diff --git "a/log/log-train-2022-09-19-08-50-42-1" "b/log/log-train-2022-09-19-08-50-42-1"
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+++ "b/log/log-train-2022-09-19-08-50-42-1"
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+2022-09-19 08:50:42,670 INFO [train.py:949] (1/2) Training started
+2022-09-19 08:50:42,670 INFO [train.py:959] (1/2) Device: cuda:1
+2022-09-19 08:50:42,673 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': 26, '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}
+2022-09-19 08:50:42,673 INFO [train.py:975] (1/2) About to create model
+2022-09-19 08:50:42,785 INFO [train.py:979] (1/2) Number of model parameters: 30053246
+2022-09-19 08:50:42,785 INFO [checkpoint.py:112] (1/2) Loading checkpoint from pruned_transducer_stateless5/exp-uk-filtered2/epoch-25.pt
+2022-09-19 08:50:45,572 INFO [train.py:994] (1/2) Using DDP
+2022-09-19 08:50:48,947 INFO [train.py:1002] (1/2) Loading optimizer state dict
+2022-09-19 08:50:49,140 INFO [train.py:1010] (1/2) Loading scheduler state dict
+2022-09-19 08:50:49,141 INFO [asr_datamodule_uk.py:422] (1/2) About to get ('train-other-shuffled-filtered2',) cuts
+2022-09-19 08:50:49,802 INFO [asr_datamodule_uk.py:225] (1/2) Enable MUSAN
+2022-09-19 08:50:49,802 INFO [asr_datamodule_uk.py:226] (1/2) About to get Musan cuts
+2022-09-19 08:50:51,028 INFO [asr_datamodule_uk.py:254] (1/2) Enable SpecAugment
+2022-09-19 08:50:51,028 INFO [asr_datamodule_uk.py:255] (1/2) Time warp factor: 80
+2022-09-19 08:50:51,028 INFO [asr_datamodule_uk.py:267] (1/2) Num frame mask: 10
+2022-09-19 08:50:51,028 INFO [asr_datamodule_uk.py:280] (1/2) About to create train dataset
+2022-09-19 08:50:51,028 INFO [asr_datamodule_uk.py:309] (1/2) Using DynamicBucketingSampler.
+2022-09-19 08:50:52,507 INFO [asr_datamodule_uk.py:324] (1/2) About to create train dataloader
+2022-09-19 08:50:52,509 INFO [asr_datamodule_uk.py:434] (1/2) About to get test-other (for dev) cuts
+2022-09-19 08:50:52,510 INFO [asr_datamodule_uk.py:355] (1/2) About to create dev dataset
+2022-09-19 08:50:52,602 INFO [asr_datamodule_uk.py:374] (1/2) About to create dev dataloader
+2022-09-19 08:50:52,602 INFO [train.py:1067] (1/2) Loading grad scaler state dict
+2022-09-19 08:51:02,254 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 08:51:02,319 INFO [distributed.py:995] (1/2) Reducer buckets have been rebuilt in this iteration.
+2022-09-19 08:51:31,570 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 08:52:00,970 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 08:52:30,402 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 08:53:00,238 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 08:53:29,669 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 08:53:59,363 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 08:54:28,583 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 08:54:57,942 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 08:55:27,221 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 08:55:56,734 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 08:56:26,666 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 08:56:56,039 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 08:57:25,245 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 08:57:54,615 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 08:58:23,892 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 08:58:53,590 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 08:59:22,844 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 08:59:52,092 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 09:00:22,672 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 09:00:51,306 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 09:01:20,965 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 09:01:50,318 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 09:02:19,884 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 09:02:48,992 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 09:03:18,661 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 09:03:48,481 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 09:04:17,621 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 09:04:47,048 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 09:05:16,098 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 09:05:45,839 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 09:06:15,345 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 09:06:44,598 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 09:07:13,934 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 09:07:43,592 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 09:08:12,490 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 09:08:42,501 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 09:09:11,899 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 09:09:41,173 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 09:10:10,663 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 09:10:40,566 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 09:11:09,906 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 09:11:39,100 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 09:12:08,620 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 09:12:38,116 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 09:13:07,036 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 09:13:36,137 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 09:14:05,945 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 09:14:35,763 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 09:15:04,719 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 09:15:34,237 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 09:16:04,069 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
+2022-09-19 09:16:33,149 INFO [train.py:885] (1/2) Epoch 26, batch 2600, loss[loss=0.2165, simple_loss=0.2955, pruned_loss=0.06874, over 14302.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.03994, over 120.00 utterances.], tot_loss[loss=0.27, simple_loss=0.344, pruned_loss=0.09804, over 2775473.78 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07281, over 45872.06 utterances.], batch size: 120, lr: 1.82e-04
+2022-09-19 09:17:03,074 INFO [train.py:885] (1/2) Epoch 26, batch 2650, loss[loss=0.1799, simple_loss=0.2605, pruned_loss=0.04966, over 14165.00 frames. utt_duration=718.7 frames, utt_pad_proportion=0.04933, over 79.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3435, pruned_loss=0.09836, over 2768639.31 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07521, over 45631.13 utterances.], batch size: 79, lr: 1.82e-04
+2022-09-19 09:17:31,206 INFO [train.py:885] (1/2) Epoch 26, batch 2700, loss[loss=0.1937, simple_loss=0.2688, pruned_loss=0.05927, over 14044.00 frames. utt_duration=712.8 frames, utt_pad_proportion=0.05711, over 79.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3442, pruned_loss=0.0992, over 2776254.97 frames. utt_duration=246 frames, utt_pad_proportion=0.0726, over 45404.13 utterances.], batch size: 79, lr: 1.82e-04
+2022-09-19 09:18:01,283 INFO [train.py:885] (1/2) Epoch 26, batch 2750, loss[loss=0.1689, simple_loss=0.2349, pruned_loss=0.05145, over 13606.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08099, over 50.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3419, pruned_loss=0.09746, over 2774080.04 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07224, over 44811.52 utterances.], batch size: 50, lr: 1.82e-04
+2022-09-19 09:18:31,099 INFO [train.py:885] (1/2) Epoch 26, batch 2800, loss[loss=0.2198, simple_loss=0.2885, pruned_loss=0.07558, over 14106.00 frames. utt_duration=715.6 frames, utt_pad_proportion=0.05348, over 79.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3403, pruned_loss=0.09703, over 2778359.58 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0707, over 43805.19 utterances.], batch size: 79, lr: 1.82e-04
+2022-09-19 09:19:00,231 INFO [train.py:885] (1/2) Epoch 26, batch 2850, loss[loss=0.1687, simple_loss=0.241, pruned_loss=0.04818, over 13884.00 frames. utt_duration=927.1 frames, utt_pad_proportion=0.06732, over 60.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3424, pruned_loss=0.0981, over 2780216.62 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07041, over 44231.85 utterances.], batch size: 60, lr: 1.82e-04
+2022-09-19 09:19:30,135 INFO [train.py:885] (1/2) Epoch 26, batch 2900, loss[loss=0.3979, simple_loss=0.4669, pruned_loss=0.1644, over 13702.00 frames. utt_duration=134.9 frames, utt_pad_proportion=0.07631, over 411.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3412, pruned_loss=0.09743, over 2779052.79 frames. utt_duration=254.5 frames, utt_pad_proportion=0.07119, over 43932.05 utterances.], batch size: 411, lr: 1.82e-04
+2022-09-19 09:19:59,789 INFO [train.py:885] (1/2) Epoch 26, batch 2950, loss[loss=0.2963, simple_loss=0.3654, pruned_loss=0.1136, over 14358.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03562, over 210.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3419, pruned_loss=0.09797, over 2781116.99 frames. utt_duration=256.9 frames, utt_pad_proportion=0.06942, over 43546.04 utterances.], batch size: 210, lr: 1.82e-04
+2022-09-19 09:20:29,582 INFO [train.py:885] (1/2) Epoch 26, batch 3000, loss[loss=0.1906, simple_loss=0.2695, pruned_loss=0.05585, over 14212.00 frames. utt_duration=640.3 frames, utt_pad_proportion=0.04575, over 89.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3422, pruned_loss=0.09898, over 2782338.74 frames. utt_duration=258.6 frames, utt_pad_proportion=0.07024, over 43276.33 utterances.], batch size: 89, lr: 1.82e-04
+2022-09-19 09:20:29,583 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 09:20:33,887 INFO [train.py:914] (1/2) Epoch 26, validation: loss=0.1852, simple_loss=0.2645, pruned_loss=0.05299, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 09:21:03,442 INFO [train.py:885] (1/2) Epoch 26, batch 3050, loss[loss=0.1452, simple_loss=0.1966, pruned_loss=0.04686, over 12991.00 frames. utt_duration=1576 frames, utt_pad_proportion=0.1176, over 33.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3401, pruned_loss=0.09807, over 2786651.89 frames. utt_duration=262.2 frames, utt_pad_proportion=0.06788, over 42749.10 utterances.], batch size: 33, lr: 1.82e-04
+2022-09-19 09:21:34,060 INFO [train.py:885] (1/2) Epoch 26, batch 3100, loss[loss=0.2884, simple_loss=0.3639, pruned_loss=0.1064, over 14289.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03939, over 226.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3404, pruned_loss=0.0985, over 2788389.63 frames. utt_duration=267.8 frames, utt_pad_proportion=0.06785, over 41877.41 utterances.], batch size: 226, lr: 1.82e-04
+2022-09-19 09:22:03,839 INFO [train.py:885] (1/2) Epoch 26, batch 3150, loss[loss=0.2783, simple_loss=0.3894, pruned_loss=0.08357, over 13806.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06941, over 411.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3439, pruned_loss=0.1002, over 2791263.31 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06771, over 43163.86 utterances.], batch size: 411, lr: 1.82e-04
+2022-09-19 09:22:33,805 INFO [train.py:885] (1/2) Epoch 26, batch 3200, loss[loss=0.3123, simple_loss=0.377, pruned_loss=0.1238, over 14341.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03687, over 283.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3452, pruned_loss=0.101, over 2789920.82 frames. utt_duration=256.4 frames, utt_pad_proportion=0.069, over 43768.84 utterances.], batch size: 283, lr: 1.82e-04
+2022-09-19 09:23:03,812 INFO [train.py:885] (1/2) Epoch 26, batch 3250, loss[loss=0.2805, simple_loss=0.3554, pruned_loss=0.1028, over 14344.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03626, over 210.00 utterances.], tot_loss[loss=0.2768, simple_loss=0.3488, pruned_loss=0.1024, over 2787528.40 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06968, over 46026.16 utterances.], batch size: 210, lr: 1.82e-04
+2022-09-19 09:23:33,376 INFO [train.py:885] (1/2) Epoch 26, batch 3300, loss[loss=0.3668, simple_loss=0.4189, pruned_loss=0.1574, over 14246.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.0416, over 306.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3445, pruned_loss=0.1005, over 2788767.52 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06814, over 44375.94 utterances.], batch size: 306, lr: 1.81e-04
+2022-09-19 09:24:02,983 INFO [train.py:885] (1/2) Epoch 26, batch 3350, loss[loss=0.2756, simple_loss=0.3502, pruned_loss=0.1005, over 14324.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.03675, over 130.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3454, pruned_loss=0.09963, over 2789808.08 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06923, over 45172.80 utterances.], batch size: 130, lr: 1.81e-04
+2022-09-19 09:24:33,246 INFO [train.py:885] (1/2) Epoch 26, batch 3400, loss[loss=0.2024, simple_loss=0.2833, pruned_loss=0.06076, over 14163.00 frames. utt_duration=638 frames, utt_pad_proportion=0.04915, over 89.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3488, pruned_loss=0.1015, over 2786982.62 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07123, over 46013.76 utterances.], batch size: 89, lr: 1.81e-04
+2022-09-19 09:25:02,734 INFO [train.py:885] (1/2) Epoch 26, batch 3450, loss[loss=0.2198, simple_loss=0.303, pruned_loss=0.06828, over 14244.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04621, over 141.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3451, pruned_loss=0.1001, over 2786095.80 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06979, over 44675.51 utterances.], batch size: 141, lr: 1.81e-04
+2022-09-19 09:25:33,280 INFO [train.py:885] (1/2) Epoch 26, batch 3500, loss[loss=0.3277, simple_loss=0.4079, pruned_loss=0.1238, over 13982.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05713, over 365.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3457, pruned_loss=0.1007, over 2780948.94 frames. utt_duration=248 frames, utt_pad_proportion=0.07024, over 45121.52 utterances.], batch size: 365, lr: 1.81e-04
+2022-09-19 09:26:03,733 INFO [train.py:885] (1/2) Epoch 26, batch 3550, loss[loss=0.211, simple_loss=0.2877, pruned_loss=0.06716, over 14129.00 frames. utt_duration=636.3 frames, utt_pad_proportion=0.05024, over 89.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3435, pruned_loss=0.09993, over 2781056.85 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06906, over 44003.04 utterances.], batch size: 89, lr: 1.81e-04
+2022-09-19 09:26:32,177 INFO [train.py:885] (1/2) Epoch 26, batch 3600, loss[loss=0.2025, simple_loss=0.2794, pruned_loss=0.06276, over 14092.00 frames. utt_duration=576.8 frames, utt_pad_proportion=0.05447, over 98.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3448, pruned_loss=0.1005, over 2788617.29 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06746, over 43696.96 utterances.], batch size: 98, lr: 1.81e-04
+2022-09-19 09:27:02,368 INFO [train.py:885] (1/2) Epoch 26, batch 3650, loss[loss=0.3133, simple_loss=0.3744, pruned_loss=0.1261, over 14286.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03934, over 180.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3459, pruned_loss=0.1011, over 2789726.11 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06788, over 44037.41 utterances.], batch size: 180, lr: 1.81e-04
+2022-09-19 09:27:32,032 INFO [train.py:885] (1/2) Epoch 26, batch 3700, loss[loss=0.3147, simple_loss=0.3816, pruned_loss=0.1239, over 14395.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03085, over 244.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3442, pruned_loss=0.1001, over 2792850.63 frames. utt_duration=259.9 frames, utt_pad_proportion=0.06555, over 43236.96 utterances.], batch size: 244, lr: 1.81e-04
+2022-09-19 09:28:02,293 INFO [train.py:885] (1/2) Epoch 26, batch 3750, loss[loss=0.3073, simple_loss=0.3743, pruned_loss=0.1202, over 14337.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03732, over 262.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3439, pruned_loss=0.1005, over 2787999.87 frames. utt_duration=260.9 frames, utt_pad_proportion=0.06704, over 42979.74 utterances.], batch size: 262, lr: 1.81e-04
+2022-09-19 09:28:32,387 INFO [train.py:885] (1/2) Epoch 26, batch 3800, loss[loss=0.2276, simple_loss=0.3054, pruned_loss=0.07493, over 14262.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.04308, over 154.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3449, pruned_loss=0.1014, over 2784384.08 frames. utt_duration=258.5 frames, utt_pad_proportion=0.06927, over 43324.95 utterances.], batch size: 154, lr: 1.81e-04
+2022-09-19 09:29:02,108 INFO [train.py:885] (1/2) Epoch 26, batch 3850, loss[loss=0.253, simple_loss=0.3411, pruned_loss=0.08243, over 14323.00 frames. utt_duration=373.6 frames, utt_pad_proportion=0.03948, over 154.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3466, pruned_loss=0.1018, over 2784807.16 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07018, over 44659.35 utterances.], batch size: 154, lr: 1.81e-04
+2022-09-19 09:29:32,388 INFO [train.py:885] (1/2) Epoch 26, batch 3900, loss[loss=0.2445, simple_loss=0.3337, pruned_loss=0.07763, over 14362.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03255, over 244.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3432, pruned_loss=0.09973, over 2780182.67 frames. utt_duration=254 frames, utt_pad_proportion=0.07024, over 44040.70 utterances.], batch size: 244, lr: 1.81e-04
+2022-09-19 09:30:02,024 INFO [train.py:885] (1/2) Epoch 26, batch 3950, loss[loss=0.2996, simple_loss=0.4019, pruned_loss=0.0987, over 13639.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08046, over 477.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3437, pruned_loss=0.09975, over 2785840.57 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06951, over 43745.59 utterances.], batch size: 477, lr: 1.81e-04
+2022-09-19 09:30:31,789 INFO [train.py:885] (1/2) Epoch 26, batch 4000, loss[loss=0.3115, simple_loss=0.3794, pruned_loss=0.1218, over 14218.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0432, over 306.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3471, pruned_loss=0.1014, over 2780899.04 frames. utt_duration=247.1 frames, utt_pad_proportion=0.0725, over 45294.02 utterances.], batch size: 306, lr: 1.81e-04
+2022-09-19 09:31:01,719 INFO [train.py:885] (1/2) Epoch 26, batch 4050, loss[loss=0.3494, simple_loss=0.4493, pruned_loss=0.1247, over 13209.00 frames. utt_duration=82.43 frames, utt_pad_proportion=0.1041, over 653.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3473, pruned_loss=0.1017, over 2779567.19 frames. utt_duration=246 frames, utt_pad_proportion=0.07189, over 45475.82 utterances.], batch size: 653, lr: 1.81e-04
+2022-09-19 09:31:31,302 INFO [train.py:885] (1/2) Epoch 26, batch 4100, loss[loss=0.3547, simple_loss=0.461, pruned_loss=0.1242, over 13159.00 frames. utt_duration=82.23 frames, utt_pad_proportion=0.1062, over 653.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3525, pruned_loss=0.1034, over 2782577.76 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07171, over 47690.43 utterances.], batch size: 653, lr: 1.81e-04
+2022-09-19 09:32:00,895 INFO [train.py:885] (1/2) Epoch 26, batch 4150, loss[loss=0.245, simple_loss=0.3223, pruned_loss=0.08385, over 14250.00 frames. utt_duration=405.6 frames, utt_pad_proportion=0.04561, over 141.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3504, pruned_loss=0.1031, over 2783928.27 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07029, over 45714.02 utterances.], batch size: 141, lr: 1.81e-04
+2022-09-19 09:32:30,222 INFO [train.py:885] (1/2) Epoch 26, batch 4200, loss[loss=0.3047, simple_loss=0.4037, pruned_loss=0.1028, over 13667.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07838, over 477.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3494, pruned_loss=0.1022, over 2787312.07 frames. utt_duration=247.2 frames, utt_pad_proportion=0.06993, over 45369.99 utterances.], batch size: 477, lr: 1.81e-04
+2022-09-19 09:33:00,606 INFO [train.py:885] (1/2) Epoch 26, batch 4250, loss[loss=0.3501, simple_loss=0.4095, pruned_loss=0.1454, over 14351.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03739, over 283.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3518, pruned_loss=0.1025, over 2783499.81 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07057, over 46784.60 utterances.], batch size: 283, lr: 1.81e-04
+2022-09-19 09:33:30,793 INFO [train.py:885] (1/2) Epoch 26, batch 4300, loss[loss=0.2022, simple_loss=0.2817, pruned_loss=0.06137, over 14251.00 frames. utt_duration=642.1 frames, utt_pad_proportion=0.04314, over 89.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3529, pruned_loss=0.1025, over 2781598.90 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07309, over 47628.11 utterances.], batch size: 89, lr: 1.81e-04
+2022-09-19 09:34:00,563 INFO [train.py:885] (1/2) Epoch 26, batch 4350, loss[loss=0.2493, simple_loss=0.2956, pruned_loss=0.1015, over 14032.00 frames. utt_duration=936.8 frames, utt_pad_proportion=0.05751, over 60.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3513, pruned_loss=0.1015, over 2781338.53 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07275, over 47110.72 utterances.], batch size: 60, lr: 1.81e-04
+2022-09-19 09:34:30,824 INFO [train.py:885] (1/2) Epoch 26, batch 4400, loss[loss=0.4048, simple_loss=0.4462, pruned_loss=0.1817, over 14229.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04381, over 335.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3497, pruned_loss=0.1003, over 2778412.04 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07433, over 47224.15 utterances.], batch size: 335, lr: 1.81e-04
+2022-09-19 09:35:00,383 INFO [train.py:885] (1/2) Epoch 26, batch 4450, loss[loss=0.3146, simple_loss=0.3945, pruned_loss=0.1173, over 14067.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05428, over 366.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3517, pruned_loss=0.1011, over 2777823.78 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07338, over 48292.39 utterances.], batch size: 366, lr: 1.81e-04
+2022-09-19 09:35:30,998 INFO [train.py:885] (1/2) Epoch 26, batch 4500, loss[loss=0.2243, simple_loss=0.2994, pruned_loss=0.07463, over 14067.00 frames. utt_duration=713.5 frames, utt_pad_proportion=0.05626, over 79.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3497, pruned_loss=0.0998, over 2777875.88 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07392, over 47959.82 utterances.], batch size: 79, lr: 1.81e-04
+2022-09-19 09:36:00,164 INFO [train.py:885] (1/2) Epoch 26, batch 4550, loss[loss=0.2025, simple_loss=0.2796, pruned_loss=0.06268, over 13110.00 frames. utt_duration=2018 frames, utt_pad_proportion=0.09986, over 26.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3468, pruned_loss=0.09897, over 2780634.97 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07106, over 46121.16 utterances.], batch size: 26, lr: 1.81e-04
+2022-09-19 09:36:30,348 INFO [train.py:885] (1/2) Epoch 26, batch 4600, loss[loss=0.3783, simple_loss=0.4291, pruned_loss=0.1637, over 14255.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04113, over 306.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3458, pruned_loss=0.09883, over 2780541.51 frames. utt_duration=243.4 frames, utt_pad_proportion=0.06952, over 45980.47 utterances.], batch size: 306, lr: 1.81e-04
+2022-09-19 09:37:01,022 INFO [train.py:885] (1/2) Epoch 26, batch 4650, loss[loss=0.2632, simple_loss=0.3314, pruned_loss=0.09757, over 14314.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03886, over 120.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3445, pruned_loss=0.09875, over 2774932.52 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07219, over 45380.08 utterances.], batch size: 120, lr: 1.81e-04
+2022-09-19 09:37:30,611 INFO [train.py:885] (1/2) Epoch 26, batch 4700, loss[loss=0.3372, simple_loss=0.3926, pruned_loss=0.1409, over 14297.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03881, over 180.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3449, pruned_loss=0.09963, over 2778777.80 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06936, over 44487.73 utterances.], batch size: 180, lr: 1.81e-04
+2022-09-19 09:38:00,884 INFO [train.py:885] (1/2) Epoch 26, batch 4750, loss[loss=0.2, simple_loss=0.2712, pruned_loss=0.0644, over 14235.00 frames. utt_duration=641.4 frames, utt_pad_proportion=0.04414, over 89.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3475, pruned_loss=0.1006, over 2776779.15 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07247, over 45741.25 utterances.], batch size: 89, lr: 1.81e-04
+2022-09-19 09:38:30,855 INFO [train.py:885] (1/2) Epoch 26, batch 4800, loss[loss=0.2745, simple_loss=0.3481, pruned_loss=0.1005, over 14330.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03975, over 167.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3491, pruned_loss=0.1012, over 2778686.00 frames. utt_duration=241.3 frames, utt_pad_proportion=0.0735, over 46348.67 utterances.], batch size: 167, lr: 1.81e-04
+2022-09-19 09:39:00,584 INFO [train.py:885] (1/2) Epoch 26, batch 4850, loss[loss=0.4143, simple_loss=0.4975, pruned_loss=0.1655, over 13225.00 frames. utt_duration=82.47 frames, utt_pad_proportion=0.1036, over 653.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3492, pruned_loss=0.1012, over 2779731.04 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07247, over 46660.17 utterances.], batch size: 653, lr: 1.81e-04
+2022-09-19 09:39:30,686 INFO [train.py:885] (1/2) Epoch 26, batch 4900, loss[loss=0.1783, simple_loss=0.2543, pruned_loss=0.0512, over 13443.00 frames. utt_duration=1313 frames, utt_pad_proportion=0.08236, over 41.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3467, pruned_loss=0.1007, over 2772075.02 frames. utt_duration=244 frames, utt_pad_proportion=0.07368, over 45721.50 utterances.], batch size: 41, lr: 1.81e-04
+2022-09-19 09:40:00,554 INFO [train.py:885] (1/2) Epoch 26, batch 4950, loss[loss=0.2984, simple_loss=0.4019, pruned_loss=0.09748, over 13692.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07695, over 477.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3469, pruned_loss=0.1001, over 2769698.02 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07512, over 45914.01 utterances.], batch size: 477, lr: 1.81e-04
+2022-09-19 09:40:30,278 INFO [train.py:885] (1/2) Epoch 26, batch 5000, loss[loss=0.1906, simple_loss=0.2617, pruned_loss=0.05972, over 14077.00 frames. utt_duration=714.1 frames, utt_pad_proportion=0.05412, over 79.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3458, pruned_loss=0.09974, over 2775596.47 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07376, over 45085.79 utterances.], batch size: 79, lr: 1.81e-04
+2022-09-19 09:40:59,838 INFO [train.py:885] (1/2) Epoch 26, batch 5050, loss[loss=0.1944, simple_loss=0.2649, pruned_loss=0.06195, over 13450.00 frames. utt_duration=2071 frames, utt_pad_proportion=0.09893, over 26.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3449, pruned_loss=0.09968, over 2775399.09 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07486, over 44417.46 utterances.], batch size: 26, lr: 1.81e-04
+2022-09-19 09:41:29,796 INFO [train.py:885] (1/2) Epoch 26, batch 5100, loss[loss=0.2927, simple_loss=0.3721, pruned_loss=0.1067, over 14272.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04092, over 225.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3461, pruned_loss=0.1007, over 2779733.09 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07278, over 44979.41 utterances.], batch size: 225, lr: 1.81e-04
+2022-09-19 09:42:00,070 INFO [train.py:885] (1/2) Epoch 26, batch 5150, loss[loss=0.1603, simple_loss=0.2371, pruned_loss=0.04176, over 13872.00 frames. utt_duration=926 frames, utt_pad_proportion=0.0693, over 60.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3432, pruned_loss=0.09968, over 2778454.57 frames. utt_duration=257.6 frames, utt_pad_proportion=0.07152, over 43390.90 utterances.], batch size: 60, lr: 1.81e-04
+2022-09-19 09:42:29,697 INFO [train.py:885] (1/2) Epoch 26, batch 5200, loss[loss=0.1871, simple_loss=0.2504, pruned_loss=0.06193, over 13895.00 frames. utt_duration=927.6 frames, utt_pad_proportion=0.06588, over 60.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3456, pruned_loss=0.1004, over 2777209.32 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07389, over 45225.46 utterances.], batch size: 60, lr: 1.81e-04
+2022-09-19 09:42:59,251 INFO [train.py:885] (1/2) Epoch 26, batch 5250, loss[loss=0.2492, simple_loss=0.3268, pruned_loss=0.0858, over 14323.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03734, over 154.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3467, pruned_loss=0.101, over 2780733.80 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07151, over 45724.91 utterances.], batch size: 154, lr: 1.81e-04
+2022-09-19 09:43:29,214 INFO [train.py:885] (1/2) Epoch 26, batch 5300, loss[loss=0.3135, simple_loss=0.3768, pruned_loss=0.125, over 14365.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03791, over 167.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3452, pruned_loss=0.1002, over 2773945.91 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07491, over 45525.10 utterances.], batch size: 167, lr: 1.81e-04
+2022-09-19 09:43:58,488 INFO [train.py:885] (1/2) Epoch 26, batch 5350, loss[loss=0.1694, simple_loss=0.2481, pruned_loss=0.04534, over 13830.00 frames. utt_duration=803.1 frames, utt_pad_proportion=0.06398, over 69.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3446, pruned_loss=0.09936, over 2772538.34 frames. utt_duration=245 frames, utt_pad_proportion=0.0757, over 45540.47 utterances.], batch size: 69, lr: 1.81e-04
+2022-09-19 09:44:27,896 INFO [train.py:885] (1/2) Epoch 26, batch 5400, loss[loss=0.1367, simple_loss=0.2079, pruned_loss=0.03278, over 13384.00 frames. utt_duration=1308 frames, utt_pad_proportion=0.08483, over 41.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3425, pruned_loss=0.09817, over 2776445.34 frames. utt_duration=248.7 frames, utt_pad_proportion=0.074, over 44923.75 utterances.], batch size: 41, lr: 1.81e-04
+2022-09-19 09:44:57,529 INFO [train.py:885] (1/2) Epoch 26, batch 5450, loss[loss=0.291, simple_loss=0.369, pruned_loss=0.1065, over 14364.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03294, over 244.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3458, pruned_loss=0.1001, over 2780030.59 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07151, over 45910.36 utterances.], batch size: 244, lr: 1.81e-04
+2022-09-19 09:45:26,719 INFO [train.py:885] (1/2) Epoch 26, batch 5500, loss[loss=0.2468, simple_loss=0.3166, pruned_loss=0.08852, over 14342.00 frames. utt_duration=479.5 frames, utt_pad_proportion=0.03722, over 120.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3485, pruned_loss=0.1011, over 2774521.99 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07506, over 47611.12 utterances.], batch size: 120, lr: 1.81e-04
+2022-09-19 09:45:56,243 INFO [train.py:885] (1/2) Epoch 26, batch 5550, loss[loss=0.2974, simple_loss=0.3657, pruned_loss=0.1146, over 14298.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03957, over 283.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3504, pruned_loss=0.1023, over 2775766.78 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07507, over 47918.64 utterances.], batch size: 283, lr: 1.81e-04
+2022-09-19 09:46:26,207 INFO [train.py:885] (1/2) Epoch 26, batch 5600, loss[loss=0.291, simple_loss=0.3522, pruned_loss=0.1149, over 14334.00 frames. utt_duration=320 frames, utt_pad_proportion=0.03623, over 180.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3513, pruned_loss=0.1017, over 2773023.31 frames. utt_duration=226.6 frames, utt_pad_proportion=0.07846, over 49283.13 utterances.], batch size: 180, lr: 1.81e-04
+2022-09-19 09:46:55,589 INFO [train.py:885] (1/2) Epoch 26, batch 5650, loss[loss=0.2291, simple_loss=0.3018, pruned_loss=0.07814, over 14197.00 frames. utt_duration=639.5 frames, utt_pad_proportion=0.04412, over 89.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3497, pruned_loss=0.1009, over 2776138.93 frames. utt_duration=230 frames, utt_pad_proportion=0.0761, over 48587.17 utterances.], batch size: 89, lr: 1.81e-04
+2022-09-19 09:47:25,211 INFO [train.py:885] (1/2) Epoch 26, batch 5700, loss[loss=0.5024, simple_loss=0.5906, pruned_loss=0.2071, over 12440.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1478, over 810.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3508, pruned_loss=0.1017, over 2778476.68 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07423, over 48335.33 utterances.], batch size: 810, lr: 1.81e-04
+2022-09-19 09:47:54,626 INFO [train.py:885] (1/2) Epoch 26, batch 5750, loss[loss=0.2621, simple_loss=0.348, pruned_loss=0.08805, over 14306.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03562, over 262.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3493, pruned_loss=0.1013, over 2776871.30 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07405, over 47626.21 utterances.], batch size: 262, lr: 1.81e-04
+2022-09-19 09:48:23,858 INFO [train.py:885] (1/2) Epoch 26, batch 5800, loss[loss=0.3093, simple_loss=0.3765, pruned_loss=0.121, over 14291.00 frames. utt_duration=294.7 frames, utt_pad_proportion=0.03992, over 195.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3464, pruned_loss=0.09975, over 2782414.66 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07104, over 45881.35 utterances.], batch size: 195, lr: 1.81e-04
+2022-09-19 09:48:54,177 INFO [train.py:885] (1/2) Epoch 26, batch 5850, loss[loss=0.3085, simple_loss=0.4083, pruned_loss=0.1043, over 13601.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.07694, over 478.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3488, pruned_loss=0.1008, over 2776502.52 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07463, over 47136.15 utterances.], batch size: 478, lr: 1.81e-04
+2022-09-19 09:49:23,562 INFO [train.py:885] (1/2) Epoch 26, batch 5900, loss[loss=0.1509, simple_loss=0.1961, pruned_loss=0.05285, over 13146.00 frames. utt_duration=1595 frames, utt_pad_proportion=0.1164, over 33.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3476, pruned_loss=0.1007, over 2774997.84 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07483, over 46647.77 utterances.], batch size: 33, lr: 1.81e-04
+2022-09-19 09:49:52,997 INFO [train.py:885] (1/2) Epoch 26, batch 5950, loss[loss=0.2346, simple_loss=0.3136, pruned_loss=0.07777, over 14311.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03965, over 130.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.344, pruned_loss=0.09845, over 2775106.97 frames. utt_duration=249.1 frames, utt_pad_proportion=0.0733, over 44822.70 utterances.], batch size: 130, lr: 1.81e-04
+2022-09-19 09:50:22,628 INFO [train.py:885] (1/2) Epoch 26, batch 6000, loss[loss=0.1738, simple_loss=0.2494, pruned_loss=0.04909, over 14014.00 frames. utt_duration=711.1 frames, utt_pad_proportion=0.05941, over 79.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3436, pruned_loss=0.09941, over 2777493.77 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07247, over 44224.28 utterances.], batch size: 79, lr: 1.81e-04
+2022-09-19 09:50:22,628 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 09:50:26,775 INFO [train.py:914] (1/2) Epoch 26, validation: loss=0.1911, simple_loss=0.2705, pruned_loss=0.05589, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 09:50:56,062 INFO [train.py:885] (1/2) Epoch 26, batch 6050, loss[loss=0.2324, simple_loss=0.319, pruned_loss=0.07292, over 14355.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03876, over 167.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3438, pruned_loss=0.09921, over 2775286.70 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07514, over 44730.12 utterances.], batch size: 167, lr: 1.81e-04
+2022-09-19 09:51:25,900 INFO [train.py:885] (1/2) Epoch 26, batch 6100, loss[loss=0.2124, simple_loss=0.2966, pruned_loss=0.06405, over 14184.00 frames. utt_duration=638.9 frames, utt_pad_proportion=0.04789, over 89.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3454, pruned_loss=0.1001, over 2775355.60 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07548, over 45172.37 utterances.], batch size: 89, lr: 1.81e-04
+2022-09-19 09:51:55,597 INFO [train.py:885] (1/2) Epoch 26, batch 6150, loss[loss=0.1856, simple_loss=0.2557, pruned_loss=0.05777, over 13891.00 frames. utt_duration=927.1 frames, utt_pad_proportion=0.06914, over 60.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3441, pruned_loss=0.09984, over 2778644.60 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07444, over 44144.96 utterances.], batch size: 60, lr: 1.81e-04
+2022-09-19 09:52:24,994 INFO [train.py:885] (1/2) Epoch 26, batch 6200, loss[loss=0.2576, simple_loss=0.3341, pruned_loss=0.09053, over 14313.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04018, over 154.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3462, pruned_loss=0.09954, over 2772854.66 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07738, over 45882.61 utterances.], batch size: 154, lr: 1.81e-04
+2022-09-19 09:52:54,508 INFO [train.py:885] (1/2) Epoch 26, batch 6250, loss[loss=0.3126, simple_loss=0.3781, pruned_loss=0.1235, over 14343.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03695, over 262.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3456, pruned_loss=0.09925, over 2773009.72 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07647, over 45806.97 utterances.], batch size: 262, lr: 1.81e-04
+2022-09-19 09:53:23,844 INFO [train.py:885] (1/2) Epoch 26, batch 6300, loss[loss=0.2428, simple_loss=0.3225, pruned_loss=0.08156, over 14310.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04105, over 154.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3464, pruned_loss=0.1003, over 2777341.90 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07522, over 45225.01 utterances.], batch size: 154, lr: 1.81e-04
+2022-09-19 09:53:53,433 INFO [train.py:885] (1/2) Epoch 26, batch 6350, loss[loss=0.1788, simple_loss=0.2477, pruned_loss=0.05498, over 13316.00 frames. utt_duration=1616 frames, utt_pad_proportion=0.1059, over 33.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3448, pruned_loss=0.1005, over 2775095.07 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07381, over 44499.09 utterances.], batch size: 33, lr: 1.81e-04
+2022-09-19 09:54:22,416 INFO [train.py:885] (1/2) Epoch 26, batch 6400, loss[loss=0.2853, simple_loss=0.3798, pruned_loss=0.09537, over 14016.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05433, over 365.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3434, pruned_loss=0.09978, over 2780470.30 frames. utt_duration=257.6 frames, utt_pad_proportion=0.07184, over 43421.25 utterances.], batch size: 365, lr: 1.81e-04
+2022-09-19 09:54:51,952 INFO [train.py:885] (1/2) Epoch 26, batch 6450, loss[loss=0.3222, simple_loss=0.3901, pruned_loss=0.1272, over 14318.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.03814, over 226.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3451, pruned_loss=0.1004, over 2778676.33 frames. utt_duration=253 frames, utt_pad_proportion=0.07387, over 44195.75 utterances.], batch size: 226, lr: 1.81e-04
+2022-09-19 09:55:21,324 INFO [train.py:885] (1/2) Epoch 26, batch 6500, loss[loss=0.1735, simple_loss=0.2312, pruned_loss=0.05788, over 13768.00 frames. utt_duration=1103 frames, utt_pad_proportion=0.06444, over 50.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3457, pruned_loss=0.1007, over 2779269.62 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07219, over 44762.82 utterances.], batch size: 50, lr: 1.81e-04
+2022-09-19 09:55:50,915 INFO [train.py:885] (1/2) Epoch 26, batch 6550, loss[loss=0.3006, simple_loss=0.3489, pruned_loss=0.1261, over 14178.00 frames. utt_duration=638.8 frames, utt_pad_proportion=0.04947, over 89.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3458, pruned_loss=0.1003, over 2781740.57 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07154, over 45359.73 utterances.], batch size: 89, lr: 1.81e-04
+2022-09-19 09:56:20,480 INFO [train.py:885] (1/2) Epoch 26, batch 6600, loss[loss=0.367, simple_loss=0.4112, pruned_loss=0.1614, over 14234.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04319, over 335.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3449, pruned_loss=0.09955, over 2779869.25 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07213, over 45649.81 utterances.], batch size: 335, lr: 1.81e-04
+2022-09-19 09:56:50,073 INFO [train.py:885] (1/2) Epoch 26, batch 6650, loss[loss=0.2274, simple_loss=0.3087, pruned_loss=0.07306, over 14274.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.03999, over 130.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3438, pruned_loss=0.09842, over 2783932.72 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06929, over 45018.79 utterances.], batch size: 130, lr: 1.81e-04
+2022-09-19 09:57:19,293 INFO [train.py:885] (1/2) Epoch 26, batch 6700, loss[loss=0.3429, simple_loss=0.3987, pruned_loss=0.1436, over 14255.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04246, over 335.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3462, pruned_loss=0.09936, over 2784963.54 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07066, over 46261.42 utterances.], batch size: 335, lr: 1.81e-04
+2022-09-19 09:57:49,295 INFO [train.py:885] (1/2) Epoch 26, batch 6750, loss[loss=0.3263, simple_loss=0.4176, pruned_loss=0.1175, over 13671.00 frames. utt_duration=99.09 frames, utt_pad_proportion=0.07388, over 560.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3455, pruned_loss=0.09843, over 2787349.49 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07045, over 45925.09 utterances.], batch size: 560, lr: 1.81e-04
+2022-09-19 09:58:18,951 INFO [train.py:885] (1/2) Epoch 26, batch 6800, loss[loss=0.1989, simple_loss=0.2739, pruned_loss=0.06193, over 11702.00 frames. utt_duration=1952 frames, utt_pad_proportion=0.1785, over 24.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3407, pruned_loss=0.09651, over 2784127.78 frames. utt_duration=257.2 frames, utt_pad_proportion=0.06946, over 43543.19 utterances.], batch size: 24, lr: 1.80e-04
+2022-09-19 09:58:48,377 INFO [train.py:885] (1/2) Epoch 26, batch 6850, loss[loss=0.2283, simple_loss=0.2998, pruned_loss=0.07841, over 14297.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.03994, over 120.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3436, pruned_loss=0.09737, over 2776918.53 frames. utt_duration=243.5 frames, utt_pad_proportion=0.0739, over 45893.17 utterances.], batch size: 120, lr: 1.80e-04
+2022-09-19 09:59:17,771 INFO [train.py:885] (1/2) Epoch 26, batch 6900, loss[loss=0.1791, simple_loss=0.255, pruned_loss=0.05163, over 12851.00 frames. utt_duration=2058 frames, utt_pad_proportion=0.1278, over 25.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3446, pruned_loss=0.09811, over 2773412.59 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07397, over 46567.99 utterances.], batch size: 25, lr: 1.80e-04
+2022-09-19 09:59:47,154 INFO [train.py:885] (1/2) Epoch 26, batch 6950, loss[loss=0.1939, simple_loss=0.2745, pruned_loss=0.05669, over 14075.00 frames. utt_duration=576 frames, utt_pad_proportion=0.05425, over 98.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3446, pruned_loss=0.09828, over 2772951.32 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07471, over 47011.51 utterances.], batch size: 98, lr: 1.80e-04
+2022-09-19 10:00:17,102 INFO [train.py:885] (1/2) Epoch 26, batch 7000, loss[loss=0.1489, simple_loss=0.198, pruned_loss=0.04993, over 13233.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1075, over 33.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3419, pruned_loss=0.09723, over 2776722.86 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07233, over 45552.36 utterances.], batch size: 33, lr: 1.80e-04
+2022-09-19 10:00:46,968 INFO [train.py:885] (1/2) Epoch 26, batch 7050, loss[loss=0.1698, simple_loss=0.2369, pruned_loss=0.05136, over 13562.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08544, over 50.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3446, pruned_loss=0.09922, over 2778118.00 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07142, over 45779.95 utterances.], batch size: 50, lr: 1.80e-04
+2022-09-19 10:01:16,348 INFO [train.py:885] (1/2) Epoch 26, batch 7100, loss[loss=0.1625, simple_loss=0.2103, pruned_loss=0.05737, over 13085.00 frames. utt_duration=2095 frames, utt_pad_proportion=0.1077, over 25.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3432, pruned_loss=0.09886, over 2780535.90 frames. utt_duration=247.5 frames, utt_pad_proportion=0.0706, over 45208.67 utterances.], batch size: 25, lr: 1.80e-04
+2022-09-19 10:01:45,985 INFO [train.py:885] (1/2) Epoch 26, batch 7150, loss[loss=0.2995, simple_loss=0.3698, pruned_loss=0.1146, over 14308.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03892, over 283.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3422, pruned_loss=0.09829, over 2776861.26 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07281, over 45014.05 utterances.], batch size: 283, lr: 1.80e-04
+2022-09-19 10:02:15,198 INFO [train.py:885] (1/2) Epoch 26, batch 7200, loss[loss=0.2643, simple_loss=0.3401, pruned_loss=0.09424, over 14321.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04003, over 154.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3441, pruned_loss=0.09899, over 2777961.90 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07257, over 45394.36 utterances.], batch size: 154, lr: 1.80e-04
+2022-09-19 10:02:45,065 INFO [train.py:885] (1/2) Epoch 26, batch 7250, loss[loss=0.2002, simple_loss=0.2812, pruned_loss=0.05954, over 13830.00 frames. utt_duration=923.5 frames, utt_pad_proportion=0.0643, over 60.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3427, pruned_loss=0.09854, over 2778221.10 frames. utt_duration=248.3 frames, utt_pad_proportion=0.0717, over 45026.38 utterances.], batch size: 60, lr: 1.80e-04
+2022-09-19 10:03:14,575 INFO [train.py:885] (1/2) Epoch 26, batch 7300, loss[loss=0.218, simple_loss=0.2848, pruned_loss=0.0756, over 14118.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.05112, over 98.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3397, pruned_loss=0.09707, over 2782459.78 frames. utt_duration=256.4 frames, utt_pad_proportion=0.06927, over 43654.47 utterances.], batch size: 98, lr: 1.80e-04
+2022-09-19 10:03:44,143 INFO [train.py:885] (1/2) Epoch 26, batch 7350, loss[loss=0.2042, simple_loss=0.2785, pruned_loss=0.06495, over 13928.00 frames. utt_duration=809 frames, utt_pad_proportion=0.05716, over 69.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3402, pruned_loss=0.0973, over 2784409.15 frames. utt_duration=256.8 frames, utt_pad_proportion=0.06862, over 43616.35 utterances.], batch size: 69, lr: 1.80e-04
+2022-09-19 10:04:13,340 INFO [train.py:885] (1/2) Epoch 26, batch 7400, loss[loss=0.2032, simple_loss=0.2824, pruned_loss=0.06202, over 14000.00 frames. utt_duration=710.4 frames, utt_pad_proportion=0.06034, over 79.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3411, pruned_loss=0.09746, over 2784372.52 frames. utt_duration=254.2 frames, utt_pad_proportion=0.07057, over 44064.61 utterances.], batch size: 79, lr: 1.80e-04
+2022-09-19 10:04:43,164 INFO [train.py:885] (1/2) Epoch 26, batch 7450, loss[loss=0.3645, simple_loss=0.4128, pruned_loss=0.158, over 14233.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04374, over 335.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3451, pruned_loss=0.09915, over 2786390.93 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06922, over 45691.81 utterances.], batch size: 335, lr: 1.80e-04
+2022-09-19 10:05:12,335 INFO [train.py:885] (1/2) Epoch 26, batch 7500, loss[loss=0.2239, simple_loss=0.2979, pruned_loss=0.07498, over 14181.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04541, over 89.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3456, pruned_loss=0.09983, over 2783780.70 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07034, over 45457.04 utterances.], batch size: 89, lr: 1.80e-04
+2022-09-19 10:05:42,696 INFO [train.py:885] (1/2) Epoch 26, batch 7550, loss[loss=0.2399, simple_loss=0.3008, pruned_loss=0.08952, over 14104.00 frames. utt_duration=715.7 frames, utt_pad_proportion=0.0533, over 79.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3454, pruned_loss=0.09904, over 2787077.95 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07027, over 45491.99 utterances.], batch size: 79, lr: 1.80e-04
+2022-09-19 10:06:12,260 INFO [train.py:885] (1/2) Epoch 26, batch 7600, loss[loss=0.1278, simple_loss=0.1829, pruned_loss=0.0363, over 12579.00 frames. utt_duration=2014 frames, utt_pad_proportion=0.1352, over 25.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3464, pruned_loss=0.09986, over 2782913.15 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07011, over 46117.35 utterances.], batch size: 25, lr: 1.80e-04
+2022-09-19 10:06:41,632 INFO [train.py:885] (1/2) Epoch 26, batch 7650, loss[loss=0.2942, simple_loss=0.3484, pruned_loss=0.12, over 14189.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.0436, over 109.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3449, pruned_loss=0.09971, over 2782232.80 frames. utt_duration=246.7 frames, utt_pad_proportion=0.06977, over 45375.27 utterances.], batch size: 109, lr: 1.80e-04
+2022-09-19 10:07:11,058 INFO [train.py:885] (1/2) Epoch 26, batch 7700, loss[loss=0.2121, simple_loss=0.2749, pruned_loss=0.07462, over 14032.00 frames. utt_duration=814.9 frames, utt_pad_proportion=0.05139, over 69.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3418, pruned_loss=0.09868, over 2782941.44 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06901, over 43543.15 utterances.], batch size: 69, lr: 1.80e-04
+2022-09-19 10:07:41,062 INFO [train.py:885] (1/2) Epoch 26, batch 7750, loss[loss=0.2902, simple_loss=0.39, pruned_loss=0.09519, over 13768.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07181, over 411.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3409, pruned_loss=0.09797, over 2784856.65 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06795, over 43520.07 utterances.], batch size: 411, lr: 1.80e-04
+2022-09-19 10:08:17,028 INFO [train.py:885] (1/2) Epoch 26, batch 7800, loss[loss=0.3275, simple_loss=0.3945, pruned_loss=0.1302, over 14331.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.038, over 283.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3416, pruned_loss=0.09819, over 2787534.49 frames. utt_duration=258.1 frames, utt_pad_proportion=0.0683, over 43442.70 utterances.], batch size: 283, lr: 1.80e-04
+2022-09-19 10:08:46,297 INFO [train.py:885] (1/2) Epoch 26, batch 7850, loss[loss=0.3733, simple_loss=0.4713, pruned_loss=0.1376, over 13140.00 frames. utt_duration=82.03 frames, utt_pad_proportion=0.1084, over 653.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3426, pruned_loss=0.09872, over 2788725.98 frames. utt_duration=256.7 frames, utt_pad_proportion=0.06789, over 43700.97 utterances.], batch size: 653, lr: 1.80e-04
+2022-09-19 10:09:15,953 INFO [train.py:885] (1/2) Epoch 26, batch 7900, loss[loss=0.3547, simple_loss=0.4566, pruned_loss=0.1264, over 13220.00 frames. utt_duration=82.44 frames, utt_pad_proportion=0.1039, over 653.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3459, pruned_loss=0.1004, over 2781402.12 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07156, over 45817.42 utterances.], batch size: 653, lr: 1.80e-04
+2022-09-19 10:09:45,356 INFO [train.py:885] (1/2) Epoch 26, batch 7950, loss[loss=0.1682, simple_loss=0.2312, pruned_loss=0.05262, over 12388.00 frames. utt_duration=2066 frames, utt_pad_proportion=0.1669, over 24.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.346, pruned_loss=0.1003, over 2783843.25 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07011, over 45855.95 utterances.], batch size: 24, lr: 1.80e-04
+2022-09-19 10:10:15,306 INFO [train.py:885] (1/2) Epoch 26, batch 8000, loss[loss=0.2461, simple_loss=0.3286, pruned_loss=0.08182, over 14299.00 frames. utt_duration=407.1 frames, utt_pad_proportion=0.04209, over 141.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3543, pruned_loss=0.104, over 2782145.85 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07306, over 49182.99 utterances.], batch size: 141, lr: 1.80e-04
+2022-09-19 10:10:44,452 INFO [train.py:885] (1/2) Epoch 26, batch 8050, loss[loss=0.156, simple_loss=0.2208, pruned_loss=0.04563, over 13122.00 frames. utt_duration=1592 frames, utt_pad_proportion=0.1204, over 33.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3522, pruned_loss=0.103, over 2784626.22 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07115, over 48499.23 utterances.], batch size: 33, lr: 1.80e-04
+2022-09-19 10:11:14,191 INFO [train.py:885] (1/2) Epoch 26, batch 8100, loss[loss=0.2625, simple_loss=0.3526, pruned_loss=0.0862, over 14352.00 frames. utt_duration=220.6 frames, utt_pad_proportion=0.03652, over 262.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.348, pruned_loss=0.1007, over 2783213.74 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07002, over 47233.11 utterances.], batch size: 262, lr: 1.80e-04
+2022-09-19 10:11:43,608 INFO [train.py:885] (1/2) Epoch 26, batch 8150, loss[loss=0.1854, simple_loss=0.2557, pruned_loss=0.05749, over 13650.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.08161, over 50.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.346, pruned_loss=0.09986, over 2782548.60 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07104, over 46452.34 utterances.], batch size: 50, lr: 1.80e-04
+2022-09-19 10:12:12,835 INFO [train.py:885] (1/2) Epoch 26, batch 8200, loss[loss=0.2023, simple_loss=0.282, pruned_loss=0.06129, over 13896.00 frames. utt_duration=807.2 frames, utt_pad_proportion=0.06032, over 69.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3451, pruned_loss=0.09869, over 2785581.13 frames. utt_duration=242.1 frames, utt_pad_proportion=0.06953, over 46309.71 utterances.], batch size: 69, lr: 1.80e-04
+2022-09-19 10:12:42,100 INFO [train.py:885] (1/2) Epoch 26, batch 8250, loss[loss=0.4678, simple_loss=0.4771, pruned_loss=0.2292, over 14237.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04301, over 335.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3458, pruned_loss=0.09999, over 2780844.61 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07109, over 45984.77 utterances.], batch size: 335, lr: 1.80e-04
+2022-09-19 10:13:11,829 INFO [train.py:885] (1/2) Epoch 26, batch 8300, loss[loss=0.2773, simple_loss=0.3572, pruned_loss=0.09865, over 14254.00 frames. utt_duration=318.1 frames, utt_pad_proportion=0.04193, over 180.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3406, pruned_loss=0.09764, over 2780769.05 frames. utt_duration=255.9 frames, utt_pad_proportion=0.06979, over 43726.43 utterances.], batch size: 180, lr: 1.80e-04
+2022-09-19 10:13:41,146 INFO [train.py:885] (1/2) Epoch 26, batch 8350, loss[loss=0.1762, simple_loss=0.2552, pruned_loss=0.04859, over 14074.00 frames. utt_duration=805.8 frames, utt_pad_proportion=0.05974, over 70.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3434, pruned_loss=0.09817, over 2777082.39 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07257, over 45632.84 utterances.], batch size: 70, lr: 1.80e-04
+2022-09-19 10:14:10,580 INFO [train.py:885] (1/2) Epoch 26, batch 8400, loss[loss=0.196, simple_loss=0.249, pruned_loss=0.07143, over 12391.00 frames. utt_duration=2067 frames, utt_pad_proportion=0.1503, over 24.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3449, pruned_loss=0.09919, over 2780134.07 frames. utt_duration=242.7 frames, utt_pad_proportion=0.0714, over 46108.02 utterances.], batch size: 24, lr: 1.80e-04
+2022-09-19 10:14:39,826 INFO [train.py:885] (1/2) Epoch 26, batch 8450, loss[loss=0.2274, simple_loss=0.299, pruned_loss=0.07791, over 14190.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.0436, over 109.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3469, pruned_loss=0.1002, over 2778880.05 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07239, over 46857.85 utterances.], batch size: 109, lr: 1.80e-04
+2022-09-19 10:15:09,145 INFO [train.py:885] (1/2) Epoch 26, batch 8500, loss[loss=0.3029, simple_loss=0.3694, pruned_loss=0.1182, over 14254.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04142, over 225.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3453, pruned_loss=0.09915, over 2781600.47 frames. utt_duration=244.2 frames, utt_pad_proportion=0.0693, over 45839.19 utterances.], batch size: 225, lr: 1.80e-04
+2022-09-19 10:15:38,943 INFO [train.py:885] (1/2) Epoch 26, batch 8550, loss[loss=0.3703, simple_loss=0.4534, pruned_loss=0.1436, over 13623.00 frames. utt_duration=98.82 frames, utt_pad_proportion=0.07642, over 560.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3444, pruned_loss=0.09886, over 2778376.65 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07071, over 45567.61 utterances.], batch size: 560, lr: 1.80e-04
+2022-09-19 10:16:09,143 INFO [train.py:885] (1/2) Epoch 26, batch 8600, loss[loss=0.2099, simple_loss=0.2893, pruned_loss=0.06525, over 14252.00 frames. utt_duration=642.1 frames, utt_pad_proportion=0.04169, over 89.00 utterances.], tot_loss[loss=0.2774, simple_loss=0.3508, pruned_loss=0.102, over 2779927.61 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07259, over 47847.63 utterances.], batch size: 89, lr: 1.80e-04
+2022-09-19 10:16:38,803 INFO [train.py:885] (1/2) Epoch 26, batch 8650, loss[loss=0.225, simple_loss=0.2976, pruned_loss=0.07621, over 14048.00 frames. utt_duration=804.4 frames, utt_pad_proportion=0.05479, over 70.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3502, pruned_loss=0.1022, over 2784556.87 frames. utt_duration=241.7 frames, utt_pad_proportion=0.06929, over 46364.41 utterances.], batch size: 70, lr: 1.80e-04
+2022-09-19 10:17:07,999 INFO [train.py:885] (1/2) Epoch 26, batch 8700, loss[loss=0.2589, simple_loss=0.3341, pruned_loss=0.09191, over 14403.00 frames. utt_duration=346.4 frames, utt_pad_proportion=0.03503, over 167.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3462, pruned_loss=0.1, over 2781918.01 frames. utt_duration=249.1 frames, utt_pad_proportion=0.06836, over 44929.21 utterances.], batch size: 167, lr: 1.80e-04
+2022-09-19 10:17:37,530 INFO [train.py:885] (1/2) Epoch 26, batch 8750, loss[loss=0.1926, simple_loss=0.2591, pruned_loss=0.06307, over 12160.00 frames. utt_duration=2028 frames, utt_pad_proportion=0.186, over 24.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3431, pruned_loss=0.09859, over 2778535.20 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07054, over 44159.18 utterances.], batch size: 24, lr: 1.80e-04
+2022-09-19 10:18:07,209 INFO [train.py:885] (1/2) Epoch 26, batch 8800, loss[loss=0.3315, simple_loss=0.4297, pruned_loss=0.1167, over 13611.00 frames. utt_duration=98.54 frames, utt_pad_proportion=0.07904, over 560.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.344, pruned_loss=0.09876, over 2780795.17 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07109, over 44655.92 utterances.], batch size: 560, lr: 1.80e-04
+2022-09-19 10:18:37,061 INFO [train.py:885] (1/2) Epoch 26, batch 8850, loss[loss=0.2458, simple_loss=0.3235, pruned_loss=0.08401, over 14241.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04611, over 141.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3425, pruned_loss=0.09788, over 2782171.84 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06846, over 44341.04 utterances.], batch size: 141, lr: 1.80e-04
+2022-09-19 10:19:06,376 INFO [train.py:885] (1/2) Epoch 26, batch 8900, loss[loss=0.2741, simple_loss=0.3771, pruned_loss=0.08557, over 13950.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05895, over 365.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3432, pruned_loss=0.09838, over 2783603.46 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06795, over 44642.15 utterances.], batch size: 365, lr: 1.80e-04
+2022-09-19 10:19:35,715 INFO [train.py:885] (1/2) Epoch 26, batch 8950, loss[loss=0.3457, simple_loss=0.4042, pruned_loss=0.1436, over 14233.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04303, over 335.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3427, pruned_loss=0.09874, over 2782703.52 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06751, over 43717.96 utterances.], batch size: 335, lr: 1.80e-04
+2022-09-19 10:20:05,289 INFO [train.py:885] (1/2) Epoch 26, batch 9000, loss[loss=0.4282, simple_loss=0.4587, pruned_loss=0.1989, over 14254.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04177, over 335.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3431, pruned_loss=0.09935, over 2782777.17 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06816, over 43812.35 utterances.], batch size: 335, lr: 1.80e-04
+2022-09-19 10:20:05,290 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 10:20:09,461 INFO [train.py:914] (1/2) Epoch 26, validation: loss=0.197, simple_loss=0.2766, pruned_loss=0.05864, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 10:20:38,127 INFO [train.py:885] (1/2) Epoch 26, batch 9050, loss[loss=0.305, simple_loss=0.3717, pruned_loss=0.1192, over 14364.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03506, over 195.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3423, pruned_loss=0.09882, over 2782548.42 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06882, over 43456.33 utterances.], batch size: 195, lr: 1.80e-04
+2022-09-19 10:21:08,530 INFO [train.py:885] (1/2) Epoch 26, batch 9100, loss[loss=0.1384, simple_loss=0.1918, pruned_loss=0.04253, over 12622.00 frames. utt_duration=2105 frames, utt_pad_proportion=0.1408, over 24.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3411, pruned_loss=0.09772, over 2782934.62 frames. utt_duration=259.6 frames, utt_pad_proportion=0.06843, over 43117.65 utterances.], batch size: 24, lr: 1.80e-04
+2022-09-19 10:21:38,244 INFO [train.py:885] (1/2) Epoch 26, batch 9150, loss[loss=0.1667, simple_loss=0.229, pruned_loss=0.05216, over 13501.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.08119, over 50.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3394, pruned_loss=0.09636, over 2775965.01 frames. utt_duration=255.9 frames, utt_pad_proportion=0.0715, over 43652.35 utterances.], batch size: 50, lr: 1.80e-04
+2022-09-19 10:22:07,707 INFO [train.py:885] (1/2) Epoch 26, batch 9200, loss[loss=0.2392, simple_loss=0.3221, pruned_loss=0.07813, over 14187.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04421, over 109.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3421, pruned_loss=0.09737, over 2773987.66 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07422, over 45064.40 utterances.], batch size: 109, lr: 1.80e-04
+2022-09-19 10:22:37,571 INFO [train.py:885] (1/2) Epoch 26, batch 9250, loss[loss=0.2245, simple_loss=0.2978, pruned_loss=0.07564, over 14024.00 frames. utt_duration=573.7 frames, utt_pad_proportion=0.05943, over 98.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3452, pruned_loss=0.09929, over 2777781.29 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07441, over 45686.37 utterances.], batch size: 98, lr: 1.80e-04
+2022-09-19 10:23:06,755 INFO [train.py:885] (1/2) Epoch 26, batch 9300, loss[loss=0.1693, simple_loss=0.247, pruned_loss=0.04573, over 13531.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08744, over 50.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3464, pruned_loss=0.09994, over 2781209.38 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07327, over 45541.72 utterances.], batch size: 50, lr: 1.80e-04
+2022-09-19 10:23:36,360 INFO [train.py:885] (1/2) Epoch 26, batch 9350, loss[loss=0.2815, simple_loss=0.3541, pruned_loss=0.1045, over 14312.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03935, over 283.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3454, pruned_loss=0.09909, over 2784404.36 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07175, over 45118.83 utterances.], batch size: 283, lr: 1.80e-04
+2022-09-19 10:24:05,710 INFO [train.py:885] (1/2) Epoch 26, batch 9400, loss[loss=0.2667, simple_loss=0.3386, pruned_loss=0.09743, over 14288.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03968, over 180.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3468, pruned_loss=0.09967, over 2784201.04 frames. utt_duration=246.4 frames, utt_pad_proportion=0.0729, over 45478.53 utterances.], batch size: 180, lr: 1.80e-04
+2022-09-19 10:24:35,029 INFO [train.py:885] (1/2) Epoch 26, batch 9450, loss[loss=0.3273, simple_loss=0.4004, pruned_loss=0.1271, over 13759.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07199, over 411.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.348, pruned_loss=0.1004, over 2785432.12 frames. utt_duration=246 frames, utt_pad_proportion=0.07259, over 45563.34 utterances.], batch size: 411, lr: 1.80e-04
+2022-09-19 10:25:04,323 INFO [train.py:885] (1/2) Epoch 26, batch 9500, loss[loss=0.3189, simple_loss=0.3836, pruned_loss=0.1271, over 14366.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03289, over 244.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3485, pruned_loss=0.1007, over 2781940.24 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07255, over 45827.26 utterances.], batch size: 244, lr: 1.80e-04
+2022-09-19 10:25:34,187 INFO [train.py:885] (1/2) Epoch 26, batch 9550, loss[loss=0.5243, simple_loss=0.6073, pruned_loss=0.2207, over 12455.00 frames. utt_duration=63.12 frames, utt_pad_proportion=0.1471, over 810.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3505, pruned_loss=0.1015, over 2776289.13 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07573, over 47413.67 utterances.], batch size: 810, lr: 1.80e-04
+2022-09-19 10:26:03,931 INFO [train.py:885] (1/2) Epoch 26, batch 9600, loss[loss=0.3027, simple_loss=0.3731, pruned_loss=0.1161, over 14347.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03659, over 283.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3476, pruned_loss=0.1, over 2779528.66 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0732, over 46735.83 utterances.], batch size: 283, lr: 1.80e-04
+2022-09-19 10:26:32,624 INFO [train.py:885] (1/2) Epoch 26, batch 9650, loss[loss=0.2708, simple_loss=0.3489, pruned_loss=0.09633, over 14348.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03615, over 195.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3473, pruned_loss=0.09966, over 2778720.77 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07162, over 46585.15 utterances.], batch size: 195, lr: 1.80e-04
+2022-09-19 10:27:02,297 INFO [train.py:885] (1/2) Epoch 26, batch 9700, loss[loss=0.2814, simple_loss=0.3568, pruned_loss=0.103, over 14321.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03733, over 180.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3465, pruned_loss=0.1004, over 2777229.75 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07141, over 46018.95 utterances.], batch size: 180, lr: 1.80e-04
+2022-09-19 10:27:31,701 INFO [train.py:885] (1/2) Epoch 26, batch 9750, loss[loss=0.156, simple_loss=0.2308, pruned_loss=0.04064, over 13133.00 frames. utt_duration=2022 frames, utt_pad_proportion=0.0943, over 26.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.344, pruned_loss=0.09925, over 2780541.85 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07053, over 45070.41 utterances.], batch size: 26, lr: 1.80e-04
+2022-09-19 10:28:02,072 INFO [train.py:885] (1/2) Epoch 26, batch 9800, loss[loss=0.2195, simple_loss=0.2964, pruned_loss=0.07131, over 12301.00 frames. utt_duration=2052 frames, utt_pad_proportion=0.1573, over 24.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3444, pruned_loss=0.09954, over 2782644.53 frames. utt_duration=251.8 frames, utt_pad_proportion=0.0691, over 44459.15 utterances.], batch size: 24, lr: 1.80e-04
+2022-09-19 10:28:31,743 INFO [train.py:885] (1/2) Epoch 26, batch 9850, loss[loss=0.284, simple_loss=0.3923, pruned_loss=0.08786, over 13633.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.0806, over 477.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3442, pruned_loss=0.09937, over 2780654.71 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07089, over 44648.89 utterances.], batch size: 477, lr: 1.80e-04
+2022-09-19 10:29:01,183 INFO [train.py:885] (1/2) Epoch 26, batch 9900, loss[loss=0.2242, simple_loss=0.3197, pruned_loss=0.06433, over 14308.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04091, over 154.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3434, pruned_loss=0.098, over 2781873.11 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07065, over 45300.26 utterances.], batch size: 154, lr: 1.80e-04
+2022-09-19 10:29:30,516 INFO [train.py:885] (1/2) Epoch 26, batch 9950, loss[loss=0.3055, simple_loss=0.3961, pruned_loss=0.1074, over 14008.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05488, over 365.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3423, pruned_loss=0.09855, over 2778860.90 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07141, over 44406.29 utterances.], batch size: 365, lr: 1.80e-04
+2022-09-19 10:30:00,246 INFO [train.py:885] (1/2) Epoch 26, batch 10000, loss[loss=0.3139, simple_loss=0.3783, pruned_loss=0.1248, over 14238.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04298, over 335.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3429, pruned_loss=0.09868, over 2782605.38 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06933, over 44287.11 utterances.], batch size: 335, lr: 1.80e-04
+2022-09-19 10:30:29,970 INFO [train.py:885] (1/2) Epoch 26, batch 10050, loss[loss=0.2573, simple_loss=0.3357, pruned_loss=0.08949, over 14282.00 frames. utt_duration=440.8 frames, utt_pad_proportion=0.03965, over 130.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3441, pruned_loss=0.09903, over 2782361.63 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07079, over 44355.89 utterances.], batch size: 130, lr: 1.80e-04
+2022-09-19 10:30:59,910 INFO [train.py:885] (1/2) Epoch 26, batch 10100, loss[loss=0.158, simple_loss=0.2115, pruned_loss=0.05222, over 13085.00 frames. utt_duration=1588 frames, utt_pad_proportion=0.1203, over 33.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3445, pruned_loss=0.09958, over 2779108.29 frames. utt_duration=251.7 frames, utt_pad_proportion=0.0709, over 44430.60 utterances.], batch size: 33, lr: 1.80e-04
+2022-09-19 10:31:29,145 INFO [train.py:885] (1/2) Epoch 26, batch 10150, loss[loss=0.2716, simple_loss=0.3546, pruned_loss=0.09428, over 14372.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03517, over 210.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3444, pruned_loss=0.09955, over 2776477.55 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07111, over 44631.53 utterances.], batch size: 210, lr: 1.80e-04
+2022-09-19 10:31:58,290 INFO [train.py:885] (1/2) Epoch 26, batch 10200, loss[loss=0.292, simple_loss=0.3656, pruned_loss=0.1092, over 14287.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04162, over 262.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3431, pruned_loss=0.09918, over 2779535.98 frames. utt_duration=256 frames, utt_pad_proportion=0.0695, over 43678.06 utterances.], batch size: 262, lr: 1.80e-04
+2022-09-19 10:32:28,138 INFO [train.py:885] (1/2) Epoch 26, batch 10250, loss[loss=0.1672, simple_loss=0.2424, pruned_loss=0.04598, over 13794.00 frames. utt_duration=801.1 frames, utt_pad_proportion=0.06742, over 69.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3467, pruned_loss=0.1001, over 2777889.13 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07187, over 45850.27 utterances.], batch size: 69, lr: 1.80e-04
+2022-09-19 10:33:05,867 INFO [train.py:885] (1/2) Epoch 26, batch 10300, loss[loss=0.3438, simple_loss=0.4073, pruned_loss=0.1402, over 14263.00 frames. utt_duration=219.2 frames, utt_pad_proportion=0.0427, over 262.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3449, pruned_loss=0.09899, over 2776458.19 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07189, over 44982.25 utterances.], batch size: 262, lr: 1.80e-04
+2022-09-19 10:33:35,182 INFO [train.py:885] (1/2) Epoch 26, batch 10350, loss[loss=0.3498, simple_loss=0.4575, pruned_loss=0.1211, over 13191.00 frames. utt_duration=82.36 frames, utt_pad_proportion=0.1047, over 653.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3466, pruned_loss=0.1008, over 2774366.09 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07511, over 45238.74 utterances.], batch size: 653, lr: 1.80e-04
+2022-09-19 10:34:05,457 INFO [train.py:885] (1/2) Epoch 26, batch 10400, loss[loss=0.3144, simple_loss=0.3811, pruned_loss=0.1238, over 14307.00 frames. utt_duration=344 frames, utt_pad_proportion=0.04187, over 167.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3438, pruned_loss=0.09852, over 2776476.71 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07345, over 44659.71 utterances.], batch size: 167, lr: 1.79e-04
+2022-09-19 10:34:34,452 INFO [train.py:885] (1/2) Epoch 26, batch 10450, loss[loss=0.203, simple_loss=0.2908, pruned_loss=0.05763, over 14222.00 frames. utt_duration=523.5 frames, utt_pad_proportion=0.04115, over 109.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3415, pruned_loss=0.09808, over 2780357.53 frames. utt_duration=254.3 frames, utt_pad_proportion=0.0714, over 43980.00 utterances.], batch size: 109, lr: 1.79e-04
+2022-09-19 10:35:03,198 INFO [train.py:885] (1/2) Epoch 26, batch 10500, loss[loss=0.2942, simple_loss=0.3695, pruned_loss=0.1094, over 14301.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04032, over 262.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.344, pruned_loss=0.0993, over 2779960.86 frames. utt_duration=249.5 frames, utt_pad_proportion=0.0723, over 44838.17 utterances.], batch size: 262, lr: 1.79e-04
+2022-09-19 10:35:32,244 INFO [train.py:885] (1/2) Epoch 26, batch 10550, loss[loss=0.3078, simple_loss=0.3739, pruned_loss=0.1209, over 14201.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04475, over 306.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3467, pruned_loss=0.09968, over 2784472.67 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07162, over 46746.14 utterances.], batch size: 306, lr: 1.79e-04
+2022-09-19 10:36:01,693 INFO [train.py:885] (1/2) Epoch 26, batch 10600, loss[loss=0.2066, simple_loss=0.2869, pruned_loss=0.06313, over 14238.00 frames. utt_duration=641.4 frames, utt_pad_proportion=0.04132, over 89.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3483, pruned_loss=0.1007, over 2783975.18 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07116, over 46364.80 utterances.], batch size: 89, lr: 1.79e-04
+2022-09-19 10:36:41,018 INFO [train.py:885] (1/2) Epoch 26, batch 10650, loss[loss=0.3538, simple_loss=0.4143, pruned_loss=0.1466, over 14225.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04328, over 335.00 utterances.], tot_loss[loss=0.2811, simple_loss=0.3538, pruned_loss=0.1042, over 2782079.43 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07382, over 48196.27 utterances.], batch size: 335, lr: 1.79e-04
+2022-09-19 10:37:10,045 INFO [train.py:885] (1/2) Epoch 26, batch 10700, loss[loss=0.2162, simple_loss=0.2914, pruned_loss=0.07054, over 14067.00 frames. utt_duration=713.9 frames, utt_pad_proportion=0.05572, over 79.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3492, pruned_loss=0.1011, over 2781787.60 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07272, over 46318.75 utterances.], batch size: 79, lr: 1.79e-04
+2022-09-19 10:37:39,737 INFO [train.py:885] (1/2) Epoch 26, batch 10750, loss[loss=0.2394, simple_loss=0.3119, pruned_loss=0.08347, over 14181.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04436, over 109.00 utterances.], tot_loss[loss=0.2766, simple_loss=0.3506, pruned_loss=0.1013, over 2777643.87 frames. utt_duration=235.2 frames, utt_pad_proportion=0.07571, over 47543.59 utterances.], batch size: 109, lr: 1.79e-04
+2022-09-19 10:38:08,926 INFO [train.py:885] (1/2) Epoch 26, batch 10800, loss[loss=0.1696, simple_loss=0.2391, pruned_loss=0.05005, over 13571.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.08873, over 42.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3535, pruned_loss=0.103, over 2772474.36 frames. utt_duration=228.2 frames, utt_pad_proportion=0.07704, over 48915.01 utterances.], batch size: 42, lr: 1.79e-04
+2022-09-19 10:38:38,732 INFO [train.py:885] (1/2) Epoch 26, batch 10850, loss[loss=0.2128, simple_loss=0.2791, pruned_loss=0.07328, over 14345.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03705, over 120.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3507, pruned_loss=0.1017, over 2771594.95 frames. utt_duration=233.6 frames, utt_pad_proportion=0.07614, over 47772.13 utterances.], batch size: 120, lr: 1.79e-04
+2022-09-19 10:39:07,852 INFO [train.py:885] (1/2) Epoch 26, batch 10900, loss[loss=0.1948, simple_loss=0.265, pruned_loss=0.06228, over 14222.00 frames. utt_duration=814.1 frames, utt_pad_proportion=0.05006, over 70.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3492, pruned_loss=0.101, over 2771314.87 frames. utt_duration=240.3 frames, utt_pad_proportion=0.0748, over 46427.13 utterances.], batch size: 70, lr: 1.79e-04
+2022-09-19 10:39:37,587 INFO [train.py:885] (1/2) Epoch 26, batch 10950, loss[loss=0.3339, simple_loss=0.3894, pruned_loss=0.1393, over 14315.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03962, over 262.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3486, pruned_loss=0.1007, over 2771058.84 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07484, over 46633.53 utterances.], batch size: 262, lr: 1.79e-04
+2022-09-19 10:40:06,661 INFO [train.py:885] (1/2) Epoch 26, batch 11000, loss[loss=0.1826, simple_loss=0.2578, pruned_loss=0.05365, over 13857.00 frames. utt_duration=925.2 frames, utt_pad_proportion=0.06922, over 60.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3483, pruned_loss=0.1007, over 2775362.58 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07262, over 46476.05 utterances.], batch size: 60, lr: 1.79e-04
+2022-09-19 10:40:36,154 INFO [train.py:885] (1/2) Epoch 26, batch 11050, loss[loss=0.268, simple_loss=0.345, pruned_loss=0.09549, over 14367.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03529, over 210.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3484, pruned_loss=0.1001, over 2779124.00 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07115, over 47039.69 utterances.], batch size: 210, lr: 1.79e-04
+2022-09-19 10:41:06,092 INFO [train.py:885] (1/2) Epoch 26, batch 11100, loss[loss=0.4293, simple_loss=0.4709, pruned_loss=0.1939, over 14214.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04315, over 306.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3489, pruned_loss=0.09959, over 2774947.17 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07119, over 47863.70 utterances.], batch size: 306, lr: 1.79e-04
+2022-09-19 10:41:34,852 INFO [train.py:885] (1/2) Epoch 26, batch 11150, loss[loss=0.2517, simple_loss=0.3298, pruned_loss=0.08678, over 14356.00 frames. utt_duration=443.1 frames, utt_pad_proportion=0.03684, over 130.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3447, pruned_loss=0.09861, over 2781051.42 frames. utt_duration=248.2 frames, utt_pad_proportion=0.06899, over 45080.50 utterances.], batch size: 130, lr: 1.79e-04
+2022-09-19 10:42:04,227 INFO [train.py:885] (1/2) Epoch 26, batch 11200, loss[loss=0.1747, simple_loss=0.2489, pruned_loss=0.05026, over 13691.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.0782, over 50.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3441, pruned_loss=0.09803, over 2780272.46 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06974, over 44295.86 utterances.], batch size: 50, lr: 1.79e-04
+2022-09-19 10:42:34,118 INFO [train.py:885] (1/2) Epoch 26, batch 11250, loss[loss=0.2389, simple_loss=0.3061, pruned_loss=0.0858, over 14248.00 frames. utt_duration=524.4 frames, utt_pad_proportion=0.03952, over 109.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3465, pruned_loss=0.09904, over 2781761.27 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07122, over 45805.86 utterances.], batch size: 109, lr: 1.79e-04
+2022-09-19 10:43:03,906 INFO [train.py:885] (1/2) Epoch 26, batch 11300, loss[loss=0.1224, simple_loss=0.1653, pruned_loss=0.03973, over 13060.00 frames. utt_duration=2091 frames, utt_pad_proportion=0.1208, over 25.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3436, pruned_loss=0.09856, over 2783054.65 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07013, over 44590.67 utterances.], batch size: 25, lr: 1.79e-04
+2022-09-19 10:43:33,020 INFO [train.py:885] (1/2) Epoch 26, batch 11350, loss[loss=0.1644, simple_loss=0.2311, pruned_loss=0.04885, over 13567.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08585, over 50.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3419, pruned_loss=0.09789, over 2783455.92 frames. utt_duration=254.8 frames, utt_pad_proportion=0.0691, over 43944.61 utterances.], batch size: 50, lr: 1.79e-04
+2022-09-19 10:44:02,217 INFO [train.py:885] (1/2) Epoch 26, batch 11400, loss[loss=0.2777, simple_loss=0.3815, pruned_loss=0.08691, over 13701.00 frames. utt_duration=116.4 frames, utt_pad_proportion=0.07632, over 477.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3437, pruned_loss=0.09898, over 2784845.52 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06937, over 44097.23 utterances.], batch size: 477, lr: 1.79e-04
+2022-09-19 10:44:32,327 INFO [train.py:885] (1/2) Epoch 26, batch 11450, loss[loss=0.2337, simple_loss=0.3064, pruned_loss=0.08048, over 14143.00 frames. utt_duration=520.5 frames, utt_pad_proportion=0.04664, over 109.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3476, pruned_loss=0.1002, over 2777663.77 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07341, over 46476.54 utterances.], batch size: 109, lr: 1.79e-04
+2022-09-19 10:45:01,155 INFO [train.py:885] (1/2) Epoch 26, batch 11500, loss[loss=0.225, simple_loss=0.2702, pruned_loss=0.08986, over 13403.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08601, over 41.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3453, pruned_loss=0.09927, over 2778658.74 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07084, over 45493.55 utterances.], batch size: 41, lr: 1.79e-04
+2022-09-19 10:45:30,524 INFO [train.py:885] (1/2) Epoch 26, batch 11550, loss[loss=0.1687, simple_loss=0.2216, pruned_loss=0.05788, over 13176.00 frames. utt_duration=1599 frames, utt_pad_proportion=0.1163, over 33.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.347, pruned_loss=0.1004, over 2784225.66 frames. utt_duration=243.6 frames, utt_pad_proportion=0.0693, over 45991.03 utterances.], batch size: 33, lr: 1.79e-04
+2022-09-19 10:46:00,930 INFO [train.py:885] (1/2) Epoch 26, batch 11600, loss[loss=0.3062, simple_loss=0.4012, pruned_loss=0.1056, over 13605.00 frames. utt_duration=115.3 frames, utt_pad_proportion=0.08455, over 478.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3494, pruned_loss=0.1013, over 2779017.50 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07313, over 47314.22 utterances.], batch size: 478, lr: 1.79e-04
+2022-09-19 10:46:29,911 INFO [train.py:885] (1/2) Epoch 26, batch 11650, loss[loss=0.3103, simple_loss=0.3813, pruned_loss=0.1196, over 14195.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04452, over 306.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.344, pruned_loss=0.09864, over 2779469.65 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07134, over 44954.20 utterances.], batch size: 306, lr: 1.79e-04
+2022-09-19 10:46:58,711 INFO [train.py:885] (1/2) Epoch 26, batch 11700, loss[loss=0.171, simple_loss=0.2258, pruned_loss=0.0581, over 13128.00 frames. utt_duration=1593 frames, utt_pad_proportion=0.1078, over 33.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3447, pruned_loss=0.09863, over 2779464.09 frames. utt_duration=249 frames, utt_pad_proportion=0.07072, over 44911.31 utterances.], batch size: 33, lr: 1.79e-04
+2022-09-19 10:47:29,012 INFO [train.py:885] (1/2) Epoch 26, batch 11750, loss[loss=0.3286, simple_loss=0.3643, pruned_loss=0.1465, over 14187.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04406, over 109.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3481, pruned_loss=0.1008, over 2779281.19 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07219, over 45667.88 utterances.], batch size: 109, lr: 1.79e-04
+2022-09-19 10:48:06,267 INFO [train.py:885] (1/2) Epoch 26, batch 11800, loss[loss=0.3175, simple_loss=0.3882, pruned_loss=0.1234, over 14163.00 frames. utt_duration=186.7 frames, utt_pad_proportion=0.04724, over 306.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3499, pruned_loss=0.1017, over 2779920.87 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07197, over 46686.25 utterances.], batch size: 306, lr: 1.79e-04
+2022-09-19 10:48:35,785 INFO [train.py:885] (1/2) Epoch 26, batch 11850, loss[loss=0.1751, simple_loss=0.2428, pruned_loss=0.05375, over 13836.00 frames. utt_duration=923.7 frames, utt_pad_proportion=0.06695, over 60.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3495, pruned_loss=0.1013, over 2776201.34 frames. utt_duration=239.1 frames, utt_pad_proportion=0.0722, over 46728.76 utterances.], batch size: 60, lr: 1.79e-04
+2022-09-19 10:49:04,699 INFO [train.py:885] (1/2) Epoch 26, batch 11900, loss[loss=0.3998, simple_loss=0.4361, pruned_loss=0.1817, over 14316.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.0375, over 180.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3475, pruned_loss=0.1008, over 2778018.24 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07202, over 45964.43 utterances.], batch size: 180, lr: 1.79e-04
+2022-09-19 10:49:33,846 INFO [train.py:885] (1/2) Epoch 26, batch 11950, loss[loss=0.1645, simple_loss=0.2292, pruned_loss=0.04993, over 13623.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08356, over 50.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3473, pruned_loss=0.1019, over 2774466.79 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07398, over 45473.66 utterances.], batch size: 50, lr: 1.79e-04
+2022-09-19 10:50:03,542 INFO [train.py:885] (1/2) Epoch 26, batch 12000, loss[loss=0.2474, simple_loss=0.326, pruned_loss=0.08436, over 14296.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04145, over 154.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3468, pruned_loss=0.1018, over 2776641.18 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07275, over 44231.76 utterances.], batch size: 154, lr: 1.79e-04
+2022-09-19 10:50:03,543 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 10:50:07,728 INFO [train.py:914] (1/2) Epoch 26, validation: loss=0.1838, simple_loss=0.2642, pruned_loss=0.05177, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 10:50:36,811 INFO [train.py:885] (1/2) Epoch 26, batch 12050, loss[loss=0.1822, simple_loss=0.2406, pruned_loss=0.06191, over 13611.00 frames. utt_duration=908.7 frames, utt_pad_proportion=0.08767, over 60.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3457, pruned_loss=0.101, over 2776824.48 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07311, over 44229.74 utterances.], batch size: 60, lr: 1.79e-04
+2022-09-19 10:51:06,295 INFO [train.py:885] (1/2) Epoch 26, batch 12100, loss[loss=0.269, simple_loss=0.3515, pruned_loss=0.0932, over 14353.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03596, over 210.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3516, pruned_loss=0.1032, over 2780428.70 frames. utt_duration=237.8 frames, utt_pad_proportion=0.0731, over 47054.80 utterances.], batch size: 210, lr: 1.79e-04
+2022-09-19 10:51:35,975 INFO [train.py:885] (1/2) Epoch 26, batch 12150, loss[loss=0.2798, simple_loss=0.3732, pruned_loss=0.09315, over 14011.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05535, over 365.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3511, pruned_loss=0.1029, over 2775934.23 frames. utt_duration=236.3 frames, utt_pad_proportion=0.0763, over 47284.54 utterances.], batch size: 365, lr: 1.79e-04
+2022-09-19 10:52:05,417 INFO [train.py:885] (1/2) Epoch 26, batch 12200, loss[loss=0.4065, simple_loss=0.4466, pruned_loss=0.1832, over 14318.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03794, over 195.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3516, pruned_loss=0.1025, over 2777607.99 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07503, over 47766.90 utterances.], batch size: 195, lr: 1.79e-04
+2022-09-19 10:52:34,786 INFO [train.py:885] (1/2) Epoch 26, batch 12250, loss[loss=0.1609, simple_loss=0.2325, pruned_loss=0.04466, over 13538.00 frames. utt_duration=1291 frames, utt_pad_proportion=0.09611, over 42.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3499, pruned_loss=0.1018, over 2772904.75 frames. utt_duration=236.7 frames, utt_pad_proportion=0.0766, over 47162.23 utterances.], batch size: 42, lr: 1.79e-04
+2022-09-19 10:53:04,110 INFO [train.py:885] (1/2) Epoch 26, batch 12300, loss[loss=0.2542, simple_loss=0.3314, pruned_loss=0.08844, over 14242.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04252, over 225.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3524, pruned_loss=0.1034, over 2774598.46 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07675, over 48338.15 utterances.], batch size: 225, lr: 1.79e-04
+2022-09-19 10:53:34,072 INFO [train.py:885] (1/2) Epoch 26, batch 12350, loss[loss=0.3414, simple_loss=0.4057, pruned_loss=0.1386, over 14255.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04237, over 335.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3506, pruned_loss=0.1019, over 2777310.50 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07409, over 48204.44 utterances.], batch size: 335, lr: 1.79e-04
+2022-09-19 10:54:03,090 INFO [train.py:885] (1/2) Epoch 26, batch 12400, loss[loss=0.2984, simple_loss=0.351, pruned_loss=0.1229, over 14176.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04453, over 109.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3483, pruned_loss=0.1007, over 2781361.67 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07269, over 46607.48 utterances.], batch size: 109, lr: 1.79e-04
+2022-09-19 10:54:32,733 INFO [train.py:885] (1/2) Epoch 26, batch 12450, loss[loss=0.2701, simple_loss=0.3464, pruned_loss=0.09689, over 14363.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03821, over 167.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3502, pruned_loss=0.1014, over 2782731.65 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07357, over 47043.33 utterances.], batch size: 167, lr: 1.79e-04
+2022-09-19 10:55:01,507 INFO [train.py:885] (1/2) Epoch 26, batch 12500, loss[loss=0.4383, simple_loss=0.5393, pruned_loss=0.1687, over 12519.00 frames. utt_duration=63.38 frames, utt_pad_proportion=0.1435, over 810.00 utterances.], tot_loss[loss=0.28, simple_loss=0.3533, pruned_loss=0.1034, over 2781731.10 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07534, over 48305.40 utterances.], batch size: 810, lr: 1.79e-04
+2022-09-19 10:55:31,454 INFO [train.py:885] (1/2) Epoch 26, batch 12550, loss[loss=0.2772, simple_loss=0.3358, pruned_loss=0.1093, over 14230.00 frames. utt_duration=641 frames, utt_pad_proportion=0.04615, over 89.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3517, pruned_loss=0.1026, over 2787157.60 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07197, over 46842.60 utterances.], batch size: 89, lr: 1.79e-04
+2022-09-19 10:55:59,411 INFO [train.py:885] (1/2) Epoch 26, batch 12600, loss[loss=0.1636, simple_loss=0.2368, pruned_loss=0.04526, over 14100.00 frames. utt_duration=715.3 frames, utt_pad_proportion=0.0488, over 79.00 utterances.], tot_loss[loss=0.277, simple_loss=0.3503, pruned_loss=0.1018, over 2785401.57 frames. utt_duration=240.7 frames, utt_pad_proportion=0.0718, over 46566.88 utterances.], batch size: 79, lr: 1.79e-04
+2022-09-19 10:56:19,367 INFO [train.py:885] (1/2) Epoch 27, batch 0, loss[loss=0.3542, simple_loss=0.407, pruned_loss=0.1507, over 14241.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04299, over 335.00 utterances.], tot_loss[loss=0.3542, simple_loss=0.407, pruned_loss=0.1507, over 14241.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04299, over 335.00 utterances.], batch size: 335, lr: 1.76e-04
+2022-09-19 10:56:52,083 INFO [train.py:885] (1/2) Epoch 27, batch 50, loss[loss=0.5014, simple_loss=0.5888, pruned_loss=0.207, over 12508.00 frames. utt_duration=63.3 frames, utt_pad_proportion=0.1446, over 810.00 utterances.], tot_loss[loss=0.2881, simple_loss=0.3628, pruned_loss=0.1067, over 624861.91 frames. utt_duration=204 frames, utt_pad_proportion=0.07997, over 12345.60 utterances.], batch size: 810, lr: 1.76e-04
+2022-09-19 10:57:20,784 INFO [train.py:885] (1/2) Epoch 27, batch 100, loss[loss=0.2387, simple_loss=0.3327, pruned_loss=0.07241, over 14250.00 frames. utt_duration=439.8 frames, utt_pad_proportion=0.04393, over 130.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3396, pruned_loss=0.09576, over 1104595.96 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06997, over 17685.35 utterances.], batch size: 130, lr: 1.76e-04
+2022-09-19 10:57:49,934 INFO [train.py:885] (1/2) Epoch 27, batch 150, loss[loss=0.3398, simple_loss=0.4393, pruned_loss=0.1201, over 13571.00 frames. utt_duration=98.26 frames, utt_pad_proportion=0.08164, over 560.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3413, pruned_loss=0.09727, over 1476301.16 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07034, over 23244.91 utterances.], batch size: 560, lr: 1.76e-04
+2022-09-19 10:58:19,252 INFO [train.py:885] (1/2) Epoch 27, batch 200, loss[loss=0.3012, simple_loss=0.3745, pruned_loss=0.114, over 14320.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03844, over 283.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3416, pruned_loss=0.09753, over 1765426.40 frames. utt_duration=260.2 frames, utt_pad_proportion=0.07054, over 27295.84 utterances.], batch size: 283, lr: 1.76e-04
+2022-09-19 10:58:49,368 INFO [train.py:885] (1/2) Epoch 27, batch 250, loss[loss=0.2767, simple_loss=0.3433, pruned_loss=0.1051, over 14344.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03898, over 167.00 utterances.], tot_loss[loss=0.268, simple_loss=0.341, pruned_loss=0.09744, over 1989523.15 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06824, over 30969.25 utterances.], batch size: 167, lr: 1.76e-04
+2022-09-19 10:59:18,740 INFO [train.py:885] (1/2) Epoch 27, batch 300, loss[loss=0.1823, simple_loss=0.2654, pruned_loss=0.04957, over 14049.00 frames. utt_duration=712.9 frames, utt_pad_proportion=0.05695, over 79.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3383, pruned_loss=0.09567, over 2168450.12 frames. utt_duration=266.5 frames, utt_pad_proportion=0.06699, over 32724.75 utterances.], batch size: 79, lr: 1.76e-04
+2022-09-19 10:59:47,895 INFO [train.py:885] (1/2) Epoch 27, batch 350, loss[loss=0.2875, simple_loss=0.3597, pruned_loss=0.1077, over 14287.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03613, over 225.00 utterances.], tot_loss[loss=0.2657, simple_loss=0.3391, pruned_loss=0.0962, over 2300417.35 frames. utt_duration=264 frames, utt_pad_proportion=0.07142, over 35053.90 utterances.], batch size: 225, lr: 1.76e-04
+2022-09-19 11:00:17,611 INFO [train.py:885] (1/2) Epoch 27, batch 400, loss[loss=0.4983, simple_loss=0.5918, pruned_loss=0.2024, over 12525.00 frames. utt_duration=63.34 frames, utt_pad_proportion=0.1441, over 810.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3421, pruned_loss=0.09732, over 2405797.65 frames. utt_duration=253 frames, utt_pad_proportion=0.07311, over 38267.37 utterances.], batch size: 810, lr: 1.75e-04
+2022-09-19 11:00:47,691 INFO [train.py:885] (1/2) Epoch 27, batch 450, loss[loss=0.2051, simple_loss=0.2737, pruned_loss=0.06829, over 14062.00 frames. utt_duration=575.4 frames, utt_pad_proportion=0.05521, over 98.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3426, pruned_loss=0.0972, over 2490706.75 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07099, over 39729.29 utterances.], batch size: 98, lr: 1.75e-04
+2022-09-19 11:01:17,048 INFO [train.py:885] (1/2) Epoch 27, batch 500, loss[loss=0.2949, simple_loss=0.3892, pruned_loss=0.1003, over 14007.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05548, over 365.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3438, pruned_loss=0.09836, over 2558811.51 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06889, over 40677.27 utterances.], batch size: 365, lr: 1.75e-04
+2022-09-19 11:01:45,985 INFO [train.py:885] (1/2) Epoch 27, batch 550, loss[loss=0.3008, simple_loss=0.3727, pruned_loss=0.1145, over 14292.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04003, over 262.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3439, pruned_loss=0.09884, over 2614754.38 frames. utt_duration=259.3 frames, utt_pad_proportion=0.06542, over 40567.69 utterances.], batch size: 262, lr: 1.75e-04
+2022-09-19 11:02:15,793 INFO [train.py:885] (1/2) Epoch 27, batch 600, loss[loss=0.267, simple_loss=0.3436, pruned_loss=0.0952, over 14221.00 frames. utt_duration=254.4 frames, utt_pad_proportion=0.04378, over 225.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3436, pruned_loss=0.09873, over 2651869.74 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06472, over 41367.62 utterances.], batch size: 225, lr: 1.75e-04
+2022-09-19 11:02:45,504 INFO [train.py:885] (1/2) Epoch 27, batch 650, loss[loss=0.2701, simple_loss=0.3756, pruned_loss=0.08236, over 13779.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07118, over 411.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3471, pruned_loss=0.1006, over 2676769.83 frames. utt_duration=247 frames, utt_pad_proportion=0.06803, over 43605.63 utterances.], batch size: 411, lr: 1.75e-04
+2022-09-19 11:03:15,173 INFO [train.py:885] (1/2) Epoch 27, batch 700, loss[loss=0.301, simple_loss=0.4105, pruned_loss=0.09576, over 13602.00 frames. utt_duration=98.48 frames, utt_pad_proportion=0.07961, over 560.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.348, pruned_loss=0.1016, over 2698457.96 frames. utt_duration=244.4 frames, utt_pad_proportion=0.06881, over 44435.23 utterances.], batch size: 560, lr: 1.75e-04
+2022-09-19 11:03:44,201 INFO [train.py:885] (1/2) Epoch 27, batch 750, loss[loss=0.2506, simple_loss=0.3204, pruned_loss=0.09042, over 14328.00 frames. utt_duration=479 frames, utt_pad_proportion=0.03824, over 120.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3437, pruned_loss=0.09899, over 2718533.80 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06858, over 43723.78 utterances.], batch size: 120, lr: 1.75e-04
+2022-09-19 11:04:13,771 INFO [train.py:885] (1/2) Epoch 27, batch 800, loss[loss=0.2117, simple_loss=0.2916, pruned_loss=0.06595, over 14118.00 frames. utt_duration=577.7 frames, utt_pad_proportion=0.05137, over 98.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3448, pruned_loss=0.09942, over 2734765.41 frames. utt_duration=246.3 frames, utt_pad_proportion=0.06908, over 44683.14 utterances.], batch size: 98, lr: 1.75e-04
+2022-09-19 11:04:50,375 INFO [train.py:885] (1/2) Epoch 27, batch 850, loss[loss=0.253, simple_loss=0.3367, pruned_loss=0.08469, over 14247.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04204, over 225.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3465, pruned_loss=0.1003, over 2744655.24 frames. utt_duration=243.3 frames, utt_pad_proportion=0.06904, over 45404.68 utterances.], batch size: 225, lr: 1.75e-04
+2022-09-19 11:05:20,657 INFO [train.py:885] (1/2) Epoch 27, batch 900, loss[loss=0.2875, simple_loss=0.3625, pruned_loss=0.1063, over 14235.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04213, over 306.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3483, pruned_loss=0.1014, over 2753452.00 frames. utt_duration=242.9 frames, utt_pad_proportion=0.06927, over 45610.85 utterances.], batch size: 306, lr: 1.75e-04
+2022-09-19 11:05:49,576 INFO [train.py:885] (1/2) Epoch 27, batch 950, loss[loss=0.249, simple_loss=0.3201, pruned_loss=0.08892, over 14260.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04436, over 141.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3485, pruned_loss=0.1016, over 2759352.08 frames. utt_duration=242.2 frames, utt_pad_proportion=0.06983, over 45844.91 utterances.], batch size: 141, lr: 1.75e-04
+2022-09-19 11:06:20,251 INFO [train.py:885] (1/2) Epoch 27, batch 1000, loss[loss=0.2693, simple_loss=0.3499, pruned_loss=0.09439, over 14306.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03834, over 180.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3536, pruned_loss=0.1029, over 2758145.46 frames. utt_duration=226.2 frames, utt_pad_proportion=0.07289, over 49082.77 utterances.], batch size: 180, lr: 1.75e-04
+2022-09-19 11:06:49,436 INFO [train.py:885] (1/2) Epoch 27, batch 1050, loss[loss=0.342, simple_loss=0.4296, pruned_loss=0.1272, over 13590.00 frames. utt_duration=98.46 frames, utt_pad_proportion=0.07981, over 560.00 utterances.], tot_loss[loss=0.2785, simple_loss=0.3529, pruned_loss=0.1021, over 2761206.64 frames. utt_duration=226.7 frames, utt_pad_proportion=0.07233, over 49041.32 utterances.], batch size: 560, lr: 1.75e-04
+2022-09-19 11:07:19,293 INFO [train.py:885] (1/2) Epoch 27, batch 1100, loss[loss=0.2329, simple_loss=0.298, pruned_loss=0.08388, over 14089.00 frames. utt_duration=576.7 frames, utt_pad_proportion=0.0531, over 98.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3525, pruned_loss=0.1019, over 2764277.94 frames. utt_duration=230.2 frames, utt_pad_proportion=0.07334, over 48344.30 utterances.], batch size: 98, lr: 1.75e-04
+2022-09-19 11:07:47,934 INFO [train.py:885] (1/2) Epoch 27, batch 1150, loss[loss=0.1995, simple_loss=0.274, pruned_loss=0.06254, over 13466.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.09411, over 50.00 utterances.], tot_loss[loss=0.2803, simple_loss=0.3539, pruned_loss=0.1034, over 2767783.55 frames. utt_duration=227.6 frames, utt_pad_proportion=0.07464, over 48968.98 utterances.], batch size: 50, lr: 1.75e-04
+2022-09-19 11:08:17,872 INFO [train.py:885] (1/2) Epoch 27, batch 1200, loss[loss=0.1752, simple_loss=0.233, pruned_loss=0.05872, over 13420.00 frames. utt_duration=1629 frames, utt_pad_proportion=0.1002, over 33.00 utterances.], tot_loss[loss=0.279, simple_loss=0.3527, pruned_loss=0.1026, over 2768548.26 frames. utt_duration=228.8 frames, utt_pad_proportion=0.0751, over 48722.02 utterances.], batch size: 33, lr: 1.75e-04
+2022-09-19 11:08:47,008 INFO [train.py:885] (1/2) Epoch 27, batch 1250, loss[loss=0.224, simple_loss=0.3048, pruned_loss=0.07159, over 14196.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.0435, over 109.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3473, pruned_loss=0.09976, over 2768173.01 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07393, over 46699.83 utterances.], batch size: 109, lr: 1.75e-04
+2022-09-19 11:09:16,759 INFO [train.py:885] (1/2) Epoch 27, batch 1300, loss[loss=0.2594, simple_loss=0.3404, pruned_loss=0.08918, over 14342.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.03521, over 130.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3505, pruned_loss=0.1017, over 2770362.76 frames. utt_duration=230.3 frames, utt_pad_proportion=0.07411, over 48434.58 utterances.], batch size: 130, lr: 1.75e-04
+2022-09-19 11:09:45,851 INFO [train.py:885] (1/2) Epoch 27, batch 1350, loss[loss=0.2742, simple_loss=0.3424, pruned_loss=0.103, over 14303.00 frames. utt_duration=373 frames, utt_pad_proportion=0.03864, over 154.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3469, pruned_loss=0.1004, over 2778187.27 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07036, over 46303.07 utterances.], batch size: 154, lr: 1.75e-04
+2022-09-19 11:10:15,701 INFO [train.py:885] (1/2) Epoch 27, batch 1400, loss[loss=0.2592, simple_loss=0.3501, pruned_loss=0.08414, over 14317.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03769, over 226.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3499, pruned_loss=0.1011, over 2778521.76 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07117, over 48089.21 utterances.], batch size: 226, lr: 1.75e-04
+2022-09-19 11:10:45,286 INFO [train.py:885] (1/2) Epoch 27, batch 1450, loss[loss=0.3057, simple_loss=0.3775, pruned_loss=0.1169, over 14273.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04043, over 225.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3494, pruned_loss=0.1009, over 2779329.16 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07098, over 47874.92 utterances.], batch size: 225, lr: 1.75e-04
+2022-09-19 11:11:14,452 INFO [train.py:885] (1/2) Epoch 27, batch 1500, loss[loss=0.3975, simple_loss=0.4409, pruned_loss=0.1771, over 14276.00 frames. utt_duration=203.3 frames, utt_pad_proportion=0.04107, over 283.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3492, pruned_loss=0.1014, over 2783939.28 frames. utt_duration=237.6 frames, utt_pad_proportion=0.06878, over 47151.06 utterances.], batch size: 283, lr: 1.75e-04
+2022-09-19 11:11:44,597 INFO [train.py:885] (1/2) Epoch 27, batch 1550, loss[loss=0.2267, simple_loss=0.2899, pruned_loss=0.08177, over 13827.00 frames. utt_duration=923 frames, utt_pad_proportion=0.07233, over 60.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3484, pruned_loss=0.1009, over 2788234.33 frames. utt_duration=238.7 frames, utt_pad_proportion=0.06761, over 47015.07 utterances.], batch size: 60, lr: 1.75e-04
+2022-09-19 11:12:13,397 INFO [train.py:885] (1/2) Epoch 27, batch 1600, loss[loss=0.29, simple_loss=0.3616, pruned_loss=0.1092, over 14260.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04107, over 225.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3444, pruned_loss=0.0991, over 2792539.92 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06626, over 44909.66 utterances.], batch size: 225, lr: 1.75e-04
+2022-09-19 11:12:43,556 INFO [train.py:885] (1/2) Epoch 27, batch 1650, loss[loss=0.2894, simple_loss=0.3573, pruned_loss=0.1108, over 14304.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03854, over 180.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3463, pruned_loss=0.09993, over 2787668.33 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06769, over 45835.05 utterances.], batch size: 180, lr: 1.75e-04
+2022-09-19 11:13:12,504 INFO [train.py:885] (1/2) Epoch 27, batch 1700, loss[loss=0.2336, simple_loss=0.3021, pruned_loss=0.08253, over 14047.00 frames. utt_duration=574.6 frames, utt_pad_proportion=0.05806, over 98.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3454, pruned_loss=0.0997, over 2788180.78 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06736, over 45084.62 utterances.], batch size: 98, lr: 1.75e-04
+2022-09-19 11:13:42,048 INFO [train.py:885] (1/2) Epoch 27, batch 1750, loss[loss=0.3282, simple_loss=0.4283, pruned_loss=0.114, over 13630.00 frames. utt_duration=98.73 frames, utt_pad_proportion=0.07727, over 560.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3494, pruned_loss=0.1011, over 2784668.43 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07077, over 47064.66 utterances.], batch size: 560, lr: 1.75e-04
+2022-09-19 11:14:11,452 INFO [train.py:885] (1/2) Epoch 27, batch 1800, loss[loss=0.1673, simple_loss=0.2371, pruned_loss=0.04868, over 12780.00 frames. utt_duration=2047 frames, utt_pad_proportion=0.1361, over 25.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3479, pruned_loss=0.1006, over 2778746.78 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07389, over 46685.34 utterances.], batch size: 25, lr: 1.75e-04
+2022-09-19 11:14:41,284 INFO [train.py:885] (1/2) Epoch 27, batch 1850, loss[loss=0.2054, simple_loss=0.2717, pruned_loss=0.06952, over 14124.00 frames. utt_duration=578 frames, utt_pad_proportion=0.05097, over 98.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3436, pruned_loss=0.09947, over 2781457.01 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07292, over 44606.78 utterances.], batch size: 98, lr: 1.75e-04
+2022-09-19 11:15:10,577 INFO [train.py:885] (1/2) Epoch 27, batch 1900, loss[loss=0.4332, simple_loss=0.4572, pruned_loss=0.2046, over 14276.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04019, over 180.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.343, pruned_loss=0.09844, over 2782914.74 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07058, over 44629.54 utterances.], batch size: 180, lr: 1.75e-04
+2022-09-19 11:15:40,450 INFO [train.py:885] (1/2) Epoch 27, batch 1950, loss[loss=0.2202, simple_loss=0.302, pruned_loss=0.06919, over 14334.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.03581, over 130.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3424, pruned_loss=0.09799, over 2780082.00 frames. utt_duration=251.4 frames, utt_pad_proportion=0.0708, over 44500.53 utterances.], batch size: 130, lr: 1.75e-04
+2022-09-19 11:16:10,107 INFO [train.py:885] (1/2) Epoch 27, batch 2000, loss[loss=0.1818, simple_loss=0.2529, pruned_loss=0.05534, over 13948.00 frames. utt_duration=931.2 frames, utt_pad_proportion=0.06412, over 60.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3456, pruned_loss=0.1003, over 2778708.45 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07142, over 44916.22 utterances.], batch size: 60, lr: 1.75e-04
+2022-09-19 11:16:39,140 INFO [train.py:885] (1/2) Epoch 27, batch 2050, loss[loss=0.3198, simple_loss=0.3829, pruned_loss=0.1284, over 14351.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03615, over 283.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3441, pruned_loss=0.1006, over 2779104.84 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07023, over 43766.72 utterances.], batch size: 283, lr: 1.75e-04
+2022-09-19 11:17:08,473 INFO [train.py:885] (1/2) Epoch 27, batch 2100, loss[loss=0.2901, simple_loss=0.364, pruned_loss=0.1081, over 14331.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03758, over 210.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3432, pruned_loss=0.09932, over 2780684.55 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06948, over 43885.74 utterances.], batch size: 210, lr: 1.75e-04
+2022-09-19 11:17:38,806 INFO [train.py:885] (1/2) Epoch 27, batch 2150, loss[loss=0.2612, simple_loss=0.3207, pruned_loss=0.1009, over 14205.00 frames. utt_duration=522.7 frames, utt_pad_proportion=0.04266, over 109.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3414, pruned_loss=0.09822, over 2783940.64 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06766, over 43060.93 utterances.], batch size: 109, lr: 1.75e-04
+2022-09-19 11:18:08,237 INFO [train.py:885] (1/2) Epoch 27, batch 2200, loss[loss=0.2661, simple_loss=0.3311, pruned_loss=0.1005, over 14303.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.04006, over 120.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3446, pruned_loss=0.09909, over 2784301.83 frames. utt_duration=250.4 frames, utt_pad_proportion=0.069, over 44742.92 utterances.], batch size: 120, lr: 1.75e-04
+2022-09-19 11:18:37,982 INFO [train.py:885] (1/2) Epoch 27, batch 2250, loss[loss=0.3383, simple_loss=0.4138, pruned_loss=0.1313, over 14206.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04415, over 306.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3458, pruned_loss=0.09947, over 2780280.06 frames. utt_duration=244 frames, utt_pad_proportion=0.06987, over 45857.29 utterances.], batch size: 306, lr: 1.75e-04
+2022-09-19 11:19:07,442 INFO [train.py:885] (1/2) Epoch 27, batch 2300, loss[loss=0.1627, simple_loss=0.2419, pruned_loss=0.04172, over 13829.00 frames. utt_duration=923.4 frames, utt_pad_proportion=0.06635, over 60.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3437, pruned_loss=0.09805, over 2782489.16 frames. utt_duration=248.1 frames, utt_pad_proportion=0.0696, over 45120.71 utterances.], batch size: 60, lr: 1.75e-04
+2022-09-19 11:19:36,941 INFO [train.py:885] (1/2) Epoch 27, batch 2350, loss[loss=0.3116, simple_loss=0.3824, pruned_loss=0.1204, over 14186.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.0454, over 306.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3412, pruned_loss=0.09684, over 2781392.98 frames. utt_duration=251.4 frames, utt_pad_proportion=0.06789, over 44515.50 utterances.], batch size: 306, lr: 1.75e-04
+2022-09-19 11:20:06,422 INFO [train.py:885] (1/2) Epoch 27, batch 2400, loss[loss=0.2366, simple_loss=0.2826, pruned_loss=0.09534, over 14074.00 frames. utt_duration=576 frames, utt_pad_proportion=0.05425, over 98.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3445, pruned_loss=0.09889, over 2783168.17 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06883, over 45258.61 utterances.], batch size: 98, lr: 1.75e-04
+2022-09-19 11:20:36,365 INFO [train.py:885] (1/2) Epoch 27, batch 2450, loss[loss=0.3063, simple_loss=0.3765, pruned_loss=0.118, over 14325.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03862, over 262.00 utterances.], tot_loss[loss=0.274, simple_loss=0.347, pruned_loss=0.1004, over 2783148.01 frames. utt_duration=244.6 frames, utt_pad_proportion=0.0695, over 45788.92 utterances.], batch size: 262, lr: 1.75e-04
+2022-09-19 11:21:05,810 INFO [train.py:885] (1/2) Epoch 27, batch 2500, loss[loss=0.154, simple_loss=0.2268, pruned_loss=0.04063, over 13285.00 frames. utt_duration=1297 frames, utt_pad_proportion=0.09205, over 41.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3419, pruned_loss=0.09836, over 2781969.91 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06738, over 43876.05 utterances.], batch size: 41, lr: 1.75e-04
+2022-09-19 11:21:35,784 INFO [train.py:885] (1/2) Epoch 27, batch 2550, loss[loss=0.2005, simple_loss=0.2866, pruned_loss=0.05722, over 14184.00 frames. utt_duration=638.9 frames, utt_pad_proportion=0.04639, over 89.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3428, pruned_loss=0.09876, over 2781432.04 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06869, over 44259.16 utterances.], batch size: 89, lr: 1.75e-04
+2022-09-19 11:22:04,659 INFO [train.py:885] (1/2) Epoch 27, batch 2600, loss[loss=0.2421, simple_loss=0.3081, pruned_loss=0.08808, over 14301.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03956, over 120.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3449, pruned_loss=0.09965, over 2782951.98 frames. utt_duration=251.1 frames, utt_pad_proportion=0.0693, over 44597.47 utterances.], batch size: 120, lr: 1.75e-04
+2022-09-19 11:22:34,502 INFO [train.py:885] (1/2) Epoch 27, batch 2650, loss[loss=0.1689, simple_loss=0.2441, pruned_loss=0.04686, over 13879.00 frames. utt_duration=926.5 frames, utt_pad_proportion=0.06879, over 60.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3471, pruned_loss=0.1009, over 2781018.83 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07057, over 45799.37 utterances.], batch size: 60, lr: 1.75e-04
+2022-09-19 11:23:03,920 INFO [train.py:885] (1/2) Epoch 27, batch 2700, loss[loss=0.3028, simple_loss=0.3766, pruned_loss=0.1145, over 14287.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04112, over 262.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.344, pruned_loss=0.09941, over 2779094.77 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06977, over 44753.22 utterances.], batch size: 262, lr: 1.75e-04
+2022-09-19 11:23:33,608 INFO [train.py:885] (1/2) Epoch 27, batch 2750, loss[loss=0.2923, simple_loss=0.3653, pruned_loss=0.1096, over 14298.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03984, over 283.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3436, pruned_loss=0.09923, over 2776637.75 frames. utt_duration=249.6 frames, utt_pad_proportion=0.0703, over 44755.02 utterances.], batch size: 283, lr: 1.75e-04
+2022-09-19 11:24:03,067 INFO [train.py:885] (1/2) Epoch 27, batch 2800, loss[loss=0.2578, simple_loss=0.3395, pruned_loss=0.08808, over 14379.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03208, over 244.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3455, pruned_loss=0.09929, over 2779107.56 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07145, over 46193.29 utterances.], batch size: 244, lr: 1.75e-04
+2022-09-19 11:24:32,654 INFO [train.py:885] (1/2) Epoch 27, batch 2850, loss[loss=0.2144, simple_loss=0.2785, pruned_loss=0.07515, over 14096.00 frames. utt_duration=576.9 frames, utt_pad_proportion=0.05119, over 98.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3457, pruned_loss=0.09964, over 2784562.73 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06861, over 45342.67 utterances.], batch size: 98, lr: 1.75e-04
+2022-09-19 11:25:02,676 INFO [train.py:885] (1/2) Epoch 27, batch 2900, loss[loss=0.3026, simple_loss=0.3702, pruned_loss=0.1175, over 14358.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03632, over 283.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.344, pruned_loss=0.0987, over 2783401.51 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06898, over 45026.96 utterances.], batch size: 283, lr: 1.75e-04
+2022-09-19 11:25:32,287 INFO [train.py:885] (1/2) Epoch 27, batch 2950, loss[loss=0.1612, simple_loss=0.2251, pruned_loss=0.04868, over 13658.00 frames. utt_duration=1073 frames, utt_pad_proportion=0.08237, over 51.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3438, pruned_loss=0.09912, over 2784366.92 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06902, over 44199.53 utterances.], batch size: 51, lr: 1.75e-04
+2022-09-19 11:26:01,458 INFO [train.py:885] (1/2) Epoch 27, batch 3000, loss[loss=0.2112, simple_loss=0.2875, pruned_loss=0.06745, over 14347.00 frames. utt_duration=479.5 frames, utt_pad_proportion=0.03706, over 120.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3461, pruned_loss=0.1007, over 2783280.94 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07017, over 45093.46 utterances.], batch size: 120, lr: 1.75e-04
+2022-09-19 11:26:01,458 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 11:26:05,628 INFO [train.py:914] (1/2) Epoch 27, validation: loss=0.1962, simple_loss=0.2755, pruned_loss=0.05838, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 11:26:34,984 INFO [train.py:885] (1/2) Epoch 27, batch 3050, loss[loss=0.278, simple_loss=0.3744, pruned_loss=0.09084, over 14029.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05668, over 366.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3448, pruned_loss=0.1, over 2779701.45 frames. utt_duration=251.3 frames, utt_pad_proportion=0.0713, over 44502.19 utterances.], batch size: 366, lr: 1.75e-04
+2022-09-19 11:27:04,359 INFO [train.py:885] (1/2) Epoch 27, batch 3100, loss[loss=0.2587, simple_loss=0.3421, pruned_loss=0.08767, over 14270.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04079, over 225.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.343, pruned_loss=0.09909, over 2782116.41 frames. utt_duration=255.4 frames, utt_pad_proportion=0.07088, over 43827.91 utterances.], batch size: 225, lr: 1.75e-04
+2022-09-19 11:27:41,351 INFO [train.py:885] (1/2) Epoch 27, batch 3150, loss[loss=0.3954, simple_loss=0.4877, pruned_loss=0.1516, over 13116.00 frames. utt_duration=81.87 frames, utt_pad_proportion=0.1101, over 653.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3452, pruned_loss=0.09993, over 2780934.65 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07238, over 45460.86 utterances.], batch size: 653, lr: 1.75e-04
+2022-09-19 11:28:11,204 INFO [train.py:885] (1/2) Epoch 27, batch 3200, loss[loss=0.2751, simple_loss=0.3578, pruned_loss=0.09623, over 14389.00 frames. utt_duration=275.4 frames, utt_pad_proportion=0.0337, over 210.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3431, pruned_loss=0.09899, over 2780256.83 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07182, over 44828.63 utterances.], batch size: 210, lr: 1.75e-04
+2022-09-19 11:28:40,001 INFO [train.py:885] (1/2) Epoch 27, batch 3250, loss[loss=0.2533, simple_loss=0.3431, pruned_loss=0.08172, over 14331.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03694, over 210.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3419, pruned_loss=0.09741, over 2778770.98 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07153, over 45439.18 utterances.], batch size: 210, lr: 1.75e-04
+2022-09-19 11:29:09,340 INFO [train.py:885] (1/2) Epoch 27, batch 3300, loss[loss=0.1663, simple_loss=0.2363, pruned_loss=0.04814, over 13880.00 frames. utt_duration=926.7 frames, utt_pad_proportion=0.06866, over 60.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3422, pruned_loss=0.09752, over 2778356.21 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07197, over 45522.50 utterances.], batch size: 60, lr: 1.75e-04
+2022-09-19 11:29:39,244 INFO [train.py:885] (1/2) Epoch 27, batch 3350, loss[loss=0.2113, simple_loss=0.2946, pruned_loss=0.06406, over 14095.00 frames. utt_duration=576.7 frames, utt_pad_proportion=0.05305, over 98.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3428, pruned_loss=0.09714, over 2776728.01 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07293, over 46022.10 utterances.], batch size: 98, lr: 1.75e-04
+2022-09-19 11:30:08,841 INFO [train.py:885] (1/2) Epoch 27, batch 3400, loss[loss=0.2311, simple_loss=0.3125, pruned_loss=0.07483, over 14219.00 frames. utt_duration=404.7 frames, utt_pad_proportion=0.04769, over 141.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3441, pruned_loss=0.09754, over 2781128.13 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07314, over 46382.63 utterances.], batch size: 141, lr: 1.75e-04
+2022-09-19 11:30:38,260 INFO [train.py:885] (1/2) Epoch 27, batch 3450, loss[loss=0.2456, simple_loss=0.3271, pruned_loss=0.08208, over 14333.00 frames. utt_duration=344.6 frames, utt_pad_proportion=0.0401, over 167.00 utterances.], tot_loss[loss=0.27, simple_loss=0.344, pruned_loss=0.09798, over 2780710.22 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07214, over 45803.54 utterances.], batch size: 167, lr: 1.75e-04
+2022-09-19 11:31:07,383 INFO [train.py:885] (1/2) Epoch 27, batch 3500, loss[loss=0.1848, simple_loss=0.2628, pruned_loss=0.05337, over 13623.00 frames. utt_duration=1091 frames, utt_pad_proportion=0.08227, over 50.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3459, pruned_loss=0.0994, over 2778359.34 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07329, over 45812.70 utterances.], batch size: 50, lr: 1.75e-04
+2022-09-19 11:31:37,319 INFO [train.py:885] (1/2) Epoch 27, batch 3550, loss[loss=0.2836, simple_loss=0.3581, pruned_loss=0.1046, over 14292.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03896, over 180.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3488, pruned_loss=0.1008, over 2777528.82 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07543, over 46941.31 utterances.], batch size: 180, lr: 1.75e-04
+2022-09-19 11:32:06,809 INFO [train.py:885] (1/2) Epoch 27, batch 3600, loss[loss=0.172, simple_loss=0.2397, pruned_loss=0.05212, over 13468.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.09238, over 50.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3449, pruned_loss=0.09942, over 2777070.22 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07469, over 45270.19 utterances.], batch size: 50, lr: 1.75e-04
+2022-09-19 11:32:36,365 INFO [train.py:885] (1/2) Epoch 27, batch 3650, loss[loss=0.2817, simple_loss=0.3929, pruned_loss=0.08529, over 13616.00 frames. utt_duration=98.65 frames, utt_pad_proportion=0.07807, over 560.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3503, pruned_loss=0.1013, over 2776471.27 frames. utt_duration=232.3 frames, utt_pad_proportion=0.07562, over 48109.95 utterances.], batch size: 560, lr: 1.75e-04
+2022-09-19 11:33:05,952 INFO [train.py:885] (1/2) Epoch 27, batch 3700, loss[loss=0.2258, simple_loss=0.3114, pruned_loss=0.07009, over 14315.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03892, over 120.00 utterances.], tot_loss[loss=0.2797, simple_loss=0.3525, pruned_loss=0.1034, over 2773473.55 frames. utt_duration=230.7 frames, utt_pad_proportion=0.07595, over 48389.04 utterances.], batch size: 120, lr: 1.75e-04
+2022-09-19 11:33:35,946 INFO [train.py:885] (1/2) Epoch 27, batch 3750, loss[loss=0.2454, simple_loss=0.327, pruned_loss=0.08187, over 14344.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.0369, over 195.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3483, pruned_loss=0.1008, over 2773923.94 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07473, over 46995.32 utterances.], batch size: 195, lr: 1.75e-04
+2022-09-19 11:34:05,477 INFO [train.py:885] (1/2) Epoch 27, batch 3800, loss[loss=0.2592, simple_loss=0.3286, pruned_loss=0.0949, over 14314.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03906, over 120.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3504, pruned_loss=0.1021, over 2778450.91 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07343, over 47086.91 utterances.], batch size: 120, lr: 1.75e-04
+2022-09-19 11:34:34,938 INFO [train.py:885] (1/2) Epoch 27, batch 3850, loss[loss=0.1673, simple_loss=0.2463, pruned_loss=0.04412, over 13964.00 frames. utt_duration=708.3 frames, utt_pad_proportion=0.06183, over 79.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3448, pruned_loss=0.09915, over 2776041.53 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07237, over 45239.24 utterances.], batch size: 79, lr: 1.75e-04
+2022-09-19 11:35:04,302 INFO [train.py:885] (1/2) Epoch 27, batch 3900, loss[loss=0.1787, simple_loss=0.2411, pruned_loss=0.05815, over 13261.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.09417, over 41.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3467, pruned_loss=0.1012, over 2779519.72 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07286, over 45155.62 utterances.], batch size: 41, lr: 1.75e-04
+2022-09-19 11:35:33,526 INFO [train.py:885] (1/2) Epoch 27, batch 3950, loss[loss=0.3021, simple_loss=0.3732, pruned_loss=0.1155, over 14204.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04417, over 306.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3501, pruned_loss=0.1028, over 2778727.24 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07383, over 47049.68 utterances.], batch size: 306, lr: 1.75e-04
+2022-09-19 11:36:02,639 INFO [train.py:885] (1/2) Epoch 27, batch 4000, loss[loss=0.2731, simple_loss=0.3548, pruned_loss=0.09568, over 14309.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03788, over 180.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3498, pruned_loss=0.1018, over 2780581.96 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07345, over 46609.32 utterances.], batch size: 180, lr: 1.75e-04
+2022-09-19 11:36:31,807 INFO [train.py:885] (1/2) Epoch 27, batch 4050, loss[loss=0.2928, simple_loss=0.3501, pruned_loss=0.1177, over 14252.00 frames. utt_duration=476.3 frames, utt_pad_proportion=0.04352, over 120.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.348, pruned_loss=0.1005, over 2781544.55 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07403, over 45931.33 utterances.], batch size: 120, lr: 1.75e-04
+2022-09-19 11:37:01,946 INFO [train.py:885] (1/2) Epoch 27, batch 4100, loss[loss=0.4671, simple_loss=0.4862, pruned_loss=0.224, over 14203.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04432, over 306.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3486, pruned_loss=0.1013, over 2781547.26 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07185, over 45423.62 utterances.], batch size: 306, lr: 1.75e-04
+2022-09-19 11:37:30,845 INFO [train.py:885] (1/2) Epoch 27, batch 4150, loss[loss=0.3989, simple_loss=0.4887, pruned_loss=0.1546, over 13184.00 frames. utt_duration=82.29 frames, utt_pad_proportion=0.1056, over 653.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3448, pruned_loss=0.09985, over 2784952.85 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06932, over 43743.05 utterances.], batch size: 653, lr: 1.74e-04
+2022-09-19 11:37:59,886 INFO [train.py:885] (1/2) Epoch 27, batch 4200, loss[loss=0.2264, simple_loss=0.3077, pruned_loss=0.07249, over 14256.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04511, over 141.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.346, pruned_loss=0.09982, over 2787728.52 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06977, over 44834.76 utterances.], batch size: 141, lr: 1.74e-04
+2022-09-19 11:38:29,349 INFO [train.py:885] (1/2) Epoch 27, batch 4250, loss[loss=0.2842, simple_loss=0.3642, pruned_loss=0.1022, over 14274.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04051, over 180.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3491, pruned_loss=0.1012, over 2783475.42 frames. utt_duration=241.3 frames, utt_pad_proportion=0.0714, over 46418.58 utterances.], batch size: 180, lr: 1.74e-04
+2022-09-19 11:38:58,998 INFO [train.py:885] (1/2) Epoch 27, batch 4300, loss[loss=0.3102, simple_loss=0.3824, pruned_loss=0.119, over 14261.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.0411, over 225.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3463, pruned_loss=0.09958, over 2786936.49 frames. utt_duration=246.7 frames, utt_pad_proportion=0.06964, over 45465.29 utterances.], batch size: 225, lr: 1.74e-04
+2022-09-19 11:39:28,404 INFO [train.py:885] (1/2) Epoch 27, batch 4350, loss[loss=0.2473, simple_loss=0.3305, pruned_loss=0.0821, over 14295.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03857, over 180.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3481, pruned_loss=0.1003, over 2786443.21 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07028, over 46690.51 utterances.], batch size: 180, lr: 1.74e-04
+2022-09-19 11:39:58,220 INFO [train.py:885] (1/2) Epoch 27, batch 4400, loss[loss=0.2009, simple_loss=0.2661, pruned_loss=0.06781, over 13727.00 frames. utt_duration=916.8 frames, utt_pad_proportion=0.07586, over 60.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.348, pruned_loss=0.1001, over 2780550.64 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07086, over 46664.11 utterances.], batch size: 60, lr: 1.74e-04
+2022-09-19 11:40:27,021 INFO [train.py:885] (1/2) Epoch 27, batch 4450, loss[loss=0.2105, simple_loss=0.2771, pruned_loss=0.0719, over 14059.00 frames. utt_duration=804.7 frames, utt_pad_proportion=0.0599, over 70.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3444, pruned_loss=0.09821, over 2778852.81 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07154, over 45565.35 utterances.], batch size: 70, lr: 1.74e-04
+2022-09-19 11:40:57,223 INFO [train.py:885] (1/2) Epoch 27, batch 4500, loss[loss=0.1484, simple_loss=0.2199, pruned_loss=0.03848, over 13719.00 frames. utt_duration=916.1 frames, utt_pad_proportion=0.07931, over 60.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3434, pruned_loss=0.09713, over 2784533.40 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06953, over 44947.60 utterances.], batch size: 60, lr: 1.74e-04
+2022-09-19 11:41:26,991 INFO [train.py:885] (1/2) Epoch 27, batch 4550, loss[loss=0.2802, simple_loss=0.358, pruned_loss=0.1011, over 14341.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03835, over 244.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3447, pruned_loss=0.09757, over 2783863.96 frames. utt_duration=246.7 frames, utt_pad_proportion=0.06974, over 45404.81 utterances.], batch size: 244, lr: 1.74e-04
+2022-09-19 11:41:56,085 INFO [train.py:885] (1/2) Epoch 27, batch 4600, loss[loss=0.1918, simple_loss=0.2578, pruned_loss=0.06294, over 13495.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.0917, over 50.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3427, pruned_loss=0.09712, over 2782504.63 frames. utt_duration=251.3 frames, utt_pad_proportion=0.06842, over 44542.54 utterances.], batch size: 50, lr: 1.74e-04
+2022-09-19 11:42:25,648 INFO [train.py:885] (1/2) Epoch 27, batch 4650, loss[loss=0.3028, simple_loss=0.3497, pruned_loss=0.1279, over 14099.00 frames. utt_duration=576.8 frames, utt_pad_proportion=0.0545, over 98.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3422, pruned_loss=0.09676, over 2781487.81 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06815, over 44897.88 utterances.], batch size: 98, lr: 1.74e-04
+2022-09-19 11:42:54,230 INFO [train.py:885] (1/2) Epoch 27, batch 4700, loss[loss=0.3191, simple_loss=0.3849, pruned_loss=0.1267, over 14302.00 frames. utt_duration=255.8 frames, utt_pad_proportion=0.03848, over 225.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3423, pruned_loss=0.09694, over 2783131.96 frames. utt_duration=253.1 frames, utt_pad_proportion=0.06764, over 44234.03 utterances.], batch size: 225, lr: 1.74e-04
+2022-09-19 11:43:23,845 INFO [train.py:885] (1/2) Epoch 27, batch 4750, loss[loss=0.2612, simple_loss=0.3257, pruned_loss=0.09838, over 14344.00 frames. utt_duration=442.8 frames, utt_pad_proportion=0.03524, over 130.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3415, pruned_loss=0.09697, over 2779329.06 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06872, over 43839.93 utterances.], batch size: 130, lr: 1.74e-04
+2022-09-19 11:43:53,486 INFO [train.py:885] (1/2) Epoch 27, batch 4800, loss[loss=0.3253, simple_loss=0.4214, pruned_loss=0.1146, over 13676.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07785, over 477.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.345, pruned_loss=0.09958, over 2781204.66 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06817, over 44295.62 utterances.], batch size: 477, lr: 1.74e-04
+2022-09-19 11:44:22,522 INFO [train.py:885] (1/2) Epoch 27, batch 4850, loss[loss=0.1934, simple_loss=0.2613, pruned_loss=0.06277, over 13244.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.09493, over 41.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3463, pruned_loss=0.09989, over 2784879.32 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06837, over 44923.85 utterances.], batch size: 41, lr: 1.74e-04
+2022-09-19 11:44:52,550 INFO [train.py:885] (1/2) Epoch 27, batch 4900, loss[loss=0.5112, simple_loss=0.6028, pruned_loss=0.2098, over 12503.00 frames. utt_duration=63.38 frames, utt_pad_proportion=0.1435, over 810.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3474, pruned_loss=0.1002, over 2779667.34 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07096, over 46122.94 utterances.], batch size: 810, lr: 1.74e-04
+2022-09-19 11:45:22,155 INFO [train.py:885] (1/2) Epoch 27, batch 4950, loss[loss=0.1461, simple_loss=0.2031, pruned_loss=0.04455, over 13095.00 frames. utt_duration=1589 frames, utt_pad_proportion=0.1184, over 33.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3473, pruned_loss=0.1006, over 2773774.50 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07315, over 45965.81 utterances.], batch size: 33, lr: 1.74e-04
+2022-09-19 11:45:50,998 INFO [train.py:885] (1/2) Epoch 27, batch 5000, loss[loss=0.1291, simple_loss=0.1769, pruned_loss=0.04062, over 12533.00 frames. utt_duration=2090 frames, utt_pad_proportion=0.1635, over 24.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3475, pruned_loss=0.1002, over 2777109.74 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07124, over 46319.28 utterances.], batch size: 24, lr: 1.74e-04
+2022-09-19 11:46:21,039 INFO [train.py:885] (1/2) Epoch 27, batch 5050, loss[loss=0.217, simple_loss=0.2723, pruned_loss=0.08083, over 13825.00 frames. utt_duration=922.9 frames, utt_pad_proportion=0.07336, over 60.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3455, pruned_loss=0.09888, over 2778590.07 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07094, over 45311.34 utterances.], batch size: 60, lr: 1.74e-04
+2022-09-19 11:46:51,083 INFO [train.py:885] (1/2) Epoch 27, batch 5100, loss[loss=0.2709, simple_loss=0.3472, pruned_loss=0.09728, over 14274.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04058, over 180.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3471, pruned_loss=0.09867, over 2776876.15 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07347, over 47494.72 utterances.], batch size: 180, lr: 1.74e-04
+2022-09-19 11:47:20,687 INFO [train.py:885] (1/2) Epoch 27, batch 5150, loss[loss=0.2154, simple_loss=0.2809, pruned_loss=0.07495, over 12354.00 frames. utt_duration=1978 frames, utt_pad_proportion=0.162, over 25.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3437, pruned_loss=0.0975, over 2776192.55 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07208, over 46053.87 utterances.], batch size: 25, lr: 1.74e-04
+2022-09-19 11:47:50,720 INFO [train.py:885] (1/2) Epoch 27, batch 5200, loss[loss=0.1936, simple_loss=0.2421, pruned_loss=0.07257, over 13889.00 frames. utt_duration=927.4 frames, utt_pad_proportion=0.06791, over 60.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3449, pruned_loss=0.09861, over 2777306.64 frames. utt_duration=239.4 frames, utt_pad_proportion=0.0718, over 46701.12 utterances.], batch size: 60, lr: 1.74e-04
+2022-09-19 11:48:20,010 INFO [train.py:885] (1/2) Epoch 27, batch 5250, loss[loss=0.1433, simple_loss=0.2126, pruned_loss=0.03706, over 13696.00 frames. utt_duration=1097 frames, utt_pad_proportion=0.07024, over 50.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3442, pruned_loss=0.099, over 2781125.84 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07016, over 45731.88 utterances.], batch size: 50, lr: 1.74e-04
+2022-09-19 11:48:50,509 INFO [train.py:885] (1/2) Epoch 27, batch 5300, loss[loss=0.3065, simple_loss=0.3751, pruned_loss=0.119, over 14345.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03715, over 283.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3452, pruned_loss=0.09868, over 2782643.86 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07042, over 46451.84 utterances.], batch size: 283, lr: 1.74e-04
+2022-09-19 11:49:19,974 INFO [train.py:885] (1/2) Epoch 27, batch 5350, loss[loss=0.2433, simple_loss=0.2953, pruned_loss=0.09564, over 14111.00 frames. utt_duration=808 frames, utt_pad_proportion=0.05714, over 70.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3436, pruned_loss=0.09812, over 2783248.66 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07025, over 45822.95 utterances.], batch size: 70, lr: 1.74e-04
+2022-09-19 11:49:49,923 INFO [train.py:885] (1/2) Epoch 27, batch 5400, loss[loss=0.2743, simple_loss=0.3582, pruned_loss=0.09522, over 14233.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04282, over 225.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3433, pruned_loss=0.09839, over 2788070.36 frames. utt_duration=249.3 frames, utt_pad_proportion=0.06941, over 44999.45 utterances.], batch size: 225, lr: 1.74e-04
+2022-09-19 11:50:19,694 INFO [train.py:885] (1/2) Epoch 27, batch 5450, loss[loss=0.1748, simple_loss=0.2393, pruned_loss=0.05509, over 14061.00 frames. utt_duration=805 frames, utt_pad_proportion=0.05956, over 70.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3422, pruned_loss=0.09802, over 2790755.50 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06721, over 44258.70 utterances.], batch size: 70, lr: 1.74e-04
+2022-09-19 11:50:49,665 INFO [train.py:885] (1/2) Epoch 27, batch 5500, loss[loss=0.4653, simple_loss=0.5644, pruned_loss=0.1831, over 12541.00 frames. utt_duration=63.54 frames, utt_pad_proportion=0.1413, over 810.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3413, pruned_loss=0.09715, over 2779046.60 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06984, over 44790.06 utterances.], batch size: 810, lr: 1.74e-04
+2022-09-19 11:51:19,254 INFO [train.py:885] (1/2) Epoch 27, batch 5550, loss[loss=0.3957, simple_loss=0.4364, pruned_loss=0.1775, over 14247.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04246, over 335.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3405, pruned_loss=0.09773, over 2779044.17 frames. utt_duration=257.2 frames, utt_pad_proportion=0.0682, over 43469.22 utterances.], batch size: 335, lr: 1.74e-04
+2022-09-19 11:51:48,796 INFO [train.py:885] (1/2) Epoch 27, batch 5600, loss[loss=0.3255, simple_loss=0.3905, pruned_loss=0.1303, over 14226.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04408, over 335.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3443, pruned_loss=0.1, over 2779331.14 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07018, over 44751.10 utterances.], batch size: 335, lr: 1.74e-04
+2022-09-19 11:52:18,843 INFO [train.py:885] (1/2) Epoch 27, batch 5650, loss[loss=0.2623, simple_loss=0.3351, pruned_loss=0.09477, over 14340.00 frames. utt_duration=374 frames, utt_pad_proportion=0.03861, over 154.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.345, pruned_loss=0.1001, over 2782403.30 frames. utt_duration=252 frames, utt_pad_proportion=0.06956, over 44429.63 utterances.], batch size: 154, lr: 1.74e-04
+2022-09-19 11:52:48,473 INFO [train.py:885] (1/2) Epoch 27, batch 5700, loss[loss=0.273, simple_loss=0.3738, pruned_loss=0.08604, over 13775.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07151, over 411.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3449, pruned_loss=0.09994, over 2781312.27 frames. utt_duration=252 frames, utt_pad_proportion=0.07022, over 44401.56 utterances.], batch size: 411, lr: 1.74e-04
+2022-09-19 11:53:18,788 INFO [train.py:885] (1/2) Epoch 27, batch 5750, loss[loss=0.2773, simple_loss=0.3561, pruned_loss=0.0993, over 14294.00 frames. utt_duration=294.7 frames, utt_pad_proportion=0.03996, over 195.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.343, pruned_loss=0.09895, over 2782927.69 frames. utt_duration=255.5 frames, utt_pad_proportion=0.07003, over 43815.04 utterances.], batch size: 195, lr: 1.74e-04
+2022-09-19 11:53:48,973 INFO [train.py:885] (1/2) Epoch 27, batch 5800, loss[loss=0.3451, simple_loss=0.4026, pruned_loss=0.1438, over 14270.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04047, over 225.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3438, pruned_loss=0.09953, over 2781827.15 frames. utt_duration=253 frames, utt_pad_proportion=0.07077, over 44245.83 utterances.], batch size: 225, lr: 1.74e-04
+2022-09-19 11:54:19,193 INFO [train.py:885] (1/2) Epoch 27, batch 5850, loss[loss=0.2268, simple_loss=0.2834, pruned_loss=0.08512, over 13898.00 frames. utt_duration=705.1 frames, utt_pad_proportion=0.06731, over 79.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3451, pruned_loss=0.1001, over 2778951.08 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07186, over 44664.23 utterances.], batch size: 79, lr: 1.74e-04
+2022-09-19 11:54:47,910 INFO [train.py:885] (1/2) Epoch 27, batch 5900, loss[loss=0.2198, simple_loss=0.2983, pruned_loss=0.07069, over 14291.00 frames. utt_duration=477.8 frames, utt_pad_proportion=0.04056, over 120.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3474, pruned_loss=0.1012, over 2777446.20 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07276, over 45144.95 utterances.], batch size: 120, lr: 1.74e-04
+2022-09-19 11:55:18,590 INFO [train.py:885] (1/2) Epoch 27, batch 5950, loss[loss=0.1927, simple_loss=0.2501, pruned_loss=0.06762, over 12301.00 frames. utt_duration=2052 frames, utt_pad_proportion=0.172, over 24.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3468, pruned_loss=0.1011, over 2780154.33 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07164, over 44608.08 utterances.], batch size: 24, lr: 1.74e-04
+2022-09-19 11:55:48,058 INFO [train.py:885] (1/2) Epoch 27, batch 6000, loss[loss=0.1881, simple_loss=0.26, pruned_loss=0.05816, over 12801.00 frames. utt_duration=2050 frames, utt_pad_proportion=0.1139, over 25.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3446, pruned_loss=0.09996, over 2776826.54 frames. utt_duration=254.3 frames, utt_pad_proportion=0.07289, over 43928.15 utterances.], batch size: 25, lr: 1.74e-04
+2022-09-19 11:55:48,059 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 11:55:52,416 INFO [train.py:914] (1/2) Epoch 27, validation: loss=0.1888, simple_loss=0.2713, pruned_loss=0.05318, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 11:56:22,995 INFO [train.py:885] (1/2) Epoch 27, batch 6050, loss[loss=0.2547, simple_loss=0.3444, pruned_loss=0.08249, over 14342.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03673, over 210.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3438, pruned_loss=0.09878, over 2777936.31 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07321, over 44440.52 utterances.], batch size: 210, lr: 1.74e-04
+2022-09-19 11:56:52,363 INFO [train.py:885] (1/2) Epoch 27, batch 6100, loss[loss=0.2073, simple_loss=0.2906, pruned_loss=0.06202, over 14268.00 frames. utt_duration=477.1 frames, utt_pad_proportion=0.04392, over 120.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3446, pruned_loss=0.09854, over 2782451.22 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07186, over 45271.03 utterances.], batch size: 120, lr: 1.74e-04
+2022-09-19 11:57:22,437 INFO [train.py:885] (1/2) Epoch 27, batch 6150, loss[loss=0.3112, simple_loss=0.3804, pruned_loss=0.121, over 14354.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03357, over 244.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.348, pruned_loss=0.1007, over 2782383.25 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07235, over 46059.68 utterances.], batch size: 244, lr: 1.74e-04
+2022-09-19 11:57:52,225 INFO [train.py:885] (1/2) Epoch 27, batch 6200, loss[loss=0.3721, simple_loss=0.4689, pruned_loss=0.1376, over 13173.00 frames. utt_duration=82.21 frames, utt_pad_proportion=0.1064, over 653.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3464, pruned_loss=0.09954, over 2782041.20 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07358, over 45819.22 utterances.], batch size: 653, lr: 1.74e-04
+2022-09-19 11:58:21,664 INFO [train.py:885] (1/2) Epoch 27, batch 6250, loss[loss=0.3161, simple_loss=0.3876, pruned_loss=0.1223, over 14387.00 frames. utt_duration=275.4 frames, utt_pad_proportion=0.03362, over 210.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3442, pruned_loss=0.09859, over 2779783.10 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07278, over 44973.46 utterances.], batch size: 210, lr: 1.74e-04
+2022-09-19 11:58:51,638 INFO [train.py:885] (1/2) Epoch 27, batch 6300, loss[loss=0.3118, simple_loss=0.3797, pruned_loss=0.1219, over 14348.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03687, over 283.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3484, pruned_loss=0.1011, over 2783887.89 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07169, over 45647.21 utterances.], batch size: 283, lr: 1.74e-04
+2022-09-19 11:59:21,834 INFO [train.py:885] (1/2) Epoch 27, batch 6350, loss[loss=0.1939, simple_loss=0.2813, pruned_loss=0.05328, over 14234.00 frames. utt_duration=641.5 frames, utt_pad_proportion=0.04399, over 89.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3482, pruned_loss=0.1007, over 2785970.61 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07229, over 46112.01 utterances.], batch size: 89, lr: 1.74e-04
+2022-09-19 11:59:51,843 INFO [train.py:885] (1/2) Epoch 27, batch 6400, loss[loss=0.2894, simple_loss=0.361, pruned_loss=0.1089, over 14256.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04155, over 225.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3467, pruned_loss=0.1011, over 2783319.13 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07253, over 44711.99 utterances.], batch size: 225, lr: 1.74e-04
+2022-09-19 12:00:21,417 INFO [train.py:885] (1/2) Epoch 27, batch 6450, loss[loss=0.2058, simple_loss=0.289, pruned_loss=0.06126, over 13995.00 frames. utt_duration=709.9 frames, utt_pad_proportion=0.06093, over 79.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3445, pruned_loss=0.09982, over 2779973.58 frames. utt_duration=253.5 frames, utt_pad_proportion=0.07287, over 44129.35 utterances.], batch size: 79, lr: 1.74e-04
+2022-09-19 12:00:52,098 INFO [train.py:885] (1/2) Epoch 27, batch 6500, loss[loss=0.2449, simple_loss=0.3236, pruned_loss=0.08312, over 14308.00 frames. utt_duration=373.2 frames, utt_pad_proportion=0.03806, over 154.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.345, pruned_loss=0.09981, over 2780846.70 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07247, over 44465.45 utterances.], batch size: 154, lr: 1.74e-04
+2022-09-19 12:01:21,758 INFO [train.py:885] (1/2) Epoch 27, batch 6550, loss[loss=0.2806, simple_loss=0.3599, pruned_loss=0.1006, over 14369.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03284, over 244.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3439, pruned_loss=0.09918, over 2778984.14 frames. utt_duration=248 frames, utt_pad_proportion=0.0725, over 45088.14 utterances.], batch size: 244, lr: 1.74e-04
+2022-09-19 12:01:51,609 INFO [train.py:885] (1/2) Epoch 27, batch 6600, loss[loss=0.2451, simple_loss=0.3005, pruned_loss=0.09488, over 13254.00 frames. utt_duration=1608 frames, utt_pad_proportion=0.1075, over 33.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3477, pruned_loss=0.1009, over 2780115.11 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07311, over 46802.76 utterances.], batch size: 33, lr: 1.74e-04
+2022-09-19 12:02:21,010 INFO [train.py:885] (1/2) Epoch 27, batch 6650, loss[loss=0.157, simple_loss=0.2121, pruned_loss=0.05101, over 13146.00 frames. utt_duration=1595 frames, utt_pad_proportion=0.1009, over 33.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3424, pruned_loss=0.09774, over 2782627.77 frames. utt_duration=252.2 frames, utt_pad_proportion=0.0703, over 44395.26 utterances.], batch size: 33, lr: 1.74e-04
+2022-09-19 12:02:51,339 INFO [train.py:885] (1/2) Epoch 27, batch 6700, loss[loss=0.1962, simple_loss=0.2769, pruned_loss=0.05775, over 13903.00 frames. utt_duration=807.5 frames, utt_pad_proportion=0.05993, over 69.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3443, pruned_loss=0.09824, over 2782971.52 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07332, over 45822.67 utterances.], batch size: 69, lr: 1.74e-04
+2022-09-19 12:03:21,212 INFO [train.py:885] (1/2) Epoch 27, batch 6750, loss[loss=0.1717, simple_loss=0.2367, pruned_loss=0.05328, over 13335.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08833, over 41.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3447, pruned_loss=0.09823, over 2782684.85 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07337, over 46175.06 utterances.], batch size: 41, lr: 1.74e-04
+2022-09-19 12:03:50,627 INFO [train.py:885] (1/2) Epoch 27, batch 6800, loss[loss=0.3379, simple_loss=0.4248, pruned_loss=0.1254, over 13605.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08211, over 477.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3474, pruned_loss=0.09991, over 2780383.00 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07315, over 46888.85 utterances.], batch size: 477, lr: 1.74e-04
+2022-09-19 12:04:20,448 INFO [train.py:885] (1/2) Epoch 27, batch 6850, loss[loss=0.2637, simple_loss=0.3303, pruned_loss=0.0985, over 14235.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04634, over 141.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3452, pruned_loss=0.09882, over 2781655.74 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07163, over 46131.37 utterances.], batch size: 141, lr: 1.74e-04
+2022-09-19 12:04:49,768 INFO [train.py:885] (1/2) Epoch 27, batch 6900, loss[loss=0.3509, simple_loss=0.4112, pruned_loss=0.1453, over 14237.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04227, over 306.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3449, pruned_loss=0.0991, over 2785063.03 frames. utt_duration=244.5 frames, utt_pad_proportion=0.06935, over 45831.60 utterances.], batch size: 306, lr: 1.74e-04
+2022-09-19 12:05:19,845 INFO [train.py:885] (1/2) Epoch 27, batch 6950, loss[loss=0.2814, simple_loss=0.3857, pruned_loss=0.08859, over 13761.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07244, over 411.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3439, pruned_loss=0.09825, over 2781478.71 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07001, over 45718.20 utterances.], batch size: 411, lr: 1.74e-04
+2022-09-19 12:05:49,373 INFO [train.py:885] (1/2) Epoch 27, batch 7000, loss[loss=0.2213, simple_loss=0.3039, pruned_loss=0.06932, over 14307.00 frames. utt_duration=373.3 frames, utt_pad_proportion=0.03791, over 154.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3436, pruned_loss=0.09792, over 2778210.50 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07066, over 45110.73 utterances.], batch size: 154, lr: 1.74e-04
+2022-09-19 12:06:19,329 INFO [train.py:885] (1/2) Epoch 27, batch 7050, loss[loss=0.2572, simple_loss=0.3591, pruned_loss=0.07771, over 13989.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.0565, over 365.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3443, pruned_loss=0.09781, over 2781674.94 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07019, over 46021.30 utterances.], batch size: 365, lr: 1.74e-04
+2022-09-19 12:06:48,351 INFO [train.py:885] (1/2) Epoch 27, batch 7100, loss[loss=0.1739, simple_loss=0.2471, pruned_loss=0.05034, over 13401.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08403, over 41.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3439, pruned_loss=0.09785, over 2781926.78 frames. utt_duration=246 frames, utt_pad_proportion=0.07013, over 45514.78 utterances.], batch size: 41, lr: 1.74e-04
+2022-09-19 12:07:18,687 INFO [train.py:885] (1/2) Epoch 27, batch 7150, loss[loss=0.5056, simple_loss=0.5936, pruned_loss=0.2088, over 12408.00 frames. utt_duration=62.88 frames, utt_pad_proportion=0.1503, over 810.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3436, pruned_loss=0.09749, over 2777960.67 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07246, over 46312.33 utterances.], batch size: 810, lr: 1.74e-04
+2022-09-19 12:07:48,700 INFO [train.py:885] (1/2) Epoch 27, batch 7200, loss[loss=0.4776, simple_loss=0.5757, pruned_loss=0.1898, over 12526.00 frames. utt_duration=63.31 frames, utt_pad_proportion=0.1445, over 811.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3456, pruned_loss=0.09812, over 2776430.41 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07425, over 47277.23 utterances.], batch size: 811, lr: 1.74e-04
+2022-09-19 12:08:18,312 INFO [train.py:885] (1/2) Epoch 27, batch 7250, loss[loss=0.3243, simple_loss=0.3886, pruned_loss=0.13, over 14340.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03742, over 283.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3457, pruned_loss=0.09812, over 2780083.70 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07488, over 47030.26 utterances.], batch size: 283, lr: 1.74e-04
+2022-09-19 12:08:48,321 INFO [train.py:885] (1/2) Epoch 27, batch 7300, loss[loss=0.3135, simple_loss=0.4116, pruned_loss=0.1077, over 13680.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.0783, over 477.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.347, pruned_loss=0.09827, over 2780426.65 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07521, over 47650.16 utterances.], batch size: 477, lr: 1.74e-04
+2022-09-19 12:09:17,967 INFO [train.py:885] (1/2) Epoch 27, batch 7350, loss[loss=0.3072, simple_loss=0.3959, pruned_loss=0.1093, over 13726.00 frames. utt_duration=135.1 frames, utt_pad_proportion=0.07456, over 411.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3451, pruned_loss=0.09758, over 2781112.37 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07299, over 46683.74 utterances.], batch size: 411, lr: 1.74e-04
+2022-09-19 12:09:47,791 INFO [train.py:885] (1/2) Epoch 27, batch 7400, loss[loss=0.2869, simple_loss=0.391, pruned_loss=0.09139, over 13636.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08118, over 477.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3441, pruned_loss=0.09699, over 2781834.36 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07261, over 46603.81 utterances.], batch size: 477, lr: 1.74e-04
+2022-09-19 12:10:17,742 INFO [train.py:885] (1/2) Epoch 27, batch 7450, loss[loss=0.2548, simple_loss=0.3365, pruned_loss=0.08655, over 14288.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.03938, over 154.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.341, pruned_loss=0.09592, over 2783142.88 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07076, over 45101.11 utterances.], batch size: 154, lr: 1.74e-04
+2022-09-19 12:10:46,930 INFO [train.py:885] (1/2) Epoch 27, batch 7500, loss[loss=0.1995, simple_loss=0.2739, pruned_loss=0.06259, over 13966.00 frames. utt_duration=708.6 frames, utt_pad_proportion=0.06274, over 79.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3418, pruned_loss=0.09622, over 2778844.09 frames. utt_duration=246 frames, utt_pad_proportion=0.07109, over 45449.69 utterances.], batch size: 79, lr: 1.74e-04
+2022-09-19 12:11:16,372 INFO [train.py:885] (1/2) Epoch 27, batch 7550, loss[loss=0.3902, simple_loss=0.4544, pruned_loss=0.163, over 13754.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07241, over 411.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3434, pruned_loss=0.09726, over 2775713.96 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07165, over 45815.69 utterances.], batch size: 411, lr: 1.74e-04
+2022-09-19 12:11:46,119 INFO [train.py:885] (1/2) Epoch 27, batch 7600, loss[loss=0.2592, simple_loss=0.3432, pruned_loss=0.08761, over 14286.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03961, over 180.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3446, pruned_loss=0.09769, over 2777634.89 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07189, over 46317.65 utterances.], batch size: 180, lr: 1.74e-04
+2022-09-19 12:12:15,583 INFO [train.py:885] (1/2) Epoch 27, batch 7650, loss[loss=0.3536, simple_loss=0.4067, pruned_loss=0.1502, over 14297.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04047, over 262.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3424, pruned_loss=0.09744, over 2779365.17 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07173, over 44690.98 utterances.], batch size: 262, lr: 1.74e-04
+2022-09-19 12:12:45,178 INFO [train.py:885] (1/2) Epoch 27, batch 7700, loss[loss=0.1475, simple_loss=0.2201, pruned_loss=0.03744, over 13921.00 frames. utt_duration=808.6 frames, utt_pad_proportion=0.05865, over 69.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3458, pruned_loss=0.09944, over 2778299.02 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07265, over 46323.55 utterances.], batch size: 69, lr: 1.74e-04
+2022-09-19 12:13:22,562 INFO [train.py:885] (1/2) Epoch 27, batch 7750, loss[loss=0.183, simple_loss=0.2374, pruned_loss=0.06432, over 13098.00 frames. utt_duration=1589 frames, utt_pad_proportion=0.1146, over 33.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3434, pruned_loss=0.09897, over 2776606.46 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07259, over 44764.12 utterances.], batch size: 33, lr: 1.74e-04
+2022-09-19 12:13:52,450 INFO [train.py:885] (1/2) Epoch 27, batch 7800, loss[loss=0.2818, simple_loss=0.3809, pruned_loss=0.09136, over 13780.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07108, over 411.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3441, pruned_loss=0.09843, over 2772434.78 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07482, over 45863.35 utterances.], batch size: 411, lr: 1.74e-04
+2022-09-19 12:14:21,697 INFO [train.py:885] (1/2) Epoch 27, batch 7850, loss[loss=0.1618, simple_loss=0.2263, pruned_loss=0.04867, over 13675.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.07484, over 42.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3442, pruned_loss=0.09881, over 2776144.95 frames. utt_duration=247.6 frames, utt_pad_proportion=0.0727, over 45112.28 utterances.], batch size: 42, lr: 1.74e-04
+2022-09-19 12:14:52,377 INFO [train.py:885] (1/2) Epoch 27, batch 7900, loss[loss=0.1447, simple_loss=0.2113, pruned_loss=0.03905, over 13182.00 frames. utt_duration=1600 frames, utt_pad_proportion=0.1029, over 33.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3446, pruned_loss=0.09901, over 2774926.15 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07306, over 45849.56 utterances.], batch size: 33, lr: 1.74e-04
+2022-09-19 12:15:21,328 INFO [train.py:885] (1/2) Epoch 27, batch 7950, loss[loss=0.1733, simple_loss=0.2483, pruned_loss=0.04912, over 13646.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.08762, over 42.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3424, pruned_loss=0.09821, over 2777451.76 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07025, over 45028.70 utterances.], batch size: 42, lr: 1.74e-04
+2022-09-19 12:15:51,462 INFO [train.py:885] (1/2) Epoch 27, batch 8000, loss[loss=0.1707, simple_loss=0.2379, pruned_loss=0.05178, over 13576.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08692, over 50.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3427, pruned_loss=0.09838, over 2778097.26 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07083, over 44943.62 utterances.], batch size: 50, lr: 1.73e-04
+2022-09-19 12:16:21,447 INFO [train.py:885] (1/2) Epoch 27, batch 8050, loss[loss=0.2471, simple_loss=0.3343, pruned_loss=0.07999, over 14277.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03989, over 180.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3475, pruned_loss=0.1011, over 2777164.71 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07252, over 46979.85 utterances.], batch size: 180, lr: 1.73e-04
+2022-09-19 12:16:51,148 INFO [train.py:885] (1/2) Epoch 27, batch 8100, loss[loss=0.2278, simple_loss=0.2781, pruned_loss=0.08878, over 14052.00 frames. utt_duration=804.2 frames, utt_pad_proportion=0.05826, over 70.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3478, pruned_loss=0.102, over 2780768.41 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07166, over 46595.53 utterances.], batch size: 70, lr: 1.73e-04
+2022-09-19 12:17:21,233 INFO [train.py:885] (1/2) Epoch 27, batch 8150, loss[loss=0.1673, simple_loss=0.2377, pruned_loss=0.04847, over 12986.00 frames. utt_duration=1576 frames, utt_pad_proportion=0.1271, over 33.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3456, pruned_loss=0.1002, over 2778292.26 frames. utt_duration=243.8 frames, utt_pad_proportion=0.06992, over 45861.98 utterances.], batch size: 33, lr: 1.73e-04
+2022-09-19 12:17:50,598 INFO [train.py:885] (1/2) Epoch 27, batch 8200, loss[loss=0.3385, simple_loss=0.4218, pruned_loss=0.1276, over 13701.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07558, over 411.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3382, pruned_loss=0.09649, over 2780447.35 frames. utt_duration=262.3 frames, utt_pad_proportion=0.06759, over 42641.30 utterances.], batch size: 411, lr: 1.73e-04
+2022-09-19 12:18:19,981 INFO [train.py:885] (1/2) Epoch 27, batch 8250, loss[loss=0.3607, simple_loss=0.4111, pruned_loss=0.1552, over 14288.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04093, over 262.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3416, pruned_loss=0.09763, over 2779735.23 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06909, over 44268.56 utterances.], batch size: 262, lr: 1.73e-04
+2022-09-19 12:18:50,307 INFO [train.py:885] (1/2) Epoch 27, batch 8300, loss[loss=0.2577, simple_loss=0.3363, pruned_loss=0.0895, over 14379.00 frames. utt_duration=345.8 frames, utt_pad_proportion=0.03688, over 167.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3436, pruned_loss=0.0979, over 2777571.82 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07159, over 45713.48 utterances.], batch size: 167, lr: 1.73e-04
+2022-09-19 12:19:20,180 INFO [train.py:885] (1/2) Epoch 27, batch 8350, loss[loss=0.3686, simple_loss=0.4721, pruned_loss=0.1325, over 13143.00 frames. utt_duration=82.07 frames, utt_pad_proportion=0.1079, over 653.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3424, pruned_loss=0.09759, over 2779367.97 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06992, over 45131.45 utterances.], batch size: 653, lr: 1.73e-04
+2022-09-19 12:19:50,175 INFO [train.py:885] (1/2) Epoch 27, batch 8400, loss[loss=0.3241, simple_loss=0.4202, pruned_loss=0.114, over 13602.00 frames. utt_duration=98.43 frames, utt_pad_proportion=0.08011, over 560.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3415, pruned_loss=0.09642, over 2775039.95 frames. utt_duration=246 frames, utt_pad_proportion=0.07198, over 45399.65 utterances.], batch size: 560, lr: 1.73e-04
+2022-09-19 12:20:19,793 INFO [train.py:885] (1/2) Epoch 27, batch 8450, loss[loss=0.1742, simple_loss=0.2532, pruned_loss=0.04761, over 13992.00 frames. utt_duration=709.7 frames, utt_pad_proportion=0.05631, over 79.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3426, pruned_loss=0.09681, over 2778399.60 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07132, over 45707.78 utterances.], batch size: 79, lr: 1.73e-04
+2022-09-19 12:20:49,493 INFO [train.py:885] (1/2) Epoch 27, batch 8500, loss[loss=0.3362, simple_loss=0.3984, pruned_loss=0.137, over 14282.00 frames. utt_duration=171.8 frames, utt_pad_proportion=0.04039, over 335.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3423, pruned_loss=0.09662, over 2778558.74 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07167, over 45547.09 utterances.], batch size: 335, lr: 1.73e-04
+2022-09-19 12:21:19,438 INFO [train.py:885] (1/2) Epoch 27, batch 8550, loss[loss=0.2216, simple_loss=0.3045, pruned_loss=0.06941, over 14340.00 frames. utt_duration=320.1 frames, utt_pad_proportion=0.03578, over 180.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3433, pruned_loss=0.0968, over 2783024.06 frames. utt_duration=243.4 frames, utt_pad_proportion=0.0709, over 46019.87 utterances.], batch size: 180, lr: 1.73e-04
+2022-09-19 12:21:48,612 INFO [train.py:885] (1/2) Epoch 27, batch 8600, loss[loss=0.1579, simple_loss=0.2197, pruned_loss=0.04808, over 12818.00 frames. utt_duration=2053 frames, utt_pad_proportion=0.1444, over 25.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3416, pruned_loss=0.09608, over 2781361.92 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07098, over 45841.68 utterances.], batch size: 25, lr: 1.73e-04
+2022-09-19 12:22:18,897 INFO [train.py:885] (1/2) Epoch 27, batch 8650, loss[loss=0.4032, simple_loss=0.493, pruned_loss=0.1567, over 13116.00 frames. utt_duration=81.87 frames, utt_pad_proportion=0.1101, over 653.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3454, pruned_loss=0.09703, over 2781436.30 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07092, over 47664.14 utterances.], batch size: 653, lr: 1.73e-04
+2022-09-19 12:22:48,142 INFO [train.py:885] (1/2) Epoch 27, batch 8700, loss[loss=0.1897, simple_loss=0.2413, pruned_loss=0.06903, over 13531.00 frames. utt_duration=1290 frames, utt_pad_proportion=0.08998, over 42.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.343, pruned_loss=0.09675, over 2781949.19 frames. utt_duration=245 frames, utt_pad_proportion=0.07001, over 45693.03 utterances.], batch size: 42, lr: 1.73e-04
+2022-09-19 12:23:18,034 INFO [train.py:885] (1/2) Epoch 27, batch 8750, loss[loss=0.2818, simple_loss=0.3398, pruned_loss=0.1119, over 14280.00 frames. utt_duration=477.5 frames, utt_pad_proportion=0.04121, over 120.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3436, pruned_loss=0.09746, over 2778792.25 frames. utt_duration=244 frames, utt_pad_proportion=0.07149, over 45835.02 utterances.], batch size: 120, lr: 1.73e-04
+2022-09-19 12:23:47,264 INFO [train.py:885] (1/2) Epoch 27, batch 8800, loss[loss=0.1946, simple_loss=0.2717, pruned_loss=0.05875, over 14207.00 frames. utt_duration=639.9 frames, utt_pad_proportion=0.04642, over 89.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3411, pruned_loss=0.09565, over 2779736.60 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07073, over 45453.50 utterances.], batch size: 89, lr: 1.73e-04
+2022-09-19 12:24:18,138 INFO [train.py:885] (1/2) Epoch 27, batch 8850, loss[loss=0.155, simple_loss=0.229, pruned_loss=0.04051, over 13408.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.08545, over 41.00 utterances.], tot_loss[loss=0.2632, simple_loss=0.3377, pruned_loss=0.09437, over 2779661.62 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06979, over 43665.97 utterances.], batch size: 41, lr: 1.73e-04
+2022-09-19 12:24:47,510 INFO [train.py:885] (1/2) Epoch 27, batch 8900, loss[loss=0.1946, simple_loss=0.2572, pruned_loss=0.06598, over 13636.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.07895, over 50.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.341, pruned_loss=0.09618, over 2785153.69 frames. utt_duration=250.8 frames, utt_pad_proportion=0.06931, over 44685.34 utterances.], batch size: 50, lr: 1.73e-04
+2022-09-19 12:25:16,987 INFO [train.py:885] (1/2) Epoch 27, batch 8950, loss[loss=0.218, simple_loss=0.2961, pruned_loss=0.06997, over 14309.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04249, over 110.00 utterances.], tot_loss[loss=0.2626, simple_loss=0.3368, pruned_loss=0.09424, over 2786951.05 frames. utt_duration=261.7 frames, utt_pad_proportion=0.06661, over 42838.07 utterances.], batch size: 110, lr: 1.73e-04
+2022-09-19 12:25:46,937 INFO [train.py:885] (1/2) Epoch 27, batch 9000, loss[loss=0.2996, simple_loss=0.369, pruned_loss=0.1151, over 14326.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03696, over 180.00 utterances.], tot_loss[loss=0.2649, simple_loss=0.3393, pruned_loss=0.09525, over 2783369.23 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06754, over 43882.30 utterances.], batch size: 180, lr: 1.73e-04
+2022-09-19 12:25:46,938 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 12:25:51,114 INFO [train.py:914] (1/2) Epoch 27, validation: loss=0.1927, simple_loss=0.2734, pruned_loss=0.05601, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 12:26:21,293 INFO [train.py:885] (1/2) Epoch 27, batch 9050, loss[loss=0.192, simple_loss=0.2638, pruned_loss=0.06011, over 13400.00 frames. utt_duration=1074 frames, utt_pad_proportion=0.09012, over 50.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3412, pruned_loss=0.09621, over 2779291.27 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07014, over 44339.88 utterances.], batch size: 50, lr: 1.73e-04
+2022-09-19 12:26:50,840 INFO [train.py:885] (1/2) Epoch 27, batch 9100, loss[loss=0.2282, simple_loss=0.2977, pruned_loss=0.07939, over 14213.00 frames. utt_duration=523 frames, utt_pad_proportion=0.04217, over 109.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.342, pruned_loss=0.09756, over 2780289.88 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07086, over 44779.05 utterances.], batch size: 109, lr: 1.73e-04
+2022-09-19 12:27:20,666 INFO [train.py:885] (1/2) Epoch 27, batch 9150, loss[loss=0.2933, simple_loss=0.3708, pruned_loss=0.1079, over 14318.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03899, over 283.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3391, pruned_loss=0.09528, over 2780583.07 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06978, over 43664.84 utterances.], batch size: 283, lr: 1.73e-04
+2022-09-19 12:27:51,187 INFO [train.py:885] (1/2) Epoch 27, batch 9200, loss[loss=0.3124, simple_loss=0.4192, pruned_loss=0.1028, over 13564.00 frames. utt_duration=98.29 frames, utt_pad_proportion=0.08144, over 560.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3406, pruned_loss=0.0967, over 2782505.42 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06836, over 43650.92 utterances.], batch size: 560, lr: 1.73e-04
+2022-09-19 12:28:21,397 INFO [train.py:885] (1/2) Epoch 27, batch 9250, loss[loss=0.1718, simple_loss=0.2474, pruned_loss=0.04811, over 13663.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.07968, over 50.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3442, pruned_loss=0.09855, over 2780609.15 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07026, over 45151.83 utterances.], batch size: 50, lr: 1.73e-04
+2022-09-19 12:28:50,886 INFO [train.py:885] (1/2) Epoch 27, batch 9300, loss[loss=0.2465, simple_loss=0.3359, pruned_loss=0.0785, over 14318.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03832, over 195.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3421, pruned_loss=0.09795, over 2782943.24 frames. utt_duration=254.8 frames, utt_pad_proportion=0.0689, over 43937.42 utterances.], batch size: 195, lr: 1.73e-04
+2022-09-19 12:29:21,252 INFO [train.py:885] (1/2) Epoch 27, batch 9350, loss[loss=0.1811, simple_loss=0.2561, pruned_loss=0.05309, over 12270.00 frames. utt_duration=1965 frames, utt_pad_proportion=0.1535, over 25.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3472, pruned_loss=0.09939, over 2780192.01 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07223, over 46844.91 utterances.], batch size: 25, lr: 1.73e-04
+2022-09-19 12:29:51,195 INFO [train.py:885] (1/2) Epoch 27, batch 9400, loss[loss=0.2387, simple_loss=0.3092, pruned_loss=0.08413, over 14330.00 frames. utt_duration=442.4 frames, utt_pad_proportion=0.03612, over 130.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3477, pruned_loss=0.09998, over 2786385.83 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07131, over 46288.82 utterances.], batch size: 130, lr: 1.73e-04
+2022-09-19 12:30:21,098 INFO [train.py:885] (1/2) Epoch 27, batch 9450, loss[loss=0.2515, simple_loss=0.3283, pruned_loss=0.08729, over 14288.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03906, over 154.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3445, pruned_loss=0.09883, over 2790071.27 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06882, over 44471.69 utterances.], batch size: 154, lr: 1.73e-04
+2022-09-19 12:30:51,785 INFO [train.py:885] (1/2) Epoch 27, batch 9500, loss[loss=0.3352, simple_loss=0.3777, pruned_loss=0.1464, over 14336.00 frames. utt_duration=479.3 frames, utt_pad_proportion=0.03948, over 120.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3466, pruned_loss=0.1002, over 2782948.70 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07188, over 45072.24 utterances.], batch size: 120, lr: 1.73e-04
+2022-09-19 12:31:21,342 INFO [train.py:885] (1/2) Epoch 27, batch 9550, loss[loss=0.333, simple_loss=0.3943, pruned_loss=0.1359, over 14202.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04531, over 335.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.344, pruned_loss=0.09871, over 2778807.80 frames. utt_duration=247.5 frames, utt_pad_proportion=0.0729, over 45181.88 utterances.], batch size: 335, lr: 1.73e-04
+2022-09-19 12:31:50,970 INFO [train.py:885] (1/2) Epoch 27, batch 9600, loss[loss=0.2362, simple_loss=0.3177, pruned_loss=0.07732, over 14240.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04651, over 141.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3439, pruned_loss=0.09848, over 2780027.22 frames. utt_duration=246.6 frames, utt_pad_proportion=0.0721, over 45370.48 utterances.], batch size: 141, lr: 1.73e-04
+2022-09-19 12:32:20,861 INFO [train.py:885] (1/2) Epoch 27, batch 9650, loss[loss=0.3053, simple_loss=0.409, pruned_loss=0.1009, over 13640.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.0801, over 477.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3473, pruned_loss=0.1, over 2781844.99 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07045, over 45893.00 utterances.], batch size: 477, lr: 1.73e-04
+2022-09-19 12:32:50,620 INFO [train.py:885] (1/2) Epoch 27, batch 9700, loss[loss=0.1953, simple_loss=0.2812, pruned_loss=0.05469, over 14154.00 frames. utt_duration=637.5 frames, utt_pad_proportion=0.04993, over 89.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3457, pruned_loss=0.09993, over 2784084.68 frames. utt_duration=249.4 frames, utt_pad_proportion=0.06756, over 44916.82 utterances.], batch size: 89, lr: 1.73e-04
+2022-09-19 12:33:20,252 INFO [train.py:885] (1/2) Epoch 27, batch 9750, loss[loss=0.2927, simple_loss=0.361, pruned_loss=0.1122, over 14308.00 frames. utt_duration=294.9 frames, utt_pad_proportion=0.03947, over 195.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3465, pruned_loss=0.1001, over 2782065.62 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07002, over 45931.44 utterances.], batch size: 195, lr: 1.73e-04
+2022-09-19 12:33:50,650 INFO [train.py:885] (1/2) Epoch 27, batch 9800, loss[loss=0.4285, simple_loss=0.4874, pruned_loss=0.1848, over 13773.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07144, over 411.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3463, pruned_loss=0.09999, over 2783873.81 frames. utt_duration=245 frames, utt_pad_proportion=0.06929, over 45718.54 utterances.], batch size: 411, lr: 1.73e-04
+2022-09-19 12:34:19,993 INFO [train.py:885] (1/2) Epoch 27, batch 9850, loss[loss=0.2146, simple_loss=0.2891, pruned_loss=0.07007, over 14185.00 frames. utt_duration=522.1 frames, utt_pad_proportion=0.04374, over 109.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3447, pruned_loss=0.09952, over 2789058.42 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06619, over 44571.74 utterances.], batch size: 109, lr: 1.73e-04
+2022-09-19 12:34:50,332 INFO [train.py:885] (1/2) Epoch 27, batch 9900, loss[loss=0.3326, simple_loss=0.3987, pruned_loss=0.1332, over 14330.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03779, over 283.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3432, pruned_loss=0.09854, over 2785172.20 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06741, over 44626.32 utterances.], batch size: 283, lr: 1.73e-04
+2022-09-19 12:35:20,289 INFO [train.py:885] (1/2) Epoch 27, batch 9950, loss[loss=0.2856, simple_loss=0.3452, pruned_loss=0.113, over 14289.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.04076, over 120.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3448, pruned_loss=0.09938, over 2783811.24 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06941, over 45465.88 utterances.], batch size: 120, lr: 1.73e-04
+2022-09-19 12:35:49,696 INFO [train.py:885] (1/2) Epoch 27, batch 10000, loss[loss=0.3522, simple_loss=0.4031, pruned_loss=0.1507, over 14385.00 frames. utt_duration=275.3 frames, utt_pad_proportion=0.0342, over 210.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3455, pruned_loss=0.09977, over 2784058.31 frames. utt_duration=249.4 frames, utt_pad_proportion=0.0697, over 44914.24 utterances.], batch size: 210, lr: 1.73e-04
+2022-09-19 12:36:19,018 INFO [train.py:885] (1/2) Epoch 27, batch 10050, loss[loss=0.2648, simple_loss=0.339, pruned_loss=0.09531, over 14326.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.0388, over 262.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3456, pruned_loss=0.1009, over 2783948.17 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06763, over 44115.02 utterances.], batch size: 262, lr: 1.73e-04
+2022-09-19 12:36:49,344 INFO [train.py:885] (1/2) Epoch 27, batch 10100, loss[loss=0.412, simple_loss=0.4942, pruned_loss=0.1649, over 13133.00 frames. utt_duration=82.02 frames, utt_pad_proportion=0.1085, over 653.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3519, pruned_loss=0.1028, over 2777536.41 frames. utt_duration=235 frames, utt_pad_proportion=0.07291, over 47567.77 utterances.], batch size: 653, lr: 1.73e-04
+2022-09-19 12:37:20,036 INFO [train.py:885] (1/2) Epoch 27, batch 10150, loss[loss=0.3589, simple_loss=0.4163, pruned_loss=0.1508, over 14236.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04339, over 335.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3533, pruned_loss=0.1035, over 2777465.05 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07186, over 48038.02 utterances.], batch size: 335, lr: 1.73e-04
+2022-09-19 12:37:49,210 INFO [train.py:885] (1/2) Epoch 27, batch 10200, loss[loss=0.335, simple_loss=0.3927, pruned_loss=0.1386, over 14318.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.0388, over 283.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3499, pruned_loss=0.1022, over 2775928.72 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07054, over 46836.30 utterances.], batch size: 283, lr: 1.73e-04
+2022-09-19 12:38:19,138 INFO [train.py:885] (1/2) Epoch 27, batch 10250, loss[loss=0.2359, simple_loss=0.3099, pruned_loss=0.08102, over 14272.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.0401, over 130.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3464, pruned_loss=0.1004, over 2775684.52 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07093, over 45336.45 utterances.], batch size: 130, lr: 1.73e-04
+2022-09-19 12:38:49,249 INFO [train.py:885] (1/2) Epoch 27, batch 10300, loss[loss=0.2981, simple_loss=0.3746, pruned_loss=0.1108, over 14315.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03972, over 262.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3478, pruned_loss=0.1004, over 2776611.66 frames. utt_duration=244 frames, utt_pad_proportion=0.07201, over 45802.05 utterances.], batch size: 262, lr: 1.73e-04
+2022-09-19 12:39:19,147 INFO [train.py:885] (1/2) Epoch 27, batch 10350, loss[loss=0.3673, simple_loss=0.4094, pruned_loss=0.1626, over 14229.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04366, over 335.00 utterances.], tot_loss[loss=0.273, simple_loss=0.347, pruned_loss=0.09953, over 2777812.46 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07194, over 46651.46 utterances.], batch size: 335, lr: 1.73e-04
+2022-09-19 12:39:48,448 INFO [train.py:885] (1/2) Epoch 27, batch 10400, loss[loss=0.2545, simple_loss=0.3412, pruned_loss=0.08389, over 14338.00 frames. utt_duration=344.8 frames, utt_pad_proportion=0.0395, over 167.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3512, pruned_loss=0.1019, over 2777460.08 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07393, over 47922.68 utterances.], batch size: 167, lr: 1.73e-04
+2022-09-19 12:40:18,315 INFO [train.py:885] (1/2) Epoch 27, batch 10450, loss[loss=0.4259, simple_loss=0.5048, pruned_loss=0.1735, over 13182.00 frames. utt_duration=82.3 frames, utt_pad_proportion=0.1054, over 653.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3491, pruned_loss=0.1017, over 2780409.57 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07198, over 46495.80 utterances.], batch size: 653, lr: 1.73e-04
+2022-09-19 12:40:47,440 INFO [train.py:885] (1/2) Epoch 27, batch 10500, loss[loss=0.3562, simple_loss=0.4074, pruned_loss=0.1525, over 14370.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03225, over 244.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3476, pruned_loss=0.1014, over 2784215.21 frames. utt_duration=248.4 frames, utt_pad_proportion=0.06815, over 45107.38 utterances.], batch size: 244, lr: 1.73e-04
+2022-09-19 12:41:17,230 INFO [train.py:885] (1/2) Epoch 27, batch 10550, loss[loss=0.4982, simple_loss=0.5952, pruned_loss=0.2006, over 12484.00 frames. utt_duration=63.28 frames, utt_pad_proportion=0.1449, over 810.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3475, pruned_loss=0.1008, over 2780826.55 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07128, over 45989.19 utterances.], batch size: 810, lr: 1.73e-04
+2022-09-19 12:41:46,360 INFO [train.py:885] (1/2) Epoch 27, batch 10600, loss[loss=0.3323, simple_loss=0.3993, pruned_loss=0.1326, over 14220.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0438, over 306.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.347, pruned_loss=0.1014, over 2781428.22 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07175, over 45182.18 utterances.], batch size: 306, lr: 1.73e-04
+2022-09-19 12:42:15,914 INFO [train.py:885] (1/2) Epoch 27, batch 10650, loss[loss=0.2669, simple_loss=0.3452, pruned_loss=0.0943, over 14326.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04033, over 167.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3445, pruned_loss=0.1003, over 2779315.78 frames. utt_duration=253.5 frames, utt_pad_proportion=0.07147, over 44110.38 utterances.], batch size: 167, lr: 1.73e-04
+2022-09-19 12:42:46,224 INFO [train.py:885] (1/2) Epoch 27, batch 10700, loss[loss=0.3014, simple_loss=0.4054, pruned_loss=0.09874, over 13569.00 frames. utt_duration=98.29 frames, utt_pad_proportion=0.08138, over 560.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3457, pruned_loss=0.09991, over 2780450.06 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07182, over 44871.34 utterances.], batch size: 560, lr: 1.73e-04
+2022-09-19 12:43:15,727 INFO [train.py:885] (1/2) Epoch 27, batch 10750, loss[loss=0.1578, simple_loss=0.2211, pruned_loss=0.04727, over 12348.00 frames. utt_duration=2060 frames, utt_pad_proportion=0.145, over 24.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3458, pruned_loss=0.1, over 2787439.68 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06825, over 44065.03 utterances.], batch size: 24, lr: 1.73e-04
+2022-09-19 12:43:45,704 INFO [train.py:885] (1/2) Epoch 27, batch 10800, loss[loss=0.2314, simple_loss=0.3034, pruned_loss=0.07966, over 13964.00 frames. utt_duration=708.6 frames, utt_pad_proportion=0.06272, over 79.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3451, pruned_loss=0.09964, over 2784588.13 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07007, over 43913.63 utterances.], batch size: 79, lr: 1.73e-04
+2022-09-19 12:44:15,784 INFO [train.py:885] (1/2) Epoch 27, batch 10850, loss[loss=0.2207, simple_loss=0.2983, pruned_loss=0.0716, over 13703.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.07993, over 42.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3432, pruned_loss=0.09824, over 2784592.66 frames. utt_duration=258.3 frames, utt_pad_proportion=0.07106, over 43366.95 utterances.], batch size: 42, lr: 1.73e-04
+2022-09-19 12:44:45,072 INFO [train.py:885] (1/2) Epoch 27, batch 10900, loss[loss=0.277, simple_loss=0.3536, pruned_loss=0.1003, over 14304.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.03872, over 226.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3423, pruned_loss=0.0983, over 2782685.44 frames. utt_duration=261.4 frames, utt_pad_proportion=0.0692, over 42820.95 utterances.], batch size: 226, lr: 1.73e-04
+2022-09-19 12:45:15,546 INFO [train.py:885] (1/2) Epoch 27, batch 10950, loss[loss=0.3738, simple_loss=0.4357, pruned_loss=0.1559, over 14001.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05869, over 366.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3425, pruned_loss=0.09826, over 2780514.71 frames. utt_duration=257.5 frames, utt_pad_proportion=0.07051, over 43438.73 utterances.], batch size: 366, lr: 1.73e-04
+2022-09-19 12:45:44,923 INFO [train.py:885] (1/2) Epoch 27, batch 11000, loss[loss=0.2514, simple_loss=0.3348, pruned_loss=0.08401, over 14331.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03914, over 154.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3423, pruned_loss=0.09831, over 2782572.41 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06991, over 43040.28 utterances.], batch size: 154, lr: 1.73e-04
+2022-09-19 12:46:14,053 INFO [train.py:885] (1/2) Epoch 27, batch 11050, loss[loss=0.3039, simple_loss=0.405, pruned_loss=0.1014, over 13649.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08041, over 477.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3426, pruned_loss=0.09883, over 2786094.42 frames. utt_duration=263.4 frames, utt_pad_proportion=0.0674, over 42543.50 utterances.], batch size: 477, lr: 1.73e-04
+2022-09-19 12:46:43,847 INFO [train.py:885] (1/2) Epoch 27, batch 11100, loss[loss=0.2916, simple_loss=0.3612, pruned_loss=0.111, over 14362.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03616, over 210.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3425, pruned_loss=0.09829, over 2787130.37 frames. utt_duration=260 frames, utt_pad_proportion=0.06744, over 43116.97 utterances.], batch size: 210, lr: 1.73e-04
+2022-09-19 12:47:13,601 INFO [train.py:885] (1/2) Epoch 27, batch 11150, loss[loss=0.1609, simple_loss=0.235, pruned_loss=0.04339, over 13767.00 frames. utt_duration=1103 frames, utt_pad_proportion=0.07015, over 50.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3414, pruned_loss=0.09731, over 2778071.59 frames. utt_duration=256 frames, utt_pad_proportion=0.07165, over 43664.01 utterances.], batch size: 50, lr: 1.73e-04
+2022-09-19 12:47:43,559 INFO [train.py:885] (1/2) Epoch 27, batch 11200, loss[loss=0.2479, simple_loss=0.3169, pruned_loss=0.08938, over 14322.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03844, over 120.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3431, pruned_loss=0.09738, over 2783062.81 frames. utt_duration=253.7 frames, utt_pad_proportion=0.07048, over 44141.67 utterances.], batch size: 120, lr: 1.73e-04
+2022-09-19 12:48:12,935 INFO [train.py:885] (1/2) Epoch 27, batch 11250, loss[loss=0.3172, simple_loss=0.4087, pruned_loss=0.1129, over 13668.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07933, over 477.00 utterances.], tot_loss[loss=0.2636, simple_loss=0.3379, pruned_loss=0.09467, over 2782553.00 frames. utt_duration=264.3 frames, utt_pad_proportion=0.06948, over 42343.07 utterances.], batch size: 477, lr: 1.73e-04
+2022-09-19 12:48:43,397 INFO [train.py:885] (1/2) Epoch 27, batch 11300, loss[loss=0.1957, simple_loss=0.2735, pruned_loss=0.05899, over 14205.00 frames. utt_duration=639.9 frames, utt_pad_proportion=0.04638, over 89.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.34, pruned_loss=0.09637, over 2783115.83 frames. utt_duration=259.4 frames, utt_pad_proportion=0.0698, over 43160.38 utterances.], batch size: 89, lr: 1.73e-04
+2022-09-19 12:49:12,781 INFO [train.py:885] (1/2) Epoch 27, batch 11350, loss[loss=0.2618, simple_loss=0.3363, pruned_loss=0.09369, over 14294.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.03641, over 154.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3403, pruned_loss=0.09629, over 2786628.61 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06801, over 43468.13 utterances.], batch size: 154, lr: 1.73e-04
+2022-09-19 12:49:42,547 INFO [train.py:885] (1/2) Epoch 27, batch 11400, loss[loss=0.2181, simple_loss=0.3021, pruned_loss=0.06705, over 14327.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03991, over 120.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.341, pruned_loss=0.09632, over 2788067.46 frames. utt_duration=258 frames, utt_pad_proportion=0.06704, over 43481.40 utterances.], batch size: 120, lr: 1.73e-04
+2022-09-19 12:50:12,651 INFO [train.py:885] (1/2) Epoch 27, batch 11450, loss[loss=0.1754, simple_loss=0.2421, pruned_loss=0.05435, over 13871.00 frames. utt_duration=926.1 frames, utt_pad_proportion=0.07021, over 60.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3433, pruned_loss=0.0977, over 2781120.12 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06991, over 45173.00 utterances.], batch size: 60, lr: 1.73e-04
+2022-09-19 12:50:41,981 INFO [train.py:885] (1/2) Epoch 27, batch 11500, loss[loss=0.2686, simple_loss=0.3524, pruned_loss=0.09242, over 14297.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.0399, over 283.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3435, pruned_loss=0.09817, over 2780596.96 frames. utt_duration=245 frames, utt_pad_proportion=0.07186, over 45665.29 utterances.], batch size: 283, lr: 1.73e-04
+2022-09-19 12:51:11,333 INFO [train.py:885] (1/2) Epoch 27, batch 11550, loss[loss=0.2389, simple_loss=0.3315, pruned_loss=0.07321, over 14370.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03511, over 195.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.341, pruned_loss=0.09681, over 2774670.88 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07368, over 44898.00 utterances.], batch size: 195, lr: 1.73e-04
+2022-09-19 12:51:41,467 INFO [train.py:885] (1/2) Epoch 27, batch 11600, loss[loss=0.2094, simple_loss=0.2823, pruned_loss=0.06824, over 14246.00 frames. utt_duration=642 frames, utt_pad_proportion=0.04324, over 89.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3414, pruned_loss=0.09659, over 2777290.69 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07174, over 44898.97 utterances.], batch size: 89, lr: 1.73e-04
+2022-09-19 12:52:11,271 INFO [train.py:885] (1/2) Epoch 27, batch 11650, loss[loss=0.1755, simple_loss=0.2404, pruned_loss=0.05529, over 13181.00 frames. utt_duration=1599 frames, utt_pad_proportion=0.103, over 33.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3445, pruned_loss=0.09767, over 2777593.12 frames. utt_duration=240 frames, utt_pad_proportion=0.0725, over 46587.68 utterances.], batch size: 33, lr: 1.73e-04
+2022-09-19 12:52:40,642 INFO [train.py:885] (1/2) Epoch 27, batch 11700, loss[loss=0.1562, simple_loss=0.2256, pruned_loss=0.04343, over 13600.00 frames. utt_duration=1089 frames, utt_pad_proportion=0.08138, over 50.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3439, pruned_loss=0.0974, over 2775901.82 frames. utt_duration=241 frames, utt_pad_proportion=0.07271, over 46357.32 utterances.], batch size: 50, lr: 1.73e-04
+2022-09-19 12:53:10,676 INFO [train.py:885] (1/2) Epoch 27, batch 11750, loss[loss=0.2437, simple_loss=0.317, pruned_loss=0.08523, over 14322.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.04021, over 120.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3465, pruned_loss=0.09839, over 2773607.19 frames. utt_duration=232 frames, utt_pad_proportion=0.07499, over 48118.56 utterances.], batch size: 120, lr: 1.73e-04
+2022-09-19 12:53:39,588 INFO [train.py:885] (1/2) Epoch 27, batch 11800, loss[loss=0.244, simple_loss=0.297, pruned_loss=0.09552, over 13830.00 frames. utt_duration=803.2 frames, utt_pad_proportion=0.06494, over 69.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3467, pruned_loss=0.09879, over 2774608.05 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07591, over 47745.78 utterances.], batch size: 69, lr: 1.73e-04
+2022-09-19 12:54:09,402 INFO [train.py:885] (1/2) Epoch 27, batch 11850, loss[loss=0.296, simple_loss=0.3696, pruned_loss=0.1112, over 14364.00 frames. utt_duration=237 frames, utt_pad_proportion=0.0366, over 244.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3437, pruned_loss=0.09722, over 2780032.43 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07264, over 46327.76 utterances.], batch size: 244, lr: 1.73e-04
+2022-09-19 12:54:39,540 INFO [train.py:885] (1/2) Epoch 27, batch 11900, loss[loss=0.1738, simple_loss=0.2456, pruned_loss=0.05098, over 13701.00 frames. utt_duration=1098 frames, utt_pad_proportion=0.07837, over 50.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.344, pruned_loss=0.09784, over 2782904.05 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07043, over 46124.13 utterances.], batch size: 50, lr: 1.72e-04
+2022-09-19 12:55:08,873 INFO [train.py:885] (1/2) Epoch 27, batch 11950, loss[loss=0.3153, simple_loss=0.3943, pruned_loss=0.1182, over 13980.00 frames. utt_duration=154.5 frames, utt_pad_proportion=0.05768, over 365.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3458, pruned_loss=0.09841, over 2783994.16 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07102, over 46783.37 utterances.], batch size: 365, lr: 1.72e-04
+2022-09-19 12:55:38,578 INFO [train.py:885] (1/2) Epoch 27, batch 12000, loss[loss=0.1999, simple_loss=0.2665, pruned_loss=0.0666, over 13818.00 frames. utt_duration=802.9 frames, utt_pad_proportion=0.06531, over 69.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3475, pruned_loss=0.09917, over 2780206.34 frames. utt_duration=235.5 frames, utt_pad_proportion=0.0721, over 47529.27 utterances.], batch size: 69, lr: 1.72e-04
+2022-09-19 12:55:38,586 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 12:55:45,202 INFO [train.py:914] (1/2) Epoch 27, validation: loss=0.1967, simple_loss=0.2772, pruned_loss=0.05808, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 12:56:13,597 INFO [train.py:885] (1/2) Epoch 27, batch 12050, loss[loss=0.3386, simple_loss=0.4259, pruned_loss=0.1257, over 13631.00 frames. utt_duration=98.71 frames, utt_pad_proportion=0.07749, over 560.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3435, pruned_loss=0.09776, over 2780333.48 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07117, over 45389.45 utterances.], batch size: 560, lr: 1.72e-04
+2022-09-19 12:56:44,064 INFO [train.py:885] (1/2) Epoch 27, batch 12100, loss[loss=0.3297, simple_loss=0.392, pruned_loss=0.1337, over 14330.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03819, over 283.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3472, pruned_loss=0.0995, over 2783942.81 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07083, over 46999.46 utterances.], batch size: 283, lr: 1.72e-04
+2022-09-19 12:57:12,591 INFO [train.py:885] (1/2) Epoch 27, batch 12150, loss[loss=0.3172, simple_loss=0.3806, pruned_loss=0.1269, over 14397.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.0309, over 244.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3418, pruned_loss=0.09694, over 2781891.94 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06949, over 44797.45 utterances.], batch size: 244, lr: 1.72e-04
+2022-09-19 12:57:43,089 INFO [train.py:885] (1/2) Epoch 27, batch 12200, loss[loss=0.2423, simple_loss=0.3231, pruned_loss=0.08076, over 14344.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03911, over 167.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3442, pruned_loss=0.09853, over 2781814.40 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07035, over 45783.76 utterances.], batch size: 167, lr: 1.72e-04
+2022-09-19 12:58:12,728 INFO [train.py:885] (1/2) Epoch 27, batch 12250, loss[loss=0.3611, simple_loss=0.422, pruned_loss=0.1501, over 14247.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.04152, over 306.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3473, pruned_loss=0.1003, over 2782096.72 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07101, over 46697.52 utterances.], batch size: 306, lr: 1.72e-04
+2022-09-19 12:58:42,175 INFO [train.py:885] (1/2) Epoch 27, batch 12300, loss[loss=0.36, simple_loss=0.4648, pruned_loss=0.1275, over 13138.00 frames. utt_duration=81.99 frames, utt_pad_proportion=0.1088, over 653.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3475, pruned_loss=0.1001, over 2777342.68 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07377, over 47342.40 utterances.], batch size: 653, lr: 1.72e-04
+2022-09-19 12:59:12,232 INFO [train.py:885] (1/2) Epoch 27, batch 12350, loss[loss=0.1653, simple_loss=0.2266, pruned_loss=0.05203, over 12881.00 frames. utt_duration=1983 frames, utt_pad_proportion=0.1297, over 26.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3492, pruned_loss=0.1014, over 2777311.53 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07267, over 47487.22 utterances.], batch size: 26, lr: 1.72e-04
+2022-09-19 12:59:41,436 INFO [train.py:885] (1/2) Epoch 27, batch 12400, loss[loss=0.2015, simple_loss=0.2806, pruned_loss=0.06116, over 13977.00 frames. utt_duration=709 frames, utt_pad_proportion=0.06093, over 79.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.348, pruned_loss=0.1012, over 2779871.91 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07036, over 45968.20 utterances.], batch size: 79, lr: 1.72e-04
+2022-09-19 13:00:11,364 INFO [train.py:885] (1/2) Epoch 27, batch 12450, loss[loss=0.3289, simple_loss=0.3884, pruned_loss=0.1347, over 14342.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03439, over 244.00 utterances.], tot_loss[loss=0.2782, simple_loss=0.3513, pruned_loss=0.1026, over 2777341.47 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07171, over 48263.68 utterances.], batch size: 244, lr: 1.72e-04
+2022-09-19 13:00:40,704 INFO [train.py:885] (1/2) Epoch 27, batch 12500, loss[loss=0.3018, simple_loss=0.3721, pruned_loss=0.1157, over 14363.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.03791, over 167.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3503, pruned_loss=0.1015, over 2781347.10 frames. utt_duration=236.2 frames, utt_pad_proportion=0.06992, over 47402.48 utterances.], batch size: 167, lr: 1.72e-04
+2022-09-19 13:01:10,714 INFO [train.py:885] (1/2) Epoch 27, batch 12550, loss[loss=0.2455, simple_loss=0.3305, pruned_loss=0.08029, over 14277.00 frames. utt_duration=372.4 frames, utt_pad_proportion=0.0401, over 154.00 utterances.], tot_loss[loss=0.2801, simple_loss=0.3539, pruned_loss=0.1031, over 2777832.37 frames. utt_duration=226.5 frames, utt_pad_proportion=0.07286, over 49382.16 utterances.], batch size: 154, lr: 1.72e-04
+2022-09-19 13:01:38,370 INFO [train.py:885] (1/2) Epoch 27, batch 12600, loss[loss=0.3956, simple_loss=0.4707, pruned_loss=0.1602, over 13616.00 frames. utt_duration=98.58 frames, utt_pad_proportion=0.07872, over 560.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3498, pruned_loss=0.1014, over 2774290.57 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07329, over 47263.81 utterances.], batch size: 560, lr: 1.72e-04
+2022-09-19 13:01:57,029 INFO [train.py:885] (1/2) Epoch 28, batch 0, loss[loss=0.267, simple_loss=0.339, pruned_loss=0.09747, over 14325.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.0404, over 167.00 utterances.], tot_loss[loss=0.267, simple_loss=0.339, pruned_loss=0.09747, over 14325.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.0404, over 167.00 utterances.], batch size: 167, lr: 1.69e-04
+2022-09-19 13:02:27,137 INFO [train.py:885] (1/2) Epoch 28, batch 50, loss[loss=0.2018, simple_loss=0.2663, pruned_loss=0.06871, over 12074.00 frames. utt_duration=2014 frames, utt_pad_proportion=0.1902, over 24.00 utterances.], tot_loss[loss=0.2791, simple_loss=0.3529, pruned_loss=0.1026, over 628069.20 frames. utt_duration=230.2 frames, utt_pad_proportion=0.06881, over 10982.95 utterances.], batch size: 24, lr: 1.69e-04
+2022-09-19 13:02:56,107 INFO [train.py:885] (1/2) Epoch 28, batch 100, loss[loss=0.2731, simple_loss=0.3539, pruned_loss=0.09619, over 14301.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03944, over 283.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3526, pruned_loss=0.1014, over 1104839.49 frames. utt_duration=227.8 frames, utt_pad_proportion=0.07145, over 19526.62 utterances.], batch size: 283, lr: 1.69e-04
+2022-09-19 13:03:26,209 INFO [train.py:885] (1/2) Epoch 28, batch 150, loss[loss=0.1752, simple_loss=0.2541, pruned_loss=0.04814, over 13504.00 frames. utt_duration=1319 frames, utt_pad_proportion=0.07696, over 41.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3478, pruned_loss=0.09996, over 1472360.60 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07363, over 24970.34 utterances.], batch size: 41, lr: 1.69e-04
+2022-09-19 13:03:55,587 INFO [train.py:885] (1/2) Epoch 28, batch 200, loss[loss=0.2199, simple_loss=0.3003, pruned_loss=0.06976, over 14043.00 frames. utt_duration=574.6 frames, utt_pad_proportion=0.05798, over 98.00 utterances.], tot_loss[loss=0.2646, simple_loss=0.3395, pruned_loss=0.09484, over 1762329.27 frames. utt_duration=257 frames, utt_pad_proportion=0.06984, over 27582.83 utterances.], batch size: 98, lr: 1.69e-04
+2022-09-19 13:04:24,930 INFO [train.py:885] (1/2) Epoch 28, batch 250, loss[loss=0.3884, simple_loss=0.4829, pruned_loss=0.1469, over 13184.00 frames. utt_duration=82.31 frames, utt_pad_proportion=0.1053, over 653.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3398, pruned_loss=0.09492, over 1987291.29 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06864, over 31648.28 utterances.], batch size: 653, lr: 1.69e-04
+2022-09-19 13:04:54,821 INFO [train.py:885] (1/2) Epoch 28, batch 300, loss[loss=0.2709, simple_loss=0.3435, pruned_loss=0.09917, over 14380.00 frames. utt_duration=345.8 frames, utt_pad_proportion=0.03686, over 167.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3427, pruned_loss=0.09623, over 2162227.56 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07058, over 35617.52 utterances.], batch size: 167, lr: 1.69e-04
+2022-09-19 13:05:23,814 INFO [train.py:885] (1/2) Epoch 28, batch 350, loss[loss=0.3192, simple_loss=0.3811, pruned_loss=0.1287, over 14309.00 frames. utt_duration=203.8 frames, utt_pad_proportion=0.03877, over 283.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3419, pruned_loss=0.09618, over 2299130.59 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07052, over 37675.76 utterances.], batch size: 283, lr: 1.69e-04
+2022-09-19 13:05:53,444 INFO [train.py:885] (1/2) Epoch 28, batch 400, loss[loss=0.4987, simple_loss=0.5839, pruned_loss=0.2068, over 12562.00 frames. utt_duration=63.52 frames, utt_pad_proportion=0.1417, over 810.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3423, pruned_loss=0.09645, over 2406907.83 frames. utt_duration=243.4 frames, utt_pad_proportion=0.06942, over 39797.24 utterances.], batch size: 810, lr: 1.69e-04
+2022-09-19 13:06:23,063 INFO [train.py:885] (1/2) Epoch 28, batch 450, loss[loss=0.3046, simple_loss=0.367, pruned_loss=0.121, over 14292.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04127, over 262.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3411, pruned_loss=0.0956, over 2491213.34 frames. utt_duration=245.5 frames, utt_pad_proportion=0.0695, over 40827.04 utterances.], batch size: 262, lr: 1.69e-04
+2022-09-19 13:06:52,835 INFO [train.py:885] (1/2) Epoch 28, batch 500, loss[loss=0.1617, simple_loss=0.2406, pruned_loss=0.04139, over 13747.00 frames. utt_duration=1101 frames, utt_pad_proportion=0.07466, over 50.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3412, pruned_loss=0.09612, over 2556785.74 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06948, over 41212.02 utterances.], batch size: 50, lr: 1.69e-04
+2022-09-19 13:07:21,720 INFO [train.py:885] (1/2) Epoch 28, batch 550, loss[loss=0.2414, simple_loss=0.3133, pruned_loss=0.08471, over 14275.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.04389, over 141.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3423, pruned_loss=0.0974, over 2607738.61 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06952, over 42384.77 utterances.], batch size: 141, lr: 1.69e-04
+2022-09-19 13:07:50,744 INFO [train.py:885] (1/2) Epoch 28, batch 600, loss[loss=0.1897, simple_loss=0.2487, pruned_loss=0.06534, over 13473.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.09448, over 50.00 utterances.], tot_loss[loss=0.264, simple_loss=0.3373, pruned_loss=0.09531, over 2644851.77 frames. utt_duration=261.9 frames, utt_pad_proportion=0.06742, over 40617.54 utterances.], batch size: 50, lr: 1.69e-04
+2022-09-19 13:08:20,685 INFO [train.py:885] (1/2) Epoch 28, batch 650, loss[loss=0.3039, simple_loss=0.3709, pruned_loss=0.1184, over 14375.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03285, over 244.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.342, pruned_loss=0.09774, over 2673735.39 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07079, over 42759.66 utterances.], batch size: 244, lr: 1.69e-04
+2022-09-19 13:08:50,106 INFO [train.py:885] (1/2) Epoch 28, batch 700, loss[loss=0.6241, simple_loss=0.6746, pruned_loss=0.2868, over 12434.00 frames. utt_duration=62.88 frames, utt_pad_proportion=0.1503, over 811.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3447, pruned_loss=0.09853, over 2692240.36 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07419, over 45058.79 utterances.], batch size: 811, lr: 1.69e-04
+2022-09-19 13:09:19,311 INFO [train.py:885] (1/2) Epoch 28, batch 750, loss[loss=0.4858, simple_loss=0.5714, pruned_loss=0.2001, over 12508.00 frames. utt_duration=63.26 frames, utt_pad_proportion=0.1451, over 810.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3452, pruned_loss=0.09878, over 2713846.66 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07205, over 45115.59 utterances.], batch size: 810, lr: 1.69e-04
+2022-09-19 13:09:48,876 INFO [train.py:885] (1/2) Epoch 28, batch 800, loss[loss=0.2335, simple_loss=0.3189, pruned_loss=0.07403, over 14360.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03833, over 167.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3476, pruned_loss=0.09973, over 2733759.19 frames. utt_duration=240 frames, utt_pad_proportion=0.06886, over 45843.87 utterances.], batch size: 167, lr: 1.69e-04
+2022-09-19 13:10:18,721 INFO [train.py:885] (1/2) Epoch 28, batch 850, loss[loss=0.3478, simple_loss=0.4112, pruned_loss=0.1422, over 14350.00 frames. utt_duration=220.4 frames, utt_pad_proportion=0.03743, over 262.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3447, pruned_loss=0.09887, over 2744736.24 frames. utt_duration=248.1 frames, utt_pad_proportion=0.068, over 44512.24 utterances.], batch size: 262, lr: 1.69e-04
+2022-09-19 13:10:48,495 INFO [train.py:885] (1/2) Epoch 28, batch 900, loss[loss=0.3953, simple_loss=0.4429, pruned_loss=0.1739, over 14260.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04127, over 335.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3474, pruned_loss=0.1006, over 2747908.75 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07069, over 46061.58 utterances.], batch size: 335, lr: 1.69e-04
+2022-09-19 13:11:17,621 INFO [train.py:885] (1/2) Epoch 28, batch 950, loss[loss=0.2987, simple_loss=0.3975, pruned_loss=0.09997, over 13803.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06904, over 411.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3437, pruned_loss=0.09886, over 2754255.94 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06939, over 43659.37 utterances.], batch size: 411, lr: 1.69e-04
+2022-09-19 13:11:47,023 INFO [train.py:885] (1/2) Epoch 28, batch 1000, loss[loss=0.1891, simple_loss=0.2493, pruned_loss=0.06443, over 13832.00 frames. utt_duration=803.2 frames, utt_pad_proportion=0.06492, over 69.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3444, pruned_loss=0.0988, over 2763209.71 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06912, over 43808.34 utterances.], batch size: 69, lr: 1.69e-04
+2022-09-19 13:12:16,295 INFO [train.py:885] (1/2) Epoch 28, batch 1050, loss[loss=0.314, simple_loss=0.409, pruned_loss=0.1095, over 13771.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07203, over 411.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.344, pruned_loss=0.09867, over 2766410.35 frames. utt_duration=258 frames, utt_pad_proportion=0.06863, over 43133.96 utterances.], batch size: 411, lr: 1.69e-04
+2022-09-19 13:12:45,903 INFO [train.py:885] (1/2) Epoch 28, batch 1100, loss[loss=0.2929, simple_loss=0.3697, pruned_loss=0.108, over 14251.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04182, over 225.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3474, pruned_loss=0.1, over 2773814.98 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06944, over 44449.64 utterances.], batch size: 225, lr: 1.69e-04
+2022-09-19 13:13:15,078 INFO [train.py:885] (1/2) Epoch 28, batch 1150, loss[loss=0.1705, simple_loss=0.2583, pruned_loss=0.0414, over 13658.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08399, over 42.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3479, pruned_loss=0.09998, over 2775534.94 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07009, over 45097.68 utterances.], batch size: 42, lr: 1.69e-04
+2022-09-19 13:13:44,976 INFO [train.py:885] (1/2) Epoch 28, batch 1200, loss[loss=0.2553, simple_loss=0.3301, pruned_loss=0.09028, over 14317.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03911, over 120.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3479, pruned_loss=0.09975, over 2777120.33 frames. utt_duration=247 frames, utt_pad_proportion=0.07068, over 45239.03 utterances.], batch size: 120, lr: 1.69e-04
+2022-09-19 13:14:13,972 INFO [train.py:885] (1/2) Epoch 28, batch 1250, loss[loss=0.1705, simple_loss=0.2308, pruned_loss=0.05511, over 13781.00 frames. utt_duration=920.2 frames, utt_pad_proportion=0.06955, over 60.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3467, pruned_loss=0.09918, over 2779084.02 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07022, over 45198.05 utterances.], batch size: 60, lr: 1.69e-04
+2022-09-19 13:14:43,744 INFO [train.py:885] (1/2) Epoch 28, batch 1300, loss[loss=0.6163, simple_loss=0.655, pruned_loss=0.2888, over 12486.00 frames. utt_duration=63.21 frames, utt_pad_proportion=0.1458, over 811.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3488, pruned_loss=0.1002, over 2781550.99 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07008, over 46330.71 utterances.], batch size: 811, lr: 1.69e-04
+2022-09-19 13:15:13,439 INFO [train.py:885] (1/2) Epoch 28, batch 1350, loss[loss=0.1428, simple_loss=0.2092, pruned_loss=0.03822, over 13229.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.1077, over 33.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3443, pruned_loss=0.09852, over 2776486.52 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07193, over 44723.33 utterances.], batch size: 33, lr: 1.69e-04
+2022-09-19 13:15:42,803 INFO [train.py:885] (1/2) Epoch 28, batch 1400, loss[loss=0.2804, simple_loss=0.3625, pruned_loss=0.0991, over 14354.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03614, over 210.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3438, pruned_loss=0.0982, over 2776129.37 frames. utt_duration=252 frames, utt_pad_proportion=0.07311, over 44330.20 utterances.], batch size: 210, lr: 1.69e-04
+2022-09-19 13:16:12,728 INFO [train.py:885] (1/2) Epoch 28, batch 1450, loss[loss=0.5734, simple_loss=0.6469, pruned_loss=0.2499, over 12496.00 frames. utt_duration=63.27 frames, utt_pad_proportion=0.145, over 810.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3428, pruned_loss=0.09748, over 2774877.63 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07366, over 44866.59 utterances.], batch size: 810, lr: 1.69e-04
+2022-09-19 13:16:41,989 INFO [train.py:885] (1/2) Epoch 28, batch 1500, loss[loss=0.3129, simple_loss=0.3888, pruned_loss=0.1185, over 14260.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04214, over 335.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3433, pruned_loss=0.09779, over 2775181.51 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07274, over 45148.35 utterances.], batch size: 335, lr: 1.69e-04
+2022-09-19 13:17:11,544 INFO [train.py:885] (1/2) Epoch 28, batch 1550, loss[loss=0.2858, simple_loss=0.3868, pruned_loss=0.09236, over 13610.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08221, over 477.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3445, pruned_loss=0.09817, over 2774140.00 frames. utt_duration=245.8 frames, utt_pad_proportion=0.0726, over 45418.05 utterances.], batch size: 477, lr: 1.69e-04
+2022-09-19 13:17:40,723 INFO [train.py:885] (1/2) Epoch 28, batch 1600, loss[loss=0.2599, simple_loss=0.3426, pruned_loss=0.08863, over 14280.00 frames. utt_duration=318.7 frames, utt_pad_proportion=0.04009, over 180.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3428, pruned_loss=0.09766, over 2777277.64 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07129, over 44136.98 utterances.], batch size: 180, lr: 1.69e-04
+2022-09-19 13:18:10,442 INFO [train.py:885] (1/2) Epoch 28, batch 1650, loss[loss=0.3517, simple_loss=0.3995, pruned_loss=0.152, over 14313.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.03771, over 154.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3457, pruned_loss=0.09918, over 2780183.80 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07138, over 45038.72 utterances.], batch size: 154, lr: 1.69e-04
+2022-09-19 13:18:39,817 INFO [train.py:885] (1/2) Epoch 28, batch 1700, loss[loss=0.2995, simple_loss=0.368, pruned_loss=0.1155, over 14296.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03932, over 180.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3433, pruned_loss=0.09826, over 2783043.77 frames. utt_duration=253.8 frames, utt_pad_proportion=0.0701, over 44114.33 utterances.], batch size: 180, lr: 1.69e-04
+2022-09-19 13:19:09,446 INFO [train.py:885] (1/2) Epoch 28, batch 1750, loss[loss=0.3496, simple_loss=0.4084, pruned_loss=0.1454, over 14220.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04313, over 306.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3444, pruned_loss=0.09873, over 2781385.50 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07061, over 45144.03 utterances.], batch size: 306, lr: 1.69e-04
+2022-09-19 13:19:38,823 INFO [train.py:885] (1/2) Epoch 28, batch 1800, loss[loss=0.1632, simple_loss=0.2318, pruned_loss=0.04723, over 13006.00 frames. utt_duration=1578 frames, utt_pad_proportion=0.1268, over 33.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3442, pruned_loss=0.09904, over 2782365.43 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07161, over 44987.54 utterances.], batch size: 33, lr: 1.69e-04
+2022-09-19 13:20:07,552 INFO [train.py:885] (1/2) Epoch 28, batch 1850, loss[loss=0.2769, simple_loss=0.3698, pruned_loss=0.09203, over 13996.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05608, over 365.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3432, pruned_loss=0.09823, over 2782196.77 frames. utt_duration=248.4 frames, utt_pad_proportion=0.0704, over 45067.89 utterances.], batch size: 365, lr: 1.69e-04
+2022-09-19 13:20:37,034 INFO [train.py:885] (1/2) Epoch 28, batch 1900, loss[loss=0.2509, simple_loss=0.3524, pruned_loss=0.07465, over 14021.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05464, over 365.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3444, pruned_loss=0.09841, over 2781366.46 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07184, over 45556.36 utterances.], batch size: 365, lr: 1.69e-04
+2022-09-19 13:21:06,769 INFO [train.py:885] (1/2) Epoch 28, batch 1950, loss[loss=0.2522, simple_loss=0.3545, pruned_loss=0.075, over 13972.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05757, over 365.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.346, pruned_loss=0.09894, over 2780143.49 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07264, over 46309.08 utterances.], batch size: 365, lr: 1.69e-04
+2022-09-19 13:21:36,510 INFO [train.py:885] (1/2) Epoch 28, batch 2000, loss[loss=0.2524, simple_loss=0.3343, pruned_loss=0.08522, over 14327.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03686, over 180.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3476, pruned_loss=0.09953, over 2777599.14 frames. utt_duration=236 frames, utt_pad_proportion=0.0748, over 47374.89 utterances.], batch size: 180, lr: 1.69e-04
+2022-09-19 13:22:06,092 INFO [train.py:885] (1/2) Epoch 28, batch 2050, loss[loss=0.3293, simple_loss=0.4075, pruned_loss=0.1256, over 13957.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05867, over 365.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3494, pruned_loss=0.1005, over 2777006.75 frames. utt_duration=235 frames, utt_pad_proportion=0.07645, over 47565.01 utterances.], batch size: 365, lr: 1.69e-04
+2022-09-19 13:22:35,826 INFO [train.py:885] (1/2) Epoch 28, batch 2100, loss[loss=0.1729, simple_loss=0.2546, pruned_loss=0.0456, over 13810.00 frames. utt_duration=922.3 frames, utt_pad_proportion=0.07308, over 60.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.348, pruned_loss=0.09961, over 2775917.21 frames. utt_duration=234 frames, utt_pad_proportion=0.07603, over 47762.82 utterances.], batch size: 60, lr: 1.69e-04
+2022-09-19 13:23:05,117 INFO [train.py:885] (1/2) Epoch 28, batch 2150, loss[loss=0.2958, simple_loss=0.368, pruned_loss=0.1118, over 14193.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04523, over 306.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3492, pruned_loss=0.1001, over 2777194.80 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07507, over 48153.06 utterances.], batch size: 306, lr: 1.69e-04
+2022-09-19 13:23:34,507 INFO [train.py:885] (1/2) Epoch 28, batch 2200, loss[loss=0.275, simple_loss=0.342, pruned_loss=0.104, over 14273.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.04407, over 141.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3487, pruned_loss=0.1, over 2784509.64 frames. utt_duration=237 frames, utt_pad_proportion=0.07138, over 47286.28 utterances.], batch size: 141, lr: 1.69e-04
+2022-09-19 13:24:03,897 INFO [train.py:885] (1/2) Epoch 28, batch 2250, loss[loss=0.2435, simple_loss=0.3051, pruned_loss=0.09092, over 14065.00 frames. utt_duration=575.5 frames, utt_pad_proportion=0.05656, over 98.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3497, pruned_loss=0.1009, over 2782579.00 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07244, over 47424.83 utterances.], batch size: 98, lr: 1.69e-04
+2022-09-19 13:24:33,337 INFO [train.py:885] (1/2) Epoch 28, batch 2300, loss[loss=0.2095, simple_loss=0.2887, pruned_loss=0.06518, over 14205.00 frames. utt_duration=640 frames, utt_pad_proportion=0.04622, over 89.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3456, pruned_loss=0.09874, over 2779228.40 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07287, over 46102.86 utterances.], batch size: 89, lr: 1.69e-04
+2022-09-19 13:25:11,795 INFO [train.py:885] (1/2) Epoch 28, batch 2350, loss[loss=0.3844, simple_loss=0.4821, pruned_loss=0.1434, over 13185.00 frames. utt_duration=82.29 frames, utt_pad_proportion=0.1055, over 653.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3521, pruned_loss=0.1016, over 2776049.62 frames. utt_duration=226.8 frames, utt_pad_proportion=0.07495, over 49286.18 utterances.], batch size: 653, lr: 1.69e-04
+2022-09-19 13:25:41,193 INFO [train.py:885] (1/2) Epoch 28, batch 2400, loss[loss=0.3545, simple_loss=0.4531, pruned_loss=0.1279, over 13634.00 frames. utt_duration=98.77 frames, utt_pad_proportion=0.0769, over 560.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3506, pruned_loss=0.101, over 2779105.91 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07451, over 48410.67 utterances.], batch size: 560, lr: 1.69e-04
+2022-09-19 13:26:10,163 INFO [train.py:885] (1/2) Epoch 28, batch 2450, loss[loss=0.2979, simple_loss=0.4052, pruned_loss=0.09528, over 13640.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08003, over 477.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3479, pruned_loss=0.09996, over 2781915.84 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07333, over 47069.09 utterances.], batch size: 477, lr: 1.69e-04
+2022-09-19 13:26:39,867 INFO [train.py:885] (1/2) Epoch 28, batch 2500, loss[loss=0.1765, simple_loss=0.2435, pruned_loss=0.05477, over 13528.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08627, over 50.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3471, pruned_loss=0.09965, over 2778410.50 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07352, over 47093.39 utterances.], batch size: 50, lr: 1.69e-04
+2022-09-19 13:27:09,386 INFO [train.py:885] (1/2) Epoch 28, batch 2550, loss[loss=0.3692, simple_loss=0.4257, pruned_loss=0.1563, over 14231.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04276, over 335.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3498, pruned_loss=0.1008, over 2774948.33 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07561, over 48192.99 utterances.], batch size: 335, lr: 1.69e-04
+2022-09-19 13:27:38,620 INFO [train.py:885] (1/2) Epoch 28, batch 2600, loss[loss=0.329, simple_loss=0.4054, pruned_loss=0.1263, over 13953.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05877, over 365.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3496, pruned_loss=0.1005, over 2775227.74 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07448, over 47931.41 utterances.], batch size: 365, lr: 1.69e-04
+2022-09-19 13:28:08,131 INFO [train.py:885] (1/2) Epoch 28, batch 2650, loss[loss=0.3398, simple_loss=0.4369, pruned_loss=0.1214, over 13599.00 frames. utt_duration=98.55 frames, utt_pad_proportion=0.07894, over 560.00 utterances.], tot_loss[loss=0.2763, simple_loss=0.3509, pruned_loss=0.1008, over 2774495.01 frames. utt_duration=228.3 frames, utt_pad_proportion=0.07528, over 48929.35 utterances.], batch size: 560, lr: 1.69e-04
+2022-09-19 13:28:37,399 INFO [train.py:885] (1/2) Epoch 28, batch 2700, loss[loss=0.2974, simple_loss=0.3755, pruned_loss=0.1097, over 14310.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03975, over 262.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3474, pruned_loss=0.09951, over 2774175.55 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07605, over 47414.81 utterances.], batch size: 262, lr: 1.69e-04
+2022-09-19 13:29:06,867 INFO [train.py:885] (1/2) Epoch 28, batch 2750, loss[loss=0.2989, simple_loss=0.3422, pruned_loss=0.1278, over 14097.00 frames. utt_duration=577 frames, utt_pad_proportion=0.0526, over 98.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3492, pruned_loss=0.1007, over 2780885.45 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07334, over 47167.22 utterances.], batch size: 98, lr: 1.69e-04
+2022-09-19 13:29:37,032 INFO [train.py:885] (1/2) Epoch 28, batch 2800, loss[loss=0.1366, simple_loss=0.1918, pruned_loss=0.04067, over 13202.00 frames. utt_duration=1289 frames, utt_pad_proportion=0.1003, over 41.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3477, pruned_loss=0.0998, over 2778106.21 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07331, over 46923.62 utterances.], batch size: 41, lr: 1.69e-04
+2022-09-19 13:30:06,765 INFO [train.py:885] (1/2) Epoch 28, batch 2850, loss[loss=0.2414, simple_loss=0.3212, pruned_loss=0.0808, over 14280.00 frames. utt_duration=406.5 frames, utt_pad_proportion=0.04357, over 141.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3462, pruned_loss=0.09869, over 2782430.82 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07287, over 46312.90 utterances.], batch size: 141, lr: 1.69e-04
+2022-09-19 13:30:42,698 INFO [train.py:885] (1/2) Epoch 28, batch 2900, loss[loss=0.2604, simple_loss=0.3329, pruned_loss=0.09392, over 14298.00 frames. utt_duration=319.3 frames, utt_pad_proportion=0.03834, over 180.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3478, pruned_loss=0.09915, over 2784432.83 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07196, over 47340.23 utterances.], batch size: 180, lr: 1.69e-04
+2022-09-19 13:31:12,057 INFO [train.py:885] (1/2) Epoch 28, batch 2950, loss[loss=0.2492, simple_loss=0.3368, pruned_loss=0.08079, over 14316.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03875, over 262.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3486, pruned_loss=0.09931, over 2783298.57 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07245, over 47933.79 utterances.], batch size: 262, lr: 1.69e-04
+2022-09-19 13:31:42,110 INFO [train.py:885] (1/2) Epoch 28, batch 3000, loss[loss=0.1905, simple_loss=0.2449, pruned_loss=0.06804, over 12347.00 frames. utt_duration=2059 frames, utt_pad_proportion=0.1522, over 24.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.349, pruned_loss=0.1003, over 2781798.25 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07228, over 47761.27 utterances.], batch size: 24, lr: 1.69e-04
+2022-09-19 13:31:42,111 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 13:31:46,801 INFO [train.py:914] (1/2) Epoch 28, validation: loss=0.1904, simple_loss=0.2704, pruned_loss=0.05518, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 13:32:16,494 INFO [train.py:885] (1/2) Epoch 28, batch 3050, loss[loss=0.1993, simple_loss=0.2628, pruned_loss=0.06792, over 13800.00 frames. utt_duration=921.6 frames, utt_pad_proportion=0.07095, over 60.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3444, pruned_loss=0.09759, over 2778580.71 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07133, over 46642.72 utterances.], batch size: 60, lr: 1.68e-04
+2022-09-19 13:32:45,553 INFO [train.py:885] (1/2) Epoch 28, batch 3100, loss[loss=0.3842, simple_loss=0.463, pruned_loss=0.1527, over 13599.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08274, over 477.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3436, pruned_loss=0.09777, over 2780938.99 frames. utt_duration=243.5 frames, utt_pad_proportion=0.06928, over 45952.74 utterances.], batch size: 477, lr: 1.68e-04
+2022-09-19 13:33:15,279 INFO [train.py:885] (1/2) Epoch 28, batch 3150, loss[loss=0.1958, simple_loss=0.2739, pruned_loss=0.0588, over 14093.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.0547, over 98.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3424, pruned_loss=0.09783, over 2778127.75 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07168, over 45539.39 utterances.], batch size: 98, lr: 1.68e-04
+2022-09-19 13:33:44,720 INFO [train.py:885] (1/2) Epoch 28, batch 3200, loss[loss=0.2831, simple_loss=0.3452, pruned_loss=0.1105, over 14286.00 frames. utt_duration=441 frames, utt_pad_proportion=0.04127, over 130.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.347, pruned_loss=0.09973, over 2778476.95 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07281, over 47449.97 utterances.], batch size: 130, lr: 1.68e-04
+2022-09-19 13:34:14,414 INFO [train.py:885] (1/2) Epoch 28, batch 3250, loss[loss=0.1932, simple_loss=0.2393, pruned_loss=0.07352, over 13560.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08721, over 50.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3459, pruned_loss=0.0995, over 2782469.63 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07228, over 46814.54 utterances.], batch size: 50, lr: 1.68e-04
+2022-09-19 13:34:44,389 INFO [train.py:885] (1/2) Epoch 28, batch 3300, loss[loss=0.1716, simple_loss=0.2421, pruned_loss=0.05051, over 14260.00 frames. utt_duration=642.4 frames, utt_pad_proportion=0.0412, over 89.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3448, pruned_loss=0.09925, over 2780203.55 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07238, over 46187.75 utterances.], batch size: 89, lr: 1.68e-04
+2022-09-19 13:35:13,750 INFO [train.py:885] (1/2) Epoch 28, batch 3350, loss[loss=0.1905, simple_loss=0.262, pruned_loss=0.05954, over 14132.00 frames. utt_duration=636.8 frames, utt_pad_proportion=0.0482, over 89.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3428, pruned_loss=0.09787, over 2782068.22 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07008, over 45069.60 utterances.], batch size: 89, lr: 1.68e-04
+2022-09-19 13:35:43,120 INFO [train.py:885] (1/2) Epoch 28, batch 3400, loss[loss=0.3589, simple_loss=0.4082, pruned_loss=0.1548, over 14270.00 frames. utt_duration=171.7 frames, utt_pad_proportion=0.04069, over 335.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3423, pruned_loss=0.09764, over 2782353.75 frames. utt_duration=251.5 frames, utt_pad_proportion=0.06913, over 44514.11 utterances.], batch size: 335, lr: 1.68e-04
+2022-09-19 13:36:12,811 INFO [train.py:885] (1/2) Epoch 28, batch 3450, loss[loss=0.249, simple_loss=0.3107, pruned_loss=0.09371, over 14089.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05325, over 98.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.341, pruned_loss=0.09689, over 2781546.48 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06827, over 43522.03 utterances.], batch size: 98, lr: 1.68e-04
+2022-09-19 13:36:42,125 INFO [train.py:885] (1/2) Epoch 28, batch 3500, loss[loss=0.3508, simple_loss=0.4288, pruned_loss=0.1364, over 13779.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07163, over 411.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3411, pruned_loss=0.09696, over 2783019.25 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06841, over 44166.21 utterances.], batch size: 411, lr: 1.68e-04
+2022-09-19 13:37:11,855 INFO [train.py:885] (1/2) Epoch 28, batch 3550, loss[loss=0.2456, simple_loss=0.3232, pruned_loss=0.08396, over 14324.00 frames. utt_duration=442 frames, utt_pad_proportion=0.0371, over 130.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.342, pruned_loss=0.09724, over 2782996.91 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06869, over 44683.44 utterances.], batch size: 130, lr: 1.68e-04
+2022-09-19 13:37:41,597 INFO [train.py:885] (1/2) Epoch 28, batch 3600, loss[loss=0.1782, simple_loss=0.2548, pruned_loss=0.05081, over 14149.00 frames. utt_duration=637.2 frames, utt_pad_proportion=0.05035, over 89.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3451, pruned_loss=0.09896, over 2785564.90 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06894, over 45688.28 utterances.], batch size: 89, lr: 1.68e-04
+2022-09-19 13:38:11,251 INFO [train.py:885] (1/2) Epoch 28, batch 3650, loss[loss=0.1636, simple_loss=0.2321, pruned_loss=0.04758, over 13629.00 frames. utt_duration=1299 frames, utt_pad_proportion=0.08889, over 42.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.345, pruned_loss=0.09931, over 2782996.08 frames. utt_duration=246.4 frames, utt_pad_proportion=0.0683, over 45452.88 utterances.], batch size: 42, lr: 1.68e-04
+2022-09-19 13:38:40,202 INFO [train.py:885] (1/2) Epoch 28, batch 3700, loss[loss=0.2329, simple_loss=0.3176, pruned_loss=0.07403, over 14306.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03963, over 120.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3471, pruned_loss=0.1005, over 2784342.24 frames. utt_duration=244.6 frames, utt_pad_proportion=0.06996, over 45813.19 utterances.], batch size: 120, lr: 1.68e-04
+2022-09-19 13:39:09,480 INFO [train.py:885] (1/2) Epoch 28, batch 3750, loss[loss=0.4267, simple_loss=0.499, pruned_loss=0.1771, over 13657.00 frames. utt_duration=116 frames, utt_pad_proportion=0.0794, over 477.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.348, pruned_loss=0.1006, over 2783696.51 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07079, over 46000.25 utterances.], batch size: 477, lr: 1.68e-04
+2022-09-19 13:39:39,113 INFO [train.py:885] (1/2) Epoch 28, batch 3800, loss[loss=0.175, simple_loss=0.2261, pruned_loss=0.06194, over 12712.00 frames. utt_duration=2036 frames, utt_pad_proportion=0.1378, over 25.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3472, pruned_loss=0.09994, over 2786938.96 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06853, over 45575.43 utterances.], batch size: 25, lr: 1.68e-04
+2022-09-19 13:40:08,332 INFO [train.py:885] (1/2) Epoch 28, batch 3850, loss[loss=0.2994, simple_loss=0.3761, pruned_loss=0.1114, over 14352.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03584, over 210.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3484, pruned_loss=0.1004, over 2787187.86 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07005, over 46251.07 utterances.], batch size: 210, lr: 1.68e-04
+2022-09-19 13:40:37,869 INFO [train.py:885] (1/2) Epoch 28, batch 3900, loss[loss=0.1699, simple_loss=0.2272, pruned_loss=0.0563, over 13208.00 frames. utt_duration=1602 frames, utt_pad_proportion=0.1078, over 33.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3479, pruned_loss=0.1008, over 2785521.65 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07052, over 45866.18 utterances.], batch size: 33, lr: 1.68e-04
+2022-09-19 13:41:07,361 INFO [train.py:885] (1/2) Epoch 28, batch 3950, loss[loss=0.1886, simple_loss=0.2661, pruned_loss=0.05559, over 13873.00 frames. utt_duration=805.6 frames, utt_pad_proportion=0.06108, over 69.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3477, pruned_loss=0.1008, over 2783214.78 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07122, over 45886.40 utterances.], batch size: 69, lr: 1.68e-04
+2022-09-19 13:41:37,462 INFO [train.py:885] (1/2) Epoch 28, batch 4000, loss[loss=0.359, simple_loss=0.3972, pruned_loss=0.1603, over 14325.00 frames. utt_duration=442.3 frames, utt_pad_proportion=0.03642, over 130.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3472, pruned_loss=0.1011, over 2780920.63 frames. utt_duration=245 frames, utt_pad_proportion=0.07053, over 45670.88 utterances.], batch size: 130, lr: 1.68e-04
+2022-09-19 13:42:06,472 INFO [train.py:885] (1/2) Epoch 28, batch 4050, loss[loss=0.1654, simple_loss=0.2274, pruned_loss=0.05173, over 13192.00 frames. utt_duration=1553 frames, utt_pad_proportion=0.1154, over 34.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3422, pruned_loss=0.09883, over 2781367.07 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06876, over 44331.37 utterances.], batch size: 34, lr: 1.68e-04
+2022-09-19 13:42:36,039 INFO [train.py:885] (1/2) Epoch 28, batch 4100, loss[loss=0.3529, simple_loss=0.3997, pruned_loss=0.1531, over 14233.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04296, over 335.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3461, pruned_loss=0.1002, over 2780608.34 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07059, over 46302.65 utterances.], batch size: 335, lr: 1.68e-04
+2022-09-19 13:43:04,882 INFO [train.py:885] (1/2) Epoch 28, batch 4150, loss[loss=0.2124, simple_loss=0.2907, pruned_loss=0.06705, over 14298.00 frames. utt_duration=441.4 frames, utt_pad_proportion=0.04047, over 130.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3462, pruned_loss=0.1003, over 2781277.64 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07126, over 45523.01 utterances.], batch size: 130, lr: 1.68e-04
+2022-09-19 13:43:34,377 INFO [train.py:885] (1/2) Epoch 28, batch 4200, loss[loss=0.2483, simple_loss=0.3339, pruned_loss=0.08133, over 14271.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04041, over 130.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3486, pruned_loss=0.1016, over 2786651.39 frames. utt_duration=243.6 frames, utt_pad_proportion=0.06958, over 46038.92 utterances.], batch size: 130, lr: 1.68e-04
+2022-09-19 13:44:04,184 INFO [train.py:885] (1/2) Epoch 28, batch 4250, loss[loss=0.1703, simple_loss=0.2325, pruned_loss=0.05406, over 13875.00 frames. utt_duration=926.4 frames, utt_pad_proportion=0.06891, over 60.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.349, pruned_loss=0.1013, over 2788901.02 frames. utt_duration=242.8 frames, utt_pad_proportion=0.06874, over 46233.90 utterances.], batch size: 60, lr: 1.68e-04
+2022-09-19 13:44:33,488 INFO [train.py:885] (1/2) Epoch 28, batch 4300, loss[loss=0.1472, simple_loss=0.2151, pruned_loss=0.03964, over 13361.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.08788, over 41.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3455, pruned_loss=0.1001, over 2788105.85 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06822, over 44808.63 utterances.], batch size: 41, lr: 1.68e-04
+2022-09-19 13:45:02,899 INFO [train.py:885] (1/2) Epoch 28, batch 4350, loss[loss=0.1993, simple_loss=0.2638, pruned_loss=0.06741, over 13569.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08331, over 50.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3456, pruned_loss=0.1004, over 2785774.33 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06904, over 44246.08 utterances.], batch size: 50, lr: 1.68e-04
+2022-09-19 13:45:32,731 INFO [train.py:885] (1/2) Epoch 28, batch 4400, loss[loss=0.2843, simple_loss=0.3738, pruned_loss=0.09739, over 14036.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.05381, over 365.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3455, pruned_loss=0.1, over 2786222.57 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06979, over 44358.38 utterances.], batch size: 365, lr: 1.68e-04
+2022-09-19 13:46:02,145 INFO [train.py:885] (1/2) Epoch 28, batch 4450, loss[loss=0.2631, simple_loss=0.3425, pruned_loss=0.0919, over 14289.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03907, over 180.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3439, pruned_loss=0.09898, over 2780549.90 frames. utt_duration=253.9 frames, utt_pad_proportion=0.07143, over 44065.24 utterances.], batch size: 180, lr: 1.68e-04
+2022-09-19 13:46:31,720 INFO [train.py:885] (1/2) Epoch 28, batch 4500, loss[loss=0.2701, simple_loss=0.323, pruned_loss=0.1086, over 14149.00 frames. utt_duration=637.4 frames, utt_pad_proportion=0.04863, over 89.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3414, pruned_loss=0.09747, over 2782413.53 frames. utt_duration=258.3 frames, utt_pad_proportion=0.07061, over 43336.39 utterances.], batch size: 89, lr: 1.68e-04
+2022-09-19 13:47:01,163 INFO [train.py:885] (1/2) Epoch 28, batch 4550, loss[loss=0.2909, simple_loss=0.3848, pruned_loss=0.09847, over 14021.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05436, over 365.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3448, pruned_loss=0.09817, over 2781659.81 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07298, over 45480.09 utterances.], batch size: 365, lr: 1.68e-04
+2022-09-19 13:47:31,265 INFO [train.py:885] (1/2) Epoch 28, batch 4600, loss[loss=0.1483, simple_loss=0.2064, pruned_loss=0.04506, over 13065.00 frames. utt_duration=2092 frames, utt_pad_proportion=0.118, over 25.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3454, pruned_loss=0.09799, over 2781720.33 frames. utt_duration=244 frames, utt_pad_proportion=0.07256, over 45883.91 utterances.], batch size: 25, lr: 1.68e-04
+2022-09-19 13:47:59,307 INFO [train.py:885] (1/2) Epoch 28, batch 4650, loss[loss=0.2076, simple_loss=0.2867, pruned_loss=0.0642, over 14381.00 frames. utt_duration=480.7 frames, utt_pad_proportion=0.03466, over 120.00 utterances.], tot_loss[loss=0.2657, simple_loss=0.3406, pruned_loss=0.09538, over 2787297.14 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06948, over 43767.33 utterances.], batch size: 120, lr: 1.68e-04
+2022-09-19 13:48:29,322 INFO [train.py:885] (1/2) Epoch 28, batch 4700, loss[loss=0.2909, simple_loss=0.3844, pruned_loss=0.09867, over 13769.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07234, over 411.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3435, pruned_loss=0.09703, over 2782089.28 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07167, over 44808.20 utterances.], batch size: 411, lr: 1.68e-04
+2022-09-19 13:48:58,431 INFO [train.py:885] (1/2) Epoch 28, batch 4750, loss[loss=0.2863, simple_loss=0.3621, pruned_loss=0.1052, over 14354.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03319, over 244.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3463, pruned_loss=0.09903, over 2784857.28 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07073, over 45399.38 utterances.], batch size: 244, lr: 1.68e-04
+2022-09-19 13:49:27,907 INFO [train.py:885] (1/2) Epoch 28, batch 4800, loss[loss=0.2389, simple_loss=0.2903, pruned_loss=0.09373, over 14096.00 frames. utt_duration=714.9 frames, utt_pad_proportion=0.05437, over 79.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3458, pruned_loss=0.0987, over 2782584.85 frames. utt_duration=248 frames, utt_pad_proportion=0.07118, over 45149.85 utterances.], batch size: 79, lr: 1.68e-04
+2022-09-19 13:49:57,393 INFO [train.py:885] (1/2) Epoch 28, batch 4850, loss[loss=0.1778, simple_loss=0.2445, pruned_loss=0.05548, over 13503.00 frames. utt_duration=1638 frames, utt_pad_proportion=0.09252, over 33.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3475, pruned_loss=0.09925, over 2778556.85 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07345, over 46735.37 utterances.], batch size: 33, lr: 1.68e-04
+2022-09-19 13:50:26,860 INFO [train.py:885] (1/2) Epoch 28, batch 4900, loss[loss=0.3681, simple_loss=0.4193, pruned_loss=0.1585, over 14233.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04328, over 335.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.351, pruned_loss=0.1014, over 2778419.56 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07413, over 47677.15 utterances.], batch size: 335, lr: 1.68e-04
+2022-09-19 13:50:56,722 INFO [train.py:885] (1/2) Epoch 28, batch 4950, loss[loss=0.2326, simple_loss=0.2983, pruned_loss=0.08347, over 14089.00 frames. utt_duration=576.4 frames, utt_pad_proportion=0.05352, over 98.00 utterances.], tot_loss[loss=0.2793, simple_loss=0.3534, pruned_loss=0.1026, over 2783072.37 frames. utt_duration=233.3 frames, utt_pad_proportion=0.0736, over 48023.54 utterances.], batch size: 98, lr: 1.68e-04
+2022-09-19 13:51:25,937 INFO [train.py:885] (1/2) Epoch 28, batch 5000, loss[loss=0.1601, simple_loss=0.2309, pruned_loss=0.04465, over 13883.00 frames. utt_duration=927 frames, utt_pad_proportion=0.06745, over 60.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3521, pruned_loss=0.1015, over 2780380.65 frames. utt_duration=232 frames, utt_pad_proportion=0.07492, over 48244.32 utterances.], batch size: 60, lr: 1.68e-04
+2022-09-19 13:51:55,905 INFO [train.py:885] (1/2) Epoch 28, batch 5050, loss[loss=0.1737, simple_loss=0.2155, pruned_loss=0.06598, over 13211.00 frames. utt_duration=1603 frames, utt_pad_proportion=0.112, over 33.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3475, pruned_loss=0.09923, over 2773318.19 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07473, over 47245.67 utterances.], batch size: 33, lr: 1.68e-04
+2022-09-19 13:52:25,259 INFO [train.py:885] (1/2) Epoch 28, batch 5100, loss[loss=0.1826, simple_loss=0.2415, pruned_loss=0.06192, over 13331.00 frames. utt_duration=1302 frames, utt_pad_proportion=0.08996, over 41.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3476, pruned_loss=0.09901, over 2778038.80 frames. utt_duration=237 frames, utt_pad_proportion=0.07442, over 47174.73 utterances.], batch size: 41, lr: 1.68e-04
+2022-09-19 13:52:54,946 INFO [train.py:885] (1/2) Epoch 28, batch 5150, loss[loss=0.6075, simple_loss=0.6644, pruned_loss=0.2752, over 12517.00 frames. utt_duration=63.39 frames, utt_pad_proportion=0.1433, over 810.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3499, pruned_loss=0.1007, over 2776107.76 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07551, over 47977.06 utterances.], batch size: 810, lr: 1.68e-04
+2022-09-19 13:53:24,626 INFO [train.py:885] (1/2) Epoch 28, batch 5200, loss[loss=0.1806, simple_loss=0.2609, pruned_loss=0.05017, over 14146.00 frames. utt_duration=637.4 frames, utt_pad_proportion=0.0473, over 89.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3457, pruned_loss=0.09881, over 2777567.49 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07326, over 46323.10 utterances.], batch size: 89, lr: 1.68e-04
+2022-09-19 13:53:53,849 INFO [train.py:885] (1/2) Epoch 28, batch 5250, loss[loss=0.1831, simple_loss=0.255, pruned_loss=0.05561, over 13611.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.07766, over 50.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3452, pruned_loss=0.09841, over 2779189.69 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07319, over 47116.11 utterances.], batch size: 50, lr: 1.68e-04
+2022-09-19 13:54:23,397 INFO [train.py:885] (1/2) Epoch 28, batch 5300, loss[loss=0.1711, simple_loss=0.2342, pruned_loss=0.05406, over 14015.00 frames. utt_duration=802.2 frames, utt_pad_proportion=0.06283, over 70.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3464, pruned_loss=0.09991, over 2780793.08 frames. utt_duration=236.5 frames, utt_pad_proportion=0.0736, over 47333.40 utterances.], batch size: 70, lr: 1.68e-04
+2022-09-19 13:54:52,859 INFO [train.py:885] (1/2) Epoch 28, batch 5350, loss[loss=0.356, simple_loss=0.464, pruned_loss=0.1241, over 13168.00 frames. utt_duration=82.2 frames, utt_pad_proportion=0.1065, over 653.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.346, pruned_loss=0.09966, over 2777264.14 frames. utt_duration=238 frames, utt_pad_proportion=0.07434, over 46973.44 utterances.], batch size: 653, lr: 1.68e-04
+2022-09-19 13:55:22,382 INFO [train.py:885] (1/2) Epoch 28, batch 5400, loss[loss=0.19, simple_loss=0.2616, pruned_loss=0.05916, over 13686.00 frames. utt_duration=1305 frames, utt_pad_proportion=0.07371, over 42.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.345, pruned_loss=0.09905, over 2777434.70 frames. utt_duration=240 frames, utt_pad_proportion=0.07481, over 46577.27 utterances.], batch size: 42, lr: 1.68e-04
+2022-09-19 13:55:52,123 INFO [train.py:885] (1/2) Epoch 28, batch 5450, loss[loss=0.3369, simple_loss=0.4257, pruned_loss=0.124, over 13679.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07838, over 477.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3433, pruned_loss=0.09779, over 2778639.03 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07298, over 46346.64 utterances.], batch size: 477, lr: 1.68e-04
+2022-09-19 13:56:22,077 INFO [train.py:885] (1/2) Epoch 28, batch 5500, loss[loss=0.3431, simple_loss=0.4024, pruned_loss=0.1419, over 14370.00 frames. utt_duration=237 frames, utt_pad_proportion=0.03647, over 244.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3445, pruned_loss=0.09856, over 2780871.18 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07347, over 46361.47 utterances.], batch size: 244, lr: 1.68e-04
+2022-09-19 13:56:51,949 INFO [train.py:885] (1/2) Epoch 28, batch 5550, loss[loss=0.4712, simple_loss=0.5695, pruned_loss=0.1865, over 12517.00 frames. utt_duration=63.4 frames, utt_pad_proportion=0.1433, over 810.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3469, pruned_loss=0.09974, over 2777629.30 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07513, over 46927.69 utterances.], batch size: 810, lr: 1.68e-04
+2022-09-19 13:57:21,241 INFO [train.py:885] (1/2) Epoch 28, batch 5600, loss[loss=0.312, simple_loss=0.3825, pruned_loss=0.1207, over 14201.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.0447, over 306.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3478, pruned_loss=0.09975, over 2780521.95 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07334, over 47345.75 utterances.], batch size: 306, lr: 1.68e-04
+2022-09-19 13:57:50,819 INFO [train.py:885] (1/2) Epoch 28, batch 5650, loss[loss=0.3276, simple_loss=0.3868, pruned_loss=0.1342, over 14268.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04135, over 225.00 utterances.], tot_loss[loss=0.274, simple_loss=0.3478, pruned_loss=0.1001, over 2782016.78 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07159, over 47073.82 utterances.], batch size: 225, lr: 1.68e-04
+2022-09-19 13:58:20,249 INFO [train.py:885] (1/2) Epoch 28, batch 5700, loss[loss=0.3209, simple_loss=0.4065, pruned_loss=0.1176, over 13980.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05675, over 365.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3482, pruned_loss=0.1001, over 2780819.18 frames. utt_duration=237 frames, utt_pad_proportion=0.0709, over 47225.33 utterances.], batch size: 365, lr: 1.68e-04
+2022-09-19 13:58:49,866 INFO [train.py:885] (1/2) Epoch 28, batch 5750, loss[loss=0.3003, simple_loss=0.3708, pruned_loss=0.1148, over 14335.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03698, over 195.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3496, pruned_loss=0.1004, over 2778131.37 frames. utt_duration=231.3 frames, utt_pad_proportion=0.07246, over 48361.62 utterances.], batch size: 195, lr: 1.68e-04
+2022-09-19 13:59:19,258 INFO [train.py:885] (1/2) Epoch 28, batch 5800, loss[loss=0.2029, simple_loss=0.2779, pruned_loss=0.0639, over 13975.00 frames. utt_duration=933.2 frames, utt_pad_proportion=0.05931, over 60.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3456, pruned_loss=0.09854, over 2776201.13 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07224, over 47043.57 utterances.], batch size: 60, lr: 1.68e-04
+2022-09-19 13:59:49,126 INFO [train.py:885] (1/2) Epoch 28, batch 5850, loss[loss=0.1635, simple_loss=0.2212, pruned_loss=0.05296, over 12593.00 frames. utt_duration=2100 frames, utt_pad_proportion=0.1525, over 24.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3419, pruned_loss=0.09711, over 2773573.39 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07204, over 45322.59 utterances.], batch size: 24, lr: 1.68e-04
+2022-09-19 14:00:17,979 INFO [train.py:885] (1/2) Epoch 28, batch 5900, loss[loss=0.2839, simple_loss=0.3512, pruned_loss=0.1083, over 14282.00 frames. utt_duration=477.4 frames, utt_pad_proportion=0.04327, over 120.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.342, pruned_loss=0.09686, over 2778126.77 frames. utt_duration=251 frames, utt_pad_proportion=0.06916, over 44542.06 utterances.], batch size: 120, lr: 1.68e-04
+2022-09-19 14:00:47,808 INFO [train.py:885] (1/2) Epoch 28, batch 5950, loss[loss=0.1406, simple_loss=0.2095, pruned_loss=0.0358, over 13406.00 frames. utt_duration=1626 frames, utt_pad_proportion=0.101, over 33.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3409, pruned_loss=0.09669, over 2773740.82 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07146, over 44361.85 utterances.], batch size: 33, lr: 1.68e-04
+2022-09-19 14:01:17,057 INFO [train.py:885] (1/2) Epoch 28, batch 6000, loss[loss=0.261, simple_loss=0.3285, pruned_loss=0.0967, over 14345.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.0393, over 167.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3417, pruned_loss=0.09732, over 2774643.11 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07211, over 44994.50 utterances.], batch size: 167, lr: 1.68e-04
+2022-09-19 14:01:17,058 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 14:01:21,233 INFO [train.py:914] (1/2) Epoch 28, validation: loss=0.1905, simple_loss=0.2697, pruned_loss=0.05568, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 14:01:51,004 INFO [train.py:885] (1/2) Epoch 28, batch 6050, loss[loss=0.4048, simple_loss=0.4864, pruned_loss=0.1616, over 13646.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08043, over 477.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.349, pruned_loss=0.1001, over 2771213.16 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07604, over 48321.03 utterances.], batch size: 477, lr: 1.68e-04
+2022-09-19 14:02:20,531 INFO [train.py:885] (1/2) Epoch 28, batch 6100, loss[loss=0.4788, simple_loss=0.4894, pruned_loss=0.2341, over 14228.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04394, over 335.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3502, pruned_loss=0.1022, over 2773512.55 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07398, over 47439.89 utterances.], batch size: 335, lr: 1.68e-04
+2022-09-19 14:02:49,670 INFO [train.py:885] (1/2) Epoch 28, batch 6150, loss[loss=0.161, simple_loss=0.2221, pruned_loss=0.04993, over 13540.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.07935, over 50.00 utterances.], tot_loss[loss=0.2773, simple_loss=0.3501, pruned_loss=0.1023, over 2776209.80 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07274, over 47108.77 utterances.], batch size: 50, lr: 1.68e-04
+2022-09-19 14:03:19,653 INFO [train.py:885] (1/2) Epoch 28, batch 6200, loss[loss=0.2769, simple_loss=0.3567, pruned_loss=0.09858, over 14329.00 frames. utt_duration=255 frames, utt_pad_proportion=0.03762, over 226.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3489, pruned_loss=0.1016, over 2776106.97 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07201, over 46584.69 utterances.], batch size: 226, lr: 1.68e-04
+2022-09-19 14:03:48,684 INFO [train.py:885] (1/2) Epoch 28, batch 6250, loss[loss=0.4258, simple_loss=0.4561, pruned_loss=0.1978, over 14237.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04326, over 335.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3463, pruned_loss=0.1006, over 2776239.68 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07066, over 45803.69 utterances.], batch size: 335, lr: 1.68e-04
+2022-09-19 14:04:18,520 INFO [train.py:885] (1/2) Epoch 28, batch 6300, loss[loss=0.2804, simple_loss=0.3828, pruned_loss=0.08897, over 13748.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07329, over 411.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3474, pruned_loss=0.1008, over 2774538.71 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07266, over 46479.15 utterances.], batch size: 411, lr: 1.68e-04
+2022-09-19 14:04:48,860 INFO [train.py:885] (1/2) Epoch 28, batch 6350, loss[loss=0.2417, simple_loss=0.3271, pruned_loss=0.07817, over 14295.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.03898, over 154.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3494, pruned_loss=0.1018, over 2780230.70 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07241, over 47202.95 utterances.], batch size: 154, lr: 1.68e-04
+2022-09-19 14:05:18,711 INFO [train.py:885] (1/2) Epoch 28, batch 6400, loss[loss=0.2265, simple_loss=0.2914, pruned_loss=0.08083, over 13801.00 frames. utt_duration=801.6 frames, utt_pad_proportion=0.06679, over 69.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3457, pruned_loss=0.09901, over 2776286.56 frames. utt_duration=240.2 frames, utt_pad_proportion=0.0746, over 46521.83 utterances.], batch size: 69, lr: 1.68e-04
+2022-09-19 14:05:48,605 INFO [train.py:885] (1/2) Epoch 28, batch 6450, loss[loss=0.2408, simple_loss=0.3099, pruned_loss=0.08587, over 14400.00 frames. utt_duration=477.5 frames, utt_pad_proportion=0.03729, over 121.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3437, pruned_loss=0.09816, over 2774926.11 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07349, over 45340.43 utterances.], batch size: 121, lr: 1.68e-04
+2022-09-19 14:06:17,712 INFO [train.py:885] (1/2) Epoch 28, batch 6500, loss[loss=0.2278, simple_loss=0.3201, pruned_loss=0.06774, over 14343.00 frames. utt_duration=371.8 frames, utt_pad_proportion=0.03938, over 155.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3451, pruned_loss=0.09949, over 2777452.31 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07286, over 45470.91 utterances.], batch size: 155, lr: 1.68e-04
+2022-09-19 14:06:47,054 INFO [train.py:885] (1/2) Epoch 28, batch 6550, loss[loss=0.212, simple_loss=0.2637, pruned_loss=0.08014, over 13009.00 frames. utt_duration=2083 frames, utt_pad_proportion=0.1242, over 25.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3431, pruned_loss=0.0982, over 2776755.75 frames. utt_duration=247.3 frames, utt_pad_proportion=0.0715, over 45190.32 utterances.], batch size: 25, lr: 1.68e-04
+2022-09-19 14:07:16,541 INFO [train.py:885] (1/2) Epoch 28, batch 6600, loss[loss=0.3813, simple_loss=0.433, pruned_loss=0.1649, over 14252.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04179, over 335.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3449, pruned_loss=0.09889, over 2778938.48 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07065, over 45884.18 utterances.], batch size: 335, lr: 1.68e-04
+2022-09-19 14:07:45,924 INFO [train.py:885] (1/2) Epoch 28, batch 6650, loss[loss=0.242, simple_loss=0.3206, pruned_loss=0.08167, over 14292.00 frames. utt_duration=441.1 frames, utt_pad_proportion=0.039, over 130.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3446, pruned_loss=0.09859, over 2785220.09 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06878, over 45232.84 utterances.], batch size: 130, lr: 1.68e-04
+2022-09-19 14:08:15,660 INFO [train.py:885] (1/2) Epoch 28, batch 6700, loss[loss=0.2359, simple_loss=0.3055, pruned_loss=0.0831, over 14005.00 frames. utt_duration=934.9 frames, utt_pad_proportion=0.06131, over 60.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3438, pruned_loss=0.09816, over 2785167.63 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06856, over 44769.77 utterances.], batch size: 60, lr: 1.68e-04
+2022-09-19 14:08:44,690 INFO [train.py:885] (1/2) Epoch 28, batch 6750, loss[loss=0.3335, simple_loss=0.3971, pruned_loss=0.1349, over 14268.00 frames. utt_duration=255 frames, utt_pad_proportion=0.04127, over 225.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3399, pruned_loss=0.09587, over 2784614.88 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06815, over 43315.84 utterances.], batch size: 225, lr: 1.68e-04
+2022-09-19 14:09:14,433 INFO [train.py:885] (1/2) Epoch 28, batch 6800, loss[loss=0.2394, simple_loss=0.3135, pruned_loss=0.08266, over 14155.00 frames. utt_duration=579.4 frames, utt_pad_proportion=0.04859, over 98.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3402, pruned_loss=0.09623, over 2779706.90 frames. utt_duration=257.8 frames, utt_pad_proportion=0.07022, over 43385.85 utterances.], batch size: 98, lr: 1.68e-04
+2022-09-19 14:09:44,259 INFO [train.py:885] (1/2) Epoch 28, batch 6850, loss[loss=0.1899, simple_loss=0.2671, pruned_loss=0.05637, over 13847.00 frames. utt_duration=804.4 frames, utt_pad_proportion=0.06357, over 69.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3423, pruned_loss=0.09612, over 2778368.63 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07178, over 44812.45 utterances.], batch size: 69, lr: 1.68e-04
+2022-09-19 14:10:13,593 INFO [train.py:885] (1/2) Epoch 28, batch 6900, loss[loss=0.257, simple_loss=0.3439, pruned_loss=0.08507, over 14313.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03835, over 226.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.3401, pruned_loss=0.09539, over 2774957.35 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07099, over 44397.44 utterances.], batch size: 226, lr: 1.68e-04
+2022-09-19 14:10:43,904 INFO [train.py:885] (1/2) Epoch 28, batch 6950, loss[loss=0.1686, simple_loss=0.2405, pruned_loss=0.04836, over 13579.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.09118, over 42.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3426, pruned_loss=0.09674, over 2780991.26 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06959, over 45004.97 utterances.], batch size: 42, lr: 1.68e-04
+2022-09-19 14:11:12,641 INFO [train.py:885] (1/2) Epoch 28, batch 7000, loss[loss=0.3171, simple_loss=0.4188, pruned_loss=0.1077, over 13626.00 frames. utt_duration=98.56 frames, utt_pad_proportion=0.07887, over 560.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3409, pruned_loss=0.09629, over 2787073.09 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06634, over 43568.76 utterances.], batch size: 560, lr: 1.68e-04
+2022-09-19 14:11:42,341 INFO [train.py:885] (1/2) Epoch 28, batch 7050, loss[loss=0.1675, simple_loss=0.2394, pruned_loss=0.04782, over 14050.00 frames. utt_duration=712.8 frames, utt_pad_proportion=0.05711, over 79.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3388, pruned_loss=0.09577, over 2780947.44 frames. utt_duration=257.8 frames, utt_pad_proportion=0.06745, over 43397.51 utterances.], batch size: 79, lr: 1.68e-04
+2022-09-19 14:12:12,151 INFO [train.py:885] (1/2) Epoch 28, batch 7100, loss[loss=0.4569, simple_loss=0.5554, pruned_loss=0.1792, over 12450.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1478, over 810.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.34, pruned_loss=0.09608, over 2779664.77 frames. utt_duration=252.9 frames, utt_pad_proportion=0.06961, over 44228.50 utterances.], batch size: 810, lr: 1.68e-04
+2022-09-19 14:12:41,229 INFO [train.py:885] (1/2) Epoch 28, batch 7150, loss[loss=0.2769, simple_loss=0.3546, pruned_loss=0.0996, over 14327.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03728, over 195.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3395, pruned_loss=0.09671, over 2782542.39 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06934, over 43537.95 utterances.], batch size: 195, lr: 1.68e-04
+2022-09-19 14:13:10,788 INFO [train.py:885] (1/2) Epoch 28, batch 7200, loss[loss=0.2533, simple_loss=0.3349, pruned_loss=0.08587, over 14344.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03672, over 195.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3407, pruned_loss=0.09706, over 2785199.74 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06771, over 43925.76 utterances.], batch size: 195, lr: 1.67e-04
+2022-09-19 14:13:40,285 INFO [train.py:885] (1/2) Epoch 28, batch 7250, loss[loss=0.3586, simple_loss=0.4569, pruned_loss=0.1301, over 13130.00 frames. utt_duration=81.99 frames, utt_pad_proportion=0.1088, over 653.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3396, pruned_loss=0.09637, over 2780693.22 frames. utt_duration=255.7 frames, utt_pad_proportion=0.06939, over 43747.94 utterances.], batch size: 653, lr: 1.67e-04
+2022-09-19 14:14:10,389 INFO [train.py:885] (1/2) Epoch 28, batch 7300, loss[loss=0.3063, simple_loss=0.4117, pruned_loss=0.1004, over 13582.00 frames. utt_duration=98.4 frames, utt_pad_proportion=0.08039, over 560.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3436, pruned_loss=0.09831, over 2778805.56 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07191, over 45237.50 utterances.], batch size: 560, lr: 1.67e-04
+2022-09-19 14:14:39,563 INFO [train.py:885] (1/2) Epoch 28, batch 7350, loss[loss=0.2216, simple_loss=0.2979, pruned_loss=0.07267, over 14182.00 frames. utt_duration=521.8 frames, utt_pad_proportion=0.04426, over 109.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3431, pruned_loss=0.09826, over 2776892.66 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07271, over 45333.07 utterances.], batch size: 109, lr: 1.67e-04
+2022-09-19 14:15:09,103 INFO [train.py:885] (1/2) Epoch 28, batch 7400, loss[loss=0.2111, simple_loss=0.281, pruned_loss=0.07059, over 14028.00 frames. utt_duration=711.7 frames, utt_pad_proportion=0.05864, over 79.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3433, pruned_loss=0.09873, over 2782604.09 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07115, over 44231.51 utterances.], batch size: 79, lr: 1.67e-04
+2022-09-19 14:15:38,652 INFO [train.py:885] (1/2) Epoch 28, batch 7450, loss[loss=0.2283, simple_loss=0.3045, pruned_loss=0.07604, over 14327.00 frames. utt_duration=479 frames, utt_pad_proportion=0.03814, over 120.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3427, pruned_loss=0.09761, over 2777540.90 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07293, over 44599.77 utterances.], batch size: 120, lr: 1.67e-04
+2022-09-19 14:16:09,264 INFO [train.py:885] (1/2) Epoch 28, batch 7500, loss[loss=0.169, simple_loss=0.2403, pruned_loss=0.04885, over 13488.00 frames. utt_duration=1317 frames, utt_pad_proportion=0.08017, over 41.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3445, pruned_loss=0.09831, over 2779064.24 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07263, over 45221.66 utterances.], batch size: 41, lr: 1.67e-04
+2022-09-19 14:16:38,455 INFO [train.py:885] (1/2) Epoch 28, batch 7550, loss[loss=0.2983, simple_loss=0.3485, pruned_loss=0.1241, over 14242.00 frames. utt_duration=524.3 frames, utt_pad_proportion=0.0397, over 109.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3453, pruned_loss=0.09878, over 2777670.57 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07404, over 45338.58 utterances.], batch size: 109, lr: 1.67e-04
+2022-09-19 14:17:08,029 INFO [train.py:885] (1/2) Epoch 28, batch 7600, loss[loss=0.2493, simple_loss=0.3347, pruned_loss=0.08193, over 14359.00 frames. utt_duration=320.5 frames, utt_pad_proportion=0.03462, over 180.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3419, pruned_loss=0.09679, over 2780775.14 frames. utt_duration=252.9 frames, utt_pad_proportion=0.07192, over 44239.78 utterances.], batch size: 180, lr: 1.67e-04
+2022-09-19 14:17:37,309 INFO [train.py:885] (1/2) Epoch 28, batch 7650, loss[loss=0.2559, simple_loss=0.3347, pruned_loss=0.08859, over 14343.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03673, over 210.00 utterances.], tot_loss[loss=0.2649, simple_loss=0.3383, pruned_loss=0.09572, over 2781566.88 frames. utt_duration=261.7 frames, utt_pad_proportion=0.07015, over 42749.88 utterances.], batch size: 210, lr: 1.67e-04
+2022-09-19 14:18:06,540 INFO [train.py:885] (1/2) Epoch 28, batch 7700, loss[loss=0.2637, simple_loss=0.3725, pruned_loss=0.07747, over 13707.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07078, over 478.00 utterances.], tot_loss[loss=0.2646, simple_loss=0.3386, pruned_loss=0.09528, over 2782937.25 frames. utt_duration=258.8 frames, utt_pad_proportion=0.06936, over 43250.14 utterances.], batch size: 478, lr: 1.67e-04
+2022-09-19 14:18:36,384 INFO [train.py:885] (1/2) Epoch 28, batch 7750, loss[loss=0.2551, simple_loss=0.3112, pruned_loss=0.09948, over 14133.00 frames. utt_duration=578.4 frames, utt_pad_proportion=0.05018, over 98.00 utterances.], tot_loss[loss=0.2634, simple_loss=0.3376, pruned_loss=0.09458, over 2783131.75 frames. utt_duration=258.4 frames, utt_pad_proportion=0.06944, over 43335.56 utterances.], batch size: 98, lr: 1.67e-04
+2022-09-19 14:19:05,555 INFO [train.py:885] (1/2) Epoch 28, batch 7800, loss[loss=0.2562, simple_loss=0.3394, pruned_loss=0.08645, over 14368.00 frames. utt_duration=204.4 frames, utt_pad_proportion=0.03592, over 283.00 utterances.], tot_loss[loss=0.2616, simple_loss=0.336, pruned_loss=0.09361, over 2782112.90 frames. utt_duration=260.2 frames, utt_pad_proportion=0.06777, over 43019.41 utterances.], batch size: 283, lr: 1.67e-04
+2022-09-19 14:19:43,890 INFO [train.py:885] (1/2) Epoch 28, batch 7850, loss[loss=0.4178, simple_loss=0.487, pruned_loss=0.1743, over 13998.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.0562, over 365.00 utterances.], tot_loss[loss=0.2635, simple_loss=0.3383, pruned_loss=0.09436, over 2777294.12 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07131, over 44264.45 utterances.], batch size: 365, lr: 1.67e-04
+2022-09-19 14:20:13,507 INFO [train.py:885] (1/2) Epoch 28, batch 7900, loss[loss=0.2722, simple_loss=0.3523, pruned_loss=0.09601, over 14306.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03922, over 226.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3417, pruned_loss=0.0964, over 2779025.10 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07339, over 45489.85 utterances.], batch size: 226, lr: 1.67e-04
+2022-09-19 14:20:42,743 INFO [train.py:885] (1/2) Epoch 28, batch 7950, loss[loss=0.3357, simple_loss=0.3903, pruned_loss=0.1406, over 14230.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04313, over 306.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3425, pruned_loss=0.09738, over 2776876.17 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07456, over 45661.13 utterances.], batch size: 306, lr: 1.67e-04
+2022-09-19 14:21:12,289 INFO [train.py:885] (1/2) Epoch 28, batch 8000, loss[loss=0.3072, simple_loss=0.3758, pruned_loss=0.1193, over 14332.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.0384, over 262.00 utterances.], tot_loss[loss=0.2649, simple_loss=0.3386, pruned_loss=0.09557, over 2774533.92 frames. utt_duration=253 frames, utt_pad_proportion=0.07414, over 44132.13 utterances.], batch size: 262, lr: 1.67e-04
+2022-09-19 14:21:42,380 INFO [train.py:885] (1/2) Epoch 28, batch 8050, loss[loss=0.1715, simple_loss=0.2364, pruned_loss=0.0533, over 13834.00 frames. utt_duration=923.9 frames, utt_pad_proportion=0.07244, over 60.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3423, pruned_loss=0.09742, over 2773988.47 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07415, over 45297.18 utterances.], batch size: 60, lr: 1.67e-04
+2022-09-19 14:22:12,280 INFO [train.py:885] (1/2) Epoch 28, batch 8100, loss[loss=0.2115, simple_loss=0.2793, pruned_loss=0.07187, over 13964.00 frames. utt_duration=708.6 frames, utt_pad_proportion=0.06271, over 79.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3422, pruned_loss=0.09681, over 2770045.10 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07636, over 45723.43 utterances.], batch size: 79, lr: 1.67e-04
+2022-09-19 14:22:41,832 INFO [train.py:885] (1/2) Epoch 28, batch 8150, loss[loss=0.2472, simple_loss=0.3216, pruned_loss=0.08638, over 14311.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03892, over 120.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3412, pruned_loss=0.0965, over 2773786.54 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07428, over 44709.83 utterances.], batch size: 120, lr: 1.67e-04
+2022-09-19 14:23:11,282 INFO [train.py:885] (1/2) Epoch 28, batch 8200, loss[loss=0.3121, simple_loss=0.379, pruned_loss=0.1225, over 14272.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04303, over 154.00 utterances.], tot_loss[loss=0.2646, simple_loss=0.3382, pruned_loss=0.09548, over 2769237.27 frames. utt_duration=254.6 frames, utt_pad_proportion=0.07507, over 43755.83 utterances.], batch size: 154, lr: 1.67e-04
+2022-09-19 14:23:40,220 INFO [train.py:885] (1/2) Epoch 28, batch 8250, loss[loss=0.322, simple_loss=0.3884, pruned_loss=0.1278, over 14359.00 frames. utt_duration=275 frames, utt_pad_proportion=0.0352, over 210.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3406, pruned_loss=0.09688, over 2775924.82 frames. utt_duration=256.3 frames, utt_pad_proportion=0.07237, over 43576.61 utterances.], batch size: 210, lr: 1.67e-04
+2022-09-19 14:24:09,525 INFO [train.py:885] (1/2) Epoch 28, batch 8300, loss[loss=0.3378, simple_loss=0.4336, pruned_loss=0.121, over 13619.00 frames. utt_duration=98.65 frames, utt_pad_proportion=0.07802, over 560.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3395, pruned_loss=0.09624, over 2774530.00 frames. utt_duration=256.7 frames, utt_pad_proportion=0.07174, over 43488.32 utterances.], batch size: 560, lr: 1.67e-04
+2022-09-19 14:24:39,431 INFO [train.py:885] (1/2) Epoch 28, batch 8350, loss[loss=0.3416, simple_loss=0.4053, pruned_loss=0.139, over 14344.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03369, over 244.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3444, pruned_loss=0.09915, over 2771020.10 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07549, over 45670.04 utterances.], batch size: 244, lr: 1.67e-04
+2022-09-19 14:25:09,076 INFO [train.py:885] (1/2) Epoch 28, batch 8400, loss[loss=0.1645, simple_loss=0.2449, pruned_loss=0.04203, over 13339.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.09005, over 41.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3467, pruned_loss=0.1002, over 2771091.91 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07565, over 47000.79 utterances.], batch size: 41, lr: 1.67e-04
+2022-09-19 14:25:39,092 INFO [train.py:885] (1/2) Epoch 28, batch 8450, loss[loss=0.3735, simple_loss=0.4674, pruned_loss=0.1397, over 13105.00 frames. utt_duration=81.83 frames, utt_pad_proportion=0.1106, over 653.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3444, pruned_loss=0.09853, over 2775430.61 frames. utt_duration=241.9 frames, utt_pad_proportion=0.0743, over 46171.87 utterances.], batch size: 653, lr: 1.67e-04
+2022-09-19 14:26:08,051 INFO [train.py:885] (1/2) Epoch 28, batch 8500, loss[loss=0.2882, simple_loss=0.3699, pruned_loss=0.1033, over 14315.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03842, over 195.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3449, pruned_loss=0.0987, over 2779167.73 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07256, over 45846.84 utterances.], batch size: 195, lr: 1.67e-04
+2022-09-19 14:26:37,625 INFO [train.py:885] (1/2) Epoch 28, batch 8550, loss[loss=0.165, simple_loss=0.2314, pruned_loss=0.04936, over 13836.00 frames. utt_duration=924 frames, utt_pad_proportion=0.07134, over 60.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3415, pruned_loss=0.09653, over 2774947.98 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07413, over 45420.16 utterances.], batch size: 60, lr: 1.67e-04
+2022-09-19 14:27:07,283 INFO [train.py:885] (1/2) Epoch 28, batch 8600, loss[loss=0.2958, simple_loss=0.3993, pruned_loss=0.0961, over 13660.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07865, over 477.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3433, pruned_loss=0.09782, over 2775378.60 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07306, over 45720.67 utterances.], batch size: 477, lr: 1.67e-04
+2022-09-19 14:27:37,043 INFO [train.py:885] (1/2) Epoch 28, batch 8650, loss[loss=0.1556, simple_loss=0.2172, pruned_loss=0.047, over 13040.00 frames. utt_duration=2008 frames, utt_pad_proportion=0.1099, over 26.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3424, pruned_loss=0.09731, over 2777562.60 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07207, over 44926.06 utterances.], batch size: 26, lr: 1.67e-04
+2022-09-19 14:28:06,156 INFO [train.py:885] (1/2) Epoch 28, batch 8700, loss[loss=0.1713, simple_loss=0.2558, pruned_loss=0.04338, over 14160.00 frames. utt_duration=637.9 frames, utt_pad_proportion=0.04646, over 89.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3392, pruned_loss=0.0962, over 2782077.96 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06915, over 43029.11 utterances.], batch size: 89, lr: 1.67e-04
+2022-09-19 14:28:36,091 INFO [train.py:885] (1/2) Epoch 28, batch 8750, loss[loss=0.2829, simple_loss=0.3597, pruned_loss=0.1031, over 14268.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04053, over 225.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3412, pruned_loss=0.0968, over 2784495.60 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06839, over 43919.66 utterances.], batch size: 225, lr: 1.67e-04
+2022-09-19 14:29:05,931 INFO [train.py:885] (1/2) Epoch 28, batch 8800, loss[loss=0.1571, simple_loss=0.2326, pruned_loss=0.04079, over 13401.00 frames. utt_duration=1073 frames, utt_pad_proportion=0.09877, over 50.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3409, pruned_loss=0.09646, over 2780544.98 frames. utt_duration=252.4 frames, utt_pad_proportion=0.07035, over 44332.39 utterances.], batch size: 50, lr: 1.67e-04
+2022-09-19 14:29:35,099 INFO [train.py:885] (1/2) Epoch 28, batch 8850, loss[loss=0.1589, simple_loss=0.2234, pruned_loss=0.04721, over 13391.00 frames. utt_duration=1073 frames, utt_pad_proportion=0.09621, over 50.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3393, pruned_loss=0.09624, over 2781439.12 frames. utt_duration=258.9 frames, utt_pad_proportion=0.06966, over 43222.61 utterances.], batch size: 50, lr: 1.67e-04
+2022-09-19 14:30:04,867 INFO [train.py:885] (1/2) Epoch 28, batch 8900, loss[loss=0.3268, simple_loss=0.3846, pruned_loss=0.1345, over 14287.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04068, over 262.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3388, pruned_loss=0.09542, over 2779800.77 frames. utt_duration=256.4 frames, utt_pad_proportion=0.0691, over 43611.49 utterances.], batch size: 262, lr: 1.67e-04
+2022-09-19 14:30:33,834 INFO [train.py:885] (1/2) Epoch 28, batch 8950, loss[loss=0.2878, simple_loss=0.3861, pruned_loss=0.09476, over 13737.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07339, over 411.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3398, pruned_loss=0.096, over 2787539.29 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06745, over 43357.55 utterances.], batch size: 411, lr: 1.67e-04
+2022-09-19 14:31:03,678 INFO [train.py:885] (1/2) Epoch 28, batch 9000, loss[loss=0.2979, simple_loss=0.4015, pruned_loss=0.09714, over 13604.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08316, over 477.00 utterances.], tot_loss[loss=0.2647, simple_loss=0.3389, pruned_loss=0.09525, over 2785879.95 frames. utt_duration=259.9 frames, utt_pad_proportion=0.0675, over 43129.33 utterances.], batch size: 477, lr: 1.67e-04
+2022-09-19 14:31:03,679 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 14:31:07,837 INFO [train.py:914] (1/2) Epoch 28, validation: loss=0.1959, simple_loss=0.2747, pruned_loss=0.05853, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 14:31:36,806 INFO [train.py:885] (1/2) Epoch 28, batch 9050, loss[loss=0.4419, simple_loss=0.5209, pruned_loss=0.1815, over 13648.00 frames. utt_duration=98.97 frames, utt_pad_proportion=0.07503, over 560.00 utterances.], tot_loss[loss=0.2642, simple_loss=0.3383, pruned_loss=0.09509, over 2788904.88 frames. utt_duration=262.9 frames, utt_pad_proportion=0.06559, over 42672.64 utterances.], batch size: 560, lr: 1.67e-04
+2022-09-19 14:32:07,674 INFO [train.py:885] (1/2) Epoch 28, batch 9100, loss[loss=0.2833, simple_loss=0.3849, pruned_loss=0.09082, over 13587.00 frames. utt_duration=115.4 frames, utt_pad_proportion=0.08382, over 477.00 utterances.], tot_loss[loss=0.2643, simple_loss=0.3384, pruned_loss=0.09514, over 2781476.67 frames. utt_duration=258.9 frames, utt_pad_proportion=0.0692, over 43217.99 utterances.], batch size: 477, lr: 1.67e-04
+2022-09-19 14:32:36,836 INFO [train.py:885] (1/2) Epoch 28, batch 9150, loss[loss=0.157, simple_loss=0.2193, pruned_loss=0.04735, over 13413.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.08447, over 41.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.3396, pruned_loss=0.0956, over 2785721.05 frames. utt_duration=255.2 frames, utt_pad_proportion=0.06842, over 43922.90 utterances.], batch size: 41, lr: 1.67e-04
+2022-09-19 14:33:06,470 INFO [train.py:885] (1/2) Epoch 28, batch 9200, loss[loss=0.1741, simple_loss=0.2471, pruned_loss=0.05051, over 13073.00 frames. utt_duration=1586 frames, utt_pad_proportion=0.1183, over 33.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.339, pruned_loss=0.09496, over 2788510.75 frames. utt_duration=261.4 frames, utt_pad_proportion=0.06652, over 42913.43 utterances.], batch size: 33, lr: 1.67e-04
+2022-09-19 14:33:35,489 INFO [train.py:885] (1/2) Epoch 28, batch 9250, loss[loss=0.2761, simple_loss=0.3491, pruned_loss=0.1016, over 14291.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.04198, over 154.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.3394, pruned_loss=0.09568, over 2787231.96 frames. utt_duration=261.5 frames, utt_pad_proportion=0.06721, over 42875.36 utterances.], batch size: 154, lr: 1.67e-04
+2022-09-19 14:34:04,919 INFO [train.py:885] (1/2) Epoch 28, batch 9300, loss[loss=0.1692, simple_loss=0.2588, pruned_loss=0.03983, over 13878.00 frames. utt_duration=806.4 frames, utt_pad_proportion=0.06126, over 69.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.3391, pruned_loss=0.09486, over 2785092.44 frames. utt_duration=260.9 frames, utt_pad_proportion=0.06735, over 42947.36 utterances.], batch size: 69, lr: 1.67e-04
+2022-09-19 14:34:34,856 INFO [train.py:885] (1/2) Epoch 28, batch 9350, loss[loss=0.3913, simple_loss=0.4864, pruned_loss=0.1481, over 13157.00 frames. utt_duration=82.1 frames, utt_pad_proportion=0.1076, over 653.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3426, pruned_loss=0.09617, over 2782293.82 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07048, over 45181.25 utterances.], batch size: 653, lr: 1.67e-04
+2022-09-19 14:35:04,422 INFO [train.py:885] (1/2) Epoch 28, batch 9400, loss[loss=0.1933, simple_loss=0.2681, pruned_loss=0.05929, over 14109.00 frames. utt_duration=715.8 frames, utt_pad_proportion=0.05196, over 79.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3394, pruned_loss=0.09504, over 2786181.78 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06927, over 43604.08 utterances.], batch size: 79, lr: 1.67e-04
+2022-09-19 14:35:33,882 INFO [train.py:885] (1/2) Epoch 28, batch 9450, loss[loss=0.3013, simple_loss=0.3741, pruned_loss=0.1142, over 14262.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0407, over 225.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3409, pruned_loss=0.09614, over 2783136.20 frames. utt_duration=254.2 frames, utt_pad_proportion=0.06876, over 44043.30 utterances.], batch size: 225, lr: 1.67e-04
+2022-09-19 14:36:03,988 INFO [train.py:885] (1/2) Epoch 28, batch 9500, loss[loss=0.5114, simple_loss=0.5991, pruned_loss=0.2119, over 12469.00 frames. utt_duration=63.15 frames, utt_pad_proportion=0.1466, over 810.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3433, pruned_loss=0.09751, over 2775993.39 frames. utt_duration=245 frames, utt_pad_proportion=0.07183, over 45596.53 utterances.], batch size: 810, lr: 1.67e-04
+2022-09-19 14:36:32,954 INFO [train.py:885] (1/2) Epoch 28, batch 9550, loss[loss=0.1664, simple_loss=0.2437, pruned_loss=0.04456, over 13980.00 frames. utt_duration=709.3 frames, utt_pad_proportion=0.06182, over 79.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3416, pruned_loss=0.09743, over 2780023.63 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06944, over 44111.00 utterances.], batch size: 79, lr: 1.67e-04
+2022-09-19 14:37:03,124 INFO [train.py:885] (1/2) Epoch 28, batch 9600, loss[loss=0.1534, simple_loss=0.21, pruned_loss=0.04838, over 12461.00 frames. utt_duration=1995 frames, utt_pad_proportion=0.1621, over 25.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3421, pruned_loss=0.09778, over 2768100.10 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07343, over 45251.46 utterances.], batch size: 25, lr: 1.67e-04
+2022-09-19 14:37:32,208 INFO [train.py:885] (1/2) Epoch 28, batch 9650, loss[loss=0.2393, simple_loss=0.3083, pruned_loss=0.08514, over 14346.00 frames. utt_duration=479.6 frames, utt_pad_proportion=0.03693, over 120.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3421, pruned_loss=0.09778, over 2769025.32 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07359, over 45164.63 utterances.], batch size: 120, lr: 1.67e-04
+2022-09-19 14:38:02,168 INFO [train.py:885] (1/2) Epoch 28, batch 9700, loss[loss=0.1764, simple_loss=0.2546, pruned_loss=0.04906, over 13543.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08878, over 50.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3416, pruned_loss=0.09734, over 2770526.86 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07226, over 45305.45 utterances.], batch size: 50, lr: 1.67e-04
+2022-09-19 14:38:32,141 INFO [train.py:885] (1/2) Epoch 28, batch 9750, loss[loss=0.3037, simple_loss=0.4074, pruned_loss=0.09993, over 13605.00 frames. utt_duration=98.67 frames, utt_pad_proportion=0.07782, over 560.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3435, pruned_loss=0.09814, over 2773194.98 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07179, over 46242.20 utterances.], batch size: 560, lr: 1.67e-04
+2022-09-19 14:39:01,298 INFO [train.py:885] (1/2) Epoch 28, batch 9800, loss[loss=0.3204, simple_loss=0.3825, pruned_loss=0.1291, over 14323.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03827, over 283.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3454, pruned_loss=0.09974, over 2774405.82 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07239, over 46039.42 utterances.], batch size: 283, lr: 1.67e-04
+2022-09-19 14:39:30,948 INFO [train.py:885] (1/2) Epoch 28, batch 9850, loss[loss=0.1837, simple_loss=0.2654, pruned_loss=0.05104, over 13564.00 frames. utt_duration=1293 frames, utt_pad_proportion=0.09434, over 42.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3493, pruned_loss=0.1014, over 2770284.17 frames. utt_duration=232.4 frames, utt_pad_proportion=0.0746, over 47990.38 utterances.], batch size: 42, lr: 1.67e-04
+2022-09-19 14:40:00,104 INFO [train.py:885] (1/2) Epoch 28, batch 9900, loss[loss=0.4636, simple_loss=0.5328, pruned_loss=0.1972, over 13609.00 frames. utt_duration=98.67 frames, utt_pad_proportion=0.07784, over 560.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3477, pruned_loss=0.1007, over 2770846.59 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07409, over 47550.90 utterances.], batch size: 560, lr: 1.67e-04
+2022-09-19 14:40:29,651 INFO [train.py:885] (1/2) Epoch 28, batch 9950, loss[loss=0.2559, simple_loss=0.3276, pruned_loss=0.09212, over 14291.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03882, over 180.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.3494, pruned_loss=0.1008, over 2770416.29 frames. utt_duration=231.3 frames, utt_pad_proportion=0.07505, over 48226.26 utterances.], batch size: 180, lr: 1.67e-04
+2022-09-19 14:40:58,911 INFO [train.py:885] (1/2) Epoch 28, batch 10000, loss[loss=0.2793, simple_loss=0.3721, pruned_loss=0.09324, over 13982.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05643, over 365.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3476, pruned_loss=0.1001, over 2772849.47 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07487, over 46804.60 utterances.], batch size: 365, lr: 1.67e-04
+2022-09-19 14:41:28,567 INFO [train.py:885] (1/2) Epoch 28, batch 10050, loss[loss=0.1604, simple_loss=0.2305, pruned_loss=0.04514, over 13786.00 frames. utt_duration=920.3 frames, utt_pad_proportion=0.07506, over 60.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3486, pruned_loss=0.1005, over 2777305.23 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07373, over 46955.33 utterances.], batch size: 60, lr: 1.67e-04
+2022-09-19 14:41:58,449 INFO [train.py:885] (1/2) Epoch 28, batch 10100, loss[loss=0.1551, simple_loss=0.2244, pruned_loss=0.0429, over 13352.00 frames. utt_duration=1273 frames, utt_pad_proportion=0.0907, over 42.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.351, pruned_loss=0.1012, over 2775682.63 frames. utt_duration=231.4 frames, utt_pad_proportion=0.07463, over 48285.93 utterances.], batch size: 42, lr: 1.67e-04
+2022-09-19 14:42:27,790 INFO [train.py:885] (1/2) Epoch 28, batch 10150, loss[loss=0.1587, simple_loss=0.1933, pruned_loss=0.06205, over 13032.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.1256, over 33.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3474, pruned_loss=0.1, over 2777552.31 frames. utt_duration=241 frames, utt_pad_proportion=0.073, over 46386.80 utterances.], batch size: 33, lr: 1.67e-04
+2022-09-19 14:42:57,275 INFO [train.py:885] (1/2) Epoch 28, batch 10200, loss[loss=0.234, simple_loss=0.3113, pruned_loss=0.07834, over 14202.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.04878, over 141.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3487, pruned_loss=0.1011, over 2785865.11 frames. utt_duration=244 frames, utt_pad_proportion=0.06916, over 45951.89 utterances.], batch size: 141, lr: 1.67e-04
+2022-09-19 14:43:27,122 INFO [train.py:885] (1/2) Epoch 28, batch 10250, loss[loss=0.2084, simple_loss=0.2899, pruned_loss=0.06343, over 14164.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.04535, over 109.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3487, pruned_loss=0.1013, over 2785609.84 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07108, over 45614.66 utterances.], batch size: 109, lr: 1.67e-04
+2022-09-19 14:43:57,059 INFO [train.py:885] (1/2) Epoch 28, batch 10300, loss[loss=0.2661, simple_loss=0.3084, pruned_loss=0.112, over 14035.00 frames. utt_duration=712 frames, utt_pad_proportion=0.05822, over 79.00 utterances.], tot_loss[loss=0.2788, simple_loss=0.3514, pruned_loss=0.1031, over 2784430.36 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07103, over 46158.21 utterances.], batch size: 79, lr: 1.67e-04
+2022-09-19 14:44:26,275 INFO [train.py:885] (1/2) Epoch 28, batch 10350, loss[loss=0.3323, simple_loss=0.3905, pruned_loss=0.1371, over 14195.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04535, over 306.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3483, pruned_loss=0.1012, over 2786280.61 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07054, over 45110.60 utterances.], batch size: 306, lr: 1.67e-04
+2022-09-19 14:44:55,748 INFO [train.py:885] (1/2) Epoch 28, batch 10400, loss[loss=0.3617, simple_loss=0.4502, pruned_loss=0.1366, over 13620.00 frames. utt_duration=98.73 frames, utt_pad_proportion=0.0773, over 560.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3471, pruned_loss=0.1002, over 2784071.56 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07088, over 45863.77 utterances.], batch size: 560, lr: 1.67e-04
+2022-09-19 14:45:24,862 INFO [train.py:885] (1/2) Epoch 28, batch 10450, loss[loss=0.2859, simple_loss=0.3582, pruned_loss=0.1068, over 14388.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03561, over 196.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.347, pruned_loss=0.0994, over 2776111.66 frames. utt_duration=241.5 frames, utt_pad_proportion=0.0737, over 46272.90 utterances.], batch size: 196, lr: 1.67e-04
+2022-09-19 14:45:54,848 INFO [train.py:885] (1/2) Epoch 28, batch 10500, loss[loss=0.2871, simple_loss=0.3609, pruned_loss=0.1067, over 14342.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03812, over 262.00 utterances.], tot_loss[loss=0.2776, simple_loss=0.3515, pruned_loss=0.1018, over 2776101.85 frames. utt_duration=230.2 frames, utt_pad_proportion=0.07406, over 48555.40 utterances.], batch size: 262, lr: 1.67e-04
+2022-09-19 14:46:24,181 INFO [train.py:885] (1/2) Epoch 28, batch 10550, loss[loss=0.2701, simple_loss=0.3482, pruned_loss=0.09603, over 14314.00 frames. utt_duration=319.4 frames, utt_pad_proportion=0.03792, over 180.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3484, pruned_loss=0.1013, over 2775090.21 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07414, over 46822.72 utterances.], batch size: 180, lr: 1.67e-04
+2022-09-19 14:46:53,487 INFO [train.py:885] (1/2) Epoch 28, batch 10600, loss[loss=0.2926, simple_loss=0.3698, pruned_loss=0.1077, over 14205.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04455, over 306.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.343, pruned_loss=0.09844, over 2778196.54 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07241, over 44838.06 utterances.], batch size: 306, lr: 1.67e-04
+2022-09-19 14:47:22,402 INFO [train.py:885] (1/2) Epoch 28, batch 10650, loss[loss=0.3302, simple_loss=0.3911, pruned_loss=0.1347, over 14329.00 frames. utt_duration=295.4 frames, utt_pad_proportion=0.03767, over 195.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3395, pruned_loss=0.09627, over 2777548.44 frames. utt_duration=256.6 frames, utt_pad_proportion=0.07137, over 43553.21 utterances.], batch size: 195, lr: 1.67e-04
+2022-09-19 14:47:52,124 INFO [train.py:885] (1/2) Epoch 28, batch 10700, loss[loss=0.2695, simple_loss=0.3503, pruned_loss=0.09438, over 14344.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03674, over 283.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3404, pruned_loss=0.09607, over 2781451.81 frames. utt_duration=254.6 frames, utt_pad_proportion=0.07038, over 43948.68 utterances.], batch size: 283, lr: 1.67e-04
+2022-09-19 14:48:21,512 INFO [train.py:885] (1/2) Epoch 28, batch 10750, loss[loss=0.3188, simple_loss=0.384, pruned_loss=0.1268, over 14341.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03697, over 283.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3425, pruned_loss=0.09712, over 2783174.61 frames. utt_duration=252.7 frames, utt_pad_proportion=0.06888, over 44319.64 utterances.], batch size: 283, lr: 1.67e-04
+2022-09-19 14:48:51,841 INFO [train.py:885] (1/2) Epoch 28, batch 10800, loss[loss=0.2879, simple_loss=0.3661, pruned_loss=0.1048, over 14271.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04104, over 225.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3451, pruned_loss=0.09897, over 2774839.11 frames. utt_duration=242 frames, utt_pad_proportion=0.07287, over 46151.87 utterances.], batch size: 225, lr: 1.67e-04
+2022-09-19 14:49:21,036 INFO [train.py:885] (1/2) Epoch 28, batch 10850, loss[loss=0.2401, simple_loss=0.3227, pruned_loss=0.07873, over 14306.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.04185, over 141.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3448, pruned_loss=0.09869, over 2780719.79 frames. utt_duration=246.9 frames, utt_pad_proportion=0.06976, over 45328.45 utterances.], batch size: 141, lr: 1.67e-04
+2022-09-19 14:49:50,199 INFO [train.py:885] (1/2) Epoch 28, batch 10900, loss[loss=0.1381, simple_loss=0.1998, pruned_loss=0.0382, over 13136.00 frames. utt_duration=1594 frames, utt_pad_proportion=0.1078, over 33.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3463, pruned_loss=0.09988, over 2781506.74 frames. utt_duration=246.8 frames, utt_pad_proportion=0.0695, over 45355.18 utterances.], batch size: 33, lr: 1.67e-04
+2022-09-19 14:50:19,678 INFO [train.py:885] (1/2) Epoch 28, batch 10950, loss[loss=0.1756, simple_loss=0.2404, pruned_loss=0.0554, over 13747.00 frames. utt_duration=917.8 frames, utt_pad_proportion=0.0692, over 60.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.345, pruned_loss=0.09906, over 2780913.36 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07044, over 44846.37 utterances.], batch size: 60, lr: 1.67e-04
+2022-09-19 14:50:48,873 INFO [train.py:885] (1/2) Epoch 28, batch 11000, loss[loss=0.3308, simple_loss=0.3985, pruned_loss=0.1315, over 14220.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04382, over 306.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3425, pruned_loss=0.09793, over 2782131.51 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06929, over 43800.52 utterances.], batch size: 306, lr: 1.67e-04
+2022-09-19 14:51:25,331 INFO [train.py:885] (1/2) Epoch 28, batch 11050, loss[loss=0.2583, simple_loss=0.3337, pruned_loss=0.09143, over 14260.00 frames. utt_duration=372 frames, utt_pad_proportion=0.0436, over 154.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3433, pruned_loss=0.09826, over 2784268.81 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06913, over 43873.53 utterances.], batch size: 154, lr: 1.67e-04
+2022-09-19 14:51:55,563 INFO [train.py:885] (1/2) Epoch 28, batch 11100, loss[loss=0.2825, simple_loss=0.3449, pruned_loss=0.11, over 14337.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.03586, over 130.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3432, pruned_loss=0.09795, over 2783889.92 frames. utt_duration=255.5 frames, utt_pad_proportion=0.06986, over 43840.66 utterances.], batch size: 130, lr: 1.67e-04
+2022-09-19 14:52:25,014 INFO [train.py:885] (1/2) Epoch 28, batch 11150, loss[loss=0.2238, simple_loss=0.2948, pruned_loss=0.07638, over 14121.00 frames. utt_duration=577.9 frames, utt_pad_proportion=0.05107, over 98.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3391, pruned_loss=0.09594, over 2780199.06 frames. utt_duration=259.9 frames, utt_pad_proportion=0.06971, over 43025.44 utterances.], batch size: 98, lr: 1.67e-04
+2022-09-19 14:53:01,743 INFO [train.py:885] (1/2) Epoch 28, batch 11200, loss[loss=0.3437, simple_loss=0.3867, pruned_loss=0.1503, over 14328.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.03834, over 120.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3427, pruned_loss=0.09808, over 2780436.99 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06985, over 43858.53 utterances.], batch size: 120, lr: 1.67e-04
+2022-09-19 14:53:31,422 INFO [train.py:885] (1/2) Epoch 28, batch 11250, loss[loss=0.276, simple_loss=0.3569, pruned_loss=0.09761, over 14294.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04055, over 262.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3419, pruned_loss=0.09773, over 2781688.20 frames. utt_duration=256.2 frames, utt_pad_proportion=0.06883, over 43689.23 utterances.], batch size: 262, lr: 1.67e-04
+2022-09-19 14:54:01,822 INFO [train.py:885] (1/2) Epoch 28, batch 11300, loss[loss=0.2733, simple_loss=0.355, pruned_loss=0.09584, over 14362.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03518, over 195.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3416, pruned_loss=0.09751, over 2777666.50 frames. utt_duration=254.6 frames, utt_pad_proportion=0.07016, over 43889.30 utterances.], batch size: 195, lr: 1.67e-04
+2022-09-19 14:54:31,378 INFO [train.py:885] (1/2) Epoch 28, batch 11350, loss[loss=0.1745, simple_loss=0.2496, pruned_loss=0.04971, over 13763.00 frames. utt_duration=919.2 frames, utt_pad_proportion=0.0762, over 60.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3444, pruned_loss=0.09871, over 2780535.74 frames. utt_duration=247.4 frames, utt_pad_proportion=0.0688, over 45219.66 utterances.], batch size: 60, lr: 1.67e-04
+2022-09-19 14:55:01,599 INFO [train.py:885] (1/2) Epoch 28, batch 11400, loss[loss=0.2441, simple_loss=0.3366, pruned_loss=0.07584, over 14373.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03447, over 210.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3464, pruned_loss=0.09898, over 2776416.34 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07006, over 46743.11 utterances.], batch size: 210, lr: 1.66e-04
+2022-09-19 14:55:31,574 INFO [train.py:885] (1/2) Epoch 28, batch 11450, loss[loss=0.2128, simple_loss=0.2664, pruned_loss=0.07956, over 13930.00 frames. utt_duration=809 frames, utt_pad_proportion=0.05816, over 69.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3499, pruned_loss=0.1009, over 2772735.03 frames. utt_duration=232 frames, utt_pad_proportion=0.0749, over 48106.08 utterances.], batch size: 69, lr: 1.66e-04
+2022-09-19 14:56:01,263 INFO [train.py:885] (1/2) Epoch 28, batch 11500, loss[loss=0.3491, simple_loss=0.4389, pruned_loss=0.1297, over 13615.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08221, over 477.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3495, pruned_loss=0.1013, over 2773111.62 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07532, over 47763.83 utterances.], batch size: 477, lr: 1.66e-04
+2022-09-19 14:56:30,536 INFO [train.py:885] (1/2) Epoch 28, batch 11550, loss[loss=0.3025, simple_loss=0.4059, pruned_loss=0.0995, over 13664.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07873, over 477.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3493, pruned_loss=0.1006, over 2770636.81 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07578, over 47993.94 utterances.], batch size: 477, lr: 1.66e-04
+2022-09-19 14:56:59,906 INFO [train.py:885] (1/2) Epoch 28, batch 11600, loss[loss=0.1507, simple_loss=0.1991, pruned_loss=0.05116, over 13039.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.1244, over 33.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3445, pruned_loss=0.0989, over 2772410.83 frames. utt_duration=246.6 frames, utt_pad_proportion=0.0733, over 45246.48 utterances.], batch size: 33, lr: 1.66e-04
+2022-09-19 14:57:29,368 INFO [train.py:885] (1/2) Epoch 28, batch 11650, loss[loss=0.3249, simple_loss=0.3974, pruned_loss=0.1262, over 14235.00 frames. utt_duration=187.8 frames, utt_pad_proportion=0.042, over 306.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3453, pruned_loss=0.09955, over 2775788.91 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07295, over 45346.08 utterances.], batch size: 306, lr: 1.66e-04
+2022-09-19 14:57:58,520 INFO [train.py:885] (1/2) Epoch 28, batch 11700, loss[loss=0.251, simple_loss=0.3412, pruned_loss=0.08043, over 14299.00 frames. utt_duration=319 frames, utt_pad_proportion=0.03907, over 180.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3475, pruned_loss=0.09972, over 2781447.07 frames. utt_duration=238.8 frames, utt_pad_proportion=0.0719, over 46885.03 utterances.], batch size: 180, lr: 1.66e-04
+2022-09-19 14:58:28,012 INFO [train.py:885] (1/2) Epoch 28, batch 11750, loss[loss=0.2587, simple_loss=0.3443, pruned_loss=0.08658, over 14353.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03622, over 226.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3455, pruned_loss=0.09903, over 2787697.67 frames. utt_duration=248.9 frames, utt_pad_proportion=0.0688, over 45067.58 utterances.], batch size: 226, lr: 1.66e-04
+2022-09-19 14:58:57,439 INFO [train.py:885] (1/2) Epoch 28, batch 11800, loss[loss=0.3021, simple_loss=0.3693, pruned_loss=0.1174, over 14291.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.03903, over 154.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3473, pruned_loss=0.09963, over 2782536.62 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07107, over 45946.50 utterances.], batch size: 154, lr: 1.66e-04
+2022-09-19 14:59:27,534 INFO [train.py:885] (1/2) Epoch 28, batch 11850, loss[loss=0.2135, simple_loss=0.2878, pruned_loss=0.06964, over 14195.00 frames. utt_duration=639.5 frames, utt_pad_proportion=0.04699, over 89.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3458, pruned_loss=0.09862, over 2780519.50 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07203, over 46084.04 utterances.], batch size: 89, lr: 1.66e-04
+2022-09-19 14:59:57,738 INFO [train.py:885] (1/2) Epoch 28, batch 11900, loss[loss=0.354, simple_loss=0.435, pruned_loss=0.1366, over 13699.00 frames. utt_duration=116.3 frames, utt_pad_proportion=0.07687, over 477.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3497, pruned_loss=0.1008, over 2781482.40 frames. utt_duration=236 frames, utt_pad_proportion=0.07156, over 47440.47 utterances.], batch size: 477, lr: 1.66e-04
+2022-09-19 15:00:26,813 INFO [train.py:885] (1/2) Epoch 28, batch 11950, loss[loss=0.1787, simple_loss=0.2415, pruned_loss=0.05793, over 13647.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.0811, over 42.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3477, pruned_loss=0.0999, over 2782041.00 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07115, over 45922.59 utterances.], batch size: 42, lr: 1.66e-04
+2022-09-19 15:00:56,555 INFO [train.py:885] (1/2) Epoch 28, batch 12000, loss[loss=0.317, simple_loss=0.412, pruned_loss=0.111, over 13565.00 frames. utt_duration=115.3 frames, utt_pad_proportion=0.08462, over 477.00 utterances.], tot_loss[loss=0.2787, simple_loss=0.3525, pruned_loss=0.1025, over 2780751.83 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07338, over 47847.80 utterances.], batch size: 477, lr: 1.66e-04
+2022-09-19 15:00:56,556 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 15:01:00,713 INFO [train.py:914] (1/2) Epoch 28, validation: loss=0.1993, simple_loss=0.2782, pruned_loss=0.06023, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 15:01:30,014 INFO [train.py:885] (1/2) Epoch 28, batch 12050, loss[loss=0.1615, simple_loss=0.2182, pruned_loss=0.05243, over 13236.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1089, over 33.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3447, pruned_loss=0.09836, over 2775865.47 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07322, over 45631.68 utterances.], batch size: 33, lr: 1.66e-04
+2022-09-19 15:01:59,437 INFO [train.py:885] (1/2) Epoch 28, batch 12100, loss[loss=0.2823, simple_loss=0.3616, pruned_loss=0.1015, over 14317.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03904, over 283.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3472, pruned_loss=0.09954, over 2781459.32 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07055, over 46169.61 utterances.], batch size: 283, lr: 1.66e-04
+2022-09-19 15:02:28,470 INFO [train.py:885] (1/2) Epoch 28, batch 12150, loss[loss=0.3819, simple_loss=0.4277, pruned_loss=0.1681, over 14336.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03713, over 210.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3482, pruned_loss=0.1011, over 2778359.56 frames. utt_duration=243.7 frames, utt_pad_proportion=0.0727, over 45871.63 utterances.], batch size: 210, lr: 1.66e-04
+2022-09-19 15:02:58,379 INFO [train.py:885] (1/2) Epoch 28, batch 12200, loss[loss=0.3599, simple_loss=0.4123, pruned_loss=0.1538, over 14332.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03754, over 210.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3483, pruned_loss=0.1008, over 2781533.63 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07055, over 45961.61 utterances.], batch size: 210, lr: 1.66e-04
+2022-09-19 15:03:27,781 INFO [train.py:885] (1/2) Epoch 28, batch 12250, loss[loss=0.2381, simple_loss=0.3216, pruned_loss=0.07724, over 14303.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04078, over 154.00 utterances.], tot_loss[loss=0.2786, simple_loss=0.3521, pruned_loss=0.1025, over 2782418.51 frames. utt_duration=236 frames, utt_pad_proportion=0.07255, over 47448.23 utterances.], batch size: 154, lr: 1.66e-04
+2022-09-19 15:03:57,151 INFO [train.py:885] (1/2) Epoch 28, batch 12300, loss[loss=0.2544, simple_loss=0.3379, pruned_loss=0.08541, over 14303.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04032, over 262.00 utterances.], tot_loss[loss=0.2796, simple_loss=0.3536, pruned_loss=0.1028, over 2785336.90 frames. utt_duration=234 frames, utt_pad_proportion=0.07016, over 47916.95 utterances.], batch size: 262, lr: 1.66e-04
+2022-09-19 15:04:26,288 INFO [train.py:885] (1/2) Epoch 28, batch 12350, loss[loss=0.2619, simple_loss=0.3501, pruned_loss=0.08687, over 14321.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03865, over 262.00 utterances.], tot_loss[loss=0.276, simple_loss=0.35, pruned_loss=0.101, over 2785167.33 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07055, over 47343.57 utterances.], batch size: 262, lr: 1.66e-04
+2022-09-19 15:04:55,203 INFO [train.py:885] (1/2) Epoch 28, batch 12400, loss[loss=0.2014, simple_loss=0.2629, pruned_loss=0.07001, over 13681.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08542, over 42.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3464, pruned_loss=0.09903, over 2783095.00 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07045, over 46080.06 utterances.], batch size: 42, lr: 1.66e-04
+2022-09-19 15:05:25,207 INFO [train.py:885] (1/2) Epoch 28, batch 12450, loss[loss=0.2543, simple_loss=0.3217, pruned_loss=0.09349, over 14304.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03759, over 130.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3477, pruned_loss=0.1003, over 2780005.41 frames. utt_duration=241 frames, utt_pad_proportion=0.07223, over 46425.62 utterances.], batch size: 130, lr: 1.66e-04
+2022-09-19 15:06:00,783 INFO [train.py:885] (1/2) Epoch 28, batch 12500, loss[loss=0.2036, simple_loss=0.2624, pruned_loss=0.07247, over 14094.00 frames. utt_duration=715.2 frames, utt_pad_proportion=0.05393, over 79.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3464, pruned_loss=0.09936, over 2784097.19 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07135, over 45517.80 utterances.], batch size: 79, lr: 1.66e-04
+2022-09-19 15:06:31,293 INFO [train.py:885] (1/2) Epoch 28, batch 12550, loss[loss=0.2963, simple_loss=0.3958, pruned_loss=0.09838, over 13801.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06988, over 411.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3442, pruned_loss=0.09845, over 2782137.80 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07048, over 44894.28 utterances.], batch size: 411, lr: 1.66e-04
+2022-09-19 15:06:58,581 INFO [train.py:885] (1/2) Epoch 28, batch 12600, loss[loss=0.2106, simple_loss=0.2895, pruned_loss=0.06589, over 13736.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.0817, over 42.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.346, pruned_loss=0.09958, over 2783203.02 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07055, over 45239.47 utterances.], batch size: 42, lr: 1.66e-04
+2022-09-19 15:07:16,684 INFO [train.py:885] (1/2) Epoch 29, batch 0, loss[loss=0.207, simple_loss=0.2848, pruned_loss=0.06457, over 13775.00 frames. utt_duration=799.9 frames, utt_pad_proportion=0.06767, over 69.00 utterances.], tot_loss[loss=0.207, simple_loss=0.2848, pruned_loss=0.06457, over 13775.00 frames. utt_duration=799.9 frames, utt_pad_proportion=0.06767, over 69.00 utterances.], batch size: 69, lr: 1.63e-04
+2022-09-19 15:07:46,203 INFO [train.py:885] (1/2) Epoch 29, batch 50, loss[loss=0.5431, simple_loss=0.6238, pruned_loss=0.2312, over 12407.00 frames. utt_duration=62.85 frames, utt_pad_proportion=0.1506, over 810.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3441, pruned_loss=0.09805, over 627179.66 frames. utt_duration=238.6 frames, utt_pad_proportion=0.0804, over 10577.92 utterances.], batch size: 810, lr: 1.63e-04
+2022-09-19 15:08:15,429 INFO [train.py:885] (1/2) Epoch 29, batch 100, loss[loss=0.1638, simple_loss=0.2277, pruned_loss=0.04998, over 13563.00 frames. utt_duration=1086 frames, utt_pad_proportion=0.08856, over 50.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3445, pruned_loss=0.09699, over 1109501.25 frames. utt_duration=245.8 frames, utt_pad_proportion=0.06858, over 18163.55 utterances.], batch size: 50, lr: 1.63e-04
+2022-09-19 15:08:44,213 INFO [train.py:885] (1/2) Epoch 29, batch 150, loss[loss=0.2558, simple_loss=0.3413, pruned_loss=0.08509, over 14349.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03763, over 244.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3397, pruned_loss=0.09599, over 1480597.16 frames. utt_duration=261.7 frames, utt_pad_proportion=0.06711, over 22759.81 utterances.], batch size: 244, lr: 1.63e-04
+2022-09-19 15:09:15,024 INFO [train.py:885] (1/2) Epoch 29, batch 200, loss[loss=0.167, simple_loss=0.2349, pruned_loss=0.04958, over 12375.00 frames. utt_duration=2064 frames, utt_pad_proportion=0.1718, over 24.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3416, pruned_loss=0.09676, over 1757739.08 frames. utt_duration=249.2 frames, utt_pad_proportion=0.07275, over 28378.70 utterances.], batch size: 24, lr: 1.63e-04
+2022-09-19 15:09:44,760 INFO [train.py:885] (1/2) Epoch 29, batch 250, loss[loss=0.2902, simple_loss=0.4008, pruned_loss=0.08984, over 13632.00 frames. utt_duration=98.82 frames, utt_pad_proportion=0.07644, over 560.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3498, pruned_loss=0.1002, over 1984250.40 frames. utt_duration=229.7 frames, utt_pad_proportion=0.07183, over 34774.17 utterances.], batch size: 560, lr: 1.63e-04
+2022-09-19 15:10:14,250 INFO [train.py:885] (1/2) Epoch 29, batch 300, loss[loss=0.1637, simple_loss=0.2339, pruned_loss=0.04674, over 12228.00 frames. utt_duration=2039 frames, utt_pad_proportion=0.1511, over 24.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3487, pruned_loss=0.09975, over 2160038.34 frames. utt_duration=233 frames, utt_pad_proportion=0.07138, over 37321.18 utterances.], batch size: 24, lr: 1.63e-04
+2022-09-19 15:10:43,586 INFO [train.py:885] (1/2) Epoch 29, batch 350, loss[loss=0.1944, simple_loss=0.2601, pruned_loss=0.06439, over 13902.00 frames. utt_duration=807.4 frames, utt_pad_proportion=0.06001, over 69.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3396, pruned_loss=0.09613, over 2294047.30 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0691, over 36161.09 utterances.], batch size: 69, lr: 1.63e-04
+2022-09-19 15:11:13,706 INFO [train.py:885] (1/2) Epoch 29, batch 400, loss[loss=0.3009, simple_loss=0.3706, pruned_loss=0.1156, over 14392.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03088, over 244.00 utterances.], tot_loss[loss=0.269, simple_loss=0.343, pruned_loss=0.09755, over 2404503.49 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06869, over 38823.14 utterances.], batch size: 244, lr: 1.63e-04
+2022-09-19 15:11:43,305 INFO [train.py:885] (1/2) Epoch 29, batch 450, loss[loss=0.2389, simple_loss=0.3104, pruned_loss=0.08377, over 14174.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04543, over 89.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3394, pruned_loss=0.09587, over 2484607.92 frames. utt_duration=256.8 frames, utt_pad_proportion=0.0686, over 38926.31 utterances.], batch size: 89, lr: 1.63e-04
+2022-09-19 15:12:12,623 INFO [train.py:885] (1/2) Epoch 29, batch 500, loss[loss=0.3002, simple_loss=0.3981, pruned_loss=0.1011, over 13762.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07219, over 411.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.341, pruned_loss=0.09638, over 2553354.09 frames. utt_duration=253.5 frames, utt_pad_proportion=0.0666, over 40525.80 utterances.], batch size: 411, lr: 1.63e-04
+2022-09-19 15:12:41,956 INFO [train.py:885] (1/2) Epoch 29, batch 550, loss[loss=0.1983, simple_loss=0.2833, pruned_loss=0.05671, over 14295.00 frames. utt_duration=644.1 frames, utt_pad_proportion=0.04148, over 89.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3411, pruned_loss=0.0964, over 2605150.41 frames. utt_duration=256.8 frames, utt_pad_proportion=0.06654, over 40814.79 utterances.], batch size: 89, lr: 1.63e-04
+2022-09-19 15:13:11,544 INFO [train.py:885] (1/2) Epoch 29, batch 600, loss[loss=0.3732, simple_loss=0.4214, pruned_loss=0.1625, over 14301.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.03987, over 283.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3455, pruned_loss=0.09769, over 2643765.54 frames. utt_duration=242 frames, utt_pad_proportion=0.06987, over 43960.00 utterances.], batch size: 283, lr: 1.63e-04
+2022-09-19 15:13:40,753 INFO [train.py:885] (1/2) Epoch 29, batch 650, loss[loss=0.1566, simple_loss=0.2133, pruned_loss=0.04994, over 13143.00 frames. utt_duration=1595 frames, utt_pad_proportion=0.118, over 33.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3426, pruned_loss=0.09684, over 2676906.82 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06739, over 42538.97 utterances.], batch size: 33, lr: 1.63e-04
+2022-09-19 15:14:11,258 INFO [train.py:885] (1/2) Epoch 29, batch 700, loss[loss=0.254, simple_loss=0.3401, pruned_loss=0.08394, over 14261.00 frames. utt_duration=318.3 frames, utt_pad_proportion=0.04127, over 180.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3461, pruned_loss=0.09766, over 2697743.04 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07103, over 45595.75 utterances.], batch size: 180, lr: 1.63e-04
+2022-09-19 15:14:40,389 INFO [train.py:885] (1/2) Epoch 29, batch 750, loss[loss=0.3504, simple_loss=0.3975, pruned_loss=0.1517, over 14286.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04118, over 262.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3442, pruned_loss=0.098, over 2713961.44 frames. utt_duration=245.9 frames, utt_pad_proportion=0.0712, over 44418.90 utterances.], batch size: 262, lr: 1.63e-04
+2022-09-19 15:15:10,765 INFO [train.py:885] (1/2) Epoch 29, batch 800, loss[loss=0.4505, simple_loss=0.5594, pruned_loss=0.1708, over 12452.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1478, over 810.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3463, pruned_loss=0.09851, over 2725586.06 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07384, over 45878.81 utterances.], batch size: 810, lr: 1.63e-04
+2022-09-19 15:15:40,304 INFO [train.py:885] (1/2) Epoch 29, batch 850, loss[loss=0.2705, simple_loss=0.3535, pruned_loss=0.09371, over 14296.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03869, over 180.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3479, pruned_loss=0.1003, over 2741910.43 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07084, over 46120.72 utterances.], batch size: 180, lr: 1.63e-04
+2022-09-19 15:16:09,922 INFO [train.py:885] (1/2) Epoch 29, batch 900, loss[loss=0.4852, simple_loss=0.5637, pruned_loss=0.2033, over 13136.00 frames. utt_duration=81.99 frames, utt_pad_proportion=0.1088, over 653.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3481, pruned_loss=0.1001, over 2752688.37 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07165, over 45999.73 utterances.], batch size: 653, lr: 1.63e-04
+2022-09-19 15:16:39,121 INFO [train.py:885] (1/2) Epoch 29, batch 950, loss[loss=0.2195, simple_loss=0.2916, pruned_loss=0.07365, over 14265.00 frames. utt_duration=440.4 frames, utt_pad_proportion=0.04046, over 130.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3485, pruned_loss=0.1002, over 2760977.26 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07134, over 46089.55 utterances.], batch size: 130, lr: 1.63e-04
+2022-09-19 15:17:08,550 INFO [train.py:885] (1/2) Epoch 29, batch 1000, loss[loss=0.379, simple_loss=0.4255, pruned_loss=0.1663, over 14220.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0434, over 306.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.349, pruned_loss=0.101, over 2765726.86 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07159, over 45826.68 utterances.], batch size: 306, lr: 1.63e-04
+2022-09-19 15:17:37,626 INFO [train.py:885] (1/2) Epoch 29, batch 1050, loss[loss=0.2772, simple_loss=0.3567, pruned_loss=0.0988, over 14283.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03979, over 180.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.349, pruned_loss=0.1006, over 2770941.17 frames. utt_duration=243 frames, utt_pad_proportion=0.07061, over 45884.17 utterances.], batch size: 180, lr: 1.63e-04
+2022-09-19 15:18:07,285 INFO [train.py:885] (1/2) Epoch 29, batch 1100, loss[loss=0.2942, simple_loss=0.3685, pruned_loss=0.1099, over 14325.00 frames. utt_duration=236.3 frames, utt_pad_proportion=0.0357, over 244.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3489, pruned_loss=0.1015, over 2767088.85 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07219, over 45886.20 utterances.], batch size: 244, lr: 1.63e-04
+2022-09-19 15:18:36,415 INFO [train.py:885] (1/2) Epoch 29, batch 1150, loss[loss=0.2092, simple_loss=0.2808, pruned_loss=0.06887, over 13966.00 frames. utt_duration=708.6 frames, utt_pad_proportion=0.06274, over 79.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3463, pruned_loss=0.09996, over 2771799.08 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07027, over 44686.97 utterances.], batch size: 79, lr: 1.63e-04
+2022-09-19 15:19:06,007 INFO [train.py:885] (1/2) Epoch 29, batch 1200, loss[loss=0.2624, simple_loss=0.3464, pruned_loss=0.08926, over 14365.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03527, over 210.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3456, pruned_loss=0.09949, over 2772451.18 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06962, over 44853.34 utterances.], batch size: 210, lr: 1.63e-04
+2022-09-19 15:19:35,362 INFO [train.py:885] (1/2) Epoch 29, batch 1250, loss[loss=0.2071, simple_loss=0.2715, pruned_loss=0.07131, over 13237.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1112, over 33.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3454, pruned_loss=0.09986, over 2771337.12 frames. utt_duration=248.9 frames, utt_pad_proportion=0.06956, over 44806.19 utterances.], batch size: 33, lr: 1.63e-04
+2022-09-19 15:20:04,634 INFO [train.py:885] (1/2) Epoch 29, batch 1300, loss[loss=0.3123, simple_loss=0.3868, pruned_loss=0.1189, over 14324.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03779, over 283.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.343, pruned_loss=0.09894, over 2769910.51 frames. utt_duration=254.6 frames, utt_pad_proportion=0.06823, over 43771.22 utterances.], batch size: 283, lr: 1.63e-04
+2022-09-19 15:20:34,366 INFO [train.py:885] (1/2) Epoch 29, batch 1350, loss[loss=0.1891, simple_loss=0.2706, pruned_loss=0.05378, over 14124.00 frames. utt_duration=578.1 frames, utt_pad_proportion=0.0508, over 98.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.341, pruned_loss=0.0976, over 2771443.19 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06925, over 43261.44 utterances.], batch size: 98, lr: 1.63e-04
+2022-09-19 15:21:04,411 INFO [train.py:885] (1/2) Epoch 29, batch 1400, loss[loss=0.1681, simple_loss=0.2294, pruned_loss=0.05342, over 12232.00 frames. utt_duration=2040 frames, utt_pad_proportion=0.1738, over 24.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.344, pruned_loss=0.09866, over 2769348.30 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07064, over 45068.55 utterances.], batch size: 24, lr: 1.63e-04
+2022-09-19 15:21:41,464 INFO [train.py:885] (1/2) Epoch 29, batch 1450, loss[loss=0.5201, simple_loss=0.5991, pruned_loss=0.2205, over 12517.00 frames. utt_duration=63.39 frames, utt_pad_proportion=0.1434, over 810.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3431, pruned_loss=0.09761, over 2770908.16 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07166, over 45217.06 utterances.], batch size: 810, lr: 1.63e-04
+2022-09-19 15:22:10,921 INFO [train.py:885] (1/2) Epoch 29, batch 1500, loss[loss=0.2276, simple_loss=0.3088, pruned_loss=0.07321, over 14234.00 frames. utt_duration=641.2 frames, utt_pad_proportion=0.04436, over 89.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3464, pruned_loss=0.09919, over 2777405.60 frames. utt_duration=240.8 frames, utt_pad_proportion=0.0709, over 46426.46 utterances.], batch size: 89, lr: 1.63e-04
+2022-09-19 15:22:41,021 INFO [train.py:885] (1/2) Epoch 29, batch 1550, loss[loss=0.2824, simple_loss=0.363, pruned_loss=0.1009, over 14371.00 frames. utt_duration=275.2 frames, utt_pad_proportion=0.03445, over 210.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.349, pruned_loss=0.1006, over 2771558.53 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07439, over 47842.87 utterances.], batch size: 210, lr: 1.63e-04
+2022-09-19 15:23:10,171 INFO [train.py:885] (1/2) Epoch 29, batch 1600, loss[loss=0.2331, simple_loss=0.3016, pruned_loss=0.08227, over 14170.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.04498, over 109.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3459, pruned_loss=0.09898, over 2778295.56 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07159, over 46315.13 utterances.], batch size: 109, lr: 1.63e-04
+2022-09-19 15:23:39,302 INFO [train.py:885] (1/2) Epoch 29, batch 1650, loss[loss=0.2232, simple_loss=0.3062, pruned_loss=0.07006, over 14264.00 frames. utt_duration=440.2 frames, utt_pad_proportion=0.04089, over 130.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3438, pruned_loss=0.09819, over 2775703.83 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07177, over 45338.36 utterances.], batch size: 130, lr: 1.63e-04
+2022-09-19 15:24:09,013 INFO [train.py:885] (1/2) Epoch 29, batch 1700, loss[loss=0.1738, simple_loss=0.2332, pruned_loss=0.05725, over 12666.00 frames. utt_duration=2028 frames, utt_pad_proportion=0.1341, over 25.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3451, pruned_loss=0.0982, over 2776012.17 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07198, over 45846.28 utterances.], batch size: 25, lr: 1.63e-04
+2022-09-19 15:24:39,158 INFO [train.py:885] (1/2) Epoch 29, batch 1750, loss[loss=0.1377, simple_loss=0.1948, pruned_loss=0.04033, over 12417.00 frames. utt_duration=2071 frames, utt_pad_proportion=0.1578, over 24.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3452, pruned_loss=0.09799, over 2773757.88 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07362, over 46771.54 utterances.], batch size: 24, lr: 1.63e-04
+2022-09-19 15:25:08,195 INFO [train.py:885] (1/2) Epoch 29, batch 1800, loss[loss=0.2733, simple_loss=0.3568, pruned_loss=0.09488, over 14365.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03511, over 195.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3455, pruned_loss=0.09775, over 2775075.86 frames. utt_duration=235.7 frames, utt_pad_proportion=0.07351, over 47387.56 utterances.], batch size: 195, lr: 1.63e-04
+2022-09-19 15:25:37,962 INFO [train.py:885] (1/2) Epoch 29, batch 1850, loss[loss=0.3656, simple_loss=0.4507, pruned_loss=0.1403, over 13653.00 frames. utt_duration=116 frames, utt_pad_proportion=0.0793, over 477.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3446, pruned_loss=0.09654, over 2775235.54 frames. utt_duration=234 frames, utt_pad_proportion=0.07511, over 47732.51 utterances.], batch size: 477, lr: 1.63e-04
+2022-09-19 15:26:07,087 INFO [train.py:885] (1/2) Epoch 29, batch 1900, loss[loss=0.2562, simple_loss=0.3479, pruned_loss=0.08228, over 14351.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.0362, over 226.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.343, pruned_loss=0.09599, over 2781154.76 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07146, over 46585.20 utterances.], batch size: 226, lr: 1.63e-04
+2022-09-19 15:26:37,225 INFO [train.py:885] (1/2) Epoch 29, batch 1950, loss[loss=0.2757, simple_loss=0.3551, pruned_loss=0.09813, over 14325.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03822, over 283.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3448, pruned_loss=0.09786, over 2783716.58 frames. utt_duration=241 frames, utt_pad_proportion=0.07093, over 46494.77 utterances.], batch size: 283, lr: 1.63e-04
+2022-09-19 15:27:06,583 INFO [train.py:885] (1/2) Epoch 29, batch 2000, loss[loss=0.16, simple_loss=0.2224, pruned_loss=0.04878, over 12421.00 frames. utt_duration=2072 frames, utt_pad_proportion=0.1471, over 24.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3418, pruned_loss=0.09627, over 2780957.62 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07065, over 45316.05 utterances.], batch size: 24, lr: 1.63e-04
+2022-09-19 15:27:36,184 INFO [train.py:885] (1/2) Epoch 29, batch 2050, loss[loss=0.2885, simple_loss=0.3631, pruned_loss=0.1069, over 14340.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03647, over 210.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3393, pruned_loss=0.09538, over 2782045.82 frames. utt_duration=253.6 frames, utt_pad_proportion=0.07016, over 44141.64 utterances.], batch size: 210, lr: 1.63e-04
+2022-09-19 15:28:05,109 INFO [train.py:885] (1/2) Epoch 29, batch 2100, loss[loss=0.1821, simple_loss=0.2589, pruned_loss=0.0527, over 13031.00 frames. utt_duration=1581 frames, utt_pad_proportion=0.12, over 33.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3427, pruned_loss=0.09686, over 2779492.16 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07249, over 45814.72 utterances.], batch size: 33, lr: 1.63e-04
+2022-09-19 15:28:35,207 INFO [train.py:885] (1/2) Epoch 29, batch 2150, loss[loss=0.2115, simple_loss=0.2817, pruned_loss=0.0707, over 14163.00 frames. utt_duration=579.5 frames, utt_pad_proportion=0.04842, over 98.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3412, pruned_loss=0.09619, over 2778421.11 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07198, over 44844.92 utterances.], batch size: 98, lr: 1.63e-04
+2022-09-19 15:29:04,055 INFO [train.py:885] (1/2) Epoch 29, batch 2200, loss[loss=0.3691, simple_loss=0.4471, pruned_loss=0.1456, over 13753.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07268, over 411.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3392, pruned_loss=0.09517, over 2778626.25 frames. utt_duration=256.3 frames, utt_pad_proportion=0.0705, over 43617.39 utterances.], batch size: 411, lr: 1.63e-04
+2022-09-19 15:29:34,019 INFO [train.py:885] (1/2) Epoch 29, batch 2250, loss[loss=0.342, simple_loss=0.4122, pruned_loss=0.1359, over 14336.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03807, over 283.00 utterances.], tot_loss[loss=0.2645, simple_loss=0.3394, pruned_loss=0.09479, over 2774766.15 frames. utt_duration=251.5 frames, utt_pad_proportion=0.07218, over 44394.72 utterances.], batch size: 283, lr: 1.63e-04
+2022-09-19 15:30:03,239 INFO [train.py:885] (1/2) Epoch 29, batch 2300, loss[loss=0.2366, simple_loss=0.3185, pruned_loss=0.07738, over 14329.00 frames. utt_duration=373.8 frames, utt_pad_proportion=0.03898, over 154.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3424, pruned_loss=0.09614, over 2776822.50 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07261, over 45379.11 utterances.], batch size: 154, lr: 1.63e-04
+2022-09-19 15:30:32,803 INFO [train.py:885] (1/2) Epoch 29, batch 2350, loss[loss=0.2605, simple_loss=0.3287, pruned_loss=0.09613, over 14322.00 frames. utt_duration=442 frames, utt_pad_proportion=0.03916, over 130.00 utterances.], tot_loss[loss=0.2651, simple_loss=0.3404, pruned_loss=0.09487, over 2777895.01 frames. utt_duration=248.6 frames, utt_pad_proportion=0.0719, over 44967.31 utterances.], batch size: 130, lr: 1.63e-04
+2022-09-19 15:31:01,906 INFO [train.py:885] (1/2) Epoch 29, batch 2400, loss[loss=0.2448, simple_loss=0.3266, pruned_loss=0.08157, over 14254.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04302, over 141.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3404, pruned_loss=0.09528, over 2781695.10 frames. utt_duration=248.4 frames, utt_pad_proportion=0.0709, over 45054.06 utterances.], batch size: 141, lr: 1.63e-04
+2022-09-19 15:31:31,987 INFO [train.py:885] (1/2) Epoch 29, batch 2450, loss[loss=0.2839, simple_loss=0.3589, pruned_loss=0.1044, over 14303.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03972, over 283.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.341, pruned_loss=0.09546, over 2778132.31 frames. utt_duration=247 frames, utt_pad_proportion=0.07199, over 45262.18 utterances.], batch size: 283, lr: 1.63e-04
+2022-09-19 15:32:01,213 INFO [train.py:885] (1/2) Epoch 29, batch 2500, loss[loss=0.1968, simple_loss=0.2663, pruned_loss=0.06369, over 12854.00 frames. utt_duration=1979 frames, utt_pad_proportion=0.1403, over 26.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3409, pruned_loss=0.09572, over 2778181.41 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07287, over 45025.81 utterances.], batch size: 26, lr: 1.63e-04
+2022-09-19 15:32:31,098 INFO [train.py:885] (1/2) Epoch 29, batch 2550, loss[loss=0.3099, simple_loss=0.3837, pruned_loss=0.118, over 14329.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03825, over 283.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3439, pruned_loss=0.09625, over 2779908.03 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07174, over 46387.87 utterances.], batch size: 283, lr: 1.63e-04
+2022-09-19 15:33:01,691 INFO [train.py:885] (1/2) Epoch 29, batch 2600, loss[loss=0.2067, simple_loss=0.2728, pruned_loss=0.07031, over 13168.00 frames. utt_duration=2027 frames, utt_pad_proportion=0.1038, over 26.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3435, pruned_loss=0.09649, over 2774911.61 frames. utt_duration=241 frames, utt_pad_proportion=0.07347, over 46340.79 utterances.], batch size: 26, lr: 1.63e-04
+2022-09-19 15:33:31,640 INFO [train.py:885] (1/2) Epoch 29, batch 2650, loss[loss=0.3329, simple_loss=0.3966, pruned_loss=0.1346, over 14191.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04575, over 306.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.344, pruned_loss=0.09664, over 2778845.60 frames. utt_duration=242 frames, utt_pad_proportion=0.07176, over 46204.44 utterances.], batch size: 306, lr: 1.63e-04
+2022-09-19 15:34:00,448 INFO [train.py:885] (1/2) Epoch 29, batch 2700, loss[loss=0.6086, simple_loss=0.6611, pruned_loss=0.2781, over 12446.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1478, over 810.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3421, pruned_loss=0.09611, over 2779916.17 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07205, over 44785.07 utterances.], batch size: 810, lr: 1.63e-04
+2022-09-19 15:34:30,082 INFO [train.py:885] (1/2) Epoch 29, batch 2750, loss[loss=0.2899, simple_loss=0.3641, pruned_loss=0.1079, over 14348.00 frames. utt_duration=236.7 frames, utt_pad_proportion=0.03399, over 244.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3436, pruned_loss=0.09689, over 2782603.63 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07123, over 45305.66 utterances.], batch size: 244, lr: 1.63e-04
+2022-09-19 15:34:59,969 INFO [train.py:885] (1/2) Epoch 29, batch 2800, loss[loss=0.3534, simple_loss=0.4417, pruned_loss=0.1325, over 13687.00 frames. utt_duration=99.04 frames, utt_pad_proportion=0.07442, over 561.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3469, pruned_loss=0.09811, over 2783266.49 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07303, over 47258.74 utterances.], batch size: 561, lr: 1.63e-04
+2022-09-19 15:35:28,834 INFO [train.py:885] (1/2) Epoch 29, batch 2850, loss[loss=0.2566, simple_loss=0.3157, pruned_loss=0.0987, over 14104.00 frames. utt_duration=577.1 frames, utt_pad_proportion=0.05238, over 98.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3404, pruned_loss=0.09503, over 2781246.53 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07075, over 44425.12 utterances.], batch size: 98, lr: 1.63e-04
+2022-09-19 15:35:58,237 INFO [train.py:885] (1/2) Epoch 29, batch 2900, loss[loss=0.1409, simple_loss=0.2103, pruned_loss=0.0358, over 13372.00 frames. utt_duration=1622 frames, utt_pad_proportion=0.09171, over 33.00 utterances.], tot_loss[loss=0.2611, simple_loss=0.3353, pruned_loss=0.09339, over 2780400.11 frames. utt_duration=265.5 frames, utt_pad_proportion=0.07048, over 42121.72 utterances.], batch size: 33, lr: 1.63e-04
+2022-09-19 15:36:27,269 INFO [train.py:885] (1/2) Epoch 29, batch 2950, loss[loss=0.119, simple_loss=0.1893, pruned_loss=0.02434, over 13346.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08968, over 41.00 utterances.], tot_loss[loss=0.2637, simple_loss=0.3375, pruned_loss=0.0949, over 2782604.30 frames. utt_duration=261.6 frames, utt_pad_proportion=0.06964, over 42790.61 utterances.], batch size: 41, lr: 1.63e-04
+2022-09-19 15:36:57,365 INFO [train.py:885] (1/2) Epoch 29, batch 3000, loss[loss=0.4761, simple_loss=0.5706, pruned_loss=0.1907, over 12480.00 frames. utt_duration=63.11 frames, utt_pad_proportion=0.1472, over 811.00 utterances.], tot_loss[loss=0.2647, simple_loss=0.338, pruned_loss=0.09572, over 2780926.00 frames. utt_duration=258.3 frames, utt_pad_proportion=0.07088, over 43312.08 utterances.], batch size: 811, lr: 1.63e-04
+2022-09-19 15:36:57,366 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 15:37:01,543 INFO [train.py:914] (1/2) Epoch 29, validation: loss=0.1944, simple_loss=0.2747, pruned_loss=0.05709, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 15:37:31,033 INFO [train.py:885] (1/2) Epoch 29, batch 3050, loss[loss=0.2823, simple_loss=0.3616, pruned_loss=0.1015, over 14249.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04211, over 225.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3424, pruned_loss=0.09756, over 2783021.96 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07023, over 44859.83 utterances.], batch size: 225, lr: 1.63e-04
+2022-09-19 15:38:00,913 INFO [train.py:885] (1/2) Epoch 29, batch 3100, loss[loss=0.3287, simple_loss=0.3986, pruned_loss=0.1294, over 14198.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04475, over 306.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3477, pruned_loss=0.09994, over 2780670.96 frames. utt_duration=237 frames, utt_pad_proportion=0.07333, over 47226.02 utterances.], batch size: 306, lr: 1.63e-04
+2022-09-19 15:38:30,961 INFO [train.py:885] (1/2) Epoch 29, batch 3150, loss[loss=0.3961, simple_loss=0.4813, pruned_loss=0.1554, over 13127.00 frames. utt_duration=81.92 frames, utt_pad_proportion=0.1095, over 653.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3498, pruned_loss=0.1009, over 2774815.23 frames. utt_duration=228.8 frames, utt_pad_proportion=0.07547, over 48826.04 utterances.], batch size: 653, lr: 1.63e-04
+2022-09-19 15:39:01,159 INFO [train.py:885] (1/2) Epoch 29, batch 3200, loss[loss=0.148, simple_loss=0.2058, pruned_loss=0.04515, over 13153.00 frames. utt_duration=1596 frames, utt_pad_proportion=0.1099, over 33.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3444, pruned_loss=0.09814, over 2777332.46 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07293, over 46477.16 utterances.], batch size: 33, lr: 1.63e-04
+2022-09-19 15:39:29,891 INFO [train.py:885] (1/2) Epoch 29, batch 3250, loss[loss=0.1847, simple_loss=0.2624, pruned_loss=0.05354, over 13977.00 frames. utt_duration=709.1 frames, utt_pad_proportion=0.06202, over 79.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3449, pruned_loss=0.09875, over 2782168.96 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07059, over 46224.36 utterances.], batch size: 79, lr: 1.63e-04
+2022-09-19 15:39:59,492 INFO [train.py:885] (1/2) Epoch 29, batch 3300, loss[loss=0.3794, simple_loss=0.4206, pruned_loss=0.1691, over 14205.00 frames. utt_duration=170.9 frames, utt_pad_proportion=0.04523, over 335.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3472, pruned_loss=0.1, over 2779623.11 frames. utt_duration=236 frames, utt_pad_proportion=0.07244, over 47408.82 utterances.], batch size: 335, lr: 1.63e-04
+2022-09-19 15:40:28,975 INFO [train.py:885] (1/2) Epoch 29, batch 3350, loss[loss=0.2882, simple_loss=0.3872, pruned_loss=0.09459, over 13835.00 frames. utt_duration=136.1 frames, utt_pad_proportion=0.06793, over 411.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3451, pruned_loss=0.09855, over 2780432.09 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07098, over 46315.02 utterances.], batch size: 411, lr: 1.63e-04
+2022-09-19 15:40:58,314 INFO [train.py:885] (1/2) Epoch 29, batch 3400, loss[loss=0.3879, simple_loss=0.4605, pruned_loss=0.1577, over 13631.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.0809, over 477.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3483, pruned_loss=0.1002, over 2778037.37 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07166, over 47747.74 utterances.], batch size: 477, lr: 1.63e-04
+2022-09-19 15:41:27,615 INFO [train.py:885] (1/2) Epoch 29, batch 3450, loss[loss=0.1474, simple_loss=0.2102, pruned_loss=0.04231, over 13231.00 frames. utt_duration=1605 frames, utt_pad_proportion=0.1106, over 33.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3477, pruned_loss=0.09967, over 2777342.60 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07266, over 47700.62 utterances.], batch size: 33, lr: 1.63e-04
+2022-09-19 15:41:57,366 INFO [train.py:885] (1/2) Epoch 29, batch 3500, loss[loss=0.2125, simple_loss=0.2711, pruned_loss=0.07699, over 13964.00 frames. utt_duration=810.9 frames, utt_pad_proportion=0.05486, over 69.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3476, pruned_loss=0.09975, over 2776029.13 frames. utt_duration=233.8 frames, utt_pad_proportion=0.0732, over 47787.62 utterances.], batch size: 69, lr: 1.63e-04
+2022-09-19 15:42:27,101 INFO [train.py:885] (1/2) Epoch 29, batch 3550, loss[loss=0.2238, simple_loss=0.2959, pruned_loss=0.0758, over 13686.00 frames. utt_duration=913.9 frames, utt_pad_proportion=0.08248, over 60.00 utterances.], tot_loss[loss=0.2759, simple_loss=0.3501, pruned_loss=0.1009, over 2773491.14 frames. utt_duration=227.7 frames, utt_pad_proportion=0.07497, over 49047.84 utterances.], batch size: 60, lr: 1.63e-04
+2022-09-19 15:42:56,539 INFO [train.py:885] (1/2) Epoch 29, batch 3600, loss[loss=0.3699, simple_loss=0.4151, pruned_loss=0.1624, over 14197.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.0451, over 306.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3492, pruned_loss=0.1016, over 2777017.91 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07321, over 47499.17 utterances.], batch size: 306, lr: 1.63e-04
+2022-09-19 15:43:25,640 INFO [train.py:885] (1/2) Epoch 29, batch 3650, loss[loss=0.3049, simple_loss=0.3765, pruned_loss=0.1166, over 14323.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04053, over 167.00 utterances.], tot_loss[loss=0.2756, simple_loss=0.349, pruned_loss=0.1011, over 2778141.92 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07282, over 47619.42 utterances.], batch size: 167, lr: 1.63e-04
+2022-09-19 15:43:55,411 INFO [train.py:885] (1/2) Epoch 29, batch 3700, loss[loss=0.3186, simple_loss=0.378, pruned_loss=0.1296, over 14289.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.0387, over 130.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3448, pruned_loss=0.09876, over 2776434.51 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07192, over 46333.77 utterances.], batch size: 130, lr: 1.62e-04
+2022-09-19 15:44:24,970 INFO [train.py:885] (1/2) Epoch 29, batch 3750, loss[loss=0.4794, simple_loss=0.5761, pruned_loss=0.1914, over 12407.00 frames. utt_duration=62.88 frames, utt_pad_proportion=0.1503, over 810.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3452, pruned_loss=0.099, over 2775090.87 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07269, over 46598.64 utterances.], batch size: 810, lr: 1.62e-04
+2022-09-19 15:44:55,066 INFO [train.py:885] (1/2) Epoch 29, batch 3800, loss[loss=0.1983, simple_loss=0.283, pruned_loss=0.05681, over 13290.00 frames. utt_duration=1612 frames, utt_pad_proportion=0.1023, over 33.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3461, pruned_loss=0.0994, over 2775731.01 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07283, over 46594.09 utterances.], batch size: 33, lr: 1.62e-04
+2022-09-19 15:45:24,197 INFO [train.py:885] (1/2) Epoch 29, batch 3850, loss[loss=0.2661, simple_loss=0.3482, pruned_loss=0.092, over 14403.00 frames. utt_duration=237.6 frames, utt_pad_proportion=0.03021, over 244.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3423, pruned_loss=0.09809, over 2777421.08 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07102, over 44762.36 utterances.], batch size: 244, lr: 1.62e-04
+2022-09-19 15:45:53,861 INFO [train.py:885] (1/2) Epoch 29, batch 3900, loss[loss=0.2591, simple_loss=0.3295, pruned_loss=0.09435, over 14316.00 frames. utt_duration=407.5 frames, utt_pad_proportion=0.04118, over 141.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3445, pruned_loss=0.09855, over 2775261.25 frames. utt_duration=241.7 frames, utt_pad_proportion=0.0739, over 46211.22 utterances.], batch size: 141, lr: 1.62e-04
+2022-09-19 15:46:23,629 INFO [train.py:885] (1/2) Epoch 29, batch 3950, loss[loss=0.2639, simple_loss=0.3753, pruned_loss=0.07619, over 13674.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07222, over 478.00 utterances.], tot_loss[loss=0.2738, simple_loss=0.3475, pruned_loss=0.1001, over 2775241.53 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07459, over 47578.31 utterances.], batch size: 478, lr: 1.62e-04
+2022-09-19 15:46:52,515 INFO [train.py:885] (1/2) Epoch 29, batch 4000, loss[loss=0.1455, simple_loss=0.2218, pruned_loss=0.03454, over 13200.00 frames. utt_duration=1601 frames, utt_pad_proportion=0.1142, over 33.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3479, pruned_loss=0.1003, over 2768759.36 frames. utt_duration=230.9 frames, utt_pad_proportion=0.07577, over 48281.67 utterances.], batch size: 33, lr: 1.62e-04
+2022-09-19 15:47:22,093 INFO [train.py:885] (1/2) Epoch 29, batch 4050, loss[loss=0.2874, simple_loss=0.3876, pruned_loss=0.0936, over 13762.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07189, over 411.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.3493, pruned_loss=0.1006, over 2772606.19 frames. utt_duration=229.4 frames, utt_pad_proportion=0.07662, over 48658.04 utterances.], batch size: 411, lr: 1.62e-04
+2022-09-19 15:47:51,347 INFO [train.py:885] (1/2) Epoch 29, batch 4100, loss[loss=0.3434, simple_loss=0.4402, pruned_loss=0.1233, over 13608.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08223, over 477.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3477, pruned_loss=0.09981, over 2777701.50 frames. utt_duration=236.5 frames, utt_pad_proportion=0.07519, over 47280.69 utterances.], batch size: 477, lr: 1.62e-04
+2022-09-19 15:48:20,891 INFO [train.py:885] (1/2) Epoch 29, batch 4150, loss[loss=0.3043, simple_loss=0.3719, pruned_loss=0.1183, over 14351.00 frames. utt_duration=345.2 frames, utt_pad_proportion=0.03841, over 167.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3439, pruned_loss=0.09797, over 2776871.78 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07477, over 45372.57 utterances.], batch size: 167, lr: 1.62e-04
+2022-09-19 15:48:50,080 INFO [train.py:885] (1/2) Epoch 29, batch 4200, loss[loss=0.2597, simple_loss=0.3482, pruned_loss=0.08554, over 14347.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03579, over 210.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3435, pruned_loss=0.0967, over 2778973.02 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07185, over 45506.61 utterances.], batch size: 210, lr: 1.62e-04
+2022-09-19 15:49:19,714 INFO [train.py:885] (1/2) Epoch 29, batch 4250, loss[loss=0.3691, simple_loss=0.4475, pruned_loss=0.1453, over 13645.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.07998, over 477.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3444, pruned_loss=0.09806, over 2778271.17 frames. utt_duration=245.6 frames, utt_pad_proportion=0.0725, over 45530.33 utterances.], batch size: 477, lr: 1.62e-04
+2022-09-19 15:49:49,169 INFO [train.py:885] (1/2) Epoch 29, batch 4300, loss[loss=0.1989, simple_loss=0.2599, pruned_loss=0.069, over 13472.00 frames. utt_duration=1079 frames, utt_pad_proportion=0.09369, over 50.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3444, pruned_loss=0.09874, over 2775853.83 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07332, over 45653.74 utterances.], batch size: 50, lr: 1.62e-04
+2022-09-19 15:50:18,911 INFO [train.py:885] (1/2) Epoch 29, batch 4350, loss[loss=0.2835, simple_loss=0.3574, pruned_loss=0.1049, over 14354.00 frames. utt_duration=296 frames, utt_pad_proportion=0.03593, over 195.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3466, pruned_loss=0.09981, over 2776497.83 frames. utt_duration=240.9 frames, utt_pad_proportion=0.0727, over 46383.75 utterances.], batch size: 195, lr: 1.62e-04
+2022-09-19 15:50:48,109 INFO [train.py:885] (1/2) Epoch 29, batch 4400, loss[loss=0.3953, simple_loss=0.4832, pruned_loss=0.1537, over 13169.00 frames. utt_duration=82.19 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3471, pruned_loss=0.09983, over 2778582.35 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07276, over 46931.89 utterances.], batch size: 653, lr: 1.62e-04
+2022-09-19 15:51:17,353 INFO [train.py:885] (1/2) Epoch 29, batch 4450, loss[loss=0.2775, simple_loss=0.341, pruned_loss=0.107, over 14181.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.04468, over 109.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3436, pruned_loss=0.09835, over 2781553.99 frames. utt_duration=250.7 frames, utt_pad_proportion=0.07013, over 44643.38 utterances.], batch size: 109, lr: 1.62e-04
+2022-09-19 15:51:46,728 INFO [train.py:885] (1/2) Epoch 29, batch 4500, loss[loss=0.298, simple_loss=0.3702, pruned_loss=0.1129, over 14365.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03302, over 244.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3451, pruned_loss=0.09853, over 2775062.08 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07302, over 45903.33 utterances.], batch size: 244, lr: 1.62e-04
+2022-09-19 15:52:16,475 INFO [train.py:885] (1/2) Epoch 29, batch 4550, loss[loss=0.131, simple_loss=0.1861, pruned_loss=0.0379, over 12993.00 frames. utt_duration=1576 frames, utt_pad_proportion=0.1193, over 33.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3459, pruned_loss=0.09805, over 2776502.80 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07278, over 46579.98 utterances.], batch size: 33, lr: 1.62e-04
+2022-09-19 15:52:46,073 INFO [train.py:885] (1/2) Epoch 29, batch 4600, loss[loss=0.3012, simple_loss=0.3723, pruned_loss=0.115, over 14349.00 frames. utt_duration=204.3 frames, utt_pad_proportion=0.03612, over 283.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3448, pruned_loss=0.098, over 2779939.12 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07171, over 46128.68 utterances.], batch size: 283, lr: 1.62e-04
+2022-09-19 15:53:15,840 INFO [train.py:885] (1/2) Epoch 29, batch 4650, loss[loss=0.4651, simple_loss=0.5554, pruned_loss=0.1874, over 12521.00 frames. utt_duration=63.35 frames, utt_pad_proportion=0.1439, over 810.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3455, pruned_loss=0.09854, over 2778126.08 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07388, over 46380.46 utterances.], batch size: 810, lr: 1.62e-04
+2022-09-19 15:53:45,614 INFO [train.py:885] (1/2) Epoch 29, batch 4700, loss[loss=0.2, simple_loss=0.2664, pruned_loss=0.0668, over 13850.00 frames. utt_duration=804.3 frames, utt_pad_proportion=0.06263, over 69.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3433, pruned_loss=0.09701, over 2778081.65 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07361, over 45498.54 utterances.], batch size: 69, lr: 1.62e-04
+2022-09-19 15:54:15,846 INFO [train.py:885] (1/2) Epoch 29, batch 4750, loss[loss=0.3086, simple_loss=0.3744, pruned_loss=0.1213, over 14194.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04535, over 306.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3458, pruned_loss=0.09743, over 2777556.21 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07315, over 47122.53 utterances.], batch size: 306, lr: 1.62e-04
+2022-09-19 15:54:44,324 INFO [train.py:885] (1/2) Epoch 29, batch 4800, loss[loss=0.2957, simple_loss=0.3714, pruned_loss=0.11, over 14312.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03975, over 262.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.349, pruned_loss=0.09898, over 2782945.55 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07191, over 48019.35 utterances.], batch size: 262, lr: 1.62e-04
+2022-09-19 15:55:14,071 INFO [train.py:885] (1/2) Epoch 29, batch 4850, loss[loss=0.3125, simple_loss=0.404, pruned_loss=0.1105, over 13806.00 frames. utt_duration=135.8 frames, utt_pad_proportion=0.06953, over 411.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3493, pruned_loss=0.09892, over 2786660.49 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07096, over 48265.97 utterances.], batch size: 411, lr: 1.62e-04
+2022-09-19 15:55:43,206 INFO [train.py:885] (1/2) Epoch 29, batch 4900, loss[loss=0.3467, simple_loss=0.3982, pruned_loss=0.1476, over 14315.00 frames. utt_duration=373.5 frames, utt_pad_proportion=0.03993, over 154.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.3512, pruned_loss=0.1005, over 2785822.65 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07066, over 48301.79 utterances.], batch size: 154, lr: 1.62e-04
+2022-09-19 15:56:12,841 INFO [train.py:885] (1/2) Epoch 29, batch 4950, loss[loss=0.607, simple_loss=0.6493, pruned_loss=0.2823, over 12485.00 frames. utt_duration=63.25 frames, utt_pad_proportion=0.1453, over 810.00 utterances.], tot_loss[loss=0.2762, simple_loss=0.3502, pruned_loss=0.1011, over 2781679.82 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07259, over 47622.05 utterances.], batch size: 810, lr: 1.62e-04
+2022-09-19 15:56:42,022 INFO [train.py:885] (1/2) Epoch 29, batch 5000, loss[loss=0.148, simple_loss=0.222, pruned_loss=0.03693, over 13243.00 frames. utt_duration=1606 frames, utt_pad_proportion=0.1041, over 33.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3466, pruned_loss=0.09953, over 2778126.90 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07342, over 46312.74 utterances.], batch size: 33, lr: 1.62e-04
+2022-09-19 15:57:11,228 INFO [train.py:885] (1/2) Epoch 29, batch 5050, loss[loss=0.2596, simple_loss=0.3205, pruned_loss=0.09939, over 14176.00 frames. utt_duration=521.6 frames, utt_pad_proportion=0.04464, over 109.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3417, pruned_loss=0.09711, over 2780361.45 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07175, over 44409.35 utterances.], batch size: 109, lr: 1.62e-04
+2022-09-19 15:57:40,792 INFO [train.py:885] (1/2) Epoch 29, batch 5100, loss[loss=0.2573, simple_loss=0.3207, pruned_loss=0.09689, over 14328.00 frames. utt_duration=479 frames, utt_pad_proportion=0.03809, over 120.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3434, pruned_loss=0.09763, over 2784226.55 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07174, over 45233.02 utterances.], batch size: 120, lr: 1.62e-04
+2022-09-19 15:58:10,454 INFO [train.py:885] (1/2) Epoch 29, batch 5150, loss[loss=0.3549, simple_loss=0.4047, pruned_loss=0.1525, over 14338.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03722, over 283.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3447, pruned_loss=0.09875, over 2784125.50 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07192, over 45631.36 utterances.], batch size: 283, lr: 1.62e-04
+2022-09-19 15:58:40,418 INFO [train.py:885] (1/2) Epoch 29, batch 5200, loss[loss=0.2987, simple_loss=0.4069, pruned_loss=0.09526, over 13687.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07742, over 477.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3466, pruned_loss=0.09968, over 2777712.44 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07431, over 47119.24 utterances.], batch size: 477, lr: 1.62e-04
+2022-09-19 15:59:10,013 INFO [train.py:885] (1/2) Epoch 29, batch 5250, loss[loss=0.4622, simple_loss=0.5628, pruned_loss=0.1808, over 12520.00 frames. utt_duration=63.31 frames, utt_pad_proportion=0.1445, over 810.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3459, pruned_loss=0.09913, over 2778593.85 frames. utt_duration=236 frames, utt_pad_proportion=0.07417, over 47400.35 utterances.], batch size: 810, lr: 1.62e-04
+2022-09-19 15:59:39,185 INFO [train.py:885] (1/2) Epoch 29, batch 5300, loss[loss=0.1701, simple_loss=0.2218, pruned_loss=0.05925, over 12067.00 frames. utt_duration=2013 frames, utt_pad_proportion=0.169, over 24.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3453, pruned_loss=0.09935, over 2779612.45 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07387, over 46115.36 utterances.], batch size: 24, lr: 1.62e-04
+2022-09-19 16:00:08,969 INFO [train.py:885] (1/2) Epoch 29, batch 5350, loss[loss=0.261, simple_loss=0.3414, pruned_loss=0.09027, over 14342.00 frames. utt_duration=274.7 frames, utt_pad_proportion=0.03617, over 210.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.346, pruned_loss=0.09954, over 2779571.30 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07328, over 47168.14 utterances.], batch size: 210, lr: 1.62e-04
+2022-09-19 16:00:38,970 INFO [train.py:885] (1/2) Epoch 29, batch 5400, loss[loss=0.1618, simple_loss=0.2529, pruned_loss=0.03533, over 13587.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08157, over 50.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3468, pruned_loss=0.09919, over 2777591.83 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07347, over 47964.73 utterances.], batch size: 50, lr: 1.62e-04
+2022-09-19 16:01:07,780 INFO [train.py:885] (1/2) Epoch 29, batch 5450, loss[loss=0.3402, simple_loss=0.4341, pruned_loss=0.1232, over 13610.00 frames. utt_duration=98.64 frames, utt_pad_proportion=0.07812, over 560.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3452, pruned_loss=0.09873, over 2780863.38 frames. utt_duration=238.8 frames, utt_pad_proportion=0.07083, over 46874.61 utterances.], batch size: 560, lr: 1.62e-04
+2022-09-19 16:01:37,517 INFO [train.py:885] (1/2) Epoch 29, batch 5500, loss[loss=0.2345, simple_loss=0.3011, pruned_loss=0.08392, over 14257.00 frames. utt_duration=476.6 frames, utt_pad_proportion=0.04292, over 120.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3469, pruned_loss=0.09965, over 2783061.08 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07091, over 46628.17 utterances.], batch size: 120, lr: 1.62e-04
+2022-09-19 16:02:07,300 INFO [train.py:885] (1/2) Epoch 29, batch 5550, loss[loss=0.1541, simple_loss=0.2135, pruned_loss=0.04734, over 13601.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08202, over 50.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3471, pruned_loss=0.09975, over 2782170.65 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07051, over 47032.77 utterances.], batch size: 50, lr: 1.62e-04
+2022-09-19 16:02:36,616 INFO [train.py:885] (1/2) Epoch 29, batch 5600, loss[loss=0.225, simple_loss=0.2976, pruned_loss=0.0762, over 14328.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03993, over 120.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3437, pruned_loss=0.09785, over 2780500.77 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07128, over 45819.90 utterances.], batch size: 120, lr: 1.62e-04
+2022-09-19 16:03:05,800 INFO [train.py:885] (1/2) Epoch 29, batch 5650, loss[loss=0.2863, simple_loss=0.3607, pruned_loss=0.106, over 14304.00 frames. utt_duration=220 frames, utt_pad_proportion=0.03952, over 262.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3454, pruned_loss=0.09819, over 2779268.50 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07303, over 46970.37 utterances.], batch size: 262, lr: 1.62e-04
+2022-09-19 16:03:35,610 INFO [train.py:885] (1/2) Epoch 29, batch 5700, loss[loss=0.2838, simple_loss=0.376, pruned_loss=0.0958, over 13986.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.0573, over 365.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3457, pruned_loss=0.09845, over 2779665.23 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07356, over 46530.41 utterances.], batch size: 365, lr: 1.62e-04
+2022-09-19 16:04:04,839 INFO [train.py:885] (1/2) Epoch 29, batch 5750, loss[loss=0.3144, simple_loss=0.3834, pruned_loss=0.1227, over 14257.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04162, over 225.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3464, pruned_loss=0.09888, over 2780500.83 frames. utt_duration=238.4 frames, utt_pad_proportion=0.0735, over 46948.71 utterances.], batch size: 225, lr: 1.62e-04
+2022-09-19 16:04:34,493 INFO [train.py:885] (1/2) Epoch 29, batch 5800, loss[loss=0.2526, simple_loss=0.3196, pruned_loss=0.09282, over 14328.00 frames. utt_duration=479.1 frames, utt_pad_proportion=0.03595, over 120.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3439, pruned_loss=0.09822, over 2784660.19 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07086, over 45194.58 utterances.], batch size: 120, lr: 1.62e-04
+2022-09-19 16:05:03,353 INFO [train.py:885] (1/2) Epoch 29, batch 5850, loss[loss=0.2888, simple_loss=0.3811, pruned_loss=0.09828, over 14009.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05571, over 365.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3448, pruned_loss=0.09891, over 2781484.43 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07313, over 45590.93 utterances.], batch size: 365, lr: 1.62e-04
+2022-09-19 16:05:40,055 INFO [train.py:885] (1/2) Epoch 29, batch 5900, loss[loss=0.2436, simple_loss=0.326, pruned_loss=0.08057, over 14316.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.0377, over 180.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3448, pruned_loss=0.09837, over 2784288.61 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07162, over 45526.36 utterances.], batch size: 180, lr: 1.62e-04
+2022-09-19 16:06:09,728 INFO [train.py:885] (1/2) Epoch 29, batch 5950, loss[loss=0.1876, simple_loss=0.2681, pruned_loss=0.05361, over 14038.00 frames. utt_duration=574.4 frames, utt_pad_proportion=0.05687, over 98.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3441, pruned_loss=0.09844, over 2782462.28 frames. utt_duration=248.8 frames, utt_pad_proportion=0.07207, over 45005.69 utterances.], batch size: 98, lr: 1.62e-04
+2022-09-19 16:06:38,732 INFO [train.py:885] (1/2) Epoch 29, batch 6000, loss[loss=0.3551, simple_loss=0.4331, pruned_loss=0.1385, over 13812.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06911, over 411.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3452, pruned_loss=0.09952, over 2779888.10 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07073, over 45251.69 utterances.], batch size: 411, lr: 1.62e-04
+2022-09-19 16:06:38,734 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 16:06:42,917 INFO [train.py:914] (1/2) Epoch 29, validation: loss=0.1954, simple_loss=0.2753, pruned_loss=0.0577, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 16:07:12,709 INFO [train.py:885] (1/2) Epoch 29, batch 6050, loss[loss=0.2274, simple_loss=0.316, pruned_loss=0.06937, over 14352.00 frames. utt_duration=345.1 frames, utt_pad_proportion=0.03863, over 167.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3456, pruned_loss=0.0996, over 2780832.78 frames. utt_duration=245.5 frames, utt_pad_proportion=0.06987, over 45572.96 utterances.], batch size: 167, lr: 1.62e-04
+2022-09-19 16:07:41,865 INFO [train.py:885] (1/2) Epoch 29, batch 6100, loss[loss=0.3276, simple_loss=0.3938, pruned_loss=0.1306, over 14243.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04211, over 335.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3455, pruned_loss=0.09856, over 2782204.63 frames. utt_duration=242 frames, utt_pad_proportion=0.07182, over 46272.29 utterances.], batch size: 335, lr: 1.62e-04
+2022-09-19 16:08:11,368 INFO [train.py:885] (1/2) Epoch 29, batch 6150, loss[loss=0.1608, simple_loss=0.2086, pruned_loss=0.05647, over 13530.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08909, over 50.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3434, pruned_loss=0.09758, over 2780275.10 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07194, over 45600.79 utterances.], batch size: 50, lr: 1.62e-04
+2022-09-19 16:08:41,010 INFO [train.py:885] (1/2) Epoch 29, batch 6200, loss[loss=0.1582, simple_loss=0.2231, pruned_loss=0.04665, over 12870.00 frames. utt_duration=1562 frames, utt_pad_proportion=0.1359, over 33.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3454, pruned_loss=0.0979, over 2779481.76 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07372, over 46720.21 utterances.], batch size: 33, lr: 1.62e-04
+2022-09-19 16:09:10,499 INFO [train.py:885] (1/2) Epoch 29, batch 6250, loss[loss=0.3872, simple_loss=0.4855, pruned_loss=0.1444, over 13194.00 frames. utt_duration=82.38 frames, utt_pad_proportion=0.1046, over 653.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3465, pruned_loss=0.09873, over 2779963.59 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07296, over 46260.15 utterances.], batch size: 653, lr: 1.62e-04
+2022-09-19 16:09:40,075 INFO [train.py:885] (1/2) Epoch 29, batch 6300, loss[loss=0.2353, simple_loss=0.3147, pruned_loss=0.07795, over 14325.00 frames. utt_duration=373.7 frames, utt_pad_proportion=0.03684, over 154.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3484, pruned_loss=0.09988, over 2778088.07 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07481, over 46756.97 utterances.], batch size: 154, lr: 1.62e-04
+2022-09-19 16:10:09,407 INFO [train.py:885] (1/2) Epoch 29, batch 6350, loss[loss=0.3555, simple_loss=0.4042, pruned_loss=0.1534, over 14404.00 frames. utt_duration=237.4 frames, utt_pad_proportion=0.03482, over 244.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.345, pruned_loss=0.09876, over 2777908.54 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07419, over 45529.67 utterances.], batch size: 244, lr: 1.62e-04
+2022-09-19 16:10:38,428 INFO [train.py:885] (1/2) Epoch 29, batch 6400, loss[loss=0.2347, simple_loss=0.3124, pruned_loss=0.07844, over 14321.00 frames. utt_duration=478.9 frames, utt_pad_proportion=0.0384, over 120.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3464, pruned_loss=0.1, over 2779740.72 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07415, over 45640.64 utterances.], batch size: 120, lr: 1.62e-04
+2022-09-19 16:11:08,614 INFO [train.py:885] (1/2) Epoch 29, batch 6450, loss[loss=0.1673, simple_loss=0.2401, pruned_loss=0.04725, over 12689.00 frames. utt_duration=2031 frames, utt_pad_proportion=0.1522, over 25.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3473, pruned_loss=0.1005, over 2781955.97 frames. utt_duration=242 frames, utt_pad_proportion=0.07271, over 46257.08 utterances.], batch size: 25, lr: 1.62e-04
+2022-09-19 16:11:38,486 INFO [train.py:885] (1/2) Epoch 29, batch 6500, loss[loss=0.3016, simple_loss=0.3985, pruned_loss=0.1024, over 13780.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07144, over 411.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3439, pruned_loss=0.09835, over 2780084.86 frames. utt_duration=245.7 frames, utt_pad_proportion=0.07153, over 45538.64 utterances.], batch size: 411, lr: 1.62e-04
+2022-09-19 16:12:07,767 INFO [train.py:885] (1/2) Epoch 29, batch 6550, loss[loss=0.3852, simple_loss=0.4199, pruned_loss=0.1752, over 14328.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03835, over 283.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3472, pruned_loss=0.09979, over 2783527.45 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07144, over 46496.96 utterances.], batch size: 283, lr: 1.62e-04
+2022-09-19 16:12:37,538 INFO [train.py:885] (1/2) Epoch 29, batch 6600, loss[loss=0.3207, simple_loss=0.3955, pruned_loss=0.1229, over 14214.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04425, over 306.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3449, pruned_loss=0.09826, over 2783502.03 frames. utt_duration=243.3 frames, utt_pad_proportion=0.07097, over 46043.03 utterances.], batch size: 306, lr: 1.62e-04
+2022-09-19 16:13:07,438 INFO [train.py:885] (1/2) Epoch 29, batch 6650, loss[loss=0.3595, simple_loss=0.4147, pruned_loss=0.1522, over 14196.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04502, over 306.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3447, pruned_loss=0.09786, over 2779880.32 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07221, over 46355.00 utterances.], batch size: 306, lr: 1.62e-04
+2022-09-19 16:13:37,173 INFO [train.py:885] (1/2) Epoch 29, batch 6700, loss[loss=0.3266, simple_loss=0.394, pruned_loss=0.1296, over 14208.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04395, over 306.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3437, pruned_loss=0.09707, over 2778275.33 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07285, over 46307.21 utterances.], batch size: 306, lr: 1.62e-04
+2022-09-19 16:14:06,371 INFO [train.py:885] (1/2) Epoch 29, batch 6750, loss[loss=0.2319, simple_loss=0.3066, pruned_loss=0.07855, over 14294.00 frames. utt_duration=477.9 frames, utt_pad_proportion=0.04036, over 120.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3404, pruned_loss=0.09537, over 2781912.16 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07187, over 44610.14 utterances.], batch size: 120, lr: 1.62e-04
+2022-09-19 16:14:36,231 INFO [train.py:885] (1/2) Epoch 29, batch 6800, loss[loss=0.3044, simple_loss=0.3959, pruned_loss=0.1065, over 13764.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07153, over 411.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3423, pruned_loss=0.09674, over 2779881.26 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07179, over 45299.17 utterances.], batch size: 411, lr: 1.62e-04
+2022-09-19 16:15:05,226 INFO [train.py:885] (1/2) Epoch 29, batch 6850, loss[loss=0.3554, simple_loss=0.4083, pruned_loss=0.1512, over 14350.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03576, over 210.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3426, pruned_loss=0.09705, over 2780972.97 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07128, over 45332.57 utterances.], batch size: 210, lr: 1.62e-04
+2022-09-19 16:15:34,982 INFO [train.py:885] (1/2) Epoch 29, batch 6900, loss[loss=0.2141, simple_loss=0.2798, pruned_loss=0.07413, over 13696.00 frames. utt_duration=795.5 frames, utt_pad_proportion=0.07388, over 69.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3427, pruned_loss=0.09764, over 2777920.28 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07355, over 45279.69 utterances.], batch size: 69, lr: 1.62e-04
+2022-09-19 16:16:04,107 INFO [train.py:885] (1/2) Epoch 29, batch 6950, loss[loss=0.5105, simple_loss=0.5766, pruned_loss=0.2222, over 13102.00 frames. utt_duration=81.76 frames, utt_pad_proportion=0.1113, over 653.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3426, pruned_loss=0.09841, over 2777875.54 frames. utt_duration=253 frames, utt_pad_proportion=0.07233, over 44173.83 utterances.], batch size: 653, lr: 1.62e-04
+2022-09-19 16:16:33,749 INFO [train.py:885] (1/2) Epoch 29, batch 7000, loss[loss=0.1853, simple_loss=0.2561, pruned_loss=0.05724, over 13866.00 frames. utt_duration=926 frames, utt_pad_proportion=0.06373, over 60.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3443, pruned_loss=0.09836, over 2773658.85 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07411, over 45859.91 utterances.], batch size: 60, lr: 1.62e-04
+2022-09-19 16:17:02,843 INFO [train.py:885] (1/2) Epoch 29, batch 7050, loss[loss=0.1809, simple_loss=0.2579, pruned_loss=0.052, over 13852.00 frames. utt_duration=925 frames, utt_pad_proportion=0.06851, over 60.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3451, pruned_loss=0.09836, over 2773956.21 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07534, over 46363.50 utterances.], batch size: 60, lr: 1.62e-04
+2022-09-19 16:17:33,007 INFO [train.py:885] (1/2) Epoch 29, batch 7100, loss[loss=0.262, simple_loss=0.3437, pruned_loss=0.09017, over 14361.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03811, over 167.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3443, pruned_loss=0.09718, over 2776903.36 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07489, over 46390.18 utterances.], batch size: 167, lr: 1.62e-04
+2022-09-19 16:18:02,592 INFO [train.py:885] (1/2) Epoch 29, batch 7150, loss[loss=0.2942, simple_loss=0.3719, pruned_loss=0.1082, over 14355.00 frames. utt_duration=274.8 frames, utt_pad_proportion=0.03587, over 210.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3462, pruned_loss=0.09832, over 2780034.48 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07376, over 46905.96 utterances.], batch size: 210, lr: 1.62e-04
+2022-09-19 16:18:32,110 INFO [train.py:885] (1/2) Epoch 29, batch 7200, loss[loss=0.3292, simple_loss=0.3978, pruned_loss=0.1303, over 14264.00 frames. utt_duration=187.9 frames, utt_pad_proportion=0.0412, over 306.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3441, pruned_loss=0.0974, over 2776762.80 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07436, over 46505.28 utterances.], batch size: 306, lr: 1.62e-04
+2022-09-19 16:19:01,756 INFO [train.py:885] (1/2) Epoch 29, batch 7250, loss[loss=0.212, simple_loss=0.2751, pruned_loss=0.07449, over 13986.00 frames. utt_duration=800.6 frames, utt_pad_proportion=0.06366, over 70.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3463, pruned_loss=0.09903, over 2775313.95 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07532, over 46820.63 utterances.], batch size: 70, lr: 1.62e-04
+2022-09-19 16:19:31,513 INFO [train.py:885] (1/2) Epoch 29, batch 7300, loss[loss=0.3069, simple_loss=0.4155, pruned_loss=0.09922, over 13625.00 frames. utt_duration=98.67 frames, utt_pad_proportion=0.07787, over 560.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3447, pruned_loss=0.0988, over 2776002.92 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07338, over 45934.09 utterances.], batch size: 560, lr: 1.62e-04
+2022-09-19 16:20:01,352 INFO [train.py:885] (1/2) Epoch 29, batch 7350, loss[loss=0.2684, simple_loss=0.3405, pruned_loss=0.09815, over 14327.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.0369, over 180.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.343, pruned_loss=0.09782, over 2781188.02 frames. utt_duration=249.5 frames, utt_pad_proportion=0.07108, over 44848.15 utterances.], batch size: 180, lr: 1.62e-04
+2022-09-19 16:20:30,967 INFO [train.py:885] (1/2) Epoch 29, batch 7400, loss[loss=0.3002, simple_loss=0.375, pruned_loss=0.1127, over 14317.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0384, over 283.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3446, pruned_loss=0.09808, over 2776935.78 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07332, over 46198.40 utterances.], batch size: 283, lr: 1.62e-04
+2022-09-19 16:21:00,712 INFO [train.py:885] (1/2) Epoch 29, batch 7450, loss[loss=0.1618, simple_loss=0.2261, pruned_loss=0.04878, over 13249.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.09522, over 41.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3459, pruned_loss=0.09842, over 2780006.03 frames. utt_duration=241.7 frames, utt_pad_proportion=0.07281, over 46286.69 utterances.], batch size: 41, lr: 1.62e-04
+2022-09-19 16:21:30,913 INFO [train.py:885] (1/2) Epoch 29, batch 7500, loss[loss=0.2642, simple_loss=0.3297, pruned_loss=0.09934, over 14302.00 frames. utt_duration=441.6 frames, utt_pad_proportion=0.03794, over 130.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3422, pruned_loss=0.09785, over 2782071.40 frames. utt_duration=252.8 frames, utt_pad_proportion=0.07043, over 44277.76 utterances.], batch size: 130, lr: 1.62e-04
+2022-09-19 16:22:01,033 INFO [train.py:885] (1/2) Epoch 29, batch 7550, loss[loss=0.262, simple_loss=0.362, pruned_loss=0.08102, over 13986.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05705, over 365.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3417, pruned_loss=0.09751, over 2781651.76 frames. utt_duration=255.1 frames, utt_pad_proportion=0.06971, over 43874.81 utterances.], batch size: 365, lr: 1.62e-04
+2022-09-19 16:22:30,491 INFO [train.py:885] (1/2) Epoch 29, batch 7600, loss[loss=0.2691, simple_loss=0.3416, pruned_loss=0.09833, over 14297.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.03993, over 120.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3449, pruned_loss=0.0993, over 2781239.89 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07293, over 45066.55 utterances.], batch size: 120, lr: 1.62e-04
+2022-09-19 16:23:00,365 INFO [train.py:885] (1/2) Epoch 29, batch 7650, loss[loss=0.3571, simple_loss=0.4141, pruned_loss=0.1501, over 14186.00 frames. utt_duration=187 frames, utt_pad_proportion=0.0459, over 306.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3449, pruned_loss=0.09828, over 2778656.35 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07385, over 45575.42 utterances.], batch size: 306, lr: 1.62e-04
+2022-09-19 16:23:30,329 INFO [train.py:885] (1/2) Epoch 29, batch 7700, loss[loss=0.2917, simple_loss=0.3657, pruned_loss=0.1088, over 14312.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03965, over 262.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3455, pruned_loss=0.0993, over 2781964.13 frames. utt_duration=244.3 frames, utt_pad_proportion=0.0712, over 45829.68 utterances.], batch size: 262, lr: 1.62e-04
+2022-09-19 16:24:00,679 INFO [train.py:885] (1/2) Epoch 29, batch 7750, loss[loss=0.1931, simple_loss=0.2757, pruned_loss=0.05531, over 12274.00 frames. utt_duration=2047 frames, utt_pad_proportion=0.1533, over 24.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3451, pruned_loss=0.09916, over 2779014.60 frames. utt_duration=247 frames, utt_pad_proportion=0.07177, over 45285.13 utterances.], batch size: 24, lr: 1.62e-04
+2022-09-19 16:24:30,197 INFO [train.py:885] (1/2) Epoch 29, batch 7800, loss[loss=0.2045, simple_loss=0.2761, pruned_loss=0.0664, over 14283.00 frames. utt_duration=520.8 frames, utt_pad_proportion=0.04439, over 110.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3462, pruned_loss=0.09928, over 2780523.79 frames. utt_duration=243.3 frames, utt_pad_proportion=0.0725, over 45997.02 utterances.], batch size: 110, lr: 1.62e-04
+2022-09-19 16:25:00,077 INFO [train.py:885] (1/2) Epoch 29, batch 7850, loss[loss=0.2008, simple_loss=0.2791, pruned_loss=0.06123, over 14149.00 frames. utt_duration=637.3 frames, utt_pad_proportion=0.05019, over 89.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3443, pruned_loss=0.09787, over 2785310.35 frames. utt_duration=248.3 frames, utt_pad_proportion=0.06956, over 45139.32 utterances.], batch size: 89, lr: 1.62e-04
+2022-09-19 16:25:29,738 INFO [train.py:885] (1/2) Epoch 29, batch 7900, loss[loss=0.1678, simple_loss=0.23, pruned_loss=0.05284, over 12437.00 frames. utt_duration=2075 frames, utt_pad_proportion=0.1458, over 24.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3451, pruned_loss=0.0987, over 2782859.39 frames. utt_duration=247 frames, utt_pad_proportion=0.07148, over 45345.33 utterances.], batch size: 24, lr: 1.62e-04
+2022-09-19 16:25:59,292 INFO [train.py:885] (1/2) Epoch 29, batch 7950, loss[loss=0.381, simple_loss=0.4804, pruned_loss=0.1408, over 13140.00 frames. utt_duration=82.02 frames, utt_pad_proportion=0.1084, over 653.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3477, pruned_loss=0.09952, over 2785004.52 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07236, over 46721.62 utterances.], batch size: 653, lr: 1.62e-04
+2022-09-19 16:26:29,178 INFO [train.py:885] (1/2) Epoch 29, batch 8000, loss[loss=0.3227, simple_loss=0.3883, pruned_loss=0.1285, over 14214.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04372, over 306.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3435, pruned_loss=0.09792, over 2784830.27 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07209, over 44942.50 utterances.], batch size: 306, lr: 1.62e-04
+2022-09-19 16:26:58,874 INFO [train.py:885] (1/2) Epoch 29, batch 8050, loss[loss=0.2821, simple_loss=0.355, pruned_loss=0.1046, over 14372.00 frames. utt_duration=345.5 frames, utt_pad_proportion=0.03755, over 167.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3454, pruned_loss=0.09878, over 2786767.01 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07123, over 45712.76 utterances.], batch size: 167, lr: 1.62e-04
+2022-09-19 16:27:29,845 INFO [train.py:885] (1/2) Epoch 29, batch 8100, loss[loss=0.2164, simple_loss=0.3022, pruned_loss=0.06528, over 14130.00 frames. utt_duration=578.1 frames, utt_pad_proportion=0.05079, over 98.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3473, pruned_loss=0.1005, over 2787812.09 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07076, over 45564.69 utterances.], batch size: 98, lr: 1.62e-04
+2022-09-19 16:27:59,676 INFO [train.py:885] (1/2) Epoch 29, batch 8150, loss[loss=0.2192, simple_loss=0.2913, pruned_loss=0.07355, over 14227.00 frames. utt_duration=640.9 frames, utt_pad_proportion=0.04483, over 89.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3422, pruned_loss=0.09785, over 2785057.21 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07041, over 43995.72 utterances.], batch size: 89, lr: 1.61e-04
+2022-09-19 16:28:29,434 INFO [train.py:885] (1/2) Epoch 29, batch 8200, loss[loss=0.3532, simple_loss=0.4297, pruned_loss=0.1383, over 13953.00 frames. utt_duration=154.2 frames, utt_pad_proportion=0.05966, over 365.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3415, pruned_loss=0.09715, over 2781703.32 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07116, over 44183.84 utterances.], batch size: 365, lr: 1.61e-04
+2022-09-19 16:28:59,119 INFO [train.py:885] (1/2) Epoch 29, batch 8250, loss[loss=0.199, simple_loss=0.2652, pruned_loss=0.06643, over 13737.00 frames. utt_duration=917.4 frames, utt_pad_proportion=0.07524, over 60.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3428, pruned_loss=0.09817, over 2783552.37 frames. utt_duration=254.7 frames, utt_pad_proportion=0.07039, over 43979.06 utterances.], batch size: 60, lr: 1.61e-04
+2022-09-19 16:29:28,285 INFO [train.py:885] (1/2) Epoch 29, batch 8300, loss[loss=0.1653, simple_loss=0.2358, pruned_loss=0.04741, over 13847.00 frames. utt_duration=924.3 frames, utt_pad_proportion=0.07107, over 60.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3408, pruned_loss=0.0969, over 2785241.80 frames. utt_duration=258.1 frames, utt_pad_proportion=0.06932, over 43406.62 utterances.], batch size: 60, lr: 1.61e-04
+2022-09-19 16:29:58,553 INFO [train.py:885] (1/2) Epoch 29, batch 8350, loss[loss=0.1831, simple_loss=0.2513, pruned_loss=0.05745, over 13411.00 frames. utt_duration=1074 frames, utt_pad_proportion=0.08634, over 50.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3386, pruned_loss=0.09597, over 2780745.16 frames. utt_duration=263.8 frames, utt_pad_proportion=0.06894, over 42404.95 utterances.], batch size: 50, lr: 1.61e-04
+2022-09-19 16:30:28,146 INFO [train.py:885] (1/2) Epoch 29, batch 8400, loss[loss=0.1442, simple_loss=0.2105, pruned_loss=0.03892, over 13568.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08644, over 50.00 utterances.], tot_loss[loss=0.2634, simple_loss=0.3365, pruned_loss=0.09516, over 2779726.62 frames. utt_duration=267.2 frames, utt_pad_proportion=0.06908, over 41843.83 utterances.], batch size: 50, lr: 1.61e-04
+2022-09-19 16:30:58,270 INFO [train.py:885] (1/2) Epoch 29, batch 8450, loss[loss=0.2208, simple_loss=0.3161, pruned_loss=0.06271, over 14333.00 frames. utt_duration=295.5 frames, utt_pad_proportion=0.0376, over 195.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.3378, pruned_loss=0.09554, over 2779414.99 frames. utt_duration=263.4 frames, utt_pad_proportion=0.06935, over 42443.10 utterances.], batch size: 195, lr: 1.61e-04
+2022-09-19 16:31:28,027 INFO [train.py:885] (1/2) Epoch 29, batch 8500, loss[loss=0.303, simple_loss=0.4109, pruned_loss=0.09761, over 13586.00 frames. utt_duration=98.39 frames, utt_pad_proportion=0.08044, over 560.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3424, pruned_loss=0.09735, over 2778097.63 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07196, over 44406.53 utterances.], batch size: 560, lr: 1.61e-04
+2022-09-19 16:31:57,336 INFO [train.py:885] (1/2) Epoch 29, batch 8550, loss[loss=0.3206, simple_loss=0.3876, pruned_loss=0.1268, over 14186.00 frames. utt_duration=187 frames, utt_pad_proportion=0.04583, over 306.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3386, pruned_loss=0.096, over 2781185.00 frames. utt_duration=260.7 frames, utt_pad_proportion=0.06853, over 42908.49 utterances.], batch size: 306, lr: 1.61e-04
+2022-09-19 16:32:27,174 INFO [train.py:885] (1/2) Epoch 29, batch 8600, loss[loss=0.1617, simple_loss=0.2395, pruned_loss=0.04197, over 13906.00 frames. utt_duration=807.8 frames, utt_pad_proportion=0.05848, over 69.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3391, pruned_loss=0.0956, over 2782437.51 frames. utt_duration=258.8 frames, utt_pad_proportion=0.06941, over 43249.44 utterances.], batch size: 69, lr: 1.61e-04
+2022-09-19 16:32:56,659 INFO [train.py:885] (1/2) Epoch 29, batch 8650, loss[loss=0.2959, simple_loss=0.3495, pruned_loss=0.1212, over 14171.00 frames. utt_duration=521.4 frames, utt_pad_proportion=0.04507, over 109.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3391, pruned_loss=0.09575, over 2783305.23 frames. utt_duration=258.6 frames, utt_pad_proportion=0.06923, over 43295.18 utterances.], batch size: 109, lr: 1.61e-04
+2022-09-19 16:33:27,260 INFO [train.py:885] (1/2) Epoch 29, batch 8700, loss[loss=0.2633, simple_loss=0.3374, pruned_loss=0.09458, over 14254.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04541, over 141.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3421, pruned_loss=0.09711, over 2781135.43 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07153, over 44715.11 utterances.], batch size: 141, lr: 1.61e-04
+2022-09-19 16:33:56,922 INFO [train.py:885] (1/2) Epoch 29, batch 8750, loss[loss=0.2743, simple_loss=0.3623, pruned_loss=0.09318, over 14377.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03232, over 244.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3447, pruned_loss=0.09792, over 2779736.07 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07143, over 45891.44 utterances.], batch size: 244, lr: 1.61e-04
+2022-09-19 16:34:26,434 INFO [train.py:885] (1/2) Epoch 29, batch 8800, loss[loss=0.295, simple_loss=0.3692, pruned_loss=0.1104, over 14349.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03657, over 195.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3482, pruned_loss=0.1001, over 2780017.02 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07257, over 47402.97 utterances.], batch size: 195, lr: 1.61e-04
+2022-09-19 16:34:56,484 INFO [train.py:885] (1/2) Epoch 29, batch 8850, loss[loss=0.1471, simple_loss=0.214, pruned_loss=0.04006, over 12674.00 frames. utt_duration=2029 frames, utt_pad_proportion=0.1303, over 25.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3465, pruned_loss=0.09934, over 2778046.70 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07331, over 47110.24 utterances.], batch size: 25, lr: 1.61e-04
+2022-09-19 16:35:26,214 INFO [train.py:885] (1/2) Epoch 29, batch 8900, loss[loss=0.2283, simple_loss=0.2982, pruned_loss=0.07923, over 14193.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04344, over 109.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3445, pruned_loss=0.09784, over 2777515.22 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07318, over 46990.60 utterances.], batch size: 109, lr: 1.61e-04
+2022-09-19 16:35:56,451 INFO [train.py:885] (1/2) Epoch 29, batch 8950, loss[loss=0.3139, simple_loss=0.3863, pruned_loss=0.1207, over 14336.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03815, over 262.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3433, pruned_loss=0.09717, over 2781131.49 frames. utt_duration=242.7 frames, utt_pad_proportion=0.0716, over 46108.32 utterances.], batch size: 262, lr: 1.61e-04
+2022-09-19 16:36:26,289 INFO [train.py:885] (1/2) Epoch 29, batch 9000, loss[loss=0.2075, simple_loss=0.2709, pruned_loss=0.07206, over 13719.00 frames. utt_duration=1099 frames, utt_pad_proportion=0.07493, over 50.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3437, pruned_loss=0.09739, over 2779050.38 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07324, over 46503.80 utterances.], batch size: 50, lr: 1.61e-04
+2022-09-19 16:36:26,290 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 16:36:30,499 INFO [train.py:914] (1/2) Epoch 29, validation: loss=0.1859, simple_loss=0.2667, pruned_loss=0.05254, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 16:37:00,354 INFO [train.py:885] (1/2) Epoch 29, batch 9050, loss[loss=0.3648, simple_loss=0.4127, pruned_loss=0.1585, over 14258.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04111, over 335.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3466, pruned_loss=0.09918, over 2781665.03 frames. utt_duration=237.5 frames, utt_pad_proportion=0.07151, over 47134.42 utterances.], batch size: 335, lr: 1.61e-04
+2022-09-19 16:37:29,542 INFO [train.py:885] (1/2) Epoch 29, batch 9100, loss[loss=0.1998, simple_loss=0.2813, pruned_loss=0.05916, over 14031.00 frames. utt_duration=574 frames, utt_pad_proportion=0.05907, over 98.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3434, pruned_loss=0.09741, over 2783191.01 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07107, over 46075.11 utterances.], batch size: 98, lr: 1.61e-04
+2022-09-19 16:37:59,796 INFO [train.py:885] (1/2) Epoch 29, batch 9150, loss[loss=0.1811, simple_loss=0.2595, pruned_loss=0.05134, over 13766.00 frames. utt_duration=799.7 frames, utt_pad_proportion=0.06902, over 69.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3465, pruned_loss=0.09776, over 2781788.89 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07159, over 47708.25 utterances.], batch size: 69, lr: 1.61e-04
+2022-09-19 16:38:29,317 INFO [train.py:885] (1/2) Epoch 29, batch 9200, loss[loss=0.2425, simple_loss=0.3213, pruned_loss=0.08179, over 14308.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03754, over 130.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3492, pruned_loss=0.09909, over 2783617.95 frames. utt_duration=229.4 frames, utt_pad_proportion=0.07236, over 48847.45 utterances.], batch size: 130, lr: 1.61e-04
+2022-09-19 16:38:59,477 INFO [train.py:885] (1/2) Epoch 29, batch 9250, loss[loss=0.3337, simple_loss=0.4406, pruned_loss=0.1134, over 13165.00 frames. utt_duration=82.15 frames, utt_pad_proportion=0.107, over 653.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3492, pruned_loss=0.09895, over 2779475.53 frames. utt_duration=226.1 frames, utt_pad_proportion=0.0745, over 49497.72 utterances.], batch size: 653, lr: 1.61e-04
+2022-09-19 16:39:29,059 INFO [train.py:885] (1/2) Epoch 29, batch 9300, loss[loss=0.281, simple_loss=0.3575, pruned_loss=0.1023, over 14351.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03702, over 262.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3429, pruned_loss=0.09669, over 2777706.04 frames. utt_duration=242 frames, utt_pad_proportion=0.07258, over 46200.37 utterances.], batch size: 262, lr: 1.61e-04
+2022-09-19 16:39:58,896 INFO [train.py:885] (1/2) Epoch 29, batch 9350, loss[loss=0.2328, simple_loss=0.3137, pruned_loss=0.07592, over 14310.00 frames. utt_duration=478.5 frames, utt_pad_proportion=0.03911, over 120.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3431, pruned_loss=0.09748, over 2782461.10 frames. utt_duration=246.8 frames, utt_pad_proportion=0.07026, over 45373.84 utterances.], batch size: 120, lr: 1.61e-04
+2022-09-19 16:40:28,530 INFO [train.py:885] (1/2) Epoch 29, batch 9400, loss[loss=0.2836, simple_loss=0.3779, pruned_loss=0.09462, over 14026.00 frames. utt_duration=155.1 frames, utt_pad_proportion=0.05409, over 365.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3422, pruned_loss=0.09681, over 2780106.25 frames. utt_duration=247.1 frames, utt_pad_proportion=0.06951, over 45271.43 utterances.], batch size: 365, lr: 1.61e-04
+2022-09-19 16:40:58,514 INFO [train.py:885] (1/2) Epoch 29, batch 9450, loss[loss=0.2908, simple_loss=0.3666, pruned_loss=0.1075, over 14380.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03197, over 244.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.344, pruned_loss=0.09764, over 2782932.81 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07058, over 45625.07 utterances.], batch size: 244, lr: 1.61e-04
+2022-09-19 16:41:28,651 INFO [train.py:885] (1/2) Epoch 29, batch 9500, loss[loss=0.3327, simple_loss=0.4007, pruned_loss=0.1324, over 14317.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03892, over 262.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3448, pruned_loss=0.09807, over 2781630.49 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07103, over 45579.22 utterances.], batch size: 262, lr: 1.61e-04
+2022-09-19 16:41:58,902 INFO [train.py:885] (1/2) Epoch 29, batch 9550, loss[loss=0.2699, simple_loss=0.3648, pruned_loss=0.08749, over 14020.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05701, over 366.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3443, pruned_loss=0.09775, over 2779466.02 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07121, over 46208.10 utterances.], batch size: 366, lr: 1.61e-04
+2022-09-19 16:42:28,605 INFO [train.py:885] (1/2) Epoch 29, batch 9600, loss[loss=0.1666, simple_loss=0.2547, pruned_loss=0.03919, over 14229.00 frames. utt_duration=640.9 frames, utt_pad_proportion=0.04484, over 89.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3438, pruned_loss=0.0985, over 2776827.96 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07345, over 45286.75 utterances.], batch size: 89, lr: 1.61e-04
+2022-09-19 16:42:58,847 INFO [train.py:885] (1/2) Epoch 29, batch 9650, loss[loss=0.2137, simple_loss=0.2858, pruned_loss=0.07079, over 14118.00 frames. utt_duration=519.6 frames, utt_pad_proportion=0.04836, over 109.00 utterances.], tot_loss[loss=0.2657, simple_loss=0.3392, pruned_loss=0.09607, over 2778336.05 frames. utt_duration=255.1 frames, utt_pad_proportion=0.07157, over 43815.82 utterances.], batch size: 109, lr: 1.61e-04
+2022-09-19 16:43:27,936 INFO [train.py:885] (1/2) Epoch 29, batch 9700, loss[loss=0.261, simple_loss=0.3362, pruned_loss=0.09284, over 14280.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.04212, over 154.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3416, pruned_loss=0.09745, over 2778955.74 frames. utt_duration=250.6 frames, utt_pad_proportion=0.0719, over 44613.58 utterances.], batch size: 154, lr: 1.61e-04
+2022-09-19 16:43:57,395 INFO [train.py:885] (1/2) Epoch 29, batch 9750, loss[loss=0.2748, simple_loss=0.3477, pruned_loss=0.1009, over 14249.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04187, over 225.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3396, pruned_loss=0.09597, over 2782861.89 frames. utt_duration=257.1 frames, utt_pad_proportion=0.07081, over 43540.09 utterances.], batch size: 225, lr: 1.61e-04
+2022-09-19 16:44:26,751 INFO [train.py:885] (1/2) Epoch 29, batch 9800, loss[loss=0.2678, simple_loss=0.3551, pruned_loss=0.09023, over 14333.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03719, over 210.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3421, pruned_loss=0.0971, over 2784370.35 frames. utt_duration=253.6 frames, utt_pad_proportion=0.06995, over 44166.25 utterances.], batch size: 210, lr: 1.61e-04
+2022-09-19 16:45:02,712 INFO [train.py:885] (1/2) Epoch 29, batch 9850, loss[loss=0.2778, simple_loss=0.3592, pruned_loss=0.0982, over 14366.00 frames. utt_duration=275 frames, utt_pad_proportion=0.03519, over 210.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3441, pruned_loss=0.09776, over 2791843.06 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06713, over 44863.84 utterances.], batch size: 210, lr: 1.61e-04
+2022-09-19 16:45:32,183 INFO [train.py:885] (1/2) Epoch 29, batch 9900, loss[loss=0.3425, simple_loss=0.3979, pruned_loss=0.1435, over 14358.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03674, over 283.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3447, pruned_loss=0.0978, over 2791814.48 frames. utt_duration=247.9 frames, utt_pad_proportion=0.06738, over 45324.88 utterances.], batch size: 283, lr: 1.61e-04
+2022-09-19 16:46:01,769 INFO [train.py:885] (1/2) Epoch 29, batch 9950, loss[loss=0.2279, simple_loss=0.3114, pruned_loss=0.07217, over 14184.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04365, over 109.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3473, pruned_loss=0.09927, over 2790958.03 frames. utt_duration=244.5 frames, utt_pad_proportion=0.06808, over 45936.12 utterances.], batch size: 109, lr: 1.61e-04
+2022-09-19 16:46:31,436 INFO [train.py:885] (1/2) Epoch 29, batch 10000, loss[loss=0.2978, simple_loss=0.3642, pruned_loss=0.1157, over 14366.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03222, over 244.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.3466, pruned_loss=0.09899, over 2791869.72 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06777, over 45798.66 utterances.], batch size: 244, lr: 1.61e-04
+2022-09-19 16:47:00,569 INFO [train.py:885] (1/2) Epoch 29, batch 10050, loss[loss=0.1517, simple_loss=0.2055, pruned_loss=0.04898, over 12687.00 frames. utt_duration=2116 frames, utt_pad_proportion=0.1375, over 24.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.346, pruned_loss=0.09846, over 2788773.50 frames. utt_duration=244.5 frames, utt_pad_proportion=0.06886, over 45898.67 utterances.], batch size: 24, lr: 1.61e-04
+2022-09-19 16:47:29,938 INFO [train.py:885] (1/2) Epoch 29, batch 10100, loss[loss=0.3095, simple_loss=0.3793, pruned_loss=0.1199, over 14239.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.0421, over 306.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3476, pruned_loss=0.09891, over 2788005.30 frames. utt_duration=240 frames, utt_pad_proportion=0.06892, over 46746.02 utterances.], batch size: 306, lr: 1.61e-04
+2022-09-19 16:47:59,476 INFO [train.py:885] (1/2) Epoch 29, batch 10150, loss[loss=0.1805, simple_loss=0.2571, pruned_loss=0.05193, over 13808.00 frames. utt_duration=802 frames, utt_pad_proportion=0.06631, over 69.00 utterances.], tot_loss[loss=0.272, simple_loss=0.347, pruned_loss=0.0985, over 2776550.61 frames. utt_duration=238.8 frames, utt_pad_proportion=0.0723, over 46788.61 utterances.], batch size: 69, lr: 1.61e-04
+2022-09-19 16:48:29,178 INFO [train.py:885] (1/2) Epoch 29, batch 10200, loss[loss=0.2707, simple_loss=0.3442, pruned_loss=0.09861, over 14248.00 frames. utt_duration=254.7 frames, utt_pad_proportion=0.04237, over 225.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.35, pruned_loss=0.1002, over 2780768.50 frames. utt_duration=233.1 frames, utt_pad_proportion=0.07245, over 48020.78 utterances.], batch size: 225, lr: 1.61e-04
+2022-09-19 16:48:58,616 INFO [train.py:885] (1/2) Epoch 29, batch 10250, loss[loss=0.1662, simple_loss=0.2368, pruned_loss=0.04785, over 13512.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.09047, over 50.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3493, pruned_loss=0.1004, over 2778588.85 frames. utt_duration=235.8 frames, utt_pad_proportion=0.07146, over 47440.74 utterances.], batch size: 50, lr: 1.61e-04
+2022-09-19 16:49:28,328 INFO [train.py:885] (1/2) Epoch 29, batch 10300, loss[loss=0.3422, simple_loss=0.4327, pruned_loss=0.1259, over 13636.00 frames. utt_duration=98.54 frames, utt_pad_proportion=0.07908, over 561.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.348, pruned_loss=0.09959, over 2776669.52 frames. utt_duration=236.2 frames, utt_pad_proportion=0.07229, over 47321.60 utterances.], batch size: 561, lr: 1.61e-04
+2022-09-19 16:49:58,729 INFO [train.py:885] (1/2) Epoch 29, batch 10350, loss[loss=0.2673, simple_loss=0.3591, pruned_loss=0.08774, over 14011.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05515, over 365.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.347, pruned_loss=0.09955, over 2779260.61 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07143, over 46055.27 utterances.], batch size: 365, lr: 1.61e-04
+2022-09-19 16:50:27,691 INFO [train.py:885] (1/2) Epoch 29, batch 10400, loss[loss=0.1882, simple_loss=0.2569, pruned_loss=0.05972, over 14098.00 frames. utt_duration=715.2 frames, utt_pad_proportion=0.05391, over 79.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3433, pruned_loss=0.09725, over 2779843.14 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07187, over 44497.76 utterances.], batch size: 79, lr: 1.61e-04
+2022-09-19 16:50:56,659 INFO [train.py:885] (1/2) Epoch 29, batch 10450, loss[loss=0.3253, simple_loss=0.3878, pruned_loss=0.1314, over 14331.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0381, over 283.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3465, pruned_loss=0.09846, over 2781384.95 frames. utt_duration=239.6 frames, utt_pad_proportion=0.07176, over 46717.66 utterances.], batch size: 283, lr: 1.61e-04
+2022-09-19 16:51:26,365 INFO [train.py:885] (1/2) Epoch 29, batch 10500, loss[loss=0.2615, simple_loss=0.3342, pruned_loss=0.09437, over 14270.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04237, over 130.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3472, pruned_loss=0.09939, over 2777856.12 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07156, over 46612.91 utterances.], batch size: 130, lr: 1.61e-04
+2022-09-19 16:51:55,917 INFO [train.py:885] (1/2) Epoch 29, batch 10550, loss[loss=0.2516, simple_loss=0.3339, pruned_loss=0.08469, over 14238.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04426, over 141.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3468, pruned_loss=0.09926, over 2782992.62 frames. utt_duration=241.3 frames, utt_pad_proportion=0.06954, over 46415.12 utterances.], batch size: 141, lr: 1.61e-04
+2022-09-19 16:52:25,780 INFO [train.py:885] (1/2) Epoch 29, batch 10600, loss[loss=0.5572, simple_loss=0.626, pruned_loss=0.2442, over 12444.00 frames. utt_duration=63.07 frames, utt_pad_proportion=0.1477, over 810.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3475, pruned_loss=0.0996, over 2783630.14 frames. utt_duration=238.3 frames, utt_pad_proportion=0.06974, over 47009.14 utterances.], batch size: 810, lr: 1.61e-04
+2022-09-19 16:52:55,713 INFO [train.py:885] (1/2) Epoch 29, batch 10650, loss[loss=0.2614, simple_loss=0.342, pruned_loss=0.09039, over 14339.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03935, over 167.00 utterances.], tot_loss[loss=0.2758, simple_loss=0.3501, pruned_loss=0.1007, over 2783695.28 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07046, over 48164.25 utterances.], batch size: 167, lr: 1.61e-04
+2022-09-19 16:53:25,964 INFO [train.py:885] (1/2) Epoch 29, batch 10700, loss[loss=0.2028, simple_loss=0.2774, pruned_loss=0.06415, over 14130.00 frames. utt_duration=519.9 frames, utt_pad_proportion=0.04777, over 109.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.349, pruned_loss=0.1002, over 2783467.56 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07153, over 47104.18 utterances.], batch size: 109, lr: 1.61e-04
+2022-09-19 16:53:54,649 INFO [train.py:885] (1/2) Epoch 29, batch 10750, loss[loss=0.2161, simple_loss=0.2842, pruned_loss=0.07397, over 13648.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.0819, over 50.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3453, pruned_loss=0.09838, over 2778012.09 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07314, over 46225.78 utterances.], batch size: 50, lr: 1.61e-04
+2022-09-19 16:54:25,039 INFO [train.py:885] (1/2) Epoch 29, batch 10800, loss[loss=0.3455, simple_loss=0.4298, pruned_loss=0.1306, over 13659.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.07322, over 478.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3478, pruned_loss=0.09858, over 2775734.36 frames. utt_duration=231.9 frames, utt_pad_proportion=0.07499, over 48180.01 utterances.], batch size: 478, lr: 1.61e-04
+2022-09-19 16:54:54,343 INFO [train.py:885] (1/2) Epoch 29, batch 10850, loss[loss=0.2416, simple_loss=0.336, pruned_loss=0.07357, over 14296.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03936, over 226.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3469, pruned_loss=0.09802, over 2773187.83 frames. utt_duration=232.8 frames, utt_pad_proportion=0.07584, over 47950.19 utterances.], batch size: 226, lr: 1.61e-04
+2022-09-19 16:55:24,112 INFO [train.py:885] (1/2) Epoch 29, batch 10900, loss[loss=0.3809, simple_loss=0.4686, pruned_loss=0.1466, over 13174.00 frames. utt_duration=82.28 frames, utt_pad_proportion=0.1057, over 653.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3495, pruned_loss=0.09893, over 2770147.22 frames. utt_duration=226.1 frames, utt_pad_proportion=0.07655, over 49322.05 utterances.], batch size: 653, lr: 1.61e-04
+2022-09-19 16:55:53,584 INFO [train.py:885] (1/2) Epoch 29, batch 10950, loss[loss=0.25, simple_loss=0.3396, pruned_loss=0.08023, over 14315.00 frames. utt_duration=344.1 frames, utt_pad_proportion=0.04158, over 167.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3479, pruned_loss=0.09841, over 2774653.38 frames. utt_duration=228.9 frames, utt_pad_proportion=0.07509, over 48800.20 utterances.], batch size: 167, lr: 1.61e-04
+2022-09-19 16:56:22,060 INFO [train.py:885] (1/2) Epoch 29, batch 11000, loss[loss=0.288, simple_loss=0.3679, pruned_loss=0.1041, over 14295.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04045, over 262.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3469, pruned_loss=0.09788, over 2776907.72 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07309, over 48053.74 utterances.], batch size: 262, lr: 1.61e-04
+2022-09-19 16:56:52,433 INFO [train.py:885] (1/2) Epoch 29, batch 11050, loss[loss=0.2913, simple_loss=0.3879, pruned_loss=0.0973, over 13639.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08103, over 477.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3453, pruned_loss=0.09745, over 2778244.98 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07098, over 46870.64 utterances.], batch size: 477, lr: 1.61e-04
+2022-09-19 16:57:21,989 INFO [train.py:885] (1/2) Epoch 29, batch 11100, loss[loss=0.2558, simple_loss=0.3251, pruned_loss=0.09326, over 14104.00 frames. utt_duration=519.1 frames, utt_pad_proportion=0.04922, over 109.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3437, pruned_loss=0.09656, over 2778489.99 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07109, over 46364.89 utterances.], batch size: 109, lr: 1.61e-04
+2022-09-19 16:57:51,713 INFO [train.py:885] (1/2) Epoch 29, batch 11150, loss[loss=0.1705, simple_loss=0.2355, pruned_loss=0.05278, over 13409.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.08464, over 41.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.344, pruned_loss=0.09625, over 2775693.17 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07277, over 46989.64 utterances.], batch size: 41, lr: 1.61e-04
+2022-09-19 16:58:20,696 INFO [train.py:885] (1/2) Epoch 29, batch 11200, loss[loss=0.185, simple_loss=0.2541, pruned_loss=0.05795, over 13858.00 frames. utt_duration=925.2 frames, utt_pad_proportion=0.06831, over 60.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3424, pruned_loss=0.09616, over 2780167.86 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07146, over 45280.07 utterances.], batch size: 60, lr: 1.61e-04
+2022-09-19 16:58:50,534 INFO [train.py:885] (1/2) Epoch 29, batch 11250, loss[loss=0.1608, simple_loss=0.226, pruned_loss=0.04783, over 13251.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.09616, over 41.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3436, pruned_loss=0.09648, over 2782806.75 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07143, over 45939.89 utterances.], batch size: 41, lr: 1.61e-04
+2022-09-19 16:59:19,561 INFO [train.py:885] (1/2) Epoch 29, batch 11300, loss[loss=0.2169, simple_loss=0.3098, pruned_loss=0.06198, over 14273.00 frames. utt_duration=372.3 frames, utt_pad_proportion=0.04285, over 154.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3467, pruned_loss=0.09842, over 2788267.24 frames. utt_duration=242.3 frames, utt_pad_proportion=0.0693, over 46311.52 utterances.], batch size: 154, lr: 1.61e-04
+2022-09-19 16:59:49,209 INFO [train.py:885] (1/2) Epoch 29, batch 11350, loss[loss=0.3023, simple_loss=0.375, pruned_loss=0.1148, over 14313.00 frames. utt_duration=295.1 frames, utt_pad_proportion=0.03885, over 195.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3436, pruned_loss=0.0972, over 2783477.95 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07028, over 45707.68 utterances.], batch size: 195, lr: 1.61e-04
+2022-09-19 17:00:18,277 INFO [train.py:885] (1/2) Epoch 29, batch 11400, loss[loss=0.1679, simple_loss=0.2373, pruned_loss=0.04929, over 13171.00 frames. utt_duration=1598 frames, utt_pad_proportion=0.1088, over 33.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3433, pruned_loss=0.09771, over 2788651.48 frames. utt_duration=250.9 frames, utt_pad_proportion=0.06785, over 44715.60 utterances.], batch size: 33, lr: 1.61e-04
+2022-09-19 17:00:47,936 INFO [train.py:885] (1/2) Epoch 29, batch 11450, loss[loss=0.1771, simple_loss=0.2575, pruned_loss=0.04835, over 14192.00 frames. utt_duration=639.4 frames, utt_pad_proportion=0.04709, over 89.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3436, pruned_loss=0.0971, over 2784027.83 frames. utt_duration=245.4 frames, utt_pad_proportion=0.0707, over 45653.74 utterances.], batch size: 89, lr: 1.61e-04
+2022-09-19 17:01:17,070 INFO [train.py:885] (1/2) Epoch 29, batch 11500, loss[loss=0.2285, simple_loss=0.3167, pruned_loss=0.07019, over 14292.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03899, over 180.00 utterances.], tot_loss[loss=0.265, simple_loss=0.34, pruned_loss=0.09501, over 2781328.26 frames. utt_duration=250.8 frames, utt_pad_proportion=0.0697, over 44616.22 utterances.], batch size: 180, lr: 1.61e-04
+2022-09-19 17:01:46,855 INFO [train.py:885] (1/2) Epoch 29, batch 11550, loss[loss=0.3874, simple_loss=0.4272, pruned_loss=0.1738, over 14234.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04264, over 335.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3422, pruned_loss=0.09613, over 2782531.14 frames. utt_duration=245.4 frames, utt_pad_proportion=0.0699, over 45627.65 utterances.], batch size: 335, lr: 1.61e-04
+2022-09-19 17:02:16,650 INFO [train.py:885] (1/2) Epoch 29, batch 11600, loss[loss=0.3694, simple_loss=0.4186, pruned_loss=0.1601, over 14388.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.0356, over 244.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3447, pruned_loss=0.09801, over 2785063.23 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07098, over 45581.63 utterances.], batch size: 244, lr: 1.61e-04
+2022-09-19 17:02:46,180 INFO [train.py:885] (1/2) Epoch 29, batch 11650, loss[loss=0.3018, simple_loss=0.3549, pruned_loss=0.1244, over 14316.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03877, over 120.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3474, pruned_loss=0.09944, over 2783282.60 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07302, over 46952.77 utterances.], batch size: 120, lr: 1.61e-04
+2022-09-19 17:03:15,326 INFO [train.py:885] (1/2) Epoch 29, batch 11700, loss[loss=0.2573, simple_loss=0.3314, pruned_loss=0.09161, over 14327.00 frames. utt_duration=344.5 frames, utt_pad_proportion=0.04052, over 167.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3457, pruned_loss=0.09838, over 2788750.97 frames. utt_duration=244 frames, utt_pad_proportion=0.07059, over 45991.07 utterances.], batch size: 167, lr: 1.61e-04
+2022-09-19 17:03:44,606 INFO [train.py:885] (1/2) Epoch 29, batch 11750, loss[loss=0.2493, simple_loss=0.3328, pruned_loss=0.08287, over 14262.00 frames. utt_duration=318.2 frames, utt_pad_proportion=0.04147, over 180.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3438, pruned_loss=0.09764, over 2790270.25 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07112, over 44981.07 utterances.], batch size: 180, lr: 1.61e-04
+2022-09-19 17:04:14,636 INFO [train.py:885] (1/2) Epoch 29, batch 11800, loss[loss=0.2577, simple_loss=0.3194, pruned_loss=0.09799, over 14077.00 frames. utt_duration=714 frames, utt_pad_proportion=0.05552, over 79.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3432, pruned_loss=0.09739, over 2789548.94 frames. utt_duration=252 frames, utt_pad_proportion=0.06968, over 44531.96 utterances.], batch size: 79, lr: 1.61e-04
+2022-09-19 17:04:44,508 INFO [train.py:885] (1/2) Epoch 29, batch 11850, loss[loss=0.2086, simple_loss=0.2653, pruned_loss=0.07588, over 13665.00 frames. utt_duration=912.2 frames, utt_pad_proportion=0.08039, over 60.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3477, pruned_loss=0.09891, over 2789554.63 frames. utt_duration=237.6 frames, utt_pad_proportion=0.071, over 47248.66 utterances.], batch size: 60, lr: 1.61e-04
+2022-09-19 17:05:13,613 INFO [train.py:885] (1/2) Epoch 29, batch 11900, loss[loss=0.2172, simple_loss=0.2952, pruned_loss=0.0696, over 14305.00 frames. utt_duration=478.4 frames, utt_pad_proportion=0.03936, over 120.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3476, pruned_loss=0.09874, over 2789512.95 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07082, over 46663.52 utterances.], batch size: 120, lr: 1.61e-04
+2022-09-19 17:05:42,903 INFO [train.py:885] (1/2) Epoch 29, batch 11950, loss[loss=0.3394, simple_loss=0.4297, pruned_loss=0.1245, over 13647.00 frames. utt_duration=98.82 frames, utt_pad_proportion=0.07642, over 560.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3462, pruned_loss=0.09811, over 2794100.61 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06814, over 45247.09 utterances.], batch size: 560, lr: 1.61e-04
+2022-09-19 17:06:12,826 INFO [train.py:885] (1/2) Epoch 29, batch 12000, loss[loss=0.3282, simple_loss=0.3907, pruned_loss=0.1329, over 14310.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03835, over 226.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3452, pruned_loss=0.09789, over 2788779.18 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07048, over 45334.20 utterances.], batch size: 226, lr: 1.61e-04
+2022-09-19 17:06:12,827 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 17:06:17,559 INFO [train.py:914] (1/2) Epoch 29, validation: loss=0.1935, simple_loss=0.2745, pruned_loss=0.05623, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 17:06:47,408 INFO [train.py:885] (1/2) Epoch 29, batch 12050, loss[loss=0.2198, simple_loss=0.2936, pruned_loss=0.07296, over 14005.00 frames. utt_duration=573.1 frames, utt_pad_proportion=0.05901, over 98.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3424, pruned_loss=0.09664, over 2784391.98 frames. utt_duration=251.4 frames, utt_pad_proportion=0.07022, over 44562.64 utterances.], batch size: 98, lr: 1.61e-04
+2022-09-19 17:07:16,366 INFO [train.py:885] (1/2) Epoch 29, batch 12100, loss[loss=0.2077, simple_loss=0.2807, pruned_loss=0.06732, over 14092.00 frames. utt_duration=715.2 frames, utt_pad_proportion=0.05273, over 79.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3403, pruned_loss=0.09635, over 2782495.42 frames. utt_duration=257.4 frames, utt_pad_proportion=0.07033, over 43493.35 utterances.], batch size: 79, lr: 1.61e-04
+2022-09-19 17:07:46,364 INFO [train.py:885] (1/2) Epoch 29, batch 12150, loss[loss=0.3412, simple_loss=0.453, pruned_loss=0.1147, over 13160.00 frames. utt_duration=82.16 frames, utt_pad_proportion=0.1069, over 653.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.343, pruned_loss=0.09717, over 2778004.54 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07243, over 45282.90 utterances.], batch size: 653, lr: 1.61e-04
+2022-09-19 17:08:15,888 INFO [train.py:885] (1/2) Epoch 29, batch 12200, loss[loss=0.3165, simple_loss=0.4176, pruned_loss=0.1077, over 13668.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08029, over 478.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3468, pruned_loss=0.09882, over 2779318.97 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07343, over 47075.16 utterances.], batch size: 478, lr: 1.61e-04
+2022-09-19 17:08:46,149 INFO [train.py:885] (1/2) Epoch 29, batch 12250, loss[loss=0.241, simple_loss=0.309, pruned_loss=0.08646, over 14223.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.0453, over 141.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3445, pruned_loss=0.09772, over 2777193.35 frames. utt_duration=243.3 frames, utt_pad_proportion=0.0716, over 45943.57 utterances.], batch size: 141, lr: 1.61e-04
+2022-09-19 17:09:14,886 INFO [train.py:885] (1/2) Epoch 29, batch 12300, loss[loss=0.3171, simple_loss=0.4189, pruned_loss=0.1076, over 13643.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08142, over 478.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3426, pruned_loss=0.09713, over 2780387.78 frames. utt_duration=247.6 frames, utt_pad_proportion=0.07009, over 45192.98 utterances.], batch size: 478, lr: 1.61e-04
+2022-09-19 17:09:43,761 INFO [train.py:885] (1/2) Epoch 29, batch 12350, loss[loss=0.3441, simple_loss=0.4006, pruned_loss=0.1438, over 14204.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04467, over 306.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3409, pruned_loss=0.09662, over 2789600.08 frames. utt_duration=259.4 frames, utt_pad_proportion=0.06644, over 43266.30 utterances.], batch size: 306, lr: 1.61e-04
+2022-09-19 17:10:14,635 INFO [train.py:885] (1/2) Epoch 29, batch 12400, loss[loss=0.2647, simple_loss=0.3357, pruned_loss=0.09688, over 14304.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.03833, over 154.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3445, pruned_loss=0.09759, over 2785873.46 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06992, over 45425.21 utterances.], batch size: 154, lr: 1.61e-04
+2022-09-19 17:10:44,411 INFO [train.py:885] (1/2) Epoch 29, batch 12450, loss[loss=0.2595, simple_loss=0.3443, pruned_loss=0.08732, over 14272.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04072, over 225.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3475, pruned_loss=0.09939, over 2784932.91 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07138, over 46434.57 utterances.], batch size: 225, lr: 1.61e-04
+2022-09-19 17:11:13,660 INFO [train.py:885] (1/2) Epoch 29, batch 12500, loss[loss=0.4078, simple_loss=0.4936, pruned_loss=0.161, over 13614.00 frames. utt_duration=98.64 frames, utt_pad_proportion=0.07817, over 560.00 utterances.], tot_loss[loss=0.275, simple_loss=0.3496, pruned_loss=0.1002, over 2788213.53 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07073, over 46906.99 utterances.], batch size: 560, lr: 1.61e-04
+2022-09-19 17:11:43,669 INFO [train.py:885] (1/2) Epoch 29, batch 12550, loss[loss=0.2804, simple_loss=0.3562, pruned_loss=0.1023, over 14363.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03551, over 210.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3481, pruned_loss=0.09958, over 2788986.09 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07009, over 45924.08 utterances.], batch size: 210, lr: 1.61e-04
+2022-09-19 17:12:10,842 INFO [train.py:885] (1/2) Epoch 29, batch 12600, loss[loss=0.1639, simple_loss=0.2383, pruned_loss=0.04468, over 13764.00 frames. utt_duration=919.2 frames, utt_pad_proportion=0.07714, over 60.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3471, pruned_loss=0.09922, over 2786651.01 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07151, over 45420.35 utterances.], batch size: 60, lr: 1.61e-04
+2022-09-19 17:12:29,268 INFO [train.py:885] (1/2) Epoch 30, batch 0, loss[loss=0.3184, simple_loss=0.4272, pruned_loss=0.1048, over 13623.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.0774, over 560.00 utterances.], tot_loss[loss=0.3184, simple_loss=0.4272, pruned_loss=0.1048, over 13623.00 frames. utt_duration=98.72 frames, utt_pad_proportion=0.0774, over 560.00 utterances.], batch size: 560, lr: 1.58e-04
+2022-09-19 17:12:59,801 INFO [train.py:885] (1/2) Epoch 30, batch 50, loss[loss=0.2807, simple_loss=0.362, pruned_loss=0.09971, over 14255.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04164, over 225.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3488, pruned_loss=0.09819, over 626744.71 frames. utt_duration=222.9 frames, utt_pad_proportion=0.07106, over 11320.59 utterances.], batch size: 225, lr: 1.58e-04
+2022-09-19 17:13:28,147 INFO [train.py:885] (1/2) Epoch 30, batch 100, loss[loss=0.2102, simple_loss=0.2876, pruned_loss=0.06635, over 13995.00 frames. utt_duration=710.2 frames, utt_pad_proportion=0.05933, over 79.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3508, pruned_loss=0.101, over 1106670.41 frames. utt_duration=231.6 frames, utt_pad_proportion=0.06851, over 19235.55 utterances.], batch size: 79, lr: 1.58e-04
+2022-09-19 17:13:58,323 INFO [train.py:885] (1/2) Epoch 30, batch 150, loss[loss=0.3226, simple_loss=0.4229, pruned_loss=0.1111, over 13673.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07843, over 477.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3494, pruned_loss=0.0996, over 1473485.45 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07054, over 25586.98 utterances.], batch size: 477, lr: 1.58e-04
+2022-09-19 17:14:27,973 INFO [train.py:885] (1/2) Epoch 30, batch 200, loss[loss=0.5408, simple_loss=0.6204, pruned_loss=0.2306, over 12464.00 frames. utt_duration=63.06 frames, utt_pad_proportion=0.1478, over 811.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.351, pruned_loss=0.1028, over 1759008.72 frames. utt_duration=229.4 frames, utt_pad_proportion=0.07529, over 30868.90 utterances.], batch size: 811, lr: 1.58e-04
+2022-09-19 17:14:57,388 INFO [train.py:885] (1/2) Epoch 30, batch 250, loss[loss=0.3172, simple_loss=0.3868, pruned_loss=0.1238, over 14361.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03309, over 244.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3432, pruned_loss=0.09838, over 1987161.37 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07281, over 32630.22 utterances.], batch size: 244, lr: 1.58e-04
+2022-09-19 17:15:33,484 INFO [train.py:885] (1/2) Epoch 30, batch 300, loss[loss=0.2512, simple_loss=0.3354, pruned_loss=0.08347, over 14243.00 frames. utt_duration=371.5 frames, utt_pad_proportion=0.04256, over 154.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3406, pruned_loss=0.09658, over 2164856.01 frames. utt_duration=250 frames, utt_pad_proportion=0.07139, over 34836.78 utterances.], batch size: 154, lr: 1.58e-04
+2022-09-19 17:16:02,716 INFO [train.py:885] (1/2) Epoch 30, batch 350, loss[loss=0.2047, simple_loss=0.2871, pruned_loss=0.06117, over 14090.00 frames. utt_duration=715 frames, utt_pad_proportion=0.05301, over 79.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3412, pruned_loss=0.09672, over 2306049.35 frames. utt_duration=253.3 frames, utt_pad_proportion=0.06823, over 36625.01 utterances.], batch size: 79, lr: 1.58e-04
+2022-09-19 17:16:31,587 INFO [train.py:885] (1/2) Epoch 30, batch 400, loss[loss=0.1773, simple_loss=0.2378, pruned_loss=0.05839, over 13736.00 frames. utt_duration=1100 frames, utt_pad_proportion=0.07084, over 50.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3382, pruned_loss=0.09589, over 2412214.65 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06911, over 37704.69 utterances.], batch size: 50, lr: 1.58e-04
+2022-09-19 17:17:01,565 INFO [train.py:885] (1/2) Epoch 30, batch 450, loss[loss=0.2663, simple_loss=0.3416, pruned_loss=0.09553, over 14348.00 frames. utt_duration=405.5 frames, utt_pad_proportion=0.03908, over 142.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3427, pruned_loss=0.09797, over 2495826.36 frames. utt_duration=249.2 frames, utt_pad_proportion=0.06974, over 40295.81 utterances.], batch size: 142, lr: 1.58e-04
+2022-09-19 17:17:31,242 INFO [train.py:885] (1/2) Epoch 30, batch 500, loss[loss=0.3778, simple_loss=0.4739, pruned_loss=0.1408, over 13197.00 frames. utt_duration=82.34 frames, utt_pad_proportion=0.105, over 653.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3434, pruned_loss=0.09729, over 2557004.91 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07086, over 42267.74 utterances.], batch size: 653, lr: 1.58e-04
+2022-09-19 17:18:00,248 INFO [train.py:885] (1/2) Epoch 30, batch 550, loss[loss=0.4223, simple_loss=0.4953, pruned_loss=0.1746, over 13607.00 frames. utt_duration=98.57 frames, utt_pad_proportion=0.07882, over 560.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.344, pruned_loss=0.09813, over 2611061.58 frames. utt_duration=249 frames, utt_pad_proportion=0.06856, over 42186.45 utterances.], batch size: 560, lr: 1.58e-04
+2022-09-19 17:18:30,429 INFO [train.py:885] (1/2) Epoch 30, batch 600, loss[loss=0.2151, simple_loss=0.2837, pruned_loss=0.07329, over 13073.00 frames. utt_duration=2013 frames, utt_pad_proportion=0.1078, over 26.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3466, pruned_loss=0.09913, over 2643616.89 frames. utt_duration=242.2 frames, utt_pad_proportion=0.07306, over 43930.15 utterances.], batch size: 26, lr: 1.58e-04
+2022-09-19 17:18:59,697 INFO [train.py:885] (1/2) Epoch 30, batch 650, loss[loss=0.246, simple_loss=0.3157, pruned_loss=0.0881, over 14019.00 frames. utt_duration=573.8 frames, utt_pad_proportion=0.05787, over 98.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3431, pruned_loss=0.09729, over 2675331.98 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07196, over 43361.53 utterances.], batch size: 98, lr: 1.58e-04
+2022-09-19 17:19:29,580 INFO [train.py:885] (1/2) Epoch 30, batch 700, loss[loss=0.2428, simple_loss=0.3291, pruned_loss=0.07829, over 14285.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03936, over 180.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3436, pruned_loss=0.09825, over 2704780.35 frames. utt_duration=254.1 frames, utt_pad_proportion=0.06875, over 42824.35 utterances.], batch size: 180, lr: 1.58e-04
+2022-09-19 17:20:00,440 INFO [train.py:885] (1/2) Epoch 30, batch 750, loss[loss=0.188, simple_loss=0.2562, pruned_loss=0.05991, over 12746.00 frames. utt_duration=2041 frames, utt_pad_proportion=0.1349, over 25.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3445, pruned_loss=0.09813, over 2717124.37 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07181, over 44063.96 utterances.], batch size: 25, lr: 1.58e-04
+2022-09-19 17:20:29,746 INFO [train.py:885] (1/2) Epoch 30, batch 800, loss[loss=0.3992, simple_loss=0.4431, pruned_loss=0.1777, over 14251.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04202, over 225.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3416, pruned_loss=0.09716, over 2737659.88 frames. utt_duration=260 frames, utt_pad_proportion=0.06902, over 42363.64 utterances.], batch size: 225, lr: 1.58e-04
+2022-09-19 17:20:59,501 INFO [train.py:885] (1/2) Epoch 30, batch 850, loss[loss=0.3939, simple_loss=0.4284, pruned_loss=0.1797, over 14246.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04187, over 335.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3424, pruned_loss=0.09784, over 2752796.55 frames. utt_duration=262.1 frames, utt_pad_proportion=0.0658, over 42256.37 utterances.], batch size: 335, lr: 1.58e-04
+2022-09-19 17:21:28,483 INFO [train.py:885] (1/2) Epoch 30, batch 900, loss[loss=0.2889, simple_loss=0.3654, pruned_loss=0.1062, over 14384.00 frames. utt_duration=237.2 frames, utt_pad_proportion=0.03197, over 244.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3421, pruned_loss=0.09716, over 2763442.27 frames. utt_duration=260.1 frames, utt_pad_proportion=0.067, over 42747.92 utterances.], batch size: 244, lr: 1.58e-04
+2022-09-19 17:21:58,836 INFO [train.py:885] (1/2) Epoch 30, batch 950, loss[loss=0.3368, simple_loss=0.4022, pruned_loss=0.1357, over 14346.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03639, over 210.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3434, pruned_loss=0.09735, over 2767217.50 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06762, over 43878.81 utterances.], batch size: 210, lr: 1.58e-04
+2022-09-19 17:22:28,393 INFO [train.py:885] (1/2) Epoch 30, batch 1000, loss[loss=0.2763, simple_loss=0.3778, pruned_loss=0.08742, over 13748.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07328, over 411.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3441, pruned_loss=0.09831, over 2770084.80 frames. utt_duration=252.8 frames, utt_pad_proportion=0.06867, over 44088.43 utterances.], batch size: 411, lr: 1.58e-04
+2022-09-19 17:22:58,747 INFO [train.py:885] (1/2) Epoch 30, batch 1050, loss[loss=0.2878, simple_loss=0.3461, pruned_loss=0.1147, over 14220.00 frames. utt_duration=523.2 frames, utt_pad_proportion=0.04169, over 109.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.344, pruned_loss=0.09796, over 2771273.32 frames. utt_duration=251.1 frames, utt_pad_proportion=0.07075, over 44411.72 utterances.], batch size: 109, lr: 1.58e-04
+2022-09-19 17:23:28,779 INFO [train.py:885] (1/2) Epoch 30, batch 1100, loss[loss=0.3406, simple_loss=0.3951, pruned_loss=0.143, over 14269.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04079, over 225.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3455, pruned_loss=0.09888, over 2773896.80 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07084, over 44919.66 utterances.], batch size: 225, lr: 1.58e-04
+2022-09-19 17:23:59,712 INFO [train.py:885] (1/2) Epoch 30, batch 1150, loss[loss=0.3707, simple_loss=0.4234, pruned_loss=0.159, over 14231.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04273, over 306.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3493, pruned_loss=0.1013, over 2772617.73 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07284, over 46293.04 utterances.], batch size: 306, lr: 1.58e-04
+2022-09-19 17:24:29,769 INFO [train.py:885] (1/2) Epoch 30, batch 1200, loss[loss=0.1694, simple_loss=0.2318, pruned_loss=0.05344, over 13664.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.07958, over 50.00 utterances.], tot_loss[loss=0.2754, simple_loss=0.3488, pruned_loss=0.101, over 2773511.09 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07284, over 46531.79 utterances.], batch size: 50, lr: 1.58e-04
+2022-09-19 17:24:59,808 INFO [train.py:885] (1/2) Epoch 30, batch 1250, loss[loss=0.2751, simple_loss=0.3544, pruned_loss=0.09784, over 14311.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03855, over 180.00 utterances.], tot_loss[loss=0.2771, simple_loss=0.3509, pruned_loss=0.1017, over 2772006.07 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07249, over 47390.11 utterances.], batch size: 180, lr: 1.58e-04
+2022-09-19 17:25:29,487 INFO [train.py:885] (1/2) Epoch 30, batch 1300, loss[loss=0.1943, simple_loss=0.2705, pruned_loss=0.05908, over 13797.00 frames. utt_duration=801.3 frames, utt_pad_proportion=0.06603, over 69.00 utterances.], tot_loss[loss=0.276, simple_loss=0.3506, pruned_loss=0.1007, over 2773843.78 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07247, over 47770.92 utterances.], batch size: 69, lr: 1.58e-04
+2022-09-19 17:25:59,586 INFO [train.py:885] (1/2) Epoch 30, batch 1350, loss[loss=0.2913, simple_loss=0.3629, pruned_loss=0.1098, over 14326.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03829, over 283.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3491, pruned_loss=0.1006, over 2776385.28 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07163, over 47209.84 utterances.], batch size: 283, lr: 1.58e-04
+2022-09-19 17:26:29,011 INFO [train.py:885] (1/2) Epoch 30, batch 1400, loss[loss=0.2608, simple_loss=0.3262, pruned_loss=0.09765, over 14295.00 frames. utt_duration=441.3 frames, utt_pad_proportion=0.03851, over 130.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3448, pruned_loss=0.09813, over 2778027.24 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07092, over 45373.79 utterances.], batch size: 130, lr: 1.58e-04
+2022-09-19 17:26:59,321 INFO [train.py:885] (1/2) Epoch 30, batch 1450, loss[loss=0.2688, simple_loss=0.3436, pruned_loss=0.09702, over 14298.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03876, over 180.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3445, pruned_loss=0.09794, over 2778387.55 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07103, over 45396.58 utterances.], batch size: 180, lr: 1.58e-04
+2022-09-19 17:27:28,863 INFO [train.py:885] (1/2) Epoch 30, batch 1500, loss[loss=0.2231, simple_loss=0.306, pruned_loss=0.07012, over 14268.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04451, over 141.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3452, pruned_loss=0.09807, over 2782236.46 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06967, over 45626.08 utterances.], batch size: 141, lr: 1.58e-04
+2022-09-19 17:27:59,222 INFO [train.py:885] (1/2) Epoch 30, batch 1550, loss[loss=0.259, simple_loss=0.3395, pruned_loss=0.08928, over 14287.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.03955, over 154.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3437, pruned_loss=0.09805, over 2784718.81 frames. utt_duration=252.4 frames, utt_pad_proportion=0.06778, over 44399.32 utterances.], batch size: 154, lr: 1.57e-04
+2022-09-19 17:28:28,534 INFO [train.py:885] (1/2) Epoch 30, batch 1600, loss[loss=0.3188, simple_loss=0.4031, pruned_loss=0.1173, over 14005.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05601, over 365.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3464, pruned_loss=0.09937, over 2782915.27 frames. utt_duration=243.9 frames, utt_pad_proportion=0.06997, over 45919.47 utterances.], batch size: 365, lr: 1.57e-04
+2022-09-19 17:28:59,537 INFO [train.py:885] (1/2) Epoch 30, batch 1650, loss[loss=0.2528, simple_loss=0.3363, pruned_loss=0.0847, over 14307.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03837, over 195.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3456, pruned_loss=0.09905, over 2781347.38 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07185, over 45294.43 utterances.], batch size: 195, lr: 1.57e-04
+2022-09-19 17:29:29,632 INFO [train.py:885] (1/2) Epoch 30, batch 1700, loss[loss=0.2103, simple_loss=0.2831, pruned_loss=0.06869, over 12639.00 frames. utt_duration=2023 frames, utt_pad_proportion=0.1256, over 25.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3471, pruned_loss=0.0994, over 2777548.70 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07383, over 46714.94 utterances.], batch size: 25, lr: 1.57e-04
+2022-09-19 17:29:59,471 INFO [train.py:885] (1/2) Epoch 30, batch 1750, loss[loss=0.2358, simple_loss=0.3072, pruned_loss=0.08223, over 14316.00 frames. utt_duration=442.1 frames, utt_pad_proportion=0.039, over 130.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3437, pruned_loss=0.09836, over 2783822.80 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07046, over 44701.94 utterances.], batch size: 130, lr: 1.57e-04
+2022-09-19 17:30:28,944 INFO [train.py:885] (1/2) Epoch 30, batch 1800, loss[loss=0.1511, simple_loss=0.2299, pruned_loss=0.03613, over 12173.00 frames. utt_duration=2031 frames, utt_pad_proportion=0.1874, over 24.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3442, pruned_loss=0.09833, over 2782060.55 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07079, over 45095.31 utterances.], batch size: 24, lr: 1.57e-04
+2022-09-19 17:30:59,735 INFO [train.py:885] (1/2) Epoch 30, batch 1850, loss[loss=0.2492, simple_loss=0.3264, pruned_loss=0.08602, over 14271.00 frames. utt_duration=318.5 frames, utt_pad_proportion=0.04058, over 180.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3489, pruned_loss=0.09992, over 2778726.72 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07399, over 47822.18 utterances.], batch size: 180, lr: 1.57e-04
+2022-09-19 17:31:29,217 INFO [train.py:885] (1/2) Epoch 30, batch 1900, loss[loss=0.5503, simple_loss=0.6186, pruned_loss=0.241, over 12558.00 frames. utt_duration=63.55 frames, utt_pad_proportion=0.1412, over 810.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3465, pruned_loss=0.09898, over 2782848.06 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07184, over 46530.71 utterances.], batch size: 810, lr: 1.57e-04
+2022-09-19 17:31:59,728 INFO [train.py:885] (1/2) Epoch 30, batch 1950, loss[loss=0.1724, simple_loss=0.2422, pruned_loss=0.05128, over 13419.00 frames. utt_duration=1628 frames, utt_pad_proportion=0.09901, over 33.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3459, pruned_loss=0.09859, over 2781634.55 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07144, over 46509.79 utterances.], batch size: 33, lr: 1.57e-04
+2022-09-19 17:32:29,123 INFO [train.py:885] (1/2) Epoch 30, batch 2000, loss[loss=0.2712, simple_loss=0.378, pruned_loss=0.08215, over 13621.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08164, over 477.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3445, pruned_loss=0.09806, over 2781870.15 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07189, over 45842.54 utterances.], batch size: 477, lr: 1.57e-04
+2022-09-19 17:32:59,755 INFO [train.py:885] (1/2) Epoch 30, batch 2050, loss[loss=0.2718, simple_loss=0.3673, pruned_loss=0.08817, over 13958.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05845, over 365.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3453, pruned_loss=0.09849, over 2780580.92 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07268, over 45756.36 utterances.], batch size: 365, lr: 1.57e-04
+2022-09-19 17:33:29,457 INFO [train.py:885] (1/2) Epoch 30, batch 2100, loss[loss=0.1506, simple_loss=0.2003, pruned_loss=0.05045, over 12300.00 frames. utt_duration=2051 frames, utt_pad_proportion=0.1657, over 24.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3446, pruned_loss=0.09786, over 2781955.65 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07111, over 45523.76 utterances.], batch size: 24, lr: 1.57e-04
+2022-09-19 17:33:59,614 INFO [train.py:885] (1/2) Epoch 30, batch 2150, loss[loss=0.1905, simple_loss=0.2564, pruned_loss=0.06226, over 13754.00 frames. utt_duration=1080 frames, utt_pad_proportion=0.0783, over 51.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3465, pruned_loss=0.09798, over 2782402.70 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07327, over 46515.31 utterances.], batch size: 51, lr: 1.57e-04
+2022-09-19 17:34:29,573 INFO [train.py:885] (1/2) Epoch 30, batch 2200, loss[loss=0.3069, simple_loss=0.4042, pruned_loss=0.1048, over 13653.00 frames. utt_duration=116 frames, utt_pad_proportion=0.0795, over 477.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3484, pruned_loss=0.09865, over 2789706.55 frames. utt_duration=238.7 frames, utt_pad_proportion=0.07064, over 47044.57 utterances.], batch size: 477, lr: 1.57e-04
+2022-09-19 17:34:59,927 INFO [train.py:885] (1/2) Epoch 30, batch 2250, loss[loss=0.3173, simple_loss=0.387, pruned_loss=0.1238, over 14333.00 frames. utt_duration=204 frames, utt_pad_proportion=0.0375, over 283.00 utterances.], tot_loss[loss=0.2729, simple_loss=0.3484, pruned_loss=0.09875, over 2782461.28 frames. utt_duration=237.6 frames, utt_pad_proportion=0.0723, over 47140.01 utterances.], batch size: 283, lr: 1.57e-04
+2022-09-19 17:35:30,093 INFO [train.py:885] (1/2) Epoch 30, batch 2300, loss[loss=0.1663, simple_loss=0.2265, pruned_loss=0.05304, over 13385.00 frames. utt_duration=1307 frames, utt_pad_proportion=0.08727, over 41.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3453, pruned_loss=0.09714, over 2781443.06 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07214, over 46243.99 utterances.], batch size: 41, lr: 1.57e-04
+2022-09-19 17:35:59,924 INFO [train.py:885] (1/2) Epoch 30, batch 2350, loss[loss=0.1937, simple_loss=0.273, pruned_loss=0.0572, over 12948.00 frames. utt_duration=2073 frames, utt_pad_proportion=0.1127, over 25.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.348, pruned_loss=0.09911, over 2780630.42 frames. utt_duration=238.2 frames, utt_pad_proportion=0.0734, over 46976.51 utterances.], batch size: 25, lr: 1.57e-04
+2022-09-19 17:36:29,672 INFO [train.py:885] (1/2) Epoch 30, batch 2400, loss[loss=0.3153, simple_loss=0.4181, pruned_loss=0.1063, over 13709.00 frames. utt_duration=116.5 frames, utt_pad_proportion=0.07579, over 477.00 utterances.], tot_loss[loss=0.2767, simple_loss=0.3512, pruned_loss=0.1011, over 2778456.50 frames. utt_duration=232.5 frames, utt_pad_proportion=0.0748, over 48098.91 utterances.], batch size: 477, lr: 1.57e-04
+2022-09-19 17:36:59,919 INFO [train.py:885] (1/2) Epoch 30, batch 2450, loss[loss=0.3054, simple_loss=0.4113, pruned_loss=0.09972, over 13625.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.07794, over 560.00 utterances.], tot_loss[loss=0.2764, simple_loss=0.3509, pruned_loss=0.101, over 2775887.76 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07566, over 48143.74 utterances.], batch size: 560, lr: 1.57e-04
+2022-09-19 17:37:29,459 INFO [train.py:885] (1/2) Epoch 30, batch 2500, loss[loss=0.4324, simple_loss=0.4551, pruned_loss=0.2049, over 14294.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.04078, over 262.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3492, pruned_loss=0.1006, over 2774545.89 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07501, over 47142.25 utterances.], batch size: 262, lr: 1.57e-04
+2022-09-19 17:37:59,876 INFO [train.py:885] (1/2) Epoch 30, batch 2550, loss[loss=0.3576, simple_loss=0.4077, pruned_loss=0.1538, over 14326.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03805, over 283.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3493, pruned_loss=0.09963, over 2775961.26 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07262, over 47927.06 utterances.], batch size: 283, lr: 1.57e-04
+2022-09-19 17:38:29,228 INFO [train.py:885] (1/2) Epoch 30, batch 2600, loss[loss=0.3099, simple_loss=0.3784, pruned_loss=0.1207, over 14391.00 frames. utt_duration=296.7 frames, utt_pad_proportion=0.03349, over 195.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3467, pruned_loss=0.09927, over 2777558.60 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07222, over 46226.74 utterances.], batch size: 195, lr: 1.57e-04
+2022-09-19 17:38:59,596 INFO [train.py:885] (1/2) Epoch 30, batch 2650, loss[loss=0.2429, simple_loss=0.2969, pruned_loss=0.09451, over 13824.00 frames. utt_duration=802.7 frames, utt_pad_proportion=0.06553, over 69.00 utterances.], tot_loss[loss=0.2748, simple_loss=0.3487, pruned_loss=0.1004, over 2783834.07 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07138, over 46725.05 utterances.], batch size: 69, lr: 1.57e-04
+2022-09-19 17:39:29,857 INFO [train.py:885] (1/2) Epoch 30, batch 2700, loss[loss=0.3805, simple_loss=0.4589, pruned_loss=0.151, over 13596.00 frames. utt_duration=98.49 frames, utt_pad_proportion=0.07951, over 560.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3472, pruned_loss=0.09971, over 2777524.07 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07402, over 46593.17 utterances.], batch size: 560, lr: 1.57e-04
+2022-09-19 17:39:59,287 INFO [train.py:885] (1/2) Epoch 30, batch 2750, loss[loss=0.1976, simple_loss=0.2656, pruned_loss=0.06486, over 13490.00 frames. utt_duration=1081 frames, utt_pad_proportion=0.0874, over 50.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3469, pruned_loss=0.09952, over 2776883.27 frames. utt_duration=241 frames, utt_pad_proportion=0.07212, over 46381.26 utterances.], batch size: 50, lr: 1.57e-04
+2022-09-19 17:40:30,304 INFO [train.py:885] (1/2) Epoch 30, batch 2800, loss[loss=0.1725, simple_loss=0.2393, pruned_loss=0.05282, over 13211.00 frames. utt_duration=1290 frames, utt_pad_proportion=0.09976, over 41.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3465, pruned_loss=0.09927, over 2776524.33 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07242, over 46538.21 utterances.], batch size: 41, lr: 1.57e-04
+2022-09-19 17:41:00,145 INFO [train.py:885] (1/2) Epoch 30, batch 2850, loss[loss=0.3569, simple_loss=0.4406, pruned_loss=0.1366, over 13682.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07745, over 477.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3453, pruned_loss=0.09774, over 2777128.71 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07241, over 46276.29 utterances.], batch size: 477, lr: 1.57e-04
+2022-09-19 17:41:30,458 INFO [train.py:885] (1/2) Epoch 30, batch 2900, loss[loss=0.2614, simple_loss=0.3406, pruned_loss=0.09109, over 14341.00 frames. utt_duration=274.5 frames, utt_pad_proportion=0.03698, over 210.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3448, pruned_loss=0.09849, over 2776830.91 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07198, over 45470.16 utterances.], batch size: 210, lr: 1.57e-04
+2022-09-19 17:41:59,896 INFO [train.py:885] (1/2) Epoch 30, batch 2950, loss[loss=0.2385, simple_loss=0.3123, pruned_loss=0.08238, over 14201.00 frames. utt_duration=404.3 frames, utt_pad_proportion=0.04868, over 141.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3438, pruned_loss=0.09864, over 2777081.86 frames. utt_duration=249.9 frames, utt_pad_proportion=0.07059, over 44713.99 utterances.], batch size: 141, lr: 1.57e-04
+2022-09-19 17:42:29,320 INFO [train.py:885] (1/2) Epoch 30, batch 3000, loss[loss=0.2364, simple_loss=0.2959, pruned_loss=0.0885, over 14103.00 frames. utt_duration=635.3 frames, utt_pad_proportion=0.04891, over 89.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3417, pruned_loss=0.09739, over 2776576.88 frames. utt_duration=253.4 frames, utt_pad_proportion=0.07106, over 44087.36 utterances.], batch size: 89, lr: 1.57e-04
+2022-09-19 17:42:29,321 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 17:42:33,483 INFO [train.py:914] (1/2) Epoch 30, validation: loss=0.1933, simple_loss=0.2747, pruned_loss=0.05601, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 17:43:10,851 INFO [train.py:885] (1/2) Epoch 30, batch 3050, loss[loss=0.2931, simple_loss=0.3646, pruned_loss=0.1108, over 14375.00 frames. utt_duration=296.5 frames, utt_pad_proportion=0.03429, over 195.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3466, pruned_loss=0.09979, over 2775655.99 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07215, over 45981.64 utterances.], batch size: 195, lr: 1.57e-04
+2022-09-19 17:43:40,453 INFO [train.py:885] (1/2) Epoch 30, batch 3100, loss[loss=0.2149, simple_loss=0.294, pruned_loss=0.06785, over 14182.00 frames. utt_duration=639 frames, utt_pad_proportion=0.04774, over 89.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3442, pruned_loss=0.09842, over 2777008.46 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07009, over 45325.11 utterances.], batch size: 89, lr: 1.57e-04
+2022-09-19 17:44:09,862 INFO [train.py:885] (1/2) Epoch 30, batch 3150, loss[loss=0.3355, simple_loss=0.4044, pruned_loss=0.1333, over 14303.00 frames. utt_duration=294.9 frames, utt_pad_proportion=0.03937, over 195.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3442, pruned_loss=0.09835, over 2774602.82 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07325, over 45515.90 utterances.], batch size: 195, lr: 1.57e-04
+2022-09-19 17:44:39,752 INFO [train.py:885] (1/2) Epoch 30, batch 3200, loss[loss=0.2008, simple_loss=0.2758, pruned_loss=0.06289, over 14028.00 frames. utt_duration=711.5 frames, utt_pad_proportion=0.05892, over 79.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3461, pruned_loss=0.09862, over 2773375.21 frames. utt_duration=238 frames, utt_pad_proportion=0.07446, over 46903.22 utterances.], batch size: 79, lr: 1.57e-04
+2022-09-19 17:45:09,378 INFO [train.py:885] (1/2) Epoch 30, batch 3250, loss[loss=0.1643, simple_loss=0.2345, pruned_loss=0.04705, over 13687.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.0771, over 50.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3441, pruned_loss=0.09774, over 2771347.34 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07538, over 46609.76 utterances.], batch size: 50, lr: 1.57e-04
+2022-09-19 17:45:38,710 INFO [train.py:885] (1/2) Epoch 30, batch 3300, loss[loss=0.1768, simple_loss=0.2569, pruned_loss=0.04834, over 13845.00 frames. utt_duration=804.1 frames, utt_pad_proportion=0.06389, over 69.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3419, pruned_loss=0.09708, over 2774459.34 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07329, over 45295.28 utterances.], batch size: 69, lr: 1.57e-04
+2022-09-19 17:46:07,991 INFO [train.py:885] (1/2) Epoch 30, batch 3350, loss[loss=0.2526, simple_loss=0.336, pruned_loss=0.08463, over 14349.00 frames. utt_duration=296 frames, utt_pad_proportion=0.0358, over 195.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3415, pruned_loss=0.09692, over 2776836.79 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07315, over 45170.19 utterances.], batch size: 195, lr: 1.57e-04
+2022-09-19 17:46:38,255 INFO [train.py:885] (1/2) Epoch 30, batch 3400, loss[loss=0.4491, simple_loss=0.5603, pruned_loss=0.1689, over 12404.00 frames. utt_duration=62.86 frames, utt_pad_proportion=0.1505, over 810.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3448, pruned_loss=0.09843, over 2777633.39 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07474, over 46267.85 utterances.], batch size: 810, lr: 1.57e-04
+2022-09-19 17:47:08,398 INFO [train.py:885] (1/2) Epoch 30, batch 3450, loss[loss=0.184, simple_loss=0.2608, pruned_loss=0.05362, over 13590.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08149, over 50.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3448, pruned_loss=0.09763, over 2777986.59 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07467, over 47020.14 utterances.], batch size: 50, lr: 1.57e-04
+2022-09-19 17:47:37,598 INFO [train.py:885] (1/2) Epoch 30, batch 3500, loss[loss=0.352, simple_loss=0.4154, pruned_loss=0.1443, over 14161.00 frames. utt_duration=186.7 frames, utt_pad_proportion=0.04725, over 306.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3423, pruned_loss=0.09735, over 2778613.72 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07352, over 45690.63 utterances.], batch size: 306, lr: 1.57e-04
+2022-09-19 17:48:07,112 INFO [train.py:885] (1/2) Epoch 30, batch 3550, loss[loss=0.2992, simple_loss=0.3654, pruned_loss=0.1165, over 14288.00 frames. utt_duration=318.9 frames, utt_pad_proportion=0.03931, over 180.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3424, pruned_loss=0.09652, over 2779333.93 frames. utt_duration=242 frames, utt_pad_proportion=0.07298, over 46221.83 utterances.], batch size: 180, lr: 1.57e-04
+2022-09-19 17:48:43,592 INFO [train.py:885] (1/2) Epoch 30, batch 3600, loss[loss=0.3149, simple_loss=0.3797, pruned_loss=0.1251, over 14262.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04111, over 180.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3428, pruned_loss=0.09782, over 2776507.33 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07157, over 45514.00 utterances.], batch size: 180, lr: 1.57e-04
+2022-09-19 17:49:13,387 INFO [train.py:885] (1/2) Epoch 30, batch 3650, loss[loss=0.1621, simple_loss=0.2388, pruned_loss=0.04271, over 13437.00 frames. utt_duration=1281 frames, utt_pad_proportion=0.09947, over 42.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3414, pruned_loss=0.09685, over 2773991.56 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07288, over 44997.23 utterances.], batch size: 42, lr: 1.57e-04
+2022-09-19 17:49:42,583 INFO [train.py:885] (1/2) Epoch 30, batch 3700, loss[loss=0.2204, simple_loss=0.2799, pruned_loss=0.0805, over 13967.00 frames. utt_duration=799.8 frames, utt_pad_proportion=0.06456, over 70.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3432, pruned_loss=0.09752, over 2778553.93 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07222, over 45469.43 utterances.], batch size: 70, lr: 1.57e-04
+2022-09-19 17:50:12,361 INFO [train.py:885] (1/2) Epoch 30, batch 3750, loss[loss=0.1534, simple_loss=0.2158, pruned_loss=0.04549, over 13684.00 frames. utt_duration=913.8 frames, utt_pad_proportion=0.07605, over 60.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3469, pruned_loss=0.09897, over 2780869.03 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07266, over 47701.81 utterances.], batch size: 60, lr: 1.57e-04
+2022-09-19 17:50:42,051 INFO [train.py:885] (1/2) Epoch 30, batch 3800, loss[loss=0.2275, simple_loss=0.2982, pruned_loss=0.07835, over 14035.00 frames. utt_duration=712.1 frames, utt_pad_proportion=0.0581, over 79.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3444, pruned_loss=0.0977, over 2780318.60 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07154, over 46023.35 utterances.], batch size: 79, lr: 1.57e-04
+2022-09-19 17:51:11,541 INFO [train.py:885] (1/2) Epoch 30, batch 3850, loss[loss=0.1881, simple_loss=0.2573, pruned_loss=0.05946, over 13916.00 frames. utt_duration=706.1 frames, utt_pad_proportion=0.0648, over 79.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3448, pruned_loss=0.09802, over 2776900.83 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07288, over 46519.33 utterances.], batch size: 79, lr: 1.57e-04
+2022-09-19 17:51:40,752 INFO [train.py:885] (1/2) Epoch 30, batch 3900, loss[loss=0.2953, simple_loss=0.3983, pruned_loss=0.09616, over 13666.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.0787, over 477.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3406, pruned_loss=0.09604, over 2776702.71 frames. utt_duration=248.7 frames, utt_pad_proportion=0.07127, over 44927.09 utterances.], batch size: 477, lr: 1.57e-04
+2022-09-19 17:52:10,786 INFO [train.py:885] (1/2) Epoch 30, batch 3950, loss[loss=0.3093, simple_loss=0.391, pruned_loss=0.1138, over 14010.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05486, over 365.00 utterances.], tot_loss[loss=0.2646, simple_loss=0.3389, pruned_loss=0.09511, over 2776457.76 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07123, over 44290.96 utterances.], batch size: 365, lr: 1.57e-04
+2022-09-19 17:52:40,209 INFO [train.py:885] (1/2) Epoch 30, batch 4000, loss[loss=0.3369, simple_loss=0.4351, pruned_loss=0.1194, over 13641.00 frames. utt_duration=98.84 frames, utt_pad_proportion=0.07625, over 560.00 utterances.], tot_loss[loss=0.2632, simple_loss=0.3384, pruned_loss=0.094, over 2778355.31 frames. utt_duration=250.1 frames, utt_pad_proportion=0.07012, over 44695.87 utterances.], batch size: 560, lr: 1.57e-04
+2022-09-19 17:53:10,065 INFO [train.py:885] (1/2) Epoch 30, batch 4050, loss[loss=0.2876, simple_loss=0.3553, pruned_loss=0.11, over 14364.00 frames. utt_duration=345.4 frames, utt_pad_proportion=0.0378, over 167.00 utterances.], tot_loss[loss=0.2612, simple_loss=0.3362, pruned_loss=0.09312, over 2783814.92 frames. utt_duration=258.3 frames, utt_pad_proportion=0.06733, over 43352.80 utterances.], batch size: 167, lr: 1.57e-04
+2022-09-19 17:53:39,296 INFO [train.py:885] (1/2) Epoch 30, batch 4100, loss[loss=0.2408, simple_loss=0.3294, pruned_loss=0.07607, over 14262.00 frames. utt_duration=372 frames, utt_pad_proportion=0.0437, over 154.00 utterances.], tot_loss[loss=0.2615, simple_loss=0.3368, pruned_loss=0.09309, over 2785263.40 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06822, over 43486.85 utterances.], batch size: 154, lr: 1.57e-04
+2022-09-19 17:54:09,328 INFO [train.py:885] (1/2) Epoch 30, batch 4150, loss[loss=0.4151, simple_loss=0.4484, pruned_loss=0.1909, over 14207.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04408, over 306.00 utterances.], tot_loss[loss=0.2634, simple_loss=0.3376, pruned_loss=0.09454, over 2780099.58 frames. utt_duration=258.4 frames, utt_pad_proportion=0.07039, over 43278.35 utterances.], batch size: 306, lr: 1.57e-04
+2022-09-19 17:54:39,440 INFO [train.py:885] (1/2) Epoch 30, batch 4200, loss[loss=0.313, simple_loss=0.3858, pruned_loss=0.1201, over 14351.00 frames. utt_duration=220.5 frames, utt_pad_proportion=0.03733, over 262.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3403, pruned_loss=0.09592, over 2779184.66 frames. utt_duration=254.1 frames, utt_pad_proportion=0.07169, over 44012.33 utterances.], batch size: 262, lr: 1.57e-04
+2022-09-19 17:55:09,530 INFO [train.py:885] (1/2) Epoch 30, batch 4250, loss[loss=0.1486, simple_loss=0.224, pruned_loss=0.03658, over 13732.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08328, over 42.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3399, pruned_loss=0.0967, over 2774572.06 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07365, over 44176.81 utterances.], batch size: 42, lr: 1.57e-04
+2022-09-19 17:55:38,524 INFO [train.py:885] (1/2) Epoch 30, batch 4300, loss[loss=0.1826, simple_loss=0.2698, pruned_loss=0.04767, over 13941.00 frames. utt_duration=809.8 frames, utt_pad_proportion=0.05733, over 69.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3419, pruned_loss=0.09678, over 2778007.71 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07272, over 45209.28 utterances.], batch size: 69, lr: 1.57e-04
+2022-09-19 17:56:08,489 INFO [train.py:885] (1/2) Epoch 30, batch 4350, loss[loss=0.284, simple_loss=0.3661, pruned_loss=0.1009, over 14342.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03635, over 195.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3417, pruned_loss=0.09675, over 2777095.36 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07352, over 45072.69 utterances.], batch size: 195, lr: 1.57e-04
+2022-09-19 17:56:38,120 INFO [train.py:885] (1/2) Epoch 30, batch 4400, loss[loss=0.2558, simple_loss=0.3621, pruned_loss=0.07469, over 13781.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07121, over 411.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3421, pruned_loss=0.09662, over 2780017.80 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07209, over 44945.22 utterances.], batch size: 411, lr: 1.57e-04
+2022-09-19 17:57:07,438 INFO [train.py:885] (1/2) Epoch 30, batch 4450, loss[loss=0.3288, simple_loss=0.3921, pruned_loss=0.1328, over 14233.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04262, over 306.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3406, pruned_loss=0.09578, over 2784012.84 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06886, over 44047.67 utterances.], batch size: 306, lr: 1.57e-04
+2022-09-19 17:57:37,075 INFO [train.py:885] (1/2) Epoch 30, batch 4500, loss[loss=0.296, simple_loss=0.376, pruned_loss=0.108, over 14280.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03973, over 180.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3417, pruned_loss=0.09648, over 2783738.28 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06939, over 44038.63 utterances.], batch size: 180, lr: 1.57e-04
+2022-09-19 17:58:07,545 INFO [train.py:885] (1/2) Epoch 30, batch 4550, loss[loss=0.1765, simple_loss=0.2523, pruned_loss=0.05036, over 13156.00 frames. utt_duration=2026 frames, utt_pad_proportion=0.09645, over 26.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3425, pruned_loss=0.09714, over 2784902.85 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06889, over 44133.76 utterances.], batch size: 26, lr: 1.57e-04
+2022-09-19 17:58:37,427 INFO [train.py:885] (1/2) Epoch 30, batch 4600, loss[loss=0.2923, simple_loss=0.4015, pruned_loss=0.09154, over 13545.00 frames. utt_duration=98.08 frames, utt_pad_proportion=0.08336, over 560.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3427, pruned_loss=0.09666, over 2784332.92 frames. utt_duration=249.7 frames, utt_pad_proportion=0.07036, over 44868.55 utterances.], batch size: 560, lr: 1.57e-04
+2022-09-19 17:59:07,611 INFO [train.py:885] (1/2) Epoch 30, batch 4650, loss[loss=0.1479, simple_loss=0.2175, pruned_loss=0.03912, over 13299.00 frames. utt_duration=1299 frames, utt_pad_proportion=0.09216, over 41.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3442, pruned_loss=0.09713, over 2784697.49 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07086, over 45693.21 utterances.], batch size: 41, lr: 1.57e-04
+2022-09-19 17:59:37,077 INFO [train.py:885] (1/2) Epoch 30, batch 4700, loss[loss=0.2213, simple_loss=0.2877, pruned_loss=0.07749, over 14053.00 frames. utt_duration=713.1 frames, utt_pad_proportion=0.05681, over 79.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3435, pruned_loss=0.0964, over 2784443.94 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07174, over 45340.51 utterances.], batch size: 79, lr: 1.57e-04
+2022-09-19 18:00:07,651 INFO [train.py:885] (1/2) Epoch 30, batch 4750, loss[loss=0.3405, simple_loss=0.3978, pruned_loss=0.1415, over 14160.00 frames. utt_duration=186.9 frames, utt_pad_proportion=0.04645, over 306.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3432, pruned_loss=0.09637, over 2782825.49 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07165, over 45291.17 utterances.], batch size: 306, lr: 1.57e-04
+2022-09-19 18:00:38,467 INFO [train.py:885] (1/2) Epoch 30, batch 4800, loss[loss=0.216, simple_loss=0.2975, pruned_loss=0.0672, over 14131.00 frames. utt_duration=519.9 frames, utt_pad_proportion=0.04772, over 109.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3443, pruned_loss=0.0971, over 2785873.41 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07072, over 45582.33 utterances.], batch size: 109, lr: 1.57e-04
+2022-09-19 18:01:08,262 INFO [train.py:885] (1/2) Epoch 30, batch 4850, loss[loss=0.1898, simple_loss=0.2538, pruned_loss=0.06294, over 13322.00 frames. utt_duration=1616 frames, utt_pad_proportion=0.1032, over 33.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.345, pruned_loss=0.09783, over 2783218.53 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07033, over 46140.68 utterances.], batch size: 33, lr: 1.57e-04
+2022-09-19 18:01:37,534 INFO [train.py:885] (1/2) Epoch 30, batch 4900, loss[loss=0.321, simple_loss=0.3839, pruned_loss=0.1291, over 14226.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04338, over 306.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3478, pruned_loss=0.09914, over 2779560.60 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07245, over 47489.22 utterances.], batch size: 306, lr: 1.57e-04
+2022-09-19 18:02:07,430 INFO [train.py:885] (1/2) Epoch 30, batch 4950, loss[loss=0.1553, simple_loss=0.2127, pruned_loss=0.04891, over 13544.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08847, over 50.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.348, pruned_loss=0.09852, over 2779062.86 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07341, over 47964.87 utterances.], batch size: 50, lr: 1.57e-04
+2022-09-19 18:02:37,258 INFO [train.py:885] (1/2) Epoch 30, batch 5000, loss[loss=0.3171, simple_loss=0.4187, pruned_loss=0.1077, over 13622.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08198, over 477.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3475, pruned_loss=0.09835, over 2779772.58 frames. utt_duration=235.9 frames, utt_pad_proportion=0.0723, over 47422.51 utterances.], batch size: 477, lr: 1.57e-04
+2022-09-19 18:03:07,863 INFO [train.py:885] (1/2) Epoch 30, batch 5050, loss[loss=0.3015, simple_loss=0.3845, pruned_loss=0.1093, over 13957.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.059, over 365.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3472, pruned_loss=0.09769, over 2775600.37 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07415, over 48341.72 utterances.], batch size: 365, lr: 1.57e-04
+2022-09-19 18:03:38,263 INFO [train.py:885] (1/2) Epoch 30, batch 5100, loss[loss=0.2461, simple_loss=0.3167, pruned_loss=0.08777, over 14328.00 frames. utt_duration=442.2 frames, utt_pad_proportion=0.03655, over 130.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3464, pruned_loss=0.09796, over 2778937.73 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07407, over 47499.70 utterances.], batch size: 130, lr: 1.57e-04
+2022-09-19 18:04:07,791 INFO [train.py:885] (1/2) Epoch 30, batch 5150, loss[loss=0.1787, simple_loss=0.2605, pruned_loss=0.04845, over 14077.00 frames. utt_duration=714.1 frames, utt_pad_proportion=0.05414, over 79.00 utterances.], tot_loss[loss=0.2642, simple_loss=0.3383, pruned_loss=0.09503, over 2779152.18 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07098, over 43864.71 utterances.], batch size: 79, lr: 1.57e-04
+2022-09-19 18:04:37,092 INFO [train.py:885] (1/2) Epoch 30, batch 5200, loss[loss=0.3071, simple_loss=0.3767, pruned_loss=0.1188, over 14243.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.04217, over 306.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3391, pruned_loss=0.09567, over 2780173.35 frames. utt_duration=253.1 frames, utt_pad_proportion=0.07022, over 44196.89 utterances.], batch size: 306, lr: 1.57e-04
+2022-09-19 18:05:07,272 INFO [train.py:885] (1/2) Epoch 30, batch 5250, loss[loss=0.2917, simple_loss=0.3555, pruned_loss=0.114, over 14291.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.03898, over 154.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3414, pruned_loss=0.09778, over 2777534.78 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07341, over 44564.54 utterances.], batch size: 154, lr: 1.57e-04
+2022-09-19 18:05:36,733 INFO [train.py:885] (1/2) Epoch 30, batch 5300, loss[loss=0.2804, simple_loss=0.3583, pruned_loss=0.1012, over 14337.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03765, over 283.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3386, pruned_loss=0.0955, over 2781832.49 frames. utt_duration=254.5 frames, utt_pad_proportion=0.0701, over 43984.56 utterances.], batch size: 283, lr: 1.57e-04
+2022-09-19 18:06:07,323 INFO [train.py:885] (1/2) Epoch 30, batch 5350, loss[loss=0.1748, simple_loss=0.242, pruned_loss=0.05383, over 13611.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08158, over 50.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3402, pruned_loss=0.0961, over 2783854.81 frames. utt_duration=252.5 frames, utt_pad_proportion=0.06817, over 44361.91 utterances.], batch size: 50, lr: 1.57e-04
+2022-09-19 18:06:36,966 INFO [train.py:885] (1/2) Epoch 30, batch 5400, loss[loss=0.2623, simple_loss=0.3515, pruned_loss=0.08654, over 14376.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03213, over 244.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3392, pruned_loss=0.09637, over 2782669.72 frames. utt_duration=256.3 frames, utt_pad_proportion=0.06842, over 43670.96 utterances.], batch size: 244, lr: 1.57e-04
+2022-09-19 18:07:07,241 INFO [train.py:885] (1/2) Epoch 30, batch 5450, loss[loss=0.569, simple_loss=0.6334, pruned_loss=0.2523, over 12498.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1447, over 811.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3402, pruned_loss=0.09666, over 2779411.05 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07077, over 44775.85 utterances.], batch size: 811, lr: 1.57e-04
+2022-09-19 18:07:37,252 INFO [train.py:885] (1/2) Epoch 30, batch 5500, loss[loss=0.4031, simple_loss=0.4437, pruned_loss=0.1812, over 14221.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04379, over 335.00 utterances.], tot_loss[loss=0.2657, simple_loss=0.34, pruned_loss=0.09574, over 2782743.70 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06987, over 44711.58 utterances.], batch size: 335, lr: 1.57e-04
+2022-09-19 18:08:07,296 INFO [train.py:885] (1/2) Epoch 30, batch 5550, loss[loss=0.2572, simple_loss=0.3258, pruned_loss=0.09423, over 14302.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03949, over 120.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3436, pruned_loss=0.0965, over 2777489.05 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07258, over 46691.57 utterances.], batch size: 120, lr: 1.57e-04
+2022-09-19 18:08:37,065 INFO [train.py:885] (1/2) Epoch 30, batch 5600, loss[loss=0.2295, simple_loss=0.3019, pruned_loss=0.0786, over 14161.00 frames. utt_duration=637.8 frames, utt_pad_proportion=0.04952, over 89.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3428, pruned_loss=0.09665, over 2778543.13 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07274, over 45678.42 utterances.], batch size: 89, lr: 1.57e-04
+2022-09-19 18:09:07,866 INFO [train.py:885] (1/2) Epoch 30, batch 5650, loss[loss=0.5779, simple_loss=0.6337, pruned_loss=0.261, over 12497.00 frames. utt_duration=63.17 frames, utt_pad_proportion=0.1463, over 811.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3447, pruned_loss=0.09721, over 2779882.84 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07323, over 46532.40 utterances.], batch size: 811, lr: 1.57e-04
+2022-09-19 18:09:37,540 INFO [train.py:885] (1/2) Epoch 30, batch 5700, loss[loss=0.2984, simple_loss=0.3961, pruned_loss=0.1003, over 13708.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07538, over 411.00 utterances.], tot_loss[loss=0.2635, simple_loss=0.3388, pruned_loss=0.09417, over 2780459.59 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07108, over 44359.86 utterances.], batch size: 411, lr: 1.57e-04
+2022-09-19 18:10:08,105 INFO [train.py:885] (1/2) Epoch 30, batch 5750, loss[loss=0.2049, simple_loss=0.2697, pruned_loss=0.07003, over 14065.00 frames. utt_duration=805 frames, utt_pad_proportion=0.05953, over 70.00 utterances.], tot_loss[loss=0.2623, simple_loss=0.3368, pruned_loss=0.09387, over 2783195.65 frames. utt_duration=263.3 frames, utt_pad_proportion=0.06925, over 42522.67 utterances.], batch size: 70, lr: 1.57e-04
+2022-09-19 18:10:37,916 INFO [train.py:885] (1/2) Epoch 30, batch 5800, loss[loss=0.1748, simple_loss=0.2295, pruned_loss=0.06001, over 13136.00 frames. utt_duration=2022 frames, utt_pad_proportion=0.1037, over 26.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3405, pruned_loss=0.09536, over 2783859.62 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07159, over 44640.00 utterances.], batch size: 26, lr: 1.57e-04
+2022-09-19 18:11:07,828 INFO [train.py:885] (1/2) Epoch 30, batch 5850, loss[loss=0.3207, simple_loss=0.4099, pruned_loss=0.1158, over 13618.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08226, over 477.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3417, pruned_loss=0.09584, over 2789395.04 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07004, over 44406.53 utterances.], batch size: 477, lr: 1.57e-04
+2022-09-19 18:11:43,957 INFO [train.py:885] (1/2) Epoch 30, batch 5900, loss[loss=0.1838, simple_loss=0.2475, pruned_loss=0.06, over 13801.00 frames. utt_duration=801.4 frames, utt_pad_proportion=0.06706, over 69.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3429, pruned_loss=0.09611, over 2786340.93 frames. utt_duration=246.1 frames, utt_pad_proportion=0.071, over 45560.26 utterances.], batch size: 69, lr: 1.57e-04
+2022-09-19 18:12:13,928 INFO [train.py:885] (1/2) Epoch 30, batch 5950, loss[loss=0.1375, simple_loss=0.1947, pruned_loss=0.04019, over 13240.00 frames. utt_duration=2039 frames, utt_pad_proportion=0.09864, over 26.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.34, pruned_loss=0.09519, over 2786238.61 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06868, over 44223.31 utterances.], batch size: 26, lr: 1.57e-04
+2022-09-19 18:12:51,026 INFO [train.py:885] (1/2) Epoch 30, batch 6000, loss[loss=0.3509, simple_loss=0.4134, pruned_loss=0.1442, over 14151.00 frames. utt_duration=186.7 frames, utt_pad_proportion=0.04767, over 306.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3405, pruned_loss=0.09537, over 2784802.02 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07059, over 45168.27 utterances.], batch size: 306, lr: 1.57e-04
+2022-09-19 18:12:51,027 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 18:12:55,278 INFO [train.py:914] (1/2) Epoch 30, validation: loss=0.1869, simple_loss=0.266, pruned_loss=0.05387, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 18:13:26,389 INFO [train.py:885] (1/2) Epoch 30, batch 6050, loss[loss=0.3543, simple_loss=0.4645, pruned_loss=0.1221, over 13104.00 frames. utt_duration=81.84 frames, utt_pad_proportion=0.1104, over 653.00 utterances.], tot_loss[loss=0.2624, simple_loss=0.3377, pruned_loss=0.09358, over 2781450.36 frames. utt_duration=253.3 frames, utt_pad_proportion=0.07223, over 44180.34 utterances.], batch size: 653, lr: 1.57e-04
+2022-09-19 18:13:56,163 INFO [train.py:885] (1/2) Epoch 30, batch 6100, loss[loss=0.2592, simple_loss=0.3456, pruned_loss=0.08641, over 14266.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04094, over 225.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3403, pruned_loss=0.09468, over 2778930.55 frames. utt_duration=249 frames, utt_pad_proportion=0.07161, over 44897.90 utterances.], batch size: 225, lr: 1.57e-04
+2022-09-19 18:14:27,753 INFO [train.py:885] (1/2) Epoch 30, batch 6150, loss[loss=0.272, simple_loss=0.377, pruned_loss=0.08354, over 13813.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06889, over 411.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3434, pruned_loss=0.09663, over 2781684.52 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07061, over 45783.49 utterances.], batch size: 411, lr: 1.57e-04
+2022-09-19 18:14:57,949 INFO [train.py:885] (1/2) Epoch 30, batch 6200, loss[loss=0.3362, simple_loss=0.3948, pruned_loss=0.1388, over 14309.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03958, over 262.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.342, pruned_loss=0.09595, over 2779079.52 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07199, over 45233.79 utterances.], batch size: 262, lr: 1.57e-04
+2022-09-19 18:15:27,687 INFO [train.py:885] (1/2) Epoch 30, batch 6250, loss[loss=0.2906, simple_loss=0.3656, pruned_loss=0.1079, over 14217.00 frames. utt_duration=254.2 frames, utt_pad_proportion=0.04418, over 225.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3408, pruned_loss=0.09607, over 2781524.89 frames. utt_duration=250.5 frames, utt_pad_proportion=0.07093, over 44671.83 utterances.], batch size: 225, lr: 1.56e-04
+2022-09-19 18:15:57,517 INFO [train.py:885] (1/2) Epoch 30, batch 6300, loss[loss=0.2355, simple_loss=0.309, pruned_loss=0.08102, over 14291.00 frames. utt_duration=441.2 frames, utt_pad_proportion=0.04092, over 130.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3428, pruned_loss=0.0973, over 2783279.37 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07004, over 45395.56 utterances.], batch size: 130, lr: 1.56e-04
+2022-09-19 18:16:27,135 INFO [train.py:885] (1/2) Epoch 30, batch 6350, loss[loss=0.2307, simple_loss=0.3134, pruned_loss=0.07402, over 14278.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.04387, over 141.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3419, pruned_loss=0.09684, over 2779245.37 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07145, over 44992.82 utterances.], batch size: 141, lr: 1.56e-04
+2022-09-19 18:16:57,278 INFO [train.py:885] (1/2) Epoch 30, batch 6400, loss[loss=0.2928, simple_loss=0.3632, pruned_loss=0.1112, over 14348.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.0376, over 244.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3455, pruned_loss=0.09864, over 2778613.30 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07114, over 46053.53 utterances.], batch size: 244, lr: 1.56e-04
+2022-09-19 18:17:27,083 INFO [train.py:885] (1/2) Epoch 30, batch 6450, loss[loss=0.2496, simple_loss=0.3346, pruned_loss=0.08229, over 14260.00 frames. utt_duration=405.9 frames, utt_pad_proportion=0.04489, over 141.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.344, pruned_loss=0.09758, over 2779933.07 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07128, over 45579.23 utterances.], batch size: 141, lr: 1.56e-04
+2022-09-19 18:17:57,237 INFO [train.py:885] (1/2) Epoch 30, batch 6500, loss[loss=0.224, simple_loss=0.2997, pruned_loss=0.07417, over 14302.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03971, over 120.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3398, pruned_loss=0.09496, over 2778587.39 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07024, over 44608.17 utterances.], batch size: 120, lr: 1.56e-04
+2022-09-19 18:18:27,001 INFO [train.py:885] (1/2) Epoch 30, batch 6550, loss[loss=0.3344, simple_loss=0.3997, pruned_loss=0.1346, over 14266.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04084, over 225.00 utterances.], tot_loss[loss=0.2631, simple_loss=0.3378, pruned_loss=0.09425, over 2778832.64 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06966, over 43405.37 utterances.], batch size: 225, lr: 1.56e-04
+2022-09-19 18:18:57,093 INFO [train.py:885] (1/2) Epoch 30, batch 6600, loss[loss=0.3657, simple_loss=0.4178, pruned_loss=0.1568, over 14256.00 frames. utt_duration=171.6 frames, utt_pad_proportion=0.04134, over 335.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3425, pruned_loss=0.0976, over 2779066.30 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06934, over 44703.91 utterances.], batch size: 335, lr: 1.56e-04
+2022-09-19 18:19:26,929 INFO [train.py:885] (1/2) Epoch 30, batch 6650, loss[loss=0.247, simple_loss=0.3114, pruned_loss=0.09127, over 14191.00 frames. utt_duration=522.3 frames, utt_pad_proportion=0.04338, over 109.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3467, pruned_loss=0.09988, over 2777533.73 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07118, over 46262.26 utterances.], batch size: 109, lr: 1.56e-04
+2022-09-19 18:19:57,567 INFO [train.py:885] (1/2) Epoch 30, batch 6700, loss[loss=0.2558, simple_loss=0.3384, pruned_loss=0.0866, over 14274.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0407, over 225.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3439, pruned_loss=0.09842, over 2774240.80 frames. utt_duration=244.9 frames, utt_pad_proportion=0.07325, over 45591.92 utterances.], batch size: 225, lr: 1.56e-04
+2022-09-19 18:20:26,752 INFO [train.py:885] (1/2) Epoch 30, batch 6750, loss[loss=0.2749, simple_loss=0.3471, pruned_loss=0.1013, over 14363.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03223, over 244.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3448, pruned_loss=0.09845, over 2773186.83 frames. utt_duration=240 frames, utt_pad_proportion=0.07376, over 46497.84 utterances.], batch size: 244, lr: 1.56e-04
+2022-09-19 18:20:57,039 INFO [train.py:885] (1/2) Epoch 30, batch 6800, loss[loss=0.1674, simple_loss=0.2363, pruned_loss=0.04919, over 13581.00 frames. utt_duration=1326 frames, utt_pad_proportion=0.07257, over 41.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3444, pruned_loss=0.09816, over 2776519.15 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07198, over 46337.84 utterances.], batch size: 41, lr: 1.56e-04
+2022-09-19 18:21:26,562 INFO [train.py:885] (1/2) Epoch 30, batch 6850, loss[loss=0.1846, simple_loss=0.2599, pruned_loss=0.05463, over 13728.00 frames. utt_duration=916.7 frames, utt_pad_proportion=0.07589, over 60.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3475, pruned_loss=0.09925, over 2770253.12 frames. utt_duration=232.9 frames, utt_pad_proportion=0.07495, over 47882.98 utterances.], batch size: 60, lr: 1.56e-04
+2022-09-19 18:21:55,865 INFO [train.py:885] (1/2) Epoch 30, batch 6900, loss[loss=0.3111, simple_loss=0.372, pruned_loss=0.1251, over 14311.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03772, over 130.00 utterances.], tot_loss[loss=0.2755, simple_loss=0.3495, pruned_loss=0.1008, over 2766989.93 frames. utt_duration=230.8 frames, utt_pad_proportion=0.07593, over 48269.89 utterances.], batch size: 130, lr: 1.56e-04
+2022-09-19 18:22:25,802 INFO [train.py:885] (1/2) Epoch 30, batch 6950, loss[loss=0.5633, simple_loss=0.6231, pruned_loss=0.2518, over 12473.00 frames. utt_duration=63.15 frames, utt_pad_proportion=0.1467, over 810.00 utterances.], tot_loss[loss=0.2777, simple_loss=0.3522, pruned_loss=0.1016, over 2765903.98 frames. utt_duration=222.8 frames, utt_pad_proportion=0.07689, over 49996.26 utterances.], batch size: 810, lr: 1.56e-04
+2022-09-19 18:22:55,029 INFO [train.py:885] (1/2) Epoch 30, batch 7000, loss[loss=0.2242, simple_loss=0.2916, pruned_loss=0.07844, over 14073.00 frames. utt_duration=575.8 frames, utt_pad_proportion=0.05295, over 98.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3525, pruned_loss=0.102, over 2775040.88 frames. utt_duration=226.3 frames, utt_pad_proportion=0.0733, over 49374.56 utterances.], batch size: 98, lr: 1.56e-04
+2022-09-19 18:23:24,922 INFO [train.py:885] (1/2) Epoch 30, batch 7050, loss[loss=0.2295, simple_loss=0.3197, pruned_loss=0.06966, over 14337.00 frames. utt_duration=442.7 frames, utt_pad_proportion=0.03771, over 130.00 utterances.], tot_loss[loss=0.2783, simple_loss=0.3528, pruned_loss=0.1019, over 2776647.13 frames. utt_duration=224.6 frames, utt_pad_proportion=0.07451, over 49776.34 utterances.], batch size: 130, lr: 1.56e-04
+2022-09-19 18:23:54,385 INFO [train.py:885] (1/2) Epoch 30, batch 7100, loss[loss=0.3012, simple_loss=0.378, pruned_loss=0.1122, over 14367.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03217, over 244.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3498, pruned_loss=0.1007, over 2780770.57 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07272, over 48291.23 utterances.], batch size: 244, lr: 1.56e-04
+2022-09-19 18:24:23,269 INFO [train.py:885] (1/2) Epoch 30, batch 7150, loss[loss=0.2529, simple_loss=0.3205, pruned_loss=0.09269, over 13511.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08802, over 50.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3483, pruned_loss=0.1005, over 2785935.35 frames. utt_duration=240 frames, utt_pad_proportion=0.06847, over 46725.86 utterances.], batch size: 50, lr: 1.56e-04
+2022-09-19 18:24:53,388 INFO [train.py:885] (1/2) Epoch 30, batch 7200, loss[loss=0.1758, simple_loss=0.2568, pruned_loss=0.0474, over 13865.00 frames. utt_duration=925.7 frames, utt_pad_proportion=0.06965, over 60.00 utterances.], tot_loss[loss=0.2735, simple_loss=0.3471, pruned_loss=0.09997, over 2785761.55 frames. utt_duration=242 frames, utt_pad_proportion=0.06975, over 46319.17 utterances.], batch size: 60, lr: 1.56e-04
+2022-09-19 18:25:23,037 INFO [train.py:885] (1/2) Epoch 30, batch 7250, loss[loss=0.2372, simple_loss=0.3006, pruned_loss=0.08689, over 14011.00 frames. utt_duration=573.3 frames, utt_pad_proportion=0.05864, over 98.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3457, pruned_loss=0.09876, over 2783933.78 frames. utt_duration=243.7 frames, utt_pad_proportion=0.0699, over 45981.05 utterances.], batch size: 98, lr: 1.56e-04
+2022-09-19 18:25:52,194 INFO [train.py:885] (1/2) Epoch 30, batch 7300, loss[loss=0.2022, simple_loss=0.2744, pruned_loss=0.06503, over 14170.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04518, over 109.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3435, pruned_loss=0.09784, over 2780267.77 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07191, over 45701.03 utterances.], batch size: 109, lr: 1.56e-04
+2022-09-19 18:26:22,268 INFO [train.py:885] (1/2) Epoch 30, batch 7350, loss[loss=0.3122, simple_loss=0.3845, pruned_loss=0.1199, over 14319.00 frames. utt_duration=236.2 frames, utt_pad_proportion=0.03972, over 244.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3438, pruned_loss=0.0978, over 2783207.86 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07043, over 45703.88 utterances.], batch size: 244, lr: 1.56e-04
+2022-09-19 18:26:52,082 INFO [train.py:885] (1/2) Epoch 30, batch 7400, loss[loss=0.2406, simple_loss=0.3208, pruned_loss=0.08026, over 14344.00 frames. utt_duration=374.1 frames, utt_pad_proportion=0.03833, over 154.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3444, pruned_loss=0.09881, over 2786775.88 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06949, over 44921.57 utterances.], batch size: 154, lr: 1.56e-04
+2022-09-19 18:27:21,470 INFO [train.py:885] (1/2) Epoch 30, batch 7450, loss[loss=0.269, simple_loss=0.3388, pruned_loss=0.09962, over 14306.00 frames. utt_duration=344 frames, utt_pad_proportion=0.04182, over 167.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.343, pruned_loss=0.09817, over 2789848.83 frames. utt_duration=253.7 frames, utt_pad_proportion=0.06747, over 44242.22 utterances.], batch size: 167, lr: 1.56e-04
+2022-09-19 18:27:51,127 INFO [train.py:885] (1/2) Epoch 30, batch 7500, loss[loss=0.3099, simple_loss=0.3783, pruned_loss=0.1207, over 14333.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03736, over 210.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3449, pruned_loss=0.09892, over 2793541.87 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06685, over 44906.31 utterances.], batch size: 210, lr: 1.56e-04
+2022-09-19 18:28:20,469 INFO [train.py:885] (1/2) Epoch 30, batch 7550, loss[loss=0.1904, simple_loss=0.2602, pruned_loss=0.06027, over 13976.00 frames. utt_duration=800 frames, utt_pad_proportion=0.06547, over 70.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3478, pruned_loss=0.1005, over 2790165.63 frames. utt_duration=245.3 frames, utt_pad_proportion=0.06869, over 45769.35 utterances.], batch size: 70, lr: 1.56e-04
+2022-09-19 18:28:50,388 INFO [train.py:885] (1/2) Epoch 30, batch 7600, loss[loss=0.3113, simple_loss=0.4116, pruned_loss=0.1055, over 13670.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07825, over 477.00 utterances.], tot_loss[loss=0.2746, simple_loss=0.3485, pruned_loss=0.1004, over 2785847.77 frames. utt_duration=239.2 frames, utt_pad_proportion=0.0709, over 46873.94 utterances.], batch size: 477, lr: 1.56e-04
+2022-09-19 18:29:19,540 INFO [train.py:885] (1/2) Epoch 30, batch 7650, loss[loss=0.3385, simple_loss=0.4344, pruned_loss=0.1213, over 13661.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08108, over 478.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3453, pruned_loss=0.09898, over 2789019.16 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06887, over 45516.66 utterances.], batch size: 478, lr: 1.56e-04
+2022-09-19 18:29:49,176 INFO [train.py:885] (1/2) Epoch 30, batch 7700, loss[loss=0.1794, simple_loss=0.2665, pruned_loss=0.04617, over 13994.00 frames. utt_duration=709.8 frames, utt_pad_proportion=0.06116, over 79.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3422, pruned_loss=0.09695, over 2786399.35 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07028, over 44442.81 utterances.], batch size: 79, lr: 1.56e-04
+2022-09-19 18:30:18,775 INFO [train.py:885] (1/2) Epoch 30, batch 7750, loss[loss=0.1841, simple_loss=0.2523, pruned_loss=0.05799, over 13820.00 frames. utt_duration=923 frames, utt_pad_proportion=0.07241, over 60.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3427, pruned_loss=0.09681, over 2782850.67 frames. utt_duration=246.7 frames, utt_pad_proportion=0.0703, over 45390.22 utterances.], batch size: 60, lr: 1.56e-04
+2022-09-19 18:30:48,563 INFO [train.py:885] (1/2) Epoch 30, batch 7800, loss[loss=0.3933, simple_loss=0.4832, pruned_loss=0.1517, over 13146.00 frames. utt_duration=82.12 frames, utt_pad_proportion=0.1074, over 653.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3457, pruned_loss=0.09755, over 2784657.17 frames. utt_duration=237.9 frames, utt_pad_proportion=0.06988, over 47107.69 utterances.], batch size: 653, lr: 1.56e-04
+2022-09-19 18:31:18,201 INFO [train.py:885] (1/2) Epoch 30, batch 7850, loss[loss=0.3058, simple_loss=0.3719, pruned_loss=0.1198, over 14215.00 frames. utt_duration=254.2 frames, utt_pad_proportion=0.04426, over 225.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.344, pruned_loss=0.09748, over 2787343.67 frames. utt_duration=244.8 frames, utt_pad_proportion=0.06935, over 45820.66 utterances.], batch size: 225, lr: 1.56e-04
+2022-09-19 18:31:47,470 INFO [train.py:885] (1/2) Epoch 30, batch 7900, loss[loss=0.1618, simple_loss=0.2276, pruned_loss=0.04797, over 13035.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.1233, over 33.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3395, pruned_loss=0.09577, over 2785272.97 frames. utt_duration=255.6 frames, utt_pad_proportion=0.06884, over 43848.24 utterances.], batch size: 33, lr: 1.56e-04
+2022-09-19 18:32:16,703 INFO [train.py:885] (1/2) Epoch 30, batch 7950, loss[loss=0.2739, simple_loss=0.3442, pruned_loss=0.1018, over 14260.00 frames. utt_duration=405.8 frames, utt_pad_proportion=0.04511, over 141.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3416, pruned_loss=0.09699, over 2786783.61 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06885, over 44794.42 utterances.], batch size: 141, lr: 1.56e-04
+2022-09-19 18:32:46,104 INFO [train.py:885] (1/2) Epoch 30, batch 8000, loss[loss=0.1692, simple_loss=0.2479, pruned_loss=0.0453, over 13843.00 frames. utt_duration=924.2 frames, utt_pad_proportion=0.07019, over 60.00 utterances.], tot_loss[loss=0.2646, simple_loss=0.3386, pruned_loss=0.0953, over 2783775.19 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06966, over 44020.31 utterances.], batch size: 60, lr: 1.56e-04
+2022-09-19 18:33:16,196 INFO [train.py:885] (1/2) Epoch 30, batch 8050, loss[loss=0.294, simple_loss=0.3677, pruned_loss=0.1102, over 14295.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03891, over 225.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3429, pruned_loss=0.09719, over 2783017.44 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07057, over 45357.66 utterances.], batch size: 225, lr: 1.56e-04
+2022-09-19 18:33:46,169 INFO [train.py:885] (1/2) Epoch 30, batch 8100, loss[loss=0.2271, simple_loss=0.3036, pruned_loss=0.07525, over 14124.00 frames. utt_duration=636.2 frames, utt_pad_proportion=0.05183, over 89.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3442, pruned_loss=0.09817, over 2784969.44 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07031, over 45983.97 utterances.], batch size: 89, lr: 1.56e-04
+2022-09-19 18:34:15,430 INFO [train.py:885] (1/2) Epoch 30, batch 8150, loss[loss=0.3267, simple_loss=0.3855, pruned_loss=0.134, over 14336.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03792, over 262.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3441, pruned_loss=0.09829, over 2788378.41 frames. utt_duration=246.4 frames, utt_pad_proportion=0.06925, over 45538.30 utterances.], batch size: 262, lr: 1.56e-04
+2022-09-19 18:34:45,129 INFO [train.py:885] (1/2) Epoch 30, batch 8200, loss[loss=0.1796, simple_loss=0.2561, pruned_loss=0.05152, over 13678.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.07993, over 50.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3425, pruned_loss=0.09648, over 2786778.72 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06997, over 45243.96 utterances.], batch size: 50, lr: 1.56e-04
+2022-09-19 18:35:15,264 INFO [train.py:885] (1/2) Epoch 30, batch 8250, loss[loss=0.5287, simple_loss=0.5868, pruned_loss=0.2353, over 13180.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.106, over 653.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3478, pruned_loss=0.09918, over 2786805.33 frames. utt_duration=240.1 frames, utt_pad_proportion=0.0702, over 46710.90 utterances.], batch size: 653, lr: 1.56e-04
+2022-09-19 18:35:44,318 INFO [train.py:885] (1/2) Epoch 30, batch 8300, loss[loss=0.1862, simple_loss=0.2544, pruned_loss=0.05896, over 13787.00 frames. utt_duration=920.4 frames, utt_pad_proportion=0.07403, over 60.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3455, pruned_loss=0.09856, over 2787451.91 frames. utt_duration=246 frames, utt_pad_proportion=0.06845, over 45605.42 utterances.], batch size: 60, lr: 1.56e-04
+2022-09-19 18:36:13,558 INFO [train.py:885] (1/2) Epoch 30, batch 8350, loss[loss=0.1438, simple_loss=0.2146, pruned_loss=0.03652, over 13307.00 frames. utt_duration=1066 frames, utt_pad_proportion=0.1041, over 50.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3417, pruned_loss=0.09745, over 2786344.80 frames. utt_duration=254.4 frames, utt_pad_proportion=0.0677, over 44067.41 utterances.], batch size: 50, lr: 1.56e-04
+2022-09-19 18:36:43,721 INFO [train.py:885] (1/2) Epoch 30, batch 8400, loss[loss=0.3776, simple_loss=0.4705, pruned_loss=0.1423, over 13174.00 frames. utt_duration=82.19 frames, utt_pad_proportion=0.1067, over 653.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3431, pruned_loss=0.09768, over 2784980.93 frames. utt_duration=250.1 frames, utt_pad_proportion=0.06944, over 44799.73 utterances.], batch size: 653, lr: 1.56e-04
+2022-09-19 18:37:13,335 INFO [train.py:885] (1/2) Epoch 30, batch 8450, loss[loss=0.4137, simple_loss=0.5007, pruned_loss=0.1633, over 13168.00 frames. utt_duration=82.17 frames, utt_pad_proportion=0.1069, over 653.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3426, pruned_loss=0.09683, over 2780490.05 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07278, over 45262.75 utterances.], batch size: 653, lr: 1.56e-04
+2022-09-19 18:37:42,693 INFO [train.py:885] (1/2) Epoch 30, batch 8500, loss[loss=0.3098, simple_loss=0.3687, pruned_loss=0.1255, over 14326.00 frames. utt_duration=295.3 frames, utt_pad_proportion=0.03825, over 195.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3439, pruned_loss=0.09817, over 2784391.76 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07094, over 45230.03 utterances.], batch size: 195, lr: 1.56e-04
+2022-09-19 18:38:12,863 INFO [train.py:885] (1/2) Epoch 30, batch 8550, loss[loss=0.2806, simple_loss=0.3629, pruned_loss=0.09921, over 14357.00 frames. utt_duration=220.6 frames, utt_pad_proportion=0.0366, over 262.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3465, pruned_loss=0.09947, over 2786270.81 frames. utt_duration=243 frames, utt_pad_proportion=0.06926, over 46140.19 utterances.], batch size: 262, lr: 1.56e-04
+2022-09-19 18:38:49,691 INFO [train.py:885] (1/2) Epoch 30, batch 8600, loss[loss=0.2004, simple_loss=0.2758, pruned_loss=0.06248, over 14183.00 frames. utt_duration=638.9 frames, utt_pad_proportion=0.04786, over 89.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3465, pruned_loss=0.09959, over 2784900.98 frames. utt_duration=243.2 frames, utt_pad_proportion=0.06979, over 46073.92 utterances.], batch size: 89, lr: 1.56e-04
+2022-09-19 18:39:18,931 INFO [train.py:885] (1/2) Epoch 30, batch 8650, loss[loss=0.2856, simple_loss=0.3393, pruned_loss=0.1159, over 14160.00 frames. utt_duration=521.2 frames, utt_pad_proportion=0.04538, over 109.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3459, pruned_loss=0.0995, over 2783335.61 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07028, over 46169.68 utterances.], batch size: 109, lr: 1.56e-04
+2022-09-19 18:39:48,664 INFO [train.py:885] (1/2) Epoch 30, batch 8700, loss[loss=0.246, simple_loss=0.3291, pruned_loss=0.08143, over 14281.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03973, over 180.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3431, pruned_loss=0.09776, over 2783219.24 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06924, over 44488.30 utterances.], batch size: 180, lr: 1.56e-04
+2022-09-19 18:40:18,688 INFO [train.py:885] (1/2) Epoch 30, batch 8750, loss[loss=0.2399, simple_loss=0.3262, pruned_loss=0.07676, over 14337.00 frames. utt_duration=344.9 frames, utt_pad_proportion=0.03926, over 167.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3429, pruned_loss=0.09769, over 2787247.80 frames. utt_duration=254.9 frames, utt_pad_proportion=0.06797, over 43989.10 utterances.], batch size: 167, lr: 1.56e-04
+2022-09-19 18:40:47,432 INFO [train.py:885] (1/2) Epoch 30, batch 8800, loss[loss=0.148, simple_loss=0.2136, pruned_loss=0.04119, over 13541.00 frames. utt_duration=1643 frames, utt_pad_proportion=0.09047, over 33.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.3382, pruned_loss=0.09529, over 2786480.38 frames. utt_duration=262.5 frames, utt_pad_proportion=0.0668, over 42707.84 utterances.], batch size: 33, lr: 1.56e-04
+2022-09-19 18:41:17,736 INFO [train.py:885] (1/2) Epoch 30, batch 8850, loss[loss=0.3087, simple_loss=0.3812, pruned_loss=0.1181, over 14222.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04305, over 306.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3424, pruned_loss=0.0969, over 2779213.59 frames. utt_duration=248 frames, utt_pad_proportion=0.07139, over 45097.06 utterances.], batch size: 306, lr: 1.56e-04
+2022-09-19 18:41:46,824 INFO [train.py:885] (1/2) Epoch 30, batch 8900, loss[loss=0.372, simple_loss=0.4244, pruned_loss=0.1598, over 14232.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04353, over 335.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3429, pruned_loss=0.09708, over 2778006.34 frames. utt_duration=246.9 frames, utt_pad_proportion=0.0713, over 45274.16 utterances.], batch size: 335, lr: 1.56e-04
+2022-09-19 18:42:16,407 INFO [train.py:885] (1/2) Epoch 30, batch 8950, loss[loss=0.2128, simple_loss=0.2947, pruned_loss=0.06547, over 14318.00 frames. utt_duration=478.8 frames, utt_pad_proportion=0.03862, over 120.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3407, pruned_loss=0.09539, over 2781403.29 frames. utt_duration=251 frames, utt_pad_proportion=0.07056, over 44585.25 utterances.], batch size: 120, lr: 1.56e-04
+2022-09-19 18:42:45,908 INFO [train.py:885] (1/2) Epoch 30, batch 9000, loss[loss=0.2643, simple_loss=0.3446, pruned_loss=0.09201, over 14337.00 frames. utt_duration=374 frames, utt_pad_proportion=0.03863, over 154.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3415, pruned_loss=0.09562, over 2781433.81 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07069, over 44652.26 utterances.], batch size: 154, lr: 1.56e-04
+2022-09-19 18:42:45,909 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 18:42:50,126 INFO [train.py:914] (1/2) Epoch 30, validation: loss=0.1863, simple_loss=0.2664, pruned_loss=0.05311, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 18:43:19,452 INFO [train.py:885] (1/2) Epoch 30, batch 9050, loss[loss=0.3682, simple_loss=0.4371, pruned_loss=0.1496, over 13949.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.0584, over 365.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3418, pruned_loss=0.0959, over 2780164.53 frames. utt_duration=250.2 frames, utt_pad_proportion=0.07088, over 44707.66 utterances.], batch size: 365, lr: 1.56e-04
+2022-09-19 18:43:49,080 INFO [train.py:885] (1/2) Epoch 30, batch 9100, loss[loss=0.2831, simple_loss=0.3774, pruned_loss=0.09443, over 13955.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05902, over 365.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3422, pruned_loss=0.09658, over 2774079.30 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07297, over 44803.16 utterances.], batch size: 365, lr: 1.56e-04
+2022-09-19 18:44:18,953 INFO [train.py:885] (1/2) Epoch 30, batch 9150, loss[loss=0.3769, simple_loss=0.4236, pruned_loss=0.1651, over 14356.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03527, over 210.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3459, pruned_loss=0.09846, over 2775206.36 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07223, over 46045.63 utterances.], batch size: 210, lr: 1.56e-04
+2022-09-19 18:44:48,555 INFO [train.py:885] (1/2) Epoch 30, batch 9200, loss[loss=0.2794, simple_loss=0.3505, pruned_loss=0.1042, over 14321.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03907, over 262.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3458, pruned_loss=0.09813, over 2780830.25 frames. utt_duration=240.6 frames, utt_pad_proportion=0.07043, over 46512.36 utterances.], batch size: 262, lr: 1.56e-04
+2022-09-19 18:45:18,184 INFO [train.py:885] (1/2) Epoch 30, batch 9250, loss[loss=0.2389, simple_loss=0.3209, pruned_loss=0.0784, over 14293.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.0414, over 154.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.346, pruned_loss=0.09827, over 2780810.54 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07155, over 47002.73 utterances.], batch size: 154, lr: 1.56e-04
+2022-09-19 18:45:47,938 INFO [train.py:885] (1/2) Epoch 30, batch 9300, loss[loss=0.4875, simple_loss=0.5794, pruned_loss=0.1978, over 12459.00 frames. utt_duration=63.16 frames, utt_pad_proportion=0.1465, over 810.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3454, pruned_loss=0.09819, over 2781654.23 frames. utt_duration=239.6 frames, utt_pad_proportion=0.0719, over 46734.92 utterances.], batch size: 810, lr: 1.56e-04
+2022-09-19 18:46:17,060 INFO [train.py:885] (1/2) Epoch 30, batch 9350, loss[loss=0.2041, simple_loss=0.2749, pruned_loss=0.06666, over 14052.00 frames. utt_duration=804.6 frames, utt_pad_proportion=0.05895, over 70.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.343, pruned_loss=0.09723, over 2783212.21 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07089, over 45319.07 utterances.], batch size: 70, lr: 1.56e-04
+2022-09-19 18:46:46,715 INFO [train.py:885] (1/2) Epoch 30, batch 9400, loss[loss=0.2705, simple_loss=0.3291, pruned_loss=0.106, over 14093.00 frames. utt_duration=576.6 frames, utt_pad_proportion=0.05318, over 98.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.345, pruned_loss=0.0983, over 2785059.56 frames. utt_duration=243.8 frames, utt_pad_proportion=0.07154, over 45969.18 utterances.], batch size: 98, lr: 1.56e-04
+2022-09-19 18:47:16,290 INFO [train.py:885] (1/2) Epoch 30, batch 9450, loss[loss=0.1675, simple_loss=0.2371, pruned_loss=0.0489, over 13254.00 frames. utt_duration=1295 frames, utt_pad_proportion=0.09596, over 41.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3466, pruned_loss=0.09892, over 2781178.57 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07275, over 46803.37 utterances.], batch size: 41, lr: 1.56e-04
+2022-09-19 18:47:46,102 INFO [train.py:885] (1/2) Epoch 30, batch 9500, loss[loss=0.1815, simple_loss=0.2595, pruned_loss=0.05177, over 13533.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08655, over 50.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3493, pruned_loss=0.1005, over 2777951.67 frames. utt_duration=234.4 frames, utt_pad_proportion=0.07516, over 47712.90 utterances.], batch size: 50, lr: 1.56e-04
+2022-09-19 18:48:15,487 INFO [train.py:885] (1/2) Epoch 30, batch 9550, loss[loss=0.1832, simple_loss=0.2577, pruned_loss=0.05432, over 13839.00 frames. utt_duration=803.9 frames, utt_pad_proportion=0.06311, over 69.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3443, pruned_loss=0.09767, over 2775802.72 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07341, over 46050.09 utterances.], batch size: 69, lr: 1.56e-04
+2022-09-19 18:48:45,318 INFO [train.py:885] (1/2) Epoch 30, batch 9600, loss[loss=0.1636, simple_loss=0.2321, pruned_loss=0.04759, over 13410.00 frames. utt_duration=1310 frames, utt_pad_proportion=0.08459, over 41.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3449, pruned_loss=0.09845, over 2773632.18 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07403, over 46479.93 utterances.], batch size: 41, lr: 1.56e-04
+2022-09-19 18:49:15,221 INFO [train.py:885] (1/2) Epoch 30, batch 9650, loss[loss=0.3569, simple_loss=0.4421, pruned_loss=0.1359, over 13596.00 frames. utt_duration=98.51 frames, utt_pad_proportion=0.07937, over 560.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3441, pruned_loss=0.09795, over 2772164.45 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07555, over 46898.55 utterances.], batch size: 560, lr: 1.56e-04
+2022-09-19 18:49:44,845 INFO [train.py:885] (1/2) Epoch 30, batch 9700, loss[loss=0.1464, simple_loss=0.2031, pruned_loss=0.04478, over 13433.00 frames. utt_duration=1630 frames, utt_pad_proportion=0.08631, over 33.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.345, pruned_loss=0.09818, over 2774420.15 frames. utt_duration=238.3 frames, utt_pad_proportion=0.07564, over 46861.38 utterances.], batch size: 33, lr: 1.56e-04
+2022-09-19 18:50:14,247 INFO [train.py:885] (1/2) Epoch 30, batch 9750, loss[loss=0.2579, simple_loss=0.349, pruned_loss=0.08342, over 14318.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03863, over 262.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3458, pruned_loss=0.09856, over 2776272.78 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07385, over 46970.89 utterances.], batch size: 262, lr: 1.56e-04
+2022-09-19 18:50:44,362 INFO [train.py:885] (1/2) Epoch 30, batch 9800, loss[loss=0.1722, simple_loss=0.2533, pruned_loss=0.04557, over 14073.00 frames. utt_duration=714.2 frames, utt_pad_proportion=0.0541, over 79.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3471, pruned_loss=0.09946, over 2772469.14 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07592, over 48084.19 utterances.], batch size: 79, lr: 1.56e-04
+2022-09-19 18:51:13,159 INFO [train.py:885] (1/2) Epoch 30, batch 9850, loss[loss=0.1996, simple_loss=0.2693, pruned_loss=0.06499, over 14123.00 frames. utt_duration=578 frames, utt_pad_proportion=0.05094, over 98.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3461, pruned_loss=0.09945, over 2773497.59 frames. utt_duration=237.7 frames, utt_pad_proportion=0.0755, over 46955.30 utterances.], batch size: 98, lr: 1.56e-04
+2022-09-19 18:51:42,593 INFO [train.py:885] (1/2) Epoch 30, batch 9900, loss[loss=0.3756, simple_loss=0.4257, pruned_loss=0.1628, over 14231.00 frames. utt_duration=187.7 frames, utt_pad_proportion=0.0425, over 306.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3472, pruned_loss=0.09933, over 2773057.77 frames. utt_duration=235.4 frames, utt_pad_proportion=0.07544, over 47410.50 utterances.], batch size: 306, lr: 1.56e-04
+2022-09-19 18:52:13,205 INFO [train.py:885] (1/2) Epoch 30, batch 9950, loss[loss=0.2812, simple_loss=0.3565, pruned_loss=0.1029, over 14374.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03244, over 244.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.3462, pruned_loss=0.09939, over 2776204.97 frames. utt_duration=242 frames, utt_pad_proportion=0.07366, over 46162.65 utterances.], batch size: 244, lr: 1.56e-04
+2022-09-19 18:52:42,895 INFO [train.py:885] (1/2) Epoch 30, batch 10000, loss[loss=0.3274, simple_loss=0.3929, pruned_loss=0.131, over 14211.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04328, over 306.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.349, pruned_loss=0.1012, over 2780235.91 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07324, over 47081.64 utterances.], batch size: 306, lr: 1.56e-04
+2022-09-19 18:53:12,706 INFO [train.py:885] (1/2) Epoch 30, batch 10050, loss[loss=0.198, simple_loss=0.2717, pruned_loss=0.0622, over 13885.00 frames. utt_duration=806.4 frames, utt_pad_proportion=0.06119, over 69.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3525, pruned_loss=0.1016, over 2781140.67 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07449, over 48312.28 utterances.], batch size: 69, lr: 1.56e-04
+2022-09-19 18:53:42,505 INFO [train.py:885] (1/2) Epoch 30, batch 10100, loss[loss=0.2763, simple_loss=0.3489, pruned_loss=0.1019, over 14318.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03895, over 262.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3505, pruned_loss=0.1012, over 2783757.61 frames. utt_duration=239 frames, utt_pad_proportion=0.07081, over 46888.46 utterances.], batch size: 262, lr: 1.56e-04
+2022-09-19 18:54:12,612 INFO [train.py:885] (1/2) Epoch 30, batch 10150, loss[loss=0.4575, simple_loss=0.5684, pruned_loss=0.1733, over 12415.00 frames. utt_duration=62.86 frames, utt_pad_proportion=0.1506, over 810.00 utterances.], tot_loss[loss=0.2745, simple_loss=0.3496, pruned_loss=0.09972, over 2776884.89 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07354, over 47511.21 utterances.], batch size: 810, lr: 1.56e-04
+2022-09-19 18:54:41,829 INFO [train.py:885] (1/2) Epoch 30, batch 10200, loss[loss=0.3732, simple_loss=0.4217, pruned_loss=0.1623, over 14231.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04284, over 335.00 utterances.], tot_loss[loss=0.2778, simple_loss=0.3531, pruned_loss=0.1013, over 2779967.84 frames. utt_duration=227.2 frames, utt_pad_proportion=0.07413, over 49254.92 utterances.], batch size: 335, lr: 1.56e-04
+2022-09-19 18:55:11,564 INFO [train.py:885] (1/2) Epoch 30, batch 10250, loss[loss=0.295, simple_loss=0.36, pruned_loss=0.115, over 14252.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.04201, over 225.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3499, pruned_loss=0.1003, over 2782218.26 frames. utt_duration=235.9 frames, utt_pad_proportion=0.073, over 47472.34 utterances.], batch size: 225, lr: 1.56e-04
+2022-09-19 18:55:40,832 INFO [train.py:885] (1/2) Epoch 30, batch 10300, loss[loss=0.2854, simple_loss=0.3539, pruned_loss=0.1084, over 14283.00 frames. utt_duration=406.7 frames, utt_pad_proportion=0.04317, over 141.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3454, pruned_loss=0.09825, over 2780540.70 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07267, over 45615.97 utterances.], batch size: 141, lr: 1.56e-04
+2022-09-19 18:56:10,532 INFO [train.py:885] (1/2) Epoch 30, batch 10350, loss[loss=0.1951, simple_loss=0.2709, pruned_loss=0.05964, over 13791.00 frames. utt_duration=801.4 frames, utt_pad_proportion=0.06594, over 69.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3432, pruned_loss=0.09657, over 2778348.40 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07273, over 45394.37 utterances.], batch size: 69, lr: 1.56e-04
+2022-09-19 18:56:39,907 INFO [train.py:885] (1/2) Epoch 30, batch 10400, loss[loss=0.2466, simple_loss=0.3253, pruned_loss=0.08395, over 14284.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.03935, over 130.00 utterances.], tot_loss[loss=0.2657, simple_loss=0.3403, pruned_loss=0.09553, over 2783081.99 frames. utt_duration=254.6 frames, utt_pad_proportion=0.0705, over 43971.39 utterances.], batch size: 130, lr: 1.56e-04
+2022-09-19 18:57:09,900 INFO [train.py:885] (1/2) Epoch 30, batch 10450, loss[loss=0.2531, simple_loss=0.3385, pruned_loss=0.08386, over 14348.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03456, over 244.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3447, pruned_loss=0.0977, over 2783229.18 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07148, over 46162.24 utterances.], batch size: 244, lr: 1.56e-04
+2022-09-19 18:57:38,869 INFO [train.py:885] (1/2) Epoch 30, batch 10500, loss[loss=0.2951, simple_loss=0.3647, pruned_loss=0.1128, over 14223.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04283, over 306.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3456, pruned_loss=0.09789, over 2785429.65 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07083, over 46647.24 utterances.], batch size: 306, lr: 1.56e-04
+2022-09-19 18:58:08,195 INFO [train.py:885] (1/2) Epoch 30, batch 10550, loss[loss=0.3054, simple_loss=0.372, pruned_loss=0.1194, over 14211.00 frames. utt_duration=404.5 frames, utt_pad_proportion=0.04813, over 141.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.3397, pruned_loss=0.09551, over 2784134.64 frames. utt_duration=256 frames, utt_pad_proportion=0.06945, over 43753.14 utterances.], batch size: 141, lr: 1.56e-04
+2022-09-19 18:58:38,600 INFO [train.py:885] (1/2) Epoch 30, batch 10600, loss[loss=0.2597, simple_loss=0.3368, pruned_loss=0.09127, over 14269.00 frames. utt_duration=372.1 frames, utt_pad_proportion=0.04345, over 154.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3407, pruned_loss=0.0963, over 2783131.01 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06899, over 44169.31 utterances.], batch size: 154, lr: 1.56e-04
+2022-09-19 18:59:07,201 INFO [train.py:885] (1/2) Epoch 30, batch 10650, loss[loss=0.3711, simple_loss=0.4205, pruned_loss=0.1608, over 14237.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04256, over 335.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3401, pruned_loss=0.09704, over 2780068.81 frames. utt_duration=257.7 frames, utt_pad_proportion=0.06898, over 43391.84 utterances.], batch size: 335, lr: 1.56e-04
+2022-09-19 18:59:37,859 INFO [train.py:885] (1/2) Epoch 30, batch 10700, loss[loss=0.3275, simple_loss=0.4053, pruned_loss=0.1249, over 13965.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05875, over 365.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3425, pruned_loss=0.09698, over 2778188.80 frames. utt_duration=248 frames, utt_pad_proportion=0.07123, over 45067.87 utterances.], batch size: 365, lr: 1.56e-04
+2022-09-19 19:00:06,983 INFO [train.py:885] (1/2) Epoch 30, batch 10750, loss[loss=0.1594, simple_loss=0.2372, pruned_loss=0.04085, over 13217.00 frames. utt_duration=1603 frames, utt_pad_proportion=0.1136, over 33.00 utterances.], tot_loss[loss=0.2639, simple_loss=0.338, pruned_loss=0.09485, over 2778781.19 frames. utt_duration=257.3 frames, utt_pad_proportion=0.07158, over 43449.13 utterances.], batch size: 33, lr: 1.56e-04
+2022-09-19 19:00:36,184 INFO [train.py:885] (1/2) Epoch 30, batch 10800, loss[loss=0.2547, simple_loss=0.3454, pruned_loss=0.08203, over 14307.00 frames. utt_duration=255.8 frames, utt_pad_proportion=0.03845, over 225.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3403, pruned_loss=0.09564, over 2781632.19 frames. utt_duration=253 frames, utt_pad_proportion=0.07023, over 44241.71 utterances.], batch size: 225, lr: 1.56e-04
+2022-09-19 19:01:06,306 INFO [train.py:885] (1/2) Epoch 30, batch 10850, loss[loss=0.1979, simple_loss=0.2829, pruned_loss=0.05648, over 14057.00 frames. utt_duration=713.4 frames, utt_pad_proportion=0.05257, over 79.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3448, pruned_loss=0.09812, over 2777188.59 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07353, over 46125.01 utterances.], batch size: 79, lr: 1.56e-04
+2022-09-19 19:01:35,992 INFO [train.py:885] (1/2) Epoch 30, batch 10900, loss[loss=0.3169, simple_loss=0.3808, pruned_loss=0.1265, over 14330.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03762, over 283.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.341, pruned_loss=0.09626, over 2781532.82 frames. utt_duration=253.2 frames, utt_pad_proportion=0.07001, over 44201.14 utterances.], batch size: 283, lr: 1.56e-04
+2022-09-19 19:02:05,538 INFO [train.py:885] (1/2) Epoch 30, batch 10950, loss[loss=0.225, simple_loss=0.3135, pruned_loss=0.06824, over 14308.00 frames. utt_duration=478.3 frames, utt_pad_proportion=0.03951, over 120.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3425, pruned_loss=0.09631, over 2783779.81 frames. utt_duration=248 frames, utt_pad_proportion=0.07051, over 45162.48 utterances.], batch size: 120, lr: 1.56e-04
+2022-09-19 19:02:34,731 INFO [train.py:885] (1/2) Epoch 30, batch 11000, loss[loss=0.271, simple_loss=0.3535, pruned_loss=0.09427, over 14291.00 frames. utt_duration=294.7 frames, utt_pad_proportion=0.03997, over 195.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3423, pruned_loss=0.09586, over 2781840.43 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07007, over 45309.33 utterances.], batch size: 195, lr: 1.56e-04
+2022-09-19 19:03:04,733 INFO [train.py:885] (1/2) Epoch 30, batch 11050, loss[loss=0.371, simple_loss=0.4231, pruned_loss=0.1594, over 14301.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03867, over 180.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3419, pruned_loss=0.09529, over 2782054.91 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06954, over 45002.63 utterances.], batch size: 180, lr: 1.55e-04
+2022-09-19 19:03:34,391 INFO [train.py:885] (1/2) Epoch 30, batch 11100, loss[loss=0.5843, simple_loss=0.651, pruned_loss=0.2588, over 12595.00 frames. utt_duration=63.74 frames, utt_pad_proportion=0.1386, over 810.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3443, pruned_loss=0.09683, over 2783350.22 frames. utt_duration=242.9 frames, utt_pad_proportion=0.07013, over 46113.22 utterances.], batch size: 810, lr: 1.55e-04
+2022-09-19 19:04:03,349 INFO [train.py:885] (1/2) Epoch 30, batch 11150, loss[loss=0.2077, simple_loss=0.2846, pruned_loss=0.06545, over 14219.00 frames. utt_duration=640.3 frames, utt_pad_proportion=0.04139, over 89.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3424, pruned_loss=0.09566, over 2786557.32 frames. utt_duration=248 frames, utt_pad_proportion=0.0685, over 45218.65 utterances.], batch size: 89, lr: 1.55e-04
+2022-09-19 19:04:33,127 INFO [train.py:885] (1/2) Epoch 30, batch 11200, loss[loss=0.2986, simple_loss=0.358, pruned_loss=0.1196, over 14288.00 frames. utt_duration=477.6 frames, utt_pad_proportion=0.04103, over 120.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3434, pruned_loss=0.09589, over 2784265.70 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07107, over 46144.13 utterances.], batch size: 120, lr: 1.55e-04
+2022-09-19 19:05:03,526 INFO [train.py:885] (1/2) Epoch 30, batch 11250, loss[loss=0.3074, simple_loss=0.4065, pruned_loss=0.1042, over 13669.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07797, over 477.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3443, pruned_loss=0.09604, over 2777968.06 frames. utt_duration=239 frames, utt_pad_proportion=0.07313, over 46781.86 utterances.], batch size: 477, lr: 1.55e-04
+2022-09-19 19:05:32,788 INFO [train.py:885] (1/2) Epoch 30, batch 11300, loss[loss=0.1877, simple_loss=0.2364, pruned_loss=0.06946, over 12934.00 frames. utt_duration=2071 frames, utt_pad_proportion=0.1293, over 25.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3427, pruned_loss=0.09578, over 2780161.73 frames. utt_duration=244.5 frames, utt_pad_proportion=0.07092, over 45757.55 utterances.], batch size: 25, lr: 1.55e-04
+2022-09-19 19:06:02,464 INFO [train.py:885] (1/2) Epoch 30, batch 11350, loss[loss=0.2044, simple_loss=0.2763, pruned_loss=0.06628, over 13931.00 frames. utt_duration=706.7 frames, utt_pad_proportion=0.06396, over 79.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3417, pruned_loss=0.09585, over 2777184.65 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07121, over 45681.24 utterances.], batch size: 79, lr: 1.55e-04
+2022-09-19 19:06:31,671 INFO [train.py:885] (1/2) Epoch 30, batch 11400, loss[loss=0.2226, simple_loss=0.2887, pruned_loss=0.07828, over 14178.00 frames. utt_duration=521.9 frames, utt_pad_proportion=0.04416, over 109.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3463, pruned_loss=0.09789, over 2779139.75 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07289, over 47151.53 utterances.], batch size: 109, lr: 1.55e-04
+2022-09-19 19:07:01,614 INFO [train.py:885] (1/2) Epoch 30, batch 11450, loss[loss=0.2544, simple_loss=0.3388, pruned_loss=0.08501, over 14283.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04022, over 225.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3466, pruned_loss=0.09822, over 2781044.08 frames. utt_duration=235.6 frames, utt_pad_proportion=0.07171, over 47514.06 utterances.], batch size: 225, lr: 1.55e-04
+2022-09-19 19:07:31,063 INFO [train.py:885] (1/2) Epoch 30, batch 11500, loss[loss=0.2177, simple_loss=0.2873, pruned_loss=0.07403, over 14265.00 frames. utt_duration=642.7 frames, utt_pad_proportion=0.04225, over 89.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3471, pruned_loss=0.09947, over 2783062.38 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07151, over 47177.57 utterances.], batch size: 89, lr: 1.55e-04
+2022-09-19 19:08:00,210 INFO [train.py:885] (1/2) Epoch 30, batch 11550, loss[loss=0.2915, simple_loss=0.3684, pruned_loss=0.1073, over 14329.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03838, over 262.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3442, pruned_loss=0.09832, over 2786644.07 frames. utt_duration=246.6 frames, utt_pad_proportion=0.06893, over 45482.01 utterances.], batch size: 262, lr: 1.55e-04
+2022-09-19 19:08:30,752 INFO [train.py:885] (1/2) Epoch 30, batch 11600, loss[loss=0.301, simple_loss=0.3711, pruned_loss=0.1155, over 14351.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.0361, over 195.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3469, pruned_loss=0.09983, over 2784549.41 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07113, over 46551.27 utterances.], batch size: 195, lr: 1.55e-04
+2022-09-19 19:09:00,241 INFO [train.py:885] (1/2) Epoch 30, batch 11650, loss[loss=0.2617, simple_loss=0.343, pruned_loss=0.09016, over 14296.00 frames. utt_duration=373 frames, utt_pad_proportion=0.04125, over 154.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3463, pruned_loss=0.09885, over 2786231.35 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07093, over 46786.67 utterances.], batch size: 154, lr: 1.55e-04
+2022-09-19 19:09:29,304 INFO [train.py:885] (1/2) Epoch 30, batch 11700, loss[loss=0.2689, simple_loss=0.3442, pruned_loss=0.09674, over 14331.00 frames. utt_duration=319.8 frames, utt_pad_proportion=0.03671, over 180.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.346, pruned_loss=0.0991, over 2779816.94 frames. utt_duration=242.1 frames, utt_pad_proportion=0.07303, over 46213.52 utterances.], batch size: 180, lr: 1.55e-04
+2022-09-19 19:09:58,952 INFO [train.py:885] (1/2) Epoch 30, batch 11750, loss[loss=0.269, simple_loss=0.3293, pruned_loss=0.1043, over 14104.00 frames. utt_duration=519.1 frames, utt_pad_proportion=0.04757, over 109.00 utterances.], tot_loss[loss=0.2742, simple_loss=0.3479, pruned_loss=0.1003, over 2781068.20 frames. utt_duration=238.6 frames, utt_pad_proportion=0.0727, over 46909.34 utterances.], batch size: 109, lr: 1.55e-04
+2022-09-19 19:10:29,345 INFO [train.py:885] (1/2) Epoch 30, batch 11800, loss[loss=0.2798, simple_loss=0.3615, pruned_loss=0.0991, over 14256.00 frames. utt_duration=254.9 frames, utt_pad_proportion=0.04162, over 225.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.3471, pruned_loss=0.09909, over 2782383.68 frames. utt_duration=236.3 frames, utt_pad_proportion=0.07328, over 47395.87 utterances.], batch size: 225, lr: 1.55e-04
+2022-09-19 19:10:58,900 INFO [train.py:885] (1/2) Epoch 30, batch 11850, loss[loss=0.3227, simple_loss=0.3873, pruned_loss=0.1291, over 14307.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03959, over 283.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3473, pruned_loss=0.09851, over 2786699.03 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07223, over 47186.80 utterances.], batch size: 283, lr: 1.55e-04
+2022-09-19 19:11:28,790 INFO [train.py:885] (1/2) Epoch 30, batch 11900, loss[loss=0.2832, simple_loss=0.3372, pruned_loss=0.1147, over 14332.00 frames. utt_duration=442.5 frames, utt_pad_proportion=0.03601, over 130.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3455, pruned_loss=0.09758, over 2781242.00 frames. utt_duration=239.3 frames, utt_pad_proportion=0.0724, over 46772.41 utterances.], batch size: 130, lr: 1.55e-04
+2022-09-19 19:11:58,701 INFO [train.py:885] (1/2) Epoch 30, batch 11950, loss[loss=0.267, simple_loss=0.3491, pruned_loss=0.09246, over 14222.00 frames. utt_duration=317.3 frames, utt_pad_proportion=0.04416, over 180.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3452, pruned_loss=0.09717, over 2785511.23 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07035, over 46409.36 utterances.], batch size: 180, lr: 1.55e-04
+2022-09-19 19:12:28,393 INFO [train.py:885] (1/2) Epoch 30, batch 12000, loss[loss=0.1946, simple_loss=0.2514, pruned_loss=0.06894, over 13690.00 frames. utt_duration=1096 frames, utt_pad_proportion=0.07943, over 50.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3441, pruned_loss=0.09666, over 2787100.37 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06901, over 45828.52 utterances.], batch size: 50, lr: 1.55e-04
+2022-09-19 19:12:28,394 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 19:12:32,643 INFO [train.py:914] (1/2) Epoch 30, validation: loss=0.1865, simple_loss=0.2664, pruned_loss=0.0533, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 19:13:03,195 INFO [train.py:885] (1/2) Epoch 30, batch 12050, loss[loss=0.2827, simple_loss=0.3564, pruned_loss=0.1045, over 14311.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03892, over 283.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3445, pruned_loss=0.09721, over 2787152.71 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07047, over 45931.68 utterances.], batch size: 283, lr: 1.55e-04
+2022-09-19 19:13:32,600 INFO [train.py:885] (1/2) Epoch 30, batch 12100, loss[loss=0.3055, simple_loss=0.4069, pruned_loss=0.1021, over 13678.00 frames. utt_duration=116.2 frames, utt_pad_proportion=0.07757, over 477.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3416, pruned_loss=0.09596, over 2782733.29 frames. utt_duration=245.8 frames, utt_pad_proportion=0.07192, over 45549.86 utterances.], batch size: 477, lr: 1.55e-04
+2022-09-19 19:14:03,235 INFO [train.py:885] (1/2) Epoch 30, batch 12150, loss[loss=0.1894, simple_loss=0.2696, pruned_loss=0.05454, over 14213.00 frames. utt_duration=640.4 frames, utt_pad_proportion=0.04422, over 89.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3448, pruned_loss=0.09746, over 2780805.46 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07354, over 46855.36 utterances.], batch size: 89, lr: 1.55e-04
+2022-09-19 19:14:32,904 INFO [train.py:885] (1/2) Epoch 30, batch 12200, loss[loss=0.3982, simple_loss=0.4449, pruned_loss=0.1757, over 14234.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04267, over 306.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.347, pruned_loss=0.09821, over 2779080.77 frames. utt_duration=232.5 frames, utt_pad_proportion=0.0743, over 48124.14 utterances.], batch size: 306, lr: 1.55e-04
+2022-09-19 19:15:01,977 INFO [train.py:885] (1/2) Epoch 30, batch 12250, loss[loss=0.1874, simple_loss=0.2704, pruned_loss=0.05216, over 12643.00 frames. utt_duration=2024 frames, utt_pad_proportion=0.143, over 25.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3427, pruned_loss=0.09632, over 2775054.82 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07325, over 46452.57 utterances.], batch size: 25, lr: 1.55e-04
+2022-09-19 19:15:31,766 INFO [train.py:885] (1/2) Epoch 30, batch 12300, loss[loss=0.1848, simple_loss=0.2582, pruned_loss=0.05566, over 13632.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.08478, over 42.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.347, pruned_loss=0.09829, over 2773443.44 frames. utt_duration=233 frames, utt_pad_proportion=0.07407, over 47908.93 utterances.], batch size: 42, lr: 1.55e-04
+2022-09-19 19:16:01,451 INFO [train.py:885] (1/2) Epoch 30, batch 12350, loss[loss=0.276, simple_loss=0.3505, pruned_loss=0.1008, over 14340.00 frames. utt_duration=344.7 frames, utt_pad_proportion=0.03988, over 167.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3489, pruned_loss=0.09986, over 2773263.44 frames. utt_duration=229.8 frames, utt_pad_proportion=0.07535, over 48575.80 utterances.], batch size: 167, lr: 1.55e-04
+2022-09-19 19:16:30,360 INFO [train.py:885] (1/2) Epoch 30, batch 12400, loss[loss=0.2002, simple_loss=0.2605, pruned_loss=0.07002, over 13844.00 frames. utt_duration=924.2 frames, utt_pad_proportion=0.07212, over 60.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3488, pruned_loss=0.1003, over 2773559.07 frames. utt_duration=230.6 frames, utt_pad_proportion=0.07523, over 48429.39 utterances.], batch size: 60, lr: 1.55e-04
+2022-09-19 19:17:00,585 INFO [train.py:885] (1/2) Epoch 30, batch 12450, loss[loss=0.1647, simple_loss=0.2148, pruned_loss=0.05731, over 12394.00 frames. utt_duration=2067 frames, utt_pad_proportion=0.1571, over 24.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.345, pruned_loss=0.09898, over 2768124.35 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07646, over 46965.42 utterances.], batch size: 24, lr: 1.55e-04
+2022-09-19 19:17:29,937 INFO [train.py:885] (1/2) Epoch 30, batch 12500, loss[loss=0.3283, simple_loss=0.3878, pruned_loss=0.1344, over 14322.00 frames. utt_duration=319.7 frames, utt_pad_proportion=0.03717, over 180.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3447, pruned_loss=0.09882, over 2774176.68 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07512, over 46394.26 utterances.], batch size: 180, lr: 1.55e-04
+2022-09-19 19:17:59,448 INFO [train.py:885] (1/2) Epoch 30, batch 12550, loss[loss=0.269, simple_loss=0.3403, pruned_loss=0.09891, over 14355.00 frames. utt_duration=443.2 frames, utt_pad_proportion=0.03642, over 130.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3456, pruned_loss=0.09916, over 2778612.68 frames. utt_duration=243.6 frames, utt_pad_proportion=0.07492, over 45897.83 utterances.], batch size: 130, lr: 1.55e-04
+2022-09-19 19:18:27,153 INFO [train.py:885] (1/2) Epoch 30, batch 12600, loss[loss=0.2674, simple_loss=0.3486, pruned_loss=0.09311, over 14331.00 frames. utt_duration=220.2 frames, utt_pad_proportion=0.03842, over 262.00 utterances.], tot_loss[loss=0.2757, simple_loss=0.3491, pruned_loss=0.1012, over 2776980.76 frames. utt_duration=238 frames, utt_pad_proportion=0.07542, over 46958.55 utterances.], batch size: 262, lr: 1.55e-04
+2022-09-19 19:18:45,529 INFO [train.py:885] (1/2) Epoch 31, batch 0, loss[loss=0.1717, simple_loss=0.2313, pruned_loss=0.05603, over 13532.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08696, over 50.00 utterances.], tot_loss[loss=0.1717, simple_loss=0.2313, pruned_loss=0.05603, over 13532.00 frames. utt_duration=1084 frames, utt_pad_proportion=0.08696, over 50.00 utterances.], batch size: 50, lr: 1.53e-04
+2022-09-19 19:19:15,460 INFO [train.py:885] (1/2) Epoch 31, batch 50, loss[loss=0.3768, simple_loss=0.4213, pruned_loss=0.1661, over 14342.00 frames. utt_duration=274.4 frames, utt_pad_proportion=0.03714, over 210.00 utterances.], tot_loss[loss=0.2769, simple_loss=0.3492, pruned_loss=0.1023, over 628816.08 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06345, over 10170.75 utterances.], batch size: 210, lr: 1.53e-04
+2022-09-19 19:19:45,015 INFO [train.py:885] (1/2) Epoch 31, batch 100, loss[loss=0.4226, simple_loss=0.454, pruned_loss=0.1956, over 14247.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04216, over 335.00 utterances.], tot_loss[loss=0.2753, simple_loss=0.348, pruned_loss=0.1013, over 1108505.70 frames. utt_duration=243.7 frames, utt_pad_proportion=0.06496, over 18302.69 utterances.], batch size: 335, lr: 1.53e-04
+2022-09-19 19:20:15,061 INFO [train.py:885] (1/2) Epoch 31, batch 150, loss[loss=0.2862, simple_loss=0.3666, pruned_loss=0.1029, over 14307.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03952, over 283.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3436, pruned_loss=0.09866, over 1476892.29 frames. utt_duration=250.7 frames, utt_pad_proportion=0.06769, over 23705.61 utterances.], batch size: 283, lr: 1.53e-04
+2022-09-19 19:20:43,643 INFO [train.py:885] (1/2) Epoch 31, batch 200, loss[loss=0.2707, simple_loss=0.3427, pruned_loss=0.09934, over 14316.00 frames. utt_duration=441.9 frames, utt_pad_proportion=0.03935, over 130.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3458, pruned_loss=0.09831, over 1768538.83 frames. utt_duration=243.5 frames, utt_pad_proportion=0.06704, over 29230.16 utterances.], batch size: 130, lr: 1.53e-04
+2022-09-19 19:21:13,541 INFO [train.py:885] (1/2) Epoch 31, batch 250, loss[loss=0.321, simple_loss=0.3876, pruned_loss=0.1272, over 14340.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03673, over 195.00 utterances.], tot_loss[loss=0.2726, simple_loss=0.347, pruned_loss=0.0991, over 1990121.87 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07101, over 33464.77 utterances.], batch size: 195, lr: 1.53e-04
+2022-09-19 19:21:42,857 INFO [train.py:885] (1/2) Epoch 31, batch 300, loss[loss=0.2851, simple_loss=0.362, pruned_loss=0.1041, over 14317.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03806, over 210.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3431, pruned_loss=0.09755, over 2167516.90 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06933, over 34950.87 utterances.], batch size: 210, lr: 1.53e-04
+2022-09-19 19:22:12,598 INFO [train.py:885] (1/2) Epoch 31, batch 350, loss[loss=0.2081, simple_loss=0.2883, pruned_loss=0.06399, over 13994.00 frames. utt_duration=710.1 frames, utt_pad_proportion=0.06202, over 79.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3406, pruned_loss=0.09623, over 2306836.74 frames. utt_duration=257.6 frames, utt_pad_proportion=0.06863, over 36026.40 utterances.], batch size: 79, lr: 1.53e-04
+2022-09-19 19:22:41,815 INFO [train.py:885] (1/2) Epoch 31, batch 400, loss[loss=0.197, simple_loss=0.2711, pruned_loss=0.06147, over 13843.00 frames. utt_duration=924.4 frames, utt_pad_proportion=0.07094, over 60.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3419, pruned_loss=0.09709, over 2412377.13 frames. utt_duration=252.1 frames, utt_pad_proportion=0.07087, over 38501.52 utterances.], batch size: 60, lr: 1.53e-04
+2022-09-19 19:23:11,961 INFO [train.py:885] (1/2) Epoch 31, batch 450, loss[loss=0.3012, simple_loss=0.3666, pruned_loss=0.1179, over 14282.00 frames. utt_duration=219.5 frames, utt_pad_proportion=0.04135, over 262.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3436, pruned_loss=0.099, over 2495861.56 frames. utt_duration=251.8 frames, utt_pad_proportion=0.07015, over 39880.72 utterances.], batch size: 262, lr: 1.53e-04
+2022-09-19 19:23:40,614 INFO [train.py:885] (1/2) Epoch 31, batch 500, loss[loss=0.2619, simple_loss=0.3517, pruned_loss=0.08606, over 14240.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.04287, over 225.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.341, pruned_loss=0.09695, over 2558936.55 frames. utt_duration=257.1 frames, utt_pad_proportion=0.06926, over 40041.14 utterances.], batch size: 225, lr: 1.53e-04
+2022-09-19 19:24:11,256 INFO [train.py:885] (1/2) Epoch 31, batch 550, loss[loss=0.2951, simple_loss=0.366, pruned_loss=0.1121, over 14323.00 frames. utt_duration=344.4 frames, utt_pad_proportion=0.04058, over 167.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3466, pruned_loss=0.09947, over 2601659.47 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07376, over 42701.26 utterances.], batch size: 167, lr: 1.53e-04
+2022-09-19 19:24:41,319 INFO [train.py:885] (1/2) Epoch 31, batch 600, loss[loss=0.351, simple_loss=0.4304, pruned_loss=0.1358, over 13655.00 frames. utt_duration=116 frames, utt_pad_proportion=0.07918, over 477.00 utterances.], tot_loss[loss=0.2741, simple_loss=0.3491, pruned_loss=0.09952, over 2642376.20 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07349, over 44866.27 utterances.], batch size: 477, lr: 1.53e-04
+2022-09-19 19:25:10,745 INFO [train.py:885] (1/2) Epoch 31, batch 650, loss[loss=0.1944, simple_loss=0.2732, pruned_loss=0.0578, over 14066.00 frames. utt_duration=713.6 frames, utt_pad_proportion=0.05487, over 79.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3458, pruned_loss=0.09746, over 2671488.17 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07319, over 44499.87 utterances.], batch size: 79, lr: 1.53e-04
+2022-09-19 19:25:39,019 INFO [train.py:885] (1/2) Epoch 31, batch 700, loss[loss=0.2217, simple_loss=0.2973, pruned_loss=0.07306, over 14188.00 frames. utt_duration=522.1 frames, utt_pad_proportion=0.04375, over 109.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3425, pruned_loss=0.09659, over 2699271.29 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07081, over 43161.84 utterances.], batch size: 109, lr: 1.53e-04
+2022-09-19 19:26:09,576 INFO [train.py:885] (1/2) Epoch 31, batch 750, loss[loss=0.6182, simple_loss=0.6787, pruned_loss=0.2789, over 12592.00 frames. utt_duration=63.72 frames, utt_pad_proportion=0.1389, over 810.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3453, pruned_loss=0.09726, over 2712885.66 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07432, over 44983.38 utterances.], batch size: 810, lr: 1.53e-04
+2022-09-19 19:26:39,509 INFO [train.py:885] (1/2) Epoch 31, batch 800, loss[loss=0.2173, simple_loss=0.2783, pruned_loss=0.07814, over 14127.00 frames. utt_duration=716.7 frames, utt_pad_proportion=0.05204, over 79.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3492, pruned_loss=0.09913, over 2721757.00 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07745, over 47318.88 utterances.], batch size: 79, lr: 1.53e-04
+2022-09-19 19:27:08,718 INFO [train.py:885] (1/2) Epoch 31, batch 850, loss[loss=0.2489, simple_loss=0.3182, pruned_loss=0.08979, over 14301.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03979, over 120.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3472, pruned_loss=0.09815, over 2735653.02 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07572, over 47035.60 utterances.], batch size: 120, lr: 1.52e-04
+2022-09-19 19:27:38,073 INFO [train.py:885] (1/2) Epoch 31, batch 900, loss[loss=0.2639, simple_loss=0.3533, pruned_loss=0.08721, over 14304.00 frames. utt_duration=273.7 frames, utt_pad_proportion=0.03963, over 210.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3461, pruned_loss=0.09771, over 2745726.26 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07657, over 46760.44 utterances.], batch size: 210, lr: 1.52e-04
+2022-09-19 19:28:07,455 INFO [train.py:885] (1/2) Epoch 31, batch 950, loss[loss=0.1857, simple_loss=0.2528, pruned_loss=0.05925, over 13813.00 frames. utt_duration=922.1 frames, utt_pad_proportion=0.07046, over 60.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3477, pruned_loss=0.09826, over 2756131.78 frames. utt_duration=234.7 frames, utt_pad_proportion=0.0749, over 47273.47 utterances.], batch size: 60, lr: 1.52e-04
+2022-09-19 19:28:36,560 INFO [train.py:885] (1/2) Epoch 31, batch 1000, loss[loss=0.2328, simple_loss=0.317, pruned_loss=0.07426, over 14228.00 frames. utt_duration=404.9 frames, utt_pad_proportion=0.04495, over 141.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3445, pruned_loss=0.09684, over 2760538.78 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07358, over 45794.06 utterances.], batch size: 141, lr: 1.52e-04
+2022-09-19 19:29:06,860 INFO [train.py:885] (1/2) Epoch 31, batch 1050, loss[loss=0.2031, simple_loss=0.288, pruned_loss=0.05913, over 14343.00 frames. utt_duration=442.9 frames, utt_pad_proportion=0.03518, over 130.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.347, pruned_loss=0.09809, over 2758125.83 frames. utt_duration=236 frames, utt_pad_proportion=0.07549, over 47048.98 utterances.], batch size: 130, lr: 1.52e-04
+2022-09-19 19:29:35,794 INFO [train.py:885] (1/2) Epoch 31, batch 1100, loss[loss=0.2132, simple_loss=0.2902, pruned_loss=0.0681, over 14190.00 frames. utt_duration=522.2 frames, utt_pad_proportion=0.04355, over 109.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3461, pruned_loss=0.09823, over 2767698.31 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07304, over 45916.57 utterances.], batch size: 109, lr: 1.52e-04
+2022-09-19 19:30:05,477 INFO [train.py:885] (1/2) Epoch 31, batch 1150, loss[loss=0.2009, simple_loss=0.2616, pruned_loss=0.07007, over 13872.00 frames. utt_duration=805.8 frames, utt_pad_proportion=0.06081, over 69.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3475, pruned_loss=0.09929, over 2768309.92 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07378, over 45975.44 utterances.], batch size: 69, lr: 1.52e-04
+2022-09-19 19:30:35,001 INFO [train.py:885] (1/2) Epoch 31, batch 1200, loss[loss=0.3898, simple_loss=0.4308, pruned_loss=0.1744, over 14224.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04348, over 335.00 utterances.], tot_loss[loss=0.2761, simple_loss=0.351, pruned_loss=0.1006, over 2770932.17 frames. utt_duration=233.7 frames, utt_pad_proportion=0.07459, over 47734.92 utterances.], batch size: 335, lr: 1.52e-04
+2022-09-19 19:31:04,819 INFO [train.py:885] (1/2) Epoch 31, batch 1250, loss[loss=0.2185, simple_loss=0.2875, pruned_loss=0.07471, over 14107.00 frames. utt_duration=577.2 frames, utt_pad_proportion=0.05219, over 98.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3451, pruned_loss=0.09823, over 2779001.98 frames. utt_duration=251.2 frames, utt_pad_proportion=0.07062, over 44514.47 utterances.], batch size: 98, lr: 1.52e-04
+2022-09-19 19:31:33,653 INFO [train.py:885] (1/2) Epoch 31, batch 1300, loss[loss=0.3106, simple_loss=0.3832, pruned_loss=0.119, over 14305.00 frames. utt_duration=219.9 frames, utt_pad_proportion=0.03572, over 262.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3437, pruned_loss=0.09791, over 2784588.60 frames. utt_duration=256.8 frames, utt_pad_proportion=0.06802, over 43625.65 utterances.], batch size: 262, lr: 1.52e-04
+2022-09-19 19:32:02,996 INFO [train.py:885] (1/2) Epoch 31, batch 1350, loss[loss=0.3812, simple_loss=0.4686, pruned_loss=0.147, over 13575.00 frames. utt_duration=98.38 frames, utt_pad_proportion=0.08054, over 560.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3419, pruned_loss=0.09699, over 2788126.26 frames. utt_duration=259.5 frames, utt_pad_proportion=0.06602, over 43217.51 utterances.], batch size: 560, lr: 1.52e-04
+2022-09-19 19:32:32,910 INFO [train.py:885] (1/2) Epoch 31, batch 1400, loss[loss=0.3382, simple_loss=0.4433, pruned_loss=0.1166, over 13210.00 frames. utt_duration=82.5 frames, utt_pad_proportion=0.1033, over 653.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3422, pruned_loss=0.09717, over 2782972.48 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06793, over 43772.09 utterances.], batch size: 653, lr: 1.52e-04
+2022-09-19 19:33:02,742 INFO [train.py:885] (1/2) Epoch 31, batch 1450, loss[loss=0.3055, simple_loss=0.3711, pruned_loss=0.1199, over 14382.00 frames. utt_duration=296.6 frames, utt_pad_proportion=0.03396, over 195.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3386, pruned_loss=0.09588, over 2782459.58 frames. utt_duration=267.5 frames, utt_pad_proportion=0.06677, over 41839.10 utterances.], batch size: 195, lr: 1.52e-04
+2022-09-19 19:33:33,471 INFO [train.py:885] (1/2) Epoch 31, batch 1500, loss[loss=0.2009, simple_loss=0.2765, pruned_loss=0.06265, over 14127.00 frames. utt_duration=636.4 frames, utt_pad_proportion=0.05163, over 89.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3431, pruned_loss=0.098, over 2778258.08 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07074, over 44250.04 utterances.], batch size: 89, lr: 1.52e-04
+2022-09-19 19:34:02,512 INFO [train.py:885] (1/2) Epoch 31, batch 1550, loss[loss=0.1464, simple_loss=0.2037, pruned_loss=0.04453, over 13019.00 frames. utt_duration=1580 frames, utt_pad_proportion=0.1071, over 33.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3416, pruned_loss=0.09673, over 2781640.79 frames. utt_duration=251.8 frames, utt_pad_proportion=0.06932, over 44452.32 utterances.], batch size: 33, lr: 1.52e-04
+2022-09-19 19:34:32,648 INFO [train.py:885] (1/2) Epoch 31, batch 1600, loss[loss=0.27, simple_loss=0.3438, pruned_loss=0.0981, over 14275.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04023, over 180.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3411, pruned_loss=0.09603, over 2782961.84 frames. utt_duration=253 frames, utt_pad_proportion=0.06874, over 44251.10 utterances.], batch size: 180, lr: 1.52e-04
+2022-09-19 19:35:01,378 INFO [train.py:885] (1/2) Epoch 31, batch 1650, loss[loss=0.2062, simple_loss=0.2962, pruned_loss=0.05809, over 14287.00 frames. utt_duration=406.8 frames, utt_pad_proportion=0.04274, over 141.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.341, pruned_loss=0.09614, over 2788752.23 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06553, over 43867.13 utterances.], batch size: 141, lr: 1.52e-04
+2022-09-19 19:35:30,898 INFO [train.py:885] (1/2) Epoch 31, batch 1700, loss[loss=0.2049, simple_loss=0.2889, pruned_loss=0.06048, over 12906.00 frames. utt_duration=1987 frames, utt_pad_proportion=0.1204, over 26.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3404, pruned_loss=0.09565, over 2787317.06 frames. utt_duration=255.4 frames, utt_pad_proportion=0.0661, over 43900.99 utterances.], batch size: 26, lr: 1.52e-04
+2022-09-19 19:36:03,226 INFO [train.py:885] (1/2) Epoch 31, batch 1750, loss[loss=0.2569, simple_loss=0.3456, pruned_loss=0.08413, over 14318.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03773, over 180.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3429, pruned_loss=0.09711, over 2787860.86 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06702, over 45117.06 utterances.], batch size: 180, lr: 1.52e-04
+2022-09-19 19:36:36,692 INFO [train.py:885] (1/2) Epoch 31, batch 1800, loss[loss=0.2308, simple_loss=0.3116, pruned_loss=0.07497, over 14289.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.04267, over 120.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3431, pruned_loss=0.09718, over 2784741.03 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06752, over 45537.24 utterances.], batch size: 120, lr: 1.52e-04
+2022-09-19 19:37:06,093 INFO [train.py:885] (1/2) Epoch 31, batch 1850, loss[loss=0.288, simple_loss=0.3691, pruned_loss=0.1034, over 14225.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.043, over 306.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3438, pruned_loss=0.09684, over 2787472.85 frames. utt_duration=244.2 frames, utt_pad_proportion=0.06839, over 45944.99 utterances.], batch size: 306, lr: 1.52e-04
+2022-09-19 19:37:35,200 INFO [train.py:885] (1/2) Epoch 31, batch 1900, loss[loss=0.1692, simple_loss=0.22, pruned_loss=0.05918, over 13747.00 frames. utt_duration=1101 frames, utt_pad_proportion=0.07062, over 50.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.342, pruned_loss=0.09568, over 2788490.23 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06833, over 45152.90 utterances.], batch size: 50, lr: 1.52e-04
+2022-09-19 19:38:04,325 INFO [train.py:885] (1/2) Epoch 31, batch 1950, loss[loss=0.2346, simple_loss=0.3111, pruned_loss=0.07902, over 14153.00 frames. utt_duration=520.7 frames, utt_pad_proportion=0.04626, over 109.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.341, pruned_loss=0.09561, over 2788918.48 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06731, over 44486.61 utterances.], batch size: 109, lr: 1.52e-04
+2022-09-19 19:38:34,188 INFO [train.py:885] (1/2) Epoch 31, batch 2000, loss[loss=0.2756, simple_loss=0.3485, pruned_loss=0.1013, over 14273.00 frames. utt_duration=440.5 frames, utt_pad_proportion=0.04231, over 130.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.3458, pruned_loss=0.09838, over 2788931.34 frames. utt_duration=244.9 frames, utt_pad_proportion=0.0696, over 45831.01 utterances.], batch size: 130, lr: 1.52e-04
+2022-09-19 19:39:03,601 INFO [train.py:885] (1/2) Epoch 31, batch 2050, loss[loss=0.2409, simple_loss=0.3298, pruned_loss=0.07602, over 14372.00 frames. utt_duration=296.5 frames, utt_pad_proportion=0.03431, over 195.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3434, pruned_loss=0.09666, over 2789207.96 frames. utt_duration=249.6 frames, utt_pad_proportion=0.0683, over 44970.21 utterances.], batch size: 195, lr: 1.52e-04
+2022-09-19 19:39:33,774 INFO [train.py:885] (1/2) Epoch 31, batch 2100, loss[loss=0.3484, simple_loss=0.4033, pruned_loss=0.1468, over 14340.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03838, over 244.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3436, pruned_loss=0.09683, over 2788500.03 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06828, over 45104.49 utterances.], batch size: 244, lr: 1.52e-04
+2022-09-19 19:40:02,565 INFO [train.py:885] (1/2) Epoch 31, batch 2150, loss[loss=0.2411, simple_loss=0.3287, pruned_loss=0.07674, over 14353.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03645, over 195.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3435, pruned_loss=0.09753, over 2787440.90 frames. utt_duration=248.6 frames, utt_pad_proportion=0.06752, over 45121.04 utterances.], batch size: 195, lr: 1.52e-04
+2022-09-19 19:40:32,637 INFO [train.py:885] (1/2) Epoch 31, batch 2200, loss[loss=0.1799, simple_loss=0.265, pruned_loss=0.04739, over 14224.00 frames. utt_duration=640.6 frames, utt_pad_proportion=0.04525, over 89.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3408, pruned_loss=0.09634, over 2785977.50 frames. utt_duration=253.9 frames, utt_pad_proportion=0.06839, over 44154.68 utterances.], batch size: 89, lr: 1.52e-04
+2022-09-19 19:41:02,409 INFO [train.py:885] (1/2) Epoch 31, batch 2250, loss[loss=0.4472, simple_loss=0.5413, pruned_loss=0.1765, over 12497.00 frames. utt_duration=63.32 frames, utt_pad_proportion=0.1444, over 810.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3444, pruned_loss=0.09765, over 2784023.32 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07018, over 46028.22 utterances.], batch size: 810, lr: 1.52e-04
+2022-09-19 19:41:31,538 INFO [train.py:885] (1/2) Epoch 31, batch 2300, loss[loss=0.2321, simple_loss=0.3197, pruned_loss=0.07229, over 14341.00 frames. utt_duration=374 frames, utt_pad_proportion=0.03856, over 154.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3417, pruned_loss=0.09628, over 2782655.53 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07096, over 44737.35 utterances.], batch size: 154, lr: 1.52e-04
+2022-09-19 19:42:01,492 INFO [train.py:885] (1/2) Epoch 31, batch 2350, loss[loss=0.2843, simple_loss=0.3958, pruned_loss=0.08642, over 13626.00 frames. utt_duration=98.68 frames, utt_pad_proportion=0.07777, over 560.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3417, pruned_loss=0.09509, over 2785286.90 frames. utt_duration=245.1 frames, utt_pad_proportion=0.06969, over 45737.42 utterances.], batch size: 560, lr: 1.52e-04
+2022-09-19 19:42:30,879 INFO [train.py:885] (1/2) Epoch 31, batch 2400, loss[loss=0.391, simple_loss=0.4306, pruned_loss=0.1756, over 14253.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04162, over 335.00 utterances.], tot_loss[loss=0.2619, simple_loss=0.3368, pruned_loss=0.09343, over 2784777.94 frames. utt_duration=259.9 frames, utt_pad_proportion=0.06834, over 43101.97 utterances.], batch size: 335, lr: 1.52e-04
+2022-09-19 19:43:00,053 INFO [train.py:885] (1/2) Epoch 31, batch 2450, loss[loss=0.253, simple_loss=0.3107, pruned_loss=0.09768, over 14089.00 frames. utt_duration=576.5 frames, utt_pad_proportion=0.05188, over 98.00 utterances.], tot_loss[loss=0.2617, simple_loss=0.3368, pruned_loss=0.09328, over 2787218.66 frames. utt_duration=261.8 frames, utt_pad_proportion=0.06713, over 42826.97 utterances.], batch size: 98, lr: 1.52e-04
+2022-09-19 19:43:29,939 INFO [train.py:885] (1/2) Epoch 31, batch 2500, loss[loss=0.544, simple_loss=0.6208, pruned_loss=0.2336, over 12494.00 frames. utt_duration=63.26 frames, utt_pad_proportion=0.1451, over 810.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3435, pruned_loss=0.09636, over 2777193.11 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07249, over 46417.84 utterances.], batch size: 810, lr: 1.52e-04
+2022-09-19 19:43:59,490 INFO [train.py:885] (1/2) Epoch 31, batch 2550, loss[loss=0.2611, simple_loss=0.3487, pruned_loss=0.08681, over 14272.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04047, over 225.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3444, pruned_loss=0.09686, over 2780552.25 frames. utt_duration=240.8 frames, utt_pad_proportion=0.07081, over 46474.83 utterances.], batch size: 225, lr: 1.52e-04
+2022-09-19 19:44:29,212 INFO [train.py:885] (1/2) Epoch 31, batch 2600, loss[loss=0.255, simple_loss=0.3326, pruned_loss=0.08873, over 14347.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03634, over 210.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3436, pruned_loss=0.09654, over 2778090.67 frames. utt_duration=239.3 frames, utt_pad_proportion=0.0714, over 46725.33 utterances.], batch size: 210, lr: 1.52e-04
+2022-09-19 19:44:59,317 INFO [train.py:885] (1/2) Epoch 31, batch 2650, loss[loss=0.4266, simple_loss=0.5046, pruned_loss=0.1743, over 13598.00 frames. utt_duration=98.59 frames, utt_pad_proportion=0.07857, over 560.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3452, pruned_loss=0.09743, over 2783221.02 frames. utt_duration=240.4 frames, utt_pad_proportion=0.0694, over 46590.38 utterances.], batch size: 560, lr: 1.52e-04
+2022-09-19 19:45:28,678 INFO [train.py:885] (1/2) Epoch 31, batch 2700, loss[loss=0.3057, simple_loss=0.3835, pruned_loss=0.114, over 14378.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03229, over 244.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3439, pruned_loss=0.09707, over 2788167.78 frames. utt_duration=247.6 frames, utt_pad_proportion=0.06824, over 45316.29 utterances.], batch size: 244, lr: 1.52e-04
+2022-09-19 19:45:58,268 INFO [train.py:885] (1/2) Epoch 31, batch 2750, loss[loss=0.2369, simple_loss=0.3024, pruned_loss=0.08574, over 13963.00 frames. utt_duration=571.4 frames, utt_pad_proportion=0.06174, over 98.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.345, pruned_loss=0.09769, over 2786705.68 frames. utt_duration=243.9 frames, utt_pad_proportion=0.06892, over 45988.63 utterances.], batch size: 98, lr: 1.52e-04
+2022-09-19 19:46:27,664 INFO [train.py:885] (1/2) Epoch 31, batch 2800, loss[loss=0.3285, simple_loss=0.3905, pruned_loss=0.1333, over 14204.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.0441, over 306.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3406, pruned_loss=0.09567, over 2783731.80 frames. utt_duration=248.7 frames, utt_pad_proportion=0.06762, over 45044.61 utterances.], batch size: 306, lr: 1.52e-04
+2022-09-19 19:46:57,809 INFO [train.py:885] (1/2) Epoch 31, batch 2850, loss[loss=0.2504, simple_loss=0.3343, pruned_loss=0.0833, over 14304.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.03601, over 154.00 utterances.], tot_loss[loss=0.2647, simple_loss=0.3403, pruned_loss=0.09454, over 2784776.53 frames. utt_duration=248.1 frames, utt_pad_proportion=0.06681, over 45165.30 utterances.], batch size: 154, lr: 1.52e-04
+2022-09-19 19:47:26,911 INFO [train.py:885] (1/2) Epoch 31, batch 2900, loss[loss=0.2498, simple_loss=0.3645, pruned_loss=0.06758, over 13642.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08061, over 477.00 utterances.], tot_loss[loss=0.263, simple_loss=0.3379, pruned_loss=0.09404, over 2775644.16 frames. utt_duration=251.7 frames, utt_pad_proportion=0.06955, over 44375.05 utterances.], batch size: 477, lr: 1.52e-04
+2022-09-19 19:47:57,458 INFO [train.py:885] (1/2) Epoch 31, batch 2950, loss[loss=0.1968, simple_loss=0.2587, pruned_loss=0.06743, over 13479.00 frames. utt_duration=1285 frames, utt_pad_proportion=0.09815, over 42.00 utterances.], tot_loss[loss=0.2627, simple_loss=0.3372, pruned_loss=0.09415, over 2778721.35 frames. utt_duration=253.2 frames, utt_pad_proportion=0.06931, over 44160.44 utterances.], batch size: 42, lr: 1.52e-04
+2022-09-19 19:48:26,651 INFO [train.py:885] (1/2) Epoch 31, batch 3000, loss[loss=0.2539, simple_loss=0.3407, pruned_loss=0.08352, over 14340.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03645, over 195.00 utterances.], tot_loss[loss=0.2604, simple_loss=0.3349, pruned_loss=0.09296, over 2780950.14 frames. utt_duration=261.1 frames, utt_pad_proportion=0.06971, over 42848.71 utterances.], batch size: 195, lr: 1.52e-04
+2022-09-19 19:48:26,652 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 19:48:30,862 INFO [train.py:914] (1/2) Epoch 31, validation: loss=0.1927, simple_loss=0.2745, pruned_loss=0.0555, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 19:49:00,820 INFO [train.py:885] (1/2) Epoch 31, batch 3050, loss[loss=0.2938, simple_loss=0.366, pruned_loss=0.1108, over 14289.00 frames. utt_duration=219.6 frames, utt_pad_proportion=0.04095, over 262.00 utterances.], tot_loss[loss=0.2642, simple_loss=0.3384, pruned_loss=0.09497, over 2789307.33 frames. utt_duration=257.4 frames, utt_pad_proportion=0.06649, over 43598.47 utterances.], batch size: 262, lr: 1.52e-04
+2022-09-19 19:49:30,261 INFO [train.py:885] (1/2) Epoch 31, batch 3100, loss[loss=0.1312, simple_loss=0.1852, pruned_loss=0.03853, over 13326.00 frames. utt_duration=1617 frames, utt_pad_proportion=0.08763, over 33.00 utterances.], tot_loss[loss=0.2606, simple_loss=0.3348, pruned_loss=0.09316, over 2782320.97 frames. utt_duration=260.3 frames, utt_pad_proportion=0.06862, over 43001.07 utterances.], batch size: 33, lr: 1.52e-04
+2022-09-19 19:50:00,517 INFO [train.py:885] (1/2) Epoch 31, batch 3150, loss[loss=0.2438, simple_loss=0.3294, pruned_loss=0.07912, over 14278.00 frames. utt_duration=318.6 frames, utt_pad_proportion=0.04028, over 180.00 utterances.], tot_loss[loss=0.2627, simple_loss=0.3373, pruned_loss=0.09409, over 2782300.89 frames. utt_duration=251.1 frames, utt_pad_proportion=0.06945, over 44577.15 utterances.], batch size: 180, lr: 1.52e-04
+2022-09-19 19:50:29,798 INFO [train.py:885] (1/2) Epoch 31, batch 3200, loss[loss=0.2805, simple_loss=0.3588, pruned_loss=0.101, over 14326.00 frames. utt_duration=236.5 frames, utt_pad_proportion=0.03863, over 244.00 utterances.], tot_loss[loss=0.2606, simple_loss=0.335, pruned_loss=0.09312, over 2783032.70 frames. utt_duration=260.8 frames, utt_pad_proportion=0.06899, over 42933.74 utterances.], batch size: 244, lr: 1.52e-04
+2022-09-19 19:50:59,375 INFO [train.py:885] (1/2) Epoch 31, batch 3250, loss[loss=0.2995, simple_loss=0.3893, pruned_loss=0.1049, over 13987.00 frames. utt_duration=154.7 frames, utt_pad_proportion=0.05655, over 365.00 utterances.], tot_loss[loss=0.2628, simple_loss=0.3374, pruned_loss=0.09411, over 2783460.77 frames. utt_duration=253.8 frames, utt_pad_proportion=0.06903, over 44121.94 utterances.], batch size: 365, lr: 1.52e-04
+2022-09-19 19:51:28,510 INFO [train.py:885] (1/2) Epoch 31, batch 3300, loss[loss=0.2587, simple_loss=0.3672, pruned_loss=0.07514, over 13789.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07043, over 411.00 utterances.], tot_loss[loss=0.2643, simple_loss=0.3385, pruned_loss=0.09508, over 2778556.22 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07087, over 44331.57 utterances.], batch size: 411, lr: 1.52e-04
+2022-09-19 19:51:58,028 INFO [train.py:885] (1/2) Epoch 31, batch 3350, loss[loss=0.2181, simple_loss=0.3033, pruned_loss=0.06648, over 14225.00 frames. utt_duration=404.8 frames, utt_pad_proportion=0.04748, over 141.00 utterances.], tot_loss[loss=0.263, simple_loss=0.337, pruned_loss=0.09449, over 2780503.45 frames. utt_duration=256.1 frames, utt_pad_proportion=0.06981, over 43681.36 utterances.], batch size: 141, lr: 1.52e-04
+2022-09-19 19:52:27,535 INFO [train.py:885] (1/2) Epoch 31, batch 3400, loss[loss=0.2779, simple_loss=0.3535, pruned_loss=0.1012, over 14298.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03867, over 180.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3395, pruned_loss=0.09582, over 2779555.20 frames. utt_duration=252.2 frames, utt_pad_proportion=0.06999, over 44351.56 utterances.], batch size: 180, lr: 1.52e-04
+2022-09-19 19:52:57,666 INFO [train.py:885] (1/2) Epoch 31, batch 3450, loss[loss=0.1786, simple_loss=0.2525, pruned_loss=0.05236, over 13843.00 frames. utt_duration=924.5 frames, utt_pad_proportion=0.06804, over 60.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3414, pruned_loss=0.0963, over 2777237.92 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07442, over 45650.97 utterances.], batch size: 60, lr: 1.52e-04
+2022-09-19 19:53:26,696 INFO [train.py:885] (1/2) Epoch 31, batch 3500, loss[loss=0.3211, simple_loss=0.3846, pruned_loss=0.1288, over 14293.00 frames. utt_duration=319.1 frames, utt_pad_proportion=0.03896, over 180.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3393, pruned_loss=0.09514, over 2780371.89 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07133, over 44945.25 utterances.], batch size: 180, lr: 1.52e-04
+2022-09-19 19:53:56,557 INFO [train.py:885] (1/2) Epoch 31, batch 3550, loss[loss=0.4812, simple_loss=0.5712, pruned_loss=0.1956, over 12500.00 frames. utt_duration=63.12 frames, utt_pad_proportion=0.147, over 812.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3419, pruned_loss=0.09612, over 2779057.58 frames. utt_duration=242.7 frames, utt_pad_proportion=0.07213, over 46082.78 utterances.], batch size: 812, lr: 1.52e-04
+2022-09-19 19:54:25,857 INFO [train.py:885] (1/2) Epoch 31, batch 3600, loss[loss=0.286, simple_loss=0.3933, pruned_loss=0.08933, over 13709.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07829, over 478.00 utterances.], tot_loss[loss=0.2611, simple_loss=0.3361, pruned_loss=0.09311, over 2778550.23 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07115, over 43859.17 utterances.], batch size: 478, lr: 1.52e-04
+2022-09-19 19:54:55,534 INFO [train.py:885] (1/2) Epoch 31, batch 3650, loss[loss=0.2141, simple_loss=0.2674, pruned_loss=0.08037, over 13630.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.0803, over 50.00 utterances.], tot_loss[loss=0.2623, simple_loss=0.3372, pruned_loss=0.09372, over 2779451.28 frames. utt_duration=253.5 frames, utt_pad_proportion=0.07088, over 44105.59 utterances.], batch size: 50, lr: 1.52e-04
+2022-09-19 19:55:24,983 INFO [train.py:885] (1/2) Epoch 31, batch 3700, loss[loss=0.2015, simple_loss=0.2727, pruned_loss=0.06517, over 12526.00 frames. utt_duration=2005 frames, utt_pad_proportion=0.1123, over 25.00 utterances.], tot_loss[loss=0.2605, simple_loss=0.3353, pruned_loss=0.09282, over 2776071.38 frames. utt_duration=262 frames, utt_pad_proportion=0.06993, over 42626.79 utterances.], batch size: 25, lr: 1.52e-04
+2022-09-19 19:55:55,156 INFO [train.py:885] (1/2) Epoch 31, batch 3750, loss[loss=0.192, simple_loss=0.2594, pruned_loss=0.06227, over 12527.00 frames. utt_duration=2005 frames, utt_pad_proportion=0.1641, over 25.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3403, pruned_loss=0.09529, over 2774971.07 frames. utt_duration=251 frames, utt_pad_proportion=0.07159, over 44483.46 utterances.], batch size: 25, lr: 1.52e-04
+2022-09-19 19:56:25,179 INFO [train.py:885] (1/2) Epoch 31, batch 3800, loss[loss=0.3328, simple_loss=0.3962, pruned_loss=0.1348, over 14217.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04441, over 335.00 utterances.], tot_loss[loss=0.2632, simple_loss=0.3383, pruned_loss=0.09402, over 2775652.13 frames. utt_duration=254.1 frames, utt_pad_proportion=0.07063, over 43944.00 utterances.], batch size: 335, lr: 1.52e-04
+2022-09-19 19:56:54,889 INFO [train.py:885] (1/2) Epoch 31, batch 3850, loss[loss=0.2341, simple_loss=0.3175, pruned_loss=0.07533, over 14315.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.03904, over 120.00 utterances.], tot_loss[loss=0.2617, simple_loss=0.3358, pruned_loss=0.09379, over 2780486.47 frames. utt_duration=265.6 frames, utt_pad_proportion=0.06875, over 42107.75 utterances.], batch size: 120, lr: 1.52e-04
+2022-09-19 19:57:24,536 INFO [train.py:885] (1/2) Epoch 31, batch 3900, loss[loss=0.2882, simple_loss=0.3783, pruned_loss=0.09907, over 13737.00 frames. utt_duration=135.3 frames, utt_pad_proportion=0.07336, over 411.00 utterances.], tot_loss[loss=0.2651, simple_loss=0.3393, pruned_loss=0.0955, over 2772954.74 frames. utt_duration=252.7 frames, utt_pad_proportion=0.07299, over 44154.65 utterances.], batch size: 411, lr: 1.52e-04
+2022-09-19 19:57:54,088 INFO [train.py:885] (1/2) Epoch 31, batch 3950, loss[loss=0.2396, simple_loss=0.3301, pruned_loss=0.07453, over 14282.00 frames. utt_duration=255.3 frames, utt_pad_proportion=0.04013, over 225.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3425, pruned_loss=0.09688, over 2776107.97 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07266, over 45776.52 utterances.], batch size: 225, lr: 1.52e-04
+2022-09-19 19:58:23,198 INFO [train.py:885] (1/2) Epoch 31, batch 4000, loss[loss=0.159, simple_loss=0.2317, pruned_loss=0.0431, over 13375.00 frames. utt_duration=1623 frames, utt_pad_proportion=0.09242, over 33.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3418, pruned_loss=0.09615, over 2772948.56 frames. utt_duration=242.6 frames, utt_pad_proportion=0.07315, over 45997.84 utterances.], batch size: 33, lr: 1.52e-04
+2022-09-19 19:58:53,516 INFO [train.py:885] (1/2) Epoch 31, batch 4050, loss[loss=0.3363, simple_loss=0.3972, pruned_loss=0.1376, over 14334.00 frames. utt_duration=220.3 frames, utt_pad_proportion=0.03812, over 262.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3413, pruned_loss=0.09621, over 2776689.51 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07305, over 45436.32 utterances.], batch size: 262, lr: 1.52e-04
+2022-09-19 19:59:23,147 INFO [train.py:885] (1/2) Epoch 31, batch 4100, loss[loss=0.2979, simple_loss=0.3916, pruned_loss=0.1021, over 13769.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07203, over 411.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3446, pruned_loss=0.09689, over 2776987.29 frames. utt_duration=237.1 frames, utt_pad_proportion=0.07334, over 47133.87 utterances.], batch size: 411, lr: 1.52e-04
+2022-09-19 19:59:52,428 INFO [train.py:885] (1/2) Epoch 31, batch 4150, loss[loss=0.3507, simple_loss=0.4096, pruned_loss=0.1459, over 14230.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04331, over 335.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3456, pruned_loss=0.09833, over 2781400.29 frames. utt_duration=239.9 frames, utt_pad_proportion=0.06976, over 46669.86 utterances.], batch size: 335, lr: 1.52e-04
+2022-09-19 20:00:22,098 INFO [train.py:885] (1/2) Epoch 31, batch 4200, loss[loss=0.1789, simple_loss=0.2477, pruned_loss=0.05504, over 13563.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.08147, over 50.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3461, pruned_loss=0.09807, over 2781412.07 frames. utt_duration=237.4 frames, utt_pad_proportion=0.07086, over 47156.67 utterances.], batch size: 50, lr: 1.52e-04
+2022-09-19 20:00:52,290 INFO [train.py:885] (1/2) Epoch 31, batch 4250, loss[loss=0.2748, simple_loss=0.3499, pruned_loss=0.09988, over 14284.00 frames. utt_duration=440.9 frames, utt_pad_proportion=0.03948, over 130.00 utterances.], tot_loss[loss=0.2722, simple_loss=0.3475, pruned_loss=0.09851, over 2778525.17 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07496, over 47925.69 utterances.], batch size: 130, lr: 1.52e-04
+2022-09-19 20:01:22,294 INFO [train.py:885] (1/2) Epoch 31, batch 4300, loss[loss=0.28, simple_loss=0.3954, pruned_loss=0.08232, over 13666.00 frames. utt_duration=116 frames, utt_pad_proportion=0.0792, over 477.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3481, pruned_loss=0.09902, over 2784611.22 frames. utt_duration=234.9 frames, utt_pad_proportion=0.07164, over 47722.13 utterances.], batch size: 477, lr: 1.52e-04
+2022-09-19 20:01:52,313 INFO [train.py:885] (1/2) Epoch 31, batch 4350, loss[loss=0.3646, simple_loss=0.4165, pruned_loss=0.1564, over 14320.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.0384, over 283.00 utterances.], tot_loss[loss=0.2744, simple_loss=0.3487, pruned_loss=0.1, over 2784530.39 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07131, over 47239.26 utterances.], batch size: 283, lr: 1.52e-04
+2022-09-19 20:02:22,607 INFO [train.py:885] (1/2) Epoch 31, batch 4400, loss[loss=0.2569, simple_loss=0.3441, pruned_loss=0.08487, over 14281.00 frames. utt_duration=219.3 frames, utt_pad_proportion=0.0422, over 262.00 utterances.], tot_loss[loss=0.2765, simple_loss=0.3512, pruned_loss=0.1009, over 2783731.07 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07323, over 48014.61 utterances.], batch size: 262, lr: 1.52e-04
+2022-09-19 20:03:00,614 INFO [train.py:885] (1/2) Epoch 31, batch 4450, loss[loss=0.4771, simple_loss=0.5736, pruned_loss=0.1903, over 12527.00 frames. utt_duration=63.39 frames, utt_pad_proportion=0.1434, over 810.00 utterances.], tot_loss[loss=0.2775, simple_loss=0.3528, pruned_loss=0.1012, over 2783511.33 frames. utt_duration=226.7 frames, utt_pad_proportion=0.0746, over 49437.14 utterances.], batch size: 810, lr: 1.52e-04
+2022-09-19 20:03:30,091 INFO [train.py:885] (1/2) Epoch 31, batch 4500, loss[loss=0.4245, simple_loss=0.4595, pruned_loss=0.1948, over 14324.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03875, over 262.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.3487, pruned_loss=0.09929, over 2787013.16 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07167, over 47388.14 utterances.], batch size: 262, lr: 1.52e-04
+2022-09-19 20:04:00,462 INFO [train.py:885] (1/2) Epoch 31, batch 4550, loss[loss=0.6251, simple_loss=0.6889, pruned_loss=0.2807, over 12496.00 frames. utt_duration=63.34 frames, utt_pad_proportion=0.144, over 810.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3502, pruned_loss=0.09981, over 2785904.29 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07333, over 48030.61 utterances.], batch size: 810, lr: 1.52e-04
+2022-09-19 20:04:31,111 INFO [train.py:885] (1/2) Epoch 31, batch 4600, loss[loss=0.1976, simple_loss=0.2694, pruned_loss=0.06285, over 14171.00 frames. utt_duration=638.3 frames, utt_pad_proportion=0.05014, over 89.00 utterances.], tot_loss[loss=0.2733, simple_loss=0.3491, pruned_loss=0.09872, over 2780153.42 frames. utt_duration=230.6 frames, utt_pad_proportion=0.07528, over 48538.29 utterances.], batch size: 89, lr: 1.52e-04
+2022-09-19 20:05:00,014 INFO [train.py:885] (1/2) Epoch 31, batch 4650, loss[loss=0.2938, simple_loss=0.3687, pruned_loss=0.1095, over 14291.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.04017, over 283.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3458, pruned_loss=0.09752, over 2783999.75 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07165, over 46670.21 utterances.], batch size: 283, lr: 1.52e-04
+2022-09-19 20:05:30,333 INFO [train.py:885] (1/2) Epoch 31, batch 4700, loss[loss=0.1897, simple_loss=0.2434, pruned_loss=0.06799, over 13316.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.09201, over 41.00 utterances.], tot_loss[loss=0.2725, simple_loss=0.348, pruned_loss=0.0985, over 2783042.51 frames. utt_duration=234.6 frames, utt_pad_proportion=0.07285, over 47747.86 utterances.], batch size: 41, lr: 1.52e-04
+2022-09-19 20:06:00,092 INFO [train.py:885] (1/2) Epoch 31, batch 4750, loss[loss=0.1927, simple_loss=0.2586, pruned_loss=0.0634, over 12934.00 frames. utt_duration=1992 frames, utt_pad_proportion=0.1306, over 26.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3446, pruned_loss=0.09716, over 2778779.53 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07205, over 45629.16 utterances.], batch size: 26, lr: 1.52e-04
+2022-09-19 20:06:30,179 INFO [train.py:885] (1/2) Epoch 31, batch 4800, loss[loss=0.2073, simple_loss=0.2906, pruned_loss=0.06207, over 14332.00 frames. utt_duration=479 frames, utt_pad_proportion=0.03812, over 120.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.347, pruned_loss=0.09811, over 2781545.49 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07292, over 46790.66 utterances.], batch size: 120, lr: 1.52e-04
+2022-09-19 20:06:59,635 INFO [train.py:885] (1/2) Epoch 31, batch 4850, loss[loss=0.2631, simple_loss=0.3385, pruned_loss=0.09387, over 14309.00 frames. utt_duration=407.4 frames, utt_pad_proportion=0.04149, over 141.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3441, pruned_loss=0.09646, over 2781474.13 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07252, over 45964.90 utterances.], batch size: 141, lr: 1.52e-04
+2022-09-19 20:07:30,099 INFO [train.py:885] (1/2) Epoch 31, batch 4900, loss[loss=0.2698, simple_loss=0.3415, pruned_loss=0.09908, over 14303.00 frames. utt_duration=407.3 frames, utt_pad_proportion=0.04167, over 141.00 utterances.], tot_loss[loss=0.273, simple_loss=0.349, pruned_loss=0.09845, over 2780907.05 frames. utt_duration=231.7 frames, utt_pad_proportion=0.07467, over 48328.39 utterances.], batch size: 141, lr: 1.52e-04
+2022-09-19 20:08:00,105 INFO [train.py:885] (1/2) Epoch 31, batch 4950, loss[loss=0.2653, simple_loss=0.3486, pruned_loss=0.09105, over 14340.00 frames. utt_duration=255.4 frames, utt_pad_proportion=0.03632, over 226.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3477, pruned_loss=0.09778, over 2781177.06 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07431, over 47875.68 utterances.], batch size: 226, lr: 1.52e-04
+2022-09-19 20:08:29,584 INFO [train.py:885] (1/2) Epoch 31, batch 5000, loss[loss=0.1931, simple_loss=0.2833, pruned_loss=0.05141, over 14331.00 frames. utt_duration=479.2 frames, utt_pad_proportion=0.03583, over 120.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3478, pruned_loss=0.09823, over 2785405.24 frames. utt_duration=237.6 frames, utt_pad_proportion=0.07277, over 47184.18 utterances.], batch size: 120, lr: 1.52e-04
+2022-09-19 20:08:59,213 INFO [train.py:885] (1/2) Epoch 31, batch 5050, loss[loss=0.1485, simple_loss=0.2086, pruned_loss=0.04423, over 13576.00 frames. utt_duration=1087 frames, utt_pad_proportion=0.0855, over 50.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3448, pruned_loss=0.09701, over 2783535.56 frames. utt_duration=242 frames, utt_pad_proportion=0.07189, over 46301.61 utterances.], batch size: 50, lr: 1.52e-04
+2022-09-19 20:09:29,440 INFO [train.py:885] (1/2) Epoch 31, batch 5100, loss[loss=0.1965, simple_loss=0.2726, pruned_loss=0.06017, over 14073.00 frames. utt_duration=714.2 frames, utt_pad_proportion=0.05525, over 79.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3457, pruned_loss=0.09748, over 2784613.24 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07202, over 46828.91 utterances.], batch size: 79, lr: 1.52e-04
+2022-09-19 20:09:59,344 INFO [train.py:885] (1/2) Epoch 31, batch 5150, loss[loss=0.1986, simple_loss=0.2603, pruned_loss=0.06844, over 12001.00 frames. utt_duration=2002 frames, utt_pad_proportion=0.1916, over 24.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3414, pruned_loss=0.09609, over 2784409.25 frames. utt_duration=252.6 frames, utt_pad_proportion=0.07057, over 44359.68 utterances.], batch size: 24, lr: 1.52e-04
+2022-09-19 20:10:30,264 INFO [train.py:885] (1/2) Epoch 31, batch 5200, loss[loss=0.1602, simple_loss=0.2138, pruned_loss=0.05332, over 13102.00 frames. utt_duration=2098 frames, utt_pad_proportion=0.12, over 25.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3401, pruned_loss=0.09551, over 2779331.19 frames. utt_duration=253.2 frames, utt_pad_proportion=0.0735, over 44163.65 utterances.], batch size: 25, lr: 1.52e-04
+2022-09-19 20:11:00,114 INFO [train.py:885] (1/2) Epoch 31, batch 5250, loss[loss=0.2468, simple_loss=0.3258, pruned_loss=0.08392, over 14309.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.03965, over 130.00 utterances.], tot_loss[loss=0.2635, simple_loss=0.3379, pruned_loss=0.09457, over 2781422.15 frames. utt_duration=258.1 frames, utt_pad_proportion=0.07254, over 43360.79 utterances.], batch size: 130, lr: 1.52e-04
+2022-09-19 20:11:30,021 INFO [train.py:885] (1/2) Epoch 31, batch 5300, loss[loss=0.1855, simple_loss=0.2505, pruned_loss=0.06022, over 14102.00 frames. utt_duration=715.7 frames, utt_pad_proportion=0.05202, over 79.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3403, pruned_loss=0.09571, over 2783177.32 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07176, over 44746.06 utterances.], batch size: 79, lr: 1.52e-04
+2022-09-19 20:12:00,408 INFO [train.py:885] (1/2) Epoch 31, batch 5350, loss[loss=0.1907, simple_loss=0.2625, pruned_loss=0.05948, over 13899.00 frames. utt_duration=807.2 frames, utt_pad_proportion=0.05925, over 69.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3411, pruned_loss=0.09577, over 2781384.48 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07165, over 45426.89 utterances.], batch size: 69, lr: 1.52e-04
+2022-09-19 20:12:29,825 INFO [train.py:885] (1/2) Epoch 31, batch 5400, loss[loss=0.2232, simple_loss=0.3, pruned_loss=0.07314, over 14185.00 frames. utt_duration=639.1 frames, utt_pad_proportion=0.04891, over 89.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.34, pruned_loss=0.0959, over 2784932.52 frames. utt_duration=255.3 frames, utt_pad_proportion=0.06952, over 43882.37 utterances.], batch size: 89, lr: 1.52e-04
+2022-09-19 20:13:00,085 INFO [train.py:885] (1/2) Epoch 31, batch 5450, loss[loss=0.2729, simple_loss=0.3367, pruned_loss=0.1046, over 14299.00 frames. utt_duration=521.5 frames, utt_pad_proportion=0.04312, over 110.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3399, pruned_loss=0.09632, over 2785926.80 frames. utt_duration=256.6 frames, utt_pad_proportion=0.06834, over 43671.93 utterances.], batch size: 110, lr: 1.52e-04
+2022-09-19 20:13:30,311 INFO [train.py:885] (1/2) Epoch 31, batch 5500, loss[loss=0.2303, simple_loss=0.2982, pruned_loss=0.08116, over 14287.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.04071, over 120.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.341, pruned_loss=0.09689, over 2782582.14 frames. utt_duration=254.5 frames, utt_pad_proportion=0.06985, over 43986.88 utterances.], batch size: 120, lr: 1.52e-04
+2022-09-19 20:13:59,775 INFO [train.py:885] (1/2) Epoch 31, batch 5550, loss[loss=0.3464, simple_loss=0.4494, pruned_loss=0.1217, over 13197.00 frames. utt_duration=82.32 frames, utt_pad_proportion=0.1052, over 653.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3439, pruned_loss=0.09785, over 2781619.05 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07232, over 45234.00 utterances.], batch size: 653, lr: 1.52e-04
+2022-09-19 20:14:29,718 INFO [train.py:885] (1/2) Epoch 31, batch 5600, loss[loss=0.4255, simple_loss=0.4663, pruned_loss=0.1924, over 14214.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04407, over 306.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3443, pruned_loss=0.09749, over 2782009.48 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07196, over 45637.62 utterances.], batch size: 306, lr: 1.52e-04
+2022-09-19 20:15:00,163 INFO [train.py:885] (1/2) Epoch 31, batch 5650, loss[loss=0.2858, simple_loss=0.3868, pruned_loss=0.09235, over 13957.00 frames. utt_duration=154.3 frames, utt_pad_proportion=0.05912, over 365.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.345, pruned_loss=0.09702, over 2780249.82 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07277, over 46363.90 utterances.], batch size: 365, lr: 1.52e-04
+2022-09-19 20:15:30,960 INFO [train.py:885] (1/2) Epoch 31, batch 5700, loss[loss=0.2515, simple_loss=0.3342, pruned_loss=0.08441, over 14337.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03702, over 195.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3451, pruned_loss=0.09693, over 2780706.59 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07294, over 46531.88 utterances.], batch size: 195, lr: 1.52e-04
+2022-09-19 20:16:00,562 INFO [train.py:885] (1/2) Epoch 31, batch 5750, loss[loss=0.2398, simple_loss=0.3144, pruned_loss=0.08256, over 14197.00 frames. utt_duration=522.6 frames, utt_pad_proportion=0.04288, over 109.00 utterances.], tot_loss[loss=0.268, simple_loss=0.343, pruned_loss=0.09647, over 2785049.75 frames. utt_duration=250.6 frames, utt_pad_proportion=0.07207, over 44720.59 utterances.], batch size: 109, lr: 1.52e-04
+2022-09-19 20:16:30,494 INFO [train.py:885] (1/2) Epoch 31, batch 5800, loss[loss=0.1907, simple_loss=0.2634, pruned_loss=0.05898, over 13516.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08552, over 50.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.342, pruned_loss=0.09649, over 2782364.92 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07224, over 44619.06 utterances.], batch size: 50, lr: 1.52e-04
+2022-09-19 20:17:00,559 INFO [train.py:885] (1/2) Epoch 31, batch 5850, loss[loss=0.4486, simple_loss=0.5199, pruned_loss=0.1887, over 13115.00 frames. utt_duration=81.81 frames, utt_pad_proportion=0.1108, over 653.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3452, pruned_loss=0.09767, over 2780436.14 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07257, over 46675.10 utterances.], batch size: 653, lr: 1.52e-04
+2022-09-19 20:17:29,825 INFO [train.py:885] (1/2) Epoch 31, batch 5900, loss[loss=0.2532, simple_loss=0.3263, pruned_loss=0.09007, over 14351.00 frames. utt_duration=374.3 frames, utt_pad_proportion=0.03543, over 154.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3437, pruned_loss=0.09715, over 2780442.00 frames. utt_duration=245.4 frames, utt_pad_proportion=0.07275, over 45602.78 utterances.], batch size: 154, lr: 1.51e-04
+2022-09-19 20:18:00,008 INFO [train.py:885] (1/2) Epoch 31, batch 5950, loss[loss=0.3215, simple_loss=0.3841, pruned_loss=0.1294, over 14297.00 frames. utt_duration=203.5 frames, utt_pad_proportion=0.0403, over 283.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3453, pruned_loss=0.09779, over 2783040.16 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07133, over 45990.73 utterances.], batch size: 283, lr: 1.51e-04
+2022-09-19 20:18:29,634 INFO [train.py:885] (1/2) Epoch 31, batch 6000, loss[loss=0.2104, simple_loss=0.2941, pruned_loss=0.06339, over 14262.00 frames. utt_duration=406 frames, utt_pad_proportion=0.04467, over 141.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3447, pruned_loss=0.09672, over 2786305.59 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07016, over 45739.20 utterances.], batch size: 141, lr: 1.51e-04
+2022-09-19 20:18:29,635 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 20:18:34,446 INFO [train.py:914] (1/2) Epoch 31, validation: loss=0.1919, simple_loss=0.2709, pruned_loss=0.05648, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 20:19:04,563 INFO [train.py:885] (1/2) Epoch 31, batch 6050, loss[loss=0.2002, simple_loss=0.2726, pruned_loss=0.06386, over 13896.00 frames. utt_duration=927.9 frames, utt_pad_proportion=0.06744, over 60.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3446, pruned_loss=0.09735, over 2784192.34 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07196, over 45798.31 utterances.], batch size: 60, lr: 1.51e-04
+2022-09-19 20:19:35,258 INFO [train.py:885] (1/2) Epoch 31, batch 6100, loss[loss=0.1617, simple_loss=0.219, pruned_loss=0.05221, over 13586.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08466, over 50.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3451, pruned_loss=0.09765, over 2780089.76 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07434, over 46164.93 utterances.], batch size: 50, lr: 1.51e-04
+2022-09-19 20:20:04,828 INFO [train.py:885] (1/2) Epoch 31, batch 6150, loss[loss=0.1622, simple_loss=0.2096, pruned_loss=0.05744, over 13175.00 frames. utt_duration=1598 frames, utt_pad_proportion=0.1041, over 33.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3435, pruned_loss=0.09684, over 2779445.12 frames. utt_duration=244 frames, utt_pad_proportion=0.07394, over 45839.14 utterances.], batch size: 33, lr: 1.51e-04
+2022-09-19 20:20:34,483 INFO [train.py:885] (1/2) Epoch 31, batch 6200, loss[loss=0.2835, simple_loss=0.3808, pruned_loss=0.09306, over 13959.00 frames. utt_duration=154.4 frames, utt_pad_proportion=0.05845, over 365.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3434, pruned_loss=0.09689, over 2780430.24 frames. utt_duration=245.9 frames, utt_pad_proportion=0.07225, over 45501.27 utterances.], batch size: 365, lr: 1.51e-04
+2022-09-19 20:21:04,514 INFO [train.py:885] (1/2) Epoch 31, batch 6250, loss[loss=0.2977, simple_loss=0.3815, pruned_loss=0.1069, over 14013.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05503, over 365.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.345, pruned_loss=0.09778, over 2785534.77 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07053, over 46177.85 utterances.], batch size: 365, lr: 1.51e-04
+2022-09-19 20:21:34,174 INFO [train.py:885] (1/2) Epoch 31, batch 6300, loss[loss=0.1574, simple_loss=0.2258, pruned_loss=0.04454, over 12136.00 frames. utt_duration=2024 frames, utt_pad_proportion=0.1574, over 24.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3403, pruned_loss=0.09565, over 2783130.63 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06917, over 44013.31 utterances.], batch size: 24, lr: 1.51e-04
+2022-09-19 20:22:04,510 INFO [train.py:885] (1/2) Epoch 31, batch 6350, loss[loss=0.2586, simple_loss=0.3404, pruned_loss=0.08838, over 14357.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.03546, over 195.00 utterances.], tot_loss[loss=0.2654, simple_loss=0.3396, pruned_loss=0.09565, over 2786309.61 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06779, over 43539.33 utterances.], batch size: 195, lr: 1.51e-04
+2022-09-19 20:22:35,313 INFO [train.py:885] (1/2) Epoch 31, batch 6400, loss[loss=0.2112, simple_loss=0.2823, pruned_loss=0.07009, over 13367.00 frames. utt_duration=1306 frames, utt_pad_proportion=0.08878, over 41.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3427, pruned_loss=0.09681, over 2784485.86 frames. utt_duration=249.1 frames, utt_pad_proportion=0.07001, over 44989.16 utterances.], batch size: 41, lr: 1.51e-04
+2022-09-19 20:23:05,234 INFO [train.py:885] (1/2) Epoch 31, batch 6450, loss[loss=0.2795, simple_loss=0.3526, pruned_loss=0.1031, over 14299.00 frames. utt_duration=407 frames, utt_pad_proportion=0.04225, over 141.00 utterances.], tot_loss[loss=0.2642, simple_loss=0.3386, pruned_loss=0.09494, over 2782772.61 frames. utt_duration=257 frames, utt_pad_proportion=0.07004, over 43557.33 utterances.], batch size: 141, lr: 1.51e-04
+2022-09-19 20:23:35,809 INFO [train.py:885] (1/2) Epoch 31, batch 6500, loss[loss=0.1392, simple_loss=0.1986, pruned_loss=0.03986, over 13585.00 frames. utt_duration=1327 frames, utt_pad_proportion=0.07141, over 41.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3419, pruned_loss=0.09696, over 2783504.87 frames. utt_duration=254 frames, utt_pad_proportion=0.07075, over 44098.86 utterances.], batch size: 41, lr: 1.51e-04
+2022-09-19 20:24:05,588 INFO [train.py:885] (1/2) Epoch 31, batch 6550, loss[loss=0.2705, simple_loss=0.3376, pruned_loss=0.1017, over 14313.00 frames. utt_duration=344.2 frames, utt_pad_proportion=0.04132, over 167.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3418, pruned_loss=0.09721, over 2778075.32 frames. utt_duration=249.8 frames, utt_pad_proportion=0.07352, over 44746.39 utterances.], batch size: 167, lr: 1.51e-04
+2022-09-19 20:24:35,284 INFO [train.py:885] (1/2) Epoch 31, batch 6600, loss[loss=0.2351, simple_loss=0.3221, pruned_loss=0.07404, over 14290.00 frames. utt_duration=343.7 frames, utt_pad_proportion=0.0427, over 167.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3457, pruned_loss=0.09879, over 2783088.82 frames. utt_duration=242 frames, utt_pad_proportion=0.0723, over 46293.91 utterances.], batch size: 167, lr: 1.51e-04
+2022-09-19 20:25:04,447 INFO [train.py:885] (1/2) Epoch 31, batch 6650, loss[loss=0.2903, simple_loss=0.3563, pruned_loss=0.1122, over 14320.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04006, over 154.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3475, pruned_loss=0.09938, over 2781714.83 frames. utt_duration=236.6 frames, utt_pad_proportion=0.07432, over 47333.33 utterances.], batch size: 154, lr: 1.51e-04
+2022-09-19 20:25:34,124 INFO [train.py:885] (1/2) Epoch 31, batch 6700, loss[loss=0.2559, simple_loss=0.3485, pruned_loss=0.08162, over 14359.00 frames. utt_duration=296.2 frames, utt_pad_proportion=0.03533, over 195.00 utterances.], tot_loss[loss=0.2723, simple_loss=0.347, pruned_loss=0.09876, over 2780383.99 frames. utt_duration=235.9 frames, utt_pad_proportion=0.07382, over 47448.64 utterances.], batch size: 195, lr: 1.51e-04
+2022-09-19 20:26:03,983 INFO [train.py:885] (1/2) Epoch 31, batch 6750, loss[loss=0.1852, simple_loss=0.2606, pruned_loss=0.05493, over 14098.00 frames. utt_duration=715.3 frames, utt_pad_proportion=0.05378, over 79.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3468, pruned_loss=0.09872, over 2780841.01 frames. utt_duration=234.2 frames, utt_pad_proportion=0.07349, over 47787.43 utterances.], batch size: 79, lr: 1.51e-04
+2022-09-19 20:26:34,332 INFO [train.py:885] (1/2) Epoch 31, batch 6800, loss[loss=0.5883, simple_loss=0.6475, pruned_loss=0.2646, over 12420.00 frames. utt_duration=62.89 frames, utt_pad_proportion=0.1502, over 810.00 utterances.], tot_loss[loss=0.2737, simple_loss=0.349, pruned_loss=0.09918, over 2774351.88 frames. utt_duration=225.5 frames, utt_pad_proportion=0.07621, over 49527.78 utterances.], batch size: 810, lr: 1.51e-04
+2022-09-19 20:27:03,387 INFO [train.py:885] (1/2) Epoch 31, batch 6850, loss[loss=0.1956, simple_loss=0.2734, pruned_loss=0.05888, over 14157.00 frames. utt_duration=579.3 frames, utt_pad_proportion=0.04869, over 98.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.348, pruned_loss=0.09915, over 2778317.95 frames. utt_duration=233.4 frames, utt_pad_proportion=0.07425, over 47920.79 utterances.], batch size: 98, lr: 1.51e-04
+2022-09-19 20:27:32,388 INFO [train.py:885] (1/2) Epoch 31, batch 6900, loss[loss=0.347, simple_loss=0.4123, pruned_loss=0.1409, over 14191.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04487, over 306.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3449, pruned_loss=0.09824, over 2778235.33 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07311, over 46513.91 utterances.], batch size: 306, lr: 1.51e-04
+2022-09-19 20:28:01,971 INFO [train.py:885] (1/2) Epoch 31, batch 6950, loss[loss=0.3626, simple_loss=0.4198, pruned_loss=0.1527, over 14285.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03973, over 180.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.3472, pruned_loss=0.09916, over 2778312.09 frames. utt_duration=236 frames, utt_pad_proportion=0.07237, over 47391.20 utterances.], batch size: 180, lr: 1.51e-04
+2022-09-19 20:28:31,194 INFO [train.py:885] (1/2) Epoch 31, batch 7000, loss[loss=0.2373, simple_loss=0.3039, pruned_loss=0.08531, over 14288.00 frames. utt_duration=441 frames, utt_pad_proportion=0.0393, over 130.00 utterances.], tot_loss[loss=0.2712, simple_loss=0.3453, pruned_loss=0.09856, over 2780635.73 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07266, over 46287.22 utterances.], batch size: 130, lr: 1.51e-04
+2022-09-19 20:29:01,446 INFO [train.py:885] (1/2) Epoch 31, batch 7050, loss[loss=0.1979, simple_loss=0.2925, pruned_loss=0.05167, over 14283.00 frames. utt_duration=372.5 frames, utt_pad_proportion=0.0423, over 154.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3471, pruned_loss=0.09944, over 2780085.60 frames. utt_duration=237.6 frames, utt_pad_proportion=0.0733, over 47095.91 utterances.], batch size: 154, lr: 1.51e-04
+2022-09-19 20:29:30,724 INFO [train.py:885] (1/2) Epoch 31, batch 7100, loss[loss=0.2267, simple_loss=0.2973, pruned_loss=0.07809, over 14276.00 frames. utt_duration=520.6 frames, utt_pad_proportion=0.04469, over 110.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3465, pruned_loss=0.09888, over 2776706.76 frames. utt_duration=236.4 frames, utt_pad_proportion=0.07497, over 47271.94 utterances.], batch size: 110, lr: 1.51e-04
+2022-09-19 20:30:00,410 INFO [train.py:885] (1/2) Epoch 31, batch 7150, loss[loss=0.6065, simple_loss=0.6613, pruned_loss=0.2758, over 12516.00 frames. utt_duration=63.3 frames, utt_pad_proportion=0.1446, over 811.00 utterances.], tot_loss[loss=0.2772, simple_loss=0.3515, pruned_loss=0.1015, over 2773398.57 frames. utt_duration=225.8 frames, utt_pad_proportion=0.0769, over 49458.20 utterances.], batch size: 811, lr: 1.51e-04
+2022-09-19 20:30:30,007 INFO [train.py:885] (1/2) Epoch 31, batch 7200, loss[loss=0.3258, simple_loss=0.4198, pruned_loss=0.1159, over 13623.00 frames. utt_duration=115.8 frames, utt_pad_proportion=0.08096, over 477.00 utterances.], tot_loss[loss=0.2749, simple_loss=0.3493, pruned_loss=0.1003, over 2773857.78 frames. utt_duration=229.6 frames, utt_pad_proportion=0.07655, over 48647.42 utterances.], batch size: 477, lr: 1.51e-04
+2022-09-19 20:30:58,862 INFO [train.py:885] (1/2) Epoch 31, batch 7250, loss[loss=0.3573, simple_loss=0.4107, pruned_loss=0.1519, over 14221.00 frames. utt_duration=171.2 frames, utt_pad_proportion=0.04351, over 335.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3461, pruned_loss=0.09907, over 2777730.61 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07348, over 46378.26 utterances.], batch size: 335, lr: 1.51e-04
+2022-09-19 20:31:28,985 INFO [train.py:885] (1/2) Epoch 31, batch 7300, loss[loss=0.3128, simple_loss=0.3826, pruned_loss=0.1215, over 14355.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.0368, over 283.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3453, pruned_loss=0.09871, over 2771672.90 frames. utt_duration=238.2 frames, utt_pad_proportion=0.07466, over 46831.79 utterances.], batch size: 283, lr: 1.51e-04
+2022-09-19 20:31:58,050 INFO [train.py:885] (1/2) Epoch 31, batch 7350, loss[loss=0.2817, simple_loss=0.3808, pruned_loss=0.09135, over 13719.00 frames. utt_duration=135 frames, utt_pad_proportion=0.07516, over 411.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3437, pruned_loss=0.09749, over 2772689.51 frames. utt_duration=239.8 frames, utt_pad_proportion=0.0745, over 46527.81 utterances.], batch size: 411, lr: 1.51e-04
+2022-09-19 20:32:27,978 INFO [train.py:885] (1/2) Epoch 31, batch 7400, loss[loss=0.14, simple_loss=0.1989, pruned_loss=0.04058, over 13271.00 frames. utt_duration=1610 frames, utt_pad_proportion=0.1099, over 33.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3408, pruned_loss=0.09644, over 2770870.71 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07371, over 44937.51 utterances.], batch size: 33, lr: 1.51e-04
+2022-09-19 20:32:57,625 INFO [train.py:885] (1/2) Epoch 31, batch 7450, loss[loss=0.164, simple_loss=0.2416, pruned_loss=0.04316, over 13348.00 frames. utt_duration=1069 frames, utt_pad_proportion=0.1015, over 50.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3428, pruned_loss=0.09725, over 2771193.08 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07413, over 46114.78 utterances.], batch size: 50, lr: 1.51e-04
+2022-09-19 20:33:27,236 INFO [train.py:885] (1/2) Epoch 31, batch 7500, loss[loss=0.1346, simple_loss=0.1928, pruned_loss=0.03822, over 13095.00 frames. utt_duration=1589 frames, utt_pad_proportion=0.1034, over 33.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3395, pruned_loss=0.09606, over 2773779.07 frames. utt_duration=251.7 frames, utt_pad_proportion=0.07204, over 44341.39 utterances.], batch size: 33, lr: 1.51e-04
+2022-09-19 20:33:57,972 INFO [train.py:885] (1/2) Epoch 31, batch 7550, loss[loss=0.3692, simple_loss=0.4674, pruned_loss=0.1355, over 13162.00 frames. utt_duration=82.13 frames, utt_pad_proportion=0.1072, over 653.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3453, pruned_loss=0.09869, over 2776638.14 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07416, over 46274.91 utterances.], batch size: 653, lr: 1.51e-04
+2022-09-19 20:34:27,325 INFO [train.py:885] (1/2) Epoch 31, batch 7600, loss[loss=0.3628, simple_loss=0.4496, pruned_loss=0.138, over 13701.00 frames. utt_duration=99.26 frames, utt_pad_proportion=0.07231, over 560.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3415, pruned_loss=0.09702, over 2776853.42 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07148, over 44404.25 utterances.], batch size: 560, lr: 1.51e-04
+2022-09-19 20:34:56,829 INFO [train.py:885] (1/2) Epoch 31, batch 7650, loss[loss=0.1429, simple_loss=0.202, pruned_loss=0.04188, over 12205.00 frames. utt_duration=2036 frames, utt_pad_proportion=0.1704, over 24.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3416, pruned_loss=0.09675, over 2775787.33 frames. utt_duration=246.5 frames, utt_pad_proportion=0.07188, over 45312.51 utterances.], batch size: 24, lr: 1.51e-04
+2022-09-19 20:35:26,253 INFO [train.py:885] (1/2) Epoch 31, batch 7700, loss[loss=0.3368, simple_loss=0.4036, pruned_loss=0.135, over 14219.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0433, over 306.00 utterances.], tot_loss[loss=0.2727, simple_loss=0.347, pruned_loss=0.09924, over 2774235.15 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07466, over 47183.71 utterances.], batch size: 306, lr: 1.51e-04
+2022-09-19 20:35:56,224 INFO [train.py:885] (1/2) Epoch 31, batch 7750, loss[loss=0.2358, simple_loss=0.3091, pruned_loss=0.08125, over 14309.00 frames. utt_duration=441.7 frames, utt_pad_proportion=0.03988, over 130.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3429, pruned_loss=0.09751, over 2774273.23 frames. utt_duration=242.7 frames, utt_pad_proportion=0.0731, over 45996.30 utterances.], batch size: 130, lr: 1.51e-04
+2022-09-19 20:36:25,287 INFO [train.py:885] (1/2) Epoch 31, batch 7800, loss[loss=0.2762, simple_loss=0.3571, pruned_loss=0.09763, over 14358.00 frames. utt_duration=236.8 frames, utt_pad_proportion=0.03337, over 244.00 utterances.], tot_loss[loss=0.2657, simple_loss=0.3395, pruned_loss=0.09596, over 2772567.64 frames. utt_duration=250.4 frames, utt_pad_proportion=0.07305, over 44560.98 utterances.], batch size: 244, lr: 1.51e-04
+2022-09-19 20:36:55,181 INFO [train.py:885] (1/2) Epoch 31, batch 7850, loss[loss=0.22, simple_loss=0.2851, pruned_loss=0.07752, over 13745.00 frames. utt_duration=917.8 frames, utt_pad_proportion=0.06915, over 60.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3409, pruned_loss=0.09657, over 2777585.92 frames. utt_duration=247.5 frames, utt_pad_proportion=0.07204, over 45167.83 utterances.], batch size: 60, lr: 1.51e-04
+2022-09-19 20:37:24,598 INFO [train.py:885] (1/2) Epoch 31, batch 7900, loss[loss=0.2637, simple_loss=0.3371, pruned_loss=0.09508, over 14266.00 frames. utt_duration=372 frames, utt_pad_proportion=0.04365, over 154.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3427, pruned_loss=0.097, over 2774977.17 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07332, over 46672.75 utterances.], batch size: 154, lr: 1.51e-04
+2022-09-19 20:37:54,075 INFO [train.py:885] (1/2) Epoch 31, batch 7950, loss[loss=0.1888, simple_loss=0.2725, pruned_loss=0.05259, over 13494.00 frames. utt_duration=1287 frames, utt_pad_proportion=0.09768, over 42.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3419, pruned_loss=0.09703, over 2778265.77 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07218, over 45607.21 utterances.], batch size: 42, lr: 1.51e-04
+2022-09-19 20:38:23,346 INFO [train.py:885] (1/2) Epoch 31, batch 8000, loss[loss=0.2964, simple_loss=0.3537, pruned_loss=0.1196, over 14305.00 frames. utt_duration=407.2 frames, utt_pad_proportion=0.0418, over 141.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3426, pruned_loss=0.09663, over 2782343.27 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07112, over 45745.97 utterances.], batch size: 141, lr: 1.51e-04
+2022-09-19 20:38:53,074 INFO [train.py:885] (1/2) Epoch 31, batch 8050, loss[loss=0.3065, simple_loss=0.411, pruned_loss=0.101, over 13635.00 frames. utt_duration=98.82 frames, utt_pad_proportion=0.07645, over 560.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3421, pruned_loss=0.09723, over 2780077.69 frames. utt_duration=246.6 frames, utt_pad_proportion=0.07175, over 45369.62 utterances.], batch size: 560, lr: 1.51e-04
+2022-09-19 20:39:22,022 INFO [train.py:885] (1/2) Epoch 31, batch 8100, loss[loss=0.3514, simple_loss=0.4066, pruned_loss=0.1482, over 14215.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04464, over 335.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3436, pruned_loss=0.09797, over 2781304.10 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07101, over 45751.49 utterances.], batch size: 335, lr: 1.51e-04
+2022-09-19 20:39:51,652 INFO [train.py:885] (1/2) Epoch 31, batch 8150, loss[loss=0.3999, simple_loss=0.4924, pruned_loss=0.1537, over 13181.00 frames. utt_duration=82.27 frames, utt_pad_proportion=0.1057, over 653.00 utterances.], tot_loss[loss=0.2708, simple_loss=0.3448, pruned_loss=0.09841, over 2776296.57 frames. utt_duration=237.8 frames, utt_pad_proportion=0.07492, over 47000.13 utterances.], batch size: 653, lr: 1.51e-04
+2022-09-19 20:40:21,540 INFO [train.py:885] (1/2) Epoch 31, batch 8200, loss[loss=0.3269, simple_loss=0.3876, pruned_loss=0.1331, over 14217.00 frames. utt_duration=171.1 frames, utt_pad_proportion=0.04401, over 335.00 utterances.], tot_loss[loss=0.2699, simple_loss=0.3445, pruned_loss=0.0977, over 2776164.58 frames. utt_duration=238.6 frames, utt_pad_proportion=0.07449, over 46826.91 utterances.], batch size: 335, lr: 1.51e-04
+2022-09-19 20:40:50,779 INFO [train.py:885] (1/2) Epoch 31, batch 8250, loss[loss=0.3338, simple_loss=0.3975, pruned_loss=0.1351, over 14205.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04442, over 306.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3433, pruned_loss=0.09687, over 2776537.28 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07407, over 46357.67 utterances.], batch size: 306, lr: 1.51e-04
+2022-09-19 20:41:20,149 INFO [train.py:885] (1/2) Epoch 31, batch 8300, loss[loss=0.3217, simple_loss=0.3799, pruned_loss=0.1317, over 14270.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04053, over 225.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3431, pruned_loss=0.09679, over 2780296.53 frames. utt_duration=244.8 frames, utt_pad_proportion=0.07291, over 45703.30 utterances.], batch size: 225, lr: 1.51e-04
+2022-09-19 20:41:49,354 INFO [train.py:885] (1/2) Epoch 31, batch 8350, loss[loss=0.2313, simple_loss=0.3137, pruned_loss=0.07449, over 14242.00 frames. utt_duration=405.4 frames, utt_pad_proportion=0.04622, over 141.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3421, pruned_loss=0.09667, over 2778142.95 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07188, over 45234.55 utterances.], batch size: 141, lr: 1.51e-04
+2022-09-19 20:42:19,327 INFO [train.py:885] (1/2) Epoch 31, batch 8400, loss[loss=0.2532, simple_loss=0.333, pruned_loss=0.08668, over 14319.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03849, over 195.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3431, pruned_loss=0.09667, over 2774580.32 frames. utt_duration=240.5 frames, utt_pad_proportion=0.07301, over 46431.59 utterances.], batch size: 195, lr: 1.51e-04
+2022-09-19 20:42:49,112 INFO [train.py:885] (1/2) Epoch 31, batch 8450, loss[loss=0.2817, simple_loss=0.3581, pruned_loss=0.1026, over 14344.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03646, over 210.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3453, pruned_loss=0.09757, over 2770308.60 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07606, over 47825.06 utterances.], batch size: 210, lr: 1.51e-04
+2022-09-19 20:43:18,488 INFO [train.py:885] (1/2) Epoch 31, batch 8500, loss[loss=0.1741, simple_loss=0.2597, pruned_loss=0.04422, over 13612.00 frames. utt_duration=908.9 frames, utt_pad_proportion=0.0875, over 60.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3426, pruned_loss=0.09672, over 2772618.71 frames. utt_duration=244.4 frames, utt_pad_proportion=0.07309, over 45656.34 utterances.], batch size: 60, lr: 1.51e-04
+2022-09-19 20:43:47,788 INFO [train.py:885] (1/2) Epoch 31, batch 8550, loss[loss=0.1527, simple_loss=0.2253, pruned_loss=0.04009, over 13639.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.07951, over 50.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3402, pruned_loss=0.09515, over 2772187.75 frames. utt_duration=249.1 frames, utt_pad_proportion=0.0737, over 44780.41 utterances.], batch size: 50, lr: 1.51e-04
+2022-09-19 20:44:16,453 INFO [train.py:885] (1/2) Epoch 31, batch 8600, loss[loss=0.3256, simple_loss=0.4308, pruned_loss=0.1102, over 13625.00 frames. utt_duration=98.64 frames, utt_pad_proportion=0.07809, over 560.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3396, pruned_loss=0.09522, over 2779079.30 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07021, over 44275.59 utterances.], batch size: 560, lr: 1.51e-04
+2022-09-19 20:44:46,545 INFO [train.py:885] (1/2) Epoch 31, batch 8650, loss[loss=0.1958, simple_loss=0.2712, pruned_loss=0.06017, over 14219.00 frames. utt_duration=640.6 frames, utt_pad_proportion=0.04535, over 89.00 utterances.], tot_loss[loss=0.267, simple_loss=0.3417, pruned_loss=0.09615, over 2776940.12 frames. utt_duration=247 frames, utt_pad_proportion=0.07265, over 45239.50 utterances.], batch size: 89, lr: 1.51e-04
+2022-09-19 20:45:16,443 INFO [train.py:885] (1/2) Epoch 31, batch 8700, loss[loss=0.31, simple_loss=0.3725, pruned_loss=0.1237, over 14220.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.04343, over 306.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3428, pruned_loss=0.09698, over 2777304.21 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07065, over 45080.31 utterances.], batch size: 306, lr: 1.51e-04
+2022-09-19 20:45:46,252 INFO [train.py:885] (1/2) Epoch 31, batch 8750, loss[loss=0.2606, simple_loss=0.3401, pruned_loss=0.09052, over 14171.00 frames. utt_duration=521.3 frames, utt_pad_proportion=0.04518, over 109.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3461, pruned_loss=0.09854, over 2772631.57 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07471, over 46620.19 utterances.], batch size: 109, lr: 1.51e-04
+2022-09-19 20:46:15,412 INFO [train.py:885] (1/2) Epoch 31, batch 8800, loss[loss=0.2245, simple_loss=0.3021, pruned_loss=0.07345, over 14278.00 frames. utt_duration=477.2 frames, utt_pad_proportion=0.04168, over 120.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3488, pruned_loss=0.09895, over 2772138.36 frames. utt_duration=232.6 frames, utt_pad_proportion=0.07525, over 47980.61 utterances.], batch size: 120, lr: 1.51e-04
+2022-09-19 20:46:45,400 INFO [train.py:885] (1/2) Epoch 31, batch 8850, loss[loss=0.2991, simple_loss=0.3774, pruned_loss=0.1104, over 14301.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03969, over 283.00 utterances.], tot_loss[loss=0.2731, simple_loss=0.3476, pruned_loss=0.09929, over 2769813.65 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07485, over 46746.22 utterances.], batch size: 283, lr: 1.51e-04
+2022-09-19 20:47:14,642 INFO [train.py:885] (1/2) Epoch 31, batch 8900, loss[loss=0.2587, simple_loss=0.3451, pruned_loss=0.08614, over 14346.00 frames. utt_duration=274.6 frames, utt_pad_proportion=0.03654, over 210.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3475, pruned_loss=0.09927, over 2771654.65 frames. utt_duration=236.9 frames, utt_pad_proportion=0.07402, over 47100.67 utterances.], batch size: 210, lr: 1.51e-04
+2022-09-19 20:47:44,340 INFO [train.py:885] (1/2) Epoch 31, batch 8950, loss[loss=0.4141, simple_loss=0.4568, pruned_loss=0.1856, over 14167.00 frames. utt_duration=186.9 frames, utt_pad_proportion=0.04657, over 306.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3476, pruned_loss=0.1001, over 2775522.03 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07314, over 46769.21 utterances.], batch size: 306, lr: 1.51e-04
+2022-09-19 20:48:13,840 INFO [train.py:885] (1/2) Epoch 31, batch 9000, loss[loss=0.3659, simple_loss=0.4205, pruned_loss=0.1556, over 14198.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04473, over 306.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3443, pruned_loss=0.09742, over 2780653.38 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07106, over 45752.79 utterances.], batch size: 306, lr: 1.51e-04
+2022-09-19 20:48:13,840 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 20:48:18,404 INFO [train.py:914] (1/2) Epoch 31, validation: loss=0.1913, simple_loss=0.2709, pruned_loss=0.05589, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 20:48:47,700 INFO [train.py:885] (1/2) Epoch 31, batch 9050, loss[loss=0.3079, simple_loss=0.3845, pruned_loss=0.1156, over 14201.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04452, over 306.00 utterances.], tot_loss[loss=0.2636, simple_loss=0.3378, pruned_loss=0.09466, over 2777818.71 frames. utt_duration=260.1 frames, utt_pad_proportion=0.06932, over 42966.52 utterances.], batch size: 306, lr: 1.51e-04
+2022-09-19 20:49:17,071 INFO [train.py:885] (1/2) Epoch 31, batch 9100, loss[loss=0.3069, simple_loss=0.4143, pruned_loss=0.0997, over 13601.00 frames. utt_duration=98.61 frames, utt_pad_proportion=0.0784, over 560.00 utterances.], tot_loss[loss=0.2651, simple_loss=0.3407, pruned_loss=0.09477, over 2779603.42 frames. utt_duration=248.6 frames, utt_pad_proportion=0.07025, over 44986.43 utterances.], batch size: 560, lr: 1.51e-04
+2022-09-19 20:49:46,213 INFO [train.py:885] (1/2) Epoch 31, batch 9150, loss[loss=0.3071, simple_loss=0.3709, pruned_loss=0.1217, over 14310.00 frames. utt_duration=319.5 frames, utt_pad_proportion=0.03757, over 180.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3411, pruned_loss=0.09569, over 2784081.28 frames. utt_duration=255.4 frames, utt_pad_proportion=0.069, over 43853.31 utterances.], batch size: 180, lr: 1.51e-04
+2022-09-19 20:50:15,618 INFO [train.py:885] (1/2) Epoch 31, batch 9200, loss[loss=0.1095, simple_loss=0.1571, pruned_loss=0.0309, over 12238.00 frames. utt_duration=2041 frames, utt_pad_proportion=0.1757, over 24.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3418, pruned_loss=0.0965, over 2778188.02 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07184, over 44783.93 utterances.], batch size: 24, lr: 1.51e-04
+2022-09-19 20:50:45,316 INFO [train.py:885] (1/2) Epoch 31, batch 9250, loss[loss=0.3258, simple_loss=0.4157, pruned_loss=0.1179, over 13780.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07043, over 411.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3435, pruned_loss=0.0977, over 2784830.70 frames. utt_duration=250.5 frames, utt_pad_proportion=0.06945, over 44729.33 utterances.], batch size: 411, lr: 1.51e-04
+2022-09-19 20:51:15,370 INFO [train.py:885] (1/2) Epoch 31, batch 9300, loss[loss=0.2503, simple_loss=0.3368, pruned_loss=0.08189, over 14301.00 frames. utt_duration=254.6 frames, utt_pad_proportion=0.03558, over 226.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3451, pruned_loss=0.09741, over 2778559.59 frames. utt_duration=241.3 frames, utt_pad_proportion=0.07394, over 46353.41 utterances.], batch size: 226, lr: 1.51e-04
+2022-09-19 20:51:44,769 INFO [train.py:885] (1/2) Epoch 31, batch 9350, loss[loss=0.1848, simple_loss=0.2312, pruned_loss=0.0692, over 12430.00 frames. utt_duration=2073 frames, utt_pad_proportion=0.1605, over 24.00 utterances.], tot_loss[loss=0.2716, simple_loss=0.3462, pruned_loss=0.09845, over 2779540.16 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07276, over 46544.54 utterances.], batch size: 24, lr: 1.51e-04
+2022-09-19 20:52:14,679 INFO [train.py:885] (1/2) Epoch 31, batch 9400, loss[loss=0.3171, simple_loss=0.384, pruned_loss=0.1251, over 14370.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03622, over 244.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3446, pruned_loss=0.09783, over 2774775.10 frames. utt_duration=242.3 frames, utt_pad_proportion=0.07486, over 46097.86 utterances.], batch size: 244, lr: 1.51e-04
+2022-09-19 20:52:45,610 INFO [train.py:885] (1/2) Epoch 31, batch 9450, loss[loss=0.1998, simple_loss=0.2746, pruned_loss=0.06254, over 13719.00 frames. utt_duration=796.6 frames, utt_pad_proportion=0.07265, over 69.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.344, pruned_loss=0.09766, over 2772506.44 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07521, over 45879.03 utterances.], batch size: 69, lr: 1.51e-04
+2022-09-19 20:53:15,574 INFO [train.py:885] (1/2) Epoch 31, batch 9500, loss[loss=0.4907, simple_loss=0.5855, pruned_loss=0.198, over 12514.00 frames. utt_duration=63.4 frames, utt_pad_proportion=0.1432, over 810.00 utterances.], tot_loss[loss=0.2713, simple_loss=0.346, pruned_loss=0.09829, over 2773382.48 frames. utt_duration=235.5 frames, utt_pad_proportion=0.07457, over 47396.90 utterances.], batch size: 810, lr: 1.51e-04
+2022-09-19 20:53:45,476 INFO [train.py:885] (1/2) Epoch 31, batch 9550, loss[loss=0.4054, simple_loss=0.4938, pruned_loss=0.1585, over 13635.00 frames. utt_duration=98.61 frames, utt_pad_proportion=0.07836, over 561.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3466, pruned_loss=0.09854, over 2779145.36 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07201, over 47674.89 utterances.], batch size: 561, lr: 1.51e-04
+2022-09-19 20:54:14,984 INFO [train.py:885] (1/2) Epoch 31, batch 9600, loss[loss=0.2042, simple_loss=0.2788, pruned_loss=0.06483, over 14194.00 frames. utt_duration=522.4 frames, utt_pad_proportion=0.04328, over 109.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3466, pruned_loss=0.09821, over 2781588.53 frames. utt_duration=234 frames, utt_pad_proportion=0.07145, over 47855.73 utterances.], batch size: 109, lr: 1.51e-04
+2022-09-19 20:54:44,635 INFO [train.py:885] (1/2) Epoch 31, batch 9650, loss[loss=0.1772, simple_loss=0.2533, pruned_loss=0.05052, over 13502.00 frames. utt_duration=1082 frames, utt_pad_proportion=0.08934, over 50.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3436, pruned_loss=0.09693, over 2780472.96 frames. utt_duration=241.1 frames, utt_pad_proportion=0.07136, over 46411.26 utterances.], batch size: 50, lr: 1.51e-04
+2022-09-19 20:55:14,425 INFO [train.py:885] (1/2) Epoch 31, batch 9700, loss[loss=0.2497, simple_loss=0.3252, pruned_loss=0.08712, over 14318.00 frames. utt_duration=441.8 frames, utt_pad_proportion=0.0395, over 130.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3456, pruned_loss=0.09737, over 2780319.22 frames. utt_duration=238.1 frames, utt_pad_proportion=0.07153, over 46996.72 utterances.], batch size: 130, lr: 1.51e-04
+2022-09-19 20:55:50,558 INFO [train.py:885] (1/2) Epoch 31, batch 9750, loss[loss=0.1795, simple_loss=0.2364, pruned_loss=0.0613, over 13515.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08078, over 50.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3417, pruned_loss=0.09543, over 2777909.98 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07218, over 45610.10 utterances.], batch size: 50, lr: 1.51e-04
+2022-09-19 20:56:20,144 INFO [train.py:885] (1/2) Epoch 31, batch 9800, loss[loss=0.4736, simple_loss=0.5754, pruned_loss=0.1859, over 12483.00 frames. utt_duration=63.2 frames, utt_pad_proportion=0.1459, over 810.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3423, pruned_loss=0.09571, over 2775914.69 frames. utt_duration=242.3 frames, utt_pad_proportion=0.0745, over 46105.85 utterances.], batch size: 810, lr: 1.51e-04
+2022-09-19 20:56:49,350 INFO [train.py:885] (1/2) Epoch 31, batch 9850, loss[loss=0.1945, simple_loss=0.2599, pruned_loss=0.06456, over 13498.00 frames. utt_duration=1319 frames, utt_pad_proportion=0.07988, over 41.00 utterances.], tot_loss[loss=0.2661, simple_loss=0.3416, pruned_loss=0.09533, over 2775843.86 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07435, over 45646.74 utterances.], batch size: 41, lr: 1.51e-04
+2022-09-19 20:57:18,232 INFO [train.py:885] (1/2) Epoch 31, batch 9900, loss[loss=0.2752, simple_loss=0.3604, pruned_loss=0.09495, over 14305.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04002, over 262.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3394, pruned_loss=0.09528, over 2781669.85 frames. utt_duration=253.6 frames, utt_pad_proportion=0.0706, over 44128.98 utterances.], batch size: 262, lr: 1.51e-04
+2022-09-19 20:57:47,554 INFO [train.py:885] (1/2) Epoch 31, batch 9950, loss[loss=0.1905, simple_loss=0.2548, pruned_loss=0.06317, over 12862.00 frames. utt_duration=1980 frames, utt_pad_proportion=0.1245, over 26.00 utterances.], tot_loss[loss=0.263, simple_loss=0.3372, pruned_loss=0.09434, over 2774024.66 frames. utt_duration=257.2 frames, utt_pad_proportion=0.07246, over 43385.41 utterances.], batch size: 26, lr: 1.51e-04
+2022-09-19 20:58:17,379 INFO [train.py:885] (1/2) Epoch 31, batch 10000, loss[loss=0.3067, simple_loss=0.4167, pruned_loss=0.09837, over 13614.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08161, over 477.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3429, pruned_loss=0.09716, over 2771591.44 frames. utt_duration=244.3 frames, utt_pad_proportion=0.07408, over 45661.21 utterances.], batch size: 477, lr: 1.51e-04
+2022-09-19 20:58:46,740 INFO [train.py:885] (1/2) Epoch 31, batch 10050, loss[loss=0.2349, simple_loss=0.3221, pruned_loss=0.07386, over 14281.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03988, over 180.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3399, pruned_loss=0.09535, over 2772530.16 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07339, over 44238.14 utterances.], batch size: 180, lr: 1.51e-04
+2022-09-19 20:59:15,967 INFO [train.py:885] (1/2) Epoch 31, batch 10100, loss[loss=0.1633, simple_loss=0.2231, pruned_loss=0.05175, over 13033.00 frames. utt_duration=1582 frames, utt_pad_proportion=0.1238, over 33.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.34, pruned_loss=0.09554, over 2772664.94 frames. utt_duration=252.5 frames, utt_pad_proportion=0.07303, over 44178.48 utterances.], batch size: 33, lr: 1.51e-04
+2022-09-19 20:59:45,810 INFO [train.py:885] (1/2) Epoch 31, batch 10150, loss[loss=0.2495, simple_loss=0.3147, pruned_loss=0.09208, over 14298.00 frames. utt_duration=407 frames, utt_pad_proportion=0.04237, over 141.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3465, pruned_loss=0.0988, over 2772699.08 frames. utt_duration=238.9 frames, utt_pad_proportion=0.075, over 46713.24 utterances.], batch size: 141, lr: 1.51e-04
+2022-09-19 21:00:15,061 INFO [train.py:885] (1/2) Epoch 31, batch 10200, loss[loss=0.2374, simple_loss=0.3226, pruned_loss=0.07607, over 14302.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03842, over 180.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3425, pruned_loss=0.09674, over 2775805.26 frames. utt_duration=249.3 frames, utt_pad_proportion=0.07303, over 44806.11 utterances.], batch size: 180, lr: 1.51e-04
+2022-09-19 21:00:45,322 INFO [train.py:885] (1/2) Epoch 31, batch 10250, loss[loss=0.3484, simple_loss=0.4278, pruned_loss=0.1346, over 14003.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.0562, over 365.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3437, pruned_loss=0.0974, over 2781503.84 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07197, over 45089.43 utterances.], batch size: 365, lr: 1.51e-04
+2022-09-19 21:01:14,665 INFO [train.py:885] (1/2) Epoch 31, batch 10300, loss[loss=0.1656, simple_loss=0.2478, pruned_loss=0.04172, over 13635.00 frames. utt_duration=1300 frames, utt_pad_proportion=0.08635, over 42.00 utterances.], tot_loss[loss=0.2659, simple_loss=0.3404, pruned_loss=0.09565, over 2779731.68 frames. utt_duration=254.9 frames, utt_pad_proportion=0.07123, over 43880.34 utterances.], batch size: 42, lr: 1.51e-04
+2022-09-19 21:01:44,653 INFO [train.py:885] (1/2) Epoch 31, batch 10350, loss[loss=0.1656, simple_loss=0.2276, pruned_loss=0.05174, over 12822.00 frames. utt_duration=2053 frames, utt_pad_proportion=0.1386, over 25.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.343, pruned_loss=0.09722, over 2780399.32 frames. utt_duration=251.6 frames, utt_pad_proportion=0.07014, over 44469.88 utterances.], batch size: 25, lr: 1.51e-04
+2022-09-19 21:02:13,608 INFO [train.py:885] (1/2) Epoch 31, batch 10400, loss[loss=0.2412, simple_loss=0.3259, pruned_loss=0.0783, over 14296.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.04138, over 154.00 utterances.], tot_loss[loss=0.2717, simple_loss=0.3462, pruned_loss=0.09862, over 2776976.75 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07337, over 46441.57 utterances.], batch size: 154, lr: 1.51e-04
+2022-09-19 21:02:43,437 INFO [train.py:885] (1/2) Epoch 31, batch 10450, loss[loss=0.1952, simple_loss=0.2848, pruned_loss=0.05282, over 14230.00 frames. utt_duration=405.2 frames, utt_pad_proportion=0.04439, over 141.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3456, pruned_loss=0.09827, over 2780656.37 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07272, over 46342.15 utterances.], batch size: 141, lr: 1.51e-04
+2022-09-19 21:03:13,019 INFO [train.py:885] (1/2) Epoch 31, batch 10500, loss[loss=0.2102, simple_loss=0.2924, pruned_loss=0.06401, over 14317.00 frames. utt_duration=478.6 frames, utt_pad_proportion=0.04078, over 120.00 utterances.], tot_loss[loss=0.2802, simple_loss=0.3538, pruned_loss=0.1033, over 2780601.08 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07377, over 48214.72 utterances.], batch size: 120, lr: 1.51e-04
+2022-09-19 21:03:42,755 INFO [train.py:885] (1/2) Epoch 31, batch 10550, loss[loss=0.1899, simple_loss=0.2413, pruned_loss=0.06928, over 13195.00 frames. utt_duration=1601 frames, utt_pad_proportion=0.1101, over 33.00 utterances.], tot_loss[loss=0.2784, simple_loss=0.3524, pruned_loss=0.1022, over 2772516.97 frames. utt_duration=232.7 frames, utt_pad_proportion=0.07503, over 47972.59 utterances.], batch size: 33, lr: 1.51e-04
+2022-09-19 21:04:12,431 INFO [train.py:885] (1/2) Epoch 31, batch 10600, loss[loss=0.2057, simple_loss=0.2914, pruned_loss=0.05997, over 14305.00 frames. utt_duration=478.1 frames, utt_pad_proportion=0.03986, over 120.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3467, pruned_loss=0.09961, over 2772862.81 frames. utt_duration=241.6 frames, utt_pad_proportion=0.07379, over 46188.41 utterances.], batch size: 120, lr: 1.51e-04
+2022-09-19 21:04:41,687 INFO [train.py:885] (1/2) Epoch 31, batch 10650, loss[loss=0.1719, simple_loss=0.2471, pruned_loss=0.04832, over 13825.00 frames. utt_duration=803.1 frames, utt_pad_proportion=0.064, over 69.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3447, pruned_loss=0.09818, over 2774142.87 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07181, over 45918.24 utterances.], batch size: 69, lr: 1.51e-04
+2022-09-19 21:05:11,713 INFO [train.py:885] (1/2) Epoch 31, batch 10700, loss[loss=0.3069, simple_loss=0.3729, pruned_loss=0.1204, over 14342.00 frames. utt_duration=295.8 frames, utt_pad_proportion=0.03663, over 195.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3461, pruned_loss=0.09905, over 2777046.73 frames. utt_duration=240.9 frames, utt_pad_proportion=0.07243, over 46400.79 utterances.], batch size: 195, lr: 1.51e-04
+2022-09-19 21:05:41,029 INFO [train.py:885] (1/2) Epoch 31, batch 10750, loss[loss=0.29, simple_loss=0.397, pruned_loss=0.09151, over 13654.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08028, over 477.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3436, pruned_loss=0.09678, over 2777324.98 frames. utt_duration=244 frames, utt_pad_proportion=0.07111, over 45812.04 utterances.], batch size: 477, lr: 1.51e-04
+2022-09-19 21:06:10,883 INFO [train.py:885] (1/2) Epoch 31, batch 10800, loss[loss=0.2784, simple_loss=0.3836, pruned_loss=0.08656, over 13772.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07199, over 411.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3426, pruned_loss=0.09594, over 2779136.69 frames. utt_duration=246.1 frames, utt_pad_proportion=0.069, over 45450.24 utterances.], batch size: 411, lr: 1.51e-04
+2022-09-19 21:06:39,429 INFO [train.py:885] (1/2) Epoch 31, batch 10850, loss[loss=0.1925, simple_loss=0.2553, pruned_loss=0.06487, over 13985.00 frames. utt_duration=812.3 frames, utt_pad_proportion=0.05433, over 69.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3426, pruned_loss=0.09674, over 2780283.76 frames. utt_duration=247.7 frames, utt_pad_proportion=0.06944, over 45169.06 utterances.], batch size: 69, lr: 1.51e-04
+2022-09-19 21:07:09,475 INFO [train.py:885] (1/2) Epoch 31, batch 10900, loss[loss=0.2324, simple_loss=0.3046, pruned_loss=0.08008, over 14295.00 frames. utt_duration=478 frames, utt_pad_proportion=0.04016, over 120.00 utterances.], tot_loss[loss=0.2676, simple_loss=0.3428, pruned_loss=0.09614, over 2784674.84 frames. utt_duration=247 frames, utt_pad_proportion=0.0693, over 45372.91 utterances.], batch size: 120, lr: 1.51e-04
+2022-09-19 21:07:38,890 INFO [train.py:885] (1/2) Epoch 31, batch 10950, loss[loss=0.1896, simple_loss=0.2665, pruned_loss=0.0563, over 13500.00 frames. utt_duration=1287 frames, utt_pad_proportion=0.09297, over 42.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.341, pruned_loss=0.09524, over 2781151.99 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07078, over 45070.03 utterances.], batch size: 42, lr: 1.51e-04
+2022-09-19 21:08:08,178 INFO [train.py:885] (1/2) Epoch 31, batch 11000, loss[loss=0.2705, simple_loss=0.3619, pruned_loss=0.08957, over 14007.00 frames. utt_duration=155 frames, utt_pad_proportion=0.05518, over 365.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3413, pruned_loss=0.09495, over 2780191.61 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07088, over 45014.89 utterances.], batch size: 365, lr: 1.50e-04
+2022-09-19 21:08:37,816 INFO [train.py:885] (1/2) Epoch 31, batch 11050, loss[loss=0.3239, simple_loss=0.3927, pruned_loss=0.1275, over 14269.00 frames. utt_duration=255.1 frames, utt_pad_proportion=0.04114, over 225.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3427, pruned_loss=0.09621, over 2776214.95 frames. utt_duration=244 frames, utt_pad_proportion=0.07138, over 45792.33 utterances.], batch size: 225, lr: 1.50e-04
+2022-09-19 21:09:07,660 INFO [train.py:885] (1/2) Epoch 31, batch 11100, loss[loss=0.3924, simple_loss=0.4703, pruned_loss=0.1573, over 13651.00 frames. utt_duration=98.91 frames, utt_pad_proportion=0.07562, over 560.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3434, pruned_loss=0.09623, over 2771743.30 frames. utt_duration=240 frames, utt_pad_proportion=0.07296, over 46472.28 utterances.], batch size: 560, lr: 1.50e-04
+2022-09-19 21:09:37,332 INFO [train.py:885] (1/2) Epoch 31, batch 11150, loss[loss=0.3154, simple_loss=0.4165, pruned_loss=0.1071, over 13623.00 frames. utt_duration=98.66 frames, utt_pad_proportion=0.0779, over 560.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.341, pruned_loss=0.09498, over 2776220.23 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07183, over 45017.52 utterances.], batch size: 560, lr: 1.50e-04
+2022-09-19 21:10:07,534 INFO [train.py:885] (1/2) Epoch 31, batch 11200, loss[loss=0.2314, simple_loss=0.2992, pruned_loss=0.08179, over 12727.00 frames. utt_duration=2038 frames, utt_pad_proportion=0.1446, over 25.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3448, pruned_loss=0.09689, over 2780161.83 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07054, over 45818.36 utterances.], batch size: 25, lr: 1.50e-04
+2022-09-19 21:10:36,842 INFO [train.py:885] (1/2) Epoch 31, batch 11250, loss[loss=0.3593, simple_loss=0.4138, pruned_loss=0.1524, over 14301.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04027, over 262.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3449, pruned_loss=0.09703, over 2779287.70 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07249, over 46252.75 utterances.], batch size: 262, lr: 1.50e-04
+2022-09-19 21:11:06,236 INFO [train.py:885] (1/2) Epoch 31, batch 11300, loss[loss=0.2258, simple_loss=0.298, pruned_loss=0.07681, over 14250.00 frames. utt_duration=405.7 frames, utt_pad_proportion=0.04542, over 141.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3433, pruned_loss=0.09654, over 2776927.64 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07068, over 45758.33 utterances.], batch size: 141, lr: 1.50e-04
+2022-09-19 21:11:36,084 INFO [train.py:885] (1/2) Epoch 31, batch 11350, loss[loss=0.1807, simple_loss=0.2574, pruned_loss=0.05198, over 13827.00 frames. utt_duration=803.1 frames, utt_pad_proportion=0.06402, over 69.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3469, pruned_loss=0.09714, over 2776716.10 frames. utt_duration=231.8 frames, utt_pad_proportion=0.07157, over 48228.31 utterances.], batch size: 69, lr: 1.50e-04
+2022-09-19 21:12:05,437 INFO [train.py:885] (1/2) Epoch 31, batch 11400, loss[loss=0.3156, simple_loss=0.4182, pruned_loss=0.1064, over 13634.00 frames. utt_duration=98.75 frames, utt_pad_proportion=0.07714, over 560.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3458, pruned_loss=0.09761, over 2780532.80 frames. utt_duration=239.3 frames, utt_pad_proportion=0.06976, over 46766.54 utterances.], batch size: 560, lr: 1.50e-04
+2022-09-19 21:12:34,667 INFO [train.py:885] (1/2) Epoch 31, batch 11450, loss[loss=0.2472, simple_loss=0.3374, pruned_loss=0.07853, over 14330.00 frames. utt_duration=274.3 frames, utt_pad_proportion=0.03759, over 210.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.343, pruned_loss=0.09673, over 2784221.82 frames. utt_duration=246.9 frames, utt_pad_proportion=0.0681, over 45370.61 utterances.], batch size: 210, lr: 1.50e-04
+2022-09-19 21:13:03,930 INFO [train.py:885] (1/2) Epoch 31, batch 11500, loss[loss=0.3152, simple_loss=0.4135, pruned_loss=0.1085, over 13675.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.0783, over 477.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3437, pruned_loss=0.09684, over 2783590.56 frames. utt_duration=244.1 frames, utt_pad_proportion=0.06937, over 45891.69 utterances.], batch size: 477, lr: 1.50e-04
+2022-09-19 21:13:34,161 INFO [train.py:885] (1/2) Epoch 31, batch 11550, loss[loss=0.1747, simple_loss=0.2383, pruned_loss=0.05556, over 13019.00 frames. utt_duration=1579 frames, utt_pad_proportion=0.1153, over 33.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3478, pruned_loss=0.09891, over 2778396.49 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07367, over 47815.06 utterances.], batch size: 33, lr: 1.50e-04
+2022-09-19 21:14:03,433 INFO [train.py:885] (1/2) Epoch 31, batch 11600, loss[loss=0.212, simple_loss=0.2796, pruned_loss=0.0722, over 14196.00 frames. utt_duration=639.4 frames, utt_pad_proportion=0.04563, over 89.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3453, pruned_loss=0.09737, over 2778932.51 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07347, over 46711.21 utterances.], batch size: 89, lr: 1.50e-04
+2022-09-19 21:14:33,126 INFO [train.py:885] (1/2) Epoch 31, batch 11650, loss[loss=0.1266, simple_loss=0.1839, pruned_loss=0.03467, over 12573.00 frames. utt_duration=2097 frames, utt_pad_proportion=0.1565, over 24.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.3444, pruned_loss=0.0971, over 2781526.10 frames. utt_duration=245.3 frames, utt_pad_proportion=0.07158, over 45635.91 utterances.], batch size: 24, lr: 1.50e-04
+2022-09-19 21:15:02,214 INFO [train.py:885] (1/2) Epoch 31, batch 11700, loss[loss=0.3029, simple_loss=0.3763, pruned_loss=0.1148, over 14216.00 frames. utt_duration=187.5 frames, utt_pad_proportion=0.0435, over 306.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3432, pruned_loss=0.09608, over 2782220.43 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07101, over 45286.46 utterances.], batch size: 306, lr: 1.50e-04
+2022-09-19 21:15:32,068 INFO [train.py:885] (1/2) Epoch 31, batch 11750, loss[loss=0.2214, simple_loss=0.287, pruned_loss=0.07793, over 14176.00 frames. utt_duration=638.5 frames, utt_pad_proportion=0.04839, over 89.00 utterances.], tot_loss[loss=0.2647, simple_loss=0.3398, pruned_loss=0.09477, over 2783987.48 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06967, over 43488.72 utterances.], batch size: 89, lr: 1.50e-04
+2022-09-19 21:16:01,356 INFO [train.py:885] (1/2) Epoch 31, batch 11800, loss[loss=0.1899, simple_loss=0.2552, pruned_loss=0.06229, over 13902.00 frames. utt_duration=807.2 frames, utt_pad_proportion=0.06143, over 69.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3414, pruned_loss=0.09506, over 2781906.72 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07083, over 44718.37 utterances.], batch size: 69, lr: 1.50e-04
+2022-09-19 21:16:31,156 INFO [train.py:885] (1/2) Epoch 31, batch 11850, loss[loss=0.3418, simple_loss=0.4443, pruned_loss=0.1196, over 13115.00 frames. utt_duration=81.94 frames, utt_pad_proportion=0.1093, over 653.00 utterances.], tot_loss[loss=0.2698, simple_loss=0.3447, pruned_loss=0.09744, over 2784181.19 frames. utt_duration=245.6 frames, utt_pad_proportion=0.07096, over 45621.06 utterances.], batch size: 653, lr: 1.50e-04
+2022-09-19 21:17:00,387 INFO [train.py:885] (1/2) Epoch 31, batch 11900, loss[loss=0.3267, simple_loss=0.3889, pruned_loss=0.1322, over 14298.00 frames. utt_duration=219.7 frames, utt_pad_proportion=0.0408, over 262.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3418, pruned_loss=0.09595, over 2785606.31 frames. utt_duration=252 frames, utt_pad_proportion=0.06921, over 44468.75 utterances.], batch size: 262, lr: 1.50e-04
+2022-09-19 21:17:30,830 INFO [train.py:885] (1/2) Epoch 31, batch 11950, loss[loss=0.2448, simple_loss=0.3279, pruned_loss=0.08086, over 14284.00 frames. utt_duration=406.4 frames, utt_pad_proportion=0.0437, over 141.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3438, pruned_loss=0.09734, over 2784627.13 frames. utt_duration=250.4 frames, utt_pad_proportion=0.06964, over 44749.72 utterances.], batch size: 141, lr: 1.50e-04
+2022-09-19 21:17:59,869 INFO [train.py:885] (1/2) Epoch 31, batch 12000, loss[loss=0.3081, simple_loss=0.3747, pruned_loss=0.1207, over 14303.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04038, over 262.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3434, pruned_loss=0.09694, over 2788700.15 frames. utt_duration=252 frames, utt_pad_proportion=0.06903, over 44529.43 utterances.], batch size: 262, lr: 1.50e-04
+2022-09-19 21:17:59,870 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 21:18:04,548 INFO [train.py:914] (1/2) Epoch 31, validation: loss=0.1912, simple_loss=0.2691, pruned_loss=0.05664, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 21:18:33,772 INFO [train.py:885] (1/2) Epoch 31, batch 12050, loss[loss=0.2399, simple_loss=0.2925, pruned_loss=0.09368, over 12927.00 frames. utt_duration=1568 frames, utt_pad_proportion=0.1243, over 33.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3408, pruned_loss=0.09596, over 2783858.69 frames. utt_duration=257.5 frames, utt_pad_proportion=0.06988, over 43489.12 utterances.], batch size: 33, lr: 1.50e-04
+2022-09-19 21:19:03,856 INFO [train.py:885] (1/2) Epoch 31, batch 12100, loss[loss=0.3358, simple_loss=0.4437, pruned_loss=0.1139, over 13180.00 frames. utt_duration=82.29 frames, utt_pad_proportion=0.1055, over 653.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3402, pruned_loss=0.09544, over 2781765.93 frames. utt_duration=254.4 frames, utt_pad_proportion=0.07226, over 43998.30 utterances.], batch size: 653, lr: 1.50e-04
+2022-09-19 21:19:33,251 INFO [train.py:885] (1/2) Epoch 31, batch 12150, loss[loss=0.18, simple_loss=0.2456, pruned_loss=0.05718, over 13407.00 frames. utt_duration=1309 frames, utt_pad_proportion=0.08559, over 41.00 utterances.], tot_loss[loss=0.2631, simple_loss=0.3382, pruned_loss=0.09398, over 2783491.45 frames. utt_duration=256.7 frames, utt_pad_proportion=0.07165, over 43624.61 utterances.], batch size: 41, lr: 1.50e-04
+2022-09-19 21:20:02,938 INFO [train.py:885] (1/2) Epoch 31, batch 12200, loss[loss=0.4722, simple_loss=0.5718, pruned_loss=0.1863, over 12453.00 frames. utt_duration=63.11 frames, utt_pad_proportion=0.1472, over 810.00 utterances.], tot_loss[loss=0.2641, simple_loss=0.3385, pruned_loss=0.09483, over 2784867.63 frames. utt_duration=259.8 frames, utt_pad_proportion=0.07039, over 43122.14 utterances.], batch size: 810, lr: 1.50e-04
+2022-09-19 21:20:36,902 INFO [train.py:885] (1/2) Epoch 31, batch 12250, loss[loss=0.2192, simple_loss=0.3062, pruned_loss=0.06616, over 14370.00 frames. utt_duration=480.1 frames, utt_pad_proportion=0.03591, over 120.00 utterances.], tot_loss[loss=0.2634, simple_loss=0.3383, pruned_loss=0.09428, over 2781037.99 frames. utt_duration=255.3 frames, utt_pad_proportion=0.07074, over 43829.78 utterances.], batch size: 120, lr: 1.50e-04
+2022-09-19 21:21:07,269 INFO [train.py:885] (1/2) Epoch 31, batch 12300, loss[loss=0.3175, simple_loss=0.3797, pruned_loss=0.1277, over 14311.00 frames. utt_duration=295.2 frames, utt_pad_proportion=0.03849, over 195.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3402, pruned_loss=0.0957, over 2784714.61 frames. utt_duration=254.5 frames, utt_pad_proportion=0.0709, over 44030.55 utterances.], batch size: 195, lr: 1.50e-04
+2022-09-19 21:21:37,695 INFO [train.py:885] (1/2) Epoch 31, batch 12350, loss[loss=0.2077, simple_loss=0.2836, pruned_loss=0.06589, over 14023.00 frames. utt_duration=711.6 frames, utt_pad_proportion=0.05877, over 79.00 utterances.], tot_loss[loss=0.2651, simple_loss=0.3399, pruned_loss=0.09515, over 2786203.62 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06973, over 44725.84 utterances.], batch size: 79, lr: 1.50e-04
+2022-09-19 21:22:07,587 INFO [train.py:885] (1/2) Epoch 31, batch 12400, loss[loss=0.322, simple_loss=0.3774, pruned_loss=0.1333, over 14270.00 frames. utt_duration=440.6 frames, utt_pad_proportion=0.04, over 130.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3416, pruned_loss=0.09608, over 2788150.23 frames. utt_duration=250.6 frames, utt_pad_proportion=0.06965, over 44758.05 utterances.], batch size: 130, lr: 1.50e-04
+2022-09-19 21:22:36,792 INFO [train.py:885] (1/2) Epoch 31, batch 12450, loss[loss=0.1891, simple_loss=0.2476, pruned_loss=0.06525, over 13882.00 frames. utt_duration=927.1 frames, utt_pad_proportion=0.06069, over 60.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3405, pruned_loss=0.09501, over 2789079.40 frames. utt_duration=251 frames, utt_pad_proportion=0.06943, over 44710.51 utterances.], batch size: 60, lr: 1.50e-04
+2022-09-19 21:23:06,340 INFO [train.py:885] (1/2) Epoch 31, batch 12500, loss[loss=0.2358, simple_loss=0.3209, pruned_loss=0.07534, over 14301.00 frames. utt_duration=373.1 frames, utt_pad_proportion=0.04096, over 154.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3426, pruned_loss=0.0958, over 2789974.55 frames. utt_duration=247.3 frames, utt_pad_proportion=0.07, over 45397.24 utterances.], batch size: 154, lr: 1.50e-04
+2022-09-19 21:23:35,697 INFO [train.py:885] (1/2) Epoch 31, batch 12550, loss[loss=0.4954, simple_loss=0.5875, pruned_loss=0.2016, over 12505.00 frames. utt_duration=63.26 frames, utt_pad_proportion=0.1451, over 811.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.3426, pruned_loss=0.09623, over 2784128.01 frames. utt_duration=246.2 frames, utt_pad_proportion=0.07184, over 45509.35 utterances.], batch size: 811, lr: 1.50e-04
+2022-09-19 21:24:03,515 INFO [train.py:885] (1/2) Epoch 31, batch 12600, loss[loss=0.2275, simple_loss=0.2829, pruned_loss=0.08599, over 14101.00 frames. utt_duration=577 frames, utt_pad_proportion=0.05405, over 98.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3421, pruned_loss=0.09558, over 2785113.22 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07166, over 45723.21 utterances.], batch size: 98, lr: 1.50e-04
+2022-09-19 21:24:22,594 INFO [train.py:885] (1/2) Epoch 32, batch 0, loss[loss=0.2837, simple_loss=0.3538, pruned_loss=0.1068, over 14295.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03915, over 154.00 utterances.], tot_loss[loss=0.2837, simple_loss=0.3538, pruned_loss=0.1068, over 14295.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03915, over 154.00 utterances.], batch size: 154, lr: 1.48e-04
+2022-09-19 21:24:52,428 INFO [train.py:885] (1/2) Epoch 32, batch 50, loss[loss=0.2612, simple_loss=0.3431, pruned_loss=0.08964, over 14299.00 frames. utt_duration=255.6 frames, utt_pad_proportion=0.03905, over 225.00 utterances.], tot_loss[loss=0.2657, simple_loss=0.342, pruned_loss=0.09472, over 630907.13 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06193, over 10343.47 utterances.], batch size: 225, lr: 1.48e-04
+2022-09-19 21:25:21,601 INFO [train.py:885] (1/2) Epoch 32, batch 100, loss[loss=0.271, simple_loss=0.351, pruned_loss=0.09553, over 14353.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03626, over 195.00 utterances.], tot_loss[loss=0.2603, simple_loss=0.3358, pruned_loss=0.09244, over 1109454.53 frames. utt_duration=263.6 frames, utt_pad_proportion=0.06112, over 16933.35 utterances.], batch size: 195, lr: 1.48e-04
+2022-09-19 21:25:51,392 INFO [train.py:885] (1/2) Epoch 32, batch 150, loss[loss=0.1634, simple_loss=0.2246, pruned_loss=0.05111, over 13011.00 frames. utt_duration=1579 frames, utt_pad_proportion=0.1199, over 33.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3401, pruned_loss=0.09529, over 1477374.77 frames. utt_duration=253.2 frames, utt_pad_proportion=0.0686, over 23480.66 utterances.], batch size: 33, lr: 1.48e-04
+2022-09-19 21:26:20,441 INFO [train.py:885] (1/2) Epoch 32, batch 200, loss[loss=0.2536, simple_loss=0.3438, pruned_loss=0.08173, over 14335.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03695, over 195.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3423, pruned_loss=0.09626, over 1769159.52 frames. utt_duration=250 frames, utt_pad_proportion=0.06745, over 28479.76 utterances.], batch size: 195, lr: 1.48e-04
+2022-09-19 21:26:50,401 INFO [train.py:885] (1/2) Epoch 32, batch 250, loss[loss=0.2384, simple_loss=0.3044, pruned_loss=0.08621, over 14142.00 frames. utt_duration=578.7 frames, utt_pad_proportion=0.0513, over 98.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3452, pruned_loss=0.09789, over 1993305.40 frames. utt_duration=247.4 frames, utt_pad_proportion=0.06916, over 32425.37 utterances.], batch size: 98, lr: 1.48e-04
+2022-09-19 21:27:20,452 INFO [train.py:885] (1/2) Epoch 32, batch 300, loss[loss=0.2965, simple_loss=0.3712, pruned_loss=0.1109, over 14331.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03501, over 244.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3463, pruned_loss=0.09795, over 2168465.25 frames. utt_duration=239.1 frames, utt_pad_proportion=0.07097, over 36498.94 utterances.], batch size: 244, lr: 1.48e-04
+2022-09-19 21:27:49,534 INFO [train.py:885] (1/2) Epoch 32, batch 350, loss[loss=0.3582, simple_loss=0.4605, pruned_loss=0.1279, over 13211.00 frames. utt_duration=82.44 frames, utt_pad_proportion=0.1039, over 653.00 utterances.], tot_loss[loss=0.2636, simple_loss=0.3393, pruned_loss=0.094, over 2307295.69 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06878, over 37149.63 utterances.], batch size: 653, lr: 1.48e-04
+2022-09-19 21:28:19,261 INFO [train.py:885] (1/2) Epoch 32, batch 400, loss[loss=0.4907, simple_loss=0.585, pruned_loss=0.1982, over 12531.00 frames. utt_duration=63.42 frames, utt_pad_proportion=0.1429, over 810.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3415, pruned_loss=0.0955, over 2411306.53 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07124, over 39252.32 utterances.], batch size: 810, lr: 1.48e-04
+2022-09-19 21:28:48,999 INFO [train.py:885] (1/2) Epoch 32, batch 450, loss[loss=0.1649, simple_loss=0.2418, pruned_loss=0.04397, over 14149.00 frames. utt_duration=717.7 frames, utt_pad_proportion=0.05067, over 79.00 utterances.], tot_loss[loss=0.2645, simple_loss=0.3401, pruned_loss=0.09442, over 2494872.28 frames. utt_duration=251.9 frames, utt_pad_proportion=0.07152, over 39851.73 utterances.], batch size: 79, lr: 1.48e-04
+2022-09-19 21:29:19,023 INFO [train.py:885] (1/2) Epoch 32, batch 500, loss[loss=0.4113, simple_loss=0.4983, pruned_loss=0.1621, over 13172.00 frames. utt_duration=82.26 frames, utt_pad_proportion=0.1058, over 653.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3447, pruned_loss=0.09603, over 2559714.59 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07308, over 42974.40 utterances.], batch size: 653, lr: 1.48e-04
+2022-09-19 21:29:48,466 INFO [train.py:885] (1/2) Epoch 32, batch 550, loss[loss=0.2196, simple_loss=0.2922, pruned_loss=0.07349, over 14160.00 frames. utt_duration=521.1 frames, utt_pad_proportion=0.0456, over 109.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3451, pruned_loss=0.09614, over 2613046.54 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07175, over 43952.97 utterances.], batch size: 109, lr: 1.48e-04
+2022-09-19 21:30:18,461 INFO [train.py:885] (1/2) Epoch 32, batch 600, loss[loss=0.1692, simple_loss=0.2372, pruned_loss=0.05054, over 13843.00 frames. utt_duration=924.3 frames, utt_pad_proportion=0.07109, over 60.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3463, pruned_loss=0.097, over 2652672.39 frames. utt_duration=236.7 frames, utt_pad_proportion=0.07176, over 45115.95 utterances.], batch size: 60, lr: 1.48e-04
+2022-09-19 21:30:47,731 INFO [train.py:885] (1/2) Epoch 32, batch 650, loss[loss=0.2439, simple_loss=0.3196, pruned_loss=0.08413, over 14302.00 frames. utt_duration=478.2 frames, utt_pad_proportion=0.03983, over 120.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3429, pruned_loss=0.09571, over 2679548.94 frames. utt_duration=243.7 frames, utt_pad_proportion=0.07204, over 44243.17 utterances.], batch size: 120, lr: 1.48e-04
+2022-09-19 21:31:17,742 INFO [train.py:885] (1/2) Epoch 32, batch 700, loss[loss=0.2033, simple_loss=0.2803, pruned_loss=0.06318, over 13614.00 frames. utt_duration=1090 frames, utt_pad_proportion=0.08443, over 50.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.344, pruned_loss=0.09611, over 2699773.79 frames. utt_duration=239.2 frames, utt_pad_proportion=0.07395, over 45422.76 utterances.], batch size: 50, lr: 1.48e-04
+2022-09-19 21:31:47,111 INFO [train.py:885] (1/2) Epoch 32, batch 750, loss[loss=0.2057, simple_loss=0.2907, pruned_loss=0.06032, over 14319.00 frames. utt_duration=478.7 frames, utt_pad_proportion=0.03872, over 120.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3424, pruned_loss=0.09558, over 2723487.25 frames. utt_duration=243.9 frames, utt_pad_proportion=0.07128, over 44940.29 utterances.], batch size: 120, lr: 1.48e-04
+2022-09-19 21:32:18,630 INFO [train.py:885] (1/2) Epoch 32, batch 800, loss[loss=0.2322, simple_loss=0.306, pruned_loss=0.07918, over 14074.00 frames. utt_duration=575.9 frames, utt_pad_proportion=0.05427, over 98.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.3419, pruned_loss=0.09482, over 2733065.65 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07158, over 45354.49 utterances.], batch size: 98, lr: 1.48e-04
+2022-09-19 21:32:48,175 INFO [train.py:885] (1/2) Epoch 32, batch 850, loss[loss=0.2005, simple_loss=0.2649, pruned_loss=0.06808, over 13600.00 frames. utt_duration=1328 frames, utt_pad_proportion=0.07312, over 41.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3452, pruned_loss=0.09649, over 2741178.10 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07343, over 47176.92 utterances.], batch size: 41, lr: 1.48e-04
+2022-09-19 21:33:19,734 INFO [train.py:885] (1/2) Epoch 32, batch 900, loss[loss=0.1724, simple_loss=0.2534, pruned_loss=0.0457, over 13551.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.08785, over 50.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3433, pruned_loss=0.09567, over 2750127.00 frames. utt_duration=240.2 frames, utt_pad_proportion=0.07234, over 46076.36 utterances.], batch size: 50, lr: 1.48e-04
+2022-09-19 21:33:49,828 INFO [train.py:885] (1/2) Epoch 32, batch 950, loss[loss=0.2464, simple_loss=0.3282, pruned_loss=0.08229, over 14262.00 frames. utt_duration=520.2 frames, utt_pad_proportion=0.04194, over 110.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3406, pruned_loss=0.09515, over 2758553.97 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07087, over 44264.42 utterances.], batch size: 110, lr: 1.48e-04
+2022-09-19 21:34:20,651 INFO [train.py:885] (1/2) Epoch 32, batch 1000, loss[loss=0.1907, simple_loss=0.271, pruned_loss=0.05524, over 14119.00 frames. utt_duration=577.8 frames, utt_pad_proportion=0.05117, over 98.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3431, pruned_loss=0.09641, over 2764863.03 frames. utt_duration=248.4 frames, utt_pad_proportion=0.07138, over 44792.99 utterances.], batch size: 98, lr: 1.48e-04
+2022-09-19 21:34:54,197 INFO [train.py:885] (1/2) Epoch 32, batch 1050, loss[loss=0.256, simple_loss=0.3245, pruned_loss=0.09378, over 14239.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04644, over 141.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3438, pruned_loss=0.097, over 2766297.09 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07129, over 45087.13 utterances.], batch size: 141, lr: 1.48e-04
+2022-09-19 21:35:28,258 INFO [train.py:885] (1/2) Epoch 32, batch 1100, loss[loss=0.334, simple_loss=0.4078, pruned_loss=0.1301, over 13824.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07122, over 412.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3446, pruned_loss=0.09718, over 2768373.65 frames. utt_duration=240.4 frames, utt_pad_proportion=0.07134, over 46342.44 utterances.], batch size: 412, lr: 1.48e-04
+2022-09-19 21:35:58,694 INFO [train.py:885] (1/2) Epoch 32, batch 1150, loss[loss=0.344, simple_loss=0.4004, pruned_loss=0.1438, over 14264.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.04067, over 225.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3416, pruned_loss=0.09593, over 2774635.17 frames. utt_duration=250.3 frames, utt_pad_proportion=0.0691, over 44607.23 utterances.], batch size: 225, lr: 1.48e-04
+2022-09-19 21:36:28,822 INFO [train.py:885] (1/2) Epoch 32, batch 1200, loss[loss=0.24, simple_loss=0.3223, pruned_loss=0.07883, over 14277.00 frames. utt_duration=406.3 frames, utt_pad_proportion=0.04406, over 141.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3433, pruned_loss=0.09628, over 2773868.61 frames. utt_duration=244 frames, utt_pad_proportion=0.07039, over 45744.91 utterances.], batch size: 141, lr: 1.48e-04
+2022-09-19 21:36:58,832 INFO [train.py:885] (1/2) Epoch 32, batch 1250, loss[loss=0.1492, simple_loss=0.209, pruned_loss=0.04474, over 13339.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.08819, over 41.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3427, pruned_loss=0.09641, over 2777930.46 frames. utt_duration=248.1 frames, utt_pad_proportion=0.07106, over 45060.56 utterances.], batch size: 41, lr: 1.48e-04
+2022-09-19 21:37:28,885 INFO [train.py:885] (1/2) Epoch 32, batch 1300, loss[loss=0.1904, simple_loss=0.2598, pruned_loss=0.06053, over 14039.00 frames. utt_duration=712.3 frames, utt_pad_proportion=0.05655, over 79.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3422, pruned_loss=0.09662, over 2777545.63 frames. utt_duration=250.9 frames, utt_pad_proportion=0.07182, over 44540.54 utterances.], batch size: 79, lr: 1.48e-04
+2022-09-19 21:37:59,445 INFO [train.py:885] (1/2) Epoch 32, batch 1350, loss[loss=0.2092, simple_loss=0.279, pruned_loss=0.06975, over 14038.00 frames. utt_duration=711.9 frames, utt_pad_proportion=0.05834, over 79.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.342, pruned_loss=0.09614, over 2774187.19 frames. utt_duration=247.1 frames, utt_pad_proportion=0.07296, over 45183.68 utterances.], batch size: 79, lr: 1.48e-04
+2022-09-19 21:38:28,920 INFO [train.py:885] (1/2) Epoch 32, batch 1400, loss[loss=0.1308, simple_loss=0.183, pruned_loss=0.03934, over 13307.00 frames. utt_duration=1615 frames, utt_pad_proportion=0.101, over 33.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.342, pruned_loss=0.09616, over 2777196.17 frames. utt_duration=249.6 frames, utt_pad_proportion=0.07149, over 44763.48 utterances.], batch size: 33, lr: 1.48e-04
+2022-09-19 21:38:59,353 INFO [train.py:885] (1/2) Epoch 32, batch 1450, loss[loss=0.3251, simple_loss=0.3984, pruned_loss=0.1259, over 14024.00 frames. utt_duration=155.2 frames, utt_pad_proportion=0.05356, over 365.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3437, pruned_loss=0.09734, over 2776297.80 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07309, over 45755.10 utterances.], batch size: 365, lr: 1.48e-04
+2022-09-19 21:39:30,117 INFO [train.py:885] (1/2) Epoch 32, batch 1500, loss[loss=0.3418, simple_loss=0.4127, pruned_loss=0.1355, over 13967.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05762, over 365.00 utterances.], tot_loss[loss=0.272, simple_loss=0.3476, pruned_loss=0.09817, over 2777998.61 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07291, over 48156.90 utterances.], batch size: 365, lr: 1.48e-04
+2022-09-19 21:39:59,311 INFO [train.py:885] (1/2) Epoch 32, batch 1550, loss[loss=0.1234, simple_loss=0.1809, pruned_loss=0.03297, over 13305.00 frames. utt_duration=1614 frames, utt_pad_proportion=0.09074, over 33.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.344, pruned_loss=0.09672, over 2779862.79 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07258, over 46150.67 utterances.], batch size: 33, lr: 1.48e-04
+2022-09-19 21:40:30,219 INFO [train.py:885] (1/2) Epoch 32, batch 1600, loss[loss=0.2817, simple_loss=0.3942, pruned_loss=0.08461, over 13615.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08184, over 477.00 utterances.], tot_loss[loss=0.2732, simple_loss=0.3486, pruned_loss=0.09887, over 2776837.95 frames. utt_duration=232.1 frames, utt_pad_proportion=0.07481, over 48171.23 utterances.], batch size: 477, lr: 1.48e-04
+2022-09-19 21:40:59,906 INFO [train.py:885] (1/2) Epoch 32, batch 1650, loss[loss=0.3244, simple_loss=0.4145, pruned_loss=0.1172, over 13636.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08262, over 478.00 utterances.], tot_loss[loss=0.2752, simple_loss=0.3506, pruned_loss=0.09993, over 2779178.82 frames. utt_duration=228.4 frames, utt_pad_proportion=0.07455, over 48995.34 utterances.], batch size: 478, lr: 1.48e-04
+2022-09-19 21:41:30,677 INFO [train.py:885] (1/2) Epoch 32, batch 1700, loss[loss=0.275, simple_loss=0.3791, pruned_loss=0.08551, over 13779.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07134, over 411.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3462, pruned_loss=0.09748, over 2779181.71 frames. utt_duration=234 frames, utt_pad_proportion=0.07459, over 47799.57 utterances.], batch size: 411, lr: 1.48e-04
+2022-09-19 21:42:00,217 INFO [train.py:885] (1/2) Epoch 32, batch 1750, loss[loss=0.4358, simple_loss=0.4613, pruned_loss=0.2052, over 14322.00 frames. utt_duration=274.2 frames, utt_pad_proportion=0.03799, over 210.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3435, pruned_loss=0.09656, over 2782037.76 frames. utt_duration=242.1 frames, utt_pad_proportion=0.0719, over 46255.02 utterances.], batch size: 210, lr: 1.48e-04
+2022-09-19 21:42:29,588 INFO [train.py:885] (1/2) Epoch 32, batch 1800, loss[loss=0.2172, simple_loss=0.2876, pruned_loss=0.07341, over 14176.00 frames. utt_duration=638.6 frames, utt_pad_proportion=0.04687, over 89.00 utterances.], tot_loss[loss=0.2653, simple_loss=0.3408, pruned_loss=0.09495, over 2783408.78 frames. utt_duration=250.2 frames, utt_pad_proportion=0.06978, over 44754.18 utterances.], batch size: 89, lr: 1.47e-04
+2022-09-19 21:42:59,928 INFO [train.py:885] (1/2) Epoch 32, batch 1850, loss[loss=0.2981, simple_loss=0.3649, pruned_loss=0.1157, over 14338.00 frames. utt_duration=319.9 frames, utt_pad_proportion=0.03645, over 180.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3428, pruned_loss=0.09695, over 2780219.15 frames. utt_duration=246 frames, utt_pad_proportion=0.07283, over 45480.73 utterances.], batch size: 180, lr: 1.47e-04
+2022-09-19 21:43:31,274 INFO [train.py:885] (1/2) Epoch 32, batch 1900, loss[loss=0.1703, simple_loss=0.2533, pruned_loss=0.04368, over 13079.00 frames. utt_duration=2014 frames, utt_pad_proportion=0.09784, over 26.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.342, pruned_loss=0.09685, over 2778993.85 frames. utt_duration=251 frames, utt_pad_proportion=0.07269, over 44546.08 utterances.], batch size: 26, lr: 1.47e-04
+2022-09-19 21:44:01,387 INFO [train.py:885] (1/2) Epoch 32, batch 1950, loss[loss=0.2066, simple_loss=0.2666, pruned_loss=0.07335, over 14072.00 frames. utt_duration=805.7 frames, utt_pad_proportion=0.0588, over 70.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3412, pruned_loss=0.09652, over 2780388.23 frames. utt_duration=252.3 frames, utt_pad_proportion=0.07174, over 44336.00 utterances.], batch size: 70, lr: 1.47e-04
+2022-09-19 21:44:31,457 INFO [train.py:885] (1/2) Epoch 32, batch 2000, loss[loss=0.2329, simple_loss=0.3204, pruned_loss=0.07272, over 14291.00 frames. utt_duration=372.6 frames, utt_pad_proportion=0.03961, over 154.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3406, pruned_loss=0.09603, over 2786940.24 frames. utt_duration=255.8 frames, utt_pad_proportion=0.06953, over 43834.85 utterances.], batch size: 154, lr: 1.47e-04
+2022-09-19 21:45:01,248 INFO [train.py:885] (1/2) Epoch 32, batch 2050, loss[loss=0.1227, simple_loss=0.1797, pruned_loss=0.03288, over 12456.00 frames. utt_duration=2077 frames, utt_pad_proportion=0.1395, over 24.00 utterances.], tot_loss[loss=0.2642, simple_loss=0.3383, pruned_loss=0.09502, over 2789736.70 frames. utt_duration=264.7 frames, utt_pad_proportion=0.06872, over 42388.82 utterances.], batch size: 24, lr: 1.47e-04
+2022-09-19 21:45:30,714 INFO [train.py:885] (1/2) Epoch 32, batch 2100, loss[loss=0.3347, simple_loss=0.3998, pruned_loss=0.1348, over 14237.00 frames. utt_duration=171.3 frames, utt_pad_proportion=0.04311, over 335.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3411, pruned_loss=0.09633, over 2789573.97 frames. utt_duration=257.9 frames, utt_pad_proportion=0.06928, over 43514.28 utterances.], batch size: 335, lr: 1.47e-04
+2022-09-19 21:46:00,729 INFO [train.py:885] (1/2) Epoch 32, batch 2150, loss[loss=0.2925, simple_loss=0.3706, pruned_loss=0.1072, over 14335.00 frames. utt_duration=236.3 frames, utt_pad_proportion=0.03545, over 244.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3463, pruned_loss=0.0979, over 2786908.04 frames. utt_duration=242 frames, utt_pad_proportion=0.07178, over 46349.76 utterances.], batch size: 244, lr: 1.47e-04
+2022-09-19 21:46:31,253 INFO [train.py:885] (1/2) Epoch 32, batch 2200, loss[loss=0.1636, simple_loss=0.2421, pruned_loss=0.04253, over 13339.00 frames. utt_duration=1303 frames, utt_pad_proportion=0.09002, over 41.00 utterances.], tot_loss[loss=0.2673, simple_loss=0.3425, pruned_loss=0.09605, over 2782906.28 frames. utt_duration=246.7 frames, utt_pad_proportion=0.07143, over 45387.77 utterances.], batch size: 41, lr: 1.47e-04
+2022-09-19 21:47:00,635 INFO [train.py:885] (1/2) Epoch 32, batch 2250, loss[loss=0.2214, simple_loss=0.2958, pruned_loss=0.07348, over 14122.00 frames. utt_duration=578 frames, utt_pad_proportion=0.05092, over 98.00 utterances.], tot_loss[loss=0.266, simple_loss=0.341, pruned_loss=0.09552, over 2787264.42 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06976, over 44087.89 utterances.], batch size: 98, lr: 1.47e-04
+2022-09-19 21:47:30,636 INFO [train.py:885] (1/2) Epoch 32, batch 2300, loss[loss=0.2785, simple_loss=0.3561, pruned_loss=0.1004, over 14334.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03787, over 283.00 utterances.], tot_loss[loss=0.2637, simple_loss=0.3391, pruned_loss=0.09415, over 2779597.59 frames. utt_duration=252.2 frames, utt_pad_proportion=0.07024, over 44346.67 utterances.], batch size: 283, lr: 1.47e-04
+2022-09-19 21:48:01,404 INFO [train.py:885] (1/2) Epoch 32, batch 2350, loss[loss=0.2034, simple_loss=0.2939, pruned_loss=0.05641, over 13520.00 frames. utt_duration=1083 frames, utt_pad_proportion=0.08685, over 50.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3433, pruned_loss=0.09624, over 2775491.09 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07332, over 46171.71 utterances.], batch size: 50, lr: 1.47e-04
+2022-09-19 21:48:31,309 INFO [train.py:885] (1/2) Epoch 32, batch 2400, loss[loss=0.2812, simple_loss=0.3597, pruned_loss=0.1014, over 14316.00 frames. utt_duration=319.6 frames, utt_pad_proportion=0.03737, over 180.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.343, pruned_loss=0.09631, over 2780499.21 frames. utt_duration=250 frames, utt_pad_proportion=0.07085, over 44755.87 utterances.], batch size: 180, lr: 1.47e-04
+2022-09-19 21:49:02,355 INFO [train.py:885] (1/2) Epoch 32, batch 2450, loss[loss=0.264, simple_loss=0.3448, pruned_loss=0.09162, over 14264.00 frames. utt_duration=318.4 frames, utt_pad_proportion=0.04091, over 180.00 utterances.], tot_loss[loss=0.2678, simple_loss=0.3429, pruned_loss=0.0964, over 2776150.91 frames. utt_duration=247.7 frames, utt_pad_proportion=0.07376, over 45107.06 utterances.], batch size: 180, lr: 1.47e-04
+2022-09-19 21:49:33,005 INFO [train.py:885] (1/2) Epoch 32, batch 2500, loss[loss=0.4851, simple_loss=0.5622, pruned_loss=0.204, over 13143.00 frames. utt_duration=82.03 frames, utt_pad_proportion=0.1084, over 653.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3444, pruned_loss=0.09746, over 2775292.11 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07347, over 46245.28 utterances.], batch size: 653, lr: 1.47e-04
+2022-09-19 21:50:02,994 INFO [train.py:885] (1/2) Epoch 32, batch 2550, loss[loss=0.3106, simple_loss=0.3837, pruned_loss=0.1187, over 14225.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04263, over 306.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3457, pruned_loss=0.09803, over 2773273.42 frames. utt_duration=238.6 frames, utt_pad_proportion=0.0745, over 46785.28 utterances.], batch size: 306, lr: 1.47e-04
+2022-09-19 21:50:33,747 INFO [train.py:885] (1/2) Epoch 32, batch 2600, loss[loss=0.3088, simple_loss=0.3752, pruned_loss=0.1212, over 14315.00 frames. utt_duration=203.7 frames, utt_pad_proportion=0.03897, over 283.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.344, pruned_loss=0.09767, over 2776718.76 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07428, over 45908.63 utterances.], batch size: 283, lr: 1.47e-04
+2022-09-19 21:51:03,974 INFO [train.py:885] (1/2) Epoch 32, batch 2650, loss[loss=0.3526, simple_loss=0.4041, pruned_loss=0.1506, over 14202.00 frames. utt_duration=187.2 frames, utt_pad_proportion=0.04482, over 306.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3466, pruned_loss=0.09856, over 2780242.68 frames. utt_duration=239 frames, utt_pad_proportion=0.07282, over 46818.36 utterances.], batch size: 306, lr: 1.47e-04
+2022-09-19 21:51:33,545 INFO [train.py:885] (1/2) Epoch 32, batch 2700, loss[loss=0.4079, simple_loss=0.4492, pruned_loss=0.1833, over 14215.00 frames. utt_duration=187.4 frames, utt_pad_proportion=0.04388, over 306.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3475, pruned_loss=0.09808, over 2774918.28 frames. utt_duration=232.2 frames, utt_pad_proportion=0.07544, over 48102.93 utterances.], batch size: 306, lr: 1.47e-04
+2022-09-19 21:52:03,687 INFO [train.py:885] (1/2) Epoch 32, batch 2750, loss[loss=0.1736, simple_loss=0.2285, pruned_loss=0.0593, over 12935.00 frames. utt_duration=2071 frames, utt_pad_proportion=0.1356, over 25.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3452, pruned_loss=0.09791, over 2775686.58 frames. utt_duration=238.5 frames, utt_pad_proportion=0.07393, over 46847.22 utterances.], batch size: 25, lr: 1.47e-04
+2022-09-19 21:52:34,547 INFO [train.py:885] (1/2) Epoch 32, batch 2800, loss[loss=0.1993, simple_loss=0.2687, pruned_loss=0.06498, over 13218.00 frames. utt_duration=2035 frames, utt_pad_proportion=0.09798, over 26.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.344, pruned_loss=0.09755, over 2771874.67 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07466, over 46548.10 utterances.], batch size: 26, lr: 1.47e-04
+2022-09-19 21:53:04,734 INFO [train.py:885] (1/2) Epoch 32, batch 2850, loss[loss=0.236, simple_loss=0.3093, pruned_loss=0.08131, over 14337.00 frames. utt_duration=442.6 frames, utt_pad_proportion=0.03776, over 130.00 utterances.], tot_loss[loss=0.2646, simple_loss=0.339, pruned_loss=0.09514, over 2777123.20 frames. utt_duration=253.8 frames, utt_pad_proportion=0.07234, over 44018.55 utterances.], batch size: 130, lr: 1.47e-04
+2022-09-19 21:53:34,429 INFO [train.py:885] (1/2) Epoch 32, batch 2900, loss[loss=0.2005, simple_loss=0.278, pruned_loss=0.06151, over 14065.00 frames. utt_duration=713.4 frames, utt_pad_proportion=0.05129, over 79.00 utterances.], tot_loss[loss=0.2616, simple_loss=0.3356, pruned_loss=0.0938, over 2779965.03 frames. utt_duration=265.6 frames, utt_pad_proportion=0.06934, over 42098.21 utterances.], batch size: 79, lr: 1.47e-04
+2022-09-19 21:54:05,056 INFO [train.py:885] (1/2) Epoch 32, batch 2950, loss[loss=0.2387, simple_loss=0.3026, pruned_loss=0.08737, over 14051.00 frames. utt_duration=575.1 frames, utt_pad_proportion=0.05721, over 98.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3435, pruned_loss=0.09769, over 2777859.51 frames. utt_duration=244.1 frames, utt_pad_proportion=0.07341, over 45790.53 utterances.], batch size: 98, lr: 1.47e-04
+2022-09-19 21:54:34,249 INFO [train.py:885] (1/2) Epoch 32, batch 3000, loss[loss=0.3232, simple_loss=0.3901, pruned_loss=0.1281, over 14231.00 frames. utt_duration=187.6 frames, utt_pad_proportion=0.04267, over 306.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3446, pruned_loss=0.0974, over 2776325.76 frames. utt_duration=242 frames, utt_pad_proportion=0.07319, over 46178.60 utterances.], batch size: 306, lr: 1.47e-04
+2022-09-19 21:54:34,250 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 21:54:38,838 INFO [train.py:914] (1/2) Epoch 32, validation: loss=0.1846, simple_loss=0.2651, pruned_loss=0.05205, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 21:55:07,996 INFO [train.py:885] (1/2) Epoch 32, batch 3050, loss[loss=0.4323, simple_loss=0.4648, pruned_loss=0.2, over 14339.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03754, over 283.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3402, pruned_loss=0.09545, over 2783492.67 frames. utt_duration=254.4 frames, utt_pad_proportion=0.06981, over 44020.70 utterances.], batch size: 283, lr: 1.47e-04
+2022-09-19 21:55:37,648 INFO [train.py:885] (1/2) Epoch 32, batch 3100, loss[loss=0.2861, simple_loss=0.3621, pruned_loss=0.1051, over 14277.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03986, over 180.00 utterances.], tot_loss[loss=0.2689, simple_loss=0.3432, pruned_loss=0.09733, over 2777445.33 frames. utt_duration=247.9 frames, utt_pad_proportion=0.07306, over 45082.91 utterances.], batch size: 180, lr: 1.47e-04
+2022-09-19 21:56:07,285 INFO [train.py:885] (1/2) Epoch 32, batch 3150, loss[loss=0.394, simple_loss=0.4351, pruned_loss=0.1765, over 14239.00 frames. utt_duration=171.4 frames, utt_pad_proportion=0.04267, over 335.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3434, pruned_loss=0.09748, over 2780488.81 frames. utt_duration=246.9 frames, utt_pad_proportion=0.07188, over 45317.31 utterances.], batch size: 335, lr: 1.47e-04
+2022-09-19 21:56:36,627 INFO [train.py:885] (1/2) Epoch 32, batch 3200, loss[loss=0.3498, simple_loss=0.4088, pruned_loss=0.1454, over 14310.00 frames. utt_duration=219.8 frames, utt_pad_proportion=0.04, over 262.00 utterances.], tot_loss[loss=0.2662, simple_loss=0.3406, pruned_loss=0.09592, over 2780072.69 frames. utt_duration=250.8 frames, utt_pad_proportion=0.07193, over 44595.90 utterances.], batch size: 262, lr: 1.47e-04
+2022-09-19 21:57:14,789 INFO [train.py:885] (1/2) Epoch 32, batch 3250, loss[loss=0.1829, simple_loss=0.2357, pruned_loss=0.06508, over 13632.00 frames. utt_duration=1092 frames, utt_pad_proportion=0.07629, over 50.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.342, pruned_loss=0.09557, over 2782174.26 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07117, over 46056.21 utterances.], batch size: 50, lr: 1.47e-04
+2022-09-19 21:57:44,343 INFO [train.py:885] (1/2) Epoch 32, batch 3300, loss[loss=0.2482, simple_loss=0.3283, pruned_loss=0.08408, over 14355.00 frames. utt_duration=345.3 frames, utt_pad_proportion=0.03828, over 167.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.344, pruned_loss=0.09645, over 2782161.16 frames. utt_duration=240 frames, utt_pad_proportion=0.07116, over 46662.63 utterances.], batch size: 167, lr: 1.47e-04
+2022-09-19 21:58:14,096 INFO [train.py:885] (1/2) Epoch 32, batch 3350, loss[loss=0.3445, simple_loss=0.4409, pruned_loss=0.1241, over 13636.00 frames. utt_duration=98.71 frames, utt_pad_proportion=0.07752, over 560.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3467, pruned_loss=0.09702, over 2781851.31 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07216, over 48018.90 utterances.], batch size: 560, lr: 1.47e-04
+2022-09-19 21:58:44,026 INFO [train.py:885] (1/2) Epoch 32, batch 3400, loss[loss=0.2757, simple_loss=0.356, pruned_loss=0.09771, over 14266.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04442, over 141.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.343, pruned_loss=0.09522, over 2781730.87 frames. utt_duration=239.3 frames, utt_pad_proportion=0.07153, over 46790.46 utterances.], batch size: 141, lr: 1.47e-04
+2022-09-19 21:59:14,009 INFO [train.py:885] (1/2) Epoch 32, batch 3450, loss[loss=0.2676, simple_loss=0.3702, pruned_loss=0.08244, over 13772.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07211, over 411.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.344, pruned_loss=0.09512, over 2779879.95 frames. utt_duration=233.3 frames, utt_pad_proportion=0.07359, over 47964.15 utterances.], batch size: 411, lr: 1.47e-04
+2022-09-19 21:59:43,196 INFO [train.py:885] (1/2) Epoch 32, batch 3500, loss[loss=0.239, simple_loss=0.2804, pruned_loss=0.09883, over 14085.00 frames. utt_duration=714.5 frames, utt_pad_proportion=0.05358, over 79.00 utterances.], tot_loss[loss=0.2614, simple_loss=0.3375, pruned_loss=0.09269, over 2778437.21 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07217, over 44921.13 utterances.], batch size: 79, lr: 1.47e-04
+2022-09-19 22:00:12,739 INFO [train.py:885] (1/2) Epoch 32, batch 3550, loss[loss=0.1984, simple_loss=0.272, pruned_loss=0.06244, over 13550.00 frames. utt_duration=1085 frames, utt_pad_proportion=0.0888, over 50.00 utterances.], tot_loss[loss=0.2628, simple_loss=0.3385, pruned_loss=0.0935, over 2776905.07 frames. utt_duration=247.8 frames, utt_pad_proportion=0.07222, over 45093.70 utterances.], batch size: 50, lr: 1.47e-04
+2022-09-19 22:00:45,973 INFO [train.py:885] (1/2) Epoch 32, batch 3600, loss[loss=0.2115, simple_loss=0.2908, pruned_loss=0.06607, over 13992.00 frames. utt_duration=709.8 frames, utt_pad_proportion=0.05984, over 79.00 utterances.], tot_loss[loss=0.2634, simple_loss=0.3389, pruned_loss=0.09396, over 2781726.70 frames. utt_duration=248.9 frames, utt_pad_proportion=0.07132, over 44965.36 utterances.], batch size: 79, lr: 1.47e-04
+2022-09-19 22:01:19,237 INFO [train.py:885] (1/2) Epoch 32, batch 3650, loss[loss=0.3117, simple_loss=0.3883, pruned_loss=0.1175, over 14300.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03967, over 283.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.3405, pruned_loss=0.0942, over 2777317.37 frames. utt_duration=243.3 frames, utt_pad_proportion=0.074, over 45942.92 utterances.], batch size: 283, lr: 1.47e-04
+2022-09-19 22:01:49,213 INFO [train.py:885] (1/2) Epoch 32, batch 3700, loss[loss=0.205, simple_loss=0.2862, pruned_loss=0.0619, over 14377.00 frames. utt_duration=480.6 frames, utt_pad_proportion=0.03679, over 120.00 utterances.], tot_loss[loss=0.2642, simple_loss=0.3398, pruned_loss=0.09427, over 2780923.86 frames. utt_duration=249 frames, utt_pad_proportion=0.07258, over 44931.92 utterances.], batch size: 120, lr: 1.47e-04
+2022-09-19 22:02:22,282 INFO [train.py:885] (1/2) Epoch 32, batch 3750, loss[loss=0.2003, simple_loss=0.265, pruned_loss=0.06775, over 14046.00 frames. utt_duration=712.7 frames, utt_pad_proportion=0.05605, over 79.00 utterances.], tot_loss[loss=0.264, simple_loss=0.3398, pruned_loss=0.09413, over 2776843.49 frames. utt_duration=248.5 frames, utt_pad_proportion=0.07379, over 44963.85 utterances.], batch size: 79, lr: 1.47e-04
+2022-09-19 22:02:52,648 INFO [train.py:885] (1/2) Epoch 32, batch 3800, loss[loss=0.2579, simple_loss=0.3472, pruned_loss=0.08432, over 14329.00 frames. utt_duration=236.4 frames, utt_pad_proportion=0.03528, over 244.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.3402, pruned_loss=0.09426, over 2774850.33 frames. utt_duration=248.2 frames, utt_pad_proportion=0.07501, over 44992.85 utterances.], batch size: 244, lr: 1.47e-04
+2022-09-19 22:03:21,692 INFO [train.py:885] (1/2) Epoch 32, batch 3850, loss[loss=0.2658, simple_loss=0.3438, pruned_loss=0.09394, over 14372.00 frames. utt_duration=296.3 frames, utt_pad_proportion=0.03479, over 195.00 utterances.], tot_loss[loss=0.265, simple_loss=0.3399, pruned_loss=0.09504, over 2772964.12 frames. utt_duration=250.3 frames, utt_pad_proportion=0.07502, over 44575.38 utterances.], batch size: 195, lr: 1.47e-04
+2022-09-19 22:03:51,585 INFO [train.py:885] (1/2) Epoch 32, batch 3900, loss[loss=0.3748, simple_loss=0.4576, pruned_loss=0.146, over 13617.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08249, over 477.00 utterances.], tot_loss[loss=0.2628, simple_loss=0.3369, pruned_loss=0.09431, over 2774394.65 frames. utt_duration=261.2 frames, utt_pad_proportion=0.07345, over 42731.73 utterances.], batch size: 477, lr: 1.47e-04
+2022-09-19 22:04:25,596 INFO [train.py:885] (1/2) Epoch 32, batch 3950, loss[loss=0.2626, simple_loss=0.3373, pruned_loss=0.09397, over 14354.00 frames. utt_duration=295.9 frames, utt_pad_proportion=0.03603, over 195.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3399, pruned_loss=0.09525, over 2779063.64 frames. utt_duration=254.1 frames, utt_pad_proportion=0.07312, over 43995.06 utterances.], batch size: 195, lr: 1.47e-04
+2022-09-19 22:04:55,429 INFO [train.py:885] (1/2) Epoch 32, batch 4000, loss[loss=0.1627, simple_loss=0.2254, pruned_loss=0.05001, over 13503.00 frames. utt_duration=1638 frames, utt_pad_proportion=0.09282, over 33.00 utterances.], tot_loss[loss=0.2605, simple_loss=0.3357, pruned_loss=0.09267, over 2776644.80 frames. utt_duration=259.4 frames, utt_pad_proportion=0.07173, over 43056.00 utterances.], batch size: 33, lr: 1.47e-04
+2022-09-19 22:05:24,675 INFO [train.py:885] (1/2) Epoch 32, batch 4050, loss[loss=0.2156, simple_loss=0.3002, pruned_loss=0.06553, over 14291.00 frames. utt_duration=520.9 frames, utt_pad_proportion=0.04414, over 110.00 utterances.], tot_loss[loss=0.2608, simple_loss=0.3363, pruned_loss=0.09267, over 2777649.93 frames. utt_duration=258 frames, utt_pad_proportion=0.07312, over 43320.65 utterances.], batch size: 110, lr: 1.47e-04
+2022-09-19 22:05:55,071 INFO [train.py:885] (1/2) Epoch 32, batch 4100, loss[loss=0.3259, simple_loss=0.4029, pruned_loss=0.1245, over 13998.00 frames. utt_duration=154.8 frames, utt_pad_proportion=0.05616, over 365.00 utterances.], tot_loss[loss=0.2638, simple_loss=0.3385, pruned_loss=0.09453, over 2779104.58 frames. utt_duration=256 frames, utt_pad_proportion=0.07326, over 43670.26 utterances.], batch size: 365, lr: 1.47e-04
+2022-09-19 22:06:24,416 INFO [train.py:885] (1/2) Epoch 32, batch 4150, loss[loss=0.214, simple_loss=0.2878, pruned_loss=0.07013, over 14035.00 frames. utt_duration=574.5 frames, utt_pad_proportion=0.05672, over 98.00 utterances.], tot_loss[loss=0.2608, simple_loss=0.3357, pruned_loss=0.09293, over 2779118.36 frames. utt_duration=262.7 frames, utt_pad_proportion=0.073, over 42560.36 utterances.], batch size: 98, lr: 1.47e-04
+2022-09-19 22:06:54,351 INFO [train.py:885] (1/2) Epoch 32, batch 4200, loss[loss=0.226, simple_loss=0.2929, pruned_loss=0.0795, over 14087.00 frames. utt_duration=576.3 frames, utt_pad_proportion=0.05362, over 98.00 utterances.], tot_loss[loss=0.2639, simple_loss=0.3396, pruned_loss=0.09409, over 2778041.75 frames. utt_duration=249.4 frames, utt_pad_proportion=0.07322, over 44813.05 utterances.], batch size: 98, lr: 1.47e-04
+2022-09-19 22:07:23,625 INFO [train.py:885] (1/2) Epoch 32, batch 4250, loss[loss=0.3172, simple_loss=0.4228, pruned_loss=0.1058, over 13638.00 frames. utt_duration=98.89 frames, utt_pad_proportion=0.0758, over 560.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.3408, pruned_loss=0.09443, over 2780044.48 frames. utt_duration=246.1 frames, utt_pad_proportion=0.07205, over 45453.85 utterances.], batch size: 560, lr: 1.47e-04
+2022-09-19 22:07:53,636 INFO [train.py:885] (1/2) Epoch 32, batch 4300, loss[loss=0.3363, simple_loss=0.3964, pruned_loss=0.1381, over 14176.00 frames. utt_duration=186.9 frames, utt_pad_proportion=0.0465, over 306.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3424, pruned_loss=0.09593, over 2782535.39 frames. utt_duration=248.3 frames, utt_pad_proportion=0.07221, over 45092.94 utterances.], batch size: 306, lr: 1.47e-04
+2022-09-19 22:08:27,378 INFO [train.py:885] (1/2) Epoch 32, batch 4350, loss[loss=0.2441, simple_loss=0.3287, pruned_loss=0.07977, over 14306.00 frames. utt_duration=295 frames, utt_pad_proportion=0.03912, over 195.00 utterances.], tot_loss[loss=0.2632, simple_loss=0.3376, pruned_loss=0.09444, over 2780621.32 frames. utt_duration=259.2 frames, utt_pad_proportion=0.07134, over 43157.19 utterances.], batch size: 195, lr: 1.47e-04
+2022-09-19 22:08:57,174 INFO [train.py:885] (1/2) Epoch 32, batch 4400, loss[loss=0.2074, simple_loss=0.2755, pruned_loss=0.06962, over 14053.00 frames. utt_duration=804.5 frames, utt_pad_proportion=0.06126, over 70.00 utterances.], tot_loss[loss=0.2632, simple_loss=0.3384, pruned_loss=0.09396, over 2780867.99 frames. utt_duration=253.5 frames, utt_pad_proportion=0.07149, over 44142.85 utterances.], batch size: 70, lr: 1.47e-04
+2022-09-19 22:09:26,795 INFO [train.py:885] (1/2) Epoch 32, batch 4450, loss[loss=0.2609, simple_loss=0.3262, pruned_loss=0.09781, over 14340.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.03968, over 142.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3426, pruned_loss=0.09613, over 2777846.28 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07334, over 45975.50 utterances.], batch size: 142, lr: 1.47e-04
+2022-09-19 22:09:56,188 INFO [train.py:885] (1/2) Epoch 32, batch 4500, loss[loss=0.2533, simple_loss=0.368, pruned_loss=0.06926, over 13654.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.07485, over 478.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3411, pruned_loss=0.0961, over 2780064.74 frames. utt_duration=250 frames, utt_pad_proportion=0.07064, over 44746.35 utterances.], batch size: 478, lr: 1.47e-04
+2022-09-19 22:10:25,542 INFO [train.py:885] (1/2) Epoch 32, batch 4550, loss[loss=0.1821, simple_loss=0.2623, pruned_loss=0.05093, over 14247.00 frames. utt_duration=641.9 frames, utt_pad_proportion=0.04049, over 89.00 utterances.], tot_loss[loss=0.2651, simple_loss=0.3398, pruned_loss=0.09522, over 2780856.34 frames. utt_duration=251 frames, utt_pad_proportion=0.07075, over 44577.96 utterances.], batch size: 89, lr: 1.47e-04
+2022-09-19 22:10:55,562 INFO [train.py:885] (1/2) Epoch 32, batch 4600, loss[loss=0.1734, simple_loss=0.2548, pruned_loss=0.04596, over 14179.00 frames. utt_duration=638.7 frames, utt_pad_proportion=0.04819, over 89.00 utterances.], tot_loss[loss=0.2646, simple_loss=0.3399, pruned_loss=0.0947, over 2781813.66 frames. utt_duration=250.3 frames, utt_pad_proportion=0.06987, over 44714.42 utterances.], batch size: 89, lr: 1.47e-04
+2022-09-19 22:11:24,948 INFO [train.py:885] (1/2) Epoch 32, batch 4650, loss[loss=0.3529, simple_loss=0.411, pruned_loss=0.1474, over 14247.00 frames. utt_duration=171.5 frames, utt_pad_proportion=0.04199, over 335.00 utterances.], tot_loss[loss=0.2643, simple_loss=0.3395, pruned_loss=0.09459, over 2782140.07 frames. utt_duration=250.3 frames, utt_pad_proportion=0.0708, over 44730.42 utterances.], batch size: 335, lr: 1.47e-04
+2022-09-19 22:11:55,449 INFO [train.py:885] (1/2) Epoch 32, batch 4700, loss[loss=0.1821, simple_loss=0.2552, pruned_loss=0.05446, over 14036.00 frames. utt_duration=712.2 frames, utt_pad_proportion=0.05795, over 79.00 utterances.], tot_loss[loss=0.2647, simple_loss=0.3399, pruned_loss=0.09478, over 2787031.79 frames. utt_duration=252.6 frames, utt_pad_proportion=0.06956, over 44387.63 utterances.], batch size: 79, lr: 1.47e-04
+2022-09-19 22:12:24,267 INFO [train.py:885] (1/2) Epoch 32, batch 4750, loss[loss=0.1766, simple_loss=0.2398, pruned_loss=0.05668, over 13942.00 frames. utt_duration=809.6 frames, utt_pad_proportion=0.05757, over 69.00 utterances.], tot_loss[loss=0.2646, simple_loss=0.34, pruned_loss=0.09466, over 2789844.19 frames. utt_duration=254.3 frames, utt_pad_proportion=0.06741, over 44142.33 utterances.], batch size: 69, lr: 1.47e-04
+2022-09-19 22:12:54,857 INFO [train.py:885] (1/2) Epoch 32, batch 4800, loss[loss=0.2921, simple_loss=0.3638, pruned_loss=0.1102, over 14282.00 frames. utt_duration=318.8 frames, utt_pad_proportion=0.03976, over 180.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3431, pruned_loss=0.09582, over 2789398.96 frames. utt_duration=248.8 frames, utt_pad_proportion=0.06767, over 45111.56 utterances.], batch size: 180, lr: 1.47e-04
+2022-09-19 22:13:24,155 INFO [train.py:885] (1/2) Epoch 32, batch 4850, loss[loss=0.4087, simple_loss=0.4505, pruned_loss=0.1835, over 14207.00 frames. utt_duration=187.3 frames, utt_pad_proportion=0.04413, over 306.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.343, pruned_loss=0.09564, over 2782717.83 frames. utt_duration=248.5 frames, utt_pad_proportion=0.06922, over 45067.07 utterances.], batch size: 306, lr: 1.47e-04
+2022-09-19 22:13:54,452 INFO [train.py:885] (1/2) Epoch 32, batch 4900, loss[loss=0.1754, simple_loss=0.2512, pruned_loss=0.04983, over 13148.00 frames. utt_duration=1284 frames, utt_pad_proportion=0.1038, over 41.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3424, pruned_loss=0.09522, over 2779142.44 frames. utt_duration=249.6 frames, utt_pad_proportion=0.06957, over 44793.93 utterances.], batch size: 41, lr: 1.47e-04
+2022-09-19 22:14:24,920 INFO [train.py:885] (1/2) Epoch 32, batch 4950, loss[loss=0.2758, simple_loss=0.3528, pruned_loss=0.09941, over 14315.00 frames. utt_duration=373.4 frames, utt_pad_proportion=0.04008, over 154.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.3434, pruned_loss=0.09569, over 2777855.98 frames. utt_duration=245.1 frames, utt_pad_proportion=0.07093, over 45601.25 utterances.], batch size: 154, lr: 1.47e-04
+2022-09-19 22:14:55,006 INFO [train.py:885] (1/2) Epoch 32, batch 5000, loss[loss=0.2629, simple_loss=0.3506, pruned_loss=0.08758, over 14345.00 frames. utt_duration=236.6 frames, utt_pad_proportion=0.03409, over 244.00 utterances.], tot_loss[loss=0.2629, simple_loss=0.3391, pruned_loss=0.09331, over 2775610.62 frames. utt_duration=249.7 frames, utt_pad_proportion=0.0705, over 44732.62 utterances.], batch size: 244, lr: 1.47e-04
+2022-09-19 22:15:24,211 INFO [train.py:885] (1/2) Epoch 32, batch 5050, loss[loss=0.2426, simple_loss=0.3215, pruned_loss=0.0819, over 14292.00 frames. utt_duration=372.8 frames, utt_pad_proportion=0.03668, over 154.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3423, pruned_loss=0.09526, over 2775370.21 frames. utt_duration=243.5 frames, utt_pad_proportion=0.07268, over 45874.49 utterances.], batch size: 154, lr: 1.47e-04
+2022-09-19 22:15:54,227 INFO [train.py:885] (1/2) Epoch 32, batch 5100, loss[loss=0.186, simple_loss=0.2583, pruned_loss=0.05679, over 13709.00 frames. utt_duration=1098 frames, utt_pad_proportion=0.0778, over 50.00 utterances.], tot_loss[loss=0.2656, simple_loss=0.3415, pruned_loss=0.09483, over 2776375.74 frames. utt_duration=245.2 frames, utt_pad_proportion=0.07122, over 45555.42 utterances.], batch size: 50, lr: 1.47e-04
+2022-09-19 22:16:23,961 INFO [train.py:885] (1/2) Epoch 32, batch 5150, loss[loss=0.2855, simple_loss=0.3826, pruned_loss=0.09421, over 13811.00 frames. utt_duration=135.9 frames, utt_pad_proportion=0.06899, over 411.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3456, pruned_loss=0.09665, over 2779490.52 frames. utt_duration=234.1 frames, utt_pad_proportion=0.07227, over 47793.07 utterances.], batch size: 411, lr: 1.47e-04
+2022-09-19 22:16:53,462 INFO [train.py:885] (1/2) Epoch 32, batch 5200, loss[loss=0.3033, simple_loss=0.3709, pruned_loss=0.1178, over 14336.00 frames. utt_duration=204.1 frames, utt_pad_proportion=0.03749, over 283.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3444, pruned_loss=0.09592, over 2778327.43 frames. utt_duration=236.4 frames, utt_pad_proportion=0.0711, over 47310.87 utterances.], batch size: 283, lr: 1.47e-04
+2022-09-19 22:17:23,196 INFO [train.py:885] (1/2) Epoch 32, batch 5250, loss[loss=0.1772, simple_loss=0.2514, pruned_loss=0.05153, over 13995.00 frames. utt_duration=934.4 frames, utt_pad_proportion=0.0609, over 60.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3439, pruned_loss=0.09653, over 2782721.48 frames. utt_duration=241.5 frames, utt_pad_proportion=0.07049, over 46367.02 utterances.], batch size: 60, lr: 1.47e-04
+2022-09-19 22:17:53,013 INFO [train.py:885] (1/2) Epoch 32, batch 5300, loss[loss=0.244, simple_loss=0.3312, pruned_loss=0.07835, over 14267.00 frames. utt_duration=343.1 frames, utt_pad_proportion=0.04415, over 167.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3469, pruned_loss=0.09864, over 2785808.97 frames. utt_duration=239.4 frames, utt_pad_proportion=0.07114, over 46832.45 utterances.], batch size: 167, lr: 1.47e-04
+2022-09-19 22:18:22,636 INFO [train.py:885] (1/2) Epoch 32, batch 5350, loss[loss=0.4018, simple_loss=0.4963, pruned_loss=0.1537, over 13179.00 frames. utt_duration=82.25 frames, utt_pad_proportion=0.1059, over 653.00 utterances.], tot_loss[loss=0.2739, simple_loss=0.3486, pruned_loss=0.09966, over 2784265.30 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07191, over 47742.41 utterances.], batch size: 653, lr: 1.47e-04
+2022-09-19 22:18:52,239 INFO [train.py:885] (1/2) Epoch 32, batch 5400, loss[loss=0.2879, simple_loss=0.3626, pruned_loss=0.1066, over 14271.00 frames. utt_duration=255.2 frames, utt_pad_proportion=0.0406, over 225.00 utterances.], tot_loss[loss=0.2709, simple_loss=0.3463, pruned_loss=0.09778, over 2785712.50 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07141, over 47171.34 utterances.], batch size: 225, lr: 1.47e-04
+2022-09-19 22:19:25,359 INFO [train.py:885] (1/2) Epoch 32, batch 5450, loss[loss=0.1691, simple_loss=0.244, pruned_loss=0.04706, over 12731.00 frames. utt_duration=2038 frames, utt_pad_proportion=0.1275, over 25.00 utterances.], tot_loss[loss=0.2691, simple_loss=0.3443, pruned_loss=0.09697, over 2790561.42 frames. utt_duration=246.2 frames, utt_pad_proportion=0.06847, over 45614.70 utterances.], batch size: 25, lr: 1.47e-04
+2022-09-19 22:20:01,258 INFO [train.py:885] (1/2) Epoch 32, batch 5500, loss[loss=0.3056, simple_loss=0.3862, pruned_loss=0.1125, over 14011.00 frames. utt_duration=154.9 frames, utt_pad_proportion=0.05561, over 365.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3449, pruned_loss=0.09803, over 2790228.04 frames. utt_duration=246.8 frames, utt_pad_proportion=0.06804, over 45497.48 utterances.], batch size: 365, lr: 1.47e-04
+2022-09-19 22:20:30,829 INFO [train.py:885] (1/2) Epoch 32, batch 5550, loss[loss=0.2452, simple_loss=0.3248, pruned_loss=0.08281, over 14295.00 frames. utt_duration=372.9 frames, utt_pad_proportion=0.03901, over 154.00 utterances.], tot_loss[loss=0.2724, simple_loss=0.3471, pruned_loss=0.09885, over 2786622.58 frames. utt_duration=239.7 frames, utt_pad_proportion=0.07131, over 46780.93 utterances.], batch size: 154, lr: 1.47e-04
+2022-09-19 22:21:00,550 INFO [train.py:885] (1/2) Epoch 32, batch 5600, loss[loss=0.1661, simple_loss=0.2333, pruned_loss=0.0494, over 13659.00 frames. utt_duration=1094 frames, utt_pad_proportion=0.07966, over 50.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.3454, pruned_loss=0.09791, over 2784637.74 frames. utt_duration=242 frames, utt_pad_proportion=0.07204, over 46306.14 utterances.], batch size: 50, lr: 1.47e-04
+2022-09-19 22:21:31,102 INFO [train.py:885] (1/2) Epoch 32, batch 5650, loss[loss=0.5676, simple_loss=0.6423, pruned_loss=0.2464, over 12437.00 frames. utt_duration=62.98 frames, utt_pad_proportion=0.1489, over 810.00 utterances.], tot_loss[loss=0.2734, simple_loss=0.3481, pruned_loss=0.09936, over 2782932.56 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07157, over 47642.10 utterances.], batch size: 810, lr: 1.47e-04
+2022-09-19 22:22:00,676 INFO [train.py:885] (1/2) Epoch 32, batch 5700, loss[loss=0.157, simple_loss=0.2395, pruned_loss=0.03727, over 13683.00 frames. utt_duration=1304 frames, utt_pad_proportion=0.08273, over 42.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.345, pruned_loss=0.09795, over 2779851.97 frames. utt_duration=240.7 frames, utt_pad_proportion=0.07181, over 46475.89 utterances.], batch size: 42, lr: 1.47e-04
+2022-09-19 22:22:30,099 INFO [train.py:885] (1/2) Epoch 32, batch 5750, loss[loss=0.1771, simple_loss=0.2604, pruned_loss=0.04692, over 14256.00 frames. utt_duration=642.4 frames, utt_pad_proportion=0.04268, over 89.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.347, pruned_loss=0.09861, over 2782583.76 frames. utt_duration=236.8 frames, utt_pad_proportion=0.07169, over 47304.69 utterances.], batch size: 89, lr: 1.47e-04
+2022-09-19 22:22:59,808 INFO [train.py:885] (1/2) Epoch 32, batch 5800, loss[loss=0.1571, simple_loss=0.2223, pruned_loss=0.04599, over 13576.00 frames. utt_duration=1294 frames, utt_pad_proportion=0.08843, over 42.00 utterances.], tot_loss[loss=0.2704, simple_loss=0.3447, pruned_loss=0.09802, over 2781456.23 frames. utt_duration=244.7 frames, utt_pad_proportion=0.07231, over 45747.51 utterances.], batch size: 42, lr: 1.47e-04
+2022-09-19 22:23:29,611 INFO [train.py:885] (1/2) Epoch 32, batch 5850, loss[loss=0.3216, simple_loss=0.3881, pruned_loss=0.1275, over 14306.00 frames. utt_duration=203.6 frames, utt_pad_proportion=0.03974, over 283.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3483, pruned_loss=0.0994, over 2778854.96 frames. utt_duration=236.1 frames, utt_pad_proportion=0.07525, over 47385.35 utterances.], batch size: 283, lr: 1.47e-04
+2022-09-19 22:23:57,928 INFO [train.py:885] (1/2) Epoch 32, batch 5900, loss[loss=0.2584, simple_loss=0.331, pruned_loss=0.09288, over 14299.00 frames. utt_duration=441.5 frames, utt_pad_proportion=0.03811, over 130.00 utterances.], tot_loss[loss=0.2743, simple_loss=0.3498, pruned_loss=0.09945, over 2781808.14 frames. utt_duration=233.2 frames, utt_pad_proportion=0.07364, over 48025.83 utterances.], batch size: 130, lr: 1.47e-04
+2022-09-19 22:24:27,863 INFO [train.py:885] (1/2) Epoch 32, batch 5950, loss[loss=0.337, simple_loss=0.4517, pruned_loss=0.1112, over 13123.00 frames. utt_duration=81.89 frames, utt_pad_proportion=0.1098, over 653.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3468, pruned_loss=0.09817, over 2780363.24 frames. utt_duration=238.4 frames, utt_pad_proportion=0.07383, over 46941.33 utterances.], batch size: 653, lr: 1.47e-04
+2022-09-19 22:24:57,225 INFO [train.py:885] (1/2) Epoch 32, batch 6000, loss[loss=0.1595, simple_loss=0.2298, pruned_loss=0.04465, over 13850.00 frames. utt_duration=924.9 frames, utt_pad_proportion=0.06766, over 60.00 utterances.], tot_loss[loss=0.2681, simple_loss=0.3437, pruned_loss=0.09625, over 2777453.19 frames. utt_duration=238.5 frames, utt_pad_proportion=0.0734, over 46866.73 utterances.], batch size: 60, lr: 1.47e-04
+2022-09-19 22:24:57,227 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 22:25:02,160 INFO [train.py:914] (1/2) Epoch 32, validation: loss=0.1909, simple_loss=0.2709, pruned_loss=0.05548, over 425730.00 frames. utt_duration=527.9 frames, utt_pad_proportion=0.07488, over 3235.00 utterances.
+2022-09-19 22:25:31,999 INFO [train.py:885] (1/2) Epoch 32, batch 6050, loss[loss=0.3215, simple_loss=0.3939, pruned_loss=0.1245, over 14324.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.039, over 262.00 utterances.], tot_loss[loss=0.2667, simple_loss=0.3423, pruned_loss=0.09553, over 2778456.19 frames. utt_duration=239.5 frames, utt_pad_proportion=0.0743, over 46684.63 utterances.], batch size: 262, lr: 1.47e-04
+2022-09-19 22:26:01,266 INFO [train.py:885] (1/2) Epoch 32, batch 6100, loss[loss=0.5673, simple_loss=0.6352, pruned_loss=0.2497, over 12404.00 frames. utt_duration=62.82 frames, utt_pad_proportion=0.1511, over 810.00 utterances.], tot_loss[loss=0.2668, simple_loss=0.3423, pruned_loss=0.09565, over 2778934.49 frames. utt_duration=241 frames, utt_pad_proportion=0.07339, over 46414.81 utterances.], batch size: 810, lr: 1.47e-04
+2022-09-19 22:26:31,044 INFO [train.py:885] (1/2) Epoch 32, batch 6150, loss[loss=0.3524, simple_loss=0.4348, pruned_loss=0.135, over 13785.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07074, over 411.00 utterances.], tot_loss[loss=0.269, simple_loss=0.3447, pruned_loss=0.09667, over 2780036.84 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07278, over 47026.12 utterances.], batch size: 411, lr: 1.47e-04
+2022-09-19 22:27:01,094 INFO [train.py:885] (1/2) Epoch 32, batch 6200, loss[loss=0.2587, simple_loss=0.3431, pruned_loss=0.08713, over 14264.00 frames. utt_duration=372.2 frames, utt_pad_proportion=0.04317, over 154.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3468, pruned_loss=0.09774, over 2775771.27 frames. utt_duration=233.9 frames, utt_pad_proportion=0.07475, over 47762.46 utterances.], batch size: 154, lr: 1.47e-04
+2022-09-19 22:27:29,794 INFO [train.py:885] (1/2) Epoch 32, batch 6250, loss[loss=0.3394, simple_loss=0.3962, pruned_loss=0.1413, over 14358.00 frames. utt_duration=274.9 frames, utt_pad_proportion=0.03541, over 210.00 utterances.], tot_loss[loss=0.271, simple_loss=0.3468, pruned_loss=0.09764, over 2780615.40 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07219, over 47601.16 utterances.], batch size: 210, lr: 1.47e-04
+2022-09-19 22:27:59,620 INFO [train.py:885] (1/2) Epoch 32, batch 6300, loss[loss=0.2557, simple_loss=0.3255, pruned_loss=0.09296, over 14243.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04641, over 141.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.346, pruned_loss=0.09709, over 2780987.14 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07217, over 47691.60 utterances.], batch size: 141, lr: 1.47e-04
+2022-09-19 22:28:29,053 INFO [train.py:885] (1/2) Epoch 32, batch 6350, loss[loss=0.2757, simple_loss=0.3572, pruned_loss=0.09711, over 14334.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.0372, over 195.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.3453, pruned_loss=0.09697, over 2783080.41 frames. utt_duration=237.7 frames, utt_pad_proportion=0.071, over 47126.71 utterances.], batch size: 195, lr: 1.47e-04
+2022-09-19 22:28:59,251 INFO [train.py:885] (1/2) Epoch 32, batch 6400, loss[loss=0.2058, simple_loss=0.2734, pruned_loss=0.06914, over 14023.00 frames. utt_duration=802.7 frames, utt_pad_proportion=0.06225, over 70.00 utterances.], tot_loss[loss=0.2751, simple_loss=0.3511, pruned_loss=0.09955, over 2779316.93 frames. utt_duration=225.1 frames, utt_pad_proportion=0.07425, over 49705.57 utterances.], batch size: 70, lr: 1.47e-04
+2022-09-19 22:29:29,146 INFO [train.py:885] (1/2) Epoch 32, batch 6450, loss[loss=0.2345, simple_loss=0.3052, pruned_loss=0.0819, over 14336.00 frames. utt_duration=522.9 frames, utt_pad_proportion=0.04057, over 110.00 utterances.], tot_loss[loss=0.2747, simple_loss=0.3499, pruned_loss=0.09973, over 2782019.47 frames. utt_duration=232.4 frames, utt_pad_proportion=0.07214, over 48185.90 utterances.], batch size: 110, lr: 1.47e-04
+2022-09-19 22:30:03,449 INFO [train.py:885] (1/2) Epoch 32, batch 6500, loss[loss=0.222, simple_loss=0.3024, pruned_loss=0.07083, over 14255.00 frames. utt_duration=642.1 frames, utt_pad_proportion=0.04456, over 89.00 utterances.], tot_loss[loss=0.2718, simple_loss=0.3469, pruned_loss=0.09836, over 2785157.80 frames. utt_duration=240.3 frames, utt_pad_proportion=0.07117, over 46647.34 utterances.], batch size: 89, lr: 1.47e-04
+2022-09-19 22:30:32,851 INFO [train.py:885] (1/2) Epoch 32, batch 6550, loss[loss=0.183, simple_loss=0.258, pruned_loss=0.05397, over 13958.00 frames. utt_duration=810.7 frames, utt_pad_proportion=0.05618, over 69.00 utterances.], tot_loss[loss=0.2697, simple_loss=0.3453, pruned_loss=0.09703, over 2785313.14 frames. utt_duration=242.5 frames, utt_pad_proportion=0.07129, over 46219.13 utterances.], batch size: 69, lr: 1.47e-04
+2022-09-19 22:31:02,331 INFO [train.py:885] (1/2) Epoch 32, batch 6600, loss[loss=0.2694, simple_loss=0.3514, pruned_loss=0.09367, over 14367.00 frames. utt_duration=237.1 frames, utt_pad_proportion=0.03237, over 244.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3477, pruned_loss=0.09826, over 2780501.90 frames. utt_duration=234.7 frames, utt_pad_proportion=0.07396, over 47690.09 utterances.], batch size: 244, lr: 1.47e-04
+2022-09-19 22:31:33,427 INFO [train.py:885] (1/2) Epoch 32, batch 6650, loss[loss=0.2607, simple_loss=0.3448, pruned_loss=0.08829, over 14338.00 frames. utt_duration=295.7 frames, utt_pad_proportion=0.03687, over 195.00 utterances.], tot_loss[loss=0.2687, simple_loss=0.3448, pruned_loss=0.09627, over 2782835.90 frames. utt_duration=239.5 frames, utt_pad_proportion=0.07312, over 46757.88 utterances.], batch size: 195, lr: 1.47e-04
+2022-09-19 22:32:06,076 INFO [train.py:885] (1/2) Epoch 32, batch 6700, loss[loss=0.3275, simple_loss=0.3873, pruned_loss=0.1338, over 14340.00 frames. utt_duration=204.2 frames, utt_pad_proportion=0.03695, over 283.00 utterances.], tot_loss[loss=0.2695, simple_loss=0.3454, pruned_loss=0.0968, over 2785309.11 frames. utt_duration=239.9 frames, utt_pad_proportion=0.07323, over 46734.27 utterances.], batch size: 283, lr: 1.47e-04
+2022-09-19 22:32:36,311 INFO [train.py:885] (1/2) Epoch 32, batch 6750, loss[loss=0.2315, simple_loss=0.3109, pruned_loss=0.07606, over 14269.00 frames. utt_duration=406.2 frames, utt_pad_proportion=0.04419, over 141.00 utterances.], tot_loss[loss=0.27, simple_loss=0.3456, pruned_loss=0.0972, over 2782439.82 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07407, over 46647.03 utterances.], batch size: 141, lr: 1.47e-04
+2022-09-19 22:33:12,161 INFO [train.py:885] (1/2) Epoch 32, batch 6800, loss[loss=0.2218, simple_loss=0.2929, pruned_loss=0.0754, over 13905.00 frames. utt_duration=705.6 frames, utt_pad_proportion=0.06669, over 79.00 utterances.], tot_loss[loss=0.2705, simple_loss=0.3456, pruned_loss=0.09774, over 2781725.07 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07471, over 46291.68 utterances.], batch size: 79, lr: 1.47e-04
+2022-09-19 22:33:41,844 INFO [train.py:885] (1/2) Epoch 32, batch 6850, loss[loss=0.1786, simple_loss=0.2462, pruned_loss=0.05548, over 13164.00 frames. utt_duration=1597 frames, utt_pad_proportion=0.1121, over 33.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3455, pruned_loss=0.09732, over 2779366.97 frames. utt_duration=240.1 frames, utt_pad_proportion=0.07538, over 46600.41 utterances.], batch size: 33, lr: 1.47e-04
+2022-09-19 22:34:11,873 INFO [train.py:885] (1/2) Epoch 32, batch 6900, loss[loss=0.1843, simple_loss=0.2519, pruned_loss=0.05838, over 14011.00 frames. utt_duration=573.3 frames, utt_pad_proportion=0.05868, over 98.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3426, pruned_loss=0.09669, over 2776458.24 frames. utt_duration=244.2 frames, utt_pad_proportion=0.07388, over 45754.68 utterances.], batch size: 98, lr: 1.47e-04
+2022-09-19 22:34:41,833 INFO [train.py:885] (1/2) Epoch 32, batch 6950, loss[loss=0.2099, simple_loss=0.2804, pruned_loss=0.06977, over 14261.00 frames. utt_duration=642.4 frames, utt_pad_proportion=0.04401, over 89.00 utterances.], tot_loss[loss=0.2648, simple_loss=0.34, pruned_loss=0.09477, over 2776241.37 frames. utt_duration=246.3 frames, utt_pad_proportion=0.07373, over 45358.63 utterances.], batch size: 89, lr: 1.47e-04
+2022-09-19 22:35:11,242 INFO [train.py:885] (1/2) Epoch 32, batch 7000, loss[loss=0.1846, simple_loss=0.2673, pruned_loss=0.05093, over 14183.00 frames. utt_duration=638.8 frames, utt_pad_proportion=0.04652, over 89.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3425, pruned_loss=0.09594, over 2778395.09 frames. utt_duration=243.2 frames, utt_pad_proportion=0.07342, over 45972.48 utterances.], batch size: 89, lr: 1.47e-04
+2022-09-19 22:35:40,630 INFO [train.py:885] (1/2) Epoch 32, batch 7050, loss[loss=0.1708, simple_loss=0.2368, pruned_loss=0.05238, over 13865.00 frames. utt_duration=805.2 frames, utt_pad_proportion=0.06041, over 69.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.343, pruned_loss=0.09636, over 2777105.51 frames. utt_duration=243.4 frames, utt_pad_proportion=0.07514, over 45925.93 utterances.], batch size: 69, lr: 1.47e-04
+2022-09-19 22:36:10,245 INFO [train.py:885] (1/2) Epoch 32, batch 7100, loss[loss=0.1785, simple_loss=0.2344, pruned_loss=0.06131, over 12470.00 frames. utt_duration=2080 frames, utt_pad_proportion=0.1448, over 24.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.344, pruned_loss=0.09648, over 2774929.31 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07376, over 46982.58 utterances.], batch size: 24, lr: 1.47e-04
+2022-09-19 22:36:40,631 INFO [train.py:885] (1/2) Epoch 32, batch 7150, loss[loss=0.1573, simple_loss=0.2413, pruned_loss=0.03671, over 13868.00 frames. utt_duration=805.2 frames, utt_pad_proportion=0.06261, over 69.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3453, pruned_loss=0.09673, over 2776873.80 frames. utt_duration=233.1 frames, utt_pad_proportion=0.0745, over 47951.56 utterances.], batch size: 69, lr: 1.47e-04
+2022-09-19 22:37:09,713 INFO [train.py:885] (1/2) Epoch 32, batch 7200, loss[loss=0.2188, simple_loss=0.2912, pruned_loss=0.07318, over 14289.00 frames. utt_duration=477.7 frames, utt_pad_proportion=0.04073, over 120.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.3424, pruned_loss=0.09574, over 2785384.42 frames. utt_duration=245.5 frames, utt_pad_proportion=0.0704, over 45664.24 utterances.], batch size: 120, lr: 1.46e-04
+2022-09-19 22:37:38,969 INFO [train.py:885] (1/2) Epoch 32, batch 7250, loss[loss=0.2054, simple_loss=0.2726, pruned_loss=0.06916, over 14210.00 frames. utt_duration=640.3 frames, utt_pad_proportion=0.04573, over 89.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3437, pruned_loss=0.09674, over 2785148.95 frames. utt_duration=242.4 frames, utt_pad_proportion=0.07144, over 46233.97 utterances.], batch size: 89, lr: 1.46e-04
+2022-09-19 22:38:07,738 INFO [train.py:885] (1/2) Epoch 32, batch 7300, loss[loss=0.3361, simple_loss=0.409, pruned_loss=0.1316, over 13977.00 frames. utt_duration=154.6 frames, utt_pad_proportion=0.05735, over 365.00 utterances.], tot_loss[loss=0.2706, simple_loss=0.345, pruned_loss=0.09816, over 2781763.58 frames. utt_duration=239.6 frames, utt_pad_proportion=0.0717, over 46720.59 utterances.], batch size: 365, lr: 1.46e-04
+2022-09-19 22:38:37,929 INFO [train.py:885] (1/2) Epoch 32, batch 7350, loss[loss=0.2035, simple_loss=0.2712, pruned_loss=0.0679, over 13843.00 frames. utt_duration=804.2 frames, utt_pad_proportion=0.06268, over 69.00 utterances.], tot_loss[loss=0.2693, simple_loss=0.344, pruned_loss=0.0973, over 2784277.22 frames. utt_duration=240.7 frames, utt_pad_proportion=0.0699, over 46558.89 utterances.], batch size: 69, lr: 1.46e-04
+2022-09-19 22:39:07,202 INFO [train.py:885] (1/2) Epoch 32, batch 7400, loss[loss=0.1914, simple_loss=0.2729, pruned_loss=0.05494, over 14159.00 frames. utt_duration=637.9 frames, utt_pad_proportion=0.04936, over 89.00 utterances.], tot_loss[loss=0.2711, simple_loss=0.3455, pruned_loss=0.09838, over 2780590.41 frames. utt_duration=240 frames, utt_pad_proportion=0.07184, over 46628.96 utterances.], batch size: 89, lr: 1.46e-04
+2022-09-19 22:39:37,249 INFO [train.py:885] (1/2) Epoch 32, batch 7450, loss[loss=0.3152, simple_loss=0.405, pruned_loss=0.1127, over 13769.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07184, over 411.00 utterances.], tot_loss[loss=0.273, simple_loss=0.3484, pruned_loss=0.09877, over 2780443.80 frames. utt_duration=232 frames, utt_pad_proportion=0.07258, over 48254.91 utterances.], batch size: 411, lr: 1.46e-04
+2022-09-19 22:40:06,913 INFO [train.py:885] (1/2) Epoch 32, batch 7500, loss[loss=0.1864, simple_loss=0.254, pruned_loss=0.05937, over 14028.00 frames. utt_duration=711.6 frames, utt_pad_proportion=0.05872, over 79.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3457, pruned_loss=0.09783, over 2782001.77 frames. utt_duration=239.8 frames, utt_pad_proportion=0.07194, over 46693.58 utterances.], batch size: 79, lr: 1.46e-04
+2022-09-19 22:40:36,310 INFO [train.py:885] (1/2) Epoch 32, batch 7550, loss[loss=0.3329, simple_loss=0.4339, pruned_loss=0.1159, over 13594.00 frames. utt_duration=98.52 frames, utt_pad_proportion=0.07926, over 560.00 utterances.], tot_loss[loss=0.2728, simple_loss=0.3482, pruned_loss=0.09873, over 2787713.64 frames. utt_duration=236 frames, utt_pad_proportion=0.06916, over 47549.75 utterances.], batch size: 560, lr: 1.46e-04
+2022-09-19 22:41:05,533 INFO [train.py:885] (1/2) Epoch 32, batch 7600, loss[loss=0.288, simple_loss=0.365, pruned_loss=0.1055, over 14322.00 frames. utt_duration=220.1 frames, utt_pad_proportion=0.03887, over 262.00 utterances.], tot_loss[loss=0.2703, simple_loss=0.3459, pruned_loss=0.09741, over 2788018.12 frames. utt_duration=241 frames, utt_pad_proportion=0.06932, over 46559.26 utterances.], batch size: 262, lr: 1.46e-04
+2022-09-19 22:41:35,068 INFO [train.py:885] (1/2) Epoch 32, batch 7650, loss[loss=0.2117, simple_loss=0.2927, pruned_loss=0.06531, over 14176.00 frames. utt_duration=521.7 frames, utt_pad_proportion=0.04451, over 109.00 utterances.], tot_loss[loss=0.2719, simple_loss=0.3476, pruned_loss=0.09811, over 2787611.68 frames. utt_duration=238.8 frames, utt_pad_proportion=0.06982, over 46985.38 utterances.], batch size: 109, lr: 1.46e-04
+2022-09-19 22:42:04,952 INFO [train.py:885] (1/2) Epoch 32, batch 7700, loss[loss=0.2769, simple_loss=0.3852, pruned_loss=0.08435, over 13617.00 frames. utt_duration=115.6 frames, utt_pad_proportion=0.08219, over 477.00 utterances.], tot_loss[loss=0.2736, simple_loss=0.3491, pruned_loss=0.09905, over 2782581.26 frames. utt_duration=231.2 frames, utt_pad_proportion=0.07133, over 48455.84 utterances.], batch size: 477, lr: 1.46e-04
+2022-09-19 22:42:33,917 INFO [train.py:885] (1/2) Epoch 32, batch 7750, loss[loss=0.2908, simple_loss=0.3646, pruned_loss=0.1085, over 14326.00 frames. utt_duration=203.9 frames, utt_pad_proportion=0.03807, over 283.00 utterances.], tot_loss[loss=0.2702, simple_loss=0.3457, pruned_loss=0.09738, over 2779519.49 frames. utt_duration=234.3 frames, utt_pad_proportion=0.07201, over 47753.13 utterances.], batch size: 283, lr: 1.46e-04
+2022-09-19 22:43:03,631 INFO [train.py:885] (1/2) Epoch 32, batch 7800, loss[loss=0.2538, simple_loss=0.3613, pruned_loss=0.0732, over 13771.00 frames. utt_duration=135.4 frames, utt_pad_proportion=0.07233, over 411.00 utterances.], tot_loss[loss=0.2685, simple_loss=0.3441, pruned_loss=0.09647, over 2778981.72 frames. utt_duration=237.2 frames, utt_pad_proportion=0.07184, over 47155.25 utterances.], batch size: 411, lr: 1.46e-04
+2022-09-19 22:43:33,192 INFO [train.py:885] (1/2) Epoch 32, batch 7850, loss[loss=0.3483, simple_loss=0.4049, pruned_loss=0.1459, over 14201.00 frames. utt_duration=171 frames, utt_pad_proportion=0.04491, over 335.00 utterances.], tot_loss[loss=0.268, simple_loss=0.3437, pruned_loss=0.09615, over 2778658.22 frames. utt_duration=237.3 frames, utt_pad_proportion=0.07218, over 47138.03 utterances.], batch size: 335, lr: 1.46e-04
+2022-09-19 22:44:02,863 INFO [train.py:885] (1/2) Epoch 32, batch 7900, loss[loss=0.1718, simple_loss=0.2415, pruned_loss=0.05104, over 13579.00 frames. utt_duration=1088 frames, utt_pad_proportion=0.08515, over 50.00 utterances.], tot_loss[loss=0.2657, simple_loss=0.3422, pruned_loss=0.0946, over 2780822.29 frames. utt_duration=237.4 frames, utt_pad_proportion=0.0721, over 47151.29 utterances.], batch size: 50, lr: 1.46e-04
+2022-09-19 22:44:31,332 INFO [train.py:885] (1/2) Epoch 32, batch 7950, loss[loss=0.2032, simple_loss=0.2762, pruned_loss=0.06512, over 14138.00 frames. utt_duration=637.1 frames, utt_pad_proportion=0.04775, over 89.00 utterances.], tot_loss[loss=0.2655, simple_loss=0.3423, pruned_loss=0.09435, over 2781277.21 frames. utt_duration=237.7 frames, utt_pad_proportion=0.07344, over 47102.39 utterances.], batch size: 89, lr: 1.46e-04
+2022-09-19 22:45:00,606 INFO [train.py:885] (1/2) Epoch 32, batch 8000, loss[loss=0.2404, simple_loss=0.3238, pruned_loss=0.07855, over 14318.00 frames. utt_duration=254.8 frames, utt_pad_proportion=0.03837, over 226.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3417, pruned_loss=0.09435, over 2778903.29 frames. utt_duration=241.4 frames, utt_pad_proportion=0.07465, over 46322.47 utterances.], batch size: 226, lr: 1.46e-04
+2022-09-19 22:45:30,434 INFO [train.py:885] (1/2) Epoch 32, batch 8050, loss[loss=0.296, simple_loss=0.3661, pruned_loss=0.113, over 14334.00 frames. utt_duration=295.6 frames, utt_pad_proportion=0.03698, over 195.00 utterances.], tot_loss[loss=0.2666, simple_loss=0.3429, pruned_loss=0.09522, over 2782929.54 frames. utt_duration=240.6 frames, utt_pad_proportion=0.0717, over 46554.24 utterances.], batch size: 195, lr: 1.46e-04
+2022-09-19 22:45:59,572 INFO [train.py:885] (1/2) Epoch 32, batch 8100, loss[loss=0.3005, simple_loss=0.4067, pruned_loss=0.09714, over 13590.00 frames. utt_duration=115.5 frames, utt_pad_proportion=0.08306, over 477.00 utterances.], tot_loss[loss=0.2674, simple_loss=0.344, pruned_loss=0.09544, over 2786217.27 frames. utt_duration=237.9 frames, utt_pad_proportion=0.07043, over 47149.94 utterances.], batch size: 477, lr: 1.46e-04
+2022-09-19 22:46:29,650 INFO [train.py:885] (1/2) Epoch 32, batch 8150, loss[loss=0.2437, simple_loss=0.3208, pruned_loss=0.08327, over 14264.00 frames. utt_duration=440.2 frames, utt_pad_proportion=0.04094, over 130.00 utterances.], tot_loss[loss=0.2707, simple_loss=0.3477, pruned_loss=0.09686, over 2786020.19 frames. utt_duration=231.5 frames, utt_pad_proportion=0.07189, over 48453.76 utterances.], batch size: 130, lr: 1.46e-04
+2022-09-19 22:46:58,930 INFO [train.py:885] (1/2) Epoch 32, batch 8200, loss[loss=0.1762, simple_loss=0.2495, pruned_loss=0.05139, over 14102.00 frames. utt_duration=635.3 frames, utt_pad_proportion=0.05459, over 89.00 utterances.], tot_loss[loss=0.2658, simple_loss=0.342, pruned_loss=0.09482, over 2785039.13 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07105, over 46098.69 utterances.], batch size: 89, lr: 1.46e-04
+2022-09-19 22:47:29,040 INFO [train.py:885] (1/2) Epoch 32, batch 8250, loss[loss=0.502, simple_loss=0.5943, pruned_loss=0.2048, over 12505.00 frames. utt_duration=63.31 frames, utt_pad_proportion=0.1444, over 810.00 utterances.], tot_loss[loss=0.2677, simple_loss=0.3435, pruned_loss=0.09594, over 2783882.13 frames. utt_duration=241.9 frames, utt_pad_proportion=0.07247, over 46318.09 utterances.], batch size: 810, lr: 1.46e-04
+2022-09-19 22:47:59,193 INFO [train.py:885] (1/2) Epoch 32, batch 8300, loss[loss=0.3309, simple_loss=0.3892, pruned_loss=0.1363, over 14188.00 frames. utt_duration=187.1 frames, utt_pad_proportion=0.04518, over 306.00 utterances.], tot_loss[loss=0.2715, simple_loss=0.3472, pruned_loss=0.09785, over 2781294.64 frames. utt_duration=235.1 frames, utt_pad_proportion=0.07339, over 47628.33 utterances.], batch size: 306, lr: 1.46e-04
+2022-09-19 22:48:28,232 INFO [train.py:885] (1/2) Epoch 32, batch 8350, loss[loss=0.3332, simple_loss=0.3908, pruned_loss=0.1378, over 14329.00 frames. utt_duration=204 frames, utt_pad_proportion=0.03795, over 283.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3441, pruned_loss=0.09635, over 2780303.69 frames. utt_duration=241.8 frames, utt_pad_proportion=0.07375, over 46269.46 utterances.], batch size: 283, lr: 1.46e-04
+2022-09-19 22:48:58,178 INFO [train.py:885] (1/2) Epoch 32, batch 8400, loss[loss=0.3584, simple_loss=0.4653, pruned_loss=0.1258, over 13192.00 frames. utt_duration=82.35 frames, utt_pad_proportion=0.1049, over 653.00 utterances.], tot_loss[loss=0.2714, simple_loss=0.3475, pruned_loss=0.09763, over 2779280.78 frames. utt_duration=231.1 frames, utt_pad_proportion=0.07455, over 48418.93 utterances.], batch size: 653, lr: 1.46e-04
+2022-09-19 22:49:27,190 INFO [train.py:885] (1/2) Epoch 32, batch 8450, loss[loss=0.1922, simple_loss=0.2689, pruned_loss=0.05773, over 13670.00 frames. utt_duration=1095 frames, utt_pad_proportion=0.07899, over 50.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.345, pruned_loss=0.09632, over 2775560.00 frames. utt_duration=234.8 frames, utt_pad_proportion=0.07628, over 47588.08 utterances.], batch size: 50, lr: 1.46e-04
+2022-09-19 22:49:56,766 INFO [train.py:885] (1/2) Epoch 32, batch 8500, loss[loss=0.1996, simple_loss=0.2571, pruned_loss=0.07106, over 13871.00 frames. utt_duration=926.3 frames, utt_pad_proportion=0.06811, over 60.00 utterances.], tot_loss[loss=0.2686, simple_loss=0.3449, pruned_loss=0.09615, over 2775309.71 frames. utt_duration=234.2 frames, utt_pad_proportion=0.075, over 47707.93 utterances.], batch size: 60, lr: 1.46e-04
+2022-09-19 22:50:26,192 INFO [train.py:885] (1/2) Epoch 32, batch 8550, loss[loss=0.2607, simple_loss=0.3466, pruned_loss=0.08741, over 14360.00 frames. utt_duration=236.9 frames, utt_pad_proportion=0.03319, over 244.00 utterances.], tot_loss[loss=0.2694, simple_loss=0.3454, pruned_loss=0.09674, over 2774168.50 frames. utt_duration=233.5 frames, utt_pad_proportion=0.07546, over 47827.53 utterances.], batch size: 244, lr: 1.46e-04
+2022-09-19 22:50:56,323 INFO [train.py:885] (1/2) Epoch 32, batch 8600, loss[loss=0.4847, simple_loss=0.5644, pruned_loss=0.2024, over 13124.00 frames. utt_duration=81.95 frames, utt_pad_proportion=0.1092, over 653.00 utterances.], tot_loss[loss=0.2721, simple_loss=0.3478, pruned_loss=0.09819, over 2776934.07 frames. utt_duration=231.6 frames, utt_pad_proportion=0.07469, over 48279.31 utterances.], batch size: 653, lr: 1.46e-04
+2022-09-19 22:51:26,292 INFO [train.py:885] (1/2) Epoch 32, batch 8650, loss[loss=0.1493, simple_loss=0.2157, pruned_loss=0.04143, over 13644.00 frames. utt_duration=1093 frames, utt_pad_proportion=0.07613, over 50.00 utterances.], tot_loss[loss=0.2692, simple_loss=0.3453, pruned_loss=0.09656, over 2775739.52 frames. utt_duration=235.3 frames, utt_pad_proportion=0.07358, over 47485.48 utterances.], batch size: 50, lr: 1.46e-04
+2022-09-19 22:51:55,392 INFO [train.py:885] (1/2) Epoch 32, batch 8700, loss[loss=0.2508, simple_loss=0.3237, pruned_loss=0.08895, over 14256.00 frames. utt_duration=519.8 frames, utt_pad_proportion=0.04616, over 110.00 utterances.], tot_loss[loss=0.2669, simple_loss=0.343, pruned_loss=0.09542, over 2782130.72 frames. utt_duration=242.8 frames, utt_pad_proportion=0.07175, over 46112.73 utterances.], batch size: 110, lr: 1.46e-04
+2022-09-19 22:52:25,817 INFO [train.py:885] (1/2) Epoch 32, batch 8750, loss[loss=0.5162, simple_loss=0.5967, pruned_loss=0.2178, over 12502.00 frames. utt_duration=63.29 frames, utt_pad_proportion=0.1448, over 810.00 utterances.], tot_loss[loss=0.2701, simple_loss=0.3454, pruned_loss=0.09736, over 2783644.58 frames. utt_duration=243.1 frames, utt_pad_proportion=0.07058, over 46090.79 utterances.], batch size: 810, lr: 1.46e-04
+2022-09-19 22:52:55,676 INFO [train.py:885] (1/2) Epoch 32, batch 8800, loss[loss=0.2905, simple_loss=0.3872, pruned_loss=0.09686, over 13794.00 frames. utt_duration=135.5 frames, utt_pad_proportion=0.07187, over 412.00 utterances.], tot_loss[loss=0.2696, simple_loss=0.345, pruned_loss=0.09713, over 2782665.62 frames. utt_duration=245 frames, utt_pad_proportion=0.06973, over 45715.21 utterances.], batch size: 412, lr: 1.46e-04
+2022-09-19 22:53:25,031 INFO [train.py:885] (1/2) Epoch 32, batch 8850, loss[loss=0.2351, simple_loss=0.3146, pruned_loss=0.07782, over 14154.00 frames. utt_duration=579.1 frames, utt_pad_proportion=0.04904, over 98.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3436, pruned_loss=0.0961, over 2784371.79 frames. utt_duration=247.4 frames, utt_pad_proportion=0.07056, over 45283.34 utterances.], batch size: 98, lr: 1.46e-04
+2022-09-19 22:53:54,312 INFO [train.py:885] (1/2) Epoch 32, batch 8900, loss[loss=0.2358, simple_loss=0.3181, pruned_loss=0.07672, over 14291.00 frames. utt_duration=372.7 frames, utt_pad_proportion=0.042, over 154.00 utterances.], tot_loss[loss=0.2652, simple_loss=0.3406, pruned_loss=0.09488, over 2783590.01 frames. utt_duration=254.7 frames, utt_pad_proportion=0.0692, over 43964.43 utterances.], batch size: 154, lr: 1.46e-04
+2022-09-19 22:54:24,213 INFO [train.py:885] (1/2) Epoch 32, batch 8950, loss[loss=0.1679, simple_loss=0.2388, pruned_loss=0.04849, over 13384.00 frames. utt_duration=1307 frames, utt_pad_proportion=0.0761, over 41.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.3427, pruned_loss=0.0959, over 2779863.34 frames. utt_duration=244.6 frames, utt_pad_proportion=0.07266, over 45729.20 utterances.], batch size: 41, lr: 1.46e-04
+2022-09-19 22:54:53,969 INFO [train.py:885] (1/2) Epoch 32, batch 9000, loss[loss=0.2251, simple_loss=0.3054, pruned_loss=0.07235, over 14268.00 frames. utt_duration=406.1 frames, utt_pad_proportion=0.04456, over 141.00 utterances.], tot_loss[loss=0.2684, simple_loss=0.3438, pruned_loss=0.09644, over 2778451.90 frames. utt_duration=241.2 frames, utt_pad_proportion=0.07416, over 46360.23 utterances.], batch size: 141, lr: 1.46e-04
+2022-09-19 22:54:53,970 INFO [train.py:905] (1/2) Computing validation loss
+2022-09-19 22:54:58,300 INFO [train.py:914] (1/2) Epoch 32, validation: loss=0.1893, simple_loss=0.2679, 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 22:55:28,501 INFO [train.py:885] (1/2) Epoch 32, batch 9050, loss[loss=0.2869, simple_loss=0.3535, pruned_loss=0.1101, over 14347.00 frames. utt_duration=345 frames, utt_pad_proportion=0.03903, over 167.00 utterances.], tot_loss[loss=0.2683, simple_loss=0.3434, pruned_loss=0.09663, over 2780871.33 frames. utt_duration=245.5 frames, utt_pad_proportion=0.07168, over 45576.46 utterances.], batch size: 167, lr: 1.46e-04
+2022-09-19 22:55:58,413 INFO [train.py:885] (1/2) Epoch 32, batch 9100, loss[loss=0.3842, simple_loss=0.4812, pruned_loss=0.1435, over 13134.00 frames. utt_duration=81.96 frames, utt_pad_proportion=0.1091, over 653.00 utterances.], tot_loss[loss=0.2675, simple_loss=0.343, pruned_loss=0.09606, over 2784216.93 frames. utt_duration=246.4 frames, utt_pad_proportion=0.07122, over 45473.29 utterances.], batch size: 653, lr: 1.46e-04
+2022-09-19 22:56:28,529 INFO [train.py:885] (1/2) Epoch 32, batch 9150, loss[loss=0.4628, simple_loss=0.5667, pruned_loss=0.1794, over 12503.00 frames. utt_duration=63.32 frames, utt_pad_proportion=0.1443, over 810.00 utterances.], tot_loss[loss=0.2688, simple_loss=0.3438, pruned_loss=0.09692, over 2785243.33 frames. utt_duration=247.2 frames, utt_pad_proportion=0.07063, over 45334.20 utterances.], batch size: 810, lr: 1.46e-04
+2022-09-19 22:56:58,378 INFO [train.py:885] (1/2) Epoch 32, batch 9200, loss[loss=0.2153, simple_loss=0.2875, pruned_loss=0.0715, over 12860.00 frames. utt_duration=2059 frames, utt_pad_proportion=0.1393, over 25.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3408, pruned_loss=0.09586, over 2787634.03 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06834, over 43714.34 utterances.], batch size: 25, lr: 1.46e-04
+2022-09-19 22:57:28,121 INFO [train.py:885] (1/2) Epoch 32, batch 9250, loss[loss=0.2857, simple_loss=0.3883, pruned_loss=0.09157, over 13783.00 frames. utt_duration=135.6 frames, utt_pad_proportion=0.07138, over 411.00 utterances.], tot_loss[loss=0.2622, simple_loss=0.3373, pruned_loss=0.09353, over 2779748.77 frames. utt_duration=257.3 frames, utt_pad_proportion=0.06999, over 43466.59 utterances.], batch size: 411, lr: 1.46e-04
+2022-09-19 22:57:58,221 INFO [train.py:885] (1/2) Epoch 32, batch 9300, loss[loss=0.2806, simple_loss=0.3878, pruned_loss=0.08672, over 13608.00 frames. utt_duration=115.7 frames, utt_pad_proportion=0.08204, over 477.00 utterances.], tot_loss[loss=0.266, simple_loss=0.3416, pruned_loss=0.09516, over 2784239.11 frames. utt_duration=249.9 frames, utt_pad_proportion=0.06843, over 44828.81 utterances.], batch size: 477, lr: 1.46e-04
+2022-09-19 22:58:28,382 INFO [train.py:885] (1/2) Epoch 32, batch 9350, loss[loss=0.2615, simple_loss=0.3279, pruned_loss=0.09753, over 13985.00 frames. utt_duration=709.7 frames, utt_pad_proportion=0.06002, over 79.00 utterances.], tot_loss[loss=0.2663, simple_loss=0.3423, pruned_loss=0.09515, over 2780836.88 frames. utt_duration=246.1 frames, utt_pad_proportion=0.06984, over 45468.53 utterances.], batch size: 79, lr: 1.46e-04
+2022-09-19 22:58:57,868 INFO [train.py:885] (1/2) Epoch 32, batch 9400, loss[loss=0.2393, simple_loss=0.3218, pruned_loss=0.07844, over 14238.00 frames. utt_duration=405.3 frames, utt_pad_proportion=0.04634, over 141.00 utterances.], tot_loss[loss=0.2672, simple_loss=0.343, pruned_loss=0.09569, over 2779654.47 frames. utt_duration=244.7 frames, utt_pad_proportion=0.06992, over 45717.00 utterances.], batch size: 141, lr: 1.46e-04
+2022-09-19 22:59:27,710 INFO [train.py:885] (1/2) Epoch 32, batch 9450, loss[loss=0.1859, simple_loss=0.2453, pruned_loss=0.06322, over 13648.00 frames. utt_duration=1301 frames, utt_pad_proportion=0.08806, over 42.00 utterances.], tot_loss[loss=0.2679, simple_loss=0.3437, pruned_loss=0.09602, over 2778073.14 frames. utt_duration=238.9 frames, utt_pad_proportion=0.07081, over 46794.15 utterances.], batch size: 42, lr: 1.46e-04
+2022-09-19 22:59:58,073 INFO [train.py:885] (1/2) Epoch 32, batch 9500, loss[loss=0.1877, simple_loss=0.2571, pruned_loss=0.05919, over 13948.00 frames. utt_duration=810.1 frames, utt_pad_proportion=0.05694, over 69.00 utterances.], tot_loss[loss=0.2644, simple_loss=0.3396, pruned_loss=0.09457, over 2786675.91 frames. utt_duration=252 frames, utt_pad_proportion=0.06742, over 44484.55 utterances.], batch size: 69, lr: 1.46e-04
+2022-09-19 23:00:28,318 INFO [train.py:885] (1/2) Epoch 32, batch 9550, loss[loss=0.274, simple_loss=0.3456, pruned_loss=0.1012, over 14362.00 frames. utt_duration=296.1 frames, utt_pad_proportion=0.0356, over 195.00 utterances.], tot_loss[loss=0.2643, simple_loss=0.339, pruned_loss=0.09478, over 2788153.19 frames. utt_duration=256.5 frames, utt_pad_proportion=0.06609, over 43726.64 utterances.], batch size: 195, lr: 1.46e-04
+2022-09-19 23:00:57,920 INFO [train.py:885] (1/2) Epoch 32, batch 9600, loss[loss=0.2051, simple_loss=0.2811, pruned_loss=0.06452, over 14155.00 frames. utt_duration=521 frames, utt_pad_proportion=0.04577, over 109.00 utterances.], tot_loss[loss=0.2634, simple_loss=0.3385, pruned_loss=0.09415, over 2786437.77 frames. utt_duration=253.5 frames, utt_pad_proportion=0.06678, over 44214.62 utterances.], batch size: 109, lr: 1.46e-04
+2022-09-19 23:01:28,168 INFO [train.py:885] (1/2) Epoch 32, batch 9650, loss[loss=0.2757, simple_loss=0.384, pruned_loss=0.08368, over 13784.00 frames. utt_duration=135.7 frames, utt_pad_proportion=0.07043, over 411.00 utterances.], tot_loss[loss=0.2664, simple_loss=0.3419, pruned_loss=0.09546, over 2784223.18 frames. utt_duration=245.4 frames, utt_pad_proportion=0.06884, over 45660.04 utterances.], batch size: 411, lr: 1.46e-04
+2022-09-19 23:01:57,288 INFO [train.py:885] (1/2) Epoch 32, batch 9700, loss[loss=0.1895, simple_loss=0.2651, pruned_loss=0.05692, over 14064.00 frames. utt_duration=575.5 frames, utt_pad_proportion=0.05501, over 98.00 utterances.], tot_loss[loss=0.2621, simple_loss=0.3376, pruned_loss=0.09333, over 2782426.25 frames. utt_duration=249.7 frames, utt_pad_proportion=0.06854, over 44843.05 utterances.], batch size: 98, lr: 1.46e-04
+2022-09-19 23:02:27,348 INFO [train.py:885] (1/2) Epoch 32, batch 9750, loss[loss=0.1643, simple_loss=0.235, pruned_loss=0.04687, over 14128.00 frames. utt_duration=808.6 frames, utt_pad_proportion=0.05653, over 70.00 utterances.], tot_loss[loss=0.264, simple_loss=0.3396, pruned_loss=0.09421, over 2786481.61 frames. utt_duration=249.5 frames, utt_pad_proportion=0.06741, over 44943.13 utterances.], batch size: 70, lr: 1.46e-04
+2022-09-19 23:02:56,913 INFO [train.py:885] (1/2) Epoch 32, batch 9800, loss[loss=0.3063, simple_loss=0.4065, pruned_loss=0.103, over 13679.00 frames. utt_duration=116.1 frames, utt_pad_proportion=0.07838, over 477.00 utterances.], tot_loss[loss=0.2671, simple_loss=0.3423, pruned_loss=0.09594, over 2788283.36 frames. utt_duration=249.3 frames, utt_pad_proportion=0.0658, over 45005.09 utterances.], batch size: 477, lr: 1.46e-04
+2022-09-19 23:03:27,536 INFO [train.py:885] (1/2) Epoch 32, batch 9850, loss[loss=0.2216, simple_loss=0.3153, pruned_loss=0.06392, over 14403.00 frames. utt_duration=346.4 frames, utt_pad_proportion=0.03511, over 167.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3431, pruned_loss=0.09663, over 2788941.35 frames. utt_duration=247.8 frames, utt_pad_proportion=0.06635, over 45296.26 utterances.], batch size: 167, lr: 1.46e-04
+2022-09-19 23:03:56,365 INFO [train.py:885] (1/2) Epoch 32, batch 9900, loss[loss=0.2769, simple_loss=0.3551, pruned_loss=0.09939, over 14305.00 frames. utt_duration=319.2 frames, utt_pad_proportion=0.03865, over 180.00 utterances.], tot_loss[loss=0.2665, simple_loss=0.3414, pruned_loss=0.09578, over 2787298.61 frames. utt_duration=251.6 frames, utt_pad_proportion=0.06654, over 44577.29 utterances.], batch size: 180, lr: 1.46e-04
+2022-09-19 23:04:27,036 INFO [train.py:885] (1/2) Epoch 32, batch 9950, loss[loss=0.3004, simple_loss=0.4061, pruned_loss=0.09733, over 13669.00 frames. utt_duration=115.9 frames, utt_pad_proportion=0.08021, over 478.00 utterances.], tot_loss[loss=0.2682, simple_loss=0.3431, pruned_loss=0.0967, over 2783140.41 frames. utt_duration=245 frames, utt_pad_proportion=0.06847, over 45713.55 utterances.], batch size: 478, lr: 1.46e-04
+2022-09-19 23:04:28,547 INFO [utils.py:968] (1/2) Saving batch to pruned_transducer_stateless5/exp-uk-filtered2/batch-7aeff54e-808c-46a6-1f49-2fba47a1fca7.pt
+2022-09-19 23:04:28,582 INFO [utils.py:974] (1/2) features shape: torch.Size([244, 246, 80])
+2022-09-19 23:04:28,584 INFO [utils.py:978] (1/2) num tokens: 3731