| 2025-01-24,12:21:02 | INFO | Running in distributed mode with multiple processes. Device: cuda:0.Process (global: 0, local 0), total 2. | |
| 2025-01-24,12:21:02 | INFO | Initializing logit scale based on loss type. | |
| 2025-01-24,12:21:02 | INFO | Loaded ViT-B-32 model config. | |
| 2025-01-24,12:21:03 | INFO | Model: | |
| 2025-01-24,12:21:03 | INFO | CLIP( | |
| (visual): VisionTransformer( | |
| (conv1): Conv2d(3, 768, kernel_size=(32, 32), stride=(32, 32), bias=False) | |
| (patch_dropout): Identity() | |
| (ln_pre): LayerNorm((768,), eps=1e-05, elementwise_affine=True) | |
| (transformer): Transformer( | |
| (resblocks): ModuleList( | |
| (0-11): 12 x ResidualAttentionBlock( | |
| (ln_1): LayerNorm((768,), eps=1e-05, elementwise_affine=True) | |
| (attn): MultiheadAttention( | |
| (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True) | |
| ) | |
| (ls_1): Identity() | |
| (ln_2): LayerNorm((768,), eps=1e-05, elementwise_affine=True) | |
| (mlp): Sequential( | |
| (c_fc): Linear(in_features=768, out_features=3072, bias=True) | |
| (gelu): GELU(approximate='none') | |
| (c_proj): Linear(in_features=3072, out_features=768, bias=True) | |
| ) | |
| (ls_2): Identity() | |
| ) | |
| ) | |
| ) | |
| (ln_post): LayerNorm((768,), eps=1e-05, elementwise_affine=True) | |
| ) | |
| (transformer): Transformer( | |
| (resblocks): ModuleList( | |
| (0-11): 12 x ResidualAttentionBlock( | |
| (ln_1): LayerNorm((512,), eps=1e-05, elementwise_affine=True) | |
| (attn): MultiheadAttention( | |
| (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) | |
| ) | |
| (ls_1): Identity() | |
| (ln_2): LayerNorm((512,), eps=1e-05, elementwise_affine=True) | |
| (mlp): Sequential( | |
| (c_fc): Linear(in_features=512, out_features=2048, bias=True) | |
| (gelu): GELU(approximate='none') | |
| (c_proj): Linear(in_features=2048, out_features=512, bias=True) | |
| ) | |
| (ls_2): Identity() | |
| ) | |
| ) | |
| ) | |
| (token_embedding): Embedding(49408, 512) | |
| (ln_final): LayerNorm((512,), eps=1e-05, elementwise_affine=True) | |
| ) | |
| 2025-01-24,12:21:03 | INFO | Params: | |
| 2025-01-24,12:21:03 | INFO | accum_freq: 1 | |
| 2025-01-24,12:21:03 | INFO | added_positive_type: sample | |
| 2025-01-24,12:21:03 | INFO | aug_cfg: {} | |
| 2025-01-24,12:21:03 | INFO | batch_size: 1990 | |
| 2025-01-24,12:21:03 | INFO | beta1: 0.9 | |
| 2025-01-24,12:21:03 | INFO | beta2: 0.98 | |
| 2025-01-24,12:21:03 | INFO | beta_decay_epochs: 16 | |
| 2025-01-24,12:21:03 | INFO | cache_dir: None | |
| 2025-01-24,12:21:03 | INFO | calculate_full: True | |
| 2025-01-24,12:21:03 | INFO | checkpoint_path: ./logs/emn_fix-bias-10.0sample-negFalse-scaleFalse-pos1.0-eps1e-06-stocFalselr0.0004-ViT-B-32-1990_0124122059/checkpoints | |
| 2025-01-24,12:21:03 | INFO | coca_caption_loss_weight: 2.0 | |
| 2025-01-24,12:21:03 | INFO | coca_contrastive_loss_weight: 1.0 | |
| 2025-01-24,12:21:03 | INFO | contrast_neg_only: False | |
| 2025-01-24,12:21:03 | INFO | copy_codebase: False | |
| 2025-01-24,12:21:03 | INFO | csv_caption_key: title | |
| 2025-01-24,12:21:03 | INFO | csv_img_key: filepath | |
| 2025-01-24,12:21:03 | INFO | csv_separator: | |
| 2025-01-24,12:21:03 | INFO | dataset_resampled: False | |
| 2025-01-24,12:21:03 | INFO | dataset_type: webdataset | |
| 2025-01-24,12:21:03 | INFO | ddp_static_graph: False | |
| 2025-01-24,12:21:03 | INFO | debug: False | |
| 2025-01-24,12:21:03 | INFO | delete_previous_checkpoint: False | |
| 2025-01-24,12:21:03 | INFO | denormalize_features: False | |
| 2025-01-24,12:21:03 | INFO | device: cuda:0 | |
| 2025-01-24,12:21:03 | INFO | dist_backend: None | |
| 2025-01-24,12:21:03 | INFO | dist_url: None | |
| 2025-01-24,12:21:03 | INFO | distill: False | |
| 2025-01-24,12:21:03 | INFO | distill_model: None | |
| 2025-01-24,12:21:03 | INFO | distill_pretrained: None | |
| 2025-01-24,12:21:03 | INFO | distributed: True | |
| 2025-01-24,12:21:03 | INFO | ema_z_mode: ema_n_model | |
| 2025-01-24,12:21:03 | INFO | epochs: 33 | |
| 2025-01-24,12:21:03 | INFO | epochs_cooldown: None | |
| 2025-01-24,12:21:03 | INFO | eps: 1e-06 | |
| 2025-01-24,12:21:03 | INFO | fit_neg_only: True | |
| 2025-01-24,12:21:03 | INFO | fit_w_prev: False | |
| 2025-01-24,12:21:03 | INFO | force_custom_text: False | |
| 2025-01-24,12:21:03 | INFO | force_image_size: None | |
| 2025-01-24,12:21:03 | INFO | force_patch_dropout: None | |
| 2025-01-24,12:21:03 | INFO | force_quick_gelu: False | |
| 2025-01-24,12:21:03 | INFO | freeze_lambda_after_num_epochs: 100 | |
| 2025-01-24,12:21:03 | INFO | gather_with_grad: True | |
| 2025-01-24,12:21:03 | INFO | grad_checkpointing: False | |
| 2025-01-24,12:21:03 | INFO | grad_clip_norm: 1.0 | |
| 2025-01-24,12:21:03 | INFO | h_dim_factor: 4 | |
| 2025-01-24,12:21:03 | INFO | horovod: False | |
| 2025-01-24,12:21:03 | INFO | image_interpolation: None | |
| 2025-01-24,12:21:03 | INFO | image_mean: None | |
| 2025-01-24,12:21:03 | INFO | image_resize_mode: None | |
| 2025-01-24,12:21:03 | INFO | image_std: None | |
| 2025-01-24,12:21:03 | INFO | imagenet_v2: None | |
| 2025-01-24,12:21:03 | INFO | imagenet_val: /scratch/imagenet/val/ | |
| 2025-01-24,12:21:03 | INFO | init_lambda: 1.0 | |
| 2025-01-24,12:21:03 | INFO | init_logit_bias: -10.0 | |
| 2025-01-24,12:21:03 | INFO | init_logit_scale: None | |
| 2025-01-24,12:21:03 | INFO | lambda_eps: 1e-12 | |
| 2025-01-24,12:21:03 | INFO | lambda_lr: 0.001 | |
| 2025-01-24,12:21:03 | INFO | lambda_tolerance: 0.0005 | |
| 2025-01-24,12:21:03 | INFO | lambda_update_frequency: [20, 10, 1] | |
| 2025-01-24,12:21:03 | INFO | learn_logit_bias: False | |
| 2025-01-24,12:21:03 | INFO | learn_logit_scale: True | |
| 2025-01-24,12:21:03 | INFO | local_loss: True | |
| 2025-01-24,12:21:03 | INFO | local_rank: 0 | |
| 2025-01-24,12:21:03 | INFO | lock_image: False | |
| 2025-01-24,12:21:03 | INFO | lock_image_freeze_bn_stats: False | |
| 2025-01-24,12:21:03 | INFO | lock_image_unlocked_groups: 0 | |
| 2025-01-24,12:21:03 | INFO | lock_text: False | |
| 2025-01-24,12:21:03 | INFO | lock_text_freeze_layer_norm: False | |
| 2025-01-24,12:21:03 | INFO | lock_text_unlocked_layers: 0 | |
| 2025-01-24,12:21:03 | INFO | log_every_n_steps: 100 | |
| 2025-01-24,12:21:03 | INFO | log_level: 20 | |
| 2025-01-24,12:21:03 | INFO | log_local: False | |
| 2025-01-24,12:21:03 | INFO | log_path: ./logs/emn_fix-bias-10.0sample-negFalse-scaleFalse-pos1.0-eps1e-06-stocFalselr0.0004-ViT-B-32-1990_0124122059/out.log | |
| 2025-01-24,12:21:03 | INFO | logit_scale_clamp: 100 | |
| 2025-01-24,12:21:03 | INFO | logs: ./logs/ | |
| 2025-01-24,12:21:03 | INFO | loss_type: COND_EXP | |
| 2025-01-24,12:21:03 | INFO | lr: 0.0004 | |
| 2025-01-24,12:21:03 | INFO | lr_cooldown_end: 0.0 | |
| 2025-01-24,12:21:03 | INFO | lr_cooldown_power: 1.0 | |
| 2025-01-24,12:21:03 | INFO | lr_scheduler: cosine | |
| 2025-01-24,12:21:03 | INFO | lr_tau: 0.0001 | |
| 2025-01-24,12:21:03 | INFO | model: ViT-B-32 | |
| 2025-01-24,12:21:03 | INFO | model_beta_init: 0.0 | |
| 2025-01-24,12:21:03 | INFO | model_ema_beta: 0.99 | |
| 2025-01-24,12:21:03 | INFO | model_update_type: ONE_STEP | |
| 2025-01-24,12:21:03 | INFO | n_class_tokens: -1 | |
| 2025-01-24,12:21:03 | INFO | name: emn_fix-bias-10.0sample-negFalse-scaleFalse-pos1.0-eps1e-06-stocFalselr0.0004-ViT-B-32-1990_0124122059 | |
| 2025-01-24,12:21:03 | INFO | no_set_device_rank: False | |
| 2025-01-24,12:21:03 | INFO | norm_cap: 1.0 | |
| 2025-01-24,12:21:03 | INFO | normalize_type: L2 | |
| 2025-01-24,12:21:03 | INFO | note: emn_fix | |
| 2025-01-24,12:21:03 | INFO | pos_coef: 1.0 | |
| 2025-01-24,12:21:03 | INFO | precision: amp | |
| 2025-01-24,12:21:03 | INFO | pretrained: | |
| 2025-01-24,12:21:03 | INFO | pretrained_image: False | |
| 2025-01-24,12:21:03 | INFO | rank: 0 | |
| 2025-01-24,12:21:03 | INFO | remote_sync: None | |
| 2025-01-24,12:21:03 | INFO | remote_sync_frequency: 300 | |
| 2025-01-24,12:21:03 | INFO | remote_sync_protocol: s3 | |
| 2025-01-24,12:21:03 | INFO | report_to: wandb | |
| 2025-01-24,12:21:03 | INFO | resume: None | |
| 2025-01-24,12:21:03 | INFO | save_frequency: 1 | |
| 2025-01-24,12:21:03 | INFO | save_most_recent: False | |
| 2025-01-24,12:21:03 | INFO | scale_loss: False | |
| 2025-01-24,12:21:03 | INFO | seed: 42 | |
| 2025-01-24,12:21:03 | INFO | siglip: False | |
| 2025-01-24,12:21:03 | INFO | skip_scheduler: False | |
| 2025-01-24,12:21:03 | INFO | stoc_fit_lambda: False | |
| 2025-01-24,12:21:03 | INFO | tensorboard: False | |
| 2025-01-24,12:21:03 | INFO | tensorboard_path: | |
| 2025-01-24,12:21:03 | INFO | torchcompile: False | |
| 2025-01-24,12:21:03 | INFO | torchscript: False | |
| 2025-01-24,12:21:03 | INFO | trace: False | |
| 2025-01-24,12:21:03 | INFO | train_data: /scratch/cc12m/{00000..01240}.tar | |
| 2025-01-24,12:21:03 | INFO | train_data_upsampling_factors: None | |
| 2025-01-24,12:21:03 | INFO | train_num_samples: 9187328 | |
| 2025-01-24,12:21:03 | INFO | update_ema_mlps_every_n_steps: 2000 | |
| 2025-01-24,12:21:03 | INFO | use_bn_sync: False | |
| 2025-01-24,12:21:03 | INFO | use_bnb_linear: None | |
| 2025-01-24,12:21:03 | INFO | use_feature_diff: False | |
| 2025-01-24,12:21:03 | INFO | val_data: /scratch/cc12m/{01241..01242}.tar | |
| 2025-01-24,12:21:03 | INFO | val_frequency: 1 | |
| 2025-01-24,12:21:03 | INFO | val_num_samples: 205824 | |
| 2025-01-24,12:21:03 | INFO | wandb: True | |
| 2025-01-24,12:21:03 | INFO | wandb_notes: | |
| 2025-01-24,12:21:03 | INFO | wandb_project_name: open-clip | |
| 2025-01-24,12:21:03 | INFO | warmup: 10000 | |
| 2025-01-24,12:21:03 | INFO | wd: 0.1 | |
| 2025-01-24,12:21:03 | INFO | workers: 6 | |
| 2025-01-24,12:21:03 | INFO | world_size: 2 | |
| 2025-01-24,12:21:03 | INFO | z_beta_max: 0.8 | |
| 2025-01-24,12:21:03 | INFO | zeroshot_frequency: 1 | |
| 2025-01-24,12:21:03 | INFO | lr: 0.0004, lr_tau: 0.0001 | |
| 2025-01-24,12:21:03 | INFO | lr: 0.0004, lr_tau: 0.0001 | |
| 2025-01-24,12:21:11 | INFO | Start epoch 0 | |
| 2025-01-24,12:21:33 | INFO | Train Epoch: 0 [ 3980/9193800 (0%)] Step: 0.0K | Data (t): 9.233 Batch (t): 22.362, 177.981/s, 88.9904/s/gpu Logit Scale: 14.286 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 2.9390 (2.9390) Joint_loss: -0.85034 (-0.85034) Cross_loss: 2.0886 (2.0886) Image_lambda_loss: 0.0082425 (0.0082425) Text_lambda_loss: 0.10184 (0.10184) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:23:47 | INFO | Train Epoch: 0 [ 401980/9193800 (4%)] Step: 0.1K | Data (t): 0.217 Batch (t): 1.340, 3166.03/s, 1583.01/s/gpu Logit Scale: 14.224 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 4.5777 (3.7583) Joint_loss: -2.5795 (-1.7149) Cross_loss: 1.9983 (2.0435) Image_lambda_loss: 0.0022100 (0.0052262) Text_lambda_loss: 0.0019725 (0.051904) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:26:06 | INFO | Train Epoch: 0 [ 799980/9193800 (9%)] Step: 0.2K | Data (t): 0.267 Batch (t): 1.388, 2580.72/s, 1290.36/s/gpu Logit Scale: 14.240 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -3.4579 (1.3529) Joint_loss: 5.4568 (0.67565) Cross_loss: 1.9988 (2.0286) Image_lambda_loss: 0.0041116 (0.0048547) Text_lambda_loss: 0.0034626 (0.035757) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:28:26 | INFO | Train Epoch: 0 [1197980/9193800 (13%)] Step: 0.3K | Data (t): 0.265 Batch (t): 1.393, 2918.42/s, 1459.21/s/gpu Logit Scale: 14.246 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -2.1749 (0.47097) Joint_loss: 4.1903 (1.5543) Cross_loss: 2.0154 (2.0253) Image_lambda_loss: 0.0053062 (0.0049676) Text_lambda_loss: 0.014397 (0.030417) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:30:46 | INFO | Train Epoch: 0 [1595980/9193800 (17%)] Step: 0.4K | Data (t): 0.265 Batch (t): 1.403, 2997.69/s, 1498.85/s/gpu Logit Scale: 14.253 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -0.11790 (0.35319) Joint_loss: 2.1180 (1.6670) Cross_loss: 2.0001 (2.0202) Image_lambda_loss: 0.0081296 (0.0056000) Text_lambda_loss: 0.022353 (0.028804) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:33:01 | INFO | Train Epoch: 0 [1993980/9193800 (22%)] Step: 0.5K | Data (t): 0.268 Batch (t): 1.354, 2897.95/s, 1448.97/s/gpu Logit Scale: 14.326 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 4.5002 (1.0444) Joint_loss: -2.4513 (0.98065) Cross_loss: 2.0489 (2.0250) Image_lambda_loss: 0.016563 (0.0074272) Text_lambda_loss: 0.067873 (0.035316) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:35:17 | INFO | Train Epoch: 0 [2391980/9193800 (26%)] Step: 0.6K | Data (t): 0.260 Batch (t): 1.357, 2990.84/s, 1495.42/s/gpu Logit Scale: 14.465 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 7.9093 (2.0251) Joint_loss: -5.9375 (-0.0076551) Cross_loss: 1.9718 (2.0174) Image_lambda_loss: 0.013245 (0.0082584) Text_lambda_loss: 0.060843 (0.038962) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:37:35 | INFO | Train Epoch: 0 [2789980/9193800 (30%)] Step: 0.7K | Data (t): 0.265 Batch (t): 1.375, 2991.60/s, 1495.80/s/gpu Logit Scale: 14.597 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 9.6780 (2.9817) Joint_loss: -7.6747 (-0.96603) Cross_loss: 2.0033 (2.0156) Image_lambda_loss: 0.035046 (0.011607) Text_lambda_loss: 0.064094 (0.042104) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:39:52 | INFO | Train Epoch: 0 [3187980/9193800 (35%)] Step: 0.8K | Data (t): 0.274 Batch (t): 1.371, 3035.61/s, 1517.80/s/gpu Logit Scale: 14.734 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 8.6608 (3.6127) Joint_loss: -6.5849 (-1.5903) Cross_loss: 2.0760 (2.0223) Image_lambda_loss: 0.013868 (0.011858) Text_lambda_loss: 0.030293 (0.040792) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:42:09 | INFO | Train Epoch: 0 [3585980/9193800 (39%)] Step: 0.9K | Data (t): 0.267 Batch (t): 1.369, 2963.08/s, 1481.54/s/gpu Logit Scale: 14.865 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 7.1145 (3.9629) Joint_loss: -5.0785 (-1.9392) Cross_loss: 2.0360 (2.0237) Image_lambda_loss: 0.0099622 (0.011668) Text_lambda_loss: 0.037215 (0.040434) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:44:23 | INFO | Train Epoch: 0 [3983980/9193800 (43%)] Step: 1.0K | Data (t): 0.264 Batch (t): 1.346, 2842.07/s, 1421.03/s/gpu Logit Scale: 14.997 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 6.8451 (4.2249) Joint_loss: -4.8306 (-2.2020) Cross_loss: 2.0145 (2.0229) Image_lambda_loss: 0.011296 (0.011635) Text_lambda_loss: 0.048967 (0.041210) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:46:39 | INFO | Train Epoch: 0 [4381980/9193800 (48%)] Step: 1.1K | Data (t): 0.263 Batch (t): 1.354, 2796.27/s, 1398.14/s/gpu Logit Scale: 15.141 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 6.5653 (4.4199) Joint_loss: -4.5302 (-2.3960) Cross_loss: 2.0352 (2.0239) Image_lambda_loss: 0.013453 (0.011786) Text_lambda_loss: 0.044164 (0.041456) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:48:55 | INFO | Train Epoch: 0 [4779980/9193800 (52%)] Step: 1.2K | Data (t): 0.263 Batch (t): 1.365, 2710.70/s, 1355.35/s/gpu Logit Scale: 15.291 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 6.4666 (4.5774) Joint_loss: -4.4245 (-2.5521) Cross_loss: 2.0421 (2.0253) Image_lambda_loss: 0.014254 (0.011976) Text_lambda_loss: 0.034457 (0.040917) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:51:12 | INFO | Train Epoch: 0 [5177980/9193800 (56%)] Step: 1.3K | Data (t): 0.259 Batch (t): 1.367, 2817.70/s, 1408.85/s/gpu Logit Scale: 15.437 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 6.1797 (4.6918) Joint_loss: -4.1529 (-2.6664) Cross_loss: 2.0268 (2.0254) Image_lambda_loss: 0.012303 (0.011999) Text_lambda_loss: 0.060069 (0.042285) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:53:27 | INFO | Train Epoch: 0 [5575980/9193800 (61%)] Step: 1.4K | Data (t): 0.265 Batch (t): 1.356, 2846.59/s, 1423.29/s/gpu Logit Scale: 15.584 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 6.2929 (4.7986) Joint_loss: -4.2595 (-2.7726) Cross_loss: 2.0334 (2.0259) Image_lambda_loss: 0.012265 (0.012017) Text_lambda_loss: 0.070014 (0.044134) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:55:44 | INFO | Train Epoch: 0 [5973980/9193800 (65%)] Step: 1.5K | Data (t): 0.266 Batch (t): 1.367, 3019.27/s, 1509.63/s/gpu Logit Scale: 15.731 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 4.2763 (4.7659) Joint_loss: -2.2653 (-2.7409) Cross_loss: 2.0111 (2.0250) Image_lambda_loss: 0.010123 (0.011899) Text_lambda_loss: 0.036402 (0.043651) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,12:57:59 | INFO | Train Epoch: 0 [6371980/9193800 (69%)] Step: 1.6K | Data (t): 0.266 Batch (t): 1.354, 2748.43/s, 1374.22/s/gpu Logit Scale: 15.881 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 4.1751 (4.7312) Joint_loss: -2.1212 (-2.7045) Cross_loss: 2.0539 (2.0267) Image_lambda_loss: 0.017208 (0.012211) Text_lambda_loss: 0.063206 (0.044801) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,13:00:15 | INFO | Train Epoch: 0 [6769980/9193800 (74%)] Step: 1.7K | Data (t): 0.262 Batch (t): 1.356, 2964.30/s, 1482.15/s/gpu Logit Scale: 16.036 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 5.0264 (4.7476) Joint_loss: -2.9899 (-2.7203) Cross_loss: 2.0365 (2.0273) Image_lambda_loss: 0.017442 (0.012502) Text_lambda_loss: 0.046367 (0.044888) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,13:02:33 | INFO | Train Epoch: 0 [7167980/9193800 (78%)] Step: 1.8K | Data (t): 0.268 Batch (t): 1.378, 2997.55/s, 1498.77/s/gpu Logit Scale: 16.195 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 3.6771 (4.6912) Joint_loss: -1.6501 (-2.6640) Cross_loss: 2.0270 (2.0272) Image_lambda_loss: 0.013778 (0.012569) Text_lambda_loss: 0.054169 (0.045376) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,13:04:52 | INFO | Train Epoch: 0 [7565980/9193800 (82%)] Step: 1.9K | Data (t): 0.277 Batch (t): 1.395, 2798.74/s, 1399.37/s/gpu Logit Scale: 16.350 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 4.2033 (4.6668) Joint_loss: -2.1980 (-2.6407) Cross_loss: 2.0052 (2.0261) Image_lambda_loss: 0.015483 (0.012714) Text_lambda_loss: 0.054322 (0.045824) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,13:07:14 | INFO | Train Epoch: 0 [7963980/9193800 (87%)] Step: 2.0K | Data (t): 0.272 Batch (t): 1.416, 2862.63/s, 1431.31/s/gpu Logit Scale: 16.510 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 3.1664 (4.5954) Joint_loss: -1.1205 (-2.5683) Cross_loss: 2.0459 (2.0271) Image_lambda_loss: 0.014512 (0.012800) Text_lambda_loss: 0.070621 (0.047005) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,13:09:32 | INFO | Train Epoch: 0 [8361980/9193800 (91%)] Step: 2.1K | Data (t): 0.262 Batch (t): 1.382, 2692.25/s, 1346.12/s/gpu Logit Scale: 16.668 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 2.9128 (4.5189) Joint_loss: -0.88354 (-2.4917) Cross_loss: 2.0293 (2.0272) Image_lambda_loss: 0.014114 (0.012860) Text_lambda_loss: 0.052947 (0.047275) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,13:11:50 | INFO | Train Epoch: 0 [8759980/9193800 (95%)] Step: 2.2K | Data (t): 0.275 Batch (t): 1.384, 3028.96/s, 1514.48/s/gpu Logit Scale: 16.835 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 2.1907 (4.4177) Joint_loss: -0.15891 (-2.3903) Cross_loss: 2.0318 (2.0274) Image_lambda_loss: 0.021822 (0.013249) Text_lambda_loss: 0.050683 (0.047423) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,13:14:08 | INFO | Train Epoch: 0 [9157980/9193800 (100%)] Step: 2.3K | Data (t): 0.268 Batch (t): 1.370, 2998.97/s, 1499.49/s/gpu Logit Scale: 16.991 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 1.9042 (4.3130) Joint_loss: 0.13681 (-2.2850) Cross_loss: 2.0410 (2.0280) Image_lambda_loss: 0.020626 (0.013557) Text_lambda_loss: 0.045941 (0.047361) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,13:14:19 | INFO | Train Epoch: 0 [9193800/9193800 (100%)] Step: 2.3K | Data (t): 0.218 Batch (t): 1.289, 3057.31/s, 1528.65/s/gpu Logit Scale: 17.007 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 1.8246 (4.2134) Joint_loss: 0.21489 (-2.1850) Cross_loss: 2.0395 (2.0284) Image_lambda_loss: 0.020630 (0.013840) Text_lambda_loss: 0.054434 (0.047644) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | | |
| 2025-01-24,13:14:19 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,13:14:19 | INFO | Building zero-shot classifier | |
| 2025-01-24,13:14:27 | INFO | Using classifier | |
| 2025-01-24,13:15:29 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,13:15:39 | INFO | Eval Epoch: 1 [1990 / 205824] Clip Loss: 5.000251 | |
| 2025-01-24,13:16:12 | INFO | Eval Epoch: 1 imagenet-zeroshot-val-top1: 0.0237 imagenet-zeroshot-val-top5: 0.0770 image_to_text_mean_rank: 473.0561 image_to_text_median_rank: 102.0000 image_to_text_R@1: 0.0510 image_to_text_R@5: 0.1322 image_to_text_R@10: 0.1868 text_to_image_mean_rank: 495.3976 text_to_image_median_rank: 103.0000 text_to_image_R@1: 0.0441 text_to_image_R@5: 0.1263 text_to_image_R@10: 0.1852 clip_val_loss: 4.9246 epoch: 1.0000 num_samples: 8678.0000 | |
| 2025-01-24,13:16:14 | INFO | Start epoch 1 | |
| 2025-01-24,13:16:24 | INFO | Train Epoch: 1 [ 3980/9193800 (0%)] Step: 2.3K | Data (t): 8.840 Batch (t): 10.124, 393.110/s, 196.555/s/gpu Logit Scale: 17.008 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 1.2045 (1.2045) Joint_loss: 0.72133 (0.72133) Cross_loss: 1.9258 (1.9258) Image_lambda_loss: 0.018737 (0.018737) Text_lambda_loss: 0.054307 (0.054307) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:18:39 | INFO | Train Epoch: 1 [ 401980/9193800 (4%)] Step: 2.4K | Data (t): 0.229 Batch (t): 1.353, 2928.76/s, 1464.38/s/gpu Logit Scale: 17.119 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -2.0967 (-0.44612) Joint_loss: 4.1028 (2.4121) Cross_loss: 2.0061 (1.9660) Image_lambda_loss: 0.025236 (0.021987) Text_lambda_loss: 0.067369 (0.060838) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:20:58 | INFO | Train Epoch: 1 [ 799980/9193800 (9%)] Step: 2.5K | Data (t): 0.284 Batch (t): 1.388, 2969.62/s, 1484.81/s/gpu Logit Scale: 17.278 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -2.8884 (-1.2602) Joint_loss: 4.8847 (3.2363) Cross_loss: 1.9963 (1.9761) Image_lambda_loss: 0.029576 (0.024516) Text_lambda_loss: 0.048710 (0.056795) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:23:14 | INFO | Train Epoch: 1 [1197980/9193800 (13%)] Step: 2.6K | Data (t): 0.260 Batch (t): 1.358, 2875.94/s, 1437.97/s/gpu Logit Scale: 17.438 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -2.6824 (-1.6158) Joint_loss: 4.7006 (3.6024) Cross_loss: 2.0182 (1.9866) Image_lambda_loss: 0.028482 (0.025508) Text_lambda_loss: 0.059743 (0.057532) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:25:30 | INFO | Train Epoch: 1 [1595980/9193800 (17%)] Step: 2.7K | Data (t): 0.257 Batch (t): 1.363, 2683.40/s, 1341.70/s/gpu Logit Scale: 17.610 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -2.4121 (-1.7750) Joint_loss: 4.4294 (3.7678) Cross_loss: 2.0172 (1.9927) Image_lambda_loss: 0.026985 (0.025803) Text_lambda_loss: 0.050636 (0.056153) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:27:46 | INFO | Train Epoch: 1 [1993980/9193800 (22%)] Step: 2.8K | Data (t): 0.254 Batch (t): 1.354, 3058.36/s, 1529.18/s/gpu Logit Scale: 17.777 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -2.6287 (-1.9173) Joint_loss: 4.6501 (3.9148) Cross_loss: 2.0214 (1.9975) Image_lambda_loss: 0.032408 (0.026904) Text_lambda_loss: 0.078878 (0.059940) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:30:02 | INFO | Train Epoch: 1 [2391980/9193800 (26%)] Step: 2.9K | Data (t): 0.251 Batch (t): 1.366, 2910.15/s, 1455.07/s/gpu Logit Scale: 17.949 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -3.6212 (-2.1607) Joint_loss: 5.6541 (4.1633) Cross_loss: 2.0329 (2.0026) Image_lambda_loss: 0.034076 (0.027929) Text_lambda_loss: 0.065798 (0.060777) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:32:16 | INFO | Train Epoch: 1 [2789980/9193800 (30%)] Step: 3.0K | Data (t): 0.252 Batch (t): 1.340, 2830.09/s, 1415.05/s/gpu Logit Scale: 18.125 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -3.1442 (-2.2837) Joint_loss: 5.1766 (4.2900) Cross_loss: 2.0324 (2.0063) Image_lambda_loss: 0.035242 (0.028843) Text_lambda_loss: 0.085799 (0.063905) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:34:31 | INFO | Train Epoch: 1 [3187980/9193800 (35%)] Step: 3.1K | Data (t): 0.253 Batch (t): 1.349, 3068.36/s, 1534.18/s/gpu Logit Scale: 18.303 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -2.9724 (-2.3602) Joint_loss: 4.9943 (4.3682) Cross_loss: 2.0219 (2.0080) Image_lambda_loss: 0.029702 (0.028938) Text_lambda_loss: 0.066670 (0.064212) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:36:46 | INFO | Train Epoch: 1 [3585980/9193800 (39%)] Step: 3.2K | Data (t): 0.251 Batch (t): 1.343, 2919.25/s, 1459.63/s/gpu Logit Scale: 18.483 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -3.4032 (-2.4645) Joint_loss: 5.4684 (4.4782) Cross_loss: 2.0652 (2.0137) Image_lambda_loss: 0.036867 (0.029731) Text_lambda_loss: 0.10695 (0.068486) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:39:01 | INFO | Train Epoch: 1 [3983980/9193800 (43%)] Step: 3.3K | Data (t): 0.248 Batch (t): 1.348, 2743.63/s, 1371.82/s/gpu Logit Scale: 18.666 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -3.5205 (-2.5605) Joint_loss: 5.5424 (4.5750) Cross_loss: 2.0219 (2.0145) Image_lambda_loss: 0.034258 (0.030143) Text_lambda_loss: 0.056751 (0.067420) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:41:17 | INFO | Train Epoch: 1 [4381980/9193800 (48%)] Step: 3.4K | Data (t): 0.266 Batch (t): 1.367, 2919.94/s, 1459.97/s/gpu Logit Scale: 18.852 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -3.3432 (-2.6257) Joint_loss: 5.3649 (4.6408) Cross_loss: 2.0217 (2.0151) Image_lambda_loss: 0.034153 (0.030477) Text_lambda_loss: 0.066988 (0.067384) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:43:32 | INFO | Train Epoch: 1 [4779980/9193800 (52%)] Step: 3.5K | Data (t): 0.252 Batch (t): 1.344, 2776.14/s, 1388.07/s/gpu Logit Scale: 19.039 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -4.2241 (-2.7487) Joint_loss: 6.2571 (4.7651) Cross_loss: 2.0330 (2.0165) Image_lambda_loss: 0.038097 (0.031063) Text_lambda_loss: 0.058265 (0.066682) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:45:46 | INFO | Train Epoch: 1 [5177980/9193800 (56%)] Step: 3.6K | Data (t): 0.259 Batch (t): 1.341, 2823.79/s, 1411.90/s/gpu Logit Scale: 19.226 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -3.5812 (-2.8081) Joint_loss: 5.6089 (4.8254) Cross_loss: 2.0277 (2.0173) Image_lambda_loss: 0.047531 (0.032239) Text_lambda_loss: 0.065772 (0.066617) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:48:01 | INFO | Train Epoch: 1 [5575980/9193800 (61%)] Step: 3.7K | Data (t): 0.254 Batch (t): 1.353, 3191.41/s, 1595.71/s/gpu Logit Scale: 19.416 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -3.6016 (-2.8610) Joint_loss: 5.6369 (4.8795) Cross_loss: 2.0353 (2.0185) Image_lambda_loss: 0.041458 (0.032854) Text_lambda_loss: 0.067451 (0.066673) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:50:16 | INFO | Train Epoch: 1 [5973980/9193800 (65%)] Step: 3.8K | Data (t): 0.256 Batch (t): 1.350, 3086.30/s, 1543.15/s/gpu Logit Scale: 19.610 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -4.0365 (-2.9345) Joint_loss: 6.0792 (4.9545) Cross_loss: 2.0427 (2.0200) Image_lambda_loss: 0.047756 (0.033785) Text_lambda_loss: 0.074796 (0.067181) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:52:34 | INFO | Train Epoch: 1 [6371980/9193800 (69%)] Step: 3.9K | Data (t): 0.276 Batch (t): 1.377, 2887.71/s, 1443.85/s/gpu Logit Scale: 19.806 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -3.6825 (-2.9785) Joint_loss: 5.7002 (4.9983) Cross_loss: 2.0177 (2.0199) Image_lambda_loss: 0.047626 (0.034599) Text_lambda_loss: 0.067469 (0.067198) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:54:50 | INFO | Train Epoch: 1 [6769980/9193800 (74%)] Step: 4.0K | Data (t): 0.262 Batch (t): 1.359, 2954.53/s, 1477.26/s/gpu Logit Scale: 20.003 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -4.1584 (-3.0440) Joint_loss: 6.1939 (5.0648) Cross_loss: 2.0356 (2.0207) Image_lambda_loss: 0.052577 (0.035598) Text_lambda_loss: 0.088554 (0.068384) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:57:04 | INFO | Train Epoch: 1 [7167980/9193800 (78%)] Step: 4.1K | Data (t): 0.252 Batch (t): 1.342, 2819.94/s, 1409.97/s/gpu Logit Scale: 20.202 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -4.0304 (-3.0960) Joint_loss: 6.0723 (5.1178) Cross_loss: 2.0419 (2.0218) Image_lambda_loss: 0.051244 (0.036422) Text_lambda_loss: 0.080684 (0.069031) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,13:59:22 | INFO | Train Epoch: 1 [7565980/9193800 (82%)] Step: 4.2K | Data (t): 0.270 Batch (t): 1.377, 2849.81/s, 1424.90/s/gpu Logit Scale: 20.403 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -3.7126 (-3.1268) Joint_loss: 5.7455 (5.1492) Cross_loss: 2.0329 (2.0224) Image_lambda_loss: 0.048755 (0.037038) Text_lambda_loss: 0.072029 (0.069181) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,14:01:39 | INFO | Train Epoch: 1 [7963980/9193800 (87%)] Step: 4.3K | Data (t): 0.278 Batch (t): 1.368, 3061.42/s, 1530.71/s/gpu Logit Scale: 20.607 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -4.0274 (-3.1697) Joint_loss: 6.0631 (5.1927) Cross_loss: 2.0357 (2.0230) Image_lambda_loss: 0.053597 (0.037827) Text_lambda_loss: 0.076011 (0.069506) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,14:03:53 | INFO | Train Epoch: 1 [8361980/9193800 (91%)] Step: 4.4K | Data (t): 0.229 Batch (t): 1.341, 2741.31/s, 1370.66/s/gpu Logit Scale: 20.809 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -4.5683 (-3.2333) Joint_loss: 6.5969 (5.2565) Cross_loss: 2.0285 (2.0233) Image_lambda_loss: 0.060016 (0.038835) Text_lambda_loss: 0.079701 (0.069970) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,14:06:09 | INFO | Train Epoch: 1 [8759980/9193800 (95%)] Step: 4.5K | Data (t): 0.265 Batch (t): 1.359, 3115.40/s, 1557.70/s/gpu Logit Scale: 21.015 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -4.4113 (-3.2845) Joint_loss: 6.4433 (5.3081) Cross_loss: 2.0320 (2.0237) Image_lambda_loss: 0.070517 (0.040213) Text_lambda_loss: 0.086504 (0.070689) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,14:08:25 | INFO | Train Epoch: 1 [9157980/9193800 (100%)] Step: 4.6K | Data (t): 0.266 Batch (t): 1.365, 3073.43/s, 1536.71/s/gpu Logit Scale: 21.224 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -4.2284 (-3.3238) Joint_loss: 6.2769 (5.3485) Cross_loss: 2.0484 (2.0247) Image_lambda_loss: 0.062865 (0.041157) Text_lambda_loss: 0.090417 (0.071511) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,14:08:37 | INFO | Train Epoch: 1 [9193800/9193800 (100%)] Step: 4.6K | Data (t): 0.230 Batch (t): 1.307, 3012.32/s, 1506.16/s/gpu Logit Scale: 21.243 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -4.7866 (-3.3823) Joint_loss: 6.7944 (5.4063) Cross_loss: 2.0078 (2.0240) Image_lambda_loss: 0.060272 (0.041921) Text_lambda_loss: 0.091927 (0.072327) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | | |
| 2025-01-24,14:08:37 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,14:08:37 | INFO | Building zero-shot classifier | |
| 2025-01-24,14:08:44 | INFO | Using classifier | |
| 2025-01-24,14:09:48 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,14:09:56 | INFO | Eval Epoch: 2 [1990 / 205824] Clip Loss: 3.721055 | |
| 2025-01-24,14:10:29 | INFO | Eval Epoch: 2 imagenet-zeroshot-val-top1: 0.0592 imagenet-zeroshot-val-top5: 0.1658 image_to_text_mean_rank: 188.4298 image_to_text_median_rank: 23.0000 image_to_text_R@1: 0.1390 image_to_text_R@5: 0.3053 image_to_text_R@10: 0.3900 text_to_image_mean_rank: 202.4791 text_to_image_median_rank: 23.0000 text_to_image_R@1: 0.1326 text_to_image_R@5: 0.2947 text_to_image_R@10: 0.3803 clip_val_loss: 3.6226 epoch: 2.0000 num_samples: 8678.0000 | |
| 2025-01-24,14:10:30 | INFO | Start epoch 2 | |
| 2025-01-24,14:10:40 | INFO | Train Epoch: 2 [ 3980/9193800 (0%)] Step: 4.6K | Data (t): 8.841 Batch (t): 9.944, 400.223/s, 200.112/s/gpu Logit Scale: 21.245 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -4.8951 (-4.8951) Joint_loss: 6.8438 (6.8438) Cross_loss: 1.9487 (1.9487) Image_lambda_loss: 0.068371 (0.068371) Text_lambda_loss: 0.086751 (0.086751) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:12:57 | INFO | Train Epoch: 2 [ 401980/9193800 (4%)] Step: 4.7K | Data (t): 0.233 Batch (t): 1.364, 3108.51/s, 1554.26/s/gpu Logit Scale: 21.442 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.7816 (-5.8384) Joint_loss: 8.7940 (7.8189) Cross_loss: 2.0124 (1.9805) Image_lambda_loss: 0.072634 (0.070502) Text_lambda_loss: 0.097440 (0.092095) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:15:14 | INFO | Train Epoch: 2 [ 799980/9193800 (9%)] Step: 4.8K | Data (t): 0.271 Batch (t): 1.368, 3080.26/s, 1540.13/s/gpu Logit Scale: 21.646 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.2375 (-5.9714) Joint_loss: 8.2559 (7.9646) Cross_loss: 2.0184 (1.9931) Image_lambda_loss: 0.090433 (0.077146) Text_lambda_loss: 0.11054 (0.098245) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:17:31 | INFO | Train Epoch: 2 [1197980/9193800 (13%)] Step: 4.9K | Data (t): 0.270 Batch (t): 1.376, 2961.58/s, 1480.79/s/gpu Logit Scale: 21.851 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.3260 (-6.0601) Joint_loss: 8.3117 (8.0514) Cross_loss: 1.9857 (1.9913) Image_lambda_loss: 0.071697 (0.075783) Text_lambda_loss: 0.092200 (0.096734) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:19:49 | INFO | Train Epoch: 2 [1595980/9193800 (17%)] Step: 5.0K | Data (t): 0.275 Batch (t): 1.381, 3082.24/s, 1541.12/s/gpu Logit Scale: 22.057 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.6931 (-6.1867) Joint_loss: 8.7246 (8.1860) Cross_loss: 2.0315 (1.9993) Image_lambda_loss: 0.085699 (0.077767) Text_lambda_loss: 0.10575 (0.098536) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:22:06 | INFO | Train Epoch: 2 [1993980/9193800 (22%)] Step: 5.1K | Data (t): 0.275 Batch (t): 1.369, 3077.20/s, 1538.60/s/gpu Logit Scale: 22.269 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.5385 (-6.2453) Joint_loss: 8.5497 (8.2466) Cross_loss: 2.0112 (2.0013) Image_lambda_loss: 0.081828 (0.078444) Text_lambda_loss: 0.10950 (0.10036) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:24:21 | INFO | Train Epoch: 2 [2391980/9193800 (26%)] Step: 5.2K | Data (t): 0.257 Batch (t): 1.353, 2912.04/s, 1456.02/s/gpu Logit Scale: 22.484 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.6093 (-6.2973) Joint_loss: 8.6257 (8.3008) Cross_loss: 2.0164 (2.0035) Image_lambda_loss: 0.086882 (0.079649) Text_lambda_loss: 0.11235 (0.10208) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:26:39 | INFO | Train Epoch: 2 [2789980/9193800 (30%)] Step: 5.3K | Data (t): 0.258 Batch (t): 1.378, 2962.45/s, 1481.22/s/gpu Logit Scale: 22.698 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.6481 (-6.3412) Joint_loss: 8.6635 (8.3461) Cross_loss: 2.0154 (2.0050) Image_lambda_loss: 0.093066 (0.081326) Text_lambda_loss: 0.11722 (0.10397) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:28:56 | INFO | Train Epoch: 2 [3187980/9193800 (35%)] Step: 5.4K | Data (t): 0.261 Batch (t): 1.371, 3104.78/s, 1552.39/s/gpu Logit Scale: 22.915 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.6516 (-6.3756) Joint_loss: 8.6576 (8.3807) Cross_loss: 2.0061 (2.0051) Image_lambda_loss: 0.086477 (0.081898) Text_lambda_loss: 0.11869 (0.10560) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:31:12 | INFO | Train Epoch: 2 [3585980/9193800 (39%)] Step: 5.5K | Data (t): 0.245 Batch (t): 1.360, 2729.79/s, 1364.89/s/gpu Logit Scale: 23.136 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.6569 (-6.4038) Joint_loss: 8.6804 (8.4107) Cross_loss: 2.0235 (2.0069) Image_lambda_loss: 0.090596 (0.082768) Text_lambda_loss: 0.11416 (0.10646) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:33:29 | INFO | Train Epoch: 2 [3983980/9193800 (43%)] Step: 5.6K | Data (t): 0.254 Batch (t): 1.363, 2551.71/s, 1275.85/s/gpu Logit Scale: 23.357 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.6993 (-6.4306) Joint_loss: 8.7200 (8.4388) Cross_loss: 2.0207 (2.0082) Image_lambda_loss: 0.10539 (0.084825) Text_lambda_loss: 0.11775 (0.10749) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:35:46 | INFO | Train Epoch: 2 [4381980/9193800 (48%)] Step: 5.7K | Data (t): 0.261 Batch (t): 1.374, 2855.67/s, 1427.84/s/gpu Logit Scale: 23.579 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.8886 (-6.4688) Joint_loss: 8.9164 (8.4786) Cross_loss: 2.0278 (2.0098) Image_lambda_loss: 0.10581 (0.086573) Text_lambda_loss: 0.12596 (0.10903) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:38:00 | INFO | Train Epoch: 2 [4779980/9193800 (52%)] Step: 5.8K | Data (t): 0.244 Batch (t): 1.343, 2910.02/s, 1455.01/s/gpu Logit Scale: 23.805 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.6110 (-6.4797) Joint_loss: 8.6131 (8.4890) Cross_loss: 2.0021 (2.0092) Image_lambda_loss: 0.096154 (0.087310) Text_lambda_loss: 0.13427 (0.11097) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:40:15 | INFO | Train Epoch: 2 [5177980/9193800 (56%)] Step: 5.9K | Data (t): 0.255 Batch (t): 1.350, 2855.80/s, 1427.90/s/gpu Logit Scale: 24.033 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.7984 (-6.5025) Joint_loss: 8.8064 (8.5116) Cross_loss: 2.0080 (2.0091) Image_lambda_loss: 0.10560 (0.088617) Text_lambda_loss: 0.13869 (0.11295) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:42:29 | INFO | Train Epoch: 2 [5575980/9193800 (61%)] Step: 6.0K | Data (t): 0.254 Batch (t): 1.337, 3071.49/s, 1535.74/s/gpu Logit Scale: 24.261 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.6021 (-6.5091) Joint_loss: 8.6313 (8.5196) Cross_loss: 2.0292 (2.0105) Image_lambda_loss: 0.10476 (0.089693) Text_lambda_loss: 0.12993 (0.11408) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:44:43 | INFO | Train Epoch: 2 [5973980/9193800 (65%)] Step: 6.1K | Data (t): 0.253 Batch (t): 1.339, 2824.77/s, 1412.39/s/gpu Logit Scale: 24.488 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.7225 (-6.5225) Joint_loss: 8.7535 (8.5342) Cross_loss: 2.0310 (2.0117) Image_lambda_loss: 0.10389 (0.090580) Text_lambda_loss: 0.14152 (0.11580) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:46:56 | INFO | Train Epoch: 2 [6371980/9193800 (69%)] Step: 6.2K | Data (t): 0.251 Batch (t): 1.331, 2933.73/s, 1466.86/s/gpu Logit Scale: 24.718 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.7590 (-6.5364) Joint_loss: 8.7686 (8.5480) Cross_loss: 2.0096 (2.0116) Image_lambda_loss: 0.11316 (0.091909) Text_lambda_loss: 0.12626 (0.11641) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:49:10 | INFO | Train Epoch: 2 [6769980/9193800 (74%)] Step: 6.3K | Data (t): 0.254 Batch (t): 1.338, 3313.33/s, 1656.66/s/gpu Logit Scale: 24.951 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.7363 (-6.5475) Joint_loss: 8.7749 (8.5606) Cross_loss: 2.0386 (2.0131) Image_lambda_loss: 0.12060 (0.093503) Text_lambda_loss: 0.15715 (0.11867) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:51:25 | INFO | Train Epoch: 2 [7167980/9193800 (78%)] Step: 6.4K | Data (t): 0.258 Batch (t): 1.350, 2952.23/s, 1476.12/s/gpu Logit Scale: 25.177 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.8902 (-6.5655) Joint_loss: 8.9009 (8.5785) Cross_loss: 2.0107 (2.0130) Image_lambda_loss: 0.11187 (0.094469) Text_lambda_loss: 0.13635 (0.11960) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:53:39 | INFO | Train Epoch: 2 [7565980/9193800 (82%)] Step: 6.5K | Data (t): 0.258 Batch (t): 1.338, 2980.70/s, 1490.35/s/gpu Logit Scale: 25.409 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.5456 (-6.5645) Joint_loss: 8.5520 (8.5772) Cross_loss: 2.0064 (2.0127) Image_lambda_loss: 0.12245 (0.095868) Text_lambda_loss: 0.14585 (0.12092) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:55:54 | INFO | Train Epoch: 2 [7963980/9193800 (87%)] Step: 6.6K | Data (t): 0.254 Batch (t): 1.353, 3038.47/s, 1519.23/s/gpu Logit Scale: 25.643 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.7488 (-6.5733) Joint_loss: 8.7820 (8.5870) Cross_loss: 2.0332 (2.0136) Image_lambda_loss: 0.13470 (0.097717) Text_lambda_loss: 0.15121 (0.12236) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,14:58:08 | INFO | Train Epoch: 2 [8361980/9193800 (91%)] Step: 6.7K | Data (t): 0.231 Batch (t): 1.336, 2998.37/s, 1499.19/s/gpu Logit Scale: 25.891 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -7.1631 (-6.6001) Joint_loss: 9.1644 (8.6132) Cross_loss: 2.0012 (2.0131) Image_lambda_loss: 0.13022 (0.099195) Text_lambda_loss: 0.14197 (0.12325) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,15:00:23 | INFO | Train Epoch: 2 [8759980/9193800 (95%)] Step: 6.8K | Data (t): 0.256 Batch (t): 1.357, 2880.77/s, 1440.38/s/gpu Logit Scale: 26.133 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -7.1108 (-6.6223) Joint_loss: 9.1355 (8.6359) Cross_loss: 2.0247 (2.0136) Image_lambda_loss: 0.14387 (0.10114) Text_lambda_loss: 0.17158 (0.12535) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,15:02:40 | INFO | Train Epoch: 2 [9157980/9193800 (100%)] Step: 6.9K | Data (t): 0.258 Batch (t): 1.369, 2986.79/s, 1493.40/s/gpu Logit Scale: 26.372 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -7.1234 (-6.6432) Joint_loss: 9.1705 (8.6582) Cross_loss: 2.0471 (2.0150) Image_lambda_loss: 0.16441 (0.10377) Text_lambda_loss: 0.18138 (0.12769) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,15:02:52 | INFO | Train Epoch: 2 [9193800/9193800 (100%)] Step: 6.9K | Data (t): 0.237 Batch (t): 1.335, 2810.09/s, 1405.05/s/gpu Logit Scale: 26.394 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -7.7020 (-6.6856) Joint_loss: 9.7337 (8.7012) Cross_loss: 2.0316 (2.0156) Image_lambda_loss: 0.15062 (0.10565) Text_lambda_loss: 0.19022 (0.13019) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | | |
| 2025-01-24,15:02:52 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,15:02:52 | INFO | Building zero-shot classifier | |
| 2025-01-24,15:02:59 | INFO | Using classifier | |
| 2025-01-24,15:04:00 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,15:04:08 | INFO | Eval Epoch: 3 [1990 / 205824] Clip Loss: 2.972637 | |
| 2025-01-24,15:04:41 | INFO | Eval Epoch: 3 imagenet-zeroshot-val-top1: 0.1036 imagenet-zeroshot-val-top5: 0.2532 image_to_text_mean_rank: 100.2465 image_to_text_median_rank: 9.0000 image_to_text_R@1: 0.2260 image_to_text_R@5: 0.4302 image_to_text_R@10: 0.5281 text_to_image_mean_rank: 112.6882 text_to_image_median_rank: 9.0000 text_to_image_R@1: 0.2156 text_to_image_R@5: 0.4192 text_to_image_R@10: 0.5211 clip_val_loss: 2.8557 epoch: 3.0000 num_samples: 8678.0000 | |
| 2025-01-24,15:04:43 | INFO | Start epoch 3 | |
| 2025-01-24,15:04:53 | INFO | Train Epoch: 3 [ 3980/9193800 (0%)] Step: 6.9K | Data (t): 8.888 Batch (t): 9.945, 400.195/s, 200.098/s/gpu Logit Scale: 26.396 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -7.4754 (-7.4754) Joint_loss: 9.3773 (9.3773) Cross_loss: 1.9019 (1.9019) Image_lambda_loss: 0.13185 (0.13185) Text_lambda_loss: 0.16796 (0.16796) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:07:09 | INFO | Train Epoch: 3 [ 401980/9193800 (4%)] Step: 7.0K | Data (t): 0.227 Batch (t): 1.358, 3012.01/s, 1506.00/s/gpu Logit Scale: 26.627 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.5594 (-8.0174) Joint_loss: 10.578 (9.9776) Cross_loss: 2.0185 (1.9602) Image_lambda_loss: 0.15941 (0.14563) Text_lambda_loss: 0.17297 (0.17046) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:09:25 | INFO | Train Epoch: 3 [ 799980/9193800 (9%)] Step: 7.1K | Data (t): 0.254 Batch (t): 1.365, 2883.45/s, 1441.73/s/gpu Logit Scale: 26.851 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.8182 (-8.2843) Joint_loss: 10.822 (10.259) Cross_loss: 2.0036 (1.9747) Image_lambda_loss: 0.18350 (0.15825) Text_lambda_loss: 0.18885 (0.17659) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:11:40 | INFO | Train Epoch: 3 [1197980/9193800 (13%)] Step: 7.2K | Data (t): 0.250 Batch (t): 1.349, 2864.15/s, 1432.07/s/gpu Logit Scale: 27.068 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.4715 (-8.3311) Joint_loss: 10.498 (10.319) Cross_loss: 2.0261 (1.9875) Image_lambda_loss: 0.16085 (0.15890) Text_lambda_loss: 0.18163 (0.17785) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:13:55 | INFO | Train Epoch: 3 [1595980/9193800 (17%)] Step: 7.3K | Data (t): 0.251 Batch (t): 1.351, 2946.30/s, 1473.15/s/gpu Logit Scale: 27.283 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.2589 (-8.3167) Joint_loss: 10.277 (10.310) Cross_loss: 2.0185 (1.9937) Image_lambda_loss: 0.17237 (0.16160) Text_lambda_loss: 0.19719 (0.18172) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:16:10 | INFO | Train Epoch: 3 [1993980/9193800 (22%)] Step: 7.4K | Data (t): 0.258 Batch (t): 1.349, 2672.48/s, 1336.24/s/gpu Logit Scale: 27.490 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.2633 (-8.3078) Joint_loss: 10.272 (10.304) Cross_loss: 2.0084 (1.9961) Image_lambda_loss: 0.15460 (0.16043) Text_lambda_loss: 0.19788 (0.18441) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:18:24 | INFO | Train Epoch: 3 [2391980/9193800 (26%)] Step: 7.5K | Data (t): 0.248 Batch (t): 1.335, 2779.96/s, 1389.98/s/gpu Logit Scale: 27.705 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -7.9499 (-8.2567) Joint_loss: 9.9646 (10.255) Cross_loss: 2.0148 (1.9988) Image_lambda_loss: 0.17177 (0.16205) Text_lambda_loss: 0.19249 (0.18557) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:20:36 | INFO | Train Epoch: 3 [2789980/9193800 (30%)] Step: 7.6K | Data (t): 0.239 Batch (t): 1.323, 3008.30/s, 1504.15/s/gpu Logit Scale: 27.919 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.1737 (-8.2463) Joint_loss: 10.186 (10.247) Cross_loss: 2.0127 (2.0005) Image_lambda_loss: 0.17796 (0.16404) Text_lambda_loss: 0.20362 (0.18782) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:22:48 | INFO | Train Epoch: 3 [3187980/9193800 (35%)] Step: 7.7K | Data (t): 0.238 Batch (t): 1.325, 2954.46/s, 1477.23/s/gpu Logit Scale: 28.119 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.3136 (-8.2538) Joint_loss: 10.371 (10.261) Cross_loss: 2.0571 (2.0068) Image_lambda_loss: 0.21227 (0.16940) Text_lambda_loss: 0.21059 (0.19035) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:25:01 | INFO | Train Epoch: 3 [3585980/9193800 (39%)] Step: 7.8K | Data (t): 0.240 Batch (t): 1.328, 2770.69/s, 1385.34/s/gpu Logit Scale: 28.315 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.6760 (-8.2960) Joint_loss: 10.700 (10.305) Cross_loss: 2.0242 (2.0086) Image_lambda_loss: 0.15923 (0.16838) Text_lambda_loss: 0.21029 (0.19235) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:27:14 | INFO | Train Epoch: 3 [3983980/9193800 (43%)] Step: 7.9K | Data (t): 0.235 Batch (t): 1.327, 3038.00/s, 1519.00/s/gpu Logit Scale: 28.514 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.4787 (-8.3126) Joint_loss: 10.480 (10.321) Cross_loss: 2.0017 (2.0079) Image_lambda_loss: 0.16542 (0.16811) Text_lambda_loss: 0.19802 (0.19286) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:29:26 | INFO | Train Epoch: 3 [4381980/9193800 (48%)] Step: 8.0K | Data (t): 0.229 Batch (t): 1.324, 3105.93/s, 1552.96/s/gpu Logit Scale: 28.722 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.4095 (-8.3207) Joint_loss: 10.446 (10.331) Cross_loss: 2.0365 (2.0103) Image_lambda_loss: 0.19613 (0.17045) Text_lambda_loss: 0.23797 (0.19662) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:31:40 | INFO | Train Epoch: 3 [4779980/9193800 (52%)] Step: 8.1K | Data (t): 0.243 Batch (t): 1.340, 2798.98/s, 1399.49/s/gpu Logit Scale: 28.930 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.4901 (-8.3337) Joint_loss: 10.502 (10.344) Cross_loss: 2.0122 (2.0105) Image_lambda_loss: 0.18137 (0.17129) Text_lambda_loss: 0.21184 (0.19779) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:33:53 | INFO | Train Epoch: 3 [5177980/9193800 (56%)] Step: 8.2K | Data (t): 0.235 Batch (t): 1.333, 3132.63/s, 1566.32/s/gpu Logit Scale: 29.116 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.2649 (-8.3288) Joint_loss: 10.278 (10.339) Cross_loss: 2.0134 (2.0107) Image_lambda_loss: 0.20209 (0.17349) Text_lambda_loss: 0.22244 (0.19955) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:36:06 | INFO | Train Epoch: 3 [5575980/9193800 (61%)] Step: 8.3K | Data (t): 0.237 Batch (t): 1.326, 2851.45/s, 1425.73/s/gpu Logit Scale: 29.305 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.3888 (-8.3328) Joint_loss: 10.399 (10.343) Cross_loss: 2.0097 (2.0106) Image_lambda_loss: 0.19011 (0.17460) Text_lambda_loss: 0.22649 (0.20135) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:38:19 | INFO | Train Epoch: 3 [5973980/9193800 (65%)] Step: 8.4K | Data (t): 0.241 Batch (t): 1.333, 2852.44/s, 1426.22/s/gpu Logit Scale: 29.488 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.3113 (-8.3314) Joint_loss: 10.291 (10.340) Cross_loss: 1.9794 (2.0087) Image_lambda_loss: 0.19694 (0.17599) Text_lambda_loss: 0.24832 (0.20428) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:40:34 | INFO | Train Epoch: 3 [6371980/9193800 (69%)] Step: 8.5K | Data (t): 0.246 Batch (t): 1.349, 2569.75/s, 1284.88/s/gpu Logit Scale: 29.643 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.5844 (-8.3463) Joint_loss: 10.572 (10.354) Cross_loss: 1.9879 (2.0074) Image_lambda_loss: 0.19299 (0.17699) Text_lambda_loss: 0.22679 (0.20561) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:42:48 | INFO | Train Epoch: 3 [6769980/9193800 (74%)] Step: 8.6K | Data (t): 0.246 Batch (t): 1.338, 2871.29/s, 1435.65/s/gpu Logit Scale: 29.792 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.7601 (-8.3693) Joint_loss: 10.777 (10.377) Cross_loss: 2.0167 (2.0080) Image_lambda_loss: 0.19171 (0.17781) Text_lambda_loss: 0.20797 (0.20574) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:45:01 | INFO | Train Epoch: 3 [7167980/9193800 (78%)] Step: 8.7K | Data (t): 0.240 Batch (t): 1.328, 2655.96/s, 1327.98/s/gpu Logit Scale: 29.904 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.5627 (-8.3795) Joint_loss: 10.537 (10.386) Cross_loss: 1.9746 (2.0062) Image_lambda_loss: 0.18122 (0.17799) Text_lambda_loss: 0.22563 (0.20679) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:47:14 | INFO | Train Epoch: 3 [7565980/9193800 (82%)] Step: 8.8K | Data (t): 0.245 Batch (t): 1.327, 2980.58/s, 1490.29/s/gpu Logit Scale: 30.048 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.4714 (-8.3841) Joint_loss: 10.496 (10.391) Cross_loss: 2.0244 (2.0071) Image_lambda_loss: 0.20345 (0.17926) Text_lambda_loss: 0.24395 (0.20864) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:49:27 | INFO | Train Epoch: 3 [7963980/9193800 (87%)] Step: 8.9K | Data (t): 0.240 Batch (t): 1.334, 3011.34/s, 1505.67/s/gpu Logit Scale: 30.184 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.4559 (-8.3875) Joint_loss: 10.415 (10.392) Cross_loss: 1.9587 (2.0048) Image_lambda_loss: 0.20938 (0.18070) Text_lambda_loss: 0.24100 (0.21018) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:51:39 | INFO | Train Epoch: 3 [8361980/9193800 (91%)] Step: 9.0K | Data (t): 0.229 Batch (t): 1.318, 2939.40/s, 1469.70/s/gpu Logit Scale: 30.365 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.2179 (-8.4253) Joint_loss: 11.311 (10.434) Cross_loss: 2.0935 (2.0088) Image_lambda_loss: 0.26121 (0.18436) Text_lambda_loss: 0.28579 (0.21362) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:53:52 | INFO | Train Epoch: 3 [8759980/9193800 (95%)] Step: 9.1K | Data (t): 0.236 Batch (t): 1.332, 3153.90/s, 1576.95/s/gpu Logit Scale: 30.525 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.5591 (-8.4311) Joint_loss: 10.552 (10.439) Cross_loss: 1.9930 (2.0082) Image_lambda_loss: 0.22778 (0.18624) Text_lambda_loss: 0.25899 (0.21559) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:56:06 | INFO | Train Epoch: 3 [9157980/9193800 (100%)] Step: 9.2K | Data (t): 0.242 Batch (t): 1.344, 2790.85/s, 1395.43/s/gpu Logit Scale: 30.684 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.9146 (-8.4512) Joint_loss: 10.891 (10.458) Cross_loss: 1.9767 (2.0068) Image_lambda_loss: 0.21966 (0.18764) Text_lambda_loss: 0.26169 (0.21751) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:56:18 | INFO | Train Epoch: 3 [9193800/9193800 (100%)] Step: 9.2K | Data (t): 0.252 Batch (t): 1.333, 3167.19/s, 1583.60/s/gpu Logit Scale: 30.700 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.9227 (-8.4701) Joint_loss: 10.957 (10.478) Cross_loss: 2.0345 (2.0079) Image_lambda_loss: 0.23100 (0.18937) Text_lambda_loss: 0.28152 (0.22008) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | | |
| 2025-01-24,15:56:18 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,15:56:18 | INFO | Building zero-shot classifier | |
| 2025-01-24,15:56:25 | INFO | Using classifier | |
| 2025-01-24,15:57:28 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,15:57:36 | INFO | Eval Epoch: 4 [1990 / 205824] Clip Loss: 2.535982 | |
| 2025-01-24,15:58:09 | INFO | Eval Epoch: 4 imagenet-zeroshot-val-top1: 0.1297 imagenet-zeroshot-val-top5: 0.3027 image_to_text_mean_rank: 72.6105 image_to_text_median_rank: 5.0000 image_to_text_R@1: 0.2798 image_to_text_R@5: 0.5046 image_to_text_R@10: 0.6023 text_to_image_mean_rank: 86.5229 text_to_image_median_rank: 5.0000 text_to_image_R@1: 0.2681 text_to_image_R@5: 0.5032 text_to_image_R@10: 0.5994 clip_val_loss: 2.4343 epoch: 4.0000 num_samples: 8678.0000 | |
| 2025-01-24,15:58:11 | INFO | Start epoch 4 | |
| 2025-01-24,15:58:21 | INFO | Train Epoch: 4 [ 3980/9193800 (0%)] Step: 9.2K | Data (t): 8.994 Batch (t): 10.103, 393.924/s, 196.962/s/gpu Logit Scale: 30.701 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.4036 (-9.4036) Joint_loss: 11.303 (11.303) Cross_loss: 1.8989 (1.8989) Image_lambda_loss: 0.22366 (0.22366) Text_lambda_loss: 0.27494 (0.27494) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:00:33 | INFO | Train Epoch: 4 [ 401980/9193800 (4%)] Step: 9.3K | Data (t): 0.209 Batch (t): 1.327, 3149.48/s, 1574.74/s/gpu Logit Scale: 30.882 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.145 (-9.7742) Joint_loss: 12.158 (11.730) Cross_loss: 2.0131 (1.9560) Image_lambda_loss: 0.26185 (0.24275) Text_lambda_loss: 0.26230 (0.26862) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:02:47 | INFO | Train Epoch: 4 [ 799980/9193800 (9%)] Step: 9.4K | Data (t): 0.252 Batch (t): 1.340, 3143.81/s, 1571.91/s/gpu Logit Scale: 31.046 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.8332 (-9.7939) Joint_loss: 11.806 (11.756) Cross_loss: 1.9731 (1.9617) Image_lambda_loss: 0.24963 (0.24504) Text_lambda_loss: 0.28367 (0.27363) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:05:01 | INFO | Train Epoch: 4 [1197980/9193800 (13%)] Step: 9.5K | Data (t): 0.241 Batch (t): 1.330, 2666.42/s, 1333.21/s/gpu Logit Scale: 31.157 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.6971 (-9.7697) Joint_loss: 11.717 (11.746) Cross_loss: 2.0198 (1.9762) Image_lambda_loss: 0.25414 (0.24732) Text_lambda_loss: 0.28442 (0.27633) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:07:15 | INFO | Train Epoch: 4 [1595980/9193800 (17%)] Step: 9.6K | Data (t): 0.246 Batch (t): 1.344, 2814.80/s, 1407.40/s/gpu Logit Scale: 31.281 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.8317 (-9.7821) Joint_loss: 11.886 (11.774) Cross_loss: 2.0544 (1.9919) Image_lambda_loss: 0.24944 (0.24774) Text_lambda_loss: 0.28404 (0.27787) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:09:28 | INFO | Train Epoch: 4 [1993980/9193800 (22%)] Step: 9.7K | Data (t): 0.242 Batch (t): 1.331, 3261.05/s, 1630.52/s/gpu Logit Scale: 31.374 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.5287 (-9.7398) Joint_loss: 11.502 (11.729) Cross_loss: 1.9733 (1.9888) Image_lambda_loss: 0.22673 (0.24424) Text_lambda_loss: 0.26288 (0.27537) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:11:41 | INFO | Train Epoch: 4 [2391980/9193800 (26%)] Step: 9.8K | Data (t): 0.239 Batch (t): 1.328, 2951.70/s, 1475.85/s/gpu Logit Scale: 31.486 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.6722 (-9.7302) Joint_loss: 11.685 (11.722) Cross_loss: 2.0124 (1.9921) Image_lambda_loss: 0.22973 (0.24217) Text_lambda_loss: 0.28833 (0.27723) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:13:55 | INFO | Train Epoch: 4 [2789980/9193800 (30%)] Step: 9.9K | Data (t): 0.242 Batch (t): 1.342, 2749.17/s, 1374.59/s/gpu Logit Scale: 31.585 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.5389 (-9.7063) Joint_loss: 11.576 (11.704) Cross_loss: 2.0366 (1.9977) Image_lambda_loss: 0.24276 (0.24224) Text_lambda_loss: 0.27062 (0.27640) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:16:08 | INFO | Train Epoch: 4 [3187980/9193800 (35%)] Step: 10.0K | Data (t): 0.249 Batch (t): 1.331, 3096.82/s, 1548.41/s/gpu Logit Scale: 31.676 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.6799 (-9.7033) Joint_loss: 11.697 (11.703) Cross_loss: 2.0174 (1.9999) Image_lambda_loss: 0.24790 (0.24287) Text_lambda_loss: 0.26823 (0.27549) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:18:21 | INFO | Train Epoch: 4 [3585980/9193800 (39%)] Step: 10.1K | Data (t): 0.244 Batch (t): 1.326, 2746.98/s, 1373.49/s/gpu Logit Scale: 31.763 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.7611 (-9.7091) Joint_loss: 11.759 (11.709) Cross_loss: 1.9976 (1.9997) Image_lambda_loss: 0.23823 (0.24241) Text_lambda_loss: 0.28449 (0.27639) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:20:35 | INFO | Train Epoch: 4 [3983980/9193800 (43%)] Step: 10.2K | Data (t): 0.249 Batch (t): 1.340, 2928.50/s, 1464.25/s/gpu Logit Scale: 31.837 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.6408 (-9.7029) Joint_loss: 11.610 (11.700) Cross_loss: 1.9696 (1.9969) Image_lambda_loss: 0.21437 (0.23986) Text_lambda_loss: 0.26589 (0.27544) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:22:49 | INFO | Train Epoch: 4 [4381980/9193800 (48%)] Step: 10.3K | Data (t): 0.244 Batch (t): 1.339, 3071.73/s, 1535.87/s/gpu Logit Scale: 31.924 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.089 (-9.7351) Joint_loss: 12.156 (11.738) Cross_loss: 2.0665 (2.0027) Image_lambda_loss: 0.25433 (0.24106) Text_lambda_loss: 0.28460 (0.27620) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:25:02 | INFO | Train Epoch: 4 [4779980/9193800 (52%)] Step: 10.4K | Data (t): 0.248 Batch (t): 1.336, 3003.73/s, 1501.86/s/gpu Logit Scale: 32.014 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.9823 (-9.7541) Joint_loss: 11.985 (11.757) Cross_loss: 2.0025 (2.0027) Image_lambda_loss: 0.26527 (0.24293) Text_lambda_loss: 0.30381 (0.27832) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:27:14 | INFO | Train Epoch: 4 [5177980/9193800 (56%)] Step: 10.5K | Data (t): 0.234 Batch (t): 1.320, 3140.39/s, 1570.19/s/gpu Logit Scale: 32.098 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.9088 (-9.7652) Joint_loss: 11.922 (11.769) Cross_loss: 2.0131 (2.0035) Image_lambda_loss: 0.25541 (0.24382) Text_lambda_loss: 0.27850 (0.27834) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:29:28 | INFO | Train Epoch: 4 [5575980/9193800 (61%)] Step: 10.6K | Data (t): 0.241 Batch (t): 1.338, 3003.94/s, 1501.97/s/gpu Logit Scale: 32.186 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.6748 (-9.7591) Joint_loss: 11.698 (11.764) Cross_loss: 2.0230 (2.0048) Image_lambda_loss: 0.27331 (0.24578) Text_lambda_loss: 0.29312 (0.27932) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:31:40 | INFO | Train Epoch: 4 [5973980/9193800 (65%)] Step: 10.7K | Data (t): 0.240 Batch (t): 1.324, 2993.91/s, 1496.95/s/gpu Logit Scale: 32.255 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.6645 (-9.7532) Joint_loss: 11.658 (11.757) Cross_loss: 1.9934 (2.0040) Image_lambda_loss: 0.26545 (0.24701) Text_lambda_loss: 0.28572 (0.27972) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:33:54 | INFO | Train Epoch: 4 [6371980/9193800 (69%)] Step: 10.8K | Data (t): 0.238 Batch (t): 1.330, 2718.67/s, 1359.34/s/gpu Logit Scale: 32.335 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.9485 (-9.7647) Joint_loss: 12.023 (11.773) Cross_loss: 2.0747 (2.0082) Image_lambda_loss: 0.27262 (0.24852) Text_lambda_loss: 0.29486 (0.28061) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:36:07 | INFO | Train Epoch: 4 [6769980/9193800 (74%)] Step: 10.9K | Data (t): 0.241 Batch (t): 1.337, 2796.81/s, 1398.40/s/gpu Logit Scale: 32.404 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.6801 (-9.7600) Joint_loss: 11.690 (11.768) Cross_loss: 2.0099 (2.0083) Image_lambda_loss: 0.26087 (0.24921) Text_lambda_loss: 0.30773 (0.28212) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:38:19 | INFO | Train Epoch: 4 [7167980/9193800 (78%)] Step: 11.0K | Data (t): 0.225 Batch (t): 1.320, 2873.67/s, 1436.84/s/gpu Logit Scale: 32.490 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.8086 (-9.7626) Joint_loss: 11.800 (11.770) Cross_loss: 1.9916 (2.0074) Image_lambda_loss: 0.24294 (0.24888) Text_lambda_loss: 0.26892 (0.28142) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:40:33 | INFO | Train Epoch: 4 [7565980/9193800 (82%)] Step: 11.1K | Data (t): 0.247 Batch (t): 1.336, 2804.77/s, 1402.39/s/gpu Logit Scale: 32.577 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.368 (-9.7928) Joint_loss: 12.434 (11.803) Cross_loss: 2.0661 (2.0103) Image_lambda_loss: 0.26028 (0.24945) Text_lambda_loss: 0.32165 (0.28344) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:42:47 | INFO | Train Epoch: 4 [7963980/9193800 (87%)] Step: 11.2K | Data (t): 0.255 Batch (t): 1.341, 2810.53/s, 1405.27/s/gpu Logit Scale: 32.653 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.7894 (-9.7927) Joint_loss: 11.817 (11.804) Cross_loss: 2.0280 (2.0112) Image_lambda_loss: 0.24604 (0.24928) Text_lambda_loss: 0.30136 (0.28429) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |
| 2025-01-24,16:44:56 | INFO | Train Epoch: 4 [8361980/9193800 (91%)] Step: 11.3K | Data (t): 0.178 Batch (t): 1.296, 2803.78/s, 1401.89/s/gpu Logit Scale: 32.780 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.166 (-9.8096) Joint_loss: 12.167 (11.820) Cross_loss: 2.0013 (2.0107) Image_lambda_loss: 0.28417 (0.25087) Text_lambda_loss: 0.31586 (0.28572) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | | |