epoch 1, batch 10550, loss[loss=0.4624, simple_loss=0.4522, pruned_loss=0.2363, over 14182.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04407, over 109.00 utterances.], tot_loss[loss=0.4652, simple_loss=0.4627, pruned_loss=0.2339, over 2780975.20 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06822, over 44816.97 utterances.], batch size: 109, lr: 1.96e-03
+2022-09-17 02:25:31,233 INFO [train.py:885] (1/2) Epoch 1, batch 10600, loss[loss=0.3247, simple_loss=0.3376, pruned_loss=0.156, over 12456.00 frames. utt_duration=1995 frames, utt_pad_proportion=0.1469, over 25.00 utterances.], tot_loss[loss=0.4723, simple_loss=0.4687, pruned_loss=0.2379, over 2776854.15 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07278, over 47137.21 utterances.], batch size: 25, lr: 1.96e-03
+2022-09-17 02:26:00,062 INFO [train.py:885] (1/2) Epoch 1, batch 10650, loss[loss=0.4238, simple_loss=0.4274, pruned_loss=0.2101, over 14361.00 frames. utt_duration=480.1 frames, utt_pad_proportion=0.03589, over 120.00 utterances.], tot_loss[loss=0.4716, simple_loss=0.4682, pruned_loss=0.2375, over 2781587.27 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07132, over 46658.39 utterances.], batch size: 120, lr: 1.96e-03
+2022-09-17 02:26:29,727 INFO [train.py:885] (1/2) Epoch 1, batch 10700, loss[loss=0.61, simple_loss=0.5867, pruned_loss=0.3167, over 13765.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07246, over 411.00 utterances.], tot_loss[loss=0.4749, simple_loss=0.4715, pruned_loss=0.2391, over 2782569.16 frames. utt_duration=234.5 frames, utt_pad_proportion=0.0735, over 47769.79 utterances.], batch size: 411, lr: 1.95e-03
+2022-09-17 02:26:59,390 INFO [train.py:885] (1/2) Epoch 1, batch 10750, loss[loss=0.4202, simple_loss=0.4384, pruned_loss=0.201, over 14371.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03778, over 167.00 utterances.], tot_loss[loss=0.4669, simple_loss=0.4651, pruned_loss=0.2344, over 2780944.97 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07186, over 46509.16 utterances.], batch size: 167, lr: 1.95e-03
+2022-09-17 02:27:29,231 INFO [train.py:885] (1/2) Epoch 1, batch 10800, loss[loss=0.2874, simple_loss=0.3193, pruned_loss=0.1278, over 13462.00 frames. utt_duration=1315 frames, utt_pad_proportion=0.08255, over 41.00 utterances.], tot_loss[loss=0.4636, simple_loss=0.4631, pruned_loss=0.232, over 2777000.35 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07321, over 46853.70 utterances.], batch size: 41, lr: 1.94e-03
+2022-09-17 02:27:58,816 INFO [train.py:885] (1/2) Epoch 1, batch 10850, loss[loss=0.5377, simple_loss=0.5172, pruned_loss=0.2791, over 14348.00 frames. utt_duration=204 frames, utt_pad_proportion=0.0375, over 283.00 utterances.], tot_loss[loss=0.4625, simple_loss=0.4621, pruned_loss=0.2314, over 2772745.20 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07408, over 45941.05 utterances.], batch size: 283, lr: 1.94e-03
+2022-09-17 02:28:28,625 INFO [train.py:885] (1/2) Epoch 1, batch 10900, loss[loss=0.3141, simple_loss=0.3444, pruned_loss=0.1419, over 13831.00 frames. utt_duration=923.5 frames, utt_pad_proportion=0.07277, over 60.00 utterances.], tot_loss[loss=0.4663, simple_loss=0.4646, pruned_loss=0.234, over 2778346.15 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07109, over 45684.84 utterances.], batch size: 60, lr: 1.94e-03
+2022-09-17 02:28:58,646 INFO [train.py:885] (1/2) Epoch 1, batch 10950, loss[loss=0.4682, simple_loss=0.4657, pruned_loss=0.2353, over 14271.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04019, over 180.00 utterances.], tot_loss[loss=0.4605, simple_loss=0.4595, pruned_loss=0.2308, over 2780525.07 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06794, over 44057.99 utterances.], batch size: 180, lr: 1.93e-03
+2022-09-17 02:29:27,608 INFO [train.py:885] (1/2) Epoch 1, batch 11000, loss[loss=0.5343, simple_loss=0.5342, pruned_loss=0.2672, over 13987.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05626, over 365.00 utterances.], tot_loss[loss=0.4608, simple_loss=0.4598, pruned_loss=0.2309, over 2783420.81 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06875, over 44060.22 utterances.], batch size: 365, lr: 1.93e-03
+2022-09-17 02:29:56,456 INFO [train.py:885] (1/2) Epoch 1, batch 11050, loss[loss=0.5013, simple_loss=0.5393, pruned_loss=0.2317, over 13621.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08211, over 477.00 utterances.], tot_loss[loss=0.4563, simple_loss=0.4557, pruned_loss=0.2284, over 2783240.21 frames. utt_duration=265 frames, utt_pad_proportion=0.06642, over 42250.98 utterances.], batch size: 477, lr: 1.93e-03
+2022-09-17 02:30:26,405 INFO [train.py:885] (1/2) Epoch 1, batch 11100, loss[loss=0.3109, simple_loss=0.331, pruned_loss=0.1454, over 13827.00 frames. utt_duration=923.1 frames, utt_pad_proportion=0.07228, over 60.00 utterances.], tot_loss[loss=0.4572, simple_loss=0.4569, pruned_loss=0.2288, over 2780087.27 frames. utt_duration=257.8 frames, utt_pad_proportion=0.0695, over 43385.04 utterances.], batch size: 60, lr: 1.92e-03
+2022-09-17 02:30:55,777 INFO [train.py:885] (1/2) Epoch 1, batch 11150, loss[loss=0.415, simple_loss=0.4419, pruned_loss=0.194, over 14341.00 frames. utt_duration=479.4 frames, utt_pad_proportion=0.0374, over 120.00 utterances.], tot_loss[loss=0.4559, simple_loss=0.4565, pruned_loss=0.2276, over 2782128.14 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06932, over 43564.86 utterances.], batch size: 120, lr: 1.92e-03
+2022-09-17 02:31:25,864 INFO [train.py:885] (1/2) Epoch 1, batch 11200, loss[loss=0.5204, simple_loss=0.4982, pruned_loss=0.2713, over 14337.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03956, over 167.00 utterances.], tot_loss[loss=0.4565, simple_loss=0.4569, pruned_loss=0.228, over 2780445.85 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06971, over 44269.57 utterances.], batch size: 167, lr: 1.92e-03
+2022-09-17 02:31:55,216 INFO [train.py:885] (1/2) Epoch 1, batch 11250, loss[loss=0.5986, simple_loss=0.5511, pruned_loss=0.323, over 14357.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03304, over 244.00 utterances.], tot_loss[loss=0.4512, simple_loss=0.4523, pruned_loss=0.2251, over 2782857.30 frames. utt_duration=263.5 frames, utt_pad_proportion=0.06816, over 42485.12 utterances.], batch size: 244, lr: 1.91e-03
+2022-09-17 02:32:25,603 INFO [train.py:885] (1/2) Epoch 1, batch 11300, loss[loss=0.2784, simple_loss=0.3188, pruned_loss=0.119, over 13616.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08415, over 50.00 utterances.], tot_loss[loss=0.4532, simple_loss=0.4537, pruned_loss=0.2263, over 2777319.48 frames. utt_duration=257.8 frames, utt_pad_proportion=0.07221, over 43336.61 utterances.], batch size: 50, lr: 1.91e-03
+2022-09-17 02:32:53,934 INFO [train.py:885] (1/2) Epoch 1, batch 11350, loss[loss=0.5305, simple_loss=0.514, pruned_loss=0.2735, over 14339.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03685, over 195.00 utterances.], tot_loss[loss=0.4595, simple_loss=0.4581, pruned_loss=0.2304, over 2782048.06 frames. utt_duration=256.3 frames, utt_pad_proportion=0.07043, over 43674.13 utterances.], batch size: 195, lr: 1.90e-03
+2022-09-17 02:33:24,169 INFO [train.py:885] (1/2) Epoch 1, batch 11400, loss[loss=0.2634, simple_loss=0.284, pruned_loss=0.1214, over 12251.00 frames. utt_duration=2043 frames, utt_pad_proportion=0.1528, over 24.00 utterances.], tot_loss[loss=0.4582, simple_loss=0.4572, pruned_loss=0.2296, over 2781827.95 frames. utt_duration=257.6 frames, utt_pad_proportion=0.07071, over 43448.61 utterances.], batch size: 24, lr: 1.90e-03
+2022-09-17 02:33:53,064 INFO [train.py:885] (1/2) Epoch 1, batch 11450, loss[loss=0.4048, simple_loss=0.3887, pruned_loss=0.2105, over 14008.00 frames. utt_duration=710.8 frames, utt_pad_proportion=0.06103, over 79.00 utterances.], tot_loss[loss=0.4584, simple_loss=0.4578, pruned_loss=0.2295, over 2786456.04 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06985, over 43266.16 utterances.], batch size: 79, lr: 1.90e-03
+2022-09-17 02:34:22,644 INFO [train.py:885] (1/2) Epoch 1, batch 11500, loss[loss=0.2971, simple_loss=0.3192, pruned_loss=0.1375, over 13262.00 frames. utt_duration=1609 frames, utt_pad_proportion=0.1041, over 33.00 utterances.], tot_loss[loss=0.4518, simple_loss=0.4527, pruned_loss=0.2255, over 2784580.08 frames. utt_duration=267.2 frames, utt_pad_proportion=0.06988, over 41911.93 utterances.], batch size: 33, lr: 1.89e-03
+2022-09-17 02:34:52,118 INFO [train.py:885] (1/2) Epoch 1, batch 11550, loss[loss=0.4813, simple_loss=0.4675, pruned_loss=0.2476, over 14298.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04111, over 154.00 utterances.], tot_loss[loss=0.449, simple_loss=0.4506, pruned_loss=0.2236, over 2785646.35 frames. utt_duration=269.6 frames, utt_pad_proportion=0.06889, over 41556.90 utterances.], batch size: 154, lr: 1.89e-03
+2022-09-17 02:35:21,425 INFO [train.py:885] (1/2) Epoch 1, batch 11600, loss[loss=0.8385, simple_loss=0.7749, pruned_loss=0.451, over 12389.00 frames. utt_duration=62.75 frames, utt_pad_proportion=0.152, over 810.00 utterances.], tot_loss[loss=0.4477, simple_loss=0.4492, pruned_loss=0.2231, over 2779908.60 frames. utt_duration=268.4 frames, utt_pad_proportion=0.0715, over 41665.19 utterances.], batch size: 810, lr: 1.89e-03
+2022-09-17 02:35:51,573 INFO [train.py:885] (1/2) Epoch 1, batch 11650, loss[loss=0.354, simple_loss=0.3817, pruned_loss=0.1631, over 12646.00 frames. utt_duration=2109 frames, utt_pad_proportion=0.1391, over 24.00 utterances.], tot_loss[loss=0.4557, simple_loss=0.4564, pruned_loss=0.2275, over 2775376.96 frames. utt_duration=252 frames, utt_pad_proportion=0.07418, over 44309.20 utterances.], batch size: 24, lr: 1.88e-03
+2022-09-17 02:36:21,325 INFO [train.py:885] (1/2) Epoch 1, batch 11700, loss[loss=0.3472, simple_loss=0.3748, pruned_loss=0.1598, over 13995.00 frames. utt_duration=709.9 frames, utt_pad_proportion=0.06096, over 79.00 utterances.], tot_loss[loss=0.4605, simple_loss=0.4608, pruned_loss=0.2301, over 2778475.33 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07421, over 45919.01 utterances.], batch size: 79, lr: 1.88e-03
+2022-09-17 02:36:51,041 INFO [train.py:885] (1/2) Epoch 1, batch 11750, loss[loss=0.5274, simple_loss=0.5073, pruned_loss=0.2737, over 14360.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03324, over 244.00 utterances.], tot_loss[loss=0.4599, simple_loss=0.4603, pruned_loss=0.2298, over 2783142.01 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07104, over 45076.30 utterances.], batch size: 244, lr: 1.88e-03
+2022-09-17 02:37:20,081 INFO [train.py:885] (1/2) Epoch 1, batch 11800, loss[loss=0.4289, simple_loss=0.4376, pruned_loss=0.2101, over 14330.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.03809, over 130.00 utterances.], tot_loss[loss=0.4568, simple_loss=0.458, pruned_loss=0.2278, over 2785368.57 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06988, over 44158.02 utterances.], batch size: 130, lr: 1.87e-03
+2022-09-17 02:37:50,558 INFO [train.py:885] (1/2) Epoch 1, batch 11850, loss[loss=0.375, simple_loss=0.4122, pruned_loss=0.1689, over 14254.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04514, over 141.00 utterances.], tot_loss[loss=0.4629, simple_loss=0.4634, pruned_loss=0.2311, over 2784013.99 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07314, over 46999.39 utterances.], batch size: 141, lr: 1.87e-03
+2022-09-17 02:38:19,854 INFO [train.py:885] (1/2) Epoch 1, batch 11900, loss[loss=0.5514, simple_loss=0.5282, pruned_loss=0.2873, over 14395.00 frames. utt_duration=275.4 frames, utt_pad_proportion=0.03358, over 210.00 utterances.], tot_loss[loss=0.4601, simple_loss=0.4613, pruned_loss=0.2294, over 2780430.46 frames. utt_duration=242.3 frames, utt_pad_proportion=0.0724, over 46177.19 utterances.], batch size: 210, lr: 1.87e-03
+2022-09-17 02:38:49,641 INFO [train.py:885] (1/2) Epoch 1, batch 11950, loss[loss=0.6109, simple_loss=0.567, pruned_loss=0.3274, over 14283.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.04094, over 283.00 utterances.], tot_loss[loss=0.4641, simple_loss=0.465, pruned_loss=0.2316, over 2782301.22 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07251, over 47264.61 utterances.], batch size: 283, lr: 1.86e-03
+2022-09-17 02:39:19,295 INFO [train.py:885] (1/2) Epoch 1, batch 12000, loss[loss=0.3874, simple_loss=0.4041, pruned_loss=0.1854, over 14281.00 frames. utt_duration=477.5 frames, utt_pad_proportion=0.04121, over 120.00 utterances.], tot_loss[loss=0.4608, simple_loss=0.4625, pruned_loss=0.2296, over 2785649.73 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07049, over 45995.32 utterances.], batch size: 120, lr: 1.86e-03
+2022-09-17 02:39:19,296 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 02:39:24,060 INFO [train.py:914] (1/2) Epoch 1, validation: loss=0.3121, simple_loss=0.3546, pruned_loss=0.1348, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 02:39:53,091 INFO [train.py:885] (1/2) Epoch 1, batch 12050, loss[loss=0.2961, simple_loss=0.3411, pruned_loss=0.1256, over 13739.00 frames. utt_duration=797.8 frames, utt_pad_proportion=0.07125, over 69.00 utterances.], tot_loss[loss=0.4589, simple_loss=0.4618, pruned_loss=0.228, over 2783238.00 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07127, over 46705.24 utterances.], batch size: 69, lr: 1.86e-03
+2022-09-17 02:40:23,147 INFO [train.py:885] (1/2) Epoch 1, batch 12100, loss[loss=0.4836, simple_loss=0.4874, pruned_loss=0.2398, over 14301.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03911, over 225.00 utterances.], tot_loss[loss=0.4613, simple_loss=0.4631, pruned_loss=0.2297, over 2782307.84 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07253, over 47290.84 utterances.], batch size: 225, lr: 1.85e-03
+2022-09-17 02:40:52,708 INFO [train.py:885] (1/2) Epoch 1, batch 12150, loss[loss=0.4738, simple_loss=0.4891, pruned_loss=0.2293, over 14322.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03819, over 195.00 utterances.], tot_loss[loss=0.4589, simple_loss=0.4613, pruned_loss=0.2282, over 2775729.93 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07463, over 46984.00 utterances.], batch size: 195, lr: 1.85e-03
+2022-09-17 02:41:22,384 INFO [train.py:885] (1/2) Epoch 1, batch 12200, loss[loss=0.5029, simple_loss=0.4977, pruned_loss=0.2541, over 14285.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04125, over 262.00 utterances.], tot_loss[loss=0.4548, simple_loss=0.4583, pruned_loss=0.2257, over 2782017.52 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07157, over 45948.06 utterances.], batch size: 262, lr: 1.85e-03
+2022-09-17 02:41:51,339 INFO [train.py:885] (1/2) Epoch 1, batch 12250, loss[loss=0.3173, simple_loss=0.3513, pruned_loss=0.1416, over 13976.00 frames. utt_duration=709.1 frames, utt_pad_proportion=0.06204, over 79.00 utterances.], tot_loss[loss=0.4503, simple_loss=0.4546, pruned_loss=0.223, over 2784369.56 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07131, over 45202.21 utterances.], batch size: 79, lr: 1.84e-03
+2022-09-17 02:42:21,394 INFO [train.py:885] (1/2) Epoch 1, batch 12300, loss[loss=0.2988, simple_loss=0.3129, pruned_loss=0.1423, over 14043.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.05728, over 79.00 utterances.], tot_loss[loss=0.448, simple_loss=0.452, pruned_loss=0.222, over 2778009.70 frames. utt_duration=252.2 frames, utt_pad_proportion=0.0708, over 44320.07 utterances.], batch size: 79, lr: 1.84e-03
+2022-09-17 02:42:50,350 INFO [train.py:885] (1/2) Epoch 1, batch 12350, loss[loss=0.5026, simple_loss=0.5281, pruned_loss=0.2386, over 13618.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.07598, over 478.00 utterances.], tot_loss[loss=0.4514, simple_loss=0.4552, pruned_loss=0.2238, over 2778946.51 frames. utt_duration=246.3 frames, utt_pad_proportion=0.0718, over 45400.26 utterances.], batch size: 478, lr: 1.84e-03
+2022-09-17 02:43:21,201 INFO [train.py:885] (1/2) Epoch 1, batch 12400, loss[loss=0.509, simple_loss=0.483, pruned_loss=0.2675, over 14312.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03745, over 180.00 utterances.], tot_loss[loss=0.4566, simple_loss=0.459, pruned_loss=0.2271, over 2778390.41 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07309, over 45851.20 utterances.], batch size: 180, lr: 1.83e-03
+2022-09-17 02:43:50,714 INFO [train.py:885] (1/2) Epoch 1, batch 12450, loss[loss=0.38, simple_loss=0.4067, pruned_loss=0.1766, over 14168.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04348, over 109.00 utterances.], tot_loss[loss=0.4592, simple_loss=0.4607, pruned_loss=0.2288, over 2781904.68 frames. utt_duration=244 frames, utt_pad_proportion=0.07201, over 45876.32 utterances.], batch size: 109, lr: 1.83e-03
+2022-09-17 02:44:19,436 INFO [train.py:885] (1/2) Epoch 1, batch 12500, loss[loss=0.8552, simple_loss=0.7932, pruned_loss=0.4586, over 12582.00 frames. utt_duration=63.77 frames, utt_pad_proportion=0.1382, over 810.00 utterances.], tot_loss[loss=0.4571, simple_loss=0.4593, pruned_loss=0.2274, over 2781888.43 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07173, over 45595.00 utterances.], batch size: 810, lr: 1.83e-03
+2022-09-17 02:44:49,334 INFO [train.py:885] (1/2) Epoch 1, batch 12550, loss[loss=0.5658, simple_loss=0.5393, pruned_loss=0.2962, over 14246.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04222, over 335.00 utterances.], tot_loss[loss=0.4551, simple_loss=0.4583, pruned_loss=0.2259, over 2780907.99 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07223, over 45889.37 utterances.], batch size: 335, lr: 1.83e-03
+2022-09-17 02:45:16,147 INFO [train.py:885] (1/2) Epoch 1, batch 12600, loss[loss=0.3379, simple_loss=0.3635, pruned_loss=0.1562, over 13900.00 frames. utt_duration=807.4 frames, utt_pad_proportion=0.06008, over 69.00 utterances.], tot_loss[loss=0.4543, simple_loss=0.4574, pruned_loss=0.2256, over 2787150.32 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06861, over 44741.50 utterances.], batch size: 69, lr: 1.82e-03
+2022-09-17 02:45:34,936 INFO [train.py:885] (1/2) Epoch 2, batch 0, loss[loss=0.3585, simple_loss=0.3954, pruned_loss=0.1608, over 14257.00 frames. utt_duration=476.5 frames, utt_pad_proportion=0.04316, over 120.00 utterances.], tot_loss[loss=0.3585, simple_loss=0.3954, pruned_loss=0.1608, over 14257.00 frames. utt_duration=476.5 frames, utt_pad_proportion=0.04316, over 120.00 utterances.], batch size: 120, lr: 1.81e-03
+2022-09-17 02:46:04,099 INFO [train.py:885] (1/2) Epoch 2, batch 50, loss[loss=0.5513, simple_loss=0.5234, pruned_loss=0.2896, over 14322.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.03809, over 226.00 utterances.], tot_loss[loss=0.4344, simple_loss=0.4418, pruned_loss=0.2135, over 630304.05 frames. utt_duration=277 frames, utt_pad_proportion=0.06774, over 9149.32 utterances.], batch size: 226, lr: 1.81e-03
+2022-09-17 02:46:34,205 INFO [train.py:885] (1/2) Epoch 2, batch 100, loss[loss=0.2708, simple_loss=0.3082, pruned_loss=0.1167, over 13862.00 frames. utt_duration=925.7 frames, utt_pad_proportion=0.06683, over 60.00 utterances.], tot_loss[loss=0.4498, simple_loss=0.4555, pruned_loss=0.222, over 1105679.01 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07403, over 18530.34 utterances.], batch size: 60, lr: 1.80e-03
+2022-09-17 02:47:03,602 INFO [train.py:885] (1/2) Epoch 2, batch 150, loss[loss=0.5447, simple_loss=0.5485, pruned_loss=0.2704, over 13800.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06971, over 411.00 utterances.], tot_loss[loss=0.4397, simple_loss=0.4472, pruned_loss=0.2161, over 1479666.72 frames. utt_duration=254 frames, utt_pad_proportion=0.06769, over 23440.99 utterances.], batch size: 411, lr: 1.80e-03
+2022-09-17 02:47:40,835 INFO [train.py:885] (1/2) Epoch 2, batch 200, loss[loss=0.5749, simple_loss=0.5411, pruned_loss=0.3043, over 14229.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04277, over 306.00 utterances.], tot_loss[loss=0.4555, simple_loss=0.4613, pruned_loss=0.2248, over 1766950.60 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07302, over 31237.22 utterances.], batch size: 306, lr: 1.80e-03
+2022-09-17 02:48:10,698 INFO [train.py:885] (1/2) Epoch 2, batch 250, loss[loss=0.4178, simple_loss=0.4409, pruned_loss=0.1973, over 14271.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.0405, over 180.00 utterances.], tot_loss[loss=0.457, simple_loss=0.4626, pruned_loss=0.2257, over 1986013.51 frames. utt_duration=226.9 frames, utt_pad_proportion=0.07501, over 35236.19 utterances.], batch size: 180, lr: 1.79e-03
+2022-09-17 02:48:39,765 INFO [train.py:885] (1/2) Epoch 2, batch 300, loss[loss=0.409, simple_loss=0.4205, pruned_loss=0.1987, over 14199.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.04655, over 141.00 utterances.], tot_loss[loss=0.451, simple_loss=0.4569, pruned_loss=0.2226, over 2160695.80 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07481, over 36279.04 utterances.], batch size: 141, lr: 1.79e-03
+2022-09-17 02:49:09,318 INFO [train.py:885] (1/2) Epoch 2, batch 350, loss[loss=0.3692, simple_loss=0.3878, pruned_loss=0.1753, over 14083.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05377, over 98.00 utterances.], tot_loss[loss=0.4497, simple_loss=0.4565, pruned_loss=0.2215, over 2294465.19 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07708, over 39009.80 utterances.], batch size: 98, lr: 1.79e-03
+2022-09-17 02:49:38,595 INFO [train.py:885] (1/2) Epoch 2, batch 400, loss[loss=0.5814, simple_loss=0.5421, pruned_loss=0.3103, over 14387.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03137, over 244.00 utterances.], tot_loss[loss=0.4515, simple_loss=0.4567, pruned_loss=0.2231, over 2405322.00 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07356, over 39961.42 utterances.], batch size: 244, lr: 1.78e-03
+2022-09-17 02:50:08,462 INFO [train.py:885] (1/2) Epoch 2, batch 450, loss[loss=0.3264, simple_loss=0.3596, pruned_loss=0.1466, over 14254.00 frames. utt_duration=642 frames, utt_pad_proportion=0.04034, over 89.00 utterances.], tot_loss[loss=0.4498, simple_loss=0.4564, pruned_loss=0.2216, over 2489506.65 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07253, over 42016.34 utterances.], batch size: 89, lr: 1.78e-03
+2022-09-17 02:50:37,819 INFO [train.py:885] (1/2) Epoch 2, batch 500, loss[loss=0.5448, simple_loss=0.5233, pruned_loss=0.2832, over 14228.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04336, over 335.00 utterances.], tot_loss[loss=0.4501, simple_loss=0.4565, pruned_loss=0.2219, over 2553304.74 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07237, over 42659.86 utterances.], batch size: 335, lr: 1.78e-03
+2022-09-17 02:51:07,239 INFO [train.py:885] (1/2) Epoch 2, batch 550, loss[loss=0.2436, simple_loss=0.2824, pruned_loss=0.1024, over 13324.00 frames. utt_duration=1617 frames, utt_pad_proportion=0.09992, over 33.00 utterances.], tot_loss[loss=0.4441, simple_loss=0.4519, pruned_loss=0.2182, over 2599507.57 frames. utt_duration=246 frames, utt_pad_proportion=0.07373, over 42528.80 utterances.], batch size: 33, lr: 1.78e-03
+2022-09-17 02:51:36,614 INFO [train.py:885] (1/2) Epoch 2, batch 600, loss[loss=0.3862, simple_loss=0.4041, pruned_loss=0.1842, over 14099.00 frames. utt_duration=577 frames, utt_pad_proportion=0.05105, over 98.00 utterances.], tot_loss[loss=0.443, simple_loss=0.4507, pruned_loss=0.2176, over 2638533.41 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07254, over 42754.71 utterances.], batch size: 98, lr: 1.77e-03
+2022-09-17 02:52:05,663 INFO [train.py:885] (1/2) Epoch 2, batch 650, loss[loss=0.4172, simple_loss=0.4323, pruned_loss=0.201, over 14258.00 frames. utt_duration=318.2 frames, utt_pad_proportion=0.04145, over 180.00 utterances.], tot_loss[loss=0.446, simple_loss=0.4524, pruned_loss=0.2199, over 2670255.12 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07156, over 43176.83 utterances.], batch size: 180, lr: 1.77e-03
+2022-09-17 02:52:36,248 INFO [train.py:885] (1/2) Epoch 2, batch 700, loss[loss=0.2919, simple_loss=0.3217, pruned_loss=0.1311, over 13578.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08117, over 50.00 utterances.], tot_loss[loss=0.4447, simple_loss=0.4503, pruned_loss=0.2195, over 2694987.63 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07074, over 42787.07 utterances.], batch size: 50, lr: 1.77e-03
+2022-09-17 02:53:04,845 INFO [train.py:885] (1/2) Epoch 2, batch 750, loss[loss=0.4877, simple_loss=0.4862, pruned_loss=0.2446, over 14373.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03203, over 244.00 utterances.], tot_loss[loss=0.4428, simple_loss=0.4488, pruned_loss=0.2184, over 2716595.90 frames. utt_duration=255.9 frames, utt_pad_proportion=0.07082, over 42714.76 utterances.], batch size: 244, lr: 1.76e-03
+2022-09-17 02:53:34,720 INFO [train.py:885] (1/2) Epoch 2, batch 800, loss[loss=0.5052, simple_loss=0.5011, pruned_loss=0.2547, over 14328.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03863, over 262.00 utterances.], tot_loss[loss=0.447, simple_loss=0.4528, pruned_loss=0.2206, over 2729693.40 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07174, over 44384.88 utterances.], batch size: 262, lr: 1.76e-03
+2022-09-17 02:54:03,403 INFO [train.py:885] (1/2) Epoch 2, batch 850, loss[loss=0.2822, simple_loss=0.3049, pruned_loss=0.1298, over 13417.00 frames. utt_duration=1279 frames, utt_pad_proportion=0.09584, over 42.00 utterances.], tot_loss[loss=0.4497, simple_loss=0.4549, pruned_loss=0.2223, over 2743326.75 frames. utt_duration=246.3 frames, utt_pad_proportion=0.0712, over 44829.74 utterances.], batch size: 42, lr: 1.76e-03
+2022-09-17 02:54:33,251 INFO [train.py:885] (1/2) Epoch 2, batch 900, loss[loss=0.4259, simple_loss=0.4365, pruned_loss=0.2076, over 14244.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04354, over 141.00 utterances.], tot_loss[loss=0.4475, simple_loss=0.4541, pruned_loss=0.2205, over 2747988.12 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07356, over 45022.51 utterances.], batch size: 141, lr: 1.75e-03
+2022-09-17 02:55:02,270 INFO [train.py:885] (1/2) Epoch 2, batch 950, loss[loss=0.4464, simple_loss=0.4574, pruned_loss=0.2177, over 14263.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04056, over 180.00 utterances.], tot_loss[loss=0.4487, simple_loss=0.4551, pruned_loss=0.2211, over 2756793.39 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07355, over 45321.15 utterances.], batch size: 180, lr: 1.75e-03
+2022-09-17 02:55:31,892 INFO [train.py:885] (1/2) Epoch 2, batch 1000, loss[loss=0.5165, simple_loss=0.5278, pruned_loss=0.2526, over 13697.00 frames. utt_duration=134.7 frames, utt_pad_proportion=0.07729, over 411.00 utterances.], tot_loss[loss=0.4515, simple_loss=0.4572, pruned_loss=0.2229, over 2761079.53 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07458, over 46159.86 utterances.], batch size: 411, lr: 1.75e-03
+2022-09-17 02:56:01,294 INFO [train.py:885] (1/2) Epoch 2, batch 1050, loss[loss=0.3796, simple_loss=0.3902, pruned_loss=0.1845, over 13962.00 frames. utt_duration=810.7 frames, utt_pad_proportion=0.05517, over 69.00 utterances.], tot_loss[loss=0.4506, simple_loss=0.4565, pruned_loss=0.2223, over 2761836.68 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07689, over 45940.79 utterances.], batch size: 69, lr: 1.75e-03
+2022-09-17 02:56:30,618 INFO [train.py:885] (1/2) Epoch 2, batch 1100, loss[loss=0.4896, simple_loss=0.4876, pruned_loss=0.2458, over 14304.00 frames. utt_duration=294.9 frames, utt_pad_proportion=0.03934, over 195.00 utterances.], tot_loss[loss=0.4482, simple_loss=0.4539, pruned_loss=0.2212, over 2770614.80 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07148, over 44149.07 utterances.], batch size: 195, lr: 1.74e-03
+2022-09-17 02:56:59,661 INFO [train.py:885] (1/2) Epoch 2, batch 1150, loss[loss=0.442, simple_loss=0.4396, pruned_loss=0.2222, over 14294.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.0403, over 130.00 utterances.], tot_loss[loss=0.4471, simple_loss=0.4538, pruned_loss=0.2202, over 2773671.32 frames. utt_duration=249.6 frames, utt_pad_proportion=0.0711, over 44710.13 utterances.], batch size: 130, lr: 1.74e-03
+2022-09-17 02:57:29,387 INFO [train.py:885] (1/2) Epoch 2, batch 1200, loss[loss=0.3376, simple_loss=0.357, pruned_loss=0.1591, over 13928.00 frames. utt_duration=706.5 frames, utt_pad_proportion=0.0642, over 79.00 utterances.], tot_loss[loss=0.4397, simple_loss=0.4481, pruned_loss=0.2156, over 2771445.96 frames. utt_duration=256.2 frames, utt_pad_proportion=0.07061, over 43526.51 utterances.], batch size: 79, lr: 1.74e-03
+2022-09-17 02:57:58,464 INFO [train.py:885] (1/2) Epoch 2, batch 1250, loss[loss=0.4983, simple_loss=0.4922, pruned_loss=0.2522, over 14302.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04055, over 262.00 utterances.], tot_loss[loss=0.4386, simple_loss=0.4469, pruned_loss=0.2151, over 2776546.92 frames. utt_duration=255.7 frames, utt_pad_proportion=0.07026, over 43678.82 utterances.], batch size: 262, lr: 1.74e-03
+2022-09-17 02:58:28,293 INFO [train.py:885] (1/2) Epoch 2, batch 1300, loss[loss=0.4382, simple_loss=0.4594, pruned_loss=0.2085, over 14393.00 frames. utt_duration=237.5 frames, utt_pad_proportion=0.03061, over 244.00 utterances.], tot_loss[loss=0.4372, simple_loss=0.4462, pruned_loss=0.2141, over 2778735.96 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06985, over 43640.12 utterances.], batch size: 244, lr: 1.73e-03
+2022-09-17 02:58:57,772 INFO [train.py:885] (1/2) Epoch 2, batch 1350, loss[loss=0.5192, simple_loss=0.4959, pruned_loss=0.2712, over 14327.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04033, over 167.00 utterances.], tot_loss[loss=0.4409, simple_loss=0.4494, pruned_loss=0.2163, over 2778043.73 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07016, over 44671.18 utterances.], batch size: 167, lr: 1.73e-03
+2022-09-17 02:59:27,774 INFO [train.py:885] (1/2) Epoch 2, batch 1400, loss[loss=0.2807, simple_loss=0.3031, pruned_loss=0.1291, over 13732.00 frames. utt_duration=916.9 frames, utt_pad_proportion=0.07106, over 60.00 utterances.], tot_loss[loss=0.4451, simple_loss=0.4529, pruned_loss=0.2187, over 2780796.78 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07062, over 45708.58 utterances.], batch size: 60, lr: 1.73e-03
+2022-09-17 02:59:56,981 INFO [train.py:885] (1/2) Epoch 2, batch 1450, loss[loss=0.2686, simple_loss=0.2992, pruned_loss=0.119, over 13581.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08516, over 50.00 utterances.], tot_loss[loss=0.4429, simple_loss=0.4504, pruned_loss=0.2178, over 2779552.06 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07083, over 45079.99 utterances.], batch size: 50, lr: 1.72e-03
+2022-09-17 03:00:26,633 INFO [train.py:885] (1/2) Epoch 2, batch 1500, loss[loss=0.6421, simple_loss=0.6356, pruned_loss=0.3243, over 13214.00 frames. utt_duration=82.48 frames, utt_pad_proportion=0.1035, over 653.00 utterances.], tot_loss[loss=0.4469, simple_loss=0.4542, pruned_loss=0.2198, over 2780674.37 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07088, over 46093.85 utterances.], batch size: 653, lr: 1.72e-03
+2022-09-17 03:00:55,848 INFO [train.py:885] (1/2) Epoch 2, batch 1550, loss[loss=0.4792, simple_loss=0.503, pruned_loss=0.2277, over 13957.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05807, over 365.00 utterances.], tot_loss[loss=0.4418, simple_loss=0.45, pruned_loss=0.2168, over 2785526.26 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06828, over 44370.89 utterances.], batch size: 365, lr: 1.72e-03
+2022-09-17 03:01:25,311 INFO [train.py:885] (1/2) Epoch 2, batch 1600, loss[loss=0.3234, simple_loss=0.3356, pruned_loss=0.1556, over 13491.00 frames. utt_duration=1286 frames, utt_pad_proportion=0.09228, over 42.00 utterances.], tot_loss[loss=0.4456, simple_loss=0.4534, pruned_loss=0.2189, over 2779477.06 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07136, over 46628.57 utterances.], batch size: 42, lr: 1.72e-03
+2022-09-17 03:01:54,879 INFO [train.py:885] (1/2) Epoch 2, batch 1650, loss[loss=0.5736, simple_loss=0.5392, pruned_loss=0.304, over 14238.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04215, over 306.00 utterances.], tot_loss[loss=0.4437, simple_loss=0.4517, pruned_loss=0.2179, over 2781465.03 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06941, over 45605.84 utterances.], batch size: 306, lr: 1.71e-03
+2022-09-17 03:02:24,313 INFO [train.py:885] (1/2) Epoch 2, batch 1700, loss[loss=0.5859, simple_loss=0.5453, pruned_loss=0.3132, over 14182.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.0455, over 306.00 utterances.], tot_loss[loss=0.446, simple_loss=0.4537, pruned_loss=0.2192, over 2775801.49 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07218, over 46600.18 utterances.], batch size: 306, lr: 1.71e-03
+2022-09-17 03:02:53,890 INFO [train.py:885] (1/2) Epoch 2, batch 1750, loss[loss=0.296, simple_loss=0.327, pruned_loss=0.1325, over 13931.00 frames. utt_duration=809.1 frames, utt_pad_proportion=0.05812, over 69.00 utterances.], tot_loss[loss=0.4415, simple_loss=0.4494, pruned_loss=0.2168, over 2777811.16 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07059, over 44953.91 utterances.], batch size: 69, lr: 1.71e-03
+2022-09-17 03:03:23,253 INFO [train.py:885] (1/2) Epoch 2, batch 1800, loss[loss=0.5137, simple_loss=0.5034, pruned_loss=0.262, over 14378.00 frames. utt_duration=296.7 frames, utt_pad_proportion=0.03366, over 195.00 utterances.], tot_loss[loss=0.4369, simple_loss=0.4459, pruned_loss=0.214, over 2776100.40 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07035, over 44096.66 utterances.], batch size: 195, lr: 1.71e-03
+2022-09-17 03:03:52,826 INFO [train.py:885] (1/2) Epoch 2, batch 1850, loss[loss=0.5435, simple_loss=0.5225, pruned_loss=0.2823, over 14381.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03223, over 244.00 utterances.], tot_loss[loss=0.4465, simple_loss=0.4543, pruned_loss=0.2193, over 2775274.12 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07375, over 46499.60 utterances.], batch size: 244, lr: 1.70e-03
+2022-09-17 03:04:22,292 INFO [train.py:885] (1/2) Epoch 2, batch 1900, loss[loss=0.3154, simple_loss=0.3578, pruned_loss=0.1365, over 14034.00 frames. utt_duration=712 frames, utt_pad_proportion=0.05818, over 79.00 utterances.], tot_loss[loss=0.4491, simple_loss=0.4564, pruned_loss=0.2209, over 2777063.07 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07493, over 47407.93 utterances.], batch size: 79, lr: 1.70e-03
+2022-09-17 03:04:51,791 INFO [train.py:885] (1/2) Epoch 2, batch 1950, loss[loss=0.3411, simple_loss=0.3656, pruned_loss=0.1583, over 14006.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.05993, over 79.00 utterances.], tot_loss[loss=0.4439, simple_loss=0.4527, pruned_loss=0.2175, over 2777639.16 frames. utt_duration=239 frames, utt_pad_proportion=0.07337, over 46772.02 utterances.], batch size: 79, lr: 1.70e-03
+2022-09-17 03:05:21,314 INFO [train.py:885] (1/2) Epoch 2, batch 2000, loss[loss=0.4625, simple_loss=0.5009, pruned_loss=0.212, over 13678.00 frames. utt_duration=134.8 frames, utt_pad_proportion=0.07696, over 411.00 utterances.], tot_loss[loss=0.4402, simple_loss=0.4496, pruned_loss=0.2155, over 2778928.55 frames. utt_duration=246 frames, utt_pad_proportion=0.07132, over 45449.50 utterances.], batch size: 411, lr: 1.69e-03
+2022-09-17 03:05:50,741 INFO [train.py:885] (1/2) Epoch 2, batch 2050, loss[loss=0.5306, simple_loss=0.5173, pruned_loss=0.272, over 14378.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03444, over 210.00 utterances.], tot_loss[loss=0.4418, simple_loss=0.4517, pruned_loss=0.2159, over 2782450.51 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07125, over 46629.51 utterances.], batch size: 210, lr: 1.69e-03
+2022-09-17 03:06:20,282 INFO [train.py:885] (1/2) Epoch 2, batch 2100, loss[loss=0.3093, simple_loss=0.3438, pruned_loss=0.1374, over 13484.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.08782, over 50.00 utterances.], tot_loss[loss=0.4346, simple_loss=0.4462, pruned_loss=0.2115, over 2782722.69 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06983, over 44715.09 utterances.], batch size: 50, lr: 1.69e-03
+2022-09-17 03:06:50,494 INFO [train.py:885] (1/2) Epoch 2, batch 2150, loss[loss=0.5745, simple_loss=0.5418, pruned_loss=0.3037, over 14236.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04218, over 306.00 utterances.], tot_loss[loss=0.4392, simple_loss=0.4492, pruned_loss=0.2146, over 2781508.21 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07145, over 45521.39 utterances.], batch size: 306, lr: 1.69e-03
+2022-09-17 03:07:20,322 INFO [train.py:885] (1/2) Epoch 2, batch 2200, loss[loss=0.3949, simple_loss=0.3969, pruned_loss=0.1964, over 14119.00 frames. utt_duration=577.7 frames, utt_pad_proportion=0.05137, over 98.00 utterances.], tot_loss[loss=0.4427, simple_loss=0.4518, pruned_loss=0.2168, over 2786755.81 frames. utt_duration=243.4 frames, utt_pad_proportion=0.06922, over 46081.93 utterances.], batch size: 98, lr: 1.68e-03
+2022-09-17 03:07:49,365 INFO [train.py:885] (1/2) Epoch 2, batch 2250, loss[loss=0.5148, simple_loss=0.5401, pruned_loss=0.2447, over 13625.00 frames. utt_duration=98.73 frames, utt_pad_proportion=0.07732, over 560.00 utterances.], tot_loss[loss=0.4414, simple_loss=0.4508, pruned_loss=0.216, over 2789622.02 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06668, over 45219.11 utterances.], batch size: 560, lr: 1.68e-03
+2022-09-17 03:08:18,529 INFO [train.py:885] (1/2) Epoch 2, batch 2300, loss[loss=0.4024, simple_loss=0.4253, pruned_loss=0.1898, over 14347.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03888, over 120.00 utterances.], tot_loss[loss=0.4356, simple_loss=0.4459, pruned_loss=0.2127, over 2790897.60 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06449, over 43835.85 utterances.], batch size: 120, lr: 1.68e-03
+2022-09-17 03:08:48,329 INFO [train.py:885] (1/2) Epoch 2, batch 2350, loss[loss=0.5044, simple_loss=0.4962, pruned_loss=0.2563, over 14339.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03782, over 262.00 utterances.], tot_loss[loss=0.4314, simple_loss=0.4433, pruned_loss=0.2098, over 2791332.89 frames. utt_duration=261.4 frames, utt_pad_proportion=0.06338, over 42944.85 utterances.], batch size: 262, lr: 1.68e-03
+2022-09-17 03:09:17,359 INFO [train.py:885] (1/2) Epoch 2, batch 2400, loss[loss=0.523, simple_loss=0.5135, pruned_loss=0.2663, over 14210.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04433, over 306.00 utterances.], tot_loss[loss=0.4299, simple_loss=0.4419, pruned_loss=0.2089, over 2789375.08 frames. utt_duration=261.8 frames, utt_pad_proportion=0.0635, over 42864.86 utterances.], batch size: 306, lr: 1.67e-03
+2022-09-17 03:09:47,085 INFO [train.py:885] (1/2) Epoch 2, batch 2450, loss[loss=0.3982, simple_loss=0.4102, pruned_loss=0.1931, over 14327.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03858, over 130.00 utterances.], tot_loss[loss=0.4398, simple_loss=0.45, pruned_loss=0.2147, over 2787135.89 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06712, over 45515.48 utterances.], batch size: 130, lr: 1.67e-03
+2022-09-17 03:10:16,391 INFO [train.py:885] (1/2) Epoch 2, batch 2500, loss[loss=0.4393, simple_loss=0.455, pruned_loss=0.2119, over 14230.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04299, over 225.00 utterances.], tot_loss[loss=0.4388, simple_loss=0.4491, pruned_loss=0.2142, over 2789483.25 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06467, over 45029.09 utterances.], batch size: 225, lr: 1.67e-03
+2022-09-17 03:10:46,197 INFO [train.py:885] (1/2) Epoch 2, batch 2550, loss[loss=0.3333, simple_loss=0.3548, pruned_loss=0.1559, over 14037.00 frames. utt_duration=712.1 frames, utt_pad_proportion=0.05803, over 79.00 utterances.], tot_loss[loss=0.4408, simple_loss=0.4508, pruned_loss=0.2154, over 2785063.11 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06724, over 45156.84 utterances.], batch size: 79, lr: 1.67e-03
+2022-09-17 03:11:15,386 INFO [train.py:885] (1/2) Epoch 2, batch 2600, loss[loss=0.5268, simple_loss=0.5114, pruned_loss=0.2711, over 14297.00 frames. utt_duration=273.8 frames, utt_pad_proportion=0.03928, over 210.00 utterances.], tot_loss[loss=0.4412, simple_loss=0.4509, pruned_loss=0.2157, over 2782731.21 frames. utt_duration=246.5 frames, utt_pad_proportion=0.06869, over 45434.96 utterances.], batch size: 210, lr: 1.66e-03
+2022-09-17 03:11:44,939 INFO [train.py:885] (1/2) Epoch 2, batch 2650, loss[loss=0.3582, simple_loss=0.3834, pruned_loss=0.1665, over 13949.00 frames. utt_duration=707.7 frames, utt_pad_proportion=0.06269, over 79.00 utterances.], tot_loss[loss=0.4452, simple_loss=0.4542, pruned_loss=0.2181, over 2780497.30 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07029, over 46685.97 utterances.], batch size: 79, lr: 1.66e-03
+2022-09-17 03:12:21,540 INFO [train.py:885] (1/2) Epoch 2, batch 2700, loss[loss=0.4615, simple_loss=0.4821, pruned_loss=0.2204, over 13986.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05668, over 365.00 utterances.], tot_loss[loss=0.4395, simple_loss=0.4504, pruned_loss=0.2143, over 2786184.55 frames. utt_duration=245.5 frames, utt_pad_proportion=0.06839, over 45674.17 utterances.], batch size: 365, lr: 1.66e-03
+2022-09-17 03:12:51,637 INFO [train.py:885] (1/2) Epoch 2, batch 2750, loss[loss=0.3855, simple_loss=0.399, pruned_loss=0.186, over 14193.00 frames. utt_duration=522.4 frames, utt_pad_proportion=0.04323, over 109.00 utterances.], tot_loss[loss=0.434, simple_loss=0.4462, pruned_loss=0.2109, over 2784861.69 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06847, over 44913.44 utterances.], batch size: 109, lr: 1.66e-03
+2022-09-17 03:13:21,326 INFO [train.py:885] (1/2) Epoch 2, batch 2800, loss[loss=0.7849, simple_loss=0.7379, pruned_loss=0.416, over 12539.00 frames. utt_duration=63.48 frames, utt_pad_proportion=0.1421, over 810.00 utterances.], tot_loss[loss=0.4369, simple_loss=0.4487, pruned_loss=0.2125, over 2786817.52 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06985, over 45321.80 utterances.], batch size: 810, lr: 1.65e-03
+2022-09-17 03:13:50,247 INFO [train.py:885] (1/2) Epoch 2, batch 2850, loss[loss=0.513, simple_loss=0.5481, pruned_loss=0.2389, over 13573.00 frames. utt_duration=98.41 frames, utt_pad_proportion=0.08026, over 560.00 utterances.], tot_loss[loss=0.4315, simple_loss=0.4441, pruned_loss=0.2094, over 2786120.38 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06858, over 43879.96 utterances.], batch size: 560, lr: 1.65e-03
+2022-09-17 03:14:19,773 INFO [train.py:885] (1/2) Epoch 2, batch 2900, loss[loss=0.272, simple_loss=0.2917, pruned_loss=0.1262, over 14008.00 frames. utt_duration=801.8 frames, utt_pad_proportion=0.06333, over 70.00 utterances.], tot_loss[loss=0.4286, simple_loss=0.4418, pruned_loss=0.2078, over 2780376.74 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07114, over 44230.74 utterances.], batch size: 70, lr: 1.65e-03
+2022-09-17 03:14:48,908 INFO [train.py:885] (1/2) Epoch 2, batch 2950, loss[loss=0.4154, simple_loss=0.4358, pruned_loss=0.1974, over 14292.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03917, over 180.00 utterances.], tot_loss[loss=0.4297, simple_loss=0.4426, pruned_loss=0.2084, over 2784911.24 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07028, over 44577.70 utterances.], batch size: 180, lr: 1.65e-03
+2022-09-17 03:15:18,824 INFO [train.py:885] (1/2) Epoch 2, batch 3000, loss[loss=0.3601, simple_loss=0.3886, pruned_loss=0.1658, over 14348.00 frames. utt_duration=523.1 frames, utt_pad_proportion=0.0402, over 110.00 utterances.], tot_loss[loss=0.4354, simple_loss=0.447, pruned_loss=0.2119, over 2783854.41 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07324, over 45674.63 utterances.], batch size: 110, lr: 1.65e-03
+2022-09-17 03:15:18,825 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 03:15:23,021 INFO [train.py:914] (1/2) Epoch 2, validation: loss=0.2888, simple_loss=0.3402, pruned_loss=0.1187, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 03:15:51,837 INFO [train.py:885] (1/2) Epoch 2, batch 3050, loss[loss=0.4217, simple_loss=0.4367, pruned_loss=0.2033, over 14413.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03496, over 155.00 utterances.], tot_loss[loss=0.4329, simple_loss=0.4447, pruned_loss=0.2106, over 2788371.49 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07046, over 44353.72 utterances.], batch size: 155, lr: 1.64e-03
+2022-09-17 03:16:21,617 INFO [train.py:885] (1/2) Epoch 2, batch 3100, loss[loss=0.4249, simple_loss=0.4335, pruned_loss=0.2082, over 14299.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.03814, over 130.00 utterances.], tot_loss[loss=0.4348, simple_loss=0.4463, pruned_loss=0.2117, over 2793251.22 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06832, over 44306.19 utterances.], batch size: 130, lr: 1.64e-03
+2022-09-17 03:16:51,167 INFO [train.py:885] (1/2) Epoch 2, batch 3150, loss[loss=0.4674, simple_loss=0.5141, pruned_loss=0.2104, over 13636.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08078, over 477.00 utterances.], tot_loss[loss=0.4376, simple_loss=0.4483, pruned_loss=0.2135, over 2789868.72 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07034, over 45023.65 utterances.], batch size: 477, lr: 1.64e-03
+2022-09-17 03:17:20,663 INFO [train.py:885] (1/2) Epoch 2, batch 3200, loss[loss=0.2323, simple_loss=0.2556, pruned_loss=0.1045, over 12853.00 frames. utt_duration=2058 frames, utt_pad_proportion=0.1251, over 25.00 utterances.], tot_loss[loss=0.4361, simple_loss=0.4472, pruned_loss=0.2125, over 2783177.19 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07237, over 45556.05 utterances.], batch size: 25, lr: 1.64e-03
+2022-09-17 03:17:50,483 INFO [train.py:885] (1/2) Epoch 2, batch 3250, loss[loss=0.3051, simple_loss=0.3391, pruned_loss=0.1355, over 14023.00 frames. utt_duration=711.5 frames, utt_pad_proportion=0.05385, over 79.00 utterances.], tot_loss[loss=0.4359, simple_loss=0.4479, pruned_loss=0.2119, over 2777670.39 frames. utt_duration=242.2 frames, utt_pad_proportion=0.0729, over 46162.76 utterances.], batch size: 79, lr: 1.63e-03
+2022-09-17 03:18:20,133 INFO [train.py:885] (1/2) Epoch 2, batch 3300, loss[loss=0.4858, simple_loss=0.4869, pruned_loss=0.2424, over 14179.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04597, over 306.00 utterances.], tot_loss[loss=0.4332, simple_loss=0.4452, pruned_loss=0.2106, over 2783886.64 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06876, over 44669.94 utterances.], batch size: 306, lr: 1.63e-03
+2022-09-17 03:18:49,500 INFO [train.py:885] (1/2) Epoch 2, batch 3350, loss[loss=0.3631, simple_loss=0.3852, pruned_loss=0.1705, over 14118.00 frames. utt_duration=519.7 frames, utt_pad_proportion=0.04826, over 109.00 utterances.], tot_loss[loss=0.4331, simple_loss=0.445, pruned_loss=0.2106, over 2788073.90 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06727, over 43971.05 utterances.], batch size: 109, lr: 1.63e-03
+2022-09-17 03:19:19,193 INFO [train.py:885] (1/2) Epoch 2, batch 3400, loss[loss=0.5691, simple_loss=0.5899, pruned_loss=0.2741, over 13184.00 frames. utt_duration=82.26 frames, utt_pad_proportion=0.1058, over 653.00 utterances.], tot_loss[loss=0.4347, simple_loss=0.4461, pruned_loss=0.2116, over 2781314.24 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06935, over 44905.12 utterances.], batch size: 653, lr: 1.63e-03
+2022-09-17 03:19:48,610 INFO [train.py:885] (1/2) Epoch 2, batch 3450, loss[loss=0.3557, simple_loss=0.3801, pruned_loss=0.1656, over 14148.00 frames. utt_duration=579 frames, utt_pad_proportion=0.05085, over 98.00 utterances.], tot_loss[loss=0.4405, simple_loss=0.4508, pruned_loss=0.2151, over 2776484.42 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07415, over 46872.91 utterances.], batch size: 98, lr: 1.62e-03
+2022-09-17 03:20:17,863 INFO [train.py:885] (1/2) Epoch 2, batch 3500, loss[loss=0.3274, simple_loss=0.3501, pruned_loss=0.1523, over 13623.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08309, over 50.00 utterances.], tot_loss[loss=0.4366, simple_loss=0.4477, pruned_loss=0.2128, over 2775955.50 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07348, over 45817.18 utterances.], batch size: 50, lr: 1.62e-03
+2022-09-17 03:20:47,795 INFO [train.py:885] (1/2) Epoch 2, batch 3550, loss[loss=0.3595, simple_loss=0.3866, pruned_loss=0.1662, over 14181.00 frames. utt_duration=522 frames, utt_pad_proportion=0.04396, over 109.00 utterances.], tot_loss[loss=0.4371, simple_loss=0.4483, pruned_loss=0.2129, over 2776104.80 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07377, over 45816.27 utterances.], batch size: 109, lr: 1.62e-03
+2022-09-17 03:21:16,931 INFO [train.py:885] (1/2) Epoch 2, batch 3600, loss[loss=0.413, simple_loss=0.434, pruned_loss=0.196, over 14205.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.04829, over 141.00 utterances.], tot_loss[loss=0.4353, simple_loss=0.4466, pruned_loss=0.212, over 2779811.22 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07113, over 45093.10 utterances.], batch size: 141, lr: 1.62e-03
+2022-09-17 03:21:46,580 INFO [train.py:885] (1/2) Epoch 2, batch 3650, loss[loss=0.5853, simple_loss=0.5485, pruned_loss=0.3111, over 14239.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04318, over 335.00 utterances.], tot_loss[loss=0.4358, simple_loss=0.4476, pruned_loss=0.212, over 2776015.91 frames. utt_duration=243 frames, utt_pad_proportion=0.07244, over 45978.35 utterances.], batch size: 335, lr: 1.61e-03
+2022-09-17 03:22:16,549 INFO [train.py:885] (1/2) Epoch 2, batch 3700, loss[loss=0.6738, simple_loss=0.6621, pruned_loss=0.3427, over 13133.00 frames. utt_duration=82.03 frames, utt_pad_proportion=0.1084, over 653.00 utterances.], tot_loss[loss=0.4388, simple_loss=0.4499, pruned_loss=0.2138, over 2776436.12 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07393, over 46929.33 utterances.], batch size: 653, lr: 1.61e-03
+2022-09-17 03:22:45,776 INFO [train.py:885] (1/2) Epoch 2, batch 3750, loss[loss=0.3641, simple_loss=0.3964, pruned_loss=0.1659, over 14353.00 frames. utt_duration=479.7 frames, utt_pad_proportion=0.0367, over 120.00 utterances.], tot_loss[loss=0.4385, simple_loss=0.4503, pruned_loss=0.2133, over 2781011.02 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07129, over 47083.68 utterances.], batch size: 120, lr: 1.61e-03
+2022-09-17 03:23:15,798 INFO [train.py:885] (1/2) Epoch 2, batch 3800, loss[loss=0.3601, simple_loss=0.3898, pruned_loss=0.1652, over 14320.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.03669, over 130.00 utterances.], tot_loss[loss=0.4336, simple_loss=0.447, pruned_loss=0.2101, over 2778339.43 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07239, over 47034.56 utterances.], batch size: 130, lr: 1.61e-03
+2022-09-17 03:23:45,308 INFO [train.py:885] (1/2) Epoch 2, batch 3850, loss[loss=0.3696, simple_loss=0.4118, pruned_loss=0.1637, over 14381.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.037, over 167.00 utterances.], tot_loss[loss=0.4339, simple_loss=0.448, pruned_loss=0.2099, over 2781724.86 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07271, over 47466.99 utterances.], batch size: 167, lr: 1.61e-03
+2022-09-17 03:24:14,868 INFO [train.py:885] (1/2) Epoch 2, batch 3900, loss[loss=0.383, simple_loss=0.4093, pruned_loss=0.1783, over 14330.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03938, over 154.00 utterances.], tot_loss[loss=0.4258, simple_loss=0.4407, pruned_loss=0.2055, over 2783761.55 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07139, over 44899.16 utterances.], batch size: 154, lr: 1.60e-03
+2022-09-17 03:24:44,500 INFO [train.py:885] (1/2) Epoch 2, batch 3950, loss[loss=0.4984, simple_loss=0.533, pruned_loss=0.2319, over 13655.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07865, over 477.00 utterances.], tot_loss[loss=0.4296, simple_loss=0.4448, pruned_loss=0.2072, over 2786763.66 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07073, over 46241.83 utterances.], batch size: 477, lr: 1.60e-03
+2022-09-17 03:25:13,787 INFO [train.py:885] (1/2) Epoch 2, batch 4000, loss[loss=0.5225, simple_loss=0.5479, pruned_loss=0.2486, over 13654.00 frames. utt_duration=98.88 frames, utt_pad_proportion=0.07592, over 560.00 utterances.], tot_loss[loss=0.4309, simple_loss=0.4453, pruned_loss=0.2082, over 2784163.20 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07025, over 46269.99 utterances.], batch size: 560, lr: 1.60e-03
+2022-09-17 03:25:44,231 INFO [train.py:885] (1/2) Epoch 2, batch 4050, loss[loss=0.4426, simple_loss=0.4566, pruned_loss=0.2143, over 14347.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03651, over 210.00 utterances.], tot_loss[loss=0.4332, simple_loss=0.4472, pruned_loss=0.2096, over 2784856.04 frames. utt_duration=241.9 frames, utt_pad_proportion=0.0713, over 46333.39 utterances.], batch size: 210, lr: 1.60e-03
+2022-09-17 03:26:12,807 INFO [train.py:885] (1/2) Epoch 2, batch 4100, loss[loss=0.5775, simple_loss=0.5489, pruned_loss=0.3031, over 14371.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03435, over 210.00 utterances.], tot_loss[loss=0.4327, simple_loss=0.4465, pruned_loss=0.2094, over 2784417.47 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07122, over 46530.95 utterances.], batch size: 210, lr: 1.59e-03
+2022-09-17 03:26:42,973 INFO [train.py:885] (1/2) Epoch 2, batch 4150, loss[loss=0.2976, simple_loss=0.312, pruned_loss=0.1415, over 13762.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.07808, over 51.00 utterances.], tot_loss[loss=0.4364, simple_loss=0.4496, pruned_loss=0.2116, over 2784981.10 frames. utt_duration=237.2 frames, utt_pad_proportion=0.0722, over 47263.37 utterances.], batch size: 51, lr: 1.59e-03
+2022-09-17 03:27:12,336 INFO [train.py:885] (1/2) Epoch 2, batch 4200, loss[loss=0.2866, simple_loss=0.3384, pruned_loss=0.1174, over 13785.00 frames. utt_duration=920.5 frames, utt_pad_proportion=0.07487, over 60.00 utterances.], tot_loss[loss=0.428, simple_loss=0.442, pruned_loss=0.2071, over 2782344.87 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07015, over 44833.85 utterances.], batch size: 60, lr: 1.59e-03
+2022-09-17 03:27:42,278 INFO [train.py:885] (1/2) Epoch 2, batch 4250, loss[loss=0.4296, simple_loss=0.4191, pruned_loss=0.2201, over 14117.00 frames. utt_duration=519.4 frames, utt_pad_proportion=0.0488, over 109.00 utterances.], tot_loss[loss=0.4341, simple_loss=0.4465, pruned_loss=0.2109, over 2783380.70 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07211, over 45921.35 utterances.], batch size: 109, lr: 1.59e-03
+2022-09-17 03:28:11,287 INFO [train.py:885] (1/2) Epoch 2, batch 4300, loss[loss=0.3548, simple_loss=0.3893, pruned_loss=0.1601, over 14223.00 frames. utt_duration=475.5 frames, utt_pad_proportion=0.04526, over 120.00 utterances.], tot_loss[loss=0.4318, simple_loss=0.4449, pruned_loss=0.2093, over 2786181.76 frames. utt_duration=245 frames, utt_pad_proportion=0.06942, over 45763.64 utterances.], batch size: 120, lr: 1.59e-03
+2022-09-17 03:28:40,866 INFO [train.py:885] (1/2) Epoch 2, batch 4350, loss[loss=0.5202, simple_loss=0.5429, pruned_loss=0.2488, over 13643.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.07448, over 478.00 utterances.], tot_loss[loss=0.427, simple_loss=0.4416, pruned_loss=0.2062, over 2784137.72 frames. utt_duration=248 frames, utt_pad_proportion=0.07086, over 45174.95 utterances.], batch size: 478, lr: 1.58e-03
+2022-09-17 03:29:09,753 INFO [train.py:885] (1/2) Epoch 2, batch 4400, loss[loss=0.3678, simple_loss=0.3902, pruned_loss=0.1727, over 14172.00 frames. utt_duration=638.5 frames, utt_pad_proportion=0.04841, over 89.00 utterances.], tot_loss[loss=0.4303, simple_loss=0.4442, pruned_loss=0.2082, over 2783995.30 frames. utt_duration=245.5 frames, utt_pad_proportion=0.0714, over 45633.86 utterances.], batch size: 89, lr: 1.58e-03
+2022-09-17 03:29:39,311 INFO [train.py:885] (1/2) Epoch 2, batch 4450, loss[loss=0.388, simple_loss=0.4198, pruned_loss=0.1781, over 14324.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.037, over 180.00 utterances.], tot_loss[loss=0.4329, simple_loss=0.4465, pruned_loss=0.2097, over 2782779.09 frames. utt_duration=242 frames, utt_pad_proportion=0.07168, over 46275.03 utterances.], batch size: 180, lr: 1.58e-03
+2022-09-17 03:30:08,934 INFO [train.py:885] (1/2) Epoch 2, batch 4500, loss[loss=0.79, simple_loss=0.7591, pruned_loss=0.4105, over 12447.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1477, over 810.00 utterances.], tot_loss[loss=0.4339, simple_loss=0.4472, pruned_loss=0.2103, over 2783057.39 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07228, over 46454.94 utterances.], batch size: 810, lr: 1.58e-03
+2022-09-17 03:30:37,688 INFO [train.py:885] (1/2) Epoch 2, batch 4550, loss[loss=0.4976, simple_loss=0.5311, pruned_loss=0.232, over 13580.00 frames. utt_duration=98.44 frames, utt_pad_proportion=0.07999, over 560.00 utterances.], tot_loss[loss=0.4349, simple_loss=0.4488, pruned_loss=0.2106, over 2784114.28 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07286, over 46956.43 utterances.], batch size: 560, lr: 1.58e-03
+2022-09-17 03:31:07,829 INFO [train.py:885] (1/2) Epoch 2, batch 4600, loss[loss=0.251, simple_loss=0.2864, pruned_loss=0.1078, over 13489.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.08442, over 50.00 utterances.], tot_loss[loss=0.4316, simple_loss=0.4467, pruned_loss=0.2083, over 2778368.56 frames. utt_duration=239 frames, utt_pad_proportion=0.07426, over 46794.05 utterances.], batch size: 50, lr: 1.57e-03
+2022-09-17 03:31:36,738 INFO [train.py:885] (1/2) Epoch 2, batch 4650, loss[loss=0.273, simple_loss=0.3183, pruned_loss=0.1139, over 13947.00 frames. utt_duration=931.5 frames, utt_pad_proportion=0.06473, over 60.00 utterances.], tot_loss[loss=0.4271, simple_loss=0.4417, pruned_loss=0.2062, over 2784150.96 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07116, over 44651.28 utterances.], batch size: 60, lr: 1.57e-03
+2022-09-17 03:32:06,327 INFO [train.py:885] (1/2) Epoch 2, batch 4700, loss[loss=0.3337, simple_loss=0.3667, pruned_loss=0.1503, over 14168.00 frames. utt_duration=638.2 frames, utt_pad_proportion=0.04893, over 89.00 utterances.], tot_loss[loss=0.4203, simple_loss=0.436, pruned_loss=0.2022, over 2777046.76 frames. utt_duration=259.8 frames, utt_pad_proportion=0.07198, over 42993.86 utterances.], batch size: 89, lr: 1.57e-03
+2022-09-17 03:32:36,343 INFO [train.py:885] (1/2) Epoch 2, batch 4750, loss[loss=0.4075, simple_loss=0.422, pruned_loss=0.1965, over 14323.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03886, over 120.00 utterances.], tot_loss[loss=0.4242, simple_loss=0.4387, pruned_loss=0.2049, over 2773125.00 frames. utt_duration=258.6 frames, utt_pad_proportion=0.07248, over 43145.73 utterances.], batch size: 120, lr: 1.57e-03
+2022-09-17 03:33:06,748 INFO [train.py:885] (1/2) Epoch 2, batch 4800, loss[loss=0.232, simple_loss=0.2847, pruned_loss=0.08964, over 13188.00 frames. utt_duration=1288 frames, utt_pad_proportion=0.09927, over 41.00 utterances.], tot_loss[loss=0.4239, simple_loss=0.4388, pruned_loss=0.2045, over 2771718.23 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07276, over 44185.87 utterances.], batch size: 41, lr: 1.56e-03
+2022-09-17 03:33:35,166 INFO [train.py:885] (1/2) Epoch 2, batch 4850, loss[loss=0.6704, simple_loss=0.6026, pruned_loss=0.3691, over 14194.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04508, over 306.00 utterances.], tot_loss[loss=0.4259, simple_loss=0.4405, pruned_loss=0.2056, over 2774918.10 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07183, over 44583.92 utterances.], batch size: 306, lr: 1.56e-03
+2022-09-17 03:34:04,790 INFO [train.py:885] (1/2) Epoch 2, batch 4900, loss[loss=0.3909, simple_loss=0.4024, pruned_loss=0.1897, over 14274.00 frames. utt_duration=520.5 frames, utt_pad_proportion=0.04497, over 110.00 utterances.], tot_loss[loss=0.4233, simple_loss=0.4389, pruned_loss=0.2038, over 2781626.21 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06888, over 43814.34 utterances.], batch size: 110, lr: 1.56e-03
+2022-09-17 03:34:34,603 INFO [train.py:885] (1/2) Epoch 2, batch 4950, loss[loss=0.2988, simple_loss=0.3324, pruned_loss=0.1326, over 14053.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.05596, over 79.00 utterances.], tot_loss[loss=0.4263, simple_loss=0.4412, pruned_loss=0.2057, over 2780893.96 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07, over 44318.57 utterances.], batch size: 79, lr: 1.56e-03
+2022-09-17 03:35:03,700 INFO [train.py:885] (1/2) Epoch 2, batch 5000, loss[loss=0.6681, simple_loss=0.5892, pruned_loss=0.3736, over 14255.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04194, over 335.00 utterances.], tot_loss[loss=0.4214, simple_loss=0.4373, pruned_loss=0.2028, over 2781974.98 frames. utt_duration=259.3 frames, utt_pad_proportion=0.06891, over 43166.34 utterances.], batch size: 335, lr: 1.56e-03
+2022-09-17 03:35:33,363 INFO [train.py:885] (1/2) Epoch 2, batch 5050, loss[loss=0.4349, simple_loss=0.4519, pruned_loss=0.2089, over 14389.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03093, over 244.00 utterances.], tot_loss[loss=0.4235, simple_loss=0.4395, pruned_loss=0.2038, over 2783510.64 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07149, over 44311.95 utterances.], batch size: 244, lr: 1.55e-03
+2022-09-17 03:36:03,269 INFO [train.py:885] (1/2) Epoch 2, batch 5100, loss[loss=0.3185, simple_loss=0.3377, pruned_loss=0.1497, over 13931.00 frames. utt_duration=809 frames, utt_pad_proportion=0.05826, over 69.00 utterances.], tot_loss[loss=0.4318, simple_loss=0.446, pruned_loss=0.2088, over 2782715.09 frames. utt_duration=242 frames, utt_pad_proportion=0.07286, over 46279.41 utterances.], batch size: 69, lr: 1.55e-03
+2022-09-17 03:36:32,064 INFO [train.py:885] (1/2) Epoch 2, batch 5150, loss[loss=0.4701, simple_loss=0.4739, pruned_loss=0.2332, over 14328.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.0406, over 167.00 utterances.], tot_loss[loss=0.4306, simple_loss=0.4449, pruned_loss=0.2081, over 2784802.22 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07232, over 45521.88 utterances.], batch size: 167, lr: 1.55e-03
+2022-09-17 03:37:02,126 INFO [train.py:885] (1/2) Epoch 2, batch 5200, loss[loss=0.7905, simple_loss=0.7602, pruned_loss=0.4103, over 12505.00 frames. utt_duration=63.24 frames, utt_pad_proportion=0.1455, over 811.00 utterances.], tot_loss[loss=0.4289, simple_loss=0.4431, pruned_loss=0.2073, over 2774475.53 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07501, over 45915.82 utterances.], batch size: 811, lr: 1.55e-03
+2022-09-17 03:37:31,113 INFO [train.py:885] (1/2) Epoch 2, batch 5250, loss[loss=0.3986, simple_loss=0.4152, pruned_loss=0.191, over 14304.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03968, over 120.00 utterances.], tot_loss[loss=0.4263, simple_loss=0.4415, pruned_loss=0.2056, over 2776958.12 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07348, over 45827.55 utterances.], batch size: 120, lr: 1.55e-03
+2022-09-17 03:38:00,955 INFO [train.py:885] (1/2) Epoch 2, batch 5300, loss[loss=0.4165, simple_loss=0.4729, pruned_loss=0.1801, over 13606.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08283, over 477.00 utterances.], tot_loss[loss=0.4274, simple_loss=0.4427, pruned_loss=0.2061, over 2775417.74 frames. utt_duration=239.2 frames, utt_pad_proportion=0.0739, over 46694.58 utterances.], batch size: 477, lr: 1.54e-03
+2022-09-17 03:38:30,174 INFO [train.py:885] (1/2) Epoch 2, batch 5350, loss[loss=0.3283, simple_loss=0.3591, pruned_loss=0.1488, over 13884.00 frames. utt_duration=806.4 frames, utt_pad_proportion=0.06124, over 69.00 utterances.], tot_loss[loss=0.424, simple_loss=0.4406, pruned_loss=0.2037, over 2778002.66 frames. utt_duration=242.7 frames, utt_pad_proportion=0.0717, over 46067.63 utterances.], batch size: 69, lr: 1.54e-03
+2022-09-17 03:38:59,966 INFO [train.py:885] (1/2) Epoch 2, batch 5400, loss[loss=0.4559, simple_loss=0.4889, pruned_loss=0.2114, over 13979.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.0577, over 365.00 utterances.], tot_loss[loss=0.4224, simple_loss=0.4384, pruned_loss=0.2031, over 2780300.95 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07056, over 45016.01 utterances.], batch size: 365, lr: 1.54e-03
+2022-09-17 03:39:28,922 INFO [train.py:885] (1/2) Epoch 2, batch 5450, loss[loss=0.2532, simple_loss=0.3068, pruned_loss=0.09977, over 13600.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08143, over 50.00 utterances.], tot_loss[loss=0.4216, simple_loss=0.4381, pruned_loss=0.2026, over 2780688.07 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07148, over 45202.64 utterances.], batch size: 50, lr: 1.54e-03
+2022-09-17 03:39:58,463 INFO [train.py:885] (1/2) Epoch 2, batch 5500, loss[loss=0.444, simple_loss=0.4553, pruned_loss=0.2163, over 14302.00 frames. utt_duration=294.9 frames, utt_pad_proportion=0.03925, over 195.00 utterances.], tot_loss[loss=0.4203, simple_loss=0.4371, pruned_loss=0.2017, over 2782976.13 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07022, over 45041.47 utterances.], batch size: 195, lr: 1.54e-03
+2022-09-17 03:40:27,625 INFO [train.py:885] (1/2) Epoch 2, batch 5550, loss[loss=0.248, simple_loss=0.3005, pruned_loss=0.09775, over 13028.00 frames. utt_duration=2006 frames, utt_pad_proportion=0.1094, over 26.00 utterances.], tot_loss[loss=0.4259, simple_loss=0.4414, pruned_loss=0.2051, over 2784917.89 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06855, over 45212.48 utterances.], batch size: 26, lr: 1.53e-03
+2022-09-17 03:40:57,563 INFO [train.py:885] (1/2) Epoch 2, batch 5600, loss[loss=0.2854, simple_loss=0.3325, pruned_loss=0.1192, over 13935.00 frames. utt_duration=809 frames, utt_pad_proportion=0.05708, over 69.00 utterances.], tot_loss[loss=0.4313, simple_loss=0.4464, pruned_loss=0.2081, over 2778577.43 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07427, over 47249.25 utterances.], batch size: 69, lr: 1.53e-03
+2022-09-17 03:41:27,548 INFO [train.py:885] (1/2) Epoch 2, batch 5650, loss[loss=0.4113, simple_loss=0.4242, pruned_loss=0.1992, over 14127.00 frames. utt_duration=520 frames, utt_pad_proportion=0.04765, over 109.00 utterances.], tot_loss[loss=0.4265, simple_loss=0.4428, pruned_loss=0.2051, over 2780285.24 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07319, over 46399.15 utterances.], batch size: 109, lr: 1.53e-03
+2022-09-17 03:41:56,921 INFO [train.py:885] (1/2) Epoch 2, batch 5700, loss[loss=0.5182, simple_loss=0.549, pruned_loss=0.2437, over 13589.00 frames. utt_duration=98.39 frames, utt_pad_proportion=0.08046, over 560.00 utterances.], tot_loss[loss=0.4284, simple_loss=0.4444, pruned_loss=0.2062, over 2780237.99 frames. utt_duration=239.9 frames, utt_pad_proportion=0.072, over 46647.48 utterances.], batch size: 560, lr: 1.53e-03
+2022-09-17 03:42:26,539 INFO [train.py:885] (1/2) Epoch 2, batch 5750, loss[loss=0.2667, simple_loss=0.3125, pruned_loss=0.1105, over 14017.00 frames. utt_duration=711.1 frames, utt_pad_proportion=0.05936, over 79.00 utterances.], tot_loss[loss=0.4263, simple_loss=0.4426, pruned_loss=0.205, over 2780913.04 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07028, over 46288.69 utterances.], batch size: 79, lr: 1.53e-03
+2022-09-17 03:42:56,179 INFO [train.py:885] (1/2) Epoch 2, batch 5800, loss[loss=0.714, simple_loss=0.7034, pruned_loss=0.3623, over 12508.00 frames. utt_duration=63.37 frames, utt_pad_proportion=0.1436, over 810.00 utterances.], tot_loss[loss=0.4251, simple_loss=0.4421, pruned_loss=0.2041, over 2780064.88 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07217, over 46482.77 utterances.], batch size: 810, lr: 1.52e-03
+2022-09-17 03:43:25,242 INFO [train.py:885] (1/2) Epoch 2, batch 5850, loss[loss=0.3241, simple_loss=0.3423, pruned_loss=0.153, over 13902.00 frames. utt_duration=705.4 frames, utt_pad_proportion=0.06452, over 79.00 utterances.], tot_loss[loss=0.4278, simple_loss=0.4443, pruned_loss=0.2056, over 2784948.31 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07058, over 47074.72 utterances.], batch size: 79, lr: 1.52e-03
+2022-09-17 03:43:55,384 INFO [train.py:885] (1/2) Epoch 2, batch 5900, loss[loss=0.4402, simple_loss=0.4539, pruned_loss=0.2132, over 14284.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.03973, over 154.00 utterances.], tot_loss[loss=0.4254, simple_loss=0.4422, pruned_loss=0.2043, over 2779649.92 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07114, over 46212.54 utterances.], batch size: 154, lr: 1.52e-03
+2022-09-17 03:44:24,370 INFO [train.py:885] (1/2) Epoch 2, batch 5950, loss[loss=0.3141, simple_loss=0.3529, pruned_loss=0.1376, over 14134.00 frames. utt_duration=578.5 frames, utt_pad_proportion=0.05167, over 98.00 utterances.], tot_loss[loss=0.4247, simple_loss=0.4414, pruned_loss=0.204, over 2781454.00 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07146, over 46223.76 utterances.], batch size: 98, lr: 1.52e-03
+2022-09-17 03:44:53,843 INFO [train.py:885] (1/2) Epoch 2, batch 6000, loss[loss=0.7607, simple_loss=0.7441, pruned_loss=0.3887, over 12528.00 frames. utt_duration=63.34 frames, utt_pad_proportion=0.144, over 811.00 utterances.], tot_loss[loss=0.4215, simple_loss=0.4391, pruned_loss=0.2019, over 2776663.13 frames. utt_duration=243 frames, utt_pad_proportion=0.07286, over 45978.73 utterances.], batch size: 811, lr: 1.52e-03
+2022-09-17 03:44:53,844 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 03:44:57,971 INFO [train.py:914] (1/2) Epoch 2, validation: loss=0.2658, simple_loss=0.3242, pruned_loss=0.1037, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 03:45:27,117 INFO [train.py:885] (1/2) Epoch 2, batch 6050, loss[loss=0.5431, simple_loss=0.5251, pruned_loss=0.2805, over 14228.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04363, over 335.00 utterances.], tot_loss[loss=0.4202, simple_loss=0.4374, pruned_loss=0.2015, over 2777889.80 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07172, over 45345.10 utterances.], batch size: 335, lr: 1.52e-03
+2022-09-17 03:45:56,942 INFO [train.py:885] (1/2) Epoch 2, batch 6100, loss[loss=0.4191, simple_loss=0.4335, pruned_loss=0.2023, over 14271.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04434, over 141.00 utterances.], tot_loss[loss=0.4194, simple_loss=0.4378, pruned_loss=0.2006, over 2779101.99 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07273, over 45998.25 utterances.], batch size: 141, lr: 1.51e-03
+2022-09-17 03:46:26,986 INFO [train.py:885] (1/2) Epoch 2, batch 6150, loss[loss=0.334, simple_loss=0.3694, pruned_loss=0.1493, over 14181.00 frames. utt_duration=639 frames, utt_pad_proportion=0.04767, over 89.00 utterances.], tot_loss[loss=0.4257, simple_loss=0.4429, pruned_loss=0.2042, over 2775697.12 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07506, over 47722.12 utterances.], batch size: 89, lr: 1.51e-03
+2022-09-17 03:46:56,479 INFO [train.py:885] (1/2) Epoch 2, batch 6200, loss[loss=0.3658, simple_loss=0.3836, pruned_loss=0.174, over 14064.00 frames. utt_duration=575.4 frames, utt_pad_proportion=0.05523, over 98.00 utterances.], tot_loss[loss=0.42, simple_loss=0.4378, pruned_loss=0.2011, over 2773489.68 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07498, over 45830.48 utterances.], batch size: 98, lr: 1.51e-03
+2022-09-17 03:47:25,817 INFO [train.py:885] (1/2) Epoch 2, batch 6250, loss[loss=0.2803, simple_loss=0.3209, pruned_loss=0.1199, over 14034.00 frames. utt_duration=803.4 frames, utt_pad_proportion=0.06148, over 70.00 utterances.], tot_loss[loss=0.4187, simple_loss=0.4369, pruned_loss=0.2003, over 2778294.83 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07299, over 45277.19 utterances.], batch size: 70, lr: 1.51e-03
+2022-09-17 03:47:55,402 INFO [train.py:885] (1/2) Epoch 2, batch 6300, loss[loss=0.4147, simple_loss=0.433, pruned_loss=0.1982, over 14328.00 frames. utt_duration=479 frames, utt_pad_proportion=0.03817, over 120.00 utterances.], tot_loss[loss=0.4186, simple_loss=0.4361, pruned_loss=0.2006, over 2783616.79 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07007, over 44192.55 utterances.], batch size: 120, lr: 1.51e-03
+2022-09-17 03:48:24,571 INFO [train.py:885] (1/2) Epoch 2, batch 6350, loss[loss=0.4428, simple_loss=0.4565, pruned_loss=0.2146, over 14311.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04123, over 167.00 utterances.], tot_loss[loss=0.413, simple_loss=0.431, pruned_loss=0.1975, over 2784906.46 frames. utt_duration=264.6 frames, utt_pad_proportion=0.0688, over 42338.37 utterances.], batch size: 167, lr: 1.50e-03
+2022-09-17 03:48:54,162 INFO [train.py:885] (1/2) Epoch 2, batch 6400, loss[loss=0.3677, simple_loss=0.3804, pruned_loss=0.1775, over 14131.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.05057, over 98.00 utterances.], tot_loss[loss=0.4115, simple_loss=0.43, pruned_loss=0.1965, over 2780424.40 frames. utt_duration=263.1 frames, utt_pad_proportion=0.06989, over 42509.72 utterances.], batch size: 98, lr: 1.50e-03
+2022-09-17 03:49:23,474 INFO [train.py:885] (1/2) Epoch 2, batch 6450, loss[loss=0.4268, simple_loss=0.4541, pruned_loss=0.1998, over 14340.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03623, over 195.00 utterances.], tot_loss[loss=0.4124, simple_loss=0.4316, pruned_loss=0.1966, over 2780565.87 frames. utt_duration=256.2 frames, utt_pad_proportion=0.07009, over 43661.46 utterances.], batch size: 195, lr: 1.50e-03
+2022-09-17 03:49:53,353 INFO [train.py:885] (1/2) Epoch 2, batch 6500, loss[loss=0.258, simple_loss=0.2846, pruned_loss=0.1157, over 13121.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.1194, over 33.00 utterances.], tot_loss[loss=0.4133, simple_loss=0.4322, pruned_loss=0.1972, over 2782634.35 frames. utt_duration=255.6 frames, utt_pad_proportion=0.06812, over 43802.82 utterances.], batch size: 33, lr: 1.50e-03
+2022-09-17 03:50:22,392 INFO [train.py:885] (1/2) Epoch 2, batch 6550, loss[loss=0.3597, simple_loss=0.3576, pruned_loss=0.1809, over 13918.00 frames. utt_duration=929.4 frames, utt_pad_proportion=0.06688, over 60.00 utterances.], tot_loss[loss=0.4118, simple_loss=0.4309, pruned_loss=0.1963, over 2782815.70 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06866, over 43856.84 utterances.], batch size: 60, lr: 1.50e-03
+2022-09-17 03:50:52,903 INFO [train.py:885] (1/2) Epoch 2, batch 6600, loss[loss=0.5266, simple_loss=0.5602, pruned_loss=0.2465, over 13137.00 frames. utt_duration=81.98 frames, utt_pad_proportion=0.1089, over 653.00 utterances.], tot_loss[loss=0.4053, simple_loss=0.426, pruned_loss=0.1923, over 2782553.26 frames. utt_duration=264 frames, utt_pad_proportion=0.06776, over 42399.68 utterances.], batch size: 653, lr: 1.49e-03
+2022-09-17 03:51:22,334 INFO [train.py:885] (1/2) Epoch 2, batch 6650, loss[loss=0.5439, simple_loss=0.5252, pruned_loss=0.2813, over 14223.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04346, over 335.00 utterances.], tot_loss[loss=0.4106, simple_loss=0.4295, pruned_loss=0.1958, over 2783719.11 frames. utt_duration=263.7 frames, utt_pad_proportion=0.06713, over 42459.64 utterances.], batch size: 335, lr: 1.49e-03
+2022-09-17 03:51:51,459 INFO [train.py:885] (1/2) Epoch 2, batch 6700, loss[loss=0.4588, simple_loss=0.4827, pruned_loss=0.2175, over 14336.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03725, over 195.00 utterances.], tot_loss[loss=0.4075, simple_loss=0.4269, pruned_loss=0.194, over 2787520.66 frames. utt_duration=271.7 frames, utt_pad_proportion=0.0646, over 41262.38 utterances.], batch size: 195, lr: 1.49e-03
+2022-09-17 03:52:20,543 INFO [train.py:885] (1/2) Epoch 2, batch 6750, loss[loss=0.2642, simple_loss=0.3082, pruned_loss=0.1101, over 13911.00 frames. utt_duration=929 frames, utt_pad_proportion=0.06635, over 60.00 utterances.], tot_loss[loss=0.4083, simple_loss=0.4275, pruned_loss=0.1946, over 2785038.46 frames. utt_duration=269.3 frames, utt_pad_proportion=0.06642, over 41599.99 utterances.], batch size: 60, lr: 1.49e-03
+2022-09-17 03:52:50,397 INFO [train.py:885] (1/2) Epoch 2, batch 6800, loss[loss=0.3209, simple_loss=0.3578, pruned_loss=0.1421, over 14188.00 frames. utt_duration=639.4 frames, utt_pad_proportion=0.04714, over 89.00 utterances.], tot_loss[loss=0.4111, simple_loss=0.4308, pruned_loss=0.1958, over 2783246.05 frames. utt_duration=257.9 frames, utt_pad_proportion=0.07024, over 43414.33 utterances.], batch size: 89, lr: 1.49e-03
+2022-09-17 03:53:20,088 INFO [train.py:885] (1/2) Epoch 2, batch 6850, loss[loss=0.4708, simple_loss=0.4734, pruned_loss=0.2341, over 14380.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03417, over 210.00 utterances.], tot_loss[loss=0.417, simple_loss=0.436, pruned_loss=0.1989, over 2780441.69 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07167, over 45553.71 utterances.], batch size: 210, lr: 1.49e-03
+2022-09-17 03:53:49,190 INFO [train.py:885] (1/2) Epoch 2, batch 6900, loss[loss=0.4582, simple_loss=0.469, pruned_loss=0.2238, over 14251.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04202, over 225.00 utterances.], tot_loss[loss=0.4215, simple_loss=0.4403, pruned_loss=0.2014, over 2782775.51 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07155, over 46510.51 utterances.], batch size: 225, lr: 1.48e-03
+2022-09-17 03:54:18,708 INFO [train.py:885] (1/2) Epoch 2, batch 6950, loss[loss=0.4297, simple_loss=0.4507, pruned_loss=0.2043, over 14310.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03972, over 283.00 utterances.], tot_loss[loss=0.4149, simple_loss=0.4337, pruned_loss=0.198, over 2779828.68 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07133, over 44223.25 utterances.], batch size: 283, lr: 1.48e-03
+2022-09-17 03:54:48,154 INFO [train.py:885] (1/2) Epoch 2, batch 7000, loss[loss=0.5084, simple_loss=0.5047, pruned_loss=0.256, over 14246.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04259, over 335.00 utterances.], tot_loss[loss=0.4162, simple_loss=0.4352, pruned_loss=0.1986, over 2777261.22 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07228, over 45001.00 utterances.], batch size: 335, lr: 1.48e-03
+2022-09-17 03:55:17,664 INFO [train.py:885] (1/2) Epoch 2, batch 7050, loss[loss=0.5521, simple_loss=0.5311, pruned_loss=0.2866, over 14201.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04548, over 335.00 utterances.], tot_loss[loss=0.4202, simple_loss=0.4378, pruned_loss=0.2013, over 2783259.82 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07096, over 45247.27 utterances.], batch size: 335, lr: 1.48e-03
+2022-09-17 03:55:46,845 INFO [train.py:885] (1/2) Epoch 2, batch 7100, loss[loss=0.4904, simple_loss=0.4909, pruned_loss=0.245, over 14206.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04438, over 306.00 utterances.], tot_loss[loss=0.4208, simple_loss=0.4377, pruned_loss=0.2019, over 2780426.85 frames. utt_duration=249.1 frames, utt_pad_proportion=0.0719, over 44913.27 utterances.], batch size: 306, lr: 1.48e-03
+2022-09-17 03:56:16,312 INFO [train.py:885] (1/2) Epoch 2, batch 7150, loss[loss=0.4382, simple_loss=0.4779, pruned_loss=0.1993, over 13981.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.0569, over 365.00 utterances.], tot_loss[loss=0.4223, simple_loss=0.4394, pruned_loss=0.2027, over 2785488.95 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07006, over 45280.73 utterances.], batch size: 365, lr: 1.48e-03
+2022-09-17 03:56:45,552 INFO [train.py:885] (1/2) Epoch 2, batch 7200, loss[loss=0.9694, simple_loss=0.8734, pruned_loss=0.5327, over 12454.00 frames. utt_duration=63.11 frames, utt_pad_proportion=0.1472, over 810.00 utterances.], tot_loss[loss=0.4255, simple_loss=0.4426, pruned_loss=0.2042, over 2786046.79 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07235, over 46095.85 utterances.], batch size: 810, lr: 1.47e-03
+2022-09-17 03:57:15,481 INFO [train.py:885] (1/2) Epoch 2, batch 7250, loss[loss=0.481, simple_loss=0.4914, pruned_loss=0.2353, over 14288.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03955, over 225.00 utterances.], tot_loss[loss=0.4262, simple_loss=0.4433, pruned_loss=0.2045, over 2786019.63 frames. utt_duration=240 frames, utt_pad_proportion=0.07073, over 46730.58 utterances.], batch size: 225, lr: 1.47e-03
+2022-09-17 03:57:45,015 INFO [train.py:885] (1/2) Epoch 2, batch 7300, loss[loss=0.3431, simple_loss=0.3782, pruned_loss=0.154, over 14080.00 frames. utt_duration=714.4 frames, utt_pad_proportion=0.05375, over 79.00 utterances.], tot_loss[loss=0.425, simple_loss=0.4428, pruned_loss=0.2036, over 2785198.77 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07086, over 47240.48 utterances.], batch size: 79, lr: 1.47e-03
+2022-09-17 03:58:14,479 INFO [train.py:885] (1/2) Epoch 2, batch 7350, loss[loss=0.398, simple_loss=0.4267, pruned_loss=0.1847, over 14313.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.0399, over 154.00 utterances.], tot_loss[loss=0.4258, simple_loss=0.444, pruned_loss=0.2038, over 2787453.96 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07082, over 47909.98 utterances.], batch size: 154, lr: 1.47e-03
+2022-09-17 03:58:53,000 INFO [train.py:885] (1/2) Epoch 2, batch 7400, loss[loss=0.2735, simple_loss=0.319, pruned_loss=0.114, over 13944.00 frames. utt_duration=809.8 frames, utt_pad_proportion=0.05615, over 69.00 utterances.], tot_loss[loss=0.4267, simple_loss=0.4445, pruned_loss=0.2044, over 2784115.92 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07279, over 48361.55 utterances.], batch size: 69, lr: 1.47e-03
+2022-09-17 03:59:22,593 INFO [train.py:885] (1/2) Epoch 2, batch 7450, loss[loss=0.2676, simple_loss=0.2965, pruned_loss=0.1194, over 13261.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.09536, over 41.00 utterances.], tot_loss[loss=0.4186, simple_loss=0.4382, pruned_loss=0.1995, over 2785174.40 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07098, over 45948.67 utterances.], batch size: 41, lr: 1.46e-03
+2022-09-17 03:59:52,152 INFO [train.py:885] (1/2) Epoch 2, batch 7500, loss[loss=0.442, simple_loss=0.4544, pruned_loss=0.2148, over 14371.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03515, over 210.00 utterances.], tot_loss[loss=0.4218, simple_loss=0.4412, pruned_loss=0.2012, over 2786594.54 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07033, over 47072.80 utterances.], batch size: 210, lr: 1.46e-03
+2022-09-17 04:00:21,542 INFO [train.py:885] (1/2) Epoch 2, batch 7550, loss[loss=0.3274, simple_loss=0.3601, pruned_loss=0.1473, over 14133.00 frames. utt_duration=578.5 frames, utt_pad_proportion=0.04854, over 98.00 utterances.], tot_loss[loss=0.4146, simple_loss=0.4349, pruned_loss=0.1972, over 2786289.10 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07029, over 45271.86 utterances.], batch size: 98, lr: 1.46e-03
+2022-09-17 04:00:51,291 INFO [train.py:885] (1/2) Epoch 2, batch 7600, loss[loss=0.4994, simple_loss=0.5001, pruned_loss=0.2494, over 14246.00 frames. utt_duration=202.9 frames, utt_pad_proportion=0.04305, over 283.00 utterances.], tot_loss[loss=0.4148, simple_loss=0.4355, pruned_loss=0.1971, over 2788429.72 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06952, over 45449.88 utterances.], batch size: 283, lr: 1.46e-03
+2022-09-17 04:01:20,584 INFO [train.py:885] (1/2) Epoch 2, batch 7650, loss[loss=0.3394, simple_loss=0.3709, pruned_loss=0.154, over 14132.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.05221, over 98.00 utterances.], tot_loss[loss=0.4098, simple_loss=0.4312, pruned_loss=0.1942, over 2784775.97 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07021, over 44789.98 utterances.], batch size: 98, lr: 1.46e-03
+2022-09-17 04:01:50,429 INFO [train.py:885] (1/2) Epoch 2, batch 7700, loss[loss=0.4583, simple_loss=0.4728, pruned_loss=0.2219, over 14337.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03775, over 283.00 utterances.], tot_loss[loss=0.4137, simple_loss=0.4345, pruned_loss=0.1965, over 2786040.37 frames. utt_duration=247 frames, utt_pad_proportion=0.07049, over 45392.15 utterances.], batch size: 283, lr: 1.46e-03
+2022-09-17 04:02:20,178 INFO [train.py:885] (1/2) Epoch 2, batch 7750, loss[loss=0.475, simple_loss=0.4987, pruned_loss=0.2256, over 13975.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05687, over 365.00 utterances.], tot_loss[loss=0.4176, simple_loss=0.438, pruned_loss=0.1986, over 2781529.49 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07192, over 47333.83 utterances.], batch size: 365, lr: 1.45e-03
+2022-09-17 04:02:49,417 INFO [train.py:885] (1/2) Epoch 2, batch 7800, loss[loss=0.4075, simple_loss=0.4647, pruned_loss=0.1751, over 13726.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07439, over 411.00 utterances.], tot_loss[loss=0.418, simple_loss=0.4382, pruned_loss=0.1989, over 2782494.36 frames. utt_duration=235.5 frames, utt_pad_proportion=0.0726, over 47559.66 utterances.], batch size: 411, lr: 1.45e-03
+2022-09-17 04:03:18,393 INFO [train.py:885] (1/2) Epoch 2, batch 7850, loss[loss=0.3145, simple_loss=0.3619, pruned_loss=0.1335, over 13974.00 frames. utt_duration=709 frames, utt_pad_proportion=0.0622, over 79.00 utterances.], tot_loss[loss=0.41, simple_loss=0.4314, pruned_loss=0.1943, over 2784997.68 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06978, over 44802.95 utterances.], batch size: 79, lr: 1.45e-03
+2022-09-17 04:03:48,375 INFO [train.py:885] (1/2) Epoch 2, batch 7900, loss[loss=0.3515, simple_loss=0.3874, pruned_loss=0.1578, over 14288.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.04147, over 130.00 utterances.], tot_loss[loss=0.4132, simple_loss=0.4338, pruned_loss=0.1963, over 2783864.29 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07041, over 45807.14 utterances.], batch size: 130, lr: 1.45e-03
+2022-09-17 04:04:17,563 INFO [train.py:885] (1/2) Epoch 2, batch 7950, loss[loss=0.2793, simple_loss=0.3261, pruned_loss=0.1163, over 13794.00 frames. utt_duration=920.9 frames, utt_pad_proportion=0.07537, over 60.00 utterances.], tot_loss[loss=0.4109, simple_loss=0.4327, pruned_loss=0.1946, over 2781638.21 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07179, over 46239.38 utterances.], batch size: 60, lr: 1.45e-03
+2022-09-17 04:04:46,678 INFO [train.py:885] (1/2) Epoch 2, batch 8000, loss[loss=0.4209, simple_loss=0.451, pruned_loss=0.1953, over 14304.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03882, over 195.00 utterances.], tot_loss[loss=0.4117, simple_loss=0.4335, pruned_loss=0.195, over 2783161.10 frames. utt_duration=242.8 frames, utt_pad_proportion=0.06959, over 46136.10 utterances.], batch size: 195, lr: 1.45e-03
+2022-09-17 04:05:16,263 INFO [train.py:885] (1/2) Epoch 2, batch 8050, loss[loss=0.4576, simple_loss=0.4693, pruned_loss=0.2229, over 14240.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04202, over 306.00 utterances.], tot_loss[loss=0.4105, simple_loss=0.4329, pruned_loss=0.1941, over 2781485.90 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07117, over 46211.53 utterances.], batch size: 306, lr: 1.44e-03
+2022-09-17 04:05:46,644 INFO [train.py:885] (1/2) Epoch 2, batch 8100, loss[loss=0.478, simple_loss=0.5196, pruned_loss=0.2182, over 13634.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.07548, over 478.00 utterances.], tot_loss[loss=0.4165, simple_loss=0.4381, pruned_loss=0.1975, over 2781654.37 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07171, over 47577.02 utterances.], batch size: 478, lr: 1.44e-03
+2022-09-17 04:06:15,960 INFO [train.py:885] (1/2) Epoch 2, batch 8150, loss[loss=0.3573, simple_loss=0.3871, pruned_loss=0.1638, over 14274.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04041, over 130.00 utterances.], tot_loss[loss=0.4127, simple_loss=0.4345, pruned_loss=0.1954, over 2781408.93 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07206, over 46293.06 utterances.], batch size: 130, lr: 1.44e-03
+2022-09-17 04:06:45,542 INFO [train.py:885] (1/2) Epoch 2, batch 8200, loss[loss=0.3805, simple_loss=0.4059, pruned_loss=0.1776, over 14327.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03835, over 120.00 utterances.], tot_loss[loss=0.4145, simple_loss=0.4364, pruned_loss=0.1963, over 2780461.17 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07313, over 46803.74 utterances.], batch size: 120, lr: 1.44e-03
+2022-09-17 04:07:14,187 INFO [train.py:885] (1/2) Epoch 2, batch 8250, loss[loss=0.3697, simple_loss=0.3961, pruned_loss=0.1717, over 14271.00 frames. utt_duration=520.3 frames, utt_pad_proportion=0.04532, over 110.00 utterances.], tot_loss[loss=0.4128, simple_loss=0.4343, pruned_loss=0.1956, over 2775134.13 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07443, over 45740.62 utterances.], batch size: 110, lr: 1.44e-03
+2022-09-17 04:07:51,224 INFO [train.py:885] (1/2) Epoch 2, batch 8300, loss[loss=0.3107, simple_loss=0.3309, pruned_loss=0.1452, over 13874.00 frames. utt_duration=805.9 frames, utt_pad_proportion=0.06187, over 69.00 utterances.], tot_loss[loss=0.413, simple_loss=0.4353, pruned_loss=0.1953, over 2775144.21 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07559, over 46629.96 utterances.], batch size: 69, lr: 1.44e-03
+2022-09-17 04:08:20,625 INFO [train.py:885] (1/2) Epoch 2, batch 8350, loss[loss=0.2404, simple_loss=0.274, pruned_loss=0.1034, over 13689.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.07897, over 42.00 utterances.], tot_loss[loss=0.4174, simple_loss=0.4387, pruned_loss=0.198, over 2773247.40 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07649, over 47831.49 utterances.], batch size: 42, lr: 1.43e-03
+2022-09-17 04:08:50,692 INFO [train.py:885] (1/2) Epoch 2, batch 8400, loss[loss=0.6948, simple_loss=0.6929, pruned_loss=0.3483, over 12468.00 frames. utt_duration=63.1 frames, utt_pad_proportion=0.1473, over 810.00 utterances.], tot_loss[loss=0.4161, simple_loss=0.4384, pruned_loss=0.1969, over 2766864.91 frames. utt_duration=226.3 frames, utt_pad_proportion=0.07871, over 49231.28 utterances.], batch size: 810, lr: 1.43e-03
+2022-09-17 04:09:20,786 INFO [train.py:885] (1/2) Epoch 2, batch 8450, loss[loss=0.4254, simple_loss=0.4496, pruned_loss=0.2006, over 14317.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03995, over 154.00 utterances.], tot_loss[loss=0.4149, simple_loss=0.4367, pruned_loss=0.1966, over 2775352.07 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07552, over 47503.85 utterances.], batch size: 154, lr: 1.43e-03
+2022-09-17 04:09:50,047 INFO [train.py:885] (1/2) Epoch 2, batch 8500, loss[loss=0.3685, simple_loss=0.4027, pruned_loss=0.1672, over 14321.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03723, over 180.00 utterances.], tot_loss[loss=0.41, simple_loss=0.4323, pruned_loss=0.1939, over 2774529.54 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07551, over 46247.78 utterances.], batch size: 180, lr: 1.43e-03
+2022-09-17 04:10:19,167 INFO [train.py:885] (1/2) Epoch 2, batch 8550, loss[loss=0.4963, simple_loss=0.4836, pruned_loss=0.2546, over 14330.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03748, over 195.00 utterances.], tot_loss[loss=0.4138, simple_loss=0.4352, pruned_loss=0.1962, over 2777021.98 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07267, over 46809.78 utterances.], batch size: 195, lr: 1.43e-03
+2022-09-17 04:10:48,204 INFO [train.py:885] (1/2) Epoch 2, batch 8600, loss[loss=0.2121, simple_loss=0.2464, pruned_loss=0.08885, over 13834.00 frames. utt_duration=924 frames, utt_pad_proportion=0.07229, over 60.00 utterances.], tot_loss[loss=0.4166, simple_loss=0.4368, pruned_loss=0.1982, over 2780469.31 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07205, over 46292.67 utterances.], batch size: 60, lr: 1.43e-03
+2022-09-17 04:11:18,980 INFO [train.py:885] (1/2) Epoch 2, batch 8650, loss[loss=0.6907, simple_loss=0.6913, pruned_loss=0.3451, over 12549.00 frames. utt_duration=63.51 frames, utt_pad_proportion=0.1417, over 810.00 utterances.], tot_loss[loss=0.4177, simple_loss=0.438, pruned_loss=0.1987, over 2781207.21 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07331, over 46854.80 utterances.], batch size: 810, lr: 1.43e-03
+2022-09-17 04:11:48,740 INFO [train.py:885] (1/2) Epoch 2, batch 8700, loss[loss=0.6157, simple_loss=0.6175, pruned_loss=0.307, over 13146.00 frames. utt_duration=82.09 frames, utt_pad_proportion=0.1077, over 653.00 utterances.], tot_loss[loss=0.4163, simple_loss=0.4374, pruned_loss=0.1976, over 2775904.08 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07436, over 47875.38 utterances.], batch size: 653, lr: 1.42e-03
+2022-09-17 04:12:18,114 INFO [train.py:885] (1/2) Epoch 2, batch 8750, loss[loss=0.3579, simple_loss=0.3948, pruned_loss=0.1604, over 14253.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04551, over 141.00 utterances.], tot_loss[loss=0.4191, simple_loss=0.4392, pruned_loss=0.1995, over 2780720.27 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07264, over 47516.22 utterances.], batch size: 141, lr: 1.42e-03
+2022-09-17 04:12:47,788 INFO [train.py:885] (1/2) Epoch 2, batch 8800, loss[loss=0.5929, simple_loss=0.6093, pruned_loss=0.2883, over 13167.00 frames. utt_duration=82.16 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.4192, simple_loss=0.4397, pruned_loss=0.1994, over 2783104.82 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07292, over 46968.55 utterances.], batch size: 653, lr: 1.42e-03
+2022-09-17 04:13:17,243 INFO [train.py:885] (1/2) Epoch 2, batch 8850, loss[loss=0.477, simple_loss=0.486, pruned_loss=0.234, over 14330.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03835, over 283.00 utterances.], tot_loss[loss=0.4155, simple_loss=0.4368, pruned_loss=0.1971, over 2779541.04 frames. utt_duration=239 frames, utt_pad_proportion=0.07201, over 46809.18 utterances.], batch size: 283, lr: 1.42e-03
+2022-09-17 04:13:47,034 INFO [train.py:885] (1/2) Epoch 2, batch 8900, loss[loss=0.3243, simple_loss=0.3312, pruned_loss=0.1588, over 13985.00 frames. utt_duration=709.5 frames, utt_pad_proportion=0.05656, over 79.00 utterances.], tot_loss[loss=0.4091, simple_loss=0.432, pruned_loss=0.1931, over 2779026.16 frames. utt_duration=245 frames, utt_pad_proportion=0.07101, over 45651.10 utterances.], batch size: 79, lr: 1.42e-03
+2022-09-17 04:14:16,454 INFO [train.py:885] (1/2) Epoch 2, batch 8950, loss[loss=0.2775, simple_loss=0.2958, pruned_loss=0.1296, over 13954.00 frames. utt_duration=810.4 frames, utt_pad_proportion=0.05659, over 69.00 utterances.], tot_loss[loss=0.4128, simple_loss=0.4349, pruned_loss=0.1954, over 2776248.18 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07168, over 46826.58 utterances.], batch size: 69, lr: 1.42e-03
+2022-09-17 04:14:46,342 INFO [train.py:885] (1/2) Epoch 2, batch 9000, loss[loss=0.4366, simple_loss=0.4909, pruned_loss=0.1912, over 13677.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.07499, over 479.00 utterances.], tot_loss[loss=0.4125, simple_loss=0.435, pruned_loss=0.195, over 2779038.05 frames. utt_duration=238.8 frames, utt_pad_proportion=0.0705, over 46833.80 utterances.], batch size: 479, lr: 1.41e-03
+2022-09-17 04:14:46,343 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 04:14:50,979 INFO [train.py:914] (1/2) Epoch 2, validation: loss=0.267, simple_loss=0.3254, pruned_loss=0.1043, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 04:15:20,850 INFO [train.py:885] (1/2) Epoch 2, batch 9050, loss[loss=0.403, simple_loss=0.4267, pruned_loss=0.1897, over 14262.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04179, over 225.00 utterances.], tot_loss[loss=0.4184, simple_loss=0.44, pruned_loss=0.1984, over 2783293.51 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07047, over 47660.85 utterances.], batch size: 225, lr: 1.41e-03
+2022-09-17 04:15:51,040 INFO [train.py:885] (1/2) Epoch 2, batch 9100, loss[loss=0.4661, simple_loss=0.47, pruned_loss=0.2311, over 14302.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04057, over 262.00 utterances.], tot_loss[loss=0.4204, simple_loss=0.4416, pruned_loss=0.1996, over 2782894.96 frames. utt_duration=230 frames, utt_pad_proportion=0.07129, over 48719.69 utterances.], batch size: 262, lr: 1.41e-03
+2022-09-17 04:16:20,577 INFO [train.py:885] (1/2) Epoch 2, batch 9150, loss[loss=0.4084, simple_loss=0.4386, pruned_loss=0.1891, over 14351.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03875, over 167.00 utterances.], tot_loss[loss=0.4097, simple_loss=0.4316, pruned_loss=0.1938, over 2777100.11 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07197, over 45005.35 utterances.], batch size: 167, lr: 1.41e-03
+2022-09-17 04:16:49,540 INFO [train.py:885] (1/2) Epoch 2, batch 9200, loss[loss=0.5642, simple_loss=0.5781, pruned_loss=0.2752, over 13603.00 frames. utt_duration=98.53 frames, utt_pad_proportion=0.07914, over 560.00 utterances.], tot_loss[loss=0.4131, simple_loss=0.4342, pruned_loss=0.196, over 2782865.33 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07057, over 45382.38 utterances.], batch size: 560, lr: 1.41e-03
+2022-09-17 04:17:19,240 INFO [train.py:885] (1/2) Epoch 2, batch 9250, loss[loss=0.4141, simple_loss=0.4383, pruned_loss=0.1949, over 14271.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04018, over 180.00 utterances.], tot_loss[loss=0.4132, simple_loss=0.4342, pruned_loss=0.1961, over 2782270.57 frames. utt_duration=250 frames, utt_pad_proportion=0.07137, over 44789.56 utterances.], batch size: 180, lr: 1.41e-03
+2022-09-17 04:17:48,752 INFO [train.py:885] (1/2) Epoch 2, batch 9300, loss[loss=0.3385, simple_loss=0.38, pruned_loss=0.1485, over 14084.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.0537, over 98.00 utterances.], tot_loss[loss=0.4124, simple_loss=0.4334, pruned_loss=0.1958, over 2780072.21 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07123, over 45011.00 utterances.], batch size: 98, lr: 1.41e-03
+2022-09-17 04:18:18,789 INFO [train.py:885] (1/2) Epoch 2, batch 9350, loss[loss=0.3352, simple_loss=0.3583, pruned_loss=0.156, over 14146.00 frames. utt_duration=637.2 frames, utt_pad_proportion=0.05035, over 89.00 utterances.], tot_loss[loss=0.4181, simple_loss=0.4383, pruned_loss=0.1989, over 2780872.71 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07265, over 47195.65 utterances.], batch size: 89, lr: 1.40e-03
+2022-09-17 04:18:48,225 INFO [train.py:885] (1/2) Epoch 2, batch 9400, loss[loss=0.301, simple_loss=0.3364, pruned_loss=0.1327, over 14269.00 frames. utt_duration=642.9 frames, utt_pad_proportion=0.04181, over 89.00 utterances.], tot_loss[loss=0.414, simple_loss=0.4349, pruned_loss=0.1966, over 2782730.40 frames. utt_duration=241 frames, utt_pad_proportion=0.0716, over 46472.45 utterances.], batch size: 89, lr: 1.40e-03
+2022-09-17 04:19:17,423 INFO [train.py:885] (1/2) Epoch 2, batch 9450, loss[loss=0.266, simple_loss=0.3186, pruned_loss=0.1067, over 13505.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08859, over 50.00 utterances.], tot_loss[loss=0.4102, simple_loss=0.432, pruned_loss=0.1943, over 2779771.33 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07244, over 45693.35 utterances.], batch size: 50, lr: 1.40e-03
+2022-09-17 04:19:46,999 INFO [train.py:885] (1/2) Epoch 2, batch 9500, loss[loss=0.2884, simple_loss=0.3506, pruned_loss=0.1131, over 13197.00 frames. utt_duration=1289 frames, utt_pad_proportion=0.1, over 41.00 utterances.], tot_loss[loss=0.412, simple_loss=0.4338, pruned_loss=0.1951, over 2781298.61 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07199, over 45820.49 utterances.], batch size: 41, lr: 1.40e-03
+2022-09-17 04:20:16,835 INFO [train.py:885] (1/2) Epoch 2, batch 9550, loss[loss=0.3931, simple_loss=0.4021, pruned_loss=0.1921, over 14205.00 frames. utt_duration=523 frames, utt_pad_proportion=0.04209, over 109.00 utterances.], tot_loss[loss=0.4146, simple_loss=0.4363, pruned_loss=0.1965, over 2783897.21 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07175, over 46381.90 utterances.], batch size: 109, lr: 1.40e-03
+2022-09-17 04:20:45,832 INFO [train.py:885] (1/2) Epoch 2, batch 9600, loss[loss=0.4628, simple_loss=0.4972, pruned_loss=0.2142, over 14001.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05601, over 365.00 utterances.], tot_loss[loss=0.4084, simple_loss=0.4311, pruned_loss=0.1929, over 2786492.70 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06844, over 44408.31 utterances.], batch size: 365, lr: 1.40e-03
+2022-09-17 04:21:15,655 INFO [train.py:885] (1/2) Epoch 2, batch 9650, loss[loss=0.3783, simple_loss=0.3931, pruned_loss=0.1818, over 14315.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03911, over 120.00 utterances.], tot_loss[loss=0.411, simple_loss=0.433, pruned_loss=0.1945, over 2784558.80 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06942, over 45140.07 utterances.], batch size: 120, lr: 1.39e-03
+2022-09-17 04:21:45,559 INFO [train.py:885] (1/2) Epoch 2, batch 9700, loss[loss=0.4308, simple_loss=0.4668, pruned_loss=0.1974, over 14021.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.05393, over 365.00 utterances.], tot_loss[loss=0.41, simple_loss=0.4329, pruned_loss=0.1936, over 2784513.05 frames. utt_duration=242.3 frames, utt_pad_proportion=0.06939, over 46256.81 utterances.], batch size: 365, lr: 1.39e-03
+2022-09-17 04:22:14,985 INFO [train.py:885] (1/2) Epoch 2, batch 9750, loss[loss=0.4982, simple_loss=0.5005, pruned_loss=0.248, over 14317.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03887, over 283.00 utterances.], tot_loss[loss=0.4092, simple_loss=0.4319, pruned_loss=0.1933, over 2781960.15 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07108, over 46147.55 utterances.], batch size: 283, lr: 1.39e-03
+2022-09-17 04:22:45,082 INFO [train.py:885] (1/2) Epoch 2, batch 9800, loss[loss=0.4611, simple_loss=0.5009, pruned_loss=0.2106, over 13649.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.0798, over 477.00 utterances.], tot_loss[loss=0.4074, simple_loss=0.4301, pruned_loss=0.1923, over 2786582.27 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06886, over 44716.98 utterances.], batch size: 477, lr: 1.39e-03
+2022-09-17 04:23:14,237 INFO [train.py:885] (1/2) Epoch 2, batch 9850, loss[loss=0.5359, simple_loss=0.5199, pruned_loss=0.276, over 14230.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04346, over 335.00 utterances.], tot_loss[loss=0.4019, simple_loss=0.4257, pruned_loss=0.1891, over 2784909.07 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06805, over 43489.84 utterances.], batch size: 335, lr: 1.39e-03
+2022-09-17 04:23:44,255 INFO [train.py:885] (1/2) Epoch 2, batch 9900, loss[loss=0.4336, simple_loss=0.4381, pruned_loss=0.2146, over 14291.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.03895, over 130.00 utterances.], tot_loss[loss=0.4062, simple_loss=0.4297, pruned_loss=0.1913, over 2783113.53 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07033, over 45182.69 utterances.], batch size: 130, lr: 1.39e-03
+2022-09-17 04:24:13,521 INFO [train.py:885] (1/2) Epoch 2, batch 9950, loss[loss=0.344, simple_loss=0.3852, pruned_loss=0.1514, over 14353.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03685, over 120.00 utterances.], tot_loss[loss=0.4101, simple_loss=0.4334, pruned_loss=0.1935, over 2783805.52 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07191, over 46439.35 utterances.], batch size: 120, lr: 1.39e-03
+2022-09-17 04:24:49,572 INFO [train.py:885] (1/2) Epoch 2, batch 10000, loss[loss=0.4697, simple_loss=0.5181, pruned_loss=0.2106, over 13635.00 frames. utt_duration=98.84 frames, utt_pad_proportion=0.07623, over 560.00 utterances.], tot_loss[loss=0.4078, simple_loss=0.432, pruned_loss=0.1919, over 2782999.52 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07109, over 46877.94 utterances.], batch size: 560, lr: 1.38e-03
+2022-09-17 04:25:19,339 INFO [train.py:885] (1/2) Epoch 2, batch 10050, loss[loss=0.4761, simple_loss=0.4824, pruned_loss=0.2348, over 14318.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04067, over 167.00 utterances.], tot_loss[loss=0.4088, simple_loss=0.4326, pruned_loss=0.1925, over 2784041.29 frames. utt_duration=241.1 frames, utt_pad_proportion=0.0715, over 46470.41 utterances.], batch size: 167, lr: 1.38e-03
+2022-09-17 04:25:48,882 INFO [train.py:885] (1/2) Epoch 2, batch 10100, loss[loss=0.5677, simple_loss=0.5389, pruned_loss=0.2983, over 14254.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04177, over 225.00 utterances.], tot_loss[loss=0.4088, simple_loss=0.433, pruned_loss=0.1923, over 2784608.62 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07087, over 46399.76 utterances.], batch size: 225, lr: 1.38e-03
+2022-09-17 04:26:18,718 INFO [train.py:885] (1/2) Epoch 2, batch 10150, loss[loss=0.2848, simple_loss=0.3293, pruned_loss=0.1202, over 12102.00 frames. utt_duration=2019 frames, utt_pad_proportion=0.1761, over 24.00 utterances.], tot_loss[loss=0.4105, simple_loss=0.4335, pruned_loss=0.1938, over 2784254.60 frames. utt_duration=244.1 frames, utt_pad_proportion=0.06968, over 45895.02 utterances.], batch size: 24, lr: 1.38e-03
+2022-09-17 04:26:48,207 INFO [train.py:885] (1/2) Epoch 2, batch 10200, loss[loss=0.5958, simple_loss=0.6108, pruned_loss=0.2904, over 13200.00 frames. utt_duration=82.38 frames, utt_pad_proportion=0.1045, over 653.00 utterances.], tot_loss[loss=0.4095, simple_loss=0.4329, pruned_loss=0.193, over 2781230.27 frames. utt_duration=244.6 frames, utt_pad_proportion=0.06974, over 45749.50 utterances.], batch size: 653, lr: 1.38e-03
+2022-09-17 04:27:17,871 INFO [train.py:885] (1/2) Epoch 2, batch 10250, loss[loss=0.348, simple_loss=0.3898, pruned_loss=0.1531, over 14306.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03944, over 120.00 utterances.], tot_loss[loss=0.413, simple_loss=0.4355, pruned_loss=0.1953, over 2780506.79 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07077, over 46307.55 utterances.], batch size: 120, lr: 1.38e-03
+2022-09-17 04:27:46,939 INFO [train.py:885] (1/2) Epoch 2, batch 10300, loss[loss=0.2422, simple_loss=0.2957, pruned_loss=0.09432, over 13904.00 frames. utt_duration=928.3 frames, utt_pad_proportion=0.06707, over 60.00 utterances.], tot_loss[loss=0.409, simple_loss=0.4322, pruned_loss=0.1929, over 2783250.46 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07016, over 45507.89 utterances.], batch size: 60, lr: 1.38e-03
+2022-09-17 04:28:17,045 INFO [train.py:885] (1/2) Epoch 2, batch 10350, loss[loss=0.2899, simple_loss=0.3085, pruned_loss=0.1357, over 13338.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08965, over 41.00 utterances.], tot_loss[loss=0.4129, simple_loss=0.4358, pruned_loss=0.195, over 2775284.95 frames. utt_duration=235.8 frames, utt_pad_proportion=0.0736, over 47368.70 utterances.], batch size: 41, lr: 1.37e-03
+2022-09-17 04:28:46,394 INFO [train.py:885] (1/2) Epoch 2, batch 10400, loss[loss=0.4417, simple_loss=0.4543, pruned_loss=0.2146, over 14317.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03745, over 180.00 utterances.], tot_loss[loss=0.4162, simple_loss=0.4388, pruned_loss=0.1968, over 2780814.28 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07288, over 48117.42 utterances.], batch size: 180, lr: 1.37e-03
+2022-09-17 04:29:15,612 INFO [train.py:885] (1/2) Epoch 2, batch 10450, loss[loss=0.4177, simple_loss=0.4699, pruned_loss=0.1828, over 13740.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07296, over 411.00 utterances.], tot_loss[loss=0.4103, simple_loss=0.4341, pruned_loss=0.1933, over 2781845.87 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07262, over 46691.24 utterances.], batch size: 411, lr: 1.37e-03
+2022-09-17 04:29:44,993 INFO [train.py:885] (1/2) Epoch 2, batch 10500, loss[loss=0.4399, simple_loss=0.461, pruned_loss=0.2094, over 14282.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.04099, over 283.00 utterances.], tot_loss[loss=0.4115, simple_loss=0.4352, pruned_loss=0.1939, over 2781006.16 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07393, over 47542.14 utterances.], batch size: 283, lr: 1.37e-03
+2022-09-17 04:30:14,500 INFO [train.py:885] (1/2) Epoch 2, batch 10550, loss[loss=0.2421, simple_loss=0.2892, pruned_loss=0.09746, over 13605.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.07779, over 42.00 utterances.], tot_loss[loss=0.4103, simple_loss=0.4339, pruned_loss=0.1934, over 2780659.18 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07313, over 46938.87 utterances.], batch size: 42, lr: 1.37e-03
+2022-09-17 04:30:44,674 INFO [train.py:885] (1/2) Epoch 2, batch 10600, loss[loss=0.5712, simple_loss=0.5427, pruned_loss=0.2998, over 14245.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04154, over 335.00 utterances.], tot_loss[loss=0.4104, simple_loss=0.4333, pruned_loss=0.1937, over 2779203.79 frames. utt_duration=239.8 frames, utt_pad_proportion=0.0722, over 46640.07 utterances.], batch size: 335, lr: 1.37e-03
+2022-09-17 04:31:13,337 INFO [train.py:885] (1/2) Epoch 2, batch 10650, loss[loss=0.3011, simple_loss=0.3411, pruned_loss=0.1305, over 13791.00 frames. utt_duration=801.1 frames, utt_pad_proportion=0.06744, over 69.00 utterances.], tot_loss[loss=0.4069, simple_loss=0.4308, pruned_loss=0.1915, over 2780464.93 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07292, over 45970.14 utterances.], batch size: 69, lr: 1.37e-03
+2022-09-17 04:31:42,779 INFO [train.py:885] (1/2) Epoch 2, batch 10700, loss[loss=0.3699, simple_loss=0.4072, pruned_loss=0.1663, over 14255.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04519, over 141.00 utterances.], tot_loss[loss=0.4117, simple_loss=0.4356, pruned_loss=0.1939, over 2781271.56 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07266, over 47663.92 utterances.], batch size: 141, lr: 1.36e-03
+2022-09-17 04:32:12,307 INFO [train.py:885] (1/2) Epoch 2, batch 10750, loss[loss=0.2469, simple_loss=0.2834, pruned_loss=0.1052, over 13551.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08549, over 50.00 utterances.], tot_loss[loss=0.4129, simple_loss=0.436, pruned_loss=0.1949, over 2779284.35 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07313, over 47992.84 utterances.], batch size: 50, lr: 1.36e-03
+2022-09-17 04:32:41,826 INFO [train.py:885] (1/2) Epoch 2, batch 10800, loss[loss=0.4544, simple_loss=0.4748, pruned_loss=0.217, over 14272.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04032, over 225.00 utterances.], tot_loss[loss=0.415, simple_loss=0.4383, pruned_loss=0.1959, over 2781091.80 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07258, over 48141.55 utterances.], batch size: 225, lr: 1.36e-03
+2022-09-17 04:33:11,674 INFO [train.py:885] (1/2) Epoch 2, batch 10850, loss[loss=0.4164, simple_loss=0.435, pruned_loss=0.1989, over 14351.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03885, over 167.00 utterances.], tot_loss[loss=0.4133, simple_loss=0.4372, pruned_loss=0.1947, over 2779137.20 frames. utt_duration=230.7 frames, utt_pad_proportion=0.07294, over 48506.87 utterances.], batch size: 167, lr: 1.36e-03
+2022-09-17 04:33:41,469 INFO [train.py:885] (1/2) Epoch 2, batch 10900, loss[loss=0.4891, simple_loss=0.4765, pruned_loss=0.2509, over 14194.00 frames. utt_duration=403.9 frames, utt_pad_proportion=0.0496, over 141.00 utterances.], tot_loss[loss=0.411, simple_loss=0.4347, pruned_loss=0.1937, over 2777955.16 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07456, over 47537.15 utterances.], batch size: 141, lr: 1.36e-03
+2022-09-17 04:34:10,494 INFO [train.py:885] (1/2) Epoch 2, batch 10950, loss[loss=0.4166, simple_loss=0.4729, pruned_loss=0.1802, over 13638.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08071, over 477.00 utterances.], tot_loss[loss=0.4071, simple_loss=0.4314, pruned_loss=0.1914, over 2779311.83 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07285, over 46442.13 utterances.], batch size: 477, lr: 1.36e-03
+2022-09-17 04:34:41,058 INFO [train.py:885] (1/2) Epoch 2, batch 11000, loss[loss=0.4826, simple_loss=0.532, pruned_loss=0.2166, over 13610.00 frames. utt_duration=98.67 frames, utt_pad_proportion=0.07789, over 560.00 utterances.], tot_loss[loss=0.404, simple_loss=0.4295, pruned_loss=0.1893, over 2782715.65 frames. utt_duration=243 frames, utt_pad_proportion=0.07187, over 46081.53 utterances.], batch size: 560, lr: 1.36e-03
+2022-09-17 04:35:10,099 INFO [train.py:885] (1/2) Epoch 2, batch 11050, loss[loss=0.5086, simple_loss=0.5403, pruned_loss=0.2384, over 13637.00 frames. utt_duration=98.84 frames, utt_pad_proportion=0.07627, over 560.00 utterances.], tot_loss[loss=0.4099, simple_loss=0.4349, pruned_loss=0.1924, over 2783326.57 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07235, over 47978.83 utterances.], batch size: 560, lr: 1.35e-03
+2022-09-17 04:35:47,417 INFO [train.py:885] (1/2) Epoch 2, batch 11100, loss[loss=0.2386, simple_loss=0.2765, pruned_loss=0.1004, over 13022.00 frames. utt_duration=2005 frames, utt_pad_proportion=0.1161, over 26.00 utterances.], tot_loss[loss=0.4048, simple_loss=0.4309, pruned_loss=0.1893, over 2783861.17 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07021, over 46389.70 utterances.], batch size: 26, lr: 1.35e-03
+2022-09-17 04:36:17,043 INFO [train.py:885] (1/2) Epoch 2, batch 11150, loss[loss=0.4192, simple_loss=0.4328, pruned_loss=0.2028, over 14227.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04664, over 141.00 utterances.], tot_loss[loss=0.4037, simple_loss=0.4301, pruned_loss=0.1887, over 2781384.85 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07199, over 46603.07 utterances.], batch size: 141, lr: 1.35e-03
+2022-09-17 04:36:46,348 INFO [train.py:885] (1/2) Epoch 2, batch 11200, loss[loss=0.2885, simple_loss=0.34, pruned_loss=0.1185, over 13695.00 frames. utt_duration=914.5 frames, utt_pad_proportion=0.07535, over 60.00 utterances.], tot_loss[loss=0.4053, simple_loss=0.4307, pruned_loss=0.19, over 2782183.58 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07199, over 45872.86 utterances.], batch size: 60, lr: 1.35e-03
+2022-09-17 04:37:15,758 INFO [train.py:885] (1/2) Epoch 2, batch 11250, loss[loss=0.5403, simple_loss=0.5671, pruned_loss=0.2568, over 13220.00 frames. utt_duration=82.47 frames, utt_pad_proportion=0.1036, over 653.00 utterances.], tot_loss[loss=0.4045, simple_loss=0.4303, pruned_loss=0.1894, over 2779547.02 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07249, over 46312.30 utterances.], batch size: 653, lr: 1.35e-03
+2022-09-17 04:37:45,529 INFO [train.py:885] (1/2) Epoch 2, batch 11300, loss[loss=0.4475, simple_loss=0.4948, pruned_loss=0.2001, over 13619.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08146, over 477.00 utterances.], tot_loss[loss=0.4049, simple_loss=0.4299, pruned_loss=0.1899, over 2782644.86 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07175, over 45601.20 utterances.], batch size: 477, lr: 1.35e-03
+2022-09-17 04:38:15,217 INFO [train.py:885] (1/2) Epoch 2, batch 11350, loss[loss=0.373, simple_loss=0.4144, pruned_loss=0.1658, over 14347.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03908, over 167.00 utterances.], tot_loss[loss=0.4057, simple_loss=0.4302, pruned_loss=0.1906, over 2777658.82 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07263, over 45969.60 utterances.], batch size: 167, lr: 1.35e-03
+2022-09-17 04:38:45,350 INFO [train.py:885] (1/2) Epoch 2, batch 11400, loss[loss=0.2849, simple_loss=0.3359, pruned_loss=0.1169, over 14055.00 frames. utt_duration=804.7 frames, utt_pad_proportion=0.05886, over 70.00 utterances.], tot_loss[loss=0.4048, simple_loss=0.4298, pruned_loss=0.1899, over 2777279.83 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07126, over 45837.68 utterances.], batch size: 70, lr: 1.35e-03
+2022-09-17 04:39:14,933 INFO [train.py:885] (1/2) Epoch 2, batch 11450, loss[loss=0.479, simple_loss=0.5009, pruned_loss=0.2285, over 14023.00 frames. utt_duration=155 frames, utt_pad_proportion=0.0551, over 365.00 utterances.], tot_loss[loss=0.4073, simple_loss=0.4318, pruned_loss=0.1914, over 2775489.44 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07238, over 47172.84 utterances.], batch size: 365, lr: 1.34e-03
+2022-09-17 04:39:43,915 INFO [train.py:885] (1/2) Epoch 2, batch 11500, loss[loss=0.3561, simple_loss=0.397, pruned_loss=0.1576, over 14290.00 frames. utt_duration=477.8 frames, utt_pad_proportion=0.04061, over 120.00 utterances.], tot_loss[loss=0.4061, simple_loss=0.4301, pruned_loss=0.191, over 2780467.08 frames. utt_duration=245 frames, utt_pad_proportion=0.06963, over 45664.09 utterances.], batch size: 120, lr: 1.34e-03
+2022-09-17 04:40:13,587 INFO [train.py:885] (1/2) Epoch 2, batch 11550, loss[loss=0.3968, simple_loss=0.4299, pruned_loss=0.1818, over 14332.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03725, over 195.00 utterances.], tot_loss[loss=0.4031, simple_loss=0.4279, pruned_loss=0.1891, over 2776849.27 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07274, over 45704.12 utterances.], batch size: 195, lr: 1.34e-03
+2022-09-17 04:40:42,972 INFO [train.py:885] (1/2) Epoch 2, batch 11600, loss[loss=0.2893, simple_loss=0.3198, pruned_loss=0.1295, over 13930.00 frames. utt_duration=809.2 frames, utt_pad_proportion=0.05799, over 69.00 utterances.], tot_loss[loss=0.4023, simple_loss=0.4267, pruned_loss=0.189, over 2776282.14 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07295, over 45076.95 utterances.], batch size: 69, lr: 1.34e-03
+2022-09-17 04:41:12,554 INFO [train.py:885] (1/2) Epoch 2, batch 11650, loss[loss=0.4419, simple_loss=0.4953, pruned_loss=0.1943, over 13817.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06908, over 411.00 utterances.], tot_loss[loss=0.3996, simple_loss=0.425, pruned_loss=0.1871, over 2779193.97 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06981, over 44647.80 utterances.], batch size: 411, lr: 1.34e-03
+2022-09-17 04:41:42,451 INFO [train.py:885] (1/2) Epoch 2, batch 11700, loss[loss=0.3653, simple_loss=0.4004, pruned_loss=0.1651, over 14259.00 frames. utt_duration=440.2 frames, utt_pad_proportion=0.04103, over 130.00 utterances.], tot_loss[loss=0.399, simple_loss=0.4245, pruned_loss=0.1868, over 2779005.81 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07208, over 44313.98 utterances.], batch size: 130, lr: 1.34e-03
+2022-09-17 04:42:11,909 INFO [train.py:885] (1/2) Epoch 2, batch 11750, loss[loss=0.4707, simple_loss=0.4641, pruned_loss=0.2387, over 14252.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04554, over 141.00 utterances.], tot_loss[loss=0.4022, simple_loss=0.4267, pruned_loss=0.1889, over 2779555.48 frames. utt_duration=251 frames, utt_pad_proportion=0.07189, over 44554.50 utterances.], batch size: 141, lr: 1.34e-03
+2022-09-17 04:42:49,053 INFO [train.py:885] (1/2) Epoch 2, batch 11800, loss[loss=0.3472, simple_loss=0.3845, pruned_loss=0.155, over 14109.00 frames. utt_duration=519.3 frames, utt_pad_proportion=0.04886, over 109.00 utterances.], tot_loss[loss=0.4036, simple_loss=0.4281, pruned_loss=0.1896, over 2776020.70 frames. utt_duration=245.6 frames, utt_pad_proportion=0.0747, over 45484.96 utterances.], batch size: 109, lr: 1.33e-03
+2022-09-17 04:43:19,258 INFO [train.py:885] (1/2) Epoch 2, batch 11850, loss[loss=0.2408, simple_loss=0.283, pruned_loss=0.09927, over 12203.00 frames. utt_duration=1954 frames, utt_pad_proportion=0.1542, over 25.00 utterances.], tot_loss[loss=0.4, simple_loss=0.4257, pruned_loss=0.1872, over 2777349.89 frames. utt_duration=247 frames, utt_pad_proportion=0.0739, over 45250.81 utterances.], batch size: 25, lr: 1.33e-03
+2022-09-17 04:43:48,817 INFO [train.py:885] (1/2) Epoch 2, batch 11900, loss[loss=0.6778, simple_loss=0.6774, pruned_loss=0.3391, over 12472.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.1459, over 810.00 utterances.], tot_loss[loss=0.4053, simple_loss=0.4307, pruned_loss=0.19, over 2777267.61 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07527, over 46793.43 utterances.], batch size: 810, lr: 1.33e-03
+2022-09-17 04:44:17,921 INFO [train.py:885] (1/2) Epoch 2, batch 11950, loss[loss=0.2711, simple_loss=0.3106, pruned_loss=0.1158, over 13829.00 frames. utt_duration=803.4 frames, utt_pad_proportion=0.06472, over 69.00 utterances.], tot_loss[loss=0.4077, simple_loss=0.4324, pruned_loss=0.1915, over 2779433.75 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07373, over 46763.25 utterances.], batch size: 69, lr: 1.33e-03
+2022-09-17 04:44:46,815 INFO [train.py:885] (1/2) Epoch 2, batch 12000, loss[loss=0.4722, simple_loss=0.4797, pruned_loss=0.2324, over 14312.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03914, over 283.00 utterances.], tot_loss[loss=0.4051, simple_loss=0.43, pruned_loss=0.1901, over 2781292.95 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07184, over 45893.71 utterances.], batch size: 283, lr: 1.33e-03
+2022-09-17 04:44:46,816 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 04:44:50,945 INFO [train.py:914] (1/2) Epoch 2, validation: loss=0.25, simple_loss=0.3137, pruned_loss=0.09315, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 04:45:20,524 INFO [train.py:885] (1/2) Epoch 2, batch 12050, loss[loss=0.5152, simple_loss=0.5106, pruned_loss=0.2599, over 14227.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04331, over 335.00 utterances.], tot_loss[loss=0.4056, simple_loss=0.4302, pruned_loss=0.1905, over 2784345.02 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07063, over 45528.37 utterances.], batch size: 335, lr: 1.33e-03
+2022-09-17 04:45:50,455 INFO [train.py:885] (1/2) Epoch 2, batch 12100, loss[loss=0.4641, simple_loss=0.4772, pruned_loss=0.2255, over 14285.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03967, over 225.00 utterances.], tot_loss[loss=0.4086, simple_loss=0.4324, pruned_loss=0.1924, over 2783862.64 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06968, over 46064.38 utterances.], batch size: 225, lr: 1.33e-03
+2022-09-17 04:46:20,170 INFO [train.py:885] (1/2) Epoch 2, batch 12150, loss[loss=0.3856, simple_loss=0.4196, pruned_loss=0.1758, over 14310.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.0407, over 154.00 utterances.], tot_loss[loss=0.4048, simple_loss=0.4291, pruned_loss=0.1902, over 2781903.12 frames. utt_duration=247.4 frames, utt_pad_proportion=0.0688, over 45248.80 utterances.], batch size: 154, lr: 1.33e-03
+2022-09-17 04:46:49,619 INFO [train.py:885] (1/2) Epoch 2, batch 12200, loss[loss=0.392, simple_loss=0.4111, pruned_loss=0.1864, over 14289.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04197, over 154.00 utterances.], tot_loss[loss=0.4043, simple_loss=0.4292, pruned_loss=0.1897, over 2781298.51 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06818, over 45414.66 utterances.], batch size: 154, lr: 1.32e-03
+2022-09-17 04:47:19,635 INFO [train.py:885] (1/2) Epoch 2, batch 12250, loss[loss=0.2475, simple_loss=0.2999, pruned_loss=0.09751, over 13886.00 frames. utt_duration=927.3 frames, utt_pad_proportion=0.06801, over 60.00 utterances.], tot_loss[loss=0.3982, simple_loss=0.424, pruned_loss=0.1862, over 2785589.75 frames. utt_duration=256 frames, utt_pad_proportion=0.06665, over 43781.66 utterances.], batch size: 60, lr: 1.32e-03
+2022-09-17 04:47:48,907 INFO [train.py:885] (1/2) Epoch 2, batch 12300, loss[loss=0.4881, simple_loss=0.4934, pruned_loss=0.2414, over 14234.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.0428, over 306.00 utterances.], tot_loss[loss=0.3979, simple_loss=0.4237, pruned_loss=0.1861, over 2787884.12 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06594, over 43406.51 utterances.], batch size: 306, lr: 1.32e-03
+2022-09-17 04:48:18,138 INFO [train.py:885] (1/2) Epoch 2, batch 12350, loss[loss=0.3137, simple_loss=0.364, pruned_loss=0.1317, over 14347.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.03734, over 130.00 utterances.], tot_loss[loss=0.3969, simple_loss=0.4232, pruned_loss=0.1853, over 2790593.33 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06686, over 43151.88 utterances.], batch size: 130, lr: 1.32e-03
+2022-09-17 04:48:47,666 INFO [train.py:885] (1/2) Epoch 2, batch 12400, loss[loss=0.344, simple_loss=0.3992, pruned_loss=0.1444, over 14286.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.04208, over 154.00 utterances.], tot_loss[loss=0.3993, simple_loss=0.4257, pruned_loss=0.1864, over 2790676.99 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06664, over 44085.24 utterances.], batch size: 154, lr: 1.32e-03
+2022-09-17 04:49:17,351 INFO [train.py:885] (1/2) Epoch 2, batch 12450, loss[loss=0.3467, simple_loss=0.3881, pruned_loss=0.1527, over 14086.00 frames. utt_duration=576.4 frames, utt_pad_proportion=0.05358, over 98.00 utterances.], tot_loss[loss=0.4026, simple_loss=0.4285, pruned_loss=0.1883, over 2786341.40 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06975, over 45146.39 utterances.], batch size: 98, lr: 1.32e-03
+2022-09-17 04:49:46,657 INFO [train.py:885] (1/2) Epoch 2, batch 12500, loss[loss=0.3646, simple_loss=0.3924, pruned_loss=0.1684, over 14341.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.03755, over 120.00 utterances.], tot_loss[loss=0.4065, simple_loss=0.4311, pruned_loss=0.191, over 2785835.32 frames. utt_duration=245 frames, utt_pad_proportion=0.07021, over 45767.15 utterances.], batch size: 120, lr: 1.32e-03
+2022-09-17 04:50:15,623 INFO [train.py:885] (1/2) Epoch 2, batch 12550, loss[loss=0.2812, simple_loss=0.3029, pruned_loss=0.1297, over 12336.00 frames. utt_duration=2058 frames, utt_pad_proportion=0.1657, over 24.00 utterances.], tot_loss[loss=0.3984, simple_loss=0.4246, pruned_loss=0.1861, over 2785484.97 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06846, over 44155.16 utterances.], batch size: 24, lr: 1.32e-03
+2022-09-17 04:50:43,271 INFO [train.py:885] (1/2) Epoch 2, batch 12600, loss[loss=0.2154, simple_loss=0.2787, pruned_loss=0.07605, over 12176.00 frames. utt_duration=2031 frames, utt_pad_proportion=0.167, over 24.00 utterances.], tot_loss[loss=0.4047, simple_loss=0.4305, pruned_loss=0.1895, over 2784187.03 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07007, over 46322.70 utterances.], batch size: 24, lr: 1.31e-03
+2022-09-17 04:51:02,190 INFO [train.py:885] (1/2) Epoch 3, batch 0, loss[loss=0.2429, simple_loss=0.2909, pruned_loss=0.09744, over 13199.00 frames. utt_duration=1601 frames, utt_pad_proportion=0.1085, over 33.00 utterances.], tot_loss[loss=0.2429, simple_loss=0.2909, pruned_loss=0.09744, over 13199.00 frames. utt_duration=1601 frames, utt_pad_proportion=0.1085, over 33.00 utterances.], batch size: 33, lr: 1.29e-03
+2022-09-17 04:51:31,248 INFO [train.py:885] (1/2) Epoch 3, batch 50, loss[loss=0.5121, simple_loss=0.5018, pruned_loss=0.2611, over 14339.00 frames. utt_duration=204 frames, utt_pad_proportion=0.0376, over 283.00 utterances.], tot_loss[loss=0.383, simple_loss=0.4106, pruned_loss=0.1777, over 628629.94 frames. utt_duration=300.3 frames, utt_pad_proportion=0.06703, over 8413.64 utterances.], batch size: 283, lr: 1.29e-03
+2022-09-17 04:52:01,735 INFO [train.py:885] (1/2) Epoch 3, batch 100, loss[loss=0.4101, simple_loss=0.4525, pruned_loss=0.1839, over 14280.00 frames. utt_duration=203.2 frames, utt_pad_proportion=0.04142, over 283.00 utterances.], tot_loss[loss=0.4128, simple_loss=0.4363, pruned_loss=0.1947, over 1102873.27 frames. utt_duration=227.4 frames, utt_pad_proportion=0.07604, over 19525.55 utterances.], batch size: 283, lr: 1.29e-03
+2022-09-17 04:52:31,183 INFO [train.py:885] (1/2) Epoch 3, batch 150, loss[loss=0.4322, simple_loss=0.4635, pruned_loss=0.2005, over 14318.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03852, over 283.00 utterances.], tot_loss[loss=0.4111, simple_loss=0.4372, pruned_loss=0.1925, over 1473264.74 frames. utt_duration=222.7 frames, utt_pad_proportion=0.07675, over 26644.03 utterances.], batch size: 283, lr: 1.28e-03
+2022-09-17 04:52:59,549 INFO [train.py:885] (1/2) Epoch 3, batch 200, loss[loss=0.2487, simple_loss=0.3028, pruned_loss=0.09731, over 13891.00 frames. utt_duration=806.4 frames, utt_pad_proportion=0.06012, over 69.00 utterances.], tot_loss[loss=0.4042, simple_loss=0.431, pruned_loss=0.1887, over 1762346.42 frames. utt_duration=235 frames, utt_pad_proportion=0.0733, over 30190.57 utterances.], batch size: 69, lr: 1.28e-03
+2022-09-17 04:53:29,924 INFO [train.py:885] (1/2) Epoch 3, batch 250, loss[loss=0.5166, simple_loss=0.508, pruned_loss=0.2626, over 14211.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04402, over 306.00 utterances.], tot_loss[loss=0.406, simple_loss=0.4324, pruned_loss=0.1898, over 1986800.09 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07373, over 34240.99 utterances.], batch size: 306, lr: 1.28e-03
+2022-09-17 04:53:58,495 INFO [train.py:885] (1/2) Epoch 3, batch 300, loss[loss=0.4722, simple_loss=0.4494, pruned_loss=0.2475, over 14281.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.04329, over 120.00 utterances.], tot_loss[loss=0.4047, simple_loss=0.4304, pruned_loss=0.1895, over 2170540.73 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06957, over 35745.18 utterances.], batch size: 120, lr: 1.28e-03
+2022-09-17 04:54:28,726 INFO [train.py:885] (1/2) Epoch 3, batch 350, loss[loss=0.2855, simple_loss=0.3296, pruned_loss=0.1207, over 13973.00 frames. utt_duration=811.6 frames, utt_pad_proportion=0.05519, over 69.00 utterances.], tot_loss[loss=0.41, simple_loss=0.4356, pruned_loss=0.1922, over 2300803.90 frames. utt_duration=228.3 frames, utt_pad_proportion=0.07673, over 40578.76 utterances.], batch size: 69, lr: 1.28e-03
+2022-09-17 04:54:57,700 INFO [train.py:885] (1/2) Epoch 3, batch 400, loss[loss=0.3148, simple_loss=0.3433, pruned_loss=0.1432, over 13518.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08971, over 50.00 utterances.], tot_loss[loss=0.4098, simple_loss=0.4348, pruned_loss=0.1924, over 2408141.75 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07648, over 41869.33 utterances.], batch size: 50, lr: 1.28e-03
+2022-09-17 04:55:27,389 INFO [train.py:885] (1/2) Epoch 3, batch 450, loss[loss=0.3855, simple_loss=0.3961, pruned_loss=0.1875, over 14212.00 frames. utt_duration=640.3 frames, utt_pad_proportion=0.04581, over 89.00 utterances.], tot_loss[loss=0.4029, simple_loss=0.4296, pruned_loss=0.1881, over 2489146.38 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07536, over 42441.47 utterances.], batch size: 89, lr: 1.28e-03
+2022-09-17 04:55:57,451 INFO [train.py:885] (1/2) Epoch 3, batch 500, loss[loss=0.5693, simple_loss=0.5259, pruned_loss=0.3064, over 14284.00 frames. utt_duration=171.8 frames, utt_pad_proportion=0.04007, over 335.00 utterances.], tot_loss[loss=0.4085, simple_loss=0.4337, pruned_loss=0.1916, over 2551731.42 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07371, over 44424.93 utterances.], batch size: 335, lr: 1.28e-03
+2022-09-17 04:56:26,122 INFO [train.py:885] (1/2) Epoch 3, batch 550, loss[loss=0.5129, simple_loss=0.5099, pruned_loss=0.2579, over 14207.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04427, over 306.00 utterances.], tot_loss[loss=0.4067, simple_loss=0.4324, pruned_loss=0.1904, over 2604725.38 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07209, over 44355.44 utterances.], batch size: 306, lr: 1.27e-03
+2022-09-17 04:56:56,003 INFO [train.py:885] (1/2) Epoch 3, batch 600, loss[loss=0.4365, simple_loss=0.4619, pruned_loss=0.2056, over 14327.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03867, over 262.00 utterances.], tot_loss[loss=0.4043, simple_loss=0.4309, pruned_loss=0.1889, over 2644202.44 frames. utt_duration=236.6 frames, utt_pad_proportion=0.0714, over 44980.24 utterances.], batch size: 262, lr: 1.27e-03
+2022-09-17 04:57:25,821 INFO [train.py:885] (1/2) Epoch 3, batch 650, loss[loss=0.3001, simple_loss=0.3383, pruned_loss=0.131, over 13553.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.09379, over 42.00 utterances.], tot_loss[loss=0.3996, simple_loss=0.4269, pruned_loss=0.1862, over 2673250.42 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07053, over 43966.44 utterances.], batch size: 42, lr: 1.27e-03
+2022-09-17 04:57:55,083 INFO [train.py:885] (1/2) Epoch 3, batch 700, loss[loss=0.7123, simple_loss=0.7077, pruned_loss=0.3584, over 12479.00 frames. utt_duration=63.12 frames, utt_pad_proportion=0.147, over 811.00 utterances.], tot_loss[loss=0.3998, simple_loss=0.4269, pruned_loss=0.1864, over 2700163.09 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07082, over 44515.88 utterances.], batch size: 811, lr: 1.27e-03
+2022-09-17 04:58:24,369 INFO [train.py:885] (1/2) Epoch 3, batch 750, loss[loss=0.3659, simple_loss=0.412, pruned_loss=0.1599, over 14278.00 frames. utt_duration=219.3 frames, utt_pad_proportion=0.04218, over 262.00 utterances.], tot_loss[loss=0.3971, simple_loss=0.4248, pruned_loss=0.1847, over 2721792.48 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06947, over 44294.87 utterances.], batch size: 262, lr: 1.27e-03
+2022-09-17 04:58:54,596 INFO [train.py:885] (1/2) Epoch 3, batch 800, loss[loss=0.2139, simple_loss=0.2679, pruned_loss=0.07995, over 12515.00 frames. utt_duration=2004 frames, utt_pad_proportion=0.1566, over 25.00 utterances.], tot_loss[loss=0.3982, simple_loss=0.4258, pruned_loss=0.1853, over 2736866.67 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06896, over 44731.97 utterances.], batch size: 25, lr: 1.27e-03
+2022-09-17 04:59:24,463 INFO [train.py:885] (1/2) Epoch 3, batch 850, loss[loss=0.2527, simple_loss=0.2992, pruned_loss=0.1032, over 13063.00 frames. utt_duration=2011 frames, utt_pad_proportion=0.1109, over 26.00 utterances.], tot_loss[loss=0.4009, simple_loss=0.4282, pruned_loss=0.1869, over 2741118.58 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07101, over 46122.88 utterances.], batch size: 26, lr: 1.27e-03
+2022-09-17 04:59:53,412 INFO [train.py:885] (1/2) Epoch 3, batch 900, loss[loss=0.3724, simple_loss=0.386, pruned_loss=0.1794, over 14012.00 frames. utt_duration=573.3 frames, utt_pad_proportion=0.05864, over 98.00 utterances.], tot_loss[loss=0.4003, simple_loss=0.4267, pruned_loss=0.187, over 2751129.39 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07033, over 45141.57 utterances.], batch size: 98, lr: 1.27e-03
+2022-09-17 05:00:23,299 INFO [train.py:885] (1/2) Epoch 3, batch 950, loss[loss=0.3354, simple_loss=0.3544, pruned_loss=0.1582, over 13838.00 frames. utt_duration=803.7 frames, utt_pad_proportion=0.06331, over 69.00 utterances.], tot_loss[loss=0.3957, simple_loss=0.4231, pruned_loss=0.1841, over 2752563.89 frames. utt_duration=250.4 frames, utt_pad_proportion=0.0706, over 44234.34 utterances.], batch size: 69, lr: 1.27e-03
+2022-09-17 05:00:59,508 INFO [train.py:885] (1/2) Epoch 3, batch 1000, loss[loss=0.4632, simple_loss=0.4727, pruned_loss=0.2268, over 14368.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.0329, over 244.00 utterances.], tot_loss[loss=0.3964, simple_loss=0.4242, pruned_loss=0.1843, over 2760340.44 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07006, over 44229.66 utterances.], batch size: 244, lr: 1.26e-03
+2022-09-17 05:01:29,143 INFO [train.py:885] (1/2) Epoch 3, batch 1050, loss[loss=0.528, simple_loss=0.5103, pruned_loss=0.2729, over 14209.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04365, over 306.00 utterances.], tot_loss[loss=0.4013, simple_loss=0.4286, pruned_loss=0.187, over 2763032.62 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07308, over 45931.27 utterances.], batch size: 306, lr: 1.26e-03
+2022-09-17 05:01:58,814 INFO [train.py:885] (1/2) Epoch 3, batch 1100, loss[loss=0.2347, simple_loss=0.2785, pruned_loss=0.09547, over 13598.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.08829, over 42.00 utterances.], tot_loss[loss=0.3982, simple_loss=0.4276, pruned_loss=0.1844, over 2766227.09 frames. utt_duration=240 frames, utt_pad_proportion=0.07191, over 46390.71 utterances.], batch size: 42, lr: 1.26e-03
+2022-09-17 05:02:28,337 INFO [train.py:885] (1/2) Epoch 3, batch 1150, loss[loss=0.2237, simple_loss=0.2644, pruned_loss=0.09149, over 12514.00 frames. utt_duration=2087 frames, utt_pad_proportion=0.1478, over 24.00 utterances.], tot_loss[loss=0.3997, simple_loss=0.4278, pruned_loss=0.1858, over 2769627.66 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07166, over 45845.57 utterances.], batch size: 24, lr: 1.26e-03
+2022-09-17 05:02:58,398 INFO [train.py:885] (1/2) Epoch 3, batch 1200, loss[loss=0.4795, simple_loss=0.5179, pruned_loss=0.2206, over 13646.00 frames. utt_duration=98.81 frames, utt_pad_proportion=0.07652, over 560.00 utterances.], tot_loss[loss=0.3983, simple_loss=0.4274, pruned_loss=0.1846, over 2769259.74 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07227, over 46274.42 utterances.], batch size: 560, lr: 1.26e-03
+2022-09-17 05:03:27,020 INFO [train.py:885] (1/2) Epoch 3, batch 1250, loss[loss=0.4506, simple_loss=0.4701, pruned_loss=0.2156, over 14266.00 frames. utt_duration=219.3 frames, utt_pad_proportion=0.03837, over 262.00 utterances.], tot_loss[loss=0.3945, simple_loss=0.424, pruned_loss=0.1825, over 2771226.70 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07227, over 45167.48 utterances.], batch size: 262, lr: 1.26e-03
+2022-09-17 05:03:56,586 INFO [train.py:885] (1/2) Epoch 3, batch 1300, loss[loss=0.417, simple_loss=0.4405, pruned_loss=0.1967, over 14277.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.03996, over 180.00 utterances.], tot_loss[loss=0.3918, simple_loss=0.4214, pruned_loss=0.1811, over 2773230.47 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07093, over 44705.71 utterances.], batch size: 180, lr: 1.26e-03
+2022-09-17 05:04:25,966 INFO [train.py:885] (1/2) Epoch 3, batch 1350, loss[loss=0.2495, simple_loss=0.2993, pruned_loss=0.0998, over 13365.00 frames. utt_duration=1622 frames, utt_pad_proportion=0.1036, over 33.00 utterances.], tot_loss[loss=0.3945, simple_loss=0.4233, pruned_loss=0.1828, over 2775406.15 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06985, over 44816.02 utterances.], batch size: 33, lr: 1.26e-03
+2022-09-17 05:04:55,377 INFO [train.py:885] (1/2) Epoch 3, batch 1400, loss[loss=0.8024, simple_loss=0.7654, pruned_loss=0.4198, over 12415.00 frames. utt_duration=62.84 frames, utt_pad_proportion=0.1508, over 811.00 utterances.], tot_loss[loss=0.3968, simple_loss=0.425, pruned_loss=0.1843, over 2778190.70 frames. utt_duration=246 frames, utt_pad_proportion=0.07032, over 45443.60 utterances.], batch size: 811, lr: 1.25e-03
+2022-09-17 05:05:24,267 INFO [train.py:885] (1/2) Epoch 3, batch 1450, loss[loss=0.2983, simple_loss=0.3334, pruned_loss=0.1316, over 13969.00 frames. utt_duration=708.7 frames, utt_pad_proportion=0.06257, over 79.00 utterances.], tot_loss[loss=0.3943, simple_loss=0.4224, pruned_loss=0.1831, over 2779880.96 frames. utt_duration=252.3 frames, utt_pad_proportion=0.0682, over 44326.87 utterances.], batch size: 79, lr: 1.25e-03
+2022-09-17 05:05:54,030 INFO [train.py:885] (1/2) Epoch 3, batch 1500, loss[loss=0.3398, simple_loss=0.3792, pruned_loss=0.1503, over 14153.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.04601, over 109.00 utterances.], tot_loss[loss=0.3992, simple_loss=0.4262, pruned_loss=0.1861, over 2782450.43 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06917, over 45122.12 utterances.], batch size: 109, lr: 1.25e-03
+2022-09-17 05:06:23,388 INFO [train.py:885] (1/2) Epoch 3, batch 1550, loss[loss=0.3424, simple_loss=0.3747, pruned_loss=0.1551, over 14226.00 frames. utt_duration=523.5 frames, utt_pad_proportion=0.04113, over 109.00 utterances.], tot_loss[loss=0.4014, simple_loss=0.429, pruned_loss=0.1869, over 2787459.08 frames. utt_duration=242.1 frames, utt_pad_proportion=0.06793, over 46340.83 utterances.], batch size: 109, lr: 1.25e-03
+2022-09-17 05:06:53,189 INFO [train.py:885] (1/2) Epoch 3, batch 1600, loss[loss=0.3379, simple_loss=0.3892, pruned_loss=0.1433, over 14303.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.03634, over 154.00 utterances.], tot_loss[loss=0.398, simple_loss=0.4269, pruned_loss=0.1845, over 2786673.61 frames. utt_duration=243.5 frames, utt_pad_proportion=0.06983, over 46052.43 utterances.], batch size: 154, lr: 1.25e-03
+2022-09-17 05:07:22,971 INFO [train.py:885] (1/2) Epoch 3, batch 1650, loss[loss=0.2393, simple_loss=0.2898, pruned_loss=0.09442, over 13421.00 frames. utt_duration=1075 frames, utt_pad_proportion=0.09649, over 50.00 utterances.], tot_loss[loss=0.3945, simple_loss=0.4233, pruned_loss=0.1829, over 2787377.87 frames. utt_duration=251 frames, utt_pad_proportion=0.06712, over 44688.99 utterances.], batch size: 50, lr: 1.25e-03
+2022-09-17 05:07:52,563 INFO [train.py:885] (1/2) Epoch 3, batch 1700, loss[loss=0.2611, simple_loss=0.311, pruned_loss=0.1055, over 14189.00 frames. utt_duration=639.2 frames, utt_pad_proportion=0.04739, over 89.00 utterances.], tot_loss[loss=0.3986, simple_loss=0.4263, pruned_loss=0.1855, over 2787725.54 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06825, over 45551.73 utterances.], batch size: 89, lr: 1.25e-03
+2022-09-17 05:08:22,370 INFO [train.py:885] (1/2) Epoch 3, batch 1750, loss[loss=0.3811, simple_loss=0.4176, pruned_loss=0.1723, over 14334.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03976, over 167.00 utterances.], tot_loss[loss=0.3978, simple_loss=0.4263, pruned_loss=0.1847, over 2786233.57 frames. utt_duration=241.9 frames, utt_pad_proportion=0.06915, over 46358.40 utterances.], batch size: 167, lr: 1.25e-03
+2022-09-17 05:08:58,629 INFO [train.py:885] (1/2) Epoch 3, batch 1800, loss[loss=0.2273, simple_loss=0.2538, pruned_loss=0.1004, over 13512.00 frames. utt_duration=1639 frames, utt_pad_proportion=0.09282, over 33.00 utterances.], tot_loss[loss=0.3926, simple_loss=0.4216, pruned_loss=0.1819, over 2786133.92 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06879, over 45252.90 utterances.], batch size: 33, lr: 1.25e-03
+2022-09-17 05:09:27,725 INFO [train.py:885] (1/2) Epoch 3, batch 1850, loss[loss=0.4019, simple_loss=0.4359, pruned_loss=0.1839, over 14206.00 frames. utt_duration=254.2 frames, utt_pad_proportion=0.04424, over 225.00 utterances.], tot_loss[loss=0.3967, simple_loss=0.4241, pruned_loss=0.1846, over 2785042.79 frames. utt_duration=244.5 frames, utt_pad_proportion=0.06884, over 45834.95 utterances.], batch size: 225, lr: 1.24e-03
+2022-09-17 05:09:57,369 INFO [train.py:885] (1/2) Epoch 3, batch 1900, loss[loss=0.4372, simple_loss=0.4602, pruned_loss=0.2071, over 14334.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03885, over 262.00 utterances.], tot_loss[loss=0.3964, simple_loss=0.4244, pruned_loss=0.1843, over 2783569.17 frames. utt_duration=241.5 frames, utt_pad_proportion=0.06855, over 46388.11 utterances.], batch size: 262, lr: 1.24e-03
+2022-09-17 05:10:36,411 INFO [train.py:885] (1/2) Epoch 3, batch 1950, loss[loss=0.295, simple_loss=0.3448, pruned_loss=0.1226, over 14271.00 frames. utt_duration=642.9 frames, utt_pad_proportion=0.04185, over 89.00 utterances.], tot_loss[loss=0.3971, simple_loss=0.4247, pruned_loss=0.1848, over 2782932.66 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06934, over 46053.15 utterances.], batch size: 89, lr: 1.24e-03
+2022-09-17 05:11:05,282 INFO [train.py:885] (1/2) Epoch 3, batch 2000, loss[loss=0.4517, simple_loss=0.4479, pruned_loss=0.2278, over 14316.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03919, over 120.00 utterances.], tot_loss[loss=0.3994, simple_loss=0.4267, pruned_loss=0.186, over 2790554.19 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06634, over 45375.54 utterances.], batch size: 120, lr: 1.24e-03
+2022-09-17 05:11:35,154 INFO [train.py:885] (1/2) Epoch 3, batch 2050, loss[loss=0.8199, simple_loss=0.7732, pruned_loss=0.4333, over 12432.00 frames. utt_duration=62.98 frames, utt_pad_proportion=0.1489, over 810.00 utterances.], tot_loss[loss=0.4011, simple_loss=0.4281, pruned_loss=0.1871, over 2789988.42 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06899, over 45683.99 utterances.], batch size: 810, lr: 1.24e-03
+2022-09-17 05:12:04,128 INFO [train.py:885] (1/2) Epoch 3, batch 2100, loss[loss=0.5232, simple_loss=0.5645, pruned_loss=0.2409, over 13126.00 frames. utt_duration=81.96 frames, utt_pad_proportion=0.1092, over 653.00 utterances.], tot_loss[loss=0.3974, simple_loss=0.4259, pruned_loss=0.1845, over 2790280.15 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06991, over 45238.94 utterances.], batch size: 653, lr: 1.24e-03
+2022-09-17 05:12:33,368 INFO [train.py:885] (1/2) Epoch 3, batch 2150, loss[loss=0.3546, simple_loss=0.4017, pruned_loss=0.1538, over 14348.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.0369, over 120.00 utterances.], tot_loss[loss=0.3956, simple_loss=0.4239, pruned_loss=0.1836, over 2788991.23 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06977, over 44405.30 utterances.], batch size: 120, lr: 1.24e-03
+2022-09-17 05:13:03,102 INFO [train.py:885] (1/2) Epoch 3, batch 2200, loss[loss=0.2592, simple_loss=0.3008, pruned_loss=0.1088, over 13270.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.09292, over 41.00 utterances.], tot_loss[loss=0.3979, simple_loss=0.4261, pruned_loss=0.1848, over 2787348.69 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07103, over 45317.82 utterances.], batch size: 41, lr: 1.24e-03
+2022-09-17 05:13:32,699 INFO [train.py:885] (1/2) Epoch 3, batch 2250, loss[loss=0.4982, simple_loss=0.5042, pruned_loss=0.2461, over 14247.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.0419, over 306.00 utterances.], tot_loss[loss=0.4001, simple_loss=0.4271, pruned_loss=0.1865, over 2785351.34 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07039, over 45141.78 utterances.], batch size: 306, lr: 1.24e-03
+2022-09-17 05:14:02,701 INFO [train.py:885] (1/2) Epoch 3, batch 2300, loss[loss=0.416, simple_loss=0.4093, pruned_loss=0.2114, over 14080.00 frames. utt_duration=576.2 frames, utt_pad_proportion=0.05382, over 98.00 utterances.], tot_loss[loss=0.3996, simple_loss=0.4272, pruned_loss=0.186, over 2783961.29 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07051, over 45431.88 utterances.], batch size: 98, lr: 1.23e-03
+2022-09-17 05:14:32,392 INFO [train.py:885] (1/2) Epoch 3, batch 2350, loss[loss=0.3635, simple_loss=0.3904, pruned_loss=0.1683, over 14252.00 frames. utt_duration=524.2 frames, utt_pad_proportion=0.03997, over 109.00 utterances.], tot_loss[loss=0.3988, simple_loss=0.4255, pruned_loss=0.186, over 2786028.81 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06816, over 44161.08 utterances.], batch size: 109, lr: 1.23e-03
+2022-09-17 05:15:01,658 INFO [train.py:885] (1/2) Epoch 3, batch 2400, loss[loss=0.5163, simple_loss=0.5454, pruned_loss=0.2436, over 13767.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07168, over 411.00 utterances.], tot_loss[loss=0.3989, simple_loss=0.4254, pruned_loss=0.1862, over 2782727.68 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06938, over 44442.99 utterances.], batch size: 411, lr: 1.23e-03
+2022-09-17 05:15:30,569 INFO [train.py:885] (1/2) Epoch 3, batch 2450, loss[loss=0.353, simple_loss=0.3833, pruned_loss=0.1613, over 14039.00 frames. utt_duration=574.4 frames, utt_pad_proportion=0.05525, over 98.00 utterances.], tot_loss[loss=0.4009, simple_loss=0.4274, pruned_loss=0.1872, over 2779948.94 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07124, over 45402.45 utterances.], batch size: 98, lr: 1.23e-03
+2022-09-17 05:16:00,353 INFO [train.py:885] (1/2) Epoch 3, batch 2500, loss[loss=0.3764, simple_loss=0.4092, pruned_loss=0.1717, over 14201.00 frames. utt_duration=522.6 frames, utt_pad_proportion=0.0428, over 109.00 utterances.], tot_loss[loss=0.4011, simple_loss=0.428, pruned_loss=0.187, over 2776124.77 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07385, over 46276.60 utterances.], batch size: 109, lr: 1.23e-03
+2022-09-17 05:16:29,647 INFO [train.py:885] (1/2) Epoch 3, batch 2550, loss[loss=0.4655, simple_loss=0.4774, pruned_loss=0.2268, over 14251.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04123, over 306.00 utterances.], tot_loss[loss=0.3974, simple_loss=0.4249, pruned_loss=0.185, over 2777276.24 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07404, over 45918.82 utterances.], batch size: 306, lr: 1.23e-03
+2022-09-17 05:16:59,024 INFO [train.py:885] (1/2) Epoch 3, batch 2600, loss[loss=0.5218, simple_loss=0.5671, pruned_loss=0.2382, over 13184.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1062, over 653.00 utterances.], tot_loss[loss=0.394, simple_loss=0.4228, pruned_loss=0.1826, over 2775260.71 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07383, over 46281.38 utterances.], batch size: 653, lr: 1.23e-03
+2022-09-17 05:17:29,174 INFO [train.py:885] (1/2) Epoch 3, batch 2650, loss[loss=0.5291, simple_loss=0.5492, pruned_loss=0.2545, over 13578.00 frames. utt_duration=98.42 frames, utt_pad_proportion=0.08017, over 560.00 utterances.], tot_loss[loss=0.3979, simple_loss=0.4258, pruned_loss=0.185, over 2774907.71 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07356, over 47110.63 utterances.], batch size: 560, lr: 1.23e-03
+2022-09-17 05:17:58,305 INFO [train.py:885] (1/2) Epoch 3, batch 2700, loss[loss=0.4526, simple_loss=0.4841, pruned_loss=0.2105, over 13997.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05603, over 365.00 utterances.], tot_loss[loss=0.3919, simple_loss=0.4207, pruned_loss=0.1815, over 2777997.07 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07192, over 44955.48 utterances.], batch size: 365, lr: 1.23e-03
+2022-09-17 05:18:28,115 INFO [train.py:885] (1/2) Epoch 3, batch 2750, loss[loss=0.5172, simple_loss=0.5031, pruned_loss=0.2657, over 14247.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04182, over 335.00 utterances.], tot_loss[loss=0.3905, simple_loss=0.4196, pruned_loss=0.1807, over 2773101.09 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07221, over 45118.13 utterances.], batch size: 335, lr: 1.23e-03
+2022-09-17 05:18:57,816 INFO [train.py:885] (1/2) Epoch 3, batch 2800, loss[loss=0.3772, simple_loss=0.4466, pruned_loss=0.1539, over 13710.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07559, over 411.00 utterances.], tot_loss[loss=0.3907, simple_loss=0.4202, pruned_loss=0.1806, over 2774527.58 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07087, over 45001.27 utterances.], batch size: 411, lr: 1.22e-03
+2022-09-17 05:19:27,191 INFO [train.py:885] (1/2) Epoch 3, batch 2850, loss[loss=0.4576, simple_loss=0.4654, pruned_loss=0.2249, over 14306.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03977, over 283.00 utterances.], tot_loss[loss=0.3918, simple_loss=0.4212, pruned_loss=0.1812, over 2777537.21 frames. utt_duration=248 frames, utt_pad_proportion=0.07095, over 45075.04 utterances.], batch size: 283, lr: 1.22e-03
+2022-09-17 05:19:56,737 INFO [train.py:885] (1/2) Epoch 3, batch 2900, loss[loss=0.3606, simple_loss=0.3887, pruned_loss=0.1662, over 14199.00 frames. utt_duration=522.6 frames, utt_pad_proportion=0.04278, over 109.00 utterances.], tot_loss[loss=0.3913, simple_loss=0.4211, pruned_loss=0.1807, over 2781733.91 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06869, over 44615.71 utterances.], batch size: 109, lr: 1.22e-03
+2022-09-17 05:20:26,385 INFO [train.py:885] (1/2) Epoch 3, batch 2950, loss[loss=0.3841, simple_loss=0.4113, pruned_loss=0.1785, over 14313.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03922, over 120.00 utterances.], tot_loss[loss=0.3909, simple_loss=0.4198, pruned_loss=0.1809, over 2780508.19 frames. utt_duration=257 frames, utt_pad_proportion=0.06953, over 43532.68 utterances.], batch size: 120, lr: 1.22e-03
+2022-09-17 05:20:56,167 INFO [train.py:885] (1/2) Epoch 3, batch 3000, loss[loss=0.2117, simple_loss=0.2734, pruned_loss=0.07499, over 13405.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08436, over 41.00 utterances.], tot_loss[loss=0.3909, simple_loss=0.4208, pruned_loss=0.1805, over 2777829.86 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07158, over 44860.91 utterances.], batch size: 41, lr: 1.22e-03
+2022-09-17 05:20:56,167 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 05:21:00,309 INFO [train.py:914] (1/2) Epoch 3, validation: loss=0.2615, simple_loss=0.3217, pruned_loss=0.1006, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 05:21:29,831 INFO [train.py:885] (1/2) Epoch 3, batch 3050, loss[loss=0.4336, simple_loss=0.4559, pruned_loss=0.2056, over 14252.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.04202, over 180.00 utterances.], tot_loss[loss=0.3904, simple_loss=0.4204, pruned_loss=0.1802, over 2775757.24 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07274, over 45055.97 utterances.], batch size: 180, lr: 1.22e-03
+2022-09-17 05:21:59,833 INFO [train.py:885] (1/2) Epoch 3, batch 3100, loss[loss=0.2297, simple_loss=0.2657, pruned_loss=0.09687, over 13561.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08228, over 50.00 utterances.], tot_loss[loss=0.3903, simple_loss=0.4198, pruned_loss=0.1804, over 2779256.88 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07029, over 44347.56 utterances.], batch size: 50, lr: 1.22e-03
+2022-09-17 05:22:28,936 INFO [train.py:885] (1/2) Epoch 3, batch 3150, loss[loss=0.2721, simple_loss=0.323, pruned_loss=0.1106, over 14186.00 frames. utt_duration=638.9 frames, utt_pad_proportion=0.04921, over 89.00 utterances.], tot_loss[loss=0.3926, simple_loss=0.4212, pruned_loss=0.182, over 2782832.02 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07022, over 44349.25 utterances.], batch size: 89, lr: 1.22e-03
+2022-09-17 05:22:58,886 INFO [train.py:885] (1/2) Epoch 3, batch 3200, loss[loss=0.3663, simple_loss=0.4006, pruned_loss=0.166, over 14303.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03978, over 120.00 utterances.], tot_loss[loss=0.3974, simple_loss=0.4248, pruned_loss=0.185, over 2777007.29 frames. utt_duration=241.1 frames, utt_pad_proportion=0.0736, over 46355.38 utterances.], batch size: 120, lr: 1.22e-03
+2022-09-17 05:23:28,012 INFO [train.py:885] (1/2) Epoch 3, batch 3250, loss[loss=0.4658, simple_loss=0.5153, pruned_loss=0.2081, over 13656.00 frames. utt_duration=98.95 frames, utt_pad_proportion=0.0752, over 560.00 utterances.], tot_loss[loss=0.3949, simple_loss=0.4232, pruned_loss=0.1833, over 2780787.88 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07095, over 45918.78 utterances.], batch size: 560, lr: 1.21e-03
+2022-09-17 05:23:57,540 INFO [train.py:885] (1/2) Epoch 3, batch 3300, loss[loss=0.3724, simple_loss=0.4145, pruned_loss=0.1652, over 14394.00 frames. utt_duration=296.8 frames, utt_pad_proportion=0.03327, over 195.00 utterances.], tot_loss[loss=0.3946, simple_loss=0.4234, pruned_loss=0.1829, over 2780330.86 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07061, over 46364.80 utterances.], batch size: 195, lr: 1.21e-03
+2022-09-17 05:24:27,428 INFO [train.py:885] (1/2) Epoch 3, batch 3350, loss[loss=0.5308, simple_loss=0.5136, pruned_loss=0.274, over 14183.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04567, over 306.00 utterances.], tot_loss[loss=0.3979, simple_loss=0.4267, pruned_loss=0.1846, over 2777939.95 frames. utt_duration=236 frames, utt_pad_proportion=0.07347, over 47375.64 utterances.], batch size: 306, lr: 1.21e-03
+2022-09-17 05:24:56,660 INFO [train.py:885] (1/2) Epoch 3, batch 3400, loss[loss=0.3281, simple_loss=0.3814, pruned_loss=0.1374, over 14251.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04557, over 141.00 utterances.], tot_loss[loss=0.3983, simple_loss=0.4268, pruned_loss=0.1849, over 2775771.68 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07453, over 47325.91 utterances.], batch size: 141, lr: 1.21e-03
+2022-09-17 05:25:26,217 INFO [train.py:885] (1/2) Epoch 3, batch 3450, loss[loss=0.4259, simple_loss=0.4743, pruned_loss=0.1888, over 13652.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08006, over 477.00 utterances.], tot_loss[loss=0.4005, simple_loss=0.4286, pruned_loss=0.1862, over 2772785.11 frames. utt_duration=230.2 frames, utt_pad_proportion=0.07488, over 48491.21 utterances.], batch size: 477, lr: 1.21e-03
+2022-09-17 05:25:56,197 INFO [train.py:885] (1/2) Epoch 3, batch 3500, loss[loss=0.4963, simple_loss=0.5321, pruned_loss=0.2303, over 13616.00 frames. utt_duration=98.65 frames, utt_pad_proportion=0.07802, over 560.00 utterances.], tot_loss[loss=0.3954, simple_loss=0.4246, pruned_loss=0.1831, over 2773993.35 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07488, over 47485.06 utterances.], batch size: 560, lr: 1.21e-03
+2022-09-17 05:26:25,616 INFO [train.py:885] (1/2) Epoch 3, batch 3550, loss[loss=0.3868, simple_loss=0.4084, pruned_loss=0.1827, over 14310.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.03787, over 154.00 utterances.], tot_loss[loss=0.39, simple_loss=0.4199, pruned_loss=0.1801, over 2776318.83 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07365, over 45694.11 utterances.], batch size: 154, lr: 1.21e-03
+2022-09-17 05:26:55,136 INFO [train.py:885] (1/2) Epoch 3, batch 3600, loss[loss=0.3674, simple_loss=0.3916, pruned_loss=0.1716, over 14266.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.04064, over 130.00 utterances.], tot_loss[loss=0.391, simple_loss=0.4207, pruned_loss=0.1807, over 2777417.19 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07373, over 46123.25 utterances.], batch size: 130, lr: 1.21e-03
+2022-09-17 05:27:24,551 INFO [train.py:885] (1/2) Epoch 3, batch 3650, loss[loss=0.3895, simple_loss=0.4182, pruned_loss=0.1803, over 14337.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03938, over 167.00 utterances.], tot_loss[loss=0.388, simple_loss=0.4182, pruned_loss=0.1789, over 2778243.02 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07109, over 44818.50 utterances.], batch size: 167, lr: 1.21e-03
+2022-09-17 05:27:54,000 INFO [train.py:885] (1/2) Epoch 3, batch 3700, loss[loss=0.3136, simple_loss=0.366, pruned_loss=0.1306, over 14181.00 frames. utt_duration=638.7 frames, utt_pad_proportion=0.04811, over 89.00 utterances.], tot_loss[loss=0.389, simple_loss=0.4195, pruned_loss=0.1792, over 2778468.92 frames. utt_duration=246.6 frames, utt_pad_proportion=0.0714, over 45337.07 utterances.], batch size: 89, lr: 1.21e-03
+2022-09-17 05:28:24,147 INFO [train.py:885] (1/2) Epoch 3, batch 3750, loss[loss=0.3421, simple_loss=0.3729, pruned_loss=0.1557, over 14046.00 frames. utt_duration=574.6 frames, utt_pad_proportion=0.05642, over 98.00 utterances.], tot_loss[loss=0.3902, simple_loss=0.4202, pruned_loss=0.18, over 2778546.02 frames. utt_duration=246.5 frames, utt_pad_proportion=0.0718, over 45357.95 utterances.], batch size: 98, lr: 1.20e-03
+2022-09-17 05:28:53,329 INFO [train.py:885] (1/2) Epoch 3, batch 3800, loss[loss=0.4126, simple_loss=0.4441, pruned_loss=0.1906, over 14349.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03657, over 195.00 utterances.], tot_loss[loss=0.3879, simple_loss=0.4185, pruned_loss=0.1786, over 2780648.40 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07037, over 45196.61 utterances.], batch size: 195, lr: 1.20e-03
+2022-09-17 05:29:22,915 INFO [train.py:885] (1/2) Epoch 3, batch 3850, loss[loss=0.3305, simple_loss=0.3813, pruned_loss=0.1399, over 14355.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03871, over 167.00 utterances.], tot_loss[loss=0.3923, simple_loss=0.4225, pruned_loss=0.181, over 2780083.65 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07154, over 46476.17 utterances.], batch size: 167, lr: 1.20e-03
+2022-09-17 05:29:52,676 INFO [train.py:885] (1/2) Epoch 3, batch 3900, loss[loss=0.2247, simple_loss=0.2763, pruned_loss=0.08654, over 12927.00 frames. utt_duration=1568 frames, utt_pad_proportion=0.1297, over 33.00 utterances.], tot_loss[loss=0.3951, simple_loss=0.425, pruned_loss=0.1826, over 2777009.65 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07364, over 47513.38 utterances.], batch size: 33, lr: 1.20e-03
+2022-09-17 05:30:21,761 INFO [train.py:885] (1/2) Epoch 3, batch 3950, loss[loss=0.3234, simple_loss=0.3668, pruned_loss=0.1401, over 14252.00 frames. utt_duration=519.8 frames, utt_pad_proportion=0.04627, over 110.00 utterances.], tot_loss[loss=0.3913, simple_loss=0.422, pruned_loss=0.1803, over 2778524.36 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07333, over 46342.92 utterances.], batch size: 110, lr: 1.20e-03
+2022-09-17 05:30:51,079 INFO [train.py:885] (1/2) Epoch 3, batch 4000, loss[loss=0.3097, simple_loss=0.3645, pruned_loss=0.1275, over 14204.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.04265, over 109.00 utterances.], tot_loss[loss=0.3872, simple_loss=0.4177, pruned_loss=0.1783, over 2781705.63 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07005, over 44745.70 utterances.], batch size: 109, lr: 1.20e-03
+2022-09-17 05:31:20,270 INFO [train.py:885] (1/2) Epoch 3, batch 4050, loss[loss=0.6835, simple_loss=0.6951, pruned_loss=0.336, over 12502.00 frames. utt_duration=63.33 frames, utt_pad_proportion=0.1442, over 810.00 utterances.], tot_loss[loss=0.3934, simple_loss=0.4231, pruned_loss=0.1818, over 2782706.21 frames. utt_duration=244 frames, utt_pad_proportion=0.07143, over 45903.48 utterances.], batch size: 810, lr: 1.20e-03
+2022-09-17 05:31:49,971 INFO [train.py:885] (1/2) Epoch 3, batch 4100, loss[loss=0.3522, simple_loss=0.3927, pruned_loss=0.1559, over 14301.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.03986, over 120.00 utterances.], tot_loss[loss=0.3919, simple_loss=0.4213, pruned_loss=0.1813, over 2784149.06 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07129, over 44694.29 utterances.], batch size: 120, lr: 1.20e-03
+2022-09-17 05:32:19,149 INFO [train.py:885] (1/2) Epoch 3, batch 4150, loss[loss=0.5057, simple_loss=0.5072, pruned_loss=0.2521, over 14242.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04226, over 335.00 utterances.], tot_loss[loss=0.3949, simple_loss=0.4244, pruned_loss=0.1827, over 2785724.78 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07035, over 46251.53 utterances.], batch size: 335, lr: 1.20e-03
+2022-09-17 05:32:48,234 INFO [train.py:885] (1/2) Epoch 3, batch 4200, loss[loss=0.4381, simple_loss=0.4599, pruned_loss=0.2082, over 14334.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03478, over 244.00 utterances.], tot_loss[loss=0.3899, simple_loss=0.4204, pruned_loss=0.1797, over 2784024.90 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07104, over 45599.17 utterances.], batch size: 244, lr: 1.20e-03
+2022-09-17 05:33:17,287 INFO [train.py:885] (1/2) Epoch 3, batch 4250, loss[loss=0.3706, simple_loss=0.4193, pruned_loss=0.1609, over 14308.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03949, over 283.00 utterances.], tot_loss[loss=0.3898, simple_loss=0.4208, pruned_loss=0.1794, over 2784256.27 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07124, over 46246.12 utterances.], batch size: 283, lr: 1.19e-03
+2022-09-17 05:33:56,597 INFO [train.py:885] (1/2) Epoch 3, batch 4300, loss[loss=0.4031, simple_loss=0.4264, pruned_loss=0.1899, over 14330.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03912, over 244.00 utterances.], tot_loss[loss=0.3913, simple_loss=0.422, pruned_loss=0.1802, over 2780377.67 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07347, over 47064.51 utterances.], batch size: 244, lr: 1.19e-03
+2022-09-17 05:34:25,936 INFO [train.py:885] (1/2) Epoch 3, batch 4350, loss[loss=0.4769, simple_loss=0.5103, pruned_loss=0.2218, over 13695.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07735, over 477.00 utterances.], tot_loss[loss=0.3891, simple_loss=0.4195, pruned_loss=0.1793, over 2779669.11 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07267, over 45898.30 utterances.], batch size: 477, lr: 1.19e-03
+2022-09-17 05:34:55,375 INFO [train.py:885] (1/2) Epoch 3, batch 4400, loss[loss=0.425, simple_loss=0.4631, pruned_loss=0.1934, over 14394.00 frames. utt_duration=275.5 frames, utt_pad_proportion=0.03345, over 210.00 utterances.], tot_loss[loss=0.3896, simple_loss=0.4203, pruned_loss=0.1795, over 2777988.08 frames. utt_duration=243.8 frames, utt_pad_proportion=0.0724, over 45852.22 utterances.], batch size: 210, lr: 1.19e-03
+2022-09-17 05:35:25,753 INFO [train.py:885] (1/2) Epoch 3, batch 4450, loss[loss=0.2555, simple_loss=0.2973, pruned_loss=0.1069, over 13359.00 frames. utt_duration=1070 frames, utt_pad_proportion=0.1005, over 50.00 utterances.], tot_loss[loss=0.3881, simple_loss=0.419, pruned_loss=0.1785, over 2777357.55 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07297, over 45675.54 utterances.], batch size: 50, lr: 1.19e-03
+2022-09-17 05:35:54,172 INFO [train.py:885] (1/2) Epoch 3, batch 4500, loss[loss=0.2158, simple_loss=0.267, pruned_loss=0.08227, over 13144.00 frames. utt_duration=1284 frames, utt_pad_proportion=0.1035, over 41.00 utterances.], tot_loss[loss=0.3829, simple_loss=0.4153, pruned_loss=0.1753, over 2780610.94 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07207, over 44602.51 utterances.], batch size: 41, lr: 1.19e-03
+2022-09-17 05:36:24,620 INFO [train.py:885] (1/2) Epoch 3, batch 4550, loss[loss=0.1893, simple_loss=0.2243, pruned_loss=0.07716, over 12414.00 frames. utt_duration=2070 frames, utt_pad_proportion=0.1521, over 24.00 utterances.], tot_loss[loss=0.3867, simple_loss=0.4173, pruned_loss=0.1781, over 2783540.78 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07061, over 43962.27 utterances.], batch size: 24, lr: 1.19e-03
+2022-09-17 05:36:54,017 INFO [train.py:885] (1/2) Epoch 3, batch 4600, loss[loss=0.3567, simple_loss=0.3956, pruned_loss=0.1589, over 14245.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04569, over 141.00 utterances.], tot_loss[loss=0.3864, simple_loss=0.4174, pruned_loss=0.1777, over 2783653.86 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07084, over 44338.14 utterances.], batch size: 141, lr: 1.19e-03
+2022-09-17 05:37:23,945 INFO [train.py:885] (1/2) Epoch 3, batch 4650, loss[loss=0.2888, simple_loss=0.3248, pruned_loss=0.1265, over 14091.00 frames. utt_duration=807 frames, utt_pad_proportion=0.05507, over 70.00 utterances.], tot_loss[loss=0.3909, simple_loss=0.4215, pruned_loss=0.1802, over 2782564.83 frames. utt_duration=244 frames, utt_pad_proportion=0.07173, over 45902.68 utterances.], batch size: 70, lr: 1.19e-03
+2022-09-17 05:37:52,715 INFO [train.py:885] (1/2) Epoch 3, batch 4700, loss[loss=0.7658, simple_loss=0.7526, pruned_loss=0.3895, over 12499.00 frames. utt_duration=63.32 frames, utt_pad_proportion=0.1443, over 810.00 utterances.], tot_loss[loss=0.3956, simple_loss=0.4246, pruned_loss=0.1833, over 2786472.74 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07071, over 45976.01 utterances.], batch size: 810, lr: 1.19e-03
+2022-09-17 05:38:22,559 INFO [train.py:885] (1/2) Epoch 3, batch 4750, loss[loss=0.3832, simple_loss=0.4126, pruned_loss=0.1769, over 14276.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.0428, over 154.00 utterances.], tot_loss[loss=0.4018, simple_loss=0.4297, pruned_loss=0.1869, over 2783978.63 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07154, over 47507.04 utterances.], batch size: 154, lr: 1.18e-03
+2022-09-17 05:38:52,301 INFO [train.py:885] (1/2) Epoch 3, batch 4800, loss[loss=0.2598, simple_loss=0.2993, pruned_loss=0.1102, over 13555.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.09245, over 42.00 utterances.], tot_loss[loss=0.3977, simple_loss=0.4264, pruned_loss=0.1845, over 2782558.52 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07121, over 46678.17 utterances.], batch size: 42, lr: 1.18e-03
+2022-09-17 05:39:21,943 INFO [train.py:885] (1/2) Epoch 3, batch 4850, loss[loss=0.4363, simple_loss=0.4848, pruned_loss=0.1939, over 13784.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06966, over 411.00 utterances.], tot_loss[loss=0.3938, simple_loss=0.4233, pruned_loss=0.1821, over 2776393.21 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07197, over 46247.95 utterances.], batch size: 411, lr: 1.18e-03
+2022-09-17 05:39:51,680 INFO [train.py:885] (1/2) Epoch 3, batch 4900, loss[loss=0.4354, simple_loss=0.4975, pruned_loss=0.1866, over 13628.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08126, over 477.00 utterances.], tot_loss[loss=0.3901, simple_loss=0.4202, pruned_loss=0.18, over 2775790.94 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07141, over 45165.19 utterances.], batch size: 477, lr: 1.18e-03
+2022-09-17 05:40:21,250 INFO [train.py:885] (1/2) Epoch 3, batch 4950, loss[loss=0.3992, simple_loss=0.4268, pruned_loss=0.1858, over 14275.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04056, over 180.00 utterances.], tot_loss[loss=0.3936, simple_loss=0.4233, pruned_loss=0.1819, over 2769792.25 frames. utt_duration=238 frames, utt_pad_proportion=0.07476, over 46841.40 utterances.], batch size: 180, lr: 1.18e-03
+2022-09-17 05:40:50,444 INFO [train.py:885] (1/2) Epoch 3, batch 5000, loss[loss=0.3762, simple_loss=0.4, pruned_loss=0.1762, over 14161.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.04592, over 109.00 utterances.], tot_loss[loss=0.396, simple_loss=0.4262, pruned_loss=0.1829, over 2777290.94 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07332, over 47458.38 utterances.], batch size: 109, lr: 1.18e-03
+2022-09-17 05:41:20,195 INFO [train.py:885] (1/2) Epoch 3, batch 5050, loss[loss=0.2306, simple_loss=0.2779, pruned_loss=0.09166, over 13399.00 frames. utt_duration=1073 frames, utt_pad_proportion=0.09499, over 50.00 utterances.], tot_loss[loss=0.3949, simple_loss=0.4248, pruned_loss=0.1825, over 2777877.05 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07289, over 46676.63 utterances.], batch size: 50, lr: 1.18e-03
+2022-09-17 05:41:49,491 INFO [train.py:885] (1/2) Epoch 3, batch 5100, loss[loss=0.3273, simple_loss=0.351, pruned_loss=0.1518, over 13859.00 frames. utt_duration=804.8 frames, utt_pad_proportion=0.06206, over 69.00 utterances.], tot_loss[loss=0.3902, simple_loss=0.4201, pruned_loss=0.1801, over 2781042.22 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06973, over 45098.30 utterances.], batch size: 69, lr: 1.18e-03
+2022-09-17 05:42:18,625 INFO [train.py:885] (1/2) Epoch 3, batch 5150, loss[loss=0.3281, simple_loss=0.3524, pruned_loss=0.1519, over 13994.00 frames. utt_duration=572.8 frames, utt_pad_proportion=0.0595, over 98.00 utterances.], tot_loss[loss=0.3926, simple_loss=0.4221, pruned_loss=0.1815, over 2780401.58 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06928, over 45778.36 utterances.], batch size: 98, lr: 1.18e-03
+2022-09-17 05:42:48,224 INFO [train.py:885] (1/2) Epoch 3, batch 5200, loss[loss=0.3184, simple_loss=0.3575, pruned_loss=0.1396, over 14177.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04684, over 89.00 utterances.], tot_loss[loss=0.3863, simple_loss=0.4167, pruned_loss=0.178, over 2782557.83 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06857, over 44276.88 utterances.], batch size: 89, lr: 1.18e-03
+2022-09-17 05:43:18,972 INFO [train.py:885] (1/2) Epoch 3, batch 5250, loss[loss=0.3217, simple_loss=0.3494, pruned_loss=0.1471, over 14115.00 frames. utt_duration=716 frames, utt_pad_proportion=0.05286, over 79.00 utterances.], tot_loss[loss=0.3888, simple_loss=0.419, pruned_loss=0.1793, over 2772980.01 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07339, over 45978.43 utterances.], batch size: 79, lr: 1.18e-03
+2022-09-17 05:43:48,101 INFO [train.py:885] (1/2) Epoch 3, batch 5300, loss[loss=0.4047, simple_loss=0.4331, pruned_loss=0.1881, over 14377.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03705, over 167.00 utterances.], tot_loss[loss=0.3915, simple_loss=0.421, pruned_loss=0.181, over 2776713.71 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07332, over 46027.29 utterances.], batch size: 167, lr: 1.17e-03
+2022-09-17 05:44:17,379 INFO [train.py:885] (1/2) Epoch 3, batch 5350, loss[loss=0.3949, simple_loss=0.4316, pruned_loss=0.1791, over 14332.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03802, over 262.00 utterances.], tot_loss[loss=0.3874, simple_loss=0.4179, pruned_loss=0.1784, over 2779197.03 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07167, over 45566.35 utterances.], batch size: 262, lr: 1.17e-03
+2022-09-17 05:44:46,872 INFO [train.py:885] (1/2) Epoch 3, batch 5400, loss[loss=0.2366, simple_loss=0.2535, pruned_loss=0.1099, over 13070.00 frames. utt_duration=2093 frames, utt_pad_proportion=0.09481, over 25.00 utterances.], tot_loss[loss=0.3913, simple_loss=0.4221, pruned_loss=0.1803, over 2775910.52 frames. utt_duration=237 frames, utt_pad_proportion=0.07303, over 47137.63 utterances.], batch size: 25, lr: 1.17e-03
+2022-09-17 05:45:16,723 INFO [train.py:885] (1/2) Epoch 3, batch 5450, loss[loss=0.3482, simple_loss=0.3888, pruned_loss=0.1538, over 14318.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03877, over 120.00 utterances.], tot_loss[loss=0.3848, simple_loss=0.4166, pruned_loss=0.1765, over 2776238.13 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07204, over 45559.85 utterances.], batch size: 120, lr: 1.17e-03
+2022-09-17 05:45:46,546 INFO [train.py:885] (1/2) Epoch 3, batch 5500, loss[loss=0.4143, simple_loss=0.4388, pruned_loss=0.1949, over 14351.00 frames. utt_duration=296 frames, utt_pad_proportion=0.0359, over 195.00 utterances.], tot_loss[loss=0.3878, simple_loss=0.4194, pruned_loss=0.1781, over 2777357.43 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07319, over 46830.71 utterances.], batch size: 195, lr: 1.17e-03
+2022-09-17 05:46:15,457 INFO [train.py:885] (1/2) Epoch 3, batch 5550, loss[loss=0.3778, simple_loss=0.4153, pruned_loss=0.1701, over 14346.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.03824, over 154.00 utterances.], tot_loss[loss=0.3861, simple_loss=0.4175, pruned_loss=0.1773, over 2781379.22 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07164, over 44974.93 utterances.], batch size: 154, lr: 1.17e-03
+2022-09-17 05:46:44,926 INFO [train.py:885] (1/2) Epoch 3, batch 5600, loss[loss=0.32, simple_loss=0.3675, pruned_loss=0.1363, over 14320.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.04063, over 120.00 utterances.], tot_loss[loss=0.3864, simple_loss=0.417, pruned_loss=0.1779, over 2783471.61 frames. utt_duration=256.6 frames, utt_pad_proportion=0.07039, over 43639.93 utterances.], batch size: 120, lr: 1.17e-03
+2022-09-17 05:47:14,607 INFO [train.py:885] (1/2) Epoch 3, batch 5650, loss[loss=0.3194, simple_loss=0.368, pruned_loss=0.1354, over 14138.00 frames. utt_duration=637.1 frames, utt_pad_proportion=0.05055, over 89.00 utterances.], tot_loss[loss=0.3826, simple_loss=0.4136, pruned_loss=0.1758, over 2783582.35 frames. utt_duration=261.4 frames, utt_pad_proportion=0.06964, over 42841.85 utterances.], batch size: 89, lr: 1.17e-03
+2022-09-17 05:47:44,421 INFO [train.py:885] (1/2) Epoch 3, batch 5700, loss[loss=0.328, simple_loss=0.3589, pruned_loss=0.1486, over 14159.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.04564, over 109.00 utterances.], tot_loss[loss=0.3814, simple_loss=0.4122, pruned_loss=0.1753, over 2789351.17 frames. utt_duration=269.2 frames, utt_pad_proportion=0.06697, over 41675.67 utterances.], batch size: 109, lr: 1.17e-03
+2022-09-17 05:48:13,596 INFO [train.py:885] (1/2) Epoch 3, batch 5750, loss[loss=0.3828, simple_loss=0.4365, pruned_loss=0.1645, over 14036.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05631, over 366.00 utterances.], tot_loss[loss=0.3816, simple_loss=0.412, pruned_loss=0.1756, over 2787115.10 frames. utt_duration=271.4 frames, utt_pad_proportion=0.06683, over 41295.87 utterances.], batch size: 366, lr: 1.17e-03
+2022-09-17 05:48:43,373 INFO [train.py:885] (1/2) Epoch 3, batch 5800, loss[loss=0.4167, simple_loss=0.472, pruned_loss=0.1807, over 13626.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08081, over 477.00 utterances.], tot_loss[loss=0.3817, simple_loss=0.4133, pruned_loss=0.175, over 2783585.43 frames. utt_duration=259.9 frames, utt_pad_proportion=0.06841, over 43092.60 utterances.], batch size: 477, lr: 1.17e-03
+2022-09-17 05:49:12,583 INFO [train.py:885] (1/2) Epoch 3, batch 5850, loss[loss=0.3668, simple_loss=0.4093, pruned_loss=0.1622, over 14252.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04227, over 225.00 utterances.], tot_loss[loss=0.3821, simple_loss=0.4137, pruned_loss=0.1752, over 2778778.88 frames. utt_duration=257.2 frames, utt_pad_proportion=0.07128, over 43470.26 utterances.], batch size: 225, lr: 1.16e-03
+2022-09-17 05:49:42,342 INFO [train.py:885] (1/2) Epoch 3, batch 5900, loss[loss=0.3495, simple_loss=0.3849, pruned_loss=0.1571, over 14350.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03878, over 120.00 utterances.], tot_loss[loss=0.382, simple_loss=0.4138, pruned_loss=0.1751, over 2781475.42 frames. utt_duration=259 frames, utt_pad_proportion=0.07117, over 43209.55 utterances.], batch size: 120, lr: 1.16e-03
+2022-09-17 05:50:11,671 INFO [train.py:885] (1/2) Epoch 3, batch 5950, loss[loss=0.3526, simple_loss=0.4005, pruned_loss=0.1524, over 14289.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03921, over 154.00 utterances.], tot_loss[loss=0.3797, simple_loss=0.4123, pruned_loss=0.1736, over 2782053.37 frames. utt_duration=259.4 frames, utt_pad_proportion=0.07198, over 43145.93 utterances.], batch size: 154, lr: 1.16e-03
+2022-09-17 05:50:41,473 INFO [train.py:885] (1/2) Epoch 3, batch 6000, loss[loss=0.2693, simple_loss=0.3097, pruned_loss=0.1145, over 14052.00 frames. utt_duration=713 frames, utt_pad_proportion=0.05686, over 79.00 utterances.], tot_loss[loss=0.3803, simple_loss=0.4136, pruned_loss=0.1735, over 2780240.90 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07239, over 44520.73 utterances.], batch size: 79, lr: 1.16e-03
+2022-09-17 05:50:41,474 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 05:50:45,664 INFO [train.py:914] (1/2) Epoch 3, validation: loss=0.2567, simple_loss=0.3201, pruned_loss=0.09671, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 05:51:15,754 INFO [train.py:885] (1/2) Epoch 3, batch 6050, loss[loss=0.5, simple_loss=0.5207, pruned_loss=0.2397, over 13738.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07466, over 411.00 utterances.], tot_loss[loss=0.3867, simple_loss=0.4185, pruned_loss=0.1775, over 2779818.65 frames. utt_duration=245.5 frames, utt_pad_proportion=0.0717, over 45560.14 utterances.], batch size: 411, lr: 1.16e-03
+2022-09-17 05:51:45,461 INFO [train.py:885] (1/2) Epoch 3, batch 6100, loss[loss=0.4138, simple_loss=0.4527, pruned_loss=0.1874, over 14325.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03798, over 210.00 utterances.], tot_loss[loss=0.3824, simple_loss=0.4145, pruned_loss=0.1751, over 2785112.65 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06873, over 43527.00 utterances.], batch size: 210, lr: 1.16e-03
+2022-09-17 05:52:15,430 INFO [train.py:885] (1/2) Epoch 3, batch 6150, loss[loss=0.2919, simple_loss=0.343, pruned_loss=0.1204, over 14307.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03979, over 120.00 utterances.], tot_loss[loss=0.3882, simple_loss=0.4197, pruned_loss=0.1784, over 2785516.69 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06971, over 45516.04 utterances.], batch size: 120, lr: 1.16e-03
+2022-09-17 05:52:44,988 INFO [train.py:885] (1/2) Epoch 3, batch 6200, loss[loss=0.42, simple_loss=0.4481, pruned_loss=0.1959, over 14332.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03847, over 262.00 utterances.], tot_loss[loss=0.3882, simple_loss=0.4192, pruned_loss=0.1786, over 2785940.01 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06955, over 45046.87 utterances.], batch size: 262, lr: 1.16e-03
+2022-09-17 05:53:14,423 INFO [train.py:885] (1/2) Epoch 3, batch 6250, loss[loss=0.347, simple_loss=0.3665, pruned_loss=0.1637, over 14083.00 frames. utt_duration=714.5 frames, utt_pad_proportion=0.05487, over 79.00 utterances.], tot_loss[loss=0.3852, simple_loss=0.4167, pruned_loss=0.1768, over 2783252.45 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06947, over 44402.41 utterances.], batch size: 79, lr: 1.16e-03
+2022-09-17 05:53:43,599 INFO [train.py:885] (1/2) Epoch 3, batch 6300, loss[loss=0.5638, simple_loss=0.594, pruned_loss=0.2668, over 13098.00 frames. utt_duration=81.77 frames, utt_pad_proportion=0.1112, over 653.00 utterances.], tot_loss[loss=0.3843, simple_loss=0.416, pruned_loss=0.1763, over 2785852.99 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06862, over 44061.69 utterances.], batch size: 653, lr: 1.16e-03
+2022-09-17 05:54:13,495 INFO [train.py:885] (1/2) Epoch 3, batch 6350, loss[loss=0.2678, simple_loss=0.3224, pruned_loss=0.1066, over 13875.00 frames. utt_duration=704 frames, utt_pad_proportion=0.06753, over 79.00 utterances.], tot_loss[loss=0.3872, simple_loss=0.4186, pruned_loss=0.1779, over 2786977.42 frames. utt_duration=250.2 frames, utt_pad_proportion=0.0686, over 44825.67 utterances.], batch size: 79, lr: 1.16e-03
+2022-09-17 05:54:43,333 INFO [train.py:885] (1/2) Epoch 3, batch 6400, loss[loss=0.4619, simple_loss=0.4737, pruned_loss=0.225, over 14268.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04087, over 225.00 utterances.], tot_loss[loss=0.387, simple_loss=0.4181, pruned_loss=0.178, over 2784143.73 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07108, over 44615.25 utterances.], batch size: 225, lr: 1.15e-03
+2022-09-17 05:55:12,269 INFO [train.py:885] (1/2) Epoch 3, batch 6450, loss[loss=0.3799, simple_loss=0.4094, pruned_loss=0.1752, over 14375.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03708, over 167.00 utterances.], tot_loss[loss=0.3867, simple_loss=0.4179, pruned_loss=0.1778, over 2786617.80 frames. utt_duration=249.3 frames, utt_pad_proportion=0.0706, over 44978.38 utterances.], batch size: 167, lr: 1.15e-03
+2022-09-17 05:55:42,381 INFO [train.py:885] (1/2) Epoch 3, batch 6500, loss[loss=0.429, simple_loss=0.4506, pruned_loss=0.2037, over 14366.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03682, over 244.00 utterances.], tot_loss[loss=0.3893, simple_loss=0.4198, pruned_loss=0.1794, over 2783989.52 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07133, over 45841.19 utterances.], batch size: 244, lr: 1.15e-03
+2022-09-17 05:56:11,354 INFO [train.py:885] (1/2) Epoch 3, batch 6550, loss[loss=0.4573, simple_loss=0.4876, pruned_loss=0.2135, over 13995.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05626, over 365.00 utterances.], tot_loss[loss=0.385, simple_loss=0.4168, pruned_loss=0.1766, over 2781992.67 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07103, over 45372.80 utterances.], batch size: 365, lr: 1.15e-03
+2022-09-17 05:56:40,976 INFO [train.py:885] (1/2) Epoch 3, batch 6600, loss[loss=0.4467, simple_loss=0.4661, pruned_loss=0.2136, over 14368.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03507, over 210.00 utterances.], tot_loss[loss=0.3924, simple_loss=0.4231, pruned_loss=0.1808, over 2779621.54 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07383, over 47397.52 utterances.], batch size: 210, lr: 1.15e-03
+2022-09-17 05:57:10,429 INFO [train.py:885] (1/2) Epoch 3, batch 6650, loss[loss=0.3696, simple_loss=0.4051, pruned_loss=0.167, over 14251.00 frames. utt_duration=371.7 frames, utt_pad_proportion=0.04199, over 154.00 utterances.], tot_loss[loss=0.3847, simple_loss=0.4166, pruned_loss=0.1765, over 2774092.83 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07417, over 45632.86 utterances.], batch size: 154, lr: 1.15e-03
+2022-09-17 05:57:39,836 INFO [train.py:885] (1/2) Epoch 3, batch 6700, loss[loss=0.4099, simple_loss=0.4317, pruned_loss=0.1941, over 14168.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04345, over 109.00 utterances.], tot_loss[loss=0.3881, simple_loss=0.4198, pruned_loss=0.1783, over 2777699.71 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07414, over 46521.54 utterances.], batch size: 109, lr: 1.15e-03
+2022-09-17 05:58:09,241 INFO [train.py:885] (1/2) Epoch 3, batch 6750, loss[loss=0.7441, simple_loss=0.7269, pruned_loss=0.3807, over 12409.00 frames. utt_duration=62.82 frames, utt_pad_proportion=0.1511, over 810.00 utterances.], tot_loss[loss=0.3929, simple_loss=0.4241, pruned_loss=0.1808, over 2780466.97 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07318, over 48012.80 utterances.], batch size: 810, lr: 1.15e-03
+2022-09-17 05:58:39,535 INFO [train.py:885] (1/2) Epoch 3, batch 6800, loss[loss=0.3546, simple_loss=0.3842, pruned_loss=0.1625, over 14264.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04471, over 141.00 utterances.], tot_loss[loss=0.3903, simple_loss=0.4219, pruned_loss=0.1793, over 2782282.28 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07107, over 46880.95 utterances.], batch size: 141, lr: 1.15e-03
+2022-09-17 05:59:09,132 INFO [train.py:885] (1/2) Epoch 3, batch 6850, loss[loss=0.4045, simple_loss=0.464, pruned_loss=0.1725, over 13794.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06953, over 411.00 utterances.], tot_loss[loss=0.3876, simple_loss=0.419, pruned_loss=0.1781, over 2781037.77 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06983, over 45244.16 utterances.], batch size: 411, lr: 1.15e-03
+2022-09-17 05:59:38,672 INFO [train.py:885] (1/2) Epoch 3, batch 6900, loss[loss=0.7033, simple_loss=0.7034, pruned_loss=0.3516, over 12565.00 frames. utt_duration=63.58 frames, utt_pad_proportion=0.1408, over 810.00 utterances.], tot_loss[loss=0.3883, simple_loss=0.4197, pruned_loss=0.1785, over 2777061.54 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07195, over 45876.09 utterances.], batch size: 810, lr: 1.15e-03
+2022-09-17 06:00:08,294 INFO [train.py:885] (1/2) Epoch 3, batch 6950, loss[loss=0.3367, simple_loss=0.3695, pruned_loss=0.1519, over 14336.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.03876, over 154.00 utterances.], tot_loss[loss=0.3852, simple_loss=0.4181, pruned_loss=0.1762, over 2776069.99 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07177, over 46141.90 utterances.], batch size: 154, lr: 1.14e-03
+2022-09-17 06:00:37,404 INFO [train.py:885] (1/2) Epoch 3, batch 7000, loss[loss=0.3962, simple_loss=0.4659, pruned_loss=0.1633, over 13657.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07907, over 477.00 utterances.], tot_loss[loss=0.3833, simple_loss=0.4163, pruned_loss=0.1751, over 2778455.69 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07089, over 45381.18 utterances.], batch size: 477, lr: 1.14e-03
+2022-09-17 06:01:06,989 INFO [train.py:885] (1/2) Epoch 3, batch 7050, loss[loss=0.4201, simple_loss=0.4507, pruned_loss=0.1947, over 14233.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04237, over 306.00 utterances.], tot_loss[loss=0.3855, simple_loss=0.4174, pruned_loss=0.1768, over 2780328.20 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07285, over 45325.84 utterances.], batch size: 306, lr: 1.14e-03
+2022-09-17 06:01:36,736 INFO [train.py:885] (1/2) Epoch 3, batch 7100, loss[loss=0.3197, simple_loss=0.3634, pruned_loss=0.138, over 14150.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04638, over 109.00 utterances.], tot_loss[loss=0.391, simple_loss=0.4219, pruned_loss=0.18, over 2779097.71 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07472, over 46932.41 utterances.], batch size: 109, lr: 1.14e-03
+2022-09-17 06:02:06,237 INFO [train.py:885] (1/2) Epoch 3, batch 7150, loss[loss=0.2524, simple_loss=0.2966, pruned_loss=0.1041, over 13540.00 frames. utt_duration=1323 frames, utt_pad_proportion=0.07646, over 41.00 utterances.], tot_loss[loss=0.3907, simple_loss=0.4214, pruned_loss=0.1799, over 2773917.11 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07614, over 47386.62 utterances.], batch size: 41, lr: 1.14e-03
+2022-09-17 06:02:36,048 INFO [train.py:885] (1/2) Epoch 3, batch 7200, loss[loss=0.2026, simple_loss=0.246, pruned_loss=0.07956, over 13072.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1169, over 33.00 utterances.], tot_loss[loss=0.3882, simple_loss=0.4193, pruned_loss=0.1785, over 2774767.95 frames. utt_duration=239 frames, utt_pad_proportion=0.07459, over 46730.33 utterances.], batch size: 33, lr: 1.14e-03
+2022-09-17 06:03:05,123 INFO [train.py:885] (1/2) Epoch 3, batch 7250, loss[loss=0.5494, simple_loss=0.5514, pruned_loss=0.2737, over 13761.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07229, over 411.00 utterances.], tot_loss[loss=0.3872, simple_loss=0.4185, pruned_loss=0.1779, over 2772910.45 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07426, over 46441.69 utterances.], batch size: 411, lr: 1.14e-03
+2022-09-17 06:03:34,826 INFO [train.py:885] (1/2) Epoch 3, batch 7300, loss[loss=0.5501, simple_loss=0.5781, pruned_loss=0.2611, over 13612.00 frames. utt_duration=98.63 frames, utt_pad_proportion=0.0782, over 560.00 utterances.], tot_loss[loss=0.3847, simple_loss=0.4157, pruned_loss=0.1769, over 2773142.35 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07323, over 45494.13 utterances.], batch size: 560, lr: 1.14e-03
+2022-09-17 06:04:04,128 INFO [train.py:885] (1/2) Epoch 3, batch 7350, loss[loss=0.3503, simple_loss=0.3776, pruned_loss=0.1615, over 14061.00 frames. utt_duration=575.4 frames, utt_pad_proportion=0.05516, over 98.00 utterances.], tot_loss[loss=0.3847, simple_loss=0.4162, pruned_loss=0.1766, over 2774666.74 frames. utt_duration=246 frames, utt_pad_proportion=0.07195, over 45393.56 utterances.], batch size: 98, lr: 1.14e-03
+2022-09-17 06:04:34,164 INFO [train.py:885] (1/2) Epoch 3, batch 7400, loss[loss=0.4015, simple_loss=0.4346, pruned_loss=0.1842, over 14328.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03513, over 244.00 utterances.], tot_loss[loss=0.3812, simple_loss=0.4135, pruned_loss=0.1745, over 2774748.77 frames. utt_duration=249.8 frames, utt_pad_proportion=0.0712, over 44692.83 utterances.], batch size: 244, lr: 1.14e-03
+2022-09-17 06:05:03,384 INFO [train.py:885] (1/2) Epoch 3, batch 7450, loss[loss=0.6831, simple_loss=0.689, pruned_loss=0.3387, over 12461.00 frames. utt_duration=63.1 frames, utt_pad_proportion=0.1473, over 810.00 utterances.], tot_loss[loss=0.3846, simple_loss=0.4166, pruned_loss=0.1763, over 2775790.61 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07248, over 45502.95 utterances.], batch size: 810, lr: 1.14e-03
+2022-09-17 06:05:33,146 INFO [train.py:885] (1/2) Epoch 3, batch 7500, loss[loss=0.4006, simple_loss=0.4346, pruned_loss=0.1833, over 14348.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03563, over 195.00 utterances.], tot_loss[loss=0.3837, simple_loss=0.4159, pruned_loss=0.1758, over 2781373.14 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07087, over 44290.40 utterances.], batch size: 195, lr: 1.14e-03
+2022-09-17 06:06:02,530 INFO [train.py:885] (1/2) Epoch 3, batch 7550, loss[loss=0.4639, simple_loss=0.5051, pruned_loss=0.2114, over 13765.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07248, over 411.00 utterances.], tot_loss[loss=0.3866, simple_loss=0.4189, pruned_loss=0.1772, over 2781720.79 frames. utt_duration=247 frames, utt_pad_proportion=0.07144, over 45311.09 utterances.], batch size: 411, lr: 1.13e-03
+2022-09-17 06:06:31,728 INFO [train.py:885] (1/2) Epoch 3, batch 7600, loss[loss=0.2273, simple_loss=0.2706, pruned_loss=0.09198, over 13689.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.07583, over 42.00 utterances.], tot_loss[loss=0.3862, simple_loss=0.4189, pruned_loss=0.1767, over 2782694.69 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07199, over 46014.74 utterances.], batch size: 42, lr: 1.13e-03
+2022-09-17 06:07:01,632 INFO [train.py:885] (1/2) Epoch 3, batch 7650, loss[loss=0.802, simple_loss=0.7628, pruned_loss=0.4206, over 12438.00 frames. utt_duration=62.89 frames, utt_pad_proportion=0.1502, over 811.00 utterances.], tot_loss[loss=0.3846, simple_loss=0.4172, pruned_loss=0.176, over 2780454.95 frames. utt_duration=241 frames, utt_pad_proportion=0.07286, over 46426.98 utterances.], batch size: 811, lr: 1.13e-03
+2022-09-17 06:07:31,239 INFO [train.py:885] (1/2) Epoch 3, batch 7700, loss[loss=0.5035, simple_loss=0.5543, pruned_loss=0.2264, over 13131.00 frames. utt_duration=82 frames, utt_pad_proportion=0.1087, over 653.00 utterances.], tot_loss[loss=0.388, simple_loss=0.4201, pruned_loss=0.178, over 2776188.73 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07579, over 47533.23 utterances.], batch size: 653, lr: 1.13e-03
+2022-09-17 06:08:01,465 INFO [train.py:885] (1/2) Epoch 3, batch 7750, loss[loss=0.4536, simple_loss=0.4694, pruned_loss=0.2189, over 14332.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03733, over 195.00 utterances.], tot_loss[loss=0.3813, simple_loss=0.4146, pruned_loss=0.174, over 2776793.39 frames. utt_duration=244.4 frames, utt_pad_proportion=0.0739, over 45714.06 utterances.], batch size: 195, lr: 1.13e-03
+2022-09-17 06:08:30,414 INFO [train.py:885] (1/2) Epoch 3, batch 7800, loss[loss=0.5288, simple_loss=0.57, pruned_loss=0.2438, over 13199.00 frames. utt_duration=82.46 frames, utt_pad_proportion=0.1037, over 653.00 utterances.], tot_loss[loss=0.3831, simple_loss=0.4162, pruned_loss=0.175, over 2772188.40 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07592, over 46722.00 utterances.], batch size: 653, lr: 1.13e-03
+2022-09-17 06:09:00,949 INFO [train.py:885] (1/2) Epoch 3, batch 7850, loss[loss=0.4911, simple_loss=0.4897, pruned_loss=0.2462, over 14210.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04397, over 306.00 utterances.], tot_loss[loss=0.3812, simple_loss=0.4151, pruned_loss=0.1736, over 2772835.09 frames. utt_duration=237.1 frames, utt_pad_proportion=0.0748, over 47070.49 utterances.], batch size: 306, lr: 1.13e-03
+2022-09-17 06:09:30,090 INFO [train.py:885] (1/2) Epoch 3, batch 7900, loss[loss=0.4007, simple_loss=0.4526, pruned_loss=0.1744, over 13985.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05758, over 365.00 utterances.], tot_loss[loss=0.3802, simple_loss=0.4142, pruned_loss=0.1731, over 2774839.02 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07402, over 46483.70 utterances.], batch size: 365, lr: 1.13e-03
+2022-09-17 06:09:59,420 INFO [train.py:885] (1/2) Epoch 3, batch 7950, loss[loss=0.3535, simple_loss=0.3877, pruned_loss=0.1596, over 14273.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.04004, over 130.00 utterances.], tot_loss[loss=0.3824, simple_loss=0.4159, pruned_loss=0.1744, over 2778610.78 frames. utt_duration=240 frames, utt_pad_proportion=0.07227, over 46605.99 utterances.], batch size: 130, lr: 1.13e-03
+2022-09-17 06:10:29,371 INFO [train.py:885] (1/2) Epoch 3, batch 8000, loss[loss=0.615, simple_loss=0.617, pruned_loss=0.3065, over 13161.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.3857, simple_loss=0.4189, pruned_loss=0.1762, over 2777178.00 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07342, over 47381.72 utterances.], batch size: 653, lr: 1.13e-03
+2022-09-17 06:11:03,071 INFO [train.py:885] (1/2) Epoch 3, batch 8050, loss[loss=0.3232, simple_loss=0.3704, pruned_loss=0.138, over 14314.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03911, over 130.00 utterances.], tot_loss[loss=0.3855, simple_loss=0.4187, pruned_loss=0.1761, over 2776264.59 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07414, over 47459.88 utterances.], batch size: 130, lr: 1.13e-03
+2022-09-17 06:11:33,425 INFO [train.py:885] (1/2) Epoch 3, batch 8100, loss[loss=0.4876, simple_loss=0.4852, pruned_loss=0.245, over 14229.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04292, over 306.00 utterances.], tot_loss[loss=0.387, simple_loss=0.4191, pruned_loss=0.1775, over 2783214.74 frames. utt_duration=242.4 frames, utt_pad_proportion=0.0714, over 46216.53 utterances.], batch size: 306, lr: 1.13e-03
+2022-09-17 06:12:03,349 INFO [train.py:885] (1/2) Epoch 3, batch 8150, loss[loss=0.4704, simple_loss=0.4768, pruned_loss=0.2319, over 14351.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03698, over 262.00 utterances.], tot_loss[loss=0.3911, simple_loss=0.4231, pruned_loss=0.1795, over 2783310.77 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07194, over 48064.57 utterances.], batch size: 262, lr: 1.12e-03
+2022-09-17 06:12:33,149 INFO [train.py:885] (1/2) Epoch 3, batch 8200, loss[loss=0.2728, simple_loss=0.3094, pruned_loss=0.1181, over 13927.00 frames. utt_duration=706.7 frames, utt_pad_proportion=0.06396, over 79.00 utterances.], tot_loss[loss=0.3896, simple_loss=0.4222, pruned_loss=0.1785, over 2781688.96 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07263, over 48434.84 utterances.], batch size: 79, lr: 1.12e-03
+2022-09-17 06:13:02,892 INFO [train.py:885] (1/2) Epoch 3, batch 8250, loss[loss=0.5581, simple_loss=0.5312, pruned_loss=0.2925, over 14253.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04204, over 335.00 utterances.], tot_loss[loss=0.3884, simple_loss=0.4203, pruned_loss=0.1782, over 2785286.58 frames. utt_duration=239 frames, utt_pad_proportion=0.07042, over 46910.05 utterances.], batch size: 335, lr: 1.12e-03
+2022-09-17 06:13:32,072 INFO [train.py:885] (1/2) Epoch 3, batch 8300, loss[loss=0.3229, simple_loss=0.3377, pruned_loss=0.1541, over 12830.00 frames. utt_duration=1557 frames, utt_pad_proportion=0.1372, over 33.00 utterances.], tot_loss[loss=0.385, simple_loss=0.4179, pruned_loss=0.1761, over 2779274.20 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07117, over 46154.54 utterances.], batch size: 33, lr: 1.12e-03
+2022-09-17 06:14:01,607 INFO [train.py:885] (1/2) Epoch 3, batch 8350, loss[loss=0.4787, simple_loss=0.4897, pruned_loss=0.2339, over 14260.00 frames. utt_duration=188.1 frames, utt_pad_proportion=0.04035, over 306.00 utterances.], tot_loss[loss=0.3848, simple_loss=0.4175, pruned_loss=0.1761, over 2780930.00 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06943, over 45407.68 utterances.], batch size: 306, lr: 1.12e-03
+2022-09-17 06:14:31,306 INFO [train.py:885] (1/2) Epoch 3, batch 8400, loss[loss=0.4746, simple_loss=0.5303, pruned_loss=0.2094, over 13092.00 frames. utt_duration=81.76 frames, utt_pad_proportion=0.1113, over 653.00 utterances.], tot_loss[loss=0.3875, simple_loss=0.4193, pruned_loss=0.1778, over 2780876.44 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07022, over 45932.70 utterances.], batch size: 653, lr: 1.12e-03
+2022-09-17 06:15:00,938 INFO [train.py:885] (1/2) Epoch 3, batch 8450, loss[loss=0.3651, simple_loss=0.4116, pruned_loss=0.1593, over 14376.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03738, over 167.00 utterances.], tot_loss[loss=0.3828, simple_loss=0.4164, pruned_loss=0.1746, over 2778592.30 frames. utt_duration=243 frames, utt_pad_proportion=0.07026, over 46008.84 utterances.], batch size: 167, lr: 1.12e-03
+2022-09-17 06:15:30,088 INFO [train.py:885] (1/2) Epoch 3, batch 8500, loss[loss=0.387, simple_loss=0.4245, pruned_loss=0.1748, over 14306.00 frames. utt_duration=255.8 frames, utt_pad_proportion=0.03846, over 225.00 utterances.], tot_loss[loss=0.3847, simple_loss=0.4182, pruned_loss=0.1756, over 2782145.71 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07011, over 46588.79 utterances.], batch size: 225, lr: 1.12e-03
+2022-09-17 06:16:00,049 INFO [train.py:885] (1/2) Epoch 3, batch 8550, loss[loss=0.4061, simple_loss=0.4327, pruned_loss=0.1897, over 14320.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03988, over 154.00 utterances.], tot_loss[loss=0.3831, simple_loss=0.4169, pruned_loss=0.1746, over 2782100.73 frames. utt_duration=243.3 frames, utt_pad_proportion=0.06896, over 46017.64 utterances.], batch size: 154, lr: 1.12e-03
+2022-09-17 06:16:29,297 INFO [train.py:885] (1/2) Epoch 3, batch 8600, loss[loss=0.4022, simple_loss=0.4382, pruned_loss=0.1831, over 14210.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04402, over 306.00 utterances.], tot_loss[loss=0.3798, simple_loss=0.4139, pruned_loss=0.1728, over 2783740.41 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06895, over 45267.09 utterances.], batch size: 306, lr: 1.12e-03
+2022-09-17 06:16:59,255 INFO [train.py:885] (1/2) Epoch 3, batch 8650, loss[loss=0.1582, simple_loss=0.1945, pruned_loss=0.06096, over 12369.00 frames. utt_duration=2063 frames, utt_pad_proportion=0.1518, over 24.00 utterances.], tot_loss[loss=0.3813, simple_loss=0.4151, pruned_loss=0.1737, over 2779175.75 frames. utt_duration=242.5 frames, utt_pad_proportion=0.06964, over 46120.63 utterances.], batch size: 24, lr: 1.12e-03
+2022-09-17 06:17:28,501 INFO [train.py:885] (1/2) Epoch 3, batch 8700, loss[loss=0.3311, simple_loss=0.3893, pruned_loss=0.1364, over 14289.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.04272, over 141.00 utterances.], tot_loss[loss=0.3835, simple_loss=0.4174, pruned_loss=0.1748, over 2781009.84 frames. utt_duration=238.4 frames, utt_pad_proportion=0.06987, over 46945.88 utterances.], batch size: 141, lr: 1.12e-03
+2022-09-17 06:17:58,475 INFO [train.py:885] (1/2) Epoch 3, batch 8750, loss[loss=0.2529, simple_loss=0.3117, pruned_loss=0.09707, over 14088.00 frames. utt_duration=634.9 frames, utt_pad_proportion=0.0538, over 89.00 utterances.], tot_loss[loss=0.3843, simple_loss=0.4175, pruned_loss=0.1756, over 2788388.12 frames. utt_duration=243.6 frames, utt_pad_proportion=0.06715, over 46055.76 utterances.], batch size: 89, lr: 1.11e-03
+2022-09-17 06:18:27,755 INFO [train.py:885] (1/2) Epoch 3, batch 8800, loss[loss=0.2942, simple_loss=0.3552, pruned_loss=0.1166, over 14300.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.04004, over 120.00 utterances.], tot_loss[loss=0.3832, simple_loss=0.4159, pruned_loss=0.1753, over 2788578.66 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06615, over 45223.10 utterances.], batch size: 120, lr: 1.11e-03
+2022-09-17 06:18:57,331 INFO [train.py:885] (1/2) Epoch 3, batch 8850, loss[loss=0.2294, simple_loss=0.2686, pruned_loss=0.09508, over 13077.00 frames. utt_duration=1587 frames, utt_pad_proportion=0.1196, over 33.00 utterances.], tot_loss[loss=0.3824, simple_loss=0.416, pruned_loss=0.1744, over 2789035.69 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06624, over 45374.27 utterances.], batch size: 33, lr: 1.11e-03
+2022-09-17 06:19:27,024 INFO [train.py:885] (1/2) Epoch 3, batch 8900, loss[loss=0.4835, simple_loss=0.4843, pruned_loss=0.2414, over 14333.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03421, over 244.00 utterances.], tot_loss[loss=0.3856, simple_loss=0.4189, pruned_loss=0.1761, over 2784950.84 frames. utt_duration=240.1 frames, utt_pad_proportion=0.0689, over 46690.52 utterances.], batch size: 244, lr: 1.11e-03
+2022-09-17 06:19:56,447 INFO [train.py:885] (1/2) Epoch 3, batch 8950, loss[loss=0.3918, simple_loss=0.4223, pruned_loss=0.1806, over 14211.00 frames. utt_duration=254.2 frames, utt_pad_proportion=0.04449, over 225.00 utterances.], tot_loss[loss=0.3877, simple_loss=0.4207, pruned_loss=0.1773, over 2781793.79 frames. utt_duration=236 frames, utt_pad_proportion=0.07207, over 47441.36 utterances.], batch size: 225, lr: 1.11e-03
+2022-09-17 06:20:26,325 INFO [train.py:885] (1/2) Epoch 3, batch 9000, loss[loss=0.2673, simple_loss=0.3091, pruned_loss=0.1127, over 14059.00 frames. utt_duration=804.7 frames, utt_pad_proportion=0.06106, over 70.00 utterances.], tot_loss[loss=0.3872, simple_loss=0.42, pruned_loss=0.1772, over 2779793.30 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07257, over 47199.89 utterances.], batch size: 70, lr: 1.11e-03
+2022-09-17 06:20:26,326 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 06:20:30,992 INFO [train.py:914] (1/2) Epoch 3, validation: loss=0.2395, simple_loss=0.3069, pruned_loss=0.08608, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 06:21:00,662 INFO [train.py:885] (1/2) Epoch 3, batch 9050, loss[loss=0.4628, simple_loss=0.4745, pruned_loss=0.2256, over 14302.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03957, over 283.00 utterances.], tot_loss[loss=0.3861, simple_loss=0.4187, pruned_loss=0.1768, over 2775751.09 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07272, over 46797.01 utterances.], batch size: 283, lr: 1.11e-03
+2022-09-17 06:21:30,118 INFO [train.py:885] (1/2) Epoch 3, batch 9100, loss[loss=0.5299, simple_loss=0.561, pruned_loss=0.2493, over 13134.00 frames. utt_duration=81.92 frames, utt_pad_proportion=0.1096, over 653.00 utterances.], tot_loss[loss=0.3855, simple_loss=0.4186, pruned_loss=0.1762, over 2774617.42 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07422, over 47197.96 utterances.], batch size: 653, lr: 1.11e-03
+2022-09-17 06:22:00,129 INFO [train.py:885] (1/2) Epoch 3, batch 9150, loss[loss=0.824, simple_loss=0.7732, pruned_loss=0.4374, over 12500.00 frames. utt_duration=63.24 frames, utt_pad_proportion=0.1453, over 810.00 utterances.], tot_loss[loss=0.3873, simple_loss=0.4211, pruned_loss=0.1768, over 2777115.93 frames. utt_duration=230.5 frames, utt_pad_proportion=0.07508, over 48508.70 utterances.], batch size: 810, lr: 1.11e-03
+2022-09-17 06:22:29,672 INFO [train.py:885] (1/2) Epoch 3, batch 9200, loss[loss=0.5322, simple_loss=0.5178, pruned_loss=0.2733, over 14270.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04023, over 225.00 utterances.], tot_loss[loss=0.3958, simple_loss=0.4279, pruned_loss=0.1818, over 2777778.60 frames. utt_duration=222.6 frames, utt_pad_proportion=0.07697, over 50238.08 utterances.], batch size: 225, lr: 1.11e-03
+2022-09-17 06:22:58,714 INFO [train.py:885] (1/2) Epoch 3, batch 9250, loss[loss=0.3588, simple_loss=0.4139, pruned_loss=0.1519, over 14293.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03919, over 180.00 utterances.], tot_loss[loss=0.3903, simple_loss=0.4223, pruned_loss=0.1791, over 2783116.44 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07267, over 47083.32 utterances.], batch size: 180, lr: 1.11e-03
+2022-09-17 06:23:28,598 INFO [train.py:885] (1/2) Epoch 3, batch 9300, loss[loss=0.2851, simple_loss=0.36, pruned_loss=0.1051, over 14041.00 frames. utt_duration=574.5 frames, utt_pad_proportion=0.05347, over 98.00 utterances.], tot_loss[loss=0.3892, simple_loss=0.4213, pruned_loss=0.1785, over 2787159.26 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07036, over 46837.64 utterances.], batch size: 98, lr: 1.11e-03
+2022-09-17 06:23:57,863 INFO [train.py:885] (1/2) Epoch 3, batch 9350, loss[loss=0.2735, simple_loss=0.3222, pruned_loss=0.1125, over 13876.00 frames. utt_duration=806.2 frames, utt_pad_proportion=0.0615, over 69.00 utterances.], tot_loss[loss=0.3872, simple_loss=0.4191, pruned_loss=0.1776, over 2785455.79 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07146, over 46227.41 utterances.], batch size: 69, lr: 1.11e-03
+2022-09-17 06:24:27,528 INFO [train.py:885] (1/2) Epoch 3, batch 9400, loss[loss=0.3902, simple_loss=0.4281, pruned_loss=0.1762, over 14369.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.0347, over 210.00 utterances.], tot_loss[loss=0.3889, simple_loss=0.4207, pruned_loss=0.1785, over 2788809.44 frames. utt_duration=240.8 frames, utt_pad_proportion=0.0703, over 46614.97 utterances.], batch size: 210, lr: 1.10e-03
+2022-09-17 06:24:57,060 INFO [train.py:885] (1/2) Epoch 3, batch 9450, loss[loss=0.322, simple_loss=0.3738, pruned_loss=0.1351, over 14281.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.04098, over 120.00 utterances.], tot_loss[loss=0.3876, simple_loss=0.4202, pruned_loss=0.1775, over 2788633.25 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07005, over 46486.55 utterances.], batch size: 120, lr: 1.10e-03
+2022-09-17 06:25:26,830 INFO [train.py:885] (1/2) Epoch 3, batch 9500, loss[loss=0.4814, simple_loss=0.4907, pruned_loss=0.2361, over 14200.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04544, over 335.00 utterances.], tot_loss[loss=0.3904, simple_loss=0.4222, pruned_loss=0.1793, over 2788086.60 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07075, over 46984.04 utterances.], batch size: 335, lr: 1.10e-03
+2022-09-17 06:25:56,585 INFO [train.py:885] (1/2) Epoch 3, batch 9550, loss[loss=0.1913, simple_loss=0.2378, pruned_loss=0.0724, over 13443.00 frames. utt_duration=1631 frames, utt_pad_proportion=0.0974, over 33.00 utterances.], tot_loss[loss=0.387, simple_loss=0.4195, pruned_loss=0.1773, over 2784497.46 frames. utt_duration=239.9 frames, utt_pad_proportion=0.0708, over 46715.09 utterances.], batch size: 33, lr: 1.10e-03
+2022-09-17 06:26:25,916 INFO [train.py:885] (1/2) Epoch 3, batch 9600, loss[loss=0.3624, simple_loss=0.4045, pruned_loss=0.1602, over 14238.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04641, over 141.00 utterances.], tot_loss[loss=0.384, simple_loss=0.4179, pruned_loss=0.1751, over 2784707.06 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07009, over 46766.60 utterances.], batch size: 141, lr: 1.10e-03
+2022-09-17 06:26:56,057 INFO [train.py:885] (1/2) Epoch 3, batch 9650, loss[loss=0.3013, simple_loss=0.3596, pruned_loss=0.1215, over 14198.00 frames. utt_duration=522.5 frames, utt_pad_proportion=0.0431, over 109.00 utterances.], tot_loss[loss=0.3808, simple_loss=0.4149, pruned_loss=0.1734, over 2788154.23 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06762, over 45370.98 utterances.], batch size: 109, lr: 1.10e-03
+2022-09-17 06:27:25,369 INFO [train.py:885] (1/2) Epoch 3, batch 9700, loss[loss=0.4432, simple_loss=0.4639, pruned_loss=0.2113, over 14214.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0433, over 306.00 utterances.], tot_loss[loss=0.3808, simple_loss=0.4151, pruned_loss=0.1732, over 2787835.18 frames. utt_duration=246 frames, utt_pad_proportion=0.06675, over 45600.42 utterances.], batch size: 306, lr: 1.10e-03
+2022-09-17 06:27:53,967 INFO [train.py:885] (1/2) Epoch 3, batch 9750, loss[loss=0.1953, simple_loss=0.2546, pruned_loss=0.06803, over 12429.00 frames. utt_duration=1990 frames, utt_pad_proportion=0.1073, over 25.00 utterances.], tot_loss[loss=0.3809, simple_loss=0.4148, pruned_loss=0.1735, over 2784550.51 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06924, over 45215.82 utterances.], batch size: 25, lr: 1.10e-03
+2022-09-17 06:28:23,221 INFO [train.py:885] (1/2) Epoch 3, batch 9800, loss[loss=0.3279, simple_loss=0.374, pruned_loss=0.1409, over 14351.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03895, over 167.00 utterances.], tot_loss[loss=0.3865, simple_loss=0.4195, pruned_loss=0.1767, over 2782558.89 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07178, over 46836.70 utterances.], batch size: 167, lr: 1.10e-03
+2022-09-17 06:28:52,714 INFO [train.py:885] (1/2) Epoch 3, batch 9850, loss[loss=0.4429, simple_loss=0.4549, pruned_loss=0.2155, over 14339.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03955, over 167.00 utterances.], tot_loss[loss=0.3855, simple_loss=0.4186, pruned_loss=0.1762, over 2783669.92 frames. utt_duration=241 frames, utt_pad_proportion=0.07235, over 46492.18 utterances.], batch size: 167, lr: 1.10e-03
+2022-09-17 06:29:30,922 INFO [train.py:885] (1/2) Epoch 3, batch 9900, loss[loss=0.4442, simple_loss=0.4833, pruned_loss=0.2026, over 13957.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05895, over 365.00 utterances.], tot_loss[loss=0.392, simple_loss=0.4246, pruned_loss=0.1797, over 2783592.09 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07314, over 48374.35 utterances.], batch size: 365, lr: 1.10e-03
+2022-09-17 06:30:00,629 INFO [train.py:885] (1/2) Epoch 3, batch 9950, loss[loss=0.2623, simple_loss=0.3137, pruned_loss=0.1055, over 14099.00 frames. utt_duration=715.5 frames, utt_pad_proportion=0.05361, over 79.00 utterances.], tot_loss[loss=0.3964, simple_loss=0.4284, pruned_loss=0.1823, over 2779753.93 frames. utt_duration=223.9 frames, utt_pad_proportion=0.07531, over 49993.23 utterances.], batch size: 79, lr: 1.10e-03
+2022-09-17 06:30:29,931 INFO [train.py:885] (1/2) Epoch 3, batch 10000, loss[loss=0.3014, simple_loss=0.3495, pruned_loss=0.1267, over 14066.00 frames. utt_duration=575.7 frames, utt_pad_proportion=0.05464, over 98.00 utterances.], tot_loss[loss=0.3934, simple_loss=0.4253, pruned_loss=0.1807, over 2781679.39 frames. utt_duration=228.4 frames, utt_pad_proportion=0.0734, over 49039.71 utterances.], batch size: 98, lr: 1.10e-03
+2022-09-17 06:30:59,231 INFO [train.py:885] (1/2) Epoch 3, batch 10050, loss[loss=0.3101, simple_loss=0.3449, pruned_loss=0.1377, over 14273.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04474, over 110.00 utterances.], tot_loss[loss=0.3916, simple_loss=0.424, pruned_loss=0.1796, over 2781888.29 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07377, over 48139.62 utterances.], batch size: 110, lr: 1.09e-03
+2022-09-17 06:31:28,452 INFO [train.py:885] (1/2) Epoch 3, batch 10100, loss[loss=0.2575, simple_loss=0.3102, pruned_loss=0.1024, over 13414.00 frames. utt_duration=1074 frames, utt_pad_proportion=0.08968, over 50.00 utterances.], tot_loss[loss=0.3895, simple_loss=0.4228, pruned_loss=0.1781, over 2782209.68 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07325, over 48026.94 utterances.], batch size: 50, lr: 1.09e-03
+2022-09-17 06:31:58,194 INFO [train.py:885] (1/2) Epoch 3, batch 10150, loss[loss=0.2545, simple_loss=0.2978, pruned_loss=0.1056, over 13829.00 frames. utt_duration=923.4 frames, utt_pad_proportion=0.07194, over 60.00 utterances.], tot_loss[loss=0.3835, simple_loss=0.4176, pruned_loss=0.1747, over 2781679.83 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07172, over 46304.34 utterances.], batch size: 60, lr: 1.09e-03
+2022-09-17 06:32:27,407 INFO [train.py:885] (1/2) Epoch 3, batch 10200, loss[loss=0.4565, simple_loss=0.4674, pruned_loss=0.2228, over 14341.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03683, over 195.00 utterances.], tot_loss[loss=0.3831, simple_loss=0.4172, pruned_loss=0.1745, over 2781897.60 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07097, over 45963.34 utterances.], batch size: 195, lr: 1.09e-03
+2022-09-17 06:32:56,985 INFO [train.py:885] (1/2) Epoch 3, batch 10250, loss[loss=0.4407, simple_loss=0.5038, pruned_loss=0.1888, over 13545.00 frames. utt_duration=98.16 frames, utt_pad_proportion=0.08259, over 560.00 utterances.], tot_loss[loss=0.385, simple_loss=0.4189, pruned_loss=0.1755, over 2782458.52 frames. utt_duration=240 frames, utt_pad_proportion=0.07018, over 46653.80 utterances.], batch size: 560, lr: 1.09e-03
+2022-09-17 06:33:26,146 INFO [train.py:885] (1/2) Epoch 3, batch 10300, loss[loss=0.324, simple_loss=0.3489, pruned_loss=0.1496, over 13822.00 frames. utt_duration=802.7 frames, utt_pad_proportion=0.06551, over 69.00 utterances.], tot_loss[loss=0.3843, simple_loss=0.419, pruned_loss=0.1748, over 2784621.39 frames. utt_duration=241.1 frames, utt_pad_proportion=0.06941, over 46490.91 utterances.], batch size: 69, lr: 1.09e-03
+2022-09-17 06:33:55,817 INFO [train.py:885] (1/2) Epoch 3, batch 10350, loss[loss=0.3292, simple_loss=0.3598, pruned_loss=0.1493, over 14073.00 frames. utt_duration=575.9 frames, utt_pad_proportion=0.05594, over 98.00 utterances.], tot_loss[loss=0.3806, simple_loss=0.4157, pruned_loss=0.1727, over 2785951.22 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06842, over 45031.10 utterances.], batch size: 98, lr: 1.09e-03
+2022-09-17 06:34:25,761 INFO [train.py:885] (1/2) Epoch 3, batch 10400, loss[loss=0.353, simple_loss=0.4042, pruned_loss=0.1509, over 14423.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03236, over 211.00 utterances.], tot_loss[loss=0.3877, simple_loss=0.4216, pruned_loss=0.1769, over 2781810.73 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07035, over 47390.65 utterances.], batch size: 211, lr: 1.09e-03
+2022-09-17 06:34:54,719 INFO [train.py:885] (1/2) Epoch 3, batch 10450, loss[loss=0.2026, simple_loss=0.248, pruned_loss=0.07857, over 13187.00 frames. utt_duration=1599 frames, utt_pad_proportion=0.1153, over 33.00 utterances.], tot_loss[loss=0.3845, simple_loss=0.4185, pruned_loss=0.1753, over 2775433.35 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07267, over 46407.16 utterances.], batch size: 33, lr: 1.09e-03
+2022-09-17 06:35:23,828 INFO [train.py:885] (1/2) Epoch 3, batch 10500, loss[loss=0.2469, simple_loss=0.2903, pruned_loss=0.1017, over 13309.00 frames. utt_duration=2049 frames, utt_pad_proportion=0.09977, over 26.00 utterances.], tot_loss[loss=0.3815, simple_loss=0.4156, pruned_loss=0.1737, over 2780660.99 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06991, over 45086.13 utterances.], batch size: 26, lr: 1.09e-03
+2022-09-17 06:35:53,796 INFO [train.py:885] (1/2) Epoch 3, batch 10550, loss[loss=0.4145, simple_loss=0.4392, pruned_loss=0.1949, over 14359.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03715, over 244.00 utterances.], tot_loss[loss=0.3768, simple_loss=0.4123, pruned_loss=0.1706, over 2779050.28 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07091, over 44830.28 utterances.], batch size: 244, lr: 1.09e-03
+2022-09-17 06:36:22,871 INFO [train.py:885] (1/2) Epoch 3, batch 10600, loss[loss=0.2896, simple_loss=0.3413, pruned_loss=0.1189, over 14168.00 frames. utt_duration=638.2 frames, utt_pad_proportion=0.04886, over 89.00 utterances.], tot_loss[loss=0.3776, simple_loss=0.413, pruned_loss=0.1711, over 2782122.65 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07029, over 44875.15 utterances.], batch size: 89, lr: 1.09e-03
+2022-09-17 06:36:52,633 INFO [train.py:885] (1/2) Epoch 3, batch 10650, loss[loss=0.5115, simple_loss=0.5477, pruned_loss=0.2377, over 13612.00 frames. utt_duration=98.59 frames, utt_pad_proportion=0.0786, over 560.00 utterances.], tot_loss[loss=0.3792, simple_loss=0.4148, pruned_loss=0.1718, over 2780696.75 frames. utt_duration=245.2 frames, utt_pad_proportion=0.0715, over 45643.08 utterances.], batch size: 560, lr: 1.09e-03
+2022-09-17 06:37:22,550 INFO [train.py:885] (1/2) Epoch 3, batch 10700, loss[loss=0.3378, simple_loss=0.3718, pruned_loss=0.1519, over 14160.00 frames. utt_duration=579.4 frames, utt_pad_proportion=0.04864, over 98.00 utterances.], tot_loss[loss=0.3837, simple_loss=0.4185, pruned_loss=0.1744, over 2781769.33 frames. utt_duration=239 frames, utt_pad_proportion=0.0715, over 46847.02 utterances.], batch size: 98, lr: 1.08e-03
+2022-09-17 06:37:52,172 INFO [train.py:885] (1/2) Epoch 3, batch 10750, loss[loss=0.5461, simple_loss=0.5698, pruned_loss=0.2612, over 13611.00 frames. utt_duration=98.59 frames, utt_pad_proportion=0.07859, over 560.00 utterances.], tot_loss[loss=0.3803, simple_loss=0.4155, pruned_loss=0.1726, over 2783224.72 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06955, over 45701.48 utterances.], batch size: 560, lr: 1.08e-03
+2022-09-17 06:38:22,149 INFO [train.py:885] (1/2) Epoch 3, batch 10800, loss[loss=0.2823, simple_loss=0.3344, pruned_loss=0.1151, over 13810.00 frames. utt_duration=921.9 frames, utt_pad_proportion=0.0744, over 60.00 utterances.], tot_loss[loss=0.3783, simple_loss=0.414, pruned_loss=0.1713, over 2780189.28 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07162, over 45042.65 utterances.], batch size: 60, lr: 1.08e-03
+2022-09-17 06:38:51,974 INFO [train.py:885] (1/2) Epoch 3, batch 10850, loss[loss=0.3942, simple_loss=0.4173, pruned_loss=0.1855, over 14292.00 frames. utt_duration=343.7 frames, utt_pad_proportion=0.04252, over 167.00 utterances.], tot_loss[loss=0.3853, simple_loss=0.4209, pruned_loss=0.1748, over 2779045.70 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07431, over 48351.68 utterances.], batch size: 167, lr: 1.08e-03
+2022-09-17 06:39:21,195 INFO [train.py:885] (1/2) Epoch 3, batch 10900, loss[loss=0.3477, simple_loss=0.3854, pruned_loss=0.155, over 14275.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.03992, over 130.00 utterances.], tot_loss[loss=0.3854, simple_loss=0.4202, pruned_loss=0.1753, over 2783410.45 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07261, over 47253.48 utterances.], batch size: 130, lr: 1.08e-03
+2022-09-17 06:39:50,207 INFO [train.py:885] (1/2) Epoch 3, batch 10950, loss[loss=0.3127, simple_loss=0.3621, pruned_loss=0.1316, over 14244.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04576, over 141.00 utterances.], tot_loss[loss=0.3815, simple_loss=0.4167, pruned_loss=0.1731, over 2783665.30 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07245, over 46719.50 utterances.], batch size: 141, lr: 1.08e-03
+2022-09-17 06:40:19,455 INFO [train.py:885] (1/2) Epoch 3, batch 11000, loss[loss=0.2572, simple_loss=0.3266, pruned_loss=0.09388, over 13882.00 frames. utt_duration=926.9 frames, utt_pad_proportion=0.06653, over 60.00 utterances.], tot_loss[loss=0.3778, simple_loss=0.4142, pruned_loss=0.1707, over 2777285.54 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07286, over 47134.27 utterances.], batch size: 60, lr: 1.08e-03
+2022-09-17 06:40:49,288 INFO [train.py:885] (1/2) Epoch 3, batch 11050, loss[loss=0.5971, simple_loss=0.6107, pruned_loss=0.2918, over 13183.00 frames. utt_duration=82.3 frames, utt_pad_proportion=0.1055, over 653.00 utterances.], tot_loss[loss=0.3826, simple_loss=0.4182, pruned_loss=0.1735, over 2778739.04 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07342, over 47869.77 utterances.], batch size: 653, lr: 1.08e-03
+2022-09-17 06:41:18,984 INFO [train.py:885] (1/2) Epoch 3, batch 11100, loss[loss=0.3871, simple_loss=0.4488, pruned_loss=0.1627, over 13727.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07439, over 411.00 utterances.], tot_loss[loss=0.3797, simple_loss=0.4148, pruned_loss=0.1723, over 2778083.33 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07405, over 46725.74 utterances.], batch size: 411, lr: 1.08e-03
+2022-09-17 06:41:48,202 INFO [train.py:885] (1/2) Epoch 3, batch 11150, loss[loss=0.3834, simple_loss=0.4274, pruned_loss=0.1697, over 14370.00 frames. utt_duration=220.7 frames, utt_pad_proportion=0.03628, over 262.00 utterances.], tot_loss[loss=0.3739, simple_loss=0.4097, pruned_loss=0.169, over 2777554.09 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07267, over 45000.72 utterances.], batch size: 262, lr: 1.08e-03
+2022-09-17 06:42:17,509 INFO [train.py:885] (1/2) Epoch 3, batch 11200, loss[loss=0.2001, simple_loss=0.2662, pruned_loss=0.06696, over 13544.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08429, over 50.00 utterances.], tot_loss[loss=0.3735, simple_loss=0.4101, pruned_loss=0.1685, over 2778567.65 frames. utt_duration=248 frames, utt_pad_proportion=0.07239, over 45090.76 utterances.], batch size: 50, lr: 1.08e-03
+2022-09-17 06:42:47,176 INFO [train.py:885] (1/2) Epoch 3, batch 11250, loss[loss=0.4892, simple_loss=0.4918, pruned_loss=0.2433, over 14241.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04243, over 306.00 utterances.], tot_loss[loss=0.3771, simple_loss=0.413, pruned_loss=0.1705, over 2780602.06 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07228, over 45326.19 utterances.], batch size: 306, lr: 1.08e-03
+2022-09-17 06:43:17,083 INFO [train.py:885] (1/2) Epoch 3, batch 11300, loss[loss=0.5022, simple_loss=0.4927, pruned_loss=0.2559, over 14313.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03828, over 210.00 utterances.], tot_loss[loss=0.3805, simple_loss=0.4154, pruned_loss=0.1728, over 2779392.75 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07338, over 46623.03 utterances.], batch size: 210, lr: 1.08e-03
+2022-09-17 06:43:46,884 INFO [train.py:885] (1/2) Epoch 3, batch 11350, loss[loss=0.7197, simple_loss=0.7192, pruned_loss=0.3601, over 12496.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1447, over 810.00 utterances.], tot_loss[loss=0.3825, simple_loss=0.4178, pruned_loss=0.1736, over 2780566.71 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07364, over 47482.82 utterances.], batch size: 810, lr: 1.08e-03
+2022-09-17 06:44:16,418 INFO [train.py:885] (1/2) Epoch 3, batch 11400, loss[loss=0.2981, simple_loss=0.341, pruned_loss=0.1276, over 13951.00 frames. utt_duration=707.8 frames, utt_pad_proportion=0.06373, over 79.00 utterances.], tot_loss[loss=0.3838, simple_loss=0.4188, pruned_loss=0.1744, over 2779488.37 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07351, over 47733.40 utterances.], batch size: 79, lr: 1.07e-03
+2022-09-17 06:44:46,121 INFO [train.py:885] (1/2) Epoch 3, batch 11450, loss[loss=0.4425, simple_loss=0.4608, pruned_loss=0.2122, over 14348.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03627, over 283.00 utterances.], tot_loss[loss=0.3826, simple_loss=0.417, pruned_loss=0.174, over 2783432.35 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07114, over 46301.78 utterances.], batch size: 283, lr: 1.07e-03
+2022-09-17 06:45:15,209 INFO [train.py:885] (1/2) Epoch 3, batch 11500, loss[loss=0.2682, simple_loss=0.313, pruned_loss=0.1117, over 14075.00 frames. utt_duration=805.7 frames, utt_pad_proportion=0.05876, over 70.00 utterances.], tot_loss[loss=0.3805, simple_loss=0.4153, pruned_loss=0.1728, over 2785737.39 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06929, over 45536.94 utterances.], batch size: 70, lr: 1.07e-03
+2022-09-17 06:45:44,722 INFO [train.py:885] (1/2) Epoch 3, batch 11550, loss[loss=0.3762, simple_loss=0.4201, pruned_loss=0.1662, over 14336.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03711, over 210.00 utterances.], tot_loss[loss=0.3813, simple_loss=0.4159, pruned_loss=0.1733, over 2786961.81 frames. utt_duration=244.2 frames, utt_pad_proportion=0.06802, over 45920.26 utterances.], batch size: 210, lr: 1.07e-03
+2022-09-17 06:46:14,664 INFO [train.py:885] (1/2) Epoch 3, batch 11600, loss[loss=0.3733, simple_loss=0.4203, pruned_loss=0.1631, over 14370.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03255, over 244.00 utterances.], tot_loss[loss=0.3765, simple_loss=0.4116, pruned_loss=0.1707, over 2791028.83 frames. utt_duration=258.7 frames, utt_pad_proportion=0.06476, over 43400.56 utterances.], batch size: 244, lr: 1.07e-03
+2022-09-17 06:46:44,073 INFO [train.py:885] (1/2) Epoch 3, batch 11650, loss[loss=0.4865, simple_loss=0.481, pruned_loss=0.2461, over 14356.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03593, over 195.00 utterances.], tot_loss[loss=0.3734, simple_loss=0.4092, pruned_loss=0.1688, over 2791213.96 frames. utt_duration=260.7 frames, utt_pad_proportion=0.06438, over 43074.15 utterances.], batch size: 195, lr: 1.07e-03
+2022-09-17 06:47:13,867 INFO [train.py:885] (1/2) Epoch 3, batch 11700, loss[loss=0.3691, simple_loss=0.4157, pruned_loss=0.1612, over 14359.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03287, over 244.00 utterances.], tot_loss[loss=0.3697, simple_loss=0.4059, pruned_loss=0.1667, over 2787620.63 frames. utt_duration=267 frames, utt_pad_proportion=0.06518, over 41987.55 utterances.], batch size: 244, lr: 1.07e-03
+2022-09-17 06:47:43,240 INFO [train.py:885] (1/2) Epoch 3, batch 11750, loss[loss=0.3729, simple_loss=0.4108, pruned_loss=0.1675, over 14321.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03725, over 180.00 utterances.], tot_loss[loss=0.3714, simple_loss=0.4074, pruned_loss=0.1677, over 2788316.78 frames. utt_duration=264.6 frames, utt_pad_proportion=0.06491, over 42387.08 utterances.], batch size: 180, lr: 1.07e-03
+2022-09-17 06:48:12,936 INFO [train.py:885] (1/2) Epoch 3, batch 11800, loss[loss=0.3421, simple_loss=0.3888, pruned_loss=0.1477, over 14278.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.0397, over 130.00 utterances.], tot_loss[loss=0.3771, simple_loss=0.4121, pruned_loss=0.1711, over 2782023.64 frames. utt_duration=253.5 frames, utt_pad_proportion=0.07052, over 44162.61 utterances.], batch size: 130, lr: 1.07e-03
+2022-09-17 06:48:41,681 INFO [train.py:885] (1/2) Epoch 3, batch 11850, loss[loss=0.2811, simple_loss=0.34, pruned_loss=0.1111, over 14209.00 frames. utt_duration=639.9 frames, utt_pad_proportion=0.04491, over 89.00 utterances.], tot_loss[loss=0.3756, simple_loss=0.4108, pruned_loss=0.1702, over 2783577.84 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06925, over 43359.65 utterances.], batch size: 89, lr: 1.07e-03
+2022-09-17 06:49:11,275 INFO [train.py:885] (1/2) Epoch 3, batch 11900, loss[loss=0.3508, simple_loss=0.3889, pruned_loss=0.1564, over 14238.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04644, over 141.00 utterances.], tot_loss[loss=0.3751, simple_loss=0.4107, pruned_loss=0.1698, over 2789886.72 frames. utt_duration=261.3 frames, utt_pad_proportion=0.06588, over 42956.07 utterances.], batch size: 141, lr: 1.07e-03
+2022-09-17 06:49:40,841 INFO [train.py:885] (1/2) Epoch 3, batch 11950, loss[loss=0.2905, simple_loss=0.3409, pruned_loss=0.1201, over 14216.00 frames. utt_duration=640.4 frames, utt_pad_proportion=0.04561, over 89.00 utterances.], tot_loss[loss=0.3801, simple_loss=0.4144, pruned_loss=0.1729, over 2785475.97 frames. utt_duration=253 frames, utt_pad_proportion=0.07033, over 44289.19 utterances.], batch size: 89, lr: 1.07e-03
+2022-09-17 06:50:10,424 INFO [train.py:885] (1/2) Epoch 3, batch 12000, loss[loss=0.2492, simple_loss=0.275, pruned_loss=0.1117, over 13607.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.0849, over 50.00 utterances.], tot_loss[loss=0.3783, simple_loss=0.4126, pruned_loss=0.172, over 2786112.08 frames. utt_duration=255.6 frames, utt_pad_proportion=0.0694, over 43847.95 utterances.], batch size: 50, lr: 1.07e-03
+2022-09-17 06:50:10,424 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 06:50:14,568 INFO [train.py:914] (1/2) Epoch 3, validation: loss=0.2491, simple_loss=0.3145, pruned_loss=0.0919, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 06:50:44,704 INFO [train.py:885] (1/2) Epoch 3, batch 12050, loss[loss=0.315, simple_loss=0.3738, pruned_loss=0.1281, over 14246.00 frames. utt_duration=524.4 frames, utt_pad_proportion=0.03954, over 109.00 utterances.], tot_loss[loss=0.382, simple_loss=0.4166, pruned_loss=0.1737, over 2782030.21 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07257, over 46003.81 utterances.], batch size: 109, lr: 1.07e-03
+2022-09-17 06:51:13,740 INFO [train.py:885] (1/2) Epoch 3, batch 12100, loss[loss=0.7209, simple_loss=0.7238, pruned_loss=0.3589, over 12480.00 frames. utt_duration=63.17 frames, utt_pad_proportion=0.1464, over 810.00 utterances.], tot_loss[loss=0.3847, simple_loss=0.4187, pruned_loss=0.1753, over 2783130.05 frames. utt_duration=238 frames, utt_pad_proportion=0.0728, over 47068.83 utterances.], batch size: 810, lr: 1.06e-03
+2022-09-17 06:51:43,502 INFO [train.py:885] (1/2) Epoch 3, batch 12150, loss[loss=0.3072, simple_loss=0.3436, pruned_loss=0.1354, over 14055.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.05559, over 98.00 utterances.], tot_loss[loss=0.3811, simple_loss=0.4162, pruned_loss=0.173, over 2780892.18 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07392, over 46736.12 utterances.], batch size: 98, lr: 1.06e-03
+2022-09-17 06:52:13,642 INFO [train.py:885] (1/2) Epoch 3, batch 12200, loss[loss=0.665, simple_loss=0.6873, pruned_loss=0.3214, over 12493.00 frames. utt_duration=63.21 frames, utt_pad_proportion=0.1457, over 811.00 utterances.], tot_loss[loss=0.378, simple_loss=0.4131, pruned_loss=0.1715, over 2780325.56 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07354, over 45880.83 utterances.], batch size: 811, lr: 1.06e-03
+2022-09-17 06:52:49,126 INFO [train.py:885] (1/2) Epoch 3, batch 12250, loss[loss=0.2178, simple_loss=0.2749, pruned_loss=0.08032, over 13446.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.09579, over 50.00 utterances.], tot_loss[loss=0.3842, simple_loss=0.4185, pruned_loss=0.175, over 2781334.09 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07295, over 46892.97 utterances.], batch size: 50, lr: 1.06e-03
+2022-09-17 06:53:18,843 INFO [train.py:885] (1/2) Epoch 3, batch 12300, loss[loss=0.4504, simple_loss=0.4602, pruned_loss=0.2203, over 14328.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03748, over 195.00 utterances.], tot_loss[loss=0.3818, simple_loss=0.4164, pruned_loss=0.1736, over 2781047.30 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07211, over 46316.02 utterances.], batch size: 195, lr: 1.06e-03
+2022-09-17 06:53:47,671 INFO [train.py:885] (1/2) Epoch 3, batch 12350, loss[loss=0.2423, simple_loss=0.3053, pruned_loss=0.08969, over 13941.00 frames. utt_duration=809.4 frames, utt_pad_proportion=0.0577, over 69.00 utterances.], tot_loss[loss=0.3824, simple_loss=0.4161, pruned_loss=0.1744, over 2783620.87 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07126, over 45497.56 utterances.], batch size: 69, lr: 1.06e-03
+2022-09-17 06:54:17,435 INFO [train.py:885] (1/2) Epoch 3, batch 12400, loss[loss=0.3658, simple_loss=0.3998, pruned_loss=0.1659, over 14314.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03719, over 130.00 utterances.], tot_loss[loss=0.3803, simple_loss=0.4145, pruned_loss=0.1731, over 2783767.63 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07097, over 45593.09 utterances.], batch size: 130, lr: 1.06e-03
+2022-09-17 06:54:46,914 INFO [train.py:885] (1/2) Epoch 3, batch 12450, loss[loss=0.3033, simple_loss=0.3195, pruned_loss=0.1435, over 13645.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.07987, over 50.00 utterances.], tot_loss[loss=0.3785, simple_loss=0.4142, pruned_loss=0.1714, over 2784131.02 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07085, over 46131.31 utterances.], batch size: 50, lr: 1.06e-03
+2022-09-17 06:55:16,620 INFO [train.py:885] (1/2) Epoch 3, batch 12500, loss[loss=0.3499, simple_loss=0.3893, pruned_loss=0.1553, over 13985.00 frames. utt_duration=572.2 frames, utt_pad_proportion=0.05894, over 98.00 utterances.], tot_loss[loss=0.3781, simple_loss=0.4143, pruned_loss=0.171, over 2783606.18 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07031, over 45466.60 utterances.], batch size: 98, lr: 1.06e-03
+2022-09-17 06:55:46,288 INFO [train.py:885] (1/2) Epoch 3, batch 12550, loss[loss=0.408, simple_loss=0.44, pruned_loss=0.188, over 14345.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03622, over 210.00 utterances.], tot_loss[loss=0.376, simple_loss=0.4127, pruned_loss=0.1696, over 2779031.17 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07171, over 46168.49 utterances.], batch size: 210, lr: 1.06e-03
+2022-09-17 06:56:14,653 INFO [train.py:885] (1/2) Epoch 3, batch 12600, loss[loss=0.4134, simple_loss=0.4374, pruned_loss=0.1947, over 14354.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03788, over 167.00 utterances.], tot_loss[loss=0.3779, simple_loss=0.4141, pruned_loss=0.1709, over 2784161.09 frames. utt_duration=242.3 frames, utt_pad_proportion=0.06943, over 46240.10 utterances.], batch size: 167, lr: 1.06e-03
+2022-09-17 06:56:33,098 INFO [train.py:885] (1/2) Epoch 4, batch 0, loss[loss=0.3134, simple_loss=0.3685, pruned_loss=0.1292, over 14300.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04024, over 120.00 utterances.], tot_loss[loss=0.3134, simple_loss=0.3685, pruned_loss=0.1292, over 14300.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04024, over 120.00 utterances.], batch size: 120, lr: 1.03e-03
+2022-09-17 06:57:02,345 INFO [train.py:885] (1/2) Epoch 4, batch 50, loss[loss=0.4004, simple_loss=0.4617, pruned_loss=0.1696, over 13777.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07109, over 411.00 utterances.], tot_loss[loss=0.3751, simple_loss=0.4147, pruned_loss=0.1678, over 630952.15 frames. utt_duration=238.1 frames, utt_pad_proportion=0.06419, over 10662.78 utterances.], batch size: 411, lr: 1.03e-03
+2022-09-17 06:57:31,497 INFO [train.py:885] (1/2) Epoch 4, batch 100, loss[loss=0.5225, simple_loss=0.5119, pruned_loss=0.2665, over 14219.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0438, over 306.00 utterances.], tot_loss[loss=0.383, simple_loss=0.4188, pruned_loss=0.1736, over 1108531.35 frames. utt_duration=236 frames, utt_pad_proportion=0.06513, over 18904.45 utterances.], batch size: 306, lr: 1.03e-03
+2022-09-17 06:58:01,691 INFO [train.py:885] (1/2) Epoch 4, batch 150, loss[loss=0.2889, simple_loss=0.3009, pruned_loss=0.1385, over 12308.00 frames. utt_duration=2053 frames, utt_pad_proportion=0.1746, over 24.00 utterances.], tot_loss[loss=0.3817, simple_loss=0.4167, pruned_loss=0.1734, over 1477011.92 frames. utt_duration=234.7 frames, utt_pad_proportion=0.0678, over 25329.12 utterances.], batch size: 24, lr: 1.02e-03
+2022-09-17 06:58:31,229 INFO [train.py:885] (1/2) Epoch 4, batch 200, loss[loss=0.2669, simple_loss=0.3312, pruned_loss=0.1013, over 14014.00 frames. utt_duration=573.5 frames, utt_pad_proportion=0.05831, over 98.00 utterances.], tot_loss[loss=0.372, simple_loss=0.4092, pruned_loss=0.1674, over 1760694.61 frames. utt_duration=242.5 frames, utt_pad_proportion=0.0721, over 29224.67 utterances.], batch size: 98, lr: 1.02e-03
+2022-09-17 06:59:01,069 INFO [train.py:885] (1/2) Epoch 4, batch 250, loss[loss=0.3354, simple_loss=0.3785, pruned_loss=0.1462, over 14272.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04379, over 141.00 utterances.], tot_loss[loss=0.3802, simple_loss=0.4177, pruned_loss=0.1714, over 1983345.24 frames. utt_duration=224.8 frames, utt_pad_proportion=0.07502, over 35523.07 utterances.], batch size: 141, lr: 1.02e-03
+2022-09-17 06:59:29,618 INFO [train.py:885] (1/2) Epoch 4, batch 300, loss[loss=0.3497, simple_loss=0.3842, pruned_loss=0.1576, over 14284.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.04295, over 141.00 utterances.], tot_loss[loss=0.3712, simple_loss=0.4094, pruned_loss=0.1665, over 2163859.06 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07096, over 35814.21 utterances.], batch size: 141, lr: 1.02e-03
+2022-09-17 06:59:59,695 INFO [train.py:885] (1/2) Epoch 4, batch 350, loss[loss=0.3411, simple_loss=0.3563, pruned_loss=0.1629, over 13870.00 frames. utt_duration=805.5 frames, utt_pad_proportion=0.06232, over 69.00 utterances.], tot_loss[loss=0.3735, simple_loss=0.4123, pruned_loss=0.1673, over 2294886.17 frames. utt_duration=229.1 frames, utt_pad_proportion=0.07667, over 40324.61 utterances.], batch size: 69, lr: 1.02e-03
+2022-09-17 07:00:29,403 INFO [train.py:885] (1/2) Epoch 4, batch 400, loss[loss=0.3237, simple_loss=0.3581, pruned_loss=0.1447, over 14079.00 frames. utt_duration=576 frames, utt_pad_proportion=0.0511, over 98.00 utterances.], tot_loss[loss=0.38, simple_loss=0.4177, pruned_loss=0.1711, over 2404805.88 frames. utt_duration=223.9 frames, utt_pad_proportion=0.07544, over 43247.47 utterances.], batch size: 98, lr: 1.02e-03
+2022-09-17 07:00:59,118 INFO [train.py:885] (1/2) Epoch 4, batch 450, loss[loss=0.3099, simple_loss=0.3625, pruned_loss=0.1287, over 14159.00 frames. utt_duration=579.4 frames, utt_pad_proportion=0.04861, over 98.00 utterances.], tot_loss[loss=0.377, simple_loss=0.4147, pruned_loss=0.1696, over 2485207.16 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07332, over 42885.43 utterances.], batch size: 98, lr: 1.02e-03
+2022-09-17 07:01:28,542 INFO [train.py:885] (1/2) Epoch 4, batch 500, loss[loss=0.1762, simple_loss=0.2237, pruned_loss=0.0644, over 13205.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1079, over 33.00 utterances.], tot_loss[loss=0.3825, simple_loss=0.4189, pruned_loss=0.173, over 2550136.39 frames. utt_duration=228.6 frames, utt_pad_proportion=0.0737, over 44919.33 utterances.], batch size: 33, lr: 1.02e-03
+2022-09-17 07:01:58,296 INFO [train.py:885] (1/2) Epoch 4, batch 550, loss[loss=0.2336, simple_loss=0.3004, pruned_loss=0.08339, over 13448.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.08626, over 50.00 utterances.], tot_loss[loss=0.3819, simple_loss=0.4185, pruned_loss=0.1726, over 2600368.81 frames. utt_duration=230.3 frames, utt_pad_proportion=0.07379, over 45450.95 utterances.], batch size: 50, lr: 1.02e-03
+2022-09-17 07:02:28,038 INFO [train.py:885] (1/2) Epoch 4, batch 600, loss[loss=0.3349, simple_loss=0.3822, pruned_loss=0.1438, over 14245.00 frames. utt_duration=439.7 frames, utt_pad_proportion=0.04201, over 130.00 utterances.], tot_loss[loss=0.3859, simple_loss=0.422, pruned_loss=0.1749, over 2645464.50 frames. utt_duration=227.2 frames, utt_pad_proportion=0.07222, over 46882.21 utterances.], batch size: 130, lr: 1.02e-03
+2022-09-17 07:02:57,102 INFO [train.py:885] (1/2) Epoch 4, batch 650, loss[loss=0.2611, simple_loss=0.3181, pruned_loss=0.1021, over 14005.00 frames. utt_duration=710.4 frames, utt_pad_proportion=0.05533, over 79.00 utterances.], tot_loss[loss=0.3792, simple_loss=0.4162, pruned_loss=0.1711, over 2673003.41 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07264, over 45480.26 utterances.], batch size: 79, lr: 1.02e-03
+2022-09-17 07:03:26,194 INFO [train.py:885] (1/2) Epoch 4, batch 700, loss[loss=0.5342, simple_loss=0.5243, pruned_loss=0.2721, over 14227.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04282, over 306.00 utterances.], tot_loss[loss=0.3774, simple_loss=0.4146, pruned_loss=0.1701, over 2696924.56 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07265, over 45662.90 utterances.], batch size: 306, lr: 1.02e-03
+2022-09-17 07:03:55,934 INFO [train.py:885] (1/2) Epoch 4, batch 750, loss[loss=0.7693, simple_loss=0.748, pruned_loss=0.3954, over 12405.00 frames. utt_duration=62.8 frames, utt_pad_proportion=0.1514, over 810.00 utterances.], tot_loss[loss=0.3713, simple_loss=0.4095, pruned_loss=0.1665, over 2717941.19 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07121, over 44013.62 utterances.], batch size: 810, lr: 1.02e-03
+2022-09-17 07:04:25,374 INFO [train.py:885] (1/2) Epoch 4, batch 800, loss[loss=0.3808, simple_loss=0.4398, pruned_loss=0.1609, over 14005.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.0556, over 365.00 utterances.], tot_loss[loss=0.3733, simple_loss=0.4109, pruned_loss=0.1678, over 2738055.50 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06956, over 44436.89 utterances.], batch size: 365, lr: 1.02e-03
+2022-09-17 07:04:54,473 INFO [train.py:885] (1/2) Epoch 4, batch 850, loss[loss=0.3949, simple_loss=0.4582, pruned_loss=0.1658, over 13770.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07169, over 411.00 utterances.], tot_loss[loss=0.3713, simple_loss=0.4083, pruned_loss=0.1671, over 2744925.79 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06929, over 43681.04 utterances.], batch size: 411, lr: 1.02e-03
+2022-09-17 07:05:24,056 INFO [train.py:885] (1/2) Epoch 4, batch 900, loss[loss=0.3018, simple_loss=0.3446, pruned_loss=0.1295, over 14247.00 frames. utt_duration=641.8 frames, utt_pad_proportion=0.04489, over 89.00 utterances.], tot_loss[loss=0.3756, simple_loss=0.4119, pruned_loss=0.1696, over 2752509.41 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07193, over 44818.81 utterances.], batch size: 89, lr: 1.01e-03
+2022-09-17 07:05:53,881 INFO [train.py:885] (1/2) Epoch 4, batch 950, loss[loss=0.5224, simple_loss=0.5484, pruned_loss=0.2482, over 13773.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07134, over 411.00 utterances.], tot_loss[loss=0.3775, simple_loss=0.4139, pruned_loss=0.1705, over 2756662.80 frames. utt_duration=242.4 frames, utt_pad_proportion=0.0721, over 45767.65 utterances.], batch size: 411, lr: 1.01e-03
+2022-09-17 07:06:23,568 INFO [train.py:885] (1/2) Epoch 4, batch 1000, loss[loss=0.416, simple_loss=0.4439, pruned_loss=0.194, over 14353.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.0366, over 283.00 utterances.], tot_loss[loss=0.383, simple_loss=0.4181, pruned_loss=0.1739, over 2764267.07 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07197, over 46655.13 utterances.], batch size: 283, lr: 1.01e-03
+2022-09-17 07:06:52,933 INFO [train.py:885] (1/2) Epoch 4, batch 1050, loss[loss=0.3604, simple_loss=0.4053, pruned_loss=0.1578, over 14342.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03921, over 167.00 utterances.], tot_loss[loss=0.3841, simple_loss=0.4204, pruned_loss=0.1739, over 2765769.72 frames. utt_duration=227.4 frames, utt_pad_proportion=0.07444, over 48970.38 utterances.], batch size: 167, lr: 1.01e-03
+2022-09-17 07:07:22,704 INFO [train.py:885] (1/2) Epoch 4, batch 1100, loss[loss=0.2596, simple_loss=0.3265, pruned_loss=0.09639, over 11933.00 frames. utt_duration=1990 frames, utt_pad_proportion=0.1201, over 24.00 utterances.], tot_loss[loss=0.3772, simple_loss=0.4136, pruned_loss=0.1704, over 2766326.12 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07451, over 46209.96 utterances.], batch size: 24, lr: 1.01e-03
+2022-09-17 07:07:52,741 INFO [train.py:885] (1/2) Epoch 4, batch 1150, loss[loss=0.4005, simple_loss=0.4369, pruned_loss=0.1821, over 14328.00 frames. utt_duration=256.1 frames, utt_pad_proportion=0.03704, over 225.00 utterances.], tot_loss[loss=0.3755, simple_loss=0.4118, pruned_loss=0.1696, over 2770702.19 frames. utt_duration=245 frames, utt_pad_proportion=0.07411, over 45506.76 utterances.], batch size: 225, lr: 1.01e-03
+2022-09-17 07:08:22,151 INFO [train.py:885] (1/2) Epoch 4, batch 1200, loss[loss=0.223, simple_loss=0.2729, pruned_loss=0.08658, over 13116.00 frames. utt_duration=1591 frames, utt_pad_proportion=0.1183, over 33.00 utterances.], tot_loss[loss=0.373, simple_loss=0.4098, pruned_loss=0.1681, over 2774661.89 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07229, over 44784.04 utterances.], batch size: 33, lr: 1.01e-03
+2022-09-17 07:08:51,567 INFO [train.py:885] (1/2) Epoch 4, batch 1250, loss[loss=0.3737, simple_loss=0.4139, pruned_loss=0.1668, over 14335.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03719, over 210.00 utterances.], tot_loss[loss=0.3712, simple_loss=0.4091, pruned_loss=0.1666, over 2778170.52 frames. utt_duration=250 frames, utt_pad_proportion=0.0718, over 44715.10 utterances.], batch size: 210, lr: 1.01e-03
+2022-09-17 07:09:21,381 INFO [train.py:885] (1/2) Epoch 4, batch 1300, loss[loss=0.2971, simple_loss=0.3597, pruned_loss=0.1172, over 14198.00 frames. utt_duration=639.3 frames, utt_pad_proportion=0.04717, over 89.00 utterances.], tot_loss[loss=0.3695, simple_loss=0.407, pruned_loss=0.166, over 2777016.56 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07203, over 44056.26 utterances.], batch size: 89, lr: 1.01e-03
+2022-09-17 07:09:50,930 INFO [train.py:885] (1/2) Epoch 4, batch 1350, loss[loss=0.4821, simple_loss=0.5327, pruned_loss=0.2157, over 13644.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.07704, over 560.00 utterances.], tot_loss[loss=0.3716, simple_loss=0.409, pruned_loss=0.1671, over 2779775.06 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07087, over 45073.43 utterances.], batch size: 560, lr: 1.01e-03
+2022-09-17 07:10:19,999 INFO [train.py:885] (1/2) Epoch 4, batch 1400, loss[loss=0.6012, simple_loss=0.6165, pruned_loss=0.2929, over 13219.00 frames. utt_duration=82.52 frames, utt_pad_proportion=0.103, over 653.00 utterances.], tot_loss[loss=0.371, simple_loss=0.4082, pruned_loss=0.1669, over 2783677.93 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06827, over 44201.83 utterances.], batch size: 653, lr: 1.01e-03
+2022-09-17 07:10:49,626 INFO [train.py:885] (1/2) Epoch 4, batch 1450, loss[loss=0.4386, simple_loss=0.4696, pruned_loss=0.2038, over 14283.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03998, over 225.00 utterances.], tot_loss[loss=0.3695, simple_loss=0.4075, pruned_loss=0.1657, over 2785869.87 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06714, over 44331.00 utterances.], batch size: 225, lr: 1.01e-03
+2022-09-17 07:11:19,262 INFO [train.py:885] (1/2) Epoch 4, batch 1500, loss[loss=0.1173, simple_loss=0.1492, pruned_loss=0.04273, over 12537.00 frames. utt_duration=2091 frames, utt_pad_proportion=0.1387, over 24.00 utterances.], tot_loss[loss=0.3742, simple_loss=0.4116, pruned_loss=0.1684, over 2782382.73 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07034, over 46603.74 utterances.], batch size: 24, lr: 1.01e-03
+2022-09-17 07:11:47,979 INFO [train.py:885] (1/2) Epoch 4, batch 1550, loss[loss=0.4095, simple_loss=0.46, pruned_loss=0.1795, over 13991.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05635, over 365.00 utterances.], tot_loss[loss=0.3757, simple_loss=0.4129, pruned_loss=0.1692, over 2786407.58 frames. utt_duration=240.2 frames, utt_pad_proportion=0.06858, over 46695.77 utterances.], batch size: 365, lr: 1.01e-03
+2022-09-17 07:12:17,709 INFO [train.py:885] (1/2) Epoch 4, batch 1600, loss[loss=0.4613, simple_loss=0.5097, pruned_loss=0.2065, over 13618.00 frames. utt_duration=98.69 frames, utt_pad_proportion=0.07765, over 560.00 utterances.], tot_loss[loss=0.3734, simple_loss=0.4114, pruned_loss=0.1677, over 2783622.59 frames. utt_duration=241 frames, utt_pad_proportion=0.069, over 46479.81 utterances.], batch size: 560, lr: 1.01e-03
+2022-09-17 07:12:46,907 INFO [train.py:885] (1/2) Epoch 4, batch 1650, loss[loss=0.3689, simple_loss=0.4178, pruned_loss=0.16, over 14351.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03617, over 210.00 utterances.], tot_loss[loss=0.376, simple_loss=0.4134, pruned_loss=0.1693, over 2784565.49 frames. utt_duration=239.9 frames, utt_pad_proportion=0.06933, over 46718.20 utterances.], batch size: 210, lr: 1.01e-03
+2022-09-17 07:13:16,371 INFO [train.py:885] (1/2) Epoch 4, batch 1700, loss[loss=0.2463, simple_loss=0.3084, pruned_loss=0.09213, over 13753.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.08053, over 51.00 utterances.], tot_loss[loss=0.3777, simple_loss=0.4147, pruned_loss=0.1703, over 2778824.11 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07217, over 47741.78 utterances.], batch size: 51, lr: 1.00e-03
+2022-09-17 07:13:45,941 INFO [train.py:885] (1/2) Epoch 4, batch 1750, loss[loss=0.2923, simple_loss=0.3385, pruned_loss=0.1231, over 14008.00 frames. utt_duration=710.5 frames, utt_pad_proportion=0.05893, over 79.00 utterances.], tot_loss[loss=0.375, simple_loss=0.4126, pruned_loss=0.1687, over 2779695.67 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07261, over 47109.94 utterances.], batch size: 79, lr: 1.00e-03
+2022-09-17 07:14:24,098 INFO [train.py:885] (1/2) Epoch 4, batch 1800, loss[loss=0.4549, simple_loss=0.4593, pruned_loss=0.2253, over 14282.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03968, over 180.00 utterances.], tot_loss[loss=0.3773, simple_loss=0.4154, pruned_loss=0.1696, over 2780865.39 frames. utt_duration=230.5 frames, utt_pad_proportion=0.07252, over 48565.64 utterances.], batch size: 180, lr: 1.00e-03
+2022-09-17 07:14:53,653 INFO [train.py:885] (1/2) Epoch 4, batch 1850, loss[loss=0.4392, simple_loss=0.4996, pruned_loss=0.1894, over 13642.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08068, over 477.00 utterances.], tot_loss[loss=0.3781, simple_loss=0.4152, pruned_loss=0.1705, over 2784048.26 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07081, over 47572.52 utterances.], batch size: 477, lr: 1.00e-03
+2022-09-17 07:15:23,483 INFO [train.py:885] (1/2) Epoch 4, batch 1900, loss[loss=0.3637, simple_loss=0.4114, pruned_loss=0.158, over 14347.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03777, over 262.00 utterances.], tot_loss[loss=0.3784, simple_loss=0.4157, pruned_loss=0.1706, over 2782342.25 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07331, over 48502.83 utterances.], batch size: 262, lr: 1.00e-03
+2022-09-17 07:15:53,202 INFO [train.py:885] (1/2) Epoch 4, batch 1950, loss[loss=0.4888, simple_loss=0.4972, pruned_loss=0.2402, over 14311.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03904, over 283.00 utterances.], tot_loss[loss=0.3765, simple_loss=0.4143, pruned_loss=0.1694, over 2790498.41 frames. utt_duration=237.7 frames, utt_pad_proportion=0.06979, over 47242.62 utterances.], batch size: 283, lr: 1.00e-03
+2022-09-17 07:16:23,003 INFO [train.py:885] (1/2) Epoch 4, batch 2000, loss[loss=0.3096, simple_loss=0.3632, pruned_loss=0.128, over 14141.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.04695, over 109.00 utterances.], tot_loss[loss=0.3752, simple_loss=0.4125, pruned_loss=0.1689, over 2788228.36 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07002, over 45898.76 utterances.], batch size: 109, lr: 1.00e-03
+2022-09-17 07:16:52,366 INFO [train.py:885] (1/2) Epoch 4, batch 2050, loss[loss=0.4763, simple_loss=0.5347, pruned_loss=0.2089, over 13170.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.3723, simple_loss=0.4103, pruned_loss=0.1672, over 2782471.43 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07245, over 45928.54 utterances.], batch size: 653, lr: 1.00e-03
+2022-09-17 07:17:22,201 INFO [train.py:885] (1/2) Epoch 4, batch 2100, loss[loss=0.3182, simple_loss=0.3695, pruned_loss=0.1334, over 14209.00 frames. utt_duration=518.2 frames, utt_pad_proportion=0.04922, over 110.00 utterances.], tot_loss[loss=0.3707, simple_loss=0.409, pruned_loss=0.1662, over 2782362.39 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07197, over 45374.38 utterances.], batch size: 110, lr: 1.00e-03
+2022-09-17 07:17:52,018 INFO [train.py:885] (1/2) Epoch 4, batch 2150, loss[loss=0.4099, simple_loss=0.4804, pruned_loss=0.1696, over 13642.00 frames. utt_duration=116 frames, utt_pad_proportion=0.0797, over 477.00 utterances.], tot_loss[loss=0.3725, simple_loss=0.4114, pruned_loss=0.1668, over 2780666.12 frames. utt_duration=240.8 frames, utt_pad_proportion=0.0738, over 46476.50 utterances.], batch size: 477, lr: 9.99e-04
+2022-09-17 07:18:21,494 INFO [train.py:885] (1/2) Epoch 4, batch 2200, loss[loss=0.4625, simple_loss=0.4865, pruned_loss=0.2192, over 14005.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05506, over 365.00 utterances.], tot_loss[loss=0.3716, simple_loss=0.4097, pruned_loss=0.1667, over 2780747.41 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07384, over 45323.73 utterances.], batch size: 365, lr: 9.98e-04
+2022-09-17 07:18:51,002 INFO [train.py:885] (1/2) Epoch 4, batch 2250, loss[loss=0.2193, simple_loss=0.2558, pruned_loss=0.09138, over 13277.00 frames. utt_duration=1611 frames, utt_pad_proportion=0.1076, over 33.00 utterances.], tot_loss[loss=0.3728, simple_loss=0.4109, pruned_loss=0.1673, over 2780131.13 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07333, over 45744.71 utterances.], batch size: 33, lr: 9.98e-04
+2022-09-17 07:19:20,592 INFO [train.py:885] (1/2) Epoch 4, batch 2300, loss[loss=0.421, simple_loss=0.4777, pruned_loss=0.1822, over 13630.00 frames. utt_duration=98.79 frames, utt_pad_proportion=0.07677, over 560.00 utterances.], tot_loss[loss=0.3699, simple_loss=0.4084, pruned_loss=0.1657, over 2777418.68 frames. utt_duration=242.9 frames, utt_pad_proportion=0.0725, over 46013.21 utterances.], batch size: 560, lr: 9.97e-04
+2022-09-17 07:19:50,616 INFO [train.py:885] (1/2) Epoch 4, batch 2350, loss[loss=0.4048, simple_loss=0.4535, pruned_loss=0.178, over 14056.00 frames. utt_duration=155.4 frames, utt_pad_proportion=0.05264, over 365.00 utterances.], tot_loss[loss=0.3681, simple_loss=0.4076, pruned_loss=0.1644, over 2776844.77 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07311, over 45852.69 utterances.], batch size: 365, lr: 9.97e-04
+2022-09-17 07:20:19,738 INFO [train.py:885] (1/2) Epoch 4, batch 2400, loss[loss=0.2473, simple_loss=0.3093, pruned_loss=0.09269, over 14118.00 frames. utt_duration=808.1 frames, utt_pad_proportion=0.05701, over 70.00 utterances.], tot_loss[loss=0.3664, simple_loss=0.406, pruned_loss=0.1634, over 2783538.41 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07132, over 45054.66 utterances.], batch size: 70, lr: 9.96e-04
+2022-09-17 07:20:49,551 INFO [train.py:885] (1/2) Epoch 4, batch 2450, loss[loss=0.2316, simple_loss=0.2815, pruned_loss=0.09086, over 13965.00 frames. utt_duration=708.6 frames, utt_pad_proportion=0.06145, over 79.00 utterances.], tot_loss[loss=0.3682, simple_loss=0.407, pruned_loss=0.1647, over 2783560.79 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07115, over 44486.96 utterances.], batch size: 79, lr: 9.95e-04
+2022-09-17 07:21:19,291 INFO [train.py:885] (1/2) Epoch 4, batch 2500, loss[loss=0.2113, simple_loss=0.2557, pruned_loss=0.08342, over 12144.00 frames. utt_duration=2026 frames, utt_pad_proportion=0.1877, over 24.00 utterances.], tot_loss[loss=0.3679, simple_loss=0.4066, pruned_loss=0.1646, over 2776857.31 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07243, over 44418.85 utterances.], batch size: 24, lr: 9.95e-04
+2022-09-17 07:21:48,978 INFO [train.py:885] (1/2) Epoch 4, batch 2550, loss[loss=0.339, simple_loss=0.404, pruned_loss=0.137, over 14372.00 frames. utt_duration=296.3 frames, utt_pad_proportion=0.03469, over 195.00 utterances.], tot_loss[loss=0.3701, simple_loss=0.4087, pruned_loss=0.1657, over 2775280.53 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07264, over 45620.21 utterances.], batch size: 195, lr: 9.94e-04
+2022-09-17 07:22:18,260 INFO [train.py:885] (1/2) Epoch 4, batch 2600, loss[loss=0.2838, simple_loss=0.3323, pruned_loss=0.1176, over 14153.00 frames. utt_duration=521 frames, utt_pad_proportion=0.04587, over 109.00 utterances.], tot_loss[loss=0.3682, simple_loss=0.4063, pruned_loss=0.165, over 2773242.68 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07278, over 45039.97 utterances.], batch size: 109, lr: 9.94e-04
+2022-09-17 07:22:48,158 INFO [train.py:885] (1/2) Epoch 4, batch 2650, loss[loss=0.2494, simple_loss=0.293, pruned_loss=0.1028, over 13716.00 frames. utt_duration=1099 frames, utt_pad_proportion=0.07735, over 50.00 utterances.], tot_loss[loss=0.364, simple_loss=0.4035, pruned_loss=0.1622, over 2776569.72 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07197, over 44584.43 utterances.], batch size: 50, lr: 9.93e-04
+2022-09-17 07:23:17,217 INFO [train.py:885] (1/2) Epoch 4, batch 2700, loss[loss=0.4781, simple_loss=0.537, pruned_loss=0.2096, over 13129.00 frames. utt_duration=82.05 frames, utt_pad_proportion=0.1082, over 653.00 utterances.], tot_loss[loss=0.3705, simple_loss=0.4094, pruned_loss=0.1658, over 2777973.95 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07331, over 46692.28 utterances.], batch size: 653, lr: 9.92e-04
+2022-09-17 07:23:45,724 INFO [train.py:885] (1/2) Epoch 4, batch 2750, loss[loss=0.3298, simple_loss=0.3865, pruned_loss=0.1365, over 14324.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04028, over 167.00 utterances.], tot_loss[loss=0.3686, simple_loss=0.4075, pruned_loss=0.1648, over 2784701.69 frames. utt_duration=249 frames, utt_pad_proportion=0.07118, over 45003.31 utterances.], batch size: 167, lr: 9.92e-04
+2022-09-17 07:24:15,828 INFO [train.py:885] (1/2) Epoch 4, batch 2800, loss[loss=0.3735, simple_loss=0.4231, pruned_loss=0.1619, over 14321.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03877, over 283.00 utterances.], tot_loss[loss=0.3673, simple_loss=0.4067, pruned_loss=0.164, over 2780123.84 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07318, over 45416.37 utterances.], batch size: 283, lr: 9.91e-04
+2022-09-17 07:24:45,218 INFO [train.py:885] (1/2) Epoch 4, batch 2850, loss[loss=0.3244, simple_loss=0.357, pruned_loss=0.1459, over 14054.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.05571, over 98.00 utterances.], tot_loss[loss=0.3606, simple_loss=0.4002, pruned_loss=0.1605, over 2776446.57 frames. utt_duration=256.6 frames, utt_pad_proportion=0.07148, over 43525.08 utterances.], batch size: 98, lr: 9.91e-04
+2022-09-17 07:25:14,997 INFO [train.py:885] (1/2) Epoch 4, batch 2900, loss[loss=0.2504, simple_loss=0.2975, pruned_loss=0.1017, over 13970.00 frames. utt_duration=708.7 frames, utt_pad_proportion=0.06257, over 79.00 utterances.], tot_loss[loss=0.3688, simple_loss=0.4074, pruned_loss=0.1651, over 2777079.49 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07316, over 45711.08 utterances.], batch size: 79, lr: 9.90e-04
+2022-09-17 07:25:44,575 INFO [train.py:885] (1/2) Epoch 4, batch 2950, loss[loss=0.3223, simple_loss=0.335, pruned_loss=0.1547, over 12082.00 frames. utt_duration=2015 frames, utt_pad_proportion=0.1794, over 24.00 utterances.], tot_loss[loss=0.3712, simple_loss=0.4091, pruned_loss=0.1666, over 2777280.91 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07403, over 45848.87 utterances.], batch size: 24, lr: 9.89e-04
+2022-09-17 07:26:14,302 INFO [train.py:885] (1/2) Epoch 4, batch 3000, loss[loss=0.2329, simple_loss=0.2747, pruned_loss=0.09551, over 12492.00 frames. utt_duration=2000 frames, utt_pad_proportion=0.1605, over 25.00 utterances.], tot_loss[loss=0.3754, simple_loss=0.4132, pruned_loss=0.1688, over 2776824.56 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07466, over 47254.51 utterances.], batch size: 25, lr: 9.89e-04
+2022-09-17 07:26:14,303 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 07:26:18,437 INFO [train.py:914] (1/2) Epoch 4, validation: loss=0.2377, simple_loss=0.3059, pruned_loss=0.08477, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 07:26:47,621 INFO [train.py:885] (1/2) Epoch 4, batch 3050, loss[loss=0.3988, simple_loss=0.4389, pruned_loss=0.1793, over 14340.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03714, over 283.00 utterances.], tot_loss[loss=0.3741, simple_loss=0.4127, pruned_loss=0.1678, over 2779282.03 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07391, over 47224.17 utterances.], batch size: 283, lr: 9.88e-04
+2022-09-17 07:27:17,296 INFO [train.py:885] (1/2) Epoch 4, batch 3100, loss[loss=0.2788, simple_loss=0.3093, pruned_loss=0.1241, over 13282.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.09405, over 41.00 utterances.], tot_loss[loss=0.3681, simple_loss=0.4069, pruned_loss=0.1646, over 2782130.71 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07119, over 45233.60 utterances.], batch size: 41, lr: 9.88e-04
+2022-09-17 07:27:47,450 INFO [train.py:885] (1/2) Epoch 4, batch 3150, loss[loss=0.468, simple_loss=0.4787, pruned_loss=0.2286, over 14248.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04221, over 335.00 utterances.], tot_loss[loss=0.367, simple_loss=0.4056, pruned_loss=0.1641, over 2780280.11 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07108, over 44765.66 utterances.], batch size: 335, lr: 9.87e-04
+2022-09-17 07:28:17,239 INFO [train.py:885] (1/2) Epoch 4, batch 3200, loss[loss=0.3909, simple_loss=0.4566, pruned_loss=0.1625, over 13775.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07159, over 411.00 utterances.], tot_loss[loss=0.3733, simple_loss=0.4113, pruned_loss=0.1676, over 2779672.53 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07352, over 46668.79 utterances.], batch size: 411, lr: 9.86e-04
+2022-09-17 07:28:46,501 INFO [train.py:885] (1/2) Epoch 4, batch 3250, loss[loss=0.4368, simple_loss=0.4548, pruned_loss=0.2094, over 14252.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04217, over 225.00 utterances.], tot_loss[loss=0.3675, simple_loss=0.4053, pruned_loss=0.1649, over 2781489.71 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07113, over 44197.34 utterances.], batch size: 225, lr: 9.86e-04
+2022-09-17 07:29:16,512 INFO [train.py:885] (1/2) Epoch 4, batch 3300, loss[loss=0.4052, simple_loss=0.4376, pruned_loss=0.1864, over 14317.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03908, over 262.00 utterances.], tot_loss[loss=0.366, simple_loss=0.4045, pruned_loss=0.1637, over 2780156.96 frames. utt_duration=256 frames, utt_pad_proportion=0.07139, over 43692.61 utterances.], batch size: 262, lr: 9.85e-04
+2022-09-17 07:29:45,719 INFO [train.py:885] (1/2) Epoch 4, batch 3350, loss[loss=0.4395, simple_loss=0.4616, pruned_loss=0.2087, over 14180.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04602, over 306.00 utterances.], tot_loss[loss=0.3686, simple_loss=0.4069, pruned_loss=0.1651, over 2781496.94 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07102, over 44188.53 utterances.], batch size: 306, lr: 9.85e-04
+2022-09-17 07:30:15,142 INFO [train.py:885] (1/2) Epoch 4, batch 3400, loss[loss=0.3024, simple_loss=0.3542, pruned_loss=0.1253, over 14220.00 frames. utt_duration=523.3 frames, utt_pad_proportion=0.04157, over 109.00 utterances.], tot_loss[loss=0.3718, simple_loss=0.4096, pruned_loss=0.167, over 2783089.15 frames. utt_duration=250 frames, utt_pad_proportion=0.07092, over 44802.41 utterances.], batch size: 109, lr: 9.84e-04
+2022-09-17 07:30:44,441 INFO [train.py:885] (1/2) Epoch 4, batch 3450, loss[loss=0.3239, simple_loss=0.3785, pruned_loss=0.1347, over 14295.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03877, over 180.00 utterances.], tot_loss[loss=0.3726, simple_loss=0.4104, pruned_loss=0.1674, over 2784404.50 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06869, over 45041.25 utterances.], batch size: 180, lr: 9.83e-04
+2022-09-17 07:31:14,478 INFO [train.py:885] (1/2) Epoch 4, batch 3500, loss[loss=0.3666, simple_loss=0.4148, pruned_loss=0.1592, over 14313.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03897, over 283.00 utterances.], tot_loss[loss=0.3753, simple_loss=0.4133, pruned_loss=0.1686, over 2781864.11 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07002, over 46803.19 utterances.], batch size: 283, lr: 9.83e-04
+2022-09-17 07:31:43,857 INFO [train.py:885] (1/2) Epoch 4, batch 3550, loss[loss=0.3573, simple_loss=0.4111, pruned_loss=0.1517, over 14355.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03575, over 195.00 utterances.], tot_loss[loss=0.3738, simple_loss=0.4122, pruned_loss=0.1677, over 2785141.85 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06973, over 46237.09 utterances.], batch size: 195, lr: 9.82e-04
+2022-09-17 07:32:13,753 INFO [train.py:885] (1/2) Epoch 4, batch 3600, loss[loss=0.4282, simple_loss=0.4482, pruned_loss=0.204, over 14210.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04452, over 306.00 utterances.], tot_loss[loss=0.3682, simple_loss=0.4073, pruned_loss=0.1646, over 2783835.10 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06916, over 44885.82 utterances.], batch size: 306, lr: 9.82e-04
+2022-09-17 07:32:43,176 INFO [train.py:885] (1/2) Epoch 4, batch 3650, loss[loss=0.553, simple_loss=0.581, pruned_loss=0.2625, over 13168.00 frames. utt_duration=82.16 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.369, simple_loss=0.4077, pruned_loss=0.1652, over 2780765.19 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06946, over 44851.83 utterances.], batch size: 653, lr: 9.81e-04
+2022-09-17 07:33:12,807 INFO [train.py:885] (1/2) Epoch 4, batch 3700, loss[loss=0.3841, simple_loss=0.4423, pruned_loss=0.163, over 13977.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.057, over 365.00 utterances.], tot_loss[loss=0.3689, simple_loss=0.4075, pruned_loss=0.1651, over 2780768.40 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06887, over 45099.62 utterances.], batch size: 365, lr: 9.81e-04
+2022-09-17 07:33:42,352 INFO [train.py:885] (1/2) Epoch 4, batch 3750, loss[loss=0.4235, simple_loss=0.4849, pruned_loss=0.1811, over 13640.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08046, over 477.00 utterances.], tot_loss[loss=0.3695, simple_loss=0.4084, pruned_loss=0.1653, over 2780186.72 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06878, over 45495.83 utterances.], batch size: 477, lr: 9.80e-04
+2022-09-17 07:34:12,112 INFO [train.py:885] (1/2) Epoch 4, batch 3800, loss[loss=0.348, simple_loss=0.401, pruned_loss=0.1475, over 14338.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.03668, over 226.00 utterances.], tot_loss[loss=0.3694, simple_loss=0.4089, pruned_loss=0.1649, over 2774534.57 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07266, over 46401.28 utterances.], batch size: 226, lr: 9.79e-04
+2022-09-17 07:34:41,522 INFO [train.py:885] (1/2) Epoch 4, batch 3850, loss[loss=0.2826, simple_loss=0.3447, pruned_loss=0.1103, over 14132.00 frames. utt_duration=578.3 frames, utt_pad_proportion=0.05202, over 98.00 utterances.], tot_loss[loss=0.3652, simple_loss=0.4044, pruned_loss=0.163, over 2773807.52 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07137, over 44445.50 utterances.], batch size: 98, lr: 9.79e-04
+2022-09-17 07:35:10,868 INFO [train.py:885] (1/2) Epoch 4, batch 3900, loss[loss=0.4906, simple_loss=0.5295, pruned_loss=0.2259, over 13732.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07386, over 411.00 utterances.], tot_loss[loss=0.3633, simple_loss=0.4031, pruned_loss=0.1617, over 2776477.86 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07037, over 44372.39 utterances.], batch size: 411, lr: 9.78e-04
+2022-09-17 07:35:41,661 INFO [train.py:885] (1/2) Epoch 4, batch 3950, loss[loss=0.3077, simple_loss=0.3494, pruned_loss=0.133, over 14304.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03974, over 120.00 utterances.], tot_loss[loss=0.3673, simple_loss=0.4068, pruned_loss=0.1639, over 2777350.87 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07234, over 45682.63 utterances.], batch size: 120, lr: 9.78e-04
+2022-09-17 07:36:10,513 INFO [train.py:885] (1/2) Epoch 4, batch 4000, loss[loss=0.4853, simple_loss=0.5159, pruned_loss=0.2274, over 13723.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07481, over 411.00 utterances.], tot_loss[loss=0.362, simple_loss=0.402, pruned_loss=0.1609, over 2782417.31 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06852, over 43199.23 utterances.], batch size: 411, lr: 9.77e-04
+2022-09-17 07:36:40,539 INFO [train.py:885] (1/2) Epoch 4, batch 4050, loss[loss=0.4402, simple_loss=0.4584, pruned_loss=0.211, over 14335.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03712, over 195.00 utterances.], tot_loss[loss=0.3695, simple_loss=0.4088, pruned_loss=0.1651, over 2784600.47 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06886, over 45258.09 utterances.], batch size: 195, lr: 9.77e-04
+2022-09-17 07:37:09,921 INFO [train.py:885] (1/2) Epoch 4, batch 4100, loss[loss=0.6997, simple_loss=0.705, pruned_loss=0.3472, over 12492.00 frames. utt_duration=63.22 frames, utt_pad_proportion=0.1456, over 810.00 utterances.], tot_loss[loss=0.3687, simple_loss=0.4081, pruned_loss=0.1647, over 2786487.92 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06956, over 45260.26 utterances.], batch size: 810, lr: 9.76e-04
+2022-09-17 07:37:39,815 INFO [train.py:885] (1/2) Epoch 4, batch 4150, loss[loss=0.2982, simple_loss=0.3436, pruned_loss=0.1264, over 14081.00 frames. utt_duration=576.4 frames, utt_pad_proportion=0.05348, over 98.00 utterances.], tot_loss[loss=0.3638, simple_loss=0.4043, pruned_loss=0.1617, over 2790746.31 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06746, over 43883.33 utterances.], batch size: 98, lr: 9.75e-04
+2022-09-17 07:38:09,160 INFO [train.py:885] (1/2) Epoch 4, batch 4200, loss[loss=0.4283, simple_loss=0.4561, pruned_loss=0.2003, over 14199.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04532, over 306.00 utterances.], tot_loss[loss=0.3655, simple_loss=0.4057, pruned_loss=0.1626, over 2789974.05 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06854, over 44181.19 utterances.], batch size: 306, lr: 9.75e-04
+2022-09-17 07:38:39,077 INFO [train.py:885] (1/2) Epoch 4, batch 4250, loss[loss=0.4273, simple_loss=0.4548, pruned_loss=0.1999, over 14296.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04085, over 262.00 utterances.], tot_loss[loss=0.368, simple_loss=0.4076, pruned_loss=0.1642, over 2789611.22 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06847, over 44767.40 utterances.], batch size: 262, lr: 9.74e-04
+2022-09-17 07:39:08,277 INFO [train.py:885] (1/2) Epoch 4, batch 4300, loss[loss=0.4311, simple_loss=0.4532, pruned_loss=0.2045, over 14213.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04438, over 306.00 utterances.], tot_loss[loss=0.3668, simple_loss=0.4063, pruned_loss=0.1636, over 2788032.01 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06789, over 44436.66 utterances.], batch size: 306, lr: 9.74e-04
+2022-09-17 07:39:37,669 INFO [train.py:885] (1/2) Epoch 4, batch 4350, loss[loss=0.2656, simple_loss=0.3236, pruned_loss=0.1038, over 14108.00 frames. utt_duration=635.5 frames, utt_pad_proportion=0.05145, over 89.00 utterances.], tot_loss[loss=0.3636, simple_loss=0.404, pruned_loss=0.1616, over 2787680.32 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06752, over 44257.29 utterances.], batch size: 89, lr: 9.73e-04
+2022-09-17 07:40:07,591 INFO [train.py:885] (1/2) Epoch 4, batch 4400, loss[loss=0.3865, simple_loss=0.4392, pruned_loss=0.1669, over 14019.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05711, over 366.00 utterances.], tot_loss[loss=0.3642, simple_loss=0.4047, pruned_loss=0.1619, over 2791786.51 frames. utt_duration=256 frames, utt_pad_proportion=0.06548, over 43879.48 utterances.], batch size: 366, lr: 9.73e-04
+2022-09-17 07:40:37,006 INFO [train.py:885] (1/2) Epoch 4, batch 4450, loss[loss=0.3978, simple_loss=0.4634, pruned_loss=0.1661, over 13736.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07459, over 411.00 utterances.], tot_loss[loss=0.3589, simple_loss=0.4001, pruned_loss=0.1588, over 2790547.46 frames. utt_duration=265.9 frames, utt_pad_proportion=0.06561, over 42216.90 utterances.], batch size: 411, lr: 9.72e-04
+2022-09-17 07:41:06,680 INFO [train.py:885] (1/2) Epoch 4, batch 4500, loss[loss=0.4041, simple_loss=0.4604, pruned_loss=0.1739, over 13827.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.0708, over 412.00 utterances.], tot_loss[loss=0.3598, simple_loss=0.4002, pruned_loss=0.1597, over 2790658.09 frames. utt_duration=265.7 frames, utt_pad_proportion=0.06599, over 42246.62 utterances.], batch size: 412, lr: 9.71e-04
+2022-09-17 07:41:36,242 INFO [train.py:885] (1/2) Epoch 4, batch 4550, loss[loss=0.3669, simple_loss=0.4393, pruned_loss=0.1472, over 13775.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07081, over 411.00 utterances.], tot_loss[loss=0.3627, simple_loss=0.4022, pruned_loss=0.1616, over 2789479.16 frames. utt_duration=260.9 frames, utt_pad_proportion=0.06716, over 43011.15 utterances.], batch size: 411, lr: 9.71e-04
+2022-09-17 07:42:05,961 INFO [train.py:885] (1/2) Epoch 4, batch 4600, loss[loss=0.2735, simple_loss=0.3078, pruned_loss=0.1196, over 12952.00 frames. utt_duration=2073 frames, utt_pad_proportion=0.1354, over 25.00 utterances.], tot_loss[loss=0.3653, simple_loss=0.4048, pruned_loss=0.1629, over 2787169.63 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06843, over 44036.83 utterances.], batch size: 25, lr: 9.70e-04
+2022-09-17 07:42:34,897 INFO [train.py:885] (1/2) Epoch 4, batch 4650, loss[loss=0.4471, simple_loss=0.4651, pruned_loss=0.2146, over 14272.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04061, over 335.00 utterances.], tot_loss[loss=0.3644, simple_loss=0.4045, pruned_loss=0.1621, over 2784769.85 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06931, over 44398.53 utterances.], batch size: 335, lr: 9.70e-04
+2022-09-17 07:43:04,660 INFO [train.py:885] (1/2) Epoch 4, batch 4700, loss[loss=0.3836, simple_loss=0.424, pruned_loss=0.1716, over 14251.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.04197, over 180.00 utterances.], tot_loss[loss=0.3685, simple_loss=0.4088, pruned_loss=0.1641, over 2782279.36 frames. utt_duration=243.6 frames, utt_pad_proportion=0.06961, over 45957.92 utterances.], batch size: 180, lr: 9.69e-04
+2022-09-17 07:43:34,693 INFO [train.py:885] (1/2) Epoch 4, batch 4750, loss[loss=0.2045, simple_loss=0.2678, pruned_loss=0.07057, over 13811.00 frames. utt_duration=922.2 frames, utt_pad_proportion=0.07313, over 60.00 utterances.], tot_loss[loss=0.3688, simple_loss=0.4086, pruned_loss=0.1645, over 2779064.23 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07049, over 45582.25 utterances.], batch size: 60, lr: 9.69e-04
+2022-09-17 07:44:03,595 INFO [train.py:885] (1/2) Epoch 4, batch 4800, loss[loss=0.2425, simple_loss=0.2906, pruned_loss=0.09722, over 12194.00 frames. utt_duration=2034 frames, utt_pad_proportion=0.172, over 24.00 utterances.], tot_loss[loss=0.3679, simple_loss=0.4085, pruned_loss=0.1636, over 2779036.32 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07089, over 46427.72 utterances.], batch size: 24, lr: 9.68e-04
+2022-09-17 07:44:32,875 INFO [train.py:885] (1/2) Epoch 4, batch 4850, loss[loss=0.3419, simple_loss=0.3985, pruned_loss=0.1427, over 14380.00 frames. utt_duration=296.5 frames, utt_pad_proportion=0.03418, over 195.00 utterances.], tot_loss[loss=0.3689, simple_loss=0.409, pruned_loss=0.1644, over 2781918.06 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07106, over 46200.22 utterances.], batch size: 195, lr: 9.67e-04
+2022-09-17 07:45:02,891 INFO [train.py:885] (1/2) Epoch 4, batch 4900, loss[loss=0.2161, simple_loss=0.2807, pruned_loss=0.07573, over 13460.00 frames. utt_duration=1314 frames, utt_pad_proportion=0.08275, over 41.00 utterances.], tot_loss[loss=0.3696, simple_loss=0.4094, pruned_loss=0.1648, over 2770907.96 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07572, over 46634.37 utterances.], batch size: 41, lr: 9.67e-04
+2022-09-17 07:45:32,064 INFO [train.py:885] (1/2) Epoch 4, batch 4950, loss[loss=0.476, simple_loss=0.4979, pruned_loss=0.227, over 13772.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07134, over 411.00 utterances.], tot_loss[loss=0.3689, simple_loss=0.4086, pruned_loss=0.1646, over 2773533.11 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07548, over 46581.06 utterances.], batch size: 411, lr: 9.66e-04
+2022-09-17 07:46:02,349 INFO [train.py:885] (1/2) Epoch 4, batch 5000, loss[loss=0.2254, simple_loss=0.2616, pruned_loss=0.09462, over 13031.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.1256, over 33.00 utterances.], tot_loss[loss=0.3632, simple_loss=0.4035, pruned_loss=0.1615, over 2777893.27 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07273, over 44880.65 utterances.], batch size: 33, lr: 9.66e-04
+2022-09-17 07:46:31,515 INFO [train.py:885] (1/2) Epoch 4, batch 5050, loss[loss=0.4671, simple_loss=0.4713, pruned_loss=0.2315, over 14327.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03864, over 283.00 utterances.], tot_loss[loss=0.3636, simple_loss=0.4043, pruned_loss=0.1615, over 2777324.26 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07217, over 45347.68 utterances.], batch size: 283, lr: 9.65e-04
+2022-09-17 07:47:00,496 INFO [train.py:885] (1/2) Epoch 4, batch 5100, loss[loss=0.183, simple_loss=0.228, pruned_loss=0.06904, over 12631.00 frames. utt_duration=2106 frames, utt_pad_proportion=0.1493, over 24.00 utterances.], tot_loss[loss=0.3606, simple_loss=0.4015, pruned_loss=0.1598, over 2779854.81 frames. utt_duration=253 frames, utt_pad_proportion=0.06967, over 44200.70 utterances.], batch size: 24, lr: 9.65e-04
+2022-09-17 07:47:30,052 INFO [train.py:885] (1/2) Epoch 4, batch 5150, loss[loss=0.4585, simple_loss=0.4655, pruned_loss=0.2258, over 14305.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03842, over 226.00 utterances.], tot_loss[loss=0.3648, simple_loss=0.4044, pruned_loss=0.1626, over 2779892.85 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07124, over 45038.79 utterances.], batch size: 226, lr: 9.64e-04
+2022-09-17 07:47:59,613 INFO [train.py:885] (1/2) Epoch 4, batch 5200, loss[loss=0.423, simple_loss=0.4864, pruned_loss=0.1798, over 13644.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07935, over 477.00 utterances.], tot_loss[loss=0.3657, simple_loss=0.4048, pruned_loss=0.1632, over 2782106.79 frames. utt_duration=249 frames, utt_pad_proportion=0.07155, over 44954.65 utterances.], batch size: 477, lr: 9.64e-04
+2022-09-17 07:48:29,261 INFO [train.py:885] (1/2) Epoch 4, batch 5250, loss[loss=0.318, simple_loss=0.3467, pruned_loss=0.1447, over 14086.00 frames. utt_duration=714.7 frames, utt_pad_proportion=0.05462, over 79.00 utterances.], tot_loss[loss=0.3674, simple_loss=0.4063, pruned_loss=0.1642, over 2783069.78 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07283, over 45798.98 utterances.], batch size: 79, lr: 9.63e-04
+2022-09-17 07:48:59,171 INFO [train.py:885] (1/2) Epoch 4, batch 5300, loss[loss=0.3798, simple_loss=0.4301, pruned_loss=0.1647, over 14350.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03413, over 244.00 utterances.], tot_loss[loss=0.3727, simple_loss=0.4109, pruned_loss=0.1673, over 2783790.78 frames. utt_duration=236 frames, utt_pad_proportion=0.07224, over 47484.03 utterances.], batch size: 244, lr: 9.62e-04
+2022-09-17 07:49:28,697 INFO [train.py:885] (1/2) Epoch 4, batch 5350, loss[loss=0.3312, simple_loss=0.3828, pruned_loss=0.1398, over 14266.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04257, over 141.00 utterances.], tot_loss[loss=0.3689, simple_loss=0.4082, pruned_loss=0.1648, over 2781780.34 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07223, over 47218.60 utterances.], batch size: 141, lr: 9.62e-04
+2022-09-17 07:49:58,325 INFO [train.py:885] (1/2) Epoch 4, batch 5400, loss[loss=0.4058, simple_loss=0.4371, pruned_loss=0.1872, over 14302.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.0383, over 180.00 utterances.], tot_loss[loss=0.3659, simple_loss=0.4059, pruned_loss=0.1629, over 2783994.48 frames. utt_duration=240.3 frames, utt_pad_proportion=0.0719, over 46622.48 utterances.], batch size: 180, lr: 9.61e-04
+2022-09-17 07:50:28,055 INFO [train.py:885] (1/2) Epoch 4, batch 5450, loss[loss=0.3325, simple_loss=0.378, pruned_loss=0.1435, over 14329.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.03623, over 130.00 utterances.], tot_loss[loss=0.3724, simple_loss=0.4119, pruned_loss=0.1664, over 2785614.01 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07251, over 48061.32 utterances.], batch size: 130, lr: 9.61e-04
+2022-09-17 07:50:57,188 INFO [train.py:885] (1/2) Epoch 4, batch 5500, loss[loss=0.2675, simple_loss=0.3133, pruned_loss=0.1108, over 14031.00 frames. utt_duration=711.9 frames, utt_pad_proportion=0.05832, over 79.00 utterances.], tot_loss[loss=0.3714, simple_loss=0.4107, pruned_loss=0.166, over 2788557.83 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07082, over 47463.93 utterances.], batch size: 79, lr: 9.60e-04
+2022-09-17 07:51:26,562 INFO [train.py:885] (1/2) Epoch 4, batch 5550, loss[loss=0.7601, simple_loss=0.7514, pruned_loss=0.3844, over 12378.00 frames. utt_duration=62.65 frames, utt_pad_proportion=0.1534, over 810.00 utterances.], tot_loss[loss=0.3705, simple_loss=0.4104, pruned_loss=0.1653, over 2784576.17 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07275, over 47680.32 utterances.], batch size: 810, lr: 9.60e-04
+2022-09-17 07:51:56,277 INFO [train.py:885] (1/2) Epoch 4, batch 5600, loss[loss=0.37, simple_loss=0.4126, pruned_loss=0.1637, over 14350.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.0368, over 283.00 utterances.], tot_loss[loss=0.3721, simple_loss=0.4117, pruned_loss=0.1662, over 2783041.55 frames. utt_duration=235 frames, utt_pad_proportion=0.07338, over 47667.45 utterances.], batch size: 283, lr: 9.59e-04
+2022-09-17 07:52:25,911 INFO [train.py:885] (1/2) Epoch 4, batch 5650, loss[loss=0.4881, simple_loss=0.4923, pruned_loss=0.2419, over 14239.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.0426, over 306.00 utterances.], tot_loss[loss=0.373, simple_loss=0.4124, pruned_loss=0.1669, over 2784213.17 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07276, over 47641.96 utterances.], batch size: 306, lr: 9.59e-04
+2022-09-17 07:52:54,568 INFO [train.py:885] (1/2) Epoch 4, batch 5700, loss[loss=0.4305, simple_loss=0.4605, pruned_loss=0.2003, over 14361.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03555, over 195.00 utterances.], tot_loss[loss=0.3703, simple_loss=0.4097, pruned_loss=0.1655, over 2779814.91 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07059, over 46747.89 utterances.], batch size: 195, lr: 9.58e-04
+2022-09-17 07:53:24,130 INFO [train.py:885] (1/2) Epoch 4, batch 5750, loss[loss=0.2742, simple_loss=0.325, pruned_loss=0.1117, over 14180.00 frames. utt_duration=639 frames, utt_pad_proportion=0.04491, over 89.00 utterances.], tot_loss[loss=0.3676, simple_loss=0.407, pruned_loss=0.164, over 2776823.57 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07179, over 45967.85 utterances.], batch size: 89, lr: 9.58e-04
+2022-09-17 07:53:53,929 INFO [train.py:885] (1/2) Epoch 4, batch 5800, loss[loss=0.3875, simple_loss=0.4594, pruned_loss=0.1578, over 13718.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07489, over 411.00 utterances.], tot_loss[loss=0.3691, simple_loss=0.4093, pruned_loss=0.1645, over 2777659.87 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07179, over 46798.85 utterances.], batch size: 411, lr: 9.57e-04
+2022-09-17 07:54:23,425 INFO [train.py:885] (1/2) Epoch 4, batch 5850, loss[loss=0.7014, simple_loss=0.714, pruned_loss=0.3444, over 12521.00 frames. utt_duration=63.32 frames, utt_pad_proportion=0.1444, over 810.00 utterances.], tot_loss[loss=0.3691, simple_loss=0.4087, pruned_loss=0.1647, over 2772107.83 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07406, over 47016.31 utterances.], batch size: 810, lr: 9.56e-04
+2022-09-17 07:54:53,313 INFO [train.py:885] (1/2) Epoch 4, batch 5900, loss[loss=0.2423, simple_loss=0.2973, pruned_loss=0.09362, over 13738.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.08253, over 42.00 utterances.], tot_loss[loss=0.3713, simple_loss=0.4099, pruned_loss=0.1663, over 2776915.43 frames. utt_duration=239.3 frames, utt_pad_proportion=0.074, over 46713.74 utterances.], batch size: 42, lr: 9.56e-04
+2022-09-17 07:55:22,704 INFO [train.py:885] (1/2) Epoch 4, batch 5950, loss[loss=0.3947, simple_loss=0.4247, pruned_loss=0.1823, over 14351.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03851, over 167.00 utterances.], tot_loss[loss=0.3691, simple_loss=0.4078, pruned_loss=0.1652, over 2776377.86 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07236, over 46278.30 utterances.], batch size: 167, lr: 9.55e-04
+2022-09-17 07:55:52,284 INFO [train.py:885] (1/2) Epoch 4, batch 6000, loss[loss=0.4721, simple_loss=0.4616, pruned_loss=0.2413, over 14329.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03778, over 210.00 utterances.], tot_loss[loss=0.3636, simple_loss=0.4026, pruned_loss=0.1623, over 2780436.63 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06969, over 44340.09 utterances.], batch size: 210, lr: 9.55e-04
+2022-09-17 07:55:52,285 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 07:55:56,494 INFO [train.py:914] (1/2) Epoch 4, validation: loss=0.2393, simple_loss=0.3087, pruned_loss=0.08494, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 07:56:25,893 INFO [train.py:885] (1/2) Epoch 4, batch 6050, loss[loss=0.4167, simple_loss=0.4505, pruned_loss=0.1914, over 14296.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03965, over 283.00 utterances.], tot_loss[loss=0.3612, simple_loss=0.4005, pruned_loss=0.161, over 2783748.19 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06783, over 43541.82 utterances.], batch size: 283, lr: 9.54e-04
+2022-09-17 07:56:55,691 INFO [train.py:885] (1/2) Epoch 4, batch 6100, loss[loss=0.3897, simple_loss=0.4613, pruned_loss=0.159, over 13654.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07985, over 477.00 utterances.], tot_loss[loss=0.3674, simple_loss=0.4067, pruned_loss=0.164, over 2782265.80 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06981, over 45634.12 utterances.], batch size: 477, lr: 9.54e-04
+2022-09-17 07:57:25,275 INFO [train.py:885] (1/2) Epoch 4, batch 6150, loss[loss=0.5675, simple_loss=0.5613, pruned_loss=0.2868, over 13943.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.05959, over 365.00 utterances.], tot_loss[loss=0.3655, simple_loss=0.4052, pruned_loss=0.1628, over 2780523.47 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07035, over 45095.38 utterances.], batch size: 365, lr: 9.53e-04
+2022-09-17 07:57:54,772 INFO [train.py:885] (1/2) Epoch 4, batch 6200, loss[loss=0.2154, simple_loss=0.2645, pruned_loss=0.08318, over 13269.00 frames. utt_duration=1610 frames, utt_pad_proportion=0.1091, over 33.00 utterances.], tot_loss[loss=0.36, simple_loss=0.4006, pruned_loss=0.1597, over 2778215.83 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07058, over 44268.53 utterances.], batch size: 33, lr: 9.53e-04
+2022-09-17 07:58:25,056 INFO [train.py:885] (1/2) Epoch 4, batch 6250, loss[loss=0.2641, simple_loss=0.3186, pruned_loss=0.1048, over 13794.00 frames. utt_duration=921.2 frames, utt_pad_proportion=0.0742, over 60.00 utterances.], tot_loss[loss=0.3629, simple_loss=0.404, pruned_loss=0.1609, over 2776438.42 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07408, over 46230.95 utterances.], batch size: 60, lr: 9.52e-04
+2022-09-17 07:58:53,643 INFO [train.py:885] (1/2) Epoch 4, batch 6300, loss[loss=0.2186, simple_loss=0.2574, pruned_loss=0.08993, over 13795.00 frames. utt_duration=921 frames, utt_pad_proportion=0.07432, over 60.00 utterances.], tot_loss[loss=0.365, simple_loss=0.4056, pruned_loss=0.1623, over 2777318.99 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07331, over 46334.20 utterances.], batch size: 60, lr: 9.52e-04
+2022-09-17 07:59:23,409 INFO [train.py:885] (1/2) Epoch 4, batch 6350, loss[loss=0.4671, simple_loss=0.5184, pruned_loss=0.2079, over 13643.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08013, over 477.00 utterances.], tot_loss[loss=0.3641, simple_loss=0.4048, pruned_loss=0.1617, over 2778210.90 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07135, over 45787.74 utterances.], batch size: 477, lr: 9.51e-04
+2022-09-17 07:59:52,551 INFO [train.py:885] (1/2) Epoch 4, batch 6400, loss[loss=0.4132, simple_loss=0.4431, pruned_loss=0.1917, over 14269.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04082, over 225.00 utterances.], tot_loss[loss=0.3629, simple_loss=0.404, pruned_loss=0.1609, over 2778732.25 frames. utt_duration=246 frames, utt_pad_proportion=0.07172, over 45456.76 utterances.], batch size: 225, lr: 9.51e-04
+2022-09-17 08:00:22,858 INFO [train.py:885] (1/2) Epoch 4, batch 6450, loss[loss=0.3727, simple_loss=0.4316, pruned_loss=0.1569, over 13991.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05583, over 365.00 utterances.], tot_loss[loss=0.3679, simple_loss=0.4081, pruned_loss=0.1638, over 2775578.45 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07359, over 46870.36 utterances.], batch size: 365, lr: 9.50e-04
+2022-09-17 08:00:52,073 INFO [train.py:885] (1/2) Epoch 4, batch 6500, loss[loss=0.2536, simple_loss=0.291, pruned_loss=0.1081, over 13505.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08601, over 50.00 utterances.], tot_loss[loss=0.3671, simple_loss=0.4068, pruned_loss=0.1637, over 2776823.95 frames. utt_duration=241 frames, utt_pad_proportion=0.07199, over 46368.41 utterances.], batch size: 50, lr: 9.50e-04
+2022-09-17 08:01:21,712 INFO [train.py:885] (1/2) Epoch 4, batch 6550, loss[loss=0.3909, simple_loss=0.4322, pruned_loss=0.1748, over 14254.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04159, over 225.00 utterances.], tot_loss[loss=0.3677, simple_loss=0.4073, pruned_loss=0.164, over 2782566.17 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07036, over 46348.83 utterances.], batch size: 225, lr: 9.49e-04
+2022-09-17 08:01:50,666 INFO [train.py:885] (1/2) Epoch 4, batch 6600, loss[loss=0.3599, simple_loss=0.4037, pruned_loss=0.158, over 14247.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04091, over 141.00 utterances.], tot_loss[loss=0.3647, simple_loss=0.4044, pruned_loss=0.1625, over 2787136.04 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06848, over 45176.22 utterances.], batch size: 141, lr: 9.48e-04
+2022-09-17 08:02:20,348 INFO [train.py:885] (1/2) Epoch 4, batch 6650, loss[loss=0.3957, simple_loss=0.4619, pruned_loss=0.1648, over 13782.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07058, over 411.00 utterances.], tot_loss[loss=0.3613, simple_loss=0.4018, pruned_loss=0.1604, over 2778075.25 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06987, over 45407.15 utterances.], batch size: 411, lr: 9.48e-04
+2022-09-17 08:02:50,074 INFO [train.py:885] (1/2) Epoch 4, batch 6700, loss[loss=0.4309, simple_loss=0.4568, pruned_loss=0.2025, over 14300.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04055, over 262.00 utterances.], tot_loss[loss=0.3627, simple_loss=0.4027, pruned_loss=0.1614, over 2779728.14 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06932, over 44891.36 utterances.], batch size: 262, lr: 9.47e-04
+2022-09-17 08:03:20,107 INFO [train.py:885] (1/2) Epoch 4, batch 6750, loss[loss=0.5639, simple_loss=0.577, pruned_loss=0.2754, over 13671.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07823, over 477.00 utterances.], tot_loss[loss=0.3666, simple_loss=0.4066, pruned_loss=0.1633, over 2776061.95 frames. utt_duration=239.2 frames, utt_pad_proportion=0.0711, over 46706.37 utterances.], batch size: 477, lr: 9.47e-04
+2022-09-17 08:03:50,014 INFO [train.py:885] (1/2) Epoch 4, batch 6800, loss[loss=0.6889, simple_loss=0.6976, pruned_loss=0.3401, over 12490.00 frames. utt_duration=63.23 frames, utt_pad_proportion=0.1455, over 810.00 utterances.], tot_loss[loss=0.3682, simple_loss=0.4088, pruned_loss=0.1638, over 2777724.08 frames. utt_duration=233 frames, utt_pad_proportion=0.07178, over 48001.88 utterances.], batch size: 810, lr: 9.46e-04
+2022-09-17 08:04:19,808 INFO [train.py:885] (1/2) Epoch 4, batch 6850, loss[loss=0.3362, simple_loss=0.3887, pruned_loss=0.1418, over 14287.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04198, over 154.00 utterances.], tot_loss[loss=0.3663, simple_loss=0.4075, pruned_loss=0.1626, over 2777127.48 frames. utt_duration=232.7 frames, utt_pad_proportion=0.0732, over 48041.51 utterances.], batch size: 154, lr: 9.46e-04
+2022-09-17 08:04:48,751 INFO [train.py:885] (1/2) Epoch 4, batch 6900, loss[loss=0.2912, simple_loss=0.3481, pruned_loss=0.1172, over 14199.00 frames. utt_duration=522.4 frames, utt_pad_proportion=0.04328, over 109.00 utterances.], tot_loss[loss=0.3597, simple_loss=0.4013, pruned_loss=0.159, over 2775713.64 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07288, over 45549.01 utterances.], batch size: 109, lr: 9.45e-04
+2022-09-17 08:05:18,584 INFO [train.py:885] (1/2) Epoch 4, batch 6950, loss[loss=0.4308, simple_loss=0.429, pruned_loss=0.2163, over 14293.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.03858, over 130.00 utterances.], tot_loss[loss=0.3665, simple_loss=0.4071, pruned_loss=0.163, over 2774429.52 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07403, over 47205.91 utterances.], batch size: 130, lr: 9.45e-04
+2022-09-17 08:05:47,990 INFO [train.py:885] (1/2) Epoch 4, batch 7000, loss[loss=0.3966, simple_loss=0.4373, pruned_loss=0.1779, over 14349.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03591, over 210.00 utterances.], tot_loss[loss=0.3661, simple_loss=0.4055, pruned_loss=0.1634, over 2777046.35 frames. utt_duration=244.3 frames, utt_pad_proportion=0.0725, over 45740.03 utterances.], batch size: 210, lr: 9.44e-04
+2022-09-17 08:06:17,437 INFO [train.py:885] (1/2) Epoch 4, batch 7050, loss[loss=0.2322, simple_loss=0.2843, pruned_loss=0.09006, over 13496.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.0916, over 50.00 utterances.], tot_loss[loss=0.3643, simple_loss=0.4047, pruned_loss=0.1619, over 2780345.98 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07166, over 45983.51 utterances.], batch size: 50, lr: 9.44e-04
+2022-09-17 08:06:46,483 INFO [train.py:885] (1/2) Epoch 4, batch 7100, loss[loss=0.2387, simple_loss=0.2769, pruned_loss=0.1002, over 12670.00 frames. utt_duration=2029 frames, utt_pad_proportion=0.1389, over 25.00 utterances.], tot_loss[loss=0.3604, simple_loss=0.4008, pruned_loss=0.16, over 2779782.88 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07016, over 44445.05 utterances.], batch size: 25, lr: 9.43e-04
+2022-09-17 08:07:15,813 INFO [train.py:885] (1/2) Epoch 4, batch 7150, loss[loss=0.2213, simple_loss=0.2601, pruned_loss=0.09127, over 13211.00 frames. utt_duration=1603 frames, utt_pad_proportion=0.1036, over 33.00 utterances.], tot_loss[loss=0.3611, simple_loss=0.401, pruned_loss=0.1606, over 2783842.63 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06941, over 44542.34 utterances.], batch size: 33, lr: 9.43e-04
+2022-09-17 08:07:46,234 INFO [train.py:885] (1/2) Epoch 4, batch 7200, loss[loss=0.4188, simple_loss=0.4472, pruned_loss=0.1952, over 14324.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03827, over 283.00 utterances.], tot_loss[loss=0.3646, simple_loss=0.4043, pruned_loss=0.1624, over 2783590.35 frames. utt_duration=249 frames, utt_pad_proportion=0.06913, over 44984.82 utterances.], batch size: 283, lr: 9.42e-04
+2022-09-17 08:08:15,907 INFO [train.py:885] (1/2) Epoch 4, batch 7250, loss[loss=0.4094, simple_loss=0.4377, pruned_loss=0.1906, over 14322.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03492, over 262.00 utterances.], tot_loss[loss=0.364, simple_loss=0.4034, pruned_loss=0.1623, over 2777243.60 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07131, over 45505.21 utterances.], batch size: 262, lr: 9.42e-04
+2022-09-17 08:08:45,032 INFO [train.py:885] (1/2) Epoch 4, batch 7300, loss[loss=0.3053, simple_loss=0.3552, pruned_loss=0.1277, over 14195.00 frames. utt_duration=639.7 frames, utt_pad_proportion=0.04662, over 89.00 utterances.], tot_loss[loss=0.362, simple_loss=0.4021, pruned_loss=0.161, over 2777173.15 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07209, over 45169.97 utterances.], batch size: 89, lr: 9.41e-04
+2022-09-17 08:09:14,725 INFO [train.py:885] (1/2) Epoch 4, batch 7350, loss[loss=0.4476, simple_loss=0.5015, pruned_loss=0.1968, over 13601.00 frames. utt_duration=98.52 frames, utt_pad_proportion=0.07926, over 560.00 utterances.], tot_loss[loss=0.3637, simple_loss=0.4036, pruned_loss=0.1619, over 2782085.65 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06931, over 44836.16 utterances.], batch size: 560, lr: 9.41e-04
+2022-09-17 08:09:43,592 INFO [train.py:885] (1/2) Epoch 4, batch 7400, loss[loss=0.3606, simple_loss=0.4031, pruned_loss=0.159, over 14318.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.0408, over 167.00 utterances.], tot_loss[loss=0.3657, simple_loss=0.4055, pruned_loss=0.163, over 2778468.99 frames. utt_duration=246.9 frames, utt_pad_proportion=0.0708, over 45277.37 utterances.], batch size: 167, lr: 9.40e-04
+2022-09-17 08:10:13,099 INFO [train.py:885] (1/2) Epoch 4, batch 7450, loss[loss=0.4863, simple_loss=0.5298, pruned_loss=0.2214, over 13667.00 frames. utt_duration=116 frames, utt_pad_proportion=0.079, over 477.00 utterances.], tot_loss[loss=0.3617, simple_loss=0.4023, pruned_loss=0.1606, over 2775767.49 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07046, over 44072.04 utterances.], batch size: 477, lr: 9.40e-04
+2022-09-17 08:10:42,853 INFO [train.py:885] (1/2) Epoch 4, batch 7500, loss[loss=0.2299, simple_loss=0.2794, pruned_loss=0.09022, over 12345.00 frames. utt_duration=2059 frames, utt_pad_proportion=0.1712, over 24.00 utterances.], tot_loss[loss=0.3636, simple_loss=0.4042, pruned_loss=0.1615, over 2774742.35 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07189, over 44808.82 utterances.], batch size: 24, lr: 9.39e-04
+2022-09-17 08:11:12,797 INFO [train.py:885] (1/2) Epoch 4, batch 7550, loss[loss=0.6853, simple_loss=0.695, pruned_loss=0.3378, over 12580.00 frames. utt_duration=63.62 frames, utt_pad_proportion=0.1403, over 810.00 utterances.], tot_loss[loss=0.3693, simple_loss=0.4092, pruned_loss=0.1647, over 2775331.62 frames. utt_duration=238 frames, utt_pad_proportion=0.07316, over 46943.73 utterances.], batch size: 810, lr: 9.39e-04
+2022-09-17 08:11:41,849 INFO [train.py:885] (1/2) Epoch 4, batch 7600, loss[loss=0.2785, simple_loss=0.3253, pruned_loss=0.1159, over 13757.00 frames. utt_duration=918.8 frames, utt_pad_proportion=0.07476, over 60.00 utterances.], tot_loss[loss=0.37, simple_loss=0.4107, pruned_loss=0.1646, over 2777201.31 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07391, over 47811.23 utterances.], batch size: 60, lr: 9.38e-04
+2022-09-17 08:12:11,172 INFO [train.py:885] (1/2) Epoch 4, batch 7650, loss[loss=0.3996, simple_loss=0.4396, pruned_loss=0.1798, over 14196.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.0451, over 306.00 utterances.], tot_loss[loss=0.3652, simple_loss=0.4054, pruned_loss=0.1625, over 2779694.06 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07265, over 45571.56 utterances.], batch size: 306, lr: 9.38e-04
+2022-09-17 08:12:40,044 INFO [train.py:885] (1/2) Epoch 4, batch 7700, loss[loss=0.1792, simple_loss=0.2169, pruned_loss=0.07073, over 12307.00 frames. utt_duration=2053 frames, utt_pad_proportion=0.1672, over 24.00 utterances.], tot_loss[loss=0.3599, simple_loss=0.4009, pruned_loss=0.1594, over 2781668.94 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06967, over 44535.96 utterances.], batch size: 24, lr: 9.37e-04
+2022-09-17 08:13:09,732 INFO [train.py:885] (1/2) Epoch 4, batch 7750, loss[loss=0.5244, simple_loss=0.5079, pruned_loss=0.2704, over 14213.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04439, over 335.00 utterances.], tot_loss[loss=0.3616, simple_loss=0.4018, pruned_loss=0.1608, over 2781274.71 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06991, over 44570.94 utterances.], batch size: 335, lr: 9.37e-04
+2022-09-17 08:13:39,450 INFO [train.py:885] (1/2) Epoch 4, batch 7800, loss[loss=0.4344, simple_loss=0.4588, pruned_loss=0.205, over 14298.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04087, over 262.00 utterances.], tot_loss[loss=0.3647, simple_loss=0.4045, pruned_loss=0.1624, over 2780266.70 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07236, over 45369.36 utterances.], batch size: 262, lr: 9.36e-04
+2022-09-17 08:14:08,792 INFO [train.py:885] (1/2) Epoch 4, batch 7850, loss[loss=0.2587, simple_loss=0.3059, pruned_loss=0.1058, over 13270.00 frames. utt_duration=1610 frames, utt_pad_proportion=0.09807, over 33.00 utterances.], tot_loss[loss=0.3595, simple_loss=0.3999, pruned_loss=0.1596, over 2781773.20 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06935, over 43640.15 utterances.], batch size: 33, lr: 9.36e-04
+2022-09-17 08:14:38,695 INFO [train.py:885] (1/2) Epoch 4, batch 7900, loss[loss=0.5007, simple_loss=0.5479, pruned_loss=0.2268, over 13151.00 frames. utt_duration=82.07 frames, utt_pad_proportion=0.1079, over 653.00 utterances.], tot_loss[loss=0.3654, simple_loss=0.4047, pruned_loss=0.163, over 2784672.96 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07042, over 44779.67 utterances.], batch size: 653, lr: 9.35e-04
+2022-09-17 08:15:08,437 INFO [train.py:885] (1/2) Epoch 4, batch 7950, loss[loss=0.3177, simple_loss=0.3683, pruned_loss=0.1335, over 14267.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04252, over 141.00 utterances.], tot_loss[loss=0.3604, simple_loss=0.4, pruned_loss=0.1604, over 2786168.59 frames. utt_duration=261 frames, utt_pad_proportion=0.068, over 42942.19 utterances.], batch size: 141, lr: 9.35e-04
+2022-09-17 08:15:37,652 INFO [train.py:885] (1/2) Epoch 4, batch 8000, loss[loss=0.2353, simple_loss=0.3012, pruned_loss=0.0847, over 14048.00 frames. utt_duration=574.8 frames, utt_pad_proportion=0.05769, over 98.00 utterances.], tot_loss[loss=0.3608, simple_loss=0.401, pruned_loss=0.1603, over 2784726.03 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06906, over 44198.57 utterances.], batch size: 98, lr: 9.34e-04
+2022-09-17 08:16:07,869 INFO [train.py:885] (1/2) Epoch 4, batch 8050, loss[loss=0.2436, simple_loss=0.2982, pruned_loss=0.09452, over 13842.00 frames. utt_duration=804 frames, utt_pad_proportion=0.06398, over 69.00 utterances.], tot_loss[loss=0.3612, simple_loss=0.4018, pruned_loss=0.1603, over 2784319.27 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06925, over 44981.36 utterances.], batch size: 69, lr: 9.34e-04
+2022-09-17 08:16:37,184 INFO [train.py:885] (1/2) Epoch 4, batch 8100, loss[loss=0.3124, simple_loss=0.357, pruned_loss=0.1338, over 13972.00 frames. utt_duration=708.9 frames, utt_pad_proportion=0.06106, over 79.00 utterances.], tot_loss[loss=0.3615, simple_loss=0.4018, pruned_loss=0.1606, over 2786995.54 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06665, over 44825.14 utterances.], batch size: 79, lr: 9.33e-04
+2022-09-17 08:17:07,119 INFO [train.py:885] (1/2) Epoch 4, batch 8150, loss[loss=0.3239, simple_loss=0.3825, pruned_loss=0.1327, over 14322.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04057, over 167.00 utterances.], tot_loss[loss=0.3612, simple_loss=0.4025, pruned_loss=0.16, over 2787682.33 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06682, over 45302.12 utterances.], batch size: 167, lr: 9.33e-04
+2022-09-17 08:17:36,721 INFO [train.py:885] (1/2) Epoch 4, batch 8200, loss[loss=0.4026, simple_loss=0.4364, pruned_loss=0.1844, over 14337.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03785, over 262.00 utterances.], tot_loss[loss=0.359, simple_loss=0.4008, pruned_loss=0.1586, over 2792042.78 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06576, over 44742.75 utterances.], batch size: 262, lr: 9.32e-04
+2022-09-17 08:18:06,092 INFO [train.py:885] (1/2) Epoch 4, batch 8250, loss[loss=0.3006, simple_loss=0.35, pruned_loss=0.1256, over 14187.00 frames. utt_duration=522.1 frames, utt_pad_proportion=0.04379, over 109.00 utterances.], tot_loss[loss=0.3634, simple_loss=0.4042, pruned_loss=0.1613, over 2787732.43 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06723, over 44793.67 utterances.], batch size: 109, lr: 9.32e-04
+2022-09-17 08:18:35,699 INFO [train.py:885] (1/2) Epoch 4, batch 8300, loss[loss=0.5172, simple_loss=0.5455, pruned_loss=0.2445, over 13642.00 frames. utt_duration=98.8 frames, utt_pad_proportion=0.07662, over 560.00 utterances.], tot_loss[loss=0.3641, simple_loss=0.405, pruned_loss=0.1616, over 2783949.81 frames. utt_duration=245.5 frames, utt_pad_proportion=0.06858, over 45641.45 utterances.], batch size: 560, lr: 9.31e-04
+2022-09-17 08:19:05,059 INFO [train.py:885] (1/2) Epoch 4, batch 8350, loss[loss=0.4448, simple_loss=0.4627, pruned_loss=0.2134, over 14311.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03982, over 262.00 utterances.], tot_loss[loss=0.3674, simple_loss=0.4078, pruned_loss=0.1635, over 2784213.45 frames. utt_duration=240.7 frames, utt_pad_proportion=0.0694, over 46557.90 utterances.], batch size: 262, lr: 9.31e-04
+2022-09-17 08:19:35,052 INFO [train.py:885] (1/2) Epoch 4, batch 8400, loss[loss=0.3488, simple_loss=0.4044, pruned_loss=0.1466, over 14327.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03842, over 262.00 utterances.], tot_loss[loss=0.3676, simple_loss=0.4079, pruned_loss=0.1637, over 2780726.58 frames. utt_duration=238.3 frames, utt_pad_proportion=0.06959, over 46972.52 utterances.], batch size: 262, lr: 9.30e-04
+2022-09-17 08:20:04,713 INFO [train.py:885] (1/2) Epoch 4, batch 8450, loss[loss=0.3767, simple_loss=0.4235, pruned_loss=0.1649, over 14339.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03473, over 244.00 utterances.], tot_loss[loss=0.367, simple_loss=0.4079, pruned_loss=0.1631, over 2779402.29 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07044, over 47312.53 utterances.], batch size: 244, lr: 9.30e-04
+2022-09-17 08:20:34,821 INFO [train.py:885] (1/2) Epoch 4, batch 8500, loss[loss=0.701, simple_loss=0.7033, pruned_loss=0.3494, over 12464.00 frames. utt_duration=63.1 frames, utt_pad_proportion=0.1474, over 810.00 utterances.], tot_loss[loss=0.3672, simple_loss=0.4081, pruned_loss=0.1632, over 2777747.88 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07129, over 48022.16 utterances.], batch size: 810, lr: 9.29e-04
+2022-09-17 08:21:04,546 INFO [train.py:885] (1/2) Epoch 4, batch 8550, loss[loss=0.4003, simple_loss=0.4263, pruned_loss=0.1871, over 14349.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03692, over 195.00 utterances.], tot_loss[loss=0.3665, simple_loss=0.4077, pruned_loss=0.1627, over 2777414.43 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07171, over 47919.92 utterances.], batch size: 195, lr: 9.29e-04
+2022-09-17 08:21:33,624 INFO [train.py:885] (1/2) Epoch 4, batch 8600, loss[loss=0.236, simple_loss=0.2749, pruned_loss=0.09855, over 13400.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08468, over 41.00 utterances.], tot_loss[loss=0.3609, simple_loss=0.4019, pruned_loss=0.16, over 2782005.35 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06829, over 44753.35 utterances.], batch size: 41, lr: 9.28e-04
+2022-09-17 08:22:03,267 INFO [train.py:885] (1/2) Epoch 4, batch 8650, loss[loss=0.4404, simple_loss=0.4602, pruned_loss=0.2104, over 14255.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04207, over 225.00 utterances.], tot_loss[loss=0.3604, simple_loss=0.4023, pruned_loss=0.1593, over 2782686.49 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06894, over 45279.77 utterances.], batch size: 225, lr: 9.28e-04
+2022-09-17 08:22:32,681 INFO [train.py:885] (1/2) Epoch 4, batch 8700, loss[loss=0.4774, simple_loss=0.4923, pruned_loss=0.2312, over 14228.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04297, over 306.00 utterances.], tot_loss[loss=0.3629, simple_loss=0.4046, pruned_loss=0.1606, over 2781603.38 frames. utt_duration=241.6 frames, utt_pad_proportion=0.06965, over 46328.89 utterances.], batch size: 306, lr: 9.27e-04
+2022-09-17 08:23:02,606 INFO [train.py:885] (1/2) Epoch 4, batch 8750, loss[loss=0.483, simple_loss=0.4926, pruned_loss=0.2367, over 14241.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04197, over 335.00 utterances.], tot_loss[loss=0.3607, simple_loss=0.4022, pruned_loss=0.1597, over 2784919.50 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06704, over 44580.23 utterances.], batch size: 335, lr: 9.27e-04
+2022-09-17 08:23:32,046 INFO [train.py:885] (1/2) Epoch 4, batch 8800, loss[loss=0.4629, simple_loss=0.5111, pruned_loss=0.2073, over 13604.00 frames. utt_duration=98.46 frames, utt_pad_proportion=0.07984, over 560.00 utterances.], tot_loss[loss=0.3592, simple_loss=0.4007, pruned_loss=0.1589, over 2785962.43 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06713, over 44141.83 utterances.], batch size: 560, lr: 9.26e-04
+2022-09-17 08:24:01,931 INFO [train.py:885] (1/2) Epoch 4, batch 8850, loss[loss=0.4506, simple_loss=0.4651, pruned_loss=0.218, over 14301.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.0399, over 283.00 utterances.], tot_loss[loss=0.3588, simple_loss=0.4002, pruned_loss=0.1587, over 2785462.96 frames. utt_duration=252.3 frames, utt_pad_proportion=0.0671, over 44420.10 utterances.], batch size: 283, lr: 9.26e-04
+2022-09-17 08:24:30,763 INFO [train.py:885] (1/2) Epoch 4, batch 8900, loss[loss=0.5534, simple_loss=0.5866, pruned_loss=0.2601, over 13098.00 frames. utt_duration=81.75 frames, utt_pad_proportion=0.1114, over 653.00 utterances.], tot_loss[loss=0.3609, simple_loss=0.4015, pruned_loss=0.1602, over 2783553.25 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06844, over 44729.67 utterances.], batch size: 653, lr: 9.25e-04
+2022-09-17 08:25:00,436 INFO [train.py:885] (1/2) Epoch 4, batch 8950, loss[loss=0.2168, simple_loss=0.2606, pruned_loss=0.08651, over 13486.00 frames. utt_duration=1286 frames, utt_pad_proportion=0.08341, over 42.00 utterances.], tot_loss[loss=0.362, simple_loss=0.4024, pruned_loss=0.1608, over 2786684.05 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06823, over 44805.00 utterances.], batch size: 42, lr: 9.25e-04
+2022-09-17 08:25:29,654 INFO [train.py:885] (1/2) Epoch 4, batch 9000, loss[loss=0.2103, simple_loss=0.2521, pruned_loss=0.08422, over 12404.00 frames. utt_duration=2069 frames, utt_pad_proportion=0.1514, over 24.00 utterances.], tot_loss[loss=0.3581, simple_loss=0.3989, pruned_loss=0.1586, over 2782185.98 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06789, over 43426.22 utterances.], batch size: 24, lr: 9.24e-04
+2022-09-17 08:25:29,655 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 08:25:34,296 INFO [train.py:914] (1/2) Epoch 4, validation: loss=0.2375, simple_loss=0.306, pruned_loss=0.08451, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 08:26:03,951 INFO [train.py:885] (1/2) Epoch 4, batch 9050, loss[loss=0.2826, simple_loss=0.3381, pruned_loss=0.1136, over 14043.00 frames. utt_duration=574.7 frames, utt_pad_proportion=0.05473, over 98.00 utterances.], tot_loss[loss=0.3565, simple_loss=0.3978, pruned_loss=0.1576, over 2784340.91 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06725, over 43143.34 utterances.], batch size: 98, lr: 9.24e-04
+2022-09-17 08:26:33,986 INFO [train.py:885] (1/2) Epoch 4, batch 9100, loss[loss=0.3597, simple_loss=0.3942, pruned_loss=0.1625, over 14313.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04045, over 154.00 utterances.], tot_loss[loss=0.359, simple_loss=0.3995, pruned_loss=0.1593, over 2783648.04 frames. utt_duration=256.8 frames, utt_pad_proportion=0.07015, over 43614.57 utterances.], batch size: 154, lr: 9.23e-04
+2022-09-17 08:27:03,556 INFO [train.py:885] (1/2) Epoch 4, batch 9150, loss[loss=0.2767, simple_loss=0.32, pruned_loss=0.1167, over 13338.00 frames. utt_duration=1068 frames, utt_pad_proportion=0.09309, over 50.00 utterances.], tot_loss[loss=0.3592, simple_loss=0.3999, pruned_loss=0.1592, over 2781381.18 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06935, over 44068.74 utterances.], batch size: 50, lr: 9.23e-04
+2022-09-17 08:27:32,907 INFO [train.py:885] (1/2) Epoch 4, batch 9200, loss[loss=0.3292, simple_loss=0.3611, pruned_loss=0.1487, over 14102.00 frames. utt_duration=518.9 frames, utt_pad_proportion=0.04964, over 109.00 utterances.], tot_loss[loss=0.3607, simple_loss=0.4018, pruned_loss=0.1597, over 2785899.16 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06996, over 44669.76 utterances.], batch size: 109, lr: 9.22e-04
+2022-09-17 08:28:02,804 INFO [train.py:885] (1/2) Epoch 4, batch 9250, loss[loss=0.2428, simple_loss=0.265, pruned_loss=0.1103, over 12971.00 frames. utt_duration=2077 frames, utt_pad_proportion=0.1189, over 25.00 utterances.], tot_loss[loss=0.3589, simple_loss=0.4003, pruned_loss=0.1588, over 2782573.04 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07081, over 44293.27 utterances.], batch size: 25, lr: 9.22e-04
+2022-09-17 08:28:32,121 INFO [train.py:885] (1/2) Epoch 4, batch 9300, loss[loss=0.1941, simple_loss=0.2555, pruned_loss=0.06629, over 13917.00 frames. utt_duration=808.3 frames, utt_pad_proportion=0.059, over 69.00 utterances.], tot_loss[loss=0.3607, simple_loss=0.4016, pruned_loss=0.1599, over 2779195.75 frames. utt_duration=250.6 frames, utt_pad_proportion=0.0701, over 44622.13 utterances.], batch size: 69, lr: 9.21e-04
+2022-09-17 08:29:01,662 INFO [train.py:885] (1/2) Epoch 4, batch 9350, loss[loss=0.285, simple_loss=0.3395, pruned_loss=0.1153, over 14134.00 frames. utt_duration=520 frames, utt_pad_proportion=0.04759, over 109.00 utterances.], tot_loss[loss=0.3604, simple_loss=0.4017, pruned_loss=0.1595, over 2776647.31 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07088, over 44889.18 utterances.], batch size: 109, lr: 9.21e-04
+2022-09-17 08:29:31,866 INFO [train.py:885] (1/2) Epoch 4, batch 9400, loss[loss=0.3103, simple_loss=0.3607, pruned_loss=0.13, over 14290.00 frames. utt_duration=441 frames, utt_pad_proportion=0.03922, over 130.00 utterances.], tot_loss[loss=0.3646, simple_loss=0.4047, pruned_loss=0.1623, over 2769718.11 frames. utt_duration=241.5 frames, utt_pad_proportion=0.0753, over 46164.82 utterances.], batch size: 130, lr: 9.20e-04
+2022-09-17 08:30:01,293 INFO [train.py:885] (1/2) Epoch 4, batch 9450, loss[loss=0.2559, simple_loss=0.3018, pruned_loss=0.1051, over 12330.00 frames. utt_duration=2056 frames, utt_pad_proportion=0.1661, over 24.00 utterances.], tot_loss[loss=0.37, simple_loss=0.4095, pruned_loss=0.1652, over 2766919.13 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07691, over 47713.67 utterances.], batch size: 24, lr: 9.20e-04
+2022-09-17 08:30:31,284 INFO [train.py:885] (1/2) Epoch 4, batch 9500, loss[loss=0.495, simple_loss=0.5409, pruned_loss=0.2246, over 13150.00 frames. utt_duration=82.11 frames, utt_pad_proportion=0.1075, over 653.00 utterances.], tot_loss[loss=0.3689, simple_loss=0.4086, pruned_loss=0.1646, over 2766314.09 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07838, over 47782.24 utterances.], batch size: 653, lr: 9.19e-04
+2022-09-17 08:31:00,839 INFO [train.py:885] (1/2) Epoch 4, batch 9550, loss[loss=0.4083, simple_loss=0.4673, pruned_loss=0.1746, over 13737.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07378, over 411.00 utterances.], tot_loss[loss=0.3708, simple_loss=0.4103, pruned_loss=0.1657, over 2770091.15 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07772, over 48150.11 utterances.], batch size: 411, lr: 9.19e-04
+2022-09-17 08:31:29,805 INFO [train.py:885] (1/2) Epoch 4, batch 9600, loss[loss=0.3597, simple_loss=0.3898, pruned_loss=0.1648, over 14190.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04349, over 109.00 utterances.], tot_loss[loss=0.3634, simple_loss=0.4037, pruned_loss=0.1615, over 2777507.40 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07416, over 45402.55 utterances.], batch size: 109, lr: 9.18e-04
+2022-09-17 08:31:59,436 INFO [train.py:885] (1/2) Epoch 4, batch 9650, loss[loss=0.269, simple_loss=0.3188, pruned_loss=0.1096, over 14012.00 frames. utt_duration=711 frames, utt_pad_proportion=0.05947, over 79.00 utterances.], tot_loss[loss=0.3655, simple_loss=0.4056, pruned_loss=0.1627, over 2778589.99 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07166, over 45563.91 utterances.], batch size: 79, lr: 9.18e-04
+2022-09-17 08:32:28,934 INFO [train.py:885] (1/2) Epoch 4, batch 9700, loss[loss=0.3036, simple_loss=0.3349, pruned_loss=0.1361, over 14256.00 frames. utt_duration=642.2 frames, utt_pad_proportion=0.04295, over 89.00 utterances.], tot_loss[loss=0.3653, simple_loss=0.4055, pruned_loss=0.1626, over 2782238.12 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07074, over 44814.35 utterances.], batch size: 89, lr: 9.17e-04
+2022-09-17 08:32:58,841 INFO [train.py:885] (1/2) Epoch 4, batch 9750, loss[loss=0.3814, simple_loss=0.4144, pruned_loss=0.1742, over 14327.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03877, over 262.00 utterances.], tot_loss[loss=0.3651, simple_loss=0.4056, pruned_loss=0.1624, over 2782357.66 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07056, over 45558.22 utterances.], batch size: 262, lr: 9.17e-04
+2022-09-17 08:33:28,819 INFO [train.py:885] (1/2) Epoch 4, batch 9800, loss[loss=0.3692, simple_loss=0.4338, pruned_loss=0.1523, over 14015.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05464, over 365.00 utterances.], tot_loss[loss=0.3627, simple_loss=0.4039, pruned_loss=0.1608, over 2786579.15 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06841, over 44877.53 utterances.], batch size: 365, lr: 9.16e-04
+2022-09-17 08:33:57,347 INFO [train.py:885] (1/2) Epoch 4, batch 9850, loss[loss=0.4023, simple_loss=0.4406, pruned_loss=0.1821, over 14304.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03952, over 283.00 utterances.], tot_loss[loss=0.3609, simple_loss=0.4023, pruned_loss=0.1598, over 2786565.69 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06731, over 44324.94 utterances.], batch size: 283, lr: 9.16e-04
+2022-09-17 08:34:27,201 INFO [train.py:885] (1/2) Epoch 4, batch 9900, loss[loss=0.2162, simple_loss=0.2764, pruned_loss=0.07799, over 14194.00 frames. utt_duration=639.2 frames, utt_pad_proportion=0.04597, over 89.00 utterances.], tot_loss[loss=0.3669, simple_loss=0.4077, pruned_loss=0.163, over 2786336.36 frames. utt_duration=242.6 frames, utt_pad_proportion=0.06932, over 46218.82 utterances.], batch size: 89, lr: 9.16e-04
+2022-09-17 08:34:57,330 INFO [train.py:885] (1/2) Epoch 4, batch 9950, loss[loss=0.4347, simple_loss=0.4542, pruned_loss=0.2076, over 14207.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0443, over 306.00 utterances.], tot_loss[loss=0.3644, simple_loss=0.4057, pruned_loss=0.1615, over 2786619.81 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06967, over 45697.90 utterances.], batch size: 306, lr: 9.15e-04
+2022-09-17 08:35:26,505 INFO [train.py:885] (1/2) Epoch 4, batch 10000, loss[loss=0.2504, simple_loss=0.3071, pruned_loss=0.09683, over 13997.00 frames. utt_duration=710.3 frames, utt_pad_proportion=0.0555, over 79.00 utterances.], tot_loss[loss=0.3623, simple_loss=0.4041, pruned_loss=0.1603, over 2788018.31 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06878, over 45120.67 utterances.], batch size: 79, lr: 9.15e-04
+2022-09-17 08:35:56,023 INFO [train.py:885] (1/2) Epoch 4, batch 10050, loss[loss=0.378, simple_loss=0.4503, pruned_loss=0.1529, over 13666.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07795, over 477.00 utterances.], tot_loss[loss=0.3632, simple_loss=0.4053, pruned_loss=0.1605, over 2788524.32 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06932, over 46056.88 utterances.], batch size: 477, lr: 9.14e-04
+2022-09-17 08:36:25,867 INFO [train.py:885] (1/2) Epoch 4, batch 10100, loss[loss=0.3394, simple_loss=0.369, pruned_loss=0.1549, over 14160.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.04547, over 109.00 utterances.], tot_loss[loss=0.3651, simple_loss=0.4072, pruned_loss=0.1615, over 2783951.60 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07163, over 47305.48 utterances.], batch size: 109, lr: 9.14e-04
+2022-09-17 08:36:55,837 INFO [train.py:885] (1/2) Epoch 4, batch 10150, loss[loss=0.3069, simple_loss=0.3689, pruned_loss=0.1224, over 14301.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.04028, over 130.00 utterances.], tot_loss[loss=0.3554, simple_loss=0.3985, pruned_loss=0.1561, over 2778369.83 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07107, over 44429.08 utterances.], batch size: 130, lr: 9.13e-04
+2022-09-17 08:37:24,828 INFO [train.py:885] (1/2) Epoch 4, batch 10200, loss[loss=0.2546, simple_loss=0.3209, pruned_loss=0.09417, over 13881.00 frames. utt_duration=926.9 frames, utt_pad_proportion=0.06843, over 60.00 utterances.], tot_loss[loss=0.3553, simple_loss=0.3975, pruned_loss=0.1566, over 2774537.06 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07131, over 43792.74 utterances.], batch size: 60, lr: 9.13e-04
+2022-09-17 08:37:54,422 INFO [train.py:885] (1/2) Epoch 4, batch 10250, loss[loss=0.4371, simple_loss=0.4562, pruned_loss=0.209, over 14323.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03907, over 262.00 utterances.], tot_loss[loss=0.3572, simple_loss=0.3994, pruned_loss=0.1575, over 2776026.49 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07169, over 44881.78 utterances.], batch size: 262, lr: 9.12e-04
+2022-09-17 08:38:24,309 INFO [train.py:885] (1/2) Epoch 4, batch 10300, loss[loss=0.2931, simple_loss=0.3337, pruned_loss=0.1262, over 13054.00 frames. utt_duration=1584 frames, utt_pad_proportion=0.123, over 33.00 utterances.], tot_loss[loss=0.3569, simple_loss=0.3989, pruned_loss=0.1574, over 2775159.85 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07268, over 44799.17 utterances.], batch size: 33, lr: 9.12e-04
+2022-09-17 08:38:54,024 INFO [train.py:885] (1/2) Epoch 4, batch 10350, loss[loss=0.2177, simple_loss=0.2785, pruned_loss=0.07845, over 13888.00 frames. utt_duration=806.3 frames, utt_pad_proportion=0.06133, over 69.00 utterances.], tot_loss[loss=0.3581, simple_loss=0.3996, pruned_loss=0.1583, over 2773508.12 frames. utt_duration=250.3 frames, utt_pad_proportion=0.0723, over 44585.25 utterances.], batch size: 69, lr: 9.11e-04
+2022-09-17 08:39:24,432 INFO [train.py:885] (1/2) Epoch 4, batch 10400, loss[loss=0.2055, simple_loss=0.253, pruned_loss=0.07896, over 12505.00 frames. utt_duration=2086 frames, utt_pad_proportion=0.1562, over 24.00 utterances.], tot_loss[loss=0.3615, simple_loss=0.4027, pruned_loss=0.1601, over 2772983.00 frames. utt_duration=243.3 frames, utt_pad_proportion=0.074, over 45859.38 utterances.], batch size: 24, lr: 9.11e-04
+2022-09-17 08:39:53,255 INFO [train.py:885] (1/2) Epoch 4, batch 10450, loss[loss=0.3118, simple_loss=0.3546, pruned_loss=0.1345, over 14078.00 frames. utt_duration=714.1 frames, utt_pad_proportion=0.05549, over 79.00 utterances.], tot_loss[loss=0.3572, simple_loss=0.3983, pruned_loss=0.158, over 2778050.68 frames. utt_duration=257.2 frames, utt_pad_proportion=0.07213, over 43461.09 utterances.], batch size: 79, lr: 9.10e-04
+2022-09-17 08:40:22,891 INFO [train.py:885] (1/2) Epoch 4, batch 10500, loss[loss=0.2478, simple_loss=0.3108, pruned_loss=0.09236, over 13851.00 frames. utt_duration=804.5 frames, utt_pad_proportion=0.0634, over 69.00 utterances.], tot_loss[loss=0.3595, simple_loss=0.4005, pruned_loss=0.1593, over 2776213.56 frames. utt_duration=252.6 frames, utt_pad_proportion=0.0726, over 44222.96 utterances.], batch size: 69, lr: 9.10e-04
+2022-09-17 08:40:52,413 INFO [train.py:885] (1/2) Epoch 4, batch 10550, loss[loss=0.2172, simple_loss=0.2526, pruned_loss=0.09094, over 13033.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.1244, over 33.00 utterances.], tot_loss[loss=0.3626, simple_loss=0.4039, pruned_loss=0.1607, over 2775160.10 frames. utt_duration=242.7 frames, utt_pad_proportion=0.0741, over 46014.43 utterances.], batch size: 33, lr: 9.09e-04
+2022-09-17 08:41:21,942 INFO [train.py:885] (1/2) Epoch 4, batch 10600, loss[loss=0.2126, simple_loss=0.2442, pruned_loss=0.09052, over 13156.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.1153, over 33.00 utterances.], tot_loss[loss=0.364, simple_loss=0.4059, pruned_loss=0.161, over 2777860.63 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07366, over 46889.03 utterances.], batch size: 33, lr: 9.09e-04
+2022-09-17 08:41:52,085 INFO [train.py:885] (1/2) Epoch 4, batch 10650, loss[loss=0.4136, simple_loss=0.4538, pruned_loss=0.1867, over 14347.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03439, over 244.00 utterances.], tot_loss[loss=0.3624, simple_loss=0.4044, pruned_loss=0.1603, over 2775311.04 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07392, over 45883.69 utterances.], batch size: 244, lr: 9.08e-04
+2022-09-17 08:42:21,153 INFO [train.py:885] (1/2) Epoch 4, batch 10700, loss[loss=0.2473, simple_loss=0.3096, pruned_loss=0.09251, over 14064.00 frames. utt_duration=713.7 frames, utt_pad_proportion=0.05597, over 79.00 utterances.], tot_loss[loss=0.3651, simple_loss=0.4071, pruned_loss=0.1615, over 2774446.10 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07611, over 46906.36 utterances.], batch size: 79, lr: 9.08e-04
+2022-09-17 08:42:50,543 INFO [train.py:885] (1/2) Epoch 4, batch 10750, loss[loss=0.2975, simple_loss=0.3633, pruned_loss=0.1159, over 14351.00 frames. utt_duration=479.8 frames, utt_pad_proportion=0.03843, over 120.00 utterances.], tot_loss[loss=0.3685, simple_loss=0.4099, pruned_loss=0.1635, over 2778237.03 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07474, over 47455.38 utterances.], batch size: 120, lr: 9.08e-04
+2022-09-17 08:43:19,978 INFO [train.py:885] (1/2) Epoch 4, batch 10800, loss[loss=0.1833, simple_loss=0.24, pruned_loss=0.06331, over 13379.00 frames. utt_duration=1276 frames, utt_pad_proportion=0.1011, over 42.00 utterances.], tot_loss[loss=0.3668, simple_loss=0.4077, pruned_loss=0.1629, over 2774327.75 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07421, over 46172.91 utterances.], batch size: 42, lr: 9.07e-04
+2022-09-17 08:43:49,154 INFO [train.py:885] (1/2) Epoch 4, batch 10850, loss[loss=0.4575, simple_loss=0.4676, pruned_loss=0.2237, over 14241.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04619, over 141.00 utterances.], tot_loss[loss=0.3645, simple_loss=0.4062, pruned_loss=0.1613, over 2781899.20 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07149, over 45458.60 utterances.], batch size: 141, lr: 9.07e-04
+2022-09-17 08:44:18,538 INFO [train.py:885] (1/2) Epoch 4, batch 10900, loss[loss=0.2744, simple_loss=0.3292, pruned_loss=0.1099, over 14170.00 frames. utt_duration=638.2 frames, utt_pad_proportion=0.04891, over 89.00 utterances.], tot_loss[loss=0.3644, simple_loss=0.4059, pruned_loss=0.1614, over 2781062.66 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07265, over 45957.65 utterances.], batch size: 89, lr: 9.06e-04
+2022-09-17 08:44:48,069 INFO [train.py:885] (1/2) Epoch 4, batch 10950, loss[loss=0.3974, simple_loss=0.4346, pruned_loss=0.1801, over 14347.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03637, over 195.00 utterances.], tot_loss[loss=0.3639, simple_loss=0.406, pruned_loss=0.1609, over 2781051.45 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07279, over 46802.83 utterances.], batch size: 195, lr: 9.06e-04
+2022-09-17 08:45:17,251 INFO [train.py:885] (1/2) Epoch 4, batch 11000, loss[loss=0.2523, simple_loss=0.2997, pruned_loss=0.1024, over 14226.00 frames. utt_duration=641 frames, utt_pad_proportion=0.04476, over 89.00 utterances.], tot_loss[loss=0.3654, simple_loss=0.4068, pruned_loss=0.162, over 2785297.06 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07094, over 46491.46 utterances.], batch size: 89, lr: 9.05e-04
+2022-09-17 08:45:46,955 INFO [train.py:885] (1/2) Epoch 4, batch 11050, loss[loss=0.4022, simple_loss=0.4583, pruned_loss=0.1731, over 13717.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07543, over 411.00 utterances.], tot_loss[loss=0.3642, simple_loss=0.406, pruned_loss=0.1612, over 2785173.73 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07043, over 46625.85 utterances.], batch size: 411, lr: 9.05e-04
+2022-09-17 08:46:16,404 INFO [train.py:885] (1/2) Epoch 4, batch 11100, loss[loss=0.3067, simple_loss=0.362, pruned_loss=0.1257, over 14254.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04522, over 141.00 utterances.], tot_loss[loss=0.3685, simple_loss=0.4102, pruned_loss=0.1635, over 2787757.01 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07097, over 48198.92 utterances.], batch size: 141, lr: 9.04e-04
+2022-09-17 08:46:45,926 INFO [train.py:885] (1/2) Epoch 4, batch 11150, loss[loss=0.1969, simple_loss=0.2401, pruned_loss=0.07688, over 13184.00 frames. utt_duration=1599 frames, utt_pad_proportion=0.1154, over 33.00 utterances.], tot_loss[loss=0.3657, simple_loss=0.4064, pruned_loss=0.1625, over 2785693.15 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07112, over 46417.98 utterances.], batch size: 33, lr: 9.04e-04
+2022-09-17 08:47:15,532 INFO [train.py:885] (1/2) Epoch 4, batch 11200, loss[loss=0.4332, simple_loss=0.4458, pruned_loss=0.2103, over 14340.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03668, over 195.00 utterances.], tot_loss[loss=0.3686, simple_loss=0.4096, pruned_loss=0.1638, over 2779203.34 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07494, over 48405.89 utterances.], batch size: 195, lr: 9.03e-04
+2022-09-17 08:47:45,532 INFO [train.py:885] (1/2) Epoch 4, batch 11250, loss[loss=0.3511, simple_loss=0.4085, pruned_loss=0.1468, over 14350.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03616, over 195.00 utterances.], tot_loss[loss=0.3695, simple_loss=0.4108, pruned_loss=0.1642, over 2783682.33 frames. utt_duration=231.5 frames, utt_pad_proportion=0.07289, over 48416.34 utterances.], batch size: 195, lr: 9.03e-04
+2022-09-17 08:48:15,024 INFO [train.py:885] (1/2) Epoch 4, batch 11300, loss[loss=0.3441, simple_loss=0.4059, pruned_loss=0.1411, over 14340.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03679, over 210.00 utterances.], tot_loss[loss=0.3717, simple_loss=0.4122, pruned_loss=0.1656, over 2774010.36 frames. utt_duration=224.3 frames, utt_pad_proportion=0.07515, over 49797.10 utterances.], batch size: 210, lr: 9.03e-04
+2022-09-17 08:48:44,220 INFO [train.py:885] (1/2) Epoch 4, batch 11350, loss[loss=0.4482, simple_loss=0.4631, pruned_loss=0.2167, over 14223.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0437, over 306.00 utterances.], tot_loss[loss=0.3718, simple_loss=0.4122, pruned_loss=0.1657, over 2778513.28 frames. utt_duration=227.5 frames, utt_pad_proportion=0.07361, over 49177.58 utterances.], batch size: 306, lr: 9.02e-04
+2022-09-17 08:49:13,559 INFO [train.py:885] (1/2) Epoch 4, batch 11400, loss[loss=0.377, simple_loss=0.4264, pruned_loss=0.1638, over 14351.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03657, over 283.00 utterances.], tot_loss[loss=0.3726, simple_loss=0.4129, pruned_loss=0.1661, over 2779517.68 frames. utt_duration=226.5 frames, utt_pad_proportion=0.0739, over 49414.50 utterances.], batch size: 283, lr: 9.02e-04
+2022-09-17 08:49:42,998 INFO [train.py:885] (1/2) Epoch 4, batch 11450, loss[loss=0.476, simple_loss=0.5382, pruned_loss=0.2069, over 13166.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.3669, simple_loss=0.4081, pruned_loss=0.1628, over 2777642.78 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07429, over 48151.99 utterances.], batch size: 653, lr: 9.01e-04
+2022-09-17 08:50:12,612 INFO [train.py:885] (1/2) Epoch 4, batch 11500, loss[loss=0.3007, simple_loss=0.3518, pruned_loss=0.1248, over 14136.00 frames. utt_duration=578.4 frames, utt_pad_proportion=0.0502, over 98.00 utterances.], tot_loss[loss=0.3635, simple_loss=0.4054, pruned_loss=0.1608, over 2776961.04 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07412, over 47429.25 utterances.], batch size: 98, lr: 9.01e-04
+2022-09-17 08:50:42,085 INFO [train.py:885] (1/2) Epoch 4, batch 11550, loss[loss=0.4095, simple_loss=0.4327, pruned_loss=0.1931, over 14340.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.0369, over 195.00 utterances.], tot_loss[loss=0.3649, simple_loss=0.4059, pruned_loss=0.1619, over 2780453.37 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07358, over 46967.91 utterances.], batch size: 195, lr: 9.00e-04
+2022-09-17 08:51:11,884 INFO [train.py:885] (1/2) Epoch 4, batch 11600, loss[loss=0.3966, simple_loss=0.4373, pruned_loss=0.178, over 14348.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03682, over 283.00 utterances.], tot_loss[loss=0.3622, simple_loss=0.4037, pruned_loss=0.1604, over 2781051.53 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07372, over 46112.03 utterances.], batch size: 283, lr: 9.00e-04
+2022-09-17 08:51:41,127 INFO [train.py:885] (1/2) Epoch 4, batch 11650, loss[loss=0.3057, simple_loss=0.3487, pruned_loss=0.1314, over 14062.00 frames. utt_duration=575.3 frames, utt_pad_proportion=0.05531, over 98.00 utterances.], tot_loss[loss=0.3616, simple_loss=0.4031, pruned_loss=0.16, over 2780831.77 frames. utt_duration=246 frames, utt_pad_proportion=0.07213, over 45488.91 utterances.], batch size: 98, lr: 8.99e-04
+2022-09-17 08:52:10,676 INFO [train.py:885] (1/2) Epoch 4, batch 11700, loss[loss=0.3458, simple_loss=0.4067, pruned_loss=0.1424, over 14317.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03832, over 226.00 utterances.], tot_loss[loss=0.3631, simple_loss=0.4054, pruned_loss=0.1604, over 2781799.91 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07243, over 46516.28 utterances.], batch size: 226, lr: 8.99e-04
+2022-09-17 08:52:40,515 INFO [train.py:885] (1/2) Epoch 4, batch 11750, loss[loss=0.3159, simple_loss=0.3558, pruned_loss=0.138, over 14144.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04648, over 109.00 utterances.], tot_loss[loss=0.3626, simple_loss=0.4046, pruned_loss=0.1603, over 2784168.59 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07045, over 46021.61 utterances.], batch size: 109, lr: 8.98e-04
+2022-09-17 08:53:10,436 INFO [train.py:885] (1/2) Epoch 4, batch 11800, loss[loss=0.3914, simple_loss=0.4166, pruned_loss=0.1831, over 14216.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.04551, over 141.00 utterances.], tot_loss[loss=0.3595, simple_loss=0.4018, pruned_loss=0.1586, over 2781438.72 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06994, over 45179.86 utterances.], batch size: 141, lr: 8.98e-04
+2022-09-17 08:53:39,782 INFO [train.py:885] (1/2) Epoch 4, batch 11850, loss[loss=0.2541, simple_loss=0.3043, pruned_loss=0.1019, over 13817.00 frames. utt_duration=802.5 frames, utt_pad_proportion=0.06468, over 69.00 utterances.], tot_loss[loss=0.3605, simple_loss=0.4018, pruned_loss=0.1596, over 2784603.90 frames. utt_duration=253 frames, utt_pad_proportion=0.06914, over 44280.66 utterances.], batch size: 69, lr: 8.98e-04
+2022-09-17 08:54:08,878 INFO [train.py:885] (1/2) Epoch 4, batch 11900, loss[loss=0.3782, simple_loss=0.4252, pruned_loss=0.1656, over 14334.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03981, over 167.00 utterances.], tot_loss[loss=0.3543, simple_loss=0.3967, pruned_loss=0.156, over 2785337.46 frames. utt_duration=264.2 frames, utt_pad_proportion=0.06777, over 42405.07 utterances.], batch size: 167, lr: 8.97e-04
+2022-09-17 08:54:38,352 INFO [train.py:885] (1/2) Epoch 4, batch 11950, loss[loss=0.3737, simple_loss=0.4335, pruned_loss=0.157, over 13997.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05561, over 365.00 utterances.], tot_loss[loss=0.3598, simple_loss=0.4016, pruned_loss=0.1589, over 2783374.83 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07052, over 44521.77 utterances.], batch size: 365, lr: 8.97e-04
+2022-09-17 08:55:08,175 INFO [train.py:885] (1/2) Epoch 4, batch 12000, loss[loss=0.6362, simple_loss=0.6634, pruned_loss=0.3045, over 12476.00 frames. utt_duration=63.19 frames, utt_pad_proportion=0.1461, over 810.00 utterances.], tot_loss[loss=0.3617, simple_loss=0.4034, pruned_loss=0.1599, over 2778342.79 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07304, over 45928.08 utterances.], batch size: 810, lr: 8.96e-04
+2022-09-17 08:55:08,176 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 08:55:12,846 INFO [train.py:914] (1/2) Epoch 4, validation: loss=0.2384, simple_loss=0.3097, pruned_loss=0.08354, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 08:55:41,944 INFO [train.py:885] (1/2) Epoch 4, batch 12050, loss[loss=0.4679, simple_loss=0.4743, pruned_loss=0.2308, over 14217.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04346, over 335.00 utterances.], tot_loss[loss=0.3614, simple_loss=0.4025, pruned_loss=0.1601, over 2782547.45 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07044, over 44849.99 utterances.], batch size: 335, lr: 8.96e-04
+2022-09-17 08:56:12,332 INFO [train.py:885] (1/2) Epoch 4, batch 12100, loss[loss=0.2595, simple_loss=0.3074, pruned_loss=0.1058, over 13538.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.09023, over 50.00 utterances.], tot_loss[loss=0.3563, simple_loss=0.3984, pruned_loss=0.1571, over 2778420.48 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06986, over 44078.47 utterances.], batch size: 50, lr: 8.95e-04
+2022-09-17 08:56:41,985 INFO [train.py:885] (1/2) Epoch 4, batch 12150, loss[loss=0.3273, simple_loss=0.382, pruned_loss=0.1363, over 14295.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03906, over 180.00 utterances.], tot_loss[loss=0.3567, simple_loss=0.3994, pruned_loss=0.157, over 2778577.16 frames. utt_duration=246.7 frames, utt_pad_proportion=0.06922, over 45327.00 utterances.], batch size: 180, lr: 8.95e-04
+2022-09-17 08:57:11,174 INFO [train.py:885] (1/2) Epoch 4, batch 12200, loss[loss=0.327, simple_loss=0.3892, pruned_loss=0.1324, over 14350.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.0359, over 154.00 utterances.], tot_loss[loss=0.3523, simple_loss=0.3958, pruned_loss=0.1544, over 2779281.18 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06743, over 43892.49 utterances.], batch size: 154, lr: 8.94e-04
+2022-09-17 08:57:40,999 INFO [train.py:885] (1/2) Epoch 4, batch 12250, loss[loss=0.7308, simple_loss=0.7287, pruned_loss=0.3664, over 12531.00 frames. utt_duration=63.39 frames, utt_pad_proportion=0.1434, over 810.00 utterances.], tot_loss[loss=0.3522, simple_loss=0.3954, pruned_loss=0.1545, over 2780758.02 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06815, over 43820.99 utterances.], batch size: 810, lr: 8.94e-04
+2022-09-17 08:58:09,946 INFO [train.py:885] (1/2) Epoch 4, batch 12300, loss[loss=0.4093, simple_loss=0.4301, pruned_loss=0.1942, over 14277.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.04194, over 130.00 utterances.], tot_loss[loss=0.3541, simple_loss=0.3969, pruned_loss=0.1557, over 2783108.69 frames. utt_duration=253 frames, utt_pad_proportion=0.06771, over 44252.46 utterances.], batch size: 130, lr: 8.94e-04
+2022-09-17 08:58:40,275 INFO [train.py:885] (1/2) Epoch 4, batch 12350, loss[loss=0.3984, simple_loss=0.4686, pruned_loss=0.1641, over 13658.00 frames. utt_duration=98.96 frames, utt_pad_proportion=0.07517, over 560.00 utterances.], tot_loss[loss=0.3566, simple_loss=0.399, pruned_loss=0.1571, over 2784143.68 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06752, over 44948.36 utterances.], batch size: 560, lr: 8.93e-04
+2022-09-17 08:59:09,545 INFO [train.py:885] (1/2) Epoch 4, batch 12400, loss[loss=0.3431, simple_loss=0.3888, pruned_loss=0.1487, over 14343.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03948, over 167.00 utterances.], tot_loss[loss=0.3555, simple_loss=0.3975, pruned_loss=0.1568, over 2785962.04 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06684, over 43716.09 utterances.], batch size: 167, lr: 8.93e-04
+2022-09-17 08:59:39,534 INFO [train.py:885] (1/2) Epoch 4, batch 12450, loss[loss=0.5314, simple_loss=0.5125, pruned_loss=0.2752, over 14237.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04264, over 335.00 utterances.], tot_loss[loss=0.359, simple_loss=0.401, pruned_loss=0.1585, over 2785900.42 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06899, over 45264.64 utterances.], batch size: 335, lr: 8.92e-04
+2022-09-17 09:00:08,983 INFO [train.py:885] (1/2) Epoch 4, batch 12500, loss[loss=0.4165, simple_loss=0.4456, pruned_loss=0.1937, over 14225.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04386, over 335.00 utterances.], tot_loss[loss=0.3537, simple_loss=0.3962, pruned_loss=0.1556, over 2783592.20 frames. utt_duration=255 frames, utt_pad_proportion=0.06971, over 43926.12 utterances.], batch size: 335, lr: 8.92e-04
+2022-09-17 09:00:39,083 INFO [train.py:885] (1/2) Epoch 4, batch 12550, loss[loss=0.3167, simple_loss=0.3634, pruned_loss=0.135, over 14229.00 frames. utt_duration=523.7 frames, utt_pad_proportion=0.04093, over 109.00 utterances.], tot_loss[loss=0.3532, simple_loss=0.3957, pruned_loss=0.1553, over 2782840.57 frames. utt_duration=258.7 frames, utt_pad_proportion=0.06927, over 43272.32 utterances.], batch size: 109, lr: 8.91e-04
+2022-09-17 09:01:06,218 INFO [train.py:885] (1/2) Epoch 4, batch 12600, loss[loss=0.2556, simple_loss=0.3159, pruned_loss=0.09765, over 14178.00 frames. utt_duration=580.3 frames, utt_pad_proportion=0.04876, over 98.00 utterances.], tot_loss[loss=0.3529, simple_loss=0.3953, pruned_loss=0.1553, over 2780665.50 frames. utt_duration=260.7 frames, utt_pad_proportion=0.06964, over 42900.99 utterances.], batch size: 98, lr: 8.91e-04
+2022-09-17 09:01:24,765 INFO [train.py:885] (1/2) Epoch 5, batch 0, loss[loss=0.3758, simple_loss=0.4254, pruned_loss=0.1631, over 14369.00 frames. utt_duration=237 frames, utt_pad_proportion=0.0327, over 244.00 utterances.], tot_loss[loss=0.3758, simple_loss=0.4254, pruned_loss=0.1631, over 14369.00 frames. utt_duration=237 frames, utt_pad_proportion=0.0327, over 244.00 utterances.], batch size: 244, lr: 8.59e-04
+2022-09-17 09:01:53,946 INFO [train.py:885] (1/2) Epoch 5, batch 50, loss[loss=0.3479, simple_loss=0.3895, pruned_loss=0.1532, over 14200.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.04893, over 141.00 utterances.], tot_loss[loss=0.3709, simple_loss=0.4124, pruned_loss=0.1647, over 626520.33 frames. utt_duration=220.9 frames, utt_pad_proportion=0.07331, over 11420.62 utterances.], batch size: 141, lr: 8.59e-04
+2022-09-17 09:02:23,481 INFO [train.py:885] (1/2) Epoch 5, batch 100, loss[loss=0.2309, simple_loss=0.2925, pruned_loss=0.08464, over 12518.00 frames. utt_duration=2004 frames, utt_pad_proportion=0.1497, over 25.00 utterances.], tot_loss[loss=0.3536, simple_loss=0.3955, pruned_loss=0.1558, over 1105415.04 frames. utt_duration=264.6 frames, utt_pad_proportion=0.06742, over 16804.66 utterances.], batch size: 25, lr: 8.58e-04
+2022-09-17 09:02:52,920 INFO [train.py:885] (1/2) Epoch 5, batch 150, loss[loss=0.3997, simple_loss=0.4581, pruned_loss=0.1706, over 13822.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06831, over 411.00 utterances.], tot_loss[loss=0.3642, simple_loss=0.4054, pruned_loss=0.1615, over 1469505.73 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07659, over 25123.36 utterances.], batch size: 411, lr: 8.58e-04
+2022-09-17 09:03:22,687 INFO [train.py:885] (1/2) Epoch 5, batch 200, loss[loss=0.536, simple_loss=0.5693, pruned_loss=0.2513, over 13157.00 frames. utt_duration=82.16 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.3588, simple_loss=0.4001, pruned_loss=0.1588, over 1756966.65 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07369, over 28832.52 utterances.], batch size: 653, lr: 8.57e-04
+2022-09-17 09:03:52,735 INFO [train.py:885] (1/2) Epoch 5, batch 250, loss[loss=0.4265, simple_loss=0.4525, pruned_loss=0.2003, over 14282.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.04002, over 225.00 utterances.], tot_loss[loss=0.3581, simple_loss=0.3995, pruned_loss=0.1583, over 1982351.96 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07225, over 32580.66 utterances.], batch size: 225, lr: 8.57e-04
+2022-09-17 09:04:22,167 INFO [train.py:885] (1/2) Epoch 5, batch 300, loss[loss=0.3563, simple_loss=0.4045, pruned_loss=0.1541, over 14282.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04138, over 262.00 utterances.], tot_loss[loss=0.3559, simple_loss=0.3982, pruned_loss=0.1568, over 2158565.16 frames. utt_duration=246 frames, utt_pad_proportion=0.07267, over 35312.17 utterances.], batch size: 262, lr: 8.57e-04
+2022-09-17 09:04:52,074 INFO [train.py:885] (1/2) Epoch 5, batch 350, loss[loss=0.4424, simple_loss=0.4599, pruned_loss=0.2125, over 14380.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03175, over 244.00 utterances.], tot_loss[loss=0.3613, simple_loss=0.4042, pruned_loss=0.1592, over 2291937.77 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07562, over 39844.75 utterances.], batch size: 244, lr: 8.56e-04
+2022-09-17 09:05:21,543 INFO [train.py:885] (1/2) Epoch 5, batch 400, loss[loss=0.2673, simple_loss=0.2944, pruned_loss=0.1201, over 13811.00 frames. utt_duration=922.4 frames, utt_pad_proportion=0.07302, over 60.00 utterances.], tot_loss[loss=0.3555, simple_loss=0.3987, pruned_loss=0.1562, over 2397034.46 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07463, over 40041.11 utterances.], batch size: 60, lr: 8.56e-04
+2022-09-17 09:05:50,985 INFO [train.py:885] (1/2) Epoch 5, batch 450, loss[loss=0.2254, simple_loss=0.2705, pruned_loss=0.09011, over 13213.00 frames. utt_duration=1603 frames, utt_pad_proportion=0.1133, over 33.00 utterances.], tot_loss[loss=0.353, simple_loss=0.3967, pruned_loss=0.1546, over 2483103.44 frames. utt_duration=243 frames, utt_pad_proportion=0.07318, over 41120.39 utterances.], batch size: 33, lr: 8.55e-04
+2022-09-17 09:06:20,234 INFO [train.py:885] (1/2) Epoch 5, batch 500, loss[loss=0.4445, simple_loss=0.4633, pruned_loss=0.2128, over 14328.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03752, over 195.00 utterances.], tot_loss[loss=0.3601, simple_loss=0.4021, pruned_loss=0.159, over 2548419.07 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07352, over 42798.16 utterances.], batch size: 195, lr: 8.55e-04
+2022-09-17 09:06:50,102 INFO [train.py:885] (1/2) Epoch 5, batch 550, loss[loss=0.4941, simple_loss=0.5372, pruned_loss=0.2255, over 13629.00 frames. utt_duration=98.75 frames, utt_pad_proportion=0.07712, over 560.00 utterances.], tot_loss[loss=0.3533, simple_loss=0.3966, pruned_loss=0.155, over 2600730.61 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06991, over 41433.62 utterances.], batch size: 560, lr: 8.55e-04
+2022-09-17 09:07:19,246 INFO [train.py:885] (1/2) Epoch 5, batch 600, loss[loss=0.3603, simple_loss=0.3931, pruned_loss=0.1638, over 14215.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.04803, over 141.00 utterances.], tot_loss[loss=0.3537, simple_loss=0.3983, pruned_loss=0.1546, over 2640112.25 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07294, over 44034.49 utterances.], batch size: 141, lr: 8.54e-04
+2022-09-17 09:07:48,690 INFO [train.py:885] (1/2) Epoch 5, batch 650, loss[loss=0.3984, simple_loss=0.4574, pruned_loss=0.1697, over 13781.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07118, over 411.00 utterances.], tot_loss[loss=0.3549, simple_loss=0.3993, pruned_loss=0.1553, over 2673458.32 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07256, over 44433.11 utterances.], batch size: 411, lr: 8.54e-04
+2022-09-17 09:08:17,994 INFO [train.py:885] (1/2) Epoch 5, batch 700, loss[loss=0.3739, simple_loss=0.4374, pruned_loss=0.1551, over 13802.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06989, over 411.00 utterances.], tot_loss[loss=0.3487, simple_loss=0.3934, pruned_loss=0.152, over 2697447.50 frames. utt_duration=255.2 frames, utt_pad_proportion=0.07089, over 42528.45 utterances.], batch size: 411, lr: 8.53e-04
+2022-09-17 09:08:47,912 INFO [train.py:885] (1/2) Epoch 5, batch 750, loss[loss=0.2459, simple_loss=0.2977, pruned_loss=0.097, over 13515.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.09081, over 50.00 utterances.], tot_loss[loss=0.3513, simple_loss=0.3959, pruned_loss=0.1533, over 2713083.81 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07279, over 43769.52 utterances.], batch size: 50, lr: 8.53e-04
+2022-09-17 09:09:17,156 INFO [train.py:885] (1/2) Epoch 5, batch 800, loss[loss=0.3471, simple_loss=0.3908, pruned_loss=0.1517, over 14113.00 frames. utt_duration=577.5 frames, utt_pad_proportion=0.05169, over 98.00 utterances.], tot_loss[loss=0.351, simple_loss=0.3958, pruned_loss=0.1531, over 2729867.70 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07327, over 43900.01 utterances.], batch size: 98, lr: 8.52e-04
+2022-09-17 09:09:47,140 INFO [train.py:885] (1/2) Epoch 5, batch 850, loss[loss=0.3374, simple_loss=0.4192, pruned_loss=0.1278, over 13715.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07534, over 411.00 utterances.], tot_loss[loss=0.3534, simple_loss=0.3978, pruned_loss=0.1545, over 2738213.66 frames. utt_duration=245 frames, utt_pad_proportion=0.07283, over 44982.23 utterances.], batch size: 411, lr: 8.52e-04
+2022-09-17 09:10:16,988 INFO [train.py:885] (1/2) Epoch 5, batch 900, loss[loss=0.4985, simple_loss=0.5006, pruned_loss=0.2482, over 14187.00 frames. utt_duration=170.6 frames, utt_pad_proportion=0.04666, over 335.00 utterances.], tot_loss[loss=0.3565, simple_loss=0.4006, pruned_loss=0.1562, over 2748067.32 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07387, over 45584.29 utterances.], batch size: 335, lr: 8.52e-04
+2022-09-17 09:10:46,341 INFO [train.py:885] (1/2) Epoch 5, batch 950, loss[loss=0.3033, simple_loss=0.3616, pruned_loss=0.1225, over 14305.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.04017, over 130.00 utterances.], tot_loss[loss=0.3601, simple_loss=0.404, pruned_loss=0.1581, over 2753003.07 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07545, over 47407.61 utterances.], batch size: 130, lr: 8.51e-04
+2022-09-17 09:11:16,095 INFO [train.py:885] (1/2) Epoch 5, batch 1000, loss[loss=0.3128, simple_loss=0.3595, pruned_loss=0.133, over 14170.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.04475, over 109.00 utterances.], tot_loss[loss=0.3564, simple_loss=0.4006, pruned_loss=0.1561, over 2760812.76 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07457, over 45901.53 utterances.], batch size: 109, lr: 8.51e-04
+2022-09-17 09:11:46,759 INFO [train.py:885] (1/2) Epoch 5, batch 1050, loss[loss=0.2532, simple_loss=0.308, pruned_loss=0.09919, over 14114.00 frames. utt_duration=577.6 frames, utt_pad_proportion=0.05154, over 98.00 utterances.], tot_loss[loss=0.3583, simple_loss=0.4029, pruned_loss=0.1568, over 2760311.87 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07459, over 47103.30 utterances.], batch size: 98, lr: 8.50e-04
+2022-09-17 09:12:15,338 INFO [train.py:885] (1/2) Epoch 5, batch 1100, loss[loss=0.439, simple_loss=0.4666, pruned_loss=0.2058, over 14212.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04443, over 335.00 utterances.], tot_loss[loss=0.3601, simple_loss=0.4043, pruned_loss=0.158, over 2766139.29 frames. utt_duration=234.8 frames, utt_pad_proportion=0.0742, over 47425.72 utterances.], batch size: 335, lr: 8.50e-04
+2022-09-17 09:12:45,924 INFO [train.py:885] (1/2) Epoch 5, batch 1150, loss[loss=0.4248, simple_loss=0.448, pruned_loss=0.2007, over 14239.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04153, over 306.00 utterances.], tot_loss[loss=0.3578, simple_loss=0.4011, pruned_loss=0.1573, over 2765440.02 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07213, over 45846.47 utterances.], batch size: 306, lr: 8.50e-04
+2022-09-17 09:13:15,121 INFO [train.py:885] (1/2) Epoch 5, batch 1200, loss[loss=0.4154, simple_loss=0.461, pruned_loss=0.1849, over 13946.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05942, over 365.00 utterances.], tot_loss[loss=0.3612, simple_loss=0.4044, pruned_loss=0.159, over 2771158.92 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07289, over 47159.56 utterances.], batch size: 365, lr: 8.49e-04
+2022-09-17 09:13:44,516 INFO [train.py:885] (1/2) Epoch 5, batch 1250, loss[loss=0.37, simple_loss=0.4108, pruned_loss=0.1646, over 14306.00 frames. utt_duration=344 frames, utt_pad_proportion=0.04187, over 167.00 utterances.], tot_loss[loss=0.3599, simple_loss=0.4034, pruned_loss=0.1583, over 2777140.57 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07219, over 47119.74 utterances.], batch size: 167, lr: 8.49e-04
+2022-09-17 09:14:13,569 INFO [train.py:885] (1/2) Epoch 5, batch 1300, loss[loss=0.2839, simple_loss=0.3379, pruned_loss=0.115, over 14196.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04335, over 109.00 utterances.], tot_loss[loss=0.3575, simple_loss=0.4014, pruned_loss=0.1568, over 2775047.61 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07195, over 46512.62 utterances.], batch size: 109, lr: 8.48e-04
+2022-09-17 09:14:43,178 INFO [train.py:885] (1/2) Epoch 5, batch 1350, loss[loss=0.72, simple_loss=0.7211, pruned_loss=0.3595, over 12452.00 frames. utt_duration=63.1 frames, utt_pad_proportion=0.1473, over 810.00 utterances.], tot_loss[loss=0.3642, simple_loss=0.4065, pruned_loss=0.1609, over 2777636.96 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07407, over 47703.76 utterances.], batch size: 810, lr: 8.48e-04
+2022-09-17 09:15:12,600 INFO [train.py:885] (1/2) Epoch 5, batch 1400, loss[loss=0.3501, simple_loss=0.3976, pruned_loss=0.1512, over 14317.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.0402, over 154.00 utterances.], tot_loss[loss=0.3671, simple_loss=0.4094, pruned_loss=0.1625, over 2779119.70 frames. utt_duration=229 frames, utt_pad_proportion=0.07376, over 48862.57 utterances.], batch size: 154, lr: 8.48e-04
+2022-09-17 09:15:42,152 INFO [train.py:885] (1/2) Epoch 5, batch 1450, loss[loss=0.2152, simple_loss=0.2659, pruned_loss=0.08227, over 13529.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08866, over 50.00 utterances.], tot_loss[loss=0.3594, simple_loss=0.4023, pruned_loss=0.1582, over 2779753.71 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07212, over 45877.47 utterances.], batch size: 50, lr: 8.47e-04
+2022-09-17 09:16:11,747 INFO [train.py:885] (1/2) Epoch 5, batch 1500, loss[loss=0.3048, simple_loss=0.3601, pruned_loss=0.1247, over 14321.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03679, over 130.00 utterances.], tot_loss[loss=0.3616, simple_loss=0.4051, pruned_loss=0.159, over 2779404.19 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07418, over 47248.78 utterances.], batch size: 130, lr: 8.47e-04
+2022-09-17 09:16:41,468 INFO [train.py:885] (1/2) Epoch 5, batch 1550, loss[loss=0.3288, simple_loss=0.3696, pruned_loss=0.144, over 14257.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04504, over 141.00 utterances.], tot_loss[loss=0.3604, simple_loss=0.4038, pruned_loss=0.1585, over 2786520.05 frames. utt_duration=243.5 frames, utt_pad_proportion=0.0719, over 46056.47 utterances.], batch size: 141, lr: 8.46e-04
+2022-09-17 09:17:11,261 INFO [train.py:885] (1/2) Epoch 5, batch 1600, loss[loss=0.2829, simple_loss=0.3427, pruned_loss=0.1115, over 14346.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.0369, over 120.00 utterances.], tot_loss[loss=0.3557, simple_loss=0.3998, pruned_loss=0.1558, over 2780746.57 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07274, over 45169.47 utterances.], batch size: 120, lr: 8.46e-04
+2022-09-17 09:17:40,666 INFO [train.py:885] (1/2) Epoch 5, batch 1650, loss[loss=0.239, simple_loss=0.2868, pruned_loss=0.09563, over 14251.00 frames. utt_duration=641.9 frames, utt_pad_proportion=0.0434, over 89.00 utterances.], tot_loss[loss=0.3541, simple_loss=0.3985, pruned_loss=0.1549, over 2780987.95 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07217, over 44904.19 utterances.], batch size: 89, lr: 8.46e-04
+2022-09-17 09:18:09,953 INFO [train.py:885] (1/2) Epoch 5, batch 1700, loss[loss=0.4954, simple_loss=0.5004, pruned_loss=0.2452, over 14328.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03852, over 283.00 utterances.], tot_loss[loss=0.3601, simple_loss=0.4038, pruned_loss=0.1582, over 2782393.22 frames. utt_duration=239 frames, utt_pad_proportion=0.07235, over 46849.42 utterances.], batch size: 283, lr: 8.45e-04
+2022-09-17 09:18:39,164 INFO [train.py:885] (1/2) Epoch 5, batch 1750, loss[loss=0.4571, simple_loss=0.4781, pruned_loss=0.2181, over 14333.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03814, over 283.00 utterances.], tot_loss[loss=0.3571, simple_loss=0.4013, pruned_loss=0.1564, over 2782325.61 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07247, over 46184.11 utterances.], batch size: 283, lr: 8.45e-04
+2022-09-17 09:19:08,564 INFO [train.py:885] (1/2) Epoch 5, batch 1800, loss[loss=0.4764, simple_loss=0.4843, pruned_loss=0.2342, over 14211.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0438, over 306.00 utterances.], tot_loss[loss=0.3562, simple_loss=0.4005, pruned_loss=0.156, over 2785949.24 frames. utt_duration=243.1 frames, utt_pad_proportion=0.06981, over 46116.28 utterances.], batch size: 306, lr: 8.44e-04
+2022-09-17 09:19:37,457 INFO [train.py:885] (1/2) Epoch 5, batch 1850, loss[loss=0.3625, simple_loss=0.4047, pruned_loss=0.1601, over 14314.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04028, over 154.00 utterances.], tot_loss[loss=0.356, simple_loss=0.4002, pruned_loss=0.1559, over 2789445.08 frames. utt_duration=244.5 frames, utt_pad_proportion=0.06837, over 45910.59 utterances.], batch size: 154, lr: 8.44e-04
+2022-09-17 09:20:07,160 INFO [train.py:885] (1/2) Epoch 5, batch 1900, loss[loss=0.3749, simple_loss=0.4155, pruned_loss=0.1671, over 14272.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04091, over 180.00 utterances.], tot_loss[loss=0.3586, simple_loss=0.4034, pruned_loss=0.1569, over 2787876.10 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07115, over 47466.38 utterances.], batch size: 180, lr: 8.44e-04
+2022-09-17 09:20:37,342 INFO [train.py:885] (1/2) Epoch 5, batch 1950, loss[loss=0.2301, simple_loss=0.2702, pruned_loss=0.09497, over 12953.00 frames. utt_duration=1571 frames, utt_pad_proportion=0.1304, over 33.00 utterances.], tot_loss[loss=0.3536, simple_loss=0.3985, pruned_loss=0.1543, over 2784015.68 frames. utt_duration=245 frames, utt_pad_proportion=0.07174, over 45731.09 utterances.], batch size: 33, lr: 8.43e-04
+2022-09-17 09:21:06,191 INFO [train.py:885] (1/2) Epoch 5, batch 2000, loss[loss=0.4359, simple_loss=0.4554, pruned_loss=0.2082, over 14212.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0437, over 306.00 utterances.], tot_loss[loss=0.3506, simple_loss=0.3956, pruned_loss=0.1528, over 2784928.12 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06906, over 44041.55 utterances.], batch size: 306, lr: 8.43e-04
+2022-09-17 09:21:35,722 INFO [train.py:885] (1/2) Epoch 5, batch 2050, loss[loss=0.2895, simple_loss=0.3374, pruned_loss=0.1208, over 14097.00 frames. utt_duration=518.9 frames, utt_pad_proportion=0.04965, over 109.00 utterances.], tot_loss[loss=0.3465, simple_loss=0.3917, pruned_loss=0.1507, over 2783556.31 frames. utt_duration=264.8 frames, utt_pad_proportion=0.06806, over 42284.03 utterances.], batch size: 109, lr: 8.42e-04
+2022-09-17 09:22:05,687 INFO [train.py:885] (1/2) Epoch 5, batch 2100, loss[loss=0.3017, simple_loss=0.3684, pruned_loss=0.1175, over 14298.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04091, over 154.00 utterances.], tot_loss[loss=0.3466, simple_loss=0.3924, pruned_loss=0.1504, over 2780191.05 frames. utt_duration=256.9 frames, utt_pad_proportion=0.07044, over 43542.92 utterances.], batch size: 154, lr: 8.42e-04
+2022-09-17 09:22:43,170 INFO [train.py:885] (1/2) Epoch 5, batch 2150, loss[loss=0.2662, simple_loss=0.3207, pruned_loss=0.1058, over 13961.00 frames. utt_duration=708.2 frames, utt_pad_proportion=0.06324, over 79.00 utterances.], tot_loss[loss=0.3487, simple_loss=0.394, pruned_loss=0.1518, over 2783115.68 frames. utt_duration=256 frames, utt_pad_proportion=0.06918, over 43744.81 utterances.], batch size: 79, lr: 8.42e-04
+2022-09-17 09:23:12,760 INFO [train.py:885] (1/2) Epoch 5, batch 2200, loss[loss=0.1711, simple_loss=0.2219, pruned_loss=0.06017, over 13310.00 frames. utt_duration=1567 frames, utt_pad_proportion=0.111, over 34.00 utterances.], tot_loss[loss=0.3474, simple_loss=0.3929, pruned_loss=0.1509, over 2777158.09 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07104, over 44384.78 utterances.], batch size: 34, lr: 8.41e-04
+2022-09-17 09:23:41,661 INFO [train.py:885] (1/2) Epoch 5, batch 2250, loss[loss=0.3835, simple_loss=0.4232, pruned_loss=0.1719, over 14364.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03692, over 244.00 utterances.], tot_loss[loss=0.3472, simple_loss=0.3925, pruned_loss=0.1509, over 2779811.20 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06806, over 43419.48 utterances.], batch size: 244, lr: 8.41e-04
+2022-09-17 09:24:11,505 INFO [train.py:885] (1/2) Epoch 5, batch 2300, loss[loss=0.2412, simple_loss=0.2911, pruned_loss=0.09568, over 14053.00 frames. utt_duration=713.1 frames, utt_pad_proportion=0.05548, over 79.00 utterances.], tot_loss[loss=0.3495, simple_loss=0.394, pruned_loss=0.1525, over 2778196.66 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06982, over 43719.21 utterances.], batch size: 79, lr: 8.40e-04
+2022-09-17 09:24:40,694 INFO [train.py:885] (1/2) Epoch 5, batch 2350, loss[loss=0.3836, simple_loss=0.4259, pruned_loss=0.1706, over 14363.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03242, over 244.00 utterances.], tot_loss[loss=0.3506, simple_loss=0.3947, pruned_loss=0.1532, over 2786867.49 frames. utt_duration=259.3 frames, utt_pad_proportion=0.06655, over 43237.02 utterances.], batch size: 244, lr: 8.40e-04
+2022-09-17 09:25:11,034 INFO [train.py:885] (1/2) Epoch 5, batch 2400, loss[loss=0.3241, simple_loss=0.3735, pruned_loss=0.1374, over 14228.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04483, over 141.00 utterances.], tot_loss[loss=0.352, simple_loss=0.396, pruned_loss=0.154, over 2787038.88 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06687, over 43925.33 utterances.], batch size: 141, lr: 8.40e-04
+2022-09-17 09:25:40,939 INFO [train.py:885] (1/2) Epoch 5, batch 2450, loss[loss=0.3125, simple_loss=0.3765, pruned_loss=0.1242, over 14354.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03673, over 195.00 utterances.], tot_loss[loss=0.3541, simple_loss=0.398, pruned_loss=0.1551, over 2782692.18 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07015, over 45565.62 utterances.], batch size: 195, lr: 8.39e-04
+2022-09-17 09:26:10,218 INFO [train.py:885] (1/2) Epoch 5, batch 2500, loss[loss=0.1862, simple_loss=0.2289, pruned_loss=0.07176, over 12986.00 frames. utt_duration=1576 frames, utt_pad_proportion=0.1212, over 33.00 utterances.], tot_loss[loss=0.3535, simple_loss=0.3975, pruned_loss=0.1548, over 2783137.01 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06876, over 44672.91 utterances.], batch size: 33, lr: 8.39e-04
+2022-09-17 09:26:39,802 INFO [train.py:885] (1/2) Epoch 5, batch 2550, loss[loss=0.3465, simple_loss=0.3764, pruned_loss=0.1582, over 14243.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04597, over 141.00 utterances.], tot_loss[loss=0.3525, simple_loss=0.3966, pruned_loss=0.1542, over 2786448.12 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06833, over 44034.63 utterances.], batch size: 141, lr: 8.38e-04
+2022-09-17 09:27:09,413 INFO [train.py:885] (1/2) Epoch 5, batch 2600, loss[loss=0.3178, simple_loss=0.3732, pruned_loss=0.1312, over 14368.00 frames. utt_duration=443.4 frames, utt_pad_proportion=0.034, over 130.00 utterances.], tot_loss[loss=0.3569, simple_loss=0.4013, pruned_loss=0.1563, over 2784665.29 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07016, over 45684.24 utterances.], batch size: 130, lr: 8.38e-04
+2022-09-17 09:27:39,506 INFO [train.py:885] (1/2) Epoch 5, batch 2650, loss[loss=0.4181, simple_loss=0.4524, pruned_loss=0.1919, over 14256.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04154, over 225.00 utterances.], tot_loss[loss=0.3556, simple_loss=0.4004, pruned_loss=0.1554, over 2780889.90 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07099, over 45619.16 utterances.], batch size: 225, lr: 8.38e-04
+2022-09-17 09:28:08,792 INFO [train.py:885] (1/2) Epoch 5, batch 2700, loss[loss=0.2226, simple_loss=0.2497, pruned_loss=0.0978, over 12595.00 frames. utt_duration=2017 frames, utt_pad_proportion=0.1426, over 25.00 utterances.], tot_loss[loss=0.357, simple_loss=0.4009, pruned_loss=0.1566, over 2777063.93 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07295, over 45954.40 utterances.], batch size: 25, lr: 8.37e-04
+2022-09-17 09:28:37,928 INFO [train.py:885] (1/2) Epoch 5, batch 2750, loss[loss=0.3232, simple_loss=0.3863, pruned_loss=0.13, over 14384.00 frames. utt_duration=296.6 frames, utt_pad_proportion=0.03378, over 195.00 utterances.], tot_loss[loss=0.3521, simple_loss=0.3968, pruned_loss=0.1537, over 2779066.08 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07272, over 44658.85 utterances.], batch size: 195, lr: 8.37e-04
+2022-09-17 09:29:07,320 INFO [train.py:885] (1/2) Epoch 5, batch 2800, loss[loss=0.3846, simple_loss=0.4446, pruned_loss=0.1623, over 13731.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07369, over 411.00 utterances.], tot_loss[loss=0.351, simple_loss=0.3962, pruned_loss=0.1529, over 2780574.86 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07167, over 45187.50 utterances.], batch size: 411, lr: 8.36e-04
+2022-09-17 09:29:37,285 INFO [train.py:885] (1/2) Epoch 5, batch 2850, loss[loss=0.2001, simple_loss=0.2604, pruned_loss=0.06987, over 13264.00 frames. utt_duration=1609 frames, utt_pad_proportion=0.1095, over 33.00 utterances.], tot_loss[loss=0.3544, simple_loss=0.3984, pruned_loss=0.1552, over 2781084.08 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07151, over 45421.33 utterances.], batch size: 33, lr: 8.36e-04
+2022-09-17 09:30:06,852 INFO [train.py:885] (1/2) Epoch 5, batch 2900, loss[loss=0.217, simple_loss=0.2476, pruned_loss=0.09317, over 12352.00 frames. utt_duration=2060 frames, utt_pad_proportion=0.1611, over 24.00 utterances.], tot_loss[loss=0.3519, simple_loss=0.3955, pruned_loss=0.1541, over 2776720.75 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07119, over 44413.22 utterances.], batch size: 24, lr: 8.36e-04
+2022-09-17 09:30:36,085 INFO [train.py:885] (1/2) Epoch 5, batch 2950, loss[loss=0.4042, simple_loss=0.4626, pruned_loss=0.1729, over 13795.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07068, over 411.00 utterances.], tot_loss[loss=0.3509, simple_loss=0.395, pruned_loss=0.1534, over 2780055.83 frames. utt_duration=253.8 frames, utt_pad_proportion=0.0693, over 44068.13 utterances.], batch size: 411, lr: 8.35e-04
+2022-09-17 09:31:05,724 INFO [train.py:885] (1/2) Epoch 5, batch 3000, loss[loss=0.4637, simple_loss=0.4847, pruned_loss=0.2214, over 14362.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03284, over 244.00 utterances.], tot_loss[loss=0.3454, simple_loss=0.39, pruned_loss=0.1504, over 2775772.36 frames. utt_duration=262.6 frames, utt_pad_proportion=0.06961, over 42514.64 utterances.], batch size: 244, lr: 8.35e-04
+2022-09-17 09:31:05,725 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 09:31:10,374 INFO [train.py:914] (1/2) Epoch 5, validation: loss=0.2301, simple_loss=0.3025, pruned_loss=0.0789, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 09:31:40,283 INFO [train.py:885] (1/2) Epoch 5, batch 3050, loss[loss=0.4819, simple_loss=0.4894, pruned_loss=0.2372, over 14226.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04265, over 306.00 utterances.], tot_loss[loss=0.348, simple_loss=0.3929, pruned_loss=0.1516, over 2773281.98 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07216, over 44168.64 utterances.], batch size: 306, lr: 8.35e-04
+2022-09-17 09:32:09,321 INFO [train.py:885] (1/2) Epoch 5, batch 3100, loss[loss=0.2694, simple_loss=0.3118, pruned_loss=0.1135, over 13496.00 frames. utt_duration=1318 frames, utt_pad_proportion=0.07866, over 41.00 utterances.], tot_loss[loss=0.3481, simple_loss=0.3927, pruned_loss=0.1518, over 2778008.26 frames. utt_duration=258.2 frames, utt_pad_proportion=0.06979, over 43291.34 utterances.], batch size: 41, lr: 8.34e-04
+2022-09-17 09:32:38,803 INFO [train.py:885] (1/2) Epoch 5, batch 3150, loss[loss=0.549, simple_loss=0.5357, pruned_loss=0.2812, over 14263.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04117, over 335.00 utterances.], tot_loss[loss=0.3546, simple_loss=0.3978, pruned_loss=0.1557, over 2780118.21 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07089, over 44642.46 utterances.], batch size: 335, lr: 8.34e-04
+2022-09-17 09:33:08,091 INFO [train.py:885] (1/2) Epoch 5, batch 3200, loss[loss=0.3298, simple_loss=0.3939, pruned_loss=0.1328, over 14401.00 frames. utt_duration=237.6 frames, utt_pad_proportion=0.03419, over 244.00 utterances.], tot_loss[loss=0.358, simple_loss=0.4015, pruned_loss=0.1572, over 2778366.70 frames. utt_duration=243.3 frames, utt_pad_proportion=0.0725, over 45958.55 utterances.], batch size: 244, lr: 8.33e-04
+2022-09-17 09:33:38,010 INFO [train.py:885] (1/2) Epoch 5, batch 3250, loss[loss=0.3358, simple_loss=0.3734, pruned_loss=0.1491, over 14128.00 frames. utt_duration=578.3 frames, utt_pad_proportion=0.05199, over 98.00 utterances.], tot_loss[loss=0.3535, simple_loss=0.3967, pruned_loss=0.1551, over 2774607.46 frames. utt_duration=250.5 frames, utt_pad_proportion=0.0728, over 44573.58 utterances.], batch size: 98, lr: 8.33e-04
+2022-09-17 09:34:07,259 INFO [train.py:885] (1/2) Epoch 5, batch 3300, loss[loss=0.245, simple_loss=0.3079, pruned_loss=0.091, over 14243.00 frames. utt_duration=641.7 frames, utt_pad_proportion=0.04364, over 89.00 utterances.], tot_loss[loss=0.3532, simple_loss=0.3964, pruned_loss=0.155, over 2775859.66 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07207, over 44095.96 utterances.], batch size: 89, lr: 8.33e-04
+2022-09-17 09:34:37,345 INFO [train.py:885] (1/2) Epoch 5, batch 3350, loss[loss=0.3941, simple_loss=0.4303, pruned_loss=0.1789, over 14322.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03802, over 195.00 utterances.], tot_loss[loss=0.3484, simple_loss=0.3932, pruned_loss=0.1518, over 2775722.58 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07427, over 44651.96 utterances.], batch size: 195, lr: 8.32e-04
+2022-09-17 09:35:06,413 INFO [train.py:885] (1/2) Epoch 5, batch 3400, loss[loss=0.214, simple_loss=0.2672, pruned_loss=0.08039, over 13156.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.1141, over 33.00 utterances.], tot_loss[loss=0.3477, simple_loss=0.393, pruned_loss=0.1513, over 2777446.79 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07284, over 44570.10 utterances.], batch size: 33, lr: 8.32e-04
+2022-09-17 09:35:36,111 INFO [train.py:885] (1/2) Epoch 5, batch 3450, loss[loss=0.3332, simple_loss=0.3878, pruned_loss=0.1393, over 14255.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04531, over 141.00 utterances.], tot_loss[loss=0.3471, simple_loss=0.3932, pruned_loss=0.1505, over 2776705.82 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07409, over 45317.44 utterances.], batch size: 141, lr: 8.31e-04
+2022-09-17 09:36:06,123 INFO [train.py:885] (1/2) Epoch 5, batch 3500, loss[loss=0.2187, simple_loss=0.2694, pruned_loss=0.08403, over 13484.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.08839, over 50.00 utterances.], tot_loss[loss=0.3481, simple_loss=0.3942, pruned_loss=0.151, over 2779476.29 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07167, over 45548.04 utterances.], batch size: 50, lr: 8.31e-04
+2022-09-17 09:36:34,516 INFO [train.py:885] (1/2) Epoch 5, batch 3550, loss[loss=0.3482, simple_loss=0.394, pruned_loss=0.1512, over 14279.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04001, over 180.00 utterances.], tot_loss[loss=0.3424, simple_loss=0.3888, pruned_loss=0.148, over 2781085.30 frames. utt_duration=258 frames, utt_pad_proportion=0.06837, over 43360.38 utterances.], batch size: 180, lr: 8.31e-04
+2022-09-17 09:37:04,425 INFO [train.py:885] (1/2) Epoch 5, batch 3600, loss[loss=0.604, simple_loss=0.6509, pruned_loss=0.2785, over 12515.00 frames. utt_duration=63.41 frames, utt_pad_proportion=0.1431, over 810.00 utterances.], tot_loss[loss=0.346, simple_loss=0.3914, pruned_loss=0.1503, over 2779913.84 frames. utt_duration=258.7 frames, utt_pad_proportion=0.0691, over 43228.14 utterances.], batch size: 810, lr: 8.30e-04
+2022-09-17 09:37:34,054 INFO [train.py:885] (1/2) Epoch 5, batch 3650, loss[loss=0.4053, simple_loss=0.437, pruned_loss=0.1868, over 14336.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03708, over 195.00 utterances.], tot_loss[loss=0.3504, simple_loss=0.3947, pruned_loss=0.153, over 2780666.78 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07026, over 44467.56 utterances.], batch size: 195, lr: 8.30e-04
+2022-09-17 09:38:03,455 INFO [train.py:885] (1/2) Epoch 5, batch 3700, loss[loss=0.41, simple_loss=0.4651, pruned_loss=0.1774, over 13689.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07917, over 478.00 utterances.], tot_loss[loss=0.3528, simple_loss=0.3966, pruned_loss=0.1545, over 2776812.85 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07291, over 45284.90 utterances.], batch size: 478, lr: 8.30e-04
+2022-09-17 09:38:33,412 INFO [train.py:885] (1/2) Epoch 5, batch 3750, loss[loss=0.3755, simple_loss=0.4239, pruned_loss=0.1635, over 14306.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03969, over 283.00 utterances.], tot_loss[loss=0.3549, simple_loss=0.3993, pruned_loss=0.1553, over 2771824.63 frames. utt_duration=237.9 frames, utt_pad_proportion=0.0744, over 46888.05 utterances.], batch size: 283, lr: 8.29e-04
+2022-09-17 09:39:02,897 INFO [train.py:885] (1/2) Epoch 5, batch 3800, loss[loss=0.3381, simple_loss=0.389, pruned_loss=0.1436, over 14220.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.04751, over 141.00 utterances.], tot_loss[loss=0.3583, simple_loss=0.4025, pruned_loss=0.1571, over 2773788.96 frames. utt_duration=233.4 frames, utt_pad_proportion=0.0754, over 47841.86 utterances.], batch size: 141, lr: 8.29e-04
+2022-09-17 09:39:32,815 INFO [train.py:885] (1/2) Epoch 5, batch 3850, loss[loss=0.3083, simple_loss=0.3623, pruned_loss=0.1272, over 14325.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03834, over 120.00 utterances.], tot_loss[loss=0.358, simple_loss=0.4023, pruned_loss=0.1569, over 2778102.08 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07421, over 47494.30 utterances.], batch size: 120, lr: 8.28e-04
+2022-09-17 09:40:01,897 INFO [train.py:885] (1/2) Epoch 5, batch 3900, loss[loss=0.3387, simple_loss=0.3997, pruned_loss=0.1388, over 14267.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04058, over 225.00 utterances.], tot_loss[loss=0.3523, simple_loss=0.3969, pruned_loss=0.1539, over 2779815.69 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07074, over 45414.94 utterances.], batch size: 225, lr: 8.28e-04
+2022-09-17 09:40:31,958 INFO [train.py:885] (1/2) Epoch 5, batch 3950, loss[loss=0.4307, simple_loss=0.489, pruned_loss=0.1862, over 13638.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.07558, over 478.00 utterances.], tot_loss[loss=0.3576, simple_loss=0.4024, pruned_loss=0.1564, over 2778603.48 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07216, over 47855.42 utterances.], batch size: 478, lr: 8.28e-04
+2022-09-17 09:41:01,036 INFO [train.py:885] (1/2) Epoch 5, batch 4000, loss[loss=0.4085, simple_loss=0.4413, pruned_loss=0.1879, over 14313.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03889, over 283.00 utterances.], tot_loss[loss=0.36, simple_loss=0.4039, pruned_loss=0.158, over 2780464.73 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07078, over 47995.64 utterances.], batch size: 283, lr: 8.27e-04
+2022-09-17 09:41:30,507 INFO [train.py:885] (1/2) Epoch 5, batch 4050, loss[loss=0.2314, simple_loss=0.2818, pruned_loss=0.09052, over 13253.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.1068, over 33.00 utterances.], tot_loss[loss=0.3547, simple_loss=0.3987, pruned_loss=0.1554, over 2780362.48 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07101, over 45754.91 utterances.], batch size: 33, lr: 8.27e-04
+2022-09-17 09:41:59,381 INFO [train.py:885] (1/2) Epoch 5, batch 4100, loss[loss=0.3765, simple_loss=0.4178, pruned_loss=0.1676, over 14284.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04022, over 225.00 utterances.], tot_loss[loss=0.3486, simple_loss=0.393, pruned_loss=0.1521, over 2784227.06 frames. utt_duration=260.2 frames, utt_pad_proportion=0.06889, over 43041.74 utterances.], batch size: 225, lr: 8.27e-04
+2022-09-17 09:42:28,596 INFO [train.py:885] (1/2) Epoch 5, batch 4150, loss[loss=0.2903, simple_loss=0.344, pruned_loss=0.1183, over 14289.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.04076, over 120.00 utterances.], tot_loss[loss=0.3507, simple_loss=0.3954, pruned_loss=0.153, over 2786577.54 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06901, over 44365.23 utterances.], batch size: 120, lr: 8.26e-04
+2022-09-17 09:42:58,661 INFO [train.py:885] (1/2) Epoch 5, batch 4200, loss[loss=0.3594, simple_loss=0.4136, pruned_loss=0.1527, over 14334.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03726, over 210.00 utterances.], tot_loss[loss=0.3501, simple_loss=0.3948, pruned_loss=0.1527, over 2785614.73 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07027, over 44194.50 utterances.], batch size: 210, lr: 8.26e-04
+2022-09-17 09:43:28,591 INFO [train.py:885] (1/2) Epoch 5, batch 4250, loss[loss=0.3915, simple_loss=0.4383, pruned_loss=0.1723, over 14312.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03917, over 283.00 utterances.], tot_loss[loss=0.3504, simple_loss=0.3954, pruned_loss=0.1527, over 2788057.57 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06898, over 44450.63 utterances.], batch size: 283, lr: 8.25e-04
+2022-09-17 09:43:58,062 INFO [train.py:885] (1/2) Epoch 5, batch 4300, loss[loss=0.6431, simple_loss=0.6835, pruned_loss=0.3014, over 12401.00 frames. utt_duration=62.8 frames, utt_pad_proportion=0.1513, over 810.00 utterances.], tot_loss[loss=0.3533, simple_loss=0.3994, pruned_loss=0.1536, over 2786330.15 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07108, over 47303.73 utterances.], batch size: 810, lr: 8.25e-04
+2022-09-17 09:44:27,638 INFO [train.py:885] (1/2) Epoch 5, batch 4350, loss[loss=0.3275, simple_loss=0.3712, pruned_loss=0.1419, over 14250.00 frames. utt_duration=371.7 frames, utt_pad_proportion=0.04212, over 154.00 utterances.], tot_loss[loss=0.3533, simple_loss=0.3985, pruned_loss=0.1541, over 2786698.39 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07062, over 46304.80 utterances.], batch size: 154, lr: 8.25e-04
+2022-09-17 09:44:57,341 INFO [train.py:885] (1/2) Epoch 5, batch 4400, loss[loss=0.4526, simple_loss=0.5154, pruned_loss=0.1949, over 13565.00 frames. utt_duration=98.21 frames, utt_pad_proportion=0.08219, over 560.00 utterances.], tot_loss[loss=0.3585, simple_loss=0.4038, pruned_loss=0.1566, over 2786104.08 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07173, over 48115.08 utterances.], batch size: 560, lr: 8.24e-04
+2022-09-17 09:45:26,355 INFO [train.py:885] (1/2) Epoch 5, batch 4450, loss[loss=0.436, simple_loss=0.4597, pruned_loss=0.2062, over 14223.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04297, over 306.00 utterances.], tot_loss[loss=0.3588, simple_loss=0.4031, pruned_loss=0.1573, over 2787326.06 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07061, over 46979.93 utterances.], batch size: 306, lr: 8.24e-04
+2022-09-17 09:45:55,555 INFO [train.py:885] (1/2) Epoch 5, batch 4500, loss[loss=0.2707, simple_loss=0.319, pruned_loss=0.1112, over 14145.00 frames. utt_duration=717.5 frames, utt_pad_proportion=0.0472, over 79.00 utterances.], tot_loss[loss=0.3564, simple_loss=0.4005, pruned_loss=0.1562, over 2790353.72 frames. utt_duration=245.6 frames, utt_pad_proportion=0.06846, over 45711.41 utterances.], batch size: 79, lr: 8.24e-04
+2022-09-17 09:46:25,533 INFO [train.py:885] (1/2) Epoch 5, batch 4550, loss[loss=0.3628, simple_loss=0.4202, pruned_loss=0.1527, over 14317.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03928, over 262.00 utterances.], tot_loss[loss=0.3632, simple_loss=0.4066, pruned_loss=0.1599, over 2784156.31 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07384, over 48030.50 utterances.], batch size: 262, lr: 8.23e-04
+2022-09-17 09:46:55,813 INFO [train.py:885] (1/2) Epoch 5, batch 4600, loss[loss=0.2946, simple_loss=0.3465, pruned_loss=0.1214, over 14377.00 frames. utt_duration=443.7 frames, utt_pad_proportion=0.03332, over 130.00 utterances.], tot_loss[loss=0.3598, simple_loss=0.4043, pruned_loss=0.1577, over 2789917.41 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07104, over 47414.27 utterances.], batch size: 130, lr: 8.23e-04
+2022-09-17 09:47:25,351 INFO [train.py:885] (1/2) Epoch 5, batch 4650, loss[loss=0.3161, simple_loss=0.3811, pruned_loss=0.1255, over 14268.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04051, over 180.00 utterances.], tot_loss[loss=0.3578, simple_loss=0.4028, pruned_loss=0.1564, over 2786216.07 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07241, over 47135.39 utterances.], batch size: 180, lr: 8.22e-04
+2022-09-17 09:47:54,821 INFO [train.py:885] (1/2) Epoch 5, batch 4700, loss[loss=0.3793, simple_loss=0.4177, pruned_loss=0.1705, over 14307.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03905, over 283.00 utterances.], tot_loss[loss=0.3528, simple_loss=0.3981, pruned_loss=0.1537, over 2780581.59 frames. utt_duration=242.7 frames, utt_pad_proportion=0.0727, over 46100.16 utterances.], batch size: 283, lr: 8.22e-04
+2022-09-17 09:48:24,059 INFO [train.py:885] (1/2) Epoch 5, batch 4750, loss[loss=0.2544, simple_loss=0.3081, pruned_loss=0.1003, over 12192.00 frames. utt_duration=2034 frames, utt_pad_proportion=0.1753, over 24.00 utterances.], tot_loss[loss=0.3565, simple_loss=0.4005, pruned_loss=0.1563, over 2777989.89 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07256, over 46266.39 utterances.], batch size: 24, lr: 8.22e-04
+2022-09-17 09:48:53,984 INFO [train.py:885] (1/2) Epoch 5, batch 4800, loss[loss=0.503, simple_loss=0.5542, pruned_loss=0.2259, over 13181.00 frames. utt_duration=82.29 frames, utt_pad_proportion=0.1055, over 653.00 utterances.], tot_loss[loss=0.3521, simple_loss=0.3965, pruned_loss=0.1538, over 2776366.10 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07243, over 44631.15 utterances.], batch size: 653, lr: 8.21e-04
+2022-09-17 09:49:22,948 INFO [train.py:885] (1/2) Epoch 5, batch 4850, loss[loss=0.4057, simple_loss=0.4351, pruned_loss=0.1881, over 14341.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.0388, over 167.00 utterances.], tot_loss[loss=0.3473, simple_loss=0.3928, pruned_loss=0.1509, over 2782291.86 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06982, over 43495.37 utterances.], batch size: 167, lr: 8.21e-04
+2022-09-17 09:49:52,549 INFO [train.py:885] (1/2) Epoch 5, batch 4900, loss[loss=0.6441, simple_loss=0.6752, pruned_loss=0.3065, over 12532.00 frames. utt_duration=63.46 frames, utt_pad_proportion=0.1425, over 810.00 utterances.], tot_loss[loss=0.3488, simple_loss=0.3944, pruned_loss=0.1516, over 2776385.43 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07296, over 44583.23 utterances.], batch size: 810, lr: 8.21e-04
+2022-09-17 09:50:21,965 INFO [train.py:885] (1/2) Epoch 5, batch 4950, loss[loss=0.3458, simple_loss=0.3936, pruned_loss=0.149, over 14344.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03908, over 167.00 utterances.], tot_loss[loss=0.3523, simple_loss=0.3971, pruned_loss=0.1538, over 2781087.12 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07289, over 45291.86 utterances.], batch size: 167, lr: 8.20e-04
+2022-09-17 09:50:51,465 INFO [train.py:885] (1/2) Epoch 5, batch 5000, loss[loss=0.3025, simple_loss=0.3625, pruned_loss=0.1213, over 14311.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04028, over 154.00 utterances.], tot_loss[loss=0.3545, simple_loss=0.3988, pruned_loss=0.1551, over 2780024.18 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07305, over 45934.84 utterances.], batch size: 154, lr: 8.20e-04
+2022-09-17 09:51:21,512 INFO [train.py:885] (1/2) Epoch 5, batch 5050, loss[loss=0.2315, simple_loss=0.3013, pruned_loss=0.0808, over 14064.00 frames. utt_duration=713.5 frames, utt_pad_proportion=0.05492, over 79.00 utterances.], tot_loss[loss=0.355, simple_loss=0.3992, pruned_loss=0.1554, over 2779676.37 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07288, over 46495.96 utterances.], batch size: 79, lr: 8.19e-04
+2022-09-17 09:51:50,678 INFO [train.py:885] (1/2) Epoch 5, batch 5100, loss[loss=0.3862, simple_loss=0.4291, pruned_loss=0.1716, over 14322.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03898, over 262.00 utterances.], tot_loss[loss=0.3536, simple_loss=0.3976, pruned_loss=0.1548, over 2786369.70 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06966, over 45221.11 utterances.], batch size: 262, lr: 8.19e-04
+2022-09-17 09:52:21,233 INFO [train.py:885] (1/2) Epoch 5, batch 5150, loss[loss=0.2318, simple_loss=0.2781, pruned_loss=0.09273, over 13762.00 frames. utt_duration=1102 frames, utt_pad_proportion=0.07441, over 50.00 utterances.], tot_loss[loss=0.3516, simple_loss=0.3953, pruned_loss=0.1539, over 2779265.56 frames. utt_duration=249 frames, utt_pad_proportion=0.07174, over 44911.49 utterances.], batch size: 50, lr: 8.19e-04
+2022-09-17 09:52:49,906 INFO [train.py:885] (1/2) Epoch 5, batch 5200, loss[loss=0.2596, simple_loss=0.3071, pruned_loss=0.1061, over 14097.00 frames. utt_duration=576.7 frames, utt_pad_proportion=0.05303, over 98.00 utterances.], tot_loss[loss=0.3492, simple_loss=0.3941, pruned_loss=0.1522, over 2782263.03 frames. utt_duration=248.3 frames, utt_pad_proportion=0.0697, over 45081.29 utterances.], batch size: 98, lr: 8.18e-04
+2022-09-17 09:53:19,595 INFO [train.py:885] (1/2) Epoch 5, batch 5250, loss[loss=0.238, simple_loss=0.2935, pruned_loss=0.09121, over 13845.00 frames. utt_duration=804.3 frames, utt_pad_proportion=0.06257, over 69.00 utterances.], tot_loss[loss=0.346, simple_loss=0.3913, pruned_loss=0.1504, over 2782426.98 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06963, over 44369.50 utterances.], batch size: 69, lr: 8.18e-04
+2022-09-17 09:53:48,337 INFO [train.py:885] (1/2) Epoch 5, batch 5300, loss[loss=0.2293, simple_loss=0.2565, pruned_loss=0.1011, over 13206.00 frames. utt_duration=2033 frames, utt_pad_proportion=0.1012, over 26.00 utterances.], tot_loss[loss=0.3408, simple_loss=0.3868, pruned_loss=0.1474, over 2781648.80 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06731, over 43144.11 utterances.], batch size: 26, lr: 8.18e-04
+2022-09-17 09:54:18,155 INFO [train.py:885] (1/2) Epoch 5, batch 5350, loss[loss=0.3175, simple_loss=0.3671, pruned_loss=0.134, over 14251.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04302, over 141.00 utterances.], tot_loss[loss=0.346, simple_loss=0.3917, pruned_loss=0.1501, over 2776311.51 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07194, over 44708.76 utterances.], batch size: 141, lr: 8.17e-04
+2022-09-17 09:54:47,570 INFO [train.py:885] (1/2) Epoch 5, batch 5400, loss[loss=0.377, simple_loss=0.4254, pruned_loss=0.1643, over 14331.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03798, over 262.00 utterances.], tot_loss[loss=0.3511, simple_loss=0.3959, pruned_loss=0.1531, over 2775784.71 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07254, over 45623.43 utterances.], batch size: 262, lr: 8.17e-04
+2022-09-17 09:55:16,858 INFO [train.py:885] (1/2) Epoch 5, batch 5450, loss[loss=0.2811, simple_loss=0.3313, pruned_loss=0.1155, over 14232.00 frames. utt_duration=519 frames, utt_pad_proportion=0.04776, over 110.00 utterances.], tot_loss[loss=0.3511, simple_loss=0.3958, pruned_loss=0.1532, over 2774388.51 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07138, over 45231.84 utterances.], batch size: 110, lr: 8.17e-04
+2022-09-17 09:55:46,568 INFO [train.py:885] (1/2) Epoch 5, batch 5500, loss[loss=0.4031, simple_loss=0.4382, pruned_loss=0.184, over 14298.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04, over 262.00 utterances.], tot_loss[loss=0.3558, simple_loss=0.4, pruned_loss=0.1558, over 2770534.24 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07583, over 47353.94 utterances.], batch size: 262, lr: 8.16e-04
+2022-09-17 09:56:16,508 INFO [train.py:885] (1/2) Epoch 5, batch 5550, loss[loss=0.3075, simple_loss=0.3622, pruned_loss=0.1265, over 14329.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.03667, over 130.00 utterances.], tot_loss[loss=0.3577, simple_loss=0.4023, pruned_loss=0.1566, over 2777156.07 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07402, over 47959.60 utterances.], batch size: 130, lr: 8.16e-04
+2022-09-17 09:56:45,992 INFO [train.py:885] (1/2) Epoch 5, batch 5600, loss[loss=0.489, simple_loss=0.5301, pruned_loss=0.224, over 13617.00 frames. utt_duration=98.62 frames, utt_pad_proportion=0.07835, over 560.00 utterances.], tot_loss[loss=0.357, simple_loss=0.4015, pruned_loss=0.1562, over 2777777.72 frames. utt_duration=235.6 frames, utt_pad_proportion=0.0717, over 47458.88 utterances.], batch size: 560, lr: 8.15e-04
+2022-09-17 09:57:15,468 INFO [train.py:885] (1/2) Epoch 5, batch 5650, loss[loss=0.3208, simple_loss=0.3651, pruned_loss=0.1382, over 14090.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05327, over 98.00 utterances.], tot_loss[loss=0.3557, simple_loss=0.4004, pruned_loss=0.1555, over 2778746.19 frames. utt_duration=238 frames, utt_pad_proportion=0.07289, over 46985.55 utterances.], batch size: 98, lr: 8.15e-04
+2022-09-17 09:57:46,113 INFO [train.py:885] (1/2) Epoch 5, batch 5700, loss[loss=0.3116, simple_loss=0.3499, pruned_loss=0.1366, over 14329.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03797, over 120.00 utterances.], tot_loss[loss=0.3563, simple_loss=0.4006, pruned_loss=0.1561, over 2782753.45 frames. utt_duration=238 frames, utt_pad_proportion=0.0712, over 47057.97 utterances.], batch size: 120, lr: 8.15e-04
+2022-09-17 09:58:15,131 INFO [train.py:885] (1/2) Epoch 5, batch 5750, loss[loss=0.3989, simple_loss=0.4318, pruned_loss=0.183, over 14377.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03711, over 167.00 utterances.], tot_loss[loss=0.3534, simple_loss=0.3986, pruned_loss=0.1541, over 2786619.83 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07052, over 46297.73 utterances.], batch size: 167, lr: 8.14e-04
+2022-09-17 09:58:44,448 INFO [train.py:885] (1/2) Epoch 5, batch 5800, loss[loss=0.3813, simple_loss=0.4282, pruned_loss=0.1672, over 14379.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03584, over 244.00 utterances.], tot_loss[loss=0.3535, simple_loss=0.3989, pruned_loss=0.154, over 2781094.12 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07442, over 46715.84 utterances.], batch size: 244, lr: 8.14e-04
+2022-09-17 09:59:13,730 INFO [train.py:885] (1/2) Epoch 5, batch 5850, loss[loss=0.4316, simple_loss=0.4523, pruned_loss=0.2055, over 14308.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03807, over 180.00 utterances.], tot_loss[loss=0.3518, simple_loss=0.3974, pruned_loss=0.1531, over 2781851.45 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07279, over 46325.70 utterances.], batch size: 180, lr: 8.14e-04
+2022-09-17 09:59:43,023 INFO [train.py:885] (1/2) Epoch 5, batch 5900, loss[loss=0.505, simple_loss=0.5413, pruned_loss=0.2343, over 13613.00 frames. utt_duration=98.61 frames, utt_pad_proportion=0.07842, over 560.00 utterances.], tot_loss[loss=0.3511, simple_loss=0.3967, pruned_loss=0.1527, over 2784759.99 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07058, over 45713.49 utterances.], batch size: 560, lr: 8.13e-04
+2022-09-17 10:00:12,705 INFO [train.py:885] (1/2) Epoch 5, batch 5950, loss[loss=0.2534, simple_loss=0.2997, pruned_loss=0.1036, over 13822.00 frames. utt_duration=923 frames, utt_pad_proportion=0.06488, over 60.00 utterances.], tot_loss[loss=0.3469, simple_loss=0.3923, pruned_loss=0.1507, over 2785179.67 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06986, over 43903.51 utterances.], batch size: 60, lr: 8.13e-04
+2022-09-17 10:00:42,386 INFO [train.py:885] (1/2) Epoch 5, batch 6000, loss[loss=0.4875, simple_loss=0.5289, pruned_loss=0.2231, over 13624.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08144, over 477.00 utterances.], tot_loss[loss=0.3465, simple_loss=0.3933, pruned_loss=0.1499, over 2781565.65 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07157, over 45472.52 utterances.], batch size: 477, lr: 8.13e-04
+2022-09-17 10:00:42,387 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 10:00:46,533 INFO [train.py:914] (1/2) Epoch 5, validation: loss=0.234, simple_loss=0.3041, pruned_loss=0.08194, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 10:01:15,764 INFO [train.py:885] (1/2) Epoch 5, batch 6050, loss[loss=0.2554, simple_loss=0.3051, pruned_loss=0.1029, over 14082.00 frames. utt_duration=714.3 frames, utt_pad_proportion=0.05512, over 79.00 utterances.], tot_loss[loss=0.3478, simple_loss=0.394, pruned_loss=0.1509, over 2786070.32 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06942, over 44960.86 utterances.], batch size: 79, lr: 8.12e-04
+2022-09-17 10:01:45,313 INFO [train.py:885] (1/2) Epoch 5, batch 6100, loss[loss=0.3773, simple_loss=0.4559, pruned_loss=0.1494, over 13656.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07917, over 477.00 utterances.], tot_loss[loss=0.3468, simple_loss=0.3935, pruned_loss=0.1501, over 2784035.54 frames. utt_duration=248.8 frames, utt_pad_proportion=0.0701, over 45018.30 utterances.], batch size: 477, lr: 8.12e-04
+2022-09-17 10:02:15,308 INFO [train.py:885] (1/2) Epoch 5, batch 6150, loss[loss=0.2864, simple_loss=0.3441, pruned_loss=0.1144, over 14248.00 frames. utt_duration=524.5 frames, utt_pad_proportion=0.0394, over 109.00 utterances.], tot_loss[loss=0.3471, simple_loss=0.3932, pruned_loss=0.1505, over 2782965.14 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07053, over 44896.66 utterances.], batch size: 109, lr: 8.12e-04
+2022-09-17 10:02:44,985 INFO [train.py:885] (1/2) Epoch 5, batch 6200, loss[loss=0.6576, simple_loss=0.676, pruned_loss=0.3196, over 12509.00 frames. utt_duration=63.31 frames, utt_pad_proportion=0.1444, over 810.00 utterances.], tot_loss[loss=0.3479, simple_loss=0.3941, pruned_loss=0.1508, over 2782508.47 frames. utt_duration=248.5 frames, utt_pad_proportion=0.0707, over 45057.55 utterances.], batch size: 810, lr: 8.11e-04
+2022-09-17 10:03:15,118 INFO [train.py:885] (1/2) Epoch 5, batch 6250, loss[loss=0.3833, simple_loss=0.424, pruned_loss=0.1713, over 14384.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03393, over 210.00 utterances.], tot_loss[loss=0.3485, simple_loss=0.3942, pruned_loss=0.1514, over 2781063.49 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07231, over 44644.32 utterances.], batch size: 210, lr: 8.11e-04
+2022-09-17 10:03:44,875 INFO [train.py:885] (1/2) Epoch 5, batch 6300, loss[loss=0.2601, simple_loss=0.3218, pruned_loss=0.09919, over 14182.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04428, over 109.00 utterances.], tot_loss[loss=0.3524, simple_loss=0.3967, pruned_loss=0.1541, over 2782314.33 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07177, over 44690.99 utterances.], batch size: 109, lr: 8.10e-04
+2022-09-17 10:04:14,417 INFO [train.py:885] (1/2) Epoch 5, batch 6350, loss[loss=0.3057, simple_loss=0.3474, pruned_loss=0.132, over 14077.00 frames. utt_duration=714.3 frames, utt_pad_proportion=0.05392, over 79.00 utterances.], tot_loss[loss=0.3568, simple_loss=0.4011, pruned_loss=0.1563, over 2780350.55 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07376, over 46456.52 utterances.], batch size: 79, lr: 8.10e-04
+2022-09-17 10:04:43,896 INFO [train.py:885] (1/2) Epoch 5, batch 6400, loss[loss=0.342, simple_loss=0.3953, pruned_loss=0.1444, over 14281.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.0433, over 141.00 utterances.], tot_loss[loss=0.3554, simple_loss=0.4003, pruned_loss=0.1553, over 2781033.70 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07311, over 46215.21 utterances.], batch size: 141, lr: 8.10e-04
+2022-09-17 10:05:13,325 INFO [train.py:885] (1/2) Epoch 5, batch 6450, loss[loss=0.4023, simple_loss=0.4223, pruned_loss=0.1912, over 14364.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03786, over 167.00 utterances.], tot_loss[loss=0.3537, simple_loss=0.3989, pruned_loss=0.1542, over 2782855.12 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07217, over 45851.11 utterances.], batch size: 167, lr: 8.09e-04
+2022-09-17 10:05:42,527 INFO [train.py:885] (1/2) Epoch 5, batch 6500, loss[loss=0.2959, simple_loss=0.3493, pruned_loss=0.1213, over 14329.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03837, over 120.00 utterances.], tot_loss[loss=0.3477, simple_loss=0.3928, pruned_loss=0.1513, over 2782854.91 frames. utt_duration=260.9 frames, utt_pad_proportion=0.0688, over 42899.99 utterances.], batch size: 120, lr: 8.09e-04
+2022-09-17 10:06:12,332 INFO [train.py:885] (1/2) Epoch 5, batch 6550, loss[loss=0.2002, simple_loss=0.2527, pruned_loss=0.07384, over 13844.00 frames. utt_duration=924.6 frames, utt_pad_proportion=0.07075, over 60.00 utterances.], tot_loss[loss=0.3488, simple_loss=0.3936, pruned_loss=0.152, over 2784767.96 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06838, over 43413.26 utterances.], batch size: 60, lr: 8.09e-04
+2022-09-17 10:06:42,311 INFO [train.py:885] (1/2) Epoch 5, batch 6600, loss[loss=0.3391, simple_loss=0.384, pruned_loss=0.1471, over 14254.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04549, over 141.00 utterances.], tot_loss[loss=0.3505, simple_loss=0.395, pruned_loss=0.153, over 2783638.70 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06853, over 43941.36 utterances.], batch size: 141, lr: 8.08e-04
+2022-09-17 10:07:11,083 INFO [train.py:885] (1/2) Epoch 5, batch 6650, loss[loss=0.5294, simple_loss=0.5208, pruned_loss=0.269, over 14242.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04184, over 335.00 utterances.], tot_loss[loss=0.3445, simple_loss=0.3904, pruned_loss=0.1493, over 2786786.03 frames. utt_duration=261.6 frames, utt_pad_proportion=0.06708, over 42845.51 utterances.], batch size: 335, lr: 8.08e-04
+2022-09-17 10:07:40,602 INFO [train.py:885] (1/2) Epoch 5, batch 6700, loss[loss=0.2816, simple_loss=0.3364, pruned_loss=0.1134, over 14292.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.0435, over 110.00 utterances.], tot_loss[loss=0.344, simple_loss=0.3897, pruned_loss=0.1491, over 2781373.78 frames. utt_duration=260.9 frames, utt_pad_proportion=0.07046, over 42883.40 utterances.], batch size: 110, lr: 8.08e-04
+2022-09-17 10:08:10,537 INFO [train.py:885] (1/2) Epoch 5, batch 6750, loss[loss=0.3451, simple_loss=0.3951, pruned_loss=0.1476, over 14369.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03745, over 167.00 utterances.], tot_loss[loss=0.3509, simple_loss=0.3953, pruned_loss=0.1532, over 2784860.82 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06796, over 43997.95 utterances.], batch size: 167, lr: 8.07e-04
+2022-09-17 10:08:40,389 INFO [train.py:885] (1/2) Epoch 5, batch 6800, loss[loss=0.2, simple_loss=0.2612, pruned_loss=0.06941, over 13899.00 frames. utt_duration=927.9 frames, utt_pad_proportion=0.06465, over 60.00 utterances.], tot_loss[loss=0.3522, simple_loss=0.3974, pruned_loss=0.1535, over 2782796.47 frames. utt_duration=246.1 frames, utt_pad_proportion=0.0685, over 45507.78 utterances.], batch size: 60, lr: 8.07e-04
+2022-09-17 10:09:09,291 INFO [train.py:885] (1/2) Epoch 5, batch 6850, loss[loss=0.2661, simple_loss=0.3251, pruned_loss=0.1035, over 14123.00 frames. utt_duration=578 frames, utt_pad_proportion=0.05092, over 98.00 utterances.], tot_loss[loss=0.353, simple_loss=0.3978, pruned_loss=0.1541, over 2778959.04 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07003, over 45869.92 utterances.], batch size: 98, lr: 8.07e-04
+2022-09-17 10:09:39,396 INFO [train.py:885] (1/2) Epoch 5, batch 6900, loss[loss=0.2051, simple_loss=0.2543, pruned_loss=0.07798, over 13505.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08979, over 50.00 utterances.], tot_loss[loss=0.3552, simple_loss=0.4002, pruned_loss=0.1551, over 2773901.21 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07405, over 47895.01 utterances.], batch size: 50, lr: 8.06e-04
+2022-09-17 10:10:09,028 INFO [train.py:885] (1/2) Epoch 5, batch 6950, loss[loss=0.1845, simple_loss=0.2204, pruned_loss=0.07432, over 13432.00 frames. utt_duration=1281 frames, utt_pad_proportion=0.09298, over 42.00 utterances.], tot_loss[loss=0.3542, simple_loss=0.3993, pruned_loss=0.1546, over 2776412.57 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07303, over 47927.89 utterances.], batch size: 42, lr: 8.06e-04
+2022-09-17 10:10:38,036 INFO [train.py:885] (1/2) Epoch 5, batch 7000, loss[loss=0.1931, simple_loss=0.2478, pruned_loss=0.06923, over 13004.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.1181, over 33.00 utterances.], tot_loss[loss=0.3533, simple_loss=0.3988, pruned_loss=0.1539, over 2779243.98 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07242, over 47616.72 utterances.], batch size: 33, lr: 8.06e-04
+2022-09-17 10:11:07,722 INFO [train.py:885] (1/2) Epoch 5, batch 7050, loss[loss=0.3468, simple_loss=0.4026, pruned_loss=0.1455, over 14322.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.0374, over 226.00 utterances.], tot_loss[loss=0.3523, simple_loss=0.3984, pruned_loss=0.1531, over 2785639.34 frames. utt_duration=238.1 frames, utt_pad_proportion=0.06979, over 47086.71 utterances.], batch size: 226, lr: 8.05e-04
+2022-09-17 10:11:36,703 INFO [train.py:885] (1/2) Epoch 5, batch 7100, loss[loss=0.2321, simple_loss=0.283, pruned_loss=0.09057, over 13901.00 frames. utt_duration=807.4 frames, utt_pad_proportion=0.06008, over 69.00 utterances.], tot_loss[loss=0.3535, simple_loss=0.3996, pruned_loss=0.1537, over 2784845.68 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07199, over 47457.25 utterances.], batch size: 69, lr: 8.05e-04
+2022-09-17 10:12:07,314 INFO [train.py:885] (1/2) Epoch 5, batch 7150, loss[loss=0.3284, simple_loss=0.3684, pruned_loss=0.1442, over 14340.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.03888, over 154.00 utterances.], tot_loss[loss=0.3572, simple_loss=0.4024, pruned_loss=0.156, over 2781606.17 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07481, over 48280.59 utterances.], batch size: 154, lr: 8.05e-04
+2022-09-17 10:12:35,900 INFO [train.py:885] (1/2) Epoch 5, batch 7200, loss[loss=0.3456, simple_loss=0.3939, pruned_loss=0.1487, over 14270.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04031, over 130.00 utterances.], tot_loss[loss=0.3547, simple_loss=0.4, pruned_loss=0.1546, over 2783550.62 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07301, over 47245.74 utterances.], batch size: 130, lr: 8.04e-04
+2022-09-17 10:13:05,606 INFO [train.py:885] (1/2) Epoch 5, batch 7250, loss[loss=0.3229, simple_loss=0.3693, pruned_loss=0.1383, over 14328.00 frames. utt_duration=438.8 frames, utt_pad_proportion=0.04198, over 131.00 utterances.], tot_loss[loss=0.3572, simple_loss=0.4022, pruned_loss=0.1561, over 2789055.03 frames. utt_duration=239 frames, utt_pad_proportion=0.07148, over 46973.06 utterances.], batch size: 131, lr: 8.04e-04
+2022-09-17 10:13:35,721 INFO [train.py:885] (1/2) Epoch 5, batch 7300, loss[loss=0.6776, simple_loss=0.6971, pruned_loss=0.329, over 12420.00 frames. utt_duration=62.95 frames, utt_pad_proportion=0.1493, over 810.00 utterances.], tot_loss[loss=0.3598, simple_loss=0.4048, pruned_loss=0.1574, over 2783908.81 frames. utt_duration=229.2 frames, utt_pad_proportion=0.07364, over 48898.60 utterances.], batch size: 810, lr: 8.03e-04
+2022-09-17 10:14:04,654 INFO [train.py:885] (1/2) Epoch 5, batch 7350, loss[loss=0.2565, simple_loss=0.3263, pruned_loss=0.09339, over 13818.00 frames. utt_duration=802.4 frames, utt_pad_proportion=0.06587, over 69.00 utterances.], tot_loss[loss=0.3529, simple_loss=0.3989, pruned_loss=0.1535, over 2786351.62 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07082, over 46656.46 utterances.], batch size: 69, lr: 8.03e-04
+2022-09-17 10:14:34,753 INFO [train.py:885] (1/2) Epoch 5, batch 7400, loss[loss=0.3286, simple_loss=0.383, pruned_loss=0.1371, over 14335.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03718, over 195.00 utterances.], tot_loss[loss=0.3536, simple_loss=0.3986, pruned_loss=0.1543, over 2783065.77 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07258, over 46171.68 utterances.], batch size: 195, lr: 8.03e-04
+2022-09-17 10:15:04,633 INFO [train.py:885] (1/2) Epoch 5, batch 7450, loss[loss=0.5257, simple_loss=0.55, pruned_loss=0.2507, over 13787.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07078, over 411.00 utterances.], tot_loss[loss=0.3557, simple_loss=0.4001, pruned_loss=0.1557, over 2785432.76 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07118, over 46410.95 utterances.], batch size: 411, lr: 8.02e-04
+2022-09-17 10:15:34,221 INFO [train.py:885] (1/2) Epoch 5, batch 7500, loss[loss=0.2422, simple_loss=0.2967, pruned_loss=0.09381, over 13983.00 frames. utt_duration=811.8 frames, utt_pad_proportion=0.05492, over 69.00 utterances.], tot_loss[loss=0.3531, simple_loss=0.3974, pruned_loss=0.1544, over 2781982.13 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07114, over 44995.49 utterances.], batch size: 69, lr: 8.02e-04
+2022-09-17 10:16:04,307 INFO [train.py:885] (1/2) Epoch 5, batch 7550, loss[loss=0.2937, simple_loss=0.357, pruned_loss=0.1152, over 14307.00 frames. utt_duration=404.2 frames, utt_pad_proportion=0.04227, over 142.00 utterances.], tot_loss[loss=0.3538, simple_loss=0.3995, pruned_loss=0.1541, over 2780786.96 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07207, over 46960.17 utterances.], batch size: 142, lr: 8.02e-04
+2022-09-17 10:16:41,593 INFO [train.py:885] (1/2) Epoch 5, batch 7600, loss[loss=0.2773, simple_loss=0.3374, pruned_loss=0.1086, over 14333.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.03808, over 130.00 utterances.], tot_loss[loss=0.353, simple_loss=0.3987, pruned_loss=0.1537, over 2786188.74 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07073, over 46481.03 utterances.], batch size: 130, lr: 8.01e-04
+2022-09-17 10:17:11,572 INFO [train.py:885] (1/2) Epoch 5, batch 7650, loss[loss=0.51, simple_loss=0.5443, pruned_loss=0.2378, over 13640.00 frames. utt_duration=98.78 frames, utt_pad_proportion=0.07687, over 560.00 utterances.], tot_loss[loss=0.3518, simple_loss=0.3974, pruned_loss=0.1531, over 2780144.25 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07352, over 46838.71 utterances.], batch size: 560, lr: 8.01e-04
+2022-09-17 10:17:40,900 INFO [train.py:885] (1/2) Epoch 5, batch 7700, loss[loss=0.2726, simple_loss=0.3244, pruned_loss=0.1104, over 14052.00 frames. utt_duration=712.8 frames, utt_pad_proportion=0.05206, over 79.00 utterances.], tot_loss[loss=0.3506, simple_loss=0.3967, pruned_loss=0.1523, over 2781964.38 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07075, over 46374.56 utterances.], batch size: 79, lr: 8.01e-04
+2022-09-17 10:18:10,667 INFO [train.py:885] (1/2) Epoch 5, batch 7750, loss[loss=0.1815, simple_loss=0.243, pruned_loss=0.06, over 13450.00 frames. utt_duration=1313 frames, utt_pad_proportion=0.08083, over 41.00 utterances.], tot_loss[loss=0.3491, simple_loss=0.3948, pruned_loss=0.1517, over 2781188.45 frames. utt_duration=244 frames, utt_pad_proportion=0.07036, over 45866.67 utterances.], batch size: 41, lr: 8.00e-04
+2022-09-17 10:18:39,955 INFO [train.py:885] (1/2) Epoch 5, batch 7800, loss[loss=0.3001, simple_loss=0.3407, pruned_loss=0.1297, over 14182.00 frames. utt_duration=638.9 frames, utt_pad_proportion=0.04635, over 89.00 utterances.], tot_loss[loss=0.3455, simple_loss=0.3919, pruned_loss=0.1495, over 2781729.62 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07049, over 44519.45 utterances.], batch size: 89, lr: 8.00e-04
+2022-09-17 10:19:09,577 INFO [train.py:885] (1/2) Epoch 5, batch 7850, loss[loss=0.3047, simple_loss=0.3548, pruned_loss=0.1273, over 14043.00 frames. utt_duration=574.7 frames, utt_pad_proportion=0.05625, over 98.00 utterances.], tot_loss[loss=0.3432, simple_loss=0.3907, pruned_loss=0.1478, over 2783589.23 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06937, over 44487.94 utterances.], batch size: 98, lr: 8.00e-04
+2022-09-17 10:19:38,835 INFO [train.py:885] (1/2) Epoch 5, batch 7900, loss[loss=0.37, simple_loss=0.4215, pruned_loss=0.1592, over 14353.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03617, over 226.00 utterances.], tot_loss[loss=0.3422, simple_loss=0.3903, pruned_loss=0.147, over 2781160.95 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07084, over 45407.85 utterances.], batch size: 226, lr: 7.99e-04
+2022-09-17 10:20:08,659 INFO [train.py:885] (1/2) Epoch 5, batch 7950, loss[loss=0.4266, simple_loss=0.453, pruned_loss=0.2001, over 14357.00 frames. utt_duration=204.4 frames, utt_pad_proportion=0.03597, over 283.00 utterances.], tot_loss[loss=0.339, simple_loss=0.3874, pruned_loss=0.1453, over 2786742.78 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06813, over 43520.33 utterances.], batch size: 283, lr: 7.99e-04
+2022-09-17 10:20:37,569 INFO [train.py:885] (1/2) Epoch 5, batch 8000, loss[loss=0.2104, simple_loss=0.2797, pruned_loss=0.07053, over 13835.00 frames. utt_duration=803.5 frames, utt_pad_proportion=0.06458, over 69.00 utterances.], tot_loss[loss=0.3377, simple_loss=0.3864, pruned_loss=0.1445, over 2789244.10 frames. utt_duration=262.4 frames, utt_pad_proportion=0.0669, over 42756.67 utterances.], batch size: 69, lr: 7.99e-04
+2022-09-17 10:21:07,160 INFO [train.py:885] (1/2) Epoch 5, batch 8050, loss[loss=0.266, simple_loss=0.3194, pruned_loss=0.1063, over 13998.00 frames. utt_duration=710.3 frames, utt_pad_proportion=0.06051, over 79.00 utterances.], tot_loss[loss=0.3432, simple_loss=0.3904, pruned_loss=0.148, over 2786729.25 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06903, over 43851.07 utterances.], batch size: 79, lr: 7.98e-04
+2022-09-17 10:21:36,916 INFO [train.py:885] (1/2) Epoch 5, batch 8100, loss[loss=0.3749, simple_loss=0.427, pruned_loss=0.1614, over 14332.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.0379, over 262.00 utterances.], tot_loss[loss=0.3484, simple_loss=0.3939, pruned_loss=0.1515, over 2791092.94 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06823, over 43822.22 utterances.], batch size: 262, lr: 7.98e-04
+2022-09-17 10:22:06,050 INFO [train.py:885] (1/2) Epoch 5, batch 8150, loss[loss=0.2461, simple_loss=0.3065, pruned_loss=0.09286, over 13854.00 frames. utt_duration=804.5 frames, utt_pad_proportion=0.06233, over 69.00 utterances.], tot_loss[loss=0.3457, simple_loss=0.3915, pruned_loss=0.1499, over 2796372.09 frames. utt_duration=260.9 frames, utt_pad_proportion=0.06553, over 43119.88 utterances.], batch size: 69, lr: 7.98e-04
+2022-09-17 10:22:35,785 INFO [train.py:885] (1/2) Epoch 5, batch 8200, loss[loss=0.2509, simple_loss=0.3276, pruned_loss=0.08709, over 14053.00 frames. utt_duration=517.2 frames, utt_pad_proportion=0.05281, over 109.00 utterances.], tot_loss[loss=0.3471, simple_loss=0.3933, pruned_loss=0.1505, over 2794227.03 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06793, over 44042.04 utterances.], batch size: 109, lr: 7.97e-04
+2022-09-17 10:23:05,471 INFO [train.py:885] (1/2) Epoch 5, batch 8250, loss[loss=0.3524, simple_loss=0.3974, pruned_loss=0.1537, over 14366.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03748, over 167.00 utterances.], tot_loss[loss=0.3516, simple_loss=0.3965, pruned_loss=0.1533, over 2793401.17 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06833, over 44848.52 utterances.], batch size: 167, lr: 7.97e-04
+2022-09-17 10:23:34,642 INFO [train.py:885] (1/2) Epoch 5, batch 8300, loss[loss=0.3934, simple_loss=0.4228, pruned_loss=0.182, over 14356.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03596, over 195.00 utterances.], tot_loss[loss=0.3498, simple_loss=0.3953, pruned_loss=0.1522, over 2788976.99 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06924, over 44638.74 utterances.], batch size: 195, lr: 7.97e-04
+2022-09-17 10:24:04,675 INFO [train.py:885] (1/2) Epoch 5, batch 8350, loss[loss=0.222, simple_loss=0.2577, pruned_loss=0.09313, over 13049.00 frames. utt_duration=1583 frames, utt_pad_proportion=0.1185, over 33.00 utterances.], tot_loss[loss=0.3468, simple_loss=0.3919, pruned_loss=0.1509, over 2781677.24 frames. utt_duration=256.7 frames, utt_pad_proportion=0.07066, over 43589.31 utterances.], batch size: 33, lr: 7.96e-04
+2022-09-17 10:24:33,586 INFO [train.py:885] (1/2) Epoch 5, batch 8400, loss[loss=0.366, simple_loss=0.4023, pruned_loss=0.1649, over 14293.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.04275, over 141.00 utterances.], tot_loss[loss=0.3496, simple_loss=0.3947, pruned_loss=0.1523, over 2784368.34 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06889, over 44587.01 utterances.], batch size: 141, lr: 7.96e-04
+2022-09-17 10:25:03,794 INFO [train.py:885] (1/2) Epoch 5, batch 8450, loss[loss=0.249, simple_loss=0.2961, pruned_loss=0.1009, over 13671.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.07894, over 50.00 utterances.], tot_loss[loss=0.3481, simple_loss=0.3936, pruned_loss=0.1513, over 2780347.87 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07034, over 45262.18 utterances.], batch size: 50, lr: 7.96e-04
+2022-09-17 10:25:33,030 INFO [train.py:885] (1/2) Epoch 5, batch 8500, loss[loss=0.1956, simple_loss=0.2406, pruned_loss=0.07535, over 12279.00 frames. utt_duration=2048 frames, utt_pad_proportion=0.1702, over 24.00 utterances.], tot_loss[loss=0.3484, simple_loss=0.3943, pruned_loss=0.1513, over 2776168.38 frames. utt_duration=244.8 frames, utt_pad_proportion=0.072, over 45640.08 utterances.], batch size: 24, lr: 7.95e-04
+2022-09-17 10:26:03,441 INFO [train.py:885] (1/2) Epoch 5, batch 8550, loss[loss=0.5123, simple_loss=0.5084, pruned_loss=0.2581, over 14233.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04223, over 306.00 utterances.], tot_loss[loss=0.3455, simple_loss=0.3915, pruned_loss=0.1498, over 2778801.76 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07152, over 44253.40 utterances.], batch size: 306, lr: 7.95e-04
+2022-09-17 10:26:32,530 INFO [train.py:885] (1/2) Epoch 5, batch 8600, loss[loss=0.3444, simple_loss=0.4256, pruned_loss=0.1316, over 13786.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07134, over 411.00 utterances.], tot_loss[loss=0.3426, simple_loss=0.389, pruned_loss=0.1481, over 2778497.02 frames. utt_duration=256.4 frames, utt_pad_proportion=0.07132, over 43593.05 utterances.], batch size: 411, lr: 7.95e-04
+2022-09-17 10:27:02,296 INFO [train.py:885] (1/2) Epoch 5, batch 8650, loss[loss=0.6684, simple_loss=0.6869, pruned_loss=0.325, over 12441.00 frames. utt_duration=63.04 frames, utt_pad_proportion=0.148, over 810.00 utterances.], tot_loss[loss=0.3465, simple_loss=0.3926, pruned_loss=0.1502, over 2776591.83 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07269, over 45155.74 utterances.], batch size: 810, lr: 7.94e-04
+2022-09-17 10:27:31,199 INFO [train.py:885] (1/2) Epoch 5, batch 8700, loss[loss=0.3221, simple_loss=0.3836, pruned_loss=0.1303, over 14334.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03901, over 154.00 utterances.], tot_loss[loss=0.3466, simple_loss=0.393, pruned_loss=0.1501, over 2778277.81 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07066, over 45401.99 utterances.], batch size: 154, lr: 7.94e-04
+2022-09-17 10:27:59,898 INFO [train.py:885] (1/2) Epoch 5, batch 8750, loss[loss=0.3899, simple_loss=0.4237, pruned_loss=0.1781, over 14391.00 frames. utt_duration=296.8 frames, utt_pad_proportion=0.03321, over 195.00 utterances.], tot_loss[loss=0.3475, simple_loss=0.3934, pruned_loss=0.1508, over 2779869.70 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07024, over 45013.48 utterances.], batch size: 195, lr: 7.94e-04
+2022-09-17 10:28:29,486 INFO [train.py:885] (1/2) Epoch 5, batch 8800, loss[loss=0.1743, simple_loss=0.2204, pruned_loss=0.06408, over 13418.00 frames. utt_duration=1627 frames, utt_pad_proportion=0.09693, over 33.00 utterances.], tot_loss[loss=0.3467, simple_loss=0.3936, pruned_loss=0.1499, over 2774085.13 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07229, over 46204.60 utterances.], batch size: 33, lr: 7.93e-04
+2022-09-17 10:28:58,936 INFO [train.py:885] (1/2) Epoch 5, batch 8850, loss[loss=0.4166, simple_loss=0.452, pruned_loss=0.1906, over 14300.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03975, over 283.00 utterances.], tot_loss[loss=0.3488, simple_loss=0.3963, pruned_loss=0.1506, over 2782046.87 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07064, over 46863.41 utterances.], batch size: 283, lr: 7.93e-04
+2022-09-17 10:29:28,862 INFO [train.py:885] (1/2) Epoch 5, batch 8900, loss[loss=0.2264, simple_loss=0.2888, pruned_loss=0.08203, over 14141.00 frames. utt_duration=637 frames, utt_pad_proportion=0.0506, over 89.00 utterances.], tot_loss[loss=0.3516, simple_loss=0.3987, pruned_loss=0.1522, over 2778594.50 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07388, over 47581.23 utterances.], batch size: 89, lr: 7.93e-04
+2022-09-17 10:29:58,659 INFO [train.py:885] (1/2) Epoch 5, batch 8950, loss[loss=0.3651, simple_loss=0.4179, pruned_loss=0.1562, over 14347.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03401, over 244.00 utterances.], tot_loss[loss=0.3503, simple_loss=0.3977, pruned_loss=0.1514, over 2782950.72 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07122, over 47168.75 utterances.], batch size: 244, lr: 7.92e-04
+2022-09-17 10:30:28,612 INFO [train.py:885] (1/2) Epoch 5, batch 9000, loss[loss=0.3198, simple_loss=0.3704, pruned_loss=0.1345, over 14233.00 frames. utt_duration=439.6 frames, utt_pad_proportion=0.04228, over 130.00 utterances.], tot_loss[loss=0.3459, simple_loss=0.3933, pruned_loss=0.1493, over 2781261.86 frames. utt_duration=245.7 frames, utt_pad_proportion=0.06929, over 45544.34 utterances.], batch size: 130, lr: 7.92e-04
+2022-09-17 10:30:28,613 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 10:30:32,886 INFO [train.py:914] (1/2) Epoch 5, validation: loss=0.2282, simple_loss=0.2991, pruned_loss=0.0787, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 10:31:03,119 INFO [train.py:885] (1/2) Epoch 5, batch 9050, loss[loss=0.5067, simple_loss=0.5433, pruned_loss=0.235, over 13582.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.08431, over 477.00 utterances.], tot_loss[loss=0.3493, simple_loss=0.3963, pruned_loss=0.1512, over 2780298.63 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07083, over 46708.97 utterances.], batch size: 477, lr: 7.92e-04
+2022-09-17 10:31:32,179 INFO [train.py:885] (1/2) Epoch 5, batch 9100, loss[loss=0.4, simple_loss=0.416, pruned_loss=0.192, over 14304.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.03843, over 154.00 utterances.], tot_loss[loss=0.3531, simple_loss=0.3994, pruned_loss=0.1534, over 2780443.46 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07007, over 47299.12 utterances.], batch size: 154, lr: 7.91e-04
+2022-09-17 10:32:01,997 INFO [train.py:885] (1/2) Epoch 5, batch 9150, loss[loss=0.3122, simple_loss=0.3559, pruned_loss=0.1342, over 14069.00 frames. utt_duration=575.5 frames, utt_pad_proportion=0.05508, over 98.00 utterances.], tot_loss[loss=0.3483, simple_loss=0.3954, pruned_loss=0.1506, over 2781052.33 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07051, over 46016.90 utterances.], batch size: 98, lr: 7.91e-04
+2022-09-17 10:32:31,065 INFO [train.py:885] (1/2) Epoch 5, batch 9200, loss[loss=0.4074, simple_loss=0.4469, pruned_loss=0.1839, over 14228.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04323, over 306.00 utterances.], tot_loss[loss=0.3431, simple_loss=0.3904, pruned_loss=0.1479, over 2784608.42 frames. utt_duration=254.8 frames, utt_pad_proportion=0.0676, over 43964.47 utterances.], batch size: 306, lr: 7.91e-04
+2022-09-17 10:33:00,885 INFO [train.py:885] (1/2) Epoch 5, batch 9250, loss[loss=0.1916, simple_loss=0.2485, pruned_loss=0.06735, over 13580.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.09344, over 42.00 utterances.], tot_loss[loss=0.3439, simple_loss=0.3911, pruned_loss=0.1484, over 2778966.62 frames. utt_duration=253.2 frames, utt_pad_proportion=0.0692, over 44165.51 utterances.], batch size: 42, lr: 7.90e-04
+2022-09-17 10:33:30,140 INFO [train.py:885] (1/2) Epoch 5, batch 9300, loss[loss=0.4346, simple_loss=0.4589, pruned_loss=0.2051, over 14337.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03446, over 244.00 utterances.], tot_loss[loss=0.3453, simple_loss=0.3915, pruned_loss=0.1495, over 2783132.69 frames. utt_duration=258.9 frames, utt_pad_proportion=0.06774, over 43246.40 utterances.], batch size: 244, lr: 7.90e-04
+2022-09-17 10:34:00,237 INFO [train.py:885] (1/2) Epoch 5, batch 9350, loss[loss=0.3485, simple_loss=0.3967, pruned_loss=0.1501, over 14301.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.03879, over 154.00 utterances.], tot_loss[loss=0.3482, simple_loss=0.3944, pruned_loss=0.151, over 2779265.23 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07047, over 44796.72 utterances.], batch size: 154, lr: 7.90e-04
+2022-09-17 10:34:29,398 INFO [train.py:885] (1/2) Epoch 5, batch 9400, loss[loss=0.4141, simple_loss=0.4468, pruned_loss=0.1907, over 14371.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03454, over 210.00 utterances.], tot_loss[loss=0.3485, simple_loss=0.3948, pruned_loss=0.151, over 2778727.99 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07116, over 45013.49 utterances.], batch size: 210, lr: 7.89e-04
+2022-09-17 10:34:59,325 INFO [train.py:885] (1/2) Epoch 5, batch 9450, loss[loss=0.2401, simple_loss=0.2871, pruned_loss=0.09655, over 13840.00 frames. utt_duration=803.8 frames, utt_pad_proportion=0.06428, over 69.00 utterances.], tot_loss[loss=0.3456, simple_loss=0.3926, pruned_loss=0.1493, over 2777683.55 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07204, over 44842.98 utterances.], batch size: 69, lr: 7.89e-04
+2022-09-17 10:35:28,668 INFO [train.py:885] (1/2) Epoch 5, batch 9500, loss[loss=0.4527, simple_loss=0.4711, pruned_loss=0.2171, over 14232.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04328, over 335.00 utterances.], tot_loss[loss=0.345, simple_loss=0.392, pruned_loss=0.149, over 2781826.93 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07046, over 44652.37 utterances.], batch size: 335, lr: 7.89e-04
+2022-09-17 10:35:58,883 INFO [train.py:885] (1/2) Epoch 5, batch 9550, loss[loss=0.2955, simple_loss=0.3462, pruned_loss=0.1224, over 14213.00 frames. utt_duration=523.1 frames, utt_pad_proportion=0.04189, over 109.00 utterances.], tot_loss[loss=0.3508, simple_loss=0.3972, pruned_loss=0.1522, over 2780473.59 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07342, over 46327.43 utterances.], batch size: 109, lr: 7.88e-04
+2022-09-17 10:36:28,129 INFO [train.py:885] (1/2) Epoch 5, batch 9600, loss[loss=0.3531, simple_loss=0.3993, pruned_loss=0.1534, over 14324.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04067, over 167.00 utterances.], tot_loss[loss=0.3473, simple_loss=0.394, pruned_loss=0.1503, over 2780925.04 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07207, over 45077.90 utterances.], batch size: 167, lr: 7.88e-04
+2022-09-17 10:36:58,066 INFO [train.py:885] (1/2) Epoch 5, batch 9650, loss[loss=0.3387, simple_loss=0.3904, pruned_loss=0.1435, over 14307.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04038, over 154.00 utterances.], tot_loss[loss=0.3466, simple_loss=0.3931, pruned_loss=0.15, over 2776861.50 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07218, over 44882.04 utterances.], batch size: 154, lr: 7.88e-04
+2022-09-17 10:37:27,260 INFO [train.py:885] (1/2) Epoch 5, batch 9700, loss[loss=0.2418, simple_loss=0.2943, pruned_loss=0.09469, over 14009.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.05865, over 79.00 utterances.], tot_loss[loss=0.3465, simple_loss=0.3925, pruned_loss=0.1503, over 2779652.42 frames. utt_duration=254.3 frames, utt_pad_proportion=0.07093, over 43977.45 utterances.], batch size: 79, lr: 7.87e-04
+2022-09-17 10:37:57,251 INFO [train.py:885] (1/2) Epoch 5, batch 9750, loss[loss=0.2169, simple_loss=0.2469, pruned_loss=0.09348, over 13467.00 frames. utt_duration=1634 frames, utt_pad_proportion=0.09701, over 33.00 utterances.], tot_loss[loss=0.3491, simple_loss=0.3951, pruned_loss=0.1515, over 2779481.54 frames. utt_duration=248 frames, utt_pad_proportion=0.07196, over 45103.31 utterances.], batch size: 33, lr: 7.87e-04
+2022-09-17 10:38:26,697 INFO [train.py:885] (1/2) Epoch 5, batch 9800, loss[loss=0.2288, simple_loss=0.2843, pruned_loss=0.08665, over 13663.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.0878, over 42.00 utterances.], tot_loss[loss=0.3502, simple_loss=0.3965, pruned_loss=0.1519, over 2777541.98 frames. utt_duration=242 frames, utt_pad_proportion=0.07128, over 46187.56 utterances.], batch size: 42, lr: 7.87e-04
+2022-09-17 10:38:55,911 INFO [train.py:885] (1/2) Epoch 5, batch 9850, loss[loss=0.3484, simple_loss=0.3974, pruned_loss=0.1497, over 14326.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03686, over 180.00 utterances.], tot_loss[loss=0.3507, simple_loss=0.3966, pruned_loss=0.1524, over 2780539.48 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06999, over 45343.29 utterances.], batch size: 180, lr: 7.86e-04
+2022-09-17 10:39:25,893 INFO [train.py:885] (1/2) Epoch 5, batch 9900, loss[loss=0.3381, simple_loss=0.3923, pruned_loss=0.1419, over 14301.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.0386, over 180.00 utterances.], tot_loss[loss=0.3511, simple_loss=0.3971, pruned_loss=0.1526, over 2775828.24 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07298, over 46343.42 utterances.], batch size: 180, lr: 7.86e-04
+2022-09-17 10:39:55,770 INFO [train.py:885] (1/2) Epoch 5, batch 9950, loss[loss=0.4258, simple_loss=0.4458, pruned_loss=0.2029, over 14309.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.0401, over 262.00 utterances.], tot_loss[loss=0.3531, simple_loss=0.3986, pruned_loss=0.1538, over 2778741.32 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07238, over 46741.61 utterances.], batch size: 262, lr: 7.86e-04
+2022-09-17 10:40:25,399 INFO [train.py:885] (1/2) Epoch 5, batch 10000, loss[loss=0.4144, simple_loss=0.4457, pruned_loss=0.1915, over 14316.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03927, over 283.00 utterances.], tot_loss[loss=0.3551, simple_loss=0.4005, pruned_loss=0.1548, over 2774740.61 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07489, over 47055.26 utterances.], batch size: 283, lr: 7.85e-04
+2022-09-17 10:40:54,548 INFO [train.py:885] (1/2) Epoch 5, batch 10050, loss[loss=0.2786, simple_loss=0.3143, pruned_loss=0.1215, over 13638.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.0826, over 50.00 utterances.], tot_loss[loss=0.3554, simple_loss=0.4008, pruned_loss=0.155, over 2778699.58 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07253, over 46459.56 utterances.], batch size: 50, lr: 7.85e-04
+2022-09-17 10:41:24,618 INFO [train.py:885] (1/2) Epoch 5, batch 10100, loss[loss=0.3846, simple_loss=0.4307, pruned_loss=0.1693, over 14387.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.0353, over 244.00 utterances.], tot_loss[loss=0.3535, simple_loss=0.3992, pruned_loss=0.1539, over 2776421.39 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07409, over 46239.84 utterances.], batch size: 244, lr: 7.85e-04
+2022-09-17 10:41:53,542 INFO [train.py:885] (1/2) Epoch 5, batch 10150, loss[loss=0.7677, simple_loss=0.7516, pruned_loss=0.3919, over 12490.00 frames. utt_duration=63.21 frames, utt_pad_proportion=0.1458, over 810.00 utterances.], tot_loss[loss=0.3535, simple_loss=0.3993, pruned_loss=0.1538, over 2778569.62 frames. utt_duration=242.9 frames, utt_pad_proportion=0.0722, over 46034.33 utterances.], batch size: 810, lr: 7.85e-04
+2022-09-17 10:42:23,468 INFO [train.py:885] (1/2) Epoch 5, batch 10200, loss[loss=0.3995, simple_loss=0.4349, pruned_loss=0.182, over 14337.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03722, over 283.00 utterances.], tot_loss[loss=0.3525, simple_loss=0.3983, pruned_loss=0.1533, over 2783956.90 frames. utt_duration=246 frames, utt_pad_proportion=0.06912, over 45532.95 utterances.], batch size: 283, lr: 7.84e-04
+2022-09-17 10:42:52,733 INFO [train.py:885] (1/2) Epoch 5, batch 10250, loss[loss=0.3241, simple_loss=0.3713, pruned_loss=0.1384, over 14195.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04335, over 109.00 utterances.], tot_loss[loss=0.3509, simple_loss=0.3975, pruned_loss=0.1522, over 2782368.46 frames. utt_duration=243.4 frames, utt_pad_proportion=0.06974, over 46005.85 utterances.], batch size: 109, lr: 7.84e-04
+2022-09-17 10:43:22,033 INFO [train.py:885] (1/2) Epoch 5, batch 10300, loss[loss=0.398, simple_loss=0.4355, pruned_loss=0.1803, over 14387.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03123, over 244.00 utterances.], tot_loss[loss=0.3499, simple_loss=0.3968, pruned_loss=0.1515, over 2779440.02 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07005, over 45721.78 utterances.], batch size: 244, lr: 7.84e-04
+2022-09-17 10:43:52,245 INFO [train.py:885] (1/2) Epoch 5, batch 10350, loss[loss=0.3318, simple_loss=0.3888, pruned_loss=0.1374, over 14317.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.0398, over 154.00 utterances.], tot_loss[loss=0.3509, simple_loss=0.3975, pruned_loss=0.1521, over 2774036.15 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07214, over 46448.13 utterances.], batch size: 154, lr: 7.83e-04
+2022-09-17 10:44:21,966 INFO [train.py:885] (1/2) Epoch 5, batch 10400, loss[loss=0.414, simple_loss=0.444, pruned_loss=0.192, over 14361.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03705, over 244.00 utterances.], tot_loss[loss=0.3525, simple_loss=0.3989, pruned_loss=0.153, over 2771870.45 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07483, over 46931.50 utterances.], batch size: 244, lr: 7.83e-04
+2022-09-17 10:44:51,109 INFO [train.py:885] (1/2) Epoch 5, batch 10450, loss[loss=0.3218, simple_loss=0.3832, pruned_loss=0.1302, over 14354.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03592, over 210.00 utterances.], tot_loss[loss=0.3549, simple_loss=0.4007, pruned_loss=0.1546, over 2773598.00 frames. utt_duration=237 frames, utt_pad_proportion=0.0757, over 47103.33 utterances.], batch size: 210, lr: 7.83e-04
+2022-09-17 10:45:20,362 INFO [train.py:885] (1/2) Epoch 5, batch 10500, loss[loss=0.2888, simple_loss=0.359, pruned_loss=0.1093, over 14300.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04118, over 154.00 utterances.], tot_loss[loss=0.3516, simple_loss=0.3983, pruned_loss=0.1524, over 2780779.84 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07324, over 45943.21 utterances.], batch size: 154, lr: 7.82e-04
+2022-09-17 10:45:50,265 INFO [train.py:885] (1/2) Epoch 5, batch 10550, loss[loss=0.4476, simple_loss=0.4664, pruned_loss=0.2144, over 14224.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04267, over 306.00 utterances.], tot_loss[loss=0.3518, simple_loss=0.3981, pruned_loss=0.1528, over 2780759.96 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07373, over 45730.11 utterances.], batch size: 306, lr: 7.82e-04
+2022-09-17 10:46:19,998 INFO [train.py:885] (1/2) Epoch 5, batch 10600, loss[loss=0.4033, simple_loss=0.4482, pruned_loss=0.1792, over 14333.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03747, over 283.00 utterances.], tot_loss[loss=0.3492, simple_loss=0.3958, pruned_loss=0.1513, over 2782768.61 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07258, over 45444.76 utterances.], batch size: 283, lr: 7.82e-04
+2022-09-17 10:46:49,476 INFO [train.py:885] (1/2) Epoch 5, batch 10650, loss[loss=0.3432, simple_loss=0.3849, pruned_loss=0.1507, over 14262.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04507, over 141.00 utterances.], tot_loss[loss=0.3521, simple_loss=0.3984, pruned_loss=0.1529, over 2781970.56 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07334, over 46355.25 utterances.], batch size: 141, lr: 7.81e-04
+2022-09-17 10:47:18,868 INFO [train.py:885] (1/2) Epoch 5, batch 10700, loss[loss=0.2499, simple_loss=0.3071, pruned_loss=0.09642, over 13606.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08474, over 50.00 utterances.], tot_loss[loss=0.3532, simple_loss=0.3995, pruned_loss=0.1535, over 2783583.65 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07204, over 46828.00 utterances.], batch size: 50, lr: 7.81e-04
+2022-09-17 10:47:48,071 INFO [train.py:885] (1/2) Epoch 5, batch 10750, loss[loss=0.3912, simple_loss=0.4581, pruned_loss=0.1622, over 13644.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08018, over 477.00 utterances.], tot_loss[loss=0.3488, simple_loss=0.3955, pruned_loss=0.151, over 2784629.75 frames. utt_duration=247.9 frames, utt_pad_proportion=0.0718, over 45193.70 utterances.], batch size: 477, lr: 7.81e-04
+2022-09-17 10:48:17,900 INFO [train.py:885] (1/2) Epoch 5, batch 10800, loss[loss=0.2718, simple_loss=0.3172, pruned_loss=0.1132, over 13481.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.09008, over 50.00 utterances.], tot_loss[loss=0.3544, simple_loss=0.3998, pruned_loss=0.1545, over 2782980.90 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07243, over 46119.52 utterances.], batch size: 50, lr: 7.80e-04
+2022-09-17 10:48:47,170 INFO [train.py:885] (1/2) Epoch 5, batch 10850, loss[loss=0.2713, simple_loss=0.3264, pruned_loss=0.1081, over 13779.00 frames. utt_duration=800.2 frames, utt_pad_proportion=0.0684, over 69.00 utterances.], tot_loss[loss=0.3554, simple_loss=0.4009, pruned_loss=0.155, over 2781013.98 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07424, over 46142.64 utterances.], batch size: 69, lr: 7.80e-04
+2022-09-17 10:49:17,156 INFO [train.py:885] (1/2) Epoch 5, batch 10900, loss[loss=0.2253, simple_loss=0.2784, pruned_loss=0.0861, over 13926.00 frames. utt_duration=808.8 frames, utt_pad_proportion=0.05841, over 69.00 utterances.], tot_loss[loss=0.3566, simple_loss=0.4024, pruned_loss=0.1554, over 2783599.08 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07455, over 46849.73 utterances.], batch size: 69, lr: 7.80e-04
+2022-09-17 10:49:46,798 INFO [train.py:885] (1/2) Epoch 5, batch 10950, loss[loss=0.4684, simple_loss=0.5207, pruned_loss=0.2081, over 13621.00 frames. utt_duration=98.74 frames, utt_pad_proportion=0.07717, over 560.00 utterances.], tot_loss[loss=0.3551, simple_loss=0.4015, pruned_loss=0.1544, over 2782565.00 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07513, over 46842.12 utterances.], batch size: 560, lr: 7.79e-04
+2022-09-17 10:50:15,687 INFO [train.py:885] (1/2) Epoch 5, batch 11000, loss[loss=0.3544, simple_loss=0.3716, pruned_loss=0.1686, over 14138.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.04695, over 109.00 utterances.], tot_loss[loss=0.3512, simple_loss=0.3982, pruned_loss=0.1521, over 2784666.54 frames. utt_duration=243 frames, utt_pad_proportion=0.07345, over 46113.31 utterances.], batch size: 109, lr: 7.79e-04
+2022-09-17 10:50:45,581 INFO [train.py:885] (1/2) Epoch 5, batch 11050, loss[loss=0.5165, simple_loss=0.5669, pruned_loss=0.2331, over 13231.00 frames. utt_duration=82.54 frames, utt_pad_proportion=0.1028, over 653.00 utterances.], tot_loss[loss=0.3543, simple_loss=0.4011, pruned_loss=0.1537, over 2782821.45 frames. utt_duration=235 frames, utt_pad_proportion=0.07381, over 47678.33 utterances.], batch size: 653, lr: 7.79e-04
+2022-09-17 10:51:15,775 INFO [train.py:885] (1/2) Epoch 5, batch 11100, loss[loss=0.4545, simple_loss=0.4726, pruned_loss=0.2182, over 14330.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03848, over 262.00 utterances.], tot_loss[loss=0.3526, simple_loss=0.3997, pruned_loss=0.1527, over 2780504.18 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07436, over 47503.93 utterances.], batch size: 262, lr: 7.78e-04
+2022-09-17 10:51:45,374 INFO [train.py:885] (1/2) Epoch 5, batch 11150, loss[loss=0.3182, simple_loss=0.3698, pruned_loss=0.1333, over 14204.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04839, over 141.00 utterances.], tot_loss[loss=0.3507, simple_loss=0.3973, pruned_loss=0.152, over 2778606.72 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07523, over 46337.75 utterances.], batch size: 141, lr: 7.78e-04
+2022-09-17 10:52:14,490 INFO [train.py:885] (1/2) Epoch 5, batch 11200, loss[loss=0.4505, simple_loss=0.5171, pruned_loss=0.1919, over 13178.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.1059, over 653.00 utterances.], tot_loss[loss=0.3498, simple_loss=0.3964, pruned_loss=0.1516, over 2780580.19 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07391, over 46126.56 utterances.], batch size: 653, lr: 7.78e-04
+2022-09-17 10:52:44,513 INFO [train.py:885] (1/2) Epoch 5, batch 11250, loss[loss=0.3785, simple_loss=0.4496, pruned_loss=0.1537, over 13697.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07679, over 477.00 utterances.], tot_loss[loss=0.3495, simple_loss=0.3966, pruned_loss=0.1511, over 2778860.26 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07404, over 46941.20 utterances.], batch size: 477, lr: 7.78e-04
+2022-09-17 10:53:13,737 INFO [train.py:885] (1/2) Epoch 5, batch 11300, loss[loss=0.3898, simple_loss=0.4358, pruned_loss=0.1719, over 14004.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05545, over 365.00 utterances.], tot_loss[loss=0.3495, simple_loss=0.3965, pruned_loss=0.1512, over 2776215.04 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07413, over 46824.92 utterances.], batch size: 365, lr: 7.77e-04
+2022-09-17 10:53:43,489 INFO [train.py:885] (1/2) Epoch 5, batch 11350, loss[loss=0.4354, simple_loss=0.5072, pruned_loss=0.1819, over 13612.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.0779, over 560.00 utterances.], tot_loss[loss=0.3479, simple_loss=0.3953, pruned_loss=0.1502, over 2776831.62 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07386, over 46815.07 utterances.], batch size: 560, lr: 7.77e-04
+2022-09-17 10:54:13,426 INFO [train.py:885] (1/2) Epoch 5, batch 11400, loss[loss=0.3526, simple_loss=0.4043, pruned_loss=0.1505, over 14358.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03708, over 262.00 utterances.], tot_loss[loss=0.353, simple_loss=0.3989, pruned_loss=0.1535, over 2775885.28 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07519, over 47626.62 utterances.], batch size: 262, lr: 7.77e-04
+2022-09-17 10:54:42,957 INFO [train.py:885] (1/2) Epoch 5, batch 11450, loss[loss=0.4206, simple_loss=0.4494, pruned_loss=0.1959, over 14230.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.0429, over 306.00 utterances.], tot_loss[loss=0.3464, simple_loss=0.3934, pruned_loss=0.1497, over 2776348.65 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07333, over 46080.12 utterances.], batch size: 306, lr: 7.76e-04
+2022-09-17 10:55:12,483 INFO [train.py:885] (1/2) Epoch 5, batch 11500, loss[loss=0.2287, simple_loss=0.2862, pruned_loss=0.08556, over 13797.00 frames. utt_duration=801.4 frames, utt_pad_proportion=0.06708, over 69.00 utterances.], tot_loss[loss=0.3477, simple_loss=0.395, pruned_loss=0.1501, over 2781180.23 frames. utt_duration=238.5 frames, utt_pad_proportion=0.0723, over 46945.49 utterances.], batch size: 69, lr: 7.76e-04
+2022-09-17 10:55:41,818 INFO [train.py:885] (1/2) Epoch 5, batch 11550, loss[loss=0.3068, simple_loss=0.3676, pruned_loss=0.123, over 14348.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03895, over 167.00 utterances.], tot_loss[loss=0.347, simple_loss=0.3949, pruned_loss=0.1496, over 2779130.29 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07272, over 47372.75 utterances.], batch size: 167, lr: 7.76e-04
+2022-09-17 10:56:11,260 INFO [train.py:885] (1/2) Epoch 5, batch 11600, loss[loss=0.54, simple_loss=0.5707, pruned_loss=0.2546, over 13657.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.0774, over 561.00 utterances.], tot_loss[loss=0.3468, simple_loss=0.3951, pruned_loss=0.1492, over 2775718.67 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07446, over 47656.19 utterances.], batch size: 561, lr: 7.75e-04
+2022-09-17 10:56:40,457 INFO [train.py:885] (1/2) Epoch 5, batch 11650, loss[loss=0.5351, simple_loss=0.5234, pruned_loss=0.2734, over 14252.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04133, over 306.00 utterances.], tot_loss[loss=0.3461, simple_loss=0.3941, pruned_loss=0.149, over 2773756.79 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07284, over 46894.89 utterances.], batch size: 306, lr: 7.75e-04
+2022-09-17 10:57:09,891 INFO [train.py:885] (1/2) Epoch 5, batch 11700, loss[loss=0.2573, simple_loss=0.3141, pruned_loss=0.1002, over 14139.00 frames. utt_duration=578.5 frames, utt_pad_proportion=0.0501, over 98.00 utterances.], tot_loss[loss=0.3485, simple_loss=0.3962, pruned_loss=0.1504, over 2774009.29 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07411, over 47286.29 utterances.], batch size: 98, lr: 7.75e-04
+2022-09-17 10:57:39,701 INFO [train.py:885] (1/2) Epoch 5, batch 11750, loss[loss=0.2071, simple_loss=0.2538, pruned_loss=0.08019, over 11853.00 frames. utt_duration=1977 frames, utt_pad_proportion=0.1959, over 24.00 utterances.], tot_loss[loss=0.346, simple_loss=0.3937, pruned_loss=0.1492, over 2775346.11 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07255, over 46193.03 utterances.], batch size: 24, lr: 7.74e-04
+2022-09-17 10:58:08,291 INFO [train.py:885] (1/2) Epoch 5, batch 11800, loss[loss=0.3703, simple_loss=0.4084, pruned_loss=0.1661, over 14266.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.0406, over 180.00 utterances.], tot_loss[loss=0.3451, simple_loss=0.3926, pruned_loss=0.1488, over 2778779.09 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07117, over 45418.58 utterances.], batch size: 180, lr: 7.74e-04
+2022-09-17 10:58:38,496 INFO [train.py:885] (1/2) Epoch 5, batch 11850, loss[loss=0.437, simple_loss=0.4916, pruned_loss=0.1912, over 13650.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08187, over 478.00 utterances.], tot_loss[loss=0.3486, simple_loss=0.3956, pruned_loss=0.1508, over 2776158.83 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07296, over 46737.98 utterances.], batch size: 478, lr: 7.74e-04
+2022-09-17 10:59:15,608 INFO [train.py:885] (1/2) Epoch 5, batch 11900, loss[loss=0.4012, simple_loss=0.4397, pruned_loss=0.1814, over 14235.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04334, over 335.00 utterances.], tot_loss[loss=0.3482, simple_loss=0.3954, pruned_loss=0.1505, over 2778445.00 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07231, over 46062.73 utterances.], batch size: 335, lr: 7.74e-04
+2022-09-17 10:59:46,299 INFO [train.py:885] (1/2) Epoch 5, batch 11950, loss[loss=0.4298, simple_loss=0.4473, pruned_loss=0.2062, over 14317.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03755, over 226.00 utterances.], tot_loss[loss=0.348, simple_loss=0.3959, pruned_loss=0.1501, over 2781076.04 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07122, over 46473.56 utterances.], batch size: 226, lr: 7.73e-04
+2022-09-17 11:00:14,689 INFO [train.py:885] (1/2) Epoch 5, batch 12000, loss[loss=0.2254, simple_loss=0.2775, pruned_loss=0.08671, over 13344.00 frames. utt_duration=1619 frames, utt_pad_proportion=0.1015, over 33.00 utterances.], tot_loss[loss=0.3466, simple_loss=0.3935, pruned_loss=0.1499, over 2783831.82 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06929, over 45377.18 utterances.], batch size: 33, lr: 7.73e-04
+2022-09-17 11:00:14,690 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 11:00:18,859 INFO [train.py:914] (1/2) Epoch 5, validation: loss=0.2292, simple_loss=0.2982, pruned_loss=0.08013, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 11:00:48,285 INFO [train.py:885] (1/2) Epoch 5, batch 12050, loss[loss=0.4261, simple_loss=0.4498, pruned_loss=0.2012, over 14301.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.0399, over 262.00 utterances.], tot_loss[loss=0.3456, simple_loss=0.3929, pruned_loss=0.1492, over 2778940.43 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07177, over 46002.93 utterances.], batch size: 262, lr: 7.73e-04
+2022-09-17 11:01:17,721 INFO [train.py:885] (1/2) Epoch 5, batch 12100, loss[loss=0.4218, simple_loss=0.4855, pruned_loss=0.179, over 13674.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.0802, over 478.00 utterances.], tot_loss[loss=0.3449, simple_loss=0.3919, pruned_loss=0.149, over 2782536.99 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07059, over 45263.91 utterances.], batch size: 478, lr: 7.72e-04
+2022-09-17 11:01:47,086 INFO [train.py:885] (1/2) Epoch 5, batch 12150, loss[loss=0.3564, simple_loss=0.3979, pruned_loss=0.1575, over 14268.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04041, over 180.00 utterances.], tot_loss[loss=0.3438, simple_loss=0.3905, pruned_loss=0.1485, over 2780369.95 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07128, over 44633.19 utterances.], batch size: 180, lr: 7.72e-04
+2022-09-17 11:02:17,106 INFO [train.py:885] (1/2) Epoch 5, batch 12200, loss[loss=0.3757, simple_loss=0.4134, pruned_loss=0.169, over 14271.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04285, over 154.00 utterances.], tot_loss[loss=0.3512, simple_loss=0.397, pruned_loss=0.1527, over 2776809.37 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07394, over 46642.23 utterances.], batch size: 154, lr: 7.72e-04
+2022-09-17 11:02:47,129 INFO [train.py:885] (1/2) Epoch 5, batch 12250, loss[loss=0.324, simple_loss=0.3598, pruned_loss=0.1441, over 14022.00 frames. utt_duration=573.8 frames, utt_pad_proportion=0.05937, over 98.00 utterances.], tot_loss[loss=0.35, simple_loss=0.3962, pruned_loss=0.1519, over 2777223.36 frames. utt_duration=241.8 frames, utt_pad_proportion=0.0737, over 46223.04 utterances.], batch size: 98, lr: 7.71e-04
+2022-09-17 11:03:16,424 INFO [train.py:885] (1/2) Epoch 5, batch 12300, loss[loss=0.4555, simple_loss=0.504, pruned_loss=0.2035, over 13724.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07448, over 411.00 utterances.], tot_loss[loss=0.3498, simple_loss=0.396, pruned_loss=0.1518, over 2777551.43 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07199, over 45898.64 utterances.], batch size: 411, lr: 7.71e-04
+2022-09-17 11:03:46,425 INFO [train.py:885] (1/2) Epoch 5, batch 12350, loss[loss=0.2275, simple_loss=0.273, pruned_loss=0.09104, over 13634.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.08217, over 50.00 utterances.], tot_loss[loss=0.3509, simple_loss=0.3971, pruned_loss=0.1523, over 2779696.96 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07233, over 46283.31 utterances.], batch size: 50, lr: 7.71e-04
+2022-09-17 11:04:15,333 INFO [train.py:885] (1/2) Epoch 5, batch 12400, loss[loss=0.4908, simple_loss=0.4993, pruned_loss=0.2412, over 14173.00 frames. utt_duration=186.9 frames, utt_pad_proportion=0.04645, over 306.00 utterances.], tot_loss[loss=0.3519, simple_loss=0.3975, pruned_loss=0.1531, over 2781697.20 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07285, over 46281.72 utterances.], batch size: 306, lr: 7.70e-04
+2022-09-17 11:04:45,287 INFO [train.py:885] (1/2) Epoch 5, batch 12450, loss[loss=0.356, simple_loss=0.4067, pruned_loss=0.1526, over 14349.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03618, over 195.00 utterances.], tot_loss[loss=0.3536, simple_loss=0.3995, pruned_loss=0.1539, over 2776837.45 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07449, over 47437.36 utterances.], batch size: 195, lr: 7.70e-04
+2022-09-17 11:05:23,037 INFO [train.py:885] (1/2) Epoch 5, batch 12500, loss[loss=0.213, simple_loss=0.277, pruned_loss=0.07448, over 13306.00 frames. utt_duration=1066 frames, utt_pad_proportion=0.09758, over 50.00 utterances.], tot_loss[loss=0.3549, simple_loss=0.4008, pruned_loss=0.1545, over 2778209.25 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07352, over 47852.27 utterances.], batch size: 50, lr: 7.70e-04
+2022-09-17 11:05:52,876 INFO [train.py:885] (1/2) Epoch 5, batch 12550, loss[loss=0.5004, simple_loss=0.5602, pruned_loss=0.2204, over 13117.00 frames. utt_duration=81.84 frames, utt_pad_proportion=0.1104, over 653.00 utterances.], tot_loss[loss=0.3527, simple_loss=0.3989, pruned_loss=0.1533, over 2777952.21 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07321, over 47168.38 utterances.], batch size: 653, lr: 7.70e-04
+2022-09-17 11:06:20,330 INFO [train.py:885] (1/2) Epoch 5, batch 12600, loss[loss=0.3521, simple_loss=0.4039, pruned_loss=0.1502, over 14380.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03207, over 244.00 utterances.], tot_loss[loss=0.3506, simple_loss=0.3977, pruned_loss=0.1517, over 2782378.95 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07264, over 46437.87 utterances.], batch size: 244, lr: 7.69e-04
+2022-09-17 11:06:38,702 INFO [train.py:885] (1/2) Epoch 6, batch 0, loss[loss=0.364, simple_loss=0.409, pruned_loss=0.1596, over 14325.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0383, over 283.00 utterances.], tot_loss[loss=0.364, simple_loss=0.409, pruned_loss=0.1596, over 14325.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0383, over 283.00 utterances.], batch size: 283, lr: 7.39e-04
+2022-09-17 11:07:08,633 INFO [train.py:885] (1/2) Epoch 6, batch 50, loss[loss=0.2415, simple_loss=0.2884, pruned_loss=0.09733, over 13563.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08545, over 50.00 utterances.], tot_loss[loss=0.334, simple_loss=0.3818, pruned_loss=0.1431, over 630453.14 frames. utt_duration=291 frames, utt_pad_proportion=0.06199, over 8709.28 utterances.], batch size: 50, lr: 7.39e-04
+2022-09-17 11:07:37,779 INFO [train.py:885] (1/2) Epoch 6, batch 100, loss[loss=0.3525, simple_loss=0.4109, pruned_loss=0.1471, over 14309.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.0393, over 283.00 utterances.], tot_loss[loss=0.3284, simple_loss=0.3771, pruned_loss=0.1399, over 1105041.48 frames. utt_duration=275 frames, utt_pad_proportion=0.06404, over 16156.82 utterances.], batch size: 283, lr: 7.38e-04
+2022-09-17 11:08:07,170 INFO [train.py:885] (1/2) Epoch 6, batch 150, loss[loss=0.3212, simple_loss=0.3817, pruned_loss=0.1304, over 14329.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03775, over 195.00 utterances.], tot_loss[loss=0.339, simple_loss=0.388, pruned_loss=0.145, over 1479806.08 frames. utt_duration=260.3 frames, utt_pad_proportion=0.06665, over 22871.28 utterances.], batch size: 195, lr: 7.38e-04
+2022-09-17 11:08:37,223 INFO [train.py:885] (1/2) Epoch 6, batch 200, loss[loss=0.2497, simple_loss=0.3135, pruned_loss=0.09295, over 14234.00 frames. utt_duration=641 frames, utt_pad_proportion=0.04466, over 89.00 utterances.], tot_loss[loss=0.3427, simple_loss=0.3908, pruned_loss=0.1473, over 1771377.58 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06832, over 27827.47 utterances.], batch size: 89, lr: 7.38e-04
+2022-09-17 11:09:06,798 INFO [train.py:885] (1/2) Epoch 6, batch 250, loss[loss=0.3419, simple_loss=0.3996, pruned_loss=0.1421, over 14353.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03583, over 195.00 utterances.], tot_loss[loss=0.3398, simple_loss=0.3892, pruned_loss=0.1452, over 1991085.23 frames. utt_duration=246.7 frames, utt_pad_proportion=0.06964, over 32479.29 utterances.], batch size: 195, lr: 7.38e-04
+2022-09-17 11:09:35,923 INFO [train.py:885] (1/2) Epoch 6, batch 300, loss[loss=0.3664, simple_loss=0.4109, pruned_loss=0.161, over 14314.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04035, over 154.00 utterances.], tot_loss[loss=0.3434, simple_loss=0.3923, pruned_loss=0.1472, over 2168710.02 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06913, over 35705.38 utterances.], batch size: 154, lr: 7.37e-04
+2022-09-17 11:10:05,705 INFO [train.py:885] (1/2) Epoch 6, batch 350, loss[loss=0.2712, simple_loss=0.3293, pruned_loss=0.1066, over 14133.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.04906, over 98.00 utterances.], tot_loss[loss=0.3469, simple_loss=0.3955, pruned_loss=0.1491, over 2302968.10 frames. utt_duration=237 frames, utt_pad_proportion=0.07217, over 39117.04 utterances.], batch size: 98, lr: 7.37e-04
+2022-09-17 11:10:35,538 INFO [train.py:885] (1/2) Epoch 6, batch 400, loss[loss=0.2081, simple_loss=0.2604, pruned_loss=0.07788, over 13503.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08655, over 50.00 utterances.], tot_loss[loss=0.3429, simple_loss=0.3921, pruned_loss=0.1468, over 2412169.75 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06911, over 39717.02 utterances.], batch size: 50, lr: 7.37e-04
+2022-09-17 11:11:04,883 INFO [train.py:885] (1/2) Epoch 6, batch 450, loss[loss=0.4246, simple_loss=0.4784, pruned_loss=0.1854, over 13784.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07083, over 411.00 utterances.], tot_loss[loss=0.3424, simple_loss=0.3904, pruned_loss=0.1472, over 2494098.78 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06789, over 39445.82 utterances.], batch size: 411, lr: 7.36e-04
+2022-09-17 11:11:33,975 INFO [train.py:885] (1/2) Epoch 6, batch 500, loss[loss=0.4482, simple_loss=0.4571, pruned_loss=0.2196, over 14314.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03944, over 283.00 utterances.], tot_loss[loss=0.3431, simple_loss=0.3908, pruned_loss=0.1477, over 2563214.48 frames. utt_duration=258.7 frames, utt_pad_proportion=0.06462, over 39862.49 utterances.], batch size: 283, lr: 7.36e-04
+2022-09-17 11:12:04,213 INFO [train.py:885] (1/2) Epoch 6, batch 550, loss[loss=0.3879, simple_loss=0.4036, pruned_loss=0.1861, over 14309.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03949, over 120.00 utterances.], tot_loss[loss=0.3483, simple_loss=0.3954, pruned_loss=0.1506, over 2611392.81 frames. utt_duration=249 frames, utt_pad_proportion=0.06821, over 42203.39 utterances.], batch size: 120, lr: 7.36e-04
+2022-09-17 11:12:33,265 INFO [train.py:885] (1/2) Epoch 6, batch 600, loss[loss=0.4344, simple_loss=0.463, pruned_loss=0.2029, over 14333.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03809, over 283.00 utterances.], tot_loss[loss=0.3482, simple_loss=0.3956, pruned_loss=0.1503, over 2646312.49 frames. utt_duration=245.5 frames, utt_pad_proportion=0.0695, over 43368.66 utterances.], batch size: 283, lr: 7.36e-04
+2022-09-17 11:13:02,620 INFO [train.py:885] (1/2) Epoch 6, batch 650, loss[loss=0.4008, simple_loss=0.4372, pruned_loss=0.1822, over 14207.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04393, over 306.00 utterances.], tot_loss[loss=0.3492, simple_loss=0.3967, pruned_loss=0.1508, over 2673002.58 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07188, over 44723.07 utterances.], batch size: 306, lr: 7.35e-04
+2022-09-17 11:13:32,010 INFO [train.py:885] (1/2) Epoch 6, batch 700, loss[loss=0.3766, simple_loss=0.3952, pruned_loss=0.179, over 14275.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.03994, over 130.00 utterances.], tot_loss[loss=0.345, simple_loss=0.3916, pruned_loss=0.1492, over 2694479.13 frames. utt_duration=253.3 frames, utt_pad_proportion=0.0696, over 42791.44 utterances.], batch size: 130, lr: 7.35e-04
+2022-09-17 11:14:01,164 INFO [train.py:885] (1/2) Epoch 6, batch 750, loss[loss=0.3378, simple_loss=0.3866, pruned_loss=0.1445, over 14315.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04132, over 167.00 utterances.], tot_loss[loss=0.3369, simple_loss=0.3844, pruned_loss=0.1447, over 2715971.11 frames. utt_duration=269.5 frames, utt_pad_proportion=0.06682, over 40535.43 utterances.], batch size: 167, lr: 7.35e-04
+2022-09-17 11:14:31,324 INFO [train.py:885] (1/2) Epoch 6, batch 800, loss[loss=0.4001, simple_loss=0.4302, pruned_loss=0.1851, over 14333.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03694, over 210.00 utterances.], tot_loss[loss=0.3423, simple_loss=0.3892, pruned_loss=0.1477, over 2723512.27 frames. utt_duration=253 frames, utt_pad_proportion=0.07322, over 43315.83 utterances.], batch size: 210, lr: 7.34e-04
+2022-09-17 11:15:00,881 INFO [train.py:885] (1/2) Epoch 6, batch 850, loss[loss=0.3021, simple_loss=0.3626, pruned_loss=0.1208, over 14266.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.04059, over 130.00 utterances.], tot_loss[loss=0.3437, simple_loss=0.391, pruned_loss=0.1482, over 2737202.81 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07228, over 44479.10 utterances.], batch size: 130, lr: 7.34e-04
+2022-09-17 11:15:30,447 INFO [train.py:885] (1/2) Epoch 6, batch 900, loss[loss=0.2037, simple_loss=0.2646, pruned_loss=0.07142, over 13832.00 frames. utt_duration=923.8 frames, utt_pad_proportion=0.06403, over 60.00 utterances.], tot_loss[loss=0.3465, simple_loss=0.3941, pruned_loss=0.1494, over 2743319.04 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07338, over 46234.29 utterances.], batch size: 60, lr: 7.34e-04
+2022-09-17 11:16:00,708 INFO [train.py:885] (1/2) Epoch 6, batch 950, loss[loss=0.2001, simple_loss=0.247, pruned_loss=0.07659, over 13062.00 frames. utt_duration=1585 frames, utt_pad_proportion=0.1077, over 33.00 utterances.], tot_loss[loss=0.3441, simple_loss=0.3922, pruned_loss=0.148, over 2750091.32 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07234, over 45432.68 utterances.], batch size: 33, lr: 7.34e-04
+2022-09-17 11:16:30,188 INFO [train.py:885] (1/2) Epoch 6, batch 1000, loss[loss=0.4777, simple_loss=0.4832, pruned_loss=0.2361, over 14149.00 frames. utt_duration=186.6 frames, utt_pad_proportion=0.04799, over 306.00 utterances.], tot_loss[loss=0.3436, simple_loss=0.3912, pruned_loss=0.1479, over 2758174.88 frames. utt_duration=248 frames, utt_pad_proportion=0.07194, over 44758.43 utterances.], batch size: 306, lr: 7.33e-04
+2022-09-17 11:16:59,686 INFO [train.py:885] (1/2) Epoch 6, batch 1050, loss[loss=0.5527, simple_loss=0.6148, pruned_loss=0.2453, over 12447.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1477, over 810.00 utterances.], tot_loss[loss=0.3424, simple_loss=0.3913, pruned_loss=0.1468, over 2761239.93 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07245, over 45458.55 utterances.], batch size: 810, lr: 7.33e-04
+2022-09-17 11:17:29,182 INFO [train.py:885] (1/2) Epoch 6, batch 1100, loss[loss=0.2784, simple_loss=0.3238, pruned_loss=0.1165, over 13883.00 frames. utt_duration=806.5 frames, utt_pad_proportion=0.06108, over 69.00 utterances.], tot_loss[loss=0.3443, simple_loss=0.3927, pruned_loss=0.148, over 2767479.32 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07192, over 45428.78 utterances.], batch size: 69, lr: 7.33e-04
+2022-09-17 11:17:58,260 INFO [train.py:885] (1/2) Epoch 6, batch 1150, loss[loss=0.2174, simple_loss=0.2914, pruned_loss=0.07165, over 13983.00 frames. utt_duration=709.4 frames, utt_pad_proportion=0.05659, over 79.00 utterances.], tot_loss[loss=0.3444, simple_loss=0.3935, pruned_loss=0.1477, over 2775820.12 frames. utt_duration=244.6 frames, utt_pad_proportion=0.0704, over 45666.73 utterances.], batch size: 79, lr: 7.32e-04
+2022-09-17 11:18:28,025 INFO [train.py:885] (1/2) Epoch 6, batch 1200, loss[loss=0.4593, simple_loss=0.4779, pruned_loss=0.2204, over 14284.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.03998, over 180.00 utterances.], tot_loss[loss=0.3449, simple_loss=0.3933, pruned_loss=0.1483, over 2777154.93 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07144, over 45682.54 utterances.], batch size: 180, lr: 7.32e-04
+2022-09-17 11:18:57,665 INFO [train.py:885] (1/2) Epoch 6, batch 1250, loss[loss=0.6415, simple_loss=0.6694, pruned_loss=0.3068, over 12486.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.1459, over 810.00 utterances.], tot_loss[loss=0.3458, simple_loss=0.3943, pruned_loss=0.1487, over 2776998.82 frames. utt_duration=244 frames, utt_pad_proportion=0.07287, over 45807.02 utterances.], batch size: 810, lr: 7.32e-04
+2022-09-17 11:19:27,299 INFO [train.py:885] (1/2) Epoch 6, batch 1300, loss[loss=0.4682, simple_loss=0.5144, pruned_loss=0.211, over 13621.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08136, over 477.00 utterances.], tot_loss[loss=0.3505, simple_loss=0.399, pruned_loss=0.151, over 2778667.13 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07346, over 47682.85 utterances.], batch size: 477, lr: 7.32e-04
+2022-09-17 11:19:56,874 INFO [train.py:885] (1/2) Epoch 6, batch 1350, loss[loss=0.4909, simple_loss=0.5523, pruned_loss=0.2147, over 13198.00 frames. utt_duration=82.38 frames, utt_pad_proportion=0.1046, over 653.00 utterances.], tot_loss[loss=0.3495, simple_loss=0.3977, pruned_loss=0.1506, over 2779869.41 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0723, over 46742.65 utterances.], batch size: 653, lr: 7.31e-04
+2022-09-17 11:20:25,977 INFO [train.py:885] (1/2) Epoch 6, batch 1400, loss[loss=0.2333, simple_loss=0.2992, pruned_loss=0.08365, over 14252.00 frames. utt_duration=642 frames, utt_pad_proportion=0.04184, over 89.00 utterances.], tot_loss[loss=0.3458, simple_loss=0.3946, pruned_loss=0.1485, over 2781697.48 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07198, over 46684.92 utterances.], batch size: 89, lr: 7.31e-04
+2022-09-17 11:20:55,521 INFO [train.py:885] (1/2) Epoch 6, batch 1450, loss[loss=0.4324, simple_loss=0.4588, pruned_loss=0.203, over 14213.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04388, over 306.00 utterances.], tot_loss[loss=0.3476, simple_loss=0.3956, pruned_loss=0.1499, over 2779277.92 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07243, over 46469.90 utterances.], batch size: 306, lr: 7.31e-04
+2022-09-17 11:21:25,478 INFO [train.py:885] (1/2) Epoch 6, batch 1500, loss[loss=0.5712, simple_loss=0.5944, pruned_loss=0.274, over 13118.00 frames. utt_duration=81.95 frames, utt_pad_proportion=0.1092, over 653.00 utterances.], tot_loss[loss=0.3514, simple_loss=0.3997, pruned_loss=0.1516, over 2774880.36 frames. utt_duration=225.1 frames, utt_pad_proportion=0.07544, over 49633.71 utterances.], batch size: 653, lr: 7.30e-04
+2022-09-17 11:21:54,493 INFO [train.py:885] (1/2) Epoch 6, batch 1550, loss[loss=0.3062, simple_loss=0.3515, pruned_loss=0.1305, over 14217.00 frames. utt_duration=523.1 frames, utt_pad_proportion=0.04202, over 109.00 utterances.], tot_loss[loss=0.3435, simple_loss=0.3923, pruned_loss=0.1473, over 2775569.83 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07338, over 46875.25 utterances.], batch size: 109, lr: 7.30e-04
+2022-09-17 11:22:23,679 INFO [train.py:885] (1/2) Epoch 6, batch 1600, loss[loss=0.2585, simple_loss=0.3079, pruned_loss=0.1045, over 13894.00 frames. utt_duration=807 frames, utt_pad_proportion=0.0605, over 69.00 utterances.], tot_loss[loss=0.3377, simple_loss=0.3869, pruned_loss=0.1442, over 2776561.10 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07167, over 44651.55 utterances.], batch size: 69, lr: 7.30e-04
+2022-09-17 11:22:53,268 INFO [train.py:885] (1/2) Epoch 6, batch 1650, loss[loss=0.2534, simple_loss=0.3094, pruned_loss=0.0987, over 14039.00 frames. utt_duration=712.5 frames, utt_pad_proportion=0.05635, over 79.00 utterances.], tot_loss[loss=0.3425, simple_loss=0.3911, pruned_loss=0.147, over 2779573.16 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07237, over 45952.68 utterances.], batch size: 79, lr: 7.30e-04
+2022-09-17 11:23:23,016 INFO [train.py:885] (1/2) Epoch 6, batch 1700, loss[loss=0.4802, simple_loss=0.4891, pruned_loss=0.2356, over 14300.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03975, over 283.00 utterances.], tot_loss[loss=0.3476, simple_loss=0.3959, pruned_loss=0.1496, over 2779853.77 frames. utt_duration=234 frames, utt_pad_proportion=0.07341, over 47818.68 utterances.], batch size: 283, lr: 7.29e-04
+2022-09-17 11:23:52,137 INFO [train.py:885] (1/2) Epoch 6, batch 1750, loss[loss=0.2807, simple_loss=0.3126, pruned_loss=0.1244, over 13342.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08793, over 41.00 utterances.], tot_loss[loss=0.344, simple_loss=0.3919, pruned_loss=0.148, over 2777289.76 frames. utt_duration=243 frames, utt_pad_proportion=0.07345, over 46003.13 utterances.], batch size: 41, lr: 7.29e-04
+2022-09-17 11:24:22,107 INFO [train.py:885] (1/2) Epoch 6, batch 1800, loss[loss=0.2419, simple_loss=0.3003, pruned_loss=0.0918, over 13066.00 frames. utt_duration=2011 frames, utt_pad_proportion=0.1096, over 26.00 utterances.], tot_loss[loss=0.3424, simple_loss=0.3908, pruned_loss=0.147, over 2771289.46 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07483, over 46205.25 utterances.], batch size: 26, lr: 7.29e-04
+2022-09-17 11:24:51,857 INFO [train.py:885] (1/2) Epoch 6, batch 1850, loss[loss=0.4131, simple_loss=0.4438, pruned_loss=0.1912, over 14323.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03915, over 262.00 utterances.], tot_loss[loss=0.3456, simple_loss=0.3942, pruned_loss=0.1485, over 2776322.02 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07269, over 47507.79 utterances.], batch size: 262, lr: 7.28e-04
+2022-09-17 11:25:21,006 INFO [train.py:885] (1/2) Epoch 6, batch 1900, loss[loss=0.3129, simple_loss=0.3741, pruned_loss=0.1258, over 14409.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.03258, over 155.00 utterances.], tot_loss[loss=0.3464, simple_loss=0.3952, pruned_loss=0.1488, over 2776114.45 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07331, over 48055.99 utterances.], batch size: 155, lr: 7.28e-04
+2022-09-17 11:25:50,680 INFO [train.py:885] (1/2) Epoch 6, batch 1950, loss[loss=0.1801, simple_loss=0.2168, pruned_loss=0.07173, over 12253.00 frames. utt_duration=2044 frames, utt_pad_proportion=0.1658, over 24.00 utterances.], tot_loss[loss=0.3465, simple_loss=0.3945, pruned_loss=0.1493, over 2773944.84 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07349, over 47579.83 utterances.], batch size: 24, lr: 7.28e-04
+2022-09-17 11:26:19,642 INFO [train.py:885] (1/2) Epoch 6, batch 2000, loss[loss=0.326, simple_loss=0.4102, pruned_loss=0.1209, over 13755.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07174, over 411.00 utterances.], tot_loss[loss=0.3465, simple_loss=0.3943, pruned_loss=0.1493, over 2777305.95 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07236, over 46675.69 utterances.], batch size: 411, lr: 7.28e-04
+2022-09-17 11:26:49,168 INFO [train.py:885] (1/2) Epoch 6, batch 2050, loss[loss=0.3679, simple_loss=0.4193, pruned_loss=0.1582, over 14345.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03666, over 210.00 utterances.], tot_loss[loss=0.3464, simple_loss=0.3942, pruned_loss=0.1493, over 2777223.75 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07261, over 47327.01 utterances.], batch size: 210, lr: 7.27e-04
+2022-09-17 11:27:18,285 INFO [train.py:885] (1/2) Epoch 6, batch 2100, loss[loss=0.2059, simple_loss=0.2406, pruned_loss=0.0856, over 12199.00 frames. utt_duration=2034 frames, utt_pad_proportion=0.1776, over 24.00 utterances.], tot_loss[loss=0.3402, simple_loss=0.3884, pruned_loss=0.146, over 2777234.60 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06969, over 45095.17 utterances.], batch size: 24, lr: 7.27e-04
+2022-09-17 11:27:47,978 INFO [train.py:885] (1/2) Epoch 6, batch 2150, loss[loss=0.4684, simple_loss=0.4779, pruned_loss=0.2295, over 14217.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0437, over 306.00 utterances.], tot_loss[loss=0.3422, simple_loss=0.3907, pruned_loss=0.1468, over 2779489.12 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06996, over 45903.17 utterances.], batch size: 306, lr: 7.27e-04
+2022-09-17 11:28:23,867 INFO [train.py:885] (1/2) Epoch 6, batch 2200, loss[loss=0.2784, simple_loss=0.3289, pruned_loss=0.114, over 13874.00 frames. utt_duration=805.8 frames, utt_pad_proportion=0.06195, over 69.00 utterances.], tot_loss[loss=0.3387, simple_loss=0.3875, pruned_loss=0.145, over 2780401.36 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06974, over 44426.74 utterances.], batch size: 69, lr: 7.27e-04
+2022-09-17 11:28:53,910 INFO [train.py:885] (1/2) Epoch 6, batch 2250, loss[loss=0.2476, simple_loss=0.2839, pruned_loss=0.1057, over 13532.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08896, over 50.00 utterances.], tot_loss[loss=0.3427, simple_loss=0.3907, pruned_loss=0.1474, over 2770766.59 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07406, over 46421.66 utterances.], batch size: 50, lr: 7.26e-04
+2022-09-17 11:29:22,872 INFO [train.py:885] (1/2) Epoch 6, batch 2300, loss[loss=0.301, simple_loss=0.3543, pruned_loss=0.1238, over 14329.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03995, over 120.00 utterances.], tot_loss[loss=0.3403, simple_loss=0.3878, pruned_loss=0.1464, over 2777073.42 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07147, over 44758.79 utterances.], batch size: 120, lr: 7.26e-04
+2022-09-17 11:29:53,183 INFO [train.py:885] (1/2) Epoch 6, batch 2350, loss[loss=0.3038, simple_loss=0.3608, pruned_loss=0.1234, over 14115.00 frames. utt_duration=577.5 frames, utt_pad_proportion=0.05169, over 98.00 utterances.], tot_loss[loss=0.3395, simple_loss=0.3872, pruned_loss=0.1459, over 2777201.55 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07162, over 44368.61 utterances.], batch size: 98, lr: 7.26e-04
+2022-09-17 11:30:22,355 INFO [train.py:885] (1/2) Epoch 6, batch 2400, loss[loss=0.2888, simple_loss=0.3488, pruned_loss=0.1143, over 14224.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04734, over 141.00 utterances.], tot_loss[loss=0.3399, simple_loss=0.3885, pruned_loss=0.1456, over 2778396.88 frames. utt_duration=247.4 frames, utt_pad_proportion=0.071, over 45190.71 utterances.], batch size: 141, lr: 7.25e-04
+2022-09-17 11:30:51,638 INFO [train.py:885] (1/2) Epoch 6, batch 2450, loss[loss=0.3174, simple_loss=0.3596, pruned_loss=0.1376, over 14299.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03983, over 120.00 utterances.], tot_loss[loss=0.3417, simple_loss=0.3904, pruned_loss=0.1465, over 2784589.35 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06891, over 45501.05 utterances.], batch size: 120, lr: 7.25e-04
+2022-09-17 11:31:21,616 INFO [train.py:885] (1/2) Epoch 6, batch 2500, loss[loss=0.3218, simple_loss=0.3804, pruned_loss=0.1316, over 14288.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03968, over 180.00 utterances.], tot_loss[loss=0.3421, simple_loss=0.3912, pruned_loss=0.1465, over 2779411.37 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07093, over 45939.02 utterances.], batch size: 180, lr: 7.25e-04
+2022-09-17 11:31:51,474 INFO [train.py:885] (1/2) Epoch 6, batch 2550, loss[loss=0.403, simple_loss=0.4664, pruned_loss=0.1698, over 13663.00 frames. utt_duration=116 frames, utt_pad_proportion=0.079, over 477.00 utterances.], tot_loss[loss=0.3498, simple_loss=0.3984, pruned_loss=0.1506, over 2779082.53 frames. utt_duration=230 frames, utt_pad_proportion=0.07236, over 48633.99 utterances.], batch size: 477, lr: 7.25e-04
+2022-09-17 11:32:20,753 INFO [train.py:885] (1/2) Epoch 6, batch 2600, loss[loss=0.2575, simple_loss=0.3123, pruned_loss=0.1014, over 14143.00 frames. utt_duration=637.2 frames, utt_pad_proportion=0.0504, over 89.00 utterances.], tot_loss[loss=0.349, simple_loss=0.3972, pruned_loss=0.1504, over 2778902.56 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07269, over 48064.09 utterances.], batch size: 89, lr: 7.24e-04
+2022-09-17 11:32:49,581 INFO [train.py:885] (1/2) Epoch 6, batch 2650, loss[loss=0.2212, simple_loss=0.2915, pruned_loss=0.07548, over 12780.00 frames. utt_duration=2046 frames, utt_pad_proportion=0.1206, over 25.00 utterances.], tot_loss[loss=0.3469, simple_loss=0.3946, pruned_loss=0.1496, over 2781947.30 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07022, over 46357.38 utterances.], batch size: 25, lr: 7.24e-04
+2022-09-17 11:33:19,477 INFO [train.py:885] (1/2) Epoch 6, batch 2700, loss[loss=0.2547, simple_loss=0.3227, pruned_loss=0.0933, over 14192.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.0435, over 109.00 utterances.], tot_loss[loss=0.3479, simple_loss=0.3958, pruned_loss=0.15, over 2781021.95 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07168, over 46927.81 utterances.], batch size: 109, lr: 7.24e-04
+2022-09-17 11:33:48,900 INFO [train.py:885] (1/2) Epoch 6, batch 2750, loss[loss=0.3367, simple_loss=0.3953, pruned_loss=0.139, over 14268.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.03839, over 154.00 utterances.], tot_loss[loss=0.3465, simple_loss=0.3953, pruned_loss=0.1488, over 2781828.41 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07129, over 47416.86 utterances.], batch size: 154, lr: 7.24e-04
+2022-09-17 11:34:18,488 INFO [train.py:885] (1/2) Epoch 6, batch 2800, loss[loss=0.2532, simple_loss=0.3063, pruned_loss=0.1, over 14017.00 frames. utt_duration=711.3 frames, utt_pad_proportion=0.05916, over 79.00 utterances.], tot_loss[loss=0.3415, simple_loss=0.3904, pruned_loss=0.1462, over 2777974.18 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07307, over 46042.20 utterances.], batch size: 79, lr: 7.23e-04
+2022-09-17 11:34:48,355 INFO [train.py:885] (1/2) Epoch 6, batch 2850, loss[loss=0.2011, simple_loss=0.258, pruned_loss=0.07207, over 13665.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.08094, over 50.00 utterances.], tot_loss[loss=0.341, simple_loss=0.3905, pruned_loss=0.1457, over 2773643.34 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07507, over 46467.89 utterances.], batch size: 50, lr: 7.23e-04
+2022-09-17 11:35:17,658 INFO [train.py:885] (1/2) Epoch 6, batch 2900, loss[loss=0.3164, simple_loss=0.3735, pruned_loss=0.1297, over 14267.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.04077, over 154.00 utterances.], tot_loss[loss=0.3414, simple_loss=0.3907, pruned_loss=0.1461, over 2773286.25 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07398, over 46619.91 utterances.], batch size: 154, lr: 7.23e-04
+2022-09-17 11:35:47,002 INFO [train.py:885] (1/2) Epoch 6, batch 2950, loss[loss=0.5135, simple_loss=0.5106, pruned_loss=0.2582, over 14236.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04313, over 335.00 utterances.], tot_loss[loss=0.3434, simple_loss=0.3924, pruned_loss=0.1472, over 2776844.47 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07263, over 46913.41 utterances.], batch size: 335, lr: 7.22e-04
+2022-09-17 11:36:16,832 INFO [train.py:885] (1/2) Epoch 6, batch 3000, loss[loss=0.921, simple_loss=0.8513, pruned_loss=0.4953, over 12446.00 frames. utt_duration=62.91 frames, utt_pad_proportion=0.1498, over 811.00 utterances.], tot_loss[loss=0.3455, simple_loss=0.3938, pruned_loss=0.1486, over 2779801.11 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07223, over 46767.82 utterances.], batch size: 811, lr: 7.22e-04
+2022-09-17 11:36:16,833 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 11:36:20,997 INFO [train.py:914] (1/2) Epoch 6, validation: loss=0.2209, simple_loss=0.2949, pruned_loss=0.07349, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 11:36:51,380 INFO [train.py:885] (1/2) Epoch 6, batch 3050, loss[loss=0.3642, simple_loss=0.4102, pruned_loss=0.1591, over 14356.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03327, over 244.00 utterances.], tot_loss[loss=0.344, simple_loss=0.392, pruned_loss=0.148, over 2773720.75 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07425, over 45845.43 utterances.], batch size: 244, lr: 7.22e-04
+2022-09-17 11:37:21,003 INFO [train.py:885] (1/2) Epoch 6, batch 3100, loss[loss=0.4995, simple_loss=0.5037, pruned_loss=0.2477, over 14266.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04124, over 335.00 utterances.], tot_loss[loss=0.3439, simple_loss=0.3916, pruned_loss=0.1481, over 2774210.39 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07235, over 45503.78 utterances.], batch size: 335, lr: 7.22e-04
+2022-09-17 11:37:50,271 INFO [train.py:885] (1/2) Epoch 6, batch 3150, loss[loss=0.5232, simple_loss=0.5152, pruned_loss=0.2656, over 14258.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04179, over 335.00 utterances.], tot_loss[loss=0.3437, simple_loss=0.3914, pruned_loss=0.148, over 2776791.09 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07212, over 45359.68 utterances.], batch size: 335, lr: 7.21e-04
+2022-09-17 11:38:19,777 INFO [train.py:885] (1/2) Epoch 6, batch 3200, loss[loss=0.2729, simple_loss=0.3296, pruned_loss=0.1082, over 14204.00 frames. utt_duration=523 frames, utt_pad_proportion=0.04216, over 109.00 utterances.], tot_loss[loss=0.3449, simple_loss=0.3927, pruned_loss=0.1485, over 2780897.82 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07128, over 45571.42 utterances.], batch size: 109, lr: 7.21e-04
+2022-09-17 11:38:48,907 INFO [train.py:885] (1/2) Epoch 6, batch 3250, loss[loss=0.2312, simple_loss=0.2946, pruned_loss=0.08386, over 13839.00 frames. utt_duration=803.8 frames, utt_pad_proportion=0.06425, over 69.00 utterances.], tot_loss[loss=0.3436, simple_loss=0.3929, pruned_loss=0.1471, over 2780325.86 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07195, over 46224.36 utterances.], batch size: 69, lr: 7.21e-04
+2022-09-17 11:39:18,473 INFO [train.py:885] (1/2) Epoch 6, batch 3300, loss[loss=0.3443, simple_loss=0.4259, pruned_loss=0.1314, over 13772.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07168, over 411.00 utterances.], tot_loss[loss=0.3424, simple_loss=0.3922, pruned_loss=0.1463, over 2780869.61 frames. utt_duration=242 frames, utt_pad_proportion=0.07032, over 46241.96 utterances.], batch size: 411, lr: 7.21e-04
+2022-09-17 11:39:47,804 INFO [train.py:885] (1/2) Epoch 6, batch 3350, loss[loss=0.3742, simple_loss=0.4202, pruned_loss=0.1641, over 14224.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04308, over 306.00 utterances.], tot_loss[loss=0.3405, simple_loss=0.3904, pruned_loss=0.1453, over 2778817.82 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07127, over 45922.36 utterances.], batch size: 306, lr: 7.20e-04
+2022-09-17 11:40:26,735 INFO [train.py:885] (1/2) Epoch 6, batch 3400, loss[loss=0.6065, simple_loss=0.6526, pruned_loss=0.2802, over 12581.00 frames. utt_duration=63.64 frames, utt_pad_proportion=0.1401, over 810.00 utterances.], tot_loss[loss=0.3417, simple_loss=0.3911, pruned_loss=0.1462, over 2780186.93 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07186, over 46066.87 utterances.], batch size: 810, lr: 7.20e-04
+2022-09-17 11:40:55,945 INFO [train.py:885] (1/2) Epoch 6, batch 3450, loss[loss=0.3151, simple_loss=0.3814, pruned_loss=0.1244, over 14269.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04132, over 225.00 utterances.], tot_loss[loss=0.3398, simple_loss=0.3893, pruned_loss=0.1452, over 2784472.18 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06949, over 45446.57 utterances.], batch size: 225, lr: 7.20e-04
+2022-09-17 11:41:25,641 INFO [train.py:885] (1/2) Epoch 6, batch 3500, loss[loss=0.3695, simple_loss=0.4142, pruned_loss=0.1624, over 14362.00 frames. utt_duration=320.7 frames, utt_pad_proportion=0.03414, over 180.00 utterances.], tot_loss[loss=0.3427, simple_loss=0.3918, pruned_loss=0.1468, over 2782975.92 frames. utt_duration=244 frames, utt_pad_proportion=0.06959, over 45908.31 utterances.], batch size: 180, lr: 7.19e-04
+2022-09-17 11:41:55,111 INFO [train.py:885] (1/2) Epoch 6, batch 3550, loss[loss=0.2859, simple_loss=0.3536, pruned_loss=0.1091, over 14248.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04184, over 225.00 utterances.], tot_loss[loss=0.3378, simple_loss=0.3872, pruned_loss=0.1442, over 2779027.51 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07005, over 44611.56 utterances.], batch size: 225, lr: 7.19e-04
+2022-09-17 11:42:24,705 INFO [train.py:885] (1/2) Epoch 6, batch 3600, loss[loss=0.3588, simple_loss=0.4077, pruned_loss=0.1549, over 14303.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03975, over 262.00 utterances.], tot_loss[loss=0.3351, simple_loss=0.3845, pruned_loss=0.1428, over 2780183.25 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06913, over 43654.85 utterances.], batch size: 262, lr: 7.19e-04
+2022-09-17 11:42:53,876 INFO [train.py:885] (1/2) Epoch 6, batch 3650, loss[loss=0.2962, simple_loss=0.3174, pruned_loss=0.1375, over 13590.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08589, over 50.00 utterances.], tot_loss[loss=0.3333, simple_loss=0.3826, pruned_loss=0.142, over 2783580.42 frames. utt_duration=262 frames, utt_pad_proportion=0.06729, over 42738.76 utterances.], batch size: 50, lr: 7.19e-04
+2022-09-17 11:43:24,349 INFO [train.py:885] (1/2) Epoch 6, batch 3700, loss[loss=0.5304, simple_loss=0.5743, pruned_loss=0.2432, over 13109.00 frames. utt_duration=81.83 frames, utt_pad_proportion=0.1105, over 653.00 utterances.], tot_loss[loss=0.3323, simple_loss=0.3821, pruned_loss=0.1412, over 2780133.91 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06962, over 43257.47 utterances.], batch size: 653, lr: 7.18e-04
+2022-09-17 11:43:53,551 INFO [train.py:885] (1/2) Epoch 6, batch 3750, loss[loss=0.3404, simple_loss=0.3947, pruned_loss=0.143, over 14296.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03887, over 180.00 utterances.], tot_loss[loss=0.3316, simple_loss=0.3818, pruned_loss=0.1407, over 2783420.53 frames. utt_duration=261.4 frames, utt_pad_proportion=0.06774, over 42834.37 utterances.], batch size: 180, lr: 7.18e-04
+2022-09-17 11:44:23,402 INFO [train.py:885] (1/2) Epoch 6, batch 3800, loss[loss=0.4139, simple_loss=0.4479, pruned_loss=0.1899, over 14306.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03902, over 283.00 utterances.], tot_loss[loss=0.3333, simple_loss=0.384, pruned_loss=0.1413, over 2784716.48 frames. utt_duration=254 frames, utt_pad_proportion=0.06763, over 44113.83 utterances.], batch size: 283, lr: 7.18e-04
+2022-09-17 11:44:52,764 INFO [train.py:885] (1/2) Epoch 6, batch 3850, loss[loss=0.3867, simple_loss=0.4215, pruned_loss=0.1759, over 14348.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03712, over 262.00 utterances.], tot_loss[loss=0.3325, simple_loss=0.3818, pruned_loss=0.1416, over 2782084.93 frames. utt_duration=260.8 frames, utt_pad_proportion=0.06894, over 42905.59 utterances.], batch size: 262, lr: 7.18e-04
+2022-09-17 11:45:22,443 INFO [train.py:885] (1/2) Epoch 6, batch 3900, loss[loss=0.2742, simple_loss=0.3233, pruned_loss=0.1126, over 14095.00 frames. utt_duration=576.8 frames, utt_pad_proportion=0.05131, over 98.00 utterances.], tot_loss[loss=0.3305, simple_loss=0.3802, pruned_loss=0.1404, over 2782284.09 frames. utt_duration=264.8 frames, utt_pad_proportion=0.06844, over 42260.75 utterances.], batch size: 98, lr: 7.17e-04
+2022-09-17 11:45:51,760 INFO [train.py:885] (1/2) Epoch 6, batch 3950, loss[loss=0.3836, simple_loss=0.4276, pruned_loss=0.1697, over 14310.00 frames. utt_duration=295 frames, utt_pad_proportion=0.0391, over 195.00 utterances.], tot_loss[loss=0.3338, simple_loss=0.3821, pruned_loss=0.1427, over 2785668.53 frames. utt_duration=268.2 frames, utt_pad_proportion=0.06586, over 41770.05 utterances.], batch size: 195, lr: 7.17e-04
+2022-09-17 11:46:21,666 INFO [train.py:885] (1/2) Epoch 6, batch 4000, loss[loss=0.4976, simple_loss=0.5042, pruned_loss=0.2455, over 14224.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04277, over 306.00 utterances.], tot_loss[loss=0.3393, simple_loss=0.388, pruned_loss=0.1453, over 2783356.38 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06928, over 44521.60 utterances.], batch size: 306, lr: 7.17e-04
+2022-09-17 11:46:51,001 INFO [train.py:885] (1/2) Epoch 6, batch 4050, loss[loss=0.192, simple_loss=0.2441, pruned_loss=0.06999, over 13405.00 frames. utt_duration=1074 frames, utt_pad_proportion=0.0976, over 50.00 utterances.], tot_loss[loss=0.3375, simple_loss=0.3862, pruned_loss=0.1444, over 2784482.94 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06845, over 44016.22 utterances.], batch size: 50, lr: 7.17e-04
+2022-09-17 11:47:20,331 INFO [train.py:885] (1/2) Epoch 6, batch 4100, loss[loss=0.2601, simple_loss=0.3031, pruned_loss=0.1085, over 13081.00 frames. utt_duration=1587 frames, utt_pad_proportion=0.1207, over 33.00 utterances.], tot_loss[loss=0.3412, simple_loss=0.3904, pruned_loss=0.146, over 2784923.47 frames. utt_duration=244.2 frames, utt_pad_proportion=0.06918, over 45892.67 utterances.], batch size: 33, lr: 7.16e-04
+2022-09-17 11:47:49,830 INFO [train.py:885] (1/2) Epoch 6, batch 4150, loss[loss=0.1914, simple_loss=0.2393, pruned_loss=0.07171, over 13112.00 frames. utt_duration=1591 frames, utt_pad_proportion=0.1189, over 33.00 utterances.], tot_loss[loss=0.342, simple_loss=0.3906, pruned_loss=0.1467, over 2785496.19 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06874, over 45309.81 utterances.], batch size: 33, lr: 7.16e-04
+2022-09-17 11:48:19,559 INFO [train.py:885] (1/2) Epoch 6, batch 4200, loss[loss=0.2941, simple_loss=0.3547, pruned_loss=0.1167, over 14289.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.04088, over 120.00 utterances.], tot_loss[loss=0.3464, simple_loss=0.3952, pruned_loss=0.1487, over 2781668.79 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07289, over 46831.47 utterances.], batch size: 120, lr: 7.16e-04
+2022-09-17 11:48:49,274 INFO [train.py:885] (1/2) Epoch 6, batch 4250, loss[loss=0.4577, simple_loss=0.4783, pruned_loss=0.2185, over 14196.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04465, over 306.00 utterances.], tot_loss[loss=0.3458, simple_loss=0.3948, pruned_loss=0.1484, over 2782519.60 frames. utt_duration=239.9 frames, utt_pad_proportion=0.0731, over 46679.81 utterances.], batch size: 306, lr: 7.15e-04
+2022-09-17 11:49:25,199 INFO [train.py:885] (1/2) Epoch 6, batch 4300, loss[loss=0.3973, simple_loss=0.463, pruned_loss=0.1658, over 13773.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07201, over 411.00 utterances.], tot_loss[loss=0.3465, simple_loss=0.3945, pruned_loss=0.1493, over 2782985.91 frames. utt_duration=243 frames, utt_pad_proportion=0.07223, over 46087.08 utterances.], batch size: 411, lr: 7.15e-04
+2022-09-17 11:49:55,131 INFO [train.py:885] (1/2) Epoch 6, batch 4350, loss[loss=0.3505, simple_loss=0.4039, pruned_loss=0.1486, over 14310.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03963, over 262.00 utterances.], tot_loss[loss=0.347, simple_loss=0.3947, pruned_loss=0.1496, over 2780614.32 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07313, over 46221.50 utterances.], batch size: 262, lr: 7.15e-04
+2022-09-17 11:50:24,360 INFO [train.py:885] (1/2) Epoch 6, batch 4400, loss[loss=0.3361, simple_loss=0.3982, pruned_loss=0.137, over 14353.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03582, over 210.00 utterances.], tot_loss[loss=0.3453, simple_loss=0.3941, pruned_loss=0.1483, over 2784559.57 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07198, over 46090.11 utterances.], batch size: 210, lr: 7.15e-04
+2022-09-17 11:50:54,876 INFO [train.py:885] (1/2) Epoch 6, batch 4450, loss[loss=0.2387, simple_loss=0.3021, pruned_loss=0.08761, over 14153.00 frames. utt_duration=579 frames, utt_pad_proportion=0.05084, over 98.00 utterances.], tot_loss[loss=0.3449, simple_loss=0.3934, pruned_loss=0.1482, over 2782914.19 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07068, over 46383.51 utterances.], batch size: 98, lr: 7.14e-04
+2022-09-17 11:51:23,784 INFO [train.py:885] (1/2) Epoch 6, batch 4500, loss[loss=0.3614, simple_loss=0.4346, pruned_loss=0.1441, over 13615.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08218, over 477.00 utterances.], tot_loss[loss=0.3392, simple_loss=0.3886, pruned_loss=0.1449, over 2780554.69 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07171, over 45354.75 utterances.], batch size: 477, lr: 7.14e-04
+2022-09-17 11:51:53,914 INFO [train.py:885] (1/2) Epoch 6, batch 4550, loss[loss=0.6281, simple_loss=0.6651, pruned_loss=0.2955, over 12467.00 frames. utt_duration=63.15 frames, utt_pad_proportion=0.1466, over 810.00 utterances.], tot_loss[loss=0.3418, simple_loss=0.3912, pruned_loss=0.1462, over 2775632.95 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07341, over 46261.11 utterances.], batch size: 810, lr: 7.14e-04
+2022-09-17 11:52:23,574 INFO [train.py:885] (1/2) Epoch 6, batch 4600, loss[loss=0.3493, simple_loss=0.3928, pruned_loss=0.1529, over 14358.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03833, over 167.00 utterances.], tot_loss[loss=0.3436, simple_loss=0.3932, pruned_loss=0.1471, over 2779430.91 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07268, over 46661.61 utterances.], batch size: 167, lr: 7.14e-04
+2022-09-17 11:52:52,892 INFO [train.py:885] (1/2) Epoch 6, batch 4650, loss[loss=0.3297, simple_loss=0.3695, pruned_loss=0.145, over 14303.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.03986, over 120.00 utterances.], tot_loss[loss=0.3422, simple_loss=0.3918, pruned_loss=0.1463, over 2781517.99 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07168, over 46628.97 utterances.], batch size: 120, lr: 7.13e-04
+2022-09-17 11:53:22,514 INFO [train.py:885] (1/2) Epoch 6, batch 4700, loss[loss=0.2901, simple_loss=0.3373, pruned_loss=0.1215, over 14231.00 frames. utt_duration=523.7 frames, utt_pad_proportion=0.0409, over 109.00 utterances.], tot_loss[loss=0.3431, simple_loss=0.3924, pruned_loss=0.1469, over 2782926.84 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07163, over 45978.94 utterances.], batch size: 109, lr: 7.13e-04
+2022-09-17 11:53:51,770 INFO [train.py:885] (1/2) Epoch 6, batch 4750, loss[loss=0.1851, simple_loss=0.2462, pruned_loss=0.06203, over 13635.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.08772, over 42.00 utterances.], tot_loss[loss=0.3458, simple_loss=0.3957, pruned_loss=0.148, over 2778217.92 frames. utt_duration=237 frames, utt_pad_proportion=0.07175, over 47187.48 utterances.], batch size: 42, lr: 7.13e-04
+2022-09-17 11:54:21,334 INFO [train.py:885] (1/2) Epoch 6, batch 4800, loss[loss=0.4797, simple_loss=0.479, pruned_loss=0.2402, over 14264.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.0407, over 180.00 utterances.], tot_loss[loss=0.3481, simple_loss=0.3975, pruned_loss=0.1493, over 2778482.15 frames. utt_duration=235 frames, utt_pad_proportion=0.07388, over 47588.47 utterances.], batch size: 180, lr: 7.13e-04
+2022-09-17 11:54:51,168 INFO [train.py:885] (1/2) Epoch 6, batch 4850, loss[loss=0.5337, simple_loss=0.5779, pruned_loss=0.2447, over 13205.00 frames. utt_duration=82.44 frames, utt_pad_proportion=0.1039, over 653.00 utterances.], tot_loss[loss=0.3472, simple_loss=0.396, pruned_loss=0.1492, over 2779230.03 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07277, over 46781.55 utterances.], batch size: 653, lr: 7.12e-04
+2022-09-17 11:55:20,067 INFO [train.py:885] (1/2) Epoch 6, batch 4900, loss[loss=0.189, simple_loss=0.251, pruned_loss=0.06349, over 13621.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.08685, over 42.00 utterances.], tot_loss[loss=0.3457, simple_loss=0.3944, pruned_loss=0.1485, over 2780768.25 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07299, over 46180.16 utterances.], batch size: 42, lr: 7.12e-04
+2022-09-17 11:55:50,778 INFO [train.py:885] (1/2) Epoch 6, batch 4950, loss[loss=0.3859, simple_loss=0.4486, pruned_loss=0.1616, over 13982.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05705, over 365.00 utterances.], tot_loss[loss=0.342, simple_loss=0.3916, pruned_loss=0.1462, over 2778781.47 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07251, over 45624.63 utterances.], batch size: 365, lr: 7.12e-04
+2022-09-17 11:56:20,115 INFO [train.py:885] (1/2) Epoch 6, batch 5000, loss[loss=0.2198, simple_loss=0.2784, pruned_loss=0.08063, over 12086.00 frames. utt_duration=2016 frames, utt_pad_proportion=0.1933, over 24.00 utterances.], tot_loss[loss=0.3422, simple_loss=0.3919, pruned_loss=0.1462, over 2778217.02 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07371, over 46040.96 utterances.], batch size: 24, lr: 7.12e-04
+2022-09-17 11:56:49,878 INFO [train.py:885] (1/2) Epoch 6, batch 5050, loss[loss=0.2396, simple_loss=0.2975, pruned_loss=0.09083, over 13337.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08977, over 41.00 utterances.], tot_loss[loss=0.3409, simple_loss=0.3911, pruned_loss=0.1453, over 2779352.58 frames. utt_duration=240.7 frames, utt_pad_proportion=0.0733, over 46476.94 utterances.], batch size: 41, lr: 7.11e-04
+2022-09-17 11:57:19,074 INFO [train.py:885] (1/2) Epoch 6, batch 5100, loss[loss=0.2401, simple_loss=0.2892, pruned_loss=0.09547, over 13881.00 frames. utt_duration=927 frames, utt_pad_proportion=0.06838, over 60.00 utterances.], tot_loss[loss=0.3406, simple_loss=0.3907, pruned_loss=0.1452, over 2782926.93 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07191, over 45939.21 utterances.], batch size: 60, lr: 7.11e-04
+2022-09-17 11:57:48,740 INFO [train.py:885] (1/2) Epoch 6, batch 5150, loss[loss=0.2956, simple_loss=0.3431, pruned_loss=0.124, over 14337.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03765, over 120.00 utterances.], tot_loss[loss=0.3379, simple_loss=0.3882, pruned_loss=0.1439, over 2779402.99 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07397, over 45668.09 utterances.], batch size: 120, lr: 7.11e-04
+2022-09-17 11:58:18,453 INFO [train.py:885] (1/2) Epoch 6, batch 5200, loss[loss=0.4629, simple_loss=0.5159, pruned_loss=0.2049, over 13146.00 frames. utt_duration=82.07 frames, utt_pad_proportion=0.1079, over 653.00 utterances.], tot_loss[loss=0.3383, simple_loss=0.3892, pruned_loss=0.1438, over 2780188.86 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07288, over 47080.11 utterances.], batch size: 653, lr: 7.10e-04
+2022-09-17 11:58:47,611 INFO [train.py:885] (1/2) Epoch 6, batch 5250, loss[loss=0.3621, simple_loss=0.4097, pruned_loss=0.1572, over 14301.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04125, over 154.00 utterances.], tot_loss[loss=0.3425, simple_loss=0.3917, pruned_loss=0.1466, over 2780872.47 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07163, over 47040.49 utterances.], batch size: 154, lr: 7.10e-04
+2022-09-17 11:59:17,805 INFO [train.py:885] (1/2) Epoch 6, batch 5300, loss[loss=0.4802, simple_loss=0.4878, pruned_loss=0.2363, over 14253.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04224, over 335.00 utterances.], tot_loss[loss=0.3402, simple_loss=0.3891, pruned_loss=0.1456, over 2778348.02 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07232, over 45729.51 utterances.], batch size: 335, lr: 7.10e-04
+2022-09-17 11:59:46,233 INFO [train.py:885] (1/2) Epoch 6, batch 5350, loss[loss=0.2708, simple_loss=0.3285, pruned_loss=0.1065, over 14187.00 frames. utt_duration=639.1 frames, utt_pad_proportion=0.04896, over 89.00 utterances.], tot_loss[loss=0.3411, simple_loss=0.3903, pruned_loss=0.146, over 2782794.11 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07126, over 45885.02 utterances.], batch size: 89, lr: 7.10e-04
+2022-09-17 12:00:16,020 INFO [train.py:885] (1/2) Epoch 6, batch 5400, loss[loss=0.3185, simple_loss=0.3742, pruned_loss=0.1314, over 14280.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.03955, over 130.00 utterances.], tot_loss[loss=0.3412, simple_loss=0.3908, pruned_loss=0.1458, over 2786029.56 frames. utt_duration=242.6 frames, utt_pad_proportion=0.06937, over 46219.95 utterances.], batch size: 130, lr: 7.09e-04
+2022-09-17 12:00:45,524 INFO [train.py:885] (1/2) Epoch 6, batch 5450, loss[loss=0.2455, simple_loss=0.2887, pruned_loss=0.1011, over 13365.00 frames. utt_duration=1071 frames, utt_pad_proportion=0.09119, over 50.00 utterances.], tot_loss[loss=0.3416, simple_loss=0.3915, pruned_loss=0.1458, over 2782785.44 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0704, over 46720.23 utterances.], batch size: 50, lr: 7.09e-04
+2022-09-17 12:01:15,937 INFO [train.py:885] (1/2) Epoch 6, batch 5500, loss[loss=0.2545, simple_loss=0.3074, pruned_loss=0.1008, over 14211.00 frames. utt_duration=518.4 frames, utt_pad_proportion=0.04889, over 110.00 utterances.], tot_loss[loss=0.3428, simple_loss=0.3923, pruned_loss=0.1466, over 2778267.57 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07244, over 47539.31 utterances.], batch size: 110, lr: 7.09e-04
+2022-09-17 12:01:45,185 INFO [train.py:885] (1/2) Epoch 6, batch 5550, loss[loss=0.3674, simple_loss=0.4441, pruned_loss=0.1454, over 13662.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08172, over 478.00 utterances.], tot_loss[loss=0.343, simple_loss=0.3923, pruned_loss=0.1468, over 2779379.13 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07224, over 47069.98 utterances.], batch size: 478, lr: 7.09e-04
+2022-09-17 12:02:14,524 INFO [train.py:885] (1/2) Epoch 6, batch 5600, loss[loss=0.3815, simple_loss=0.4597, pruned_loss=0.1517, over 13604.00 frames. utt_duration=98.45 frames, utt_pad_proportion=0.07994, over 560.00 utterances.], tot_loss[loss=0.3382, simple_loss=0.3886, pruned_loss=0.1439, over 2780147.17 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07079, over 45630.09 utterances.], batch size: 560, lr: 7.08e-04
+2022-09-17 12:02:44,250 INFO [train.py:885] (1/2) Epoch 6, batch 5650, loss[loss=0.3643, simple_loss=0.411, pruned_loss=0.1588, over 14306.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03988, over 262.00 utterances.], tot_loss[loss=0.3389, simple_loss=0.3893, pruned_loss=0.1442, over 2778378.38 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07148, over 46293.17 utterances.], batch size: 262, lr: 7.08e-04
+2022-09-17 12:03:13,253 INFO [train.py:885] (1/2) Epoch 6, batch 5700, loss[loss=0.3837, simple_loss=0.4261, pruned_loss=0.1707, over 14335.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.0381, over 262.00 utterances.], tot_loss[loss=0.3435, simple_loss=0.393, pruned_loss=0.147, over 2779663.07 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07336, over 47376.94 utterances.], batch size: 262, lr: 7.08e-04
+2022-09-17 12:03:43,321 INFO [train.py:885] (1/2) Epoch 6, batch 5750, loss[loss=0.3683, simple_loss=0.4338, pruned_loss=0.1515, over 14006.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05543, over 365.00 utterances.], tot_loss[loss=0.3432, simple_loss=0.3928, pruned_loss=0.1468, over 2781413.89 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07177, over 47225.46 utterances.], batch size: 365, lr: 7.08e-04
+2022-09-17 12:04:12,752 INFO [train.py:885] (1/2) Epoch 6, batch 5800, loss[loss=0.3706, simple_loss=0.4203, pruned_loss=0.1605, over 14221.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04363, over 306.00 utterances.], tot_loss[loss=0.3378, simple_loss=0.3879, pruned_loss=0.1439, over 2784111.56 frames. utt_duration=246.6 frames, utt_pad_proportion=0.0694, over 45431.17 utterances.], batch size: 306, lr: 7.07e-04
+2022-09-17 12:04:42,453 INFO [train.py:885] (1/2) Epoch 6, batch 5850, loss[loss=0.1667, simple_loss=0.2137, pruned_loss=0.05983, over 13295.00 frames. utt_duration=1613 frames, utt_pad_proportion=0.1074, over 33.00 utterances.], tot_loss[loss=0.3365, simple_loss=0.3863, pruned_loss=0.1433, over 2781481.32 frames. utt_duration=249.3 frames, utt_pad_proportion=0.0702, over 44899.14 utterances.], batch size: 33, lr: 7.07e-04
+2022-09-17 12:05:11,645 INFO [train.py:885] (1/2) Epoch 6, batch 5900, loss[loss=0.1786, simple_loss=0.2255, pruned_loss=0.06586, over 13135.00 frames. utt_duration=1594 frames, utt_pad_proportion=0.1171, over 33.00 utterances.], tot_loss[loss=0.3325, simple_loss=0.3821, pruned_loss=0.1415, over 2779133.16 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06946, over 43492.05 utterances.], batch size: 33, lr: 7.07e-04
+2022-09-17 12:05:41,101 INFO [train.py:885] (1/2) Epoch 6, batch 5950, loss[loss=0.3054, simple_loss=0.3582, pruned_loss=0.1263, over 14271.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04424, over 141.00 utterances.], tot_loss[loss=0.3348, simple_loss=0.384, pruned_loss=0.1428, over 2777019.79 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06997, over 44025.65 utterances.], batch size: 141, lr: 7.07e-04
+2022-09-17 12:06:10,188 INFO [train.py:885] (1/2) Epoch 6, batch 6000, loss[loss=0.2862, simple_loss=0.3382, pruned_loss=0.1171, over 14130.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.0506, over 98.00 utterances.], tot_loss[loss=0.339, simple_loss=0.3871, pruned_loss=0.1454, over 2777289.13 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07107, over 44807.63 utterances.], batch size: 98, lr: 7.06e-04
+2022-09-17 12:06:10,189 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 12:06:15,115 INFO [train.py:914] (1/2) Epoch 6, validation: loss=0.236, simple_loss=0.3, pruned_loss=0.08599, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 12:06:44,725 INFO [train.py:885] (1/2) Epoch 6, batch 6050, loss[loss=0.3722, simple_loss=0.4227, pruned_loss=0.1609, over 14312.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03847, over 195.00 utterances.], tot_loss[loss=0.337, simple_loss=0.3859, pruned_loss=0.144, over 2776593.42 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07231, over 44769.05 utterances.], batch size: 195, lr: 7.06e-04
+2022-09-17 12:07:14,377 INFO [train.py:885] (1/2) Epoch 6, batch 6100, loss[loss=0.3624, simple_loss=0.4484, pruned_loss=0.1382, over 13668.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07873, over 477.00 utterances.], tot_loss[loss=0.3368, simple_loss=0.3863, pruned_loss=0.1436, over 2774778.77 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07354, over 44907.28 utterances.], batch size: 477, lr: 7.06e-04
+2022-09-17 12:07:42,887 INFO [train.py:885] (1/2) Epoch 6, batch 6150, loss[loss=0.3135, simple_loss=0.3791, pruned_loss=0.1239, over 14369.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03756, over 167.00 utterances.], tot_loss[loss=0.3371, simple_loss=0.387, pruned_loss=0.1436, over 2776679.32 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07231, over 44835.07 utterances.], batch size: 167, lr: 7.06e-04
+2022-09-17 12:08:13,015 INFO [train.py:885] (1/2) Epoch 6, batch 6200, loss[loss=0.2455, simple_loss=0.3024, pruned_loss=0.09429, over 14259.00 frames. utt_duration=642.4 frames, utt_pad_proportion=0.04263, over 89.00 utterances.], tot_loss[loss=0.3384, simple_loss=0.3872, pruned_loss=0.1448, over 2782195.07 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07183, over 43876.17 utterances.], batch size: 89, lr: 7.05e-04
+2022-09-17 12:08:42,962 INFO [train.py:885] (1/2) Epoch 6, batch 6250, loss[loss=0.3523, simple_loss=0.4401, pruned_loss=0.1322, over 13637.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08033, over 477.00 utterances.], tot_loss[loss=0.3396, simple_loss=0.3887, pruned_loss=0.1452, over 2782422.15 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07264, over 44590.48 utterances.], batch size: 477, lr: 7.05e-04
+2022-09-17 12:09:12,383 INFO [train.py:885] (1/2) Epoch 6, batch 6300, loss[loss=0.3231, simple_loss=0.3773, pruned_loss=0.1344, over 14373.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.03508, over 155.00 utterances.], tot_loss[loss=0.3381, simple_loss=0.3875, pruned_loss=0.1443, over 2782891.26 frames. utt_duration=254 frames, utt_pad_proportion=0.07148, over 44084.47 utterances.], batch size: 155, lr: 7.05e-04
+2022-09-17 12:09:41,613 INFO [train.py:885] (1/2) Epoch 6, batch 6350, loss[loss=0.4531, simple_loss=0.518, pruned_loss=0.1941, over 13178.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1061, over 653.00 utterances.], tot_loss[loss=0.3409, simple_loss=0.3892, pruned_loss=0.1463, over 2784297.76 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07104, over 44610.87 utterances.], batch size: 653, lr: 7.05e-04
+2022-09-17 12:10:11,122 INFO [train.py:885] (1/2) Epoch 6, batch 6400, loss[loss=0.2712, simple_loss=0.3216, pruned_loss=0.1103, over 14234.00 frames. utt_duration=641.2 frames, utt_pad_proportion=0.0458, over 89.00 utterances.], tot_loss[loss=0.3462, simple_loss=0.3936, pruned_loss=0.1494, over 2783415.36 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07264, over 45686.52 utterances.], batch size: 89, lr: 7.04e-04
+2022-09-17 12:10:40,826 INFO [train.py:885] (1/2) Epoch 6, batch 6450, loss[loss=0.3361, simple_loss=0.3777, pruned_loss=0.1472, over 14332.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.0377, over 120.00 utterances.], tot_loss[loss=0.3459, simple_loss=0.3931, pruned_loss=0.1493, over 2783288.28 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07124, over 45310.84 utterances.], batch size: 120, lr: 7.04e-04
+2022-09-17 12:11:10,590 INFO [train.py:885] (1/2) Epoch 6, batch 6500, loss[loss=0.3186, simple_loss=0.3837, pruned_loss=0.1267, over 14293.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03911, over 180.00 utterances.], tot_loss[loss=0.3412, simple_loss=0.3893, pruned_loss=0.1466, over 2783551.58 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07082, over 44733.80 utterances.], batch size: 180, lr: 7.04e-04
+2022-09-17 12:11:40,435 INFO [train.py:885] (1/2) Epoch 6, batch 6550, loss[loss=0.2696, simple_loss=0.3189, pruned_loss=0.1101, over 14071.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05484, over 98.00 utterances.], tot_loss[loss=0.3386, simple_loss=0.3878, pruned_loss=0.1447, over 2781514.45 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07245, over 44985.83 utterances.], batch size: 98, lr: 7.04e-04
+2022-09-17 12:12:09,891 INFO [train.py:885] (1/2) Epoch 6, batch 6600, loss[loss=0.1969, simple_loss=0.2375, pruned_loss=0.07812, over 13660.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.07941, over 50.00 utterances.], tot_loss[loss=0.3386, simple_loss=0.3881, pruned_loss=0.1445, over 2779168.42 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07264, over 45314.89 utterances.], batch size: 50, lr: 7.03e-04
+2022-09-17 12:12:39,696 INFO [train.py:885] (1/2) Epoch 6, batch 6650, loss[loss=0.3769, simple_loss=0.3969, pruned_loss=0.1785, over 14189.00 frames. utt_duration=639 frames, utt_pad_proportion=0.04764, over 89.00 utterances.], tot_loss[loss=0.3359, simple_loss=0.3868, pruned_loss=0.1425, over 2780188.41 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07256, over 44960.70 utterances.], batch size: 89, lr: 7.03e-04
+2022-09-17 12:13:08,299 INFO [train.py:885] (1/2) Epoch 6, batch 6700, loss[loss=0.1917, simple_loss=0.2374, pruned_loss=0.07301, over 13274.00 frames. utt_duration=1611 frames, utt_pad_proportion=0.0921, over 33.00 utterances.], tot_loss[loss=0.3362, simple_loss=0.3875, pruned_loss=0.1424, over 2780986.14 frames. utt_duration=245 frames, utt_pad_proportion=0.07243, over 45672.01 utterances.], batch size: 33, lr: 7.03e-04
+2022-09-17 12:13:37,513 INFO [train.py:885] (1/2) Epoch 6, batch 6750, loss[loss=0.2127, simple_loss=0.2562, pruned_loss=0.08466, over 13829.00 frames. utt_duration=923.3 frames, utt_pad_proportion=0.06641, over 60.00 utterances.], tot_loss[loss=0.3345, simple_loss=0.3853, pruned_loss=0.1419, over 2780291.43 frames. utt_duration=254.8 frames, utt_pad_proportion=0.07, over 43896.92 utterances.], batch size: 60, lr: 7.03e-04
+2022-09-17 12:14:06,889 INFO [train.py:885] (1/2) Epoch 6, batch 6800, loss[loss=0.4468, simple_loss=0.4703, pruned_loss=0.2117, over 14348.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03666, over 210.00 utterances.], tot_loss[loss=0.3314, simple_loss=0.3824, pruned_loss=0.1402, over 2781071.61 frames. utt_duration=259.7 frames, utt_pad_proportion=0.06988, over 43087.39 utterances.], batch size: 210, lr: 7.02e-04
+2022-09-17 12:14:36,715 INFO [train.py:885] (1/2) Epoch 6, batch 6850, loss[loss=0.183, simple_loss=0.235, pruned_loss=0.06547, over 13672.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.08027, over 50.00 utterances.], tot_loss[loss=0.3367, simple_loss=0.3872, pruned_loss=0.1431, over 2777662.71 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07131, over 45241.61 utterances.], batch size: 50, lr: 7.02e-04
+2022-09-17 12:15:05,642 INFO [train.py:885] (1/2) Epoch 6, batch 6900, loss[loss=0.3364, simple_loss=0.394, pruned_loss=0.1394, over 14341.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03631, over 210.00 utterances.], tot_loss[loss=0.3344, simple_loss=0.3844, pruned_loss=0.1422, over 2780198.73 frames. utt_duration=256 frames, utt_pad_proportion=0.06804, over 43694.86 utterances.], batch size: 210, lr: 7.02e-04
+2022-09-17 12:15:35,197 INFO [train.py:885] (1/2) Epoch 6, batch 6950, loss[loss=0.3444, simple_loss=0.4323, pruned_loss=0.1283, over 13636.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08023, over 477.00 utterances.], tot_loss[loss=0.3352, simple_loss=0.3855, pruned_loss=0.1425, over 2777903.27 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07038, over 44613.37 utterances.], batch size: 477, lr: 7.02e-04
+2022-09-17 12:16:04,946 INFO [train.py:885] (1/2) Epoch 6, batch 7000, loss[loss=0.4769, simple_loss=0.5399, pruned_loss=0.207, over 13154.00 frames. utt_duration=82.11 frames, utt_pad_proportion=0.1074, over 653.00 utterances.], tot_loss[loss=0.3385, simple_loss=0.3889, pruned_loss=0.144, over 2778234.66 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07277, over 46408.58 utterances.], batch size: 653, lr: 7.01e-04
+2022-09-17 12:16:34,162 INFO [train.py:885] (1/2) Epoch 6, batch 7050, loss[loss=0.3495, simple_loss=0.4002, pruned_loss=0.1494, over 14381.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03208, over 244.00 utterances.], tot_loss[loss=0.3338, simple_loss=0.3846, pruned_loss=0.1415, over 2778334.47 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07088, over 44705.05 utterances.], batch size: 244, lr: 7.01e-04
+2022-09-17 12:17:03,753 INFO [train.py:885] (1/2) Epoch 6, batch 7100, loss[loss=0.3203, simple_loss=0.3848, pruned_loss=0.1279, over 14352.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03286, over 195.00 utterances.], tot_loss[loss=0.335, simple_loss=0.3863, pruned_loss=0.1419, over 2779462.50 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06987, over 45668.99 utterances.], batch size: 195, lr: 7.01e-04
+2022-09-17 12:17:32,965 INFO [train.py:885] (1/2) Epoch 6, batch 7150, loss[loss=0.3534, simple_loss=0.3917, pruned_loss=0.1575, over 14325.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03904, over 154.00 utterances.], tot_loss[loss=0.3372, simple_loss=0.3874, pruned_loss=0.1435, over 2776734.75 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07143, over 45575.63 utterances.], batch size: 154, lr: 7.01e-04
+2022-09-17 12:18:02,694 INFO [train.py:885] (1/2) Epoch 6, batch 7200, loss[loss=0.2481, simple_loss=0.3121, pruned_loss=0.09207, over 13493.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.09163, over 50.00 utterances.], tot_loss[loss=0.3384, simple_loss=0.3886, pruned_loss=0.1441, over 2773866.86 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07318, over 45837.22 utterances.], batch size: 50, lr: 7.00e-04
+2022-09-17 12:18:32,611 INFO [train.py:885] (1/2) Epoch 6, batch 7250, loss[loss=0.4179, simple_loss=0.4616, pruned_loss=0.1871, over 14041.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05588, over 366.00 utterances.], tot_loss[loss=0.3353, simple_loss=0.3857, pruned_loss=0.1424, over 2769526.34 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07368, over 45082.00 utterances.], batch size: 366, lr: 7.00e-04
+2022-09-17 12:19:01,696 INFO [train.py:885] (1/2) Epoch 6, batch 7300, loss[loss=0.2226, simple_loss=0.2697, pruned_loss=0.08768, over 13826.00 frames. utt_duration=923.4 frames, utt_pad_proportion=0.07291, over 60.00 utterances.], tot_loss[loss=0.3358, simple_loss=0.3861, pruned_loss=0.1428, over 2775804.41 frames. utt_duration=250 frames, utt_pad_proportion=0.07153, over 44668.42 utterances.], batch size: 60, lr: 7.00e-04
+2022-09-17 12:19:31,489 INFO [train.py:885] (1/2) Epoch 6, batch 7350, loss[loss=0.3835, simple_loss=0.4293, pruned_loss=0.1689, over 14326.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.038, over 283.00 utterances.], tot_loss[loss=0.3354, simple_loss=0.3854, pruned_loss=0.1427, over 2775010.04 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07108, over 44598.16 utterances.], batch size: 283, lr: 7.00e-04
+2022-09-17 12:20:00,459 INFO [train.py:885] (1/2) Epoch 6, batch 7400, loss[loss=0.352, simple_loss=0.4089, pruned_loss=0.1475, over 14329.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03833, over 262.00 utterances.], tot_loss[loss=0.3367, simple_loss=0.3866, pruned_loss=0.1434, over 2781359.52 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06965, over 44878.83 utterances.], batch size: 262, lr: 6.99e-04
+2022-09-17 12:20:30,183 INFO [train.py:885] (1/2) Epoch 6, batch 7450, loss[loss=0.2565, simple_loss=0.3167, pruned_loss=0.09816, over 14147.00 frames. utt_duration=578.9 frames, utt_pad_proportion=0.04936, over 98.00 utterances.], tot_loss[loss=0.3358, simple_loss=0.3851, pruned_loss=0.1433, over 2782344.51 frames. utt_duration=255.9 frames, utt_pad_proportion=0.06878, over 43737.68 utterances.], batch size: 98, lr: 6.99e-04
+2022-09-17 12:20:59,797 INFO [train.py:885] (1/2) Epoch 6, batch 7500, loss[loss=0.2149, simple_loss=0.2781, pruned_loss=0.07584, over 13950.00 frames. utt_duration=931.3 frames, utt_pad_proportion=0.06119, over 60.00 utterances.], tot_loss[loss=0.3359, simple_loss=0.3857, pruned_loss=0.143, over 2782604.55 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06872, over 44576.58 utterances.], batch size: 60, lr: 6.99e-04
+2022-09-17 12:21:29,161 INFO [train.py:885] (1/2) Epoch 6, batch 7550, loss[loss=0.3687, simple_loss=0.4522, pruned_loss=0.1426, over 13590.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08316, over 477.00 utterances.], tot_loss[loss=0.3371, simple_loss=0.3861, pruned_loss=0.1441, over 2783930.65 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06822, over 43469.73 utterances.], batch size: 477, lr: 6.99e-04
+2022-09-17 12:22:07,373 INFO [train.py:885] (1/2) Epoch 6, batch 7600, loss[loss=0.4781, simple_loss=0.5399, pruned_loss=0.2082, over 13153.00 frames. utt_duration=82.08 frames, utt_pad_proportion=0.1078, over 653.00 utterances.], tot_loss[loss=0.3382, simple_loss=0.3872, pruned_loss=0.1446, over 2782087.86 frames. utt_duration=252.4 frames, utt_pad_proportion=0.0694, over 44349.03 utterances.], batch size: 653, lr: 6.98e-04
+2022-09-17 12:22:36,342 INFO [train.py:885] (1/2) Epoch 6, batch 7650, loss[loss=0.4222, simple_loss=0.4665, pruned_loss=0.1889, over 14029.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05668, over 366.00 utterances.], tot_loss[loss=0.3371, simple_loss=0.3864, pruned_loss=0.1439, over 2783551.62 frames. utt_duration=255 frames, utt_pad_proportion=0.06891, over 43918.93 utterances.], batch size: 366, lr: 6.98e-04
+2022-09-17 12:23:05,939 INFO [train.py:885] (1/2) Epoch 6, batch 7700, loss[loss=0.4629, simple_loss=0.527, pruned_loss=0.1994, over 13138.00 frames. utt_duration=82.01 frames, utt_pad_proportion=0.1086, over 653.00 utterances.], tot_loss[loss=0.3379, simple_loss=0.3871, pruned_loss=0.1444, over 2779530.86 frames. utt_duration=250.1 frames, utt_pad_proportion=0.0718, over 44718.94 utterances.], batch size: 653, lr: 6.98e-04
+2022-09-17 12:23:35,247 INFO [train.py:885] (1/2) Epoch 6, batch 7750, loss[loss=0.8066, simple_loss=0.7771, pruned_loss=0.418, over 12422.00 frames. utt_duration=62.91 frames, utt_pad_proportion=0.1499, over 811.00 utterances.], tot_loss[loss=0.3355, simple_loss=0.3848, pruned_loss=0.1431, over 2781798.32 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07172, over 44000.93 utterances.], batch size: 811, lr: 6.98e-04
+2022-09-17 12:24:05,218 INFO [train.py:885] (1/2) Epoch 6, batch 7800, loss[loss=0.4101, simple_loss=0.4731, pruned_loss=0.1736, over 13677.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08021, over 478.00 utterances.], tot_loss[loss=0.34, simple_loss=0.3891, pruned_loss=0.1455, over 2775000.33 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07575, over 46207.33 utterances.], batch size: 478, lr: 6.97e-04
+2022-09-17 12:24:35,340 INFO [train.py:885] (1/2) Epoch 6, batch 7850, loss[loss=0.2877, simple_loss=0.3373, pruned_loss=0.119, over 14122.00 frames. utt_duration=636.2 frames, utt_pad_proportion=0.05189, over 89.00 utterances.], tot_loss[loss=0.3404, simple_loss=0.39, pruned_loss=0.1454, over 2776972.03 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07662, over 46349.72 utterances.], batch size: 89, lr: 6.97e-04
+2022-09-17 12:25:04,038 INFO [train.py:885] (1/2) Epoch 6, batch 7900, loss[loss=0.3564, simple_loss=0.4145, pruned_loss=0.1491, over 14236.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.042, over 306.00 utterances.], tot_loss[loss=0.3395, simple_loss=0.3892, pruned_loss=0.1449, over 2781428.13 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07351, over 45725.81 utterances.], batch size: 306, lr: 6.97e-04
+2022-09-17 12:25:33,636 INFO [train.py:885] (1/2) Epoch 6, batch 7950, loss[loss=0.2449, simple_loss=0.3107, pruned_loss=0.08954, over 14031.00 frames. utt_duration=711.8 frames, utt_pad_proportion=0.05844, over 79.00 utterances.], tot_loss[loss=0.3389, simple_loss=0.388, pruned_loss=0.1449, over 2775858.44 frames. utt_duration=246 frames, utt_pad_proportion=0.07542, over 45400.51 utterances.], batch size: 79, lr: 6.97e-04
+2022-09-17 12:26:02,714 INFO [train.py:885] (1/2) Epoch 6, batch 8000, loss[loss=0.2563, simple_loss=0.3132, pruned_loss=0.09973, over 14047.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.05354, over 79.00 utterances.], tot_loss[loss=0.3441, simple_loss=0.3922, pruned_loss=0.148, over 2774820.54 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07535, over 46356.08 utterances.], batch size: 79, lr: 6.96e-04
+2022-09-17 12:26:32,247 INFO [train.py:885] (1/2) Epoch 6, batch 8050, loss[loss=0.1826, simple_loss=0.2527, pruned_loss=0.05629, over 13587.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.0914, over 42.00 utterances.], tot_loss[loss=0.3462, simple_loss=0.3951, pruned_loss=0.1487, over 2776072.81 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07613, over 48289.84 utterances.], batch size: 42, lr: 6.96e-04
+2022-09-17 12:27:01,703 INFO [train.py:885] (1/2) Epoch 6, batch 8100, loss[loss=0.3448, simple_loss=0.4039, pruned_loss=0.1429, over 14367.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03554, over 210.00 utterances.], tot_loss[loss=0.3522, simple_loss=0.4002, pruned_loss=0.1521, over 2775882.48 frames. utt_duration=222.4 frames, utt_pad_proportion=0.07765, over 50262.31 utterances.], batch size: 210, lr: 6.96e-04
+2022-09-17 12:27:30,782 INFO [train.py:885] (1/2) Epoch 6, batch 8150, loss[loss=0.3512, simple_loss=0.405, pruned_loss=0.1486, over 14324.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03875, over 262.00 utterances.], tot_loss[loss=0.3545, simple_loss=0.4026, pruned_loss=0.1533, over 2779670.04 frames. utt_duration=222 frames, utt_pad_proportion=0.07611, over 50409.78 utterances.], batch size: 262, lr: 6.96e-04
+2022-09-17 12:28:00,196 INFO [train.py:885] (1/2) Epoch 6, batch 8200, loss[loss=0.2462, simple_loss=0.3026, pruned_loss=0.09486, over 13913.00 frames. utt_duration=928.9 frames, utt_pad_proportion=0.06359, over 60.00 utterances.], tot_loss[loss=0.3481, simple_loss=0.3968, pruned_loss=0.1497, over 2780479.46 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07411, over 48018.87 utterances.], batch size: 60, lr: 6.95e-04
+2022-09-17 12:28:29,361 INFO [train.py:885] (1/2) Epoch 6, batch 8250, loss[loss=0.3362, simple_loss=0.4062, pruned_loss=0.1331, over 13953.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.0589, over 365.00 utterances.], tot_loss[loss=0.346, simple_loss=0.3957, pruned_loss=0.1481, over 2782736.04 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07285, over 47940.55 utterances.], batch size: 365, lr: 6.95e-04
+2022-09-17 12:28:58,957 INFO [train.py:885] (1/2) Epoch 6, batch 8300, loss[loss=0.2633, simple_loss=0.3126, pruned_loss=0.107, over 14201.00 frames. utt_duration=639.7 frames, utt_pad_proportion=0.04375, over 89.00 utterances.], tot_loss[loss=0.3429, simple_loss=0.3924, pruned_loss=0.1468, over 2780197.91 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07151, over 46032.21 utterances.], batch size: 89, lr: 6.95e-04
+2022-09-17 12:29:28,894 INFO [train.py:885] (1/2) Epoch 6, batch 8350, loss[loss=0.3622, simple_loss=0.4406, pruned_loss=0.1419, over 13637.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08115, over 477.00 utterances.], tot_loss[loss=0.3449, simple_loss=0.3939, pruned_loss=0.1479, over 2778928.56 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07337, over 47157.93 utterances.], batch size: 477, lr: 6.95e-04
+2022-09-17 12:29:59,034 INFO [train.py:885] (1/2) Epoch 6, batch 8400, loss[loss=0.3318, simple_loss=0.3859, pruned_loss=0.1388, over 14325.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03775, over 195.00 utterances.], tot_loss[loss=0.342, simple_loss=0.3917, pruned_loss=0.1462, over 2779262.60 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07183, over 46513.26 utterances.], batch size: 195, lr: 6.94e-04
+2022-09-17 12:30:27,708 INFO [train.py:885] (1/2) Epoch 6, batch 8450, loss[loss=0.3059, simple_loss=0.3692, pruned_loss=0.1213, over 14316.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03891, over 120.00 utterances.], tot_loss[loss=0.342, simple_loss=0.3915, pruned_loss=0.1462, over 2783059.01 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07198, over 46385.08 utterances.], batch size: 120, lr: 6.94e-04
+2022-09-17 12:30:57,640 INFO [train.py:885] (1/2) Epoch 6, batch 8500, loss[loss=0.2886, simple_loss=0.3466, pruned_loss=0.1153, over 14277.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.04194, over 130.00 utterances.], tot_loss[loss=0.341, simple_loss=0.3907, pruned_loss=0.1456, over 2781371.32 frames. utt_duration=241.9 frames, utt_pad_proportion=0.072, over 46279.54 utterances.], batch size: 130, lr: 6.94e-04
+2022-09-17 12:31:27,420 INFO [train.py:885] (1/2) Epoch 6, batch 8550, loss[loss=0.3396, simple_loss=0.3974, pruned_loss=0.141, over 14252.00 frames. utt_duration=318 frames, utt_pad_proportion=0.04225, over 180.00 utterances.], tot_loss[loss=0.3438, simple_loss=0.3939, pruned_loss=0.1468, over 2782848.25 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07217, over 47206.60 utterances.], batch size: 180, lr: 6.94e-04
+2022-09-17 12:31:56,640 INFO [train.py:885] (1/2) Epoch 6, batch 8600, loss[loss=0.1975, simple_loss=0.2504, pruned_loss=0.07231, over 12700.00 frames. utt_duration=2033 frames, utt_pad_proportion=0.1306, over 25.00 utterances.], tot_loss[loss=0.3441, simple_loss=0.3939, pruned_loss=0.1471, over 2777363.17 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07392, over 47546.30 utterances.], batch size: 25, lr: 6.94e-04
+2022-09-17 12:32:26,118 INFO [train.py:885] (1/2) Epoch 6, batch 8650, loss[loss=0.2581, simple_loss=0.3111, pruned_loss=0.1026, over 13995.00 frames. utt_duration=801 frames, utt_pad_proportion=0.06094, over 70.00 utterances.], tot_loss[loss=0.339, simple_loss=0.3896, pruned_loss=0.1442, over 2776946.27 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07382, over 46602.57 utterances.], batch size: 70, lr: 6.93e-04
+2022-09-17 12:32:55,064 INFO [train.py:885] (1/2) Epoch 6, batch 8700, loss[loss=0.3697, simple_loss=0.437, pruned_loss=0.1512, over 14118.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05001, over 368.00 utterances.], tot_loss[loss=0.3377, simple_loss=0.3882, pruned_loss=0.1436, over 2777450.96 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07363, over 45367.73 utterances.], batch size: 368, lr: 6.93e-04
+2022-09-17 12:33:25,301 INFO [train.py:885] (1/2) Epoch 6, batch 8750, loss[loss=0.2384, simple_loss=0.2908, pruned_loss=0.09303, over 12208.00 frames. utt_duration=2036 frames, utt_pad_proportion=0.1587, over 24.00 utterances.], tot_loss[loss=0.3369, simple_loss=0.3877, pruned_loss=0.1431, over 2779267.64 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07152, over 45407.96 utterances.], batch size: 24, lr: 6.93e-04
+2022-09-17 12:33:54,502 INFO [train.py:885] (1/2) Epoch 6, batch 8800, loss[loss=0.3847, simple_loss=0.4317, pruned_loss=0.1688, over 14370.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03247, over 244.00 utterances.], tot_loss[loss=0.338, simple_loss=0.3892, pruned_loss=0.1435, over 2778969.89 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07162, over 46133.78 utterances.], batch size: 244, lr: 6.93e-04
+2022-09-17 12:34:23,736 INFO [train.py:885] (1/2) Epoch 6, batch 8850, loss[loss=0.2603, simple_loss=0.3263, pruned_loss=0.0972, over 14290.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.03905, over 130.00 utterances.], tot_loss[loss=0.3361, simple_loss=0.3872, pruned_loss=0.1425, over 2780631.12 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07144, over 44705.38 utterances.], batch size: 130, lr: 6.92e-04
+2022-09-17 12:34:52,326 INFO [train.py:885] (1/2) Epoch 6, batch 8900, loss[loss=0.3514, simple_loss=0.4066, pruned_loss=0.1481, over 14273.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0406, over 225.00 utterances.], tot_loss[loss=0.3366, simple_loss=0.388, pruned_loss=0.1426, over 2776164.81 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07252, over 45737.14 utterances.], batch size: 225, lr: 6.92e-04
+2022-09-17 12:35:22,654 INFO [train.py:885] (1/2) Epoch 6, batch 8950, loss[loss=0.356, simple_loss=0.407, pruned_loss=0.1525, over 14322.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03818, over 262.00 utterances.], tot_loss[loss=0.338, simple_loss=0.3895, pruned_loss=0.1432, over 2776391.49 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07197, over 46510.64 utterances.], batch size: 262, lr: 6.92e-04
+2022-09-17 12:35:51,897 INFO [train.py:885] (1/2) Epoch 6, batch 9000, loss[loss=0.2362, simple_loss=0.2825, pruned_loss=0.09492, over 13344.00 frames. utt_duration=1619 frames, utt_pad_proportion=0.104, over 33.00 utterances.], tot_loss[loss=0.3366, simple_loss=0.3887, pruned_loss=0.1423, over 2775775.82 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07273, over 46680.55 utterances.], batch size: 33, lr: 6.92e-04
+2022-09-17 12:35:51,898 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 12:35:56,503 INFO [train.py:914] (1/2) Epoch 6, validation: loss=0.2205, simple_loss=0.2927, pruned_loss=0.07412, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 12:36:25,811 INFO [train.py:885] (1/2) Epoch 6, batch 9050, loss[loss=0.352, simple_loss=0.4191, pruned_loss=0.1425, over 14001.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05573, over 365.00 utterances.], tot_loss[loss=0.3394, simple_loss=0.3909, pruned_loss=0.1439, over 2772188.82 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07493, over 47372.37 utterances.], batch size: 365, lr: 6.91e-04
+2022-09-17 12:36:55,669 INFO [train.py:885] (1/2) Epoch 6, batch 9100, loss[loss=0.3631, simple_loss=0.4146, pruned_loss=0.1558, over 14339.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03443, over 244.00 utterances.], tot_loss[loss=0.3413, simple_loss=0.3926, pruned_loss=0.145, over 2774881.55 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07576, over 47289.34 utterances.], batch size: 244, lr: 6.91e-04
+2022-09-17 12:37:25,306 INFO [train.py:885] (1/2) Epoch 6, batch 9150, loss[loss=0.4015, simple_loss=0.4383, pruned_loss=0.1823, over 14331.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03863, over 262.00 utterances.], tot_loss[loss=0.3442, simple_loss=0.3948, pruned_loss=0.1468, over 2781944.21 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07373, over 47545.73 utterances.], batch size: 262, lr: 6.91e-04
+2022-09-17 12:37:54,799 INFO [train.py:885] (1/2) Epoch 6, batch 9200, loss[loss=0.3639, simple_loss=0.4468, pruned_loss=0.1405, over 13658.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08157, over 478.00 utterances.], tot_loss[loss=0.3437, simple_loss=0.393, pruned_loss=0.1472, over 2779998.13 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07396, over 46313.18 utterances.], batch size: 478, lr: 6.91e-04
+2022-09-17 12:38:24,754 INFO [train.py:885] (1/2) Epoch 6, batch 9250, loss[loss=0.3346, simple_loss=0.406, pruned_loss=0.1316, over 14039.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05554, over 366.00 utterances.], tot_loss[loss=0.3425, simple_loss=0.3921, pruned_loss=0.1465, over 2775117.43 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07515, over 46918.10 utterances.], batch size: 366, lr: 6.90e-04
+2022-09-17 12:38:53,812 INFO [train.py:885] (1/2) Epoch 6, batch 9300, loss[loss=0.3219, simple_loss=0.3887, pruned_loss=0.1275, over 14331.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03757, over 195.00 utterances.], tot_loss[loss=0.3401, simple_loss=0.3898, pruned_loss=0.1452, over 2775317.81 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07354, over 45805.38 utterances.], batch size: 195, lr: 6.90e-04
+2022-09-17 12:39:23,571 INFO [train.py:885] (1/2) Epoch 6, batch 9350, loss[loss=0.3251, simple_loss=0.3783, pruned_loss=0.1359, over 14309.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03957, over 130.00 utterances.], tot_loss[loss=0.3458, simple_loss=0.3947, pruned_loss=0.1484, over 2774693.87 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07493, over 47986.73 utterances.], batch size: 130, lr: 6.90e-04
+2022-09-17 12:39:53,186 INFO [train.py:885] (1/2) Epoch 6, batch 9400, loss[loss=0.2759, simple_loss=0.3326, pruned_loss=0.1095, over 14214.00 frames. utt_duration=640.3 frames, utt_pad_proportion=0.04576, over 89.00 utterances.], tot_loss[loss=0.3433, simple_loss=0.3936, pruned_loss=0.1465, over 2777089.36 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07432, over 48423.71 utterances.], batch size: 89, lr: 6.90e-04
+2022-09-17 12:40:22,274 INFO [train.py:885] (1/2) Epoch 6, batch 9450, loss[loss=0.5195, simple_loss=0.5145, pruned_loss=0.2623, over 14242.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04269, over 335.00 utterances.], tot_loss[loss=0.3478, simple_loss=0.3967, pruned_loss=0.1495, over 2777106.99 frames. utt_duration=228.7 frames, utt_pad_proportion=0.07502, over 48896.39 utterances.], batch size: 335, lr: 6.89e-04
+2022-09-17 12:40:52,194 INFO [train.py:885] (1/2) Epoch 6, batch 9500, loss[loss=0.6588, simple_loss=0.6912, pruned_loss=0.3132, over 12434.00 frames. utt_duration=63 frames, utt_pad_proportion=0.1486, over 810.00 utterances.], tot_loss[loss=0.3449, simple_loss=0.3939, pruned_loss=0.1479, over 2779147.11 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07391, over 47057.19 utterances.], batch size: 810, lr: 6.89e-04
+2022-09-17 12:41:21,838 INFO [train.py:885] (1/2) Epoch 6, batch 9550, loss[loss=0.1927, simple_loss=0.2404, pruned_loss=0.07245, over 13031.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.1242, over 33.00 utterances.], tot_loss[loss=0.3408, simple_loss=0.3907, pruned_loss=0.1455, over 2780415.16 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07308, over 46038.40 utterances.], batch size: 33, lr: 6.89e-04
+2022-09-17 12:41:51,314 INFO [train.py:885] (1/2) Epoch 6, batch 9600, loss[loss=0.6317, simple_loss=0.6685, pruned_loss=0.2975, over 12456.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1477, over 810.00 utterances.], tot_loss[loss=0.3431, simple_loss=0.3934, pruned_loss=0.1464, over 2780189.18 frames. utt_duration=238 frames, utt_pad_proportion=0.07247, over 47007.77 utterances.], batch size: 810, lr: 6.89e-04
+2022-09-17 12:42:20,905 INFO [train.py:885] (1/2) Epoch 6, batch 9650, loss[loss=0.3314, simple_loss=0.3883, pruned_loss=0.1372, over 14366.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03748, over 167.00 utterances.], tot_loss[loss=0.3415, simple_loss=0.3921, pruned_loss=0.1455, over 2781722.29 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07188, over 46888.33 utterances.], batch size: 167, lr: 6.89e-04
+2022-09-17 12:42:50,201 INFO [train.py:885] (1/2) Epoch 6, batch 9700, loss[loss=0.4765, simple_loss=0.487, pruned_loss=0.233, over 14220.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04338, over 306.00 utterances.], tot_loss[loss=0.3384, simple_loss=0.3891, pruned_loss=0.1439, over 2779904.41 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07154, over 46496.53 utterances.], batch size: 306, lr: 6.88e-04
+2022-09-17 12:43:19,896 INFO [train.py:885] (1/2) Epoch 6, batch 9750, loss[loss=0.7984, simple_loss=0.7696, pruned_loss=0.4136, over 12466.00 frames. utt_duration=63.03 frames, utt_pad_proportion=0.1482, over 811.00 utterances.], tot_loss[loss=0.3401, simple_loss=0.3901, pruned_loss=0.145, over 2776748.39 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07283, over 46211.84 utterances.], batch size: 811, lr: 6.88e-04
+2022-09-17 12:43:48,891 INFO [train.py:885] (1/2) Epoch 6, batch 9800, loss[loss=0.2212, simple_loss=0.2895, pruned_loss=0.07647, over 13972.00 frames. utt_duration=709 frames, utt_pad_proportion=0.06089, over 79.00 utterances.], tot_loss[loss=0.3391, simple_loss=0.3902, pruned_loss=0.144, over 2777729.33 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07211, over 46683.12 utterances.], batch size: 79, lr: 6.88e-04
+2022-09-17 12:44:18,726 INFO [train.py:885] (1/2) Epoch 6, batch 9850, loss[loss=0.2525, simple_loss=0.2931, pruned_loss=0.1059, over 14002.00 frames. utt_duration=710.4 frames, utt_pad_proportion=0.06033, over 79.00 utterances.], tot_loss[loss=0.339, simple_loss=0.3893, pruned_loss=0.1443, over 2775613.56 frames. utt_duration=239.9 frames, utt_pad_proportion=0.0733, over 46568.06 utterances.], batch size: 79, lr: 6.88e-04
+2022-09-17 12:44:48,283 INFO [train.py:885] (1/2) Epoch 6, batch 9900, loss[loss=0.216, simple_loss=0.2749, pruned_loss=0.07851, over 13920.00 frames. utt_duration=929.7 frames, utt_pad_proportion=0.06559, over 60.00 utterances.], tot_loss[loss=0.3444, simple_loss=0.3944, pruned_loss=0.1472, over 2774042.55 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07426, over 48051.70 utterances.], batch size: 60, lr: 6.87e-04
+2022-09-17 12:45:17,496 INFO [train.py:885] (1/2) Epoch 6, batch 9950, loss[loss=0.3273, simple_loss=0.3548, pruned_loss=0.1499, over 13968.00 frames. utt_duration=708.7 frames, utt_pad_proportion=0.06259, over 79.00 utterances.], tot_loss[loss=0.3464, simple_loss=0.3962, pruned_loss=0.1483, over 2773936.60 frames. utt_duration=228.2 frames, utt_pad_proportion=0.07593, over 48933.69 utterances.], batch size: 79, lr: 6.87e-04
+2022-09-17 12:45:47,503 INFO [train.py:885] (1/2) Epoch 6, batch 10000, loss[loss=0.2849, simple_loss=0.3491, pruned_loss=0.1104, over 14151.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04629, over 109.00 utterances.], tot_loss[loss=0.3446, simple_loss=0.3949, pruned_loss=0.1472, over 2778253.92 frames. utt_duration=231.8 frames, utt_pad_proportion=0.0748, over 48254.59 utterances.], batch size: 109, lr: 6.87e-04
+2022-09-17 12:46:17,052 INFO [train.py:885] (1/2) Epoch 6, batch 10050, loss[loss=0.4213, simple_loss=0.4729, pruned_loss=0.1848, over 14035.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05611, over 366.00 utterances.], tot_loss[loss=0.3456, simple_loss=0.3963, pruned_loss=0.1474, over 2779515.16 frames. utt_duration=229.2 frames, utt_pad_proportion=0.07351, over 48828.79 utterances.], batch size: 366, lr: 6.87e-04
+2022-09-17 12:46:46,284 INFO [train.py:885] (1/2) Epoch 6, batch 10100, loss[loss=0.4015, simple_loss=0.4357, pruned_loss=0.1837, over 14328.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03802, over 195.00 utterances.], tot_loss[loss=0.3438, simple_loss=0.3949, pruned_loss=0.1464, over 2783420.13 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07143, over 48102.14 utterances.], batch size: 195, lr: 6.86e-04
+2022-09-17 12:47:16,085 INFO [train.py:885] (1/2) Epoch 6, batch 10150, loss[loss=0.3191, simple_loss=0.374, pruned_loss=0.1321, over 14332.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03652, over 154.00 utterances.], tot_loss[loss=0.3421, simple_loss=0.3933, pruned_loss=0.1454, over 2782442.88 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07001, over 47197.54 utterances.], batch size: 154, lr: 6.86e-04
+2022-09-17 12:47:45,535 INFO [train.py:885] (1/2) Epoch 6, batch 10200, loss[loss=0.4297, simple_loss=0.5037, pruned_loss=0.1778, over 13103.00 frames. utt_duration=81.85 frames, utt_pad_proportion=0.1103, over 653.00 utterances.], tot_loss[loss=0.3413, simple_loss=0.3924, pruned_loss=0.1451, over 2780751.02 frames. utt_duration=239.6 frames, utt_pad_proportion=0.06968, over 46701.80 utterances.], batch size: 653, lr: 6.86e-04
+2022-09-17 12:48:14,480 INFO [train.py:885] (1/2) Epoch 6, batch 10250, loss[loss=0.3971, simple_loss=0.4528, pruned_loss=0.1707, over 13989.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05693, over 365.00 utterances.], tot_loss[loss=0.3369, simple_loss=0.388, pruned_loss=0.1429, over 2779583.53 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06769, over 44774.06 utterances.], batch size: 365, lr: 6.86e-04
+2022-09-17 12:48:43,866 INFO [train.py:885] (1/2) Epoch 6, batch 10300, loss[loss=0.333, simple_loss=0.3808, pruned_loss=0.1426, over 14382.00 frames. utt_duration=345.9 frames, utt_pad_proportion=0.0365, over 167.00 utterances.], tot_loss[loss=0.3342, simple_loss=0.386, pruned_loss=0.1412, over 2779577.88 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06818, over 44778.09 utterances.], batch size: 167, lr: 6.85e-04
+2022-09-17 12:49:13,999 INFO [train.py:885] (1/2) Epoch 6, batch 10350, loss[loss=0.2814, simple_loss=0.3453, pruned_loss=0.1088, over 14334.00 frames. utt_duration=408 frames, utt_pad_proportion=0.03997, over 141.00 utterances.], tot_loss[loss=0.3348, simple_loss=0.3867, pruned_loss=0.1414, over 2780637.99 frames. utt_duration=247.4 frames, utt_pad_proportion=0.069, over 45217.95 utterances.], batch size: 141, lr: 6.85e-04
+2022-09-17 12:49:43,355 INFO [train.py:885] (1/2) Epoch 6, batch 10400, loss[loss=0.3378, simple_loss=0.39, pruned_loss=0.1428, over 14243.00 frames. utt_duration=318 frames, utt_pad_proportion=0.04203, over 180.00 utterances.], tot_loss[loss=0.3339, simple_loss=0.3858, pruned_loss=0.141, over 2778076.92 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07162, over 44955.48 utterances.], batch size: 180, lr: 6.85e-04
+2022-09-17 12:50:13,236 INFO [train.py:885] (1/2) Epoch 6, batch 10450, loss[loss=0.4567, simple_loss=0.472, pruned_loss=0.2207, over 14236.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04293, over 335.00 utterances.], tot_loss[loss=0.3375, simple_loss=0.389, pruned_loss=0.143, over 2779619.33 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07199, over 45948.22 utterances.], batch size: 335, lr: 6.85e-04
+2022-09-17 12:50:41,944 INFO [train.py:885] (1/2) Epoch 6, batch 10500, loss[loss=0.3598, simple_loss=0.4076, pruned_loss=0.156, over 14295.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03877, over 180.00 utterances.], tot_loss[loss=0.3376, simple_loss=0.3888, pruned_loss=0.1432, over 2773241.90 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07316, over 46568.19 utterances.], batch size: 180, lr: 6.85e-04
+2022-09-17 12:51:12,466 INFO [train.py:885] (1/2) Epoch 6, batch 10550, loss[loss=0.3579, simple_loss=0.4063, pruned_loss=0.1547, over 14258.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.04133, over 180.00 utterances.], tot_loss[loss=0.3428, simple_loss=0.3946, pruned_loss=0.1455, over 2771344.82 frames. utt_duration=224.5 frames, utt_pad_proportion=0.07548, over 49704.22 utterances.], batch size: 180, lr: 6.84e-04
+2022-09-17 12:51:41,613 INFO [train.py:885] (1/2) Epoch 6, batch 10600, loss[loss=0.3265, simple_loss=0.377, pruned_loss=0.138, over 14270.00 frames. utt_duration=477 frames, utt_pad_proportion=0.04209, over 120.00 utterances.], tot_loss[loss=0.3403, simple_loss=0.3919, pruned_loss=0.1443, over 2773687.88 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07501, over 48156.39 utterances.], batch size: 120, lr: 6.84e-04
+2022-09-17 12:52:11,525 INFO [train.py:885] (1/2) Epoch 6, batch 10650, loss[loss=0.4647, simple_loss=0.5204, pruned_loss=0.2045, over 13626.00 frames. utt_duration=98.7 frames, utt_pad_proportion=0.07757, over 560.00 utterances.], tot_loss[loss=0.3442, simple_loss=0.3951, pruned_loss=0.1467, over 2778949.37 frames. utt_duration=228.3 frames, utt_pad_proportion=0.07263, over 49014.00 utterances.], batch size: 560, lr: 6.84e-04
+2022-09-17 12:52:40,566 INFO [train.py:885] (1/2) Epoch 6, batch 10700, loss[loss=0.4364, simple_loss=0.4816, pruned_loss=0.1956, over 13937.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.05999, over 365.00 utterances.], tot_loss[loss=0.3427, simple_loss=0.3946, pruned_loss=0.1454, over 2779853.36 frames. utt_duration=228.8 frames, utt_pad_proportion=0.07404, over 48911.07 utterances.], batch size: 365, lr: 6.84e-04
+2022-09-17 12:53:10,056 INFO [train.py:885] (1/2) Epoch 6, batch 10750, loss[loss=0.2895, simple_loss=0.345, pruned_loss=0.117, over 14320.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03715, over 130.00 utterances.], tot_loss[loss=0.3417, simple_loss=0.3933, pruned_loss=0.1451, over 2779187.27 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07361, over 48079.38 utterances.], batch size: 130, lr: 6.83e-04
+2022-09-17 12:53:39,081 INFO [train.py:885] (1/2) Epoch 6, batch 10800, loss[loss=0.2844, simple_loss=0.3473, pruned_loss=0.1107, over 14213.00 frames. utt_duration=523.1 frames, utt_pad_proportion=0.04192, over 109.00 utterances.], tot_loss[loss=0.3386, simple_loss=0.3905, pruned_loss=0.1433, over 2777148.65 frames. utt_duration=237 frames, utt_pad_proportion=0.07322, over 47161.46 utterances.], batch size: 109, lr: 6.83e-04
+2022-09-17 12:54:09,335 INFO [train.py:885] (1/2) Epoch 6, batch 10850, loss[loss=0.2324, simple_loss=0.2878, pruned_loss=0.08848, over 11973.00 frames. utt_duration=1997 frames, utt_pad_proportion=0.1716, over 24.00 utterances.], tot_loss[loss=0.3414, simple_loss=0.3926, pruned_loss=0.145, over 2774247.50 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07494, over 47885.43 utterances.], batch size: 24, lr: 6.83e-04
+2022-09-17 12:54:38,375 INFO [train.py:885] (1/2) Epoch 6, batch 10900, loss[loss=0.3597, simple_loss=0.4026, pruned_loss=0.1583, over 14315.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03764, over 130.00 utterances.], tot_loss[loss=0.3394, simple_loss=0.3901, pruned_loss=0.1444, over 2780320.80 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07177, over 46119.24 utterances.], batch size: 130, lr: 6.83e-04
+2022-09-17 12:55:07,981 INFO [train.py:885] (1/2) Epoch 6, batch 10950, loss[loss=0.2926, simple_loss=0.3512, pruned_loss=0.117, over 14320.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.0389, over 130.00 utterances.], tot_loss[loss=0.3372, simple_loss=0.3877, pruned_loss=0.1433, over 2783078.17 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07062, over 45393.73 utterances.], batch size: 130, lr: 6.82e-04
+2022-09-17 12:55:37,164 INFO [train.py:885] (1/2) Epoch 6, batch 11000, loss[loss=0.389, simple_loss=0.4216, pruned_loss=0.1782, over 14228.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.04339, over 225.00 utterances.], tot_loss[loss=0.3379, simple_loss=0.3883, pruned_loss=0.1438, over 2781563.04 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07145, over 45748.35 utterances.], batch size: 225, lr: 6.82e-04
+2022-09-17 12:56:07,070 INFO [train.py:885] (1/2) Epoch 6, batch 11050, loss[loss=0.3807, simple_loss=0.4281, pruned_loss=0.1667, over 14227.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04248, over 306.00 utterances.], tot_loss[loss=0.3388, simple_loss=0.3899, pruned_loss=0.1438, over 2778449.55 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07248, over 47277.95 utterances.], batch size: 306, lr: 6.82e-04
+2022-09-17 12:56:36,072 INFO [train.py:885] (1/2) Epoch 6, batch 11100, loss[loss=0.2462, simple_loss=0.3074, pruned_loss=0.09254, over 14051.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.05571, over 98.00 utterances.], tot_loss[loss=0.3345, simple_loss=0.3846, pruned_loss=0.1422, over 2777515.81 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07136, over 45100.07 utterances.], batch size: 98, lr: 6.82e-04
+2022-09-17 12:57:05,799 INFO [train.py:885] (1/2) Epoch 6, batch 11150, loss[loss=0.2478, simple_loss=0.3126, pruned_loss=0.09149, over 14143.00 frames. utt_duration=636.9 frames, utt_pad_proportion=0.05075, over 89.00 utterances.], tot_loss[loss=0.3349, simple_loss=0.385, pruned_loss=0.1424, over 2781751.61 frames. utt_duration=250 frames, utt_pad_proportion=0.06961, over 44779.09 utterances.], batch size: 89, lr: 6.82e-04
+2022-09-17 12:57:34,841 INFO [train.py:885] (1/2) Epoch 6, batch 11200, loss[loss=0.336, simple_loss=0.3885, pruned_loss=0.1418, over 14250.00 frames. utt_duration=318 frames, utt_pad_proportion=0.0421, over 180.00 utterances.], tot_loss[loss=0.3329, simple_loss=0.383, pruned_loss=0.1414, over 2788694.24 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06608, over 43425.40 utterances.], batch size: 180, lr: 6.81e-04
+2022-09-17 12:58:04,640 INFO [train.py:885] (1/2) Epoch 6, batch 11250, loss[loss=0.3585, simple_loss=0.4251, pruned_loss=0.1459, over 13966.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05799, over 365.00 utterances.], tot_loss[loss=0.3323, simple_loss=0.3823, pruned_loss=0.1411, over 2787181.73 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06515, over 43542.20 utterances.], batch size: 365, lr: 6.81e-04
+2022-09-17 12:58:34,760 INFO [train.py:885] (1/2) Epoch 6, batch 11300, loss[loss=0.3401, simple_loss=0.4012, pruned_loss=0.1395, over 14366.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03275, over 244.00 utterances.], tot_loss[loss=0.3313, simple_loss=0.3817, pruned_loss=0.1404, over 2788668.62 frames. utt_duration=259.7 frames, utt_pad_proportion=0.06628, over 43196.62 utterances.], batch size: 244, lr: 6.81e-04
+2022-09-17 12:59:04,295 INFO [train.py:885] (1/2) Epoch 6, batch 11350, loss[loss=0.4441, simple_loss=0.4677, pruned_loss=0.2103, over 14368.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03202, over 244.00 utterances.], tot_loss[loss=0.3318, simple_loss=0.3822, pruned_loss=0.1407, over 2790802.72 frames. utt_duration=259 frames, utt_pad_proportion=0.06585, over 43348.73 utterances.], batch size: 244, lr: 6.81e-04
+2022-09-17 12:59:33,610 INFO [train.py:885] (1/2) Epoch 6, batch 11400, loss[loss=0.2091, simple_loss=0.2678, pruned_loss=0.07517, over 12440.00 frames. utt_duration=2075 frames, utt_pad_proportion=0.169, over 24.00 utterances.], tot_loss[loss=0.3319, simple_loss=0.3824, pruned_loss=0.1407, over 2787569.31 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06616, over 43227.15 utterances.], batch size: 24, lr: 6.80e-04
+2022-09-17 13:00:03,111 INFO [train.py:885] (1/2) Epoch 6, batch 11450, loss[loss=0.3809, simple_loss=0.4149, pruned_loss=0.1735, over 14317.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03877, over 195.00 utterances.], tot_loss[loss=0.339, simple_loss=0.3891, pruned_loss=0.1444, over 2786098.81 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06859, over 45878.11 utterances.], batch size: 195, lr: 6.80e-04
+2022-09-17 13:00:32,764 INFO [train.py:885] (1/2) Epoch 6, batch 11500, loss[loss=0.2729, simple_loss=0.3344, pruned_loss=0.1056, over 14305.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03963, over 120.00 utterances.], tot_loss[loss=0.3382, simple_loss=0.389, pruned_loss=0.1437, over 2788988.41 frames. utt_duration=242.5 frames, utt_pad_proportion=0.06814, over 46293.60 utterances.], batch size: 120, lr: 6.80e-04
+2022-09-17 13:01:01,704 INFO [train.py:885] (1/2) Epoch 6, batch 11550, loss[loss=0.3523, simple_loss=0.4109, pruned_loss=0.1468, over 14280.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04038, over 225.00 utterances.], tot_loss[loss=0.3394, simple_loss=0.3894, pruned_loss=0.1447, over 2789465.14 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06826, over 45737.09 utterances.], batch size: 225, lr: 6.80e-04
+2022-09-17 13:01:30,995 INFO [train.py:885] (1/2) Epoch 6, batch 11600, loss[loss=0.296, simple_loss=0.3345, pruned_loss=0.1287, over 14172.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.04503, over 109.00 utterances.], tot_loss[loss=0.343, simple_loss=0.3934, pruned_loss=0.1463, over 2785773.17 frames. utt_duration=232 frames, utt_pad_proportion=0.07217, over 48344.82 utterances.], batch size: 109, lr: 6.80e-04
+2022-09-17 13:02:00,358 INFO [train.py:885] (1/2) Epoch 6, batch 11650, loss[loss=0.1968, simple_loss=0.2647, pruned_loss=0.06443, over 13429.00 frames. utt_duration=1629 frames, utt_pad_proportion=0.09028, over 33.00 utterances.], tot_loss[loss=0.3369, simple_loss=0.3877, pruned_loss=0.143, over 2780372.91 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07202, over 45698.57 utterances.], batch size: 33, lr: 6.79e-04
+2022-09-17 13:02:30,095 INFO [train.py:885] (1/2) Epoch 6, batch 11700, loss[loss=0.3277, simple_loss=0.3866, pruned_loss=0.1344, over 14354.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03808, over 167.00 utterances.], tot_loss[loss=0.3386, simple_loss=0.3891, pruned_loss=0.1441, over 2777808.80 frames. utt_duration=242.3 frames, utt_pad_proportion=0.0737, over 46147.32 utterances.], batch size: 167, lr: 6.79e-04
+2022-09-17 13:02:59,507 INFO [train.py:885] (1/2) Epoch 6, batch 11750, loss[loss=0.3122, simple_loss=0.3693, pruned_loss=0.1276, over 14305.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03799, over 130.00 utterances.], tot_loss[loss=0.3398, simple_loss=0.39, pruned_loss=0.1448, over 2779978.88 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07344, over 46351.23 utterances.], batch size: 130, lr: 6.79e-04
+2022-09-17 13:03:29,144 INFO [train.py:885] (1/2) Epoch 6, batch 11800, loss[loss=0.3384, simple_loss=0.3896, pruned_loss=0.1436, over 14351.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.0385, over 167.00 utterances.], tot_loss[loss=0.3425, simple_loss=0.3932, pruned_loss=0.1458, over 2779856.15 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07473, over 48056.61 utterances.], batch size: 167, lr: 6.79e-04
+2022-09-17 13:03:57,925 INFO [train.py:885] (1/2) Epoch 6, batch 11850, loss[loss=0.3621, simple_loss=0.4112, pruned_loss=0.1565, over 14307.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03934, over 283.00 utterances.], tot_loss[loss=0.3413, simple_loss=0.3911, pruned_loss=0.1458, over 2784518.25 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07174, over 46026.98 utterances.], batch size: 283, lr: 6.78e-04
+2022-09-17 13:04:28,029 INFO [train.py:885] (1/2) Epoch 6, batch 11900, loss[loss=0.2305, simple_loss=0.2756, pruned_loss=0.09268, over 13696.00 frames. utt_duration=914.6 frames, utt_pad_proportion=0.08176, over 60.00 utterances.], tot_loss[loss=0.338, simple_loss=0.3881, pruned_loss=0.1439, over 2782460.84 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07165, over 45116.59 utterances.], batch size: 60, lr: 6.78e-04
+2022-09-17 13:04:56,797 INFO [train.py:885] (1/2) Epoch 6, batch 11950, loss[loss=0.4006, simple_loss=0.4759, pruned_loss=0.1627, over 13601.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08288, over 477.00 utterances.], tot_loss[loss=0.3376, simple_loss=0.388, pruned_loss=0.1436, over 2781163.97 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06903, over 45228.88 utterances.], batch size: 477, lr: 6.78e-04
+2022-09-17 13:05:26,290 INFO [train.py:885] (1/2) Epoch 6, batch 12000, loss[loss=0.2385, simple_loss=0.2984, pruned_loss=0.08936, over 13391.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.08473, over 41.00 utterances.], tot_loss[loss=0.3358, simple_loss=0.3867, pruned_loss=0.1424, over 2780417.86 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07061, over 45040.50 utterances.], batch size: 41, lr: 6.78e-04
+2022-09-17 13:05:26,291 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 13:05:30,453 INFO [train.py:914] (1/2) Epoch 6, validation: loss=0.2296, simple_loss=0.3022, pruned_loss=0.07851, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 13:06:01,227 INFO [train.py:885] (1/2) Epoch 6, batch 12050, loss[loss=0.4992, simple_loss=0.5263, pruned_loss=0.236, over 13655.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07986, over 477.00 utterances.], tot_loss[loss=0.336, simple_loss=0.3871, pruned_loss=0.1424, over 2782699.47 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07022, over 45487.75 utterances.], batch size: 477, lr: 6.77e-04
+2022-09-17 13:06:30,737 INFO [train.py:885] (1/2) Epoch 6, batch 12100, loss[loss=0.4743, simple_loss=0.4746, pruned_loss=0.237, over 14298.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03865, over 180.00 utterances.], tot_loss[loss=0.3372, simple_loss=0.3883, pruned_loss=0.1431, over 2785236.02 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07017, over 45463.93 utterances.], batch size: 180, lr: 6.77e-04
+2022-09-17 13:07:00,609 INFO [train.py:885] (1/2) Epoch 6, batch 12150, loss[loss=0.1771, simple_loss=0.2318, pruned_loss=0.06123, over 13393.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.08587, over 41.00 utterances.], tot_loss[loss=0.3352, simple_loss=0.3868, pruned_loss=0.1418, over 2774861.26 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07267, over 46251.12 utterances.], batch size: 41, lr: 6.77e-04
+2022-09-17 13:07:29,838 INFO [train.py:885] (1/2) Epoch 6, batch 12200, loss[loss=0.4096, simple_loss=0.4455, pruned_loss=0.1869, over 14300.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.0403, over 262.00 utterances.], tot_loss[loss=0.3322, simple_loss=0.3845, pruned_loss=0.14, over 2778701.59 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07223, over 45164.86 utterances.], batch size: 262, lr: 6.77e-04
+2022-09-17 13:07:59,680 INFO [train.py:885] (1/2) Epoch 6, batch 12250, loss[loss=0.2805, simple_loss=0.3369, pruned_loss=0.112, over 14317.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03714, over 130.00 utterances.], tot_loss[loss=0.3368, simple_loss=0.3877, pruned_loss=0.1429, over 2781727.74 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07129, over 45543.50 utterances.], batch size: 130, lr: 6.77e-04
+2022-09-17 13:08:29,588 INFO [train.py:885] (1/2) Epoch 6, batch 12300, loss[loss=0.2107, simple_loss=0.2748, pruned_loss=0.07326, over 13494.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.09256, over 50.00 utterances.], tot_loss[loss=0.3386, simple_loss=0.3901, pruned_loss=0.1436, over 2782134.78 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07242, over 47209.27 utterances.], batch size: 50, lr: 6.76e-04
+2022-09-17 13:08:59,156 INFO [train.py:885] (1/2) Epoch 6, batch 12350, loss[loss=0.2973, simple_loss=0.3624, pruned_loss=0.1161, over 14272.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04372, over 141.00 utterances.], tot_loss[loss=0.3452, simple_loss=0.396, pruned_loss=0.1472, over 2781216.56 frames. utt_duration=227.4 frames, utt_pad_proportion=0.07425, over 49233.67 utterances.], batch size: 141, lr: 6.76e-04
+2022-09-17 13:09:28,941 INFO [train.py:885] (1/2) Epoch 6, batch 12400, loss[loss=0.3642, simple_loss=0.4477, pruned_loss=0.1403, over 13696.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07699, over 477.00 utterances.], tot_loss[loss=0.347, simple_loss=0.3979, pruned_loss=0.148, over 2780379.41 frames. utt_duration=220.9 frames, utt_pad_proportion=0.07546, over 50695.81 utterances.], batch size: 477, lr: 6.76e-04
+2022-09-17 13:09:58,109 INFO [train.py:885] (1/2) Epoch 6, batch 12450, loss[loss=0.2054, simple_loss=0.2313, pruned_loss=0.08977, over 13080.00 frames. utt_duration=1587 frames, utt_pad_proportion=0.1045, over 33.00 utterances.], tot_loss[loss=0.3461, simple_loss=0.3974, pruned_loss=0.1474, over 2775568.24 frames. utt_duration=220.1 frames, utt_pad_proportion=0.07656, over 50790.45 utterances.], batch size: 33, lr: 6.76e-04
+2022-09-17 13:10:34,741 INFO [train.py:885] (1/2) Epoch 6, batch 12500, loss[loss=0.3468, simple_loss=0.3924, pruned_loss=0.1506, over 14319.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.0406, over 167.00 utterances.], tot_loss[loss=0.3453, simple_loss=0.3951, pruned_loss=0.1477, over 2777661.09 frames. utt_duration=228.5 frames, utt_pad_proportion=0.07488, over 48944.74 utterances.], batch size: 167, lr: 6.75e-04
+2022-09-17 13:11:04,017 INFO [train.py:885] (1/2) Epoch 6, batch 12550, loss[loss=0.3672, simple_loss=0.4448, pruned_loss=0.1448, over 13613.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08194, over 477.00 utterances.], tot_loss[loss=0.3419, simple_loss=0.3922, pruned_loss=0.1458, over 2778622.66 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07423, over 47474.26 utterances.], batch size: 477, lr: 6.75e-04
+2022-09-17 13:11:32,023 INFO [train.py:885] (1/2) Epoch 6, batch 12600, loss[loss=0.3159, simple_loss=0.3766, pruned_loss=0.1276, over 14265.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.0405, over 180.00 utterances.], tot_loss[loss=0.3428, simple_loss=0.3933, pruned_loss=0.1461, over 2777434.85 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07385, over 47804.51 utterances.], batch size: 180, lr: 6.75e-04
+2022-09-17 13:11:50,385 INFO [train.py:885] (1/2) Epoch 7, batch 0, loss[loss=0.3388, simple_loss=0.383, pruned_loss=0.1473, over 14285.00 frames. utt_duration=441 frames, utt_pad_proportion=0.03915, over 130.00 utterances.], tot_loss[loss=0.3388, simple_loss=0.383, pruned_loss=0.1473, over 14285.00 frames. utt_duration=441 frames, utt_pad_proportion=0.03915, over 130.00 utterances.], batch size: 130, lr: 6.48e-04
+2022-09-17 13:12:20,072 INFO [train.py:885] (1/2) Epoch 7, batch 50, loss[loss=0.3595, simple_loss=0.4419, pruned_loss=0.1385, over 13666.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07835, over 477.00 utterances.], tot_loss[loss=0.3314, simple_loss=0.3846, pruned_loss=0.1391, over 629398.21 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07312, over 10519.42 utterances.], batch size: 477, lr: 6.47e-04
+2022-09-17 13:12:49,909 INFO [train.py:885] (1/2) Epoch 7, batch 100, loss[loss=0.6886, simple_loss=0.6902, pruned_loss=0.3434, over 12381.00 frames. utt_duration=62.72 frames, utt_pad_proportion=0.1524, over 810.00 utterances.], tot_loss[loss=0.3406, simple_loss=0.3908, pruned_loss=0.1453, over 1099270.68 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07922, over 19042.99 utterances.], batch size: 810, lr: 6.47e-04
+2022-09-17 13:13:18,891 INFO [train.py:885] (1/2) Epoch 7, batch 150, loss[loss=0.3482, simple_loss=0.3979, pruned_loss=0.1493, over 14228.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04711, over 141.00 utterances.], tot_loss[loss=0.3364, simple_loss=0.3878, pruned_loss=0.1425, over 1477265.58 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07334, over 24072.73 utterances.], batch size: 141, lr: 6.47e-04
+2022-09-17 13:13:48,777 INFO [train.py:885] (1/2) Epoch 7, batch 200, loss[loss=0.2404, simple_loss=0.3042, pruned_loss=0.08831, over 14029.00 frames. utt_duration=814.9 frames, utt_pad_proportion=0.05132, over 69.00 utterances.], tot_loss[loss=0.3374, simple_loss=0.3889, pruned_loss=0.1429, over 1767180.92 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07072, over 29188.06 utterances.], batch size: 69, lr: 6.47e-04
+2022-09-17 13:14:17,855 INFO [train.py:885] (1/2) Epoch 7, batch 250, loss[loss=0.205, simple_loss=0.2804, pruned_loss=0.06477, over 13178.00 frames. utt_duration=2029 frames, utt_pad_proportion=0.1183, over 26.00 utterances.], tot_loss[loss=0.3404, simple_loss=0.3922, pruned_loss=0.1443, over 1992865.98 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07144, over 33919.36 utterances.], batch size: 26, lr: 6.46e-04
+2022-09-17 13:14:47,749 INFO [train.py:885] (1/2) Epoch 7, batch 300, loss[loss=0.2305, simple_loss=0.2956, pruned_loss=0.08269, over 14008.00 frames. utt_duration=710.9 frames, utt_pad_proportion=0.05846, over 79.00 utterances.], tot_loss[loss=0.3367, simple_loss=0.3896, pruned_loss=0.1419, over 2172440.16 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07078, over 36323.48 utterances.], batch size: 79, lr: 6.46e-04
+2022-09-17 13:15:16,996 INFO [train.py:885] (1/2) Epoch 7, batch 350, loss[loss=0.3725, simple_loss=0.4241, pruned_loss=0.1605, over 14360.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.0353, over 210.00 utterances.], tot_loss[loss=0.3371, simple_loss=0.3889, pruned_loss=0.1427, over 2307790.65 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07182, over 38502.42 utterances.], batch size: 210, lr: 6.46e-04
+2022-09-17 13:15:46,498 INFO [train.py:885] (1/2) Epoch 7, batch 400, loss[loss=0.4659, simple_loss=0.4761, pruned_loss=0.2278, over 14351.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03617, over 210.00 utterances.], tot_loss[loss=0.3374, simple_loss=0.3896, pruned_loss=0.1426, over 2410274.88 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07219, over 40870.00 utterances.], batch size: 210, lr: 6.46e-04
+2022-09-17 13:16:16,274 INFO [train.py:885] (1/2) Epoch 7, batch 450, loss[loss=0.3541, simple_loss=0.4001, pruned_loss=0.154, over 14346.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03463, over 244.00 utterances.], tot_loss[loss=0.337, simple_loss=0.3884, pruned_loss=0.1428, over 2490615.31 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07114, over 41901.32 utterances.], batch size: 244, lr: 6.46e-04
+2022-09-17 13:16:45,442 INFO [train.py:885] (1/2) Epoch 7, batch 500, loss[loss=0.2022, simple_loss=0.2487, pruned_loss=0.07783, over 13497.00 frames. utt_duration=1287 frames, utt_pad_proportion=0.0879, over 42.00 utterances.], tot_loss[loss=0.334, simple_loss=0.3854, pruned_loss=0.1413, over 2552539.00 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07167, over 41643.67 utterances.], batch size: 42, lr: 6.45e-04
+2022-09-17 13:17:16,185 INFO [train.py:885] (1/2) Epoch 7, batch 550, loss[loss=0.3526, simple_loss=0.3946, pruned_loss=0.1553, over 14352.00 frames. utt_duration=443 frames, utt_pad_proportion=0.03484, over 130.00 utterances.], tot_loss[loss=0.3397, simple_loss=0.3904, pruned_loss=0.1445, over 2601257.04 frames. utt_duration=239 frames, utt_pad_proportion=0.07309, over 43811.17 utterances.], batch size: 130, lr: 6.45e-04
+2022-09-17 13:17:45,428 INFO [train.py:885] (1/2) Epoch 7, batch 600, loss[loss=0.3976, simple_loss=0.4293, pruned_loss=0.1829, over 14218.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0438, over 306.00 utterances.], tot_loss[loss=0.3375, simple_loss=0.3888, pruned_loss=0.1431, over 2643241.28 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07205, over 43752.31 utterances.], batch size: 306, lr: 6.45e-04
+2022-09-17 13:18:14,909 INFO [train.py:885] (1/2) Epoch 7, batch 650, loss[loss=0.401, simple_loss=0.4468, pruned_loss=0.1776, over 13999.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.0557, over 365.00 utterances.], tot_loss[loss=0.3362, simple_loss=0.3869, pruned_loss=0.1427, over 2669214.90 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07312, over 43868.93 utterances.], batch size: 365, lr: 6.45e-04
+2022-09-17 13:18:43,795 INFO [train.py:885] (1/2) Epoch 7, batch 700, loss[loss=0.2473, simple_loss=0.3183, pruned_loss=0.08822, over 12812.00 frames. utt_duration=2051 frames, utt_pad_proportion=0.1267, over 25.00 utterances.], tot_loss[loss=0.3335, simple_loss=0.3845, pruned_loss=0.1412, over 2693375.79 frames. utt_duration=248.5 frames, utt_pad_proportion=0.0716, over 43621.04 utterances.], batch size: 25, lr: 6.45e-04
+2022-09-17 13:19:13,942 INFO [train.py:885] (1/2) Epoch 7, batch 750, loss[loss=0.2514, simple_loss=0.2782, pruned_loss=0.1123, over 13675.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08189, over 42.00 utterances.], tot_loss[loss=0.3363, simple_loss=0.388, pruned_loss=0.1424, over 2706524.36 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07453, over 46312.29 utterances.], batch size: 42, lr: 6.44e-04
+2022-09-17 13:19:43,571 INFO [train.py:885] (1/2) Epoch 7, batch 800, loss[loss=0.2238, simple_loss=0.2766, pruned_loss=0.08547, over 13843.00 frames. utt_duration=924.2 frames, utt_pad_proportion=0.06928, over 60.00 utterances.], tot_loss[loss=0.3318, simple_loss=0.3839, pruned_loss=0.1398, over 2722841.23 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07416, over 45310.73 utterances.], batch size: 60, lr: 6.44e-04
+2022-09-17 13:20:12,682 INFO [train.py:885] (1/2) Epoch 7, batch 850, loss[loss=0.3032, simple_loss=0.3465, pruned_loss=0.1299, over 14314.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03877, over 120.00 utterances.], tot_loss[loss=0.3313, simple_loss=0.383, pruned_loss=0.1398, over 2739520.74 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07155, over 44708.71 utterances.], batch size: 120, lr: 6.44e-04
+2022-09-17 13:20:42,461 INFO [train.py:885] (1/2) Epoch 7, batch 900, loss[loss=0.2899, simple_loss=0.3377, pruned_loss=0.121, over 14353.00 frames. utt_duration=479.9 frames, utt_pad_proportion=0.03635, over 120.00 utterances.], tot_loss[loss=0.3328, simple_loss=0.3839, pruned_loss=0.1409, over 2744354.46 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07346, over 44810.63 utterances.], batch size: 120, lr: 6.44e-04
+2022-09-17 13:21:11,894 INFO [train.py:885] (1/2) Epoch 7, batch 950, loss[loss=0.2804, simple_loss=0.3281, pruned_loss=0.1163, over 14194.00 frames. utt_duration=639.4 frames, utt_pad_proportion=0.04714, over 89.00 utterances.], tot_loss[loss=0.3309, simple_loss=0.383, pruned_loss=0.1394, over 2750952.42 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07325, over 44344.53 utterances.], batch size: 89, lr: 6.44e-04
+2022-09-17 13:21:41,996 INFO [train.py:885] (1/2) Epoch 7, batch 1000, loss[loss=0.7137, simple_loss=0.7181, pruned_loss=0.3546, over 12478.00 frames. utt_duration=63.13 frames, utt_pad_proportion=0.1468, over 811.00 utterances.], tot_loss[loss=0.3322, simple_loss=0.384, pruned_loss=0.1402, over 2757388.62 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07351, over 44155.66 utterances.], batch size: 811, lr: 6.43e-04
+2022-09-17 13:22:11,485 INFO [train.py:885] (1/2) Epoch 7, batch 1050, loss[loss=0.3637, simple_loss=0.4077, pruned_loss=0.1598, over 14302.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03914, over 283.00 utterances.], tot_loss[loss=0.3345, simple_loss=0.3865, pruned_loss=0.1412, over 2755556.95 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07585, over 45680.79 utterances.], batch size: 283, lr: 6.43e-04
+2022-09-17 13:22:41,086 INFO [train.py:885] (1/2) Epoch 7, batch 1100, loss[loss=0.2679, simple_loss=0.3227, pruned_loss=0.1066, over 14123.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.05099, over 98.00 utterances.], tot_loss[loss=0.3353, simple_loss=0.3877, pruned_loss=0.1415, over 2764021.37 frames. utt_duration=243 frames, utt_pad_proportion=0.0739, over 45778.58 utterances.], batch size: 98, lr: 6.43e-04
+2022-09-17 13:23:10,367 INFO [train.py:885] (1/2) Epoch 7, batch 1150, loss[loss=0.3621, simple_loss=0.4083, pruned_loss=0.158, over 14338.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03407, over 244.00 utterances.], tot_loss[loss=0.337, simple_loss=0.3891, pruned_loss=0.1424, over 2768825.30 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07259, over 46121.72 utterances.], batch size: 244, lr: 6.43e-04
+2022-09-17 13:23:40,113 INFO [train.py:885] (1/2) Epoch 7, batch 1200, loss[loss=0.3083, simple_loss=0.3535, pruned_loss=0.1316, over 14126.00 frames. utt_duration=519.7 frames, utt_pad_proportion=0.04819, over 109.00 utterances.], tot_loss[loss=0.3361, simple_loss=0.3889, pruned_loss=0.1416, over 2771873.18 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07264, over 46778.22 utterances.], batch size: 109, lr: 6.42e-04
+2022-09-17 13:24:09,259 INFO [train.py:885] (1/2) Epoch 7, batch 1250, loss[loss=0.2711, simple_loss=0.3378, pruned_loss=0.1022, over 14171.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04523, over 109.00 utterances.], tot_loss[loss=0.334, simple_loss=0.3869, pruned_loss=0.1406, over 2778209.22 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07115, over 45924.50 utterances.], batch size: 109, lr: 6.42e-04
+2022-09-17 13:24:39,203 INFO [train.py:885] (1/2) Epoch 7, batch 1300, loss[loss=0.2429, simple_loss=0.2986, pruned_loss=0.09359, over 13608.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08142, over 50.00 utterances.], tot_loss[loss=0.337, simple_loss=0.3895, pruned_loss=0.1423, over 2779718.44 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07144, over 46662.97 utterances.], batch size: 50, lr: 6.42e-04
+2022-09-17 13:25:08,292 INFO [train.py:885] (1/2) Epoch 7, batch 1350, loss[loss=0.2124, simple_loss=0.2779, pruned_loss=0.07344, over 14096.00 frames. utt_duration=715 frames, utt_pad_proportion=0.053, over 79.00 utterances.], tot_loss[loss=0.336, simple_loss=0.3879, pruned_loss=0.1421, over 2779586.95 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07207, over 45885.97 utterances.], batch size: 79, lr: 6.42e-04
+2022-09-17 13:25:37,531 INFO [train.py:885] (1/2) Epoch 7, batch 1400, loss[loss=0.2628, simple_loss=0.2905, pruned_loss=0.1175, over 13028.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.108, over 33.00 utterances.], tot_loss[loss=0.3317, simple_loss=0.3835, pruned_loss=0.14, over 2781947.41 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06919, over 43999.60 utterances.], batch size: 33, lr: 6.42e-04
+2022-09-17 13:26:07,674 INFO [train.py:885] (1/2) Epoch 7, batch 1450, loss[loss=0.4687, simple_loss=0.482, pruned_loss=0.2277, over 14299.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03974, over 283.00 utterances.], tot_loss[loss=0.3358, simple_loss=0.3874, pruned_loss=0.1421, over 2775058.04 frames. utt_duration=239.1 frames, utt_pad_proportion=0.0737, over 46710.52 utterances.], batch size: 283, lr: 6.41e-04
+2022-09-17 13:26:36,915 INFO [train.py:885] (1/2) Epoch 7, batch 1500, loss[loss=0.3496, simple_loss=0.4321, pruned_loss=0.1336, over 13641.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08025, over 477.00 utterances.], tot_loss[loss=0.3347, simple_loss=0.3856, pruned_loss=0.1419, over 2774574.01 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07215, over 45851.24 utterances.], batch size: 477, lr: 6.41e-04
+2022-09-17 13:27:06,742 INFO [train.py:885] (1/2) Epoch 7, batch 1550, loss[loss=0.2961, simple_loss=0.3606, pruned_loss=0.1157, over 14231.00 frames. utt_duration=317.6 frames, utt_pad_proportion=0.04347, over 180.00 utterances.], tot_loss[loss=0.3346, simple_loss=0.3862, pruned_loss=0.1415, over 2771892.89 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07439, over 46256.33 utterances.], batch size: 180, lr: 6.41e-04
+2022-09-17 13:27:35,976 INFO [train.py:885] (1/2) Epoch 7, batch 1600, loss[loss=0.3204, simple_loss=0.3851, pruned_loss=0.1278, over 14321.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03917, over 262.00 utterances.], tot_loss[loss=0.3338, simple_loss=0.386, pruned_loss=0.1408, over 2774647.58 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07367, over 46116.01 utterances.], batch size: 262, lr: 6.41e-04
+2022-09-17 13:28:05,640 INFO [train.py:885] (1/2) Epoch 7, batch 1650, loss[loss=0.4083, simple_loss=0.4753, pruned_loss=0.1707, over 13592.00 frames. utt_duration=98.51 frames, utt_pad_proportion=0.07936, over 560.00 utterances.], tot_loss[loss=0.3334, simple_loss=0.3859, pruned_loss=0.1404, over 2772810.27 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07368, over 46855.19 utterances.], batch size: 560, lr: 6.41e-04
+2022-09-17 13:28:34,851 INFO [train.py:885] (1/2) Epoch 7, batch 1700, loss[loss=0.3303, simple_loss=0.3886, pruned_loss=0.1361, over 14276.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04038, over 180.00 utterances.], tot_loss[loss=0.3349, simple_loss=0.3872, pruned_loss=0.1413, over 2774459.75 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07447, over 47146.90 utterances.], batch size: 180, lr: 6.40e-04
+2022-09-17 13:29:04,727 INFO [train.py:885] (1/2) Epoch 7, batch 1750, loss[loss=0.3582, simple_loss=0.4082, pruned_loss=0.1541, over 14308.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03829, over 180.00 utterances.], tot_loss[loss=0.3389, simple_loss=0.3911, pruned_loss=0.1434, over 2776266.00 frames. utt_duration=229 frames, utt_pad_proportion=0.07509, over 48805.49 utterances.], batch size: 180, lr: 6.40e-04
+2022-09-17 13:29:34,502 INFO [train.py:885] (1/2) Epoch 7, batch 1800, loss[loss=0.4048, simple_loss=0.4661, pruned_loss=0.1717, over 13741.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07326, over 411.00 utterances.], tot_loss[loss=0.3359, simple_loss=0.3885, pruned_loss=0.1417, over 2777789.44 frames. utt_duration=235.1 frames, utt_pad_proportion=0.0743, over 47562.02 utterances.], batch size: 411, lr: 6.40e-04
+2022-09-17 13:30:03,948 INFO [train.py:885] (1/2) Epoch 7, batch 1850, loss[loss=0.3517, simple_loss=0.4059, pruned_loss=0.1488, over 14381.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03125, over 244.00 utterances.], tot_loss[loss=0.3397, simple_loss=0.3909, pruned_loss=0.1442, over 2776765.45 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07596, over 47721.38 utterances.], batch size: 244, lr: 6.40e-04
+2022-09-17 13:30:33,711 INFO [train.py:885] (1/2) Epoch 7, batch 1900, loss[loss=0.3304, simple_loss=0.3894, pruned_loss=0.1357, over 14302.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03934, over 226.00 utterances.], tot_loss[loss=0.3353, simple_loss=0.3868, pruned_loss=0.1419, over 2774462.55 frames. utt_duration=242 frames, utt_pad_proportion=0.0748, over 46144.26 utterances.], batch size: 226, lr: 6.40e-04
+2022-09-17 13:31:02,999 INFO [train.py:885] (1/2) Epoch 7, batch 1950, loss[loss=0.5031, simple_loss=0.5401, pruned_loss=0.233, over 13598.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08337, over 477.00 utterances.], tot_loss[loss=0.3356, simple_loss=0.3865, pruned_loss=0.1424, over 2782973.01 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07104, over 45184.76 utterances.], batch size: 477, lr: 6.39e-04
+2022-09-17 13:31:32,141 INFO [train.py:885] (1/2) Epoch 7, batch 2000, loss[loss=0.2962, simple_loss=0.3561, pruned_loss=0.1182, over 14268.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04432, over 141.00 utterances.], tot_loss[loss=0.3377, simple_loss=0.3889, pruned_loss=0.1432, over 2784382.79 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07146, over 45817.27 utterances.], batch size: 141, lr: 6.39e-04
+2022-09-17 13:32:01,389 INFO [train.py:885] (1/2) Epoch 7, batch 2050, loss[loss=0.2494, simple_loss=0.3191, pruned_loss=0.08981, over 14106.00 frames. utt_duration=577.1 frames, utt_pad_proportion=0.05239, over 98.00 utterances.], tot_loss[loss=0.3366, simple_loss=0.3874, pruned_loss=0.1429, over 2791378.38 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06797, over 44164.49 utterances.], batch size: 98, lr: 6.39e-04
+2022-09-17 13:32:31,096 INFO [train.py:885] (1/2) Epoch 7, batch 2100, loss[loss=0.588, simple_loss=0.628, pruned_loss=0.274, over 12524.00 frames. utt_duration=63.39 frames, utt_pad_proportion=0.1434, over 810.00 utterances.], tot_loss[loss=0.3396, simple_loss=0.391, pruned_loss=0.1441, over 2788379.73 frames. utt_duration=242.9 frames, utt_pad_proportion=0.06993, over 46198.01 utterances.], batch size: 810, lr: 6.39e-04
+2022-09-17 13:33:00,752 INFO [train.py:885] (1/2) Epoch 7, batch 2150, loss[loss=0.4138, simple_loss=0.449, pruned_loss=0.1893, over 14207.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04483, over 335.00 utterances.], tot_loss[loss=0.3407, simple_loss=0.3919, pruned_loss=0.1448, over 2784148.69 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07144, over 47336.70 utterances.], batch size: 335, lr: 6.39e-04
+2022-09-17 13:33:30,222 INFO [train.py:885] (1/2) Epoch 7, batch 2200, loss[loss=0.2367, simple_loss=0.3095, pruned_loss=0.08195, over 14165.00 frames. utt_duration=638.1 frames, utt_pad_proportion=0.04906, over 89.00 utterances.], tot_loss[loss=0.3387, simple_loss=0.3897, pruned_loss=0.1438, over 2782469.34 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07226, over 46487.89 utterances.], batch size: 89, lr: 6.38e-04
+2022-09-17 13:33:59,843 INFO [train.py:885] (1/2) Epoch 7, batch 2250, loss[loss=0.3695, simple_loss=0.4175, pruned_loss=0.1607, over 14279.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04032, over 225.00 utterances.], tot_loss[loss=0.3371, simple_loss=0.3887, pruned_loss=0.1428, over 2781364.99 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07279, over 46195.60 utterances.], batch size: 225, lr: 6.38e-04
+2022-09-17 13:34:28,909 INFO [train.py:885] (1/2) Epoch 7, batch 2300, loss[loss=0.4396, simple_loss=0.5106, pruned_loss=0.1843, over 13186.00 frames. utt_duration=82.3 frames, utt_pad_proportion=0.1054, over 653.00 utterances.], tot_loss[loss=0.3393, simple_loss=0.3903, pruned_loss=0.1441, over 2783211.81 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07189, over 47242.91 utterances.], batch size: 653, lr: 6.38e-04
+2022-09-17 13:34:58,830 INFO [train.py:885] (1/2) Epoch 7, batch 2350, loss[loss=0.3759, simple_loss=0.4134, pruned_loss=0.1692, over 14315.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03962, over 262.00 utterances.], tot_loss[loss=0.3371, simple_loss=0.3884, pruned_loss=0.1429, over 2783594.08 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07054, over 46120.45 utterances.], batch size: 262, lr: 6.38e-04
+2022-09-17 13:35:28,027 INFO [train.py:885] (1/2) Epoch 7, batch 2400, loss[loss=0.4078, simple_loss=0.4417, pruned_loss=0.187, over 14201.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04445, over 306.00 utterances.], tot_loss[loss=0.3373, simple_loss=0.3884, pruned_loss=0.1432, over 2784602.98 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06953, over 45749.42 utterances.], batch size: 306, lr: 6.38e-04
+2022-09-17 13:35:57,956 INFO [train.py:885] (1/2) Epoch 7, batch 2450, loss[loss=0.4164, simple_loss=0.501, pruned_loss=0.1659, over 13154.00 frames. utt_duration=82.1 frames, utt_pad_proportion=0.1076, over 653.00 utterances.], tot_loss[loss=0.3371, simple_loss=0.3885, pruned_loss=0.1429, over 2786101.12 frames. utt_duration=244.2 frames, utt_pad_proportion=0.06921, over 45917.45 utterances.], batch size: 653, lr: 6.37e-04
+2022-09-17 13:36:27,277 INFO [train.py:885] (1/2) Epoch 7, batch 2500, loss[loss=0.3952, simple_loss=0.468, pruned_loss=0.1612, over 13654.00 frames. utt_duration=98.85 frames, utt_pad_proportion=0.0762, over 560.00 utterances.], tot_loss[loss=0.3376, simple_loss=0.3885, pruned_loss=0.1434, over 2783390.09 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06989, over 45029.52 utterances.], batch size: 560, lr: 6.37e-04
+2022-09-17 13:36:56,989 INFO [train.py:885] (1/2) Epoch 7, batch 2550, loss[loss=0.2216, simple_loss=0.2839, pruned_loss=0.07963, over 13482.00 frames. utt_duration=1286 frames, utt_pad_proportion=0.08765, over 42.00 utterances.], tot_loss[loss=0.3354, simple_loss=0.3868, pruned_loss=0.1421, over 2781922.96 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06885, over 44659.14 utterances.], batch size: 42, lr: 6.37e-04
+2022-09-17 13:37:26,109 INFO [train.py:885] (1/2) Epoch 7, batch 2600, loss[loss=0.2316, simple_loss=0.2989, pruned_loss=0.08215, over 13892.00 frames. utt_duration=806.8 frames, utt_pad_proportion=0.06079, over 69.00 utterances.], tot_loss[loss=0.3352, simple_loss=0.386, pruned_loss=0.1421, over 2782540.40 frames. utt_duration=255 frames, utt_pad_proportion=0.06947, over 43899.44 utterances.], batch size: 69, lr: 6.37e-04
+2022-09-17 13:37:55,251 INFO [train.py:885] (1/2) Epoch 7, batch 2650, loss[loss=0.6143, simple_loss=0.6594, pruned_loss=0.2846, over 12335.00 frames. utt_duration=62.55 frames, utt_pad_proportion=0.1548, over 810.00 utterances.], tot_loss[loss=0.3306, simple_loss=0.3822, pruned_loss=0.1395, over 2783335.67 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06968, over 43297.63 utterances.], batch size: 810, lr: 6.37e-04
+2022-09-17 13:38:25,012 INFO [train.py:885] (1/2) Epoch 7, batch 2700, loss[loss=0.3533, simple_loss=0.4007, pruned_loss=0.153, over 14283.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.04217, over 154.00 utterances.], tot_loss[loss=0.3293, simple_loss=0.3808, pruned_loss=0.1389, over 2777604.46 frames. utt_duration=255.8 frames, utt_pad_proportion=0.07199, over 43684.97 utterances.], batch size: 154, lr: 6.36e-04
+2022-09-17 13:38:54,094 INFO [train.py:885] (1/2) Epoch 7, batch 2750, loss[loss=0.3397, simple_loss=0.4177, pruned_loss=0.1308, over 13968.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05839, over 365.00 utterances.], tot_loss[loss=0.3331, simple_loss=0.3844, pruned_loss=0.1409, over 2777414.17 frames. utt_duration=251 frames, utt_pad_proportion=0.07297, over 44519.68 utterances.], batch size: 365, lr: 6.36e-04
+2022-09-17 13:39:24,088 INFO [train.py:885] (1/2) Epoch 7, batch 2800, loss[loss=0.2899, simple_loss=0.3537, pruned_loss=0.1131, over 14322.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03906, over 130.00 utterances.], tot_loss[loss=0.3353, simple_loss=0.3865, pruned_loss=0.142, over 2773339.75 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07585, over 45788.67 utterances.], batch size: 130, lr: 6.36e-04
+2022-09-17 13:39:53,530 INFO [train.py:885] (1/2) Epoch 7, batch 2850, loss[loss=0.3793, simple_loss=0.4307, pruned_loss=0.1639, over 14203.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04463, over 306.00 utterances.], tot_loss[loss=0.3314, simple_loss=0.3832, pruned_loss=0.1398, over 2776596.65 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07321, over 44377.69 utterances.], batch size: 306, lr: 6.36e-04
+2022-09-17 13:40:22,898 INFO [train.py:885] (1/2) Epoch 7, batch 2900, loss[loss=0.3815, simple_loss=0.4483, pruned_loss=0.1574, over 13964.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05845, over 365.00 utterances.], tot_loss[loss=0.3288, simple_loss=0.38, pruned_loss=0.1388, over 2781790.43 frames. utt_duration=263.9 frames, utt_pad_proportion=0.06935, over 42402.05 utterances.], batch size: 365, lr: 6.36e-04
+2022-09-17 13:40:52,292 INFO [train.py:885] (1/2) Epoch 7, batch 2950, loss[loss=0.2141, simple_loss=0.2677, pruned_loss=0.08025, over 13240.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1096, over 33.00 utterances.], tot_loss[loss=0.3258, simple_loss=0.3776, pruned_loss=0.137, over 2781625.56 frames. utt_duration=267.5 frames, utt_pad_proportion=0.06918, over 41824.59 utterances.], batch size: 33, lr: 6.35e-04
+2022-09-17 13:41:22,499 INFO [train.py:885] (1/2) Epoch 7, batch 3000, loss[loss=0.3112, simple_loss=0.3521, pruned_loss=0.1351, over 14178.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04429, over 109.00 utterances.], tot_loss[loss=0.3289, simple_loss=0.3803, pruned_loss=0.1388, over 2783073.43 frames. utt_duration=262.4 frames, utt_pad_proportion=0.07007, over 42659.11 utterances.], batch size: 109, lr: 6.35e-04
+2022-09-17 13:41:22,500 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 13:41:26,807 INFO [train.py:914] (1/2) Epoch 7, validation: loss=0.2154, simple_loss=0.2906, pruned_loss=0.07012, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 13:41:56,491 INFO [train.py:885] (1/2) Epoch 7, batch 3050, loss[loss=0.3304, simple_loss=0.3676, pruned_loss=0.1466, over 14189.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04364, over 109.00 utterances.], tot_loss[loss=0.3316, simple_loss=0.3825, pruned_loss=0.1404, over 2779812.69 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06973, over 43412.87 utterances.], batch size: 109, lr: 6.35e-04
+2022-09-17 13:42:25,770 INFO [train.py:885] (1/2) Epoch 7, batch 3100, loss[loss=0.4138, simple_loss=0.4468, pruned_loss=0.1904, over 14244.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04246, over 335.00 utterances.], tot_loss[loss=0.3335, simple_loss=0.3847, pruned_loss=0.1412, over 2783176.06 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06844, over 44210.42 utterances.], batch size: 335, lr: 6.35e-04
+2022-09-17 13:42:55,471 INFO [train.py:885] (1/2) Epoch 7, batch 3150, loss[loss=0.5917, simple_loss=0.6231, pruned_loss=0.2802, over 13178.00 frames. utt_duration=82.28 frames, utt_pad_proportion=0.1057, over 653.00 utterances.], tot_loss[loss=0.3351, simple_loss=0.3862, pruned_loss=0.142, over 2783745.96 frames. utt_duration=249 frames, utt_pad_proportion=0.07044, over 44978.35 utterances.], batch size: 653, lr: 6.35e-04
+2022-09-17 13:43:24,847 INFO [train.py:885] (1/2) Epoch 7, batch 3200, loss[loss=0.2745, simple_loss=0.3461, pruned_loss=0.1014, over 14293.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.04255, over 141.00 utterances.], tot_loss[loss=0.3292, simple_loss=0.381, pruned_loss=0.1387, over 2782200.72 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06886, over 43935.20 utterances.], batch size: 141, lr: 6.34e-04
+2022-09-17 13:43:54,296 INFO [train.py:885] (1/2) Epoch 7, batch 3250, loss[loss=0.1627, simple_loss=0.1985, pruned_loss=0.06344, over 13399.00 frames. utt_duration=1625 frames, utt_pad_proportion=0.09089, over 33.00 utterances.], tot_loss[loss=0.3265, simple_loss=0.3788, pruned_loss=0.1371, over 2784198.54 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06841, over 43398.42 utterances.], batch size: 33, lr: 6.34e-04
+2022-09-17 13:44:24,379 INFO [train.py:885] (1/2) Epoch 7, batch 3300, loss[loss=0.221, simple_loss=0.2804, pruned_loss=0.08085, over 13777.00 frames. utt_duration=920 frames, utt_pad_proportion=0.07541, over 60.00 utterances.], tot_loss[loss=0.3227, simple_loss=0.375, pruned_loss=0.1351, over 2785474.51 frames. utt_duration=271.6 frames, utt_pad_proportion=0.06576, over 41245.38 utterances.], batch size: 60, lr: 6.34e-04
+2022-09-17 13:44:53,735 INFO [train.py:885] (1/2) Epoch 7, batch 3350, loss[loss=0.2885, simple_loss=0.3455, pruned_loss=0.1157, over 14317.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03881, over 120.00 utterances.], tot_loss[loss=0.3246, simple_loss=0.3772, pruned_loss=0.136, over 2788291.94 frames. utt_duration=264.4 frames, utt_pad_proportion=0.06604, over 42422.79 utterances.], batch size: 120, lr: 6.34e-04
+2022-09-17 13:45:23,528 INFO [train.py:885] (1/2) Epoch 7, batch 3400, loss[loss=0.2856, simple_loss=0.3151, pruned_loss=0.128, over 12102.00 frames. utt_duration=2018 frames, utt_pad_proportion=0.1621, over 24.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.3772, pruned_loss=0.1355, over 2786545.15 frames. utt_duration=262.7 frames, utt_pad_proportion=0.06626, over 42666.91 utterances.], batch size: 24, lr: 6.34e-04
+2022-09-17 13:45:52,999 INFO [train.py:885] (1/2) Epoch 7, batch 3450, loss[loss=0.3468, simple_loss=0.4187, pruned_loss=0.1374, over 13954.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05897, over 365.00 utterances.], tot_loss[loss=0.3252, simple_loss=0.3781, pruned_loss=0.1361, over 2783807.81 frames. utt_duration=258 frames, utt_pad_proportion=0.0668, over 43411.06 utterances.], batch size: 365, lr: 6.33e-04
+2022-09-17 13:46:22,894 INFO [train.py:885] (1/2) Epoch 7, batch 3500, loss[loss=0.4645, simple_loss=0.5274, pruned_loss=0.2007, over 13613.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.0779, over 560.00 utterances.], tot_loss[loss=0.324, simple_loss=0.3769, pruned_loss=0.1356, over 2783673.89 frames. utt_duration=261.4 frames, utt_pad_proportion=0.06619, over 42833.80 utterances.], batch size: 560, lr: 6.33e-04
+2022-09-17 13:46:52,332 INFO [train.py:885] (1/2) Epoch 7, batch 3550, loss[loss=0.1837, simple_loss=0.2193, pruned_loss=0.07402, over 12471.00 frames. utt_duration=2080 frames, utt_pad_proportion=0.1608, over 24.00 utterances.], tot_loss[loss=0.3244, simple_loss=0.3765, pruned_loss=0.1362, over 2781230.81 frames. utt_duration=265.8 frames, utt_pad_proportion=0.06777, over 42091.19 utterances.], batch size: 24, lr: 6.33e-04
+2022-09-17 13:47:22,052 INFO [train.py:885] (1/2) Epoch 7, batch 3600, loss[loss=0.2597, simple_loss=0.3124, pruned_loss=0.1035, over 14127.00 frames. utt_duration=636.3 frames, utt_pad_proportion=0.05173, over 89.00 utterances.], tot_loss[loss=0.3269, simple_loss=0.379, pruned_loss=0.1373, over 2785302.45 frames. utt_duration=260.2 frames, utt_pad_proportion=0.06728, over 43059.66 utterances.], batch size: 89, lr: 6.33e-04
+2022-09-17 13:47:51,429 INFO [train.py:885] (1/2) Epoch 7, batch 3650, loss[loss=0.4022, simple_loss=0.4165, pruned_loss=0.194, over 14167.00 frames. utt_duration=521.5 frames, utt_pad_proportion=0.04493, over 109.00 utterances.], tot_loss[loss=0.3259, simple_loss=0.3788, pruned_loss=0.1365, over 2779902.68 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06997, over 43840.42 utterances.], batch size: 109, lr: 6.33e-04
+2022-09-17 13:48:21,091 INFO [train.py:885] (1/2) Epoch 7, batch 3700, loss[loss=0.2664, simple_loss=0.318, pruned_loss=0.1074, over 14069.00 frames. utt_duration=713.7 frames, utt_pad_proportion=0.05466, over 79.00 utterances.], tot_loss[loss=0.3288, simple_loss=0.3821, pruned_loss=0.1378, over 2780156.54 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07094, over 45677.05 utterances.], batch size: 79, lr: 6.32e-04
+2022-09-17 13:48:51,179 INFO [train.py:885] (1/2) Epoch 7, batch 3750, loss[loss=0.3429, simple_loss=0.4199, pruned_loss=0.1329, over 14002.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.0561, over 365.00 utterances.], tot_loss[loss=0.3315, simple_loss=0.3844, pruned_loss=0.1393, over 2777976.24 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07261, over 46357.44 utterances.], batch size: 365, lr: 6.32e-04
+2022-09-17 13:49:20,383 INFO [train.py:885] (1/2) Epoch 7, batch 3800, loss[loss=0.292, simple_loss=0.3514, pruned_loss=0.1163, over 14301.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.042, over 167.00 utterances.], tot_loss[loss=0.335, simple_loss=0.3875, pruned_loss=0.1413, over 2782270.18 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07284, over 47188.46 utterances.], batch size: 167, lr: 6.32e-04
+2022-09-17 13:49:50,382 INFO [train.py:885] (1/2) Epoch 7, batch 3850, loss[loss=0.3519, simple_loss=0.3963, pruned_loss=0.1538, over 14395.00 frames. utt_duration=296.7 frames, utt_pad_proportion=0.03358, over 195.00 utterances.], tot_loss[loss=0.3338, simple_loss=0.3864, pruned_loss=0.1406, over 2777140.56 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07421, over 47654.37 utterances.], batch size: 195, lr: 6.32e-04
+2022-09-17 13:50:20,153 INFO [train.py:885] (1/2) Epoch 7, batch 3900, loss[loss=0.6166, simple_loss=0.6555, pruned_loss=0.2889, over 12438.00 frames. utt_duration=63.02 frames, utt_pad_proportion=0.1484, over 810.00 utterances.], tot_loss[loss=0.3347, simple_loss=0.3872, pruned_loss=0.1411, over 2776372.10 frames. utt_duration=234 frames, utt_pad_proportion=0.07564, over 47758.25 utterances.], batch size: 810, lr: 6.32e-04
+2022-09-17 13:50:49,198 INFO [train.py:885] (1/2) Epoch 7, batch 3950, loss[loss=0.2586, simple_loss=0.3015, pruned_loss=0.1079, over 13319.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.08969, over 41.00 utterances.], tot_loss[loss=0.3333, simple_loss=0.3861, pruned_loss=0.1403, over 2778778.62 frames. utt_duration=237 frames, utt_pad_proportion=0.07378, over 47186.06 utterances.], batch size: 41, lr: 6.31e-04
+2022-09-17 13:51:18,508 INFO [train.py:885] (1/2) Epoch 7, batch 4000, loss[loss=0.7137, simple_loss=0.7151, pruned_loss=0.3562, over 12451.00 frames. utt_duration=63.03 frames, utt_pad_proportion=0.1482, over 810.00 utterances.], tot_loss[loss=0.3294, simple_loss=0.3818, pruned_loss=0.1385, over 2778106.75 frames. utt_duration=247.1 frames, utt_pad_proportion=0.0723, over 45238.81 utterances.], batch size: 810, lr: 6.31e-04
+2022-09-17 13:51:48,675 INFO [train.py:885] (1/2) Epoch 7, batch 4050, loss[loss=0.3203, simple_loss=0.3737, pruned_loss=0.1335, over 14165.00 frames. utt_duration=403.2 frames, utt_pad_proportion=0.05118, over 141.00 utterances.], tot_loss[loss=0.3284, simple_loss=0.3801, pruned_loss=0.1384, over 2781038.47 frames. utt_duration=255.6 frames, utt_pad_proportion=0.07321, over 43770.44 utterances.], batch size: 141, lr: 6.31e-04
+2022-09-17 13:52:18,357 INFO [train.py:885] (1/2) Epoch 7, batch 4100, loss[loss=0.3096, simple_loss=0.3737, pruned_loss=0.1227, over 14379.00 frames. utt_duration=296.5 frames, utt_pad_proportion=0.03423, over 195.00 utterances.], tot_loss[loss=0.3347, simple_loss=0.3856, pruned_loss=0.1419, over 2780301.96 frames. utt_duration=246.1 frames, utt_pad_proportion=0.0727, over 45469.62 utterances.], batch size: 195, lr: 6.31e-04
+2022-09-17 13:52:47,341 INFO [train.py:885] (1/2) Epoch 7, batch 4150, loss[loss=0.3984, simple_loss=0.4306, pruned_loss=0.183, over 14347.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03626, over 195.00 utterances.], tot_loss[loss=0.337, simple_loss=0.3879, pruned_loss=0.143, over 2783344.52 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07183, over 46542.55 utterances.], batch size: 195, lr: 6.31e-04
+2022-09-17 13:53:17,221 INFO [train.py:885] (1/2) Epoch 7, batch 4200, loss[loss=0.2299, simple_loss=0.2879, pruned_loss=0.08593, over 13827.00 frames. utt_duration=923.5 frames, utt_pad_proportion=0.06904, over 60.00 utterances.], tot_loss[loss=0.3346, simple_loss=0.3859, pruned_loss=0.1417, over 2784345.42 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07061, over 45373.68 utterances.], batch size: 60, lr: 6.30e-04
+2022-09-17 13:53:46,190 INFO [train.py:885] (1/2) Epoch 7, batch 4250, loss[loss=0.3654, simple_loss=0.4064, pruned_loss=0.1622, over 14289.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03919, over 180.00 utterances.], tot_loss[loss=0.337, simple_loss=0.3882, pruned_loss=0.1429, over 2785291.60 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07087, over 46390.59 utterances.], batch size: 180, lr: 6.30e-04
+2022-09-17 13:54:16,422 INFO [train.py:885] (1/2) Epoch 7, batch 4300, loss[loss=0.2013, simple_loss=0.2479, pruned_loss=0.07732, over 13425.00 frames. utt_duration=1076 frames, utt_pad_proportion=0.09676, over 50.00 utterances.], tot_loss[loss=0.3339, simple_loss=0.3857, pruned_loss=0.1411, over 2783184.98 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07131, over 45787.40 utterances.], batch size: 50, lr: 6.30e-04
+2022-09-17 13:54:45,807 INFO [train.py:885] (1/2) Epoch 7, batch 4350, loss[loss=0.3329, simple_loss=0.3751, pruned_loss=0.1454, over 14287.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03969, over 180.00 utterances.], tot_loss[loss=0.3384, simple_loss=0.3896, pruned_loss=0.1436, over 2783165.92 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07322, over 47297.56 utterances.], batch size: 180, lr: 6.30e-04
+2022-09-17 13:55:15,496 INFO [train.py:885] (1/2) Epoch 7, batch 4400, loss[loss=0.3413, simple_loss=0.4307, pruned_loss=0.126, over 13633.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08115, over 477.00 utterances.], tot_loss[loss=0.3354, simple_loss=0.3869, pruned_loss=0.1419, over 2786987.00 frames. utt_duration=244 frames, utt_pad_proportion=0.07184, over 45965.33 utterances.], batch size: 477, lr: 6.30e-04
+2022-09-17 13:55:45,006 INFO [train.py:885] (1/2) Epoch 7, batch 4450, loss[loss=0.3401, simple_loss=0.3998, pruned_loss=0.1402, over 14331.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03838, over 262.00 utterances.], tot_loss[loss=0.3399, simple_loss=0.3909, pruned_loss=0.1445, over 2789820.87 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07088, over 47043.59 utterances.], batch size: 262, lr: 6.29e-04
+2022-09-17 13:56:14,348 INFO [train.py:885] (1/2) Epoch 7, batch 4500, loss[loss=0.3052, simple_loss=0.3745, pruned_loss=0.118, over 14351.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03606, over 210.00 utterances.], tot_loss[loss=0.3356, simple_loss=0.3868, pruned_loss=0.1422, over 2788263.93 frames. utt_duration=245.5 frames, utt_pad_proportion=0.0708, over 45703.65 utterances.], batch size: 210, lr: 6.29e-04
+2022-09-17 13:56:44,769 INFO [train.py:885] (1/2) Epoch 7, batch 4550, loss[loss=0.3538, simple_loss=0.4272, pruned_loss=0.1402, over 14011.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05699, over 366.00 utterances.], tot_loss[loss=0.3357, simple_loss=0.3874, pruned_loss=0.142, over 2782016.93 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07085, over 46029.25 utterances.], batch size: 366, lr: 6.29e-04
+2022-09-17 13:57:13,512 INFO [train.py:885] (1/2) Epoch 7, batch 4600, loss[loss=0.1983, simple_loss=0.2559, pruned_loss=0.0704, over 13032.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.1118, over 33.00 utterances.], tot_loss[loss=0.3323, simple_loss=0.3839, pruned_loss=0.1403, over 2783394.11 frames. utt_duration=249.6 frames, utt_pad_proportion=0.0705, over 44868.84 utterances.], batch size: 33, lr: 6.29e-04
+2022-09-17 13:57:42,705 INFO [train.py:885] (1/2) Epoch 7, batch 4650, loss[loss=0.4215, simple_loss=0.4409, pruned_loss=0.201, over 14320.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03859, over 283.00 utterances.], tot_loss[loss=0.3342, simple_loss=0.3858, pruned_loss=0.1413, over 2784498.88 frames. utt_duration=245.6 frames, utt_pad_proportion=0.06976, over 45617.12 utterances.], batch size: 283, lr: 6.29e-04
+2022-09-17 13:58:12,279 INFO [train.py:885] (1/2) Epoch 7, batch 4700, loss[loss=0.2756, simple_loss=0.3372, pruned_loss=0.107, over 14047.00 frames. utt_duration=574.8 frames, utt_pad_proportion=0.05769, over 98.00 utterances.], tot_loss[loss=0.3366, simple_loss=0.3886, pruned_loss=0.1423, over 2786554.13 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07048, over 46636.02 utterances.], batch size: 98, lr: 6.28e-04
+2022-09-17 13:58:41,672 INFO [train.py:885] (1/2) Epoch 7, batch 4750, loss[loss=0.2173, simple_loss=0.284, pruned_loss=0.07529, over 14071.00 frames. utt_duration=575.9 frames, utt_pad_proportion=0.05429, over 98.00 utterances.], tot_loss[loss=0.3374, simple_loss=0.3892, pruned_loss=0.1428, over 2781815.04 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07181, over 46666.38 utterances.], batch size: 98, lr: 6.28e-04
+2022-09-17 13:59:11,800 INFO [train.py:885] (1/2) Epoch 7, batch 4800, loss[loss=0.3794, simple_loss=0.4169, pruned_loss=0.1709, over 14308.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03905, over 283.00 utterances.], tot_loss[loss=0.3367, simple_loss=0.3885, pruned_loss=0.1424, over 2780770.77 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07153, over 46315.43 utterances.], batch size: 283, lr: 6.28e-04
+2022-09-17 13:59:41,388 INFO [train.py:885] (1/2) Epoch 7, batch 4850, loss[loss=0.2095, simple_loss=0.2668, pruned_loss=0.07613, over 12678.00 frames. utt_duration=2030 frames, utt_pad_proportion=0.1492, over 25.00 utterances.], tot_loss[loss=0.3321, simple_loss=0.3844, pruned_loss=0.1399, over 2779500.83 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07149, over 45165.79 utterances.], batch size: 25, lr: 6.28e-04
+2022-09-17 14:00:10,267 INFO [train.py:885] (1/2) Epoch 7, batch 4900, loss[loss=0.3851, simple_loss=0.4049, pruned_loss=0.1827, over 14262.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04249, over 141.00 utterances.], tot_loss[loss=0.3321, simple_loss=0.3844, pruned_loss=0.1399, over 2782332.90 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07076, over 44469.38 utterances.], batch size: 141, lr: 6.28e-04
+2022-09-17 14:00:40,529 INFO [train.py:885] (1/2) Epoch 7, batch 4950, loss[loss=0.3579, simple_loss=0.4136, pruned_loss=0.1511, over 14362.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03351, over 244.00 utterances.], tot_loss[loss=0.3317, simple_loss=0.384, pruned_loss=0.1397, over 2777699.79 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07228, over 44939.28 utterances.], batch size: 244, lr: 6.27e-04
+2022-09-17 14:01:09,639 INFO [train.py:885] (1/2) Epoch 7, batch 5000, loss[loss=0.6502, simple_loss=0.6824, pruned_loss=0.309, over 12487.00 frames. utt_duration=63.16 frames, utt_pad_proportion=0.1465, over 810.00 utterances.], tot_loss[loss=0.3305, simple_loss=0.383, pruned_loss=0.139, over 2780358.97 frames. utt_duration=251.8 frames, utt_pad_proportion=0.0716, over 44423.36 utterances.], batch size: 810, lr: 6.27e-04
+2022-09-17 14:01:39,498 INFO [train.py:885] (1/2) Epoch 7, batch 5050, loss[loss=0.4645, simple_loss=0.5292, pruned_loss=0.1999, over 13126.00 frames. utt_duration=81.96 frames, utt_pad_proportion=0.1091, over 653.00 utterances.], tot_loss[loss=0.3261, simple_loss=0.3797, pruned_loss=0.1362, over 2781232.10 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07033, over 44203.72 utterances.], batch size: 653, lr: 6.27e-04
+2022-09-17 14:02:08,495 INFO [train.py:885] (1/2) Epoch 7, batch 5100, loss[loss=0.3836, simple_loss=0.4239, pruned_loss=0.1717, over 14296.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03916, over 225.00 utterances.], tot_loss[loss=0.3251, simple_loss=0.3784, pruned_loss=0.1359, over 2786647.06 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06775, over 43395.66 utterances.], batch size: 225, lr: 6.27e-04
+2022-09-17 14:02:38,730 INFO [train.py:885] (1/2) Epoch 7, batch 5150, loss[loss=0.4046, simple_loss=0.4347, pruned_loss=0.1872, over 14278.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.0414, over 262.00 utterances.], tot_loss[loss=0.3284, simple_loss=0.3809, pruned_loss=0.1379, over 2787627.70 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06859, over 44086.77 utterances.], batch size: 262, lr: 6.27e-04
+2022-09-17 14:03:08,255 INFO [train.py:885] (1/2) Epoch 7, batch 5200, loss[loss=0.3914, simple_loss=0.4181, pruned_loss=0.1823, over 14206.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04623, over 141.00 utterances.], tot_loss[loss=0.3297, simple_loss=0.3819, pruned_loss=0.1388, over 2786091.33 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06851, over 44264.51 utterances.], batch size: 141, lr: 6.26e-04
+2022-09-17 14:03:37,849 INFO [train.py:885] (1/2) Epoch 7, batch 5250, loss[loss=0.3487, simple_loss=0.3914, pruned_loss=0.1529, over 14237.00 frames. utt_duration=317.9 frames, utt_pad_proportion=0.04252, over 180.00 utterances.], tot_loss[loss=0.326, simple_loss=0.3784, pruned_loss=0.1368, over 2787420.89 frames. utt_duration=258.5 frames, utt_pad_proportion=0.06638, over 43378.22 utterances.], batch size: 180, lr: 6.26e-04
+2022-09-17 14:04:06,798 INFO [train.py:885] (1/2) Epoch 7, batch 5300, loss[loss=0.4805, simple_loss=0.5317, pruned_loss=0.2146, over 13624.00 frames. utt_duration=98.64 frames, utt_pad_proportion=0.07817, over 560.00 utterances.], tot_loss[loss=0.3281, simple_loss=0.3808, pruned_loss=0.1377, over 2785075.73 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06847, over 44481.55 utterances.], batch size: 560, lr: 6.26e-04
+2022-09-17 14:04:36,580 INFO [train.py:885] (1/2) Epoch 7, batch 5350, loss[loss=0.1792, simple_loss=0.2377, pruned_loss=0.06034, over 13203.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1043, over 33.00 utterances.], tot_loss[loss=0.3264, simple_loss=0.38, pruned_loss=0.1364, over 2782566.64 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07074, over 45167.79 utterances.], batch size: 33, lr: 6.26e-04
+2022-09-17 14:05:05,910 INFO [train.py:885] (1/2) Epoch 7, batch 5400, loss[loss=0.353, simple_loss=0.4041, pruned_loss=0.151, over 14303.00 frames. utt_duration=273.8 frames, utt_pad_proportion=0.03921, over 210.00 utterances.], tot_loss[loss=0.3282, simple_loss=0.381, pruned_loss=0.1377, over 2779927.96 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07024, over 44965.47 utterances.], batch size: 210, lr: 6.26e-04
+2022-09-17 14:05:35,948 INFO [train.py:885] (1/2) Epoch 7, batch 5450, loss[loss=0.3888, simple_loss=0.4298, pruned_loss=0.1739, over 14344.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03666, over 210.00 utterances.], tot_loss[loss=0.3309, simple_loss=0.383, pruned_loss=0.1394, over 2780095.23 frames. utt_duration=248 frames, utt_pad_proportion=0.07075, over 45116.25 utterances.], batch size: 210, lr: 6.26e-04
+2022-09-17 14:06:05,745 INFO [train.py:885] (1/2) Epoch 7, batch 5500, loss[loss=0.3353, simple_loss=0.4138, pruned_loss=0.1284, over 13770.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07423, over 412.00 utterances.], tot_loss[loss=0.3334, simple_loss=0.3847, pruned_loss=0.141, over 2778554.86 frames. utt_duration=246.1 frames, utt_pad_proportion=0.0706, over 45428.93 utterances.], batch size: 412, lr: 6.25e-04
+2022-09-17 14:06:34,667 INFO [train.py:885] (1/2) Epoch 7, batch 5550, loss[loss=0.3595, simple_loss=0.4067, pruned_loss=0.1561, over 14330.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03963, over 167.00 utterances.], tot_loss[loss=0.3337, simple_loss=0.3841, pruned_loss=0.1416, over 2788031.50 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06739, over 43859.77 utterances.], batch size: 167, lr: 6.25e-04
+2022-09-17 14:07:04,175 INFO [train.py:885] (1/2) Epoch 7, batch 5600, loss[loss=0.222, simple_loss=0.2992, pruned_loss=0.07236, over 13250.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.09512, over 41.00 utterances.], tot_loss[loss=0.3325, simple_loss=0.3829, pruned_loss=0.1411, over 2781546.77 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06892, over 43482.55 utterances.], batch size: 41, lr: 6.25e-04
+2022-09-17 14:07:33,799 INFO [train.py:885] (1/2) Epoch 7, batch 5650, loss[loss=0.4204, simple_loss=0.4515, pruned_loss=0.1947, over 14193.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04517, over 306.00 utterances.], tot_loss[loss=0.3363, simple_loss=0.3871, pruned_loss=0.1428, over 2781966.29 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07036, over 46192.63 utterances.], batch size: 306, lr: 6.25e-04
+2022-09-17 14:08:04,499 INFO [train.py:885] (1/2) Epoch 7, batch 5700, loss[loss=0.2957, simple_loss=0.3569, pruned_loss=0.1172, over 14315.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04073, over 167.00 utterances.], tot_loss[loss=0.338, simple_loss=0.3888, pruned_loss=0.1436, over 2779201.08 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07222, over 47046.05 utterances.], batch size: 167, lr: 6.25e-04
+2022-09-17 14:08:32,862 INFO [train.py:885] (1/2) Epoch 7, batch 5750, loss[loss=0.3401, simple_loss=0.4217, pruned_loss=0.1292, over 13792.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06969, over 411.00 utterances.], tot_loss[loss=0.335, simple_loss=0.387, pruned_loss=0.1415, over 2780680.84 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07283, over 46723.51 utterances.], batch size: 411, lr: 6.24e-04
+2022-09-17 14:09:02,289 INFO [train.py:885] (1/2) Epoch 7, batch 5800, loss[loss=0.3408, simple_loss=0.3994, pruned_loss=0.1411, over 14364.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03497, over 210.00 utterances.], tot_loss[loss=0.3356, simple_loss=0.3864, pruned_loss=0.1424, over 2779649.66 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07286, over 46180.05 utterances.], batch size: 210, lr: 6.24e-04
+2022-09-17 14:09:32,420 INFO [train.py:885] (1/2) Epoch 7, batch 5850, loss[loss=0.2351, simple_loss=0.2631, pruned_loss=0.1036, over 13691.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07535, over 50.00 utterances.], tot_loss[loss=0.3297, simple_loss=0.3807, pruned_loss=0.1393, over 2783426.46 frames. utt_duration=256 frames, utt_pad_proportion=0.06989, over 43753.13 utterances.], batch size: 50, lr: 6.24e-04
+2022-09-17 14:10:02,199 INFO [train.py:885] (1/2) Epoch 7, batch 5900, loss[loss=0.2797, simple_loss=0.3405, pruned_loss=0.1094, over 14267.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04267, over 141.00 utterances.], tot_loss[loss=0.3336, simple_loss=0.3848, pruned_loss=0.1413, over 2782698.50 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07205, over 45535.97 utterances.], batch size: 141, lr: 6.24e-04
+2022-09-17 14:10:31,370 INFO [train.py:885] (1/2) Epoch 7, batch 5950, loss[loss=0.2902, simple_loss=0.3432, pruned_loss=0.1186, over 14299.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04046, over 120.00 utterances.], tot_loss[loss=0.3321, simple_loss=0.3839, pruned_loss=0.1402, over 2784823.70 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07108, over 45685.29 utterances.], batch size: 120, lr: 6.24e-04
+2022-09-17 14:11:01,143 INFO [train.py:885] (1/2) Epoch 7, batch 6000, loss[loss=0.2542, simple_loss=0.32, pruned_loss=0.09422, over 14090.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05161, over 98.00 utterances.], tot_loss[loss=0.3287, simple_loss=0.3812, pruned_loss=0.1381, over 2780768.46 frames. utt_duration=249.5 frames, utt_pad_proportion=0.0716, over 44840.08 utterances.], batch size: 98, lr: 6.23e-04
+2022-09-17 14:11:01,144 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 14:11:05,882 INFO [train.py:914] (1/2) Epoch 7, validation: loss=0.217, simple_loss=0.2925, pruned_loss=0.07079, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 14:11:35,653 INFO [train.py:885] (1/2) Epoch 7, batch 6050, loss[loss=0.214, simple_loss=0.2753, pruned_loss=0.07634, over 13806.00 frames. utt_duration=921.9 frames, utt_pad_proportion=0.07436, over 60.00 utterances.], tot_loss[loss=0.3281, simple_loss=0.3805, pruned_loss=0.1379, over 2778997.45 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07243, over 44712.02 utterances.], batch size: 60, lr: 6.23e-04
+2022-09-17 14:12:04,719 INFO [train.py:885] (1/2) Epoch 7, batch 6100, loss[loss=0.3615, simple_loss=0.4093, pruned_loss=0.1569, over 14357.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.0353, over 195.00 utterances.], tot_loss[loss=0.3308, simple_loss=0.3829, pruned_loss=0.1393, over 2785344.21 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06957, over 45097.57 utterances.], batch size: 195, lr: 6.23e-04
+2022-09-17 14:12:34,590 INFO [train.py:885] (1/2) Epoch 7, batch 6150, loss[loss=0.3087, simple_loss=0.3543, pruned_loss=0.1316, over 14129.00 frames. utt_duration=520 frames, utt_pad_proportion=0.04755, over 109.00 utterances.], tot_loss[loss=0.3338, simple_loss=0.386, pruned_loss=0.1408, over 2781848.26 frames. utt_duration=242 frames, utt_pad_proportion=0.07103, over 46260.80 utterances.], batch size: 109, lr: 6.23e-04
+2022-09-17 14:13:03,892 INFO [train.py:885] (1/2) Epoch 7, batch 6200, loss[loss=0.3347, simple_loss=0.4243, pruned_loss=0.1225, over 13660.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08091, over 478.00 utterances.], tot_loss[loss=0.3312, simple_loss=0.384, pruned_loss=0.1392, over 2779206.29 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07206, over 45824.01 utterances.], batch size: 478, lr: 6.23e-04
+2022-09-17 14:13:33,777 INFO [train.py:885] (1/2) Epoch 7, batch 6250, loss[loss=0.339, simple_loss=0.4012, pruned_loss=0.1384, over 14357.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03344, over 244.00 utterances.], tot_loss[loss=0.3324, simple_loss=0.3849, pruned_loss=0.14, over 2781113.51 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07147, over 46092.86 utterances.], batch size: 244, lr: 6.22e-04
+2022-09-17 14:14:03,289 INFO [train.py:885] (1/2) Epoch 7, batch 6300, loss[loss=0.3073, simple_loss=0.3793, pruned_loss=0.1177, over 14277.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04013, over 180.00 utterances.], tot_loss[loss=0.3388, simple_loss=0.3894, pruned_loss=0.1441, over 2785194.53 frames. utt_duration=241.3 frames, utt_pad_proportion=0.06988, over 46461.84 utterances.], batch size: 180, lr: 6.22e-04
+2022-09-17 14:14:32,944 INFO [train.py:885] (1/2) Epoch 7, batch 6350, loss[loss=0.5681, simple_loss=0.6252, pruned_loss=0.2555, over 12517.00 frames. utt_duration=63.33 frames, utt_pad_proportion=0.1441, over 811.00 utterances.], tot_loss[loss=0.3347, simple_loss=0.386, pruned_loss=0.1417, over 2778522.60 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07156, over 45294.24 utterances.], batch size: 811, lr: 6.22e-04
+2022-09-17 14:15:02,929 INFO [train.py:885] (1/2) Epoch 7, batch 6400, loss[loss=0.3008, simple_loss=0.3411, pruned_loss=0.1302, over 14279.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.041, over 120.00 utterances.], tot_loss[loss=0.3316, simple_loss=0.3839, pruned_loss=0.1396, over 2779322.12 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07055, over 45378.81 utterances.], batch size: 120, lr: 6.22e-04
+2022-09-17 14:15:32,633 INFO [train.py:885] (1/2) Epoch 7, batch 6450, loss[loss=0.1978, simple_loss=0.2582, pruned_loss=0.06864, over 13504.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08469, over 50.00 utterances.], tot_loss[loss=0.3311, simple_loss=0.3831, pruned_loss=0.1395, over 2780229.94 frames. utt_duration=248 frames, utt_pad_proportion=0.07141, over 45108.79 utterances.], batch size: 50, lr: 6.22e-04
+2022-09-17 14:16:02,304 INFO [train.py:885] (1/2) Epoch 7, batch 6500, loss[loss=0.3894, simple_loss=0.4572, pruned_loss=0.1608, over 13691.00 frames. utt_duration=134.8 frames, utt_pad_proportion=0.07643, over 411.00 utterances.], tot_loss[loss=0.3309, simple_loss=0.3832, pruned_loss=0.1393, over 2782796.73 frames. utt_duration=249 frames, utt_pad_proportion=0.07018, over 44968.47 utterances.], batch size: 411, lr: 6.22e-04
+2022-09-17 14:16:31,778 INFO [train.py:885] (1/2) Epoch 7, batch 6550, loss[loss=0.3267, simple_loss=0.3892, pruned_loss=0.1321, over 14357.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.0366, over 283.00 utterances.], tot_loss[loss=0.3308, simple_loss=0.3833, pruned_loss=0.1392, over 2786758.84 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06936, over 45092.36 utterances.], batch size: 283, lr: 6.21e-04
+2022-09-17 14:17:01,794 INFO [train.py:885] (1/2) Epoch 7, batch 6600, loss[loss=0.2401, simple_loss=0.3039, pruned_loss=0.08819, over 14035.00 frames. utt_duration=712.1 frames, utt_pad_proportion=0.05812, over 79.00 utterances.], tot_loss[loss=0.3314, simple_loss=0.3844, pruned_loss=0.1392, over 2782864.46 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07185, over 46360.91 utterances.], batch size: 79, lr: 6.21e-04
+2022-09-17 14:17:31,179 INFO [train.py:885] (1/2) Epoch 7, batch 6650, loss[loss=0.3491, simple_loss=0.3986, pruned_loss=0.1498, over 14329.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04018, over 167.00 utterances.], tot_loss[loss=0.3309, simple_loss=0.3842, pruned_loss=0.1388, over 2783061.54 frames. utt_duration=244.7 frames, utt_pad_proportion=0.0722, over 45778.02 utterances.], batch size: 167, lr: 6.21e-04
+2022-09-17 14:18:01,164 INFO [train.py:885] (1/2) Epoch 7, batch 6700, loss[loss=0.2913, simple_loss=0.3474, pruned_loss=0.1176, over 14114.00 frames. utt_duration=577.6 frames, utt_pad_proportion=0.05157, over 98.00 utterances.], tot_loss[loss=0.331, simple_loss=0.3842, pruned_loss=0.1388, over 2782635.42 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07159, over 45974.35 utterances.], batch size: 98, lr: 6.21e-04
+2022-09-17 14:18:30,596 INFO [train.py:885] (1/2) Epoch 7, batch 6750, loss[loss=0.4601, simple_loss=0.4778, pruned_loss=0.2212, over 14264.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04071, over 335.00 utterances.], tot_loss[loss=0.331, simple_loss=0.3846, pruned_loss=0.1387, over 2785124.36 frames. utt_duration=243.7 frames, utt_pad_proportion=0.0707, over 45990.59 utterances.], batch size: 335, lr: 6.21e-04
+2022-09-17 14:19:00,720 INFO [train.py:885] (1/2) Epoch 7, batch 6800, loss[loss=0.3511, simple_loss=0.3843, pruned_loss=0.1589, over 14145.00 frames. utt_duration=637.2 frames, utt_pad_proportion=0.05032, over 89.00 utterances.], tot_loss[loss=0.335, simple_loss=0.3877, pruned_loss=0.1412, over 2786465.68 frames. utt_duration=240.6 frames, utt_pad_proportion=0.06989, over 46613.62 utterances.], batch size: 89, lr: 6.20e-04
+2022-09-17 14:19:29,678 INFO [train.py:885] (1/2) Epoch 7, batch 6850, loss[loss=0.2605, simple_loss=0.3207, pruned_loss=0.1001, over 14098.00 frames. utt_duration=635 frames, utt_pad_proportion=0.0536, over 89.00 utterances.], tot_loss[loss=0.328, simple_loss=0.381, pruned_loss=0.1375, over 2790395.66 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06712, over 44155.98 utterances.], batch size: 89, lr: 6.20e-04
+2022-09-17 14:19:59,530 INFO [train.py:885] (1/2) Epoch 7, batch 6900, loss[loss=0.3396, simple_loss=0.3785, pruned_loss=0.1503, over 14260.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04461, over 141.00 utterances.], tot_loss[loss=0.3295, simple_loss=0.3828, pruned_loss=0.1381, over 2785315.15 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06933, over 44993.76 utterances.], batch size: 141, lr: 6.20e-04
+2022-09-17 14:20:28,604 INFO [train.py:885] (1/2) Epoch 7, batch 6950, loss[loss=0.3154, simple_loss=0.3702, pruned_loss=0.1303, over 14329.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03934, over 154.00 utterances.], tot_loss[loss=0.3305, simple_loss=0.384, pruned_loss=0.1384, over 2789485.78 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06834, over 45521.93 utterances.], batch size: 154, lr: 6.20e-04
+2022-09-17 14:20:58,482 INFO [train.py:885] (1/2) Epoch 7, batch 7000, loss[loss=0.2245, simple_loss=0.2685, pruned_loss=0.0903, over 13122.00 frames. utt_duration=2020 frames, utt_pad_proportion=0.107, over 26.00 utterances.], tot_loss[loss=0.3279, simple_loss=0.3815, pruned_loss=0.1371, over 2786620.33 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06871, over 44187.26 utterances.], batch size: 26, lr: 6.20e-04
+2022-09-17 14:21:27,679 INFO [train.py:885] (1/2) Epoch 7, batch 7050, loss[loss=0.2884, simple_loss=0.3463, pruned_loss=0.1152, over 14327.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.03627, over 130.00 utterances.], tot_loss[loss=0.3283, simple_loss=0.382, pruned_loss=0.1373, over 2789719.23 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06767, over 44918.48 utterances.], batch size: 130, lr: 6.19e-04
+2022-09-17 14:21:57,746 INFO [train.py:885] (1/2) Epoch 7, batch 7100, loss[loss=0.1981, simple_loss=0.2449, pruned_loss=0.07566, over 13303.00 frames. utt_duration=1299 frames, utt_pad_proportion=0.09274, over 41.00 utterances.], tot_loss[loss=0.3266, simple_loss=0.3801, pruned_loss=0.1365, over 2787716.33 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06793, over 44579.56 utterances.], batch size: 41, lr: 6.19e-04
+2022-09-17 14:22:27,263 INFO [train.py:885] (1/2) Epoch 7, batch 7150, loss[loss=0.4335, simple_loss=0.46, pruned_loss=0.2036, over 14242.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04247, over 335.00 utterances.], tot_loss[loss=0.3275, simple_loss=0.3805, pruned_loss=0.1372, over 2786384.73 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06788, over 44726.45 utterances.], batch size: 335, lr: 6.19e-04
+2022-09-17 14:22:56,554 INFO [train.py:885] (1/2) Epoch 7, batch 7200, loss[loss=0.3469, simple_loss=0.4012, pruned_loss=0.1463, over 14320.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03827, over 283.00 utterances.], tot_loss[loss=0.3253, simple_loss=0.3786, pruned_loss=0.136, over 2786628.38 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06803, over 44004.77 utterances.], batch size: 283, lr: 6.19e-04
+2022-09-17 14:23:25,814 INFO [train.py:885] (1/2) Epoch 7, batch 7250, loss[loss=0.4086, simple_loss=0.4814, pruned_loss=0.1679, over 13629.00 frames. utt_duration=98.67 frames, utt_pad_proportion=0.0778, over 560.00 utterances.], tot_loss[loss=0.3281, simple_loss=0.3813, pruned_loss=0.1374, over 2785692.12 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06847, over 45049.19 utterances.], batch size: 560, lr: 6.19e-04
+2022-09-17 14:23:55,393 INFO [train.py:885] (1/2) Epoch 7, batch 7300, loss[loss=0.3075, simple_loss=0.3739, pruned_loss=0.1205, over 14370.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.0372, over 167.00 utterances.], tot_loss[loss=0.3259, simple_loss=0.3804, pruned_loss=0.1357, over 2789510.74 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06895, over 45096.61 utterances.], batch size: 167, lr: 6.19e-04
+2022-09-17 14:24:24,605 INFO [train.py:885] (1/2) Epoch 7, batch 7350, loss[loss=0.2644, simple_loss=0.3234, pruned_loss=0.1027, over 14199.00 frames. utt_duration=639.6 frames, utt_pad_proportion=0.04682, over 89.00 utterances.], tot_loss[loss=0.3248, simple_loss=0.3789, pruned_loss=0.1353, over 2790464.01 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06692, over 44300.30 utterances.], batch size: 89, lr: 6.18e-04
+2022-09-17 14:24:54,934 INFO [train.py:885] (1/2) Epoch 7, batch 7400, loss[loss=0.5577, simple_loss=0.5429, pruned_loss=0.2862, over 14252.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04196, over 335.00 utterances.], tot_loss[loss=0.3272, simple_loss=0.381, pruned_loss=0.1367, over 2783143.55 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06832, over 45078.92 utterances.], batch size: 335, lr: 6.18e-04
+2022-09-17 14:25:24,205 INFO [train.py:885] (1/2) Epoch 7, batch 7450, loss[loss=0.3891, simple_loss=0.4629, pruned_loss=0.1577, over 13593.00 frames. utt_duration=98.47 frames, utt_pad_proportion=0.07971, over 560.00 utterances.], tot_loss[loss=0.324, simple_loss=0.3782, pruned_loss=0.1349, over 2782837.89 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06837, over 44166.46 utterances.], batch size: 560, lr: 6.18e-04
+2022-09-17 14:25:54,364 INFO [train.py:885] (1/2) Epoch 7, batch 7500, loss[loss=0.4224, simple_loss=0.447, pruned_loss=0.1989, over 14247.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04289, over 335.00 utterances.], tot_loss[loss=0.3259, simple_loss=0.3798, pruned_loss=0.136, over 2781257.58 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06892, over 44862.02 utterances.], batch size: 335, lr: 6.18e-04
+2022-09-17 14:26:23,017 INFO [train.py:885] (1/2) Epoch 7, batch 7550, loss[loss=0.281, simple_loss=0.3334, pruned_loss=0.1143, over 14063.00 frames. utt_duration=575.2 frames, utt_pad_proportion=0.05392, over 98.00 utterances.], tot_loss[loss=0.3218, simple_loss=0.376, pruned_loss=0.1339, over 2788681.31 frames. utt_duration=263.1 frames, utt_pad_proportion=0.06592, over 42635.82 utterances.], batch size: 98, lr: 6.18e-04
+2022-09-17 14:26:53,661 INFO [train.py:885] (1/2) Epoch 7, batch 7600, loss[loss=0.2939, simple_loss=0.3601, pruned_loss=0.1138, over 14312.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.0411, over 167.00 utterances.], tot_loss[loss=0.3212, simple_loss=0.3761, pruned_loss=0.1331, over 2784359.06 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06895, over 43652.49 utterances.], batch size: 167, lr: 6.17e-04
+2022-09-17 14:27:23,357 INFO [train.py:885] (1/2) Epoch 7, batch 7650, loss[loss=0.4197, simple_loss=0.4519, pruned_loss=0.1937, over 14221.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04338, over 306.00 utterances.], tot_loss[loss=0.324, simple_loss=0.3787, pruned_loss=0.1347, over 2779556.57 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07249, over 45307.98 utterances.], batch size: 306, lr: 6.17e-04
+2022-09-17 14:27:52,731 INFO [train.py:885] (1/2) Epoch 7, batch 7700, loss[loss=0.3648, simple_loss=0.4126, pruned_loss=0.1586, over 14343.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.0365, over 195.00 utterances.], tot_loss[loss=0.3253, simple_loss=0.379, pruned_loss=0.1358, over 2784408.25 frames. utt_duration=251 frames, utt_pad_proportion=0.06926, over 44634.80 utterances.], batch size: 195, lr: 6.17e-04
+2022-09-17 14:28:22,364 INFO [train.py:885] (1/2) Epoch 7, batch 7750, loss[loss=0.3615, simple_loss=0.4159, pruned_loss=0.1535, over 14304.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04027, over 262.00 utterances.], tot_loss[loss=0.3287, simple_loss=0.3824, pruned_loss=0.1375, over 2787471.88 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06908, over 45625.40 utterances.], batch size: 262, lr: 6.17e-04
+2022-09-17 14:28:51,952 INFO [train.py:885] (1/2) Epoch 7, batch 7800, loss[loss=0.3618, simple_loss=0.4058, pruned_loss=0.1589, over 14266.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04112, over 225.00 utterances.], tot_loss[loss=0.3324, simple_loss=0.3857, pruned_loss=0.1395, over 2788409.80 frames. utt_duration=240.6 frames, utt_pad_proportion=0.06895, over 46633.55 utterances.], batch size: 225, lr: 6.17e-04
+2022-09-17 14:29:21,316 INFO [train.py:885] (1/2) Epoch 7, batch 7850, loss[loss=0.2099, simple_loss=0.2722, pruned_loss=0.07382, over 13289.00 frames. utt_duration=1612 frames, utt_pad_proportion=0.09682, over 33.00 utterances.], tot_loss[loss=0.3265, simple_loss=0.3804, pruned_loss=0.1364, over 2783737.66 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06937, over 45053.67 utterances.], batch size: 33, lr: 6.17e-04
+2022-09-17 14:29:50,273 INFO [train.py:885] (1/2) Epoch 7, batch 7900, loss[loss=0.3277, simple_loss=0.3959, pruned_loss=0.1297, over 14360.00 frames. utt_duration=237 frames, utt_pad_proportion=0.0366, over 244.00 utterances.], tot_loss[loss=0.3284, simple_loss=0.3818, pruned_loss=0.1375, over 2784491.31 frames. utt_duration=247.2 frames, utt_pad_proportion=0.06957, over 45320.77 utterances.], batch size: 244, lr: 6.16e-04
+2022-09-17 14:30:20,223 INFO [train.py:885] (1/2) Epoch 7, batch 7950, loss[loss=0.4638, simple_loss=0.5127, pruned_loss=0.2075, over 13615.00 frames. utt_duration=98.63 frames, utt_pad_proportion=0.07822, over 560.00 utterances.], tot_loss[loss=0.3293, simple_loss=0.3831, pruned_loss=0.1378, over 2782291.08 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07242, over 46475.58 utterances.], batch size: 560, lr: 6.16e-04
+2022-09-17 14:30:49,842 INFO [train.py:885] (1/2) Epoch 7, batch 8000, loss[loss=0.3689, simple_loss=0.4216, pruned_loss=0.1581, over 14310.00 frames. utt_duration=255.8 frames, utt_pad_proportion=0.03835, over 225.00 utterances.], tot_loss[loss=0.3313, simple_loss=0.3844, pruned_loss=0.1391, over 2779209.87 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07361, over 46253.90 utterances.], batch size: 225, lr: 6.16e-04
+2022-09-17 14:31:25,888 INFO [train.py:885] (1/2) Epoch 7, batch 8050, loss[loss=0.3661, simple_loss=0.407, pruned_loss=0.1626, over 14335.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03988, over 167.00 utterances.], tot_loss[loss=0.3317, simple_loss=0.3849, pruned_loss=0.1392, over 2778340.41 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07297, over 45493.77 utterances.], batch size: 167, lr: 6.16e-04
+2022-09-17 14:31:55,785 INFO [train.py:885] (1/2) Epoch 7, batch 8100, loss[loss=0.2783, simple_loss=0.3377, pruned_loss=0.1095, over 14200.00 frames. utt_duration=522.8 frames, utt_pad_proportion=0.04248, over 109.00 utterances.], tot_loss[loss=0.3276, simple_loss=0.3811, pruned_loss=0.1371, over 2779798.54 frames. utt_duration=251.4 frames, utt_pad_proportion=0.0735, over 44490.36 utterances.], batch size: 109, lr: 6.16e-04
+2022-09-17 14:32:24,973 INFO [train.py:885] (1/2) Epoch 7, batch 8150, loss[loss=0.3941, simple_loss=0.4623, pruned_loss=0.163, over 13670.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08061, over 478.00 utterances.], tot_loss[loss=0.3346, simple_loss=0.388, pruned_loss=0.1406, over 2775058.53 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07698, over 47842.37 utterances.], batch size: 478, lr: 6.15e-04
+2022-09-17 14:32:54,886 INFO [train.py:885] (1/2) Epoch 7, batch 8200, loss[loss=0.351, simple_loss=0.398, pruned_loss=0.152, over 14316.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03782, over 180.00 utterances.], tot_loss[loss=0.3326, simple_loss=0.3861, pruned_loss=0.1396, over 2778249.50 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07565, over 46747.97 utterances.], batch size: 180, lr: 6.15e-04
+2022-09-17 14:33:23,920 INFO [train.py:885] (1/2) Epoch 7, batch 8250, loss[loss=0.177, simple_loss=0.2225, pruned_loss=0.06576, over 13488.00 frames. utt_duration=1317 frames, utt_pad_proportion=0.08017, over 41.00 utterances.], tot_loss[loss=0.3346, simple_loss=0.3877, pruned_loss=0.1407, over 2781358.08 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07435, over 47750.85 utterances.], batch size: 41, lr: 6.15e-04
+2022-09-17 14:33:54,265 INFO [train.py:885] (1/2) Epoch 7, batch 8300, loss[loss=0.3616, simple_loss=0.4325, pruned_loss=0.1454, over 13986.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05608, over 365.00 utterances.], tot_loss[loss=0.3341, simple_loss=0.3879, pruned_loss=0.1402, over 2777686.92 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07465, over 47897.73 utterances.], batch size: 365, lr: 6.15e-04
+2022-09-17 14:34:23,878 INFO [train.py:885] (1/2) Epoch 7, batch 8350, loss[loss=0.2119, simple_loss=0.2735, pruned_loss=0.07515, over 13819.00 frames. utt_duration=922.7 frames, utt_pad_proportion=0.07266, over 60.00 utterances.], tot_loss[loss=0.3319, simple_loss=0.385, pruned_loss=0.1393, over 2777328.86 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07401, over 47308.04 utterances.], batch size: 60, lr: 6.15e-04
+2022-09-17 14:34:53,272 INFO [train.py:885] (1/2) Epoch 7, batch 8400, loss[loss=0.3211, simple_loss=0.382, pruned_loss=0.1301, over 14346.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03657, over 210.00 utterances.], tot_loss[loss=0.3335, simple_loss=0.3856, pruned_loss=0.1407, over 2781178.87 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07226, over 46272.32 utterances.], batch size: 210, lr: 6.14e-04
+2022-09-17 14:35:22,830 INFO [train.py:885] (1/2) Epoch 7, batch 8450, loss[loss=0.3209, simple_loss=0.4072, pruned_loss=0.1173, over 13785.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07074, over 411.00 utterances.], tot_loss[loss=0.3314, simple_loss=0.3843, pruned_loss=0.1392, over 2783624.59 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07167, over 46125.19 utterances.], batch size: 411, lr: 6.14e-04
+2022-09-17 14:35:52,872 INFO [train.py:885] (1/2) Epoch 7, batch 8500, loss[loss=0.2409, simple_loss=0.311, pruned_loss=0.0854, over 14336.00 frames. utt_duration=522.9 frames, utt_pad_proportion=0.04053, over 110.00 utterances.], tot_loss[loss=0.3287, simple_loss=0.3819, pruned_loss=0.1378, over 2780027.41 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07342, over 45646.77 utterances.], batch size: 110, lr: 6.14e-04
+2022-09-17 14:36:22,451 INFO [train.py:885] (1/2) Epoch 7, batch 8550, loss[loss=0.3792, simple_loss=0.4218, pruned_loss=0.1683, over 14335.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03823, over 262.00 utterances.], tot_loss[loss=0.3324, simple_loss=0.3855, pruned_loss=0.1396, over 2775992.57 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07343, over 47421.26 utterances.], batch size: 262, lr: 6.14e-04
+2022-09-17 14:36:51,745 INFO [train.py:885] (1/2) Epoch 7, batch 8600, loss[loss=0.3088, simple_loss=0.3573, pruned_loss=0.1301, over 14291.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.03953, over 154.00 utterances.], tot_loss[loss=0.3281, simple_loss=0.382, pruned_loss=0.1371, over 2772910.40 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07377, over 46373.15 utterances.], batch size: 154, lr: 6.14e-04
+2022-09-17 14:37:21,056 INFO [train.py:885] (1/2) Epoch 7, batch 8650, loss[loss=0.4015, simple_loss=0.4273, pruned_loss=0.1879, over 14294.00 frames. utt_duration=343.7 frames, utt_pad_proportion=0.04265, over 167.00 utterances.], tot_loss[loss=0.3309, simple_loss=0.3847, pruned_loss=0.1386, over 2776135.14 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07349, over 46785.19 utterances.], batch size: 167, lr: 6.14e-04
+2022-09-17 14:37:50,440 INFO [train.py:885] (1/2) Epoch 7, batch 8700, loss[loss=0.3014, simple_loss=0.3524, pruned_loss=0.1251, over 14127.00 frames. utt_duration=520 frames, utt_pad_proportion=0.0477, over 109.00 utterances.], tot_loss[loss=0.3284, simple_loss=0.3818, pruned_loss=0.1375, over 2780041.03 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07038, over 44946.97 utterances.], batch size: 109, lr: 6.13e-04
+2022-09-17 14:38:20,134 INFO [train.py:885] (1/2) Epoch 7, batch 8750, loss[loss=0.2017, simple_loss=0.2565, pruned_loss=0.0735, over 13234.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1113, over 33.00 utterances.], tot_loss[loss=0.3263, simple_loss=0.3793, pruned_loss=0.1366, over 2781677.20 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06883, over 43557.40 utterances.], batch size: 33, lr: 6.13e-04
+2022-09-17 14:38:49,538 INFO [train.py:885] (1/2) Epoch 7, batch 8800, loss[loss=0.4025, simple_loss=0.4573, pruned_loss=0.1739, over 14007.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05571, over 365.00 utterances.], tot_loss[loss=0.329, simple_loss=0.3818, pruned_loss=0.1381, over 2777873.77 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07102, over 44077.13 utterances.], batch size: 365, lr: 6.13e-04
+2022-09-17 14:39:19,352 INFO [train.py:885] (1/2) Epoch 7, batch 8850, loss[loss=0.3221, simple_loss=0.3951, pruned_loss=0.1246, over 14345.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03407, over 244.00 utterances.], tot_loss[loss=0.3286, simple_loss=0.3818, pruned_loss=0.1376, over 2777336.45 frames. utt_duration=250 frames, utt_pad_proportion=0.07131, over 44709.23 utterances.], batch size: 244, lr: 6.13e-04
+2022-09-17 14:39:48,491 INFO [train.py:885] (1/2) Epoch 7, batch 8900, loss[loss=0.408, simple_loss=0.4699, pruned_loss=0.1731, over 13614.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08211, over 477.00 utterances.], tot_loss[loss=0.3269, simple_loss=0.3808, pruned_loss=0.1365, over 2777088.91 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07073, over 45103.91 utterances.], batch size: 477, lr: 6.13e-04
+2022-09-17 14:40:18,579 INFO [train.py:885] (1/2) Epoch 7, batch 8950, loss[loss=0.2845, simple_loss=0.3395, pruned_loss=0.1148, over 14334.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.03581, over 130.00 utterances.], tot_loss[loss=0.3257, simple_loss=0.3791, pruned_loss=0.1361, over 2781574.62 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06949, over 43910.65 utterances.], batch size: 130, lr: 6.12e-04
+2022-09-17 14:40:47,794 INFO [train.py:885] (1/2) Epoch 7, batch 9000, loss[loss=0.2034, simple_loss=0.253, pruned_loss=0.07688, over 13263.00 frames. utt_duration=1609 frames, utt_pad_proportion=0.1071, over 33.00 utterances.], tot_loss[loss=0.3263, simple_loss=0.38, pruned_loss=0.1364, over 2785378.59 frames. utt_duration=254.4 frames, utt_pad_proportion=0.0686, over 44042.84 utterances.], batch size: 33, lr: 6.12e-04
+2022-09-17 14:40:47,795 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 14:40:52,493 INFO [train.py:914] (1/2) Epoch 7, validation: loss=0.2185, simple_loss=0.2938, pruned_loss=0.07161, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 14:41:22,403 INFO [train.py:885] (1/2) Epoch 7, batch 9050, loss[loss=0.4619, simple_loss=0.4743, pruned_loss=0.2247, over 14208.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04427, over 306.00 utterances.], tot_loss[loss=0.3287, simple_loss=0.3811, pruned_loss=0.1381, over 2790129.79 frames. utt_duration=260.3 frames, utt_pad_proportion=0.06559, over 43112.34 utterances.], batch size: 306, lr: 6.12e-04
+2022-09-17 14:41:52,114 INFO [train.py:885] (1/2) Epoch 7, batch 9100, loss[loss=0.305, simple_loss=0.3688, pruned_loss=0.1206, over 14288.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03864, over 180.00 utterances.], tot_loss[loss=0.3296, simple_loss=0.3809, pruned_loss=0.1392, over 2788114.55 frames. utt_duration=261.7 frames, utt_pad_proportion=0.06682, over 42861.81 utterances.], batch size: 180, lr: 6.12e-04
+2022-09-17 14:42:21,779 INFO [train.py:885] (1/2) Epoch 7, batch 9150, loss[loss=0.2938, simple_loss=0.3222, pruned_loss=0.1327, over 13839.00 frames. utt_duration=803.8 frames, utt_pad_proportion=0.06317, over 69.00 utterances.], tot_loss[loss=0.3288, simple_loss=0.38, pruned_loss=0.1388, over 2786712.13 frames. utt_duration=261.8 frames, utt_pad_proportion=0.06764, over 42825.21 utterances.], batch size: 69, lr: 6.12e-04
+2022-09-17 14:42:50,687 INFO [train.py:885] (1/2) Epoch 7, batch 9200, loss[loss=0.205, simple_loss=0.2607, pruned_loss=0.07464, over 13602.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08133, over 50.00 utterances.], tot_loss[loss=0.3265, simple_loss=0.3782, pruned_loss=0.1374, over 2785634.31 frames. utt_duration=262.2 frames, utt_pad_proportion=0.06725, over 42739.21 utterances.], batch size: 50, lr: 6.12e-04
+2022-09-17 14:43:27,962 INFO [train.py:885] (1/2) Epoch 7, batch 9250, loss[loss=0.1938, simple_loss=0.243, pruned_loss=0.07224, over 13378.00 frames. utt_duration=1276 frames, utt_pad_proportion=0.09981, over 42.00 utterances.], tot_loss[loss=0.3267, simple_loss=0.3792, pruned_loss=0.1371, over 2784812.94 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06828, over 43544.34 utterances.], batch size: 42, lr: 6.11e-04
+2022-09-17 14:43:57,730 INFO [train.py:885] (1/2) Epoch 7, batch 9300, loss[loss=0.1932, simple_loss=0.2605, pruned_loss=0.06289, over 12264.00 frames. utt_duration=2045 frames, utt_pad_proportion=0.1716, over 24.00 utterances.], tot_loss[loss=0.3257, simple_loss=0.3788, pruned_loss=0.1363, over 2778870.81 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07197, over 44262.90 utterances.], batch size: 24, lr: 6.11e-04
+2022-09-17 14:44:27,544 INFO [train.py:885] (1/2) Epoch 7, batch 9350, loss[loss=0.3374, simple_loss=0.3892, pruned_loss=0.1427, over 14299.00 frames. utt_duration=407 frames, utt_pad_proportion=0.04237, over 141.00 utterances.], tot_loss[loss=0.3259, simple_loss=0.3795, pruned_loss=0.1361, over 2779292.96 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07113, over 44302.40 utterances.], batch size: 141, lr: 6.11e-04
+2022-09-17 14:44:56,970 INFO [train.py:885] (1/2) Epoch 7, batch 9400, loss[loss=0.5976, simple_loss=0.641, pruned_loss=0.2771, over 12478.00 frames. utt_duration=63.22 frames, utt_pad_proportion=0.1456, over 810.00 utterances.], tot_loss[loss=0.3286, simple_loss=0.3821, pruned_loss=0.1376, over 2777285.78 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07271, over 45474.69 utterances.], batch size: 810, lr: 6.11e-04
+2022-09-17 14:45:26,474 INFO [train.py:885] (1/2) Epoch 7, batch 9450, loss[loss=0.3202, simple_loss=0.377, pruned_loss=0.1317, over 14295.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03877, over 180.00 utterances.], tot_loss[loss=0.3318, simple_loss=0.3844, pruned_loss=0.1396, over 2779794.78 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07298, over 46011.20 utterances.], batch size: 180, lr: 6.11e-04
+2022-09-17 14:45:55,850 INFO [train.py:885] (1/2) Epoch 7, batch 9500, loss[loss=0.2778, simple_loss=0.3344, pruned_loss=0.1106, over 14294.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04036, over 120.00 utterances.], tot_loss[loss=0.3288, simple_loss=0.3822, pruned_loss=0.1377, over 2778936.20 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07228, over 45596.98 utterances.], batch size: 120, lr: 6.11e-04
+2022-09-17 14:46:26,311 INFO [train.py:885] (1/2) Epoch 7, batch 9550, loss[loss=0.1829, simple_loss=0.2538, pruned_loss=0.05604, over 13406.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.0838, over 41.00 utterances.], tot_loss[loss=0.33, simple_loss=0.3831, pruned_loss=0.1384, over 2777856.42 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07183, over 45835.37 utterances.], batch size: 41, lr: 6.10e-04
+2022-09-17 14:46:55,951 INFO [train.py:885] (1/2) Epoch 7, batch 9600, loss[loss=0.2287, simple_loss=0.2905, pruned_loss=0.08345, over 13703.00 frames. utt_duration=915.1 frames, utt_pad_proportion=0.08027, over 60.00 utterances.], tot_loss[loss=0.3272, simple_loss=0.3805, pruned_loss=0.137, over 2774708.31 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07248, over 45226.68 utterances.], batch size: 60, lr: 6.10e-04
+2022-09-17 14:47:25,248 INFO [train.py:885] (1/2) Epoch 7, batch 9650, loss[loss=0.3579, simple_loss=0.3932, pruned_loss=0.1614, over 14256.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04486, over 141.00 utterances.], tot_loss[loss=0.3252, simple_loss=0.3786, pruned_loss=0.136, over 2774186.60 frames. utt_duration=249.8 frames, utt_pad_proportion=0.0721, over 44692.12 utterances.], batch size: 141, lr: 6.10e-04
+2022-09-17 14:47:54,640 INFO [train.py:885] (1/2) Epoch 7, batch 9700, loss[loss=0.3815, simple_loss=0.4232, pruned_loss=0.1699, over 14328.00 frames. utt_duration=236.3 frames, utt_pad_proportion=0.03958, over 244.00 utterances.], tot_loss[loss=0.3251, simple_loss=0.3788, pruned_loss=0.1357, over 2774974.26 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07129, over 44977.91 utterances.], batch size: 244, lr: 6.10e-04
+2022-09-17 14:48:24,025 INFO [train.py:885] (1/2) Epoch 7, batch 9750, loss[loss=0.446, simple_loss=0.5174, pruned_loss=0.1873, over 13197.00 frames. utt_duration=82.37 frames, utt_pad_proportion=0.1047, over 653.00 utterances.], tot_loss[loss=0.3271, simple_loss=0.3813, pruned_loss=0.1364, over 2771379.35 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07358, over 46718.87 utterances.], batch size: 653, lr: 6.10e-04
+2022-09-17 14:48:53,579 INFO [train.py:885] (1/2) Epoch 7, batch 9800, loss[loss=0.29, simple_loss=0.3346, pruned_loss=0.1227, over 14188.00 frames. utt_duration=639.1 frames, utt_pad_proportion=0.04761, over 89.00 utterances.], tot_loss[loss=0.3291, simple_loss=0.3827, pruned_loss=0.1378, over 2773595.84 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0727, over 46578.00 utterances.], batch size: 89, lr: 6.09e-04
+2022-09-17 14:49:22,952 INFO [train.py:885] (1/2) Epoch 7, batch 9850, loss[loss=0.6199, simple_loss=0.6603, pruned_loss=0.2898, over 12556.00 frames. utt_duration=63.46 frames, utt_pad_proportion=0.1424, over 811.00 utterances.], tot_loss[loss=0.3293, simple_loss=0.3823, pruned_loss=0.1382, over 2772417.33 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07293, over 45646.44 utterances.], batch size: 811, lr: 6.09e-04
+2022-09-17 14:49:52,779 INFO [train.py:885] (1/2) Epoch 7, batch 9900, loss[loss=0.2985, simple_loss=0.3487, pruned_loss=0.1241, over 14113.00 frames. utt_duration=577.6 frames, utt_pad_proportion=0.05154, over 98.00 utterances.], tot_loss[loss=0.3265, simple_loss=0.3797, pruned_loss=0.1366, over 2775009.26 frames. utt_duration=253.6 frames, utt_pad_proportion=0.0709, over 44027.49 utterances.], batch size: 98, lr: 6.09e-04
+2022-09-17 14:50:22,234 INFO [train.py:885] (1/2) Epoch 7, batch 9950, loss[loss=0.369, simple_loss=0.4493, pruned_loss=0.1443, over 13679.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.0774, over 477.00 utterances.], tot_loss[loss=0.3284, simple_loss=0.3821, pruned_loss=0.1374, over 2774973.64 frames. utt_duration=247 frames, utt_pad_proportion=0.07276, over 45213.67 utterances.], batch size: 477, lr: 6.09e-04
+2022-09-17 14:50:52,316 INFO [train.py:885] (1/2) Epoch 7, batch 10000, loss[loss=0.347, simple_loss=0.4007, pruned_loss=0.1466, over 14322.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03838, over 262.00 utterances.], tot_loss[loss=0.3297, simple_loss=0.3839, pruned_loss=0.1378, over 2773676.71 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07396, over 46357.39 utterances.], batch size: 262, lr: 6.09e-04
+2022-09-17 14:51:28,693 INFO [train.py:885] (1/2) Epoch 7, batch 10050, loss[loss=0.2767, simple_loss=0.3393, pruned_loss=0.107, over 14240.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04617, over 141.00 utterances.], tot_loss[loss=0.3311, simple_loss=0.3844, pruned_loss=0.1389, over 2779750.06 frames. utt_duration=247.4 frames, utt_pad_proportion=0.0706, over 45206.29 utterances.], batch size: 141, lr: 6.09e-04
+2022-09-17 14:51:58,229 INFO [train.py:885] (1/2) Epoch 7, batch 10100, loss[loss=0.2881, simple_loss=0.3525, pruned_loss=0.1119, over 12750.00 frames. utt_duration=2041 frames, utt_pad_proportion=0.135, over 25.00 utterances.], tot_loss[loss=0.3284, simple_loss=0.382, pruned_loss=0.1374, over 2772354.49 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07252, over 44532.67 utterances.], batch size: 25, lr: 6.08e-04
+2022-09-17 14:52:28,146 INFO [train.py:885] (1/2) Epoch 7, batch 10150, loss[loss=0.3028, simple_loss=0.3648, pruned_loss=0.1204, over 14245.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04556, over 141.00 utterances.], tot_loss[loss=0.3258, simple_loss=0.3795, pruned_loss=0.1361, over 2773657.78 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07191, over 43849.29 utterances.], batch size: 141, lr: 6.08e-04
+2022-09-17 14:53:05,759 INFO [train.py:885] (1/2) Epoch 7, batch 10200, loss[loss=0.2938, simple_loss=0.3634, pruned_loss=0.1121, over 14300.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.0409, over 154.00 utterances.], tot_loss[loss=0.328, simple_loss=0.3817, pruned_loss=0.1371, over 2775158.88 frames. utt_duration=249 frames, utt_pad_proportion=0.0717, over 44840.05 utterances.], batch size: 154, lr: 6.08e-04
+2022-09-17 14:53:35,508 INFO [train.py:885] (1/2) Epoch 7, batch 10250, loss[loss=0.3059, simple_loss=0.3538, pruned_loss=0.129, over 14308.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03894, over 120.00 utterances.], tot_loss[loss=0.3278, simple_loss=0.3817, pruned_loss=0.1369, over 2773004.67 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07384, over 45753.12 utterances.], batch size: 120, lr: 6.08e-04
+2022-09-17 14:54:04,743 INFO [train.py:885] (1/2) Epoch 7, batch 10300, loss[loss=0.3429, simple_loss=0.4074, pruned_loss=0.1393, over 14303.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04058, over 262.00 utterances.], tot_loss[loss=0.3287, simple_loss=0.3827, pruned_loss=0.1373, over 2774224.55 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07289, over 46146.23 utterances.], batch size: 262, lr: 6.08e-04
+2022-09-17 14:54:34,804 INFO [train.py:885] (1/2) Epoch 7, batch 10350, loss[loss=0.3432, simple_loss=0.3995, pruned_loss=0.1434, over 14294.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.04075, over 283.00 utterances.], tot_loss[loss=0.3344, simple_loss=0.3884, pruned_loss=0.1402, over 2774253.05 frames. utt_duration=228.9 frames, utt_pad_proportion=0.07475, over 48798.01 utterances.], batch size: 283, lr: 6.08e-04
+2022-09-17 14:55:04,524 INFO [train.py:885] (1/2) Epoch 7, batch 10400, loss[loss=0.3658, simple_loss=0.4387, pruned_loss=0.1464, over 14015.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.0556, over 365.00 utterances.], tot_loss[loss=0.3302, simple_loss=0.3846, pruned_loss=0.138, over 2775834.60 frames. utt_duration=237.3 frames, utt_pad_proportion=0.0741, over 47073.94 utterances.], batch size: 365, lr: 6.07e-04
+2022-09-17 14:55:33,909 INFO [train.py:885] (1/2) Epoch 7, batch 10450, loss[loss=0.3181, simple_loss=0.3642, pruned_loss=0.1359, over 14261.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.04057, over 130.00 utterances.], tot_loss[loss=0.3298, simple_loss=0.3841, pruned_loss=0.1378, over 2779240.19 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07214, over 47100.44 utterances.], batch size: 130, lr: 6.07e-04
+2022-09-17 14:56:04,163 INFO [train.py:885] (1/2) Epoch 7, batch 10500, loss[loss=0.1932, simple_loss=0.2506, pruned_loss=0.06785, over 13588.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.08394, over 42.00 utterances.], tot_loss[loss=0.3304, simple_loss=0.3848, pruned_loss=0.1379, over 2783179.60 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07157, over 47513.59 utterances.], batch size: 42, lr: 6.07e-04
+2022-09-17 14:56:34,306 INFO [train.py:885] (1/2) Epoch 7, batch 10550, loss[loss=0.2831, simple_loss=0.3441, pruned_loss=0.1111, over 14303.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.04006, over 120.00 utterances.], tot_loss[loss=0.3286, simple_loss=0.3835, pruned_loss=0.1369, over 2777231.13 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07454, over 47592.27 utterances.], batch size: 120, lr: 6.07e-04
+2022-09-17 14:57:02,864 INFO [train.py:885] (1/2) Epoch 7, batch 10600, loss[loss=0.2401, simple_loss=0.2918, pruned_loss=0.09423, over 13980.00 frames. utt_duration=709.5 frames, utt_pad_proportion=0.06031, over 79.00 utterances.], tot_loss[loss=0.3283, simple_loss=0.383, pruned_loss=0.1368, over 2776899.80 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07435, over 47037.03 utterances.], batch size: 79, lr: 6.07e-04
+2022-09-17 14:57:32,610 INFO [train.py:885] (1/2) Epoch 7, batch 10650, loss[loss=0.4249, simple_loss=0.4474, pruned_loss=0.2012, over 14230.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04316, over 335.00 utterances.], tot_loss[loss=0.3328, simple_loss=0.3865, pruned_loss=0.1396, over 2780050.94 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07409, over 46964.50 utterances.], batch size: 335, lr: 6.06e-04
+2022-09-17 14:58:02,333 INFO [train.py:885] (1/2) Epoch 7, batch 10700, loss[loss=0.2356, simple_loss=0.2784, pruned_loss=0.09636, over 13836.00 frames. utt_duration=923.9 frames, utt_pad_proportion=0.0687, over 60.00 utterances.], tot_loss[loss=0.3293, simple_loss=0.3835, pruned_loss=0.1376, over 2783061.54 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07247, over 46046.00 utterances.], batch size: 60, lr: 6.06e-04
+2022-09-17 14:58:32,077 INFO [train.py:885] (1/2) Epoch 7, batch 10750, loss[loss=0.3627, simple_loss=0.4329, pruned_loss=0.1463, over 13984.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05635, over 365.00 utterances.], tot_loss[loss=0.3254, simple_loss=0.38, pruned_loss=0.1354, over 2780149.81 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07276, over 45266.96 utterances.], batch size: 365, lr: 6.06e-04
+2022-09-17 14:59:01,399 INFO [train.py:885] (1/2) Epoch 7, batch 10800, loss[loss=0.2676, simple_loss=0.3257, pruned_loss=0.1048, over 14076.00 frames. utt_duration=714 frames, utt_pad_proportion=0.05552, over 79.00 utterances.], tot_loss[loss=0.3261, simple_loss=0.3796, pruned_loss=0.1364, over 2780765.73 frames. utt_duration=253.7 frames, utt_pad_proportion=0.0713, over 44092.34 utterances.], batch size: 79, lr: 6.06e-04
+2022-09-17 14:59:31,293 INFO [train.py:885] (1/2) Epoch 7, batch 10850, loss[loss=0.3025, simple_loss=0.3751, pruned_loss=0.115, over 14343.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03886, over 167.00 utterances.], tot_loss[loss=0.3264, simple_loss=0.3804, pruned_loss=0.1362, over 2779803.72 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07152, over 44690.83 utterances.], batch size: 167, lr: 6.06e-04
+2022-09-17 15:00:00,402 INFO [train.py:885] (1/2) Epoch 7, batch 10900, loss[loss=0.3351, simple_loss=0.386, pruned_loss=0.1421, over 14320.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04083, over 167.00 utterances.], tot_loss[loss=0.3267, simple_loss=0.3812, pruned_loss=0.1361, over 2780454.58 frames. utt_duration=246 frames, utt_pad_proportion=0.07152, over 45490.18 utterances.], batch size: 167, lr: 6.06e-04
+2022-09-17 15:00:30,279 INFO [train.py:885] (1/2) Epoch 7, batch 10950, loss[loss=0.2615, simple_loss=0.3212, pruned_loss=0.1009, over 14294.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04028, over 120.00 utterances.], tot_loss[loss=0.3235, simple_loss=0.3779, pruned_loss=0.1346, over 2783017.44 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06925, over 43616.43 utterances.], batch size: 120, lr: 6.05e-04
+2022-09-17 15:00:59,737 INFO [train.py:885] (1/2) Epoch 7, batch 11000, loss[loss=0.2002, simple_loss=0.2718, pruned_loss=0.06435, over 13421.00 frames. utt_duration=1075 frames, utt_pad_proportion=0.09342, over 50.00 utterances.], tot_loss[loss=0.3233, simple_loss=0.3775, pruned_loss=0.1345, over 2777567.17 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07129, over 43958.08 utterances.], batch size: 50, lr: 6.05e-04
+2022-09-17 15:01:29,412 INFO [train.py:885] (1/2) Epoch 7, batch 11050, loss[loss=0.6025, simple_loss=0.6544, pruned_loss=0.2753, over 12508.00 frames. utt_duration=63.35 frames, utt_pad_proportion=0.144, over 810.00 utterances.], tot_loss[loss=0.3277, simple_loss=0.3822, pruned_loss=0.1366, over 2780210.89 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07188, over 45408.22 utterances.], batch size: 810, lr: 6.05e-04
+2022-09-17 15:01:58,898 INFO [train.py:885] (1/2) Epoch 7, batch 11100, loss[loss=0.2211, simple_loss=0.2865, pruned_loss=0.07787, over 13578.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08585, over 50.00 utterances.], tot_loss[loss=0.3272, simple_loss=0.3815, pruned_loss=0.1364, over 2780738.38 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07119, over 45686.00 utterances.], batch size: 50, lr: 6.05e-04
+2022-09-17 15:02:28,655 INFO [train.py:885] (1/2) Epoch 7, batch 11150, loss[loss=0.3859, simple_loss=0.4234, pruned_loss=0.1742, over 14360.00 frames. utt_duration=220.7 frames, utt_pad_proportion=0.03635, over 262.00 utterances.], tot_loss[loss=0.3281, simple_loss=0.3821, pruned_loss=0.137, over 2782868.18 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07045, over 46034.79 utterances.], batch size: 262, lr: 6.05e-04
+2022-09-17 15:02:58,935 INFO [train.py:885] (1/2) Epoch 7, batch 11200, loss[loss=0.222, simple_loss=0.2908, pruned_loss=0.07661, over 14106.00 frames. utt_duration=715.5 frames, utt_pad_proportion=0.05351, over 79.00 utterances.], tot_loss[loss=0.3277, simple_loss=0.3816, pruned_loss=0.1369, over 2785903.53 frames. utt_duration=245.7 frames, utt_pad_proportion=0.06938, over 45631.58 utterances.], batch size: 79, lr: 6.05e-04
+2022-09-17 15:03:28,006 INFO [train.py:885] (1/2) Epoch 7, batch 11250, loss[loss=0.4371, simple_loss=0.4586, pruned_loss=0.2078, over 14273.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04055, over 225.00 utterances.], tot_loss[loss=0.3295, simple_loss=0.3826, pruned_loss=0.1382, over 2783965.85 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07028, over 45802.81 utterances.], batch size: 225, lr: 6.04e-04
+2022-09-17 15:03:57,499 INFO [train.py:885] (1/2) Epoch 7, batch 11300, loss[loss=0.2876, simple_loss=0.3551, pruned_loss=0.11, over 14286.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03969, over 180.00 utterances.], tot_loss[loss=0.3302, simple_loss=0.3833, pruned_loss=0.1385, over 2782919.02 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07164, over 46313.04 utterances.], batch size: 180, lr: 6.04e-04
+2022-09-17 15:04:26,115 INFO [train.py:885] (1/2) Epoch 7, batch 11350, loss[loss=0.245, simple_loss=0.3112, pruned_loss=0.08938, over 14123.00 frames. utt_duration=577.6 frames, utt_pad_proportion=0.05304, over 98.00 utterances.], tot_loss[loss=0.3271, simple_loss=0.3805, pruned_loss=0.1368, over 2783146.77 frames. utt_duration=248.6 frames, utt_pad_proportion=0.0693, over 45039.86 utterances.], batch size: 98, lr: 6.04e-04
+2022-09-17 15:04:56,186 INFO [train.py:885] (1/2) Epoch 7, batch 11400, loss[loss=0.2126, simple_loss=0.2629, pruned_loss=0.08111, over 13112.00 frames. utt_duration=1591 frames, utt_pad_proportion=0.1172, over 33.00 utterances.], tot_loss[loss=0.3312, simple_loss=0.3835, pruned_loss=0.1394, over 2779422.69 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07164, over 45536.52 utterances.], batch size: 33, lr: 6.04e-04
+2022-09-17 15:05:25,169 INFO [train.py:885] (1/2) Epoch 7, batch 11450, loss[loss=0.3454, simple_loss=0.3936, pruned_loss=0.1486, over 14386.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03591, over 196.00 utterances.], tot_loss[loss=0.3324, simple_loss=0.3847, pruned_loss=0.1401, over 2776641.18 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07156, over 45809.61 utterances.], batch size: 196, lr: 6.04e-04
+2022-09-17 15:05:55,593 INFO [train.py:885] (1/2) Epoch 7, batch 11500, loss[loss=0.24, simple_loss=0.3021, pruned_loss=0.08894, over 14095.00 frames. utt_duration=576.7 frames, utt_pad_proportion=0.05463, over 98.00 utterances.], tot_loss[loss=0.3309, simple_loss=0.3835, pruned_loss=0.1391, over 2772184.70 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07229, over 45399.13 utterances.], batch size: 98, lr: 6.04e-04
+2022-09-17 15:06:24,790 INFO [train.py:885] (1/2) Epoch 7, batch 11550, loss[loss=0.2754, simple_loss=0.324, pruned_loss=0.1134, over 14224.00 frames. utt_duration=640.8 frames, utt_pad_proportion=0.04494, over 89.00 utterances.], tot_loss[loss=0.3246, simple_loss=0.3778, pruned_loss=0.1358, over 2775749.28 frames. utt_duration=255.3 frames, utt_pad_proportion=0.07297, over 43742.24 utterances.], batch size: 89, lr: 6.03e-04
+2022-09-17 15:06:54,392 INFO [train.py:885] (1/2) Epoch 7, batch 11600, loss[loss=0.4147, simple_loss=0.4457, pruned_loss=0.1918, over 14364.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03554, over 210.00 utterances.], tot_loss[loss=0.3282, simple_loss=0.3814, pruned_loss=0.1375, over 2778414.86 frames. utt_duration=248 frames, utt_pad_proportion=0.0736, over 45085.19 utterances.], batch size: 210, lr: 6.03e-04
+2022-09-17 15:07:23,615 INFO [train.py:885] (1/2) Epoch 7, batch 11650, loss[loss=0.4203, simple_loss=0.4728, pruned_loss=0.1839, over 13982.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05745, over 365.00 utterances.], tot_loss[loss=0.3285, simple_loss=0.3815, pruned_loss=0.1378, over 2783371.84 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06972, over 44023.00 utterances.], batch size: 365, lr: 6.03e-04
+2022-09-17 15:07:53,115 INFO [train.py:885] (1/2) Epoch 7, batch 11700, loss[loss=0.2145, simple_loss=0.2765, pruned_loss=0.07621, over 14140.00 frames. utt_duration=637 frames, utt_pad_proportion=0.04922, over 89.00 utterances.], tot_loss[loss=0.3267, simple_loss=0.3805, pruned_loss=0.1364, over 2781402.41 frames. utt_duration=253.8 frames, utt_pad_proportion=0.0715, over 44084.74 utterances.], batch size: 89, lr: 6.03e-04
+2022-09-17 15:08:22,639 INFO [train.py:885] (1/2) Epoch 7, batch 11750, loss[loss=0.2998, simple_loss=0.3651, pruned_loss=0.1173, over 14364.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03763, over 167.00 utterances.], tot_loss[loss=0.3284, simple_loss=0.3818, pruned_loss=0.1375, over 2779446.46 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07247, over 44674.62 utterances.], batch size: 167, lr: 6.03e-04
+2022-09-17 15:08:53,150 INFO [train.py:885] (1/2) Epoch 7, batch 11800, loss[loss=0.2657, simple_loss=0.3298, pruned_loss=0.1007, over 14120.00 frames. utt_duration=519.6 frames, utt_pad_proportion=0.04836, over 109.00 utterances.], tot_loss[loss=0.3312, simple_loss=0.384, pruned_loss=0.1392, over 2777742.09 frames. utt_duration=245 frames, utt_pad_proportion=0.07388, over 45624.53 utterances.], batch size: 109, lr: 6.02e-04
+2022-09-17 15:09:22,933 INFO [train.py:885] (1/2) Epoch 7, batch 11850, loss[loss=0.2188, simple_loss=0.2795, pruned_loss=0.07906, over 14054.00 frames. utt_duration=713 frames, utt_pad_proportion=0.05684, over 79.00 utterances.], tot_loss[loss=0.3291, simple_loss=0.3825, pruned_loss=0.1379, over 2777196.79 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07365, over 45627.53 utterances.], batch size: 79, lr: 6.02e-04
+2022-09-17 15:09:52,395 INFO [train.py:885] (1/2) Epoch 7, batch 11900, loss[loss=0.1495, simple_loss=0.2004, pruned_loss=0.04924, over 13510.00 frames. utt_duration=1639 frames, utt_pad_proportion=0.09413, over 33.00 utterances.], tot_loss[loss=0.3287, simple_loss=0.3825, pruned_loss=0.1375, over 2775780.08 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07474, over 45632.86 utterances.], batch size: 33, lr: 6.02e-04
+2022-09-17 15:10:21,965 INFO [train.py:885] (1/2) Epoch 7, batch 11950, loss[loss=0.3302, simple_loss=0.3932, pruned_loss=0.1335, over 14317.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.0383, over 226.00 utterances.], tot_loss[loss=0.3274, simple_loss=0.3818, pruned_loss=0.1365, over 2784388.23 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07132, over 45429.10 utterances.], batch size: 226, lr: 6.02e-04
+2022-09-17 15:10:51,483 INFO [train.py:885] (1/2) Epoch 7, batch 12000, loss[loss=0.2039, simple_loss=0.2582, pruned_loss=0.07476, over 13567.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08238, over 50.00 utterances.], tot_loss[loss=0.3211, simple_loss=0.3759, pruned_loss=0.1332, over 2784608.22 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07037, over 44079.21 utterances.], batch size: 50, lr: 6.02e-04
+2022-09-17 15:10:51,485 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 15:10:55,648 INFO [train.py:914] (1/2) Epoch 7, validation: loss=0.2161, simple_loss=0.2901, pruned_loss=0.07106, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 15:11:25,755 INFO [train.py:885] (1/2) Epoch 7, batch 12050, loss[loss=0.4421, simple_loss=0.4666, pruned_loss=0.2088, over 14207.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0442, over 306.00 utterances.], tot_loss[loss=0.3211, simple_loss=0.3756, pruned_loss=0.1333, over 2784420.75 frames. utt_duration=259.8 frames, utt_pad_proportion=0.07012, over 43108.55 utterances.], batch size: 306, lr: 6.02e-04
+2022-09-17 15:11:55,114 INFO [train.py:885] (1/2) Epoch 7, batch 12100, loss[loss=0.1884, simple_loss=0.2469, pruned_loss=0.06492, over 13081.00 frames. utt_duration=1587 frames, utt_pad_proportion=0.1058, over 33.00 utterances.], tot_loss[loss=0.3236, simple_loss=0.3774, pruned_loss=0.1349, over 2783270.81 frames. utt_duration=258.7 frames, utt_pad_proportion=0.07019, over 43278.73 utterances.], batch size: 33, lr: 6.01e-04
+2022-09-17 15:12:24,808 INFO [train.py:885] (1/2) Epoch 7, batch 12150, loss[loss=0.3591, simple_loss=0.4135, pruned_loss=0.1524, over 14320.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03879, over 283.00 utterances.], tot_loss[loss=0.3253, simple_loss=0.3804, pruned_loss=0.1351, over 2786569.20 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06939, over 45049.72 utterances.], batch size: 283, lr: 6.01e-04
+2022-09-17 15:12:53,841 INFO [train.py:885] (1/2) Epoch 7, batch 12200, loss[loss=0.1987, simple_loss=0.2605, pruned_loss=0.06848, over 13107.00 frames. utt_duration=2098 frames, utt_pad_proportion=0.1109, over 25.00 utterances.], tot_loss[loss=0.3281, simple_loss=0.3818, pruned_loss=0.1372, over 2791057.64 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06683, over 44368.38 utterances.], batch size: 25, lr: 6.01e-04
+2022-09-17 15:13:24,015 INFO [train.py:885] (1/2) Epoch 7, batch 12250, loss[loss=0.3826, simple_loss=0.4229, pruned_loss=0.1711, over 14328.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03787, over 283.00 utterances.], tot_loss[loss=0.3316, simple_loss=0.3857, pruned_loss=0.1387, over 2788198.26 frames. utt_duration=243.4 frames, utt_pad_proportion=0.06909, over 46093.24 utterances.], batch size: 283, lr: 6.01e-04
+2022-09-17 15:13:53,532 INFO [train.py:885] (1/2) Epoch 7, batch 12300, loss[loss=0.2043, simple_loss=0.2668, pruned_loss=0.07096, over 13511.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08896, over 50.00 utterances.], tot_loss[loss=0.3302, simple_loss=0.3847, pruned_loss=0.1378, over 2788696.80 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07055, over 45719.30 utterances.], batch size: 50, lr: 6.01e-04
+2022-09-17 15:14:23,114 INFO [train.py:885] (1/2) Epoch 7, batch 12350, loss[loss=0.409, simple_loss=0.4399, pruned_loss=0.189, over 14306.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04046, over 154.00 utterances.], tot_loss[loss=0.3328, simple_loss=0.387, pruned_loss=0.1393, over 2786009.27 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07119, over 46974.14 utterances.], batch size: 154, lr: 6.01e-04
+2022-09-17 15:14:52,662 INFO [train.py:885] (1/2) Epoch 7, batch 12400, loss[loss=0.3459, simple_loss=0.3944, pruned_loss=0.1487, over 14304.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.03834, over 154.00 utterances.], tot_loss[loss=0.3286, simple_loss=0.3838, pruned_loss=0.1367, over 2784241.33 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07219, over 46935.76 utterances.], batch size: 154, lr: 6.00e-04
+2022-09-17 15:15:22,112 INFO [train.py:885] (1/2) Epoch 7, batch 12450, loss[loss=0.2997, simple_loss=0.3525, pruned_loss=0.1235, over 14290.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.0425, over 141.00 utterances.], tot_loss[loss=0.3304, simple_loss=0.3854, pruned_loss=0.1377, over 2781670.73 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07155, over 47514.25 utterances.], batch size: 141, lr: 6.00e-04
+2022-09-17 15:15:51,901 INFO [train.py:885] (1/2) Epoch 7, batch 12500, loss[loss=0.2419, simple_loss=0.2942, pruned_loss=0.09482, over 14092.00 frames. utt_duration=714.8 frames, utt_pad_proportion=0.05452, over 79.00 utterances.], tot_loss[loss=0.3286, simple_loss=0.3832, pruned_loss=0.137, over 2779355.73 frames. utt_duration=242.7 frames, utt_pad_proportion=0.0724, over 46082.39 utterances.], batch size: 79, lr: 6.00e-04
+2022-09-17 15:16:21,005 INFO [train.py:885] (1/2) Epoch 7, batch 12550, loss[loss=0.3425, simple_loss=0.4175, pruned_loss=0.1337, over 13734.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07419, over 411.00 utterances.], tot_loss[loss=0.3284, simple_loss=0.3825, pruned_loss=0.1371, over 2781862.98 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07048, over 45551.23 utterances.], batch size: 411, lr: 6.00e-04
+2022-09-17 15:16:48,734 INFO [train.py:885] (1/2) Epoch 7, batch 12600, loss[loss=0.2255, simple_loss=0.2783, pruned_loss=0.08633, over 13678.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08033, over 42.00 utterances.], tot_loss[loss=0.3247, simple_loss=0.3796, pruned_loss=0.1349, over 2785339.62 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06922, over 44719.10 utterances.], batch size: 42, lr: 6.00e-04
+2022-09-17 15:17:07,399 INFO [train.py:885] (1/2) Epoch 8, batch 0, loss[loss=0.3415, simple_loss=0.4253, pruned_loss=0.1288, over 13760.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07214, over 411.00 utterances.], tot_loss[loss=0.3415, simple_loss=0.4253, pruned_loss=0.1288, over 13760.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07214, over 411.00 utterances.], batch size: 411, lr: 5.75e-04
+2022-09-17 15:17:36,432 INFO [train.py:885] (1/2) Epoch 8, batch 50, loss[loss=0.369, simple_loss=0.4123, pruned_loss=0.1629, over 14321.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.0386, over 262.00 utterances.], tot_loss[loss=0.3183, simple_loss=0.3719, pruned_loss=0.1323, over 628145.28 frames. utt_duration=279.3 frames, utt_pad_proportion=0.0613, over 9044.38 utterances.], batch size: 262, lr: 5.75e-04
+2022-09-17 15:18:06,508 INFO [train.py:885] (1/2) Epoch 8, batch 100, loss[loss=0.188, simple_loss=0.2573, pruned_loss=0.0594, over 13556.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.0844, over 50.00 utterances.], tot_loss[loss=0.3298, simple_loss=0.3849, pruned_loss=0.1374, over 1099866.86 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07594, over 18710.84 utterances.], batch size: 50, lr: 5.75e-04
+2022-09-17 15:18:44,762 INFO [train.py:885] (1/2) Epoch 8, batch 150, loss[loss=0.3474, simple_loss=0.4004, pruned_loss=0.1472, over 14335.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03694, over 210.00 utterances.], tot_loss[loss=0.3313, simple_loss=0.3861, pruned_loss=0.1383, over 1472144.44 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07605, over 25269.46 utterances.], batch size: 210, lr: 5.75e-04
+2022-09-17 15:19:14,081 INFO [train.py:885] (1/2) Epoch 8, batch 200, loss[loss=0.4107, simple_loss=0.4264, pruned_loss=0.1975, over 14315.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03712, over 130.00 utterances.], tot_loss[loss=0.3284, simple_loss=0.3832, pruned_loss=0.1368, over 1763587.12 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07218, over 28755.54 utterances.], batch size: 130, lr: 5.75e-04
+2022-09-17 15:19:43,884 INFO [train.py:885] (1/2) Epoch 8, batch 250, loss[loss=0.3213, simple_loss=0.3762, pruned_loss=0.1332, over 14323.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03963, over 154.00 utterances.], tot_loss[loss=0.3248, simple_loss=0.3798, pruned_loss=0.135, over 1991969.81 frames. utt_duration=255.2 frames, utt_pad_proportion=0.07127, over 31407.22 utterances.], batch size: 154, lr: 5.74e-04
+2022-09-17 15:20:13,303 INFO [train.py:885] (1/2) Epoch 8, batch 300, loss[loss=0.2054, simple_loss=0.2589, pruned_loss=0.07593, over 13878.00 frames. utt_duration=926.4 frames, utt_pad_proportion=0.06616, over 60.00 utterances.], tot_loss[loss=0.3263, simple_loss=0.3806, pruned_loss=0.136, over 2165218.15 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07146, over 34858.59 utterances.], batch size: 60, lr: 5.74e-04
+2022-09-17 15:20:43,053 INFO [train.py:885] (1/2) Epoch 8, batch 350, loss[loss=0.3237, simple_loss=0.3841, pruned_loss=0.1316, over 14286.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.03975, over 154.00 utterances.], tot_loss[loss=0.3233, simple_loss=0.3773, pruned_loss=0.1346, over 2304699.18 frames. utt_duration=260.7 frames, utt_pad_proportion=0.06812, over 35558.14 utterances.], batch size: 154, lr: 5.74e-04
+2022-09-17 15:21:12,054 INFO [train.py:885] (1/2) Epoch 8, batch 400, loss[loss=0.2059, simple_loss=0.265, pruned_loss=0.07338, over 13554.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08686, over 50.00 utterances.], tot_loss[loss=0.3215, simple_loss=0.3762, pruned_loss=0.1334, over 2411636.11 frames. utt_duration=263 frames, utt_pad_proportion=0.06907, over 36884.32 utterances.], batch size: 50, lr: 5.74e-04
+2022-09-17 15:21:41,868 INFO [train.py:885] (1/2) Epoch 8, batch 450, loss[loss=0.1972, simple_loss=0.2468, pruned_loss=0.07378, over 13556.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08751, over 50.00 utterances.], tot_loss[loss=0.3205, simple_loss=0.3753, pruned_loss=0.1328, over 2492837.71 frames. utt_duration=259.7 frames, utt_pad_proportion=0.06989, over 38609.93 utterances.], batch size: 50, lr: 5.74e-04
+2022-09-17 15:22:11,706 INFO [train.py:885] (1/2) Epoch 8, batch 500, loss[loss=0.2334, simple_loss=0.3079, pruned_loss=0.07948, over 14006.00 frames. utt_duration=710.6 frames, utt_pad_proportion=0.06008, over 79.00 utterances.], tot_loss[loss=0.3221, simple_loss=0.3773, pruned_loss=0.1334, over 2557984.63 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07028, over 41108.43 utterances.], batch size: 79, lr: 5.74e-04
+2022-09-17 15:22:41,259 INFO [train.py:885] (1/2) Epoch 8, batch 550, loss[loss=0.4181, simple_loss=0.4785, pruned_loss=0.1789, over 13629.00 frames. utt_duration=98.71 frames, utt_pad_proportion=0.07745, over 560.00 utterances.], tot_loss[loss=0.3225, simple_loss=0.3775, pruned_loss=0.1337, over 2609087.02 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07038, over 41866.25 utterances.], batch size: 560, lr: 5.74e-04
+2022-09-17 15:23:10,518 INFO [train.py:885] (1/2) Epoch 8, batch 600, loss[loss=0.5063, simple_loss=0.5441, pruned_loss=0.2342, over 13605.00 frames. utt_duration=98.59 frames, utt_pad_proportion=0.0786, over 560.00 utterances.], tot_loss[loss=0.3266, simple_loss=0.3815, pruned_loss=0.1359, over 2646591.24 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07126, over 43910.88 utterances.], batch size: 560, lr: 5.73e-04
+2022-09-17 15:23:39,846 INFO [train.py:885] (1/2) Epoch 8, batch 650, loss[loss=0.3228, simple_loss=0.3774, pruned_loss=0.1341, over 14242.00 frames. utt_duration=318 frames, utt_pad_proportion=0.04222, over 180.00 utterances.], tot_loss[loss=0.3314, simple_loss=0.3857, pruned_loss=0.1386, over 2682163.84 frames. utt_duration=239.3 frames, utt_pad_proportion=0.06968, over 45114.71 utterances.], batch size: 180, lr: 5.73e-04
+2022-09-17 15:24:10,247 INFO [train.py:885] (1/2) Epoch 8, batch 700, loss[loss=0.2145, simple_loss=0.2884, pruned_loss=0.07027, over 13980.00 frames. utt_duration=709.1 frames, utt_pad_proportion=0.06202, over 79.00 utterances.], tot_loss[loss=0.3291, simple_loss=0.3834, pruned_loss=0.1374, over 2703458.59 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06924, over 44468.74 utterances.], batch size: 79, lr: 5.73e-04
+2022-09-17 15:24:39,682 INFO [train.py:885] (1/2) Epoch 8, batch 750, loss[loss=0.3702, simple_loss=0.4195, pruned_loss=0.1605, over 14371.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03519, over 210.00 utterances.], tot_loss[loss=0.3312, simple_loss=0.3855, pruned_loss=0.1385, over 2718109.74 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07144, over 46140.70 utterances.], batch size: 210, lr: 5.73e-04
+2022-09-17 15:25:09,336 INFO [train.py:885] (1/2) Epoch 8, batch 800, loss[loss=0.2962, simple_loss=0.3523, pruned_loss=0.1201, over 14213.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.04789, over 141.00 utterances.], tot_loss[loss=0.3282, simple_loss=0.383, pruned_loss=0.1367, over 2730727.36 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07097, over 45751.07 utterances.], batch size: 141, lr: 5.73e-04
+2022-09-17 15:25:38,570 INFO [train.py:885] (1/2) Epoch 8, batch 850, loss[loss=0.2288, simple_loss=0.2808, pruned_loss=0.08841, over 13539.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08478, over 50.00 utterances.], tot_loss[loss=0.3273, simple_loss=0.3821, pruned_loss=0.1362, over 2742362.52 frames. utt_duration=241.7 frames, utt_pad_proportion=0.0717, over 45667.65 utterances.], batch size: 50, lr: 5.73e-04
+2022-09-17 15:26:08,436 INFO [train.py:885] (1/2) Epoch 8, batch 900, loss[loss=0.2967, simple_loss=0.3639, pruned_loss=0.1148, over 14367.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03259, over 244.00 utterances.], tot_loss[loss=0.3268, simple_loss=0.3808, pruned_loss=0.1364, over 2752618.88 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07075, over 44921.51 utterances.], batch size: 244, lr: 5.72e-04
+2022-09-17 15:26:38,027 INFO [train.py:885] (1/2) Epoch 8, batch 950, loss[loss=0.3338, simple_loss=0.3919, pruned_loss=0.1378, over 14350.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03647, over 210.00 utterances.], tot_loss[loss=0.3266, simple_loss=0.3811, pruned_loss=0.136, over 2754305.10 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07354, over 45159.10 utterances.], batch size: 210, lr: 5.72e-04
+2022-09-17 15:27:08,127 INFO [train.py:885] (1/2) Epoch 8, batch 1000, loss[loss=0.383, simple_loss=0.4518, pruned_loss=0.1571, over 13618.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08176, over 477.00 utterances.], tot_loss[loss=0.3291, simple_loss=0.383, pruned_loss=0.1376, over 2757163.71 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07365, over 45696.34 utterances.], batch size: 477, lr: 5.72e-04
+2022-09-17 15:27:36,937 INFO [train.py:885] (1/2) Epoch 8, batch 1050, loss[loss=0.3441, simple_loss=0.4052, pruned_loss=0.1415, over 14300.00 frames. utt_duration=255.7 frames, utt_pad_proportion=0.03868, over 225.00 utterances.], tot_loss[loss=0.3246, simple_loss=0.379, pruned_loss=0.1351, over 2766265.03 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07113, over 43559.33 utterances.], batch size: 225, lr: 5.72e-04
+2022-09-17 15:28:06,648 INFO [train.py:885] (1/2) Epoch 8, batch 1100, loss[loss=0.5594, simple_loss=0.5919, pruned_loss=0.2635, over 13170.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.106, over 653.00 utterances.], tot_loss[loss=0.3269, simple_loss=0.3816, pruned_loss=0.1361, over 2772102.46 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07051, over 44634.01 utterances.], batch size: 653, lr: 5.72e-04
+2022-09-17 15:28:36,171 INFO [train.py:885] (1/2) Epoch 8, batch 1150, loss[loss=0.3714, simple_loss=0.4109, pruned_loss=0.166, over 14267.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04102, over 225.00 utterances.], tot_loss[loss=0.3278, simple_loss=0.383, pruned_loss=0.1362, over 2774690.61 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07068, over 45509.76 utterances.], batch size: 225, lr: 5.72e-04
+2022-09-17 15:29:06,518 INFO [train.py:885] (1/2) Epoch 8, batch 1200, loss[loss=0.314, simple_loss=0.3741, pruned_loss=0.127, over 14230.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04683, over 141.00 utterances.], tot_loss[loss=0.3301, simple_loss=0.3859, pruned_loss=0.1372, over 2772753.61 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07305, over 47343.77 utterances.], batch size: 141, lr: 5.71e-04
+2022-09-17 15:29:35,932 INFO [train.py:885] (1/2) Epoch 8, batch 1250, loss[loss=0.1909, simple_loss=0.2536, pruned_loss=0.06412, over 13109.00 frames. utt_duration=1591 frames, utt_pad_proportion=0.1206, over 33.00 utterances.], tot_loss[loss=0.3296, simple_loss=0.3853, pruned_loss=0.137, over 2773331.80 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07267, over 47319.46 utterances.], batch size: 33, lr: 5.71e-04
+2022-09-17 15:30:04,892 INFO [train.py:885] (1/2) Epoch 8, batch 1300, loss[loss=0.2433, simple_loss=0.2946, pruned_loss=0.09598, over 13800.00 frames. utt_duration=921.6 frames, utt_pad_proportion=0.07374, over 60.00 utterances.], tot_loss[loss=0.3237, simple_loss=0.3796, pruned_loss=0.1339, over 2773635.67 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07258, over 44737.84 utterances.], batch size: 60, lr: 5.71e-04
+2022-09-17 15:30:34,435 INFO [train.py:885] (1/2) Epoch 8, batch 1350, loss[loss=0.2297, simple_loss=0.2886, pruned_loss=0.08541, over 13880.00 frames. utt_duration=806.1 frames, utt_pad_proportion=0.0616, over 69.00 utterances.], tot_loss[loss=0.3178, simple_loss=0.3737, pruned_loss=0.1309, over 2771931.23 frames. utt_duration=261.1 frames, utt_pad_proportion=0.07179, over 42706.16 utterances.], batch size: 69, lr: 5.71e-04
+2022-09-17 15:31:04,289 INFO [train.py:885] (1/2) Epoch 8, batch 1400, loss[loss=0.3, simple_loss=0.3589, pruned_loss=0.1205, over 14284.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03988, over 180.00 utterances.], tot_loss[loss=0.3201, simple_loss=0.3759, pruned_loss=0.1322, over 2773999.26 frames. utt_duration=255 frames, utt_pad_proportion=0.07204, over 43775.79 utterances.], batch size: 180, lr: 5.71e-04
+2022-09-17 15:31:39,329 INFO [train.py:885] (1/2) Epoch 8, batch 1450, loss[loss=0.3321, simple_loss=0.3646, pruned_loss=0.1498, over 14010.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.05993, over 79.00 utterances.], tot_loss[loss=0.3139, simple_loss=0.3693, pruned_loss=0.1292, over 2780928.31 frames. utt_duration=271.4 frames, utt_pad_proportion=0.06833, over 41202.73 utterances.], batch size: 79, lr: 5.71e-04
+2022-09-17 15:32:09,338 INFO [train.py:885] (1/2) Epoch 8, batch 1500, loss[loss=0.2364, simple_loss=0.3009, pruned_loss=0.08602, over 14057.00 frames. utt_duration=575.3 frames, utt_pad_proportion=0.05538, over 98.00 utterances.], tot_loss[loss=0.3161, simple_loss=0.371, pruned_loss=0.1306, over 2783024.58 frames. utt_duration=267.4 frames, utt_pad_proportion=0.06841, over 41868.52 utterances.], batch size: 98, lr: 5.71e-04
+2022-09-17 15:32:38,273 INFO [train.py:885] (1/2) Epoch 8, batch 1550, loss[loss=0.4067, simple_loss=0.4466, pruned_loss=0.1835, over 14250.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04152, over 335.00 utterances.], tot_loss[loss=0.3158, simple_loss=0.3708, pruned_loss=0.1304, over 2784110.61 frames. utt_duration=267.5 frames, utt_pad_proportion=0.06746, over 41858.67 utterances.], batch size: 335, lr: 5.70e-04
+2022-09-17 15:33:08,360 INFO [train.py:885] (1/2) Epoch 8, batch 1600, loss[loss=0.391, simple_loss=0.4294, pruned_loss=0.1763, over 14346.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03705, over 283.00 utterances.], tot_loss[loss=0.3159, simple_loss=0.3707, pruned_loss=0.1305, over 2784768.32 frames. utt_duration=268.8 frames, utt_pad_proportion=0.06722, over 41665.88 utterances.], batch size: 283, lr: 5.70e-04
+2022-09-17 15:33:38,237 INFO [train.py:885] (1/2) Epoch 8, batch 1650, loss[loss=0.4355, simple_loss=0.514, pruned_loss=0.1785, over 13201.00 frames. utt_duration=82.35 frames, utt_pad_proportion=0.1049, over 653.00 utterances.], tot_loss[loss=0.3252, simple_loss=0.3801, pruned_loss=0.1352, over 2783971.35 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06989, over 45481.65 utterances.], batch size: 653, lr: 5.70e-04
+2022-09-17 15:34:07,455 INFO [train.py:885] (1/2) Epoch 8, batch 1700, loss[loss=0.2191, simple_loss=0.2897, pruned_loss=0.07422, over 13998.00 frames. utt_duration=801.6 frames, utt_pad_proportion=0.05696, over 70.00 utterances.], tot_loss[loss=0.3224, simple_loss=0.3777, pruned_loss=0.1335, over 2786998.96 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06964, over 45133.98 utterances.], batch size: 70, lr: 5.70e-04
+2022-09-17 15:34:37,316 INFO [train.py:885] (1/2) Epoch 8, batch 1750, loss[loss=0.1855, simple_loss=0.2337, pruned_loss=0.06864, over 13430.00 frames. utt_duration=1076 frames, utt_pad_proportion=0.08976, over 50.00 utterances.], tot_loss[loss=0.3214, simple_loss=0.3773, pruned_loss=0.1328, over 2788595.84 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06905, over 45380.30 utterances.], batch size: 50, lr: 5.70e-04
+2022-09-17 15:35:06,703 INFO [train.py:885] (1/2) Epoch 8, batch 1800, loss[loss=0.3902, simple_loss=0.4562, pruned_loss=0.1621, over 13735.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07453, over 411.00 utterances.], tot_loss[loss=0.3197, simple_loss=0.3753, pruned_loss=0.132, over 2791386.26 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06754, over 43855.07 utterances.], batch size: 411, lr: 5.70e-04
+2022-09-17 15:35:36,433 INFO [train.py:885] (1/2) Epoch 8, batch 1850, loss[loss=0.2524, simple_loss=0.315, pruned_loss=0.09487, over 13779.00 frames. utt_duration=800.4 frames, utt_pad_proportion=0.06713, over 69.00 utterances.], tot_loss[loss=0.32, simple_loss=0.3759, pruned_loss=0.132, over 2791779.81 frames. utt_duration=254 frames, utt_pad_proportion=0.06562, over 44228.18 utterances.], batch size: 69, lr: 5.69e-04
+2022-09-17 15:36:05,837 INFO [train.py:885] (1/2) Epoch 8, batch 1900, loss[loss=0.408, simple_loss=0.4467, pruned_loss=0.1846, over 14224.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04408, over 335.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3731, pruned_loss=0.1305, over 2792343.69 frames. utt_duration=264.2 frames, utt_pad_proportion=0.06314, over 42509.57 utterances.], batch size: 335, lr: 5.69e-04
+2022-09-17 15:36:35,679 INFO [train.py:885] (1/2) Epoch 8, batch 1950, loss[loss=0.1865, simple_loss=0.2412, pruned_loss=0.06584, over 13201.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1131, over 33.00 utterances.], tot_loss[loss=0.3187, simple_loss=0.3749, pruned_loss=0.1312, over 2784601.83 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06796, over 44129.81 utterances.], batch size: 33, lr: 5.69e-04
+2022-09-17 15:37:05,185 INFO [train.py:885] (1/2) Epoch 8, batch 2000, loss[loss=0.3414, simple_loss=0.4224, pruned_loss=0.1301, over 13742.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07368, over 411.00 utterances.], tot_loss[loss=0.3201, simple_loss=0.3761, pruned_loss=0.1321, over 2780456.29 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07023, over 44882.21 utterances.], batch size: 411, lr: 5.69e-04
+2022-09-17 15:37:34,939 INFO [train.py:885] (1/2) Epoch 8, batch 2050, loss[loss=0.3269, simple_loss=0.3803, pruned_loss=0.1368, over 14278.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04262, over 154.00 utterances.], tot_loss[loss=0.3217, simple_loss=0.3772, pruned_loss=0.1331, over 2781068.01 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07043, over 44964.87 utterances.], batch size: 154, lr: 5.69e-04
+2022-09-17 15:38:04,602 INFO [train.py:885] (1/2) Epoch 8, batch 2100, loss[loss=0.3596, simple_loss=0.423, pruned_loss=0.1481, over 14362.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03551, over 210.00 utterances.], tot_loss[loss=0.3247, simple_loss=0.3802, pruned_loss=0.1346, over 2784407.26 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06878, over 45344.39 utterances.], batch size: 210, lr: 5.69e-04
+2022-09-17 15:38:34,390 INFO [train.py:885] (1/2) Epoch 8, batch 2150, loss[loss=0.6006, simple_loss=0.6521, pruned_loss=0.2745, over 12476.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.1459, over 810.00 utterances.], tot_loss[loss=0.3237, simple_loss=0.3791, pruned_loss=0.1341, over 2784382.50 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06931, over 44733.91 utterances.], batch size: 810, lr: 5.68e-04
+2022-09-17 15:39:03,725 INFO [train.py:885] (1/2) Epoch 8, batch 2200, loss[loss=0.2122, simple_loss=0.2957, pruned_loss=0.06441, over 13884.00 frames. utt_duration=927 frames, utt_pad_proportion=0.06274, over 60.00 utterances.], tot_loss[loss=0.3252, simple_loss=0.3805, pruned_loss=0.1349, over 2782435.57 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07114, over 45387.78 utterances.], batch size: 60, lr: 5.68e-04
+2022-09-17 15:39:33,353 INFO [train.py:885] (1/2) Epoch 8, batch 2250, loss[loss=0.3322, simple_loss=0.3826, pruned_loss=0.1409, over 14292.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03942, over 180.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.3788, pruned_loss=0.1334, over 2784378.65 frames. utt_duration=248 frames, utt_pad_proportion=0.07026, over 45186.13 utterances.], batch size: 180, lr: 5.68e-04
+2022-09-17 15:40:02,656 INFO [train.py:885] (1/2) Epoch 8, batch 2300, loss[loss=0.4177, simple_loss=0.4484, pruned_loss=0.1935, over 14237.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04301, over 335.00 utterances.], tot_loss[loss=0.3235, simple_loss=0.379, pruned_loss=0.134, over 2782992.60 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07117, over 45398.52 utterances.], batch size: 335, lr: 5.68e-04
+2022-09-17 15:40:32,294 INFO [train.py:885] (1/2) Epoch 8, batch 2350, loss[loss=0.1948, simple_loss=0.2549, pruned_loss=0.06737, over 12973.00 frames. utt_duration=1997 frames, utt_pad_proportion=0.1266, over 26.00 utterances.], tot_loss[loss=0.327, simple_loss=0.3827, pruned_loss=0.1357, over 2782472.12 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07376, over 47003.06 utterances.], batch size: 26, lr: 5.68e-04
+2022-09-17 15:41:02,588 INFO [train.py:885] (1/2) Epoch 8, batch 2400, loss[loss=0.7296, simple_loss=0.7459, pruned_loss=0.3567, over 12556.00 frames. utt_duration=63.49 frames, utt_pad_proportion=0.1421, over 811.00 utterances.], tot_loss[loss=0.3309, simple_loss=0.3861, pruned_loss=0.1379, over 2780740.35 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07417, over 47282.95 utterances.], batch size: 811, lr: 5.68e-04
+2022-09-17 15:41:32,344 INFO [train.py:885] (1/2) Epoch 8, batch 2450, loss[loss=0.1618, simple_loss=0.21, pruned_loss=0.05678, over 12672.00 frames. utt_duration=2029 frames, utt_pad_proportion=0.1479, over 25.00 utterances.], tot_loss[loss=0.3312, simple_loss=0.3859, pruned_loss=0.1382, over 2783416.58 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07207, over 47104.05 utterances.], batch size: 25, lr: 5.68e-04
+2022-09-17 15:42:02,099 INFO [train.py:885] (1/2) Epoch 8, batch 2500, loss[loss=0.4363, simple_loss=0.461, pruned_loss=0.2058, over 14196.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04515, over 306.00 utterances.], tot_loss[loss=0.333, simple_loss=0.3873, pruned_loss=0.1393, over 2787339.61 frames. utt_duration=239 frames, utt_pad_proportion=0.06923, over 46940.08 utterances.], batch size: 306, lr: 5.67e-04
+2022-09-17 15:42:31,287 INFO [train.py:885] (1/2) Epoch 8, batch 2550, loss[loss=0.3631, simple_loss=0.4509, pruned_loss=0.1377, over 13624.00 frames. utt_duration=98.79 frames, utt_pad_proportion=0.07677, over 560.00 utterances.], tot_loss[loss=0.3309, simple_loss=0.3859, pruned_loss=0.138, over 2787759.23 frames. utt_duration=239.3 frames, utt_pad_proportion=0.06988, over 46889.11 utterances.], batch size: 560, lr: 5.67e-04
+2022-09-17 15:43:01,492 INFO [train.py:885] (1/2) Epoch 8, batch 2600, loss[loss=0.3512, simple_loss=0.408, pruned_loss=0.1472, over 14318.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03938, over 262.00 utterances.], tot_loss[loss=0.329, simple_loss=0.3837, pruned_loss=0.1372, over 2782407.09 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07071, over 45746.10 utterances.], batch size: 262, lr: 5.67e-04
+2022-09-17 15:43:30,513 INFO [train.py:885] (1/2) Epoch 8, batch 2650, loss[loss=0.2108, simple_loss=0.2723, pruned_loss=0.07464, over 14069.00 frames. utt_duration=713.7 frames, utt_pad_proportion=0.05594, over 79.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.3788, pruned_loss=0.1346, over 2782449.41 frames. utt_duration=255.3 frames, utt_pad_proportion=0.07035, over 43843.13 utterances.], batch size: 79, lr: 5.67e-04
+2022-09-17 15:44:00,533 INFO [train.py:885] (1/2) Epoch 8, batch 2700, loss[loss=0.3975, simple_loss=0.4369, pruned_loss=0.1791, over 14345.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03464, over 244.00 utterances.], tot_loss[loss=0.3245, simple_loss=0.3793, pruned_loss=0.1349, over 2785686.83 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06757, over 43714.90 utterances.], batch size: 244, lr: 5.67e-04
+2022-09-17 15:44:29,588 INFO [train.py:885] (1/2) Epoch 8, batch 2750, loss[loss=0.2887, simple_loss=0.3411, pruned_loss=0.1181, over 14103.00 frames. utt_duration=519.2 frames, utt_pad_proportion=0.04913, over 109.00 utterances.], tot_loss[loss=0.3225, simple_loss=0.3772, pruned_loss=0.1339, over 2782661.88 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06966, over 43708.75 utterances.], batch size: 109, lr: 5.67e-04
+2022-09-17 15:44:59,538 INFO [train.py:885] (1/2) Epoch 8, batch 2800, loss[loss=0.3506, simple_loss=0.4017, pruned_loss=0.1497, over 14351.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03631, over 210.00 utterances.], tot_loss[loss=0.327, simple_loss=0.3815, pruned_loss=0.1363, over 2781751.24 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07261, over 45564.54 utterances.], batch size: 210, lr: 5.66e-04
+2022-09-17 15:45:28,933 INFO [train.py:885] (1/2) Epoch 8, batch 2850, loss[loss=0.3661, simple_loss=0.4411, pruned_loss=0.1455, over 13712.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07804, over 478.00 utterances.], tot_loss[loss=0.3267, simple_loss=0.3818, pruned_loss=0.1359, over 2779273.18 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07259, over 46522.33 utterances.], batch size: 478, lr: 5.66e-04
+2022-09-17 15:45:58,840 INFO [train.py:885] (1/2) Epoch 8, batch 2900, loss[loss=0.3135, simple_loss=0.3832, pruned_loss=0.1219, over 14347.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03416, over 244.00 utterances.], tot_loss[loss=0.3219, simple_loss=0.3772, pruned_loss=0.1333, over 2781067.88 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07071, over 44997.72 utterances.], batch size: 244, lr: 5.66e-04
+2022-09-17 15:46:28,186 INFO [train.py:885] (1/2) Epoch 8, batch 2950, loss[loss=0.3468, simple_loss=0.4166, pruned_loss=0.1385, over 14009.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05486, over 365.00 utterances.], tot_loss[loss=0.3192, simple_loss=0.3747, pruned_loss=0.1319, over 2778054.39 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07154, over 44110.36 utterances.], batch size: 365, lr: 5.66e-04
+2022-09-17 15:46:57,841 INFO [train.py:885] (1/2) Epoch 8, batch 3000, loss[loss=0.2812, simple_loss=0.3618, pruned_loss=0.1004, over 14285.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03979, over 180.00 utterances.], tot_loss[loss=0.3224, simple_loss=0.3778, pruned_loss=0.1335, over 2772425.48 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07457, over 46239.36 utterances.], batch size: 180, lr: 5.66e-04
+2022-09-17 15:46:57,842 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 15:47:02,532 INFO [train.py:914] (1/2) Epoch 8, validation: loss=0.216, simple_loss=0.2905, pruned_loss=0.07074, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 15:47:32,015 INFO [train.py:885] (1/2) Epoch 8, batch 3050, loss[loss=0.3503, simple_loss=0.4079, pruned_loss=0.1464, over 14257.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03792, over 225.00 utterances.], tot_loss[loss=0.3244, simple_loss=0.3796, pruned_loss=0.1347, over 2773069.15 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07413, over 46212.72 utterances.], batch size: 225, lr: 5.66e-04
+2022-09-17 15:48:00,822 INFO [train.py:885] (1/2) Epoch 8, batch 3100, loss[loss=0.4167, simple_loss=0.4885, pruned_loss=0.1725, over 13624.00 frames. utt_duration=98.48 frames, utt_pad_proportion=0.0796, over 561.00 utterances.], tot_loss[loss=0.3269, simple_loss=0.381, pruned_loss=0.1364, over 2776682.66 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07236, over 46652.88 utterances.], batch size: 561, lr: 5.66e-04
+2022-09-17 15:48:30,924 INFO [train.py:885] (1/2) Epoch 8, batch 3150, loss[loss=0.2995, simple_loss=0.3679, pruned_loss=0.1155, over 14348.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03891, over 167.00 utterances.], tot_loss[loss=0.3274, simple_loss=0.3823, pruned_loss=0.1362, over 2772345.84 frames. utt_duration=232.5 frames, utt_pad_proportion=0.0757, over 47995.91 utterances.], batch size: 167, lr: 5.65e-04
+2022-09-17 15:49:00,426 INFO [train.py:885] (1/2) Epoch 8, batch 3200, loss[loss=0.2085, simple_loss=0.2733, pruned_loss=0.07184, over 13563.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08682, over 50.00 utterances.], tot_loss[loss=0.3264, simple_loss=0.3817, pruned_loss=0.1356, over 2780959.41 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07351, over 47063.80 utterances.], batch size: 50, lr: 5.65e-04
+2022-09-17 15:49:29,618 INFO [train.py:885] (1/2) Epoch 8, batch 3250, loss[loss=0.3051, simple_loss=0.35, pruned_loss=0.1301, over 14330.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.03607, over 130.00 utterances.], tot_loss[loss=0.3238, simple_loss=0.3793, pruned_loss=0.1342, over 2779078.43 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07299, over 46274.70 utterances.], batch size: 130, lr: 5.65e-04
+2022-09-17 15:49:59,715 INFO [train.py:885] (1/2) Epoch 8, batch 3300, loss[loss=0.4565, simple_loss=0.4762, pruned_loss=0.2184, over 14237.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04353, over 335.00 utterances.], tot_loss[loss=0.3247, simple_loss=0.3803, pruned_loss=0.1346, over 2782030.51 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07153, over 46403.11 utterances.], batch size: 335, lr: 5.65e-04
+2022-09-17 15:50:28,995 INFO [train.py:885] (1/2) Epoch 8, batch 3350, loss[loss=0.2903, simple_loss=0.3579, pruned_loss=0.1113, over 14318.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04015, over 154.00 utterances.], tot_loss[loss=0.3245, simple_loss=0.3798, pruned_loss=0.1347, over 2780527.39 frames. utt_duration=244.9 frames, utt_pad_proportion=0.0707, over 45695.93 utterances.], batch size: 154, lr: 5.65e-04
+2022-09-17 15:50:59,590 INFO [train.py:885] (1/2) Epoch 8, batch 3400, loss[loss=0.3227, simple_loss=0.3978, pruned_loss=0.1238, over 14013.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05463, over 365.00 utterances.], tot_loss[loss=0.3231, simple_loss=0.3786, pruned_loss=0.1338, over 2780347.21 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06998, over 45714.68 utterances.], batch size: 365, lr: 5.65e-04
+2022-09-17 15:51:28,413 INFO [train.py:885] (1/2) Epoch 8, batch 3450, loss[loss=0.4639, simple_loss=0.47, pruned_loss=0.2289, over 14192.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04492, over 306.00 utterances.], tot_loss[loss=0.3205, simple_loss=0.3752, pruned_loss=0.1329, over 2784842.31 frames. utt_duration=259.3 frames, utt_pad_proportion=0.0669, over 43209.82 utterances.], batch size: 306, lr: 5.64e-04
+2022-09-17 15:51:58,401 INFO [train.py:885] (1/2) Epoch 8, batch 3500, loss[loss=0.265, simple_loss=0.3339, pruned_loss=0.09811, over 14118.00 frames. utt_duration=577.7 frames, utt_pad_proportion=0.05289, over 98.00 utterances.], tot_loss[loss=0.3223, simple_loss=0.3773, pruned_loss=0.1337, over 2782236.76 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06919, over 44127.29 utterances.], batch size: 98, lr: 5.64e-04
+2022-09-17 15:52:27,543 INFO [train.py:885] (1/2) Epoch 8, batch 3550, loss[loss=0.345, simple_loss=0.3926, pruned_loss=0.1487, over 14387.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.0318, over 244.00 utterances.], tot_loss[loss=0.3239, simple_loss=0.3788, pruned_loss=0.1345, over 2785585.01 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06932, over 44746.47 utterances.], batch size: 244, lr: 5.64e-04
+2022-09-17 15:52:57,209 INFO [train.py:885] (1/2) Epoch 8, batch 3600, loss[loss=0.3204, simple_loss=0.3765, pruned_loss=0.1321, over 14290.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03976, over 180.00 utterances.], tot_loss[loss=0.3248, simple_loss=0.3804, pruned_loss=0.1346, over 2788475.69 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06869, over 45320.46 utterances.], batch size: 180, lr: 5.64e-04
+2022-09-17 15:53:27,073 INFO [train.py:885] (1/2) Epoch 8, batch 3650, loss[loss=0.346, simple_loss=0.391, pruned_loss=0.1505, over 14326.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03675, over 180.00 utterances.], tot_loss[loss=0.3269, simple_loss=0.3823, pruned_loss=0.1358, over 2785076.73 frames. utt_duration=240.9 frames, utt_pad_proportion=0.06998, over 46524.08 utterances.], batch size: 180, lr: 5.64e-04
+2022-09-17 15:53:57,201 INFO [train.py:885] (1/2) Epoch 8, batch 3700, loss[loss=0.3412, simple_loss=0.4293, pruned_loss=0.1266, over 13571.00 frames. utt_duration=115.3 frames, utt_pad_proportion=0.08509, over 477.00 utterances.], tot_loss[loss=0.3246, simple_loss=0.3805, pruned_loss=0.1344, over 2787989.61 frames. utt_duration=243.4 frames, utt_pad_proportion=0.06899, over 46098.04 utterances.], batch size: 477, lr: 5.64e-04
+2022-09-17 15:54:26,730 INFO [train.py:885] (1/2) Epoch 8, batch 3750, loss[loss=0.3868, simple_loss=0.4236, pruned_loss=0.175, over 14313.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03972, over 262.00 utterances.], tot_loss[loss=0.3253, simple_loss=0.3811, pruned_loss=0.1348, over 2785594.81 frames. utt_duration=244.1 frames, utt_pad_proportion=0.06923, over 45922.89 utterances.], batch size: 262, lr: 5.64e-04
+2022-09-17 15:54:55,910 INFO [train.py:885] (1/2) Epoch 8, batch 3800, loss[loss=0.3887, simple_loss=0.43, pruned_loss=0.1737, over 14221.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04285, over 306.00 utterances.], tot_loss[loss=0.3248, simple_loss=0.3802, pruned_loss=0.1347, over 2787248.90 frames. utt_duration=248.9 frames, utt_pad_proportion=0.0671, over 45063.17 utterances.], batch size: 306, lr: 5.63e-04
+2022-09-17 15:55:24,912 INFO [train.py:885] (1/2) Epoch 8, batch 3850, loss[loss=0.3978, simple_loss=0.4365, pruned_loss=0.1796, over 14260.00 frames. utt_duration=188 frames, utt_pad_proportion=0.0409, over 306.00 utterances.], tot_loss[loss=0.3246, simple_loss=0.3798, pruned_loss=0.1347, over 2786719.38 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06684, over 44840.21 utterances.], batch size: 306, lr: 5.63e-04
+2022-09-17 15:55:54,610 INFO [train.py:885] (1/2) Epoch 8, batch 3900, loss[loss=0.5512, simple_loss=0.5884, pruned_loss=0.257, over 13152.00 frames. utt_duration=82.06 frames, utt_pad_proportion=0.1081, over 653.00 utterances.], tot_loss[loss=0.3285, simple_loss=0.3834, pruned_loss=0.1368, over 2785049.63 frames. utt_duration=239.1 frames, utt_pad_proportion=0.06989, over 46887.06 utterances.], batch size: 653, lr: 5.63e-04
+2022-09-17 15:56:24,219 INFO [train.py:885] (1/2) Epoch 8, batch 3950, loss[loss=0.2019, simple_loss=0.2657, pruned_loss=0.06905, over 12982.00 frames. utt_duration=2079 frames, utt_pad_proportion=0.1324, over 25.00 utterances.], tot_loss[loss=0.3247, simple_loss=0.3803, pruned_loss=0.1346, over 2782159.50 frames. utt_duration=242.6 frames, utt_pad_proportion=0.06997, over 46147.58 utterances.], batch size: 25, lr: 5.63e-04
+2022-09-17 15:56:53,556 INFO [train.py:885] (1/2) Epoch 8, batch 4000, loss[loss=0.6043, simple_loss=0.6603, pruned_loss=0.2742, over 12512.00 frames. utt_duration=63.38 frames, utt_pad_proportion=0.1435, over 810.00 utterances.], tot_loss[loss=0.3287, simple_loss=0.3839, pruned_loss=0.1367, over 2785140.62 frames. utt_duration=236.8 frames, utt_pad_proportion=0.06999, over 47348.29 utterances.], batch size: 810, lr: 5.63e-04
+2022-09-17 15:57:23,585 INFO [train.py:885] (1/2) Epoch 8, batch 4050, loss[loss=0.1919, simple_loss=0.2535, pruned_loss=0.06512, over 13600.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.09055, over 42.00 utterances.], tot_loss[loss=0.3267, simple_loss=0.3815, pruned_loss=0.136, over 2786332.42 frames. utt_duration=245.2 frames, utt_pad_proportion=0.0699, over 45732.14 utterances.], batch size: 42, lr: 5.63e-04
+2022-09-17 15:57:53,313 INFO [train.py:885] (1/2) Epoch 8, batch 4100, loss[loss=0.299, simple_loss=0.3684, pruned_loss=0.1148, over 14227.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04698, over 141.00 utterances.], tot_loss[loss=0.3237, simple_loss=0.3789, pruned_loss=0.1342, over 2778391.58 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07268, over 45434.99 utterances.], batch size: 141, lr: 5.62e-04
+2022-09-17 15:58:22,747 INFO [train.py:885] (1/2) Epoch 8, batch 4150, loss[loss=0.3842, simple_loss=0.4304, pruned_loss=0.169, over 14227.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04268, over 306.00 utterances.], tot_loss[loss=0.3223, simple_loss=0.3775, pruned_loss=0.1335, over 2779352.34 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07136, over 44307.89 utterances.], batch size: 306, lr: 5.62e-04
+2022-09-17 15:58:52,068 INFO [train.py:885] (1/2) Epoch 8, batch 4200, loss[loss=0.4129, simple_loss=0.443, pruned_loss=0.1914, over 14174.00 frames. utt_duration=186.9 frames, utt_pad_proportion=0.04627, over 306.00 utterances.], tot_loss[loss=0.325, simple_loss=0.3799, pruned_loss=0.135, over 2777791.09 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07317, over 44833.93 utterances.], batch size: 306, lr: 5.62e-04
+2022-09-17 15:59:21,504 INFO [train.py:885] (1/2) Epoch 8, batch 4250, loss[loss=0.5733, simple_loss=0.6343, pruned_loss=0.2561, over 12480.00 frames. utt_duration=63.21 frames, utt_pad_proportion=0.1459, over 810.00 utterances.], tot_loss[loss=0.3232, simple_loss=0.3779, pruned_loss=0.1343, over 2781801.48 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07184, over 44108.25 utterances.], batch size: 810, lr: 5.62e-04
+2022-09-17 15:59:50,745 INFO [train.py:885] (1/2) Epoch 8, batch 4300, loss[loss=0.2789, simple_loss=0.3551, pruned_loss=0.1014, over 14245.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04554, over 141.00 utterances.], tot_loss[loss=0.3219, simple_loss=0.3771, pruned_loss=0.1333, over 2785533.09 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07148, over 43858.78 utterances.], batch size: 141, lr: 5.62e-04
+2022-09-17 16:00:21,244 INFO [train.py:885] (1/2) Epoch 8, batch 4350, loss[loss=0.3586, simple_loss=0.4315, pruned_loss=0.1429, over 13776.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07069, over 411.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3724, pruned_loss=0.1304, over 2787362.11 frames. utt_duration=264.5 frames, utt_pad_proportion=0.06889, over 42390.71 utterances.], batch size: 411, lr: 5.62e-04
+2022-09-17 16:00:49,643 INFO [train.py:885] (1/2) Epoch 8, batch 4400, loss[loss=0.2308, simple_loss=0.2985, pruned_loss=0.08157, over 14143.00 frames. utt_duration=717.5 frames, utt_pad_proportion=0.05093, over 79.00 utterances.], tot_loss[loss=0.3155, simple_loss=0.3717, pruned_loss=0.1296, over 2787938.30 frames. utt_duration=263.6 frames, utt_pad_proportion=0.06717, over 42549.74 utterances.], batch size: 79, lr: 5.62e-04
+2022-09-17 16:01:20,301 INFO [train.py:885] (1/2) Epoch 8, batch 4450, loss[loss=0.2816, simple_loss=0.3227, pruned_loss=0.1203, over 14216.00 frames. utt_duration=640.4 frames, utt_pad_proportion=0.04563, over 89.00 utterances.], tot_loss[loss=0.3223, simple_loss=0.3773, pruned_loss=0.1337, over 2786503.09 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07082, over 44245.47 utterances.], batch size: 89, lr: 5.61e-04
+2022-09-17 16:01:49,692 INFO [train.py:885] (1/2) Epoch 8, batch 4500, loss[loss=0.4082, simple_loss=0.4716, pruned_loss=0.1724, over 13637.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08108, over 477.00 utterances.], tot_loss[loss=0.3206, simple_loss=0.3751, pruned_loss=0.1331, over 2789386.97 frames. utt_duration=263.2 frames, utt_pad_proportion=0.06946, over 42624.87 utterances.], batch size: 477, lr: 5.61e-04
+2022-09-17 16:02:19,243 INFO [train.py:885] (1/2) Epoch 8, batch 4550, loss[loss=0.3333, simple_loss=0.392, pruned_loss=0.1373, over 14360.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03729, over 244.00 utterances.], tot_loss[loss=0.3216, simple_loss=0.3771, pruned_loss=0.1331, over 2783623.60 frames. utt_duration=250 frames, utt_pad_proportion=0.0711, over 44797.33 utterances.], batch size: 244, lr: 5.61e-04
+2022-09-17 16:02:48,501 INFO [train.py:885] (1/2) Epoch 8, batch 4600, loss[loss=0.3804, simple_loss=0.4588, pruned_loss=0.151, over 13564.00 frames. utt_duration=98.38 frames, utt_pad_proportion=0.08054, over 560.00 utterances.], tot_loss[loss=0.3193, simple_loss=0.3757, pruned_loss=0.1315, over 2782328.51 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07053, over 44147.21 utterances.], batch size: 560, lr: 5.61e-04
+2022-09-17 16:03:18,520 INFO [train.py:885] (1/2) Epoch 8, batch 4650, loss[loss=0.5821, simple_loss=0.6082, pruned_loss=0.278, over 13178.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.377, pruned_loss=0.1328, over 2779263.17 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07117, over 44644.26 utterances.], batch size: 653, lr: 5.61e-04
+2022-09-17 16:03:48,359 INFO [train.py:885] (1/2) Epoch 8, batch 4700, loss[loss=0.4273, simple_loss=0.4594, pruned_loss=0.1977, over 14359.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03568, over 195.00 utterances.], tot_loss[loss=0.3219, simple_loss=0.3782, pruned_loss=0.1328, over 2775328.44 frames. utt_duration=244 frames, utt_pad_proportion=0.07458, over 45772.96 utterances.], batch size: 195, lr: 5.61e-04
+2022-09-17 16:04:17,660 INFO [train.py:885] (1/2) Epoch 8, batch 4750, loss[loss=0.4199, simple_loss=0.4463, pruned_loss=0.1968, over 14238.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04242, over 225.00 utterances.], tot_loss[loss=0.3222, simple_loss=0.3772, pruned_loss=0.1336, over 2778762.98 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07233, over 44034.74 utterances.], batch size: 225, lr: 5.60e-04
+2022-09-17 16:04:46,815 INFO [train.py:885] (1/2) Epoch 8, batch 4800, loss[loss=0.2682, simple_loss=0.3134, pruned_loss=0.1116, over 13621.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08141, over 50.00 utterances.], tot_loss[loss=0.3221, simple_loss=0.3771, pruned_loss=0.1335, over 2781767.51 frames. utt_duration=254.1 frames, utt_pad_proportion=0.07102, over 44040.81 utterances.], batch size: 50, lr: 5.60e-04
+2022-09-17 16:05:16,384 INFO [train.py:885] (1/2) Epoch 8, batch 4850, loss[loss=0.2643, simple_loss=0.3337, pruned_loss=0.09747, over 14113.00 frames. utt_duration=577.4 frames, utt_pad_proportion=0.05194, over 98.00 utterances.], tot_loss[loss=0.3265, simple_loss=0.3809, pruned_loss=0.1361, over 2779467.45 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07254, over 45595.37 utterances.], batch size: 98, lr: 5.60e-04
+2022-09-17 16:05:45,703 INFO [train.py:885] (1/2) Epoch 8, batch 4900, loss[loss=0.3528, simple_loss=0.4348, pruned_loss=0.1354, over 13633.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08105, over 477.00 utterances.], tot_loss[loss=0.3282, simple_loss=0.3826, pruned_loss=0.1369, over 2781734.56 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07111, over 45742.84 utterances.], batch size: 477, lr: 5.60e-04
+2022-09-17 16:06:15,750 INFO [train.py:885] (1/2) Epoch 8, batch 4950, loss[loss=0.1679, simple_loss=0.2138, pruned_loss=0.06102, over 13196.00 frames. utt_duration=1601 frames, utt_pad_proportion=0.0982, over 33.00 utterances.], tot_loss[loss=0.3256, simple_loss=0.3805, pruned_loss=0.1354, over 2782113.17 frames. utt_duration=249.1 frames, utt_pad_proportion=0.0695, over 44943.47 utterances.], batch size: 33, lr: 5.60e-04
+2022-09-17 16:06:46,435 INFO [train.py:885] (1/2) Epoch 8, batch 5000, loss[loss=0.339, simple_loss=0.3834, pruned_loss=0.1473, over 14340.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03941, over 167.00 utterances.], tot_loss[loss=0.3295, simple_loss=0.3847, pruned_loss=0.1371, over 2775797.13 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07465, over 47280.18 utterances.], batch size: 167, lr: 5.60e-04
+2022-09-17 16:07:15,619 INFO [train.py:885] (1/2) Epoch 8, batch 5050, loss[loss=0.3018, simple_loss=0.3455, pruned_loss=0.129, over 14078.00 frames. utt_duration=576 frames, utt_pad_proportion=0.05422, over 98.00 utterances.], tot_loss[loss=0.3266, simple_loss=0.3817, pruned_loss=0.1357, over 2779463.64 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07215, over 46170.09 utterances.], batch size: 98, lr: 5.60e-04
+2022-09-17 16:07:44,709 INFO [train.py:885] (1/2) Epoch 8, batch 5100, loss[loss=0.1938, simple_loss=0.224, pruned_loss=0.08182, over 12499.00 frames. utt_duration=2001 frames, utt_pad_proportion=0.144, over 25.00 utterances.], tot_loss[loss=0.3289, simple_loss=0.3845, pruned_loss=0.1367, over 2777015.53 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07441, over 48244.11 utterances.], batch size: 25, lr: 5.59e-04
+2022-09-17 16:08:15,104 INFO [train.py:885] (1/2) Epoch 8, batch 5150, loss[loss=0.2783, simple_loss=0.3505, pruned_loss=0.1031, over 14345.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03891, over 167.00 utterances.], tot_loss[loss=0.3284, simple_loss=0.3831, pruned_loss=0.1369, over 2781187.73 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07208, over 46903.98 utterances.], batch size: 167, lr: 5.59e-04
+2022-09-17 16:08:43,933 INFO [train.py:885] (1/2) Epoch 8, batch 5200, loss[loss=0.2747, simple_loss=0.3299, pruned_loss=0.1098, over 14306.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.04008, over 130.00 utterances.], tot_loss[loss=0.3333, simple_loss=0.3876, pruned_loss=0.1395, over 2781070.16 frames. utt_duration=229.6 frames, utt_pad_proportion=0.07381, over 48757.68 utterances.], batch size: 130, lr: 5.59e-04
+2022-09-17 16:09:13,599 INFO [train.py:885] (1/2) Epoch 8, batch 5250, loss[loss=0.2807, simple_loss=0.3454, pruned_loss=0.108, over 14240.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04631, over 141.00 utterances.], tot_loss[loss=0.3262, simple_loss=0.3811, pruned_loss=0.1357, over 2785904.60 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07235, over 46176.60 utterances.], batch size: 141, lr: 5.59e-04
+2022-09-17 16:09:43,841 INFO [train.py:885] (1/2) Epoch 8, batch 5300, loss[loss=0.3323, simple_loss=0.3898, pruned_loss=0.1375, over 14266.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04439, over 141.00 utterances.], tot_loss[loss=0.3286, simple_loss=0.3836, pruned_loss=0.1369, over 2779173.62 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07458, over 47944.21 utterances.], batch size: 141, lr: 5.59e-04
+2022-09-17 16:10:13,426 INFO [train.py:885] (1/2) Epoch 8, batch 5350, loss[loss=0.3408, simple_loss=0.4245, pruned_loss=0.1286, over 13639.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07995, over 477.00 utterances.], tot_loss[loss=0.3251, simple_loss=0.3806, pruned_loss=0.1348, over 2776935.90 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07412, over 47616.19 utterances.], batch size: 477, lr: 5.59e-04
+2022-09-17 16:10:43,077 INFO [train.py:885] (1/2) Epoch 8, batch 5400, loss[loss=0.311, simple_loss=0.3545, pruned_loss=0.1337, over 14271.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.04253, over 130.00 utterances.], tot_loss[loss=0.3251, simple_loss=0.38, pruned_loss=0.1351, over 2775259.11 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07532, over 47058.01 utterances.], batch size: 130, lr: 5.59e-04
+2022-09-17 16:11:11,960 INFO [train.py:885] (1/2) Epoch 8, batch 5450, loss[loss=0.3734, simple_loss=0.4315, pruned_loss=0.1576, over 14010.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05555, over 365.00 utterances.], tot_loss[loss=0.3261, simple_loss=0.381, pruned_loss=0.1356, over 2778267.76 frames. utt_duration=239 frames, utt_pad_proportion=0.07538, over 46795.36 utterances.], batch size: 365, lr: 5.58e-04
+2022-09-17 16:11:41,134 INFO [train.py:885] (1/2) Epoch 8, batch 5500, loss[loss=0.2356, simple_loss=0.2963, pruned_loss=0.08744, over 14086.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05174, over 98.00 utterances.], tot_loss[loss=0.3239, simple_loss=0.3795, pruned_loss=0.1342, over 2777768.71 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07367, over 46276.68 utterances.], batch size: 98, lr: 5.58e-04
+2022-09-17 16:12:10,530 INFO [train.py:885] (1/2) Epoch 8, batch 5550, loss[loss=0.238, simple_loss=0.3034, pruned_loss=0.08631, over 13999.00 frames. utt_duration=710.2 frames, utt_pad_proportion=0.06061, over 79.00 utterances.], tot_loss[loss=0.3264, simple_loss=0.3812, pruned_loss=0.1359, over 2771111.31 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07484, over 46410.19 utterances.], batch size: 79, lr: 5.58e-04
+2022-09-17 16:12:40,198 INFO [train.py:885] (1/2) Epoch 8, batch 5600, loss[loss=0.3134, simple_loss=0.3827, pruned_loss=0.122, over 14339.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03657, over 210.00 utterances.], tot_loss[loss=0.3257, simple_loss=0.3806, pruned_loss=0.1353, over 2770840.84 frames. utt_duration=241 frames, utt_pad_proportion=0.07561, over 46281.14 utterances.], batch size: 210, lr: 5.58e-04
+2022-09-17 16:13:09,514 INFO [train.py:885] (1/2) Epoch 8, batch 5650, loss[loss=0.3027, simple_loss=0.366, pruned_loss=0.1197, over 14233.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04632, over 141.00 utterances.], tot_loss[loss=0.3252, simple_loss=0.3805, pruned_loss=0.135, over 2774166.81 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07408, over 46057.50 utterances.], batch size: 141, lr: 5.58e-04
+2022-09-17 16:13:39,319 INFO [train.py:885] (1/2) Epoch 8, batch 5700, loss[loss=0.3449, simple_loss=0.3864, pruned_loss=0.1517, over 14296.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.0422, over 141.00 utterances.], tot_loss[loss=0.3274, simple_loss=0.3827, pruned_loss=0.1361, over 2778315.38 frames. utt_duration=240 frames, utt_pad_proportion=0.0718, over 46598.84 utterances.], batch size: 141, lr: 5.58e-04
+2022-09-17 16:14:16,479 INFO [train.py:885] (1/2) Epoch 8, batch 5750, loss[loss=0.3787, simple_loss=0.448, pruned_loss=0.1548, over 13664.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07312, over 478.00 utterances.], tot_loss[loss=0.3227, simple_loss=0.3781, pruned_loss=0.1336, over 2781307.26 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06882, over 44827.91 utterances.], batch size: 478, lr: 5.58e-04
+2022-09-17 16:14:46,316 INFO [train.py:885] (1/2) Epoch 8, batch 5800, loss[loss=0.4353, simple_loss=0.4972, pruned_loss=0.1867, over 13601.00 frames. utt_duration=98.47 frames, utt_pad_proportion=0.07972, over 560.00 utterances.], tot_loss[loss=0.3268, simple_loss=0.3818, pruned_loss=0.1358, over 2783843.49 frames. utt_duration=242.2 frames, utt_pad_proportion=0.06855, over 46259.03 utterances.], batch size: 560, lr: 5.57e-04
+2022-09-17 16:15:15,897 INFO [train.py:885] (1/2) Epoch 8, batch 5850, loss[loss=0.3356, simple_loss=0.3944, pruned_loss=0.1384, over 14323.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.0386, over 262.00 utterances.], tot_loss[loss=0.3269, simple_loss=0.3818, pruned_loss=0.1361, over 2783067.75 frames. utt_duration=241.8 frames, utt_pad_proportion=0.06971, over 46320.44 utterances.], batch size: 262, lr: 5.57e-04
+2022-09-17 16:15:45,225 INFO [train.py:885] (1/2) Epoch 8, batch 5900, loss[loss=0.5171, simple_loss=0.5704, pruned_loss=0.2319, over 13168.00 frames. utt_duration=82.21 frames, utt_pad_proportion=0.1064, over 653.00 utterances.], tot_loss[loss=0.3245, simple_loss=0.3796, pruned_loss=0.1347, over 2781671.90 frames. utt_duration=242.9 frames, utt_pad_proportion=0.06911, over 46095.12 utterances.], batch size: 653, lr: 5.57e-04
+2022-09-17 16:16:15,102 INFO [train.py:885] (1/2) Epoch 8, batch 5950, loss[loss=0.3039, simple_loss=0.3673, pruned_loss=0.1203, over 14368.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03743, over 167.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.38, pruned_loss=0.1341, over 2782840.48 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07013, over 46493.52 utterances.], batch size: 167, lr: 5.57e-04
+2022-09-17 16:16:44,934 INFO [train.py:885] (1/2) Epoch 8, batch 6000, loss[loss=0.4268, simple_loss=0.5021, pruned_loss=0.1757, over 13173.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1062, over 653.00 utterances.], tot_loss[loss=0.3276, simple_loss=0.3831, pruned_loss=0.1361, over 2775191.43 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07486, over 47774.44 utterances.], batch size: 653, lr: 5.57e-04
+2022-09-17 16:16:44,935 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 16:16:49,103 INFO [train.py:914] (1/2) Epoch 8, validation: loss=0.2186, simple_loss=0.2935, pruned_loss=0.07178, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 16:17:17,650 INFO [train.py:885] (1/2) Epoch 8, batch 6050, loss[loss=0.4957, simple_loss=0.5495, pruned_loss=0.2209, over 13115.00 frames. utt_duration=81.95 frames, utt_pad_proportion=0.1093, over 653.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.3785, pruned_loss=0.1335, over 2777468.32 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07263, over 45904.54 utterances.], batch size: 653, lr: 5.57e-04
+2022-09-17 16:17:47,966 INFO [train.py:885] (1/2) Epoch 8, batch 6100, loss[loss=0.4026, simple_loss=0.4778, pruned_loss=0.1637, over 13615.00 frames. utt_duration=98.6 frames, utt_pad_proportion=0.07849, over 560.00 utterances.], tot_loss[loss=0.3247, simple_loss=0.3795, pruned_loss=0.135, over 2774054.44 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07324, over 46261.97 utterances.], batch size: 560, lr: 5.56e-04
+2022-09-17 16:18:16,758 INFO [train.py:885] (1/2) Epoch 8, batch 6150, loss[loss=0.1984, simple_loss=0.2617, pruned_loss=0.06751, over 13869.00 frames. utt_duration=805.7 frames, utt_pad_proportion=0.06098, over 69.00 utterances.], tot_loss[loss=0.3219, simple_loss=0.3771, pruned_loss=0.1333, over 2783258.04 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06972, over 44162.60 utterances.], batch size: 69, lr: 5.56e-04
+2022-09-17 16:18:46,506 INFO [train.py:885] (1/2) Epoch 8, batch 6200, loss[loss=0.5605, simple_loss=0.5903, pruned_loss=0.2654, over 13246.00 frames. utt_duration=82.62 frames, utt_pad_proportion=0.1019, over 653.00 utterances.], tot_loss[loss=0.3223, simple_loss=0.3766, pruned_loss=0.134, over 2783346.13 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06894, over 43479.00 utterances.], batch size: 653, lr: 5.56e-04
+2022-09-17 16:19:16,328 INFO [train.py:885] (1/2) Epoch 8, batch 6250, loss[loss=0.7618, simple_loss=0.7538, pruned_loss=0.3849, over 12456.00 frames. utt_duration=63.09 frames, utt_pad_proportion=0.1474, over 810.00 utterances.], tot_loss[loss=0.3272, simple_loss=0.382, pruned_loss=0.1362, over 2779842.28 frames. utt_duration=242 frames, utt_pad_proportion=0.07294, over 46226.87 utterances.], batch size: 810, lr: 5.56e-04
+2022-09-17 16:19:52,455 INFO [train.py:885] (1/2) Epoch 8, batch 6300, loss[loss=0.3291, simple_loss=0.3797, pruned_loss=0.1393, over 14276.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04048, over 225.00 utterances.], tot_loss[loss=0.324, simple_loss=0.3796, pruned_loss=0.1342, over 2781610.91 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06999, over 45545.40 utterances.], batch size: 225, lr: 5.56e-04
+2022-09-17 16:20:22,057 INFO [train.py:885] (1/2) Epoch 8, batch 6350, loss[loss=0.207, simple_loss=0.2866, pruned_loss=0.06368, over 12454.00 frames. utt_duration=1995 frames, utt_pad_proportion=0.148, over 25.00 utterances.], tot_loss[loss=0.3217, simple_loss=0.3771, pruned_loss=0.1332, over 2779315.32 frames. utt_duration=250 frames, utt_pad_proportion=0.07106, over 44725.96 utterances.], batch size: 25, lr: 5.56e-04
+2022-09-17 16:20:51,463 INFO [train.py:885] (1/2) Epoch 8, batch 6400, loss[loss=0.322, simple_loss=0.4086, pruned_loss=0.1177, over 13751.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07283, over 411.00 utterances.], tot_loss[loss=0.3192, simple_loss=0.3752, pruned_loss=0.1316, over 2782423.76 frames. utt_duration=252 frames, utt_pad_proportion=0.07136, over 44430.22 utterances.], batch size: 411, lr: 5.56e-04
+2022-09-17 16:21:21,049 INFO [train.py:885] (1/2) Epoch 8, batch 6450, loss[loss=0.2638, simple_loss=0.3196, pruned_loss=0.104, over 14193.00 frames. utt_duration=580.9 frames, utt_pad_proportion=0.04774, over 98.00 utterances.], tot_loss[loss=0.3188, simple_loss=0.3756, pruned_loss=0.131, over 2781506.51 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07234, over 45112.88 utterances.], batch size: 98, lr: 5.55e-04
+2022-09-17 16:21:50,876 INFO [train.py:885] (1/2) Epoch 8, batch 6500, loss[loss=0.2044, simple_loss=0.2711, pruned_loss=0.06891, over 14079.00 frames. utt_duration=714.4 frames, utt_pad_proportion=0.05378, over 79.00 utterances.], tot_loss[loss=0.3209, simple_loss=0.3768, pruned_loss=0.1325, over 2779091.34 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07279, over 45419.82 utterances.], batch size: 79, lr: 5.55e-04
+2022-09-17 16:22:19,818 INFO [train.py:885] (1/2) Epoch 8, batch 6550, loss[loss=0.1857, simple_loss=0.2412, pruned_loss=0.0651, over 13683.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.07817, over 50.00 utterances.], tot_loss[loss=0.3212, simple_loss=0.3767, pruned_loss=0.1328, over 2780208.92 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07203, over 45206.84 utterances.], batch size: 50, lr: 5.55e-04
+2022-09-17 16:22:49,607 INFO [train.py:885] (1/2) Epoch 8, batch 6600, loss[loss=0.3732, simple_loss=0.4099, pruned_loss=0.1682, over 14312.00 frames. utt_duration=344.1 frames, utt_pad_proportion=0.04158, over 167.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.3784, pruned_loss=0.1336, over 2785270.71 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06948, over 45485.67 utterances.], batch size: 167, lr: 5.55e-04
+2022-09-17 16:23:19,665 INFO [train.py:885] (1/2) Epoch 8, batch 6650, loss[loss=0.213, simple_loss=0.2708, pruned_loss=0.07757, over 13481.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.09242, over 50.00 utterances.], tot_loss[loss=0.3224, simple_loss=0.3777, pruned_loss=0.1336, over 2781759.66 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07092, over 45000.61 utterances.], batch size: 50, lr: 5.55e-04
+2022-09-17 16:23:49,545 INFO [train.py:885] (1/2) Epoch 8, batch 6700, loss[loss=0.1888, simple_loss=0.2403, pruned_loss=0.06862, over 13504.00 frames. utt_duration=1638 frames, utt_pad_proportion=0.09327, over 33.00 utterances.], tot_loss[loss=0.3221, simple_loss=0.3779, pruned_loss=0.1331, over 2780150.60 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07083, over 45908.11 utterances.], batch size: 33, lr: 5.55e-04
+2022-09-17 16:24:19,126 INFO [train.py:885] (1/2) Epoch 8, batch 6750, loss[loss=0.412, simple_loss=0.4446, pruned_loss=0.1898, over 14269.00 frames. utt_duration=171.8 frames, utt_pad_proportion=0.04022, over 335.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.3798, pruned_loss=0.1342, over 2781672.97 frames. utt_duration=241.6 frames, utt_pad_proportion=0.06959, over 46333.00 utterances.], batch size: 335, lr: 5.55e-04
+2022-09-17 16:24:48,099 INFO [train.py:885] (1/2) Epoch 8, batch 6800, loss[loss=0.1731, simple_loss=0.2313, pruned_loss=0.0575, over 13482.00 frames. utt_duration=1317 frames, utt_pad_proportion=0.07856, over 41.00 utterances.], tot_loss[loss=0.3233, simple_loss=0.3795, pruned_loss=0.1336, over 2773903.35 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07358, over 46587.32 utterances.], batch size: 41, lr: 5.54e-04
+2022-09-17 16:25:18,528 INFO [train.py:885] (1/2) Epoch 8, batch 6850, loss[loss=0.2517, simple_loss=0.3078, pruned_loss=0.09777, over 14152.00 frames. utt_duration=579.2 frames, utt_pad_proportion=0.0505, over 98.00 utterances.], tot_loss[loss=0.3233, simple_loss=0.3795, pruned_loss=0.1336, over 2771963.20 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07378, over 47168.28 utterances.], batch size: 98, lr: 5.54e-04
+2022-09-17 16:25:47,970 INFO [train.py:885] (1/2) Epoch 8, batch 6900, loss[loss=0.5654, simple_loss=0.621, pruned_loss=0.255, over 12519.00 frames. utt_duration=63.32 frames, utt_pad_proportion=0.1443, over 811.00 utterances.], tot_loss[loss=0.3233, simple_loss=0.3791, pruned_loss=0.1338, over 2775525.08 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07438, over 46671.31 utterances.], batch size: 811, lr: 5.54e-04
+2022-09-17 16:26:17,520 INFO [train.py:885] (1/2) Epoch 8, batch 6950, loss[loss=0.3299, simple_loss=0.3821, pruned_loss=0.1389, over 14312.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04046, over 154.00 utterances.], tot_loss[loss=0.3255, simple_loss=0.3817, pruned_loss=0.1346, over 2778785.61 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07414, over 47455.09 utterances.], batch size: 154, lr: 5.54e-04
+2022-09-17 16:26:54,180 INFO [train.py:885] (1/2) Epoch 8, batch 7000, loss[loss=0.3764, simple_loss=0.42, pruned_loss=0.1664, over 14322.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03877, over 262.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.3787, pruned_loss=0.1334, over 2782118.83 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07089, over 45670.26 utterances.], batch size: 262, lr: 5.54e-04
+2022-09-17 16:27:23,472 INFO [train.py:885] (1/2) Epoch 8, batch 7050, loss[loss=0.4088, simple_loss=0.4406, pruned_loss=0.1885, over 14181.00 frames. utt_duration=187 frames, utt_pad_proportion=0.0458, over 306.00 utterances.], tot_loss[loss=0.3242, simple_loss=0.3804, pruned_loss=0.134, over 2783425.45 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07207, over 46222.44 utterances.], batch size: 306, lr: 5.54e-04
+2022-09-17 16:27:53,143 INFO [train.py:885] (1/2) Epoch 8, batch 7100, loss[loss=0.3546, simple_loss=0.44, pruned_loss=0.1346, over 13580.00 frames. utt_duration=98.37 frames, utt_pad_proportion=0.08064, over 560.00 utterances.], tot_loss[loss=0.3218, simple_loss=0.3783, pruned_loss=0.1327, over 2784270.76 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07123, over 45894.60 utterances.], batch size: 560, lr: 5.54e-04
+2022-09-17 16:28:22,464 INFO [train.py:885] (1/2) Epoch 8, batch 7150, loss[loss=0.332, simple_loss=0.421, pruned_loss=0.1215, over 13639.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08053, over 477.00 utterances.], tot_loss[loss=0.3179, simple_loss=0.3746, pruned_loss=0.1306, over 2784031.24 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06948, over 44491.31 utterances.], batch size: 477, lr: 5.53e-04
+2022-09-17 16:28:51,177 INFO [train.py:885] (1/2) Epoch 8, batch 7200, loss[loss=0.386, simple_loss=0.4346, pruned_loss=0.1687, over 14318.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03864, over 283.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3736, pruned_loss=0.1298, over 2788378.57 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06645, over 44223.25 utterances.], batch size: 283, lr: 5.53e-04
+2022-09-17 16:29:21,533 INFO [train.py:885] (1/2) Epoch 8, batch 7250, loss[loss=0.2213, simple_loss=0.2811, pruned_loss=0.08079, over 13348.00 frames. utt_duration=1619 frames, utt_pad_proportion=0.0975, over 33.00 utterances.], tot_loss[loss=0.318, simple_loss=0.3751, pruned_loss=0.1305, over 2780534.30 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07118, over 44944.49 utterances.], batch size: 33, lr: 5.53e-04
+2022-09-17 16:29:51,619 INFO [train.py:885] (1/2) Epoch 8, batch 7300, loss[loss=0.2544, simple_loss=0.3217, pruned_loss=0.09357, over 14317.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.0372, over 130.00 utterances.], tot_loss[loss=0.3186, simple_loss=0.3748, pruned_loss=0.1312, over 2779092.38 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07032, over 44813.62 utterances.], batch size: 130, lr: 5.53e-04
+2022-09-17 16:30:20,583 INFO [train.py:885] (1/2) Epoch 8, batch 7350, loss[loss=0.2207, simple_loss=0.2788, pruned_loss=0.08129, over 13712.00 frames. utt_duration=915.5 frames, utt_pad_proportion=0.08086, over 60.00 utterances.], tot_loss[loss=0.3193, simple_loss=0.3754, pruned_loss=0.1316, over 2774183.88 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07196, over 45110.01 utterances.], batch size: 60, lr: 5.53e-04
+2022-09-17 16:30:49,756 INFO [train.py:885] (1/2) Epoch 8, batch 7400, loss[loss=0.4069, simple_loss=0.4945, pruned_loss=0.1596, over 13157.00 frames. utt_duration=82.09 frames, utt_pad_proportion=0.1077, over 653.00 utterances.], tot_loss[loss=0.3147, simple_loss=0.3719, pruned_loss=0.1288, over 2776224.01 frames. utt_duration=253.3 frames, utt_pad_proportion=0.0725, over 44093.70 utterances.], batch size: 653, lr: 5.53e-04
+2022-09-17 16:31:19,518 INFO [train.py:885] (1/2) Epoch 8, batch 7450, loss[loss=0.3074, simple_loss=0.3666, pruned_loss=0.1241, over 14205.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.04864, over 141.00 utterances.], tot_loss[loss=0.3176, simple_loss=0.3743, pruned_loss=0.1304, over 2777841.67 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07119, over 44735.14 utterances.], batch size: 141, lr: 5.53e-04
+2022-09-17 16:31:49,933 INFO [train.py:885] (1/2) Epoch 8, batch 7500, loss[loss=0.1783, simple_loss=0.2461, pruned_loss=0.05519, over 13504.00 frames. utt_duration=1319 frames, utt_pad_proportion=0.0771, over 41.00 utterances.], tot_loss[loss=0.3157, simple_loss=0.3724, pruned_loss=0.1295, over 2777314.61 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07039, over 43923.11 utterances.], batch size: 41, lr: 5.52e-04
+2022-09-17 16:32:19,387 INFO [train.py:885] (1/2) Epoch 8, batch 7550, loss[loss=0.2004, simple_loss=0.2665, pruned_loss=0.06713, over 13484.00 frames. utt_duration=1636 frames, utt_pad_proportion=0.0922, over 33.00 utterances.], tot_loss[loss=0.3189, simple_loss=0.3751, pruned_loss=0.1313, over 2776360.90 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07086, over 44608.03 utterances.], batch size: 33, lr: 5.52e-04
+2022-09-17 16:32:48,734 INFO [train.py:885] (1/2) Epoch 8, batch 7600, loss[loss=0.2791, simple_loss=0.3192, pruned_loss=0.1195, over 13215.00 frames. utt_duration=2034 frames, utt_pad_proportion=0.1042, over 26.00 utterances.], tot_loss[loss=0.3155, simple_loss=0.3714, pruned_loss=0.1298, over 2780229.91 frames. utt_duration=264.2 frames, utt_pad_proportion=0.06858, over 42329.22 utterances.], batch size: 26, lr: 5.52e-04
+2022-09-17 16:33:18,491 INFO [train.py:885] (1/2) Epoch 8, batch 7650, loss[loss=0.2589, simple_loss=0.3216, pruned_loss=0.09809, over 13843.00 frames. utt_duration=803.8 frames, utt_pad_proportion=0.06314, over 69.00 utterances.], tot_loss[loss=0.3143, simple_loss=0.3705, pruned_loss=0.1291, over 2779439.52 frames. utt_duration=262.2 frames, utt_pad_proportion=0.06811, over 42640.92 utterances.], batch size: 69, lr: 5.52e-04
+2022-09-17 16:33:48,690 INFO [train.py:885] (1/2) Epoch 8, batch 7700, loss[loss=0.3351, simple_loss=0.3995, pruned_loss=0.1353, over 14318.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03933, over 262.00 utterances.], tot_loss[loss=0.3184, simple_loss=0.3739, pruned_loss=0.1314, over 2778159.62 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07077, over 43849.84 utterances.], batch size: 262, lr: 5.52e-04
+2022-09-17 16:34:17,867 INFO [train.py:885] (1/2) Epoch 8, batch 7750, loss[loss=0.3436, simple_loss=0.4021, pruned_loss=0.1425, over 14333.00 frames. utt_duration=319.9 frames, utt_pad_proportion=0.0364, over 180.00 utterances.], tot_loss[loss=0.3185, simple_loss=0.3739, pruned_loss=0.1315, over 2780814.91 frames. utt_duration=257.8 frames, utt_pad_proportion=0.069, over 43395.61 utterances.], batch size: 180, lr: 5.52e-04
+2022-09-17 16:34:47,335 INFO [train.py:885] (1/2) Epoch 8, batch 7800, loss[loss=0.339, simple_loss=0.4222, pruned_loss=0.1279, over 13765.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07194, over 411.00 utterances.], tot_loss[loss=0.3209, simple_loss=0.3762, pruned_loss=0.1328, over 2783363.62 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07025, over 44499.79 utterances.], batch size: 411, lr: 5.52e-04
+2022-09-17 16:35:17,564 INFO [train.py:885] (1/2) Epoch 8, batch 7850, loss[loss=0.3676, simple_loss=0.428, pruned_loss=0.1536, over 13940.00 frames. utt_duration=154.1 frames, utt_pad_proportion=0.06016, over 365.00 utterances.], tot_loss[loss=0.323, simple_loss=0.3787, pruned_loss=0.1337, over 2781984.67 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07163, over 46307.60 utterances.], batch size: 365, lr: 5.51e-04
+2022-09-17 16:35:46,721 INFO [train.py:885] (1/2) Epoch 8, batch 7900, loss[loss=0.424, simple_loss=0.456, pruned_loss=0.196, over 14373.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03565, over 244.00 utterances.], tot_loss[loss=0.3222, simple_loss=0.3776, pruned_loss=0.1334, over 2786652.56 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06948, over 45020.61 utterances.], batch size: 244, lr: 5.51e-04
+2022-09-17 16:36:15,345 INFO [train.py:885] (1/2) Epoch 8, batch 7950, loss[loss=0.5923, simple_loss=0.644, pruned_loss=0.2703, over 12516.00 frames. utt_duration=63.35 frames, utt_pad_proportion=0.144, over 810.00 utterances.], tot_loss[loss=0.3247, simple_loss=0.3808, pruned_loss=0.1342, over 2785994.56 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07147, over 46548.09 utterances.], batch size: 810, lr: 5.51e-04
+2022-09-17 16:36:45,997 INFO [train.py:885] (1/2) Epoch 8, batch 8000, loss[loss=0.3091, simple_loss=0.3738, pruned_loss=0.1222, over 14264.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.04348, over 154.00 utterances.], tot_loss[loss=0.3224, simple_loss=0.379, pruned_loss=0.1329, over 2785033.63 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07203, over 46259.46 utterances.], batch size: 154, lr: 5.51e-04
+2022-09-17 16:37:15,715 INFO [train.py:885] (1/2) Epoch 8, batch 8050, loss[loss=0.2957, simple_loss=0.3361, pruned_loss=0.1277, over 14206.00 frames. utt_duration=640.1 frames, utt_pad_proportion=0.046, over 89.00 utterances.], tot_loss[loss=0.3248, simple_loss=0.3818, pruned_loss=0.1339, over 2784349.96 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07163, over 47853.86 utterances.], batch size: 89, lr: 5.51e-04
+2022-09-17 16:37:44,793 INFO [train.py:885] (1/2) Epoch 8, batch 8100, loss[loss=0.21, simple_loss=0.2685, pruned_loss=0.07576, over 13190.00 frames. utt_duration=2030 frames, utt_pad_proportion=0.09997, over 26.00 utterances.], tot_loss[loss=0.3248, simple_loss=0.3818, pruned_loss=0.1339, over 2780330.02 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07408, over 48139.41 utterances.], batch size: 26, lr: 5.51e-04
+2022-09-17 16:38:14,787 INFO [train.py:885] (1/2) Epoch 8, batch 8150, loss[loss=0.2825, simple_loss=0.3588, pruned_loss=0.1031, over 14283.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.0401, over 154.00 utterances.], tot_loss[loss=0.3214, simple_loss=0.3786, pruned_loss=0.1321, over 2782386.08 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07284, over 46924.11 utterances.], batch size: 154, lr: 5.51e-04
+2022-09-17 16:38:43,484 INFO [train.py:885] (1/2) Epoch 8, batch 8200, loss[loss=0.2668, simple_loss=0.3276, pruned_loss=0.1031, over 14337.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.03755, over 120.00 utterances.], tot_loss[loss=0.3208, simple_loss=0.3779, pruned_loss=0.1319, over 2786206.26 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07036, over 46405.33 utterances.], batch size: 120, lr: 5.50e-04
+2022-09-17 16:39:13,477 INFO [train.py:885] (1/2) Epoch 8, batch 8250, loss[loss=0.4729, simple_loss=0.5297, pruned_loss=0.2081, over 13173.00 frames. utt_duration=82.27 frames, utt_pad_proportion=0.1058, over 653.00 utterances.], tot_loss[loss=0.3247, simple_loss=0.3826, pruned_loss=0.1334, over 2783627.26 frames. utt_duration=227.8 frames, utt_pad_proportion=0.07196, over 49189.21 utterances.], batch size: 653, lr: 5.50e-04
+2022-09-17 16:39:43,549 INFO [train.py:885] (1/2) Epoch 8, batch 8300, loss[loss=0.3574, simple_loss=0.4025, pruned_loss=0.1562, over 14302.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.0422, over 167.00 utterances.], tot_loss[loss=0.3247, simple_loss=0.382, pruned_loss=0.1337, over 2781786.77 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07215, over 48079.61 utterances.], batch size: 167, lr: 5.50e-04
+2022-09-17 16:40:12,553 INFO [train.py:885] (1/2) Epoch 8, batch 8350, loss[loss=0.3229, simple_loss=0.3882, pruned_loss=0.1288, over 14356.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03546, over 210.00 utterances.], tot_loss[loss=0.3245, simple_loss=0.3815, pruned_loss=0.1337, over 2783159.50 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07307, over 47564.08 utterances.], batch size: 210, lr: 5.50e-04
+2022-09-17 16:40:42,739 INFO [train.py:885] (1/2) Epoch 8, batch 8400, loss[loss=0.3179, simple_loss=0.3787, pruned_loss=0.1286, over 14277.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04032, over 225.00 utterances.], tot_loss[loss=0.3246, simple_loss=0.3814, pruned_loss=0.1339, over 2783307.91 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07269, over 47632.46 utterances.], batch size: 225, lr: 5.50e-04
+2022-09-17 16:41:18,202 INFO [train.py:885] (1/2) Epoch 8, batch 8450, loss[loss=0.3278, simple_loss=0.3886, pruned_loss=0.1336, over 14296.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.0385, over 180.00 utterances.], tot_loss[loss=0.3178, simple_loss=0.374, pruned_loss=0.1308, over 2783164.22 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07096, over 44317.51 utterances.], batch size: 180, lr: 5.50e-04
+2022-09-17 16:41:47,754 INFO [train.py:885] (1/2) Epoch 8, batch 8500, loss[loss=0.3697, simple_loss=0.4128, pruned_loss=0.1633, over 14284.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.04092, over 283.00 utterances.], tot_loss[loss=0.319, simple_loss=0.3755, pruned_loss=0.1313, over 2781518.87 frames. utt_duration=247.8 frames, utt_pad_proportion=0.0725, over 45161.49 utterances.], batch size: 283, lr: 5.50e-04
+2022-09-17 16:42:16,437 INFO [train.py:885] (1/2) Epoch 8, batch 8550, loss[loss=0.3827, simple_loss=0.4055, pruned_loss=0.1799, over 14283.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.03937, over 130.00 utterances.], tot_loss[loss=0.3197, simple_loss=0.3765, pruned_loss=0.1314, over 2785003.32 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07161, over 45536.89 utterances.], batch size: 130, lr: 5.49e-04
+2022-09-17 16:42:46,295 INFO [train.py:885] (1/2) Epoch 8, batch 8600, loss[loss=0.3763, simple_loss=0.4552, pruned_loss=0.1487, over 13589.00 frames. utt_duration=98.42 frames, utt_pad_proportion=0.08014, over 560.00 utterances.], tot_loss[loss=0.3238, simple_loss=0.3805, pruned_loss=0.1336, over 2781089.90 frames. utt_duration=237 frames, utt_pad_proportion=0.07442, over 47238.48 utterances.], batch size: 560, lr: 5.49e-04
+2022-09-17 16:43:16,152 INFO [train.py:885] (1/2) Epoch 8, batch 8650, loss[loss=0.2245, simple_loss=0.2827, pruned_loss=0.08318, over 13953.00 frames. utt_duration=707.9 frames, utt_pad_proportion=0.06363, over 79.00 utterances.], tot_loss[loss=0.3257, simple_loss=0.382, pruned_loss=0.1346, over 2782790.21 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07498, over 48006.48 utterances.], batch size: 79, lr: 5.49e-04
+2022-09-17 16:43:45,589 INFO [train.py:885] (1/2) Epoch 8, batch 8700, loss[loss=0.2511, simple_loss=0.2943, pruned_loss=0.1039, over 12699.00 frames. utt_duration=1540 frames, utt_pad_proportion=0.148, over 33.00 utterances.], tot_loss[loss=0.3244, simple_loss=0.3804, pruned_loss=0.1342, over 2780063.91 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07501, over 46947.53 utterances.], batch size: 33, lr: 5.49e-04
+2022-09-17 16:44:15,248 INFO [train.py:885] (1/2) Epoch 8, batch 8750, loss[loss=0.3656, simple_loss=0.393, pruned_loss=0.1691, over 14329.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.03852, over 120.00 utterances.], tot_loss[loss=0.3274, simple_loss=0.3828, pruned_loss=0.136, over 2777808.57 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07518, over 47401.89 utterances.], batch size: 120, lr: 5.49e-04
+2022-09-17 16:44:44,732 INFO [train.py:885] (1/2) Epoch 8, batch 8800, loss[loss=0.311, simple_loss=0.3971, pruned_loss=0.1124, over 13973.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.0582, over 365.00 utterances.], tot_loss[loss=0.3238, simple_loss=0.3799, pruned_loss=0.1339, over 2775890.83 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07321, over 46966.25 utterances.], batch size: 365, lr: 5.49e-04
+2022-09-17 16:45:14,698 INFO [train.py:885] (1/2) Epoch 8, batch 8850, loss[loss=0.1921, simple_loss=0.2548, pruned_loss=0.06467, over 13735.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08056, over 42.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.3776, pruned_loss=0.1325, over 2774572.27 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07232, over 46075.16 utterances.], batch size: 42, lr: 5.49e-04
+2022-09-17 16:45:43,956 INFO [train.py:885] (1/2) Epoch 8, batch 8900, loss[loss=0.3196, simple_loss=0.4035, pruned_loss=0.1178, over 13786.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07058, over 411.00 utterances.], tot_loss[loss=0.3211, simple_loss=0.378, pruned_loss=0.1321, over 2776940.39 frames. utt_duration=240.7 frames, utt_pad_proportion=0.0723, over 46437.90 utterances.], batch size: 411, lr: 5.48e-04
+2022-09-17 16:46:13,596 INFO [train.py:885] (1/2) Epoch 8, batch 8950, loss[loss=0.2942, simple_loss=0.3569, pruned_loss=0.1157, over 14293.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.0416, over 154.00 utterances.], tot_loss[loss=0.3197, simple_loss=0.3771, pruned_loss=0.1312, over 2777359.42 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07115, over 46422.44 utterances.], batch size: 154, lr: 5.48e-04
+2022-09-17 16:46:43,600 INFO [train.py:885] (1/2) Epoch 8, batch 9000, loss[loss=0.5036, simple_loss=0.555, pruned_loss=0.2261, over 13176.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1062, over 653.00 utterances.], tot_loss[loss=0.3225, simple_loss=0.3794, pruned_loss=0.1329, over 2774530.63 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07431, over 46672.79 utterances.], batch size: 653, lr: 5.48e-04
+2022-09-17 16:46:43,601 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 16:46:47,785 INFO [train.py:914] (1/2) Epoch 8, validation: loss=0.2105, simple_loss=0.2854, pruned_loss=0.06781, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 16:47:17,043 INFO [train.py:885] (1/2) Epoch 8, batch 9050, loss[loss=0.2374, simple_loss=0.2971, pruned_loss=0.08886, over 13089.00 frames. utt_duration=2015 frames, utt_pad_proportion=0.1249, over 26.00 utterances.], tot_loss[loss=0.3218, simple_loss=0.3792, pruned_loss=0.1322, over 2773734.06 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07555, over 47331.98 utterances.], batch size: 26, lr: 5.48e-04
+2022-09-17 16:47:46,887 INFO [train.py:885] (1/2) Epoch 8, batch 9100, loss[loss=0.3694, simple_loss=0.4432, pruned_loss=0.1477, over 13743.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07323, over 411.00 utterances.], tot_loss[loss=0.3234, simple_loss=0.3803, pruned_loss=0.1333, over 2777808.21 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07298, over 46992.88 utterances.], batch size: 411, lr: 5.48e-04
+2022-09-17 16:48:16,159 INFO [train.py:885] (1/2) Epoch 8, batch 9150, loss[loss=0.2965, simple_loss=0.3625, pruned_loss=0.1153, over 14318.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03742, over 180.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.378, pruned_loss=0.1322, over 2779870.12 frames. utt_duration=245.2 frames, utt_pad_proportion=0.0717, over 45629.04 utterances.], batch size: 180, lr: 5.48e-04
+2022-09-17 16:48:45,982 INFO [train.py:885] (1/2) Epoch 8, batch 9200, loss[loss=0.4023, simple_loss=0.4425, pruned_loss=0.181, over 14204.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04451, over 335.00 utterances.], tot_loss[loss=0.3178, simple_loss=0.3754, pruned_loss=0.1301, over 2781091.47 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07062, over 44878.21 utterances.], batch size: 335, lr: 5.48e-04
+2022-09-17 16:49:15,306 INFO [train.py:885] (1/2) Epoch 8, batch 9250, loss[loss=0.3376, simple_loss=0.3885, pruned_loss=0.1433, over 14318.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.0408, over 120.00 utterances.], tot_loss[loss=0.3169, simple_loss=0.3743, pruned_loss=0.1297, over 2783413.31 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06822, over 44464.72 utterances.], batch size: 120, lr: 5.47e-04
+2022-09-17 16:49:45,551 INFO [train.py:885] (1/2) Epoch 8, batch 9300, loss[loss=0.2756, simple_loss=0.3389, pruned_loss=0.1061, over 14159.00 frames. utt_duration=521 frames, utt_pad_proportion=0.04582, over 109.00 utterances.], tot_loss[loss=0.319, simple_loss=0.3763, pruned_loss=0.1309, over 2783665.60 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06955, over 45425.42 utterances.], batch size: 109, lr: 5.47e-04
+2022-09-17 16:50:14,591 INFO [train.py:885] (1/2) Epoch 8, batch 9350, loss[loss=0.3358, simple_loss=0.421, pruned_loss=0.1253, over 13739.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07289, over 411.00 utterances.], tot_loss[loss=0.319, simple_loss=0.3769, pruned_loss=0.1305, over 2786778.84 frames. utt_duration=241.7 frames, utt_pad_proportion=0.06812, over 46394.30 utterances.], batch size: 411, lr: 5.47e-04
+2022-09-17 16:50:43,598 INFO [train.py:885] (1/2) Epoch 8, batch 9400, loss[loss=0.297, simple_loss=0.3593, pruned_loss=0.1174, over 14349.00 frames. utt_duration=479.8 frames, utt_pad_proportion=0.03656, over 120.00 utterances.], tot_loss[loss=0.3172, simple_loss=0.3748, pruned_loss=0.1298, over 2781778.91 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06908, over 45476.16 utterances.], batch size: 120, lr: 5.47e-04
+2022-09-17 16:51:12,639 INFO [train.py:885] (1/2) Epoch 8, batch 9450, loss[loss=0.3202, simple_loss=0.3735, pruned_loss=0.1334, over 14409.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.03504, over 155.00 utterances.], tot_loss[loss=0.3141, simple_loss=0.3712, pruned_loss=0.1285, over 2779494.53 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06891, over 43291.54 utterances.], batch size: 155, lr: 5.47e-04
+2022-09-17 16:51:42,532 INFO [train.py:885] (1/2) Epoch 8, batch 9500, loss[loss=0.2833, simple_loss=0.3357, pruned_loss=0.1154, over 14021.00 frames. utt_duration=573.9 frames, utt_pad_proportion=0.05915, over 98.00 utterances.], tot_loss[loss=0.3088, simple_loss=0.3654, pruned_loss=0.1262, over 2777343.28 frames. utt_duration=272.3 frames, utt_pad_proportion=0.06742, over 41023.15 utterances.], batch size: 98, lr: 5.47e-04
+2022-09-17 16:52:12,279 INFO [train.py:885] (1/2) Epoch 8, batch 9550, loss[loss=0.469, simple_loss=0.5342, pruned_loss=0.2019, over 13140.00 frames. utt_duration=82.05 frames, utt_pad_proportion=0.1081, over 653.00 utterances.], tot_loss[loss=0.3159, simple_loss=0.372, pruned_loss=0.1299, over 2779018.54 frames. utt_duration=260.3 frames, utt_pad_proportion=0.0694, over 42942.65 utterances.], batch size: 653, lr: 5.47e-04
+2022-09-17 16:52:42,116 INFO [train.py:885] (1/2) Epoch 8, batch 9600, loss[loss=0.4105, simple_loss=0.4913, pruned_loss=0.1649, over 13165.00 frames. utt_duration=82.16 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3711, pruned_loss=0.1292, over 2785150.07 frames. utt_duration=263.1 frames, utt_pad_proportion=0.06676, over 42588.59 utterances.], batch size: 653, lr: 5.46e-04
+2022-09-17 16:53:11,908 INFO [train.py:885] (1/2) Epoch 8, batch 9650, loss[loss=0.4055, simple_loss=0.4769, pruned_loss=0.1671, over 13634.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07799, over 560.00 utterances.], tot_loss[loss=0.323, simple_loss=0.379, pruned_loss=0.1335, over 2780147.06 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07093, over 46176.73 utterances.], batch size: 560, lr: 5.46e-04
+2022-09-17 16:53:41,242 INFO [train.py:885] (1/2) Epoch 8, batch 9700, loss[loss=0.1904, simple_loss=0.2196, pruned_loss=0.08057, over 13184.00 frames. utt_duration=1600 frames, utt_pad_proportion=0.1148, over 33.00 utterances.], tot_loss[loss=0.3205, simple_loss=0.3767, pruned_loss=0.1321, over 2778644.94 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07173, over 45489.90 utterances.], batch size: 33, lr: 5.46e-04
+2022-09-17 16:54:09,482 INFO [train.py:885] (1/2) Epoch 8, batch 9750, loss[loss=0.3407, simple_loss=0.4158, pruned_loss=0.1328, over 13936.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.06001, over 365.00 utterances.], tot_loss[loss=0.3158, simple_loss=0.3724, pruned_loss=0.1296, over 2781714.86 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06968, over 43617.02 utterances.], batch size: 365, lr: 5.46e-04
+2022-09-17 16:54:39,287 INFO [train.py:885] (1/2) Epoch 8, batch 9800, loss[loss=0.341, simple_loss=0.4005, pruned_loss=0.1407, over 14309.00 frames. utt_duration=255.9 frames, utt_pad_proportion=0.03793, over 225.00 utterances.], tot_loss[loss=0.3153, simple_loss=0.3719, pruned_loss=0.1293, over 2776327.75 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07254, over 43882.50 utterances.], batch size: 225, lr: 5.46e-04
+2022-09-17 16:55:08,550 INFO [train.py:885] (1/2) Epoch 8, batch 9850, loss[loss=0.2197, simple_loss=0.2802, pruned_loss=0.07965, over 13231.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.09568, over 41.00 utterances.], tot_loss[loss=0.3168, simple_loss=0.3731, pruned_loss=0.1302, over 2775226.07 frames. utt_duration=256.6 frames, utt_pad_proportion=0.07293, over 43506.16 utterances.], batch size: 41, lr: 5.46e-04
+2022-09-17 16:55:38,457 INFO [train.py:885] (1/2) Epoch 8, batch 9900, loss[loss=0.2542, simple_loss=0.3277, pruned_loss=0.09038, over 14292.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.04095, over 130.00 utterances.], tot_loss[loss=0.3162, simple_loss=0.3724, pruned_loss=0.13, over 2776564.89 frames. utt_duration=255.8 frames, utt_pad_proportion=0.07356, over 43678.50 utterances.], batch size: 130, lr: 5.46e-04
+2022-09-17 16:56:08,132 INFO [train.py:885] (1/2) Epoch 8, batch 9950, loss[loss=0.3268, simple_loss=0.3904, pruned_loss=0.1316, over 14337.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03728, over 262.00 utterances.], tot_loss[loss=0.316, simple_loss=0.372, pruned_loss=0.13, over 2782200.62 frames. utt_duration=262.2 frames, utt_pad_proportion=0.07098, over 42677.66 utterances.], batch size: 262, lr: 5.45e-04
+2022-09-17 16:56:37,559 INFO [train.py:885] (1/2) Epoch 8, batch 10000, loss[loss=0.4477, simple_loss=0.4715, pruned_loss=0.212, over 14194.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04528, over 306.00 utterances.], tot_loss[loss=0.3169, simple_loss=0.3738, pruned_loss=0.13, over 2787847.42 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07023, over 43908.23 utterances.], batch size: 306, lr: 5.45e-04
+2022-09-17 16:57:06,751 INFO [train.py:885] (1/2) Epoch 8, batch 10050, loss[loss=0.3342, simple_loss=0.3833, pruned_loss=0.1425, over 14356.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.0361, over 195.00 utterances.], tot_loss[loss=0.3168, simple_loss=0.3734, pruned_loss=0.1301, over 2786699.70 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06954, over 43548.52 utterances.], batch size: 195, lr: 5.45e-04
+2022-09-17 16:57:36,776 INFO [train.py:885] (1/2) Epoch 8, batch 10100, loss[loss=0.2588, simple_loss=0.2878, pruned_loss=0.1149, over 13212.00 frames. utt_duration=1290 frames, utt_pad_proportion=0.09708, over 41.00 utterances.], tot_loss[loss=0.319, simple_loss=0.3754, pruned_loss=0.1312, over 2779750.86 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07169, over 45011.18 utterances.], batch size: 41, lr: 5.45e-04
+2022-09-17 16:58:06,696 INFO [train.py:885] (1/2) Epoch 8, batch 10150, loss[loss=0.3214, simple_loss=0.3937, pruned_loss=0.1246, over 14262.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.04121, over 180.00 utterances.], tot_loss[loss=0.3202, simple_loss=0.3776, pruned_loss=0.1314, over 2779005.58 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07245, over 45902.72 utterances.], batch size: 180, lr: 5.45e-04
+2022-09-17 16:58:36,306 INFO [train.py:885] (1/2) Epoch 8, batch 10200, loss[loss=0.3455, simple_loss=0.4272, pruned_loss=0.1319, over 13817.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06873, over 411.00 utterances.], tot_loss[loss=0.3224, simple_loss=0.3798, pruned_loss=0.1325, over 2774894.79 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07452, over 47494.22 utterances.], batch size: 411, lr: 5.45e-04
+2022-09-17 16:59:05,306 INFO [train.py:885] (1/2) Epoch 8, batch 10250, loss[loss=0.2378, simple_loss=0.3046, pruned_loss=0.08555, over 14025.00 frames. utt_duration=711.5 frames, utt_pad_proportion=0.05882, over 79.00 utterances.], tot_loss[loss=0.3239, simple_loss=0.3808, pruned_loss=0.1335, over 2778508.45 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07365, over 46837.90 utterances.], batch size: 79, lr: 5.45e-04
+2022-09-17 16:59:35,020 INFO [train.py:885] (1/2) Epoch 8, batch 10300, loss[loss=0.1563, simple_loss=0.2102, pruned_loss=0.05119, over 13447.00 frames. utt_duration=1631 frames, utt_pad_proportion=0.09835, over 33.00 utterances.], tot_loss[loss=0.3236, simple_loss=0.3805, pruned_loss=0.1333, over 2775834.62 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07668, over 46903.45 utterances.], batch size: 33, lr: 5.45e-04
+2022-09-17 17:00:04,474 INFO [train.py:885] (1/2) Epoch 8, batch 10350, loss[loss=0.3429, simple_loss=0.3986, pruned_loss=0.1436, over 14257.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04147, over 225.00 utterances.], tot_loss[loss=0.3217, simple_loss=0.3784, pruned_loss=0.1325, over 2776620.46 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07506, over 45784.01 utterances.], batch size: 225, lr: 5.44e-04
+2022-09-17 17:00:33,710 INFO [train.py:885] (1/2) Epoch 8, batch 10400, loss[loss=0.3008, simple_loss=0.3523, pruned_loss=0.1247, over 14227.00 frames. utt_duration=475.8 frames, utt_pad_proportion=0.04271, over 120.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.3792, pruned_loss=0.1332, over 2776326.76 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07504, over 46206.49 utterances.], batch size: 120, lr: 5.44e-04
+2022-09-17 17:01:03,334 INFO [train.py:885] (1/2) Epoch 8, batch 10450, loss[loss=0.3492, simple_loss=0.3934, pruned_loss=0.1525, over 14315.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03768, over 180.00 utterances.], tot_loss[loss=0.3198, simple_loss=0.3769, pruned_loss=0.1313, over 2780924.39 frames. utt_duration=243.8 frames, utt_pad_proportion=0.0728, over 45899.55 utterances.], batch size: 180, lr: 5.44e-04
+2022-09-17 17:01:33,669 INFO [train.py:885] (1/2) Epoch 8, batch 10500, loss[loss=0.2014, simple_loss=0.2541, pruned_loss=0.07435, over 13431.00 frames. utt_duration=1312 frames, utt_pad_proportion=0.08414, over 41.00 utterances.], tot_loss[loss=0.3252, simple_loss=0.3811, pruned_loss=0.1346, over 2775819.10 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07535, over 47649.11 utterances.], batch size: 41, lr: 5.44e-04
+2022-09-17 17:02:03,080 INFO [train.py:885] (1/2) Epoch 8, batch 10550, loss[loss=0.2435, simple_loss=0.2974, pruned_loss=0.09479, over 13958.00 frames. utt_duration=708 frames, utt_pad_proportion=0.06348, over 79.00 utterances.], tot_loss[loss=0.3244, simple_loss=0.3798, pruned_loss=0.1345, over 2778709.87 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07438, over 45861.47 utterances.], batch size: 79, lr: 5.44e-04
+2022-09-17 17:02:33,023 INFO [train.py:885] (1/2) Epoch 8, batch 10600, loss[loss=0.5967, simple_loss=0.6462, pruned_loss=0.2736, over 12486.00 frames. utt_duration=63.21 frames, utt_pad_proportion=0.1458, over 810.00 utterances.], tot_loss[loss=0.3237, simple_loss=0.3794, pruned_loss=0.1339, over 2779494.60 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07403, over 45980.13 utterances.], batch size: 810, lr: 5.44e-04
+2022-09-17 17:03:02,648 INFO [train.py:885] (1/2) Epoch 8, batch 10650, loss[loss=0.2355, simple_loss=0.2873, pruned_loss=0.09179, over 13824.00 frames. utt_duration=923.1 frames, utt_pad_proportion=0.06658, over 60.00 utterances.], tot_loss[loss=0.3244, simple_loss=0.3808, pruned_loss=0.134, over 2777600.50 frames. utt_duration=239 frames, utt_pad_proportion=0.07339, over 46776.30 utterances.], batch size: 60, lr: 5.44e-04
+2022-09-17 17:03:34,412 INFO [train.py:885] (1/2) Epoch 8, batch 10700, loss[loss=0.2722, simple_loss=0.3218, pruned_loss=0.1113, over 14050.00 frames. utt_duration=713.1 frames, utt_pad_proportion=0.05681, over 79.00 utterances.], tot_loss[loss=0.3255, simple_loss=0.382, pruned_loss=0.1345, over 2776278.87 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07443, over 47261.20 utterances.], batch size: 79, lr: 5.43e-04
+2022-09-17 17:04:09,976 INFO [train.py:885] (1/2) Epoch 8, batch 10750, loss[loss=0.2797, simple_loss=0.3524, pruned_loss=0.1035, over 14327.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04016, over 167.00 utterances.], tot_loss[loss=0.3232, simple_loss=0.3794, pruned_loss=0.1336, over 2782928.68 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07139, over 45847.72 utterances.], batch size: 167, lr: 5.43e-04
+2022-09-17 17:04:40,050 INFO [train.py:885] (1/2) Epoch 8, batch 10800, loss[loss=0.3101, simple_loss=0.3687, pruned_loss=0.1258, over 14275.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04073, over 180.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.3799, pruned_loss=0.1341, over 2780642.72 frames. utt_duration=245 frames, utt_pad_proportion=0.07405, over 45673.50 utterances.], batch size: 180, lr: 5.43e-04
+2022-09-17 17:05:09,921 INFO [train.py:885] (1/2) Epoch 8, batch 10850, loss[loss=0.6812, simple_loss=0.6998, pruned_loss=0.3313, over 12447.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1479, over 810.00 utterances.], tot_loss[loss=0.324, simple_loss=0.3797, pruned_loss=0.1341, over 2776612.19 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07443, over 45646.60 utterances.], batch size: 810, lr: 5.43e-04
+2022-09-17 17:05:39,659 INFO [train.py:885] (1/2) Epoch 8, batch 10900, loss[loss=0.4429, simple_loss=0.4524, pruned_loss=0.2167, over 14298.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.04218, over 167.00 utterances.], tot_loss[loss=0.3235, simple_loss=0.3796, pruned_loss=0.1337, over 2777846.30 frames. utt_duration=246 frames, utt_pad_proportion=0.07287, over 45449.83 utterances.], batch size: 167, lr: 5.43e-04
+2022-09-17 17:06:08,993 INFO [train.py:885] (1/2) Epoch 8, batch 10950, loss[loss=0.2058, simple_loss=0.2577, pruned_loss=0.07693, over 12473.00 frames. utt_duration=2080 frames, utt_pad_proportion=0.1669, over 24.00 utterances.], tot_loss[loss=0.3207, simple_loss=0.377, pruned_loss=0.1322, over 2775863.93 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07282, over 45063.68 utterances.], batch size: 24, lr: 5.43e-04
+2022-09-17 17:06:38,659 INFO [train.py:885] (1/2) Epoch 8, batch 11000, loss[loss=0.2246, simple_loss=0.294, pruned_loss=0.07755, over 14077.00 frames. utt_duration=714.1 frames, utt_pad_proportion=0.05546, over 79.00 utterances.], tot_loss[loss=0.3179, simple_loss=0.3739, pruned_loss=0.1309, over 2778925.99 frames. utt_duration=259.7 frames, utt_pad_proportion=0.07058, over 43053.16 utterances.], batch size: 79, lr: 5.43e-04
+2022-09-17 17:07:07,760 INFO [train.py:885] (1/2) Epoch 8, batch 11050, loss[loss=0.1864, simple_loss=0.2586, pruned_loss=0.05712, over 13836.00 frames. utt_duration=923.8 frames, utt_pad_proportion=0.07159, over 60.00 utterances.], tot_loss[loss=0.315, simple_loss=0.3709, pruned_loss=0.1295, over 2780610.51 frames. utt_duration=268.3 frames, utt_pad_proportion=0.06817, over 41683.56 utterances.], batch size: 60, lr: 5.42e-04
+2022-09-17 17:07:38,470 INFO [train.py:885] (1/2) Epoch 8, batch 11100, loss[loss=0.1597, simple_loss=0.2104, pruned_loss=0.05453, over 13692.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08587, over 42.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3731, pruned_loss=0.1307, over 2774825.89 frames. utt_duration=258.8 frames, utt_pad_proportion=0.07102, over 43134.14 utterances.], batch size: 42, lr: 5.42e-04
+2022-09-17 17:08:07,134 INFO [train.py:885] (1/2) Epoch 8, batch 11150, loss[loss=0.3296, simple_loss=0.4104, pruned_loss=0.1244, over 13710.00 frames. utt_duration=134.9 frames, utt_pad_proportion=0.07618, over 411.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3731, pruned_loss=0.1299, over 2780435.69 frames. utt_duration=258.4 frames, utt_pad_proportion=0.0692, over 43289.77 utterances.], batch size: 411, lr: 5.42e-04
+2022-09-17 17:08:37,858 INFO [train.py:885] (1/2) Epoch 8, batch 11200, loss[loss=0.3172, simple_loss=0.3733, pruned_loss=0.1306, over 14261.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04469, over 141.00 utterances.], tot_loss[loss=0.3218, simple_loss=0.3777, pruned_loss=0.1329, over 2778312.32 frames. utt_duration=251 frames, utt_pad_proportion=0.07204, over 44531.37 utterances.], batch size: 141, lr: 5.42e-04
+2022-09-17 17:09:07,186 INFO [train.py:885] (1/2) Epoch 8, batch 11250, loss[loss=0.1947, simple_loss=0.2554, pruned_loss=0.06693, over 13611.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.08498, over 42.00 utterances.], tot_loss[loss=0.3178, simple_loss=0.3744, pruned_loss=0.1306, over 2778988.37 frames. utt_duration=256.5 frames, utt_pad_proportion=0.07059, over 43587.88 utterances.], batch size: 42, lr: 5.42e-04
+2022-09-17 17:09:36,728 INFO [train.py:885] (1/2) Epoch 8, batch 11300, loss[loss=0.4526, simple_loss=0.4698, pruned_loss=0.2177, over 14348.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03384, over 244.00 utterances.], tot_loss[loss=0.3174, simple_loss=0.3735, pruned_loss=0.1307, over 2777701.51 frames. utt_duration=258 frames, utt_pad_proportion=0.07063, over 43313.27 utterances.], batch size: 244, lr: 5.42e-04
+2022-09-17 17:10:05,892 INFO [train.py:885] (1/2) Epoch 8, batch 11350, loss[loss=0.3141, simple_loss=0.4025, pruned_loss=0.1128, over 13782.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07048, over 411.00 utterances.], tot_loss[loss=0.317, simple_loss=0.3736, pruned_loss=0.1303, over 2783080.92 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06823, over 44094.16 utterances.], batch size: 411, lr: 5.42e-04
+2022-09-17 17:10:35,673 INFO [train.py:885] (1/2) Epoch 8, batch 11400, loss[loss=0.1826, simple_loss=0.234, pruned_loss=0.06563, over 13463.00 frames. utt_duration=1315 frames, utt_pad_proportion=0.08059, over 41.00 utterances.], tot_loss[loss=0.3187, simple_loss=0.3746, pruned_loss=0.1314, over 2783547.70 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06773, over 44212.36 utterances.], batch size: 41, lr: 5.42e-04
+2022-09-17 17:11:05,526 INFO [train.py:885] (1/2) Epoch 8, batch 11450, loss[loss=0.2021, simple_loss=0.2691, pruned_loss=0.06759, over 13459.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.09164, over 50.00 utterances.], tot_loss[loss=0.3235, simple_loss=0.3791, pruned_loss=0.134, over 2783274.00 frames. utt_duration=243.5 frames, utt_pad_proportion=0.06855, over 45996.91 utterances.], batch size: 50, lr: 5.41e-04
+2022-09-17 17:11:34,796 INFO [train.py:885] (1/2) Epoch 8, batch 11500, loss[loss=0.1933, simple_loss=0.2452, pruned_loss=0.07064, over 13535.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08959, over 50.00 utterances.], tot_loss[loss=0.3205, simple_loss=0.3762, pruned_loss=0.1324, over 2779706.39 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06878, over 44713.91 utterances.], batch size: 50, lr: 5.41e-04
+2022-09-17 17:12:03,687 INFO [train.py:885] (1/2) Epoch 8, batch 11550, loss[loss=0.3361, simple_loss=0.3894, pruned_loss=0.1414, over 14287.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04103, over 262.00 utterances.], tot_loss[loss=0.3212, simple_loss=0.3767, pruned_loss=0.1328, over 2783698.83 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06786, over 44546.87 utterances.], batch size: 262, lr: 5.41e-04
+2022-09-17 17:12:33,510 INFO [train.py:885] (1/2) Epoch 8, batch 11600, loss[loss=0.4134, simple_loss=0.4558, pruned_loss=0.1855, over 14237.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04272, over 335.00 utterances.], tot_loss[loss=0.3261, simple_loss=0.381, pruned_loss=0.1356, over 2788671.53 frames. utt_duration=246.7 frames, utt_pad_proportion=0.06864, over 45494.41 utterances.], batch size: 335, lr: 5.41e-04
+2022-09-17 17:13:03,754 INFO [train.py:885] (1/2) Epoch 8, batch 11650, loss[loss=0.3372, simple_loss=0.3965, pruned_loss=0.1389, over 14249.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04185, over 225.00 utterances.], tot_loss[loss=0.3247, simple_loss=0.3796, pruned_loss=0.1349, over 2787977.28 frames. utt_duration=252 frames, utt_pad_proportion=0.06867, over 44509.84 utterances.], batch size: 225, lr: 5.41e-04
+2022-09-17 17:13:33,169 INFO [train.py:885] (1/2) Epoch 8, batch 11700, loss[loss=0.3421, simple_loss=0.3947, pruned_loss=0.1448, over 14313.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03894, over 283.00 utterances.], tot_loss[loss=0.325, simple_loss=0.3802, pruned_loss=0.1349, over 2784452.16 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07207, over 46000.16 utterances.], batch size: 283, lr: 5.41e-04
+2022-09-17 17:14:03,194 INFO [train.py:885] (1/2) Epoch 8, batch 11750, loss[loss=0.3926, simple_loss=0.4311, pruned_loss=0.177, over 14290.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03881, over 180.00 utterances.], tot_loss[loss=0.3224, simple_loss=0.3784, pruned_loss=0.1332, over 2785614.13 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07128, over 45351.36 utterances.], batch size: 180, lr: 5.41e-04
+2022-09-17 17:14:32,510 INFO [train.py:885] (1/2) Epoch 8, batch 11800, loss[loss=0.1577, simple_loss=0.2019, pruned_loss=0.05671, over 13314.00 frames. utt_duration=1615 frames, utt_pad_proportion=0.1013, over 33.00 utterances.], tot_loss[loss=0.3199, simple_loss=0.3761, pruned_loss=0.1319, over 2783949.52 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07172, over 44652.51 utterances.], batch size: 33, lr: 5.40e-04
+2022-09-17 17:15:01,992 INFO [train.py:885] (1/2) Epoch 8, batch 11850, loss[loss=0.4079, simple_loss=0.4653, pruned_loss=0.1753, over 13975.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05707, over 365.00 utterances.], tot_loss[loss=0.3234, simple_loss=0.3794, pruned_loss=0.1337, over 2786167.29 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07194, over 45647.34 utterances.], batch size: 365, lr: 5.40e-04
+2022-09-17 17:15:31,731 INFO [train.py:885] (1/2) Epoch 8, batch 11900, loss[loss=0.365, simple_loss=0.4152, pruned_loss=0.1574, over 14311.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03983, over 262.00 utterances.], tot_loss[loss=0.3241, simple_loss=0.3804, pruned_loss=0.1339, over 2783314.65 frames. utt_duration=242 frames, utt_pad_proportion=0.0729, over 46289.74 utterances.], batch size: 262, lr: 5.40e-04
+2022-09-17 17:16:00,988 INFO [train.py:885] (1/2) Epoch 8, batch 11950, loss[loss=0.2133, simple_loss=0.2391, pruned_loss=0.09371, over 12604.00 frames. utt_duration=2102 frames, utt_pad_proportion=0.151, over 24.00 utterances.], tot_loss[loss=0.3246, simple_loss=0.3818, pruned_loss=0.1337, over 2783941.55 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07284, over 47271.10 utterances.], batch size: 24, lr: 5.40e-04
+2022-09-17 17:16:30,924 INFO [train.py:885] (1/2) Epoch 8, batch 12000, loss[loss=0.2354, simple_loss=0.2901, pruned_loss=0.09032, over 12682.00 frames. utt_duration=2031 frames, utt_pad_proportion=0.1504, over 25.00 utterances.], tot_loss[loss=0.3225, simple_loss=0.3796, pruned_loss=0.1327, over 2785815.72 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07198, over 45905.83 utterances.], batch size: 25, lr: 5.40e-04
+2022-09-17 17:16:30,925 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 17:16:35,105 INFO [train.py:914] (1/2) Epoch 8, validation: loss=0.2079, simple_loss=0.284, pruned_loss=0.06587, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 17:17:04,299 INFO [train.py:885] (1/2) Epoch 8, batch 12050, loss[loss=0.2722, simple_loss=0.3143, pruned_loss=0.1151, over 13152.00 frames. utt_duration=2025 frames, utt_pad_proportion=0.1038, over 26.00 utterances.], tot_loss[loss=0.3206, simple_loss=0.3783, pruned_loss=0.1314, over 2781461.34 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07438, over 46490.58 utterances.], batch size: 26, lr: 5.40e-04
+2022-09-17 17:17:34,219 INFO [train.py:885] (1/2) Epoch 8, batch 12100, loss[loss=0.4103, simple_loss=0.4449, pruned_loss=0.1878, over 14288.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03976, over 180.00 utterances.], tot_loss[loss=0.3206, simple_loss=0.3773, pruned_loss=0.1319, over 2785047.47 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07181, over 45115.63 utterances.], batch size: 180, lr: 5.40e-04
+2022-09-17 17:18:03,008 INFO [train.py:885] (1/2) Epoch 8, batch 12150, loss[loss=0.3121, simple_loss=0.3765, pruned_loss=0.1238, over 14324.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03968, over 154.00 utterances.], tot_loss[loss=0.3198, simple_loss=0.3766, pruned_loss=0.1315, over 2783673.76 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07148, over 44568.76 utterances.], batch size: 154, lr: 5.40e-04
+2022-09-17 17:18:33,583 INFO [train.py:885] (1/2) Epoch 8, batch 12200, loss[loss=0.3304, simple_loss=0.3959, pruned_loss=0.1324, over 14359.00 frames. utt_duration=296 frames, utt_pad_proportion=0.0357, over 195.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3737, pruned_loss=0.1304, over 2782762.80 frames. utt_duration=257.4 frames, utt_pad_proportion=0.07013, over 43495.80 utterances.], batch size: 195, lr: 5.39e-04
+2022-09-17 17:19:02,938 INFO [train.py:885] (1/2) Epoch 8, batch 12250, loss[loss=0.3461, simple_loss=0.4008, pruned_loss=0.1456, over 14312.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03897, over 283.00 utterances.], tot_loss[loss=0.3191, simple_loss=0.3757, pruned_loss=0.1313, over 2783251.48 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06887, over 44349.21 utterances.], batch size: 283, lr: 5.39e-04
+2022-09-17 17:19:32,812 INFO [train.py:885] (1/2) Epoch 8, batch 12300, loss[loss=0.3407, simple_loss=0.4173, pruned_loss=0.1321, over 14007.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05603, over 365.00 utterances.], tot_loss[loss=0.3149, simple_loss=0.3721, pruned_loss=0.1289, over 2784943.42 frames. utt_duration=257 frames, utt_pad_proportion=0.06786, over 43595.98 utterances.], batch size: 365, lr: 5.39e-04
+2022-09-17 17:20:02,322 INFO [train.py:885] (1/2) Epoch 8, batch 12350, loss[loss=0.3536, simple_loss=0.4205, pruned_loss=0.1434, over 14018.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05488, over 365.00 utterances.], tot_loss[loss=0.3172, simple_loss=0.3744, pruned_loss=0.13, over 2788196.02 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06735, over 44359.29 utterances.], batch size: 365, lr: 5.39e-04
+2022-09-17 17:20:31,931 INFO [train.py:885] (1/2) Epoch 8, batch 12400, loss[loss=0.5749, simple_loss=0.6339, pruned_loss=0.258, over 12529.00 frames. utt_duration=63.37 frames, utt_pad_proportion=0.1437, over 810.00 utterances.], tot_loss[loss=0.3229, simple_loss=0.3791, pruned_loss=0.1334, over 2779758.20 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07175, over 45939.38 utterances.], batch size: 810, lr: 5.39e-04
+2022-09-17 17:21:01,777 INFO [train.py:885] (1/2) Epoch 8, batch 12450, loss[loss=0.2602, simple_loss=0.3162, pruned_loss=0.1021, over 14084.00 frames. utt_duration=576.2 frames, utt_pad_proportion=0.05394, over 98.00 utterances.], tot_loss[loss=0.3197, simple_loss=0.3765, pruned_loss=0.1314, over 2778865.20 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07278, over 45489.58 utterances.], batch size: 98, lr: 5.39e-04
+2022-09-17 17:21:37,680 INFO [train.py:885] (1/2) Epoch 8, batch 12500, loss[loss=0.1913, simple_loss=0.2497, pruned_loss=0.0664, over 12235.00 frames. utt_duration=2041 frames, utt_pad_proportion=0.1678, over 24.00 utterances.], tot_loss[loss=0.3186, simple_loss=0.3749, pruned_loss=0.1312, over 2775615.61 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07213, over 44748.60 utterances.], batch size: 24, lr: 5.39e-04
+2022-09-17 17:22:07,397 INFO [train.py:885] (1/2) Epoch 8, batch 12550, loss[loss=0.2916, simple_loss=0.3458, pruned_loss=0.1187, over 14293.00 frames. utt_duration=407 frames, utt_pad_proportion=0.04247, over 141.00 utterances.], tot_loss[loss=0.3163, simple_loss=0.3732, pruned_loss=0.1297, over 2777691.33 frames. utt_duration=254.8 frames, utt_pad_proportion=0.071, over 43867.32 utterances.], batch size: 141, lr: 5.38e-04
+2022-09-17 17:22:34,671 INFO [train.py:885] (1/2) Epoch 8, batch 12600, loss[loss=0.299, simple_loss=0.3324, pruned_loss=0.1328, over 13081.00 frames. utt_duration=1587 frames, utt_pad_proportion=0.1192, over 33.00 utterances.], tot_loss[loss=0.3238, simple_loss=0.3795, pruned_loss=0.134, over 2778454.31 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07254, over 45879.43 utterances.], batch size: 33, lr: 5.38e-04
+2022-09-17 17:22:53,305 INFO [train.py:885] (1/2) Epoch 9, batch 0, loss[loss=0.2992, simple_loss=0.3747, pruned_loss=0.1119, over 14357.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03629, over 210.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3747, pruned_loss=0.1119, over 14357.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03629, over 210.00 utterances.], batch size: 210, lr: 5.17e-04
+2022-09-17 17:23:23,423 INFO [train.py:885] (1/2) Epoch 9, batch 50, loss[loss=0.4065, simple_loss=0.4616, pruned_loss=0.1757, over 13792.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07031, over 411.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3604, pruned_loss=0.12, over 627052.34 frames. utt_duration=281.5 frames, utt_pad_proportion=0.0649, over 8955.73 utterances.], batch size: 411, lr: 5.17e-04
+2022-09-17 17:23:52,888 INFO [train.py:885] (1/2) Epoch 9, batch 100, loss[loss=0.2378, simple_loss=0.2838, pruned_loss=0.09592, over 13636.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.08202, over 50.00 utterances.], tot_loss[loss=0.3072, simple_loss=0.367, pruned_loss=0.1237, over 1098623.38 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07393, over 17569.93 utterances.], batch size: 50, lr: 5.17e-04
+2022-09-17 17:24:22,299 INFO [train.py:885] (1/2) Epoch 9, batch 150, loss[loss=0.4177, simple_loss=0.4551, pruned_loss=0.1902, over 14179.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04585, over 306.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.3678, pruned_loss=0.1242, over 1475094.88 frames. utt_duration=258 frames, utt_pad_proportion=0.07006, over 23001.47 utterances.], batch size: 306, lr: 5.16e-04
+2022-09-17 17:24:50,827 INFO [train.py:885] (1/2) Epoch 9, batch 200, loss[loss=0.3897, simple_loss=0.4455, pruned_loss=0.1669, over 13989.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05883, over 366.00 utterances.], tot_loss[loss=0.3071, simple_loss=0.3655, pruned_loss=0.1243, over 1764713.91 frames. utt_duration=264.4 frames, utt_pad_proportion=0.06841, over 26848.91 utterances.], batch size: 366, lr: 5.16e-04
+2022-09-17 17:25:21,030 INFO [train.py:885] (1/2) Epoch 9, batch 250, loss[loss=0.4008, simple_loss=0.4734, pruned_loss=0.164, over 13656.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08005, over 477.00 utterances.], tot_loss[loss=0.3124, simple_loss=0.3698, pruned_loss=0.1275, over 1988339.85 frames. utt_duration=259.7 frames, utt_pad_proportion=0.06976, over 30804.49 utterances.], batch size: 477, lr: 5.16e-04
+2022-09-17 17:25:50,134 INFO [train.py:885] (1/2) Epoch 9, batch 300, loss[loss=0.1752, simple_loss=0.2316, pruned_loss=0.05941, over 13746.00 frames. utt_duration=918 frames, utt_pad_proportion=0.07648, over 60.00 utterances.], tot_loss[loss=0.3161, simple_loss=0.3734, pruned_loss=0.1294, over 2167267.99 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06759, over 34402.02 utterances.], batch size: 60, lr: 5.16e-04
+2022-09-17 17:26:20,095 INFO [train.py:885] (1/2) Epoch 9, batch 350, loss[loss=0.1705, simple_loss=0.2313, pruned_loss=0.05485, over 13504.00 frames. utt_duration=1319 frames, utt_pad_proportion=0.07693, over 41.00 utterances.], tot_loss[loss=0.3117, simple_loss=0.3693, pruned_loss=0.127, over 2301556.20 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06768, over 36238.26 utterances.], batch size: 41, lr: 5.16e-04
+2022-09-17 17:26:49,314 INFO [train.py:885] (1/2) Epoch 9, batch 400, loss[loss=0.2059, simple_loss=0.2628, pruned_loss=0.07453, over 13316.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.09182, over 41.00 utterances.], tot_loss[loss=0.3123, simple_loss=0.3705, pruned_loss=0.127, over 2410866.59 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06695, over 38455.98 utterances.], batch size: 41, lr: 5.16e-04
+2022-09-17 17:27:19,750 INFO [train.py:885] (1/2) Epoch 9, batch 450, loss[loss=0.2821, simple_loss=0.3336, pruned_loss=0.1152, over 14072.00 frames. utt_duration=575.8 frames, utt_pad_proportion=0.05454, over 98.00 utterances.], tot_loss[loss=0.3163, simple_loss=0.373, pruned_loss=0.1298, over 2498296.64 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06526, over 39246.06 utterances.], batch size: 98, lr: 5.16e-04
+2022-09-17 17:27:48,620 INFO [train.py:885] (1/2) Epoch 9, batch 500, loss[loss=0.3248, simple_loss=0.3895, pruned_loss=0.13, over 14370.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03502, over 210.00 utterances.], tot_loss[loss=0.3196, simple_loss=0.3765, pruned_loss=0.1313, over 2562684.22 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06647, over 41478.09 utterances.], batch size: 210, lr: 5.16e-04
+2022-09-17 17:28:18,494 INFO [train.py:885] (1/2) Epoch 9, batch 550, loss[loss=0.2654, simple_loss=0.3164, pruned_loss=0.1072, over 14168.00 frames. utt_duration=579.6 frames, utt_pad_proportion=0.04821, over 98.00 utterances.], tot_loss[loss=0.3223, simple_loss=0.3791, pruned_loss=0.1327, over 2611209.74 frames. utt_duration=242.1 frames, utt_pad_proportion=0.06857, over 43399.67 utterances.], batch size: 98, lr: 5.15e-04
+2022-09-17 17:28:48,318 INFO [train.py:885] (1/2) Epoch 9, batch 600, loss[loss=0.3845, simple_loss=0.4613, pruned_loss=0.1539, over 13629.00 frames. utt_duration=98.77 frames, utt_pad_proportion=0.07694, over 560.00 utterances.], tot_loss[loss=0.3238, simple_loss=0.3805, pruned_loss=0.1335, over 2651353.29 frames. utt_duration=241.5 frames, utt_pad_proportion=0.06726, over 44179.33 utterances.], batch size: 560, lr: 5.15e-04
+2022-09-17 17:29:17,863 INFO [train.py:885] (1/2) Epoch 9, batch 650, loss[loss=0.2994, simple_loss=0.3546, pruned_loss=0.1221, over 14290.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03928, over 154.00 utterances.], tot_loss[loss=0.3256, simple_loss=0.3818, pruned_loss=0.1348, over 2685957.67 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06663, over 44600.62 utterances.], batch size: 154, lr: 5.15e-04
+2022-09-17 17:29:47,535 INFO [train.py:885] (1/2) Epoch 9, batch 700, loss[loss=0.3816, simple_loss=0.4647, pruned_loss=0.1492, over 13625.00 frames. utt_duration=98.7 frames, utt_pad_proportion=0.07754, over 560.00 utterances.], tot_loss[loss=0.322, simple_loss=0.3786, pruned_loss=0.1327, over 2708191.03 frames. utt_duration=246.2 frames, utt_pad_proportion=0.0661, over 44270.34 utterances.], batch size: 560, lr: 5.15e-04
+2022-09-17 17:30:16,847 INFO [train.py:885] (1/2) Epoch 9, batch 750, loss[loss=0.219, simple_loss=0.2747, pruned_loss=0.08169, over 13500.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.09192, over 50.00 utterances.], tot_loss[loss=0.3199, simple_loss=0.3762, pruned_loss=0.1318, over 2724732.53 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06681, over 43613.13 utterances.], batch size: 50, lr: 5.15e-04
+2022-09-17 17:30:46,676 INFO [train.py:885] (1/2) Epoch 9, batch 800, loss[loss=0.4017, simple_loss=0.4305, pruned_loss=0.1864, over 14384.00 frames. utt_duration=296.6 frames, utt_pad_proportion=0.03374, over 195.00 utterances.], tot_loss[loss=0.3242, simple_loss=0.3797, pruned_loss=0.1344, over 2738763.73 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06816, over 44819.00 utterances.], batch size: 195, lr: 5.15e-04
+2022-09-17 17:31:16,268 INFO [train.py:885] (1/2) Epoch 9, batch 850, loss[loss=0.3756, simple_loss=0.4224, pruned_loss=0.1644, over 14224.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04257, over 306.00 utterances.], tot_loss[loss=0.324, simple_loss=0.3799, pruned_loss=0.134, over 2743023.43 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07123, over 45713.29 utterances.], batch size: 306, lr: 5.15e-04
+2022-09-17 17:31:45,663 INFO [train.py:885] (1/2) Epoch 9, batch 900, loss[loss=0.3773, simple_loss=0.4221, pruned_loss=0.1663, over 14203.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04491, over 335.00 utterances.], tot_loss[loss=0.3278, simple_loss=0.3835, pruned_loss=0.136, over 2754540.77 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07063, over 46416.44 utterances.], batch size: 335, lr: 5.15e-04
+2022-09-17 17:32:15,039 INFO [train.py:885] (1/2) Epoch 9, batch 950, loss[loss=0.2107, simple_loss=0.2741, pruned_loss=0.0736, over 12901.00 frames. utt_duration=1565 frames, utt_pad_proportion=0.1151, over 33.00 utterances.], tot_loss[loss=0.3254, simple_loss=0.3816, pruned_loss=0.1346, over 2756714.20 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07119, over 46257.00 utterances.], batch size: 33, lr: 5.14e-04
+2022-09-17 17:32:45,055 INFO [train.py:885] (1/2) Epoch 9, batch 1000, loss[loss=0.2689, simple_loss=0.3263, pruned_loss=0.1058, over 14142.00 frames. utt_duration=637.1 frames, utt_pad_proportion=0.04915, over 89.00 utterances.], tot_loss[loss=0.3254, simple_loss=0.3819, pruned_loss=0.1344, over 2754771.74 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07548, over 47281.42 utterances.], batch size: 89, lr: 5.14e-04
+2022-09-17 17:33:14,484 INFO [train.py:885] (1/2) Epoch 9, batch 1050, loss[loss=0.281, simple_loss=0.3439, pruned_loss=0.109, over 14359.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03858, over 167.00 utterances.], tot_loss[loss=0.3264, simple_loss=0.3835, pruned_loss=0.1346, over 2760724.47 frames. utt_duration=230.4 frames, utt_pad_proportion=0.07523, over 48238.10 utterances.], batch size: 167, lr: 5.14e-04
+2022-09-17 17:33:43,995 INFO [train.py:885] (1/2) Epoch 9, batch 1100, loss[loss=0.3339, simple_loss=0.3934, pruned_loss=0.1371, over 14342.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03938, over 167.00 utterances.], tot_loss[loss=0.3256, simple_loss=0.3835, pruned_loss=0.1338, over 2765098.42 frames. utt_duration=230.2 frames, utt_pad_proportion=0.07476, over 48354.46 utterances.], batch size: 167, lr: 5.14e-04
+2022-09-17 17:34:13,066 INFO [train.py:885] (1/2) Epoch 9, batch 1150, loss[loss=0.2281, simple_loss=0.2868, pruned_loss=0.08469, over 13815.00 frames. utt_duration=802.3 frames, utt_pad_proportion=0.06599, over 69.00 utterances.], tot_loss[loss=0.3191, simple_loss=0.3771, pruned_loss=0.1305, over 2765424.32 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07491, over 46454.94 utterances.], batch size: 69, lr: 5.14e-04
+2022-09-17 17:34:42,823 INFO [train.py:885] (1/2) Epoch 9, batch 1200, loss[loss=0.3739, simple_loss=0.4356, pruned_loss=0.1562, over 13998.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05601, over 365.00 utterances.], tot_loss[loss=0.3208, simple_loss=0.3795, pruned_loss=0.1311, over 2768115.65 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07685, over 47676.35 utterances.], batch size: 365, lr: 5.14e-04
+2022-09-17 17:35:12,258 INFO [train.py:885] (1/2) Epoch 9, batch 1250, loss[loss=0.3816, simple_loss=0.4076, pruned_loss=0.1778, over 14263.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.04325, over 154.00 utterances.], tot_loss[loss=0.3232, simple_loss=0.3808, pruned_loss=0.1328, over 2772368.63 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07621, over 48199.47 utterances.], batch size: 154, lr: 5.14e-04
+2022-09-17 17:35:42,170 INFO [train.py:885] (1/2) Epoch 9, batch 1300, loss[loss=0.2649, simple_loss=0.3266, pruned_loss=0.1016, over 14238.00 frames. utt_duration=524.1 frames, utt_pad_proportion=0.04011, over 109.00 utterances.], tot_loss[loss=0.3263, simple_loss=0.3838, pruned_loss=0.1344, over 2771563.70 frames. utt_duration=228 frames, utt_pad_proportion=0.0761, over 48933.56 utterances.], batch size: 109, lr: 5.14e-04
+2022-09-17 17:36:12,027 INFO [train.py:885] (1/2) Epoch 9, batch 1350, loss[loss=0.3699, simple_loss=0.4129, pruned_loss=0.1635, over 14250.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04196, over 335.00 utterances.], tot_loss[loss=0.3262, simple_loss=0.3835, pruned_loss=0.1344, over 2776910.75 frames. utt_duration=230 frames, utt_pad_proportion=0.07397, over 48600.75 utterances.], batch size: 335, lr: 5.13e-04
+2022-09-17 17:36:40,963 INFO [train.py:885] (1/2) Epoch 9, batch 1400, loss[loss=0.257, simple_loss=0.327, pruned_loss=0.09353, over 14317.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.04092, over 141.00 utterances.], tot_loss[loss=0.3215, simple_loss=0.3795, pruned_loss=0.1317, over 2778317.48 frames. utt_duration=235 frames, utt_pad_proportion=0.07367, over 47587.41 utterances.], batch size: 141, lr: 5.13e-04
+2022-09-17 17:37:10,817 INFO [train.py:885] (1/2) Epoch 9, batch 1450, loss[loss=0.1462, simple_loss=0.1884, pruned_loss=0.05204, over 13270.00 frames. utt_duration=1610 frames, utt_pad_proportion=0.1087, over 33.00 utterances.], tot_loss[loss=0.3222, simple_loss=0.3801, pruned_loss=0.1321, over 2777424.40 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07408, over 48366.85 utterances.], batch size: 33, lr: 5.13e-04
+2022-09-17 17:37:39,621 INFO [train.py:885] (1/2) Epoch 9, batch 1500, loss[loss=0.218, simple_loss=0.2657, pruned_loss=0.08513, over 13488.00 frames. utt_duration=2000 frames, utt_pad_proportion=0.09889, over 27.00 utterances.], tot_loss[loss=0.3204, simple_loss=0.3778, pruned_loss=0.1315, over 2778156.38 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07252, over 47120.46 utterances.], batch size: 27, lr: 5.13e-04
+2022-09-17 17:38:09,708 INFO [train.py:885] (1/2) Epoch 9, batch 1550, loss[loss=0.2522, simple_loss=0.3047, pruned_loss=0.09988, over 13836.00 frames. utt_duration=803.4 frames, utt_pad_proportion=0.06257, over 69.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.3788, pruned_loss=0.1319, over 2779984.92 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07193, over 47269.37 utterances.], batch size: 69, lr: 5.13e-04
+2022-09-17 17:38:38,703 INFO [train.py:885] (1/2) Epoch 9, batch 1600, loss[loss=0.3882, simple_loss=0.4294, pruned_loss=0.1735, over 14363.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03272, over 244.00 utterances.], tot_loss[loss=0.3214, simple_loss=0.3784, pruned_loss=0.1322, over 2780569.05 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07041, over 46848.29 utterances.], batch size: 244, lr: 5.13e-04
+2022-09-17 17:39:08,635 INFO [train.py:885] (1/2) Epoch 9, batch 1650, loss[loss=0.3277, simple_loss=0.391, pruned_loss=0.1322, over 14276.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04006, over 180.00 utterances.], tot_loss[loss=0.3209, simple_loss=0.3786, pruned_loss=0.1316, over 2783140.21 frames. utt_duration=240 frames, utt_pad_proportion=0.07091, over 46681.64 utterances.], batch size: 180, lr: 5.13e-04
+2022-09-17 17:39:37,841 INFO [train.py:885] (1/2) Epoch 9, batch 1700, loss[loss=0.2478, simple_loss=0.2952, pruned_loss=0.1002, over 14053.00 frames. utt_duration=712.9 frames, utt_pad_proportion=0.05705, over 79.00 utterances.], tot_loss[loss=0.3169, simple_loss=0.3753, pruned_loss=0.1293, over 2775940.01 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07358, over 46281.55 utterances.], batch size: 79, lr: 5.13e-04
+2022-09-17 17:40:07,655 INFO [train.py:885] (1/2) Epoch 9, batch 1750, loss[loss=0.3272, simple_loss=0.3948, pruned_loss=0.1298, over 14323.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04043, over 167.00 utterances.], tot_loss[loss=0.32, simple_loss=0.3778, pruned_loss=0.1311, over 2777671.66 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07181, over 46158.62 utterances.], batch size: 167, lr: 5.12e-04
+2022-09-17 17:40:37,376 INFO [train.py:885] (1/2) Epoch 9, batch 1800, loss[loss=0.3073, simple_loss=0.378, pruned_loss=0.1183, over 14307.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03837, over 180.00 utterances.], tot_loss[loss=0.3219, simple_loss=0.3795, pruned_loss=0.1322, over 2775734.10 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07379, over 47503.11 utterances.], batch size: 180, lr: 5.12e-04
+2022-09-17 17:41:06,820 INFO [train.py:885] (1/2) Epoch 9, batch 1850, loss[loss=0.2018, simple_loss=0.2655, pruned_loss=0.06907, over 13593.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.09105, over 42.00 utterances.], tot_loss[loss=0.3221, simple_loss=0.3802, pruned_loss=0.132, over 2775960.53 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07489, over 47944.47 utterances.], batch size: 42, lr: 5.12e-04
+2022-09-17 17:41:36,471 INFO [train.py:885] (1/2) Epoch 9, batch 1900, loss[loss=0.3174, simple_loss=0.3768, pruned_loss=0.129, over 14332.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04001, over 167.00 utterances.], tot_loss[loss=0.3252, simple_loss=0.3825, pruned_loss=0.1339, over 2781120.61 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07278, over 48075.88 utterances.], batch size: 167, lr: 5.12e-04
+2022-09-17 17:42:05,723 INFO [train.py:885] (1/2) Epoch 9, batch 1950, loss[loss=0.3964, simple_loss=0.4368, pruned_loss=0.178, over 14223.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04373, over 306.00 utterances.], tot_loss[loss=0.325, simple_loss=0.3813, pruned_loss=0.1343, over 2772703.89 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07485, over 47678.82 utterances.], batch size: 306, lr: 5.12e-04
+2022-09-17 17:42:35,270 INFO [train.py:885] (1/2) Epoch 9, batch 2000, loss[loss=0.2146, simple_loss=0.2757, pruned_loss=0.07676, over 12934.00 frames. utt_duration=2071 frames, utt_pad_proportion=0.1089, over 25.00 utterances.], tot_loss[loss=0.318, simple_loss=0.375, pruned_loss=0.1305, over 2778589.96 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07146, over 44755.61 utterances.], batch size: 25, lr: 5.12e-04
+2022-09-17 17:43:04,381 INFO [train.py:885] (1/2) Epoch 9, batch 2050, loss[loss=0.2413, simple_loss=0.3074, pruned_loss=0.08757, over 14155.00 frames. utt_duration=637.7 frames, utt_pad_proportion=0.04679, over 89.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.378, pruned_loss=0.1323, over 2778181.58 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07223, over 45790.70 utterances.], batch size: 89, lr: 5.12e-04
+2022-09-17 17:43:34,278 INFO [train.py:885] (1/2) Epoch 9, batch 2100, loss[loss=0.3521, simple_loss=0.4053, pruned_loss=0.1494, over 14306.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03985, over 283.00 utterances.], tot_loss[loss=0.3219, simple_loss=0.3789, pruned_loss=0.1324, over 2769666.01 frames. utt_duration=236.8 frames, utt_pad_proportion=0.0752, over 47077.49 utterances.], batch size: 283, lr: 5.12e-04
+2022-09-17 17:44:04,013 INFO [train.py:885] (1/2) Epoch 9, batch 2150, loss[loss=0.3705, simple_loss=0.3961, pruned_loss=0.1724, over 14226.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04684, over 141.00 utterances.], tot_loss[loss=0.3215, simple_loss=0.3785, pruned_loss=0.1323, over 2773736.65 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07428, over 46741.88 utterances.], batch size: 141, lr: 5.11e-04
+2022-09-17 17:44:33,896 INFO [train.py:885] (1/2) Epoch 9, batch 2200, loss[loss=0.4029, simple_loss=0.4382, pruned_loss=0.1838, over 14214.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04437, over 306.00 utterances.], tot_loss[loss=0.3216, simple_loss=0.3785, pruned_loss=0.1324, over 2780166.91 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07077, over 46113.03 utterances.], batch size: 306, lr: 5.11e-04
+2022-09-17 17:45:03,584 INFO [train.py:885] (1/2) Epoch 9, batch 2250, loss[loss=0.308, simple_loss=0.3712, pruned_loss=0.1224, over 14348.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.03796, over 154.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.3775, pruned_loss=0.1326, over 2781131.04 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06843, over 44984.82 utterances.], batch size: 154, lr: 5.11e-04
+2022-09-17 17:45:32,516 INFO [train.py:885] (1/2) Epoch 9, batch 2300, loss[loss=0.2741, simple_loss=0.341, pruned_loss=0.1036, over 14226.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04706, over 141.00 utterances.], tot_loss[loss=0.3203, simple_loss=0.3769, pruned_loss=0.1319, over 2779107.30 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07093, over 45472.40 utterances.], batch size: 141, lr: 5.11e-04
+2022-09-17 17:46:02,324 INFO [train.py:885] (1/2) Epoch 9, batch 2350, loss[loss=0.226, simple_loss=0.2876, pruned_loss=0.08218, over 13582.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08558, over 50.00 utterances.], tot_loss[loss=0.3222, simple_loss=0.3784, pruned_loss=0.133, over 2775261.63 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07274, over 46266.14 utterances.], batch size: 50, lr: 5.11e-04
+2022-09-17 17:46:31,685 INFO [train.py:885] (1/2) Epoch 9, batch 2400, loss[loss=0.3925, simple_loss=0.4697, pruned_loss=0.1577, over 13593.00 frames. utt_duration=98.52 frames, utt_pad_proportion=0.07924, over 560.00 utterances.], tot_loss[loss=0.3201, simple_loss=0.3765, pruned_loss=0.1318, over 2775008.66 frames. utt_duration=243 frames, utt_pad_proportion=0.07394, over 45965.76 utterances.], batch size: 560, lr: 5.11e-04
+2022-09-17 17:47:01,715 INFO [train.py:885] (1/2) Epoch 9, batch 2450, loss[loss=0.7715, simple_loss=0.7689, pruned_loss=0.387, over 12459.00 frames. utt_duration=63.14 frames, utt_pad_proportion=0.1467, over 810.00 utterances.], tot_loss[loss=0.3208, simple_loss=0.3765, pruned_loss=0.1326, over 2774217.14 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07489, over 45291.25 utterances.], batch size: 810, lr: 5.11e-04
+2022-09-17 17:47:31,687 INFO [train.py:885] (1/2) Epoch 9, batch 2500, loss[loss=0.2573, simple_loss=0.3349, pruned_loss=0.08987, over 14256.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04531, over 141.00 utterances.], tot_loss[loss=0.325, simple_loss=0.3808, pruned_loss=0.1346, over 2777636.84 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07343, over 46758.18 utterances.], batch size: 141, lr: 5.11e-04
+2022-09-17 17:48:00,996 INFO [train.py:885] (1/2) Epoch 9, batch 2550, loss[loss=0.3702, simple_loss=0.4553, pruned_loss=0.1425, over 13575.00 frames. utt_duration=98.43 frames, utt_pad_proportion=0.08012, over 560.00 utterances.], tot_loss[loss=0.3237, simple_loss=0.3801, pruned_loss=0.1336, over 2779735.98 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07276, over 46764.12 utterances.], batch size: 560, lr: 5.10e-04
+2022-09-17 17:48:29,398 INFO [train.py:885] (1/2) Epoch 9, batch 2600, loss[loss=0.2159, simple_loss=0.28, pruned_loss=0.07588, over 13887.00 frames. utt_duration=704.6 frames, utt_pad_proportion=0.068, over 79.00 utterances.], tot_loss[loss=0.3178, simple_loss=0.3743, pruned_loss=0.1306, over 2778758.90 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07016, over 44230.76 utterances.], batch size: 79, lr: 5.10e-04
+2022-09-17 17:49:07,114 INFO [train.py:885] (1/2) Epoch 9, batch 2650, loss[loss=0.2461, simple_loss=0.3056, pruned_loss=0.09329, over 14131.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.05053, over 98.00 utterances.], tot_loss[loss=0.3196, simple_loss=0.3761, pruned_loss=0.1315, over 2782824.77 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07049, over 44478.84 utterances.], batch size: 98, lr: 5.10e-04
+2022-09-17 17:49:35,970 INFO [train.py:885] (1/2) Epoch 9, batch 2700, loss[loss=0.4032, simple_loss=0.4907, pruned_loss=0.1578, over 13147.00 frames. utt_duration=82.04 frames, utt_pad_proportion=0.1083, over 653.00 utterances.], tot_loss[loss=0.319, simple_loss=0.3763, pruned_loss=0.1309, over 2785757.23 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06987, over 44745.80 utterances.], batch size: 653, lr: 5.10e-04
+2022-09-17 17:50:06,348 INFO [train.py:885] (1/2) Epoch 9, batch 2750, loss[loss=0.2506, simple_loss=0.3053, pruned_loss=0.09789, over 13924.00 frames. utt_duration=706.4 frames, utt_pad_proportion=0.06067, over 79.00 utterances.], tot_loss[loss=0.3238, simple_loss=0.3804, pruned_loss=0.1336, over 2783687.85 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07196, over 45941.53 utterances.], batch size: 79, lr: 5.10e-04
+2022-09-17 17:50:34,859 INFO [train.py:885] (1/2) Epoch 9, batch 2800, loss[loss=0.3227, simple_loss=0.4045, pruned_loss=0.1204, over 13952.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05927, over 365.00 utterances.], tot_loss[loss=0.3205, simple_loss=0.3774, pruned_loss=0.1318, over 2785383.70 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07009, over 44761.91 utterances.], batch size: 365, lr: 5.10e-04
+2022-09-17 17:51:05,659 INFO [train.py:885] (1/2) Epoch 9, batch 2850, loss[loss=0.2092, simple_loss=0.2879, pruned_loss=0.06521, over 13556.00 frames. utt_duration=1324 frames, utt_pad_proportion=0.0735, over 41.00 utterances.], tot_loss[loss=0.3209, simple_loss=0.3775, pruned_loss=0.1322, over 2785286.48 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07018, over 44891.54 utterances.], batch size: 41, lr: 5.10e-04
+2022-09-17 17:51:34,622 INFO [train.py:885] (1/2) Epoch 9, batch 2900, loss[loss=0.2895, simple_loss=0.3542, pruned_loss=0.1125, over 14326.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.0374, over 154.00 utterances.], tot_loss[loss=0.3178, simple_loss=0.3747, pruned_loss=0.1305, over 2787585.59 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06922, over 43856.98 utterances.], batch size: 154, lr: 5.10e-04
+2022-09-17 17:52:04,397 INFO [train.py:885] (1/2) Epoch 9, batch 2950, loss[loss=0.3712, simple_loss=0.4226, pruned_loss=0.1599, over 14170.00 frames. utt_duration=186.8 frames, utt_pad_proportion=0.0469, over 306.00 utterances.], tot_loss[loss=0.322, simple_loss=0.3788, pruned_loss=0.1326, over 2787547.61 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07011, over 45713.12 utterances.], batch size: 306, lr: 5.09e-04
+2022-09-17 17:52:34,261 INFO [train.py:885] (1/2) Epoch 9, batch 3000, loss[loss=0.346, simple_loss=0.4035, pruned_loss=0.1443, over 14331.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03799, over 283.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.3803, pruned_loss=0.1326, over 2783603.51 frames. utt_duration=238 frames, utt_pad_proportion=0.073, over 47074.55 utterances.], batch size: 283, lr: 5.09e-04
+2022-09-17 17:52:34,262 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 17:52:38,442 INFO [train.py:914] (1/2) Epoch 9, validation: loss=0.2097, simple_loss=0.2858, pruned_loss=0.06676, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 17:53:08,709 INFO [train.py:885] (1/2) Epoch 9, batch 3050, loss[loss=0.3295, simple_loss=0.3749, pruned_loss=0.142, over 14303.00 frames. utt_duration=373 frames, utt_pad_proportion=0.03878, over 154.00 utterances.], tot_loss[loss=0.3234, simple_loss=0.3802, pruned_loss=0.1333, over 2783779.35 frames. utt_duration=238 frames, utt_pad_proportion=0.07343, over 47076.27 utterances.], batch size: 154, lr: 5.09e-04
+2022-09-17 17:53:37,855 INFO [train.py:885] (1/2) Epoch 9, batch 3100, loss[loss=0.4334, simple_loss=0.5094, pruned_loss=0.1787, over 13163.00 frames. utt_duration=82.16 frames, utt_pad_proportion=0.1069, over 653.00 utterances.], tot_loss[loss=0.3232, simple_loss=0.3801, pruned_loss=0.1331, over 2786348.11 frames. utt_duration=239.3 frames, utt_pad_proportion=0.0715, over 46869.50 utterances.], batch size: 653, lr: 5.09e-04
+2022-09-17 17:54:07,746 INFO [train.py:885] (1/2) Epoch 9, batch 3150, loss[loss=0.2837, simple_loss=0.3536, pruned_loss=0.1069, over 14276.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04014, over 180.00 utterances.], tot_loss[loss=0.3222, simple_loss=0.3794, pruned_loss=0.1325, over 2783818.90 frames. utt_duration=238 frames, utt_pad_proportion=0.07197, over 47081.33 utterances.], batch size: 180, lr: 5.09e-04
+2022-09-17 17:54:37,018 INFO [train.py:885] (1/2) Epoch 9, batch 3200, loss[loss=0.3774, simple_loss=0.4232, pruned_loss=0.1658, over 14233.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04272, over 306.00 utterances.], tot_loss[loss=0.3193, simple_loss=0.3757, pruned_loss=0.1315, over 2783331.69 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07054, over 45734.56 utterances.], batch size: 306, lr: 5.09e-04
+2022-09-17 17:55:06,270 INFO [train.py:885] (1/2) Epoch 9, batch 3250, loss[loss=0.4703, simple_loss=0.4844, pruned_loss=0.2281, over 14271.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04054, over 335.00 utterances.], tot_loss[loss=0.3183, simple_loss=0.3747, pruned_loss=0.131, over 2781090.36 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07085, over 45233.78 utterances.], batch size: 335, lr: 5.09e-04
+2022-09-17 17:55:35,119 INFO [train.py:885] (1/2) Epoch 9, batch 3300, loss[loss=0.2279, simple_loss=0.2859, pruned_loss=0.08496, over 14189.00 frames. utt_duration=639.1 frames, utt_pad_proportion=0.04752, over 89.00 utterances.], tot_loss[loss=0.3178, simple_loss=0.3748, pruned_loss=0.1304, over 2780501.60 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07044, over 45382.17 utterances.], batch size: 89, lr: 5.09e-04
+2022-09-17 17:56:04,853 INFO [train.py:885] (1/2) Epoch 9, batch 3350, loss[loss=0.3226, simple_loss=0.4114, pruned_loss=0.1169, over 13746.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07341, over 411.00 utterances.], tot_loss[loss=0.3165, simple_loss=0.3746, pruned_loss=0.1293, over 2779341.88 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07278, over 46244.36 utterances.], batch size: 411, lr: 5.08e-04
+2022-09-17 17:56:33,804 INFO [train.py:885] (1/2) Epoch 9, batch 3400, loss[loss=0.179, simple_loss=0.2518, pruned_loss=0.05306, over 13960.00 frames. utt_duration=708.4 frames, utt_pad_proportion=0.06296, over 79.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3743, pruned_loss=0.1294, over 2780943.07 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07066, over 45950.45 utterances.], batch size: 79, lr: 5.08e-04
+2022-09-17 17:57:03,818 INFO [train.py:885] (1/2) Epoch 9, batch 3450, loss[loss=0.2481, simple_loss=0.3051, pruned_loss=0.09558, over 14175.00 frames. utt_duration=638.4 frames, utt_pad_proportion=0.04859, over 89.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.375, pruned_loss=0.1296, over 2774477.53 frames. utt_duration=239 frames, utt_pad_proportion=0.07494, over 46723.13 utterances.], batch size: 89, lr: 5.08e-04
+2022-09-17 17:57:33,585 INFO [train.py:885] (1/2) Epoch 9, batch 3500, loss[loss=0.3298, simple_loss=0.39, pruned_loss=0.1348, over 14338.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03768, over 262.00 utterances.], tot_loss[loss=0.3207, simple_loss=0.3785, pruned_loss=0.1315, over 2775471.00 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07291, over 47467.87 utterances.], batch size: 262, lr: 5.08e-04
+2022-09-17 17:58:02,844 INFO [train.py:885] (1/2) Epoch 9, batch 3550, loss[loss=0.324, simple_loss=0.3857, pruned_loss=0.1312, over 14431.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03266, over 196.00 utterances.], tot_loss[loss=0.3218, simple_loss=0.3794, pruned_loss=0.1321, over 2779862.10 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07257, over 47514.87 utterances.], batch size: 196, lr: 5.08e-04
+2022-09-17 17:58:32,624 INFO [train.py:885] (1/2) Epoch 9, batch 3600, loss[loss=0.2219, simple_loss=0.2859, pruned_loss=0.07896, over 13834.00 frames. utt_duration=803.5 frames, utt_pad_proportion=0.0646, over 69.00 utterances.], tot_loss[loss=0.3209, simple_loss=0.3776, pruned_loss=0.132, over 2776002.55 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07372, over 46698.16 utterances.], batch size: 69, lr: 5.08e-04
+2022-09-17 17:59:02,089 INFO [train.py:885] (1/2) Epoch 9, batch 3650, loss[loss=0.3127, simple_loss=0.3814, pruned_loss=0.122, over 14290.00 frames. utt_duration=254.3 frames, utt_pad_proportion=0.04022, over 226.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3733, pruned_loss=0.1299, over 2775565.41 frames. utt_duration=250 frames, utt_pad_proportion=0.0718, over 44663.27 utterances.], batch size: 226, lr: 5.08e-04
+2022-09-17 17:59:31,784 INFO [train.py:885] (1/2) Epoch 9, batch 3700, loss[loss=0.1949, simple_loss=0.2429, pruned_loss=0.07345, over 13433.00 frames. utt_duration=1281 frames, utt_pad_proportion=0.1012, over 42.00 utterances.], tot_loss[loss=0.3131, simple_loss=0.3706, pruned_loss=0.1277, over 2778727.94 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06872, over 43798.30 utterances.], batch size: 42, lr: 5.08e-04
+2022-09-17 18:00:01,337 INFO [train.py:885] (1/2) Epoch 9, batch 3750, loss[loss=0.1843, simple_loss=0.2439, pruned_loss=0.06236, over 13411.00 frames. utt_duration=1074 frames, utt_pad_proportion=0.09782, over 50.00 utterances.], tot_loss[loss=0.3158, simple_loss=0.3735, pruned_loss=0.1291, over 2779713.70 frames. utt_duration=251 frames, utt_pad_proportion=0.07179, over 44559.58 utterances.], batch size: 50, lr: 5.08e-04
+2022-09-17 18:00:31,099 INFO [train.py:885] (1/2) Epoch 9, batch 3800, loss[loss=0.3346, simple_loss=0.3969, pruned_loss=0.1361, over 14323.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03912, over 262.00 utterances.], tot_loss[loss=0.3197, simple_loss=0.3774, pruned_loss=0.131, over 2779133.77 frames. utt_duration=242.8 frames, utt_pad_proportion=0.0729, over 46061.67 utterances.], batch size: 262, lr: 5.07e-04
+2022-09-17 18:01:00,374 INFO [train.py:885] (1/2) Epoch 9, batch 3850, loss[loss=0.289, simple_loss=0.3514, pruned_loss=0.1133, over 14257.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04264, over 141.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3734, pruned_loss=0.1297, over 2780137.56 frames. utt_duration=255.9 frames, utt_pad_proportion=0.07027, over 43702.83 utterances.], batch size: 141, lr: 5.07e-04
+2022-09-17 18:01:29,742 INFO [train.py:885] (1/2) Epoch 9, batch 3900, loss[loss=0.2238, simple_loss=0.2797, pruned_loss=0.08394, over 13878.00 frames. utt_duration=806 frames, utt_pad_proportion=0.06062, over 69.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.379, pruned_loss=0.1333, over 2779072.49 frames. utt_duration=243 frames, utt_pad_proportion=0.07387, over 46017.14 utterances.], batch size: 69, lr: 5.07e-04
+2022-09-17 18:01:59,504 INFO [train.py:885] (1/2) Epoch 9, batch 3950, loss[loss=0.3612, simple_loss=0.4093, pruned_loss=0.1566, over 14304.00 frames. utt_duration=273.8 frames, utt_pad_proportion=0.0393, over 210.00 utterances.], tot_loss[loss=0.3265, simple_loss=0.3835, pruned_loss=0.1347, over 2776692.80 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07483, over 48003.96 utterances.], batch size: 210, lr: 5.07e-04
+2022-09-17 18:02:28,213 INFO [train.py:885] (1/2) Epoch 9, batch 4000, loss[loss=0.4436, simple_loss=0.5184, pruned_loss=0.1844, over 13145.00 frames. utt_duration=82.05 frames, utt_pad_proportion=0.1081, over 653.00 utterances.], tot_loss[loss=0.323, simple_loss=0.3804, pruned_loss=0.1328, over 2778789.17 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07274, over 47298.97 utterances.], batch size: 653, lr: 5.07e-04
+2022-09-17 18:02:57,847 INFO [train.py:885] (1/2) Epoch 9, batch 4050, loss[loss=0.2946, simple_loss=0.37, pruned_loss=0.1096, over 14321.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03737, over 180.00 utterances.], tot_loss[loss=0.3189, simple_loss=0.3773, pruned_loss=0.1303, over 2779663.11 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07256, over 46675.72 utterances.], batch size: 180, lr: 5.07e-04
+2022-09-17 18:03:27,230 INFO [train.py:885] (1/2) Epoch 9, batch 4100, loss[loss=0.4979, simple_loss=0.5004, pruned_loss=0.2477, over 14237.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.04336, over 225.00 utterances.], tot_loss[loss=0.3224, simple_loss=0.3795, pruned_loss=0.1327, over 2782729.94 frames. utt_duration=237 frames, utt_pad_proportion=0.07151, over 47254.84 utterances.], batch size: 225, lr: 5.07e-04
+2022-09-17 18:04:04,316 INFO [train.py:885] (1/2) Epoch 9, batch 4150, loss[loss=0.357, simple_loss=0.4147, pruned_loss=0.1497, over 14323.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03878, over 262.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.379, pruned_loss=0.1318, over 2783147.70 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07133, over 47429.02 utterances.], batch size: 262, lr: 5.07e-04
+2022-09-17 18:04:32,879 INFO [train.py:885] (1/2) Epoch 9, batch 4200, loss[loss=0.3757, simple_loss=0.4199, pruned_loss=0.1657, over 14369.00 frames. utt_duration=220.7 frames, utt_pad_proportion=0.0364, over 262.00 utterances.], tot_loss[loss=0.3174, simple_loss=0.3747, pruned_loss=0.1301, over 2782866.50 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06956, over 44980.75 utterances.], batch size: 262, lr: 5.06e-04
+2022-09-17 18:05:01,977 INFO [train.py:885] (1/2) Epoch 9, batch 4250, loss[loss=0.2175, simple_loss=0.2775, pruned_loss=0.07877, over 13358.00 frames. utt_duration=1070 frames, utt_pad_proportion=0.09744, over 50.00 utterances.], tot_loss[loss=0.3153, simple_loss=0.3724, pruned_loss=0.1291, over 2782130.67 frames. utt_duration=252.2 frames, utt_pad_proportion=0.0686, over 44378.30 utterances.], batch size: 50, lr: 5.06e-04
+2022-09-17 18:05:31,475 INFO [train.py:885] (1/2) Epoch 9, batch 4300, loss[loss=0.2515, simple_loss=0.3007, pruned_loss=0.1011, over 13707.00 frames. utt_duration=796.2 frames, utt_pad_proportion=0.07307, over 69.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3739, pruned_loss=0.1297, over 2779324.55 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07092, over 45675.84 utterances.], batch size: 69, lr: 5.06e-04
+2022-09-17 18:06:00,422 INFO [train.py:885] (1/2) Epoch 9, batch 4350, loss[loss=0.3845, simple_loss=0.4566, pruned_loss=0.1562, over 13807.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06921, over 411.00 utterances.], tot_loss[loss=0.3121, simple_loss=0.3702, pruned_loss=0.127, over 2782051.22 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06943, over 44485.76 utterances.], batch size: 411, lr: 5.06e-04
+2022-09-17 18:06:29,944 INFO [train.py:885] (1/2) Epoch 9, batch 4400, loss[loss=0.352, simple_loss=0.4157, pruned_loss=0.1441, over 14394.00 frames. utt_duration=275.5 frames, utt_pad_proportion=0.03328, over 210.00 utterances.], tot_loss[loss=0.3151, simple_loss=0.3731, pruned_loss=0.1285, over 2778642.01 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07123, over 45294.26 utterances.], batch size: 210, lr: 5.06e-04
+2022-09-17 18:06:59,148 INFO [train.py:885] (1/2) Epoch 9, batch 4450, loss[loss=0.363, simple_loss=0.4076, pruned_loss=0.1592, over 14296.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03844, over 180.00 utterances.], tot_loss[loss=0.3209, simple_loss=0.3779, pruned_loss=0.1319, over 2777016.37 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07275, over 46710.93 utterances.], batch size: 180, lr: 5.06e-04
+2022-09-17 18:07:28,195 INFO [train.py:885] (1/2) Epoch 9, batch 4500, loss[loss=0.2851, simple_loss=0.3422, pruned_loss=0.114, over 14280.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.04143, over 120.00 utterances.], tot_loss[loss=0.3244, simple_loss=0.3814, pruned_loss=0.1337, over 2776193.86 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07432, over 48364.95 utterances.], batch size: 120, lr: 5.06e-04
+2022-09-17 18:07:57,327 INFO [train.py:885] (1/2) Epoch 9, batch 4550, loss[loss=0.3502, simple_loss=0.4353, pruned_loss=0.1325, over 13624.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08206, over 477.00 utterances.], tot_loss[loss=0.325, simple_loss=0.3826, pruned_loss=0.1337, over 2775364.33 frames. utt_duration=226.1 frames, utt_pad_proportion=0.07491, over 49432.85 utterances.], batch size: 477, lr: 5.06e-04
+2022-09-17 18:08:26,783 INFO [train.py:885] (1/2) Epoch 9, batch 4600, loss[loss=0.317, simple_loss=0.3845, pruned_loss=0.1247, over 14250.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04226, over 225.00 utterances.], tot_loss[loss=0.3239, simple_loss=0.3813, pruned_loss=0.1333, over 2779782.28 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07297, over 48473.92 utterances.], batch size: 225, lr: 5.05e-04
+2022-09-17 18:08:56,705 INFO [train.py:885] (1/2) Epoch 9, batch 4650, loss[loss=0.1945, simple_loss=0.245, pruned_loss=0.07201, over 12848.00 frames. utt_duration=2057 frames, utt_pad_proportion=0.1202, over 25.00 utterances.], tot_loss[loss=0.3242, simple_loss=0.3816, pruned_loss=0.1334, over 2776159.47 frames. utt_duration=228.4 frames, utt_pad_proportion=0.07406, over 48929.72 utterances.], batch size: 25, lr: 5.05e-04
+2022-09-17 18:09:25,602 INFO [train.py:885] (1/2) Epoch 9, batch 4700, loss[loss=0.4522, simple_loss=0.4723, pruned_loss=0.216, over 14303.00 frames. utt_duration=274 frames, utt_pad_proportion=0.03871, over 210.00 utterances.], tot_loss[loss=0.3208, simple_loss=0.378, pruned_loss=0.1318, over 2780002.32 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07179, over 46847.56 utterances.], batch size: 210, lr: 5.05e-04
+2022-09-17 18:09:55,505 INFO [train.py:885] (1/2) Epoch 9, batch 4750, loss[loss=0.2254, simple_loss=0.279, pruned_loss=0.08586, over 13811.00 frames. utt_duration=922.1 frames, utt_pad_proportion=0.06477, over 60.00 utterances.], tot_loss[loss=0.3214, simple_loss=0.3789, pruned_loss=0.132, over 2774944.35 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07454, over 47354.97 utterances.], batch size: 60, lr: 5.05e-04
+2022-09-17 18:10:24,751 INFO [train.py:885] (1/2) Epoch 9, batch 4800, loss[loss=0.3489, simple_loss=0.4015, pruned_loss=0.1481, over 14318.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03862, over 283.00 utterances.], tot_loss[loss=0.3184, simple_loss=0.3757, pruned_loss=0.1305, over 2771918.87 frames. utt_duration=242.1 frames, utt_pad_proportion=0.0737, over 46084.64 utterances.], batch size: 283, lr: 5.05e-04
+2022-09-17 18:10:54,443 INFO [train.py:885] (1/2) Epoch 9, batch 4850, loss[loss=0.1998, simple_loss=0.2526, pruned_loss=0.07349, over 12813.00 frames. utt_duration=2051 frames, utt_pad_proportion=0.1285, over 25.00 utterances.], tot_loss[loss=0.3201, simple_loss=0.3778, pruned_loss=0.1312, over 2773444.05 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07481, over 47169.90 utterances.], batch size: 25, lr: 5.05e-04
+2022-09-17 18:11:24,284 INFO [train.py:885] (1/2) Epoch 9, batch 4900, loss[loss=0.3176, simple_loss=0.3867, pruned_loss=0.1243, over 14370.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03264, over 244.00 utterances.], tot_loss[loss=0.3186, simple_loss=0.3765, pruned_loss=0.1304, over 2776399.70 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07339, over 46249.47 utterances.], batch size: 244, lr: 5.05e-04
+2022-09-17 18:11:54,085 INFO [train.py:885] (1/2) Epoch 9, batch 4950, loss[loss=0.4254, simple_loss=0.5088, pruned_loss=0.171, over 13205.00 frames. utt_duration=82.43 frames, utt_pad_proportion=0.104, over 653.00 utterances.], tot_loss[loss=0.3177, simple_loss=0.376, pruned_loss=0.1297, over 2772765.32 frames. utt_duration=240 frames, utt_pad_proportion=0.07434, over 46501.66 utterances.], batch size: 653, lr: 5.05e-04
+2022-09-17 18:12:23,909 INFO [train.py:885] (1/2) Epoch 9, batch 5000, loss[loss=0.3403, simple_loss=0.4359, pruned_loss=0.1223, over 13640.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08025, over 477.00 utterances.], tot_loss[loss=0.3199, simple_loss=0.3781, pruned_loss=0.1308, over 2780221.20 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07339, over 46853.75 utterances.], batch size: 477, lr: 5.05e-04
+2022-09-17 18:12:53,017 INFO [train.py:885] (1/2) Epoch 9, batch 5050, loss[loss=0.3779, simple_loss=0.4208, pruned_loss=0.1675, over 14326.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03754, over 210.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3746, pruned_loss=0.1291, over 2780062.54 frames. utt_duration=245 frames, utt_pad_proportion=0.07076, over 45663.86 utterances.], batch size: 210, lr: 5.04e-04
+2022-09-17 18:13:22,369 INFO [train.py:885] (1/2) Epoch 9, batch 5100, loss[loss=0.1659, simple_loss=0.2114, pruned_loss=0.06022, over 13305.00 frames. utt_duration=1614 frames, utt_pad_proportion=0.1059, over 33.00 utterances.], tot_loss[loss=0.3167, simple_loss=0.3742, pruned_loss=0.1296, over 2779260.27 frames. utt_duration=247 frames, utt_pad_proportion=0.07199, over 45286.20 utterances.], batch size: 33, lr: 5.04e-04
+2022-09-17 18:13:51,705 INFO [train.py:885] (1/2) Epoch 9, batch 5150, loss[loss=0.2193, simple_loss=0.285, pruned_loss=0.0768, over 14064.00 frames. utt_duration=713.4 frames, utt_pad_proportion=0.05504, over 79.00 utterances.], tot_loss[loss=0.3147, simple_loss=0.3719, pruned_loss=0.1288, over 2781075.58 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07061, over 43805.77 utterances.], batch size: 79, lr: 5.04e-04
+2022-09-17 18:14:21,067 INFO [train.py:885] (1/2) Epoch 9, batch 5200, loss[loss=0.3189, simple_loss=0.3651, pruned_loss=0.1363, over 14142.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.04683, over 109.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3669, pruned_loss=0.1261, over 2781010.72 frames. utt_duration=261.7 frames, utt_pad_proportion=0.06793, over 42742.93 utterances.], batch size: 109, lr: 5.04e-04
+2022-09-17 18:14:50,933 INFO [train.py:885] (1/2) Epoch 9, batch 5250, loss[loss=0.1641, simple_loss=0.2153, pruned_loss=0.05643, over 12795.00 frames. utt_duration=1552 frames, utt_pad_proportion=0.1353, over 33.00 utterances.], tot_loss[loss=0.3108, simple_loss=0.3682, pruned_loss=0.1266, over 2779901.43 frames. utt_duration=255.6 frames, utt_pad_proportion=0.06936, over 43763.34 utterances.], batch size: 33, lr: 5.04e-04
+2022-09-17 18:15:20,275 INFO [train.py:885] (1/2) Epoch 9, batch 5300, loss[loss=0.5762, simple_loss=0.6202, pruned_loss=0.2661, over 13176.00 frames. utt_duration=82.28 frames, utt_pad_proportion=0.1057, over 653.00 utterances.], tot_loss[loss=0.3083, simple_loss=0.3656, pruned_loss=0.1255, over 2782947.20 frames. utt_duration=264.8 frames, utt_pad_proportion=0.06755, over 42273.41 utterances.], batch size: 653, lr: 5.04e-04
+2022-09-17 18:15:49,988 INFO [train.py:885] (1/2) Epoch 9, batch 5350, loss[loss=0.3185, simple_loss=0.3915, pruned_loss=0.1228, over 14247.00 frames. utt_duration=318 frames, utt_pad_proportion=0.04209, over 180.00 utterances.], tot_loss[loss=0.3085, simple_loss=0.3657, pruned_loss=0.1257, over 2782600.80 frames. utt_duration=266.3 frames, utt_pad_proportion=0.06731, over 42022.28 utterances.], batch size: 180, lr: 5.04e-04
+2022-09-17 18:16:19,578 INFO [train.py:885] (1/2) Epoch 9, batch 5400, loss[loss=0.2617, simple_loss=0.3293, pruned_loss=0.09705, over 14336.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.03755, over 120.00 utterances.], tot_loss[loss=0.3115, simple_loss=0.3687, pruned_loss=0.1272, over 2779044.44 frames. utt_duration=259.3 frames, utt_pad_proportion=0.06861, over 43113.63 utterances.], batch size: 120, lr: 5.04e-04
+2022-09-17 18:16:48,914 INFO [train.py:885] (1/2) Epoch 9, batch 5450, loss[loss=0.3707, simple_loss=0.4496, pruned_loss=0.1459, over 13679.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07783, over 477.00 utterances.], tot_loss[loss=0.31, simple_loss=0.368, pruned_loss=0.126, over 2779088.28 frames. utt_duration=258.8 frames, utt_pad_proportion=0.06827, over 43197.65 utterances.], batch size: 477, lr: 5.03e-04
+2022-09-17 18:17:18,157 INFO [train.py:885] (1/2) Epoch 9, batch 5500, loss[loss=0.4256, simple_loss=0.5069, pruned_loss=0.1721, over 13160.00 frames. utt_duration=82.13 frames, utt_pad_proportion=0.1073, over 653.00 utterances.], tot_loss[loss=0.3097, simple_loss=0.3678, pruned_loss=0.1258, over 2778435.72 frames. utt_duration=260.4 frames, utt_pad_proportion=0.06871, over 42918.33 utterances.], batch size: 653, lr: 5.03e-04
+2022-09-17 18:17:47,322 INFO [train.py:885] (1/2) Epoch 9, batch 5550, loss[loss=0.3497, simple_loss=0.4111, pruned_loss=0.1442, over 14334.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03474, over 244.00 utterances.], tot_loss[loss=0.3113, simple_loss=0.3697, pruned_loss=0.1265, over 2778984.77 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06996, over 43444.18 utterances.], batch size: 244, lr: 5.03e-04
+2022-09-17 18:18:17,177 INFO [train.py:885] (1/2) Epoch 9, batch 5600, loss[loss=0.1702, simple_loss=0.2198, pruned_loss=0.0603, over 13782.00 frames. utt_duration=1104 frames, utt_pad_proportion=0.07303, over 50.00 utterances.], tot_loss[loss=0.3147, simple_loss=0.3728, pruned_loss=0.1283, over 2780304.35 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07041, over 44307.94 utterances.], batch size: 50, lr: 5.03e-04
+2022-09-17 18:18:47,056 INFO [train.py:885] (1/2) Epoch 9, batch 5650, loss[loss=0.1991, simple_loss=0.2732, pruned_loss=0.06252, over 13894.00 frames. utt_duration=927.8 frames, utt_pad_proportion=0.06564, over 60.00 utterances.], tot_loss[loss=0.3153, simple_loss=0.3734, pruned_loss=0.1285, over 2781599.62 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07029, over 44819.45 utterances.], batch size: 60, lr: 5.03e-04
+2022-09-17 18:19:16,843 INFO [train.py:885] (1/2) Epoch 9, batch 5700, loss[loss=0.3103, simple_loss=0.3688, pruned_loss=0.1259, over 14291.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03966, over 180.00 utterances.], tot_loss[loss=0.3189, simple_loss=0.3775, pruned_loss=0.1301, over 2778289.13 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07298, over 47089.38 utterances.], batch size: 180, lr: 5.03e-04
+2022-09-17 18:19:46,133 INFO [train.py:885] (1/2) Epoch 9, batch 5750, loss[loss=0.3765, simple_loss=0.4237, pruned_loss=0.1646, over 14347.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03777, over 262.00 utterances.], tot_loss[loss=0.3151, simple_loss=0.3743, pruned_loss=0.1279, over 2779904.02 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07129, over 45428.67 utterances.], batch size: 262, lr: 5.03e-04
+2022-09-17 18:20:15,506 INFO [train.py:885] (1/2) Epoch 9, batch 5800, loss[loss=0.4201, simple_loss=0.4848, pruned_loss=0.1777, over 13620.00 frames. utt_duration=98.55 frames, utt_pad_proportion=0.07896, over 560.00 utterances.], tot_loss[loss=0.3178, simple_loss=0.3766, pruned_loss=0.1295, over 2780298.09 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07117, over 46340.97 utterances.], batch size: 560, lr: 5.03e-04
+2022-09-17 18:20:44,637 INFO [train.py:885] (1/2) Epoch 9, batch 5850, loss[loss=0.3165, simple_loss=0.398, pruned_loss=0.1175, over 13996.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.0567, over 365.00 utterances.], tot_loss[loss=0.316, simple_loss=0.3753, pruned_loss=0.1284, over 2776878.03 frames. utt_duration=240.5 frames, utt_pad_proportion=0.0735, over 46469.16 utterances.], batch size: 365, lr: 5.03e-04
+2022-09-17 18:21:14,149 INFO [train.py:885] (1/2) Epoch 9, batch 5900, loss[loss=0.23, simple_loss=0.2898, pruned_loss=0.08509, over 13826.00 frames. utt_duration=1318 frames, utt_pad_proportion=0.07681, over 42.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3747, pruned_loss=0.128, over 2774030.86 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07412, over 46649.46 utterances.], batch size: 42, lr: 5.02e-04
+2022-09-17 18:21:43,563 INFO [train.py:885] (1/2) Epoch 9, batch 5950, loss[loss=0.2397, simple_loss=0.2988, pruned_loss=0.09029, over 13905.00 frames. utt_duration=928.4 frames, utt_pad_proportion=0.0669, over 60.00 utterances.], tot_loss[loss=0.3167, simple_loss=0.3759, pruned_loss=0.1288, over 2774462.03 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07528, over 47566.92 utterances.], batch size: 60, lr: 5.02e-04
+2022-09-17 18:22:13,078 INFO [train.py:885] (1/2) Epoch 9, batch 6000, loss[loss=0.2186, simple_loss=0.2787, pruned_loss=0.07921, over 13728.00 frames. utt_duration=916.8 frames, utt_pad_proportion=0.07577, over 60.00 utterances.], tot_loss[loss=0.3133, simple_loss=0.3722, pruned_loss=0.1272, over 2778434.48 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07258, over 46175.63 utterances.], batch size: 60, lr: 5.02e-04
+2022-09-17 18:22:13,079 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 18:22:17,565 INFO [train.py:914] (1/2) Epoch 9, validation: loss=0.2051, simple_loss=0.2806, pruned_loss=0.06473, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 18:22:47,192 INFO [train.py:885] (1/2) Epoch 9, batch 6050, loss[loss=0.4712, simple_loss=0.4788, pruned_loss=0.2318, over 14240.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04272, over 335.00 utterances.], tot_loss[loss=0.3162, simple_loss=0.3741, pruned_loss=0.1292, over 2780241.74 frames. utt_duration=242 frames, utt_pad_proportion=0.07183, over 46240.33 utterances.], batch size: 335, lr: 5.02e-04
+2022-09-17 18:23:16,929 INFO [train.py:885] (1/2) Epoch 9, batch 6100, loss[loss=0.2004, simple_loss=0.2476, pruned_loss=0.07657, over 12947.00 frames. utt_duration=2073 frames, utt_pad_proportion=0.1311, over 25.00 utterances.], tot_loss[loss=0.3189, simple_loss=0.3762, pruned_loss=0.1308, over 2778113.98 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07229, over 46953.71 utterances.], batch size: 25, lr: 5.02e-04
+2022-09-17 18:23:47,024 INFO [train.py:885] (1/2) Epoch 9, batch 6150, loss[loss=0.2069, simple_loss=0.237, pruned_loss=0.08839, over 13072.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1233, over 33.00 utterances.], tot_loss[loss=0.3172, simple_loss=0.3742, pruned_loss=0.1302, over 2783504.04 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06849, over 45321.26 utterances.], batch size: 33, lr: 5.02e-04
+2022-09-17 18:24:16,358 INFO [train.py:885] (1/2) Epoch 9, batch 6200, loss[loss=0.2352, simple_loss=0.2991, pruned_loss=0.08568, over 13640.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.07701, over 50.00 utterances.], tot_loss[loss=0.3172, simple_loss=0.3741, pruned_loss=0.1302, over 2780609.29 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06913, over 45319.78 utterances.], batch size: 50, lr: 5.02e-04
+2022-09-17 18:24:46,109 INFO [train.py:885] (1/2) Epoch 9, batch 6250, loss[loss=0.7436, simple_loss=0.7467, pruned_loss=0.3702, over 12448.00 frames. utt_duration=63.11 frames, utt_pad_proportion=0.1471, over 810.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3738, pruned_loss=0.1302, over 2783467.83 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06973, over 44874.74 utterances.], batch size: 810, lr: 5.02e-04
+2022-09-17 18:25:15,378 INFO [train.py:885] (1/2) Epoch 9, batch 6300, loss[loss=0.2094, simple_loss=0.2691, pruned_loss=0.0749, over 14081.00 frames. utt_duration=714.3 frames, utt_pad_proportion=0.05514, over 79.00 utterances.], tot_loss[loss=0.3174, simple_loss=0.3741, pruned_loss=0.1303, over 2784279.57 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06954, over 45560.69 utterances.], batch size: 79, lr: 5.01e-04
+2022-09-17 18:25:45,315 INFO [train.py:885] (1/2) Epoch 9, batch 6350, loss[loss=0.4117, simple_loss=0.4509, pruned_loss=0.1862, over 14217.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04363, over 306.00 utterances.], tot_loss[loss=0.3156, simple_loss=0.3723, pruned_loss=0.1295, over 2785839.34 frames. utt_duration=249.7 frames, utt_pad_proportion=0.068, over 44892.90 utterances.], batch size: 306, lr: 5.01e-04
+2022-09-17 18:26:14,380 INFO [train.py:885] (1/2) Epoch 9, batch 6400, loss[loss=0.4324, simple_loss=0.5113, pruned_loss=0.1767, over 13187.00 frames. utt_duration=82.35 frames, utt_pad_proportion=0.1049, over 653.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3729, pruned_loss=0.129, over 2783722.06 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06973, over 45185.90 utterances.], batch size: 653, lr: 5.01e-04
+2022-09-17 18:26:44,053 INFO [train.py:885] (1/2) Epoch 9, batch 6450, loss[loss=0.6217, simple_loss=0.6718, pruned_loss=0.2858, over 12552.00 frames. utt_duration=63.48 frames, utt_pad_proportion=0.1422, over 811.00 utterances.], tot_loss[loss=0.314, simple_loss=0.3717, pruned_loss=0.1281, over 2785206.22 frames. utt_duration=252 frames, utt_pad_proportion=0.06805, over 44463.84 utterances.], batch size: 811, lr: 5.01e-04
+2022-09-17 18:27:13,937 INFO [train.py:885] (1/2) Epoch 9, batch 6500, loss[loss=0.263, simple_loss=0.3423, pruned_loss=0.09185, over 14266.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04029, over 130.00 utterances.], tot_loss[loss=0.3117, simple_loss=0.3695, pruned_loss=0.1269, over 2785886.50 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06853, over 43418.63 utterances.], batch size: 130, lr: 5.01e-04
+2022-09-17 18:27:42,894 INFO [train.py:885] (1/2) Epoch 9, batch 6550, loss[loss=0.3497, simple_loss=0.3993, pruned_loss=0.1501, over 14315.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03937, over 262.00 utterances.], tot_loss[loss=0.3177, simple_loss=0.3748, pruned_loss=0.1303, over 2788974.11 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06908, over 45006.57 utterances.], batch size: 262, lr: 5.01e-04
+2022-09-17 18:28:12,745 INFO [train.py:885] (1/2) Epoch 9, batch 6600, loss[loss=0.2973, simple_loss=0.3659, pruned_loss=0.1144, over 14346.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03438, over 244.00 utterances.], tot_loss[loss=0.3194, simple_loss=0.3773, pruned_loss=0.1307, over 2787639.48 frames. utt_duration=239 frames, utt_pad_proportion=0.07036, over 46950.91 utterances.], batch size: 244, lr: 5.01e-04
+2022-09-17 18:28:42,926 INFO [train.py:885] (1/2) Epoch 9, batch 6650, loss[loss=0.2669, simple_loss=0.3317, pruned_loss=0.101, over 14286.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.04307, over 141.00 utterances.], tot_loss[loss=0.3147, simple_loss=0.3728, pruned_loss=0.1282, over 2784944.20 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06947, over 45308.04 utterances.], batch size: 141, lr: 5.01e-04
+2022-09-17 18:29:12,143 INFO [train.py:885] (1/2) Epoch 9, batch 6700, loss[loss=0.184, simple_loss=0.2337, pruned_loss=0.06715, over 13279.00 frames. utt_duration=1611 frames, utt_pad_proportion=0.1085, over 33.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3744, pruned_loss=0.1294, over 2783080.39 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07057, over 45865.64 utterances.], batch size: 33, lr: 5.01e-04
+2022-09-17 18:29:41,659 INFO [train.py:885] (1/2) Epoch 9, batch 6750, loss[loss=0.4155, simple_loss=0.5, pruned_loss=0.1655, over 13162.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.106, over 653.00 utterances.], tot_loss[loss=0.3199, simple_loss=0.3779, pruned_loss=0.131, over 2776003.19 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07329, over 47638.65 utterances.], batch size: 653, lr: 5.00e-04
+2022-09-17 18:30:11,217 INFO [train.py:885] (1/2) Epoch 9, batch 6800, loss[loss=0.2156, simple_loss=0.2857, pruned_loss=0.07277, over 14156.00 frames. utt_duration=637.8 frames, utt_pad_proportion=0.05096, over 89.00 utterances.], tot_loss[loss=0.3183, simple_loss=0.3761, pruned_loss=0.1303, over 2778260.53 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07187, over 46562.44 utterances.], batch size: 89, lr: 5.00e-04
+2022-09-17 18:30:40,710 INFO [train.py:885] (1/2) Epoch 9, batch 6850, loss[loss=0.2674, simple_loss=0.3382, pruned_loss=0.0983, over 14354.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.03474, over 130.00 utterances.], tot_loss[loss=0.3215, simple_loss=0.3787, pruned_loss=0.1321, over 2779359.12 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07195, over 47290.34 utterances.], batch size: 130, lr: 5.00e-04
+2022-09-17 18:31:10,519 INFO [train.py:885] (1/2) Epoch 9, batch 6900, loss[loss=0.2948, simple_loss=0.364, pruned_loss=0.1128, over 14376.00 frames. utt_duration=345.9 frames, utt_pad_proportion=0.03658, over 167.00 utterances.], tot_loss[loss=0.3207, simple_loss=0.3781, pruned_loss=0.1316, over 2771436.49 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07453, over 47574.20 utterances.], batch size: 167, lr: 5.00e-04
+2022-09-17 18:31:39,806 INFO [train.py:885] (1/2) Epoch 9, batch 6950, loss[loss=0.3755, simple_loss=0.4178, pruned_loss=0.1666, over 14341.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.03652, over 226.00 utterances.], tot_loss[loss=0.3204, simple_loss=0.3779, pruned_loss=0.1314, over 2776263.99 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07253, over 46904.34 utterances.], batch size: 226, lr: 5.00e-04
+2022-09-17 18:32:09,076 INFO [train.py:885] (1/2) Epoch 9, batch 7000, loss[loss=0.3278, simple_loss=0.3823, pruned_loss=0.1366, over 14349.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03893, over 167.00 utterances.], tot_loss[loss=0.322, simple_loss=0.3789, pruned_loss=0.1325, over 2778318.97 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07321, over 46827.27 utterances.], batch size: 167, lr: 5.00e-04
+2022-09-17 18:32:39,250 INFO [train.py:885] (1/2) Epoch 9, batch 7050, loss[loss=0.1596, simple_loss=0.2142, pruned_loss=0.05248, over 13333.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.09087, over 41.00 utterances.], tot_loss[loss=0.3182, simple_loss=0.3756, pruned_loss=0.1304, over 2772216.11 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07398, over 46588.06 utterances.], batch size: 41, lr: 5.00e-04
+2022-09-17 18:33:08,372 INFO [train.py:885] (1/2) Epoch 9, batch 7100, loss[loss=0.4578, simple_loss=0.5297, pruned_loss=0.1929, over 13151.00 frames. utt_duration=82.08 frames, utt_pad_proportion=0.1078, over 653.00 utterances.], tot_loss[loss=0.3187, simple_loss=0.3773, pruned_loss=0.13, over 2773275.94 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07471, over 47667.62 utterances.], batch size: 653, lr: 5.00e-04
+2022-09-17 18:33:37,591 INFO [train.py:885] (1/2) Epoch 9, batch 7150, loss[loss=0.2112, simple_loss=0.2737, pruned_loss=0.07437, over 13883.00 frames. utt_duration=926.9 frames, utt_pad_proportion=0.06563, over 60.00 utterances.], tot_loss[loss=0.3199, simple_loss=0.3777, pruned_loss=0.1311, over 2776336.39 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07453, over 47029.94 utterances.], batch size: 60, lr: 4.99e-04
+2022-09-17 18:34:07,657 INFO [train.py:885] (1/2) Epoch 9, batch 7200, loss[loss=0.3891, simple_loss=0.4644, pruned_loss=0.1568, over 13667.00 frames. utt_duration=99.02 frames, utt_pad_proportion=0.07455, over 560.00 utterances.], tot_loss[loss=0.3219, simple_loss=0.38, pruned_loss=0.1319, over 2777224.73 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07387, over 48202.62 utterances.], batch size: 560, lr: 4.99e-04
+2022-09-17 18:34:37,158 INFO [train.py:885] (1/2) Epoch 9, batch 7250, loss[loss=0.3884, simple_loss=0.4305, pruned_loss=0.1732, over 14243.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04192, over 306.00 utterances.], tot_loss[loss=0.3195, simple_loss=0.3776, pruned_loss=0.1307, over 2778444.06 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07363, over 47674.82 utterances.], batch size: 306, lr: 4.99e-04
+2022-09-17 18:35:07,069 INFO [train.py:885] (1/2) Epoch 9, batch 7300, loss[loss=0.3669, simple_loss=0.4125, pruned_loss=0.1607, over 14300.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.0408, over 262.00 utterances.], tot_loss[loss=0.3209, simple_loss=0.3783, pruned_loss=0.1318, over 2780522.64 frames. utt_duration=236.9 frames, utt_pad_proportion=0.0712, over 47247.11 utterances.], batch size: 262, lr: 4.99e-04
+2022-09-17 18:35:36,247 INFO [train.py:885] (1/2) Epoch 9, batch 7350, loss[loss=0.1631, simple_loss=0.2028, pruned_loss=0.06176, over 12324.00 frames. utt_duration=2056 frames, utt_pad_proportion=0.1639, over 24.00 utterances.], tot_loss[loss=0.3194, simple_loss=0.3768, pruned_loss=0.131, over 2780205.98 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07016, over 46490.78 utterances.], batch size: 24, lr: 4.99e-04
+2022-09-17 18:36:05,624 INFO [train.py:885] (1/2) Epoch 9, batch 7400, loss[loss=0.386, simple_loss=0.4135, pruned_loss=0.1793, over 14287.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.04106, over 141.00 utterances.], tot_loss[loss=0.32, simple_loss=0.3775, pruned_loss=0.1312, over 2781555.29 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07042, over 46412.39 utterances.], batch size: 141, lr: 4.99e-04
+2022-09-17 18:36:35,627 INFO [train.py:885] (1/2) Epoch 9, batch 7450, loss[loss=0.3711, simple_loss=0.4162, pruned_loss=0.163, over 14266.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04063, over 180.00 utterances.], tot_loss[loss=0.3225, simple_loss=0.3803, pruned_loss=0.1324, over 2784769.94 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07063, over 47622.70 utterances.], batch size: 180, lr: 4.99e-04
+2022-09-17 18:37:05,165 INFO [train.py:885] (1/2) Epoch 9, batch 7500, loss[loss=0.5698, simple_loss=0.6363, pruned_loss=0.2517, over 12575.00 frames. utt_duration=63.68 frames, utt_pad_proportion=0.1394, over 810.00 utterances.], tot_loss[loss=0.3194, simple_loss=0.377, pruned_loss=0.1309, over 2778075.00 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07145, over 46335.12 utterances.], batch size: 810, lr: 4.99e-04
+2022-09-17 18:37:34,336 INFO [train.py:885] (1/2) Epoch 9, batch 7550, loss[loss=0.2494, simple_loss=0.3152, pruned_loss=0.09181, over 14040.00 frames. utt_duration=574.3 frames, utt_pad_proportion=0.05542, over 98.00 utterances.], tot_loss[loss=0.3129, simple_loss=0.3706, pruned_loss=0.1276, over 2781499.80 frames. utt_duration=256.1 frames, utt_pad_proportion=0.07074, over 43692.80 utterances.], batch size: 98, lr: 4.99e-04
+2022-09-17 18:38:03,750 INFO [train.py:885] (1/2) Epoch 9, batch 7600, loss[loss=0.3039, simple_loss=0.4013, pruned_loss=0.1032, over 13690.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07719, over 477.00 utterances.], tot_loss[loss=0.3106, simple_loss=0.3686, pruned_loss=0.1263, over 2786298.31 frames. utt_duration=260.9 frames, utt_pad_proportion=0.06811, over 42953.06 utterances.], batch size: 477, lr: 4.98e-04
+2022-09-17 18:38:32,885 INFO [train.py:885] (1/2) Epoch 9, batch 7650, loss[loss=0.6213, simple_loss=0.6645, pruned_loss=0.2891, over 12522.00 frames. utt_duration=63.42 frames, utt_pad_proportion=0.143, over 810.00 utterances.], tot_loss[loss=0.3127, simple_loss=0.3709, pruned_loss=0.1272, over 2786986.67 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07073, over 44357.07 utterances.], batch size: 810, lr: 4.98e-04
+2022-09-17 18:39:03,048 INFO [train.py:885] (1/2) Epoch 9, batch 7700, loss[loss=0.2074, simple_loss=0.2791, pruned_loss=0.06782, over 12607.00 frames. utt_duration=2018 frames, utt_pad_proportion=0.1525, over 25.00 utterances.], tot_loss[loss=0.3193, simple_loss=0.377, pruned_loss=0.1308, over 2783180.60 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07254, over 46502.46 utterances.], batch size: 25, lr: 4.98e-04
+2022-09-17 18:39:33,004 INFO [train.py:885] (1/2) Epoch 9, batch 7750, loss[loss=0.3601, simple_loss=0.4116, pruned_loss=0.1543, over 14261.00 frames. utt_duration=219.2 frames, utt_pad_proportion=0.043, over 262.00 utterances.], tot_loss[loss=0.3187, simple_loss=0.3763, pruned_loss=0.1306, over 2783464.59 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07211, over 46249.36 utterances.], batch size: 262, lr: 4.98e-04
+2022-09-17 18:40:02,464 INFO [train.py:885] (1/2) Epoch 9, batch 7800, loss[loss=0.3683, simple_loss=0.434, pruned_loss=0.1513, over 13972.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.0575, over 365.00 utterances.], tot_loss[loss=0.3165, simple_loss=0.3748, pruned_loss=0.1291, over 2776203.69 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07325, over 46492.57 utterances.], batch size: 365, lr: 4.98e-04
+2022-09-17 18:40:32,064 INFO [train.py:885] (1/2) Epoch 9, batch 7850, loss[loss=0.3411, simple_loss=0.4246, pruned_loss=0.1288, over 13786.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07116, over 411.00 utterances.], tot_loss[loss=0.3163, simple_loss=0.3746, pruned_loss=0.129, over 2774941.35 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07342, over 46828.61 utterances.], batch size: 411, lr: 4.98e-04
+2022-09-17 18:41:01,563 INFO [train.py:885] (1/2) Epoch 9, batch 7900, loss[loss=0.3008, simple_loss=0.3658, pruned_loss=0.1179, over 14394.00 frames. utt_duration=346.2 frames, utt_pad_proportion=0.03563, over 167.00 utterances.], tot_loss[loss=0.3131, simple_loss=0.3711, pruned_loss=0.1275, over 2774636.44 frames. utt_duration=246 frames, utt_pad_proportion=0.07352, over 45384.49 utterances.], batch size: 167, lr: 4.98e-04
+2022-09-17 18:41:30,540 INFO [train.py:885] (1/2) Epoch 9, batch 7950, loss[loss=0.5586, simple_loss=0.6238, pruned_loss=0.2467, over 12494.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1447, over 810.00 utterances.], tot_loss[loss=0.3193, simple_loss=0.3764, pruned_loss=0.131, over 2778062.98 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07197, over 46418.41 utterances.], batch size: 810, lr: 4.98e-04
+2022-09-17 18:41:59,619 INFO [train.py:885] (1/2) Epoch 9, batch 8000, loss[loss=0.3866, simple_loss=0.4179, pruned_loss=0.1777, over 14339.00 frames. utt_duration=319.9 frames, utt_pad_proportion=0.03635, over 180.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3741, pruned_loss=0.13, over 2779050.76 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07262, over 45376.67 utterances.], batch size: 180, lr: 4.98e-04
+2022-09-17 18:42:29,567 INFO [train.py:885] (1/2) Epoch 9, batch 8050, loss[loss=0.3214, simple_loss=0.4231, pruned_loss=0.1099, over 13654.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07961, over 477.00 utterances.], tot_loss[loss=0.3169, simple_loss=0.3743, pruned_loss=0.1297, over 2778371.53 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07231, over 45852.67 utterances.], batch size: 477, lr: 4.97e-04
+2022-09-17 18:42:58,739 INFO [train.py:885] (1/2) Epoch 9, batch 8100, loss[loss=0.3259, simple_loss=0.3931, pruned_loss=0.1293, over 14374.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.0346, over 210.00 utterances.], tot_loss[loss=0.3145, simple_loss=0.3722, pruned_loss=0.1284, over 2783525.15 frames. utt_duration=251 frames, utt_pad_proportion=0.06941, over 44613.64 utterances.], batch size: 210, lr: 4.97e-04
+2022-09-17 18:43:28,075 INFO [train.py:885] (1/2) Epoch 9, batch 8150, loss[loss=0.3145, simple_loss=0.3725, pruned_loss=0.1283, over 14365.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.0352, over 195.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3734, pruned_loss=0.1297, over 2791380.53 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06629, over 44054.77 utterances.], batch size: 195, lr: 4.97e-04
+2022-09-17 18:43:57,595 INFO [train.py:885] (1/2) Epoch 9, batch 8200, loss[loss=0.1696, simple_loss=0.2273, pruned_loss=0.056, over 13071.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1209, over 33.00 utterances.], tot_loss[loss=0.317, simple_loss=0.3747, pruned_loss=0.1296, over 2786957.72 frames. utt_duration=248 frames, utt_pad_proportion=0.06783, over 45216.96 utterances.], batch size: 33, lr: 4.97e-04
+2022-09-17 18:44:27,599 INFO [train.py:885] (1/2) Epoch 9, batch 8250, loss[loss=0.1664, simple_loss=0.2055, pruned_loss=0.06366, over 13708.00 frames. utt_duration=1098 frames, utt_pad_proportion=0.07642, over 50.00 utterances.], tot_loss[loss=0.3155, simple_loss=0.3729, pruned_loss=0.1291, over 2778030.87 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07244, over 45547.68 utterances.], batch size: 50, lr: 4.97e-04
+2022-09-17 18:44:56,795 INFO [train.py:885] (1/2) Epoch 9, batch 8300, loss[loss=0.5198, simple_loss=0.564, pruned_loss=0.2378, over 13109.00 frames. utt_duration=81.83 frames, utt_pad_proportion=0.1106, over 653.00 utterances.], tot_loss[loss=0.3198, simple_loss=0.3772, pruned_loss=0.1312, over 2784913.39 frames. utt_duration=241.1 frames, utt_pad_proportion=0.06933, over 46490.98 utterances.], batch size: 653, lr: 4.97e-04
+2022-09-17 18:45:26,484 INFO [train.py:885] (1/2) Epoch 9, batch 8350, loss[loss=0.223, simple_loss=0.2767, pruned_loss=0.08459, over 13710.00 frames. utt_duration=915.5 frames, utt_pad_proportion=0.07901, over 60.00 utterances.], tot_loss[loss=0.3228, simple_loss=0.3795, pruned_loss=0.1331, over 2780167.97 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07293, over 46700.45 utterances.], batch size: 60, lr: 4.97e-04
+2022-09-17 18:45:55,666 INFO [train.py:885] (1/2) Epoch 9, batch 8400, loss[loss=0.1711, simple_loss=0.2398, pruned_loss=0.05122, over 13693.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07813, over 50.00 utterances.], tot_loss[loss=0.3205, simple_loss=0.3772, pruned_loss=0.1319, over 2782218.86 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07021, over 45997.33 utterances.], batch size: 50, lr: 4.97e-04
+2022-09-17 18:46:25,588 INFO [train.py:885] (1/2) Epoch 9, batch 8450, loss[loss=0.6579, simple_loss=0.6792, pruned_loss=0.3183, over 12558.00 frames. utt_duration=63.52 frames, utt_pad_proportion=0.1417, over 810.00 utterances.], tot_loss[loss=0.321, simple_loss=0.3773, pruned_loss=0.1323, over 2783239.72 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07246, over 45550.04 utterances.], batch size: 810, lr: 4.97e-04
+2022-09-17 18:46:54,733 INFO [train.py:885] (1/2) Epoch 9, batch 8500, loss[loss=0.3338, simple_loss=0.3985, pruned_loss=0.1345, over 14371.00 frames. utt_duration=237 frames, utt_pad_proportion=0.0325, over 244.00 utterances.], tot_loss[loss=0.3204, simple_loss=0.3778, pruned_loss=0.1315, over 2779541.32 frames. utt_duration=238 frames, utt_pad_proportion=0.07478, over 47011.44 utterances.], batch size: 244, lr: 4.96e-04
+2022-09-17 18:47:23,755 INFO [train.py:885] (1/2) Epoch 9, batch 8550, loss[loss=0.2172, simple_loss=0.2765, pruned_loss=0.0789, over 14073.00 frames. utt_duration=713.7 frames, utt_pad_proportion=0.05591, over 79.00 utterances.], tot_loss[loss=0.316, simple_loss=0.3733, pruned_loss=0.1293, over 2780883.69 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07112, over 44668.75 utterances.], batch size: 79, lr: 4.96e-04
+2022-09-17 18:47:53,649 INFO [train.py:885] (1/2) Epoch 9, batch 8600, loss[loss=0.3939, simple_loss=0.464, pruned_loss=0.1619, over 13663.00 frames. utt_duration=116 frames, utt_pad_proportion=0.0794, over 477.00 utterances.], tot_loss[loss=0.3197, simple_loss=0.3776, pruned_loss=0.1309, over 2780726.75 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07313, over 46603.41 utterances.], batch size: 477, lr: 4.96e-04
+2022-09-17 18:48:23,376 INFO [train.py:885] (1/2) Epoch 9, batch 8650, loss[loss=0.3443, simple_loss=0.4358, pruned_loss=0.1264, over 13587.00 frames. utt_duration=98.46 frames, utt_pad_proportion=0.07986, over 560.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3744, pruned_loss=0.1291, over 2777285.06 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07232, over 45898.59 utterances.], batch size: 560, lr: 4.96e-04
+2022-09-17 18:48:52,594 INFO [train.py:885] (1/2) Epoch 9, batch 8700, loss[loss=0.2637, simple_loss=0.339, pruned_loss=0.0942, over 14131.00 frames. utt_duration=520.1 frames, utt_pad_proportion=0.04748, over 109.00 utterances.], tot_loss[loss=0.3176, simple_loss=0.375, pruned_loss=0.1301, over 2780030.43 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07208, over 45139.60 utterances.], batch size: 109, lr: 4.96e-04
+2022-09-17 18:49:21,967 INFO [train.py:885] (1/2) Epoch 9, batch 8750, loss[loss=0.2442, simple_loss=0.3045, pruned_loss=0.09199, over 14037.00 frames. utt_duration=574.4 frames, utt_pad_proportion=0.05838, over 98.00 utterances.], tot_loss[loss=0.3141, simple_loss=0.3719, pruned_loss=0.1282, over 2777627.31 frames. utt_duration=252.3 frames, utt_pad_proportion=0.071, over 44297.14 utterances.], batch size: 98, lr: 4.96e-04
+2022-09-17 18:49:51,328 INFO [train.py:885] (1/2) Epoch 9, batch 8800, loss[loss=0.518, simple_loss=0.5671, pruned_loss=0.2344, over 13176.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.106, over 653.00 utterances.], tot_loss[loss=0.3131, simple_loss=0.3701, pruned_loss=0.1281, over 2778656.90 frames. utt_duration=255.6 frames, utt_pad_proportion=0.0705, over 43744.31 utterances.], batch size: 653, lr: 4.96e-04
+2022-09-17 18:50:20,899 INFO [train.py:885] (1/2) Epoch 9, batch 8850, loss[loss=0.3189, simple_loss=0.3596, pruned_loss=0.1391, over 14311.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.0397, over 130.00 utterances.], tot_loss[loss=0.3139, simple_loss=0.3717, pruned_loss=0.128, over 2776671.84 frames. utt_duration=248.5 frames, utt_pad_proportion=0.072, over 44963.44 utterances.], batch size: 130, lr: 4.96e-04
+2022-09-17 18:50:50,559 INFO [train.py:885] (1/2) Epoch 9, batch 8900, loss[loss=0.3893, simple_loss=0.4277, pruned_loss=0.1755, over 14240.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04314, over 335.00 utterances.], tot_loss[loss=0.3123, simple_loss=0.3702, pruned_loss=0.1272, over 2780785.85 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07008, over 44306.18 utterances.], batch size: 335, lr: 4.95e-04
+2022-09-17 18:51:19,963 INFO [train.py:885] (1/2) Epoch 9, batch 8950, loss[loss=0.2101, simple_loss=0.2718, pruned_loss=0.07419, over 13874.00 frames. utt_duration=926.3 frames, utt_pad_proportion=0.07, over 60.00 utterances.], tot_loss[loss=0.3139, simple_loss=0.3716, pruned_loss=0.1281, over 2783946.62 frames. utt_duration=254 frames, utt_pad_proportion=0.06928, over 44102.06 utterances.], batch size: 60, lr: 4.95e-04
+2022-09-17 18:51:49,553 INFO [train.py:885] (1/2) Epoch 9, batch 9000, loss[loss=0.2767, simple_loss=0.3432, pruned_loss=0.1051, over 14327.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03827, over 120.00 utterances.], tot_loss[loss=0.3168, simple_loss=0.375, pruned_loss=0.1292, over 2784754.82 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06986, over 45774.53 utterances.], batch size: 120, lr: 4.95e-04
+2022-09-17 18:51:49,554 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 18:51:53,677 INFO [train.py:914] (1/2) Epoch 9, validation: loss=0.212, simple_loss=0.289, pruned_loss=0.06748, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 18:52:23,270 INFO [train.py:885] (1/2) Epoch 9, batch 9050, loss[loss=0.181, simple_loss=0.2348, pruned_loss=0.06363, over 13781.00 frames. utt_duration=1314 frames, utt_pad_proportion=0.0792, over 42.00 utterances.], tot_loss[loss=0.3145, simple_loss=0.3736, pruned_loss=0.1278, over 2784573.63 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07065, over 45423.18 utterances.], batch size: 42, lr: 4.95e-04
+2022-09-17 18:52:52,655 INFO [train.py:885] (1/2) Epoch 9, batch 9100, loss[loss=0.3809, simple_loss=0.4243, pruned_loss=0.1687, over 14280.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03948, over 225.00 utterances.], tot_loss[loss=0.3132, simple_loss=0.3714, pruned_loss=0.1275, over 2786367.70 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06842, over 43719.71 utterances.], batch size: 225, lr: 4.95e-04
+2022-09-17 18:53:22,579 INFO [train.py:885] (1/2) Epoch 9, batch 9150, loss[loss=0.197, simple_loss=0.2613, pruned_loss=0.0663, over 13596.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.08895, over 42.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3739, pruned_loss=0.1284, over 2785824.50 frames. utt_duration=249.8 frames, utt_pad_proportion=0.0693, over 44882.90 utterances.], batch size: 42, lr: 4.95e-04
+2022-09-17 18:53:51,552 INFO [train.py:885] (1/2) Epoch 9, batch 9200, loss[loss=0.235, simple_loss=0.3044, pruned_loss=0.08278, over 13980.00 frames. utt_duration=709.3 frames, utt_pad_proportion=0.05676, over 79.00 utterances.], tot_loss[loss=0.311, simple_loss=0.3699, pruned_loss=0.1261, over 2789571.97 frames. utt_duration=259.9 frames, utt_pad_proportion=0.06728, over 43177.32 utterances.], batch size: 79, lr: 4.95e-04
+2022-09-17 18:54:21,582 INFO [train.py:885] (1/2) Epoch 9, batch 9250, loss[loss=0.2328, simple_loss=0.305, pruned_loss=0.0803, over 14058.00 frames. utt_duration=713.1 frames, utt_pad_proportion=0.05546, over 79.00 utterances.], tot_loss[loss=0.3097, simple_loss=0.3679, pruned_loss=0.1257, over 2785279.10 frames. utt_duration=267.3 frames, utt_pad_proportion=0.0655, over 41912.17 utterances.], batch size: 79, lr: 4.95e-04
+2022-09-17 18:54:51,569 INFO [train.py:885] (1/2) Epoch 9, batch 9300, loss[loss=0.5101, simple_loss=0.5504, pruned_loss=0.2349, over 13194.00 frames. utt_duration=82.34 frames, utt_pad_proportion=0.1051, over 653.00 utterances.], tot_loss[loss=0.311, simple_loss=0.3687, pruned_loss=0.1266, over 2782337.30 frames. utt_duration=261 frames, utt_pad_proportion=0.06787, over 42880.61 utterances.], batch size: 653, lr: 4.95e-04
+2022-09-17 18:55:21,468 INFO [train.py:885] (1/2) Epoch 9, batch 9350, loss[loss=0.2524, simple_loss=0.3159, pruned_loss=0.0944, over 14195.00 frames. utt_duration=522.4 frames, utt_pad_proportion=0.04317, over 109.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.372, pruned_loss=0.1294, over 2776671.42 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07124, over 44179.35 utterances.], batch size: 109, lr: 4.94e-04
+2022-09-17 18:55:50,579 INFO [train.py:885] (1/2) Epoch 9, batch 9400, loss[loss=0.4444, simple_loss=0.5161, pruned_loss=0.1864, over 13151.00 frames. utt_duration=82.05 frames, utt_pad_proportion=0.1082, over 653.00 utterances.], tot_loss[loss=0.3155, simple_loss=0.3731, pruned_loss=0.1289, over 2777134.80 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07159, over 45007.33 utterances.], batch size: 653, lr: 4.94e-04
+2022-09-17 18:56:20,332 INFO [train.py:885] (1/2) Epoch 9, batch 9450, loss[loss=0.2947, simple_loss=0.3448, pruned_loss=0.1223, over 14293.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04043, over 120.00 utterances.], tot_loss[loss=0.3117, simple_loss=0.3695, pruned_loss=0.1269, over 2774520.99 frames. utt_duration=257.1 frames, utt_pad_proportion=0.07073, over 43409.09 utterances.], batch size: 120, lr: 4.94e-04
+2022-09-17 18:56:49,755 INFO [train.py:885] (1/2) Epoch 9, batch 9500, loss[loss=0.5963, simple_loss=0.6546, pruned_loss=0.269, over 12389.00 frames. utt_duration=62.7 frames, utt_pad_proportion=0.1526, over 811.00 utterances.], tot_loss[loss=0.313, simple_loss=0.3716, pruned_loss=0.1272, over 2772389.64 frames. utt_duration=247.6 frames, utt_pad_proportion=0.0733, over 45051.84 utterances.], batch size: 811, lr: 4.94e-04
+2022-09-17 18:57:19,740 INFO [train.py:885] (1/2) Epoch 9, batch 9550, loss[loss=0.4798, simple_loss=0.5204, pruned_loss=0.2196, over 13670.00 frames. utt_duration=99.04 frames, utt_pad_proportion=0.07435, over 560.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3708, pruned_loss=0.1275, over 2773969.42 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07166, over 44431.19 utterances.], batch size: 560, lr: 4.94e-04
+2022-09-17 18:57:49,042 INFO [train.py:885] (1/2) Epoch 9, batch 9600, loss[loss=0.3665, simple_loss=0.4165, pruned_loss=0.1583, over 14214.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04333, over 306.00 utterances.], tot_loss[loss=0.3147, simple_loss=0.3727, pruned_loss=0.1284, over 2777037.13 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07022, over 45229.21 utterances.], batch size: 306, lr: 4.94e-04
+2022-09-17 18:58:18,795 INFO [train.py:885] (1/2) Epoch 9, batch 9650, loss[loss=0.5481, simple_loss=0.5871, pruned_loss=0.2546, over 13126.00 frames. utt_duration=81.96 frames, utt_pad_proportion=0.1091, over 653.00 utterances.], tot_loss[loss=0.3177, simple_loss=0.3755, pruned_loss=0.13, over 2777338.41 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07135, over 46337.32 utterances.], batch size: 653, lr: 4.94e-04
+2022-09-17 18:58:48,977 INFO [train.py:885] (1/2) Epoch 9, batch 9700, loss[loss=0.2856, simple_loss=0.35, pruned_loss=0.1106, over 14255.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04494, over 141.00 utterances.], tot_loss[loss=0.3145, simple_loss=0.3734, pruned_loss=0.1278, over 2777069.30 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07066, over 46398.17 utterances.], batch size: 141, lr: 4.94e-04
+2022-09-17 18:59:17,539 INFO [train.py:885] (1/2) Epoch 9, batch 9750, loss[loss=0.2036, simple_loss=0.2733, pruned_loss=0.06692, over 13292.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.09371, over 41.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.3704, pruned_loss=0.1267, over 2778787.43 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06946, over 44707.52 utterances.], batch size: 41, lr: 4.94e-04
+2022-09-17 18:59:47,756 INFO [train.py:885] (1/2) Epoch 9, batch 9800, loss[loss=0.3514, simple_loss=0.3928, pruned_loss=0.155, over 14288.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.03945, over 154.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3754, pruned_loss=0.1296, over 2771074.41 frames. utt_duration=236 frames, utt_pad_proportion=0.07401, over 47261.18 utterances.], batch size: 154, lr: 4.93e-04
+2022-09-17 19:00:17,305 INFO [train.py:885] (1/2) Epoch 9, batch 9850, loss[loss=0.3396, simple_loss=0.4006, pruned_loss=0.1393, over 14297.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03955, over 283.00 utterances.], tot_loss[loss=0.315, simple_loss=0.3737, pruned_loss=0.1282, over 2769435.79 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07424, over 46825.71 utterances.], batch size: 283, lr: 4.93e-04
+2022-09-17 19:00:47,124 INFO [train.py:885] (1/2) Epoch 9, batch 9900, loss[loss=0.2397, simple_loss=0.3035, pruned_loss=0.0879, over 14168.00 frames. utt_duration=638.4 frames, utt_pad_proportion=0.04859, over 89.00 utterances.], tot_loss[loss=0.3183, simple_loss=0.3757, pruned_loss=0.1305, over 2776183.82 frames. utt_duration=240.7 frames, utt_pad_proportion=0.073, over 46425.60 utterances.], batch size: 89, lr: 4.93e-04
+2022-09-17 19:01:16,946 INFO [train.py:885] (1/2) Epoch 9, batch 9950, loss[loss=0.1833, simple_loss=0.2432, pruned_loss=0.06176, over 13232.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.1111, over 33.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3731, pruned_loss=0.1282, over 2771367.06 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07457, over 46527.27 utterances.], batch size: 33, lr: 4.93e-04
+2022-09-17 19:01:45,848 INFO [train.py:885] (1/2) Epoch 9, batch 10000, loss[loss=0.3804, simple_loss=0.4627, pruned_loss=0.1491, over 13646.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08018, over 477.00 utterances.], tot_loss[loss=0.3178, simple_loss=0.3761, pruned_loss=0.1298, over 2774472.56 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07369, over 46789.35 utterances.], batch size: 477, lr: 4.93e-04
+2022-09-17 19:02:15,853 INFO [train.py:885] (1/2) Epoch 9, batch 10050, loss[loss=0.343, simple_loss=0.3968, pruned_loss=0.1446, over 14349.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.033, over 244.00 utterances.], tot_loss[loss=0.3185, simple_loss=0.3767, pruned_loss=0.1301, over 2776837.55 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07371, over 46399.05 utterances.], batch size: 244, lr: 4.93e-04
+2022-09-17 19:02:44,914 INFO [train.py:885] (1/2) Epoch 9, batch 10100, loss[loss=0.232, simple_loss=0.2916, pruned_loss=0.08623, over 13975.00 frames. utt_duration=708.9 frames, utt_pad_proportion=0.06234, over 79.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3749, pruned_loss=0.1292, over 2776101.89 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07173, over 45807.88 utterances.], batch size: 79, lr: 4.93e-04
+2022-09-17 19:03:14,922 INFO [train.py:885] (1/2) Epoch 9, batch 10150, loss[loss=0.403, simple_loss=0.4769, pruned_loss=0.1645, over 13616.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07795, over 560.00 utterances.], tot_loss[loss=0.3158, simple_loss=0.3745, pruned_loss=0.1286, over 2776992.40 frames. utt_duration=242.4 frames, utt_pad_proportion=0.0722, over 46107.85 utterances.], batch size: 560, lr: 4.93e-04
+2022-09-17 19:03:44,267 INFO [train.py:885] (1/2) Epoch 9, batch 10200, loss[loss=0.3919, simple_loss=0.478, pruned_loss=0.1529, over 13172.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1066, over 653.00 utterances.], tot_loss[loss=0.3189, simple_loss=0.3767, pruned_loss=0.1306, over 2770810.01 frames. utt_duration=239 frames, utt_pad_proportion=0.07287, over 46657.50 utterances.], batch size: 653, lr: 4.93e-04
+2022-09-17 19:04:13,842 INFO [train.py:885] (1/2) Epoch 9, batch 10250, loss[loss=0.32, simple_loss=0.3788, pruned_loss=0.1306, over 14306.00 frames. utt_duration=295 frames, utt_pad_proportion=0.039, over 195.00 utterances.], tot_loss[loss=0.3168, simple_loss=0.3752, pruned_loss=0.1292, over 2774164.01 frames. utt_duration=245 frames, utt_pad_proportion=0.07254, over 45564.41 utterances.], batch size: 195, lr: 4.92e-04
+2022-09-17 19:04:43,027 INFO [train.py:885] (1/2) Epoch 9, batch 10300, loss[loss=0.3632, simple_loss=0.4528, pruned_loss=0.1368, over 13602.00 frames. utt_duration=98.58 frames, utt_pad_proportion=0.0787, over 560.00 utterances.], tot_loss[loss=0.315, simple_loss=0.3744, pruned_loss=0.1278, over 2775302.39 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07133, over 45787.44 utterances.], batch size: 560, lr: 4.92e-04
+2022-09-17 19:05:13,080 INFO [train.py:885] (1/2) Epoch 9, batch 10350, loss[loss=0.3782, simple_loss=0.4236, pruned_loss=0.1664, over 14317.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03897, over 283.00 utterances.], tot_loss[loss=0.3142, simple_loss=0.3732, pruned_loss=0.1276, over 2776177.99 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07266, over 45534.42 utterances.], batch size: 283, lr: 4.92e-04
+2022-09-17 19:05:42,524 INFO [train.py:885] (1/2) Epoch 9, batch 10400, loss[loss=0.3577, simple_loss=0.4061, pruned_loss=0.1547, over 14279.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.0435, over 141.00 utterances.], tot_loss[loss=0.3178, simple_loss=0.3765, pruned_loss=0.1295, over 2776934.45 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07364, over 46776.16 utterances.], batch size: 141, lr: 4.92e-04
+2022-09-17 19:06:12,242 INFO [train.py:885] (1/2) Epoch 9, batch 10450, loss[loss=0.3489, simple_loss=0.3989, pruned_loss=0.1494, over 14367.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.038, over 167.00 utterances.], tot_loss[loss=0.3122, simple_loss=0.3715, pruned_loss=0.1265, over 2776379.76 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07244, over 45325.31 utterances.], batch size: 167, lr: 4.92e-04
+2022-09-17 19:06:41,314 INFO [train.py:885] (1/2) Epoch 9, batch 10500, loss[loss=0.2674, simple_loss=0.3184, pruned_loss=0.1082, over 13837.00 frames. utt_duration=923.9 frames, utt_pad_proportion=0.06862, over 60.00 utterances.], tot_loss[loss=0.3104, simple_loss=0.3691, pruned_loss=0.1259, over 2778246.45 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07149, over 44016.72 utterances.], batch size: 60, lr: 4.92e-04
+2022-09-17 19:07:10,740 INFO [train.py:885] (1/2) Epoch 9, batch 10550, loss[loss=0.5655, simple_loss=0.63, pruned_loss=0.2505, over 12513.00 frames. utt_duration=63.3 frames, utt_pad_proportion=0.1446, over 810.00 utterances.], tot_loss[loss=0.3123, simple_loss=0.3714, pruned_loss=0.1266, over 2780189.11 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07004, over 45089.22 utterances.], batch size: 810, lr: 4.92e-04
+2022-09-17 19:07:40,331 INFO [train.py:885] (1/2) Epoch 9, batch 10600, loss[loss=0.2876, simple_loss=0.3552, pruned_loss=0.11, over 14266.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04108, over 180.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3722, pruned_loss=0.1267, over 2775356.78 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07253, over 45992.83 utterances.], batch size: 180, lr: 4.92e-04
+2022-09-17 19:08:09,635 INFO [train.py:885] (1/2) Epoch 9, batch 10650, loss[loss=0.1917, simple_loss=0.244, pruned_loss=0.06971, over 13427.00 frames. utt_duration=1280 frames, utt_pad_proportion=0.1015, over 42.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3691, pruned_loss=0.125, over 2781359.77 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06964, over 44331.91 utterances.], batch size: 42, lr: 4.92e-04
+2022-09-17 19:08:39,313 INFO [train.py:885] (1/2) Epoch 9, batch 10700, loss[loss=0.2965, simple_loss=0.3542, pruned_loss=0.1194, over 14143.00 frames. utt_duration=637.1 frames, utt_pad_proportion=0.04905, over 89.00 utterances.], tot_loss[loss=0.3159, simple_loss=0.3748, pruned_loss=0.1285, over 2780821.69 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07047, over 45724.15 utterances.], batch size: 89, lr: 4.91e-04
+2022-09-17 19:09:08,734 INFO [train.py:885] (1/2) Epoch 9, batch 10750, loss[loss=0.6756, simple_loss=0.6967, pruned_loss=0.3273, over 12507.00 frames. utt_duration=62.98 frames, utt_pad_proportion=0.1489, over 814.00 utterances.], tot_loss[loss=0.3133, simple_loss=0.3724, pruned_loss=0.1271, over 2776608.32 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07341, over 45301.07 utterances.], batch size: 814, lr: 4.91e-04
+2022-09-17 19:09:38,261 INFO [train.py:885] (1/2) Epoch 9, batch 10800, loss[loss=0.2813, simple_loss=0.3354, pruned_loss=0.1136, over 14269.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04456, over 141.00 utterances.], tot_loss[loss=0.3094, simple_loss=0.3684, pruned_loss=0.1252, over 2780578.11 frames. utt_duration=257.4 frames, utt_pad_proportion=0.07097, over 43457.04 utterances.], batch size: 141, lr: 4.91e-04
+2022-09-17 19:10:07,673 INFO [train.py:885] (1/2) Epoch 9, batch 10850, loss[loss=0.2054, simple_loss=0.2708, pruned_loss=0.07005, over 14020.00 frames. utt_duration=802.6 frames, utt_pad_proportion=0.06024, over 70.00 utterances.], tot_loss[loss=0.3153, simple_loss=0.3737, pruned_loss=0.1285, over 2777225.22 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07221, over 45467.88 utterances.], batch size: 70, lr: 4.91e-04
+2022-09-17 19:10:37,403 INFO [train.py:885] (1/2) Epoch 9, batch 10900, loss[loss=0.5519, simple_loss=0.6183, pruned_loss=0.2428, over 12542.00 frames. utt_duration=63.53 frames, utt_pad_proportion=0.1414, over 810.00 utterances.], tot_loss[loss=0.32, simple_loss=0.3787, pruned_loss=0.1306, over 2777085.52 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07415, over 47872.39 utterances.], batch size: 810, lr: 4.91e-04
+2022-09-17 19:11:07,058 INFO [train.py:885] (1/2) Epoch 9, batch 10950, loss[loss=0.1693, simple_loss=0.2137, pruned_loss=0.06242, over 12398.00 frames. utt_duration=2067 frames, utt_pad_proportion=0.153, over 24.00 utterances.], tot_loss[loss=0.3179, simple_loss=0.3755, pruned_loss=0.1301, over 2774290.84 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07348, over 45990.71 utterances.], batch size: 24, lr: 4.91e-04
+2022-09-17 19:11:36,324 INFO [train.py:885] (1/2) Epoch 9, batch 11000, loss[loss=0.2228, simple_loss=0.2892, pruned_loss=0.07819, over 13970.00 frames. utt_duration=708.9 frames, utt_pad_proportion=0.06232, over 79.00 utterances.], tot_loss[loss=0.3183, simple_loss=0.3762, pruned_loss=0.1303, over 2772570.86 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07408, over 46451.22 utterances.], batch size: 79, lr: 4.91e-04
+2022-09-17 19:12:06,412 INFO [train.py:885] (1/2) Epoch 9, batch 11050, loss[loss=0.3436, simple_loss=0.3978, pruned_loss=0.1446, over 14313.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03862, over 283.00 utterances.], tot_loss[loss=0.317, simple_loss=0.3752, pruned_loss=0.1294, over 2772547.46 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0744, over 46561.04 utterances.], batch size: 283, lr: 4.91e-04
+2022-09-17 19:12:35,551 INFO [train.py:885] (1/2) Epoch 9, batch 11100, loss[loss=0.3833, simple_loss=0.4688, pruned_loss=0.1489, over 13627.00 frames. utt_duration=98.69 frames, utt_pad_proportion=0.0777, over 560.00 utterances.], tot_loss[loss=0.3163, simple_loss=0.3743, pruned_loss=0.1292, over 2772291.42 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07428, over 46339.29 utterances.], batch size: 560, lr: 4.91e-04
+2022-09-17 19:13:05,667 INFO [train.py:885] (1/2) Epoch 9, batch 11150, loss[loss=0.2398, simple_loss=0.3094, pruned_loss=0.08506, over 14147.00 frames. utt_duration=637.3 frames, utt_pad_proportion=0.04887, over 89.00 utterances.], tot_loss[loss=0.3177, simple_loss=0.3754, pruned_loss=0.13, over 2769442.79 frames. utt_duration=238 frames, utt_pad_proportion=0.07695, over 46833.21 utterances.], batch size: 89, lr: 4.91e-04
+2022-09-17 19:13:35,468 INFO [train.py:885] (1/2) Epoch 9, batch 11200, loss[loss=0.2526, simple_loss=0.3267, pruned_loss=0.08931, over 14281.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04365, over 141.00 utterances.], tot_loss[loss=0.3103, simple_loss=0.3686, pruned_loss=0.126, over 2771253.82 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07406, over 44594.56 utterances.], batch size: 141, lr: 4.90e-04
+2022-09-17 19:14:05,347 INFO [train.py:885] (1/2) Epoch 9, batch 11250, loss[loss=0.2148, simple_loss=0.2938, pruned_loss=0.0679, over 13440.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.08596, over 50.00 utterances.], tot_loss[loss=0.316, simple_loss=0.3742, pruned_loss=0.1289, over 2773975.40 frames. utt_duration=241 frames, utt_pad_proportion=0.07429, over 46325.58 utterances.], batch size: 50, lr: 4.90e-04
+2022-09-17 19:14:34,974 INFO [train.py:885] (1/2) Epoch 9, batch 11300, loss[loss=0.2194, simple_loss=0.2946, pruned_loss=0.07212, over 14109.00 frames. utt_duration=577.3 frames, utt_pad_proportion=0.05365, over 98.00 utterances.], tot_loss[loss=0.3142, simple_loss=0.3729, pruned_loss=0.1277, over 2777114.44 frames. utt_duration=243.7 frames, utt_pad_proportion=0.073, over 45861.56 utterances.], batch size: 98, lr: 4.90e-04
+2022-09-17 19:15:04,855 INFO [train.py:885] (1/2) Epoch 9, batch 11350, loss[loss=0.3569, simple_loss=0.4311, pruned_loss=0.1413, over 13655.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07978, over 477.00 utterances.], tot_loss[loss=0.3179, simple_loss=0.3769, pruned_loss=0.1295, over 2777717.39 frames. utt_duration=234.6 frames, utt_pad_proportion=0.0738, over 47663.88 utterances.], batch size: 477, lr: 4.90e-04
+2022-09-17 19:15:33,840 INFO [train.py:885] (1/2) Epoch 9, batch 11400, loss[loss=0.362, simple_loss=0.4139, pruned_loss=0.1551, over 14309.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03968, over 262.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3744, pruned_loss=0.1282, over 2777331.72 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07198, over 46791.27 utterances.], batch size: 262, lr: 4.90e-04
+2022-09-17 19:16:03,436 INFO [train.py:885] (1/2) Epoch 9, batch 11450, loss[loss=0.225, simple_loss=0.287, pruned_loss=0.0815, over 14046.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.0573, over 79.00 utterances.], tot_loss[loss=0.3191, simple_loss=0.377, pruned_loss=0.1306, over 2774344.67 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07261, over 47103.68 utterances.], batch size: 79, lr: 4.90e-04
+2022-09-17 19:16:32,459 INFO [train.py:885] (1/2) Epoch 9, batch 11500, loss[loss=0.2052, simple_loss=0.2628, pruned_loss=0.07384, over 13917.00 frames. utt_duration=796.7 frames, utt_pad_proportion=0.0682, over 70.00 utterances.], tot_loss[loss=0.3162, simple_loss=0.3736, pruned_loss=0.1294, over 2777661.04 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07063, over 45395.26 utterances.], batch size: 70, lr: 4.90e-04
+2022-09-17 19:17:02,317 INFO [train.py:885] (1/2) Epoch 9, batch 11550, loss[loss=0.2879, simple_loss=0.3578, pruned_loss=0.109, over 14309.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03748, over 180.00 utterances.], tot_loss[loss=0.3204, simple_loss=0.3781, pruned_loss=0.1313, over 2778509.58 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07214, over 47330.95 utterances.], batch size: 180, lr: 4.90e-04
+2022-09-17 19:17:31,494 INFO [train.py:885] (1/2) Epoch 9, batch 11600, loss[loss=0.2102, simple_loss=0.2602, pruned_loss=0.0801, over 13007.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.1095, over 33.00 utterances.], tot_loss[loss=0.3157, simple_loss=0.3733, pruned_loss=0.129, over 2773802.11 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07313, over 45492.17 utterances.], batch size: 33, lr: 4.90e-04
+2022-09-17 19:18:01,457 INFO [train.py:885] (1/2) Epoch 9, batch 11650, loss[loss=0.3006, simple_loss=0.3658, pruned_loss=0.1177, over 14306.00 frames. utt_duration=273.9 frames, utt_pad_proportion=0.03565, over 210.00 utterances.], tot_loss[loss=0.316, simple_loss=0.374, pruned_loss=0.129, over 2776562.56 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07289, over 46097.84 utterances.], batch size: 210, lr: 4.89e-04
+2022-09-17 19:18:30,403 INFO [train.py:885] (1/2) Epoch 9, batch 11700, loss[loss=0.3515, simple_loss=0.4348, pruned_loss=0.1341, over 13663.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07908, over 477.00 utterances.], tot_loss[loss=0.3165, simple_loss=0.3751, pruned_loss=0.1289, over 2779057.47 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07185, over 46345.39 utterances.], batch size: 477, lr: 4.89e-04
+2022-09-17 19:18:59,999 INFO [train.py:885] (1/2) Epoch 9, batch 11750, loss[loss=0.2651, simple_loss=0.3234, pruned_loss=0.1034, over 14186.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04365, over 109.00 utterances.], tot_loss[loss=0.3156, simple_loss=0.3744, pruned_loss=0.1283, over 2779791.31 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07227, over 46546.88 utterances.], batch size: 109, lr: 4.89e-04
+2022-09-17 19:19:29,124 INFO [train.py:885] (1/2) Epoch 9, batch 11800, loss[loss=0.2771, simple_loss=0.346, pruned_loss=0.1041, over 14357.00 frames. utt_duration=443.3 frames, utt_pad_proportion=0.03632, over 130.00 utterances.], tot_loss[loss=0.3196, simple_loss=0.3778, pruned_loss=0.1307, over 2784474.84 frames. utt_duration=240 frames, utt_pad_proportion=0.0706, over 46687.16 utterances.], batch size: 130, lr: 4.89e-04
+2022-09-17 19:19:58,887 INFO [train.py:885] (1/2) Epoch 9, batch 11850, loss[loss=0.2658, simple_loss=0.3237, pruned_loss=0.104, over 14099.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05433, over 98.00 utterances.], tot_loss[loss=0.3178, simple_loss=0.3756, pruned_loss=0.13, over 2784761.78 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06896, over 45470.72 utterances.], batch size: 98, lr: 4.89e-04
+2022-09-17 19:20:28,757 INFO [train.py:885] (1/2) Epoch 9, batch 11900, loss[loss=0.4594, simple_loss=0.5314, pruned_loss=0.1937, over 13132.00 frames. utt_duration=81.94 frames, utt_pad_proportion=0.1093, over 653.00 utterances.], tot_loss[loss=0.3187, simple_loss=0.3772, pruned_loss=0.13, over 2781134.89 frames. utt_duration=237 frames, utt_pad_proportion=0.07118, over 47241.49 utterances.], batch size: 653, lr: 4.89e-04
+2022-09-17 19:20:58,003 INFO [train.py:885] (1/2) Epoch 9, batch 11950, loss[loss=0.334, simple_loss=0.4139, pruned_loss=0.1271, over 13768.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07179, over 411.00 utterances.], tot_loss[loss=0.3185, simple_loss=0.3777, pruned_loss=0.1297, over 2782306.56 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07168, over 47723.69 utterances.], batch size: 411, lr: 4.89e-04
+2022-09-17 19:21:27,308 INFO [train.py:885] (1/2) Epoch 9, batch 12000, loss[loss=0.3974, simple_loss=0.437, pruned_loss=0.179, over 14291.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04103, over 262.00 utterances.], tot_loss[loss=0.3188, simple_loss=0.3775, pruned_loss=0.1301, over 2783160.73 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07174, over 47241.97 utterances.], batch size: 262, lr: 4.89e-04
+2022-09-17 19:21:27,310 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 19:21:31,991 INFO [train.py:914] (1/2) Epoch 9, validation: loss=0.2093, simple_loss=0.2851, pruned_loss=0.06677, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 19:22:00,826 INFO [train.py:885] (1/2) Epoch 9, batch 12050, loss[loss=0.3662, simple_loss=0.4182, pruned_loss=0.1572, over 14328.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03787, over 262.00 utterances.], tot_loss[loss=0.3171, simple_loss=0.3761, pruned_loss=0.1291, over 2782887.99 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07231, over 46177.94 utterances.], batch size: 262, lr: 4.89e-04
+2022-09-17 19:22:30,888 INFO [train.py:885] (1/2) Epoch 9, batch 12100, loss[loss=0.2009, simple_loss=0.2752, pruned_loss=0.06324, over 14202.00 frames. utt_duration=639.9 frames, utt_pad_proportion=0.04638, over 89.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3749, pruned_loss=0.1289, over 2780536.12 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07266, over 45819.40 utterances.], batch size: 89, lr: 4.88e-04
+2022-09-17 19:23:00,959 INFO [train.py:885] (1/2) Epoch 9, batch 12150, loss[loss=0.2662, simple_loss=0.3331, pruned_loss=0.09962, over 14033.00 frames. utt_duration=574.1 frames, utt_pad_proportion=0.05737, over 98.00 utterances.], tot_loss[loss=0.3155, simple_loss=0.3741, pruned_loss=0.1285, over 2785325.20 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07083, over 45104.00 utterances.], batch size: 98, lr: 4.88e-04
+2022-09-17 19:23:29,877 INFO [train.py:885] (1/2) Epoch 9, batch 12200, loss[loss=0.1992, simple_loss=0.2445, pruned_loss=0.07691, over 13849.00 frames. utt_duration=804.4 frames, utt_pad_proportion=0.06356, over 69.00 utterances.], tot_loss[loss=0.3186, simple_loss=0.3764, pruned_loss=0.1304, over 2786403.24 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07022, over 45671.23 utterances.], batch size: 69, lr: 4.88e-04
+2022-09-17 19:23:59,161 INFO [train.py:885] (1/2) Epoch 9, batch 12250, loss[loss=0.3461, simple_loss=0.4052, pruned_loss=0.1435, over 14200.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.0451, over 306.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3727, pruned_loss=0.1284, over 2787692.19 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06827, over 44182.97 utterances.], batch size: 306, lr: 4.88e-04
+2022-09-17 19:24:29,069 INFO [train.py:885] (1/2) Epoch 9, batch 12300, loss[loss=0.2175, simple_loss=0.2789, pruned_loss=0.07808, over 12418.00 frames. utt_duration=2072 frames, utt_pad_proportion=0.1541, over 24.00 utterances.], tot_loss[loss=0.3135, simple_loss=0.3714, pruned_loss=0.1278, over 2784558.22 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06867, over 43955.46 utterances.], batch size: 24, lr: 4.88e-04
+2022-09-17 19:24:58,482 INFO [train.py:885] (1/2) Epoch 9, batch 12350, loss[loss=0.3412, simple_loss=0.434, pruned_loss=0.1242, over 13621.00 frames. utt_duration=98.75 frames, utt_pad_proportion=0.07707, over 560.00 utterances.], tot_loss[loss=0.3138, simple_loss=0.3719, pruned_loss=0.1279, over 2784036.42 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06909, over 44297.92 utterances.], batch size: 560, lr: 4.88e-04
+2022-09-17 19:25:27,572 INFO [train.py:885] (1/2) Epoch 9, batch 12400, loss[loss=0.2771, simple_loss=0.3618, pruned_loss=0.09625, over 14357.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03521, over 195.00 utterances.], tot_loss[loss=0.3144, simple_loss=0.3732, pruned_loss=0.1278, over 2785881.38 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06881, over 45776.61 utterances.], batch size: 195, lr: 4.88e-04
+2022-09-17 19:25:58,080 INFO [train.py:885] (1/2) Epoch 9, batch 12450, loss[loss=0.3057, simple_loss=0.3775, pruned_loss=0.117, over 14335.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03443, over 244.00 utterances.], tot_loss[loss=0.3094, simple_loss=0.369, pruned_loss=0.1249, over 2783092.63 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06929, over 44404.94 utterances.], batch size: 244, lr: 4.88e-04
+2022-09-17 19:26:27,259 INFO [train.py:885] (1/2) Epoch 9, batch 12500, loss[loss=0.3153, simple_loss=0.3839, pruned_loss=0.1234, over 14286.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03973, over 180.00 utterances.], tot_loss[loss=0.306, simple_loss=0.3651, pruned_loss=0.1235, over 2782061.71 frames. utt_duration=263.8 frames, utt_pad_proportion=0.06822, over 42426.87 utterances.], batch size: 180, lr: 4.88e-04
+2022-09-17 19:26:56,611 INFO [train.py:885] (1/2) Epoch 9, batch 12550, loss[loss=0.43, simple_loss=0.4868, pruned_loss=0.1866, over 13603.00 frames. utt_duration=98.62 frames, utt_pad_proportion=0.07835, over 560.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3701, pruned_loss=0.1261, over 2782595.56 frames. utt_duration=255 frames, utt_pad_proportion=0.06861, over 43903.76 utterances.], batch size: 560, lr: 4.87e-04
+2022-09-17 19:27:24,732 INFO [train.py:885] (1/2) Epoch 9, batch 12600, loss[loss=0.2578, simple_loss=0.3272, pruned_loss=0.09418, over 14306.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.04157, over 120.00 utterances.], tot_loss[loss=0.3137, simple_loss=0.3723, pruned_loss=0.1275, over 2778453.53 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07132, over 44971.74 utterances.], batch size: 120, lr: 4.87e-04
+2022-09-17 19:27:43,428 INFO [train.py:885] (1/2) Epoch 10, batch 0, loss[loss=0.253, simple_loss=0.3209, pruned_loss=0.0926, over 14139.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.0468, over 109.00 utterances.], tot_loss[loss=0.253, simple_loss=0.3209, pruned_loss=0.0926, over 14139.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.0468, over 109.00 utterances.], batch size: 109, lr: 4.69e-04
+2022-09-17 19:28:14,134 INFO [train.py:885] (1/2) Epoch 10, batch 50, loss[loss=0.2623, simple_loss=0.3263, pruned_loss=0.09909, over 14174.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04449, over 109.00 utterances.], tot_loss[loss=0.3327, simple_loss=0.3939, pruned_loss=0.1358, over 624779.86 frames. utt_duration=193.1 frames, utt_pad_proportion=0.08391, over 13044.93 utterances.], batch size: 109, lr: 4.68e-04
+2022-09-17 19:28:43,644 INFO [train.py:885] (1/2) Epoch 10, batch 100, loss[loss=0.7741, simple_loss=0.7661, pruned_loss=0.391, over 12497.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1448, over 810.00 utterances.], tot_loss[loss=0.327, simple_loss=0.386, pruned_loss=0.134, over 1099422.90 frames. utt_duration=209.1 frames, utt_pad_proportion=0.08011, over 21182.89 utterances.], batch size: 810, lr: 4.68e-04
+2022-09-17 19:29:13,444 INFO [train.py:885] (1/2) Epoch 10, batch 150, loss[loss=0.2949, simple_loss=0.359, pruned_loss=0.1154, over 14314.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.03833, over 154.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.3801, pruned_loss=0.1313, over 1468313.03 frames. utt_duration=222.7 frames, utt_pad_proportion=0.07764, over 26550.80 utterances.], batch size: 154, lr: 4.68e-04
+2022-09-17 19:29:42,420 INFO [train.py:885] (1/2) Epoch 10, batch 200, loss[loss=0.2822, simple_loss=0.3411, pruned_loss=0.1116, over 14308.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03959, over 120.00 utterances.], tot_loss[loss=0.3156, simple_loss=0.3745, pruned_loss=0.1284, over 1762440.36 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07351, over 29568.77 utterances.], batch size: 120, lr: 4.68e-04
+2022-09-17 19:30:12,175 INFO [train.py:885] (1/2) Epoch 10, batch 250, loss[loss=0.2541, simple_loss=0.324, pruned_loss=0.09214, over 13825.00 frames. utt_duration=803 frames, utt_pad_proportion=0.06521, over 69.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3734, pruned_loss=0.1286, over 1987888.50 frames. utt_duration=251.6 frames, utt_pad_proportion=0.0724, over 31789.98 utterances.], batch size: 69, lr: 4.68e-04
+2022-09-17 19:30:41,531 INFO [train.py:885] (1/2) Epoch 10, batch 300, loss[loss=0.5584, simple_loss=0.5892, pruned_loss=0.2639, over 13136.00 frames. utt_duration=82.01 frames, utt_pad_proportion=0.1086, over 653.00 utterances.], tot_loss[loss=0.3176, simple_loss=0.3753, pruned_loss=0.13, over 2164317.96 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07115, over 35180.36 utterances.], batch size: 653, lr: 4.68e-04
+2022-09-17 19:31:11,233 INFO [train.py:885] (1/2) Epoch 10, batch 350, loss[loss=0.3179, simple_loss=0.3772, pruned_loss=0.1293, over 14344.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03916, over 167.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3704, pruned_loss=0.1276, over 2300096.98 frames. utt_duration=258.8 frames, utt_pad_proportion=0.07071, over 35749.45 utterances.], batch size: 167, lr: 4.68e-04
+2022-09-17 19:31:40,464 INFO [train.py:885] (1/2) Epoch 10, batch 400, loss[loss=0.4087, simple_loss=0.4344, pruned_loss=0.1914, over 14281.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04153, over 262.00 utterances.], tot_loss[loss=0.3161, simple_loss=0.3738, pruned_loss=0.1292, over 2405687.04 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07179, over 38573.00 utterances.], batch size: 262, lr: 4.68e-04
+2022-09-17 19:32:10,434 INFO [train.py:885] (1/2) Epoch 10, batch 450, loss[loss=0.4292, simple_loss=0.5079, pruned_loss=0.1752, over 13154.00 frames. utt_duration=82.1 frames, utt_pad_proportion=0.1076, over 653.00 utterances.], tot_loss[loss=0.3168, simple_loss=0.3746, pruned_loss=0.1295, over 2488457.09 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07097, over 40605.42 utterances.], batch size: 653, lr: 4.68e-04
+2022-09-17 19:32:39,355 INFO [train.py:885] (1/2) Epoch 10, batch 500, loss[loss=0.3099, simple_loss=0.3739, pruned_loss=0.1229, over 14308.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04046, over 154.00 utterances.], tot_loss[loss=0.3111, simple_loss=0.3691, pruned_loss=0.1266, over 2549720.70 frames. utt_duration=258.8 frames, utt_pad_proportion=0.06871, over 39637.40 utterances.], batch size: 154, lr: 4.68e-04
+2022-09-17 19:33:09,451 INFO [train.py:885] (1/2) Epoch 10, batch 550, loss[loss=0.341, simple_loss=0.3869, pruned_loss=0.1475, over 14335.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.0369, over 195.00 utterances.], tot_loss[loss=0.3127, simple_loss=0.3706, pruned_loss=0.1274, over 2603003.04 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06832, over 41086.09 utterances.], batch size: 195, lr: 4.67e-04
+2022-09-17 19:33:38,715 INFO [train.py:885] (1/2) Epoch 10, batch 600, loss[loss=0.3094, simple_loss=0.3723, pruned_loss=0.1233, over 14296.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03879, over 180.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3723, pruned_loss=0.1286, over 2637212.31 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07129, over 42131.48 utterances.], batch size: 180, lr: 4.67e-04
+2022-09-17 19:34:08,302 INFO [train.py:885] (1/2) Epoch 10, batch 650, loss[loss=0.2313, simple_loss=0.294, pruned_loss=0.08426, over 13752.00 frames. utt_duration=798.7 frames, utt_pad_proportion=0.07022, over 69.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.3675, pruned_loss=0.1256, over 2665830.67 frames. utt_duration=259.8 frames, utt_pad_proportion=0.0715, over 41284.55 utterances.], batch size: 69, lr: 4.67e-04
+2022-09-17 19:34:36,683 INFO [train.py:885] (1/2) Epoch 10, batch 700, loss[loss=0.2687, simple_loss=0.3431, pruned_loss=0.09714, over 14249.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04549, over 141.00 utterances.], tot_loss[loss=0.3087, simple_loss=0.3668, pruned_loss=0.1253, over 2695285.94 frames. utt_duration=265.8 frames, utt_pad_proportion=0.06868, over 40788.19 utterances.], batch size: 141, lr: 4.67e-04
+2022-09-17 19:35:06,387 INFO [train.py:885] (1/2) Epoch 10, batch 750, loss[loss=0.1788, simple_loss=0.2294, pruned_loss=0.06405, over 13795.00 frames. utt_duration=921.1 frames, utt_pad_proportion=0.07057, over 60.00 utterances.], tot_loss[loss=0.3126, simple_loss=0.3709, pruned_loss=0.1272, over 2714009.76 frames. utt_duration=254.7 frames, utt_pad_proportion=0.0698, over 42867.44 utterances.], batch size: 60, lr: 4.67e-04
+2022-09-17 19:35:35,650 INFO [train.py:885] (1/2) Epoch 10, batch 800, loss[loss=0.1674, simple_loss=0.2255, pruned_loss=0.05462, over 12312.00 frames. utt_duration=2053 frames, utt_pad_proportion=0.1626, over 24.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3735, pruned_loss=0.128, over 2726578.04 frames. utt_duration=244 frames, utt_pad_proportion=0.0713, over 44975.84 utterances.], batch size: 24, lr: 4.67e-04
+2022-09-17 19:36:05,079 INFO [train.py:885] (1/2) Epoch 10, batch 850, loss[loss=0.4141, simple_loss=0.4448, pruned_loss=0.1916, over 14348.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03601, over 195.00 utterances.], tot_loss[loss=0.3193, simple_loss=0.3778, pruned_loss=0.1304, over 2739684.03 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07254, over 46681.59 utterances.], batch size: 195, lr: 4.67e-04
+2022-09-17 19:36:35,209 INFO [train.py:885] (1/2) Epoch 10, batch 900, loss[loss=0.3073, simple_loss=0.3788, pruned_loss=0.1179, over 14367.00 frames. utt_duration=204.4 frames, utt_pad_proportion=0.03565, over 283.00 utterances.], tot_loss[loss=0.3211, simple_loss=0.38, pruned_loss=0.1311, over 2746421.44 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07383, over 47837.86 utterances.], batch size: 283, lr: 4.67e-04
+2022-09-17 19:37:03,671 INFO [train.py:885] (1/2) Epoch 10, batch 950, loss[loss=0.1609, simple_loss=0.2312, pruned_loss=0.04529, over 13822.00 frames. utt_duration=922.7 frames, utt_pad_proportion=0.06984, over 60.00 utterances.], tot_loss[loss=0.3177, simple_loss=0.376, pruned_loss=0.1297, over 2751719.94 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07333, over 45981.19 utterances.], batch size: 60, lr: 4.67e-04
+2022-09-17 19:37:33,998 INFO [train.py:885] (1/2) Epoch 10, batch 1000, loss[loss=0.3209, simple_loss=0.4073, pruned_loss=0.1172, over 13797.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06981, over 411.00 utterances.], tot_loss[loss=0.3186, simple_loss=0.3773, pruned_loss=0.1299, over 2757915.38 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07402, over 46416.97 utterances.], batch size: 411, lr: 4.67e-04
+2022-09-17 19:38:03,266 INFO [train.py:885] (1/2) Epoch 10, batch 1050, loss[loss=0.2331, simple_loss=0.2989, pruned_loss=0.08365, over 14305.00 frames. utt_duration=644.3 frames, utt_pad_proportion=0.03829, over 89.00 utterances.], tot_loss[loss=0.3175, simple_loss=0.3756, pruned_loss=0.1297, over 2760233.18 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07524, over 45295.13 utterances.], batch size: 89, lr: 4.66e-04
+2022-09-17 19:38:32,715 INFO [train.py:885] (1/2) Epoch 10, batch 1100, loss[loss=0.3411, simple_loss=0.4365, pruned_loss=0.1228, over 13597.00 frames. utt_duration=98.5 frames, utt_pad_proportion=0.07944, over 560.00 utterances.], tot_loss[loss=0.3139, simple_loss=0.3724, pruned_loss=0.1277, over 2762231.75 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07352, over 44660.43 utterances.], batch size: 560, lr: 4.66e-04
+2022-09-17 19:39:02,528 INFO [train.py:885] (1/2) Epoch 10, batch 1150, loss[loss=0.4532, simple_loss=0.4742, pruned_loss=0.2161, over 14337.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03481, over 244.00 utterances.], tot_loss[loss=0.3129, simple_loss=0.3715, pruned_loss=0.1271, over 2766673.62 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07279, over 44053.97 utterances.], batch size: 244, lr: 4.66e-04
+2022-09-17 19:39:32,201 INFO [train.py:885] (1/2) Epoch 10, batch 1200, loss[loss=0.1595, simple_loss=0.2053, pruned_loss=0.05691, over 13006.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.1065, over 33.00 utterances.], tot_loss[loss=0.3127, simple_loss=0.3717, pruned_loss=0.1268, over 2769259.27 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07173, over 44645.26 utterances.], batch size: 33, lr: 4.66e-04
+2022-09-17 19:40:01,638 INFO [train.py:885] (1/2) Epoch 10, batch 1250, loss[loss=0.2212, simple_loss=0.2903, pruned_loss=0.07601, over 14083.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05367, over 98.00 utterances.], tot_loss[loss=0.3143, simple_loss=0.3734, pruned_loss=0.1276, over 2771991.59 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07288, over 45772.94 utterances.], batch size: 98, lr: 4.66e-04
+2022-09-17 19:40:31,214 INFO [train.py:885] (1/2) Epoch 10, batch 1300, loss[loss=0.3186, simple_loss=0.376, pruned_loss=0.1306, over 14389.00 frames. utt_duration=345.9 frames, utt_pad_proportion=0.03648, over 167.00 utterances.], tot_loss[loss=0.3125, simple_loss=0.3717, pruned_loss=0.1267, over 2768669.48 frames. utt_duration=245 frames, utt_pad_proportion=0.07512, over 45480.36 utterances.], batch size: 167, lr: 4.66e-04
+2022-09-17 19:41:00,623 INFO [train.py:885] (1/2) Epoch 10, batch 1350, loss[loss=0.2373, simple_loss=0.3038, pruned_loss=0.08538, over 13855.00 frames. utt_duration=1321 frames, utt_pad_proportion=0.07495, over 42.00 utterances.], tot_loss[loss=0.3155, simple_loss=0.3735, pruned_loss=0.1288, over 2774217.90 frames. utt_duration=245.5 frames, utt_pad_proportion=0.074, over 45473.36 utterances.], batch size: 42, lr: 4.66e-04
+2022-09-17 19:41:30,566 INFO [train.py:885] (1/2) Epoch 10, batch 1400, loss[loss=0.3394, simple_loss=0.4038, pruned_loss=0.1375, over 14280.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.0397, over 225.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.3792, pruned_loss=0.1317, over 2769967.41 frames. utt_duration=229 frames, utt_pad_proportion=0.07577, over 48694.83 utterances.], batch size: 225, lr: 4.66e-04
+2022-09-17 19:41:59,991 INFO [train.py:885] (1/2) Epoch 10, batch 1450, loss[loss=0.3356, simple_loss=0.4212, pruned_loss=0.125, over 13772.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07134, over 411.00 utterances.], tot_loss[loss=0.3189, simple_loss=0.3772, pruned_loss=0.1303, over 2769457.48 frames. utt_duration=231 frames, utt_pad_proportion=0.07524, over 48269.96 utterances.], batch size: 411, lr: 4.66e-04
+2022-09-17 19:42:29,492 INFO [train.py:885] (1/2) Epoch 10, batch 1500, loss[loss=0.3487, simple_loss=0.4344, pruned_loss=0.1315, over 13645.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08051, over 477.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3759, pruned_loss=0.1293, over 2771825.48 frames. utt_duration=233.2 frames, utt_pad_proportion=0.0758, over 47846.20 utterances.], batch size: 477, lr: 4.66e-04
+2022-09-17 19:43:06,610 INFO [train.py:885] (1/2) Epoch 10, batch 1550, loss[loss=0.2671, simple_loss=0.3212, pruned_loss=0.1065, over 13723.00 frames. utt_duration=1099 frames, utt_pad_proportion=0.07548, over 50.00 utterances.], tot_loss[loss=0.3187, simple_loss=0.3776, pruned_loss=0.1299, over 2776140.22 frames. utt_duration=231.5 frames, utt_pad_proportion=0.07479, over 48274.13 utterances.], batch size: 50, lr: 4.65e-04
+2022-09-17 19:43:35,823 INFO [train.py:885] (1/2) Epoch 10, batch 1600, loss[loss=0.2555, simple_loss=0.3215, pruned_loss=0.09474, over 14053.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.05406, over 98.00 utterances.], tot_loss[loss=0.3141, simple_loss=0.3729, pruned_loss=0.1276, over 2779324.09 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07344, over 45820.68 utterances.], batch size: 98, lr: 4.65e-04
+2022-09-17 19:44:05,177 INFO [train.py:885] (1/2) Epoch 10, batch 1650, loss[loss=0.2461, simple_loss=0.3029, pruned_loss=0.09468, over 14079.00 frames. utt_duration=576.2 frames, utt_pad_proportion=0.05549, over 98.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3747, pruned_loss=0.128, over 2778726.40 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07452, over 46676.56 utterances.], batch size: 98, lr: 4.65e-04
+2022-09-17 19:44:35,317 INFO [train.py:885] (1/2) Epoch 10, batch 1700, loss[loss=0.2158, simple_loss=0.2843, pruned_loss=0.07366, over 13908.00 frames. utt_duration=705.7 frames, utt_pad_proportion=0.06649, over 79.00 utterances.], tot_loss[loss=0.3126, simple_loss=0.3725, pruned_loss=0.1263, over 2777949.13 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07419, over 46459.69 utterances.], batch size: 79, lr: 4.65e-04
+2022-09-17 19:45:04,202 INFO [train.py:885] (1/2) Epoch 10, batch 1750, loss[loss=0.3307, simple_loss=0.4212, pruned_loss=0.1201, over 13659.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07925, over 477.00 utterances.], tot_loss[loss=0.3097, simple_loss=0.3697, pruned_loss=0.1249, over 2779390.31 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07316, over 45532.65 utterances.], batch size: 477, lr: 4.65e-04
+2022-09-17 19:45:33,339 INFO [train.py:885] (1/2) Epoch 10, batch 1800, loss[loss=0.2546, simple_loss=0.32, pruned_loss=0.09459, over 13956.00 frames. utt_duration=810.6 frames, utt_pad_proportion=0.0575, over 69.00 utterances.], tot_loss[loss=0.3069, simple_loss=0.3669, pruned_loss=0.1235, over 2784377.56 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07023, over 43906.17 utterances.], batch size: 69, lr: 4.65e-04
+2022-09-17 19:46:02,902 INFO [train.py:885] (1/2) Epoch 10, batch 1850, loss[loss=0.2989, simple_loss=0.3543, pruned_loss=0.1217, over 14113.00 frames. utt_duration=577.4 frames, utt_pad_proportion=0.05196, over 98.00 utterances.], tot_loss[loss=0.3055, simple_loss=0.3656, pruned_loss=0.1227, over 2786196.35 frames. utt_duration=257.8 frames, utt_pad_proportion=0.06951, over 43486.70 utterances.], batch size: 98, lr: 4.65e-04
+2022-09-17 19:46:32,445 INFO [train.py:885] (1/2) Epoch 10, batch 1900, loss[loss=0.2008, simple_loss=0.2684, pruned_loss=0.06664, over 13038.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.1245, over 33.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.3653, pruned_loss=0.1226, over 2782750.06 frames. utt_duration=256.7 frames, utt_pad_proportion=0.07176, over 43611.54 utterances.], batch size: 33, lr: 4.65e-04
+2022-09-17 19:47:01,880 INFO [train.py:885] (1/2) Epoch 10, batch 1950, loss[loss=0.2969, simple_loss=0.3539, pruned_loss=0.12, over 14354.00 frames. utt_duration=479.8 frames, utt_pad_proportion=0.03844, over 120.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.3655, pruned_loss=0.1226, over 2784088.88 frames. utt_duration=256 frames, utt_pad_proportion=0.07108, over 43749.85 utterances.], batch size: 120, lr: 4.65e-04
+2022-09-17 19:47:31,585 INFO [train.py:885] (1/2) Epoch 10, batch 2000, loss[loss=0.3953, simple_loss=0.4365, pruned_loss=0.1771, over 14192.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.0454, over 306.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3644, pruned_loss=0.1221, over 2786374.40 frames. utt_duration=261.7 frames, utt_pad_proportion=0.06736, over 42837.13 utterances.], batch size: 306, lr: 4.65e-04
+2022-09-17 19:48:09,222 INFO [train.py:885] (1/2) Epoch 10, batch 2050, loss[loss=0.3912, simple_loss=0.4362, pruned_loss=0.1731, over 14222.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04312, over 306.00 utterances.], tot_loss[loss=0.3098, simple_loss=0.37, pruned_loss=0.1247, over 2780897.57 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07153, over 46096.76 utterances.], batch size: 306, lr: 4.64e-04
+2022-09-17 19:48:38,402 INFO [train.py:885] (1/2) Epoch 10, batch 2100, loss[loss=0.3334, simple_loss=0.384, pruned_loss=0.1414, over 14327.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03934, over 154.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.3651, pruned_loss=0.1227, over 2784614.86 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06894, over 43555.24 utterances.], batch size: 154, lr: 4.64e-04
+2022-09-17 19:49:08,006 INFO [train.py:885] (1/2) Epoch 10, batch 2150, loss[loss=0.4183, simple_loss=0.4461, pruned_loss=0.1953, over 14197.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04477, over 306.00 utterances.], tot_loss[loss=0.3082, simple_loss=0.3676, pruned_loss=0.1244, over 2784254.06 frames. utt_duration=252 frames, utt_pad_proportion=0.07032, over 44447.41 utterances.], batch size: 306, lr: 4.64e-04
+2022-09-17 19:49:37,791 INFO [train.py:885] (1/2) Epoch 10, batch 2200, loss[loss=0.3487, simple_loss=0.4099, pruned_loss=0.1437, over 14269.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04057, over 225.00 utterances.], tot_loss[loss=0.3141, simple_loss=0.3737, pruned_loss=0.1273, over 2782752.11 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07286, over 46556.76 utterances.], batch size: 225, lr: 4.64e-04
+2022-09-17 19:50:07,427 INFO [train.py:885] (1/2) Epoch 10, batch 2250, loss[loss=0.3391, simple_loss=0.3904, pruned_loss=0.1438, over 14299.00 frames. utt_duration=294.7 frames, utt_pad_proportion=0.04012, over 195.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3656, pruned_loss=0.123, over 2780052.40 frames. utt_duration=254 frames, utt_pad_proportion=0.07148, over 44036.52 utterances.], batch size: 195, lr: 4.64e-04
+2022-09-17 19:50:37,209 INFO [train.py:885] (1/2) Epoch 10, batch 2300, loss[loss=0.2705, simple_loss=0.3195, pruned_loss=0.1108, over 14041.00 frames. utt_duration=712.4 frames, utt_pad_proportion=0.0577, over 79.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3672, pruned_loss=0.1239, over 2783140.73 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06971, over 44184.48 utterances.], batch size: 79, lr: 4.64e-04
+2022-09-17 19:51:06,261 INFO [train.py:885] (1/2) Epoch 10, batch 2350, loss[loss=0.2104, simple_loss=0.2805, pruned_loss=0.07021, over 13050.00 frames. utt_duration=2009 frames, utt_pad_proportion=0.1117, over 26.00 utterances.], tot_loss[loss=0.3056, simple_loss=0.3661, pruned_loss=0.1226, over 2779120.09 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07098, over 44310.35 utterances.], batch size: 26, lr: 4.64e-04
+2022-09-17 19:51:35,843 INFO [train.py:885] (1/2) Epoch 10, batch 2400, loss[loss=0.3096, simple_loss=0.3734, pruned_loss=0.123, over 14332.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03845, over 262.00 utterances.], tot_loss[loss=0.309, simple_loss=0.3689, pruned_loss=0.1245, over 2784625.65 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06971, over 44829.74 utterances.], batch size: 262, lr: 4.64e-04
+2022-09-17 19:52:05,959 INFO [train.py:885] (1/2) Epoch 10, batch 2450, loss[loss=0.3489, simple_loss=0.3965, pruned_loss=0.1507, over 14319.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03819, over 195.00 utterances.], tot_loss[loss=0.3123, simple_loss=0.3713, pruned_loss=0.1266, over 2786104.09 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06913, over 44589.03 utterances.], batch size: 195, lr: 4.64e-04
+2022-09-17 19:52:35,120 INFO [train.py:885] (1/2) Epoch 10, batch 2500, loss[loss=0.3557, simple_loss=0.407, pruned_loss=0.1522, over 14319.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03962, over 262.00 utterances.], tot_loss[loss=0.3102, simple_loss=0.3696, pruned_loss=0.1254, over 2784686.91 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06875, over 44300.26 utterances.], batch size: 262, lr: 4.64e-04
+2022-09-17 19:53:04,963 INFO [train.py:885] (1/2) Epoch 10, batch 2550, loss[loss=0.2127, simple_loss=0.2796, pruned_loss=0.07291, over 11977.00 frames. utt_duration=1997 frames, utt_pad_proportion=0.1985, over 24.00 utterances.], tot_loss[loss=0.3149, simple_loss=0.3735, pruned_loss=0.1282, over 2776903.79 frames. utt_duration=247 frames, utt_pad_proportion=0.07208, over 45247.11 utterances.], batch size: 24, lr: 4.63e-04
+2022-09-17 19:53:33,830 INFO [train.py:885] (1/2) Epoch 10, batch 2600, loss[loss=0.2317, simple_loss=0.285, pruned_loss=0.08918, over 12783.00 frames. utt_duration=2047 frames, utt_pad_proportion=0.1182, over 25.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3739, pruned_loss=0.1278, over 2777114.69 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07222, over 46243.26 utterances.], batch size: 25, lr: 4.63e-04
+2022-09-17 19:54:03,778 INFO [train.py:885] (1/2) Epoch 10, batch 2650, loss[loss=0.5321, simple_loss=0.6043, pruned_loss=0.23, over 12392.00 frames. utt_duration=62.75 frames, utt_pad_proportion=0.152, over 810.00 utterances.], tot_loss[loss=0.3153, simple_loss=0.3745, pruned_loss=0.1281, over 2769652.69 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07619, over 46821.69 utterances.], batch size: 810, lr: 4.63e-04
+2022-09-17 19:54:33,709 INFO [train.py:885] (1/2) Epoch 10, batch 2700, loss[loss=0.2644, simple_loss=0.3257, pruned_loss=0.1016, over 14152.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04629, over 109.00 utterances.], tot_loss[loss=0.3169, simple_loss=0.3755, pruned_loss=0.1291, over 2770103.85 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07503, over 46860.53 utterances.], batch size: 109, lr: 4.63e-04
+2022-09-17 19:55:02,821 INFO [train.py:885] (1/2) Epoch 10, batch 2750, loss[loss=0.4236, simple_loss=0.4425, pruned_loss=0.2024, over 14328.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03877, over 262.00 utterances.], tot_loss[loss=0.3134, simple_loss=0.3721, pruned_loss=0.1273, over 2771053.59 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07489, over 45795.64 utterances.], batch size: 262, lr: 4.63e-04
+2022-09-17 19:55:32,726 INFO [train.py:885] (1/2) Epoch 10, batch 2800, loss[loss=0.4523, simple_loss=0.4675, pruned_loss=0.2185, over 14235.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04272, over 335.00 utterances.], tot_loss[loss=0.3134, simple_loss=0.372, pruned_loss=0.1274, over 2775840.25 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07266, over 45668.37 utterances.], batch size: 335, lr: 4.63e-04
+2022-09-17 19:56:01,598 INFO [train.py:885] (1/2) Epoch 10, batch 2850, loss[loss=0.1664, simple_loss=0.206, pruned_loss=0.06336, over 12574.00 frames. utt_duration=2097 frames, utt_pad_proportion=0.1391, over 24.00 utterances.], tot_loss[loss=0.3109, simple_loss=0.3696, pruned_loss=0.1261, over 2775663.00 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07206, over 44655.96 utterances.], batch size: 24, lr: 4.63e-04
+2022-09-17 19:56:31,455 INFO [train.py:885] (1/2) Epoch 10, batch 2900, loss[loss=0.3051, simple_loss=0.3721, pruned_loss=0.119, over 14283.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04033, over 225.00 utterances.], tot_loss[loss=0.3105, simple_loss=0.3701, pruned_loss=0.1255, over 2774705.62 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07388, over 45893.05 utterances.], batch size: 225, lr: 4.63e-04
+2022-09-17 19:57:00,274 INFO [train.py:885] (1/2) Epoch 10, batch 2950, loss[loss=0.263, simple_loss=0.3318, pruned_loss=0.09708, over 14266.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.04057, over 130.00 utterances.], tot_loss[loss=0.3091, simple_loss=0.3687, pruned_loss=0.1248, over 2778119.90 frames. utt_duration=249 frames, utt_pad_proportion=0.07234, over 44892.08 utterances.], batch size: 130, lr: 4.63e-04
+2022-09-17 19:57:29,648 INFO [train.py:885] (1/2) Epoch 10, batch 3000, loss[loss=0.2097, simple_loss=0.2672, pruned_loss=0.07612, over 13928.00 frames. utt_duration=930.3 frames, utt_pad_proportion=0.06218, over 60.00 utterances.], tot_loss[loss=0.3091, simple_loss=0.3686, pruned_loss=0.1247, over 2776040.40 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07224, over 44356.09 utterances.], batch size: 60, lr: 4.63e-04
+2022-09-17 19:57:29,648 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 19:57:34,744 INFO [train.py:914] (1/2) Epoch 10, validation: loss=0.2049, simple_loss=0.2828, pruned_loss=0.06348, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 19:58:04,709 INFO [train.py:885] (1/2) Epoch 10, batch 3050, loss[loss=0.2966, simple_loss=0.363, pruned_loss=0.1151, over 14308.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.0381, over 180.00 utterances.], tot_loss[loss=0.3121, simple_loss=0.3718, pruned_loss=0.1262, over 2767417.85 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07715, over 46506.18 utterances.], batch size: 180, lr: 4.62e-04
+2022-09-17 19:58:34,732 INFO [train.py:885] (1/2) Epoch 10, batch 3100, loss[loss=0.1649, simple_loss=0.2135, pruned_loss=0.05813, over 12122.00 frames. utt_duration=2022 frames, utt_pad_proportion=0.1877, over 24.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3697, pruned_loss=0.1247, over 2770078.57 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07507, over 46290.76 utterances.], batch size: 24, lr: 4.62e-04
+2022-09-17 19:59:03,653 INFO [train.py:885] (1/2) Epoch 10, batch 3150, loss[loss=0.2469, simple_loss=0.3217, pruned_loss=0.08608, over 14328.00 frames. utt_duration=479 frames, utt_pad_proportion=0.0382, over 120.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3675, pruned_loss=0.1236, over 2777546.93 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07167, over 44828.75 utterances.], batch size: 120, lr: 4.62e-04
+2022-09-17 19:59:32,823 INFO [train.py:885] (1/2) Epoch 10, batch 3200, loss[loss=0.3367, simple_loss=0.3845, pruned_loss=0.1444, over 14223.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.04748, over 141.00 utterances.], tot_loss[loss=0.3023, simple_loss=0.3621, pruned_loss=0.1212, over 2778929.24 frames. utt_duration=263 frames, utt_pad_proportion=0.06956, over 42501.75 utterances.], batch size: 141, lr: 4.62e-04
+2022-09-17 20:00:02,716 INFO [train.py:885] (1/2) Epoch 10, batch 3250, loss[loss=0.3573, simple_loss=0.407, pruned_loss=0.1538, over 14288.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.0394, over 225.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.3639, pruned_loss=0.1222, over 2784106.68 frames. utt_duration=262 frames, utt_pad_proportion=0.06852, over 42740.90 utterances.], batch size: 225, lr: 4.62e-04
+2022-09-17 20:00:33,398 INFO [train.py:885] (1/2) Epoch 10, batch 3300, loss[loss=0.3657, simple_loss=0.4186, pruned_loss=0.1564, over 14308.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.03874, over 226.00 utterances.], tot_loss[loss=0.3092, simple_loss=0.3682, pruned_loss=0.1251, over 2784578.60 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06853, over 44237.97 utterances.], batch size: 226, lr: 4.62e-04
+2022-09-17 20:01:02,977 INFO [train.py:885] (1/2) Epoch 10, batch 3350, loss[loss=0.3903, simple_loss=0.4281, pruned_loss=0.1763, over 14227.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04349, over 335.00 utterances.], tot_loss[loss=0.3083, simple_loss=0.3674, pruned_loss=0.1246, over 2782354.93 frames. utt_duration=254.7 frames, utt_pad_proportion=0.0696, over 43943.09 utterances.], batch size: 335, lr: 4.62e-04
+2022-09-17 20:01:32,675 INFO [train.py:885] (1/2) Epoch 10, batch 3400, loss[loss=0.3965, simple_loss=0.4712, pruned_loss=0.1609, over 13631.00 frames. utt_duration=98.53 frames, utt_pad_proportion=0.0792, over 561.00 utterances.], tot_loss[loss=0.3071, simple_loss=0.3665, pruned_loss=0.1239, over 2784586.88 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06933, over 43505.01 utterances.], batch size: 561, lr: 4.62e-04
+2022-09-17 20:02:02,051 INFO [train.py:885] (1/2) Epoch 10, batch 3450, loss[loss=0.2232, simple_loss=0.2812, pruned_loss=0.08265, over 14013.00 frames. utt_duration=802.3 frames, utt_pad_proportion=0.06378, over 70.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3651, pruned_loss=0.1233, over 2783023.66 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06822, over 43324.90 utterances.], batch size: 70, lr: 4.62e-04
+2022-09-17 20:02:31,716 INFO [train.py:885] (1/2) Epoch 10, batch 3500, loss[loss=0.2528, simple_loss=0.2974, pruned_loss=0.1041, over 13196.00 frames. utt_duration=1289 frames, utt_pad_proportion=0.09979, over 41.00 utterances.], tot_loss[loss=0.3075, simple_loss=0.3666, pruned_loss=0.1242, over 2782819.13 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06917, over 43872.82 utterances.], batch size: 41, lr: 4.62e-04
+2022-09-17 20:03:00,794 INFO [train.py:885] (1/2) Epoch 10, batch 3550, loss[loss=0.1847, simple_loss=0.2566, pruned_loss=0.05646, over 13581.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.0864, over 50.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3667, pruned_loss=0.1243, over 2785145.85 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06842, over 43372.81 utterances.], batch size: 50, lr: 4.61e-04
+2022-09-17 20:03:30,497 INFO [train.py:885] (1/2) Epoch 10, batch 3600, loss[loss=0.1887, simple_loss=0.2548, pruned_loss=0.06133, over 13457.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.09108, over 50.00 utterances.], tot_loss[loss=0.3097, simple_loss=0.3689, pruned_loss=0.1253, over 2781598.25 frames. utt_duration=250.7 frames, utt_pad_proportion=0.0702, over 44643.30 utterances.], batch size: 50, lr: 4.61e-04
+2022-09-17 20:03:59,822 INFO [train.py:885] (1/2) Epoch 10, batch 3650, loss[loss=0.5655, simple_loss=0.6235, pruned_loss=0.2537, over 12470.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1477, over 810.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.3663, pruned_loss=0.1237, over 2783801.83 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06941, over 43963.67 utterances.], batch size: 810, lr: 4.61e-04
+2022-09-17 20:04:29,687 INFO [train.py:885] (1/2) Epoch 10, batch 3700, loss[loss=0.2236, simple_loss=0.2616, pruned_loss=0.0928, over 13230.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.09609, over 41.00 utterances.], tot_loss[loss=0.309, simple_loss=0.369, pruned_loss=0.1245, over 2780878.76 frames. utt_duration=249 frames, utt_pad_proportion=0.06956, over 44939.37 utterances.], batch size: 41, lr: 4.61e-04
+2022-09-17 20:04:59,043 INFO [train.py:885] (1/2) Epoch 10, batch 3750, loss[loss=0.2381, simple_loss=0.3063, pruned_loss=0.08499, over 13852.00 frames. utt_duration=804.6 frames, utt_pad_proportion=0.06334, over 69.00 utterances.], tot_loss[loss=0.3105, simple_loss=0.37, pruned_loss=0.1255, over 2776281.64 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07301, over 45314.35 utterances.], batch size: 69, lr: 4.61e-04
+2022-09-17 20:05:28,821 INFO [train.py:885] (1/2) Epoch 10, batch 3800, loss[loss=0.2637, simple_loss=0.3266, pruned_loss=0.1004, over 13885.00 frames. utt_duration=927.2 frames, utt_pad_proportion=0.0568, over 60.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3713, pruned_loss=0.1256, over 2779971.03 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07171, over 45396.25 utterances.], batch size: 60, lr: 4.61e-04
+2022-09-17 20:05:58,203 INFO [train.py:885] (1/2) Epoch 10, batch 3850, loss[loss=0.2224, simple_loss=0.2804, pruned_loss=0.08216, over 12958.00 frames. utt_duration=1572 frames, utt_pad_proportion=0.1233, over 33.00 utterances.], tot_loss[loss=0.3105, simple_loss=0.3707, pruned_loss=0.1252, over 2780856.96 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07111, over 44837.64 utterances.], batch size: 33, lr: 4.61e-04
+2022-09-17 20:06:27,974 INFO [train.py:885] (1/2) Epoch 10, batch 3900, loss[loss=0.2465, simple_loss=0.3032, pruned_loss=0.09492, over 13797.00 frames. utt_duration=801.3 frames, utt_pad_proportion=0.06611, over 69.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3708, pruned_loss=0.1258, over 2780457.90 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07115, over 45184.14 utterances.], batch size: 69, lr: 4.61e-04
+2022-09-17 20:06:57,495 INFO [train.py:885] (1/2) Epoch 10, batch 3950, loss[loss=0.5729, simple_loss=0.6324, pruned_loss=0.2567, over 12473.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.1459, over 810.00 utterances.], tot_loss[loss=0.3117, simple_loss=0.3723, pruned_loss=0.1255, over 2778924.70 frames. utt_duration=238.8 frames, utt_pad_proportion=0.0719, over 46842.37 utterances.], batch size: 810, lr: 4.61e-04
+2022-09-17 20:07:27,604 INFO [train.py:885] (1/2) Epoch 10, batch 4000, loss[loss=0.2079, simple_loss=0.2619, pruned_loss=0.07699, over 13287.00 frames. utt_duration=1612 frames, utt_pad_proportion=0.1045, over 33.00 utterances.], tot_loss[loss=0.3109, simple_loss=0.3711, pruned_loss=0.1253, over 2781935.98 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07054, over 46040.36 utterances.], batch size: 33, lr: 4.61e-04
+2022-09-17 20:07:57,294 INFO [train.py:885] (1/2) Epoch 10, batch 4050, loss[loss=0.166, simple_loss=0.2272, pruned_loss=0.05239, over 13380.00 frames. utt_duration=1307 frames, utt_pad_proportion=0.07629, over 41.00 utterances.], tot_loss[loss=0.3101, simple_loss=0.3695, pruned_loss=0.1253, over 2782795.08 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06922, over 45099.54 utterances.], batch size: 41, lr: 4.60e-04
+2022-09-17 20:08:26,495 INFO [train.py:885] (1/2) Epoch 10, batch 4100, loss[loss=0.2117, simple_loss=0.276, pruned_loss=0.07367, over 13666.00 frames. utt_duration=1073 frames, utt_pad_proportion=0.08435, over 51.00 utterances.], tot_loss[loss=0.3075, simple_loss=0.3675, pruned_loss=0.1238, over 2779522.64 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07078, over 44642.52 utterances.], batch size: 51, lr: 4.60e-04
+2022-09-17 20:08:55,902 INFO [train.py:885] (1/2) Epoch 10, batch 4150, loss[loss=0.2935, simple_loss=0.3524, pruned_loss=0.1173, over 14369.00 frames. utt_duration=443.6 frames, utt_pad_proportion=0.03574, over 130.00 utterances.], tot_loss[loss=0.3071, simple_loss=0.3666, pruned_loss=0.1239, over 2778717.14 frames. utt_duration=255.7 frames, utt_pad_proportion=0.07045, over 43722.84 utterances.], batch size: 130, lr: 4.60e-04
+2022-09-17 20:09:25,618 INFO [train.py:885] (1/2) Epoch 10, batch 4200, loss[loss=0.2345, simple_loss=0.2778, pruned_loss=0.09558, over 13602.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08504, over 50.00 utterances.], tot_loss[loss=0.3063, simple_loss=0.3659, pruned_loss=0.1233, over 2782491.81 frames. utt_duration=258.4 frames, utt_pad_proportion=0.0684, over 43317.31 utterances.], batch size: 50, lr: 4.60e-04
+2022-09-17 20:09:54,730 INFO [train.py:885] (1/2) Epoch 10, batch 4250, loss[loss=0.168, simple_loss=0.2253, pruned_loss=0.05529, over 12389.00 frames. utt_duration=1984 frames, utt_pad_proportion=0.1637, over 25.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.3671, pruned_loss=0.1244, over 2784594.69 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06784, over 43708.89 utterances.], batch size: 25, lr: 4.60e-04
+2022-09-17 20:10:24,563 INFO [train.py:885] (1/2) Epoch 10, batch 4300, loss[loss=0.4047, simple_loss=0.4583, pruned_loss=0.1755, over 13813.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06854, over 411.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.3686, pruned_loss=0.1249, over 2785153.86 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06688, over 44101.71 utterances.], batch size: 411, lr: 4.60e-04
+2022-09-17 20:10:53,760 INFO [train.py:885] (1/2) Epoch 10, batch 4350, loss[loss=0.2227, simple_loss=0.2815, pruned_loss=0.082, over 13879.00 frames. utt_duration=926.8 frames, utt_pad_proportion=0.06761, over 60.00 utterances.], tot_loss[loss=0.3091, simple_loss=0.3692, pruned_loss=0.1245, over 2783165.22 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06948, over 45052.44 utterances.], batch size: 60, lr: 4.60e-04
+2022-09-17 20:11:23,377 INFO [train.py:885] (1/2) Epoch 10, batch 4400, loss[loss=0.2468, simple_loss=0.3126, pruned_loss=0.09048, over 14088.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05495, over 98.00 utterances.], tot_loss[loss=0.3101, simple_loss=0.3706, pruned_loss=0.1248, over 2777956.58 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07279, over 46470.86 utterances.], batch size: 98, lr: 4.60e-04
+2022-09-17 20:11:53,153 INFO [train.py:885] (1/2) Epoch 10, batch 4450, loss[loss=0.2596, simple_loss=0.3277, pruned_loss=0.09576, over 14301.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.03991, over 120.00 utterances.], tot_loss[loss=0.3114, simple_loss=0.372, pruned_loss=0.1254, over 2780533.61 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07184, over 46494.85 utterances.], batch size: 120, lr: 4.60e-04
+2022-09-17 20:12:23,119 INFO [train.py:885] (1/2) Epoch 10, batch 4500, loss[loss=0.3159, simple_loss=0.4105, pruned_loss=0.1107, over 13577.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.08442, over 477.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3757, pruned_loss=0.1276, over 2781823.11 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07117, over 47616.10 utterances.], batch size: 477, lr: 4.60e-04
+2022-09-17 20:12:52,303 INFO [train.py:885] (1/2) Epoch 10, batch 4550, loss[loss=0.3932, simple_loss=0.4323, pruned_loss=0.177, over 14230.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04379, over 335.00 utterances.], tot_loss[loss=0.3114, simple_loss=0.3722, pruned_loss=0.1253, over 2782108.64 frames. utt_duration=242.1 frames, utt_pad_proportion=0.06985, over 46253.21 utterances.], batch size: 335, lr: 4.59e-04
+2022-09-17 20:13:21,802 INFO [train.py:885] (1/2) Epoch 10, batch 4600, loss[loss=0.4069, simple_loss=0.4696, pruned_loss=0.1721, over 13654.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.07376, over 478.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3721, pruned_loss=0.1252, over 2786224.41 frames. utt_duration=244.1 frames, utt_pad_proportion=0.06929, over 45940.71 utterances.], batch size: 478, lr: 4.59e-04
+2022-09-17 20:13:51,848 INFO [train.py:885] (1/2) Epoch 10, batch 4650, loss[loss=0.238, simple_loss=0.3112, pruned_loss=0.08245, over 14211.00 frames. utt_duration=640.1 frames, utt_pad_proportion=0.04468, over 89.00 utterances.], tot_loss[loss=0.3105, simple_loss=0.3709, pruned_loss=0.125, over 2783099.00 frames. utt_duration=243.5 frames, utt_pad_proportion=0.06916, over 46005.74 utterances.], batch size: 89, lr: 4.59e-04
+2022-09-17 20:14:21,492 INFO [train.py:885] (1/2) Epoch 10, batch 4700, loss[loss=0.2594, simple_loss=0.3314, pruned_loss=0.09367, over 14254.00 frames. utt_duration=440.1 frames, utt_pad_proportion=0.04108, over 130.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.3729, pruned_loss=0.1254, over 2786037.63 frames. utt_duration=240.9 frames, utt_pad_proportion=0.06824, over 46540.84 utterances.], batch size: 130, lr: 4.59e-04
+2022-09-17 20:14:50,212 INFO [train.py:885] (1/2) Epoch 10, batch 4750, loss[loss=0.3859, simple_loss=0.4391, pruned_loss=0.1663, over 14023.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05471, over 365.00 utterances.], tot_loss[loss=0.3141, simple_loss=0.3749, pruned_loss=0.1267, over 2785204.22 frames. utt_duration=239.3 frames, utt_pad_proportion=0.06964, over 46842.79 utterances.], batch size: 365, lr: 4.59e-04
+2022-09-17 20:15:19,596 INFO [train.py:885] (1/2) Epoch 10, batch 4800, loss[loss=0.2361, simple_loss=0.3026, pruned_loss=0.0848, over 13912.00 frames. utt_duration=928.9 frames, utt_pad_proportion=0.06457, over 60.00 utterances.], tot_loss[loss=0.3155, simple_loss=0.3771, pruned_loss=0.127, over 2781774.39 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07045, over 48236.87 utterances.], batch size: 60, lr: 4.59e-04
+2022-09-17 20:15:50,001 INFO [train.py:885] (1/2) Epoch 10, batch 4850, loss[loss=0.245, simple_loss=0.2941, pruned_loss=0.09791, over 14089.00 frames. utt_duration=714.9 frames, utt_pad_proportion=0.05438, over 79.00 utterances.], tot_loss[loss=0.318, simple_loss=0.3787, pruned_loss=0.1286, over 2782143.32 frames. utt_duration=231.5 frames, utt_pad_proportion=0.07117, over 48381.67 utterances.], batch size: 79, lr: 4.59e-04
+2022-09-17 20:16:19,333 INFO [train.py:885] (1/2) Epoch 10, batch 4900, loss[loss=0.3302, simple_loss=0.3938, pruned_loss=0.1333, over 14345.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03631, over 210.00 utterances.], tot_loss[loss=0.3131, simple_loss=0.3745, pruned_loss=0.1259, over 2780409.89 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07216, over 47297.62 utterances.], batch size: 210, lr: 4.59e-04
+2022-09-17 20:16:48,157 INFO [train.py:885] (1/2) Epoch 10, batch 4950, loss[loss=0.5081, simple_loss=0.5554, pruned_loss=0.2304, over 13117.00 frames. utt_duration=81.9 frames, utt_pad_proportion=0.1097, over 653.00 utterances.], tot_loss[loss=0.3175, simple_loss=0.3776, pruned_loss=0.1287, over 2784186.03 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07071, over 47659.62 utterances.], batch size: 653, lr: 4.59e-04
+2022-09-17 20:17:17,842 INFO [train.py:885] (1/2) Epoch 10, batch 5000, loss[loss=0.1758, simple_loss=0.2166, pruned_loss=0.06746, over 12930.00 frames. utt_duration=2070 frames, utt_pad_proportion=0.1283, over 25.00 utterances.], tot_loss[loss=0.3136, simple_loss=0.3737, pruned_loss=0.1267, over 2784652.53 frames. utt_duration=243.1 frames, utt_pad_proportion=0.06863, over 46097.47 utterances.], batch size: 25, lr: 4.59e-04
+2022-09-17 20:17:47,074 INFO [train.py:885] (1/2) Epoch 10, batch 5050, loss[loss=0.2043, simple_loss=0.2688, pruned_loss=0.06993, over 13723.00 frames. utt_duration=1099 frames, utt_pad_proportion=0.07554, over 50.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3761, pruned_loss=0.1283, over 2779786.92 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07097, over 47146.26 utterances.], batch size: 50, lr: 4.59e-04
+2022-09-17 20:18:16,758 INFO [train.py:885] (1/2) Epoch 10, batch 5100, loss[loss=0.2954, simple_loss=0.3638, pruned_loss=0.1135, over 14323.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04063, over 167.00 utterances.], tot_loss[loss=0.3141, simple_loss=0.3738, pruned_loss=0.1272, over 2780428.96 frames. utt_duration=241.3 frames, utt_pad_proportion=0.06928, over 46367.53 utterances.], batch size: 167, lr: 4.58e-04
+2022-09-17 20:18:45,976 INFO [train.py:885] (1/2) Epoch 10, batch 5150, loss[loss=0.4862, simple_loss=0.5442, pruned_loss=0.214, over 13204.00 frames. utt_duration=82.43 frames, utt_pad_proportion=0.104, over 653.00 utterances.], tot_loss[loss=0.3123, simple_loss=0.3719, pruned_loss=0.1264, over 2781257.63 frames. utt_duration=245.9 frames, utt_pad_proportion=0.0689, over 45513.83 utterances.], batch size: 653, lr: 4.58e-04
+2022-09-17 20:19:15,734 INFO [train.py:885] (1/2) Epoch 10, batch 5200, loss[loss=0.3615, simple_loss=0.4102, pruned_loss=0.1564, over 14306.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03785, over 180.00 utterances.], tot_loss[loss=0.3131, simple_loss=0.3728, pruned_loss=0.1267, over 2780540.43 frames. utt_duration=243.6 frames, utt_pad_proportion=0.06946, over 45940.38 utterances.], batch size: 180, lr: 4.58e-04
+2022-09-17 20:19:45,375 INFO [train.py:885] (1/2) Epoch 10, batch 5250, loss[loss=0.2692, simple_loss=0.3265, pruned_loss=0.106, over 14157.00 frames. utt_duration=579.4 frames, utt_pad_proportion=0.04704, over 98.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.369, pruned_loss=0.125, over 2777542.60 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06896, over 44361.98 utterances.], batch size: 98, lr: 4.58e-04
+2022-09-17 20:20:14,580 INFO [train.py:885] (1/2) Epoch 10, batch 5300, loss[loss=0.2712, simple_loss=0.3341, pruned_loss=0.1042, over 14312.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03949, over 120.00 utterances.], tot_loss[loss=0.3047, simple_loss=0.3638, pruned_loss=0.1228, over 2779029.37 frames. utt_duration=263 frames, utt_pad_proportion=0.06928, over 42502.53 utterances.], batch size: 120, lr: 4.58e-04
+2022-09-17 20:20:43,873 INFO [train.py:885] (1/2) Epoch 10, batch 5350, loss[loss=0.2654, simple_loss=0.3167, pruned_loss=0.1071, over 13478.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.09201, over 50.00 utterances.], tot_loss[loss=0.3075, simple_loss=0.3665, pruned_loss=0.1242, over 2780326.69 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06934, over 43596.89 utterances.], batch size: 50, lr: 4.58e-04
+2022-09-17 20:21:13,064 INFO [train.py:885] (1/2) Epoch 10, batch 5400, loss[loss=0.3989, simple_loss=0.4266, pruned_loss=0.1857, over 14366.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03781, over 167.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.3646, pruned_loss=0.1231, over 2782321.16 frames. utt_duration=260.9 frames, utt_pad_proportion=0.06882, over 42897.16 utterances.], batch size: 167, lr: 4.58e-04
+2022-09-17 20:21:44,021 INFO [train.py:885] (1/2) Epoch 10, batch 5450, loss[loss=0.2401, simple_loss=0.3113, pruned_loss=0.08448, over 14269.00 frames. utt_duration=477.1 frames, utt_pad_proportion=0.04197, over 120.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3637, pruned_loss=0.1224, over 2788836.74 frames. utt_duration=266.3 frames, utt_pad_proportion=0.06682, over 42115.51 utterances.], batch size: 120, lr: 4.58e-04
+2022-09-17 20:22:13,324 INFO [train.py:885] (1/2) Epoch 10, batch 5500, loss[loss=0.4173, simple_loss=0.4547, pruned_loss=0.19, over 14215.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04333, over 306.00 utterances.], tot_loss[loss=0.3066, simple_loss=0.3653, pruned_loss=0.124, over 2787022.58 frames. utt_duration=268.6 frames, utt_pad_proportion=0.06703, over 41729.57 utterances.], batch size: 306, lr: 4.58e-04
+2022-09-17 20:22:42,405 INFO [train.py:885] (1/2) Epoch 10, batch 5550, loss[loss=0.4121, simple_loss=0.451, pruned_loss=0.1866, over 14201.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04443, over 306.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.3654, pruned_loss=0.1241, over 2788201.09 frames. utt_duration=269.5 frames, utt_pad_proportion=0.06555, over 41610.57 utterances.], batch size: 306, lr: 4.58e-04
+2022-09-17 20:23:11,641 INFO [train.py:885] (1/2) Epoch 10, batch 5600, loss[loss=0.2822, simple_loss=0.344, pruned_loss=0.1102, over 14274.00 frames. utt_duration=477.2 frames, utt_pad_proportion=0.04178, over 120.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.3671, pruned_loss=0.1244, over 2785821.27 frames. utt_duration=264.5 frames, utt_pad_proportion=0.06711, over 42371.79 utterances.], batch size: 120, lr: 4.57e-04
+2022-09-17 20:23:40,294 INFO [train.py:885] (1/2) Epoch 10, batch 5650, loss[loss=0.3135, simple_loss=0.3806, pruned_loss=0.1232, over 14352.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03567, over 210.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3656, pruned_loss=0.1229, over 2786342.34 frames. utt_duration=265.4 frames, utt_pad_proportion=0.06614, over 42229.54 utterances.], batch size: 210, lr: 4.57e-04
+2022-09-17 20:24:09,983 INFO [train.py:885] (1/2) Epoch 10, batch 5700, loss[loss=0.2756, simple_loss=0.3376, pruned_loss=0.1067, over 14310.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03904, over 120.00 utterances.], tot_loss[loss=0.3051, simple_loss=0.3658, pruned_loss=0.1222, over 2787669.51 frames. utt_duration=261.9 frames, utt_pad_proportion=0.06579, over 42811.12 utterances.], batch size: 120, lr: 4.57e-04
+2022-09-17 20:24:40,142 INFO [train.py:885] (1/2) Epoch 10, batch 5750, loss[loss=0.2165, simple_loss=0.2817, pruned_loss=0.07561, over 14037.00 frames. utt_duration=803.5 frames, utt_pad_proportion=0.06135, over 70.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.365, pruned_loss=0.1217, over 2785627.12 frames. utt_duration=263.4 frames, utt_pad_proportion=0.06695, over 42536.15 utterances.], batch size: 70, lr: 4.57e-04
+2022-09-17 20:25:09,674 INFO [train.py:885] (1/2) Epoch 10, batch 5800, loss[loss=0.3389, simple_loss=0.4052, pruned_loss=0.1362, over 14298.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03922, over 226.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3635, pruned_loss=0.122, over 2786214.43 frames. utt_duration=270.9 frames, utt_pad_proportion=0.06538, over 41367.48 utterances.], batch size: 226, lr: 4.57e-04
+2022-09-17 20:25:39,263 INFO [train.py:885] (1/2) Epoch 10, batch 5850, loss[loss=0.2934, simple_loss=0.3643, pruned_loss=0.1113, over 14314.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03862, over 195.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3674, pruned_loss=0.1239, over 2785206.78 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06745, over 43167.64 utterances.], batch size: 195, lr: 4.57e-04
+2022-09-17 20:26:08,853 INFO [train.py:885] (1/2) Epoch 10, batch 5900, loss[loss=0.4176, simple_loss=0.4679, pruned_loss=0.1837, over 13971.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05792, over 365.00 utterances.], tot_loss[loss=0.3094, simple_loss=0.3697, pruned_loss=0.1245, over 2780619.88 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07156, over 44792.32 utterances.], batch size: 365, lr: 4.57e-04
+2022-09-17 20:26:38,162 INFO [train.py:885] (1/2) Epoch 10, batch 5950, loss[loss=0.1686, simple_loss=0.2419, pruned_loss=0.04764, over 13237.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1088, over 33.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3679, pruned_loss=0.1233, over 2782511.58 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06962, over 44401.36 utterances.], batch size: 33, lr: 4.57e-04
+2022-09-17 20:27:08,029 INFO [train.py:885] (1/2) Epoch 10, batch 6000, loss[loss=0.3461, simple_loss=0.4181, pruned_loss=0.1371, over 13947.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.0589, over 365.00 utterances.], tot_loss[loss=0.3141, simple_loss=0.3742, pruned_loss=0.127, over 2777991.17 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07244, over 47062.86 utterances.], batch size: 365, lr: 4.57e-04
+2022-09-17 20:27:08,029 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 20:27:12,704 INFO [train.py:914] (1/2) Epoch 10, validation: loss=0.2045, simple_loss=0.2829, pruned_loss=0.0631, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 20:27:42,402 INFO [train.py:885] (1/2) Epoch 10, batch 6050, loss[loss=0.261, simple_loss=0.3284, pruned_loss=0.09683, over 14345.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.03818, over 154.00 utterances.], tot_loss[loss=0.3164, simple_loss=0.3769, pruned_loss=0.128, over 2776055.13 frames. utt_duration=230.7 frames, utt_pad_proportion=0.07348, over 48441.37 utterances.], batch size: 154, lr: 4.57e-04
+2022-09-17 20:28:11,717 INFO [train.py:885] (1/2) Epoch 10, batch 6100, loss[loss=0.2922, simple_loss=0.3646, pruned_loss=0.1099, over 14351.00 frames. utt_duration=345 frames, utt_pad_proportion=0.0389, over 167.00 utterances.], tot_loss[loss=0.3156, simple_loss=0.3756, pruned_loss=0.1278, over 2776584.81 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07309, over 47734.98 utterances.], batch size: 167, lr: 4.56e-04
+2022-09-17 20:28:41,267 INFO [train.py:885] (1/2) Epoch 10, batch 6150, loss[loss=0.39, simple_loss=0.4719, pruned_loss=0.1541, over 13584.00 frames. utt_duration=98.37 frames, utt_pad_proportion=0.08066, over 560.00 utterances.], tot_loss[loss=0.3134, simple_loss=0.3738, pruned_loss=0.1266, over 2771394.79 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07579, over 47839.75 utterances.], batch size: 560, lr: 4.56e-04
+2022-09-17 20:29:10,535 INFO [train.py:885] (1/2) Epoch 10, batch 6200, loss[loss=0.2281, simple_loss=0.2979, pruned_loss=0.07911, over 13958.00 frames. utt_duration=932.1 frames, utt_pad_proportion=0.06325, over 60.00 utterances.], tot_loss[loss=0.3134, simple_loss=0.3734, pruned_loss=0.1267, over 2776289.04 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07369, over 47127.99 utterances.], batch size: 60, lr: 4.56e-04
+2022-09-17 20:29:40,314 INFO [train.py:885] (1/2) Epoch 10, batch 6250, loss[loss=0.3615, simple_loss=0.4402, pruned_loss=0.1413, over 13826.00 frames. utt_duration=136.1 frames, utt_pad_proportion=0.06801, over 411.00 utterances.], tot_loss[loss=0.3174, simple_loss=0.3769, pruned_loss=0.1289, over 2776658.77 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07423, over 47838.82 utterances.], batch size: 411, lr: 4.56e-04
+2022-09-17 20:30:09,537 INFO [train.py:885] (1/2) Epoch 10, batch 6300, loss[loss=0.2513, simple_loss=0.3099, pruned_loss=0.0963, over 14063.00 frames. utt_duration=713.3 frames, utt_pad_proportion=0.05649, over 79.00 utterances.], tot_loss[loss=0.3183, simple_loss=0.3767, pruned_loss=0.1299, over 2774721.78 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07359, over 47086.85 utterances.], batch size: 79, lr: 4.56e-04
+2022-09-17 20:30:39,411 INFO [train.py:885] (1/2) Epoch 10, batch 6350, loss[loss=0.2098, simple_loss=0.2865, pruned_loss=0.06655, over 14062.00 frames. utt_duration=713.5 frames, utt_pad_proportion=0.05494, over 79.00 utterances.], tot_loss[loss=0.3211, simple_loss=0.3788, pruned_loss=0.1317, over 2774279.35 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07617, over 47817.24 utterances.], batch size: 79, lr: 4.56e-04
+2022-09-17 20:31:08,493 INFO [train.py:885] (1/2) Epoch 10, batch 6400, loss[loss=0.186, simple_loss=0.2474, pruned_loss=0.06225, over 13586.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.08791, over 42.00 utterances.], tot_loss[loss=0.3136, simple_loss=0.3717, pruned_loss=0.1277, over 2777505.63 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07326, over 45136.76 utterances.], batch size: 42, lr: 4.56e-04
+2022-09-17 20:31:38,543 INFO [train.py:885] (1/2) Epoch 10, batch 6450, loss[loss=0.2149, simple_loss=0.2888, pruned_loss=0.07049, over 13826.00 frames. utt_duration=1318 frames, utt_pad_proportion=0.06756, over 42.00 utterances.], tot_loss[loss=0.3199, simple_loss=0.3782, pruned_loss=0.1308, over 2779562.80 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07329, over 47776.39 utterances.], batch size: 42, lr: 4.56e-04
+2022-09-17 20:32:08,228 INFO [train.py:885] (1/2) Epoch 10, batch 6500, loss[loss=0.3588, simple_loss=0.4118, pruned_loss=0.1529, over 14207.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04432, over 306.00 utterances.], tot_loss[loss=0.3212, simple_loss=0.3792, pruned_loss=0.1316, over 2780045.14 frames. utt_duration=234 frames, utt_pad_proportion=0.07333, over 47823.11 utterances.], batch size: 306, lr: 4.56e-04
+2022-09-17 20:32:37,666 INFO [train.py:885] (1/2) Epoch 10, batch 6550, loss[loss=0.2843, simple_loss=0.3471, pruned_loss=0.1108, over 14296.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.03883, over 130.00 utterances.], tot_loss[loss=0.3219, simple_loss=0.3807, pruned_loss=0.1316, over 2778553.81 frames. utt_duration=227.5 frames, utt_pad_proportion=0.07397, over 49163.77 utterances.], batch size: 130, lr: 4.56e-04
+2022-09-17 20:33:07,238 INFO [train.py:885] (1/2) Epoch 10, batch 6600, loss[loss=0.2103, simple_loss=0.2841, pruned_loss=0.06823, over 14079.00 frames. utt_duration=576 frames, utt_pad_proportion=0.0542, over 98.00 utterances.], tot_loss[loss=0.3213, simple_loss=0.3809, pruned_loss=0.1309, over 2777234.29 frames. utt_duration=224.2 frames, utt_pad_proportion=0.07504, over 49883.32 utterances.], batch size: 98, lr: 4.56e-04
+2022-09-17 20:33:36,800 INFO [train.py:885] (1/2) Epoch 10, batch 6650, loss[loss=0.362, simple_loss=0.4221, pruned_loss=0.1509, over 13970.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05787, over 365.00 utterances.], tot_loss[loss=0.3207, simple_loss=0.3809, pruned_loss=0.1303, over 2777545.07 frames. utt_duration=224.3 frames, utt_pad_proportion=0.07428, over 49866.37 utterances.], batch size: 365, lr: 4.55e-04
+2022-09-17 20:34:05,946 INFO [train.py:885] (1/2) Epoch 10, batch 6700, loss[loss=0.5782, simple_loss=0.6325, pruned_loss=0.2619, over 12499.00 frames. utt_duration=63.3 frames, utt_pad_proportion=0.1446, over 810.00 utterances.], tot_loss[loss=0.3173, simple_loss=0.3769, pruned_loss=0.1288, over 2775629.52 frames. utt_duration=231.3 frames, utt_pad_proportion=0.07405, over 48306.61 utterances.], batch size: 810, lr: 4.55e-04
+2022-09-17 20:34:35,245 INFO [train.py:885] (1/2) Epoch 10, batch 6750, loss[loss=0.336, simple_loss=0.4002, pruned_loss=0.1359, over 14316.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03864, over 283.00 utterances.], tot_loss[loss=0.3176, simple_loss=0.3773, pruned_loss=0.1289, over 2777180.13 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07293, over 47681.61 utterances.], batch size: 283, lr: 4.55e-04
+2022-09-17 20:35:05,464 INFO [train.py:885] (1/2) Epoch 10, batch 6800, loss[loss=0.2922, simple_loss=0.3439, pruned_loss=0.1202, over 14339.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.0394, over 120.00 utterances.], tot_loss[loss=0.3159, simple_loss=0.3762, pruned_loss=0.1278, over 2781561.15 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07151, over 48028.42 utterances.], batch size: 120, lr: 4.55e-04
+2022-09-17 20:35:34,439 INFO [train.py:885] (1/2) Epoch 10, batch 6850, loss[loss=0.3249, simple_loss=0.4073, pruned_loss=0.1212, over 13960.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05872, over 365.00 utterances.], tot_loss[loss=0.3146, simple_loss=0.3747, pruned_loss=0.1273, over 2781253.95 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07129, over 47336.01 utterances.], batch size: 365, lr: 4.55e-04
+2022-09-17 20:36:03,845 INFO [train.py:885] (1/2) Epoch 10, batch 6900, loss[loss=0.3009, simple_loss=0.3588, pruned_loss=0.1215, over 14296.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.04028, over 130.00 utterances.], tot_loss[loss=0.3139, simple_loss=0.374, pruned_loss=0.1268, over 2782958.70 frames. utt_duration=239.7 frames, utt_pad_proportion=0.06975, over 46735.96 utterances.], batch size: 130, lr: 4.55e-04
+2022-09-17 20:36:32,662 INFO [train.py:885] (1/2) Epoch 10, batch 6950, loss[loss=0.2206, simple_loss=0.2871, pruned_loss=0.07702, over 14109.00 frames. utt_duration=715.7 frames, utt_pad_proportion=0.05211, over 79.00 utterances.], tot_loss[loss=0.3138, simple_loss=0.3741, pruned_loss=0.1268, over 2780831.21 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07142, over 47171.12 utterances.], batch size: 79, lr: 4.55e-04
+2022-09-17 20:37:01,883 INFO [train.py:885] (1/2) Epoch 10, batch 7000, loss[loss=0.3732, simple_loss=0.4116, pruned_loss=0.1674, over 14284.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.04087, over 283.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3676, pruned_loss=0.1235, over 2781750.42 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07098, over 44978.72 utterances.], batch size: 283, lr: 4.55e-04
+2022-09-17 20:37:31,878 INFO [train.py:885] (1/2) Epoch 10, batch 7050, loss[loss=0.2193, simple_loss=0.2741, pruned_loss=0.08226, over 14037.00 frames. utt_duration=803.6 frames, utt_pad_proportion=0.06125, over 70.00 utterances.], tot_loss[loss=0.3096, simple_loss=0.3697, pruned_loss=0.1247, over 2783106.08 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07173, over 45890.40 utterances.], batch size: 70, lr: 4.55e-04
+2022-09-17 20:38:01,665 INFO [train.py:885] (1/2) Epoch 10, batch 7100, loss[loss=0.177, simple_loss=0.2404, pruned_loss=0.05679, over 14080.00 frames. utt_duration=714.4 frames, utt_pad_proportion=0.05505, over 79.00 utterances.], tot_loss[loss=0.3082, simple_loss=0.3682, pruned_loss=0.1242, over 2778902.88 frames. utt_duration=245.8 frames, utt_pad_proportion=0.0726, over 45503.56 utterances.], batch size: 79, lr: 4.55e-04
+2022-09-17 20:38:30,753 INFO [train.py:885] (1/2) Epoch 10, batch 7150, loss[loss=0.3243, simple_loss=0.4251, pruned_loss=0.1117, over 13631.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08028, over 477.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.3683, pruned_loss=0.124, over 2777292.45 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07459, over 45519.53 utterances.], batch size: 477, lr: 4.55e-04
+2022-09-17 20:39:00,250 INFO [train.py:885] (1/2) Epoch 10, batch 7200, loss[loss=0.1571, simple_loss=0.2123, pruned_loss=0.05092, over 13174.00 frames. utt_duration=1286 frames, utt_pad_proportion=0.1016, over 41.00 utterances.], tot_loss[loss=0.3115, simple_loss=0.3711, pruned_loss=0.126, over 2780967.01 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07317, over 45708.94 utterances.], batch size: 41, lr: 4.54e-04
+2022-09-17 20:39:29,633 INFO [train.py:885] (1/2) Epoch 10, batch 7250, loss[loss=0.2639, simple_loss=0.3213, pruned_loss=0.1033, over 14013.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.0587, over 79.00 utterances.], tot_loss[loss=0.3106, simple_loss=0.3704, pruned_loss=0.1254, over 2780798.67 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07281, over 45542.17 utterances.], batch size: 79, lr: 4.54e-04
+2022-09-17 20:39:59,437 INFO [train.py:885] (1/2) Epoch 10, batch 7300, loss[loss=0.4058, simple_loss=0.4947, pruned_loss=0.1584, over 13169.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1062, over 653.00 utterances.], tot_loss[loss=0.3113, simple_loss=0.3712, pruned_loss=0.1257, over 2777139.71 frames. utt_duration=240 frames, utt_pad_proportion=0.07583, over 46577.13 utterances.], batch size: 653, lr: 4.54e-04
+2022-09-17 20:40:28,405 INFO [train.py:885] (1/2) Epoch 10, batch 7350, loss[loss=0.3177, simple_loss=0.3821, pruned_loss=0.1267, over 14330.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03733, over 195.00 utterances.], tot_loss[loss=0.3101, simple_loss=0.3699, pruned_loss=0.1251, over 2783917.59 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07142, over 45647.44 utterances.], batch size: 195, lr: 4.54e-04
+2022-09-17 20:40:57,675 INFO [train.py:885] (1/2) Epoch 10, batch 7400, loss[loss=0.2873, simple_loss=0.3515, pruned_loss=0.1116, over 14314.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.03784, over 154.00 utterances.], tot_loss[loss=0.3099, simple_loss=0.3692, pruned_loss=0.1253, over 2779157.92 frames. utt_duration=250.4 frames, utt_pad_proportion=0.074, over 44666.31 utterances.], batch size: 154, lr: 4.54e-04
+2022-09-17 20:41:26,840 INFO [train.py:885] (1/2) Epoch 10, batch 7450, loss[loss=0.362, simple_loss=0.4359, pruned_loss=0.144, over 13991.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05615, over 365.00 utterances.], tot_loss[loss=0.3114, simple_loss=0.3712, pruned_loss=0.1258, over 2776024.85 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07461, over 46506.92 utterances.], batch size: 365, lr: 4.54e-04
+2022-09-17 20:41:56,544 INFO [train.py:885] (1/2) Epoch 10, batch 7500, loss[loss=0.2934, simple_loss=0.3723, pruned_loss=0.1072, over 14342.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03603, over 195.00 utterances.], tot_loss[loss=0.3067, simple_loss=0.3666, pruned_loss=0.1234, over 2775281.94 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07204, over 44194.07 utterances.], batch size: 195, lr: 4.54e-04
+2022-09-17 20:42:26,260 INFO [train.py:885] (1/2) Epoch 10, batch 7550, loss[loss=0.2153, simple_loss=0.2736, pruned_loss=0.07849, over 13784.00 frames. utt_duration=1314 frames, utt_pad_proportion=0.07114, over 42.00 utterances.], tot_loss[loss=0.3036, simple_loss=0.3636, pruned_loss=0.1218, over 2768948.65 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07284, over 43870.78 utterances.], batch size: 42, lr: 4.54e-04
+2022-09-17 20:42:55,856 INFO [train.py:885] (1/2) Epoch 10, batch 7600, loss[loss=0.2569, simple_loss=0.3269, pruned_loss=0.09339, over 14321.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03834, over 120.00 utterances.], tot_loss[loss=0.308, simple_loss=0.3683, pruned_loss=0.1238, over 2771622.09 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07573, over 45646.20 utterances.], batch size: 120, lr: 4.54e-04
+2022-09-17 20:43:25,184 INFO [train.py:885] (1/2) Epoch 10, batch 7650, loss[loss=0.3672, simple_loss=0.4116, pruned_loss=0.1613, over 14321.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03857, over 283.00 utterances.], tot_loss[loss=0.3065, simple_loss=0.3667, pruned_loss=0.1231, over 2772447.71 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07373, over 45053.65 utterances.], batch size: 283, lr: 4.54e-04
+2022-09-17 20:43:54,522 INFO [train.py:885] (1/2) Epoch 10, batch 7700, loss[loss=0.3519, simple_loss=0.4032, pruned_loss=0.1503, over 14340.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03423, over 244.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3682, pruned_loss=0.1232, over 2773776.65 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07349, over 46082.74 utterances.], batch size: 244, lr: 4.53e-04
+2022-09-17 20:44:24,149 INFO [train.py:885] (1/2) Epoch 10, batch 7750, loss[loss=0.3203, simple_loss=0.3807, pruned_loss=0.1299, over 14328.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.037, over 154.00 utterances.], tot_loss[loss=0.3116, simple_loss=0.3728, pruned_loss=0.1252, over 2770638.12 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07432, over 48150.86 utterances.], batch size: 154, lr: 4.53e-04
+2022-09-17 20:44:52,868 INFO [train.py:885] (1/2) Epoch 10, batch 7800, loss[loss=0.344, simple_loss=0.4009, pruned_loss=0.1435, over 14315.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03953, over 262.00 utterances.], tot_loss[loss=0.3117, simple_loss=0.3728, pruned_loss=0.1253, over 2775247.76 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07271, over 47518.58 utterances.], batch size: 262, lr: 4.53e-04
+2022-09-17 20:45:22,594 INFO [train.py:885] (1/2) Epoch 10, batch 7850, loss[loss=0.3586, simple_loss=0.4079, pruned_loss=0.1547, over 14344.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.037, over 283.00 utterances.], tot_loss[loss=0.3129, simple_loss=0.3733, pruned_loss=0.1263, over 2777780.12 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07292, over 47532.21 utterances.], batch size: 283, lr: 4.53e-04
+2022-09-17 20:45:52,235 INFO [train.py:885] (1/2) Epoch 10, batch 7900, loss[loss=0.1801, simple_loss=0.2351, pruned_loss=0.06255, over 12776.00 frames. utt_duration=2046 frames, utt_pad_proportion=0.131, over 25.00 utterances.], tot_loss[loss=0.3161, simple_loss=0.3756, pruned_loss=0.1283, over 2774642.68 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07459, over 48079.51 utterances.], batch size: 25, lr: 4.53e-04
+2022-09-17 20:46:21,111 INFO [train.py:885] (1/2) Epoch 10, batch 7950, loss[loss=0.3792, simple_loss=0.4141, pruned_loss=0.1721, over 14216.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04375, over 306.00 utterances.], tot_loss[loss=0.3181, simple_loss=0.3768, pruned_loss=0.1297, over 2780343.25 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07226, over 47479.47 utterances.], batch size: 306, lr: 4.53e-04
+2022-09-17 20:46:51,303 INFO [train.py:885] (1/2) Epoch 10, batch 8000, loss[loss=0.593, simple_loss=0.6479, pruned_loss=0.269, over 12401.00 frames. utt_duration=62.82 frames, utt_pad_proportion=0.151, over 810.00 utterances.], tot_loss[loss=0.3191, simple_loss=0.3784, pruned_loss=0.13, over 2783859.92 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07137, over 48129.91 utterances.], batch size: 810, lr: 4.53e-04
+2022-09-17 20:47:20,771 INFO [train.py:885] (1/2) Epoch 10, batch 8050, loss[loss=0.4312, simple_loss=0.4523, pruned_loss=0.2051, over 14271.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04046, over 180.00 utterances.], tot_loss[loss=0.3172, simple_loss=0.3768, pruned_loss=0.1288, over 2786663.89 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07057, over 47788.51 utterances.], batch size: 180, lr: 4.53e-04
+2022-09-17 20:47:49,851 INFO [train.py:885] (1/2) Epoch 10, batch 8100, loss[loss=0.2425, simple_loss=0.2994, pruned_loss=0.09282, over 13944.00 frames. utt_duration=931.1 frames, utt_pad_proportion=0.06137, over 60.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3744, pruned_loss=0.1282, over 2784603.71 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07026, over 46469.54 utterances.], batch size: 60, lr: 4.53e-04
+2022-09-17 20:48:19,398 INFO [train.py:885] (1/2) Epoch 10, batch 8150, loss[loss=0.292, simple_loss=0.3439, pruned_loss=0.1201, over 14313.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03744, over 130.00 utterances.], tot_loss[loss=0.3151, simple_loss=0.3741, pruned_loss=0.128, over 2783390.43 frames. utt_duration=238 frames, utt_pad_proportion=0.07269, over 47075.74 utterances.], batch size: 130, lr: 4.53e-04
+2022-09-17 20:48:48,920 INFO [train.py:885] (1/2) Epoch 10, batch 8200, loss[loss=0.2838, simple_loss=0.356, pruned_loss=0.1058, over 14287.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.04109, over 130.00 utterances.], tot_loss[loss=0.3142, simple_loss=0.3727, pruned_loss=0.1278, over 2779690.78 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07331, over 46545.88 utterances.], batch size: 130, lr: 4.53e-04
+2022-09-17 20:49:18,713 INFO [train.py:885] (1/2) Epoch 10, batch 8250, loss[loss=0.3153, simple_loss=0.3851, pruned_loss=0.1227, over 14296.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04075, over 154.00 utterances.], tot_loss[loss=0.3143, simple_loss=0.3726, pruned_loss=0.128, over 2778111.24 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07384, over 45919.17 utterances.], batch size: 154, lr: 4.52e-04
+2022-09-17 20:49:47,687 INFO [train.py:885] (1/2) Epoch 10, batch 8300, loss[loss=0.3603, simple_loss=0.4057, pruned_loss=0.1574, over 14381.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03417, over 210.00 utterances.], tot_loss[loss=0.3091, simple_loss=0.3676, pruned_loss=0.1253, over 2777761.99 frames. utt_duration=253.8 frames, utt_pad_proportion=0.07104, over 44033.25 utterances.], batch size: 210, lr: 4.52e-04
+2022-09-17 20:50:16,672 INFO [train.py:885] (1/2) Epoch 10, batch 8350, loss[loss=0.2063, simple_loss=0.2685, pruned_loss=0.07204, over 13649.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.07896, over 50.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.3673, pruned_loss=0.1248, over 2779722.02 frames. utt_duration=253 frames, utt_pad_proportion=0.07012, over 44204.31 utterances.], batch size: 50, lr: 4.52e-04
+2022-09-17 20:50:46,414 INFO [train.py:885] (1/2) Epoch 10, batch 8400, loss[loss=0.5686, simple_loss=0.6282, pruned_loss=0.2545, over 12448.00 frames. utt_duration=62.99 frames, utt_pad_proportion=0.1488, over 810.00 utterances.], tot_loss[loss=0.3061, simple_loss=0.3655, pruned_loss=0.1233, over 2776727.70 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07127, over 43790.34 utterances.], batch size: 810, lr: 4.52e-04
+2022-09-17 20:51:16,009 INFO [train.py:885] (1/2) Epoch 10, batch 8450, loss[loss=0.3425, simple_loss=0.402, pruned_loss=0.1415, over 14304.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.0395, over 283.00 utterances.], tot_loss[loss=0.3091, simple_loss=0.3689, pruned_loss=0.1246, over 2779998.95 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07022, over 44909.38 utterances.], batch size: 283, lr: 4.52e-04
+2022-09-17 20:51:45,958 INFO [train.py:885] (1/2) Epoch 10, batch 8500, loss[loss=0.2109, simple_loss=0.2845, pruned_loss=0.06864, over 14005.00 frames. utt_duration=710.6 frames, utt_pad_proportion=0.05886, over 79.00 utterances.], tot_loss[loss=0.3067, simple_loss=0.3663, pruned_loss=0.1235, over 2776707.85 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07174, over 43920.60 utterances.], batch size: 79, lr: 4.52e-04
+2022-09-17 20:52:14,980 INFO [train.py:885] (1/2) Epoch 10, batch 8550, loss[loss=0.5549, simple_loss=0.6213, pruned_loss=0.2443, over 12487.00 frames. utt_duration=63.18 frames, utt_pad_proportion=0.1461, over 811.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3638, pruned_loss=0.1219, over 2779226.61 frames. utt_duration=261.4 frames, utt_pad_proportion=0.07014, over 42765.80 utterances.], batch size: 811, lr: 4.52e-04
+2022-09-17 20:52:44,372 INFO [train.py:885] (1/2) Epoch 10, batch 8600, loss[loss=0.2524, simple_loss=0.2988, pruned_loss=0.103, over 13877.00 frames. utt_duration=805.8 frames, utt_pad_proportion=0.05971, over 69.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3614, pruned_loss=0.1205, over 2777988.62 frames. utt_duration=265.9 frames, utt_pad_proportion=0.06962, over 42023.51 utterances.], batch size: 69, lr: 4.52e-04
+2022-09-17 20:53:13,937 INFO [train.py:885] (1/2) Epoch 10, batch 8650, loss[loss=0.2187, simple_loss=0.268, pruned_loss=0.08472, over 12889.00 frames. utt_duration=2064 frames, utt_pad_proportion=0.1174, over 25.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3617, pruned_loss=0.1199, over 2780942.50 frames. utt_duration=263.8 frames, utt_pad_proportion=0.06728, over 42401.13 utterances.], batch size: 25, lr: 4.52e-04
+2022-09-17 20:53:43,447 INFO [train.py:885] (1/2) Epoch 10, batch 8700, loss[loss=0.6253, simple_loss=0.6646, pruned_loss=0.293, over 12493.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1447, over 810.00 utterances.], tot_loss[loss=0.3108, simple_loss=0.3709, pruned_loss=0.1253, over 2782023.28 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07039, over 45729.77 utterances.], batch size: 810, lr: 4.52e-04
+2022-09-17 20:54:13,172 INFO [train.py:885] (1/2) Epoch 10, batch 8750, loss[loss=0.1697, simple_loss=0.2174, pruned_loss=0.06099, over 13447.00 frames. utt_duration=1313 frames, utt_pad_proportion=0.0829, over 41.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3723, pruned_loss=0.1266, over 2781684.21 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07094, over 45864.32 utterances.], batch size: 41, lr: 4.52e-04
+2022-09-17 20:54:42,509 INFO [train.py:885] (1/2) Epoch 10, batch 8800, loss[loss=0.3243, simple_loss=0.4075, pruned_loss=0.1205, over 13789.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07014, over 411.00 utterances.], tot_loss[loss=0.3153, simple_loss=0.3753, pruned_loss=0.1277, over 2782951.26 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07009, over 47360.88 utterances.], batch size: 411, lr: 4.51e-04
+2022-09-17 20:55:12,111 INFO [train.py:885] (1/2) Epoch 10, batch 8850, loss[loss=0.286, simple_loss=0.3357, pruned_loss=0.1181, over 14360.00 frames. utt_duration=480 frames, utt_pad_proportion=0.03611, over 120.00 utterances.], tot_loss[loss=0.3157, simple_loss=0.3748, pruned_loss=0.1284, over 2785276.48 frames. utt_duration=241.6 frames, utt_pad_proportion=0.06841, over 46394.53 utterances.], batch size: 120, lr: 4.51e-04
+2022-09-17 20:55:41,244 INFO [train.py:885] (1/2) Epoch 10, batch 8900, loss[loss=0.2436, simple_loss=0.2884, pruned_loss=0.09937, over 13453.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.095, over 50.00 utterances.], tot_loss[loss=0.3122, simple_loss=0.3719, pruned_loss=0.1262, over 2779917.10 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07093, over 46084.38 utterances.], batch size: 50, lr: 4.51e-04
+2022-09-17 20:56:10,981 INFO [train.py:885] (1/2) Epoch 10, batch 8950, loss[loss=0.2091, simple_loss=0.2804, pruned_loss=0.06886, over 13883.00 frames. utt_duration=927.1 frames, utt_pad_proportion=0.05975, over 60.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3715, pruned_loss=0.1255, over 2780202.43 frames. utt_duration=244 frames, utt_pad_proportion=0.0702, over 45861.98 utterances.], batch size: 60, lr: 4.51e-04
+2022-09-17 20:56:40,623 INFO [train.py:885] (1/2) Epoch 10, batch 9000, loss[loss=0.15, simple_loss=0.2033, pruned_loss=0.04833, over 12120.00 frames. utt_duration=2022 frames, utt_pad_proportion=0.1708, over 24.00 utterances.], tot_loss[loss=0.3144, simple_loss=0.3747, pruned_loss=0.1271, over 2776344.77 frames. utt_duration=238.3 frames, utt_pad_proportion=0.0711, over 46902.73 utterances.], batch size: 24, lr: 4.51e-04
+2022-09-17 20:56:40,624 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 20:56:44,766 INFO [train.py:914] (1/2) Epoch 10, validation: loss=0.2048, simple_loss=0.2816, pruned_loss=0.06403, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 20:57:14,369 INFO [train.py:885] (1/2) Epoch 10, batch 9050, loss[loss=0.3054, simple_loss=0.3712, pruned_loss=0.1198, over 14308.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04042, over 262.00 utterances.], tot_loss[loss=0.3099, simple_loss=0.3697, pruned_loss=0.125, over 2783757.82 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06788, over 44222.94 utterances.], batch size: 262, lr: 4.51e-04
+2022-09-17 20:57:43,583 INFO [train.py:885] (1/2) Epoch 10, batch 9100, loss[loss=0.3031, simple_loss=0.3413, pruned_loss=0.1325, over 13980.00 frames. utt_duration=709.4 frames, utt_pad_proportion=0.06162, over 79.00 utterances.], tot_loss[loss=0.3097, simple_loss=0.3696, pruned_loss=0.1249, over 2784465.01 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06733, over 44562.31 utterances.], batch size: 79, lr: 4.51e-04
+2022-09-17 20:58:13,353 INFO [train.py:885] (1/2) Epoch 10, batch 9150, loss[loss=0.5772, simple_loss=0.6343, pruned_loss=0.26, over 12478.00 frames. utt_duration=63.13 frames, utt_pad_proportion=0.1469, over 810.00 utterances.], tot_loss[loss=0.3098, simple_loss=0.3698, pruned_loss=0.1249, over 2785649.85 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06815, over 44568.15 utterances.], batch size: 810, lr: 4.51e-04
+2022-09-17 20:58:42,305 INFO [train.py:885] (1/2) Epoch 10, batch 9200, loss[loss=0.2095, simple_loss=0.2709, pruned_loss=0.07405, over 14035.00 frames. utt_duration=712.2 frames, utt_pad_proportion=0.05792, over 79.00 utterances.], tot_loss[loss=0.3098, simple_loss=0.37, pruned_loss=0.1248, over 2787916.04 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06736, over 44656.15 utterances.], batch size: 79, lr: 4.51e-04
+2022-09-17 20:59:11,888 INFO [train.py:885] (1/2) Epoch 10, batch 9250, loss[loss=0.1566, simple_loss=0.2073, pruned_loss=0.0529, over 12916.00 frames. utt_duration=2068 frames, utt_pad_proportion=0.1227, over 25.00 utterances.], tot_loss[loss=0.3101, simple_loss=0.3704, pruned_loss=0.1249, over 2785244.70 frames. utt_duration=243.5 frames, utt_pad_proportion=0.06955, over 46024.07 utterances.], batch size: 25, lr: 4.51e-04
+2022-09-17 20:59:41,927 INFO [train.py:885] (1/2) Epoch 10, batch 9300, loss[loss=0.3517, simple_loss=0.407, pruned_loss=0.1483, over 14336.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03694, over 210.00 utterances.], tot_loss[loss=0.3108, simple_loss=0.3719, pruned_loss=0.1249, over 2779738.86 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07285, over 47879.22 utterances.], batch size: 210, lr: 4.51e-04
+2022-09-17 21:00:11,805 INFO [train.py:885] (1/2) Epoch 10, batch 9350, loss[loss=0.338, simple_loss=0.3893, pruned_loss=0.1433, over 14301.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04143, over 154.00 utterances.], tot_loss[loss=0.3101, simple_loss=0.3715, pruned_loss=0.1243, over 2779934.45 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07419, over 47240.56 utterances.], batch size: 154, lr: 4.50e-04
+2022-09-17 21:00:41,420 INFO [train.py:885] (1/2) Epoch 10, batch 9400, loss[loss=0.2509, simple_loss=0.3197, pruned_loss=0.09101, over 14291.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04198, over 154.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3721, pruned_loss=0.1251, over 2782946.18 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07148, over 46902.34 utterances.], batch size: 154, lr: 4.50e-04
+2022-09-17 21:01:10,868 INFO [train.py:885] (1/2) Epoch 10, batch 9450, loss[loss=0.2455, simple_loss=0.3109, pruned_loss=0.09007, over 14187.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04412, over 109.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3669, pruned_loss=0.1224, over 2782857.70 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06901, over 44372.76 utterances.], batch size: 109, lr: 4.50e-04
+2022-09-17 21:01:40,280 INFO [train.py:885] (1/2) Epoch 10, batch 9500, loss[loss=0.3252, simple_loss=0.3844, pruned_loss=0.133, over 14306.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03973, over 262.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3661, pruned_loss=0.1228, over 2783184.30 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06845, over 44098.18 utterances.], batch size: 262, lr: 4.50e-04
+2022-09-17 21:02:09,804 INFO [train.py:885] (1/2) Epoch 10, batch 9550, loss[loss=0.1973, simple_loss=0.2705, pruned_loss=0.06205, over 13540.00 frames. utt_duration=1323 frames, utt_pad_proportion=0.07452, over 41.00 utterances.], tot_loss[loss=0.3071, simple_loss=0.367, pruned_loss=0.1236, over 2781343.47 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06862, over 44045.29 utterances.], batch size: 41, lr: 4.50e-04
+2022-09-17 21:02:39,722 INFO [train.py:885] (1/2) Epoch 10, batch 9600, loss[loss=0.188, simple_loss=0.231, pruned_loss=0.07246, over 12844.00 frames. utt_duration=2056 frames, utt_pad_proportion=0.1363, over 25.00 utterances.], tot_loss[loss=0.3044, simple_loss=0.3644, pruned_loss=0.1222, over 2781225.51 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06857, over 43356.42 utterances.], batch size: 25, lr: 4.50e-04
+2022-09-17 21:03:08,926 INFO [train.py:885] (1/2) Epoch 10, batch 9650, loss[loss=0.22, simple_loss=0.2901, pruned_loss=0.07497, over 14174.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.0454, over 89.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3661, pruned_loss=0.1229, over 2779511.31 frames. utt_duration=253 frames, utt_pad_proportion=0.06999, over 44197.60 utterances.], batch size: 89, lr: 4.50e-04
+2022-09-17 21:03:39,295 INFO [train.py:885] (1/2) Epoch 10, batch 9700, loss[loss=0.1452, simple_loss=0.187, pruned_loss=0.05169, over 12346.00 frames. utt_duration=2059 frames, utt_pad_proportion=0.1649, over 24.00 utterances.], tot_loss[loss=0.3066, simple_loss=0.3668, pruned_loss=0.1232, over 2774888.86 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07333, over 44639.28 utterances.], batch size: 24, lr: 4.50e-04
+2022-09-17 21:04:09,188 INFO [train.py:885] (1/2) Epoch 10, batch 9750, loss[loss=0.4201, simple_loss=0.4863, pruned_loss=0.177, over 13604.00 frames. utt_duration=98.61 frames, utt_pad_proportion=0.0784, over 560.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.3686, pruned_loss=0.1241, over 2774665.19 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07344, over 45612.37 utterances.], batch size: 560, lr: 4.50e-04
+2022-09-17 21:04:38,520 INFO [train.py:885] (1/2) Epoch 10, batch 9800, loss[loss=0.2099, simple_loss=0.2695, pruned_loss=0.07514, over 13262.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.09543, over 41.00 utterances.], tot_loss[loss=0.3088, simple_loss=0.3688, pruned_loss=0.1244, over 2777268.45 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07237, over 44728.70 utterances.], batch size: 41, lr: 4.50e-04
+2022-09-17 21:05:07,329 INFO [train.py:885] (1/2) Epoch 10, batch 9850, loss[loss=0.3081, simple_loss=0.3777, pruned_loss=0.1193, over 14372.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03462, over 210.00 utterances.], tot_loss[loss=0.3105, simple_loss=0.3704, pruned_loss=0.1253, over 2781563.63 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07052, over 44646.71 utterances.], batch size: 210, lr: 4.50e-04
+2022-09-17 21:05:37,561 INFO [train.py:885] (1/2) Epoch 10, batch 9900, loss[loss=0.2847, simple_loss=0.3495, pruned_loss=0.1099, over 14270.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.04333, over 154.00 utterances.], tot_loss[loss=0.3111, simple_loss=0.3706, pruned_loss=0.1258, over 2781585.95 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07136, over 45237.09 utterances.], batch size: 154, lr: 4.49e-04
+2022-09-17 21:06:07,300 INFO [train.py:885] (1/2) Epoch 10, batch 9950, loss[loss=0.2934, simple_loss=0.3406, pruned_loss=0.1232, over 13834.00 frames. utt_duration=923.6 frames, utt_pad_proportion=0.0689, over 60.00 utterances.], tot_loss[loss=0.3091, simple_loss=0.3685, pruned_loss=0.1248, over 2780734.83 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07126, over 44425.22 utterances.], batch size: 60, lr: 4.49e-04
+2022-09-17 21:06:36,379 INFO [train.py:885] (1/2) Epoch 10, batch 10000, loss[loss=0.3508, simple_loss=0.4018, pruned_loss=0.1499, over 14359.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03282, over 244.00 utterances.], tot_loss[loss=0.3115, simple_loss=0.3714, pruned_loss=0.1257, over 2780666.44 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07085, over 46471.38 utterances.], batch size: 244, lr: 4.49e-04
+2022-09-17 21:07:06,278 INFO [train.py:885] (1/2) Epoch 10, batch 10050, loss[loss=0.4716, simple_loss=0.4737, pruned_loss=0.2347, over 14342.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03672, over 195.00 utterances.], tot_loss[loss=0.3094, simple_loss=0.3699, pruned_loss=0.1244, over 2779521.18 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07098, over 45371.44 utterances.], batch size: 195, lr: 4.49e-04
+2022-09-17 21:07:35,838 INFO [train.py:885] (1/2) Epoch 10, batch 10100, loss[loss=0.1967, simple_loss=0.2526, pruned_loss=0.07037, over 13038.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.1117, over 33.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.3692, pruned_loss=0.1238, over 2775728.48 frames. utt_duration=244.5 frames, utt_pad_proportion=0.0714, over 45677.89 utterances.], batch size: 33, lr: 4.49e-04
+2022-09-17 21:08:05,649 INFO [train.py:885] (1/2) Epoch 10, batch 10150, loss[loss=0.3213, simple_loss=0.3904, pruned_loss=0.1261, over 14292.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04072, over 262.00 utterances.], tot_loss[loss=0.3097, simple_loss=0.3706, pruned_loss=0.1244, over 2778938.83 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07167, over 45607.87 utterances.], batch size: 262, lr: 4.49e-04
+2022-09-17 21:08:34,700 INFO [train.py:885] (1/2) Epoch 10, batch 10200, loss[loss=0.3326, simple_loss=0.393, pruned_loss=0.1361, over 14267.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04102, over 225.00 utterances.], tot_loss[loss=0.3109, simple_loss=0.3715, pruned_loss=0.1252, over 2781568.73 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07076, over 45644.83 utterances.], batch size: 225, lr: 4.49e-04
+2022-09-17 21:09:05,002 INFO [train.py:885] (1/2) Epoch 10, batch 10250, loss[loss=0.3639, simple_loss=0.4208, pruned_loss=0.1536, over 14365.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03279, over 244.00 utterances.], tot_loss[loss=0.3097, simple_loss=0.3702, pruned_loss=0.1246, over 2781013.74 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07256, over 45390.86 utterances.], batch size: 244, lr: 4.49e-04
+2022-09-17 21:09:33,750 INFO [train.py:885] (1/2) Epoch 10, batch 10300, loss[loss=0.341, simple_loss=0.4055, pruned_loss=0.1383, over 14292.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04067, over 262.00 utterances.], tot_loss[loss=0.3069, simple_loss=0.3679, pruned_loss=0.1229, over 2778888.16 frames. utt_duration=252 frames, utt_pad_proportion=0.07278, over 44374.46 utterances.], batch size: 262, lr: 4.49e-04
+2022-09-17 21:10:03,335 INFO [train.py:885] (1/2) Epoch 10, batch 10350, loss[loss=0.3263, simple_loss=0.392, pruned_loss=0.1303, over 14315.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.0393, over 283.00 utterances.], tot_loss[loss=0.3121, simple_loss=0.3727, pruned_loss=0.1257, over 2784459.09 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07024, over 46070.98 utterances.], batch size: 283, lr: 4.49e-04
+2022-09-17 21:10:33,145 INFO [train.py:885] (1/2) Epoch 10, batch 10400, loss[loss=0.3153, simple_loss=0.378, pruned_loss=0.1263, over 14345.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03639, over 210.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3732, pruned_loss=0.1262, over 2781221.79 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07209, over 46781.59 utterances.], batch size: 210, lr: 4.49e-04
+2022-09-17 21:11:02,735 INFO [train.py:885] (1/2) Epoch 10, batch 10450, loss[loss=0.2341, simple_loss=0.3026, pruned_loss=0.08281, over 14069.00 frames. utt_duration=575.8 frames, utt_pad_proportion=0.05447, over 98.00 utterances.], tot_loss[loss=0.3088, simple_loss=0.3693, pruned_loss=0.1241, over 2785723.76 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07051, over 44754.05 utterances.], batch size: 98, lr: 4.48e-04
+2022-09-17 21:11:32,538 INFO [train.py:885] (1/2) Epoch 10, batch 10500, loss[loss=0.3763, simple_loss=0.415, pruned_loss=0.1688, over 14282.00 frames. utt_duration=203.2 frames, utt_pad_proportion=0.04139, over 283.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3706, pruned_loss=0.1241, over 2781688.08 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07184, over 45949.56 utterances.], batch size: 283, lr: 4.48e-04
+2022-09-17 21:12:01,932 INFO [train.py:885] (1/2) Epoch 10, batch 10550, loss[loss=0.4313, simple_loss=0.4726, pruned_loss=0.195, over 14027.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05434, over 365.00 utterances.], tot_loss[loss=0.3082, simple_loss=0.3692, pruned_loss=0.1236, over 2779067.36 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07119, over 45422.02 utterances.], batch size: 365, lr: 4.48e-04
+2022-09-17 21:12:31,483 INFO [train.py:885] (1/2) Epoch 10, batch 10600, loss[loss=0.4407, simple_loss=0.5003, pruned_loss=0.1906, over 13652.00 frames. utt_duration=98.94 frames, utt_pad_proportion=0.07528, over 560.00 utterances.], tot_loss[loss=0.3104, simple_loss=0.3709, pruned_loss=0.1249, over 2779597.50 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07117, over 45668.00 utterances.], batch size: 560, lr: 4.48e-04
+2022-09-17 21:13:00,537 INFO [train.py:885] (1/2) Epoch 10, batch 10650, loss[loss=0.4305, simple_loss=0.4762, pruned_loss=0.1924, over 14019.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05716, over 366.00 utterances.], tot_loss[loss=0.3096, simple_loss=0.3703, pruned_loss=0.1244, over 2780260.96 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07078, over 45797.96 utterances.], batch size: 366, lr: 4.48e-04
+2022-09-17 21:13:30,544 INFO [train.py:885] (1/2) Epoch 10, batch 10700, loss[loss=0.5319, simple_loss=0.6062, pruned_loss=0.2288, over 12517.00 frames. utt_duration=63.27 frames, utt_pad_proportion=0.145, over 811.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3681, pruned_loss=0.1237, over 2776316.52 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07274, over 44620.55 utterances.], batch size: 811, lr: 4.48e-04
+2022-09-17 21:14:00,132 INFO [train.py:885] (1/2) Epoch 10, batch 10750, loss[loss=0.2713, simple_loss=0.3465, pruned_loss=0.09804, over 14331.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.03755, over 120.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.3673, pruned_loss=0.1232, over 2775263.61 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07353, over 44760.77 utterances.], batch size: 120, lr: 4.48e-04
+2022-09-17 21:14:29,517 INFO [train.py:885] (1/2) Epoch 10, batch 10800, loss[loss=0.2737, simple_loss=0.3335, pruned_loss=0.107, over 14293.00 frames. utt_duration=441 frames, utt_pad_proportion=0.0392, over 130.00 utterances.], tot_loss[loss=0.3116, simple_loss=0.3723, pruned_loss=0.1255, over 2777770.58 frames. utt_duration=241 frames, utt_pad_proportion=0.07309, over 46392.27 utterances.], batch size: 130, lr: 4.48e-04
+2022-09-17 21:14:58,811 INFO [train.py:885] (1/2) Epoch 10, batch 10850, loss[loss=0.3539, simple_loss=0.4076, pruned_loss=0.1501, over 14256.00 frames. utt_duration=254 frames, utt_pad_proportion=0.04163, over 226.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.373, pruned_loss=0.1263, over 2780310.22 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07093, over 46342.15 utterances.], batch size: 226, lr: 4.48e-04
+2022-09-17 21:15:29,442 INFO [train.py:885] (1/2) Epoch 10, batch 10900, loss[loss=0.292, simple_loss=0.3544, pruned_loss=0.1148, over 14275.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.04005, over 154.00 utterances.], tot_loss[loss=0.3108, simple_loss=0.3706, pruned_loss=0.1254, over 2779422.31 frames. utt_duration=247 frames, utt_pad_proportion=0.07148, over 45276.57 utterances.], batch size: 154, lr: 4.48e-04
+2022-09-17 21:15:58,292 INFO [train.py:885] (1/2) Epoch 10, batch 10950, loss[loss=0.1656, simple_loss=0.2313, pruned_loss=0.05, over 12156.00 frames. utt_duration=2027 frames, utt_pad_proportion=0.1846, over 24.00 utterances.], tot_loss[loss=0.3044, simple_loss=0.365, pruned_loss=0.1219, over 2778156.70 frames. utt_duration=257.9 frames, utt_pad_proportion=0.0692, over 43329.42 utterances.], batch size: 24, lr: 4.48e-04
+2022-09-17 21:16:28,098 INFO [train.py:885] (1/2) Epoch 10, batch 11000, loss[loss=0.3703, simple_loss=0.4562, pruned_loss=0.1422, over 13627.00 frames. utt_duration=98.73 frames, utt_pad_proportion=0.0773, over 560.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3645, pruned_loss=0.1221, over 2777918.95 frames. utt_duration=258.4 frames, utt_pad_proportion=0.07106, over 43248.81 utterances.], batch size: 560, lr: 4.47e-04
+2022-09-17 21:16:57,427 INFO [train.py:885] (1/2) Epoch 10, batch 11050, loss[loss=0.1955, simple_loss=0.2515, pruned_loss=0.06974, over 13884.00 frames. utt_duration=927 frames, utt_pad_proportion=0.06836, over 60.00 utterances.], tot_loss[loss=0.3067, simple_loss=0.3666, pruned_loss=0.1234, over 2778059.03 frames. utt_duration=255.9 frames, utt_pad_proportion=0.07238, over 43682.78 utterances.], batch size: 60, lr: 4.47e-04
+2022-09-17 21:17:26,621 INFO [train.py:885] (1/2) Epoch 10, batch 11100, loss[loss=0.3475, simple_loss=0.4155, pruned_loss=0.1398, over 14004.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05581, over 365.00 utterances.], tot_loss[loss=0.3105, simple_loss=0.3705, pruned_loss=0.1252, over 2780858.28 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07195, over 44947.08 utterances.], batch size: 365, lr: 4.47e-04
+2022-09-17 21:17:55,569 INFO [train.py:885] (1/2) Epoch 10, batch 11150, loss[loss=0.3486, simple_loss=0.3968, pruned_loss=0.1502, over 14348.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.0374, over 244.00 utterances.], tot_loss[loss=0.3133, simple_loss=0.3735, pruned_loss=0.1266, over 2787262.03 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06985, over 45754.47 utterances.], batch size: 244, lr: 4.47e-04
+2022-09-17 21:18:25,510 INFO [train.py:885] (1/2) Epoch 10, batch 11200, loss[loss=0.3917, simple_loss=0.4623, pruned_loss=0.1605, over 13688.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07765, over 477.00 utterances.], tot_loss[loss=0.3109, simple_loss=0.3711, pruned_loss=0.1254, over 2786217.48 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07005, over 44688.81 utterances.], batch size: 477, lr: 4.47e-04
+2022-09-17 21:18:55,203 INFO [train.py:885] (1/2) Epoch 10, batch 11250, loss[loss=0.1667, simple_loss=0.2112, pruned_loss=0.06112, over 13184.00 frames. utt_duration=1600 frames, utt_pad_proportion=0.1114, over 33.00 utterances.], tot_loss[loss=0.3126, simple_loss=0.3726, pruned_loss=0.1263, over 2782334.58 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07137, over 45572.58 utterances.], batch size: 33, lr: 4.47e-04
+2022-09-17 21:19:25,023 INFO [train.py:885] (1/2) Epoch 10, batch 11300, loss[loss=0.6215, simple_loss=0.6572, pruned_loss=0.2929, over 12487.00 frames. utt_duration=63.24 frames, utt_pad_proportion=0.1454, over 810.00 utterances.], tot_loss[loss=0.3116, simple_loss=0.3715, pruned_loss=0.1258, over 2780585.52 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07171, over 45902.91 utterances.], batch size: 810, lr: 4.47e-04
+2022-09-17 21:19:54,171 INFO [train.py:885] (1/2) Epoch 10, batch 11350, loss[loss=0.3431, simple_loss=0.4372, pruned_loss=0.1245, over 13609.00 frames. utt_duration=98.63 frames, utt_pad_proportion=0.07822, over 560.00 utterances.], tot_loss[loss=0.3085, simple_loss=0.369, pruned_loss=0.1241, over 2780057.64 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07179, over 45541.57 utterances.], batch size: 560, lr: 4.47e-04
+2022-09-17 21:20:22,968 INFO [train.py:885] (1/2) Epoch 10, batch 11400, loss[loss=0.2522, simple_loss=0.3189, pruned_loss=0.09276, over 14221.00 frames. utt_duration=523.4 frames, utt_pad_proportion=0.0413, over 109.00 utterances.], tot_loss[loss=0.3096, simple_loss=0.3705, pruned_loss=0.1244, over 2780363.14 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07163, over 45740.84 utterances.], batch size: 109, lr: 4.47e-04
+2022-09-17 21:20:53,014 INFO [train.py:885] (1/2) Epoch 10, batch 11450, loss[loss=0.4442, simple_loss=0.4913, pruned_loss=0.1986, over 13775.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07071, over 411.00 utterances.], tot_loss[loss=0.3078, simple_loss=0.368, pruned_loss=0.1238, over 2779972.15 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07159, over 44753.11 utterances.], batch size: 411, lr: 4.47e-04
+2022-09-17 21:21:22,370 INFO [train.py:885] (1/2) Epoch 10, batch 11500, loss[loss=0.3661, simple_loss=0.4217, pruned_loss=0.1553, over 14307.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.0385, over 226.00 utterances.], tot_loss[loss=0.3096, simple_loss=0.3688, pruned_loss=0.1252, over 2780015.77 frames. utt_duration=252 frames, utt_pad_proportion=0.07107, over 44387.48 utterances.], batch size: 226, lr: 4.47e-04
+2022-09-17 21:21:52,660 INFO [train.py:885] (1/2) Epoch 10, batch 11550, loss[loss=0.163, simple_loss=0.2334, pruned_loss=0.04629, over 13518.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.0869, over 50.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.3687, pruned_loss=0.125, over 2783276.40 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06953, over 44322.28 utterances.], batch size: 50, lr: 4.46e-04
+2022-09-17 21:22:20,910 INFO [train.py:885] (1/2) Epoch 10, batch 11600, loss[loss=0.215, simple_loss=0.2649, pruned_loss=0.08254, over 13646.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.08136, over 50.00 utterances.], tot_loss[loss=0.3131, simple_loss=0.3722, pruned_loss=0.1271, over 2788702.07 frames. utt_duration=247 frames, utt_pad_proportion=0.06757, over 45427.46 utterances.], batch size: 50, lr: 4.46e-04
+2022-09-17 21:23:05,902 INFO [train.py:885] (1/2) Epoch 10, batch 11650, loss[loss=0.2747, simple_loss=0.3156, pruned_loss=0.1169, over 13940.00 frames. utt_duration=931.2 frames, utt_pad_proportion=0.06131, over 60.00 utterances.], tot_loss[loss=0.3108, simple_loss=0.3704, pruned_loss=0.1256, over 2786950.16 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06823, over 44905.76 utterances.], batch size: 60, lr: 4.46e-04
+2022-09-17 21:23:35,508 INFO [train.py:885] (1/2) Epoch 10, batch 11700, loss[loss=0.2024, simple_loss=0.2578, pruned_loss=0.07354, over 13617.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08267, over 50.00 utterances.], tot_loss[loss=0.3127, simple_loss=0.3719, pruned_loss=0.1268, over 2787094.93 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06975, over 45108.86 utterances.], batch size: 50, lr: 4.46e-04
+2022-09-17 21:24:05,514 INFO [train.py:885] (1/2) Epoch 10, batch 11750, loss[loss=0.2272, simple_loss=0.2828, pruned_loss=0.0858, over 13955.00 frames. utt_duration=810.4 frames, utt_pad_proportion=0.05549, over 69.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3697, pruned_loss=0.1246, over 2785167.81 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06993, over 45119.46 utterances.], batch size: 69, lr: 4.46e-04
+2022-09-17 21:24:34,550 INFO [train.py:885] (1/2) Epoch 10, batch 11800, loss[loss=0.1879, simple_loss=0.2566, pruned_loss=0.05962, over 13805.00 frames. utt_duration=922 frames, utt_pad_proportion=0.07433, over 60.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.3686, pruned_loss=0.1238, over 2783974.45 frames. utt_duration=251.1 frames, utt_pad_proportion=0.0702, over 44616.50 utterances.], batch size: 60, lr: 4.46e-04
+2022-09-17 21:25:04,426 INFO [train.py:885] (1/2) Epoch 10, batch 11850, loss[loss=0.3583, simple_loss=0.4312, pruned_loss=0.1427, over 13819.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06856, over 411.00 utterances.], tot_loss[loss=0.3089, simple_loss=0.3692, pruned_loss=0.1243, over 2782923.02 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07096, over 44960.07 utterances.], batch size: 411, lr: 4.46e-04
+2022-09-17 21:25:33,758 INFO [train.py:885] (1/2) Epoch 10, batch 11900, loss[loss=0.2344, simple_loss=0.3046, pruned_loss=0.0821, over 13581.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08426, over 50.00 utterances.], tot_loss[loss=0.3065, simple_loss=0.3672, pruned_loss=0.1229, over 2788573.48 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06836, over 43860.64 utterances.], batch size: 50, lr: 4.46e-04
+2022-09-17 21:26:03,649 INFO [train.py:885] (1/2) Epoch 10, batch 11950, loss[loss=0.3585, simple_loss=0.4138, pruned_loss=0.1516, over 14201.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04492, over 306.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.3687, pruned_loss=0.1235, over 2783685.57 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06913, over 44928.08 utterances.], batch size: 306, lr: 4.46e-04
+2022-09-17 21:26:33,125 INFO [train.py:885] (1/2) Epoch 10, batch 12000, loss[loss=0.2418, simple_loss=0.2846, pruned_loss=0.09943, over 13856.00 frames. utt_duration=925 frames, utt_pad_proportion=0.06752, over 60.00 utterances.], tot_loss[loss=0.3107, simple_loss=0.3704, pruned_loss=0.1255, over 2780582.31 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07085, over 45167.58 utterances.], batch size: 60, lr: 4.46e-04
+2022-09-17 21:26:33,126 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 21:26:37,745 INFO [train.py:914] (1/2) Epoch 10, validation: loss=0.2085, simple_loss=0.2859, pruned_loss=0.06557, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 21:27:06,709 INFO [train.py:885] (1/2) Epoch 10, batch 12050, loss[loss=0.3346, simple_loss=0.4285, pruned_loss=0.1204, over 13613.00 frames. utt_duration=98.64 frames, utt_pad_proportion=0.07814, over 560.00 utterances.], tot_loss[loss=0.3125, simple_loss=0.3716, pruned_loss=0.1267, over 2783772.55 frames. utt_duration=248.6 frames, utt_pad_proportion=0.0694, over 45060.64 utterances.], batch size: 560, lr: 4.46e-04
+2022-09-17 21:27:35,206 INFO [train.py:885] (1/2) Epoch 10, batch 12100, loss[loss=0.2491, simple_loss=0.3151, pruned_loss=0.09153, over 14291.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.04387, over 110.00 utterances.], tot_loss[loss=0.3111, simple_loss=0.3706, pruned_loss=0.1258, over 2783757.41 frames. utt_duration=249.4 frames, utt_pad_proportion=0.0701, over 44903.26 utterances.], batch size: 110, lr: 4.45e-04
+2022-09-17 21:28:06,000 INFO [train.py:885] (1/2) Epoch 10, batch 12150, loss[loss=0.3325, simple_loss=0.3907, pruned_loss=0.1372, over 14400.00 frames. utt_duration=275.7 frames, utt_pad_proportion=0.03278, over 210.00 utterances.], tot_loss[loss=0.3091, simple_loss=0.3693, pruned_loss=0.1245, over 2785495.03 frames. utt_duration=248.6 frames, utt_pad_proportion=0.0686, over 45086.10 utterances.], batch size: 210, lr: 4.45e-04
+2022-09-17 21:28:35,749 INFO [train.py:885] (1/2) Epoch 10, batch 12200, loss[loss=0.2815, simple_loss=0.3337, pruned_loss=0.1146, over 14155.00 frames. utt_duration=579.1 frames, utt_pad_proportion=0.04913, over 98.00 utterances.], tot_loss[loss=0.3092, simple_loss=0.3693, pruned_loss=0.1246, over 2791253.15 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06766, over 44173.70 utterances.], batch size: 98, lr: 4.45e-04
+2022-09-17 21:29:05,184 INFO [train.py:885] (1/2) Epoch 10, batch 12250, loss[loss=0.3417, simple_loss=0.4285, pruned_loss=0.1274, over 13651.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07996, over 477.00 utterances.], tot_loss[loss=0.3083, simple_loss=0.3683, pruned_loss=0.1242, over 2786161.45 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06819, over 44023.23 utterances.], batch size: 477, lr: 4.45e-04
+2022-09-17 21:29:34,693 INFO [train.py:885] (1/2) Epoch 10, batch 12300, loss[loss=0.223, simple_loss=0.2686, pruned_loss=0.08864, over 13431.00 frames. utt_duration=1629 frames, utt_pad_proportion=0.09287, over 33.00 utterances.], tot_loss[loss=0.3092, simple_loss=0.3694, pruned_loss=0.1245, over 2782362.77 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06988, over 44978.99 utterances.], batch size: 33, lr: 4.45e-04
+2022-09-17 21:30:03,741 INFO [train.py:885] (1/2) Epoch 10, batch 12350, loss[loss=0.299, simple_loss=0.365, pruned_loss=0.1165, over 14303.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03917, over 195.00 utterances.], tot_loss[loss=0.3096, simple_loss=0.3701, pruned_loss=0.1245, over 2781896.16 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07047, over 45758.31 utterances.], batch size: 195, lr: 4.45e-04
+2022-09-17 21:30:40,359 INFO [train.py:885] (1/2) Epoch 10, batch 12400, loss[loss=0.2029, simple_loss=0.2657, pruned_loss=0.07003, over 13462.00 frames. utt_duration=1283 frames, utt_pad_proportion=0.09362, over 42.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3682, pruned_loss=0.1232, over 2781377.03 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06995, over 45428.76 utterances.], batch size: 42, lr: 4.45e-04
+2022-09-17 21:31:10,667 INFO [train.py:885] (1/2) Epoch 10, batch 12450, loss[loss=0.2183, simple_loss=0.2647, pruned_loss=0.08599, over 13519.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.0891, over 50.00 utterances.], tot_loss[loss=0.3105, simple_loss=0.3707, pruned_loss=0.1252, over 2776398.96 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07283, over 46306.80 utterances.], batch size: 50, lr: 4.45e-04
+2022-09-17 21:31:39,844 INFO [train.py:885] (1/2) Epoch 10, batch 12500, loss[loss=0.1902, simple_loss=0.2426, pruned_loss=0.06892, over 13129.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.106, over 33.00 utterances.], tot_loss[loss=0.3052, simple_loss=0.3654, pruned_loss=0.1225, over 2779592.84 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07062, over 43938.30 utterances.], batch size: 33, lr: 4.45e-04
+2022-09-17 21:32:09,093 INFO [train.py:885] (1/2) Epoch 10, batch 12550, loss[loss=0.199, simple_loss=0.2487, pruned_loss=0.07471, over 13092.00 frames. utt_duration=1588 frames, utt_pad_proportion=0.122, over 33.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3648, pruned_loss=0.1221, over 2779806.11 frames. utt_duration=255.8 frames, utt_pad_proportion=0.0687, over 43715.62 utterances.], batch size: 33, lr: 4.45e-04
+2022-09-17 21:32:37,414 INFO [train.py:885] (1/2) Epoch 10, batch 12600, loss[loss=0.2496, simple_loss=0.3316, pruned_loss=0.08376, over 14315.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04023, over 154.00 utterances.], tot_loss[loss=0.3072, simple_loss=0.3677, pruned_loss=0.1233, over 2781222.38 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07034, over 44904.18 utterances.], batch size: 154, lr: 4.45e-04
+2022-09-17 21:32:56,466 INFO [train.py:885] (1/2) Epoch 11, batch 0, loss[loss=0.4817, simple_loss=0.5456, pruned_loss=0.2089, over 13153.00 frames. utt_duration=82.16 frames, utt_pad_proportion=0.1069, over 653.00 utterances.], tot_loss[loss=0.4817, simple_loss=0.5456, pruned_loss=0.2089, over 13153.00 frames. utt_duration=82.16 frames, utt_pad_proportion=0.1069, over 653.00 utterances.], batch size: 653, lr: 4.28e-04
+2022-09-17 21:33:27,100 INFO [train.py:885] (1/2) Epoch 11, batch 50, loss[loss=0.3071, simple_loss=0.3715, pruned_loss=0.1213, over 14372.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.03759, over 155.00 utterances.], tot_loss[loss=0.3201, simple_loss=0.382, pruned_loss=0.1291, over 627231.87 frames. utt_duration=219.5 frames, utt_pad_proportion=0.07883, over 11508.43 utterances.], batch size: 155, lr: 4.28e-04
+2022-09-17 21:33:56,778 INFO [train.py:885] (1/2) Epoch 11, batch 100, loss[loss=0.2989, simple_loss=0.3726, pruned_loss=0.1127, over 14270.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04063, over 180.00 utterances.], tot_loss[loss=0.3259, simple_loss=0.3856, pruned_loss=0.1331, over 1106271.49 frames. utt_duration=220.8 frames, utt_pad_proportion=0.07309, over 20178.33 utterances.], batch size: 180, lr: 4.28e-04
+2022-09-17 21:34:26,095 INFO [train.py:885] (1/2) Epoch 11, batch 150, loss[loss=0.3279, simple_loss=0.3843, pruned_loss=0.1358, over 14350.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03608, over 226.00 utterances.], tot_loss[loss=0.3149, simple_loss=0.3743, pruned_loss=0.1277, over 1480183.11 frames. utt_duration=243.1 frames, utt_pad_proportion=0.06784, over 24502.75 utterances.], batch size: 226, lr: 4.28e-04
+2022-09-17 21:34:55,921 INFO [train.py:885] (1/2) Epoch 11, batch 200, loss[loss=0.5188, simple_loss=0.5992, pruned_loss=0.2192, over 12437.00 frames. utt_duration=63.02 frames, utt_pad_proportion=0.1484, over 810.00 utterances.], tot_loss[loss=0.3154, simple_loss=0.3746, pruned_loss=0.1281, over 1766294.01 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07156, over 29668.33 utterances.], batch size: 810, lr: 4.28e-04
+2022-09-17 21:35:25,933 INFO [train.py:885] (1/2) Epoch 11, batch 250, loss[loss=0.3677, simple_loss=0.418, pruned_loss=0.1587, over 14374.00 frames. utt_duration=204.6 frames, utt_pad_proportion=0.03494, over 283.00 utterances.], tot_loss[loss=0.3147, simple_loss=0.3743, pruned_loss=0.1276, over 1992249.59 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07023, over 33739.55 utterances.], batch size: 283, lr: 4.28e-04
+2022-09-17 21:35:54,913 INFO [train.py:885] (1/2) Epoch 11, batch 300, loss[loss=0.2733, simple_loss=0.3323, pruned_loss=0.1071, over 14318.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04031, over 154.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.3689, pruned_loss=0.124, over 2173449.13 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06663, over 35010.28 utterances.], batch size: 154, lr: 4.28e-04
+2022-09-17 21:36:24,888 INFO [train.py:885] (1/2) Epoch 11, batch 350, loss[loss=0.2284, simple_loss=0.2811, pruned_loss=0.0878, over 12769.00 frames. utt_duration=1966 frames, utt_pad_proportion=0.1379, over 26.00 utterances.], tot_loss[loss=0.3115, simple_loss=0.3711, pruned_loss=0.1259, over 2306668.44 frames. utt_duration=245 frames, utt_pad_proportion=0.06897, over 37884.01 utterances.], batch size: 26, lr: 4.28e-04
+2022-09-17 21:36:54,113 INFO [train.py:885] (1/2) Epoch 11, batch 400, loss[loss=0.171, simple_loss=0.2309, pruned_loss=0.05557, over 12161.00 frames. utt_duration=2028 frames, utt_pad_proportion=0.1702, over 24.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3673, pruned_loss=0.1237, over 2412307.15 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06677, over 38372.33 utterances.], batch size: 24, lr: 4.27e-04
+2022-09-17 21:37:23,802 INFO [train.py:885] (1/2) Epoch 11, batch 450, loss[loss=0.1737, simple_loss=0.2347, pruned_loss=0.05639, over 13598.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.0816, over 50.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.3683, pruned_loss=0.1243, over 2493163.76 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06946, over 40764.79 utterances.], batch size: 50, lr: 4.27e-04
+2022-09-17 21:37:53,857 INFO [train.py:885] (1/2) Epoch 11, batch 500, loss[loss=0.4244, simple_loss=0.4686, pruned_loss=0.1901, over 13982.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.0566, over 365.00 utterances.], tot_loss[loss=0.3064, simple_loss=0.3663, pruned_loss=0.1233, over 2555353.08 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06955, over 40384.26 utterances.], batch size: 365, lr: 4.27e-04
+2022-09-17 21:38:23,689 INFO [train.py:885] (1/2) Epoch 11, batch 550, loss[loss=0.419, simple_loss=0.476, pruned_loss=0.181, over 13824.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06848, over 411.00 utterances.], tot_loss[loss=0.3101, simple_loss=0.3699, pruned_loss=0.1252, over 2606504.71 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06868, over 42184.69 utterances.], batch size: 411, lr: 4.27e-04
+2022-09-17 21:38:53,062 INFO [train.py:885] (1/2) Epoch 11, batch 600, loss[loss=0.1942, simple_loss=0.2668, pruned_loss=0.06084, over 14239.00 frames. utt_duration=641.4 frames, utt_pad_proportion=0.04416, over 89.00 utterances.], tot_loss[loss=0.3123, simple_loss=0.3726, pruned_loss=0.126, over 2649243.45 frames. utt_duration=240.6 frames, utt_pad_proportion=0.06837, over 44308.93 utterances.], batch size: 89, lr: 4.27e-04
+2022-09-17 21:39:22,773 INFO [train.py:885] (1/2) Epoch 11, batch 650, loss[loss=0.4103, simple_loss=0.4764, pruned_loss=0.1721, over 13786.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07028, over 411.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.3724, pruned_loss=0.1257, over 2678307.94 frames. utt_duration=238.3 frames, utt_pad_proportion=0.06973, over 45229.11 utterances.], batch size: 411, lr: 4.27e-04
+2022-09-17 21:39:52,290 INFO [train.py:885] (1/2) Epoch 11, batch 700, loss[loss=0.2265, simple_loss=0.305, pruned_loss=0.074, over 14270.00 frames. utt_duration=477.3 frames, utt_pad_proportion=0.04162, over 120.00 utterances.], tot_loss[loss=0.3101, simple_loss=0.3716, pruned_loss=0.1243, over 2701364.36 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07167, over 45941.01 utterances.], batch size: 120, lr: 4.27e-04
+2022-09-17 21:40:21,830 INFO [train.py:885] (1/2) Epoch 11, batch 750, loss[loss=0.4178, simple_loss=0.4553, pruned_loss=0.1902, over 14245.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04203, over 306.00 utterances.], tot_loss[loss=0.3125, simple_loss=0.3729, pruned_loss=0.126, over 2716740.64 frames. utt_duration=239 frames, utt_pad_proportion=0.0735, over 45747.14 utterances.], batch size: 306, lr: 4.27e-04
+2022-09-17 21:40:51,870 INFO [train.py:885] (1/2) Epoch 11, batch 800, loss[loss=0.3619, simple_loss=0.4113, pruned_loss=0.1563, over 14217.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0438, over 306.00 utterances.], tot_loss[loss=0.3131, simple_loss=0.3733, pruned_loss=0.1264, over 2730337.08 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07309, over 46239.92 utterances.], batch size: 306, lr: 4.27e-04
+2022-09-17 21:41:21,070 INFO [train.py:885] (1/2) Epoch 11, batch 850, loss[loss=0.5554, simple_loss=0.6245, pruned_loss=0.2432, over 12472.00 frames. utt_duration=63.18 frames, utt_pad_proportion=0.1462, over 810.00 utterances.], tot_loss[loss=0.3129, simple_loss=0.3735, pruned_loss=0.1261, over 2745065.85 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07273, over 46248.31 utterances.], batch size: 810, lr: 4.27e-04
+2022-09-17 21:41:50,557 INFO [train.py:885] (1/2) Epoch 11, batch 900, loss[loss=0.1686, simple_loss=0.2394, pruned_loss=0.04886, over 12464.00 frames. utt_duration=2078 frames, utt_pad_proportion=0.1503, over 24.00 utterances.], tot_loss[loss=0.3135, simple_loss=0.3742, pruned_loss=0.1264, over 2747229.32 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07387, over 46720.83 utterances.], batch size: 24, lr: 4.27e-04
+2022-09-17 21:42:19,851 INFO [train.py:885] (1/2) Epoch 11, batch 950, loss[loss=0.3409, simple_loss=0.3962, pruned_loss=0.1428, over 14328.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03454, over 262.00 utterances.], tot_loss[loss=0.3166, simple_loss=0.3769, pruned_loss=0.1282, over 2753358.66 frames. utt_duration=232.6 frames, utt_pad_proportion=0.075, over 47656.57 utterances.], batch size: 262, lr: 4.27e-04
+2022-09-17 21:42:49,214 INFO [train.py:885] (1/2) Epoch 11, batch 1000, loss[loss=0.3435, simple_loss=0.4045, pruned_loss=0.1412, over 14346.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.0365, over 195.00 utterances.], tot_loss[loss=0.316, simple_loss=0.3766, pruned_loss=0.1277, over 2759396.11 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07352, over 47542.17 utterances.], batch size: 195, lr: 4.26e-04
+2022-09-17 21:43:18,502 INFO [train.py:885] (1/2) Epoch 11, batch 1050, loss[loss=0.267, simple_loss=0.3438, pruned_loss=0.09503, over 14229.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04471, over 141.00 utterances.], tot_loss[loss=0.3126, simple_loss=0.3733, pruned_loss=0.1259, over 2762541.72 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07466, over 46146.94 utterances.], batch size: 141, lr: 4.26e-04
+2022-09-17 21:43:48,168 INFO [train.py:885] (1/2) Epoch 11, batch 1100, loss[loss=0.2528, simple_loss=0.3287, pruned_loss=0.08841, over 14344.00 frames. utt_duration=374 frames, utt_pad_proportion=0.03612, over 154.00 utterances.], tot_loss[loss=0.3098, simple_loss=0.3714, pruned_loss=0.124, over 2762710.86 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07577, over 46620.94 utterances.], batch size: 154, lr: 4.26e-04
+2022-09-17 21:44:17,487 INFO [train.py:885] (1/2) Epoch 11, batch 1150, loss[loss=0.2725, simple_loss=0.3382, pruned_loss=0.1034, over 14318.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03689, over 130.00 utterances.], tot_loss[loss=0.3097, simple_loss=0.372, pruned_loss=0.1237, over 2762410.36 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07489, over 47293.55 utterances.], batch size: 130, lr: 4.26e-04
+2022-09-17 21:44:47,394 INFO [train.py:885] (1/2) Epoch 11, batch 1200, loss[loss=0.2895, simple_loss=0.3612, pruned_loss=0.1089, over 14343.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03913, over 167.00 utterances.], tot_loss[loss=0.3123, simple_loss=0.3743, pruned_loss=0.1251, over 2763128.61 frames. utt_duration=230.5 frames, utt_pad_proportion=0.07673, over 48251.83 utterances.], batch size: 167, lr: 4.26e-04
+2022-09-17 21:45:16,378 INFO [train.py:885] (1/2) Epoch 11, batch 1250, loss[loss=0.1995, simple_loss=0.2299, pruned_loss=0.08459, over 12226.00 frames. utt_duration=2039 frames, utt_pad_proportion=0.159, over 24.00 utterances.], tot_loss[loss=0.3113, simple_loss=0.3726, pruned_loss=0.1249, over 2769220.54 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07481, over 46428.56 utterances.], batch size: 24, lr: 4.26e-04
+2022-09-17 21:45:46,360 INFO [train.py:885] (1/2) Epoch 11, batch 1300, loss[loss=0.3593, simple_loss=0.4475, pruned_loss=0.1355, over 13614.00 frames. utt_duration=98.73 frames, utt_pad_proportion=0.07729, over 560.00 utterances.], tot_loss[loss=0.312, simple_loss=0.3728, pruned_loss=0.1256, over 2765442.09 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07675, over 46988.64 utterances.], batch size: 560, lr: 4.26e-04
+2022-09-17 21:46:15,404 INFO [train.py:885] (1/2) Epoch 11, batch 1350, loss[loss=0.3672, simple_loss=0.4469, pruned_loss=0.1438, over 13631.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08103, over 477.00 utterances.], tot_loss[loss=0.3115, simple_loss=0.3725, pruned_loss=0.1252, over 2768792.81 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07698, over 46890.74 utterances.], batch size: 477, lr: 4.26e-04
+2022-09-17 21:46:44,947 INFO [train.py:885] (1/2) Epoch 11, batch 1400, loss[loss=0.2434, simple_loss=0.319, pruned_loss=0.08389, over 13237.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.09582, over 41.00 utterances.], tot_loss[loss=0.3078, simple_loss=0.3686, pruned_loss=0.1235, over 2772440.09 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07337, over 45098.71 utterances.], batch size: 41, lr: 4.26e-04
+2022-09-17 21:47:14,808 INFO [train.py:885] (1/2) Epoch 11, batch 1450, loss[loss=0.2537, simple_loss=0.3218, pruned_loss=0.09278, over 14311.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03751, over 130.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3697, pruned_loss=0.1247, over 2774416.91 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07436, over 45549.09 utterances.], batch size: 130, lr: 4.26e-04
+2022-09-17 21:47:44,107 INFO [train.py:885] (1/2) Epoch 11, batch 1500, loss[loss=0.2816, simple_loss=0.3458, pruned_loss=0.1087, over 14314.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.0394, over 130.00 utterances.], tot_loss[loss=0.3069, simple_loss=0.3677, pruned_loss=0.1231, over 2780065.97 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07307, over 45172.68 utterances.], batch size: 130, lr: 4.26e-04
+2022-09-17 21:48:13,411 INFO [train.py:885] (1/2) Epoch 11, batch 1550, loss[loss=0.2265, simple_loss=0.2823, pruned_loss=0.08536, over 13744.00 frames. utt_duration=917.6 frames, utt_pad_proportion=0.07774, over 60.00 utterances.], tot_loss[loss=0.3096, simple_loss=0.3705, pruned_loss=0.1243, over 2780350.14 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07316, over 46142.78 utterances.], batch size: 60, lr: 4.26e-04
+2022-09-17 21:48:43,140 INFO [train.py:885] (1/2) Epoch 11, batch 1600, loss[loss=0.3989, simple_loss=0.4386, pruned_loss=0.1796, over 14248.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04261, over 335.00 utterances.], tot_loss[loss=0.3101, simple_loss=0.371, pruned_loss=0.1246, over 2783945.89 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07067, over 46265.18 utterances.], batch size: 335, lr: 4.25e-04
+2022-09-17 21:49:13,019 INFO [train.py:885] (1/2) Epoch 11, batch 1650, loss[loss=0.1799, simple_loss=0.2297, pruned_loss=0.06506, over 13230.00 frames. utt_duration=1558 frames, utt_pad_proportion=0.1119, over 34.00 utterances.], tot_loss[loss=0.3061, simple_loss=0.3676, pruned_loss=0.1223, over 2785187.06 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06897, over 44959.48 utterances.], batch size: 34, lr: 4.25e-04
+2022-09-17 21:49:42,724 INFO [train.py:885] (1/2) Epoch 11, batch 1700, loss[loss=0.3605, simple_loss=0.4027, pruned_loss=0.1592, over 14357.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03613, over 195.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3684, pruned_loss=0.1234, over 2784190.63 frames. utt_duration=250.4 frames, utt_pad_proportion=0.0682, over 44737.68 utterances.], batch size: 195, lr: 4.25e-04
+2022-09-17 21:50:11,772 INFO [train.py:885] (1/2) Epoch 11, batch 1750, loss[loss=0.279, simple_loss=0.3481, pruned_loss=0.1049, over 14374.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.03706, over 155.00 utterances.], tot_loss[loss=0.3047, simple_loss=0.3658, pruned_loss=0.1218, over 2784090.68 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06557, over 43722.87 utterances.], batch size: 155, lr: 4.25e-04
+2022-09-17 21:50:41,836 INFO [train.py:885] (1/2) Epoch 11, batch 1800, loss[loss=0.1801, simple_loss=0.2483, pruned_loss=0.05592, over 14028.00 frames. utt_duration=711.7 frames, utt_pad_proportion=0.05859, over 79.00 utterances.], tot_loss[loss=0.3051, simple_loss=0.3662, pruned_loss=0.122, over 2785685.21 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06747, over 44311.79 utterances.], batch size: 79, lr: 4.25e-04
+2022-09-17 21:51:12,074 INFO [train.py:885] (1/2) Epoch 11, batch 1850, loss[loss=0.4187, simple_loss=0.5014, pruned_loss=0.168, over 13166.00 frames. utt_duration=82.17 frames, utt_pad_proportion=0.1068, over 653.00 utterances.], tot_loss[loss=0.3075, simple_loss=0.3685, pruned_loss=0.1232, over 2783066.54 frames. utt_duration=244 frames, utt_pad_proportion=0.06903, over 45907.49 utterances.], batch size: 653, lr: 4.25e-04
+2022-09-17 21:51:41,053 INFO [train.py:885] (1/2) Epoch 11, batch 1900, loss[loss=0.2154, simple_loss=0.2768, pruned_loss=0.07703, over 14026.00 frames. utt_duration=711.6 frames, utt_pad_proportion=0.0587, over 79.00 utterances.], tot_loss[loss=0.3106, simple_loss=0.371, pruned_loss=0.1251, over 2784669.83 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07058, over 46050.07 utterances.], batch size: 79, lr: 4.25e-04
+2022-09-17 21:52:10,589 INFO [train.py:885] (1/2) Epoch 11, batch 1950, loss[loss=0.2787, simple_loss=0.3427, pruned_loss=0.1073, over 14328.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04028, over 167.00 utterances.], tot_loss[loss=0.3072, simple_loss=0.3678, pruned_loss=0.1233, over 2784747.51 frames. utt_duration=250.3 frames, utt_pad_proportion=0.0691, over 44768.22 utterances.], batch size: 167, lr: 4.25e-04
+2022-09-17 21:52:39,813 INFO [train.py:885] (1/2) Epoch 11, batch 2000, loss[loss=0.3681, simple_loss=0.4226, pruned_loss=0.1568, over 14172.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04594, over 306.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.3694, pruned_loss=0.1237, over 2784247.05 frames. utt_duration=247 frames, utt_pad_proportion=0.07081, over 45356.85 utterances.], batch size: 306, lr: 4.25e-04
+2022-09-17 21:53:09,764 INFO [train.py:885] (1/2) Epoch 11, batch 2050, loss[loss=0.2591, simple_loss=0.3211, pruned_loss=0.09851, over 14107.00 frames. utt_duration=577.2 frames, utt_pad_proportion=0.05221, over 98.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.3678, pruned_loss=0.1229, over 2785070.35 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06939, over 44784.84 utterances.], batch size: 98, lr: 4.25e-04
+2022-09-17 21:53:39,686 INFO [train.py:885] (1/2) Epoch 11, batch 2100, loss[loss=0.348, simple_loss=0.4243, pruned_loss=0.1359, over 13722.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07479, over 411.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.3671, pruned_loss=0.1221, over 2780055.60 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07206, over 44623.58 utterances.], batch size: 411, lr: 4.25e-04
+2022-09-17 21:54:10,043 INFO [train.py:885] (1/2) Epoch 11, batch 2150, loss[loss=0.4652, simple_loss=0.5236, pruned_loss=0.2034, over 13639.00 frames. utt_duration=98.79 frames, utt_pad_proportion=0.0767, over 560.00 utterances.], tot_loss[loss=0.3067, simple_loss=0.3676, pruned_loss=0.1229, over 2778247.75 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07148, over 44390.86 utterances.], batch size: 560, lr: 4.25e-04
+2022-09-17 21:54:38,651 INFO [train.py:885] (1/2) Epoch 11, batch 2200, loss[loss=0.1445, simple_loss=0.2078, pruned_loss=0.04062, over 12766.00 frames. utt_duration=2044 frames, utt_pad_proportion=0.147, over 25.00 utterances.], tot_loss[loss=0.3033, simple_loss=0.3648, pruned_loss=0.1208, over 2778650.36 frames. utt_duration=254 frames, utt_pad_proportion=0.07097, over 44017.33 utterances.], batch size: 25, lr: 4.24e-04
+2022-09-17 21:55:07,742 INFO [train.py:885] (1/2) Epoch 11, batch 2250, loss[loss=0.2946, simple_loss=0.3609, pruned_loss=0.1141, over 14247.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.04202, over 180.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3605, pruned_loss=0.1189, over 2781220.50 frames. utt_duration=264.1 frames, utt_pad_proportion=0.07012, over 42352.12 utterances.], batch size: 180, lr: 4.24e-04
+2022-09-17 21:55:38,022 INFO [train.py:885] (1/2) Epoch 11, batch 2300, loss[loss=0.3479, simple_loss=0.3846, pruned_loss=0.1556, over 14300.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.04057, over 130.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.3656, pruned_loss=0.1214, over 2781530.91 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07157, over 43983.68 utterances.], batch size: 130, lr: 4.24e-04
+2022-09-17 21:56:07,220 INFO [train.py:885] (1/2) Epoch 11, batch 2350, loss[loss=0.2757, simple_loss=0.3493, pruned_loss=0.101, over 14245.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04569, over 141.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3651, pruned_loss=0.1211, over 2785996.27 frames. utt_duration=257 frames, utt_pad_proportion=0.0692, over 43612.00 utterances.], batch size: 141, lr: 4.24e-04
+2022-09-17 21:56:37,159 INFO [train.py:885] (1/2) Epoch 11, batch 2400, loss[loss=0.4773, simple_loss=0.5446, pruned_loss=0.205, over 13187.00 frames. utt_duration=82.32 frames, utt_pad_proportion=0.1053, over 653.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3629, pruned_loss=0.1194, over 2782212.72 frames. utt_duration=256.5 frames, utt_pad_proportion=0.0684, over 43634.18 utterances.], batch size: 653, lr: 4.24e-04
+2022-09-17 21:57:06,583 INFO [train.py:885] (1/2) Epoch 11, batch 2450, loss[loss=0.4129, simple_loss=0.4614, pruned_loss=0.1822, over 13989.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05652, over 365.00 utterances.], tot_loss[loss=0.3027, simple_loss=0.3639, pruned_loss=0.1207, over 2781868.70 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06887, over 43494.60 utterances.], batch size: 365, lr: 4.24e-04
+2022-09-17 21:57:35,929 INFO [train.py:885] (1/2) Epoch 11, batch 2500, loss[loss=0.3563, simple_loss=0.4438, pruned_loss=0.1344, over 13646.00 frames. utt_duration=98.83 frames, utt_pad_proportion=0.07634, over 560.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.3661, pruned_loss=0.1223, over 2780605.05 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07089, over 44920.01 utterances.], batch size: 560, lr: 4.24e-04
+2022-09-17 21:58:11,960 INFO [train.py:885] (1/2) Epoch 11, batch 2550, loss[loss=0.4082, simple_loss=0.4772, pruned_loss=0.1696, over 13607.00 frames. utt_duration=98.55 frames, utt_pad_proportion=0.07897, over 560.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3691, pruned_loss=0.1227, over 2782942.47 frames. utt_duration=241 frames, utt_pad_proportion=0.07065, over 46465.49 utterances.], batch size: 560, lr: 4.24e-04
+2022-09-17 21:58:41,617 INFO [train.py:885] (1/2) Epoch 11, batch 2600, loss[loss=0.2875, simple_loss=0.3581, pruned_loss=0.1084, over 14249.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04537, over 141.00 utterances.], tot_loss[loss=0.3086, simple_loss=0.37, pruned_loss=0.1236, over 2786740.80 frames. utt_duration=243 frames, utt_pad_proportion=0.06848, over 46154.40 utterances.], batch size: 141, lr: 4.24e-04
+2022-09-17 21:59:10,781 INFO [train.py:885] (1/2) Epoch 11, batch 2650, loss[loss=0.1906, simple_loss=0.2456, pruned_loss=0.0678, over 13071.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1141, over 33.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.3597, pruned_loss=0.1185, over 2778804.66 frames. utt_duration=264.1 frames, utt_pad_proportion=0.06692, over 42315.15 utterances.], batch size: 33, lr: 4.24e-04
+2022-09-17 21:59:40,926 INFO [train.py:885] (1/2) Epoch 11, batch 2700, loss[loss=0.5351, simple_loss=0.6062, pruned_loss=0.232, over 12366.00 frames. utt_duration=62.7 frames, utt_pad_proportion=0.1528, over 810.00 utterances.], tot_loss[loss=0.3066, simple_loss=0.3677, pruned_loss=0.1228, over 2775274.71 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07301, over 45567.20 utterances.], batch size: 810, lr: 4.24e-04
+2022-09-17 22:00:10,903 INFO [train.py:885] (1/2) Epoch 11, batch 2750, loss[loss=0.2389, simple_loss=0.2977, pruned_loss=0.09007, over 14022.00 frames. utt_duration=573.9 frames, utt_pad_proportion=0.05761, over 98.00 utterances.], tot_loss[loss=0.3106, simple_loss=0.3707, pruned_loss=0.1253, over 2778642.55 frames. utt_duration=243.1 frames, utt_pad_proportion=0.0725, over 46000.24 utterances.], batch size: 98, lr: 4.24e-04
+2022-09-17 22:00:40,064 INFO [train.py:885] (1/2) Epoch 11, batch 2800, loss[loss=0.664, simple_loss=0.6875, pruned_loss=0.3203, over 12440.00 frames. utt_duration=63 frames, utt_pad_proportion=0.1486, over 810.00 utterances.], tot_loss[loss=0.309, simple_loss=0.369, pruned_loss=0.1245, over 2778795.87 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07296, over 45387.75 utterances.], batch size: 810, lr: 4.23e-04
+2022-09-17 22:01:09,222 INFO [train.py:885] (1/2) Epoch 11, batch 2850, loss[loss=0.1886, simple_loss=0.2627, pruned_loss=0.05723, over 14035.00 frames. utt_duration=803.3 frames, utt_pad_proportion=0.06162, over 70.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3677, pruned_loss=0.1238, over 2783089.50 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07124, over 44504.35 utterances.], batch size: 70, lr: 4.23e-04
+2022-09-17 22:01:39,175 INFO [train.py:885] (1/2) Epoch 11, batch 2900, loss[loss=0.2108, simple_loss=0.2742, pruned_loss=0.07373, over 13840.00 frames. utt_duration=804 frames, utt_pad_proportion=0.06406, over 69.00 utterances.], tot_loss[loss=0.3064, simple_loss=0.3667, pruned_loss=0.1231, over 2783490.80 frames. utt_duration=253.7 frames, utt_pad_proportion=0.0695, over 44139.15 utterances.], batch size: 69, lr: 4.23e-04
+2022-09-17 22:02:08,971 INFO [train.py:885] (1/2) Epoch 11, batch 2950, loss[loss=0.2293, simple_loss=0.2852, pruned_loss=0.08674, over 13754.00 frames. utt_duration=799.1 frames, utt_pad_proportion=0.06976, over 69.00 utterances.], tot_loss[loss=0.3148, simple_loss=0.3739, pruned_loss=0.1279, over 2782876.59 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07022, over 46213.05 utterances.], batch size: 69, lr: 4.23e-04
+2022-09-17 22:02:38,248 INFO [train.py:885] (1/2) Epoch 11, batch 3000, loss[loss=0.3243, simple_loss=0.3853, pruned_loss=0.1317, over 14380.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.0357, over 244.00 utterances.], tot_loss[loss=0.3096, simple_loss=0.3689, pruned_loss=0.1251, over 2784806.39 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06873, over 44454.06 utterances.], batch size: 244, lr: 4.23e-04
+2022-09-17 22:02:38,248 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 22:02:42,981 INFO [train.py:914] (1/2) Epoch 11, validation: loss=0.1964, simple_loss=0.2746, pruned_loss=0.05905, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 22:03:12,757 INFO [train.py:885] (1/2) Epoch 11, batch 3050, loss[loss=0.2089, simple_loss=0.2576, pruned_loss=0.08009, over 13043.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.1146, over 33.00 utterances.], tot_loss[loss=0.3125, simple_loss=0.3716, pruned_loss=0.1268, over 2784515.57 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06968, over 45396.02 utterances.], batch size: 33, lr: 4.23e-04
+2022-09-17 22:03:42,828 INFO [train.py:885] (1/2) Epoch 11, batch 3100, loss[loss=0.2049, simple_loss=0.2757, pruned_loss=0.06703, over 13732.00 frames. utt_duration=916.7 frames, utt_pad_proportion=0.07964, over 60.00 utterances.], tot_loss[loss=0.3111, simple_loss=0.3704, pruned_loss=0.1259, over 2784854.65 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06847, over 45133.08 utterances.], batch size: 60, lr: 4.23e-04
+2022-09-17 22:04:12,040 INFO [train.py:885] (1/2) Epoch 11, batch 3150, loss[loss=0.2975, simple_loss=0.3753, pruned_loss=0.1098, over 14246.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04222, over 225.00 utterances.], tot_loss[loss=0.3136, simple_loss=0.3736, pruned_loss=0.1268, over 2788335.60 frames. utt_duration=241.6 frames, utt_pad_proportion=0.06995, over 46446.70 utterances.], batch size: 225, lr: 4.23e-04
+2022-09-17 22:04:41,945 INFO [train.py:885] (1/2) Epoch 11, batch 3200, loss[loss=0.5514, simple_loss=0.616, pruned_loss=0.2434, over 12544.00 frames. utt_duration=63.45 frames, utt_pad_proportion=0.1426, over 811.00 utterances.], tot_loss[loss=0.3116, simple_loss=0.3718, pruned_loss=0.1257, over 2784998.58 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07144, over 46635.96 utterances.], batch size: 811, lr: 4.23e-04
+2022-09-17 22:05:11,243 INFO [train.py:885] (1/2) Epoch 11, batch 3250, loss[loss=0.2867, simple_loss=0.3581, pruned_loss=0.1077, over 14342.00 frames. utt_duration=479.5 frames, utt_pad_proportion=0.03718, over 120.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.3688, pruned_loss=0.124, over 2782239.38 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07101, over 45734.71 utterances.], batch size: 120, lr: 4.23e-04
+2022-09-17 22:05:40,387 INFO [train.py:885] (1/2) Epoch 11, batch 3300, loss[loss=0.1622, simple_loss=0.21, pruned_loss=0.05716, over 13629.00 frames. utt_duration=1299 frames, utt_pad_proportion=0.0738, over 42.00 utterances.], tot_loss[loss=0.3028, simple_loss=0.3635, pruned_loss=0.1211, over 2780010.37 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07019, over 44432.27 utterances.], batch size: 42, lr: 4.23e-04
+2022-09-17 22:06:09,523 INFO [train.py:885] (1/2) Epoch 11, batch 3350, loss[loss=0.39, simple_loss=0.4566, pruned_loss=0.1617, over 13739.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07418, over 411.00 utterances.], tot_loss[loss=0.3036, simple_loss=0.3643, pruned_loss=0.1214, over 2779576.27 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07108, over 44485.06 utterances.], batch size: 411, lr: 4.23e-04
+2022-09-17 22:06:39,565 INFO [train.py:885] (1/2) Epoch 11, batch 3400, loss[loss=0.2791, simple_loss=0.3466, pruned_loss=0.1059, over 14304.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03973, over 120.00 utterances.], tot_loss[loss=0.3035, simple_loss=0.3647, pruned_loss=0.1211, over 2779015.17 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07006, over 44647.60 utterances.], batch size: 120, lr: 4.23e-04
+2022-09-17 22:07:09,309 INFO [train.py:885] (1/2) Epoch 11, batch 3450, loss[loss=0.3332, simple_loss=0.4267, pruned_loss=0.1198, over 13589.00 frames. utt_duration=98.51 frames, utt_pad_proportion=0.07936, over 560.00 utterances.], tot_loss[loss=0.3044, simple_loss=0.3656, pruned_loss=0.1216, over 2775451.72 frames. utt_duration=246 frames, utt_pad_proportion=0.07064, over 45409.50 utterances.], batch size: 560, lr: 4.22e-04
+2022-09-17 22:07:39,043 INFO [train.py:885] (1/2) Epoch 11, batch 3500, loss[loss=0.4291, simple_loss=0.4565, pruned_loss=0.2009, over 14237.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04324, over 335.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3667, pruned_loss=0.1224, over 2779225.13 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06906, over 44644.06 utterances.], batch size: 335, lr: 4.22e-04
+2022-09-17 22:08:08,199 INFO [train.py:885] (1/2) Epoch 11, batch 3550, loss[loss=0.2875, simple_loss=0.3491, pruned_loss=0.1129, over 14352.00 frames. utt_duration=479.8 frames, utt_pad_proportion=0.03658, over 120.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3651, pruned_loss=0.1211, over 2778612.32 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07037, over 44431.41 utterances.], batch size: 120, lr: 4.22e-04
+2022-09-17 22:08:37,848 INFO [train.py:885] (1/2) Epoch 11, batch 3600, loss[loss=0.3072, simple_loss=0.3927, pruned_loss=0.1108, over 14023.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05418, over 365.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3656, pruned_loss=0.1217, over 2783826.80 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06822, over 44211.20 utterances.], batch size: 365, lr: 4.22e-04
+2022-09-17 22:09:06,802 INFO [train.py:885] (1/2) Epoch 11, batch 3650, loss[loss=0.2154, simple_loss=0.2812, pruned_loss=0.07475, over 13987.00 frames. utt_duration=709.4 frames, utt_pad_proportion=0.06037, over 79.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.3679, pruned_loss=0.1229, over 2781247.18 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07039, over 45341.97 utterances.], batch size: 79, lr: 4.22e-04
+2022-09-17 22:09:36,803 INFO [train.py:885] (1/2) Epoch 11, batch 3700, loss[loss=0.4475, simple_loss=0.4676, pruned_loss=0.2137, over 14359.00 frames. utt_duration=220.6 frames, utt_pad_proportion=0.03678, over 262.00 utterances.], tot_loss[loss=0.3089, simple_loss=0.3693, pruned_loss=0.1242, over 2779328.54 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07165, over 45861.84 utterances.], batch size: 262, lr: 4.22e-04
+2022-09-17 22:10:07,092 INFO [train.py:885] (1/2) Epoch 11, batch 3750, loss[loss=0.1766, simple_loss=0.2399, pruned_loss=0.05666, over 12165.00 frames. utt_duration=2029 frames, utt_pad_proportion=0.1648, over 24.00 utterances.], tot_loss[loss=0.3096, simple_loss=0.3705, pruned_loss=0.1243, over 2772160.66 frames. utt_duration=238 frames, utt_pad_proportion=0.07408, over 46883.51 utterances.], batch size: 24, lr: 4.22e-04
+2022-09-17 22:10:35,920 INFO [train.py:885] (1/2) Epoch 11, batch 3800, loss[loss=0.3028, simple_loss=0.37, pruned_loss=0.1178, over 14265.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04038, over 225.00 utterances.], tot_loss[loss=0.3107, simple_loss=0.3712, pruned_loss=0.1251, over 2779335.98 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07251, over 46049.47 utterances.], batch size: 225, lr: 4.22e-04
+2022-09-17 22:11:05,832 INFO [train.py:885] (1/2) Epoch 11, batch 3850, loss[loss=0.2195, simple_loss=0.2938, pruned_loss=0.07266, over 14198.00 frames. utt_duration=639.5 frames, utt_pad_proportion=0.04692, over 89.00 utterances.], tot_loss[loss=0.3147, simple_loss=0.3746, pruned_loss=0.1274, over 2779794.75 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07338, over 47300.42 utterances.], batch size: 89, lr: 4.22e-04
+2022-09-17 22:11:35,339 INFO [train.py:885] (1/2) Epoch 11, batch 3900, loss[loss=0.1813, simple_loss=0.2383, pruned_loss=0.06216, over 13285.00 frames. utt_duration=1612 frames, utt_pad_proportion=0.107, over 33.00 utterances.], tot_loss[loss=0.3137, simple_loss=0.3734, pruned_loss=0.127, over 2779296.78 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07244, over 46622.33 utterances.], batch size: 33, lr: 4.22e-04
+2022-09-17 22:12:04,979 INFO [train.py:885] (1/2) Epoch 11, batch 3950, loss[loss=0.2091, simple_loss=0.2714, pruned_loss=0.0734, over 13662.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.08047, over 50.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3696, pruned_loss=0.1247, over 2778711.71 frames. utt_duration=246 frames, utt_pad_proportion=0.07369, over 45448.80 utterances.], batch size: 50, lr: 4.22e-04
+2022-09-17 22:12:34,775 INFO [train.py:885] (1/2) Epoch 11, batch 4000, loss[loss=0.2622, simple_loss=0.3351, pruned_loss=0.09464, over 14250.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04536, over 141.00 utterances.], tot_loss[loss=0.3063, simple_loss=0.3672, pruned_loss=0.1227, over 2785186.68 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07019, over 44570.70 utterances.], batch size: 141, lr: 4.22e-04
+2022-09-17 22:13:04,052 INFO [train.py:885] (1/2) Epoch 11, batch 4050, loss[loss=0.311, simple_loss=0.3819, pruned_loss=0.12, over 14248.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04197, over 225.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.3667, pruned_loss=0.1221, over 2782972.01 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07016, over 45005.65 utterances.], batch size: 225, lr: 4.21e-04
+2022-09-17 22:13:33,456 INFO [train.py:885] (1/2) Epoch 11, batch 4100, loss[loss=0.346, simple_loss=0.395, pruned_loss=0.1484, over 14309.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03904, over 195.00 utterances.], tot_loss[loss=0.3049, simple_loss=0.365, pruned_loss=0.1224, over 2780062.16 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07223, over 44305.34 utterances.], batch size: 195, lr: 4.21e-04
+2022-09-17 22:14:03,841 INFO [train.py:885] (1/2) Epoch 11, batch 4150, loss[loss=0.5646, simple_loss=0.6181, pruned_loss=0.2556, over 12503.00 frames. utt_duration=63.28 frames, utt_pad_proportion=0.1448, over 811.00 utterances.], tot_loss[loss=0.3121, simple_loss=0.3716, pruned_loss=0.1263, over 2779857.34 frames. utt_duration=241.8 frames, utt_pad_proportion=0.0738, over 46261.91 utterances.], batch size: 811, lr: 4.21e-04
+2022-09-17 22:14:32,527 INFO [train.py:885] (1/2) Epoch 11, batch 4200, loss[loss=0.2001, simple_loss=0.2689, pruned_loss=0.06568, over 13795.00 frames. utt_duration=1315 frames, utt_pad_proportion=0.07636, over 42.00 utterances.], tot_loss[loss=0.3098, simple_loss=0.3694, pruned_loss=0.1251, over 2777108.65 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07339, over 45731.15 utterances.], batch size: 42, lr: 4.21e-04
+2022-09-17 22:15:03,413 INFO [train.py:885] (1/2) Epoch 11, batch 4250, loss[loss=0.5598, simple_loss=0.6246, pruned_loss=0.2475, over 12554.00 frames. utt_duration=63.54 frames, utt_pad_proportion=0.1413, over 810.00 utterances.], tot_loss[loss=0.3128, simple_loss=0.3721, pruned_loss=0.1268, over 2774795.80 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07556, over 46596.27 utterances.], batch size: 810, lr: 4.21e-04
+2022-09-17 22:15:32,860 INFO [train.py:885] (1/2) Epoch 11, batch 4300, loss[loss=0.3546, simple_loss=0.4448, pruned_loss=0.1322, over 13598.00 frames. utt_duration=98.49 frames, utt_pad_proportion=0.07952, over 560.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.3685, pruned_loss=0.1251, over 2776397.48 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07202, over 45321.62 utterances.], batch size: 560, lr: 4.21e-04
+2022-09-17 22:16:02,405 INFO [train.py:885] (1/2) Epoch 11, batch 4350, loss[loss=0.1781, simple_loss=0.2439, pruned_loss=0.05617, over 13912.00 frames. utt_duration=928.9 frames, utt_pad_proportion=0.06642, over 60.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3673, pruned_loss=0.1237, over 2777206.09 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07169, over 45166.82 utterances.], batch size: 60, lr: 4.21e-04
+2022-09-17 22:16:31,682 INFO [train.py:885] (1/2) Epoch 11, batch 4400, loss[loss=0.3401, simple_loss=0.4013, pruned_loss=0.1395, over 14311.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03874, over 283.00 utterances.], tot_loss[loss=0.3098, simple_loss=0.3701, pruned_loss=0.1247, over 2776700.80 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07177, over 46148.11 utterances.], batch size: 283, lr: 4.21e-04
+2022-09-17 22:17:00,958 INFO [train.py:885] (1/2) Epoch 11, batch 4450, loss[loss=0.228, simple_loss=0.2852, pruned_loss=0.08534, over 12898.00 frames. utt_duration=2065 frames, utt_pad_proportion=0.1393, over 25.00 utterances.], tot_loss[loss=0.3119, simple_loss=0.3724, pruned_loss=0.1257, over 2778517.21 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07254, over 46869.40 utterances.], batch size: 25, lr: 4.21e-04
+2022-09-17 22:17:30,045 INFO [train.py:885] (1/2) Epoch 11, batch 4500, loss[loss=0.2172, simple_loss=0.2741, pruned_loss=0.08014, over 13466.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.09275, over 50.00 utterances.], tot_loss[loss=0.309, simple_loss=0.3701, pruned_loss=0.124, over 2774313.43 frames. utt_duration=240.7 frames, utt_pad_proportion=0.0743, over 46389.16 utterances.], batch size: 50, lr: 4.21e-04
+2022-09-17 22:17:59,522 INFO [train.py:885] (1/2) Epoch 11, batch 4550, loss[loss=0.2578, simple_loss=0.3164, pruned_loss=0.09956, over 14064.00 frames. utt_duration=575.5 frames, utt_pad_proportion=0.05662, over 98.00 utterances.], tot_loss[loss=0.3095, simple_loss=0.3706, pruned_loss=0.1242, over 2774998.63 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07388, over 46695.08 utterances.], batch size: 98, lr: 4.21e-04
+2022-09-17 22:18:28,786 INFO [train.py:885] (1/2) Epoch 11, batch 4600, loss[loss=0.3305, simple_loss=0.3859, pruned_loss=0.1376, over 14361.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03521, over 195.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3689, pruned_loss=0.1233, over 2775505.33 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07349, over 46416.83 utterances.], batch size: 195, lr: 4.21e-04
+2022-09-17 22:18:58,666 INFO [train.py:885] (1/2) Epoch 11, batch 4650, loss[loss=0.3473, simple_loss=0.3979, pruned_loss=0.1484, over 14354.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03586, over 210.00 utterances.], tot_loss[loss=0.3092, simple_loss=0.3701, pruned_loss=0.1241, over 2774214.36 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07467, over 47078.15 utterances.], batch size: 210, lr: 4.20e-04
+2022-09-17 22:19:27,607 INFO [train.py:885] (1/2) Epoch 11, batch 4700, loss[loss=0.3389, simple_loss=0.4004, pruned_loss=0.1387, over 14301.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.0404, over 262.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3665, pruned_loss=0.1226, over 2778058.81 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07176, over 44341.97 utterances.], batch size: 262, lr: 4.20e-04
+2022-09-17 22:19:57,270 INFO [train.py:885] (1/2) Epoch 11, batch 4750, loss[loss=0.2873, simple_loss=0.3541, pruned_loss=0.1103, over 14378.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03723, over 167.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3684, pruned_loss=0.1227, over 2775607.80 frames. utt_duration=247 frames, utt_pad_proportion=0.07177, over 45217.43 utterances.], batch size: 167, lr: 4.20e-04
+2022-09-17 22:20:26,632 INFO [train.py:885] (1/2) Epoch 11, batch 4800, loss[loss=0.5539, simple_loss=0.6263, pruned_loss=0.2408, over 12506.00 frames. utt_duration=63.27 frames, utt_pad_proportion=0.1449, over 811.00 utterances.], tot_loss[loss=0.3102, simple_loss=0.3714, pruned_loss=0.1246, over 2775994.29 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07137, over 46027.42 utterances.], batch size: 811, lr: 4.20e-04
+2022-09-17 22:20:56,654 INFO [train.py:885] (1/2) Epoch 11, batch 4850, loss[loss=0.1955, simple_loss=0.2605, pruned_loss=0.06525, over 14036.00 frames. utt_duration=712.2 frames, utt_pad_proportion=0.05795, over 79.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3686, pruned_loss=0.123, over 2776520.81 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07068, over 45635.27 utterances.], batch size: 79, lr: 4.20e-04
+2022-09-17 22:21:25,784 INFO [train.py:885] (1/2) Epoch 11, batch 4900, loss[loss=0.3058, simple_loss=0.3743, pruned_loss=0.1187, over 14299.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.0402, over 283.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3689, pruned_loss=0.1226, over 2774942.70 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07284, over 46041.04 utterances.], batch size: 283, lr: 4.20e-04
+2022-09-17 22:21:55,699 INFO [train.py:885] (1/2) Epoch 11, batch 4950, loss[loss=0.2314, simple_loss=0.3131, pruned_loss=0.07486, over 14197.00 frames. utt_duration=522.1 frames, utt_pad_proportion=0.0437, over 109.00 utterances.], tot_loss[loss=0.3075, simple_loss=0.3691, pruned_loss=0.123, over 2772052.14 frames. utt_duration=244.9 frames, utt_pad_proportion=0.0727, over 45556.06 utterances.], batch size: 109, lr: 4.20e-04
+2022-09-17 22:22:25,128 INFO [train.py:885] (1/2) Epoch 11, batch 5000, loss[loss=0.1967, simple_loss=0.2581, pruned_loss=0.06766, over 13558.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08719, over 50.00 utterances.], tot_loss[loss=0.3088, simple_loss=0.371, pruned_loss=0.1233, over 2769679.72 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07546, over 46879.73 utterances.], batch size: 50, lr: 4.20e-04
+2022-09-17 22:22:57,177 INFO [train.py:885] (1/2) Epoch 11, batch 5050, loss[loss=0.3856, simple_loss=0.432, pruned_loss=0.1696, over 14242.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04252, over 335.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.3689, pruned_loss=0.1224, over 2773775.73 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07353, over 46139.35 utterances.], batch size: 335, lr: 4.20e-04
+2022-09-17 22:23:27,054 INFO [train.py:885] (1/2) Epoch 11, batch 5100, loss[loss=0.2095, simple_loss=0.2692, pruned_loss=0.07487, over 13984.00 frames. utt_duration=709.5 frames, utt_pad_proportion=0.06271, over 79.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.3675, pruned_loss=0.1219, over 2776898.36 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07206, over 45127.24 utterances.], batch size: 79, lr: 4.20e-04
+2022-09-17 22:23:56,444 INFO [train.py:885] (1/2) Epoch 11, batch 5150, loss[loss=0.3163, simple_loss=0.3861, pruned_loss=0.1233, over 14304.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04047, over 262.00 utterances.], tot_loss[loss=0.3111, simple_loss=0.3717, pruned_loss=0.1252, over 2780823.44 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07039, over 46175.34 utterances.], batch size: 262, lr: 4.20e-04
+2022-09-17 22:24:26,114 INFO [train.py:885] (1/2) Epoch 11, batch 5200, loss[loss=0.3427, simple_loss=0.3997, pruned_loss=0.1429, over 14361.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03269, over 244.00 utterances.], tot_loss[loss=0.3103, simple_loss=0.3707, pruned_loss=0.125, over 2779799.58 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07078, over 45723.47 utterances.], batch size: 244, lr: 4.20e-04
+2022-09-17 22:24:55,785 INFO [train.py:885] (1/2) Epoch 11, batch 5250, loss[loss=0.2952, simple_loss=0.3542, pruned_loss=0.1181, over 14295.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.03889, over 154.00 utterances.], tot_loss[loss=0.3096, simple_loss=0.3693, pruned_loss=0.1249, over 2778731.74 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07001, over 45665.53 utterances.], batch size: 154, lr: 4.20e-04
+2022-09-17 22:25:25,598 INFO [train.py:885] (1/2) Epoch 11, batch 5300, loss[loss=0.3745, simple_loss=0.4199, pruned_loss=0.1646, over 14316.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03879, over 283.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.3679, pruned_loss=0.1241, over 2783305.98 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06969, over 44602.53 utterances.], batch size: 283, lr: 4.19e-04
+2022-09-17 22:25:54,924 INFO [train.py:885] (1/2) Epoch 11, batch 5350, loss[loss=0.3514, simple_loss=0.4207, pruned_loss=0.1411, over 13945.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05879, over 365.00 utterances.], tot_loss[loss=0.3056, simple_loss=0.3659, pruned_loss=0.1226, over 2784395.28 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06887, over 43887.39 utterances.], batch size: 365, lr: 4.19e-04
+2022-09-17 22:26:24,960 INFO [train.py:885] (1/2) Epoch 11, batch 5400, loss[loss=0.3294, simple_loss=0.365, pruned_loss=0.1469, over 14252.00 frames. utt_duration=439.8 frames, utt_pad_proportion=0.04181, over 130.00 utterances.], tot_loss[loss=0.3089, simple_loss=0.3695, pruned_loss=0.1242, over 2779258.14 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07239, over 46141.63 utterances.], batch size: 130, lr: 4.19e-04
+2022-09-17 22:26:54,025 INFO [train.py:885] (1/2) Epoch 11, batch 5450, loss[loss=0.3602, simple_loss=0.4096, pruned_loss=0.1554, over 14270.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04052, over 225.00 utterances.], tot_loss[loss=0.3052, simple_loss=0.3657, pruned_loss=0.1224, over 2786654.15 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06922, over 44151.82 utterances.], batch size: 225, lr: 4.19e-04
+2022-09-17 22:27:23,654 INFO [train.py:885] (1/2) Epoch 11, batch 5500, loss[loss=0.4226, simple_loss=0.4909, pruned_loss=0.1772, over 13583.00 frames. utt_duration=98.43 frames, utt_pad_proportion=0.08012, over 560.00 utterances.], tot_loss[loss=0.3083, simple_loss=0.3682, pruned_loss=0.1242, over 2779865.52 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07225, over 45516.29 utterances.], batch size: 560, lr: 4.19e-04
+2022-09-17 22:27:53,801 INFO [train.py:885] (1/2) Epoch 11, batch 5550, loss[loss=0.2153, simple_loss=0.2731, pruned_loss=0.07871, over 13984.00 frames. utt_duration=800.5 frames, utt_pad_proportion=0.06588, over 70.00 utterances.], tot_loss[loss=0.3055, simple_loss=0.3665, pruned_loss=0.1223, over 2776108.29 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07391, over 45721.45 utterances.], batch size: 70, lr: 4.19e-04
+2022-09-17 22:28:22,056 INFO [train.py:885] (1/2) Epoch 11, batch 5600, loss[loss=0.3529, simple_loss=0.4409, pruned_loss=0.1325, over 13654.00 frames. utt_duration=98.89 frames, utt_pad_proportion=0.07582, over 560.00 utterances.], tot_loss[loss=0.3078, simple_loss=0.3691, pruned_loss=0.1233, over 2780928.62 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07108, over 46041.41 utterances.], batch size: 560, lr: 4.19e-04
+2022-09-17 22:28:52,300 INFO [train.py:885] (1/2) Epoch 11, batch 5650, loss[loss=0.3203, simple_loss=0.4074, pruned_loss=0.1166, over 13798.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07155, over 412.00 utterances.], tot_loss[loss=0.3071, simple_loss=0.3683, pruned_loss=0.1229, over 2781573.07 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07229, over 45570.99 utterances.], batch size: 412, lr: 4.19e-04
+2022-09-17 22:29:22,098 INFO [train.py:885] (1/2) Epoch 11, batch 5700, loss[loss=0.42, simple_loss=0.4452, pruned_loss=0.1974, over 14386.00 frames. utt_duration=296.6 frames, utt_pad_proportion=0.03399, over 195.00 utterances.], tot_loss[loss=0.311, simple_loss=0.3722, pruned_loss=0.1249, over 2782373.38 frames. utt_duration=239 frames, utt_pad_proportion=0.07176, over 46852.54 utterances.], batch size: 195, lr: 4.19e-04
+2022-09-17 22:29:51,657 INFO [train.py:885] (1/2) Epoch 11, batch 5750, loss[loss=0.316, simple_loss=0.3732, pruned_loss=0.1294, over 14301.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03942, over 226.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3687, pruned_loss=0.1233, over 2786448.78 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06942, over 44946.58 utterances.], batch size: 226, lr: 4.19e-04
+2022-09-17 22:30:20,866 INFO [train.py:885] (1/2) Epoch 11, batch 5800, loss[loss=0.1686, simple_loss=0.234, pruned_loss=0.05162, over 13285.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.09398, over 41.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3668, pruned_loss=0.1224, over 2777152.07 frames. utt_duration=251.3 frames, utt_pad_proportion=0.0707, over 44469.35 utterances.], batch size: 41, lr: 4.19e-04
+2022-09-17 22:30:50,609 INFO [train.py:885] (1/2) Epoch 11, batch 5850, loss[loss=0.1698, simple_loss=0.2328, pruned_loss=0.05341, over 13544.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08343, over 50.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3624, pruned_loss=0.1202, over 2778779.66 frames. utt_duration=259.8 frames, utt_pad_proportion=0.06919, over 43024.26 utterances.], batch size: 50, lr: 4.19e-04
+2022-09-17 22:31:20,021 INFO [train.py:885] (1/2) Epoch 11, batch 5900, loss[loss=0.2404, simple_loss=0.2986, pruned_loss=0.09105, over 13797.00 frames. utt_duration=801.4 frames, utt_pad_proportion=0.06706, over 69.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3637, pruned_loss=0.1206, over 2782181.11 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06885, over 43778.26 utterances.], batch size: 69, lr: 4.18e-04
+2022-09-17 22:31:49,794 INFO [train.py:885] (1/2) Epoch 11, batch 5950, loss[loss=0.3207, simple_loss=0.3898, pruned_loss=0.1258, over 14345.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03433, over 244.00 utterances.], tot_loss[loss=0.3041, simple_loss=0.3649, pruned_loss=0.1217, over 2786144.79 frames. utt_duration=258.5 frames, utt_pad_proportion=0.06752, over 43358.45 utterances.], batch size: 244, lr: 4.18e-04
+2022-09-17 22:32:19,703 INFO [train.py:885] (1/2) Epoch 11, batch 6000, loss[loss=0.391, simple_loss=0.4593, pruned_loss=0.1613, over 13610.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08191, over 477.00 utterances.], tot_loss[loss=0.3067, simple_loss=0.3675, pruned_loss=0.123, over 2781304.25 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07217, over 45231.09 utterances.], batch size: 477, lr: 4.18e-04
+2022-09-17 22:32:19,704 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 22:32:24,491 INFO [train.py:914] (1/2) Epoch 11, validation: loss=0.2073, simple_loss=0.2838, pruned_loss=0.06541, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 22:32:54,102 INFO [train.py:885] (1/2) Epoch 11, batch 6050, loss[loss=0.2525, simple_loss=0.3266, pruned_loss=0.08924, over 14270.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.04409, over 141.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3659, pruned_loss=0.1216, over 2781752.36 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07142, over 44840.72 utterances.], batch size: 141, lr: 4.18e-04
+2022-09-17 22:33:24,194 INFO [train.py:885] (1/2) Epoch 11, batch 6100, loss[loss=0.3365, simple_loss=0.397, pruned_loss=0.138, over 14352.00 frames. utt_duration=220.6 frames, utt_pad_proportion=0.03675, over 262.00 utterances.], tot_loss[loss=0.3063, simple_loss=0.3676, pruned_loss=0.1225, over 2783132.95 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07206, over 45452.14 utterances.], batch size: 262, lr: 4.18e-04
+2022-09-17 22:33:53,759 INFO [train.py:885] (1/2) Epoch 11, batch 6150, loss[loss=0.3466, simple_loss=0.3979, pruned_loss=0.1477, over 14313.00 frames. utt_duration=274 frames, utt_pad_proportion=0.03858, over 210.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.366, pruned_loss=0.1215, over 2782515.60 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07326, over 44999.86 utterances.], batch size: 210, lr: 4.18e-04
+2022-09-17 22:34:22,947 INFO [train.py:885] (1/2) Epoch 11, batch 6200, loss[loss=0.3311, simple_loss=0.3994, pruned_loss=0.1313, over 14001.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05541, over 365.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.3666, pruned_loss=0.1219, over 2782442.40 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07174, over 45051.01 utterances.], batch size: 365, lr: 4.18e-04
+2022-09-17 22:34:52,836 INFO [train.py:885] (1/2) Epoch 11, batch 6250, loss[loss=0.3098, simple_loss=0.3726, pruned_loss=0.1235, over 14308.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03978, over 262.00 utterances.], tot_loss[loss=0.3067, simple_loss=0.3685, pruned_loss=0.1225, over 2781874.70 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07303, over 45987.28 utterances.], batch size: 262, lr: 4.18e-04
+2022-09-17 22:35:22,671 INFO [train.py:885] (1/2) Epoch 11, batch 6300, loss[loss=0.2186, simple_loss=0.2861, pruned_loss=0.07557, over 14165.00 frames. utt_duration=637.9 frames, utt_pad_proportion=0.04642, over 89.00 utterances.], tot_loss[loss=0.3101, simple_loss=0.3709, pruned_loss=0.1247, over 2783841.81 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07299, over 46070.06 utterances.], batch size: 89, lr: 4.18e-04
+2022-09-17 22:35:52,245 INFO [train.py:885] (1/2) Epoch 11, batch 6350, loss[loss=0.3808, simple_loss=0.432, pruned_loss=0.1648, over 14253.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04187, over 306.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3682, pruned_loss=0.1235, over 2782409.23 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07158, over 45304.77 utterances.], batch size: 306, lr: 4.18e-04
+2022-09-17 22:36:20,644 INFO [train.py:885] (1/2) Epoch 11, batch 6400, loss[loss=0.3127, simple_loss=0.3787, pruned_loss=0.1234, over 14232.00 frames. utt_duration=254.4 frames, utt_pad_proportion=0.04343, over 225.00 utterances.], tot_loss[loss=0.3032, simple_loss=0.3633, pruned_loss=0.1216, over 2783616.35 frames. utt_duration=262.6 frames, utt_pad_proportion=0.06821, over 42643.31 utterances.], batch size: 225, lr: 4.18e-04
+2022-09-17 22:36:50,644 INFO [train.py:885] (1/2) Epoch 11, batch 6450, loss[loss=0.1907, simple_loss=0.2571, pruned_loss=0.06219, over 13240.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1091, over 33.00 utterances.], tot_loss[loss=0.3083, simple_loss=0.369, pruned_loss=0.1238, over 2784738.02 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06954, over 45355.85 utterances.], batch size: 33, lr: 4.18e-04
+2022-09-17 22:37:19,604 INFO [train.py:885] (1/2) Epoch 11, batch 6500, loss[loss=0.3144, simple_loss=0.3757, pruned_loss=0.1266, over 14356.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03265, over 195.00 utterances.], tot_loss[loss=0.3044, simple_loss=0.3656, pruned_loss=0.1216, over 2781487.89 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07024, over 44454.36 utterances.], batch size: 195, lr: 4.18e-04
+2022-09-17 22:37:49,428 INFO [train.py:885] (1/2) Epoch 11, batch 6550, loss[loss=0.323, simple_loss=0.3811, pruned_loss=0.1324, over 14327.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0383, over 283.00 utterances.], tot_loss[loss=0.3041, simple_loss=0.3654, pruned_loss=0.1214, over 2780990.85 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07083, over 45108.56 utterances.], batch size: 283, lr: 4.17e-04
+2022-09-17 22:38:19,618 INFO [train.py:885] (1/2) Epoch 11, batch 6600, loss[loss=0.4202, simple_loss=0.4998, pruned_loss=0.1703, over 13163.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1068, over 653.00 utterances.], tot_loss[loss=0.3023, simple_loss=0.3643, pruned_loss=0.1202, over 2778367.15 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07237, over 44934.11 utterances.], batch size: 653, lr: 4.17e-04
+2022-09-17 22:38:49,010 INFO [train.py:885] (1/2) Epoch 11, batch 6650, loss[loss=0.256, simple_loss=0.2981, pruned_loss=0.1069, over 12588.00 frames. utt_duration=2099 frames, utt_pad_proportion=0.1303, over 24.00 utterances.], tot_loss[loss=0.3039, simple_loss=0.3662, pruned_loss=0.1208, over 2777594.02 frames. utt_duration=243 frames, utt_pad_proportion=0.07315, over 46004.43 utterances.], batch size: 24, lr: 4.17e-04
+2022-09-17 22:39:18,767 INFO [train.py:885] (1/2) Epoch 11, batch 6700, loss[loss=0.3432, simple_loss=0.399, pruned_loss=0.1438, over 14327.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03812, over 283.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3696, pruned_loss=0.1228, over 2774221.96 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07555, over 47471.66 utterances.], batch size: 283, lr: 4.17e-04
+2022-09-17 22:39:48,509 INFO [train.py:885] (1/2) Epoch 11, batch 6750, loss[loss=0.4375, simple_loss=0.4947, pruned_loss=0.1901, over 13652.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07978, over 477.00 utterances.], tot_loss[loss=0.31, simple_loss=0.3712, pruned_loss=0.1244, over 2777974.13 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07329, over 47118.43 utterances.], batch size: 477, lr: 4.17e-04
+2022-09-17 22:40:18,373 INFO [train.py:885] (1/2) Epoch 11, batch 6800, loss[loss=0.4985, simple_loss=0.5085, pruned_loss=0.2443, over 14258.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04156, over 335.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.3696, pruned_loss=0.1232, over 2776346.35 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07286, over 46445.91 utterances.], batch size: 335, lr: 4.17e-04
+2022-09-17 22:40:47,965 INFO [train.py:885] (1/2) Epoch 11, batch 6850, loss[loss=0.5278, simple_loss=0.6105, pruned_loss=0.2225, over 12532.00 frames. utt_duration=63.47 frames, utt_pad_proportion=0.1423, over 810.00 utterances.], tot_loss[loss=0.3086, simple_loss=0.3708, pruned_loss=0.1233, over 2777905.13 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07385, over 47286.05 utterances.], batch size: 810, lr: 4.17e-04
+2022-09-17 22:41:17,237 INFO [train.py:885] (1/2) Epoch 11, batch 6900, loss[loss=0.3324, simple_loss=0.413, pruned_loss=0.1259, over 14009.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05499, over 365.00 utterances.], tot_loss[loss=0.305, simple_loss=0.3674, pruned_loss=0.1213, over 2774168.01 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07448, over 46610.00 utterances.], batch size: 365, lr: 4.17e-04
+2022-09-17 22:41:46,929 INFO [train.py:885] (1/2) Epoch 11, batch 6950, loss[loss=0.374, simple_loss=0.4149, pruned_loss=0.1666, over 14309.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03932, over 262.00 utterances.], tot_loss[loss=0.2996, simple_loss=0.3626, pruned_loss=0.1183, over 2777060.59 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07127, over 44330.05 utterances.], batch size: 262, lr: 4.17e-04
+2022-09-17 22:42:16,097 INFO [train.py:885] (1/2) Epoch 11, batch 7000, loss[loss=0.2056, simple_loss=0.2662, pruned_loss=0.07246, over 14060.00 frames. utt_duration=804.9 frames, utt_pad_proportion=0.05973, over 70.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3632, pruned_loss=0.1186, over 2782550.72 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07066, over 44944.77 utterances.], batch size: 70, lr: 4.17e-04
+2022-09-17 22:42:45,959 INFO [train.py:885] (1/2) Epoch 11, batch 7050, loss[loss=0.4686, simple_loss=0.4896, pruned_loss=0.2238, over 14207.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04441, over 335.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.3636, pruned_loss=0.1199, over 2781345.93 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06872, over 44490.97 utterances.], batch size: 335, lr: 4.17e-04
+2022-09-17 22:43:15,025 INFO [train.py:885] (1/2) Epoch 11, batch 7100, loss[loss=0.3748, simple_loss=0.4118, pruned_loss=0.1689, over 14218.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04373, over 335.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3618, pruned_loss=0.1189, over 2781213.86 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06775, over 44636.86 utterances.], batch size: 335, lr: 4.17e-04
+2022-09-17 22:43:44,773 INFO [train.py:885] (1/2) Epoch 11, batch 7150, loss[loss=0.1809, simple_loss=0.2398, pruned_loss=0.061, over 13410.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08429, over 41.00 utterances.], tot_loss[loss=0.3041, simple_loss=0.3662, pruned_loss=0.121, over 2781530.25 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07024, over 46422.93 utterances.], batch size: 41, lr: 4.17e-04
+2022-09-17 22:44:14,320 INFO [train.py:885] (1/2) Epoch 11, batch 7200, loss[loss=0.316, simple_loss=0.3782, pruned_loss=0.1269, over 14380.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03405, over 210.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.3701, pruned_loss=0.1242, over 2783375.01 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07056, over 47121.97 utterances.], batch size: 210, lr: 4.16e-04
+2022-09-17 22:44:44,119 INFO [train.py:885] (1/2) Epoch 11, batch 7250, loss[loss=0.3937, simple_loss=0.4328, pruned_loss=0.1773, over 14228.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04272, over 225.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3682, pruned_loss=0.1229, over 2785455.95 frames. utt_duration=242.8 frames, utt_pad_proportion=0.06872, over 46172.41 utterances.], batch size: 225, lr: 4.16e-04
+2022-09-17 22:45:13,502 INFO [train.py:885] (1/2) Epoch 11, batch 7300, loss[loss=0.2357, simple_loss=0.2971, pruned_loss=0.08713, over 14218.00 frames. utt_duration=721.3 frames, utt_pad_proportion=0.04593, over 79.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.3694, pruned_loss=0.1237, over 2782784.49 frames. utt_duration=241.4 frames, utt_pad_proportion=0.06987, over 46393.73 utterances.], batch size: 79, lr: 4.16e-04
+2022-09-17 22:45:43,196 INFO [train.py:885] (1/2) Epoch 11, batch 7350, loss[loss=0.2576, simple_loss=0.3195, pruned_loss=0.09781, over 14102.00 frames. utt_duration=577.1 frames, utt_pad_proportion=0.05396, over 98.00 utterances.], tot_loss[loss=0.3089, simple_loss=0.3693, pruned_loss=0.1243, over 2779118.96 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07123, over 46541.79 utterances.], batch size: 98, lr: 4.16e-04
+2022-09-17 22:46:12,939 INFO [train.py:885] (1/2) Epoch 11, batch 7400, loss[loss=0.3378, simple_loss=0.4124, pruned_loss=0.1316, over 14057.00 frames. utt_duration=155.5 frames, utt_pad_proportion=0.05195, over 365.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3682, pruned_loss=0.1235, over 2772943.51 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07331, over 46850.70 utterances.], batch size: 365, lr: 4.16e-04
+2022-09-17 22:46:42,281 INFO [train.py:885] (1/2) Epoch 11, batch 7450, loss[loss=0.3105, simple_loss=0.3743, pruned_loss=0.1233, over 14286.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03949, over 180.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3662, pruned_loss=0.1227, over 2777845.73 frames. utt_duration=245 frames, utt_pad_proportion=0.07159, over 45620.88 utterances.], batch size: 180, lr: 4.16e-04
+2022-09-17 22:47:12,270 INFO [train.py:885] (1/2) Epoch 11, batch 7500, loss[loss=0.3127, simple_loss=0.3765, pruned_loss=0.1245, over 14311.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04018, over 262.00 utterances.], tot_loss[loss=0.3061, simple_loss=0.3662, pruned_loss=0.123, over 2778342.10 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07115, over 45008.55 utterances.], batch size: 262, lr: 4.16e-04
+2022-09-17 22:47:41,619 INFO [train.py:885] (1/2) Epoch 11, batch 7550, loss[loss=0.5882, simple_loss=0.6451, pruned_loss=0.2657, over 12494.00 frames. utt_duration=63.18 frames, utt_pad_proportion=0.1461, over 811.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3648, pruned_loss=0.1221, over 2777724.48 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07034, over 44073.34 utterances.], batch size: 811, lr: 4.16e-04
+2022-09-17 22:48:11,670 INFO [train.py:885] (1/2) Epoch 11, batch 7600, loss[loss=0.2934, simple_loss=0.3516, pruned_loss=0.1176, over 14322.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.03847, over 120.00 utterances.], tot_loss[loss=0.3033, simple_loss=0.3641, pruned_loss=0.1212, over 2779519.12 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06924, over 43568.91 utterances.], batch size: 120, lr: 4.16e-04
+2022-09-17 22:48:41,495 INFO [train.py:885] (1/2) Epoch 11, batch 7650, loss[loss=0.3215, simple_loss=0.3765, pruned_loss=0.1333, over 14317.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04026, over 154.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3649, pruned_loss=0.1206, over 2777634.14 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07137, over 44803.21 utterances.], batch size: 154, lr: 4.16e-04
+2022-09-17 22:49:10,967 INFO [train.py:885] (1/2) Epoch 11, batch 7700, loss[loss=0.2243, simple_loss=0.299, pruned_loss=0.0748, over 14013.00 frames. utt_duration=710.6 frames, utt_pad_proportion=0.06004, over 79.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3609, pruned_loss=0.1188, over 2779857.40 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06898, over 43252.08 utterances.], batch size: 79, lr: 4.16e-04
+2022-09-17 22:49:40,153 INFO [train.py:885] (1/2) Epoch 11, batch 7750, loss[loss=0.3064, simple_loss=0.3755, pruned_loss=0.1186, over 14368.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.0363, over 244.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.364, pruned_loss=0.1198, over 2778048.08 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07227, over 44799.91 utterances.], batch size: 244, lr: 4.16e-04
+2022-09-17 22:50:09,991 INFO [train.py:885] (1/2) Epoch 11, batch 7800, loss[loss=0.2857, simple_loss=0.3574, pruned_loss=0.107, over 14325.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03953, over 154.00 utterances.], tot_loss[loss=0.3007, simple_loss=0.3633, pruned_loss=0.119, over 2779964.64 frames. utt_duration=250 frames, utt_pad_proportion=0.0722, over 44752.08 utterances.], batch size: 154, lr: 4.16e-04
+2022-09-17 22:50:39,198 INFO [train.py:885] (1/2) Epoch 11, batch 7850, loss[loss=0.2079, simple_loss=0.2756, pruned_loss=0.07012, over 13498.00 frames. utt_duration=1287 frames, utt_pad_proportion=0.09862, over 42.00 utterances.], tot_loss[loss=0.302, simple_loss=0.3645, pruned_loss=0.1197, over 2782486.66 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07211, over 45313.89 utterances.], batch size: 42, lr: 4.15e-04
+2022-09-17 22:51:08,802 INFO [train.py:885] (1/2) Epoch 11, batch 7900, loss[loss=0.2165, simple_loss=0.2783, pruned_loss=0.07741, over 14058.00 frames. utt_duration=713.3 frames, utt_pad_proportion=0.05649, over 79.00 utterances.], tot_loss[loss=0.2987, simple_loss=0.3611, pruned_loss=0.1181, over 2776419.38 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07414, over 44708.26 utterances.], batch size: 79, lr: 4.15e-04
+2022-09-17 22:51:38,012 INFO [train.py:885] (1/2) Epoch 11, batch 7950, loss[loss=0.3308, simple_loss=0.3882, pruned_loss=0.1367, over 14352.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03586, over 195.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3637, pruned_loss=0.1193, over 2783089.05 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07252, over 44722.26 utterances.], batch size: 195, lr: 4.15e-04
+2022-09-17 22:52:08,147 INFO [train.py:885] (1/2) Epoch 11, batch 8000, loss[loss=0.4348, simple_loss=0.509, pruned_loss=0.1803, over 13136.00 frames. utt_duration=82 frames, utt_pad_proportion=0.1086, over 653.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3664, pruned_loss=0.1212, over 2780859.93 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07464, over 45973.31 utterances.], batch size: 653, lr: 4.15e-04
+2022-09-17 22:52:38,168 INFO [train.py:885] (1/2) Epoch 11, batch 8050, loss[loss=0.4395, simple_loss=0.4658, pruned_loss=0.2066, over 14323.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03842, over 283.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3693, pruned_loss=0.123, over 2779432.56 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07478, over 47131.63 utterances.], batch size: 283, lr: 4.15e-04
+2022-09-17 22:53:07,871 INFO [train.py:885] (1/2) Epoch 11, batch 8100, loss[loss=0.2419, simple_loss=0.3053, pruned_loss=0.08928, over 14169.00 frames. utt_duration=638.5 frames, utt_pad_proportion=0.04843, over 89.00 utterances.], tot_loss[loss=0.3049, simple_loss=0.3663, pruned_loss=0.1218, over 2780490.82 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07427, over 46153.31 utterances.], batch size: 89, lr: 4.15e-04
+2022-09-17 22:53:38,010 INFO [train.py:885] (1/2) Epoch 11, batch 8150, loss[loss=0.3302, simple_loss=0.3863, pruned_loss=0.1371, over 14336.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03704, over 210.00 utterances.], tot_loss[loss=0.3006, simple_loss=0.3614, pruned_loss=0.1198, over 2779455.99 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07258, over 43844.25 utterances.], batch size: 210, lr: 4.15e-04
+2022-09-17 22:54:08,017 INFO [train.py:885] (1/2) Epoch 11, batch 8200, loss[loss=0.3546, simple_loss=0.4301, pruned_loss=0.1395, over 13737.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07319, over 411.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3625, pruned_loss=0.1199, over 2776724.57 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07338, over 44427.70 utterances.], batch size: 411, lr: 4.15e-04
+2022-09-17 22:54:36,942 INFO [train.py:885] (1/2) Epoch 11, batch 8250, loss[loss=0.2918, simple_loss=0.3341, pruned_loss=0.1247, over 14127.00 frames. utt_duration=519.9 frames, utt_pad_proportion=0.0478, over 109.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.361, pruned_loss=0.1194, over 2780325.04 frames. utt_duration=258.9 frames, utt_pad_proportion=0.07134, over 43197.40 utterances.], batch size: 109, lr: 4.15e-04
+2022-09-17 22:55:06,847 INFO [train.py:885] (1/2) Epoch 11, batch 8300, loss[loss=0.3654, simple_loss=0.409, pruned_loss=0.1609, over 14357.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03603, over 195.00 utterances.], tot_loss[loss=0.3009, simple_loss=0.3626, pruned_loss=0.1196, over 2778153.04 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07171, over 44142.36 utterances.], batch size: 195, lr: 4.15e-04
+2022-09-17 22:55:37,435 INFO [train.py:885] (1/2) Epoch 11, batch 8350, loss[loss=0.4837, simple_loss=0.5188, pruned_loss=0.2243, over 14047.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05469, over 366.00 utterances.], tot_loss[loss=0.3105, simple_loss=0.371, pruned_loss=0.125, over 2778261.15 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07257, over 46340.99 utterances.], batch size: 366, lr: 4.15e-04
+2022-09-17 22:56:06,742 INFO [train.py:885] (1/2) Epoch 11, batch 8400, loss[loss=0.5087, simple_loss=0.5589, pruned_loss=0.2292, over 13109.00 frames. utt_duration=81.81 frames, utt_pad_proportion=0.1107, over 653.00 utterances.], tot_loss[loss=0.3125, simple_loss=0.3728, pruned_loss=0.1261, over 2779004.16 frames. utt_duration=237.8 frames, utt_pad_proportion=0.0733, over 47035.69 utterances.], batch size: 653, lr: 4.15e-04
+2022-09-17 22:56:37,018 INFO [train.py:885] (1/2) Epoch 11, batch 8450, loss[loss=0.403, simple_loss=0.4423, pruned_loss=0.1819, over 14321.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03804, over 283.00 utterances.], tot_loss[loss=0.3134, simple_loss=0.3739, pruned_loss=0.1265, over 2781115.09 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07195, over 47342.40 utterances.], batch size: 283, lr: 4.15e-04
+2022-09-17 22:57:06,616 INFO [train.py:885] (1/2) Epoch 11, batch 8500, loss[loss=0.2238, simple_loss=0.2783, pruned_loss=0.08465, over 13528.00 frames. utt_duration=1290 frames, utt_pad_proportion=0.09299, over 42.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.366, pruned_loss=0.1224, over 2781885.23 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06985, over 44499.07 utterances.], batch size: 42, lr: 4.14e-04
+2022-09-17 22:57:36,318 INFO [train.py:885] (1/2) Epoch 11, batch 8550, loss[loss=0.2528, simple_loss=0.3242, pruned_loss=0.09067, over 14198.00 frames. utt_duration=639.5 frames, utt_pad_proportion=0.04699, over 89.00 utterances.], tot_loss[loss=0.3046, simple_loss=0.3656, pruned_loss=0.1218, over 2785508.71 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06845, over 44419.38 utterances.], batch size: 89, lr: 4.14e-04
+2022-09-17 22:58:06,592 INFO [train.py:885] (1/2) Epoch 11, batch 8600, loss[loss=0.3387, simple_loss=0.4329, pruned_loss=0.1222, over 13572.00 frames. utt_duration=98.31 frames, utt_pad_proportion=0.08124, over 560.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3648, pruned_loss=0.1214, over 2780455.19 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06838, over 44078.22 utterances.], batch size: 560, lr: 4.14e-04
+2022-09-17 22:58:35,818 INFO [train.py:885] (1/2) Epoch 11, batch 8650, loss[loss=0.2343, simple_loss=0.315, pruned_loss=0.07678, over 14296.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04033, over 120.00 utterances.], tot_loss[loss=0.306, simple_loss=0.3667, pruned_loss=0.1227, over 2783401.35 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06891, over 44316.19 utterances.], batch size: 120, lr: 4.14e-04
+2022-09-17 22:59:05,098 INFO [train.py:885] (1/2) Epoch 11, batch 8700, loss[loss=0.3222, simple_loss=0.3909, pruned_loss=0.1268, over 14174.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04612, over 306.00 utterances.], tot_loss[loss=0.3061, simple_loss=0.3673, pruned_loss=0.1224, over 2780283.61 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06882, over 45010.93 utterances.], batch size: 306, lr: 4.14e-04
+2022-09-17 22:59:35,384 INFO [train.py:885] (1/2) Epoch 11, batch 8750, loss[loss=0.4245, simple_loss=0.4737, pruned_loss=0.1877, over 13991.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05652, over 365.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.366, pruned_loss=0.1215, over 2782864.21 frames. utt_duration=253 frames, utt_pad_proportion=0.06787, over 44249.40 utterances.], batch size: 365, lr: 4.14e-04
+2022-09-17 23:00:05,938 INFO [train.py:885] (1/2) Epoch 11, batch 8800, loss[loss=0.2243, simple_loss=0.2761, pruned_loss=0.08627, over 13890.00 frames. utt_duration=927.3 frames, utt_pad_proportion=0.06707, over 60.00 utterances.], tot_loss[loss=0.3051, simple_loss=0.368, pruned_loss=0.1211, over 2780894.46 frames. utt_duration=241.1 frames, utt_pad_proportion=0.0708, over 46420.14 utterances.], batch size: 60, lr: 4.14e-04
+2022-09-17 23:00:35,076 INFO [train.py:885] (1/2) Epoch 11, batch 8850, loss[loss=0.3379, simple_loss=0.3995, pruned_loss=0.1382, over 14383.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03547, over 244.00 utterances.], tot_loss[loss=0.3087, simple_loss=0.3706, pruned_loss=0.1234, over 2784507.77 frames. utt_duration=240.2 frames, utt_pad_proportion=0.06998, over 46649.69 utterances.], batch size: 244, lr: 4.14e-04
+2022-09-17 23:01:05,760 INFO [train.py:885] (1/2) Epoch 11, batch 8900, loss[loss=0.3717, simple_loss=0.4181, pruned_loss=0.1627, over 14293.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.0409, over 262.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.3678, pruned_loss=0.1218, over 2779570.96 frames. utt_duration=242.1 frames, utt_pad_proportion=0.06998, over 46214.02 utterances.], batch size: 262, lr: 4.14e-04
+2022-09-17 23:01:34,803 INFO [train.py:885] (1/2) Epoch 11, batch 8950, loss[loss=0.2319, simple_loss=0.2849, pruned_loss=0.08952, over 13901.00 frames. utt_duration=807.2 frames, utt_pad_proportion=0.0592, over 69.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3659, pruned_loss=0.1208, over 2777821.94 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06948, over 45209.23 utterances.], batch size: 69, lr: 4.14e-04
+2022-09-17 23:02:05,418 INFO [train.py:885] (1/2) Epoch 11, batch 9000, loss[loss=0.173, simple_loss=0.2294, pruned_loss=0.05827, over 13134.00 frames. utt_duration=1594 frames, utt_pad_proportion=0.1156, over 33.00 utterances.], tot_loss[loss=0.3042, simple_loss=0.3667, pruned_loss=0.1208, over 2778858.16 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07047, over 45928.66 utterances.], batch size: 33, lr: 4.14e-04
+2022-09-17 23:02:05,420 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 23:02:10,411 INFO [train.py:914] (1/2) Epoch 11, validation: loss=0.2081, simple_loss=0.2842, pruned_loss=0.06595, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 23:02:39,977 INFO [train.py:885] (1/2) Epoch 11, batch 9050, loss[loss=0.2531, simple_loss=0.3053, pruned_loss=0.1004, over 13750.00 frames. utt_duration=1102 frames, utt_pad_proportion=0.06963, over 50.00 utterances.], tot_loss[loss=0.3005, simple_loss=0.3631, pruned_loss=0.1189, over 2777713.04 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06974, over 44572.92 utterances.], batch size: 50, lr: 4.14e-04
+2022-09-17 23:03:10,005 INFO [train.py:885] (1/2) Epoch 11, batch 9100, loss[loss=0.2276, simple_loss=0.2654, pruned_loss=0.09492, over 13566.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08839, over 50.00 utterances.], tot_loss[loss=0.3036, simple_loss=0.3654, pruned_loss=0.1209, over 2779434.41 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07209, over 45173.32 utterances.], batch size: 50, lr: 4.14e-04
+2022-09-17 23:03:39,579 INFO [train.py:885] (1/2) Epoch 11, batch 9150, loss[loss=0.2593, simple_loss=0.3293, pruned_loss=0.09464, over 14303.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.04173, over 120.00 utterances.], tot_loss[loss=0.3007, simple_loss=0.3622, pruned_loss=0.1196, over 2781894.93 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06957, over 43151.03 utterances.], batch size: 120, lr: 4.13e-04
+2022-09-17 23:04:09,331 INFO [train.py:885] (1/2) Epoch 11, batch 9200, loss[loss=0.2492, simple_loss=0.3006, pruned_loss=0.09896, over 13415.00 frames. utt_duration=1075 frames, utt_pad_proportion=0.09308, over 50.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.3632, pruned_loss=0.1202, over 2779936.02 frames. utt_duration=257.6 frames, utt_pad_proportion=0.07219, over 43408.13 utterances.], batch size: 50, lr: 4.13e-04
+2022-09-17 23:04:39,395 INFO [train.py:885] (1/2) Epoch 11, batch 9250, loss[loss=0.3051, simple_loss=0.3658, pruned_loss=0.1222, over 14307.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03907, over 195.00 utterances.], tot_loss[loss=0.3039, simple_loss=0.3651, pruned_loss=0.1214, over 2782766.99 frames. utt_duration=255 frames, utt_pad_proportion=0.07228, over 43908.98 utterances.], batch size: 195, lr: 4.13e-04
+2022-09-17 23:05:09,443 INFO [train.py:885] (1/2) Epoch 11, batch 9300, loss[loss=0.3201, simple_loss=0.4162, pruned_loss=0.1121, over 13648.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07955, over 477.00 utterances.], tot_loss[loss=0.3036, simple_loss=0.3648, pruned_loss=0.1212, over 2781499.00 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07133, over 44252.45 utterances.], batch size: 477, lr: 4.13e-04
+2022-09-17 23:05:39,444 INFO [train.py:885] (1/2) Epoch 11, batch 9350, loss[loss=0.2168, simple_loss=0.2719, pruned_loss=0.08087, over 13676.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.0831, over 42.00 utterances.], tot_loss[loss=0.3023, simple_loss=0.3635, pruned_loss=0.1205, over 2776474.69 frames. utt_duration=254.6 frames, utt_pad_proportion=0.0723, over 43875.68 utterances.], batch size: 42, lr: 4.13e-04
+2022-09-17 23:06:09,330 INFO [train.py:885] (1/2) Epoch 11, batch 9400, loss[loss=0.3548, simple_loss=0.4043, pruned_loss=0.1527, over 14320.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03839, over 283.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3615, pruned_loss=0.1194, over 2775761.20 frames. utt_duration=257.6 frames, utt_pad_proportion=0.07164, over 43344.70 utterances.], batch size: 283, lr: 4.13e-04
+2022-09-17 23:06:39,456 INFO [train.py:885] (1/2) Epoch 11, batch 9450, loss[loss=0.2359, simple_loss=0.3073, pruned_loss=0.0823, over 14322.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03839, over 120.00 utterances.], tot_loss[loss=0.2985, simple_loss=0.3602, pruned_loss=0.1184, over 2774995.64 frames. utt_duration=258.3 frames, utt_pad_proportion=0.07257, over 43220.26 utterances.], batch size: 120, lr: 4.13e-04
+2022-09-17 23:07:09,363 INFO [train.py:885] (1/2) Epoch 11, batch 9500, loss[loss=0.2207, simple_loss=0.2863, pruned_loss=0.07755, over 14229.00 frames. utt_duration=640.8 frames, utt_pad_proportion=0.04499, over 89.00 utterances.], tot_loss[loss=0.301, simple_loss=0.3621, pruned_loss=0.12, over 2776648.44 frames. utt_duration=256.7 frames, utt_pad_proportion=0.0723, over 43510.56 utterances.], batch size: 89, lr: 4.13e-04
+2022-09-17 23:07:39,034 INFO [train.py:885] (1/2) Epoch 11, batch 9550, loss[loss=0.3122, simple_loss=0.4055, pruned_loss=0.1095, over 13612.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08164, over 477.00 utterances.], tot_loss[loss=0.3013, simple_loss=0.363, pruned_loss=0.1198, over 2779667.11 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07083, over 44752.82 utterances.], batch size: 477, lr: 4.13e-04
+2022-09-17 23:08:09,064 INFO [train.py:885] (1/2) Epoch 11, batch 9600, loss[loss=0.5888, simple_loss=0.6504, pruned_loss=0.2636, over 12528.00 frames. utt_duration=63.42 frames, utt_pad_proportion=0.1429, over 810.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.364, pruned_loss=0.1197, over 2777736.96 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07118, over 45007.19 utterances.], batch size: 810, lr: 4.13e-04
+2022-09-17 23:08:38,661 INFO [train.py:885] (1/2) Epoch 11, batch 9650, loss[loss=0.3101, simple_loss=0.4006, pruned_loss=0.1098, over 13753.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07276, over 411.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3647, pruned_loss=0.1213, over 2781770.58 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06849, over 44327.65 utterances.], batch size: 411, lr: 4.13e-04
+2022-09-17 23:09:08,174 INFO [train.py:885] (1/2) Epoch 11, batch 9700, loss[loss=0.2388, simple_loss=0.3135, pruned_loss=0.08202, over 14136.00 frames. utt_duration=520.1 frames, utt_pad_proportion=0.0474, over 109.00 utterances.], tot_loss[loss=0.3041, simple_loss=0.3651, pruned_loss=0.1215, over 2783442.80 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07025, over 44660.28 utterances.], batch size: 109, lr: 4.13e-04
+2022-09-17 23:09:38,149 INFO [train.py:885] (1/2) Epoch 11, batch 9750, loss[loss=0.3444, simple_loss=0.405, pruned_loss=0.1419, over 14314.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03922, over 262.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.3661, pruned_loss=0.1227, over 2783272.80 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06843, over 44038.99 utterances.], batch size: 262, lr: 4.13e-04
+2022-09-17 23:10:07,644 INFO [train.py:885] (1/2) Epoch 11, batch 9800, loss[loss=0.3054, simple_loss=0.3759, pruned_loss=0.1175, over 14339.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03683, over 210.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.371, pruned_loss=0.1238, over 2784223.28 frames. utt_duration=239 frames, utt_pad_proportion=0.06978, over 46894.62 utterances.], batch size: 210, lr: 4.12e-04
+2022-09-17 23:10:37,714 INFO [train.py:885] (1/2) Epoch 11, batch 9850, loss[loss=0.4357, simple_loss=0.4661, pruned_loss=0.2026, over 14159.00 frames. utt_duration=186.6 frames, utt_pad_proportion=0.04779, over 306.00 utterances.], tot_loss[loss=0.311, simple_loss=0.3729, pruned_loss=0.1246, over 2786034.92 frames. utt_duration=235.4 frames, utt_pad_proportion=0.06947, over 47646.65 utterances.], batch size: 306, lr: 4.12e-04
+2022-09-17 23:11:07,713 INFO [train.py:885] (1/2) Epoch 11, batch 9900, loss[loss=0.342, simple_loss=0.3868, pruned_loss=0.1486, over 14303.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03952, over 120.00 utterances.], tot_loss[loss=0.311, simple_loss=0.3736, pruned_loss=0.1242, over 2781104.67 frames. utt_duration=230.1 frames, utt_pad_proportion=0.0735, over 48661.96 utterances.], batch size: 120, lr: 4.12e-04
+2022-09-17 23:11:37,001 INFO [train.py:885] (1/2) Epoch 11, batch 9950, loss[loss=0.2926, simple_loss=0.3492, pruned_loss=0.118, over 14310.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03751, over 130.00 utterances.], tot_loss[loss=0.3108, simple_loss=0.3726, pruned_loss=0.1245, over 2782867.76 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07035, over 47388.73 utterances.], batch size: 130, lr: 4.12e-04
+2022-09-17 23:12:07,064 INFO [train.py:885] (1/2) Epoch 11, batch 10000, loss[loss=0.3652, simple_loss=0.4127, pruned_loss=0.1588, over 14201.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04418, over 306.00 utterances.], tot_loss[loss=0.313, simple_loss=0.3744, pruned_loss=0.1258, over 2787800.73 frames. utt_duration=235.5 frames, utt_pad_proportion=0.06945, over 47658.36 utterances.], batch size: 306, lr: 4.12e-04
+2022-09-17 23:12:36,120 INFO [train.py:885] (1/2) Epoch 11, batch 10050, loss[loss=0.3187, simple_loss=0.3787, pruned_loss=0.1293, over 14410.00 frames. utt_duration=237.8 frames, utt_pad_proportion=0.02952, over 244.00 utterances.], tot_loss[loss=0.3074, simple_loss=0.3694, pruned_loss=0.1227, over 2787775.71 frames. utt_duration=244 frames, utt_pad_proportion=0.06868, over 45985.78 utterances.], batch size: 244, lr: 4.12e-04
+2022-09-17 23:13:05,565 INFO [train.py:885] (1/2) Epoch 11, batch 10100, loss[loss=0.2591, simple_loss=0.3236, pruned_loss=0.09726, over 14270.00 frames. utt_duration=477.1 frames, utt_pad_proportion=0.04205, over 120.00 utterances.], tot_loss[loss=0.3041, simple_loss=0.366, pruned_loss=0.1211, over 2784499.19 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06769, over 44401.60 utterances.], batch size: 120, lr: 4.12e-04
+2022-09-17 23:13:35,983 INFO [train.py:885] (1/2) Epoch 11, batch 10150, loss[loss=0.261, simple_loss=0.2966, pruned_loss=0.1127, over 13852.00 frames. utt_duration=925 frames, utt_pad_proportion=0.07127, over 60.00 utterances.], tot_loss[loss=0.3039, simple_loss=0.3657, pruned_loss=0.1211, over 2781307.00 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06847, over 44321.57 utterances.], batch size: 60, lr: 4.12e-04
+2022-09-17 23:14:05,479 INFO [train.py:885] (1/2) Epoch 11, batch 10200, loss[loss=0.2489, simple_loss=0.3114, pruned_loss=0.09316, over 13749.00 frames. utt_duration=918.2 frames, utt_pad_proportion=0.0772, over 60.00 utterances.], tot_loss[loss=0.3013, simple_loss=0.3637, pruned_loss=0.1195, over 2782569.19 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06838, over 43696.44 utterances.], batch size: 60, lr: 4.12e-04
+2022-09-17 23:14:34,977 INFO [train.py:885] (1/2) Epoch 11, batch 10250, loss[loss=0.2115, simple_loss=0.2802, pruned_loss=0.07137, over 14226.00 frames. utt_duration=640.8 frames, utt_pad_proportion=0.04648, over 89.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3627, pruned_loss=0.1185, over 2783419.01 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06901, over 44115.25 utterances.], batch size: 89, lr: 4.12e-04
+2022-09-17 23:15:05,556 INFO [train.py:885] (1/2) Epoch 11, batch 10300, loss[loss=0.267, simple_loss=0.3471, pruned_loss=0.09348, over 14326.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03678, over 180.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3637, pruned_loss=0.1189, over 2782641.36 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06927, over 44314.93 utterances.], batch size: 180, lr: 4.12e-04
+2022-09-17 23:15:34,771 INFO [train.py:885] (1/2) Epoch 11, batch 10350, loss[loss=0.3298, simple_loss=0.3961, pruned_loss=0.1318, over 14322.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03849, over 283.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3657, pruned_loss=0.1201, over 2783967.20 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06886, over 45144.54 utterances.], batch size: 283, lr: 4.12e-04
+2022-09-17 23:16:04,874 INFO [train.py:885] (1/2) Epoch 11, batch 10400, loss[loss=0.3604, simple_loss=0.4159, pruned_loss=0.1525, over 14375.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03629, over 244.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3626, pruned_loss=0.1187, over 2781068.79 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07047, over 44247.76 utterances.], batch size: 244, lr: 4.12e-04
+2022-09-17 23:16:34,801 INFO [train.py:885] (1/2) Epoch 11, batch 10450, loss[loss=0.2193, simple_loss=0.2978, pruned_loss=0.07036, over 14197.00 frames. utt_duration=522.5 frames, utt_pad_proportion=0.0431, over 109.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3613, pruned_loss=0.1185, over 2778604.41 frames. utt_duration=256.6 frames, utt_pad_proportion=0.07051, over 43568.84 utterances.], batch size: 109, lr: 4.11e-04
+2022-09-17 23:17:04,153 INFO [train.py:885] (1/2) Epoch 11, batch 10500, loss[loss=0.393, simple_loss=0.4206, pruned_loss=0.1827, over 14251.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04302, over 141.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3591, pruned_loss=0.1179, over 2777087.59 frames. utt_duration=263.7 frames, utt_pad_proportion=0.07112, over 42363.63 utterances.], batch size: 141, lr: 4.11e-04
+2022-09-17 23:17:34,027 INFO [train.py:885] (1/2) Epoch 11, batch 10550, loss[loss=0.4718, simple_loss=0.4936, pruned_loss=0.225, over 14237.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04309, over 335.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3655, pruned_loss=0.1215, over 2778403.76 frames. utt_duration=251 frames, utt_pad_proportion=0.07118, over 44531.54 utterances.], batch size: 335, lr: 4.11e-04
+2022-09-17 23:18:03,645 INFO [train.py:885] (1/2) Epoch 11, batch 10600, loss[loss=0.1902, simple_loss=0.2364, pruned_loss=0.07201, over 13231.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.1112, over 33.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3639, pruned_loss=0.1204, over 2782009.83 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06986, over 44197.25 utterances.], batch size: 33, lr: 4.11e-04
+2022-09-17 23:18:32,422 INFO [train.py:885] (1/2) Epoch 11, batch 10650, loss[loss=0.2986, simple_loss=0.3619, pruned_loss=0.1176, over 14300.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04083, over 154.00 utterances.], tot_loss[loss=0.3032, simple_loss=0.3643, pruned_loss=0.1211, over 2783022.55 frames. utt_duration=253 frames, utt_pad_proportion=0.07073, over 44260.51 utterances.], batch size: 154, lr: 4.11e-04
+2022-09-17 23:19:02,389 INFO [train.py:885] (1/2) Epoch 11, batch 10700, loss[loss=0.3305, simple_loss=0.4161, pruned_loss=0.1225, over 13741.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07359, over 411.00 utterances.], tot_loss[loss=0.3069, simple_loss=0.3687, pruned_loss=0.1226, over 2780250.23 frames. utt_duration=240.7 frames, utt_pad_proportion=0.0718, over 46492.19 utterances.], batch size: 411, lr: 4.11e-04
+2022-09-17 23:19:32,366 INFO [train.py:885] (1/2) Epoch 11, batch 10750, loss[loss=0.4623, simple_loss=0.5212, pruned_loss=0.2017, over 13137.00 frames. utt_duration=82.04 frames, utt_pad_proportion=0.1083, over 653.00 utterances.], tot_loss[loss=0.3106, simple_loss=0.3725, pruned_loss=0.1243, over 2779030.38 frames. utt_duration=230.6 frames, utt_pad_proportion=0.07252, over 48519.71 utterances.], batch size: 653, lr: 4.11e-04
+2022-09-17 23:20:01,577 INFO [train.py:885] (1/2) Epoch 11, batch 10800, loss[loss=0.3548, simple_loss=0.4437, pruned_loss=0.1329, over 13623.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08144, over 477.00 utterances.], tot_loss[loss=0.3098, simple_loss=0.3722, pruned_loss=0.1237, over 2778796.05 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07201, over 47786.42 utterances.], batch size: 477, lr: 4.11e-04
+2022-09-17 23:20:31,506 INFO [train.py:885] (1/2) Epoch 11, batch 10850, loss[loss=0.2712, simple_loss=0.3356, pruned_loss=0.1034, over 14329.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.0367, over 154.00 utterances.], tot_loss[loss=0.3111, simple_loss=0.3737, pruned_loss=0.1243, over 2780704.87 frames. utt_duration=229.1 frames, utt_pad_proportion=0.07354, over 48871.98 utterances.], batch size: 154, lr: 4.11e-04
+2022-09-17 23:21:00,455 INFO [train.py:885] (1/2) Epoch 11, batch 10900, loss[loss=0.1752, simple_loss=0.2424, pruned_loss=0.05397, over 13802.00 frames. utt_duration=921.2 frames, utt_pad_proportion=0.07043, over 60.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3694, pruned_loss=0.1224, over 2779936.03 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07152, over 46790.27 utterances.], batch size: 60, lr: 4.11e-04
+2022-09-17 23:21:30,321 INFO [train.py:885] (1/2) Epoch 11, batch 10950, loss[loss=0.4012, simple_loss=0.4385, pruned_loss=0.182, over 14283.00 frames. utt_duration=219.3 frames, utt_pad_proportion=0.0422, over 262.00 utterances.], tot_loss[loss=0.3081, simple_loss=0.3703, pruned_loss=0.1229, over 2781454.75 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07035, over 46738.41 utterances.], batch size: 262, lr: 4.11e-04
+2022-09-17 23:22:00,226 INFO [train.py:885] (1/2) Epoch 11, batch 11000, loss[loss=0.2338, simple_loss=0.2922, pruned_loss=0.08773, over 13918.00 frames. utt_duration=808.4 frames, utt_pad_proportion=0.05779, over 69.00 utterances.], tot_loss[loss=0.3066, simple_loss=0.3685, pruned_loss=0.1223, over 2785767.45 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06861, over 45588.44 utterances.], batch size: 69, lr: 4.11e-04
+2022-09-17 23:22:29,733 INFO [train.py:885] (1/2) Epoch 11, batch 11050, loss[loss=0.2514, simple_loss=0.3256, pruned_loss=0.08864, over 14338.00 frames. utt_duration=374 frames, utt_pad_proportion=0.03858, over 154.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3681, pruned_loss=0.1219, over 2783808.60 frames. utt_duration=246.7 frames, utt_pad_proportion=0.06854, over 45412.83 utterances.], batch size: 154, lr: 4.11e-04
+2022-09-17 23:22:59,567 INFO [train.py:885] (1/2) Epoch 11, batch 11100, loss[loss=0.3883, simple_loss=0.4757, pruned_loss=0.1504, over 13167.00 frames. utt_duration=82.17 frames, utt_pad_proportion=0.1069, over 653.00 utterances.], tot_loss[loss=0.3084, simple_loss=0.3704, pruned_loss=0.1232, over 2785658.76 frames. utt_duration=243.4 frames, utt_pad_proportion=0.0692, over 46062.91 utterances.], batch size: 653, lr: 4.11e-04
+2022-09-17 23:23:29,005 INFO [train.py:885] (1/2) Epoch 11, batch 11150, loss[loss=0.2906, simple_loss=0.35, pruned_loss=0.1156, over 14302.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.03803, over 130.00 utterances.], tot_loss[loss=0.3076, simple_loss=0.3693, pruned_loss=0.123, over 2783617.63 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07106, over 46069.08 utterances.], batch size: 130, lr: 4.10e-04
+2022-09-17 23:23:59,024 INFO [train.py:885] (1/2) Epoch 11, batch 11200, loss[loss=0.3206, simple_loss=0.3728, pruned_loss=0.1342, over 14338.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.03591, over 130.00 utterances.], tot_loss[loss=0.3088, simple_loss=0.3705, pruned_loss=0.1236, over 2777824.68 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07409, over 47231.65 utterances.], batch size: 130, lr: 4.10e-04
+2022-09-17 23:24:36,560 INFO [train.py:885] (1/2) Epoch 11, batch 11250, loss[loss=0.5807, simple_loss=0.6361, pruned_loss=0.2626, over 12467.00 frames. utt_duration=63.12 frames, utt_pad_proportion=0.147, over 810.00 utterances.], tot_loss[loss=0.3056, simple_loss=0.3679, pruned_loss=0.1217, over 2776712.71 frames. utt_duration=240.4 frames, utt_pad_proportion=0.0749, over 46493.20 utterances.], batch size: 810, lr: 4.10e-04
+2022-09-17 23:25:06,449 INFO [train.py:885] (1/2) Epoch 11, batch 11300, loss[loss=0.1809, simple_loss=0.2448, pruned_loss=0.05855, over 13168.00 frames. utt_duration=1597 frames, utt_pad_proportion=0.1161, over 33.00 utterances.], tot_loss[loss=0.3034, simple_loss=0.3655, pruned_loss=0.1206, over 2778854.57 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07313, over 45576.64 utterances.], batch size: 33, lr: 4.10e-04
+2022-09-17 23:25:35,958 INFO [train.py:885] (1/2) Epoch 11, batch 11350, loss[loss=0.4284, simple_loss=0.4513, pruned_loss=0.2027, over 14344.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03697, over 283.00 utterances.], tot_loss[loss=0.302, simple_loss=0.3641, pruned_loss=0.1199, over 2782014.83 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07155, over 44466.53 utterances.], batch size: 283, lr: 4.10e-04
+2022-09-17 23:26:05,885 INFO [train.py:885] (1/2) Epoch 11, batch 11400, loss[loss=0.3201, simple_loss=0.3873, pruned_loss=0.1264, over 14316.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03867, over 195.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.362, pruned_loss=0.1191, over 2785629.72 frames. utt_duration=257.7 frames, utt_pad_proportion=0.07045, over 43487.45 utterances.], batch size: 195, lr: 4.10e-04
+2022-09-17 23:26:35,262 INFO [train.py:885] (1/2) Epoch 11, batch 11450, loss[loss=0.1613, simple_loss=0.2188, pruned_loss=0.0519, over 12763.00 frames. utt_duration=2043 frames, utt_pad_proportion=0.1174, over 25.00 utterances.], tot_loss[loss=0.3005, simple_loss=0.363, pruned_loss=0.1189, over 2786825.99 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06718, over 44031.19 utterances.], batch size: 25, lr: 4.10e-04
+2022-09-17 23:27:05,610 INFO [train.py:885] (1/2) Epoch 11, batch 11500, loss[loss=0.3185, simple_loss=0.3842, pruned_loss=0.1264, over 14308.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04038, over 154.00 utterances.], tot_loss[loss=0.3032, simple_loss=0.3663, pruned_loss=0.12, over 2782898.25 frames. utt_duration=245.3 frames, utt_pad_proportion=0.0713, over 45659.08 utterances.], batch size: 154, lr: 4.10e-04
+2022-09-17 23:27:35,375 INFO [train.py:885] (1/2) Epoch 11, batch 11550, loss[loss=0.189, simple_loss=0.2656, pruned_loss=0.05617, over 13197.00 frames. utt_duration=1289 frames, utt_pad_proportion=0.1, over 41.00 utterances.], tot_loss[loss=0.3039, simple_loss=0.3674, pruned_loss=0.1202, over 2780583.69 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07339, over 46893.37 utterances.], batch size: 41, lr: 4.10e-04
+2022-09-17 23:28:05,405 INFO [train.py:885] (1/2) Epoch 11, batch 11600, loss[loss=0.2248, simple_loss=0.2862, pruned_loss=0.08164, over 13768.00 frames. utt_duration=799.6 frames, utt_pad_proportion=0.06914, over 69.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3661, pruned_loss=0.12, over 2775607.99 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07478, over 46717.96 utterances.], batch size: 69, lr: 4.10e-04
+2022-09-17 23:28:34,954 INFO [train.py:885] (1/2) Epoch 11, batch 11650, loss[loss=0.235, simple_loss=0.3017, pruned_loss=0.08414, over 14221.00 frames. utt_duration=640.7 frames, utt_pad_proportion=0.04523, over 89.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3667, pruned_loss=0.1204, over 2780201.41 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07325, over 46260.14 utterances.], batch size: 89, lr: 4.10e-04
+2022-09-17 23:29:04,366 INFO [train.py:885] (1/2) Epoch 11, batch 11700, loss[loss=0.2986, simple_loss=0.369, pruned_loss=0.1141, over 14306.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03927, over 283.00 utterances.], tot_loss[loss=0.3052, simple_loss=0.368, pruned_loss=0.1212, over 2779906.16 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07396, over 46596.65 utterances.], batch size: 283, lr: 4.10e-04
+2022-09-17 23:29:34,247 INFO [train.py:885] (1/2) Epoch 11, batch 11750, loss[loss=0.1852, simple_loss=0.2529, pruned_loss=0.05877, over 13734.00 frames. utt_duration=917 frames, utt_pad_proportion=0.07743, over 60.00 utterances.], tot_loss[loss=0.3052, simple_loss=0.3677, pruned_loss=0.1213, over 2783035.92 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07068, over 45831.66 utterances.], batch size: 60, lr: 4.10e-04
+2022-09-17 23:30:03,168 INFO [train.py:885] (1/2) Epoch 11, batch 11800, loss[loss=0.1871, simple_loss=0.2436, pruned_loss=0.06531, over 13802.00 frames. utt_duration=921.3 frames, utt_pad_proportion=0.07498, over 60.00 utterances.], tot_loss[loss=0.3036, simple_loss=0.3655, pruned_loss=0.1208, over 2777956.31 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07193, over 45226.09 utterances.], batch size: 60, lr: 4.09e-04
+2022-09-17 23:30:33,320 INFO [train.py:885] (1/2) Epoch 11, batch 11850, loss[loss=0.3631, simple_loss=0.4098, pruned_loss=0.1582, over 14342.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03719, over 283.00 utterances.], tot_loss[loss=0.3069, simple_loss=0.369, pruned_loss=0.1224, over 2781495.65 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07278, over 46400.20 utterances.], batch size: 283, lr: 4.09e-04
+2022-09-17 23:31:03,072 INFO [train.py:885] (1/2) Epoch 11, batch 11900, loss[loss=0.2177, simple_loss=0.2784, pruned_loss=0.07853, over 13865.00 frames. utt_duration=805.2 frames, utt_pad_proportion=0.06259, over 69.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3666, pruned_loss=0.121, over 2781954.88 frames. utt_duration=244 frames, utt_pad_proportion=0.07234, over 45889.68 utterances.], batch size: 69, lr: 4.09e-04
+2022-09-17 23:31:33,090 INFO [train.py:885] (1/2) Epoch 11, batch 11950, loss[loss=0.3654, simple_loss=0.4083, pruned_loss=0.1612, over 14309.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04132, over 167.00 utterances.], tot_loss[loss=0.3048, simple_loss=0.3673, pruned_loss=0.1211, over 2786053.85 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07036, over 46074.03 utterances.], batch size: 167, lr: 4.09e-04
+2022-09-17 23:32:02,970 INFO [train.py:885] (1/2) Epoch 11, batch 12000, loss[loss=0.3035, simple_loss=0.3676, pruned_loss=0.1197, over 14280.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04004, over 180.00 utterances.], tot_loss[loss=0.3104, simple_loss=0.3729, pruned_loss=0.124, over 2785551.11 frames. utt_duration=232.4 frames, utt_pad_proportion=0.073, over 48259.16 utterances.], batch size: 180, lr: 4.09e-04
+2022-09-17 23:32:02,971 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-17 23:32:07,744 INFO [train.py:914] (1/2) Epoch 11, validation: loss=0.2051, simple_loss=0.2808, pruned_loss=0.06466, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-17 23:32:37,086 INFO [train.py:885] (1/2) Epoch 11, batch 12050, loss[loss=0.621, simple_loss=0.6668, pruned_loss=0.2876, over 12475.00 frames. utt_duration=63.24 frames, utt_pad_proportion=0.1454, over 810.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3729, pruned_loss=0.1248, over 2782863.78 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07457, over 47808.15 utterances.], batch size: 810, lr: 4.09e-04
+2022-09-17 23:33:06,878 INFO [train.py:885] (1/2) Epoch 11, batch 12100, loss[loss=0.1894, simple_loss=0.2538, pruned_loss=0.06252, over 12566.00 frames. utt_duration=2096 frames, utt_pad_proportion=0.1498, over 24.00 utterances.], tot_loss[loss=0.3078, simple_loss=0.3692, pruned_loss=0.1233, over 2779296.34 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07583, over 46554.29 utterances.], batch size: 24, lr: 4.09e-04
+2022-09-17 23:33:36,165 INFO [train.py:885] (1/2) Epoch 11, batch 12150, loss[loss=0.2188, simple_loss=0.2861, pruned_loss=0.07576, over 14113.00 frames. utt_duration=808.1 frames, utt_pad_proportion=0.05708, over 70.00 utterances.], tot_loss[loss=0.3047, simple_loss=0.3664, pruned_loss=0.1215, over 2781071.94 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07307, over 45452.46 utterances.], batch size: 70, lr: 4.09e-04
+2022-09-17 23:34:06,258 INFO [train.py:885] (1/2) Epoch 11, batch 12200, loss[loss=0.2531, simple_loss=0.3194, pruned_loss=0.09342, over 14166.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04517, over 109.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3662, pruned_loss=0.1214, over 2780658.78 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07258, over 45692.81 utterances.], batch size: 109, lr: 4.09e-04
+2022-09-17 23:34:35,677 INFO [train.py:885] (1/2) Epoch 11, batch 12250, loss[loss=0.3683, simple_loss=0.419, pruned_loss=0.1588, over 14196.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04543, over 306.00 utterances.], tot_loss[loss=0.3048, simple_loss=0.3669, pruned_loss=0.1213, over 2776049.63 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07297, over 46322.36 utterances.], batch size: 306, lr: 4.09e-04
+2022-09-17 23:35:05,400 INFO [train.py:885] (1/2) Epoch 11, batch 12300, loss[loss=0.197, simple_loss=0.2681, pruned_loss=0.06294, over 13517.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08775, over 50.00 utterances.], tot_loss[loss=0.303, simple_loss=0.3657, pruned_loss=0.1201, over 2775631.11 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07375, over 46323.50 utterances.], batch size: 50, lr: 4.09e-04
+2022-09-17 23:35:35,607 INFO [train.py:885] (1/2) Epoch 11, batch 12350, loss[loss=0.2133, simple_loss=0.2914, pruned_loss=0.06758, over 14121.00 frames. utt_duration=808.1 frames, utt_pad_proportion=0.0537, over 70.00 utterances.], tot_loss[loss=0.3065, simple_loss=0.3686, pruned_loss=0.1222, over 2777775.30 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07299, over 46691.86 utterances.], batch size: 70, lr: 4.09e-04
+2022-09-17 23:36:05,192 INFO [train.py:885] (1/2) Epoch 11, batch 12400, loss[loss=0.2092, simple_loss=0.2713, pruned_loss=0.07357, over 13697.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07728, over 50.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3677, pruned_loss=0.1219, over 2780727.95 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07085, over 45781.25 utterances.], batch size: 50, lr: 4.09e-04
+2022-09-17 23:36:34,849 INFO [train.py:885] (1/2) Epoch 11, batch 12450, loss[loss=0.4444, simple_loss=0.4682, pruned_loss=0.2103, over 14221.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04358, over 335.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.3636, pruned_loss=0.1198, over 2779369.06 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07067, over 44241.93 utterances.], batch size: 335, lr: 4.09e-04
+2022-09-17 23:37:04,353 INFO [train.py:885] (1/2) Epoch 11, batch 12500, loss[loss=0.5616, simple_loss=0.634, pruned_loss=0.2446, over 12489.00 frames. utt_duration=63.23 frames, utt_pad_proportion=0.1456, over 810.00 utterances.], tot_loss[loss=0.3035, simple_loss=0.3657, pruned_loss=0.1207, over 2778210.27 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07247, over 45338.84 utterances.], batch size: 810, lr: 4.08e-04
+2022-09-17 23:37:33,758 INFO [train.py:885] (1/2) Epoch 11, batch 12550, loss[loss=0.2159, simple_loss=0.2775, pruned_loss=0.07711, over 14069.00 frames. utt_duration=713.8 frames, utt_pad_proportion=0.05576, over 79.00 utterances.], tot_loss[loss=0.3036, simple_loss=0.3661, pruned_loss=0.1206, over 2781000.23 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07038, over 45329.03 utterances.], batch size: 79, lr: 4.08e-04
+2022-09-17 23:38:01,662 INFO [train.py:885] (1/2) Epoch 11, batch 12600, loss[loss=0.3087, simple_loss=0.3692, pruned_loss=0.1241, over 14258.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.04132, over 180.00 utterances.], tot_loss[loss=0.3055, simple_loss=0.3676, pruned_loss=0.1217, over 2782815.99 frames. utt_duration=247 frames, utt_pad_proportion=0.06975, over 45336.75 utterances.], batch size: 180, lr: 4.08e-04
+2022-09-17 23:38:20,538 INFO [train.py:885] (1/2) Epoch 12, batch 0, loss[loss=0.1693, simple_loss=0.2362, pruned_loss=0.05122, over 13212.00 frames. utt_duration=1603 frames, utt_pad_proportion=0.1021, over 33.00 utterances.], tot_loss[loss=0.1693, simple_loss=0.2362, pruned_loss=0.05122, over 13212.00 frames. utt_duration=1603 frames, utt_pad_proportion=0.1021, over 33.00 utterances.], batch size: 33, lr: 3.94e-04
+2022-09-17 23:38:49,934 INFO [train.py:885] (1/2) Epoch 12, batch 50, loss[loss=0.3921, simple_loss=0.4315, pruned_loss=0.1763, over 14322.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.0384, over 262.00 utterances.], tot_loss[loss=0.296, simple_loss=0.362, pruned_loss=0.1151, over 626734.65 frames. utt_duration=246.3 frames, utt_pad_proportion=0.0708, over 10241.52 utterances.], batch size: 262, lr: 3.94e-04
+2022-09-17 23:39:19,618 INFO [train.py:885] (1/2) Epoch 12, batch 100, loss[loss=0.3488, simple_loss=0.4058, pruned_loss=0.1459, over 14235.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.042, over 306.00 utterances.], tot_loss[loss=0.2963, simple_loss=0.3602, pruned_loss=0.1162, over 1107118.38 frames. utt_duration=251.4 frames, utt_pad_proportion=0.0663, over 17718.85 utterances.], batch size: 306, lr: 3.94e-04
+2022-09-17 23:39:49,560 INFO [train.py:885] (1/2) Epoch 12, batch 150, loss[loss=0.3954, simple_loss=0.4345, pruned_loss=0.1781, over 14220.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04398, over 335.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3585, pruned_loss=0.115, over 1478498.60 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06641, over 23348.10 utterances.], batch size: 335, lr: 3.94e-04
+2022-09-17 23:40:19,101 INFO [train.py:885] (1/2) Epoch 12, batch 200, loss[loss=0.4492, simple_loss=0.5168, pruned_loss=0.1908, over 13165.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3577, pruned_loss=0.1135, over 1766785.87 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06849, over 28656.42 utterances.], batch size: 653, lr: 3.94e-04
+2022-09-17 23:40:48,353 INFO [train.py:885] (1/2) Epoch 12, batch 250, loss[loss=0.4191, simple_loss=0.4532, pruned_loss=0.1925, over 14363.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03247, over 244.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3551, pruned_loss=0.1136, over 1993658.54 frames. utt_duration=260.5 frames, utt_pad_proportion=0.06657, over 30782.23 utterances.], batch size: 244, lr: 3.94e-04
+2022-09-17 23:41:18,000 INFO [train.py:885] (1/2) Epoch 12, batch 300, loss[loss=0.4547, simple_loss=0.4672, pruned_loss=0.2211, over 14254.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04166, over 335.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.359, pruned_loss=0.1167, over 2172282.63 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06632, over 33793.51 utterances.], batch size: 335, lr: 3.93e-04
+2022-09-17 23:41:47,528 INFO [train.py:885] (1/2) Epoch 12, batch 350, loss[loss=0.2981, simple_loss=0.362, pruned_loss=0.1171, over 14283.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.0422, over 154.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3573, pruned_loss=0.1159, over 2307111.88 frames. utt_duration=262.6 frames, utt_pad_proportion=0.06779, over 35334.93 utterances.], batch size: 154, lr: 3.93e-04
+2022-09-17 23:42:17,333 INFO [train.py:885] (1/2) Epoch 12, batch 400, loss[loss=0.2433, simple_loss=0.3196, pruned_loss=0.08344, over 14332.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.04097, over 110.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3581, pruned_loss=0.1161, over 2411669.59 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06865, over 37807.20 utterances.], batch size: 110, lr: 3.93e-04
+2022-09-17 23:42:46,645 INFO [train.py:885] (1/2) Epoch 12, batch 450, loss[loss=0.2548, simple_loss=0.3096, pruned_loss=0.1, over 14033.00 frames. utt_duration=574.2 frames, utt_pad_proportion=0.05715, over 98.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3598, pruned_loss=0.1168, over 2492124.49 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07057, over 39409.62 utterances.], batch size: 98, lr: 3.93e-04
+2022-09-17 23:43:16,370 INFO [train.py:885] (1/2) Epoch 12, batch 500, loss[loss=0.3242, simple_loss=0.3757, pruned_loss=0.1363, over 14310.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03766, over 130.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3591, pruned_loss=0.1162, over 2560137.85 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06902, over 40066.61 utterances.], batch size: 130, lr: 3.93e-04
+2022-09-17 23:43:45,652 INFO [train.py:885] (1/2) Epoch 12, batch 550, loss[loss=0.3175, simple_loss=0.348, pruned_loss=0.1434, over 14126.00 frames. utt_duration=578 frames, utt_pad_proportion=0.05097, over 98.00 utterances.], tot_loss[loss=0.2975, simple_loss=0.3605, pruned_loss=0.1172, over 2611288.34 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06768, over 41402.53 utterances.], batch size: 98, lr: 3.93e-04
+2022-09-17 23:44:16,043 INFO [train.py:885] (1/2) Epoch 12, batch 600, loss[loss=0.199, simple_loss=0.2683, pruned_loss=0.06484, over 13880.00 frames. utt_duration=806.4 frames, utt_pad_proportion=0.06018, over 69.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3605, pruned_loss=0.117, over 2648323.64 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06811, over 41392.66 utterances.], batch size: 69, lr: 3.93e-04
+2022-09-17 23:44:45,411 INFO [train.py:885] (1/2) Epoch 12, batch 650, loss[loss=0.6431, simple_loss=0.6781, pruned_loss=0.3041, over 12527.00 frames. utt_duration=63.45 frames, utt_pad_proportion=0.1425, over 810.00 utterances.], tot_loss[loss=0.2972, simple_loss=0.3601, pruned_loss=0.1172, over 2671852.12 frames. utt_duration=256 frames, utt_pad_proportion=0.0721, over 41983.94 utterances.], batch size: 810, lr: 3.93e-04
+2022-09-17 23:45:15,164 INFO [train.py:885] (1/2) Epoch 12, batch 700, loss[loss=0.2915, simple_loss=0.3592, pruned_loss=0.1119, over 14311.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.0381, over 180.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3581, pruned_loss=0.1163, over 2695613.79 frames. utt_duration=261.8 frames, utt_pad_proportion=0.07098, over 41426.01 utterances.], batch size: 180, lr: 3.93e-04
+2022-09-17 23:45:44,203 INFO [train.py:885] (1/2) Epoch 12, batch 750, loss[loss=0.2542, simple_loss=0.3194, pruned_loss=0.09451, over 14270.00 frames. utt_duration=520.3 frames, utt_pad_proportion=0.04527, over 110.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3585, pruned_loss=0.1163, over 2712098.15 frames. utt_duration=259.9 frames, utt_pad_proportion=0.07151, over 41987.79 utterances.], batch size: 110, lr: 3.93e-04
+2022-09-17 23:46:13,897 INFO [train.py:885] (1/2) Epoch 12, batch 800, loss[loss=0.282, simple_loss=0.3268, pruned_loss=0.1186, over 14037.00 frames. utt_duration=803.5 frames, utt_pad_proportion=0.06243, over 70.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3621, pruned_loss=0.1188, over 2731130.49 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06927, over 42905.79 utterances.], batch size: 70, lr: 3.93e-04
+2022-09-17 23:46:43,711 INFO [train.py:885] (1/2) Epoch 12, batch 850, loss[loss=0.1717, simple_loss=0.2289, pruned_loss=0.0573, over 13136.00 frames. utt_duration=1594 frames, utt_pad_proportion=0.1155, over 33.00 utterances.], tot_loss[loss=0.3009, simple_loss=0.3629, pruned_loss=0.1195, over 2737192.62 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07239, over 43681.87 utterances.], batch size: 33, lr: 3.93e-04
+2022-09-17 23:47:13,183 INFO [train.py:885] (1/2) Epoch 12, batch 900, loss[loss=0.1797, simple_loss=0.2339, pruned_loss=0.06276, over 13269.00 frames. utt_duration=1610 frames, utt_pad_proportion=0.1017, over 33.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.3608, pruned_loss=0.1184, over 2745502.93 frames. utt_duration=257.7 frames, utt_pad_proportion=0.07123, over 42862.02 utterances.], batch size: 33, lr: 3.93e-04
+2022-09-17 23:47:43,105 INFO [train.py:885] (1/2) Epoch 12, batch 950, loss[loss=0.2252, simple_loss=0.2909, pruned_loss=0.07974, over 13855.00 frames. utt_duration=804.8 frames, utt_pad_proportion=0.06199, over 69.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.368, pruned_loss=0.1218, over 2752415.63 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07338, over 45919.80 utterances.], batch size: 69, lr: 3.93e-04
+2022-09-17 23:48:19,404 INFO [train.py:885] (1/2) Epoch 12, batch 1000, loss[loss=0.3243, simple_loss=0.39, pruned_loss=0.1293, over 14311.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03929, over 283.00 utterances.], tot_loss[loss=0.3117, simple_loss=0.3728, pruned_loss=0.1253, over 2762364.68 frames. utt_duration=238 frames, utt_pad_proportion=0.07297, over 46707.92 utterances.], batch size: 283, lr: 3.92e-04
+2022-09-17 23:48:49,160 INFO [train.py:885] (1/2) Epoch 12, batch 1050, loss[loss=0.3987, simple_loss=0.4278, pruned_loss=0.1849, over 14303.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03909, over 283.00 utterances.], tot_loss[loss=0.3165, simple_loss=0.3782, pruned_loss=0.1274, over 2761752.56 frames. utt_duration=225.1 frames, utt_pad_proportion=0.07403, over 49405.43 utterances.], batch size: 283, lr: 3.92e-04
+2022-09-17 23:49:18,521 INFO [train.py:885] (1/2) Epoch 12, batch 1100, loss[loss=0.4233, simple_loss=0.4639, pruned_loss=0.1913, over 13985.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05653, over 365.00 utterances.], tot_loss[loss=0.3094, simple_loss=0.3707, pruned_loss=0.124, over 2768812.51 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07193, over 46180.22 utterances.], batch size: 365, lr: 3.92e-04
+2022-09-17 23:49:48,453 INFO [train.py:885] (1/2) Epoch 12, batch 1150, loss[loss=0.2789, simple_loss=0.3374, pruned_loss=0.1102, over 14291.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.03883, over 120.00 utterances.], tot_loss[loss=0.3112, simple_loss=0.3723, pruned_loss=0.1251, over 2772494.27 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07212, over 46831.78 utterances.], batch size: 120, lr: 3.92e-04
+2022-09-17 23:50:18,749 INFO [train.py:885] (1/2) Epoch 12, batch 1200, loss[loss=0.1773, simple_loss=0.2346, pruned_loss=0.05999, over 13366.00 frames. utt_duration=1622 frames, utt_pad_proportion=0.1015, over 33.00 utterances.], tot_loss[loss=0.3114, simple_loss=0.373, pruned_loss=0.1249, over 2772519.74 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07289, over 47138.99 utterances.], batch size: 33, lr: 3.92e-04
+2022-09-17 23:50:48,333 INFO [train.py:885] (1/2) Epoch 12, batch 1250, loss[loss=0.3166, simple_loss=0.3653, pruned_loss=0.1339, over 14287.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.04101, over 120.00 utterances.], tot_loss[loss=0.3101, simple_loss=0.3714, pruned_loss=0.1244, over 2771357.04 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07187, over 46857.39 utterances.], batch size: 120, lr: 3.92e-04
+2022-09-17 23:51:18,143 INFO [train.py:885] (1/2) Epoch 12, batch 1300, loss[loss=0.1728, simple_loss=0.2342, pruned_loss=0.05574, over 13419.00 frames. utt_duration=1279 frames, utt_pad_proportion=0.0997, over 42.00 utterances.], tot_loss[loss=0.3078, simple_loss=0.3693, pruned_loss=0.1232, over 2773503.70 frames. utt_duration=241.3 frames, utt_pad_proportion=0.0711, over 46266.26 utterances.], batch size: 42, lr: 3.92e-04
+2022-09-17 23:51:48,442 INFO [train.py:885] (1/2) Epoch 12, batch 1350, loss[loss=0.2558, simple_loss=0.3141, pruned_loss=0.09874, over 14184.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04433, over 109.00 utterances.], tot_loss[loss=0.3086, simple_loss=0.3697, pruned_loss=0.1238, over 2771103.67 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07342, over 46741.59 utterances.], batch size: 109, lr: 3.92e-04
+2022-09-17 23:52:18,119 INFO [train.py:885] (1/2) Epoch 12, batch 1400, loss[loss=0.3863, simple_loss=0.4298, pruned_loss=0.1714, over 14292.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.03989, over 283.00 utterances.], tot_loss[loss=0.3099, simple_loss=0.3712, pruned_loss=0.1242, over 2775637.19 frames. utt_duration=238 frames, utt_pad_proportion=0.07389, over 46950.09 utterances.], batch size: 283, lr: 3.92e-04
+2022-09-17 23:52:46,939 INFO [train.py:885] (1/2) Epoch 12, batch 1450, loss[loss=0.2004, simple_loss=0.2655, pruned_loss=0.06768, over 13868.00 frames. utt_duration=805.3 frames, utt_pad_proportion=0.06248, over 69.00 utterances.], tot_loss[loss=0.3044, simple_loss=0.366, pruned_loss=0.1214, over 2774197.72 frames. utt_duration=245 frames, utt_pad_proportion=0.075, over 45572.70 utterances.], batch size: 69, lr: 3.92e-04
+2022-09-17 23:53:17,304 INFO [train.py:885] (1/2) Epoch 12, batch 1500, loss[loss=0.1659, simple_loss=0.2099, pruned_loss=0.06097, over 12738.00 frames. utt_duration=2125 frames, utt_pad_proportion=0.1395, over 24.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3684, pruned_loss=0.1228, over 2773887.13 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07486, over 46551.21 utterances.], batch size: 24, lr: 3.92e-04
+2022-09-17 23:53:46,860 INFO [train.py:885] (1/2) Epoch 12, batch 1550, loss[loss=0.267, simple_loss=0.3456, pruned_loss=0.09416, over 14336.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03966, over 167.00 utterances.], tot_loss[loss=0.308, simple_loss=0.3693, pruned_loss=0.1233, over 2775434.97 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07438, over 46966.57 utterances.], batch size: 167, lr: 3.92e-04
+2022-09-17 23:54:15,976 INFO [train.py:885] (1/2) Epoch 12, batch 1600, loss[loss=0.219, simple_loss=0.2791, pruned_loss=0.07946, over 13547.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08737, over 50.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3657, pruned_loss=0.1216, over 2779124.19 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07197, over 44539.34 utterances.], batch size: 50, lr: 3.92e-04
+2022-09-17 23:54:45,189 INFO [train.py:885] (1/2) Epoch 12, batch 1650, loss[loss=0.4369, simple_loss=0.4553, pruned_loss=0.2092, over 14299.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.0415, over 154.00 utterances.], tot_loss[loss=0.3049, simple_loss=0.3664, pruned_loss=0.1217, over 2773399.64 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07287, over 45021.94 utterances.], batch size: 154, lr: 3.92e-04
+2022-09-17 23:55:14,885 INFO [train.py:885] (1/2) Epoch 12, batch 1700, loss[loss=0.2706, simple_loss=0.3488, pruned_loss=0.0962, over 14360.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03791, over 167.00 utterances.], tot_loss[loss=0.3021, simple_loss=0.3642, pruned_loss=0.12, over 2778151.60 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07212, over 44607.10 utterances.], batch size: 167, lr: 3.91e-04
+2022-09-17 23:55:44,381 INFO [train.py:885] (1/2) Epoch 12, batch 1750, loss[loss=0.2968, simple_loss=0.3682, pruned_loss=0.1127, over 14318.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04005, over 154.00 utterances.], tot_loss[loss=0.3028, simple_loss=0.3657, pruned_loss=0.1199, over 2776379.42 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07231, over 45726.63 utterances.], batch size: 154, lr: 3.91e-04
+2022-09-17 23:56:14,140 INFO [train.py:885] (1/2) Epoch 12, batch 1800, loss[loss=0.4229, simple_loss=0.4981, pruned_loss=0.1738, over 13142.00 frames. utt_duration=82.09 frames, utt_pad_proportion=0.1077, over 653.00 utterances.], tot_loss[loss=0.304, simple_loss=0.3664, pruned_loss=0.1208, over 2777394.92 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07307, over 45856.33 utterances.], batch size: 653, lr: 3.91e-04
+2022-09-17 23:56:43,623 INFO [train.py:885] (1/2) Epoch 12, batch 1850, loss[loss=0.338, simple_loss=0.4261, pruned_loss=0.125, over 13667.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07274, over 478.00 utterances.], tot_loss[loss=0.3048, simple_loss=0.3669, pruned_loss=0.1213, over 2781907.01 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07134, over 46109.84 utterances.], batch size: 478, lr: 3.91e-04
+2022-09-17 23:57:12,810 INFO [train.py:885] (1/2) Epoch 12, batch 1900, loss[loss=0.2227, simple_loss=0.2544, pruned_loss=0.09554, over 13002.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.126, over 33.00 utterances.], tot_loss[loss=0.306, simple_loss=0.3685, pruned_loss=0.1218, over 2780594.73 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07317, over 46882.15 utterances.], batch size: 33, lr: 3.91e-04
+2022-09-17 23:57:42,228 INFO [train.py:885] (1/2) Epoch 12, batch 1950, loss[loss=0.1534, simple_loss=0.2158, pruned_loss=0.04553, over 12366.00 frames. utt_duration=2062 frames, utt_pad_proportion=0.1474, over 24.00 utterances.], tot_loss[loss=0.3019, simple_loss=0.3645, pruned_loss=0.1197, over 2780465.64 frames. utt_duration=245.6 frames, utt_pad_proportion=0.0709, over 45550.02 utterances.], batch size: 24, lr: 3.91e-04
+2022-09-17 23:58:11,006 INFO [train.py:885] (1/2) Epoch 12, batch 2000, loss[loss=0.3042, simple_loss=0.3926, pruned_loss=0.1079, over 13964.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05862, over 365.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3631, pruned_loss=0.1187, over 2781239.35 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07139, over 44419.80 utterances.], batch size: 365, lr: 3.91e-04
+2022-09-17 23:58:41,412 INFO [train.py:885] (1/2) Epoch 12, batch 2050, loss[loss=0.1904, simple_loss=0.2512, pruned_loss=0.06477, over 13500.00 frames. utt_duration=1319 frames, utt_pad_proportion=0.07922, over 41.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3581, pruned_loss=0.1165, over 2781465.76 frames. utt_duration=267.3 frames, utt_pad_proportion=0.06973, over 41854.83 utterances.], batch size: 41, lr: 3.91e-04
+2022-09-17 23:59:11,222 INFO [train.py:885] (1/2) Epoch 12, batch 2100, loss[loss=0.219, simple_loss=0.2763, pruned_loss=0.0809, over 14104.00 frames. utt_duration=807.4 frames, utt_pad_proportion=0.05674, over 70.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3562, pruned_loss=0.1155, over 2789047.63 frames. utt_duration=278.8 frames, utt_pad_proportion=0.06654, over 40220.60 utterances.], batch size: 70, lr: 3.91e-04
+2022-09-17 23:59:40,943 INFO [train.py:885] (1/2) Epoch 12, batch 2150, loss[loss=0.1633, simple_loss=0.2342, pruned_loss=0.04617, over 13739.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.07712, over 42.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.3624, pruned_loss=0.1182, over 2783692.91 frames. utt_duration=258.2 frames, utt_pad_proportion=0.07161, over 43365.83 utterances.], batch size: 42, lr: 3.91e-04
+2022-09-18 00:00:11,167 INFO [train.py:885] (1/2) Epoch 12, batch 2200, loss[loss=0.2919, simple_loss=0.3589, pruned_loss=0.1125, over 14329.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04005, over 167.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.3652, pruned_loss=0.119, over 2779777.34 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07144, over 44801.79 utterances.], batch size: 167, lr: 3.91e-04
+2022-09-18 00:00:40,599 INFO [train.py:885] (1/2) Epoch 12, batch 2250, loss[loss=0.2224, simple_loss=0.2941, pruned_loss=0.0753, over 13818.00 frames. utt_duration=802.6 frames, utt_pad_proportion=0.0657, over 69.00 utterances.], tot_loss[loss=0.3023, simple_loss=0.3652, pruned_loss=0.1197, over 2777155.22 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07384, over 45408.55 utterances.], batch size: 69, lr: 3.91e-04
+2022-09-18 00:01:10,727 INFO [train.py:885] (1/2) Epoch 12, batch 2300, loss[loss=0.2211, simple_loss=0.2898, pruned_loss=0.07616, over 14048.00 frames. utt_duration=712.9 frames, utt_pad_proportion=0.0558, over 79.00 utterances.], tot_loss[loss=0.3052, simple_loss=0.3682, pruned_loss=0.1212, over 2778116.91 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07494, over 46532.87 utterances.], batch size: 79, lr: 3.91e-04
+2022-09-18 00:01:40,246 INFO [train.py:885] (1/2) Epoch 12, batch 2350, loss[loss=0.3221, simple_loss=0.3793, pruned_loss=0.1324, over 14252.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04164, over 225.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3686, pruned_loss=0.1215, over 2783226.25 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07412, over 46366.52 utterances.], batch size: 225, lr: 3.91e-04
+2022-09-18 00:02:10,171 INFO [train.py:885] (1/2) Epoch 12, batch 2400, loss[loss=0.3321, simple_loss=0.4132, pruned_loss=0.1255, over 13981.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05713, over 365.00 utterances.], tot_loss[loss=0.3047, simple_loss=0.3681, pruned_loss=0.1206, over 2780127.20 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07526, over 46356.96 utterances.], batch size: 365, lr: 3.91e-04
+2022-09-18 00:02:39,690 INFO [train.py:885] (1/2) Epoch 12, batch 2450, loss[loss=0.3698, simple_loss=0.4145, pruned_loss=0.1626, over 14204.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04432, over 306.00 utterances.], tot_loss[loss=0.3044, simple_loss=0.3678, pruned_loss=0.1204, over 2784410.87 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07252, over 45806.68 utterances.], batch size: 306, lr: 3.90e-04
+2022-09-18 00:03:09,009 INFO [train.py:885] (1/2) Epoch 12, batch 2500, loss[loss=0.2388, simple_loss=0.3101, pruned_loss=0.08382, over 14232.00 frames. utt_duration=518.9 frames, utt_pad_proportion=0.04781, over 110.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.368, pruned_loss=0.1203, over 2787326.14 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07083, over 45703.70 utterances.], batch size: 110, lr: 3.90e-04
+2022-09-18 00:03:39,087 INFO [train.py:885] (1/2) Epoch 12, batch 2550, loss[loss=0.3392, simple_loss=0.418, pruned_loss=0.1302, over 13964.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05797, over 365.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3704, pruned_loss=0.1218, over 2780091.57 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07296, over 47232.31 utterances.], batch size: 365, lr: 3.90e-04
+2022-09-18 00:04:08,635 INFO [train.py:885] (1/2) Epoch 12, batch 2600, loss[loss=0.3104, simple_loss=0.3788, pruned_loss=0.121, over 14343.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03708, over 262.00 utterances.], tot_loss[loss=0.3056, simple_loss=0.3692, pruned_loss=0.121, over 2784087.10 frames. utt_duration=241.6 frames, utt_pad_proportion=0.0715, over 46378.20 utterances.], batch size: 262, lr: 3.90e-04
+2022-09-18 00:04:38,219 INFO [train.py:885] (1/2) Epoch 12, batch 2650, loss[loss=0.2188, simple_loss=0.2596, pruned_loss=0.08901, over 12484.00 frames. utt_duration=1999 frames, utt_pad_proportion=0.1409, over 25.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.365, pruned_loss=0.1191, over 2779836.52 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07056, over 45221.50 utterances.], batch size: 25, lr: 3.90e-04
+2022-09-18 00:05:07,200 INFO [train.py:885] (1/2) Epoch 12, batch 2700, loss[loss=0.181, simple_loss=0.2523, pruned_loss=0.05489, over 13807.00 frames. utt_duration=801.9 frames, utt_pad_proportion=0.06651, over 69.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3644, pruned_loss=0.1193, over 2779474.92 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07061, over 44289.02 utterances.], batch size: 69, lr: 3.90e-04
+2022-09-18 00:05:36,723 INFO [train.py:885] (1/2) Epoch 12, batch 2750, loss[loss=0.2541, simple_loss=0.3242, pruned_loss=0.09204, over 14276.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04147, over 141.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.3647, pruned_loss=0.1194, over 2781566.18 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06874, over 44799.22 utterances.], batch size: 141, lr: 3.90e-04
+2022-09-18 00:06:06,785 INFO [train.py:885] (1/2) Epoch 12, batch 2800, loss[loss=0.1899, simple_loss=0.2478, pruned_loss=0.06599, over 13611.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08236, over 50.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3598, pruned_loss=0.1167, over 2779489.34 frames. utt_duration=257.8 frames, utt_pad_proportion=0.06789, over 43372.27 utterances.], batch size: 50, lr: 3.90e-04
+2022-09-18 00:06:36,187 INFO [train.py:885] (1/2) Epoch 12, batch 2850, loss[loss=0.2314, simple_loss=0.2887, pruned_loss=0.08702, over 13135.00 frames. utt_duration=2022 frames, utt_pad_proportion=0.1059, over 26.00 utterances.], tot_loss[loss=0.301, simple_loss=0.3639, pruned_loss=0.1191, over 2773864.53 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07214, over 45268.52 utterances.], batch size: 26, lr: 3.90e-04
+2022-09-18 00:07:06,139 INFO [train.py:885] (1/2) Epoch 12, batch 2900, loss[loss=0.1933, simple_loss=0.2514, pruned_loss=0.06756, over 12018.00 frames. utt_duration=2005 frames, utt_pad_proportion=0.1747, over 24.00 utterances.], tot_loss[loss=0.3063, simple_loss=0.3684, pruned_loss=0.1221, over 2774966.54 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07167, over 46594.99 utterances.], batch size: 24, lr: 3.90e-04
+2022-09-18 00:07:35,875 INFO [train.py:885] (1/2) Epoch 12, batch 2950, loss[loss=0.329, simple_loss=0.3927, pruned_loss=0.1327, over 14279.00 frames. utt_duration=219.4 frames, utt_pad_proportion=0.04177, over 262.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3663, pruned_loss=0.1211, over 2777936.93 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07124, over 45705.88 utterances.], batch size: 262, lr: 3.90e-04
+2022-09-18 00:08:05,599 INFO [train.py:885] (1/2) Epoch 12, batch 3000, loss[loss=0.1911, simple_loss=0.2532, pruned_loss=0.06447, over 13972.00 frames. utt_duration=799.8 frames, utt_pad_proportion=0.06564, over 70.00 utterances.], tot_loss[loss=0.3046, simple_loss=0.3665, pruned_loss=0.1213, over 2776278.40 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07128, over 46397.76 utterances.], batch size: 70, lr: 3.90e-04
+2022-09-18 00:08:05,599 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 00:08:10,309 INFO [train.py:914] (1/2) Epoch 12, validation: loss=0.204, simple_loss=0.2849, pruned_loss=0.06157, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 00:08:40,531 INFO [train.py:885] (1/2) Epoch 12, batch 3050, loss[loss=0.3307, simple_loss=0.3964, pruned_loss=0.1325, over 14337.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03795, over 283.00 utterances.], tot_loss[loss=0.3052, simple_loss=0.367, pruned_loss=0.1217, over 2778393.95 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07069, over 46183.38 utterances.], batch size: 283, lr: 3.90e-04
+2022-09-18 00:09:08,996 INFO [train.py:885] (1/2) Epoch 12, batch 3100, loss[loss=0.25, simple_loss=0.3126, pruned_loss=0.09372, over 14021.00 frames. utt_duration=711.5 frames, utt_pad_proportion=0.05889, over 79.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3637, pruned_loss=0.1192, over 2778999.11 frames. utt_duration=246.3 frames, utt_pad_proportion=0.0697, over 45393.98 utterances.], batch size: 79, lr: 3.90e-04
+2022-09-18 00:09:38,048 INFO [train.py:885] (1/2) Epoch 12, batch 3150, loss[loss=0.1824, simple_loss=0.2404, pruned_loss=0.06223, over 13600.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.08611, over 42.00 utterances.], tot_loss[loss=0.3013, simple_loss=0.3647, pruned_loss=0.1189, over 2782542.77 frames. utt_duration=241.8 frames, utt_pad_proportion=0.06829, over 46320.76 utterances.], batch size: 42, lr: 3.89e-04
+2022-09-18 00:10:08,056 INFO [train.py:885] (1/2) Epoch 12, batch 3200, loss[loss=0.1845, simple_loss=0.2343, pruned_loss=0.06735, over 13598.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08405, over 50.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.3649, pruned_loss=0.1193, over 2778382.62 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07094, over 46661.06 utterances.], batch size: 50, lr: 3.89e-04
+2022-09-18 00:10:38,237 INFO [train.py:885] (1/2) Epoch 12, batch 3250, loss[loss=0.2086, simple_loss=0.2699, pruned_loss=0.07365, over 12984.00 frames. utt_duration=2079 frames, utt_pad_proportion=0.1286, over 25.00 utterances.], tot_loss[loss=0.306, simple_loss=0.3686, pruned_loss=0.1217, over 2777252.77 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07216, over 47461.14 utterances.], batch size: 25, lr: 3.89e-04
+2022-09-18 00:11:08,034 INFO [train.py:885] (1/2) Epoch 12, batch 3300, loss[loss=0.5688, simple_loss=0.6345, pruned_loss=0.2516, over 12557.00 frames. utt_duration=63.57 frames, utt_pad_proportion=0.1409, over 810.00 utterances.], tot_loss[loss=0.3094, simple_loss=0.3713, pruned_loss=0.1237, over 2778167.93 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07331, over 48083.32 utterances.], batch size: 810, lr: 3.89e-04
+2022-09-18 00:11:37,281 INFO [train.py:885] (1/2) Epoch 12, batch 3350, loss[loss=0.2544, simple_loss=0.3283, pruned_loss=0.09024, over 14206.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04851, over 141.00 utterances.], tot_loss[loss=0.3047, simple_loss=0.3672, pruned_loss=0.1211, over 2776462.27 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07269, over 46670.47 utterances.], batch size: 141, lr: 3.89e-04
+2022-09-18 00:12:07,194 INFO [train.py:885] (1/2) Epoch 12, batch 3400, loss[loss=0.4682, simple_loss=0.5003, pruned_loss=0.2181, over 13985.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05718, over 365.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.3707, pruned_loss=0.1225, over 2776268.29 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07412, over 48141.04 utterances.], batch size: 365, lr: 3.89e-04
+2022-09-18 00:12:36,515 INFO [train.py:885] (1/2) Epoch 12, batch 3450, loss[loss=0.1746, simple_loss=0.2344, pruned_loss=0.0574, over 13048.00 frames. utt_duration=2089 frames, utt_pad_proportion=0.09982, over 25.00 utterances.], tot_loss[loss=0.308, simple_loss=0.3711, pruned_loss=0.1225, over 2778823.65 frames. utt_duration=230.4 frames, utt_pad_proportion=0.07211, over 48545.25 utterances.], batch size: 25, lr: 3.89e-04
+2022-09-18 00:13:06,675 INFO [train.py:885] (1/2) Epoch 12, batch 3500, loss[loss=0.215, simple_loss=0.2747, pruned_loss=0.07765, over 14053.00 frames. utt_duration=713 frames, utt_pad_proportion=0.05693, over 79.00 utterances.], tot_loss[loss=0.3069, simple_loss=0.3702, pruned_loss=0.1218, over 2774902.41 frames. utt_duration=232.1 frames, utt_pad_proportion=0.0745, over 48133.16 utterances.], batch size: 79, lr: 3.89e-04
+2022-09-18 00:13:35,915 INFO [train.py:885] (1/2) Epoch 12, batch 3550, loss[loss=0.227, simple_loss=0.2913, pruned_loss=0.08141, over 14161.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.04535, over 109.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3662, pruned_loss=0.1207, over 2779955.59 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07155, over 45317.50 utterances.], batch size: 109, lr: 3.89e-04
+2022-09-18 00:14:06,031 INFO [train.py:885] (1/2) Epoch 12, batch 3600, loss[loss=0.2135, simple_loss=0.278, pruned_loss=0.07449, over 14152.00 frames. utt_duration=637.3 frames, utt_pad_proportion=0.05019, over 89.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3626, pruned_loss=0.1186, over 2778813.31 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07271, over 44229.50 utterances.], batch size: 89, lr: 3.89e-04
+2022-09-18 00:14:35,303 INFO [train.py:885] (1/2) Epoch 12, batch 3650, loss[loss=0.2697, simple_loss=0.3442, pruned_loss=0.09754, over 14353.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.03916, over 155.00 utterances.], tot_loss[loss=0.3027, simple_loss=0.3643, pruned_loss=0.1205, over 2776777.98 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07166, over 44177.12 utterances.], batch size: 155, lr: 3.89e-04
+2022-09-18 00:15:05,281 INFO [train.py:885] (1/2) Epoch 12, batch 3700, loss[loss=0.35, simple_loss=0.4028, pruned_loss=0.1486, over 14344.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03807, over 262.00 utterances.], tot_loss[loss=0.3063, simple_loss=0.3681, pruned_loss=0.1223, over 2777298.49 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07226, over 46086.97 utterances.], batch size: 262, lr: 3.89e-04
+2022-09-18 00:15:35,155 INFO [train.py:885] (1/2) Epoch 12, batch 3750, loss[loss=0.3304, simple_loss=0.3919, pruned_loss=0.1345, over 14354.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.0356, over 226.00 utterances.], tot_loss[loss=0.308, simple_loss=0.3694, pruned_loss=0.1233, over 2770422.58 frames. utt_duration=238 frames, utt_pad_proportion=0.07593, over 46849.33 utterances.], batch size: 226, lr: 3.89e-04
+2022-09-18 00:16:13,701 INFO [train.py:885] (1/2) Epoch 12, batch 3800, loss[loss=0.265, simple_loss=0.312, pruned_loss=0.1091, over 14010.00 frames. utt_duration=802.2 frames, utt_pad_proportion=0.06179, over 70.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3686, pruned_loss=0.123, over 2770609.99 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07578, over 46333.36 utterances.], batch size: 70, lr: 3.89e-04
+2022-09-18 00:16:43,853 INFO [train.py:885] (1/2) Epoch 12, batch 3850, loss[loss=0.2861, simple_loss=0.3569, pruned_loss=0.1076, over 14331.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.0377, over 120.00 utterances.], tot_loss[loss=0.3048, simple_loss=0.3668, pruned_loss=0.1214, over 2771798.82 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07512, over 45958.01 utterances.], batch size: 120, lr: 3.89e-04
+2022-09-18 00:17:12,902 INFO [train.py:885] (1/2) Epoch 12, batch 3900, loss[loss=0.2305, simple_loss=0.2951, pruned_loss=0.08295, over 13917.00 frames. utt_duration=706.1 frames, utt_pad_proportion=0.06478, over 79.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.366, pruned_loss=0.1201, over 2777148.59 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07351, over 46105.67 utterances.], batch size: 79, lr: 3.88e-04
+2022-09-18 00:17:42,706 INFO [train.py:885] (1/2) Epoch 12, batch 3950, loss[loss=0.2949, simple_loss=0.3698, pruned_loss=0.11, over 14314.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03942, over 262.00 utterances.], tot_loss[loss=0.3064, simple_loss=0.3679, pruned_loss=0.1225, over 2779576.40 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07273, over 45960.89 utterances.], batch size: 262, lr: 3.88e-04
+2022-09-18 00:18:12,365 INFO [train.py:885] (1/2) Epoch 12, batch 4000, loss[loss=0.4193, simple_loss=0.4814, pruned_loss=0.1786, over 13755.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07283, over 411.00 utterances.], tot_loss[loss=0.306, simple_loss=0.3678, pruned_loss=0.1221, over 2787453.20 frames. utt_duration=245.7 frames, utt_pad_proportion=0.06986, over 45658.38 utterances.], batch size: 411, lr: 3.88e-04
+2022-09-18 00:18:42,277 INFO [train.py:885] (1/2) Epoch 12, batch 4050, loss[loss=0.2097, simple_loss=0.261, pruned_loss=0.0792, over 13667.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.07398, over 50.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.3685, pruned_loss=0.1215, over 2783306.17 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07218, over 46129.80 utterances.], batch size: 50, lr: 3.88e-04
+2022-09-18 00:19:11,891 INFO [train.py:885] (1/2) Epoch 12, batch 4100, loss[loss=0.2065, simple_loss=0.2685, pruned_loss=0.0723, over 13754.00 frames. utt_duration=1312 frames, utt_pad_proportion=0.07567, over 42.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.3681, pruned_loss=0.1213, over 2783418.51 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07171, over 45938.35 utterances.], batch size: 42, lr: 3.88e-04
+2022-09-18 00:19:41,811 INFO [train.py:885] (1/2) Epoch 12, batch 4150, loss[loss=0.2103, simple_loss=0.2844, pruned_loss=0.06809, over 14163.00 frames. utt_duration=637.8 frames, utt_pad_proportion=0.04941, over 89.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3659, pruned_loss=0.1194, over 2781248.38 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07142, over 45578.43 utterances.], batch size: 89, lr: 3.88e-04
+2022-09-18 00:20:11,385 INFO [train.py:885] (1/2) Epoch 12, batch 4200, loss[loss=0.3232, simple_loss=0.3684, pruned_loss=0.139, over 14130.00 frames. utt_duration=520 frames, utt_pad_proportion=0.04764, over 109.00 utterances.], tot_loss[loss=0.3028, simple_loss=0.3661, pruned_loss=0.1197, over 2781813.77 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07025, over 45251.23 utterances.], batch size: 109, lr: 3.88e-04
+2022-09-18 00:20:41,081 INFO [train.py:885] (1/2) Epoch 12, batch 4250, loss[loss=0.3011, simple_loss=0.3611, pruned_loss=0.1206, over 14345.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03893, over 167.00 utterances.], tot_loss[loss=0.2987, simple_loss=0.362, pruned_loss=0.1177, over 2782678.35 frames. utt_duration=256.1 frames, utt_pad_proportion=0.07029, over 43716.10 utterances.], batch size: 167, lr: 3.88e-04
+2022-09-18 00:21:10,504 INFO [train.py:885] (1/2) Epoch 12, batch 4300, loss[loss=0.3035, simple_loss=0.3754, pruned_loss=0.1158, over 14294.00 frames. utt_duration=294.7 frames, utt_pad_proportion=0.04016, over 195.00 utterances.], tot_loss[loss=0.2964, simple_loss=0.3595, pruned_loss=0.1166, over 2782357.03 frames. utt_duration=261.1 frames, utt_pad_proportion=0.06941, over 42870.40 utterances.], batch size: 195, lr: 3.88e-04
+2022-09-18 00:21:40,386 INFO [train.py:885] (1/2) Epoch 12, batch 4350, loss[loss=0.3284, simple_loss=0.3923, pruned_loss=0.1322, over 14296.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.0401, over 283.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3585, pruned_loss=0.1166, over 2784059.86 frames. utt_duration=267.8 frames, utt_pad_proportion=0.06671, over 41807.43 utterances.], batch size: 283, lr: 3.88e-04
+2022-09-18 00:22:10,019 INFO [train.py:885] (1/2) Epoch 12, batch 4400, loss[loss=0.3797, simple_loss=0.4685, pruned_loss=0.1454, over 13601.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08329, over 477.00 utterances.], tot_loss[loss=0.3006, simple_loss=0.3628, pruned_loss=0.1192, over 2780864.90 frames. utt_duration=257.3 frames, utt_pad_proportion=0.07001, over 43480.74 utterances.], batch size: 477, lr: 3.88e-04
+2022-09-18 00:22:39,766 INFO [train.py:885] (1/2) Epoch 12, batch 4450, loss[loss=0.3084, simple_loss=0.3758, pruned_loss=0.1205, over 14256.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04234, over 225.00 utterances.], tot_loss[loss=0.3023, simple_loss=0.3642, pruned_loss=0.1202, over 2780244.57 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07012, over 44501.00 utterances.], batch size: 225, lr: 3.88e-04
+2022-09-18 00:23:09,658 INFO [train.py:885] (1/2) Epoch 12, batch 4500, loss[loss=0.4466, simple_loss=0.5185, pruned_loss=0.1873, over 13127.00 frames. utt_duration=81.86 frames, utt_pad_proportion=0.1102, over 653.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3632, pruned_loss=0.1192, over 2781183.49 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07075, over 44424.16 utterances.], batch size: 653, lr: 3.88e-04
+2022-09-18 00:23:38,723 INFO [train.py:885] (1/2) Epoch 12, batch 4550, loss[loss=0.1901, simple_loss=0.2463, pruned_loss=0.06688, over 13846.00 frames. utt_duration=924.5 frames, utt_pad_proportion=0.07085, over 60.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.3601, pruned_loss=0.1177, over 2782836.20 frames. utt_duration=262.4 frames, utt_pad_proportion=0.06843, over 42660.58 utterances.], batch size: 60, lr: 3.88e-04
+2022-09-18 00:24:08,174 INFO [train.py:885] (1/2) Epoch 12, batch 4600, loss[loss=0.1962, simple_loss=0.2535, pruned_loss=0.0694, over 13246.00 frames. utt_duration=1607 frames, utt_pad_proportion=0.1083, over 33.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3614, pruned_loss=0.1184, over 2784835.48 frames. utt_duration=258.9 frames, utt_pad_proportion=0.06834, over 43269.63 utterances.], batch size: 33, lr: 3.88e-04
+2022-09-18 00:24:37,765 INFO [train.py:885] (1/2) Epoch 12, batch 4650, loss[loss=0.3858, simple_loss=0.4342, pruned_loss=0.1687, over 14194.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04533, over 306.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.3607, pruned_loss=0.1184, over 2782732.41 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06947, over 43571.34 utterances.], batch size: 306, lr: 3.87e-04
+2022-09-18 00:25:07,967 INFO [train.py:885] (1/2) Epoch 12, batch 4700, loss[loss=0.438, simple_loss=0.4609, pruned_loss=0.2075, over 14269.00 frames. utt_duration=203.1 frames, utt_pad_proportion=0.04184, over 283.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3618, pruned_loss=0.1186, over 2776883.30 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07121, over 44273.11 utterances.], batch size: 283, lr: 3.87e-04
+2022-09-18 00:25:37,228 INFO [train.py:885] (1/2) Epoch 12, batch 4750, loss[loss=0.3521, simple_loss=0.4077, pruned_loss=0.1483, over 14231.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04282, over 306.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3636, pruned_loss=0.1193, over 2777185.58 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07062, over 44617.03 utterances.], batch size: 306, lr: 3.87e-04
+2022-09-18 00:26:06,629 INFO [train.py:885] (1/2) Epoch 12, batch 4800, loss[loss=0.1788, simple_loss=0.2438, pruned_loss=0.05689, over 13499.00 frames. utt_duration=1637 frames, utt_pad_proportion=0.0925, over 33.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.3623, pruned_loss=0.1183, over 2778443.03 frames. utt_duration=255.2 frames, utt_pad_proportion=0.07027, over 43803.14 utterances.], batch size: 33, lr: 3.87e-04
+2022-09-18 00:26:35,971 INFO [train.py:885] (1/2) Epoch 12, batch 4850, loss[loss=0.2095, simple_loss=0.2914, pruned_loss=0.06378, over 13952.00 frames. utt_duration=707.6 frames, utt_pad_proportion=0.06396, over 79.00 utterances.], tot_loss[loss=0.3021, simple_loss=0.3653, pruned_loss=0.1195, over 2779371.73 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06997, over 45401.58 utterances.], batch size: 79, lr: 3.87e-04
+2022-09-18 00:27:05,526 INFO [train.py:885] (1/2) Epoch 12, batch 4900, loss[loss=0.2905, simple_loss=0.3592, pruned_loss=0.1108, over 14315.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04135, over 167.00 utterances.], tot_loss[loss=0.305, simple_loss=0.3674, pruned_loss=0.1213, over 2778627.82 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07064, over 45427.79 utterances.], batch size: 167, lr: 3.87e-04
+2022-09-18 00:27:35,045 INFO [train.py:885] (1/2) Epoch 12, batch 4950, loss[loss=0.3, simple_loss=0.3484, pruned_loss=0.1258, over 14024.00 frames. utt_duration=573.9 frames, utt_pad_proportion=0.05767, over 98.00 utterances.], tot_loss[loss=0.3055, simple_loss=0.3682, pruned_loss=0.1215, over 2777422.56 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07055, over 45765.95 utterances.], batch size: 98, lr: 3.87e-04
+2022-09-18 00:28:04,059 INFO [train.py:885] (1/2) Epoch 12, batch 5000, loss[loss=0.1923, simple_loss=0.2588, pruned_loss=0.06295, over 13923.00 frames. utt_duration=929.5 frames, utt_pad_proportion=0.06675, over 60.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3665, pruned_loss=0.1206, over 2781028.01 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06864, over 45062.36 utterances.], batch size: 60, lr: 3.87e-04
+2022-09-18 00:28:34,596 INFO [train.py:885] (1/2) Epoch 12, batch 5050, loss[loss=0.2146, simple_loss=0.2871, pruned_loss=0.07099, over 13277.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.09489, over 41.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3652, pruned_loss=0.1197, over 2781251.66 frames. utt_duration=251 frames, utt_pad_proportion=0.06889, over 44591.66 utterances.], batch size: 41, lr: 3.87e-04
+2022-09-18 00:29:04,065 INFO [train.py:885] (1/2) Epoch 12, batch 5100, loss[loss=0.2779, simple_loss=0.3408, pruned_loss=0.1075, over 14207.00 frames. utt_duration=522.8 frames, utt_pad_proportion=0.04254, over 109.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3676, pruned_loss=0.1207, over 2781507.34 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07053, over 45665.25 utterances.], batch size: 109, lr: 3.87e-04
+2022-09-18 00:29:33,938 INFO [train.py:885] (1/2) Epoch 12, batch 5150, loss[loss=0.1747, simple_loss=0.2338, pruned_loss=0.05776, over 13087.00 frames. utt_duration=1587 frames, utt_pad_proportion=0.1225, over 33.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3659, pruned_loss=0.1202, over 2782764.59 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06941, over 44375.77 utterances.], batch size: 33, lr: 3.87e-04
+2022-09-18 00:30:03,693 INFO [train.py:885] (1/2) Epoch 12, batch 5200, loss[loss=0.3385, simple_loss=0.3931, pruned_loss=0.1419, over 14326.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03835, over 262.00 utterances.], tot_loss[loss=0.303, simple_loss=0.3654, pruned_loss=0.1203, over 2786557.77 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06757, over 44560.05 utterances.], batch size: 262, lr: 3.87e-04
+2022-09-18 00:30:33,363 INFO [train.py:885] (1/2) Epoch 12, batch 5250, loss[loss=0.212, simple_loss=0.2612, pruned_loss=0.08134, over 14042.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.05608, over 79.00 utterances.], tot_loss[loss=0.3026, simple_loss=0.3653, pruned_loss=0.12, over 2784401.42 frames. utt_duration=249.6 frames, utt_pad_proportion=0.0667, over 44887.93 utterances.], batch size: 79, lr: 3.87e-04
+2022-09-18 00:31:03,262 INFO [train.py:885] (1/2) Epoch 12, batch 5300, loss[loss=0.2767, simple_loss=0.3585, pruned_loss=0.0975, over 14277.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03981, over 180.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3634, pruned_loss=0.1182, over 2778985.19 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07087, over 45370.71 utterances.], batch size: 180, lr: 3.87e-04
+2022-09-18 00:31:32,460 INFO [train.py:885] (1/2) Epoch 12, batch 5350, loss[loss=0.296, simple_loss=0.3686, pruned_loss=0.1117, over 14328.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03829, over 283.00 utterances.], tot_loss[loss=0.3006, simple_loss=0.3641, pruned_loss=0.1186, over 2782915.46 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06869, over 45482.17 utterances.], batch size: 283, lr: 3.86e-04
+2022-09-18 00:32:01,862 INFO [train.py:885] (1/2) Epoch 12, batch 5400, loss[loss=0.1714, simple_loss=0.2357, pruned_loss=0.05355, over 13340.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08812, over 41.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3603, pruned_loss=0.1174, over 2783053.08 frames. utt_duration=259.8 frames, utt_pad_proportion=0.06724, over 43091.04 utterances.], batch size: 41, lr: 3.86e-04
+2022-09-18 00:32:32,204 INFO [train.py:885] (1/2) Epoch 12, batch 5450, loss[loss=0.1949, simple_loss=0.2565, pruned_loss=0.06667, over 13852.00 frames. utt_duration=925.1 frames, utt_pad_proportion=0.06744, over 60.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3636, pruned_loss=0.119, over 2781244.81 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07049, over 44821.29 utterances.], batch size: 60, lr: 3.86e-04
+2022-09-18 00:33:01,866 INFO [train.py:885] (1/2) Epoch 12, batch 5500, loss[loss=0.3785, simple_loss=0.417, pruned_loss=0.17, over 14271.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04038, over 180.00 utterances.], tot_loss[loss=0.302, simple_loss=0.3642, pruned_loss=0.1198, over 2782638.06 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06928, over 44873.74 utterances.], batch size: 180, lr: 3.86e-04
+2022-09-18 00:33:30,509 INFO [train.py:885] (1/2) Epoch 12, batch 5550, loss[loss=0.1976, simple_loss=0.2543, pruned_loss=0.07042, over 14008.00 frames. utt_duration=935.3 frames, utt_pad_proportion=0.06091, over 60.00 utterances.], tot_loss[loss=0.303, simple_loss=0.3654, pruned_loss=0.1203, over 2788612.26 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06702, over 44663.83 utterances.], batch size: 60, lr: 3.86e-04
+2022-09-18 00:34:01,279 INFO [train.py:885] (1/2) Epoch 12, batch 5600, loss[loss=0.2901, simple_loss=0.3346, pruned_loss=0.1228, over 12120.00 frames. utt_duration=2021 frames, utt_pad_proportion=0.1836, over 24.00 utterances.], tot_loss[loss=0.3045, simple_loss=0.3676, pruned_loss=0.1207, over 2782682.44 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07023, over 45814.05 utterances.], batch size: 24, lr: 3.86e-04
+2022-09-18 00:34:30,289 INFO [train.py:885] (1/2) Epoch 12, batch 5650, loss[loss=0.4063, simple_loss=0.4752, pruned_loss=0.1687, over 13619.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07794, over 560.00 utterances.], tot_loss[loss=0.3019, simple_loss=0.3656, pruned_loss=0.1191, over 2784628.11 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06946, over 44777.11 utterances.], batch size: 560, lr: 3.86e-04
+2022-09-18 00:35:00,086 INFO [train.py:885] (1/2) Epoch 12, batch 5700, loss[loss=0.1975, simple_loss=0.2601, pruned_loss=0.06749, over 13635.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.07342, over 50.00 utterances.], tot_loss[loss=0.3007, simple_loss=0.3638, pruned_loss=0.1188, over 2784119.69 frames. utt_duration=254.2 frames, utt_pad_proportion=0.0706, over 44059.65 utterances.], batch size: 50, lr: 3.86e-04
+2022-09-18 00:35:29,600 INFO [train.py:885] (1/2) Epoch 12, batch 5750, loss[loss=0.5701, simple_loss=0.6365, pruned_loss=0.2518, over 12453.00 frames. utt_duration=63.12 frames, utt_pad_proportion=0.147, over 810.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3661, pruned_loss=0.12, over 2781146.26 frames. utt_duration=246 frames, utt_pad_proportion=0.07243, over 45494.56 utterances.], batch size: 810, lr: 3.86e-04
+2022-09-18 00:35:59,526 INFO [train.py:885] (1/2) Epoch 12, batch 5800, loss[loss=0.3141, simple_loss=0.3802, pruned_loss=0.124, over 14323.00 frames. utt_duration=236.3 frames, utt_pad_proportion=0.03546, over 244.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3645, pruned_loss=0.1201, over 2784613.68 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06975, over 43966.74 utterances.], batch size: 244, lr: 3.86e-04
+2022-09-18 00:36:28,681 INFO [train.py:885] (1/2) Epoch 12, batch 5850, loss[loss=0.4178, simple_loss=0.468, pruned_loss=0.1838, over 13955.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05842, over 365.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3588, pruned_loss=0.1173, over 2786428.08 frames. utt_duration=270.7 frames, utt_pad_proportion=0.06642, over 41394.13 utterances.], batch size: 365, lr: 3.86e-04
+2022-09-18 00:36:58,328 INFO [train.py:885] (1/2) Epoch 12, batch 5900, loss[loss=0.2669, simple_loss=0.3283, pruned_loss=0.1028, over 14317.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03677, over 130.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3595, pruned_loss=0.1175, over 2786028.37 frames. utt_duration=266.1 frames, utt_pad_proportion=0.06708, over 42117.56 utterances.], batch size: 130, lr: 3.86e-04
+2022-09-18 00:37:28,520 INFO [train.py:885] (1/2) Epoch 12, batch 5950, loss[loss=0.3015, simple_loss=0.3607, pruned_loss=0.1212, over 14292.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03916, over 180.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.3645, pruned_loss=0.1195, over 2775991.26 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07352, over 44915.81 utterances.], batch size: 180, lr: 3.86e-04
+2022-09-18 00:37:58,583 INFO [train.py:885] (1/2) Epoch 12, batch 6000, loss[loss=0.4066, simple_loss=0.4309, pruned_loss=0.1911, over 14289.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.0396, over 154.00 utterances.], tot_loss[loss=0.3009, simple_loss=0.3635, pruned_loss=0.1192, over 2772892.64 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07418, over 44924.43 utterances.], batch size: 154, lr: 3.86e-04
+2022-09-18 00:37:58,584 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 00:38:03,330 INFO [train.py:914] (1/2) Epoch 12, validation: loss=0.2036, simple_loss=0.281, pruned_loss=0.06309, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 00:38:33,067 INFO [train.py:885] (1/2) Epoch 12, batch 6050, loss[loss=0.1985, simple_loss=0.2688, pruned_loss=0.06403, over 13948.00 frames. utt_duration=810.2 frames, utt_pad_proportion=0.05677, over 69.00 utterances.], tot_loss[loss=0.3006, simple_loss=0.3637, pruned_loss=0.1187, over 2773426.28 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07522, over 45902.31 utterances.], batch size: 69, lr: 3.86e-04
+2022-09-18 00:39:01,826 INFO [train.py:885] (1/2) Epoch 12, batch 6100, loss[loss=0.2483, simple_loss=0.3105, pruned_loss=0.0931, over 14091.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05337, over 98.00 utterances.], tot_loss[loss=0.3056, simple_loss=0.3683, pruned_loss=0.1215, over 2778704.36 frames. utt_duration=238.8 frames, utt_pad_proportion=0.0744, over 46841.89 utterances.], batch size: 98, lr: 3.85e-04
+2022-09-18 00:39:31,845 INFO [train.py:885] (1/2) Epoch 12, batch 6150, loss[loss=0.4993, simple_loss=0.5074, pruned_loss=0.2456, over 14212.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04368, over 306.00 utterances.], tot_loss[loss=0.3053, simple_loss=0.3677, pruned_loss=0.1215, over 2777324.88 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07485, over 46595.34 utterances.], batch size: 306, lr: 3.85e-04
+2022-09-18 00:40:01,190 INFO [train.py:885] (1/2) Epoch 12, batch 6200, loss[loss=0.2745, simple_loss=0.3434, pruned_loss=0.1028, over 14313.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03952, over 130.00 utterances.], tot_loss[loss=0.3071, simple_loss=0.3694, pruned_loss=0.1223, over 2780755.16 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07386, over 47271.30 utterances.], batch size: 130, lr: 3.85e-04
+2022-09-18 00:40:30,119 INFO [train.py:885] (1/2) Epoch 12, batch 6250, loss[loss=0.3089, simple_loss=0.3995, pruned_loss=0.1092, over 13843.00 frames. utt_duration=136.1 frames, utt_pad_proportion=0.06759, over 411.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3682, pruned_loss=0.1218, over 2783453.15 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07253, over 46425.73 utterances.], batch size: 411, lr: 3.85e-04
+2022-09-18 00:40:59,768 INFO [train.py:885] (1/2) Epoch 12, batch 6300, loss[loss=0.2586, simple_loss=0.3402, pruned_loss=0.08848, over 14289.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04036, over 120.00 utterances.], tot_loss[loss=0.3035, simple_loss=0.3663, pruned_loss=0.1203, over 2780607.00 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07443, over 46332.38 utterances.], batch size: 120, lr: 3.85e-04
+2022-09-18 00:41:29,046 INFO [train.py:885] (1/2) Epoch 12, batch 6350, loss[loss=0.2325, simple_loss=0.2841, pruned_loss=0.09051, over 13825.00 frames. utt_duration=922.9 frames, utt_pad_proportion=0.07243, over 60.00 utterances.], tot_loss[loss=0.307, simple_loss=0.3696, pruned_loss=0.1222, over 2782374.04 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07409, over 47017.62 utterances.], batch size: 60, lr: 3.85e-04
+2022-09-18 00:41:58,805 INFO [train.py:885] (1/2) Epoch 12, batch 6400, loss[loss=0.2651, simple_loss=0.3351, pruned_loss=0.09756, over 14313.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03726, over 120.00 utterances.], tot_loss[loss=0.3064, simple_loss=0.3684, pruned_loss=0.1222, over 2786148.63 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07118, over 45935.57 utterances.], batch size: 120, lr: 3.85e-04
+2022-09-18 00:42:27,989 INFO [train.py:885] (1/2) Epoch 12, batch 6450, loss[loss=0.2469, simple_loss=0.3165, pruned_loss=0.08862, over 14314.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.04083, over 120.00 utterances.], tot_loss[loss=0.3046, simple_loss=0.3671, pruned_loss=0.121, over 2785494.30 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07224, over 45889.54 utterances.], batch size: 120, lr: 3.85e-04
+2022-09-18 00:42:57,467 INFO [train.py:885] (1/2) Epoch 12, batch 6500, loss[loss=0.48, simple_loss=0.497, pruned_loss=0.2315, over 14210.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04509, over 335.00 utterances.], tot_loss[loss=0.3068, simple_loss=0.369, pruned_loss=0.1223, over 2785242.51 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07268, over 46820.76 utterances.], batch size: 335, lr: 3.85e-04
+2022-09-18 00:43:27,126 INFO [train.py:885] (1/2) Epoch 12, batch 6550, loss[loss=0.3287, simple_loss=0.4316, pruned_loss=0.1129, over 13624.00 frames. utt_duration=98.48 frames, utt_pad_proportion=0.07958, over 561.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3657, pruned_loss=0.12, over 2779353.39 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07352, over 46558.06 utterances.], batch size: 561, lr: 3.85e-04
+2022-09-18 00:43:57,090 INFO [train.py:885] (1/2) Epoch 12, batch 6600, loss[loss=0.3282, simple_loss=0.3887, pruned_loss=0.1338, over 14400.00 frames. utt_duration=237.5 frames, utt_pad_proportion=0.0346, over 244.00 utterances.], tot_loss[loss=0.3034, simple_loss=0.3665, pruned_loss=0.1201, over 2776020.66 frames. utt_duration=238 frames, utt_pad_proportion=0.07455, over 46946.34 utterances.], batch size: 244, lr: 3.85e-04
+2022-09-18 00:44:26,437 INFO [train.py:885] (1/2) Epoch 12, batch 6650, loss[loss=0.2871, simple_loss=0.3706, pruned_loss=0.1019, over 13991.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05638, over 365.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3663, pruned_loss=0.1198, over 2778585.56 frames. utt_duration=237.6 frames, utt_pad_proportion=0.0755, over 47066.90 utterances.], batch size: 365, lr: 3.85e-04
+2022-09-18 00:44:56,063 INFO [train.py:885] (1/2) Epoch 12, batch 6700, loss[loss=0.2125, simple_loss=0.2555, pruned_loss=0.08469, over 13549.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08695, over 50.00 utterances.], tot_loss[loss=0.3048, simple_loss=0.3682, pruned_loss=0.1207, over 2777880.80 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07391, over 47771.67 utterances.], batch size: 50, lr: 3.85e-04
+2022-09-18 00:45:25,559 INFO [train.py:885] (1/2) Epoch 12, batch 6750, loss[loss=0.2111, simple_loss=0.275, pruned_loss=0.07358, over 14113.00 frames. utt_duration=577.6 frames, utt_pad_proportion=0.0532, over 98.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3656, pruned_loss=0.1186, over 2777108.29 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07225, over 47068.56 utterances.], batch size: 98, lr: 3.85e-04
+2022-09-18 00:45:54,832 INFO [train.py:885] (1/2) Epoch 12, batch 6800, loss[loss=0.2378, simple_loss=0.3046, pruned_loss=0.08553, over 14057.00 frames. utt_duration=804.8 frames, utt_pad_proportion=0.06089, over 70.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3659, pruned_loss=0.1184, over 2776491.23 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07405, over 47298.66 utterances.], batch size: 70, lr: 3.85e-04
+2022-09-18 00:46:24,421 INFO [train.py:885] (1/2) Epoch 12, batch 6850, loss[loss=0.3346, simple_loss=0.4201, pruned_loss=0.1246, over 13648.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08005, over 477.00 utterances.], tot_loss[loss=0.3032, simple_loss=0.3666, pruned_loss=0.1198, over 2775826.70 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07313, over 47156.91 utterances.], batch size: 477, lr: 3.84e-04
+2022-09-18 00:46:53,542 INFO [train.py:885] (1/2) Epoch 12, batch 6900, loss[loss=0.2495, simple_loss=0.3266, pruned_loss=0.08623, over 14274.00 frames. utt_duration=477.3 frames, utt_pad_proportion=0.04158, over 120.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.3649, pruned_loss=0.1192, over 2776746.16 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07208, over 45905.30 utterances.], batch size: 120, lr: 3.84e-04
+2022-09-18 00:47:23,394 INFO [train.py:885] (1/2) Epoch 12, batch 6950, loss[loss=0.2844, simple_loss=0.3586, pruned_loss=0.1051, over 14347.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03763, over 244.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.3627, pruned_loss=0.1181, over 2781317.34 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07009, over 45146.60 utterances.], batch size: 244, lr: 3.84e-04
+2022-09-18 00:47:52,657 INFO [train.py:885] (1/2) Epoch 12, batch 7000, loss[loss=0.3356, simple_loss=0.3938, pruned_loss=0.1387, over 14348.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03625, over 195.00 utterances.], tot_loss[loss=0.2996, simple_loss=0.3623, pruned_loss=0.1184, over 2778511.78 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07265, over 45209.02 utterances.], batch size: 195, lr: 3.84e-04
+2022-09-18 00:48:23,026 INFO [train.py:885] (1/2) Epoch 12, batch 7050, loss[loss=0.2484, simple_loss=0.3057, pruned_loss=0.09557, over 13605.00 frames. utt_duration=908.4 frames, utt_pad_proportion=0.08797, over 60.00 utterances.], tot_loss[loss=0.2996, simple_loss=0.3627, pruned_loss=0.1182, over 2776474.48 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07326, over 45759.17 utterances.], batch size: 60, lr: 3.84e-04
+2022-09-18 00:48:52,461 INFO [train.py:885] (1/2) Epoch 12, batch 7100, loss[loss=0.3081, simple_loss=0.383, pruned_loss=0.1166, over 13943.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05925, over 365.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3614, pruned_loss=0.1183, over 2778648.48 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07122, over 44850.70 utterances.], batch size: 365, lr: 3.84e-04
+2022-09-18 00:49:21,921 INFO [train.py:885] (1/2) Epoch 12, batch 7150, loss[loss=0.3798, simple_loss=0.4746, pruned_loss=0.1425, over 13150.00 frames. utt_duration=82.15 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3619, pruned_loss=0.1182, over 2783994.01 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06944, over 44921.13 utterances.], batch size: 653, lr: 3.84e-04
+2022-09-18 00:49:51,944 INFO [train.py:885] (1/2) Epoch 12, batch 7200, loss[loss=0.3372, simple_loss=0.3949, pruned_loss=0.1398, over 14284.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.04065, over 283.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.3649, pruned_loss=0.1191, over 2783989.40 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07057, over 45799.35 utterances.], batch size: 283, lr: 3.84e-04
+2022-09-18 00:50:20,933 INFO [train.py:885] (1/2) Epoch 12, batch 7250, loss[loss=0.3199, simple_loss=0.3836, pruned_loss=0.1282, over 14328.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03795, over 195.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.3646, pruned_loss=0.1194, over 2784894.74 frames. utt_duration=247.8 frames, utt_pad_proportion=0.0706, over 45229.84 utterances.], batch size: 195, lr: 3.84e-04
+2022-09-18 00:50:50,924 INFO [train.py:885] (1/2) Epoch 12, batch 7300, loss[loss=0.3869, simple_loss=0.476, pruned_loss=0.1489, over 13158.00 frames. utt_duration=82.14 frames, utt_pad_proportion=0.1072, over 653.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3638, pruned_loss=0.1193, over 2781919.15 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07081, over 44928.88 utterances.], batch size: 653, lr: 3.84e-04
+2022-09-18 00:51:20,147 INFO [train.py:885] (1/2) Epoch 12, batch 7350, loss[loss=0.2055, simple_loss=0.2692, pruned_loss=0.07088, over 14081.00 frames. utt_duration=714.4 frames, utt_pad_proportion=0.05502, over 79.00 utterances.], tot_loss[loss=0.3027, simple_loss=0.366, pruned_loss=0.1197, over 2780320.04 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07265, over 46701.19 utterances.], batch size: 79, lr: 3.84e-04
+2022-09-18 00:51:49,715 INFO [train.py:885] (1/2) Epoch 12, batch 7400, loss[loss=0.196, simple_loss=0.2452, pruned_loss=0.07343, over 13592.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08189, over 50.00 utterances.], tot_loss[loss=0.3021, simple_loss=0.365, pruned_loss=0.1196, over 2784742.93 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06977, over 45204.97 utterances.], batch size: 50, lr: 3.84e-04
+2022-09-18 00:52:19,243 INFO [train.py:885] (1/2) Epoch 12, batch 7450, loss[loss=0.2219, simple_loss=0.3039, pruned_loss=0.06998, over 14207.00 frames. utt_duration=522.8 frames, utt_pad_proportion=0.04258, over 109.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3623, pruned_loss=0.1188, over 2780082.82 frames. utt_duration=255.7 frames, utt_pad_proportion=0.07094, over 43741.93 utterances.], batch size: 109, lr: 3.84e-04
+2022-09-18 00:52:49,137 INFO [train.py:885] (1/2) Epoch 12, batch 7500, loss[loss=0.3657, simple_loss=0.4181, pruned_loss=0.1567, over 14210.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04365, over 306.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3622, pruned_loss=0.118, over 2778900.61 frames. utt_duration=252.8 frames, utt_pad_proportion=0.0715, over 44229.85 utterances.], batch size: 306, lr: 3.84e-04
+2022-09-18 00:53:18,274 INFO [train.py:885] (1/2) Epoch 12, batch 7550, loss[loss=0.18, simple_loss=0.2441, pruned_loss=0.05793, over 13369.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.08831, over 41.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3618, pruned_loss=0.1176, over 2779804.77 frames. utt_duration=254.1 frames, utt_pad_proportion=0.07023, over 44009.47 utterances.], batch size: 41, lr: 3.84e-04
+2022-09-18 00:53:47,810 INFO [train.py:885] (1/2) Epoch 12, batch 7600, loss[loss=0.3547, simple_loss=0.3826, pruned_loss=0.1634, over 14235.00 frames. utt_duration=523.9 frames, utt_pad_proportion=0.04051, over 109.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.3678, pruned_loss=0.1218, over 2784221.97 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07125, over 45141.57 utterances.], batch size: 109, lr: 3.84e-04
+2022-09-18 00:54:17,819 INFO [train.py:885] (1/2) Epoch 12, batch 7650, loss[loss=0.2744, simple_loss=0.3442, pruned_loss=0.1023, over 14331.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03988, over 167.00 utterances.], tot_loss[loss=0.3063, simple_loss=0.3684, pruned_loss=0.122, over 2785285.09 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07123, over 45672.32 utterances.], batch size: 167, lr: 3.83e-04
+2022-09-18 00:54:47,993 INFO [train.py:885] (1/2) Epoch 12, batch 7700, loss[loss=0.2799, simple_loss=0.3641, pruned_loss=0.09782, over 14356.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03299, over 244.00 utterances.], tot_loss[loss=0.3021, simple_loss=0.3649, pruned_loss=0.1196, over 2781475.93 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07187, over 45059.74 utterances.], batch size: 244, lr: 3.83e-04
+2022-09-18 00:55:16,940 INFO [train.py:885] (1/2) Epoch 12, batch 7750, loss[loss=0.3219, simple_loss=0.3716, pruned_loss=0.1361, over 14292.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03921, over 180.00 utterances.], tot_loss[loss=0.3047, simple_loss=0.3676, pruned_loss=0.121, over 2780985.30 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07163, over 46160.49 utterances.], batch size: 180, lr: 3.83e-04
+2022-09-18 00:55:46,489 INFO [train.py:885] (1/2) Epoch 12, batch 7800, loss[loss=0.3601, simple_loss=0.4099, pruned_loss=0.1551, over 14250.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04142, over 306.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3654, pruned_loss=0.1197, over 2782882.95 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06951, over 45220.60 utterances.], batch size: 306, lr: 3.83e-04
+2022-09-18 00:56:15,718 INFO [train.py:885] (1/2) Epoch 12, batch 7850, loss[loss=0.5991, simple_loss=0.6628, pruned_loss=0.2677, over 12511.00 frames. utt_duration=63.28 frames, utt_pad_proportion=0.1448, over 811.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3655, pruned_loss=0.1203, over 2785236.72 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06972, over 45125.90 utterances.], batch size: 811, lr: 3.83e-04
+2022-09-18 00:56:45,173 INFO [train.py:885] (1/2) Epoch 12, batch 7900, loss[loss=0.3961, simple_loss=0.4441, pruned_loss=0.174, over 14213.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04387, over 306.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3616, pruned_loss=0.1184, over 2786824.34 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06888, over 43823.64 utterances.], batch size: 306, lr: 3.83e-04
+2022-09-18 00:57:14,827 INFO [train.py:885] (1/2) Epoch 12, batch 7950, loss[loss=0.4275, simple_loss=0.5088, pruned_loss=0.1731, over 13173.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1068, over 653.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3619, pruned_loss=0.1181, over 2781926.87 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07289, over 44827.69 utterances.], batch size: 653, lr: 3.83e-04
+2022-09-18 00:57:45,059 INFO [train.py:885] (1/2) Epoch 12, batch 8000, loss[loss=0.3676, simple_loss=0.4256, pruned_loss=0.1548, over 14319.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03808, over 210.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.361, pruned_loss=0.1176, over 2785756.92 frames. utt_duration=253.5 frames, utt_pad_proportion=0.07067, over 44212.60 utterances.], batch size: 210, lr: 3.83e-04
+2022-09-18 00:58:14,555 INFO [train.py:885] (1/2) Epoch 12, batch 8050, loss[loss=0.2004, simple_loss=0.2574, pruned_loss=0.0717, over 13627.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08128, over 50.00 utterances.], tot_loss[loss=0.2982, simple_loss=0.3609, pruned_loss=0.1177, over 2781930.97 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07162, over 44338.28 utterances.], batch size: 50, lr: 3.83e-04
+2022-09-18 00:58:44,358 INFO [train.py:885] (1/2) Epoch 12, batch 8100, loss[loss=0.3438, simple_loss=0.4397, pruned_loss=0.1239, over 13624.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07794, over 560.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3606, pruned_loss=0.1178, over 2783243.58 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07091, over 44001.69 utterances.], batch size: 560, lr: 3.83e-04
+2022-09-18 00:59:14,092 INFO [train.py:885] (1/2) Epoch 12, batch 8150, loss[loss=0.3357, simple_loss=0.3936, pruned_loss=0.1389, over 14357.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03841, over 167.00 utterances.], tot_loss[loss=0.3033, simple_loss=0.3661, pruned_loss=0.1202, over 2781418.65 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07141, over 46464.52 utterances.], batch size: 167, lr: 3.83e-04
+2022-09-18 00:59:43,349 INFO [train.py:885] (1/2) Epoch 12, batch 8200, loss[loss=0.3231, simple_loss=0.4018, pruned_loss=0.1222, over 13771.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07218, over 411.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3641, pruned_loss=0.118, over 2776707.06 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07384, over 46435.59 utterances.], batch size: 411, lr: 3.83e-04
+2022-09-18 01:00:12,810 INFO [train.py:885] (1/2) Epoch 12, batch 8250, loss[loss=0.2544, simple_loss=0.3218, pruned_loss=0.09354, over 14079.00 frames. utt_duration=576 frames, utt_pad_proportion=0.0557, over 98.00 utterances.], tot_loss[loss=0.304, simple_loss=0.3669, pruned_loss=0.1206, over 2783168.95 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07092, over 46438.40 utterances.], batch size: 98, lr: 3.83e-04
+2022-09-18 01:00:42,111 INFO [train.py:885] (1/2) Epoch 12, batch 8300, loss[loss=0.3468, simple_loss=0.4282, pruned_loss=0.1327, over 13815.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06878, over 411.00 utterances.], tot_loss[loss=0.3003, simple_loss=0.3637, pruned_loss=0.1185, over 2781979.18 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07128, over 45430.31 utterances.], batch size: 411, lr: 3.83e-04
+2022-09-18 01:01:11,445 INFO [train.py:885] (1/2) Epoch 12, batch 8350, loss[loss=0.2255, simple_loss=0.2923, pruned_loss=0.07939, over 14117.00 frames. utt_duration=635.9 frames, utt_pad_proportion=0.05231, over 89.00 utterances.], tot_loss[loss=0.3046, simple_loss=0.3683, pruned_loss=0.1205, over 2784110.88 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07175, over 47321.29 utterances.], batch size: 89, lr: 3.83e-04
+2022-09-18 01:01:40,637 INFO [train.py:885] (1/2) Epoch 12, batch 8400, loss[loss=0.3432, simple_loss=0.426, pruned_loss=0.1302, over 13580.00 frames. utt_duration=115.3 frames, utt_pad_proportion=0.08466, over 477.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3674, pruned_loss=0.1201, over 2788450.35 frames. utt_duration=241.6 frames, utt_pad_proportion=0.06971, over 46455.36 utterances.], batch size: 477, lr: 3.82e-04
+2022-09-18 01:02:10,321 INFO [train.py:885] (1/2) Epoch 12, batch 8450, loss[loss=0.2415, simple_loss=0.3061, pruned_loss=0.08847, over 14300.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03834, over 130.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3664, pruned_loss=0.1197, over 2788382.65 frames. utt_duration=243.5 frames, utt_pad_proportion=0.06827, over 46088.01 utterances.], batch size: 130, lr: 3.82e-04
+2022-09-18 01:02:39,502 INFO [train.py:885] (1/2) Epoch 12, batch 8500, loss[loss=0.2111, simple_loss=0.2915, pruned_loss=0.0653, over 14025.00 frames. utt_duration=711.6 frames, utt_pad_proportion=0.05626, over 79.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3618, pruned_loss=0.1175, over 2787924.02 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06873, over 44442.09 utterances.], batch size: 79, lr: 3.82e-04
+2022-09-18 01:03:09,375 INFO [train.py:885] (1/2) Epoch 12, batch 8550, loss[loss=0.2089, simple_loss=0.2627, pruned_loss=0.07754, over 13240.00 frames. utt_duration=1607 frames, utt_pad_proportion=0.1109, over 33.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3615, pruned_loss=0.1176, over 2787633.68 frames. utt_duration=254 frames, utt_pad_proportion=0.06717, over 44161.38 utterances.], batch size: 33, lr: 3.82e-04
+2022-09-18 01:03:39,083 INFO [train.py:885] (1/2) Epoch 12, batch 8600, loss[loss=0.1775, simple_loss=0.2387, pruned_loss=0.05818, over 13538.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08977, over 50.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3625, pruned_loss=0.1183, over 2788367.05 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06745, over 44505.73 utterances.], batch size: 50, lr: 3.82e-04
+2022-09-18 01:04:08,459 INFO [train.py:885] (1/2) Epoch 12, batch 8650, loss[loss=0.1741, simple_loss=0.2417, pruned_loss=0.05323, over 12550.00 frames. utt_duration=2009 frames, utt_pad_proportion=0.1405, over 25.00 utterances.], tot_loss[loss=0.3006, simple_loss=0.364, pruned_loss=0.1186, over 2788438.73 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06873, over 45259.19 utterances.], batch size: 25, lr: 3.82e-04
+2022-09-18 01:04:38,011 INFO [train.py:885] (1/2) Epoch 12, batch 8700, loss[loss=0.1797, simple_loss=0.2418, pruned_loss=0.05883, over 13416.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.08573, over 41.00 utterances.], tot_loss[loss=0.301, simple_loss=0.3644, pruned_loss=0.1188, over 2784497.13 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07036, over 45633.20 utterances.], batch size: 41, lr: 3.82e-04
+2022-09-18 01:05:07,768 INFO [train.py:885] (1/2) Epoch 12, batch 8750, loss[loss=0.248, simple_loss=0.3224, pruned_loss=0.08675, over 14294.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04018, over 120.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.365, pruned_loss=0.1187, over 2785727.18 frames. utt_duration=242.3 frames, utt_pad_proportion=0.06875, over 46267.01 utterances.], batch size: 120, lr: 3.82e-04
+2022-09-18 01:05:36,950 INFO [train.py:885] (1/2) Epoch 12, batch 8800, loss[loss=0.5701, simple_loss=0.6305, pruned_loss=0.2548, over 12529.00 frames. utt_duration=63.41 frames, utt_pad_proportion=0.1431, over 810.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3607, pruned_loss=0.1164, over 2786458.86 frames. utt_duration=252.8 frames, utt_pad_proportion=0.0682, over 44347.72 utterances.], batch size: 810, lr: 3.82e-04
+2022-09-18 01:06:06,243 INFO [train.py:885] (1/2) Epoch 12, batch 8850, loss[loss=0.3363, simple_loss=0.4266, pruned_loss=0.123, over 13671.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07254, over 478.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3607, pruned_loss=0.1159, over 2785466.10 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06756, over 44870.01 utterances.], batch size: 478, lr: 3.82e-04
+2022-09-18 01:06:35,920 INFO [train.py:885] (1/2) Epoch 12, batch 8900, loss[loss=0.2994, simple_loss=0.3458, pruned_loss=0.1265, over 14346.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03879, over 120.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3649, pruned_loss=0.1186, over 2787447.48 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06846, over 45717.58 utterances.], batch size: 120, lr: 3.82e-04
+2022-09-18 01:07:05,884 INFO [train.py:885] (1/2) Epoch 12, batch 8950, loss[loss=0.2403, simple_loss=0.3119, pruned_loss=0.08433, over 14286.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.04354, over 141.00 utterances.], tot_loss[loss=0.3021, simple_loss=0.3664, pruned_loss=0.1189, over 2788248.62 frames. utt_duration=243.1 frames, utt_pad_proportion=0.06887, over 46154.37 utterances.], batch size: 141, lr: 3.82e-04
+2022-09-18 01:07:35,949 INFO [train.py:885] (1/2) Epoch 12, batch 9000, loss[loss=0.2124, simple_loss=0.2889, pruned_loss=0.06796, over 14147.00 frames. utt_duration=578.9 frames, utt_pad_proportion=0.05092, over 98.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3658, pruned_loss=0.1182, over 2793512.16 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06717, over 45433.08 utterances.], batch size: 98, lr: 3.82e-04
+2022-09-18 01:07:35,950 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 01:07:40,627 INFO [train.py:914] (1/2) Epoch 12, validation: loss=0.207, simple_loss=0.2853, pruned_loss=0.0644, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 01:08:09,834 INFO [train.py:885] (1/2) Epoch 12, batch 9050, loss[loss=0.3286, simple_loss=0.3976, pruned_loss=0.1298, over 14344.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03626, over 210.00 utterances.], tot_loss[loss=0.2982, simple_loss=0.3627, pruned_loss=0.1169, over 2789938.72 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06601, over 44447.97 utterances.], batch size: 210, lr: 3.82e-04
+2022-09-18 01:08:40,063 INFO [train.py:885] (1/2) Epoch 12, batch 9100, loss[loss=0.1888, simple_loss=0.2347, pruned_loss=0.07148, over 13742.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.07202, over 42.00 utterances.], tot_loss[loss=0.2971, simple_loss=0.361, pruned_loss=0.1166, over 2784604.04 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06586, over 43949.58 utterances.], batch size: 42, lr: 3.82e-04
+2022-09-18 01:09:09,231 INFO [train.py:885] (1/2) Epoch 12, batch 9150, loss[loss=0.3231, simple_loss=0.4065, pruned_loss=0.1199, over 13819.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06866, over 411.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3615, pruned_loss=0.1166, over 2782583.00 frames. utt_duration=250 frames, utt_pad_proportion=0.06921, over 44778.69 utterances.], batch size: 411, lr: 3.82e-04
+2022-09-18 01:09:39,551 INFO [train.py:885] (1/2) Epoch 12, batch 9200, loss[loss=0.4382, simple_loss=0.5036, pruned_loss=0.1863, over 13646.00 frames. utt_duration=98.81 frames, utt_pad_proportion=0.07655, over 560.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.3634, pruned_loss=0.1171, over 2779167.48 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07149, over 45857.92 utterances.], batch size: 560, lr: 3.81e-04
+2022-09-18 01:10:09,429 INFO [train.py:885] (1/2) Epoch 12, batch 9250, loss[loss=0.3087, simple_loss=0.3706, pruned_loss=0.1234, over 14206.00 frames. utt_duration=404.4 frames, utt_pad_proportion=0.04613, over 141.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3632, pruned_loss=0.1168, over 2779534.89 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07165, over 46134.90 utterances.], batch size: 141, lr: 3.81e-04
+2022-09-18 01:10:39,074 INFO [train.py:885] (1/2) Epoch 12, batch 9300, loss[loss=0.247, simple_loss=0.3231, pruned_loss=0.08547, over 14156.00 frames. utt_duration=579.1 frames, utt_pad_proportion=0.04908, over 98.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.361, pruned_loss=0.1161, over 2780167.49 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07156, over 44673.03 utterances.], batch size: 98, lr: 3.81e-04
+2022-09-18 01:11:07,905 INFO [train.py:885] (1/2) Epoch 12, batch 9350, loss[loss=0.2289, simple_loss=0.2946, pruned_loss=0.08163, over 14117.00 frames. utt_duration=808.1 frames, utt_pad_proportion=0.05709, over 70.00 utterances.], tot_loss[loss=0.2972, simple_loss=0.3614, pruned_loss=0.1165, over 2780502.78 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07051, over 45069.53 utterances.], batch size: 70, lr: 3.81e-04
+2022-09-18 01:11:38,205 INFO [train.py:885] (1/2) Epoch 12, batch 9400, loss[loss=0.3071, simple_loss=0.3677, pruned_loss=0.1232, over 14332.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03788, over 120.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.3615, pruned_loss=0.1176, over 2782288.72 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06969, over 44308.36 utterances.], batch size: 120, lr: 3.81e-04
+2022-09-18 01:12:07,923 INFO [train.py:885] (1/2) Epoch 12, batch 9450, loss[loss=0.1477, simple_loss=0.2124, pruned_loss=0.04156, over 12033.00 frames. utt_duration=2007 frames, utt_pad_proportion=0.1771, over 24.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.3613, pruned_loss=0.1171, over 2784018.10 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06844, over 44404.78 utterances.], batch size: 24, lr: 3.81e-04
+2022-09-18 01:12:37,330 INFO [train.py:885] (1/2) Epoch 12, batch 9500, loss[loss=0.1526, simple_loss=0.2231, pruned_loss=0.04104, over 13832.00 frames. utt_duration=1319 frames, utt_pad_proportion=0.0752, over 42.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3618, pruned_loss=0.1167, over 2784297.82 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07023, over 45122.39 utterances.], batch size: 42, lr: 3.81e-04
+2022-09-18 01:13:06,877 INFO [train.py:885] (1/2) Epoch 12, batch 9550, loss[loss=0.3918, simple_loss=0.4356, pruned_loss=0.174, over 14223.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04441, over 335.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3662, pruned_loss=0.1198, over 2784964.57 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07159, over 46111.02 utterances.], batch size: 335, lr: 3.81e-04
+2022-09-18 01:13:36,603 INFO [train.py:885] (1/2) Epoch 12, batch 9600, loss[loss=0.3686, simple_loss=0.4477, pruned_loss=0.1448, over 13608.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08231, over 477.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.365, pruned_loss=0.119, over 2775580.89 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07299, over 46680.15 utterances.], batch size: 477, lr: 3.81e-04
+2022-09-18 01:14:14,424 INFO [train.py:885] (1/2) Epoch 12, batch 9650, loss[loss=0.3386, simple_loss=0.4314, pruned_loss=0.1229, over 13617.00 frames. utt_duration=98.74 frames, utt_pad_proportion=0.07717, over 560.00 utterances.], tot_loss[loss=0.3033, simple_loss=0.3669, pruned_loss=0.1198, over 2775037.82 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07311, over 47370.36 utterances.], batch size: 560, lr: 3.81e-04
+2022-09-18 01:14:44,323 INFO [train.py:885] (1/2) Epoch 12, batch 9700, loss[loss=0.441, simple_loss=0.4633, pruned_loss=0.2094, over 14334.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.038, over 262.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.3694, pruned_loss=0.1211, over 2770993.86 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07405, over 47951.30 utterances.], batch size: 262, lr: 3.81e-04
+2022-09-18 01:15:13,484 INFO [train.py:885] (1/2) Epoch 12, batch 9750, loss[loss=0.3059, simple_loss=0.3701, pruned_loss=0.1209, over 14403.00 frames. utt_duration=346.4 frames, utt_pad_proportion=0.03519, over 167.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3659, pruned_loss=0.1194, over 2776602.03 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07153, over 46333.97 utterances.], batch size: 167, lr: 3.81e-04
+2022-09-18 01:15:42,780 INFO [train.py:885] (1/2) Epoch 12, batch 9800, loss[loss=0.4192, simple_loss=0.4769, pruned_loss=0.1808, over 13827.00 frames. utt_duration=136.1 frames, utt_pad_proportion=0.06783, over 411.00 utterances.], tot_loss[loss=0.3033, simple_loss=0.3667, pruned_loss=0.12, over 2778397.13 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07037, over 46407.71 utterances.], batch size: 411, lr: 3.81e-04
+2022-09-18 01:16:11,805 INFO [train.py:885] (1/2) Epoch 12, batch 9850, loss[loss=0.1776, simple_loss=0.2401, pruned_loss=0.05759, over 13357.00 frames. utt_duration=1274 frames, utt_pad_proportion=0.08775, over 42.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.3669, pruned_loss=0.1203, over 2782202.18 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07032, over 45961.90 utterances.], batch size: 42, lr: 3.81e-04
+2022-09-18 01:16:41,125 INFO [train.py:885] (1/2) Epoch 12, batch 9900, loss[loss=0.299, simple_loss=0.3672, pruned_loss=0.1155, over 14323.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03763, over 210.00 utterances.], tot_loss[loss=0.3003, simple_loss=0.3644, pruned_loss=0.1181, over 2777857.12 frames. utt_duration=241 frames, utt_pad_proportion=0.07212, over 46388.75 utterances.], batch size: 210, lr: 3.81e-04
+2022-09-18 01:17:10,903 INFO [train.py:885] (1/2) Epoch 12, batch 9950, loss[loss=0.2968, simple_loss=0.363, pruned_loss=0.1153, over 14308.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04102, over 167.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3635, pruned_loss=0.1182, over 2774346.55 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07194, over 46267.90 utterances.], batch size: 167, lr: 3.80e-04
+2022-09-18 01:17:40,868 INFO [train.py:885] (1/2) Epoch 12, batch 10000, loss[loss=0.295, simple_loss=0.3661, pruned_loss=0.1119, over 14370.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03252, over 244.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3647, pruned_loss=0.1188, over 2776579.74 frames. utt_duration=242 frames, utt_pad_proportion=0.07093, over 46177.18 utterances.], batch size: 244, lr: 3.80e-04
+2022-09-18 01:18:09,721 INFO [train.py:885] (1/2) Epoch 12, batch 10050, loss[loss=0.1956, simple_loss=0.2745, pruned_loss=0.05834, over 13537.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08244, over 50.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3663, pruned_loss=0.1198, over 2777731.60 frames. utt_duration=240.9 frames, utt_pad_proportion=0.0693, over 46414.35 utterances.], batch size: 50, lr: 3.80e-04
+2022-09-18 01:18:39,824 INFO [train.py:885] (1/2) Epoch 12, batch 10100, loss[loss=0.3198, simple_loss=0.416, pruned_loss=0.1118, over 13630.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08073, over 477.00 utterances.], tot_loss[loss=0.3026, simple_loss=0.366, pruned_loss=0.1196, over 2778191.27 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07045, over 46668.82 utterances.], batch size: 477, lr: 3.80e-04
+2022-09-18 01:19:09,541 INFO [train.py:885] (1/2) Epoch 12, batch 10150, loss[loss=0.3017, simple_loss=0.3668, pruned_loss=0.1182, over 14274.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0405, over 225.00 utterances.], tot_loss[loss=0.306, simple_loss=0.3691, pruned_loss=0.1214, over 2781747.97 frames. utt_duration=235.8 frames, utt_pad_proportion=0.0711, over 47485.39 utterances.], batch size: 225, lr: 3.80e-04
+2022-09-18 01:19:39,823 INFO [train.py:885] (1/2) Epoch 12, batch 10200, loss[loss=0.3266, simple_loss=0.3851, pruned_loss=0.134, over 14306.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03812, over 180.00 utterances.], tot_loss[loss=0.3086, simple_loss=0.3714, pruned_loss=0.1229, over 2781215.44 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07108, over 48028.03 utterances.], batch size: 180, lr: 3.80e-04
+2022-09-18 01:20:08,840 INFO [train.py:885] (1/2) Epoch 12, batch 10250, loss[loss=0.403, simple_loss=0.4544, pruned_loss=0.1758, over 14006.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05608, over 365.00 utterances.], tot_loss[loss=0.308, simple_loss=0.3707, pruned_loss=0.1226, over 2782089.73 frames. utt_duration=235.9 frames, utt_pad_proportion=0.0714, over 47471.22 utterances.], batch size: 365, lr: 3.80e-04
+2022-09-18 01:20:38,274 INFO [train.py:885] (1/2) Epoch 12, batch 10300, loss[loss=0.1684, simple_loss=0.2179, pruned_loss=0.05942, over 13711.00 frames. utt_duration=1098 frames, utt_pad_proportion=0.07767, over 50.00 utterances.], tot_loss[loss=0.3035, simple_loss=0.3659, pruned_loss=0.1206, over 2780575.46 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07135, over 45552.76 utterances.], batch size: 50, lr: 3.80e-04
+2022-09-18 01:21:08,528 INFO [train.py:885] (1/2) Epoch 12, batch 10350, loss[loss=0.185, simple_loss=0.245, pruned_loss=0.06254, over 13859.00 frames. utt_duration=804.8 frames, utt_pad_proportion=0.06308, over 69.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3646, pruned_loss=0.1189, over 2777211.74 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07253, over 45718.57 utterances.], batch size: 69, lr: 3.80e-04
+2022-09-18 01:21:37,230 INFO [train.py:885] (1/2) Epoch 12, batch 10400, loss[loss=0.2058, simple_loss=0.2635, pruned_loss=0.07406, over 13801.00 frames. utt_duration=921.5 frames, utt_pad_proportion=0.07382, over 60.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3614, pruned_loss=0.1174, over 2773678.48 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07227, over 44595.19 utterances.], batch size: 60, lr: 3.80e-04
+2022-09-18 01:22:07,579 INFO [train.py:885] (1/2) Epoch 12, batch 10450, loss[loss=0.396, simple_loss=0.4364, pruned_loss=0.1778, over 14264.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04129, over 335.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3656, pruned_loss=0.1201, over 2773742.74 frames. utt_duration=243.3 frames, utt_pad_proportion=0.0735, over 45884.94 utterances.], batch size: 335, lr: 3.80e-04
+2022-09-18 01:22:38,874 INFO [train.py:885] (1/2) Epoch 12, batch 10500, loss[loss=0.4291, simple_loss=0.5063, pruned_loss=0.1759, over 13144.00 frames. utt_duration=82.02 frames, utt_pad_proportion=0.1085, over 653.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3621, pruned_loss=0.1178, over 2778558.53 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07224, over 44223.64 utterances.], batch size: 653, lr: 3.80e-04
+2022-09-18 01:23:08,757 INFO [train.py:885] (1/2) Epoch 12, batch 10550, loss[loss=0.2228, simple_loss=0.2935, pruned_loss=0.07604, over 14158.00 frames. utt_duration=521 frames, utt_pad_proportion=0.0457, over 109.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3641, pruned_loss=0.1187, over 2780628.76 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07211, over 45591.64 utterances.], batch size: 109, lr: 3.80e-04
+2022-09-18 01:23:38,446 INFO [train.py:885] (1/2) Epoch 12, batch 10600, loss[loss=0.2638, simple_loss=0.3422, pruned_loss=0.0927, over 14402.00 frames. utt_duration=346.2 frames, utt_pad_proportion=0.03569, over 167.00 utterances.], tot_loss[loss=0.3007, simple_loss=0.3645, pruned_loss=0.1185, over 2780825.22 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07188, over 46236.57 utterances.], batch size: 167, lr: 3.80e-04
+2022-09-18 01:24:08,014 INFO [train.py:885] (1/2) Epoch 12, batch 10650, loss[loss=0.3646, simple_loss=0.4175, pruned_loss=0.1559, over 14197.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0443, over 306.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3627, pruned_loss=0.1165, over 2778550.12 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07178, over 46248.36 utterances.], batch size: 306, lr: 3.80e-04
+2022-09-18 01:24:37,458 INFO [train.py:885] (1/2) Epoch 12, batch 10700, loss[loss=0.3509, simple_loss=0.4206, pruned_loss=0.1406, over 13988.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05645, over 365.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3626, pruned_loss=0.1163, over 2781301.59 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07088, over 45433.27 utterances.], batch size: 365, lr: 3.80e-04
+2022-09-18 01:25:16,265 INFO [train.py:885] (1/2) Epoch 12, batch 10750, loss[loss=0.3653, simple_loss=0.4109, pruned_loss=0.1599, over 14276.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04017, over 225.00 utterances.], tot_loss[loss=0.2985, simple_loss=0.3619, pruned_loss=0.1176, over 2779377.26 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07077, over 44522.15 utterances.], batch size: 225, lr: 3.79e-04
+2022-09-18 01:25:46,598 INFO [train.py:885] (1/2) Epoch 12, batch 10800, loss[loss=0.1993, simple_loss=0.2542, pruned_loss=0.07222, over 13232.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.09613, over 41.00 utterances.], tot_loss[loss=0.3026, simple_loss=0.3652, pruned_loss=0.12, over 2780064.11 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07015, over 45012.90 utterances.], batch size: 41, lr: 3.79e-04
+2022-09-18 01:26:15,582 INFO [train.py:885] (1/2) Epoch 12, batch 10850, loss[loss=0.3871, simple_loss=0.4489, pruned_loss=0.1626, over 14027.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05441, over 365.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.3613, pruned_loss=0.1177, over 2782190.13 frames. utt_duration=261.1 frames, utt_pad_proportion=0.06824, over 42869.84 utterances.], batch size: 365, lr: 3.79e-04
+2022-09-18 01:26:44,226 INFO [train.py:885] (1/2) Epoch 12, batch 10900, loss[loss=0.2372, simple_loss=0.3191, pruned_loss=0.07768, over 14271.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04414, over 141.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.3642, pruned_loss=0.1195, over 2779934.08 frames. utt_duration=255.9 frames, utt_pad_proportion=0.06942, over 43702.62 utterances.], batch size: 141, lr: 3.79e-04
+2022-09-18 01:27:14,985 INFO [train.py:885] (1/2) Epoch 12, batch 10950, loss[loss=0.4009, simple_loss=0.4512, pruned_loss=0.1753, over 14013.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05503, over 365.00 utterances.], tot_loss[loss=0.3025, simple_loss=0.3651, pruned_loss=0.1199, over 2780960.62 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07076, over 44738.15 utterances.], batch size: 365, lr: 3.79e-04
+2022-09-18 01:27:44,951 INFO [train.py:885] (1/2) Epoch 12, batch 11000, loss[loss=0.3728, simple_loss=0.4269, pruned_loss=0.1594, over 14338.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03503, over 244.00 utterances.], tot_loss[loss=0.3052, simple_loss=0.3676, pruned_loss=0.1214, over 2778297.60 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07224, over 46284.74 utterances.], batch size: 244, lr: 3.79e-04
+2022-09-18 01:28:13,913 INFO [train.py:885] (1/2) Epoch 12, batch 11050, loss[loss=0.3362, simple_loss=0.4203, pruned_loss=0.1261, over 13662.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07983, over 477.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3621, pruned_loss=0.118, over 2776645.36 frames. utt_duration=253.5 frames, utt_pad_proportion=0.0716, over 44065.00 utterances.], batch size: 477, lr: 3.79e-04
+2022-09-18 01:28:43,578 INFO [train.py:885] (1/2) Epoch 12, batch 11100, loss[loss=0.2911, simple_loss=0.357, pruned_loss=0.1126, over 14347.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03628, over 195.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3624, pruned_loss=0.1183, over 2781256.01 frames. utt_duration=255.8 frames, utt_pad_proportion=0.07064, over 43741.86 utterances.], batch size: 195, lr: 3.79e-04
+2022-09-18 01:29:13,049 INFO [train.py:885] (1/2) Epoch 12, batch 11150, loss[loss=0.2722, simple_loss=0.3497, pruned_loss=0.09729, over 14295.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03896, over 180.00 utterances.], tot_loss[loss=0.302, simple_loss=0.3655, pruned_loss=0.1192, over 2777499.08 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07359, over 45862.65 utterances.], batch size: 180, lr: 3.79e-04
+2022-09-18 01:29:43,143 INFO [train.py:885] (1/2) Epoch 12, batch 11200, loss[loss=0.2292, simple_loss=0.2939, pruned_loss=0.08219, over 14110.00 frames. utt_duration=577.4 frames, utt_pad_proportion=0.0535, over 98.00 utterances.], tot_loss[loss=0.3006, simple_loss=0.3637, pruned_loss=0.1188, over 2781053.94 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07136, over 44427.92 utterances.], batch size: 98, lr: 3.79e-04
+2022-09-18 01:30:11,912 INFO [train.py:885] (1/2) Epoch 12, batch 11250, loss[loss=0.2924, simple_loss=0.3704, pruned_loss=0.1072, over 14390.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.0351, over 244.00 utterances.], tot_loss[loss=0.2996, simple_loss=0.363, pruned_loss=0.1181, over 2781005.09 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07065, over 44365.27 utterances.], batch size: 244, lr: 3.79e-04
+2022-09-18 01:30:41,952 INFO [train.py:885] (1/2) Epoch 12, batch 11300, loss[loss=0.2059, simple_loss=0.2853, pruned_loss=0.06331, over 14151.00 frames. utt_duration=637.4 frames, utt_pad_proportion=0.05013, over 89.00 utterances.], tot_loss[loss=0.3025, simple_loss=0.366, pruned_loss=0.1195, over 2777566.43 frames. utt_duration=242.1 frames, utt_pad_proportion=0.0741, over 46169.86 utterances.], batch size: 89, lr: 3.79e-04
+2022-09-18 01:31:11,314 INFO [train.py:885] (1/2) Epoch 12, batch 11350, loss[loss=0.3078, simple_loss=0.4027, pruned_loss=0.1064, over 13842.00 frames. utt_duration=136.1 frames, utt_pad_proportion=0.06761, over 411.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3643, pruned_loss=0.1191, over 2778219.41 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07218, over 44834.21 utterances.], batch size: 411, lr: 3.79e-04
+2022-09-18 01:31:41,047 INFO [train.py:885] (1/2) Epoch 12, batch 11400, loss[loss=0.3206, simple_loss=0.4076, pruned_loss=0.1167, over 13612.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08283, over 477.00 utterances.], tot_loss[loss=0.3057, simple_loss=0.3677, pruned_loss=0.1219, over 2778111.91 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07334, over 45642.83 utterances.], batch size: 477, lr: 3.79e-04
+2022-09-18 01:32:10,299 INFO [train.py:885] (1/2) Epoch 12, batch 11450, loss[loss=0.2494, simple_loss=0.313, pruned_loss=0.09287, over 13634.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.0821, over 50.00 utterances.], tot_loss[loss=0.3034, simple_loss=0.3656, pruned_loss=0.1206, over 2779822.12 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07245, over 44751.85 utterances.], batch size: 50, lr: 3.79e-04
+2022-09-18 01:32:40,740 INFO [train.py:885] (1/2) Epoch 12, batch 11500, loss[loss=0.3238, simple_loss=0.3829, pruned_loss=0.1324, over 14391.00 frames. utt_duration=237.5 frames, utt_pad_proportion=0.03472, over 244.00 utterances.], tot_loss[loss=0.3054, simple_loss=0.3675, pruned_loss=0.1217, over 2781517.57 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07172, over 46088.67 utterances.], batch size: 244, lr: 3.79e-04
+2022-09-18 01:33:10,111 INFO [train.py:885] (1/2) Epoch 12, batch 11550, loss[loss=0.3345, simple_loss=0.4257, pruned_loss=0.1217, over 13594.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08354, over 477.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3659, pruned_loss=0.1201, over 2788282.40 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06897, over 45181.00 utterances.], batch size: 477, lr: 3.78e-04
+2022-09-18 01:33:39,753 INFO [train.py:885] (1/2) Epoch 12, batch 11600, loss[loss=0.3581, simple_loss=0.446, pruned_loss=0.1351, over 13606.00 frames. utt_duration=98.62 frames, utt_pad_proportion=0.07835, over 560.00 utterances.], tot_loss[loss=0.3027, simple_loss=0.3661, pruned_loss=0.1196, over 2784986.07 frames. utt_duration=246 frames, utt_pad_proportion=0.06941, over 45558.17 utterances.], batch size: 560, lr: 3.78e-04
+2022-09-18 01:34:08,974 INFO [train.py:885] (1/2) Epoch 12, batch 11650, loss[loss=0.366, simple_loss=0.3947, pruned_loss=0.1687, over 14150.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04646, over 109.00 utterances.], tot_loss[loss=0.3007, simple_loss=0.3643, pruned_loss=0.1185, over 2780483.93 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06979, over 44770.16 utterances.], batch size: 109, lr: 3.78e-04
+2022-09-18 01:34:38,040 INFO [train.py:885] (1/2) Epoch 12, batch 11700, loss[loss=0.5777, simple_loss=0.6364, pruned_loss=0.2595, over 12476.00 frames. utt_duration=63.16 frames, utt_pad_proportion=0.1464, over 810.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3608, pruned_loss=0.1166, over 2780131.09 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06977, over 44190.22 utterances.], batch size: 810, lr: 3.78e-04
+2022-09-18 01:35:07,763 INFO [train.py:885] (1/2) Epoch 12, batch 11750, loss[loss=0.2956, simple_loss=0.3629, pruned_loss=0.1142, over 14368.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03756, over 167.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3607, pruned_loss=0.1163, over 2777676.57 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06997, over 44606.97 utterances.], batch size: 167, lr: 3.78e-04
+2022-09-18 01:35:37,566 INFO [train.py:885] (1/2) Epoch 12, batch 11800, loss[loss=0.3275, simple_loss=0.4169, pruned_loss=0.1191, over 13739.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07358, over 411.00 utterances.], tot_loss[loss=0.2971, simple_loss=0.3604, pruned_loss=0.1169, over 2776612.11 frames. utt_duration=251 frames, utt_pad_proportion=0.06992, over 44505.87 utterances.], batch size: 411, lr: 3.78e-04
+2022-09-18 01:36:06,448 INFO [train.py:885] (1/2) Epoch 12, batch 11850, loss[loss=0.3603, simple_loss=0.4167, pruned_loss=0.1519, over 14205.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04544, over 335.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3607, pruned_loss=0.1162, over 2777525.66 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07019, over 44982.43 utterances.], batch size: 335, lr: 3.78e-04
+2022-09-18 01:36:35,838 INFO [train.py:885] (1/2) Epoch 12, batch 11900, loss[loss=0.3204, simple_loss=0.414, pruned_loss=0.1134, over 13821.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06836, over 411.00 utterances.], tot_loss[loss=0.294, simple_loss=0.359, pruned_loss=0.1145, over 2780556.51 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06837, over 44188.70 utterances.], batch size: 411, lr: 3.78e-04
+2022-09-18 01:37:05,516 INFO [train.py:885] (1/2) Epoch 12, batch 11950, loss[loss=0.2222, simple_loss=0.2879, pruned_loss=0.07822, over 13803.00 frames. utt_duration=801.7 frames, utt_pad_proportion=0.06671, over 69.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3574, pruned_loss=0.1148, over 2776220.99 frames. utt_duration=259.1 frames, utt_pad_proportion=0.07119, over 43101.06 utterances.], batch size: 69, lr: 3.78e-04
+2022-09-18 01:37:35,390 INFO [train.py:885] (1/2) Epoch 12, batch 12000, loss[loss=0.3292, simple_loss=0.407, pruned_loss=0.1257, over 13968.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05792, over 365.00 utterances.], tot_loss[loss=0.2986, simple_loss=0.3623, pruned_loss=0.1175, over 2775685.30 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07212, over 45071.80 utterances.], batch size: 365, lr: 3.78e-04
+2022-09-18 01:37:35,391 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 01:37:40,065 INFO [train.py:914] (1/2) Epoch 12, validation: loss=0.2007, simple_loss=0.2785, pruned_loss=0.06142, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 01:38:09,123 INFO [train.py:885] (1/2) Epoch 12, batch 12050, loss[loss=0.308, simple_loss=0.3813, pruned_loss=0.1173, over 14293.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.0407, over 262.00 utterances.], tot_loss[loss=0.2969, simple_loss=0.3597, pruned_loss=0.117, over 2782180.30 frames. utt_duration=263 frames, utt_pad_proportion=0.06835, over 42556.36 utterances.], batch size: 262, lr: 3.78e-04
+2022-09-18 01:38:39,093 INFO [train.py:885] (1/2) Epoch 12, batch 12100, loss[loss=0.2591, simple_loss=0.3107, pruned_loss=0.1038, over 14173.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.04496, over 109.00 utterances.], tot_loss[loss=0.2951, simple_loss=0.3582, pruned_loss=0.116, over 2781766.15 frames. utt_duration=265.2 frames, utt_pad_proportion=0.06832, over 42196.93 utterances.], batch size: 109, lr: 3.78e-04
+2022-09-18 01:39:09,165 INFO [train.py:885] (1/2) Epoch 12, batch 12150, loss[loss=0.3145, simple_loss=0.3884, pruned_loss=0.1203, over 14346.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.03653, over 226.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3584, pruned_loss=0.1163, over 2785850.56 frames. utt_duration=269.4 frames, utt_pad_proportion=0.06825, over 41585.21 utterances.], batch size: 226, lr: 3.78e-04
+2022-09-18 01:39:39,087 INFO [train.py:885] (1/2) Epoch 12, batch 12200, loss[loss=0.3997, simple_loss=0.4338, pruned_loss=0.1828, over 14373.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03602, over 244.00 utterances.], tot_loss[loss=0.301, simple_loss=0.3635, pruned_loss=0.1193, over 2781591.90 frames. utt_duration=256.1 frames, utt_pad_proportion=0.07228, over 43697.44 utterances.], batch size: 244, lr: 3.78e-04
+2022-09-18 01:40:08,292 INFO [train.py:885] (1/2) Epoch 12, batch 12250, loss[loss=0.213, simple_loss=0.2791, pruned_loss=0.07342, over 13894.00 frames. utt_duration=806.9 frames, utt_pad_proportion=0.05959, over 69.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3647, pruned_loss=0.1206, over 2785791.70 frames. utt_duration=257.4 frames, utt_pad_proportion=0.07109, over 43536.08 utterances.], batch size: 69, lr: 3.78e-04
+2022-09-18 01:40:38,763 INFO [train.py:885] (1/2) Epoch 12, batch 12300, loss[loss=0.3005, simple_loss=0.3711, pruned_loss=0.1149, over 14368.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03574, over 210.00 utterances.], tot_loss[loss=0.3058, simple_loss=0.3682, pruned_loss=0.1218, over 2785331.45 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07197, over 45575.65 utterances.], batch size: 210, lr: 3.78e-04
+2022-09-18 01:41:08,391 INFO [train.py:885] (1/2) Epoch 12, batch 12350, loss[loss=0.1699, simple_loss=0.241, pruned_loss=0.04938, over 13893.00 frames. utt_duration=927.6 frames, utt_pad_proportion=0.06866, over 60.00 utterances.], tot_loss[loss=0.304, simple_loss=0.3663, pruned_loss=0.1209, over 2788545.13 frames. utt_duration=249.4 frames, utt_pad_proportion=0.0701, over 44996.30 utterances.], batch size: 60, lr: 3.77e-04
+2022-09-18 01:41:37,563 INFO [train.py:885] (1/2) Epoch 12, batch 12400, loss[loss=0.3666, simple_loss=0.4494, pruned_loss=0.1418, over 13613.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07792, over 560.00 utterances.], tot_loss[loss=0.3021, simple_loss=0.3643, pruned_loss=0.1199, over 2788056.80 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06908, over 44677.05 utterances.], batch size: 560, lr: 3.77e-04
+2022-09-18 01:42:07,112 INFO [train.py:885] (1/2) Epoch 12, batch 12450, loss[loss=0.2179, simple_loss=0.2685, pruned_loss=0.08365, over 13489.00 frames. utt_duration=1286 frames, utt_pad_proportion=0.08776, over 42.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3625, pruned_loss=0.1187, over 2790471.69 frames. utt_duration=260.2 frames, utt_pad_proportion=0.06723, over 43144.11 utterances.], batch size: 42, lr: 3.77e-04
+2022-09-18 01:42:37,054 INFO [train.py:885] (1/2) Epoch 12, batch 12500, loss[loss=0.3377, simple_loss=0.3998, pruned_loss=0.1377, over 14299.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03982, over 262.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3643, pruned_loss=0.1193, over 2789008.84 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06759, over 44293.78 utterances.], batch size: 262, lr: 3.77e-04
+2022-09-18 01:43:06,850 INFO [train.py:885] (1/2) Epoch 12, batch 12550, loss[loss=0.1856, simple_loss=0.2404, pruned_loss=0.0654, over 12333.00 frames. utt_duration=2057 frames, utt_pad_proportion=0.1613, over 24.00 utterances.], tot_loss[loss=0.3007, simple_loss=0.3638, pruned_loss=0.1188, over 2787441.44 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06778, over 44393.99 utterances.], batch size: 24, lr: 3.77e-04
+2022-09-18 01:43:34,466 INFO [train.py:885] (1/2) Epoch 12, batch 12600, loss[loss=0.2148, simple_loss=0.2771, pruned_loss=0.07628, over 14108.00 frames. utt_duration=807.8 frames, utt_pad_proportion=0.05078, over 70.00 utterances.], tot_loss[loss=0.301, simple_loss=0.3637, pruned_loss=0.1192, over 2784709.78 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06865, over 44007.43 utterances.], batch size: 70, lr: 3.77e-04
+2022-09-18 01:43:53,089 INFO [train.py:885] (1/2) Epoch 13, batch 0, loss[loss=0.3182, simple_loss=0.3824, pruned_loss=0.127, over 14304.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03964, over 283.00 utterances.], tot_loss[loss=0.3182, simple_loss=0.3824, pruned_loss=0.127, over 14304.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03964, over 283.00 utterances.], batch size: 283, lr: 3.64e-04
+2022-09-18 01:44:22,834 INFO [train.py:885] (1/2) Epoch 13, batch 50, loss[loss=0.3057, simple_loss=0.3725, pruned_loss=0.1195, over 14347.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03681, over 210.00 utterances.], tot_loss[loss=0.31, simple_loss=0.3726, pruned_loss=0.1236, over 625698.73 frames. utt_duration=223.7 frames, utt_pad_proportion=0.0737, over 11263.72 utterances.], batch size: 210, lr: 3.64e-04
+2022-09-18 01:44:52,183 INFO [train.py:885] (1/2) Epoch 13, batch 100, loss[loss=0.2892, simple_loss=0.36, pruned_loss=0.1092, over 14350.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03878, over 167.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3664, pruned_loss=0.1206, over 1106709.97 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06753, over 18076.19 utterances.], batch size: 167, lr: 3.64e-04
+2022-09-18 01:45:21,639 INFO [train.py:885] (1/2) Epoch 13, batch 150, loss[loss=0.3383, simple_loss=0.4006, pruned_loss=0.138, over 14270.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04043, over 225.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3634, pruned_loss=0.1194, over 1476593.65 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06876, over 22968.65 utterances.], batch size: 225, lr: 3.64e-04
+2022-09-18 01:45:51,526 INFO [train.py:885] (1/2) Epoch 13, batch 200, loss[loss=0.2917, simple_loss=0.3677, pruned_loss=0.1078, over 14292.00 frames. utt_duration=255.7 frames, utt_pad_proportion=0.0388, over 225.00 utterances.], tot_loss[loss=0.303, simple_loss=0.3654, pruned_loss=0.1204, over 1763269.43 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07211, over 28517.89 utterances.], batch size: 225, lr: 3.64e-04
+2022-09-18 01:46:20,840 INFO [train.py:885] (1/2) Epoch 13, batch 250, loss[loss=0.2949, simple_loss=0.3483, pruned_loss=0.1208, over 14309.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03776, over 130.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3652, pruned_loss=0.1205, over 1990492.56 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06914, over 31195.49 utterances.], batch size: 130, lr: 3.64e-04
+2022-09-18 01:46:50,809 INFO [train.py:885] (1/2) Epoch 13, batch 300, loss[loss=0.2623, simple_loss=0.3444, pruned_loss=0.09013, over 14286.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.04212, over 154.00 utterances.], tot_loss[loss=0.311, simple_loss=0.373, pruned_loss=0.1245, over 2165114.77 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07336, over 36695.27 utterances.], batch size: 154, lr: 3.64e-04
+2022-09-18 01:47:20,180 INFO [train.py:885] (1/2) Epoch 13, batch 350, loss[loss=0.3136, simple_loss=0.3776, pruned_loss=0.1248, over 14310.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03838, over 210.00 utterances.], tot_loss[loss=0.3056, simple_loss=0.3681, pruned_loss=0.1215, over 2300815.45 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07179, over 37600.51 utterances.], batch size: 210, lr: 3.64e-04
+2022-09-18 01:47:49,913 INFO [train.py:885] (1/2) Epoch 13, batch 400, loss[loss=0.1738, simple_loss=0.2343, pruned_loss=0.05672, over 13434.00 frames. utt_duration=1076 frames, utt_pad_proportion=0.09587, over 50.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3646, pruned_loss=0.1188, over 2408167.70 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07104, over 38905.39 utterances.], batch size: 50, lr: 3.64e-04
+2022-09-18 01:48:19,773 INFO [train.py:885] (1/2) Epoch 13, batch 450, loss[loss=0.252, simple_loss=0.326, pruned_loss=0.08903, over 14066.00 frames. utt_duration=575.5 frames, utt_pad_proportion=0.05508, over 98.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.3654, pruned_loss=0.119, over 2491373.68 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07226, over 40648.10 utterances.], batch size: 98, lr: 3.64e-04
+2022-09-18 01:48:49,293 INFO [train.py:885] (1/2) Epoch 13, batch 500, loss[loss=0.3038, simple_loss=0.376, pruned_loss=0.1158, over 14333.00 frames. utt_duration=319.9 frames, utt_pad_proportion=0.03656, over 180.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.3622, pruned_loss=0.1177, over 2555335.83 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07094, over 41050.98 utterances.], batch size: 180, lr: 3.64e-04
+2022-09-18 01:49:18,748 INFO [train.py:885] (1/2) Epoch 13, batch 550, loss[loss=0.3126, simple_loss=0.3785, pruned_loss=0.1233, over 14317.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03857, over 283.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.3618, pruned_loss=0.1174, over 2600776.77 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07124, over 42218.17 utterances.], batch size: 283, lr: 3.64e-04
+2022-09-18 01:49:48,795 INFO [train.py:885] (1/2) Epoch 13, batch 600, loss[loss=0.3371, simple_loss=0.3956, pruned_loss=0.1393, over 14374.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03225, over 244.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3619, pruned_loss=0.1183, over 2642463.29 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06957, over 42168.96 utterances.], batch size: 244, lr: 3.64e-04
+2022-09-18 01:50:18,797 INFO [train.py:885] (1/2) Epoch 13, batch 650, loss[loss=0.57, simple_loss=0.6231, pruned_loss=0.2585, over 12528.00 frames. utt_duration=63.36 frames, utt_pad_proportion=0.1437, over 811.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3656, pruned_loss=0.121, over 2670605.88 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07218, over 43721.53 utterances.], batch size: 811, lr: 3.64e-04
+2022-09-18 01:50:48,913 INFO [train.py:885] (1/2) Epoch 13, batch 700, loss[loss=0.2867, simple_loss=0.3508, pruned_loss=0.1113, over 14212.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.04796, over 141.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3625, pruned_loss=0.1185, over 2693499.18 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07267, over 43209.61 utterances.], batch size: 141, lr: 3.64e-04
+2022-09-18 01:51:18,271 INFO [train.py:885] (1/2) Epoch 13, batch 750, loss[loss=0.216, simple_loss=0.2672, pruned_loss=0.0824, over 13827.00 frames. utt_duration=923.2 frames, utt_pad_proportion=0.0693, over 60.00 utterances.], tot_loss[loss=0.2985, simple_loss=0.3613, pruned_loss=0.1179, over 2711609.31 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07162, over 43418.21 utterances.], batch size: 60, lr: 3.64e-04
+2022-09-18 01:51:47,752 INFO [train.py:885] (1/2) Epoch 13, batch 800, loss[loss=0.3882, simple_loss=0.4572, pruned_loss=0.1595, over 13660.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07975, over 477.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.36, pruned_loss=0.1176, over 2728442.81 frames. utt_duration=254.8 frames, utt_pad_proportion=0.0701, over 43075.71 utterances.], batch size: 477, lr: 3.63e-04
+2022-09-18 01:52:17,174 INFO [train.py:885] (1/2) Epoch 13, batch 850, loss[loss=0.2475, simple_loss=0.3075, pruned_loss=0.0937, over 14342.00 frames. utt_duration=479.4 frames, utt_pad_proportion=0.03733, over 120.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3596, pruned_loss=0.1158, over 2740756.38 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07043, over 43982.56 utterances.], batch size: 120, lr: 3.63e-04
+2022-09-18 01:52:47,299 INFO [train.py:885] (1/2) Epoch 13, batch 900, loss[loss=0.328, simple_loss=0.3743, pruned_loss=0.1409, over 14209.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.0456, over 141.00 utterances.], tot_loss[loss=0.2996, simple_loss=0.3629, pruned_loss=0.1181, over 2748885.19 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07048, over 44628.68 utterances.], batch size: 141, lr: 3.63e-04
+2022-09-18 01:53:16,515 INFO [train.py:885] (1/2) Epoch 13, batch 950, loss[loss=0.5445, simple_loss=0.6129, pruned_loss=0.2381, over 12553.00 frames. utt_duration=63.43 frames, utt_pad_proportion=0.1429, over 811.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3626, pruned_loss=0.1171, over 2753018.31 frames. utt_duration=246.8 frames, utt_pad_proportion=0.0716, over 44892.16 utterances.], batch size: 811, lr: 3.63e-04
+2022-09-18 01:53:46,321 INFO [train.py:885] (1/2) Epoch 13, batch 1000, loss[loss=0.2938, simple_loss=0.3735, pruned_loss=0.107, over 14339.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03684, over 210.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.3637, pruned_loss=0.1175, over 2759934.79 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07194, over 45357.79 utterances.], batch size: 210, lr: 3.63e-04
+2022-09-18 01:54:15,862 INFO [train.py:885] (1/2) Epoch 13, batch 1050, loss[loss=0.2539, simple_loss=0.3371, pruned_loss=0.08533, over 14362.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03775, over 167.00 utterances.], tot_loss[loss=0.3005, simple_loss=0.3651, pruned_loss=0.118, over 2767473.71 frames. utt_duration=242 frames, utt_pad_proportion=0.07159, over 46031.93 utterances.], batch size: 167, lr: 3.63e-04
+2022-09-18 01:54:45,384 INFO [train.py:885] (1/2) Epoch 13, batch 1100, loss[loss=0.3145, simple_loss=0.3778, pruned_loss=0.1256, over 14412.00 frames. utt_duration=346.5 frames, utt_pad_proportion=0.03471, over 167.00 utterances.], tot_loss[loss=0.3027, simple_loss=0.367, pruned_loss=0.1192, over 2764499.68 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07441, over 47002.38 utterances.], batch size: 167, lr: 3.63e-04
+2022-09-18 01:55:15,654 INFO [train.py:885] (1/2) Epoch 13, batch 1150, loss[loss=0.2306, simple_loss=0.2902, pruned_loss=0.08549, over 13335.00 frames. utt_duration=1618 frames, utt_pad_proportion=0.1038, over 33.00 utterances.], tot_loss[loss=0.3013, simple_loss=0.366, pruned_loss=0.1182, over 2767393.97 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07312, over 46533.37 utterances.], batch size: 33, lr: 3.63e-04
+2022-09-18 01:55:43,942 INFO [train.py:885] (1/2) Epoch 13, batch 1200, loss[loss=0.2444, simple_loss=0.3136, pruned_loss=0.08758, over 14304.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.04003, over 120.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3639, pruned_loss=0.1169, over 2778538.95 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06963, over 45432.06 utterances.], batch size: 120, lr: 3.63e-04
+2022-09-18 01:56:14,230 INFO [train.py:885] (1/2) Epoch 13, batch 1250, loss[loss=0.3282, simple_loss=0.3827, pruned_loss=0.1369, over 14348.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03898, over 167.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3606, pruned_loss=0.1151, over 2781585.69 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06889, over 44307.73 utterances.], batch size: 167, lr: 3.63e-04
+2022-09-18 01:56:43,740 INFO [train.py:885] (1/2) Epoch 13, batch 1300, loss[loss=0.3409, simple_loss=0.4234, pruned_loss=0.1292, over 13729.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07389, over 411.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3603, pruned_loss=0.1146, over 2783799.65 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06933, over 44532.77 utterances.], batch size: 411, lr: 3.63e-04
+2022-09-18 01:57:13,172 INFO [train.py:885] (1/2) Epoch 13, batch 1350, loss[loss=0.2933, simple_loss=0.3737, pruned_loss=0.1065, over 13994.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.0565, over 365.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.361, pruned_loss=0.116, over 2786297.52 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06916, over 44441.75 utterances.], batch size: 365, lr: 3.63e-04
+2022-09-18 01:57:42,685 INFO [train.py:885] (1/2) Epoch 13, batch 1400, loss[loss=0.2096, simple_loss=0.2758, pruned_loss=0.07165, over 13807.00 frames. utt_duration=921.9 frames, utt_pad_proportion=0.07343, over 60.00 utterances.], tot_loss[loss=0.2964, simple_loss=0.3612, pruned_loss=0.1158, over 2790488.31 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06783, over 44276.17 utterances.], batch size: 60, lr: 3.63e-04
+2022-09-18 01:58:12,623 INFO [train.py:885] (1/2) Epoch 13, batch 1450, loss[loss=0.2281, simple_loss=0.3048, pruned_loss=0.0757, over 14316.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03935, over 130.00 utterances.], tot_loss[loss=0.294, simple_loss=0.3587, pruned_loss=0.1147, over 2783956.33 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06923, over 43886.78 utterances.], batch size: 130, lr: 3.63e-04
+2022-09-18 01:58:42,029 INFO [train.py:885] (1/2) Epoch 13, batch 1500, loss[loss=0.225, simple_loss=0.2549, pruned_loss=0.09758, over 12245.00 frames. utt_duration=2042 frames, utt_pad_proportion=0.1559, over 24.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3581, pruned_loss=0.1151, over 2780041.70 frames. utt_duration=259.8 frames, utt_pad_proportion=0.07021, over 43055.17 utterances.], batch size: 24, lr: 3.63e-04
+2022-09-18 01:59:11,962 INFO [train.py:885] (1/2) Epoch 13, batch 1550, loss[loss=0.3083, simple_loss=0.3801, pruned_loss=0.1183, over 14252.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04142, over 225.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3617, pruned_loss=0.117, over 2775467.07 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07202, over 44901.68 utterances.], batch size: 225, lr: 3.63e-04
+2022-09-18 01:59:41,607 INFO [train.py:885] (1/2) Epoch 13, batch 1600, loss[loss=0.5468, simple_loss=0.6145, pruned_loss=0.2395, over 12480.00 frames. utt_duration=63.11 frames, utt_pad_proportion=0.1472, over 811.00 utterances.], tot_loss[loss=0.3015, simple_loss=0.3652, pruned_loss=0.1189, over 2779500.59 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07123, over 45759.13 utterances.], batch size: 811, lr: 3.63e-04
+2022-09-18 02:00:10,885 INFO [train.py:885] (1/2) Epoch 13, batch 1650, loss[loss=0.3143, simple_loss=0.4091, pruned_loss=0.1098, over 13676.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07822, over 477.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.3652, pruned_loss=0.1189, over 2777318.91 frames. utt_duration=240.6 frames, utt_pad_proportion=0.0722, over 46463.22 utterances.], batch size: 477, lr: 3.62e-04
+2022-09-18 02:00:39,921 INFO [train.py:885] (1/2) Epoch 13, batch 1700, loss[loss=0.3095, simple_loss=0.3619, pruned_loss=0.1286, over 14184.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04406, over 109.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3659, pruned_loss=0.1194, over 2780086.16 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07204, over 46176.68 utterances.], batch size: 109, lr: 3.62e-04
+2022-09-18 02:01:09,373 INFO [train.py:885] (1/2) Epoch 13, batch 1750, loss[loss=0.1921, simple_loss=0.2656, pruned_loss=0.05928, over 13974.00 frames. utt_duration=708.8 frames, utt_pad_proportion=0.06245, over 79.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3635, pruned_loss=0.1175, over 2781175.40 frames. utt_duration=243 frames, utt_pad_proportion=0.0714, over 46061.78 utterances.], batch size: 79, lr: 3.62e-04
+2022-09-18 02:01:39,485 INFO [train.py:885] (1/2) Epoch 13, batch 1800, loss[loss=0.2469, simple_loss=0.3188, pruned_loss=0.08747, over 14232.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04669, over 141.00 utterances.], tot_loss[loss=0.2987, simple_loss=0.363, pruned_loss=0.1172, over 2782959.69 frames. utt_duration=245 frames, utt_pad_proportion=0.06999, over 45709.49 utterances.], batch size: 141, lr: 3.62e-04
+2022-09-18 02:02:09,151 INFO [train.py:885] (1/2) Epoch 13, batch 1850, loss[loss=0.2128, simple_loss=0.2702, pruned_loss=0.07772, over 13095.00 frames. utt_duration=2017 frames, utt_pad_proportion=0.1073, over 26.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3611, pruned_loss=0.1164, over 2787851.40 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06676, over 44573.91 utterances.], batch size: 26, lr: 3.62e-04
+2022-09-18 02:02:38,766 INFO [train.py:885] (1/2) Epoch 13, batch 1900, loss[loss=0.3945, simple_loss=0.4375, pruned_loss=0.1757, over 14242.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04257, over 335.00 utterances.], tot_loss[loss=0.2977, simple_loss=0.3617, pruned_loss=0.1169, over 2788550.96 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06686, over 44894.94 utterances.], batch size: 335, lr: 3.62e-04
+2022-09-18 02:03:08,114 INFO [train.py:885] (1/2) Epoch 13, batch 1950, loss[loss=0.2005, simple_loss=0.2624, pruned_loss=0.06924, over 13175.00 frames. utt_duration=1598 frames, utt_pad_proportion=0.1156, over 33.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3625, pruned_loss=0.1168, over 2787188.09 frames. utt_duration=246 frames, utt_pad_proportion=0.06737, over 45589.34 utterances.], batch size: 33, lr: 3.62e-04
+2022-09-18 02:03:38,069 INFO [train.py:885] (1/2) Epoch 13, batch 2000, loss[loss=0.3627, simple_loss=0.4498, pruned_loss=0.1378, over 13619.00 frames. utt_duration=98.75 frames, utt_pad_proportion=0.07712, over 560.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3591, pruned_loss=0.115, over 2785897.77 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06763, over 44467.07 utterances.], batch size: 560, lr: 3.62e-04
+2022-09-18 02:04:07,299 INFO [train.py:885] (1/2) Epoch 13, batch 2050, loss[loss=0.2252, simple_loss=0.2916, pruned_loss=0.07937, over 14014.00 frames. utt_duration=802.2 frames, utt_pad_proportion=0.06287, over 70.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3599, pruned_loss=0.1157, over 2782371.77 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06967, over 44850.41 utterances.], batch size: 70, lr: 3.62e-04
+2022-09-18 02:04:37,391 INFO [train.py:885] (1/2) Epoch 13, batch 2100, loss[loss=0.2022, simple_loss=0.2646, pruned_loss=0.06994, over 13818.00 frames. utt_duration=922.6 frames, utt_pad_proportion=0.07275, over 60.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.3626, pruned_loss=0.1175, over 2781069.32 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07054, over 45465.63 utterances.], batch size: 60, lr: 3.62e-04
+2022-09-18 02:05:06,655 INFO [train.py:885] (1/2) Epoch 13, batch 2150, loss[loss=0.4195, simple_loss=0.4859, pruned_loss=0.1766, over 13622.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08144, over 477.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3608, pruned_loss=0.117, over 2781291.25 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06964, over 44296.92 utterances.], batch size: 477, lr: 3.62e-04
+2022-09-18 02:05:36,151 INFO [train.py:885] (1/2) Epoch 13, batch 2200, loss[loss=0.1767, simple_loss=0.2264, pruned_loss=0.06351, over 13429.00 frames. utt_duration=1629 frames, utt_pad_proportion=0.0944, over 33.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3585, pruned_loss=0.1166, over 2779066.89 frames. utt_duration=258.9 frames, utt_pad_proportion=0.07042, over 43176.13 utterances.], batch size: 33, lr: 3.62e-04
+2022-09-18 02:06:06,237 INFO [train.py:885] (1/2) Epoch 13, batch 2250, loss[loss=0.3767, simple_loss=0.4273, pruned_loss=0.1631, over 14199.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04475, over 306.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3622, pruned_loss=0.1188, over 2781841.40 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07044, over 43821.24 utterances.], batch size: 306, lr: 3.62e-04
+2022-09-18 02:06:35,658 INFO [train.py:885] (1/2) Epoch 13, batch 2300, loss[loss=0.1807, simple_loss=0.2464, pruned_loss=0.0575, over 13882.00 frames. utt_duration=927 frames, utt_pad_proportion=0.06829, over 60.00 utterances.], tot_loss[loss=0.2963, simple_loss=0.359, pruned_loss=0.1169, over 2784701.45 frames. utt_duration=262.8 frames, utt_pad_proportion=0.06818, over 42628.79 utterances.], batch size: 60, lr: 3.62e-04
+2022-09-18 02:07:05,315 INFO [train.py:885] (1/2) Epoch 13, batch 2350, loss[loss=0.1693, simple_loss=0.224, pruned_loss=0.05733, over 13216.00 frames. utt_duration=1291 frames, utt_pad_proportion=0.09802, over 41.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3628, pruned_loss=0.1186, over 2784874.65 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06842, over 44392.68 utterances.], batch size: 41, lr: 3.62e-04
+2022-09-18 02:07:35,126 INFO [train.py:885] (1/2) Epoch 13, batch 2400, loss[loss=0.2644, simple_loss=0.3386, pruned_loss=0.0951, over 14258.00 frames. utt_duration=440.1 frames, utt_pad_proportion=0.04118, over 130.00 utterances.], tot_loss[loss=0.3025, simple_loss=0.3666, pruned_loss=0.1192, over 2783166.30 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07135, over 46753.56 utterances.], batch size: 130, lr: 3.62e-04
+2022-09-18 02:08:04,917 INFO [train.py:885] (1/2) Epoch 13, batch 2450, loss[loss=0.6811, simple_loss=0.7058, pruned_loss=0.3282, over 12564.00 frames. utt_duration=63.53 frames, utt_pad_proportion=0.1415, over 811.00 utterances.], tot_loss[loss=0.309, simple_loss=0.372, pruned_loss=0.123, over 2777901.19 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07367, over 48125.01 utterances.], batch size: 811, lr: 3.62e-04
+2022-09-18 02:08:35,117 INFO [train.py:885] (1/2) Epoch 13, batch 2500, loss[loss=0.442, simple_loss=0.4967, pruned_loss=0.1937, over 13600.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08304, over 477.00 utterances.], tot_loss[loss=0.3064, simple_loss=0.3698, pruned_loss=0.1215, over 2778505.01 frames. utt_duration=235 frames, utt_pad_proportion=0.07402, over 47592.29 utterances.], batch size: 477, lr: 3.61e-04
+2022-09-18 02:09:04,007 INFO [train.py:885] (1/2) Epoch 13, batch 2550, loss[loss=0.3052, simple_loss=0.3804, pruned_loss=0.115, over 14348.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03606, over 210.00 utterances.], tot_loss[loss=0.3079, simple_loss=0.3712, pruned_loss=0.1223, over 2774880.51 frames. utt_duration=229.8 frames, utt_pad_proportion=0.07603, over 48612.27 utterances.], batch size: 210, lr: 3.61e-04
+2022-09-18 02:09:33,701 INFO [train.py:885] (1/2) Epoch 13, batch 2600, loss[loss=0.3127, simple_loss=0.3857, pruned_loss=0.1199, over 14333.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03746, over 210.00 utterances.], tot_loss[loss=0.3051, simple_loss=0.3689, pruned_loss=0.1206, over 2778560.42 frames. utt_duration=237.4 frames, utt_pad_proportion=0.073, over 47100.92 utterances.], batch size: 210, lr: 3.61e-04
+2022-09-18 02:10:03,038 INFO [train.py:885] (1/2) Epoch 13, batch 2650, loss[loss=0.2528, simple_loss=0.3194, pruned_loss=0.09307, over 14355.00 frames. utt_duration=442.9 frames, utt_pad_proportion=0.03499, over 130.00 utterances.], tot_loss[loss=0.3036, simple_loss=0.3673, pruned_loss=0.12, over 2777885.39 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07395, over 46738.35 utterances.], batch size: 130, lr: 3.61e-04
+2022-09-18 02:10:31,575 INFO [train.py:885] (1/2) Epoch 13, batch 2700, loss[loss=0.3931, simple_loss=0.4331, pruned_loss=0.1766, over 14292.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.04228, over 154.00 utterances.], tot_loss[loss=0.3036, simple_loss=0.3673, pruned_loss=0.12, over 2781631.68 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07291, over 46474.74 utterances.], batch size: 154, lr: 3.61e-04
+2022-09-18 02:11:01,370 INFO [train.py:885] (1/2) Epoch 13, batch 2750, loss[loss=0.2188, simple_loss=0.2959, pruned_loss=0.07088, over 13758.00 frames. utt_duration=918.6 frames, utt_pad_proportion=0.07403, over 60.00 utterances.], tot_loss[loss=0.302, simple_loss=0.3661, pruned_loss=0.119, over 2780605.42 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07334, over 45721.48 utterances.], batch size: 60, lr: 3.61e-04
+2022-09-18 02:11:31,375 INFO [train.py:885] (1/2) Epoch 13, batch 2800, loss[loss=0.2688, simple_loss=0.3352, pruned_loss=0.1012, over 14243.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04612, over 141.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3663, pruned_loss=0.1192, over 2780657.30 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07415, over 46409.89 utterances.], batch size: 141, lr: 3.61e-04
+2022-09-18 02:12:01,174 INFO [train.py:885] (1/2) Epoch 13, batch 2850, loss[loss=0.3409, simple_loss=0.4146, pruned_loss=0.1336, over 14017.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05436, over 365.00 utterances.], tot_loss[loss=0.3051, simple_loss=0.3684, pruned_loss=0.1208, over 2781611.78 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07318, over 46428.80 utterances.], batch size: 365, lr: 3.61e-04
+2022-09-18 02:12:30,325 INFO [train.py:885] (1/2) Epoch 13, batch 2900, loss[loss=0.3699, simple_loss=0.4357, pruned_loss=0.1521, over 13978.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05778, over 365.00 utterances.], tot_loss[loss=0.3073, simple_loss=0.3711, pruned_loss=0.1218, over 2783199.59 frames. utt_duration=235.4 frames, utt_pad_proportion=0.0737, over 47583.44 utterances.], batch size: 365, lr: 3.61e-04
+2022-09-18 02:12:59,895 INFO [train.py:885] (1/2) Epoch 13, batch 2950, loss[loss=0.254, simple_loss=0.3093, pruned_loss=0.09931, over 14167.00 frames. utt_duration=638.1 frames, utt_pad_proportion=0.04896, over 89.00 utterances.], tot_loss[loss=0.3093, simple_loss=0.3722, pruned_loss=0.1232, over 2780865.08 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07515, over 48369.92 utterances.], batch size: 89, lr: 3.61e-04
+2022-09-18 02:13:29,668 INFO [train.py:885] (1/2) Epoch 13, batch 3000, loss[loss=0.3162, simple_loss=0.4083, pruned_loss=0.1121, over 13791.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07031, over 411.00 utterances.], tot_loss[loss=0.3077, simple_loss=0.3708, pruned_loss=0.1223, over 2782370.71 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07448, over 47897.76 utterances.], batch size: 411, lr: 3.61e-04
+2022-09-18 02:13:29,669 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 02:13:34,385 INFO [train.py:914] (1/2) Epoch 13, validation: loss=0.2063, simple_loss=0.283, pruned_loss=0.06475, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 02:14:04,250 INFO [train.py:885] (1/2) Epoch 13, batch 3050, loss[loss=0.4227, simple_loss=0.4511, pruned_loss=0.1971, over 14255.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04166, over 335.00 utterances.], tot_loss[loss=0.3072, simple_loss=0.3706, pruned_loss=0.1219, over 2785079.44 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07193, over 47656.84 utterances.], batch size: 335, lr: 3.61e-04
+2022-09-18 02:14:33,435 INFO [train.py:885] (1/2) Epoch 13, batch 3100, loss[loss=0.533, simple_loss=0.6118, pruned_loss=0.2271, over 12497.00 frames. utt_duration=63.21 frames, utt_pad_proportion=0.1458, over 811.00 utterances.], tot_loss[loss=0.3041, simple_loss=0.368, pruned_loss=0.1201, over 2784029.01 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07218, over 47071.92 utterances.], batch size: 811, lr: 3.61e-04
+2022-09-18 02:15:03,166 INFO [train.py:885] (1/2) Epoch 13, batch 3150, loss[loss=0.2951, simple_loss=0.3472, pruned_loss=0.1215, over 14190.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04344, over 109.00 utterances.], tot_loss[loss=0.3041, simple_loss=0.3679, pruned_loss=0.1202, over 2782678.30 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07349, over 47409.32 utterances.], batch size: 109, lr: 3.61e-04
+2022-09-18 02:15:32,255 INFO [train.py:885] (1/2) Epoch 13, batch 3200, loss[loss=0.2524, simple_loss=0.3277, pruned_loss=0.08862, over 14279.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.0395, over 130.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.3649, pruned_loss=0.1193, over 2784424.22 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07111, over 45669.12 utterances.], batch size: 130, lr: 3.61e-04
+2022-09-18 02:16:02,120 INFO [train.py:885] (1/2) Epoch 13, batch 3250, loss[loss=0.3916, simple_loss=0.4791, pruned_loss=0.152, over 13200.00 frames. utt_duration=82.36 frames, utt_pad_proportion=0.1048, over 653.00 utterances.], tot_loss[loss=0.3022, simple_loss=0.366, pruned_loss=0.1192, over 2784558.55 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07136, over 46544.63 utterances.], batch size: 653, lr: 3.61e-04
+2022-09-18 02:16:31,595 INFO [train.py:885] (1/2) Epoch 13, batch 3300, loss[loss=0.1879, simple_loss=0.2383, pruned_loss=0.06875, over 13864.00 frames. utt_duration=925.5 frames, utt_pad_proportion=0.0708, over 60.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3651, pruned_loss=0.1186, over 2786508.64 frames. utt_duration=241.7 frames, utt_pad_proportion=0.0703, over 46398.69 utterances.], batch size: 60, lr: 3.61e-04
+2022-09-18 02:17:00,759 INFO [train.py:885] (1/2) Epoch 13, batch 3350, loss[loss=0.5686, simple_loss=0.6392, pruned_loss=0.249, over 12618.00 frames. utt_duration=63.89 frames, utt_pad_proportion=0.1366, over 810.00 utterances.], tot_loss[loss=0.2975, simple_loss=0.3614, pruned_loss=0.1168, over 2788810.43 frames. utt_duration=251 frames, utt_pad_proportion=0.06859, over 44713.92 utterances.], batch size: 810, lr: 3.60e-04
+2022-09-18 02:17:30,308 INFO [train.py:885] (1/2) Epoch 13, batch 3400, loss[loss=0.2986, simple_loss=0.3432, pruned_loss=0.127, over 14144.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04648, over 109.00 utterances.], tot_loss[loss=0.3004, simple_loss=0.3639, pruned_loss=0.1184, over 2786808.28 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07021, over 45996.15 utterances.], batch size: 109, lr: 3.60e-04
+2022-09-18 02:18:00,212 INFO [train.py:885] (1/2) Epoch 13, batch 3450, loss[loss=0.3388, simple_loss=0.4028, pruned_loss=0.1374, over 14312.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03897, over 283.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3639, pruned_loss=0.1175, over 2784436.53 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07045, over 47023.54 utterances.], batch size: 283, lr: 3.60e-04
+2022-09-18 02:18:30,289 INFO [train.py:885] (1/2) Epoch 13, batch 3500, loss[loss=0.2988, simple_loss=0.3666, pruned_loss=0.1155, over 14333.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03732, over 195.00 utterances.], tot_loss[loss=0.2985, simple_loss=0.3636, pruned_loss=0.1167, over 2783711.07 frames. utt_duration=240.1 frames, utt_pad_proportion=0.06943, over 46668.21 utterances.], batch size: 195, lr: 3.60e-04
+2022-09-18 02:18:59,579 INFO [train.py:885] (1/2) Epoch 13, batch 3550, loss[loss=0.3445, simple_loss=0.4053, pruned_loss=0.1418, over 14315.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03953, over 262.00 utterances.], tot_loss[loss=0.2964, simple_loss=0.3611, pruned_loss=0.1159, over 2782248.49 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06885, over 45554.68 utterances.], batch size: 262, lr: 3.60e-04
+2022-09-18 02:19:28,837 INFO [train.py:885] (1/2) Epoch 13, batch 3600, loss[loss=0.2009, simple_loss=0.2669, pruned_loss=0.06748, over 14201.00 frames. utt_duration=639.7 frames, utt_pad_proportion=0.04525, over 89.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3613, pruned_loss=0.1166, over 2781961.30 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06944, over 45122.22 utterances.], batch size: 89, lr: 3.60e-04
+2022-09-18 02:19:58,690 INFO [train.py:885] (1/2) Epoch 13, batch 3650, loss[loss=0.5199, simple_loss=0.5197, pruned_loss=0.2601, over 14231.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04333, over 335.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.363, pruned_loss=0.1177, over 2786769.56 frames. utt_duration=249.6 frames, utt_pad_proportion=0.0673, over 44922.00 utterances.], batch size: 335, lr: 3.60e-04
+2022-09-18 02:20:28,412 INFO [train.py:885] (1/2) Epoch 13, batch 3700, loss[loss=0.1978, simple_loss=0.2657, pruned_loss=0.065, over 13567.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.0936, over 42.00 utterances.], tot_loss[loss=0.3019, simple_loss=0.3655, pruned_loss=0.1191, over 2781226.75 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07082, over 45554.57 utterances.], batch size: 42, lr: 3.60e-04
+2022-09-18 02:20:57,210 INFO [train.py:885] (1/2) Epoch 13, batch 3750, loss[loss=0.3176, simple_loss=0.3829, pruned_loss=0.1261, over 14365.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03287, over 244.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3626, pruned_loss=0.1166, over 2782877.94 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06907, over 45182.88 utterances.], batch size: 244, lr: 3.60e-04
+2022-09-18 02:21:26,811 INFO [train.py:885] (1/2) Epoch 13, batch 3800, loss[loss=0.3234, simple_loss=0.3857, pruned_loss=0.1306, over 14327.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03805, over 195.00 utterances.], tot_loss[loss=0.2969, simple_loss=0.3614, pruned_loss=0.1162, over 2783520.92 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06873, over 44995.02 utterances.], batch size: 195, lr: 3.60e-04
+2022-09-18 02:21:55,670 INFO [train.py:885] (1/2) Epoch 13, batch 3850, loss[loss=0.32, simple_loss=0.3958, pruned_loss=0.1221, over 13999.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05571, over 365.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3589, pruned_loss=0.1147, over 2783862.41 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06842, over 43786.98 utterances.], batch size: 365, lr: 3.60e-04
+2022-09-18 02:22:25,386 INFO [train.py:885] (1/2) Epoch 13, batch 3900, loss[loss=0.3933, simple_loss=0.4382, pruned_loss=0.1741, over 14251.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04266, over 335.00 utterances.], tot_loss[loss=0.2969, simple_loss=0.3611, pruned_loss=0.1164, over 2783764.96 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06921, over 44692.02 utterances.], batch size: 335, lr: 3.60e-04
+2022-09-18 02:22:55,065 INFO [train.py:885] (1/2) Epoch 13, batch 3950, loss[loss=0.5219, simple_loss=0.5833, pruned_loss=0.2302, over 13145.00 frames. utt_duration=82.02 frames, utt_pad_proportion=0.1084, over 653.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3626, pruned_loss=0.1171, over 2783453.17 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06965, over 45516.29 utterances.], batch size: 653, lr: 3.60e-04
+2022-09-18 02:23:24,660 INFO [train.py:885] (1/2) Epoch 13, batch 4000, loss[loss=0.2348, simple_loss=0.3075, pruned_loss=0.08103, over 14197.00 frames. utt_duration=522.5 frames, utt_pad_proportion=0.04298, over 109.00 utterances.], tot_loss[loss=0.3006, simple_loss=0.3644, pruned_loss=0.1184, over 2783396.72 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07059, over 45651.16 utterances.], batch size: 109, lr: 3.60e-04
+2022-09-18 02:23:54,211 INFO [train.py:885] (1/2) Epoch 13, batch 4050, loss[loss=0.2273, simple_loss=0.3051, pruned_loss=0.07474, over 14301.00 frames. utt_duration=521.5 frames, utt_pad_proportion=0.04305, over 110.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3613, pruned_loss=0.1173, over 2787522.09 frames. utt_duration=254.8 frames, utt_pad_proportion=0.0686, over 44011.99 utterances.], batch size: 110, lr: 3.60e-04
+2022-09-18 02:24:24,507 INFO [train.py:885] (1/2) Epoch 13, batch 4100, loss[loss=0.3067, simple_loss=0.3739, pruned_loss=0.1198, over 14243.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.04195, over 180.00 utterances.], tot_loss[loss=0.2986, simple_loss=0.3612, pruned_loss=0.118, over 2787015.29 frames. utt_duration=260.3 frames, utt_pad_proportion=0.06703, over 43074.59 utterances.], batch size: 180, lr: 3.60e-04
+2022-09-18 02:24:53,841 INFO [train.py:885] (1/2) Epoch 13, batch 4150, loss[loss=0.1584, simple_loss=0.1978, pruned_loss=0.05947, over 12749.00 frames. utt_duration=2041 frames, utt_pad_proportion=0.1445, over 25.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3613, pruned_loss=0.1178, over 2788044.79 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06687, over 43560.63 utterances.], batch size: 25, lr: 3.60e-04
+2022-09-18 02:25:23,521 INFO [train.py:885] (1/2) Epoch 13, batch 4200, loss[loss=0.2876, simple_loss=0.3615, pruned_loss=0.1069, over 14344.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03702, over 195.00 utterances.], tot_loss[loss=0.298, simple_loss=0.3608, pruned_loss=0.1176, over 2789426.46 frames. utt_duration=260.5 frames, utt_pad_proportion=0.06697, over 43078.01 utterances.], batch size: 195, lr: 3.59e-04
+2022-09-18 02:25:53,154 INFO [train.py:885] (1/2) Epoch 13, batch 4250, loss[loss=0.1749, simple_loss=0.2471, pruned_loss=0.05136, over 14131.00 frames. utt_duration=808.9 frames, utt_pad_proportion=0.05497, over 70.00 utterances.], tot_loss[loss=0.2986, simple_loss=0.3628, pruned_loss=0.1172, over 2784741.43 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07024, over 45051.83 utterances.], batch size: 70, lr: 3.59e-04
+2022-09-18 02:26:22,774 INFO [train.py:885] (1/2) Epoch 13, batch 4300, loss[loss=0.3349, simple_loss=0.4083, pruned_loss=0.1308, over 13741.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07323, over 411.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3646, pruned_loss=0.1175, over 2785166.50 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07138, over 46423.73 utterances.], batch size: 411, lr: 3.59e-04
+2022-09-18 02:26:52,183 INFO [train.py:885] (1/2) Epoch 13, batch 4350, loss[loss=0.2219, simple_loss=0.3001, pruned_loss=0.07186, over 12882.00 frames. utt_duration=1983 frames, utt_pad_proportion=0.1331, over 26.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3633, pruned_loss=0.1175, over 2785269.07 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06938, over 44932.63 utterances.], batch size: 26, lr: 3.59e-04
+2022-09-18 02:27:22,180 INFO [train.py:885] (1/2) Epoch 13, batch 4400, loss[loss=0.2399, simple_loss=0.3052, pruned_loss=0.08727, over 14305.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03799, over 130.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3638, pruned_loss=0.1176, over 2783314.11 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07149, over 45001.84 utterances.], batch size: 130, lr: 3.59e-04
+2022-09-18 02:27:51,634 INFO [train.py:885] (1/2) Epoch 13, batch 4450, loss[loss=0.215, simple_loss=0.285, pruned_loss=0.07246, over 14159.00 frames. utt_duration=638 frames, utt_pad_proportion=0.04925, over 89.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3637, pruned_loss=0.1181, over 2787918.54 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06875, over 44760.64 utterances.], batch size: 89, lr: 3.59e-04
+2022-09-18 02:28:21,559 INFO [train.py:885] (1/2) Epoch 13, batch 4500, loss[loss=0.202, simple_loss=0.2757, pruned_loss=0.06418, over 14028.00 frames. utt_duration=711.7 frames, utt_pad_proportion=0.05732, over 79.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.365, pruned_loss=0.1186, over 2785387.54 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07006, over 45899.40 utterances.], batch size: 79, lr: 3.59e-04
+2022-09-18 02:28:51,471 INFO [train.py:885] (1/2) Epoch 13, batch 4550, loss[loss=0.3372, simple_loss=0.3921, pruned_loss=0.1412, over 14363.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.0376, over 167.00 utterances.], tot_loss[loss=0.2997, simple_loss=0.3641, pruned_loss=0.1177, over 2779478.71 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07164, over 46179.53 utterances.], batch size: 167, lr: 3.59e-04
+2022-09-18 02:29:21,018 INFO [train.py:885] (1/2) Epoch 13, batch 4600, loss[loss=0.3011, simple_loss=0.3947, pruned_loss=0.1038, over 13721.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07516, over 411.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3673, pruned_loss=0.1187, over 2780821.50 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07184, over 47789.06 utterances.], batch size: 411, lr: 3.59e-04
+2022-09-18 02:29:51,309 INFO [train.py:885] (1/2) Epoch 13, batch 4650, loss[loss=0.5914, simple_loss=0.6489, pruned_loss=0.2669, over 12553.00 frames. utt_duration=63.54 frames, utt_pad_proportion=0.1413, over 810.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3648, pruned_loss=0.1176, over 2775170.69 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07436, over 46918.30 utterances.], batch size: 810, lr: 3.59e-04
+2022-09-18 02:30:20,187 INFO [train.py:885] (1/2) Epoch 13, batch 4700, loss[loss=0.3426, simple_loss=0.4303, pruned_loss=0.1275, over 13713.00 frames. utt_duration=116.5 frames, utt_pad_proportion=0.07559, over 477.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.3626, pruned_loss=0.1165, over 2773012.46 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07407, over 46012.68 utterances.], batch size: 477, lr: 3.59e-04
+2022-09-18 02:30:49,872 INFO [train.py:885] (1/2) Epoch 13, batch 4750, loss[loss=0.3991, simple_loss=0.4403, pruned_loss=0.179, over 14196.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04483, over 306.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3655, pruned_loss=0.1181, over 2772296.93 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07505, over 47319.37 utterances.], batch size: 306, lr: 3.59e-04
+2022-09-18 02:31:19,704 INFO [train.py:885] (1/2) Epoch 13, batch 4800, loss[loss=0.311, simple_loss=0.3928, pruned_loss=0.1146, over 13975.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05742, over 365.00 utterances.], tot_loss[loss=0.3035, simple_loss=0.3681, pruned_loss=0.1194, over 2771446.70 frames. utt_duration=228.3 frames, utt_pad_proportion=0.07623, over 48871.41 utterances.], batch size: 365, lr: 3.59e-04
+2022-09-18 02:31:48,557 INFO [train.py:885] (1/2) Epoch 13, batch 4850, loss[loss=0.3219, simple_loss=0.3913, pruned_loss=0.1263, over 14311.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04115, over 167.00 utterances.], tot_loss[loss=0.3034, simple_loss=0.3674, pruned_loss=0.1197, over 2780910.83 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07175, over 47663.74 utterances.], batch size: 167, lr: 3.59e-04
+2022-09-18 02:32:18,202 INFO [train.py:885] (1/2) Epoch 13, batch 4900, loss[loss=0.1882, simple_loss=0.232, pruned_loss=0.07221, over 11972.00 frames. utt_duration=1997 frames, utt_pad_proportion=0.1736, over 24.00 utterances.], tot_loss[loss=0.2997, simple_loss=0.3634, pruned_loss=0.118, over 2775323.33 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07102, over 45656.31 utterances.], batch size: 24, lr: 3.59e-04
+2022-09-18 02:32:48,161 INFO [train.py:885] (1/2) Epoch 13, batch 4950, loss[loss=0.2066, simple_loss=0.2791, pruned_loss=0.06709, over 13957.00 frames. utt_duration=810.5 frames, utt_pad_proportion=0.05649, over 69.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3652, pruned_loss=0.1185, over 2777266.24 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07041, over 46740.76 utterances.], batch size: 69, lr: 3.59e-04
+2022-09-18 02:33:17,158 INFO [train.py:885] (1/2) Epoch 13, batch 5000, loss[loss=0.3409, simple_loss=0.4277, pruned_loss=0.127, over 13750.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07206, over 411.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3649, pruned_loss=0.1188, over 2775295.52 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07024, over 46455.31 utterances.], batch size: 411, lr: 3.59e-04
+2022-09-18 02:33:46,663 INFO [train.py:885] (1/2) Epoch 13, batch 5050, loss[loss=0.3838, simple_loss=0.4288, pruned_loss=0.1694, over 14267.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04101, over 180.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3644, pruned_loss=0.1179, over 2776382.69 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07109, over 46770.23 utterances.], batch size: 180, lr: 3.59e-04
+2022-09-18 02:34:17,053 INFO [train.py:885] (1/2) Epoch 13, batch 5100, loss[loss=0.299, simple_loss=0.3682, pruned_loss=0.1149, over 14372.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.036, over 244.00 utterances.], tot_loss[loss=0.303, simple_loss=0.3669, pruned_loss=0.1195, over 2776973.18 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07345, over 47996.01 utterances.], batch size: 244, lr: 3.58e-04
+2022-09-18 02:34:46,637 INFO [train.py:885] (1/2) Epoch 13, batch 5150, loss[loss=0.2354, simple_loss=0.3019, pruned_loss=0.08441, over 14105.00 frames. utt_duration=715.6 frames, utt_pad_proportion=0.05213, over 79.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3615, pruned_loss=0.1173, over 2780935.95 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07016, over 45581.11 utterances.], batch size: 79, lr: 3.58e-04
+2022-09-18 02:35:15,555 INFO [train.py:885] (1/2) Epoch 13, batch 5200, loss[loss=0.3226, simple_loss=0.3836, pruned_loss=0.1308, over 14356.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03567, over 210.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3619, pruned_loss=0.118, over 2779998.13 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07112, over 45929.81 utterances.], batch size: 210, lr: 3.58e-04
+2022-09-18 02:35:44,446 INFO [train.py:885] (1/2) Epoch 13, batch 5250, loss[loss=0.533, simple_loss=0.6038, pruned_loss=0.2311, over 12476.00 frames. utt_duration=63.14 frames, utt_pad_proportion=0.1468, over 810.00 utterances.], tot_loss[loss=0.3049, simple_loss=0.3685, pruned_loss=0.1207, over 2777323.75 frames. utt_duration=227.6 frames, utt_pad_proportion=0.07447, over 49138.22 utterances.], batch size: 810, lr: 3.58e-04
+2022-09-18 02:36:14,097 INFO [train.py:885] (1/2) Epoch 13, batch 5300, loss[loss=0.3645, simple_loss=0.4134, pruned_loss=0.1578, over 14318.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0388, over 283.00 utterances.], tot_loss[loss=0.3067, simple_loss=0.3695, pruned_loss=0.122, over 2777089.43 frames. utt_duration=229.2 frames, utt_pad_proportion=0.07349, over 48788.01 utterances.], batch size: 283, lr: 3.58e-04
+2022-09-18 02:36:50,863 INFO [train.py:885] (1/2) Epoch 13, batch 5350, loss[loss=0.2716, simple_loss=0.3509, pruned_loss=0.09619, over 14246.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04234, over 225.00 utterances.], tot_loss[loss=0.3041, simple_loss=0.3674, pruned_loss=0.1204, over 2780762.67 frames. utt_duration=234 frames, utt_pad_proportion=0.07229, over 47838.14 utterances.], batch size: 225, lr: 3.58e-04
+2022-09-18 02:37:20,937 INFO [train.py:885] (1/2) Epoch 13, batch 5400, loss[loss=0.2072, simple_loss=0.2552, pruned_loss=0.07963, over 13800.00 frames. utt_duration=921.3 frames, utt_pad_proportion=0.07404, over 60.00 utterances.], tot_loss[loss=0.3043, simple_loss=0.3676, pruned_loss=0.1205, over 2781794.46 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07204, over 48196.30 utterances.], batch size: 60, lr: 3.58e-04
+2022-09-18 02:37:50,821 INFO [train.py:885] (1/2) Epoch 13, batch 5450, loss[loss=0.3994, simple_loss=0.4695, pruned_loss=0.1646, over 13724.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07498, over 411.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.3658, pruned_loss=0.1187, over 2780990.78 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07125, over 47402.81 utterances.], batch size: 411, lr: 3.58e-04
+2022-09-18 02:38:19,950 INFO [train.py:885] (1/2) Epoch 13, batch 5500, loss[loss=0.1872, simple_loss=0.257, pruned_loss=0.05871, over 13911.00 frames. utt_duration=928.9 frames, utt_pad_proportion=0.06366, over 60.00 utterances.], tot_loss[loss=0.3021, simple_loss=0.3658, pruned_loss=0.1192, over 2786293.87 frames. utt_duration=242.3 frames, utt_pad_proportion=0.06795, over 46279.87 utterances.], batch size: 60, lr: 3.58e-04
+2022-09-18 02:38:49,458 INFO [train.py:885] (1/2) Epoch 13, batch 5550, loss[loss=0.3067, simple_loss=0.361, pruned_loss=0.1262, over 14267.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04232, over 130.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.365, pruned_loss=0.1186, over 2791850.66 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06596, over 45702.79 utterances.], batch size: 130, lr: 3.58e-04
+2022-09-18 02:39:18,679 INFO [train.py:885] (1/2) Epoch 13, batch 5600, loss[loss=0.3226, simple_loss=0.3896, pruned_loss=0.1278, over 14364.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03249, over 244.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3644, pruned_loss=0.1178, over 2797315.58 frames. utt_duration=249 frames, utt_pad_proportion=0.06451, over 45205.88 utterances.], batch size: 244, lr: 3.58e-04
+2022-09-18 02:39:48,214 INFO [train.py:885] (1/2) Epoch 13, batch 5650, loss[loss=0.3145, simple_loss=0.3751, pruned_loss=0.1269, over 14319.00 frames. utt_duration=236.2 frames, utt_pad_proportion=0.0358, over 244.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3642, pruned_loss=0.1174, over 2792114.22 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06533, over 45879.25 utterances.], batch size: 244, lr: 3.58e-04
+2022-09-18 02:40:17,783 INFO [train.py:885] (1/2) Epoch 13, batch 5700, loss[loss=0.2889, simple_loss=0.3397, pruned_loss=0.119, over 14099.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05275, over 98.00 utterances.], tot_loss[loss=0.2985, simple_loss=0.3626, pruned_loss=0.1172, over 2789245.28 frames. utt_duration=248 frames, utt_pad_proportion=0.06527, over 45247.79 utterances.], batch size: 98, lr: 3.58e-04
+2022-09-18 02:40:47,456 INFO [train.py:885] (1/2) Epoch 13, batch 5750, loss[loss=0.2959, simple_loss=0.3681, pruned_loss=0.1118, over 14285.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03981, over 180.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3625, pruned_loss=0.1164, over 2790677.31 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06527, over 45131.14 utterances.], batch size: 180, lr: 3.58e-04
+2022-09-18 02:41:17,708 INFO [train.py:885] (1/2) Epoch 13, batch 5800, loss[loss=0.2257, simple_loss=0.2973, pruned_loss=0.07709, over 13905.00 frames. utt_duration=928.6 frames, utt_pad_proportion=0.06764, over 60.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3608, pruned_loss=0.1161, over 2791220.10 frames. utt_duration=253 frames, utt_pad_proportion=0.06337, over 44391.20 utterances.], batch size: 60, lr: 3.58e-04
+2022-09-18 02:41:47,082 INFO [train.py:885] (1/2) Epoch 13, batch 5850, loss[loss=0.2799, simple_loss=0.3498, pruned_loss=0.1051, over 14304.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03814, over 180.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3629, pruned_loss=0.1175, over 2792250.71 frames. utt_duration=251 frames, utt_pad_proportion=0.0632, over 44754.47 utterances.], batch size: 180, lr: 3.58e-04
+2022-09-18 02:42:16,828 INFO [train.py:885] (1/2) Epoch 13, batch 5900, loss[loss=0.2492, simple_loss=0.2982, pruned_loss=0.1001, over 13992.00 frames. utt_duration=709.8 frames, utt_pad_proportion=0.0598, over 79.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3622, pruned_loss=0.1178, over 2785522.65 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06533, over 44668.27 utterances.], batch size: 79, lr: 3.58e-04
+2022-09-18 02:42:45,950 INFO [train.py:885] (1/2) Epoch 13, batch 5950, loss[loss=0.2396, simple_loss=0.2927, pruned_loss=0.09325, over 14010.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.05996, over 79.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.361, pruned_loss=0.1169, over 2784835.43 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06791, over 43947.34 utterances.], batch size: 79, lr: 3.57e-04
+2022-09-18 02:43:15,997 INFO [train.py:885] (1/2) Epoch 13, batch 6000, loss[loss=0.3173, simple_loss=0.3822, pruned_loss=0.1262, over 14263.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04104, over 225.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3637, pruned_loss=0.1181, over 2780490.36 frames. utt_duration=243 frames, utt_pad_proportion=0.0703, over 46046.05 utterances.], batch size: 225, lr: 3.57e-04
+2022-09-18 02:43:15,998 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 02:43:20,665 INFO [train.py:914] (1/2) Epoch 13, validation: loss=0.2024, simple_loss=0.2828, pruned_loss=0.06096, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 02:43:50,143 INFO [train.py:885] (1/2) Epoch 13, batch 6050, loss[loss=0.1805, simple_loss=0.2451, pruned_loss=0.05791, over 13277.00 frames. utt_duration=1611 frames, utt_pad_proportion=0.1046, over 33.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3642, pruned_loss=0.118, over 2782318.73 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07069, over 46028.51 utterances.], batch size: 33, lr: 3.57e-04
+2022-09-18 02:44:19,918 INFO [train.py:885] (1/2) Epoch 13, batch 6100, loss[loss=0.2635, simple_loss=0.3446, pruned_loss=0.0912, over 14260.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04509, over 141.00 utterances.], tot_loss[loss=0.3007, simple_loss=0.3653, pruned_loss=0.118, over 2780394.16 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07198, over 47521.66 utterances.], batch size: 141, lr: 3.57e-04
+2022-09-18 02:44:49,169 INFO [train.py:885] (1/2) Epoch 13, batch 6150, loss[loss=0.1713, simple_loss=0.2258, pruned_loss=0.05842, over 13036.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.1239, over 33.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3642, pruned_loss=0.1172, over 2776888.38 frames. utt_duration=238 frames, utt_pad_proportion=0.07216, over 46961.90 utterances.], batch size: 33, lr: 3.57e-04
+2022-09-18 02:45:18,740 INFO [train.py:885] (1/2) Epoch 13, batch 6200, loss[loss=0.3195, simple_loss=0.3792, pruned_loss=0.1299, over 14322.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03867, over 195.00 utterances.], tot_loss[loss=0.3006, simple_loss=0.3659, pruned_loss=0.1176, over 2777899.06 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07268, over 47813.84 utterances.], batch size: 195, lr: 3.57e-04
+2022-09-18 02:45:47,842 INFO [train.py:885] (1/2) Epoch 13, batch 6250, loss[loss=0.3424, simple_loss=0.4359, pruned_loss=0.1245, over 13689.00 frames. utt_duration=99.09 frames, utt_pad_proportion=0.07395, over 560.00 utterances.], tot_loss[loss=0.3016, simple_loss=0.3666, pruned_loss=0.1183, over 2779710.81 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07177, over 47270.92 utterances.], batch size: 560, lr: 3.57e-04
+2022-09-18 02:46:16,809 INFO [train.py:885] (1/2) Epoch 13, batch 6300, loss[loss=0.2339, simple_loss=0.29, pruned_loss=0.08892, over 12165.00 frames. utt_duration=2029 frames, utt_pad_proportion=0.1658, over 24.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3606, pruned_loss=0.1159, over 2779608.52 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06943, over 44119.45 utterances.], batch size: 24, lr: 3.57e-04
+2022-09-18 02:46:46,694 INFO [train.py:885] (1/2) Epoch 13, batch 6350, loss[loss=0.3836, simple_loss=0.4253, pruned_loss=0.1709, over 14343.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03652, over 195.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3645, pruned_loss=0.1188, over 2776953.82 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07205, over 46031.89 utterances.], batch size: 195, lr: 3.57e-04
+2022-09-18 02:47:16,398 INFO [train.py:885] (1/2) Epoch 13, batch 6400, loss[loss=0.2846, simple_loss=0.3543, pruned_loss=0.1074, over 14315.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03842, over 195.00 utterances.], tot_loss[loss=0.3025, simple_loss=0.3653, pruned_loss=0.1199, over 2778427.08 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07033, over 45985.03 utterances.], batch size: 195, lr: 3.57e-04
+2022-09-18 02:47:45,799 INFO [train.py:885] (1/2) Epoch 13, batch 6450, loss[loss=0.327, simple_loss=0.4184, pruned_loss=0.1178, over 13630.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08031, over 477.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3645, pruned_loss=0.1191, over 2784646.32 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06723, over 45147.09 utterances.], batch size: 477, lr: 3.57e-04
+2022-09-18 02:48:15,618 INFO [train.py:885] (1/2) Epoch 13, batch 6500, loss[loss=0.16, simple_loss=0.2294, pruned_loss=0.04533, over 13031.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.1264, over 33.00 utterances.], tot_loss[loss=0.3019, simple_loss=0.365, pruned_loss=0.1194, over 2783151.60 frames. utt_duration=244.6 frames, utt_pad_proportion=0.06971, over 45785.51 utterances.], batch size: 33, lr: 3.57e-04
+2022-09-18 02:48:45,242 INFO [train.py:885] (1/2) Epoch 13, batch 6550, loss[loss=0.1947, simple_loss=0.2752, pruned_loss=0.05703, over 13939.00 frames. utt_duration=809.5 frames, utt_pad_proportion=0.05765, over 69.00 utterances.], tot_loss[loss=0.3, simple_loss=0.3632, pruned_loss=0.1184, over 2787274.88 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06799, over 45564.48 utterances.], batch size: 69, lr: 3.57e-04
+2022-09-18 02:49:15,202 INFO [train.py:885] (1/2) Epoch 13, batch 6600, loss[loss=0.2971, simple_loss=0.3333, pruned_loss=0.1305, over 14036.00 frames. utt_duration=574.5 frames, utt_pad_proportion=0.05658, over 98.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3599, pruned_loss=0.1167, over 2787921.42 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06629, over 43622.38 utterances.], batch size: 98, lr: 3.57e-04
+2022-09-18 02:49:44,751 INFO [train.py:885] (1/2) Epoch 13, batch 6650, loss[loss=0.3656, simple_loss=0.4182, pruned_loss=0.1565, over 14169.00 frames. utt_duration=186.9 frames, utt_pad_proportion=0.04659, over 306.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3607, pruned_loss=0.1162, over 2785326.43 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06631, over 44987.04 utterances.], batch size: 306, lr: 3.57e-04
+2022-09-18 02:50:14,058 INFO [train.py:885] (1/2) Epoch 13, batch 6700, loss[loss=0.3352, simple_loss=0.3909, pruned_loss=0.1398, over 14256.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04189, over 225.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3561, pruned_loss=0.1137, over 2786768.96 frames. utt_duration=262.6 frames, utt_pad_proportion=0.06425, over 42692.03 utterances.], batch size: 225, lr: 3.57e-04
+2022-09-18 02:50:43,392 INFO [train.py:885] (1/2) Epoch 13, batch 6750, loss[loss=0.407, simple_loss=0.4488, pruned_loss=0.1826, over 14297.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04088, over 262.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3582, pruned_loss=0.1151, over 2788843.15 frames. utt_duration=259.7 frames, utt_pad_proportion=0.06542, over 43196.32 utterances.], batch size: 262, lr: 3.57e-04
+2022-09-18 02:51:13,956 INFO [train.py:885] (1/2) Epoch 13, batch 6800, loss[loss=0.2053, simple_loss=0.2644, pruned_loss=0.07307, over 13994.00 frames. utt_duration=801.2 frames, utt_pad_proportion=0.06404, over 70.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3574, pruned_loss=0.1146, over 2781753.18 frames. utt_duration=260.5 frames, utt_pad_proportion=0.06757, over 42960.43 utterances.], batch size: 70, lr: 3.57e-04
+2022-09-18 02:51:43,300 INFO [train.py:885] (1/2) Epoch 13, batch 6850, loss[loss=0.4314, simple_loss=0.4568, pruned_loss=0.203, over 14355.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.0373, over 244.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3616, pruned_loss=0.1168, over 2781772.25 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06901, over 44185.35 utterances.], batch size: 244, lr: 3.56e-04
+2022-09-18 02:52:12,833 INFO [train.py:885] (1/2) Epoch 13, batch 6900, loss[loss=0.359, simple_loss=0.4056, pruned_loss=0.1562, over 14279.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04152, over 262.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3617, pruned_loss=0.1172, over 2780050.89 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07068, over 43847.29 utterances.], batch size: 262, lr: 3.56e-04
+2022-09-18 02:52:41,826 INFO [train.py:885] (1/2) Epoch 13, batch 6950, loss[loss=0.2935, simple_loss=0.3679, pruned_loss=0.1095, over 14343.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03946, over 167.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3613, pruned_loss=0.1168, over 2783947.85 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06904, over 44303.93 utterances.], batch size: 167, lr: 3.56e-04
+2022-09-18 02:53:11,539 INFO [train.py:885] (1/2) Epoch 13, batch 7000, loss[loss=0.2034, simple_loss=0.2599, pruned_loss=0.07346, over 13874.00 frames. utt_duration=926.6 frames, utt_pad_proportion=0.0697, over 60.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3595, pruned_loss=0.1152, over 2783991.26 frames. utt_duration=254 frames, utt_pad_proportion=0.06919, over 44103.33 utterances.], batch size: 60, lr: 3.56e-04
+2022-09-18 02:53:40,712 INFO [train.py:885] (1/2) Epoch 13, batch 7050, loss[loss=0.2461, simple_loss=0.3039, pruned_loss=0.09415, over 14181.00 frames. utt_duration=638.9 frames, utt_pad_proportion=0.04647, over 89.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3633, pruned_loss=0.1164, over 2778554.30 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07263, over 46347.20 utterances.], batch size: 89, lr: 3.56e-04
+2022-09-18 02:54:09,995 INFO [train.py:885] (1/2) Epoch 13, batch 7100, loss[loss=0.2997, simple_loss=0.3549, pruned_loss=0.1223, over 14181.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04691, over 89.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3616, pruned_loss=0.1159, over 2778169.07 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07194, over 45367.83 utterances.], batch size: 89, lr: 3.56e-04
+2022-09-18 02:54:39,686 INFO [train.py:885] (1/2) Epoch 13, batch 7150, loss[loss=0.4119, simple_loss=0.471, pruned_loss=0.1765, over 13637.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08071, over 477.00 utterances.], tot_loss[loss=0.3003, simple_loss=0.3658, pruned_loss=0.1174, over 2775218.74 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07444, over 47423.30 utterances.], batch size: 477, lr: 3.56e-04
+2022-09-18 02:55:16,037 INFO [train.py:885] (1/2) Epoch 13, batch 7200, loss[loss=0.1911, simple_loss=0.2608, pruned_loss=0.06072, over 14054.00 frames. utt_duration=712.9 frames, utt_pad_proportion=0.05571, over 79.00 utterances.], tot_loss[loss=0.3012, simple_loss=0.3663, pruned_loss=0.118, over 2779724.25 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07285, over 47398.20 utterances.], batch size: 79, lr: 3.56e-04
+2022-09-18 02:55:45,597 INFO [train.py:885] (1/2) Epoch 13, batch 7250, loss[loss=0.2602, simple_loss=0.3272, pruned_loss=0.09658, over 14275.00 frames. utt_duration=477.1 frames, utt_pad_proportion=0.04193, over 120.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3643, pruned_loss=0.1167, over 2781389.62 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07134, over 46547.74 utterances.], batch size: 120, lr: 3.56e-04
+2022-09-18 02:56:14,925 INFO [train.py:885] (1/2) Epoch 13, batch 7300, loss[loss=0.7121, simple_loss=0.7251, pruned_loss=0.3495, over 12505.00 frames. utt_duration=63.27 frames, utt_pad_proportion=0.145, over 811.00 utterances.], tot_loss[loss=0.3032, simple_loss=0.3677, pruned_loss=0.1193, over 2778216.52 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07347, over 47452.44 utterances.], batch size: 811, lr: 3.56e-04
+2022-09-18 02:56:43,757 INFO [train.py:885] (1/2) Epoch 13, batch 7350, loss[loss=0.2976, simple_loss=0.3702, pruned_loss=0.1125, over 14366.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03781, over 167.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.3619, pruned_loss=0.1168, over 2782097.79 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07051, over 44697.43 utterances.], batch size: 167, lr: 3.56e-04
+2022-09-18 02:57:13,612 INFO [train.py:885] (1/2) Epoch 13, batch 7400, loss[loss=0.2145, simple_loss=0.2872, pruned_loss=0.07083, over 14215.00 frames. utt_duration=640.4 frames, utt_pad_proportion=0.04561, over 89.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3601, pruned_loss=0.1159, over 2781300.16 frames. utt_duration=254 frames, utt_pad_proportion=0.071, over 44052.41 utterances.], batch size: 89, lr: 3.56e-04
+2022-09-18 02:57:43,534 INFO [train.py:885] (1/2) Epoch 13, batch 7450, loss[loss=0.2995, simple_loss=0.3479, pruned_loss=0.1256, over 14146.00 frames. utt_duration=637.2 frames, utt_pad_proportion=0.0489, over 89.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3603, pruned_loss=0.1151, over 2782289.89 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07101, over 44772.56 utterances.], batch size: 89, lr: 3.56e-04
+2022-09-18 02:58:12,808 INFO [train.py:885] (1/2) Epoch 13, batch 7500, loss[loss=0.2168, simple_loss=0.2762, pruned_loss=0.07872, over 14063.00 frames. utt_duration=713.5 frames, utt_pad_proportion=0.05619, over 79.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3607, pruned_loss=0.1155, over 2781379.83 frames. utt_duration=251 frames, utt_pad_proportion=0.07079, over 44590.71 utterances.], batch size: 79, lr: 3.56e-04
+2022-09-18 02:58:42,528 INFO [train.py:885] (1/2) Epoch 13, batch 7550, loss[loss=0.1898, simple_loss=0.2553, pruned_loss=0.06211, over 13735.00 frames. utt_duration=916.9 frames, utt_pad_proportion=0.07567, over 60.00 utterances.], tot_loss[loss=0.2985, simple_loss=0.3628, pruned_loss=0.1171, over 2780353.09 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07144, over 45081.89 utterances.], batch size: 60, lr: 3.56e-04
+2022-09-18 02:59:11,672 INFO [train.py:885] (1/2) Epoch 13, batch 7600, loss[loss=0.3455, simple_loss=0.4315, pruned_loss=0.1297, over 13732.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07381, over 411.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.362, pruned_loss=0.1166, over 2784316.08 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07071, over 44585.57 utterances.], batch size: 411, lr: 3.56e-04
+2022-09-18 02:59:41,384 INFO [train.py:885] (1/2) Epoch 13, batch 7650, loss[loss=0.2561, simple_loss=0.3284, pruned_loss=0.09194, over 14199.00 frames. utt_duration=522.5 frames, utt_pad_proportion=0.04298, over 109.00 utterances.], tot_loss[loss=0.298, simple_loss=0.3618, pruned_loss=0.1171, over 2783160.53 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07259, over 44536.66 utterances.], batch size: 109, lr: 3.56e-04
+2022-09-18 03:00:10,846 INFO [train.py:885] (1/2) Epoch 13, batch 7700, loss[loss=0.2866, simple_loss=0.3519, pruned_loss=0.1107, over 14304.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03841, over 130.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3597, pruned_loss=0.1159, over 2779546.51 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07263, over 44493.24 utterances.], batch size: 130, lr: 3.56e-04
+2022-09-18 03:00:40,560 INFO [train.py:885] (1/2) Epoch 13, batch 7750, loss[loss=0.2885, simple_loss=0.3659, pruned_loss=0.1055, over 14294.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.0405, over 283.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3593, pruned_loss=0.1159, over 2780630.19 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07065, over 44332.87 utterances.], batch size: 283, lr: 3.55e-04
+2022-09-18 03:01:09,954 INFO [train.py:885] (1/2) Epoch 13, batch 7800, loss[loss=0.3861, simple_loss=0.4376, pruned_loss=0.1673, over 13972.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05728, over 365.00 utterances.], tot_loss[loss=0.2977, simple_loss=0.362, pruned_loss=0.1167, over 2778578.63 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07106, over 45857.80 utterances.], batch size: 365, lr: 3.55e-04
+2022-09-18 03:01:40,240 INFO [train.py:885] (1/2) Epoch 13, batch 7850, loss[loss=0.2661, simple_loss=0.3338, pruned_loss=0.09919, over 14298.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04018, over 120.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3631, pruned_loss=0.1174, over 2775535.36 frames. utt_duration=241 frames, utt_pad_proportion=0.07451, over 46344.80 utterances.], batch size: 120, lr: 3.55e-04
+2022-09-18 03:02:09,178 INFO [train.py:885] (1/2) Epoch 13, batch 7900, loss[loss=0.2531, simple_loss=0.3161, pruned_loss=0.09508, over 14164.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04518, over 109.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3594, pruned_loss=0.1157, over 2781875.35 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07091, over 44163.91 utterances.], batch size: 109, lr: 3.55e-04
+2022-09-18 03:02:38,961 INFO [train.py:885] (1/2) Epoch 13, batch 7950, loss[loss=0.2652, simple_loss=0.338, pruned_loss=0.0962, over 14299.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.03816, over 130.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3594, pruned_loss=0.1157, over 2784675.03 frames. utt_duration=254.6 frames, utt_pad_proportion=0.0701, over 44005.08 utterances.], batch size: 130, lr: 3.55e-04
+2022-09-18 03:03:08,645 INFO [train.py:885] (1/2) Epoch 13, batch 8000, loss[loss=0.2088, simple_loss=0.2737, pruned_loss=0.072, over 14023.00 frames. utt_duration=936.1 frames, utt_pad_proportion=0.06014, over 60.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3657, pruned_loss=0.1183, over 2777412.87 frames. utt_duration=236.9 frames, utt_pad_proportion=0.074, over 47195.39 utterances.], batch size: 60, lr: 3.55e-04
+2022-09-18 03:03:37,815 INFO [train.py:885] (1/2) Epoch 13, batch 8050, loss[loss=0.2517, simple_loss=0.3211, pruned_loss=0.0911, over 14372.00 frames. utt_duration=524.1 frames, utt_pad_proportion=0.03837, over 110.00 utterances.], tot_loss[loss=0.3025, simple_loss=0.3671, pruned_loss=0.1189, over 2775773.49 frames. utt_duration=232.8 frames, utt_pad_proportion=0.0757, over 47993.87 utterances.], batch size: 110, lr: 3.55e-04
+2022-09-18 03:04:07,237 INFO [train.py:885] (1/2) Epoch 13, batch 8100, loss[loss=0.495, simple_loss=0.5029, pruned_loss=0.2436, over 14184.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04552, over 306.00 utterances.], tot_loss[loss=0.3027, simple_loss=0.3671, pruned_loss=0.1192, over 2782076.43 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07222, over 47476.17 utterances.], batch size: 306, lr: 3.55e-04
+2022-09-18 03:04:37,135 INFO [train.py:885] (1/2) Epoch 13, batch 8150, loss[loss=0.238, simple_loss=0.3013, pruned_loss=0.08741, over 14072.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05491, over 98.00 utterances.], tot_loss[loss=0.3032, simple_loss=0.3676, pruned_loss=0.1194, over 2781208.38 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07242, over 48349.23 utterances.], batch size: 98, lr: 3.55e-04
+2022-09-18 03:05:06,542 INFO [train.py:885] (1/2) Epoch 13, batch 8200, loss[loss=0.2682, simple_loss=0.3334, pruned_loss=0.1015, over 14326.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03829, over 120.00 utterances.], tot_loss[loss=0.3013, simple_loss=0.3657, pruned_loss=0.1184, over 2783315.81 frames. utt_duration=237.8 frames, utt_pad_proportion=0.0708, over 47118.07 utterances.], batch size: 120, lr: 3.55e-04
+2022-09-18 03:05:36,049 INFO [train.py:885] (1/2) Epoch 13, batch 8250, loss[loss=0.2082, simple_loss=0.2466, pruned_loss=0.08488, over 13220.00 frames. utt_duration=1604 frames, utt_pad_proportion=0.1122, over 33.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.3627, pruned_loss=0.1175, over 2780680.02 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07201, over 45710.77 utterances.], batch size: 33, lr: 3.55e-04
+2022-09-18 03:06:11,939 INFO [train.py:885] (1/2) Epoch 13, batch 8300, loss[loss=0.6252, simple_loss=0.6632, pruned_loss=0.2936, over 12549.00 frames. utt_duration=63.49 frames, utt_pad_proportion=0.1421, over 810.00 utterances.], tot_loss[loss=0.3005, simple_loss=0.3646, pruned_loss=0.1181, over 2778107.67 frames. utt_duration=241 frames, utt_pad_proportion=0.07368, over 46393.48 utterances.], batch size: 810, lr: 3.55e-04
+2022-09-18 03:06:41,515 INFO [train.py:885] (1/2) Epoch 13, batch 8350, loss[loss=0.1936, simple_loss=0.2811, pruned_loss=0.05308, over 13759.00 frames. utt_duration=1312 frames, utt_pad_proportion=0.08143, over 42.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.3619, pruned_loss=0.1168, over 2781220.21 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07156, over 45323.25 utterances.], batch size: 42, lr: 3.55e-04
+2022-09-18 03:07:10,904 INFO [train.py:885] (1/2) Epoch 13, batch 8400, loss[loss=0.2994, simple_loss=0.3792, pruned_loss=0.1098, over 14019.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05443, over 365.00 utterances.], tot_loss[loss=0.2996, simple_loss=0.364, pruned_loss=0.1176, over 2776429.20 frames. utt_duration=238 frames, utt_pad_proportion=0.07319, over 46960.56 utterances.], batch size: 365, lr: 3.55e-04
+2022-09-18 03:07:40,428 INFO [train.py:885] (1/2) Epoch 13, batch 8450, loss[loss=0.2593, simple_loss=0.3349, pruned_loss=0.09185, over 14258.00 frames. utt_duration=372 frames, utt_pad_proportion=0.04135, over 154.00 utterances.], tot_loss[loss=0.3033, simple_loss=0.3679, pruned_loss=0.1193, over 2780358.33 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07262, over 48193.03 utterances.], batch size: 154, lr: 3.55e-04
+2022-09-18 03:08:09,546 INFO [train.py:885] (1/2) Epoch 13, batch 8500, loss[loss=0.2699, simple_loss=0.3322, pruned_loss=0.1038, over 14228.00 frames. utt_duration=439.4 frames, utt_pad_proportion=0.04263, over 130.00 utterances.], tot_loss[loss=0.3026, simple_loss=0.3662, pruned_loss=0.1194, over 2781682.10 frames. utt_duration=244.2 frames, utt_pad_proportion=0.06994, over 45849.21 utterances.], batch size: 130, lr: 3.55e-04
+2022-09-18 03:08:39,497 INFO [train.py:885] (1/2) Epoch 13, batch 8550, loss[loss=0.2776, simple_loss=0.3297, pruned_loss=0.1128, over 14056.00 frames. utt_duration=574.9 frames, utt_pad_proportion=0.05593, over 98.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3636, pruned_loss=0.1181, over 2776669.69 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07112, over 45075.15 utterances.], batch size: 98, lr: 3.55e-04
+2022-09-18 03:09:09,399 INFO [train.py:885] (1/2) Epoch 13, batch 8600, loss[loss=0.1733, simple_loss=0.239, pruned_loss=0.05385, over 13231.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.09566, over 33.00 utterances.], tot_loss[loss=0.3005, simple_loss=0.3646, pruned_loss=0.1182, over 2775549.43 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07286, over 46069.09 utterances.], batch size: 33, lr: 3.55e-04
+2022-09-18 03:09:38,689 INFO [train.py:885] (1/2) Epoch 13, batch 8650, loss[loss=0.3108, simple_loss=0.3642, pruned_loss=0.1287, over 14389.00 frames. utt_duration=346 frames, utt_pad_proportion=0.03611, over 167.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3636, pruned_loss=0.1184, over 2779008.57 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07119, over 45335.39 utterances.], batch size: 167, lr: 3.54e-04
+2022-09-18 03:10:09,042 INFO [train.py:885] (1/2) Epoch 13, batch 8700, loss[loss=0.3919, simple_loss=0.4853, pruned_loss=0.1493, over 13168.00 frames. utt_duration=82.21 frames, utt_pad_proportion=0.1064, over 653.00 utterances.], tot_loss[loss=0.3003, simple_loss=0.3644, pruned_loss=0.1181, over 2776250.36 frames. utt_duration=240 frames, utt_pad_proportion=0.07282, over 46555.39 utterances.], batch size: 653, lr: 3.54e-04
+2022-09-18 03:10:38,327 INFO [train.py:885] (1/2) Epoch 13, batch 8750, loss[loss=0.3663, simple_loss=0.4292, pruned_loss=0.1517, over 13983.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05657, over 365.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3651, pruned_loss=0.1185, over 2777503.74 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0725, over 46637.17 utterances.], batch size: 365, lr: 3.54e-04
+2022-09-18 03:11:08,399 INFO [train.py:885] (1/2) Epoch 13, batch 8800, loss[loss=0.1757, simple_loss=0.2248, pruned_loss=0.06332, over 13433.00 frames. utt_duration=1076 frames, utt_pad_proportion=0.08874, over 50.00 utterances.], tot_loss[loss=0.3026, simple_loss=0.3666, pruned_loss=0.1193, over 2780103.72 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07113, over 47200.88 utterances.], batch size: 50, lr: 3.54e-04
+2022-09-18 03:11:36,753 INFO [train.py:885] (1/2) Epoch 13, batch 8850, loss[loss=0.2845, simple_loss=0.3463, pruned_loss=0.1114, over 14278.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.0443, over 110.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3653, pruned_loss=0.1188, over 2786374.45 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06854, over 45994.58 utterances.], batch size: 110, lr: 3.54e-04
+2022-09-18 03:12:07,418 INFO [train.py:885] (1/2) Epoch 13, batch 8900, loss[loss=0.3043, simple_loss=0.3702, pruned_loss=0.1192, over 14281.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03964, over 180.00 utterances.], tot_loss[loss=0.3023, simple_loss=0.3656, pruned_loss=0.1195, over 2782080.68 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07079, over 46381.04 utterances.], batch size: 180, lr: 3.54e-04
+2022-09-18 03:12:36,498 INFO [train.py:885] (1/2) Epoch 13, batch 8950, loss[loss=0.2851, simple_loss=0.3383, pruned_loss=0.1159, over 14130.00 frames. utt_duration=578.3 frames, utt_pad_proportion=0.05035, over 98.00 utterances.], tot_loss[loss=0.3005, simple_loss=0.3634, pruned_loss=0.1188, over 2779046.15 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07091, over 45192.09 utterances.], batch size: 98, lr: 3.54e-04
+2022-09-18 03:13:06,278 INFO [train.py:885] (1/2) Epoch 13, batch 9000, loss[loss=0.2592, simple_loss=0.3411, pruned_loss=0.08865, over 14340.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03945, over 167.00 utterances.], tot_loss[loss=0.2997, simple_loss=0.363, pruned_loss=0.1182, over 2778920.44 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07123, over 45667.77 utterances.], batch size: 167, lr: 3.54e-04
+2022-09-18 03:13:06,279 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 03:13:10,459 INFO [train.py:914] (1/2) Epoch 13, validation: loss=0.1998, simple_loss=0.2787, pruned_loss=0.06045, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 03:13:40,196 INFO [train.py:885] (1/2) Epoch 13, batch 9050, loss[loss=0.2747, simple_loss=0.343, pruned_loss=0.1031, over 14334.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03643, over 130.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3597, pruned_loss=0.1156, over 2779180.70 frames. utt_duration=250.1 frames, utt_pad_proportion=0.0705, over 44707.68 utterances.], batch size: 130, lr: 3.54e-04
+2022-09-18 03:14:09,787 INFO [train.py:885] (1/2) Epoch 13, batch 9100, loss[loss=0.3541, simple_loss=0.4207, pruned_loss=0.1437, over 14312.00 frames. utt_duration=274 frames, utt_pad_proportion=0.0387, over 210.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3587, pruned_loss=0.1149, over 2777216.77 frames. utt_duration=254 frames, utt_pad_proportion=0.06992, over 43998.41 utterances.], batch size: 210, lr: 3.54e-04
+2022-09-18 03:14:39,586 INFO [train.py:885] (1/2) Epoch 13, batch 9150, loss[loss=0.5942, simple_loss=0.6452, pruned_loss=0.2716, over 12401.00 frames. utt_duration=62.82 frames, utt_pad_proportion=0.151, over 810.00 utterances.], tot_loss[loss=0.2964, simple_loss=0.3611, pruned_loss=0.1158, over 2781171.54 frames. utt_duration=251 frames, utt_pad_proportion=0.06925, over 44587.11 utterances.], batch size: 810, lr: 3.54e-04
+2022-09-18 03:15:09,021 INFO [train.py:885] (1/2) Epoch 13, batch 9200, loss[loss=0.1905, simple_loss=0.2632, pruned_loss=0.05894, over 13875.00 frames. utt_duration=926.5 frames, utt_pad_proportion=0.06883, over 60.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3595, pruned_loss=0.1153, over 2785198.52 frames. utt_duration=256.8 frames, utt_pad_proportion=0.06772, over 43625.77 utterances.], batch size: 60, lr: 3.54e-04
+2022-09-18 03:15:39,179 INFO [train.py:885] (1/2) Epoch 13, batch 9250, loss[loss=0.4008, simple_loss=0.4958, pruned_loss=0.1529, over 13134.00 frames. utt_duration=81.94 frames, utt_pad_proportion=0.1094, over 653.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3605, pruned_loss=0.1163, over 2777779.28 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07173, over 45005.31 utterances.], batch size: 653, lr: 3.54e-04
+2022-09-18 03:16:07,912 INFO [train.py:885] (1/2) Epoch 13, batch 9300, loss[loss=0.2535, simple_loss=0.3314, pruned_loss=0.08781, over 14357.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03836, over 167.00 utterances.], tot_loss[loss=0.2977, simple_loss=0.3614, pruned_loss=0.117, over 2775799.89 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07301, over 45183.02 utterances.], batch size: 167, lr: 3.54e-04
+2022-09-18 03:16:38,005 INFO [train.py:885] (1/2) Epoch 13, batch 9350, loss[loss=0.2018, simple_loss=0.2696, pruned_loss=0.06696, over 13995.00 frames. utt_duration=710 frames, utt_pad_proportion=0.06081, over 79.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3609, pruned_loss=0.1165, over 2775221.20 frames. utt_duration=246 frames, utt_pad_proportion=0.07274, over 45403.61 utterances.], batch size: 79, lr: 3.54e-04
+2022-09-18 03:17:07,981 INFO [train.py:885] (1/2) Epoch 13, batch 9400, loss[loss=0.3438, simple_loss=0.4216, pruned_loss=0.133, over 13782.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07074, over 411.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3612, pruned_loss=0.1167, over 2776616.07 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07379, over 45320.01 utterances.], batch size: 411, lr: 3.54e-04
+2022-09-18 03:17:36,855 INFO [train.py:885] (1/2) Epoch 13, batch 9450, loss[loss=0.7622, simple_loss=0.7558, pruned_loss=0.3843, over 12450.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1477, over 810.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.3657, pruned_loss=0.119, over 2774197.20 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07667, over 47203.07 utterances.], batch size: 810, lr: 3.54e-04
+2022-09-18 03:18:06,882 INFO [train.py:885] (1/2) Epoch 13, batch 9500, loss[loss=0.32, simple_loss=0.3804, pruned_loss=0.1298, over 14272.00 frames. utt_duration=343.3 frames, utt_pad_proportion=0.04377, over 167.00 utterances.], tot_loss[loss=0.2997, simple_loss=0.3646, pruned_loss=0.1174, over 2774910.18 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07729, over 47372.82 utterances.], batch size: 167, lr: 3.54e-04
+2022-09-18 03:18:36,181 INFO [train.py:885] (1/2) Epoch 13, batch 9550, loss[loss=0.2099, simple_loss=0.2715, pruned_loss=0.07414, over 14086.00 frames. utt_duration=714.5 frames, utt_pad_proportion=0.0549, over 79.00 utterances.], tot_loss[loss=0.2987, simple_loss=0.3629, pruned_loss=0.1172, over 2771765.61 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07786, over 46669.30 utterances.], batch size: 79, lr: 3.53e-04
+2022-09-18 03:19:06,081 INFO [train.py:885] (1/2) Epoch 13, batch 9600, loss[loss=0.3289, simple_loss=0.3791, pruned_loss=0.1393, over 14355.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03836, over 167.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3629, pruned_loss=0.1176, over 2776707.05 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07562, over 45888.81 utterances.], batch size: 167, lr: 3.53e-04
+2022-09-18 03:19:35,930 INFO [train.py:885] (1/2) Epoch 13, batch 9650, loss[loss=0.2733, simple_loss=0.3542, pruned_loss=0.09622, over 14346.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03404, over 244.00 utterances.], tot_loss[loss=0.3059, simple_loss=0.3697, pruned_loss=0.1211, over 2780541.48 frames. utt_duration=229.4 frames, utt_pad_proportion=0.07509, over 48809.39 utterances.], batch size: 244, lr: 3.53e-04
+2022-09-18 03:20:06,431 INFO [train.py:885] (1/2) Epoch 13, batch 9700, loss[loss=0.2032, simple_loss=0.2573, pruned_loss=0.07455, over 13725.00 frames. utt_duration=916.5 frames, utt_pad_proportion=0.07523, over 60.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3663, pruned_loss=0.12, over 2781600.90 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07276, over 47216.06 utterances.], batch size: 60, lr: 3.53e-04
+2022-09-18 03:20:43,423 INFO [train.py:885] (1/2) Epoch 13, batch 9750, loss[loss=0.1989, simple_loss=0.2759, pruned_loss=0.06096, over 14021.00 frames. utt_duration=711.4 frames, utt_pad_proportion=0.059, over 79.00 utterances.], tot_loss[loss=0.3031, simple_loss=0.3664, pruned_loss=0.12, over 2780999.75 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07338, over 47062.03 utterances.], batch size: 79, lr: 3.53e-04
+2022-09-18 03:21:12,924 INFO [train.py:885] (1/2) Epoch 13, batch 9800, loss[loss=0.3301, simple_loss=0.3871, pruned_loss=0.1365, over 14363.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03729, over 244.00 utterances.], tot_loss[loss=0.301, simple_loss=0.3644, pruned_loss=0.1189, over 2779367.31 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07346, over 46247.02 utterances.], batch size: 244, lr: 3.53e-04
+2022-09-18 03:21:42,800 INFO [train.py:885] (1/2) Epoch 13, batch 9850, loss[loss=0.3534, simple_loss=0.4059, pruned_loss=0.1505, over 14331.00 frames. utt_duration=204 frames, utt_pad_proportion=0.0379, over 283.00 utterances.], tot_loss[loss=0.3035, simple_loss=0.3681, pruned_loss=0.1195, over 2780717.26 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07445, over 48308.31 utterances.], batch size: 283, lr: 3.53e-04
+2022-09-18 03:22:12,180 INFO [train.py:885] (1/2) Epoch 13, batch 9900, loss[loss=0.2641, simple_loss=0.345, pruned_loss=0.09162, over 14297.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03877, over 180.00 utterances.], tot_loss[loss=0.3009, simple_loss=0.3661, pruned_loss=0.1179, over 2786356.07 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07229, over 47505.90 utterances.], batch size: 180, lr: 3.53e-04
+2022-09-18 03:22:41,650 INFO [train.py:885] (1/2) Epoch 13, batch 9950, loss[loss=0.1851, simple_loss=0.2439, pruned_loss=0.06309, over 12846.00 frames. utt_duration=1558 frames, utt_pad_proportion=0.1235, over 33.00 utterances.], tot_loss[loss=0.304, simple_loss=0.3683, pruned_loss=0.1199, over 2782736.26 frames. utt_duration=233 frames, utt_pad_proportion=0.07347, over 48068.27 utterances.], batch size: 33, lr: 3.53e-04
+2022-09-18 03:23:11,679 INFO [train.py:885] (1/2) Epoch 13, batch 10000, loss[loss=0.401, simple_loss=0.4715, pruned_loss=0.1652, over 13644.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07983, over 477.00 utterances.], tot_loss[loss=0.3034, simple_loss=0.3675, pruned_loss=0.1196, over 2781159.08 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07264, over 47221.26 utterances.], batch size: 477, lr: 3.53e-04
+2022-09-18 03:23:41,581 INFO [train.py:885] (1/2) Epoch 13, batch 10050, loss[loss=0.3588, simple_loss=0.4356, pruned_loss=0.141, over 13693.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07665, over 477.00 utterances.], tot_loss[loss=0.3038, simple_loss=0.3687, pruned_loss=0.1195, over 2778169.89 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07399, over 48126.55 utterances.], batch size: 477, lr: 3.53e-04
+2022-09-18 03:24:10,395 INFO [train.py:885] (1/2) Epoch 13, batch 10100, loss[loss=0.2366, simple_loss=0.3024, pruned_loss=0.08544, over 13976.00 frames. utt_duration=709.1 frames, utt_pad_proportion=0.06199, over 79.00 utterances.], tot_loss[loss=0.3041, simple_loss=0.3688, pruned_loss=0.1197, over 2779877.16 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07298, over 48096.37 utterances.], batch size: 79, lr: 3.53e-04
+2022-09-18 03:24:40,485 INFO [train.py:885] (1/2) Epoch 13, batch 10150, loss[loss=0.343, simple_loss=0.429, pruned_loss=0.1284, over 13614.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08293, over 477.00 utterances.], tot_loss[loss=0.302, simple_loss=0.3664, pruned_loss=0.1188, over 2776389.54 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07273, over 47169.92 utterances.], batch size: 477, lr: 3.53e-04
+2022-09-18 03:25:10,054 INFO [train.py:885] (1/2) Epoch 13, batch 10200, loss[loss=0.3888, simple_loss=0.4584, pruned_loss=0.1595, over 13606.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08213, over 477.00 utterances.], tot_loss[loss=0.2972, simple_loss=0.3626, pruned_loss=0.1159, over 2779191.28 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07111, over 46190.31 utterances.], batch size: 477, lr: 3.53e-04
+2022-09-18 03:25:39,772 INFO [train.py:885] (1/2) Epoch 13, batch 10250, loss[loss=0.3202, simple_loss=0.4035, pruned_loss=0.1184, over 13991.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05693, over 365.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3646, pruned_loss=0.1179, over 2778486.21 frames. utt_duration=242.7 frames, utt_pad_proportion=0.06979, over 46074.78 utterances.], batch size: 365, lr: 3.53e-04
+2022-09-18 03:26:08,767 INFO [train.py:885] (1/2) Epoch 13, batch 10300, loss[loss=0.442, simple_loss=0.491, pruned_loss=0.1965, over 13937.00 frames. utt_duration=154.1 frames, utt_pad_proportion=0.06036, over 365.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3649, pruned_loss=0.1177, over 2778469.01 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07137, over 46509.63 utterances.], batch size: 365, lr: 3.53e-04
+2022-09-18 03:26:38,569 INFO [train.py:885] (1/2) Epoch 13, batch 10350, loss[loss=0.2232, simple_loss=0.28, pruned_loss=0.08315, over 14079.00 frames. utt_duration=714.3 frames, utt_pad_proportion=0.05385, over 79.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3631, pruned_loss=0.1173, over 2781094.65 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06938, over 45247.34 utterances.], batch size: 79, lr: 3.53e-04
+2022-09-18 03:27:08,179 INFO [train.py:885] (1/2) Epoch 13, batch 10400, loss[loss=0.3949, simple_loss=0.4462, pruned_loss=0.1718, over 13993.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05626, over 365.00 utterances.], tot_loss[loss=0.297, simple_loss=0.362, pruned_loss=0.116, over 2781090.77 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06873, over 46017.42 utterances.], batch size: 365, lr: 3.53e-04
+2022-09-18 03:27:38,199 INFO [train.py:885] (1/2) Epoch 13, batch 10450, loss[loss=0.2213, simple_loss=0.2685, pruned_loss=0.087, over 12881.00 frames. utt_duration=2062 frames, utt_pad_proportion=0.1341, over 25.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3591, pruned_loss=0.1154, over 2777875.64 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06957, over 44583.11 utterances.], batch size: 25, lr: 3.52e-04
+2022-09-18 03:28:07,651 INFO [train.py:885] (1/2) Epoch 13, batch 10500, loss[loss=0.2154, simple_loss=0.2937, pruned_loss=0.06859, over 13013.00 frames. utt_duration=1579 frames, utt_pad_proportion=0.1175, over 33.00 utterances.], tot_loss[loss=0.2972, simple_loss=0.3626, pruned_loss=0.1159, over 2774360.90 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07136, over 46805.92 utterances.], batch size: 33, lr: 3.52e-04
+2022-09-18 03:28:37,262 INFO [train.py:885] (1/2) Epoch 13, batch 10550, loss[loss=0.2324, simple_loss=0.3066, pruned_loss=0.07913, over 14314.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.0408, over 120.00 utterances.], tot_loss[loss=0.2963, simple_loss=0.3619, pruned_loss=0.1153, over 2781038.60 frames. utt_duration=239.5 frames, utt_pad_proportion=0.06872, over 46730.15 utterances.], batch size: 120, lr: 3.52e-04
+2022-09-18 03:29:06,563 INFO [train.py:885] (1/2) Epoch 13, batch 10600, loss[loss=0.2663, simple_loss=0.3355, pruned_loss=0.09849, over 14278.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.0397, over 130.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.361, pruned_loss=0.1153, over 2776278.64 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07054, over 46660.59 utterances.], batch size: 130, lr: 3.52e-04
+2022-09-18 03:29:36,650 INFO [train.py:885] (1/2) Epoch 13, batch 10650, loss[loss=0.4421, simple_loss=0.4941, pruned_loss=0.1951, over 13788.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07088, over 411.00 utterances.], tot_loss[loss=0.2972, simple_loss=0.3621, pruned_loss=0.1161, over 2780655.78 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07065, over 46208.84 utterances.], batch size: 411, lr: 3.52e-04
+2022-09-18 03:30:14,419 INFO [train.py:885] (1/2) Epoch 13, batch 10700, loss[loss=0.2997, simple_loss=0.3694, pruned_loss=0.115, over 14379.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03617, over 244.00 utterances.], tot_loss[loss=0.2971, simple_loss=0.3618, pruned_loss=0.1162, over 2786001.81 frames. utt_duration=245.2 frames, utt_pad_proportion=0.069, over 45720.13 utterances.], batch size: 244, lr: 3.52e-04
+2022-09-18 03:30:43,760 INFO [train.py:885] (1/2) Epoch 13, batch 10750, loss[loss=0.3669, simple_loss=0.4101, pruned_loss=0.1618, over 14216.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04335, over 306.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3597, pruned_loss=0.1149, over 2785024.18 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06942, over 45049.92 utterances.], batch size: 306, lr: 3.52e-04
+2022-09-18 03:31:13,697 INFO [train.py:885] (1/2) Epoch 13, batch 10800, loss[loss=0.3035, simple_loss=0.3629, pruned_loss=0.1221, over 14288.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04185, over 154.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3599, pruned_loss=0.115, over 2780854.09 frames. utt_duration=247.1 frames, utt_pad_proportion=0.0709, over 45278.70 utterances.], batch size: 154, lr: 3.52e-04
+2022-09-18 03:31:43,632 INFO [train.py:885] (1/2) Epoch 13, batch 10850, loss[loss=0.1857, simple_loss=0.2517, pruned_loss=0.0598, over 13244.00 frames. utt_duration=1061 frames, utt_pad_proportion=0.1063, over 50.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3605, pruned_loss=0.1151, over 2778075.84 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07341, over 45772.17 utterances.], batch size: 50, lr: 3.52e-04
+2022-09-18 03:32:13,462 INFO [train.py:885] (1/2) Epoch 13, batch 10900, loss[loss=0.2945, simple_loss=0.3466, pruned_loss=0.1212, over 14176.00 frames. utt_duration=580 frames, utt_pad_proportion=0.04759, over 98.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3628, pruned_loss=0.117, over 2780392.67 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07253, over 46187.64 utterances.], batch size: 98, lr: 3.52e-04
+2022-09-18 03:32:42,461 INFO [train.py:885] (1/2) Epoch 13, batch 10950, loss[loss=0.2858, simple_loss=0.3447, pruned_loss=0.1135, over 14164.00 frames. utt_duration=521.5 frames, utt_pad_proportion=0.04491, over 109.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.3607, pruned_loss=0.1158, over 2783516.13 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07075, over 45037.65 utterances.], batch size: 109, lr: 3.52e-04
+2022-09-18 03:33:12,567 INFO [train.py:885] (1/2) Epoch 13, batch 11000, loss[loss=0.2241, simple_loss=0.2751, pruned_loss=0.08654, over 12582.00 frames. utt_duration=2015 frames, utt_pad_proportion=0.1363, over 25.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3615, pruned_loss=0.116, over 2782396.13 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06958, over 45085.73 utterances.], batch size: 25, lr: 3.52e-04
+2022-09-18 03:33:41,972 INFO [train.py:885] (1/2) Epoch 13, batch 11050, loss[loss=0.413, simple_loss=0.4972, pruned_loss=0.1644, over 13202.00 frames. utt_duration=82.42 frames, utt_pad_proportion=0.1042, over 653.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3579, pruned_loss=0.1147, over 2782522.33 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06773, over 43200.46 utterances.], batch size: 653, lr: 3.52e-04
+2022-09-18 03:34:11,934 INFO [train.py:885] (1/2) Epoch 13, batch 11100, loss[loss=0.3691, simple_loss=0.412, pruned_loss=0.1631, over 14327.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03802, over 262.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3589, pruned_loss=0.1149, over 2784770.18 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06743, over 44068.11 utterances.], batch size: 262, lr: 3.52e-04
+2022-09-18 03:34:41,915 INFO [train.py:885] (1/2) Epoch 13, batch 11150, loss[loss=0.3428, simple_loss=0.3992, pruned_loss=0.1432, over 14330.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03883, over 262.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3568, pruned_loss=0.1134, over 2784495.12 frames. utt_duration=260 frames, utt_pad_proportion=0.06738, over 43085.55 utterances.], batch size: 262, lr: 3.52e-04
+2022-09-18 03:35:11,662 INFO [train.py:885] (1/2) Epoch 13, batch 11200, loss[loss=0.331, simple_loss=0.3829, pruned_loss=0.1396, over 14380.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03465, over 210.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3584, pruned_loss=0.1141, over 2788161.90 frames. utt_duration=258.8 frames, utt_pad_proportion=0.06643, over 43339.96 utterances.], batch size: 210, lr: 3.52e-04
+2022-09-18 03:35:41,127 INFO [train.py:885] (1/2) Epoch 13, batch 11250, loss[loss=0.3125, simple_loss=0.3774, pruned_loss=0.1238, over 14379.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03525, over 244.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3611, pruned_loss=0.1152, over 2789472.89 frames. utt_duration=251.1 frames, utt_pad_proportion=0.0662, over 44696.04 utterances.], batch size: 244, lr: 3.52e-04
+2022-09-18 03:36:10,912 INFO [train.py:885] (1/2) Epoch 13, batch 11300, loss[loss=0.2853, simple_loss=0.34, pruned_loss=0.1153, over 14214.00 frames. utt_duration=640.5 frames, utt_pad_proportion=0.04688, over 89.00 utterances.], tot_loss[loss=0.294, simple_loss=0.3593, pruned_loss=0.1144, over 2790051.86 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06714, over 43936.87 utterances.], batch size: 89, lr: 3.52e-04
+2022-09-18 03:36:40,264 INFO [train.py:885] (1/2) Epoch 13, batch 11350, loss[loss=0.2728, simple_loss=0.3498, pruned_loss=0.09792, over 14254.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.04172, over 180.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3602, pruned_loss=0.1146, over 2788687.94 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06733, over 44468.06 utterances.], batch size: 180, lr: 3.52e-04
+2022-09-18 03:37:10,066 INFO [train.py:885] (1/2) Epoch 13, batch 11400, loss[loss=0.2701, simple_loss=0.3357, pruned_loss=0.1022, over 14301.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.03884, over 154.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3622, pruned_loss=0.1163, over 2785811.97 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06804, over 44695.25 utterances.], batch size: 154, lr: 3.51e-04
+2022-09-18 03:37:39,293 INFO [train.py:885] (1/2) Epoch 13, batch 11450, loss[loss=0.3078, simple_loss=0.3897, pruned_loss=0.113, over 13973.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05787, over 365.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3605, pruned_loss=0.116, over 2788818.72 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06765, over 44198.02 utterances.], batch size: 365, lr: 3.51e-04
+2022-09-18 03:38:09,293 INFO [train.py:885] (1/2) Epoch 13, batch 11500, loss[loss=0.3928, simple_loss=0.4353, pruned_loss=0.1751, over 14294.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04068, over 262.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.3587, pruned_loss=0.1151, over 2780693.79 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07082, over 44102.14 utterances.], batch size: 262, lr: 3.51e-04
+2022-09-18 03:38:38,842 INFO [train.py:885] (1/2) Epoch 13, batch 11550, loss[loss=0.3252, simple_loss=0.3851, pruned_loss=0.1327, over 14302.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04095, over 154.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3572, pruned_loss=0.1141, over 2781500.62 frames. utt_duration=257 frames, utt_pad_proportion=0.0707, over 43546.92 utterances.], batch size: 154, lr: 3.51e-04
+2022-09-18 03:39:09,251 INFO [train.py:885] (1/2) Epoch 13, batch 11600, loss[loss=0.2992, simple_loss=0.3794, pruned_loss=0.1095, over 13995.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05628, over 365.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3582, pruned_loss=0.114, over 2784827.98 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06941, over 44059.12 utterances.], batch size: 365, lr: 3.51e-04
+2022-09-18 03:39:38,514 INFO [train.py:885] (1/2) Epoch 13, batch 11650, loss[loss=0.1953, simple_loss=0.2503, pruned_loss=0.07013, over 12107.00 frames. utt_duration=2020 frames, utt_pad_proportion=0.1756, over 24.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3601, pruned_loss=0.1155, over 2786558.34 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06934, over 44475.93 utterances.], batch size: 24, lr: 3.51e-04
+2022-09-18 03:40:08,686 INFO [train.py:885] (1/2) Epoch 13, batch 11700, loss[loss=0.289, simple_loss=0.3727, pruned_loss=0.1027, over 14025.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05673, over 366.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3574, pruned_loss=0.1134, over 2777704.06 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07282, over 45013.77 utterances.], batch size: 366, lr: 3.51e-04
+2022-09-18 03:40:37,857 INFO [train.py:885] (1/2) Epoch 13, batch 11750, loss[loss=0.5351, simple_loss=0.5187, pruned_loss=0.2757, over 14234.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04348, over 335.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3592, pruned_loss=0.1156, over 2779453.88 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07014, over 44494.22 utterances.], batch size: 335, lr: 3.51e-04
+2022-09-18 03:41:16,114 INFO [train.py:885] (1/2) Epoch 13, batch 11800, loss[loss=0.3567, simple_loss=0.4114, pruned_loss=0.1509, over 14366.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03522, over 210.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3588, pruned_loss=0.1149, over 2780837.95 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07058, over 44347.10 utterances.], batch size: 210, lr: 3.51e-04
+2022-09-18 03:41:52,652 INFO [train.py:885] (1/2) Epoch 13, batch 11850, loss[loss=0.3642, simple_loss=0.4656, pruned_loss=0.1314, over 13166.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1062, over 653.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3603, pruned_loss=0.1144, over 2780326.90 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07276, over 45727.54 utterances.], batch size: 653, lr: 3.51e-04
+2022-09-18 03:42:22,557 INFO [train.py:885] (1/2) Epoch 13, batch 11900, loss[loss=0.2701, simple_loss=0.3371, pruned_loss=0.1015, over 14260.00 frames. utt_duration=440.2 frames, utt_pad_proportion=0.03876, over 130.00 utterances.], tot_loss[loss=0.2982, simple_loss=0.3629, pruned_loss=0.1168, over 2780270.60 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07398, over 46103.42 utterances.], batch size: 130, lr: 3.51e-04
+2022-09-18 03:42:51,915 INFO [train.py:885] (1/2) Epoch 13, batch 11950, loss[loss=0.3324, simple_loss=0.4093, pruned_loss=0.1277, over 13812.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07085, over 412.00 utterances.], tot_loss[loss=0.2985, simple_loss=0.3633, pruned_loss=0.1169, over 2782726.53 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07194, over 46137.73 utterances.], batch size: 412, lr: 3.51e-04
+2022-09-18 03:43:21,292 INFO [train.py:885] (1/2) Epoch 13, batch 12000, loss[loss=0.232, simple_loss=0.3164, pruned_loss=0.07378, over 14174.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04456, over 109.00 utterances.], tot_loss[loss=0.298, simple_loss=0.3628, pruned_loss=0.1166, over 2784484.71 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07067, over 45420.05 utterances.], batch size: 109, lr: 3.51e-04
+2022-09-18 03:43:21,293 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 03:43:26,002 INFO [train.py:914] (1/2) Epoch 13, validation: loss=0.196, simple_loss=0.2771, pruned_loss=0.05742, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 03:43:55,389 INFO [train.py:885] (1/2) Epoch 13, batch 12050, loss[loss=0.3345, simple_loss=0.3942, pruned_loss=0.1374, over 14302.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03967, over 283.00 utterances.], tot_loss[loss=0.3018, simple_loss=0.3665, pruned_loss=0.1186, over 2784194.80 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07142, over 47228.55 utterances.], batch size: 283, lr: 3.51e-04
+2022-09-18 03:44:25,484 INFO [train.py:885] (1/2) Epoch 13, batch 12100, loss[loss=0.2741, simple_loss=0.3426, pruned_loss=0.1028, over 14183.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04244, over 109.00 utterances.], tot_loss[loss=0.3014, simple_loss=0.3658, pruned_loss=0.1185, over 2780244.61 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07328, over 47301.93 utterances.], batch size: 109, lr: 3.51e-04
+2022-09-18 03:45:01,694 INFO [train.py:885] (1/2) Epoch 13, batch 12150, loss[loss=0.4116, simple_loss=0.4945, pruned_loss=0.1644, over 13163.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.3003, simple_loss=0.3654, pruned_loss=0.1176, over 2780279.75 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07334, over 47176.06 utterances.], batch size: 653, lr: 3.51e-04
+2022-09-18 03:45:31,367 INFO [train.py:885] (1/2) Epoch 13, batch 12200, loss[loss=0.3006, simple_loss=0.3874, pruned_loss=0.1069, over 13795.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06991, over 411.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.3635, pruned_loss=0.1166, over 2777294.39 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07353, over 46885.09 utterances.], batch size: 411, lr: 3.51e-04
+2022-09-18 03:46:00,570 INFO [train.py:885] (1/2) Epoch 13, batch 12250, loss[loss=0.194, simple_loss=0.2447, pruned_loss=0.07169, over 13562.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.09065, over 42.00 utterances.], tot_loss[loss=0.2969, simple_loss=0.3612, pruned_loss=0.1164, over 2778237.69 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07386, over 45557.88 utterances.], batch size: 42, lr: 3.51e-04
+2022-09-18 03:46:30,514 INFO [train.py:885] (1/2) Epoch 13, batch 12300, loss[loss=0.3743, simple_loss=0.4178, pruned_loss=0.1654, over 14292.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04082, over 262.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3641, pruned_loss=0.1187, over 2776479.46 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07394, over 46660.87 utterances.], batch size: 262, lr: 3.50e-04
+2022-09-18 03:47:00,271 INFO [train.py:885] (1/2) Epoch 13, batch 12350, loss[loss=0.2215, simple_loss=0.2887, pruned_loss=0.07709, over 14036.00 frames. utt_duration=712.3 frames, utt_pad_proportion=0.05785, over 79.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3585, pruned_loss=0.1157, over 2780169.13 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07091, over 44488.05 utterances.], batch size: 79, lr: 3.50e-04
+2022-09-18 03:47:29,659 INFO [train.py:885] (1/2) Epoch 13, batch 12400, loss[loss=0.1792, simple_loss=0.2378, pruned_loss=0.0603, over 13088.00 frames. utt_duration=1588 frames, utt_pad_proportion=0.1095, over 33.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3587, pruned_loss=0.1152, over 2783245.99 frames. utt_duration=253 frames, utt_pad_proportion=0.06842, over 44265.38 utterances.], batch size: 33, lr: 3.50e-04
+2022-09-18 03:47:59,171 INFO [train.py:885] (1/2) Epoch 13, batch 12450, loss[loss=0.3255, simple_loss=0.4156, pruned_loss=0.1177, over 13637.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.0807, over 477.00 utterances.], tot_loss[loss=0.294, simple_loss=0.3587, pruned_loss=0.1147, over 2786242.33 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06704, over 43693.95 utterances.], batch size: 477, lr: 3.50e-04
+2022-09-18 03:48:35,867 INFO [train.py:885] (1/2) Epoch 13, batch 12500, loss[loss=0.2457, simple_loss=0.3147, pruned_loss=0.08831, over 14291.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.03876, over 130.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3603, pruned_loss=0.115, over 2784683.80 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06997, over 44431.00 utterances.], batch size: 130, lr: 3.50e-04
+2022-09-18 03:49:05,857 INFO [train.py:885] (1/2) Epoch 13, batch 12550, loss[loss=0.3593, simple_loss=0.4189, pruned_loss=0.1498, over 14309.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.0396, over 283.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3613, pruned_loss=0.1158, over 2786032.33 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06894, over 44511.24 utterances.], batch size: 283, lr: 3.50e-04
+2022-09-18 03:49:34,350 INFO [train.py:885] (1/2) Epoch 13, batch 12600, loss[loss=0.2614, simple_loss=0.3418, pruned_loss=0.09055, over 14274.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.04002, over 225.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3614, pruned_loss=0.1162, over 2786778.81 frames. utt_duration=251.2 frames, utt_pad_proportion=0.0688, over 44628.08 utterances.], batch size: 225, lr: 3.50e-04
+2022-09-18 03:49:52,538 INFO [train.py:885] (1/2) Epoch 14, batch 0, loss[loss=0.303, simple_loss=0.3741, pruned_loss=0.1159, over 14353.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03729, over 244.00 utterances.], tot_loss[loss=0.303, simple_loss=0.3741, pruned_loss=0.1159, over 14353.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03729, over 244.00 utterances.], batch size: 244, lr: 3.39e-04
+2022-09-18 03:50:24,682 INFO [train.py:885] (1/2) Epoch 14, batch 50, loss[loss=0.2906, simple_loss=0.3565, pruned_loss=0.1123, over 14358.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.0383, over 167.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3531, pruned_loss=0.1158, over 632363.37 frames. utt_duration=297.7 frames, utt_pad_proportion=0.05731, over 8537.45 utterances.], batch size: 167, lr: 3.39e-04
+2022-09-18 03:50:54,264 INFO [train.py:885] (1/2) Epoch 14, batch 100, loss[loss=0.1962, simple_loss=0.2658, pruned_loss=0.06334, over 13462.00 frames. utt_duration=1585 frames, utt_pad_proportion=0.09723, over 34.00 utterances.], tot_loss[loss=0.3023, simple_loss=0.3653, pruned_loss=0.1197, over 1107461.13 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07093, over 18278.25 utterances.], batch size: 34, lr: 3.39e-04
+2022-09-18 03:51:24,434 INFO [train.py:885] (1/2) Epoch 14, batch 150, loss[loss=0.2041, simple_loss=0.2676, pruned_loss=0.07035, over 13853.00 frames. utt_duration=804.4 frames, utt_pad_proportion=0.06357, over 69.00 utterances.], tot_loss[loss=0.3037, simple_loss=0.367, pruned_loss=0.1202, over 1472445.64 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07923, over 25326.13 utterances.], batch size: 69, lr: 3.39e-04
+2022-09-18 03:51:54,035 INFO [train.py:885] (1/2) Epoch 14, batch 200, loss[loss=0.3479, simple_loss=0.4355, pruned_loss=0.1302, over 13624.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08181, over 477.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.366, pruned_loss=0.1181, over 1763130.49 frames. utt_duration=231.8 frames, utt_pad_proportion=0.0753, over 30623.35 utterances.], batch size: 477, lr: 3.39e-04
+2022-09-18 03:52:23,683 INFO [train.py:885] (1/2) Epoch 14, batch 250, loss[loss=0.1864, simple_loss=0.2436, pruned_loss=0.06461, over 12065.00 frames. utt_duration=2012 frames, utt_pad_proportion=0.1622, over 24.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3655, pruned_loss=0.1174, over 1987997.93 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07531, over 34426.25 utterances.], batch size: 24, lr: 3.39e-04
+2022-09-18 03:52:53,349 INFO [train.py:885] (1/2) Epoch 14, batch 300, loss[loss=0.5403, simple_loss=0.6243, pruned_loss=0.2282, over 12492.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1447, over 810.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.3644, pruned_loss=0.1161, over 2165949.64 frames. utt_duration=237 frames, utt_pad_proportion=0.07556, over 36782.41 utterances.], batch size: 810, lr: 3.39e-04
+2022-09-18 03:53:23,028 INFO [train.py:885] (1/2) Epoch 14, batch 350, loss[loss=0.268, simple_loss=0.3459, pruned_loss=0.09502, over 14294.00 frames. utt_duration=343.8 frames, utt_pad_proportion=0.0423, over 167.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3655, pruned_loss=0.1171, over 2304041.97 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07334, over 39442.99 utterances.], batch size: 167, lr: 3.39e-04
+2022-09-18 03:53:52,809 INFO [train.py:885] (1/2) Epoch 14, batch 400, loss[loss=0.311, simple_loss=0.3754, pruned_loss=0.1233, over 14331.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03357, over 210.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.361, pruned_loss=0.1154, over 2405037.77 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07337, over 39873.56 utterances.], batch size: 210, lr: 3.39e-04
+2022-09-18 03:54:22,104 INFO [train.py:885] (1/2) Epoch 14, batch 450, loss[loss=0.3379, simple_loss=0.3972, pruned_loss=0.1393, over 14324.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03812, over 195.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3572, pruned_loss=0.1138, over 2486575.85 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07249, over 39762.17 utterances.], batch size: 195, lr: 3.38e-04
+2022-09-18 03:54:51,208 INFO [train.py:885] (1/2) Epoch 14, batch 500, loss[loss=0.2483, simple_loss=0.2982, pruned_loss=0.09922, over 13870.00 frames. utt_duration=805.6 frames, utt_pad_proportion=0.06219, over 69.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3564, pruned_loss=0.1141, over 2552416.50 frames. utt_duration=257.7 frames, utt_pad_proportion=0.07151, over 39849.37 utterances.], batch size: 69, lr: 3.38e-04
+2022-09-18 03:55:21,835 INFO [train.py:885] (1/2) Epoch 14, batch 550, loss[loss=0.3167, simple_loss=0.3828, pruned_loss=0.1254, over 14310.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03892, over 283.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3589, pruned_loss=0.1153, over 2599717.63 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07258, over 41864.68 utterances.], batch size: 283, lr: 3.38e-04
+2022-09-18 03:55:50,853 INFO [train.py:885] (1/2) Epoch 14, batch 600, loss[loss=0.1757, simple_loss=0.2455, pruned_loss=0.05295, over 13353.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08956, over 41.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3541, pruned_loss=0.1122, over 2639201.06 frames. utt_duration=264.1 frames, utt_pad_proportion=0.06973, over 40199.15 utterances.], batch size: 41, lr: 3.38e-04
+2022-09-18 03:56:20,833 INFO [train.py:885] (1/2) Epoch 14, batch 650, loss[loss=0.3475, simple_loss=0.4081, pruned_loss=0.1434, over 14353.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03599, over 210.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3636, pruned_loss=0.1173, over 2670713.95 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07161, over 44265.33 utterances.], batch size: 210, lr: 3.38e-04
+2022-09-18 03:56:49,959 INFO [train.py:885] (1/2) Epoch 14, batch 700, loss[loss=0.1802, simple_loss=0.2414, pruned_loss=0.05953, over 12465.00 frames. utt_duration=2079 frames, utt_pad_proportion=0.1472, over 24.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3576, pruned_loss=0.1137, over 2698974.65 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06826, over 42069.57 utterances.], batch size: 24, lr: 3.38e-04
+2022-09-18 03:57:19,751 INFO [train.py:885] (1/2) Epoch 14, batch 750, loss[loss=0.3274, simple_loss=0.3901, pruned_loss=0.1324, over 14239.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04296, over 225.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3609, pruned_loss=0.115, over 2712913.07 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07054, over 44470.58 utterances.], batch size: 225, lr: 3.38e-04
+2022-09-18 03:57:49,378 INFO [train.py:885] (1/2) Epoch 14, batch 800, loss[loss=0.3109, simple_loss=0.3621, pruned_loss=0.1298, over 14193.00 frames. utt_duration=522.4 frames, utt_pad_proportion=0.04322, over 109.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.357, pruned_loss=0.1131, over 2725867.64 frames. utt_duration=253 frames, utt_pad_proportion=0.06982, over 43346.15 utterances.], batch size: 109, lr: 3.38e-04
+2022-09-18 03:58:18,671 INFO [train.py:885] (1/2) Epoch 14, batch 850, loss[loss=0.2449, simple_loss=0.3219, pruned_loss=0.08393, over 14311.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03958, over 130.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3605, pruned_loss=0.1151, over 2735992.54 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07089, over 44359.70 utterances.], batch size: 130, lr: 3.38e-04
+2022-09-18 03:58:48,132 INFO [train.py:885] (1/2) Epoch 14, batch 900, loss[loss=0.2832, simple_loss=0.3534, pruned_loss=0.1065, over 14316.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.03766, over 154.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3579, pruned_loss=0.1132, over 2745770.54 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07053, over 44620.48 utterances.], batch size: 154, lr: 3.38e-04
+2022-09-18 03:59:17,422 INFO [train.py:885] (1/2) Epoch 14, batch 950, loss[loss=0.3224, simple_loss=0.4032, pruned_loss=0.1208, over 13780.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07111, over 411.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3572, pruned_loss=0.1138, over 2752709.47 frames. utt_duration=255 frames, utt_pad_proportion=0.0681, over 43435.17 utterances.], batch size: 411, lr: 3.38e-04
+2022-09-18 03:59:46,920 INFO [train.py:885] (1/2) Epoch 14, batch 1000, loss[loss=0.3113, simple_loss=0.3613, pruned_loss=0.1306, over 14312.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.03792, over 154.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3591, pruned_loss=0.1138, over 2757723.10 frames. utt_duration=250.2 frames, utt_pad_proportion=0.0681, over 44346.46 utterances.], batch size: 154, lr: 3.38e-04
+2022-09-18 04:00:16,078 INFO [train.py:885] (1/2) Epoch 14, batch 1050, loss[loss=0.266, simple_loss=0.3429, pruned_loss=0.09458, over 14287.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03959, over 180.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3564, pruned_loss=0.1123, over 2763120.11 frames. utt_duration=258.5 frames, utt_pad_proportion=0.06801, over 43007.02 utterances.], batch size: 180, lr: 3.38e-04
+2022-09-18 04:00:46,676 INFO [train.py:885] (1/2) Epoch 14, batch 1100, loss[loss=0.2591, simple_loss=0.3127, pruned_loss=0.1027, over 13879.00 frames. utt_duration=927 frames, utt_pad_proportion=0.06924, over 60.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3588, pruned_loss=0.114, over 2763544.53 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07085, over 43988.96 utterances.], batch size: 60, lr: 3.38e-04
+2022-09-18 04:01:16,037 INFO [train.py:885] (1/2) Epoch 14, batch 1150, loss[loss=0.1928, simple_loss=0.2669, pruned_loss=0.0594, over 14020.00 frames. utt_duration=711.3 frames, utt_pad_proportion=0.05916, over 79.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3564, pruned_loss=0.113, over 2768097.35 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06884, over 42902.88 utterances.], batch size: 79, lr: 3.38e-04
+2022-09-18 04:01:45,701 INFO [train.py:885] (1/2) Epoch 14, batch 1200, loss[loss=0.2552, simple_loss=0.3052, pruned_loss=0.1026, over 13401.00 frames. utt_duration=1073 frames, utt_pad_proportion=0.0935, over 50.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3582, pruned_loss=0.1147, over 2770776.54 frames. utt_duration=258.1 frames, utt_pad_proportion=0.07002, over 43183.09 utterances.], batch size: 50, lr: 3.38e-04
+2022-09-18 04:02:15,221 INFO [train.py:885] (1/2) Epoch 14, batch 1250, loss[loss=0.4752, simple_loss=0.5652, pruned_loss=0.1926, over 12572.00 frames. utt_duration=63.67 frames, utt_pad_proportion=0.1396, over 810.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.359, pruned_loss=0.1149, over 2773068.45 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07028, over 43999.27 utterances.], batch size: 810, lr: 3.38e-04
+2022-09-18 04:02:44,768 INFO [train.py:885] (1/2) Epoch 14, batch 1300, loss[loss=0.2951, simple_loss=0.3779, pruned_loss=0.1061, over 14274.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04031, over 180.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3621, pruned_loss=0.1155, over 2772881.47 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07134, over 45988.50 utterances.], batch size: 180, lr: 3.38e-04
+2022-09-18 04:03:13,832 INFO [train.py:885] (1/2) Epoch 14, batch 1350, loss[loss=0.3947, simple_loss=0.4416, pruned_loss=0.1739, over 14232.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04321, over 335.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3592, pruned_loss=0.114, over 2777094.40 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06951, over 44599.86 utterances.], batch size: 335, lr: 3.38e-04
+2022-09-18 04:03:43,575 INFO [train.py:885] (1/2) Epoch 14, batch 1400, loss[loss=0.324, simple_loss=0.3648, pruned_loss=0.1416, over 14334.00 frames. utt_duration=479.4 frames, utt_pad_proportion=0.03743, over 120.00 utterances.], tot_loss[loss=0.2919, simple_loss=0.3569, pruned_loss=0.1134, over 2782938.95 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06875, over 43301.06 utterances.], batch size: 120, lr: 3.38e-04
+2022-09-18 04:04:12,752 INFO [train.py:885] (1/2) Epoch 14, batch 1450, loss[loss=0.3665, simple_loss=0.4152, pruned_loss=0.1589, over 14213.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04388, over 306.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3563, pruned_loss=0.1129, over 2786069.96 frames. utt_duration=260.4 frames, utt_pad_proportion=0.06774, over 43042.54 utterances.], batch size: 306, lr: 3.37e-04
+2022-09-18 04:04:42,865 INFO [train.py:885] (1/2) Epoch 14, batch 1500, loss[loss=0.2646, simple_loss=0.3425, pruned_loss=0.09333, over 14380.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03168, over 244.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3593, pruned_loss=0.1144, over 2785307.99 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06784, over 45121.93 utterances.], batch size: 244, lr: 3.37e-04
+2022-09-18 04:05:12,781 INFO [train.py:885] (1/2) Epoch 14, batch 1550, loss[loss=0.3081, simple_loss=0.3644, pruned_loss=0.1259, over 14299.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04088, over 154.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3615, pruned_loss=0.1147, over 2783098.95 frames. utt_duration=238.9 frames, utt_pad_proportion=0.06939, over 46897.92 utterances.], batch size: 154, lr: 3.37e-04
+2022-09-18 04:05:41,812 INFO [train.py:885] (1/2) Epoch 14, batch 1600, loss[loss=0.2006, simple_loss=0.269, pruned_loss=0.06606, over 12437.00 frames. utt_duration=1991 frames, utt_pad_proportion=0.164, over 25.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.36, pruned_loss=0.1155, over 2779407.17 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07036, over 45107.43 utterances.], batch size: 25, lr: 3.37e-04
+2022-09-18 04:06:11,690 INFO [train.py:885] (1/2) Epoch 14, batch 1650, loss[loss=0.3469, simple_loss=0.4014, pruned_loss=0.1462, over 14327.00 frames. utt_duration=236.3 frames, utt_pad_proportion=0.03531, over 244.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.3583, pruned_loss=0.1139, over 2779431.56 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07048, over 44809.73 utterances.], batch size: 244, lr: 3.37e-04
+2022-09-18 04:06:41,724 INFO [train.py:885] (1/2) Epoch 14, batch 1700, loss[loss=0.1688, simple_loss=0.2373, pruned_loss=0.0502, over 13442.00 frames. utt_duration=1631 frames, utt_pad_proportion=0.09733, over 33.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3576, pruned_loss=0.1138, over 2781577.33 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06921, over 44757.49 utterances.], batch size: 33, lr: 3.37e-04
+2022-09-18 04:07:11,438 INFO [train.py:885] (1/2) Epoch 14, batch 1750, loss[loss=0.1885, simple_loss=0.253, pruned_loss=0.06197, over 13494.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.09219, over 50.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3592, pruned_loss=0.1149, over 2778998.36 frames. utt_duration=247.3 frames, utt_pad_proportion=0.0697, over 45224.49 utterances.], batch size: 50, lr: 3.37e-04
+2022-09-18 04:07:40,764 INFO [train.py:885] (1/2) Epoch 14, batch 1800, loss[loss=0.1716, simple_loss=0.2353, pruned_loss=0.05391, over 13576.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08159, over 50.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3601, pruned_loss=0.1147, over 2781062.97 frames. utt_duration=244 frames, utt_pad_proportion=0.0695, over 45873.31 utterances.], batch size: 50, lr: 3.37e-04
+2022-09-18 04:08:10,523 INFO [train.py:885] (1/2) Epoch 14, batch 1850, loss[loss=0.2977, simple_loss=0.3845, pruned_loss=0.1055, over 14012.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.0552, over 365.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3588, pruned_loss=0.1138, over 2783600.81 frames. utt_duration=245.5 frames, utt_pad_proportion=0.06843, over 45630.50 utterances.], batch size: 365, lr: 3.37e-04
+2022-09-18 04:08:39,437 INFO [train.py:885] (1/2) Epoch 14, batch 1900, loss[loss=0.322, simple_loss=0.3901, pruned_loss=0.127, over 14336.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.03717, over 226.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3584, pruned_loss=0.1143, over 2783900.80 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06677, over 44333.12 utterances.], batch size: 226, lr: 3.37e-04
+2022-09-18 04:09:09,506 INFO [train.py:885] (1/2) Epoch 14, batch 1950, loss[loss=0.2752, simple_loss=0.3462, pruned_loss=0.1021, over 14298.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04014, over 120.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3614, pruned_loss=0.1165, over 2790681.91 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06658, over 44819.05 utterances.], batch size: 120, lr: 3.37e-04
+2022-09-18 04:09:38,747 INFO [train.py:885] (1/2) Epoch 14, batch 2000, loss[loss=0.3346, simple_loss=0.3866, pruned_loss=0.1413, over 14270.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04048, over 154.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3623, pruned_loss=0.1164, over 2791184.42 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06807, over 45244.17 utterances.], batch size: 154, lr: 3.37e-04
+2022-09-18 04:10:08,400 INFO [train.py:885] (1/2) Epoch 14, batch 2050, loss[loss=0.2817, simple_loss=0.372, pruned_loss=0.0957, over 14049.00 frames. utt_duration=155.3 frames, utt_pad_proportion=0.05279, over 365.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3645, pruned_loss=0.1166, over 2788814.72 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07, over 47388.94 utterances.], batch size: 365, lr: 3.37e-04
+2022-09-18 04:10:38,254 INFO [train.py:885] (1/2) Epoch 14, batch 2100, loss[loss=0.1693, simple_loss=0.2265, pruned_loss=0.05606, over 13254.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.1104, over 33.00 utterances.], tot_loss[loss=0.3026, simple_loss=0.3675, pruned_loss=0.1188, over 2784181.57 frames. utt_duration=232 frames, utt_pad_proportion=0.07228, over 48305.82 utterances.], batch size: 33, lr: 3.37e-04
+2022-09-18 04:11:07,446 INFO [train.py:885] (1/2) Epoch 14, batch 2150, loss[loss=0.3081, simple_loss=0.372, pruned_loss=0.1221, over 14285.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03932, over 180.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3647, pruned_loss=0.1169, over 2781781.55 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07319, over 47360.76 utterances.], batch size: 180, lr: 3.37e-04
+2022-09-18 04:11:37,640 INFO [train.py:885] (1/2) Epoch 14, batch 2200, loss[loss=0.1965, simple_loss=0.2784, pruned_loss=0.05725, over 14066.00 frames. utt_duration=805.3 frames, utt_pad_proportion=0.06033, over 70.00 utterances.], tot_loss[loss=0.2985, simple_loss=0.3648, pruned_loss=0.1161, over 2781574.15 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07263, over 48108.72 utterances.], batch size: 70, lr: 3.37e-04
+2022-09-18 04:12:13,354 INFO [train.py:885] (1/2) Epoch 14, batch 2250, loss[loss=0.5968, simple_loss=0.6499, pruned_loss=0.2719, over 12495.00 frames. utt_duration=63.28 frames, utt_pad_proportion=0.1449, over 810.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3657, pruned_loss=0.1173, over 2781276.33 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07131, over 48296.11 utterances.], batch size: 810, lr: 3.37e-04
+2022-09-18 04:12:42,885 INFO [train.py:885] (1/2) Epoch 14, batch 2300, loss[loss=0.3853, simple_loss=0.4302, pruned_loss=0.1702, over 14241.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04303, over 335.00 utterances.], tot_loss[loss=0.3006, simple_loss=0.3654, pruned_loss=0.1179, over 2780010.20 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07338, over 47585.34 utterances.], batch size: 335, lr: 3.37e-04
+2022-09-18 04:13:12,903 INFO [train.py:885] (1/2) Epoch 14, batch 2350, loss[loss=0.5713, simple_loss=0.6326, pruned_loss=0.255, over 12431.00 frames. utt_duration=62.95 frames, utt_pad_proportion=0.1493, over 810.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3654, pruned_loss=0.1175, over 2775053.12 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07543, over 47984.88 utterances.], batch size: 810, lr: 3.37e-04
+2022-09-18 04:13:42,117 INFO [train.py:885] (1/2) Epoch 14, batch 2400, loss[loss=0.3463, simple_loss=0.4011, pruned_loss=0.1458, over 14224.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04345, over 306.00 utterances.], tot_loss[loss=0.3024, simple_loss=0.3673, pruned_loss=0.1187, over 2777419.50 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07378, over 48279.09 utterances.], batch size: 306, lr: 3.37e-04
+2022-09-18 04:14:11,723 INFO [train.py:885] (1/2) Epoch 14, batch 2450, loss[loss=0.2208, simple_loss=0.2956, pruned_loss=0.07303, over 13724.00 frames. utt_duration=916.2 frames, utt_pad_proportion=0.07827, over 60.00 utterances.], tot_loss[loss=0.3017, simple_loss=0.3666, pruned_loss=0.1184, over 2778852.14 frames. utt_duration=231.3 frames, utt_pad_proportion=0.07359, over 48368.20 utterances.], batch size: 60, lr: 3.36e-04
+2022-09-18 04:14:41,453 INFO [train.py:885] (1/2) Epoch 14, batch 2500, loss[loss=0.2496, simple_loss=0.3209, pruned_loss=0.08913, over 14186.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04355, over 109.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3652, pruned_loss=0.1183, over 2770064.53 frames. utt_duration=232.8 frames, utt_pad_proportion=0.0757, over 47892.78 utterances.], batch size: 109, lr: 3.36e-04
+2022-09-18 04:15:11,378 INFO [train.py:885] (1/2) Epoch 14, batch 2550, loss[loss=0.291, simple_loss=0.3638, pruned_loss=0.1091, over 14372.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03465, over 210.00 utterances.], tot_loss[loss=0.3034, simple_loss=0.3684, pruned_loss=0.1192, over 2766433.13 frames. utt_duration=224.7 frames, utt_pad_proportion=0.07771, over 49575.32 utterances.], batch size: 210, lr: 3.36e-04
+2022-09-18 04:15:41,383 INFO [train.py:885] (1/2) Epoch 14, batch 2600, loss[loss=0.3363, simple_loss=0.3893, pruned_loss=0.1416, over 14381.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03148, over 244.00 utterances.], tot_loss[loss=0.306, simple_loss=0.371, pruned_loss=0.1205, over 2763872.19 frames. utt_duration=218.6 frames, utt_pad_proportion=0.07927, over 50911.36 utterances.], batch size: 244, lr: 3.36e-04
+2022-09-18 04:16:11,457 INFO [train.py:885] (1/2) Epoch 14, batch 2650, loss[loss=0.3736, simple_loss=0.4232, pruned_loss=0.1619, over 14351.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03604, over 210.00 utterances.], tot_loss[loss=0.3032, simple_loss=0.368, pruned_loss=0.1192, over 2769440.89 frames. utt_duration=229.1 frames, utt_pad_proportion=0.07729, over 48678.28 utterances.], batch size: 210, lr: 3.36e-04
+2022-09-18 04:16:40,628 INFO [train.py:885] (1/2) Epoch 14, batch 2700, loss[loss=0.2247, simple_loss=0.2914, pruned_loss=0.07903, over 14172.00 frames. utt_duration=638.3 frames, utt_pad_proportion=0.04871, over 89.00 utterances.], tot_loss[loss=0.3044, simple_loss=0.3692, pruned_loss=0.1198, over 2772158.47 frames. utt_duration=226.9 frames, utt_pad_proportion=0.0778, over 49198.63 utterances.], batch size: 89, lr: 3.36e-04
+2022-09-18 04:17:10,215 INFO [train.py:885] (1/2) Epoch 14, batch 2750, loss[loss=0.2831, simple_loss=0.3531, pruned_loss=0.1066, over 14271.00 frames. utt_duration=219.4 frames, utt_pad_proportion=0.04192, over 262.00 utterances.], tot_loss[loss=0.2996, simple_loss=0.3645, pruned_loss=0.1173, over 2773142.48 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07444, over 47481.43 utterances.], batch size: 262, lr: 3.36e-04
+2022-09-18 04:17:39,534 INFO [train.py:885] (1/2) Epoch 14, batch 2800, loss[loss=0.356, simple_loss=0.3993, pruned_loss=0.1563, over 14296.00 frames. utt_duration=343.8 frames, utt_pad_proportion=0.04233, over 167.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3607, pruned_loss=0.1152, over 2776634.78 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07147, over 45644.51 utterances.], batch size: 167, lr: 3.36e-04
+2022-09-18 04:18:15,858 INFO [train.py:885] (1/2) Epoch 14, batch 2850, loss[loss=0.2653, simple_loss=0.3402, pruned_loss=0.09515, over 14309.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.03532, over 154.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3584, pruned_loss=0.1144, over 2779713.40 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06898, over 44185.39 utterances.], batch size: 154, lr: 3.36e-04
+2022-09-18 04:18:45,231 INFO [train.py:885] (1/2) Epoch 14, batch 2900, loss[loss=0.2818, simple_loss=0.3474, pruned_loss=0.1081, over 14341.00 frames. utt_duration=374 frames, utt_pad_proportion=0.03597, over 154.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3584, pruned_loss=0.1146, over 2782925.36 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06726, over 44055.99 utterances.], batch size: 154, lr: 3.36e-04
+2022-09-18 04:19:15,076 INFO [train.py:885] (1/2) Epoch 14, batch 2950, loss[loss=0.3739, simple_loss=0.4252, pruned_loss=0.1613, over 14387.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03098, over 244.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3621, pruned_loss=0.1169, over 2777521.98 frames. utt_duration=244 frames, utt_pad_proportion=0.07102, over 45807.08 utterances.], batch size: 244, lr: 3.36e-04
+2022-09-18 04:19:44,557 INFO [train.py:885] (1/2) Epoch 14, batch 3000, loss[loss=0.3462, simple_loss=0.4474, pruned_loss=0.1225, over 13150.00 frames. utt_duration=82.11 frames, utt_pad_proportion=0.1075, over 653.00 utterances.], tot_loss[loss=0.2986, simple_loss=0.3635, pruned_loss=0.1168, over 2776186.28 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07272, over 46671.58 utterances.], batch size: 653, lr: 3.36e-04
+2022-09-18 04:19:44,558 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 04:19:49,229 INFO [train.py:914] (1/2) Epoch 14, validation: loss=0.2017, simple_loss=0.2828, pruned_loss=0.06032, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 04:20:18,172 INFO [train.py:885] (1/2) Epoch 14, batch 3050, loss[loss=0.3866, simple_loss=0.4262, pruned_loss=0.1735, over 14294.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.0405, over 262.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3608, pruned_loss=0.1152, over 2778995.28 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07236, over 45175.80 utterances.], batch size: 262, lr: 3.36e-04
+2022-09-18 04:20:47,304 INFO [train.py:885] (1/2) Epoch 14, batch 3100, loss[loss=0.4316, simple_loss=0.4585, pruned_loss=0.2024, over 14189.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04573, over 306.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3572, pruned_loss=0.1132, over 2779974.98 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07055, over 44148.69 utterances.], batch size: 306, lr: 3.36e-04
+2022-09-18 04:21:17,287 INFO [train.py:885] (1/2) Epoch 14, batch 3150, loss[loss=0.3219, simple_loss=0.3842, pruned_loss=0.1298, over 14298.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04123, over 262.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3561, pruned_loss=0.1133, over 2777623.81 frames. utt_duration=259.9 frames, utt_pad_proportion=0.07079, over 42992.85 utterances.], batch size: 262, lr: 3.36e-04
+2022-09-18 04:21:45,895 INFO [train.py:885] (1/2) Epoch 14, batch 3200, loss[loss=0.5007, simple_loss=0.5895, pruned_loss=0.206, over 12519.00 frames. utt_duration=63.38 frames, utt_pad_proportion=0.1436, over 810.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3563, pruned_loss=0.1128, over 2783852.11 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06886, over 43395.53 utterances.], batch size: 810, lr: 3.36e-04
+2022-09-18 04:22:15,680 INFO [train.py:885] (1/2) Epoch 14, batch 3250, loss[loss=0.2925, simple_loss=0.3598, pruned_loss=0.1126, over 14359.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.0325, over 195.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3581, pruned_loss=0.1144, over 2786685.62 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06864, over 43395.18 utterances.], batch size: 195, lr: 3.36e-04
+2022-09-18 04:22:45,195 INFO [train.py:885] (1/2) Epoch 14, batch 3300, loss[loss=0.2163, simple_loss=0.2741, pruned_loss=0.07929, over 12510.00 frames. utt_duration=2003 frames, utt_pad_proportion=0.1407, over 25.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3579, pruned_loss=0.1149, over 2782551.54 frames. utt_duration=258.2 frames, utt_pad_proportion=0.06969, over 43353.43 utterances.], batch size: 25, lr: 3.36e-04
+2022-09-18 04:23:14,940 INFO [train.py:885] (1/2) Epoch 14, batch 3350, loss[loss=0.4064, simple_loss=0.4419, pruned_loss=0.1854, over 14232.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04326, over 335.00 utterances.], tot_loss[loss=0.2951, simple_loss=0.3591, pruned_loss=0.1156, over 2783000.09 frames. utt_duration=255.3 frames, utt_pad_proportion=0.07013, over 43861.14 utterances.], batch size: 335, lr: 3.36e-04
+2022-09-18 04:23:44,697 INFO [train.py:885] (1/2) Epoch 14, batch 3400, loss[loss=0.6364, simple_loss=0.6715, pruned_loss=0.3007, over 12442.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1479, over 810.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3588, pruned_loss=0.1151, over 2778323.89 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07315, over 44555.36 utterances.], batch size: 810, lr: 3.35e-04
+2022-09-18 04:24:13,784 INFO [train.py:885] (1/2) Epoch 14, batch 3450, loss[loss=0.1979, simple_loss=0.2804, pruned_loss=0.05767, over 13727.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08033, over 42.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3569, pruned_loss=0.114, over 2778804.49 frames. utt_duration=255.6 frames, utt_pad_proportion=0.0717, over 43740.96 utterances.], batch size: 42, lr: 3.35e-04
+2022-09-18 04:24:43,699 INFO [train.py:885] (1/2) Epoch 14, batch 3500, loss[loss=0.2228, simple_loss=0.2893, pruned_loss=0.07817, over 14125.00 frames. utt_duration=578 frames, utt_pad_proportion=0.05092, over 98.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3568, pruned_loss=0.1138, over 2777556.60 frames. utt_duration=253.5 frames, utt_pad_proportion=0.0725, over 44088.96 utterances.], batch size: 98, lr: 3.35e-04
+2022-09-18 04:25:13,328 INFO [train.py:885] (1/2) Epoch 14, batch 3550, loss[loss=0.27, simple_loss=0.351, pruned_loss=0.09455, over 14307.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03802, over 180.00 utterances.], tot_loss[loss=0.2919, simple_loss=0.3565, pruned_loss=0.1137, over 2771427.28 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07287, over 43870.59 utterances.], batch size: 180, lr: 3.35e-04
+2022-09-18 04:25:42,817 INFO [train.py:885] (1/2) Epoch 14, batch 3600, loss[loss=0.141, simple_loss=0.1973, pruned_loss=0.04235, over 12432.00 frames. utt_duration=2074 frames, utt_pad_proportion=0.1484, over 24.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.352, pruned_loss=0.1115, over 2773896.41 frames. utt_duration=265.2 frames, utt_pad_proportion=0.0703, over 42078.63 utterances.], batch size: 24, lr: 3.35e-04
+2022-09-18 04:26:12,602 INFO [train.py:885] (1/2) Epoch 14, batch 3650, loss[loss=0.3368, simple_loss=0.3987, pruned_loss=0.1375, over 14224.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04308, over 306.00 utterances.], tot_loss[loss=0.292, simple_loss=0.3564, pruned_loss=0.1138, over 2779168.79 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06826, over 43398.77 utterances.], batch size: 306, lr: 3.35e-04
+2022-09-18 04:26:41,616 INFO [train.py:885] (1/2) Epoch 14, batch 3700, loss[loss=0.3259, simple_loss=0.3797, pruned_loss=0.1361, over 14333.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03667, over 154.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3588, pruned_loss=0.1152, over 2781840.09 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06737, over 44176.15 utterances.], batch size: 154, lr: 3.35e-04
+2022-09-18 04:27:11,344 INFO [train.py:885] (1/2) Epoch 14, batch 3750, loss[loss=0.2648, simple_loss=0.3348, pruned_loss=0.09742, over 14322.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03978, over 154.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3598, pruned_loss=0.1146, over 2776046.77 frames. utt_duration=245.7 frames, utt_pad_proportion=0.06998, over 45468.93 utterances.], batch size: 154, lr: 3.35e-04
+2022-09-18 04:27:41,240 INFO [train.py:885] (1/2) Epoch 14, batch 3800, loss[loss=0.2227, simple_loss=0.2714, pruned_loss=0.08704, over 13533.00 frames. utt_duration=1290 frames, utt_pad_proportion=0.09515, over 42.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3605, pruned_loss=0.1151, over 2776451.00 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07209, over 45340.68 utterances.], batch size: 42, lr: 3.35e-04
+2022-09-18 04:28:10,830 INFO [train.py:885] (1/2) Epoch 14, batch 3850, loss[loss=0.1768, simple_loss=0.2406, pruned_loss=0.05649, over 12415.00 frames. utt_duration=2070 frames, utt_pad_proportion=0.1416, over 24.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.36, pruned_loss=0.115, over 2773928.34 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07432, over 45094.05 utterances.], batch size: 24, lr: 3.35e-04
+2022-09-18 04:28:40,206 INFO [train.py:885] (1/2) Epoch 14, batch 3900, loss[loss=0.3119, simple_loss=0.387, pruned_loss=0.1184, over 14013.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05511, over 365.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3589, pruned_loss=0.1142, over 2774993.53 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07325, over 44908.78 utterances.], batch size: 365, lr: 3.35e-04
+2022-09-18 04:29:10,762 INFO [train.py:885] (1/2) Epoch 14, batch 3950, loss[loss=0.2704, simple_loss=0.3315, pruned_loss=0.1047, over 14082.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05363, over 98.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3541, pruned_loss=0.1117, over 2778372.86 frames. utt_duration=260.6 frames, utt_pad_proportion=0.071, over 42890.74 utterances.], batch size: 98, lr: 3.35e-04
+2022-09-18 04:29:40,181 INFO [train.py:885] (1/2) Epoch 14, batch 4000, loss[loss=0.3067, simple_loss=0.3737, pruned_loss=0.1199, over 14341.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03669, over 283.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3584, pruned_loss=0.1144, over 2779864.89 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07217, over 44362.32 utterances.], batch size: 283, lr: 3.35e-04
+2022-09-18 04:30:10,163 INFO [train.py:885] (1/2) Epoch 14, batch 4050, loss[loss=0.3279, simple_loss=0.4068, pruned_loss=0.1245, over 13945.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.0591, over 365.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3594, pruned_loss=0.1145, over 2780560.50 frames. utt_duration=249.3 frames, utt_pad_proportion=0.0718, over 44885.49 utterances.], batch size: 365, lr: 3.35e-04
+2022-09-18 04:30:39,937 INFO [train.py:885] (1/2) Epoch 14, batch 4100, loss[loss=0.2986, simple_loss=0.3679, pruned_loss=0.1147, over 14264.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.04125, over 180.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3631, pruned_loss=0.1165, over 2781526.00 frames. utt_duration=241.7 frames, utt_pad_proportion=0.0721, over 46315.15 utterances.], batch size: 180, lr: 3.35e-04
+2022-09-18 04:31:08,950 INFO [train.py:885] (1/2) Epoch 14, batch 4150, loss[loss=0.5664, simple_loss=0.6296, pruned_loss=0.2517, over 12516.00 frames. utt_duration=63.33 frames, utt_pad_proportion=0.1441, over 810.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3638, pruned_loss=0.1179, over 2776514.83 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07459, over 46327.59 utterances.], batch size: 810, lr: 3.35e-04
+2022-09-18 04:31:38,502 INFO [train.py:885] (1/2) Epoch 14, batch 4200, loss[loss=0.2973, simple_loss=0.3814, pruned_loss=0.1066, over 14295.00 frames. utt_duration=255.7 frames, utt_pad_proportion=0.0386, over 225.00 utterances.], tot_loss[loss=0.2975, simple_loss=0.3618, pruned_loss=0.1166, over 2773421.21 frames. utt_duration=245.6 frames, utt_pad_proportion=0.0733, over 45436.44 utterances.], batch size: 225, lr: 3.35e-04
+2022-09-18 04:32:07,773 INFO [train.py:885] (1/2) Epoch 14, batch 4250, loss[loss=0.2649, simple_loss=0.3151, pruned_loss=0.1074, over 13996.00 frames. utt_duration=710 frames, utt_pad_proportion=0.06086, over 79.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3584, pruned_loss=0.1149, over 2774944.11 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07159, over 44087.88 utterances.], batch size: 79, lr: 3.35e-04
+2022-09-18 04:32:37,644 INFO [train.py:885] (1/2) Epoch 14, batch 4300, loss[loss=0.3921, simple_loss=0.4288, pruned_loss=0.1777, over 14315.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03882, over 283.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3611, pruned_loss=0.1151, over 2772941.13 frames. utt_duration=242 frames, utt_pad_proportion=0.07465, over 46119.37 utterances.], batch size: 283, lr: 3.35e-04
+2022-09-18 04:33:07,292 INFO [train.py:885] (1/2) Epoch 14, batch 4350, loss[loss=0.2367, simple_loss=0.3, pruned_loss=0.08671, over 14080.00 frames. utt_duration=714.2 frames, utt_pad_proportion=0.05525, over 79.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3621, pruned_loss=0.1155, over 2776625.23 frames. utt_duration=239 frames, utt_pad_proportion=0.07392, over 46764.70 utterances.], batch size: 79, lr: 3.35e-04
+2022-09-18 04:33:36,850 INFO [train.py:885] (1/2) Epoch 14, batch 4400, loss[loss=0.1585, simple_loss=0.223, pruned_loss=0.04698, over 12626.00 frames. utt_duration=2022 frames, utt_pad_proportion=0.1508, over 25.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3608, pruned_loss=0.1151, over 2779549.73 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07291, over 45881.25 utterances.], batch size: 25, lr: 3.35e-04
+2022-09-18 04:34:06,392 INFO [train.py:885] (1/2) Epoch 14, batch 4450, loss[loss=0.2428, simple_loss=0.3173, pruned_loss=0.08409, over 14221.00 frames. utt_duration=523.3 frames, utt_pad_proportion=0.04154, over 109.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.358, pruned_loss=0.1141, over 2774386.15 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07505, over 45112.00 utterances.], batch size: 109, lr: 3.34e-04
+2022-09-18 04:34:35,947 INFO [train.py:885] (1/2) Epoch 14, batch 4500, loss[loss=0.2868, simple_loss=0.3591, pruned_loss=0.1072, over 14354.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03648, over 195.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3579, pruned_loss=0.1136, over 2778387.29 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07313, over 45400.52 utterances.], batch size: 195, lr: 3.34e-04
+2022-09-18 04:35:05,911 INFO [train.py:885] (1/2) Epoch 14, batch 4550, loss[loss=0.2244, simple_loss=0.297, pruned_loss=0.07584, over 14055.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.05564, over 98.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3615, pruned_loss=0.1148, over 2777129.28 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07465, over 47089.68 utterances.], batch size: 98, lr: 3.34e-04
+2022-09-18 04:35:35,366 INFO [train.py:885] (1/2) Epoch 14, batch 4600, loss[loss=0.4165, simple_loss=0.4513, pruned_loss=0.1908, over 14181.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04572, over 306.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3624, pruned_loss=0.115, over 2777732.22 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07238, over 47156.02 utterances.], batch size: 306, lr: 3.34e-04
+2022-09-18 04:36:05,747 INFO [train.py:885] (1/2) Epoch 14, batch 4650, loss[loss=0.5243, simple_loss=0.6019, pruned_loss=0.2234, over 12539.00 frames. utt_duration=63.47 frames, utt_pad_proportion=0.1423, over 810.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3627, pruned_loss=0.1149, over 2773674.96 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07464, over 47700.53 utterances.], batch size: 810, lr: 3.34e-04
+2022-09-18 04:36:35,029 INFO [train.py:885] (1/2) Epoch 14, batch 4700, loss[loss=0.1843, simple_loss=0.2602, pruned_loss=0.05424, over 13484.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.09298, over 50.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3626, pruned_loss=0.1145, over 2778015.83 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07235, over 47168.49 utterances.], batch size: 50, lr: 3.34e-04
+2022-09-18 04:37:05,132 INFO [train.py:885] (1/2) Epoch 14, batch 4750, loss[loss=0.1944, simple_loss=0.2683, pruned_loss=0.06029, over 12388.00 frames. utt_duration=2066 frames, utt_pad_proportion=0.1472, over 24.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3602, pruned_loss=0.1132, over 2772804.67 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07286, over 46074.79 utterances.], batch size: 24, lr: 3.34e-04
+2022-09-18 04:37:34,461 INFO [train.py:885] (1/2) Epoch 14, batch 4800, loss[loss=0.3575, simple_loss=0.401, pruned_loss=0.157, over 14181.00 frames. utt_duration=186.9 frames, utt_pad_proportion=0.04622, over 306.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3621, pruned_loss=0.1145, over 2776639.17 frames. utt_duration=243 frames, utt_pad_proportion=0.07314, over 45986.54 utterances.], batch size: 306, lr: 3.34e-04
+2022-09-18 04:38:04,323 INFO [train.py:885] (1/2) Epoch 14, batch 4850, loss[loss=0.3289, simple_loss=0.3914, pruned_loss=0.1332, over 14234.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04263, over 306.00 utterances.], tot_loss[loss=0.293, simple_loss=0.359, pruned_loss=0.1135, over 2774485.09 frames. utt_duration=249.4 frames, utt_pad_proportion=0.0728, over 44757.67 utterances.], batch size: 306, lr: 3.34e-04
+2022-09-18 04:38:34,812 INFO [train.py:885] (1/2) Epoch 14, batch 4900, loss[loss=0.3048, simple_loss=0.367, pruned_loss=0.1213, over 14343.00 frames. utt_duration=320.1 frames, utt_pad_proportion=0.03596, over 180.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3653, pruned_loss=0.1175, over 2771295.07 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07493, over 46922.27 utterances.], batch size: 180, lr: 3.34e-04
+2022-09-18 04:39:04,330 INFO [train.py:885] (1/2) Epoch 14, batch 4950, loss[loss=0.2191, simple_loss=0.2749, pruned_loss=0.08171, over 13852.00 frames. utt_duration=804.3 frames, utt_pad_proportion=0.0626, over 69.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3612, pruned_loss=0.1144, over 2774854.89 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07358, over 46430.37 utterances.], batch size: 69, lr: 3.34e-04
+2022-09-18 04:39:33,299 INFO [train.py:885] (1/2) Epoch 14, batch 5000, loss[loss=0.4035, simple_loss=0.4425, pruned_loss=0.1823, over 14218.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04388, over 335.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3613, pruned_loss=0.115, over 2781873.69 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07113, over 45566.74 utterances.], batch size: 335, lr: 3.34e-04
+2022-09-18 04:40:03,178 INFO [train.py:885] (1/2) Epoch 14, batch 5050, loss[loss=0.2116, simple_loss=0.2781, pruned_loss=0.07248, over 14072.00 frames. utt_duration=714 frames, utt_pad_proportion=0.05677, over 79.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3582, pruned_loss=0.1143, over 2783955.36 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06772, over 43486.81 utterances.], batch size: 79, lr: 3.34e-04
+2022-09-18 04:40:32,424 INFO [train.py:885] (1/2) Epoch 14, batch 5100, loss[loss=0.3803, simple_loss=0.4265, pruned_loss=0.167, over 14241.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04214, over 335.00 utterances.], tot_loss[loss=0.2951, simple_loss=0.3603, pruned_loss=0.1149, over 2788997.29 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06607, over 44679.92 utterances.], batch size: 335, lr: 3.34e-04
+2022-09-18 04:41:01,886 INFO [train.py:885] (1/2) Epoch 14, batch 5150, loss[loss=0.2948, simple_loss=0.3567, pruned_loss=0.1165, over 14300.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04128, over 154.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.362, pruned_loss=0.1158, over 2785840.97 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06929, over 45778.03 utterances.], batch size: 154, lr: 3.34e-04
+2022-09-18 04:41:31,988 INFO [train.py:885] (1/2) Epoch 14, batch 5200, loss[loss=0.3289, simple_loss=0.3935, pruned_loss=0.1322, over 14224.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04398, over 335.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3639, pruned_loss=0.1178, over 2782366.44 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07135, over 46705.53 utterances.], batch size: 335, lr: 3.34e-04
+2022-09-18 04:42:01,221 INFO [train.py:885] (1/2) Epoch 14, batch 5250, loss[loss=0.2997, simple_loss=0.3721, pruned_loss=0.1137, over 14291.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04097, over 262.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3616, pruned_loss=0.1173, over 2788326.66 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06868, over 45224.68 utterances.], batch size: 262, lr: 3.34e-04
+2022-09-18 04:42:30,879 INFO [train.py:885] (1/2) Epoch 14, batch 5300, loss[loss=0.379, simple_loss=0.414, pruned_loss=0.172, over 14350.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03605, over 195.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.3626, pruned_loss=0.1175, over 2788452.93 frames. utt_duration=243.6 frames, utt_pad_proportion=0.06892, over 46062.49 utterances.], batch size: 195, lr: 3.34e-04
+2022-09-18 04:42:59,860 INFO [train.py:885] (1/2) Epoch 14, batch 5350, loss[loss=0.5442, simple_loss=0.6132, pruned_loss=0.2376, over 12596.00 frames. utt_duration=63.74 frames, utt_pad_proportion=0.1387, over 810.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.3597, pruned_loss=0.1162, over 2781827.28 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07041, over 45235.73 utterances.], batch size: 810, lr: 3.34e-04
+2022-09-18 04:43:29,564 INFO [train.py:885] (1/2) Epoch 14, batch 5400, loss[loss=0.35, simple_loss=0.4066, pruned_loss=0.1467, over 14232.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04269, over 335.00 utterances.], tot_loss[loss=0.3019, simple_loss=0.3658, pruned_loss=0.1191, over 2783271.92 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07054, over 47782.71 utterances.], batch size: 335, lr: 3.34e-04
+2022-09-18 04:43:59,529 INFO [train.py:885] (1/2) Epoch 14, batch 5450, loss[loss=0.2433, simple_loss=0.2807, pruned_loss=0.103, over 12539.00 frames. utt_duration=2008 frames, utt_pad_proportion=0.1305, over 25.00 utterances.], tot_loss[loss=0.3032, simple_loss=0.3674, pruned_loss=0.1195, over 2781927.10 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07145, over 48256.88 utterances.], batch size: 25, lr: 3.33e-04
+2022-09-18 04:44:28,942 INFO [train.py:885] (1/2) Epoch 14, batch 5500, loss[loss=0.2198, simple_loss=0.2836, pruned_loss=0.07807, over 12892.00 frames. utt_duration=1985 frames, utt_pad_proportion=0.1123, over 26.00 utterances.], tot_loss[loss=0.3025, simple_loss=0.3667, pruned_loss=0.1191, over 2781813.71 frames. utt_duration=233 frames, utt_pad_proportion=0.07088, over 48055.54 utterances.], batch size: 26, lr: 3.33e-04
+2022-09-18 04:44:59,074 INFO [train.py:885] (1/2) Epoch 14, batch 5550, loss[loss=0.3514, simple_loss=0.4453, pruned_loss=0.1288, over 13603.00 frames. utt_duration=98.48 frames, utt_pad_proportion=0.07964, over 560.00 utterances.], tot_loss[loss=0.3029, simple_loss=0.3668, pruned_loss=0.1195, over 2780930.89 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07246, over 47903.96 utterances.], batch size: 560, lr: 3.33e-04
+2022-09-18 04:45:29,833 INFO [train.py:885] (1/2) Epoch 14, batch 5600, loss[loss=0.2615, simple_loss=0.3052, pruned_loss=0.1089, over 14084.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05367, over 98.00 utterances.], tot_loss[loss=0.2964, simple_loss=0.3597, pruned_loss=0.1166, over 2779808.50 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07079, over 44611.69 utterances.], batch size: 98, lr: 3.33e-04
+2022-09-18 04:46:00,264 INFO [train.py:885] (1/2) Epoch 14, batch 5650, loss[loss=0.2884, simple_loss=0.3547, pruned_loss=0.1111, over 14306.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03802, over 180.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.359, pruned_loss=0.1157, over 2782651.67 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07085, over 44217.82 utterances.], batch size: 180, lr: 3.33e-04
+2022-09-18 04:46:29,865 INFO [train.py:885] (1/2) Epoch 14, batch 5700, loss[loss=0.2774, simple_loss=0.3491, pruned_loss=0.1028, over 14218.00 frames. utt_duration=254.3 frames, utt_pad_proportion=0.04383, over 225.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3617, pruned_loss=0.1171, over 2784033.42 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06942, over 44912.73 utterances.], batch size: 225, lr: 3.33e-04
+2022-09-18 04:46:59,773 INFO [train.py:885] (1/2) Epoch 14, batch 5750, loss[loss=0.2103, simple_loss=0.2867, pruned_loss=0.06693, over 14211.00 frames. utt_duration=640.3 frames, utt_pad_proportion=0.04575, over 89.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3602, pruned_loss=0.1157, over 2783436.23 frames. utt_duration=249.7 frames, utt_pad_proportion=0.0698, over 44849.43 utterances.], batch size: 89, lr: 3.33e-04
+2022-09-18 04:47:29,429 INFO [train.py:885] (1/2) Epoch 14, batch 5800, loss[loss=0.4424, simple_loss=0.4668, pruned_loss=0.209, over 14222.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04348, over 335.00 utterances.], tot_loss[loss=0.2991, simple_loss=0.3635, pruned_loss=0.1174, over 2781641.31 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07085, over 46225.57 utterances.], batch size: 335, lr: 3.33e-04
+2022-09-18 04:47:58,664 INFO [train.py:885] (1/2) Epoch 14, batch 5850, loss[loss=0.1942, simple_loss=0.2572, pruned_loss=0.06561, over 12492.00 frames. utt_duration=2000 frames, utt_pad_proportion=0.1382, over 25.00 utterances.], tot_loss[loss=0.3004, simple_loss=0.3646, pruned_loss=0.1181, over 2777056.54 frames. utt_duration=239 frames, utt_pad_proportion=0.07215, over 46763.80 utterances.], batch size: 25, lr: 3.33e-04
+2022-09-18 04:48:28,678 INFO [train.py:885] (1/2) Epoch 14, batch 5900, loss[loss=0.2705, simple_loss=0.3507, pruned_loss=0.09517, over 14315.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04118, over 167.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3612, pruned_loss=0.1159, over 2776145.80 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07153, over 45671.26 utterances.], batch size: 167, lr: 3.33e-04
+2022-09-18 04:48:57,798 INFO [train.py:885] (1/2) Epoch 14, batch 5950, loss[loss=0.2793, simple_loss=0.3566, pruned_loss=0.101, over 14346.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03621, over 195.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3616, pruned_loss=0.1158, over 2775715.85 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07243, over 46262.58 utterances.], batch size: 195, lr: 3.33e-04
+2022-09-18 04:49:27,556 INFO [train.py:885] (1/2) Epoch 14, batch 6000, loss[loss=0.5011, simple_loss=0.5177, pruned_loss=0.2423, over 14213.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04353, over 306.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3662, pruned_loss=0.118, over 2775226.01 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07462, over 48175.42 utterances.], batch size: 306, lr: 3.33e-04
+2022-09-18 04:49:27,557 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 04:49:32,266 INFO [train.py:914] (1/2) Epoch 14, validation: loss=0.2032, simple_loss=0.2805, pruned_loss=0.06293, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 04:50:02,278 INFO [train.py:885] (1/2) Epoch 14, batch 6050, loss[loss=0.2924, simple_loss=0.39, pruned_loss=0.09739, over 13976.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.057, over 365.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3636, pruned_loss=0.1161, over 2779554.98 frames. utt_duration=238 frames, utt_pad_proportion=0.0712, over 47009.53 utterances.], batch size: 365, lr: 3.33e-04
+2022-09-18 04:50:31,847 INFO [train.py:885] (1/2) Epoch 14, batch 6100, loss[loss=0.3442, simple_loss=0.3908, pruned_loss=0.1488, over 14329.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03981, over 167.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3621, pruned_loss=0.1162, over 2778057.03 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07144, over 46151.46 utterances.], batch size: 167, lr: 3.33e-04
+2022-09-18 04:51:01,898 INFO [train.py:885] (1/2) Epoch 14, batch 6150, loss[loss=0.2297, simple_loss=0.3063, pruned_loss=0.07655, over 14076.00 frames. utt_duration=576.1 frames, utt_pad_proportion=0.05404, over 98.00 utterances.], tot_loss[loss=0.294, simple_loss=0.3598, pruned_loss=0.1141, over 2776771.66 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07137, over 45443.34 utterances.], batch size: 98, lr: 3.33e-04
+2022-09-18 04:51:30,609 INFO [train.py:885] (1/2) Epoch 14, batch 6200, loss[loss=0.1606, simple_loss=0.2251, pruned_loss=0.04808, over 14137.00 frames. utt_duration=809.1 frames, utt_pad_proportion=0.05584, over 70.00 utterances.], tot_loss[loss=0.2995, simple_loss=0.3648, pruned_loss=0.1171, over 2779153.84 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07088, over 46911.32 utterances.], batch size: 70, lr: 3.33e-04
+2022-09-18 04:52:00,639 INFO [train.py:885] (1/2) Epoch 14, batch 6250, loss[loss=0.2837, simple_loss=0.3609, pruned_loss=0.1033, over 14308.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03821, over 154.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.3646, pruned_loss=0.1171, over 2775892.88 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07173, over 46888.32 utterances.], batch size: 154, lr: 3.33e-04
+2022-09-18 04:52:29,562 INFO [train.py:885] (1/2) Epoch 14, batch 6300, loss[loss=0.3593, simple_loss=0.4428, pruned_loss=0.1379, over 13666.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07817, over 477.00 utterances.], tot_loss[loss=0.298, simple_loss=0.3624, pruned_loss=0.1168, over 2778757.50 frames. utt_duration=246 frames, utt_pad_proportion=0.0701, over 45463.82 utterances.], batch size: 477, lr: 3.33e-04
+2022-09-18 04:52:59,688 INFO [train.py:885] (1/2) Epoch 14, batch 6350, loss[loss=0.2644, simple_loss=0.3326, pruned_loss=0.09806, over 14326.00 frames. utt_duration=407.6 frames, utt_pad_proportion=0.04097, over 141.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3638, pruned_loss=0.1173, over 2775548.56 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07256, over 46578.96 utterances.], batch size: 141, lr: 3.33e-04
+2022-09-18 04:53:29,465 INFO [train.py:885] (1/2) Epoch 14, batch 6400, loss[loss=0.1992, simple_loss=0.2692, pruned_loss=0.06461, over 12767.00 frames. utt_duration=1549 frames, utt_pad_proportion=0.1243, over 33.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3635, pruned_loss=0.1173, over 2777912.70 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07218, over 46139.67 utterances.], batch size: 33, lr: 3.33e-04
+2022-09-18 04:53:58,841 INFO [train.py:885] (1/2) Epoch 14, batch 6450, loss[loss=0.818, simple_loss=0.7944, pruned_loss=0.4208, over 12474.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.1459, over 810.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.3627, pruned_loss=0.1175, over 2778713.33 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07273, over 45301.24 utterances.], batch size: 810, lr: 3.32e-04
+2022-09-18 04:54:28,335 INFO [train.py:885] (1/2) Epoch 14, batch 6500, loss[loss=0.3257, simple_loss=0.3901, pruned_loss=0.1306, over 14341.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03775, over 262.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3612, pruned_loss=0.116, over 2778645.81 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07234, over 45843.64 utterances.], batch size: 262, lr: 3.32e-04
+2022-09-18 04:54:58,744 INFO [train.py:885] (1/2) Epoch 14, batch 6550, loss[loss=0.2419, simple_loss=0.3218, pruned_loss=0.081, over 14377.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03701, over 167.00 utterances.], tot_loss[loss=0.3015, simple_loss=0.3668, pruned_loss=0.1182, over 2776293.39 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07504, over 48204.25 utterances.], batch size: 167, lr: 3.32e-04
+2022-09-18 04:55:28,205 INFO [train.py:885] (1/2) Epoch 14, batch 6600, loss[loss=0.2429, simple_loss=0.3141, pruned_loss=0.08586, over 14360.00 frames. utt_duration=480.3 frames, utt_pad_proportion=0.03546, over 120.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3624, pruned_loss=0.1158, over 2776352.06 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07303, over 46816.72 utterances.], batch size: 120, lr: 3.32e-04
+2022-09-18 04:55:57,234 INFO [train.py:885] (1/2) Epoch 14, batch 6650, loss[loss=0.3189, simple_loss=0.3789, pruned_loss=0.1295, over 14317.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03812, over 283.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.3638, pruned_loss=0.1159, over 2779301.92 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07386, over 47265.03 utterances.], batch size: 283, lr: 3.32e-04
+2022-09-18 04:56:27,060 INFO [train.py:885] (1/2) Epoch 14, batch 6700, loss[loss=0.3278, simple_loss=0.3891, pruned_loss=0.1332, over 14343.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03767, over 262.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.3656, pruned_loss=0.1166, over 2783063.78 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07299, over 47708.75 utterances.], batch size: 262, lr: 3.32e-04
+2022-09-18 04:56:56,411 INFO [train.py:885] (1/2) Epoch 14, batch 6750, loss[loss=0.3164, simple_loss=0.3862, pruned_loss=0.1233, over 14355.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03327, over 244.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3621, pruned_loss=0.1143, over 2784787.59 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07016, over 46228.33 utterances.], batch size: 244, lr: 3.32e-04
+2022-09-18 04:57:25,355 INFO [train.py:885] (1/2) Epoch 14, batch 6800, loss[loss=0.1978, simple_loss=0.2592, pruned_loss=0.06826, over 13996.00 frames. utt_duration=801.2 frames, utt_pad_proportion=0.06405, over 70.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3588, pruned_loss=0.1129, over 2782979.92 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07022, over 44643.48 utterances.], batch size: 70, lr: 3.32e-04
+2022-09-18 04:57:55,191 INFO [train.py:885] (1/2) Epoch 14, batch 6850, loss[loss=0.2143, simple_loss=0.2948, pruned_loss=0.06691, over 14207.00 frames. utt_duration=640 frames, utt_pad_proportion=0.04613, over 89.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3613, pruned_loss=0.1139, over 2781086.40 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07373, over 46506.80 utterances.], batch size: 89, lr: 3.32e-04
+2022-09-18 04:58:24,671 INFO [train.py:885] (1/2) Epoch 14, batch 6900, loss[loss=0.3275, simple_loss=0.4216, pruned_loss=0.1168, over 13571.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.08452, over 477.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3575, pruned_loss=0.1124, over 2782140.94 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07128, over 44222.61 utterances.], batch size: 477, lr: 3.32e-04
+2022-09-18 04:58:54,337 INFO [train.py:885] (1/2) Epoch 14, batch 6950, loss[loss=0.3891, simple_loss=0.4317, pruned_loss=0.1733, over 14315.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.0395, over 283.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3577, pruned_loss=0.1128, over 2781365.21 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07144, over 44816.52 utterances.], batch size: 283, lr: 3.32e-04
+2022-09-18 04:59:23,690 INFO [train.py:885] (1/2) Epoch 14, batch 7000, loss[loss=0.246, simple_loss=0.3206, pruned_loss=0.08571, over 14287.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04187, over 154.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3608, pruned_loss=0.115, over 2788662.30 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06944, over 45296.06 utterances.], batch size: 154, lr: 3.32e-04
+2022-09-18 04:59:53,338 INFO [train.py:885] (1/2) Epoch 14, batch 7050, loss[loss=0.3789, simple_loss=0.4525, pruned_loss=0.1527, over 13765.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07094, over 411.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3628, pruned_loss=0.1153, over 2788497.15 frames. utt_duration=241.8 frames, utt_pad_proportion=0.06946, over 46413.92 utterances.], batch size: 411, lr: 3.32e-04
+2022-09-18 05:00:22,964 INFO [train.py:885] (1/2) Epoch 14, batch 7100, loss[loss=0.3045, simple_loss=0.3751, pruned_loss=0.117, over 14339.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03666, over 210.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3617, pruned_loss=0.1139, over 2788370.62 frames. utt_duration=239.8 frames, utt_pad_proportion=0.0693, over 46802.11 utterances.], batch size: 210, lr: 3.32e-04
+2022-09-18 05:00:52,150 INFO [train.py:885] (1/2) Epoch 14, batch 7150, loss[loss=0.2805, simple_loss=0.3553, pruned_loss=0.1029, over 14315.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.03764, over 154.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3561, pruned_loss=0.1113, over 2787910.98 frames. utt_duration=251 frames, utt_pad_proportion=0.06765, over 44699.70 utterances.], batch size: 154, lr: 3.32e-04
+2022-09-18 05:01:21,851 INFO [train.py:885] (1/2) Epoch 14, batch 7200, loss[loss=0.2632, simple_loss=0.3366, pruned_loss=0.09492, over 14281.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.04324, over 141.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3534, pruned_loss=0.1109, over 2786398.38 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06767, over 43256.23 utterances.], batch size: 141, lr: 3.32e-04
+2022-09-18 05:01:51,110 INFO [train.py:885] (1/2) Epoch 14, batch 7250, loss[loss=0.3444, simple_loss=0.4342, pruned_loss=0.1273, over 13613.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08263, over 477.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3562, pruned_loss=0.1113, over 2778075.48 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07064, over 44925.64 utterances.], batch size: 477, lr: 3.32e-04
+2022-09-18 05:02:20,839 INFO [train.py:885] (1/2) Epoch 14, batch 7300, loss[loss=0.1866, simple_loss=0.2367, pruned_loss=0.06827, over 13580.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.07637, over 42.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3558, pruned_loss=0.1121, over 2780393.02 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06875, over 43878.66 utterances.], batch size: 42, lr: 3.32e-04
+2022-09-18 05:02:50,350 INFO [train.py:885] (1/2) Epoch 14, batch 7350, loss[loss=0.3998, simple_loss=0.4379, pruned_loss=0.1809, over 14234.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04263, over 306.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3626, pruned_loss=0.116, over 2783433.35 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06896, over 45960.49 utterances.], batch size: 306, lr: 3.32e-04
+2022-09-18 05:03:19,718 INFO [train.py:885] (1/2) Epoch 14, batch 7400, loss[loss=0.3338, simple_loss=0.3946, pruned_loss=0.1365, over 14344.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03663, over 195.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.3593, pruned_loss=0.1148, over 2783088.50 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06919, over 44160.52 utterances.], batch size: 195, lr: 3.32e-04
+2022-09-18 05:03:49,238 INFO [train.py:885] (1/2) Epoch 14, batch 7450, loss[loss=0.3345, simple_loss=0.4168, pruned_loss=0.1261, over 13752.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07339, over 411.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3607, pruned_loss=0.1152, over 2780724.23 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07015, over 44431.41 utterances.], batch size: 411, lr: 3.32e-04
+2022-09-18 05:04:18,598 INFO [train.py:885] (1/2) Epoch 14, batch 7500, loss[loss=0.3599, simple_loss=0.4113, pruned_loss=0.1543, over 14337.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03772, over 283.00 utterances.], tot_loss[loss=0.2971, simple_loss=0.3625, pruned_loss=0.1158, over 2780782.89 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07132, over 45255.35 utterances.], batch size: 283, lr: 3.31e-04
+2022-09-18 05:04:48,333 INFO [train.py:885] (1/2) Epoch 14, batch 7550, loss[loss=0.2144, simple_loss=0.2845, pruned_loss=0.07217, over 14105.00 frames. utt_duration=577.2 frames, utt_pad_proportion=0.05223, over 98.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3583, pruned_loss=0.1138, over 2785009.47 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06787, over 43671.38 utterances.], batch size: 98, lr: 3.31e-04
+2022-09-18 05:05:17,571 INFO [train.py:885] (1/2) Epoch 14, batch 7600, loss[loss=0.2482, simple_loss=0.3083, pruned_loss=0.09407, over 14259.00 frames. utt_duration=524.9 frames, utt_pad_proportion=0.03863, over 109.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3598, pruned_loss=0.115, over 2788386.42 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06703, over 44061.71 utterances.], batch size: 109, lr: 3.31e-04
+2022-09-18 05:05:47,287 INFO [train.py:885] (1/2) Epoch 14, batch 7650, loss[loss=0.5635, simple_loss=0.6312, pruned_loss=0.2479, over 12498.00 frames. utt_duration=63.32 frames, utt_pad_proportion=0.1443, over 810.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3598, pruned_loss=0.1147, over 2784561.90 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06863, over 44954.99 utterances.], batch size: 810, lr: 3.31e-04
+2022-09-18 05:06:17,778 INFO [train.py:885] (1/2) Epoch 14, batch 7700, loss[loss=0.2984, simple_loss=0.3763, pruned_loss=0.1102, over 14314.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03892, over 283.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3594, pruned_loss=0.1144, over 2776725.72 frames. utt_duration=245 frames, utt_pad_proportion=0.07062, over 45600.38 utterances.], batch size: 283, lr: 3.31e-04
+2022-09-18 05:06:47,378 INFO [train.py:885] (1/2) Epoch 14, batch 7750, loss[loss=0.3091, simple_loss=0.3932, pruned_loss=0.1125, over 14031.00 frames. utt_duration=155.3 frames, utt_pad_proportion=0.05324, over 365.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3594, pruned_loss=0.114, over 2780345.08 frames. utt_duration=244.2 frames, utt_pad_proportion=0.0708, over 45812.27 utterances.], batch size: 365, lr: 3.31e-04
+2022-09-18 05:07:17,045 INFO [train.py:885] (1/2) Epoch 14, batch 7800, loss[loss=0.3369, simple_loss=0.4218, pruned_loss=0.126, over 13777.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07079, over 411.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3607, pruned_loss=0.1144, over 2781618.16 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07047, over 46368.93 utterances.], batch size: 411, lr: 3.31e-04
+2022-09-18 05:07:45,781 INFO [train.py:885] (1/2) Epoch 14, batch 7850, loss[loss=0.2049, simple_loss=0.2696, pruned_loss=0.07005, over 13498.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.0882, over 50.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3579, pruned_loss=0.1132, over 2782486.78 frames. utt_duration=243.8 frames, utt_pad_proportion=0.0688, over 45934.93 utterances.], batch size: 50, lr: 3.31e-04
+2022-09-18 05:08:15,351 INFO [train.py:885] (1/2) Epoch 14, batch 7900, loss[loss=0.2017, simple_loss=0.2631, pruned_loss=0.07013, over 13628.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.0797, over 50.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3583, pruned_loss=0.1143, over 2780016.18 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06958, over 45599.49 utterances.], batch size: 50, lr: 3.31e-04
+2022-09-18 05:08:45,740 INFO [train.py:885] (1/2) Epoch 14, batch 7950, loss[loss=0.2353, simple_loss=0.3019, pruned_loss=0.08439, over 13999.00 frames. utt_duration=710.3 frames, utt_pad_proportion=0.05918, over 79.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.354, pruned_loss=0.1128, over 2784738.94 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06594, over 43142.83 utterances.], batch size: 79, lr: 3.31e-04
+2022-09-18 05:09:15,818 INFO [train.py:885] (1/2) Epoch 14, batch 8000, loss[loss=0.5283, simple_loss=0.5885, pruned_loss=0.2341, over 12481.00 frames. utt_duration=63.17 frames, utt_pad_proportion=0.1464, over 810.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.3574, pruned_loss=0.1142, over 2783188.10 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06896, over 44646.30 utterances.], batch size: 810, lr: 3.31e-04
+2022-09-18 05:09:44,930 INFO [train.py:885] (1/2) Epoch 14, batch 8050, loss[loss=0.3142, simple_loss=0.3822, pruned_loss=0.1231, over 14308.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04, over 262.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3576, pruned_loss=0.1137, over 2781530.55 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06972, over 45070.52 utterances.], batch size: 262, lr: 3.31e-04
+2022-09-18 05:10:14,897 INFO [train.py:885] (1/2) Epoch 14, batch 8100, loss[loss=0.3339, simple_loss=0.4315, pruned_loss=0.1181, over 13637.00 frames. utt_duration=98.85 frames, utt_pad_proportion=0.0762, over 560.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3599, pruned_loss=0.1156, over 2777534.57 frames. utt_duration=243 frames, utt_pad_proportion=0.0719, over 45994.99 utterances.], batch size: 560, lr: 3.31e-04
+2022-09-18 05:10:44,296 INFO [train.py:885] (1/2) Epoch 14, batch 8150, loss[loss=0.1262, simple_loss=0.1687, pruned_loss=0.04187, over 12512.00 frames. utt_duration=2087 frames, utt_pad_proportion=0.1637, over 24.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3558, pruned_loss=0.113, over 2774957.22 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07119, over 44391.86 utterances.], batch size: 24, lr: 3.31e-04
+2022-09-18 05:11:13,969 INFO [train.py:885] (1/2) Epoch 14, batch 8200, loss[loss=0.3707, simple_loss=0.4139, pruned_loss=0.1638, over 14304.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03965, over 262.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3567, pruned_loss=0.1134, over 2773136.80 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07296, over 44939.26 utterances.], batch size: 262, lr: 3.31e-04
+2022-09-18 05:11:43,050 INFO [train.py:885] (1/2) Epoch 14, batch 8250, loss[loss=0.2238, simple_loss=0.2931, pruned_loss=0.07722, over 14070.00 frames. utt_duration=575.8 frames, utt_pad_proportion=0.05451, over 98.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.357, pruned_loss=0.113, over 2775757.62 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07145, over 44924.51 utterances.], batch size: 98, lr: 3.31e-04
+2022-09-18 05:12:12,975 INFO [train.py:885] (1/2) Epoch 14, batch 8300, loss[loss=0.1771, simple_loss=0.2225, pruned_loss=0.0659, over 13066.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1216, over 33.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3612, pruned_loss=0.1143, over 2772923.14 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07474, over 47875.71 utterances.], batch size: 33, lr: 3.31e-04
+2022-09-18 05:12:42,705 INFO [train.py:885] (1/2) Epoch 14, batch 8350, loss[loss=0.3705, simple_loss=0.416, pruned_loss=0.1625, over 14216.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04378, over 306.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.364, pruned_loss=0.1164, over 2776265.75 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07289, over 47879.28 utterances.], batch size: 306, lr: 3.31e-04
+2022-09-18 05:13:11,723 INFO [train.py:885] (1/2) Epoch 14, batch 8400, loss[loss=0.2702, simple_loss=0.3371, pruned_loss=0.1016, over 14300.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.04004, over 120.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.363, pruned_loss=0.1163, over 2779034.62 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07139, over 46733.06 utterances.], batch size: 120, lr: 3.31e-04
+2022-09-18 05:13:49,781 INFO [train.py:885] (1/2) Epoch 14, batch 8450, loss[loss=0.1844, simple_loss=0.2506, pruned_loss=0.05913, over 14028.00 frames. utt_duration=803 frames, utt_pad_proportion=0.05967, over 70.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3598, pruned_loss=0.1153, over 2774253.47 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07107, over 46196.91 utterances.], batch size: 70, lr: 3.31e-04
+2022-09-18 05:14:18,612 INFO [train.py:885] (1/2) Epoch 14, batch 8500, loss[loss=0.3176, simple_loss=0.3882, pruned_loss=0.1235, over 14358.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03309, over 244.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.3581, pruned_loss=0.114, over 2775163.94 frames. utt_duration=247 frames, utt_pad_proportion=0.06988, over 45220.25 utterances.], batch size: 244, lr: 3.31e-04
+2022-09-18 05:14:48,175 INFO [train.py:885] (1/2) Epoch 14, batch 8550, loss[loss=0.4192, simple_loss=0.5017, pruned_loss=0.1683, over 13162.00 frames. utt_duration=82.17 frames, utt_pad_proportion=0.1069, over 653.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3567, pruned_loss=0.1131, over 2773116.25 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06973, over 44710.15 utterances.], batch size: 653, lr: 3.30e-04
+2022-09-18 05:15:17,323 INFO [train.py:885] (1/2) Epoch 14, batch 8600, loss[loss=0.3273, simple_loss=0.4137, pruned_loss=0.1205, over 13607.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08254, over 477.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3603, pruned_loss=0.1148, over 2778638.77 frames. utt_duration=243.2 frames, utt_pad_proportion=0.0694, over 45970.66 utterances.], batch size: 477, lr: 3.30e-04
+2022-09-18 05:15:47,809 INFO [train.py:885] (1/2) Epoch 14, batch 8650, loss[loss=0.259, simple_loss=0.3324, pruned_loss=0.09275, over 14250.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04561, over 141.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3602, pruned_loss=0.114, over 2776702.09 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07218, over 46311.88 utterances.], batch size: 141, lr: 3.30e-04
+2022-09-18 05:16:17,063 INFO [train.py:885] (1/2) Epoch 14, batch 8700, loss[loss=0.2465, simple_loss=0.3119, pruned_loss=0.09058, over 14312.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03887, over 120.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3576, pruned_loss=0.1128, over 2779969.84 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07153, over 44973.67 utterances.], batch size: 120, lr: 3.30e-04
+2022-09-18 05:16:47,419 INFO [train.py:885] (1/2) Epoch 14, batch 8750, loss[loss=0.3243, simple_loss=0.3894, pruned_loss=0.1296, over 14298.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03984, over 283.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3563, pruned_loss=0.1124, over 2774578.51 frames. utt_duration=248.3 frames, utt_pad_proportion=0.0724, over 44967.40 utterances.], batch size: 283, lr: 3.30e-04
+2022-09-18 05:17:16,670 INFO [train.py:885] (1/2) Epoch 14, batch 8800, loss[loss=0.2867, simple_loss=0.3779, pruned_loss=0.09776, over 13955.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05895, over 365.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3552, pruned_loss=0.1118, over 2774323.63 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07324, over 44631.09 utterances.], batch size: 365, lr: 3.30e-04
+2022-09-18 05:17:46,241 INFO [train.py:885] (1/2) Epoch 14, batch 8850, loss[loss=0.3178, simple_loss=0.3894, pruned_loss=0.1231, over 14306.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03929, over 283.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3559, pruned_loss=0.1116, over 2776031.08 frames. utt_duration=249.4 frames, utt_pad_proportion=0.0722, over 44785.44 utterances.], batch size: 283, lr: 3.30e-04
+2022-09-18 05:18:16,473 INFO [train.py:885] (1/2) Epoch 14, batch 8900, loss[loss=0.3553, simple_loss=0.4032, pruned_loss=0.1537, over 14252.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.0414, over 306.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3573, pruned_loss=0.1126, over 2776251.37 frames. utt_duration=245.9 frames, utt_pad_proportion=0.072, over 45426.53 utterances.], batch size: 306, lr: 3.30e-04
+2022-09-18 05:18:45,822 INFO [train.py:885] (1/2) Epoch 14, batch 8950, loss[loss=0.222, simple_loss=0.3011, pruned_loss=0.07145, over 14166.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04515, over 109.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3587, pruned_loss=0.1141, over 2777692.12 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07184, over 45312.54 utterances.], batch size: 109, lr: 3.30e-04
+2022-09-18 05:19:15,689 INFO [train.py:885] (1/2) Epoch 14, batch 9000, loss[loss=0.1781, simple_loss=0.2517, pruned_loss=0.05226, over 13550.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08014, over 50.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3601, pruned_loss=0.1147, over 2778899.76 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07131, over 45936.89 utterances.], batch size: 50, lr: 3.30e-04
+2022-09-18 05:19:15,690 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 05:19:20,471 INFO [train.py:914] (1/2) Epoch 14, validation: loss=0.1996, simple_loss=0.2788, pruned_loss=0.06025, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 05:19:48,997 INFO [train.py:885] (1/2) Epoch 14, batch 9050, loss[loss=0.2163, simple_loss=0.2818, pruned_loss=0.07537, over 13823.00 frames. utt_duration=923.1 frames, utt_pad_proportion=0.07321, over 60.00 utterances.], tot_loss[loss=0.294, simple_loss=0.3595, pruned_loss=0.1143, over 2785645.03 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06919, over 45113.47 utterances.], batch size: 60, lr: 3.30e-04
+2022-09-18 05:20:18,857 INFO [train.py:885] (1/2) Epoch 14, batch 9100, loss[loss=0.3138, simple_loss=0.4116, pruned_loss=0.108, over 13692.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07712, over 477.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3584, pruned_loss=0.1134, over 2783235.73 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06943, over 44849.05 utterances.], batch size: 477, lr: 3.30e-04
+2022-09-18 05:20:49,002 INFO [train.py:885] (1/2) Epoch 14, batch 9150, loss[loss=0.1759, simple_loss=0.256, pruned_loss=0.04794, over 14043.00 frames. utt_duration=712.4 frames, utt_pad_proportion=0.05768, over 79.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3592, pruned_loss=0.1141, over 2783434.95 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07028, over 44911.17 utterances.], batch size: 79, lr: 3.30e-04
+2022-09-18 05:21:18,829 INFO [train.py:885] (1/2) Epoch 14, batch 9200, loss[loss=0.6541, simple_loss=0.6807, pruned_loss=0.3138, over 12532.00 frames. utt_duration=63.43 frames, utt_pad_proportion=0.1429, over 810.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.36, pruned_loss=0.1147, over 2780692.83 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07227, over 45034.79 utterances.], batch size: 810, lr: 3.30e-04
+2022-09-18 05:21:48,019 INFO [train.py:885] (1/2) Epoch 14, batch 9250, loss[loss=0.306, simple_loss=0.3628, pruned_loss=0.1246, over 14265.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04087, over 225.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3574, pruned_loss=0.1133, over 2778621.71 frames. utt_duration=252 frames, utt_pad_proportion=0.07303, over 44363.44 utterances.], batch size: 225, lr: 3.30e-04
+2022-09-18 05:22:17,646 INFO [train.py:885] (1/2) Epoch 14, batch 9300, loss[loss=0.2761, simple_loss=0.3505, pruned_loss=0.1008, over 14289.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03948, over 225.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3587, pruned_loss=0.1146, over 2781624.25 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07149, over 44368.62 utterances.], batch size: 225, lr: 3.30e-04
+2022-09-18 05:22:47,137 INFO [train.py:885] (1/2) Epoch 14, batch 9350, loss[loss=0.3158, simple_loss=0.377, pruned_loss=0.1273, over 14287.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03998, over 225.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3583, pruned_loss=0.1143, over 2782666.62 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07005, over 44220.03 utterances.], batch size: 225, lr: 3.30e-04
+2022-09-18 05:23:16,861 INFO [train.py:885] (1/2) Epoch 14, batch 9400, loss[loss=0.3466, simple_loss=0.4086, pruned_loss=0.1423, over 14314.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03892, over 283.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3593, pruned_loss=0.1147, over 2780839.24 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07156, over 45199.68 utterances.], batch size: 283, lr: 3.30e-04
+2022-09-18 05:23:47,030 INFO [train.py:885] (1/2) Epoch 14, batch 9450, loss[loss=0.3061, simple_loss=0.3907, pruned_loss=0.1107, over 13947.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.06004, over 365.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.3578, pruned_loss=0.1139, over 2778537.76 frames. utt_duration=253 frames, utt_pad_proportion=0.07037, over 44187.24 utterances.], batch size: 365, lr: 3.30e-04
+2022-09-18 05:24:17,100 INFO [train.py:885] (1/2) Epoch 14, batch 9500, loss[loss=0.2427, simple_loss=0.3091, pruned_loss=0.08811, over 14024.00 frames. utt_duration=711.6 frames, utt_pad_proportion=0.06001, over 79.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3563, pruned_loss=0.1126, over 2778735.14 frames. utt_duration=254.8 frames, utt_pad_proportion=0.07095, over 43878.46 utterances.], batch size: 79, lr: 3.30e-04
+2022-09-18 05:24:46,250 INFO [train.py:885] (1/2) Epoch 14, batch 9550, loss[loss=0.1819, simple_loss=0.2547, pruned_loss=0.05455, over 13461.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.09309, over 50.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3527, pruned_loss=0.1107, over 2783621.33 frames. utt_duration=262.2 frames, utt_pad_proportion=0.06856, over 42698.22 utterances.], batch size: 50, lr: 3.30e-04
+2022-09-18 05:25:15,578 INFO [train.py:885] (1/2) Epoch 14, batch 9600, loss[loss=0.258, simple_loss=0.3192, pruned_loss=0.09835, over 14023.00 frames. utt_duration=573.9 frames, utt_pad_proportion=0.05915, over 98.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.353, pruned_loss=0.1108, over 2781464.71 frames. utt_duration=260.3 frames, utt_pad_proportion=0.06858, over 42977.32 utterances.], batch size: 98, lr: 3.29e-04
+2022-09-18 05:25:45,024 INFO [train.py:885] (1/2) Epoch 14, batch 9650, loss[loss=0.295, simple_loss=0.3583, pruned_loss=0.1158, over 14318.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.04128, over 141.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3565, pruned_loss=0.1129, over 2782485.09 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06934, over 43659.17 utterances.], batch size: 141, lr: 3.29e-04
+2022-09-18 05:26:14,916 INFO [train.py:885] (1/2) Epoch 14, batch 9700, loss[loss=0.3433, simple_loss=0.4026, pruned_loss=0.142, over 14328.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03872, over 262.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3579, pruned_loss=0.1134, over 2787679.76 frames. utt_duration=252 frames, utt_pad_proportion=0.06766, over 44504.93 utterances.], batch size: 262, lr: 3.29e-04
+2022-09-18 05:26:44,801 INFO [train.py:885] (1/2) Epoch 14, batch 9750, loss[loss=0.6586, simple_loss=0.6863, pruned_loss=0.3154, over 12490.00 frames. utt_duration=63.25 frames, utt_pad_proportion=0.1453, over 810.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3576, pruned_loss=0.1133, over 2779439.95 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06992, over 44580.35 utterances.], batch size: 810, lr: 3.29e-04
+2022-09-18 05:27:13,912 INFO [train.py:885] (1/2) Epoch 14, batch 9800, loss[loss=0.2361, simple_loss=0.2932, pruned_loss=0.08947, over 13875.00 frames. utt_duration=805.7 frames, utt_pad_proportion=0.06205, over 69.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3569, pruned_loss=0.1126, over 2780049.46 frames. utt_duration=252 frames, utt_pad_proportion=0.06954, over 44382.06 utterances.], batch size: 69, lr: 3.29e-04
+2022-09-18 05:27:43,599 INFO [train.py:885] (1/2) Epoch 14, batch 9850, loss[loss=0.2648, simple_loss=0.3343, pruned_loss=0.09761, over 14260.00 frames. utt_duration=406 frames, utt_pad_proportion=0.0424, over 141.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3559, pruned_loss=0.1126, over 2780299.96 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07113, over 43846.42 utterances.], batch size: 141, lr: 3.29e-04
+2022-09-18 05:28:13,101 INFO [train.py:885] (1/2) Epoch 14, batch 9900, loss[loss=0.3405, simple_loss=0.4348, pruned_loss=0.1231, over 13626.00 frames. utt_duration=98.64 frames, utt_pad_proportion=0.07809, over 560.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3556, pruned_loss=0.112, over 2786845.99 frames. utt_duration=259.8 frames, utt_pad_proportion=0.06744, over 43145.52 utterances.], batch size: 560, lr: 3.29e-04
+2022-09-18 05:28:43,357 INFO [train.py:885] (1/2) Epoch 14, batch 9950, loss[loss=0.4828, simple_loss=0.4942, pruned_loss=0.2357, over 14315.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03884, over 283.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3552, pruned_loss=0.1125, over 2785682.65 frames. utt_duration=262.4 frames, utt_pad_proportion=0.06758, over 42709.24 utterances.], batch size: 283, lr: 3.29e-04
+2022-09-18 05:29:13,342 INFO [train.py:885] (1/2) Epoch 14, batch 10000, loss[loss=0.3006, simple_loss=0.3795, pruned_loss=0.1109, over 14314.00 frames. utt_duration=274 frames, utt_pad_proportion=0.03523, over 210.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3616, pruned_loss=0.1154, over 2782771.89 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07106, over 45742.90 utterances.], batch size: 210, lr: 3.29e-04
+2022-09-18 05:29:42,318 INFO [train.py:885] (1/2) Epoch 14, batch 10050, loss[loss=0.1688, simple_loss=0.2311, pruned_loss=0.05324, over 13592.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08482, over 50.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.36, pruned_loss=0.1146, over 2787157.56 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06844, over 45055.42 utterances.], batch size: 50, lr: 3.29e-04
+2022-09-18 05:30:12,377 INFO [train.py:885] (1/2) Epoch 14, batch 10100, loss[loss=0.2008, simple_loss=0.2522, pruned_loss=0.07466, over 12141.00 frames. utt_duration=2025 frames, utt_pad_proportion=0.1736, over 24.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3568, pruned_loss=0.1122, over 2782143.87 frames. utt_duration=253.7 frames, utt_pad_proportion=0.0688, over 44121.36 utterances.], batch size: 24, lr: 3.29e-04
+2022-09-18 05:30:42,128 INFO [train.py:885] (1/2) Epoch 14, batch 10150, loss[loss=0.679, simple_loss=0.7171, pruned_loss=0.3205, over 12519.00 frames. utt_duration=63.35 frames, utt_pad_proportion=0.1439, over 811.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3609, pruned_loss=0.1149, over 2777829.80 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07273, over 45400.63 utterances.], batch size: 811, lr: 3.29e-04
+2022-09-18 05:31:11,314 INFO [train.py:885] (1/2) Epoch 14, batch 10200, loss[loss=0.2883, simple_loss=0.3478, pruned_loss=0.1144, over 14292.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.03903, over 130.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3626, pruned_loss=0.1163, over 2778870.11 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07222, over 45709.54 utterances.], batch size: 130, lr: 3.29e-04
+2022-09-18 05:31:41,163 INFO [train.py:885] (1/2) Epoch 14, batch 10250, loss[loss=0.1569, simple_loss=0.2287, pruned_loss=0.04248, over 13225.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.112, over 33.00 utterances.], tot_loss[loss=0.3005, simple_loss=0.3653, pruned_loss=0.1179, over 2781039.31 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07111, over 46423.88 utterances.], batch size: 33, lr: 3.29e-04
+2022-09-18 05:32:10,814 INFO [train.py:885] (1/2) Epoch 14, batch 10300, loss[loss=0.3185, simple_loss=0.3803, pruned_loss=0.1284, over 14372.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03745, over 167.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.3644, pruned_loss=0.1172, over 2776370.76 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07369, over 46887.34 utterances.], batch size: 167, lr: 3.29e-04
+2022-09-18 05:32:40,701 INFO [train.py:885] (1/2) Epoch 14, batch 10350, loss[loss=0.2164, simple_loss=0.2944, pruned_loss=0.06919, over 14131.00 frames. utt_duration=578.3 frames, utt_pad_proportion=0.05197, over 98.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3639, pruned_loss=0.117, over 2778412.70 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07215, over 46518.84 utterances.], batch size: 98, lr: 3.29e-04
+2022-09-18 05:33:10,576 INFO [train.py:885] (1/2) Epoch 14, batch 10400, loss[loss=0.303, simple_loss=0.3798, pruned_loss=0.1131, over 14337.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.0379, over 262.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3622, pruned_loss=0.1159, over 2780367.13 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07205, over 46150.34 utterances.], batch size: 262, lr: 3.29e-04
+2022-09-18 05:33:40,079 INFO [train.py:885] (1/2) Epoch 14, batch 10450, loss[loss=0.3461, simple_loss=0.4261, pruned_loss=0.1331, over 13812.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06948, over 411.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3601, pruned_loss=0.1137, over 2776841.46 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07232, over 45941.74 utterances.], batch size: 411, lr: 3.29e-04
+2022-09-18 05:34:09,680 INFO [train.py:885] (1/2) Epoch 14, batch 10500, loss[loss=0.204, simple_loss=0.276, pruned_loss=0.066, over 14233.00 frames. utt_duration=641.2 frames, utt_pad_proportion=0.0458, over 89.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3606, pruned_loss=0.1146, over 2778495.73 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07304, over 45529.86 utterances.], batch size: 89, lr: 3.29e-04
+2022-09-18 05:34:38,900 INFO [train.py:885] (1/2) Epoch 14, batch 10550, loss[loss=0.4501, simple_loss=0.5026, pruned_loss=0.1988, over 13826.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.0706, over 412.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3607, pruned_loss=0.1153, over 2777591.09 frames. utt_duration=248 frames, utt_pad_proportion=0.0718, over 45075.33 utterances.], batch size: 412, lr: 3.29e-04
+2022-09-18 05:35:08,681 INFO [train.py:885] (1/2) Epoch 14, batch 10600, loss[loss=0.2838, simple_loss=0.3578, pruned_loss=0.1049, over 14332.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03733, over 195.00 utterances.], tot_loss[loss=0.298, simple_loss=0.3627, pruned_loss=0.1166, over 2780345.63 frames. utt_duration=243.5 frames, utt_pad_proportion=0.0723, over 45961.02 utterances.], batch size: 195, lr: 3.29e-04
+2022-09-18 05:35:38,445 INFO [train.py:885] (1/2) Epoch 14, batch 10650, loss[loss=0.2727, simple_loss=0.3393, pruned_loss=0.103, over 14218.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.04783, over 141.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3607, pruned_loss=0.1151, over 2774434.78 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07279, over 45624.95 utterances.], batch size: 141, lr: 3.28e-04
+2022-09-18 05:36:07,985 INFO [train.py:885] (1/2) Epoch 14, batch 10700, loss[loss=0.331, simple_loss=0.4224, pruned_loss=0.1198, over 13589.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.08414, over 477.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3614, pruned_loss=0.1152, over 2775953.97 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07297, over 45740.05 utterances.], batch size: 477, lr: 3.28e-04
+2022-09-18 05:36:37,091 INFO [train.py:885] (1/2) Epoch 14, batch 10750, loss[loss=0.2616, simple_loss=0.3249, pruned_loss=0.09912, over 14084.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05525, over 98.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3617, pruned_loss=0.1148, over 2780613.39 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07267, over 45841.28 utterances.], batch size: 98, lr: 3.28e-04
+2022-09-18 05:37:06,338 INFO [train.py:885] (1/2) Epoch 14, batch 10800, loss[loss=0.3864, simple_loss=0.4327, pruned_loss=0.17, over 14225.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04358, over 335.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3628, pruned_loss=0.1151, over 2778810.24 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07255, over 46846.39 utterances.], batch size: 335, lr: 3.28e-04
+2022-09-18 05:37:36,364 INFO [train.py:885] (1/2) Epoch 14, batch 10850, loss[loss=0.2805, simple_loss=0.3469, pruned_loss=0.107, over 14309.00 frames. utt_duration=344.1 frames, utt_pad_proportion=0.04157, over 167.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.3635, pruned_loss=0.1161, over 2778926.66 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07245, over 46763.16 utterances.], batch size: 167, lr: 3.28e-04
+2022-09-18 05:38:05,735 INFO [train.py:885] (1/2) Epoch 14, batch 10900, loss[loss=0.2366, simple_loss=0.2999, pruned_loss=0.08663, over 14086.00 frames. utt_duration=576.4 frames, utt_pad_proportion=0.0535, over 98.00 utterances.], tot_loss[loss=0.2987, simple_loss=0.3645, pruned_loss=0.1164, over 2780232.91 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07364, over 47233.27 utterances.], batch size: 98, lr: 3.28e-04
+2022-09-18 05:38:36,797 INFO [train.py:885] (1/2) Epoch 14, batch 10950, loss[loss=0.2189, simple_loss=0.2834, pruned_loss=0.07715, over 13622.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.07748, over 50.00 utterances.], tot_loss[loss=0.298, simple_loss=0.3634, pruned_loss=0.1163, over 2778049.99 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07252, over 46816.75 utterances.], batch size: 50, lr: 3.28e-04
+2022-09-18 05:39:05,450 INFO [train.py:885] (1/2) Epoch 14, batch 11000, loss[loss=0.3193, simple_loss=0.3815, pruned_loss=0.1285, over 14308.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04022, over 262.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3647, pruned_loss=0.1177, over 2776945.98 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07272, over 46637.82 utterances.], batch size: 262, lr: 3.28e-04
+2022-09-18 05:39:35,685 INFO [train.py:885] (1/2) Epoch 14, batch 11050, loss[loss=0.3875, simple_loss=0.4368, pruned_loss=0.1691, over 14325.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03902, over 262.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.3617, pruned_loss=0.1152, over 2776677.47 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07241, over 46190.17 utterances.], batch size: 262, lr: 3.28e-04
+2022-09-18 05:40:05,336 INFO [train.py:885] (1/2) Epoch 14, batch 11100, loss[loss=0.3149, simple_loss=0.379, pruned_loss=0.1255, over 14286.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03959, over 180.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3598, pruned_loss=0.1142, over 2778564.94 frames. utt_duration=247.2 frames, utt_pad_proportion=0.0713, over 45224.34 utterances.], batch size: 180, lr: 3.28e-04
+2022-09-18 05:40:35,453 INFO [train.py:885] (1/2) Epoch 14, batch 11150, loss[loss=0.3097, simple_loss=0.3821, pruned_loss=0.1187, over 14356.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03549, over 210.00 utterances.], tot_loss[loss=0.2963, simple_loss=0.3629, pruned_loss=0.1148, over 2775773.60 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07373, over 47169.91 utterances.], batch size: 210, lr: 3.28e-04
+2022-09-18 05:41:04,860 INFO [train.py:885] (1/2) Epoch 14, batch 11200, loss[loss=0.3423, simple_loss=0.4044, pruned_loss=0.1401, over 14189.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04545, over 306.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3598, pruned_loss=0.1136, over 2782087.63 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06964, over 45707.86 utterances.], batch size: 306, lr: 3.28e-04
+2022-09-18 05:41:34,828 INFO [train.py:885] (1/2) Epoch 14, batch 11250, loss[loss=0.4354, simple_loss=0.5163, pruned_loss=0.1772, over 13184.00 frames. utt_duration=82.26 frames, utt_pad_proportion=0.1058, over 653.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3615, pruned_loss=0.1147, over 2783048.81 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07091, over 46413.76 utterances.], batch size: 653, lr: 3.28e-04
+2022-09-18 05:42:04,642 INFO [train.py:885] (1/2) Epoch 14, batch 11300, loss[loss=0.3425, simple_loss=0.3965, pruned_loss=0.1442, over 14337.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03676, over 210.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3609, pruned_loss=0.1136, over 2782573.64 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07127, over 46686.79 utterances.], batch size: 210, lr: 3.28e-04
+2022-09-18 05:42:34,187 INFO [train.py:885] (1/2) Epoch 14, batch 11350, loss[loss=0.3781, simple_loss=0.4287, pruned_loss=0.1637, over 14351.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03621, over 195.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3625, pruned_loss=0.1152, over 2782031.06 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07255, over 46963.77 utterances.], batch size: 195, lr: 3.28e-04
+2022-09-18 05:43:03,909 INFO [train.py:885] (1/2) Epoch 14, batch 11400, loss[loss=0.3418, simple_loss=0.4284, pruned_loss=0.1276, over 13616.00 frames. utt_duration=98.6 frames, utt_pad_proportion=0.07847, over 560.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.3638, pruned_loss=0.1159, over 2783589.43 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07098, over 47231.90 utterances.], batch size: 560, lr: 3.28e-04
+2022-09-18 05:43:33,081 INFO [train.py:885] (1/2) Epoch 14, batch 11450, loss[loss=0.206, simple_loss=0.2546, pruned_loss=0.07867, over 13834.00 frames. utt_duration=923.9 frames, utt_pad_proportion=0.07151, over 60.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3569, pruned_loss=0.1124, over 2784536.24 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06867, over 45071.64 utterances.], batch size: 60, lr: 3.28e-04
+2022-09-18 05:44:03,068 INFO [train.py:885] (1/2) Epoch 14, batch 11500, loss[loss=0.1914, simple_loss=0.2626, pruned_loss=0.06011, over 13989.00 frames. utt_duration=801.1 frames, utt_pad_proportion=0.06415, over 70.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3598, pruned_loss=0.1142, over 2783854.69 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06984, over 45497.42 utterances.], batch size: 70, lr: 3.28e-04
+2022-09-18 05:44:33,081 INFO [train.py:885] (1/2) Epoch 14, batch 11550, loss[loss=0.2553, simple_loss=0.3091, pruned_loss=0.1008, over 13981.00 frames. utt_duration=709.4 frames, utt_pad_proportion=0.06041, over 79.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3645, pruned_loss=0.117, over 2783825.63 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07041, over 46956.50 utterances.], batch size: 79, lr: 3.28e-04
+2022-09-18 05:45:02,216 INFO [train.py:885] (1/2) Epoch 14, batch 11600, loss[loss=0.2076, simple_loss=0.2903, pruned_loss=0.06244, over 12516.00 frames. utt_duration=2087 frames, utt_pad_proportion=0.1546, over 24.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3634, pruned_loss=0.1165, over 2790218.40 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06681, over 45378.58 utterances.], batch size: 24, lr: 3.28e-04
+2022-09-18 05:45:31,213 INFO [train.py:885] (1/2) Epoch 14, batch 11650, loss[loss=0.4462, simple_loss=0.4698, pruned_loss=0.2113, over 14250.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04244, over 335.00 utterances.], tot_loss[loss=0.2972, simple_loss=0.3627, pruned_loss=0.1159, over 2785085.36 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07043, over 45631.00 utterances.], batch size: 335, lr: 3.28e-04
+2022-09-18 05:46:01,121 INFO [train.py:885] (1/2) Epoch 14, batch 11700, loss[loss=0.3245, simple_loss=0.3847, pruned_loss=0.1321, over 14343.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03684, over 283.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3625, pruned_loss=0.1155, over 2787052.06 frames. utt_duration=243.6 frames, utt_pad_proportion=0.0694, over 46049.16 utterances.], batch size: 283, lr: 3.27e-04
+2022-09-18 05:46:31,236 INFO [train.py:885] (1/2) Epoch 14, batch 11750, loss[loss=0.4032, simple_loss=0.4391, pruned_loss=0.1837, over 14336.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03464, over 244.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3622, pruned_loss=0.1151, over 2782980.62 frames. utt_duration=242 frames, utt_pad_proportion=0.06999, over 46288.82 utterances.], batch size: 244, lr: 3.27e-04
+2022-09-18 05:47:00,409 INFO [train.py:885] (1/2) Epoch 14, batch 11800, loss[loss=0.3162, simple_loss=0.4095, pruned_loss=0.1115, over 13679.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07825, over 477.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3607, pruned_loss=0.1142, over 2784343.48 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07066, over 45883.43 utterances.], batch size: 477, lr: 3.27e-04
+2022-09-18 05:47:29,688 INFO [train.py:885] (1/2) Epoch 14, batch 11850, loss[loss=0.2404, simple_loss=0.3235, pruned_loss=0.07861, over 14328.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03628, over 130.00 utterances.], tot_loss[loss=0.2971, simple_loss=0.363, pruned_loss=0.1156, over 2783944.67 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07062, over 46838.93 utterances.], batch size: 130, lr: 3.27e-04
+2022-09-18 05:47:59,829 INFO [train.py:885] (1/2) Epoch 14, batch 11900, loss[loss=0.4889, simple_loss=0.5734, pruned_loss=0.2022, over 12487.00 frames. utt_duration=63.31 frames, utt_pad_proportion=0.1445, over 810.00 utterances.], tot_loss[loss=0.2998, simple_loss=0.3658, pruned_loss=0.1168, over 2782345.78 frames. utt_duration=232.1 frames, utt_pad_proportion=0.0734, over 48267.32 utterances.], batch size: 810, lr: 3.27e-04
+2022-09-18 05:48:30,050 INFO [train.py:885] (1/2) Epoch 14, batch 11950, loss[loss=0.2937, simple_loss=0.3535, pruned_loss=0.1169, over 14295.00 frames. utt_duration=407 frames, utt_pad_proportion=0.04247, over 141.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3646, pruned_loss=0.117, over 2782744.93 frames. utt_duration=239 frames, utt_pad_proportion=0.07148, over 46869.26 utterances.], batch size: 141, lr: 3.27e-04
+2022-09-18 05:48:59,393 INFO [train.py:885] (1/2) Epoch 14, batch 12000, loss[loss=0.1597, simple_loss=0.2221, pruned_loss=0.04868, over 13330.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08881, over 41.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3648, pruned_loss=0.1175, over 2779934.81 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07409, over 46892.68 utterances.], batch size: 41, lr: 3.27e-04
+2022-09-18 05:48:59,394 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 05:49:03,543 INFO [train.py:914] (1/2) Epoch 14, validation: loss=0.2034, simple_loss=0.2819, pruned_loss=0.06241, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 05:49:32,983 INFO [train.py:885] (1/2) Epoch 14, batch 12050, loss[loss=0.2742, simple_loss=0.3563, pruned_loss=0.09608, over 14328.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03746, over 210.00 utterances.], tot_loss[loss=0.3007, simple_loss=0.3658, pruned_loss=0.1177, over 2776556.30 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07396, over 47390.99 utterances.], batch size: 210, lr: 3.27e-04
+2022-09-18 05:50:02,687 INFO [train.py:885] (1/2) Epoch 14, batch 12100, loss[loss=0.2824, simple_loss=0.3575, pruned_loss=0.1037, over 14310.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03755, over 180.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.3638, pruned_loss=0.1163, over 2776814.91 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07463, over 46735.23 utterances.], batch size: 180, lr: 3.27e-04
+2022-09-18 05:50:31,693 INFO [train.py:885] (1/2) Epoch 14, batch 12150, loss[loss=0.3564, simple_loss=0.4128, pruned_loss=0.15, over 14394.00 frames. utt_duration=237.5 frames, utt_pad_proportion=0.03076, over 244.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3626, pruned_loss=0.116, over 2779311.77 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07296, over 45934.84 utterances.], batch size: 244, lr: 3.27e-04
+2022-09-18 05:51:01,973 INFO [train.py:885] (1/2) Epoch 14, batch 12200, loss[loss=0.7243, simple_loss=0.7267, pruned_loss=0.3609, over 12453.00 frames. utt_duration=63.11 frames, utt_pad_proportion=0.1472, over 810.00 utterances.], tot_loss[loss=0.3035, simple_loss=0.3679, pruned_loss=0.1195, over 2778866.01 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07343, over 47752.15 utterances.], batch size: 810, lr: 3.27e-04
+2022-09-18 05:51:31,659 INFO [train.py:885] (1/2) Epoch 14, batch 12250, loss[loss=0.2381, simple_loss=0.3033, pruned_loss=0.08646, over 14138.00 frames. utt_duration=809.4 frames, utt_pad_proportion=0.05556, over 70.00 utterances.], tot_loss[loss=0.3022, simple_loss=0.3662, pruned_loss=0.1191, over 2779355.25 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07245, over 46862.32 utterances.], batch size: 70, lr: 3.27e-04
+2022-09-18 05:52:00,816 INFO [train.py:885] (1/2) Epoch 14, batch 12300, loss[loss=0.3932, simple_loss=0.4619, pruned_loss=0.1623, over 13732.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07379, over 411.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3625, pruned_loss=0.1163, over 2779375.62 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07313, over 45514.54 utterances.], batch size: 411, lr: 3.27e-04
+2022-09-18 05:52:30,338 INFO [train.py:885] (1/2) Epoch 14, batch 12350, loss[loss=0.2893, simple_loss=0.3318, pruned_loss=0.1234, over 14290.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04347, over 110.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3639, pruned_loss=0.1169, over 2782714.28 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07187, over 45859.31 utterances.], batch size: 110, lr: 3.27e-04
+2022-09-18 05:52:59,575 INFO [train.py:885] (1/2) Epoch 14, batch 12400, loss[loss=0.2232, simple_loss=0.2791, pruned_loss=0.08363, over 12570.00 frames. utt_duration=2096 frames, utt_pad_proportion=0.1433, over 24.00 utterances.], tot_loss[loss=0.2971, simple_loss=0.3618, pruned_loss=0.1162, over 2777542.73 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07218, over 45486.30 utterances.], batch size: 24, lr: 3.27e-04
+2022-09-18 05:53:28,889 INFO [train.py:885] (1/2) Epoch 14, batch 12450, loss[loss=0.2036, simple_loss=0.2723, pruned_loss=0.06744, over 13560.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08577, over 50.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3603, pruned_loss=0.1153, over 2774686.56 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07332, over 45214.01 utterances.], batch size: 50, lr: 3.27e-04
+2022-09-18 05:53:58,391 INFO [train.py:885] (1/2) Epoch 14, batch 12500, loss[loss=0.2744, simple_loss=0.3525, pruned_loss=0.09813, over 14332.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.03894, over 154.00 utterances.], tot_loss[loss=0.2976, simple_loss=0.3626, pruned_loss=0.1163, over 2776435.11 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07421, over 46411.34 utterances.], batch size: 154, lr: 3.27e-04
+2022-09-18 05:54:27,941 INFO [train.py:885] (1/2) Epoch 14, batch 12550, loss[loss=0.297, simple_loss=0.3689, pruned_loss=0.1125, over 14348.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03698, over 262.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.363, pruned_loss=0.1168, over 2779247.78 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07354, over 46323.86 utterances.], batch size: 262, lr: 3.27e-04
+2022-09-18 05:54:55,641 INFO [train.py:885] (1/2) Epoch 14, batch 12600, loss[loss=0.3905, simple_loss=0.4385, pruned_loss=0.1712, over 14215.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04397, over 306.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3606, pruned_loss=0.1153, over 2781460.04 frames. utt_duration=245.5 frames, utt_pad_proportion=0.0711, over 45600.37 utterances.], batch size: 306, lr: 3.27e-04
+2022-09-18 05:55:14,912 INFO [train.py:885] (1/2) Epoch 15, batch 0, loss[loss=0.267, simple_loss=0.3334, pruned_loss=0.1003, over 14215.00 frames. utt_duration=518.3 frames, utt_pad_proportion=0.04891, over 110.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3334, pruned_loss=0.1003, over 14215.00 frames. utt_duration=518.3 frames, utt_pad_proportion=0.04891, over 110.00 utterances.], batch size: 110, lr: 3.17e-04
+2022-09-18 05:55:44,955 INFO [train.py:885] (1/2) Epoch 15, batch 50, loss[loss=0.2965, simple_loss=0.3561, pruned_loss=0.1184, over 14322.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03498, over 154.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3501, pruned_loss=0.1102, over 629200.06 frames. utt_duration=283.7 frames, utt_pad_proportion=0.05825, over 8916.65 utterances.], batch size: 154, lr: 3.17e-04
+2022-09-18 05:56:14,143 INFO [train.py:885] (1/2) Epoch 15, batch 100, loss[loss=0.3426, simple_loss=0.4236, pruned_loss=0.1308, over 13775.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07129, over 411.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3607, pruned_loss=0.1151, over 1104757.11 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07092, over 18200.67 utterances.], batch size: 411, lr: 3.17e-04
+2022-09-18 05:56:43,877 INFO [train.py:885] (1/2) Epoch 15, batch 150, loss[loss=0.1981, simple_loss=0.2625, pruned_loss=0.06688, over 13842.00 frames. utt_duration=803.9 frames, utt_pad_proportion=0.06302, over 69.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3567, pruned_loss=0.1125, over 1474356.57 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07066, over 23868.77 utterances.], batch size: 69, lr: 3.17e-04
+2022-09-18 05:57:13,120 INFO [train.py:885] (1/2) Epoch 15, batch 200, loss[loss=0.3179, simple_loss=0.3832, pruned_loss=0.1263, over 14242.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04277, over 335.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3547, pruned_loss=0.1108, over 1760616.19 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07184, over 28460.93 utterances.], batch size: 335, lr: 3.17e-04
+2022-09-18 05:57:42,826 INFO [train.py:885] (1/2) Epoch 15, batch 250, loss[loss=0.3655, simple_loss=0.4184, pruned_loss=0.1563, over 14212.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0441, over 306.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.357, pruned_loss=0.1137, over 1986206.82 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07393, over 31679.06 utterances.], batch size: 306, lr: 3.16e-04
+2022-09-18 05:58:13,496 INFO [train.py:885] (1/2) Epoch 15, batch 300, loss[loss=0.2809, simple_loss=0.335, pruned_loss=0.1133, over 14206.00 frames. utt_duration=581.1 frames, utt_pad_proportion=0.04731, over 98.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.3583, pruned_loss=0.1137, over 2158126.72 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07587, over 35418.12 utterances.], batch size: 98, lr: 3.16e-04
+2022-09-18 05:58:42,112 INFO [train.py:885] (1/2) Epoch 15, batch 350, loss[loss=0.314, simple_loss=0.3735, pruned_loss=0.1272, over 14299.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03865, over 180.00 utterances.], tot_loss[loss=0.2947, simple_loss=0.3608, pruned_loss=0.1143, over 2299370.00 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07321, over 38786.57 utterances.], batch size: 180, lr: 3.16e-04
+2022-09-18 05:59:11,778 INFO [train.py:885] (1/2) Epoch 15, batch 400, loss[loss=0.2602, simple_loss=0.3291, pruned_loss=0.09563, over 14161.00 frames. utt_duration=521 frames, utt_pad_proportion=0.04577, over 109.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3621, pruned_loss=0.1155, over 2407199.35 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07273, over 40238.30 utterances.], batch size: 109, lr: 3.16e-04
+2022-09-18 05:59:41,651 INFO [train.py:885] (1/2) Epoch 15, batch 450, loss[loss=0.3007, simple_loss=0.3645, pruned_loss=0.1184, over 14248.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.04432, over 154.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.362, pruned_loss=0.1145, over 2492969.58 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07122, over 41828.21 utterances.], batch size: 154, lr: 3.16e-04
+2022-09-18 06:00:11,297 INFO [train.py:885] (1/2) Epoch 15, batch 500, loss[loss=0.3322, simple_loss=0.4148, pruned_loss=0.1248, over 13763.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07224, over 411.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3627, pruned_loss=0.1142, over 2557952.42 frames. utt_duration=235.9 frames, utt_pad_proportion=0.06967, over 43652.95 utterances.], batch size: 411, lr: 3.16e-04
+2022-09-18 06:00:40,296 INFO [train.py:885] (1/2) Epoch 15, batch 550, loss[loss=0.324, simple_loss=0.3834, pruned_loss=0.1323, over 14336.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.0373, over 195.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.3603, pruned_loss=0.1127, over 2607759.71 frames. utt_duration=241.6 frames, utt_pad_proportion=0.0692, over 43431.84 utterances.], batch size: 195, lr: 3.16e-04
+2022-09-18 06:01:09,877 INFO [train.py:885] (1/2) Epoch 15, batch 600, loss[loss=0.2839, simple_loss=0.38, pruned_loss=0.0939, over 13788.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07083, over 411.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3643, pruned_loss=0.1158, over 2645854.00 frames. utt_duration=235.8 frames, utt_pad_proportion=0.06904, over 45162.16 utterances.], batch size: 411, lr: 3.16e-04
+2022-09-18 06:01:39,476 INFO [train.py:885] (1/2) Epoch 15, batch 650, loss[loss=0.1859, simple_loss=0.2389, pruned_loss=0.06645, over 13895.00 frames. utt_duration=927.8 frames, utt_pad_proportion=0.06477, over 60.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3577, pruned_loss=0.1126, over 2673053.09 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07051, over 43297.41 utterances.], batch size: 60, lr: 3.16e-04
+2022-09-18 06:02:09,536 INFO [train.py:885] (1/2) Epoch 15, batch 700, loss[loss=0.1489, simple_loss=0.2138, pruned_loss=0.04198, over 13656.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08765, over 42.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3582, pruned_loss=0.1127, over 2695515.03 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07142, over 44431.89 utterances.], batch size: 42, lr: 3.16e-04
+2022-09-18 06:02:39,263 INFO [train.py:885] (1/2) Epoch 15, batch 750, loss[loss=0.4571, simple_loss=0.5236, pruned_loss=0.1953, over 13167.00 frames. utt_duration=82.13 frames, utt_pad_proportion=0.1072, over 653.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3596, pruned_loss=0.1132, over 2712843.53 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07204, over 45087.69 utterances.], batch size: 653, lr: 3.16e-04
+2022-09-18 06:03:08,649 INFO [train.py:885] (1/2) Epoch 15, batch 800, loss[loss=0.1957, simple_loss=0.2557, pruned_loss=0.06786, over 13965.00 frames. utt_duration=810.9 frames, utt_pad_proportion=0.05485, over 69.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.361, pruned_loss=0.1143, over 2727704.96 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07292, over 45732.01 utterances.], batch size: 69, lr: 3.16e-04
+2022-09-18 06:03:38,493 INFO [train.py:885] (1/2) Epoch 15, batch 850, loss[loss=0.2448, simple_loss=0.3107, pruned_loss=0.08948, over 14277.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.04137, over 120.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3575, pruned_loss=0.1122, over 2743475.79 frames. utt_duration=248.2 frames, utt_pad_proportion=0.0712, over 44480.10 utterances.], batch size: 120, lr: 3.16e-04
+2022-09-18 06:04:07,987 INFO [train.py:885] (1/2) Epoch 15, batch 900, loss[loss=0.699, simple_loss=0.7185, pruned_loss=0.3397, over 12493.00 frames. utt_duration=63.21 frames, utt_pad_proportion=0.1458, over 810.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3588, pruned_loss=0.1133, over 2749935.87 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07172, over 44930.81 utterances.], batch size: 810, lr: 3.16e-04
+2022-09-18 06:04:37,349 INFO [train.py:885] (1/2) Epoch 15, batch 950, loss[loss=0.3327, simple_loss=0.3892, pruned_loss=0.1381, over 14245.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04227, over 225.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3603, pruned_loss=0.1142, over 2761147.79 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07051, over 44920.85 utterances.], batch size: 225, lr: 3.16e-04
+2022-09-18 06:05:06,480 INFO [train.py:885] (1/2) Epoch 15, batch 1000, loss[loss=0.1563, simple_loss=0.219, pruned_loss=0.04685, over 12157.00 frames. utt_duration=2028 frames, utt_pad_proportion=0.172, over 24.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3593, pruned_loss=0.114, over 2766045.81 frames. utt_duration=251 frames, utt_pad_proportion=0.06984, over 44339.89 utterances.], batch size: 24, lr: 3.16e-04
+2022-09-18 06:05:44,370 INFO [train.py:885] (1/2) Epoch 15, batch 1050, loss[loss=0.191, simple_loss=0.2494, pruned_loss=0.06629, over 12337.00 frames. utt_duration=2058 frames, utt_pad_proportion=0.1571, over 24.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3581, pruned_loss=0.1135, over 2765034.63 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06922, over 43327.91 utterances.], batch size: 24, lr: 3.16e-04
+2022-09-18 06:06:13,796 INFO [train.py:885] (1/2) Epoch 15, batch 1100, loss[loss=0.5597, simple_loss=0.6225, pruned_loss=0.2485, over 12446.00 frames. utt_duration=63.03 frames, utt_pad_proportion=0.1482, over 810.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3609, pruned_loss=0.1152, over 2768352.87 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07116, over 44353.83 utterances.], batch size: 810, lr: 3.16e-04
+2022-09-18 06:06:43,499 INFO [train.py:885] (1/2) Epoch 15, batch 1150, loss[loss=0.1871, simple_loss=0.2718, pruned_loss=0.05119, over 13866.00 frames. utt_duration=926 frames, utt_pad_proportion=0.06938, over 60.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3599, pruned_loss=0.1143, over 2773556.14 frames. utt_duration=254.3 frames, utt_pad_proportion=0.07017, over 43877.89 utterances.], batch size: 60, lr: 3.16e-04
+2022-09-18 06:07:13,146 INFO [train.py:885] (1/2) Epoch 15, batch 1200, loss[loss=0.2133, simple_loss=0.2777, pruned_loss=0.0745, over 13928.00 frames. utt_duration=929.9 frames, utt_pad_proportion=0.06541, over 60.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3587, pruned_loss=0.1138, over 2776390.93 frames. utt_duration=255.8 frames, utt_pad_proportion=0.07079, over 43674.72 utterances.], batch size: 60, lr: 3.16e-04
+2022-09-18 06:07:42,661 INFO [train.py:885] (1/2) Epoch 15, batch 1250, loss[loss=0.275, simple_loss=0.3555, pruned_loss=0.0972, over 14294.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.0389, over 130.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3555, pruned_loss=0.1128, over 2775778.53 frames. utt_duration=263.2 frames, utt_pad_proportion=0.07066, over 42423.24 utterances.], batch size: 130, lr: 3.16e-04
+2022-09-18 06:08:12,580 INFO [train.py:885] (1/2) Epoch 15, batch 1300, loss[loss=0.206, simple_loss=0.2857, pruned_loss=0.06318, over 14103.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05423, over 98.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3537, pruned_loss=0.1112, over 2776127.37 frames. utt_duration=262.8 frames, utt_pad_proportion=0.06849, over 42491.93 utterances.], batch size: 98, lr: 3.16e-04
+2022-09-18 06:08:42,212 INFO [train.py:885] (1/2) Epoch 15, batch 1350, loss[loss=0.2073, simple_loss=0.2778, pruned_loss=0.0684, over 14190.00 frames. utt_duration=639 frames, utt_pad_proportion=0.04776, over 89.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3594, pruned_loss=0.114, over 2781208.14 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07053, over 44357.71 utterances.], batch size: 89, lr: 3.15e-04
+2022-09-18 06:09:11,505 INFO [train.py:885] (1/2) Epoch 15, batch 1400, loss[loss=0.2359, simple_loss=0.3133, pruned_loss=0.07927, over 14189.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04359, over 109.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.3588, pruned_loss=0.1135, over 2784228.70 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07052, over 44256.76 utterances.], batch size: 109, lr: 3.15e-04
+2022-09-18 06:09:41,451 INFO [train.py:885] (1/2) Epoch 15, batch 1450, loss[loss=0.3057, simple_loss=0.3772, pruned_loss=0.1172, over 14301.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03909, over 226.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3581, pruned_loss=0.1135, over 2783888.34 frames. utt_duration=253.8 frames, utt_pad_proportion=0.07112, over 44133.08 utterances.], batch size: 226, lr: 3.15e-04
+2022-09-18 06:10:10,655 INFO [train.py:885] (1/2) Epoch 15, batch 1500, loss[loss=0.5863, simple_loss=0.6437, pruned_loss=0.2644, over 12531.00 frames. utt_duration=63.46 frames, utt_pad_proportion=0.1425, over 810.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3552, pruned_loss=0.1119, over 2786451.44 frames. utt_duration=259.9 frames, utt_pad_proportion=0.06951, over 43124.59 utterances.], batch size: 810, lr: 3.15e-04
+2022-09-18 06:10:39,809 INFO [train.py:885] (1/2) Epoch 15, batch 1550, loss[loss=0.4541, simple_loss=0.5059, pruned_loss=0.2012, over 13641.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08018, over 477.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3542, pruned_loss=0.1112, over 2782564.58 frames. utt_duration=259.9 frames, utt_pad_proportion=0.07002, over 43073.10 utterances.], batch size: 477, lr: 3.15e-04
+2022-09-18 06:11:10,191 INFO [train.py:885] (1/2) Epoch 15, batch 1600, loss[loss=0.3046, simple_loss=0.3776, pruned_loss=0.1158, over 14351.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03411, over 244.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3547, pruned_loss=0.1111, over 2783075.27 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06906, over 43890.24 utterances.], batch size: 244, lr: 3.15e-04
+2022-09-18 06:11:39,654 INFO [train.py:885] (1/2) Epoch 15, batch 1650, loss[loss=0.3235, simple_loss=0.3871, pruned_loss=0.1299, over 14257.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04128, over 306.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3561, pruned_loss=0.1128, over 2781431.59 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06946, over 43853.65 utterances.], batch size: 306, lr: 3.15e-04
+2022-09-18 06:12:09,172 INFO [train.py:885] (1/2) Epoch 15, batch 1700, loss[loss=0.1927, simple_loss=0.2607, pruned_loss=0.06233, over 12731.00 frames. utt_duration=2038 frames, utt_pad_proportion=0.1176, over 25.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3525, pruned_loss=0.1105, over 2781760.28 frames. utt_duration=263.9 frames, utt_pad_proportion=0.06926, over 42394.00 utterances.], batch size: 25, lr: 3.15e-04
+2022-09-18 06:12:38,565 INFO [train.py:885] (1/2) Epoch 15, batch 1750, loss[loss=0.2062, simple_loss=0.274, pruned_loss=0.06922, over 14036.00 frames. utt_duration=803.5 frames, utt_pad_proportion=0.05918, over 70.00 utterances.], tot_loss[loss=0.2886, simple_loss=0.3542, pruned_loss=0.1115, over 2783501.78 frames. utt_duration=261.6 frames, utt_pad_proportion=0.0678, over 42796.71 utterances.], batch size: 70, lr: 3.15e-04
+2022-09-18 06:13:08,247 INFO [train.py:885] (1/2) Epoch 15, batch 1800, loss[loss=0.2985, simple_loss=0.4007, pruned_loss=0.09812, over 13665.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07895, over 477.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3586, pruned_loss=0.1132, over 2781693.89 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07038, over 44605.23 utterances.], batch size: 477, lr: 3.15e-04
+2022-09-18 06:13:38,077 INFO [train.py:885] (1/2) Epoch 15, batch 1850, loss[loss=0.1746, simple_loss=0.2432, pruned_loss=0.05296, over 13584.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08091, over 50.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3583, pruned_loss=0.1129, over 2781460.94 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07114, over 44676.04 utterances.], batch size: 50, lr: 3.15e-04
+2022-09-18 06:14:07,127 INFO [train.py:885] (1/2) Epoch 15, batch 1900, loss[loss=0.3246, simple_loss=0.4183, pruned_loss=0.1154, over 13648.00 frames. utt_duration=98.89 frames, utt_pad_proportion=0.07575, over 560.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3607, pruned_loss=0.1139, over 2782604.90 frames. utt_duration=244.7 frames, utt_pad_proportion=0.0704, over 45761.00 utterances.], batch size: 560, lr: 3.15e-04
+2022-09-18 06:14:37,181 INFO [train.py:885] (1/2) Epoch 15, batch 1950, loss[loss=0.3072, simple_loss=0.3826, pruned_loss=0.1159, over 14321.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04122, over 167.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3575, pruned_loss=0.1121, over 2782224.92 frames. utt_duration=248.9 frames, utt_pad_proportion=0.0709, over 44976.01 utterances.], batch size: 167, lr: 3.15e-04
+2022-09-18 06:15:06,203 INFO [train.py:885] (1/2) Epoch 15, batch 2000, loss[loss=0.3016, simple_loss=0.3604, pruned_loss=0.1214, over 14286.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03939, over 180.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3625, pruned_loss=0.115, over 2781540.30 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07129, over 46664.33 utterances.], batch size: 180, lr: 3.15e-04
+2022-09-18 06:15:36,371 INFO [train.py:885] (1/2) Epoch 15, batch 2050, loss[loss=0.3667, simple_loss=0.4162, pruned_loss=0.1586, over 14348.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03708, over 262.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3578, pruned_loss=0.1124, over 2782654.82 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06996, over 44881.21 utterances.], batch size: 262, lr: 3.15e-04
+2022-09-18 06:16:06,140 INFO [train.py:885] (1/2) Epoch 15, batch 2100, loss[loss=0.3581, simple_loss=0.4337, pruned_loss=0.1413, over 13801.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07134, over 412.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3613, pruned_loss=0.1139, over 2782845.48 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07014, over 46236.14 utterances.], batch size: 412, lr: 3.15e-04
+2022-09-18 06:16:35,416 INFO [train.py:885] (1/2) Epoch 15, batch 2150, loss[loss=0.5908, simple_loss=0.6493, pruned_loss=0.2661, over 12460.00 frames. utt_duration=63.16 frames, utt_pad_proportion=0.1465, over 810.00 utterances.], tot_loss[loss=0.2951, simple_loss=0.3617, pruned_loss=0.1143, over 2787397.22 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06933, over 45800.44 utterances.], batch size: 810, lr: 3.15e-04
+2022-09-18 06:17:05,004 INFO [train.py:885] (1/2) Epoch 15, batch 2200, loss[loss=0.1733, simple_loss=0.2251, pruned_loss=0.06074, over 13254.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.1045, over 33.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3611, pruned_loss=0.1135, over 2790622.57 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06894, over 45483.93 utterances.], batch size: 33, lr: 3.15e-04
+2022-09-18 06:17:34,049 INFO [train.py:885] (1/2) Epoch 15, batch 2250, loss[loss=0.2424, simple_loss=0.3186, pruned_loss=0.08304, over 14329.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03792, over 120.00 utterances.], tot_loss[loss=0.292, simple_loss=0.3586, pruned_loss=0.1127, over 2788637.43 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06858, over 44408.52 utterances.], batch size: 120, lr: 3.15e-04
+2022-09-18 06:18:03,911 INFO [train.py:885] (1/2) Epoch 15, batch 2300, loss[loss=0.3221, simple_loss=0.3874, pruned_loss=0.1284, over 14307.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03819, over 154.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3632, pruned_loss=0.1151, over 2785032.87 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07023, over 45981.21 utterances.], batch size: 154, lr: 3.15e-04
+2022-09-18 06:18:33,633 INFO [train.py:885] (1/2) Epoch 15, batch 2350, loss[loss=0.3303, simple_loss=0.3865, pruned_loss=0.1371, over 14278.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.04112, over 283.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3598, pruned_loss=0.1134, over 2786028.85 frames. utt_duration=250.4 frames, utt_pad_proportion=0.0702, over 44766.30 utterances.], batch size: 283, lr: 3.15e-04
+2022-09-18 06:19:03,487 INFO [train.py:885] (1/2) Epoch 15, batch 2400, loss[loss=0.2707, simple_loss=0.3388, pruned_loss=0.1013, over 14272.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.04407, over 141.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3618, pruned_loss=0.1141, over 2787988.49 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07053, over 45621.15 utterances.], batch size: 141, lr: 3.15e-04
+2022-09-18 06:19:32,529 INFO [train.py:885] (1/2) Epoch 15, batch 2450, loss[loss=0.3266, simple_loss=0.3896, pruned_loss=0.1318, over 14362.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03685, over 244.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3627, pruned_loss=0.1145, over 2785322.87 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07134, over 46302.01 utterances.], batch size: 244, lr: 3.15e-04
+2022-09-18 06:20:02,468 INFO [train.py:885] (1/2) Epoch 15, batch 2500, loss[loss=0.3226, simple_loss=0.3874, pruned_loss=0.1289, over 14271.00 frames. utt_duration=203.2 frames, utt_pad_proportion=0.04157, over 283.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.362, pruned_loss=0.1143, over 2783150.10 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07201, over 46346.21 utterances.], batch size: 283, lr: 3.14e-04
+2022-09-18 06:20:32,800 INFO [train.py:885] (1/2) Epoch 15, batch 2550, loss[loss=0.3775, simple_loss=0.4441, pruned_loss=0.1554, over 13967.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05762, over 365.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3632, pruned_loss=0.1158, over 2780178.59 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07192, over 46639.53 utterances.], batch size: 365, lr: 3.14e-04
+2022-09-18 06:21:02,239 INFO [train.py:885] (1/2) Epoch 15, batch 2600, loss[loss=0.2107, simple_loss=0.2746, pruned_loss=0.07334, over 13780.00 frames. utt_duration=920.2 frames, utt_pad_proportion=0.07514, over 60.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3638, pruned_loss=0.1162, over 2775571.94 frames. utt_duration=238.6 frames, utt_pad_proportion=0.0722, over 46813.32 utterances.], batch size: 60, lr: 3.14e-04
+2022-09-18 06:21:32,132 INFO [train.py:885] (1/2) Epoch 15, batch 2650, loss[loss=0.1999, simple_loss=0.2774, pruned_loss=0.06116, over 14168.00 frames. utt_duration=638.1 frames, utt_pad_proportion=0.04898, over 89.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.3638, pruned_loss=0.1164, over 2770416.33 frames. utt_duration=238.6 frames, utt_pad_proportion=0.0751, over 46736.48 utterances.], batch size: 89, lr: 3.14e-04
+2022-09-18 06:22:01,424 INFO [train.py:885] (1/2) Epoch 15, batch 2700, loss[loss=0.3698, simple_loss=0.4209, pruned_loss=0.1594, over 14256.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04162, over 225.00 utterances.], tot_loss[loss=0.2996, simple_loss=0.3643, pruned_loss=0.1174, over 2775266.19 frames. utt_duration=241 frames, utt_pad_proportion=0.07396, over 46344.67 utterances.], batch size: 225, lr: 3.14e-04
+2022-09-18 06:22:30,681 INFO [train.py:885] (1/2) Epoch 15, batch 2750, loss[loss=0.3894, simple_loss=0.4331, pruned_loss=0.1729, over 14299.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04075, over 262.00 utterances.], tot_loss[loss=0.3002, simple_loss=0.3649, pruned_loss=0.1177, over 2783087.22 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07099, over 46105.83 utterances.], batch size: 262, lr: 3.14e-04
+2022-09-18 06:23:00,273 INFO [train.py:885] (1/2) Epoch 15, batch 2800, loss[loss=0.2754, simple_loss=0.3583, pruned_loss=0.09621, over 14295.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04098, over 262.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3619, pruned_loss=0.1165, over 2783697.68 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07011, over 44595.50 utterances.], batch size: 262, lr: 3.14e-04
+2022-09-18 06:23:30,321 INFO [train.py:885] (1/2) Epoch 15, batch 2850, loss[loss=0.4225, simple_loss=0.5007, pruned_loss=0.1722, over 13158.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.3003, simple_loss=0.3646, pruned_loss=0.118, over 2786896.32 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07072, over 45145.43 utterances.], batch size: 653, lr: 3.14e-04
+2022-09-18 06:23:59,429 INFO [train.py:885] (1/2) Epoch 15, batch 2900, loss[loss=0.2749, simple_loss=0.3246, pruned_loss=0.1126, over 14040.00 frames. utt_duration=712.2 frames, utt_pad_proportion=0.05291, over 79.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3611, pruned_loss=0.116, over 2792336.51 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06739, over 43691.81 utterances.], batch size: 79, lr: 3.14e-04
+2022-09-18 06:24:28,851 INFO [train.py:885] (1/2) Epoch 15, batch 2950, loss[loss=0.2691, simple_loss=0.3435, pruned_loss=0.09737, over 14315.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04097, over 167.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3581, pruned_loss=0.1152, over 2785210.47 frames. utt_duration=262.7 frames, utt_pad_proportion=0.06764, over 42643.39 utterances.], batch size: 167, lr: 3.14e-04
+2022-09-18 06:24:59,466 INFO [train.py:885] (1/2) Epoch 15, batch 3000, loss[loss=0.2753, simple_loss=0.3414, pruned_loss=0.1046, over 14243.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04587, over 141.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.361, pruned_loss=0.116, over 2780730.36 frames. utt_duration=250.6 frames, utt_pad_proportion=0.0732, over 44640.71 utterances.], batch size: 141, lr: 3.14e-04
+2022-09-18 06:24:59,467 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 06:25:04,149 INFO [train.py:914] (1/2) Epoch 15, validation: loss=0.2007, simple_loss=0.2803, pruned_loss=0.06056, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 06:25:33,825 INFO [train.py:885] (1/2) Epoch 15, batch 3050, loss[loss=0.2816, simple_loss=0.3556, pruned_loss=0.1038, over 14243.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.03898, over 225.00 utterances.], tot_loss[loss=0.2964, simple_loss=0.3606, pruned_loss=0.1161, over 2778097.33 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07354, over 44864.45 utterances.], batch size: 225, lr: 3.14e-04
+2022-09-18 06:26:03,348 INFO [train.py:885] (1/2) Epoch 15, batch 3100, loss[loss=0.1894, simple_loss=0.2431, pruned_loss=0.06785, over 13367.00 frames. utt_duration=1622 frames, utt_pad_proportion=0.09191, over 33.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3606, pruned_loss=0.1164, over 2777636.20 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07478, over 44485.89 utterances.], batch size: 33, lr: 3.14e-04
+2022-09-18 06:26:32,535 INFO [train.py:885] (1/2) Epoch 15, batch 3150, loss[loss=0.2567, simple_loss=0.3329, pruned_loss=0.09022, over 14275.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.0399, over 130.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3599, pruned_loss=0.1158, over 2779617.81 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07265, over 44532.86 utterances.], batch size: 130, lr: 3.14e-04
+2022-09-18 06:27:02,835 INFO [train.py:885] (1/2) Epoch 15, batch 3200, loss[loss=0.2002, simple_loss=0.2724, pruned_loss=0.06398, over 13403.00 frames. utt_duration=1626 frames, utt_pad_proportion=0.09459, over 33.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3602, pruned_loss=0.1153, over 2770710.08 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07659, over 45550.10 utterances.], batch size: 33, lr: 3.14e-04
+2022-09-18 06:27:31,991 INFO [train.py:885] (1/2) Epoch 15, batch 3250, loss[loss=0.2933, simple_loss=0.3353, pruned_loss=0.1257, over 14151.00 frames. utt_duration=520.8 frames, utt_pad_proportion=0.04624, over 109.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3585, pruned_loss=0.1146, over 2776291.93 frames. utt_duration=251 frames, utt_pad_proportion=0.0742, over 44499.02 utterances.], batch size: 109, lr: 3.14e-04
+2022-09-18 06:28:01,646 INFO [train.py:885] (1/2) Epoch 15, batch 3300, loss[loss=0.3854, simple_loss=0.4234, pruned_loss=0.1737, over 14341.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03685, over 195.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3604, pruned_loss=0.1157, over 2775619.57 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07364, over 45185.19 utterances.], batch size: 195, lr: 3.14e-04
+2022-09-18 06:28:31,512 INFO [train.py:885] (1/2) Epoch 15, batch 3350, loss[loss=0.3275, simple_loss=0.3851, pruned_loss=0.135, over 14318.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03743, over 180.00 utterances.], tot_loss[loss=0.2964, simple_loss=0.3613, pruned_loss=0.1158, over 2778870.93 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07273, over 45333.34 utterances.], batch size: 180, lr: 3.14e-04
+2022-09-18 06:29:01,183 INFO [train.py:885] (1/2) Epoch 15, batch 3400, loss[loss=0.2764, simple_loss=0.3572, pruned_loss=0.09781, over 14347.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03644, over 210.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3604, pruned_loss=0.1151, over 2778313.32 frames. utt_duration=248 frames, utt_pad_proportion=0.0708, over 45071.19 utterances.], batch size: 210, lr: 3.14e-04
+2022-09-18 06:29:31,196 INFO [train.py:885] (1/2) Epoch 15, batch 3450, loss[loss=0.1429, simple_loss=0.1834, pruned_loss=0.05115, over 13402.00 frames. utt_duration=1626 frames, utt_pad_proportion=0.09317, over 33.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3594, pruned_loss=0.115, over 2775549.38 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07226, over 45256.59 utterances.], batch size: 33, lr: 3.14e-04
+2022-09-18 06:30:00,942 INFO [train.py:885] (1/2) Epoch 15, batch 3500, loss[loss=0.211, simple_loss=0.2709, pruned_loss=0.07555, over 13773.00 frames. utt_duration=919.6 frames, utt_pad_proportion=0.07297, over 60.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3587, pruned_loss=0.1142, over 2778505.60 frames. utt_duration=248 frames, utt_pad_proportion=0.07111, over 45084.15 utterances.], batch size: 60, lr: 3.14e-04
+2022-09-18 06:30:30,196 INFO [train.py:885] (1/2) Epoch 15, batch 3550, loss[loss=0.2071, simple_loss=0.2861, pruned_loss=0.06399, over 12397.00 frames. utt_duration=1985 frames, utt_pad_proportion=0.1458, over 25.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3594, pruned_loss=0.114, over 2776212.09 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07253, over 45554.99 utterances.], batch size: 25, lr: 3.14e-04
+2022-09-18 06:30:59,819 INFO [train.py:885] (1/2) Epoch 15, batch 3600, loss[loss=0.2241, simple_loss=0.2958, pruned_loss=0.07623, over 13896.00 frames. utt_duration=704.9 frames, utt_pad_proportion=0.06761, over 79.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3586, pruned_loss=0.1134, over 2776043.97 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07248, over 45538.17 utterances.], batch size: 79, lr: 3.14e-04
+2022-09-18 06:31:29,166 INFO [train.py:885] (1/2) Epoch 15, batch 3650, loss[loss=0.3407, simple_loss=0.3899, pruned_loss=0.1457, over 14275.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.04072, over 154.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3555, pruned_loss=0.1112, over 2773649.79 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07099, over 45155.72 utterances.], batch size: 154, lr: 3.13e-04
+2022-09-18 06:31:58,689 INFO [train.py:885] (1/2) Epoch 15, batch 3700, loss[loss=0.3398, simple_loss=0.4027, pruned_loss=0.1384, over 14369.00 frames. utt_duration=296.3 frames, utt_pad_proportion=0.03493, over 195.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3558, pruned_loss=0.1114, over 2774702.56 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07002, over 44767.61 utterances.], batch size: 195, lr: 3.13e-04
+2022-09-18 06:32:28,209 INFO [train.py:885] (1/2) Epoch 15, batch 3750, loss[loss=0.2181, simple_loss=0.2852, pruned_loss=0.07555, over 14302.00 frames. utt_duration=644.2 frames, utt_pad_proportion=0.03994, over 89.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3514, pruned_loss=0.1094, over 2770600.58 frames. utt_duration=258.4 frames, utt_pad_proportion=0.07093, over 43132.64 utterances.], batch size: 89, lr: 3.13e-04
+2022-09-18 06:32:57,945 INFO [train.py:885] (1/2) Epoch 15, batch 3800, loss[loss=0.3134, simple_loss=0.3759, pruned_loss=0.1254, over 14261.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04075, over 180.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3526, pruned_loss=0.1098, over 2774171.13 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06945, over 42910.92 utterances.], batch size: 180, lr: 3.13e-04
+2022-09-18 06:33:28,209 INFO [train.py:885] (1/2) Epoch 15, batch 3850, loss[loss=0.191, simple_loss=0.2548, pruned_loss=0.06359, over 14004.00 frames. utt_duration=935.3 frames, utt_pad_proportion=0.06091, over 60.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.36, pruned_loss=0.1135, over 2772428.20 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07298, over 46208.36 utterances.], batch size: 60, lr: 3.13e-04
+2022-09-18 06:33:57,258 INFO [train.py:885] (1/2) Epoch 15, batch 3900, loss[loss=0.2713, simple_loss=0.3381, pruned_loss=0.1023, over 14288.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.03883, over 130.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3578, pruned_loss=0.112, over 2773974.64 frames. utt_duration=245.7 frames, utt_pad_proportion=0.0732, over 45440.94 utterances.], batch size: 130, lr: 3.13e-04
+2022-09-18 06:34:26,701 INFO [train.py:885] (1/2) Epoch 15, batch 3950, loss[loss=0.3487, simple_loss=0.4007, pruned_loss=0.1484, over 14331.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03845, over 283.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3626, pruned_loss=0.1154, over 2778898.91 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07267, over 46898.06 utterances.], batch size: 283, lr: 3.13e-04
+2022-09-18 06:34:55,705 INFO [train.py:885] (1/2) Epoch 15, batch 4000, loss[loss=0.2709, simple_loss=0.3407, pruned_loss=0.1005, over 14333.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03838, over 130.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3627, pruned_loss=0.1148, over 2778618.43 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07426, over 47474.35 utterances.], batch size: 130, lr: 3.13e-04
+2022-09-18 06:35:25,364 INFO [train.py:885] (1/2) Epoch 15, batch 4050, loss[loss=0.2133, simple_loss=0.2876, pruned_loss=0.06949, over 13937.00 frames. utt_duration=930.6 frames, utt_pad_proportion=0.06568, over 60.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3641, pruned_loss=0.1153, over 2778717.03 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07524, over 48080.75 utterances.], batch size: 60, lr: 3.13e-04
+2022-09-18 06:35:55,388 INFO [train.py:885] (1/2) Epoch 15, batch 4100, loss[loss=0.3633, simple_loss=0.4115, pruned_loss=0.1576, over 14303.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.0399, over 283.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3633, pruned_loss=0.1152, over 2773982.85 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07371, over 47492.64 utterances.], batch size: 283, lr: 3.13e-04
+2022-09-18 06:36:24,553 INFO [train.py:885] (1/2) Epoch 15, batch 4150, loss[loss=0.2638, simple_loss=0.3333, pruned_loss=0.09715, over 14288.00 frames. utt_duration=441 frames, utt_pad_proportion=0.0393, over 130.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3616, pruned_loss=0.114, over 2777096.46 frames. utt_duration=238.8 frames, utt_pad_proportion=0.0731, over 46799.88 utterances.], batch size: 130, lr: 3.13e-04
+2022-09-18 06:36:54,305 INFO [train.py:885] (1/2) Epoch 15, batch 4200, loss[loss=0.1817, simple_loss=0.2499, pruned_loss=0.05681, over 13335.00 frames. utt_duration=1068 frames, utt_pad_proportion=0.1031, over 50.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3623, pruned_loss=0.1144, over 2775036.60 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07299, over 47519.64 utterances.], batch size: 50, lr: 3.13e-04
+2022-09-18 06:37:23,542 INFO [train.py:885] (1/2) Epoch 15, batch 4250, loss[loss=0.3736, simple_loss=0.4185, pruned_loss=0.1643, over 14351.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03652, over 195.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3617, pruned_loss=0.1141, over 2778049.67 frames. utt_duration=241 frames, utt_pad_proportion=0.07251, over 46398.81 utterances.], batch size: 195, lr: 3.13e-04
+2022-09-18 06:37:53,183 INFO [train.py:885] (1/2) Epoch 15, batch 4300, loss[loss=0.2585, simple_loss=0.3199, pruned_loss=0.09854, over 14273.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.04049, over 130.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3597, pruned_loss=0.1126, over 2776445.53 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07325, over 45824.99 utterances.], batch size: 130, lr: 3.13e-04
+2022-09-18 06:38:22,747 INFO [train.py:885] (1/2) Epoch 15, batch 4350, loss[loss=0.5509, simple_loss=0.6337, pruned_loss=0.2341, over 12446.00 frames. utt_duration=63.12 frames, utt_pad_proportion=0.147, over 810.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3585, pruned_loss=0.112, over 2776065.47 frames. utt_duration=244 frames, utt_pad_proportion=0.07274, over 45785.23 utterances.], batch size: 810, lr: 3.13e-04
+2022-09-18 06:38:53,058 INFO [train.py:885] (1/2) Epoch 15, batch 4400, loss[loss=0.3062, simple_loss=0.3649, pruned_loss=0.1237, over 14314.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03934, over 120.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3587, pruned_loss=0.112, over 2780987.37 frames. utt_duration=245.4 frames, utt_pad_proportion=0.0716, over 45596.33 utterances.], batch size: 120, lr: 3.13e-04
+2022-09-18 06:39:22,486 INFO [train.py:885] (1/2) Epoch 15, batch 4450, loss[loss=0.3989, simple_loss=0.4464, pruned_loss=0.1757, over 14233.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.0428, over 306.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3582, pruned_loss=0.1127, over 2783753.32 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07104, over 44727.81 utterances.], batch size: 306, lr: 3.13e-04
+2022-09-18 06:39:52,196 INFO [train.py:885] (1/2) Epoch 15, batch 4500, loss[loss=0.2067, simple_loss=0.2831, pruned_loss=0.06508, over 12162.00 frames. utt_duration=2028 frames, utt_pad_proportion=0.1741, over 24.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3564, pruned_loss=0.1117, over 2778548.76 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07377, over 44931.24 utterances.], batch size: 24, lr: 3.13e-04
+2022-09-18 06:40:21,761 INFO [train.py:885] (1/2) Epoch 15, batch 4550, loss[loss=0.2292, simple_loss=0.2849, pruned_loss=0.08675, over 13145.00 frames. utt_duration=1595 frames, utt_pad_proportion=0.1121, over 33.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3571, pruned_loss=0.112, over 2779775.99 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07186, over 44878.23 utterances.], batch size: 33, lr: 3.13e-04
+2022-09-18 06:40:51,520 INFO [train.py:885] (1/2) Epoch 15, batch 4600, loss[loss=0.2697, simple_loss=0.3425, pruned_loss=0.09843, over 14215.00 frames. utt_duration=523.2 frames, utt_pad_proportion=0.04169, over 109.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3585, pruned_loss=0.1121, over 2779610.05 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07231, over 46044.77 utterances.], batch size: 109, lr: 3.13e-04
+2022-09-18 06:41:21,435 INFO [train.py:885] (1/2) Epoch 15, batch 4650, loss[loss=0.3752, simple_loss=0.4192, pruned_loss=0.1656, over 14268.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04146, over 335.00 utterances.], tot_loss[loss=0.2971, simple_loss=0.3635, pruned_loss=0.1153, over 2779938.33 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07422, over 47660.25 utterances.], batch size: 335, lr: 3.13e-04
+2022-09-18 06:41:50,379 INFO [train.py:885] (1/2) Epoch 15, batch 4700, loss[loss=0.2877, simple_loss=0.3649, pruned_loss=0.1053, over 14350.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03647, over 195.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3649, pruned_loss=0.116, over 2779248.33 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07398, over 48063.48 utterances.], batch size: 195, lr: 3.13e-04
+2022-09-18 06:42:19,569 INFO [train.py:885] (1/2) Epoch 15, batch 4750, loss[loss=0.2044, simple_loss=0.2865, pruned_loss=0.06117, over 14165.00 frames. utt_duration=638.3 frames, utt_pad_proportion=0.04301, over 89.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3632, pruned_loss=0.1146, over 2776527.66 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07404, over 48008.10 utterances.], batch size: 89, lr: 3.13e-04
+2022-09-18 06:42:49,606 INFO [train.py:885] (1/2) Epoch 15, batch 4800, loss[loss=0.4263, simple_loss=0.5065, pruned_loss=0.173, over 13174.00 frames. utt_duration=82.15 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3591, pruned_loss=0.1127, over 2780756.34 frames. utt_duration=244 frames, utt_pad_proportion=0.07245, over 45855.89 utterances.], batch size: 653, lr: 3.12e-04
+2022-09-18 06:43:19,632 INFO [train.py:885] (1/2) Epoch 15, batch 4850, loss[loss=0.3099, simple_loss=0.3814, pruned_loss=0.1192, over 14342.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03921, over 167.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3587, pruned_loss=0.1124, over 2782333.96 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07053, over 45627.21 utterances.], batch size: 167, lr: 3.12e-04
+2022-09-18 06:43:48,715 INFO [train.py:885] (1/2) Epoch 15, batch 4900, loss[loss=0.1687, simple_loss=0.2308, pruned_loss=0.05329, over 13324.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.08483, over 41.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3586, pruned_loss=0.1125, over 2783542.61 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06984, over 45239.90 utterances.], batch size: 41, lr: 3.12e-04
+2022-09-18 06:44:18,359 INFO [train.py:885] (1/2) Epoch 15, batch 4950, loss[loss=0.4569, simple_loss=0.4749, pruned_loss=0.2194, over 14254.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04177, over 335.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3622, pruned_loss=0.1148, over 2780452.74 frames. utt_duration=240 frames, utt_pad_proportion=0.07117, over 46631.41 utterances.], batch size: 335, lr: 3.12e-04
+2022-09-18 06:44:47,547 INFO [train.py:885] (1/2) Epoch 15, batch 5000, loss[loss=0.1888, simple_loss=0.25, pruned_loss=0.06376, over 13642.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.08233, over 50.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3573, pruned_loss=0.1122, over 2783245.11 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06981, over 44698.43 utterances.], batch size: 50, lr: 3.12e-04
+2022-09-18 06:45:17,425 INFO [train.py:885] (1/2) Epoch 15, batch 5050, loss[loss=0.1962, simple_loss=0.2529, pruned_loss=0.06971, over 13593.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08017, over 50.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.357, pruned_loss=0.1111, over 2782494.47 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07068, over 44839.01 utterances.], batch size: 50, lr: 3.12e-04
+2022-09-18 06:45:46,371 INFO [train.py:885] (1/2) Epoch 15, batch 5100, loss[loss=0.2937, simple_loss=0.3557, pruned_loss=0.1158, over 14306.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03854, over 180.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3581, pruned_loss=0.1126, over 2784586.95 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06923, over 44876.88 utterances.], batch size: 180, lr: 3.12e-04
+2022-09-18 06:46:15,859 INFO [train.py:885] (1/2) Epoch 15, batch 5150, loss[loss=0.2178, simple_loss=0.2531, pruned_loss=0.09127, over 13576.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08608, over 50.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3573, pruned_loss=0.113, over 2780935.39 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06991, over 44603.43 utterances.], batch size: 50, lr: 3.12e-04
+2022-09-18 06:46:45,984 INFO [train.py:885] (1/2) Epoch 15, batch 5200, loss[loss=0.264, simple_loss=0.312, pruned_loss=0.108, over 14191.00 frames. utt_duration=580.6 frames, utt_pad_proportion=0.04824, over 98.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3598, pruned_loss=0.115, over 2779199.90 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07221, over 45853.94 utterances.], batch size: 98, lr: 3.12e-04
+2022-09-18 06:47:15,356 INFO [train.py:885] (1/2) Epoch 15, batch 5250, loss[loss=0.1609, simple_loss=0.2038, pruned_loss=0.05903, over 12516.00 frames. utt_duration=2087 frames, utt_pad_proportion=0.1645, over 24.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3615, pruned_loss=0.1158, over 2783833.77 frames. utt_duration=240.9 frames, utt_pad_proportion=0.06985, over 46506.63 utterances.], batch size: 24, lr: 3.12e-04
+2022-09-18 06:47:45,675 INFO [train.py:885] (1/2) Epoch 15, batch 5300, loss[loss=0.1971, simple_loss=0.2595, pruned_loss=0.06738, over 13982.00 frames. utt_duration=933.7 frames, utt_pad_proportion=0.06257, over 60.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.363, pruned_loss=0.1164, over 2788714.34 frames. utt_duration=239.7 frames, utt_pad_proportion=0.06786, over 46827.28 utterances.], batch size: 60, lr: 3.12e-04
+2022-09-18 06:48:14,876 INFO [train.py:885] (1/2) Epoch 15, batch 5350, loss[loss=0.1744, simple_loss=0.2067, pruned_loss=0.07102, over 13427.00 frames. utt_duration=2067 frames, utt_pad_proportion=0.09815, over 26.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.3622, pruned_loss=0.1163, over 2790655.74 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06695, over 46170.88 utterances.], batch size: 26, lr: 3.12e-04
+2022-09-18 06:48:44,338 INFO [train.py:885] (1/2) Epoch 15, batch 5400, loss[loss=0.3183, simple_loss=0.383, pruned_loss=0.1268, over 14316.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0387, over 283.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3582, pruned_loss=0.1147, over 2788890.10 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06537, over 43977.15 utterances.], batch size: 283, lr: 3.12e-04
+2022-09-18 06:49:13,349 INFO [train.py:885] (1/2) Epoch 15, batch 5450, loss[loss=0.2152, simple_loss=0.2842, pruned_loss=0.07311, over 14034.00 frames. utt_duration=712 frames, utt_pad_proportion=0.05825, over 79.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3591, pruned_loss=0.1141, over 2792297.46 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06596, over 44717.30 utterances.], batch size: 79, lr: 3.12e-04
+2022-09-18 06:49:43,476 INFO [train.py:885] (1/2) Epoch 15, batch 5500, loss[loss=0.3341, simple_loss=0.4305, pruned_loss=0.1189, over 13655.00 frames. utt_duration=98.92 frames, utt_pad_proportion=0.0755, over 560.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3607, pruned_loss=0.115, over 2787500.00 frames. utt_duration=245.6 frames, utt_pad_proportion=0.06948, over 45667.97 utterances.], batch size: 560, lr: 3.12e-04
+2022-09-18 06:50:13,118 INFO [train.py:885] (1/2) Epoch 15, batch 5550, loss[loss=0.3567, simple_loss=0.433, pruned_loss=0.1402, over 13650.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07946, over 477.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.3641, pruned_loss=0.1171, over 2784790.23 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07049, over 46672.70 utterances.], batch size: 477, lr: 3.12e-04
+2022-09-18 06:50:42,772 INFO [train.py:885] (1/2) Epoch 15, batch 5600, loss[loss=0.3339, simple_loss=0.4001, pruned_loss=0.1338, over 14331.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03733, over 210.00 utterances.], tot_loss[loss=0.2987, simple_loss=0.3643, pruned_loss=0.1166, over 2778647.11 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07377, over 47656.76 utterances.], batch size: 210, lr: 3.12e-04
+2022-09-18 06:51:12,425 INFO [train.py:885] (1/2) Epoch 15, batch 5650, loss[loss=0.3453, simple_loss=0.4053, pruned_loss=0.1427, over 14315.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03825, over 195.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3627, pruned_loss=0.1144, over 2778957.46 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07349, over 47559.66 utterances.], batch size: 195, lr: 3.12e-04
+2022-09-18 06:51:41,459 INFO [train.py:885] (1/2) Epoch 15, batch 5700, loss[loss=0.1986, simple_loss=0.2474, pruned_loss=0.07484, over 13299.00 frames. utt_duration=1613 frames, utt_pad_proportion=0.1016, over 33.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3637, pruned_loss=0.1165, over 2783510.15 frames. utt_duration=240 frames, utt_pad_proportion=0.07158, over 46676.21 utterances.], batch size: 33, lr: 3.12e-04
+2022-09-18 06:52:11,247 INFO [train.py:885] (1/2) Epoch 15, batch 5750, loss[loss=0.3345, simple_loss=0.3787, pruned_loss=0.1452, over 14415.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03552, over 131.00 utterances.], tot_loss[loss=0.2963, simple_loss=0.3617, pruned_loss=0.1155, over 2786059.37 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07073, over 45865.65 utterances.], batch size: 131, lr: 3.12e-04
+2022-09-18 06:52:41,490 INFO [train.py:885] (1/2) Epoch 15, batch 5800, loss[loss=0.2951, simple_loss=0.3613, pruned_loss=0.1144, over 14288.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03936, over 180.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.3589, pruned_loss=0.1136, over 2780002.60 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07146, over 45329.70 utterances.], batch size: 180, lr: 3.12e-04
+2022-09-18 06:53:10,510 INFO [train.py:885] (1/2) Epoch 15, batch 5850, loss[loss=0.2993, simple_loss=0.3659, pruned_loss=0.1163, over 14256.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04064, over 141.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3615, pruned_loss=0.1151, over 2777571.40 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07313, over 46649.46 utterances.], batch size: 141, lr: 3.12e-04
+2022-09-18 06:53:40,342 INFO [train.py:885] (1/2) Epoch 15, batch 5900, loss[loss=0.2065, simple_loss=0.2831, pruned_loss=0.06499, over 12044.00 frames. utt_duration=2009 frames, utt_pad_proportion=0.1892, over 24.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3622, pruned_loss=0.1146, over 2773645.36 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07457, over 47835.73 utterances.], batch size: 24, lr: 3.12e-04
+2022-09-18 06:54:10,580 INFO [train.py:885] (1/2) Epoch 15, batch 5950, loss[loss=0.3263, simple_loss=0.3876, pruned_loss=0.1325, over 14245.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04229, over 225.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3606, pruned_loss=0.1135, over 2775370.25 frames. utt_duration=235.7 frames, utt_pad_proportion=0.0732, over 47402.61 utterances.], batch size: 225, lr: 3.11e-04
+2022-09-18 06:54:40,748 INFO [train.py:885] (1/2) Epoch 15, batch 6000, loss[loss=0.4955, simple_loss=0.5916, pruned_loss=0.1997, over 12546.00 frames. utt_duration=63.53 frames, utt_pad_proportion=0.1415, over 810.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.3605, pruned_loss=0.1126, over 2778264.49 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07273, over 47873.24 utterances.], batch size: 810, lr: 3.11e-04
+2022-09-18 06:54:40,749 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 06:54:45,782 INFO [train.py:914] (1/2) Epoch 15, validation: loss=0.1931, simple_loss=0.2739, pruned_loss=0.05617, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 06:55:15,303 INFO [train.py:885] (1/2) Epoch 15, batch 6050, loss[loss=0.2912, simple_loss=0.3635, pruned_loss=0.1094, over 14260.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04472, over 141.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3598, pruned_loss=0.1127, over 2780158.87 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07182, over 46982.92 utterances.], batch size: 141, lr: 3.11e-04
+2022-09-18 06:55:44,658 INFO [train.py:885] (1/2) Epoch 15, batch 6100, loss[loss=0.2269, simple_loss=0.2785, pruned_loss=0.08771, over 13619.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.07704, over 50.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.357, pruned_loss=0.111, over 2779728.37 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07227, over 46396.56 utterances.], batch size: 50, lr: 3.11e-04
+2022-09-18 06:56:13,927 INFO [train.py:885] (1/2) Epoch 15, batch 6150, loss[loss=0.6377, simple_loss=0.6727, pruned_loss=0.3014, over 12457.00 frames. utt_duration=63 frames, utt_pad_proportion=0.1487, over 811.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3573, pruned_loss=0.1114, over 2786724.68 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07009, over 45370.74 utterances.], batch size: 811, lr: 3.11e-04
+2022-09-18 06:56:42,789 INFO [train.py:885] (1/2) Epoch 15, batch 6200, loss[loss=0.5789, simple_loss=0.634, pruned_loss=0.2619, over 12439.00 frames. utt_duration=62.98 frames, utt_pad_proportion=0.1489, over 810.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3617, pruned_loss=0.1137, over 2784418.55 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07275, over 47007.63 utterances.], batch size: 810, lr: 3.11e-04
+2022-09-18 06:57:12,087 INFO [train.py:885] (1/2) Epoch 15, batch 6250, loss[loss=0.3861, simple_loss=0.4241, pruned_loss=0.174, over 14369.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03494, over 210.00 utterances.], tot_loss[loss=0.2996, simple_loss=0.3662, pruned_loss=0.1165, over 2785939.31 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07292, over 48097.00 utterances.], batch size: 210, lr: 3.11e-04
+2022-09-18 06:57:42,549 INFO [train.py:885] (1/2) Epoch 15, batch 6300, loss[loss=0.2326, simple_loss=0.2819, pruned_loss=0.09168, over 12676.00 frames. utt_duration=2030 frames, utt_pad_proportion=0.1504, over 25.00 utterances.], tot_loss[loss=0.2982, simple_loss=0.3648, pruned_loss=0.1158, over 2781503.42 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07305, over 47738.76 utterances.], batch size: 25, lr: 3.11e-04
+2022-09-18 06:58:11,796 INFO [train.py:885] (1/2) Epoch 15, batch 6350, loss[loss=0.333, simple_loss=0.3847, pruned_loss=0.1407, over 14378.00 frames. utt_duration=345.8 frames, utt_pad_proportion=0.03676, over 167.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3645, pruned_loss=0.1156, over 2784735.60 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07234, over 47687.80 utterances.], batch size: 167, lr: 3.11e-04
+2022-09-18 06:58:41,842 INFO [train.py:885] (1/2) Epoch 15, batch 6400, loss[loss=0.3119, simple_loss=0.3852, pruned_loss=0.1193, over 14308.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03912, over 283.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3635, pruned_loss=0.1153, over 2784498.86 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07049, over 47532.47 utterances.], batch size: 283, lr: 3.11e-04
+2022-09-18 06:59:10,830 INFO [train.py:885] (1/2) Epoch 15, batch 6450, loss[loss=0.2137, simple_loss=0.2869, pruned_loss=0.07023, over 14183.00 frames. utt_duration=638.7 frames, utt_pad_proportion=0.04808, over 89.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3564, pruned_loss=0.112, over 2781243.29 frames. utt_duration=251 frames, utt_pad_proportion=0.07033, over 44592.55 utterances.], batch size: 89, lr: 3.11e-04
+2022-09-18 06:59:40,480 INFO [train.py:885] (1/2) Epoch 15, batch 6500, loss[loss=0.2487, simple_loss=0.3077, pruned_loss=0.0949, over 14056.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.0525, over 98.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3559, pruned_loss=0.1118, over 2779809.14 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07087, over 44416.49 utterances.], batch size: 98, lr: 3.11e-04
+2022-09-18 07:00:09,955 INFO [train.py:885] (1/2) Epoch 15, batch 6550, loss[loss=0.4463, simple_loss=0.4701, pruned_loss=0.2112, over 14228.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04303, over 306.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3572, pruned_loss=0.1119, over 2777944.40 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07258, over 45807.88 utterances.], batch size: 306, lr: 3.11e-04
+2022-09-18 07:00:39,826 INFO [train.py:885] (1/2) Epoch 15, batch 6600, loss[loss=0.1858, simple_loss=0.2336, pruned_loss=0.06894, over 13322.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.0905, over 41.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3575, pruned_loss=0.113, over 2773630.66 frames. utt_duration=245 frames, utt_pad_proportion=0.07295, over 45561.91 utterances.], batch size: 41, lr: 3.11e-04
+2022-09-18 07:01:09,657 INFO [train.py:885] (1/2) Epoch 15, batch 6650, loss[loss=0.3365, simple_loss=0.3964, pruned_loss=0.1383, over 14340.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03745, over 283.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3564, pruned_loss=0.1121, over 2773759.96 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07208, over 45636.54 utterances.], batch size: 283, lr: 3.11e-04
+2022-09-18 07:01:39,047 INFO [train.py:885] (1/2) Epoch 15, batch 6700, loss[loss=0.2577, simple_loss=0.3377, pruned_loss=0.08888, over 14373.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03733, over 167.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.3553, pruned_loss=0.1112, over 2778684.43 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07129, over 45232.00 utterances.], batch size: 167, lr: 3.11e-04
+2022-09-18 07:02:09,291 INFO [train.py:885] (1/2) Epoch 15, batch 6750, loss[loss=0.3811, simple_loss=0.4619, pruned_loss=0.1502, over 13666.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07818, over 477.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3566, pruned_loss=0.1121, over 2781282.34 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07135, over 45335.98 utterances.], batch size: 477, lr: 3.11e-04
+2022-09-18 07:02:38,680 INFO [train.py:885] (1/2) Epoch 15, batch 6800, loss[loss=0.1788, simple_loss=0.2426, pruned_loss=0.05745, over 13135.00 frames. utt_duration=1594 frames, utt_pad_proportion=0.1176, over 33.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3537, pruned_loss=0.1112, over 2777043.07 frames. utt_duration=254.8 frames, utt_pad_proportion=0.07085, over 43847.87 utterances.], batch size: 33, lr: 3.11e-04
+2022-09-18 07:03:07,996 INFO [train.py:885] (1/2) Epoch 15, batch 6850, loss[loss=0.2766, simple_loss=0.3513, pruned_loss=0.101, over 14297.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.03879, over 154.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3564, pruned_loss=0.1134, over 2778334.84 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07148, over 44247.44 utterances.], batch size: 154, lr: 3.11e-04
+2022-09-18 07:03:37,629 INFO [train.py:885] (1/2) Epoch 15, batch 6900, loss[loss=0.3527, simple_loss=0.4227, pruned_loss=0.1413, over 14031.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05436, over 365.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3555, pruned_loss=0.1126, over 2781953.60 frames. utt_duration=256.5 frames, utt_pad_proportion=0.07, over 43634.51 utterances.], batch size: 365, lr: 3.11e-04
+2022-09-18 07:04:06,988 INFO [train.py:885] (1/2) Epoch 15, batch 6950, loss[loss=0.2948, simple_loss=0.373, pruned_loss=0.1083, over 14347.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03906, over 167.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3568, pruned_loss=0.113, over 2781014.30 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07139, over 44208.43 utterances.], batch size: 167, lr: 3.11e-04
+2022-09-18 07:04:36,735 INFO [train.py:885] (1/2) Epoch 15, batch 7000, loss[loss=0.2066, simple_loss=0.2735, pruned_loss=0.06991, over 14191.00 frames. utt_duration=639.2 frames, utt_pad_proportion=0.04593, over 89.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3543, pruned_loss=0.1112, over 2782935.98 frames. utt_duration=259.4 frames, utt_pad_proportion=0.07022, over 43161.46 utterances.], batch size: 89, lr: 3.11e-04
+2022-09-18 07:05:06,193 INFO [train.py:885] (1/2) Epoch 15, batch 7050, loss[loss=0.1997, simple_loss=0.2675, pruned_loss=0.06589, over 14169.00 frames. utt_duration=638.4 frames, utt_pad_proportion=0.04721, over 89.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3525, pruned_loss=0.1102, over 2783610.28 frames. utt_duration=261 frames, utt_pad_proportion=0.068, over 42903.81 utterances.], batch size: 89, lr: 3.11e-04
+2022-09-18 07:05:35,829 INFO [train.py:885] (1/2) Epoch 15, batch 7100, loss[loss=0.2367, simple_loss=0.3036, pruned_loss=0.08495, over 13988.00 frames. utt_duration=709.9 frames, utt_pad_proportion=0.06101, over 79.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3561, pruned_loss=0.1121, over 2782106.78 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06918, over 44387.66 utterances.], batch size: 79, lr: 3.11e-04
+2022-09-18 07:06:05,563 INFO [train.py:885] (1/2) Epoch 15, batch 7150, loss[loss=0.1677, simple_loss=0.2319, pruned_loss=0.05172, over 12395.00 frames. utt_duration=2068 frames, utt_pad_proportion=0.1613, over 24.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.3589, pruned_loss=0.1135, over 2776740.34 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07266, over 45697.43 utterances.], batch size: 24, lr: 3.10e-04
+2022-09-18 07:06:35,059 INFO [train.py:885] (1/2) Epoch 15, batch 7200, loss[loss=0.2366, simple_loss=0.3057, pruned_loss=0.08378, over 14320.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03704, over 130.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3604, pruned_loss=0.114, over 2774807.15 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07339, over 46986.97 utterances.], batch size: 130, lr: 3.10e-04
+2022-09-18 07:07:04,916 INFO [train.py:885] (1/2) Epoch 15, batch 7250, loss[loss=0.2593, simple_loss=0.3256, pruned_loss=0.09649, over 14320.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03918, over 130.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3584, pruned_loss=0.113, over 2779073.35 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07122, over 45730.49 utterances.], batch size: 130, lr: 3.10e-04
+2022-09-18 07:07:34,260 INFO [train.py:885] (1/2) Epoch 15, batch 7300, loss[loss=0.159, simple_loss=0.2191, pruned_loss=0.04952, over 13759.00 frames. utt_duration=919 frames, utt_pad_proportion=0.07643, over 60.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3562, pruned_loss=0.1125, over 2777110.29 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07151, over 44709.88 utterances.], batch size: 60, lr: 3.10e-04
+2022-09-18 07:08:04,618 INFO [train.py:885] (1/2) Epoch 15, batch 7350, loss[loss=0.5645, simple_loss=0.6338, pruned_loss=0.2476, over 12502.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1448, over 811.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3548, pruned_loss=0.1116, over 2780137.63 frames. utt_duration=253.5 frames, utt_pad_proportion=0.07083, over 44124.34 utterances.], batch size: 811, lr: 3.10e-04
+2022-09-18 07:08:34,002 INFO [train.py:885] (1/2) Epoch 15, batch 7400, loss[loss=0.3511, simple_loss=0.4283, pruned_loss=0.1369, over 13996.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05601, over 365.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3557, pruned_loss=0.1123, over 2778100.44 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07291, over 44385.03 utterances.], batch size: 365, lr: 3.10e-04
+2022-09-18 07:09:03,049 INFO [train.py:885] (1/2) Epoch 15, batch 7450, loss[loss=0.2638, simple_loss=0.3188, pruned_loss=0.1043, over 14052.00 frames. utt_duration=575.2 frames, utt_pad_proportion=0.05713, over 98.00 utterances.], tot_loss[loss=0.2973, simple_loss=0.3629, pruned_loss=0.1159, over 2777158.49 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07547, over 47486.84 utterances.], batch size: 98, lr: 3.10e-04
+2022-09-18 07:09:33,003 INFO [train.py:885] (1/2) Epoch 15, batch 7500, loss[loss=0.5607, simple_loss=0.6336, pruned_loss=0.2439, over 12567.00 frames. utt_duration=63.71 frames, utt_pad_proportion=0.1391, over 810.00 utterances.], tot_loss[loss=0.3, simple_loss=0.366, pruned_loss=0.117, over 2774100.10 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07681, over 49046.52 utterances.], batch size: 810, lr: 3.10e-04
+2022-09-18 07:10:01,982 INFO [train.py:885] (1/2) Epoch 15, batch 7550, loss[loss=0.2531, simple_loss=0.3264, pruned_loss=0.08986, over 14326.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03856, over 130.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3612, pruned_loss=0.1146, over 2777435.61 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07538, over 46551.59 utterances.], batch size: 130, lr: 3.10e-04
+2022-09-18 07:10:31,673 INFO [train.py:885] (1/2) Epoch 15, batch 7600, loss[loss=0.3941, simple_loss=0.4867, pruned_loss=0.1508, over 13134.00 frames. utt_duration=82.03 frames, utt_pad_proportion=0.1084, over 653.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3636, pruned_loss=0.1148, over 2778555.17 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07473, over 48057.91 utterances.], batch size: 653, lr: 3.10e-04
+2022-09-18 07:11:01,312 INFO [train.py:885] (1/2) Epoch 15, batch 7650, loss[loss=0.5144, simple_loss=0.5996, pruned_loss=0.2146, over 12503.00 frames. utt_duration=63.34 frames, utt_pad_proportion=0.144, over 810.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.3605, pruned_loss=0.1128, over 2771989.04 frames. utt_duration=233.9 frames, utt_pad_proportion=0.0755, over 47713.97 utterances.], batch size: 810, lr: 3.10e-04
+2022-09-18 07:11:31,251 INFO [train.py:885] (1/2) Epoch 15, batch 7700, loss[loss=0.3502, simple_loss=0.4105, pruned_loss=0.1449, over 14249.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.0419, over 306.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.3598, pruned_loss=0.1129, over 2773129.06 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07501, over 47526.27 utterances.], batch size: 306, lr: 3.10e-04
+2022-09-18 07:12:01,362 INFO [train.py:885] (1/2) Epoch 15, batch 7750, loss[loss=0.4083, simple_loss=0.4979, pruned_loss=0.1594, over 13160.00 frames. utt_duration=82.14 frames, utt_pad_proportion=0.1072, over 653.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3619, pruned_loss=0.1139, over 2777585.57 frames. utt_duration=231.6 frames, utt_pad_proportion=0.0739, over 48280.51 utterances.], batch size: 653, lr: 3.10e-04
+2022-09-18 07:12:30,684 INFO [train.py:885] (1/2) Epoch 15, batch 7800, loss[loss=0.3215, simple_loss=0.388, pruned_loss=0.1275, over 14357.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.033, over 244.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.3615, pruned_loss=0.1137, over 2778902.48 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07278, over 48207.39 utterances.], batch size: 244, lr: 3.10e-04
+2022-09-18 07:12:59,569 INFO [train.py:885] (1/2) Epoch 15, batch 7850, loss[loss=0.3681, simple_loss=0.4163, pruned_loss=0.16, over 14334.00 frames. utt_duration=204 frames, utt_pad_proportion=0.0375, over 283.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.359, pruned_loss=0.113, over 2781386.69 frames. utt_duration=240 frames, utt_pad_proportion=0.07127, over 46636.96 utterances.], batch size: 283, lr: 3.10e-04
+2022-09-18 07:13:29,474 INFO [train.py:885] (1/2) Epoch 15, batch 7900, loss[loss=0.5341, simple_loss=0.6078, pruned_loss=0.2302, over 12384.00 frames. utt_duration=62.76 frames, utt_pad_proportion=0.1518, over 810.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3591, pruned_loss=0.1135, over 2776327.59 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07357, over 46590.97 utterances.], batch size: 810, lr: 3.10e-04
+2022-09-18 07:13:58,903 INFO [train.py:885] (1/2) Epoch 15, batch 7950, loss[loss=0.3619, simple_loss=0.4005, pruned_loss=0.1616, over 14298.00 frames. utt_duration=294.8 frames, utt_pad_proportion=0.03981, over 195.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3604, pruned_loss=0.1136, over 2777625.98 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07293, over 47465.55 utterances.], batch size: 195, lr: 3.10e-04
+2022-09-18 07:14:27,742 INFO [train.py:885] (1/2) Epoch 15, batch 8000, loss[loss=0.1989, simple_loss=0.267, pruned_loss=0.0654, over 13897.00 frames. utt_duration=927.6 frames, utt_pad_proportion=0.06866, over 60.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3615, pruned_loss=0.1142, over 2778570.65 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07314, over 47785.64 utterances.], batch size: 60, lr: 3.10e-04
+2022-09-18 07:14:58,053 INFO [train.py:885] (1/2) Epoch 15, batch 8050, loss[loss=0.2989, simple_loss=0.3685, pruned_loss=0.1147, over 14374.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03195, over 244.00 utterances.], tot_loss[loss=0.2975, simple_loss=0.3646, pruned_loss=0.1152, over 2779566.03 frames. utt_duration=228.9 frames, utt_pad_proportion=0.07533, over 48898.50 utterances.], batch size: 244, lr: 3.10e-04
+2022-09-18 07:15:27,692 INFO [train.py:885] (1/2) Epoch 15, batch 8100, loss[loss=0.3364, simple_loss=0.4293, pruned_loss=0.1218, over 13638.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08144, over 477.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.363, pruned_loss=0.115, over 2781944.80 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07325, over 47509.24 utterances.], batch size: 477, lr: 3.10e-04
+2022-09-18 07:15:57,028 INFO [train.py:885] (1/2) Epoch 15, batch 8150, loss[loss=0.1917, simple_loss=0.2597, pruned_loss=0.06185, over 13991.00 frames. utt_duration=709.7 frames, utt_pad_proportion=0.05995, over 79.00 utterances.], tot_loss[loss=0.295, simple_loss=0.3622, pruned_loss=0.1139, over 2781460.56 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07403, over 47728.40 utterances.], batch size: 79, lr: 3.10e-04
+2022-09-18 07:16:26,606 INFO [train.py:885] (1/2) Epoch 15, batch 8200, loss[loss=0.2976, simple_loss=0.3634, pruned_loss=0.1159, over 14254.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04164, over 225.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3624, pruned_loss=0.1143, over 2783628.39 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07414, over 48065.81 utterances.], batch size: 225, lr: 3.10e-04
+2022-09-18 07:16:55,628 INFO [train.py:885] (1/2) Epoch 15, batch 8250, loss[loss=0.2542, simple_loss=0.3271, pruned_loss=0.09066, over 14329.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03602, over 120.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3585, pruned_loss=0.1123, over 2783150.52 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07158, over 46219.96 utterances.], batch size: 120, lr: 3.10e-04
+2022-09-18 07:17:25,426 INFO [train.py:885] (1/2) Epoch 15, batch 8300, loss[loss=0.2264, simple_loss=0.292, pruned_loss=0.08046, over 13863.00 frames. utt_duration=805 frames, utt_pad_proportion=0.06285, over 69.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3601, pruned_loss=0.1131, over 2779984.59 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07278, over 46530.59 utterances.], batch size: 69, lr: 3.10e-04
+2022-09-18 07:17:55,326 INFO [train.py:885] (1/2) Epoch 15, batch 8350, loss[loss=0.2642, simple_loss=0.3369, pruned_loss=0.09569, over 14263.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04037, over 130.00 utterances.], tot_loss[loss=0.2962, simple_loss=0.3633, pruned_loss=0.1145, over 2781257.87 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07296, over 47824.56 utterances.], batch size: 130, lr: 3.09e-04
+2022-09-18 07:18:24,870 INFO [train.py:885] (1/2) Epoch 15, batch 8400, loss[loss=0.322, simple_loss=0.4049, pruned_loss=0.1196, over 13981.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05623, over 365.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3635, pruned_loss=0.114, over 2781185.81 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07302, over 48288.97 utterances.], batch size: 365, lr: 3.09e-04
+2022-09-18 07:18:54,722 INFO [train.py:885] (1/2) Epoch 15, batch 8450, loss[loss=0.4183, simple_loss=0.4409, pruned_loss=0.1978, over 14359.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03305, over 244.00 utterances.], tot_loss[loss=0.2989, simple_loss=0.3653, pruned_loss=0.1162, over 2776733.11 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07384, over 48192.84 utterances.], batch size: 244, lr: 3.09e-04
+2022-09-18 07:19:24,110 INFO [train.py:885] (1/2) Epoch 15, batch 8500, loss[loss=0.3946, simple_loss=0.4372, pruned_loss=0.176, over 14248.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04162, over 225.00 utterances.], tot_loss[loss=0.2979, simple_loss=0.3644, pruned_loss=0.1157, over 2780186.04 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07193, over 47379.34 utterances.], batch size: 225, lr: 3.09e-04
+2022-09-18 07:19:53,453 INFO [train.py:885] (1/2) Epoch 15, batch 8550, loss[loss=0.315, simple_loss=0.3791, pruned_loss=0.1254, over 14352.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03618, over 195.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3647, pruned_loss=0.1158, over 2781490.77 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07238, over 47796.95 utterances.], batch size: 195, lr: 3.09e-04
+2022-09-18 07:20:23,029 INFO [train.py:885] (1/2) Epoch 15, batch 8600, loss[loss=0.3079, simple_loss=0.3766, pruned_loss=0.1197, over 14283.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.0397, over 225.00 utterances.], tot_loss[loss=0.3011, simple_loss=0.3672, pruned_loss=0.1176, over 2784586.81 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07197, over 47976.31 utterances.], batch size: 225, lr: 3.09e-04
+2022-09-18 07:20:52,243 INFO [train.py:885] (1/2) Epoch 15, batch 8650, loss[loss=0.2532, simple_loss=0.3307, pruned_loss=0.08789, over 14226.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04657, over 141.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3617, pruned_loss=0.1144, over 2781836.06 frames. utt_duration=241.1 frames, utt_pad_proportion=0.06998, over 46429.02 utterances.], batch size: 141, lr: 3.09e-04
+2022-09-18 07:21:21,700 INFO [train.py:885] (1/2) Epoch 15, batch 8700, loss[loss=0.2112, simple_loss=0.2766, pruned_loss=0.07286, over 13833.00 frames. utt_duration=803.4 frames, utt_pad_proportion=0.06472, over 69.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3627, pruned_loss=0.1143, over 2779088.92 frames. utt_duration=237 frames, utt_pad_proportion=0.07272, over 47202.20 utterances.], batch size: 69, lr: 3.09e-04
+2022-09-18 07:21:52,027 INFO [train.py:885] (1/2) Epoch 15, batch 8750, loss[loss=0.4145, simple_loss=0.4708, pruned_loss=0.1792, over 13970.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05775, over 365.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.365, pruned_loss=0.1154, over 2773869.39 frames. utt_duration=229.8 frames, utt_pad_proportion=0.07497, over 48594.34 utterances.], batch size: 365, lr: 3.09e-04
+2022-09-18 07:22:21,515 INFO [train.py:885] (1/2) Epoch 15, batch 8800, loss[loss=0.1777, simple_loss=0.2452, pruned_loss=0.05508, over 13606.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08331, over 50.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3611, pruned_loss=0.1136, over 2772753.60 frames. utt_duration=238.2 frames, utt_pad_proportion=0.0739, over 46850.80 utterances.], batch size: 50, lr: 3.09e-04
+2022-09-18 07:22:51,035 INFO [train.py:885] (1/2) Epoch 15, batch 8850, loss[loss=0.3086, simple_loss=0.3703, pruned_loss=0.1234, over 14239.00 frames. utt_duration=318 frames, utt_pad_proportion=0.04217, over 180.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3581, pruned_loss=0.1122, over 2774054.24 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07301, over 46070.87 utterances.], batch size: 180, lr: 3.09e-04
+2022-09-18 07:23:20,500 INFO [train.py:885] (1/2) Epoch 15, batch 8900, loss[loss=0.1791, simple_loss=0.2332, pruned_loss=0.06248, over 13281.00 frames. utt_duration=1611 frames, utt_pad_proportion=0.101, over 33.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3583, pruned_loss=0.1125, over 2777866.74 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07118, over 45595.59 utterances.], batch size: 33, lr: 3.09e-04
+2022-09-18 07:23:49,666 INFO [train.py:885] (1/2) Epoch 15, batch 8950, loss[loss=0.1689, simple_loss=0.2198, pruned_loss=0.05904, over 13825.00 frames. utt_duration=1288 frames, utt_pad_proportion=0.07505, over 43.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3574, pruned_loss=0.1123, over 2783677.67 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06852, over 44598.28 utterances.], batch size: 43, lr: 3.09e-04
+2022-09-18 07:24:19,755 INFO [train.py:885] (1/2) Epoch 15, batch 9000, loss[loss=0.1734, simple_loss=0.2416, pruned_loss=0.05261, over 12986.00 frames. utt_duration=1999 frames, utt_pad_proportion=0.1238, over 26.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3594, pruned_loss=0.1127, over 2783349.79 frames. utt_duration=244.4 frames, utt_pad_proportion=0.0698, over 45837.90 utterances.], batch size: 26, lr: 3.09e-04
+2022-09-18 07:24:19,756 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 07:24:24,406 INFO [train.py:914] (1/2) Epoch 15, validation: loss=0.193, simple_loss=0.2721, pruned_loss=0.05698, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 07:24:54,469 INFO [train.py:885] (1/2) Epoch 15, batch 9050, loss[loss=0.3002, simple_loss=0.3607, pruned_loss=0.1199, over 14250.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.04193, over 180.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3601, pruned_loss=0.113, over 2786020.82 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07002, over 46212.90 utterances.], batch size: 180, lr: 3.09e-04
+2022-09-18 07:25:23,980 INFO [train.py:885] (1/2) Epoch 15, batch 9100, loss[loss=0.3226, simple_loss=0.3801, pruned_loss=0.1326, over 14288.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03911, over 180.00 utterances.], tot_loss[loss=0.293, simple_loss=0.3601, pruned_loss=0.1129, over 2782419.61 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06966, over 46195.06 utterances.], batch size: 180, lr: 3.09e-04
+2022-09-18 07:25:53,520 INFO [train.py:885] (1/2) Epoch 15, batch 9150, loss[loss=0.1738, simple_loss=0.2423, pruned_loss=0.05262, over 12898.00 frames. utt_duration=1986 frames, utt_pad_proportion=0.1324, over 26.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3612, pruned_loss=0.1132, over 2783412.19 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07019, over 46577.65 utterances.], batch size: 26, lr: 3.09e-04
+2022-09-18 07:26:23,206 INFO [train.py:885] (1/2) Epoch 15, batch 9200, loss[loss=0.328, simple_loss=0.3925, pruned_loss=0.1318, over 14367.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03294, over 244.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3596, pruned_loss=0.1125, over 2777333.12 frames. utt_duration=244.3 frames, utt_pad_proportion=0.0715, over 45755.10 utterances.], batch size: 244, lr: 3.09e-04
+2022-09-18 07:26:53,450 INFO [train.py:885] (1/2) Epoch 15, batch 9250, loss[loss=0.2807, simple_loss=0.3539, pruned_loss=0.1038, over 14376.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03716, over 167.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3579, pruned_loss=0.1114, over 2777846.94 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07182, over 45682.97 utterances.], batch size: 167, lr: 3.09e-04
+2022-09-18 07:27:22,576 INFO [train.py:885] (1/2) Epoch 15, batch 9300, loss[loss=0.2905, simple_loss=0.3652, pruned_loss=0.1079, over 14301.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03918, over 225.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.355, pruned_loss=0.1102, over 2780467.53 frames. utt_duration=253 frames, utt_pad_proportion=0.07129, over 44218.93 utterances.], batch size: 225, lr: 3.09e-04
+2022-09-18 07:27:52,378 INFO [train.py:885] (1/2) Epoch 15, batch 9350, loss[loss=0.1581, simple_loss=0.2202, pruned_loss=0.04798, over 13456.00 frames. utt_duration=1632 frames, utt_pad_proportion=0.09467, over 33.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3502, pruned_loss=0.1083, over 2774493.22 frames. utt_duration=261.8 frames, utt_pad_proportion=0.07046, over 42631.11 utterances.], batch size: 33, lr: 3.09e-04
+2022-09-18 07:28:22,059 INFO [train.py:885] (1/2) Epoch 15, batch 9400, loss[loss=0.2999, simple_loss=0.366, pruned_loss=0.1169, over 14287.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03983, over 225.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3556, pruned_loss=0.1116, over 2776651.77 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07116, over 44586.38 utterances.], batch size: 225, lr: 3.09e-04
+2022-09-18 07:28:51,673 INFO [train.py:885] (1/2) Epoch 15, batch 9450, loss[loss=0.2994, simple_loss=0.3614, pruned_loss=0.1187, over 14240.00 frames. utt_duration=371.6 frames, utt_pad_proportion=0.04229, over 154.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3568, pruned_loss=0.112, over 2781397.59 frames. utt_duration=250.4 frames, utt_pad_proportion=0.0692, over 44692.51 utterances.], batch size: 154, lr: 3.09e-04
+2022-09-18 07:29:21,183 INFO [train.py:885] (1/2) Epoch 15, batch 9500, loss[loss=0.3304, simple_loss=0.3835, pruned_loss=0.1386, over 14327.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03764, over 210.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3562, pruned_loss=0.1121, over 2780432.91 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06904, over 44081.64 utterances.], batch size: 210, lr: 3.09e-04
+2022-09-18 07:29:50,910 INFO [train.py:885] (1/2) Epoch 15, batch 9550, loss[loss=0.2953, simple_loss=0.376, pruned_loss=0.1073, over 14318.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03768, over 210.00 utterances.], tot_loss[loss=0.2951, simple_loss=0.362, pruned_loss=0.1141, over 2781358.71 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07142, over 46740.48 utterances.], batch size: 210, lr: 3.08e-04
+2022-09-18 07:30:20,144 INFO [train.py:885] (1/2) Epoch 15, batch 9600, loss[loss=0.2878, simple_loss=0.3589, pruned_loss=0.1083, over 14275.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04066, over 180.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3613, pruned_loss=0.1142, over 2783502.02 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07068, over 46344.79 utterances.], batch size: 180, lr: 3.08e-04
+2022-09-18 07:30:49,804 INFO [train.py:885] (1/2) Epoch 15, batch 9650, loss[loss=0.4011, simple_loss=0.4435, pruned_loss=0.1793, over 14199.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04455, over 306.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3558, pruned_loss=0.1121, over 2782499.80 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06986, over 43992.06 utterances.], batch size: 306, lr: 3.08e-04
+2022-09-18 07:31:20,369 INFO [train.py:885] (1/2) Epoch 15, batch 9700, loss[loss=0.22, simple_loss=0.2745, pruned_loss=0.08275, over 13989.00 frames. utt_duration=709.9 frames, utt_pad_proportion=0.05602, over 79.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3574, pruned_loss=0.1129, over 2782560.08 frames. utt_duration=246.9 frames, utt_pad_proportion=0.0697, over 45354.16 utterances.], batch size: 79, lr: 3.08e-04
+2022-09-18 07:31:50,325 INFO [train.py:885] (1/2) Epoch 15, batch 9750, loss[loss=0.491, simple_loss=0.5817, pruned_loss=0.2001, over 12558.00 frames. utt_duration=63.49 frames, utt_pad_proportion=0.1421, over 811.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3607, pruned_loss=0.1138, over 2784321.66 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07076, over 47023.07 utterances.], batch size: 811, lr: 3.08e-04
+2022-09-18 07:32:19,423 INFO [train.py:885] (1/2) Epoch 15, batch 9800, loss[loss=0.3392, simple_loss=0.399, pruned_loss=0.1397, over 14201.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.0449, over 306.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3579, pruned_loss=0.1124, over 2781511.92 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07058, over 45987.53 utterances.], batch size: 306, lr: 3.08e-04
+2022-09-18 07:32:48,975 INFO [train.py:885] (1/2) Epoch 15, batch 9850, loss[loss=0.3028, simple_loss=0.3718, pruned_loss=0.1169, over 14244.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04121, over 141.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3565, pruned_loss=0.1115, over 2782254.47 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06962, over 45358.30 utterances.], batch size: 141, lr: 3.08e-04
+2022-09-18 07:33:18,467 INFO [train.py:885] (1/2) Epoch 15, batch 9900, loss[loss=0.3578, simple_loss=0.4506, pruned_loss=0.1325, over 13624.00 frames. utt_duration=98.69 frames, utt_pad_proportion=0.07762, over 560.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3578, pruned_loss=0.1119, over 2784719.54 frames. utt_duration=243.6 frames, utt_pad_proportion=0.06886, over 46002.68 utterances.], batch size: 560, lr: 3.08e-04
+2022-09-18 07:33:48,205 INFO [train.py:885] (1/2) Epoch 15, batch 9950, loss[loss=0.3314, simple_loss=0.4049, pruned_loss=0.129, over 13776.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07149, over 411.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.3607, pruned_loss=0.1125, over 2779526.11 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07201, over 48005.94 utterances.], batch size: 411, lr: 3.08e-04
+2022-09-18 07:34:17,400 INFO [train.py:885] (1/2) Epoch 15, batch 10000, loss[loss=0.4714, simple_loss=0.5319, pruned_loss=0.2055, over 13159.00 frames. utt_duration=82.19 frames, utt_pad_proportion=0.1066, over 653.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3622, pruned_loss=0.1144, over 2777667.89 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07249, over 47915.29 utterances.], batch size: 653, lr: 3.08e-04
+2022-09-18 07:34:47,148 INFO [train.py:885] (1/2) Epoch 15, batch 10050, loss[loss=0.5607, simple_loss=0.6371, pruned_loss=0.2422, over 12460.00 frames. utt_duration=63.13 frames, utt_pad_proportion=0.1468, over 810.00 utterances.], tot_loss[loss=0.2951, simple_loss=0.3623, pruned_loss=0.1139, over 2775022.10 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07394, over 47793.56 utterances.], batch size: 810, lr: 3.08e-04
+2022-09-18 07:35:17,064 INFO [train.py:885] (1/2) Epoch 15, batch 10100, loss[loss=0.4927, simple_loss=0.589, pruned_loss=0.1983, over 12510.00 frames. utt_duration=63.37 frames, utt_pad_proportion=0.1436, over 810.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3614, pruned_loss=0.1129, over 2778151.40 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07329, over 47691.95 utterances.], batch size: 810, lr: 3.08e-04
+2022-09-18 07:35:46,657 INFO [train.py:885] (1/2) Epoch 15, batch 10150, loss[loss=0.2883, simple_loss=0.3644, pruned_loss=0.1061, over 14287.00 frames. utt_duration=254.2 frames, utt_pad_proportion=0.04072, over 226.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3584, pruned_loss=0.1118, over 2777020.25 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07278, over 46212.50 utterances.], batch size: 226, lr: 3.08e-04
+2022-09-18 07:36:15,729 INFO [train.py:885] (1/2) Epoch 15, batch 10200, loss[loss=0.1713, simple_loss=0.2429, pruned_loss=0.04992, over 13492.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.08725, over 50.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3544, pruned_loss=0.1103, over 2777724.33 frames. utt_duration=251.6 frames, utt_pad_proportion=0.0718, over 44428.29 utterances.], batch size: 50, lr: 3.08e-04
+2022-09-18 07:36:45,394 INFO [train.py:885] (1/2) Epoch 15, batch 10250, loss[loss=0.2348, simple_loss=0.3145, pruned_loss=0.07748, over 14266.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04036, over 130.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3556, pruned_loss=0.111, over 2780963.18 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07095, over 43785.86 utterances.], batch size: 130, lr: 3.08e-04
+2022-09-18 07:37:15,715 INFO [train.py:885] (1/2) Epoch 15, batch 10300, loss[loss=0.4188, simple_loss=0.4856, pruned_loss=0.176, over 13615.00 frames. utt_duration=98.58 frames, utt_pad_proportion=0.07874, over 560.00 utterances.], tot_loss[loss=0.2919, simple_loss=0.3594, pruned_loss=0.1122, over 2780431.83 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07243, over 46086.71 utterances.], batch size: 560, lr: 3.08e-04
+2022-09-18 07:37:44,388 INFO [train.py:885] (1/2) Epoch 15, batch 10350, loss[loss=0.2971, simple_loss=0.3624, pruned_loss=0.1159, over 14388.00 frames. utt_duration=346 frames, utt_pad_proportion=0.03608, over 167.00 utterances.], tot_loss[loss=0.2967, simple_loss=0.3634, pruned_loss=0.115, over 2783028.54 frames. utt_duration=238.7 frames, utt_pad_proportion=0.0715, over 46932.37 utterances.], batch size: 167, lr: 3.08e-04
+2022-09-18 07:38:14,008 INFO [train.py:885] (1/2) Epoch 15, batch 10400, loss[loss=0.2345, simple_loss=0.3175, pruned_loss=0.07573, over 14395.00 frames. utt_duration=346.1 frames, utt_pad_proportion=0.03593, over 167.00 utterances.], tot_loss[loss=0.296, simple_loss=0.3628, pruned_loss=0.1145, over 2783436.08 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07027, over 47189.23 utterances.], batch size: 167, lr: 3.08e-04
+2022-09-18 07:38:43,069 INFO [train.py:885] (1/2) Epoch 15, batch 10450, loss[loss=0.2477, simple_loss=0.3084, pruned_loss=0.09344, over 14178.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04448, over 109.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3619, pruned_loss=0.1144, over 2783770.84 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07075, over 46456.47 utterances.], batch size: 109, lr: 3.08e-04
+2022-09-18 07:39:12,956 INFO [train.py:885] (1/2) Epoch 15, batch 10500, loss[loss=0.306, simple_loss=0.369, pruned_loss=0.1215, over 14344.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03628, over 195.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3633, pruned_loss=0.1153, over 2781501.68 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07167, over 46976.27 utterances.], batch size: 195, lr: 3.08e-04
+2022-09-18 07:39:42,152 INFO [train.py:885] (1/2) Epoch 15, batch 10550, loss[loss=0.2785, simple_loss=0.3412, pruned_loss=0.1079, over 14279.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.04002, over 154.00 utterances.], tot_loss[loss=0.3005, simple_loss=0.366, pruned_loss=0.1175, over 2785782.81 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07112, over 46962.86 utterances.], batch size: 154, lr: 3.08e-04
+2022-09-18 07:40:11,894 INFO [train.py:885] (1/2) Epoch 15, batch 10600, loss[loss=0.3143, simple_loss=0.3746, pruned_loss=0.127, over 14322.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03845, over 195.00 utterances.], tot_loss[loss=0.3008, simple_loss=0.3666, pruned_loss=0.1175, over 2787852.15 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07096, over 47368.83 utterances.], batch size: 195, lr: 3.08e-04
+2022-09-18 07:40:41,966 INFO [train.py:885] (1/2) Epoch 15, batch 10650, loss[loss=0.255, simple_loss=0.3184, pruned_loss=0.09579, over 14057.00 frames. utt_duration=575.3 frames, utt_pad_proportion=0.05539, over 98.00 utterances.], tot_loss[loss=0.2986, simple_loss=0.3642, pruned_loss=0.1165, over 2780933.33 frames. utt_duration=238 frames, utt_pad_proportion=0.07248, over 47034.09 utterances.], batch size: 98, lr: 3.08e-04
+2022-09-18 07:41:12,069 INFO [train.py:885] (1/2) Epoch 15, batch 10700, loss[loss=0.2572, simple_loss=0.3204, pruned_loss=0.09701, over 14092.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05493, over 98.00 utterances.], tot_loss[loss=0.2987, simple_loss=0.3649, pruned_loss=0.1162, over 2776145.70 frames. utt_duration=233.9 frames, utt_pad_proportion=0.0739, over 47771.76 utterances.], batch size: 98, lr: 3.08e-04
+2022-09-18 07:41:41,515 INFO [train.py:885] (1/2) Epoch 15, batch 10750, loss[loss=0.2761, simple_loss=0.3458, pruned_loss=0.1032, over 14286.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.043, over 141.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3629, pruned_loss=0.1151, over 2781641.38 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07191, over 46374.07 utterances.], batch size: 141, lr: 3.07e-04
+2022-09-18 07:42:10,854 INFO [train.py:885] (1/2) Epoch 15, batch 10800, loss[loss=0.3001, simple_loss=0.3548, pruned_loss=0.1227, over 14159.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.04567, over 109.00 utterances.], tot_loss[loss=0.2988, simple_loss=0.3643, pruned_loss=0.1167, over 2782043.99 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07213, over 46157.36 utterances.], batch size: 109, lr: 3.07e-04
+2022-09-18 07:42:40,586 INFO [train.py:885] (1/2) Epoch 15, batch 10850, loss[loss=0.4127, simple_loss=0.4641, pruned_loss=0.1807, over 13963.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05814, over 365.00 utterances.], tot_loss[loss=0.3001, simple_loss=0.3657, pruned_loss=0.1172, over 2779139.23 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07443, over 47361.47 utterances.], batch size: 365, lr: 3.07e-04
+2022-09-18 07:43:09,723 INFO [train.py:885] (1/2) Epoch 15, batch 10900, loss[loss=0.2896, simple_loss=0.3561, pruned_loss=0.1116, over 14345.00 frames. utt_duration=442.9 frames, utt_pad_proportion=0.03726, over 130.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3641, pruned_loss=0.1163, over 2786289.93 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07137, over 46254.37 utterances.], batch size: 130, lr: 3.07e-04
+2022-09-18 07:43:39,785 INFO [train.py:885] (1/2) Epoch 15, batch 10950, loss[loss=0.3664, simple_loss=0.4536, pruned_loss=0.1396, over 13658.00 frames. utt_duration=98.98 frames, utt_pad_proportion=0.07495, over 560.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.362, pruned_loss=0.1146, over 2788636.61 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07067, over 46326.16 utterances.], batch size: 560, lr: 3.07e-04
+2022-09-18 07:44:15,797 INFO [train.py:885] (1/2) Epoch 15, batch 11000, loss[loss=0.2211, simple_loss=0.2882, pruned_loss=0.07697, over 14142.00 frames. utt_duration=578.8 frames, utt_pad_proportion=0.05112, over 98.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.362, pruned_loss=0.1141, over 2790231.51 frames. utt_duration=242.6 frames, utt_pad_proportion=0.06953, over 46290.51 utterances.], batch size: 98, lr: 3.07e-04
+2022-09-18 07:44:45,220 INFO [train.py:885] (1/2) Epoch 15, batch 11050, loss[loss=0.2456, simple_loss=0.3329, pruned_loss=0.07912, over 14394.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03404, over 210.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3582, pruned_loss=0.1119, over 2787896.07 frames. utt_duration=248.9 frames, utt_pad_proportion=0.0693, over 45073.53 utterances.], batch size: 210, lr: 3.07e-04
+2022-09-18 07:45:14,004 INFO [train.py:885] (1/2) Epoch 15, batch 11100, loss[loss=0.312, simple_loss=0.385, pruned_loss=0.1195, over 13991.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05601, over 365.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3557, pruned_loss=0.1095, over 2787042.89 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06877, over 44655.93 utterances.], batch size: 365, lr: 3.07e-04
+2022-09-18 07:45:43,848 INFO [train.py:885] (1/2) Epoch 15, batch 11150, loss[loss=0.2963, simple_loss=0.3715, pruned_loss=0.1105, over 14230.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04286, over 225.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3592, pruned_loss=0.112, over 2783954.97 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07044, over 45809.34 utterances.], batch size: 225, lr: 3.07e-04
+2022-09-18 07:46:13,812 INFO [train.py:885] (1/2) Epoch 15, batch 11200, loss[loss=0.3038, simple_loss=0.3754, pruned_loss=0.1161, over 14252.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04202, over 225.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3592, pruned_loss=0.111, over 2780743.06 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07061, over 47005.58 utterances.], batch size: 225, lr: 3.07e-04
+2022-09-18 07:46:43,021 INFO [train.py:885] (1/2) Epoch 15, batch 11250, loss[loss=0.2115, simple_loss=0.2841, pruned_loss=0.06941, over 14158.00 frames. utt_duration=637.9 frames, utt_pad_proportion=0.04935, over 89.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3572, pruned_loss=0.1103, over 2784555.91 frames. utt_duration=245.4 frames, utt_pad_proportion=0.0698, over 45665.00 utterances.], batch size: 89, lr: 3.07e-04
+2022-09-18 07:47:12,614 INFO [train.py:885] (1/2) Epoch 15, batch 11300, loss[loss=0.1635, simple_loss=0.2305, pruned_loss=0.04827, over 12727.00 frames. utt_duration=2123 frames, utt_pad_proportion=0.1368, over 24.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3544, pruned_loss=0.109, over 2780885.55 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07054, over 44891.41 utterances.], batch size: 24, lr: 3.07e-04
+2022-09-18 07:47:42,505 INFO [train.py:885] (1/2) Epoch 15, batch 11350, loss[loss=0.3696, simple_loss=0.4226, pruned_loss=0.1583, over 14219.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04352, over 306.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3554, pruned_loss=0.1104, over 2781092.59 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07076, over 44718.67 utterances.], batch size: 306, lr: 3.07e-04
+2022-09-18 07:48:13,040 INFO [train.py:885] (1/2) Epoch 15, batch 11400, loss[loss=0.2891, simple_loss=0.3548, pruned_loss=0.1116, over 14389.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03133, over 244.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3584, pruned_loss=0.1123, over 2781720.27 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07044, over 45465.53 utterances.], batch size: 244, lr: 3.07e-04
+2022-09-18 07:48:43,108 INFO [train.py:885] (1/2) Epoch 15, batch 11450, loss[loss=0.476, simple_loss=0.5362, pruned_loss=0.2079, over 13626.00 frames. utt_duration=98.68 frames, utt_pad_proportion=0.07779, over 560.00 utterances.], tot_loss[loss=0.294, simple_loss=0.3606, pruned_loss=0.1138, over 2783872.10 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07035, over 45848.36 utterances.], batch size: 560, lr: 3.07e-04
+2022-09-18 07:49:11,957 INFO [train.py:885] (1/2) Epoch 15, batch 11500, loss[loss=0.2556, simple_loss=0.3323, pruned_loss=0.08949, over 14285.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.04287, over 141.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3578, pruned_loss=0.1122, over 2784480.78 frames. utt_duration=250 frames, utt_pad_proportion=0.06951, over 44823.84 utterances.], batch size: 141, lr: 3.07e-04
+2022-09-18 07:49:41,240 INFO [train.py:885] (1/2) Epoch 15, batch 11550, loss[loss=0.2185, simple_loss=0.2895, pruned_loss=0.07376, over 13679.00 frames. utt_duration=794.5 frames, utt_pad_proportion=0.07506, over 69.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3589, pruned_loss=0.1131, over 2790276.74 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06658, over 44818.83 utterances.], batch size: 69, lr: 3.07e-04
+2022-09-18 07:50:10,852 INFO [train.py:885] (1/2) Epoch 15, batch 11600, loss[loss=0.2048, simple_loss=0.2824, pruned_loss=0.06359, over 12680.00 frames. utt_duration=2030 frames, utt_pad_proportion=0.1534, over 25.00 utterances.], tot_loss[loss=0.2915, simple_loss=0.3581, pruned_loss=0.1124, over 2785144.77 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06843, over 45131.15 utterances.], batch size: 25, lr: 3.07e-04
+2022-09-18 07:50:39,900 INFO [train.py:885] (1/2) Epoch 15, batch 11650, loss[loss=0.4697, simple_loss=0.5394, pruned_loss=0.2, over 13177.00 frames. utt_duration=82.32 frames, utt_pad_proportion=0.1052, over 653.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3583, pruned_loss=0.1127, over 2791947.57 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06612, over 44951.04 utterances.], batch size: 653, lr: 3.07e-04
+2022-09-18 07:51:09,928 INFO [train.py:885] (1/2) Epoch 15, batch 11700, loss[loss=0.185, simple_loss=0.262, pruned_loss=0.05404, over 13836.00 frames. utt_duration=1319 frames, utt_pad_proportion=0.07625, over 42.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3557, pruned_loss=0.1112, over 2793614.17 frames. utt_duration=261.1 frames, utt_pad_proportion=0.06446, over 43044.75 utterances.], batch size: 42, lr: 3.07e-04
+2022-09-18 07:51:39,525 INFO [train.py:885] (1/2) Epoch 15, batch 11750, loss[loss=0.5531, simple_loss=0.6292, pruned_loss=0.2385, over 12481.00 frames. utt_duration=63.23 frames, utt_pad_proportion=0.1455, over 810.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3524, pruned_loss=0.1097, over 2790635.13 frames. utt_duration=270.1 frames, utt_pad_proportion=0.06399, over 41561.30 utterances.], batch size: 810, lr: 3.07e-04
+2022-09-18 07:52:08,452 INFO [train.py:885] (1/2) Epoch 15, batch 11800, loss[loss=0.3274, simple_loss=0.4101, pruned_loss=0.1223, over 14001.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.0558, over 365.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3514, pruned_loss=0.1089, over 2787370.31 frames. utt_duration=269.7 frames, utt_pad_proportion=0.06474, over 41565.15 utterances.], batch size: 365, lr: 3.07e-04
+2022-09-18 07:52:38,424 INFO [train.py:885] (1/2) Epoch 15, batch 11850, loss[loss=0.6078, simple_loss=0.6345, pruned_loss=0.2906, over 13126.00 frames. utt_duration=81.98 frames, utt_pad_proportion=0.1089, over 653.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3528, pruned_loss=0.1097, over 2785221.41 frames. utt_duration=263.9 frames, utt_pad_proportion=0.06614, over 42453.71 utterances.], batch size: 653, lr: 3.07e-04
+2022-09-18 07:53:07,701 INFO [train.py:885] (1/2) Epoch 15, batch 11900, loss[loss=0.2441, simple_loss=0.3153, pruned_loss=0.08643, over 14326.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.03662, over 130.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3575, pruned_loss=0.112, over 2780938.18 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06892, over 44491.03 utterances.], batch size: 130, lr: 3.07e-04
+2022-09-18 07:53:36,929 INFO [train.py:885] (1/2) Epoch 15, batch 11950, loss[loss=0.3585, simple_loss=0.4061, pruned_loss=0.1555, over 14221.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04327, over 306.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3533, pruned_loss=0.1101, over 2787324.43 frames. utt_duration=263.6 frames, utt_pad_proportion=0.06644, over 42533.97 utterances.], batch size: 306, lr: 3.06e-04
+2022-09-18 07:54:06,556 INFO [train.py:885] (1/2) Epoch 15, batch 12000, loss[loss=0.2874, simple_loss=0.361, pruned_loss=0.1069, over 14341.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03391, over 244.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3558, pruned_loss=0.1107, over 2787341.03 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06803, over 44226.55 utterances.], batch size: 244, lr: 3.06e-04
+2022-09-18 07:54:06,556 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 07:54:11,270 INFO [train.py:914] (1/2) Epoch 15, validation: loss=0.1998, simple_loss=0.2786, pruned_loss=0.06048, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 07:54:41,339 INFO [train.py:885] (1/2) Epoch 15, batch 12050, loss[loss=0.2039, simple_loss=0.2814, pruned_loss=0.06319, over 14318.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03901, over 120.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3571, pruned_loss=0.1112, over 2787422.53 frames. utt_duration=247 frames, utt_pad_proportion=0.0685, over 45416.06 utterances.], batch size: 120, lr: 3.06e-04
+2022-09-18 07:55:10,714 INFO [train.py:885] (1/2) Epoch 15, batch 12100, loss[loss=0.2475, simple_loss=0.3177, pruned_loss=0.0886, over 14016.00 frames. utt_duration=573.7 frames, utt_pad_proportion=0.05789, over 98.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3586, pruned_loss=0.113, over 2782282.90 frames. utt_duration=244.6 frames, utt_pad_proportion=0.06923, over 45780.68 utterances.], batch size: 98, lr: 3.06e-04
+2022-09-18 07:55:39,764 INFO [train.py:885] (1/2) Epoch 15, batch 12150, loss[loss=0.205, simple_loss=0.2614, pruned_loss=0.07427, over 13838.00 frames. utt_duration=804 frames, utt_pad_proportion=0.06297, over 69.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.353, pruned_loss=0.1104, over 2784154.04 frames. utt_duration=259.8 frames, utt_pad_proportion=0.06666, over 43106.74 utterances.], batch size: 69, lr: 3.06e-04
+2022-09-18 07:56:10,216 INFO [train.py:885] (1/2) Epoch 15, batch 12200, loss[loss=0.2847, simple_loss=0.3623, pruned_loss=0.1035, over 14336.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.03723, over 226.00 utterances.], tot_loss[loss=0.286, simple_loss=0.353, pruned_loss=0.1095, over 2783318.52 frames. utt_duration=255.6 frames, utt_pad_proportion=0.0662, over 43809.78 utterances.], batch size: 226, lr: 3.06e-04
+2022-09-18 07:56:39,265 INFO [train.py:885] (1/2) Epoch 15, batch 12250, loss[loss=0.3295, simple_loss=0.4267, pruned_loss=0.1162, over 13680.00 frames. utt_duration=116 frames, utt_pad_proportion=0.0792, over 478.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3558, pruned_loss=0.1105, over 2782646.90 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06764, over 44771.51 utterances.], batch size: 478, lr: 3.06e-04
+2022-09-18 07:57:09,207 INFO [train.py:885] (1/2) Epoch 15, batch 12300, loss[loss=0.2625, simple_loss=0.3657, pruned_loss=0.07962, over 13776.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07106, over 411.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3568, pruned_loss=0.1109, over 2779711.64 frames. utt_duration=244.5 frames, utt_pad_proportion=0.0694, over 45762.07 utterances.], batch size: 411, lr: 3.06e-04
+2022-09-18 07:57:39,166 INFO [train.py:885] (1/2) Epoch 15, batch 12350, loss[loss=0.1977, simple_loss=0.2724, pruned_loss=0.06147, over 14206.00 frames. utt_duration=640 frames, utt_pad_proportion=0.04769, over 89.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3598, pruned_loss=0.1126, over 2780919.95 frames. utt_duration=240 frames, utt_pad_proportion=0.07022, over 46642.39 utterances.], batch size: 89, lr: 3.06e-04
+2022-09-18 07:58:08,467 INFO [train.py:885] (1/2) Epoch 15, batch 12400, loss[loss=0.314, simple_loss=0.3873, pruned_loss=0.1204, over 14200.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0443, over 306.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3579, pruned_loss=0.111, over 2777844.51 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07148, over 46637.73 utterances.], batch size: 306, lr: 3.06e-04
+2022-09-18 07:58:38,178 INFO [train.py:885] (1/2) Epoch 15, batch 12450, loss[loss=0.4011, simple_loss=0.4394, pruned_loss=0.1814, over 14192.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04547, over 306.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3586, pruned_loss=0.112, over 2778720.12 frames. utt_duration=242 frames, utt_pad_proportion=0.06996, over 46206.33 utterances.], batch size: 306, lr: 3.06e-04
+2022-09-18 07:59:07,906 INFO [train.py:885] (1/2) Epoch 15, batch 12500, loss[loss=0.2381, simple_loss=0.306, pruned_loss=0.08512, over 14066.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05482, over 98.00 utterances.], tot_loss[loss=0.2993, simple_loss=0.3655, pruned_loss=0.1166, over 2776818.47 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07251, over 47784.08 utterances.], batch size: 98, lr: 3.06e-04
+2022-09-18 07:59:37,528 INFO [train.py:885] (1/2) Epoch 15, batch 12550, loss[loss=0.2451, simple_loss=0.3146, pruned_loss=0.08778, over 14108.00 frames. utt_duration=519.3 frames, utt_pad_proportion=0.0489, over 109.00 utterances.], tot_loss[loss=0.2977, simple_loss=0.3635, pruned_loss=0.116, over 2778144.65 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07209, over 46731.39 utterances.], batch size: 109, lr: 3.06e-04
+2022-09-18 08:00:04,903 INFO [train.py:885] (1/2) Epoch 15, batch 12600, loss[loss=0.2124, simple_loss=0.2819, pruned_loss=0.07144, over 13841.00 frames. utt_duration=924.2 frames, utt_pad_proportion=0.06836, over 60.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3583, pruned_loss=0.1136, over 2780330.36 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07035, over 44294.91 utterances.], batch size: 60, lr: 3.06e-04
+2022-09-18 08:00:24,418 INFO [train.py:885] (1/2) Epoch 16, batch 0, loss[loss=0.5356, simple_loss=0.6078, pruned_loss=0.2317, over 12450.00 frames. utt_duration=63.04 frames, utt_pad_proportion=0.1481, over 810.00 utterances.], tot_loss[loss=0.5356, simple_loss=0.6078, pruned_loss=0.2317, over 12450.00 frames. utt_duration=63.04 frames, utt_pad_proportion=0.1481, over 810.00 utterances.], batch size: 810, lr: 2.97e-04
+2022-09-18 08:00:53,812 INFO [train.py:885] (1/2) Epoch 16, batch 50, loss[loss=0.1601, simple_loss=0.2231, pruned_loss=0.0486, over 13679.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.08091, over 50.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3529, pruned_loss=0.1071, over 625624.88 frames. utt_duration=245 frames, utt_pad_proportion=0.07029, over 10274.80 utterances.], batch size: 50, lr: 2.97e-04
+2022-09-18 08:01:23,311 INFO [train.py:885] (1/2) Epoch 16, batch 100, loss[loss=0.3418, simple_loss=0.4199, pruned_loss=0.1319, over 13997.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.0557, over 365.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3435, pruned_loss=0.1035, over 1102898.59 frames. utt_duration=263.3 frames, utt_pad_proportion=0.06968, over 16846.57 utterances.], batch size: 365, lr: 2.97e-04
+2022-09-18 08:01:53,382 INFO [train.py:885] (1/2) Epoch 16, batch 150, loss[loss=0.217, simple_loss=0.2847, pruned_loss=0.07462, over 13549.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08713, over 50.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3558, pruned_loss=0.1108, over 1476056.28 frames. utt_duration=251.8 frames, utt_pad_proportion=0.0694, over 23584.88 utterances.], batch size: 50, lr: 2.97e-04
+2022-09-18 08:02:23,085 INFO [train.py:885] (1/2) Epoch 16, batch 200, loss[loss=0.2542, simple_loss=0.3279, pruned_loss=0.09027, over 14307.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03817, over 154.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.36, pruned_loss=0.1122, over 1767165.05 frames. utt_duration=241.2 frames, utt_pad_proportion=0.06865, over 29488.77 utterances.], batch size: 154, lr: 2.97e-04
+2022-09-18 08:02:52,863 INFO [train.py:885] (1/2) Epoch 16, batch 250, loss[loss=0.3561, simple_loss=0.4266, pruned_loss=0.1428, over 13784.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07076, over 411.00 utterances.], tot_loss[loss=0.2972, simple_loss=0.3645, pruned_loss=0.1149, over 1991239.31 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07224, over 34615.98 utterances.], batch size: 411, lr: 2.97e-04
+2022-09-18 08:03:22,545 INFO [train.py:885] (1/2) Epoch 16, batch 300, loss[loss=0.1966, simple_loss=0.2777, pruned_loss=0.05773, over 13253.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.09553, over 41.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3623, pruned_loss=0.1136, over 2168018.10 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07109, over 36801.61 utterances.], batch size: 41, lr: 2.97e-04
+2022-09-18 08:03:51,605 INFO [train.py:885] (1/2) Epoch 16, batch 350, loss[loss=0.2623, simple_loss=0.3369, pruned_loss=0.09383, over 14280.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04258, over 154.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3575, pruned_loss=0.1117, over 2303760.77 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06862, over 37353.81 utterances.], batch size: 154, lr: 2.97e-04
+2022-09-18 08:04:21,606 INFO [train.py:885] (1/2) Epoch 16, batch 400, loss[loss=0.6103, simple_loss=0.6608, pruned_loss=0.2799, over 12470.00 frames. utt_duration=63.12 frames, utt_pad_proportion=0.1471, over 810.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3615, pruned_loss=0.1127, over 2405779.61 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07182, over 41308.82 utterances.], batch size: 810, lr: 2.97e-04
+2022-09-18 08:04:51,510 INFO [train.py:885] (1/2) Epoch 16, batch 450, loss[loss=0.5061, simple_loss=0.595, pruned_loss=0.2086, over 12450.00 frames. utt_duration=63.14 frames, utt_pad_proportion=0.1467, over 810.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3594, pruned_loss=0.1125, over 2489830.96 frames. utt_duration=243.6 frames, utt_pad_proportion=0.0701, over 41127.33 utterances.], batch size: 810, lr: 2.97e-04
+2022-09-18 08:05:28,683 INFO [train.py:885] (1/2) Epoch 16, batch 500, loss[loss=0.359, simple_loss=0.4129, pruned_loss=0.1526, over 14320.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03874, over 283.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3544, pruned_loss=0.1103, over 2552846.34 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06927, over 40412.47 utterances.], batch size: 283, lr: 2.97e-04
+2022-09-18 08:05:58,495 INFO [train.py:885] (1/2) Epoch 16, batch 550, loss[loss=0.2075, simple_loss=0.2872, pruned_loss=0.06394, over 13840.00 frames. utt_duration=803.9 frames, utt_pad_proportion=0.06411, over 69.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3509, pruned_loss=0.1086, over 2599691.51 frames. utt_duration=260.9 frames, utt_pad_proportion=0.06977, over 40079.57 utterances.], batch size: 69, lr: 2.97e-04
+2022-09-18 08:06:27,931 INFO [train.py:885] (1/2) Epoch 16, batch 600, loss[loss=0.1455, simple_loss=0.2051, pruned_loss=0.043, over 12600.00 frames. utt_duration=2102 frames, utt_pad_proportion=0.1488, over 24.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.354, pruned_loss=0.1097, over 2640980.49 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06976, over 41881.72 utterances.], batch size: 24, lr: 2.97e-04
+2022-09-18 08:06:57,262 INFO [train.py:885] (1/2) Epoch 16, batch 650, loss[loss=0.2473, simple_loss=0.3099, pruned_loss=0.09233, over 14163.00 frames. utt_duration=579.7 frames, utt_pad_proportion=0.04809, over 98.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3574, pruned_loss=0.111, over 2670177.65 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07248, over 44195.68 utterances.], batch size: 98, lr: 2.97e-04
+2022-09-18 08:07:26,374 INFO [train.py:885] (1/2) Epoch 16, batch 700, loss[loss=0.3009, simple_loss=0.3638, pruned_loss=0.119, over 14305.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03949, over 120.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3543, pruned_loss=0.1099, over 2700520.16 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06998, over 42543.20 utterances.], batch size: 120, lr: 2.97e-04
+2022-09-18 08:07:55,680 INFO [train.py:885] (1/2) Epoch 16, batch 750, loss[loss=0.3214, simple_loss=0.3783, pruned_loss=0.1322, over 14253.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.0419, over 225.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3567, pruned_loss=0.111, over 2715833.61 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07184, over 44876.33 utterances.], batch size: 225, lr: 2.96e-04
+2022-09-18 08:08:25,417 INFO [train.py:885] (1/2) Epoch 16, batch 800, loss[loss=0.2695, simple_loss=0.3501, pruned_loss=0.09442, over 14368.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03513, over 195.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3601, pruned_loss=0.1124, over 2726325.40 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07436, over 47130.59 utterances.], batch size: 195, lr: 2.96e-04
+2022-09-18 08:08:55,211 INFO [train.py:885] (1/2) Epoch 16, batch 850, loss[loss=0.1869, simple_loss=0.2474, pruned_loss=0.06319, over 13274.00 frames. utt_duration=1611 frames, utt_pad_proportion=0.1102, over 33.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.3606, pruned_loss=0.1125, over 2740139.92 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07234, over 46639.02 utterances.], batch size: 33, lr: 2.96e-04
+2022-09-18 08:09:24,690 INFO [train.py:885] (1/2) Epoch 16, batch 900, loss[loss=0.242, simple_loss=0.2967, pruned_loss=0.09361, over 14073.00 frames. utt_duration=575.9 frames, utt_pad_proportion=0.05442, over 98.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3622, pruned_loss=0.114, over 2744319.31 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07186, over 46977.58 utterances.], batch size: 98, lr: 2.96e-04
+2022-09-18 08:09:54,383 INFO [train.py:885] (1/2) Epoch 16, batch 950, loss[loss=0.3202, simple_loss=0.3796, pruned_loss=0.1304, over 14227.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04267, over 306.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3617, pruned_loss=0.1134, over 2750702.55 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07298, over 46475.30 utterances.], batch size: 306, lr: 2.96e-04
+2022-09-18 08:10:23,722 INFO [train.py:885] (1/2) Epoch 16, batch 1000, loss[loss=0.224, simple_loss=0.2784, pruned_loss=0.08481, over 13950.00 frames. utt_duration=931.5 frames, utt_pad_proportion=0.0638, over 60.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.3637, pruned_loss=0.1147, over 2757731.05 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07395, over 47597.24 utterances.], batch size: 60, lr: 2.96e-04
+2022-09-18 08:10:53,680 INFO [train.py:885] (1/2) Epoch 16, batch 1050, loss[loss=0.3165, simple_loss=0.382, pruned_loss=0.1255, over 14355.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03329, over 244.00 utterances.], tot_loss[loss=0.2975, simple_loss=0.3648, pruned_loss=0.1151, over 2763773.91 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07309, over 47844.97 utterances.], batch size: 244, lr: 2.96e-04
+2022-09-18 08:11:22,695 INFO [train.py:885] (1/2) Epoch 16, batch 1100, loss[loss=0.3568, simple_loss=0.3974, pruned_loss=0.1581, over 14348.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03891, over 167.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3614, pruned_loss=0.113, over 2766327.05 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07109, over 47057.97 utterances.], batch size: 167, lr: 2.96e-04
+2022-09-18 08:11:52,507 INFO [train.py:885] (1/2) Epoch 16, batch 1150, loss[loss=0.5269, simple_loss=0.6116, pruned_loss=0.2211, over 12458.00 frames. utt_duration=63.03 frames, utt_pad_proportion=0.1483, over 810.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.364, pruned_loss=0.1146, over 2766251.33 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07333, over 48027.23 utterances.], batch size: 810, lr: 2.96e-04
+2022-09-18 08:12:22,063 INFO [train.py:885] (1/2) Epoch 16, batch 1200, loss[loss=0.4037, simple_loss=0.4411, pruned_loss=0.1831, over 14274.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04045, over 225.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3618, pruned_loss=0.1137, over 2774717.31 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07075, over 46882.48 utterances.], batch size: 225, lr: 2.96e-04
+2022-09-18 08:12:51,334 INFO [train.py:885] (1/2) Epoch 16, batch 1250, loss[loss=0.214, simple_loss=0.2905, pruned_loss=0.06873, over 14007.00 frames. utt_duration=710.4 frames, utt_pad_proportion=0.05658, over 79.00 utterances.], tot_loss[loss=0.292, simple_loss=0.36, pruned_loss=0.112, over 2779675.45 frames. utt_duration=241.6 frames, utt_pad_proportion=0.0687, over 46302.00 utterances.], batch size: 79, lr: 2.96e-04
+2022-09-18 08:13:21,140 INFO [train.py:885] (1/2) Epoch 16, batch 1300, loss[loss=0.3749, simple_loss=0.464, pruned_loss=0.1429, over 13221.00 frames. utt_duration=82.39 frames, utt_pad_proportion=0.1045, over 654.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3612, pruned_loss=0.1129, over 2776785.25 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07217, over 46982.30 utterances.], batch size: 654, lr: 2.96e-04
+2022-09-18 08:13:50,294 INFO [train.py:885] (1/2) Epoch 16, batch 1350, loss[loss=0.2098, simple_loss=0.2672, pruned_loss=0.07621, over 13507.00 frames. utt_duration=1319 frames, utt_pad_proportion=0.07732, over 41.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3605, pruned_loss=0.1123, over 2774011.13 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07398, over 47047.18 utterances.], batch size: 41, lr: 2.96e-04
+2022-09-18 08:14:19,962 INFO [train.py:885] (1/2) Epoch 16, batch 1400, loss[loss=0.2555, simple_loss=0.3274, pruned_loss=0.09178, over 14303.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.04184, over 141.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3573, pruned_loss=0.111, over 2771280.51 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07477, over 45816.93 utterances.], batch size: 141, lr: 2.96e-04
+2022-09-18 08:14:49,883 INFO [train.py:885] (1/2) Epoch 16, batch 1450, loss[loss=0.2871, simple_loss=0.3484, pruned_loss=0.1129, over 14323.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03946, over 154.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3587, pruned_loss=0.1115, over 2771532.23 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07694, over 46637.81 utterances.], batch size: 154, lr: 2.96e-04
+2022-09-18 08:15:18,860 INFO [train.py:885] (1/2) Epoch 16, batch 1500, loss[loss=0.1815, simple_loss=0.2441, pruned_loss=0.05946, over 13633.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.07755, over 50.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3572, pruned_loss=0.1106, over 2777198.14 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07303, over 45869.97 utterances.], batch size: 50, lr: 2.96e-04
+2022-09-18 08:15:48,169 INFO [train.py:885] (1/2) Epoch 16, batch 1550, loss[loss=0.3253, simple_loss=0.3884, pruned_loss=0.1311, over 14358.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03629, over 283.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3563, pruned_loss=0.1104, over 2779233.41 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07142, over 45308.78 utterances.], batch size: 283, lr: 2.96e-04
+2022-09-18 08:16:17,833 INFO [train.py:885] (1/2) Epoch 16, batch 1600, loss[loss=0.3259, simple_loss=0.4079, pruned_loss=0.122, over 13951.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05905, over 365.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3582, pruned_loss=0.1117, over 2773545.72 frames. utt_duration=240 frames, utt_pad_proportion=0.07312, over 46506.88 utterances.], batch size: 365, lr: 2.96e-04
+2022-09-18 08:16:47,737 INFO [train.py:885] (1/2) Epoch 16, batch 1650, loss[loss=0.2197, simple_loss=0.2781, pruned_loss=0.08067, over 12987.00 frames. utt_duration=1576 frames, utt_pad_proportion=0.1261, over 33.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3611, pruned_loss=0.1135, over 2771415.89 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07413, over 46969.29 utterances.], batch size: 33, lr: 2.96e-04
+2022-09-18 08:17:17,510 INFO [train.py:885] (1/2) Epoch 16, batch 1700, loss[loss=0.4257, simple_loss=0.4923, pruned_loss=0.1795, over 13602.00 frames. utt_duration=98.61 frames, utt_pad_proportion=0.07839, over 560.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3621, pruned_loss=0.1142, over 2771637.28 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07514, over 47744.20 utterances.], batch size: 560, lr: 2.96e-04
+2022-09-18 08:17:46,632 INFO [train.py:885] (1/2) Epoch 16, batch 1750, loss[loss=0.2353, simple_loss=0.3074, pruned_loss=0.08159, over 14094.00 frames. utt_duration=576.8 frames, utt_pad_proportion=0.05438, over 98.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3602, pruned_loss=0.1132, over 2771421.07 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07438, over 47096.04 utterances.], batch size: 98, lr: 2.96e-04
+2022-09-18 08:18:16,134 INFO [train.py:885] (1/2) Epoch 16, batch 1800, loss[loss=0.1858, simple_loss=0.2575, pruned_loss=0.05708, over 14091.00 frames. utt_duration=806.8 frames, utt_pad_proportion=0.05863, over 70.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3574, pruned_loss=0.1124, over 2776477.28 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07236, over 45480.95 utterances.], batch size: 70, lr: 2.96e-04
+2022-09-18 08:18:46,121 INFO [train.py:885] (1/2) Epoch 16, batch 1850, loss[loss=0.3591, simple_loss=0.4426, pruned_loss=0.1378, over 13699.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07687, over 477.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3576, pruned_loss=0.1122, over 2780661.08 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07062, over 45430.36 utterances.], batch size: 477, lr: 2.96e-04
+2022-09-18 08:19:15,932 INFO [train.py:885] (1/2) Epoch 16, batch 1900, loss[loss=0.1827, simple_loss=0.2554, pruned_loss=0.05498, over 13706.00 frames. utt_duration=915 frames, utt_pad_proportion=0.08035, over 60.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.358, pruned_loss=0.1123, over 2780832.21 frames. utt_duration=245.4 frames, utt_pad_proportion=0.0717, over 45603.40 utterances.], batch size: 60, lr: 2.96e-04
+2022-09-18 08:19:45,106 INFO [train.py:885] (1/2) Epoch 16, batch 1950, loss[loss=0.32, simple_loss=0.3891, pruned_loss=0.1255, over 14297.00 frames. utt_duration=294.9 frames, utt_pad_proportion=0.03936, over 195.00 utterances.], tot_loss[loss=0.2958, simple_loss=0.3622, pruned_loss=0.1146, over 2781069.75 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07313, over 47054.14 utterances.], batch size: 195, lr: 2.96e-04
+2022-09-18 08:20:14,930 INFO [train.py:885] (1/2) Epoch 16, batch 2000, loss[loss=0.2759, simple_loss=0.3582, pruned_loss=0.09687, over 14332.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03661, over 180.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3633, pruned_loss=0.1154, over 2773693.40 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07618, over 47750.47 utterances.], batch size: 180, lr: 2.96e-04
+2022-09-18 08:20:44,398 INFO [train.py:885] (1/2) Epoch 16, batch 2050, loss[loss=0.3461, simple_loss=0.397, pruned_loss=0.1476, over 14390.00 frames. utt_duration=275.4 frames, utt_pad_proportion=0.0336, over 210.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.3626, pruned_loss=0.1148, over 2776548.38 frames. utt_duration=237.4 frames, utt_pad_proportion=0.0767, over 47068.65 utterances.], batch size: 210, lr: 2.95e-04
+2022-09-18 08:21:13,525 INFO [train.py:885] (1/2) Epoch 16, batch 2100, loss[loss=0.2538, simple_loss=0.3087, pruned_loss=0.09945, over 14215.00 frames. utt_duration=640.6 frames, utt_pad_proportion=0.04533, over 89.00 utterances.], tot_loss[loss=0.2966, simple_loss=0.3628, pruned_loss=0.1152, over 2775306.12 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07638, over 47182.93 utterances.], batch size: 89, lr: 2.95e-04
+2022-09-18 08:21:43,200 INFO [train.py:885] (1/2) Epoch 16, batch 2150, loss[loss=0.1934, simple_loss=0.263, pruned_loss=0.06183, over 13508.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.09024, over 50.00 utterances.], tot_loss[loss=0.2982, simple_loss=0.3635, pruned_loss=0.1164, over 2771599.37 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07586, over 46401.27 utterances.], batch size: 50, lr: 2.95e-04
+2022-09-18 08:22:12,762 INFO [train.py:885] (1/2) Epoch 16, batch 2200, loss[loss=0.2691, simple_loss=0.3471, pruned_loss=0.0956, over 14345.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03885, over 167.00 utterances.], tot_loss[loss=0.2992, simple_loss=0.365, pruned_loss=0.1167, over 2772077.91 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07567, over 48185.43 utterances.], batch size: 167, lr: 2.95e-04
+2022-09-18 08:22:41,708 INFO [train.py:885] (1/2) Epoch 16, batch 2250, loss[loss=0.216, simple_loss=0.2858, pruned_loss=0.07309, over 13896.00 frames. utt_duration=807.1 frames, utt_pad_proportion=0.05931, over 69.00 utterances.], tot_loss[loss=0.2983, simple_loss=0.3642, pruned_loss=0.1162, over 2777421.74 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07354, over 47838.41 utterances.], batch size: 69, lr: 2.95e-04
+2022-09-18 08:23:11,802 INFO [train.py:885] (1/2) Epoch 16, batch 2300, loss[loss=0.192, simple_loss=0.2562, pruned_loss=0.06386, over 13692.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.07558, over 42.00 utterances.], tot_loss[loss=0.3007, simple_loss=0.3664, pruned_loss=0.1175, over 2770681.48 frames. utt_duration=226.5 frames, utt_pad_proportion=0.07684, over 49241.75 utterances.], batch size: 42, lr: 2.95e-04
+2022-09-18 08:23:41,083 INFO [train.py:885] (1/2) Epoch 16, batch 2350, loss[loss=0.2698, simple_loss=0.3404, pruned_loss=0.09956, over 14223.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04714, over 141.00 utterances.], tot_loss[loss=0.299, simple_loss=0.3654, pruned_loss=0.1163, over 2775777.78 frames. utt_duration=228.9 frames, utt_pad_proportion=0.07396, over 48821.38 utterances.], batch size: 141, lr: 2.95e-04
+2022-09-18 08:24:10,898 INFO [train.py:885] (1/2) Epoch 16, batch 2400, loss[loss=0.273, simple_loss=0.3343, pruned_loss=0.1059, over 14306.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.04012, over 130.00 utterances.], tot_loss[loss=0.2975, simple_loss=0.3644, pruned_loss=0.1153, over 2777403.18 frames. utt_duration=230.8 frames, utt_pad_proportion=0.0733, over 48451.85 utterances.], batch size: 130, lr: 2.95e-04
+2022-09-18 08:24:39,972 INFO [train.py:885] (1/2) Epoch 16, batch 2450, loss[loss=0.1784, simple_loss=0.2496, pruned_loss=0.05365, over 12787.00 frames. utt_duration=1969 frames, utt_pad_proportion=0.118, over 26.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3624, pruned_loss=0.1144, over 2777981.86 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07299, over 47085.76 utterances.], batch size: 26, lr: 2.95e-04
+2022-09-18 08:25:09,730 INFO [train.py:885] (1/2) Epoch 16, batch 2500, loss[loss=0.347, simple_loss=0.3884, pruned_loss=0.1529, over 14286.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03939, over 180.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3617, pruned_loss=0.1141, over 2776115.05 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07477, over 47058.90 utterances.], batch size: 180, lr: 2.95e-04
+2022-09-18 08:25:39,109 INFO [train.py:885] (1/2) Epoch 16, batch 2550, loss[loss=0.2513, simple_loss=0.3173, pruned_loss=0.09261, over 14162.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.0454, over 109.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3607, pruned_loss=0.1136, over 2779183.57 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07345, over 46267.72 utterances.], batch size: 109, lr: 2.95e-04
+2022-09-18 08:26:08,111 INFO [train.py:885] (1/2) Epoch 16, batch 2600, loss[loss=0.217, simple_loss=0.2719, pruned_loss=0.0811, over 12922.00 frames. utt_duration=2069 frames, utt_pad_proportion=0.1329, over 25.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3607, pruned_loss=0.114, over 2777129.45 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07419, over 46270.85 utterances.], batch size: 25, lr: 2.95e-04
+2022-09-18 08:26:37,781 INFO [train.py:885] (1/2) Epoch 16, batch 2650, loss[loss=0.2227, simple_loss=0.2857, pruned_loss=0.07982, over 14051.00 frames. utt_duration=574.8 frames, utt_pad_proportion=0.05613, over 98.00 utterances.], tot_loss[loss=0.2974, simple_loss=0.364, pruned_loss=0.1154, over 2776904.57 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07462, over 47604.91 utterances.], batch size: 98, lr: 2.95e-04
+2022-09-18 08:27:06,938 INFO [train.py:885] (1/2) Epoch 16, batch 2700, loss[loss=0.2681, simple_loss=0.3462, pruned_loss=0.09502, over 14361.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03347, over 244.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3651, pruned_loss=0.1155, over 2778602.27 frames. utt_duration=230.4 frames, utt_pad_proportion=0.07396, over 48550.17 utterances.], batch size: 244, lr: 2.95e-04
+2022-09-18 08:27:37,382 INFO [train.py:885] (1/2) Epoch 16, batch 2750, loss[loss=0.3261, simple_loss=0.3859, pruned_loss=0.1332, over 14317.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03879, over 283.00 utterances.], tot_loss[loss=0.2981, simple_loss=0.3653, pruned_loss=0.1155, over 2777515.77 frames. utt_duration=227.9 frames, utt_pad_proportion=0.07551, over 49062.00 utterances.], batch size: 283, lr: 2.95e-04
+2022-09-18 08:28:06,511 INFO [train.py:885] (1/2) Epoch 16, batch 2800, loss[loss=0.3333, simple_loss=0.4143, pruned_loss=0.1262, over 13773.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.0739, over 412.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3636, pruned_loss=0.1141, over 2776474.89 frames. utt_duration=229.8 frames, utt_pad_proportion=0.07553, over 48633.57 utterances.], batch size: 412, lr: 2.95e-04
+2022-09-18 08:28:37,010 INFO [train.py:885] (1/2) Epoch 16, batch 2850, loss[loss=0.3428, simple_loss=0.4012, pruned_loss=0.1422, over 14309.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03973, over 262.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3613, pruned_loss=0.1132, over 2776840.36 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07442, over 47640.91 utterances.], batch size: 262, lr: 2.95e-04
+2022-09-18 08:29:06,720 INFO [train.py:885] (1/2) Epoch 16, batch 2900, loss[loss=0.5559, simple_loss=0.6293, pruned_loss=0.2413, over 12555.00 frames. utt_duration=63.53 frames, utt_pad_proportion=0.1414, over 810.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3619, pruned_loss=0.1138, over 2776233.98 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07446, over 47805.19 utterances.], batch size: 810, lr: 2.95e-04
+2022-09-18 08:29:35,999 INFO [train.py:885] (1/2) Epoch 16, batch 2950, loss[loss=0.3447, simple_loss=0.3985, pruned_loss=0.1455, over 14328.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03814, over 283.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3586, pruned_loss=0.1124, over 2777128.72 frames. utt_duration=244 frames, utt_pad_proportion=0.0725, over 45806.17 utterances.], batch size: 283, lr: 2.95e-04
+2022-09-18 08:30:05,806 INFO [train.py:885] (1/2) Epoch 16, batch 3000, loss[loss=0.3242, simple_loss=0.3934, pruned_loss=0.1275, over 14371.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03602, over 244.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.359, pruned_loss=0.1128, over 2777786.31 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07234, over 45847.17 utterances.], batch size: 244, lr: 2.95e-04
+2022-09-18 08:30:05,807 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 08:30:09,967 INFO [train.py:914] (1/2) Epoch 16, validation: loss=0.195, simple_loss=0.2753, pruned_loss=0.05737, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 08:30:39,357 INFO [train.py:885] (1/2) Epoch 16, batch 3050, loss[loss=0.1972, simple_loss=0.2643, pruned_loss=0.065, over 13917.00 frames. utt_duration=808.2 frames, utt_pad_proportion=0.05799, over 69.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3551, pruned_loss=0.1114, over 2777710.80 frames. utt_duration=251 frames, utt_pad_proportion=0.07087, over 44530.52 utterances.], batch size: 69, lr: 2.95e-04
+2022-09-18 08:31:09,793 INFO [train.py:885] (1/2) Epoch 16, batch 3100, loss[loss=0.1513, simple_loss=0.2142, pruned_loss=0.04423, over 13254.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.1008, over 33.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3556, pruned_loss=0.1116, over 2777265.06 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07226, over 44807.30 utterances.], batch size: 33, lr: 2.95e-04
+2022-09-18 08:31:39,882 INFO [train.py:885] (1/2) Epoch 16, batch 3150, loss[loss=0.4336, simple_loss=0.4636, pruned_loss=0.2018, over 14240.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04167, over 306.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3556, pruned_loss=0.1114, over 2778970.49 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07317, over 45035.58 utterances.], batch size: 306, lr: 2.95e-04
+2022-09-18 08:32:09,140 INFO [train.py:885] (1/2) Epoch 16, batch 3200, loss[loss=0.3654, simple_loss=0.4173, pruned_loss=0.1568, over 14233.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04276, over 335.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3517, pruned_loss=0.109, over 2780774.89 frames. utt_duration=255.3 frames, utt_pad_proportion=0.07034, over 43827.69 utterances.], batch size: 335, lr: 2.95e-04
+2022-09-18 08:32:38,358 INFO [train.py:885] (1/2) Epoch 16, batch 3250, loss[loss=0.2542, simple_loss=0.321, pruned_loss=0.09375, over 14202.00 frames. utt_duration=522.6 frames, utt_pad_proportion=0.04286, over 109.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3504, pruned_loss=0.109, over 2784219.10 frames. utt_duration=261.8 frames, utt_pad_proportion=0.06962, over 42788.21 utterances.], batch size: 109, lr: 2.95e-04
+2022-09-18 08:33:07,567 INFO [train.py:885] (1/2) Epoch 16, batch 3300, loss[loss=0.3783, simple_loss=0.4761, pruned_loss=0.1402, over 13164.00 frames. utt_duration=82.15 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3559, pruned_loss=0.112, over 2782499.12 frames. utt_duration=248 frames, utt_pad_proportion=0.07191, over 45140.52 utterances.], batch size: 653, lr: 2.95e-04
+2022-09-18 08:33:37,396 INFO [train.py:885] (1/2) Epoch 16, batch 3350, loss[loss=0.3258, simple_loss=0.424, pruned_loss=0.1138, over 13572.00 frames. utt_duration=98.37 frames, utt_pad_proportion=0.08062, over 560.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3592, pruned_loss=0.1136, over 2780146.37 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07332, over 46769.33 utterances.], batch size: 560, lr: 2.94e-04
+2022-09-18 08:34:05,988 INFO [train.py:885] (1/2) Epoch 16, batch 3400, loss[loss=0.2543, simple_loss=0.3301, pruned_loss=0.08931, over 14287.00 frames. utt_duration=477.8 frames, utt_pad_proportion=0.04066, over 120.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3606, pruned_loss=0.1139, over 2781143.94 frames. utt_duration=237.9 frames, utt_pad_proportion=0.0723, over 47046.85 utterances.], batch size: 120, lr: 2.94e-04
+2022-09-18 08:34:35,356 INFO [train.py:885] (1/2) Epoch 16, batch 3450, loss[loss=0.2667, simple_loss=0.3383, pruned_loss=0.0975, over 14334.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.03643, over 154.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3594, pruned_loss=0.1135, over 2783476.69 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07241, over 46161.50 utterances.], batch size: 154, lr: 2.94e-04
+2022-09-18 08:35:04,267 INFO [train.py:885] (1/2) Epoch 16, batch 3500, loss[loss=0.2794, simple_loss=0.3428, pruned_loss=0.108, over 14344.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.03521, over 130.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3542, pruned_loss=0.1105, over 2787160.04 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06984, over 43737.49 utterances.], batch size: 130, lr: 2.94e-04
+2022-09-18 08:35:34,131 INFO [train.py:885] (1/2) Epoch 16, batch 3550, loss[loss=0.5565, simple_loss=0.6027, pruned_loss=0.2552, over 13188.00 frames. utt_duration=82.27 frames, utt_pad_proportion=0.1058, over 653.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3585, pruned_loss=0.1135, over 2783912.79 frames. utt_duration=249.9 frames, utt_pad_proportion=0.0717, over 44833.45 utterances.], batch size: 653, lr: 2.94e-04
+2022-09-18 08:36:04,266 INFO [train.py:885] (1/2) Epoch 16, batch 3600, loss[loss=0.2544, simple_loss=0.3272, pruned_loss=0.09082, over 14334.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03787, over 120.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3616, pruned_loss=0.1152, over 2785210.62 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07351, over 46188.91 utterances.], batch size: 120, lr: 2.94e-04
+2022-09-18 08:36:33,981 INFO [train.py:885] (1/2) Epoch 16, batch 3650, loss[loss=0.3453, simple_loss=0.4117, pruned_loss=0.1395, over 14236.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04232, over 306.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3588, pruned_loss=0.1141, over 2784459.96 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07091, over 45041.45 utterances.], batch size: 306, lr: 2.94e-04
+2022-09-18 08:37:03,517 INFO [train.py:885] (1/2) Epoch 16, batch 3700, loss[loss=0.3034, simple_loss=0.3787, pruned_loss=0.1141, over 14342.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03965, over 167.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3599, pruned_loss=0.1137, over 2785923.98 frames. utt_duration=241.8 frames, utt_pad_proportion=0.0716, over 46363.52 utterances.], batch size: 167, lr: 2.94e-04
+2022-09-18 08:37:32,538 INFO [train.py:885] (1/2) Epoch 16, batch 3750, loss[loss=0.2879, simple_loss=0.3447, pruned_loss=0.1155, over 14290.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.03888, over 130.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3571, pruned_loss=0.1127, over 2789604.20 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06956, over 44596.24 utterances.], batch size: 130, lr: 2.94e-04
+2022-09-18 08:38:01,952 INFO [train.py:885] (1/2) Epoch 16, batch 3800, loss[loss=0.1616, simple_loss=0.2286, pruned_loss=0.04733, over 13373.00 frames. utt_duration=1622 frames, utt_pad_proportion=0.09569, over 33.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3581, pruned_loss=0.1126, over 2784895.35 frames. utt_duration=246.8 frames, utt_pad_proportion=0.0716, over 45408.23 utterances.], batch size: 33, lr: 2.94e-04
+2022-09-18 08:38:31,662 INFO [train.py:885] (1/2) Epoch 16, batch 3850, loss[loss=0.3697, simple_loss=0.4571, pruned_loss=0.1412, over 13634.00 frames. utt_duration=98.83 frames, utt_pad_proportion=0.0764, over 560.00 utterances.], tot_loss[loss=0.292, simple_loss=0.3583, pruned_loss=0.1128, over 2782063.13 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07047, over 45618.51 utterances.], batch size: 560, lr: 2.94e-04
+2022-09-18 08:39:00,556 INFO [train.py:885] (1/2) Epoch 16, batch 3900, loss[loss=0.3022, simple_loss=0.3574, pruned_loss=0.1235, over 14256.00 frames. utt_duration=440.2 frames, utt_pad_proportion=0.04091, over 130.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3529, pruned_loss=0.1104, over 2786171.77 frames. utt_duration=260.9 frames, utt_pad_proportion=0.06845, over 42966.37 utterances.], batch size: 130, lr: 2.94e-04
+2022-09-18 08:39:30,054 INFO [train.py:885] (1/2) Epoch 16, batch 3950, loss[loss=0.3153, simple_loss=0.3764, pruned_loss=0.1272, over 14329.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03889, over 283.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3539, pruned_loss=0.1104, over 2786561.89 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06879, over 43542.96 utterances.], batch size: 283, lr: 2.94e-04
+2022-09-18 08:39:59,803 INFO [train.py:885] (1/2) Epoch 16, batch 4000, loss[loss=0.2525, simple_loss=0.3023, pruned_loss=0.1014, over 14128.00 frames. utt_duration=578.3 frames, utt_pad_proportion=0.05043, over 98.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3485, pruned_loss=0.108, over 2780663.60 frames. utt_duration=265 frames, utt_pad_proportion=0.06826, over 42202.80 utterances.], batch size: 98, lr: 2.94e-04
+2022-09-18 08:40:28,920 INFO [train.py:885] (1/2) Epoch 16, batch 4050, loss[loss=0.2573, simple_loss=0.3181, pruned_loss=0.09831, over 14156.00 frames. utt_duration=637.6 frames, utt_pad_proportion=0.04843, over 89.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3506, pruned_loss=0.1093, over 2782285.72 frames. utt_duration=265.5 frames, utt_pad_proportion=0.06751, over 42153.93 utterances.], batch size: 89, lr: 2.94e-04
+2022-09-18 08:40:58,411 INFO [train.py:885] (1/2) Epoch 16, batch 4100, loss[loss=0.5636, simple_loss=0.5506, pruned_loss=0.2883, over 14190.00 frames. utt_duration=170.8 frames, utt_pad_proportion=0.04608, over 335.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3526, pruned_loss=0.1099, over 2782952.50 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06752, over 43153.71 utterances.], batch size: 335, lr: 2.94e-04
+2022-09-18 08:41:28,346 INFO [train.py:885] (1/2) Epoch 16, batch 4150, loss[loss=0.1741, simple_loss=0.2377, pruned_loss=0.05524, over 13031.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.109, over 33.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3537, pruned_loss=0.1099, over 2782398.41 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06886, over 43940.11 utterances.], batch size: 33, lr: 2.94e-04
+2022-09-18 08:41:57,995 INFO [train.py:885] (1/2) Epoch 16, batch 4200, loss[loss=0.2582, simple_loss=0.3235, pruned_loss=0.09644, over 14269.00 frames. utt_duration=477.2 frames, utt_pad_proportion=0.04375, over 120.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3558, pruned_loss=0.1114, over 2779550.95 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07195, over 45347.15 utterances.], batch size: 120, lr: 2.94e-04
+2022-09-18 08:42:27,995 INFO [train.py:885] (1/2) Epoch 16, batch 4250, loss[loss=0.3012, simple_loss=0.3587, pruned_loss=0.1219, over 14344.00 frames. utt_duration=374 frames, utt_pad_proportion=0.03849, over 154.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3565, pruned_loss=0.1114, over 2781187.60 frames. utt_duration=246.1 frames, utt_pad_proportion=0.0715, over 45470.39 utterances.], batch size: 154, lr: 2.94e-04
+2022-09-18 08:42:56,695 INFO [train.py:885] (1/2) Epoch 16, batch 4300, loss[loss=0.2793, simple_loss=0.3496, pruned_loss=0.1045, over 14252.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04544, over 141.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.3599, pruned_loss=0.1128, over 2782403.72 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07186, over 46626.52 utterances.], batch size: 141, lr: 2.94e-04
+2022-09-18 08:43:26,323 INFO [train.py:885] (1/2) Epoch 16, batch 4350, loss[loss=0.3465, simple_loss=0.4225, pruned_loss=0.1352, over 13989.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.057, over 365.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3567, pruned_loss=0.1114, over 2779016.37 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07072, over 45564.16 utterances.], batch size: 365, lr: 2.94e-04
+2022-09-18 08:43:55,647 INFO [train.py:885] (1/2) Epoch 16, batch 4400, loss[loss=0.2854, simple_loss=0.354, pruned_loss=0.1084, over 14353.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03871, over 167.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3548, pruned_loss=0.1101, over 2773640.27 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07221, over 44976.08 utterances.], batch size: 167, lr: 2.94e-04
+2022-09-18 08:44:25,117 INFO [train.py:885] (1/2) Epoch 16, batch 4450, loss[loss=0.3362, simple_loss=0.4341, pruned_loss=0.1191, over 13630.00 frames. utt_duration=98.74 frames, utt_pad_proportion=0.07717, over 560.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3553, pruned_loss=0.1099, over 2776072.28 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07213, over 45345.50 utterances.], batch size: 560, lr: 2.94e-04
+2022-09-18 08:44:54,835 INFO [train.py:885] (1/2) Epoch 16, batch 4500, loss[loss=0.4498, simple_loss=0.5542, pruned_loss=0.1727, over 12534.00 frames. utt_duration=63.51 frames, utt_pad_proportion=0.1418, over 810.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3574, pruned_loss=0.111, over 2780863.46 frames. utt_duration=242.3 frames, utt_pad_proportion=0.071, over 46186.98 utterances.], batch size: 810, lr: 2.94e-04
+2022-09-18 08:45:23,993 INFO [train.py:885] (1/2) Epoch 16, batch 4550, loss[loss=0.2267, simple_loss=0.3012, pruned_loss=0.07608, over 14174.00 frames. utt_duration=638.7 frames, utt_pad_proportion=0.04821, over 89.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3577, pruned_loss=0.1111, over 2782973.45 frames. utt_duration=244.2 frames, utt_pad_proportion=0.06963, over 45863.01 utterances.], batch size: 89, lr: 2.94e-04
+2022-09-18 08:45:53,988 INFO [train.py:885] (1/2) Epoch 16, batch 4600, loss[loss=0.2827, simple_loss=0.3582, pruned_loss=0.1036, over 14339.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03724, over 210.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3573, pruned_loss=0.1117, over 2777984.38 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07032, over 45665.60 utterances.], batch size: 210, lr: 2.94e-04
+2022-09-18 08:46:23,273 INFO [train.py:885] (1/2) Epoch 16, batch 4650, loss[loss=0.3021, simple_loss=0.3726, pruned_loss=0.1159, over 14304.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04065, over 262.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3573, pruned_loss=0.112, over 2780197.25 frames. utt_duration=248.6 frames, utt_pad_proportion=0.0717, over 45001.42 utterances.], batch size: 262, lr: 2.93e-04
+2022-09-18 08:46:52,374 INFO [train.py:885] (1/2) Epoch 16, batch 4700, loss[loss=0.2853, simple_loss=0.3467, pruned_loss=0.1119, over 14148.00 frames. utt_duration=520.5 frames, utt_pad_proportion=0.04663, over 109.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3564, pruned_loss=0.1116, over 2775524.81 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07128, over 44892.11 utterances.], batch size: 109, lr: 2.93e-04
+2022-09-18 08:47:22,113 INFO [train.py:885] (1/2) Epoch 16, batch 4750, loss[loss=0.2622, simple_loss=0.3344, pruned_loss=0.09499, over 14264.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.04084, over 130.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3611, pruned_loss=0.114, over 2775149.32 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07425, over 46856.55 utterances.], batch size: 130, lr: 2.93e-04
+2022-09-18 08:47:51,909 INFO [train.py:885] (1/2) Epoch 16, batch 4800, loss[loss=0.3563, simple_loss=0.4116, pruned_loss=0.1505, over 14204.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04436, over 335.00 utterances.], tot_loss[loss=0.2982, simple_loss=0.3648, pruned_loss=0.1158, over 2774360.47 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07717, over 48125.07 utterances.], batch size: 335, lr: 2.93e-04
+2022-09-18 08:48:22,477 INFO [train.py:885] (1/2) Epoch 16, batch 4850, loss[loss=0.384, simple_loss=0.4595, pruned_loss=0.1542, over 13610.00 frames. utt_duration=98.58 frames, utt_pad_proportion=0.07865, over 560.00 utterances.], tot_loss[loss=0.2996, simple_loss=0.3657, pruned_loss=0.1168, over 2771832.19 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07489, over 48018.30 utterances.], batch size: 560, lr: 2.93e-04
+2022-09-18 08:48:51,177 INFO [train.py:885] (1/2) Epoch 16, batch 4900, loss[loss=0.3017, simple_loss=0.3708, pruned_loss=0.1163, over 14306.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.03951, over 226.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3597, pruned_loss=0.1135, over 2769167.64 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07393, over 46107.11 utterances.], batch size: 226, lr: 2.93e-04
+2022-09-18 08:49:20,265 INFO [train.py:885] (1/2) Epoch 16, batch 4950, loss[loss=0.1889, simple_loss=0.251, pruned_loss=0.06342, over 12921.00 frames. utt_duration=2068 frames, utt_pad_proportion=0.1176, over 25.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3572, pruned_loss=0.1123, over 2771827.90 frames. utt_duration=249 frames, utt_pad_proportion=0.07196, over 44798.18 utterances.], batch size: 25, lr: 2.93e-04
+2022-09-18 08:49:49,889 INFO [train.py:885] (1/2) Epoch 16, batch 5000, loss[loss=0.278, simple_loss=0.3612, pruned_loss=0.09737, over 14254.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04185, over 225.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3585, pruned_loss=0.1128, over 2773354.27 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07252, over 45252.88 utterances.], batch size: 225, lr: 2.93e-04
+2022-09-18 08:50:19,606 INFO [train.py:885] (1/2) Epoch 16, batch 5050, loss[loss=0.2076, simple_loss=0.2793, pruned_loss=0.06794, over 13870.00 frames. utt_duration=926.4 frames, utt_pad_proportion=0.06898, over 60.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3583, pruned_loss=0.1124, over 2775045.88 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07234, over 45432.61 utterances.], batch size: 60, lr: 2.93e-04
+2022-09-18 08:50:56,530 INFO [train.py:885] (1/2) Epoch 16, batch 5100, loss[loss=0.2809, simple_loss=0.3781, pruned_loss=0.09181, over 13991.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05663, over 365.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3582, pruned_loss=0.1122, over 2780691.27 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07053, over 44991.04 utterances.], batch size: 365, lr: 2.93e-04
+2022-09-18 08:51:26,486 INFO [train.py:885] (1/2) Epoch 16, batch 5150, loss[loss=0.1806, simple_loss=0.2378, pruned_loss=0.06174, over 13735.00 frames. utt_duration=1100 frames, utt_pad_proportion=0.07234, over 50.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3601, pruned_loss=0.1131, over 2780067.80 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07112, over 45794.06 utterances.], batch size: 50, lr: 2.93e-04
+2022-09-18 08:51:55,278 INFO [train.py:885] (1/2) Epoch 16, batch 5200, loss[loss=0.389, simple_loss=0.4309, pruned_loss=0.1736, over 14221.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04377, over 306.00 utterances.], tot_loss[loss=0.2946, simple_loss=0.3615, pruned_loss=0.1139, over 2782899.28 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07033, over 46737.28 utterances.], batch size: 306, lr: 2.93e-04
+2022-09-18 08:52:25,161 INFO [train.py:885] (1/2) Epoch 16, batch 5250, loss[loss=0.2392, simple_loss=0.3037, pruned_loss=0.0873, over 14073.00 frames. utt_duration=576 frames, utt_pad_proportion=0.0558, over 98.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3622, pruned_loss=0.1148, over 2785305.69 frames. utt_duration=239 frames, utt_pad_proportion=0.07019, over 46909.47 utterances.], batch size: 98, lr: 2.93e-04
+2022-09-18 08:52:54,723 INFO [train.py:885] (1/2) Epoch 16, batch 5300, loss[loss=0.2648, simple_loss=0.33, pruned_loss=0.09979, over 14229.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04704, over 141.00 utterances.], tot_loss[loss=0.296, simple_loss=0.3622, pruned_loss=0.115, over 2785353.33 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07142, over 46810.41 utterances.], batch size: 141, lr: 2.93e-04
+2022-09-18 08:53:24,217 INFO [train.py:885] (1/2) Epoch 16, batch 5350, loss[loss=0.3439, simple_loss=0.4014, pruned_loss=0.1431, over 14241.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04247, over 335.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3611, pruned_loss=0.1139, over 2781515.27 frames. utt_duration=237 frames, utt_pad_proportion=0.07302, over 47235.02 utterances.], batch size: 335, lr: 2.93e-04
+2022-09-18 08:53:53,863 INFO [train.py:885] (1/2) Epoch 16, batch 5400, loss[loss=0.344, simple_loss=0.4056, pruned_loss=0.1412, over 14218.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04333, over 306.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.36, pruned_loss=0.1125, over 2778609.47 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07431, over 47877.55 utterances.], batch size: 306, lr: 2.93e-04
+2022-09-18 08:54:22,879 INFO [train.py:885] (1/2) Epoch 16, batch 5450, loss[loss=0.3592, simple_loss=0.4305, pruned_loss=0.144, over 13719.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07498, over 411.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.3596, pruned_loss=0.1133, over 2784375.02 frames. utt_duration=240 frames, utt_pad_proportion=0.07146, over 46699.62 utterances.], batch size: 411, lr: 2.93e-04
+2022-09-18 08:54:52,565 INFO [train.py:885] (1/2) Epoch 16, batch 5500, loss[loss=0.2127, simple_loss=0.2904, pruned_loss=0.06747, over 14003.00 frames. utt_duration=710.5 frames, utt_pad_proportion=0.05895, over 79.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3602, pruned_loss=0.1136, over 2782575.74 frames. utt_duration=236.8 frames, utt_pad_proportion=0.0727, over 47297.05 utterances.], batch size: 79, lr: 2.93e-04
+2022-09-18 08:55:21,732 INFO [train.py:885] (1/2) Epoch 16, batch 5550, loss[loss=0.2692, simple_loss=0.3291, pruned_loss=0.1046, over 14188.00 frames. utt_duration=639.2 frames, utt_pad_proportion=0.04598, over 89.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3567, pruned_loss=0.1115, over 2784686.27 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07126, over 45474.70 utterances.], batch size: 89, lr: 2.93e-04
+2022-09-18 08:55:51,739 INFO [train.py:885] (1/2) Epoch 16, batch 5600, loss[loss=0.5402, simple_loss=0.6158, pruned_loss=0.2323, over 12604.00 frames. utt_duration=63.79 frames, utt_pad_proportion=0.138, over 810.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3601, pruned_loss=0.1125, over 2783587.26 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07351, over 47026.50 utterances.], batch size: 810, lr: 2.93e-04
+2022-09-18 08:56:21,241 INFO [train.py:885] (1/2) Epoch 16, batch 5650, loss[loss=0.2829, simple_loss=0.3501, pruned_loss=0.1079, over 14356.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03831, over 167.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.357, pruned_loss=0.1114, over 2784604.36 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07192, over 45699.94 utterances.], batch size: 167, lr: 2.93e-04
+2022-09-18 08:56:50,292 INFO [train.py:885] (1/2) Epoch 16, batch 5700, loss[loss=0.3747, simple_loss=0.4223, pruned_loss=0.1635, over 14268.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04077, over 335.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3559, pruned_loss=0.1111, over 2781475.46 frames. utt_duration=249 frames, utt_pad_proportion=0.0716, over 44944.57 utterances.], batch size: 335, lr: 2.93e-04
+2022-09-18 08:57:27,224 INFO [train.py:885] (1/2) Epoch 16, batch 5750, loss[loss=0.4134, simple_loss=0.4443, pruned_loss=0.1912, over 14209.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0443, over 306.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3529, pruned_loss=0.1094, over 2782102.80 frames. utt_duration=256.5 frames, utt_pad_proportion=0.07023, over 43631.93 utterances.], batch size: 306, lr: 2.93e-04
+2022-09-18 08:57:56,853 INFO [train.py:885] (1/2) Epoch 16, batch 5800, loss[loss=0.316, simple_loss=0.3807, pruned_loss=0.1256, over 14317.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03927, over 262.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3578, pruned_loss=0.112, over 2785317.91 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06939, over 45101.23 utterances.], batch size: 262, lr: 2.93e-04
+2022-09-18 08:58:26,402 INFO [train.py:885] (1/2) Epoch 16, batch 5850, loss[loss=0.4043, simple_loss=0.4454, pruned_loss=0.1816, over 14313.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.0393, over 283.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3553, pruned_loss=0.1111, over 2782233.51 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06853, over 44226.31 utterances.], batch size: 283, lr: 2.93e-04
+2022-09-18 08:58:56,029 INFO [train.py:885] (1/2) Epoch 16, batch 5900, loss[loss=0.2432, simple_loss=0.3247, pruned_loss=0.08089, over 14316.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04092, over 167.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.3593, pruned_loss=0.1131, over 2783376.43 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06876, over 45646.23 utterances.], batch size: 167, lr: 2.93e-04
+2022-09-18 08:59:25,516 INFO [train.py:885] (1/2) Epoch 16, batch 5950, loss[loss=0.2545, simple_loss=0.323, pruned_loss=0.09302, over 14261.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04492, over 141.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3576, pruned_loss=0.1122, over 2782087.50 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06906, over 44731.24 utterances.], batch size: 141, lr: 2.93e-04
+2022-09-18 08:59:55,040 INFO [train.py:885] (1/2) Epoch 16, batch 6000, loss[loss=0.22, simple_loss=0.2917, pruned_loss=0.07421, over 13738.00 frames. utt_duration=917.4 frames, utt_pad_proportion=0.07801, over 60.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3576, pruned_loss=0.1125, over 2781579.24 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06896, over 44448.67 utterances.], batch size: 60, lr: 2.92e-04
+2022-09-18 08:59:55,041 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 08:59:59,216 INFO [train.py:914] (1/2) Epoch 16, validation: loss=0.196, simple_loss=0.2737, pruned_loss=0.05915, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 09:00:29,394 INFO [train.py:885] (1/2) Epoch 16, batch 6050, loss[loss=0.171, simple_loss=0.2427, pruned_loss=0.04959, over 13340.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08886, over 41.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3605, pruned_loss=0.1133, over 2777636.20 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07323, over 46630.01 utterances.], batch size: 41, lr: 2.92e-04
+2022-09-18 09:00:58,689 INFO [train.py:885] (1/2) Epoch 16, batch 6100, loss[loss=0.3629, simple_loss=0.4312, pruned_loss=0.1473, over 13998.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05583, over 365.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3612, pruned_loss=0.1135, over 2784857.51 frames. utt_duration=240 frames, utt_pad_proportion=0.07085, over 46695.37 utterances.], batch size: 365, lr: 2.92e-04
+2022-09-18 09:01:28,194 INFO [train.py:885] (1/2) Epoch 16, batch 6150, loss[loss=0.192, simple_loss=0.2697, pruned_loss=0.05722, over 13787.00 frames. utt_duration=920.6 frames, utt_pad_proportion=0.07101, over 60.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3611, pruned_loss=0.1132, over 2785639.84 frames. utt_duration=242.1 frames, utt_pad_proportion=0.06859, over 46312.58 utterances.], batch size: 60, lr: 2.92e-04
+2022-09-18 09:01:58,193 INFO [train.py:885] (1/2) Epoch 16, batch 6200, loss[loss=0.3824, simple_loss=0.4537, pruned_loss=0.1555, over 13825.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06851, over 411.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3572, pruned_loss=0.1117, over 2779290.15 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07031, over 45446.16 utterances.], batch size: 411, lr: 2.92e-04
+2022-09-18 09:02:27,240 INFO [train.py:885] (1/2) Epoch 16, batch 6250, loss[loss=0.3535, simple_loss=0.4443, pruned_loss=0.1313, over 13614.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.07739, over 560.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3574, pruned_loss=0.1116, over 2782199.03 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07065, over 44535.58 utterances.], batch size: 560, lr: 2.92e-04
+2022-09-18 09:02:56,931 INFO [train.py:885] (1/2) Epoch 16, batch 6300, loss[loss=0.2832, simple_loss=0.3612, pruned_loss=0.1026, over 14320.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03809, over 195.00 utterances.], tot_loss[loss=0.2963, simple_loss=0.363, pruned_loss=0.1148, over 2782100.59 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07209, over 46983.71 utterances.], batch size: 195, lr: 2.92e-04
+2022-09-18 09:03:26,220 INFO [train.py:885] (1/2) Epoch 16, batch 6350, loss[loss=0.2347, simple_loss=0.3201, pruned_loss=0.07466, over 14302.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.03881, over 154.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3638, pruned_loss=0.115, over 2780408.34 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07283, over 47695.83 utterances.], batch size: 154, lr: 2.92e-04
+2022-09-18 09:03:56,520 INFO [train.py:885] (1/2) Epoch 16, batch 6400, loss[loss=0.4001, simple_loss=0.4552, pruned_loss=0.1724, over 13996.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05628, over 365.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.365, pruned_loss=0.1153, over 2782635.27 frames. utt_duration=232.7 frames, utt_pad_proportion=0.072, over 48144.80 utterances.], batch size: 365, lr: 2.92e-04
+2022-09-18 09:04:25,702 INFO [train.py:885] (1/2) Epoch 16, batch 6450, loss[loss=0.2696, simple_loss=0.3454, pruned_loss=0.09694, over 14346.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03661, over 210.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3654, pruned_loss=0.1157, over 2786534.71 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07054, over 48061.84 utterances.], batch size: 210, lr: 2.92e-04
+2022-09-18 09:04:55,290 INFO [train.py:885] (1/2) Epoch 16, batch 6500, loss[loss=0.1831, simple_loss=0.2435, pruned_loss=0.06141, over 13620.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.07998, over 50.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3643, pruned_loss=0.1147, over 2780567.36 frames. utt_duration=230 frames, utt_pad_proportion=0.07262, over 48664.45 utterances.], batch size: 50, lr: 2.92e-04
+2022-09-18 09:05:24,432 INFO [train.py:885] (1/2) Epoch 16, batch 6550, loss[loss=0.2395, simple_loss=0.2861, pruned_loss=0.09649, over 14074.00 frames. utt_duration=805.7 frames, utt_pad_proportion=0.05983, over 70.00 utterances.], tot_loss[loss=0.2999, simple_loss=0.3668, pruned_loss=0.1165, over 2783566.32 frames. utt_duration=227.8 frames, utt_pad_proportion=0.07237, over 49188.82 utterances.], batch size: 70, lr: 2.92e-04
+2022-09-18 09:05:54,070 INFO [train.py:885] (1/2) Epoch 16, batch 6600, loss[loss=0.3105, simple_loss=0.3942, pruned_loss=0.1134, over 13744.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07348, over 411.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.364, pruned_loss=0.1145, over 2783661.28 frames. utt_duration=229.7 frames, utt_pad_proportion=0.07176, over 48779.43 utterances.], batch size: 411, lr: 2.92e-04
+2022-09-18 09:06:23,851 INFO [train.py:885] (1/2) Epoch 16, batch 6650, loss[loss=0.326, simple_loss=0.4239, pruned_loss=0.114, over 13613.00 frames. utt_duration=98.62 frames, utt_pad_proportion=0.07829, over 560.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.3635, pruned_loss=0.1143, over 2782373.09 frames. utt_duration=232 frames, utt_pad_proportion=0.07241, over 48277.77 utterances.], batch size: 560, lr: 2.92e-04
+2022-09-18 09:06:53,652 INFO [train.py:885] (1/2) Epoch 16, batch 6700, loss[loss=0.2123, simple_loss=0.2801, pruned_loss=0.07223, over 14172.00 frames. utt_duration=638.5 frames, utt_pad_proportion=0.04838, over 89.00 utterances.], tot_loss[loss=0.2975, simple_loss=0.3651, pruned_loss=0.115, over 2783624.74 frames. utt_duration=228.6 frames, utt_pad_proportion=0.07208, over 49025.52 utterances.], batch size: 89, lr: 2.92e-04
+2022-09-18 09:07:23,519 INFO [train.py:885] (1/2) Epoch 16, batch 6750, loss[loss=0.3153, simple_loss=0.3953, pruned_loss=0.1176, over 13992.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05625, over 365.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3638, pruned_loss=0.114, over 2783658.71 frames. utt_duration=233 frames, utt_pad_proportion=0.07218, over 48084.22 utterances.], batch size: 365, lr: 2.92e-04
+2022-09-18 09:07:53,562 INFO [train.py:885] (1/2) Epoch 16, batch 6800, loss[loss=0.2468, simple_loss=0.317, pruned_loss=0.08833, over 14146.00 frames. utt_duration=637.2 frames, utt_pad_proportion=0.05039, over 89.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.359, pruned_loss=0.1114, over 2786019.79 frames. utt_duration=242.1 frames, utt_pad_proportion=0.06959, over 46307.26 utterances.], batch size: 89, lr: 2.92e-04
+2022-09-18 09:08:23,542 INFO [train.py:885] (1/2) Epoch 16, batch 6850, loss[loss=0.3091, simple_loss=0.3811, pruned_loss=0.1186, over 14333.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03719, over 210.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.3625, pruned_loss=0.1132, over 2781868.66 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07313, over 48214.93 utterances.], batch size: 210, lr: 2.92e-04
+2022-09-18 09:08:52,665 INFO [train.py:885] (1/2) Epoch 16, batch 6900, loss[loss=0.2501, simple_loss=0.3102, pruned_loss=0.09499, over 14142.00 frames. utt_duration=717.4 frames, utt_pad_proportion=0.0511, over 79.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3578, pruned_loss=0.1111, over 2783472.88 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07224, over 45988.13 utterances.], batch size: 79, lr: 2.92e-04
+2022-09-18 09:09:22,547 INFO [train.py:885] (1/2) Epoch 16, batch 6950, loss[loss=0.1688, simple_loss=0.2318, pruned_loss=0.0529, over 13006.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.1227, over 33.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3559, pruned_loss=0.1099, over 2778184.07 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07141, over 45379.96 utterances.], batch size: 33, lr: 2.92e-04
+2022-09-18 09:09:52,047 INFO [train.py:885] (1/2) Epoch 16, batch 7000, loss[loss=0.1599, simple_loss=0.2301, pruned_loss=0.04488, over 13267.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.09499, over 41.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3532, pruned_loss=0.1082, over 2777549.85 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07089, over 44468.09 utterances.], batch size: 41, lr: 2.92e-04
+2022-09-18 09:10:20,978 INFO [train.py:885] (1/2) Epoch 16, batch 7050, loss[loss=0.2929, simple_loss=0.3637, pruned_loss=0.1111, over 14377.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03716, over 167.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3518, pruned_loss=0.1084, over 2783080.26 frames. utt_duration=258.9 frames, utt_pad_proportion=0.06777, over 43246.99 utterances.], batch size: 167, lr: 2.92e-04
+2022-09-18 09:10:50,151 INFO [train.py:885] (1/2) Epoch 16, batch 7100, loss[loss=0.2963, simple_loss=0.3931, pruned_loss=0.09976, over 13770.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07244, over 411.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3502, pruned_loss=0.1079, over 2780568.30 frames. utt_duration=263 frames, utt_pad_proportion=0.06697, over 42525.74 utterances.], batch size: 411, lr: 2.92e-04
+2022-09-18 09:11:20,163 INFO [train.py:885] (1/2) Epoch 16, batch 7150, loss[loss=0.5335, simple_loss=0.6137, pruned_loss=0.2266, over 12487.00 frames. utt_duration=63.25 frames, utt_pad_proportion=0.1453, over 810.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3525, pruned_loss=0.1094, over 2775134.39 frames. utt_duration=255.2 frames, utt_pad_proportion=0.07049, over 43752.07 utterances.], batch size: 810, lr: 2.92e-04
+2022-09-18 09:11:50,439 INFO [train.py:885] (1/2) Epoch 16, batch 7200, loss[loss=0.1794, simple_loss=0.2427, pruned_loss=0.05803, over 13489.00 frames. utt_duration=1286 frames, utt_pad_proportion=0.09484, over 42.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3552, pruned_loss=0.1104, over 2782372.61 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06893, over 44536.38 utterances.], batch size: 42, lr: 2.92e-04
+2022-09-18 09:12:19,745 INFO [train.py:885] (1/2) Epoch 16, batch 7250, loss[loss=0.3696, simple_loss=0.4196, pruned_loss=0.1598, over 14315.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.0396, over 262.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3537, pruned_loss=0.1104, over 2780504.14 frames. utt_duration=259.3 frames, utt_pad_proportion=0.06797, over 43141.00 utterances.], batch size: 262, lr: 2.92e-04
+2022-09-18 09:12:49,318 INFO [train.py:885] (1/2) Epoch 16, batch 7300, loss[loss=0.218, simple_loss=0.2667, pruned_loss=0.08468, over 13636.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.08057, over 50.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3535, pruned_loss=0.1109, over 2778138.32 frames. utt_duration=261.8 frames, utt_pad_proportion=0.06936, over 42694.07 utterances.], batch size: 50, lr: 2.92e-04
+2022-09-18 09:13:18,997 INFO [train.py:885] (1/2) Epoch 16, batch 7350, loss[loss=0.527, simple_loss=0.6022, pruned_loss=0.2259, over 12430.00 frames. utt_duration=62.99 frames, utt_pad_proportion=0.1488, over 810.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3569, pruned_loss=0.1124, over 2774747.41 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07213, over 45109.85 utterances.], batch size: 810, lr: 2.91e-04
+2022-09-18 09:13:48,865 INFO [train.py:885] (1/2) Epoch 16, batch 7400, loss[loss=0.1832, simple_loss=0.2295, pruned_loss=0.06848, over 12098.00 frames. utt_duration=2018 frames, utt_pad_proportion=0.1638, over 24.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3591, pruned_loss=0.1127, over 2774118.85 frames. utt_duration=241.9 frames, utt_pad_proportion=0.0719, over 46150.69 utterances.], batch size: 24, lr: 2.91e-04
+2022-09-18 09:14:18,027 INFO [train.py:885] (1/2) Epoch 16, batch 7450, loss[loss=0.1829, simple_loss=0.2535, pruned_loss=0.05613, over 13784.00 frames. utt_duration=920.3 frames, utt_pad_proportion=0.06849, over 60.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3567, pruned_loss=0.112, over 2777310.41 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06929, over 44889.74 utterances.], batch size: 60, lr: 2.91e-04
+2022-09-18 09:14:48,100 INFO [train.py:885] (1/2) Epoch 16, batch 7500, loss[loss=0.6057, simple_loss=0.6497, pruned_loss=0.2808, over 12472.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.146, over 810.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3607, pruned_loss=0.1145, over 2776465.40 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07195, over 46217.94 utterances.], batch size: 810, lr: 2.91e-04
+2022-09-18 09:15:17,922 INFO [train.py:885] (1/2) Epoch 16, batch 7550, loss[loss=0.3379, simple_loss=0.3854, pruned_loss=0.1452, over 14372.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03766, over 167.00 utterances.], tot_loss[loss=0.2951, simple_loss=0.3613, pruned_loss=0.1144, over 2778274.63 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07168, over 46445.46 utterances.], batch size: 167, lr: 2.91e-04
+2022-09-18 09:15:47,022 INFO [train.py:885] (1/2) Epoch 16, batch 7600, loss[loss=0.3537, simple_loss=0.4332, pruned_loss=0.1371, over 13580.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.08379, over 477.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3618, pruned_loss=0.1146, over 2780773.32 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07114, over 46692.32 utterances.], batch size: 477, lr: 2.91e-04
+2022-09-18 09:16:16,689 INFO [train.py:885] (1/2) Epoch 16, batch 7650, loss[loss=0.1931, simple_loss=0.2549, pruned_loss=0.06566, over 13882.00 frames. utt_duration=926.9 frames, utt_pad_proportion=0.06568, over 60.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3562, pruned_loss=0.1126, over 2779005.36 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06868, over 44045.95 utterances.], batch size: 60, lr: 2.91e-04
+2022-09-18 09:16:45,994 INFO [train.py:885] (1/2) Epoch 16, batch 7700, loss[loss=0.3775, simple_loss=0.4735, pruned_loss=0.1407, over 13136.00 frames. utt_duration=81.97 frames, utt_pad_proportion=0.109, over 653.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3555, pruned_loss=0.1122, over 2780330.07 frames. utt_duration=254 frames, utt_pad_proportion=0.06757, over 44037.11 utterances.], batch size: 653, lr: 2.91e-04
+2022-09-18 09:17:15,425 INFO [train.py:885] (1/2) Epoch 16, batch 7750, loss[loss=0.3655, simple_loss=0.4091, pruned_loss=0.161, over 14376.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03584, over 244.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.3545, pruned_loss=0.1115, over 2780099.11 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0692, over 43833.57 utterances.], batch size: 244, lr: 2.91e-04
+2022-09-18 09:17:44,943 INFO [train.py:885] (1/2) Epoch 16, batch 7800, loss[loss=0.2243, simple_loss=0.2899, pruned_loss=0.07938, over 14094.00 frames. utt_duration=715 frames, utt_pad_proportion=0.05295, over 79.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3566, pruned_loss=0.1119, over 2780446.38 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07013, over 45087.84 utterances.], batch size: 79, lr: 2.91e-04
+2022-09-18 09:18:15,506 INFO [train.py:885] (1/2) Epoch 16, batch 7850, loss[loss=0.2878, simple_loss=0.3616, pruned_loss=0.107, over 14278.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04042, over 225.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.354, pruned_loss=0.1103, over 2781015.42 frames. utt_duration=252.3 frames, utt_pad_proportion=0.0697, over 44351.47 utterances.], batch size: 225, lr: 2.91e-04
+2022-09-18 09:18:44,712 INFO [train.py:885] (1/2) Epoch 16, batch 7900, loss[loss=0.3993, simple_loss=0.4425, pruned_loss=0.178, over 14203.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04443, over 306.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.356, pruned_loss=0.1113, over 2783929.68 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06841, over 45088.11 utterances.], batch size: 306, lr: 2.91e-04
+2022-09-18 09:19:14,553 INFO [train.py:885] (1/2) Epoch 16, batch 7950, loss[loss=0.141, simple_loss=0.1819, pruned_loss=0.05003, over 13415.00 frames. utt_duration=1628 frames, utt_pad_proportion=0.09674, over 33.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3543, pruned_loss=0.1103, over 2782463.39 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06899, over 44643.62 utterances.], batch size: 33, lr: 2.91e-04
+2022-09-18 09:19:43,602 INFO [train.py:885] (1/2) Epoch 16, batch 8000, loss[loss=0.4622, simple_loss=0.4849, pruned_loss=0.2197, over 14333.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03815, over 262.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3539, pruned_loss=0.1105, over 2783069.75 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06865, over 44837.89 utterances.], batch size: 262, lr: 2.91e-04
+2022-09-18 09:20:13,207 INFO [train.py:885] (1/2) Epoch 16, batch 8050, loss[loss=0.3721, simple_loss=0.4256, pruned_loss=0.1593, over 14223.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04277, over 306.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3535, pruned_loss=0.1108, over 2783048.33 frames. utt_duration=253 frames, utt_pad_proportion=0.06727, over 44266.02 utterances.], batch size: 306, lr: 2.91e-04
+2022-09-18 09:20:42,570 INFO [train.py:885] (1/2) Epoch 16, batch 8100, loss[loss=0.3209, simple_loss=0.3854, pruned_loss=0.1282, over 14307.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04007, over 262.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3553, pruned_loss=0.1117, over 2778728.43 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06882, over 44974.57 utterances.], batch size: 262, lr: 2.91e-04
+2022-09-18 09:21:12,129 INFO [train.py:885] (1/2) Epoch 16, batch 8150, loss[loss=0.2615, simple_loss=0.335, pruned_loss=0.09398, over 14287.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03658, over 154.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3542, pruned_loss=0.1106, over 2778273.03 frames. utt_duration=249.2 frames, utt_pad_proportion=0.0685, over 44863.47 utterances.], batch size: 154, lr: 2.91e-04
+2022-09-18 09:21:41,271 INFO [train.py:885] (1/2) Epoch 16, batch 8200, loss[loss=0.3033, simple_loss=0.3599, pruned_loss=0.1233, over 14353.00 frames. utt_duration=479.8 frames, utt_pad_proportion=0.03655, over 120.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3558, pruned_loss=0.1119, over 2776732.01 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07097, over 44986.96 utterances.], batch size: 120, lr: 2.91e-04
+2022-09-18 09:22:11,112 INFO [train.py:885] (1/2) Epoch 16, batch 8250, loss[loss=0.272, simple_loss=0.3474, pruned_loss=0.09832, over 14272.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.04307, over 154.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.352, pruned_loss=0.1096, over 2778360.78 frames. utt_duration=259.3 frames, utt_pad_proportion=0.06829, over 43104.10 utterances.], batch size: 154, lr: 2.91e-04
+2022-09-18 09:22:40,466 INFO [train.py:885] (1/2) Epoch 16, batch 8300, loss[loss=0.2829, simple_loss=0.343, pruned_loss=0.1114, over 14064.00 frames. utt_duration=575.7 frames, utt_pad_proportion=0.05631, over 98.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3506, pruned_loss=0.1084, over 2775843.79 frames. utt_duration=255.7 frames, utt_pad_proportion=0.07017, over 43669.43 utterances.], batch size: 98, lr: 2.91e-04
+2022-09-18 09:23:10,876 INFO [train.py:885] (1/2) Epoch 16, batch 8350, loss[loss=0.3696, simple_loss=0.4213, pruned_loss=0.159, over 14234.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04346, over 335.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3515, pruned_loss=0.109, over 2779648.52 frames. utt_duration=256.4 frames, utt_pad_proportion=0.07003, over 43619.61 utterances.], batch size: 335, lr: 2.91e-04
+2022-09-18 09:23:39,703 INFO [train.py:885] (1/2) Epoch 16, batch 8400, loss[loss=0.3155, simple_loss=0.4007, pruned_loss=0.1152, over 13791.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07016, over 411.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3532, pruned_loss=0.1098, over 2779123.10 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06916, over 44662.55 utterances.], batch size: 411, lr: 2.91e-04
+2022-09-18 09:24:09,833 INFO [train.py:885] (1/2) Epoch 16, batch 8450, loss[loss=0.2356, simple_loss=0.3096, pruned_loss=0.08074, over 14157.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.04599, over 109.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3507, pruned_loss=0.1088, over 2778141.58 frames. utt_duration=254.3 frames, utt_pad_proportion=0.07077, over 43960.26 utterances.], batch size: 109, lr: 2.91e-04
+2022-09-18 09:24:38,569 INFO [train.py:885] (1/2) Epoch 16, batch 8500, loss[loss=0.2829, simple_loss=0.3469, pruned_loss=0.1095, over 14281.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04257, over 154.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3535, pruned_loss=0.1096, over 2782673.96 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07048, over 45129.77 utterances.], batch size: 154, lr: 2.91e-04
+2022-09-18 09:25:09,173 INFO [train.py:885] (1/2) Epoch 16, batch 8550, loss[loss=0.195, simple_loss=0.2732, pruned_loss=0.05842, over 13768.00 frames. utt_duration=1103 frames, utt_pad_proportion=0.071, over 50.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3528, pruned_loss=0.1093, over 2785055.65 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06938, over 44436.35 utterances.], batch size: 50, lr: 2.91e-04
+2022-09-18 09:25:38,198 INFO [train.py:885] (1/2) Epoch 16, batch 8600, loss[loss=0.4729, simple_loss=0.5673, pruned_loss=0.1893, over 12497.00 frames. utt_duration=63.27 frames, utt_pad_proportion=0.145, over 810.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3548, pruned_loss=0.1104, over 2786069.56 frames. utt_duration=250 frames, utt_pad_proportion=0.06901, over 44847.83 utterances.], batch size: 810, lr: 2.91e-04
+2022-09-18 09:26:08,266 INFO [train.py:885] (1/2) Epoch 16, batch 8650, loss[loss=0.1794, simple_loss=0.2342, pruned_loss=0.06227, over 12697.00 frames. utt_duration=2033 frames, utt_pad_proportion=0.1307, over 25.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3531, pruned_loss=0.11, over 2781199.14 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06918, over 43945.41 utterances.], batch size: 25, lr: 2.91e-04
+2022-09-18 09:26:37,370 INFO [train.py:885] (1/2) Epoch 16, batch 8700, loss[loss=0.2366, simple_loss=0.2918, pruned_loss=0.09073, over 13943.00 frames. utt_duration=809.8 frames, utt_pad_proportion=0.05728, over 69.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3558, pruned_loss=0.1114, over 2777220.53 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07176, over 45084.82 utterances.], batch size: 69, lr: 2.90e-04
+2022-09-18 09:27:07,317 INFO [train.py:885] (1/2) Epoch 16, batch 8750, loss[loss=0.3027, simple_loss=0.3854, pruned_loss=0.1101, over 13982.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05683, over 365.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3578, pruned_loss=0.1116, over 2777921.15 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07053, over 46451.87 utterances.], batch size: 365, lr: 2.90e-04
+2022-09-18 09:27:36,618 INFO [train.py:885] (1/2) Epoch 16, batch 8800, loss[loss=0.2149, simple_loss=0.2888, pruned_loss=0.07045, over 14236.00 frames. utt_duration=641.1 frames, utt_pad_proportion=0.04175, over 89.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3575, pruned_loss=0.1118, over 2778872.48 frames. utt_duration=243 frames, utt_pad_proportion=0.07033, over 46019.76 utterances.], batch size: 89, lr: 2.90e-04
+2022-09-18 09:28:05,991 INFO [train.py:885] (1/2) Epoch 16, batch 8850, loss[loss=0.3401, simple_loss=0.4046, pruned_loss=0.1378, over 14319.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03842, over 283.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3539, pruned_loss=0.1106, over 2783375.77 frames. utt_duration=252 frames, utt_pad_proportion=0.06962, over 44449.79 utterances.], batch size: 283, lr: 2.90e-04
+2022-09-18 09:28:35,505 INFO [train.py:885] (1/2) Epoch 16, batch 8900, loss[loss=0.317, simple_loss=0.4039, pruned_loss=0.1151, over 14000.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05576, over 365.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3571, pruned_loss=0.1123, over 2782495.12 frames. utt_duration=247 frames, utt_pad_proportion=0.07132, over 45335.44 utterances.], batch size: 365, lr: 2.90e-04
+2022-09-18 09:29:04,955 INFO [train.py:885] (1/2) Epoch 16, batch 8950, loss[loss=0.2056, simple_loss=0.279, pruned_loss=0.06605, over 13854.00 frames. utt_duration=804.5 frames, utt_pad_proportion=0.06123, over 69.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3542, pruned_loss=0.1107, over 2786681.18 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06934, over 43687.48 utterances.], batch size: 69, lr: 2.90e-04
+2022-09-18 09:29:34,106 INFO [train.py:885] (1/2) Epoch 16, batch 9000, loss[loss=0.172, simple_loss=0.2274, pruned_loss=0.0583, over 13236.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.09939, over 33.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3555, pruned_loss=0.1112, over 2781651.35 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07186, over 44836.81 utterances.], batch size: 33, lr: 2.90e-04
+2022-09-18 09:29:34,107 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 09:29:38,310 INFO [train.py:914] (1/2) Epoch 16, validation: loss=0.2025, simple_loss=0.2821, pruned_loss=0.06147, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 09:30:08,357 INFO [train.py:885] (1/2) Epoch 16, batch 9050, loss[loss=0.6582, simple_loss=0.6851, pruned_loss=0.3156, over 12526.00 frames. utt_duration=63.4 frames, utt_pad_proportion=0.1432, over 810.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3571, pruned_loss=0.1117, over 2781284.24 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07349, over 45969.17 utterances.], batch size: 810, lr: 2.90e-04
+2022-09-18 09:30:37,767 INFO [train.py:885] (1/2) Epoch 16, batch 9100, loss[loss=0.2579, simple_loss=0.3131, pruned_loss=0.1014, over 14060.00 frames. utt_duration=575.3 frames, utt_pad_proportion=0.05541, over 98.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3574, pruned_loss=0.1117, over 2780558.17 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07351, over 45978.39 utterances.], batch size: 98, lr: 2.90e-04
+2022-09-18 09:31:07,640 INFO [train.py:885] (1/2) Epoch 16, batch 9150, loss[loss=0.2564, simple_loss=0.3292, pruned_loss=0.09183, over 14325.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03632, over 130.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3576, pruned_loss=0.1118, over 2779483.35 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07358, over 45904.89 utterances.], batch size: 130, lr: 2.90e-04
+2022-09-18 09:31:37,016 INFO [train.py:885] (1/2) Epoch 16, batch 9200, loss[loss=0.1805, simple_loss=0.248, pruned_loss=0.0565, over 13316.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.0905, over 41.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.356, pruned_loss=0.1107, over 2779140.01 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07372, over 44987.13 utterances.], batch size: 41, lr: 2.90e-04
+2022-09-18 09:32:06,793 INFO [train.py:885] (1/2) Epoch 16, batch 9250, loss[loss=0.2631, simple_loss=0.332, pruned_loss=0.09708, over 14331.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03921, over 154.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.358, pruned_loss=0.1108, over 2773227.93 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07658, over 47273.23 utterances.], batch size: 154, lr: 2.90e-04
+2022-09-18 09:32:35,318 INFO [train.py:885] (1/2) Epoch 16, batch 9300, loss[loss=0.2892, simple_loss=0.3527, pruned_loss=0.1128, over 14249.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04592, over 141.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.356, pruned_loss=0.1104, over 2777405.27 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07235, over 45530.75 utterances.], batch size: 141, lr: 2.90e-04
+2022-09-18 09:33:04,770 INFO [train.py:885] (1/2) Epoch 16, batch 9350, loss[loss=0.2834, simple_loss=0.3484, pruned_loss=0.1092, over 14273.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04028, over 180.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3571, pruned_loss=0.1111, over 2779393.08 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07119, over 45709.47 utterances.], batch size: 180, lr: 2.90e-04
+2022-09-18 09:33:34,410 INFO [train.py:885] (1/2) Epoch 16, batch 9400, loss[loss=0.3407, simple_loss=0.4112, pruned_loss=0.1351, over 14018.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05719, over 366.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3598, pruned_loss=0.1122, over 2779224.76 frames. utt_duration=236 frames, utt_pad_proportion=0.07137, over 47402.39 utterances.], batch size: 366, lr: 2.90e-04
+2022-09-18 09:34:03,967 INFO [train.py:885] (1/2) Epoch 16, batch 9450, loss[loss=0.3127, simple_loss=0.3725, pruned_loss=0.1264, over 14252.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.04414, over 154.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3552, pruned_loss=0.1101, over 2782243.03 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06918, over 45239.84 utterances.], batch size: 154, lr: 2.90e-04
+2022-09-18 09:34:33,349 INFO [train.py:885] (1/2) Epoch 16, batch 9500, loss[loss=0.3644, simple_loss=0.4104, pruned_loss=0.1592, over 14325.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03829, over 195.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.3602, pruned_loss=0.113, over 2778702.06 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07201, over 46969.60 utterances.], batch size: 195, lr: 2.90e-04
+2022-09-18 09:35:02,998 INFO [train.py:885] (1/2) Epoch 16, batch 9550, loss[loss=0.3313, simple_loss=0.3925, pruned_loss=0.135, over 14394.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03086, over 244.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3613, pruned_loss=0.1128, over 2778792.26 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07205, over 47933.71 utterances.], batch size: 244, lr: 2.90e-04
+2022-09-18 09:35:32,929 INFO [train.py:885] (1/2) Epoch 16, batch 9600, loss[loss=0.3193, simple_loss=0.4112, pruned_loss=0.1137, over 13758.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07304, over 411.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.3612, pruned_loss=0.1122, over 2773848.69 frames. utt_duration=229.7 frames, utt_pad_proportion=0.07324, over 48608.96 utterances.], batch size: 411, lr: 2.90e-04
+2022-09-18 09:36:02,659 INFO [train.py:885] (1/2) Epoch 16, batch 9650, loss[loss=0.3317, simple_loss=0.3936, pruned_loss=0.1349, over 14304.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.03997, over 283.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.3671, pruned_loss=0.1158, over 2772982.50 frames. utt_duration=218.1 frames, utt_pad_proportion=0.07435, over 51203.63 utterances.], batch size: 283, lr: 2.90e-04
+2022-09-18 09:36:31,469 INFO [train.py:885] (1/2) Epoch 16, batch 9700, loss[loss=0.1811, simple_loss=0.2348, pruned_loss=0.06374, over 13575.00 frames. utt_duration=1326 frames, utt_pad_proportion=0.07223, over 41.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3634, pruned_loss=0.1136, over 2777600.89 frames. utt_duration=227.1 frames, utt_pad_proportion=0.07298, over 49241.94 utterances.], batch size: 41, lr: 2.90e-04
+2022-09-18 09:37:01,662 INFO [train.py:885] (1/2) Epoch 16, batch 9750, loss[loss=0.1707, simple_loss=0.2089, pruned_loss=0.06629, over 12449.00 frames. utt_duration=2076 frames, utt_pad_proportion=0.1464, over 24.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3615, pruned_loss=0.1132, over 2777141.44 frames. utt_duration=230.2 frames, utt_pad_proportion=0.07383, over 48575.26 utterances.], batch size: 24, lr: 2.90e-04
+2022-09-18 09:37:30,670 INFO [train.py:885] (1/2) Epoch 16, batch 9800, loss[loss=0.3017, simple_loss=0.3723, pruned_loss=0.1156, over 14326.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03814, over 195.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3572, pruned_loss=0.1112, over 2778345.72 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07204, over 46832.94 utterances.], batch size: 195, lr: 2.90e-04
+2022-09-18 09:37:59,856 INFO [train.py:885] (1/2) Epoch 16, batch 9850, loss[loss=0.2907, simple_loss=0.3578, pruned_loss=0.1119, over 14292.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03912, over 180.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.3561, pruned_loss=0.1107, over 2780220.24 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07044, over 45162.84 utterances.], batch size: 180, lr: 2.90e-04
+2022-09-18 09:38:29,611 INFO [train.py:885] (1/2) Epoch 16, batch 9900, loss[loss=0.5162, simple_loss=0.6043, pruned_loss=0.2141, over 12458.00 frames. utt_duration=63.1 frames, utt_pad_proportion=0.1474, over 810.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3598, pruned_loss=0.1125, over 2776879.17 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07363, over 47534.99 utterances.], batch size: 810, lr: 2.90e-04
+2022-09-18 09:38:59,408 INFO [train.py:885] (1/2) Epoch 16, batch 9950, loss[loss=0.3123, simple_loss=0.4025, pruned_loss=0.1111, over 13773.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07336, over 412.00 utterances.], tot_loss[loss=0.2886, simple_loss=0.3561, pruned_loss=0.1106, over 2776399.11 frames. utt_duration=244.6 frames, utt_pad_proportion=0.0728, over 45679.89 utterances.], batch size: 412, lr: 2.90e-04
+2022-09-18 09:39:28,648 INFO [train.py:885] (1/2) Epoch 16, batch 10000, loss[loss=0.3761, simple_loss=0.4674, pruned_loss=0.1424, over 13150.00 frames. utt_duration=82.16 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.3566, pruned_loss=0.1105, over 2776860.76 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07094, over 46017.46 utterances.], batch size: 653, lr: 2.90e-04
+2022-09-18 09:39:58,476 INFO [train.py:885] (1/2) Epoch 16, batch 10050, loss[loss=0.3299, simple_loss=0.3899, pruned_loss=0.135, over 14343.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03697, over 283.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.3562, pruned_loss=0.1107, over 2777341.33 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06994, over 45030.33 utterances.], batch size: 283, lr: 2.89e-04
+2022-09-18 09:40:27,450 INFO [train.py:885] (1/2) Epoch 16, batch 10100, loss[loss=0.2824, simple_loss=0.3625, pruned_loss=0.1012, over 14342.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03931, over 167.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3555, pruned_loss=0.1096, over 2776091.85 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07036, over 45466.11 utterances.], batch size: 167, lr: 2.89e-04
+2022-09-18 09:40:57,426 INFO [train.py:885] (1/2) Epoch 16, batch 10150, loss[loss=0.1965, simple_loss=0.2584, pruned_loss=0.06735, over 13943.00 frames. utt_duration=931.2 frames, utt_pad_proportion=0.06506, over 60.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3573, pruned_loss=0.1103, over 2773595.53 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07237, over 46225.49 utterances.], batch size: 60, lr: 2.89e-04
+2022-09-18 09:41:26,963 INFO [train.py:885] (1/2) Epoch 16, batch 10200, loss[loss=0.1678, simple_loss=0.2218, pruned_loss=0.0569, over 13059.00 frames. utt_duration=1584 frames, utt_pad_proportion=0.1139, over 33.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3576, pruned_loss=0.1102, over 2776157.77 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07198, over 46265.47 utterances.], batch size: 33, lr: 2.89e-04
+2022-09-18 09:42:05,259 INFO [train.py:885] (1/2) Epoch 16, batch 10250, loss[loss=0.3734, simple_loss=0.436, pruned_loss=0.1555, over 13800.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06974, over 411.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3618, pruned_loss=0.113, over 2776581.68 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07278, over 47073.45 utterances.], batch size: 411, lr: 2.89e-04
+2022-09-18 09:42:34,768 INFO [train.py:885] (1/2) Epoch 16, batch 10300, loss[loss=0.3337, simple_loss=0.4096, pruned_loss=0.1289, over 13947.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.05954, over 365.00 utterances.], tot_loss[loss=0.297, simple_loss=0.3648, pruned_loss=0.1146, over 2780531.85 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07189, over 48102.61 utterances.], batch size: 365, lr: 2.89e-04
+2022-09-18 09:43:03,767 INFO [train.py:885] (1/2) Epoch 16, batch 10350, loss[loss=0.2263, simple_loss=0.2937, pruned_loss=0.07939, over 14209.00 frames. utt_duration=522.8 frames, utt_pad_proportion=0.04243, over 109.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3637, pruned_loss=0.1138, over 2776055.14 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07343, over 48213.84 utterances.], batch size: 109, lr: 2.89e-04
+2022-09-18 09:43:33,441 INFO [train.py:885] (1/2) Epoch 16, batch 10400, loss[loss=0.512, simple_loss=0.5983, pruned_loss=0.2128, over 12524.00 frames. utt_duration=63.33 frames, utt_pad_proportion=0.1441, over 811.00 utterances.], tot_loss[loss=0.294, simple_loss=0.363, pruned_loss=0.1125, over 2772077.31 frames. utt_duration=226.3 frames, utt_pad_proportion=0.07457, over 49323.28 utterances.], batch size: 811, lr: 2.89e-04
+2022-09-18 09:44:03,478 INFO [train.py:885] (1/2) Epoch 16, batch 10450, loss[loss=0.2764, simple_loss=0.3503, pruned_loss=0.1012, over 14401.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.03529, over 155.00 utterances.], tot_loss[loss=0.2957, simple_loss=0.3632, pruned_loss=0.1141, over 2770365.71 frames. utt_duration=230.1 frames, utt_pad_proportion=0.07478, over 48471.39 utterances.], batch size: 155, lr: 2.89e-04
+2022-09-18 09:44:32,692 INFO [train.py:885] (1/2) Epoch 16, batch 10500, loss[loss=0.2255, simple_loss=0.3126, pruned_loss=0.06922, over 14275.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04421, over 141.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3611, pruned_loss=0.1127, over 2774228.27 frames. utt_duration=234.3 frames, utt_pad_proportion=0.073, over 47661.09 utterances.], batch size: 141, lr: 2.89e-04
+2022-09-18 09:45:02,625 INFO [train.py:885] (1/2) Epoch 16, batch 10550, loss[loss=0.1691, simple_loss=0.231, pruned_loss=0.05363, over 13715.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.08254, over 51.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.361, pruned_loss=0.112, over 2772394.52 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07456, over 47656.05 utterances.], batch size: 51, lr: 2.89e-04
+2022-09-18 09:45:31,975 INFO [train.py:885] (1/2) Epoch 16, batch 10600, loss[loss=0.3299, simple_loss=0.4043, pruned_loss=0.1278, over 13973.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.0579, over 365.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.3608, pruned_loss=0.1127, over 2775352.08 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07364, over 47029.54 utterances.], batch size: 365, lr: 2.89e-04
+2022-09-18 09:46:01,899 INFO [train.py:885] (1/2) Epoch 16, batch 10650, loss[loss=0.276, simple_loss=0.348, pruned_loss=0.102, over 14373.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03731, over 167.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3583, pruned_loss=0.1111, over 2776866.94 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07415, over 46193.12 utterances.], batch size: 167, lr: 2.89e-04
+2022-09-18 09:46:31,220 INFO [train.py:885] (1/2) Epoch 16, batch 10700, loss[loss=0.2367, simple_loss=0.329, pruned_loss=0.07222, over 14190.00 frames. utt_duration=404 frames, utt_pad_proportion=0.04946, over 141.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3604, pruned_loss=0.1124, over 2778975.77 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07316, over 46064.98 utterances.], batch size: 141, lr: 2.89e-04
+2022-09-18 09:47:01,081 INFO [train.py:885] (1/2) Epoch 16, batch 10750, loss[loss=0.2389, simple_loss=0.3094, pruned_loss=0.08421, over 14107.00 frames. utt_duration=577.2 frames, utt_pad_proportion=0.05219, over 98.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3564, pruned_loss=0.1097, over 2782640.97 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06981, over 44503.28 utterances.], batch size: 98, lr: 2.89e-04
+2022-09-18 09:47:30,647 INFO [train.py:885] (1/2) Epoch 16, batch 10800, loss[loss=0.3033, simple_loss=0.3775, pruned_loss=0.1146, over 14366.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03495, over 210.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3631, pruned_loss=0.1137, over 2780335.13 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07364, over 47393.62 utterances.], batch size: 210, lr: 2.89e-04
+2022-09-18 09:48:00,044 INFO [train.py:885] (1/2) Epoch 16, batch 10850, loss[loss=0.2035, simple_loss=0.2585, pruned_loss=0.07428, over 13725.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.07678, over 42.00 utterances.], tot_loss[loss=0.2928, simple_loss=0.3605, pruned_loss=0.1125, over 2779307.63 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07301, over 46551.57 utterances.], batch size: 42, lr: 2.89e-04
+2022-09-18 09:48:29,380 INFO [train.py:885] (1/2) Epoch 16, batch 10900, loss[loss=0.2316, simple_loss=0.3051, pruned_loss=0.07904, over 14151.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04638, over 109.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3575, pruned_loss=0.1108, over 2775423.21 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07249, over 45706.13 utterances.], batch size: 109, lr: 2.89e-04
+2022-09-18 09:48:58,471 INFO [train.py:885] (1/2) Epoch 16, batch 10950, loss[loss=0.2132, simple_loss=0.2907, pruned_loss=0.0679, over 14241.00 frames. utt_duration=641.6 frames, utt_pad_proportion=0.04521, over 89.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3553, pruned_loss=0.1103, over 2777531.01 frames. utt_duration=251 frames, utt_pad_proportion=0.07151, over 44516.18 utterances.], batch size: 89, lr: 2.89e-04
+2022-09-18 09:49:27,939 INFO [train.py:885] (1/2) Epoch 16, batch 11000, loss[loss=0.162, simple_loss=0.2338, pruned_loss=0.04508, over 13236.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1039, over 33.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3531, pruned_loss=0.1092, over 2777744.48 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07079, over 44109.25 utterances.], batch size: 33, lr: 2.89e-04
+2022-09-18 09:49:56,947 INFO [train.py:885] (1/2) Epoch 16, batch 11050, loss[loss=0.2481, simple_loss=0.3094, pruned_loss=0.09341, over 14326.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03647, over 130.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3548, pruned_loss=0.1092, over 2781831.34 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06954, over 44973.68 utterances.], batch size: 130, lr: 2.89e-04
+2022-09-18 09:50:26,910 INFO [train.py:885] (1/2) Epoch 16, batch 11100, loss[loss=0.3063, simple_loss=0.3825, pruned_loss=0.1151, over 14302.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03854, over 180.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.3572, pruned_loss=0.1102, over 2780873.74 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07216, over 46307.27 utterances.], batch size: 180, lr: 2.89e-04
+2022-09-18 09:50:56,792 INFO [train.py:885] (1/2) Epoch 16, batch 11150, loss[loss=0.2943, simple_loss=0.3878, pruned_loss=0.1004, over 13733.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07366, over 411.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3567, pruned_loss=0.1095, over 2781878.94 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07184, over 46230.43 utterances.], batch size: 411, lr: 2.89e-04
+2022-09-18 09:51:26,132 INFO [train.py:885] (1/2) Epoch 16, batch 11200, loss[loss=0.2117, simple_loss=0.2763, pruned_loss=0.0736, over 13751.00 frames. utt_duration=918.1 frames, utt_pad_proportion=0.07823, over 60.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3575, pruned_loss=0.1101, over 2780093.56 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07162, over 46480.70 utterances.], batch size: 60, lr: 2.89e-04
+2022-09-18 09:51:55,304 INFO [train.py:885] (1/2) Epoch 16, batch 11250, loss[loss=0.207, simple_loss=0.2662, pruned_loss=0.0739, over 13949.00 frames. utt_duration=931.4 frames, utt_pad_proportion=0.06389, over 60.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3567, pruned_loss=0.1099, over 2779110.30 frames. utt_duration=243 frames, utt_pad_proportion=0.07219, over 46030.53 utterances.], batch size: 60, lr: 2.89e-04
+2022-09-18 09:52:25,439 INFO [train.py:885] (1/2) Epoch 16, batch 11300, loss[loss=0.4657, simple_loss=0.4784, pruned_loss=0.2265, over 14327.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.0375, over 195.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3579, pruned_loss=0.1107, over 2778435.90 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07243, over 46549.04 utterances.], batch size: 195, lr: 2.89e-04
+2022-09-18 09:52:54,942 INFO [train.py:885] (1/2) Epoch 16, batch 11350, loss[loss=0.2366, simple_loss=0.3059, pruned_loss=0.08365, over 14163.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.0453, over 109.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3571, pruned_loss=0.1107, over 2771740.81 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07451, over 46585.28 utterances.], batch size: 109, lr: 2.89e-04
+2022-09-18 09:53:24,552 INFO [train.py:885] (1/2) Epoch 16, batch 11400, loss[loss=0.2396, simple_loss=0.3174, pruned_loss=0.08089, over 14272.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.03975, over 130.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3551, pruned_loss=0.1099, over 2777866.51 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07115, over 45306.47 utterances.], batch size: 130, lr: 2.89e-04
+2022-09-18 09:53:53,625 INFO [train.py:885] (1/2) Epoch 16, batch 11450, loss[loss=0.2489, simple_loss=0.3188, pruned_loss=0.08947, over 14182.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04436, over 109.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3543, pruned_loss=0.1095, over 2781039.82 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07002, over 44909.71 utterances.], batch size: 109, lr: 2.88e-04
+2022-09-18 09:54:23,112 INFO [train.py:885] (1/2) Epoch 16, batch 11500, loss[loss=0.3419, simple_loss=0.428, pruned_loss=0.1279, over 13672.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.07322, over 478.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3546, pruned_loss=0.1098, over 2785014.83 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06765, over 44618.32 utterances.], batch size: 478, lr: 2.88e-04
+2022-09-18 09:54:52,642 INFO [train.py:885] (1/2) Epoch 16, batch 11550, loss[loss=0.5324, simple_loss=0.6075, pruned_loss=0.2286, over 12395.00 frames. utt_duration=62.76 frames, utt_pad_proportion=0.1519, over 810.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3574, pruned_loss=0.1122, over 2783081.17 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06901, over 45383.39 utterances.], batch size: 810, lr: 2.88e-04
+2022-09-18 09:55:21,993 INFO [train.py:885] (1/2) Epoch 16, batch 11600, loss[loss=0.5465, simple_loss=0.6257, pruned_loss=0.2336, over 12535.00 frames. utt_duration=63.35 frames, utt_pad_proportion=0.144, over 811.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3589, pruned_loss=0.1129, over 2784100.37 frames. utt_duration=248.7 frames, utt_pad_proportion=0.0689, over 45042.40 utterances.], batch size: 811, lr: 2.88e-04
+2022-09-18 09:55:51,880 INFO [train.py:885] (1/2) Epoch 16, batch 11650, loss[loss=0.1861, simple_loss=0.2535, pruned_loss=0.05933, over 13756.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.07847, over 42.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.359, pruned_loss=0.1131, over 2785947.42 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07086, over 44983.45 utterances.], batch size: 42, lr: 2.88e-04
+2022-09-18 09:56:21,273 INFO [train.py:885] (1/2) Epoch 16, batch 11700, loss[loss=0.1888, simple_loss=0.2599, pruned_loss=0.05883, over 12246.00 frames. utt_duration=2042 frames, utt_pad_proportion=0.1643, over 24.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3582, pruned_loss=0.1123, over 2784814.21 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07069, over 45421.43 utterances.], batch size: 24, lr: 2.88e-04
+2022-09-18 09:56:50,859 INFO [train.py:885] (1/2) Epoch 16, batch 11750, loss[loss=0.288, simple_loss=0.3229, pruned_loss=0.1266, over 14097.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05263, over 98.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3569, pruned_loss=0.1113, over 2783199.09 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07115, over 44875.17 utterances.], batch size: 98, lr: 2.88e-04
+2022-09-18 09:57:20,761 INFO [train.py:885] (1/2) Epoch 16, batch 11800, loss[loss=0.259, simple_loss=0.3308, pruned_loss=0.09365, over 14353.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.03661, over 130.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3581, pruned_loss=0.1112, over 2783817.62 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07037, over 45973.05 utterances.], batch size: 130, lr: 2.88e-04
+2022-09-18 09:57:49,879 INFO [train.py:885] (1/2) Epoch 16, batch 11850, loss[loss=0.3757, simple_loss=0.4596, pruned_loss=0.1459, over 13643.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.07697, over 560.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3562, pruned_loss=0.1108, over 2785963.25 frames. utt_duration=249 frames, utt_pad_proportion=0.06864, over 45015.53 utterances.], batch size: 560, lr: 2.88e-04
+2022-09-18 09:58:19,238 INFO [train.py:885] (1/2) Epoch 16, batch 11900, loss[loss=0.2918, simple_loss=0.3839, pruned_loss=0.09983, over 13808.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.0712, over 412.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3563, pruned_loss=0.1108, over 2783301.09 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07016, over 45838.22 utterances.], batch size: 412, lr: 2.88e-04
+2022-09-18 09:58:49,041 INFO [train.py:885] (1/2) Epoch 16, batch 11950, loss[loss=0.5429, simple_loss=0.6189, pruned_loss=0.2335, over 12460.00 frames. utt_duration=63.18 frames, utt_pad_proportion=0.1462, over 810.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3614, pruned_loss=0.1135, over 2780513.06 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07208, over 47282.51 utterances.], batch size: 810, lr: 2.88e-04
+2022-09-18 09:59:18,756 INFO [train.py:885] (1/2) Epoch 16, batch 12000, loss[loss=0.3533, simple_loss=0.4084, pruned_loss=0.1491, over 14356.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03595, over 226.00 utterances.], tot_loss[loss=0.294, simple_loss=0.3609, pruned_loss=0.1135, over 2785994.42 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07023, over 46115.48 utterances.], batch size: 226, lr: 2.88e-04
+2022-09-18 09:59:18,757 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 09:59:22,890 INFO [train.py:914] (1/2) Epoch 16, validation: loss=0.1949, simple_loss=0.2758, pruned_loss=0.05702, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 09:59:52,615 INFO [train.py:885] (1/2) Epoch 16, batch 12050, loss[loss=0.2948, simple_loss=0.3627, pruned_loss=0.1134, over 14381.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03178, over 244.00 utterances.], tot_loss[loss=0.2959, simple_loss=0.3631, pruned_loss=0.1144, over 2782042.43 frames. utt_duration=234 frames, utt_pad_proportion=0.07205, over 47856.73 utterances.], batch size: 244, lr: 2.88e-04
+2022-09-18 10:00:21,805 INFO [train.py:885] (1/2) Epoch 16, batch 12100, loss[loss=0.4948, simple_loss=0.5031, pruned_loss=0.2432, over 14249.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04221, over 335.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3606, pruned_loss=0.1132, over 2785463.38 frames. utt_duration=241.3 frames, utt_pad_proportion=0.06924, over 46453.86 utterances.], batch size: 335, lr: 2.88e-04
+2022-09-18 10:00:51,666 INFO [train.py:885] (1/2) Epoch 16, batch 12150, loss[loss=0.3878, simple_loss=0.4321, pruned_loss=0.1717, over 14241.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04194, over 335.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3593, pruned_loss=0.112, over 2783343.04 frames. utt_duration=239.1 frames, utt_pad_proportion=0.069, over 46844.29 utterances.], batch size: 335, lr: 2.88e-04
+2022-09-18 10:01:21,173 INFO [train.py:885] (1/2) Epoch 16, batch 12200, loss[loss=0.2947, simple_loss=0.3897, pruned_loss=0.09984, over 13769.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07218, over 411.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.3615, pruned_loss=0.1132, over 2783035.34 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07238, over 47533.02 utterances.], batch size: 411, lr: 2.88e-04
+2022-09-18 10:01:51,107 INFO [train.py:885] (1/2) Epoch 16, batch 12250, loss[loss=0.5553, simple_loss=0.6234, pruned_loss=0.2436, over 12459.00 frames. utt_duration=63.09 frames, utt_pad_proportion=0.1475, over 810.00 utterances.], tot_loss[loss=0.2971, simple_loss=0.3647, pruned_loss=0.1147, over 2778230.21 frames. utt_duration=226.1 frames, utt_pad_proportion=0.07595, over 49475.28 utterances.], batch size: 810, lr: 2.88e-04
+2022-09-18 10:02:20,298 INFO [train.py:885] (1/2) Epoch 16, batch 12300, loss[loss=0.3477, simple_loss=0.436, pruned_loss=0.1297, over 13554.00 frames. utt_duration=98.18 frames, utt_pad_proportion=0.08246, over 560.00 utterances.], tot_loss[loss=0.2968, simple_loss=0.3639, pruned_loss=0.1148, over 2781823.63 frames. utt_duration=229 frames, utt_pad_proportion=0.07393, over 48910.70 utterances.], batch size: 560, lr: 2.88e-04
+2022-09-18 10:02:49,562 INFO [train.py:885] (1/2) Epoch 16, batch 12350, loss[loss=0.2215, simple_loss=0.2904, pruned_loss=0.07627, over 14065.00 frames. utt_duration=713.6 frames, utt_pad_proportion=0.05602, over 79.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.363, pruned_loss=0.1138, over 2783291.57 frames. utt_duration=230.1 frames, utt_pad_proportion=0.07375, over 48698.03 utterances.], batch size: 79, lr: 2.88e-04
+2022-09-18 10:03:19,622 INFO [train.py:885] (1/2) Epoch 16, batch 12400, loss[loss=0.2962, simple_loss=0.3808, pruned_loss=0.1058, over 13998.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05561, over 365.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3629, pruned_loss=0.1139, over 2776035.00 frames. utt_duration=230.1 frames, utt_pad_proportion=0.07471, over 48573.50 utterances.], batch size: 365, lr: 2.88e-04
+2022-09-18 10:03:49,336 INFO [train.py:885] (1/2) Epoch 16, batch 12450, loss[loss=0.276, simple_loss=0.3523, pruned_loss=0.09984, over 14334.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03523, over 244.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3612, pruned_loss=0.113, over 2775024.42 frames. utt_duration=230.6 frames, utt_pad_proportion=0.07534, over 48445.50 utterances.], batch size: 244, lr: 2.88e-04
+2022-09-18 10:04:18,283 INFO [train.py:885] (1/2) Epoch 16, batch 12500, loss[loss=0.3384, simple_loss=0.4159, pruned_loss=0.1304, over 14017.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05431, over 365.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3615, pruned_loss=0.1126, over 2773319.72 frames. utt_duration=229.6 frames, utt_pad_proportion=0.07529, over 48640.30 utterances.], batch size: 365, lr: 2.88e-04
+2022-09-18 10:04:48,361 INFO [train.py:885] (1/2) Epoch 16, batch 12550, loss[loss=0.1881, simple_loss=0.2669, pruned_loss=0.05466, over 14075.00 frames. utt_duration=805.6 frames, utt_pad_proportion=0.05996, over 70.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3595, pruned_loss=0.1118, over 2778239.32 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07278, over 48045.96 utterances.], batch size: 70, lr: 2.88e-04
+2022-09-18 10:05:15,638 INFO [train.py:885] (1/2) Epoch 16, batch 12600, loss[loss=0.2375, simple_loss=0.2931, pruned_loss=0.09097, over 13675.00 frames. utt_duration=912.7 frames, utt_pad_proportion=0.07994, over 60.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3549, pruned_loss=0.1095, over 2781076.81 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07041, over 45859.69 utterances.], batch size: 60, lr: 2.88e-04
+2022-09-18 10:05:34,915 INFO [train.py:885] (1/2) Epoch 17, batch 0, loss[loss=0.3145, simple_loss=0.3747, pruned_loss=0.1272, over 14296.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03921, over 154.00 utterances.], tot_loss[loss=0.3145, simple_loss=0.3747, pruned_loss=0.1272, over 14296.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03921, over 154.00 utterances.], batch size: 154, lr: 2.80e-04
+2022-09-18 10:06:04,607 INFO [train.py:885] (1/2) Epoch 17, batch 50, loss[loss=0.3245, simple_loss=0.3825, pruned_loss=0.1333, over 14301.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03897, over 195.00 utterances.], tot_loss[loss=0.3071, simple_loss=0.3761, pruned_loss=0.119, over 626181.51 frames. utt_duration=201.2 frames, utt_pad_proportion=0.07459, over 12540.36 utterances.], batch size: 195, lr: 2.80e-04
+2022-09-18 10:06:34,302 INFO [train.py:885] (1/2) Epoch 17, batch 100, loss[loss=0.2117, simple_loss=0.2899, pruned_loss=0.06671, over 14260.00 frames. utt_duration=476.8 frames, utt_pad_proportion=0.04058, over 120.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3629, pruned_loss=0.1135, over 1103553.71 frames. utt_duration=220.6 frames, utt_pad_proportion=0.07231, over 20142.11 utterances.], batch size: 120, lr: 2.80e-04
+2022-09-18 10:07:04,223 INFO [train.py:885] (1/2) Epoch 17, batch 150, loss[loss=0.393, simple_loss=0.4373, pruned_loss=0.1743, over 14219.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04378, over 306.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3631, pruned_loss=0.1137, over 1471716.48 frames. utt_duration=223 frames, utt_pad_proportion=0.07422, over 26569.61 utterances.], batch size: 306, lr: 2.80e-04
+2022-09-18 10:07:34,063 INFO [train.py:885] (1/2) Epoch 17, batch 200, loss[loss=0.28, simple_loss=0.3558, pruned_loss=0.1021, over 14333.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03685, over 195.00 utterances.], tot_loss[loss=0.294, simple_loss=0.3632, pruned_loss=0.1124, over 1758335.08 frames. utt_duration=216.6 frames, utt_pad_proportion=0.07596, over 32695.42 utterances.], batch size: 195, lr: 2.80e-04
+2022-09-18 10:08:03,256 INFO [train.py:885] (1/2) Epoch 17, batch 250, loss[loss=0.2549, simple_loss=0.3207, pruned_loss=0.09453, over 14156.00 frames. utt_duration=521 frames, utt_pad_proportion=0.04577, over 109.00 utterances.], tot_loss[loss=0.2978, simple_loss=0.3666, pruned_loss=0.1145, over 1984529.60 frames. utt_duration=215.1 frames, utt_pad_proportion=0.07695, over 37158.05 utterances.], batch size: 109, lr: 2.80e-04
+2022-09-18 10:08:32,045 INFO [train.py:885] (1/2) Epoch 17, batch 300, loss[loss=0.3904, simple_loss=0.4283, pruned_loss=0.1763, over 14285.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04113, over 262.00 utterances.], tot_loss[loss=0.2985, simple_loss=0.3658, pruned_loss=0.1156, over 2165968.31 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07379, over 38298.82 utterances.], batch size: 262, lr: 2.79e-04
+2022-09-18 10:09:01,376 INFO [train.py:885] (1/2) Epoch 17, batch 350, loss[loss=0.1912, simple_loss=0.2504, pruned_loss=0.06596, over 13428.00 frames. utt_duration=1312 frames, utt_pad_proportion=0.08217, over 41.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3581, pruned_loss=0.1116, over 2302296.30 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07213, over 38586.95 utterances.], batch size: 41, lr: 2.79e-04
+2022-09-18 10:09:31,532 INFO [train.py:885] (1/2) Epoch 17, batch 400, loss[loss=0.3315, simple_loss=0.3931, pruned_loss=0.1349, over 14370.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03299, over 244.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3532, pruned_loss=0.1095, over 2409400.14 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06929, over 38418.08 utterances.], batch size: 244, lr: 2.79e-04
+2022-09-18 10:10:01,346 INFO [train.py:885] (1/2) Epoch 17, batch 450, loss[loss=0.2084, simple_loss=0.2822, pruned_loss=0.06729, over 13732.00 frames. utt_duration=917.1 frames, utt_pad_proportion=0.07273, over 60.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3527, pruned_loss=0.1079, over 2491069.84 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06931, over 40146.38 utterances.], batch size: 60, lr: 2.79e-04
+2022-09-18 10:10:30,708 INFO [train.py:885] (1/2) Epoch 17, batch 500, loss[loss=0.2694, simple_loss=0.346, pruned_loss=0.09635, over 14327.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03789, over 195.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3558, pruned_loss=0.1092, over 2554911.09 frames. utt_duration=244.9 frames, utt_pad_proportion=0.06989, over 41981.59 utterances.], batch size: 195, lr: 2.79e-04
+2022-09-18 10:11:00,056 INFO [train.py:885] (1/2) Epoch 17, batch 550, loss[loss=0.2677, simple_loss=0.3313, pruned_loss=0.102, over 14280.00 frames. utt_duration=441 frames, utt_pad_proportion=0.03927, over 130.00 utterances.], tot_loss[loss=0.285, simple_loss=0.354, pruned_loss=0.108, over 2608199.94 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06833, over 41959.87 utterances.], batch size: 130, lr: 2.79e-04
+2022-09-18 10:11:29,849 INFO [train.py:885] (1/2) Epoch 17, batch 600, loss[loss=0.3267, simple_loss=0.4198, pruned_loss=0.1168, over 13641.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07995, over 477.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3586, pruned_loss=0.1106, over 2646977.64 frames. utt_duration=238.5 frames, utt_pad_proportion=0.06923, over 44673.92 utterances.], batch size: 477, lr: 2.79e-04
+2022-09-18 10:11:59,434 INFO [train.py:885] (1/2) Epoch 17, batch 650, loss[loss=0.2233, simple_loss=0.2823, pruned_loss=0.08217, over 13629.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.07406, over 50.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.359, pruned_loss=0.1098, over 2676623.18 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07095, over 45627.55 utterances.], batch size: 50, lr: 2.79e-04
+2022-09-18 10:12:29,238 INFO [train.py:885] (1/2) Epoch 17, batch 700, loss[loss=0.3116, simple_loss=0.3828, pruned_loss=0.1202, over 14330.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03907, over 262.00 utterances.], tot_loss[loss=0.2932, simple_loss=0.3613, pruned_loss=0.1125, over 2697888.10 frames. utt_duration=238.5 frames, utt_pad_proportion=0.06994, over 45528.37 utterances.], batch size: 262, lr: 2.79e-04
+2022-09-18 10:12:58,491 INFO [train.py:885] (1/2) Epoch 17, batch 750, loss[loss=0.3157, simple_loss=0.3828, pruned_loss=0.1243, over 14319.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0387, over 283.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3627, pruned_loss=0.1127, over 2714776.21 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07245, over 47164.98 utterances.], batch size: 283, lr: 2.79e-04
+2022-09-18 10:13:28,358 INFO [train.py:885] (1/2) Epoch 17, batch 800, loss[loss=0.29, simple_loss=0.3721, pruned_loss=0.104, over 13974.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05773, over 365.00 utterances.], tot_loss[loss=0.2945, simple_loss=0.3625, pruned_loss=0.1132, over 2729110.32 frames. utt_duration=230.8 frames, utt_pad_proportion=0.0732, over 47592.75 utterances.], batch size: 365, lr: 2.79e-04
+2022-09-18 10:13:57,596 INFO [train.py:885] (1/2) Epoch 17, batch 850, loss[loss=0.1668, simple_loss=0.2172, pruned_loss=0.05816, over 12916.00 frames. utt_duration=2068 frames, utt_pad_proportion=0.137, over 25.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3601, pruned_loss=0.1121, over 2741091.14 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07341, over 47010.78 utterances.], batch size: 25, lr: 2.79e-04
+2022-09-18 10:14:27,128 INFO [train.py:885] (1/2) Epoch 17, batch 900, loss[loss=0.247, simple_loss=0.3199, pruned_loss=0.08703, over 13205.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1045, over 33.00 utterances.], tot_loss[loss=0.2943, simple_loss=0.3622, pruned_loss=0.1132, over 2752557.12 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07307, over 47656.17 utterances.], batch size: 33, lr: 2.79e-04
+2022-09-18 10:14:56,731 INFO [train.py:885] (1/2) Epoch 17, batch 950, loss[loss=0.3049, simple_loss=0.3823, pruned_loss=0.1137, over 14360.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03552, over 210.00 utterances.], tot_loss[loss=0.2977, simple_loss=0.3652, pruned_loss=0.1151, over 2757524.91 frames. utt_duration=230.7 frames, utt_pad_proportion=0.07291, over 48114.54 utterances.], batch size: 210, lr: 2.79e-04
+2022-09-18 10:15:25,947 INFO [train.py:885] (1/2) Epoch 17, batch 1000, loss[loss=0.1872, simple_loss=0.2492, pruned_loss=0.06267, over 13067.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1147, over 33.00 utterances.], tot_loss[loss=0.298, simple_loss=0.3654, pruned_loss=0.1154, over 2760210.17 frames. utt_duration=228.2 frames, utt_pad_proportion=0.07339, over 48690.15 utterances.], batch size: 33, lr: 2.79e-04
+2022-09-18 10:15:55,642 INFO [train.py:885] (1/2) Epoch 17, batch 1050, loss[loss=0.2073, simple_loss=0.2735, pruned_loss=0.07057, over 14069.00 frames. utt_duration=713.7 frames, utt_pad_proportion=0.05594, over 79.00 utterances.], tot_loss[loss=0.2961, simple_loss=0.3638, pruned_loss=0.1142, over 2763501.27 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07278, over 47995.81 utterances.], batch size: 79, lr: 2.79e-04
+2022-09-18 10:16:24,848 INFO [train.py:885] (1/2) Epoch 17, batch 1100, loss[loss=0.4269, simple_loss=0.4483, pruned_loss=0.2027, over 14350.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03623, over 195.00 utterances.], tot_loss[loss=0.2953, simple_loss=0.3628, pruned_loss=0.1139, over 2772002.54 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07001, over 46605.76 utterances.], batch size: 195, lr: 2.79e-04
+2022-09-18 10:16:54,715 INFO [train.py:885] (1/2) Epoch 17, batch 1150, loss[loss=0.1653, simple_loss=0.2331, pruned_loss=0.0488, over 13810.00 frames. utt_duration=802.1 frames, utt_pad_proportion=0.06624, over 69.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.362, pruned_loss=0.1134, over 2774858.35 frames. utt_duration=239.8 frames, utt_pad_proportion=0.06955, over 46567.34 utterances.], batch size: 69, lr: 2.79e-04
+2022-09-18 10:17:23,699 INFO [train.py:885] (1/2) Epoch 17, batch 1200, loss[loss=0.2673, simple_loss=0.3417, pruned_loss=0.09647, over 14286.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.03888, over 130.00 utterances.], tot_loss[loss=0.2952, simple_loss=0.3629, pruned_loss=0.1137, over 2780115.41 frames. utt_duration=239.4 frames, utt_pad_proportion=0.06918, over 46742.86 utterances.], batch size: 130, lr: 2.79e-04
+2022-09-18 10:17:54,038 INFO [train.py:885] (1/2) Epoch 17, batch 1250, loss[loss=0.29, simple_loss=0.3363, pruned_loss=0.1219, over 14209.00 frames. utt_duration=640.2 frames, utt_pad_proportion=0.04592, over 89.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3585, pruned_loss=0.1114, over 2776704.96 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07004, over 45807.60 utterances.], batch size: 89, lr: 2.79e-04
+2022-09-18 10:18:23,040 INFO [train.py:885] (1/2) Epoch 17, batch 1300, loss[loss=0.3, simple_loss=0.3639, pruned_loss=0.118, over 14350.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03611, over 195.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3583, pruned_loss=0.112, over 2782474.18 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06903, over 45092.34 utterances.], batch size: 195, lr: 2.79e-04
+2022-09-18 10:18:52,840 INFO [train.py:885] (1/2) Epoch 17, batch 1350, loss[loss=0.272, simple_loss=0.3411, pruned_loss=0.1014, over 14304.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.03809, over 130.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3589, pruned_loss=0.1123, over 2785176.72 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06903, over 45055.67 utterances.], batch size: 130, lr: 2.79e-04
+2022-09-18 10:19:22,754 INFO [train.py:885] (1/2) Epoch 17, batch 1400, loss[loss=0.2283, simple_loss=0.2961, pruned_loss=0.08026, over 14160.00 frames. utt_duration=637.9 frames, utt_pad_proportion=0.04933, over 89.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3586, pruned_loss=0.1125, over 2784846.53 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06911, over 44880.85 utterances.], batch size: 89, lr: 2.79e-04
+2022-09-18 10:19:52,193 INFO [train.py:885] (1/2) Epoch 17, batch 1450, loss[loss=0.316, simple_loss=0.4206, pruned_loss=0.1057, over 13645.00 frames. utt_duration=98.83 frames, utt_pad_proportion=0.07635, over 560.00 utterances.], tot_loss[loss=0.2886, simple_loss=0.3567, pruned_loss=0.1103, over 2779435.11 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07158, over 46141.85 utterances.], batch size: 560, lr: 2.79e-04
+2022-09-18 10:20:21,860 INFO [train.py:885] (1/2) Epoch 17, batch 1500, loss[loss=0.3647, simple_loss=0.4151, pruned_loss=0.1571, over 14228.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04338, over 306.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3593, pruned_loss=0.1117, over 2784612.50 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07049, over 46461.60 utterances.], batch size: 306, lr: 2.79e-04
+2022-09-18 10:20:50,784 INFO [train.py:885] (1/2) Epoch 17, batch 1550, loss[loss=0.3502, simple_loss=0.4347, pruned_loss=0.1329, over 13614.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08293, over 477.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3553, pruned_loss=0.1096, over 2789625.95 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06903, over 44635.74 utterances.], batch size: 477, lr: 2.79e-04
+2022-09-18 10:21:21,198 INFO [train.py:885] (1/2) Epoch 17, batch 1600, loss[loss=0.1661, simple_loss=0.2222, pruned_loss=0.05501, over 13360.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08698, over 41.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3536, pruned_loss=0.1094, over 2784178.12 frames. utt_duration=255.9 frames, utt_pad_proportion=0.07081, over 43764.42 utterances.], batch size: 41, lr: 2.79e-04
+2022-09-18 10:21:50,615 INFO [train.py:885] (1/2) Epoch 17, batch 1650, loss[loss=0.271, simple_loss=0.3532, pruned_loss=0.0944, over 14301.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03876, over 180.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3544, pruned_loss=0.109, over 2785986.48 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06941, over 44187.77 utterances.], batch size: 180, lr: 2.79e-04
+2022-09-18 10:22:20,385 INFO [train.py:885] (1/2) Epoch 17, batch 1700, loss[loss=0.2662, simple_loss=0.3411, pruned_loss=0.09566, over 14311.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.0406, over 154.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.354, pruned_loss=0.1085, over 2784797.59 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07016, over 44350.72 utterances.], batch size: 154, lr: 2.79e-04
+2022-09-18 10:22:49,690 INFO [train.py:885] (1/2) Epoch 17, batch 1750, loss[loss=0.3936, simple_loss=0.4841, pruned_loss=0.1516, over 13194.00 frames. utt_duration=82.33 frames, utt_pad_proportion=0.1051, over 653.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3533, pruned_loss=0.1083, over 2782891.16 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06956, over 44338.70 utterances.], batch size: 653, lr: 2.78e-04
+2022-09-18 10:23:19,022 INFO [train.py:885] (1/2) Epoch 17, batch 1800, loss[loss=0.3484, simple_loss=0.4032, pruned_loss=0.1468, over 14226.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04343, over 306.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3525, pruned_loss=0.1077, over 2784659.73 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06979, over 44062.93 utterances.], batch size: 306, lr: 2.78e-04
+2022-09-18 10:23:49,239 INFO [train.py:885] (1/2) Epoch 17, batch 1850, loss[loss=0.3209, simple_loss=0.3865, pruned_loss=0.1277, over 14363.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03509, over 210.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3516, pruned_loss=0.1078, over 2787506.64 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06804, over 43528.52 utterances.], batch size: 210, lr: 2.78e-04
+2022-09-18 10:24:19,424 INFO [train.py:885] (1/2) Epoch 17, batch 1900, loss[loss=0.3129, simple_loss=0.3874, pruned_loss=0.1192, over 14332.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.03737, over 226.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3525, pruned_loss=0.1082, over 2786138.64 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06973, over 44069.37 utterances.], batch size: 226, lr: 2.78e-04
+2022-09-18 10:24:48,602 INFO [train.py:885] (1/2) Epoch 17, batch 1950, loss[loss=0.3472, simple_loss=0.4014, pruned_loss=0.1465, over 14189.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04527, over 306.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3534, pruned_loss=0.1088, over 2788884.01 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06837, over 44077.34 utterances.], batch size: 306, lr: 2.78e-04
+2022-09-18 10:25:18,400 INFO [train.py:885] (1/2) Epoch 17, batch 2000, loss[loss=0.2364, simple_loss=0.3101, pruned_loss=0.08134, over 14166.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04525, over 109.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3548, pruned_loss=0.1096, over 2786051.19 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06987, over 44855.41 utterances.], batch size: 109, lr: 2.78e-04
+2022-09-18 10:25:47,625 INFO [train.py:885] (1/2) Epoch 17, batch 2050, loss[loss=0.3494, simple_loss=0.4045, pruned_loss=0.1471, over 14216.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0436, over 306.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3541, pruned_loss=0.1092, over 2788593.46 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06927, over 44262.61 utterances.], batch size: 306, lr: 2.78e-04
+2022-09-18 10:26:18,232 INFO [train.py:885] (1/2) Epoch 17, batch 2100, loss[loss=0.2173, simple_loss=0.2818, pruned_loss=0.0764, over 14072.00 frames. utt_duration=575.9 frames, utt_pad_proportion=0.05439, over 98.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3541, pruned_loss=0.1089, over 2787838.02 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06918, over 43860.19 utterances.], batch size: 98, lr: 2.78e-04
+2022-09-18 10:26:47,435 INFO [train.py:885] (1/2) Epoch 17, batch 2150, loss[loss=0.3236, simple_loss=0.3838, pruned_loss=0.1317, over 14246.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04252, over 225.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3545, pruned_loss=0.1095, over 2785764.51 frames. utt_duration=255 frames, utt_pad_proportion=0.06936, over 43944.24 utterances.], batch size: 225, lr: 2.78e-04
+2022-09-18 10:27:17,286 INFO [train.py:885] (1/2) Epoch 17, batch 2200, loss[loss=0.3017, simple_loss=0.3772, pruned_loss=0.1131, over 14301.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.0393, over 283.00 utterances.], tot_loss[loss=0.2936, simple_loss=0.3614, pruned_loss=0.1128, over 2782199.83 frames. utt_duration=236 frames, utt_pad_proportion=0.07347, over 47451.35 utterances.], batch size: 283, lr: 2.78e-04
+2022-09-18 10:27:47,743 INFO [train.py:885] (1/2) Epoch 17, batch 2250, loss[loss=0.2073, simple_loss=0.2617, pruned_loss=0.07641, over 12212.00 frames. utt_duration=2036 frames, utt_pad_proportion=0.1818, over 24.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.3572, pruned_loss=0.1108, over 2779870.74 frames. utt_duration=244 frames, utt_pad_proportion=0.07326, over 45842.03 utterances.], batch size: 24, lr: 2.78e-04
+2022-09-18 10:28:17,197 INFO [train.py:885] (1/2) Epoch 17, batch 2300, loss[loss=0.2926, simple_loss=0.3619, pruned_loss=0.1116, over 14314.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03937, over 262.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3591, pruned_loss=0.1122, over 2777679.11 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07441, over 46604.64 utterances.], batch size: 262, lr: 2.78e-04
+2022-09-18 10:28:47,036 INFO [train.py:885] (1/2) Epoch 17, batch 2350, loss[loss=0.3417, simple_loss=0.4296, pruned_loss=0.1269, over 13661.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08119, over 478.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3602, pruned_loss=0.1137, over 2774959.64 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07555, over 47104.82 utterances.], batch size: 478, lr: 2.78e-04
+2022-09-18 10:29:15,929 INFO [train.py:885] (1/2) Epoch 17, batch 2400, loss[loss=0.3832, simple_loss=0.418, pruned_loss=0.1742, over 14233.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04257, over 335.00 utterances.], tot_loss[loss=0.2954, simple_loss=0.3625, pruned_loss=0.1142, over 2779592.56 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07257, over 48148.54 utterances.], batch size: 335, lr: 2.78e-04
+2022-09-18 10:29:46,378 INFO [train.py:885] (1/2) Epoch 17, batch 2450, loss[loss=0.2198, simple_loss=0.2723, pruned_loss=0.0836, over 13332.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.09054, over 41.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3583, pruned_loss=0.112, over 2776911.92 frames. utt_duration=239 frames, utt_pad_proportion=0.07137, over 46760.72 utterances.], batch size: 41, lr: 2.78e-04
+2022-09-18 10:30:15,782 INFO [train.py:885] (1/2) Epoch 17, batch 2500, loss[loss=0.1937, simple_loss=0.2723, pruned_loss=0.05757, over 14197.00 frames. utt_duration=812.7 frames, utt_pad_proportion=0.05164, over 70.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3557, pruned_loss=0.1099, over 2777910.17 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07094, over 46092.01 utterances.], batch size: 70, lr: 2.78e-04
+2022-09-18 10:30:45,702 INFO [train.py:885] (1/2) Epoch 17, batch 2550, loss[loss=0.667, simple_loss=0.6887, pruned_loss=0.3226, over 12521.00 frames. utt_duration=63.47 frames, utt_pad_proportion=0.1424, over 810.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3585, pruned_loss=0.112, over 2779348.78 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07124, over 46168.73 utterances.], batch size: 810, lr: 2.78e-04
+2022-09-18 10:31:15,287 INFO [train.py:885] (1/2) Epoch 17, batch 2600, loss[loss=0.4861, simple_loss=0.5078, pruned_loss=0.2322, over 14250.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04252, over 335.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3587, pruned_loss=0.1131, over 2779550.67 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07183, over 45779.81 utterances.], batch size: 335, lr: 2.78e-04
+2022-09-18 10:31:44,670 INFO [train.py:885] (1/2) Epoch 17, batch 2650, loss[loss=0.3308, simple_loss=0.3937, pruned_loss=0.1339, over 14332.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03797, over 283.00 utterances.], tot_loss[loss=0.2938, simple_loss=0.3605, pruned_loss=0.1135, over 2776743.55 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07296, over 46942.56 utterances.], batch size: 283, lr: 2.78e-04
+2022-09-18 10:32:14,502 INFO [train.py:885] (1/2) Epoch 17, batch 2700, loss[loss=0.2258, simple_loss=0.303, pruned_loss=0.07428, over 14050.00 frames. utt_duration=712.8 frames, utt_pad_proportion=0.05586, over 79.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3605, pruned_loss=0.1135, over 2775520.77 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07398, over 46855.54 utterances.], batch size: 79, lr: 2.78e-04
+2022-09-18 10:32:43,553 INFO [train.py:885] (1/2) Epoch 17, batch 2750, loss[loss=0.1923, simple_loss=0.2766, pruned_loss=0.05402, over 14013.00 frames. utt_duration=711 frames, utt_pad_proportion=0.05829, over 79.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3583, pruned_loss=0.113, over 2774523.95 frames. utt_duration=246 frames, utt_pad_proportion=0.0734, over 45379.02 utterances.], batch size: 79, lr: 2.78e-04
+2022-09-18 10:33:13,529 INFO [train.py:885] (1/2) Epoch 17, batch 2800, loss[loss=0.1832, simple_loss=0.2396, pruned_loss=0.06334, over 13261.00 frames. utt_duration=1609 frames, utt_pad_proportion=0.1098, over 33.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3569, pruned_loss=0.1116, over 2774297.75 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07313, over 45064.08 utterances.], batch size: 33, lr: 2.78e-04
+2022-09-18 10:33:42,695 INFO [train.py:885] (1/2) Epoch 17, batch 2850, loss[loss=0.2555, simple_loss=0.3048, pruned_loss=0.1031, over 14146.00 frames. utt_duration=717.7 frames, utt_pad_proportion=0.0507, over 79.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3538, pruned_loss=0.1097, over 2777224.29 frames. utt_duration=253.8 frames, utt_pad_proportion=0.07204, over 44022.04 utterances.], batch size: 79, lr: 2.78e-04
+2022-09-18 10:34:12,396 INFO [train.py:885] (1/2) Epoch 17, batch 2900, loss[loss=0.2631, simple_loss=0.3378, pruned_loss=0.0942, over 14313.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04122, over 167.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3562, pruned_loss=0.1109, over 2776749.68 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07249, over 45275.81 utterances.], batch size: 167, lr: 2.78e-04
+2022-09-18 10:34:42,004 INFO [train.py:885] (1/2) Epoch 17, batch 2950, loss[loss=0.3138, simple_loss=0.3815, pruned_loss=0.123, over 14334.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03794, over 283.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3537, pruned_loss=0.1097, over 2775702.51 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07248, over 44602.64 utterances.], batch size: 283, lr: 2.78e-04
+2022-09-18 10:35:12,056 INFO [train.py:885] (1/2) Epoch 17, batch 3000, loss[loss=0.2063, simple_loss=0.2501, pruned_loss=0.08126, over 12241.00 frames. utt_duration=2042 frames, utt_pad_proportion=0.1595, over 24.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.3567, pruned_loss=0.1115, over 2774526.77 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07349, over 45500.38 utterances.], batch size: 24, lr: 2.78e-04
+2022-09-18 10:35:12,057 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 10:35:16,211 INFO [train.py:914] (1/2) Epoch 17, validation: loss=0.1976, simple_loss=0.2769, pruned_loss=0.05919, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 10:35:45,061 INFO [train.py:885] (1/2) Epoch 17, batch 3050, loss[loss=0.2987, simple_loss=0.3729, pruned_loss=0.1122, over 14321.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03799, over 283.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3543, pruned_loss=0.11, over 2775770.97 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07328, over 44582.45 utterances.], batch size: 283, lr: 2.78e-04
+2022-09-18 10:36:14,578 INFO [train.py:885] (1/2) Epoch 17, batch 3100, loss[loss=0.2073, simple_loss=0.273, pruned_loss=0.07078, over 14056.00 frames. utt_duration=804.5 frames, utt_pad_proportion=0.06126, over 70.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.357, pruned_loss=0.1112, over 2780640.98 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07217, over 45732.74 utterances.], batch size: 70, lr: 2.78e-04
+2022-09-18 10:36:44,307 INFO [train.py:885] (1/2) Epoch 17, batch 3150, loss[loss=0.2059, simple_loss=0.2806, pruned_loss=0.06562, over 14056.00 frames. utt_duration=804.6 frames, utt_pad_proportion=0.06111, over 70.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3587, pruned_loss=0.1128, over 2783566.66 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07191, over 45766.97 utterances.], batch size: 70, lr: 2.78e-04
+2022-09-18 10:37:21,280 INFO [train.py:885] (1/2) Epoch 17, batch 3200, loss[loss=0.203, simple_loss=0.2802, pruned_loss=0.06294, over 14163.00 frames. utt_duration=638 frames, utt_pad_proportion=0.05065, over 89.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.362, pruned_loss=0.1137, over 2784665.79 frames. utt_duration=234.5 frames, utt_pad_proportion=0.0727, over 47795.79 utterances.], batch size: 89, lr: 2.78e-04
+2022-09-18 10:37:50,571 INFO [train.py:885] (1/2) Epoch 17, batch 3250, loss[loss=0.3307, simple_loss=0.4116, pruned_loss=0.1249, over 13772.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07104, over 411.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3617, pruned_loss=0.1134, over 2789724.72 frames. utt_duration=234.8 frames, utt_pad_proportion=0.06983, over 47824.29 utterances.], batch size: 411, lr: 2.77e-04
+2022-09-18 10:38:19,924 INFO [train.py:885] (1/2) Epoch 17, batch 3300, loss[loss=0.3311, simple_loss=0.4296, pruned_loss=0.1163, over 13594.00 frames. utt_duration=98.49 frames, utt_pad_proportion=0.07952, over 560.00 utterances.], tot_loss[loss=0.2994, simple_loss=0.3658, pruned_loss=0.1164, over 2786993.61 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07016, over 48552.85 utterances.], batch size: 560, lr: 2.77e-04
+2022-09-18 10:38:49,219 INFO [train.py:885] (1/2) Epoch 17, batch 3350, loss[loss=0.2597, simple_loss=0.3244, pruned_loss=0.09755, over 14181.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04428, over 109.00 utterances.], tot_loss[loss=0.294, simple_loss=0.361, pruned_loss=0.1135, over 2784964.66 frames. utt_duration=239.8 frames, utt_pad_proportion=0.06984, over 46750.57 utterances.], batch size: 109, lr: 2.77e-04
+2022-09-18 10:39:19,701 INFO [train.py:885] (1/2) Epoch 17, batch 3400, loss[loss=0.3216, simple_loss=0.3854, pruned_loss=0.1289, over 14321.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03887, over 283.00 utterances.], tot_loss[loss=0.2955, simple_loss=0.3622, pruned_loss=0.1143, over 2785108.50 frames. utt_duration=237.8 frames, utt_pad_proportion=0.06991, over 47141.15 utterances.], batch size: 283, lr: 2.77e-04
+2022-09-18 10:39:48,060 INFO [train.py:885] (1/2) Epoch 17, batch 3450, loss[loss=0.3998, simple_loss=0.4331, pruned_loss=0.1833, over 14263.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04177, over 335.00 utterances.], tot_loss[loss=0.2939, simple_loss=0.361, pruned_loss=0.1133, over 2785771.20 frames. utt_duration=237.5 frames, utt_pad_proportion=0.06998, over 47209.04 utterances.], batch size: 335, lr: 2.77e-04
+2022-09-18 10:40:17,798 INFO [train.py:885] (1/2) Epoch 17, batch 3500, loss[loss=0.1822, simple_loss=0.2439, pruned_loss=0.06023, over 13644.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.08198, over 42.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3566, pruned_loss=0.111, over 2783644.67 frames. utt_duration=247.2 frames, utt_pad_proportion=0.06944, over 45310.14 utterances.], batch size: 42, lr: 2.77e-04
+2022-09-18 10:40:47,455 INFO [train.py:885] (1/2) Epoch 17, batch 3550, loss[loss=0.2925, simple_loss=0.3549, pruned_loss=0.1151, over 14298.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.0414, over 154.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3562, pruned_loss=0.1102, over 2786969.50 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06942, over 45174.05 utterances.], batch size: 154, lr: 2.77e-04
+2022-09-18 10:41:17,099 INFO [train.py:885] (1/2) Epoch 17, batch 3600, loss[loss=0.3158, simple_loss=0.3775, pruned_loss=0.1271, over 14246.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04155, over 225.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3574, pruned_loss=0.1117, over 2788126.14 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06912, over 45652.15 utterances.], batch size: 225, lr: 2.77e-04
+2022-09-18 10:41:46,224 INFO [train.py:885] (1/2) Epoch 17, batch 3650, loss[loss=0.2215, simple_loss=0.298, pruned_loss=0.07247, over 14192.00 frames. utt_duration=639.2 frames, utt_pad_proportion=0.04593, over 89.00 utterances.], tot_loss[loss=0.2919, simple_loss=0.3589, pruned_loss=0.1124, over 2790295.21 frames. utt_duration=243.6 frames, utt_pad_proportion=0.06839, over 46098.74 utterances.], batch size: 89, lr: 2.77e-04
+2022-09-18 10:42:15,476 INFO [train.py:885] (1/2) Epoch 17, batch 3700, loss[loss=0.3461, simple_loss=0.4374, pruned_loss=0.1274, over 13605.00 frames. utt_duration=98.52 frames, utt_pad_proportion=0.07922, over 560.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3563, pruned_loss=0.1104, over 2783667.63 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06898, over 45289.71 utterances.], batch size: 560, lr: 2.77e-04
+2022-09-18 10:42:45,447 INFO [train.py:885] (1/2) Epoch 17, batch 3750, loss[loss=0.4052, simple_loss=0.4923, pruned_loss=0.159, over 13170.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3585, pruned_loss=0.1115, over 2781219.83 frames. utt_duration=239 frames, utt_pad_proportion=0.07244, over 46835.64 utterances.], batch size: 653, lr: 2.77e-04
+2022-09-18 10:43:14,625 INFO [train.py:885] (1/2) Epoch 17, batch 3800, loss[loss=0.2865, simple_loss=0.3645, pruned_loss=0.1042, over 14259.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.041, over 180.00 utterances.], tot_loss[loss=0.2909, simple_loss=0.3587, pruned_loss=0.1115, over 2783370.94 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07126, over 46807.44 utterances.], batch size: 180, lr: 2.77e-04
+2022-09-18 10:43:44,187 INFO [train.py:885] (1/2) Epoch 17, batch 3850, loss[loss=0.3258, simple_loss=0.4248, pruned_loss=0.1134, over 13619.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.0774, over 560.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3599, pruned_loss=0.1126, over 2782572.40 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07143, over 46877.01 utterances.], batch size: 560, lr: 2.77e-04
+2022-09-18 10:44:13,963 INFO [train.py:885] (1/2) Epoch 17, batch 3900, loss[loss=0.143, simple_loss=0.1937, pruned_loss=0.04619, over 13060.00 frames. utt_duration=1584 frames, utt_pad_proportion=0.1154, over 33.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3592, pruned_loss=0.1125, over 2784003.75 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07139, over 46547.70 utterances.], batch size: 33, lr: 2.77e-04
+2022-09-18 10:44:43,170 INFO [train.py:885] (1/2) Epoch 17, batch 3950, loss[loss=0.289, simple_loss=0.3664, pruned_loss=0.1058, over 14366.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03264, over 244.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.358, pruned_loss=0.1115, over 2782037.65 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07133, over 46126.43 utterances.], batch size: 244, lr: 2.77e-04
+2022-09-18 10:45:12,518 INFO [train.py:885] (1/2) Epoch 17, batch 4000, loss[loss=0.3265, simple_loss=0.4101, pruned_loss=0.1215, over 13788.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07268, over 412.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3543, pruned_loss=0.1097, over 2779175.91 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07066, over 45312.90 utterances.], batch size: 412, lr: 2.77e-04
+2022-09-18 10:45:42,244 INFO [train.py:885] (1/2) Epoch 17, batch 4050, loss[loss=0.2516, simple_loss=0.3269, pruned_loss=0.08811, over 14329.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.0363, over 130.00 utterances.], tot_loss[loss=0.2894, simple_loss=0.357, pruned_loss=0.1109, over 2778185.85 frames. utt_duration=239 frames, utt_pad_proportion=0.0732, over 46776.94 utterances.], batch size: 130, lr: 2.77e-04
+2022-09-18 10:46:11,727 INFO [train.py:885] (1/2) Epoch 17, batch 4100, loss[loss=0.2944, simple_loss=0.3396, pruned_loss=0.1246, over 14154.00 frames. utt_duration=579 frames, utt_pad_proportion=0.04926, over 98.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3552, pruned_loss=0.1103, over 2779737.35 frames. utt_duration=246.8 frames, utt_pad_proportion=0.071, over 45319.15 utterances.], batch size: 98, lr: 2.77e-04
+2022-09-18 10:46:40,842 INFO [train.py:885] (1/2) Epoch 17, batch 4150, loss[loss=0.3164, simple_loss=0.3727, pruned_loss=0.1301, over 14317.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03822, over 195.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3549, pruned_loss=0.1101, over 2782692.05 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07083, over 45391.61 utterances.], batch size: 195, lr: 2.77e-04
+2022-09-18 10:47:10,445 INFO [train.py:885] (1/2) Epoch 17, batch 4200, loss[loss=0.3048, simple_loss=0.402, pruned_loss=0.1038, over 13693.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07694, over 477.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3549, pruned_loss=0.1098, over 2778050.12 frames. utt_duration=242 frames, utt_pad_proportion=0.07296, over 46195.35 utterances.], batch size: 477, lr: 2.77e-04
+2022-09-18 10:47:39,880 INFO [train.py:885] (1/2) Epoch 17, batch 4250, loss[loss=0.3156, simple_loss=0.3784, pruned_loss=0.1264, over 14284.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03963, over 225.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3553, pruned_loss=0.1098, over 2779467.08 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07344, over 46251.05 utterances.], batch size: 225, lr: 2.77e-04
+2022-09-18 10:48:09,794 INFO [train.py:885] (1/2) Epoch 17, batch 4300, loss[loss=0.2468, simple_loss=0.3243, pruned_loss=0.08458, over 14392.00 frames. utt_duration=346.2 frames, utt_pad_proportion=0.03561, over 167.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3527, pruned_loss=0.1085, over 2776391.56 frames. utt_duration=249 frames, utt_pad_proportion=0.07246, over 44859.62 utterances.], batch size: 167, lr: 2.77e-04
+2022-09-18 10:48:38,885 INFO [train.py:885] (1/2) Epoch 17, batch 4350, loss[loss=0.3288, simple_loss=0.4218, pruned_loss=0.1179, over 13575.00 frames. utt_duration=98.34 frames, utt_pad_proportion=0.08097, over 560.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3529, pruned_loss=0.1087, over 2777041.61 frames. utt_duration=248.2 frames, utt_pad_proportion=0.0733, over 45022.30 utterances.], batch size: 560, lr: 2.77e-04
+2022-09-18 10:49:08,734 INFO [train.py:885] (1/2) Epoch 17, batch 4400, loss[loss=0.6092, simple_loss=0.665, pruned_loss=0.2767, over 12434.00 frames. utt_duration=63 frames, utt_pad_proportion=0.1486, over 810.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3571, pruned_loss=0.1106, over 2779461.37 frames. utt_duration=241.6 frames, utt_pad_proportion=0.0738, over 46306.54 utterances.], batch size: 810, lr: 2.77e-04
+2022-09-18 10:49:38,380 INFO [train.py:885] (1/2) Epoch 17, batch 4450, loss[loss=0.335, simple_loss=0.3978, pruned_loss=0.136, over 14321.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03862, over 283.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3564, pruned_loss=0.1098, over 2780274.18 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07327, over 45885.60 utterances.], batch size: 283, lr: 2.77e-04
+2022-09-18 10:50:07,587 INFO [train.py:885] (1/2) Epoch 17, batch 4500, loss[loss=0.3109, simple_loss=0.4024, pruned_loss=0.1097, over 13763.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07109, over 411.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3539, pruned_loss=0.1089, over 2774369.80 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07397, over 45476.97 utterances.], batch size: 411, lr: 2.77e-04
+2022-09-18 10:50:36,513 INFO [train.py:885] (1/2) Epoch 17, batch 4550, loss[loss=0.1637, simple_loss=0.2314, pruned_loss=0.04797, over 13257.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.09603, over 41.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3546, pruned_loss=0.1093, over 2776801.44 frames. utt_duration=245.6 frames, utt_pad_proportion=0.0726, over 45493.72 utterances.], batch size: 41, lr: 2.77e-04
+2022-09-18 10:51:06,287 INFO [train.py:885] (1/2) Epoch 17, batch 4600, loss[loss=0.1742, simple_loss=0.2222, pruned_loss=0.06313, over 13865.00 frames. utt_duration=925.6 frames, utt_pad_proportion=0.07072, over 60.00 utterances.], tot_loss[loss=0.2925, simple_loss=0.3607, pruned_loss=0.1122, over 2776137.74 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07459, over 48350.83 utterances.], batch size: 60, lr: 2.77e-04
+2022-09-18 10:51:36,848 INFO [train.py:885] (1/2) Epoch 17, batch 4650, loss[loss=0.2176, simple_loss=0.2876, pruned_loss=0.0738, over 14038.00 frames. utt_duration=712.4 frames, utt_pad_proportion=0.05772, over 79.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3629, pruned_loss=0.1126, over 2777433.79 frames. utt_duration=226 frames, utt_pad_proportion=0.0749, over 49472.52 utterances.], batch size: 79, lr: 2.77e-04
+2022-09-18 10:52:06,757 INFO [train.py:885] (1/2) Epoch 17, batch 4700, loss[loss=0.2619, simple_loss=0.3403, pruned_loss=0.09178, over 14337.00 frames. utt_duration=374 frames, utt_pad_proportion=0.03864, over 154.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3647, pruned_loss=0.1132, over 2778188.37 frames. utt_duration=225.8 frames, utt_pad_proportion=0.07409, over 49532.44 utterances.], batch size: 154, lr: 2.76e-04
+2022-09-18 10:52:36,272 INFO [train.py:885] (1/2) Epoch 17, batch 4750, loss[loss=0.2444, simple_loss=0.3033, pruned_loss=0.09269, over 13662.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.07703, over 50.00 utterances.], tot_loss[loss=0.2956, simple_loss=0.3643, pruned_loss=0.1134, over 2779238.61 frames. utt_duration=228.5 frames, utt_pad_proportion=0.0737, over 48968.37 utterances.], batch size: 50, lr: 2.76e-04
+2022-09-18 10:53:05,756 INFO [train.py:885] (1/2) Epoch 17, batch 4800, loss[loss=0.4633, simple_loss=0.5319, pruned_loss=0.1973, over 13182.00 frames. utt_duration=82.24 frames, utt_pad_proportion=0.1061, over 653.00 utterances.], tot_loss[loss=0.2977, simple_loss=0.3659, pruned_loss=0.1148, over 2775453.33 frames. utt_duration=227.3 frames, utt_pad_proportion=0.07491, over 49168.51 utterances.], batch size: 653, lr: 2.76e-04
+2022-09-18 10:53:35,285 INFO [train.py:885] (1/2) Epoch 17, batch 4850, loss[loss=0.2996, simple_loss=0.4035, pruned_loss=0.0979, over 13675.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07825, over 477.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.3621, pruned_loss=0.1124, over 2778910.52 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07261, over 48145.05 utterances.], batch size: 477, lr: 2.76e-04
+2022-09-18 10:54:03,871 INFO [train.py:885] (1/2) Epoch 17, batch 4900, loss[loss=0.1525, simple_loss=0.2212, pruned_loss=0.04188, over 13007.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.1243, over 33.00 utterances.], tot_loss[loss=0.2944, simple_loss=0.3631, pruned_loss=0.1129, over 2774985.64 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07442, over 49069.43 utterances.], batch size: 33, lr: 2.76e-04
+2022-09-18 10:54:34,513 INFO [train.py:885] (1/2) Epoch 17, batch 4950, loss[loss=0.2656, simple_loss=0.3271, pruned_loss=0.102, over 14304.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03984, over 120.00 utterances.], tot_loss[loss=0.2948, simple_loss=0.3636, pruned_loss=0.1131, over 2779321.82 frames. utt_duration=230.5 frames, utt_pad_proportion=0.07257, over 48550.91 utterances.], batch size: 120, lr: 2.76e-04
+2022-09-18 10:55:03,299 INFO [train.py:885] (1/2) Epoch 17, batch 5000, loss[loss=0.4168, simple_loss=0.4536, pruned_loss=0.1899, over 14333.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.03737, over 226.00 utterances.], tot_loss[loss=0.2942, simple_loss=0.3621, pruned_loss=0.1131, over 2785223.34 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07122, over 47455.49 utterances.], batch size: 226, lr: 2.76e-04
+2022-09-18 10:55:32,872 INFO [train.py:885] (1/2) Epoch 17, batch 5050, loss[loss=0.3457, simple_loss=0.424, pruned_loss=0.1337, over 13780.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07094, over 411.00 utterances.], tot_loss[loss=0.2927, simple_loss=0.3602, pruned_loss=0.1125, over 2786512.36 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07017, over 46314.42 utterances.], batch size: 411, lr: 2.76e-04
+2022-09-18 10:56:02,350 INFO [train.py:885] (1/2) Epoch 17, batch 5100, loss[loss=0.3102, simple_loss=0.3806, pruned_loss=0.1199, over 14231.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04223, over 306.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3582, pruned_loss=0.1117, over 2783886.52 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06945, over 45761.33 utterances.], batch size: 306, lr: 2.76e-04
+2022-09-18 10:56:31,639 INFO [train.py:885] (1/2) Epoch 17, batch 5150, loss[loss=0.2997, simple_loss=0.387, pruned_loss=0.1062, over 13852.00 frames. utt_duration=136.3 frames, utt_pad_proportion=0.06628, over 411.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3562, pruned_loss=0.1105, over 2785039.31 frames. utt_duration=247.9 frames, utt_pad_proportion=0.0699, over 45212.07 utterances.], batch size: 411, lr: 2.76e-04
+2022-09-18 10:57:01,210 INFO [train.py:885] (1/2) Epoch 17, batch 5200, loss[loss=0.2113, simple_loss=0.2988, pruned_loss=0.06192, over 14310.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03749, over 130.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3544, pruned_loss=0.1097, over 2778962.33 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07226, over 45186.44 utterances.], batch size: 130, lr: 2.76e-04
+2022-09-18 10:57:31,421 INFO [train.py:885] (1/2) Epoch 17, batch 5250, loss[loss=0.4751, simple_loss=0.511, pruned_loss=0.2195, over 13991.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05626, over 365.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3589, pruned_loss=0.111, over 2777760.59 frames. utt_duration=234.1 frames, utt_pad_proportion=0.073, over 47760.34 utterances.], batch size: 365, lr: 2.76e-04
+2022-09-18 10:58:00,620 INFO [train.py:885] (1/2) Epoch 17, batch 5300, loss[loss=0.1878, simple_loss=0.2677, pruned_loss=0.0539, over 13594.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.08212, over 42.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3564, pruned_loss=0.1099, over 2782542.79 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07163, over 46638.28 utterances.], batch size: 42, lr: 2.76e-04
+2022-09-18 10:58:29,834 INFO [train.py:885] (1/2) Epoch 17, batch 5350, loss[loss=0.2895, simple_loss=0.3645, pruned_loss=0.1073, over 14327.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03868, over 244.00 utterances.], tot_loss[loss=0.2898, simple_loss=0.358, pruned_loss=0.1108, over 2780780.77 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07292, over 47084.44 utterances.], batch size: 244, lr: 2.76e-04
+2022-09-18 10:58:59,210 INFO [train.py:885] (1/2) Epoch 17, batch 5400, loss[loss=0.2816, simple_loss=0.3521, pruned_loss=0.1055, over 14331.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04023, over 167.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3583, pruned_loss=0.1105, over 2777868.83 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07462, over 47712.22 utterances.], batch size: 167, lr: 2.76e-04
+2022-09-18 10:59:28,746 INFO [train.py:885] (1/2) Epoch 17, batch 5450, loss[loss=0.3724, simple_loss=0.4198, pruned_loss=0.1625, over 14257.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04179, over 335.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3589, pruned_loss=0.1111, over 2780069.34 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07375, over 48101.38 utterances.], batch size: 335, lr: 2.76e-04
+2022-09-18 10:59:57,832 INFO [train.py:885] (1/2) Epoch 17, batch 5500, loss[loss=0.1732, simple_loss=0.2238, pruned_loss=0.06128, over 12413.00 frames. utt_duration=1988 frames, utt_pad_proportion=0.1513, over 25.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3575, pruned_loss=0.1102, over 2780416.01 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07259, over 47496.26 utterances.], batch size: 25, lr: 2.76e-04
+2022-09-18 11:00:27,831 INFO [train.py:885] (1/2) Epoch 17, batch 5550, loss[loss=0.4797, simple_loss=0.5682, pruned_loss=0.1956, over 12441.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 810.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3613, pruned_loss=0.1116, over 2777439.59 frames. utt_duration=226 frames, utt_pad_proportion=0.07511, over 49482.92 utterances.], batch size: 810, lr: 2.76e-04
+2022-09-18 11:00:56,909 INFO [train.py:885] (1/2) Epoch 17, batch 5600, loss[loss=0.2038, simple_loss=0.2695, pruned_loss=0.06902, over 14020.00 frames. utt_duration=711.4 frames, utt_pad_proportion=0.05522, over 79.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3604, pruned_loss=0.111, over 2778657.37 frames. utt_duration=227.6 frames, utt_pad_proportion=0.0759, over 49163.62 utterances.], batch size: 79, lr: 2.76e-04
+2022-09-18 11:01:25,467 INFO [train.py:885] (1/2) Epoch 17, batch 5650, loss[loss=0.1926, simple_loss=0.2638, pruned_loss=0.06076, over 13691.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07919, over 50.00 utterances.], tot_loss[loss=0.2886, simple_loss=0.3572, pruned_loss=0.11, over 2785559.50 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07349, over 46814.82 utterances.], batch size: 50, lr: 2.76e-04
+2022-09-18 11:01:55,439 INFO [train.py:885] (1/2) Epoch 17, batch 5700, loss[loss=0.2891, simple_loss=0.3868, pruned_loss=0.09573, over 13781.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07106, over 411.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3585, pruned_loss=0.1106, over 2782064.08 frames. utt_duration=233.8 frames, utt_pad_proportion=0.0741, over 47903.95 utterances.], batch size: 411, lr: 2.76e-04
+2022-09-18 11:02:24,523 INFO [train.py:885] (1/2) Epoch 17, batch 5750, loss[loss=0.2786, simple_loss=0.3778, pruned_loss=0.08967, over 14001.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.056, over 365.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3572, pruned_loss=0.1103, over 2782263.96 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07224, over 47224.70 utterances.], batch size: 365, lr: 2.76e-04
+2022-09-18 11:02:54,473 INFO [train.py:885] (1/2) Epoch 17, batch 5800, loss[loss=0.2269, simple_loss=0.2867, pruned_loss=0.08352, over 13911.00 frames. utt_duration=705.6 frames, utt_pad_proportion=0.06425, over 79.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.3571, pruned_loss=0.1102, over 2780772.56 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07236, over 46870.39 utterances.], batch size: 79, lr: 2.76e-04
+2022-09-18 11:03:23,537 INFO [train.py:885] (1/2) Epoch 17, batch 5850, loss[loss=0.1936, simple_loss=0.2582, pruned_loss=0.06455, over 13813.00 frames. utt_duration=802 frames, utt_pad_proportion=0.06634, over 69.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3559, pruned_loss=0.1091, over 2779101.38 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07225, over 46441.28 utterances.], batch size: 69, lr: 2.76e-04
+2022-09-18 11:03:53,884 INFO [train.py:885] (1/2) Epoch 17, batch 5900, loss[loss=0.3348, simple_loss=0.4056, pruned_loss=0.132, over 14338.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03449, over 244.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3549, pruned_loss=0.1098, over 2783015.55 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06995, over 45099.67 utterances.], batch size: 244, lr: 2.76e-04
+2022-09-18 11:04:23,289 INFO [train.py:885] (1/2) Epoch 17, batch 5950, loss[loss=0.1903, simple_loss=0.2501, pruned_loss=0.06523, over 13515.00 frames. utt_duration=1320 frames, utt_pad_proportion=0.07685, over 41.00 utterances.], tot_loss[loss=0.284, simple_loss=0.352, pruned_loss=0.108, over 2782112.78 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06933, over 44011.99 utterances.], batch size: 41, lr: 2.76e-04
+2022-09-18 11:04:52,967 INFO [train.py:885] (1/2) Epoch 17, batch 6000, loss[loss=0.2356, simple_loss=0.3032, pruned_loss=0.08395, over 14245.00 frames. utt_duration=524.1 frames, utt_pad_proportion=0.04007, over 109.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3522, pruned_loss=0.1084, over 2783463.48 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06893, over 44294.47 utterances.], batch size: 109, lr: 2.76e-04
+2022-09-18 11:04:52,968 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 11:04:57,191 INFO [train.py:914] (1/2) Epoch 17, validation: loss=0.1992, simple_loss=0.2768, pruned_loss=0.06084, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 11:05:26,329 INFO [train.py:885] (1/2) Epoch 17, batch 6050, loss[loss=0.2755, simple_loss=0.3421, pruned_loss=0.1044, over 14304.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03834, over 180.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3522, pruned_loss=0.1084, over 2780482.85 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06977, over 44180.93 utterances.], batch size: 180, lr: 2.76e-04
+2022-09-18 11:05:56,711 INFO [train.py:885] (1/2) Epoch 17, batch 6100, loss[loss=0.1948, simple_loss=0.2732, pruned_loss=0.05821, over 13802.00 frames. utt_duration=921.5 frames, utt_pad_proportion=0.06827, over 60.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3521, pruned_loss=0.1072, over 2779929.97 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06977, over 44966.31 utterances.], batch size: 60, lr: 2.76e-04
+2022-09-18 11:06:26,385 INFO [train.py:885] (1/2) Epoch 17, batch 6150, loss[loss=0.4995, simple_loss=0.5117, pruned_loss=0.2437, over 14177.00 frames. utt_duration=186.9 frames, utt_pad_proportion=0.04625, over 306.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3525, pruned_loss=0.1074, over 2777379.59 frames. utt_duration=246 frames, utt_pad_proportion=0.07146, over 45425.42 utterances.], batch size: 306, lr: 2.76e-04
+2022-09-18 11:06:55,868 INFO [train.py:885] (1/2) Epoch 17, batch 6200, loss[loss=0.2015, simple_loss=0.2827, pruned_loss=0.06015, over 14179.00 frames. utt_duration=638.8 frames, utt_pad_proportion=0.04806, over 89.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3537, pruned_loss=0.1078, over 2777258.71 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07264, over 45789.00 utterances.], batch size: 89, lr: 2.75e-04
+2022-09-18 11:07:26,447 INFO [train.py:885] (1/2) Epoch 17, batch 6250, loss[loss=0.2212, simple_loss=0.2824, pruned_loss=0.08002, over 13909.00 frames. utt_duration=807.8 frames, utt_pad_proportion=0.05956, over 69.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3569, pruned_loss=0.1098, over 2780711.93 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07215, over 46510.55 utterances.], batch size: 69, lr: 2.75e-04
+2022-09-18 11:07:55,750 INFO [train.py:885] (1/2) Epoch 17, batch 6300, loss[loss=0.3822, simple_loss=0.4317, pruned_loss=0.1663, over 14229.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04328, over 306.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3596, pruned_loss=0.1119, over 2776565.55 frames. utt_duration=236 frames, utt_pad_proportion=0.07344, over 47351.84 utterances.], batch size: 306, lr: 2.75e-04
+2022-09-18 11:08:26,002 INFO [train.py:885] (1/2) Epoch 17, batch 6350, loss[loss=0.3975, simple_loss=0.4596, pruned_loss=0.1676, over 14010.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05466, over 365.00 utterances.], tot_loss[loss=0.2922, simple_loss=0.3597, pruned_loss=0.1124, over 2775756.43 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07336, over 47040.50 utterances.], batch size: 365, lr: 2.75e-04
+2022-09-18 11:08:55,432 INFO [train.py:885] (1/2) Epoch 17, batch 6400, loss[loss=0.2697, simple_loss=0.3449, pruned_loss=0.09731, over 14359.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03565, over 195.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3597, pruned_loss=0.112, over 2781954.43 frames. utt_duration=238 frames, utt_pad_proportion=0.07179, over 47049.09 utterances.], batch size: 195, lr: 2.75e-04
+2022-09-18 11:09:25,468 INFO [train.py:885] (1/2) Epoch 17, batch 6450, loss[loss=0.3178, simple_loss=0.3818, pruned_loss=0.1269, over 14312.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03847, over 195.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3583, pruned_loss=0.1114, over 2780989.25 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07171, over 46034.87 utterances.], batch size: 195, lr: 2.75e-04
+2022-09-18 11:09:54,820 INFO [train.py:885] (1/2) Epoch 17, batch 6500, loss[loss=0.2235, simple_loss=0.2922, pruned_loss=0.07737, over 14324.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03845, over 120.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.352, pruned_loss=0.1077, over 2783408.20 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07014, over 44319.55 utterances.], batch size: 120, lr: 2.75e-04
+2022-09-18 11:10:24,778 INFO [train.py:885] (1/2) Epoch 17, batch 6550, loss[loss=0.3854, simple_loss=0.4225, pruned_loss=0.1742, over 14249.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04246, over 335.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3531, pruned_loss=0.1086, over 2778492.31 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07092, over 45132.22 utterances.], batch size: 335, lr: 2.75e-04
+2022-09-18 11:10:54,585 INFO [train.py:885] (1/2) Epoch 17, batch 6600, loss[loss=0.3317, simple_loss=0.3962, pruned_loss=0.1336, over 14181.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04614, over 306.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3521, pruned_loss=0.1081, over 2778840.42 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07133, over 44702.59 utterances.], batch size: 306, lr: 2.75e-04
+2022-09-18 11:11:23,891 INFO [train.py:885] (1/2) Epoch 17, batch 6650, loss[loss=0.2291, simple_loss=0.311, pruned_loss=0.0736, over 14293.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04352, over 110.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3544, pruned_loss=0.1086, over 2782067.57 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07018, over 45776.60 utterances.], batch size: 110, lr: 2.75e-04
+2022-09-18 11:11:53,322 INFO [train.py:885] (1/2) Epoch 17, batch 6700, loss[loss=0.2369, simple_loss=0.3018, pruned_loss=0.08595, over 14038.00 frames. utt_duration=712.5 frames, utt_pad_proportion=0.05633, over 79.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3556, pruned_loss=0.1093, over 2778957.89 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07292, over 46056.94 utterances.], batch size: 79, lr: 2.75e-04
+2022-09-18 11:12:22,575 INFO [train.py:885] (1/2) Epoch 17, batch 6750, loss[loss=0.2563, simple_loss=0.3286, pruned_loss=0.09198, over 14264.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04471, over 141.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3545, pruned_loss=0.1091, over 2779001.90 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07149, over 45394.09 utterances.], batch size: 141, lr: 2.75e-04
+2022-09-18 11:12:52,361 INFO [train.py:885] (1/2) Epoch 17, batch 6800, loss[loss=0.1612, simple_loss=0.214, pruned_loss=0.05424, over 13521.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08721, over 50.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.351, pruned_loss=0.1077, over 2777941.67 frames. utt_duration=255.7 frames, utt_pad_proportion=0.07022, over 43708.68 utterances.], batch size: 50, lr: 2.75e-04
+2022-09-18 11:13:21,439 INFO [train.py:885] (1/2) Epoch 17, batch 6850, loss[loss=0.3208, simple_loss=0.3838, pruned_loss=0.1289, over 14288.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.0409, over 262.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3538, pruned_loss=0.1089, over 2776419.49 frames. utt_duration=245 frames, utt_pad_proportion=0.07234, over 45611.66 utterances.], batch size: 262, lr: 2.75e-04
+2022-09-18 11:13:51,503 INFO [train.py:885] (1/2) Epoch 17, batch 6900, loss[loss=0.2991, simple_loss=0.4038, pruned_loss=0.09722, over 13622.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.07737, over 560.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3555, pruned_loss=0.1098, over 2779175.30 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07235, over 45862.76 utterances.], batch size: 560, lr: 2.75e-04
+2022-09-18 11:14:21,031 INFO [train.py:885] (1/2) Epoch 17, batch 6950, loss[loss=0.2609, simple_loss=0.3118, pruned_loss=0.105, over 14148.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04631, over 109.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3526, pruned_loss=0.1087, over 2781765.94 frames. utt_duration=250.2 frames, utt_pad_proportion=0.0707, over 44741.72 utterances.], batch size: 109, lr: 2.75e-04
+2022-09-18 11:14:50,918 INFO [train.py:885] (1/2) Epoch 17, batch 7000, loss[loss=0.2377, simple_loss=0.3268, pruned_loss=0.07429, over 14286.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04267, over 154.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3578, pruned_loss=0.1113, over 2780085.62 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07269, over 46307.94 utterances.], batch size: 154, lr: 2.75e-04
+2022-09-18 11:15:20,300 INFO [train.py:885] (1/2) Epoch 17, batch 7050, loss[loss=0.4561, simple_loss=0.5502, pruned_loss=0.181, over 12457.00 frames. utt_duration=63.08 frames, utt_pad_proportion=0.1475, over 810.00 utterances.], tot_loss[loss=0.2929, simple_loss=0.3606, pruned_loss=0.1126, over 2782136.89 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07256, over 47566.18 utterances.], batch size: 810, lr: 2.75e-04
+2022-09-18 11:15:49,857 INFO [train.py:885] (1/2) Epoch 17, batch 7100, loss[loss=0.2225, simple_loss=0.2947, pruned_loss=0.0751, over 14160.00 frames. utt_duration=638 frames, utt_pad_proportion=0.04918, over 89.00 utterances.], tot_loss[loss=0.2903, simple_loss=0.3582, pruned_loss=0.1112, over 2786849.96 frames. utt_duration=241.8 frames, utt_pad_proportion=0.0701, over 46380.84 utterances.], batch size: 89, lr: 2.75e-04
+2022-09-18 11:16:19,063 INFO [train.py:885] (1/2) Epoch 17, batch 7150, loss[loss=0.1915, simple_loss=0.2535, pruned_loss=0.06479, over 13742.00 frames. utt_duration=917.7 frames, utt_pad_proportion=0.07492, over 60.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3584, pruned_loss=0.1113, over 2784908.41 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07047, over 46800.96 utterances.], batch size: 60, lr: 2.75e-04
+2022-09-18 11:16:48,402 INFO [train.py:885] (1/2) Epoch 17, batch 7200, loss[loss=0.2871, simple_loss=0.3752, pruned_loss=0.09945, over 13769.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07211, over 411.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3576, pruned_loss=0.1114, over 2784869.07 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07046, over 46158.24 utterances.], batch size: 411, lr: 2.75e-04
+2022-09-18 11:17:18,313 INFO [train.py:885] (1/2) Epoch 17, batch 7250, loss[loss=0.1671, simple_loss=0.2343, pruned_loss=0.04997, over 13233.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.09538, over 41.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3551, pruned_loss=0.1094, over 2785992.61 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06906, over 45279.88 utterances.], batch size: 41, lr: 2.75e-04
+2022-09-18 11:17:47,890 INFO [train.py:885] (1/2) Epoch 17, batch 7300, loss[loss=0.2615, simple_loss=0.3224, pruned_loss=0.1004, over 14246.00 frames. utt_duration=476.2 frames, utt_pad_proportion=0.04175, over 120.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3549, pruned_loss=0.1096, over 2784135.29 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07138, over 45306.19 utterances.], batch size: 120, lr: 2.75e-04
+2022-09-18 11:18:17,974 INFO [train.py:885] (1/2) Epoch 17, batch 7350, loss[loss=0.283, simple_loss=0.3418, pruned_loss=0.1121, over 14157.00 frames. utt_duration=520.8 frames, utt_pad_proportion=0.04616, over 109.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3582, pruned_loss=0.1119, over 2787015.23 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07086, over 45483.15 utterances.], batch size: 109, lr: 2.75e-04
+2022-09-18 11:18:47,647 INFO [train.py:885] (1/2) Epoch 17, batch 7400, loss[loss=0.2688, simple_loss=0.3271, pruned_loss=0.1052, over 14310.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.04093, over 120.00 utterances.], tot_loss[loss=0.2933, simple_loss=0.3613, pruned_loss=0.1127, over 2786590.38 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07125, over 47242.06 utterances.], batch size: 120, lr: 2.75e-04
+2022-09-18 11:19:17,245 INFO [train.py:885] (1/2) Epoch 17, batch 7450, loss[loss=0.274, simple_loss=0.35, pruned_loss=0.09897, over 14312.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03777, over 180.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3596, pruned_loss=0.1114, over 2780966.55 frames. utt_duration=238 frames, utt_pad_proportion=0.07395, over 47037.03 utterances.], batch size: 180, lr: 2.75e-04
+2022-09-18 11:19:47,226 INFO [train.py:885] (1/2) Epoch 17, batch 7500, loss[loss=0.4125, simple_loss=0.4955, pruned_loss=0.1647, over 13124.00 frames. utt_duration=81.94 frames, utt_pad_proportion=0.1093, over 653.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3577, pruned_loss=0.1102, over 2779226.39 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07312, over 47307.69 utterances.], batch size: 653, lr: 2.75e-04
+2022-09-18 11:20:15,633 INFO [train.py:885] (1/2) Epoch 17, batch 7550, loss[loss=0.2662, simple_loss=0.3393, pruned_loss=0.09653, over 14375.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03728, over 167.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3541, pruned_loss=0.1084, over 2780727.33 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07251, over 46223.29 utterances.], batch size: 167, lr: 2.75e-04
+2022-09-18 11:20:46,252 INFO [train.py:885] (1/2) Epoch 17, batch 7600, loss[loss=0.2537, simple_loss=0.3206, pruned_loss=0.09341, over 14296.00 frames. utt_duration=343.7 frames, utt_pad_proportion=0.0425, over 167.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3536, pruned_loss=0.1089, over 2778878.49 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07256, over 45159.98 utterances.], batch size: 167, lr: 2.75e-04
+2022-09-18 11:21:15,621 INFO [train.py:885] (1/2) Epoch 17, batch 7650, loss[loss=0.4979, simple_loss=0.504, pruned_loss=0.246, over 14243.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04284, over 335.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3559, pruned_loss=0.1111, over 2780262.66 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07251, over 45729.00 utterances.], batch size: 335, lr: 2.75e-04
+2022-09-18 11:21:45,446 INFO [train.py:885] (1/2) Epoch 17, batch 7700, loss[loss=0.2525, simple_loss=0.2995, pruned_loss=0.1027, over 13965.00 frames. utt_duration=811.1 frames, utt_pad_proportion=0.05581, over 69.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3582, pruned_loss=0.1121, over 2779985.45 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07255, over 46945.36 utterances.], batch size: 69, lr: 2.75e-04
+2022-09-18 11:22:14,658 INFO [train.py:885] (1/2) Epoch 17, batch 7750, loss[loss=0.1583, simple_loss=0.2249, pruned_loss=0.04585, over 13631.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.08369, over 50.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3551, pruned_loss=0.1094, over 2784205.67 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07106, over 46237.80 utterances.], batch size: 50, lr: 2.74e-04
+2022-09-18 11:22:45,050 INFO [train.py:885] (1/2) Epoch 17, batch 7800, loss[loss=0.3308, simple_loss=0.3944, pruned_loss=0.1336, over 14249.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04172, over 225.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3587, pruned_loss=0.1104, over 2778574.26 frames. utt_duration=228.6 frames, utt_pad_proportion=0.0744, over 48931.12 utterances.], batch size: 225, lr: 2.74e-04
+2022-09-18 11:23:14,571 INFO [train.py:885] (1/2) Epoch 17, batch 7850, loss[loss=0.2728, simple_loss=0.3439, pruned_loss=0.1009, over 14208.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.04647, over 141.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3599, pruned_loss=0.1115, over 2781118.44 frames. utt_duration=230.2 frames, utt_pad_proportion=0.0734, over 48638.18 utterances.], batch size: 141, lr: 2.74e-04
+2022-09-18 11:23:44,406 INFO [train.py:885] (1/2) Epoch 17, batch 7900, loss[loss=0.4419, simple_loss=0.5146, pruned_loss=0.1846, over 13108.00 frames. utt_duration=81.84 frames, utt_pad_proportion=0.1104, over 653.00 utterances.], tot_loss[loss=0.29, simple_loss=0.3591, pruned_loss=0.1104, over 2781578.18 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07314, over 49175.96 utterances.], batch size: 653, lr: 2.74e-04
+2022-09-18 11:24:13,656 INFO [train.py:885] (1/2) Epoch 17, batch 7950, loss[loss=0.3013, simple_loss=0.3642, pruned_loss=0.1192, over 14323.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03802, over 195.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3569, pruned_loss=0.1097, over 2779786.27 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07272, over 47911.27 utterances.], batch size: 195, lr: 2.74e-04
+2022-09-18 11:24:43,019 INFO [train.py:885] (1/2) Epoch 17, batch 8000, loss[loss=0.355, simple_loss=0.4104, pruned_loss=0.1498, over 14224.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04328, over 306.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3601, pruned_loss=0.1113, over 2779729.83 frames. utt_duration=229.2 frames, utt_pad_proportion=0.07353, over 48817.26 utterances.], batch size: 306, lr: 2.74e-04
+2022-09-18 11:25:12,896 INFO [train.py:885] (1/2) Epoch 17, batch 8050, loss[loss=0.2879, simple_loss=0.3597, pruned_loss=0.108, over 14324.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.0384, over 262.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3599, pruned_loss=0.1119, over 2775170.09 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07434, over 48272.90 utterances.], batch size: 262, lr: 2.74e-04
+2022-09-18 11:25:42,489 INFO [train.py:885] (1/2) Epoch 17, batch 8100, loss[loss=0.3102, simple_loss=0.3806, pruned_loss=0.1199, over 14327.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.0389, over 262.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3568, pruned_loss=0.1105, over 2778174.52 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07212, over 47329.49 utterances.], batch size: 262, lr: 2.74e-04
+2022-09-18 11:26:11,583 INFO [train.py:885] (1/2) Epoch 17, batch 8150, loss[loss=0.1477, simple_loss=0.2117, pruned_loss=0.0419, over 13426.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.08419, over 41.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3558, pruned_loss=0.1099, over 2780291.52 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07149, over 46724.03 utterances.], batch size: 41, lr: 2.74e-04
+2022-09-18 11:26:42,329 INFO [train.py:885] (1/2) Epoch 17, batch 8200, loss[loss=0.2995, simple_loss=0.3968, pruned_loss=0.1011, over 13769.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07178, over 411.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3593, pruned_loss=0.111, over 2776957.64 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07294, over 48314.61 utterances.], batch size: 411, lr: 2.74e-04
+2022-09-18 11:27:11,067 INFO [train.py:885] (1/2) Epoch 17, batch 8250, loss[loss=0.2759, simple_loss=0.3455, pruned_loss=0.1031, over 14312.00 frames. utt_duration=344 frames, utt_pad_proportion=0.04165, over 167.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3537, pruned_loss=0.109, over 2784893.91 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06883, over 45148.07 utterances.], batch size: 167, lr: 2.74e-04
+2022-09-18 11:27:40,846 INFO [train.py:885] (1/2) Epoch 17, batch 8300, loss[loss=0.3687, simple_loss=0.4185, pruned_loss=0.1595, over 14242.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04311, over 335.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3576, pruned_loss=0.1105, over 2780640.12 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07303, over 47180.77 utterances.], batch size: 335, lr: 2.74e-04
+2022-09-18 11:28:10,730 INFO [train.py:885] (1/2) Epoch 17, batch 8350, loss[loss=0.2437, simple_loss=0.3102, pruned_loss=0.08859, over 14287.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.04279, over 120.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.353, pruned_loss=0.1083, over 2775774.32 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07327, over 45384.59 utterances.], batch size: 120, lr: 2.74e-04
+2022-09-18 11:28:40,247 INFO [train.py:885] (1/2) Epoch 17, batch 8400, loss[loss=0.2392, simple_loss=0.3153, pruned_loss=0.08157, over 14337.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.03783, over 130.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3534, pruned_loss=0.1083, over 2773021.71 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07484, over 45649.73 utterances.], batch size: 130, lr: 2.74e-04
+2022-09-18 11:29:09,994 INFO [train.py:885] (1/2) Epoch 17, batch 8450, loss[loss=0.2092, simple_loss=0.2747, pruned_loss=0.07183, over 14093.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05161, over 98.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.354, pruned_loss=0.1084, over 2774020.54 frames. utt_duration=241.4 frames, utt_pad_proportion=0.0746, over 46241.07 utterances.], batch size: 98, lr: 2.74e-04
+2022-09-18 11:29:39,153 INFO [train.py:885] (1/2) Epoch 17, batch 8500, loss[loss=0.3458, simple_loss=0.4424, pruned_loss=0.1246, over 13617.00 frames. utt_duration=98.63 frames, utt_pad_proportion=0.07824, over 560.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.352, pruned_loss=0.1073, over 2775899.61 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07251, over 45073.43 utterances.], batch size: 560, lr: 2.74e-04
+2022-09-18 11:30:16,142 INFO [train.py:885] (1/2) Epoch 17, batch 8550, loss[loss=0.3469, simple_loss=0.4275, pruned_loss=0.1332, over 13664.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08088, over 478.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3568, pruned_loss=0.1097, over 2772587.15 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07419, over 46713.74 utterances.], batch size: 478, lr: 2.74e-04
+2022-09-18 11:30:45,881 INFO [train.py:885] (1/2) Epoch 17, batch 8600, loss[loss=0.2552, simple_loss=0.3418, pruned_loss=0.08431, over 14286.00 frames. utt_duration=294.6 frames, utt_pad_proportion=0.04052, over 195.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3577, pruned_loss=0.1093, over 2779597.15 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07138, over 47322.45 utterances.], batch size: 195, lr: 2.74e-04
+2022-09-18 11:31:15,353 INFO [train.py:885] (1/2) Epoch 17, batch 8650, loss[loss=0.2433, simple_loss=0.3189, pruned_loss=0.08385, over 14214.00 frames. utt_duration=523 frames, utt_pad_proportion=0.04207, over 109.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3553, pruned_loss=0.1078, over 2777548.73 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07095, over 46454.29 utterances.], batch size: 109, lr: 2.74e-04
+2022-09-18 11:31:44,463 INFO [train.py:885] (1/2) Epoch 17, batch 8700, loss[loss=0.2985, simple_loss=0.3702, pruned_loss=0.1134, over 14377.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03589, over 244.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3519, pruned_loss=0.1071, over 2776679.04 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07176, over 44728.00 utterances.], batch size: 244, lr: 2.74e-04
+2022-09-18 11:32:14,064 INFO [train.py:885] (1/2) Epoch 17, batch 8750, loss[loss=0.2015, simple_loss=0.2663, pruned_loss=0.06831, over 13840.00 frames. utt_duration=924.2 frames, utt_pad_proportion=0.07117, over 60.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3546, pruned_loss=0.1085, over 2776585.04 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07261, over 46279.26 utterances.], batch size: 60, lr: 2.74e-04
+2022-09-18 11:32:44,039 INFO [train.py:885] (1/2) Epoch 17, batch 8800, loss[loss=0.1602, simple_loss=0.2317, pruned_loss=0.0444, over 13404.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08576, over 41.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3547, pruned_loss=0.1086, over 2779921.54 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07233, over 45803.67 utterances.], batch size: 41, lr: 2.74e-04
+2022-09-18 11:33:13,766 INFO [train.py:885] (1/2) Epoch 17, batch 8850, loss[loss=0.5271, simple_loss=0.5856, pruned_loss=0.2343, over 13179.00 frames. utt_duration=82.26 frames, utt_pad_proportion=0.1059, over 653.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3554, pruned_loss=0.1095, over 2782179.50 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07129, over 45646.48 utterances.], batch size: 653, lr: 2.74e-04
+2022-09-18 11:33:43,808 INFO [train.py:885] (1/2) Epoch 17, batch 8900, loss[loss=0.2707, simple_loss=0.3524, pruned_loss=0.09449, over 14332.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.03998, over 167.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3551, pruned_loss=0.1091, over 2780123.83 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07113, over 45795.72 utterances.], batch size: 167, lr: 2.74e-04
+2022-09-18 11:34:12,835 INFO [train.py:885] (1/2) Epoch 17, batch 8950, loss[loss=0.3312, simple_loss=0.3622, pruned_loss=0.1501, over 14094.00 frames. utt_duration=576.7 frames, utt_pad_proportion=0.05453, over 98.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3565, pruned_loss=0.1102, over 2784257.32 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07063, over 45129.88 utterances.], batch size: 98, lr: 2.74e-04
+2022-09-18 11:34:42,778 INFO [train.py:885] (1/2) Epoch 17, batch 9000, loss[loss=0.2398, simple_loss=0.3067, pruned_loss=0.08639, over 13639.00 frames. utt_duration=1332 frames, utt_pad_proportion=0.06779, over 41.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3554, pruned_loss=0.1094, over 2783716.60 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07082, over 44824.79 utterances.], batch size: 41, lr: 2.74e-04
+2022-09-18 11:34:42,779 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 11:34:46,925 INFO [train.py:914] (1/2) Epoch 17, validation: loss=0.1966, simple_loss=0.279, pruned_loss=0.05714, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 11:35:16,523 INFO [train.py:885] (1/2) Epoch 17, batch 9050, loss[loss=0.1813, simple_loss=0.2302, pruned_loss=0.0662, over 13415.00 frames. utt_duration=1628 frames, utt_pad_proportion=0.09668, over 33.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3561, pruned_loss=0.1103, over 2780029.66 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07079, over 44804.67 utterances.], batch size: 33, lr: 2.74e-04
+2022-09-18 11:35:46,050 INFO [train.py:885] (1/2) Epoch 17, batch 9100, loss[loss=0.2597, simple_loss=0.3334, pruned_loss=0.09302, over 14244.00 frames. utt_duration=439.8 frames, utt_pad_proportion=0.04178, over 130.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3554, pruned_loss=0.1105, over 2776515.01 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07247, over 44968.97 utterances.], batch size: 130, lr: 2.74e-04
+2022-09-18 11:36:15,714 INFO [train.py:885] (1/2) Epoch 17, batch 9150, loss[loss=0.1734, simple_loss=0.2396, pruned_loss=0.05359, over 13765.00 frames. utt_duration=919.4 frames, utt_pad_proportion=0.06758, over 60.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3554, pruned_loss=0.1107, over 2775611.45 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07282, over 44944.39 utterances.], batch size: 60, lr: 2.74e-04
+2022-09-18 11:36:45,333 INFO [train.py:885] (1/2) Epoch 17, batch 9200, loss[loss=0.2941, simple_loss=0.3706, pruned_loss=0.1088, over 14346.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03636, over 210.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3537, pruned_loss=0.1098, over 2779080.76 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07157, over 43903.94 utterances.], batch size: 210, lr: 2.74e-04
+2022-09-18 11:37:14,660 INFO [train.py:885] (1/2) Epoch 17, batch 9250, loss[loss=0.3939, simple_loss=0.4341, pruned_loss=0.1769, over 14276.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04165, over 262.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3571, pruned_loss=0.111, over 2780124.86 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07095, over 45090.83 utterances.], batch size: 262, lr: 2.74e-04
+2022-09-18 11:37:44,680 INFO [train.py:885] (1/2) Epoch 17, batch 9300, loss[loss=0.3029, simple_loss=0.3684, pruned_loss=0.1187, over 14355.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03823, over 167.00 utterances.], tot_loss[loss=0.2965, simple_loss=0.364, pruned_loss=0.1145, over 2781801.93 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07236, over 47705.32 utterances.], batch size: 167, lr: 2.73e-04
+2022-09-18 11:38:21,029 INFO [train.py:885] (1/2) Epoch 17, batch 9350, loss[loss=0.1647, simple_loss=0.2177, pruned_loss=0.05581, over 13634.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.07779, over 50.00 utterances.], tot_loss[loss=0.2949, simple_loss=0.3621, pruned_loss=0.1139, over 2786384.19 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07078, over 46492.97 utterances.], batch size: 50, lr: 2.73e-04
+2022-09-18 11:38:50,858 INFO [train.py:885] (1/2) Epoch 17, batch 9400, loss[loss=0.2959, simple_loss=0.3903, pruned_loss=0.1008, over 13736.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07379, over 411.00 utterances.], tot_loss[loss=0.2918, simple_loss=0.3597, pruned_loss=0.1119, over 2790109.62 frames. utt_duration=244.5 frames, utt_pad_proportion=0.0689, over 45917.58 utterances.], batch size: 411, lr: 2.73e-04
+2022-09-18 11:39:28,238 INFO [train.py:885] (1/2) Epoch 17, batch 9450, loss[loss=0.1709, simple_loss=0.2239, pruned_loss=0.05888, over 13539.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.0854, over 50.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3583, pruned_loss=0.1115, over 2783718.52 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07053, over 45452.85 utterances.], batch size: 50, lr: 2.73e-04
+2022-09-18 11:39:57,996 INFO [train.py:885] (1/2) Epoch 17, batch 9500, loss[loss=0.3605, simple_loss=0.4304, pruned_loss=0.1453, over 14000.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05541, over 365.00 utterances.], tot_loss[loss=0.2937, simple_loss=0.3613, pruned_loss=0.1131, over 2784432.75 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07037, over 46710.53 utterances.], batch size: 365, lr: 2.73e-04
+2022-09-18 11:40:27,333 INFO [train.py:885] (1/2) Epoch 17, batch 9550, loss[loss=0.1729, simple_loss=0.238, pruned_loss=0.05387, over 13263.00 frames. utt_duration=1609 frames, utt_pad_proportion=0.1007, over 33.00 utterances.], tot_loss[loss=0.2911, simple_loss=0.3589, pruned_loss=0.1117, over 2783858.15 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07024, over 45783.97 utterances.], batch size: 33, lr: 2.73e-04
+2022-09-18 11:40:56,766 INFO [train.py:885] (1/2) Epoch 17, batch 9600, loss[loss=0.2657, simple_loss=0.3489, pruned_loss=0.09129, over 14331.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04011, over 167.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3579, pruned_loss=0.111, over 2786747.47 frames. utt_duration=246.7 frames, utt_pad_proportion=0.06854, over 45456.70 utterances.], batch size: 167, lr: 2.73e-04
+2022-09-18 11:41:26,312 INFO [train.py:885] (1/2) Epoch 17, batch 9650, loss[loss=0.2353, simple_loss=0.2955, pruned_loss=0.08752, over 14128.00 frames. utt_duration=578.2 frames, utt_pad_proportion=0.04902, over 98.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3594, pruned_loss=0.1117, over 2781212.64 frames. utt_duration=243.7 frames, utt_pad_proportion=0.0721, over 45921.38 utterances.], batch size: 98, lr: 2.73e-04
+2022-09-18 11:41:56,075 INFO [train.py:885] (1/2) Epoch 17, batch 9700, loss[loss=0.3804, simple_loss=0.4585, pruned_loss=0.1511, over 13663.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07837, over 477.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3568, pruned_loss=0.1104, over 2776973.68 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07335, over 45465.75 utterances.], batch size: 477, lr: 2.73e-04
+2022-09-18 11:42:25,372 INFO [train.py:885] (1/2) Epoch 17, batch 9750, loss[loss=0.3251, simple_loss=0.4186, pruned_loss=0.1158, over 13580.00 frames. utt_duration=115.3 frames, utt_pad_proportion=0.08507, over 477.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3534, pruned_loss=0.1083, over 2777556.29 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07222, over 44764.57 utterances.], batch size: 477, lr: 2.73e-04
+2022-09-18 11:42:55,362 INFO [train.py:885] (1/2) Epoch 17, batch 9800, loss[loss=0.2579, simple_loss=0.3131, pruned_loss=0.1013, over 13912.00 frames. utt_duration=705.9 frames, utt_pad_proportion=0.065, over 79.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3568, pruned_loss=0.1096, over 2780090.63 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07308, over 46189.18 utterances.], batch size: 79, lr: 2.73e-04
+2022-09-18 11:43:25,041 INFO [train.py:885] (1/2) Epoch 17, batch 9850, loss[loss=0.2721, simple_loss=0.3363, pruned_loss=0.1039, over 14332.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03978, over 167.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3557, pruned_loss=0.1092, over 2785367.20 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07133, over 45302.71 utterances.], batch size: 167, lr: 2.73e-04
+2022-09-18 11:43:54,565 INFO [train.py:885] (1/2) Epoch 17, batch 9900, loss[loss=0.2991, simple_loss=0.3588, pruned_loss=0.1197, over 14375.00 frames. utt_duration=345.6 frames, utt_pad_proportion=0.03736, over 167.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3546, pruned_loss=0.1085, over 2787915.37 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06992, over 44444.50 utterances.], batch size: 167, lr: 2.73e-04
+2022-09-18 11:44:25,231 INFO [train.py:885] (1/2) Epoch 17, batch 9950, loss[loss=0.1574, simple_loss=0.2249, pruned_loss=0.04495, over 13584.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.08789, over 42.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3568, pruned_loss=0.1097, over 2784305.69 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07174, over 46174.33 utterances.], batch size: 42, lr: 2.73e-04
+2022-09-18 11:44:53,654 INFO [train.py:885] (1/2) Epoch 17, batch 10000, loss[loss=0.2595, simple_loss=0.33, pruned_loss=0.09455, over 14235.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04694, over 141.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3586, pruned_loss=0.1104, over 2786278.81 frames. utt_duration=239.6 frames, utt_pad_proportion=0.06996, over 46796.35 utterances.], batch size: 141, lr: 2.73e-04
+2022-09-18 11:45:22,867 INFO [train.py:885] (1/2) Epoch 17, batch 10050, loss[loss=0.2906, simple_loss=0.3354, pruned_loss=0.1229, over 14135.00 frames. utt_duration=520.2 frames, utt_pad_proportion=0.0473, over 109.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3581, pruned_loss=0.1107, over 2786002.50 frames. utt_duration=243.1 frames, utt_pad_proportion=0.06877, over 46122.46 utterances.], batch size: 109, lr: 2.73e-04
+2022-09-18 11:45:53,227 INFO [train.py:885] (1/2) Epoch 17, batch 10100, loss[loss=0.1881, simple_loss=0.2505, pruned_loss=0.06288, over 13428.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.0824, over 41.00 utterances.], tot_loss[loss=0.2893, simple_loss=0.3576, pruned_loss=0.1104, over 2786678.82 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06886, over 45807.62 utterances.], batch size: 41, lr: 2.73e-04
+2022-09-18 11:46:23,361 INFO [train.py:885] (1/2) Epoch 17, batch 10150, loss[loss=0.1834, simple_loss=0.2472, pruned_loss=0.05977, over 12159.00 frames. utt_duration=2028 frames, utt_pad_proportion=0.1782, over 24.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3564, pruned_loss=0.1098, over 2780248.49 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07015, over 45732.83 utterances.], batch size: 24, lr: 2.73e-04
+2022-09-18 11:46:52,646 INFO [train.py:885] (1/2) Epoch 17, batch 10200, loss[loss=0.1889, simple_loss=0.2613, pruned_loss=0.05827, over 13803.00 frames. utt_duration=801.6 frames, utt_pad_proportion=0.06574, over 69.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3567, pruned_loss=0.1092, over 2784141.85 frames. utt_duration=243.6 frames, utt_pad_proportion=0.06951, over 45990.18 utterances.], batch size: 69, lr: 2.73e-04
+2022-09-18 11:47:29,995 INFO [train.py:885] (1/2) Epoch 17, batch 10250, loss[loss=0.2232, simple_loss=0.2966, pruned_loss=0.07491, over 14164.00 frames. utt_duration=638 frames, utt_pad_proportion=0.05066, over 89.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3526, pruned_loss=0.1076, over 2783478.42 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07031, over 44543.87 utterances.], batch size: 89, lr: 2.73e-04
+2022-09-18 11:47:59,188 INFO [train.py:885] (1/2) Epoch 17, batch 10300, loss[loss=0.2309, simple_loss=0.2829, pruned_loss=0.0895, over 13881.00 frames. utt_duration=926.6 frames, utt_pad_proportion=0.06971, over 60.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3541, pruned_loss=0.1083, over 2776323.42 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07258, over 45531.66 utterances.], batch size: 60, lr: 2.73e-04
+2022-09-18 11:48:28,951 INFO [train.py:885] (1/2) Epoch 17, batch 10350, loss[loss=0.2181, simple_loss=0.2938, pruned_loss=0.07123, over 14264.00 frames. utt_duration=642.4 frames, utt_pad_proportion=0.04263, over 89.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3589, pruned_loss=0.1111, over 2775234.58 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07499, over 47396.30 utterances.], batch size: 89, lr: 2.73e-04
+2022-09-18 11:48:58,733 INFO [train.py:885] (1/2) Epoch 17, batch 10400, loss[loss=0.2825, simple_loss=0.3528, pruned_loss=0.1061, over 14294.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03876, over 180.00 utterances.], tot_loss[loss=0.2951, simple_loss=0.363, pruned_loss=0.1136, over 2777677.84 frames. utt_duration=230.5 frames, utt_pad_proportion=0.07467, over 48523.12 utterances.], batch size: 180, lr: 2.73e-04
+2022-09-18 11:49:28,743 INFO [train.py:885] (1/2) Epoch 17, batch 10450, loss[loss=0.3718, simple_loss=0.4464, pruned_loss=0.1486, over 13628.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08176, over 477.00 utterances.], tot_loss[loss=0.2912, simple_loss=0.3594, pruned_loss=0.1115, over 2775155.63 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07404, over 47410.85 utterances.], batch size: 477, lr: 2.73e-04
+2022-09-18 11:49:57,966 INFO [train.py:885] (1/2) Epoch 17, batch 10500, loss[loss=0.231, simple_loss=0.3004, pruned_loss=0.08085, over 14192.00 frames. utt_duration=522.5 frames, utt_pad_proportion=0.0431, over 109.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3582, pruned_loss=0.1114, over 2778773.59 frames. utt_duration=240.2 frames, utt_pad_proportion=0.0726, over 46567.97 utterances.], batch size: 109, lr: 2.73e-04
+2022-09-18 11:50:27,492 INFO [train.py:885] (1/2) Epoch 17, batch 10550, loss[loss=0.4409, simple_loss=0.5204, pruned_loss=0.1807, over 13172.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.106, over 653.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3537, pruned_loss=0.1089, over 2778146.09 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07095, over 44980.36 utterances.], batch size: 653, lr: 2.73e-04
+2022-09-18 11:50:57,117 INFO [train.py:885] (1/2) Epoch 17, batch 10600, loss[loss=0.2682, simple_loss=0.3351, pruned_loss=0.1007, over 14036.00 frames. utt_duration=574.5 frames, utt_pad_proportion=0.05672, over 98.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3596, pruned_loss=0.1126, over 2780692.39 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07201, over 46398.98 utterances.], batch size: 98, lr: 2.73e-04
+2022-09-18 11:51:27,023 INFO [train.py:885] (1/2) Epoch 17, batch 10650, loss[loss=0.2686, simple_loss=0.3484, pruned_loss=0.09439, over 14291.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.04274, over 141.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3589, pruned_loss=0.1116, over 2777472.24 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07361, over 46521.59 utterances.], batch size: 141, lr: 2.73e-04
+2022-09-18 11:51:56,311 INFO [train.py:885] (1/2) Epoch 17, batch 10700, loss[loss=0.305, simple_loss=0.3746, pruned_loss=0.1177, over 14324.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03809, over 283.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3584, pruned_loss=0.111, over 2777918.51 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07307, over 46454.62 utterances.], batch size: 283, lr: 2.73e-04
+2022-09-18 11:52:25,203 INFO [train.py:885] (1/2) Epoch 17, batch 10750, loss[loss=0.2596, simple_loss=0.3355, pruned_loss=0.0919, over 14332.00 frames. utt_duration=374 frames, utt_pad_proportion=0.03863, over 154.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3522, pruned_loss=0.108, over 2779989.19 frames. utt_duration=255.9 frames, utt_pad_proportion=0.0699, over 43705.70 utterances.], batch size: 154, lr: 2.73e-04
+2022-09-18 11:52:55,360 INFO [train.py:885] (1/2) Epoch 17, batch 10800, loss[loss=0.1843, simple_loss=0.2455, pruned_loss=0.06161, over 13909.00 frames. utt_duration=796.4 frames, utt_pad_proportion=0.06639, over 70.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3568, pruned_loss=0.1098, over 2779057.36 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07265, over 46513.83 utterances.], batch size: 70, lr: 2.73e-04
+2022-09-18 11:53:25,720 INFO [train.py:885] (1/2) Epoch 17, batch 10850, loss[loss=0.2624, simple_loss=0.3447, pruned_loss=0.09005, over 14319.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03821, over 210.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3574, pruned_loss=0.1109, over 2780310.90 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07182, over 45630.96 utterances.], batch size: 210, lr: 2.72e-04
+2022-09-18 11:53:54,864 INFO [train.py:885] (1/2) Epoch 17, batch 10900, loss[loss=0.3839, simple_loss=0.4321, pruned_loss=0.1678, over 14258.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04138, over 306.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3551, pruned_loss=0.1097, over 2777699.66 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07167, over 44716.54 utterances.], batch size: 306, lr: 2.72e-04
+2022-09-18 11:54:24,881 INFO [train.py:885] (1/2) Epoch 17, batch 10950, loss[loss=0.2778, simple_loss=0.3511, pruned_loss=0.1023, over 14341.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03693, over 210.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3544, pruned_loss=0.1085, over 2776045.38 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07159, over 45293.79 utterances.], batch size: 210, lr: 2.72e-04
+2022-09-18 11:54:54,309 INFO [train.py:885] (1/2) Epoch 17, batch 11000, loss[loss=0.3252, simple_loss=0.3881, pruned_loss=0.1312, over 14321.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03857, over 283.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3518, pruned_loss=0.1072, over 2780175.75 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06918, over 43826.25 utterances.], batch size: 283, lr: 2.72e-04
+2022-09-18 11:55:23,990 INFO [train.py:885] (1/2) Epoch 17, batch 11050, loss[loss=0.3202, simple_loss=0.3812, pruned_loss=0.1296, over 14293.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.03643, over 130.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3492, pruned_loss=0.1058, over 2781076.05 frames. utt_duration=261.3 frames, utt_pad_proportion=0.06692, over 42817.96 utterances.], batch size: 130, lr: 2.72e-04
+2022-09-18 11:55:53,194 INFO [train.py:885] (1/2) Epoch 17, batch 11100, loss[loss=0.3214, simple_loss=0.3859, pruned_loss=0.1284, over 14286.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03959, over 180.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3543, pruned_loss=0.1089, over 2780356.37 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06891, over 45036.34 utterances.], batch size: 180, lr: 2.72e-04
+2022-09-18 11:56:22,885 INFO [train.py:885] (1/2) Epoch 17, batch 11150, loss[loss=0.2543, simple_loss=0.3118, pruned_loss=0.0984, over 14049.00 frames. utt_duration=574.8 frames, utt_pad_proportion=0.05763, over 98.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3531, pruned_loss=0.1074, over 2779421.35 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06955, over 45584.27 utterances.], batch size: 98, lr: 2.72e-04
+2022-09-18 11:56:52,608 INFO [train.py:885] (1/2) Epoch 17, batch 11200, loss[loss=0.2113, simple_loss=0.2834, pruned_loss=0.06956, over 13868.00 frames. utt_duration=926 frames, utt_pad_proportion=0.06655, over 60.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3536, pruned_loss=0.1079, over 2783483.84 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06935, over 45173.85 utterances.], batch size: 60, lr: 2.72e-04
+2022-09-18 11:57:22,222 INFO [train.py:885] (1/2) Epoch 17, batch 11250, loss[loss=0.239, simple_loss=0.3029, pruned_loss=0.08759, over 13846.00 frames. utt_duration=804 frames, utt_pad_proportion=0.06404, over 69.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3489, pruned_loss=0.1056, over 2781565.25 frames. utt_duration=258.8 frames, utt_pad_proportion=0.06782, over 43240.09 utterances.], batch size: 69, lr: 2.72e-04
+2022-09-18 11:57:52,141 INFO [train.py:885] (1/2) Epoch 17, batch 11300, loss[loss=0.2833, simple_loss=0.3429, pruned_loss=0.1118, over 14234.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04629, over 141.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3524, pruned_loss=0.1073, over 2780020.33 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06811, over 44429.84 utterances.], batch size: 141, lr: 2.72e-04
+2022-09-18 11:58:21,263 INFO [train.py:885] (1/2) Epoch 17, batch 11350, loss[loss=0.2572, simple_loss=0.3304, pruned_loss=0.09197, over 14290.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04232, over 120.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3527, pruned_loss=0.1072, over 2777608.48 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07036, over 45387.00 utterances.], batch size: 120, lr: 2.72e-04
+2022-09-18 11:58:50,605 INFO [train.py:885] (1/2) Epoch 17, batch 11400, loss[loss=0.292, simple_loss=0.3643, pruned_loss=0.1098, over 14345.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03649, over 210.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3539, pruned_loss=0.1082, over 2782319.29 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06796, over 45212.34 utterances.], batch size: 210, lr: 2.72e-04
+2022-09-18 11:59:20,360 INFO [train.py:885] (1/2) Epoch 17, batch 11450, loss[loss=0.2171, simple_loss=0.2708, pruned_loss=0.0817, over 13236.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.0977, over 41.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.3578, pruned_loss=0.1099, over 2778450.00 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07104, over 47320.22 utterances.], batch size: 41, lr: 2.72e-04
+2022-09-18 11:59:50,021 INFO [train.py:885] (1/2) Epoch 17, batch 11500, loss[loss=0.1993, simple_loss=0.2663, pruned_loss=0.06619, over 13917.00 frames. utt_duration=808.3 frames, utt_pad_proportion=0.05907, over 69.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3537, pruned_loss=0.1074, over 2779009.46 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07155, over 46237.00 utterances.], batch size: 69, lr: 2.72e-04
+2022-09-18 12:00:19,808 INFO [train.py:885] (1/2) Epoch 17, batch 11550, loss[loss=0.1529, simple_loss=0.2073, pruned_loss=0.04924, over 13654.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08785, over 42.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.352, pruned_loss=0.1067, over 2783692.17 frames. utt_duration=247 frames, utt_pad_proportion=0.07027, over 45360.27 utterances.], batch size: 42, lr: 2.72e-04
+2022-09-18 12:00:49,635 INFO [train.py:885] (1/2) Epoch 17, batch 11600, loss[loss=0.4139, simple_loss=0.492, pruned_loss=0.1679, over 13150.00 frames. utt_duration=82.01 frames, utt_pad_proportion=0.1086, over 653.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3523, pruned_loss=0.1071, over 2779792.88 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07228, over 45597.08 utterances.], batch size: 653, lr: 2.72e-04
+2022-09-18 12:01:18,711 INFO [train.py:885] (1/2) Epoch 17, batch 11650, loss[loss=0.2976, simple_loss=0.3947, pruned_loss=0.1002, over 13622.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08085, over 477.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3487, pruned_loss=0.1052, over 2782635.43 frames. utt_duration=256 frames, utt_pad_proportion=0.0699, over 43739.79 utterances.], batch size: 477, lr: 2.72e-04
+2022-09-18 12:01:48,437 INFO [train.py:885] (1/2) Epoch 17, batch 11700, loss[loss=0.2832, simple_loss=0.3743, pruned_loss=0.09607, over 13987.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05717, over 365.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3499, pruned_loss=0.1051, over 2779516.17 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07156, over 44675.73 utterances.], batch size: 365, lr: 2.72e-04
+2022-09-18 12:02:17,286 INFO [train.py:885] (1/2) Epoch 17, batch 11750, loss[loss=0.2836, simple_loss=0.3587, pruned_loss=0.1042, over 14347.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03369, over 244.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3488, pruned_loss=0.1055, over 2779420.08 frames. utt_duration=255.9 frames, utt_pad_proportion=0.0698, over 43702.94 utterances.], batch size: 244, lr: 2.72e-04
+2022-09-18 12:02:46,147 INFO [train.py:885] (1/2) Epoch 17, batch 11800, loss[loss=0.3293, simple_loss=0.3929, pruned_loss=0.1328, over 14313.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03902, over 283.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3483, pruned_loss=0.1053, over 2778795.77 frames. utt_duration=258.4 frames, utt_pad_proportion=0.07089, over 43259.28 utterances.], batch size: 283, lr: 2.72e-04
+2022-09-18 12:03:16,257 INFO [train.py:885] (1/2) Epoch 17, batch 11850, loss[loss=0.2961, simple_loss=0.3622, pruned_loss=0.115, over 14327.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03807, over 195.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3494, pruned_loss=0.1062, over 2778207.25 frames. utt_duration=255.9 frames, utt_pad_proportion=0.07224, over 43679.51 utterances.], batch size: 195, lr: 2.72e-04
+2022-09-18 12:03:45,993 INFO [train.py:885] (1/2) Epoch 17, batch 11900, loss[loss=0.2586, simple_loss=0.3211, pruned_loss=0.09802, over 14324.00 frames. utt_duration=479 frames, utt_pad_proportion=0.04006, over 120.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3513, pruned_loss=0.1076, over 2780505.77 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07274, over 43963.64 utterances.], batch size: 120, lr: 2.72e-04
+2022-09-18 12:04:16,232 INFO [train.py:885] (1/2) Epoch 17, batch 11950, loss[loss=0.5173, simple_loss=0.6004, pruned_loss=0.2171, over 12442.00 frames. utt_duration=62.98 frames, utt_pad_proportion=0.1489, over 810.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3498, pruned_loss=0.1069, over 2782411.70 frames. utt_duration=260.8 frames, utt_pad_proportion=0.07075, over 42917.88 utterances.], batch size: 810, lr: 2.72e-04
+2022-09-18 12:04:45,295 INFO [train.py:885] (1/2) Epoch 17, batch 12000, loss[loss=0.216, simple_loss=0.2903, pruned_loss=0.07087, over 13069.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.12, over 33.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3472, pruned_loss=0.1053, over 2782744.83 frames. utt_duration=267.6 frames, utt_pad_proportion=0.06909, over 41830.51 utterances.], batch size: 33, lr: 2.72e-04
+2022-09-18 12:04:45,296 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 12:04:50,061 INFO [train.py:914] (1/2) Epoch 17, validation: loss=0.1947, simple_loss=0.2725, pruned_loss=0.05844, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 12:05:19,863 INFO [train.py:885] (1/2) Epoch 17, batch 12050, loss[loss=0.1867, simple_loss=0.2581, pruned_loss=0.0577, over 14062.00 frames. utt_duration=804.9 frames, utt_pad_proportion=0.06076, over 70.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3528, pruned_loss=0.1079, over 2786880.51 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06966, over 44455.99 utterances.], batch size: 70, lr: 2.72e-04
+2022-09-18 12:05:49,547 INFO [train.py:885] (1/2) Epoch 17, batch 12100, loss[loss=0.2407, simple_loss=0.3207, pruned_loss=0.08039, over 14335.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03975, over 167.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3528, pruned_loss=0.108, over 2789314.37 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06952, over 44489.71 utterances.], batch size: 167, lr: 2.72e-04
+2022-09-18 12:06:18,387 INFO [train.py:885] (1/2) Epoch 17, batch 12150, loss[loss=0.3453, simple_loss=0.4149, pruned_loss=0.1379, over 13980.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.05968, over 366.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3517, pruned_loss=0.1073, over 2785616.47 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07053, over 44862.78 utterances.], batch size: 366, lr: 2.72e-04
+2022-09-18 12:06:48,307 INFO [train.py:885] (1/2) Epoch 17, batch 12200, loss[loss=0.1863, simple_loss=0.2388, pruned_loss=0.06693, over 13800.00 frames. utt_duration=921.4 frames, utt_pad_proportion=0.07115, over 60.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3521, pruned_loss=0.1076, over 2786601.36 frames. utt_duration=255.6 frames, utt_pad_proportion=0.0699, over 43862.79 utterances.], batch size: 60, lr: 2.72e-04
+2022-09-18 12:07:17,722 INFO [train.py:885] (1/2) Epoch 17, batch 12250, loss[loss=0.2019, simple_loss=0.269, pruned_loss=0.06736, over 13924.00 frames. utt_duration=706.5 frames, utt_pad_proportion=0.06545, over 79.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3539, pruned_loss=0.1087, over 2786309.80 frames. utt_duration=250 frames, utt_pad_proportion=0.07082, over 44854.75 utterances.], batch size: 79, lr: 2.72e-04
+2022-09-18 12:07:47,291 INFO [train.py:885] (1/2) Epoch 17, batch 12300, loss[loss=0.2855, simple_loss=0.3898, pruned_loss=0.09063, over 13626.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08058, over 477.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3512, pruned_loss=0.1079, over 2785750.61 frames. utt_duration=259.5 frames, utt_pad_proportion=0.06911, over 43186.45 utterances.], batch size: 477, lr: 2.72e-04
+2022-09-18 12:08:15,919 INFO [train.py:885] (1/2) Epoch 17, batch 12350, loss[loss=0.2748, simple_loss=0.3526, pruned_loss=0.09844, over 14376.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03472, over 210.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3555, pruned_loss=0.1107, over 2781639.26 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07122, over 44874.66 utterances.], batch size: 210, lr: 2.72e-04
+2022-09-18 12:08:45,668 INFO [train.py:885] (1/2) Epoch 17, batch 12400, loss[loss=0.2848, simple_loss=0.3542, pruned_loss=0.1077, over 14352.00 frames. utt_duration=479.9 frames, utt_pad_proportion=0.03626, over 120.00 utterances.], tot_loss[loss=0.2923, simple_loss=0.3599, pruned_loss=0.1123, over 2781731.95 frames. utt_duration=237 frames, utt_pad_proportion=0.07197, over 47244.74 utterances.], batch size: 120, lr: 2.71e-04
+2022-09-18 12:09:15,424 INFO [train.py:885] (1/2) Epoch 17, batch 12450, loss[loss=0.2885, simple_loss=0.366, pruned_loss=0.1055, over 14339.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.0378, over 244.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3596, pruned_loss=0.1126, over 2778762.40 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07389, over 47070.12 utterances.], batch size: 244, lr: 2.71e-04
+2022-09-18 12:09:44,421 INFO [train.py:885] (1/2) Epoch 17, batch 12500, loss[loss=0.3033, simple_loss=0.3775, pruned_loss=0.1146, over 14362.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03284, over 244.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3585, pruned_loss=0.1114, over 2783145.68 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07267, over 46238.38 utterances.], batch size: 244, lr: 2.71e-04
+2022-09-18 12:10:15,139 INFO [train.py:885] (1/2) Epoch 17, batch 12550, loss[loss=0.2402, simple_loss=0.3185, pruned_loss=0.0809, over 14026.00 frames. utt_duration=573.7 frames, utt_pad_proportion=0.05796, over 98.00 utterances.], tot_loss[loss=0.2931, simple_loss=0.3601, pruned_loss=0.113, over 2778059.81 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07462, over 46507.80 utterances.], batch size: 98, lr: 2.71e-04
+2022-09-18 12:10:42,710 INFO [train.py:885] (1/2) Epoch 17, batch 12600, loss[loss=0.2973, simple_loss=0.3611, pruned_loss=0.1168, over 14236.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04644, over 141.00 utterances.], tot_loss[loss=0.2934, simple_loss=0.361, pruned_loss=0.1129, over 2776569.42 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07415, over 47284.30 utterances.], batch size: 141, lr: 2.71e-04
+2022-09-18 12:11:00,500 INFO [train.py:885] (1/2) Epoch 18, batch 0, loss[loss=0.2606, simple_loss=0.3328, pruned_loss=0.09418, over 14310.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.0389, over 195.00 utterances.], tot_loss[loss=0.2606, simple_loss=0.3328, pruned_loss=0.09418, over 14310.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.0389, over 195.00 utterances.], batch size: 195, lr: 2.64e-04
+2022-09-18 12:11:30,536 INFO [train.py:885] (1/2) Epoch 18, batch 50, loss[loss=0.3515, simple_loss=0.4042, pruned_loss=0.1494, over 14245.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04257, over 335.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3509, pruned_loss=0.1066, over 631223.69 frames. utt_duration=261 frames, utt_pad_proportion=0.06742, over 9728.57 utterances.], batch size: 335, lr: 2.64e-04
+2022-09-18 12:12:09,751 INFO [train.py:885] (1/2) Epoch 18, batch 100, loss[loss=0.2375, simple_loss=0.2997, pruned_loss=0.08764, over 12341.00 frames. utt_duration=1976 frames, utt_pad_proportion=0.1266, over 25.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3539, pruned_loss=0.1077, over 1104861.14 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07176, over 18132.64 utterances.], batch size: 25, lr: 2.64e-04
+2022-09-18 12:12:39,030 INFO [train.py:885] (1/2) Epoch 18, batch 150, loss[loss=0.2113, simple_loss=0.2768, pruned_loss=0.07283, over 14017.00 frames. utt_duration=711.3 frames, utt_pad_proportion=0.05789, over 79.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3496, pruned_loss=0.1072, over 1476809.48 frames. utt_duration=265.9 frames, utt_pad_proportion=0.068, over 22340.90 utterances.], batch size: 79, lr: 2.64e-04
+2022-09-18 12:13:08,003 INFO [train.py:885] (1/2) Epoch 18, batch 200, loss[loss=0.2335, simple_loss=0.3182, pruned_loss=0.07437, over 14285.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.04294, over 141.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3524, pruned_loss=0.1089, over 1763594.19 frames. utt_duration=256.3 frames, utt_pad_proportion=0.07126, over 27688.98 utterances.], batch size: 141, lr: 2.64e-04
+2022-09-18 12:13:38,274 INFO [train.py:885] (1/2) Epoch 18, batch 250, loss[loss=0.1779, simple_loss=0.2412, pruned_loss=0.05733, over 13510.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08576, over 50.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3458, pruned_loss=0.1042, over 1988387.68 frames. utt_duration=265.5 frames, utt_pad_proportion=0.07174, over 30130.09 utterances.], batch size: 50, lr: 2.64e-04
+2022-09-18 12:14:07,591 INFO [train.py:885] (1/2) Epoch 18, batch 300, loss[loss=0.3883, simple_loss=0.4281, pruned_loss=0.1743, over 14240.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04224, over 335.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3488, pruned_loss=0.1059, over 2162762.04 frames. utt_duration=257.2 frames, utt_pad_proportion=0.07333, over 33836.67 utterances.], batch size: 335, lr: 2.64e-04
+2022-09-18 12:14:37,312 INFO [train.py:885] (1/2) Epoch 18, batch 350, loss[loss=0.3859, simple_loss=0.4332, pruned_loss=0.1693, over 14333.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.0379, over 262.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3523, pruned_loss=0.1077, over 2300147.23 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07184, over 36656.02 utterances.], batch size: 262, lr: 2.64e-04
+2022-09-18 12:15:06,970 INFO [train.py:885] (1/2) Epoch 18, batch 400, loss[loss=0.2126, simple_loss=0.2869, pruned_loss=0.06911, over 14316.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03894, over 120.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3496, pruned_loss=0.106, over 2404130.03 frames. utt_duration=257.2 frames, utt_pad_proportion=0.07207, over 37606.91 utterances.], batch size: 120, lr: 2.64e-04
+2022-09-18 12:15:36,363 INFO [train.py:885] (1/2) Epoch 18, batch 450, loss[loss=0.2635, simple_loss=0.336, pruned_loss=0.09551, over 14287.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03959, over 180.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3504, pruned_loss=0.1073, over 2490389.48 frames. utt_duration=262.4 frames, utt_pad_proportion=0.06914, over 38173.87 utterances.], batch size: 180, lr: 2.64e-04
+2022-09-18 12:16:06,142 INFO [train.py:885] (1/2) Epoch 18, batch 500, loss[loss=0.3795, simple_loss=0.4269, pruned_loss=0.166, over 14329.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03777, over 283.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.356, pruned_loss=0.1098, over 2556099.92 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07122, over 41339.28 utterances.], batch size: 283, lr: 2.64e-04
+2022-09-18 12:16:35,544 INFO [train.py:885] (1/2) Epoch 18, batch 550, loss[loss=0.1796, simple_loss=0.2392, pruned_loss=0.06002, over 12875.00 frames. utt_duration=2061 frames, utt_pad_proportion=0.1072, over 25.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3554, pruned_loss=0.109, over 2607582.14 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07017, over 42196.23 utterances.], batch size: 25, lr: 2.64e-04
+2022-09-18 12:17:04,596 INFO [train.py:885] (1/2) Epoch 18, batch 600, loss[loss=0.2302, simple_loss=0.2883, pruned_loss=0.08605, over 14223.00 frames. utt_duration=640.8 frames, utt_pad_proportion=0.04359, over 89.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3545, pruned_loss=0.1084, over 2643984.00 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07155, over 42615.87 utterances.], batch size: 89, lr: 2.64e-04
+2022-09-18 12:17:34,719 INFO [train.py:885] (1/2) Epoch 18, batch 650, loss[loss=0.2068, simple_loss=0.2744, pruned_loss=0.0696, over 14188.00 frames. utt_duration=522 frames, utt_pad_proportion=0.04396, over 109.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3559, pruned_loss=0.1088, over 2673158.94 frames. utt_duration=245 frames, utt_pad_proportion=0.07242, over 43909.82 utterances.], batch size: 109, lr: 2.64e-04
+2022-09-18 12:18:03,991 INFO [train.py:885] (1/2) Epoch 18, batch 700, loss[loss=0.3165, simple_loss=0.4146, pruned_loss=0.1092, over 13661.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08141, over 478.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3504, pruned_loss=0.1061, over 2694916.18 frames. utt_duration=256.4 frames, utt_pad_proportion=0.07123, over 42279.45 utterances.], batch size: 478, lr: 2.64e-04
+2022-09-18 12:18:33,075 INFO [train.py:885] (1/2) Epoch 18, batch 750, loss[loss=0.1574, simple_loss=0.2142, pruned_loss=0.05028, over 13461.00 frames. utt_duration=1315 frames, utt_pad_proportion=0.08113, over 41.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3488, pruned_loss=0.1059, over 2715757.63 frames. utt_duration=262.1 frames, utt_pad_proportion=0.06936, over 41673.33 utterances.], batch size: 41, lr: 2.64e-04
+2022-09-18 12:19:03,116 INFO [train.py:885] (1/2) Epoch 18, batch 800, loss[loss=0.3067, simple_loss=0.3742, pruned_loss=0.1196, over 14243.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04261, over 225.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3536, pruned_loss=0.1082, over 2728474.63 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07121, over 44039.18 utterances.], batch size: 225, lr: 2.64e-04
+2022-09-18 12:19:32,450 INFO [train.py:885] (1/2) Epoch 18, batch 850, loss[loss=0.2017, simple_loss=0.263, pruned_loss=0.07023, over 14024.00 frames. utt_duration=711.6 frames, utt_pad_proportion=0.05629, over 79.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3565, pruned_loss=0.1098, over 2734607.30 frames. utt_duration=242.2 frames, utt_pad_proportion=0.0742, over 45438.99 utterances.], batch size: 79, lr: 2.64e-04
+2022-09-18 12:20:02,461 INFO [train.py:885] (1/2) Epoch 18, batch 900, loss[loss=0.176, simple_loss=0.2526, pruned_loss=0.0497, over 13192.00 frames. utt_duration=1601 frames, utt_pad_proportion=0.1088, over 33.00 utterances.], tot_loss[loss=0.294, simple_loss=0.3622, pruned_loss=0.1129, over 2736526.87 frames. utt_duration=228.2 frames, utt_pad_proportion=0.07803, over 48288.27 utterances.], batch size: 33, lr: 2.64e-04
+2022-09-18 12:20:31,317 INFO [train.py:885] (1/2) Epoch 18, batch 950, loss[loss=0.2182, simple_loss=0.2744, pruned_loss=0.08099, over 14017.00 frames. utt_duration=814.1 frames, utt_pad_proportion=0.05223, over 69.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.3593, pruned_loss=0.1121, over 2748218.58 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07556, over 46842.09 utterances.], batch size: 69, lr: 2.64e-04
+2022-09-18 12:21:01,021 INFO [train.py:885] (1/2) Epoch 18, batch 1000, loss[loss=0.2113, simple_loss=0.2849, pruned_loss=0.06882, over 12767.00 frames. utt_duration=2044 frames, utt_pad_proportion=0.1353, over 25.00 utterances.], tot_loss[loss=0.2941, simple_loss=0.3619, pruned_loss=0.1131, over 2755432.84 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07497, over 47294.02 utterances.], batch size: 25, lr: 2.64e-04
+2022-09-18 12:21:30,802 INFO [train.py:885] (1/2) Epoch 18, batch 1050, loss[loss=0.2186, simple_loss=0.2872, pruned_loss=0.07501, over 14226.00 frames. utt_duration=640.9 frames, utt_pad_proportion=0.04623, over 89.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3592, pruned_loss=0.1112, over 2757284.79 frames. utt_duration=238.1 frames, utt_pad_proportion=0.0751, over 46603.31 utterances.], batch size: 89, lr: 2.64e-04
+2022-09-18 12:22:00,200 INFO [train.py:885] (1/2) Epoch 18, batch 1100, loss[loss=0.3482, simple_loss=0.4036, pruned_loss=0.1464, over 14306.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03939, over 283.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3545, pruned_loss=0.109, over 2763162.55 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07288, over 44589.86 utterances.], batch size: 283, lr: 2.64e-04
+2022-09-18 12:22:29,466 INFO [train.py:885] (1/2) Epoch 18, batch 1150, loss[loss=0.2652, simple_loss=0.3471, pruned_loss=0.09169, over 14320.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03793, over 210.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3512, pruned_loss=0.1068, over 2770300.82 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07049, over 43729.44 utterances.], batch size: 210, lr: 2.63e-04
+2022-09-18 12:22:59,182 INFO [train.py:885] (1/2) Epoch 18, batch 1200, loss[loss=0.3278, simple_loss=0.4234, pruned_loss=0.1161, over 13657.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07862, over 477.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3556, pruned_loss=0.109, over 2772549.75 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07227, over 45777.25 utterances.], batch size: 477, lr: 2.63e-04
+2022-09-18 12:23:29,033 INFO [train.py:885] (1/2) Epoch 18, batch 1250, loss[loss=0.3205, simple_loss=0.3925, pruned_loss=0.1243, over 14266.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04127, over 225.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3566, pruned_loss=0.109, over 2775588.79 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07409, over 46406.20 utterances.], batch size: 225, lr: 2.63e-04
+2022-09-18 12:23:58,527 INFO [train.py:885] (1/2) Epoch 18, batch 1300, loss[loss=0.2777, simple_loss=0.3543, pruned_loss=0.1005, over 14183.00 frames. utt_duration=187 frames, utt_pad_proportion=0.0458, over 306.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3504, pruned_loss=0.1065, over 2776004.73 frames. utt_duration=256.4 frames, utt_pad_proportion=0.07019, over 43555.81 utterances.], batch size: 306, lr: 2.63e-04
+2022-09-18 12:24:26,726 INFO [train.py:885] (1/2) Epoch 18, batch 1350, loss[loss=0.2256, simple_loss=0.2894, pruned_loss=0.08087, over 14090.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05325, over 98.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3518, pruned_loss=0.1075, over 2783787.65 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06794, over 43686.54 utterances.], batch size: 98, lr: 2.63e-04
+2022-09-18 12:24:56,716 INFO [train.py:885] (1/2) Epoch 18, batch 1400, loss[loss=0.3079, simple_loss=0.3777, pruned_loss=0.1191, over 14364.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03517, over 210.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3526, pruned_loss=0.1075, over 2787005.03 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06639, over 43601.26 utterances.], batch size: 210, lr: 2.63e-04
+2022-09-18 12:25:26,819 INFO [train.py:885] (1/2) Epoch 18, batch 1450, loss[loss=0.2311, simple_loss=0.2983, pruned_loss=0.08197, over 13609.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08298, over 50.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.356, pruned_loss=0.1102, over 2783408.24 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06979, over 45224.56 utterances.], batch size: 50, lr: 2.63e-04
+2022-09-18 12:25:56,514 INFO [train.py:885] (1/2) Epoch 18, batch 1500, loss[loss=0.2923, simple_loss=0.3782, pruned_loss=0.1032, over 14019.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05468, over 365.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3571, pruned_loss=0.1104, over 2782871.71 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07099, over 46592.93 utterances.], batch size: 365, lr: 2.63e-04
+2022-09-18 12:26:26,937 INFO [train.py:885] (1/2) Epoch 18, batch 1550, loss[loss=0.2617, simple_loss=0.3392, pruned_loss=0.0921, over 14350.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03893, over 167.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3565, pruned_loss=0.11, over 2779948.19 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07219, over 46413.73 utterances.], batch size: 167, lr: 2.63e-04
+2022-09-18 12:26:56,091 INFO [train.py:885] (1/2) Epoch 18, batch 1600, loss[loss=0.3187, simple_loss=0.3903, pruned_loss=0.1236, over 14318.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03837, over 195.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3578, pruned_loss=0.1106, over 2782932.49 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07186, over 46223.43 utterances.], batch size: 195, lr: 2.63e-04
+2022-09-18 12:27:25,850 INFO [train.py:885] (1/2) Epoch 18, batch 1650, loss[loss=0.3109, simple_loss=0.3737, pruned_loss=0.1241, over 14328.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03718, over 180.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3569, pruned_loss=0.1097, over 2778264.42 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07365, over 46527.30 utterances.], batch size: 180, lr: 2.63e-04
+2022-09-18 12:27:54,644 INFO [train.py:885] (1/2) Epoch 18, batch 1700, loss[loss=0.1725, simple_loss=0.2214, pruned_loss=0.06177, over 13127.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.1148, over 33.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.358, pruned_loss=0.1099, over 2780991.14 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07244, over 46982.18 utterances.], batch size: 33, lr: 2.63e-04
+2022-09-18 12:28:24,312 INFO [train.py:885] (1/2) Epoch 18, batch 1750, loss[loss=0.3654, simple_loss=0.4109, pruned_loss=0.1599, over 14314.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03904, over 283.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3558, pruned_loss=0.11, over 2786081.80 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06868, over 44993.87 utterances.], batch size: 283, lr: 2.63e-04
+2022-09-18 12:28:54,080 INFO [train.py:885] (1/2) Epoch 18, batch 1800, loss[loss=0.3758, simple_loss=0.4456, pruned_loss=0.153, over 13726.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07389, over 411.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.3574, pruned_loss=0.1101, over 2782690.70 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07096, over 46434.15 utterances.], batch size: 411, lr: 2.63e-04
+2022-09-18 12:29:24,094 INFO [train.py:885] (1/2) Epoch 18, batch 1850, loss[loss=0.5128, simple_loss=0.5937, pruned_loss=0.2159, over 12463.00 frames. utt_duration=62.98 frames, utt_pad_proportion=0.1489, over 811.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3545, pruned_loss=0.1083, over 2780284.17 frames. utt_duration=244.5 frames, utt_pad_proportion=0.0711, over 45761.82 utterances.], batch size: 811, lr: 2.63e-04
+2022-09-18 12:29:53,755 INFO [train.py:885] (1/2) Epoch 18, batch 1900, loss[loss=0.2347, simple_loss=0.3045, pruned_loss=0.08251, over 14290.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.0388, over 130.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3549, pruned_loss=0.1087, over 2779869.57 frames. utt_duration=245.2 frames, utt_pad_proportion=0.0713, over 45630.85 utterances.], batch size: 130, lr: 2.63e-04
+2022-09-18 12:30:23,146 INFO [train.py:885] (1/2) Epoch 18, batch 1950, loss[loss=0.2553, simple_loss=0.3314, pruned_loss=0.08957, over 14300.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04091, over 154.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3572, pruned_loss=0.1095, over 2782801.21 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07237, over 46331.42 utterances.], batch size: 154, lr: 2.63e-04
+2022-09-18 12:30:52,793 INFO [train.py:885] (1/2) Epoch 18, batch 2000, loss[loss=0.3614, simple_loss=0.4113, pruned_loss=0.1558, over 14216.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04414, over 335.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3563, pruned_loss=0.1095, over 2783435.53 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07162, over 45494.95 utterances.], batch size: 335, lr: 2.63e-04
+2022-09-18 12:31:22,383 INFO [train.py:885] (1/2) Epoch 18, batch 2050, loss[loss=0.2988, simple_loss=0.3934, pruned_loss=0.1021, over 13717.00 frames. utt_duration=134.9 frames, utt_pad_proportion=0.07573, over 411.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3544, pruned_loss=0.1085, over 2779389.34 frames. utt_duration=245 frames, utt_pad_proportion=0.07187, over 45649.81 utterances.], batch size: 411, lr: 2.63e-04
+2022-09-18 12:31:52,140 INFO [train.py:885] (1/2) Epoch 18, batch 2100, loss[loss=0.2517, simple_loss=0.3234, pruned_loss=0.08998, over 14248.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04549, over 141.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3541, pruned_loss=0.1087, over 2781362.42 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07126, over 45080.21 utterances.], batch size: 141, lr: 2.63e-04
+2022-09-18 12:32:21,323 INFO [train.py:885] (1/2) Epoch 18, batch 2150, loss[loss=0.2443, simple_loss=0.3192, pruned_loss=0.08473, over 14174.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.04471, over 109.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3552, pruned_loss=0.1099, over 2780718.66 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07081, over 45338.96 utterances.], batch size: 109, lr: 2.63e-04
+2022-09-18 12:32:51,744 INFO [train.py:885] (1/2) Epoch 18, batch 2200, loss[loss=0.2359, simple_loss=0.313, pruned_loss=0.0794, over 14280.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.04137, over 120.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.352, pruned_loss=0.1073, over 2779334.86 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07287, over 44139.96 utterances.], batch size: 120, lr: 2.63e-04
+2022-09-18 12:33:20,959 INFO [train.py:885] (1/2) Epoch 18, batch 2250, loss[loss=0.3646, simple_loss=0.4687, pruned_loss=0.1303, over 13112.00 frames. utt_duration=81.85 frames, utt_pad_proportion=0.1103, over 653.00 utterances.], tot_loss[loss=0.285, simple_loss=0.353, pruned_loss=0.1086, over 2784200.59 frames. utt_duration=253.5 frames, utt_pad_proportion=0.07071, over 44183.58 utterances.], batch size: 653, lr: 2.63e-04
+2022-09-18 12:33:50,734 INFO [train.py:885] (1/2) Epoch 18, batch 2300, loss[loss=0.2316, simple_loss=0.303, pruned_loss=0.08009, over 14103.00 frames. utt_duration=519.2 frames, utt_pad_proportion=0.04916, over 109.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3537, pruned_loss=0.1089, over 2784908.62 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07173, over 44630.34 utterances.], batch size: 109, lr: 2.63e-04
+2022-09-18 12:34:19,865 INFO [train.py:885] (1/2) Epoch 18, batch 2350, loss[loss=0.3202, simple_loss=0.3859, pruned_loss=0.1272, over 14351.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03376, over 244.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3531, pruned_loss=0.1082, over 2782145.25 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07141, over 45085.27 utterances.], batch size: 244, lr: 2.63e-04
+2022-09-18 12:34:49,913 INFO [train.py:885] (1/2) Epoch 18, batch 2400, loss[loss=0.3662, simple_loss=0.4523, pruned_loss=0.14, over 13615.00 frames. utt_duration=98.54 frames, utt_pad_proportion=0.07909, over 560.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3578, pruned_loss=0.111, over 2782721.42 frames. utt_duration=242.1 frames, utt_pad_proportion=0.0713, over 46250.03 utterances.], batch size: 560, lr: 2.63e-04
+2022-09-18 12:35:19,924 INFO [train.py:885] (1/2) Epoch 18, batch 2450, loss[loss=0.1888, simple_loss=0.2432, pruned_loss=0.06719, over 13979.00 frames. utt_duration=709.2 frames, utt_pad_proportion=0.06185, over 79.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3564, pruned_loss=0.1104, over 2776827.05 frames. utt_duration=243 frames, utt_pad_proportion=0.07323, over 45982.31 utterances.], batch size: 79, lr: 2.63e-04
+2022-09-18 12:35:49,308 INFO [train.py:885] (1/2) Epoch 18, batch 2500, loss[loss=0.2406, simple_loss=0.3252, pruned_loss=0.07807, over 14271.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04025, over 130.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3521, pruned_loss=0.1077, over 2777390.46 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07156, over 44612.49 utterances.], batch size: 130, lr: 2.63e-04
+2022-09-18 12:36:18,473 INFO [train.py:885] (1/2) Epoch 18, batch 2550, loss[loss=0.1917, simple_loss=0.2526, pruned_loss=0.0654, over 14069.00 frames. utt_duration=713.7 frames, utt_pad_proportion=0.05591, over 79.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3517, pruned_loss=0.107, over 2780047.96 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07129, over 44754.42 utterances.], batch size: 79, lr: 2.63e-04
+2022-09-18 12:36:48,249 INFO [train.py:885] (1/2) Epoch 18, batch 2600, loss[loss=0.3484, simple_loss=0.4335, pruned_loss=0.1317, over 13668.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07887, over 477.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3507, pruned_loss=0.1071, over 2781356.37 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06898, over 44307.29 utterances.], batch size: 477, lr: 2.63e-04
+2022-09-18 12:37:18,445 INFO [train.py:885] (1/2) Epoch 18, batch 2650, loss[loss=0.2338, simple_loss=0.3054, pruned_loss=0.08111, over 14334.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03788, over 120.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3546, pruned_loss=0.1086, over 2781801.99 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07039, over 46004.73 utterances.], batch size: 120, lr: 2.63e-04
+2022-09-18 12:37:47,866 INFO [train.py:885] (1/2) Epoch 18, batch 2700, loss[loss=0.2633, simple_loss=0.3279, pruned_loss=0.09933, over 14305.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.04158, over 120.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3522, pruned_loss=0.1079, over 2782237.74 frames. utt_duration=251.7 frames, utt_pad_proportion=0.0683, over 44477.60 utterances.], batch size: 120, lr: 2.63e-04
+2022-09-18 12:38:17,552 INFO [train.py:885] (1/2) Epoch 18, batch 2750, loss[loss=0.3257, simple_loss=0.4075, pruned_loss=0.122, over 13954.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05862, over 365.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3563, pruned_loss=0.1106, over 2781631.75 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07102, over 46002.20 utterances.], batch size: 365, lr: 2.63e-04
+2022-09-18 12:38:46,463 INFO [train.py:885] (1/2) Epoch 18, batch 2800, loss[loss=0.29, simple_loss=0.3671, pruned_loss=0.1065, over 14396.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03433, over 211.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3538, pruned_loss=0.1088, over 2780696.72 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07069, over 44911.18 utterances.], batch size: 211, lr: 2.62e-04
+2022-09-18 12:39:16,978 INFO [train.py:885] (1/2) Epoch 18, batch 2850, loss[loss=0.2223, simple_loss=0.2889, pruned_loss=0.07788, over 14301.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.04003, over 120.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3533, pruned_loss=0.1085, over 2785769.62 frames. utt_duration=253 frames, utt_pad_proportion=0.07, over 44296.08 utterances.], batch size: 120, lr: 2.62e-04
+2022-09-18 12:39:45,566 INFO [train.py:885] (1/2) Epoch 18, batch 2900, loss[loss=0.3108, simple_loss=0.3754, pruned_loss=0.1231, over 14322.00 frames. utt_duration=204 frames, utt_pad_proportion=0.0379, over 283.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3525, pruned_loss=0.1085, over 2784912.68 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06883, over 44025.30 utterances.], batch size: 283, lr: 2.62e-04
+2022-09-18 12:40:15,669 INFO [train.py:885] (1/2) Epoch 18, batch 2950, loss[loss=0.3463, simple_loss=0.4047, pruned_loss=0.144, over 14319.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03855, over 283.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3554, pruned_loss=0.1099, over 2791065.82 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06817, over 44902.11 utterances.], batch size: 283, lr: 2.62e-04
+2022-09-18 12:40:45,201 INFO [train.py:885] (1/2) Epoch 18, batch 3000, loss[loss=0.1913, simple_loss=0.2621, pruned_loss=0.06026, over 13782.00 frames. utt_duration=800.4 frames, utt_pad_proportion=0.06926, over 69.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3572, pruned_loss=0.1105, over 2789688.45 frames. utt_duration=248 frames, utt_pad_proportion=0.06769, over 45254.19 utterances.], batch size: 69, lr: 2.62e-04
+2022-09-18 12:40:45,201 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 12:40:49,332 INFO [train.py:914] (1/2) Epoch 18, validation: loss=0.2004, simple_loss=0.2787, pruned_loss=0.06103, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 12:41:19,171 INFO [train.py:885] (1/2) Epoch 18, batch 3050, loss[loss=0.3183, simple_loss=0.3849, pruned_loss=0.1258, over 14299.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.03947, over 226.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3507, pruned_loss=0.1076, over 2784265.28 frames. utt_duration=261.8 frames, utt_pad_proportion=0.06691, over 42783.88 utterances.], batch size: 226, lr: 2.62e-04
+2022-09-18 12:41:48,639 INFO [train.py:885] (1/2) Epoch 18, batch 3100, loss[loss=0.2034, simple_loss=0.2655, pruned_loss=0.07064, over 13269.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.09422, over 41.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3515, pruned_loss=0.1079, over 2784387.65 frames. utt_duration=259 frames, utt_pad_proportion=0.06817, over 43250.34 utterances.], batch size: 41, lr: 2.62e-04
+2022-09-18 12:42:18,026 INFO [train.py:885] (1/2) Epoch 18, batch 3150, loss[loss=0.1821, simple_loss=0.2328, pruned_loss=0.06567, over 12510.00 frames. utt_duration=2086 frames, utt_pad_proportion=0.1357, over 24.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3514, pruned_loss=0.1081, over 2783917.23 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06793, over 43794.53 utterances.], batch size: 24, lr: 2.62e-04
+2022-09-18 12:42:47,792 INFO [train.py:885] (1/2) Epoch 18, batch 3200, loss[loss=0.2267, simple_loss=0.2963, pruned_loss=0.07859, over 14032.00 frames. utt_duration=711.9 frames, utt_pad_proportion=0.05834, over 79.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3527, pruned_loss=0.1092, over 2784486.42 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06751, over 43946.12 utterances.], batch size: 79, lr: 2.62e-04
+2022-09-18 12:43:17,407 INFO [train.py:885] (1/2) Epoch 18, batch 3250, loss[loss=0.36, simple_loss=0.4123, pruned_loss=0.1538, over 14394.00 frames. utt_duration=237.5 frames, utt_pad_proportion=0.0346, over 244.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3543, pruned_loss=0.1099, over 2784914.39 frames. utt_duration=252.3 frames, utt_pad_proportion=0.0679, over 44407.43 utterances.], batch size: 244, lr: 2.62e-04
+2022-09-18 12:43:47,381 INFO [train.py:885] (1/2) Epoch 18, batch 3300, loss[loss=0.3082, simple_loss=0.4037, pruned_loss=0.1064, over 13739.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07274, over 411.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3547, pruned_loss=0.1098, over 2784527.18 frames. utt_duration=251 frames, utt_pad_proportion=0.06966, over 44633.92 utterances.], batch size: 411, lr: 2.62e-04
+2022-09-18 12:44:17,028 INFO [train.py:885] (1/2) Epoch 18, batch 3350, loss[loss=0.3598, simple_loss=0.4295, pruned_loss=0.145, over 13779.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07159, over 411.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3543, pruned_loss=0.1092, over 2785048.36 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06982, over 44963.33 utterances.], batch size: 411, lr: 2.62e-04
+2022-09-18 12:44:46,915 INFO [train.py:885] (1/2) Epoch 18, batch 3400, loss[loss=0.1696, simple_loss=0.2451, pruned_loss=0.04703, over 13099.00 frames. utt_duration=1590 frames, utt_pad_proportion=0.1179, over 33.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3576, pruned_loss=0.1107, over 2779574.50 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07317, over 46564.15 utterances.], batch size: 33, lr: 2.62e-04
+2022-09-18 12:45:16,280 INFO [train.py:885] (1/2) Epoch 18, batch 3450, loss[loss=0.2282, simple_loss=0.2929, pruned_loss=0.08179, over 14355.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.03679, over 130.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3519, pruned_loss=0.1081, over 2779571.16 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07142, over 44450.90 utterances.], batch size: 130, lr: 2.62e-04
+2022-09-18 12:45:45,928 INFO [train.py:885] (1/2) Epoch 18, batch 3500, loss[loss=0.1927, simple_loss=0.2634, pruned_loss=0.06104, over 14166.00 frames. utt_duration=579.7 frames, utt_pad_proportion=0.04809, over 98.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3538, pruned_loss=0.1091, over 2777336.34 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07342, over 44991.70 utterances.], batch size: 98, lr: 2.62e-04
+2022-09-18 12:46:15,135 INFO [train.py:885] (1/2) Epoch 18, batch 3550, loss[loss=0.3157, simple_loss=0.4141, pruned_loss=0.1087, over 13632.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08179, over 477.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3536, pruned_loss=0.1098, over 2777822.05 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07275, over 44312.23 utterances.], batch size: 477, lr: 2.62e-04
+2022-09-18 12:46:44,908 INFO [train.py:885] (1/2) Epoch 18, batch 3600, loss[loss=0.3771, simple_loss=0.4334, pruned_loss=0.1604, over 13992.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05858, over 366.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3546, pruned_loss=0.1102, over 2778062.27 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07217, over 45309.82 utterances.], batch size: 366, lr: 2.62e-04
+2022-09-18 12:47:13,734 INFO [train.py:885] (1/2) Epoch 18, batch 3650, loss[loss=0.2346, simple_loss=0.2999, pruned_loss=0.08463, over 14155.00 frames. utt_duration=637.6 frames, utt_pad_proportion=0.05118, over 89.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.358, pruned_loss=0.1114, over 2777883.57 frames. utt_duration=240 frames, utt_pad_proportion=0.07415, over 46594.10 utterances.], batch size: 89, lr: 2.62e-04
+2022-09-18 12:47:43,389 INFO [train.py:885] (1/2) Epoch 18, batch 3700, loss[loss=0.38, simple_loss=0.4583, pruned_loss=0.1508, over 13630.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.07734, over 560.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3584, pruned_loss=0.1112, over 2778996.79 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07431, over 47080.50 utterances.], batch size: 560, lr: 2.62e-04
+2022-09-18 12:48:13,730 INFO [train.py:885] (1/2) Epoch 18, batch 3750, loss[loss=0.5279, simple_loss=0.6065, pruned_loss=0.2247, over 12514.00 frames. utt_duration=63.39 frames, utt_pad_proportion=0.1434, over 810.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3545, pruned_loss=0.1089, over 2780827.40 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07243, over 45665.63 utterances.], batch size: 810, lr: 2.62e-04
+2022-09-18 12:48:42,650 INFO [train.py:885] (1/2) Epoch 18, batch 3800, loss[loss=0.2905, simple_loss=0.3671, pruned_loss=0.1069, over 14326.00 frames. utt_duration=204 frames, utt_pad_proportion=0.0375, over 283.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.348, pruned_loss=0.1054, over 2778583.42 frames. utt_duration=262.5 frames, utt_pad_proportion=0.07035, over 42583.56 utterances.], batch size: 283, lr: 2.62e-04
+2022-09-18 12:49:12,067 INFO [train.py:885] (1/2) Epoch 18, batch 3850, loss[loss=0.2447, simple_loss=0.3177, pruned_loss=0.08585, over 14326.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03986, over 120.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.344, pruned_loss=0.1036, over 2779006.71 frames. utt_duration=271.9 frames, utt_pad_proportion=0.06915, over 41102.02 utterances.], batch size: 120, lr: 2.62e-04
+2022-09-18 12:49:41,313 INFO [train.py:885] (1/2) Epoch 18, batch 3900, loss[loss=0.2581, simple_loss=0.3332, pruned_loss=0.09148, over 14331.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03991, over 167.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3449, pruned_loss=0.104, over 2778849.40 frames. utt_duration=269.5 frames, utt_pad_proportion=0.0701, over 41464.95 utterances.], batch size: 167, lr: 2.62e-04
+2022-09-18 12:50:10,727 INFO [train.py:885] (1/2) Epoch 18, batch 3950, loss[loss=0.4262, simple_loss=0.4975, pruned_loss=0.1774, over 13650.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08015, over 477.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3522, pruned_loss=0.1074, over 2780103.55 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07155, over 44239.25 utterances.], batch size: 477, lr: 2.62e-04
+2022-09-18 12:50:46,655 INFO [train.py:885] (1/2) Epoch 18, batch 4000, loss[loss=0.296, simple_loss=0.4008, pruned_loss=0.0956, over 13778.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07133, over 411.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3514, pruned_loss=0.1073, over 2774691.71 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07298, over 44194.81 utterances.], batch size: 411, lr: 2.62e-04
+2022-09-18 12:51:15,971 INFO [train.py:885] (1/2) Epoch 18, batch 4050, loss[loss=0.1464, simple_loss=0.2141, pruned_loss=0.03937, over 13353.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08806, over 41.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3488, pruned_loss=0.1062, over 2774792.21 frames. utt_duration=255.6 frames, utt_pad_proportion=0.07225, over 43676.11 utterances.], batch size: 41, lr: 2.62e-04
+2022-09-18 12:51:45,772 INFO [train.py:885] (1/2) Epoch 18, batch 4100, loss[loss=0.3086, simple_loss=0.3717, pruned_loss=0.1227, over 14338.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03476, over 244.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3517, pruned_loss=0.1083, over 2778825.54 frames. utt_duration=253.4 frames, utt_pad_proportion=0.0708, over 44119.93 utterances.], batch size: 244, lr: 2.62e-04
+2022-09-18 12:52:15,054 INFO [train.py:885] (1/2) Epoch 18, batch 4150, loss[loss=0.3791, simple_loss=0.428, pruned_loss=0.1651, over 14335.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03739, over 283.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3535, pruned_loss=0.109, over 2783867.47 frames. utt_duration=256.8 frames, utt_pad_proportion=0.06865, over 43609.27 utterances.], batch size: 283, lr: 2.62e-04
+2022-09-18 12:52:44,496 INFO [train.py:885] (1/2) Epoch 18, batch 4200, loss[loss=0.3497, simple_loss=0.4045, pruned_loss=0.1475, over 14361.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03517, over 210.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3508, pruned_loss=0.1077, over 2781362.11 frames. utt_duration=261.7 frames, utt_pad_proportion=0.06739, over 42752.47 utterances.], batch size: 210, lr: 2.62e-04
+2022-09-18 12:53:15,072 INFO [train.py:885] (1/2) Epoch 18, batch 4250, loss[loss=0.3953, simple_loss=0.4605, pruned_loss=0.1651, over 13815.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06874, over 411.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3523, pruned_loss=0.1083, over 2780157.67 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06908, over 43847.94 utterances.], batch size: 411, lr: 2.62e-04
+2022-09-18 12:53:44,333 INFO [train.py:885] (1/2) Epoch 18, batch 4300, loss[loss=0.3059, simple_loss=0.3739, pruned_loss=0.119, over 14324.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03852, over 262.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3506, pruned_loss=0.107, over 2783849.44 frames. utt_duration=260.8 frames, utt_pad_proportion=0.06662, over 42941.00 utterances.], batch size: 262, lr: 2.62e-04
+2022-09-18 12:54:14,259 INFO [train.py:885] (1/2) Epoch 18, batch 4350, loss[loss=0.2757, simple_loss=0.3519, pruned_loss=0.09975, over 14355.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.0358, over 226.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3512, pruned_loss=0.107, over 2783197.24 frames. utt_duration=258.7 frames, utt_pad_proportion=0.06781, over 43286.85 utterances.], batch size: 226, lr: 2.62e-04
+2022-09-18 12:54:43,850 INFO [train.py:885] (1/2) Epoch 18, batch 4400, loss[loss=0.2826, simple_loss=0.3388, pruned_loss=0.1132, over 14228.00 frames. utt_duration=640.9 frames, utt_pad_proportion=0.04486, over 89.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3481, pruned_loss=0.1055, over 2784176.67 frames. utt_duration=263.2 frames, utt_pad_proportion=0.06642, over 42550.18 utterances.], batch size: 89, lr: 2.62e-04
+2022-09-18 12:55:13,820 INFO [train.py:885] (1/2) Epoch 18, batch 4450, loss[loss=0.5106, simple_loss=0.6009, pruned_loss=0.2101, over 12470.00 frames. utt_duration=63.18 frames, utt_pad_proportion=0.1462, over 810.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3513, pruned_loss=0.1073, over 2785335.31 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06968, over 43643.04 utterances.], batch size: 810, lr: 2.61e-04
+2022-09-18 12:55:42,804 INFO [train.py:885] (1/2) Epoch 18, batch 4500, loss[loss=0.2046, simple_loss=0.2683, pruned_loss=0.07045, over 13959.00 frames. utt_duration=799.3 frames, utt_pad_proportion=0.06733, over 70.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3517, pruned_loss=0.1075, over 2788918.51 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06669, over 43621.29 utterances.], batch size: 70, lr: 2.61e-04
+2022-09-18 12:56:12,700 INFO [train.py:885] (1/2) Epoch 18, batch 4550, loss[loss=0.192, simple_loss=0.2501, pruned_loss=0.06694, over 12231.00 frames. utt_duration=2040 frames, utt_pad_proportion=0.1654, over 24.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3519, pruned_loss=0.1082, over 2786419.51 frames. utt_duration=258.2 frames, utt_pad_proportion=0.06765, over 43407.74 utterances.], batch size: 24, lr: 2.61e-04
+2022-09-18 12:56:41,882 INFO [train.py:885] (1/2) Epoch 18, batch 4600, loss[loss=0.2001, simple_loss=0.2635, pruned_loss=0.06841, over 13750.00 frames. utt_duration=918.2 frames, utt_pad_proportion=0.07815, over 60.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3517, pruned_loss=0.1079, over 2787972.66 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06696, over 43655.98 utterances.], batch size: 60, lr: 2.61e-04
+2022-09-18 12:57:11,318 INFO [train.py:885] (1/2) Epoch 18, batch 4650, loss[loss=0.3484, simple_loss=0.4079, pruned_loss=0.1444, over 14260.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04127, over 335.00 utterances.], tot_loss[loss=0.2916, simple_loss=0.3595, pruned_loss=0.1118, over 2786034.52 frames. utt_duration=238.9 frames, utt_pad_proportion=0.0701, over 46929.76 utterances.], batch size: 335, lr: 2.61e-04
+2022-09-18 12:57:40,707 INFO [train.py:885] (1/2) Epoch 18, batch 4700, loss[loss=0.287, simple_loss=0.3517, pruned_loss=0.1112, over 14351.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.0387, over 167.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3561, pruned_loss=0.1103, over 2789243.63 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06903, over 45301.83 utterances.], batch size: 167, lr: 2.61e-04
+2022-09-18 12:58:10,155 INFO [train.py:885] (1/2) Epoch 18, batch 4750, loss[loss=0.2645, simple_loss=0.3328, pruned_loss=0.09807, over 14284.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.03955, over 130.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3561, pruned_loss=0.11, over 2787329.16 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06834, over 45353.59 utterances.], batch size: 130, lr: 2.61e-04
+2022-09-18 12:58:40,114 INFO [train.py:885] (1/2) Epoch 18, batch 4800, loss[loss=0.3013, simple_loss=0.3715, pruned_loss=0.1155, over 14365.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03515, over 195.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3585, pruned_loss=0.111, over 2783732.57 frames. utt_duration=240.9 frames, utt_pad_proportion=0.0701, over 46501.11 utterances.], batch size: 195, lr: 2.61e-04
+2022-09-18 12:59:09,486 INFO [train.py:885] (1/2) Epoch 18, batch 4850, loss[loss=0.1669, simple_loss=0.2354, pruned_loss=0.04922, over 13187.00 frames. utt_duration=1600 frames, utt_pad_proportion=0.1136, over 33.00 utterances.], tot_loss[loss=0.2935, simple_loss=0.3619, pruned_loss=0.1125, over 2782738.30 frames. utt_duration=235 frames, utt_pad_proportion=0.07237, over 47658.81 utterances.], batch size: 33, lr: 2.61e-04
+2022-09-18 12:59:38,822 INFO [train.py:885] (1/2) Epoch 18, batch 4900, loss[loss=0.2749, simple_loss=0.3722, pruned_loss=0.0888, over 14003.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05571, over 365.00 utterances.], tot_loss[loss=0.2908, simple_loss=0.3592, pruned_loss=0.1112, over 2783718.32 frames. utt_duration=238.7 frames, utt_pad_proportion=0.0705, over 46937.14 utterances.], batch size: 365, lr: 2.61e-04
+2022-09-18 13:00:08,497 INFO [train.py:885] (1/2) Epoch 18, batch 4950, loss[loss=0.2466, simple_loss=0.3252, pruned_loss=0.08405, over 14326.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03797, over 120.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3612, pruned_loss=0.1117, over 2779608.09 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07211, over 48098.45 utterances.], batch size: 120, lr: 2.61e-04
+2022-09-18 13:00:37,318 INFO [train.py:885] (1/2) Epoch 18, batch 5000, loss[loss=0.2091, simple_loss=0.2783, pruned_loss=0.06991, over 14252.00 frames. utt_duration=642.2 frames, utt_pad_proportion=0.04295, over 89.00 utterances.], tot_loss[loss=0.2904, simple_loss=0.3594, pruned_loss=0.1107, over 2779668.79 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07183, over 47480.96 utterances.], batch size: 89, lr: 2.61e-04
+2022-09-18 13:01:07,933 INFO [train.py:885] (1/2) Epoch 18, batch 5050, loss[loss=0.2114, simple_loss=0.2727, pruned_loss=0.07505, over 13874.00 frames. utt_duration=805.9 frames, utt_pad_proportion=0.06182, over 69.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3554, pruned_loss=0.1084, over 2783222.30 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06971, over 45552.71 utterances.], batch size: 69, lr: 2.61e-04
+2022-09-18 13:01:37,375 INFO [train.py:885] (1/2) Epoch 18, batch 5100, loss[loss=0.367, simple_loss=0.4627, pruned_loss=0.1356, over 13127.00 frames. utt_duration=81.91 frames, utt_pad_proportion=0.1097, over 653.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3539, pruned_loss=0.1085, over 2783568.08 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07099, over 45132.78 utterances.], batch size: 653, lr: 2.61e-04
+2022-09-18 13:02:07,187 INFO [train.py:885] (1/2) Epoch 18, batch 5150, loss[loss=0.522, simple_loss=0.5813, pruned_loss=0.2314, over 13140.00 frames. utt_duration=81.94 frames, utt_pad_proportion=0.1094, over 653.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3504, pruned_loss=0.1067, over 2779699.79 frames. utt_duration=255 frames, utt_pad_proportion=0.07111, over 43863.37 utterances.], batch size: 653, lr: 2.61e-04
+2022-09-18 13:02:36,967 INFO [train.py:885] (1/2) Epoch 18, batch 5200, loss[loss=0.4004, simple_loss=0.4919, pruned_loss=0.1545, over 13122.00 frames. utt_duration=81.94 frames, utt_pad_proportion=0.1094, over 653.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3527, pruned_loss=0.1072, over 2774269.13 frames. utt_duration=246.8 frames, utt_pad_proportion=0.0731, over 45234.31 utterances.], batch size: 653, lr: 2.61e-04
+2022-09-18 13:03:06,170 INFO [train.py:885] (1/2) Epoch 18, batch 5250, loss[loss=0.23, simple_loss=0.2971, pruned_loss=0.08141, over 14309.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03922, over 120.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3531, pruned_loss=0.108, over 2779575.85 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07222, over 45405.85 utterances.], batch size: 120, lr: 2.61e-04
+2022-09-18 13:03:35,263 INFO [train.py:885] (1/2) Epoch 18, batch 5300, loss[loss=0.2872, simple_loss=0.3585, pruned_loss=0.1079, over 14294.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03899, over 180.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.352, pruned_loss=0.1084, over 2778557.82 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07081, over 44373.44 utterances.], batch size: 180, lr: 2.61e-04
+2022-09-18 13:04:04,631 INFO [train.py:885] (1/2) Epoch 18, batch 5350, loss[loss=0.3373, simple_loss=0.4257, pruned_loss=0.1245, over 13624.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08108, over 477.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3503, pruned_loss=0.1071, over 2780973.33 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06816, over 44158.74 utterances.], batch size: 477, lr: 2.61e-04
+2022-09-18 13:04:34,456 INFO [train.py:885] (1/2) Epoch 18, batch 5400, loss[loss=0.3854, simple_loss=0.4751, pruned_loss=0.1478, over 13177.00 frames. utt_duration=82.28 frames, utt_pad_proportion=0.1056, over 653.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3538, pruned_loss=0.1083, over 2780034.85 frames. utt_duration=243 frames, utt_pad_proportion=0.07072, over 46050.63 utterances.], batch size: 653, lr: 2.61e-04
+2022-09-18 13:05:03,608 INFO [train.py:885] (1/2) Epoch 18, batch 5450, loss[loss=0.1971, simple_loss=0.2507, pruned_loss=0.07181, over 13892.00 frames. utt_duration=807 frames, utt_pad_proportion=0.06057, over 69.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3518, pruned_loss=0.1075, over 2785558.02 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06854, over 44321.37 utterances.], batch size: 69, lr: 2.61e-04
+2022-09-18 13:05:34,733 INFO [train.py:885] (1/2) Epoch 18, batch 5500, loss[loss=0.173, simple_loss=0.2487, pruned_loss=0.04866, over 13284.00 frames. utt_duration=1612 frames, utt_pad_proportion=0.09149, over 33.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3529, pruned_loss=0.1083, over 2782008.89 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07113, over 44928.13 utterances.], batch size: 33, lr: 2.61e-04
+2022-09-18 13:06:05,907 INFO [train.py:885] (1/2) Epoch 18, batch 5550, loss[loss=0.5207, simple_loss=0.5967, pruned_loss=0.2223, over 12430.00 frames. utt_duration=62.98 frames, utt_pad_proportion=0.1489, over 810.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3544, pruned_loss=0.1094, over 2787289.83 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06907, over 44943.06 utterances.], batch size: 810, lr: 2.61e-04
+2022-09-18 13:06:35,388 INFO [train.py:885] (1/2) Epoch 18, batch 5600, loss[loss=0.2356, simple_loss=0.3053, pruned_loss=0.08292, over 14108.00 frames. utt_duration=577.5 frames, utt_pad_proportion=0.05179, over 98.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3538, pruned_loss=0.1085, over 2790583.64 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06796, over 44623.65 utterances.], batch size: 98, lr: 2.61e-04
+2022-09-18 13:07:04,807 INFO [train.py:885] (1/2) Epoch 18, batch 5650, loss[loss=0.2095, simple_loss=0.2846, pruned_loss=0.06725, over 14186.00 frames. utt_duration=639.1 frames, utt_pad_proportion=0.04752, over 89.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3561, pruned_loss=0.1098, over 2780952.66 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07078, over 45888.84 utterances.], batch size: 89, lr: 2.61e-04
+2022-09-18 13:07:34,458 INFO [train.py:885] (1/2) Epoch 18, batch 5700, loss[loss=0.3899, simple_loss=0.4811, pruned_loss=0.1493, over 13184.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.106, over 653.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3539, pruned_loss=0.1089, over 2781327.72 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07121, over 44690.09 utterances.], batch size: 653, lr: 2.61e-04
+2022-09-18 13:08:04,148 INFO [train.py:885] (1/2) Epoch 18, batch 5750, loss[loss=0.1906, simple_loss=0.2413, pruned_loss=0.06998, over 13553.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.0784, over 50.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3559, pruned_loss=0.11, over 2778758.88 frames. utt_duration=246.2 frames, utt_pad_proportion=0.0729, over 45424.62 utterances.], batch size: 50, lr: 2.61e-04
+2022-09-18 13:08:33,749 INFO [train.py:885] (1/2) Epoch 18, batch 5800, loss[loss=0.2113, simple_loss=0.281, pruned_loss=0.0708, over 13371.00 frames. utt_duration=1071 frames, utt_pad_proportion=0.0914, over 50.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3519, pruned_loss=0.1076, over 2780054.48 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07339, over 44059.76 utterances.], batch size: 50, lr: 2.61e-04
+2022-09-18 13:09:03,080 INFO [train.py:885] (1/2) Epoch 18, batch 5850, loss[loss=0.1942, simple_loss=0.2573, pruned_loss=0.06548, over 12293.00 frames. utt_duration=2050 frames, utt_pad_proportion=0.157, over 24.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3558, pruned_loss=0.1095, over 2780844.04 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07351, over 45915.93 utterances.], batch size: 24, lr: 2.61e-04
+2022-09-18 13:09:32,721 INFO [train.py:885] (1/2) Epoch 18, batch 5900, loss[loss=0.3561, simple_loss=0.4066, pruned_loss=0.1528, over 14218.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04396, over 335.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3566, pruned_loss=0.1094, over 2774623.34 frames. utt_duration=235 frames, utt_pad_proportion=0.07533, over 47530.89 utterances.], batch size: 335, lr: 2.61e-04
+2022-09-18 13:10:02,190 INFO [train.py:885] (1/2) Epoch 18, batch 5950, loss[loss=0.3565, simple_loss=0.4044, pruned_loss=0.1543, over 14278.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04265, over 154.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3565, pruned_loss=0.1098, over 2776438.88 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07479, over 46939.46 utterances.], batch size: 154, lr: 2.61e-04
+2022-09-18 13:10:31,344 INFO [train.py:885] (1/2) Epoch 18, batch 6000, loss[loss=0.2409, simple_loss=0.3163, pruned_loss=0.08274, over 14128.00 frames. utt_duration=519.8 frames, utt_pad_proportion=0.04801, over 109.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3562, pruned_loss=0.1094, over 2776111.67 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07484, over 46708.90 utterances.], batch size: 109, lr: 2.61e-04
+2022-09-18 13:10:31,345 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 13:10:35,537 INFO [train.py:914] (1/2) Epoch 18, validation: loss=0.1964, simple_loss=0.275, pruned_loss=0.05895, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 13:11:05,085 INFO [train.py:885] (1/2) Epoch 18, batch 6050, loss[loss=0.3737, simple_loss=0.4259, pruned_loss=0.1607, over 14194.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04495, over 306.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3536, pruned_loss=0.108, over 2778077.88 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07184, over 45427.91 utterances.], batch size: 306, lr: 2.61e-04
+2022-09-18 13:11:35,002 INFO [train.py:885] (1/2) Epoch 18, batch 6100, loss[loss=0.3013, simple_loss=0.3925, pruned_loss=0.105, over 13935.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.06001, over 365.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.3566, pruned_loss=0.1095, over 2781942.41 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07097, over 46404.17 utterances.], batch size: 365, lr: 2.61e-04
+2022-09-18 13:12:04,915 INFO [train.py:885] (1/2) Epoch 18, batch 6150, loss[loss=0.3451, simple_loss=0.3995, pruned_loss=0.1453, over 14187.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04492, over 306.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3577, pruned_loss=0.1102, over 2784984.44 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07037, over 46488.53 utterances.], batch size: 306, lr: 2.60e-04
+2022-09-18 13:12:34,763 INFO [train.py:885] (1/2) Epoch 18, batch 6200, loss[loss=0.2033, simple_loss=0.2764, pruned_loss=0.06508, over 13664.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.07865, over 42.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3589, pruned_loss=0.1107, over 2783033.74 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07205, over 47253.96 utterances.], batch size: 42, lr: 2.60e-04
+2022-09-18 13:13:04,116 INFO [train.py:885] (1/2) Epoch 18, batch 6250, loss[loss=0.1966, simple_loss=0.2628, pruned_loss=0.0652, over 13330.00 frames. utt_duration=2052 frames, utt_pad_proportion=0.09048, over 26.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3559, pruned_loss=0.1092, over 2780331.71 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07086, over 45875.28 utterances.], batch size: 26, lr: 2.60e-04
+2022-09-18 13:13:34,068 INFO [train.py:885] (1/2) Epoch 18, batch 6300, loss[loss=0.4039, simple_loss=0.4935, pruned_loss=0.1571, over 13157.00 frames. utt_duration=82.16 frames, utt_pad_proportion=0.1069, over 653.00 utterances.], tot_loss[loss=0.2896, simple_loss=0.3577, pruned_loss=0.1107, over 2782422.25 frames. utt_duration=242 frames, utt_pad_proportion=0.07149, over 46266.67 utterances.], batch size: 653, lr: 2.60e-04
+2022-09-18 13:14:03,653 INFO [train.py:885] (1/2) Epoch 18, batch 6350, loss[loss=0.1848, simple_loss=0.2479, pruned_loss=0.06091, over 13860.00 frames. utt_duration=925.6 frames, utt_pad_proportion=0.06978, over 60.00 utterances.], tot_loss[loss=0.2907, simple_loss=0.3589, pruned_loss=0.1113, over 2783698.06 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07251, over 47195.00 utterances.], batch size: 60, lr: 2.60e-04
+2022-09-18 13:14:33,514 INFO [train.py:885] (1/2) Epoch 18, batch 6400, loss[loss=0.3311, simple_loss=0.4256, pruned_loss=0.1183, over 13596.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08321, over 477.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3542, pruned_loss=0.109, over 2781764.09 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07071, over 45374.50 utterances.], batch size: 477, lr: 2.60e-04
+2022-09-18 13:15:02,960 INFO [train.py:885] (1/2) Epoch 18, batch 6450, loss[loss=0.1647, simple_loss=0.2199, pruned_loss=0.05479, over 13209.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1128, over 33.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3545, pruned_loss=0.1092, over 2784379.92 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07017, over 45020.14 utterances.], batch size: 33, lr: 2.60e-04
+2022-09-18 13:15:33,022 INFO [train.py:885] (1/2) Epoch 18, batch 6500, loss[loss=0.2671, simple_loss=0.3456, pruned_loss=0.09435, over 14302.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03874, over 180.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3558, pruned_loss=0.1098, over 2785613.67 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06868, over 45533.41 utterances.], batch size: 180, lr: 2.60e-04
+2022-09-18 13:16:01,925 INFO [train.py:885] (1/2) Epoch 18, batch 6550, loss[loss=0.1655, simple_loss=0.2214, pruned_loss=0.05484, over 13052.00 frames. utt_duration=1583 frames, utt_pad_proportion=0.1247, over 33.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3497, pruned_loss=0.1069, over 2782845.70 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06791, over 43613.01 utterances.], batch size: 33, lr: 2.60e-04
+2022-09-18 13:16:32,078 INFO [train.py:885] (1/2) Epoch 18, batch 6600, loss[loss=0.3814, simple_loss=0.423, pruned_loss=0.1698, over 14256.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04196, over 335.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3565, pruned_loss=0.1097, over 2784533.20 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07168, over 46278.07 utterances.], batch size: 335, lr: 2.60e-04
+2022-09-18 13:17:00,767 INFO [train.py:885] (1/2) Epoch 18, batch 6650, loss[loss=0.2625, simple_loss=0.3414, pruned_loss=0.09182, over 14369.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03508, over 195.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3532, pruned_loss=0.1073, over 2787112.14 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07097, over 45233.26 utterances.], batch size: 195, lr: 2.60e-04
+2022-09-18 13:17:30,962 INFO [train.py:885] (1/2) Epoch 18, batch 6700, loss[loss=0.192, simple_loss=0.2563, pruned_loss=0.06391, over 13391.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.08647, over 41.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3523, pruned_loss=0.1067, over 2788691.44 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07003, over 44945.27 utterances.], batch size: 41, lr: 2.60e-04
+2022-09-18 13:18:00,939 INFO [train.py:885] (1/2) Epoch 18, batch 6750, loss[loss=0.1905, simple_loss=0.2538, pruned_loss=0.06356, over 14055.00 frames. utt_duration=804.6 frames, utt_pad_proportion=0.06003, over 70.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3524, pruned_loss=0.1066, over 2788041.69 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06932, over 44908.56 utterances.], batch size: 70, lr: 2.60e-04
+2022-09-18 13:18:29,980 INFO [train.py:885] (1/2) Epoch 18, batch 6800, loss[loss=0.3628, simple_loss=0.4312, pruned_loss=0.1472, over 13954.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05912, over 365.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3534, pruned_loss=0.1067, over 2786871.63 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06986, over 45176.07 utterances.], batch size: 365, lr: 2.60e-04
+2022-09-18 13:18:59,874 INFO [train.py:885] (1/2) Epoch 18, batch 6850, loss[loss=0.3723, simple_loss=0.4667, pruned_loss=0.1389, over 13106.00 frames. utt_duration=81.79 frames, utt_pad_proportion=0.1109, over 653.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3586, pruned_loss=0.11, over 2784017.99 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07036, over 47163.46 utterances.], batch size: 653, lr: 2.60e-04
+2022-09-18 13:19:29,029 INFO [train.py:885] (1/2) Epoch 18, batch 6900, loss[loss=0.3935, simple_loss=0.427, pruned_loss=0.18, over 14316.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0388, over 283.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3561, pruned_loss=0.1093, over 2781577.50 frames. utt_duration=241.3 frames, utt_pad_proportion=0.0697, over 46401.97 utterances.], batch size: 283, lr: 2.60e-04
+2022-09-18 13:19:58,948 INFO [train.py:885] (1/2) Epoch 18, batch 6950, loss[loss=0.1818, simple_loss=0.2393, pruned_loss=0.06215, over 13473.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.09238, over 50.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3537, pruned_loss=0.1081, over 2781887.99 frames. utt_duration=246.5 frames, utt_pad_proportion=0.06977, over 45419.49 utterances.], batch size: 50, lr: 2.60e-04
+2022-09-18 13:20:28,198 INFO [train.py:885] (1/2) Epoch 18, batch 7000, loss[loss=0.3167, simple_loss=0.3713, pruned_loss=0.1311, over 14284.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03957, over 180.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.3582, pruned_loss=0.1104, over 2782218.55 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07137, over 47311.68 utterances.], batch size: 180, lr: 2.60e-04
+2022-09-18 13:20:57,952 INFO [train.py:885] (1/2) Epoch 18, batch 7050, loss[loss=0.1978, simple_loss=0.2714, pruned_loss=0.06204, over 14261.00 frames. utt_duration=642.6 frames, utt_pad_proportion=0.0423, over 89.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3565, pruned_loss=0.1087, over 2783088.31 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07077, over 46974.46 utterances.], batch size: 89, lr: 2.60e-04
+2022-09-18 13:21:27,382 INFO [train.py:885] (1/2) Epoch 18, batch 7100, loss[loss=0.3216, simple_loss=0.4146, pruned_loss=0.1143, over 13617.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08166, over 477.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3548, pruned_loss=0.1085, over 2781986.24 frames. utt_duration=243.3 frames, utt_pad_proportion=0.06976, over 46026.25 utterances.], batch size: 477, lr: 2.60e-04
+2022-09-18 13:21:56,758 INFO [train.py:885] (1/2) Epoch 18, batch 7150, loss[loss=0.3717, simple_loss=0.4748, pruned_loss=0.1343, over 13129.00 frames. utt_duration=82.04 frames, utt_pad_proportion=0.1082, over 653.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3557, pruned_loss=0.1098, over 2781804.88 frames. utt_duration=243.1 frames, utt_pad_proportion=0.0712, over 46054.42 utterances.], batch size: 653, lr: 2.60e-04
+2022-09-18 13:22:26,366 INFO [train.py:885] (1/2) Epoch 18, batch 7200, loss[loss=0.3477, simple_loss=0.4338, pruned_loss=0.1308, over 13617.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08161, over 477.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3576, pruned_loss=0.1103, over 2778054.20 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07159, over 46910.36 utterances.], batch size: 477, lr: 2.60e-04
+2022-09-18 13:22:55,383 INFO [train.py:885] (1/2) Epoch 18, batch 7250, loss[loss=0.3039, simple_loss=0.3775, pruned_loss=0.1152, over 14303.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.0399, over 283.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3562, pruned_loss=0.1087, over 2776506.08 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07234, over 47095.18 utterances.], batch size: 283, lr: 2.60e-04
+2022-09-18 13:23:25,376 INFO [train.py:885] (1/2) Epoch 18, batch 7300, loss[loss=0.1937, simple_loss=0.2627, pruned_loss=0.06232, over 13542.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08531, over 50.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3514, pruned_loss=0.1063, over 2773125.47 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07413, over 45588.49 utterances.], batch size: 50, lr: 2.60e-04
+2022-09-18 13:23:54,628 INFO [train.py:885] (1/2) Epoch 18, batch 7350, loss[loss=0.1648, simple_loss=0.2304, pruned_loss=0.04958, over 13359.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08763, over 41.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3489, pruned_loss=0.1054, over 2777367.85 frames. utt_duration=255.6 frames, utt_pad_proportion=0.07151, over 43712.31 utterances.], batch size: 41, lr: 2.60e-04
+2022-09-18 13:24:23,936 INFO [train.py:885] (1/2) Epoch 18, batch 7400, loss[loss=0.4085, simple_loss=0.474, pruned_loss=0.1715, over 13717.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07424, over 411.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3512, pruned_loss=0.1067, over 2774340.05 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07387, over 44764.76 utterances.], batch size: 411, lr: 2.60e-04
+2022-09-18 13:24:53,303 INFO [train.py:885] (1/2) Epoch 18, batch 7450, loss[loss=0.2457, simple_loss=0.3125, pruned_loss=0.08949, over 14234.00 frames. utt_duration=476 frames, utt_pad_proportion=0.04614, over 120.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3554, pruned_loss=0.1081, over 2766679.73 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07707, over 46883.25 utterances.], batch size: 120, lr: 2.60e-04
+2022-09-18 13:25:22,684 INFO [train.py:885] (1/2) Epoch 18, batch 7500, loss[loss=0.3018, simple_loss=0.3982, pruned_loss=0.1027, over 13629.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08161, over 477.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3539, pruned_loss=0.1065, over 2772452.35 frames. utt_duration=239 frames, utt_pad_proportion=0.075, over 46692.65 utterances.], batch size: 477, lr: 2.60e-04
+2022-09-18 13:25:52,545 INFO [train.py:885] (1/2) Epoch 18, batch 7550, loss[loss=0.5718, simple_loss=0.63, pruned_loss=0.2568, over 12455.00 frames. utt_duration=62.99 frames, utt_pad_proportion=0.1488, over 811.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3556, pruned_loss=0.1073, over 2778885.34 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07279, over 46832.80 utterances.], batch size: 811, lr: 2.60e-04
+2022-09-18 13:26:22,154 INFO [train.py:885] (1/2) Epoch 18, batch 7600, loss[loss=0.3127, simple_loss=0.3765, pruned_loss=0.1245, over 14396.00 frames. utt_duration=237.5 frames, utt_pad_proportion=0.03061, over 244.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.354, pruned_loss=0.1064, over 2784669.11 frames. utt_duration=240 frames, utt_pad_proportion=0.07052, over 46688.15 utterances.], batch size: 244, lr: 2.60e-04
+2022-09-18 13:26:51,904 INFO [train.py:885] (1/2) Epoch 18, batch 7650, loss[loss=0.3986, simple_loss=0.4661, pruned_loss=0.1656, over 13823.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06853, over 411.00 utterances.], tot_loss[loss=0.2889, simple_loss=0.3588, pruned_loss=0.1095, over 2787004.34 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07163, over 48097.09 utterances.], batch size: 411, lr: 2.60e-04
+2022-09-18 13:27:21,367 INFO [train.py:885] (1/2) Epoch 18, batch 7700, loss[loss=0.2054, simple_loss=0.278, pruned_loss=0.06643, over 13563.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.08805, over 42.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3558, pruned_loss=0.1082, over 2784578.43 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07018, over 46575.25 utterances.], batch size: 42, lr: 2.60e-04
+2022-09-18 13:27:50,336 INFO [train.py:885] (1/2) Epoch 18, batch 7750, loss[loss=0.1548, simple_loss=0.2067, pruned_loss=0.05144, over 13592.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.08427, over 42.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3497, pruned_loss=0.1061, over 2786472.80 frames. utt_duration=258.8 frames, utt_pad_proportion=0.06706, over 43315.35 utterances.], batch size: 42, lr: 2.60e-04
+2022-09-18 13:28:20,935 INFO [train.py:885] (1/2) Epoch 18, batch 7800, loss[loss=0.2022, simple_loss=0.2682, pruned_loss=0.06816, over 13520.00 frames. utt_duration=1321 frames, utt_pad_proportion=0.07838, over 41.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3481, pruned_loss=0.1054, over 2784962.67 frames. utt_duration=261.7 frames, utt_pad_proportion=0.06861, over 42807.21 utterances.], batch size: 41, lr: 2.60e-04
+2022-09-18 13:28:49,862 INFO [train.py:885] (1/2) Epoch 18, batch 7850, loss[loss=0.3123, simple_loss=0.3808, pruned_loss=0.1219, over 14319.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03832, over 283.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3468, pruned_loss=0.1047, over 2784569.87 frames. utt_duration=263.2 frames, utt_pad_proportion=0.06809, over 42551.39 utterances.], batch size: 283, lr: 2.59e-04
+2022-09-18 13:29:19,778 INFO [train.py:885] (1/2) Epoch 18, batch 7900, loss[loss=0.3159, simple_loss=0.4024, pruned_loss=0.1147, over 13739.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07369, over 411.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3502, pruned_loss=0.1059, over 2777364.59 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07151, over 44258.99 utterances.], batch size: 411, lr: 2.59e-04
+2022-09-18 13:29:49,074 INFO [train.py:885] (1/2) Epoch 18, batch 7950, loss[loss=0.305, simple_loss=0.3729, pruned_loss=0.1185, over 14327.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03774, over 210.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3516, pruned_loss=0.1068, over 2780338.72 frames. utt_duration=250.2 frames, utt_pad_proportion=0.071, over 44718.68 utterances.], batch size: 210, lr: 2.59e-04
+2022-09-18 13:30:19,031 INFO [train.py:885] (1/2) Epoch 18, batch 8000, loss[loss=0.3326, simple_loss=0.4285, pruned_loss=0.1184, over 13655.00 frames. utt_duration=98.92 frames, utt_pad_proportion=0.07552, over 560.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.355, pruned_loss=0.1084, over 2777725.76 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07345, over 47088.25 utterances.], batch size: 560, lr: 2.59e-04
+2022-09-18 13:30:48,477 INFO [train.py:885] (1/2) Epoch 18, batch 8050, loss[loss=0.2889, simple_loss=0.3604, pruned_loss=0.1088, over 14277.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.04237, over 154.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3538, pruned_loss=0.1081, over 2780060.82 frames. utt_duration=243 frames, utt_pad_proportion=0.0718, over 46050.42 utterances.], batch size: 154, lr: 2.59e-04
+2022-09-18 13:31:17,586 INFO [train.py:885] (1/2) Epoch 18, batch 8100, loss[loss=0.5562, simple_loss=0.6155, pruned_loss=0.2484, over 12532.00 frames. utt_duration=63.41 frames, utt_pad_proportion=0.1431, over 811.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3555, pruned_loss=0.1086, over 2776592.29 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07449, over 46781.89 utterances.], batch size: 811, lr: 2.59e-04
+2022-09-18 13:31:47,159 INFO [train.py:885] (1/2) Epoch 18, batch 8150, loss[loss=0.2463, simple_loss=0.3139, pruned_loss=0.08937, over 14091.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05327, over 98.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3514, pruned_loss=0.1067, over 2776120.80 frames. utt_duration=246 frames, utt_pad_proportion=0.07343, over 45406.84 utterances.], batch size: 98, lr: 2.59e-04
+2022-09-18 13:32:16,727 INFO [train.py:885] (1/2) Epoch 18, batch 8200, loss[loss=0.3478, simple_loss=0.4099, pruned_loss=0.1428, over 14208.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.044, over 306.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3496, pruned_loss=0.1058, over 2772012.72 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07345, over 44563.06 utterances.], batch size: 306, lr: 2.59e-04
+2022-09-18 13:32:46,492 INFO [train.py:885] (1/2) Epoch 18, batch 8250, loss[loss=0.224, simple_loss=0.2907, pruned_loss=0.07872, over 14136.00 frames. utt_duration=578.4 frames, utt_pad_proportion=0.0502, over 98.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3473, pruned_loss=0.105, over 2777817.38 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06996, over 43298.01 utterances.], batch size: 98, lr: 2.59e-04
+2022-09-18 13:33:16,115 INFO [train.py:885] (1/2) Epoch 18, batch 8300, loss[loss=0.2127, simple_loss=0.2806, pruned_loss=0.07246, over 13972.00 frames. utt_duration=708.8 frames, utt_pad_proportion=0.06249, over 79.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3482, pruned_loss=0.1054, over 2775878.54 frames. utt_duration=256.8 frames, utt_pad_proportion=0.07095, over 43489.12 utterances.], batch size: 79, lr: 2.59e-04
+2022-09-18 13:33:45,502 INFO [train.py:885] (1/2) Epoch 18, batch 8350, loss[loss=0.174, simple_loss=0.2207, pruned_loss=0.06362, over 13438.00 frames. utt_duration=1630 frames, utt_pad_proportion=0.09521, over 33.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3487, pruned_loss=0.1058, over 2778956.30 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06965, over 43727.18 utterances.], batch size: 33, lr: 2.59e-04
+2022-09-18 13:34:15,037 INFO [train.py:885] (1/2) Epoch 18, batch 8400, loss[loss=0.33, simple_loss=0.3922, pruned_loss=0.1339, over 14310.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03799, over 180.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3487, pruned_loss=0.1054, over 2781709.60 frames. utt_duration=255.5 frames, utt_pad_proportion=0.067, over 43802.40 utterances.], batch size: 180, lr: 2.59e-04
+2022-09-18 13:34:44,471 INFO [train.py:885] (1/2) Epoch 18, batch 8450, loss[loss=0.1518, simple_loss=0.202, pruned_loss=0.05083, over 12248.00 frames. utt_duration=2043 frames, utt_pad_proportion=0.1768, over 24.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3513, pruned_loss=0.1069, over 2782528.15 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06834, over 44925.72 utterances.], batch size: 24, lr: 2.59e-04
+2022-09-18 13:35:14,312 INFO [train.py:885] (1/2) Epoch 18, batch 8500, loss[loss=0.2018, simple_loss=0.2761, pruned_loss=0.06369, over 13802.00 frames. utt_duration=921.7 frames, utt_pad_proportion=0.07365, over 60.00 utterances.], tot_loss[loss=0.282, simple_loss=0.351, pruned_loss=0.1065, over 2776503.64 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07009, over 45075.40 utterances.], batch size: 60, lr: 2.59e-04
+2022-09-18 13:35:43,741 INFO [train.py:885] (1/2) Epoch 18, batch 8550, loss[loss=0.3418, simple_loss=0.3942, pruned_loss=0.1447, over 14246.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04217, over 335.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3514, pruned_loss=0.1064, over 2778016.16 frames. utt_duration=244.2 frames, utt_pad_proportion=0.0709, over 45778.67 utterances.], batch size: 335, lr: 2.59e-04
+2022-09-18 13:36:13,071 INFO [train.py:885] (1/2) Epoch 18, batch 8600, loss[loss=0.2613, simple_loss=0.3356, pruned_loss=0.09352, over 14330.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03674, over 154.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3522, pruned_loss=0.1071, over 2779872.08 frames. utt_duration=245.6 frames, utt_pad_proportion=0.06856, over 45545.99 utterances.], batch size: 154, lr: 2.59e-04
+2022-09-18 13:36:42,687 INFO [train.py:885] (1/2) Epoch 18, batch 8650, loss[loss=0.2214, simple_loss=0.3024, pruned_loss=0.07018, over 14290.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.03935, over 130.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3519, pruned_loss=0.1067, over 2781646.79 frames. utt_duration=244.2 frames, utt_pad_proportion=0.0688, over 45830.32 utterances.], batch size: 130, lr: 2.59e-04
+2022-09-18 13:37:12,328 INFO [train.py:885] (1/2) Epoch 18, batch 8700, loss[loss=0.5521, simple_loss=0.6153, pruned_loss=0.2444, over 12564.00 frames. utt_duration=63.5 frames, utt_pad_proportion=0.142, over 811.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3529, pruned_loss=0.1072, over 2781099.50 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07058, over 45272.23 utterances.], batch size: 811, lr: 2.59e-04
+2022-09-18 13:37:41,849 INFO [train.py:885] (1/2) Epoch 18, batch 8750, loss[loss=0.2468, simple_loss=0.3114, pruned_loss=0.09103, over 14186.00 frames. utt_duration=580.3 frames, utt_pad_proportion=0.04868, over 98.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3545, pruned_loss=0.1086, over 2785897.24 frames. utt_duration=248.4 frames, utt_pad_proportion=0.0683, over 45121.02 utterances.], batch size: 98, lr: 2.59e-04
+2022-09-18 13:38:11,431 INFO [train.py:885] (1/2) Epoch 18, batch 8800, loss[loss=0.1953, simple_loss=0.2687, pruned_loss=0.06094, over 13136.00 frames. utt_duration=2022 frames, utt_pad_proportion=0.09566, over 26.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3543, pruned_loss=0.1084, over 2781622.64 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07023, over 45421.41 utterances.], batch size: 26, lr: 2.59e-04
+2022-09-18 13:38:41,365 INFO [train.py:885] (1/2) Epoch 18, batch 8850, loss[loss=0.3051, simple_loss=0.371, pruned_loss=0.1196, over 14400.00 frames. utt_duration=275.6 frames, utt_pad_proportion=0.033, over 210.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.356, pruned_loss=0.1086, over 2782322.73 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07097, over 46424.04 utterances.], batch size: 210, lr: 2.59e-04
+2022-09-18 13:39:11,075 INFO [train.py:885] (1/2) Epoch 18, batch 8900, loss[loss=0.422, simple_loss=0.4542, pruned_loss=0.1949, over 14242.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04204, over 335.00 utterances.], tot_loss[loss=0.2914, simple_loss=0.3602, pruned_loss=0.1113, over 2780907.46 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07182, over 47764.50 utterances.], batch size: 335, lr: 2.59e-04
+2022-09-18 13:39:40,558 INFO [train.py:885] (1/2) Epoch 18, batch 8950, loss[loss=0.1881, simple_loss=0.2613, pruned_loss=0.05741, over 13942.00 frames. utt_duration=930.9 frames, utt_pad_proportion=0.05871, over 60.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3585, pruned_loss=0.1107, over 2780657.99 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07085, over 46790.54 utterances.], batch size: 60, lr: 2.59e-04
+2022-09-18 13:40:09,866 INFO [train.py:885] (1/2) Epoch 18, batch 9000, loss[loss=0.261, simple_loss=0.3295, pruned_loss=0.09625, over 14144.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04649, over 109.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3558, pruned_loss=0.1098, over 2778013.17 frames. utt_duration=247 frames, utt_pad_proportion=0.07254, over 45260.52 utterances.], batch size: 109, lr: 2.59e-04
+2022-09-18 13:40:09,867 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 13:40:14,508 INFO [train.py:914] (1/2) Epoch 18, validation: loss=0.1941, simple_loss=0.2748, pruned_loss=0.05674, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 13:40:43,650 INFO [train.py:885] (1/2) Epoch 18, batch 9050, loss[loss=0.3622, simple_loss=0.4108, pruned_loss=0.1568, over 14248.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04298, over 335.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3528, pruned_loss=0.1083, over 2779839.49 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07137, over 44403.52 utterances.], batch size: 335, lr: 2.59e-04
+2022-09-18 13:41:13,590 INFO [train.py:885] (1/2) Epoch 18, batch 9100, loss[loss=0.24, simple_loss=0.3007, pruned_loss=0.08966, over 14152.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04648, over 109.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3557, pruned_loss=0.1093, over 2783763.76 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07071, over 45561.16 utterances.], batch size: 109, lr: 2.59e-04
+2022-09-18 13:41:43,367 INFO [train.py:885] (1/2) Epoch 18, batch 9150, loss[loss=0.2806, simple_loss=0.3708, pruned_loss=0.09514, over 14039.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05576, over 366.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3564, pruned_loss=0.1099, over 2780414.69 frames. utt_duration=242 frames, utt_pad_proportion=0.07258, over 46238.22 utterances.], batch size: 366, lr: 2.59e-04
+2022-09-18 13:42:12,538 INFO [train.py:885] (1/2) Epoch 18, batch 9200, loss[loss=0.1826, simple_loss=0.2299, pruned_loss=0.06765, over 13156.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.1077, over 33.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3575, pruned_loss=0.1109, over 2775871.40 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07399, over 46912.60 utterances.], batch size: 33, lr: 2.59e-04
+2022-09-18 13:42:42,187 INFO [train.py:885] (1/2) Epoch 18, batch 9250, loss[loss=0.2634, simple_loss=0.3438, pruned_loss=0.0915, over 14352.00 frames. utt_duration=480 frames, utt_pad_proportion=0.03806, over 120.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.356, pruned_loss=0.1103, over 2773598.34 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07586, over 46524.00 utterances.], batch size: 120, lr: 2.59e-04
+2022-09-18 13:43:11,329 INFO [train.py:885] (1/2) Epoch 18, batch 9300, loss[loss=0.3049, simple_loss=0.3681, pruned_loss=0.1209, over 14233.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04683, over 141.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3542, pruned_loss=0.1091, over 2778046.98 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07309, over 45456.86 utterances.], batch size: 141, lr: 2.59e-04
+2022-09-18 13:43:40,947 INFO [train.py:885] (1/2) Epoch 18, batch 9350, loss[loss=0.3126, simple_loss=0.3703, pruned_loss=0.1275, over 14388.00 frames. utt_duration=346 frames, utt_pad_proportion=0.03628, over 167.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3538, pruned_loss=0.109, over 2775424.40 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07322, over 45336.79 utterances.], batch size: 167, lr: 2.59e-04
+2022-09-18 13:44:10,121 INFO [train.py:885] (1/2) Epoch 18, batch 9400, loss[loss=0.2427, simple_loss=0.3121, pruned_loss=0.08667, over 14342.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.0369, over 120.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3568, pruned_loss=0.1099, over 2774819.65 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07584, over 46825.12 utterances.], batch size: 120, lr: 2.59e-04
+2022-09-18 13:44:39,705 INFO [train.py:885] (1/2) Epoch 18, batch 9450, loss[loss=0.2936, simple_loss=0.3845, pruned_loss=0.1013, over 14029.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05628, over 366.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3573, pruned_loss=0.1097, over 2781429.96 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07358, over 46871.78 utterances.], batch size: 366, lr: 2.59e-04
+2022-09-18 13:45:10,577 INFO [train.py:885] (1/2) Epoch 18, batch 9500, loss[loss=0.4252, simple_loss=0.443, pruned_loss=0.2037, over 14295.00 frames. utt_duration=343.8 frames, utt_pad_proportion=0.04228, over 167.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.356, pruned_loss=0.1097, over 2785331.95 frames. utt_duration=244 frames, utt_pad_proportion=0.07191, over 45937.09 utterances.], batch size: 167, lr: 2.59e-04
+2022-09-18 13:45:41,907 INFO [train.py:885] (1/2) Epoch 18, batch 9550, loss[loss=0.2927, simple_loss=0.3721, pruned_loss=0.1066, over 14303.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03939, over 283.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3551, pruned_loss=0.109, over 2781282.62 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07132, over 45917.66 utterances.], batch size: 283, lr: 2.58e-04
+2022-09-18 13:46:11,151 INFO [train.py:885] (1/2) Epoch 18, batch 9600, loss[loss=0.317, simple_loss=0.3618, pruned_loss=0.1361, over 14273.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.04185, over 141.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3533, pruned_loss=0.1076, over 2787500.58 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06861, over 45026.97 utterances.], batch size: 141, lr: 2.58e-04
+2022-09-18 13:46:40,846 INFO [train.py:885] (1/2) Epoch 18, batch 9650, loss[loss=0.1545, simple_loss=0.1999, pruned_loss=0.05456, over 13422.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.09988, over 34.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3512, pruned_loss=0.1059, over 2790038.03 frames. utt_duration=250.4 frames, utt_pad_proportion=0.0675, over 44831.41 utterances.], batch size: 34, lr: 2.58e-04
+2022-09-18 13:47:10,691 INFO [train.py:885] (1/2) Epoch 18, batch 9700, loss[loss=0.3505, simple_loss=0.4391, pruned_loss=0.131, over 13672.00 frames. utt_duration=99.05 frames, utt_pad_proportion=0.07432, over 560.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3555, pruned_loss=0.1078, over 2785504.86 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07105, over 47141.78 utterances.], batch size: 560, lr: 2.58e-04
+2022-09-18 13:47:40,185 INFO [train.py:885] (1/2) Epoch 18, batch 9750, loss[loss=0.2377, simple_loss=0.3133, pruned_loss=0.08109, over 14129.00 frames. utt_duration=578 frames, utt_pad_proportion=0.05241, over 98.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.354, pruned_loss=0.1075, over 2785066.74 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07088, over 46371.65 utterances.], batch size: 98, lr: 2.58e-04
+2022-09-18 13:48:09,935 INFO [train.py:885] (1/2) Epoch 18, batch 9800, loss[loss=0.1773, simple_loss=0.2357, pruned_loss=0.05949, over 13392.00 frames. utt_duration=2062 frames, utt_pad_proportion=0.09182, over 26.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3524, pruned_loss=0.1071, over 2783873.40 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06914, over 45525.68 utterances.], batch size: 26, lr: 2.58e-04
+2022-09-18 13:48:39,239 INFO [train.py:885] (1/2) Epoch 18, batch 9850, loss[loss=0.5223, simple_loss=0.5835, pruned_loss=0.2306, over 13157.00 frames. utt_duration=82.1 frames, utt_pad_proportion=0.1076, over 653.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3541, pruned_loss=0.1078, over 2783393.71 frames. utt_duration=244 frames, utt_pad_proportion=0.07061, over 45902.13 utterances.], batch size: 653, lr: 2.58e-04
+2022-09-18 13:49:08,903 INFO [train.py:885] (1/2) Epoch 18, batch 9900, loss[loss=0.3196, simple_loss=0.3831, pruned_loss=0.1281, over 14326.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03893, over 262.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3548, pruned_loss=0.1077, over 2780117.78 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07199, over 46935.44 utterances.], batch size: 262, lr: 2.58e-04
+2022-09-18 13:49:38,618 INFO [train.py:885] (1/2) Epoch 18, batch 9950, loss[loss=0.1653, simple_loss=0.2343, pruned_loss=0.04811, over 13764.00 frames. utt_duration=1312 frames, utt_pad_proportion=0.0785, over 42.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3572, pruned_loss=0.1095, over 2782387.65 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07134, over 46587.91 utterances.], batch size: 42, lr: 2.58e-04
+2022-09-18 13:50:07,886 INFO [train.py:885] (1/2) Epoch 18, batch 10000, loss[loss=0.2696, simple_loss=0.3304, pruned_loss=0.1043, over 14263.00 frames. utt_duration=476.9 frames, utt_pad_proportion=0.04239, over 120.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.3579, pruned_loss=0.1099, over 2778473.78 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07197, over 47268.21 utterances.], batch size: 120, lr: 2.58e-04
+2022-09-18 13:50:36,877 INFO [train.py:885] (1/2) Epoch 18, batch 10050, loss[loss=0.3334, simple_loss=0.422, pruned_loss=0.1224, over 13642.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08061, over 477.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3573, pruned_loss=0.1096, over 2775501.53 frames. utt_duration=238.6 frames, utt_pad_proportion=0.0727, over 46829.51 utterances.], batch size: 477, lr: 2.58e-04
+2022-09-18 13:51:07,115 INFO [train.py:885] (1/2) Epoch 18, batch 10100, loss[loss=0.3441, simple_loss=0.4143, pruned_loss=0.1369, over 14010.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05508, over 365.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3538, pruned_loss=0.1077, over 2775388.86 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07237, over 45411.54 utterances.], batch size: 365, lr: 2.58e-04
+2022-09-18 13:51:37,221 INFO [train.py:885] (1/2) Epoch 18, batch 10150, loss[loss=0.3154, simple_loss=0.3888, pruned_loss=0.121, over 14301.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03945, over 283.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3564, pruned_loss=0.1091, over 2772527.40 frames. utt_duration=240.1 frames, utt_pad_proportion=0.0747, over 46470.54 utterances.], batch size: 283, lr: 2.58e-04
+2022-09-18 13:52:05,918 INFO [train.py:885] (1/2) Epoch 18, batch 10200, loss[loss=0.1848, simple_loss=0.2546, pruned_loss=0.05755, over 13775.00 frames. utt_duration=1314 frames, utt_pad_proportion=0.07628, over 42.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3534, pruned_loss=0.1078, over 2776173.14 frames. utt_duration=248 frames, utt_pad_proportion=0.07094, over 45043.21 utterances.], batch size: 42, lr: 2.58e-04
+2022-09-18 13:52:35,589 INFO [train.py:885] (1/2) Epoch 18, batch 10250, loss[loss=0.3764, simple_loss=0.4541, pruned_loss=0.1494, over 13670.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07855, over 477.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3522, pruned_loss=0.1072, over 2779981.03 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07069, over 44656.47 utterances.], batch size: 477, lr: 2.58e-04
+2022-09-18 13:53:05,259 INFO [train.py:885] (1/2) Epoch 18, batch 10300, loss[loss=0.5857, simple_loss=0.647, pruned_loss=0.2622, over 12535.00 frames. utt_duration=63.49 frames, utt_pad_proportion=0.1421, over 810.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3529, pruned_loss=0.1072, over 2774469.63 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07466, over 45034.59 utterances.], batch size: 810, lr: 2.58e-04
+2022-09-18 13:53:35,058 INFO [train.py:885] (1/2) Epoch 18, batch 10350, loss[loss=0.3089, simple_loss=0.381, pruned_loss=0.1184, over 14358.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03637, over 283.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3552, pruned_loss=0.108, over 2780408.11 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07244, over 46175.22 utterances.], batch size: 283, lr: 2.58e-04
+2022-09-18 13:54:04,424 INFO [train.py:885] (1/2) Epoch 18, batch 10400, loss[loss=0.4255, simple_loss=0.4541, pruned_loss=0.1984, over 14212.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04489, over 335.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.355, pruned_loss=0.1083, over 2781649.74 frames. utt_duration=244 frames, utt_pad_proportion=0.07157, over 45876.20 utterances.], batch size: 335, lr: 2.58e-04
+2022-09-18 13:54:34,454 INFO [train.py:885] (1/2) Epoch 18, batch 10450, loss[loss=0.1832, simple_loss=0.2508, pruned_loss=0.05778, over 13648.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.08186, over 50.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3589, pruned_loss=0.111, over 2781119.68 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07405, over 47530.84 utterances.], batch size: 50, lr: 2.58e-04
+2022-09-18 13:55:04,110 INFO [train.py:885] (1/2) Epoch 18, batch 10500, loss[loss=0.3611, simple_loss=0.4067, pruned_loss=0.1577, over 14325.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.04023, over 120.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3549, pruned_loss=0.1091, over 2778094.74 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07247, over 45842.17 utterances.], batch size: 120, lr: 2.58e-04
+2022-09-18 13:55:33,317 INFO [train.py:885] (1/2) Epoch 18, batch 10550, loss[loss=0.3001, simple_loss=0.3606, pruned_loss=0.1198, over 14222.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.04789, over 141.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3541, pruned_loss=0.1085, over 2778224.78 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07246, over 45194.65 utterances.], batch size: 141, lr: 2.58e-04
+2022-09-18 13:56:03,897 INFO [train.py:885] (1/2) Epoch 18, batch 10600, loss[loss=0.2538, simple_loss=0.3212, pruned_loss=0.09318, over 14353.00 frames. utt_duration=479.8 frames, utt_pad_proportion=0.03658, over 120.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3548, pruned_loss=0.1096, over 2777549.42 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07253, over 44785.18 utterances.], batch size: 120, lr: 2.58e-04
+2022-09-18 13:56:33,230 INFO [train.py:885] (1/2) Epoch 18, batch 10650, loss[loss=0.2967, simple_loss=0.3632, pruned_loss=0.115, over 14317.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03903, over 262.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3537, pruned_loss=0.1088, over 2780509.07 frames. utt_duration=252 frames, utt_pad_proportion=0.07059, over 44398.36 utterances.], batch size: 262, lr: 2.58e-04
+2022-09-18 13:57:03,062 INFO [train.py:885] (1/2) Epoch 18, batch 10700, loss[loss=0.5495, simple_loss=0.6183, pruned_loss=0.2404, over 12514.00 frames. utt_duration=63.33 frames, utt_pad_proportion=0.1442, over 810.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.354, pruned_loss=0.1091, over 2776775.29 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07416, over 45216.15 utterances.], batch size: 810, lr: 2.58e-04
+2022-09-18 13:57:32,557 INFO [train.py:885] (1/2) Epoch 18, batch 10750, loss[loss=0.2748, simple_loss=0.3431, pruned_loss=0.1033, over 14207.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.04831, over 141.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3535, pruned_loss=0.1084, over 2777856.68 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07348, over 44953.49 utterances.], batch size: 141, lr: 2.58e-04
+2022-09-18 13:58:02,532 INFO [train.py:885] (1/2) Epoch 18, batch 10800, loss[loss=0.3013, simple_loss=0.3549, pruned_loss=0.1239, over 14310.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.0399, over 130.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3492, pruned_loss=0.1064, over 2781089.71 frames. utt_duration=262.5 frames, utt_pad_proportion=0.07094, over 42615.97 utterances.], batch size: 130, lr: 2.58e-04
+2022-09-18 13:58:31,875 INFO [train.py:885] (1/2) Epoch 18, batch 10850, loss[loss=0.4954, simple_loss=0.578, pruned_loss=0.2064, over 12433.00 frames. utt_duration=62.85 frames, utt_pad_proportion=0.1507, over 811.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3515, pruned_loss=0.1072, over 2780186.55 frames. utt_duration=256 frames, utt_pad_proportion=0.07306, over 43686.47 utterances.], batch size: 811, lr: 2.58e-04
+2022-09-18 13:59:01,713 INFO [train.py:885] (1/2) Epoch 18, batch 10900, loss[loss=0.2233, simple_loss=0.3017, pruned_loss=0.07249, over 14143.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04643, over 109.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3507, pruned_loss=0.1069, over 2782558.43 frames. utt_duration=257.5 frames, utt_pad_proportion=0.07216, over 43476.22 utterances.], batch size: 109, lr: 2.58e-04
+2022-09-18 13:59:30,839 INFO [train.py:885] (1/2) Epoch 18, batch 10950, loss[loss=0.2946, simple_loss=0.3669, pruned_loss=0.1112, over 14341.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03672, over 195.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.354, pruned_loss=0.108, over 2781533.68 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07326, over 46078.43 utterances.], batch size: 195, lr: 2.58e-04
+2022-09-18 14:00:00,638 INFO [train.py:885] (1/2) Epoch 18, batch 11000, loss[loss=0.3217, simple_loss=0.409, pruned_loss=0.1172, over 13673.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07895, over 477.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3543, pruned_loss=0.1084, over 2778596.93 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07336, over 45867.55 utterances.], batch size: 477, lr: 2.58e-04
+2022-09-18 14:00:29,541 INFO [train.py:885] (1/2) Epoch 18, batch 11050, loss[loss=0.2804, simple_loss=0.3478, pruned_loss=0.1065, over 14336.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03683, over 195.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3555, pruned_loss=0.1082, over 2780739.93 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07226, over 46364.12 utterances.], batch size: 195, lr: 2.58e-04
+2022-09-18 14:00:59,846 INFO [train.py:885] (1/2) Epoch 18, batch 11100, loss[loss=0.1815, simple_loss=0.2629, pruned_loss=0.05009, over 14194.00 frames. utt_duration=639.5 frames, utt_pad_proportion=0.04692, over 89.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3511, pruned_loss=0.1061, over 2781133.34 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07177, over 45215.50 utterances.], batch size: 89, lr: 2.58e-04
+2022-09-18 14:01:29,446 INFO [train.py:885] (1/2) Epoch 18, batch 11150, loss[loss=0.2503, simple_loss=0.3304, pruned_loss=0.08508, over 14334.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03765, over 120.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3512, pruned_loss=0.1059, over 2779726.51 frames. utt_duration=246 frames, utt_pad_proportion=0.07081, over 45463.26 utterances.], batch size: 120, lr: 2.58e-04
+2022-09-18 14:01:59,865 INFO [train.py:885] (1/2) Epoch 18, batch 11200, loss[loss=0.2727, simple_loss=0.369, pruned_loss=0.08818, over 14011.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05505, over 365.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3561, pruned_loss=0.108, over 2777905.51 frames. utt_duration=232.3 frames, utt_pad_proportion=0.0739, over 48146.90 utterances.], batch size: 365, lr: 2.58e-04
+2022-09-18 14:02:28,857 INFO [train.py:885] (1/2) Epoch 18, batch 11250, loss[loss=0.2595, simple_loss=0.323, pruned_loss=0.09803, over 14339.00 frames. utt_duration=479.5 frames, utt_pad_proportion=0.03722, over 120.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3575, pruned_loss=0.1086, over 2777889.90 frames. utt_duration=228.7 frames, utt_pad_proportion=0.07527, over 48894.79 utterances.], batch size: 120, lr: 2.58e-04
+2022-09-18 14:02:58,812 INFO [train.py:885] (1/2) Epoch 18, batch 11300, loss[loss=0.3217, simple_loss=0.388, pruned_loss=0.1277, over 14243.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04275, over 306.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3571, pruned_loss=0.1086, over 2775857.00 frames. utt_duration=229.6 frames, utt_pad_proportion=0.07479, over 48662.51 utterances.], batch size: 306, lr: 2.57e-04
+2022-09-18 14:03:28,366 INFO [train.py:885] (1/2) Epoch 18, batch 11350, loss[loss=0.291, simple_loss=0.3641, pruned_loss=0.1089, over 14310.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03935, over 283.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.354, pruned_loss=0.1075, over 2776829.27 frames. utt_duration=238.2 frames, utt_pad_proportion=0.0736, over 46916.31 utterances.], batch size: 283, lr: 2.57e-04
+2022-09-18 14:03:58,136 INFO [train.py:885] (1/2) Epoch 18, batch 11400, loss[loss=0.2823, simple_loss=0.3516, pruned_loss=0.1065, over 14366.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.0378, over 167.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.356, pruned_loss=0.1083, over 2772859.09 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07656, over 48312.19 utterances.], batch size: 167, lr: 2.57e-04
+2022-09-18 14:04:27,465 INFO [train.py:885] (1/2) Epoch 18, batch 11450, loss[loss=0.347, simple_loss=0.4051, pruned_loss=0.1445, over 14209.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0442, over 306.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3527, pruned_loss=0.1073, over 2771259.99 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07683, over 46646.04 utterances.], batch size: 306, lr: 2.57e-04
+2022-09-18 14:04:56,837 INFO [train.py:885] (1/2) Epoch 18, batch 11500, loss[loss=0.2527, simple_loss=0.3244, pruned_loss=0.09054, over 14320.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03881, over 130.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3513, pruned_loss=0.1068, over 2777638.15 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07254, over 45230.06 utterances.], batch size: 130, lr: 2.57e-04
+2022-09-18 14:05:25,888 INFO [train.py:885] (1/2) Epoch 18, batch 11550, loss[loss=0.1709, simple_loss=0.2333, pruned_loss=0.05423, over 13035.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.1197, over 33.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3551, pruned_loss=0.1086, over 2780632.11 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07351, over 46542.55 utterances.], batch size: 33, lr: 2.57e-04
+2022-09-18 14:05:55,455 INFO [train.py:885] (1/2) Epoch 18, batch 11600, loss[loss=0.2351, simple_loss=0.3061, pruned_loss=0.08201, over 14340.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.03953, over 120.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3526, pruned_loss=0.107, over 2783486.18 frames. utt_duration=248.3 frames, utt_pad_proportion=0.0713, over 45118.27 utterances.], batch size: 120, lr: 2.57e-04
+2022-09-18 14:06:25,143 INFO [train.py:885] (1/2) Epoch 18, batch 11650, loss[loss=0.3282, simple_loss=0.3868, pruned_loss=0.1348, over 14383.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03512, over 244.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.358, pruned_loss=0.1102, over 2784396.58 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07249, over 47213.37 utterances.], batch size: 244, lr: 2.57e-04
+2022-09-18 14:06:54,551 INFO [train.py:885] (1/2) Epoch 18, batch 11700, loss[loss=0.3071, simple_loss=0.3767, pruned_loss=0.1187, over 14359.00 frames. utt_duration=275 frames, utt_pad_proportion=0.0351, over 210.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3547, pruned_loss=0.1085, over 2784236.01 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07069, over 45492.23 utterances.], batch size: 210, lr: 2.57e-04
+2022-09-18 14:07:23,850 INFO [train.py:885] (1/2) Epoch 18, batch 11750, loss[loss=0.3351, simple_loss=0.3977, pruned_loss=0.1363, over 14247.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04266, over 335.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.356, pruned_loss=0.1089, over 2784701.00 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07079, over 45879.55 utterances.], batch size: 335, lr: 2.57e-04
+2022-09-18 14:07:53,155 INFO [train.py:885] (1/2) Epoch 18, batch 11800, loss[loss=0.1931, simple_loss=0.2604, pruned_loss=0.06289, over 13567.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.08387, over 42.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3555, pruned_loss=0.1083, over 2785496.80 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07083, over 45765.63 utterances.], batch size: 42, lr: 2.57e-04
+2022-09-18 14:08:22,348 INFO [train.py:885] (1/2) Epoch 18, batch 11850, loss[loss=0.2582, simple_loss=0.3356, pruned_loss=0.09043, over 14361.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03786, over 167.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3545, pruned_loss=0.1081, over 2789908.77 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06744, over 45302.04 utterances.], batch size: 167, lr: 2.57e-04
+2022-09-18 14:08:52,542 INFO [train.py:885] (1/2) Epoch 18, batch 11900, loss[loss=0.3125, simple_loss=0.3871, pruned_loss=0.119, over 14336.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03709, over 283.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3531, pruned_loss=0.1069, over 2786287.07 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06844, over 44435.10 utterances.], batch size: 283, lr: 2.57e-04
+2022-09-18 14:09:30,034 INFO [train.py:885] (1/2) Epoch 18, batch 11950, loss[loss=0.2412, simple_loss=0.3071, pruned_loss=0.08763, over 14255.00 frames. utt_duration=476.5 frames, utt_pad_proportion=0.04312, over 120.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3543, pruned_loss=0.1077, over 2787754.39 frames. utt_duration=250.3 frames, utt_pad_proportion=0.0674, over 44819.41 utterances.], batch size: 120, lr: 2.57e-04
+2022-09-18 14:09:59,895 INFO [train.py:885] (1/2) Epoch 18, batch 12000, loss[loss=0.2113, simple_loss=0.2923, pruned_loss=0.06509, over 14203.00 frames. utt_duration=639.7 frames, utt_pad_proportion=0.04664, over 89.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3569, pruned_loss=0.1087, over 2787443.27 frames. utt_duration=241.2 frames, utt_pad_proportion=0.06947, over 46514.18 utterances.], batch size: 89, lr: 2.57e-04
+2022-09-18 14:09:59,896 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 14:10:04,122 INFO [train.py:914] (1/2) Epoch 18, validation: loss=0.1988, simple_loss=0.2789, pruned_loss=0.05933, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 14:10:33,316 INFO [train.py:885] (1/2) Epoch 18, batch 12050, loss[loss=0.3119, simple_loss=0.4112, pruned_loss=0.1063, over 13597.00 frames. utt_duration=98.39 frames, utt_pad_proportion=0.08044, over 560.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3581, pruned_loss=0.1092, over 2787704.18 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07023, over 47282.26 utterances.], batch size: 560, lr: 2.57e-04
+2022-09-18 14:11:03,100 INFO [train.py:885] (1/2) Epoch 18, batch 12100, loss[loss=0.3616, simple_loss=0.4251, pruned_loss=0.149, over 14022.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05441, over 365.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3552, pruned_loss=0.1082, over 2785856.57 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06948, over 45985.24 utterances.], batch size: 365, lr: 2.57e-04
+2022-09-18 14:11:32,369 INFO [train.py:885] (1/2) Epoch 18, batch 12150, loss[loss=0.3069, simple_loss=0.3614, pruned_loss=0.1262, over 14390.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03673, over 155.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3531, pruned_loss=0.1069, over 2786049.72 frames. utt_duration=246 frames, utt_pad_proportion=0.06873, over 45583.12 utterances.], batch size: 155, lr: 2.57e-04
+2022-09-18 14:12:01,548 INFO [train.py:885] (1/2) Epoch 18, batch 12200, loss[loss=0.3049, simple_loss=0.3915, pruned_loss=0.1091, over 13996.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05645, over 365.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3519, pruned_loss=0.1065, over 2783202.90 frames. utt_duration=250 frames, utt_pad_proportion=0.06915, over 44799.79 utterances.], batch size: 365, lr: 2.57e-04
+2022-09-18 14:12:31,193 INFO [train.py:885] (1/2) Epoch 18, batch 12250, loss[loss=0.2288, simple_loss=0.2874, pruned_loss=0.08513, over 13644.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.08076, over 50.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3505, pruned_loss=0.1062, over 2783255.75 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06981, over 44428.05 utterances.], batch size: 50, lr: 2.57e-04
+2022-09-18 14:13:01,333 INFO [train.py:885] (1/2) Epoch 18, batch 12300, loss[loss=0.2815, simple_loss=0.3634, pruned_loss=0.09982, over 14382.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.0342, over 210.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3492, pruned_loss=0.1056, over 2780399.03 frames. utt_duration=252.5 frames, utt_pad_proportion=0.0709, over 44309.27 utterances.], batch size: 210, lr: 2.57e-04
+2022-09-18 14:13:31,239 INFO [train.py:885] (1/2) Epoch 18, batch 12350, loss[loss=0.3923, simple_loss=0.4705, pruned_loss=0.157, over 13625.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.0774, over 560.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3478, pruned_loss=0.1053, over 2781133.57 frames. utt_duration=255.6 frames, utt_pad_proportion=0.06918, over 43766.66 utterances.], batch size: 560, lr: 2.57e-04
+2022-09-18 14:14:01,166 INFO [train.py:885] (1/2) Epoch 18, batch 12400, loss[loss=0.2967, simple_loss=0.3712, pruned_loss=0.1111, over 14365.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03235, over 244.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3537, pruned_loss=0.1081, over 2780381.97 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07113, over 45979.77 utterances.], batch size: 244, lr: 2.57e-04
+2022-09-18 14:14:30,361 INFO [train.py:885] (1/2) Epoch 18, batch 12450, loss[loss=0.1952, simple_loss=0.2632, pruned_loss=0.06364, over 13370.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.08661, over 41.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.356, pruned_loss=0.1094, over 2780567.74 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07166, over 47057.12 utterances.], batch size: 41, lr: 2.57e-04
+2022-09-18 14:14:59,409 INFO [train.py:885] (1/2) Epoch 18, batch 12500, loss[loss=0.2131, simple_loss=0.2733, pruned_loss=0.07647, over 14096.00 frames. utt_duration=715.1 frames, utt_pad_proportion=0.0529, over 79.00 utterances.], tot_loss[loss=0.286, simple_loss=0.355, pruned_loss=0.1085, over 2777015.93 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07338, over 46878.97 utterances.], batch size: 79, lr: 2.57e-04
+2022-09-18 14:15:28,877 INFO [train.py:885] (1/2) Epoch 18, batch 12550, loss[loss=0.3167, simple_loss=0.3804, pruned_loss=0.1265, over 14294.00 frames. utt_duration=294.7 frames, utt_pad_proportion=0.04001, over 195.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3552, pruned_loss=0.1083, over 2780168.54 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07131, over 46784.08 utterances.], batch size: 195, lr: 2.57e-04
+2022-09-18 14:15:56,829 INFO [train.py:885] (1/2) Epoch 18, batch 12600, loss[loss=0.2151, simple_loss=0.2851, pruned_loss=0.07261, over 14161.00 frames. utt_duration=638 frames, utt_pad_proportion=0.04627, over 89.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3564, pruned_loss=0.1084, over 2783038.92 frames. utt_duration=239 frames, utt_pad_proportion=0.07137, over 46866.97 utterances.], batch size: 89, lr: 2.57e-04
+2022-09-18 14:16:17,483 INFO [train.py:885] (1/2) Epoch 19, batch 0, loss[loss=0.3316, simple_loss=0.4282, pruned_loss=0.1175, over 13647.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08025, over 477.00 utterances.], tot_loss[loss=0.3316, simple_loss=0.4282, pruned_loss=0.1175, over 13647.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08025, over 477.00 utterances.], batch size: 477, lr: 2.50e-04
+2022-09-18 14:16:46,662 INFO [train.py:885] (1/2) Epoch 19, batch 50, loss[loss=0.291, simple_loss=0.3581, pruned_loss=0.1119, over 14273.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04298, over 154.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3381, pruned_loss=0.09789, over 631113.04 frames. utt_duration=280.3 frames, utt_pad_proportion=0.06275, over 9053.49 utterances.], batch size: 154, lr: 2.50e-04
+2022-09-18 14:17:16,571 INFO [train.py:885] (1/2) Epoch 19, batch 100, loss[loss=0.2795, simple_loss=0.3573, pruned_loss=0.1009, over 14274.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04063, over 180.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3392, pruned_loss=0.1003, over 1110478.67 frames. utt_duration=277.6 frames, utt_pad_proportion=0.05952, over 16083.34 utterances.], batch size: 180, lr: 2.50e-04
+2022-09-18 14:17:45,974 INFO [train.py:885] (1/2) Epoch 19, batch 150, loss[loss=0.2842, simple_loss=0.3528, pruned_loss=0.1078, over 14350.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03878, over 167.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3441, pruned_loss=0.1021, over 1484072.32 frames. utt_duration=264.4 frames, utt_pad_proportion=0.06149, over 22579.42 utterances.], batch size: 167, lr: 2.50e-04
+2022-09-18 14:18:15,841 INFO [train.py:885] (1/2) Epoch 19, batch 200, loss[loss=0.5081, simple_loss=0.5631, pruned_loss=0.2266, over 13185.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.1059, over 653.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3473, pruned_loss=0.104, over 1767377.56 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06694, over 28176.19 utterances.], batch size: 653, lr: 2.50e-04
+2022-09-18 14:18:45,697 INFO [train.py:885] (1/2) Epoch 19, batch 250, loss[loss=0.2042, simple_loss=0.2385, pruned_loss=0.08498, over 13270.00 frames. utt_duration=1610 frames, utt_pad_proportion=0.1091, over 33.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3465, pruned_loss=0.1046, over 1992521.15 frames. utt_duration=260.2 frames, utt_pad_proportion=0.06608, over 30800.60 utterances.], batch size: 33, lr: 2.50e-04
+2022-09-18 14:19:14,597 INFO [train.py:885] (1/2) Epoch 19, batch 300, loss[loss=0.2639, simple_loss=0.3374, pruned_loss=0.09526, over 14312.00 frames. utt_duration=344.1 frames, utt_pad_proportion=0.04142, over 167.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3512, pruned_loss=0.1065, over 2171311.10 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06696, over 34546.14 utterances.], batch size: 167, lr: 2.50e-04
+2022-09-18 14:19:44,801 INFO [train.py:885] (1/2) Epoch 19, batch 350, loss[loss=0.3331, simple_loss=0.4137, pruned_loss=0.1262, over 14014.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05526, over 365.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3575, pruned_loss=0.1096, over 2307122.22 frames. utt_duration=239.2 frames, utt_pad_proportion=0.06913, over 38828.35 utterances.], batch size: 365, lr: 2.50e-04
+2022-09-18 14:20:14,275 INFO [train.py:885] (1/2) Epoch 19, batch 400, loss[loss=0.2744, simple_loss=0.3416, pruned_loss=0.1036, over 14306.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.04056, over 154.00 utterances.], tot_loss[loss=0.289, simple_loss=0.3587, pruned_loss=0.1097, over 2408984.63 frames. utt_duration=230.3 frames, utt_pad_proportion=0.07285, over 42117.29 utterances.], batch size: 154, lr: 2.50e-04
+2022-09-18 14:20:44,124 INFO [train.py:885] (1/2) Epoch 19, batch 450, loss[loss=0.3558, simple_loss=0.4044, pruned_loss=0.1536, over 14382.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03614, over 244.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3523, pruned_loss=0.1063, over 2492928.00 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07161, over 41340.03 utterances.], batch size: 244, lr: 2.50e-04
+2022-09-18 14:21:13,380 INFO [train.py:885] (1/2) Epoch 19, batch 500, loss[loss=0.3278, simple_loss=0.4082, pruned_loss=0.1237, over 13786.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07098, over 411.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3525, pruned_loss=0.107, over 2555628.79 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07167, over 41742.42 utterances.], batch size: 411, lr: 2.50e-04
+2022-09-18 14:21:43,110 INFO [train.py:885] (1/2) Epoch 19, batch 550, loss[loss=0.2209, simple_loss=0.2964, pruned_loss=0.07271, over 14158.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.04589, over 109.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3523, pruned_loss=0.1072, over 2604981.31 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07024, over 42082.28 utterances.], batch size: 109, lr: 2.50e-04
+2022-09-18 14:22:12,534 INFO [train.py:885] (1/2) Epoch 19, batch 600, loss[loss=0.6155, simple_loss=0.6599, pruned_loss=0.2855, over 12507.00 frames. utt_duration=63.27 frames, utt_pad_proportion=0.145, over 811.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3544, pruned_loss=0.109, over 2643727.65 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07146, over 43183.00 utterances.], batch size: 811, lr: 2.50e-04
+2022-09-18 14:22:42,003 INFO [train.py:885] (1/2) Epoch 19, batch 650, loss[loss=0.2998, simple_loss=0.3715, pruned_loss=0.1141, over 14316.00 frames. utt_duration=344.1 frames, utt_pad_proportion=0.04157, over 167.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3558, pruned_loss=0.1103, over 2675084.22 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06992, over 43197.22 utterances.], batch size: 167, lr: 2.50e-04
+2022-09-18 14:23:18,779 INFO [train.py:885] (1/2) Epoch 19, batch 700, loss[loss=0.5067, simple_loss=0.5919, pruned_loss=0.2107, over 12538.00 frames. utt_duration=63.56 frames, utt_pad_proportion=0.1411, over 810.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.357, pruned_loss=0.1102, over 2696299.40 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07265, over 44434.97 utterances.], batch size: 810, lr: 2.50e-04
+2022-09-18 14:23:48,138 INFO [train.py:885] (1/2) Epoch 19, batch 750, loss[loss=0.4402, simple_loss=0.4674, pruned_loss=0.2065, over 14265.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04172, over 335.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3556, pruned_loss=0.1098, over 2716024.35 frames. utt_duration=246.6 frames, utt_pad_proportion=0.0721, over 44321.17 utterances.], batch size: 335, lr: 2.50e-04
+2022-09-18 14:24:17,814 INFO [train.py:885] (1/2) Epoch 19, batch 800, loss[loss=0.3332, simple_loss=0.4242, pruned_loss=0.1211, over 13601.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.08377, over 477.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3546, pruned_loss=0.1088, over 2731984.55 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07194, over 44978.02 utterances.], batch size: 477, lr: 2.50e-04
+2022-09-18 14:24:47,781 INFO [train.py:885] (1/2) Epoch 19, batch 850, loss[loss=0.2787, simple_loss=0.3624, pruned_loss=0.09747, over 14308.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.0378, over 180.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3505, pruned_loss=0.1069, over 2742380.66 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07005, over 43699.39 utterances.], batch size: 180, lr: 2.50e-04
+2022-09-18 14:25:17,482 INFO [train.py:885] (1/2) Epoch 19, batch 900, loss[loss=0.2543, simple_loss=0.3364, pruned_loss=0.08613, over 14271.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.04404, over 141.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3511, pruned_loss=0.1073, over 2757076.39 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06886, over 43136.20 utterances.], batch size: 141, lr: 2.50e-04
+2022-09-18 14:25:47,043 INFO [train.py:885] (1/2) Epoch 19, batch 950, loss[loss=0.3244, simple_loss=0.3845, pruned_loss=0.1321, over 14353.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03625, over 283.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3535, pruned_loss=0.1088, over 2765120.90 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06999, over 44066.60 utterances.], batch size: 283, lr: 2.50e-04
+2022-09-18 14:26:17,112 INFO [train.py:885] (1/2) Epoch 19, batch 1000, loss[loss=0.2591, simple_loss=0.3419, pruned_loss=0.0882, over 14389.00 frames. utt_duration=346 frames, utt_pad_proportion=0.03618, over 167.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3514, pruned_loss=0.107, over 2767420.93 frames. utt_duration=255.2 frames, utt_pad_proportion=0.07027, over 43625.61 utterances.], batch size: 167, lr: 2.50e-04
+2022-09-18 14:26:46,730 INFO [train.py:885] (1/2) Epoch 19, batch 1050, loss[loss=0.3274, simple_loss=0.386, pruned_loss=0.1344, over 14311.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03942, over 262.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3501, pruned_loss=0.1064, over 2765608.02 frames. utt_duration=259 frames, utt_pad_proportion=0.07024, over 42957.10 utterances.], batch size: 262, lr: 2.50e-04
+2022-09-18 14:27:16,104 INFO [train.py:885] (1/2) Epoch 19, batch 1100, loss[loss=0.2729, simple_loss=0.347, pruned_loss=0.09937, over 14283.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03961, over 180.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3564, pruned_loss=0.1099, over 2770580.83 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07124, over 45270.65 utterances.], batch size: 180, lr: 2.50e-04
+2022-09-18 14:27:45,709 INFO [train.py:885] (1/2) Epoch 19, batch 1150, loss[loss=0.189, simple_loss=0.2563, pruned_loss=0.06087, over 13994.00 frames. utt_duration=934.4 frames, utt_pad_proportion=0.06185, over 60.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3508, pruned_loss=0.1064, over 2770193.58 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07114, over 43979.67 utterances.], batch size: 60, lr: 2.50e-04
+2022-09-18 14:28:15,481 INFO [train.py:885] (1/2) Epoch 19, batch 1200, loss[loss=0.2032, simple_loss=0.2668, pruned_loss=0.0698, over 13756.00 frames. utt_duration=1102 frames, utt_pad_proportion=0.07247, over 50.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3513, pruned_loss=0.1066, over 2772862.17 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07064, over 44562.13 utterances.], batch size: 50, lr: 2.50e-04
+2022-09-18 14:28:44,689 INFO [train.py:885] (1/2) Epoch 19, batch 1250, loss[loss=0.2166, simple_loss=0.2895, pruned_loss=0.07187, over 14193.00 frames. utt_duration=639.3 frames, utt_pad_proportion=0.04717, over 89.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3497, pruned_loss=0.1059, over 2774837.41 frames. utt_duration=256.4 frames, utt_pad_proportion=0.07095, over 43537.58 utterances.], batch size: 89, lr: 2.50e-04
+2022-09-18 14:29:14,910 INFO [train.py:885] (1/2) Epoch 19, batch 1300, loss[loss=0.2951, simple_loss=0.3919, pruned_loss=0.09918, over 13624.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08178, over 477.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3532, pruned_loss=0.1077, over 2781319.36 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07101, over 44641.54 utterances.], batch size: 477, lr: 2.50e-04
+2022-09-18 14:29:44,257 INFO [train.py:885] (1/2) Epoch 19, batch 1350, loss[loss=0.3183, simple_loss=0.3856, pruned_loss=0.1256, over 14249.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04234, over 225.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3516, pruned_loss=0.1066, over 2782087.77 frames. utt_duration=253 frames, utt_pad_proportion=0.07132, over 44248.51 utterances.], batch size: 225, lr: 2.50e-04
+2022-09-18 14:30:13,245 INFO [train.py:885] (1/2) Epoch 19, batch 1400, loss[loss=0.2283, simple_loss=0.2962, pruned_loss=0.0802, over 13329.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08958, over 41.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3519, pruned_loss=0.1071, over 2787053.72 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06964, over 44174.58 utterances.], batch size: 41, lr: 2.49e-04
+2022-09-18 14:30:42,954 INFO [train.py:885] (1/2) Epoch 19, batch 1450, loss[loss=0.3373, simple_loss=0.4067, pruned_loss=0.134, over 14059.00 frames. utt_duration=155.5 frames, utt_pad_proportion=0.05179, over 365.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.35, pruned_loss=0.1058, over 2789892.20 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06821, over 43688.71 utterances.], batch size: 365, lr: 2.49e-04
+2022-09-18 14:31:12,883 INFO [train.py:885] (1/2) Epoch 19, batch 1500, loss[loss=0.2354, simple_loss=0.3214, pruned_loss=0.07467, over 14278.00 frames. utt_duration=440.7 frames, utt_pad_proportion=0.04189, over 130.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3509, pruned_loss=0.1062, over 2787366.25 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07133, over 44285.39 utterances.], batch size: 130, lr: 2.49e-04
+2022-09-18 14:31:42,380 INFO [train.py:885] (1/2) Epoch 19, batch 1550, loss[loss=0.3054, simple_loss=0.3785, pruned_loss=0.1162, over 14265.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04042, over 225.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.353, pruned_loss=0.1079, over 2785921.05 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06989, over 44230.65 utterances.], batch size: 225, lr: 2.49e-04
+2022-09-18 14:32:11,889 INFO [train.py:885] (1/2) Epoch 19, batch 1600, loss[loss=0.5522, simple_loss=0.6252, pruned_loss=0.2396, over 12456.00 frames. utt_duration=62.98 frames, utt_pad_proportion=0.149, over 811.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3507, pruned_loss=0.1061, over 2784172.95 frames. utt_duration=255.6 frames, utt_pad_proportion=0.07208, over 43822.85 utterances.], batch size: 811, lr: 2.49e-04
+2022-09-18 14:32:41,301 INFO [train.py:885] (1/2) Epoch 19, batch 1650, loss[loss=0.2172, simple_loss=0.2964, pruned_loss=0.06903, over 14093.00 frames. utt_duration=576.7 frames, utt_pad_proportion=0.053, over 98.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.35, pruned_loss=0.1055, over 2784941.36 frames. utt_duration=256.1 frames, utt_pad_proportion=0.07261, over 43747.13 utterances.], batch size: 98, lr: 2.49e-04
+2022-09-18 14:33:11,064 INFO [train.py:885] (1/2) Epoch 19, batch 1700, loss[loss=0.3889, simple_loss=0.4362, pruned_loss=0.1708, over 14224.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04328, over 306.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3527, pruned_loss=0.1066, over 2781003.28 frames. utt_duration=245.5 frames, utt_pad_proportion=0.0732, over 45586.80 utterances.], batch size: 306, lr: 2.49e-04
+2022-09-18 14:33:40,859 INFO [train.py:885] (1/2) Epoch 19, batch 1750, loss[loss=0.1857, simple_loss=0.2485, pruned_loss=0.06148, over 13336.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08876, over 41.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3539, pruned_loss=0.1071, over 2783938.50 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07289, over 46587.74 utterances.], batch size: 41, lr: 2.49e-04
+2022-09-18 14:34:10,847 INFO [train.py:885] (1/2) Epoch 19, batch 1800, loss[loss=0.3785, simple_loss=0.4262, pruned_loss=0.1654, over 14253.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04174, over 335.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3525, pruned_loss=0.1064, over 2781912.79 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07341, over 45952.00 utterances.], batch size: 335, lr: 2.49e-04
+2022-09-18 14:34:40,229 INFO [train.py:885] (1/2) Epoch 19, batch 1850, loss[loss=0.2015, simple_loss=0.2496, pruned_loss=0.07673, over 13599.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08549, over 50.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3497, pruned_loss=0.1056, over 2780637.35 frames. utt_duration=249 frames, utt_pad_proportion=0.07247, over 44932.81 utterances.], batch size: 50, lr: 2.49e-04
+2022-09-18 14:35:09,629 INFO [train.py:885] (1/2) Epoch 19, batch 1900, loss[loss=0.2979, simple_loss=0.3888, pruned_loss=0.1035, over 13822.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06826, over 411.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3536, pruned_loss=0.1077, over 2788297.91 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06973, over 45718.39 utterances.], batch size: 411, lr: 2.49e-04
+2022-09-18 14:35:39,143 INFO [train.py:885] (1/2) Epoch 19, batch 1950, loss[loss=0.1744, simple_loss=0.2115, pruned_loss=0.06864, over 12195.00 frames. utt_duration=2034 frames, utt_pad_proportion=0.1779, over 24.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3501, pruned_loss=0.1056, over 2781750.38 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07066, over 44735.77 utterances.], batch size: 24, lr: 2.49e-04
+2022-09-18 14:36:15,390 INFO [train.py:885] (1/2) Epoch 19, batch 2000, loss[loss=0.4305, simple_loss=0.4654, pruned_loss=0.1978, over 14220.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04431, over 335.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3498, pruned_loss=0.1047, over 2779812.10 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07033, over 45414.27 utterances.], batch size: 335, lr: 2.49e-04
+2022-09-18 14:36:44,916 INFO [train.py:885] (1/2) Epoch 19, batch 2050, loss[loss=0.3766, simple_loss=0.424, pruned_loss=0.1646, over 14345.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03622, over 210.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3523, pruned_loss=0.106, over 2777826.72 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07162, over 46346.20 utterances.], batch size: 210, lr: 2.49e-04
+2022-09-18 14:37:15,672 INFO [train.py:885] (1/2) Epoch 19, batch 2100, loss[loss=0.3017, simple_loss=0.3796, pruned_loss=0.112, over 14353.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03611, over 195.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3553, pruned_loss=0.1078, over 2773038.39 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07511, over 47606.05 utterances.], batch size: 195, lr: 2.49e-04
+2022-09-18 14:37:44,866 INFO [train.py:885] (1/2) Epoch 19, batch 2150, loss[loss=0.2584, simple_loss=0.34, pruned_loss=0.08844, over 14333.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03968, over 167.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3553, pruned_loss=0.1062, over 2776577.00 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07302, over 47957.90 utterances.], batch size: 167, lr: 2.49e-04
+2022-09-18 14:38:14,187 INFO [train.py:885] (1/2) Epoch 19, batch 2200, loss[loss=0.2711, simple_loss=0.3537, pruned_loss=0.09429, over 14356.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03623, over 195.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3562, pruned_loss=0.1074, over 2779486.51 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07315, over 47842.01 utterances.], batch size: 195, lr: 2.49e-04
+2022-09-18 14:38:43,879 INFO [train.py:885] (1/2) Epoch 19, batch 2250, loss[loss=0.5426, simple_loss=0.6187, pruned_loss=0.2333, over 12456.00 frames. utt_duration=63.16 frames, utt_pad_proportion=0.1465, over 810.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3556, pruned_loss=0.1076, over 2781579.86 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07261, over 47375.94 utterances.], batch size: 810, lr: 2.49e-04
+2022-09-18 14:39:12,616 INFO [train.py:885] (1/2) Epoch 19, batch 2300, loss[loss=0.1635, simple_loss=0.2142, pruned_loss=0.05642, over 12650.00 frames. utt_duration=2110 frames, utt_pad_proportion=0.1351, over 24.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3544, pruned_loss=0.1083, over 2779617.86 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07131, over 45758.32 utterances.], batch size: 24, lr: 2.49e-04
+2022-09-18 14:39:42,834 INFO [train.py:885] (1/2) Epoch 19, batch 2350, loss[loss=0.2003, simple_loss=0.2652, pruned_loss=0.0677, over 14204.00 frames. utt_duration=639.8 frames, utt_pad_proportion=0.04648, over 89.00 utterances.], tot_loss[loss=0.288, simple_loss=0.357, pruned_loss=0.1095, over 2775702.38 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07449, over 47019.39 utterances.], batch size: 89, lr: 2.49e-04
+2022-09-18 14:40:12,300 INFO [train.py:885] (1/2) Epoch 19, batch 2400, loss[loss=0.3501, simple_loss=0.4055, pruned_loss=0.1474, over 14266.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04152, over 335.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3565, pruned_loss=0.1087, over 2775021.16 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07422, over 47079.49 utterances.], batch size: 335, lr: 2.49e-04
+2022-09-18 14:40:41,632 INFO [train.py:885] (1/2) Epoch 19, batch 2450, loss[loss=0.288, simple_loss=0.393, pruned_loss=0.0915, over 13611.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08224, over 477.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3571, pruned_loss=0.1094, over 2774645.26 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07294, over 46992.39 utterances.], batch size: 477, lr: 2.49e-04
+2022-09-18 14:41:10,893 INFO [train.py:885] (1/2) Epoch 19, batch 2500, loss[loss=0.2739, simple_loss=0.3457, pruned_loss=0.101, over 14286.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03963, over 180.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3577, pruned_loss=0.1099, over 2777047.28 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07148, over 47180.77 utterances.], batch size: 180, lr: 2.49e-04
+2022-09-18 14:41:40,103 INFO [train.py:885] (1/2) Epoch 19, batch 2550, loss[loss=0.2729, simple_loss=0.3372, pruned_loss=0.1043, over 14322.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03648, over 130.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3557, pruned_loss=0.1084, over 2777258.86 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07191, over 46944.60 utterances.], batch size: 130, lr: 2.49e-04
+2022-09-18 14:42:09,794 INFO [train.py:885] (1/2) Epoch 19, batch 2600, loss[loss=0.2653, simple_loss=0.3313, pruned_loss=0.09964, over 14233.00 frames. utt_duration=405.1 frames, utt_pad_proportion=0.04671, over 141.00 utterances.], tot_loss[loss=0.2897, simple_loss=0.3587, pruned_loss=0.1104, over 2778077.96 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07253, over 47042.19 utterances.], batch size: 141, lr: 2.49e-04
+2022-09-18 14:42:39,599 INFO [train.py:885] (1/2) Epoch 19, batch 2650, loss[loss=0.1741, simple_loss=0.2323, pruned_loss=0.05799, over 13853.00 frames. utt_duration=925 frames, utt_pad_proportion=0.07034, over 60.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3569, pruned_loss=0.11, over 2776488.66 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07282, over 46052.50 utterances.], batch size: 60, lr: 2.49e-04
+2022-09-18 14:43:09,079 INFO [train.py:885] (1/2) Epoch 19, batch 2700, loss[loss=0.4671, simple_loss=0.5615, pruned_loss=0.1863, over 12430.00 frames. utt_duration=62.95 frames, utt_pad_proportion=0.1493, over 810.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3555, pruned_loss=0.1088, over 2773044.86 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07445, over 46255.18 utterances.], batch size: 810, lr: 2.49e-04
+2022-09-18 14:43:38,399 INFO [train.py:885] (1/2) Epoch 19, batch 2750, loss[loss=0.303, simple_loss=0.3732, pruned_loss=0.1164, over 14357.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03576, over 195.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3564, pruned_loss=0.1087, over 2774492.18 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07223, over 46743.02 utterances.], batch size: 195, lr: 2.49e-04
+2022-09-18 14:44:07,896 INFO [train.py:885] (1/2) Epoch 19, batch 2800, loss[loss=0.2675, simple_loss=0.3456, pruned_loss=0.09467, over 14339.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03443, over 244.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3566, pruned_loss=0.1093, over 2776543.10 frames. utt_duration=239.7 frames, utt_pad_proportion=0.0733, over 46631.60 utterances.], batch size: 244, lr: 2.49e-04
+2022-09-18 14:44:37,636 INFO [train.py:885] (1/2) Epoch 19, batch 2850, loss[loss=0.1727, simple_loss=0.2333, pruned_loss=0.05605, over 13562.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.09251, over 42.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3535, pruned_loss=0.1077, over 2777623.88 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07206, over 44791.57 utterances.], batch size: 42, lr: 2.49e-04
+2022-09-18 14:45:07,119 INFO [train.py:885] (1/2) Epoch 19, batch 2900, loss[loss=0.266, simple_loss=0.3205, pruned_loss=0.1057, over 14043.00 frames. utt_duration=574.7 frames, utt_pad_proportion=0.05471, over 98.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3558, pruned_loss=0.109, over 2779718.71 frames. utt_duration=243.7 frames, utt_pad_proportion=0.072, over 45904.88 utterances.], batch size: 98, lr: 2.49e-04
+2022-09-18 14:45:36,767 INFO [train.py:885] (1/2) Epoch 19, batch 2950, loss[loss=0.2966, simple_loss=0.3628, pruned_loss=0.1152, over 14344.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03642, over 195.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3573, pruned_loss=0.1099, over 2783726.34 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07193, over 46049.02 utterances.], batch size: 195, lr: 2.49e-04
+2022-09-18 14:46:06,111 INFO [train.py:885] (1/2) Epoch 19, batch 3000, loss[loss=0.2365, simple_loss=0.3154, pruned_loss=0.07887, over 14296.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.04158, over 154.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3564, pruned_loss=0.1092, over 2784574.26 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07087, over 45488.11 utterances.], batch size: 154, lr: 2.49e-04
+2022-09-18 14:46:06,112 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 14:46:10,303 INFO [train.py:914] (1/2) Epoch 19, validation: loss=0.1982, simple_loss=0.2761, pruned_loss=0.06017, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 14:46:39,501 INFO [train.py:885] (1/2) Epoch 19, batch 3050, loss[loss=0.3231, simple_loss=0.3894, pruned_loss=0.1284, over 14214.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04403, over 306.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3533, pruned_loss=0.1069, over 2780572.59 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07066, over 45031.84 utterances.], batch size: 306, lr: 2.49e-04
+2022-09-18 14:47:09,233 INFO [train.py:885] (1/2) Epoch 19, batch 3100, loss[loss=0.2903, simple_loss=0.3705, pruned_loss=0.105, over 14355.00 frames. utt_duration=220.6 frames, utt_pad_proportion=0.03647, over 262.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3528, pruned_loss=0.1071, over 2778226.42 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07099, over 45307.12 utterances.], batch size: 262, lr: 2.49e-04
+2022-09-18 14:47:38,701 INFO [train.py:885] (1/2) Epoch 19, batch 3150, loss[loss=0.313, simple_loss=0.4024, pruned_loss=0.1118, over 13777.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07098, over 411.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3542, pruned_loss=0.1078, over 2778497.04 frames. utt_duration=242.1 frames, utt_pad_proportion=0.0704, over 46186.20 utterances.], batch size: 411, lr: 2.49e-04
+2022-09-18 14:48:08,389 INFO [train.py:885] (1/2) Epoch 19, batch 3200, loss[loss=0.166, simple_loss=0.223, pruned_loss=0.05451, over 13338.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.0902, over 41.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3506, pruned_loss=0.1059, over 2778863.93 frames. utt_duration=246 frames, utt_pad_proportion=0.07111, over 45451.72 utterances.], batch size: 41, lr: 2.49e-04
+2022-09-18 14:48:37,493 INFO [train.py:885] (1/2) Epoch 19, batch 3250, loss[loss=0.181, simple_loss=0.2587, pruned_loss=0.0517, over 14157.00 frames. utt_duration=810.6 frames, utt_pad_proportion=0.05195, over 70.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3518, pruned_loss=0.1067, over 2780050.85 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07261, over 45736.84 utterances.], batch size: 70, lr: 2.48e-04
+2022-09-18 14:49:07,119 INFO [train.py:885] (1/2) Epoch 19, batch 3300, loss[loss=0.3777, simple_loss=0.4527, pruned_loss=0.1514, over 13656.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07897, over 477.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3485, pruned_loss=0.105, over 2780700.59 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07141, over 44564.58 utterances.], batch size: 477, lr: 2.48e-04
+2022-09-18 14:49:36,230 INFO [train.py:885] (1/2) Epoch 19, batch 3350, loss[loss=0.1808, simple_loss=0.2568, pruned_loss=0.05245, over 13061.00 frames. utt_duration=1585 frames, utt_pad_proportion=0.1239, over 33.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3521, pruned_loss=0.1073, over 2780942.39 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07185, over 44699.14 utterances.], batch size: 33, lr: 2.48e-04
+2022-09-18 14:50:05,544 INFO [train.py:885] (1/2) Epoch 19, batch 3400, loss[loss=0.149, simple_loss=0.2003, pruned_loss=0.04887, over 12524.00 frames. utt_duration=2089 frames, utt_pad_proportion=0.1484, over 24.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3479, pruned_loss=0.1048, over 2781977.49 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06969, over 43465.10 utterances.], batch size: 24, lr: 2.48e-04
+2022-09-18 14:50:35,108 INFO [train.py:885] (1/2) Epoch 19, batch 3450, loss[loss=0.2881, simple_loss=0.3603, pruned_loss=0.108, over 14298.00 frames. utt_duration=373 frames, utt_pad_proportion=0.03859, over 154.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3477, pruned_loss=0.1041, over 2782963.77 frames. utt_duration=257.8 frames, utt_pad_proportion=0.06904, over 43429.42 utterances.], batch size: 154, lr: 2.48e-04
+2022-09-18 14:51:05,155 INFO [train.py:885] (1/2) Epoch 19, batch 3500, loss[loss=0.2513, simple_loss=0.3158, pruned_loss=0.09336, over 14291.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.03938, over 130.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3509, pruned_loss=0.1063, over 2775282.74 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07216, over 44545.99 utterances.], batch size: 130, lr: 2.48e-04
+2022-09-18 14:51:34,300 INFO [train.py:885] (1/2) Epoch 19, batch 3550, loss[loss=0.2997, simple_loss=0.3569, pruned_loss=0.1212, over 14244.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04414, over 141.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3504, pruned_loss=0.1068, over 2775387.84 frames. utt_duration=255 frames, utt_pad_proportion=0.07182, over 43784.08 utterances.], batch size: 141, lr: 2.48e-04
+2022-09-18 14:52:03,912 INFO [train.py:885] (1/2) Epoch 19, batch 3600, loss[loss=0.1576, simple_loss=0.2193, pruned_loss=0.04795, over 13330.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08963, over 41.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3487, pruned_loss=0.1054, over 2780562.78 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06944, over 43368.89 utterances.], batch size: 41, lr: 2.48e-04
+2022-09-18 14:52:33,607 INFO [train.py:885] (1/2) Epoch 19, batch 3650, loss[loss=0.1531, simple_loss=0.2113, pruned_loss=0.0475, over 12244.00 frames. utt_duration=2042 frames, utt_pad_proportion=0.165, over 24.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3501, pruned_loss=0.1059, over 2772416.37 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07288, over 44922.47 utterances.], batch size: 24, lr: 2.48e-04
+2022-09-18 14:53:11,150 INFO [train.py:885] (1/2) Epoch 19, batch 3700, loss[loss=0.2209, simple_loss=0.2804, pruned_loss=0.0807, over 13670.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.06972, over 50.00 utterances.], tot_loss[loss=0.281, simple_loss=0.351, pruned_loss=0.1055, over 2771348.80 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07458, over 45302.21 utterances.], batch size: 50, lr: 2.48e-04
+2022-09-18 14:53:40,156 INFO [train.py:885] (1/2) Epoch 19, batch 3750, loss[loss=0.2842, simple_loss=0.3913, pruned_loss=0.08851, over 13623.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08179, over 477.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3479, pruned_loss=0.1044, over 2777942.90 frames. utt_duration=255.3 frames, utt_pad_proportion=0.07168, over 43780.02 utterances.], batch size: 477, lr: 2.48e-04
+2022-09-18 14:54:09,809 INFO [train.py:885] (1/2) Epoch 19, batch 3800, loss[loss=0.2538, simple_loss=0.3338, pruned_loss=0.08692, over 14149.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04634, over 109.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.349, pruned_loss=0.1051, over 2777981.27 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07201, over 44562.99 utterances.], batch size: 109, lr: 2.48e-04
+2022-09-18 14:54:39,405 INFO [train.py:885] (1/2) Epoch 19, batch 3850, loss[loss=0.2372, simple_loss=0.2877, pruned_loss=0.09339, over 13938.00 frames. utt_duration=809.5 frames, utt_pad_proportion=0.05765, over 69.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3496, pruned_loss=0.1052, over 2775371.64 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07301, over 44715.51 utterances.], batch size: 69, lr: 2.48e-04
+2022-09-18 14:55:09,117 INFO [train.py:885] (1/2) Epoch 19, batch 3900, loss[loss=0.2007, simple_loss=0.2765, pruned_loss=0.06244, over 13903.00 frames. utt_duration=705.3 frames, utt_pad_proportion=0.06709, over 79.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3463, pruned_loss=0.1033, over 2774945.98 frames. utt_duration=255.3 frames, utt_pad_proportion=0.07194, over 43725.62 utterances.], batch size: 79, lr: 2.48e-04
+2022-09-18 14:55:38,894 INFO [train.py:885] (1/2) Epoch 19, batch 3950, loss[loss=0.292, simple_loss=0.3505, pruned_loss=0.1168, over 14272.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.03952, over 130.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3493, pruned_loss=0.1047, over 2776503.27 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07233, over 45151.68 utterances.], batch size: 130, lr: 2.48e-04
+2022-09-18 14:56:07,886 INFO [train.py:885] (1/2) Epoch 19, batch 4000, loss[loss=0.2141, simple_loss=0.2847, pruned_loss=0.07172, over 13766.00 frames. utt_duration=918.9 frames, utt_pad_proportion=0.07461, over 60.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3503, pruned_loss=0.1057, over 2777733.64 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07122, over 44287.54 utterances.], batch size: 60, lr: 2.48e-04
+2022-09-18 14:56:37,460 INFO [train.py:885] (1/2) Epoch 19, batch 4050, loss[loss=0.3841, simple_loss=0.4263, pruned_loss=0.1709, over 14184.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04575, over 306.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3499, pruned_loss=0.1055, over 2773186.98 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07214, over 44613.88 utterances.], batch size: 306, lr: 2.48e-04
+2022-09-18 14:57:07,011 INFO [train.py:885] (1/2) Epoch 19, batch 4100, loss[loss=0.1713, simple_loss=0.2282, pruned_loss=0.05721, over 13480.00 frames. utt_duration=1635 frames, utt_pad_proportion=0.095, over 33.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3506, pruned_loss=0.1054, over 2777570.48 frames. utt_duration=249.1 frames, utt_pad_proportion=0.0721, over 44876.41 utterances.], batch size: 33, lr: 2.48e-04
+2022-09-18 14:57:36,524 INFO [train.py:885] (1/2) Epoch 19, batch 4150, loss[loss=0.2148, simple_loss=0.2908, pruned_loss=0.06938, over 13957.00 frames. utt_duration=708.2 frames, utt_pad_proportion=0.06319, over 79.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.354, pruned_loss=0.1069, over 2779236.27 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07157, over 46231.95 utterances.], batch size: 79, lr: 2.48e-04
+2022-09-18 14:58:06,237 INFO [train.py:885] (1/2) Epoch 19, batch 4200, loss[loss=0.1936, simple_loss=0.2767, pruned_loss=0.05524, over 14006.00 frames. utt_duration=710.4 frames, utt_pad_proportion=0.06038, over 79.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3507, pruned_loss=0.1058, over 2782118.21 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07028, over 44487.40 utterances.], batch size: 79, lr: 2.48e-04
+2022-09-18 14:58:35,944 INFO [train.py:885] (1/2) Epoch 19, batch 4250, loss[loss=0.273, simple_loss=0.3442, pruned_loss=0.1009, over 14333.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03986, over 167.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3497, pruned_loss=0.1056, over 2783229.99 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06993, over 43950.49 utterances.], batch size: 167, lr: 2.48e-04
+2022-09-18 14:59:04,887 INFO [train.py:885] (1/2) Epoch 19, batch 4300, loss[loss=0.2192, simple_loss=0.2724, pruned_loss=0.08301, over 13963.00 frames. utt_duration=811.1 frames, utt_pad_proportion=0.05579, over 69.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.351, pruned_loss=0.1059, over 2785549.39 frames. utt_duration=252.2 frames, utt_pad_proportion=0.0687, over 44436.81 utterances.], batch size: 69, lr: 2.48e-04
+2022-09-18 14:59:34,230 INFO [train.py:885] (1/2) Epoch 19, batch 4350, loss[loss=0.3655, simple_loss=0.4428, pruned_loss=0.144, over 13789.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07101, over 411.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3521, pruned_loss=0.1067, over 2786269.41 frames. utt_duration=253 frames, utt_pad_proportion=0.06997, over 44315.18 utterances.], batch size: 411, lr: 2.48e-04
+2022-09-18 15:00:03,329 INFO [train.py:885] (1/2) Epoch 19, batch 4400, loss[loss=0.3483, simple_loss=0.401, pruned_loss=0.1478, over 14209.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0441, over 306.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3499, pruned_loss=0.1057, over 2784477.54 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06925, over 43603.31 utterances.], batch size: 306, lr: 2.48e-04
+2022-09-18 15:00:32,994 INFO [train.py:885] (1/2) Epoch 19, batch 4450, loss[loss=0.3215, simple_loss=0.3805, pruned_loss=0.1312, over 14319.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03694, over 130.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3524, pruned_loss=0.1069, over 2780955.27 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07125, over 44796.73 utterances.], batch size: 130, lr: 2.48e-04
+2022-09-18 15:01:02,172 INFO [train.py:885] (1/2) Epoch 19, batch 4500, loss[loss=0.2425, simple_loss=0.3024, pruned_loss=0.0913, over 14154.00 frames. utt_duration=520.8 frames, utt_pad_proportion=0.04621, over 109.00 utterances.], tot_loss[loss=0.285, simple_loss=0.354, pruned_loss=0.108, over 2777281.51 frames. utt_duration=245 frames, utt_pad_proportion=0.07482, over 45627.18 utterances.], batch size: 109, lr: 2.48e-04
+2022-09-18 15:01:32,072 INFO [train.py:885] (1/2) Epoch 19, batch 4550, loss[loss=0.2502, simple_loss=0.314, pruned_loss=0.09321, over 14064.00 frames. utt_duration=575.5 frames, utt_pad_proportion=0.05499, over 98.00 utterances.], tot_loss[loss=0.288, simple_loss=0.3567, pruned_loss=0.1097, over 2780328.58 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07326, over 46286.32 utterances.], batch size: 98, lr: 2.48e-04
+2022-09-18 15:02:01,479 INFO [train.py:885] (1/2) Epoch 19, batch 4600, loss[loss=0.2864, simple_loss=0.3491, pruned_loss=0.1118, over 14350.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03895, over 167.00 utterances.], tot_loss[loss=0.2902, simple_loss=0.3589, pruned_loss=0.1107, over 2785122.43 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07153, over 47274.11 utterances.], batch size: 167, lr: 2.48e-04
+2022-09-18 15:02:31,049 INFO [train.py:885] (1/2) Epoch 19, batch 4650, loss[loss=0.2811, simple_loss=0.3704, pruned_loss=0.09594, over 13992.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05688, over 365.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3597, pruned_loss=0.1111, over 2781008.30 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07203, over 47524.78 utterances.], batch size: 365, lr: 2.48e-04
+2022-09-18 15:03:00,450 INFO [train.py:885] (1/2) Epoch 19, batch 4700, loss[loss=0.1733, simple_loss=0.2467, pruned_loss=0.04997, over 12073.00 frames. utt_duration=2014 frames, utt_pad_proportion=0.1926, over 24.00 utterances.], tot_loss[loss=0.2926, simple_loss=0.3614, pruned_loss=0.1119, over 2783171.23 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07028, over 47610.97 utterances.], batch size: 24, lr: 2.48e-04
+2022-09-18 15:03:29,550 INFO [train.py:885] (1/2) Epoch 19, batch 4750, loss[loss=0.4711, simple_loss=0.4966, pruned_loss=0.2229, over 14212.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04419, over 335.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3594, pruned_loss=0.1104, over 2785424.54 frames. utt_duration=238.2 frames, utt_pad_proportion=0.06948, over 47072.56 utterances.], batch size: 335, lr: 2.48e-04
+2022-09-18 15:03:59,383 INFO [train.py:885] (1/2) Epoch 19, batch 4800, loss[loss=0.2908, simple_loss=0.3649, pruned_loss=0.1083, over 14270.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04032, over 225.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3597, pruned_loss=0.11, over 2781066.62 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07092, over 47665.52 utterances.], batch size: 225, lr: 2.48e-04
+2022-09-18 15:04:29,940 INFO [train.py:885] (1/2) Epoch 19, batch 4850, loss[loss=0.4115, simple_loss=0.4928, pruned_loss=0.165, over 13696.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07051, over 478.00 utterances.], tot_loss[loss=0.2913, simple_loss=0.3604, pruned_loss=0.1111, over 2779043.90 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07131, over 46864.10 utterances.], batch size: 478, lr: 2.48e-04
+2022-09-18 15:04:59,201 INFO [train.py:885] (1/2) Epoch 19, batch 4900, loss[loss=0.4018, simple_loss=0.4759, pruned_loss=0.1638, over 13604.00 frames. utt_duration=98.58 frames, utt_pad_proportion=0.07872, over 560.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3586, pruned_loss=0.1099, over 2776972.40 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07094, over 46583.81 utterances.], batch size: 560, lr: 2.48e-04
+2022-09-18 15:05:29,334 INFO [train.py:885] (1/2) Epoch 19, batch 4950, loss[loss=0.2543, simple_loss=0.3184, pruned_loss=0.09512, over 14256.00 frames. utt_duration=476.5 frames, utt_pad_proportion=0.04312, over 120.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.355, pruned_loss=0.1082, over 2782284.72 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06873, over 44750.17 utterances.], batch size: 120, lr: 2.48e-04
+2022-09-18 15:05:59,388 INFO [train.py:885] (1/2) Epoch 19, batch 5000, loss[loss=0.285, simple_loss=0.3585, pruned_loss=0.1058, over 14357.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03544, over 210.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3514, pruned_loss=0.1064, over 2783192.83 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06794, over 43688.42 utterances.], batch size: 210, lr: 2.48e-04
+2022-09-18 15:06:28,830 INFO [train.py:885] (1/2) Epoch 19, batch 5050, loss[loss=0.3737, simple_loss=0.455, pruned_loss=0.1462, over 13757.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07248, over 411.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3538, pruned_loss=0.1076, over 2778392.02 frames. utt_duration=248 frames, utt_pad_proportion=0.07178, over 45085.16 utterances.], batch size: 411, lr: 2.48e-04
+2022-09-18 15:06:58,126 INFO [train.py:885] (1/2) Epoch 19, batch 5100, loss[loss=0.2752, simple_loss=0.3498, pruned_loss=0.1003, over 14268.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04073, over 180.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3546, pruned_loss=0.1081, over 2783465.64 frames. utt_duration=245.3 frames, utt_pad_proportion=0.0707, over 45654.56 utterances.], batch size: 180, lr: 2.47e-04
+2022-09-18 15:07:28,221 INFO [train.py:885] (1/2) Epoch 19, batch 5150, loss[loss=0.1868, simple_loss=0.254, pruned_loss=0.05975, over 13917.00 frames. utt_duration=929.2 frames, utt_pad_proportion=0.06329, over 60.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3571, pruned_loss=0.1091, over 2780190.38 frames. utt_duration=236 frames, utt_pad_proportion=0.07315, over 47412.04 utterances.], batch size: 60, lr: 2.47e-04
+2022-09-18 15:07:56,879 INFO [train.py:885] (1/2) Epoch 19, batch 5200, loss[loss=0.2185, simple_loss=0.2789, pruned_loss=0.07908, over 14124.00 frames. utt_duration=808.6 frames, utt_pad_proportion=0.05537, over 70.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.354, pruned_loss=0.1081, over 2778105.65 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07384, over 46273.74 utterances.], batch size: 70, lr: 2.47e-04
+2022-09-18 15:08:26,721 INFO [train.py:885] (1/2) Epoch 19, batch 5250, loss[loss=0.1764, simple_loss=0.2396, pruned_loss=0.05666, over 12170.00 frames. utt_duration=2029 frames, utt_pad_proportion=0.1551, over 24.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3531, pruned_loss=0.1074, over 2781484.99 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07249, over 45938.44 utterances.], batch size: 24, lr: 2.47e-04
+2022-09-18 15:08:56,504 INFO [train.py:885] (1/2) Epoch 19, batch 5300, loss[loss=0.4358, simple_loss=0.4659, pruned_loss=0.2029, over 14313.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.0399, over 262.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3535, pruned_loss=0.1074, over 2779262.26 frames. utt_duration=240 frames, utt_pad_proportion=0.07366, over 46612.83 utterances.], batch size: 262, lr: 2.47e-04
+2022-09-18 15:09:25,750 INFO [train.py:885] (1/2) Epoch 19, batch 5350, loss[loss=0.1946, simple_loss=0.2544, pruned_loss=0.06742, over 14073.00 frames. utt_duration=805.6 frames, utt_pad_proportion=0.05885, over 70.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3504, pruned_loss=0.1053, over 2776359.69 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07458, over 45883.26 utterances.], batch size: 70, lr: 2.47e-04
+2022-09-18 15:10:01,525 INFO [train.py:885] (1/2) Epoch 19, batch 5400, loss[loss=0.2159, simple_loss=0.285, pruned_loss=0.07342, over 14186.00 frames. utt_duration=639.2 frames, utt_pad_proportion=0.04732, over 89.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3485, pruned_loss=0.1037, over 2777145.30 frames. utt_duration=247.8 frames, utt_pad_proportion=0.0735, over 45097.31 utterances.], batch size: 89, lr: 2.47e-04
+2022-09-18 15:10:32,022 INFO [train.py:885] (1/2) Epoch 19, batch 5450, loss[loss=0.2258, simple_loss=0.2854, pruned_loss=0.08308, over 14209.00 frames. utt_duration=640.3 frames, utt_pad_proportion=0.04578, over 89.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.349, pruned_loss=0.1046, over 2778501.09 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07149, over 44673.71 utterances.], batch size: 89, lr: 2.47e-04
+2022-09-18 15:11:01,056 INFO [train.py:885] (1/2) Epoch 19, batch 5500, loss[loss=0.1899, simple_loss=0.2401, pruned_loss=0.06979, over 13657.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.0784, over 50.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3498, pruned_loss=0.1052, over 2782697.39 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06969, over 44583.88 utterances.], batch size: 50, lr: 2.47e-04
+2022-09-18 15:11:30,658 INFO [train.py:885] (1/2) Epoch 19, batch 5550, loss[loss=0.4207, simple_loss=0.4515, pruned_loss=0.1949, over 14201.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04511, over 335.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3524, pruned_loss=0.107, over 2785569.04 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07003, over 45103.72 utterances.], batch size: 335, lr: 2.47e-04
+2022-09-18 15:11:59,850 INFO [train.py:885] (1/2) Epoch 19, batch 5600, loss[loss=0.4712, simple_loss=0.5411, pruned_loss=0.2007, over 13158.00 frames. utt_duration=82.18 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3516, pruned_loss=0.1056, over 2784270.69 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06962, over 45163.21 utterances.], batch size: 653, lr: 2.47e-04
+2022-09-18 15:12:29,634 INFO [train.py:885] (1/2) Epoch 19, batch 5650, loss[loss=0.3618, simple_loss=0.4165, pruned_loss=0.1536, over 14288.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.04072, over 283.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.353, pruned_loss=0.1067, over 2785407.18 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06996, over 45518.92 utterances.], batch size: 283, lr: 2.47e-04
+2022-09-18 15:12:59,048 INFO [train.py:885] (1/2) Epoch 19, batch 5700, loss[loss=0.1593, simple_loss=0.2357, pruned_loss=0.04151, over 13204.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1125, over 33.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3535, pruned_loss=0.1067, over 2787974.87 frames. utt_duration=246.1 frames, utt_pad_proportion=0.0698, over 45581.99 utterances.], batch size: 33, lr: 2.47e-04
+2022-09-18 15:13:28,487 INFO [train.py:885] (1/2) Epoch 19, batch 5750, loss[loss=0.285, simple_loss=0.3361, pruned_loss=0.1169, over 14190.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04359, over 109.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3537, pruned_loss=0.1083, over 2779998.03 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07167, over 45072.99 utterances.], batch size: 109, lr: 2.47e-04
+2022-09-18 15:13:58,137 INFO [train.py:885] (1/2) Epoch 19, batch 5800, loss[loss=0.3277, simple_loss=0.3923, pruned_loss=0.1315, over 14382.00 frames. utt_duration=275.4 frames, utt_pad_proportion=0.03378, over 210.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3544, pruned_loss=0.1084, over 2780508.16 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07155, over 45711.47 utterances.], batch size: 210, lr: 2.47e-04
+2022-09-18 15:14:27,682 INFO [train.py:885] (1/2) Epoch 19, batch 5850, loss[loss=0.3066, simple_loss=0.371, pruned_loss=0.1211, over 14353.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.0382, over 167.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3552, pruned_loss=0.1092, over 2782783.04 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06981, over 45273.33 utterances.], batch size: 167, lr: 2.47e-04
+2022-09-18 15:14:57,949 INFO [train.py:885] (1/2) Epoch 19, batch 5900, loss[loss=0.2912, simple_loss=0.3594, pruned_loss=0.1114, over 14381.00 frames. utt_duration=296.6 frames, utt_pad_proportion=0.03394, over 195.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3531, pruned_loss=0.1079, over 2782166.71 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07056, over 45228.71 utterances.], batch size: 195, lr: 2.47e-04
+2022-09-18 15:15:31,781 INFO [train.py:885] (1/2) Epoch 19, batch 5950, loss[loss=0.3826, simple_loss=0.4183, pruned_loss=0.1735, over 14237.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04232, over 335.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3543, pruned_loss=0.1082, over 2783933.67 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07029, over 45630.47 utterances.], batch size: 335, lr: 2.47e-04
+2022-09-18 15:16:01,397 INFO [train.py:885] (1/2) Epoch 19, batch 6000, loss[loss=0.2657, simple_loss=0.3335, pruned_loss=0.09895, over 14164.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.0454, over 109.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.356, pruned_loss=0.1082, over 2784110.42 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07085, over 47220.33 utterances.], batch size: 109, lr: 2.47e-04
+2022-09-18 15:16:01,397 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 15:16:06,066 INFO [train.py:914] (1/2) Epoch 19, validation: loss=0.1909, simple_loss=0.2707, pruned_loss=0.05554, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 15:16:35,193 INFO [train.py:885] (1/2) Epoch 19, batch 6050, loss[loss=0.2823, simple_loss=0.3872, pruned_loss=0.08867, over 13675.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07888, over 477.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3542, pruned_loss=0.1079, over 2787272.62 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06863, over 45838.52 utterances.], batch size: 477, lr: 2.47e-04
+2022-09-18 15:17:04,767 INFO [train.py:885] (1/2) Epoch 19, batch 6100, loss[loss=0.3266, simple_loss=0.3892, pruned_loss=0.132, over 14279.00 frames. utt_duration=188.2 frames, utt_pad_proportion=0.0396, over 306.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3546, pruned_loss=0.1078, over 2786728.16 frames. utt_duration=240.9 frames, utt_pad_proportion=0.0691, over 46547.11 utterances.], batch size: 306, lr: 2.47e-04
+2022-09-18 15:17:34,555 INFO [train.py:885] (1/2) Epoch 19, batch 6150, loss[loss=0.5558, simple_loss=0.6224, pruned_loss=0.2446, over 12481.00 frames. utt_duration=63.21 frames, utt_pad_proportion=0.1459, over 810.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.3585, pruned_loss=0.1092, over 2782987.82 frames. utt_duration=230.8 frames, utt_pad_proportion=0.07208, over 48551.25 utterances.], batch size: 810, lr: 2.47e-04
+2022-09-18 15:18:04,723 INFO [train.py:885] (1/2) Epoch 19, batch 6200, loss[loss=0.18, simple_loss=0.2409, pruned_loss=0.05957, over 13218.00 frames. utt_duration=1291 frames, utt_pad_proportion=0.09826, over 41.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3558, pruned_loss=0.108, over 2782467.96 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07241, over 46960.68 utterances.], batch size: 41, lr: 2.47e-04
+2022-09-18 15:18:33,252 INFO [train.py:885] (1/2) Epoch 19, batch 6250, loss[loss=0.2355, simple_loss=0.2991, pruned_loss=0.08594, over 14269.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.04064, over 130.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3507, pruned_loss=0.1055, over 2785593.23 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06972, over 44075.94 utterances.], batch size: 130, lr: 2.47e-04
+2022-09-18 15:19:03,175 INFO [train.py:885] (1/2) Epoch 19, batch 6300, loss[loss=0.3208, simple_loss=0.4136, pruned_loss=0.114, over 13604.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08269, over 477.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3508, pruned_loss=0.1056, over 2783850.28 frames. utt_duration=251 frames, utt_pad_proportion=0.0693, over 44630.02 utterances.], batch size: 477, lr: 2.47e-04
+2022-09-18 15:19:33,066 INFO [train.py:885] (1/2) Epoch 19, batch 6350, loss[loss=0.237, simple_loss=0.3061, pruned_loss=0.08392, over 14190.00 frames. utt_duration=639.4 frames, utt_pad_proportion=0.04707, over 89.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3503, pruned_loss=0.1055, over 2781794.61 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06972, over 44376.91 utterances.], batch size: 89, lr: 2.47e-04
+2022-09-18 15:20:02,789 INFO [train.py:885] (1/2) Epoch 19, batch 6400, loss[loss=0.1691, simple_loss=0.2339, pruned_loss=0.0522, over 13942.00 frames. utt_duration=931 frames, utt_pad_proportion=0.06432, over 60.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3496, pruned_loss=0.1053, over 2780956.17 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06994, over 44179.19 utterances.], batch size: 60, lr: 2.47e-04
+2022-09-18 15:20:32,590 INFO [train.py:885] (1/2) Epoch 19, batch 6450, loss[loss=0.3588, simple_loss=0.4579, pruned_loss=0.1298, over 13158.00 frames. utt_duration=82.16 frames, utt_pad_proportion=0.1069, over 653.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3513, pruned_loss=0.1061, over 2779074.92 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07286, over 44950.51 utterances.], batch size: 653, lr: 2.47e-04
+2022-09-18 15:21:01,301 INFO [train.py:885] (1/2) Epoch 19, batch 6500, loss[loss=0.2114, simple_loss=0.2832, pruned_loss=0.06979, over 14313.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03897, over 120.00 utterances.], tot_loss[loss=0.2862, simple_loss=0.3553, pruned_loss=0.1086, over 2777553.23 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07382, over 46650.54 utterances.], batch size: 120, lr: 2.47e-04
+2022-09-18 15:21:31,352 INFO [train.py:885] (1/2) Epoch 19, batch 6550, loss[loss=0.3908, simple_loss=0.4648, pruned_loss=0.1584, over 13624.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08085, over 477.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3554, pruned_loss=0.1084, over 2780433.14 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07319, over 46980.77 utterances.], batch size: 477, lr: 2.47e-04
+2022-09-18 15:22:01,017 INFO [train.py:885] (1/2) Epoch 19, batch 6600, loss[loss=0.363, simple_loss=0.4499, pruned_loss=0.138, over 13639.00 frames. utt_duration=98.81 frames, utt_pad_proportion=0.07652, over 560.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3553, pruned_loss=0.1082, over 2783364.14 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07231, over 46829.05 utterances.], batch size: 560, lr: 2.47e-04
+2022-09-18 15:22:30,215 INFO [train.py:885] (1/2) Epoch 19, batch 6650, loss[loss=0.3347, simple_loss=0.4348, pruned_loss=0.1173, over 13641.00 frames. utt_duration=98.8 frames, utt_pad_proportion=0.07664, over 560.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3508, pruned_loss=0.1057, over 2783808.06 frames. utt_duration=250 frames, utt_pad_proportion=0.07092, over 44805.41 utterances.], batch size: 560, lr: 2.47e-04
+2022-09-18 15:22:59,349 INFO [train.py:885] (1/2) Epoch 19, batch 6700, loss[loss=0.2835, simple_loss=0.3436, pruned_loss=0.1117, over 14215.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.04798, over 141.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3511, pruned_loss=0.1061, over 2782822.64 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07192, over 45069.96 utterances.], batch size: 141, lr: 2.47e-04
+2022-09-18 15:23:29,327 INFO [train.py:885] (1/2) Epoch 19, batch 6750, loss[loss=0.3524, simple_loss=0.4335, pruned_loss=0.1357, over 13632.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08151, over 477.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3503, pruned_loss=0.1058, over 2783124.50 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07057, over 44229.82 utterances.], batch size: 477, lr: 2.47e-04
+2022-09-18 15:23:58,651 INFO [train.py:885] (1/2) Epoch 19, batch 6800, loss[loss=0.3205, simple_loss=0.3891, pruned_loss=0.126, over 14356.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03629, over 283.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3508, pruned_loss=0.1055, over 2785306.72 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06917, over 44514.25 utterances.], batch size: 283, lr: 2.47e-04
+2022-09-18 15:24:28,500 INFO [train.py:885] (1/2) Epoch 19, batch 6850, loss[loss=0.2159, simple_loss=0.2603, pruned_loss=0.08578, over 12286.00 frames. utt_duration=2050 frames, utt_pad_proportion=0.1552, over 24.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3504, pruned_loss=0.105, over 2781649.21 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07149, over 45406.61 utterances.], batch size: 24, lr: 2.47e-04
+2022-09-18 15:24:57,748 INFO [train.py:885] (1/2) Epoch 19, batch 6900, loss[loss=0.2899, simple_loss=0.364, pruned_loss=0.1079, over 14292.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04082, over 262.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3545, pruned_loss=0.1072, over 2781881.25 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07303, over 47369.09 utterances.], batch size: 262, lr: 2.47e-04
+2022-09-18 15:25:27,851 INFO [train.py:885] (1/2) Epoch 19, batch 6950, loss[loss=0.2907, simple_loss=0.3629, pruned_loss=0.1092, over 14306.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.03989, over 283.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3545, pruned_loss=0.1077, over 2783038.83 frames. utt_duration=239 frames, utt_pad_proportion=0.07129, over 46870.69 utterances.], batch size: 283, lr: 2.47e-04
+2022-09-18 15:25:57,052 INFO [train.py:885] (1/2) Epoch 19, batch 7000, loss[loss=0.3036, simple_loss=0.3913, pruned_loss=0.108, over 13935.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.06001, over 365.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3494, pruned_loss=0.1052, over 2779153.33 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06997, over 44988.47 utterances.], batch size: 365, lr: 2.46e-04
+2022-09-18 15:26:26,888 INFO [train.py:885] (1/2) Epoch 19, batch 7050, loss[loss=0.3422, simple_loss=0.4007, pruned_loss=0.1418, over 14204.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04417, over 306.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3484, pruned_loss=0.104, over 2778561.38 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07052, over 44975.16 utterances.], batch size: 306, lr: 2.46e-04
+2022-09-18 15:26:56,644 INFO [train.py:885] (1/2) Epoch 19, batch 7100, loss[loss=0.3038, simple_loss=0.3857, pruned_loss=0.1109, over 13968.00 frames. utt_duration=154 frames, utt_pad_proportion=0.06079, over 366.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3504, pruned_loss=0.1054, over 2781033.48 frames. utt_duration=246 frames, utt_pad_proportion=0.06949, over 45488.35 utterances.], batch size: 366, lr: 2.46e-04
+2022-09-18 15:27:26,018 INFO [train.py:885] (1/2) Epoch 19, batch 7150, loss[loss=0.3232, simple_loss=0.415, pruned_loss=0.1157, over 13629.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08035, over 477.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3497, pruned_loss=0.104, over 2785564.29 frames. utt_duration=248 frames, utt_pad_proportion=0.06777, over 45191.03 utterances.], batch size: 477, lr: 2.46e-04
+2022-09-18 15:27:55,495 INFO [train.py:885] (1/2) Epoch 19, batch 7200, loss[loss=0.3177, simple_loss=0.3818, pruned_loss=0.1269, over 14332.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04035, over 167.00 utterances.], tot_loss[loss=0.281, simple_loss=0.352, pruned_loss=0.105, over 2787242.39 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06886, over 46001.74 utterances.], batch size: 167, lr: 2.46e-04
+2022-09-18 15:28:24,815 INFO [train.py:885] (1/2) Epoch 19, batch 7250, loss[loss=0.2587, simple_loss=0.3412, pruned_loss=0.08813, over 14268.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04426, over 141.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3494, pruned_loss=0.1046, over 2787096.21 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06766, over 44629.42 utterances.], batch size: 141, lr: 2.46e-04
+2022-09-18 15:28:54,780 INFO [train.py:885] (1/2) Epoch 19, batch 7300, loss[loss=0.3151, simple_loss=0.3708, pruned_loss=0.1297, over 14261.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04117, over 225.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3493, pruned_loss=0.1052, over 2784180.51 frames. utt_duration=251.1 frames, utt_pad_proportion=0.0677, over 44606.68 utterances.], batch size: 225, lr: 2.46e-04
+2022-09-18 15:29:23,991 INFO [train.py:885] (1/2) Epoch 19, batch 7350, loss[loss=0.3408, simple_loss=0.4338, pruned_loss=0.1239, over 13621.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.07699, over 560.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3503, pruned_loss=0.1065, over 2784132.42 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06744, over 44721.47 utterances.], batch size: 560, lr: 2.46e-04
+2022-09-18 15:29:53,659 INFO [train.py:885] (1/2) Epoch 19, batch 7400, loss[loss=0.3307, simple_loss=0.3876, pruned_loss=0.137, over 14315.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0384, over 283.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3512, pruned_loss=0.1062, over 2783102.39 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06814, over 45122.66 utterances.], batch size: 283, lr: 2.46e-04
+2022-09-18 15:30:22,954 INFO [train.py:885] (1/2) Epoch 19, batch 7450, loss[loss=0.4117, simple_loss=0.4484, pruned_loss=0.1875, over 14347.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03603, over 195.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3506, pruned_loss=0.1055, over 2783869.97 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06675, over 44773.11 utterances.], batch size: 195, lr: 2.46e-04
+2022-09-18 15:30:52,177 INFO [train.py:885] (1/2) Epoch 19, batch 7500, loss[loss=0.227, simple_loss=0.298, pruned_loss=0.07801, over 14241.00 frames. utt_duration=641.4 frames, utt_pad_proportion=0.04268, over 89.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3538, pruned_loss=0.1072, over 2781178.86 frames. utt_duration=241.5 frames, utt_pad_proportion=0.06985, over 46341.07 utterances.], batch size: 89, lr: 2.46e-04
+2022-09-18 15:31:21,996 INFO [train.py:885] (1/2) Epoch 19, batch 7550, loss[loss=0.3983, simple_loss=0.4669, pruned_loss=0.1649, over 13664.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08051, over 478.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3561, pruned_loss=0.1084, over 2781962.55 frames. utt_duration=236.6 frames, utt_pad_proportion=0.0709, over 47337.13 utterances.], batch size: 478, lr: 2.46e-04
+2022-09-18 15:31:51,459 INFO [train.py:885] (1/2) Epoch 19, batch 7600, loss[loss=0.2158, simple_loss=0.2656, pruned_loss=0.08303, over 13240.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.09572, over 41.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3563, pruned_loss=0.1085, over 2783523.88 frames. utt_duration=237.8 frames, utt_pad_proportion=0.0719, over 47121.81 utterances.], batch size: 41, lr: 2.46e-04
+2022-09-18 15:32:21,186 INFO [train.py:885] (1/2) Epoch 19, batch 7650, loss[loss=0.2337, simple_loss=0.2987, pruned_loss=0.08434, over 14126.00 frames. utt_duration=578 frames, utt_pad_proportion=0.05092, over 98.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3517, pruned_loss=0.1065, over 2784502.43 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07062, over 45531.13 utterances.], batch size: 98, lr: 2.46e-04
+2022-09-18 15:32:50,795 INFO [train.py:885] (1/2) Epoch 19, batch 7700, loss[loss=0.1947, simple_loss=0.2592, pruned_loss=0.06513, over 13624.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08131, over 50.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3504, pruned_loss=0.1065, over 2782481.32 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07027, over 44532.88 utterances.], batch size: 50, lr: 2.46e-04
+2022-09-18 15:33:20,249 INFO [train.py:885] (1/2) Epoch 19, batch 7750, loss[loss=0.2487, simple_loss=0.3075, pruned_loss=0.09491, over 14198.00 frames. utt_duration=522.5 frames, utt_pad_proportion=0.04303, over 109.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3518, pruned_loss=0.1072, over 2778038.56 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07234, over 45157.10 utterances.], batch size: 109, lr: 2.46e-04
+2022-09-18 15:33:49,433 INFO [train.py:885] (1/2) Epoch 19, batch 7800, loss[loss=0.2176, simple_loss=0.2889, pruned_loss=0.07318, over 14090.00 frames. utt_duration=714.7 frames, utt_pad_proportion=0.05465, over 79.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3536, pruned_loss=0.1079, over 2777867.09 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07137, over 46362.35 utterances.], batch size: 79, lr: 2.46e-04
+2022-09-18 15:34:19,084 INFO [train.py:885] (1/2) Epoch 19, batch 7850, loss[loss=0.2557, simple_loss=0.3207, pruned_loss=0.09539, over 14322.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03731, over 130.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3526, pruned_loss=0.1069, over 2780051.43 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07129, over 45968.77 utterances.], batch size: 130, lr: 2.46e-04
+2022-09-18 15:34:48,803 INFO [train.py:885] (1/2) Epoch 19, batch 7900, loss[loss=0.3516, simple_loss=0.4134, pruned_loss=0.1449, over 14238.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04281, over 335.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3508, pruned_loss=0.1061, over 2777006.04 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07152, over 45466.04 utterances.], batch size: 335, lr: 2.46e-04
+2022-09-18 15:35:18,880 INFO [train.py:885] (1/2) Epoch 19, batch 7950, loss[loss=0.1759, simple_loss=0.239, pruned_loss=0.05634, over 12960.00 frames. utt_duration=2075 frames, utt_pad_proportion=0.1331, over 25.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3544, pruned_loss=0.1078, over 2771641.87 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07553, over 47096.14 utterances.], batch size: 25, lr: 2.46e-04
+2022-09-18 15:35:48,283 INFO [train.py:885] (1/2) Epoch 19, batch 8000, loss[loss=0.195, simple_loss=0.2682, pruned_loss=0.06092, over 13552.00 frames. utt_duration=1324 frames, utt_pad_proportion=0.07569, over 41.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3527, pruned_loss=0.1072, over 2773342.07 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07434, over 45794.06 utterances.], batch size: 41, lr: 2.46e-04
+2022-09-18 15:36:17,504 INFO [train.py:885] (1/2) Epoch 19, batch 8050, loss[loss=0.353, simple_loss=0.4452, pruned_loss=0.1304, over 13655.00 frames. utt_duration=98.94 frames, utt_pad_proportion=0.07537, over 560.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3492, pruned_loss=0.1044, over 2774385.11 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07415, over 45670.20 utterances.], batch size: 560, lr: 2.46e-04
+2022-09-18 15:36:47,285 INFO [train.py:885] (1/2) Epoch 19, batch 8100, loss[loss=0.2078, simple_loss=0.2778, pruned_loss=0.06886, over 13263.00 frames. utt_duration=1609 frames, utt_pad_proportion=0.1035, over 33.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3512, pruned_loss=0.1055, over 2777996.30 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07408, over 45983.17 utterances.], batch size: 33, lr: 2.46e-04
+2022-09-18 15:37:16,940 INFO [train.py:885] (1/2) Epoch 19, batch 8150, loss[loss=0.3439, simple_loss=0.3899, pruned_loss=0.149, over 14322.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03802, over 283.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3487, pruned_loss=0.1042, over 2782645.58 frames. utt_duration=250 frames, utt_pad_proportion=0.07001, over 44783.10 utterances.], batch size: 283, lr: 2.46e-04
+2022-09-18 15:37:46,551 INFO [train.py:885] (1/2) Epoch 19, batch 8200, loss[loss=0.1804, simple_loss=0.2474, pruned_loss=0.05666, over 13921.00 frames. utt_duration=929.6 frames, utt_pad_proportion=0.05913, over 60.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3476, pruned_loss=0.1035, over 2785079.99 frames. utt_duration=254 frames, utt_pad_proportion=0.06884, over 44115.76 utterances.], batch size: 60, lr: 2.46e-04
+2022-09-18 15:38:15,670 INFO [train.py:885] (1/2) Epoch 19, batch 8250, loss[loss=0.1722, simple_loss=0.2386, pruned_loss=0.05284, over 13259.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.09579, over 41.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3516, pruned_loss=0.1048, over 2783828.28 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07083, over 46667.21 utterances.], batch size: 41, lr: 2.46e-04
+2022-09-18 15:38:45,207 INFO [train.py:885] (1/2) Epoch 19, batch 8300, loss[loss=0.2275, simple_loss=0.2983, pruned_loss=0.07832, over 14112.00 frames. utt_duration=577.5 frames, utt_pad_proportion=0.05171, over 98.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3515, pruned_loss=0.1048, over 2783486.13 frames. utt_duration=242.7 frames, utt_pad_proportion=0.0713, over 46161.59 utterances.], batch size: 98, lr: 2.46e-04
+2022-09-18 15:39:14,425 INFO [train.py:885] (1/2) Epoch 19, batch 8350, loss[loss=0.3163, simple_loss=0.4038, pruned_loss=0.1144, over 13764.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07248, over 411.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3564, pruned_loss=0.1076, over 2780101.39 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07126, over 47574.62 utterances.], batch size: 411, lr: 2.46e-04
+2022-09-18 15:39:43,556 INFO [train.py:885] (1/2) Epoch 19, batch 8400, loss[loss=0.3974, simple_loss=0.49, pruned_loss=0.1524, over 13147.00 frames. utt_duration=82.08 frames, utt_pad_proportion=0.1078, over 653.00 utterances.], tot_loss[loss=0.2876, simple_loss=0.3576, pruned_loss=0.1088, over 2774413.60 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07415, over 47807.89 utterances.], batch size: 653, lr: 2.46e-04
+2022-09-18 15:40:13,254 INFO [train.py:885] (1/2) Epoch 19, batch 8450, loss[loss=0.2073, simple_loss=0.2799, pruned_loss=0.06739, over 14142.00 frames. utt_duration=578.6 frames, utt_pad_proportion=0.05149, over 98.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3569, pruned_loss=0.1085, over 2775708.06 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07406, over 47567.23 utterances.], batch size: 98, lr: 2.46e-04
+2022-09-18 15:40:42,479 INFO [train.py:885] (1/2) Epoch 19, batch 8500, loss[loss=0.2658, simple_loss=0.34, pruned_loss=0.09584, over 14192.00 frames. utt_duration=404 frames, utt_pad_proportion=0.04951, over 141.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3513, pruned_loss=0.1057, over 2777058.06 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07178, over 45372.95 utterances.], batch size: 141, lr: 2.46e-04
+2022-09-18 15:41:12,903 INFO [train.py:885] (1/2) Epoch 19, batch 8550, loss[loss=0.2024, simple_loss=0.2775, pruned_loss=0.06369, over 14221.00 frames. utt_duration=523.4 frames, utt_pad_proportion=0.04147, over 109.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3563, pruned_loss=0.1087, over 2780861.97 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07189, over 46814.50 utterances.], batch size: 109, lr: 2.46e-04
+2022-09-18 15:41:41,700 INFO [train.py:885] (1/2) Epoch 19, batch 8600, loss[loss=0.2164, simple_loss=0.2853, pruned_loss=0.07374, over 14051.00 frames. utt_duration=575.2 frames, utt_pad_proportion=0.05401, over 98.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3526, pruned_loss=0.1068, over 2784593.73 frames. utt_duration=246 frames, utt_pad_proportion=0.07016, over 45557.87 utterances.], batch size: 98, lr: 2.46e-04
+2022-09-18 15:42:11,259 INFO [train.py:885] (1/2) Epoch 19, batch 8650, loss[loss=0.2487, simple_loss=0.3039, pruned_loss=0.09673, over 14184.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04411, over 109.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3516, pruned_loss=0.1055, over 2784019.20 frames. utt_duration=242.2 frames, utt_pad_proportion=0.06963, over 46256.38 utterances.], batch size: 109, lr: 2.46e-04
+2022-09-18 15:42:41,394 INFO [train.py:885] (1/2) Epoch 19, batch 8700, loss[loss=0.317, simple_loss=0.4183, pruned_loss=0.1079, over 13638.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07976, over 477.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3523, pruned_loss=0.1063, over 2782251.58 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07086, over 46400.12 utterances.], batch size: 477, lr: 2.46e-04
+2022-09-18 15:43:10,942 INFO [train.py:885] (1/2) Epoch 19, batch 8750, loss[loss=0.2892, simple_loss=0.3509, pruned_loss=0.1138, over 14233.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04666, over 141.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3528, pruned_loss=0.1064, over 2774490.16 frames. utt_duration=237 frames, utt_pad_proportion=0.07428, over 47126.79 utterances.], batch size: 141, lr: 2.46e-04
+2022-09-18 15:43:40,397 INFO [train.py:885] (1/2) Epoch 19, batch 8800, loss[loss=0.5772, simple_loss=0.6405, pruned_loss=0.2569, over 12555.00 frames. utt_duration=63.33 frames, utt_pad_proportion=0.1442, over 811.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3534, pruned_loss=0.107, over 2779655.95 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07269, over 46566.71 utterances.], batch size: 811, lr: 2.46e-04
+2022-09-18 15:44:10,452 INFO [train.py:885] (1/2) Epoch 19, batch 8850, loss[loss=0.6016, simple_loss=0.663, pruned_loss=0.2701, over 12483.00 frames. utt_duration=63.23 frames, utt_pad_proportion=0.1456, over 810.00 utterances.], tot_loss[loss=0.2872, simple_loss=0.3567, pruned_loss=0.1089, over 2778261.93 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07429, over 47268.55 utterances.], batch size: 810, lr: 2.46e-04
+2022-09-18 15:44:40,119 INFO [train.py:885] (1/2) Epoch 19, batch 8900, loss[loss=0.1719, simple_loss=0.2369, pruned_loss=0.05346, over 13121.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.1151, over 33.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3556, pruned_loss=0.1078, over 2778225.78 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07224, over 47242.47 utterances.], batch size: 33, lr: 2.45e-04
+2022-09-18 15:45:09,635 INFO [train.py:885] (1/2) Epoch 19, batch 8950, loss[loss=0.214, simple_loss=0.2951, pruned_loss=0.06643, over 14188.00 frames. utt_duration=639.2 frames, utt_pad_proportion=0.04746, over 89.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.353, pruned_loss=0.1067, over 2776809.98 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07219, over 46021.38 utterances.], batch size: 89, lr: 2.45e-04
+2022-09-18 15:45:39,676 INFO [train.py:885] (1/2) Epoch 19, batch 9000, loss[loss=0.1435, simple_loss=0.2033, pruned_loss=0.04191, over 12168.00 frames. utt_duration=2029 frames, utt_pad_proportion=0.1787, over 24.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3534, pruned_loss=0.1068, over 2777258.53 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07103, over 45966.99 utterances.], batch size: 24, lr: 2.45e-04
+2022-09-18 15:45:39,678 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 15:45:43,839 INFO [train.py:914] (1/2) Epoch 19, validation: loss=0.2024, simple_loss=0.2815, pruned_loss=0.06165, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 15:46:13,586 INFO [train.py:885] (1/2) Epoch 19, batch 9050, loss[loss=0.2612, simple_loss=0.3403, pruned_loss=0.09106, over 14306.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03985, over 262.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3554, pruned_loss=0.1083, over 2777111.88 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07234, over 46921.96 utterances.], batch size: 262, lr: 2.45e-04
+2022-09-18 15:46:42,941 INFO [train.py:885] (1/2) Epoch 19, batch 9100, loss[loss=0.2218, simple_loss=0.2902, pruned_loss=0.07673, over 14189.00 frames. utt_duration=522.1 frames, utt_pad_proportion=0.04377, over 109.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3554, pruned_loss=0.1083, over 2776799.81 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07378, over 46655.83 utterances.], batch size: 109, lr: 2.45e-04
+2022-09-18 15:47:12,986 INFO [train.py:885] (1/2) Epoch 19, batch 9150, loss[loss=0.1831, simple_loss=0.2624, pruned_loss=0.05188, over 13400.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.086, over 41.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3497, pruned_loss=0.1051, over 2774474.09 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07464, over 44866.85 utterances.], batch size: 41, lr: 2.45e-04
+2022-09-18 15:47:42,452 INFO [train.py:885] (1/2) Epoch 19, batch 9200, loss[loss=0.1901, simple_loss=0.2496, pruned_loss=0.06533, over 13294.00 frames. utt_duration=1613 frames, utt_pad_proportion=0.1009, over 33.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3488, pruned_loss=0.105, over 2770019.51 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07559, over 44555.78 utterances.], batch size: 33, lr: 2.45e-04
+2022-09-18 15:48:12,006 INFO [train.py:885] (1/2) Epoch 19, batch 9250, loss[loss=0.3229, simple_loss=0.4193, pruned_loss=0.1133, over 13620.00 frames. utt_duration=98.75 frames, utt_pad_proportion=0.07712, over 560.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3492, pruned_loss=0.1053, over 2771908.23 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07677, over 44920.00 utterances.], batch size: 560, lr: 2.45e-04
+2022-09-18 15:48:41,175 INFO [train.py:885] (1/2) Epoch 19, batch 9300, loss[loss=0.2343, simple_loss=0.2944, pruned_loss=0.08713, over 12700.00 frames. utt_duration=2034 frames, utt_pad_proportion=0.138, over 25.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3514, pruned_loss=0.1066, over 2770154.47 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07689, over 45895.31 utterances.], batch size: 25, lr: 2.45e-04
+2022-09-18 15:49:11,033 INFO [train.py:885] (1/2) Epoch 19, batch 9350, loss[loss=0.4996, simple_loss=0.5476, pruned_loss=0.2258, over 13606.00 frames. utt_duration=98.6 frames, utt_pad_proportion=0.07852, over 560.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3509, pruned_loss=0.1056, over 2769454.64 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07604, over 45768.13 utterances.], batch size: 560, lr: 2.45e-04
+2022-09-18 15:49:40,972 INFO [train.py:885] (1/2) Epoch 19, batch 9400, loss[loss=0.227, simple_loss=0.3039, pruned_loss=0.07507, over 14249.00 frames. utt_duration=641.9 frames, utt_pad_proportion=0.04194, over 89.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3502, pruned_loss=0.105, over 2773404.94 frames. utt_duration=246 frames, utt_pad_proportion=0.07529, over 45369.48 utterances.], batch size: 89, lr: 2.45e-04
+2022-09-18 15:50:10,272 INFO [train.py:885] (1/2) Epoch 19, batch 9450, loss[loss=0.3285, simple_loss=0.3917, pruned_loss=0.1326, over 14324.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03872, over 262.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.351, pruned_loss=0.1054, over 2777948.52 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07397, over 45728.83 utterances.], batch size: 262, lr: 2.45e-04
+2022-09-18 15:50:39,912 INFO [train.py:885] (1/2) Epoch 19, batch 9500, loss[loss=0.2602, simple_loss=0.323, pruned_loss=0.09864, over 14204.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.0427, over 109.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3543, pruned_loss=0.1073, over 2775957.52 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07465, over 46652.93 utterances.], batch size: 109, lr: 2.45e-04
+2022-09-18 15:51:09,790 INFO [train.py:885] (1/2) Epoch 19, batch 9550, loss[loss=0.2656, simple_loss=0.337, pruned_loss=0.09711, over 14349.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03925, over 167.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.357, pruned_loss=0.1081, over 2777264.09 frames. utt_duration=234 frames, utt_pad_proportion=0.07535, over 47777.76 utterances.], batch size: 167, lr: 2.45e-04
+2022-09-18 15:51:39,064 INFO [train.py:885] (1/2) Epoch 19, batch 9600, loss[loss=0.2825, simple_loss=0.3364, pruned_loss=0.1143, over 14253.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04521, over 141.00 utterances.], tot_loss[loss=0.2871, simple_loss=0.3562, pruned_loss=0.109, over 2780533.61 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07306, over 46764.06 utterances.], batch size: 141, lr: 2.45e-04
+2022-09-18 15:52:09,032 INFO [train.py:885] (1/2) Epoch 19, batch 9650, loss[loss=0.2316, simple_loss=0.3052, pruned_loss=0.07902, over 14353.00 frames. utt_duration=479.9 frames, utt_pad_proportion=0.03631, over 120.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3541, pruned_loss=0.1072, over 2781431.84 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07243, over 46035.61 utterances.], batch size: 120, lr: 2.45e-04
+2022-09-18 15:52:38,256 INFO [train.py:885] (1/2) Epoch 19, batch 9700, loss[loss=0.3751, simple_loss=0.4723, pruned_loss=0.139, over 13111.00 frames. utt_duration=81.94 frames, utt_pad_proportion=0.1093, over 653.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3513, pruned_loss=0.1065, over 2783423.20 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06991, over 44644.94 utterances.], batch size: 653, lr: 2.45e-04
+2022-09-18 15:53:08,174 INFO [train.py:885] (1/2) Epoch 19, batch 9750, loss[loss=0.3066, simple_loss=0.3736, pruned_loss=0.1198, over 14338.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03713, over 195.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3546, pruned_loss=0.1078, over 2780381.34 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07199, over 46532.16 utterances.], batch size: 195, lr: 2.45e-04
+2022-09-18 15:53:37,492 INFO [train.py:885] (1/2) Epoch 19, batch 9800, loss[loss=0.3019, simple_loss=0.3939, pruned_loss=0.1049, over 13810.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06903, over 411.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3547, pruned_loss=0.1081, over 2777917.08 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07296, over 46406.17 utterances.], batch size: 411, lr: 2.45e-04
+2022-09-18 15:54:07,367 INFO [train.py:885] (1/2) Epoch 19, batch 9850, loss[loss=0.2043, simple_loss=0.272, pruned_loss=0.06831, over 14193.00 frames. utt_duration=639.4 frames, utt_pad_proportion=0.04709, over 89.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3552, pruned_loss=0.1089, over 2781122.79 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07183, over 45954.71 utterances.], batch size: 89, lr: 2.45e-04
+2022-09-18 15:54:36,641 INFO [train.py:885] (1/2) Epoch 19, batch 9900, loss[loss=0.2894, simple_loss=0.3484, pruned_loss=0.1152, over 14271.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04365, over 141.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3538, pruned_loss=0.108, over 2783370.52 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07074, over 45308.96 utterances.], batch size: 141, lr: 2.45e-04
+2022-09-18 15:55:06,666 INFO [train.py:885] (1/2) Epoch 19, batch 9950, loss[loss=0.2089, simple_loss=0.2745, pruned_loss=0.0717, over 13808.00 frames. utt_duration=921.9 frames, utt_pad_proportion=0.07162, over 60.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.354, pruned_loss=0.1083, over 2782405.07 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07041, over 45387.34 utterances.], batch size: 60, lr: 2.45e-04
+2022-09-18 15:55:35,584 INFO [train.py:885] (1/2) Epoch 19, batch 10000, loss[loss=0.3159, simple_loss=0.3762, pruned_loss=0.1278, over 14355.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03572, over 210.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3532, pruned_loss=0.1072, over 2784115.89 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06872, over 45426.46 utterances.], batch size: 210, lr: 2.45e-04
+2022-09-18 15:56:06,482 INFO [train.py:885] (1/2) Epoch 19, batch 10050, loss[loss=0.2676, simple_loss=0.3505, pruned_loss=0.09238, over 14315.00 frames. utt_duration=274 frames, utt_pad_proportion=0.03856, over 210.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3563, pruned_loss=0.1087, over 2782300.42 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07021, over 46909.98 utterances.], batch size: 210, lr: 2.45e-04
+2022-09-18 15:56:36,105 INFO [train.py:885] (1/2) Epoch 19, batch 10100, loss[loss=0.3881, simple_loss=0.4326, pruned_loss=0.1718, over 14176.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04592, over 306.00 utterances.], tot_loss[loss=0.2878, simple_loss=0.357, pruned_loss=0.1093, over 2784470.34 frames. utt_duration=242.8 frames, utt_pad_proportion=0.06925, over 46154.10 utterances.], batch size: 306, lr: 2.45e-04
+2022-09-18 15:57:05,019 INFO [train.py:885] (1/2) Epoch 19, batch 10150, loss[loss=0.2991, simple_loss=0.3663, pruned_loss=0.1159, over 14243.00 frames. utt_duration=317.8 frames, utt_pad_proportion=0.04279, over 180.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3533, pruned_loss=0.1075, over 2783440.59 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06849, over 44857.64 utterances.], batch size: 180, lr: 2.45e-04
+2022-09-18 15:57:35,026 INFO [train.py:885] (1/2) Epoch 19, batch 10200, loss[loss=0.2183, simple_loss=0.2984, pruned_loss=0.06912, over 14110.00 frames. utt_duration=635.8 frames, utt_pad_proportion=0.05253, over 89.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3541, pruned_loss=0.1075, over 2783153.85 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07004, over 45538.25 utterances.], batch size: 89, lr: 2.45e-04
+2022-09-18 15:58:04,509 INFO [train.py:885] (1/2) Epoch 19, batch 10250, loss[loss=0.3065, simple_loss=0.3679, pruned_loss=0.1225, over 14275.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04014, over 180.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3535, pruned_loss=0.1071, over 2779060.77 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07001, over 45352.28 utterances.], batch size: 180, lr: 2.45e-04
+2022-09-18 15:58:34,203 INFO [train.py:885] (1/2) Epoch 19, batch 10300, loss[loss=0.1792, simple_loss=0.2673, pruned_loss=0.04554, over 13865.00 frames. utt_duration=805.2 frames, utt_pad_proportion=0.06261, over 69.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3543, pruned_loss=0.1075, over 2777764.28 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07353, over 46173.31 utterances.], batch size: 69, lr: 2.45e-04
+2022-09-18 15:59:03,675 INFO [train.py:885] (1/2) Epoch 19, batch 10350, loss[loss=0.2867, simple_loss=0.3554, pruned_loss=0.109, over 14294.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.04269, over 141.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3542, pruned_loss=0.1077, over 2776860.30 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07328, over 45896.07 utterances.], batch size: 141, lr: 2.45e-04
+2022-09-18 15:59:33,412 INFO [train.py:885] (1/2) Epoch 19, batch 10400, loss[loss=0.4715, simple_loss=0.548, pruned_loss=0.1975, over 13116.00 frames. utt_duration=81.81 frames, utt_pad_proportion=0.1108, over 653.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3577, pruned_loss=0.1094, over 2780104.62 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07299, over 46725.22 utterances.], batch size: 653, lr: 2.45e-04
+2022-09-18 16:00:02,910 INFO [train.py:885] (1/2) Epoch 19, batch 10450, loss[loss=0.2513, simple_loss=0.3222, pruned_loss=0.09025, over 14357.00 frames. utt_duration=479.9 frames, utt_pad_proportion=0.03624, over 120.00 utterances.], tot_loss[loss=0.288, simple_loss=0.357, pruned_loss=0.1095, over 2775556.45 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07458, over 46807.07 utterances.], batch size: 120, lr: 2.45e-04
+2022-09-18 16:00:32,057 INFO [train.py:885] (1/2) Epoch 19, batch 10500, loss[loss=0.2492, simple_loss=0.3444, pruned_loss=0.07703, over 14341.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03948, over 167.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3512, pruned_loss=0.1062, over 2778657.58 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07119, over 44517.19 utterances.], batch size: 167, lr: 2.45e-04
+2022-09-18 16:01:02,344 INFO [train.py:885] (1/2) Epoch 19, batch 10550, loss[loss=0.2326, simple_loss=0.2761, pruned_loss=0.0945, over 12765.00 frames. utt_duration=2044 frames, utt_pad_proportion=0.147, over 25.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3557, pruned_loss=0.1085, over 2776007.60 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07307, over 46714.03 utterances.], batch size: 25, lr: 2.45e-04
+2022-09-18 16:01:31,550 INFO [train.py:885] (1/2) Epoch 19, batch 10600, loss[loss=0.309, simple_loss=0.3708, pruned_loss=0.1236, over 14367.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03189, over 210.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3524, pruned_loss=0.1063, over 2777252.39 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07263, over 45403.34 utterances.], batch size: 210, lr: 2.45e-04
+2022-09-18 16:02:01,296 INFO [train.py:885] (1/2) Epoch 19, batch 10650, loss[loss=0.3517, simple_loss=0.4087, pruned_loss=0.1473, over 14217.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04348, over 306.00 utterances.], tot_loss[loss=0.2877, simple_loss=0.3579, pruned_loss=0.1087, over 2780605.53 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07304, over 48086.29 utterances.], batch size: 306, lr: 2.45e-04
+2022-09-18 16:02:30,778 INFO [train.py:885] (1/2) Epoch 19, batch 10700, loss[loss=0.5211, simple_loss=0.6011, pruned_loss=0.2206, over 12554.00 frames. utt_duration=63.44 frames, utt_pad_proportion=0.1428, over 811.00 utterances.], tot_loss[loss=0.291, simple_loss=0.3611, pruned_loss=0.1105, over 2779499.12 frames. utt_duration=228.2 frames, utt_pad_proportion=0.07521, over 49035.83 utterances.], batch size: 811, lr: 2.45e-04
+2022-09-18 16:03:06,756 INFO [train.py:885] (1/2) Epoch 19, batch 10750, loss[loss=0.2732, simple_loss=0.3574, pruned_loss=0.0945, over 14361.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03831, over 167.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3588, pruned_loss=0.1098, over 2774391.00 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07584, over 48003.02 utterances.], batch size: 167, lr: 2.45e-04
+2022-09-18 16:03:36,752 INFO [train.py:885] (1/2) Epoch 19, batch 10800, loss[loss=0.3256, simple_loss=0.3898, pruned_loss=0.1307, over 14296.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04004, over 283.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3566, pruned_loss=0.1085, over 2778356.02 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07338, over 46729.53 utterances.], batch size: 283, lr: 2.45e-04
+2022-09-18 16:04:05,955 INFO [train.py:885] (1/2) Epoch 19, batch 10850, loss[loss=0.2946, simple_loss=0.3685, pruned_loss=0.1104, over 14300.00 frames. utt_duration=294.7 frames, utt_pad_proportion=0.03991, over 195.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3542, pruned_loss=0.1073, over 2777566.59 frames. utt_duration=244 frames, utt_pad_proportion=0.07366, over 45809.37 utterances.], batch size: 195, lr: 2.44e-04
+2022-09-18 16:04:35,109 INFO [train.py:885] (1/2) Epoch 19, batch 10900, loss[loss=0.2353, simple_loss=0.3063, pruned_loss=0.08216, over 14149.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04639, over 109.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3523, pruned_loss=0.1065, over 2777645.66 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07169, over 44474.59 utterances.], batch size: 109, lr: 2.44e-04
+2022-09-18 16:05:04,490 INFO [train.py:885] (1/2) Epoch 19, batch 10950, loss[loss=0.3434, simple_loss=0.3934, pruned_loss=0.1467, over 14338.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03672, over 195.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.353, pruned_loss=0.1068, over 2778440.16 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07276, over 45322.85 utterances.], batch size: 195, lr: 2.44e-04
+2022-09-18 16:05:34,468 INFO [train.py:885] (1/2) Epoch 19, batch 11000, loss[loss=0.1834, simple_loss=0.2433, pruned_loss=0.0617, over 13527.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08783, over 50.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3489, pruned_loss=0.1043, over 2777158.51 frames. utt_duration=252.2 frames, utt_pad_proportion=0.0726, over 44311.09 utterances.], batch size: 50, lr: 2.44e-04
+2022-09-18 16:06:04,273 INFO [train.py:885] (1/2) Epoch 19, batch 11050, loss[loss=0.2777, simple_loss=0.3626, pruned_loss=0.09639, over 14313.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03899, over 283.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3527, pruned_loss=0.1062, over 2776507.13 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07202, over 45650.13 utterances.], batch size: 283, lr: 2.44e-04
+2022-09-18 16:06:34,182 INFO [train.py:885] (1/2) Epoch 19, batch 11100, loss[loss=0.2164, simple_loss=0.3049, pruned_loss=0.06394, over 14258.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04477, over 141.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3537, pruned_loss=0.1066, over 2784830.63 frames. utt_duration=243.9 frames, utt_pad_proportion=0.0704, over 45958.42 utterances.], batch size: 141, lr: 2.44e-04
+2022-09-18 16:07:03,817 INFO [train.py:885] (1/2) Epoch 19, batch 11150, loss[loss=0.2186, simple_loss=0.292, pruned_loss=0.07254, over 13994.00 frames. utt_duration=710 frames, utt_pad_proportion=0.05962, over 79.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3508, pruned_loss=0.1054, over 2781107.52 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06975, over 44603.47 utterances.], batch size: 79, lr: 2.44e-04
+2022-09-18 16:07:33,479 INFO [train.py:885] (1/2) Epoch 19, batch 11200, loss[loss=0.3731, simple_loss=0.4247, pruned_loss=0.1608, over 14231.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04237, over 306.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3539, pruned_loss=0.1075, over 2779009.10 frames. utt_duration=245.7 frames, utt_pad_proportion=0.0709, over 45514.45 utterances.], batch size: 306, lr: 2.44e-04
+2022-09-18 16:08:02,197 INFO [train.py:885] (1/2) Epoch 19, batch 11250, loss[loss=0.2306, simple_loss=0.2984, pruned_loss=0.0814, over 13602.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08524, over 50.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3548, pruned_loss=0.1078, over 2778616.10 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07088, over 46190.06 utterances.], batch size: 50, lr: 2.44e-04
+2022-09-18 16:08:32,382 INFO [train.py:885] (1/2) Epoch 19, batch 11300, loss[loss=0.5656, simple_loss=0.6241, pruned_loss=0.2535, over 12500.00 frames. utt_duration=63.27 frames, utt_pad_proportion=0.1451, over 810.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3557, pruned_loss=0.1083, over 2776806.69 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07246, over 47025.99 utterances.], batch size: 810, lr: 2.44e-04
+2022-09-18 16:09:00,778 INFO [train.py:885] (1/2) Epoch 19, batch 11350, loss[loss=0.2247, simple_loss=0.3051, pruned_loss=0.07216, over 14297.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04023, over 120.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.352, pruned_loss=0.1058, over 2781528.85 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07016, over 45607.67 utterances.], batch size: 120, lr: 2.44e-04
+2022-09-18 16:09:30,862 INFO [train.py:885] (1/2) Epoch 19, batch 11400, loss[loss=0.2962, simple_loss=0.397, pruned_loss=0.09768, over 13641.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08081, over 477.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3551, pruned_loss=0.1072, over 2775591.45 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07401, over 47180.05 utterances.], batch size: 477, lr: 2.44e-04
+2022-09-18 16:10:00,655 INFO [train.py:885] (1/2) Epoch 19, batch 11450, loss[loss=0.3268, simple_loss=0.4099, pruned_loss=0.1219, over 13737.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07333, over 411.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3509, pruned_loss=0.1053, over 2777796.08 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07242, over 45512.05 utterances.], batch size: 411, lr: 2.44e-04
+2022-09-18 16:10:30,926 INFO [train.py:885] (1/2) Epoch 19, batch 11500, loss[loss=0.3152, simple_loss=0.4115, pruned_loss=0.1095, over 13588.00 frames. utt_duration=98.35 frames, utt_pad_proportion=0.08086, over 560.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3521, pruned_loss=0.1064, over 2778843.83 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07251, over 45804.09 utterances.], batch size: 560, lr: 2.44e-04
+2022-09-18 16:11:00,802 INFO [train.py:885] (1/2) Epoch 19, batch 11550, loss[loss=0.4176, simple_loss=0.4846, pruned_loss=0.1754, over 13597.00 frames. utt_duration=98.44 frames, utt_pad_proportion=0.08001, over 560.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.351, pruned_loss=0.1052, over 2780419.30 frames. utt_duration=244.8 frames, utt_pad_proportion=0.0724, over 45708.29 utterances.], batch size: 560, lr: 2.44e-04
+2022-09-18 16:11:30,166 INFO [train.py:885] (1/2) Epoch 19, batch 11600, loss[loss=0.2334, simple_loss=0.3173, pruned_loss=0.07476, over 14360.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.03821, over 155.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3545, pruned_loss=0.1066, over 2779371.40 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07408, over 47569.39 utterances.], batch size: 155, lr: 2.44e-04
+2022-09-18 16:12:00,255 INFO [train.py:885] (1/2) Epoch 19, batch 11650, loss[loss=0.305, simple_loss=0.4022, pruned_loss=0.1039, over 13739.00 frames. utt_duration=135.2 frames, utt_pad_proportion=0.07388, over 411.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3503, pruned_loss=0.1047, over 2779772.42 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07149, over 45517.77 utterances.], batch size: 411, lr: 2.44e-04
+2022-09-18 16:12:29,510 INFO [train.py:885] (1/2) Epoch 19, batch 11700, loss[loss=0.1745, simple_loss=0.2362, pruned_loss=0.05635, over 13826.00 frames. utt_duration=803 frames, utt_pad_proportion=0.06409, over 69.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3492, pruned_loss=0.1047, over 2783872.31 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06832, over 43973.68 utterances.], batch size: 69, lr: 2.44e-04
+2022-09-18 16:12:59,538 INFO [train.py:885] (1/2) Epoch 19, batch 11750, loss[loss=0.3636, simple_loss=0.4523, pruned_loss=0.1375, over 13605.00 frames. utt_duration=98.51 frames, utt_pad_proportion=0.07939, over 560.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.349, pruned_loss=0.1046, over 2784728.44 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06876, over 44362.49 utterances.], batch size: 560, lr: 2.44e-04
+2022-09-18 16:13:28,548 INFO [train.py:885] (1/2) Epoch 19, batch 11800, loss[loss=0.2583, simple_loss=0.3432, pruned_loss=0.08668, over 14246.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04226, over 225.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3485, pruned_loss=0.1038, over 2788021.74 frames. utt_duration=258.2 frames, utt_pad_proportion=0.06625, over 43444.09 utterances.], batch size: 225, lr: 2.44e-04
+2022-09-18 16:13:57,925 INFO [train.py:885] (1/2) Epoch 19, batch 11850, loss[loss=0.2194, simple_loss=0.2942, pruned_loss=0.07229, over 14294.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04013, over 120.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3482, pruned_loss=0.1044, over 2788689.74 frames. utt_duration=262.6 frames, utt_pad_proportion=0.065, over 42710.46 utterances.], batch size: 120, lr: 2.44e-04
+2022-09-18 16:14:27,311 INFO [train.py:885] (1/2) Epoch 19, batch 11900, loss[loss=0.3186, simple_loss=0.4108, pruned_loss=0.1131, over 13719.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07499, over 411.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3518, pruned_loss=0.1055, over 2786976.97 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06791, over 44785.87 utterances.], batch size: 411, lr: 2.44e-04
+2022-09-18 16:14:57,096 INFO [train.py:885] (1/2) Epoch 19, batch 11950, loss[loss=0.5139, simple_loss=0.5996, pruned_loss=0.2141, over 12440.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1478, over 810.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3526, pruned_loss=0.1056, over 2783537.81 frames. utt_duration=244 frames, utt_pad_proportion=0.07074, over 45903.51 utterances.], batch size: 810, lr: 2.44e-04
+2022-09-18 16:15:26,585 INFO [train.py:885] (1/2) Epoch 19, batch 12000, loss[loss=0.3444, simple_loss=0.4041, pruned_loss=0.1423, over 14311.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03938, over 262.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.353, pruned_loss=0.1056, over 2786849.42 frames. utt_duration=244.3 frames, utt_pad_proportion=0.06949, over 45897.17 utterances.], batch size: 262, lr: 2.44e-04
+2022-09-18 16:15:26,586 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 16:15:31,139 INFO [train.py:914] (1/2) Epoch 19, validation: loss=0.1956, simple_loss=0.2755, pruned_loss=0.05781, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 16:16:00,961 INFO [train.py:885] (1/2) Epoch 19, batch 12050, loss[loss=0.4779, simple_loss=0.5687, pruned_loss=0.1935, over 12468.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1477, over 811.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3517, pruned_loss=0.1037, over 2784065.00 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07101, over 46190.70 utterances.], batch size: 811, lr: 2.44e-04
+2022-09-18 16:16:31,204 INFO [train.py:885] (1/2) Epoch 19, batch 12100, loss[loss=0.2831, simple_loss=0.3545, pruned_loss=0.1059, over 14333.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03909, over 154.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3516, pruned_loss=0.1041, over 2788667.52 frames. utt_duration=241.8 frames, utt_pad_proportion=0.06848, over 46410.69 utterances.], batch size: 154, lr: 2.44e-04
+2022-09-18 16:17:00,887 INFO [train.py:885] (1/2) Epoch 19, batch 12150, loss[loss=0.2002, simple_loss=0.267, pruned_loss=0.06669, over 14255.00 frames. utt_duration=642.2 frames, utt_pad_proportion=0.04287, over 89.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3518, pruned_loss=0.1052, over 2788637.09 frames. utt_duration=248.7 frames, utt_pad_proportion=0.068, over 45111.56 utterances.], batch size: 89, lr: 2.44e-04
+2022-09-18 16:17:30,426 INFO [train.py:885] (1/2) Epoch 19, batch 12200, loss[loss=0.2765, simple_loss=0.3378, pruned_loss=0.1075, over 14175.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04456, over 109.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3528, pruned_loss=0.1062, over 2791984.58 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06745, over 44876.07 utterances.], batch size: 109, lr: 2.44e-04
+2022-09-18 16:18:00,095 INFO [train.py:885] (1/2) Epoch 19, batch 12250, loss[loss=0.267, simple_loss=0.3745, pruned_loss=0.07977, over 13756.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07273, over 411.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3524, pruned_loss=0.1067, over 2791404.92 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06629, over 44308.72 utterances.], batch size: 411, lr: 2.44e-04
+2022-09-18 16:18:30,193 INFO [train.py:885] (1/2) Epoch 19, batch 12300, loss[loss=0.1988, simple_loss=0.2586, pruned_loss=0.06955, over 13885.00 frames. utt_duration=806.3 frames, utt_pad_proportion=0.06025, over 69.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3567, pruned_loss=0.1089, over 2784236.03 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07158, over 47045.74 utterances.], batch size: 69, lr: 2.44e-04
+2022-09-18 16:18:59,951 INFO [train.py:885] (1/2) Epoch 19, batch 12350, loss[loss=0.2794, simple_loss=0.3543, pruned_loss=0.1022, over 14286.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.03985, over 154.00 utterances.], tot_loss[loss=0.2875, simple_loss=0.3569, pruned_loss=0.109, over 2784594.38 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07169, over 47178.93 utterances.], batch size: 154, lr: 2.44e-04
+2022-09-18 16:19:29,163 INFO [train.py:885] (1/2) Epoch 19, batch 12400, loss[loss=0.3152, simple_loss=0.4136, pruned_loss=0.1084, over 13635.00 frames. utt_duration=98.84 frames, utt_pad_proportion=0.07625, over 560.00 utterances.], tot_loss[loss=0.2905, simple_loss=0.3594, pruned_loss=0.1109, over 2786242.93 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07126, over 47241.68 utterances.], batch size: 560, lr: 2.44e-04
+2022-09-18 16:19:58,958 INFO [train.py:885] (1/2) Epoch 19, batch 12450, loss[loss=0.3394, simple_loss=0.399, pruned_loss=0.1399, over 14225.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04386, over 335.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3552, pruned_loss=0.1087, over 2786374.57 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06885, over 45517.21 utterances.], batch size: 335, lr: 2.44e-04
+2022-09-18 16:20:28,516 INFO [train.py:885] (1/2) Epoch 19, batch 12500, loss[loss=0.1975, simple_loss=0.2833, pruned_loss=0.05582, over 14146.00 frames. utt_duration=637.5 frames, utt_pad_proportion=0.0499, over 89.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3557, pruned_loss=0.1083, over 2779206.16 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07214, over 46304.22 utterances.], batch size: 89, lr: 2.44e-04
+2022-09-18 16:20:57,819 INFO [train.py:885] (1/2) Epoch 19, batch 12550, loss[loss=0.3403, simple_loss=0.4127, pruned_loss=0.134, over 14015.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05734, over 366.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3581, pruned_loss=0.1097, over 2783236.97 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07137, over 47241.57 utterances.], batch size: 366, lr: 2.44e-04
+2022-09-18 16:21:25,626 INFO [train.py:885] (1/2) Epoch 19, batch 12600, loss[loss=0.3398, simple_loss=0.4053, pruned_loss=0.1372, over 14248.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04193, over 306.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3538, pruned_loss=0.1075, over 2782975.02 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07124, over 45467.40 utterances.], batch size: 306, lr: 2.44e-04
+2022-09-18 16:21:45,506 INFO [train.py:885] (1/2) Epoch 20, batch 0, loss[loss=0.3605, simple_loss=0.4654, pruned_loss=0.1278, over 13087.00 frames. utt_duration=81.75 frames, utt_pad_proportion=0.1114, over 653.00 utterances.], tot_loss[loss=0.3605, simple_loss=0.4654, pruned_loss=0.1278, over 13087.00 frames. utt_duration=81.75 frames, utt_pad_proportion=0.1114, over 653.00 utterances.], batch size: 653, lr: 2.38e-04
+2022-09-18 16:22:16,725 INFO [train.py:885] (1/2) Epoch 20, batch 50, loss[loss=0.1969, simple_loss=0.2637, pruned_loss=0.06503, over 13749.00 frames. utt_duration=917.9 frames, utt_pad_proportion=0.07475, over 60.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3447, pruned_loss=0.1013, over 628569.38 frames. utt_duration=267.1 frames, utt_pad_proportion=0.06976, over 9466.22 utterances.], batch size: 60, lr: 2.38e-04
+2022-09-18 16:22:46,112 INFO [train.py:885] (1/2) Epoch 20, batch 100, loss[loss=0.5181, simple_loss=0.5774, pruned_loss=0.2294, over 13186.00 frames. utt_duration=82.35 frames, utt_pad_proportion=0.1049, over 653.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3509, pruned_loss=0.1047, over 1105754.62 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06878, over 17701.43 utterances.], batch size: 653, lr: 2.38e-04
+2022-09-18 16:23:15,697 INFO [train.py:885] (1/2) Epoch 20, batch 150, loss[loss=0.2242, simple_loss=0.2823, pruned_loss=0.08301, over 14129.00 frames. utt_duration=716.6 frames, utt_pad_proportion=0.05209, over 79.00 utterances.], tot_loss[loss=0.2906, simple_loss=0.3607, pruned_loss=0.1103, over 1477527.44 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07213, over 25699.93 utterances.], batch size: 79, lr: 2.38e-04
+2022-09-18 16:23:45,501 INFO [train.py:885] (1/2) Epoch 20, batch 200, loss[loss=0.257, simple_loss=0.3176, pruned_loss=0.09817, over 14119.00 frames. utt_duration=577.8 frames, utt_pad_proportion=0.05281, over 98.00 utterances.], tot_loss[loss=0.2924, simple_loss=0.3617, pruned_loss=0.1116, over 1769978.81 frames. utt_duration=234 frames, utt_pad_proportion=0.07037, over 30441.92 utterances.], batch size: 98, lr: 2.38e-04
+2022-09-18 16:24:16,075 INFO [train.py:885] (1/2) Epoch 20, batch 250, loss[loss=0.2925, simple_loss=0.3693, pruned_loss=0.1078, over 14372.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03229, over 244.00 utterances.], tot_loss[loss=0.2917, simple_loss=0.361, pruned_loss=0.1112, over 1996372.95 frames. utt_duration=235.6 frames, utt_pad_proportion=0.06954, over 34102.86 utterances.], batch size: 244, lr: 2.38e-04
+2022-09-18 16:24:46,505 INFO [train.py:885] (1/2) Epoch 20, batch 300, loss[loss=0.2399, simple_loss=0.3068, pruned_loss=0.08652, over 14167.00 frames. utt_duration=638.2 frames, utt_pad_proportion=0.04886, over 89.00 utterances.], tot_loss[loss=0.2892, simple_loss=0.3589, pruned_loss=0.1097, over 2170736.80 frames. utt_duration=235.1 frames, utt_pad_proportion=0.06937, over 37162.96 utterances.], batch size: 89, lr: 2.38e-04
+2022-09-18 16:25:15,715 INFO [train.py:885] (1/2) Epoch 20, batch 350, loss[loss=0.175, simple_loss=0.2307, pruned_loss=0.05961, over 13827.00 frames. utt_duration=923.1 frames, utt_pad_proportion=0.06947, over 60.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3559, pruned_loss=0.109, over 2302208.58 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07173, over 38913.25 utterances.], batch size: 60, lr: 2.38e-04
+2022-09-18 16:25:45,495 INFO [train.py:885] (1/2) Epoch 20, batch 400, loss[loss=0.2024, simple_loss=0.2632, pruned_loss=0.07081, over 13564.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08614, over 50.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3556, pruned_loss=0.1079, over 2411174.01 frames. utt_duration=237 frames, utt_pad_proportion=0.07068, over 40946.44 utterances.], batch size: 50, lr: 2.38e-04
+2022-09-18 16:26:14,330 INFO [train.py:885] (1/2) Epoch 20, batch 450, loss[loss=0.3184, simple_loss=0.4203, pruned_loss=0.1083, over 13572.00 frames. utt_duration=98.31 frames, utt_pad_proportion=0.08121, over 560.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3551, pruned_loss=0.1077, over 2498666.89 frames. utt_duration=246.5 frames, utt_pad_proportion=0.06737, over 40794.96 utterances.], batch size: 560, lr: 2.37e-04
+2022-09-18 16:26:44,051 INFO [train.py:885] (1/2) Epoch 20, batch 500, loss[loss=0.2292, simple_loss=0.2963, pruned_loss=0.08107, over 14176.00 frames. utt_duration=521.5 frames, utt_pad_proportion=0.04311, over 109.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3511, pruned_loss=0.1052, over 2563237.49 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06642, over 40271.88 utterances.], batch size: 109, lr: 2.37e-04
+2022-09-18 16:27:13,724 INFO [train.py:885] (1/2) Epoch 20, batch 550, loss[loss=0.2016, simple_loss=0.2498, pruned_loss=0.07675, over 13158.00 frames. utt_duration=1597 frames, utt_pad_proportion=0.1175, over 33.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3531, pruned_loss=0.106, over 2613697.97 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06674, over 41868.35 utterances.], batch size: 33, lr: 2.37e-04
+2022-09-18 16:27:43,721 INFO [train.py:885] (1/2) Epoch 20, batch 600, loss[loss=0.278, simple_loss=0.3265, pruned_loss=0.1147, over 12346.00 frames. utt_duration=2059 frames, utt_pad_proportion=0.1626, over 24.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3559, pruned_loss=0.1076, over 2645872.56 frames. utt_duration=242.2 frames, utt_pad_proportion=0.06838, over 43960.37 utterances.], batch size: 24, lr: 2.37e-04
+2022-09-18 16:28:13,729 INFO [train.py:885] (1/2) Epoch 20, batch 650, loss[loss=0.2547, simple_loss=0.3177, pruned_loss=0.09583, over 14291.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.03878, over 130.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3566, pruned_loss=0.1085, over 2674819.97 frames. utt_duration=242.2 frames, utt_pad_proportion=0.06969, over 44447.73 utterances.], batch size: 130, lr: 2.37e-04
+2022-09-18 16:28:43,223 INFO [train.py:885] (1/2) Epoch 20, batch 700, loss[loss=0.1649, simple_loss=0.2055, pruned_loss=0.06212, over 12390.00 frames. utt_duration=2067 frames, utt_pad_proportion=0.1686, over 24.00 utterances.], tot_loss[loss=0.2869, simple_loss=0.3562, pruned_loss=0.1088, over 2697734.25 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07033, over 44780.41 utterances.], batch size: 24, lr: 2.37e-04
+2022-09-18 16:29:13,637 INFO [train.py:885] (1/2) Epoch 20, batch 750, loss[loss=0.1702, simple_loss=0.2452, pruned_loss=0.04762, over 12189.00 frames. utt_duration=2033 frames, utt_pad_proportion=0.16, over 24.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3558, pruned_loss=0.1082, over 2712563.92 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0721, over 45599.13 utterances.], batch size: 24, lr: 2.37e-04
+2022-09-18 16:29:42,844 INFO [train.py:885] (1/2) Epoch 20, batch 800, loss[loss=0.6257, simple_loss=0.6638, pruned_loss=0.2938, over 12491.00 frames. utt_duration=63.25 frames, utt_pad_proportion=0.1453, over 810.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3575, pruned_loss=0.1093, over 2724183.35 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07433, over 47156.38 utterances.], batch size: 810, lr: 2.37e-04
+2022-09-18 16:30:12,268 INFO [train.py:885] (1/2) Epoch 20, batch 850, loss[loss=0.3238, simple_loss=0.3851, pruned_loss=0.1312, over 14354.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03548, over 195.00 utterances.], tot_loss[loss=0.2884, simple_loss=0.3575, pruned_loss=0.1096, over 2738592.92 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07236, over 46685.61 utterances.], batch size: 195, lr: 2.37e-04
+2022-09-18 16:30:41,872 INFO [train.py:885] (1/2) Epoch 20, batch 900, loss[loss=0.2542, simple_loss=0.3296, pruned_loss=0.08943, over 14355.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.03798, over 154.00 utterances.], tot_loss[loss=0.2921, simple_loss=0.3606, pruned_loss=0.1118, over 2749288.23 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07242, over 47113.54 utterances.], batch size: 154, lr: 2.37e-04
+2022-09-18 16:31:11,162 INFO [train.py:885] (1/2) Epoch 20, batch 950, loss[loss=0.3573, simple_loss=0.4101, pruned_loss=0.1522, over 14321.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03814, over 283.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3559, pruned_loss=0.1085, over 2754628.39 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07274, over 46424.66 utterances.], batch size: 283, lr: 2.37e-04
+2022-09-18 16:31:41,003 INFO [train.py:885] (1/2) Epoch 20, batch 1000, loss[loss=0.2512, simple_loss=0.3294, pruned_loss=0.08654, over 14306.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03817, over 154.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3553, pruned_loss=0.1078, over 2762317.92 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07187, over 45995.58 utterances.], batch size: 154, lr: 2.37e-04
+2022-09-18 16:32:09,802 INFO [train.py:885] (1/2) Epoch 20, batch 1050, loss[loss=0.2625, simple_loss=0.3389, pruned_loss=0.09311, over 14321.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.0408, over 167.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.354, pruned_loss=0.1078, over 2765554.53 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07144, over 44978.89 utterances.], batch size: 167, lr: 2.37e-04
+2022-09-18 16:32:39,873 INFO [train.py:885] (1/2) Epoch 20, batch 1100, loss[loss=0.2422, simple_loss=0.3144, pruned_loss=0.08499, over 14341.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.03753, over 130.00 utterances.], tot_loss[loss=0.2887, simple_loss=0.3585, pruned_loss=0.1094, over 2768373.69 frames. utt_duration=236.5 frames, utt_pad_proportion=0.0717, over 47116.26 utterances.], batch size: 130, lr: 2.37e-04
+2022-09-18 16:33:09,130 INFO [train.py:885] (1/2) Epoch 20, batch 1150, loss[loss=0.1971, simple_loss=0.2453, pruned_loss=0.07452, over 13052.00 frames. utt_duration=2090 frames, utt_pad_proportion=0.1289, over 25.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3563, pruned_loss=0.1082, over 2770051.01 frames. utt_duration=241.5 frames, utt_pad_proportion=0.0704, over 46168.76 utterances.], batch size: 25, lr: 2.37e-04
+2022-09-18 16:33:38,121 INFO [train.py:885] (1/2) Epoch 20, batch 1200, loss[loss=0.2795, simple_loss=0.353, pruned_loss=0.103, over 14307.00 frames. utt_duration=344 frames, utt_pad_proportion=0.04175, over 167.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.3567, pruned_loss=0.1081, over 2777747.83 frames. utt_duration=240.1 frames, utt_pad_proportion=0.06898, over 46571.38 utterances.], batch size: 167, lr: 2.37e-04
+2022-09-18 16:34:07,676 INFO [train.py:885] (1/2) Epoch 20, batch 1250, loss[loss=0.3904, simple_loss=0.4258, pruned_loss=0.1775, over 14228.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04333, over 335.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3568, pruned_loss=0.1084, over 2779946.96 frames. utt_duration=239.9 frames, utt_pad_proportion=0.06856, over 46640.35 utterances.], batch size: 335, lr: 2.37e-04
+2022-09-18 16:34:37,584 INFO [train.py:885] (1/2) Epoch 20, batch 1300, loss[loss=0.212, simple_loss=0.2793, pruned_loss=0.07232, over 13767.00 frames. utt_duration=1313 frames, utt_pad_proportion=0.07815, over 42.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3562, pruned_loss=0.1074, over 2778468.00 frames. utt_duration=238.7 frames, utt_pad_proportion=0.06985, over 46843.81 utterances.], batch size: 42, lr: 2.37e-04
+2022-09-18 16:35:15,052 INFO [train.py:885] (1/2) Epoch 20, batch 1350, loss[loss=0.2776, simple_loss=0.3514, pruned_loss=0.1019, over 14325.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.0385, over 262.00 utterances.], tot_loss[loss=0.2901, simple_loss=0.3605, pruned_loss=0.1098, over 2781988.88 frames. utt_duration=229.1 frames, utt_pad_proportion=0.07108, over 48880.12 utterances.], batch size: 262, lr: 2.37e-04
+2022-09-18 16:35:44,297 INFO [train.py:885] (1/2) Epoch 20, batch 1400, loss[loss=0.3656, simple_loss=0.4506, pruned_loss=0.1403, over 13613.00 frames. utt_duration=98.63 frames, utt_pad_proportion=0.07825, over 560.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3554, pruned_loss=0.1079, over 2778523.65 frames. utt_duration=240 frames, utt_pad_proportion=0.07005, over 46589.38 utterances.], batch size: 560, lr: 2.37e-04
+2022-09-18 16:36:14,165 INFO [train.py:885] (1/2) Epoch 20, batch 1450, loss[loss=0.2336, simple_loss=0.2987, pruned_loss=0.08422, over 14119.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.05104, over 98.00 utterances.], tot_loss[loss=0.2867, simple_loss=0.3563, pruned_loss=0.1085, over 2779169.13 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07223, over 47314.21 utterances.], batch size: 98, lr: 2.37e-04
+2022-09-18 16:36:43,080 INFO [train.py:885] (1/2) Epoch 20, batch 1500, loss[loss=0.2336, simple_loss=0.3034, pruned_loss=0.08191, over 14162.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.04533, over 109.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3536, pruned_loss=0.1068, over 2776647.47 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07273, over 46404.93 utterances.], batch size: 109, lr: 2.37e-04
+2022-09-18 16:37:17,330 INFO [train.py:885] (1/2) Epoch 20, batch 1550, loss[loss=0.2912, simple_loss=0.3606, pruned_loss=0.1109, over 14384.00 frames. utt_duration=345.9 frames, utt_pad_proportion=0.03641, over 167.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3539, pruned_loss=0.1071, over 2781010.54 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07129, over 45786.02 utterances.], batch size: 167, lr: 2.37e-04
+2022-09-18 16:37:49,780 INFO [train.py:885] (1/2) Epoch 20, batch 1600, loss[loss=0.1671, simple_loss=0.2418, pruned_loss=0.04622, over 13988.00 frames. utt_duration=934 frames, utt_pad_proportion=0.06222, over 60.00 utterances.], tot_loss[loss=0.286, simple_loss=0.3554, pruned_loss=0.1083, over 2783395.17 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07084, over 46131.81 utterances.], batch size: 60, lr: 2.37e-04
+2022-09-18 16:38:18,941 INFO [train.py:885] (1/2) Epoch 20, batch 1650, loss[loss=0.3011, simple_loss=0.37, pruned_loss=0.1161, over 14321.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03737, over 180.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3524, pruned_loss=0.1072, over 2784247.81 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06917, over 44784.37 utterances.], batch size: 180, lr: 2.37e-04
+2022-09-18 16:38:49,229 INFO [train.py:885] (1/2) Epoch 20, batch 1700, loss[loss=0.3815, simple_loss=0.4831, pruned_loss=0.14, over 13110.00 frames. utt_duration=81.82 frames, utt_pad_proportion=0.1106, over 653.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3532, pruned_loss=0.107, over 2787258.75 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06914, over 46006.38 utterances.], batch size: 653, lr: 2.37e-04
+2022-09-18 16:39:18,477 INFO [train.py:885] (1/2) Epoch 20, batch 1750, loss[loss=0.3492, simple_loss=0.4026, pruned_loss=0.1479, over 14342.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03458, over 244.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3548, pruned_loss=0.1078, over 2788728.74 frames. utt_duration=241.8 frames, utt_pad_proportion=0.06943, over 46414.81 utterances.], batch size: 244, lr: 2.37e-04
+2022-09-18 16:39:48,286 INFO [train.py:885] (1/2) Epoch 20, batch 1800, loss[loss=0.2116, simple_loss=0.2717, pruned_loss=0.07573, over 13865.00 frames. utt_duration=925.5 frames, utt_pad_proportion=0.06133, over 60.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3522, pruned_loss=0.1068, over 2782545.48 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07019, over 45306.97 utterances.], batch size: 60, lr: 2.37e-04
+2022-09-18 16:40:17,683 INFO [train.py:885] (1/2) Epoch 20, batch 1850, loss[loss=0.1975, simple_loss=0.2675, pruned_loss=0.06377, over 13599.00 frames. utt_duration=1328 frames, utt_pad_proportion=0.07252, over 41.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3505, pruned_loss=0.1058, over 2780855.88 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07098, over 45170.21 utterances.], batch size: 41, lr: 2.37e-04
+2022-09-18 16:40:47,672 INFO [train.py:885] (1/2) Epoch 20, batch 1900, loss[loss=0.2823, simple_loss=0.353, pruned_loss=0.1058, over 14339.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03684, over 210.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3503, pruned_loss=0.1057, over 2781181.33 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06993, over 44750.20 utterances.], batch size: 210, lr: 2.37e-04
+2022-09-18 16:41:16,837 INFO [train.py:885] (1/2) Epoch 20, batch 1950, loss[loss=0.297, simple_loss=0.358, pruned_loss=0.118, over 14324.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03487, over 154.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3451, pruned_loss=0.1031, over 2782970.63 frames. utt_duration=262.3 frames, utt_pad_proportion=0.06891, over 42672.33 utterances.], batch size: 154, lr: 2.37e-04
+2022-09-18 16:41:46,381 INFO [train.py:885] (1/2) Epoch 20, batch 2000, loss[loss=0.2777, simple_loss=0.3517, pruned_loss=0.1019, over 14327.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.0402, over 167.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.344, pruned_loss=0.1028, over 2783819.70 frames. utt_duration=265.9 frames, utt_pad_proportion=0.06813, over 42110.34 utterances.], batch size: 167, lr: 2.37e-04
+2022-09-18 16:42:16,769 INFO [train.py:885] (1/2) Epoch 20, batch 2050, loss[loss=0.2483, simple_loss=0.3278, pruned_loss=0.08441, over 14357.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03846, over 167.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3429, pruned_loss=0.1025, over 2785761.01 frames. utt_duration=277.2 frames, utt_pad_proportion=0.06513, over 40412.38 utterances.], batch size: 167, lr: 2.37e-04
+2022-09-18 16:42:46,050 INFO [train.py:885] (1/2) Epoch 20, batch 2100, loss[loss=0.3053, simple_loss=0.3783, pruned_loss=0.1161, over 14314.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03925, over 283.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3474, pruned_loss=0.1044, over 2788568.57 frames. utt_duration=267.2 frames, utt_pad_proportion=0.0652, over 41982.32 utterances.], batch size: 283, lr: 2.37e-04
+2022-09-18 16:43:15,842 INFO [train.py:885] (1/2) Epoch 20, batch 2150, loss[loss=0.2666, simple_loss=0.34, pruned_loss=0.0966, over 14220.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.04808, over 141.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3442, pruned_loss=0.1031, over 2782923.75 frames. utt_duration=273.1 frames, utt_pad_proportion=0.06485, over 40974.89 utterances.], batch size: 141, lr: 2.37e-04
+2022-09-18 16:43:45,287 INFO [train.py:885] (1/2) Epoch 20, batch 2200, loss[loss=0.3194, simple_loss=0.386, pruned_loss=0.1264, over 14344.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.03698, over 226.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3442, pruned_loss=0.1036, over 2786510.40 frames. utt_duration=278.1 frames, utt_pad_proportion=0.0631, over 40289.13 utterances.], batch size: 226, lr: 2.37e-04
+2022-09-18 16:44:14,609 INFO [train.py:885] (1/2) Epoch 20, batch 2250, loss[loss=0.3682, simple_loss=0.4644, pruned_loss=0.136, over 13151.00 frames. utt_duration=82.14 frames, utt_pad_proportion=0.1072, over 653.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3464, pruned_loss=0.1044, over 2785120.90 frames. utt_duration=267.2 frames, utt_pad_proportion=0.06485, over 41921.65 utterances.], batch size: 653, lr: 2.37e-04
+2022-09-18 16:44:44,594 INFO [train.py:885] (1/2) Epoch 20, batch 2300, loss[loss=0.223, simple_loss=0.2986, pruned_loss=0.07367, over 14294.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.03885, over 130.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3478, pruned_loss=0.1052, over 2786541.59 frames. utt_duration=263.7 frames, utt_pad_proportion=0.06638, over 42502.39 utterances.], batch size: 130, lr: 2.37e-04
+2022-09-18 16:45:13,823 INFO [train.py:885] (1/2) Epoch 20, batch 2350, loss[loss=0.3485, simple_loss=0.4497, pruned_loss=0.1237, over 13148.00 frames. utt_duration=82.05 frames, utt_pad_proportion=0.1082, over 653.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3432, pruned_loss=0.1024, over 2783586.03 frames. utt_duration=271.2 frames, utt_pad_proportion=0.06552, over 41282.22 utterances.], batch size: 653, lr: 2.37e-04
+2022-09-18 16:45:43,681 INFO [train.py:885] (1/2) Epoch 20, batch 2400, loss[loss=0.2623, simple_loss=0.3407, pruned_loss=0.09194, over 14320.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03717, over 154.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3479, pruned_loss=0.1042, over 2784223.80 frames. utt_duration=260.4 frames, utt_pad_proportion=0.06628, over 43005.41 utterances.], batch size: 154, lr: 2.37e-04
+2022-09-18 16:46:12,913 INFO [train.py:885] (1/2) Epoch 20, batch 2450, loss[loss=0.4508, simple_loss=0.52, pruned_loss=0.1908, over 13187.00 frames. utt_duration=82.28 frames, utt_pad_proportion=0.1056, over 653.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3498, pruned_loss=0.1047, over 2782563.17 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06778, over 44089.72 utterances.], batch size: 653, lr: 2.36e-04
+2022-09-18 16:46:42,646 INFO [train.py:885] (1/2) Epoch 20, batch 2500, loss[loss=0.2717, simple_loss=0.3618, pruned_loss=0.09086, over 14334.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03789, over 283.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3511, pruned_loss=0.1055, over 2784017.56 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06752, over 44504.99 utterances.], batch size: 283, lr: 2.36e-04
+2022-09-18 16:47:12,084 INFO [train.py:885] (1/2) Epoch 20, batch 2550, loss[loss=0.2644, simple_loss=0.3523, pruned_loss=0.08828, over 14384.00 frames. utt_duration=255.9 frames, utt_pad_proportion=0.03433, over 226.00 utterances.], tot_loss[loss=0.28, simple_loss=0.35, pruned_loss=0.105, over 2776685.55 frames. utt_duration=252 frames, utt_pad_proportion=0.07012, over 44327.71 utterances.], batch size: 226, lr: 2.36e-04
+2022-09-18 16:47:41,934 INFO [train.py:885] (1/2) Epoch 20, batch 2600, loss[loss=0.4039, simple_loss=0.47, pruned_loss=0.1689, over 13620.00 frames. utt_duration=98.68 frames, utt_pad_proportion=0.07775, over 560.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3524, pruned_loss=0.1054, over 2779571.12 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07011, over 45757.41 utterances.], batch size: 560, lr: 2.36e-04
+2022-09-18 16:48:10,768 INFO [train.py:885] (1/2) Epoch 20, batch 2650, loss[loss=0.2695, simple_loss=0.3329, pruned_loss=0.1031, over 14234.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04399, over 141.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3498, pruned_loss=0.104, over 2784936.96 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06697, over 44517.94 utterances.], batch size: 141, lr: 2.36e-04
+2022-09-18 16:48:41,682 INFO [train.py:885] (1/2) Epoch 20, batch 2700, loss[loss=0.2929, simple_loss=0.3538, pruned_loss=0.116, over 14274.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04027, over 130.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3521, pruned_loss=0.1054, over 2782551.60 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07088, over 45721.89 utterances.], batch size: 130, lr: 2.36e-04
+2022-09-18 16:49:11,389 INFO [train.py:885] (1/2) Epoch 20, batch 2750, loss[loss=0.2524, simple_loss=0.3206, pruned_loss=0.09208, over 14190.00 frames. utt_duration=639.2 frames, utt_pad_proportion=0.04742, over 89.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3504, pruned_loss=0.1053, over 2784175.79 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07, over 44559.00 utterances.], batch size: 89, lr: 2.36e-04
+2022-09-18 16:49:40,147 INFO [train.py:885] (1/2) Epoch 20, batch 2800, loss[loss=0.1693, simple_loss=0.2327, pruned_loss=0.05291, over 13191.00 frames. utt_duration=1600 frames, utt_pad_proportion=0.1139, over 33.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3471, pruned_loss=0.1033, over 2782205.75 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06973, over 43662.30 utterances.], batch size: 33, lr: 2.36e-04
+2022-09-18 16:50:09,507 INFO [train.py:885] (1/2) Epoch 20, batch 2850, loss[loss=0.1689, simple_loss=0.2268, pruned_loss=0.05549, over 13013.00 frames. utt_duration=1579 frames, utt_pad_proportion=0.1191, over 33.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3455, pruned_loss=0.1024, over 2786973.03 frames. utt_duration=263.8 frames, utt_pad_proportion=0.06772, over 42493.54 utterances.], batch size: 33, lr: 2.36e-04
+2022-09-18 16:50:39,409 INFO [train.py:885] (1/2) Epoch 20, batch 2900, loss[loss=0.1417, simple_loss=0.1798, pruned_loss=0.05176, over 12317.00 frames. utt_duration=2054 frames, utt_pad_proportion=0.1623, over 24.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3464, pruned_loss=0.104, over 2782562.78 frames. utt_duration=261.6 frames, utt_pad_proportion=0.07065, over 42792.36 utterances.], batch size: 24, lr: 2.36e-04
+2022-09-18 16:51:08,847 INFO [train.py:885] (1/2) Epoch 20, batch 2950, loss[loss=0.2929, simple_loss=0.3659, pruned_loss=0.1099, over 14340.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03661, over 210.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3467, pruned_loss=0.1044, over 2784699.12 frames. utt_duration=262.3 frames, utt_pad_proportion=0.06949, over 42706.13 utterances.], batch size: 210, lr: 2.36e-04
+2022-09-18 16:51:38,194 INFO [train.py:885] (1/2) Epoch 20, batch 3000, loss[loss=0.3729, simple_loss=0.4196, pruned_loss=0.1631, over 14269.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04097, over 335.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3525, pruned_loss=0.107, over 2780086.82 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07275, over 46289.09 utterances.], batch size: 335, lr: 2.36e-04
+2022-09-18 16:51:38,194 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 16:51:42,946 INFO [train.py:914] (1/2) Epoch 20, validation: loss=0.1912, simple_loss=0.2716, pruned_loss=0.05539, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 16:52:12,495 INFO [train.py:885] (1/2) Epoch 20, batch 3050, loss[loss=0.2064, simple_loss=0.2804, pruned_loss=0.06617, over 13800.00 frames. utt_duration=921.4 frames, utt_pad_proportion=0.07397, over 60.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3525, pruned_loss=0.1078, over 2785035.98 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07103, over 45049.75 utterances.], batch size: 60, lr: 2.36e-04
+2022-09-18 16:52:42,427 INFO [train.py:885] (1/2) Epoch 20, batch 3100, loss[loss=0.3813, simple_loss=0.456, pruned_loss=0.1533, over 13634.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08023, over 477.00 utterances.], tot_loss[loss=0.2873, simple_loss=0.3562, pruned_loss=0.1092, over 2783600.90 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07143, over 47350.71 utterances.], batch size: 477, lr: 2.36e-04
+2022-09-18 16:53:11,342 INFO [train.py:885] (1/2) Epoch 20, batch 3150, loss[loss=0.2641, simple_loss=0.3331, pruned_loss=0.09759, over 14237.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04622, over 141.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3496, pruned_loss=0.1059, over 2784494.63 frames. utt_duration=251.3 frames, utt_pad_proportion=0.0708, over 44585.69 utterances.], batch size: 141, lr: 2.36e-04
+2022-09-18 16:53:41,381 INFO [train.py:885] (1/2) Epoch 20, batch 3200, loss[loss=0.2287, simple_loss=0.287, pruned_loss=0.08517, over 13804.00 frames. utt_duration=921.5 frames, utt_pad_proportion=0.07105, over 60.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3512, pruned_loss=0.1065, over 2786546.56 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07185, over 45005.37 utterances.], batch size: 60, lr: 2.36e-04
+2022-09-18 16:54:11,172 INFO [train.py:885] (1/2) Epoch 20, batch 3250, loss[loss=0.3016, simple_loss=0.3739, pruned_loss=0.1146, over 14310.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03894, over 283.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.35, pruned_loss=0.1056, over 2786384.13 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07044, over 44733.14 utterances.], batch size: 283, lr: 2.36e-04
+2022-09-18 16:54:41,132 INFO [train.py:885] (1/2) Epoch 20, batch 3300, loss[loss=0.3387, simple_loss=0.3973, pruned_loss=0.1401, over 14357.00 frames. utt_duration=204.4 frames, utt_pad_proportion=0.03595, over 283.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3528, pruned_loss=0.1065, over 2783970.45 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07367, over 46355.84 utterances.], batch size: 283, lr: 2.36e-04
+2022-09-18 16:55:10,672 INFO [train.py:885] (1/2) Epoch 20, batch 3350, loss[loss=0.3437, simple_loss=0.4029, pruned_loss=0.1423, over 14249.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04257, over 335.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.353, pruned_loss=0.1062, over 2779209.00 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07386, over 46781.87 utterances.], batch size: 335, lr: 2.36e-04
+2022-09-18 16:55:40,001 INFO [train.py:885] (1/2) Epoch 20, batch 3400, loss[loss=0.3066, simple_loss=0.3743, pruned_loss=0.1195, over 14318.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03925, over 262.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3515, pruned_loss=0.1059, over 2780366.26 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07286, over 45814.13 utterances.], batch size: 262, lr: 2.36e-04
+2022-09-18 16:56:09,402 INFO [train.py:885] (1/2) Epoch 20, batch 3450, loss[loss=0.3096, simple_loss=0.4126, pruned_loss=0.1033, over 13651.00 frames. utt_duration=98.98 frames, utt_pad_proportion=0.07498, over 560.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3496, pruned_loss=0.105, over 2777532.63 frames. utt_duration=247 frames, utt_pad_proportion=0.07358, over 45258.48 utterances.], batch size: 560, lr: 2.36e-04
+2022-09-18 16:56:39,006 INFO [train.py:885] (1/2) Epoch 20, batch 3500, loss[loss=0.2593, simple_loss=0.3367, pruned_loss=0.09098, over 14309.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03816, over 154.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3518, pruned_loss=0.1065, over 2775383.31 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07421, over 45452.78 utterances.], batch size: 154, lr: 2.36e-04
+2022-09-18 16:57:08,006 INFO [train.py:885] (1/2) Epoch 20, batch 3550, loss[loss=0.2423, simple_loss=0.311, pruned_loss=0.08681, over 14093.00 frames. utt_duration=518.8 frames, utt_pad_proportion=0.04974, over 109.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3509, pruned_loss=0.1061, over 2771525.54 frames. utt_duration=243.9 frames, utt_pad_proportion=0.0739, over 45732.15 utterances.], batch size: 109, lr: 2.36e-04
+2022-09-18 16:57:37,985 INFO [train.py:885] (1/2) Epoch 20, batch 3600, loss[loss=0.3412, simple_loss=0.4315, pruned_loss=0.1255, over 13653.00 frames. utt_duration=98.89 frames, utt_pad_proportion=0.0758, over 560.00 utterances.], tot_loss[loss=0.2854, simple_loss=0.3547, pruned_loss=0.1081, over 2776647.92 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07289, over 47093.58 utterances.], batch size: 560, lr: 2.36e-04
+2022-09-18 16:58:07,612 INFO [train.py:885] (1/2) Epoch 20, batch 3650, loss[loss=0.2854, simple_loss=0.3619, pruned_loss=0.1045, over 14243.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04241, over 225.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.353, pruned_loss=0.1069, over 2776844.01 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07262, over 46540.74 utterances.], batch size: 225, lr: 2.36e-04
+2022-09-18 16:58:37,210 INFO [train.py:885] (1/2) Epoch 20, batch 3700, loss[loss=0.2318, simple_loss=0.3135, pruned_loss=0.07509, over 14285.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.0429, over 141.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3548, pruned_loss=0.1078, over 2780098.73 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07147, over 46938.22 utterances.], batch size: 141, lr: 2.36e-04
+2022-09-18 16:59:06,614 INFO [train.py:885] (1/2) Epoch 20, batch 3750, loss[loss=0.2293, simple_loss=0.3247, pruned_loss=0.06699, over 14332.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03965, over 167.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3505, pruned_loss=0.1055, over 2773307.07 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07329, over 45808.23 utterances.], batch size: 167, lr: 2.36e-04
+2022-09-18 16:59:35,806 INFO [train.py:885] (1/2) Epoch 20, batch 3800, loss[loss=0.2386, simple_loss=0.3176, pruned_loss=0.07978, over 14058.00 frames. utt_duration=575 frames, utt_pad_proportion=0.05428, over 98.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3524, pruned_loss=0.1063, over 2779263.50 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07182, over 46041.39 utterances.], batch size: 98, lr: 2.36e-04
+2022-09-18 17:00:05,455 INFO [train.py:885] (1/2) Epoch 20, batch 3850, loss[loss=0.2858, simple_loss=0.3753, pruned_loss=0.0982, over 13953.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05919, over 365.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3524, pruned_loss=0.1059, over 2779326.06 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07103, over 46334.60 utterances.], batch size: 365, lr: 2.36e-04
+2022-09-18 17:00:34,565 INFO [train.py:885] (1/2) Epoch 20, batch 3900, loss[loss=0.2093, simple_loss=0.2586, pruned_loss=0.07997, over 13994.00 frames. utt_duration=919.1 frames, utt_pad_proportion=0.06501, over 61.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3528, pruned_loss=0.1057, over 2785387.62 frames. utt_duration=241.6 frames, utt_pad_proportion=0.069, over 46396.98 utterances.], batch size: 61, lr: 2.36e-04
+2022-09-18 17:01:04,499 INFO [train.py:885] (1/2) Epoch 20, batch 3950, loss[loss=0.1973, simple_loss=0.2513, pruned_loss=0.07164, over 13057.00 frames. utt_duration=1584 frames, utt_pad_proportion=0.1114, over 33.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3523, pruned_loss=0.106, over 2786863.79 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06916, over 45838.29 utterances.], batch size: 33, lr: 2.36e-04
+2022-09-18 17:01:34,138 INFO [train.py:885] (1/2) Epoch 20, batch 4000, loss[loss=0.2076, simple_loss=0.2923, pruned_loss=0.06145, over 14144.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04654, over 109.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3565, pruned_loss=0.1084, over 2783954.61 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07159, over 47872.61 utterances.], batch size: 109, lr: 2.36e-04
+2022-09-18 17:02:03,386 INFO [train.py:885] (1/2) Epoch 20, batch 4050, loss[loss=0.3212, simple_loss=0.3732, pruned_loss=0.1346, over 14356.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.03434, over 130.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3549, pruned_loss=0.1077, over 2786686.01 frames. utt_duration=237 frames, utt_pad_proportion=0.07018, over 47322.02 utterances.], batch size: 130, lr: 2.36e-04
+2022-09-18 17:02:33,160 INFO [train.py:885] (1/2) Epoch 20, batch 4100, loss[loss=0.2943, simple_loss=0.3912, pruned_loss=0.09871, over 13789.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07073, over 411.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3528, pruned_loss=0.1058, over 2785261.69 frames. utt_duration=240.1 frames, utt_pad_proportion=0.06958, over 46684.44 utterances.], batch size: 411, lr: 2.36e-04
+2022-09-18 17:03:03,076 INFO [train.py:885] (1/2) Epoch 20, batch 4150, loss[loss=0.2816, simple_loss=0.3582, pruned_loss=0.1025, over 14288.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04097, over 262.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3535, pruned_loss=0.1054, over 2785970.20 frames. utt_duration=238.5 frames, utt_pad_proportion=0.06899, over 47005.21 utterances.], batch size: 262, lr: 2.36e-04
+2022-09-18 17:03:31,707 INFO [train.py:885] (1/2) Epoch 20, batch 4200, loss[loss=0.2906, simple_loss=0.3663, pruned_loss=0.1075, over 14259.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04122, over 225.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3516, pruned_loss=0.1048, over 2785874.55 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06843, over 45740.64 utterances.], batch size: 225, lr: 2.36e-04
+2022-09-18 17:04:02,521 INFO [train.py:885] (1/2) Epoch 20, batch 4250, loss[loss=0.4249, simple_loss=0.5104, pruned_loss=0.1697, over 13150.00 frames. utt_duration=82.1 frames, utt_pad_proportion=0.1076, over 653.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3517, pruned_loss=0.1054, over 2783263.95 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07025, over 45732.33 utterances.], batch size: 653, lr: 2.36e-04
+2022-09-18 17:04:31,943 INFO [train.py:885] (1/2) Epoch 20, batch 4300, loss[loss=0.1807, simple_loss=0.2405, pruned_loss=0.06043, over 13996.00 frames. utt_duration=934.3 frames, utt_pad_proportion=0.06101, over 60.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3472, pruned_loss=0.1045, over 2785013.08 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06897, over 43378.37 utterances.], batch size: 60, lr: 2.36e-04
+2022-09-18 17:05:01,266 INFO [train.py:885] (1/2) Epoch 20, batch 4350, loss[loss=0.3255, simple_loss=0.4247, pruned_loss=0.1131, over 13661.00 frames. utt_duration=98.81 frames, utt_pad_proportion=0.0765, over 561.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3492, pruned_loss=0.1058, over 2782863.96 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06973, over 44321.26 utterances.], batch size: 561, lr: 2.36e-04
+2022-09-18 17:05:31,327 INFO [train.py:885] (1/2) Epoch 20, batch 4400, loss[loss=0.2366, simple_loss=0.3166, pruned_loss=0.07827, over 14277.00 frames. utt_duration=406.6 frames, utt_pad_proportion=0.0434, over 141.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3522, pruned_loss=0.1069, over 2779990.25 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07215, over 45602.83 utterances.], batch size: 141, lr: 2.36e-04
+2022-09-18 17:06:00,467 INFO [train.py:885] (1/2) Epoch 20, batch 4450, loss[loss=0.579, simple_loss=0.6333, pruned_loss=0.2624, over 12488.00 frames. utt_duration=63.28 frames, utt_pad_proportion=0.1449, over 810.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3533, pruned_loss=0.107, over 2782140.43 frames. utt_duration=242.7 frames, utt_pad_proportion=0.0726, over 46139.34 utterances.], batch size: 810, lr: 2.36e-04
+2022-09-18 17:06:30,509 INFO [train.py:885] (1/2) Epoch 20, batch 4500, loss[loss=0.2134, simple_loss=0.2822, pruned_loss=0.07234, over 14193.00 frames. utt_duration=522.1 frames, utt_pad_proportion=0.0438, over 109.00 utterances.], tot_loss[loss=0.2899, simple_loss=0.3589, pruned_loss=0.1104, over 2781438.19 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07405, over 48240.93 utterances.], batch size: 109, lr: 2.36e-04
+2022-09-18 17:06:59,751 INFO [train.py:885] (1/2) Epoch 20, batch 4550, loss[loss=0.2279, simple_loss=0.2774, pruned_loss=0.08926, over 13669.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08617, over 42.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3577, pruned_loss=0.1091, over 2784098.85 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07178, over 48018.12 utterances.], batch size: 42, lr: 2.35e-04
+2022-09-18 17:07:29,635 INFO [train.py:885] (1/2) Epoch 20, batch 4600, loss[loss=0.2741, simple_loss=0.3473, pruned_loss=0.1005, over 14296.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03892, over 180.00 utterances.], tot_loss[loss=0.2882, simple_loss=0.3588, pruned_loss=0.1087, over 2781244.57 frames. utt_duration=228.2 frames, utt_pad_proportion=0.07294, over 49066.16 utterances.], batch size: 180, lr: 2.35e-04
+2022-09-18 17:07:59,090 INFO [train.py:885] (1/2) Epoch 20, batch 4650, loss[loss=0.3072, simple_loss=0.3728, pruned_loss=0.1208, over 14385.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.0321, over 244.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.356, pruned_loss=0.1068, over 2777683.12 frames. utt_duration=229.4 frames, utt_pad_proportion=0.07452, over 48756.78 utterances.], batch size: 244, lr: 2.35e-04
+2022-09-18 17:08:28,404 INFO [train.py:885] (1/2) Epoch 20, batch 4700, loss[loss=0.3457, simple_loss=0.4035, pruned_loss=0.1439, over 14363.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.0353, over 195.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3526, pruned_loss=0.1057, over 2779106.80 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07298, over 46539.52 utterances.], batch size: 195, lr: 2.35e-04
+2022-09-18 17:08:58,158 INFO [train.py:885] (1/2) Epoch 20, batch 4750, loss[loss=0.3637, simple_loss=0.4521, pruned_loss=0.1377, over 13613.00 frames. utt_duration=98.62 frames, utt_pad_proportion=0.07832, over 560.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.355, pruned_loss=0.1071, over 2779670.70 frames. utt_duration=238 frames, utt_pad_proportion=0.0728, over 47013.04 utterances.], batch size: 560, lr: 2.35e-04
+2022-09-18 17:09:27,882 INFO [train.py:885] (1/2) Epoch 20, batch 4800, loss[loss=0.3299, simple_loss=0.3839, pruned_loss=0.1379, over 14334.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03456, over 244.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3582, pruned_loss=0.1092, over 2780611.52 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07411, over 47676.07 utterances.], batch size: 244, lr: 2.35e-04
+2022-09-18 17:09:56,549 INFO [train.py:885] (1/2) Epoch 20, batch 4850, loss[loss=0.3085, simple_loss=0.3956, pruned_loss=0.1107, over 14016.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05498, over 365.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3536, pruned_loss=0.1081, over 2782153.11 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07106, over 45099.62 utterances.], batch size: 365, lr: 2.35e-04
+2022-09-18 17:10:26,471 INFO [train.py:885] (1/2) Epoch 20, batch 4900, loss[loss=0.293, simple_loss=0.3599, pruned_loss=0.1131, over 14360.00 frames. utt_duration=320.4 frames, utt_pad_proportion=0.03482, over 180.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3531, pruned_loss=0.1081, over 2776613.41 frames. utt_duration=248 frames, utt_pad_proportion=0.07304, over 45052.90 utterances.], batch size: 180, lr: 2.35e-04
+2022-09-18 17:10:55,965 INFO [train.py:885] (1/2) Epoch 20, batch 4950, loss[loss=0.2078, simple_loss=0.2798, pruned_loss=0.06785, over 12942.00 frames. utt_duration=1992 frames, utt_pad_proportion=0.1192, over 26.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3479, pruned_loss=0.1054, over 2773026.69 frames. utt_duration=256 frames, utt_pad_proportion=0.07251, over 43572.44 utterances.], batch size: 26, lr: 2.35e-04
+2022-09-18 17:11:33,193 INFO [train.py:885] (1/2) Epoch 20, batch 5000, loss[loss=0.2895, simple_loss=0.3676, pruned_loss=0.1057, over 14352.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03633, over 195.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.346, pruned_loss=0.1041, over 2777271.54 frames. utt_duration=260.4 frames, utt_pad_proportion=0.07085, over 42902.38 utterances.], batch size: 195, lr: 2.35e-04
+2022-09-18 17:12:02,896 INFO [train.py:885] (1/2) Epoch 20, batch 5050, loss[loss=0.4261, simple_loss=0.4584, pruned_loss=0.1969, over 14229.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04333, over 335.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3472, pruned_loss=0.1039, over 2776721.47 frames. utt_duration=255 frames, utt_pad_proportion=0.07168, over 43803.93 utterances.], batch size: 335, lr: 2.35e-04
+2022-09-18 17:12:32,468 INFO [train.py:885] (1/2) Epoch 20, batch 5100, loss[loss=0.2352, simple_loss=0.3143, pruned_loss=0.07808, over 14206.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.0426, over 109.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3481, pruned_loss=0.104, over 2777680.58 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07311, over 44662.50 utterances.], batch size: 109, lr: 2.35e-04
+2022-09-18 17:13:02,546 INFO [train.py:885] (1/2) Epoch 20, batch 5150, loss[loss=0.1595, simple_loss=0.2165, pruned_loss=0.05129, over 13339.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08819, over 41.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3528, pruned_loss=0.1059, over 2780379.84 frames. utt_duration=239 frames, utt_pad_proportion=0.07364, over 46813.92 utterances.], batch size: 41, lr: 2.35e-04
+2022-09-18 17:13:31,474 INFO [train.py:885] (1/2) Epoch 20, batch 5200, loss[loss=0.2487, simple_loss=0.3169, pruned_loss=0.0903, over 14126.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.05107, over 98.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3498, pruned_loss=0.1038, over 2783376.44 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07255, over 45605.84 utterances.], batch size: 98, lr: 2.35e-04
+2022-09-18 17:14:00,569 INFO [train.py:885] (1/2) Epoch 20, batch 5250, loss[loss=0.2729, simple_loss=0.3536, pruned_loss=0.09612, over 14353.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03552, over 210.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.346, pruned_loss=0.1028, over 2782858.27 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07136, over 43926.26 utterances.], batch size: 210, lr: 2.35e-04
+2022-09-18 17:14:30,225 INFO [train.py:885] (1/2) Epoch 20, batch 5300, loss[loss=0.343, simple_loss=0.3966, pruned_loss=0.1447, over 14308.00 frames. utt_duration=344.1 frames, utt_pad_proportion=0.04152, over 167.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3471, pruned_loss=0.1033, over 2783171.45 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07093, over 44245.30 utterances.], batch size: 167, lr: 2.35e-04
+2022-09-18 17:14:59,810 INFO [train.py:885] (1/2) Epoch 20, batch 5350, loss[loss=0.3752, simple_loss=0.4503, pruned_loss=0.15, over 13624.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08056, over 477.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3529, pruned_loss=0.1061, over 2784949.12 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07191, over 46266.95 utterances.], batch size: 477, lr: 2.35e-04
+2022-09-18 17:15:29,643 INFO [train.py:885] (1/2) Epoch 20, batch 5400, loss[loss=0.2437, simple_loss=0.3059, pruned_loss=0.09076, over 14038.00 frames. utt_duration=803.6 frames, utt_pad_proportion=0.06118, over 70.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3501, pruned_loss=0.1049, over 2787682.79 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06979, over 44801.48 utterances.], batch size: 70, lr: 2.35e-04
+2022-09-18 17:15:59,227 INFO [train.py:885] (1/2) Epoch 20, batch 5450, loss[loss=0.2074, simple_loss=0.2846, pruned_loss=0.06506, over 14071.00 frames. utt_duration=805.7 frames, utt_pad_proportion=0.05983, over 70.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3545, pruned_loss=0.1071, over 2790444.09 frames. utt_duration=242 frames, utt_pad_proportion=0.06897, over 46396.84 utterances.], batch size: 70, lr: 2.35e-04
+2022-09-18 17:16:29,321 INFO [train.py:885] (1/2) Epoch 20, batch 5500, loss[loss=0.1649, simple_loss=0.2332, pruned_loss=0.04827, over 12455.00 frames. utt_duration=1994 frames, utt_pad_proportion=0.1496, over 25.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3509, pruned_loss=0.1051, over 2787005.86 frames. utt_duration=244.5 frames, utt_pad_proportion=0.06967, over 45879.66 utterances.], batch size: 25, lr: 2.35e-04
+2022-09-18 17:16:58,913 INFO [train.py:885] (1/2) Epoch 20, batch 5550, loss[loss=0.223, simple_loss=0.2895, pruned_loss=0.07823, over 13899.00 frames. utt_duration=928.2 frames, utt_pad_proportion=0.06529, over 60.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3488, pruned_loss=0.1041, over 2787571.68 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06793, over 44532.34 utterances.], batch size: 60, lr: 2.35e-04
+2022-09-18 17:17:28,929 INFO [train.py:885] (1/2) Epoch 20, batch 5600, loss[loss=0.3109, simple_loss=0.3786, pruned_loss=0.1216, over 14280.00 frames. utt_duration=219.4 frames, utt_pad_proportion=0.04195, over 262.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3479, pruned_loss=0.104, over 2789911.49 frames. utt_duration=257.4 frames, utt_pad_proportion=0.0671, over 43610.17 utterances.], batch size: 262, lr: 2.35e-04
+2022-09-18 17:17:58,586 INFO [train.py:885] (1/2) Epoch 20, batch 5650, loss[loss=0.4881, simple_loss=0.5842, pruned_loss=0.196, over 12511.00 frames. utt_duration=63.32 frames, utt_pad_proportion=0.1443, over 810.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3469, pruned_loss=0.1034, over 2789072.27 frames. utt_duration=261.5 frames, utt_pad_proportion=0.06789, over 42904.31 utterances.], batch size: 810, lr: 2.35e-04
+2022-09-18 17:18:28,370 INFO [train.py:885] (1/2) Epoch 20, batch 5700, loss[loss=0.2084, simple_loss=0.2723, pruned_loss=0.07222, over 14052.00 frames. utt_duration=712.9 frames, utt_pad_proportion=0.05575, over 79.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3501, pruned_loss=0.1051, over 2787930.85 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06882, over 44197.53 utterances.], batch size: 79, lr: 2.35e-04
+2022-09-18 17:18:57,868 INFO [train.py:885] (1/2) Epoch 20, batch 5750, loss[loss=0.1886, simple_loss=0.2606, pruned_loss=0.05833, over 13895.00 frames. utt_duration=928 frames, utt_pad_proportion=0.05983, over 60.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3464, pruned_loss=0.1024, over 2787472.02 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06796, over 43476.07 utterances.], batch size: 60, lr: 2.35e-04
+2022-09-18 17:19:27,589 INFO [train.py:885] (1/2) Epoch 20, batch 5800, loss[loss=0.2696, simple_loss=0.3517, pruned_loss=0.09375, over 14334.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.03663, over 226.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3516, pruned_loss=0.105, over 2782660.76 frames. utt_duration=245 frames, utt_pad_proportion=0.07092, over 45709.70 utterances.], batch size: 226, lr: 2.35e-04
+2022-09-18 17:19:57,504 INFO [train.py:885] (1/2) Epoch 20, batch 5850, loss[loss=0.2903, simple_loss=0.3672, pruned_loss=0.1067, over 14313.00 frames. utt_duration=274 frames, utt_pad_proportion=0.0385, over 210.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3554, pruned_loss=0.1073, over 2781953.15 frames. utt_duration=237 frames, utt_pad_proportion=0.07234, over 47248.39 utterances.], batch size: 210, lr: 2.35e-04
+2022-09-18 17:20:26,972 INFO [train.py:885] (1/2) Epoch 20, batch 5900, loss[loss=0.3152, simple_loss=0.3996, pruned_loss=0.1154, over 13986.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05693, over 365.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3509, pruned_loss=0.1048, over 2787569.87 frames. utt_duration=249 frames, utt_pad_proportion=0.06922, over 45040.99 utterances.], batch size: 365, lr: 2.35e-04
+2022-09-18 17:20:56,682 INFO [train.py:885] (1/2) Epoch 20, batch 5950, loss[loss=0.1858, simple_loss=0.2549, pruned_loss=0.05836, over 13233.00 frames. utt_duration=2037 frames, utt_pad_proportion=0.09614, over 26.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3488, pruned_loss=0.1034, over 2782382.30 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07024, over 44831.51 utterances.], batch size: 26, lr: 2.35e-04
+2022-09-18 17:21:26,117 INFO [train.py:885] (1/2) Epoch 20, batch 6000, loss[loss=0.2723, simple_loss=0.3539, pruned_loss=0.09535, over 14356.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03304, over 244.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3451, pruned_loss=0.1012, over 2782319.74 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06888, over 43546.21 utterances.], batch size: 244, lr: 2.35e-04
+2022-09-18 17:21:26,118 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 17:21:30,778 INFO [train.py:914] (1/2) Epoch 20, validation: loss=0.1981, simple_loss=0.2755, pruned_loss=0.06032, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 17:22:00,914 INFO [train.py:885] (1/2) Epoch 20, batch 6050, loss[loss=0.1827, simple_loss=0.242, pruned_loss=0.06167, over 14103.00 frames. utt_duration=926.3 frames, utt_pad_proportion=0.05769, over 61.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.349, pruned_loss=0.1032, over 2780135.36 frames. utt_duration=247.9 frames, utt_pad_proportion=0.0702, over 45131.32 utterances.], batch size: 61, lr: 2.35e-04
+2022-09-18 17:22:30,797 INFO [train.py:885] (1/2) Epoch 20, batch 6100, loss[loss=0.2737, simple_loss=0.3514, pruned_loss=0.09802, over 14395.00 frames. utt_duration=275.6 frames, utt_pad_proportion=0.03303, over 210.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3494, pruned_loss=0.1038, over 2774397.48 frames. utt_duration=245 frames, utt_pad_proportion=0.0717, over 45572.18 utterances.], batch size: 210, lr: 2.35e-04
+2022-09-18 17:22:59,980 INFO [train.py:885] (1/2) Epoch 20, batch 6150, loss[loss=0.3644, simple_loss=0.4193, pruned_loss=0.1548, over 14172.00 frames. utt_duration=186.9 frames, utt_pad_proportion=0.04635, over 306.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3506, pruned_loss=0.1048, over 2774108.16 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07075, over 45704.61 utterances.], batch size: 306, lr: 2.35e-04
+2022-09-18 17:23:29,552 INFO [train.py:885] (1/2) Epoch 20, batch 6200, loss[loss=0.3571, simple_loss=0.429, pruned_loss=0.1426, over 13787.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07024, over 411.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3494, pruned_loss=0.1044, over 2781834.68 frames. utt_duration=251 frames, utt_pad_proportion=0.06746, over 44594.78 utterances.], batch size: 411, lr: 2.35e-04
+2022-09-18 17:23:58,873 INFO [train.py:885] (1/2) Epoch 20, batch 6250, loss[loss=0.705, simple_loss=0.7187, pruned_loss=0.3457, over 12494.00 frames. utt_duration=63.25 frames, utt_pad_proportion=0.1453, over 810.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3545, pruned_loss=0.1072, over 2781998.97 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07012, over 46583.74 utterances.], batch size: 810, lr: 2.35e-04
+2022-09-18 17:24:28,406 INFO [train.py:885] (1/2) Epoch 20, batch 6300, loss[loss=0.2477, simple_loss=0.3244, pruned_loss=0.08548, over 14319.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03876, over 120.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3521, pruned_loss=0.1064, over 2772989.75 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07234, over 46048.01 utterances.], batch size: 120, lr: 2.35e-04
+2022-09-18 17:24:57,714 INFO [train.py:885] (1/2) Epoch 20, batch 6350, loss[loss=0.2402, simple_loss=0.3144, pruned_loss=0.08298, over 14300.00 frames. utt_duration=478 frames, utt_pad_proportion=0.03825, over 120.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3512, pruned_loss=0.1061, over 2772027.39 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07239, over 45222.96 utterances.], batch size: 120, lr: 2.35e-04
+2022-09-18 17:25:27,293 INFO [train.py:885] (1/2) Epoch 20, batch 6400, loss[loss=0.3029, simple_loss=0.3774, pruned_loss=0.1142, over 14280.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04018, over 154.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3499, pruned_loss=0.1049, over 2777641.15 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06997, over 44635.98 utterances.], batch size: 154, lr: 2.35e-04
+2022-09-18 17:25:56,694 INFO [train.py:885] (1/2) Epoch 20, batch 6450, loss[loss=0.4307, simple_loss=0.4594, pruned_loss=0.201, over 14233.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04249, over 335.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3487, pruned_loss=0.1047, over 2779664.90 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06905, over 43794.18 utterances.], batch size: 335, lr: 2.35e-04
+2022-09-18 17:26:26,828 INFO [train.py:885] (1/2) Epoch 20, batch 6500, loss[loss=0.4776, simple_loss=0.5719, pruned_loss=0.1916, over 12521.00 frames. utt_duration=63.36 frames, utt_pad_proportion=0.1438, over 810.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3522, pruned_loss=0.1061, over 2775026.67 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07247, over 45789.79 utterances.], batch size: 810, lr: 2.35e-04
+2022-09-18 17:26:56,390 INFO [train.py:885] (1/2) Epoch 20, batch 6550, loss[loss=0.2887, simple_loss=0.3618, pruned_loss=0.1078, over 14270.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04077, over 225.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3502, pruned_loss=0.105, over 2777568.60 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07122, over 45008.05 utterances.], batch size: 225, lr: 2.35e-04
+2022-09-18 17:27:26,282 INFO [train.py:885] (1/2) Epoch 20, batch 6600, loss[loss=0.2923, simple_loss=0.372, pruned_loss=0.1063, over 14322.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03815, over 210.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3499, pruned_loss=0.1042, over 2777759.84 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07267, over 45399.11 utterances.], batch size: 210, lr: 2.34e-04
+2022-09-18 17:27:56,134 INFO [train.py:885] (1/2) Epoch 20, batch 6650, loss[loss=0.2561, simple_loss=0.3351, pruned_loss=0.08856, over 14308.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04085, over 154.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3504, pruned_loss=0.1046, over 2787677.02 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06861, over 44727.87 utterances.], batch size: 154, lr: 2.34e-04
+2022-09-18 17:28:25,897 INFO [train.py:885] (1/2) Epoch 20, batch 6700, loss[loss=0.2968, simple_loss=0.3829, pruned_loss=0.1053, over 13970.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05732, over 365.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3483, pruned_loss=0.1033, over 2782060.01 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07004, over 44464.86 utterances.], batch size: 365, lr: 2.34e-04
+2022-09-18 17:28:55,678 INFO [train.py:885] (1/2) Epoch 20, batch 6750, loss[loss=0.2418, simple_loss=0.3208, pruned_loss=0.08136, over 14259.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04507, over 141.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3519, pruned_loss=0.1053, over 2779991.48 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07295, over 45786.49 utterances.], batch size: 141, lr: 2.34e-04
+2022-09-18 17:29:25,567 INFO [train.py:885] (1/2) Epoch 20, batch 6800, loss[loss=0.5361, simple_loss=0.6059, pruned_loss=0.2332, over 12515.00 frames. utt_duration=63.3 frames, utt_pad_proportion=0.1446, over 810.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3555, pruned_loss=0.1073, over 2780859.48 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07418, over 47040.57 utterances.], batch size: 810, lr: 2.34e-04
+2022-09-18 17:29:54,760 INFO [train.py:885] (1/2) Epoch 20, batch 6850, loss[loss=0.2626, simple_loss=0.3332, pruned_loss=0.09597, over 14285.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03921, over 180.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3553, pruned_loss=0.1078, over 2783052.97 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07182, over 46704.52 utterances.], batch size: 180, lr: 2.34e-04
+2022-09-18 17:30:24,082 INFO [train.py:885] (1/2) Epoch 20, batch 6900, loss[loss=0.2265, simple_loss=0.2972, pruned_loss=0.0779, over 14043.00 frames. utt_duration=574.6 frames, utt_pad_proportion=0.05655, over 98.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3489, pruned_loss=0.1049, over 2780768.78 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07077, over 44167.36 utterances.], batch size: 98, lr: 2.34e-04
+2022-09-18 17:30:53,869 INFO [train.py:885] (1/2) Epoch 20, batch 6950, loss[loss=0.3892, simple_loss=0.432, pruned_loss=0.1732, over 14227.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04386, over 335.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3479, pruned_loss=0.1043, over 2784234.29 frames. utt_duration=259 frames, utt_pad_proportion=0.06687, over 43245.89 utterances.], batch size: 335, lr: 2.34e-04
+2022-09-18 17:31:23,637 INFO [train.py:885] (1/2) Epoch 20, batch 7000, loss[loss=0.3619, simple_loss=0.4611, pruned_loss=0.1313, over 13150.00 frames. utt_duration=82.09 frames, utt_pad_proportion=0.1077, over 653.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3472, pruned_loss=0.1031, over 2779099.00 frames. utt_duration=256.1 frames, utt_pad_proportion=0.07093, over 43654.68 utterances.], batch size: 653, lr: 2.34e-04
+2022-09-18 17:31:53,703 INFO [train.py:885] (1/2) Epoch 20, batch 7050, loss[loss=0.3188, simple_loss=0.3877, pruned_loss=0.125, over 14357.00 frames. utt_duration=254.5 frames, utt_pad_proportion=0.03596, over 227.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3459, pruned_loss=0.102, over 2777590.50 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07103, over 44412.79 utterances.], batch size: 227, lr: 2.34e-04
+2022-09-18 17:32:22,642 INFO [train.py:885] (1/2) Epoch 20, batch 7100, loss[loss=0.2118, simple_loss=0.2754, pruned_loss=0.0741, over 13834.00 frames. utt_duration=803.3 frames, utt_pad_proportion=0.06487, over 69.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3476, pruned_loss=0.1033, over 2774297.74 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07162, over 44615.05 utterances.], batch size: 69, lr: 2.34e-04
+2022-09-18 17:32:52,552 INFO [train.py:885] (1/2) Epoch 20, batch 7150, loss[loss=0.2155, simple_loss=0.2683, pruned_loss=0.08134, over 13890.00 frames. utt_duration=806.9 frames, utt_pad_proportion=0.06067, over 69.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3489, pruned_loss=0.1045, over 2772022.76 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07299, over 45020.00 utterances.], batch size: 69, lr: 2.34e-04
+2022-09-18 17:33:21,883 INFO [train.py:885] (1/2) Epoch 20, batch 7200, loss[loss=0.3847, simple_loss=0.4637, pruned_loss=0.1529, over 13678.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07822, over 477.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3517, pruned_loss=0.1058, over 2775923.19 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07207, over 45813.04 utterances.], batch size: 477, lr: 2.34e-04
+2022-09-18 17:33:51,600 INFO [train.py:885] (1/2) Epoch 20, batch 7250, loss[loss=0.2146, simple_loss=0.2836, pruned_loss=0.07279, over 13633.00 frames. utt_duration=1071 frames, utt_pad_proportion=0.08955, over 51.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3512, pruned_loss=0.1053, over 2773776.45 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07137, over 45865.82 utterances.], batch size: 51, lr: 2.34e-04
+2022-09-18 17:34:20,968 INFO [train.py:885] (1/2) Epoch 20, batch 7300, loss[loss=0.3015, simple_loss=0.3741, pruned_loss=0.1144, over 14338.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03456, over 244.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3506, pruned_loss=0.105, over 2777100.04 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07097, over 45720.23 utterances.], batch size: 244, lr: 2.34e-04
+2022-09-18 17:34:51,249 INFO [train.py:885] (1/2) Epoch 20, batch 7350, loss[loss=0.5091, simple_loss=0.5894, pruned_loss=0.2144, over 12493.00 frames. utt_duration=63.35 frames, utt_pad_proportion=0.144, over 810.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3504, pruned_loss=0.1042, over 2773122.83 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07289, over 46673.77 utterances.], batch size: 810, lr: 2.34e-04
+2022-09-18 17:35:20,410 INFO [train.py:885] (1/2) Epoch 20, batch 7400, loss[loss=0.1776, simple_loss=0.2556, pruned_loss=0.04984, over 13961.00 frames. utt_duration=799.3 frames, utt_pad_proportion=0.06731, over 70.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3494, pruned_loss=0.1043, over 2773588.58 frames. utt_duration=245.6 frames, utt_pad_proportion=0.0714, over 45446.49 utterances.], batch size: 70, lr: 2.34e-04
+2022-09-18 17:35:49,991 INFO [train.py:885] (1/2) Epoch 20, batch 7450, loss[loss=0.3073, simple_loss=0.3652, pruned_loss=0.1246, over 14321.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03707, over 130.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3496, pruned_loss=0.1042, over 2778388.81 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06972, over 44837.83 utterances.], batch size: 130, lr: 2.34e-04
+2022-09-18 17:36:19,016 INFO [train.py:885] (1/2) Epoch 20, batch 7500, loss[loss=0.6602, simple_loss=0.7005, pruned_loss=0.3099, over 12525.00 frames. utt_duration=63.42 frames, utt_pad_proportion=0.1429, over 810.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3501, pruned_loss=0.1041, over 2781075.58 frames. utt_duration=250 frames, utt_pad_proportion=0.06808, over 44757.41 utterances.], batch size: 810, lr: 2.34e-04
+2022-09-18 17:36:49,735 INFO [train.py:885] (1/2) Epoch 20, batch 7550, loss[loss=0.2776, simple_loss=0.3312, pruned_loss=0.112, over 14137.00 frames. utt_duration=578.5 frames, utt_pad_proportion=0.05008, over 98.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.351, pruned_loss=0.1044, over 2779692.40 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07035, over 45667.13 utterances.], batch size: 98, lr: 2.34e-04
+2022-09-18 17:37:19,694 INFO [train.py:885] (1/2) Epoch 20, batch 7600, loss[loss=0.2333, simple_loss=0.2958, pruned_loss=0.0854, over 14080.00 frames. utt_duration=805.9 frames, utt_pad_proportion=0.05961, over 70.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3543, pruned_loss=0.1068, over 2781540.10 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07094, over 46329.06 utterances.], batch size: 70, lr: 2.34e-04
+2022-09-18 17:37:49,282 INFO [train.py:885] (1/2) Epoch 20, batch 7650, loss[loss=0.3109, simple_loss=0.388, pruned_loss=0.1169, over 14326.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03875, over 262.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3519, pruned_loss=0.1054, over 2777211.09 frames. utt_duration=242.3 frames, utt_pad_proportion=0.0725, over 46137.19 utterances.], batch size: 262, lr: 2.34e-04
+2022-09-18 17:38:19,100 INFO [train.py:885] (1/2) Epoch 20, batch 7700, loss[loss=0.4494, simple_loss=0.5018, pruned_loss=0.1985, over 14064.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.0536, over 366.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3511, pruned_loss=0.1055, over 2782487.79 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07004, over 45558.98 utterances.], batch size: 366, lr: 2.34e-04
+2022-09-18 17:38:48,680 INFO [train.py:885] (1/2) Epoch 20, batch 7750, loss[loss=0.1841, simple_loss=0.2562, pruned_loss=0.05597, over 13632.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.08237, over 50.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3484, pruned_loss=0.1035, over 2783328.81 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06968, over 44704.97 utterances.], batch size: 50, lr: 2.34e-04
+2022-09-18 17:39:18,258 INFO [train.py:885] (1/2) Epoch 20, batch 7800, loss[loss=0.3749, simple_loss=0.4235, pruned_loss=0.1632, over 14213.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04362, over 306.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3487, pruned_loss=0.1036, over 2787611.39 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06773, over 44963.25 utterances.], batch size: 306, lr: 2.34e-04
+2022-09-18 17:39:47,566 INFO [train.py:885] (1/2) Epoch 20, batch 7850, loss[loss=0.3468, simple_loss=0.4038, pruned_loss=0.1449, over 14366.00 frames. utt_duration=237 frames, utt_pad_proportion=0.0326, over 244.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3472, pruned_loss=0.1029, over 2786803.07 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06961, over 44108.50 utterances.], batch size: 244, lr: 2.34e-04
+2022-09-18 17:40:17,359 INFO [train.py:885] (1/2) Epoch 20, batch 7900, loss[loss=0.2596, simple_loss=0.3375, pruned_loss=0.09085, over 14304.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.0389, over 226.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3496, pruned_loss=0.1039, over 2790427.69 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06807, over 44715.86 utterances.], batch size: 226, lr: 2.34e-04
+2022-09-18 17:40:46,791 INFO [train.py:885] (1/2) Epoch 20, batch 7950, loss[loss=0.2217, simple_loss=0.3031, pruned_loss=0.07018, over 14295.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04009, over 120.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3472, pruned_loss=0.1026, over 2790453.62 frames. utt_duration=254 frames, utt_pad_proportion=0.06725, over 44200.61 utterances.], batch size: 120, lr: 2.34e-04
+2022-09-18 17:41:16,202 INFO [train.py:885] (1/2) Epoch 20, batch 8000, loss[loss=0.1351, simple_loss=0.1964, pruned_loss=0.03692, over 12851.00 frames. utt_duration=2057 frames, utt_pad_proportion=0.1402, over 25.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3453, pruned_loss=0.1016, over 2782713.14 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06861, over 43634.14 utterances.], batch size: 25, lr: 2.34e-04
+2022-09-18 17:41:46,096 INFO [train.py:885] (1/2) Epoch 20, batch 8050, loss[loss=0.3718, simple_loss=0.4145, pruned_loss=0.1646, over 14312.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04107, over 167.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3478, pruned_loss=0.1031, over 2780116.55 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07133, over 44631.01 utterances.], batch size: 167, lr: 2.34e-04
+2022-09-18 17:42:15,795 INFO [train.py:885] (1/2) Epoch 20, batch 8100, loss[loss=0.3331, simple_loss=0.4271, pruned_loss=0.1196, over 13637.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.07735, over 560.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3468, pruned_loss=0.1028, over 2777624.77 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07075, over 44286.80 utterances.], batch size: 560, lr: 2.34e-04
+2022-09-18 17:42:45,827 INFO [train.py:885] (1/2) Epoch 20, batch 8150, loss[loss=0.2728, simple_loss=0.3353, pruned_loss=0.1051, over 14075.00 frames. utt_duration=575.8 frames, utt_pad_proportion=0.05302, over 98.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3471, pruned_loss=0.1019, over 2775772.46 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07341, over 45550.59 utterances.], batch size: 98, lr: 2.34e-04
+2022-09-18 17:43:15,553 INFO [train.py:885] (1/2) Epoch 20, batch 8200, loss[loss=0.3165, simple_loss=0.3851, pruned_loss=0.1239, over 14344.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03728, over 262.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3485, pruned_loss=0.1032, over 2775935.34 frames. utt_duration=247 frames, utt_pad_proportion=0.07204, over 45226.09 utterances.], batch size: 262, lr: 2.34e-04
+2022-09-18 17:43:46,091 INFO [train.py:885] (1/2) Epoch 20, batch 8250, loss[loss=0.2853, simple_loss=0.3611, pruned_loss=0.1047, over 14338.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03678, over 195.00 utterances.], tot_loss[loss=0.28, simple_loss=0.351, pruned_loss=0.1045, over 2777062.38 frames. utt_duration=242 frames, utt_pad_proportion=0.07323, over 46175.04 utterances.], batch size: 195, lr: 2.34e-04
+2022-09-18 17:44:15,467 INFO [train.py:885] (1/2) Epoch 20, batch 8300, loss[loss=0.237, simple_loss=0.3118, pruned_loss=0.08107, over 14019.00 frames. utt_duration=573.7 frames, utt_pad_proportion=0.05797, over 98.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.351, pruned_loss=0.1048, over 2778920.20 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07127, over 45580.97 utterances.], batch size: 98, lr: 2.34e-04
+2022-09-18 17:44:45,597 INFO [train.py:885] (1/2) Epoch 20, batch 8350, loss[loss=0.3227, simple_loss=0.4099, pruned_loss=0.1178, over 13747.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07244, over 411.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3546, pruned_loss=0.1076, over 2775455.83 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07124, over 46762.92 utterances.], batch size: 411, lr: 2.34e-04
+2022-09-18 17:45:14,468 INFO [train.py:885] (1/2) Epoch 20, batch 8400, loss[loss=0.2658, simple_loss=0.341, pruned_loss=0.09533, over 14320.00 frames. utt_duration=344.3 frames, utt_pad_proportion=0.04097, over 167.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3521, pruned_loss=0.1064, over 2773720.46 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07281, over 45505.46 utterances.], batch size: 167, lr: 2.34e-04
+2022-09-18 17:45:44,268 INFO [train.py:885] (1/2) Epoch 20, batch 8450, loss[loss=0.2664, simple_loss=0.328, pruned_loss=0.1024, over 14296.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04031, over 120.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3518, pruned_loss=0.1062, over 2779366.79 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07075, over 45153.76 utterances.], batch size: 120, lr: 2.34e-04
+2022-09-18 17:46:13,311 INFO [train.py:885] (1/2) Epoch 20, batch 8500, loss[loss=0.2395, simple_loss=0.312, pruned_loss=0.08355, over 14299.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.03994, over 120.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3554, pruned_loss=0.1087, over 2785359.83 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07014, over 45722.57 utterances.], batch size: 120, lr: 2.34e-04
+2022-09-18 17:46:43,305 INFO [train.py:885] (1/2) Epoch 20, batch 8550, loss[loss=0.278, simple_loss=0.353, pruned_loss=0.1015, over 14304.00 frames. utt_duration=344.1 frames, utt_pad_proportion=0.04142, over 167.00 utterances.], tot_loss[loss=0.2885, simple_loss=0.358, pruned_loss=0.1094, over 2782422.58 frames. utt_duration=236.9 frames, utt_pad_proportion=0.0724, over 47272.50 utterances.], batch size: 167, lr: 2.34e-04
+2022-09-18 17:47:13,084 INFO [train.py:885] (1/2) Epoch 20, batch 8600, loss[loss=0.1543, simple_loss=0.2339, pruned_loss=0.0374, over 13539.00 frames. utt_duration=1291 frames, utt_pad_proportion=0.09412, over 42.00 utterances.], tot_loss[loss=0.2859, simple_loss=0.3551, pruned_loss=0.1084, over 2779503.61 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07264, over 45862.06 utterances.], batch size: 42, lr: 2.34e-04
+2022-09-18 17:47:42,661 INFO [train.py:885] (1/2) Epoch 20, batch 8650, loss[loss=0.1846, simple_loss=0.2511, pruned_loss=0.05903, over 13866.00 frames. utt_duration=925.7 frames, utt_pad_proportion=0.07057, over 60.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3496, pruned_loss=0.1051, over 2784293.21 frames. utt_duration=257 frames, utt_pad_proportion=0.06964, over 43592.88 utterances.], batch size: 60, lr: 2.34e-04
+2022-09-18 17:48:11,934 INFO [train.py:885] (1/2) Epoch 20, batch 8700, loss[loss=0.1879, simple_loss=0.2481, pruned_loss=0.06382, over 13795.00 frames. utt_duration=921.1 frames, utt_pad_proportion=0.07425, over 60.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3515, pruned_loss=0.1056, over 2780120.64 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07187, over 45190.16 utterances.], batch size: 60, lr: 2.34e-04
+2022-09-18 17:48:41,192 INFO [train.py:885] (1/2) Epoch 20, batch 8750, loss[loss=0.2589, simple_loss=0.3126, pruned_loss=0.1025, over 14179.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04428, over 109.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3523, pruned_loss=0.1059, over 2781358.68 frames. utt_duration=245.4 frames, utt_pad_proportion=0.0715, over 45619.80 utterances.], batch size: 109, lr: 2.33e-04
+2022-09-18 17:49:10,974 INFO [train.py:885] (1/2) Epoch 20, batch 8800, loss[loss=0.4941, simple_loss=0.5849, pruned_loss=0.2017, over 12403.00 frames. utt_duration=62.8 frames, utt_pad_proportion=0.1514, over 811.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3542, pruned_loss=0.1071, over 2779691.06 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07417, over 45762.99 utterances.], batch size: 811, lr: 2.33e-04
+2022-09-18 17:49:40,461 INFO [train.py:885] (1/2) Epoch 20, batch 8850, loss[loss=0.2851, simple_loss=0.3621, pruned_loss=0.104, over 14262.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04114, over 225.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3536, pruned_loss=0.106, over 2777629.51 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07581, over 46637.59 utterances.], batch size: 225, lr: 2.33e-04
+2022-09-18 17:50:10,139 INFO [train.py:885] (1/2) Epoch 20, batch 8900, loss[loss=0.1792, simple_loss=0.2437, pruned_loss=0.05737, over 13885.00 frames. utt_duration=927.2 frames, utt_pad_proportion=0.06816, over 60.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3523, pruned_loss=0.1055, over 2779873.05 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07347, over 45801.62 utterances.], batch size: 60, lr: 2.33e-04
+2022-09-18 17:50:40,195 INFO [train.py:885] (1/2) Epoch 20, batch 8950, loss[loss=0.2759, simple_loss=0.3548, pruned_loss=0.0985, over 14347.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03861, over 167.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3526, pruned_loss=0.1054, over 2781421.32 frames. utt_duration=244 frames, utt_pad_proportion=0.07272, over 45870.30 utterances.], batch size: 167, lr: 2.33e-04
+2022-09-18 17:51:09,417 INFO [train.py:885] (1/2) Epoch 20, batch 9000, loss[loss=0.331, simple_loss=0.3991, pruned_loss=0.1314, over 14307.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03915, over 283.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3534, pruned_loss=0.1063, over 2778486.21 frames. utt_duration=243.2 frames, utt_pad_proportion=0.0732, over 45985.06 utterances.], batch size: 283, lr: 2.33e-04
+2022-09-18 17:51:09,418 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 17:51:14,117 INFO [train.py:914] (1/2) Epoch 20, validation: loss=0.1951, simple_loss=0.2728, pruned_loss=0.05873, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 17:51:44,757 INFO [train.py:885] (1/2) Epoch 20, batch 9050, loss[loss=0.2998, simple_loss=0.3842, pruned_loss=0.1078, over 13973.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05733, over 365.00 utterances.], tot_loss[loss=0.2853, simple_loss=0.3557, pruned_loss=0.1074, over 2774450.60 frames. utt_duration=237 frames, utt_pad_proportion=0.07387, over 47124.83 utterances.], batch size: 365, lr: 2.33e-04
+2022-09-18 17:52:13,814 INFO [train.py:885] (1/2) Epoch 20, batch 9100, loss[loss=0.2419, simple_loss=0.3084, pruned_loss=0.08776, over 14065.00 frames. utt_duration=575.5 frames, utt_pad_proportion=0.05352, over 98.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3559, pruned_loss=0.1084, over 2775397.86 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07495, over 46573.85 utterances.], batch size: 98, lr: 2.33e-04
+2022-09-18 17:52:42,857 INFO [train.py:885] (1/2) Epoch 20, batch 9150, loss[loss=0.2314, simple_loss=0.306, pruned_loss=0.07839, over 14298.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.04004, over 120.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3548, pruned_loss=0.1073, over 2778221.09 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07425, over 46253.29 utterances.], batch size: 120, lr: 2.33e-04
+2022-09-18 17:53:12,246 INFO [train.py:885] (1/2) Epoch 20, batch 9200, loss[loss=0.2999, simple_loss=0.3979, pruned_loss=0.1009, over 13655.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.0789, over 477.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3535, pruned_loss=0.1068, over 2779774.16 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07395, over 45934.94 utterances.], batch size: 477, lr: 2.33e-04
+2022-09-18 17:53:41,815 INFO [train.py:885] (1/2) Epoch 20, batch 9250, loss[loss=0.2914, simple_loss=0.3663, pruned_loss=0.1082, over 14376.00 frames. utt_duration=296.4 frames, utt_pad_proportion=0.03458, over 195.00 utterances.], tot_loss[loss=0.2874, simple_loss=0.3573, pruned_loss=0.1088, over 2777854.73 frames. utt_duration=235 frames, utt_pad_proportion=0.07603, over 47593.76 utterances.], batch size: 195, lr: 2.33e-04
+2022-09-18 17:54:11,475 INFO [train.py:885] (1/2) Epoch 20, batch 9300, loss[loss=0.3014, simple_loss=0.3723, pruned_loss=0.1152, over 14256.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04232, over 225.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3542, pruned_loss=0.1075, over 2779128.26 frames. utt_duration=242.6 frames, utt_pad_proportion=0.074, over 46109.22 utterances.], batch size: 225, lr: 2.33e-04
+2022-09-18 17:54:40,459 INFO [train.py:885] (1/2) Epoch 20, batch 9350, loss[loss=0.1821, simple_loss=0.2614, pruned_loss=0.05144, over 13861.00 frames. utt_duration=925.6 frames, utt_pad_proportion=0.06978, over 60.00 utterances.], tot_loss[loss=0.2864, simple_loss=0.3558, pruned_loss=0.1085, over 2776139.08 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07562, over 46373.40 utterances.], batch size: 60, lr: 2.33e-04
+2022-09-18 17:55:10,065 INFO [train.py:885] (1/2) Epoch 20, batch 9400, loss[loss=0.2208, simple_loss=0.296, pruned_loss=0.07281, over 14268.00 frames. utt_duration=477.1 frames, utt_pad_proportion=0.042, over 120.00 utterances.], tot_loss[loss=0.2895, simple_loss=0.359, pruned_loss=0.11, over 2780972.85 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07552, over 47650.65 utterances.], batch size: 120, lr: 2.33e-04
+2022-09-18 17:55:39,184 INFO [train.py:885] (1/2) Epoch 20, batch 9450, loss[loss=0.2629, simple_loss=0.3233, pruned_loss=0.1013, over 14175.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04829, over 89.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3546, pruned_loss=0.1082, over 2776554.75 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07448, over 45659.82 utterances.], batch size: 89, lr: 2.33e-04
+2022-09-18 17:56:09,012 INFO [train.py:885] (1/2) Epoch 20, batch 9500, loss[loss=0.4827, simple_loss=0.5754, pruned_loss=0.195, over 12480.00 frames. utt_duration=63.1 frames, utt_pad_proportion=0.1473, over 811.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3537, pruned_loss=0.1073, over 2777361.81 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07353, over 45835.50 utterances.], batch size: 811, lr: 2.33e-04
+2022-09-18 17:56:38,068 INFO [train.py:885] (1/2) Epoch 20, batch 9550, loss[loss=0.2776, simple_loss=0.3535, pruned_loss=0.1008, over 14301.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.04158, over 154.00 utterances.], tot_loss[loss=0.278, simple_loss=0.348, pruned_loss=0.1041, over 2775162.10 frames. utt_duration=252.7 frames, utt_pad_proportion=0.0723, over 44187.83 utterances.], batch size: 154, lr: 2.33e-04
+2022-09-18 17:57:07,916 INFO [train.py:885] (1/2) Epoch 20, batch 9600, loss[loss=0.3289, simple_loss=0.3915, pruned_loss=0.1331, over 14268.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04121, over 335.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3462, pruned_loss=0.1027, over 2774518.78 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07251, over 44441.22 utterances.], batch size: 335, lr: 2.33e-04
+2022-09-18 17:57:37,151 INFO [train.py:885] (1/2) Epoch 20, batch 9650, loss[loss=0.2521, simple_loss=0.3278, pruned_loss=0.08817, over 14304.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03776, over 130.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.347, pruned_loss=0.1033, over 2780360.60 frames. utt_duration=253.5 frames, utt_pad_proportion=0.07183, over 44127.67 utterances.], batch size: 130, lr: 2.33e-04
+2022-09-18 17:58:06,912 INFO [train.py:885] (1/2) Epoch 20, batch 9700, loss[loss=0.2147, simple_loss=0.2744, pruned_loss=0.07752, over 13864.00 frames. utt_duration=805.3 frames, utt_pad_proportion=0.06256, over 69.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3476, pruned_loss=0.1033, over 2780206.14 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07351, over 45217.42 utterances.], batch size: 69, lr: 2.33e-04
+2022-09-18 17:58:36,561 INFO [train.py:885] (1/2) Epoch 20, batch 9750, loss[loss=0.2834, simple_loss=0.3555, pruned_loss=0.1056, over 14314.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04023, over 154.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3511, pruned_loss=0.1048, over 2780358.04 frames. utt_duration=241 frames, utt_pad_proportion=0.07301, over 46426.78 utterances.], batch size: 154, lr: 2.33e-04
+2022-09-18 17:59:14,286 INFO [train.py:885] (1/2) Epoch 20, batch 9800, loss[loss=0.3094, simple_loss=0.3799, pruned_loss=0.1194, over 14295.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03891, over 180.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3533, pruned_loss=0.1065, over 2777330.69 frames. utt_duration=238.2 frames, utt_pad_proportion=0.0739, over 46934.07 utterances.], batch size: 180, lr: 2.33e-04
+2022-09-18 17:59:44,030 INFO [train.py:885] (1/2) Epoch 20, batch 9850, loss[loss=0.2663, simple_loss=0.3501, pruned_loss=0.0912, over 14336.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03503, over 244.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3502, pruned_loss=0.1046, over 2776499.21 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07297, over 46425.83 utterances.], batch size: 244, lr: 2.33e-04
+2022-09-18 18:00:13,982 INFO [train.py:885] (1/2) Epoch 20, batch 9900, loss[loss=0.3913, simple_loss=0.4311, pruned_loss=0.1758, over 14372.00 frames. utt_duration=237 frames, utt_pad_proportion=0.0326, over 244.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3488, pruned_loss=0.1041, over 2779306.10 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07199, over 45675.24 utterances.], batch size: 244, lr: 2.33e-04
+2022-09-18 18:00:43,308 INFO [train.py:885] (1/2) Epoch 20, batch 9950, loss[loss=0.2809, simple_loss=0.3598, pruned_loss=0.101, over 14308.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.0389, over 226.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3512, pruned_loss=0.1049, over 2776359.30 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07254, over 46609.25 utterances.], batch size: 226, lr: 2.33e-04
+2022-09-18 18:01:12,904 INFO [train.py:885] (1/2) Epoch 20, batch 10000, loss[loss=0.3838, simple_loss=0.4799, pruned_loss=0.1438, over 13161.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1062, over 653.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3531, pruned_loss=0.1063, over 2775600.29 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07306, over 47267.04 utterances.], batch size: 653, lr: 2.33e-04
+2022-09-18 18:01:42,159 INFO [train.py:885] (1/2) Epoch 20, batch 10050, loss[loss=0.3228, simple_loss=0.4028, pruned_loss=0.1214, over 14019.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05673, over 366.00 utterances.], tot_loss[loss=0.282, simple_loss=0.352, pruned_loss=0.106, over 2780290.31 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06999, over 45625.74 utterances.], batch size: 366, lr: 2.33e-04
+2022-09-18 18:02:11,540 INFO [train.py:885] (1/2) Epoch 20, batch 10100, loss[loss=0.3008, simple_loss=0.4036, pruned_loss=0.09898, over 13567.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.08446, over 477.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3529, pruned_loss=0.1061, over 2779486.13 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07028, over 45352.63 utterances.], batch size: 477, lr: 2.33e-04
+2022-09-18 18:02:41,564 INFO [train.py:885] (1/2) Epoch 20, batch 10150, loss[loss=0.2779, simple_loss=0.3509, pruned_loss=0.1025, over 14317.00 frames. utt_duration=256 frames, utt_pad_proportion=0.03761, over 225.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3526, pruned_loss=0.1062, over 2779221.01 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07258, over 44838.35 utterances.], batch size: 225, lr: 2.33e-04
+2022-09-18 18:03:11,055 INFO [train.py:885] (1/2) Epoch 20, batch 10200, loss[loss=0.1736, simple_loss=0.2453, pruned_loss=0.05098, over 13863.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.06691, over 51.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3539, pruned_loss=0.1067, over 2783426.23 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07183, over 45740.37 utterances.], batch size: 51, lr: 2.33e-04
+2022-09-18 18:03:40,267 INFO [train.py:885] (1/2) Epoch 20, batch 10250, loss[loss=0.2249, simple_loss=0.2907, pruned_loss=0.07953, over 13957.00 frames. utt_duration=707.9 frames, utt_pad_proportion=0.06364, over 79.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.355, pruned_loss=0.1069, over 2779873.35 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07394, over 47123.64 utterances.], batch size: 79, lr: 2.33e-04
+2022-09-18 18:04:09,994 INFO [train.py:885] (1/2) Epoch 20, batch 10300, loss[loss=0.2344, simple_loss=0.2918, pruned_loss=0.08846, over 13845.00 frames. utt_duration=924.5 frames, utt_pad_proportion=0.07179, over 60.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3551, pruned_loss=0.1073, over 2781619.78 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07203, over 47116.66 utterances.], batch size: 60, lr: 2.33e-04
+2022-09-18 18:04:39,073 INFO [train.py:885] (1/2) Epoch 20, batch 10350, loss[loss=0.3151, simple_loss=0.4068, pruned_loss=0.1117, over 14018.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.0553, over 365.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3541, pruned_loss=0.1071, over 2785264.86 frames. utt_duration=242.3 frames, utt_pad_proportion=0.06992, over 46266.82 utterances.], batch size: 365, lr: 2.33e-04
+2022-09-18 18:05:08,729 INFO [train.py:885] (1/2) Epoch 20, batch 10400, loss[loss=0.2519, simple_loss=0.3297, pruned_loss=0.08709, over 14290.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.0407, over 120.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3505, pruned_loss=0.1044, over 2785369.68 frames. utt_duration=250 frames, utt_pad_proportion=0.06893, over 44831.22 utterances.], batch size: 120, lr: 2.33e-04
+2022-09-18 18:05:37,978 INFO [train.py:885] (1/2) Epoch 20, batch 10450, loss[loss=0.1932, simple_loss=0.2438, pruned_loss=0.07135, over 13656.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08697, over 42.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3492, pruned_loss=0.1044, over 2780918.06 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07032, over 44537.82 utterances.], batch size: 42, lr: 2.33e-04
+2022-09-18 18:06:08,107 INFO [train.py:885] (1/2) Epoch 20, batch 10500, loss[loss=0.5141, simple_loss=0.6065, pruned_loss=0.2108, over 12427.00 frames. utt_duration=62.91 frames, utt_pad_proportion=0.1498, over 810.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3477, pruned_loss=0.1036, over 2778481.99 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07063, over 44436.37 utterances.], batch size: 810, lr: 2.33e-04
+2022-09-18 18:06:37,408 INFO [train.py:885] (1/2) Epoch 20, batch 10550, loss[loss=0.2668, simple_loss=0.3313, pruned_loss=0.1012, over 14201.00 frames. utt_duration=522.5 frames, utt_pad_proportion=0.04305, over 109.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3486, pruned_loss=0.1041, over 2778904.43 frames. utt_duration=249.9 frames, utt_pad_proportion=0.0714, over 44747.49 utterances.], batch size: 109, lr: 2.33e-04
+2022-09-18 18:07:07,242 INFO [train.py:885] (1/2) Epoch 20, batch 10600, loss[loss=0.3658, simple_loss=0.4612, pruned_loss=0.1352, over 13152.00 frames. utt_duration=82.12 frames, utt_pad_proportion=0.1074, over 653.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3484, pruned_loss=0.1042, over 2776044.33 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07246, over 44795.76 utterances.], batch size: 653, lr: 2.33e-04
+2022-09-18 18:07:36,262 INFO [train.py:885] (1/2) Epoch 20, batch 10650, loss[loss=0.3104, simple_loss=0.3875, pruned_loss=0.1166, over 14325.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03802, over 283.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3458, pruned_loss=0.1032, over 2779540.64 frames. utt_duration=259.6 frames, utt_pad_proportion=0.07046, over 43071.93 utterances.], batch size: 283, lr: 2.33e-04
+2022-09-18 18:08:06,069 INFO [train.py:885] (1/2) Epoch 20, batch 10700, loss[loss=0.2639, simple_loss=0.3445, pruned_loss=0.09165, over 14323.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03794, over 195.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3468, pruned_loss=0.1031, over 2776993.06 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07137, over 44616.86 utterances.], batch size: 195, lr: 2.33e-04
+2022-09-18 18:08:35,565 INFO [train.py:885] (1/2) Epoch 20, batch 10750, loss[loss=0.3687, simple_loss=0.4162, pruned_loss=0.1606, over 14226.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04293, over 306.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.349, pruned_loss=0.1046, over 2777964.81 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07048, over 44994.71 utterances.], batch size: 306, lr: 2.33e-04
+2022-09-18 18:09:05,186 INFO [train.py:885] (1/2) Epoch 20, batch 10800, loss[loss=0.3573, simple_loss=0.4086, pruned_loss=0.153, over 14246.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04143, over 306.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3492, pruned_loss=0.1051, over 2779966.79 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07243, over 44728.75 utterances.], batch size: 306, lr: 2.33e-04
+2022-09-18 18:09:34,622 INFO [train.py:885] (1/2) Epoch 20, batch 10850, loss[loss=0.2331, simple_loss=0.3159, pruned_loss=0.0752, over 14314.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.04133, over 141.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3503, pruned_loss=0.105, over 2779792.70 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07424, over 45417.64 utterances.], batch size: 141, lr: 2.33e-04
+2022-09-18 18:10:04,092 INFO [train.py:885] (1/2) Epoch 20, batch 10900, loss[loss=0.2853, simple_loss=0.3616, pruned_loss=0.1045, over 14319.00 frames. utt_duration=274 frames, utt_pad_proportion=0.03848, over 210.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3495, pruned_loss=0.1043, over 2780522.21 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07274, over 45063.51 utterances.], batch size: 210, lr: 2.32e-04
+2022-09-18 18:10:33,385 INFO [train.py:885] (1/2) Epoch 20, batch 10950, loss[loss=0.2883, simple_loss=0.3529, pruned_loss=0.1118, over 14076.00 frames. utt_duration=575.9 frames, utt_pad_proportion=0.05439, over 98.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3511, pruned_loss=0.1054, over 2780883.91 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07155, over 45275.90 utterances.], batch size: 98, lr: 2.32e-04
+2022-09-18 18:11:10,846 INFO [train.py:885] (1/2) Epoch 20, batch 11000, loss[loss=0.1815, simple_loss=0.2539, pruned_loss=0.0546, over 13878.00 frames. utt_duration=806.1 frames, utt_pad_proportion=0.06162, over 69.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3507, pruned_loss=0.1049, over 2780395.81 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07178, over 45250.46 utterances.], batch size: 69, lr: 2.32e-04
+2022-09-18 18:11:40,335 INFO [train.py:885] (1/2) Epoch 20, batch 11050, loss[loss=0.3103, simple_loss=0.3708, pruned_loss=0.1249, over 14327.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03673, over 180.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3484, pruned_loss=0.1037, over 2781000.10 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06983, over 44457.09 utterances.], batch size: 180, lr: 2.32e-04
+2022-09-18 18:12:10,021 INFO [train.py:885] (1/2) Epoch 20, batch 11100, loss[loss=0.2484, simple_loss=0.311, pruned_loss=0.09294, over 14107.00 frames. utt_duration=577.1 frames, utt_pad_proportion=0.05238, over 98.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3482, pruned_loss=0.1037, over 2781099.23 frames. utt_duration=251.2 frames, utt_pad_proportion=0.06941, over 44543.96 utterances.], batch size: 98, lr: 2.32e-04
+2022-09-18 18:12:40,071 INFO [train.py:885] (1/2) Epoch 20, batch 11150, loss[loss=0.1325, simple_loss=0.192, pruned_loss=0.03648, over 13256.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.1108, over 33.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3496, pruned_loss=0.1037, over 2776647.89 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07233, over 46090.47 utterances.], batch size: 33, lr: 2.32e-04
+2022-09-18 18:13:09,009 INFO [train.py:885] (1/2) Epoch 20, batch 11200, loss[loss=0.3681, simple_loss=0.4115, pruned_loss=0.1623, over 14200.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04497, over 306.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3515, pruned_loss=0.1048, over 2783733.95 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07015, over 46253.48 utterances.], batch size: 306, lr: 2.32e-04
+2022-09-18 18:13:38,605 INFO [train.py:885] (1/2) Epoch 20, batch 11250, loss[loss=0.2624, simple_loss=0.3428, pruned_loss=0.09098, over 14341.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03666, over 210.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3486, pruned_loss=0.1028, over 2780978.38 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07128, over 45904.59 utterances.], batch size: 210, lr: 2.32e-04
+2022-09-18 18:14:07,849 INFO [train.py:885] (1/2) Epoch 20, batch 11300, loss[loss=0.1662, simple_loss=0.223, pruned_loss=0.05469, over 13657.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.07998, over 50.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3485, pruned_loss=0.103, over 2781856.72 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07123, over 45627.14 utterances.], batch size: 50, lr: 2.32e-04
+2022-09-18 18:14:37,753 INFO [train.py:885] (1/2) Epoch 20, batch 11350, loss[loss=0.1944, simple_loss=0.2678, pruned_loss=0.0605, over 14168.00 frames. utt_duration=638.2 frames, utt_pad_proportion=0.05024, over 89.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3547, pruned_loss=0.107, over 2777920.95 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07529, over 47444.87 utterances.], batch size: 89, lr: 2.32e-04
+2022-09-18 18:15:07,341 INFO [train.py:885] (1/2) Epoch 20, batch 11400, loss[loss=0.3098, simple_loss=0.3784, pruned_loss=0.1206, over 14318.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.038, over 195.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3542, pruned_loss=0.1064, over 2778766.40 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07475, over 46965.22 utterances.], batch size: 195, lr: 2.32e-04
+2022-09-18 18:15:36,859 INFO [train.py:885] (1/2) Epoch 20, batch 11450, loss[loss=0.1919, simple_loss=0.2575, pruned_loss=0.06317, over 13850.00 frames. utt_duration=804.4 frames, utt_pad_proportion=0.06352, over 69.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3536, pruned_loss=0.1053, over 2782816.53 frames. utt_duration=237 frames, utt_pad_proportion=0.07269, over 47270.07 utterances.], batch size: 69, lr: 2.32e-04
+2022-09-18 18:16:06,522 INFO [train.py:885] (1/2) Epoch 20, batch 11500, loss[loss=0.3297, simple_loss=0.3914, pruned_loss=0.134, over 14287.00 frames. utt_duration=254.4 frames, utt_pad_proportion=0.04016, over 226.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3527, pruned_loss=0.1056, over 2781536.45 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07233, over 46521.55 utterances.], batch size: 226, lr: 2.32e-04
+2022-09-18 18:16:35,912 INFO [train.py:885] (1/2) Epoch 20, batch 11550, loss[loss=0.392, simple_loss=0.4379, pruned_loss=0.173, over 14202.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04397, over 306.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.351, pruned_loss=0.1044, over 2785866.24 frames. utt_duration=246.5 frames, utt_pad_proportion=0.0703, over 45471.00 utterances.], batch size: 306, lr: 2.32e-04
+2022-09-18 18:17:05,657 INFO [train.py:885] (1/2) Epoch 20, batch 11600, loss[loss=0.3276, simple_loss=0.3955, pruned_loss=0.1299, over 14254.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04177, over 225.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3489, pruned_loss=0.1034, over 2786382.88 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06892, over 44567.62 utterances.], batch size: 225, lr: 2.32e-04
+2022-09-18 18:17:34,771 INFO [train.py:885] (1/2) Epoch 20, batch 11650, loss[loss=0.2563, simple_loss=0.3439, pruned_loss=0.08434, over 14264.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04106, over 180.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3479, pruned_loss=0.1031, over 2785646.88 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06887, over 44146.49 utterances.], batch size: 180, lr: 2.32e-04
+2022-09-18 18:18:04,430 INFO [train.py:885] (1/2) Epoch 20, batch 11700, loss[loss=0.2684, simple_loss=0.3349, pruned_loss=0.101, over 14298.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.0426, over 141.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3494, pruned_loss=0.1046, over 2786559.72 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06979, over 43940.90 utterances.], batch size: 141, lr: 2.32e-04
+2022-09-18 18:18:33,727 INFO [train.py:885] (1/2) Epoch 20, batch 11750, loss[loss=0.2561, simple_loss=0.3294, pruned_loss=0.09145, over 14213.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.04824, over 141.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3506, pruned_loss=0.1053, over 2784726.75 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06967, over 44780.94 utterances.], batch size: 141, lr: 2.32e-04
+2022-09-18 18:19:04,161 INFO [train.py:885] (1/2) Epoch 20, batch 11800, loss[loss=0.2681, simple_loss=0.3443, pruned_loss=0.09593, over 14278.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04033, over 154.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3475, pruned_loss=0.1043, over 2781934.41 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06942, over 43151.77 utterances.], batch size: 154, lr: 2.32e-04
+2022-09-18 18:19:33,491 INFO [train.py:885] (1/2) Epoch 20, batch 11850, loss[loss=0.2048, simple_loss=0.2593, pruned_loss=0.0752, over 13201.00 frames. utt_duration=1601 frames, utt_pad_proportion=0.1088, over 33.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3461, pruned_loss=0.1043, over 2777906.02 frames. utt_duration=266.1 frames, utt_pad_proportion=0.07016, over 41993.26 utterances.], batch size: 33, lr: 2.32e-04
+2022-09-18 18:20:02,826 INFO [train.py:885] (1/2) Epoch 20, batch 11900, loss[loss=0.3222, simple_loss=0.3969, pruned_loss=0.1237, over 14219.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04367, over 306.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3435, pruned_loss=0.1026, over 2778494.27 frames. utt_duration=273.5 frames, utt_pad_proportion=0.0691, over 40862.05 utterances.], batch size: 306, lr: 2.32e-04
+2022-09-18 18:20:32,179 INFO [train.py:885] (1/2) Epoch 20, batch 11950, loss[loss=0.3443, simple_loss=0.3987, pruned_loss=0.145, over 14371.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03492, over 210.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3496, pruned_loss=0.1051, over 2783928.89 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06836, over 43431.44 utterances.], batch size: 210, lr: 2.32e-04
+2022-09-18 18:21:01,298 INFO [train.py:885] (1/2) Epoch 20, batch 12000, loss[loss=0.1718, simple_loss=0.2414, pruned_loss=0.05108, over 13661.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08551, over 42.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3485, pruned_loss=0.1047, over 2781592.70 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06843, over 43391.83 utterances.], batch size: 42, lr: 2.32e-04
+2022-09-18 18:21:01,299 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 18:21:05,617 INFO [train.py:914] (1/2) Epoch 20, validation: loss=0.1975, simple_loss=0.2781, pruned_loss=0.05848, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 18:21:35,742 INFO [train.py:885] (1/2) Epoch 20, batch 12050, loss[loss=0.3283, simple_loss=0.388, pruned_loss=0.1343, over 14314.00 frames. utt_duration=220 frames, utt_pad_proportion=0.0395, over 262.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3549, pruned_loss=0.1076, over 2782018.13 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07145, over 46284.16 utterances.], batch size: 262, lr: 2.32e-04
+2022-09-18 18:22:05,086 INFO [train.py:885] (1/2) Epoch 20, batch 12100, loss[loss=0.2563, simple_loss=0.3382, pruned_loss=0.0872, over 14312.00 frames. utt_duration=255.8 frames, utt_pad_proportion=0.03826, over 225.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.352, pruned_loss=0.1071, over 2782527.26 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06926, over 44238.96 utterances.], batch size: 225, lr: 2.32e-04
+2022-09-18 18:22:34,382 INFO [train.py:885] (1/2) Epoch 20, batch 12150, loss[loss=0.2832, simple_loss=0.3569, pruned_loss=0.1048, over 14330.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03966, over 167.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3511, pruned_loss=0.1069, over 2784900.10 frames. utt_duration=260.1 frames, utt_pad_proportion=0.0686, over 43074.96 utterances.], batch size: 167, lr: 2.32e-04
+2022-09-18 18:23:04,747 INFO [train.py:885] (1/2) Epoch 20, batch 12200, loss[loss=0.3236, simple_loss=0.4039, pruned_loss=0.1217, over 13986.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05665, over 365.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3534, pruned_loss=0.1083, over 2780530.60 frames. utt_duration=255.8 frames, utt_pad_proportion=0.07028, over 43724.37 utterances.], batch size: 365, lr: 2.32e-04
+2022-09-18 18:23:34,246 INFO [train.py:885] (1/2) Epoch 20, batch 12250, loss[loss=0.2752, simple_loss=0.3499, pruned_loss=0.1003, over 14332.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.03881, over 154.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3549, pruned_loss=0.1082, over 2780230.38 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07068, over 45402.30 utterances.], batch size: 154, lr: 2.32e-04
+2022-09-18 18:24:04,272 INFO [train.py:885] (1/2) Epoch 20, batch 12300, loss[loss=0.2336, simple_loss=0.2984, pruned_loss=0.08444, over 14149.00 frames. utt_duration=579 frames, utt_pad_proportion=0.04923, over 98.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3527, pruned_loss=0.1069, over 2780428.65 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06951, over 44861.14 utterances.], batch size: 98, lr: 2.32e-04
+2022-09-18 18:24:33,838 INFO [train.py:885] (1/2) Epoch 20, batch 12350, loss[loss=0.2607, simple_loss=0.3421, pruned_loss=0.08962, over 14362.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03791, over 167.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3524, pruned_loss=0.1061, over 2782954.05 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06929, over 45356.57 utterances.], batch size: 167, lr: 2.32e-04
+2022-09-18 18:25:04,444 INFO [train.py:885] (1/2) Epoch 20, batch 12400, loss[loss=0.5313, simple_loss=0.5892, pruned_loss=0.2367, over 13166.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3511, pruned_loss=0.1045, over 2784605.24 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06899, over 45510.72 utterances.], batch size: 653, lr: 2.32e-04
+2022-09-18 18:25:34,352 INFO [train.py:885] (1/2) Epoch 20, batch 12450, loss[loss=0.2212, simple_loss=0.295, pruned_loss=0.07372, over 14130.00 frames. utt_duration=520 frames, utt_pad_proportion=0.0476, over 109.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3516, pruned_loss=0.1051, over 2785185.35 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06946, over 45175.37 utterances.], batch size: 109, lr: 2.32e-04
+2022-09-18 18:26:03,717 INFO [train.py:885] (1/2) Epoch 20, batch 12500, loss[loss=0.2879, simple_loss=0.3557, pruned_loss=0.1101, over 14211.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.04788, over 141.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3468, pruned_loss=0.1033, over 2785006.24 frames. utt_duration=262.4 frames, utt_pad_proportion=0.0679, over 42699.30 utterances.], batch size: 141, lr: 2.32e-04
+2022-09-18 18:26:33,040 INFO [train.py:885] (1/2) Epoch 20, batch 12550, loss[loss=0.1969, simple_loss=0.2524, pruned_loss=0.07069, over 13176.00 frames. utt_duration=2029 frames, utt_pad_proportion=0.09923, over 26.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3481, pruned_loss=0.1039, over 2784356.65 frames. utt_duration=258.6 frames, utt_pad_proportion=0.0692, over 43322.40 utterances.], batch size: 26, lr: 2.32e-04
+2022-09-18 18:27:01,110 INFO [train.py:885] (1/2) Epoch 20, batch 12600, loss[loss=0.1953, simple_loss=0.2395, pruned_loss=0.0755, over 13532.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08108, over 50.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3479, pruned_loss=0.1029, over 2785106.23 frames. utt_duration=252.3 frames, utt_pad_proportion=0.0698, over 44411.17 utterances.], batch size: 50, lr: 2.32e-04
+2022-09-18 18:27:19,263 INFO [train.py:885] (1/2) Epoch 21, batch 0, loss[loss=0.2134, simple_loss=0.2952, pruned_loss=0.06582, over 13999.00 frames. utt_duration=710.3 frames, utt_pad_proportion=0.05923, over 79.00 utterances.], tot_loss[loss=0.2134, simple_loss=0.2952, pruned_loss=0.06582, over 13999.00 frames. utt_duration=710.3 frames, utt_pad_proportion=0.05923, over 79.00 utterances.], batch size: 79, lr: 2.26e-04
+2022-09-18 18:28:00,163 INFO [train.py:885] (1/2) Epoch 21, batch 50, loss[loss=0.3697, simple_loss=0.4172, pruned_loss=0.1611, over 14274.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04082, over 335.00 utterances.], tot_loss[loss=0.3023, simple_loss=0.3684, pruned_loss=0.1181, over 627595.04 frames. utt_duration=231.5 frames, utt_pad_proportion=0.06746, over 10910.73 utterances.], batch size: 335, lr: 2.26e-04
+2022-09-18 18:28:29,592 INFO [train.py:885] (1/2) Epoch 21, batch 100, loss[loss=0.3094, simple_loss=0.4124, pruned_loss=0.1032, over 13639.00 frames. utt_duration=98.75 frames, utt_pad_proportion=0.07712, over 560.00 utterances.], tot_loss[loss=0.2883, simple_loss=0.3581, pruned_loss=0.1092, over 1104516.64 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07102, over 19103.99 utterances.], batch size: 560, lr: 2.26e-04
+2022-09-18 18:28:58,746 INFO [train.py:885] (1/2) Epoch 21, batch 150, loss[loss=0.2723, simple_loss=0.3412, pruned_loss=0.1016, over 14357.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.03861, over 155.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3469, pruned_loss=0.1027, over 1477900.04 frames. utt_duration=255 frames, utt_pad_proportion=0.06767, over 23314.32 utterances.], batch size: 155, lr: 2.26e-04
+2022-09-18 18:29:28,038 INFO [train.py:885] (1/2) Epoch 21, batch 200, loss[loss=0.1872, simple_loss=0.2592, pruned_loss=0.05763, over 13905.00 frames. utt_duration=807.4 frames, utt_pad_proportion=0.059, over 69.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3412, pruned_loss=0.1003, over 1766168.13 frames. utt_duration=265.3 frames, utt_pad_proportion=0.06598, over 26777.50 utterances.], batch size: 69, lr: 2.26e-04
+2022-09-18 18:29:58,248 INFO [train.py:885] (1/2) Epoch 21, batch 250, loss[loss=0.1825, simple_loss=0.2392, pruned_loss=0.06289, over 13870.00 frames. utt_duration=926.3 frames, utt_pad_proportion=0.06905, over 60.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3454, pruned_loss=0.1022, over 1984865.14 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07187, over 32059.39 utterances.], batch size: 60, lr: 2.26e-04
+2022-09-18 18:30:27,986 INFO [train.py:885] (1/2) Epoch 21, batch 300, loss[loss=0.216, simple_loss=0.2759, pruned_loss=0.07803, over 13962.00 frames. utt_duration=932.4 frames, utt_pad_proportion=0.06384, over 60.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3524, pruned_loss=0.1052, over 2162591.74 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07239, over 36920.30 utterances.], batch size: 60, lr: 2.26e-04
+2022-09-18 18:30:57,749 INFO [train.py:885] (1/2) Epoch 21, batch 350, loss[loss=0.2332, simple_loss=0.2787, pruned_loss=0.09384, over 13809.00 frames. utt_duration=921.9 frames, utt_pad_proportion=0.07065, over 60.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3564, pruned_loss=0.1074, over 2301074.18 frames. utt_duration=230.5 frames, utt_pad_proportion=0.07374, over 40183.06 utterances.], batch size: 60, lr: 2.26e-04
+2022-09-18 18:31:26,828 INFO [train.py:885] (1/2) Epoch 21, batch 400, loss[loss=0.326, simple_loss=0.3858, pruned_loss=0.1331, over 14378.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03158, over 244.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3545, pruned_loss=0.1063, over 2408619.63 frames. utt_duration=236 frames, utt_pad_proportion=0.07167, over 41088.75 utterances.], batch size: 244, lr: 2.26e-04
+2022-09-18 18:31:56,407 INFO [train.py:885] (1/2) Epoch 21, batch 450, loss[loss=0.1887, simple_loss=0.2508, pruned_loss=0.06335, over 13170.00 frames. utt_duration=1598 frames, utt_pad_proportion=0.1116, over 33.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3514, pruned_loss=0.1048, over 2489287.66 frames. utt_duration=240.9 frames, utt_pad_proportion=0.06946, over 41596.08 utterances.], batch size: 33, lr: 2.26e-04
+2022-09-18 18:32:25,505 INFO [train.py:885] (1/2) Epoch 21, batch 500, loss[loss=0.2879, simple_loss=0.3644, pruned_loss=0.1057, over 14386.00 frames. utt_duration=346.1 frames, utt_pad_proportion=0.03579, over 167.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3522, pruned_loss=0.105, over 2554173.51 frames. utt_duration=239.1 frames, utt_pad_proportion=0.06969, over 42996.84 utterances.], batch size: 167, lr: 2.26e-04
+2022-09-18 18:32:54,903 INFO [train.py:885] (1/2) Epoch 21, batch 550, loss[loss=0.3651, simple_loss=0.4712, pruned_loss=0.1295, over 13181.00 frames. utt_duration=82.29 frames, utt_pad_proportion=0.1055, over 653.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3455, pruned_loss=0.1022, over 2607049.24 frames. utt_duration=256.9 frames, utt_pad_proportion=0.0675, over 40830.06 utterances.], batch size: 653, lr: 2.26e-04
+2022-09-18 18:33:23,911 INFO [train.py:885] (1/2) Epoch 21, batch 600, loss[loss=0.2221, simple_loss=0.2866, pruned_loss=0.07876, over 14000.00 frames. utt_duration=710.2 frames, utt_pad_proportion=0.06061, over 79.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3464, pruned_loss=0.1028, over 2648714.02 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06937, over 41668.28 utterances.], batch size: 79, lr: 2.26e-04
+2022-09-18 18:33:54,119 INFO [train.py:885] (1/2) Epoch 21, batch 650, loss[loss=0.2885, simple_loss=0.3571, pruned_loss=0.1099, over 14355.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03598, over 195.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3501, pruned_loss=0.105, over 2675025.63 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07159, over 43712.06 utterances.], batch size: 195, lr: 2.26e-04
+2022-09-18 18:34:22,603 INFO [train.py:885] (1/2) Epoch 21, batch 700, loss[loss=0.1993, simple_loss=0.2772, pruned_loss=0.06063, over 13688.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08494, over 42.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3519, pruned_loss=0.1062, over 2697930.73 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07153, over 44183.14 utterances.], batch size: 42, lr: 2.26e-04
+2022-09-18 18:34:52,644 INFO [train.py:885] (1/2) Epoch 21, batch 750, loss[loss=0.3763, simple_loss=0.4191, pruned_loss=0.1668, over 14238.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04328, over 335.00 utterances.], tot_loss[loss=0.2865, simple_loss=0.357, pruned_loss=0.108, over 2714773.40 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07333, over 47152.64 utterances.], batch size: 335, lr: 2.26e-04
+2022-09-18 18:35:21,759 INFO [train.py:885] (1/2) Epoch 21, batch 800, loss[loss=0.2015, simple_loss=0.2668, pruned_loss=0.06807, over 13169.00 frames. utt_duration=1286 frames, utt_pad_proportion=0.09617, over 41.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3518, pruned_loss=0.1063, over 2721915.04 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07331, over 44956.96 utterances.], batch size: 41, lr: 2.26e-04
+2022-09-18 18:35:51,629 INFO [train.py:885] (1/2) Epoch 21, batch 850, loss[loss=0.293, simple_loss=0.3668, pruned_loss=0.1096, over 14286.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03953, over 225.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3545, pruned_loss=0.1078, over 2733398.82 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07414, over 46480.82 utterances.], batch size: 225, lr: 2.26e-04
+2022-09-18 18:36:21,156 INFO [train.py:885] (1/2) Epoch 21, batch 900, loss[loss=0.2596, simple_loss=0.3387, pruned_loss=0.0903, over 14310.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03824, over 195.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3521, pruned_loss=0.1069, over 2742797.88 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07368, over 45635.68 utterances.], batch size: 195, lr: 2.26e-04
+2022-09-18 18:36:50,976 INFO [train.py:885] (1/2) Epoch 21, batch 950, loss[loss=0.1862, simple_loss=0.2572, pruned_loss=0.05759, over 13814.00 frames. utt_duration=1107 frames, utt_pad_proportion=0.06296, over 50.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3541, pruned_loss=0.1075, over 2754271.35 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07161, over 45867.27 utterances.], batch size: 50, lr: 2.26e-04
+2022-09-18 18:37:21,034 INFO [train.py:885] (1/2) Epoch 21, batch 1000, loss[loss=0.3141, simple_loss=0.3836, pruned_loss=0.1223, over 14345.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03674, over 283.00 utterances.], tot_loss[loss=0.2848, simple_loss=0.3546, pruned_loss=0.1075, over 2757333.74 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07229, over 45978.23 utterances.], batch size: 283, lr: 2.26e-04
+2022-09-18 18:37:50,149 INFO [train.py:885] (1/2) Epoch 21, batch 1050, loss[loss=0.2455, simple_loss=0.3062, pruned_loss=0.09238, over 14296.00 frames. utt_duration=643.9 frames, utt_pad_proportion=0.04032, over 89.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3562, pruned_loss=0.108, over 2758696.41 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07376, over 46898.37 utterances.], batch size: 89, lr: 2.26e-04
+2022-09-18 18:38:19,989 INFO [train.py:885] (1/2) Epoch 21, batch 1100, loss[loss=0.2435, simple_loss=0.3293, pruned_loss=0.07883, over 14323.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03822, over 195.00 utterances.], tot_loss[loss=0.2857, simple_loss=0.3562, pruned_loss=0.1076, over 2763635.61 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07384, over 47203.49 utterances.], batch size: 195, lr: 2.26e-04
+2022-09-18 18:38:49,305 INFO [train.py:885] (1/2) Epoch 21, batch 1150, loss[loss=0.3927, simple_loss=0.4496, pruned_loss=0.1679, over 13952.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.0589, over 365.00 utterances.], tot_loss[loss=0.2858, simple_loss=0.3562, pruned_loss=0.1077, over 2767506.73 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07353, over 47535.17 utterances.], batch size: 365, lr: 2.26e-04
+2022-09-18 18:39:18,707 INFO [train.py:885] (1/2) Epoch 21, batch 1200, loss[loss=0.2159, simple_loss=0.2603, pruned_loss=0.08576, over 13766.00 frames. utt_duration=919.1 frames, utt_pad_proportion=0.07716, over 60.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3536, pruned_loss=0.1058, over 2766726.56 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07431, over 46616.61 utterances.], batch size: 60, lr: 2.26e-04
+2022-09-18 18:39:47,866 INFO [train.py:885] (1/2) Epoch 21, batch 1250, loss[loss=0.2372, simple_loss=0.3179, pruned_loss=0.07827, over 14297.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.04197, over 167.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3499, pruned_loss=0.1041, over 2767512.46 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07461, over 45551.38 utterances.], batch size: 167, lr: 2.26e-04
+2022-09-18 18:40:17,233 INFO [train.py:885] (1/2) Epoch 21, batch 1300, loss[loss=0.1693, simple_loss=0.2305, pruned_loss=0.05409, over 13889.00 frames. utt_duration=806.6 frames, utt_pad_proportion=0.05991, over 69.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3523, pruned_loss=0.1054, over 2773462.77 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07417, over 45787.13 utterances.], batch size: 69, lr: 2.26e-04
+2022-09-18 18:40:47,310 INFO [train.py:885] (1/2) Epoch 21, batch 1350, loss[loss=0.2578, simple_loss=0.3314, pruned_loss=0.09216, over 14224.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04694, over 141.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3511, pruned_loss=0.1043, over 2771469.56 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07577, over 45827.23 utterances.], batch size: 141, lr: 2.26e-04
+2022-09-18 18:41:16,676 INFO [train.py:885] (1/2) Epoch 21, batch 1400, loss[loss=0.2772, simple_loss=0.3528, pruned_loss=0.1008, over 14313.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04033, over 154.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3551, pruned_loss=0.1069, over 2779191.12 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07414, over 45956.84 utterances.], batch size: 154, lr: 2.26e-04
+2022-09-18 18:41:45,841 INFO [train.py:885] (1/2) Epoch 21, batch 1450, loss[loss=0.3845, simple_loss=0.4779, pruned_loss=0.1456, over 13146.00 frames. utt_duration=82.09 frames, utt_pad_proportion=0.1077, over 653.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3524, pruned_loss=0.1062, over 2782092.89 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07279, over 44993.27 utterances.], batch size: 653, lr: 2.26e-04
+2022-09-18 18:42:14,990 INFO [train.py:885] (1/2) Epoch 21, batch 1500, loss[loss=0.2073, simple_loss=0.2864, pruned_loss=0.06412, over 14139.00 frames. utt_duration=636.9 frames, utt_pad_proportion=0.04935, over 89.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3516, pruned_loss=0.105, over 2785098.14 frames. utt_duration=247.2 frames, utt_pad_proportion=0.0714, over 45342.52 utterances.], batch size: 89, lr: 2.26e-04
+2022-09-18 18:42:44,563 INFO [train.py:885] (1/2) Epoch 21, batch 1550, loss[loss=0.4376, simple_loss=0.4682, pruned_loss=0.2035, over 14392.00 frames. utt_duration=275.7 frames, utt_pad_proportion=0.03268, over 210.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3533, pruned_loss=0.1055, over 2789758.38 frames. utt_duration=243.5 frames, utt_pad_proportion=0.06941, over 46110.09 utterances.], batch size: 210, lr: 2.26e-04
+2022-09-18 18:43:14,382 INFO [train.py:885] (1/2) Epoch 21, batch 1600, loss[loss=0.2876, simple_loss=0.3852, pruned_loss=0.09502, over 13609.00 frames. utt_duration=115.3 frames, utt_pad_proportion=0.08456, over 478.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3567, pruned_loss=0.1067, over 2782481.46 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07449, over 48228.59 utterances.], batch size: 478, lr: 2.26e-04
+2022-09-18 18:43:43,852 INFO [train.py:885] (1/2) Epoch 21, batch 1650, loss[loss=0.1741, simple_loss=0.2467, pruned_loss=0.05079, over 13973.00 frames. utt_duration=708.9 frames, utt_pad_proportion=0.06111, over 79.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3549, pruned_loss=0.1058, over 2786003.68 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07128, over 47288.20 utterances.], batch size: 79, lr: 2.26e-04
+2022-09-18 18:44:13,576 INFO [train.py:885] (1/2) Epoch 21, batch 1700, loss[loss=0.3086, simple_loss=0.374, pruned_loss=0.1216, over 14341.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03619, over 210.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.351, pruned_loss=0.1043, over 2780994.36 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07228, over 45642.39 utterances.], batch size: 210, lr: 2.26e-04
+2022-09-18 18:44:42,551 INFO [train.py:885] (1/2) Epoch 21, batch 1750, loss[loss=0.1819, simple_loss=0.2533, pruned_loss=0.0553, over 13992.00 frames. utt_duration=801.2 frames, utt_pad_proportion=0.06513, over 70.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3505, pruned_loss=0.1047, over 2786597.92 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07063, over 44777.59 utterances.], batch size: 70, lr: 2.26e-04
+2022-09-18 18:45:12,009 INFO [train.py:885] (1/2) Epoch 21, batch 1800, loss[loss=0.3452, simple_loss=0.4367, pruned_loss=0.1268, over 13610.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07797, over 560.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3482, pruned_loss=0.1039, over 2785016.69 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06858, over 43491.52 utterances.], batch size: 560, lr: 2.26e-04
+2022-09-18 18:45:42,339 INFO [train.py:885] (1/2) Epoch 21, batch 1850, loss[loss=0.2185, simple_loss=0.2847, pruned_loss=0.07618, over 14112.00 frames. utt_duration=577.3 frames, utt_pad_proportion=0.05209, over 98.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3506, pruned_loss=0.1045, over 2785139.78 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06938, over 44969.67 utterances.], batch size: 98, lr: 2.25e-04
+2022-09-18 18:46:11,061 INFO [train.py:885] (1/2) Epoch 21, batch 1900, loss[loss=0.2886, simple_loss=0.3607, pruned_loss=0.1082, over 14334.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03764, over 226.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3512, pruned_loss=0.1051, over 2791126.80 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06776, over 44718.86 utterances.], batch size: 226, lr: 2.25e-04
+2022-09-18 18:46:41,077 INFO [train.py:885] (1/2) Epoch 21, batch 1950, loss[loss=0.3104, simple_loss=0.3646, pruned_loss=0.1281, over 14323.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03981, over 154.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.354, pruned_loss=0.1062, over 2784759.65 frames. utt_duration=240 frames, utt_pad_proportion=0.07204, over 46699.62 utterances.], batch size: 154, lr: 2.25e-04
+2022-09-18 18:47:10,736 INFO [train.py:885] (1/2) Epoch 21, batch 2000, loss[loss=0.1896, simple_loss=0.2588, pruned_loss=0.06018, over 13939.00 frames. utt_duration=930.8 frames, utt_pad_proportion=0.06452, over 60.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3522, pruned_loss=0.1053, over 2781862.04 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07269, over 46278.88 utterances.], batch size: 60, lr: 2.25e-04
+2022-09-18 18:47:39,949 INFO [train.py:885] (1/2) Epoch 21, batch 2050, loss[loss=0.2509, simple_loss=0.3164, pruned_loss=0.09267, over 14229.00 frames. utt_duration=523.6 frames, utt_pad_proportion=0.041, over 109.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3472, pruned_loss=0.1032, over 2783817.79 frames. utt_duration=255.2 frames, utt_pad_proportion=0.07066, over 43883.26 utterances.], batch size: 109, lr: 2.25e-04
+2022-09-18 18:48:09,571 INFO [train.py:885] (1/2) Epoch 21, batch 2100, loss[loss=0.3361, simple_loss=0.4128, pruned_loss=0.1297, over 13946.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05941, over 365.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3449, pruned_loss=0.1015, over 2780986.79 frames. utt_duration=256.7 frames, utt_pad_proportion=0.07008, over 43586.69 utterances.], batch size: 365, lr: 2.25e-04
+2022-09-18 18:48:38,878 INFO [train.py:885] (1/2) Epoch 21, batch 2150, loss[loss=0.1945, simple_loss=0.2753, pruned_loss=0.05684, over 14177.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04831, over 89.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3465, pruned_loss=0.102, over 2781431.52 frames. utt_duration=254.1 frames, utt_pad_proportion=0.07009, over 44046.70 utterances.], batch size: 89, lr: 2.25e-04
+2022-09-18 18:49:09,105 INFO [train.py:885] (1/2) Epoch 21, batch 2200, loss[loss=0.272, simple_loss=0.3489, pruned_loss=0.09749, over 14338.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03446, over 244.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3505, pruned_loss=0.1035, over 2779896.35 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07359, over 45984.54 utterances.], batch size: 244, lr: 2.25e-04
+2022-09-18 18:49:38,322 INFO [train.py:885] (1/2) Epoch 21, batch 2250, loss[loss=0.3003, simple_loss=0.3705, pruned_loss=0.115, over 14263.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04127, over 225.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3481, pruned_loss=0.1029, over 2778703.26 frames. utt_duration=249 frames, utt_pad_proportion=0.07138, over 44913.63 utterances.], batch size: 225, lr: 2.25e-04
+2022-09-18 18:50:07,723 INFO [train.py:885] (1/2) Epoch 21, batch 2300, loss[loss=0.3264, simple_loss=0.3847, pruned_loss=0.134, over 14341.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03847, over 244.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3515, pruned_loss=0.1054, over 2775454.50 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07205, over 45842.45 utterances.], batch size: 244, lr: 2.25e-04
+2022-09-18 18:50:36,857 INFO [train.py:885] (1/2) Epoch 21, batch 2350, loss[loss=0.3343, simple_loss=0.4399, pruned_loss=0.1144, over 13201.00 frames. utt_duration=82.33 frames, utt_pad_proportion=0.1051, over 653.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3479, pruned_loss=0.1028, over 2776351.12 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07295, over 44917.52 utterances.], batch size: 653, lr: 2.25e-04
+2022-09-18 18:51:13,661 INFO [train.py:885] (1/2) Epoch 21, batch 2400, loss[loss=0.1744, simple_loss=0.2432, pruned_loss=0.0528, over 13862.00 frames. utt_duration=925.6 frames, utt_pad_proportion=0.06978, over 60.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3511, pruned_loss=0.1045, over 2774193.40 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07509, over 46404.80 utterances.], batch size: 60, lr: 2.25e-04
+2022-09-18 18:51:43,799 INFO [train.py:885] (1/2) Epoch 21, batch 2450, loss[loss=0.28, simple_loss=0.3602, pruned_loss=0.09993, over 14297.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04088, over 262.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3532, pruned_loss=0.1054, over 2772204.81 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07476, over 47393.46 utterances.], batch size: 262, lr: 2.25e-04
+2022-09-18 18:52:13,048 INFO [train.py:885] (1/2) Epoch 21, batch 2500, loss[loss=0.5732, simple_loss=0.6467, pruned_loss=0.2498, over 12464.00 frames. utt_duration=63.14 frames, utt_pad_proportion=0.1467, over 810.00 utterances.], tot_loss[loss=0.2843, simple_loss=0.3551, pruned_loss=0.1068, over 2774748.93 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07461, over 47238.80 utterances.], batch size: 810, lr: 2.25e-04
+2022-09-18 18:52:43,129 INFO [train.py:885] (1/2) Epoch 21, batch 2550, loss[loss=0.3917, simple_loss=0.4836, pruned_loss=0.1499, over 13185.00 frames. utt_duration=82.31 frames, utt_pad_proportion=0.1053, over 653.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.353, pruned_loss=0.1051, over 2775316.88 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07507, over 47264.65 utterances.], batch size: 653, lr: 2.25e-04
+2022-09-18 18:53:12,458 INFO [train.py:885] (1/2) Epoch 21, batch 2600, loss[loss=0.385, simple_loss=0.436, pruned_loss=0.1669, over 14214.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04439, over 335.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3502, pruned_loss=0.1038, over 2778309.51 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07242, over 46121.50 utterances.], batch size: 335, lr: 2.25e-04
+2022-09-18 18:53:41,678 INFO [train.py:885] (1/2) Epoch 21, batch 2650, loss[loss=0.2522, simple_loss=0.3272, pruned_loss=0.08861, over 14332.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03903, over 154.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3504, pruned_loss=0.104, over 2776050.92 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07309, over 46059.08 utterances.], batch size: 154, lr: 2.25e-04
+2022-09-18 18:54:11,979 INFO [train.py:885] (1/2) Epoch 21, batch 2700, loss[loss=0.1905, simple_loss=0.2702, pruned_loss=0.05546, over 14237.00 frames. utt_duration=641.4 frames, utt_pad_proportion=0.0456, over 89.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3517, pruned_loss=0.1048, over 2778711.39 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07282, over 46148.24 utterances.], batch size: 89, lr: 2.25e-04
+2022-09-18 18:54:41,215 INFO [train.py:885] (1/2) Epoch 21, batch 2750, loss[loss=0.2355, simple_loss=0.3201, pruned_loss=0.07539, over 14352.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03818, over 167.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.349, pruned_loss=0.1031, over 2781651.51 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07202, over 44874.75 utterances.], batch size: 167, lr: 2.25e-04
+2022-09-18 18:55:10,978 INFO [train.py:885] (1/2) Epoch 21, batch 2800, loss[loss=0.1993, simple_loss=0.2491, pruned_loss=0.0747, over 13567.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08373, over 50.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.349, pruned_loss=0.1031, over 2775492.28 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07348, over 45894.43 utterances.], batch size: 50, lr: 2.25e-04
+2022-09-18 18:55:40,770 INFO [train.py:885] (1/2) Epoch 21, batch 2850, loss[loss=0.3766, simple_loss=0.4747, pruned_loss=0.1393, over 13132.00 frames. utt_duration=81.96 frames, utt_pad_proportion=0.1092, over 653.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.351, pruned_loss=0.1041, over 2775507.28 frames. utt_duration=241.6 frames, utt_pad_proportion=0.0754, over 46238.07 utterances.], batch size: 653, lr: 2.25e-04
+2022-09-18 18:56:10,284 INFO [train.py:885] (1/2) Epoch 21, batch 2900, loss[loss=0.155, simple_loss=0.2204, pruned_loss=0.04481, over 13934.00 frames. utt_duration=930.2 frames, utt_pad_proportion=0.06601, over 60.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3485, pruned_loss=0.1031, over 2774522.65 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07545, over 45341.43 utterances.], batch size: 60, lr: 2.25e-04
+2022-09-18 18:56:39,416 INFO [train.py:885] (1/2) Epoch 21, batch 2950, loss[loss=0.1565, simple_loss=0.2276, pruned_loss=0.04269, over 12075.00 frames. utt_duration=2014 frames, utt_pad_proportion=0.165, over 24.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3476, pruned_loss=0.1025, over 2776931.20 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07451, over 44889.05 utterances.], batch size: 24, lr: 2.25e-04
+2022-09-18 18:57:10,208 INFO [train.py:885] (1/2) Epoch 21, batch 3000, loss[loss=0.334, simple_loss=0.4102, pruned_loss=0.1289, over 14012.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05499, over 365.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3491, pruned_loss=0.1033, over 2776188.55 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07455, over 45672.58 utterances.], batch size: 365, lr: 2.25e-04
+2022-09-18 18:57:10,209 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 18:57:14,360 INFO [train.py:914] (1/2) Epoch 21, validation: loss=0.1978, simple_loss=0.2778, pruned_loss=0.05892, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 18:57:45,466 INFO [train.py:885] (1/2) Epoch 21, batch 3050, loss[loss=0.3033, simple_loss=0.3548, pruned_loss=0.1259, over 14351.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03688, over 120.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3472, pruned_loss=0.1024, over 2781170.11 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07103, over 44690.79 utterances.], batch size: 120, lr: 2.25e-04
+2022-09-18 18:58:15,591 INFO [train.py:885] (1/2) Epoch 21, batch 3100, loss[loss=0.3229, simple_loss=0.3888, pruned_loss=0.1286, over 14383.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03145, over 244.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3474, pruned_loss=0.1031, over 2785283.25 frames. utt_duration=255.6 frames, utt_pad_proportion=0.06707, over 43848.64 utterances.], batch size: 244, lr: 2.25e-04
+2022-09-18 18:58:46,102 INFO [train.py:885] (1/2) Epoch 21, batch 3150, loss[loss=0.3112, simple_loss=0.3769, pruned_loss=0.1227, over 14389.00 frames. utt_duration=275.5 frames, utt_pad_proportion=0.03342, over 210.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3495, pruned_loss=0.1047, over 2781851.67 frames. utt_duration=248 frames, utt_pad_proportion=0.06952, over 45128.72 utterances.], batch size: 210, lr: 2.25e-04
+2022-09-18 18:59:15,378 INFO [train.py:885] (1/2) Epoch 21, batch 3200, loss[loss=0.2686, simple_loss=0.3358, pruned_loss=0.1007, over 14243.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04589, over 141.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3438, pruned_loss=0.1018, over 2782267.33 frames. utt_duration=262.8 frames, utt_pad_proportion=0.06741, over 42590.17 utterances.], batch size: 141, lr: 2.25e-04
+2022-09-18 18:59:45,201 INFO [train.py:885] (1/2) Epoch 21, batch 3250, loss[loss=0.2533, simple_loss=0.3156, pruned_loss=0.09549, over 12104.00 frames. utt_duration=2019 frames, utt_pad_proportion=0.189, over 24.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3435, pruned_loss=0.1012, over 2781504.96 frames. utt_duration=261.5 frames, utt_pad_proportion=0.06642, over 42792.49 utterances.], batch size: 24, lr: 2.25e-04
+2022-09-18 19:00:15,490 INFO [train.py:885] (1/2) Epoch 21, batch 3300, loss[loss=0.1618, simple_loss=0.2133, pruned_loss=0.05518, over 13677.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.0745, over 42.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3453, pruned_loss=0.1021, over 2784421.23 frames. utt_duration=256.8 frames, utt_pad_proportion=0.06653, over 43618.08 utterances.], batch size: 42, lr: 2.25e-04
+2022-09-18 19:00:45,502 INFO [train.py:885] (1/2) Epoch 21, batch 3350, loss[loss=0.1545, simple_loss=0.2124, pruned_loss=0.04831, over 13446.00 frames. utt_duration=1631 frames, utt_pad_proportion=0.09823, over 33.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3466, pruned_loss=0.1028, over 2778138.01 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07014, over 44581.43 utterances.], batch size: 33, lr: 2.25e-04
+2022-09-18 19:01:14,846 INFO [train.py:885] (1/2) Epoch 21, batch 3400, loss[loss=0.2171, simple_loss=0.2967, pruned_loss=0.06876, over 14099.00 frames. utt_duration=807.1 frames, utt_pad_proportion=0.05709, over 70.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3448, pruned_loss=0.1013, over 2783262.75 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06705, over 43501.86 utterances.], batch size: 70, lr: 2.25e-04
+2022-09-18 19:01:44,410 INFO [train.py:885] (1/2) Epoch 21, batch 3450, loss[loss=0.2878, simple_loss=0.363, pruned_loss=0.1063, over 14258.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04117, over 225.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3465, pruned_loss=0.1023, over 2787901.34 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06721, over 43686.28 utterances.], batch size: 225, lr: 2.25e-04
+2022-09-18 19:02:14,924 INFO [train.py:885] (1/2) Epoch 21, batch 3500, loss[loss=0.3268, simple_loss=0.3881, pruned_loss=0.1327, over 14349.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03611, over 210.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3489, pruned_loss=0.1037, over 2782716.96 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06957, over 44561.27 utterances.], batch size: 210, lr: 2.25e-04
+2022-09-18 19:02:45,042 INFO [train.py:885] (1/2) Epoch 21, batch 3550, loss[loss=0.2574, simple_loss=0.3551, pruned_loss=0.07984, over 13962.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05931, over 365.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.351, pruned_loss=0.104, over 2783806.02 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06991, over 45667.85 utterances.], batch size: 365, lr: 2.25e-04
+2022-09-18 19:03:15,037 INFO [train.py:885] (1/2) Epoch 21, batch 3600, loss[loss=0.1917, simple_loss=0.2434, pruned_loss=0.07, over 13446.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.09494, over 50.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.35, pruned_loss=0.1042, over 2778679.34 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06997, over 44919.24 utterances.], batch size: 50, lr: 2.25e-04
+2022-09-18 19:03:45,625 INFO [train.py:885] (1/2) Epoch 21, batch 3650, loss[loss=0.3481, simple_loss=0.4051, pruned_loss=0.1455, over 14225.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04383, over 335.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3505, pruned_loss=0.1041, over 2781376.11 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06937, over 45630.58 utterances.], batch size: 335, lr: 2.25e-04
+2022-09-18 19:04:15,669 INFO [train.py:885] (1/2) Epoch 21, batch 3700, loss[loss=0.2406, simple_loss=0.3047, pruned_loss=0.08827, over 14270.00 frames. utt_duration=642.7 frames, utt_pad_proportion=0.0393, over 89.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3505, pruned_loss=0.104, over 2785363.27 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06796, over 45262.82 utterances.], batch size: 89, lr: 2.25e-04
+2022-09-18 19:04:45,451 INFO [train.py:885] (1/2) Epoch 21, batch 3750, loss[loss=0.1771, simple_loss=0.2278, pruned_loss=0.06322, over 13680.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.07906, over 50.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3516, pruned_loss=0.1044, over 2780608.71 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07066, over 45845.76 utterances.], batch size: 50, lr: 2.25e-04
+2022-09-18 19:05:15,203 INFO [train.py:885] (1/2) Epoch 21, batch 3800, loss[loss=0.6532, simple_loss=0.6995, pruned_loss=0.3034, over 12527.00 frames. utt_duration=63.42 frames, utt_pad_proportion=0.143, over 810.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3519, pruned_loss=0.1052, over 2773949.29 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07356, over 46464.10 utterances.], batch size: 810, lr: 2.25e-04
+2022-09-18 19:05:45,642 INFO [train.py:885] (1/2) Epoch 21, batch 3850, loss[loss=0.2694, simple_loss=0.3441, pruned_loss=0.09736, over 14264.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04462, over 141.00 utterances.], tot_loss[loss=0.2841, simple_loss=0.3552, pruned_loss=0.1065, over 2780159.34 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07249, over 47254.90 utterances.], batch size: 141, lr: 2.25e-04
+2022-09-18 19:06:16,133 INFO [train.py:885] (1/2) Epoch 21, batch 3900, loss[loss=0.4759, simple_loss=0.4947, pruned_loss=0.2286, over 14288.00 frames. utt_duration=171.9 frames, utt_pad_proportion=0.03964, over 335.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3535, pruned_loss=0.1058, over 2776658.96 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07456, over 47412.20 utterances.], batch size: 335, lr: 2.25e-04
+2022-09-18 19:06:45,804 INFO [train.py:885] (1/2) Epoch 21, batch 3950, loss[loss=0.301, simple_loss=0.3692, pruned_loss=0.1164, over 14296.00 frames. utt_duration=294.7 frames, utt_pad_proportion=0.03999, over 195.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3544, pruned_loss=0.1057, over 2780175.43 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07389, over 48116.50 utterances.], batch size: 195, lr: 2.25e-04
+2022-09-18 19:07:15,993 INFO [train.py:885] (1/2) Epoch 21, batch 4000, loss[loss=0.2091, simple_loss=0.2824, pruned_loss=0.06789, over 13849.00 frames. utt_duration=924.9 frames, utt_pad_proportion=0.07144, over 60.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3494, pruned_loss=0.1036, over 2782590.86 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07331, over 45259.83 utterances.], batch size: 60, lr: 2.25e-04
+2022-09-18 19:07:45,656 INFO [train.py:885] (1/2) Epoch 21, batch 4050, loss[loss=0.5092, simple_loss=0.5988, pruned_loss=0.2098, over 12472.00 frames. utt_duration=63.15 frames, utt_pad_proportion=0.1466, over 810.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3481, pruned_loss=0.1036, over 2784627.69 frames. utt_duration=255 frames, utt_pad_proportion=0.07138, over 43939.03 utterances.], batch size: 810, lr: 2.25e-04
+2022-09-18 19:08:15,189 INFO [train.py:885] (1/2) Epoch 21, batch 4100, loss[loss=0.1652, simple_loss=0.2313, pruned_loss=0.04951, over 14038.00 frames. utt_duration=803.5 frames, utt_pad_proportion=0.0602, over 70.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3485, pruned_loss=0.1028, over 2786970.18 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07127, over 44415.42 utterances.], batch size: 70, lr: 2.25e-04
+2022-09-18 19:08:45,020 INFO [train.py:885] (1/2) Epoch 21, batch 4150, loss[loss=0.2355, simple_loss=0.3186, pruned_loss=0.07616, over 14272.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.04065, over 154.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3518, pruned_loss=0.1046, over 2786125.53 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07129, over 45466.53 utterances.], batch size: 154, lr: 2.24e-04
+2022-09-18 19:09:15,135 INFO [train.py:885] (1/2) Epoch 21, batch 4200, loss[loss=0.3487, simple_loss=0.3955, pruned_loss=0.1509, over 14311.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.0412, over 167.00 utterances.], tot_loss[loss=0.2834, simple_loss=0.3542, pruned_loss=0.1063, over 2788618.52 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07089, over 45950.32 utterances.], batch size: 167, lr: 2.24e-04
+2022-09-18 19:09:44,867 INFO [train.py:885] (1/2) Epoch 21, batch 4250, loss[loss=0.3829, simple_loss=0.4745, pruned_loss=0.1457, over 13221.00 frames. utt_duration=82.5 frames, utt_pad_proportion=0.1033, over 653.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3521, pruned_loss=0.1052, over 2787774.31 frames. utt_duration=247 frames, utt_pad_proportion=0.07121, over 45426.33 utterances.], batch size: 653, lr: 2.24e-04
+2022-09-18 19:10:15,013 INFO [train.py:885] (1/2) Epoch 21, batch 4300, loss[loss=0.2813, simple_loss=0.3536, pruned_loss=0.1045, over 14373.00 frames. utt_duration=345.8 frames, utt_pad_proportion=0.03681, over 167.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3527, pruned_loss=0.1056, over 2785934.52 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07245, over 46055.47 utterances.], batch size: 167, lr: 2.24e-04
+2022-09-18 19:10:44,903 INFO [train.py:885] (1/2) Epoch 21, batch 4350, loss[loss=0.2608, simple_loss=0.3289, pruned_loss=0.09639, over 14360.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03821, over 167.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3481, pruned_loss=0.1039, over 2783666.94 frames. utt_duration=254.6 frames, utt_pad_proportion=0.07063, over 43987.10 utterances.], batch size: 167, lr: 2.24e-04
+2022-09-18 19:11:14,940 INFO [train.py:885] (1/2) Epoch 21, batch 4400, loss[loss=0.1946, simple_loss=0.2617, pruned_loss=0.06371, over 13969.00 frames. utt_duration=932.8 frames, utt_pad_proportion=0.06349, over 60.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3513, pruned_loss=0.1061, over 2784166.63 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07053, over 44744.70 utterances.], batch size: 60, lr: 2.24e-04
+2022-09-18 19:11:45,169 INFO [train.py:885] (1/2) Epoch 21, batch 4450, loss[loss=0.167, simple_loss=0.2345, pruned_loss=0.04978, over 13880.00 frames. utt_duration=806.1 frames, utt_pad_proportion=0.06158, over 69.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3539, pruned_loss=0.1065, over 2783127.13 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07248, over 46711.37 utterances.], batch size: 69, lr: 2.24e-04
+2022-09-18 19:12:15,331 INFO [train.py:885] (1/2) Epoch 21, batch 4500, loss[loss=0.5714, simple_loss=0.6175, pruned_loss=0.2626, over 13193.00 frames. utt_duration=82.37 frames, utt_pad_proportion=0.1047, over 653.00 utterances.], tot_loss[loss=0.281, simple_loss=0.352, pruned_loss=0.105, over 2780455.62 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07348, over 46453.12 utterances.], batch size: 653, lr: 2.24e-04
+2022-09-18 19:12:45,771 INFO [train.py:885] (1/2) Epoch 21, batch 4550, loss[loss=0.4489, simple_loss=0.5516, pruned_loss=0.1731, over 12474.00 frames. utt_duration=63.13 frames, utt_pad_proportion=0.1469, over 810.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3491, pruned_loss=0.1027, over 2779533.01 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07412, over 45998.84 utterances.], batch size: 810, lr: 2.24e-04
+2022-09-18 19:13:15,295 INFO [train.py:885] (1/2) Epoch 21, batch 4600, loss[loss=0.2486, simple_loss=0.3166, pruned_loss=0.09031, over 14099.00 frames. utt_duration=576.8 frames, utt_pad_proportion=0.0529, over 98.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.349, pruned_loss=0.1034, over 2779377.43 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07291, over 45387.70 utterances.], batch size: 98, lr: 2.24e-04
+2022-09-18 19:13:45,428 INFO [train.py:885] (1/2) Epoch 21, batch 4650, loss[loss=0.1901, simple_loss=0.2614, pruned_loss=0.05938, over 13822.00 frames. utt_duration=923 frames, utt_pad_proportion=0.07233, over 60.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3533, pruned_loss=0.1058, over 2777907.35 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07527, over 47393.75 utterances.], batch size: 60, lr: 2.24e-04
+2022-09-18 19:14:15,117 INFO [train.py:885] (1/2) Epoch 21, batch 4700, loss[loss=0.335, simple_loss=0.397, pruned_loss=0.1365, over 14222.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04328, over 306.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3516, pruned_loss=0.1051, over 2782172.97 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07276, over 45806.56 utterances.], batch size: 306, lr: 2.24e-04
+2022-09-18 19:14:44,829 INFO [train.py:885] (1/2) Epoch 21, batch 4750, loss[loss=0.202, simple_loss=0.2501, pruned_loss=0.07692, over 13005.00 frames. utt_duration=2002 frames, utt_pad_proportion=0.1294, over 26.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3482, pruned_loss=0.1034, over 2783525.28 frames. utt_duration=255.2 frames, utt_pad_proportion=0.07167, over 43887.04 utterances.], batch size: 26, lr: 2.24e-04
+2022-09-18 19:15:15,192 INFO [train.py:885] (1/2) Epoch 21, batch 4800, loss[loss=0.2845, simple_loss=0.3576, pruned_loss=0.1057, over 14243.00 frames. utt_duration=318 frames, utt_pad_proportion=0.04227, over 180.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3504, pruned_loss=0.1048, over 2780416.14 frames. utt_duration=252 frames, utt_pad_proportion=0.07152, over 44389.35 utterances.], batch size: 180, lr: 2.24e-04
+2022-09-18 19:15:44,832 INFO [train.py:885] (1/2) Epoch 21, batch 4850, loss[loss=0.2886, simple_loss=0.3601, pruned_loss=0.1086, over 14389.00 frames. utt_duration=444.2 frames, utt_pad_proportion=0.03214, over 130.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.35, pruned_loss=0.1046, over 2787540.50 frames. utt_duration=257.8 frames, utt_pad_proportion=0.06871, over 43505.13 utterances.], batch size: 130, lr: 2.24e-04
+2022-09-18 19:16:15,186 INFO [train.py:885] (1/2) Epoch 21, batch 4900, loss[loss=0.3819, simple_loss=0.4281, pruned_loss=0.1679, over 14245.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04324, over 335.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3512, pruned_loss=0.1052, over 2786815.36 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06894, over 43900.23 utterances.], batch size: 335, lr: 2.24e-04
+2022-09-18 19:16:44,396 INFO [train.py:885] (1/2) Epoch 21, batch 4950, loss[loss=0.2474, simple_loss=0.319, pruned_loss=0.08785, over 14179.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04416, over 109.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3515, pruned_loss=0.1056, over 2789016.30 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06827, over 44314.29 utterances.], batch size: 109, lr: 2.24e-04
+2022-09-18 19:17:14,730 INFO [train.py:885] (1/2) Epoch 21, batch 5000, loss[loss=0.3317, simple_loss=0.4305, pruned_loss=0.1164, over 13612.00 frames. utt_duration=98.6 frames, utt_pad_proportion=0.07847, over 560.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3519, pruned_loss=0.1062, over 2784969.73 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06964, over 44841.91 utterances.], batch size: 560, lr: 2.24e-04
+2022-09-18 19:17:45,354 INFO [train.py:885] (1/2) Epoch 21, batch 5050, loss[loss=0.2328, simple_loss=0.305, pruned_loss=0.08027, over 14346.00 frames. utt_duration=442.9 frames, utt_pad_proportion=0.03716, over 130.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3504, pruned_loss=0.1052, over 2780751.16 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07029, over 44916.53 utterances.], batch size: 130, lr: 2.24e-04
+2022-09-18 19:18:15,147 INFO [train.py:885] (1/2) Epoch 21, batch 5100, loss[loss=0.3064, simple_loss=0.3701, pruned_loss=0.1213, over 14361.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03292, over 244.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3527, pruned_loss=0.1063, over 2778868.50 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07167, over 46081.69 utterances.], batch size: 244, lr: 2.24e-04
+2022-09-18 19:18:45,266 INFO [train.py:885] (1/2) Epoch 21, batch 5150, loss[loss=0.3192, simple_loss=0.4123, pruned_loss=0.113, over 13601.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08304, over 477.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3525, pruned_loss=0.1058, over 2774751.02 frames. utt_duration=238.8 frames, utt_pad_proportion=0.0733, over 46776.57 utterances.], batch size: 477, lr: 2.24e-04
+2022-09-18 19:19:14,471 INFO [train.py:885] (1/2) Epoch 21, batch 5200, loss[loss=0.187, simple_loss=0.2349, pruned_loss=0.06953, over 12892.00 frames. utt_duration=1564 frames, utt_pad_proportion=0.1227, over 33.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3538, pruned_loss=0.1069, over 2775073.97 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07369, over 47376.21 utterances.], batch size: 33, lr: 2.24e-04
+2022-09-18 19:19:45,269 INFO [train.py:885] (1/2) Epoch 21, batch 5250, loss[loss=0.2259, simple_loss=0.3064, pruned_loss=0.07266, over 14333.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03906, over 154.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3536, pruned_loss=0.1065, over 2771571.33 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07455, over 47717.18 utterances.], batch size: 154, lr: 2.24e-04
+2022-09-18 19:20:15,402 INFO [train.py:885] (1/2) Epoch 21, batch 5300, loss[loss=0.1722, simple_loss=0.2325, pruned_loss=0.05597, over 13849.00 frames. utt_duration=924.8 frames, utt_pad_proportion=0.07057, over 60.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3539, pruned_loss=0.1066, over 2773957.98 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07535, over 48033.34 utterances.], batch size: 60, lr: 2.24e-04
+2022-09-18 19:20:45,593 INFO [train.py:885] (1/2) Epoch 21, batch 5350, loss[loss=0.2453, simple_loss=0.3137, pruned_loss=0.08847, over 13832.00 frames. utt_duration=923.5 frames, utt_pad_proportion=0.07276, over 60.00 utterances.], tot_loss[loss=0.2861, simple_loss=0.3571, pruned_loss=0.1076, over 2775998.55 frames. utt_duration=226.2 frames, utt_pad_proportion=0.07552, over 49418.45 utterances.], batch size: 60, lr: 2.24e-04
+2022-09-18 19:21:15,653 INFO [train.py:885] (1/2) Epoch 21, batch 5400, loss[loss=0.1854, simple_loss=0.2532, pruned_loss=0.05882, over 13792.00 frames. utt_duration=921.2 frames, utt_pad_proportion=0.07417, over 60.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.356, pruned_loss=0.1067, over 2772560.23 frames. utt_duration=227.1 frames, utt_pad_proportion=0.0752, over 49146.18 utterances.], batch size: 60, lr: 2.24e-04
+2022-09-18 19:21:45,548 INFO [train.py:885] (1/2) Epoch 21, batch 5450, loss[loss=0.1946, simple_loss=0.2579, pruned_loss=0.06568, over 13838.00 frames. utt_duration=1319 frames, utt_pad_proportion=0.0715, over 42.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3558, pruned_loss=0.1077, over 2773815.97 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07318, over 47858.99 utterances.], batch size: 42, lr: 2.24e-04
+2022-09-18 19:22:14,850 INFO [train.py:885] (1/2) Epoch 21, batch 5500, loss[loss=0.2918, simple_loss=0.3597, pruned_loss=0.112, over 14314.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03737, over 180.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3512, pruned_loss=0.1054, over 2778728.55 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06993, over 44870.28 utterances.], batch size: 180, lr: 2.24e-04
+2022-09-18 19:22:44,996 INFO [train.py:885] (1/2) Epoch 21, batch 5550, loss[loss=0.3545, simple_loss=0.406, pruned_loss=0.1515, over 14228.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04359, over 335.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3536, pruned_loss=0.1069, over 2780440.58 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06989, over 45607.50 utterances.], batch size: 335, lr: 2.24e-04
+2022-09-18 19:23:14,108 INFO [train.py:885] (1/2) Epoch 21, batch 5600, loss[loss=0.2025, simple_loss=0.285, pruned_loss=0.05997, over 13605.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08333, over 50.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3539, pruned_loss=0.1075, over 2782249.82 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06962, over 45119.90 utterances.], batch size: 50, lr: 2.24e-04
+2022-09-18 19:23:43,637 INFO [train.py:885] (1/2) Epoch 21, batch 5650, loss[loss=0.4871, simple_loss=0.5769, pruned_loss=0.1986, over 12560.00 frames. utt_duration=63.48 frames, utt_pad_proportion=0.1421, over 811.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3544, pruned_loss=0.1079, over 2778009.27 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07132, over 45407.13 utterances.], batch size: 811, lr: 2.24e-04
+2022-09-18 19:24:12,760 INFO [train.py:885] (1/2) Epoch 21, batch 5700, loss[loss=0.2787, simple_loss=0.346, pruned_loss=0.1057, over 14435.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.03327, over 155.00 utterances.], tot_loss[loss=0.287, simple_loss=0.3555, pruned_loss=0.1093, over 2778416.80 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07237, over 45620.44 utterances.], batch size: 155, lr: 2.24e-04
+2022-09-18 19:24:42,936 INFO [train.py:885] (1/2) Epoch 21, batch 5750, loss[loss=0.2214, simple_loss=0.2735, pruned_loss=0.08467, over 12799.00 frames. utt_duration=2049 frames, utt_pad_proportion=0.1338, over 25.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3527, pruned_loss=0.1075, over 2780816.23 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06906, over 44865.11 utterances.], batch size: 25, lr: 2.24e-04
+2022-09-18 19:25:12,509 INFO [train.py:885] (1/2) Epoch 21, batch 5800, loss[loss=0.3585, simple_loss=0.4485, pruned_loss=0.1343, over 13573.00 frames. utt_duration=98.22 frames, utt_pad_proportion=0.08209, over 560.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3512, pruned_loss=0.1065, over 2784338.53 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06722, over 44324.65 utterances.], batch size: 560, lr: 2.24e-04
+2022-09-18 19:25:42,593 INFO [train.py:885] (1/2) Epoch 21, batch 5850, loss[loss=0.2133, simple_loss=0.2705, pruned_loss=0.07805, over 14022.00 frames. utt_duration=711.5 frames, utt_pad_proportion=0.05636, over 79.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3484, pruned_loss=0.104, over 2784963.31 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06693, over 43331.53 utterances.], batch size: 79, lr: 2.24e-04
+2022-09-18 19:26:11,763 INFO [train.py:885] (1/2) Epoch 21, batch 5900, loss[loss=0.3223, simple_loss=0.4008, pruned_loss=0.1219, over 13987.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05658, over 365.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3499, pruned_loss=0.1045, over 2784176.43 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06955, over 44540.11 utterances.], batch size: 365, lr: 2.24e-04
+2022-09-18 19:26:41,384 INFO [train.py:885] (1/2) Epoch 21, batch 5950, loss[loss=0.1656, simple_loss=0.2181, pruned_loss=0.05655, over 12332.00 frames. utt_duration=2057 frames, utt_pad_proportion=0.1699, over 24.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3515, pruned_loss=0.1056, over 2787658.61 frames. utt_duration=250 frames, utt_pad_proportion=0.06951, over 44864.13 utterances.], batch size: 24, lr: 2.24e-04
+2022-09-18 19:27:10,820 INFO [train.py:885] (1/2) Epoch 21, batch 6000, loss[loss=0.2799, simple_loss=0.3857, pruned_loss=0.0871, over 13684.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07773, over 477.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3524, pruned_loss=0.1063, over 2786861.53 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07054, over 45419.80 utterances.], batch size: 477, lr: 2.24e-04
+2022-09-18 19:27:10,821 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 19:27:15,899 INFO [train.py:914] (1/2) Epoch 21, validation: loss=0.1914, simple_loss=0.2696, pruned_loss=0.05659, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 19:27:45,498 INFO [train.py:885] (1/2) Epoch 21, batch 6050, loss[loss=0.1758, simple_loss=0.2391, pruned_loss=0.05625, over 12286.00 frames. utt_duration=2049 frames, utt_pad_proportion=0.18, over 24.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3524, pruned_loss=0.1062, over 2781073.60 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07289, over 46152.18 utterances.], batch size: 24, lr: 2.24e-04
+2022-09-18 19:28:14,930 INFO [train.py:885] (1/2) Epoch 21, batch 6100, loss[loss=0.227, simple_loss=0.2983, pruned_loss=0.07784, over 14177.00 frames. utt_duration=638.5 frames, utt_pad_proportion=0.04841, over 89.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3498, pruned_loss=0.1046, over 2780757.31 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07175, over 45430.91 utterances.], batch size: 89, lr: 2.24e-04
+2022-09-18 19:28:44,410 INFO [train.py:885] (1/2) Epoch 21, batch 6150, loss[loss=0.4916, simple_loss=0.5805, pruned_loss=0.2014, over 12404.00 frames. utt_duration=62.88 frames, utt_pad_proportion=0.1503, over 810.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3515, pruned_loss=0.1052, over 2778544.60 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07414, over 45892.64 utterances.], batch size: 810, lr: 2.24e-04
+2022-09-18 19:29:13,994 INFO [train.py:885] (1/2) Epoch 21, batch 6200, loss[loss=0.2235, simple_loss=0.2803, pruned_loss=0.08334, over 14227.00 frames. utt_duration=641.1 frames, utt_pad_proportion=0.04456, over 89.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3516, pruned_loss=0.1054, over 2777578.87 frames. utt_duration=244 frames, utt_pad_proportion=0.07331, over 45803.71 utterances.], batch size: 89, lr: 2.24e-04
+2022-09-18 19:29:43,278 INFO [train.py:885] (1/2) Epoch 21, batch 6250, loss[loss=0.2662, simple_loss=0.3295, pruned_loss=0.1014, over 14027.00 frames. utt_duration=574.2 frames, utt_pad_proportion=0.0572, over 98.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3519, pruned_loss=0.1058, over 2776610.52 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07274, over 45361.23 utterances.], batch size: 98, lr: 2.24e-04
+2022-09-18 19:30:12,936 INFO [train.py:885] (1/2) Epoch 21, batch 6300, loss[loss=0.27, simple_loss=0.3386, pruned_loss=0.1007, over 14299.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04121, over 154.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3518, pruned_loss=0.1058, over 2778217.33 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07255, over 45181.54 utterances.], batch size: 154, lr: 2.24e-04
+2022-09-18 19:30:42,350 INFO [train.py:885] (1/2) Epoch 21, batch 6350, loss[loss=0.2979, simple_loss=0.3714, pruned_loss=0.1122, over 14307.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03965, over 283.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3532, pruned_loss=0.107, over 2780543.70 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07158, over 45099.45 utterances.], batch size: 283, lr: 2.24e-04
+2022-09-18 19:31:11,672 INFO [train.py:885] (1/2) Epoch 21, batch 6400, loss[loss=0.2206, simple_loss=0.2691, pruned_loss=0.08605, over 13884.00 frames. utt_duration=927.1 frames, utt_pad_proportion=0.06822, over 60.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3529, pruned_loss=0.1068, over 2782603.96 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07039, over 44841.40 utterances.], batch size: 60, lr: 2.24e-04
+2022-09-18 19:31:41,834 INFO [train.py:885] (1/2) Epoch 21, batch 6450, loss[loss=0.1862, simple_loss=0.2436, pruned_loss=0.06439, over 13742.00 frames. utt_duration=798.1 frames, utt_pad_proportion=0.07091, over 69.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3504, pruned_loss=0.1049, over 2778248.70 frames. utt_duration=251.3 frames, utt_pad_proportion=0.07265, over 44489.50 utterances.], batch size: 69, lr: 2.23e-04
+2022-09-18 19:32:10,998 INFO [train.py:885] (1/2) Epoch 21, batch 6500, loss[loss=0.2464, simple_loss=0.3233, pruned_loss=0.0847, over 14265.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04446, over 141.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3472, pruned_loss=0.1031, over 2777556.53 frames. utt_duration=254.1 frames, utt_pad_proportion=0.07181, over 43985.50 utterances.], batch size: 141, lr: 2.23e-04
+2022-09-18 19:32:40,344 INFO [train.py:885] (1/2) Epoch 21, batch 6550, loss[loss=0.3052, simple_loss=0.3743, pruned_loss=0.118, over 14266.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.0411, over 180.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3453, pruned_loss=0.1028, over 2777774.48 frames. utt_duration=255.8 frames, utt_pad_proportion=0.07094, over 43688.85 utterances.], batch size: 180, lr: 2.23e-04
+2022-09-18 19:33:16,690 INFO [train.py:885] (1/2) Epoch 21, batch 6600, loss[loss=0.2364, simple_loss=0.317, pruned_loss=0.07791, over 14266.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04412, over 141.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3447, pruned_loss=0.1021, over 2784040.29 frames. utt_duration=260 frames, utt_pad_proportion=0.0692, over 43071.97 utterances.], batch size: 141, lr: 2.23e-04
+2022-09-18 19:33:45,961 INFO [train.py:885] (1/2) Epoch 21, batch 6650, loss[loss=0.1575, simple_loss=0.2278, pruned_loss=0.04356, over 13327.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08908, over 41.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3415, pruned_loss=0.1002, over 2785001.30 frames. utt_duration=269.9 frames, utt_pad_proportion=0.06837, over 41494.70 utterances.], batch size: 41, lr: 2.23e-04
+2022-09-18 19:34:15,837 INFO [train.py:885] (1/2) Epoch 21, batch 6700, loss[loss=0.2735, simple_loss=0.3773, pruned_loss=0.08481, over 13765.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07174, over 411.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3446, pruned_loss=0.1013, over 2785432.56 frames. utt_duration=261.4 frames, utt_pad_proportion=0.06892, over 42866.78 utterances.], batch size: 411, lr: 2.23e-04
+2022-09-18 19:34:44,873 INFO [train.py:885] (1/2) Epoch 21, batch 6750, loss[loss=0.3566, simple_loss=0.405, pruned_loss=0.1541, over 14347.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03788, over 244.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3444, pruned_loss=0.1021, over 2785643.85 frames. utt_duration=263.6 frames, utt_pad_proportion=0.06763, over 42508.48 utterances.], batch size: 244, lr: 2.23e-04
+2022-09-18 19:35:14,604 INFO [train.py:885] (1/2) Epoch 21, batch 6800, loss[loss=0.2109, simple_loss=0.2712, pruned_loss=0.07535, over 13790.00 frames. utt_duration=920.8 frames, utt_pad_proportion=0.06618, over 60.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3477, pruned_loss=0.1033, over 2782447.20 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07134, over 43999.79 utterances.], batch size: 60, lr: 2.23e-04
+2022-09-18 19:35:44,424 INFO [train.py:885] (1/2) Epoch 21, batch 6850, loss[loss=0.3383, simple_loss=0.4, pruned_loss=0.1383, over 14224.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04371, over 335.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3464, pruned_loss=0.1031, over 2785824.67 frames. utt_duration=260.7 frames, utt_pad_proportion=0.06918, over 42987.47 utterances.], batch size: 335, lr: 2.23e-04
+2022-09-18 19:36:14,091 INFO [train.py:885] (1/2) Epoch 21, batch 6900, loss[loss=0.2437, simple_loss=0.3319, pruned_loss=0.07776, over 14301.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03922, over 180.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3467, pruned_loss=0.1027, over 2786017.59 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06948, over 43584.68 utterances.], batch size: 180, lr: 2.23e-04
+2022-09-18 19:36:43,188 INFO [train.py:885] (1/2) Epoch 21, batch 6950, loss[loss=0.2995, simple_loss=0.3704, pruned_loss=0.1143, over 14329.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.0375, over 226.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3465, pruned_loss=0.1027, over 2785301.52 frames. utt_duration=255.7 frames, utt_pad_proportion=0.07027, over 43827.51 utterances.], batch size: 226, lr: 2.23e-04
+2022-09-18 19:37:13,088 INFO [train.py:885] (1/2) Epoch 21, batch 7000, loss[loss=0.2234, simple_loss=0.2657, pruned_loss=0.09056, over 13522.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08721, over 50.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3487, pruned_loss=0.1035, over 2782962.55 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07216, over 44727.63 utterances.], batch size: 50, lr: 2.23e-04
+2022-09-18 19:37:41,955 INFO [train.py:885] (1/2) Epoch 21, batch 7050, loss[loss=0.2147, simple_loss=0.2837, pruned_loss=0.07286, over 14112.00 frames. utt_duration=577.6 frames, utt_pad_proportion=0.05309, over 98.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3479, pruned_loss=0.103, over 2780850.87 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07332, over 45002.48 utterances.], batch size: 98, lr: 2.23e-04
+2022-09-18 19:38:11,654 INFO [train.py:885] (1/2) Epoch 21, batch 7100, loss[loss=0.3497, simple_loss=0.4232, pruned_loss=0.1381, over 13998.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05556, over 365.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3508, pruned_loss=0.1043, over 2780147.64 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07373, over 46386.50 utterances.], batch size: 365, lr: 2.23e-04
+2022-09-18 19:38:41,350 INFO [train.py:885] (1/2) Epoch 21, batch 7150, loss[loss=0.2097, simple_loss=0.2836, pruned_loss=0.06791, over 14333.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03573, over 120.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3508, pruned_loss=0.1042, over 2782985.25 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07263, over 46026.90 utterances.], batch size: 120, lr: 2.23e-04
+2022-09-18 19:39:10,358 INFO [train.py:885] (1/2) Epoch 21, batch 7200, loss[loss=0.3126, simple_loss=0.3817, pruned_loss=0.1218, over 14319.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03829, over 195.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3486, pruned_loss=0.1028, over 2786181.52 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06993, over 45100.66 utterances.], batch size: 195, lr: 2.23e-04
+2022-09-18 19:39:39,947 INFO [train.py:885] (1/2) Epoch 21, batch 7250, loss[loss=0.1973, simple_loss=0.2686, pruned_loss=0.06297, over 13513.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.0874, over 50.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3465, pruned_loss=0.1024, over 2781227.07 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06904, over 43865.44 utterances.], batch size: 50, lr: 2.23e-04
+2022-09-18 19:40:09,429 INFO [train.py:885] (1/2) Epoch 21, batch 7300, loss[loss=0.4449, simple_loss=0.4986, pruned_loss=0.1956, over 13783.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07076, over 411.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3486, pruned_loss=0.1043, over 2781251.50 frames. utt_duration=254 frames, utt_pad_proportion=0.06955, over 44056.20 utterances.], batch size: 411, lr: 2.23e-04
+2022-09-18 19:40:38,967 INFO [train.py:885] (1/2) Epoch 21, batch 7350, loss[loss=0.2519, simple_loss=0.3021, pruned_loss=0.1008, over 13971.00 frames. utt_duration=811.4 frames, utt_pad_proportion=0.05544, over 69.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.35, pruned_loss=0.1055, over 2782459.64 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06826, over 44017.86 utterances.], batch size: 69, lr: 2.23e-04
+2022-09-18 19:41:08,584 INFO [train.py:885] (1/2) Epoch 21, batch 7400, loss[loss=0.2238, simple_loss=0.2916, pruned_loss=0.07802, over 14151.00 frames. utt_duration=520.8 frames, utt_pad_proportion=0.04616, over 109.00 utterances.], tot_loss[loss=0.28, simple_loss=0.35, pruned_loss=0.105, over 2780310.25 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07022, over 45123.58 utterances.], batch size: 109, lr: 2.23e-04
+2022-09-18 19:41:38,048 INFO [train.py:885] (1/2) Epoch 21, batch 7450, loss[loss=0.2105, simple_loss=0.2778, pruned_loss=0.07155, over 13865.00 frames. utt_duration=805.2 frames, utt_pad_proportion=0.06268, over 69.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3522, pruned_loss=0.1061, over 2781854.70 frames. utt_duration=244.2 frames, utt_pad_proportion=0.0686, over 45852.20 utterances.], batch size: 69, lr: 2.23e-04
+2022-09-18 19:42:07,407 INFO [train.py:885] (1/2) Epoch 21, batch 7500, loss[loss=0.1618, simple_loss=0.2339, pruned_loss=0.04485, over 13847.00 frames. utt_duration=924.6 frames, utt_pad_proportion=0.07169, over 60.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3527, pruned_loss=0.1057, over 2779163.77 frames. utt_duration=240.2 frames, utt_pad_proportion=0.0691, over 46562.23 utterances.], batch size: 60, lr: 2.23e-04
+2022-09-18 19:42:37,215 INFO [train.py:885] (1/2) Epoch 21, batch 7550, loss[loss=0.1723, simple_loss=0.2389, pruned_loss=0.05289, over 13605.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08429, over 50.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3528, pruned_loss=0.1062, over 2779711.55 frames. utt_duration=240.5 frames, utt_pad_proportion=0.0695, over 46512.13 utterances.], batch size: 50, lr: 2.23e-04
+2022-09-18 19:43:07,171 INFO [train.py:885] (1/2) Epoch 21, batch 7600, loss[loss=0.1973, simple_loss=0.2773, pruned_loss=0.05862, over 14025.00 frames. utt_duration=574 frames, utt_pad_proportion=0.05749, over 98.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3535, pruned_loss=0.1064, over 2775521.43 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07061, over 46781.85 utterances.], batch size: 98, lr: 2.23e-04
+2022-09-18 19:43:36,880 INFO [train.py:885] (1/2) Epoch 21, batch 7650, loss[loss=0.3475, simple_loss=0.3958, pruned_loss=0.1496, over 14314.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03922, over 283.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3519, pruned_loss=0.1057, over 2779006.38 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07169, over 46419.70 utterances.], batch size: 283, lr: 2.23e-04
+2022-09-18 19:44:07,405 INFO [train.py:885] (1/2) Epoch 21, batch 7700, loss[loss=0.266, simple_loss=0.3393, pruned_loss=0.09632, over 14277.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03995, over 225.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3544, pruned_loss=0.1064, over 2783440.71 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07175, over 47526.72 utterances.], batch size: 225, lr: 2.23e-04
+2022-09-18 19:44:36,876 INFO [train.py:885] (1/2) Epoch 21, batch 7750, loss[loss=0.3034, simple_loss=0.4082, pruned_loss=0.09932, over 13660.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07887, over 477.00 utterances.], tot_loss[loss=0.282, simple_loss=0.353, pruned_loss=0.1055, over 2780450.77 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07269, over 47844.27 utterances.], batch size: 477, lr: 2.23e-04
+2022-09-18 19:45:05,984 INFO [train.py:885] (1/2) Epoch 21, batch 7800, loss[loss=0.2487, simple_loss=0.311, pruned_loss=0.09321, over 14210.00 frames. utt_duration=522.9 frames, utt_pad_proportion=0.04229, over 109.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.348, pruned_loss=0.1036, over 2784269.89 frames. utt_duration=246 frames, utt_pad_proportion=0.06986, over 45537.39 utterances.], batch size: 109, lr: 2.23e-04
+2022-09-18 19:45:35,777 INFO [train.py:885] (1/2) Epoch 21, batch 7850, loss[loss=0.3207, simple_loss=0.424, pruned_loss=0.1087, over 13575.00 frames. utt_duration=98.43 frames, utt_pad_proportion=0.08012, over 560.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.352, pruned_loss=0.1068, over 2786590.56 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06969, over 45717.68 utterances.], batch size: 560, lr: 2.23e-04
+2022-09-18 19:46:05,913 INFO [train.py:885] (1/2) Epoch 21, batch 7900, loss[loss=0.1747, simple_loss=0.2342, pruned_loss=0.05765, over 13762.00 frames. utt_duration=918.9 frames, utt_pad_proportion=0.07648, over 60.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3527, pruned_loss=0.1074, over 2784033.44 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07025, over 45762.90 utterances.], batch size: 60, lr: 2.23e-04
+2022-09-18 19:46:35,650 INFO [train.py:885] (1/2) Epoch 21, batch 7950, loss[loss=0.2767, simple_loss=0.3522, pruned_loss=0.1006, over 14274.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.0404, over 225.00 utterances.], tot_loss[loss=0.284, simple_loss=0.3536, pruned_loss=0.1072, over 2785004.65 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07018, over 46203.05 utterances.], batch size: 225, lr: 2.23e-04
+2022-09-18 19:47:04,876 INFO [train.py:885] (1/2) Epoch 21, batch 8000, loss[loss=0.3067, simple_loss=0.4093, pruned_loss=0.1021, over 13661.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07966, over 477.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.35, pruned_loss=0.1045, over 2784936.88 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06953, over 45990.08 utterances.], batch size: 477, lr: 2.23e-04
+2022-09-18 19:47:34,493 INFO [train.py:885] (1/2) Epoch 21, batch 8050, loss[loss=0.3324, simple_loss=0.4301, pruned_loss=0.1174, over 13624.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.07702, over 560.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3527, pruned_loss=0.1059, over 2787413.47 frames. utt_duration=240.4 frames, utt_pad_proportion=0.06727, over 46672.46 utterances.], batch size: 560, lr: 2.23e-04
+2022-09-18 19:48:04,224 INFO [train.py:885] (1/2) Epoch 21, batch 8100, loss[loss=0.5348, simple_loss=0.596, pruned_loss=0.2368, over 13091.00 frames. utt_duration=81.7 frames, utt_pad_proportion=0.112, over 653.00 utterances.], tot_loss[loss=0.2868, simple_loss=0.3572, pruned_loss=0.1082, over 2779300.18 frames. utt_duration=229.7 frames, utt_pad_proportion=0.07357, over 48718.66 utterances.], batch size: 653, lr: 2.23e-04
+2022-09-18 19:48:33,016 INFO [train.py:885] (1/2) Epoch 21, batch 8150, loss[loss=0.3969, simple_loss=0.4359, pruned_loss=0.1789, over 14265.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04074, over 225.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3547, pruned_loss=0.1073, over 2780388.02 frames. utt_duration=236.5 frames, utt_pad_proportion=0.0725, over 47324.48 utterances.], batch size: 225, lr: 2.23e-04
+2022-09-18 19:49:02,870 INFO [train.py:885] (1/2) Epoch 21, batch 8200, loss[loss=0.2762, simple_loss=0.3388, pruned_loss=0.1067, over 14251.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.04425, over 154.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3553, pruned_loss=0.107, over 2784423.50 frames. utt_duration=233.7 frames, utt_pad_proportion=0.0718, over 47953.71 utterances.], batch size: 154, lr: 2.23e-04
+2022-09-18 19:49:32,151 INFO [train.py:885] (1/2) Epoch 21, batch 8250, loss[loss=0.4108, simple_loss=0.4536, pruned_loss=0.184, over 14180.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04575, over 306.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3527, pruned_loss=0.1053, over 2776950.33 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07378, over 47336.03 utterances.], batch size: 306, lr: 2.23e-04
+2022-09-18 19:50:01,818 INFO [train.py:885] (1/2) Epoch 21, batch 8300, loss[loss=0.3821, simple_loss=0.4256, pruned_loss=0.1693, over 14226.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04368, over 335.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3534, pruned_loss=0.1063, over 2778102.59 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07337, over 47164.46 utterances.], batch size: 335, lr: 2.23e-04
+2022-09-18 19:50:31,232 INFO [train.py:885] (1/2) Epoch 21, batch 8350, loss[loss=0.25, simple_loss=0.3206, pruned_loss=0.0897, over 14225.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04731, over 141.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.352, pruned_loss=0.1061, over 2781528.71 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07102, over 46222.44 utterances.], batch size: 141, lr: 2.23e-04
+2022-09-18 19:51:01,081 INFO [train.py:885] (1/2) Epoch 21, batch 8400, loss[loss=0.2271, simple_loss=0.2951, pruned_loss=0.07959, over 14070.00 frames. utt_duration=575.9 frames, utt_pad_proportion=0.05272, over 98.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3507, pruned_loss=0.1053, over 2780173.81 frames. utt_duration=243 frames, utt_pad_proportion=0.07115, over 46047.46 utterances.], batch size: 98, lr: 2.23e-04
+2022-09-18 19:51:30,201 INFO [train.py:885] (1/2) Epoch 21, batch 8450, loss[loss=0.3354, simple_loss=0.4022, pruned_loss=0.1343, over 14243.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04269, over 225.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3496, pruned_loss=0.1052, over 2779824.31 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07064, over 45622.78 utterances.], batch size: 225, lr: 2.23e-04
+2022-09-18 19:51:59,790 INFO [train.py:885] (1/2) Epoch 21, batch 8500, loss[loss=0.2689, simple_loss=0.3491, pruned_loss=0.09432, over 14297.00 frames. utt_duration=294.8 frames, utt_pad_proportion=0.03959, over 195.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3493, pruned_loss=0.1045, over 2784001.22 frames. utt_duration=249.9 frames, utt_pad_proportion=0.0683, over 44816.67 utterances.], batch size: 195, lr: 2.23e-04
+2022-09-18 19:52:28,692 INFO [train.py:885] (1/2) Epoch 21, batch 8550, loss[loss=0.2493, simple_loss=0.325, pruned_loss=0.08683, over 14266.00 frames. utt_duration=440.2 frames, utt_pad_proportion=0.04086, over 130.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3529, pruned_loss=0.1066, over 2781600.67 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07073, over 45706.65 utterances.], batch size: 130, lr: 2.23e-04
+2022-09-18 19:52:58,555 INFO [train.py:885] (1/2) Epoch 21, batch 8600, loss[loss=0.2891, simple_loss=0.3617, pruned_loss=0.1083, over 14312.00 frames. utt_duration=255.9 frames, utt_pad_proportion=0.03791, over 225.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3548, pruned_loss=0.1077, over 2775458.16 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07349, over 46393.01 utterances.], batch size: 225, lr: 2.23e-04
+2022-09-18 19:53:27,745 INFO [train.py:885] (1/2) Epoch 21, batch 8650, loss[loss=0.3031, simple_loss=0.361, pruned_loss=0.1226, over 14231.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04664, over 141.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3504, pruned_loss=0.1052, over 2774782.91 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07158, over 44965.24 utterances.], batch size: 141, lr: 2.23e-04
+2022-09-18 19:53:57,761 INFO [train.py:885] (1/2) Epoch 21, batch 8700, loss[loss=0.2238, simple_loss=0.2983, pruned_loss=0.07464, over 13991.00 frames. utt_duration=709.9 frames, utt_pad_proportion=0.05967, over 79.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3495, pruned_loss=0.1044, over 2776968.12 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06956, over 44640.26 utterances.], batch size: 79, lr: 2.23e-04
+2022-09-18 19:54:26,532 INFO [train.py:885] (1/2) Epoch 21, batch 8750, loss[loss=0.3064, simple_loss=0.3739, pruned_loss=0.1194, over 14297.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03975, over 283.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3534, pruned_loss=0.1064, over 2785618.03 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06781, over 45587.93 utterances.], batch size: 283, lr: 2.22e-04
+2022-09-18 19:54:57,257 INFO [train.py:885] (1/2) Epoch 21, batch 8800, loss[loss=0.4044, simple_loss=0.4913, pruned_loss=0.1587, over 13118.00 frames. utt_duration=81.85 frames, utt_pad_proportion=0.1103, over 653.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3553, pruned_loss=0.1068, over 2785740.61 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07047, over 46731.15 utterances.], batch size: 653, lr: 2.22e-04
+2022-09-18 19:55:27,171 INFO [train.py:885] (1/2) Epoch 21, batch 8850, loss[loss=0.2253, simple_loss=0.3024, pruned_loss=0.07411, over 14164.00 frames. utt_duration=638.1 frames, utt_pad_proportion=0.04896, over 89.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3528, pruned_loss=0.1053, over 2783322.51 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07144, over 46536.43 utterances.], batch size: 89, lr: 2.22e-04
+2022-09-18 19:55:56,022 INFO [train.py:885] (1/2) Epoch 21, batch 8900, loss[loss=0.1558, simple_loss=0.2069, pruned_loss=0.05234, over 13554.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.084, over 42.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3518, pruned_loss=0.1049, over 2781444.61 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07219, over 46178.61 utterances.], batch size: 42, lr: 2.22e-04
+2022-09-18 19:56:25,857 INFO [train.py:885] (1/2) Epoch 21, batch 8950, loss[loss=0.2712, simple_loss=0.3476, pruned_loss=0.09739, over 14378.00 frames. utt_duration=296.5 frames, utt_pad_proportion=0.03436, over 195.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3524, pruned_loss=0.1056, over 2779782.49 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07219, over 46023.12 utterances.], batch size: 195, lr: 2.22e-04
+2022-09-18 19:56:55,163 INFO [train.py:885] (1/2) Epoch 21, batch 9000, loss[loss=0.2454, simple_loss=0.3238, pruned_loss=0.08354, over 14257.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04482, over 141.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.352, pruned_loss=0.1052, over 2778089.19 frames. utt_duration=245 frames, utt_pad_proportion=0.07101, over 45639.50 utterances.], batch size: 141, lr: 2.22e-04
+2022-09-18 19:56:55,163 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 19:56:59,477 INFO [train.py:914] (1/2) Epoch 21, validation: loss=0.1874, simple_loss=0.2668, pruned_loss=0.05397, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 19:57:29,150 INFO [train.py:885] (1/2) Epoch 21, batch 9050, loss[loss=0.2895, simple_loss=0.3576, pruned_loss=0.1107, over 14338.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03918, over 167.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3522, pruned_loss=0.1047, over 2780046.24 frames. utt_duration=244 frames, utt_pad_proportion=0.07144, over 45851.37 utterances.], batch size: 167, lr: 2.22e-04
+2022-09-18 19:57:58,935 INFO [train.py:885] (1/2) Epoch 21, batch 9100, loss[loss=0.3071, simple_loss=0.3739, pruned_loss=0.1202, over 14178.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04568, over 306.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3521, pruned_loss=0.1053, over 2781374.97 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06984, over 45642.79 utterances.], batch size: 306, lr: 2.22e-04
+2022-09-18 19:58:28,518 INFO [train.py:885] (1/2) Epoch 21, batch 9150, loss[loss=0.2004, simple_loss=0.2661, pruned_loss=0.06731, over 13160.00 frames. utt_duration=2026 frames, utt_pad_proportion=0.1051, over 26.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3504, pruned_loss=0.1034, over 2779670.85 frames. utt_duration=243.3 frames, utt_pad_proportion=0.06916, over 45969.90 utterances.], batch size: 26, lr: 2.22e-04
+2022-09-18 19:58:57,462 INFO [train.py:885] (1/2) Epoch 21, batch 9200, loss[loss=0.2548, simple_loss=0.3291, pruned_loss=0.09025, over 14301.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04138, over 154.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3482, pruned_loss=0.1028, over 2785571.26 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06764, over 44446.78 utterances.], batch size: 154, lr: 2.22e-04
+2022-09-18 19:59:27,491 INFO [train.py:885] (1/2) Epoch 21, batch 9250, loss[loss=0.1727, simple_loss=0.2386, pruned_loss=0.05342, over 13878.00 frames. utt_duration=926.5 frames, utt_pad_proportion=0.06605, over 60.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3481, pruned_loss=0.1034, over 2784634.32 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06864, over 44318.97 utterances.], batch size: 60, lr: 2.22e-04
+2022-09-18 19:59:57,864 INFO [train.py:885] (1/2) Epoch 21, batch 9300, loss[loss=0.296, simple_loss=0.3689, pruned_loss=0.1116, over 14343.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.0365, over 226.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3501, pruned_loss=0.1048, over 2783403.41 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06863, over 44943.54 utterances.], batch size: 226, lr: 2.22e-04
+2022-09-18 20:00:26,370 INFO [train.py:885] (1/2) Epoch 21, batch 9350, loss[loss=0.3119, simple_loss=0.3685, pruned_loss=0.1277, over 14351.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03615, over 195.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.351, pruned_loss=0.105, over 2781864.62 frames. utt_duration=242.3 frames, utt_pad_proportion=0.06978, over 46205.86 utterances.], batch size: 195, lr: 2.22e-04
+2022-09-18 20:00:56,192 INFO [train.py:885] (1/2) Epoch 21, batch 9400, loss[loss=0.2981, simple_loss=0.3575, pruned_loss=0.1193, over 14161.00 frames. utt_duration=579.3 frames, utt_pad_proportion=0.04724, over 98.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3511, pruned_loss=0.1054, over 2779852.95 frames. utt_duration=246.5 frames, utt_pad_proportion=0.06927, over 45387.03 utterances.], batch size: 98, lr: 2.22e-04
+2022-09-18 20:01:25,936 INFO [train.py:885] (1/2) Epoch 21, batch 9450, loss[loss=0.2986, simple_loss=0.3573, pruned_loss=0.12, over 14285.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.04237, over 154.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3532, pruned_loss=0.1066, over 2781017.16 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07264, over 46263.54 utterances.], batch size: 154, lr: 2.22e-04
+2022-09-18 20:01:55,900 INFO [train.py:885] (1/2) Epoch 21, batch 9500, loss[loss=0.2322, simple_loss=0.3043, pruned_loss=0.08002, over 14123.00 frames. utt_duration=578 frames, utt_pad_proportion=0.05095, over 98.00 utterances.], tot_loss[loss=0.285, simple_loss=0.355, pruned_loss=0.1075, over 2781202.75 frames. utt_duration=237 frames, utt_pad_proportion=0.07403, over 47244.22 utterances.], batch size: 98, lr: 2.22e-04
+2022-09-18 20:02:25,364 INFO [train.py:885] (1/2) Epoch 21, batch 9550, loss[loss=0.3143, simple_loss=0.3943, pruned_loss=0.1171, over 14001.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05578, over 365.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3544, pruned_loss=0.107, over 2781627.63 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07251, over 46593.46 utterances.], batch size: 365, lr: 2.22e-04
+2022-09-18 20:02:54,867 INFO [train.py:885] (1/2) Epoch 21, batch 9600, loss[loss=0.332, simple_loss=0.3959, pruned_loss=0.1341, over 14215.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04439, over 335.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3515, pruned_loss=0.1053, over 2781796.89 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07281, over 45758.50 utterances.], batch size: 335, lr: 2.22e-04
+2022-09-18 20:03:24,211 INFO [train.py:885] (1/2) Epoch 21, batch 9650, loss[loss=0.3433, simple_loss=0.4248, pruned_loss=0.1309, over 13758.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07283, over 411.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3472, pruned_loss=0.1024, over 2781641.19 frames. utt_duration=253.5 frames, utt_pad_proportion=0.07101, over 44144.54 utterances.], batch size: 411, lr: 2.22e-04
+2022-09-18 20:03:54,219 INFO [train.py:885] (1/2) Epoch 21, batch 9700, loss[loss=0.276, simple_loss=0.3573, pruned_loss=0.09738, over 14236.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04261, over 225.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3485, pruned_loss=0.104, over 2779815.10 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07206, over 44750.68 utterances.], batch size: 225, lr: 2.22e-04
+2022-09-18 20:04:23,277 INFO [train.py:885] (1/2) Epoch 21, batch 9750, loss[loss=0.3416, simple_loss=0.4393, pruned_loss=0.122, over 13606.00 frames. utt_duration=98.56 frames, utt_pad_proportion=0.07889, over 560.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3487, pruned_loss=0.104, over 2782580.51 frames. utt_duration=252 frames, utt_pad_proportion=0.07007, over 44429.49 utterances.], batch size: 560, lr: 2.22e-04
+2022-09-18 20:04:53,036 INFO [train.py:885] (1/2) Epoch 21, batch 9800, loss[loss=0.311, simple_loss=0.3776, pruned_loss=0.1222, over 14238.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04277, over 225.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3501, pruned_loss=0.1051, over 2781778.36 frames. utt_duration=247 frames, utt_pad_proportion=0.07071, over 45312.23 utterances.], batch size: 225, lr: 2.22e-04
+2022-09-18 20:05:22,732 INFO [train.py:885] (1/2) Epoch 21, batch 9850, loss[loss=0.2947, simple_loss=0.3768, pruned_loss=0.1063, over 13973.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05735, over 365.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3501, pruned_loss=0.1047, over 2780974.54 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07122, over 44958.87 utterances.], batch size: 365, lr: 2.22e-04
+2022-09-18 20:05:52,054 INFO [train.py:885] (1/2) Epoch 21, batch 9900, loss[loss=0.3635, simple_loss=0.4299, pruned_loss=0.1485, over 14032.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05614, over 366.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3542, pruned_loss=0.1068, over 2776338.59 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07464, over 46905.08 utterances.], batch size: 366, lr: 2.22e-04
+2022-09-18 20:06:21,412 INFO [train.py:885] (1/2) Epoch 21, batch 9950, loss[loss=0.3293, simple_loss=0.4206, pruned_loss=0.119, over 13619.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08179, over 477.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3523, pruned_loss=0.106, over 2780615.08 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07137, over 45834.62 utterances.], batch size: 477, lr: 2.22e-04
+2022-09-18 20:06:51,311 INFO [train.py:885] (1/2) Epoch 21, batch 10000, loss[loss=0.263, simple_loss=0.3321, pruned_loss=0.09692, over 14307.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03776, over 130.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3536, pruned_loss=0.1059, over 2784271.94 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07078, over 46430.66 utterances.], batch size: 130, lr: 2.22e-04
+2022-09-18 20:07:20,706 INFO [train.py:885] (1/2) Epoch 21, batch 10050, loss[loss=0.2197, simple_loss=0.2978, pruned_loss=0.07074, over 14275.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.0447, over 110.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3556, pruned_loss=0.1072, over 2786412.37 frames. utt_duration=240 frames, utt_pad_proportion=0.06885, over 46738.10 utterances.], batch size: 110, lr: 2.22e-04
+2022-09-18 20:07:50,450 INFO [train.py:885] (1/2) Epoch 21, batch 10100, loss[loss=0.1893, simple_loss=0.2676, pruned_loss=0.05552, over 14044.00 frames. utt_duration=712.6 frames, utt_pad_proportion=0.0574, over 79.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3535, pruned_loss=0.1057, over 2782948.83 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07006, over 46514.84 utterances.], batch size: 79, lr: 2.22e-04
+2022-09-18 20:08:19,095 INFO [train.py:885] (1/2) Epoch 21, batch 10150, loss[loss=0.3268, simple_loss=0.3833, pruned_loss=0.1351, over 14327.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.03613, over 130.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3544, pruned_loss=0.1065, over 2785101.14 frames. utt_duration=243 frames, utt_pad_proportion=0.06939, over 46126.22 utterances.], batch size: 130, lr: 2.22e-04
+2022-09-18 20:08:49,937 INFO [train.py:885] (1/2) Epoch 21, batch 10200, loss[loss=0.1983, simple_loss=0.2764, pruned_loss=0.06011, over 14061.00 frames. utt_duration=575.4 frames, utt_pad_proportion=0.05514, over 98.00 utterances.], tot_loss[loss=0.2852, simple_loss=0.3553, pruned_loss=0.1075, over 2780555.42 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07324, over 46331.12 utterances.], batch size: 98, lr: 2.22e-04
+2022-09-18 20:09:19,369 INFO [train.py:885] (1/2) Epoch 21, batch 10250, loss[loss=0.1896, simple_loss=0.224, pruned_loss=0.07766, over 13906.00 frames. utt_duration=1326 frames, utt_pad_proportion=0.06481, over 42.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3512, pruned_loss=0.105, over 2783518.39 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07096, over 45462.71 utterances.], batch size: 42, lr: 2.22e-04
+2022-09-18 20:09:48,754 INFO [train.py:885] (1/2) Epoch 21, batch 10300, loss[loss=0.3139, simple_loss=0.3848, pruned_loss=0.1215, over 14305.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04035, over 262.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3508, pruned_loss=0.1048, over 2782937.88 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07058, over 44882.93 utterances.], batch size: 262, lr: 2.22e-04
+2022-09-18 20:10:18,416 INFO [train.py:885] (1/2) Epoch 21, batch 10350, loss[loss=0.355, simple_loss=0.4124, pruned_loss=0.1488, over 14239.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04303, over 335.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3515, pruned_loss=0.1053, over 2784338.89 frames. utt_duration=248 frames, utt_pad_proportion=0.07176, over 45185.22 utterances.], batch size: 335, lr: 2.22e-04
+2022-09-18 20:10:48,602 INFO [train.py:885] (1/2) Epoch 21, batch 10400, loss[loss=0.2119, simple_loss=0.2957, pruned_loss=0.06408, over 13874.00 frames. utt_duration=926.5 frames, utt_pad_proportion=0.06879, over 60.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.351, pruned_loss=0.1051, over 2784313.71 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07047, over 44712.36 utterances.], batch size: 60, lr: 2.22e-04
+2022-09-18 20:11:17,840 INFO [train.py:885] (1/2) Epoch 21, batch 10450, loss[loss=0.2229, simple_loss=0.3036, pruned_loss=0.07109, over 14068.00 frames. utt_duration=713.7 frames, utt_pad_proportion=0.05594, over 79.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3509, pruned_loss=0.1044, over 2785258.95 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07135, over 44946.05 utterances.], batch size: 79, lr: 2.22e-04
+2022-09-18 20:11:47,584 INFO [train.py:885] (1/2) Epoch 21, batch 10500, loss[loss=0.209, simple_loss=0.2663, pruned_loss=0.07588, over 14003.00 frames. utt_duration=710.5 frames, utt_pad_proportion=0.059, over 79.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3504, pruned_loss=0.1048, over 2782741.18 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07056, over 45062.08 utterances.], batch size: 79, lr: 2.22e-04
+2022-09-18 20:12:17,221 INFO [train.py:885] (1/2) Epoch 21, batch 10550, loss[loss=0.3193, simple_loss=0.3814, pruned_loss=0.1286, over 14345.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.0363, over 195.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3518, pruned_loss=0.1059, over 2782672.22 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07176, over 45173.53 utterances.], batch size: 195, lr: 2.22e-04
+2022-09-18 20:12:46,967 INFO [train.py:885] (1/2) Epoch 21, batch 10600, loss[loss=0.2518, simple_loss=0.3274, pruned_loss=0.08812, over 14262.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04454, over 141.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3546, pruned_loss=0.1066, over 2779227.33 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07358, over 47139.29 utterances.], batch size: 141, lr: 2.22e-04
+2022-09-18 20:13:16,130 INFO [train.py:885] (1/2) Epoch 21, batch 10650, loss[loss=0.3422, simple_loss=0.4224, pruned_loss=0.131, over 13714.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07501, over 411.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3508, pruned_loss=0.1048, over 2781360.56 frames. utt_duration=243.8 frames, utt_pad_proportion=0.0714, over 45909.53 utterances.], batch size: 411, lr: 2.22e-04
+2022-09-18 20:13:46,165 INFO [train.py:885] (1/2) Epoch 21, batch 10700, loss[loss=0.2996, simple_loss=0.3692, pruned_loss=0.115, over 14335.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03515, over 244.00 utterances.], tot_loss[loss=0.2856, simple_loss=0.3555, pruned_loss=0.1079, over 2783002.08 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07058, over 46840.18 utterances.], batch size: 244, lr: 2.22e-04
+2022-09-18 20:14:16,510 INFO [train.py:885] (1/2) Epoch 21, batch 10750, loss[loss=0.352, simple_loss=0.4591, pruned_loss=0.1225, over 13166.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1062, over 653.00 utterances.], tot_loss[loss=0.2849, simple_loss=0.3556, pruned_loss=0.1071, over 2777336.44 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07329, over 47653.03 utterances.], batch size: 653, lr: 2.22e-04
+2022-09-18 20:14:45,558 INFO [train.py:885] (1/2) Epoch 21, batch 10800, loss[loss=0.296, simple_loss=0.3683, pruned_loss=0.1118, over 14292.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04067, over 262.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3543, pruned_loss=0.106, over 2777471.16 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07283, over 46987.80 utterances.], batch size: 262, lr: 2.22e-04
+2022-09-18 20:15:14,665 INFO [train.py:885] (1/2) Epoch 21, batch 10850, loss[loss=0.3344, simple_loss=0.3962, pruned_loss=0.1363, over 14318.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03825, over 195.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3546, pruned_loss=0.1058, over 2783108.41 frames. utt_duration=238.4 frames, utt_pad_proportion=0.071, over 46988.67 utterances.], batch size: 195, lr: 2.22e-04
+2022-09-18 20:15:44,601 INFO [train.py:885] (1/2) Epoch 21, batch 10900, loss[loss=0.1946, simple_loss=0.266, pruned_loss=0.06155, over 12294.00 frames. utt_duration=2050 frames, utt_pad_proportion=0.175, over 24.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.3553, pruned_loss=0.1063, over 2782466.78 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07256, over 47434.78 utterances.], batch size: 24, lr: 2.22e-04
+2022-09-18 20:16:14,053 INFO [train.py:885] (1/2) Epoch 21, batch 10950, loss[loss=0.2249, simple_loss=0.299, pruned_loss=0.0754, over 14238.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04604, over 141.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3536, pruned_loss=0.1049, over 2779888.13 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07281, over 47449.85 utterances.], batch size: 141, lr: 2.22e-04
+2022-09-18 20:16:43,847 INFO [train.py:885] (1/2) Epoch 21, batch 11000, loss[loss=0.3951, simple_loss=0.4375, pruned_loss=0.1763, over 14349.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03608, over 195.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3531, pruned_loss=0.1054, over 2784210.01 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07104, over 46441.28 utterances.], batch size: 195, lr: 2.22e-04
+2022-09-18 20:17:13,771 INFO [train.py:885] (1/2) Epoch 21, batch 11050, loss[loss=0.2912, simple_loss=0.3603, pruned_loss=0.1111, over 14325.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04026, over 167.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3528, pruned_loss=0.105, over 2776387.87 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07301, over 46598.62 utterances.], batch size: 167, lr: 2.22e-04
+2022-09-18 20:17:43,885 INFO [train.py:885] (1/2) Epoch 21, batch 11100, loss[loss=0.2944, simple_loss=0.361, pruned_loss=0.1139, over 14340.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03916, over 167.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3516, pruned_loss=0.1045, over 2773280.47 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07234, over 45902.95 utterances.], batch size: 167, lr: 2.22e-04
+2022-09-18 20:18:13,623 INFO [train.py:885] (1/2) Epoch 21, batch 11150, loss[loss=0.1344, simple_loss=0.1918, pruned_loss=0.03851, over 12960.00 frames. utt_duration=2075 frames, utt_pad_proportion=0.1315, over 25.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3494, pruned_loss=0.104, over 2777099.82 frames. utt_duration=250 frames, utt_pad_proportion=0.07072, over 44689.89 utterances.], batch size: 25, lr: 2.21e-04
+2022-09-18 20:18:43,065 INFO [train.py:885] (1/2) Epoch 21, batch 11200, loss[loss=0.224, simple_loss=0.2788, pruned_loss=0.08459, over 13882.00 frames. utt_duration=927 frames, utt_pad_proportion=0.06831, over 60.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.348, pruned_loss=0.1029, over 2782043.10 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06982, over 44506.80 utterances.], batch size: 60, lr: 2.21e-04
+2022-09-18 20:19:12,609 INFO [train.py:885] (1/2) Epoch 21, batch 11250, loss[loss=0.2814, simple_loss=0.3559, pruned_loss=0.1035, over 14369.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03455, over 210.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3496, pruned_loss=0.1038, over 2782187.46 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06975, over 44888.67 utterances.], batch size: 210, lr: 2.21e-04
+2022-09-18 20:19:42,493 INFO [train.py:885] (1/2) Epoch 21, batch 11300, loss[loss=0.2332, simple_loss=0.3195, pruned_loss=0.07349, over 14343.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03896, over 167.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3463, pruned_loss=0.102, over 2775285.64 frames. utt_duration=251 frames, utt_pad_proportion=0.07131, over 44492.74 utterances.], batch size: 167, lr: 2.21e-04
+2022-09-18 20:20:12,295 INFO [train.py:885] (1/2) Epoch 21, batch 11350, loss[loss=0.2271, simple_loss=0.309, pruned_loss=0.07262, over 14249.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04297, over 141.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3469, pruned_loss=0.1025, over 2778005.57 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07108, over 44277.39 utterances.], batch size: 141, lr: 2.21e-04
+2022-09-18 20:20:42,078 INFO [train.py:885] (1/2) Epoch 21, batch 11400, loss[loss=0.1908, simple_loss=0.2639, pruned_loss=0.05888, over 13900.00 frames. utt_duration=807 frames, utt_pad_proportion=0.05941, over 69.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3473, pruned_loss=0.1027, over 2777168.11 frames. utt_duration=253 frames, utt_pad_proportion=0.0707, over 44164.87 utterances.], batch size: 69, lr: 2.21e-04
+2022-09-18 20:21:13,556 INFO [train.py:885] (1/2) Epoch 21, batch 11450, loss[loss=0.3228, simple_loss=0.4113, pruned_loss=0.1172, over 13785.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07091, over 411.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3491, pruned_loss=0.104, over 2778960.93 frames. utt_duration=251.3 frames, utt_pad_proportion=0.0701, over 44493.97 utterances.], batch size: 411, lr: 2.21e-04
+2022-09-18 20:21:42,819 INFO [train.py:885] (1/2) Epoch 21, batch 11500, loss[loss=0.3838, simple_loss=0.4282, pruned_loss=0.1697, over 14198.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04543, over 335.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3516, pruned_loss=0.105, over 2780891.21 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07114, over 45384.74 utterances.], batch size: 335, lr: 2.21e-04
+2022-09-18 20:22:12,398 INFO [train.py:885] (1/2) Epoch 21, batch 11550, loss[loss=0.208, simple_loss=0.2678, pruned_loss=0.07413, over 13929.00 frames. utt_duration=809 frames, utt_pad_proportion=0.05824, over 69.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3512, pruned_loss=0.1043, over 2777794.66 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07231, over 46442.04 utterances.], batch size: 69, lr: 2.21e-04
+2022-09-18 20:22:41,872 INFO [train.py:885] (1/2) Epoch 21, batch 11600, loss[loss=0.2994, simple_loss=0.3699, pruned_loss=0.1144, over 14324.00 frames. utt_duration=220 frames, utt_pad_proportion=0.0392, over 262.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3541, pruned_loss=0.106, over 2778581.95 frames. utt_duration=239 frames, utt_pad_proportion=0.07277, over 46795.36 utterances.], batch size: 262, lr: 2.21e-04
+2022-09-18 20:23:12,776 INFO [train.py:885] (1/2) Epoch 21, batch 11650, loss[loss=0.1621, simple_loss=0.2195, pruned_loss=0.05237, over 13443.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.09369, over 50.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3527, pruned_loss=0.1061, over 2779814.71 frames. utt_duration=241.5 frames, utt_pad_proportion=0.0713, over 46318.42 utterances.], batch size: 50, lr: 2.21e-04
+2022-09-18 20:23:42,356 INFO [train.py:885] (1/2) Epoch 21, batch 11700, loss[loss=0.2379, simple_loss=0.3203, pruned_loss=0.07776, over 14310.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03922, over 120.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3542, pruned_loss=0.1062, over 2777348.83 frames. utt_duration=237.4 frames, utt_pad_proportion=0.0731, over 47081.90 utterances.], batch size: 120, lr: 2.21e-04
+2022-09-18 20:24:12,007 INFO [train.py:885] (1/2) Epoch 21, batch 11750, loss[loss=0.2328, simple_loss=0.3119, pruned_loss=0.07683, over 14280.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.04122, over 141.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3511, pruned_loss=0.1044, over 2777905.61 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07233, over 45780.79 utterances.], batch size: 141, lr: 2.21e-04
+2022-09-18 20:24:41,216 INFO [train.py:885] (1/2) Epoch 21, batch 11800, loss[loss=0.3175, simple_loss=0.3869, pruned_loss=0.1241, over 14369.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03457, over 210.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3524, pruned_loss=0.1054, over 2781625.44 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07073, over 46551.43 utterances.], batch size: 210, lr: 2.21e-04
+2022-09-18 20:25:10,907 INFO [train.py:885] (1/2) Epoch 21, batch 11850, loss[loss=0.196, simple_loss=0.2614, pruned_loss=0.0653, over 13609.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.08794, over 42.00 utterances.], tot_loss[loss=0.2814, simple_loss=0.3523, pruned_loss=0.1053, over 2780005.49 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07167, over 46347.49 utterances.], batch size: 42, lr: 2.21e-04
+2022-09-18 20:25:40,292 INFO [train.py:885] (1/2) Epoch 21, batch 11900, loss[loss=0.3506, simple_loss=0.4394, pruned_loss=0.1309, over 13640.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08066, over 477.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3473, pruned_loss=0.1027, over 2783623.96 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06844, over 44376.41 utterances.], batch size: 477, lr: 2.21e-04
+2022-09-18 20:26:10,347 INFO [train.py:885] (1/2) Epoch 21, batch 11950, loss[loss=0.2458, simple_loss=0.3252, pruned_loss=0.08321, over 14276.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.04133, over 141.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3476, pruned_loss=0.1026, over 2784895.15 frames. utt_duration=252 frames, utt_pad_proportion=0.06919, over 44460.44 utterances.], batch size: 141, lr: 2.21e-04
+2022-09-18 20:26:39,561 INFO [train.py:885] (1/2) Epoch 21, batch 12000, loss[loss=0.1491, simple_loss=0.2022, pruned_loss=0.04804, over 13577.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.08255, over 42.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3441, pruned_loss=0.101, over 2784795.31 frames. utt_duration=262.1 frames, utt_pad_proportion=0.06757, over 42735.68 utterances.], batch size: 42, lr: 2.21e-04
+2022-09-18 20:26:39,562 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 20:26:44,577 INFO [train.py:914] (1/2) Epoch 21, validation: loss=0.1935, simple_loss=0.2741, pruned_loss=0.05641, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 20:27:14,247 INFO [train.py:885] (1/2) Epoch 21, batch 12050, loss[loss=0.1837, simple_loss=0.2349, pruned_loss=0.06625, over 13207.00 frames. utt_duration=1603 frames, utt_pad_proportion=0.1132, over 33.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3449, pruned_loss=0.1018, over 2777948.08 frames. utt_duration=259.1 frames, utt_pad_proportion=0.07102, over 43132.79 utterances.], batch size: 33, lr: 2.21e-04
+2022-09-18 20:27:43,728 INFO [train.py:885] (1/2) Epoch 21, batch 12100, loss[loss=0.3251, simple_loss=0.421, pruned_loss=0.1146, over 13640.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08026, over 477.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3459, pruned_loss=0.1021, over 2779869.40 frames. utt_duration=256.1 frames, utt_pad_proportion=0.07009, over 43661.21 utterances.], batch size: 477, lr: 2.21e-04
+2022-09-18 20:28:13,971 INFO [train.py:885] (1/2) Epoch 21, batch 12150, loss[loss=0.2081, simple_loss=0.2744, pruned_loss=0.07095, over 13438.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.09144, over 50.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.348, pruned_loss=0.1035, over 2777827.73 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07208, over 44962.06 utterances.], batch size: 50, lr: 2.21e-04
+2022-09-18 20:28:43,177 INFO [train.py:885] (1/2) Epoch 21, batch 12200, loss[loss=0.3417, simple_loss=0.402, pruned_loss=0.1407, over 14360.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03665, over 244.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3491, pruned_loss=0.1047, over 2777672.03 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07318, over 44656.87 utterances.], batch size: 244, lr: 2.21e-04
+2022-09-18 20:29:12,836 INFO [train.py:885] (1/2) Epoch 21, batch 12250, loss[loss=0.2286, simple_loss=0.3114, pruned_loss=0.07292, over 14218.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.04763, over 141.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3503, pruned_loss=0.1053, over 2781136.32 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07211, over 44626.79 utterances.], batch size: 141, lr: 2.21e-04
+2022-09-18 20:29:42,437 INFO [train.py:885] (1/2) Epoch 21, batch 12300, loss[loss=0.2728, simple_loss=0.3789, pruned_loss=0.08335, over 13767.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07163, over 411.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.349, pruned_loss=0.1039, over 2776200.38 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07289, over 45025.34 utterances.], batch size: 411, lr: 2.21e-04
+2022-09-18 20:30:12,288 INFO [train.py:885] (1/2) Epoch 21, batch 12350, loss[loss=0.1765, simple_loss=0.2517, pruned_loss=0.05068, over 14083.00 frames. utt_duration=806.1 frames, utt_pad_proportion=0.05606, over 70.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.347, pruned_loss=0.1024, over 2780368.71 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07167, over 44351.67 utterances.], batch size: 70, lr: 2.21e-04
+2022-09-18 20:30:41,983 INFO [train.py:885] (1/2) Epoch 21, batch 12400, loss[loss=0.1853, simple_loss=0.2397, pruned_loss=0.06546, over 13682.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.07888, over 42.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3527, pruned_loss=0.1058, over 2781868.56 frames. utt_duration=242.2 frames, utt_pad_proportion=0.0725, over 46223.14 utterances.], batch size: 42, lr: 2.21e-04
+2022-09-18 20:31:11,611 INFO [train.py:885] (1/2) Epoch 21, batch 12450, loss[loss=0.2453, simple_loss=0.3181, pruned_loss=0.08625, over 14338.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03772, over 120.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3565, pruned_loss=0.1072, over 2780596.49 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07311, over 47797.06 utterances.], batch size: 120, lr: 2.21e-04
+2022-09-18 20:31:41,788 INFO [train.py:885] (1/2) Epoch 21, batch 12500, loss[loss=0.341, simple_loss=0.3996, pruned_loss=0.1412, over 14343.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03685, over 195.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3526, pruned_loss=0.1053, over 2787232.94 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07027, over 45641.42 utterances.], batch size: 195, lr: 2.21e-04
+2022-09-18 20:32:11,167 INFO [train.py:885] (1/2) Epoch 21, batch 12550, loss[loss=0.3643, simple_loss=0.414, pruned_loss=0.1573, over 14237.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04241, over 335.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3493, pruned_loss=0.1051, over 2786279.40 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06862, over 43387.62 utterances.], batch size: 335, lr: 2.21e-04
+2022-09-18 20:32:39,352 INFO [train.py:885] (1/2) Epoch 21, batch 12600, loss[loss=0.1985, simple_loss=0.2563, pruned_loss=0.07039, over 13562.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.07972, over 42.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3474, pruned_loss=0.1039, over 2788411.62 frames. utt_duration=262 frames, utt_pad_proportion=0.06719, over 42816.97 utterances.], batch size: 42, lr: 2.21e-04
+2022-09-18 20:32:58,049 INFO [train.py:885] (1/2) Epoch 22, batch 0, loss[loss=0.2702, simple_loss=0.3481, pruned_loss=0.09618, over 14279.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04029, over 180.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3481, pruned_loss=0.09618, over 14279.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04029, over 180.00 utterances.], batch size: 180, lr: 2.16e-04
+2022-09-18 20:33:28,351 INFO [train.py:885] (1/2) Epoch 22, batch 50, loss[loss=0.3097, simple_loss=0.3774, pruned_loss=0.1209, over 14377.00 frames. utt_duration=345.8 frames, utt_pad_proportion=0.03671, over 167.00 utterances.], tot_loss[loss=0.259, simple_loss=0.3313, pruned_loss=0.09337, over 630338.57 frames. utt_duration=286.9 frames, utt_pad_proportion=0.05808, over 8831.26 utterances.], batch size: 167, lr: 2.16e-04
+2022-09-18 20:33:58,086 INFO [train.py:885] (1/2) Epoch 22, batch 100, loss[loss=0.285, simple_loss=0.3594, pruned_loss=0.1053, over 14417.00 frames. utt_duration=237.8 frames, utt_pad_proportion=0.02921, over 244.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3485, pruned_loss=0.1022, over 1107864.49 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06615, over 18219.46 utterances.], batch size: 244, lr: 2.16e-04
+2022-09-18 20:34:27,354 INFO [train.py:885] (1/2) Epoch 22, batch 150, loss[loss=0.1767, simple_loss=0.2366, pruned_loss=0.05836, over 13802.00 frames. utt_duration=1106 frames, utt_pad_proportion=0.06288, over 50.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.341, pruned_loss=0.09933, over 1473023.73 frames. utt_duration=262 frames, utt_pad_proportion=0.06709, over 22615.70 utterances.], batch size: 50, lr: 2.16e-04
+2022-09-18 20:34:57,376 INFO [train.py:885] (1/2) Epoch 22, batch 200, loss[loss=0.2966, simple_loss=0.3987, pruned_loss=0.09723, over 13751.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07291, over 411.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3529, pruned_loss=0.1047, over 1764510.85 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07055, over 30128.02 utterances.], batch size: 411, lr: 2.16e-04
+2022-09-18 20:35:27,296 INFO [train.py:885] (1/2) Epoch 22, batch 250, loss[loss=0.209, simple_loss=0.2798, pruned_loss=0.06913, over 12686.00 frames. utt_duration=2030 frames, utt_pad_proportion=0.144, over 25.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3548, pruned_loss=0.1064, over 1985255.13 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07368, over 34116.40 utterances.], batch size: 25, lr: 2.16e-04
+2022-09-18 20:35:57,283 INFO [train.py:885] (1/2) Epoch 22, batch 300, loss[loss=0.3232, simple_loss=0.4048, pruned_loss=0.1208, over 13769.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07164, over 411.00 utterances.], tot_loss[loss=0.285, simple_loss=0.3559, pruned_loss=0.107, over 2161637.58 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07195, over 37107.40 utterances.], batch size: 411, lr: 2.16e-04
+2022-09-18 20:36:27,016 INFO [train.py:885] (1/2) Epoch 22, batch 350, loss[loss=0.1809, simple_loss=0.252, pruned_loss=0.05493, over 13577.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08142, over 50.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3566, pruned_loss=0.1068, over 2297778.27 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07365, over 40633.19 utterances.], batch size: 50, lr: 2.16e-04
+2022-09-18 20:36:56,868 INFO [train.py:885] (1/2) Epoch 22, batch 400, loss[loss=0.3373, simple_loss=0.3943, pruned_loss=0.1401, over 14374.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03467, over 210.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3548, pruned_loss=0.1059, over 2407650.38 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07257, over 41507.23 utterances.], batch size: 210, lr: 2.16e-04
+2022-09-18 20:37:27,036 INFO [train.py:885] (1/2) Epoch 22, batch 450, loss[loss=0.3048, simple_loss=0.3686, pruned_loss=0.1205, over 14295.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04093, over 262.00 utterances.], tot_loss[loss=0.2844, simple_loss=0.3556, pruned_loss=0.1066, over 2488366.06 frames. utt_duration=231.8 frames, utt_pad_proportion=0.0737, over 43222.05 utterances.], batch size: 262, lr: 2.16e-04
+2022-09-18 20:37:56,891 INFO [train.py:885] (1/2) Epoch 22, batch 500, loss[loss=0.3155, simple_loss=0.3877, pruned_loss=0.1217, over 14367.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03287, over 244.00 utterances.], tot_loss[loss=0.283, simple_loss=0.3542, pruned_loss=0.1059, over 2551153.72 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07464, over 43954.11 utterances.], batch size: 244, lr: 2.16e-04
+2022-09-18 20:38:26,375 INFO [train.py:885] (1/2) Epoch 22, batch 550, loss[loss=0.2277, simple_loss=0.299, pruned_loss=0.07819, over 14009.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.05736, over 79.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3554, pruned_loss=0.1058, over 2601959.59 frames. utt_duration=228 frames, utt_pad_proportion=0.07559, over 45936.46 utterances.], batch size: 79, lr: 2.16e-04
+2022-09-18 20:38:56,075 INFO [train.py:885] (1/2) Epoch 22, batch 600, loss[loss=0.4984, simple_loss=0.5835, pruned_loss=0.2066, over 12489.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1447, over 810.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3535, pruned_loss=0.1048, over 2633584.02 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07779, over 45772.03 utterances.], batch size: 810, lr: 2.16e-04
+2022-09-18 20:39:25,959 INFO [train.py:885] (1/2) Epoch 22, batch 650, loss[loss=0.3409, simple_loss=0.4235, pruned_loss=0.1292, over 13635.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08078, over 477.00 utterances.], tot_loss[loss=0.2855, simple_loss=0.3574, pruned_loss=0.1068, over 2670160.88 frames. utt_duration=229 frames, utt_pad_proportion=0.0774, over 46936.29 utterances.], batch size: 477, lr: 2.16e-04
+2022-09-18 20:39:55,599 INFO [train.py:885] (1/2) Epoch 22, batch 700, loss[loss=0.2696, simple_loss=0.3464, pruned_loss=0.09639, over 14386.00 frames. utt_duration=275.4 frames, utt_pad_proportion=0.03375, over 210.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3531, pruned_loss=0.1054, over 2689911.37 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07736, over 45869.85 utterances.], batch size: 210, lr: 2.16e-04
+2022-09-18 20:40:25,866 INFO [train.py:885] (1/2) Epoch 22, batch 750, loss[loss=0.3599, simple_loss=0.4524, pruned_loss=0.1336, over 13625.00 frames. utt_duration=98.69 frames, utt_pad_proportion=0.0777, over 560.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3525, pruned_loss=0.1043, over 2710631.09 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07584, over 46574.17 utterances.], batch size: 560, lr: 2.16e-04
+2022-09-18 20:40:54,975 INFO [train.py:885] (1/2) Epoch 22, batch 800, loss[loss=0.3185, simple_loss=0.4108, pruned_loss=0.1131, over 13656.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08147, over 478.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3535, pruned_loss=0.1051, over 2724742.78 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07542, over 47108.57 utterances.], batch size: 478, lr: 2.16e-04
+2022-09-18 20:41:24,963 INFO [train.py:885] (1/2) Epoch 22, batch 850, loss[loss=0.2455, simple_loss=0.3024, pruned_loss=0.09431, over 14136.00 frames. utt_duration=636.7 frames, utt_pad_proportion=0.05111, over 89.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3505, pruned_loss=0.1032, over 2736844.45 frames. utt_duration=239 frames, utt_pad_proportion=0.07366, over 46097.35 utterances.], batch size: 89, lr: 2.16e-04
+2022-09-18 20:41:54,605 INFO [train.py:885] (1/2) Epoch 22, batch 900, loss[loss=0.322, simple_loss=0.4195, pruned_loss=0.1123, over 13620.00 frames. utt_duration=98.75 frames, utt_pad_proportion=0.07709, over 560.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3491, pruned_loss=0.1026, over 2746255.77 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07333, over 45499.68 utterances.], batch size: 560, lr: 2.16e-04
+2022-09-18 20:42:23,950 INFO [train.py:885] (1/2) Epoch 22, batch 950, loss[loss=0.3344, simple_loss=0.3931, pruned_loss=0.1378, over 14346.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.0368, over 283.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3529, pruned_loss=0.1043, over 2756417.84 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07435, over 47296.74 utterances.], batch size: 283, lr: 2.16e-04
+2022-09-18 20:42:53,779 INFO [train.py:885] (1/2) Epoch 22, batch 1000, loss[loss=0.3299, simple_loss=0.3974, pruned_loss=0.1312, over 14220.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04434, over 335.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3516, pruned_loss=0.1044, over 2762384.58 frames. utt_duration=241.5 frames, utt_pad_proportion=0.0727, over 46026.93 utterances.], batch size: 335, lr: 2.16e-04
+2022-09-18 20:43:23,344 INFO [train.py:885] (1/2) Epoch 22, batch 1050, loss[loss=0.3137, simple_loss=0.3997, pruned_loss=0.1139, over 13930.00 frames. utt_duration=154.1 frames, utt_pad_proportion=0.06032, over 365.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3521, pruned_loss=0.1045, over 2765842.19 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07222, over 46212.05 utterances.], batch size: 365, lr: 2.16e-04
+2022-09-18 20:43:53,070 INFO [train.py:885] (1/2) Epoch 22, batch 1100, loss[loss=0.2712, simple_loss=0.3441, pruned_loss=0.09916, over 14328.00 frames. utt_duration=319.9 frames, utt_pad_proportion=0.03656, over 180.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3477, pruned_loss=0.1023, over 2771707.99 frames. utt_duration=251.7 frames, utt_pad_proportion=0.0713, over 44301.53 utterances.], batch size: 180, lr: 2.16e-04
+2022-09-18 20:44:22,015 INFO [train.py:885] (1/2) Epoch 22, batch 1150, loss[loss=0.2424, simple_loss=0.3283, pruned_loss=0.07818, over 14222.00 frames. utt_duration=523.2 frames, utt_pad_proportion=0.04172, over 109.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3492, pruned_loss=0.1025, over 2773037.95 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07191, over 45709.95 utterances.], batch size: 109, lr: 2.15e-04
+2022-09-18 20:44:52,040 INFO [train.py:885] (1/2) Epoch 22, batch 1200, loss[loss=0.3384, simple_loss=0.4293, pruned_loss=0.1237, over 13623.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08138, over 477.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3518, pruned_loss=0.1036, over 2767594.94 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07569, over 47593.66 utterances.], batch size: 477, lr: 2.15e-04
+2022-09-18 20:45:21,656 INFO [train.py:885] (1/2) Epoch 22, batch 1250, loss[loss=0.2465, simple_loss=0.3121, pruned_loss=0.09039, over 14183.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04421, over 109.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3468, pruned_loss=0.1016, over 2772464.11 frames. utt_duration=251.6 frames, utt_pad_proportion=0.0731, over 44331.64 utterances.], batch size: 109, lr: 2.15e-04
+2022-09-18 20:45:51,716 INFO [train.py:885] (1/2) Epoch 22, batch 1300, loss[loss=0.2715, simple_loss=0.3452, pruned_loss=0.09889, over 14296.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04146, over 154.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3478, pruned_loss=0.1024, over 2770779.23 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07407, over 44755.18 utterances.], batch size: 154, lr: 2.15e-04
+2022-09-18 20:46:21,628 INFO [train.py:885] (1/2) Epoch 22, batch 1350, loss[loss=0.2818, simple_loss=0.3531, pruned_loss=0.1052, over 14380.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03172, over 244.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3483, pruned_loss=0.1027, over 2769227.71 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07567, over 45529.73 utterances.], batch size: 244, lr: 2.15e-04
+2022-09-18 20:46:51,645 INFO [train.py:885] (1/2) Epoch 22, batch 1400, loss[loss=0.3538, simple_loss=0.4031, pruned_loss=0.1522, over 14205.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04448, over 306.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.348, pruned_loss=0.1031, over 2768238.10 frames. utt_duration=245 frames, utt_pad_proportion=0.07492, over 45462.78 utterances.], batch size: 306, lr: 2.15e-04
+2022-09-18 20:47:21,507 INFO [train.py:885] (1/2) Epoch 22, batch 1450, loss[loss=0.1747, simple_loss=0.2301, pruned_loss=0.05963, over 12572.00 frames. utt_duration=2097 frames, utt_pad_proportion=0.1463, over 24.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3477, pruned_loss=0.1025, over 2768777.79 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07537, over 45447.09 utterances.], batch size: 24, lr: 2.15e-04
+2022-09-18 20:47:50,430 INFO [train.py:885] (1/2) Epoch 22, batch 1500, loss[loss=0.3471, simple_loss=0.4076, pruned_loss=0.1433, over 14248.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04272, over 335.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3468, pruned_loss=0.1024, over 2772339.66 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07378, over 44908.62 utterances.], batch size: 335, lr: 2.15e-04
+2022-09-18 20:48:19,625 INFO [train.py:885] (1/2) Epoch 22, batch 1550, loss[loss=0.1993, simple_loss=0.2631, pruned_loss=0.06775, over 13918.00 frames. utt_duration=929.3 frames, utt_pad_proportion=0.06695, over 60.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3476, pruned_loss=0.1023, over 2768163.37 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07525, over 45959.56 utterances.], batch size: 60, lr: 2.15e-04
+2022-09-18 20:48:49,468 INFO [train.py:885] (1/2) Epoch 22, batch 1600, loss[loss=0.5132, simple_loss=0.5942, pruned_loss=0.2161, over 12400.00 frames. utt_duration=62.79 frames, utt_pad_proportion=0.1515, over 810.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3502, pruned_loss=0.1034, over 2766395.43 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07782, over 47472.88 utterances.], batch size: 810, lr: 2.15e-04
+2022-09-18 20:49:19,030 INFO [train.py:885] (1/2) Epoch 22, batch 1650, loss[loss=0.1916, simple_loss=0.2728, pruned_loss=0.05519, over 13294.00 frames. utt_duration=1299 frames, utt_pad_proportion=0.09318, over 41.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3513, pruned_loss=0.1041, over 2772738.97 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07542, over 47308.76 utterances.], batch size: 41, lr: 2.15e-04
+2022-09-18 20:49:48,990 INFO [train.py:885] (1/2) Epoch 22, batch 1700, loss[loss=0.1824, simple_loss=0.2386, pruned_loss=0.06316, over 13694.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07518, over 50.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.353, pruned_loss=0.1051, over 2773721.46 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07531, over 48043.69 utterances.], batch size: 50, lr: 2.15e-04
+2022-09-18 20:50:17,934 INFO [train.py:885] (1/2) Epoch 22, batch 1750, loss[loss=0.308, simple_loss=0.3742, pruned_loss=0.1209, over 14288.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03935, over 225.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3483, pruned_loss=0.1028, over 2779179.42 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07188, over 46365.08 utterances.], batch size: 225, lr: 2.15e-04
+2022-09-18 20:50:48,586 INFO [train.py:885] (1/2) Epoch 22, batch 1800, loss[loss=0.2659, simple_loss=0.3357, pruned_loss=0.09802, over 14343.00 frames. utt_duration=374.3 frames, utt_pad_proportion=0.03543, over 154.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3488, pruned_loss=0.1027, over 2780273.10 frames. utt_duration=242 frames, utt_pad_proportion=0.0709, over 46243.12 utterances.], batch size: 154, lr: 2.15e-04
+2022-09-18 20:51:17,390 INFO [train.py:885] (1/2) Epoch 22, batch 1850, loss[loss=0.2715, simple_loss=0.3448, pruned_loss=0.09908, over 14235.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04302, over 225.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3469, pruned_loss=0.1016, over 2781716.53 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07036, over 45480.50 utterances.], batch size: 225, lr: 2.15e-04
+2022-09-18 20:51:46,472 INFO [train.py:885] (1/2) Epoch 22, batch 1900, loss[loss=0.3365, simple_loss=0.3971, pruned_loss=0.1379, over 14388.00 frames. utt_duration=275.4 frames, utt_pad_proportion=0.03355, over 210.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3481, pruned_loss=0.1025, over 2784278.58 frames. utt_duration=246 frames, utt_pad_proportion=0.06946, over 45542.26 utterances.], batch size: 210, lr: 2.15e-04
+2022-09-18 20:52:16,832 INFO [train.py:885] (1/2) Epoch 22, batch 1950, loss[loss=0.2822, simple_loss=0.3547, pruned_loss=0.1049, over 14315.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03755, over 180.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3495, pruned_loss=0.1027, over 2785678.06 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07019, over 46201.65 utterances.], batch size: 180, lr: 2.15e-04
+2022-09-18 20:52:46,412 INFO [train.py:885] (1/2) Epoch 22, batch 2000, loss[loss=0.2225, simple_loss=0.2762, pruned_loss=0.08437, over 13055.00 frames. utt_duration=2090 frames, utt_pad_proportion=0.1006, over 25.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3515, pruned_loss=0.105, over 2777597.65 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07407, over 45902.51 utterances.], batch size: 25, lr: 2.15e-04
+2022-09-18 20:53:16,223 INFO [train.py:885] (1/2) Epoch 22, batch 2050, loss[loss=0.3138, simple_loss=0.4094, pruned_loss=0.1091, over 13757.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07303, over 411.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3504, pruned_loss=0.1044, over 2778403.73 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07324, over 45527.71 utterances.], batch size: 411, lr: 2.15e-04
+2022-09-18 20:53:45,408 INFO [train.py:885] (1/2) Epoch 22, batch 2100, loss[loss=0.3293, simple_loss=0.3999, pruned_loss=0.1293, over 14016.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05423, over 365.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3487, pruned_loss=0.1036, over 2777556.68 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07264, over 45100.91 utterances.], batch size: 365, lr: 2.15e-04
+2022-09-18 20:54:15,435 INFO [train.py:885] (1/2) Epoch 22, batch 2150, loss[loss=0.1659, simple_loss=0.213, pruned_loss=0.05942, over 13702.00 frames. utt_duration=1307 frames, utt_pad_proportion=0.08377, over 42.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3464, pruned_loss=0.1023, over 2777563.81 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07178, over 45042.36 utterances.], batch size: 42, lr: 2.15e-04
+2022-09-18 20:54:44,605 INFO [train.py:885] (1/2) Epoch 22, batch 2200, loss[loss=0.2858, simple_loss=0.3754, pruned_loss=0.09809, over 14010.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05489, over 365.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3494, pruned_loss=0.104, over 2781971.68 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07075, over 44999.34 utterances.], batch size: 365, lr: 2.15e-04
+2022-09-18 20:55:14,677 INFO [train.py:885] (1/2) Epoch 22, batch 2250, loss[loss=0.4227, simple_loss=0.457, pruned_loss=0.1942, over 14265.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04134, over 335.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3519, pruned_loss=0.1049, over 2781071.12 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07247, over 46431.58 utterances.], batch size: 335, lr: 2.15e-04
+2022-09-18 20:55:43,922 INFO [train.py:885] (1/2) Epoch 22, batch 2300, loss[loss=0.2573, simple_loss=0.3231, pruned_loss=0.0958, over 14293.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04028, over 120.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.352, pruned_loss=0.1049, over 2781062.51 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07187, over 46097.48 utterances.], batch size: 120, lr: 2.15e-04
+2022-09-18 20:56:13,368 INFO [train.py:885] (1/2) Epoch 22, batch 2350, loss[loss=0.2771, simple_loss=0.3507, pruned_loss=0.1017, over 14266.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04051, over 180.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3488, pruned_loss=0.1039, over 2781813.17 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06964, over 44332.88 utterances.], batch size: 180, lr: 2.15e-04
+2022-09-18 20:56:43,323 INFO [train.py:885] (1/2) Epoch 22, batch 2400, loss[loss=0.2427, simple_loss=0.3183, pruned_loss=0.08354, over 14346.00 frames. utt_duration=442.9 frames, utt_pad_proportion=0.03513, over 130.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3484, pruned_loss=0.1025, over 2778910.11 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07105, over 45169.25 utterances.], batch size: 130, lr: 2.15e-04
+2022-09-18 20:57:12,931 INFO [train.py:885] (1/2) Epoch 22, batch 2450, loss[loss=0.2541, simple_loss=0.3277, pruned_loss=0.09028, over 14330.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03986, over 167.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3477, pruned_loss=0.1026, over 2779307.98 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07015, over 44995.21 utterances.], batch size: 167, lr: 2.15e-04
+2022-09-18 20:57:42,075 INFO [train.py:885] (1/2) Epoch 22, batch 2500, loss[loss=0.2557, simple_loss=0.3278, pruned_loss=0.09183, over 14119.00 frames. utt_duration=519.7 frames, utt_pad_proportion=0.04821, over 109.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3455, pruned_loss=0.1021, over 2782398.20 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06753, over 43428.21 utterances.], batch size: 109, lr: 2.15e-04
+2022-09-18 20:58:12,265 INFO [train.py:885] (1/2) Epoch 22, batch 2550, loss[loss=0.3316, simple_loss=0.423, pruned_loss=0.1201, over 13621.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08113, over 477.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3466, pruned_loss=0.1028, over 2781658.46 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06759, over 43694.16 utterances.], batch size: 477, lr: 2.15e-04
+2022-09-18 20:58:41,623 INFO [train.py:885] (1/2) Epoch 22, batch 2600, loss[loss=0.3789, simple_loss=0.4302, pruned_loss=0.1638, over 14291.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03923, over 225.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3503, pruned_loss=0.104, over 2781198.73 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07014, over 45458.05 utterances.], batch size: 225, lr: 2.15e-04
+2022-09-18 20:59:11,564 INFO [train.py:885] (1/2) Epoch 22, batch 2650, loss[loss=0.2155, simple_loss=0.2848, pruned_loss=0.0731, over 13941.00 frames. utt_duration=809.8 frames, utt_pad_proportion=0.05728, over 69.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3507, pruned_loss=0.1051, over 2778081.86 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06941, over 45429.92 utterances.], batch size: 69, lr: 2.15e-04
+2022-09-18 20:59:41,152 INFO [train.py:885] (1/2) Epoch 22, batch 2700, loss[loss=0.2032, simple_loss=0.2755, pruned_loss=0.06542, over 14033.00 frames. utt_duration=711.9 frames, utt_pad_proportion=0.05712, over 79.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3495, pruned_loss=0.1047, over 2779879.25 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07019, over 44460.11 utterances.], batch size: 79, lr: 2.15e-04
+2022-09-18 21:00:10,648 INFO [train.py:885] (1/2) Epoch 22, batch 2750, loss[loss=0.2873, simple_loss=0.3751, pruned_loss=0.09974, over 13970.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05778, over 365.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3523, pruned_loss=0.1057, over 2782900.78 frames. utt_duration=244.6 frames, utt_pad_proportion=0.06954, over 45784.37 utterances.], batch size: 365, lr: 2.15e-04
+2022-09-18 21:00:39,989 INFO [train.py:885] (1/2) Epoch 22, batch 2800, loss[loss=0.1758, simple_loss=0.2386, pruned_loss=0.05649, over 12893.00 frames. utt_duration=2065 frames, utt_pad_proportion=0.1244, over 25.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3501, pruned_loss=0.1047, over 2775849.21 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07225, over 45296.53 utterances.], batch size: 25, lr: 2.15e-04
+2022-09-18 21:01:09,655 INFO [train.py:885] (1/2) Epoch 22, batch 2850, loss[loss=0.2928, simple_loss=0.366, pruned_loss=0.1098, over 14344.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03402, over 244.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.353, pruned_loss=0.1051, over 2776093.05 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07317, over 47165.48 utterances.], batch size: 244, lr: 2.15e-04
+2022-09-18 21:01:39,509 INFO [train.py:885] (1/2) Epoch 22, batch 2900, loss[loss=0.3253, simple_loss=0.4304, pruned_loss=0.1101, over 13589.00 frames. utt_duration=98.46 frames, utt_pad_proportion=0.07982, over 560.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.352, pruned_loss=0.1052, over 2770708.63 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07538, over 46368.42 utterances.], batch size: 560, lr: 2.15e-04
+2022-09-18 21:02:09,084 INFO [train.py:885] (1/2) Epoch 22, batch 2950, loss[loss=0.2874, simple_loss=0.3646, pruned_loss=0.1051, over 14322.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03834, over 283.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3509, pruned_loss=0.1048, over 2771891.87 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07525, over 45737.69 utterances.], batch size: 283, lr: 2.15e-04
+2022-09-18 21:02:39,429 INFO [train.py:885] (1/2) Epoch 22, batch 3000, loss[loss=0.3484, simple_loss=0.418, pruned_loss=0.1394, over 14041.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05548, over 366.00 utterances.], tot_loss[loss=0.28, simple_loss=0.351, pruned_loss=0.1045, over 2776757.62 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07377, over 45880.52 utterances.], batch size: 366, lr: 2.15e-04
+2022-09-18 21:02:39,430 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 21:02:43,941 INFO [train.py:914] (1/2) Epoch 22, validation: loss=0.193, simple_loss=0.2725, pruned_loss=0.05676, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 21:03:13,400 INFO [train.py:885] (1/2) Epoch 22, batch 3050, loss[loss=0.4245, simple_loss=0.4487, pruned_loss=0.2002, over 14231.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04304, over 335.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3531, pruned_loss=0.1061, over 2775629.34 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07289, over 46275.11 utterances.], batch size: 335, lr: 2.15e-04
+2022-09-18 21:03:44,239 INFO [train.py:885] (1/2) Epoch 22, batch 3100, loss[loss=0.4799, simple_loss=0.5683, pruned_loss=0.1958, over 12500.00 frames. utt_duration=63.31 frames, utt_pad_proportion=0.1445, over 810.00 utterances.], tot_loss[loss=0.2824, simple_loss=0.3541, pruned_loss=0.1054, over 2773322.84 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07466, over 47999.88 utterances.], batch size: 810, lr: 2.15e-04
+2022-09-18 21:04:13,640 INFO [train.py:885] (1/2) Epoch 22, batch 3150, loss[loss=0.3443, simple_loss=0.4423, pruned_loss=0.1232, over 13618.00 frames. utt_duration=98.71 frames, utt_pad_proportion=0.0775, over 560.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3529, pruned_loss=0.1057, over 2778960.85 frames. utt_duration=236.7 frames, utt_pad_proportion=0.0728, over 47262.51 utterances.], batch size: 560, lr: 2.15e-04
+2022-09-18 21:04:43,582 INFO [train.py:885] (1/2) Epoch 22, batch 3200, loss[loss=0.3007, simple_loss=0.3688, pruned_loss=0.1163, over 14343.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03689, over 210.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3537, pruned_loss=0.1054, over 2782923.53 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07293, over 47551.49 utterances.], batch size: 210, lr: 2.15e-04
+2022-09-18 21:05:13,175 INFO [train.py:885] (1/2) Epoch 22, batch 3250, loss[loss=0.1486, simple_loss=0.199, pruned_loss=0.04909, over 12800.00 frames. utt_duration=2050 frames, utt_pad_proportion=0.1327, over 25.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3498, pruned_loss=0.1043, over 2785307.29 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07121, over 45460.39 utterances.], batch size: 25, lr: 2.15e-04
+2022-09-18 21:05:43,101 INFO [train.py:885] (1/2) Epoch 22, batch 3300, loss[loss=0.2426, simple_loss=0.3169, pruned_loss=0.08416, over 14149.00 frames. utt_duration=520.8 frames, utt_pad_proportion=0.04612, over 109.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3494, pruned_loss=0.1038, over 2785766.98 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06922, over 45138.23 utterances.], batch size: 109, lr: 2.15e-04
+2022-09-18 21:06:12,897 INFO [train.py:885] (1/2) Epoch 22, batch 3350, loss[loss=0.1526, simple_loss=0.2232, pruned_loss=0.04096, over 13088.00 frames. utt_duration=1588 frames, utt_pad_proportion=0.1222, over 33.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.351, pruned_loss=0.1042, over 2785255.38 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07039, over 46219.72 utterances.], batch size: 33, lr: 2.15e-04
+2022-09-18 21:06:42,257 INFO [train.py:885] (1/2) Epoch 22, batch 3400, loss[loss=0.3006, simple_loss=0.3792, pruned_loss=0.111, over 14184.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04552, over 306.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3494, pruned_loss=0.1039, over 2782065.04 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07131, over 45413.50 utterances.], batch size: 306, lr: 2.15e-04
+2022-09-18 21:07:11,612 INFO [train.py:885] (1/2) Epoch 22, batch 3450, loss[loss=0.2816, simple_loss=0.3775, pruned_loss=0.09284, over 13705.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07554, over 411.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.352, pruned_loss=0.1047, over 2784908.81 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07082, over 46569.80 utterances.], batch size: 411, lr: 2.15e-04
+2022-09-18 21:07:41,249 INFO [train.py:885] (1/2) Epoch 22, batch 3500, loss[loss=0.2549, simple_loss=0.3338, pruned_loss=0.08799, over 14345.00 frames. utt_duration=374.2 frames, utt_pad_proportion=0.03794, over 154.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3493, pruned_loss=0.1033, over 2786406.58 frames. utt_duration=246 frames, utt_pad_proportion=0.0704, over 45575.23 utterances.], batch size: 154, lr: 2.15e-04
+2022-09-18 21:08:10,609 INFO [train.py:885] (1/2) Epoch 22, batch 3550, loss[loss=0.3059, simple_loss=0.3995, pruned_loss=0.1062, over 13695.00 frames. utt_duration=134.9 frames, utt_pad_proportion=0.07599, over 411.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3503, pruned_loss=0.104, over 2786252.55 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07141, over 45972.42 utterances.], batch size: 411, lr: 2.15e-04
+2022-09-18 21:08:40,388 INFO [train.py:885] (1/2) Epoch 22, batch 3600, loss[loss=0.2597, simple_loss=0.3337, pruned_loss=0.09284, over 14309.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.0381, over 180.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3501, pruned_loss=0.1039, over 2782732.33 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07198, over 46512.92 utterances.], batch size: 180, lr: 2.15e-04
+2022-09-18 21:09:09,299 INFO [train.py:885] (1/2) Epoch 22, batch 3650, loss[loss=0.1955, simple_loss=0.2616, pruned_loss=0.06468, over 13366.00 frames. utt_duration=1071 frames, utt_pad_proportion=0.09035, over 50.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3531, pruned_loss=0.1049, over 2782466.95 frames. utt_duration=236.8 frames, utt_pad_proportion=0.073, over 47306.79 utterances.], batch size: 50, lr: 2.14e-04
+2022-09-18 21:09:39,133 INFO [train.py:885] (1/2) Epoch 22, batch 3700, loss[loss=0.281, simple_loss=0.339, pruned_loss=0.1115, over 14297.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.0386, over 130.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3492, pruned_loss=0.1035, over 2780604.03 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07274, over 45291.86 utterances.], batch size: 130, lr: 2.14e-04
+2022-09-18 21:10:08,923 INFO [train.py:885] (1/2) Epoch 22, batch 3750, loss[loss=0.295, simple_loss=0.4012, pruned_loss=0.09434, over 13609.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08233, over 477.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3482, pruned_loss=0.1028, over 2778415.49 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07226, over 44951.76 utterances.], batch size: 477, lr: 2.14e-04
+2022-09-18 21:10:38,824 INFO [train.py:885] (1/2) Epoch 22, batch 3800, loss[loss=0.2161, simple_loss=0.2915, pruned_loss=0.07032, over 14085.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05532, over 98.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3519, pruned_loss=0.1041, over 2780388.98 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07315, over 46809.06 utterances.], batch size: 98, lr: 2.14e-04
+2022-09-18 21:11:08,619 INFO [train.py:885] (1/2) Epoch 22, batch 3850, loss[loss=0.2867, simple_loss=0.3902, pruned_loss=0.0916, over 13805.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07187, over 412.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3545, pruned_loss=0.1055, over 2780331.51 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07296, over 47814.11 utterances.], batch size: 412, lr: 2.14e-04
+2022-09-18 21:11:37,871 INFO [train.py:885] (1/2) Epoch 22, batch 3900, loss[loss=0.2445, simple_loss=0.3158, pruned_loss=0.08661, over 14087.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05181, over 98.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3508, pruned_loss=0.1043, over 2782583.96 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07111, over 45968.81 utterances.], batch size: 98, lr: 2.14e-04
+2022-09-18 21:12:07,457 INFO [train.py:885] (1/2) Epoch 22, batch 3950, loss[loss=0.1987, simple_loss=0.278, pruned_loss=0.05972, over 13863.00 frames. utt_duration=805 frames, utt_pad_proportion=0.06286, over 69.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3506, pruned_loss=0.1042, over 2783202.56 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07098, over 45743.84 utterances.], batch size: 69, lr: 2.14e-04
+2022-09-18 21:12:37,111 INFO [train.py:885] (1/2) Epoch 22, batch 4000, loss[loss=0.2512, simple_loss=0.3161, pruned_loss=0.0932, over 14185.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04438, over 109.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3499, pruned_loss=0.1039, over 2782789.50 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07156, over 45610.23 utterances.], batch size: 109, lr: 2.14e-04
+2022-09-18 21:13:07,092 INFO [train.py:885] (1/2) Epoch 22, batch 4050, loss[loss=0.2622, simple_loss=0.3344, pruned_loss=0.09499, over 14316.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03747, over 180.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3525, pruned_loss=0.1056, over 2787184.29 frames. utt_duration=245 frames, utt_pad_proportion=0.07108, over 45784.46 utterances.], batch size: 180, lr: 2.14e-04
+2022-09-18 21:13:36,831 INFO [train.py:885] (1/2) Epoch 22, batch 4100, loss[loss=0.4169, simple_loss=0.5047, pruned_loss=0.1645, over 13162.00 frames. utt_duration=82.19 frames, utt_pad_proportion=0.1066, over 653.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3533, pruned_loss=0.106, over 2784251.41 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07263, over 46617.95 utterances.], batch size: 653, lr: 2.14e-04
+2022-09-18 21:14:06,158 INFO [train.py:885] (1/2) Epoch 22, batch 4150, loss[loss=0.1509, simple_loss=0.2111, pruned_loss=0.04534, over 12340.00 frames. utt_duration=2058 frames, utt_pad_proportion=0.1502, over 24.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3502, pruned_loss=0.1045, over 2785995.53 frames. utt_duration=248.9 frames, utt_pad_proportion=0.0716, over 45041.59 utterances.], batch size: 24, lr: 2.14e-04
+2022-09-18 21:14:35,661 INFO [train.py:885] (1/2) Epoch 22, batch 4200, loss[loss=0.1722, simple_loss=0.2329, pruned_loss=0.0558, over 13442.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.08593, over 50.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3496, pruned_loss=0.1038, over 2785011.15 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07145, over 45239.87 utterances.], batch size: 50, lr: 2.14e-04
+2022-09-18 21:15:05,540 INFO [train.py:885] (1/2) Epoch 22, batch 4250, loss[loss=0.2789, simple_loss=0.3586, pruned_loss=0.09963, over 14290.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04115, over 262.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3518, pruned_loss=0.105, over 2789917.06 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06868, over 45931.32 utterances.], batch size: 262, lr: 2.14e-04
+2022-09-18 21:15:35,288 INFO [train.py:885] (1/2) Epoch 22, batch 4300, loss[loss=0.2457, simple_loss=0.3254, pruned_loss=0.08297, over 14325.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03856, over 130.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3518, pruned_loss=0.1044, over 2784286.84 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07098, over 47028.64 utterances.], batch size: 130, lr: 2.14e-04
+2022-09-18 21:16:05,197 INFO [train.py:885] (1/2) Epoch 22, batch 4350, loss[loss=0.1678, simple_loss=0.2379, pruned_loss=0.04887, over 13455.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.09123, over 50.00 utterances.], tot_loss[loss=0.2833, simple_loss=0.3545, pruned_loss=0.106, over 2783469.38 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07299, over 48260.59 utterances.], batch size: 50, lr: 2.14e-04
+2022-09-18 21:16:35,222 INFO [train.py:885] (1/2) Epoch 22, batch 4400, loss[loss=0.3006, simple_loss=0.358, pruned_loss=0.1216, over 14268.00 frames. utt_duration=440.3 frames, utt_pad_proportion=0.04079, over 130.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.352, pruned_loss=0.1049, over 2784744.63 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07069, over 47183.56 utterances.], batch size: 130, lr: 2.14e-04
+2022-09-18 21:17:05,690 INFO [train.py:885] (1/2) Epoch 22, batch 4450, loss[loss=0.2037, simple_loss=0.2718, pruned_loss=0.06773, over 14193.00 frames. utt_duration=639.4 frames, utt_pad_proportion=0.04715, over 89.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3529, pruned_loss=0.1056, over 2783290.54 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07169, over 46837.34 utterances.], batch size: 89, lr: 2.14e-04
+2022-09-18 21:17:35,695 INFO [train.py:885] (1/2) Epoch 22, batch 4500, loss[loss=0.2603, simple_loss=0.3394, pruned_loss=0.09058, over 14358.00 frames. utt_duration=374.5 frames, utt_pad_proportion=0.03474, over 154.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3526, pruned_loss=0.1054, over 2785897.42 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06992, over 46254.89 utterances.], batch size: 154, lr: 2.14e-04
+2022-09-18 21:18:05,423 INFO [train.py:885] (1/2) Epoch 22, batch 4550, loss[loss=0.1355, simple_loss=0.1933, pruned_loss=0.03879, over 13184.00 frames. utt_duration=1288 frames, utt_pad_proportion=0.1009, over 41.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3489, pruned_loss=0.1034, over 2785181.52 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06891, over 44807.99 utterances.], batch size: 41, lr: 2.14e-04
+2022-09-18 21:18:35,561 INFO [train.py:885] (1/2) Epoch 22, batch 4600, loss[loss=0.2562, simple_loss=0.3412, pruned_loss=0.0856, over 14301.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03835, over 180.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3519, pruned_loss=0.105, over 2782595.05 frames. utt_duration=243.9 frames, utt_pad_proportion=0.06973, over 45919.72 utterances.], batch size: 180, lr: 2.14e-04
+2022-09-18 21:19:05,399 INFO [train.py:885] (1/2) Epoch 22, batch 4650, loss[loss=0.1625, simple_loss=0.2188, pruned_loss=0.05306, over 13077.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1117, over 33.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3515, pruned_loss=0.104, over 2781084.35 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07075, over 47125.97 utterances.], batch size: 33, lr: 2.14e-04
+2022-09-18 21:19:35,227 INFO [train.py:885] (1/2) Epoch 22, batch 4700, loss[loss=0.3959, simple_loss=0.4899, pruned_loss=0.1509, over 13156.00 frames. utt_duration=82.08 frames, utt_pad_proportion=0.1079, over 653.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3541, pruned_loss=0.1047, over 2781473.24 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07068, over 47478.67 utterances.], batch size: 653, lr: 2.14e-04
+2022-09-18 21:20:05,602 INFO [train.py:885] (1/2) Epoch 22, batch 4750, loss[loss=0.2822, simple_loss=0.356, pruned_loss=0.1042, over 14285.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04032, over 283.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3528, pruned_loss=0.1045, over 2783049.27 frames. utt_duration=240 frames, utt_pad_proportion=0.07085, over 46671.78 utterances.], batch size: 283, lr: 2.14e-04
+2022-09-18 21:20:35,365 INFO [train.py:885] (1/2) Epoch 22, batch 4800, loss[loss=0.182, simple_loss=0.27, pruned_loss=0.04693, over 13493.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.09078, over 50.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.349, pruned_loss=0.1032, over 2783486.85 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06885, over 44745.88 utterances.], batch size: 50, lr: 2.14e-04
+2022-09-18 21:21:05,770 INFO [train.py:885] (1/2) Epoch 22, batch 4850, loss[loss=0.1767, simple_loss=0.2498, pruned_loss=0.05187, over 13648.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.07743, over 50.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.349, pruned_loss=0.1027, over 2782675.17 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06889, over 44892.05 utterances.], batch size: 50, lr: 2.14e-04
+2022-09-18 21:21:35,378 INFO [train.py:885] (1/2) Epoch 22, batch 4900, loss[loss=0.6242, simple_loss=0.6702, pruned_loss=0.2891, over 12500.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1447, over 810.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3484, pruned_loss=0.1021, over 2783957.54 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06744, over 44562.95 utterances.], batch size: 810, lr: 2.14e-04
+2022-09-18 21:22:05,304 INFO [train.py:885] (1/2) Epoch 22, batch 4950, loss[loss=0.1685, simple_loss=0.2437, pruned_loss=0.04661, over 13782.00 frames. utt_duration=920.4 frames, utt_pad_proportion=0.07406, over 60.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3497, pruned_loss=0.1021, over 2783654.64 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06825, over 45490.53 utterances.], batch size: 60, lr: 2.14e-04
+2022-09-18 21:22:34,839 INFO [train.py:885] (1/2) Epoch 22, batch 5000, loss[loss=0.3124, simple_loss=0.3723, pruned_loss=0.1262, over 14310.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04076, over 154.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3498, pruned_loss=0.1034, over 2787318.56 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06699, over 45149.97 utterances.], batch size: 154, lr: 2.14e-04
+2022-09-18 21:23:04,885 INFO [train.py:885] (1/2) Epoch 22, batch 5050, loss[loss=0.2183, simple_loss=0.2821, pruned_loss=0.07724, over 14122.00 frames. utt_duration=636.2 frames, utt_pad_proportion=0.05188, over 89.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3504, pruned_loss=0.1034, over 2786062.90 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06841, over 45687.06 utterances.], batch size: 89, lr: 2.14e-04
+2022-09-18 21:23:35,089 INFO [train.py:885] (1/2) Epoch 22, batch 5100, loss[loss=0.5114, simple_loss=0.5938, pruned_loss=0.2145, over 12488.00 frames. utt_duration=63.25 frames, utt_pad_proportion=0.1453, over 810.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3529, pruned_loss=0.1052, over 2783653.02 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07103, over 46789.57 utterances.], batch size: 810, lr: 2.14e-04
+2022-09-18 21:24:04,709 INFO [train.py:885] (1/2) Epoch 22, batch 5150, loss[loss=0.3138, simple_loss=0.4019, pruned_loss=0.1129, over 14004.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05573, over 365.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3526, pruned_loss=0.1052, over 2782996.67 frames. utt_duration=239.9 frames, utt_pad_proportion=0.06981, over 46690.01 utterances.], batch size: 365, lr: 2.14e-04
+2022-09-18 21:24:34,289 INFO [train.py:885] (1/2) Epoch 22, batch 5200, loss[loss=0.2244, simple_loss=0.3094, pruned_loss=0.06972, over 14314.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03722, over 130.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3526, pruned_loss=0.1054, over 2782934.82 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07021, over 46891.56 utterances.], batch size: 130, lr: 2.14e-04
+2022-09-18 21:25:04,192 INFO [train.py:885] (1/2) Epoch 22, batch 5250, loss[loss=0.2923, simple_loss=0.3639, pruned_loss=0.1103, over 14291.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04088, over 262.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3529, pruned_loss=0.1055, over 2784478.31 frames. utt_duration=237 frames, utt_pad_proportion=0.07152, over 47295.75 utterances.], batch size: 262, lr: 2.14e-04
+2022-09-18 21:25:34,064 INFO [train.py:885] (1/2) Epoch 22, batch 5300, loss[loss=0.2773, simple_loss=0.3468, pruned_loss=0.1039, over 14283.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.03958, over 154.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3508, pruned_loss=0.1047, over 2785386.68 frames. utt_duration=239.6 frames, utt_pad_proportion=0.0703, over 46792.56 utterances.], batch size: 154, lr: 2.14e-04
+2022-09-18 21:26:03,837 INFO [train.py:885] (1/2) Epoch 22, batch 5350, loss[loss=0.3204, simple_loss=0.3862, pruned_loss=0.1272, over 14260.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04132, over 335.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3467, pruned_loss=0.1022, over 2781408.68 frames. utt_duration=246 frames, utt_pad_proportion=0.07239, over 45496.16 utterances.], batch size: 335, lr: 2.14e-04
+2022-09-18 21:26:33,774 INFO [train.py:885] (1/2) Epoch 22, batch 5400, loss[loss=0.2361, simple_loss=0.279, pruned_loss=0.09663, over 13914.00 frames. utt_duration=929 frames, utt_pad_proportion=0.0663, over 60.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3486, pruned_loss=0.103, over 2779394.16 frames. utt_duration=242 frames, utt_pad_proportion=0.07403, over 46221.34 utterances.], batch size: 60, lr: 2.14e-04
+2022-09-18 21:27:03,527 INFO [train.py:885] (1/2) Epoch 22, batch 5450, loss[loss=0.1894, simple_loss=0.2559, pruned_loss=0.06147, over 13875.00 frames. utt_duration=805.8 frames, utt_pad_proportion=0.06189, over 69.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3477, pruned_loss=0.1025, over 2778283.85 frames. utt_duration=245.1 frames, utt_pad_proportion=0.0742, over 45627.04 utterances.], batch size: 69, lr: 2.14e-04
+2022-09-18 21:27:33,764 INFO [train.py:885] (1/2) Epoch 22, batch 5500, loss[loss=0.1673, simple_loss=0.2307, pruned_loss=0.05193, over 13133.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.105, over 33.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3441, pruned_loss=0.1012, over 2774678.21 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07482, over 44398.16 utterances.], batch size: 33, lr: 2.14e-04
+2022-09-18 21:28:03,218 INFO [train.py:885] (1/2) Epoch 22, batch 5550, loss[loss=0.3213, simple_loss=0.3822, pruned_loss=0.1302, over 14321.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0383, over 283.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3472, pruned_loss=0.103, over 2778917.68 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07382, over 44940.48 utterances.], batch size: 283, lr: 2.14e-04
+2022-09-18 21:28:33,408 INFO [train.py:885] (1/2) Epoch 22, batch 5600, loss[loss=0.3304, simple_loss=0.411, pruned_loss=0.1249, over 13768.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07229, over 411.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3463, pruned_loss=0.1023, over 2774800.84 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07354, over 44902.27 utterances.], batch size: 411, lr: 2.14e-04
+2022-09-18 21:29:03,329 INFO [train.py:885] (1/2) Epoch 22, batch 5650, loss[loss=0.3773, simple_loss=0.4248, pruned_loss=0.1649, over 14227.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04329, over 335.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3489, pruned_loss=0.1032, over 2776218.50 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07339, over 45999.36 utterances.], batch size: 335, lr: 2.14e-04
+2022-09-18 21:29:32,744 INFO [train.py:885] (1/2) Epoch 22, batch 5700, loss[loss=0.196, simple_loss=0.2694, pruned_loss=0.06131, over 13578.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08511, over 50.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3469, pruned_loss=0.1029, over 2781988.79 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06996, over 44331.74 utterances.], batch size: 50, lr: 2.14e-04
+2022-09-18 21:30:02,893 INFO [train.py:885] (1/2) Epoch 22, batch 5750, loss[loss=0.2053, simple_loss=0.266, pruned_loss=0.07227, over 13887.00 frames. utt_duration=927.3 frames, utt_pad_proportion=0.06519, over 60.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3472, pruned_loss=0.1025, over 2780441.08 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07002, over 44840.15 utterances.], batch size: 60, lr: 2.14e-04
+2022-09-18 21:30:32,929 INFO [train.py:885] (1/2) Epoch 22, batch 5800, loss[loss=0.3095, simple_loss=0.3689, pruned_loss=0.1251, over 14286.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.03946, over 154.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3484, pruned_loss=0.1033, over 2782183.73 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06974, over 44852.62 utterances.], batch size: 154, lr: 2.14e-04
+2022-09-18 21:31:03,114 INFO [train.py:885] (1/2) Epoch 22, batch 5850, loss[loss=0.3749, simple_loss=0.4268, pruned_loss=0.1614, over 14258.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04179, over 335.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.35, pruned_loss=0.1042, over 2778372.57 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07139, over 45133.15 utterances.], batch size: 335, lr: 2.14e-04
+2022-09-18 21:31:32,778 INFO [train.py:885] (1/2) Epoch 22, batch 5900, loss[loss=0.2464, simple_loss=0.3212, pruned_loss=0.08582, over 14211.00 frames. utt_duration=404.6 frames, utt_pad_proportion=0.04809, over 141.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3492, pruned_loss=0.1032, over 2777447.61 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07165, over 45169.97 utterances.], batch size: 141, lr: 2.14e-04
+2022-09-18 21:32:02,531 INFO [train.py:885] (1/2) Epoch 22, batch 5950, loss[loss=0.2511, simple_loss=0.3306, pruned_loss=0.08586, over 14341.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03935, over 167.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3473, pruned_loss=0.1023, over 2779200.04 frames. utt_duration=253 frames, utt_pad_proportion=0.0712, over 44201.75 utterances.], batch size: 167, lr: 2.14e-04
+2022-09-18 21:32:32,202 INFO [train.py:885] (1/2) Epoch 22, batch 6000, loss[loss=0.3586, simple_loss=0.3933, pruned_loss=0.162, over 14028.00 frames. utt_duration=574 frames, utt_pad_proportion=0.059, over 98.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3493, pruned_loss=0.1034, over 2778918.30 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07226, over 45018.90 utterances.], batch size: 98, lr: 2.14e-04
+2022-09-18 21:32:32,203 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 21:32:36,544 INFO [train.py:914] (1/2) Epoch 22, validation: loss=0.1975, simple_loss=0.2767, pruned_loss=0.05915, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 21:33:06,461 INFO [train.py:885] (1/2) Epoch 22, batch 6050, loss[loss=0.2787, simple_loss=0.3584, pruned_loss=0.09951, over 14336.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.0373, over 195.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.351, pruned_loss=0.1047, over 2782444.11 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07211, over 45604.53 utterances.], batch size: 195, lr: 2.14e-04
+2022-09-18 21:33:36,745 INFO [train.py:885] (1/2) Epoch 22, batch 6100, loss[loss=0.2411, simple_loss=0.3266, pruned_loss=0.07782, over 14320.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04045, over 167.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3501, pruned_loss=0.1038, over 2779425.45 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07181, over 45638.77 utterances.], batch size: 167, lr: 2.14e-04
+2022-09-18 21:34:06,231 INFO [train.py:885] (1/2) Epoch 22, batch 6150, loss[loss=0.3202, simple_loss=0.4111, pruned_loss=0.1146, over 13799.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07009, over 411.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3489, pruned_loss=0.1031, over 2779477.24 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07118, over 45131.79 utterances.], batch size: 411, lr: 2.13e-04
+2022-09-18 21:34:36,642 INFO [train.py:885] (1/2) Epoch 22, batch 6200, loss[loss=0.2739, simple_loss=0.3482, pruned_loss=0.0998, over 14301.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04131, over 154.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3504, pruned_loss=0.1033, over 2775121.61 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07427, over 45995.29 utterances.], batch size: 154, lr: 2.13e-04
+2022-09-18 21:35:06,071 INFO [train.py:885] (1/2) Epoch 22, batch 6250, loss[loss=0.1972, simple_loss=0.2715, pruned_loss=0.06148, over 12976.00 frames. utt_duration=1574 frames, utt_pad_proportion=0.1155, over 33.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3503, pruned_loss=0.1039, over 2776728.47 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07178, over 45441.42 utterances.], batch size: 33, lr: 2.13e-04
+2022-09-18 21:35:36,485 INFO [train.py:885] (1/2) Epoch 22, batch 6300, loss[loss=0.3095, simple_loss=0.3946, pruned_loss=0.1122, over 13792.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07029, over 411.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3489, pruned_loss=0.1028, over 2774075.49 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07135, over 45694.87 utterances.], batch size: 411, lr: 2.13e-04
+2022-09-18 21:36:07,007 INFO [train.py:885] (1/2) Epoch 22, batch 6350, loss[loss=0.3417, simple_loss=0.4387, pruned_loss=0.1224, over 13587.00 frames. utt_duration=98.51 frames, utt_pad_proportion=0.07931, over 560.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.355, pruned_loss=0.1051, over 2772342.04 frames. utt_duration=230 frames, utt_pad_proportion=0.07559, over 48526.41 utterances.], batch size: 560, lr: 2.13e-04
+2022-09-18 21:36:35,855 INFO [train.py:885] (1/2) Epoch 22, batch 6400, loss[loss=0.3006, simple_loss=0.3752, pruned_loss=0.113, over 14307.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04008, over 262.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3551, pruned_loss=0.1056, over 2773678.16 frames. utt_duration=231.3 frames, utt_pad_proportion=0.07405, over 48278.43 utterances.], batch size: 262, lr: 2.13e-04
+2022-09-18 21:37:06,062 INFO [train.py:885] (1/2) Epoch 22, batch 6450, loss[loss=0.2915, simple_loss=0.3259, pruned_loss=0.1286, over 13993.00 frames. utt_duration=710 frames, utt_pad_proportion=0.06086, over 79.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3552, pruned_loss=0.1061, over 2773439.35 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07534, over 48318.19 utterances.], batch size: 79, lr: 2.13e-04
+2022-09-18 21:37:35,764 INFO [train.py:885] (1/2) Epoch 22, batch 6500, loss[loss=0.283, simple_loss=0.3575, pruned_loss=0.1043, over 14327.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03784, over 210.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3522, pruned_loss=0.1051, over 2774213.70 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07329, over 47018.52 utterances.], batch size: 210, lr: 2.13e-04
+2022-09-18 21:38:05,561 INFO [train.py:885] (1/2) Epoch 22, batch 6550, loss[loss=0.1522, simple_loss=0.2061, pruned_loss=0.04908, over 13462.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.08921, over 50.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3487, pruned_loss=0.1034, over 2773279.45 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07345, over 46154.90 utterances.], batch size: 50, lr: 2.13e-04
+2022-09-18 21:38:35,238 INFO [train.py:885] (1/2) Epoch 22, batch 6600, loss[loss=0.2078, simple_loss=0.2803, pruned_loss=0.06763, over 13119.00 frames. utt_duration=2020 frames, utt_pad_proportion=0.1246, over 26.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3492, pruned_loss=0.1033, over 2777689.81 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07233, over 45738.10 utterances.], batch size: 26, lr: 2.13e-04
+2022-09-18 21:39:05,507 INFO [train.py:885] (1/2) Epoch 22, batch 6650, loss[loss=0.1925, simple_loss=0.2591, pruned_loss=0.06294, over 13895.00 frames. utt_duration=807 frames, utt_pad_proportion=0.06057, over 69.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3515, pruned_loss=0.1039, over 2778139.29 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07277, over 47429.24 utterances.], batch size: 69, lr: 2.13e-04
+2022-09-18 21:39:33,836 INFO [train.py:885] (1/2) Epoch 22, batch 6700, loss[loss=0.2191, simple_loss=0.2893, pruned_loss=0.07452, over 14212.00 frames. utt_duration=581.4 frames, utt_pad_proportion=0.04539, over 98.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3491, pruned_loss=0.1037, over 2787157.90 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06906, over 45254.08 utterances.], batch size: 98, lr: 2.13e-04
+2022-09-18 21:40:03,955 INFO [train.py:885] (1/2) Epoch 22, batch 6750, loss[loss=0.4658, simple_loss=0.5353, pruned_loss=0.1981, over 13212.00 frames. utt_duration=82.5 frames, utt_pad_proportion=0.1033, over 653.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3485, pruned_loss=0.1029, over 2788671.12 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06891, over 44903.26 utterances.], batch size: 653, lr: 2.13e-04
+2022-09-18 21:40:33,415 INFO [train.py:885] (1/2) Epoch 22, batch 6800, loss[loss=0.3128, simple_loss=0.3778, pruned_loss=0.1239, over 14365.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.0369, over 244.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3452, pruned_loss=0.1016, over 2781047.57 frames. utt_duration=255.8 frames, utt_pad_proportion=0.0687, over 43737.32 utterances.], batch size: 244, lr: 2.13e-04
+2022-09-18 21:41:02,988 INFO [train.py:885] (1/2) Epoch 22, batch 6850, loss[loss=0.2683, simple_loss=0.3392, pruned_loss=0.09874, over 14301.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03864, over 180.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3445, pruned_loss=0.1011, over 2782962.42 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06794, over 44011.67 utterances.], batch size: 180, lr: 2.13e-04
+2022-09-18 21:41:32,463 INFO [train.py:885] (1/2) Epoch 22, batch 6900, loss[loss=0.5146, simple_loss=0.5714, pruned_loss=0.2289, over 13162.00 frames. utt_duration=82.15 frames, utt_pad_proportion=0.1071, over 653.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3503, pruned_loss=0.1043, over 2783098.76 frames. utt_duration=245.5 frames, utt_pad_proportion=0.06943, over 45625.60 utterances.], batch size: 653, lr: 2.13e-04
+2022-09-18 21:42:01,796 INFO [train.py:885] (1/2) Epoch 22, batch 6950, loss[loss=0.2958, simple_loss=0.3725, pruned_loss=0.1096, over 14294.00 frames. utt_duration=274 frames, utt_pad_proportion=0.03876, over 210.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3501, pruned_loss=0.104, over 2785419.20 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06919, over 45575.53 utterances.], batch size: 210, lr: 2.13e-04
+2022-09-18 21:42:32,531 INFO [train.py:885] (1/2) Epoch 22, batch 7000, loss[loss=0.3231, simple_loss=0.4243, pruned_loss=0.1109, over 13640.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08026, over 477.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3488, pruned_loss=0.1027, over 2784937.34 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06992, over 45127.05 utterances.], batch size: 477, lr: 2.13e-04
+2022-09-18 21:43:01,453 INFO [train.py:885] (1/2) Epoch 22, batch 7050, loss[loss=0.4785, simple_loss=0.5723, pruned_loss=0.1923, over 12525.00 frames. utt_duration=63.38 frames, utt_pad_proportion=0.1436, over 810.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3476, pruned_loss=0.1023, over 2786824.80 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06952, over 44807.51 utterances.], batch size: 810, lr: 2.13e-04
+2022-09-18 21:43:30,991 INFO [train.py:885] (1/2) Epoch 22, batch 7100, loss[loss=0.1895, simple_loss=0.2365, pruned_loss=0.0712, over 13215.00 frames. utt_duration=1603 frames, utt_pad_proportion=0.1107, over 33.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3461, pruned_loss=0.1019, over 2783192.80 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06941, over 44452.21 utterances.], batch size: 33, lr: 2.13e-04
+2022-09-18 21:44:01,129 INFO [train.py:885] (1/2) Epoch 22, batch 7150, loss[loss=0.328, simple_loss=0.4315, pruned_loss=0.1122, over 13212.00 frames. utt_duration=82.46 frames, utt_pad_proportion=0.1037, over 653.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3472, pruned_loss=0.1024, over 2783202.14 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07036, over 45089.25 utterances.], batch size: 653, lr: 2.13e-04
+2022-09-18 21:44:31,614 INFO [train.py:885] (1/2) Epoch 22, batch 7200, loss[loss=0.3231, simple_loss=0.4129, pruned_loss=0.1167, over 13637.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08254, over 478.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3473, pruned_loss=0.1012, over 2780473.37 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07026, over 45820.10 utterances.], batch size: 478, lr: 2.13e-04
+2022-09-18 21:45:00,943 INFO [train.py:885] (1/2) Epoch 22, batch 7250, loss[loss=0.2139, simple_loss=0.2827, pruned_loss=0.07248, over 14183.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.05112, over 80.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3449, pruned_loss=0.1007, over 2775227.03 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07036, over 44759.11 utterances.], batch size: 80, lr: 2.13e-04
+2022-09-18 21:45:30,021 INFO [train.py:885] (1/2) Epoch 22, batch 7300, loss[loss=0.2791, simple_loss=0.3555, pruned_loss=0.1013, over 14314.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03945, over 262.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.347, pruned_loss=0.1026, over 2776690.71 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07074, over 44402.23 utterances.], batch size: 262, lr: 2.13e-04
+2022-09-18 21:45:59,259 INFO [train.py:885] (1/2) Epoch 22, batch 7350, loss[loss=0.2521, simple_loss=0.3303, pruned_loss=0.08697, over 14324.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04057, over 167.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3429, pruned_loss=0.1005, over 2777889.75 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06961, over 43124.40 utterances.], batch size: 167, lr: 2.13e-04
+2022-09-18 21:46:29,627 INFO [train.py:885] (1/2) Epoch 22, batch 7400, loss[loss=0.3168, simple_loss=0.384, pruned_loss=0.1248, over 14190.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04518, over 306.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3467, pruned_loss=0.1021, over 2780794.07 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07103, over 44341.27 utterances.], batch size: 306, lr: 2.13e-04
+2022-09-18 21:46:59,023 INFO [train.py:885] (1/2) Epoch 22, batch 7450, loss[loss=0.3001, simple_loss=0.3703, pruned_loss=0.1149, over 14378.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.03415, over 210.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3491, pruned_loss=0.103, over 2778443.16 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07158, over 45394.97 utterances.], batch size: 210, lr: 2.13e-04
+2022-09-18 21:47:28,960 INFO [train.py:885] (1/2) Epoch 22, batch 7500, loss[loss=0.2774, simple_loss=0.3524, pruned_loss=0.1012, over 14319.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04073, over 167.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3476, pruned_loss=0.1024, over 2781131.89 frames. utt_duration=251.9 frames, utt_pad_proportion=0.06959, over 44425.96 utterances.], batch size: 167, lr: 2.13e-04
+2022-09-18 21:47:58,039 INFO [train.py:885] (1/2) Epoch 22, batch 7550, loss[loss=0.2186, simple_loss=0.2866, pruned_loss=0.0753, over 14031.00 frames. utt_duration=712 frames, utt_pad_proportion=0.05699, over 79.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.347, pruned_loss=0.1024, over 2786092.54 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06726, over 43819.17 utterances.], batch size: 79, lr: 2.13e-04
+2022-09-18 21:48:35,518 INFO [train.py:885] (1/2) Epoch 22, batch 7600, loss[loss=0.2531, simple_loss=0.3338, pruned_loss=0.08625, over 14342.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03915, over 167.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3478, pruned_loss=0.1023, over 2782169.31 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06865, over 44665.09 utterances.], batch size: 167, lr: 2.13e-04
+2022-09-18 21:49:04,845 INFO [train.py:885] (1/2) Epoch 22, batch 7650, loss[loss=0.1556, simple_loss=0.2115, pruned_loss=0.04989, over 12660.00 frames. utt_duration=2027 frames, utt_pad_proportion=0.1287, over 25.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3467, pruned_loss=0.102, over 2788383.29 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06682, over 43908.34 utterances.], batch size: 25, lr: 2.13e-04
+2022-09-18 21:49:34,753 INFO [train.py:885] (1/2) Epoch 22, batch 7700, loss[loss=0.1876, simple_loss=0.2554, pruned_loss=0.05991, over 13957.00 frames. utt_duration=932 frames, utt_pad_proportion=0.06426, over 60.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3473, pruned_loss=0.1032, over 2785904.51 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06721, over 44049.88 utterances.], batch size: 60, lr: 2.13e-04
+2022-09-18 21:50:03,789 INFO [train.py:885] (1/2) Epoch 22, batch 7750, loss[loss=0.3518, simple_loss=0.432, pruned_loss=0.1358, over 13757.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07189, over 411.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3489, pruned_loss=0.1034, over 2784850.60 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06876, over 45315.99 utterances.], batch size: 411, lr: 2.13e-04
+2022-09-18 21:50:33,757 INFO [train.py:885] (1/2) Epoch 22, batch 7800, loss[loss=0.1921, simple_loss=0.2652, pruned_loss=0.05948, over 14158.00 frames. utt_duration=718.3 frames, utt_pad_proportion=0.04986, over 79.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3522, pruned_loss=0.1049, over 2781941.24 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07211, over 46638.60 utterances.], batch size: 79, lr: 2.13e-04
+2022-09-18 21:51:03,128 INFO [train.py:885] (1/2) Epoch 22, batch 7850, loss[loss=0.1701, simple_loss=0.2519, pruned_loss=0.04422, over 13781.00 frames. utt_duration=800.3 frames, utt_pad_proportion=0.06838, over 69.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3495, pruned_loss=0.1036, over 2783184.49 frames. utt_duration=243.9 frames, utt_pad_proportion=0.0701, over 45916.98 utterances.], batch size: 69, lr: 2.13e-04
+2022-09-18 21:51:33,099 INFO [train.py:885] (1/2) Epoch 22, batch 7900, loss[loss=0.3056, simple_loss=0.3964, pruned_loss=0.1074, over 13854.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06858, over 412.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3476, pruned_loss=0.102, over 2782980.30 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06916, over 45743.12 utterances.], batch size: 412, lr: 2.13e-04
+2022-09-18 21:52:02,825 INFO [train.py:885] (1/2) Epoch 22, batch 7950, loss[loss=0.2523, simple_loss=0.3286, pruned_loss=0.08795, over 14303.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03952, over 120.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3517, pruned_loss=0.1032, over 2778853.49 frames. utt_duration=231.3 frames, utt_pad_proportion=0.07409, over 48357.76 utterances.], batch size: 120, lr: 2.13e-04
+2022-09-18 21:52:32,208 INFO [train.py:885] (1/2) Epoch 22, batch 8000, loss[loss=0.189, simple_loss=0.2543, pruned_loss=0.06187, over 13544.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08694, over 50.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3526, pruned_loss=0.1046, over 2776962.81 frames. utt_duration=230.6 frames, utt_pad_proportion=0.07434, over 48478.95 utterances.], batch size: 50, lr: 2.13e-04
+2022-09-18 21:53:01,875 INFO [train.py:885] (1/2) Epoch 22, batch 8050, loss[loss=0.1513, simple_loss=0.212, pruned_loss=0.0453, over 13512.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08967, over 50.00 utterances.], tot_loss[loss=0.2838, simple_loss=0.3554, pruned_loss=0.1061, over 2774098.86 frames. utt_duration=225.1 frames, utt_pad_proportion=0.07585, over 49623.85 utterances.], batch size: 50, lr: 2.13e-04
+2022-09-18 21:53:31,891 INFO [train.py:885] (1/2) Epoch 22, batch 8100, loss[loss=0.3496, simple_loss=0.4295, pruned_loss=0.1348, over 13799.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07058, over 411.00 utterances.], tot_loss[loss=0.2836, simple_loss=0.3551, pruned_loss=0.1061, over 2773588.87 frames. utt_duration=226.5 frames, utt_pad_proportion=0.07599, over 49312.92 utterances.], batch size: 411, lr: 2.13e-04
+2022-09-18 21:54:01,267 INFO [train.py:885] (1/2) Epoch 22, batch 8150, loss[loss=0.2884, simple_loss=0.3579, pruned_loss=0.1094, over 14321.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03719, over 154.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3539, pruned_loss=0.1058, over 2777737.97 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07417, over 48140.25 utterances.], batch size: 154, lr: 2.13e-04
+2022-09-18 21:54:31,411 INFO [train.py:885] (1/2) Epoch 22, batch 8200, loss[loss=0.1905, simple_loss=0.2554, pruned_loss=0.0628, over 12398.00 frames. utt_duration=2068 frames, utt_pad_proportion=0.1632, over 24.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3545, pruned_loss=0.1056, over 2777512.91 frames. utt_duration=230.3 frames, utt_pad_proportion=0.07385, over 48559.78 utterances.], batch size: 24, lr: 2.13e-04
+2022-09-18 21:55:00,263 INFO [train.py:885] (1/2) Epoch 22, batch 8250, loss[loss=0.1653, simple_loss=0.2229, pruned_loss=0.05384, over 12980.00 frames. utt_duration=1575 frames, utt_pad_proportion=0.1265, over 33.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3512, pruned_loss=0.1037, over 2777838.62 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07119, over 47056.74 utterances.], batch size: 33, lr: 2.13e-04
+2022-09-18 21:55:29,719 INFO [train.py:885] (1/2) Epoch 22, batch 8300, loss[loss=0.2635, simple_loss=0.3653, pruned_loss=0.08082, over 13778.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07113, over 411.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3526, pruned_loss=0.1042, over 2779366.80 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07316, over 47876.53 utterances.], batch size: 411, lr: 2.13e-04
+2022-09-18 21:55:59,590 INFO [train.py:885] (1/2) Epoch 22, batch 8350, loss[loss=0.1725, simple_loss=0.2457, pruned_loss=0.04963, over 13451.00 frames. utt_duration=1314 frames, utt_pad_proportion=0.08073, over 41.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3531, pruned_loss=0.105, over 2778721.04 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07211, over 47416.77 utterances.], batch size: 41, lr: 2.13e-04
+2022-09-18 21:56:29,510 INFO [train.py:885] (1/2) Epoch 22, batch 8400, loss[loss=0.1824, simple_loss=0.2511, pruned_loss=0.05688, over 14096.00 frames. utt_duration=715 frames, utt_pad_proportion=0.05425, over 79.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3504, pruned_loss=0.1035, over 2781138.93 frames. utt_duration=239.3 frames, utt_pad_proportion=0.06997, over 46767.56 utterances.], batch size: 79, lr: 2.13e-04
+2022-09-18 21:56:59,181 INFO [train.py:885] (1/2) Epoch 22, batch 8450, loss[loss=0.18, simple_loss=0.2583, pruned_loss=0.05087, over 14059.00 frames. utt_duration=713.1 frames, utt_pad_proportion=0.05676, over 79.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3518, pruned_loss=0.1045, over 2778193.06 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07252, over 47397.68 utterances.], batch size: 79, lr: 2.13e-04
+2022-09-18 21:57:28,571 INFO [train.py:885] (1/2) Epoch 22, batch 8500, loss[loss=0.3681, simple_loss=0.4722, pruned_loss=0.132, over 13184.00 frames. utt_duration=82.35 frames, utt_pad_proportion=0.1049, over 653.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3515, pruned_loss=0.1039, over 2782100.69 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07124, over 46879.17 utterances.], batch size: 653, lr: 2.13e-04
+2022-09-18 21:57:58,237 INFO [train.py:885] (1/2) Epoch 22, batch 8550, loss[loss=0.5035, simple_loss=0.5861, pruned_loss=0.2105, over 12489.00 frames. utt_duration=63.27 frames, utt_pad_proportion=0.1451, over 810.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3541, pruned_loss=0.105, over 2778097.81 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07354, over 47748.65 utterances.], batch size: 810, lr: 2.13e-04
+2022-09-18 21:58:28,174 INFO [train.py:885] (1/2) Epoch 22, batch 8600, loss[loss=0.1444, simple_loss=0.2214, pruned_loss=0.03369, over 13402.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08594, over 41.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3562, pruned_loss=0.107, over 2781371.84 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07315, over 47545.23 utterances.], batch size: 41, lr: 2.13e-04
+2022-09-18 21:58:56,880 INFO [train.py:885] (1/2) Epoch 22, batch 8650, loss[loss=0.2508, simple_loss=0.3243, pruned_loss=0.08863, over 14243.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04567, over 141.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3522, pruned_loss=0.1047, over 2784385.14 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07086, over 46530.49 utterances.], batch size: 141, lr: 2.13e-04
+2022-09-18 21:59:26,892 INFO [train.py:885] (1/2) Epoch 22, batch 8700, loss[loss=0.4647, simple_loss=0.5671, pruned_loss=0.1812, over 12427.00 frames. utt_duration=62.95 frames, utt_pad_proportion=0.1494, over 810.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3531, pruned_loss=0.1047, over 2784611.86 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07119, over 47147.13 utterances.], batch size: 810, lr: 2.13e-04
+2022-09-18 21:59:56,045 INFO [train.py:885] (1/2) Epoch 22, batch 8750, loss[loss=0.2705, simple_loss=0.3194, pruned_loss=0.1108, over 13990.00 frames. utt_duration=709.7 frames, utt_pad_proportion=0.0613, over 79.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.35, pruned_loss=0.1037, over 2783576.49 frames. utt_duration=247.3 frames, utt_pad_proportion=0.06966, over 45300.46 utterances.], batch size: 79, lr: 2.12e-04
+2022-09-18 22:00:26,252 INFO [train.py:885] (1/2) Epoch 22, batch 8800, loss[loss=0.3754, simple_loss=0.476, pruned_loss=0.1374, over 13138.00 frames. utt_duration=81.97 frames, utt_pad_proportion=0.109, over 653.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3499, pruned_loss=0.1033, over 2776768.15 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07324, over 45911.49 utterances.], batch size: 653, lr: 2.12e-04
+2022-09-18 22:00:55,120 INFO [train.py:885] (1/2) Epoch 22, batch 8850, loss[loss=0.3357, simple_loss=0.3948, pruned_loss=0.1383, over 14249.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04203, over 306.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3524, pruned_loss=0.104, over 2778853.61 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07253, over 47370.30 utterances.], batch size: 306, lr: 2.12e-04
+2022-09-18 22:01:25,152 INFO [train.py:885] (1/2) Epoch 22, batch 8900, loss[loss=0.1782, simple_loss=0.2479, pruned_loss=0.05426, over 13779.00 frames. utt_duration=920.1 frames, utt_pad_proportion=0.06678, over 60.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3519, pruned_loss=0.1045, over 2777299.76 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07416, over 46814.16 utterances.], batch size: 60, lr: 2.12e-04
+2022-09-18 22:01:54,165 INFO [train.py:885] (1/2) Epoch 22, batch 8950, loss[loss=0.263, simple_loss=0.3296, pruned_loss=0.09814, over 14322.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.0368, over 130.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.346, pruned_loss=0.1016, over 2781300.81 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07118, over 44206.95 utterances.], batch size: 130, lr: 2.12e-04
+2022-09-18 22:02:23,655 INFO [train.py:885] (1/2) Epoch 22, batch 9000, loss[loss=0.2736, simple_loss=0.351, pruned_loss=0.09811, over 14276.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04029, over 180.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3492, pruned_loss=0.1029, over 2780452.76 frames. utt_duration=244.1 frames, utt_pad_proportion=0.0726, over 45847.68 utterances.], batch size: 180, lr: 2.12e-04
+2022-09-18 22:02:23,656 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 22:02:28,372 INFO [train.py:914] (1/2) Epoch 22, validation: loss=0.1902, simple_loss=0.2716, pruned_loss=0.05437, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 22:02:57,751 INFO [train.py:885] (1/2) Epoch 22, batch 9050, loss[loss=0.2905, simple_loss=0.368, pruned_loss=0.1065, over 14351.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03647, over 210.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3493, pruned_loss=0.103, over 2778147.60 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07235, over 45807.15 utterances.], batch size: 210, lr: 2.12e-04
+2022-09-18 22:03:27,362 INFO [train.py:885] (1/2) Epoch 22, batch 9100, loss[loss=0.3425, simple_loss=0.4038, pruned_loss=0.1407, over 14250.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04214, over 335.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3477, pruned_loss=0.1025, over 2776113.09 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07161, over 44719.30 utterances.], batch size: 335, lr: 2.12e-04
+2022-09-18 22:03:57,344 INFO [train.py:885] (1/2) Epoch 22, batch 9150, loss[loss=0.2287, simple_loss=0.3249, pruned_loss=0.06621, over 14273.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.04338, over 154.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3435, pruned_loss=0.09962, over 2775937.31 frames. utt_duration=260.2 frames, utt_pad_proportion=0.07002, over 42912.40 utterances.], batch size: 154, lr: 2.12e-04
+2022-09-18 22:04:27,289 INFO [train.py:885] (1/2) Epoch 22, batch 9200, loss[loss=0.3143, simple_loss=0.4064, pruned_loss=0.1111, over 13712.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07059, over 478.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3413, pruned_loss=0.09851, over 2778942.00 frames. utt_duration=263.4 frames, utt_pad_proportion=0.06836, over 42433.20 utterances.], batch size: 478, lr: 2.12e-04
+2022-09-18 22:05:02,753 INFO [train.py:885] (1/2) Epoch 22, batch 9250, loss[loss=0.2978, simple_loss=0.3758, pruned_loss=0.1099, over 14343.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03763, over 244.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3458, pruned_loss=0.1017, over 2778809.36 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06956, over 43404.37 utterances.], batch size: 244, lr: 2.12e-04
+2022-09-18 22:05:32,117 INFO [train.py:885] (1/2) Epoch 22, batch 9300, loss[loss=0.1816, simple_loss=0.2556, pruned_loss=0.05378, over 13745.00 frames. utt_duration=798.4 frames, utt_pad_proportion=0.07057, over 69.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3444, pruned_loss=0.1011, over 2781403.01 frames. utt_duration=260 frames, utt_pad_proportion=0.06979, over 43032.30 utterances.], batch size: 69, lr: 2.12e-04
+2022-09-18 22:06:01,070 INFO [train.py:885] (1/2) Epoch 22, batch 9350, loss[loss=0.325, simple_loss=0.3901, pruned_loss=0.13, over 14322.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0386, over 283.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3463, pruned_loss=0.1023, over 2779773.42 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06932, over 43893.48 utterances.], batch size: 283, lr: 2.12e-04
+2022-09-18 22:06:31,075 INFO [train.py:885] (1/2) Epoch 22, batch 9400, loss[loss=0.2818, simple_loss=0.3664, pruned_loss=0.09856, over 14254.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04134, over 225.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3453, pruned_loss=0.1023, over 2782719.00 frames. utt_duration=258.5 frames, utt_pad_proportion=0.0666, over 43301.81 utterances.], batch size: 225, lr: 2.12e-04
+2022-09-18 22:07:00,953 INFO [train.py:885] (1/2) Epoch 22, batch 9450, loss[loss=0.3635, simple_loss=0.4077, pruned_loss=0.1597, over 14228.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04386, over 335.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.349, pruned_loss=0.1034, over 2778940.11 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07147, over 45941.64 utterances.], batch size: 335, lr: 2.12e-04
+2022-09-18 22:07:30,357 INFO [train.py:885] (1/2) Epoch 22, batch 9500, loss[loss=0.3339, simple_loss=0.4252, pruned_loss=0.1213, over 13681.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07753, over 477.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3474, pruned_loss=0.1031, over 2778388.33 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07007, over 44826.69 utterances.], batch size: 477, lr: 2.12e-04
+2022-09-18 22:07:59,869 INFO [train.py:885] (1/2) Epoch 22, batch 9550, loss[loss=0.1864, simple_loss=0.2695, pruned_loss=0.05162, over 13568.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08443, over 50.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3484, pruned_loss=0.1042, over 2776376.05 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06957, over 45162.71 utterances.], batch size: 50, lr: 2.12e-04
+2022-09-18 22:08:30,040 INFO [train.py:885] (1/2) Epoch 22, batch 9600, loss[loss=0.3506, simple_loss=0.3975, pruned_loss=0.1519, over 14295.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04038, over 262.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3457, pruned_loss=0.1028, over 2777940.11 frames. utt_duration=255 frames, utt_pad_proportion=0.06893, over 43824.13 utterances.], batch size: 262, lr: 2.12e-04
+2022-09-18 22:08:59,934 INFO [train.py:885] (1/2) Epoch 22, batch 9650, loss[loss=0.2529, simple_loss=0.3329, pruned_loss=0.0864, over 14282.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03963, over 180.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3479, pruned_loss=0.1039, over 2784687.48 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06722, over 44126.35 utterances.], batch size: 180, lr: 2.12e-04
+2022-09-18 22:09:28,958 INFO [train.py:885] (1/2) Epoch 22, batch 9700, loss[loss=0.1535, simple_loss=0.2244, pruned_loss=0.04131, over 13760.00 frames. utt_duration=1312 frames, utt_pad_proportion=0.07822, over 42.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3476, pruned_loss=0.1037, over 2785189.53 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06711, over 44547.96 utterances.], batch size: 42, lr: 2.12e-04
+2022-09-18 22:09:58,732 INFO [train.py:885] (1/2) Epoch 22, batch 9750, loss[loss=0.237, simple_loss=0.2971, pruned_loss=0.08838, over 13909.00 frames. utt_duration=808 frames, utt_pad_proportion=0.05941, over 69.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3521, pruned_loss=0.1058, over 2787698.43 frames. utt_duration=244.3 frames, utt_pad_proportion=0.06808, over 45922.87 utterances.], batch size: 69, lr: 2.12e-04
+2022-09-18 22:10:28,249 INFO [train.py:885] (1/2) Epoch 22, batch 9800, loss[loss=0.2028, simple_loss=0.2672, pruned_loss=0.06918, over 13400.00 frames. utt_duration=1626 frames, utt_pad_proportion=0.1017, over 33.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3512, pruned_loss=0.1056, over 2783196.72 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06948, over 45755.40 utterances.], batch size: 33, lr: 2.12e-04
+2022-09-18 22:10:57,497 INFO [train.py:885] (1/2) Epoch 22, batch 9850, loss[loss=0.3281, simple_loss=0.4219, pruned_loss=0.1172, over 13660.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07948, over 477.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3463, pruned_loss=0.1025, over 2785278.45 frames. utt_duration=257.1 frames, utt_pad_proportion=0.0678, over 43580.92 utterances.], batch size: 477, lr: 2.12e-04
+2022-09-18 22:11:27,370 INFO [train.py:885] (1/2) Epoch 22, batch 9900, loss[loss=0.3503, simple_loss=0.406, pruned_loss=0.1473, over 14329.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03729, over 210.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3511, pruned_loss=0.1052, over 2786076.86 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06836, over 45106.84 utterances.], batch size: 210, lr: 2.12e-04
+2022-09-18 22:11:56,798 INFO [train.py:885] (1/2) Epoch 22, batch 9950, loss[loss=0.1986, simple_loss=0.2565, pruned_loss=0.07035, over 13857.00 frames. utt_duration=925.1 frames, utt_pad_proportion=0.06739, over 60.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3532, pruned_loss=0.1063, over 2785350.15 frames. utt_duration=243.9 frames, utt_pad_proportion=0.06969, over 45955.16 utterances.], batch size: 60, lr: 2.12e-04
+2022-09-18 22:12:26,094 INFO [train.py:885] (1/2) Epoch 22, batch 10000, loss[loss=0.2073, simple_loss=0.279, pruned_loss=0.0678, over 14075.00 frames. utt_duration=576 frames, utt_pad_proportion=0.05572, over 98.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3506, pruned_loss=0.1047, over 2784131.13 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06916, over 45095.97 utterances.], batch size: 98, lr: 2.12e-04
+2022-09-18 22:12:55,759 INFO [train.py:885] (1/2) Epoch 22, batch 10050, loss[loss=0.2462, simple_loss=0.3172, pruned_loss=0.08754, over 14078.00 frames. utt_duration=576.1 frames, utt_pad_proportion=0.05405, over 98.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3525, pruned_loss=0.105, over 2786989.26 frames. utt_duration=244.1 frames, utt_pad_proportion=0.06906, over 45940.62 utterances.], batch size: 98, lr: 2.12e-04
+2022-09-18 22:13:25,633 INFO [train.py:885] (1/2) Epoch 22, batch 10100, loss[loss=0.1588, simple_loss=0.2283, pruned_loss=0.04463, over 13353.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08987, over 41.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3528, pruned_loss=0.1043, over 2786209.67 frames. utt_duration=242.3 frames, utt_pad_proportion=0.06955, over 46279.01 utterances.], batch size: 41, lr: 2.12e-04
+2022-09-18 22:13:54,919 INFO [train.py:885] (1/2) Epoch 22, batch 10150, loss[loss=0.2596, simple_loss=0.342, pruned_loss=0.08866, over 14307.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03894, over 195.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3512, pruned_loss=0.104, over 2789298.92 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06732, over 44854.03 utterances.], batch size: 195, lr: 2.12e-04
+2022-09-18 22:14:24,555 INFO [train.py:885] (1/2) Epoch 22, batch 10200, loss[loss=0.1464, simple_loss=0.1971, pruned_loss=0.04784, over 13052.00 frames. utt_duration=1584 frames, utt_pad_proportion=0.1173, over 33.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3537, pruned_loss=0.105, over 2784590.15 frames. utt_duration=239.1 frames, utt_pad_proportion=0.0693, over 46881.62 utterances.], batch size: 33, lr: 2.12e-04
+2022-09-18 22:14:58,951 INFO [train.py:885] (1/2) Epoch 22, batch 10250, loss[loss=0.2373, simple_loss=0.3079, pruned_loss=0.08332, over 14190.00 frames. utt_duration=639.2 frames, utt_pad_proportion=0.04734, over 89.00 utterances.], tot_loss[loss=0.2826, simple_loss=0.3547, pruned_loss=0.1052, over 2786570.10 frames. utt_duration=237.1 frames, utt_pad_proportion=0.06901, over 47311.18 utterances.], batch size: 89, lr: 2.12e-04
+2022-09-18 22:15:30,883 INFO [train.py:885] (1/2) Epoch 22, batch 10300, loss[loss=0.1887, simple_loss=0.2613, pruned_loss=0.05806, over 14028.00 frames. utt_duration=711.8 frames, utt_pad_proportion=0.05845, over 79.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3537, pruned_loss=0.1047, over 2786129.17 frames. utt_duration=240 frames, utt_pad_proportion=0.06908, over 46730.51 utterances.], batch size: 79, lr: 2.12e-04
+2022-09-18 22:16:00,853 INFO [train.py:885] (1/2) Epoch 22, batch 10350, loss[loss=0.2187, simple_loss=0.2931, pruned_loss=0.0722, over 14296.00 frames. utt_duration=643.9 frames, utt_pad_proportion=0.04041, over 89.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3501, pruned_loss=0.103, over 2782406.37 frames. utt_duration=244.4 frames, utt_pad_proportion=0.0707, over 45815.58 utterances.], batch size: 89, lr: 2.12e-04
+2022-09-18 22:16:29,705 INFO [train.py:885] (1/2) Epoch 22, batch 10400, loss[loss=0.2806, simple_loss=0.38, pruned_loss=0.09056, over 13776.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07106, over 411.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3475, pruned_loss=0.102, over 2785307.82 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06883, over 44745.06 utterances.], batch size: 411, lr: 2.12e-04
+2022-09-18 22:16:59,625 INFO [train.py:885] (1/2) Epoch 22, batch 10450, loss[loss=0.1845, simple_loss=0.2566, pruned_loss=0.05613, over 13532.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08139, over 50.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.347, pruned_loss=0.1018, over 2779316.00 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07164, over 45571.81 utterances.], batch size: 50, lr: 2.12e-04
+2022-09-18 22:17:29,303 INFO [train.py:885] (1/2) Epoch 22, batch 10500, loss[loss=0.3648, simple_loss=0.4478, pruned_loss=0.1408, over 13616.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08193, over 477.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3522, pruned_loss=0.104, over 2778935.51 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07317, over 47647.37 utterances.], batch size: 477, lr: 2.12e-04
+2022-09-18 22:17:58,519 INFO [train.py:885] (1/2) Epoch 22, batch 10550, loss[loss=0.2153, simple_loss=0.3023, pruned_loss=0.06414, over 14217.00 frames. utt_duration=523.2 frames, utt_pad_proportion=0.04175, over 109.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3489, pruned_loss=0.1023, over 2780895.32 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07257, over 46381.01 utterances.], batch size: 109, lr: 2.12e-04
+2022-09-18 22:18:27,976 INFO [train.py:885] (1/2) Epoch 22, batch 10600, loss[loss=0.4152, simple_loss=0.446, pruned_loss=0.1922, over 14304.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04, over 262.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3523, pruned_loss=0.1037, over 2783697.20 frames. utt_duration=237 frames, utt_pad_proportion=0.0737, over 47269.90 utterances.], batch size: 262, lr: 2.12e-04
+2022-09-18 22:18:57,796 INFO [train.py:885] (1/2) Epoch 22, batch 10650, loss[loss=0.37, simple_loss=0.4193, pruned_loss=0.1604, over 14318.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03837, over 283.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3514, pruned_loss=0.1043, over 2782108.99 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07201, over 45562.00 utterances.], batch size: 283, lr: 2.12e-04
+2022-09-18 22:19:27,113 INFO [train.py:885] (1/2) Epoch 22, batch 10700, loss[loss=0.2846, simple_loss=0.3473, pruned_loss=0.111, over 14276.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.04253, over 154.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3522, pruned_loss=0.1044, over 2784707.91 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07042, over 45997.87 utterances.], batch size: 154, lr: 2.12e-04
+2022-09-18 22:19:56,894 INFO [train.py:885] (1/2) Epoch 22, batch 10750, loss[loss=0.2206, simple_loss=0.2954, pruned_loss=0.07292, over 14019.00 frames. utt_duration=711.4 frames, utt_pad_proportion=0.05897, over 79.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3515, pruned_loss=0.1045, over 2784376.78 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07183, over 45898.08 utterances.], batch size: 79, lr: 2.12e-04
+2022-09-18 22:20:26,442 INFO [train.py:885] (1/2) Epoch 22, batch 10800, loss[loss=0.2519, simple_loss=0.3318, pruned_loss=0.08601, over 14368.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03803, over 167.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3535, pruned_loss=0.1053, over 2785867.37 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07093, over 46348.11 utterances.], batch size: 167, lr: 2.12e-04
+2022-09-18 22:20:56,578 INFO [train.py:885] (1/2) Epoch 22, batch 10850, loss[loss=0.1876, simple_loss=0.2704, pruned_loss=0.0524, over 14074.00 frames. utt_duration=714 frames, utt_pad_proportion=0.05556, over 79.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.351, pruned_loss=0.1037, over 2779396.98 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07295, over 45999.31 utterances.], batch size: 79, lr: 2.12e-04
+2022-09-18 22:21:26,376 INFO [train.py:885] (1/2) Epoch 22, batch 10900, loss[loss=0.2733, simple_loss=0.364, pruned_loss=0.09128, over 14005.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05536, over 365.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3507, pruned_loss=0.1036, over 2779522.26 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07169, over 45580.71 utterances.], batch size: 365, lr: 2.12e-04
+2022-09-18 22:21:55,701 INFO [train.py:885] (1/2) Epoch 22, batch 10950, loss[loss=0.2327, simple_loss=0.308, pruned_loss=0.07873, over 14243.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04594, over 141.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3506, pruned_loss=0.1035, over 2778089.27 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07223, over 46150.13 utterances.], batch size: 141, lr: 2.12e-04
+2022-09-18 22:22:26,251 INFO [train.py:885] (1/2) Epoch 22, batch 11000, loss[loss=0.1351, simple_loss=0.1871, pruned_loss=0.04153, over 13205.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1139, over 33.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3497, pruned_loss=0.1028, over 2775309.77 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07409, over 46202.46 utterances.], batch size: 33, lr: 2.12e-04
+2022-09-18 22:22:56,516 INFO [train.py:885] (1/2) Epoch 22, batch 11050, loss[loss=0.1865, simple_loss=0.2692, pruned_loss=0.05195, over 13926.00 frames. utt_duration=706.5 frames, utt_pad_proportion=0.06426, over 79.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3495, pruned_loss=0.1027, over 2770811.50 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07529, over 46322.42 utterances.], batch size: 79, lr: 2.12e-04
+2022-09-18 22:23:26,725 INFO [train.py:885] (1/2) Epoch 22, batch 11100, loss[loss=0.2853, simple_loss=0.3568, pruned_loss=0.1069, over 14334.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.03707, over 226.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3475, pruned_loss=0.1022, over 2772843.15 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07193, over 44592.01 utterances.], batch size: 226, lr: 2.12e-04
+2022-09-18 22:23:56,640 INFO [train.py:885] (1/2) Epoch 22, batch 11150, loss[loss=0.2024, simple_loss=0.2606, pruned_loss=0.07211, over 13833.00 frames. utt_duration=1108 frames, utt_pad_proportion=0.06325, over 50.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3474, pruned_loss=0.1023, over 2770750.62 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07448, over 44973.44 utterances.], batch size: 50, lr: 2.12e-04
+2022-09-18 22:24:26,854 INFO [train.py:885] (1/2) Epoch 22, batch 11200, loss[loss=0.323, simple_loss=0.4177, pruned_loss=0.1142, over 13708.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07544, over 411.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3486, pruned_loss=0.1031, over 2777803.90 frames. utt_duration=249 frames, utt_pad_proportion=0.0718, over 44890.35 utterances.], batch size: 411, lr: 2.12e-04
+2022-09-18 22:24:56,155 INFO [train.py:885] (1/2) Epoch 22, batch 11250, loss[loss=0.2181, simple_loss=0.2946, pruned_loss=0.07082, over 14299.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.04006, over 120.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3469, pruned_loss=0.1017, over 2785406.03 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06925, over 44143.08 utterances.], batch size: 120, lr: 2.12e-04
+2022-09-18 22:25:26,165 INFO [train.py:885] (1/2) Epoch 22, batch 11300, loss[loss=0.3715, simple_loss=0.4712, pruned_loss=0.1359, over 13146.00 frames. utt_duration=82.01 frames, utt_pad_proportion=0.1086, over 653.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.345, pruned_loss=0.1009, over 2783258.16 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06886, over 43982.17 utterances.], batch size: 653, lr: 2.12e-04
+2022-09-18 22:25:55,306 INFO [train.py:885] (1/2) Epoch 22, batch 11350, loss[loss=0.2982, simple_loss=0.3929, pruned_loss=0.1017, over 13657.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07882, over 477.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.345, pruned_loss=0.1007, over 2779469.84 frames. utt_duration=251.9 frames, utt_pad_proportion=0.0682, over 44396.98 utterances.], batch size: 477, lr: 2.11e-04
+2022-09-18 22:26:26,114 INFO [train.py:885] (1/2) Epoch 22, batch 11400, loss[loss=0.2143, simple_loss=0.2736, pruned_loss=0.0775, over 14042.00 frames. utt_duration=712.3 frames, utt_pad_proportion=0.05777, over 79.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3424, pruned_loss=0.09957, over 2773806.03 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06977, over 43236.76 utterances.], batch size: 79, lr: 2.11e-04
+2022-09-18 22:26:55,472 INFO [train.py:885] (1/2) Epoch 22, batch 11450, loss[loss=0.2587, simple_loss=0.3352, pruned_loss=0.09106, over 14360.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03735, over 244.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3451, pruned_loss=0.1002, over 2774393.75 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07095, over 45042.10 utterances.], batch size: 244, lr: 2.11e-04
+2022-09-18 22:27:26,401 INFO [train.py:885] (1/2) Epoch 22, batch 11500, loss[loss=0.313, simple_loss=0.3778, pruned_loss=0.1241, over 14272.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04039, over 180.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3471, pruned_loss=0.1014, over 2782554.38 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06792, over 45087.18 utterances.], batch size: 180, lr: 2.11e-04
+2022-09-18 22:27:55,725 INFO [train.py:885] (1/2) Epoch 22, batch 11550, loss[loss=0.1716, simple_loss=0.2376, pruned_loss=0.05283, over 12139.00 frames. utt_duration=2025 frames, utt_pad_proportion=0.1733, over 24.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3466, pruned_loss=0.1013, over 2781247.04 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06987, over 45084.66 utterances.], batch size: 24, lr: 2.11e-04
+2022-09-18 22:28:25,456 INFO [train.py:885] (1/2) Epoch 22, batch 11600, loss[loss=0.2577, simple_loss=0.3475, pruned_loss=0.0839, over 14350.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03602, over 226.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3468, pruned_loss=0.1013, over 2783404.80 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06912, over 44876.23 utterances.], batch size: 226, lr: 2.11e-04
+2022-09-18 22:28:55,292 INFO [train.py:885] (1/2) Epoch 22, batch 11650, loss[loss=0.2496, simple_loss=0.316, pruned_loss=0.09158, over 14204.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.04275, over 109.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3495, pruned_loss=0.1032, over 2782257.73 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07065, over 45585.04 utterances.], batch size: 109, lr: 2.11e-04
+2022-09-18 22:29:25,734 INFO [train.py:885] (1/2) Epoch 22, batch 11700, loss[loss=0.1881, simple_loss=0.2658, pruned_loss=0.05525, over 13584.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08456, over 50.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3467, pruned_loss=0.1014, over 2777279.09 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07183, over 44814.86 utterances.], batch size: 50, lr: 2.11e-04
+2022-09-18 22:29:55,347 INFO [train.py:885] (1/2) Epoch 22, batch 11750, loss[loss=0.2269, simple_loss=0.2999, pruned_loss=0.07692, over 14317.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03876, over 120.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3476, pruned_loss=0.1028, over 2776830.68 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07316, over 44674.07 utterances.], batch size: 120, lr: 2.11e-04
+2022-09-18 22:30:25,515 INFO [train.py:885] (1/2) Epoch 22, batch 11800, loss[loss=0.3146, simple_loss=0.3818, pruned_loss=0.1237, over 14328.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0383, over 283.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3451, pruned_loss=0.1009, over 2778372.38 frames. utt_duration=253 frames, utt_pad_proportion=0.0705, over 44175.70 utterances.], batch size: 283, lr: 2.11e-04
+2022-09-18 22:30:54,290 INFO [train.py:885] (1/2) Epoch 22, batch 11850, loss[loss=0.3058, simple_loss=0.366, pruned_loss=0.1228, over 14375.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03589, over 244.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3425, pruned_loss=0.09971, over 2781104.26 frames. utt_duration=262.9 frames, utt_pad_proportion=0.06876, over 42557.69 utterances.], batch size: 244, lr: 2.11e-04
+2022-09-18 22:31:24,509 INFO [train.py:885] (1/2) Epoch 22, batch 11900, loss[loss=0.1638, simple_loss=0.2307, pruned_loss=0.04848, over 13794.00 frames. utt_duration=1315 frames, utt_pad_proportion=0.07585, over 42.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.344, pruned_loss=0.1002, over 2781566.31 frames. utt_duration=260.3 frames, utt_pad_proportion=0.07025, over 42989.84 utterances.], batch size: 42, lr: 2.11e-04
+2022-09-18 22:31:54,206 INFO [train.py:885] (1/2) Epoch 22, batch 11950, loss[loss=0.1849, simple_loss=0.2619, pruned_loss=0.05393, over 14097.00 frames. utt_duration=715.2 frames, utt_pad_proportion=0.05403, over 79.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3463, pruned_loss=0.1015, over 2783248.74 frames. utt_duration=255 frames, utt_pad_proportion=0.07141, over 43913.81 utterances.], batch size: 79, lr: 2.11e-04
+2022-09-18 22:32:24,810 INFO [train.py:885] (1/2) Epoch 22, batch 12000, loss[loss=0.2385, simple_loss=0.31, pruned_loss=0.08352, over 14322.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.0368, over 130.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3481, pruned_loss=0.102, over 2777376.63 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07354, over 45122.83 utterances.], batch size: 130, lr: 2.11e-04
+2022-09-18 22:32:24,811 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 22:32:29,044 INFO [train.py:914] (1/2) Epoch 22, validation: loss=0.1992, simple_loss=0.2792, pruned_loss=0.05959, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 22:32:59,460 INFO [train.py:885] (1/2) Epoch 22, batch 12050, loss[loss=0.2225, simple_loss=0.2981, pruned_loss=0.0734, over 14249.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.04577, over 141.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3462, pruned_loss=0.1013, over 2772312.93 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07437, over 44491.67 utterances.], batch size: 141, lr: 2.11e-04
+2022-09-18 22:33:29,202 INFO [train.py:885] (1/2) Epoch 22, batch 12100, loss[loss=0.3131, simple_loss=0.3988, pruned_loss=0.1136, over 14014.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05491, over 365.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3466, pruned_loss=0.1015, over 2772730.93 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07487, over 45213.94 utterances.], batch size: 365, lr: 2.11e-04
+2022-09-18 22:33:59,126 INFO [train.py:885] (1/2) Epoch 22, batch 12150, loss[loss=0.2185, simple_loss=0.2895, pruned_loss=0.07378, over 13938.00 frames. utt_duration=707.1 frames, utt_pad_proportion=0.06344, over 79.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3481, pruned_loss=0.1028, over 2777153.00 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07118, over 44996.93 utterances.], batch size: 79, lr: 2.11e-04
+2022-09-18 22:34:28,726 INFO [train.py:885] (1/2) Epoch 22, batch 12200, loss[loss=0.3223, simple_loss=0.3728, pruned_loss=0.1359, over 14298.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.03836, over 130.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3487, pruned_loss=0.1035, over 2781215.29 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06807, over 44499.43 utterances.], batch size: 130, lr: 2.11e-04
+2022-09-18 22:34:58,667 INFO [train.py:885] (1/2) Epoch 22, batch 12250, loss[loss=0.1914, simple_loss=0.2446, pruned_loss=0.06913, over 13111.00 frames. utt_duration=1590 frames, utt_pad_proportion=0.1203, over 33.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3468, pruned_loss=0.1028, over 2781990.39 frames. utt_duration=257 frames, utt_pad_proportion=0.0688, over 43545.11 utterances.], batch size: 33, lr: 2.11e-04
+2022-09-18 22:35:28,821 INFO [train.py:885] (1/2) Epoch 22, batch 12300, loss[loss=0.2949, simple_loss=0.3688, pruned_loss=0.1105, over 14348.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03637, over 283.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3478, pruned_loss=0.1031, over 2778153.35 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07333, over 44696.20 utterances.], batch size: 283, lr: 2.11e-04
+2022-09-18 22:35:59,088 INFO [train.py:885] (1/2) Epoch 22, batch 12350, loss[loss=0.3959, simple_loss=0.4416, pruned_loss=0.1751, over 14251.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04214, over 335.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3505, pruned_loss=0.105, over 2782361.54 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07216, over 44803.50 utterances.], batch size: 335, lr: 2.11e-04
+2022-09-18 22:36:29,303 INFO [train.py:885] (1/2) Epoch 22, batch 12400, loss[loss=0.212, simple_loss=0.2866, pruned_loss=0.06871, over 14064.00 frames. utt_duration=713.5 frames, utt_pad_proportion=0.05626, over 79.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3489, pruned_loss=0.1038, over 2782349.73 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07147, over 44501.04 utterances.], batch size: 79, lr: 2.11e-04
+2022-09-18 22:36:58,382 INFO [train.py:885] (1/2) Epoch 22, batch 12450, loss[loss=0.2655, simple_loss=0.3381, pruned_loss=0.09644, over 14322.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.0408, over 167.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3478, pruned_loss=0.1024, over 2780781.93 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07192, over 44995.39 utterances.], batch size: 167, lr: 2.11e-04
+2022-09-18 22:37:28,548 INFO [train.py:885] (1/2) Epoch 22, batch 12500, loss[loss=0.1553, simple_loss=0.2294, pruned_loss=0.04057, over 13558.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08654, over 50.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3461, pruned_loss=0.1014, over 2779806.07 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07017, over 44221.94 utterances.], batch size: 50, lr: 2.11e-04
+2022-09-18 22:37:58,868 INFO [train.py:885] (1/2) Epoch 22, batch 12550, loss[loss=0.198, simple_loss=0.2688, pruned_loss=0.06363, over 13773.00 frames. utt_duration=799.9 frames, utt_pad_proportion=0.06877, over 69.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3469, pruned_loss=0.1022, over 2779394.67 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07022, over 43954.28 utterances.], batch size: 69, lr: 2.11e-04
+2022-09-18 22:38:26,818 INFO [train.py:885] (1/2) Epoch 22, batch 12600, loss[loss=0.3848, simple_loss=0.4308, pruned_loss=0.1694, over 14325.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03852, over 283.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3489, pruned_loss=0.1031, over 2781767.98 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07024, over 45439.93 utterances.], batch size: 283, lr: 2.11e-04
+2022-09-18 22:38:45,336 INFO [train.py:885] (1/2) Epoch 23, batch 0, loss[loss=0.2984, simple_loss=0.3928, pruned_loss=0.102, over 13814.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06896, over 411.00 utterances.], tot_loss[loss=0.2984, simple_loss=0.3928, pruned_loss=0.102, over 13814.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06896, over 411.00 utterances.], batch size: 411, lr: 2.06e-04
+2022-09-18 22:39:15,868 INFO [train.py:885] (1/2) Epoch 23, batch 50, loss[loss=0.3353, simple_loss=0.39, pruned_loss=0.1403, over 14223.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04356, over 335.00 utterances.], tot_loss[loss=0.2891, simple_loss=0.3594, pruned_loss=0.1094, over 628816.96 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07119, over 10826.71 utterances.], batch size: 335, lr: 2.06e-04
+2022-09-18 22:39:46,649 INFO [train.py:885] (1/2) Epoch 23, batch 100, loss[loss=0.2439, simple_loss=0.3186, pruned_loss=0.08458, over 14310.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04023, over 154.00 utterances.], tot_loss[loss=0.29, simple_loss=0.361, pruned_loss=0.1095, over 1110410.76 frames. utt_duration=236 frames, utt_pad_proportion=0.06971, over 18942.77 utterances.], batch size: 154, lr: 2.06e-04
+2022-09-18 22:40:15,969 INFO [train.py:885] (1/2) Epoch 23, batch 150, loss[loss=0.3155, simple_loss=0.4178, pruned_loss=0.1066, over 13628.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08138, over 477.00 utterances.], tot_loss[loss=0.2888, simple_loss=0.3604, pruned_loss=0.1086, over 1479652.39 frames. utt_duration=229.7 frames, utt_pad_proportion=0.07253, over 25937.03 utterances.], batch size: 477, lr: 2.06e-04
+2022-09-18 22:40:45,375 INFO [train.py:885] (1/2) Epoch 23, batch 200, loss[loss=0.2755, simple_loss=0.3511, pruned_loss=0.09993, over 14358.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03594, over 210.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3519, pruned_loss=0.1045, over 1770318.03 frames. utt_duration=242.6 frames, utt_pad_proportion=0.06986, over 29369.54 utterances.], batch size: 210, lr: 2.06e-04
+2022-09-18 22:41:14,906 INFO [train.py:885] (1/2) Epoch 23, batch 250, loss[loss=0.2736, simple_loss=0.3576, pruned_loss=0.09487, over 14323.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03804, over 195.00 utterances.], tot_loss[loss=0.2879, simple_loss=0.3593, pruned_loss=0.1083, over 1994051.85 frames. utt_duration=229.2 frames, utt_pad_proportion=0.07308, over 35031.90 utterances.], batch size: 195, lr: 2.06e-04
+2022-09-18 22:41:45,506 INFO [train.py:885] (1/2) Epoch 23, batch 300, loss[loss=0.192, simple_loss=0.258, pruned_loss=0.06301, over 13539.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.07762, over 50.00 utterances.], tot_loss[loss=0.2863, simple_loss=0.3582, pruned_loss=0.1072, over 2171841.91 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07172, over 37868.71 utterances.], batch size: 50, lr: 2.06e-04
+2022-09-18 22:42:15,648 INFO [train.py:885] (1/2) Epoch 23, batch 350, loss[loss=0.6334, simple_loss=0.6752, pruned_loss=0.2958, over 12452.00 frames. utt_duration=62.95 frames, utt_pad_proportion=0.1493, over 811.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3547, pruned_loss=0.1054, over 2305880.63 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07111, over 38869.45 utterances.], batch size: 811, lr: 2.06e-04
+2022-09-18 22:42:44,768 INFO [train.py:885] (1/2) Epoch 23, batch 400, loss[loss=0.1834, simple_loss=0.2524, pruned_loss=0.05718, over 13784.00 frames. utt_duration=920.5 frames, utt_pad_proportion=0.07491, over 60.00 utterances.], tot_loss[loss=0.279, simple_loss=0.351, pruned_loss=0.1035, over 2410380.24 frames. utt_duration=246 frames, utt_pad_proportion=0.06994, over 39426.76 utterances.], batch size: 60, lr: 2.06e-04
+2022-09-18 22:43:14,429 INFO [train.py:885] (1/2) Epoch 23, batch 450, loss[loss=0.1533, simple_loss=0.2239, pruned_loss=0.04137, over 13032.00 frames. utt_duration=2006 frames, utt_pad_proportion=0.1147, over 26.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.352, pruned_loss=0.1037, over 2492520.22 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07071, over 41084.63 utterances.], batch size: 26, lr: 2.06e-04
+2022-09-18 22:43:45,116 INFO [train.py:885] (1/2) Epoch 23, batch 500, loss[loss=0.3413, simple_loss=0.4291, pruned_loss=0.1267, over 13630.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08081, over 477.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.352, pruned_loss=0.1035, over 2556041.74 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07009, over 42766.20 utterances.], batch size: 477, lr: 2.06e-04
+2022-09-18 22:44:15,006 INFO [train.py:885] (1/2) Epoch 23, batch 550, loss[loss=0.2957, simple_loss=0.3708, pruned_loss=0.1103, over 14361.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03314, over 244.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3548, pruned_loss=0.1053, over 2606172.31 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07018, over 44427.35 utterances.], batch size: 244, lr: 2.06e-04
+2022-09-18 22:44:44,597 INFO [train.py:885] (1/2) Epoch 23, batch 600, loss[loss=0.1531, simple_loss=0.2074, pruned_loss=0.04937, over 13283.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.09453, over 41.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3505, pruned_loss=0.1039, over 2643808.08 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06976, over 43899.89 utterances.], batch size: 41, lr: 2.06e-04
+2022-09-18 22:45:14,016 INFO [train.py:885] (1/2) Epoch 23, batch 650, loss[loss=0.3011, simple_loss=0.4131, pruned_loss=0.09449, over 13637.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.07702, over 560.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.351, pruned_loss=0.1046, over 2676554.67 frames. utt_duration=241.1 frames, utt_pad_proportion=0.06909, over 44678.41 utterances.], batch size: 560, lr: 2.06e-04
+2022-09-18 22:45:43,745 INFO [train.py:885] (1/2) Epoch 23, batch 700, loss[loss=0.1883, simple_loss=0.2577, pruned_loss=0.05945, over 13326.00 frames. utt_duration=1617 frames, utt_pad_proportion=0.1029, over 33.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3496, pruned_loss=0.1023, over 2693458.66 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07268, over 46110.70 utterances.], batch size: 33, lr: 2.06e-04
+2022-09-18 22:46:13,429 INFO [train.py:885] (1/2) Epoch 23, batch 750, loss[loss=0.255, simple_loss=0.3296, pruned_loss=0.09022, over 14276.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.04027, over 154.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3538, pruned_loss=0.105, over 2712677.10 frames. utt_duration=229.5 frames, utt_pad_proportion=0.07281, over 47591.04 utterances.], batch size: 154, lr: 2.06e-04
+2022-09-18 22:46:42,816 INFO [train.py:885] (1/2) Epoch 23, batch 800, loss[loss=0.1769, simple_loss=0.2405, pruned_loss=0.05662, over 12395.00 frames. utt_duration=2067 frames, utt_pad_proportion=0.16, over 24.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3527, pruned_loss=0.1053, over 2728973.69 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07163, over 46209.89 utterances.], batch size: 24, lr: 2.06e-04
+2022-09-18 22:47:12,470 INFO [train.py:885] (1/2) Epoch 23, batch 850, loss[loss=0.1895, simple_loss=0.26, pruned_loss=0.05952, over 14025.00 frames. utt_duration=711.6 frames, utt_pad_proportion=0.05751, over 79.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3491, pruned_loss=0.1033, over 2742501.54 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07076, over 45087.09 utterances.], batch size: 79, lr: 2.06e-04
+2022-09-18 22:47:42,654 INFO [train.py:885] (1/2) Epoch 23, batch 900, loss[loss=0.3142, simple_loss=0.4068, pruned_loss=0.1108, over 13769.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07123, over 411.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.348, pruned_loss=0.1024, over 2748822.85 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07226, over 44857.13 utterances.], batch size: 411, lr: 2.06e-04
+2022-09-18 22:48:12,691 INFO [train.py:885] (1/2) Epoch 23, batch 950, loss[loss=0.4489, simple_loss=0.4747, pruned_loss=0.2116, over 14347.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03574, over 210.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.349, pruned_loss=0.1032, over 2757525.08 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07067, over 44616.23 utterances.], batch size: 210, lr: 2.06e-04
+2022-09-18 22:48:42,215 INFO [train.py:885] (1/2) Epoch 23, batch 1000, loss[loss=0.2889, simple_loss=0.3379, pruned_loss=0.1199, over 14138.00 frames. utt_duration=578.7 frames, utt_pad_proportion=0.04813, over 98.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3459, pruned_loss=0.1015, over 2762593.20 frames. utt_duration=255.9 frames, utt_pad_proportion=0.06982, over 43424.44 utterances.], batch size: 98, lr: 2.06e-04
+2022-09-18 22:49:11,814 INFO [train.py:885] (1/2) Epoch 23, batch 1050, loss[loss=0.38, simple_loss=0.4237, pruned_loss=0.1682, over 14280.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04145, over 262.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3493, pruned_loss=0.1039, over 2768219.64 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06888, over 44234.57 utterances.], batch size: 262, lr: 2.06e-04
+2022-09-18 22:49:41,763 INFO [train.py:885] (1/2) Epoch 23, batch 1100, loss[loss=0.1606, simple_loss=0.2204, pruned_loss=0.05042, over 13363.00 frames. utt_duration=1621 frames, utt_pad_proportion=0.1043, over 33.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3514, pruned_loss=0.1052, over 2776282.93 frames. utt_duration=249 frames, utt_pad_proportion=0.06718, over 44869.76 utterances.], batch size: 33, lr: 2.06e-04
+2022-09-18 22:50:11,061 INFO [train.py:885] (1/2) Epoch 23, batch 1150, loss[loss=0.1677, simple_loss=0.2402, pruned_loss=0.04756, over 13523.00 frames. utt_duration=1321 frames, utt_pad_proportion=0.07577, over 41.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3525, pruned_loss=0.1054, over 2777556.44 frames. utt_duration=245.6 frames, utt_pad_proportion=0.06873, over 45504.35 utterances.], batch size: 41, lr: 2.06e-04
+2022-09-18 22:50:40,743 INFO [train.py:885] (1/2) Epoch 23, batch 1200, loss[loss=0.3095, simple_loss=0.3789, pruned_loss=0.12, over 14305.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03914, over 226.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3507, pruned_loss=0.1045, over 2781123.02 frames. utt_duration=251.5 frames, utt_pad_proportion=0.0683, over 44487.26 utterances.], batch size: 226, lr: 2.06e-04
+2022-09-18 22:51:10,640 INFO [train.py:885] (1/2) Epoch 23, batch 1250, loss[loss=0.3573, simple_loss=0.4078, pruned_loss=0.1534, over 14201.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04458, over 306.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3497, pruned_loss=0.1039, over 2782959.76 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06881, over 44721.51 utterances.], batch size: 306, lr: 2.06e-04
+2022-09-18 22:51:40,379 INFO [train.py:885] (1/2) Epoch 23, batch 1300, loss[loss=0.2912, simple_loss=0.3917, pruned_loss=0.09531, over 13619.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08173, over 477.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3515, pruned_loss=0.1046, over 2784202.01 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06866, over 45272.23 utterances.], batch size: 477, lr: 2.06e-04
+2022-09-18 22:52:09,833 INFO [train.py:885] (1/2) Epoch 23, batch 1350, loss[loss=0.194, simple_loss=0.2592, pruned_loss=0.06438, over 14039.00 frames. utt_duration=712.2 frames, utt_pad_proportion=0.05793, over 79.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3482, pruned_loss=0.1027, over 2782721.18 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06895, over 44880.37 utterances.], batch size: 79, lr: 2.06e-04
+2022-09-18 22:52:39,632 INFO [train.py:885] (1/2) Epoch 23, batch 1400, loss[loss=0.2724, simple_loss=0.3497, pruned_loss=0.0975, over 14332.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03722, over 195.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3429, pruned_loss=0.09994, over 2783570.05 frames. utt_duration=262.8 frames, utt_pad_proportion=0.067, over 42604.99 utterances.], batch size: 195, lr: 2.06e-04
+2022-09-18 22:53:09,527 INFO [train.py:885] (1/2) Epoch 23, batch 1450, loss[loss=0.3464, simple_loss=0.3964, pruned_loss=0.1482, over 14340.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.03998, over 167.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3471, pruned_loss=0.1021, over 2784835.50 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06824, over 44200.43 utterances.], batch size: 167, lr: 2.06e-04
+2022-09-18 22:53:39,751 INFO [train.py:885] (1/2) Epoch 23, batch 1500, loss[loss=0.2092, simple_loss=0.2822, pruned_loss=0.06808, over 13133.00 frames. utt_duration=2022 frames, utt_pad_proportion=0.1061, over 26.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3504, pruned_loss=0.1036, over 2784427.93 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06905, over 45397.15 utterances.], batch size: 26, lr: 2.06e-04
+2022-09-18 22:54:09,622 INFO [train.py:885] (1/2) Epoch 23, batch 1550, loss[loss=0.3092, simple_loss=0.3799, pruned_loss=0.1193, over 14311.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03977, over 262.00 utterances.], tot_loss[loss=0.282, simple_loss=0.354, pruned_loss=0.1051, over 2786088.04 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07043, over 47094.29 utterances.], batch size: 262, lr: 2.06e-04
+2022-09-18 22:54:38,973 INFO [train.py:885] (1/2) Epoch 23, batch 1600, loss[loss=0.3627, simple_loss=0.4174, pruned_loss=0.1541, over 14232.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04328, over 335.00 utterances.], tot_loss[loss=0.2831, simple_loss=0.3552, pruned_loss=0.1055, over 2783167.08 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07248, over 48282.00 utterances.], batch size: 335, lr: 2.06e-04
+2022-09-18 22:55:08,599 INFO [train.py:885] (1/2) Epoch 23, batch 1650, loss[loss=0.1784, simple_loss=0.257, pruned_loss=0.04985, over 13588.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.0842, over 42.00 utterances.], tot_loss[loss=0.2845, simple_loss=0.3573, pruned_loss=0.1058, over 2783567.61 frames. utt_duration=225.4 frames, utt_pad_proportion=0.07351, over 49728.52 utterances.], batch size: 42, lr: 2.06e-04
+2022-09-18 22:55:37,740 INFO [train.py:885] (1/2) Epoch 23, batch 1700, loss[loss=0.287, simple_loss=0.3561, pruned_loss=0.109, over 14376.00 frames. utt_duration=345.8 frames, utt_pad_proportion=0.03681, over 167.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3511, pruned_loss=0.1031, over 2788193.16 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07105, over 47001.75 utterances.], batch size: 167, lr: 2.06e-04
+2022-09-18 22:56:08,287 INFO [train.py:885] (1/2) Epoch 23, batch 1750, loss[loss=0.2086, simple_loss=0.2846, pruned_loss=0.06626, over 12853.00 frames. utt_duration=1979 frames, utt_pad_proportion=0.1212, over 26.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3496, pruned_loss=0.1019, over 2786098.24 frames. utt_duration=240 frames, utt_pad_proportion=0.06983, over 46714.64 utterances.], batch size: 26, lr: 2.06e-04
+2022-09-18 22:56:37,605 INFO [train.py:885] (1/2) Epoch 23, batch 1800, loss[loss=0.307, simple_loss=0.3559, pruned_loss=0.1291, over 13055.00 frames. utt_duration=2010 frames, utt_pad_proportion=0.1101, over 26.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3546, pruned_loss=0.1047, over 2785293.13 frames. utt_duration=234 frames, utt_pad_proportion=0.07072, over 47904.12 utterances.], batch size: 26, lr: 2.06e-04
+2022-09-18 22:57:07,115 INFO [train.py:885] (1/2) Epoch 23, batch 1850, loss[loss=0.1837, simple_loss=0.2342, pruned_loss=0.06659, over 13363.00 frames. utt_duration=1621 frames, utt_pad_proportion=0.1018, over 33.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3504, pruned_loss=0.1026, over 2785450.95 frames. utt_duration=243.1 frames, utt_pad_proportion=0.06984, over 46119.67 utterances.], batch size: 33, lr: 2.06e-04
+2022-09-18 22:57:37,397 INFO [train.py:885] (1/2) Epoch 23, batch 1900, loss[loss=0.1795, simple_loss=0.2529, pruned_loss=0.05309, over 14040.00 frames. utt_duration=712.4 frames, utt_pad_proportion=0.0527, over 79.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3514, pruned_loss=0.1032, over 2784030.30 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07142, over 46866.98 utterances.], batch size: 79, lr: 2.06e-04
+2022-09-18 22:58:08,090 INFO [train.py:885] (1/2) Epoch 23, batch 1950, loss[loss=0.396, simple_loss=0.4564, pruned_loss=0.1679, over 13773.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07183, over 411.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3545, pruned_loss=0.1047, over 2779536.11 frames. utt_duration=231 frames, utt_pad_proportion=0.07397, over 48437.11 utterances.], batch size: 411, lr: 2.06e-04
+2022-09-18 22:58:37,411 INFO [train.py:885] (1/2) Epoch 23, batch 2000, loss[loss=0.1454, simple_loss=0.2093, pruned_loss=0.04073, over 12265.00 frames. utt_duration=2046 frames, utt_pad_proportion=0.1785, over 24.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3523, pruned_loss=0.1045, over 2780724.83 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07164, over 46910.51 utterances.], batch size: 24, lr: 2.06e-04
+2022-09-18 22:59:07,587 INFO [train.py:885] (1/2) Epoch 23, batch 2050, loss[loss=0.2474, simple_loss=0.3345, pruned_loss=0.08011, over 14293.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.0386, over 180.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3543, pruned_loss=0.1054, over 2778341.09 frames. utt_duration=236.9 frames, utt_pad_proportion=0.0747, over 47215.23 utterances.], batch size: 180, lr: 2.06e-04
+2022-09-18 22:59:37,412 INFO [train.py:885] (1/2) Epoch 23, batch 2100, loss[loss=0.3215, simple_loss=0.4191, pruned_loss=0.1119, over 13640.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08026, over 477.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3514, pruned_loss=0.1035, over 2779679.49 frames. utt_duration=239 frames, utt_pad_proportion=0.07277, over 46811.98 utterances.], batch size: 477, lr: 2.06e-04
+2022-09-18 23:00:07,530 INFO [train.py:885] (1/2) Epoch 23, batch 2150, loss[loss=0.2886, simple_loss=0.386, pruned_loss=0.09558, over 13760.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07243, over 411.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3538, pruned_loss=0.1048, over 2781654.36 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07187, over 47426.96 utterances.], batch size: 411, lr: 2.06e-04
+2022-09-18 23:00:36,893 INFO [train.py:885] (1/2) Epoch 23, batch 2200, loss[loss=0.3108, simple_loss=0.3753, pruned_loss=0.1232, over 14334.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03965, over 167.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3516, pruned_loss=0.1039, over 2778310.57 frames. utt_duration=238.4 frames, utt_pad_proportion=0.0726, over 46914.57 utterances.], batch size: 167, lr: 2.06e-04
+2022-09-18 23:01:07,156 INFO [train.py:885] (1/2) Epoch 23, batch 2250, loss[loss=0.1881, simple_loss=0.2378, pruned_loss=0.06916, over 12681.00 frames. utt_duration=2031 frames, utt_pad_proportion=0.1272, over 25.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3508, pruned_loss=0.1029, over 2779458.50 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07314, over 46968.48 utterances.], batch size: 25, lr: 2.06e-04
+2022-09-18 23:01:36,806 INFO [train.py:885] (1/2) Epoch 23, batch 2300, loss[loss=0.2159, simple_loss=0.2944, pruned_loss=0.06863, over 14215.00 frames. utt_duration=640.3 frames, utt_pad_proportion=0.04427, over 89.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3515, pruned_loss=0.1042, over 2782804.74 frames. utt_duration=241 frames, utt_pad_proportion=0.07276, over 46464.80 utterances.], batch size: 89, lr: 2.06e-04
+2022-09-18 23:02:06,651 INFO [train.py:885] (1/2) Epoch 23, batch 2350, loss[loss=0.3452, simple_loss=0.4027, pruned_loss=0.1439, over 14202.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04467, over 306.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3492, pruned_loss=0.103, over 2780923.21 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07183, over 45360.21 utterances.], batch size: 306, lr: 2.06e-04
+2022-09-18 23:02:36,892 INFO [train.py:885] (1/2) Epoch 23, batch 2400, loss[loss=0.2375, simple_loss=0.3129, pruned_loss=0.08104, over 14105.00 frames. utt_duration=519.1 frames, utt_pad_proportion=0.04935, over 109.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3485, pruned_loss=0.1021, over 2783174.09 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07075, over 45268.67 utterances.], batch size: 109, lr: 2.06e-04
+2022-09-18 23:03:07,575 INFO [train.py:885] (1/2) Epoch 23, batch 2450, loss[loss=0.3915, simple_loss=0.4824, pruned_loss=0.1503, over 13111.00 frames. utt_duration=81.87 frames, utt_pad_proportion=0.1101, over 653.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3511, pruned_loss=0.1036, over 2780314.44 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07243, over 46681.78 utterances.], batch size: 653, lr: 2.06e-04
+2022-09-18 23:03:37,289 INFO [train.py:885] (1/2) Epoch 23, batch 2500, loss[loss=0.4779, simple_loss=0.5818, pruned_loss=0.187, over 12467.00 frames. utt_duration=63.16 frames, utt_pad_proportion=0.1464, over 810.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.353, pruned_loss=0.1042, over 2781090.66 frames. utt_duration=237.2 frames, utt_pad_proportion=0.0728, over 47195.31 utterances.], batch size: 810, lr: 2.06e-04
+2022-09-18 23:04:07,525 INFO [train.py:885] (1/2) Epoch 23, batch 2550, loss[loss=0.2483, simple_loss=0.3229, pruned_loss=0.08689, over 14359.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.03452, over 130.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.352, pruned_loss=0.1044, over 2781931.96 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07097, over 46213.35 utterances.], batch size: 130, lr: 2.06e-04
+2022-09-18 23:04:37,481 INFO [train.py:885] (1/2) Epoch 23, batch 2600, loss[loss=0.4988, simple_loss=0.5888, pruned_loss=0.2044, over 12491.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1448, over 810.00 utterances.], tot_loss[loss=0.2842, simple_loss=0.3557, pruned_loss=0.1063, over 2781054.13 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07299, over 47892.29 utterances.], batch size: 810, lr: 2.06e-04
+2022-09-18 23:05:07,036 INFO [train.py:885] (1/2) Epoch 23, batch 2650, loss[loss=0.2188, simple_loss=0.3071, pruned_loss=0.06523, over 14300.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.04043, over 130.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3554, pruned_loss=0.1058, over 2783989.08 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07127, over 47660.47 utterances.], batch size: 130, lr: 2.06e-04
+2022-09-18 23:05:36,650 INFO [train.py:885] (1/2) Epoch 23, batch 2700, loss[loss=0.24, simple_loss=0.3192, pruned_loss=0.08043, over 14329.00 frames. utt_duration=479 frames, utt_pad_proportion=0.03824, over 120.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.353, pruned_loss=0.1042, over 2782862.45 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07042, over 47143.97 utterances.], batch size: 120, lr: 2.05e-04
+2022-09-18 23:06:06,812 INFO [train.py:885] (1/2) Epoch 23, batch 2750, loss[loss=0.3419, simple_loss=0.399, pruned_loss=0.1424, over 14247.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04254, over 335.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3526, pruned_loss=0.1034, over 2779752.52 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07247, over 47881.57 utterances.], batch size: 335, lr: 2.05e-04
+2022-09-18 23:06:36,770 INFO [train.py:885] (1/2) Epoch 23, batch 2800, loss[loss=0.1834, simple_loss=0.2555, pruned_loss=0.05569, over 13574.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08091, over 50.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3538, pruned_loss=0.1046, over 2777360.06 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07315, over 47956.36 utterances.], batch size: 50, lr: 2.05e-04
+2022-09-18 23:07:06,081 INFO [train.py:885] (1/2) Epoch 23, batch 2850, loss[loss=0.2514, simple_loss=0.3332, pruned_loss=0.08477, over 14350.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.0385, over 167.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3541, pruned_loss=0.1052, over 2781472.24 frames. utt_duration=233.8 frames, utt_pad_proportion=0.07294, over 47886.44 utterances.], batch size: 167, lr: 2.05e-04
+2022-09-18 23:07:36,232 INFO [train.py:885] (1/2) Epoch 23, batch 2900, loss[loss=0.3981, simple_loss=0.4752, pruned_loss=0.1605, over 13596.00 frames. utt_duration=98.55 frames, utt_pad_proportion=0.07894, over 560.00 utterances.], tot_loss[loss=0.2827, simple_loss=0.3539, pruned_loss=0.1057, over 2786341.34 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07186, over 47197.82 utterances.], batch size: 560, lr: 2.05e-04
+2022-09-18 23:08:06,593 INFO [train.py:885] (1/2) Epoch 23, batch 2950, loss[loss=0.178, simple_loss=0.2442, pruned_loss=0.05594, over 14025.00 frames. utt_duration=803 frames, utt_pad_proportion=0.06077, over 70.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3517, pruned_loss=0.1047, over 2786008.22 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07193, over 46356.93 utterances.], batch size: 70, lr: 2.05e-04
+2022-09-18 23:08:36,799 INFO [train.py:885] (1/2) Epoch 23, batch 3000, loss[loss=0.333, simple_loss=0.3941, pruned_loss=0.136, over 14293.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.0394, over 225.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3517, pruned_loss=0.1044, over 2787758.44 frames. utt_duration=239.6 frames, utt_pad_proportion=0.0709, over 46831.83 utterances.], batch size: 225, lr: 2.05e-04
+2022-09-18 23:08:36,800 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 23:08:41,020 INFO [train.py:914] (1/2) Epoch 23, validation: loss=0.184, simple_loss=0.2639, pruned_loss=0.05207, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 23:09:10,780 INFO [train.py:885] (1/2) Epoch 23, batch 3050, loss[loss=0.2675, simple_loss=0.3378, pruned_loss=0.09859, over 14277.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.03782, over 154.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3508, pruned_loss=0.104, over 2784716.84 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07212, over 46629.56 utterances.], batch size: 154, lr: 2.05e-04
+2022-09-18 23:09:40,798 INFO [train.py:885] (1/2) Epoch 23, batch 3100, loss[loss=0.3813, simple_loss=0.4517, pruned_loss=0.1554, over 13614.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08183, over 477.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3483, pruned_loss=0.103, over 2778340.23 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07314, over 46269.58 utterances.], batch size: 477, lr: 2.05e-04
+2022-09-18 23:10:10,276 INFO [train.py:885] (1/2) Epoch 23, batch 3150, loss[loss=0.2843, simple_loss=0.3634, pruned_loss=0.1026, over 14376.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03585, over 244.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3518, pruned_loss=0.1043, over 2777902.98 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07405, over 48219.83 utterances.], batch size: 244, lr: 2.05e-04
+2022-09-18 23:10:39,070 INFO [train.py:885] (1/2) Epoch 23, batch 3200, loss[loss=0.2705, simple_loss=0.3482, pruned_loss=0.09642, over 14271.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04063, over 225.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3501, pruned_loss=0.1036, over 2780459.13 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07225, over 47357.45 utterances.], batch size: 225, lr: 2.05e-04
+2022-09-18 23:11:08,946 INFO [train.py:885] (1/2) Epoch 23, batch 3250, loss[loss=0.2045, simple_loss=0.2845, pruned_loss=0.06224, over 14038.00 frames. utt_duration=574.4 frames, utt_pad_proportion=0.05841, over 98.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3499, pruned_loss=0.1035, over 2778874.68 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07284, over 46974.08 utterances.], batch size: 98, lr: 2.05e-04
+2022-09-18 23:11:39,534 INFO [train.py:885] (1/2) Epoch 23, batch 3300, loss[loss=0.1667, simple_loss=0.2261, pruned_loss=0.05366, over 13351.00 frames. utt_duration=1620 frames, utt_pad_proportion=0.1047, over 33.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3508, pruned_loss=0.1036, over 2778921.18 frames. utt_duration=235 frames, utt_pad_proportion=0.07303, over 47594.33 utterances.], batch size: 33, lr: 2.05e-04
+2022-09-18 23:12:09,004 INFO [train.py:885] (1/2) Epoch 23, batch 3350, loss[loss=0.3321, simple_loss=0.3953, pruned_loss=0.1345, over 14184.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04589, over 306.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3537, pruned_loss=0.1053, over 2779657.64 frames. utt_duration=229.6 frames, utt_pad_proportion=0.07275, over 48743.14 utterances.], batch size: 306, lr: 2.05e-04
+2022-09-18 23:12:39,028 INFO [train.py:885] (1/2) Epoch 23, batch 3400, loss[loss=0.4125, simple_loss=0.4979, pruned_loss=0.1636, over 13114.00 frames. utt_duration=81.87 frames, utt_pad_proportion=0.1101, over 653.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3506, pruned_loss=0.104, over 2778641.20 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07211, over 47006.35 utterances.], batch size: 653, lr: 2.05e-04
+2022-09-18 23:13:08,085 INFO [train.py:885] (1/2) Epoch 23, batch 3450, loss[loss=0.1925, simple_loss=0.2523, pruned_loss=0.06636, over 13085.00 frames. utt_duration=1587 frames, utt_pad_proportion=0.1205, over 33.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.35, pruned_loss=0.1032, over 2783623.51 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07026, over 46220.48 utterances.], batch size: 33, lr: 2.05e-04
+2022-09-18 23:13:37,769 INFO [train.py:885] (1/2) Epoch 23, batch 3500, loss[loss=0.2586, simple_loss=0.3368, pruned_loss=0.09019, over 14274.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04033, over 180.00 utterances.], tot_loss[loss=0.2809, simple_loss=0.3525, pruned_loss=0.1046, over 2779505.40 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07298, over 47265.94 utterances.], batch size: 180, lr: 2.05e-04
+2022-09-18 23:14:07,100 INFO [train.py:885] (1/2) Epoch 23, batch 3550, loss[loss=0.2842, simple_loss=0.3949, pruned_loss=0.08674, over 13651.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08011, over 477.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.351, pruned_loss=0.104, over 2773709.73 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07577, over 46823.42 utterances.], batch size: 477, lr: 2.05e-04
+2022-09-18 23:14:36,726 INFO [train.py:885] (1/2) Epoch 23, batch 3600, loss[loss=0.2405, simple_loss=0.3278, pruned_loss=0.07661, over 14283.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03964, over 180.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3472, pruned_loss=0.1023, over 2775643.74 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07376, over 45173.05 utterances.], batch size: 180, lr: 2.05e-04
+2022-09-18 23:15:06,094 INFO [train.py:885] (1/2) Epoch 23, batch 3650, loss[loss=0.2768, simple_loss=0.3428, pruned_loss=0.1054, over 14350.00 frames. utt_duration=479.8 frames, utt_pad_proportion=0.0366, over 120.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3494, pruned_loss=0.1037, over 2774180.16 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07479, over 45899.27 utterances.], batch size: 120, lr: 2.05e-04
+2022-09-18 23:15:36,291 INFO [train.py:885] (1/2) Epoch 23, batch 3700, loss[loss=0.1327, simple_loss=0.1932, pruned_loss=0.03612, over 12229.00 frames. utt_duration=2039 frames, utt_pad_proportion=0.1534, over 24.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3494, pruned_loss=0.1039, over 2771290.20 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07526, over 45924.33 utterances.], batch size: 24, lr: 2.05e-04
+2022-09-18 23:16:14,194 INFO [train.py:885] (1/2) Epoch 23, batch 3750, loss[loss=0.3545, simple_loss=0.4591, pruned_loss=0.1249, over 13103.00 frames. utt_duration=81.9 frames, utt_pad_proportion=0.1098, over 653.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3499, pruned_loss=0.1041, over 2774670.57 frames. utt_duration=245 frames, utt_pad_proportion=0.07442, over 45570.96 utterances.], batch size: 653, lr: 2.05e-04
+2022-09-18 23:16:43,832 INFO [train.py:885] (1/2) Epoch 23, batch 3800, loss[loss=0.373, simple_loss=0.4701, pruned_loss=0.138, over 13162.00 frames. utt_duration=82.14 frames, utt_pad_proportion=0.1072, over 653.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.35, pruned_loss=0.1035, over 2778883.10 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07322, over 45853.48 utterances.], batch size: 653, lr: 2.05e-04
+2022-09-18 23:17:12,850 INFO [train.py:885] (1/2) Epoch 23, batch 3850, loss[loss=0.2664, simple_loss=0.3413, pruned_loss=0.0958, over 14304.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03822, over 180.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3504, pruned_loss=0.1043, over 2782422.20 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07184, over 45541.66 utterances.], batch size: 180, lr: 2.05e-04
+2022-09-18 23:17:42,511 INFO [train.py:885] (1/2) Epoch 23, batch 3900, loss[loss=0.3331, simple_loss=0.4208, pruned_loss=0.1227, over 13650.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07965, over 477.00 utterances.], tot_loss[loss=0.2813, simple_loss=0.3526, pruned_loss=0.105, over 2785303.02 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07152, over 46401.15 utterances.], batch size: 477, lr: 2.05e-04
+2022-09-18 23:18:12,685 INFO [train.py:885] (1/2) Epoch 23, batch 3950, loss[loss=0.2212, simple_loss=0.2957, pruned_loss=0.07337, over 14136.00 frames. utt_duration=578.3 frames, utt_pad_proportion=0.0472, over 98.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3513, pruned_loss=0.1036, over 2785737.50 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07024, over 46590.71 utterances.], batch size: 98, lr: 2.05e-04
+2022-09-18 23:18:41,827 INFO [train.py:885] (1/2) Epoch 23, batch 4000, loss[loss=0.3074, simple_loss=0.4056, pruned_loss=0.1046, over 13757.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07291, over 411.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3485, pruned_loss=0.1023, over 2784450.37 frames. utt_duration=249 frames, utt_pad_proportion=0.06868, over 45000.75 utterances.], batch size: 411, lr: 2.05e-04
+2022-09-18 23:19:11,771 INFO [train.py:885] (1/2) Epoch 23, batch 4050, loss[loss=0.2869, simple_loss=0.392, pruned_loss=0.09092, over 13627.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08133, over 477.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3495, pruned_loss=0.1025, over 2786311.21 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06923, over 45720.37 utterances.], batch size: 477, lr: 2.05e-04
+2022-09-18 23:19:40,984 INFO [train.py:885] (1/2) Epoch 23, batch 4100, loss[loss=0.3078, simple_loss=0.3742, pruned_loss=0.1207, over 14247.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04237, over 225.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.35, pruned_loss=0.1036, over 2788848.48 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06824, over 45152.66 utterances.], batch size: 225, lr: 2.05e-04
+2022-09-18 23:20:11,792 INFO [train.py:885] (1/2) Epoch 23, batch 4150, loss[loss=0.3558, simple_loss=0.4104, pruned_loss=0.1505, over 14309.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.0381, over 180.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3498, pruned_loss=0.1039, over 2790090.66 frames. utt_duration=248.6 frames, utt_pad_proportion=0.0675, over 45152.73 utterances.], batch size: 180, lr: 2.05e-04
+2022-09-18 23:20:41,044 INFO [train.py:885] (1/2) Epoch 23, batch 4200, loss[loss=0.2886, simple_loss=0.3949, pruned_loss=0.09114, over 13591.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08367, over 477.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3472, pruned_loss=0.1022, over 2790600.80 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06739, over 44165.95 utterances.], batch size: 477, lr: 2.05e-04
+2022-09-18 23:21:09,806 INFO [train.py:885] (1/2) Epoch 23, batch 4250, loss[loss=0.1887, simple_loss=0.259, pruned_loss=0.0592, over 13928.00 frames. utt_duration=930.2 frames, utt_pad_proportion=0.0642, over 60.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3444, pruned_loss=0.1009, over 2787204.12 frames. utt_duration=257 frames, utt_pad_proportion=0.06831, over 43635.86 utterances.], batch size: 60, lr: 2.05e-04
+2022-09-18 23:21:39,633 INFO [train.py:885] (1/2) Epoch 23, batch 4300, loss[loss=0.2186, simple_loss=0.275, pruned_loss=0.08113, over 13907.00 frames. utt_duration=807.6 frames, utt_pad_proportion=0.05875, over 69.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3445, pruned_loss=0.1011, over 2784925.00 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06949, over 43405.47 utterances.], batch size: 69, lr: 2.05e-04
+2022-09-18 23:22:09,431 INFO [train.py:885] (1/2) Epoch 23, batch 4350, loss[loss=0.3488, simple_loss=0.4067, pruned_loss=0.1455, over 14243.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.04187, over 306.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3444, pruned_loss=0.1006, over 2780712.67 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07184, over 44174.23 utterances.], batch size: 306, lr: 2.05e-04
+2022-09-18 23:22:38,550 INFO [train.py:885] (1/2) Epoch 23, batch 4400, loss[loss=0.2916, simple_loss=0.3463, pruned_loss=0.1184, over 14320.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.0387, over 120.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.346, pruned_loss=0.1021, over 2783455.15 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07187, over 43842.92 utterances.], batch size: 120, lr: 2.05e-04
+2022-09-18 23:23:08,355 INFO [train.py:885] (1/2) Epoch 23, batch 4450, loss[loss=0.2796, simple_loss=0.3684, pruned_loss=0.09542, over 13984.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05665, over 365.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3454, pruned_loss=0.101, over 2780148.42 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07292, over 44350.21 utterances.], batch size: 365, lr: 2.05e-04
+2022-09-18 23:23:38,194 INFO [train.py:885] (1/2) Epoch 23, batch 4500, loss[loss=0.377, simple_loss=0.4265, pruned_loss=0.1637, over 14189.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04553, over 306.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3435, pruned_loss=0.09989, over 2781409.42 frames. utt_duration=258.8 frames, utt_pad_proportion=0.07223, over 43228.53 utterances.], batch size: 306, lr: 2.05e-04
+2022-09-18 23:24:07,822 INFO [train.py:885] (1/2) Epoch 23, batch 4550, loss[loss=0.2006, simple_loss=0.2763, pruned_loss=0.06247, over 14204.00 frames. utt_duration=639.8 frames, utt_pad_proportion=0.0437, over 89.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3448, pruned_loss=0.09998, over 2786220.56 frames. utt_duration=256.2 frames, utt_pad_proportion=0.07035, over 43745.56 utterances.], batch size: 89, lr: 2.05e-04
+2022-09-18 23:24:37,760 INFO [train.py:885] (1/2) Epoch 23, batch 4600, loss[loss=0.2674, simple_loss=0.3344, pruned_loss=0.1002, over 14367.00 frames. utt_duration=374.7 frames, utt_pad_proportion=0.03676, over 154.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3477, pruned_loss=0.1009, over 2780856.69 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07273, over 45956.41 utterances.], batch size: 154, lr: 2.05e-04
+2022-09-18 23:25:07,193 INFO [train.py:885] (1/2) Epoch 23, batch 4650, loss[loss=0.3515, simple_loss=0.4197, pruned_loss=0.1417, over 14007.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05541, over 365.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3498, pruned_loss=0.1025, over 2783812.97 frames. utt_duration=241 frames, utt_pad_proportion=0.07239, over 46486.26 utterances.], batch size: 365, lr: 2.05e-04
+2022-09-18 23:25:36,771 INFO [train.py:885] (1/2) Epoch 23, batch 4700, loss[loss=0.3023, simple_loss=0.3693, pruned_loss=0.1177, over 14302.00 frames. utt_duration=255.8 frames, utt_pad_proportion=0.03853, over 225.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.352, pruned_loss=0.1037, over 2781925.54 frames. utt_duration=238 frames, utt_pad_proportion=0.07274, over 47055.66 utterances.], batch size: 225, lr: 2.05e-04
+2022-09-18 23:26:05,932 INFO [train.py:885] (1/2) Epoch 23, batch 4750, loss[loss=0.3147, simple_loss=0.3826, pruned_loss=0.1234, over 14258.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04162, over 225.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3529, pruned_loss=0.1043, over 2774254.10 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07457, over 47182.82 utterances.], batch size: 225, lr: 2.05e-04
+2022-09-18 23:26:35,201 INFO [train.py:885] (1/2) Epoch 23, batch 4800, loss[loss=0.2923, simple_loss=0.3861, pruned_loss=0.0993, over 13761.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07253, over 411.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3515, pruned_loss=0.1043, over 2779081.39 frames. utt_duration=245.4 frames, utt_pad_proportion=0.0721, over 45566.64 utterances.], batch size: 411, lr: 2.05e-04
+2022-09-18 23:27:04,847 INFO [train.py:885] (1/2) Epoch 23, batch 4850, loss[loss=0.2887, simple_loss=0.3546, pruned_loss=0.1114, over 14299.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03857, over 180.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3501, pruned_loss=0.1033, over 2777569.70 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07173, over 45282.38 utterances.], batch size: 180, lr: 2.05e-04
+2022-09-18 23:27:34,188 INFO [train.py:885] (1/2) Epoch 23, batch 4900, loss[loss=0.1472, simple_loss=0.205, pruned_loss=0.04471, over 12245.00 frames. utt_duration=2042 frames, utt_pad_proportion=0.1772, over 24.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3478, pruned_loss=0.102, over 2778582.16 frames. utt_duration=252.1 frames, utt_pad_proportion=0.0715, over 44345.97 utterances.], batch size: 24, lr: 2.05e-04
+2022-09-18 23:28:03,727 INFO [train.py:885] (1/2) Epoch 23, batch 4950, loss[loss=0.4027, simple_loss=0.4901, pruned_loss=0.1576, over 13187.00 frames. utt_duration=82.27 frames, utt_pad_proportion=0.1058, over 653.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3504, pruned_loss=0.1024, over 2776104.77 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07372, over 46179.04 utterances.], batch size: 653, lr: 2.05e-04
+2022-09-18 23:28:33,466 INFO [train.py:885] (1/2) Epoch 23, batch 5000, loss[loss=0.2732, simple_loss=0.3653, pruned_loss=0.0906, over 14009.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05571, over 365.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3514, pruned_loss=0.1038, over 2780131.58 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07257, over 45709.89 utterances.], batch size: 365, lr: 2.05e-04
+2022-09-18 23:29:03,259 INFO [train.py:885] (1/2) Epoch 23, batch 5050, loss[loss=0.4161, simple_loss=0.4964, pruned_loss=0.1679, over 13161.00 frames. utt_duration=82.14 frames, utt_pad_proportion=0.1071, over 653.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3524, pruned_loss=0.105, over 2780815.46 frames. utt_duration=245 frames, utt_pad_proportion=0.07102, over 45673.59 utterances.], batch size: 653, lr: 2.05e-04
+2022-09-18 23:29:32,320 INFO [train.py:885] (1/2) Epoch 23, batch 5100, loss[loss=0.1824, simple_loss=0.2554, pruned_loss=0.05473, over 13969.00 frames. utt_duration=932.5 frames, utt_pad_proportion=0.06372, over 60.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3473, pruned_loss=0.103, over 2781457.41 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06884, over 43608.58 utterances.], batch size: 60, lr: 2.05e-04
+2022-09-18 23:30:01,873 INFO [train.py:885] (1/2) Epoch 23, batch 5150, loss[loss=0.1652, simple_loss=0.2268, pruned_loss=0.05183, over 13454.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.09424, over 50.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3489, pruned_loss=0.1042, over 2780277.33 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07024, over 44060.54 utterances.], batch size: 50, lr: 2.05e-04
+2022-09-18 23:30:31,723 INFO [train.py:885] (1/2) Epoch 23, batch 5200, loss[loss=0.2434, simple_loss=0.3093, pruned_loss=0.0888, over 14127.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.05269, over 98.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3493, pruned_loss=0.1039, over 2779548.27 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07241, over 45507.66 utterances.], batch size: 98, lr: 2.05e-04
+2022-09-18 23:31:01,798 INFO [train.py:885] (1/2) Epoch 23, batch 5250, loss[loss=0.1175, simple_loss=0.1641, pruned_loss=0.0354, over 12410.00 frames. utt_duration=2070 frames, utt_pad_proportion=0.1641, over 24.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3459, pruned_loss=0.1028, over 2778553.85 frames. utt_duration=250.9 frames, utt_pad_proportion=0.0697, over 44559.19 utterances.], batch size: 24, lr: 2.05e-04
+2022-09-18 23:31:30,821 INFO [train.py:885] (1/2) Epoch 23, batch 5300, loss[loss=0.1517, simple_loss=0.2212, pruned_loss=0.04113, over 13418.00 frames. utt_duration=1075 frames, utt_pad_proportion=0.08857, over 50.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3415, pruned_loss=0.0998, over 2779699.63 frames. utt_duration=257 frames, utt_pad_proportion=0.06919, over 43504.86 utterances.], batch size: 50, lr: 2.05e-04
+2022-09-18 23:32:00,649 INFO [train.py:885] (1/2) Epoch 23, batch 5350, loss[loss=0.1832, simple_loss=0.2598, pruned_loss=0.05335, over 14053.00 frames. utt_duration=712.9 frames, utt_pad_proportion=0.05706, over 79.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3452, pruned_loss=0.1011, over 2783584.31 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06952, over 44740.37 utterances.], batch size: 79, lr: 2.05e-04
+2022-09-18 23:32:30,522 INFO [train.py:885] (1/2) Epoch 23, batch 5400, loss[loss=0.17, simple_loss=0.231, pruned_loss=0.05451, over 13677.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08109, over 42.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3458, pruned_loss=0.1015, over 2783133.09 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07006, over 45264.86 utterances.], batch size: 42, lr: 2.05e-04
+2022-09-18 23:33:07,955 INFO [train.py:885] (1/2) Epoch 23, batch 5450, loss[loss=0.2662, simple_loss=0.3406, pruned_loss=0.09594, over 14311.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.0382, over 180.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3455, pruned_loss=0.1012, over 2781524.49 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07036, over 45227.07 utterances.], batch size: 180, lr: 2.04e-04
+2022-09-18 23:33:37,660 INFO [train.py:885] (1/2) Epoch 23, batch 5500, loss[loss=0.34, simple_loss=0.3985, pruned_loss=0.1408, over 14302.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.0386, over 180.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3476, pruned_loss=0.1025, over 2780940.25 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06982, over 45172.35 utterances.], batch size: 180, lr: 2.04e-04
+2022-09-18 23:34:07,041 INFO [train.py:885] (1/2) Epoch 23, batch 5550, loss[loss=0.3437, simple_loss=0.399, pruned_loss=0.1442, over 14334.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03916, over 154.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3462, pruned_loss=0.1015, over 2781701.33 frames. utt_duration=250 frames, utt_pad_proportion=0.06869, over 44766.92 utterances.], batch size: 154, lr: 2.04e-04
+2022-09-18 23:34:36,959 INFO [train.py:885] (1/2) Epoch 23, batch 5600, loss[loss=0.2902, simple_loss=0.3624, pruned_loss=0.109, over 14325.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03843, over 262.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3471, pruned_loss=0.1015, over 2784972.08 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06791, over 44985.14 utterances.], batch size: 262, lr: 2.04e-04
+2022-09-18 23:35:06,252 INFO [train.py:885] (1/2) Epoch 23, batch 5650, loss[loss=0.4019, simple_loss=0.459, pruned_loss=0.1724, over 14016.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05433, over 365.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3484, pruned_loss=0.1032, over 2784142.73 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06673, over 44927.92 utterances.], batch size: 365, lr: 2.04e-04
+2022-09-18 23:35:36,801 INFO [train.py:885] (1/2) Epoch 23, batch 5700, loss[loss=0.2598, simple_loss=0.3277, pruned_loss=0.096, over 14206.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.04268, over 109.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3507, pruned_loss=0.1037, over 2786723.39 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06729, over 45561.51 utterances.], batch size: 109, lr: 2.04e-04
+2022-09-18 23:36:05,981 INFO [train.py:885] (1/2) Epoch 23, batch 5750, loss[loss=0.3066, simple_loss=0.4083, pruned_loss=0.1024, over 13643.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.07481, over 478.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.347, pruned_loss=0.1018, over 2788622.83 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06541, over 43923.38 utterances.], batch size: 478, lr: 2.04e-04
+2022-09-18 23:36:35,169 INFO [train.py:885] (1/2) Epoch 23, batch 5800, loss[loss=0.2555, simple_loss=0.3382, pruned_loss=0.08637, over 14279.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04013, over 180.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3446, pruned_loss=0.1005, over 2783855.47 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06623, over 43693.63 utterances.], batch size: 180, lr: 2.04e-04
+2022-09-18 23:37:04,873 INFO [train.py:885] (1/2) Epoch 23, batch 5850, loss[loss=0.6051, simple_loss=0.6578, pruned_loss=0.2761, over 12528.00 frames. utt_duration=63.34 frames, utt_pad_proportion=0.144, over 811.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.348, pruned_loss=0.1018, over 2783313.83 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06763, over 45221.31 utterances.], batch size: 811, lr: 2.04e-04
+2022-09-18 23:37:34,278 INFO [train.py:885] (1/2) Epoch 23, batch 5900, loss[loss=0.2502, simple_loss=0.3135, pruned_loss=0.09345, over 14206.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.04268, over 109.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3504, pruned_loss=0.103, over 2788972.79 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06639, over 46041.77 utterances.], batch size: 109, lr: 2.04e-04
+2022-09-18 23:38:03,669 INFO [train.py:885] (1/2) Epoch 23, batch 5950, loss[loss=0.1738, simple_loss=0.2515, pruned_loss=0.04804, over 14074.00 frames. utt_duration=805.8 frames, utt_pad_proportion=0.05759, over 70.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3516, pruned_loss=0.1033, over 2788651.11 frames. utt_duration=239.2 frames, utt_pad_proportion=0.06793, over 46918.82 utterances.], batch size: 70, lr: 2.04e-04
+2022-09-18 23:38:33,042 INFO [train.py:885] (1/2) Epoch 23, batch 6000, loss[loss=0.2329, simple_loss=0.2888, pruned_loss=0.08853, over 13986.00 frames. utt_duration=709.7 frames, utt_pad_proportion=0.0612, over 79.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3494, pruned_loss=0.1024, over 2786430.44 frames. utt_duration=242.5 frames, utt_pad_proportion=0.06873, over 46249.16 utterances.], batch size: 79, lr: 2.04e-04
+2022-09-18 23:38:33,043 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-18 23:38:37,788 INFO [train.py:914] (1/2) Epoch 23, validation: loss=0.1951, simple_loss=0.2729, pruned_loss=0.05862, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-18 23:39:07,589 INFO [train.py:885] (1/2) Epoch 23, batch 6050, loss[loss=0.2849, simple_loss=0.3591, pruned_loss=0.1054, over 14307.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.0384, over 180.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3504, pruned_loss=0.1029, over 2785483.08 frames. utt_duration=239.6 frames, utt_pad_proportion=0.06913, over 46780.69 utterances.], batch size: 180, lr: 2.04e-04
+2022-09-18 23:39:37,633 INFO [train.py:885] (1/2) Epoch 23, batch 6100, loss[loss=0.3148, simple_loss=0.3981, pruned_loss=0.1157, over 14003.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05548, over 365.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3535, pruned_loss=0.1049, over 2781996.14 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07211, over 48033.68 utterances.], batch size: 365, lr: 2.04e-04
+2022-09-18 23:40:06,896 INFO [train.py:885] (1/2) Epoch 23, batch 6150, loss[loss=0.2947, simple_loss=0.3669, pruned_loss=0.1112, over 14360.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03562, over 210.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3536, pruned_loss=0.1047, over 2778489.63 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07339, over 48284.75 utterances.], batch size: 210, lr: 2.04e-04
+2022-09-18 23:40:36,651 INFO [train.py:885] (1/2) Epoch 23, batch 6200, loss[loss=0.4277, simple_loss=0.4657, pruned_loss=0.1948, over 14324.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.03805, over 226.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3524, pruned_loss=0.1047, over 2782935.28 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07024, over 47020.44 utterances.], batch size: 226, lr: 2.04e-04
+2022-09-18 23:41:06,227 INFO [train.py:885] (1/2) Epoch 23, batch 6250, loss[loss=0.3589, simple_loss=0.4091, pruned_loss=0.1544, over 14357.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03571, over 195.00 utterances.], tot_loss[loss=0.2835, simple_loss=0.3549, pruned_loss=0.106, over 2787806.77 frames. utt_duration=236.7 frames, utt_pad_proportion=0.06795, over 47413.65 utterances.], batch size: 195, lr: 2.04e-04
+2022-09-18 23:41:35,725 INFO [train.py:885] (1/2) Epoch 23, batch 6300, loss[loss=0.3416, simple_loss=0.4018, pruned_loss=0.1407, over 14242.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04344, over 335.00 utterances.], tot_loss[loss=0.2851, simple_loss=0.3564, pruned_loss=0.1069, over 2786026.83 frames. utt_duration=235.2 frames, utt_pad_proportion=0.06948, over 47682.32 utterances.], batch size: 335, lr: 2.04e-04
+2022-09-18 23:42:04,889 INFO [train.py:885] (1/2) Epoch 23, batch 6350, loss[loss=0.2719, simple_loss=0.349, pruned_loss=0.09743, over 14377.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03696, over 167.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3496, pruned_loss=0.1041, over 2787228.30 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06684, over 44778.78 utterances.], batch size: 167, lr: 2.04e-04
+2022-09-18 23:42:35,067 INFO [train.py:885] (1/2) Epoch 23, batch 6400, loss[loss=0.1447, simple_loss=0.1943, pruned_loss=0.04759, over 13139.00 frames. utt_duration=1594 frames, utt_pad_proportion=0.119, over 33.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3463, pruned_loss=0.1016, over 2783855.48 frames. utt_duration=250.5 frames, utt_pad_proportion=0.0675, over 44711.64 utterances.], batch size: 33, lr: 2.04e-04
+2022-09-18 23:43:04,951 INFO [train.py:885] (1/2) Epoch 23, batch 6450, loss[loss=0.3602, simple_loss=0.4067, pruned_loss=0.1568, over 14302.00 frames. utt_duration=344 frames, utt_pad_proportion=0.04175, over 167.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.345, pruned_loss=0.1014, over 2784927.45 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06825, over 44258.05 utterances.], batch size: 167, lr: 2.04e-04
+2022-09-18 23:43:35,029 INFO [train.py:885] (1/2) Epoch 23, batch 6500, loss[loss=0.2393, simple_loss=0.3282, pruned_loss=0.07516, over 14292.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03911, over 180.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3472, pruned_loss=0.1016, over 2788366.82 frames. utt_duration=250.8 frames, utt_pad_proportion=0.0665, over 44739.09 utterances.], batch size: 180, lr: 2.04e-04
+2022-09-18 23:44:03,987 INFO [train.py:885] (1/2) Epoch 23, batch 6550, loss[loss=0.1964, simple_loss=0.2786, pruned_loss=0.05713, over 14025.00 frames. utt_duration=711.8 frames, utt_pad_proportion=0.05844, over 79.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3448, pruned_loss=0.1008, over 2786277.57 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06728, over 44143.54 utterances.], batch size: 79, lr: 2.04e-04
+2022-09-18 23:44:33,637 INFO [train.py:885] (1/2) Epoch 23, batch 6600, loss[loss=0.2062, simple_loss=0.2603, pruned_loss=0.07609, over 13420.00 frames. utt_duration=1075 frames, utt_pad_proportion=0.0965, over 50.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3455, pruned_loss=0.09991, over 2786545.30 frames. utt_duration=247.3 frames, utt_pad_proportion=0.068, over 45335.26 utterances.], batch size: 50, lr: 2.04e-04
+2022-09-18 23:45:03,827 INFO [train.py:885] (1/2) Epoch 23, batch 6650, loss[loss=0.7181, simple_loss=0.7406, pruned_loss=0.3478, over 12487.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1478, over 811.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.347, pruned_loss=0.1008, over 2782215.01 frames. utt_duration=243.9 frames, utt_pad_proportion=0.0706, over 45909.12 utterances.], batch size: 811, lr: 2.04e-04
+2022-09-18 23:45:33,120 INFO [train.py:885] (1/2) Epoch 23, batch 6700, loss[loss=0.5252, simple_loss=0.6006, pruned_loss=0.2249, over 12479.00 frames. utt_duration=63.16 frames, utt_pad_proportion=0.1465, over 811.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3456, pruned_loss=0.09955, over 2777391.98 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07232, over 45836.59 utterances.], batch size: 811, lr: 2.04e-04
+2022-09-18 23:46:03,087 INFO [train.py:885] (1/2) Epoch 23, batch 6750, loss[loss=0.3179, simple_loss=0.3818, pruned_loss=0.127, over 14392.00 frames. utt_duration=296.7 frames, utt_pad_proportion=0.03353, over 195.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3441, pruned_loss=0.09964, over 2776151.98 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06982, over 44207.64 utterances.], batch size: 195, lr: 2.04e-04
+2022-09-18 23:46:32,424 INFO [train.py:885] (1/2) Epoch 23, batch 6800, loss[loss=0.2043, simple_loss=0.2841, pruned_loss=0.06223, over 14173.00 frames. utt_duration=638.5 frames, utt_pad_proportion=0.04844, over 89.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3493, pruned_loss=0.1029, over 2777473.83 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07134, over 45774.59 utterances.], batch size: 89, lr: 2.04e-04
+2022-09-18 23:47:02,154 INFO [train.py:885] (1/2) Epoch 23, batch 6850, loss[loss=0.3229, simple_loss=0.3881, pruned_loss=0.1289, over 14240.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04222, over 306.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3478, pruned_loss=0.1021, over 2775812.76 frames. utt_duration=247 frames, utt_pad_proportion=0.07131, over 45225.53 utterances.], batch size: 306, lr: 2.04e-04
+2022-09-18 23:47:31,445 INFO [train.py:885] (1/2) Epoch 23, batch 6900, loss[loss=0.2873, simple_loss=0.3492, pruned_loss=0.1127, over 14298.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.03996, over 120.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3488, pruned_loss=0.1028, over 2777255.97 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07261, over 45776.92 utterances.], batch size: 120, lr: 2.04e-04
+2022-09-18 23:48:01,062 INFO [train.py:885] (1/2) Epoch 23, batch 6950, loss[loss=0.3741, simple_loss=0.4148, pruned_loss=0.1667, over 14292.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04092, over 262.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3486, pruned_loss=0.1033, over 2778401.20 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07191, over 45596.74 utterances.], batch size: 262, lr: 2.04e-04
+2022-09-18 23:48:30,167 INFO [train.py:885] (1/2) Epoch 23, batch 7000, loss[loss=0.1556, simple_loss=0.2056, pruned_loss=0.05275, over 13052.00 frames. utt_duration=1583 frames, utt_pad_proportion=0.1238, over 33.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3486, pruned_loss=0.1032, over 2777778.19 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07183, over 45606.18 utterances.], batch size: 33, lr: 2.04e-04
+2022-09-18 23:48:59,950 INFO [train.py:885] (1/2) Epoch 23, batch 7050, loss[loss=0.2189, simple_loss=0.2851, pruned_loss=0.07636, over 14049.00 frames. utt_duration=574.8 frames, utt_pad_proportion=0.05453, over 98.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3427, pruned_loss=0.1003, over 2774486.50 frames. utt_duration=259.6 frames, utt_pad_proportion=0.07062, over 43003.59 utterances.], batch size: 98, lr: 2.04e-04
+2022-09-18 23:49:29,158 INFO [train.py:885] (1/2) Epoch 23, batch 7100, loss[loss=0.2674, simple_loss=0.3484, pruned_loss=0.09318, over 14339.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03689, over 210.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3463, pruned_loss=0.1022, over 2775053.39 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07233, over 44260.61 utterances.], batch size: 210, lr: 2.04e-04
+2022-09-18 23:49:58,741 INFO [train.py:885] (1/2) Epoch 23, batch 7150, loss[loss=0.2063, simple_loss=0.2828, pruned_loss=0.06486, over 14077.00 frames. utt_duration=576 frames, utt_pad_proportion=0.05567, over 98.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3431, pruned_loss=0.1009, over 2776430.54 frames. utt_duration=259.1 frames, utt_pad_proportion=0.07057, over 43112.07 utterances.], batch size: 98, lr: 2.04e-04
+2022-09-18 23:50:28,769 INFO [train.py:885] (1/2) Epoch 23, batch 7200, loss[loss=0.3836, simple_loss=0.478, pruned_loss=0.1445, over 13141.00 frames. utt_duration=82.03 frames, utt_pad_proportion=0.1084, over 653.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3474, pruned_loss=0.1034, over 2776972.90 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07251, over 44440.54 utterances.], batch size: 653, lr: 2.04e-04
+2022-09-18 23:50:58,557 INFO [train.py:885] (1/2) Epoch 23, batch 7250, loss[loss=0.2388, simple_loss=0.3022, pruned_loss=0.08769, over 13775.00 frames. utt_duration=919.9 frames, utt_pad_proportion=0.07549, over 60.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3473, pruned_loss=0.1034, over 2775546.27 frames. utt_duration=252.6 frames, utt_pad_proportion=0.0724, over 44209.36 utterances.], batch size: 60, lr: 2.04e-04
+2022-09-18 23:51:28,281 INFO [train.py:885] (1/2) Epoch 23, batch 7300, loss[loss=0.2144, simple_loss=0.2917, pruned_loss=0.06857, over 14332.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.0379, over 120.00 utterances.], tot_loss[loss=0.2816, simple_loss=0.3517, pruned_loss=0.1057, over 2778596.65 frames. utt_duration=243 frames, utt_pad_proportion=0.07201, over 46024.42 utterances.], batch size: 120, lr: 2.04e-04
+2022-09-18 23:51:57,403 INFO [train.py:885] (1/2) Epoch 23, batch 7350, loss[loss=0.1119, simple_loss=0.166, pruned_loss=0.02888, over 13032.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.1225, over 33.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3482, pruned_loss=0.1038, over 2781855.90 frames. utt_duration=251.9 frames, utt_pad_proportion=0.0697, over 44429.33 utterances.], batch size: 33, lr: 2.04e-04
+2022-09-18 23:52:27,155 INFO [train.py:885] (1/2) Epoch 23, batch 7400, loss[loss=0.1882, simple_loss=0.263, pruned_loss=0.05664, over 13940.00 frames. utt_duration=809.6 frames, utt_pad_proportion=0.05752, over 69.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3441, pruned_loss=0.1011, over 2782150.92 frames. utt_duration=261.6 frames, utt_pad_proportion=0.06923, over 42775.00 utterances.], batch size: 69, lr: 2.04e-04
+2022-09-18 23:52:57,174 INFO [train.py:885] (1/2) Epoch 23, batch 7450, loss[loss=0.1783, simple_loss=0.2277, pruned_loss=0.06446, over 13120.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.1058, over 33.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3487, pruned_loss=0.103, over 2774876.80 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07286, over 45282.70 utterances.], batch size: 33, lr: 2.04e-04
+2022-09-18 23:53:26,433 INFO [train.py:885] (1/2) Epoch 23, batch 7500, loss[loss=0.3635, simple_loss=0.4054, pruned_loss=0.1608, over 14319.00 frames. utt_duration=274 frames, utt_pad_proportion=0.03856, over 210.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3503, pruned_loss=0.1037, over 2780561.89 frames. utt_duration=246 frames, utt_pad_proportion=0.07255, over 45486.63 utterances.], batch size: 210, lr: 2.04e-04
+2022-09-18 23:53:55,887 INFO [train.py:885] (1/2) Epoch 23, batch 7550, loss[loss=0.4379, simple_loss=0.4996, pruned_loss=0.1881, over 13729.00 frames. utt_duration=116.6 frames, utt_pad_proportion=0.07449, over 477.00 utterances.], tot_loss[loss=0.2847, simple_loss=0.3555, pruned_loss=0.1069, over 2776570.52 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07474, over 47580.00 utterances.], batch size: 477, lr: 2.04e-04
+2022-09-18 23:54:25,857 INFO [train.py:885] (1/2) Epoch 23, batch 7600, loss[loss=0.1862, simple_loss=0.2605, pruned_loss=0.05595, over 13841.00 frames. utt_duration=803.8 frames, utt_pad_proportion=0.06205, over 69.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3509, pruned_loss=0.1045, over 2776753.57 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07323, over 45807.10 utterances.], batch size: 69, lr: 2.04e-04
+2022-09-18 23:54:54,812 INFO [train.py:885] (1/2) Epoch 23, batch 7650, loss[loss=0.3206, simple_loss=0.396, pruned_loss=0.1226, over 13990.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05653, over 365.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3492, pruned_loss=0.1033, over 2776736.94 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07232, over 45476.29 utterances.], batch size: 365, lr: 2.04e-04
+2022-09-18 23:55:24,443 INFO [train.py:885] (1/2) Epoch 23, batch 7700, loss[loss=0.2858, simple_loss=0.3398, pruned_loss=0.1159, over 14264.00 frames. utt_duration=520.3 frames, utt_pad_proportion=0.0454, over 110.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3489, pruned_loss=0.104, over 2777689.33 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07127, over 44943.85 utterances.], batch size: 110, lr: 2.04e-04
+2022-09-18 23:55:54,233 INFO [train.py:885] (1/2) Epoch 23, batch 7750, loss[loss=0.3734, simple_loss=0.4179, pruned_loss=0.1644, over 14265.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.0407, over 180.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3437, pruned_loss=0.1017, over 2778729.85 frames. utt_duration=266.8 frames, utt_pad_proportion=0.06961, over 41887.53 utterances.], batch size: 180, lr: 2.04e-04
+2022-09-18 23:56:24,137 INFO [train.py:885] (1/2) Epoch 23, batch 7800, loss[loss=0.3509, simple_loss=0.4134, pruned_loss=0.1442, over 14236.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04242, over 306.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3467, pruned_loss=0.1027, over 2782840.58 frames. utt_duration=257.6 frames, utt_pad_proportion=0.0675, over 43453.99 utterances.], batch size: 306, lr: 2.04e-04
+2022-09-18 23:56:53,500 INFO [train.py:885] (1/2) Epoch 23, batch 7850, loss[loss=0.2277, simple_loss=0.3103, pruned_loss=0.07257, over 14172.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04456, over 109.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3506, pruned_loss=0.104, over 2786699.11 frames. utt_duration=249 frames, utt_pad_proportion=0.06858, over 45036.02 utterances.], batch size: 109, lr: 2.04e-04
+2022-09-18 23:57:23,185 INFO [train.py:885] (1/2) Epoch 23, batch 7900, loss[loss=0.3137, simple_loss=0.3901, pruned_loss=0.1187, over 14252.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.0413, over 306.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3465, pruned_loss=0.102, over 2788700.98 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06569, over 43578.84 utterances.], batch size: 306, lr: 2.04e-04
+2022-09-18 23:57:52,594 INFO [train.py:885] (1/2) Epoch 23, batch 7950, loss[loss=0.1877, simple_loss=0.2245, pruned_loss=0.07547, over 13732.00 frames. utt_duration=1100 frames, utt_pad_proportion=0.07622, over 50.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3462, pruned_loss=0.1016, over 2789490.31 frames. utt_duration=254.7 frames, utt_pad_proportion=0.06562, over 44056.52 utterances.], batch size: 50, lr: 2.04e-04
+2022-09-18 23:58:21,885 INFO [train.py:885] (1/2) Epoch 23, batch 8000, loss[loss=0.2723, simple_loss=0.3344, pruned_loss=0.1051, over 14258.00 frames. utt_duration=476.8 frames, utt_pad_proportion=0.04446, over 120.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3461, pruned_loss=0.1012, over 2788267.18 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06634, over 44372.00 utterances.], batch size: 120, lr: 2.04e-04
+2022-09-18 23:58:51,387 INFO [train.py:885] (1/2) Epoch 23, batch 8050, loss[loss=0.243, simple_loss=0.319, pruned_loss=0.08354, over 14261.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04265, over 141.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3487, pruned_loss=0.1026, over 2789261.80 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06757, over 45147.53 utterances.], batch size: 141, lr: 2.04e-04
+2022-09-18 23:59:21,075 INFO [train.py:885] (1/2) Epoch 23, batch 8100, loss[loss=0.5149, simple_loss=0.5987, pruned_loss=0.2155, over 12556.00 frames. utt_duration=63.59 frames, utt_pad_proportion=0.1407, over 810.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3431, pruned_loss=0.1004, over 2788543.23 frames. utt_duration=264.4 frames, utt_pad_proportion=0.06646, over 42425.77 utterances.], batch size: 810, lr: 2.04e-04
+2022-09-18 23:59:50,397 INFO [train.py:885] (1/2) Epoch 23, batch 8150, loss[loss=0.233, simple_loss=0.3079, pruned_loss=0.07903, over 14319.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03842, over 120.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3458, pruned_loss=0.1009, over 2789830.36 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06733, over 44268.33 utterances.], batch size: 120, lr: 2.04e-04
+2022-09-19 00:00:20,624 INFO [train.py:885] (1/2) Epoch 23, batch 8200, loss[loss=0.2894, simple_loss=0.3608, pruned_loss=0.109, over 14381.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03708, over 167.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3494, pruned_loss=0.1024, over 2789890.14 frames. utt_duration=245 frames, utt_pad_proportion=0.06884, over 45817.72 utterances.], batch size: 167, lr: 2.04e-04
+2022-09-19 00:00:49,831 INFO [train.py:885] (1/2) Epoch 23, batch 8250, loss[loss=0.2652, simple_loss=0.3288, pruned_loss=0.1008, over 14308.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03762, over 130.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3463, pruned_loss=0.1011, over 2792275.17 frames. utt_duration=254 frames, utt_pad_proportion=0.06671, over 44232.27 utterances.], batch size: 130, lr: 2.03e-04
+2022-09-19 00:01:19,771 INFO [train.py:885] (1/2) Epoch 23, batch 8300, loss[loss=0.2606, simple_loss=0.3503, pruned_loss=0.08547, over 14362.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03507, over 210.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3419, pruned_loss=0.09899, over 2784700.28 frames. utt_duration=262.5 frames, utt_pad_proportion=0.06648, over 42676.94 utterances.], batch size: 210, lr: 2.03e-04
+2022-09-19 00:01:49,387 INFO [train.py:885] (1/2) Epoch 23, batch 8350, loss[loss=0.3012, simple_loss=0.358, pruned_loss=0.1222, over 14236.00 frames. utt_duration=524 frames, utt_pad_proportion=0.04028, over 109.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.343, pruned_loss=0.09891, over 2784913.78 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06865, over 43404.71 utterances.], batch size: 109, lr: 2.03e-04
+2022-09-19 00:02:18,584 INFO [train.py:885] (1/2) Epoch 23, batch 8400, loss[loss=0.1911, simple_loss=0.2382, pruned_loss=0.072, over 13667.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.07921, over 50.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3408, pruned_loss=0.09833, over 2781178.98 frames. utt_duration=260.6 frames, utt_pad_proportion=0.06925, over 42923.79 utterances.], batch size: 50, lr: 2.03e-04
+2022-09-19 00:02:47,666 INFO [train.py:885] (1/2) Epoch 23, batch 8450, loss[loss=0.3365, simple_loss=0.4026, pruned_loss=0.1351, over 14346.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03827, over 244.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3446, pruned_loss=0.1006, over 2776824.19 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07203, over 44575.68 utterances.], batch size: 244, lr: 2.03e-04
+2022-09-19 00:03:17,574 INFO [train.py:885] (1/2) Epoch 23, batch 8500, loss[loss=0.2074, simple_loss=0.2863, pruned_loss=0.06424, over 14128.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.04956, over 98.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3441, pruned_loss=0.1001, over 2778830.02 frames. utt_duration=253 frames, utt_pad_proportion=0.07243, over 44191.36 utterances.], batch size: 98, lr: 2.03e-04
+2022-09-19 00:03:46,751 INFO [train.py:885] (1/2) Epoch 23, batch 8550, loss[loss=0.3047, simple_loss=0.3742, pruned_loss=0.1176, over 14320.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03774, over 226.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3483, pruned_loss=0.102, over 2780199.16 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07264, over 45649.71 utterances.], batch size: 226, lr: 2.03e-04
+2022-09-19 00:04:16,552 INFO [train.py:885] (1/2) Epoch 23, batch 8600, loss[loss=0.1697, simple_loss=0.2428, pruned_loss=0.04829, over 13810.00 frames. utt_duration=802.4 frames, utt_pad_proportion=0.0648, over 69.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3508, pruned_loss=0.1033, over 2777018.85 frames. utt_duration=241 frames, utt_pad_proportion=0.07461, over 46372.31 utterances.], batch size: 69, lr: 2.03e-04
+2022-09-19 00:04:45,899 INFO [train.py:885] (1/2) Epoch 23, batch 8650, loss[loss=0.3474, simple_loss=0.4583, pruned_loss=0.1182, over 13098.00 frames. utt_duration=81.82 frames, utt_pad_proportion=0.1107, over 653.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3477, pruned_loss=0.102, over 2772761.54 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07349, over 45940.83 utterances.], batch size: 653, lr: 2.03e-04
+2022-09-19 00:05:15,559 INFO [train.py:885] (1/2) Epoch 23, batch 8700, loss[loss=0.2017, simple_loss=0.2614, pruned_loss=0.07096, over 13446.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.09332, over 50.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3487, pruned_loss=0.1021, over 2773061.85 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07489, over 46371.03 utterances.], batch size: 50, lr: 2.03e-04
+2022-09-19 00:05:45,301 INFO [train.py:885] (1/2) Epoch 23, batch 8750, loss[loss=0.3613, simple_loss=0.4327, pruned_loss=0.1449, over 13979.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05752, over 365.00 utterances.], tot_loss[loss=0.278, simple_loss=0.3499, pruned_loss=0.1031, over 2770489.01 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07537, over 46366.02 utterances.], batch size: 365, lr: 2.03e-04
+2022-09-19 00:06:14,395 INFO [train.py:885] (1/2) Epoch 23, batch 8800, loss[loss=0.2206, simple_loss=0.2913, pruned_loss=0.07491, over 14152.00 frames. utt_duration=637.4 frames, utt_pad_proportion=0.05, over 89.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3511, pruned_loss=0.1038, over 2773692.84 frames. utt_duration=238 frames, utt_pad_proportion=0.07459, over 46912.44 utterances.], batch size: 89, lr: 2.03e-04
+2022-09-19 00:06:44,475 INFO [train.py:885] (1/2) Epoch 23, batch 8850, loss[loss=0.2261, simple_loss=0.3108, pruned_loss=0.07069, over 14373.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.03774, over 155.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3505, pruned_loss=0.1033, over 2775904.90 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07294, over 46196.86 utterances.], batch size: 155, lr: 2.03e-04
+2022-09-19 00:07:13,526 INFO [train.py:885] (1/2) Epoch 23, batch 8900, loss[loss=0.3014, simple_loss=0.4022, pruned_loss=0.1003, over 13650.00 frames. utt_duration=116 frames, utt_pad_proportion=0.0797, over 477.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3496, pruned_loss=0.1026, over 2779372.93 frames. utt_duration=244.7 frames, utt_pad_proportion=0.0704, over 45710.21 utterances.], batch size: 477, lr: 2.03e-04
+2022-09-19 00:07:43,014 INFO [train.py:885] (1/2) Epoch 23, batch 8950, loss[loss=0.32, simple_loss=0.3982, pruned_loss=0.1208, over 13979.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05708, over 365.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3522, pruned_loss=0.1036, over 2778064.54 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07343, over 46959.67 utterances.], batch size: 365, lr: 2.03e-04
+2022-09-19 00:08:13,278 INFO [train.py:885] (1/2) Epoch 23, batch 9000, loss[loss=0.3608, simple_loss=0.4162, pruned_loss=0.1527, over 14234.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04229, over 335.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3494, pruned_loss=0.1026, over 2778368.70 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07207, over 45921.14 utterances.], batch size: 335, lr: 2.03e-04
+2022-09-19 00:08:13,278 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 00:08:17,984 INFO [train.py:914] (1/2) Epoch 23, validation: loss=0.1906, simple_loss=0.2725, pruned_loss=0.05437, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 00:08:47,433 INFO [train.py:885] (1/2) Epoch 23, batch 9050, loss[loss=0.2739, simple_loss=0.3544, pruned_loss=0.09668, over 14260.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.0414, over 180.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3446, pruned_loss=0.09981, over 2780207.65 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06919, over 44140.02 utterances.], batch size: 180, lr: 2.03e-04
+2022-09-19 00:09:16,621 INFO [train.py:885] (1/2) Epoch 23, batch 9100, loss[loss=0.2427, simple_loss=0.3085, pruned_loss=0.08844, over 14092.00 frames. utt_duration=576.7 frames, utt_pad_proportion=0.05303, over 98.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3451, pruned_loss=0.1007, over 2780764.12 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06901, over 43611.21 utterances.], batch size: 98, lr: 2.03e-04
+2022-09-19 00:09:46,276 INFO [train.py:885] (1/2) Epoch 23, batch 9150, loss[loss=0.2782, simple_loss=0.3716, pruned_loss=0.09236, over 13981.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05735, over 365.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3474, pruned_loss=0.1018, over 2783195.18 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06942, over 44541.16 utterances.], batch size: 365, lr: 2.03e-04
+2022-09-19 00:10:15,732 INFO [train.py:885] (1/2) Epoch 23, batch 9200, loss[loss=0.2434, simple_loss=0.3201, pruned_loss=0.0833, over 14312.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03922, over 120.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3472, pruned_loss=0.1017, over 2779486.25 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07149, over 45118.06 utterances.], batch size: 120, lr: 2.03e-04
+2022-09-19 00:10:45,407 INFO [train.py:885] (1/2) Epoch 23, batch 9250, loss[loss=0.3042, simple_loss=0.4075, pruned_loss=0.1005, over 13653.00 frames. utt_duration=98.8 frames, utt_pad_proportion=0.07662, over 560.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.343, pruned_loss=0.09902, over 2782429.16 frames. utt_duration=256.8 frames, utt_pad_proportion=0.06815, over 43584.37 utterances.], batch size: 560, lr: 2.03e-04
+2022-09-19 00:11:14,723 INFO [train.py:885] (1/2) Epoch 23, batch 9300, loss[loss=0.2921, simple_loss=0.359, pruned_loss=0.1126, over 14311.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03869, over 195.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3469, pruned_loss=0.1011, over 2781885.34 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07019, over 45100.59 utterances.], batch size: 195, lr: 2.03e-04
+2022-09-19 00:11:44,702 INFO [train.py:885] (1/2) Epoch 23, batch 9350, loss[loss=0.2453, simple_loss=0.3185, pruned_loss=0.08602, over 14288.00 frames. utt_duration=441 frames, utt_pad_proportion=0.03922, over 130.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3484, pruned_loss=0.1006, over 2781667.96 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07151, over 46888.53 utterances.], batch size: 130, lr: 2.03e-04
+2022-09-19 00:12:14,001 INFO [train.py:885] (1/2) Epoch 23, batch 9400, loss[loss=0.2859, simple_loss=0.3412, pruned_loss=0.1154, over 14111.00 frames. utt_duration=577.3 frames, utt_pad_proportion=0.05355, over 98.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3492, pruned_loss=0.1014, over 2777483.64 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07492, over 47423.95 utterances.], batch size: 98, lr: 2.03e-04
+2022-09-19 00:12:43,277 INFO [train.py:885] (1/2) Epoch 23, batch 9450, loss[loss=0.195, simple_loss=0.2597, pruned_loss=0.0651, over 13620.00 frames. utt_duration=1298 frames, utt_pad_proportion=0.08368, over 42.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3474, pruned_loss=0.1006, over 2781131.21 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07321, over 46183.68 utterances.], batch size: 42, lr: 2.03e-04
+2022-09-19 00:13:12,968 INFO [train.py:885] (1/2) Epoch 23, batch 9500, loss[loss=0.4893, simple_loss=0.5895, pruned_loss=0.1945, over 12520.00 frames. utt_duration=63.36 frames, utt_pad_proportion=0.1437, over 810.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3455, pruned_loss=0.1003, over 2780164.18 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07182, over 44959.20 utterances.], batch size: 810, lr: 2.03e-04
+2022-09-19 00:13:42,728 INFO [train.py:885] (1/2) Epoch 23, batch 9550, loss[loss=0.2319, simple_loss=0.3158, pruned_loss=0.074, over 14312.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03914, over 120.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3451, pruned_loss=0.1004, over 2780415.65 frames. utt_duration=253.4 frames, utt_pad_proportion=0.06988, over 44150.19 utterances.], batch size: 120, lr: 2.03e-04
+2022-09-19 00:14:13,044 INFO [train.py:885] (1/2) Epoch 23, batch 9600, loss[loss=0.3131, simple_loss=0.3991, pruned_loss=0.1135, over 13990.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05682, over 365.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3434, pruned_loss=0.09995, over 2780562.69 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06822, over 43667.96 utterances.], batch size: 365, lr: 2.03e-04
+2022-09-19 00:14:42,544 INFO [train.py:885] (1/2) Epoch 23, batch 9650, loss[loss=0.2533, simple_loss=0.3394, pruned_loss=0.08363, over 14307.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03844, over 180.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3477, pruned_loss=0.1016, over 2782603.93 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06885, over 45261.64 utterances.], batch size: 180, lr: 2.03e-04
+2022-09-19 00:15:12,261 INFO [train.py:885] (1/2) Epoch 23, batch 9700, loss[loss=0.2314, simple_loss=0.3087, pruned_loss=0.077, over 14295.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04215, over 120.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3491, pruned_loss=0.1026, over 2781772.62 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07023, over 45570.73 utterances.], batch size: 120, lr: 2.03e-04
+2022-09-19 00:15:42,059 INFO [train.py:885] (1/2) Epoch 23, batch 9750, loss[loss=0.1564, simple_loss=0.2224, pruned_loss=0.04517, over 13353.00 frames. utt_duration=1620 frames, utt_pad_proportion=0.1034, over 33.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3495, pruned_loss=0.1027, over 2779805.57 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07272, over 46304.53 utterances.], batch size: 33, lr: 2.03e-04
+2022-09-19 00:16:10,733 INFO [train.py:885] (1/2) Epoch 23, batch 9800, loss[loss=0.2892, simple_loss=0.3601, pruned_loss=0.1091, over 14223.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04322, over 306.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.352, pruned_loss=0.1047, over 2784980.49 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07009, over 45794.11 utterances.], batch size: 306, lr: 2.03e-04
+2022-09-19 00:16:40,482 INFO [train.py:885] (1/2) Epoch 23, batch 9850, loss[loss=0.2845, simple_loss=0.3609, pruned_loss=0.104, over 14343.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03694, over 283.00 utterances.], tot_loss[loss=0.281, simple_loss=0.353, pruned_loss=0.1045, over 2784254.90 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07109, over 46711.78 utterances.], batch size: 283, lr: 2.03e-04
+2022-09-19 00:17:10,047 INFO [train.py:885] (1/2) Epoch 23, batch 9900, loss[loss=0.1995, simple_loss=0.2822, pruned_loss=0.05841, over 13991.00 frames. utt_duration=709.7 frames, utt_pad_proportion=0.06121, over 79.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3531, pruned_loss=0.1046, over 2785591.43 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07028, over 46677.70 utterances.], batch size: 79, lr: 2.03e-04
+2022-09-19 00:17:39,945 INFO [train.py:885] (1/2) Epoch 23, batch 9950, loss[loss=0.4759, simple_loss=0.5718, pruned_loss=0.19, over 12528.00 frames. utt_duration=63.44 frames, utt_pad_proportion=0.1427, over 810.00 utterances.], tot_loss[loss=0.2839, simple_loss=0.356, pruned_loss=0.1059, over 2780973.68 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07306, over 48331.67 utterances.], batch size: 810, lr: 2.03e-04
+2022-09-19 00:18:09,298 INFO [train.py:885] (1/2) Epoch 23, batch 10000, loss[loss=0.2977, simple_loss=0.3667, pruned_loss=0.1144, over 14348.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03664, over 210.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3523, pruned_loss=0.1043, over 2783779.84 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07168, over 46413.21 utterances.], batch size: 210, lr: 2.03e-04
+2022-09-19 00:18:38,516 INFO [train.py:885] (1/2) Epoch 23, batch 10050, loss[loss=0.2721, simple_loss=0.3478, pruned_loss=0.09823, over 14303.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.04197, over 167.00 utterances.], tot_loss[loss=0.2823, simple_loss=0.3541, pruned_loss=0.1052, over 2784324.59 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07117, over 46400.20 utterances.], batch size: 167, lr: 2.03e-04
+2022-09-19 00:19:08,287 INFO [train.py:885] (1/2) Epoch 23, batch 10100, loss[loss=0.3715, simple_loss=0.4697, pruned_loss=0.1366, over 13106.00 frames. utt_duration=81.75 frames, utt_pad_proportion=0.1114, over 653.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3538, pruned_loss=0.1043, over 2787582.95 frames. utt_duration=241 frames, utt_pad_proportion=0.06967, over 46558.95 utterances.], batch size: 653, lr: 2.03e-04
+2022-09-19 00:19:37,622 INFO [train.py:885] (1/2) Epoch 23, batch 10150, loss[loss=0.1795, simple_loss=0.2615, pruned_loss=0.04879, over 13059.00 frames. utt_duration=2010 frames, utt_pad_proportion=0.1112, over 26.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3513, pruned_loss=0.1028, over 2781026.38 frames. utt_duration=242.6 frames, utt_pad_proportion=0.06962, over 46134.66 utterances.], batch size: 26, lr: 2.03e-04
+2022-09-19 00:20:06,950 INFO [train.py:885] (1/2) Epoch 23, batch 10200, loss[loss=0.3526, simple_loss=0.411, pruned_loss=0.1471, over 14208.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.0444, over 306.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3523, pruned_loss=0.1035, over 2779340.08 frames. utt_duration=239.2 frames, utt_pad_proportion=0.06958, over 46767.02 utterances.], batch size: 306, lr: 2.03e-04
+2022-09-19 00:20:36,422 INFO [train.py:885] (1/2) Epoch 23, batch 10250, loss[loss=0.3103, simple_loss=0.3819, pruned_loss=0.1194, over 14322.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03885, over 262.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3497, pruned_loss=0.1024, over 2778793.44 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07121, over 45926.90 utterances.], batch size: 262, lr: 2.03e-04
+2022-09-19 00:21:06,855 INFO [train.py:885] (1/2) Epoch 23, batch 10300, loss[loss=0.195, simple_loss=0.2705, pruned_loss=0.05974, over 14030.00 frames. utt_duration=711.8 frames, utt_pad_proportion=0.05847, over 79.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3461, pruned_loss=0.1008, over 2777641.74 frames. utt_duration=253.3 frames, utt_pad_proportion=0.0709, over 44120.15 utterances.], batch size: 79, lr: 2.03e-04
+2022-09-19 00:21:36,234 INFO [train.py:885] (1/2) Epoch 23, batch 10350, loss[loss=0.2371, simple_loss=0.3137, pruned_loss=0.08022, over 14234.00 frames. utt_duration=405 frames, utt_pad_proportion=0.04713, over 141.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3454, pruned_loss=0.1007, over 2777749.85 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06978, over 43982.38 utterances.], batch size: 141, lr: 2.03e-04
+2022-09-19 00:22:06,270 INFO [train.py:885] (1/2) Epoch 23, batch 10400, loss[loss=0.2375, simple_loss=0.3163, pruned_loss=0.07937, over 14300.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04208, over 120.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3435, pruned_loss=0.09986, over 2777897.41 frames. utt_duration=256.7 frames, utt_pad_proportion=0.07101, over 43527.41 utterances.], batch size: 120, lr: 2.03e-04
+2022-09-19 00:22:35,650 INFO [train.py:885] (1/2) Epoch 23, batch 10450, loss[loss=0.2281, simple_loss=0.2998, pruned_loss=0.07822, over 14173.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.04466, over 109.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3459, pruned_loss=0.1015, over 2778869.39 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07071, over 44163.88 utterances.], batch size: 109, lr: 2.03e-04
+2022-09-19 00:23:12,661 INFO [train.py:885] (1/2) Epoch 23, batch 10500, loss[loss=0.1776, simple_loss=0.229, pruned_loss=0.0631, over 13511.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08967, over 50.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3463, pruned_loss=0.1019, over 2775079.19 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07448, over 44407.97 utterances.], batch size: 50, lr: 2.03e-04
+2022-09-19 00:23:41,729 INFO [train.py:885] (1/2) Epoch 23, batch 10550, loss[loss=0.292, simple_loss=0.3791, pruned_loss=0.1025, over 13983.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05677, over 365.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3462, pruned_loss=0.1022, over 2778179.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.07202, over 43801.71 utterances.], batch size: 365, lr: 2.03e-04
+2022-09-19 00:24:11,728 INFO [train.py:885] (1/2) Epoch 23, batch 10600, loss[loss=0.3694, simple_loss=0.4181, pruned_loss=0.1603, over 14208.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04474, over 335.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3491, pruned_loss=0.1038, over 2778571.34 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07248, over 44762.69 utterances.], batch size: 335, lr: 2.03e-04
+2022-09-19 00:24:41,097 INFO [train.py:885] (1/2) Epoch 23, batch 10650, loss[loss=0.279, simple_loss=0.3318, pruned_loss=0.113, over 14005.00 frames. utt_duration=573 frames, utt_pad_proportion=0.05915, over 98.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3475, pruned_loss=0.102, over 2774265.41 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07391, over 44924.50 utterances.], batch size: 98, lr: 2.03e-04
+2022-09-19 00:25:10,686 INFO [train.py:885] (1/2) Epoch 23, batch 10700, loss[loss=0.188, simple_loss=0.2478, pruned_loss=0.06413, over 13652.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.08178, over 50.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3461, pruned_loss=0.1009, over 2776562.35 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07096, over 44208.95 utterances.], batch size: 50, lr: 2.03e-04
+2022-09-19 00:25:40,188 INFO [train.py:885] (1/2) Epoch 23, batch 10750, loss[loss=0.2245, simple_loss=0.307, pruned_loss=0.07102, over 14310.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.03771, over 154.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.345, pruned_loss=0.1003, over 2777494.47 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06986, over 44205.76 utterances.], batch size: 154, lr: 2.03e-04
+2022-09-19 00:26:10,371 INFO [train.py:885] (1/2) Epoch 23, batch 10800, loss[loss=0.1903, simple_loss=0.2529, pruned_loss=0.06381, over 13459.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.08458, over 50.00 utterances.], tot_loss[loss=0.274, simple_loss=0.346, pruned_loss=0.101, over 2778183.26 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06974, over 44310.04 utterances.], batch size: 50, lr: 2.03e-04
+2022-09-19 00:26:45,665 INFO [train.py:885] (1/2) Epoch 23, batch 10850, loss[loss=0.2975, simple_loss=0.3709, pruned_loss=0.1121, over 14248.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04192, over 225.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3428, pruned_loss=0.09942, over 2782661.92 frames. utt_duration=263.2 frames, utt_pad_proportion=0.06853, over 42530.33 utterances.], batch size: 225, lr: 2.03e-04
+2022-09-19 00:27:15,395 INFO [train.py:885] (1/2) Epoch 23, batch 10900, loss[loss=0.2226, simple_loss=0.2897, pruned_loss=0.07778, over 14082.00 frames. utt_duration=576.4 frames, utt_pad_proportion=0.05199, over 98.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3424, pruned_loss=0.0994, over 2779948.44 frames. utt_duration=263.2 frames, utt_pad_proportion=0.06956, over 42488.18 utterances.], batch size: 98, lr: 2.03e-04
+2022-09-19 00:27:45,388 INFO [train.py:885] (1/2) Epoch 23, batch 10950, loss[loss=0.2904, simple_loss=0.3504, pruned_loss=0.1152, over 14269.00 frames. utt_duration=477.1 frames, utt_pad_proportion=0.04202, over 120.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3438, pruned_loss=0.09988, over 2773783.01 frames. utt_duration=256.8 frames, utt_pad_proportion=0.07327, over 43447.73 utterances.], batch size: 120, lr: 2.03e-04
+2022-09-19 00:28:15,254 INFO [train.py:885] (1/2) Epoch 23, batch 11000, loss[loss=0.1997, simple_loss=0.2746, pruned_loss=0.06237, over 13997.00 frames. utt_duration=710.1 frames, utt_pad_proportion=0.0607, over 79.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3454, pruned_loss=0.1006, over 2777774.55 frames. utt_duration=255.9 frames, utt_pad_proportion=0.07218, over 43678.94 utterances.], batch size: 79, lr: 2.03e-04
+2022-09-19 00:28:44,382 INFO [train.py:885] (1/2) Epoch 23, batch 11050, loss[loss=0.3347, simple_loss=0.3851, pruned_loss=0.1422, over 14213.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.04545, over 141.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3451, pruned_loss=0.1004, over 2783401.24 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06967, over 43592.62 utterances.], batch size: 141, lr: 2.03e-04
+2022-09-19 00:29:13,697 INFO [train.py:885] (1/2) Epoch 23, batch 11100, loss[loss=0.3023, simple_loss=0.3774, pruned_loss=0.1136, over 14320.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03836, over 210.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3457, pruned_loss=0.1005, over 2782948.76 frames. utt_duration=256.2 frames, utt_pad_proportion=0.07104, over 43700.84 utterances.], batch size: 210, lr: 2.02e-04
+2022-09-19 00:29:43,517 INFO [train.py:885] (1/2) Epoch 23, batch 11150, loss[loss=0.3106, simple_loss=0.3805, pruned_loss=0.1204, over 14398.00 frames. utt_duration=237.6 frames, utt_pad_proportion=0.03014, over 244.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3452, pruned_loss=0.1001, over 2785509.07 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06909, over 43620.67 utterances.], batch size: 244, lr: 2.02e-04
+2022-09-19 00:30:12,668 INFO [train.py:885] (1/2) Epoch 23, batch 11200, loss[loss=0.3012, simple_loss=0.3683, pruned_loss=0.1171, over 14246.00 frames. utt_duration=318 frames, utt_pad_proportion=0.0422, over 180.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3471, pruned_loss=0.1009, over 2782193.85 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07179, over 44721.94 utterances.], batch size: 180, lr: 2.02e-04
+2022-09-19 00:30:42,168 INFO [train.py:885] (1/2) Epoch 23, batch 11250, loss[loss=0.306, simple_loss=0.3697, pruned_loss=0.1211, over 14346.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03591, over 195.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3476, pruned_loss=0.1012, over 2780292.43 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07334, over 45753.26 utterances.], batch size: 195, lr: 2.02e-04
+2022-09-19 00:31:11,864 INFO [train.py:885] (1/2) Epoch 23, batch 11300, loss[loss=0.3464, simple_loss=0.4114, pruned_loss=0.1408, over 14252.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04209, over 335.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3504, pruned_loss=0.1027, over 2780291.40 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07378, over 47070.69 utterances.], batch size: 335, lr: 2.02e-04
+2022-09-19 00:31:41,795 INFO [train.py:885] (1/2) Epoch 23, batch 11350, loss[loss=0.3981, simple_loss=0.4394, pruned_loss=0.1784, over 14206.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04504, over 335.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3497, pruned_loss=0.1023, over 2778147.96 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07407, over 46920.73 utterances.], batch size: 335, lr: 2.02e-04
+2022-09-19 00:32:11,077 INFO [train.py:885] (1/2) Epoch 23, batch 11400, loss[loss=0.1759, simple_loss=0.2346, pruned_loss=0.05864, over 13529.00 frames. utt_duration=1290 frames, utt_pad_proportion=0.09348, over 42.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3527, pruned_loss=0.1036, over 2779961.66 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07455, over 47734.23 utterances.], batch size: 42, lr: 2.02e-04
+2022-09-19 00:32:40,995 INFO [train.py:885] (1/2) Epoch 23, batch 11450, loss[loss=0.2471, simple_loss=0.3279, pruned_loss=0.08312, over 14315.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.03801, over 154.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3506, pruned_loss=0.1028, over 2783237.66 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07181, over 46694.38 utterances.], batch size: 154, lr: 2.02e-04
+2022-09-19 00:33:09,890 INFO [train.py:885] (1/2) Epoch 23, batch 11500, loss[loss=0.216, simple_loss=0.2782, pruned_loss=0.07688, over 13845.00 frames. utt_duration=804.3 frames, utt_pad_proportion=0.06372, over 69.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3509, pruned_loss=0.1035, over 2781956.66 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07182, over 46566.76 utterances.], batch size: 69, lr: 2.02e-04
+2022-09-19 00:33:39,787 INFO [train.py:885] (1/2) Epoch 23, batch 11550, loss[loss=0.2202, simple_loss=0.2817, pruned_loss=0.07938, over 12429.00 frames. utt_duration=2073 frames, utt_pad_proportion=0.1465, over 24.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3518, pruned_loss=0.1031, over 2777138.60 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07302, over 47274.86 utterances.], batch size: 24, lr: 2.02e-04
+2022-09-19 00:34:09,626 INFO [train.py:885] (1/2) Epoch 23, batch 11600, loss[loss=0.2404, simple_loss=0.3143, pruned_loss=0.08328, over 14339.00 frames. utt_duration=479.4 frames, utt_pad_proportion=0.03725, over 120.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3505, pruned_loss=0.102, over 2780916.02 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07265, over 47143.89 utterances.], batch size: 120, lr: 2.02e-04
+2022-09-19 00:34:39,554 INFO [train.py:885] (1/2) Epoch 23, batch 11650, loss[loss=0.3317, simple_loss=0.3936, pruned_loss=0.1349, over 14216.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04397, over 306.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3528, pruned_loss=0.1034, over 2778459.98 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07414, over 47849.27 utterances.], batch size: 306, lr: 2.02e-04
+2022-09-19 00:35:08,986 INFO [train.py:885] (1/2) Epoch 23, batch 11700, loss[loss=0.3465, simple_loss=0.4194, pruned_loss=0.1368, over 14024.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05119, over 366.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3512, pruned_loss=0.103, over 2780406.37 frames. utt_duration=239 frames, utt_pad_proportion=0.07216, over 46818.68 utterances.], batch size: 366, lr: 2.02e-04
+2022-09-19 00:35:38,710 INFO [train.py:885] (1/2) Epoch 23, batch 11750, loss[loss=0.3409, simple_loss=0.3928, pruned_loss=0.1445, over 14263.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.0433, over 154.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.352, pruned_loss=0.1031, over 2784084.09 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07206, over 47043.12 utterances.], batch size: 154, lr: 2.02e-04
+2022-09-19 00:36:07,532 INFO [train.py:885] (1/2) Epoch 23, batch 11800, loss[loss=0.2639, simple_loss=0.3402, pruned_loss=0.09386, over 14333.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.0376, over 195.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3501, pruned_loss=0.1024, over 2784450.22 frames. utt_duration=240.9 frames, utt_pad_proportion=0.0724, over 46526.76 utterances.], batch size: 195, lr: 2.02e-04
+2022-09-19 00:36:37,194 INFO [train.py:885] (1/2) Epoch 23, batch 11850, loss[loss=0.4034, simple_loss=0.4886, pruned_loss=0.1591, over 13151.00 frames. utt_duration=82.09 frames, utt_pad_proportion=0.1077, over 653.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.349, pruned_loss=0.102, over 2779231.73 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0745, over 46732.62 utterances.], batch size: 653, lr: 2.02e-04
+2022-09-19 00:37:06,258 INFO [train.py:885] (1/2) Epoch 23, batch 11900, loss[loss=0.3036, simple_loss=0.3826, pruned_loss=0.1123, over 14377.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03627, over 244.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.349, pruned_loss=0.1021, over 2784337.14 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07167, over 46459.04 utterances.], batch size: 244, lr: 2.02e-04
+2022-09-19 00:37:35,430 INFO [train.py:885] (1/2) Epoch 23, batch 11950, loss[loss=0.311, simple_loss=0.395, pruned_loss=0.1136, over 13823.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06864, over 411.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3461, pruned_loss=0.1007, over 2785344.85 frames. utt_duration=247 frames, utt_pad_proportion=0.0717, over 45381.94 utterances.], batch size: 411, lr: 2.02e-04
+2022-09-19 00:38:05,626 INFO [train.py:885] (1/2) Epoch 23, batch 12000, loss[loss=0.1927, simple_loss=0.26, pruned_loss=0.06266, over 14080.00 frames. utt_duration=940 frames, utt_pad_proportion=0.05526, over 60.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3489, pruned_loss=0.1022, over 2787317.05 frames. utt_duration=242.9 frames, utt_pad_proportion=0.0711, over 46174.57 utterances.], batch size: 60, lr: 2.02e-04
+2022-09-19 00:38:05,627 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 00:38:10,305 INFO [train.py:914] (1/2) Epoch 23, validation: loss=0.1895, simple_loss=0.271, pruned_loss=0.05406, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 00:38:39,938 INFO [train.py:885] (1/2) Epoch 23, batch 12050, loss[loss=0.4183, simple_loss=0.4513, pruned_loss=0.1927, over 14245.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04226, over 335.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3474, pruned_loss=0.1015, over 2786755.89 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06974, over 45309.23 utterances.], batch size: 335, lr: 2.02e-04
+2022-09-19 00:39:09,230 INFO [train.py:885] (1/2) Epoch 23, batch 12100, loss[loss=0.2824, simple_loss=0.3562, pruned_loss=0.1043, over 14317.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03834, over 195.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3448, pruned_loss=0.09988, over 2785142.87 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06853, over 44742.97 utterances.], batch size: 195, lr: 2.02e-04
+2022-09-19 00:39:39,467 INFO [train.py:885] (1/2) Epoch 23, batch 12150, loss[loss=0.3051, simple_loss=0.3741, pruned_loss=0.1181, over 14268.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.04115, over 180.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3453, pruned_loss=0.1002, over 2783456.41 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06816, over 44755.65 utterances.], batch size: 180, lr: 2.02e-04
+2022-09-19 00:40:09,308 INFO [train.py:885] (1/2) Epoch 23, batch 12200, loss[loss=0.2831, simple_loss=0.3581, pruned_loss=0.1041, over 14290.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03912, over 180.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3451, pruned_loss=0.1002, over 2782500.70 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06933, over 44826.53 utterances.], batch size: 180, lr: 2.02e-04
+2022-09-19 00:40:38,428 INFO [train.py:885] (1/2) Epoch 23, batch 12250, loss[loss=0.2268, simple_loss=0.3056, pruned_loss=0.07402, over 14326.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.03667, over 120.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3455, pruned_loss=0.1005, over 2778006.87 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07141, over 45642.15 utterances.], batch size: 120, lr: 2.02e-04
+2022-09-19 00:41:07,628 INFO [train.py:885] (1/2) Epoch 23, batch 12300, loss[loss=0.3519, simple_loss=0.4299, pruned_loss=0.137, over 14007.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05545, over 365.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.345, pruned_loss=0.1, over 2780497.78 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07047, over 45229.55 utterances.], batch size: 365, lr: 2.02e-04
+2022-09-19 00:41:37,368 INFO [train.py:885] (1/2) Epoch 23, batch 12350, loss[loss=0.3329, simple_loss=0.3945, pruned_loss=0.1356, over 14341.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03414, over 244.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3492, pruned_loss=0.1029, over 2782587.95 frames. utt_duration=239.1 frames, utt_pad_proportion=0.06901, over 46846.95 utterances.], batch size: 244, lr: 2.02e-04
+2022-09-19 00:42:06,792 INFO [train.py:885] (1/2) Epoch 23, batch 12400, loss[loss=0.185, simple_loss=0.2581, pruned_loss=0.05598, over 13853.00 frames. utt_duration=804.6 frames, utt_pad_proportion=0.06334, over 69.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.347, pruned_loss=0.1014, over 2784923.98 frames. utt_duration=244 frames, utt_pad_proportion=0.06787, over 45933.50 utterances.], batch size: 69, lr: 2.02e-04
+2022-09-19 00:42:35,731 INFO [train.py:885] (1/2) Epoch 23, batch 12450, loss[loss=0.263, simple_loss=0.3443, pruned_loss=0.09085, over 14278.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.03999, over 180.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3472, pruned_loss=0.1017, over 2787129.23 frames. utt_duration=246.5 frames, utt_pad_proportion=0.06789, over 45490.35 utterances.], batch size: 180, lr: 2.02e-04
+2022-09-19 00:43:05,781 INFO [train.py:885] (1/2) Epoch 23, batch 12500, loss[loss=0.2968, simple_loss=0.4025, pruned_loss=0.09556, over 13789.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07198, over 412.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3503, pruned_loss=0.1028, over 2780271.10 frames. utt_duration=238.6 frames, utt_pad_proportion=0.0708, over 46897.46 utterances.], batch size: 412, lr: 2.02e-04
+2022-09-19 00:43:34,882 INFO [train.py:885] (1/2) Epoch 23, batch 12550, loss[loss=0.3028, simple_loss=0.3659, pruned_loss=0.1198, over 14317.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04005, over 154.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3502, pruned_loss=0.1027, over 2778844.78 frames. utt_duration=240.2 frames, utt_pad_proportion=0.0721, over 46564.20 utterances.], batch size: 154, lr: 2.02e-04
+2022-09-19 00:44:02,475 INFO [train.py:885] (1/2) Epoch 23, batch 12600, loss[loss=0.3217, simple_loss=0.3897, pruned_loss=0.1269, over 14306.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03985, over 262.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3477, pruned_loss=0.1011, over 2780801.18 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07055, over 45737.05 utterances.], batch size: 262, lr: 2.02e-04
+2022-09-19 00:44:20,418 INFO [train.py:885] (1/2) Epoch 24, batch 0, loss[loss=0.2019, simple_loss=0.2727, pruned_loss=0.06553, over 13856.00 frames. utt_duration=804.6 frames, utt_pad_proportion=0.06226, over 69.00 utterances.], tot_loss[loss=0.2019, simple_loss=0.2727, pruned_loss=0.06553, over 13856.00 frames. utt_duration=804.6 frames, utt_pad_proportion=0.06226, over 69.00 utterances.], batch size: 69, lr: 1.98e-04
+2022-09-19 00:44:52,887 INFO [train.py:885] (1/2) Epoch 24, batch 50, loss[loss=0.5239, simple_loss=0.6012, pruned_loss=0.2233, over 12443.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 810.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3516, pruned_loss=0.1012, over 627139.70 frames. utt_duration=229 frames, utt_pad_proportion=0.07606, over 11026.09 utterances.], batch size: 810, lr: 1.98e-04
+2022-09-19 00:45:22,331 INFO [train.py:885] (1/2) Epoch 24, batch 100, loss[loss=0.2051, simple_loss=0.2773, pruned_loss=0.06648, over 14221.00 frames. utt_duration=640.9 frames, utt_pad_proportion=0.04483, over 89.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3413, pruned_loss=0.09842, over 1102768.62 frames. utt_duration=258.2 frames, utt_pad_proportion=0.07154, over 17182.12 utterances.], batch size: 89, lr: 1.98e-04
+2022-09-19 00:45:51,645 INFO [train.py:885] (1/2) Epoch 24, batch 150, loss[loss=0.2288, simple_loss=0.3104, pruned_loss=0.07358, over 14291.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.04264, over 141.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3416, pruned_loss=0.09896, over 1476217.21 frames. utt_duration=256.8 frames, utt_pad_proportion=0.06862, over 23125.21 utterances.], batch size: 141, lr: 1.98e-04
+2022-09-19 00:46:21,865 INFO [train.py:885] (1/2) Epoch 24, batch 200, loss[loss=0.6025, simple_loss=0.6497, pruned_loss=0.2776, over 12450.00 frames. utt_duration=63.09 frames, utt_pad_proportion=0.1474, over 810.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3426, pruned_loss=0.09947, over 1763154.35 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07069, over 28133.14 utterances.], batch size: 810, lr: 1.98e-04
+2022-09-19 00:46:51,061 INFO [train.py:885] (1/2) Epoch 24, batch 250, loss[loss=0.2126, simple_loss=0.2791, pruned_loss=0.07305, over 13631.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.08534, over 42.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3387, pruned_loss=0.09772, over 1990328.71 frames. utt_duration=265 frames, utt_pad_proportion=0.06816, over 30212.36 utterances.], batch size: 42, lr: 1.98e-04
+2022-09-19 00:47:20,675 INFO [train.py:885] (1/2) Epoch 24, batch 300, loss[loss=0.2058, simple_loss=0.2565, pruned_loss=0.07757, over 12551.00 frames. utt_duration=2010 frames, utt_pad_proportion=0.1588, over 25.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3439, pruned_loss=0.09954, over 2162901.74 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07134, over 34886.67 utterances.], batch size: 25, lr: 1.98e-04
+2022-09-19 00:47:50,261 INFO [train.py:885] (1/2) Epoch 24, batch 350, loss[loss=0.2927, simple_loss=0.3624, pruned_loss=0.1115, over 14330.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.03717, over 226.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3504, pruned_loss=0.103, over 2296138.92 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07596, over 39180.61 utterances.], batch size: 226, lr: 1.98e-04
+2022-09-19 00:48:19,216 INFO [train.py:885] (1/2) Epoch 24, batch 400, loss[loss=0.1515, simple_loss=0.2086, pruned_loss=0.04724, over 13544.00 frames. utt_duration=1291 frames, utt_pad_proportion=0.0939, over 42.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3463, pruned_loss=0.1009, over 2407493.95 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07346, over 39533.08 utterances.], batch size: 42, lr: 1.98e-04
+2022-09-19 00:48:48,455 INFO [train.py:885] (1/2) Epoch 24, batch 450, loss[loss=0.1894, simple_loss=0.2478, pruned_loss=0.06545, over 13202.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.102, over 33.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3443, pruned_loss=0.1001, over 2491502.18 frames. utt_duration=250.2 frames, utt_pad_proportion=0.0728, over 40065.75 utterances.], batch size: 33, lr: 1.98e-04
+2022-09-19 00:49:18,261 INFO [train.py:885] (1/2) Epoch 24, batch 500, loss[loss=0.1943, simple_loss=0.2685, pruned_loss=0.05999, over 14070.00 frames. utt_duration=805.5 frames, utt_pad_proportion=0.06013, over 70.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3468, pruned_loss=0.1015, over 2553478.28 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07262, over 41539.62 utterances.], batch size: 70, lr: 1.98e-04
+2022-09-19 00:49:47,982 INFO [train.py:885] (1/2) Epoch 24, batch 550, loss[loss=0.2333, simple_loss=0.3093, pruned_loss=0.07866, over 14312.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03937, over 120.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3441, pruned_loss=0.1003, over 2604725.63 frames. utt_duration=256.5 frames, utt_pad_proportion=0.07098, over 40851.23 utterances.], batch size: 120, lr: 1.98e-04
+2022-09-19 00:50:17,833 INFO [train.py:885] (1/2) Epoch 24, batch 600, loss[loss=0.2832, simple_loss=0.3811, pruned_loss=0.09259, over 13775.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07128, over 411.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3458, pruned_loss=0.101, over 2642874.24 frames. utt_duration=252 frames, utt_pad_proportion=0.07059, over 42200.44 utterances.], batch size: 411, lr: 1.98e-04
+2022-09-19 00:50:47,831 INFO [train.py:885] (1/2) Epoch 24, batch 650, loss[loss=0.1606, simple_loss=0.228, pruned_loss=0.04659, over 13952.00 frames. utt_duration=931.4 frames, utt_pad_proportion=0.062, over 60.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3475, pruned_loss=0.1017, over 2674429.65 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07104, over 43437.65 utterances.], batch size: 60, lr: 1.98e-04
+2022-09-19 00:51:17,086 INFO [train.py:885] (1/2) Epoch 24, batch 700, loss[loss=0.2193, simple_loss=0.2662, pruned_loss=0.08621, over 13845.00 frames. utt_duration=924.7 frames, utt_pad_proportion=0.07162, over 60.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3468, pruned_loss=0.1014, over 2696825.30 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07008, over 43151.12 utterances.], batch size: 60, lr: 1.98e-04
+2022-09-19 00:51:52,881 INFO [train.py:885] (1/2) Epoch 24, batch 750, loss[loss=0.3295, simple_loss=0.4013, pruned_loss=0.1289, over 14017.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05446, over 365.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3438, pruned_loss=0.1001, over 2710177.19 frames. utt_duration=256 frames, utt_pad_proportion=0.0719, over 42598.91 utterances.], batch size: 365, lr: 1.98e-04
+2022-09-19 00:52:30,367 INFO [train.py:885] (1/2) Epoch 24, batch 800, loss[loss=0.3231, simple_loss=0.395, pruned_loss=0.1256, over 14371.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03218, over 244.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3466, pruned_loss=0.1013, over 2723338.80 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07308, over 43974.19 utterances.], batch size: 244, lr: 1.98e-04
+2022-09-19 00:52:59,975 INFO [train.py:885] (1/2) Epoch 24, batch 850, loss[loss=0.3314, simple_loss=0.4255, pruned_loss=0.1187, over 13638.00 frames. utt_duration=98.74 frames, utt_pad_proportion=0.07719, over 560.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3473, pruned_loss=0.1024, over 2736844.55 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07186, over 44094.29 utterances.], batch size: 560, lr: 1.98e-04
+2022-09-19 00:53:29,065 INFO [train.py:885] (1/2) Epoch 24, batch 900, loss[loss=0.4606, simple_loss=0.5354, pruned_loss=0.1929, over 13122.00 frames. utt_duration=81.87 frames, utt_pad_proportion=0.1101, over 653.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3494, pruned_loss=0.1038, over 2748258.15 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07074, over 44877.94 utterances.], batch size: 653, lr: 1.98e-04
+2022-09-19 00:53:59,053 INFO [train.py:885] (1/2) Epoch 24, batch 950, loss[loss=0.2004, simple_loss=0.278, pruned_loss=0.06145, over 12343.00 frames. utt_duration=2059 frames, utt_pad_proportion=0.1638, over 24.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3463, pruned_loss=0.1019, over 2758983.10 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06816, over 43448.20 utterances.], batch size: 24, lr: 1.97e-04
+2022-09-19 00:54:28,536 INFO [train.py:885] (1/2) Epoch 24, batch 1000, loss[loss=0.2997, simple_loss=0.4003, pruned_loss=0.09956, over 13790.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07078, over 411.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3483, pruned_loss=0.1025, over 2759985.11 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07206, over 44454.06 utterances.], batch size: 411, lr: 1.97e-04
+2022-09-19 00:54:57,837 INFO [train.py:885] (1/2) Epoch 24, batch 1050, loss[loss=0.2284, simple_loss=0.2997, pruned_loss=0.07854, over 14141.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.04688, over 109.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3479, pruned_loss=0.1018, over 2764546.83 frames. utt_duration=249.2 frames, utt_pad_proportion=0.0711, over 44635.90 utterances.], batch size: 109, lr: 1.97e-04
+2022-09-19 00:55:27,952 INFO [train.py:885] (1/2) Epoch 24, batch 1100, loss[loss=0.2509, simple_loss=0.3273, pruned_loss=0.08722, over 14277.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.0439, over 141.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.347, pruned_loss=0.1018, over 2762916.38 frames. utt_duration=248.9 frames, utt_pad_proportion=0.0727, over 44667.95 utterances.], batch size: 141, lr: 1.97e-04
+2022-09-19 00:55:58,119 INFO [train.py:885] (1/2) Epoch 24, batch 1150, loss[loss=0.2608, simple_loss=0.3448, pruned_loss=0.08839, over 14331.00 frames. utt_duration=204 frames, utt_pad_proportion=0.0375, over 283.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3472, pruned_loss=0.1016, over 2765234.44 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07326, over 44917.09 utterances.], batch size: 283, lr: 1.97e-04
+2022-09-19 00:56:26,632 INFO [train.py:885] (1/2) Epoch 24, batch 1200, loss[loss=0.2906, simple_loss=0.3743, pruned_loss=0.1034, over 14055.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05488, over 366.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3481, pruned_loss=0.1024, over 2768248.66 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07204, over 45423.12 utterances.], batch size: 366, lr: 1.97e-04
+2022-09-19 00:56:56,929 INFO [train.py:885] (1/2) Epoch 24, batch 1250, loss[loss=0.3868, simple_loss=0.4762, pruned_loss=0.1486, over 13189.00 frames. utt_duration=82.36 frames, utt_pad_proportion=0.1048, over 653.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3487, pruned_loss=0.1022, over 2769634.95 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07219, over 45775.68 utterances.], batch size: 653, lr: 1.97e-04
+2022-09-19 00:57:26,547 INFO [train.py:885] (1/2) Epoch 24, batch 1300, loss[loss=0.2982, simple_loss=0.4018, pruned_loss=0.0973, over 13649.00 frames. utt_duration=98.92 frames, utt_pad_proportion=0.07548, over 560.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3508, pruned_loss=0.1033, over 2771063.52 frames. utt_duration=236.4 frames, utt_pad_proportion=0.0721, over 47184.29 utterances.], batch size: 560, lr: 1.97e-04
+2022-09-19 00:57:54,944 INFO [train.py:885] (1/2) Epoch 24, batch 1350, loss[loss=0.2433, simple_loss=0.3104, pruned_loss=0.08808, over 14122.00 frames. utt_duration=578 frames, utt_pad_proportion=0.0509, over 98.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3473, pruned_loss=0.1017, over 2778491.61 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07045, over 45282.61 utterances.], batch size: 98, lr: 1.97e-04
+2022-09-19 00:58:24,682 INFO [train.py:885] (1/2) Epoch 24, batch 1400, loss[loss=0.2543, simple_loss=0.3346, pruned_loss=0.08706, over 14189.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04362, over 109.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3485, pruned_loss=0.1026, over 2780745.44 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07035, over 45506.64 utterances.], batch size: 109, lr: 1.97e-04
+2022-09-19 00:58:54,000 INFO [train.py:885] (1/2) Epoch 24, batch 1450, loss[loss=0.2314, simple_loss=0.3077, pruned_loss=0.07758, over 14251.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04341, over 141.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3472, pruned_loss=0.1011, over 2779930.19 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07243, over 45694.41 utterances.], batch size: 141, lr: 1.97e-04
+2022-09-19 00:59:23,731 INFO [train.py:885] (1/2) Epoch 24, batch 1500, loss[loss=0.2379, simple_loss=0.324, pruned_loss=0.07587, over 14290.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.04275, over 141.00 utterances.], tot_loss[loss=0.276, simple_loss=0.348, pruned_loss=0.102, over 2781669.00 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07242, over 45347.89 utterances.], batch size: 141, lr: 1.97e-04
+2022-09-19 00:59:52,995 INFO [train.py:885] (1/2) Epoch 24, batch 1550, loss[loss=0.2812, simple_loss=0.3539, pruned_loss=0.1043, over 14324.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04063, over 167.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.348, pruned_loss=0.1018, over 2778525.41 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07382, over 45730.11 utterances.], batch size: 167, lr: 1.97e-04
+2022-09-19 01:00:22,595 INFO [train.py:885] (1/2) Epoch 24, batch 1600, loss[loss=0.1481, simple_loss=0.2168, pruned_loss=0.0397, over 13701.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.0828, over 42.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3441, pruned_loss=0.09955, over 2777837.50 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07239, over 44142.55 utterances.], batch size: 42, lr: 1.97e-04
+2022-09-19 01:00:52,320 INFO [train.py:885] (1/2) Epoch 24, batch 1650, loss[loss=0.1663, simple_loss=0.223, pruned_loss=0.05481, over 12051.00 frames. utt_duration=2010 frames, utt_pad_proportion=0.1683, over 24.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3442, pruned_loss=0.0998, over 2777375.66 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07299, over 43833.85 utterances.], batch size: 24, lr: 1.97e-04
+2022-09-19 01:01:21,237 INFO [train.py:885] (1/2) Epoch 24, batch 1700, loss[loss=0.1662, simple_loss=0.2359, pruned_loss=0.04831, over 13549.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.09031, over 42.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3413, pruned_loss=0.09847, over 2779430.95 frames. utt_duration=262.9 frames, utt_pad_proportion=0.07228, over 42530.36 utterances.], batch size: 42, lr: 1.97e-04
+2022-09-19 01:01:50,726 INFO [train.py:885] (1/2) Epoch 24, batch 1750, loss[loss=0.2954, simple_loss=0.3995, pruned_loss=0.09567, over 13655.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07963, over 477.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3442, pruned_loss=0.1003, over 2784679.63 frames. utt_duration=260.7 frames, utt_pad_proportion=0.06927, over 42976.55 utterances.], batch size: 477, lr: 1.97e-04
+2022-09-19 01:02:21,705 INFO [train.py:885] (1/2) Epoch 24, batch 1800, loss[loss=0.1854, simple_loss=0.2368, pruned_loss=0.067, over 13360.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08733, over 41.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3457, pruned_loss=0.1007, over 2786054.62 frames. utt_duration=256 frames, utt_pad_proportion=0.06806, over 43788.54 utterances.], batch size: 41, lr: 1.97e-04
+2022-09-19 01:02:51,680 INFO [train.py:885] (1/2) Epoch 24, batch 1850, loss[loss=0.5213, simple_loss=0.6016, pruned_loss=0.2205, over 12493.00 frames. utt_duration=63.25 frames, utt_pad_proportion=0.1453, over 810.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3503, pruned_loss=0.1027, over 2783316.50 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07184, over 46415.48 utterances.], batch size: 810, lr: 1.97e-04
+2022-09-19 01:03:21,209 INFO [train.py:885] (1/2) Epoch 24, batch 1900, loss[loss=0.3239, simple_loss=0.4325, pruned_loss=0.1076, over 13602.00 frames. utt_duration=98.52 frames, utt_pad_proportion=0.07926, over 560.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3474, pruned_loss=0.1015, over 2781672.05 frames. utt_duration=250 frames, utt_pad_proportion=0.07012, over 44770.08 utterances.], batch size: 560, lr: 1.97e-04
+2022-09-19 01:03:50,499 INFO [train.py:885] (1/2) Epoch 24, batch 1950, loss[loss=0.2969, simple_loss=0.3733, pruned_loss=0.1102, over 14334.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.0378, over 262.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3489, pruned_loss=0.1024, over 2780855.87 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07215, over 45132.04 utterances.], batch size: 262, lr: 1.97e-04
+2022-09-19 01:04:19,828 INFO [train.py:885] (1/2) Epoch 24, batch 2000, loss[loss=0.2884, simple_loss=0.3665, pruned_loss=0.1051, over 14382.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.0315, over 244.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3521, pruned_loss=0.1041, over 2779582.86 frames. utt_duration=241 frames, utt_pad_proportion=0.07283, over 46428.93 utterances.], batch size: 244, lr: 1.97e-04
+2022-09-19 01:04:49,081 INFO [train.py:885] (1/2) Epoch 24, batch 2050, loss[loss=0.3011, simple_loss=0.3904, pruned_loss=0.1059, over 13953.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05897, over 365.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3496, pruned_loss=0.1029, over 2783140.57 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07078, over 45449.01 utterances.], batch size: 365, lr: 1.97e-04
+2022-09-19 01:05:18,862 INFO [train.py:885] (1/2) Epoch 24, batch 2100, loss[loss=0.2632, simple_loss=0.3282, pruned_loss=0.09904, over 14120.00 frames. utt_duration=577.8 frames, utt_pad_proportion=0.05127, over 98.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3482, pruned_loss=0.1026, over 2782132.86 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06922, over 44767.63 utterances.], batch size: 98, lr: 1.97e-04
+2022-09-19 01:05:48,154 INFO [train.py:885] (1/2) Epoch 24, batch 2150, loss[loss=0.2038, simple_loss=0.2775, pruned_loss=0.06511, over 13819.00 frames. utt_duration=922.9 frames, utt_pad_proportion=0.07246, over 60.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3473, pruned_loss=0.1016, over 2784314.51 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06898, over 44356.27 utterances.], batch size: 60, lr: 1.97e-04
+2022-09-19 01:06:17,797 INFO [train.py:885] (1/2) Epoch 24, batch 2200, loss[loss=0.2717, simple_loss=0.3419, pruned_loss=0.1007, over 14288.00 frames. utt_duration=477.8 frames, utt_pad_proportion=0.04056, over 120.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3452, pruned_loss=0.1006, over 2784815.10 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06947, over 43818.07 utterances.], batch size: 120, lr: 1.97e-04
+2022-09-19 01:06:46,995 INFO [train.py:885] (1/2) Epoch 24, batch 2250, loss[loss=0.2012, simple_loss=0.2661, pruned_loss=0.06814, over 13566.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08611, over 50.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3465, pruned_loss=0.101, over 2786035.71 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06994, over 44713.16 utterances.], batch size: 50, lr: 1.97e-04
+2022-09-19 01:07:16,531 INFO [train.py:885] (1/2) Epoch 24, batch 2300, loss[loss=0.2176, simple_loss=0.2977, pruned_loss=0.06877, over 14131.00 frames. utt_duration=520 frames, utt_pad_proportion=0.04754, over 109.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3453, pruned_loss=0.09968, over 2783977.60 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06959, over 45115.39 utterances.], batch size: 109, lr: 1.97e-04
+2022-09-19 01:07:45,837 INFO [train.py:885] (1/2) Epoch 24, batch 2350, loss[loss=0.354, simple_loss=0.4095, pruned_loss=0.1492, over 14291.00 frames. utt_duration=171.9 frames, utt_pad_proportion=0.03947, over 335.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3489, pruned_loss=0.1019, over 2782938.83 frames. utt_duration=242 frames, utt_pad_proportion=0.07165, over 46283.37 utterances.], batch size: 335, lr: 1.97e-04
+2022-09-19 01:08:16,005 INFO [train.py:885] (1/2) Epoch 24, batch 2400, loss[loss=0.2621, simple_loss=0.3423, pruned_loss=0.09089, over 14342.00 frames. utt_duration=374 frames, utt_pad_proportion=0.036, over 154.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3467, pruned_loss=0.1008, over 2787535.18 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06826, over 44565.48 utterances.], batch size: 154, lr: 1.97e-04
+2022-09-19 01:08:45,272 INFO [train.py:885] (1/2) Epoch 24, batch 2450, loss[loss=0.326, simple_loss=0.4005, pruned_loss=0.1257, over 14406.00 frames. utt_duration=275.7 frames, utt_pad_proportion=0.03278, over 210.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3481, pruned_loss=0.1014, over 2788986.15 frames. utt_duration=249.9 frames, utt_pad_proportion=0.0684, over 44908.09 utterances.], batch size: 210, lr: 1.97e-04
+2022-09-19 01:09:14,707 INFO [train.py:885] (1/2) Epoch 24, batch 2500, loss[loss=0.3535, simple_loss=0.4358, pruned_loss=0.1356, over 13830.00 frames. utt_duration=136.2 frames, utt_pad_proportion=0.06711, over 411.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3497, pruned_loss=0.1022, over 2790032.07 frames. utt_duration=246 frames, utt_pad_proportion=0.06887, over 45634.62 utterances.], batch size: 411, lr: 1.97e-04
+2022-09-19 01:09:44,947 INFO [train.py:885] (1/2) Epoch 24, batch 2550, loss[loss=0.4198, simple_loss=0.4994, pruned_loss=0.1701, over 13148.00 frames. utt_duration=82.04 frames, utt_pad_proportion=0.1082, over 653.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3494, pruned_loss=0.1024, over 2785609.14 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07042, over 45487.17 utterances.], batch size: 653, lr: 1.97e-04
+2022-09-19 01:10:14,534 INFO [train.py:885] (1/2) Epoch 24, batch 2600, loss[loss=0.2183, simple_loss=0.2772, pruned_loss=0.07971, over 13583.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.08798, over 42.00 utterances.], tot_loss[loss=0.2808, simple_loss=0.3532, pruned_loss=0.1042, over 2782534.69 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07491, over 47356.65 utterances.], batch size: 42, lr: 1.97e-04
+2022-09-19 01:10:44,153 INFO [train.py:885] (1/2) Epoch 24, batch 2650, loss[loss=0.3847, simple_loss=0.4439, pruned_loss=0.1627, over 13739.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07343, over 411.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3533, pruned_loss=0.1045, over 2782815.68 frames. utt_duration=239 frames, utt_pad_proportion=0.07289, over 46861.61 utterances.], batch size: 411, lr: 1.97e-04
+2022-09-19 01:11:12,974 INFO [train.py:885] (1/2) Epoch 24, batch 2700, loss[loss=0.3232, simple_loss=0.4228, pruned_loss=0.1118, over 13659.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07923, over 477.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.351, pruned_loss=0.104, over 2781774.10 frames. utt_duration=242 frames, utt_pad_proportion=0.07301, over 46271.40 utterances.], batch size: 477, lr: 1.97e-04
+2022-09-19 01:11:42,641 INFO [train.py:885] (1/2) Epoch 24, batch 2750, loss[loss=0.5194, simple_loss=0.6041, pruned_loss=0.2174, over 12538.00 frames. utt_duration=63.44 frames, utt_pad_proportion=0.1427, over 810.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3462, pruned_loss=0.1023, over 2781668.72 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07238, over 43998.35 utterances.], batch size: 810, lr: 1.97e-04
+2022-09-19 01:12:11,718 INFO [train.py:885] (1/2) Epoch 24, batch 2800, loss[loss=0.3217, simple_loss=0.4259, pruned_loss=0.1087, over 13601.00 frames. utt_duration=98.47 frames, utt_pad_proportion=0.07971, over 560.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3491, pruned_loss=0.104, over 2784018.47 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07247, over 44849.42 utterances.], batch size: 560, lr: 1.97e-04
+2022-09-19 01:12:41,333 INFO [train.py:885] (1/2) Epoch 24, batch 2850, loss[loss=0.2719, simple_loss=0.3523, pruned_loss=0.09573, over 14322.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03775, over 226.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3504, pruned_loss=0.1052, over 2785965.95 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07169, over 44577.92 utterances.], batch size: 226, lr: 1.97e-04
+2022-09-19 01:13:11,142 INFO [train.py:885] (1/2) Epoch 24, batch 2900, loss[loss=0.3424, simple_loss=0.4031, pruned_loss=0.1408, over 14226.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04318, over 306.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3486, pruned_loss=0.1039, over 2786377.21 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07149, over 44061.46 utterances.], batch size: 306, lr: 1.97e-04
+2022-09-19 01:13:40,770 INFO [train.py:885] (1/2) Epoch 24, batch 2950, loss[loss=0.3375, simple_loss=0.3938, pruned_loss=0.1406, over 14306.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03811, over 154.00 utterances.], tot_loss[loss=0.2846, simple_loss=0.3555, pruned_loss=0.1069, over 2783112.15 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07324, over 47645.93 utterances.], batch size: 154, lr: 1.97e-04
+2022-09-19 01:14:10,580 INFO [train.py:885] (1/2) Epoch 24, batch 3000, loss[loss=0.2598, simple_loss=0.3471, pruned_loss=0.08624, over 14363.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03604, over 210.00 utterances.], tot_loss[loss=0.2866, simple_loss=0.3581, pruned_loss=0.1075, over 2783969.68 frames. utt_duration=226.9 frames, utt_pad_proportion=0.07366, over 49396.99 utterances.], batch size: 210, lr: 1.97e-04
+2022-09-19 01:14:10,581 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 01:14:15,313 INFO [train.py:914] (1/2) Epoch 24, validation: loss=0.1942, simple_loss=0.277, pruned_loss=0.05573, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 01:14:44,544 INFO [train.py:885] (1/2) Epoch 24, batch 3050, loss[loss=0.1575, simple_loss=0.2325, pruned_loss=0.04121, over 13395.00 frames. utt_duration=1073 frames, utt_pad_proportion=0.08896, over 50.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3512, pruned_loss=0.1045, over 2786135.29 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07096, over 46368.64 utterances.], batch size: 50, lr: 1.97e-04
+2022-09-19 01:15:13,668 INFO [train.py:885] (1/2) Epoch 24, batch 3100, loss[loss=0.2237, simple_loss=0.2899, pruned_loss=0.07879, over 14136.00 frames. utt_duration=636.8 frames, utt_pad_proportion=0.05235, over 89.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3477, pruned_loss=0.103, over 2785652.73 frames. utt_duration=252.1 frames, utt_pad_proportion=0.06812, over 44457.75 utterances.], batch size: 89, lr: 1.97e-04
+2022-09-19 01:15:42,873 INFO [train.py:885] (1/2) Epoch 24, batch 3150, loss[loss=0.4865, simple_loss=0.5824, pruned_loss=0.1953, over 12443.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1476, over 810.00 utterances.], tot_loss[loss=0.2817, simple_loss=0.3529, pruned_loss=0.1052, over 2783001.51 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07168, over 46645.32 utterances.], batch size: 810, lr: 1.97e-04
+2022-09-19 01:16:13,404 INFO [train.py:885] (1/2) Epoch 24, batch 3200, loss[loss=0.2635, simple_loss=0.3488, pruned_loss=0.08906, over 14328.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03744, over 210.00 utterances.], tot_loss[loss=0.2828, simple_loss=0.3546, pruned_loss=0.1055, over 2782845.75 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07255, over 47989.01 utterances.], batch size: 210, lr: 1.97e-04
+2022-09-19 01:16:42,979 INFO [train.py:885] (1/2) Epoch 24, batch 3250, loss[loss=0.1759, simple_loss=0.2557, pruned_loss=0.04811, over 12680.00 frames. utt_duration=2030 frames, utt_pad_proportion=0.1048, over 25.00 utterances.], tot_loss[loss=0.2829, simple_loss=0.3544, pruned_loss=0.1057, over 2783574.62 frames. utt_duration=236.4 frames, utt_pad_proportion=0.0722, over 47392.53 utterances.], batch size: 25, lr: 1.97e-04
+2022-09-19 01:17:12,235 INFO [train.py:885] (1/2) Epoch 24, batch 3300, loss[loss=0.2947, simple_loss=0.3624, pruned_loss=0.1135, over 14308.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03945, over 283.00 utterances.], tot_loss[loss=0.2819, simple_loss=0.3529, pruned_loss=0.1055, over 2784361.00 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07178, over 46634.48 utterances.], batch size: 283, lr: 1.97e-04
+2022-09-19 01:17:42,153 INFO [train.py:885] (1/2) Epoch 24, batch 3350, loss[loss=0.2931, simple_loss=0.3747, pruned_loss=0.1058, over 14295.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.0404, over 283.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3512, pruned_loss=0.1046, over 2781882.68 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07318, over 46569.60 utterances.], batch size: 283, lr: 1.97e-04
+2022-09-19 01:18:11,374 INFO [train.py:885] (1/2) Epoch 24, batch 3400, loss[loss=0.3525, simple_loss=0.4295, pruned_loss=0.1377, over 13800.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06919, over 411.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3501, pruned_loss=0.1038, over 2780525.82 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07348, over 46173.00 utterances.], batch size: 411, lr: 1.97e-04
+2022-09-19 01:18:41,530 INFO [train.py:885] (1/2) Epoch 24, batch 3450, loss[loss=0.2905, simple_loss=0.3875, pruned_loss=0.09677, over 13821.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06876, over 411.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3485, pruned_loss=0.1028, over 2780882.08 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07279, over 45630.55 utterances.], batch size: 411, lr: 1.97e-04
+2022-09-19 01:19:11,222 INFO [train.py:885] (1/2) Epoch 24, batch 3500, loss[loss=0.3169, simple_loss=0.3756, pruned_loss=0.1291, over 14299.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03859, over 180.00 utterances.], tot_loss[loss=0.28, simple_loss=0.351, pruned_loss=0.1045, over 2783285.01 frames. utt_duration=242 frames, utt_pad_proportion=0.07217, over 46293.32 utterances.], batch size: 180, lr: 1.97e-04
+2022-09-19 01:19:40,374 INFO [train.py:885] (1/2) Epoch 24, batch 3550, loss[loss=0.1998, simple_loss=0.2741, pruned_loss=0.06276, over 13956.00 frames. utt_duration=708.2 frames, utt_pad_proportion=0.06329, over 79.00 utterances.], tot_loss[loss=0.2807, simple_loss=0.3514, pruned_loss=0.1049, over 2784450.84 frames. utt_duration=242 frames, utt_pad_proportion=0.07173, over 46302.15 utterances.], batch size: 79, lr: 1.97e-04
+2022-09-19 01:20:09,822 INFO [train.py:885] (1/2) Epoch 24, batch 3600, loss[loss=0.3184, simple_loss=0.3794, pruned_loss=0.1287, over 14238.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04284, over 225.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.3518, pruned_loss=0.1046, over 2782961.48 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07314, over 46946.52 utterances.], batch size: 225, lr: 1.97e-04
+2022-09-19 01:20:39,281 INFO [train.py:885] (1/2) Epoch 24, batch 3650, loss[loss=0.3079, simple_loss=0.3823, pruned_loss=0.1168, over 14253.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04118, over 306.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3507, pruned_loss=0.1036, over 2781892.39 frames. utt_duration=240.7 frames, utt_pad_proportion=0.0727, over 46509.80 utterances.], batch size: 306, lr: 1.97e-04
+2022-09-19 01:21:08,841 INFO [train.py:885] (1/2) Epoch 24, batch 3700, loss[loss=0.3041, simple_loss=0.3731, pruned_loss=0.1176, over 14237.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.0417, over 306.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.349, pruned_loss=0.1026, over 2787833.38 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06979, over 45485.09 utterances.], batch size: 306, lr: 1.97e-04
+2022-09-19 01:21:38,682 INFO [train.py:885] (1/2) Epoch 24, batch 3750, loss[loss=0.2882, simple_loss=0.3865, pruned_loss=0.09493, over 13794.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07154, over 412.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3494, pruned_loss=0.1025, over 2788967.73 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06968, over 45642.71 utterances.], batch size: 412, lr: 1.97e-04
+2022-09-19 01:22:08,151 INFO [train.py:885] (1/2) Epoch 24, batch 3800, loss[loss=0.2069, simple_loss=0.2792, pruned_loss=0.06735, over 14141.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04649, over 109.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3496, pruned_loss=0.1029, over 2784177.19 frames. utt_duration=244 frames, utt_pad_proportion=0.07149, over 45920.73 utterances.], batch size: 109, lr: 1.97e-04
+2022-09-19 01:22:37,307 INFO [train.py:885] (1/2) Epoch 24, batch 3850, loss[loss=0.2489, simple_loss=0.3044, pruned_loss=0.09673, over 14244.00 frames. utt_duration=641.6 frames, utt_pad_proportion=0.04521, over 89.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3466, pruned_loss=0.1021, over 2786362.07 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06999, over 43973.39 utterances.], batch size: 89, lr: 1.97e-04
+2022-09-19 01:23:06,884 INFO [train.py:885] (1/2) Epoch 24, batch 3900, loss[loss=0.2411, simple_loss=0.3188, pruned_loss=0.0817, over 14380.00 frames. utt_duration=345.7 frames, utt_pad_proportion=0.03706, over 167.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3479, pruned_loss=0.1023, over 2780795.94 frames. utt_duration=247 frames, utt_pad_proportion=0.07125, over 45300.81 utterances.], batch size: 167, lr: 1.96e-04
+2022-09-19 01:23:36,247 INFO [train.py:885] (1/2) Epoch 24, batch 3950, loss[loss=0.2324, simple_loss=0.2923, pruned_loss=0.08631, over 14105.00 frames. utt_duration=577.1 frames, utt_pad_proportion=0.05386, over 98.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3472, pruned_loss=0.1018, over 2777375.09 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07269, over 45575.79 utterances.], batch size: 98, lr: 1.96e-04
+2022-09-19 01:24:06,571 INFO [train.py:885] (1/2) Epoch 24, batch 4000, loss[loss=0.38, simple_loss=0.4747, pruned_loss=0.1427, over 13141.00 frames. utt_duration=82.03 frames, utt_pad_proportion=0.1084, over 653.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3493, pruned_loss=0.1037, over 2780396.83 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07223, over 45875.99 utterances.], batch size: 653, lr: 1.96e-04
+2022-09-19 01:24:36,337 INFO [train.py:885] (1/2) Epoch 24, batch 4050, loss[loss=0.1873, simple_loss=0.2633, pruned_loss=0.05563, over 14055.00 frames. utt_duration=713 frames, utt_pad_proportion=0.05691, over 79.00 utterances.], tot_loss[loss=0.281, simple_loss=0.3518, pruned_loss=0.1051, over 2777483.65 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07316, over 46673.82 utterances.], batch size: 79, lr: 1.96e-04
+2022-09-19 01:25:04,760 INFO [train.py:885] (1/2) Epoch 24, batch 4100, loss[loss=0.2682, simple_loss=0.3448, pruned_loss=0.09574, over 14363.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03793, over 167.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3497, pruned_loss=0.104, over 2780325.09 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07234, over 45442.55 utterances.], batch size: 167, lr: 1.96e-04
+2022-09-19 01:25:34,908 INFO [train.py:885] (1/2) Epoch 24, batch 4150, loss[loss=0.328, simple_loss=0.3921, pruned_loss=0.132, over 14242.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04246, over 225.00 utterances.], tot_loss[loss=0.2805, simple_loss=0.352, pruned_loss=0.1045, over 2780182.73 frames. utt_duration=238.6 frames, utt_pad_proportion=0.073, over 46899.22 utterances.], batch size: 225, lr: 1.96e-04
+2022-09-19 01:26:04,074 INFO [train.py:885] (1/2) Epoch 24, batch 4200, loss[loss=0.1823, simple_loss=0.2373, pruned_loss=0.06362, over 13173.00 frames. utt_duration=1287 frames, utt_pad_proportion=0.09966, over 41.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3511, pruned_loss=0.1044, over 2785083.93 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07033, over 45284.76 utterances.], batch size: 41, lr: 1.96e-04
+2022-09-19 01:26:33,305 INFO [train.py:885] (1/2) Epoch 24, batch 4250, loss[loss=0.2461, simple_loss=0.2789, pruned_loss=0.1067, over 13648.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.07416, over 50.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3458, pruned_loss=0.1011, over 2784712.03 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07088, over 43986.64 utterances.], batch size: 50, lr: 1.96e-04
+2022-09-19 01:27:03,651 INFO [train.py:885] (1/2) Epoch 24, batch 4300, loss[loss=0.3095, simple_loss=0.4083, pruned_loss=0.1053, over 13652.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07946, over 477.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.348, pruned_loss=0.1022, over 2781593.76 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07389, over 45253.47 utterances.], batch size: 477, lr: 1.96e-04
+2022-09-19 01:27:33,434 INFO [train.py:885] (1/2) Epoch 24, batch 4350, loss[loss=0.2427, simple_loss=0.3157, pruned_loss=0.08486, over 14179.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04436, over 109.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3486, pruned_loss=0.1021, over 2780851.81 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07299, over 45408.95 utterances.], batch size: 109, lr: 1.96e-04
+2022-09-19 01:28:02,820 INFO [train.py:885] (1/2) Epoch 24, batch 4400, loss[loss=0.2973, simple_loss=0.3661, pruned_loss=0.1143, over 14300.00 frames. utt_duration=343.9 frames, utt_pad_proportion=0.04203, over 167.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3491, pruned_loss=0.1017, over 2784982.31 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07117, over 45872.76 utterances.], batch size: 167, lr: 1.96e-04
+2022-09-19 01:28:32,522 INFO [train.py:885] (1/2) Epoch 24, batch 4450, loss[loss=0.1837, simple_loss=0.2493, pruned_loss=0.05902, over 13480.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.09252, over 50.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3456, pruned_loss=0.1007, over 2787468.07 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06848, over 44060.69 utterances.], batch size: 50, lr: 1.96e-04
+2022-09-19 01:29:01,793 INFO [train.py:885] (1/2) Epoch 24, batch 4500, loss[loss=0.2673, simple_loss=0.3276, pruned_loss=0.1035, over 14095.00 frames. utt_duration=576.8 frames, utt_pad_proportion=0.05295, over 98.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3433, pruned_loss=0.1003, over 2787809.43 frames. utt_duration=262.8 frames, utt_pad_proportion=0.06733, over 42663.68 utterances.], batch size: 98, lr: 1.96e-04
+2022-09-19 01:29:32,443 INFO [train.py:885] (1/2) Epoch 24, batch 4550, loss[loss=0.1739, simple_loss=0.2426, pruned_loss=0.05257, over 12142.00 frames. utt_duration=1944 frames, utt_pad_proportion=0.1793, over 25.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3448, pruned_loss=0.1002, over 2781256.46 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06937, over 44284.91 utterances.], batch size: 25, lr: 1.96e-04
+2022-09-19 01:30:01,726 INFO [train.py:885] (1/2) Epoch 24, batch 4600, loss[loss=0.3081, simple_loss=0.3773, pruned_loss=0.1195, over 14329.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03809, over 283.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3465, pruned_loss=0.1014, over 2781274.38 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06893, over 45336.47 utterances.], batch size: 283, lr: 1.96e-04
+2022-09-19 01:30:30,727 INFO [train.py:885] (1/2) Epoch 24, batch 4650, loss[loss=0.2792, simple_loss=0.3542, pruned_loss=0.1021, over 14326.00 frames. utt_duration=274.1 frames, utt_pad_proportion=0.03816, over 210.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3442, pruned_loss=0.1002, over 2782055.84 frames. utt_duration=252.3 frames, utt_pad_proportion=0.06921, over 44366.82 utterances.], batch size: 210, lr: 1.96e-04
+2022-09-19 01:30:59,618 INFO [train.py:885] (1/2) Epoch 24, batch 4700, loss[loss=0.2745, simple_loss=0.3258, pruned_loss=0.1116, over 13743.00 frames. utt_duration=917.7 frames, utt_pad_proportion=0.07493, over 60.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.344, pruned_loss=0.1002, over 2784529.27 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06912, over 44143.24 utterances.], batch size: 60, lr: 1.96e-04
+2022-09-19 01:31:29,507 INFO [train.py:885] (1/2) Epoch 24, batch 4750, loss[loss=0.2281, simple_loss=0.2946, pruned_loss=0.08077, over 13829.00 frames. utt_duration=803.1 frames, utt_pad_proportion=0.06502, over 69.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3428, pruned_loss=0.09876, over 2785461.16 frames. utt_duration=260.2 frames, utt_pad_proportion=0.06735, over 43059.74 utterances.], batch size: 69, lr: 1.96e-04
+2022-09-19 01:31:59,268 INFO [train.py:885] (1/2) Epoch 24, batch 4800, loss[loss=0.2214, simple_loss=0.2963, pruned_loss=0.07326, over 14126.00 frames. utt_duration=519.8 frames, utt_pad_proportion=0.04623, over 109.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3456, pruned_loss=0.1004, over 2776848.03 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07235, over 44473.39 utterances.], batch size: 109, lr: 1.96e-04
+2022-09-19 01:32:29,053 INFO [train.py:885] (1/2) Epoch 24, batch 4850, loss[loss=0.2766, simple_loss=0.3779, pruned_loss=0.08768, over 13984.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05628, over 365.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3493, pruned_loss=0.1021, over 2781437.21 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07108, over 45471.84 utterances.], batch size: 365, lr: 1.96e-04
+2022-09-19 01:32:58,553 INFO [train.py:885] (1/2) Epoch 24, batch 4900, loss[loss=0.5045, simple_loss=0.5863, pruned_loss=0.2114, over 12497.00 frames. utt_duration=63.25 frames, utt_pad_proportion=0.1453, over 810.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3471, pruned_loss=0.1008, over 2773262.61 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07277, over 45021.35 utterances.], batch size: 810, lr: 1.96e-04
+2022-09-19 01:33:28,143 INFO [train.py:885] (1/2) Epoch 24, batch 4950, loss[loss=0.2745, simple_loss=0.3516, pruned_loss=0.09865, over 14328.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03916, over 154.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3472, pruned_loss=0.101, over 2775465.95 frames. utt_duration=250.9 frames, utt_pad_proportion=0.0727, over 44513.68 utterances.], batch size: 154, lr: 1.96e-04
+2022-09-19 01:33:57,449 INFO [train.py:885] (1/2) Epoch 24, batch 5000, loss[loss=0.4736, simple_loss=0.571, pruned_loss=0.1881, over 12504.00 frames. utt_duration=63.31 frames, utt_pad_proportion=0.1444, over 811.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3451, pruned_loss=0.09983, over 2769287.67 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07501, over 44608.09 utterances.], batch size: 811, lr: 1.96e-04
+2022-09-19 01:34:26,849 INFO [train.py:885] (1/2) Epoch 24, batch 5050, loss[loss=0.1865, simple_loss=0.244, pruned_loss=0.06451, over 13207.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1077, over 33.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3476, pruned_loss=0.1009, over 2772442.49 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07424, over 45393.89 utterances.], batch size: 33, lr: 1.96e-04
+2022-09-19 01:34:56,417 INFO [train.py:885] (1/2) Epoch 24, batch 5100, loss[loss=0.3457, simple_loss=0.4143, pruned_loss=0.1386, over 14069.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05428, over 366.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3502, pruned_loss=0.1031, over 2775639.43 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07256, over 45792.67 utterances.], batch size: 366, lr: 1.96e-04
+2022-09-19 01:35:26,517 INFO [train.py:885] (1/2) Epoch 24, batch 5150, loss[loss=0.335, simple_loss=0.3914, pruned_loss=0.1394, over 14359.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03563, over 195.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3503, pruned_loss=0.1035, over 2778054.64 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07064, over 45533.26 utterances.], batch size: 195, lr: 1.96e-04
+2022-09-19 01:35:56,019 INFO [train.py:885] (1/2) Epoch 24, batch 5200, loss[loss=0.2528, simple_loss=0.3314, pruned_loss=0.08717, over 14332.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03648, over 154.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3508, pruned_loss=0.104, over 2778752.50 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07037, over 46309.27 utterances.], batch size: 154, lr: 1.96e-04
+2022-09-19 01:36:25,309 INFO [train.py:885] (1/2) Epoch 24, batch 5250, loss[loss=0.1775, simple_loss=0.2533, pruned_loss=0.05088, over 13751.00 frames. utt_duration=1101 frames, utt_pad_proportion=0.06821, over 50.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3498, pruned_loss=0.1036, over 2782106.09 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07008, over 45912.94 utterances.], batch size: 50, lr: 1.96e-04
+2022-09-19 01:36:55,112 INFO [train.py:885] (1/2) Epoch 24, batch 5300, loss[loss=0.193, simple_loss=0.2644, pruned_loss=0.06078, over 13993.00 frames. utt_duration=709.8 frames, utt_pad_proportion=0.05605, over 79.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3484, pruned_loss=0.1026, over 2781374.13 frames. utt_duration=244.9 frames, utt_pad_proportion=0.071, over 45703.88 utterances.], batch size: 79, lr: 1.96e-04
+2022-09-19 01:37:23,992 INFO [train.py:885] (1/2) Epoch 24, batch 5350, loss[loss=0.3141, simple_loss=0.3779, pruned_loss=0.1251, over 14350.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03369, over 244.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3462, pruned_loss=0.1013, over 2782501.64 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07033, over 45164.68 utterances.], batch size: 244, lr: 1.96e-04
+2022-09-19 01:37:53,024 INFO [train.py:885] (1/2) Epoch 24, batch 5400, loss[loss=0.1923, simple_loss=0.2633, pruned_loss=0.06067, over 14183.00 frames. utt_duration=638.9 frames, utt_pad_proportion=0.04787, over 89.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3423, pruned_loss=0.09871, over 2778888.24 frames. utt_duration=256.6 frames, utt_pad_proportion=0.07075, over 43563.79 utterances.], batch size: 89, lr: 1.96e-04
+2022-09-19 01:38:22,962 INFO [train.py:885] (1/2) Epoch 24, batch 5450, loss[loss=0.2543, simple_loss=0.3256, pruned_loss=0.09149, over 14294.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.0416, over 154.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.346, pruned_loss=0.1006, over 2781795.07 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07257, over 44829.10 utterances.], batch size: 154, lr: 1.96e-04
+2022-09-19 01:38:52,413 INFO [train.py:885] (1/2) Epoch 24, batch 5500, loss[loss=0.2953, simple_loss=0.37, pruned_loss=0.1103, over 14306.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03867, over 226.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3464, pruned_loss=0.1004, over 2782575.13 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07111, over 45122.05 utterances.], batch size: 226, lr: 1.96e-04
+2022-09-19 01:39:22,333 INFO [train.py:885] (1/2) Epoch 24, batch 5550, loss[loss=0.3798, simple_loss=0.4443, pruned_loss=0.1577, over 13996.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05636, over 365.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3517, pruned_loss=0.103, over 2778706.13 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07372, over 47463.30 utterances.], batch size: 365, lr: 1.96e-04
+2022-09-19 01:39:51,652 INFO [train.py:885] (1/2) Epoch 24, batch 5600, loss[loss=0.1926, simple_loss=0.2662, pruned_loss=0.05949, over 13871.00 frames. utt_duration=805.6 frames, utt_pad_proportion=0.06216, over 69.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3463, pruned_loss=0.1003, over 2780031.33 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07306, over 45061.00 utterances.], batch size: 69, lr: 1.96e-04
+2022-09-19 01:40:21,444 INFO [train.py:885] (1/2) Epoch 24, batch 5650, loss[loss=0.236, simple_loss=0.3106, pruned_loss=0.08075, over 14273.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04387, over 141.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3494, pruned_loss=0.1022, over 2779418.74 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07339, over 45770.99 utterances.], batch size: 141, lr: 1.96e-04
+2022-09-19 01:40:51,060 INFO [train.py:885] (1/2) Epoch 24, batch 5700, loss[loss=0.1732, simple_loss=0.2504, pruned_loss=0.04802, over 14086.00 frames. utt_duration=714.4 frames, utt_pad_proportion=0.05499, over 79.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3492, pruned_loss=0.1023, over 2783176.15 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07228, over 45286.53 utterances.], batch size: 79, lr: 1.96e-04
+2022-09-19 01:41:20,720 INFO [train.py:885] (1/2) Epoch 24, batch 5750, loss[loss=0.1695, simple_loss=0.2492, pruned_loss=0.04489, over 14120.00 frames. utt_duration=808.3 frames, utt_pad_proportion=0.05348, over 70.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3439, pruned_loss=0.09983, over 2779418.07 frames. utt_duration=256.2 frames, utt_pad_proportion=0.07147, over 43641.52 utterances.], batch size: 70, lr: 1.96e-04
+2022-09-19 01:41:50,380 INFO [train.py:885] (1/2) Epoch 24, batch 5800, loss[loss=0.2096, simple_loss=0.278, pruned_loss=0.07056, over 13710.00 frames. utt_duration=1307 frames, utt_pad_proportion=0.08269, over 42.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3467, pruned_loss=0.1012, over 2781050.12 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06982, over 44372.39 utterances.], batch size: 42, lr: 1.96e-04
+2022-09-19 01:42:20,876 INFO [train.py:885] (1/2) Epoch 24, batch 5850, loss[loss=0.3624, simple_loss=0.4698, pruned_loss=0.1275, over 13146.00 frames. utt_duration=82.02 frames, utt_pad_proportion=0.1085, over 653.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3489, pruned_loss=0.1023, over 2780487.98 frames. utt_duration=246 frames, utt_pad_proportion=0.07053, over 45479.36 utterances.], batch size: 653, lr: 1.96e-04
+2022-09-19 01:42:50,734 INFO [train.py:885] (1/2) Epoch 24, batch 5900, loss[loss=0.289, simple_loss=0.3635, pruned_loss=0.1073, over 14369.00 frames. utt_duration=275.1 frames, utt_pad_proportion=0.03459, over 210.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3486, pruned_loss=0.1016, over 2777530.99 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07083, over 46126.58 utterances.], batch size: 210, lr: 1.96e-04
+2022-09-19 01:43:19,609 INFO [train.py:885] (1/2) Epoch 24, batch 5950, loss[loss=0.2417, simple_loss=0.3184, pruned_loss=0.08246, over 14356.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.03674, over 130.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3459, pruned_loss=0.1007, over 2785102.83 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06747, over 44398.87 utterances.], batch size: 130, lr: 1.96e-04
+2022-09-19 01:43:49,733 INFO [train.py:885] (1/2) Epoch 24, batch 6000, loss[loss=0.1839, simple_loss=0.241, pruned_loss=0.0634, over 13701.00 frames. utt_duration=915 frames, utt_pad_proportion=0.07201, over 60.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3481, pruned_loss=0.1017, over 2781214.43 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07099, over 45450.79 utterances.], batch size: 60, lr: 1.96e-04
+2022-09-19 01:43:49,734 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 01:43:54,441 INFO [train.py:914] (1/2) Epoch 24, validation: loss=0.1914, simple_loss=0.2718, pruned_loss=0.05551, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 01:44:24,274 INFO [train.py:885] (1/2) Epoch 24, batch 6050, loss[loss=0.2795, simple_loss=0.3644, pruned_loss=0.0973, over 14272.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04087, over 225.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3453, pruned_loss=0.1007, over 2783880.25 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06821, over 43557.99 utterances.], batch size: 225, lr: 1.96e-04
+2022-09-19 01:44:53,699 INFO [train.py:885] (1/2) Epoch 24, batch 6100, loss[loss=0.3495, simple_loss=0.453, pruned_loss=0.123, over 13107.00 frames. utt_duration=81.83 frames, utt_pad_proportion=0.1106, over 653.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.347, pruned_loss=0.1016, over 2784837.60 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06812, over 44541.84 utterances.], batch size: 653, lr: 1.96e-04
+2022-09-19 01:45:23,196 INFO [train.py:885] (1/2) Epoch 24, batch 6150, loss[loss=0.3187, simple_loss=0.4196, pruned_loss=0.1089, over 13604.00 frames. utt_duration=98.47 frames, utt_pad_proportion=0.07969, over 560.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3485, pruned_loss=0.1025, over 2786368.23 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06812, over 44918.68 utterances.], batch size: 560, lr: 1.96e-04
+2022-09-19 01:45:52,873 INFO [train.py:885] (1/2) Epoch 24, batch 6200, loss[loss=0.2515, simple_loss=0.326, pruned_loss=0.08853, over 14296.00 frames. utt_duration=406.9 frames, utt_pad_proportion=0.0426, over 141.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3486, pruned_loss=0.1021, over 2784535.86 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06899, over 45114.06 utterances.], batch size: 141, lr: 1.96e-04
+2022-09-19 01:46:22,137 INFO [train.py:885] (1/2) Epoch 24, batch 6250, loss[loss=0.2355, simple_loss=0.3186, pruned_loss=0.07623, over 14220.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.04773, over 141.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3502, pruned_loss=0.1035, over 2786707.35 frames. utt_duration=247.5 frames, utt_pad_proportion=0.06995, over 45312.36 utterances.], batch size: 141, lr: 1.96e-04
+2022-09-19 01:46:51,846 INFO [train.py:885] (1/2) Epoch 24, batch 6300, loss[loss=0.2986, simple_loss=0.3666, pruned_loss=0.1152, over 14332.00 frames. utt_duration=319.9 frames, utt_pad_proportion=0.03641, over 180.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3499, pruned_loss=0.103, over 2789277.49 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06784, over 45172.83 utterances.], batch size: 180, lr: 1.96e-04
+2022-09-19 01:47:21,195 INFO [train.py:885] (1/2) Epoch 24, batch 6350, loss[loss=0.3819, simple_loss=0.4315, pruned_loss=0.1662, over 14314.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0389, over 283.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3493, pruned_loss=0.1031, over 2788554.52 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06715, over 44961.61 utterances.], batch size: 283, lr: 1.96e-04
+2022-09-19 01:47:50,768 INFO [train.py:885] (1/2) Epoch 24, batch 6400, loss[loss=0.3378, simple_loss=0.3964, pruned_loss=0.1396, over 14233.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04263, over 306.00 utterances.], tot_loss[loss=0.2795, simple_loss=0.3505, pruned_loss=0.1042, over 2791344.73 frames. utt_duration=249.2 frames, utt_pad_proportion=0.0669, over 45065.78 utterances.], batch size: 306, lr: 1.96e-04
+2022-09-19 01:48:19,864 INFO [train.py:885] (1/2) Epoch 24, batch 6450, loss[loss=0.2279, simple_loss=0.2929, pruned_loss=0.08143, over 14034.00 frames. utt_duration=574.5 frames, utt_pad_proportion=0.05826, over 98.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3512, pruned_loss=0.1042, over 2792797.43 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06636, over 45902.93 utterances.], batch size: 98, lr: 1.96e-04
+2022-09-19 01:48:49,697 INFO [train.py:885] (1/2) Epoch 24, batch 6500, loss[loss=0.2994, simple_loss=0.3637, pruned_loss=0.1175, over 14358.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03556, over 210.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3508, pruned_loss=0.1039, over 2787777.54 frames. utt_duration=246 frames, utt_pad_proportion=0.0681, over 45602.03 utterances.], batch size: 210, lr: 1.96e-04
+2022-09-19 01:49:19,326 INFO [train.py:885] (1/2) Epoch 24, batch 6550, loss[loss=0.2414, simple_loss=0.3094, pruned_loss=0.08664, over 14105.00 frames. utt_duration=577 frames, utt_pad_proportion=0.05256, over 98.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3486, pruned_loss=0.1023, over 2787318.01 frames. utt_duration=246.4 frames, utt_pad_proportion=0.0679, over 45516.85 utterances.], batch size: 98, lr: 1.96e-04
+2022-09-19 01:49:49,041 INFO [train.py:885] (1/2) Epoch 24, batch 6600, loss[loss=0.2983, simple_loss=0.4089, pruned_loss=0.09381, over 13617.00 frames. utt_duration=98.64 frames, utt_pad_proportion=0.07809, over 560.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3517, pruned_loss=0.104, over 2787055.83 frames. utt_duration=241.4 frames, utt_pad_proportion=0.06888, over 46456.11 utterances.], batch size: 560, lr: 1.96e-04
+2022-09-19 01:50:17,904 INFO [train.py:885] (1/2) Epoch 24, batch 6650, loss[loss=0.2508, simple_loss=0.3291, pruned_loss=0.08626, over 14299.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.03884, over 154.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3497, pruned_loss=0.1031, over 2786430.27 frames. utt_duration=247 frames, utt_pad_proportion=0.06925, over 45387.14 utterances.], batch size: 154, lr: 1.96e-04
+2022-09-19 01:50:47,241 INFO [train.py:885] (1/2) Epoch 24, batch 6700, loss[loss=0.2899, simple_loss=0.363, pruned_loss=0.1084, over 14322.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03915, over 262.00 utterances.], tot_loss[loss=0.2825, simple_loss=0.3538, pruned_loss=0.1056, over 2786985.69 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07011, over 46800.99 utterances.], batch size: 262, lr: 1.96e-04
+2022-09-19 01:51:16,820 INFO [train.py:885] (1/2) Epoch 24, batch 6750, loss[loss=0.34, simple_loss=0.4069, pruned_loss=0.1365, over 14296.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03964, over 283.00 utterances.], tot_loss[loss=0.2815, simple_loss=0.3536, pruned_loss=0.1047, over 2783664.28 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07119, over 47305.68 utterances.], batch size: 283, lr: 1.96e-04
+2022-09-19 01:51:46,459 INFO [train.py:885] (1/2) Epoch 24, batch 6800, loss[loss=0.1622, simple_loss=0.2397, pruned_loss=0.04239, over 12046.00 frames. utt_duration=2009 frames, utt_pad_proportion=0.181, over 24.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3514, pruned_loss=0.1032, over 2780300.84 frames. utt_duration=237.5 frames, utt_pad_proportion=0.0717, over 47122.84 utterances.], batch size: 24, lr: 1.96e-04
+2022-09-19 01:52:16,279 INFO [train.py:885] (1/2) Epoch 24, batch 6850, loss[loss=0.186, simple_loss=0.2678, pruned_loss=0.05212, over 14008.00 frames. utt_duration=710.7 frames, utt_pad_proportion=0.05994, over 79.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3501, pruned_loss=0.1035, over 2778640.90 frames. utt_duration=242 frames, utt_pad_proportion=0.07196, over 46204.15 utterances.], batch size: 79, lr: 1.96e-04
+2022-09-19 01:52:46,121 INFO [train.py:885] (1/2) Epoch 24, batch 6900, loss[loss=0.3002, simple_loss=0.3527, pruned_loss=0.1239, over 14142.00 frames. utt_duration=520.3 frames, utt_pad_proportion=0.04711, over 109.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3526, pruned_loss=0.1041, over 2777265.33 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07258, over 47658.62 utterances.], batch size: 109, lr: 1.95e-04
+2022-09-19 01:53:15,467 INFO [train.py:885] (1/2) Epoch 24, batch 6950, loss[loss=0.1931, simple_loss=0.2612, pruned_loss=0.06252, over 13985.00 frames. utt_duration=709.5 frames, utt_pad_proportion=0.06157, over 79.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3499, pruned_loss=0.1032, over 2773346.16 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07325, over 46783.65 utterances.], batch size: 79, lr: 1.95e-04
+2022-09-19 01:53:52,511 INFO [train.py:885] (1/2) Epoch 24, batch 7000, loss[loss=0.1843, simple_loss=0.2548, pruned_loss=0.05689, over 14052.00 frames. utt_duration=713 frames, utt_pad_proportion=0.05691, over 79.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3472, pruned_loss=0.1012, over 2777047.76 frames. utt_duration=244.8 frames, utt_pad_proportion=0.0722, over 45656.25 utterances.], batch size: 79, lr: 1.95e-04
+2022-09-19 01:54:22,507 INFO [train.py:885] (1/2) Epoch 24, batch 7050, loss[loss=0.1681, simple_loss=0.2269, pruned_loss=0.0547, over 13275.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.09335, over 41.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3481, pruned_loss=0.102, over 2781086.18 frames. utt_duration=242.4 frames, utt_pad_proportion=0.06949, over 46172.97 utterances.], batch size: 41, lr: 1.95e-04
+2022-09-19 01:54:59,258 INFO [train.py:885] (1/2) Epoch 24, batch 7100, loss[loss=0.2053, simple_loss=0.2851, pruned_loss=0.06274, over 14256.00 frames. utt_duration=642.3 frames, utt_pad_proportion=0.0428, over 89.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3483, pruned_loss=0.1023, over 2778137.77 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07158, over 46409.40 utterances.], batch size: 89, lr: 1.95e-04
+2022-09-19 01:55:28,581 INFO [train.py:885] (1/2) Epoch 24, batch 7150, loss[loss=0.2969, simple_loss=0.3616, pruned_loss=0.1161, over 14214.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04372, over 306.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3476, pruned_loss=0.1017, over 2780239.49 frames. utt_duration=243.3 frames, utt_pad_proportion=0.0712, over 45987.56 utterances.], batch size: 306, lr: 1.95e-04
+2022-09-19 01:55:58,823 INFO [train.py:885] (1/2) Epoch 24, batch 7200, loss[loss=0.2761, simple_loss=0.3485, pruned_loss=0.1019, over 14284.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.04227, over 154.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3457, pruned_loss=0.1011, over 2780973.25 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07138, over 45171.62 utterances.], batch size: 154, lr: 1.95e-04
+2022-09-19 01:56:28,565 INFO [train.py:885] (1/2) Epoch 24, batch 7250, loss[loss=0.3617, simple_loss=0.4147, pruned_loss=0.1544, over 14329.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.03749, over 226.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3498, pruned_loss=0.1029, over 2783281.92 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07094, over 46642.35 utterances.], batch size: 226, lr: 1.95e-04
+2022-09-19 01:56:58,005 INFO [train.py:885] (1/2) Epoch 24, batch 7300, loss[loss=0.3327, simple_loss=0.3939, pruned_loss=0.1358, over 14341.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03464, over 244.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3487, pruned_loss=0.1029, over 2781745.93 frames. utt_duration=245.9 frames, utt_pad_proportion=0.06946, over 45525.73 utterances.], batch size: 244, lr: 1.95e-04
+2022-09-19 01:57:27,162 INFO [train.py:885] (1/2) Epoch 24, batch 7350, loss[loss=0.1832, simple_loss=0.2583, pruned_loss=0.05404, over 13975.00 frames. utt_duration=708.8 frames, utt_pad_proportion=0.06239, over 79.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3452, pruned_loss=0.101, over 2779242.68 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06919, over 44337.28 utterances.], batch size: 79, lr: 1.95e-04
+2022-09-19 01:57:56,894 INFO [train.py:885] (1/2) Epoch 24, batch 7400, loss[loss=0.2286, simple_loss=0.2878, pruned_loss=0.08471, over 14115.00 frames. utt_duration=577.6 frames, utt_pad_proportion=0.05313, over 98.00 utterances.], tot_loss[loss=0.275, simple_loss=0.347, pruned_loss=0.1015, over 2781577.78 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07093, over 45484.40 utterances.], batch size: 98, lr: 1.95e-04
+2022-09-19 01:58:26,153 INFO [train.py:885] (1/2) Epoch 24, batch 7450, loss[loss=0.2621, simple_loss=0.371, pruned_loss=0.07658, over 13669.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07817, over 477.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3466, pruned_loss=0.1011, over 2776087.29 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07304, over 45769.80 utterances.], batch size: 477, lr: 1.95e-04
+2022-09-19 01:58:55,570 INFO [train.py:885] (1/2) Epoch 24, batch 7500, loss[loss=0.2497, simple_loss=0.3356, pruned_loss=0.08192, over 14324.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03881, over 130.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3446, pruned_loss=0.09995, over 2778013.54 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07196, over 44955.98 utterances.], batch size: 130, lr: 1.95e-04
+2022-09-19 01:59:31,260 INFO [train.py:885] (1/2) Epoch 24, batch 7550, loss[loss=0.2754, simple_loss=0.358, pruned_loss=0.09642, over 14361.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03564, over 210.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3473, pruned_loss=0.1016, over 2782363.42 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07026, over 45114.47 utterances.], batch size: 210, lr: 1.95e-04
+2022-09-19 02:00:00,764 INFO [train.py:885] (1/2) Epoch 24, batch 7600, loss[loss=0.3079, simple_loss=0.365, pruned_loss=0.1254, over 14340.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.03773, over 130.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3472, pruned_loss=0.1012, over 2785276.99 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06857, over 44928.31 utterances.], batch size: 130, lr: 1.95e-04
+2022-09-19 02:00:36,441 INFO [train.py:885] (1/2) Epoch 24, batch 7650, loss[loss=0.3026, simple_loss=0.4003, pruned_loss=0.1025, over 13664.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07304, over 478.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3529, pruned_loss=0.1048, over 2780573.41 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07169, over 47793.15 utterances.], batch size: 478, lr: 1.95e-04
+2022-09-19 02:01:05,909 INFO [train.py:885] (1/2) Epoch 24, batch 7700, loss[loss=0.3004, simple_loss=0.3551, pruned_loss=0.1229, over 14263.00 frames. utt_duration=477.1 frames, utt_pad_proportion=0.04205, over 120.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3513, pruned_loss=0.1043, over 2784917.07 frames. utt_duration=240.9 frames, utt_pad_proportion=0.0704, over 46530.54 utterances.], batch size: 120, lr: 1.95e-04
+2022-09-19 02:01:35,508 INFO [train.py:885] (1/2) Epoch 24, batch 7750, loss[loss=0.192, simple_loss=0.2552, pruned_loss=0.06436, over 13860.00 frames. utt_duration=805 frames, utt_pad_proportion=0.06182, over 69.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.352, pruned_loss=0.1044, over 2785008.62 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07091, over 47001.59 utterances.], batch size: 69, lr: 1.95e-04
+2022-09-19 02:02:04,823 INFO [train.py:885] (1/2) Epoch 24, batch 7800, loss[loss=0.1714, simple_loss=0.2318, pruned_loss=0.05557, over 13188.00 frames. utt_duration=1600 frames, utt_pad_proportion=0.1147, over 33.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.351, pruned_loss=0.1037, over 2786594.50 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07048, over 46257.50 utterances.], batch size: 33, lr: 1.95e-04
+2022-09-19 02:02:34,576 INFO [train.py:885] (1/2) Epoch 24, batch 7850, loss[loss=0.2808, simple_loss=0.3721, pruned_loss=0.09473, over 13999.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05606, over 365.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3501, pruned_loss=0.1025, over 2781839.94 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07287, over 46558.74 utterances.], batch size: 365, lr: 1.95e-04
+2022-09-19 02:03:03,048 INFO [train.py:885] (1/2) Epoch 24, batch 7900, loss[loss=0.1434, simple_loss=0.1883, pruned_loss=0.04923, over 12954.00 frames. utt_duration=2074 frames, utt_pad_proportion=0.1243, over 25.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.343, pruned_loss=0.09916, over 2785551.29 frames. utt_duration=257.8 frames, utt_pad_proportion=0.06923, over 43472.07 utterances.], batch size: 25, lr: 1.95e-04
+2022-09-19 02:03:32,249 INFO [train.py:885] (1/2) Epoch 24, batch 7950, loss[loss=0.1755, simple_loss=0.2692, pruned_loss=0.04087, over 13591.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.09123, over 42.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3471, pruned_loss=0.1003, over 2786126.27 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07053, over 45744.56 utterances.], batch size: 42, lr: 1.95e-04
+2022-09-19 02:04:02,189 INFO [train.py:885] (1/2) Epoch 24, batch 8000, loss[loss=0.3643, simple_loss=0.4161, pruned_loss=0.1563, over 14233.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04323, over 335.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3504, pruned_loss=0.1021, over 2780544.63 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07426, over 47118.83 utterances.], batch size: 335, lr: 1.95e-04
+2022-09-19 02:04:31,587 INFO [train.py:885] (1/2) Epoch 24, batch 8050, loss[loss=0.2965, simple_loss=0.3851, pruned_loss=0.104, over 13981.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05692, over 365.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3504, pruned_loss=0.1024, over 2781696.82 frames. utt_duration=237.4 frames, utt_pad_proportion=0.0741, over 47166.95 utterances.], batch size: 365, lr: 1.95e-04
+2022-09-19 02:05:01,525 INFO [train.py:885] (1/2) Epoch 24, batch 8100, loss[loss=0.1637, simple_loss=0.2381, pruned_loss=0.04462, over 13383.00 frames. utt_duration=1307 frames, utt_pad_proportion=0.08724, over 41.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3456, pruned_loss=0.1003, over 2779771.10 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07125, over 45365.28 utterances.], batch size: 41, lr: 1.95e-04
+2022-09-19 02:05:30,491 INFO [train.py:885] (1/2) Epoch 24, batch 8150, loss[loss=0.1965, simple_loss=0.2775, pruned_loss=0.05778, over 14121.00 frames. utt_duration=636.4 frames, utt_pad_proportion=0.05161, over 89.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3466, pruned_loss=0.101, over 2782929.78 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07148, over 45376.64 utterances.], batch size: 89, lr: 1.95e-04
+2022-09-19 02:06:00,774 INFO [train.py:885] (1/2) Epoch 24, batch 8200, loss[loss=0.3027, simple_loss=0.3665, pruned_loss=0.1194, over 14356.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03372, over 244.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3498, pruned_loss=0.1022, over 2783479.78 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07175, over 46785.25 utterances.], batch size: 244, lr: 1.95e-04
+2022-09-19 02:06:30,827 INFO [train.py:885] (1/2) Epoch 24, batch 8250, loss[loss=0.1734, simple_loss=0.2547, pruned_loss=0.04607, over 13330.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.09068, over 41.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3509, pruned_loss=0.1031, over 2779096.00 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07288, over 46858.00 utterances.], batch size: 41, lr: 1.95e-04
+2022-09-19 02:07:00,029 INFO [train.py:885] (1/2) Epoch 24, batch 8300, loss[loss=0.1714, simple_loss=0.2352, pruned_loss=0.05384, over 12059.00 frames. utt_duration=2012 frames, utt_pad_proportion=0.186, over 24.00 utterances.], tot_loss[loss=0.282, simple_loss=0.3544, pruned_loss=0.1048, over 2780054.91 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07263, over 47662.62 utterances.], batch size: 24, lr: 1.95e-04
+2022-09-19 02:07:29,511 INFO [train.py:885] (1/2) Epoch 24, batch 8350, loss[loss=0.1911, simple_loss=0.2764, pruned_loss=0.05296, over 14116.00 frames. utt_duration=635.9 frames, utt_pad_proportion=0.05228, over 89.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3501, pruned_loss=0.1027, over 2781095.40 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07078, over 45982.36 utterances.], batch size: 89, lr: 1.95e-04
+2022-09-19 02:07:58,867 INFO [train.py:885] (1/2) Epoch 24, batch 8400, loss[loss=0.2198, simple_loss=0.2895, pruned_loss=0.07504, over 14142.00 frames. utt_duration=520.4 frames, utt_pad_proportion=0.04696, over 109.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3473, pruned_loss=0.1022, over 2777301.30 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07144, over 45017.20 utterances.], batch size: 109, lr: 1.95e-04
+2022-09-19 02:08:28,795 INFO [train.py:885] (1/2) Epoch 24, batch 8450, loss[loss=0.2382, simple_loss=0.3229, pruned_loss=0.07677, over 14303.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03552, over 120.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3481, pruned_loss=0.1023, over 2783207.33 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06892, over 44746.77 utterances.], batch size: 120, lr: 1.95e-04
+2022-09-19 02:08:57,656 INFO [train.py:885] (1/2) Epoch 24, batch 8500, loss[loss=0.3234, simple_loss=0.3924, pruned_loss=0.1272, over 14326.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03823, over 262.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3471, pruned_loss=0.1021, over 2782755.81 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06803, over 43936.86 utterances.], batch size: 262, lr: 1.95e-04
+2022-09-19 02:09:27,667 INFO [train.py:885] (1/2) Epoch 24, batch 8550, loss[loss=0.1871, simple_loss=0.2653, pruned_loss=0.05444, over 13901.00 frames. utt_duration=807.3 frames, utt_pad_proportion=0.05794, over 69.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3483, pruned_loss=0.1021, over 2781132.08 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06973, over 44933.58 utterances.], batch size: 69, lr: 1.95e-04
+2022-09-19 02:09:57,057 INFO [train.py:885] (1/2) Epoch 24, batch 8600, loss[loss=0.1833, simple_loss=0.25, pruned_loss=0.05829, over 13278.00 frames. utt_duration=2044 frames, utt_pad_proportion=0.1108, over 26.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3498, pruned_loss=0.1027, over 2781223.90 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07061, over 45883.23 utterances.], batch size: 26, lr: 1.95e-04
+2022-09-19 02:10:26,584 INFO [train.py:885] (1/2) Epoch 24, batch 8650, loss[loss=0.1464, simple_loss=0.2056, pruned_loss=0.04365, over 13422.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.08453, over 41.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3538, pruned_loss=0.1053, over 2782112.68 frames. utt_duration=237 frames, utt_pad_proportion=0.07115, over 47241.92 utterances.], batch size: 41, lr: 1.95e-04
+2022-09-19 02:10:56,090 INFO [train.py:885] (1/2) Epoch 24, batch 8700, loss[loss=0.3133, simple_loss=0.4108, pruned_loss=0.1079, over 13593.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.08374, over 477.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3485, pruned_loss=0.1024, over 2775190.50 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07158, over 45806.62 utterances.], batch size: 477, lr: 1.95e-04
+2022-09-19 02:11:25,715 INFO [train.py:885] (1/2) Epoch 24, batch 8750, loss[loss=0.1694, simple_loss=0.2306, pruned_loss=0.05406, over 13306.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.09315, over 41.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.35, pruned_loss=0.1038, over 2780706.46 frames. utt_duration=242.6 frames, utt_pad_proportion=0.06943, over 46132.53 utterances.], batch size: 41, lr: 1.95e-04
+2022-09-19 02:11:54,900 INFO [train.py:885] (1/2) Epoch 24, batch 8800, loss[loss=0.2466, simple_loss=0.3243, pruned_loss=0.08448, over 14335.00 frames. utt_duration=408.2 frames, utt_pad_proportion=0.03957, over 141.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3493, pruned_loss=0.1035, over 2777381.18 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07014, over 45473.12 utterances.], batch size: 141, lr: 1.95e-04
+2022-09-19 02:12:25,260 INFO [train.py:885] (1/2) Epoch 24, batch 8850, loss[loss=0.2275, simple_loss=0.3154, pruned_loss=0.06979, over 14317.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03892, over 120.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3485, pruned_loss=0.102, over 2777927.31 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07051, over 45706.76 utterances.], batch size: 120, lr: 1.95e-04
+2022-09-19 02:12:54,050 INFO [train.py:885] (1/2) Epoch 24, batch 8900, loss[loss=0.3055, simple_loss=0.3802, pruned_loss=0.1154, over 14264.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04062, over 225.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3506, pruned_loss=0.1024, over 2775438.53 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07352, over 47290.04 utterances.], batch size: 225, lr: 1.95e-04
+2022-09-19 02:13:23,780 INFO [train.py:885] (1/2) Epoch 24, batch 8950, loss[loss=0.19, simple_loss=0.2583, pruned_loss=0.06091, over 13471.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.0923, over 50.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3465, pruned_loss=0.1009, over 2779869.12 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07018, over 45224.12 utterances.], batch size: 50, lr: 1.95e-04
+2022-09-19 02:13:53,330 INFO [train.py:885] (1/2) Epoch 24, batch 9000, loss[loss=0.3112, simple_loss=0.3979, pruned_loss=0.1123, over 13763.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07254, over 411.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3472, pruned_loss=0.1011, over 2779691.37 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07149, over 45623.72 utterances.], batch size: 411, lr: 1.95e-04
+2022-09-19 02:13:53,331 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 02:13:58,088 INFO [train.py:914] (1/2) Epoch 24, validation: loss=0.1882, simple_loss=0.2681, pruned_loss=0.05417, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 02:14:27,348 INFO [train.py:885] (1/2) Epoch 24, batch 9050, loss[loss=0.2985, simple_loss=0.3474, pruned_loss=0.1248, over 14162.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.0455, over 109.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3452, pruned_loss=0.09998, over 2773650.82 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07247, over 45056.54 utterances.], batch size: 109, lr: 1.95e-04
+2022-09-19 02:14:57,274 INFO [train.py:885] (1/2) Epoch 24, batch 9100, loss[loss=0.177, simple_loss=0.2224, pruned_loss=0.0658, over 13711.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.08302, over 51.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3437, pruned_loss=0.09909, over 2777783.14 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07026, over 44190.23 utterances.], batch size: 51, lr: 1.95e-04
+2022-09-19 02:15:26,343 INFO [train.py:885] (1/2) Epoch 24, batch 9150, loss[loss=0.2607, simple_loss=0.3495, pruned_loss=0.08593, over 14361.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03788, over 167.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3421, pruned_loss=0.09889, over 2783883.96 frames. utt_duration=260.8 frames, utt_pad_proportion=0.06725, over 42938.74 utterances.], batch size: 167, lr: 1.95e-04
+2022-09-19 02:15:55,731 INFO [train.py:885] (1/2) Epoch 24, batch 9200, loss[loss=0.313, simple_loss=0.3859, pruned_loss=0.1201, over 14276.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.0403, over 225.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3427, pruned_loss=0.09903, over 2782996.04 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06889, over 43655.53 utterances.], batch size: 225, lr: 1.95e-04
+2022-09-19 02:16:25,290 INFO [train.py:885] (1/2) Epoch 24, batch 9250, loss[loss=0.2995, simple_loss=0.364, pruned_loss=0.1175, over 14313.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03855, over 195.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3436, pruned_loss=0.0994, over 2780088.36 frames. utt_duration=252.8 frames, utt_pad_proportion=0.0701, over 44239.67 utterances.], batch size: 195, lr: 1.95e-04
+2022-09-19 02:16:54,880 INFO [train.py:885] (1/2) Epoch 24, batch 9300, loss[loss=0.3476, simple_loss=0.4083, pruned_loss=0.1435, over 14247.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04227, over 335.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3435, pruned_loss=0.1006, over 2782637.90 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06823, over 43456.60 utterances.], batch size: 335, lr: 1.95e-04
+2022-09-19 02:17:24,833 INFO [train.py:885] (1/2) Epoch 24, batch 9350, loss[loss=0.2584, simple_loss=0.335, pruned_loss=0.09091, over 14338.00 frames. utt_duration=373.9 frames, utt_pad_proportion=0.03871, over 154.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3451, pruned_loss=0.1007, over 2783051.08 frames. utt_duration=254.8 frames, utt_pad_proportion=0.06992, over 43949.40 utterances.], batch size: 154, lr: 1.95e-04
+2022-09-19 02:17:54,312 INFO [train.py:885] (1/2) Epoch 24, batch 9400, loss[loss=0.4858, simple_loss=0.5872, pruned_loss=0.1922, over 12471.00 frames. utt_duration=63.17 frames, utt_pad_proportion=0.1464, over 810.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.345, pruned_loss=0.1009, over 2781713.55 frames. utt_duration=253.5 frames, utt_pad_proportion=0.07107, over 44157.92 utterances.], batch size: 810, lr: 1.95e-04
+2022-09-19 02:18:24,001 INFO [train.py:885] (1/2) Epoch 24, batch 9450, loss[loss=0.3021, simple_loss=0.3897, pruned_loss=0.1072, over 14030.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05436, over 365.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3482, pruned_loss=0.1013, over 2781991.28 frames. utt_duration=242.8 frames, utt_pad_proportion=0.0718, over 46119.36 utterances.], batch size: 365, lr: 1.95e-04
+2022-09-19 02:18:53,912 INFO [train.py:885] (1/2) Epoch 24, batch 9500, loss[loss=0.2043, simple_loss=0.2799, pruned_loss=0.06439, over 14219.00 frames. utt_duration=640.4 frames, utt_pad_proportion=0.04561, over 89.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3463, pruned_loss=0.1002, over 2777133.48 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07161, over 45793.31 utterances.], batch size: 89, lr: 1.95e-04
+2022-09-19 02:19:22,912 INFO [train.py:885] (1/2) Epoch 24, batch 9550, loss[loss=0.259, simple_loss=0.3425, pruned_loss=0.08773, over 14271.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.0403, over 225.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3418, pruned_loss=0.09798, over 2778226.83 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06981, over 44204.57 utterances.], batch size: 225, lr: 1.95e-04
+2022-09-19 02:19:52,721 INFO [train.py:885] (1/2) Epoch 24, batch 9600, loss[loss=0.2893, simple_loss=0.3594, pruned_loss=0.1096, over 14345.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03413, over 244.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.346, pruned_loss=0.1007, over 2783526.74 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06921, over 45377.47 utterances.], batch size: 244, lr: 1.95e-04
+2022-09-19 02:20:22,272 INFO [train.py:885] (1/2) Epoch 24, batch 9650, loss[loss=0.1915, simple_loss=0.2381, pruned_loss=0.07245, over 12811.00 frames. utt_duration=2051 frames, utt_pad_proportion=0.1406, over 25.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3465, pruned_loss=0.1008, over 2781057.76 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07114, over 45711.64 utterances.], batch size: 25, lr: 1.95e-04
+2022-09-19 02:20:51,433 INFO [train.py:885] (1/2) Epoch 24, batch 9700, loss[loss=0.1749, simple_loss=0.2329, pruned_loss=0.05848, over 12845.00 frames. utt_duration=1978 frames, utt_pad_proportion=0.1258, over 26.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3438, pruned_loss=0.1004, over 2779052.43 frames. utt_duration=253.8 frames, utt_pad_proportion=0.07071, over 44060.10 utterances.], batch size: 26, lr: 1.95e-04
+2022-09-19 02:21:20,963 INFO [train.py:885] (1/2) Epoch 24, batch 9750, loss[loss=0.3566, simple_loss=0.4084, pruned_loss=0.1524, over 14346.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03775, over 262.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3479, pruned_loss=0.1021, over 2779511.89 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07149, over 45337.69 utterances.], batch size: 262, lr: 1.95e-04
+2022-09-19 02:21:50,309 INFO [train.py:885] (1/2) Epoch 24, batch 9800, loss[loss=0.2573, simple_loss=0.3307, pruned_loss=0.09195, over 14331.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03918, over 154.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3494, pruned_loss=0.1029, over 2783221.79 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07002, over 45789.79 utterances.], batch size: 154, lr: 1.95e-04
+2022-09-19 02:22:19,838 INFO [train.py:885] (1/2) Epoch 24, batch 9850, loss[loss=0.3023, simple_loss=0.3702, pruned_loss=0.1172, over 14359.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.033, over 244.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3482, pruned_loss=0.102, over 2784228.68 frames. utt_duration=247 frames, utt_pad_proportion=0.06843, over 45362.99 utterances.], batch size: 244, lr: 1.95e-04
+2022-09-19 02:22:50,067 INFO [train.py:885] (1/2) Epoch 24, batch 9900, loss[loss=0.1933, simple_loss=0.2705, pruned_loss=0.05809, over 12161.00 frames. utt_duration=2028 frames, utt_pad_proportion=0.1871, over 24.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3484, pruned_loss=0.1017, over 2778376.48 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07119, over 45685.51 utterances.], batch size: 24, lr: 1.95e-04
+2022-09-19 02:23:19,718 INFO [train.py:885] (1/2) Epoch 24, batch 9950, loss[loss=0.177, simple_loss=0.2515, pruned_loss=0.05121, over 12954.00 frames. utt_duration=1994 frames, utt_pad_proportion=0.1184, over 26.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3477, pruned_loss=0.102, over 2781444.97 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06921, over 44905.57 utterances.], batch size: 26, lr: 1.95e-04
+2022-09-19 02:23:48,609 INFO [train.py:885] (1/2) Epoch 24, batch 10000, loss[loss=0.3031, simple_loss=0.377, pruned_loss=0.1146, over 14224.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04315, over 306.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3524, pruned_loss=0.1042, over 2783813.72 frames. utt_duration=241.8 frames, utt_pad_proportion=0.06996, over 46343.06 utterances.], batch size: 306, lr: 1.94e-04
+2022-09-19 02:24:17,487 INFO [train.py:885] (1/2) Epoch 24, batch 10050, loss[loss=0.2854, simple_loss=0.3793, pruned_loss=0.09573, over 14043.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05544, over 366.00 utterances.], tot_loss[loss=0.2822, simple_loss=0.3552, pruned_loss=0.1046, over 2782720.05 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07064, over 47737.97 utterances.], batch size: 366, lr: 1.94e-04
+2022-09-19 02:24:47,812 INFO [train.py:885] (1/2) Epoch 24, batch 10100, loss[loss=0.2311, simple_loss=0.3138, pruned_loss=0.07417, over 14251.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04547, over 141.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3514, pruned_loss=0.1029, over 2781943.18 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07019, over 46983.36 utterances.], batch size: 141, lr: 1.94e-04
+2022-09-19 02:25:17,398 INFO [train.py:885] (1/2) Epoch 24, batch 10150, loss[loss=0.1821, simple_loss=0.2442, pruned_loss=0.06007, over 13622.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.07921, over 50.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3505, pruned_loss=0.1025, over 2779259.69 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07157, over 46948.29 utterances.], batch size: 50, lr: 1.94e-04
+2022-09-19 02:25:47,058 INFO [train.py:885] (1/2) Epoch 24, batch 10200, loss[loss=0.3867, simple_loss=0.4784, pruned_loss=0.1475, over 13203.00 frames. utt_duration=82.45 frames, utt_pad_proportion=0.1038, over 653.00 utterances.], tot_loss[loss=0.2799, simple_loss=0.3528, pruned_loss=0.1035, over 2780769.46 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07012, over 47618.20 utterances.], batch size: 653, lr: 1.94e-04
+2022-09-19 02:26:16,214 INFO [train.py:885] (1/2) Epoch 24, batch 10250, loss[loss=0.1772, simple_loss=0.2532, pruned_loss=0.05057, over 13387.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.08562, over 41.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3525, pruned_loss=0.1029, over 2782942.46 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07013, over 47537.33 utterances.], batch size: 41, lr: 1.94e-04
+2022-09-19 02:26:46,051 INFO [train.py:885] (1/2) Epoch 24, batch 10300, loss[loss=0.2901, simple_loss=0.3793, pruned_loss=0.1004, over 13771.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07121, over 411.00 utterances.], tot_loss[loss=0.2806, simple_loss=0.3537, pruned_loss=0.1038, over 2783387.11 frames. utt_duration=235 frames, utt_pad_proportion=0.06893, over 47666.40 utterances.], batch size: 411, lr: 1.94e-04
+2022-09-19 02:27:15,811 INFO [train.py:885] (1/2) Epoch 24, batch 10350, loss[loss=0.1854, simple_loss=0.2699, pruned_loss=0.05042, over 14010.00 frames. utt_duration=710.8 frames, utt_pad_proportion=0.05984, over 79.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3533, pruned_loss=0.1038, over 2779438.79 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07074, over 47270.01 utterances.], batch size: 79, lr: 1.94e-04
+2022-09-19 02:27:44,863 INFO [train.py:885] (1/2) Epoch 24, batch 10400, loss[loss=0.2719, simple_loss=0.3608, pruned_loss=0.09153, over 14370.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03198, over 244.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3532, pruned_loss=0.1037, over 2784290.23 frames. utt_duration=235.1 frames, utt_pad_proportion=0.06993, over 47660.80 utterances.], batch size: 244, lr: 1.94e-04
+2022-09-19 02:28:14,382 INFO [train.py:885] (1/2) Epoch 24, batch 10450, loss[loss=0.262, simple_loss=0.3482, pruned_loss=0.08789, over 14283.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04009, over 180.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3525, pruned_loss=0.1039, over 2787694.46 frames. utt_duration=237.3 frames, utt_pad_proportion=0.06864, over 47273.78 utterances.], batch size: 180, lr: 1.94e-04
+2022-09-19 02:28:43,686 INFO [train.py:885] (1/2) Epoch 24, batch 10500, loss[loss=0.2326, simple_loss=0.2663, pruned_loss=0.09949, over 12898.00 frames. utt_duration=1986 frames, utt_pad_proportion=0.1132, over 26.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3521, pruned_loss=0.1036, over 2783297.82 frames. utt_duration=234.8 frames, utt_pad_proportion=0.06986, over 47720.73 utterances.], batch size: 26, lr: 1.94e-04
+2022-09-19 02:29:13,070 INFO [train.py:885] (1/2) Epoch 24, batch 10550, loss[loss=0.3538, simple_loss=0.4465, pruned_loss=0.1306, over 13584.00 frames. utt_duration=98.49 frames, utt_pad_proportion=0.07954, over 560.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3478, pruned_loss=0.1011, over 2787523.98 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06832, over 45896.26 utterances.], batch size: 560, lr: 1.94e-04
+2022-09-19 02:29:42,879 INFO [train.py:885] (1/2) Epoch 24, batch 10600, loss[loss=0.3468, simple_loss=0.4199, pruned_loss=0.1368, over 14011.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05491, over 365.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3512, pruned_loss=0.1033, over 2787638.75 frames. utt_duration=239.9 frames, utt_pad_proportion=0.06868, over 46776.51 utterances.], batch size: 365, lr: 1.94e-04
+2022-09-19 02:30:29,280 INFO [train.py:885] (1/2) Epoch 24, batch 10650, loss[loss=0.2653, simple_loss=0.331, pruned_loss=0.09982, over 14329.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.03593, over 130.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.35, pruned_loss=0.1028, over 2786491.48 frames. utt_duration=241.2 frames, utt_pad_proportion=0.06905, over 46485.12 utterances.], batch size: 130, lr: 1.94e-04
+2022-09-19 02:30:59,354 INFO [train.py:885] (1/2) Epoch 24, batch 10700, loss[loss=0.1488, simple_loss=0.2061, pruned_loss=0.04578, over 12467.00 frames. utt_duration=2079 frames, utt_pad_proportion=0.151, over 24.00 utterances.], tot_loss[loss=0.2789, simple_loss=0.3512, pruned_loss=0.1033, over 2781703.20 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07004, over 47264.27 utterances.], batch size: 24, lr: 1.94e-04
+2022-09-19 02:31:28,563 INFO [train.py:885] (1/2) Epoch 24, batch 10750, loss[loss=0.289, simple_loss=0.343, pruned_loss=0.1175, over 14357.00 frames. utt_duration=480.2 frames, utt_pad_proportion=0.03568, over 120.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3473, pruned_loss=0.1008, over 2786377.67 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06758, over 45803.09 utterances.], batch size: 120, lr: 1.94e-04
+2022-09-19 02:31:57,539 INFO [train.py:885] (1/2) Epoch 24, batch 10800, loss[loss=0.3334, simple_loss=0.3918, pruned_loss=0.1375, over 14340.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.0373, over 283.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3425, pruned_loss=0.09859, over 2783619.84 frames. utt_duration=255.4 frames, utt_pad_proportion=0.06695, over 43851.15 utterances.], batch size: 283, lr: 1.94e-04
+2022-09-19 02:32:27,269 INFO [train.py:885] (1/2) Epoch 24, batch 10850, loss[loss=0.3341, simple_loss=0.3861, pruned_loss=0.1411, over 14326.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03822, over 195.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3464, pruned_loss=0.1005, over 2782403.61 frames. utt_duration=247.9 frames, utt_pad_proportion=0.0685, over 45160.99 utterances.], batch size: 195, lr: 1.94e-04
+2022-09-19 02:32:57,462 INFO [train.py:885] (1/2) Epoch 24, batch 10900, loss[loss=0.3011, simple_loss=0.4054, pruned_loss=0.09842, over 13668.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08046, over 478.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3481, pruned_loss=0.1009, over 2776489.92 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07209, over 46508.42 utterances.], batch size: 478, lr: 1.94e-04
+2022-09-19 02:33:25,830 INFO [train.py:885] (1/2) Epoch 24, batch 10950, loss[loss=0.2414, simple_loss=0.3164, pruned_loss=0.08324, over 14223.00 frames. utt_duration=640.8 frames, utt_pad_proportion=0.04647, over 89.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3431, pruned_loss=0.09882, over 2779910.91 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06972, over 44099.19 utterances.], batch size: 89, lr: 1.94e-04
+2022-09-19 02:33:55,953 INFO [train.py:885] (1/2) Epoch 24, batch 11000, loss[loss=0.3087, simple_loss=0.4095, pruned_loss=0.104, over 13625.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07795, over 560.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3412, pruned_loss=0.09773, over 2782387.95 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06837, over 43544.55 utterances.], batch size: 560, lr: 1.94e-04
+2022-09-19 02:34:25,428 INFO [train.py:885] (1/2) Epoch 24, batch 11050, loss[loss=0.1868, simple_loss=0.2535, pruned_loss=0.06003, over 13237.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1087, over 33.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3399, pruned_loss=0.09624, over 2783777.26 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06685, over 43561.87 utterances.], batch size: 33, lr: 1.94e-04
+2022-09-19 02:34:54,798 INFO [train.py:885] (1/2) Epoch 24, batch 11100, loss[loss=0.2489, simple_loss=0.3133, pruned_loss=0.09228, over 14188.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04347, over 109.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3404, pruned_loss=0.09638, over 2781819.23 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06883, over 43616.94 utterances.], batch size: 109, lr: 1.94e-04
+2022-09-19 02:35:24,867 INFO [train.py:885] (1/2) Epoch 24, batch 11150, loss[loss=0.4381, simple_loss=0.5134, pruned_loss=0.1814, over 13198.00 frames. utt_duration=82.4 frames, utt_pad_proportion=0.1043, over 653.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3443, pruned_loss=0.09825, over 2779219.44 frames. utt_duration=247 frames, utt_pad_proportion=0.07127, over 45271.27 utterances.], batch size: 653, lr: 1.94e-04
+2022-09-19 02:35:54,407 INFO [train.py:885] (1/2) Epoch 24, batch 11200, loss[loss=0.6638, simple_loss=0.6922, pruned_loss=0.3177, over 12441.00 frames. utt_duration=63 frames, utt_pad_proportion=0.1486, over 810.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3495, pruned_loss=0.101, over 2782114.36 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07252, over 46961.38 utterances.], batch size: 810, lr: 1.94e-04
+2022-09-19 02:36:24,072 INFO [train.py:885] (1/2) Epoch 24, batch 11250, loss[loss=0.4746, simple_loss=0.5673, pruned_loss=0.191, over 12501.00 frames. utt_duration=63.21 frames, utt_pad_proportion=0.1458, over 811.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3505, pruned_loss=0.1021, over 2778644.50 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07296, over 47495.85 utterances.], batch size: 811, lr: 1.94e-04
+2022-09-19 02:36:53,426 INFO [train.py:885] (1/2) Epoch 24, batch 11300, loss[loss=0.345, simple_loss=0.432, pruned_loss=0.129, over 13650.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07985, over 477.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3507, pruned_loss=0.1029, over 2776194.05 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07323, over 47109.25 utterances.], batch size: 477, lr: 1.94e-04
+2022-09-19 02:37:23,302 INFO [train.py:885] (1/2) Epoch 24, batch 11350, loss[loss=0.5172, simple_loss=0.5981, pruned_loss=0.2181, over 12472.00 frames. utt_duration=63.21 frames, utt_pad_proportion=0.1457, over 810.00 utterances.], tot_loss[loss=0.2818, simple_loss=0.3538, pruned_loss=0.1049, over 2776075.15 frames. utt_duration=232.5 frames, utt_pad_proportion=0.07425, over 48069.02 utterances.], batch size: 810, lr: 1.94e-04
+2022-09-19 02:37:52,302 INFO [train.py:885] (1/2) Epoch 24, batch 11400, loss[loss=0.2704, simple_loss=0.3402, pruned_loss=0.1003, over 14240.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04602, over 141.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3509, pruned_loss=0.1037, over 2777756.27 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07288, over 46487.68 utterances.], batch size: 141, lr: 1.94e-04
+2022-09-19 02:38:21,633 INFO [train.py:885] (1/2) Epoch 24, batch 11450, loss[loss=0.2998, simple_loss=0.378, pruned_loss=0.1108, over 14338.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03768, over 262.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3496, pruned_loss=0.1036, over 2780416.99 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07075, over 45423.18 utterances.], batch size: 262, lr: 1.94e-04
+2022-09-19 02:38:51,956 INFO [train.py:885] (1/2) Epoch 24, batch 11500, loss[loss=0.1571, simple_loss=0.216, pruned_loss=0.04914, over 12019.00 frames. utt_duration=2004 frames, utt_pad_proportion=0.1231, over 24.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3491, pruned_loss=0.1027, over 2774829.62 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07212, over 45888.29 utterances.], batch size: 24, lr: 1.94e-04
+2022-09-19 02:39:21,666 INFO [train.py:885] (1/2) Epoch 24, batch 11550, loss[loss=0.1792, simple_loss=0.2452, pruned_loss=0.05657, over 13156.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.1176, over 33.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3479, pruned_loss=0.1018, over 2776914.90 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07245, over 45217.40 utterances.], batch size: 33, lr: 1.94e-04
+2022-09-19 02:39:50,640 INFO [train.py:885] (1/2) Epoch 24, batch 11600, loss[loss=0.2664, simple_loss=0.3321, pruned_loss=0.1004, over 14070.00 frames. utt_duration=575.8 frames, utt_pad_proportion=0.05614, over 98.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3479, pruned_loss=0.1023, over 2777562.69 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07276, over 44936.35 utterances.], batch size: 98, lr: 1.94e-04
+2022-09-19 02:40:20,335 INFO [train.py:885] (1/2) Epoch 24, batch 11650, loss[loss=0.1818, simple_loss=0.2384, pruned_loss=0.06262, over 13510.00 frames. utt_duration=1288 frames, utt_pad_proportion=0.09345, over 42.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3441, pruned_loss=0.1001, over 2778359.20 frames. utt_duration=255.6 frames, utt_pad_proportion=0.07095, over 43739.43 utterances.], batch size: 42, lr: 1.94e-04
+2022-09-19 02:40:49,818 INFO [train.py:885] (1/2) Epoch 24, batch 11700, loss[loss=0.3155, simple_loss=0.3787, pruned_loss=0.1261, over 14231.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04255, over 306.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.347, pruned_loss=0.102, over 2779433.78 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07172, over 44527.28 utterances.], batch size: 306, lr: 1.94e-04
+2022-09-19 02:41:19,630 INFO [train.py:885] (1/2) Epoch 24, batch 11750, loss[loss=0.1979, simple_loss=0.2538, pruned_loss=0.07105, over 11979.00 frames. utt_duration=1998 frames, utt_pad_proportion=0.1875, over 24.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3473, pruned_loss=0.1011, over 2777510.65 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07154, over 45409.43 utterances.], batch size: 24, lr: 1.94e-04
+2022-09-19 02:41:48,999 INFO [train.py:885] (1/2) Epoch 24, batch 11800, loss[loss=0.243, simple_loss=0.3142, pruned_loss=0.08591, over 14154.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.04594, over 109.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3485, pruned_loss=0.1012, over 2779337.26 frames. utt_duration=245.2 frames, utt_pad_proportion=0.0707, over 45607.00 utterances.], batch size: 109, lr: 1.94e-04
+2022-09-19 02:42:18,610 INFO [train.py:885] (1/2) Epoch 24, batch 11850, loss[loss=0.1843, simple_loss=0.244, pruned_loss=0.06226, over 13600.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08464, over 50.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3456, pruned_loss=0.09973, over 2779230.88 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07014, over 44703.50 utterances.], batch size: 50, lr: 1.94e-04
+2022-09-19 02:42:47,964 INFO [train.py:885] (1/2) Epoch 24, batch 11900, loss[loss=0.2886, simple_loss=0.3722, pruned_loss=0.1025, over 14307.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.038, over 180.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3455, pruned_loss=0.09942, over 2779637.20 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07195, over 44840.97 utterances.], batch size: 180, lr: 1.94e-04
+2022-09-19 02:43:17,589 INFO [train.py:885] (1/2) Epoch 24, batch 11950, loss[loss=0.2697, simple_loss=0.3144, pruned_loss=0.1125, over 14076.00 frames. utt_duration=575.9 frames, utt_pad_proportion=0.05427, over 98.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3485, pruned_loss=0.1014, over 2780934.00 frames. utt_duration=246.3 frames, utt_pad_proportion=0.0718, over 45428.80 utterances.], batch size: 98, lr: 1.94e-04
+2022-09-19 02:43:47,852 INFO [train.py:885] (1/2) Epoch 24, batch 12000, loss[loss=0.2392, simple_loss=0.3206, pruned_loss=0.07892, over 14295.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04145, over 154.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3489, pruned_loss=0.1016, over 2788032.04 frames. utt_duration=247 frames, utt_pad_proportion=0.07044, over 45429.25 utterances.], batch size: 154, lr: 1.94e-04
+2022-09-19 02:43:47,852 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 02:43:52,540 INFO [train.py:914] (1/2) Epoch 24, validation: loss=0.192, simple_loss=0.2705, pruned_loss=0.05674, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 02:44:21,757 INFO [train.py:885] (1/2) Epoch 24, batch 12050, loss[loss=0.1815, simple_loss=0.2406, pruned_loss=0.06125, over 13830.00 frames. utt_duration=1108 frames, utt_pad_proportion=0.0659, over 50.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3456, pruned_loss=0.1004, over 2784408.18 frames. utt_duration=252 frames, utt_pad_proportion=0.07097, over 44453.36 utterances.], batch size: 50, lr: 1.94e-04
+2022-09-19 02:44:51,285 INFO [train.py:885] (1/2) Epoch 24, batch 12100, loss[loss=0.2701, simple_loss=0.3426, pruned_loss=0.09874, over 14334.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03683, over 195.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.347, pruned_loss=0.1003, over 2781383.96 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07218, over 45735.29 utterances.], batch size: 195, lr: 1.94e-04
+2022-09-19 02:45:20,497 INFO [train.py:885] (1/2) Epoch 24, batch 12150, loss[loss=0.2246, simple_loss=0.3006, pruned_loss=0.07429, over 14143.00 frames. utt_duration=520.5 frames, utt_pad_proportion=0.04668, over 109.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3455, pruned_loss=0.0999, over 2785069.49 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07028, over 44752.12 utterances.], batch size: 109, lr: 1.94e-04
+2022-09-19 02:45:50,369 INFO [train.py:885] (1/2) Epoch 24, batch 12200, loss[loss=0.31, simple_loss=0.3786, pruned_loss=0.1207, over 14274.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04013, over 180.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3447, pruned_loss=0.09976, over 2784158.28 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07092, over 44115.95 utterances.], batch size: 180, lr: 1.94e-04
+2022-09-19 02:46:19,822 INFO [train.py:885] (1/2) Epoch 24, batch 12250, loss[loss=0.293, simple_loss=0.3635, pruned_loss=0.1112, over 14350.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03763, over 244.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3442, pruned_loss=0.09924, over 2778349.88 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07267, over 44789.61 utterances.], batch size: 244, lr: 1.94e-04
+2022-09-19 02:46:56,417 INFO [train.py:885] (1/2) Epoch 24, batch 12300, loss[loss=0.3251, simple_loss=0.3824, pruned_loss=0.1339, over 14309.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0387, over 283.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3432, pruned_loss=0.09836, over 2776816.40 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07254, over 45004.12 utterances.], batch size: 283, lr: 1.94e-04
+2022-09-19 02:47:26,214 INFO [train.py:885] (1/2) Epoch 24, batch 12350, loss[loss=0.2744, simple_loss=0.3742, pruned_loss=0.08725, over 13756.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07288, over 411.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3461, pruned_loss=0.09984, over 2776685.48 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07412, over 46535.39 utterances.], batch size: 411, lr: 1.94e-04
+2022-09-19 02:47:55,260 INFO [train.py:885] (1/2) Epoch 24, batch 12400, loss[loss=0.3014, simple_loss=0.3707, pruned_loss=0.1161, over 14332.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03763, over 210.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3445, pruned_loss=0.0991, over 2779535.53 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07239, over 45349.14 utterances.], batch size: 210, lr: 1.94e-04
+2022-09-19 02:48:25,461 INFO [train.py:885] (1/2) Epoch 24, batch 12450, loss[loss=0.1678, simple_loss=0.2381, pruned_loss=0.04874, over 13300.00 frames. utt_duration=1613 frames, utt_pad_proportion=0.09814, over 33.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3459, pruned_loss=0.09985, over 2776752.98 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07386, over 46036.85 utterances.], batch size: 33, lr: 1.94e-04
+2022-09-19 02:48:54,429 INFO [train.py:885] (1/2) Epoch 24, batch 12500, loss[loss=0.243, simple_loss=0.3283, pruned_loss=0.07892, over 14213.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04728, over 141.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3471, pruned_loss=0.1001, over 2773741.62 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07449, over 46356.32 utterances.], batch size: 141, lr: 1.94e-04
+2022-09-19 02:49:24,297 INFO [train.py:885] (1/2) Epoch 24, batch 12550, loss[loss=0.2842, simple_loss=0.3544, pruned_loss=0.107, over 14330.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03983, over 167.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3485, pruned_loss=0.101, over 2773954.38 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07567, over 47123.09 utterances.], batch size: 167, lr: 1.94e-04
+2022-09-19 02:49:51,792 INFO [train.py:885] (1/2) Epoch 24, batch 12600, loss[loss=0.3038, simple_loss=0.3987, pruned_loss=0.1044, over 13806.00 frames. utt_duration=136 frames, utt_pad_proportion=0.06868, over 411.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3491, pruned_loss=0.1015, over 2773492.57 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07604, over 47403.09 utterances.], batch size: 411, lr: 1.94e-04
+2022-09-19 02:50:10,838 INFO [train.py:885] (1/2) Epoch 25, batch 0, loss[loss=0.2759, simple_loss=0.359, pruned_loss=0.09637, over 14348.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03691, over 210.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.359, pruned_loss=0.09637, over 14348.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03691, over 210.00 utterances.], batch size: 210, lr: 1.90e-04
+2022-09-19 02:50:39,733 INFO [train.py:885] (1/2) Epoch 25, batch 50, loss[loss=0.2849, simple_loss=0.3648, pruned_loss=0.1025, over 14343.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03642, over 195.00 utterances.], tot_loss[loss=0.2832, simple_loss=0.3556, pruned_loss=0.1055, over 629514.88 frames. utt_duration=238.8 frames, utt_pad_proportion=0.06634, over 10609.86 utterances.], batch size: 195, lr: 1.90e-04
+2022-09-19 02:51:08,906 INFO [train.py:885] (1/2) Epoch 25, batch 100, loss[loss=0.1843, simple_loss=0.2573, pruned_loss=0.05566, over 13592.00 frames. utt_duration=907.5 frames, utt_pad_proportion=0.08792, over 60.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3473, pruned_loss=0.1014, over 1106616.35 frames. utt_duration=247.2 frames, utt_pad_proportion=0.06853, over 18013.26 utterances.], batch size: 60, lr: 1.90e-04
+2022-09-19 02:51:38,938 INFO [train.py:885] (1/2) Epoch 25, batch 150, loss[loss=0.2358, simple_loss=0.3001, pruned_loss=0.08574, over 14063.00 frames. utt_duration=713.5 frames, utt_pad_proportion=0.05618, over 79.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3501, pruned_loss=0.1032, over 1475000.41 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07339, over 24849.27 utterances.], batch size: 79, lr: 1.90e-04
+2022-09-19 02:52:08,246 INFO [train.py:885] (1/2) Epoch 25, batch 200, loss[loss=0.2047, simple_loss=0.2776, pruned_loss=0.0659, over 12232.00 frames. utt_duration=2040 frames, utt_pad_proportion=0.1528, over 24.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3494, pruned_loss=0.1023, over 1765897.76 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07104, over 29276.55 utterances.], batch size: 24, lr: 1.90e-04
+2022-09-19 02:52:37,331 INFO [train.py:885] (1/2) Epoch 25, batch 250, loss[loss=0.2816, simple_loss=0.3547, pruned_loss=0.1042, over 14343.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03661, over 210.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3485, pruned_loss=0.102, over 1984590.65 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07456, over 33057.69 utterances.], batch size: 210, lr: 1.90e-04
+2022-09-19 02:53:07,098 INFO [train.py:885] (1/2) Epoch 25, batch 300, loss[loss=0.4427, simple_loss=0.4716, pruned_loss=0.2069, over 14292.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04122, over 262.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3516, pruned_loss=0.103, over 2161830.30 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07395, over 37128.03 utterances.], batch size: 262, lr: 1.90e-04
+2022-09-19 02:53:36,272 INFO [train.py:885] (1/2) Epoch 25, batch 350, loss[loss=0.2495, simple_loss=0.3098, pruned_loss=0.09462, over 14209.00 frames. utt_duration=640.1 frames, utt_pad_proportion=0.04602, over 89.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.343, pruned_loss=0.09895, over 2296272.64 frames. utt_duration=253.8 frames, utt_pad_proportion=0.07319, over 36407.32 utterances.], batch size: 89, lr: 1.90e-04
+2022-09-19 02:54:06,252 INFO [train.py:885] (1/2) Epoch 25, batch 400, loss[loss=0.1413, simple_loss=0.2009, pruned_loss=0.04091, over 13832.00 frames. utt_duration=1319 frames, utt_pad_proportion=0.07502, over 42.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3433, pruned_loss=0.09869, over 2402055.18 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07316, over 38324.30 utterances.], batch size: 42, lr: 1.90e-04
+2022-09-19 02:54:35,693 INFO [train.py:885] (1/2) Epoch 25, batch 450, loss[loss=0.3154, simple_loss=0.387, pruned_loss=0.1219, over 14258.00 frames. utt_duration=188 frames, utt_pad_proportion=0.04105, over 306.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3393, pruned_loss=0.09733, over 2483111.19 frames. utt_duration=259.2 frames, utt_pad_proportion=0.07241, over 38532.61 utterances.], batch size: 306, lr: 1.90e-04
+2022-09-19 02:55:05,286 INFO [train.py:885] (1/2) Epoch 25, batch 500, loss[loss=0.2819, simple_loss=0.3774, pruned_loss=0.09324, over 13969.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05807, over 365.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3448, pruned_loss=0.0989, over 2546678.97 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07546, over 41570.19 utterances.], batch size: 365, lr: 1.90e-04
+2022-09-19 02:55:34,676 INFO [train.py:885] (1/2) Epoch 25, batch 550, loss[loss=0.272, simple_loss=0.3744, pruned_loss=0.08484, over 13958.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05854, over 365.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3478, pruned_loss=0.1001, over 2596208.45 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07601, over 43976.73 utterances.], batch size: 365, lr: 1.90e-04
+2022-09-19 02:56:04,584 INFO [train.py:885] (1/2) Epoch 25, batch 600, loss[loss=0.2367, simple_loss=0.3157, pruned_loss=0.07891, over 14183.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04414, over 109.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3462, pruned_loss=0.09966, over 2631737.15 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07548, over 44185.69 utterances.], batch size: 109, lr: 1.90e-04
+2022-09-19 02:56:34,425 INFO [train.py:885] (1/2) Epoch 25, batch 650, loss[loss=0.2525, simple_loss=0.2961, pruned_loss=0.1044, over 14026.00 frames. utt_duration=711.7 frames, utt_pad_proportion=0.05854, over 79.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3478, pruned_loss=0.1005, over 2661507.30 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07663, over 45933.07 utterances.], batch size: 79, lr: 1.90e-04
+2022-09-19 02:57:04,229 INFO [train.py:885] (1/2) Epoch 25, batch 700, loss[loss=0.2819, simple_loss=0.3459, pruned_loss=0.109, over 14285.00 frames. utt_duration=441 frames, utt_pad_proportion=0.03925, over 130.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3469, pruned_loss=0.1002, over 2690593.33 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07407, over 45566.23 utterances.], batch size: 130, lr: 1.90e-04
+2022-09-19 02:57:33,833 INFO [train.py:885] (1/2) Epoch 25, batch 750, loss[loss=0.2825, simple_loss=0.3649, pruned_loss=0.1, over 14336.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03693, over 210.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3477, pruned_loss=0.1022, over 2710030.85 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07366, over 45358.54 utterances.], batch size: 210, lr: 1.90e-04
+2022-09-19 02:58:03,195 INFO [train.py:885] (1/2) Epoch 25, batch 800, loss[loss=0.2451, simple_loss=0.3066, pruned_loss=0.09176, over 12715.00 frames. utt_duration=2036 frames, utt_pad_proportion=0.1332, over 25.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3461, pruned_loss=0.1011, over 2723663.89 frames. utt_duration=246 frames, utt_pad_proportion=0.07219, over 44553.61 utterances.], batch size: 25, lr: 1.90e-04
+2022-09-19 02:58:32,959 INFO [train.py:885] (1/2) Epoch 25, batch 850, loss[loss=0.2245, simple_loss=0.3062, pruned_loss=0.07139, over 14308.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04078, over 154.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3462, pruned_loss=0.1013, over 2739220.93 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07092, over 44908.19 utterances.], batch size: 154, lr: 1.90e-04
+2022-09-19 02:59:02,107 INFO [train.py:885] (1/2) Epoch 25, batch 900, loss[loss=0.3416, simple_loss=0.4, pruned_loss=0.1416, over 14200.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04463, over 306.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3469, pruned_loss=0.102, over 2745702.89 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07163, over 44623.54 utterances.], batch size: 306, lr: 1.90e-04
+2022-09-19 02:59:31,823 INFO [train.py:885] (1/2) Epoch 25, batch 950, loss[loss=0.2618, simple_loss=0.3412, pruned_loss=0.0912, over 14278.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03983, over 180.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.347, pruned_loss=0.102, over 2751890.72 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07102, over 44443.32 utterances.], batch size: 180, lr: 1.90e-04
+2022-09-19 03:00:01,159 INFO [train.py:885] (1/2) Epoch 25, batch 1000, loss[loss=0.1592, simple_loss=0.2215, pruned_loss=0.0484, over 13852.00 frames. utt_duration=804.5 frames, utt_pad_proportion=0.06344, over 69.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.346, pruned_loss=0.1012, over 2754994.96 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07192, over 44755.05 utterances.], batch size: 69, lr: 1.90e-04
+2022-09-19 03:00:30,796 INFO [train.py:885] (1/2) Epoch 25, batch 1050, loss[loss=0.2424, simple_loss=0.3147, pruned_loss=0.08508, over 14332.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.03828, over 130.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3468, pruned_loss=0.1012, over 2761756.38 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07035, over 44844.92 utterances.], batch size: 130, lr: 1.89e-04
+2022-09-19 03:01:00,261 INFO [train.py:885] (1/2) Epoch 25, batch 1100, loss[loss=0.567, simple_loss=0.6361, pruned_loss=0.2489, over 12471.00 frames. utt_duration=63.15 frames, utt_pad_proportion=0.1466, over 810.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3493, pruned_loss=0.1028, over 2762623.68 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07325, over 45851.88 utterances.], batch size: 810, lr: 1.89e-04
+2022-09-19 03:01:31,669 INFO [train.py:885] (1/2) Epoch 25, batch 1150, loss[loss=0.4205, simple_loss=0.5025, pruned_loss=0.1693, over 13140.00 frames. utt_duration=82.05 frames, utt_pad_proportion=0.1082, over 653.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3495, pruned_loss=0.1024, over 2766893.33 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07336, over 46362.05 utterances.], batch size: 653, lr: 1.89e-04
+2022-09-19 03:02:01,277 INFO [train.py:885] (1/2) Epoch 25, batch 1200, loss[loss=0.2114, simple_loss=0.2924, pruned_loss=0.06516, over 14221.00 frames. utt_duration=523.3 frames, utt_pad_proportion=0.04162, over 109.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3497, pruned_loss=0.1022, over 2766897.96 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07328, over 46479.31 utterances.], batch size: 109, lr: 1.89e-04
+2022-09-19 03:02:30,665 INFO [train.py:885] (1/2) Epoch 25, batch 1250, loss[loss=0.359, simple_loss=0.4475, pruned_loss=0.1353, over 13605.00 frames. utt_duration=98.56 frames, utt_pad_proportion=0.07891, over 560.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3486, pruned_loss=0.102, over 2771450.33 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07174, over 45688.87 utterances.], batch size: 560, lr: 1.89e-04
+2022-09-19 03:03:00,392 INFO [train.py:885] (1/2) Epoch 25, batch 1300, loss[loss=0.3414, simple_loss=0.3947, pruned_loss=0.1441, over 14358.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03566, over 195.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3493, pruned_loss=0.1017, over 2768678.27 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07389, over 46659.67 utterances.], batch size: 195, lr: 1.89e-04
+2022-09-19 03:03:30,126 INFO [train.py:885] (1/2) Epoch 25, batch 1350, loss[loss=0.3963, simple_loss=0.4674, pruned_loss=0.1626, over 13715.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07494, over 411.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3484, pruned_loss=0.1013, over 2774676.16 frames. utt_duration=242.1 frames, utt_pad_proportion=0.0728, over 46128.64 utterances.], batch size: 411, lr: 1.89e-04
+2022-09-19 03:03:59,697 INFO [train.py:885] (1/2) Epoch 25, batch 1400, loss[loss=0.1852, simple_loss=0.2626, pruned_loss=0.05393, over 13447.00 frames. utt_duration=1077 frames, utt_pad_proportion=0.09084, over 50.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3468, pruned_loss=0.1004, over 2778129.48 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07226, over 45119.68 utterances.], batch size: 50, lr: 1.89e-04
+2022-09-19 03:04:29,114 INFO [train.py:885] (1/2) Epoch 25, batch 1450, loss[loss=0.2412, simple_loss=0.3155, pruned_loss=0.08341, over 14194.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.0435, over 109.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3462, pruned_loss=0.1006, over 2772602.90 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07298, over 44895.43 utterances.], batch size: 109, lr: 1.89e-04
+2022-09-19 03:04:58,786 INFO [train.py:885] (1/2) Epoch 25, batch 1500, loss[loss=0.2649, simple_loss=0.3487, pruned_loss=0.09058, over 14352.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03613, over 195.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3485, pruned_loss=0.1007, over 2773402.00 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07339, over 46413.63 utterances.], batch size: 195, lr: 1.89e-04
+2022-09-19 03:05:27,804 INFO [train.py:885] (1/2) Epoch 25, batch 1550, loss[loss=0.2704, simple_loss=0.3547, pruned_loss=0.09298, over 14291.00 frames. utt_duration=255.5 frames, utt_pad_proportion=0.03952, over 225.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3464, pruned_loss=0.09981, over 2777515.55 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07129, over 45155.37 utterances.], batch size: 225, lr: 1.89e-04
+2022-09-19 03:05:57,742 INFO [train.py:885] (1/2) Epoch 25, batch 1600, loss[loss=0.2042, simple_loss=0.2776, pruned_loss=0.06543, over 14080.00 frames. utt_duration=805.9 frames, utt_pad_proportion=0.05958, over 70.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3475, pruned_loss=0.1001, over 2782805.83 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07061, over 45422.65 utterances.], batch size: 70, lr: 1.89e-04
+2022-09-19 03:06:27,077 INFO [train.py:885] (1/2) Epoch 25, batch 1650, loss[loss=0.2447, simple_loss=0.3245, pruned_loss=0.0825, over 14319.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.0404, over 167.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3486, pruned_loss=0.1008, over 2784544.06 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07038, over 45689.33 utterances.], batch size: 167, lr: 1.89e-04
+2022-09-19 03:06:56,637 INFO [train.py:885] (1/2) Epoch 25, batch 1700, loss[loss=0.3545, simple_loss=0.4418, pruned_loss=0.1336, over 13599.00 frames. utt_duration=98.47 frames, utt_pad_proportion=0.07967, over 560.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3516, pruned_loss=0.1016, over 2784066.07 frames. utt_duration=234.7 frames, utt_pad_proportion=0.06993, over 47754.52 utterances.], batch size: 560, lr: 1.89e-04
+2022-09-19 03:07:26,094 INFO [train.py:885] (1/2) Epoch 25, batch 1750, loss[loss=0.3148, simple_loss=0.3842, pruned_loss=0.1227, over 14355.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03677, over 283.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3518, pruned_loss=0.102, over 2784262.96 frames. utt_duration=235.4 frames, utt_pad_proportion=0.06839, over 47602.64 utterances.], batch size: 283, lr: 1.89e-04
+2022-09-19 03:07:54,754 INFO [train.py:885] (1/2) Epoch 25, batch 1800, loss[loss=0.2049, simple_loss=0.2807, pruned_loss=0.06454, over 14148.00 frames. utt_duration=579 frames, utt_pad_proportion=0.04929, over 98.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3442, pruned_loss=0.09854, over 2781761.14 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06718, over 44710.06 utterances.], batch size: 98, lr: 1.89e-04
+2022-09-19 03:08:24,515 INFO [train.py:885] (1/2) Epoch 25, batch 1850, loss[loss=0.2949, simple_loss=0.3662, pruned_loss=0.1118, over 14255.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04199, over 225.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.347, pruned_loss=0.1003, over 2780123.75 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07021, over 45529.32 utterances.], batch size: 225, lr: 1.89e-04
+2022-09-19 03:08:53,547 INFO [train.py:885] (1/2) Epoch 25, batch 1900, loss[loss=0.3515, simple_loss=0.4306, pruned_loss=0.1361, over 13980.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05692, over 365.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3474, pruned_loss=0.1013, over 2778457.00 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07017, over 45705.42 utterances.], batch size: 365, lr: 1.89e-04
+2022-09-19 03:09:23,135 INFO [train.py:885] (1/2) Epoch 25, batch 1950, loss[loss=0.1922, simple_loss=0.2678, pruned_loss=0.05829, over 13991.00 frames. utt_duration=709.8 frames, utt_pad_proportion=0.06108, over 79.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3462, pruned_loss=0.1008, over 2778933.22 frames. utt_duration=248 frames, utt_pad_proportion=0.06892, over 45091.62 utterances.], batch size: 79, lr: 1.89e-04
+2022-09-19 03:09:52,817 INFO [train.py:885] (1/2) Epoch 25, batch 2000, loss[loss=0.1967, simple_loss=0.2768, pruned_loss=0.05835, over 14153.00 frames. utt_duration=637.5 frames, utt_pad_proportion=0.04714, over 89.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3501, pruned_loss=0.1022, over 2778656.29 frames. utt_duration=238 frames, utt_pad_proportion=0.07159, over 46991.96 utterances.], batch size: 89, lr: 1.89e-04
+2022-09-19 03:10:22,153 INFO [train.py:885] (1/2) Epoch 25, batch 2050, loss[loss=0.3361, simple_loss=0.4137, pruned_loss=0.1292, over 13805.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.07011, over 411.00 utterances.], tot_loss[loss=0.2804, simple_loss=0.3533, pruned_loss=0.1038, over 2779605.94 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07309, over 48457.32 utterances.], batch size: 411, lr: 1.89e-04
+2022-09-19 03:10:51,951 INFO [train.py:885] (1/2) Epoch 25, batch 2100, loss[loss=0.3168, simple_loss=0.4045, pruned_loss=0.1146, over 13774.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07161, over 411.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3512, pruned_loss=0.1027, over 2778183.72 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07381, over 47632.75 utterances.], batch size: 411, lr: 1.89e-04
+2022-09-19 03:11:21,018 INFO [train.py:885] (1/2) Epoch 25, batch 2150, loss[loss=0.2805, simple_loss=0.3538, pruned_loss=0.1036, over 14315.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03834, over 226.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3514, pruned_loss=0.1027, over 2776746.92 frames. utt_duration=233 frames, utt_pad_proportion=0.07486, over 47979.60 utterances.], batch size: 226, lr: 1.89e-04
+2022-09-19 03:11:50,396 INFO [train.py:885] (1/2) Epoch 25, batch 2200, loss[loss=0.3033, simple_loss=0.3958, pruned_loss=0.1054, over 13738.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07349, over 411.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3522, pruned_loss=0.103, over 2776878.44 frames. utt_duration=230.4 frames, utt_pad_proportion=0.07592, over 48519.20 utterances.], batch size: 411, lr: 1.89e-04
+2022-09-19 03:12:20,140 INFO [train.py:885] (1/2) Epoch 25, batch 2250, loss[loss=0.3693, simple_loss=0.471, pruned_loss=0.1338, over 13086.00 frames. utt_duration=81.69 frames, utt_pad_proportion=0.1121, over 653.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.352, pruned_loss=0.1033, over 2776254.30 frames. utt_duration=231 frames, utt_pad_proportion=0.07448, over 48379.00 utterances.], batch size: 653, lr: 1.89e-04
+2022-09-19 03:12:49,601 INFO [train.py:885] (1/2) Epoch 25, batch 2300, loss[loss=0.2997, simple_loss=0.3811, pruned_loss=0.1091, over 14007.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05541, over 365.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3532, pruned_loss=0.103, over 2774083.78 frames. utt_duration=227.6 frames, utt_pad_proportion=0.07594, over 49074.60 utterances.], batch size: 365, lr: 1.89e-04
+2022-09-19 03:13:19,473 INFO [train.py:885] (1/2) Epoch 25, batch 2350, loss[loss=0.2309, simple_loss=0.3051, pruned_loss=0.07834, over 14153.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.04606, over 109.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3505, pruned_loss=0.102, over 2776158.68 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07385, over 47183.16 utterances.], batch size: 109, lr: 1.89e-04
+2022-09-19 03:13:49,069 INFO [train.py:885] (1/2) Epoch 25, batch 2400, loss[loss=0.1934, simple_loss=0.2562, pruned_loss=0.06525, over 13319.00 frames. utt_duration=2050 frames, utt_pad_proportion=0.1054, over 26.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3516, pruned_loss=0.1024, over 2773260.75 frames. utt_duration=231 frames, utt_pad_proportion=0.07678, over 48328.01 utterances.], batch size: 26, lr: 1.89e-04
+2022-09-19 03:14:18,314 INFO [train.py:885] (1/2) Epoch 25, batch 2450, loss[loss=0.392, simple_loss=0.485, pruned_loss=0.1495, over 13159.00 frames. utt_duration=82.15 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3498, pruned_loss=0.1021, over 2776111.65 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07369, over 46907.68 utterances.], batch size: 653, lr: 1.89e-04
+2022-09-19 03:14:47,842 INFO [train.py:885] (1/2) Epoch 25, batch 2500, loss[loss=0.5855, simple_loss=0.6423, pruned_loss=0.2644, over 12505.00 frames. utt_duration=63.32 frames, utt_pad_proportion=0.1444, over 810.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3458, pruned_loss=0.101, over 2770849.22 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07532, over 45752.06 utterances.], batch size: 810, lr: 1.89e-04
+2022-09-19 03:15:17,693 INFO [train.py:885] (1/2) Epoch 25, batch 2550, loss[loss=0.1854, simple_loss=0.2761, pruned_loss=0.04732, over 14159.00 frames. utt_duration=637.8 frames, utt_pad_proportion=0.04943, over 89.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3438, pruned_loss=0.09969, over 2781245.08 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07119, over 44371.30 utterances.], batch size: 89, lr: 1.89e-04
+2022-09-19 03:15:47,616 INFO [train.py:885] (1/2) Epoch 25, batch 2600, loss[loss=0.3239, simple_loss=0.3905, pruned_loss=0.1286, over 14210.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04395, over 306.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3457, pruned_loss=0.101, over 2782183.22 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06946, over 44542.18 utterances.], batch size: 306, lr: 1.89e-04
+2022-09-19 03:16:17,598 INFO [train.py:885] (1/2) Epoch 25, batch 2650, loss[loss=0.1955, simple_loss=0.2507, pruned_loss=0.07015, over 13891.00 frames. utt_duration=806.9 frames, utt_pad_proportion=0.0607, over 69.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3453, pruned_loss=0.1003, over 2778536.81 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07026, over 45018.33 utterances.], batch size: 69, lr: 1.89e-04
+2022-09-19 03:16:46,984 INFO [train.py:885] (1/2) Epoch 25, batch 2700, loss[loss=0.2032, simple_loss=0.2706, pruned_loss=0.06791, over 14086.00 frames. utt_duration=806.3 frames, utt_pad_proportion=0.05918, over 70.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3467, pruned_loss=0.101, over 2781546.32 frames. utt_duration=245.8 frames, utt_pad_proportion=0.0694, over 45535.32 utterances.], batch size: 70, lr: 1.89e-04
+2022-09-19 03:17:16,228 INFO [train.py:885] (1/2) Epoch 25, batch 2750, loss[loss=0.3406, simple_loss=0.3962, pruned_loss=0.1425, over 14191.00 frames. utt_duration=170.8 frames, utt_pad_proportion=0.04574, over 335.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3495, pruned_loss=0.1021, over 2788004.89 frames. utt_duration=242.8 frames, utt_pad_proportion=0.06751, over 46202.94 utterances.], batch size: 335, lr: 1.89e-04
+2022-09-19 03:17:45,618 INFO [train.py:885] (1/2) Epoch 25, batch 2800, loss[loss=0.1577, simple_loss=0.2156, pruned_loss=0.04992, over 13211.00 frames. utt_duration=1603 frames, utt_pad_proportion=0.1106, over 33.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3474, pruned_loss=0.1009, over 2784072.75 frames. utt_duration=247 frames, utt_pad_proportion=0.06762, over 45348.82 utterances.], batch size: 33, lr: 1.89e-04
+2022-09-19 03:18:14,857 INFO [train.py:885] (1/2) Epoch 25, batch 2850, loss[loss=0.2385, simple_loss=0.3134, pruned_loss=0.08182, over 14356.00 frames. utt_duration=479.8 frames, utt_pad_proportion=0.03656, over 120.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3487, pruned_loss=0.1017, over 2781542.47 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06816, over 45738.98 utterances.], batch size: 120, lr: 1.89e-04
+2022-09-19 03:18:44,326 INFO [train.py:885] (1/2) Epoch 25, batch 2900, loss[loss=0.5109, simple_loss=0.5987, pruned_loss=0.2115, over 12469.00 frames. utt_duration=63.18 frames, utt_pad_proportion=0.1462, over 810.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3498, pruned_loss=0.1023, over 2780145.88 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06949, over 46000.89 utterances.], batch size: 810, lr: 1.89e-04
+2022-09-19 03:19:14,049 INFO [train.py:885] (1/2) Epoch 25, batch 2950, loss[loss=0.2723, simple_loss=0.3379, pruned_loss=0.1034, over 14251.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04314, over 141.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3498, pruned_loss=0.1023, over 2776240.12 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07235, over 46814.09 utterances.], batch size: 141, lr: 1.89e-04
+2022-09-19 03:19:43,457 INFO [train.py:885] (1/2) Epoch 25, batch 3000, loss[loss=0.2556, simple_loss=0.3394, pruned_loss=0.08586, over 14323.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04045, over 167.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3449, pruned_loss=0.1003, over 2776324.72 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07057, over 44633.85 utterances.], batch size: 167, lr: 1.89e-04
+2022-09-19 03:19:43,457 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 03:19:48,135 INFO [train.py:914] (1/2) Epoch 25, validation: loss=0.1934, simple_loss=0.2732, pruned_loss=0.05678, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 03:20:18,142 INFO [train.py:885] (1/2) Epoch 25, batch 3050, loss[loss=0.4302, simple_loss=0.4558, pruned_loss=0.2023, over 14269.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04131, over 335.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3503, pruned_loss=0.1027, over 2776532.55 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07273, over 47012.17 utterances.], batch size: 335, lr: 1.89e-04
+2022-09-19 03:20:47,413 INFO [train.py:885] (1/2) Epoch 25, batch 3100, loss[loss=0.2219, simple_loss=0.3041, pruned_loss=0.06981, over 14162.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.04377, over 109.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3518, pruned_loss=0.1032, over 2777692.56 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07247, over 47510.97 utterances.], batch size: 109, lr: 1.89e-04
+2022-09-19 03:21:17,134 INFO [train.py:885] (1/2) Epoch 25, batch 3150, loss[loss=0.1623, simple_loss=0.2144, pruned_loss=0.05511, over 13527.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08945, over 50.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3478, pruned_loss=0.1018, over 2777501.18 frames. utt_duration=243.7 frames, utt_pad_proportion=0.0708, over 45863.74 utterances.], batch size: 50, lr: 1.89e-04
+2022-09-19 03:21:46,299 INFO [train.py:885] (1/2) Epoch 25, batch 3200, loss[loss=0.3308, simple_loss=0.4089, pruned_loss=0.1263, over 13981.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05718, over 365.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3501, pruned_loss=0.1025, over 2775428.70 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07295, over 46921.34 utterances.], batch size: 365, lr: 1.89e-04
+2022-09-19 03:22:16,342 INFO [train.py:885] (1/2) Epoch 25, batch 3250, loss[loss=0.291, simple_loss=0.3668, pruned_loss=0.1076, over 14293.00 frames. utt_duration=203.4 frames, utt_pad_proportion=0.0406, over 283.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3463, pruned_loss=0.1005, over 2780498.66 frames. utt_duration=245.8 frames, utt_pad_proportion=0.0724, over 45518.31 utterances.], batch size: 283, lr: 1.89e-04
+2022-09-19 03:22:45,697 INFO [train.py:885] (1/2) Epoch 25, batch 3300, loss[loss=0.1569, simple_loss=0.2048, pruned_loss=0.0545, over 12462.00 frames. utt_duration=2078 frames, utt_pad_proportion=0.1599, over 24.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.346, pruned_loss=0.101, over 2779017.50 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07075, over 44592.97 utterances.], batch size: 24, lr: 1.89e-04
+2022-09-19 03:23:15,458 INFO [train.py:885] (1/2) Epoch 25, batch 3350, loss[loss=0.3025, simple_loss=0.3751, pruned_loss=0.115, over 14319.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03885, over 262.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3456, pruned_loss=0.1009, over 2779421.29 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07094, over 44390.74 utterances.], batch size: 262, lr: 1.89e-04
+2022-09-19 03:23:44,680 INFO [train.py:885] (1/2) Epoch 25, batch 3400, loss[loss=0.3148, simple_loss=0.3862, pruned_loss=0.1217, over 14238.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04267, over 306.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3455, pruned_loss=0.1012, over 2780607.78 frames. utt_duration=252.8 frames, utt_pad_proportion=0.0695, over 44255.85 utterances.], batch size: 306, lr: 1.89e-04
+2022-09-19 03:24:14,275 INFO [train.py:885] (1/2) Epoch 25, batch 3450, loss[loss=0.2542, simple_loss=0.3318, pruned_loss=0.08831, over 14335.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.03958, over 167.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3448, pruned_loss=0.1008, over 2783087.15 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06989, over 43726.65 utterances.], batch size: 167, lr: 1.89e-04
+2022-09-19 03:24:43,843 INFO [train.py:885] (1/2) Epoch 25, batch 3500, loss[loss=0.244, simple_loss=0.319, pruned_loss=0.08455, over 14361.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.03437, over 130.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3505, pruned_loss=0.1029, over 2781505.66 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07317, over 46360.51 utterances.], batch size: 130, lr: 1.89e-04
+2022-09-19 03:25:13,593 INFO [train.py:885] (1/2) Epoch 25, batch 3550, loss[loss=0.2403, simple_loss=0.3278, pruned_loss=0.07639, over 14366.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03753, over 167.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3473, pruned_loss=0.1018, over 2779405.05 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07274, over 45251.24 utterances.], batch size: 167, lr: 1.89e-04
+2022-09-19 03:25:42,761 INFO [train.py:885] (1/2) Epoch 25, batch 3600, loss[loss=0.1854, simple_loss=0.2635, pruned_loss=0.05367, over 13892.00 frames. utt_duration=704.8 frames, utt_pad_proportion=0.06771, over 79.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.345, pruned_loss=0.1008, over 2780139.13 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07267, over 44358.56 utterances.], batch size: 79, lr: 1.89e-04
+2022-09-19 03:26:12,437 INFO [train.py:885] (1/2) Epoch 25, batch 3650, loss[loss=0.2404, simple_loss=0.3093, pruned_loss=0.08569, over 14209.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.0426, over 109.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3468, pruned_loss=0.102, over 2781733.25 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07304, over 45062.28 utterances.], batch size: 109, lr: 1.89e-04
+2022-09-19 03:26:41,797 INFO [train.py:885] (1/2) Epoch 25, batch 3700, loss[loss=0.1906, simple_loss=0.2624, pruned_loss=0.05942, over 12571.00 frames. utt_duration=2013 frames, utt_pad_proportion=0.1023, over 25.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3417, pruned_loss=0.09917, over 2779284.81 frames. utt_duration=260 frames, utt_pad_proportion=0.07083, over 42997.36 utterances.], batch size: 25, lr: 1.89e-04
+2022-09-19 03:27:11,288 INFO [train.py:885] (1/2) Epoch 25, batch 3750, loss[loss=0.2119, simple_loss=0.2779, pruned_loss=0.0729, over 14178.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04831, over 89.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3438, pruned_loss=0.09975, over 2777688.70 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07099, over 44134.92 utterances.], batch size: 89, lr: 1.89e-04
+2022-09-19 03:27:41,020 INFO [train.py:885] (1/2) Epoch 25, batch 3800, loss[loss=0.2073, simple_loss=0.2718, pruned_loss=0.07145, over 13481.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.09019, over 50.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3444, pruned_loss=0.09982, over 2780418.66 frames. utt_duration=253.8 frames, utt_pad_proportion=0.07051, over 44076.44 utterances.], batch size: 50, lr: 1.89e-04
+2022-09-19 03:28:11,125 INFO [train.py:885] (1/2) Epoch 25, batch 3850, loss[loss=0.1799, simple_loss=0.2429, pruned_loss=0.05849, over 13867.00 frames. utt_duration=1322 frames, utt_pad_proportion=0.07218, over 42.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3465, pruned_loss=0.1008, over 2777891.77 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07166, over 45601.73 utterances.], batch size: 42, lr: 1.89e-04
+2022-09-19 03:28:40,807 INFO [train.py:885] (1/2) Epoch 25, batch 3900, loss[loss=0.3051, simple_loss=0.4032, pruned_loss=0.1034, over 13643.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07971, over 477.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3479, pruned_loss=0.1017, over 2775361.94 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07338, over 45744.47 utterances.], batch size: 477, lr: 1.89e-04
+2022-09-19 03:29:09,883 INFO [train.py:885] (1/2) Epoch 25, batch 3950, loss[loss=0.1473, simple_loss=0.2158, pruned_loss=0.03944, over 13759.00 frames. utt_duration=1102 frames, utt_pad_proportion=0.07376, over 50.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3445, pruned_loss=0.09918, over 2777591.58 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07214, over 44862.70 utterances.], batch size: 50, lr: 1.89e-04
+2022-09-19 03:29:39,720 INFO [train.py:885] (1/2) Epoch 25, batch 4000, loss[loss=0.5971, simple_loss=0.6521, pruned_loss=0.2711, over 12445.00 frames. utt_duration=63.04 frames, utt_pad_proportion=0.1481, over 810.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.347, pruned_loss=0.1006, over 2777602.56 frames. utt_duration=243 frames, utt_pad_proportion=0.07345, over 46002.99 utterances.], batch size: 810, lr: 1.89e-04
+2022-09-19 03:30:09,135 INFO [train.py:885] (1/2) Epoch 25, batch 4050, loss[loss=0.3361, simple_loss=0.394, pruned_loss=0.1391, over 14231.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04285, over 306.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3474, pruned_loss=0.1013, over 2778609.26 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07254, over 45954.39 utterances.], batch size: 306, lr: 1.89e-04
+2022-09-19 03:30:38,708 INFO [train.py:885] (1/2) Epoch 25, batch 4100, loss[loss=0.2479, simple_loss=0.325, pruned_loss=0.0854, over 14310.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03787, over 130.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3477, pruned_loss=0.1017, over 2779115.51 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07294, over 46107.49 utterances.], batch size: 130, lr: 1.89e-04
+2022-09-19 03:31:07,402 INFO [train.py:885] (1/2) Epoch 25, batch 4150, loss[loss=0.2376, simple_loss=0.3023, pruned_loss=0.0865, over 14237.00 frames. utt_duration=523.9 frames, utt_pad_proportion=0.04044, over 109.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3457, pruned_loss=0.1002, over 2784240.66 frames. utt_duration=249 frames, utt_pad_proportion=0.06954, over 44998.93 utterances.], batch size: 109, lr: 1.89e-04
+2022-09-19 03:31:36,980 INFO [train.py:885] (1/2) Epoch 25, batch 4200, loss[loss=0.2732, simple_loss=0.3472, pruned_loss=0.09957, over 14330.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03745, over 195.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3427, pruned_loss=0.09918, over 2784974.85 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06868, over 43546.07 utterances.], batch size: 195, lr: 1.89e-04
+2022-09-19 03:32:06,830 INFO [train.py:885] (1/2) Epoch 25, batch 4250, loss[loss=0.5564, simple_loss=0.6327, pruned_loss=0.2401, over 12491.00 frames. utt_duration=63.21 frames, utt_pad_proportion=0.1458, over 811.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3454, pruned_loss=0.1001, over 2782195.29 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07134, over 45163.51 utterances.], batch size: 811, lr: 1.88e-04
+2022-09-19 03:32:36,322 INFO [train.py:885] (1/2) Epoch 25, batch 4300, loss[loss=0.1956, simple_loss=0.2761, pruned_loss=0.05753, over 14167.00 frames. utt_duration=638.3 frames, utt_pad_proportion=0.04871, over 89.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3437, pruned_loss=0.09885, over 2782909.97 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07083, over 44779.27 utterances.], batch size: 89, lr: 1.88e-04
+2022-09-19 03:33:06,056 INFO [train.py:885] (1/2) Epoch 25, batch 4350, loss[loss=0.4491, simple_loss=0.5286, pruned_loss=0.1848, over 13168.00 frames. utt_duration=82.26 frames, utt_pad_proportion=0.1059, over 653.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3487, pruned_loss=0.1013, over 2778144.00 frames. utt_duration=241 frames, utt_pad_proportion=0.07292, over 46389.37 utterances.], batch size: 653, lr: 1.88e-04
+2022-09-19 03:33:37,790 INFO [train.py:885] (1/2) Epoch 25, batch 4400, loss[loss=0.2483, simple_loss=0.3265, pruned_loss=0.08499, over 14274.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.04312, over 154.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3514, pruned_loss=0.1031, over 2781784.66 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07299, over 47077.50 utterances.], batch size: 154, lr: 1.88e-04
+2022-09-19 03:34:13,158 INFO [train.py:885] (1/2) Epoch 25, batch 4450, loss[loss=0.2974, simple_loss=0.3678, pruned_loss=0.1136, over 14350.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03626, over 210.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3522, pruned_loss=0.1025, over 2783317.84 frames. utt_duration=233.4 frames, utt_pad_proportion=0.0725, over 48012.97 utterances.], batch size: 210, lr: 1.88e-04
+2022-09-19 03:34:42,232 INFO [train.py:885] (1/2) Epoch 25, batch 4500, loss[loss=0.2409, simple_loss=0.3192, pruned_loss=0.08127, over 14231.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04496, over 141.00 utterances.], tot_loss[loss=0.275, simple_loss=0.348, pruned_loss=0.101, over 2783681.56 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07123, over 46130.81 utterances.], batch size: 141, lr: 1.88e-04
+2022-09-19 03:35:11,554 INFO [train.py:885] (1/2) Epoch 25, batch 4550, loss[loss=0.2684, simple_loss=0.3693, pruned_loss=0.0837, over 13966.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05895, over 365.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.346, pruned_loss=0.1006, over 2778924.39 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07269, over 45708.40 utterances.], batch size: 365, lr: 1.88e-04
+2022-09-19 03:35:40,753 INFO [train.py:885] (1/2) Epoch 25, batch 4600, loss[loss=0.274, simple_loss=0.3771, pruned_loss=0.08544, over 13807.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06953, over 411.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3485, pruned_loss=0.1014, over 2779875.17 frames. utt_duration=240 frames, utt_pad_proportion=0.07391, over 46610.00 utterances.], batch size: 411, lr: 1.88e-04
+2022-09-19 03:36:10,966 INFO [train.py:885] (1/2) Epoch 25, batch 4650, loss[loss=0.2152, simple_loss=0.277, pruned_loss=0.07669, over 14043.00 frames. utt_duration=712.3 frames, utt_pad_proportion=0.05782, over 79.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3448, pruned_loss=0.09953, over 2775901.14 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07438, over 46425.09 utterances.], batch size: 79, lr: 1.88e-04
+2022-09-19 03:36:40,078 INFO [train.py:885] (1/2) Epoch 25, batch 4700, loss[loss=0.3865, simple_loss=0.4811, pruned_loss=0.1459, over 13198.00 frames. utt_duration=82.31 frames, utt_pad_proportion=0.1053, over 653.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3455, pruned_loss=0.09984, over 2778010.50 frames. utt_duration=241.4 frames, utt_pad_proportion=0.0734, over 46313.78 utterances.], batch size: 653, lr: 1.88e-04
+2022-09-19 03:37:09,910 INFO [train.py:885] (1/2) Epoch 25, batch 4750, loss[loss=0.3597, simple_loss=0.4114, pruned_loss=0.1541, over 14192.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04535, over 306.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3465, pruned_loss=0.1011, over 2778442.38 frames. utt_duration=246 frames, utt_pad_proportion=0.07248, over 45441.53 utterances.], batch size: 306, lr: 1.88e-04
+2022-09-19 03:37:38,919 INFO [train.py:885] (1/2) Epoch 25, batch 4800, loss[loss=0.1876, simple_loss=0.2572, pruned_loss=0.05904, over 13816.00 frames. utt_duration=922.5 frames, utt_pad_proportion=0.07001, over 60.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3471, pruned_loss=0.1016, over 2783257.11 frames. utt_duration=247 frames, utt_pad_proportion=0.07145, over 45342.69 utterances.], batch size: 60, lr: 1.88e-04
+2022-09-19 03:38:08,822 INFO [train.py:885] (1/2) Epoch 25, batch 4850, loss[loss=0.4791, simple_loss=0.5773, pruned_loss=0.1904, over 12554.00 frames. utt_duration=63.53 frames, utt_pad_proportion=0.1415, over 810.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3483, pruned_loss=0.1017, over 2781764.72 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07319, over 46223.29 utterances.], batch size: 810, lr: 1.88e-04
+2022-09-19 03:38:37,500 INFO [train.py:885] (1/2) Epoch 25, batch 4900, loss[loss=0.1711, simple_loss=0.2412, pruned_loss=0.0505, over 13843.00 frames. utt_duration=803.8 frames, utt_pad_proportion=0.06421, over 69.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3483, pruned_loss=0.1012, over 2787495.73 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07093, over 45756.62 utterances.], batch size: 69, lr: 1.88e-04
+2022-09-19 03:39:07,057 INFO [train.py:885] (1/2) Epoch 25, batch 4950, loss[loss=0.185, simple_loss=0.2504, pruned_loss=0.05979, over 13692.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08529, over 42.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3458, pruned_loss=0.1001, over 2788373.59 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06894, over 44614.86 utterances.], batch size: 42, lr: 1.88e-04
+2022-09-19 03:39:44,912 INFO [train.py:885] (1/2) Epoch 25, batch 5000, loss[loss=0.1734, simple_loss=0.2369, pruned_loss=0.055, over 13452.00 frames. utt_duration=1078 frames, utt_pad_proportion=0.09501, over 50.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.345, pruned_loss=0.09984, over 2786511.39 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06888, over 44714.94 utterances.], batch size: 50, lr: 1.88e-04
+2022-09-19 03:40:14,883 INFO [train.py:885] (1/2) Epoch 25, batch 5050, loss[loss=0.4547, simple_loss=0.4743, pruned_loss=0.2175, over 14234.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04303, over 335.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3481, pruned_loss=0.1009, over 2783457.14 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07192, over 46551.50 utterances.], batch size: 335, lr: 1.88e-04
+2022-09-19 03:40:44,027 INFO [train.py:885] (1/2) Epoch 25, batch 5100, loss[loss=0.2941, simple_loss=0.3711, pruned_loss=0.1085, over 14329.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.03717, over 226.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.348, pruned_loss=0.1013, over 2784891.32 frames. utt_duration=245.2 frames, utt_pad_proportion=0.06958, over 45708.62 utterances.], batch size: 226, lr: 1.88e-04
+2022-09-19 03:41:13,923 INFO [train.py:885] (1/2) Epoch 25, batch 5150, loss[loss=0.3078, simple_loss=0.3773, pruned_loss=0.1192, over 14338.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03676, over 210.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3453, pruned_loss=0.1008, over 2779418.30 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07035, over 44641.76 utterances.], batch size: 210, lr: 1.88e-04
+2022-09-19 03:41:44,656 INFO [train.py:885] (1/2) Epoch 25, batch 5200, loss[loss=0.3434, simple_loss=0.4341, pruned_loss=0.1263, over 13823.00 frames. utt_duration=136.1 frames, utt_pad_proportion=0.06814, over 411.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3434, pruned_loss=0.0991, over 2780181.09 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06865, over 44243.14 utterances.], batch size: 411, lr: 1.88e-04
+2022-09-19 03:42:13,864 INFO [train.py:885] (1/2) Epoch 25, batch 5250, loss[loss=0.2903, simple_loss=0.3604, pruned_loss=0.1101, over 14294.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04103, over 262.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3434, pruned_loss=0.09867, over 2778873.96 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07178, over 45156.44 utterances.], batch size: 262, lr: 1.88e-04
+2022-09-19 03:42:42,732 INFO [train.py:885] (1/2) Epoch 25, batch 5300, loss[loss=0.2717, simple_loss=0.3505, pruned_loss=0.09643, over 14241.00 frames. utt_duration=317.9 frames, utt_pad_proportion=0.04247, over 180.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3433, pruned_loss=0.09887, over 2777099.49 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07161, over 45392.31 utterances.], batch size: 180, lr: 1.88e-04
+2022-09-19 03:43:13,057 INFO [train.py:885] (1/2) Epoch 25, batch 5350, loss[loss=0.2554, simple_loss=0.3429, pruned_loss=0.08398, over 14289.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03971, over 180.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3423, pruned_loss=0.09841, over 2772844.66 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07276, over 45125.39 utterances.], batch size: 180, lr: 1.88e-04
+2022-09-19 03:43:42,733 INFO [train.py:885] (1/2) Epoch 25, batch 5400, loss[loss=0.2851, simple_loss=0.3622, pruned_loss=0.104, over 14368.00 frames. utt_duration=275 frames, utt_pad_proportion=0.035, over 210.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3434, pruned_loss=0.09879, over 2774771.98 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07309, over 45820.96 utterances.], batch size: 210, lr: 1.88e-04
+2022-09-19 03:44:12,745 INFO [train.py:885] (1/2) Epoch 25, batch 5450, loss[loss=0.3597, simple_loss=0.4498, pruned_loss=0.1348, over 13598.00 frames. utt_duration=98.57 frames, utt_pad_proportion=0.07876, over 560.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3441, pruned_loss=0.09906, over 2775915.33 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07281, over 46244.03 utterances.], batch size: 560, lr: 1.88e-04
+2022-09-19 03:44:41,889 INFO [train.py:885] (1/2) Epoch 25, batch 5500, loss[loss=0.1783, simple_loss=0.2577, pruned_loss=0.04941, over 13899.00 frames. utt_duration=807.4 frames, utt_pad_proportion=0.05787, over 69.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3442, pruned_loss=0.09871, over 2777649.37 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07156, over 45860.96 utterances.], batch size: 69, lr: 1.88e-04
+2022-09-19 03:45:11,153 INFO [train.py:885] (1/2) Epoch 25, batch 5550, loss[loss=0.2836, simple_loss=0.3622, pruned_loss=0.1025, over 14322.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03918, over 262.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3429, pruned_loss=0.09827, over 2777204.75 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07219, over 44762.72 utterances.], batch size: 262, lr: 1.88e-04
+2022-09-19 03:45:40,906 INFO [train.py:885] (1/2) Epoch 25, batch 5600, loss[loss=0.2595, simple_loss=0.3316, pruned_loss=0.09365, over 14251.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04557, over 141.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3434, pruned_loss=0.09798, over 2780204.07 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07064, over 44529.30 utterances.], batch size: 141, lr: 1.88e-04
+2022-09-19 03:46:10,583 INFO [train.py:885] (1/2) Epoch 25, batch 5650, loss[loss=0.1396, simple_loss=0.2102, pruned_loss=0.03453, over 13500.00 frames. utt_duration=1318 frames, utt_pad_proportion=0.07954, over 41.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3446, pruned_loss=0.09787, over 2774598.24 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07315, over 46068.26 utterances.], batch size: 41, lr: 1.88e-04
+2022-09-19 03:46:39,580 INFO [train.py:885] (1/2) Epoch 25, batch 5700, loss[loss=0.3396, simple_loss=0.4149, pruned_loss=0.1322, over 13972.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05783, over 365.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3487, pruned_loss=0.1012, over 2778624.27 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07277, over 46578.31 utterances.], batch size: 365, lr: 1.88e-04
+2022-09-19 03:47:09,501 INFO [train.py:885] (1/2) Epoch 25, batch 5750, loss[loss=0.2801, simple_loss=0.3401, pruned_loss=0.11, over 14279.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.04135, over 120.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3478, pruned_loss=0.1012, over 2777951.89 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07294, over 46163.90 utterances.], batch size: 120, lr: 1.88e-04
+2022-09-19 03:47:38,913 INFO [train.py:885] (1/2) Epoch 25, batch 5800, loss[loss=0.2407, simple_loss=0.3176, pruned_loss=0.08189, over 14383.00 frames. utt_duration=346 frames, utt_pad_proportion=0.03623, over 167.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3439, pruned_loss=0.09979, over 2779500.35 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07101, over 44946.98 utterances.], batch size: 167, lr: 1.88e-04
+2022-09-19 03:48:08,275 INFO [train.py:885] (1/2) Epoch 25, batch 5850, loss[loss=0.3572, simple_loss=0.4134, pruned_loss=0.1505, over 14280.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04123, over 262.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3429, pruned_loss=0.1, over 2783380.29 frames. utt_duration=259.1 frames, utt_pad_proportion=0.06826, over 43215.05 utterances.], batch size: 262, lr: 1.88e-04
+2022-09-19 03:48:38,116 INFO [train.py:885] (1/2) Epoch 25, batch 5900, loss[loss=0.3067, simple_loss=0.396, pruned_loss=0.1087, over 13993.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05673, over 365.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3446, pruned_loss=0.1004, over 2787134.21 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06718, over 43737.77 utterances.], batch size: 365, lr: 1.88e-04
+2022-09-19 03:49:07,443 INFO [train.py:885] (1/2) Epoch 25, batch 5950, loss[loss=0.2953, simple_loss=0.3661, pruned_loss=0.1123, over 14304.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03802, over 180.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3416, pruned_loss=0.09896, over 2787680.97 frames. utt_duration=262.8 frames, utt_pad_proportion=0.06723, over 42675.41 utterances.], batch size: 180, lr: 1.88e-04
+2022-09-19 03:49:37,108 INFO [train.py:885] (1/2) Epoch 25, batch 6000, loss[loss=0.1799, simple_loss=0.2612, pruned_loss=0.04927, over 13779.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.07728, over 51.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3422, pruned_loss=0.09846, over 2785586.27 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06904, over 43761.86 utterances.], batch size: 51, lr: 1.88e-04
+2022-09-19 03:49:37,109 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 03:49:41,280 INFO [train.py:914] (1/2) Epoch 25, validation: loss=0.1909, simple_loss=0.2711, pruned_loss=0.05533, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 03:50:11,270 INFO [train.py:885] (1/2) Epoch 25, batch 6050, loss[loss=0.3984, simple_loss=0.4905, pruned_loss=0.1532, over 13147.00 frames. utt_duration=82.15 frames, utt_pad_proportion=0.1071, over 653.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3444, pruned_loss=0.09913, over 2783802.02 frames. utt_duration=249.8 frames, utt_pad_proportion=0.06974, over 44831.52 utterances.], batch size: 653, lr: 1.88e-04
+2022-09-19 03:50:40,270 INFO [train.py:885] (1/2) Epoch 25, batch 6100, loss[loss=0.3238, simple_loss=0.402, pruned_loss=0.1228, over 13987.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05712, over 365.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3469, pruned_loss=0.1009, over 2782880.46 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07085, over 45167.44 utterances.], batch size: 365, lr: 1.88e-04
+2022-09-19 03:51:09,913 INFO [train.py:885] (1/2) Epoch 25, batch 6150, loss[loss=0.2427, simple_loss=0.3109, pruned_loss=0.0873, over 14291.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04023, over 120.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3457, pruned_loss=0.1005, over 2777354.78 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07302, over 45084.87 utterances.], batch size: 120, lr: 1.88e-04
+2022-09-19 03:51:40,008 INFO [train.py:885] (1/2) Epoch 25, batch 6200, loss[loss=0.2362, simple_loss=0.3211, pruned_loss=0.07568, over 14310.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.04043, over 154.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3481, pruned_loss=0.1005, over 2774025.37 frames. utt_duration=235.8 frames, utt_pad_proportion=0.0748, over 47358.14 utterances.], batch size: 154, lr: 1.88e-04
+2022-09-19 03:52:09,826 INFO [train.py:885] (1/2) Epoch 25, batch 6250, loss[loss=0.1555, simple_loss=0.2165, pruned_loss=0.04721, over 13736.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.08166, over 42.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3457, pruned_loss=0.1002, over 2777584.93 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07436, over 45382.03 utterances.], batch size: 42, lr: 1.88e-04
+2022-09-19 03:52:39,173 INFO [train.py:885] (1/2) Epoch 25, batch 6300, loss[loss=0.3139, simple_loss=0.3947, pruned_loss=0.1165, over 14048.00 frames. utt_duration=155.3 frames, utt_pad_proportion=0.05287, over 365.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3449, pruned_loss=0.09918, over 2780466.96 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07046, over 44430.32 utterances.], batch size: 365, lr: 1.88e-04
+2022-09-19 03:53:08,488 INFO [train.py:885] (1/2) Epoch 25, batch 6350, loss[loss=0.3769, simple_loss=0.4175, pruned_loss=0.1682, over 14269.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.0407, over 180.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3452, pruned_loss=0.1004, over 2779760.58 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07089, over 44601.20 utterances.], batch size: 180, lr: 1.88e-04
+2022-09-19 03:53:38,229 INFO [train.py:885] (1/2) Epoch 25, batch 6400, loss[loss=0.4064, simple_loss=0.4506, pruned_loss=0.1811, over 14246.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04213, over 306.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3471, pruned_loss=0.102, over 2778942.89 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07155, over 44953.01 utterances.], batch size: 306, lr: 1.88e-04
+2022-09-19 03:54:07,577 INFO [train.py:885] (1/2) Epoch 25, batch 6450, loss[loss=0.1643, simple_loss=0.224, pruned_loss=0.05227, over 13429.00 frames. utt_duration=1629 frames, utt_pad_proportion=0.0994, over 33.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3473, pruned_loss=0.1018, over 2776154.21 frames. utt_duration=245 frames, utt_pad_proportion=0.0721, over 45603.70 utterances.], batch size: 33, lr: 1.88e-04
+2022-09-19 03:54:36,803 INFO [train.py:885] (1/2) Epoch 25, batch 6500, loss[loss=0.3574, simple_loss=0.4131, pruned_loss=0.1508, over 14187.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04594, over 306.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3465, pruned_loss=0.1014, over 2778446.43 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07122, over 45420.70 utterances.], batch size: 306, lr: 1.88e-04
+2022-09-19 03:55:06,617 INFO [train.py:885] (1/2) Epoch 25, batch 6550, loss[loss=0.2972, simple_loss=0.3648, pruned_loss=0.1147, over 14321.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03839, over 283.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3469, pruned_loss=0.1016, over 2780276.16 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07115, over 45632.24 utterances.], batch size: 283, lr: 1.88e-04
+2022-09-19 03:55:36,239 INFO [train.py:885] (1/2) Epoch 25, batch 6600, loss[loss=0.239, simple_loss=0.2955, pruned_loss=0.09119, over 14125.00 frames. utt_duration=578.1 frames, utt_pad_proportion=0.05067, over 98.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3418, pruned_loss=0.09934, over 2781316.67 frames. utt_duration=261.9 frames, utt_pad_proportion=0.06826, over 42726.88 utterances.], batch size: 98, lr: 1.88e-04
+2022-09-19 03:56:05,752 INFO [train.py:885] (1/2) Epoch 25, batch 6650, loss[loss=0.1947, simple_loss=0.2744, pruned_loss=0.05755, over 14253.00 frames. utt_duration=642 frames, utt_pad_proportion=0.04464, over 89.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3433, pruned_loss=0.09954, over 2783068.07 frames. utt_duration=257.6 frames, utt_pad_proportion=0.0686, over 43455.71 utterances.], batch size: 89, lr: 1.88e-04
+2022-09-19 03:56:35,541 INFO [train.py:885] (1/2) Epoch 25, batch 6700, loss[loss=0.242, simple_loss=0.3183, pruned_loss=0.08279, over 14234.00 frames. utt_duration=523.9 frames, utt_pad_proportion=0.04049, over 109.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3415, pruned_loss=0.09809, over 2782711.17 frames. utt_duration=259.2 frames, utt_pad_proportion=0.07057, over 43190.60 utterances.], batch size: 109, lr: 1.88e-04
+2022-09-19 03:57:04,801 INFO [train.py:885] (1/2) Epoch 25, batch 6750, loss[loss=0.3882, simple_loss=0.4305, pruned_loss=0.1729, over 14255.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04146, over 335.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3464, pruned_loss=0.1007, over 2781236.07 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07067, over 45422.91 utterances.], batch size: 335, lr: 1.88e-04
+2022-09-19 03:57:34,598 INFO [train.py:885] (1/2) Epoch 25, batch 6800, loss[loss=0.2781, simple_loss=0.3784, pruned_loss=0.08896, over 13739.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07326, over 411.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3478, pruned_loss=0.1011, over 2780518.14 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07284, over 46271.36 utterances.], batch size: 411, lr: 1.88e-04
+2022-09-19 03:58:03,725 INFO [train.py:885] (1/2) Epoch 25, batch 6850, loss[loss=0.1653, simple_loss=0.2194, pruned_loss=0.05558, over 13548.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08571, over 50.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3418, pruned_loss=0.0988, over 2775613.03 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07277, over 43929.54 utterances.], batch size: 50, lr: 1.88e-04
+2022-09-19 03:58:33,471 INFO [train.py:885] (1/2) Epoch 25, batch 6900, loss[loss=0.285, simple_loss=0.3596, pruned_loss=0.1052, over 14332.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03763, over 195.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3454, pruned_loss=0.1001, over 2772980.37 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07593, over 45834.50 utterances.], batch size: 195, lr: 1.88e-04
+2022-09-19 03:59:03,299 INFO [train.py:885] (1/2) Epoch 25, batch 6950, loss[loss=0.205, simple_loss=0.2678, pruned_loss=0.07115, over 12286.00 frames. utt_duration=2049 frames, utt_pad_proportion=0.1587, over 24.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3468, pruned_loss=0.1005, over 2772845.67 frames. utt_duration=240 frames, utt_pad_proportion=0.07536, over 46503.06 utterances.], batch size: 24, lr: 1.88e-04
+2022-09-19 03:59:33,042 INFO [train.py:885] (1/2) Epoch 25, batch 7000, loss[loss=0.3374, simple_loss=0.3994, pruned_loss=0.1377, over 14333.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03853, over 262.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3486, pruned_loss=0.1015, over 2779231.99 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07406, over 46754.70 utterances.], batch size: 262, lr: 1.88e-04
+2022-09-19 04:00:02,313 INFO [train.py:885] (1/2) Epoch 25, batch 7050, loss[loss=0.1533, simple_loss=0.2133, pruned_loss=0.0467, over 13586.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.08982, over 42.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3492, pruned_loss=0.1017, over 2777474.84 frames. utt_duration=239 frames, utt_pad_proportion=0.07443, over 46769.71 utterances.], batch size: 42, lr: 1.88e-04
+2022-09-19 04:00:31,190 INFO [train.py:885] (1/2) Epoch 25, batch 7100, loss[loss=0.2639, simple_loss=0.3304, pruned_loss=0.09871, over 14312.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03934, over 120.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3482, pruned_loss=0.1015, over 2784891.47 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07144, over 45808.58 utterances.], batch size: 120, lr: 1.88e-04
+2022-09-19 04:01:00,922 INFO [train.py:885] (1/2) Epoch 25, batch 7150, loss[loss=0.3151, simple_loss=0.3741, pruned_loss=0.128, over 14349.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03665, over 195.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3488, pruned_loss=0.1015, over 2782752.92 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07119, over 46886.58 utterances.], batch size: 195, lr: 1.88e-04
+2022-09-19 04:01:29,912 INFO [train.py:885] (1/2) Epoch 25, batch 7200, loss[loss=0.201, simple_loss=0.2647, pruned_loss=0.06858, over 13982.00 frames. utt_duration=933.6 frames, utt_pad_proportion=0.05887, over 60.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3478, pruned_loss=0.1017, over 2778702.03 frames. utt_duration=243 frames, utt_pad_proportion=0.07205, over 46019.34 utterances.], batch size: 60, lr: 1.88e-04
+2022-09-19 04:01:59,598 INFO [train.py:885] (1/2) Epoch 25, batch 7250, loss[loss=0.2742, simple_loss=0.3502, pruned_loss=0.0991, over 14369.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03714, over 244.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3461, pruned_loss=0.1001, over 2776862.06 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07374, over 46195.75 utterances.], batch size: 244, lr: 1.88e-04
+2022-09-19 04:02:29,239 INFO [train.py:885] (1/2) Epoch 25, batch 7300, loss[loss=0.4326, simple_loss=0.466, pruned_loss=0.1996, over 14314.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03887, over 283.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3458, pruned_loss=0.09991, over 2777470.09 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07193, over 45791.31 utterances.], batch size: 283, lr: 1.88e-04
+2022-09-19 04:02:58,476 INFO [train.py:885] (1/2) Epoch 25, batch 7350, loss[loss=0.317, simple_loss=0.3824, pruned_loss=0.1257, over 14332.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03838, over 262.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3427, pruned_loss=0.09839, over 2777820.11 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07043, over 44632.08 utterances.], batch size: 262, lr: 1.88e-04
+2022-09-19 04:03:28,518 INFO [train.py:885] (1/2) Epoch 25, batch 7400, loss[loss=0.1706, simple_loss=0.2546, pruned_loss=0.04328, over 13226.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.09599, over 41.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3428, pruned_loss=0.09822, over 2773222.93 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07262, over 45089.90 utterances.], batch size: 41, lr: 1.88e-04
+2022-09-19 04:03:57,621 INFO [train.py:885] (1/2) Epoch 25, batch 7450, loss[loss=0.212, simple_loss=0.2738, pruned_loss=0.07508, over 12593.00 frames. utt_duration=2016 frames, utt_pad_proportion=0.1563, over 25.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3449, pruned_loss=0.09941, over 2772794.45 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07366, over 45519.43 utterances.], batch size: 25, lr: 1.88e-04
+2022-09-19 04:04:27,216 INFO [train.py:885] (1/2) Epoch 25, batch 7500, loss[loss=0.6286, simple_loss=0.6689, pruned_loss=0.2942, over 12379.00 frames. utt_duration=62.68 frames, utt_pad_proportion=0.153, over 810.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3438, pruned_loss=0.09907, over 2776467.78 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07258, over 44789.75 utterances.], batch size: 810, lr: 1.88e-04
+2022-09-19 04:04:56,812 INFO [train.py:885] (1/2) Epoch 25, batch 7550, loss[loss=0.3244, simple_loss=0.387, pruned_loss=0.1308, over 14326.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03774, over 283.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3491, pruned_loss=0.1015, over 2775913.44 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07593, over 46933.19 utterances.], batch size: 283, lr: 1.87e-04
+2022-09-19 04:05:26,036 INFO [train.py:885] (1/2) Epoch 25, batch 7600, loss[loss=0.23, simple_loss=0.3076, pruned_loss=0.0762, over 14309.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03919, over 120.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3488, pruned_loss=0.1011, over 2778087.34 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07349, over 46334.09 utterances.], batch size: 120, lr: 1.87e-04
+2022-09-19 04:05:56,150 INFO [train.py:885] (1/2) Epoch 25, batch 7650, loss[loss=0.2504, simple_loss=0.3255, pruned_loss=0.08766, over 14311.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03955, over 130.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.345, pruned_loss=0.1001, over 2773839.45 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07352, over 44783.74 utterances.], batch size: 130, lr: 1.87e-04
+2022-09-19 04:06:25,654 INFO [train.py:885] (1/2) Epoch 25, batch 7700, loss[loss=0.2926, simple_loss=0.3656, pruned_loss=0.1098, over 14310.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03877, over 195.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.344, pruned_loss=0.09991, over 2780496.98 frames. utt_duration=255.2 frames, utt_pad_proportion=0.07187, over 43843.37 utterances.], batch size: 195, lr: 1.87e-04
+2022-09-19 04:06:54,468 INFO [train.py:885] (1/2) Epoch 25, batch 7750, loss[loss=0.2557, simple_loss=0.3243, pruned_loss=0.09357, over 14291.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.03886, over 130.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3441, pruned_loss=0.09972, over 2780157.54 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07172, over 44543.90 utterances.], batch size: 130, lr: 1.87e-04
+2022-09-19 04:07:24,886 INFO [train.py:885] (1/2) Epoch 25, batch 7800, loss[loss=0.1584, simple_loss=0.2313, pruned_loss=0.04277, over 13430.00 frames. utt_duration=1311 frames, utt_pad_proportion=0.08486, over 41.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3435, pruned_loss=0.09927, over 2777986.62 frames. utt_duration=248.8 frames, utt_pad_proportion=0.0721, over 44926.71 utterances.], batch size: 41, lr: 1.87e-04
+2022-09-19 04:07:53,888 INFO [train.py:885] (1/2) Epoch 25, batch 7850, loss[loss=0.6461, simple_loss=0.7001, pruned_loss=0.296, over 12431.00 frames. utt_duration=63.01 frames, utt_pad_proportion=0.1485, over 810.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3452, pruned_loss=0.1002, over 2782452.77 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07187, over 44754.09 utterances.], batch size: 810, lr: 1.87e-04
+2022-09-19 04:08:23,024 INFO [train.py:885] (1/2) Epoch 25, batch 7900, loss[loss=0.2155, simple_loss=0.2894, pruned_loss=0.07076, over 14198.00 frames. utt_duration=639.7 frames, utt_pad_proportion=0.04807, over 89.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3468, pruned_loss=0.1005, over 2784757.29 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07123, over 45264.39 utterances.], batch size: 89, lr: 1.87e-04
+2022-09-19 04:08:52,956 INFO [train.py:885] (1/2) Epoch 25, batch 7950, loss[loss=0.2311, simple_loss=0.299, pruned_loss=0.08156, over 14066.00 frames. utt_duration=575.6 frames, utt_pad_proportion=0.05647, over 98.00 utterances.], tot_loss[loss=0.276, simple_loss=0.349, pruned_loss=0.1014, over 2784112.73 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07169, over 46547.41 utterances.], batch size: 98, lr: 1.87e-04
+2022-09-19 04:09:21,624 INFO [train.py:885] (1/2) Epoch 25, batch 8000, loss[loss=0.2489, simple_loss=0.3162, pruned_loss=0.09076, over 14312.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.04112, over 120.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3468, pruned_loss=0.1002, over 2785506.58 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07096, over 45883.29 utterances.], batch size: 120, lr: 1.87e-04
+2022-09-19 04:09:51,121 INFO [train.py:885] (1/2) Epoch 25, batch 8050, loss[loss=0.235, simple_loss=0.3117, pruned_loss=0.07918, over 14319.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04005, over 154.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3484, pruned_loss=0.1004, over 2784041.51 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07161, over 46871.43 utterances.], batch size: 154, lr: 1.87e-04
+2022-09-19 04:10:21,027 INFO [train.py:885] (1/2) Epoch 25, batch 8100, loss[loss=0.1659, simple_loss=0.2161, pruned_loss=0.05788, over 13407.00 frames. utt_duration=1074 frames, utt_pad_proportion=0.09449, over 50.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3474, pruned_loss=0.1004, over 2779792.84 frames. utt_duration=239 frames, utt_pad_proportion=0.07353, over 46815.10 utterances.], batch size: 50, lr: 1.87e-04
+2022-09-19 04:10:50,564 INFO [train.py:885] (1/2) Epoch 25, batch 8150, loss[loss=0.2915, simple_loss=0.3509, pruned_loss=0.116, over 14187.00 frames. utt_duration=522 frames, utt_pad_proportion=0.04391, over 109.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.345, pruned_loss=0.09932, over 2780300.21 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07266, over 45392.72 utterances.], batch size: 109, lr: 1.87e-04
+2022-09-19 04:11:19,670 INFO [train.py:885] (1/2) Epoch 25, batch 8200, loss[loss=0.4155, simple_loss=0.5079, pruned_loss=0.1615, over 13117.00 frames. utt_duration=81.88 frames, utt_pad_proportion=0.11, over 653.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3487, pruned_loss=0.1004, over 2783967.35 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07238, over 47124.67 utterances.], batch size: 653, lr: 1.87e-04
+2022-09-19 04:11:49,537 INFO [train.py:885] (1/2) Epoch 25, batch 8250, loss[loss=0.2374, simple_loss=0.3304, pruned_loss=0.07217, over 14388.00 frames. utt_duration=275.4 frames, utt_pad_proportion=0.0337, over 210.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3467, pruned_loss=0.09943, over 2782225.05 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07114, over 46145.56 utterances.], batch size: 210, lr: 1.87e-04
+2022-09-19 04:12:18,747 INFO [train.py:885] (1/2) Epoch 25, batch 8300, loss[loss=0.3357, simple_loss=0.4095, pruned_loss=0.131, over 13994.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05828, over 366.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.347, pruned_loss=0.09998, over 2782244.46 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07099, over 46027.94 utterances.], batch size: 366, lr: 1.87e-04
+2022-09-19 04:12:48,476 INFO [train.py:885] (1/2) Epoch 25, batch 8350, loss[loss=0.4388, simple_loss=0.47, pruned_loss=0.2037, over 14349.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03632, over 210.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3481, pruned_loss=0.1004, over 2783297.86 frames. utt_duration=240.1 frames, utt_pad_proportion=0.06996, over 46645.89 utterances.], batch size: 210, lr: 1.87e-04
+2022-09-19 04:13:17,699 INFO [train.py:885] (1/2) Epoch 25, batch 8400, loss[loss=0.2036, simple_loss=0.2639, pruned_loss=0.07169, over 13563.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.07995, over 50.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3456, pruned_loss=0.09924, over 2782784.04 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06889, over 45693.97 utterances.], batch size: 50, lr: 1.87e-04
+2022-09-19 04:13:47,382 INFO [train.py:885] (1/2) Epoch 25, batch 8450, loss[loss=0.2405, simple_loss=0.3168, pruned_loss=0.08209, over 14193.00 frames. utt_duration=404 frames, utt_pad_proportion=0.04933, over 141.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3478, pruned_loss=0.1007, over 2784173.57 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07005, over 46345.12 utterances.], batch size: 141, lr: 1.87e-04
+2022-09-19 04:14:17,086 INFO [train.py:885] (1/2) Epoch 25, batch 8500, loss[loss=0.2184, simple_loss=0.302, pruned_loss=0.06738, over 14163.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.04567, over 109.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3502, pruned_loss=0.1028, over 2784095.66 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07112, over 46845.89 utterances.], batch size: 109, lr: 1.87e-04
+2022-09-19 04:14:46,259 INFO [train.py:885] (1/2) Epoch 25, batch 8550, loss[loss=0.2624, simple_loss=0.3392, pruned_loss=0.09285, over 14303.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04111, over 154.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3473, pruned_loss=0.1019, over 2789372.71 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06823, over 44240.57 utterances.], batch size: 154, lr: 1.87e-04
+2022-09-19 04:15:16,608 INFO [train.py:885] (1/2) Epoch 25, batch 8600, loss[loss=0.2613, simple_loss=0.3452, pruned_loss=0.08869, over 14319.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.04021, over 167.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3486, pruned_loss=0.1015, over 2787554.71 frames. utt_duration=247.5 frames, utt_pad_proportion=0.0695, over 45325.98 utterances.], batch size: 167, lr: 1.87e-04
+2022-09-19 04:15:45,748 INFO [train.py:885] (1/2) Epoch 25, batch 8650, loss[loss=0.2068, simple_loss=0.2793, pruned_loss=0.06715, over 14024.00 frames. utt_duration=802.8 frames, utt_pad_proportion=0.0622, over 70.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3505, pruned_loss=0.1019, over 2789626.32 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07022, over 46538.29 utterances.], batch size: 70, lr: 1.87e-04
+2022-09-19 04:16:15,290 INFO [train.py:885] (1/2) Epoch 25, batch 8700, loss[loss=0.2318, simple_loss=0.3093, pruned_loss=0.07713, over 14320.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03684, over 130.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3464, pruned_loss=0.09979, over 2787848.30 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06892, over 44990.25 utterances.], batch size: 130, lr: 1.87e-04
+2022-09-19 04:16:44,787 INFO [train.py:885] (1/2) Epoch 25, batch 8750, loss[loss=0.1571, simple_loss=0.2323, pruned_loss=0.04101, over 14067.00 frames. utt_duration=713.7 frames, utt_pad_proportion=0.05474, over 79.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3484, pruned_loss=0.1009, over 2781972.96 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07375, over 46299.37 utterances.], batch size: 79, lr: 1.87e-04
+2022-09-19 04:17:14,587 INFO [train.py:885] (1/2) Epoch 25, batch 8800, loss[loss=0.2627, simple_loss=0.3368, pruned_loss=0.0943, over 14334.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03995, over 167.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3457, pruned_loss=0.1, over 2783343.97 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07054, over 44415.79 utterances.], batch size: 167, lr: 1.87e-04
+2022-09-19 04:17:43,787 INFO [train.py:885] (1/2) Epoch 25, batch 8850, loss[loss=0.299, simple_loss=0.3934, pruned_loss=0.1023, over 13665.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07818, over 477.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3462, pruned_loss=0.09981, over 2785931.99 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06933, over 44754.14 utterances.], batch size: 477, lr: 1.87e-04
+2022-09-19 04:18:13,692 INFO [train.py:885] (1/2) Epoch 25, batch 8900, loss[loss=0.2895, simple_loss=0.345, pruned_loss=0.117, over 14319.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.03855, over 120.00 utterances.], tot_loss[loss=0.273, simple_loss=0.346, pruned_loss=0.1, over 2790594.19 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06689, over 43649.96 utterances.], batch size: 120, lr: 1.87e-04
+2022-09-19 04:18:42,916 INFO [train.py:885] (1/2) Epoch 25, batch 8950, loss[loss=0.1824, simple_loss=0.2547, pruned_loss=0.05509, over 13232.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1055, over 33.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3469, pruned_loss=0.1006, over 2791579.02 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06612, over 44155.03 utterances.], batch size: 33, lr: 1.87e-04
+2022-09-19 04:19:12,916 INFO [train.py:885] (1/2) Epoch 25, batch 9000, loss[loss=0.1608, simple_loss=0.229, pruned_loss=0.04631, over 13556.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08825, over 50.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3459, pruned_loss=0.1002, over 2790019.41 frames. utt_duration=254.2 frames, utt_pad_proportion=0.067, over 44161.69 utterances.], batch size: 50, lr: 1.87e-04
+2022-09-19 04:19:12,917 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 04:19:17,514 INFO [train.py:914] (1/2) Epoch 25, validation: loss=0.1981, simple_loss=0.2778, pruned_loss=0.05918, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 04:19:45,979 INFO [train.py:885] (1/2) Epoch 25, batch 9050, loss[loss=0.3261, simple_loss=0.3966, pruned_loss=0.1277, over 14345.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03694, over 283.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3462, pruned_loss=0.09982, over 2790660.27 frames. utt_duration=252 frames, utt_pad_proportion=0.06792, over 44553.79 utterances.], batch size: 283, lr: 1.87e-04
+2022-09-19 04:20:15,769 INFO [train.py:885] (1/2) Epoch 25, batch 9100, loss[loss=0.3317, simple_loss=0.3942, pruned_loss=0.1346, over 14357.00 frames. utt_duration=204.4 frames, utt_pad_proportion=0.03605, over 283.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3497, pruned_loss=0.1009, over 2787446.38 frames. utt_duration=240.2 frames, utt_pad_proportion=0.06967, over 46713.87 utterances.], batch size: 283, lr: 1.87e-04
+2022-09-19 04:20:46,302 INFO [train.py:885] (1/2) Epoch 25, batch 9150, loss[loss=0.3076, simple_loss=0.4119, pruned_loss=0.1016, over 13661.00 frames. utt_duration=98.92 frames, utt_pad_proportion=0.07553, over 560.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3512, pruned_loss=0.1015, over 2779537.44 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07302, over 47695.28 utterances.], batch size: 560, lr: 1.87e-04
+2022-09-19 04:21:15,785 INFO [train.py:885] (1/2) Epoch 25, batch 9200, loss[loss=0.3076, simple_loss=0.4142, pruned_loss=0.1005, over 13632.00 frames. utt_duration=98.76 frames, utt_pad_proportion=0.077, over 560.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3464, pruned_loss=0.09928, over 2785696.16 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06997, over 45530.95 utterances.], batch size: 560, lr: 1.87e-04
+2022-09-19 04:21:45,891 INFO [train.py:885] (1/2) Epoch 25, batch 9250, loss[loss=0.2567, simple_loss=0.3403, pruned_loss=0.08651, over 14277.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04011, over 180.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3476, pruned_loss=0.1001, over 2790447.25 frames. utt_duration=245.7 frames, utt_pad_proportion=0.06913, over 45695.54 utterances.], batch size: 180, lr: 1.87e-04
+2022-09-19 04:22:15,315 INFO [train.py:885] (1/2) Epoch 25, batch 9300, loss[loss=0.2814, simple_loss=0.3612, pruned_loss=0.1008, over 14355.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03554, over 210.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3472, pruned_loss=0.09974, over 2783623.05 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07325, over 46378.13 utterances.], batch size: 210, lr: 1.87e-04
+2022-09-19 04:22:44,745 INFO [train.py:885] (1/2) Epoch 25, batch 9350, loss[loss=0.21, simple_loss=0.2641, pruned_loss=0.07791, over 13525.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08642, over 50.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.346, pruned_loss=0.09928, over 2781148.36 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07252, over 45833.37 utterances.], batch size: 50, lr: 1.87e-04
+2022-09-19 04:23:14,347 INFO [train.py:885] (1/2) Epoch 25, batch 9400, loss[loss=0.1561, simple_loss=0.2281, pruned_loss=0.04199, over 13385.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.08562, over 41.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3466, pruned_loss=0.09947, over 2779638.11 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07364, over 46078.76 utterances.], batch size: 41, lr: 1.87e-04
+2022-09-19 04:23:43,856 INFO [train.py:885] (1/2) Epoch 25, batch 9450, loss[loss=0.1692, simple_loss=0.2321, pruned_loss=0.05317, over 13304.00 frames. utt_duration=1299 frames, utt_pad_proportion=0.09259, over 41.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3482, pruned_loss=0.1001, over 2779153.72 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07414, over 47065.69 utterances.], batch size: 41, lr: 1.87e-04
+2022-09-19 04:24:12,854 INFO [train.py:885] (1/2) Epoch 25, batch 9500, loss[loss=0.5288, simple_loss=0.612, pruned_loss=0.2228, over 12542.00 frames. utt_duration=63.47 frames, utt_pad_proportion=0.1423, over 810.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3452, pruned_loss=0.09905, over 2779216.17 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07362, over 45566.83 utterances.], batch size: 810, lr: 1.87e-04
+2022-09-19 04:24:42,761 INFO [train.py:885] (1/2) Epoch 25, batch 9550, loss[loss=0.2041, simple_loss=0.2744, pruned_loss=0.06691, over 14246.00 frames. utt_duration=641.6 frames, utt_pad_proportion=0.04377, over 89.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3484, pruned_loss=0.1013, over 2779041.44 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07376, over 46834.26 utterances.], batch size: 89, lr: 1.87e-04
+2022-09-19 04:25:12,346 INFO [train.py:885] (1/2) Epoch 25, batch 9600, loss[loss=0.3099, simple_loss=0.3753, pruned_loss=0.1223, over 14337.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.03742, over 195.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.347, pruned_loss=0.1004, over 2780039.34 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07294, over 46595.90 utterances.], batch size: 195, lr: 1.87e-04
+2022-09-19 04:25:41,435 INFO [train.py:885] (1/2) Epoch 25, batch 9650, loss[loss=0.3087, simple_loss=0.4032, pruned_loss=0.1071, over 13778.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07076, over 411.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3478, pruned_loss=0.1009, over 2780401.00 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07316, over 47074.38 utterances.], batch size: 411, lr: 1.87e-04
+2022-09-19 04:26:10,769 INFO [train.py:885] (1/2) Epoch 25, batch 9700, loss[loss=0.649, simple_loss=0.6978, pruned_loss=0.3001, over 12554.00 frames. utt_duration=63.49 frames, utt_pad_proportion=0.1421, over 810.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3488, pruned_loss=0.1005, over 2778360.02 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07519, over 47528.04 utterances.], batch size: 810, lr: 1.87e-04
+2022-09-19 04:26:40,719 INFO [train.py:885] (1/2) Epoch 25, batch 9750, loss[loss=0.1499, simple_loss=0.2222, pruned_loss=0.03881, over 13406.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08408, over 41.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3493, pruned_loss=0.1021, over 2782587.28 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07278, over 46608.29 utterances.], batch size: 41, lr: 1.87e-04
+2022-09-19 04:27:09,665 INFO [train.py:885] (1/2) Epoch 25, batch 9800, loss[loss=0.3114, simple_loss=0.3725, pruned_loss=0.1251, over 14297.00 frames. utt_duration=294.6 frames, utt_pad_proportion=0.04027, over 195.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3482, pruned_loss=0.1018, over 2784626.97 frames. utt_duration=246 frames, utt_pad_proportion=0.07193, over 45551.97 utterances.], batch size: 195, lr: 1.87e-04
+2022-09-19 04:27:39,382 INFO [train.py:885] (1/2) Epoch 25, batch 9850, loss[loss=0.2708, simple_loss=0.3456, pruned_loss=0.09803, over 14315.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03874, over 283.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3475, pruned_loss=0.1007, over 2783831.02 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07077, over 45556.27 utterances.], batch size: 283, lr: 1.87e-04
+2022-09-19 04:28:08,749 INFO [train.py:885] (1/2) Epoch 25, batch 9900, loss[loss=0.3651, simple_loss=0.4537, pruned_loss=0.1382, over 13622.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.07739, over 560.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3486, pruned_loss=0.1017, over 2780975.40 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07215, over 46584.99 utterances.], batch size: 560, lr: 1.87e-04
+2022-09-19 04:28:38,806 INFO [train.py:885] (1/2) Epoch 25, batch 9950, loss[loss=0.2734, simple_loss=0.3511, pruned_loss=0.09786, over 14298.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03859, over 180.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3495, pruned_loss=0.1021, over 2786816.82 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07102, over 46279.42 utterances.], batch size: 180, lr: 1.87e-04
+2022-09-19 04:29:08,592 INFO [train.py:885] (1/2) Epoch 25, batch 10000, loss[loss=0.3559, simple_loss=0.4119, pruned_loss=0.1499, over 14348.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03692, over 283.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3484, pruned_loss=0.1012, over 2786123.28 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07037, over 45729.22 utterances.], batch size: 283, lr: 1.87e-04
+2022-09-19 04:29:45,113 INFO [train.py:885] (1/2) Epoch 25, batch 10050, loss[loss=0.4665, simple_loss=0.5663, pruned_loss=0.1833, over 12464.00 frames. utt_duration=63.13 frames, utt_pad_proportion=0.1469, over 810.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3494, pruned_loss=0.1017, over 2782505.43 frames. utt_duration=243.2 frames, utt_pad_proportion=0.0709, over 46042.77 utterances.], batch size: 810, lr: 1.87e-04
+2022-09-19 04:30:14,881 INFO [train.py:885] (1/2) Epoch 25, batch 10100, loss[loss=0.2647, simple_loss=0.346, pruned_loss=0.09168, over 14278.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03969, over 180.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3517, pruned_loss=0.1024, over 2775821.52 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07439, over 47503.57 utterances.], batch size: 180, lr: 1.87e-04
+2022-09-19 04:30:43,950 INFO [train.py:885] (1/2) Epoch 25, batch 10150, loss[loss=0.1804, simple_loss=0.2509, pruned_loss=0.05497, over 13626.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.07818, over 50.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3468, pruned_loss=0.09974, over 2775779.02 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07454, over 45611.14 utterances.], batch size: 50, lr: 1.87e-04
+2022-09-19 04:31:13,696 INFO [train.py:885] (1/2) Epoch 25, batch 10200, loss[loss=0.343, simple_loss=0.4396, pruned_loss=0.1232, over 13608.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08203, over 477.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3459, pruned_loss=0.09981, over 2777102.73 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07368, over 44759.77 utterances.], batch size: 477, lr: 1.87e-04
+2022-09-19 04:31:43,631 INFO [train.py:885] (1/2) Epoch 25, batch 10250, loss[loss=0.3791, simple_loss=0.4608, pruned_loss=0.1487, over 13648.00 frames. utt_duration=98.87 frames, utt_pad_proportion=0.07597, over 560.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3437, pruned_loss=0.09895, over 2775213.37 frames. utt_duration=257.1 frames, utt_pad_proportion=0.07299, over 43429.89 utterances.], batch size: 560, lr: 1.87e-04
+2022-09-19 04:32:12,696 INFO [train.py:885] (1/2) Epoch 25, batch 10300, loss[loss=0.1746, simple_loss=0.2387, pruned_loss=0.05525, over 12862.00 frames. utt_duration=1980 frames, utt_pad_proportion=0.131, over 26.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.346, pruned_loss=0.1009, over 2781814.47 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07088, over 43809.28 utterances.], batch size: 26, lr: 1.87e-04
+2022-09-19 04:32:43,006 INFO [train.py:885] (1/2) Epoch 25, batch 10350, loss[loss=0.255, simple_loss=0.3431, pruned_loss=0.08345, over 14352.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03649, over 210.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3471, pruned_loss=0.1011, over 2781122.23 frames. utt_duration=248 frames, utt_pad_proportion=0.07181, over 45119.42 utterances.], batch size: 210, lr: 1.87e-04
+2022-09-19 04:33:12,710 INFO [train.py:885] (1/2) Epoch 25, batch 10400, loss[loss=0.292, simple_loss=0.3983, pruned_loss=0.0929, over 13654.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07998, over 477.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3503, pruned_loss=0.1026, over 2783743.17 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07214, over 46473.85 utterances.], batch size: 477, lr: 1.87e-04
+2022-09-19 04:33:42,099 INFO [train.py:885] (1/2) Epoch 25, batch 10450, loss[loss=0.2267, simple_loss=0.3077, pruned_loss=0.07289, over 14321.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.03852, over 120.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3458, pruned_loss=0.1015, over 2786075.15 frames. utt_duration=256 frames, utt_pad_proportion=0.06971, over 43789.08 utterances.], batch size: 120, lr: 1.87e-04
+2022-09-19 04:34:11,814 INFO [train.py:885] (1/2) Epoch 25, batch 10500, loss[loss=0.1994, simple_loss=0.2659, pruned_loss=0.06642, over 14096.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05273, over 98.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3435, pruned_loss=0.09992, over 2782376.12 frames. utt_duration=258.1 frames, utt_pad_proportion=0.07034, over 43377.46 utterances.], batch size: 98, lr: 1.87e-04
+2022-09-19 04:34:41,324 INFO [train.py:885] (1/2) Epoch 25, batch 10550, loss[loss=0.3477, simple_loss=0.4332, pruned_loss=0.1311, over 13651.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08119, over 478.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3467, pruned_loss=0.1013, over 2784702.00 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06894, over 44527.41 utterances.], batch size: 478, lr: 1.87e-04
+2022-09-19 04:35:10,680 INFO [train.py:885] (1/2) Epoch 25, batch 10600, loss[loss=0.3909, simple_loss=0.4332, pruned_loss=0.1743, over 14168.00 frames. utt_duration=186.8 frames, utt_pad_proportion=0.04699, over 306.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.344, pruned_loss=0.1002, over 2785035.29 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06699, over 43355.08 utterances.], batch size: 306, lr: 1.87e-04
+2022-09-19 04:35:40,709 INFO [train.py:885] (1/2) Epoch 25, batch 10650, loss[loss=0.2809, simple_loss=0.334, pruned_loss=0.1139, over 13912.00 frames. utt_duration=807.9 frames, utt_pad_proportion=0.05946, over 69.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3422, pruned_loss=0.09927, over 2782615.84 frames. utt_duration=262.1 frames, utt_pad_proportion=0.06858, over 42705.80 utterances.], batch size: 69, lr: 1.87e-04
+2022-09-19 04:36:09,835 INFO [train.py:885] (1/2) Epoch 25, batch 10700, loss[loss=0.322, simple_loss=0.3868, pruned_loss=0.1286, over 14384.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03187, over 244.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.345, pruned_loss=0.1004, over 2783800.57 frames. utt_duration=255.6 frames, utt_pad_proportion=0.0695, over 43818.72 utterances.], batch size: 244, lr: 1.87e-04
+2022-09-19 04:36:39,270 INFO [train.py:885] (1/2) Epoch 25, batch 10750, loss[loss=0.177, simple_loss=0.2529, pruned_loss=0.05054, over 13836.00 frames. utt_duration=803.8 frames, utt_pad_proportion=0.06428, over 69.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3466, pruned_loss=0.1006, over 2783002.45 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07109, over 45128.58 utterances.], batch size: 69, lr: 1.87e-04
+2022-09-19 04:37:08,683 INFO [train.py:885] (1/2) Epoch 25, batch 10800, loss[loss=0.1622, simple_loss=0.2379, pruned_loss=0.04326, over 13231.00 frames. utt_duration=1292 frames, utt_pad_proportion=0.09563, over 41.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3465, pruned_loss=0.101, over 2779091.00 frames. utt_duration=250.7 frames, utt_pad_proportion=0.0712, over 44613.50 utterances.], batch size: 41, lr: 1.87e-04
+2022-09-19 04:37:38,423 INFO [train.py:885] (1/2) Epoch 25, batch 10850, loss[loss=0.3499, simple_loss=0.4115, pruned_loss=0.1441, over 14330.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03805, over 283.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3477, pruned_loss=0.1017, over 2782216.54 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07016, over 44702.79 utterances.], batch size: 283, lr: 1.87e-04
+2022-09-19 04:38:08,516 INFO [train.py:885] (1/2) Epoch 25, batch 10900, loss[loss=0.2564, simple_loss=0.3427, pruned_loss=0.08503, over 14387.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03202, over 244.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3501, pruned_loss=0.1031, over 2781643.49 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07076, over 45859.12 utterances.], batch size: 244, lr: 1.86e-04
+2022-09-19 04:38:37,831 INFO [train.py:885] (1/2) Epoch 25, batch 10950, loss[loss=0.2819, simple_loss=0.3541, pruned_loss=0.1049, over 14368.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03513, over 195.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3504, pruned_loss=0.1023, over 2779119.70 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07199, over 47084.82 utterances.], batch size: 195, lr: 1.86e-04
+2022-09-19 04:39:07,514 INFO [train.py:885] (1/2) Epoch 25, batch 11000, loss[loss=0.3506, simple_loss=0.4051, pruned_loss=0.1481, over 14315.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03935, over 262.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3479, pruned_loss=0.1009, over 2780474.11 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07066, over 46122.92 utterances.], batch size: 262, lr: 1.86e-04
+2022-09-19 04:39:36,778 INFO [train.py:885] (1/2) Epoch 25, batch 11050, loss[loss=0.1761, simple_loss=0.2507, pruned_loss=0.05078, over 13447.00 frames. utt_duration=1282 frames, utt_pad_proportion=0.1021, over 42.00 utterances.], tot_loss[loss=0.274, simple_loss=0.347, pruned_loss=0.1005, over 2783192.62 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06911, over 44752.88 utterances.], batch size: 42, lr: 1.86e-04
+2022-09-19 04:40:06,888 INFO [train.py:885] (1/2) Epoch 25, batch 11100, loss[loss=0.2416, simple_loss=0.3031, pruned_loss=0.09005, over 14332.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03802, over 120.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3503, pruned_loss=0.1015, over 2780811.43 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07098, over 46512.40 utterances.], batch size: 120, lr: 1.86e-04
+2022-09-19 04:40:35,388 INFO [train.py:885] (1/2) Epoch 25, batch 11150, loss[loss=0.2535, simple_loss=0.3368, pruned_loss=0.08504, over 14364.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03536, over 210.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3517, pruned_loss=0.1026, over 2781629.22 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07084, over 46544.92 utterances.], batch size: 210, lr: 1.86e-04
+2022-09-19 04:41:05,400 INFO [train.py:885] (1/2) Epoch 25, batch 11200, loss[loss=0.3248, simple_loss=0.4331, pruned_loss=0.1083, over 13081.00 frames. utt_duration=81.76 frames, utt_pad_proportion=0.1113, over 653.00 utterances.], tot_loss[loss=0.2779, simple_loss=0.3512, pruned_loss=0.1023, over 2779172.10 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07129, over 47360.50 utterances.], batch size: 653, lr: 1.86e-04
+2022-09-19 04:41:35,134 INFO [train.py:885] (1/2) Epoch 25, batch 11250, loss[loss=0.1377, simple_loss=0.1954, pruned_loss=0.04003, over 12414.00 frames. utt_duration=2070 frames, utt_pad_proportion=0.1512, over 24.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3488, pruned_loss=0.1019, over 2774080.57 frames. utt_duration=238 frames, utt_pad_proportion=0.07279, over 46915.43 utterances.], batch size: 24, lr: 1.86e-04
+2022-09-19 04:42:04,232 INFO [train.py:885] (1/2) Epoch 25, batch 11300, loss[loss=0.2373, simple_loss=0.3244, pruned_loss=0.07508, over 14270.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04421, over 141.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.347, pruned_loss=0.1014, over 2780026.53 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07018, over 45015.25 utterances.], batch size: 141, lr: 1.86e-04
+2022-09-19 04:42:34,291 INFO [train.py:885] (1/2) Epoch 25, batch 11350, loss[loss=0.4145, simple_loss=0.4491, pruned_loss=0.19, over 14220.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04391, over 335.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3423, pruned_loss=0.09883, over 2783676.90 frames. utt_duration=261 frames, utt_pad_proportion=0.06723, over 42902.11 utterances.], batch size: 335, lr: 1.86e-04
+2022-09-19 04:43:04,133 INFO [train.py:885] (1/2) Epoch 25, batch 11400, loss[loss=0.3289, simple_loss=0.4187, pruned_loss=0.1196, over 13647.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08005, over 477.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.346, pruned_loss=0.1009, over 2780974.73 frames. utt_duration=252 frames, utt_pad_proportion=0.06909, over 44395.98 utterances.], batch size: 477, lr: 1.86e-04
+2022-09-19 04:43:33,953 INFO [train.py:885] (1/2) Epoch 25, batch 11450, loss[loss=0.308, simple_loss=0.3614, pruned_loss=0.1273, over 14266.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04053, over 180.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3452, pruned_loss=0.1002, over 2779812.40 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06922, over 44266.52 utterances.], batch size: 180, lr: 1.86e-04
+2022-09-19 04:44:03,157 INFO [train.py:885] (1/2) Epoch 25, batch 11500, loss[loss=0.2025, simple_loss=0.2782, pruned_loss=0.06338, over 14039.00 frames. utt_duration=712.6 frames, utt_pad_proportion=0.05369, over 79.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3454, pruned_loss=0.1005, over 2785236.18 frames. utt_duration=253 frames, utt_pad_proportion=0.06768, over 44289.79 utterances.], batch size: 79, lr: 1.86e-04
+2022-09-19 04:44:33,128 INFO [train.py:885] (1/2) Epoch 25, batch 11550, loss[loss=0.2383, simple_loss=0.3137, pruned_loss=0.08146, over 14362.00 frames. utt_duration=480.1 frames, utt_pad_proportion=0.03588, over 120.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3475, pruned_loss=0.1009, over 2781475.87 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07117, over 46364.77 utterances.], batch size: 120, lr: 1.86e-04
+2022-09-19 04:45:02,633 INFO [train.py:885] (1/2) Epoch 25, batch 11600, loss[loss=0.3687, simple_loss=0.4524, pruned_loss=0.1425, over 13644.00 frames. utt_duration=98.87 frames, utt_pad_proportion=0.07597, over 560.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3509, pruned_loss=0.1023, over 2782083.43 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07225, over 47777.36 utterances.], batch size: 560, lr: 1.86e-04
+2022-09-19 04:45:31,895 INFO [train.py:885] (1/2) Epoch 25, batch 11650, loss[loss=0.3106, simple_loss=0.3804, pruned_loss=0.1204, over 14344.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.03652, over 226.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3446, pruned_loss=0.09949, over 2784567.61 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06943, over 44613.33 utterances.], batch size: 226, lr: 1.86e-04
+2022-09-19 04:46:01,363 INFO [train.py:885] (1/2) Epoch 25, batch 11700, loss[loss=0.2039, simple_loss=0.2748, pruned_loss=0.06644, over 14096.00 frames. utt_duration=576.8 frames, utt_pad_proportion=0.04969, over 98.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3468, pruned_loss=0.1002, over 2783032.81 frames. utt_duration=246.7 frames, utt_pad_proportion=0.0708, over 45386.29 utterances.], batch size: 98, lr: 1.86e-04
+2022-09-19 04:46:31,102 INFO [train.py:885] (1/2) Epoch 25, batch 11750, loss[loss=0.1821, simple_loss=0.2652, pruned_loss=0.04952, over 14002.00 frames. utt_duration=710.5 frames, utt_pad_proportion=0.059, over 79.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.347, pruned_loss=0.1014, over 2780093.73 frames. utt_duration=249 frames, utt_pad_proportion=0.0704, over 44929.96 utterances.], batch size: 79, lr: 1.86e-04
+2022-09-19 04:46:59,982 INFO [train.py:885] (1/2) Epoch 25, batch 11800, loss[loss=0.2653, simple_loss=0.3201, pruned_loss=0.1052, over 14278.00 frames. utt_duration=643.3 frames, utt_pad_proportion=0.03981, over 89.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.346, pruned_loss=0.1006, over 2783542.22 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06944, over 44304.83 utterances.], batch size: 89, lr: 1.86e-04
+2022-09-19 04:47:29,688 INFO [train.py:885] (1/2) Epoch 25, batch 11850, loss[loss=0.2771, simple_loss=0.3597, pruned_loss=0.09727, over 14362.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03537, over 210.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3456, pruned_loss=0.1006, over 2781557.68 frames. utt_duration=254 frames, utt_pad_proportion=0.07086, over 44065.90 utterances.], batch size: 210, lr: 1.86e-04
+2022-09-19 04:47:59,467 INFO [train.py:885] (1/2) Epoch 25, batch 11900, loss[loss=0.1278, simple_loss=0.193, pruned_loss=0.03131, over 13327.00 frames. utt_duration=1617 frames, utt_pad_proportion=0.1063, over 33.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3443, pruned_loss=0.09941, over 2779924.79 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07096, over 44630.85 utterances.], batch size: 33, lr: 1.86e-04
+2022-09-19 04:48:29,226 INFO [train.py:885] (1/2) Epoch 25, batch 11950, loss[loss=0.2126, simple_loss=0.2924, pruned_loss=0.06638, over 14114.00 frames. utt_duration=519.4 frames, utt_pad_proportion=0.04864, over 109.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3443, pruned_loss=0.09937, over 2775779.21 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07302, over 44656.41 utterances.], batch size: 109, lr: 1.86e-04
+2022-09-19 04:48:58,711 INFO [train.py:885] (1/2) Epoch 25, batch 12000, loss[loss=0.354, simple_loss=0.4583, pruned_loss=0.1249, over 13192.00 frames. utt_duration=82.31 frames, utt_pad_proportion=0.1053, over 653.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3461, pruned_loss=0.09994, over 2777754.97 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07312, over 45449.64 utterances.], batch size: 653, lr: 1.86e-04
+2022-09-19 04:48:58,712 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 04:49:02,870 INFO [train.py:914] (1/2) Epoch 25, validation: loss=0.1883, simple_loss=0.2693, pruned_loss=0.05364, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 04:49:40,353 INFO [train.py:885] (1/2) Epoch 25, batch 12050, loss[loss=0.4217, simple_loss=0.536, pruned_loss=0.1537, over 12409.00 frames. utt_duration=62.79 frames, utt_pad_proportion=0.1514, over 811.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3499, pruned_loss=0.1029, over 2773068.68 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07707, over 46774.72 utterances.], batch size: 811, lr: 1.86e-04
+2022-09-19 04:50:09,794 INFO [train.py:885] (1/2) Epoch 25, batch 12100, loss[loss=0.3201, simple_loss=0.3917, pruned_loss=0.1243, over 14389.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.0312, over 244.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3516, pruned_loss=0.1038, over 2778257.06 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07501, over 47040.31 utterances.], batch size: 244, lr: 1.86e-04
+2022-09-19 04:50:39,545 INFO [train.py:885] (1/2) Epoch 25, batch 12150, loss[loss=0.3394, simple_loss=0.4047, pruned_loss=0.1371, over 14302.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03917, over 195.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3527, pruned_loss=0.1038, over 2778802.56 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07552, over 47702.09 utterances.], batch size: 195, lr: 1.86e-04
+2022-09-19 04:51:08,679 INFO [train.py:885] (1/2) Epoch 25, batch 12200, loss[loss=0.3542, simple_loss=0.427, pruned_loss=0.1407, over 13948.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.05959, over 365.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3523, pruned_loss=0.1035, over 2783586.29 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07362, over 47303.52 utterances.], batch size: 365, lr: 1.86e-04
+2022-09-19 04:51:38,821 INFO [train.py:885] (1/2) Epoch 25, batch 12250, loss[loss=0.2733, simple_loss=0.3583, pruned_loss=0.0942, over 14306.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03982, over 262.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.352, pruned_loss=0.1031, over 2779406.20 frames. utt_duration=234.5 frames, utt_pad_proportion=0.07392, over 47715.98 utterances.], batch size: 262, lr: 1.86e-04
+2022-09-19 04:52:07,594 INFO [train.py:885] (1/2) Epoch 25, batch 12300, loss[loss=0.2731, simple_loss=0.3518, pruned_loss=0.09717, over 14316.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04011, over 154.00 utterances.], tot_loss[loss=0.2821, simple_loss=0.3548, pruned_loss=0.1047, over 2781981.22 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07543, over 48336.53 utterances.], batch size: 154, lr: 1.86e-04
+2022-09-19 04:52:37,328 INFO [train.py:885] (1/2) Epoch 25, batch 12350, loss[loss=0.2026, simple_loss=0.281, pruned_loss=0.06208, over 14064.00 frames. utt_duration=713.4 frames, utt_pad_proportion=0.05629, over 79.00 utterances.], tot_loss[loss=0.2812, simple_loss=0.3541, pruned_loss=0.1041, over 2785931.12 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07473, over 47674.71 utterances.], batch size: 79, lr: 1.86e-04
+2022-09-19 04:53:06,068 INFO [train.py:885] (1/2) Epoch 25, batch 12400, loss[loss=0.2002, simple_loss=0.2783, pruned_loss=0.06108, over 14077.00 frames. utt_duration=714.4 frames, utt_pad_proportion=0.05509, over 79.00 utterances.], tot_loss[loss=0.2792, simple_loss=0.3521, pruned_loss=0.1032, over 2787315.75 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07362, over 46722.69 utterances.], batch size: 79, lr: 1.86e-04
+2022-09-19 04:53:36,180 INFO [train.py:885] (1/2) Epoch 25, batch 12450, loss[loss=0.3857, simple_loss=0.4318, pruned_loss=0.1698, over 14230.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0432, over 306.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3515, pruned_loss=0.1027, over 2780474.25 frames. utt_duration=237 frames, utt_pad_proportion=0.07623, over 47229.21 utterances.], batch size: 306, lr: 1.86e-04
+2022-09-19 04:54:05,940 INFO [train.py:885] (1/2) Epoch 25, batch 12500, loss[loss=0.2941, simple_loss=0.3632, pruned_loss=0.1125, over 14235.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04443, over 141.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3496, pruned_loss=0.1024, over 2782639.51 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07386, over 46340.18 utterances.], batch size: 141, lr: 1.86e-04
+2022-09-19 04:54:35,029 INFO [train.py:885] (1/2) Epoch 25, batch 12550, loss[loss=0.2858, simple_loss=0.3773, pruned_loss=0.09709, over 14005.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.0552, over 365.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3517, pruned_loss=0.1032, over 2781118.84 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07472, over 47281.79 utterances.], batch size: 365, lr: 1.86e-04
+2022-09-19 04:55:03,226 INFO [train.py:885] (1/2) Epoch 25, batch 12600, loss[loss=0.1481, simple_loss=0.2242, pruned_loss=0.03604, over 13364.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.0879, over 41.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3501, pruned_loss=0.1023, over 2788203.10 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07197, over 46310.74 utterances.], batch size: 41, lr: 1.86e-04
+2022-09-19 04:55:21,116 INFO [train.py:885] (1/2) Epoch 26, batch 0, loss[loss=0.2447, simple_loss=0.2842, pruned_loss=0.1026, over 13830.00 frames. utt_duration=923.3 frames, utt_pad_proportion=0.07296, over 60.00 utterances.], tot_loss[loss=0.2447, simple_loss=0.2842, pruned_loss=0.1026, over 13830.00 frames. utt_duration=923.3 frames, utt_pad_proportion=0.07296, over 60.00 utterances.], batch size: 60, lr: 1.82e-04
+2022-09-19 04:55:50,390 INFO [train.py:885] (1/2) Epoch 26, batch 50, loss[loss=0.2558, simple_loss=0.3434, pruned_loss=0.08405, over 14296.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03911, over 180.00 utterances.], tot_loss[loss=0.2622, simple_loss=0.3363, pruned_loss=0.09407, over 628873.93 frames. utt_duration=262.5 frames, utt_pad_proportion=0.06737, over 9635.07 utterances.], batch size: 180, lr: 1.82e-04
+2022-09-19 04:56:20,373 INFO [train.py:885] (1/2) Epoch 26, batch 100, loss[loss=0.2809, simple_loss=0.3634, pruned_loss=0.09916, over 14379.00 frames. utt_duration=237.3 frames, utt_pad_proportion=0.03162, over 244.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3431, pruned_loss=0.09633, over 1100572.82 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07664, over 19043.80 utterances.], batch size: 244, lr: 1.82e-04
+2022-09-19 04:56:50,030 INFO [train.py:885] (1/2) Epoch 26, batch 150, loss[loss=0.2864, simple_loss=0.3501, pruned_loss=0.1114, over 14268.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.04107, over 154.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.348, pruned_loss=0.09961, over 1472153.47 frames. utt_duration=227.6 frames, utt_pad_proportion=0.07824, over 26047.60 utterances.], batch size: 154, lr: 1.82e-04
+2022-09-19 04:57:19,826 INFO [train.py:885] (1/2) Epoch 26, batch 200, loss[loss=0.4802, simple_loss=0.5747, pruned_loss=0.1928, over 12439.00 frames. utt_duration=63.03 frames, utt_pad_proportion=0.1482, over 810.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3442, pruned_loss=0.09831, over 1763471.46 frames. utt_duration=241 frames, utt_pad_proportion=0.07539, over 29449.44 utterances.], batch size: 810, lr: 1.82e-04
+2022-09-19 04:57:48,736 INFO [train.py:885] (1/2) Epoch 26, batch 250, loss[loss=0.6244, simple_loss=0.667, pruned_loss=0.2909, over 12456.00 frames. utt_duration=62.99 frames, utt_pad_proportion=0.1488, over 811.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3461, pruned_loss=0.1003, over 1992890.63 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07331, over 33045.00 utterances.], batch size: 811, lr: 1.82e-04
+2022-09-19 04:58:18,455 INFO [train.py:885] (1/2) Epoch 26, batch 300, loss[loss=0.2681, simple_loss=0.3489, pruned_loss=0.09368, over 14318.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03796, over 210.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3472, pruned_loss=0.1006, over 2167869.75 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07178, over 35652.81 utterances.], batch size: 210, lr: 1.82e-04
+2022-09-19 04:58:47,518 INFO [train.py:885] (1/2) Epoch 26, batch 350, loss[loss=0.3627, simple_loss=0.4119, pruned_loss=0.1567, over 14204.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.0447, over 306.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.345, pruned_loss=0.09877, over 2305856.82 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07017, over 37486.97 utterances.], batch size: 306, lr: 1.82e-04
+2022-09-19 04:59:17,003 INFO [train.py:885] (1/2) Epoch 26, batch 400, loss[loss=0.2901, simple_loss=0.3571, pruned_loss=0.1115, over 14250.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04319, over 141.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3501, pruned_loss=0.1023, over 2412619.70 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07077, over 40152.46 utterances.], batch size: 141, lr: 1.82e-04
+2022-09-19 04:59:46,819 INFO [train.py:885] (1/2) Epoch 26, batch 450, loss[loss=0.1533, simple_loss=0.2321, pruned_loss=0.03727, over 13634.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.08217, over 50.00 utterances.], tot_loss[loss=0.278, simple_loss=0.351, pruned_loss=0.1025, over 2498146.07 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07076, over 41841.73 utterances.], batch size: 50, lr: 1.82e-04
+2022-09-19 05:00:16,132 INFO [train.py:885] (1/2) Epoch 26, batch 500, loss[loss=0.3442, simple_loss=0.3988, pruned_loss=0.1448, over 14279.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04016, over 180.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.35, pruned_loss=0.1022, over 2557261.00 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07123, over 43339.17 utterances.], batch size: 180, lr: 1.82e-04
+2022-09-19 05:00:46,397 INFO [train.py:885] (1/2) Epoch 26, batch 550, loss[loss=0.1485, simple_loss=0.2064, pruned_loss=0.0453, over 13295.00 frames. utt_duration=1613 frames, utt_pad_proportion=0.09631, over 33.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3497, pruned_loss=0.1015, over 2607829.49 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07077, over 44071.71 utterances.], batch size: 33, lr: 1.82e-04
+2022-09-19 05:01:15,823 INFO [train.py:885] (1/2) Epoch 26, batch 600, loss[loss=0.1557, simple_loss=0.2237, pruned_loss=0.04384, over 13832.00 frames. utt_duration=803.5 frames, utt_pad_proportion=0.06458, over 69.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3487, pruned_loss=0.101, over 2643254.21 frames. utt_duration=240 frames, utt_pad_proportion=0.07122, over 44322.73 utterances.], batch size: 69, lr: 1.82e-04
+2022-09-19 05:01:45,226 INFO [train.py:885] (1/2) Epoch 26, batch 650, loss[loss=0.3725, simple_loss=0.4706, pruned_loss=0.1372, over 13148.00 frames. utt_duration=82.11 frames, utt_pad_proportion=0.1075, over 653.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3481, pruned_loss=0.1004, over 2669280.10 frames. utt_duration=239 frames, utt_pad_proportion=0.07412, over 44947.99 utterances.], batch size: 653, lr: 1.82e-04
+2022-09-19 05:02:14,314 INFO [train.py:885] (1/2) Epoch 26, batch 700, loss[loss=0.1834, simple_loss=0.2361, pruned_loss=0.06534, over 13587.00 frames. utt_duration=1296 frames, utt_pad_proportion=0.09024, over 42.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3497, pruned_loss=0.1022, over 2694089.35 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07453, over 45651.21 utterances.], batch size: 42, lr: 1.82e-04
+2022-09-19 05:02:44,411 INFO [train.py:885] (1/2) Epoch 26, batch 750, loss[loss=0.2275, simple_loss=0.3112, pruned_loss=0.07189, over 14239.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04619, over 141.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3473, pruned_loss=0.1008, over 2714595.27 frames. utt_duration=244 frames, utt_pad_proportion=0.07191, over 44775.16 utterances.], batch size: 141, lr: 1.82e-04
+2022-09-19 05:03:13,776 INFO [train.py:885] (1/2) Epoch 26, batch 800, loss[loss=0.1972, simple_loss=0.2772, pruned_loss=0.05865, over 14166.00 frames. utt_duration=638.2 frames, utt_pad_proportion=0.04886, over 89.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3484, pruned_loss=0.1015, over 2729361.23 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07323, over 45156.76 utterances.], batch size: 89, lr: 1.82e-04
+2022-09-19 05:03:43,484 INFO [train.py:885] (1/2) Epoch 26, batch 850, loss[loss=0.274, simple_loss=0.3475, pruned_loss=0.1003, over 14286.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03961, over 180.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3492, pruned_loss=0.1017, over 2742651.57 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07362, over 46322.64 utterances.], batch size: 180, lr: 1.82e-04
+2022-09-19 05:04:13,292 INFO [train.py:885] (1/2) Epoch 26, batch 900, loss[loss=0.294, simple_loss=0.3693, pruned_loss=0.1094, over 14307.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03978, over 262.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3494, pruned_loss=0.1014, over 2756583.25 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07133, over 46647.63 utterances.], batch size: 262, lr: 1.82e-04
+2022-09-19 05:04:42,826 INFO [train.py:885] (1/2) Epoch 26, batch 950, loss[loss=0.1792, simple_loss=0.2543, pruned_loss=0.05206, over 13135.00 frames. utt_duration=1594 frames, utt_pad_proportion=0.119, over 33.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3454, pruned_loss=0.09959, over 2757612.63 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07194, over 44187.66 utterances.], batch size: 33, lr: 1.82e-04
+2022-09-19 05:05:11,527 INFO [train.py:885] (1/2) Epoch 26, batch 1000, loss[loss=0.2251, simple_loss=0.2925, pruned_loss=0.07883, over 14185.00 frames. utt_duration=639.1 frames, utt_pad_proportion=0.04607, over 89.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3449, pruned_loss=0.09937, over 2768873.62 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06949, over 43287.04 utterances.], batch size: 89, lr: 1.82e-04
+2022-09-19 05:05:41,482 INFO [train.py:885] (1/2) Epoch 26, batch 1050, loss[loss=0.2686, simple_loss=0.3459, pruned_loss=0.0957, over 14305.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03927, over 283.00 utterances.], tot_loss[loss=0.272, simple_loss=0.345, pruned_loss=0.09954, over 2766859.82 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07191, over 44398.08 utterances.], batch size: 283, lr: 1.82e-04
+2022-09-19 05:06:11,219 INFO [train.py:885] (1/2) Epoch 26, batch 1100, loss[loss=0.3146, simple_loss=0.387, pruned_loss=0.1211, over 14263.00 frames. utt_duration=188.1 frames, utt_pad_proportion=0.04042, over 306.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3449, pruned_loss=0.09876, over 2770634.25 frames. utt_duration=249 frames, utt_pad_proportion=0.07132, over 44768.65 utterances.], batch size: 306, lr: 1.82e-04
+2022-09-19 05:06:40,351 INFO [train.py:885] (1/2) Epoch 26, batch 1150, loss[loss=0.2193, simple_loss=0.2988, pruned_loss=0.06996, over 14179.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04424, over 109.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3432, pruned_loss=0.09811, over 2772838.61 frames. utt_duration=254.8 frames, utt_pad_proportion=0.07244, over 43777.69 utterances.], batch size: 109, lr: 1.82e-04
+2022-09-19 05:07:09,876 INFO [train.py:885] (1/2) Epoch 26, batch 1200, loss[loss=0.4805, simple_loss=0.5794, pruned_loss=0.1908, over 12517.00 frames. utt_duration=63.34 frames, utt_pad_proportion=0.1441, over 810.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3448, pruned_loss=0.0985, over 2772486.61 frames. utt_duration=249.1 frames, utt_pad_proportion=0.0733, over 44792.75 utterances.], batch size: 810, lr: 1.82e-04
+2022-09-19 05:07:39,061 INFO [train.py:885] (1/2) Epoch 26, batch 1250, loss[loss=0.3497, simple_loss=0.4064, pruned_loss=0.1465, over 14219.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04328, over 306.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3469, pruned_loss=0.0996, over 2778648.30 frames. utt_duration=245 frames, utt_pad_proportion=0.07118, over 45646.41 utterances.], batch size: 306, lr: 1.82e-04
+2022-09-19 05:08:09,239 INFO [train.py:885] (1/2) Epoch 26, batch 1300, loss[loss=0.3753, simple_loss=0.4548, pruned_loss=0.1479, over 13680.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.078, over 477.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3507, pruned_loss=0.1017, over 2779421.15 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07181, over 47262.83 utterances.], batch size: 477, lr: 1.82e-04
+2022-09-19 05:08:38,715 INFO [train.py:885] (1/2) Epoch 26, batch 1350, loss[loss=0.2639, simple_loss=0.3473, pruned_loss=0.09026, over 14362.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03267, over 244.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3503, pruned_loss=0.1022, over 2781458.03 frames. utt_duration=240.7 frames, utt_pad_proportion=0.0715, over 46508.88 utterances.], batch size: 244, lr: 1.82e-04
+2022-09-19 05:09:07,883 INFO [train.py:885] (1/2) Epoch 26, batch 1400, loss[loss=0.273, simple_loss=0.3737, pruned_loss=0.08618, over 13779.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07129, over 411.00 utterances.], tot_loss[loss=0.2798, simple_loss=0.3527, pruned_loss=0.1034, over 2776977.78 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07427, over 47750.76 utterances.], batch size: 411, lr: 1.82e-04
+2022-09-19 05:09:38,101 INFO [train.py:885] (1/2) Epoch 26, batch 1450, loss[loss=0.1698, simple_loss=0.2426, pruned_loss=0.0485, over 13756.00 frames. utt_duration=918.6 frames, utt_pad_proportion=0.0768, over 60.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3519, pruned_loss=0.1028, over 2781184.87 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07359, over 47311.30 utterances.], batch size: 60, lr: 1.82e-04
+2022-09-19 05:10:08,086 INFO [train.py:885] (1/2) Epoch 26, batch 1500, loss[loss=0.267, simple_loss=0.3387, pruned_loss=0.09769, over 14321.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03822, over 195.00 utterances.], tot_loss[loss=0.2794, simple_loss=0.3523, pruned_loss=0.1032, over 2780164.30 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07401, over 47332.73 utterances.], batch size: 195, lr: 1.82e-04
+2022-09-19 05:10:37,504 INFO [train.py:885] (1/2) Epoch 26, batch 1550, loss[loss=0.2429, simple_loss=0.3164, pruned_loss=0.08467, over 12655.00 frames. utt_duration=2026 frames, utt_pad_proportion=0.1452, over 25.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3512, pruned_loss=0.1029, over 2775826.07 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0747, over 46669.25 utterances.], batch size: 25, lr: 1.82e-04
+2022-09-19 05:11:06,402 INFO [train.py:885] (1/2) Epoch 26, batch 1600, loss[loss=0.1818, simple_loss=0.2362, pruned_loss=0.06376, over 13811.00 frames. utt_duration=922 frames, utt_pad_proportion=0.07425, over 60.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3486, pruned_loss=0.1015, over 2782285.99 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07214, over 45121.46 utterances.], batch size: 60, lr: 1.82e-04
+2022-09-19 05:11:36,279 INFO [train.py:885] (1/2) Epoch 26, batch 1650, loss[loss=0.3797, simple_loss=0.4725, pruned_loss=0.1435, over 13186.00 frames. utt_duration=82.3 frames, utt_pad_proportion=0.1054, over 653.00 utterances.], tot_loss[loss=0.2781, simple_loss=0.3508, pruned_loss=0.1028, over 2784885.75 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07128, over 46037.32 utterances.], batch size: 653, lr: 1.82e-04
+2022-09-19 05:12:06,027 INFO [train.py:885] (1/2) Epoch 26, batch 1700, loss[loss=0.2758, simple_loss=0.3527, pruned_loss=0.0994, over 14256.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04534, over 141.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3533, pruned_loss=0.1036, over 2781249.01 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07263, over 48032.79 utterances.], batch size: 141, lr: 1.82e-04
+2022-09-19 05:12:35,034 INFO [train.py:885] (1/2) Epoch 26, batch 1750, loss[loss=0.1876, simple_loss=0.2529, pruned_loss=0.06112, over 12266.00 frames. utt_duration=2046 frames, utt_pad_proportion=0.1747, over 24.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3484, pruned_loss=0.1011, over 2778163.13 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07338, over 46327.66 utterances.], batch size: 24, lr: 1.82e-04
+2022-09-19 05:13:04,962 INFO [train.py:885] (1/2) Epoch 26, batch 1800, loss[loss=0.2659, simple_loss=0.3696, pruned_loss=0.0811, over 13779.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07051, over 411.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3474, pruned_loss=0.09983, over 2781927.35 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07217, over 46350.75 utterances.], batch size: 411, lr: 1.82e-04
+2022-09-19 05:13:34,092 INFO [train.py:885] (1/2) Epoch 26, batch 1850, loss[loss=0.3451, simple_loss=0.4046, pruned_loss=0.1428, over 14162.00 frames. utt_duration=186.8 frames, utt_pad_proportion=0.04715, over 306.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3477, pruned_loss=0.1, over 2781128.38 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07309, over 46604.42 utterances.], batch size: 306, lr: 1.82e-04
+2022-09-19 05:14:03,749 INFO [train.py:885] (1/2) Epoch 26, batch 1900, loss[loss=0.221, simple_loss=0.2767, pruned_loss=0.08265, over 13888.00 frames. utt_duration=806.4 frames, utt_pad_proportion=0.06128, over 69.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.35, pruned_loss=0.1011, over 2777750.20 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07505, over 48034.59 utterances.], batch size: 69, lr: 1.82e-04
+2022-09-19 05:14:32,992 INFO [train.py:885] (1/2) Epoch 26, batch 1950, loss[loss=0.3832, simple_loss=0.4318, pruned_loss=0.1673, over 14323.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03824, over 283.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3458, pruned_loss=0.09924, over 2780981.30 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07243, over 45724.97 utterances.], batch size: 283, lr: 1.82e-04
+2022-09-19 05:15:02,807 INFO [train.py:885] (1/2) Epoch 26, batch 2000, loss[loss=0.1898, simple_loss=0.2661, pruned_loss=0.05669, over 14231.00 frames. utt_duration=641 frames, utt_pad_proportion=0.04469, over 89.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3475, pruned_loss=0.0999, over 2776449.12 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07391, over 46725.11 utterances.], batch size: 89, lr: 1.82e-04
+2022-09-19 05:15:32,210 INFO [train.py:885] (1/2) Epoch 26, batch 2050, loss[loss=0.2147, simple_loss=0.2869, pruned_loss=0.07125, over 14034.00 frames. utt_duration=574.2 frames, utt_pad_proportion=0.0571, over 98.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3482, pruned_loss=0.1003, over 2776304.71 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07459, over 47101.20 utterances.], batch size: 98, lr: 1.82e-04
+2022-09-19 05:16:01,506 INFO [train.py:885] (1/2) Epoch 26, batch 2100, loss[loss=0.2284, simple_loss=0.3071, pruned_loss=0.0749, over 14320.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03869, over 120.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3492, pruned_loss=0.1011, over 2776069.23 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07477, over 47277.39 utterances.], batch size: 120, lr: 1.82e-04
+2022-09-19 05:16:31,164 INFO [train.py:885] (1/2) Epoch 26, batch 2150, loss[loss=0.2767, simple_loss=0.3539, pruned_loss=0.09972, over 14311.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03773, over 180.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3519, pruned_loss=0.1022, over 2777799.82 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07378, over 48228.08 utterances.], batch size: 180, lr: 1.82e-04
+2022-09-19 05:17:00,689 INFO [train.py:885] (1/2) Epoch 26, batch 2200, loss[loss=0.2574, simple_loss=0.3343, pruned_loss=0.09027, over 14181.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04424, over 109.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3485, pruned_loss=0.09991, over 2777390.65 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07402, over 47009.55 utterances.], batch size: 109, lr: 1.82e-04
+2022-09-19 05:17:29,687 INFO [train.py:885] (1/2) Epoch 26, batch 2250, loss[loss=0.3135, simple_loss=0.3799, pruned_loss=0.1235, over 14222.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04438, over 335.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3438, pruned_loss=0.09768, over 2778197.13 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07224, over 45460.60 utterances.], batch size: 335, lr: 1.82e-04
+2022-09-19 05:17:58,938 INFO [train.py:885] (1/2) Epoch 26, batch 2300, loss[loss=0.2971, simple_loss=0.3715, pruned_loss=0.1113, over 14214.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04347, over 306.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3417, pruned_loss=0.09656, over 2779033.68 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07103, over 44925.70 utterances.], batch size: 306, lr: 1.82e-04
+2022-09-19 05:18:28,431 INFO [train.py:885] (1/2) Epoch 26, batch 2350, loss[loss=0.2685, simple_loss=0.3743, pruned_loss=0.08135, over 13759.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07269, over 411.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3495, pruned_loss=0.09985, over 2782192.87 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07124, over 48225.62 utterances.], batch size: 411, lr: 1.82e-04
+2022-09-19 05:18:57,931 INFO [train.py:885] (1/2) Epoch 26, batch 2400, loss[loss=0.2438, simple_loss=0.306, pruned_loss=0.09086, over 14322.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03882, over 120.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.352, pruned_loss=0.1011, over 2783401.90 frames. utt_duration=228.3 frames, utt_pad_proportion=0.07303, over 49073.70 utterances.], batch size: 120, lr: 1.82e-04
+2022-09-19 05:19:27,523 INFO [train.py:885] (1/2) Epoch 26, batch 2450, loss[loss=0.1704, simple_loss=0.2378, pruned_loss=0.05148, over 12888.00 frames. utt_duration=2063 frames, utt_pad_proportion=0.1246, over 25.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3517, pruned_loss=0.1015, over 2781702.72 frames. utt_duration=229.4 frames, utt_pad_proportion=0.07323, over 48815.51 utterances.], batch size: 25, lr: 1.82e-04
+2022-09-19 05:19:57,096 INFO [train.py:885] (1/2) Epoch 26, batch 2500, loss[loss=0.189, simple_loss=0.2626, pruned_loss=0.05768, over 13964.00 frames. utt_duration=708.6 frames, utt_pad_proportion=0.06148, over 79.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3492, pruned_loss=0.1002, over 2773900.58 frames. utt_duration=232.8 frames, utt_pad_proportion=0.075, over 47959.53 utterances.], batch size: 79, lr: 1.82e-04
+2022-09-19 05:20:26,839 INFO [train.py:885] (1/2) Epoch 26, batch 2550, loss[loss=0.2111, simple_loss=0.2801, pruned_loss=0.07103, over 13771.00 frames. utt_duration=799.9 frames, utt_pad_proportion=0.06875, over 69.00 utterances.], tot_loss[loss=0.274, simple_loss=0.348, pruned_loss=0.09996, over 2771061.91 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07546, over 47633.15 utterances.], batch size: 69, lr: 1.82e-04