diff --git "a/out.log" "b/out.log" --- "a/out.log" +++ "b/out.log" @@ -1,8 +1,8 @@ -2025-01-24,03:23:12 | INFO | Running in distributed mode with multiple processes. Device: cuda:0.Process (global: 0, local 0), total 2. -2025-01-24,03:23:12 | INFO | Initializing logit scale based on loss type. -2025-01-24,03:23:12 | INFO | Loaded ViT-B-32 model config. -2025-01-24,03:23:13 | INFO | Model: -2025-01-24,03:23:13 | INFO | CLIP( +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() @@ -48,622 +48,289 @@ (token_embedding): Embedding(49408, 512) (ln_final): LayerNorm((512,), eps=1e-05, elementwise_affine=True) ) -2025-01-24,03:23:13 | INFO | Params: -2025-01-24,03:23:13 | INFO | accum_freq: 1 -2025-01-24,03:23:13 | INFO | added_positive_type: sample -2025-01-24,03:23:13 | INFO | aug_cfg: {} -2025-01-24,03:23:13 | INFO | batch_size: 1990 -2025-01-24,03:23:13 | INFO | beta1: 0.9 -2025-01-24,03:23:13 | INFO | beta2: 0.98 -2025-01-24,03:23:13 | INFO | beta_decay_epochs: 16 -2025-01-24,03:23:13 | INFO | cache_dir: None -2025-01-24,03:23:13 | INFO | calculate_full: True -2025-01-24,03:23:13 | INFO | checkpoint_path: ./logs/emn_fix-bias-10.0sample-negFalse-scaleFalse-pos1.0-eps1e-06-stocFalselr0.0004-ViT-B-32-1990_0124032307/checkpoints -2025-01-24,03:23:13 | INFO | coca_caption_loss_weight: 2.0 -2025-01-24,03:23:13 | INFO | coca_contrastive_loss_weight: 1.0 -2025-01-24,03:23:13 | INFO | contrast_neg_only: False -2025-01-24,03:23:13 | INFO | copy_codebase: False -2025-01-24,03:23:13 | INFO | csv_caption_key: title -2025-01-24,03:23:13 | INFO | csv_img_key: filepath -2025-01-24,03:23:13 | INFO | csv_separator: -2025-01-24,03:23:13 | INFO | dataset_resampled: False -2025-01-24,03:23:13 | INFO | dataset_type: webdataset -2025-01-24,03:23:13 | INFO | ddp_static_graph: False -2025-01-24,03:23:13 | INFO | debug: False -2025-01-24,03:23:13 | INFO | delete_previous_checkpoint: False -2025-01-24,03:23:13 | INFO | denormalize_features: False -2025-01-24,03:23:13 | INFO | device: cuda:0 -2025-01-24,03:23:13 | INFO | dist_backend: None -2025-01-24,03:23:13 | INFO | dist_url: None -2025-01-24,03:23:13 | INFO | distill: False -2025-01-24,03:23:13 | INFO | distill_model: None -2025-01-24,03:23:13 | INFO | distill_pretrained: None -2025-01-24,03:23:13 | INFO | distributed: True -2025-01-24,03:23:13 | INFO | ema_z_mode: ema_n_sample -2025-01-24,03:23:13 | INFO | epochs: 33 -2025-01-24,03:23:13 | INFO | epochs_cooldown: None -2025-01-24,03:23:13 | INFO | eps: 1e-06 -2025-01-24,03:23:13 | INFO | fit_neg_only: True -2025-01-24,03:23:13 | INFO | fit_w_prev: False -2025-01-24,03:23:13 | INFO | force_custom_text: False -2025-01-24,03:23:13 | INFO | force_image_size: None -2025-01-24,03:23:13 | INFO | force_patch_dropout: None -2025-01-24,03:23:13 | INFO | force_quick_gelu: False -2025-01-24,03:23:13 | INFO | freeze_lambda_after_num_epochs: 100 -2025-01-24,03:23:13 | INFO | gather_with_grad: True -2025-01-24,03:23:13 | INFO | grad_checkpointing: False -2025-01-24,03:23:13 | INFO | grad_clip_norm: 1.0 -2025-01-24,03:23:13 | INFO | h_dim_factor: 4 -2025-01-24,03:23:13 | INFO | horovod: False -2025-01-24,03:23:13 | INFO | image_interpolation: None -2025-01-24,03:23:13 | INFO | image_mean: None -2025-01-24,03:23:13 | INFO | image_resize_mode: None -2025-01-24,03:23:13 | INFO | image_std: None -2025-01-24,03:23:13 | INFO | imagenet_v2: None -2025-01-24,03:23:13 | INFO | imagenet_val: /scratch/imagenet/val/ -2025-01-24,03:23:13 | INFO | init_lambda: 1.0 -2025-01-24,03:23:13 | INFO | init_logit_bias: -10.0 -2025-01-24,03:23:13 | INFO | init_logit_scale: None -2025-01-24,03:23:13 | INFO | lambda_eps: 1e-12 -2025-01-24,03:23:13 | INFO | lambda_lr: 0.001 -2025-01-24,03:23:13 | INFO | lambda_tolerance: 0.0005 -2025-01-24,03:23:13 | INFO | lambda_update_frequency: [20, 10, 1] -2025-01-24,03:23:13 | INFO | learn_logit_bias: False -2025-01-24,03:23:13 | INFO | learn_logit_scale: True -2025-01-24,03:23:13 | INFO | local_loss: True -2025-01-24,03:23:13 | INFO | local_rank: 0 -2025-01-24,03:23:13 | INFO | lock_image: False -2025-01-24,03:23:13 | INFO | lock_image_freeze_bn_stats: False -2025-01-24,03:23:13 | INFO | lock_image_unlocked_groups: 0 -2025-01-24,03:23:13 | INFO | lock_text: False -2025-01-24,03:23:13 | INFO | lock_text_freeze_layer_norm: False -2025-01-24,03:23:13 | INFO | lock_text_unlocked_layers: 0 -2025-01-24,03:23:13 | INFO | log_every_n_steps: 100 -2025-01-24,03:23:13 | INFO | log_level: 20 -2025-01-24,03:23:13 | INFO | log_local: False -2025-01-24,03:23:13 | INFO | log_path: ./logs/emn_fix-bias-10.0sample-negFalse-scaleFalse-pos1.0-eps1e-06-stocFalselr0.0004-ViT-B-32-1990_0124032307/out.log -2025-01-24,03:23:13 | INFO | logit_scale_clamp: 100 -2025-01-24,03:23:13 | INFO | logs: ./logs/ -2025-01-24,03:23:13 | INFO | loss_type: COND_EXP -2025-01-24,03:23:13 | INFO | lr: 0.0004 -2025-01-24,03:23:13 | INFO | lr_cooldown_end: 0.0 -2025-01-24,03:23:13 | INFO | lr_cooldown_power: 1.0 -2025-01-24,03:23:13 | INFO | lr_scheduler: cosine -2025-01-24,03:23:13 | INFO | lr_tau: 0.0001 -2025-01-24,03:23:13 | INFO | model: ViT-B-32 -2025-01-24,03:23:13 | INFO | model_beta_init: 0.0 -2025-01-24,03:23:13 | INFO | model_ema_beta: 0.99 -2025-01-24,03:23:13 | INFO | model_update_type: ONE_STEP -2025-01-24,03:23:13 | INFO | n_class_tokens: -1 -2025-01-24,03:23:13 | INFO | name: emn_fix-bias-10.0sample-negFalse-scaleFalse-pos1.0-eps1e-06-stocFalselr0.0004-ViT-B-32-1990_0124032307 -2025-01-24,03:23:13 | INFO | no_set_device_rank: False -2025-01-24,03:23:13 | INFO | norm_cap: 1.0 -2025-01-24,03:23:13 | INFO | normalize_type: L2 -2025-01-24,03:23:13 | INFO | note: emn_fix -2025-01-24,03:23:13 | INFO | pos_coef: 1.0 -2025-01-24,03:23:13 | INFO | precision: amp -2025-01-24,03:23:13 | INFO | pretrained: -2025-01-24,03:23:13 | INFO | pretrained_image: False -2025-01-24,03:23:13 | INFO | rank: 0 -2025-01-24,03:23:13 | INFO | remote_sync: None -2025-01-24,03:23:13 | INFO | remote_sync_frequency: 300 -2025-01-24,03:23:13 | INFO | remote_sync_protocol: s3 -2025-01-24,03:23:13 | INFO | report_to: wandb -2025-01-24,03:23:13 | INFO | resume: None -2025-01-24,03:23:13 | INFO | save_frequency: 1 -2025-01-24,03:23:13 | INFO | save_most_recent: False -2025-01-24,03:23:13 | INFO | scale_loss: False -2025-01-24,03:23:13 | INFO | seed: 42 -2025-01-24,03:23:13 | INFO | siglip: False -2025-01-24,03:23:13 | INFO | skip_scheduler: False -2025-01-24,03:23:13 | INFO | stoc_fit_lambda: False -2025-01-24,03:23:13 | INFO | tensorboard: False -2025-01-24,03:23:13 | INFO | tensorboard_path: -2025-01-24,03:23:13 | INFO | torchcompile: False -2025-01-24,03:23:13 | INFO | torchscript: False -2025-01-24,03:23:13 | INFO | trace: False -2025-01-24,03:23:13 | INFO | train_data: /scratch/cc12m/{00000..01240}.tar -2025-01-24,03:23:13 | INFO | train_data_upsampling_factors: None -2025-01-24,03:23:13 | INFO | train_num_samples: 9187328 -2025-01-24,03:23:13 | INFO | update_ema_mlps_every_n_steps: 2000 -2025-01-24,03:23:13 | INFO | use_bn_sync: False -2025-01-24,03:23:13 | INFO | use_bnb_linear: None -2025-01-24,03:23:13 | INFO | use_feature_diff: False -2025-01-24,03:23:13 | INFO | val_data: /scratch/cc12m/{01241..01242}.tar -2025-01-24,03:23:13 | INFO | val_frequency: 1 -2025-01-24,03:23:13 | INFO | val_num_samples: 205824 -2025-01-24,03:23:13 | INFO | wandb: True -2025-01-24,03:23:13 | INFO | wandb_notes: -2025-01-24,03:23:13 | INFO | wandb_project_name: open-clip -2025-01-24,03:23:13 | INFO | warmup: 10000 -2025-01-24,03:23:13 | INFO | wd: 0.1 -2025-01-24,03:23:13 | INFO | workers: 6 -2025-01-24,03:23:13 | INFO | world_size: 2 -2025-01-24,03:23:13 | INFO | z_beta_max: 0.8 -2025-01-24,03:23:13 | INFO | zeroshot_frequency: 1 -2025-01-24,03:23:13 | INFO | lr: 0.0004, lr_tau: 0.0001 -2025-01-24,03:23:13 | INFO | lr: 0.0004, lr_tau: 0.0001 -2025-01-24,03:23:15 | INFO | Start epoch 0 -2025-01-24,03:23:34 | INFO | Train Epoch: 0 [ 3980/9193800 (0%)] Step: 0.0K | Data (t): 10.931 Batch (t): 18.699, 212.843/s, 106.421/s/gpu Logit Scale: 14.286 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 2.8446 (2.8446) Joint_loss: -0.84325 (-0.84325) Cross_loss: 2.0013 (2.0013) Image_lambda_loss: 0.010041 (0.010041) Text_lambda_loss: 0.11676 (0.11676) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:25:58 | INFO | Train Epoch: 0 [ 401980/9193800 (4%)] Step: 0.1K | Data (t): 0.334 Batch (t): 1.442, 2669.31/s, 1334.66/s/gpu Logit Scale: 14.243 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 1.1290 (1.9868) Joint_loss: 0.87141 (0.014076) Cross_loss: 2.0004 (2.0009) Image_lambda_loss: 0.0016416 (0.0058411) Text_lambda_loss: 0.0011270 (0.058944) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:28:26 | INFO | Train Epoch: 0 [ 799980/9193800 (9%)] Step: 0.2K | Data (t): 0.358 Batch (t): 1.483, 2817.44/s, 1408.72/s/gpu Logit Scale: 14.267 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -1.7017 (0.75729) Joint_loss: 3.7010 (1.2431) Cross_loss: 1.9993 (2.0003) Image_lambda_loss: 0.0050901 (0.0055908) Text_lambda_loss: 0.0054113 (0.041100) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:30:57 | INFO | Train Epoch: 0 [1197980/9193800 (13%)] Step: 0.3K | Data (t): 0.366 Batch (t): 1.510, 2580.65/s, 1290.32/s/gpu Logit Scale: 14.294 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -2.8743 (-0.15061) Joint_loss: 4.8763 (2.1514) Cross_loss: 2.0020 (2.0008) Image_lambda_loss: 0.031025 (0.011949) Text_lambda_loss: 0.016598 (0.034975) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:33:27 | INFO | Train Epoch: 0 [1595980/9193800 (17%)] Step: 0.4K | Data (t): 0.353 Batch (t): 1.500, 2693.18/s, 1346.59/s/gpu Logit Scale: 14.339 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -3.8507 (-0.89062) Joint_loss: 5.8519 (2.8915) Cross_loss: 2.0012 (2.0009) Image_lambda_loss: 0.017425 (0.013044) Text_lambda_loss: 0.049026 (0.037785) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:35:58 | INFO | Train Epoch: 0 [1993980/9193800 (22%)] Step: 0.5K | Data (t): 0.366 Batch (t): 1.512, 2853.23/s, 1426.61/s/gpu Logit Scale: 14.393 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -4.4529 (-1.4843) Joint_loss: 6.4546 (3.4853) Cross_loss: 2.0016 (2.0010) Image_lambda_loss: 0.025967 (0.015198) Text_lambda_loss: 0.065718 (0.042440) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:38:28 | INFO | Train Epoch: 0 [2391980/9193800 (26%)] Step: 0.6K | Data (t): 0.348 Batch (t): 1.496, 2820.10/s, 1410.05/s/gpu Logit Scale: 14.470 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -5.4814 (-2.0554) Joint_loss: 7.4844 (4.0566) Cross_loss: 2.0029 (2.0013) Image_lambda_loss: 0.024631 (0.016546) Text_lambda_loss: 0.058629 (0.044753) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:40:59 | INFO | Train Epoch: 0 [2789980/9193800 (30%)] Step: 0.7K | Data (t): 0.359 Batch (t): 1.510, 2819.97/s, 1409.98/s/gpu Logit Scale: 14.551 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -5.8615 (-2.5311) Joint_loss: 7.8650 (4.5327) Cross_loss: 2.0035 (2.0015) Image_lambda_loss: 0.029274 (0.018137) Text_lambda_loss: 0.059526 (0.046600) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:43:31 | INFO | Train Epoch: 0 [3187980/9193800 (35%)] Step: 0.8K | Data (t): 0.366 Batch (t): 1.520, 2462.15/s, 1231.07/s/gpu Logit Scale: 14.644 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.5028 (-2.9724) Joint_loss: 8.4929 (4.9727) Cross_loss: 1.9901 (2.0003) Image_lambda_loss: 0.027286 (0.019153) Text_lambda_loss: 0.053620 (0.047380) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:46:02 | INFO | Train Epoch: 0 [3585980/9193800 (39%)] Step: 0.9K | Data (t): 0.363 Batch (t): 1.516, 2650.70/s, 1325.35/s/gpu Logit Scale: 14.755 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -6.9033 (-3.3655) Joint_loss: 8.9022 (5.3656) Cross_loss: 1.9989 (2.0001) Image_lambda_loss: 0.023248 (0.019563) Text_lambda_loss: 0.074137 (0.050055) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:48:33 | INFO | Train Epoch: 0 [3983980/9193800 (43%)] Step: 1.0K | Data (t): 0.355 Batch (t): 1.507, 2694.45/s, 1347.23/s/gpu Logit Scale: 14.875 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -7.4803 (-3.7396) Joint_loss: 9.4825 (5.7399) Cross_loss: 2.0022 (2.0003) Image_lambda_loss: 0.027814 (0.020313) Text_lambda_loss: 0.086424 (0.053362) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:51:05 | INFO | Train Epoch: 0 [4381980/9193800 (48%)] Step: 1.1K | Data (t): 0.358 Batch (t): 1.515, 2721.04/s, 1360.52/s/gpu Logit Scale: 14.998 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -7.8180 (-4.0794) Joint_loss: 9.8151 (6.0795) Cross_loss: 1.9971 (2.0001) Image_lambda_loss: 0.024364 (0.020651) Text_lambda_loss: 0.069474 (0.054704) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:53:37 | INFO | Train Epoch: 0 [4779980/9193800 (52%)] Step: 1.2K | Data (t): 0.367 Batch (t): 1.523, 2601.68/s, 1300.84/s/gpu Logit Scale: 15.129 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.0802 (-4.3872) Joint_loss: 10.075 (6.3868) Cross_loss: 1.9943 (1.9996) Image_lambda_loss: 0.026616 (0.021109) Text_lambda_loss: 0.084240 (0.056976) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:56:09 | INFO | Train Epoch: 0 [5177980/9193800 (56%)] Step: 1.3K | Data (t): 0.355 Batch (t): 1.517, 2800.64/s, 1400.32/s/gpu Logit Scale: 15.260 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.4097 (-4.6745) Joint_loss: 10.411 (6.6743) Cross_loss: 2.0013 (1.9997) Image_lambda_loss: 0.026285 (0.021479) Text_lambda_loss: 0.10896 (0.060689) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,03:58:41 | INFO | Train Epoch: 0 [5575980/9193800 (61%)] Step: 1.4K | Data (t): 0.364 Batch (t): 1.519, 2597.80/s, 1298.90/s/gpu Logit Scale: 15.389 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.8612 (-4.9536) Joint_loss: 10.868 (6.9538) Cross_loss: 2.0068 (2.0002) Image_lambda_loss: 0.025091 (0.021720) Text_lambda_loss: 0.094141 (0.062919) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,04:01:11 | INFO | Train Epoch: 0 [5973980/9193800 (65%)] Step: 1.5K | Data (t): 0.353 Batch (t): 1.507, 2603.17/s, 1301.59/s/gpu Logit Scale: 15.526 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.1722 (-5.2173) Joint_loss: 11.172 (7.2175) Cross_loss: 2.0001 (2.0002) Image_lambda_loss: 0.028434 (0.022140) Text_lambda_loss: 0.088149 (0.064496) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,04:03:44 | INFO | Train Epoch: 0 [6371980/9193800 (69%)] Step: 1.6K | Data (t): 0.376 Batch (t): 1.526, 2748.07/s, 1374.03/s/gpu Logit Scale: 15.669 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -8.9629 (-5.4376) Joint_loss: 10.964 (7.4379) Cross_loss: 2.0015 (2.0003) Image_lambda_loss: 0.034195 (0.022849) Text_lambda_loss: 0.10808 (0.067060) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,04:06:18 | INFO | Train Epoch: 0 [6769980/9193800 (74%)] Step: 1.7K | Data (t): 0.381 Batch (t): 1.538, 2571.01/s, 1285.50/s/gpu Logit Scale: 15.810 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.5576 (-5.6665) Joint_loss: 11.554 (7.6666) Cross_loss: 1.9967 (2.0001) Image_lambda_loss: 0.028114 (0.023141) Text_lambda_loss: 0.091467 (0.068416) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,04:08:49 | INFO | Train Epoch: 0 [7167980/9193800 (78%)] Step: 1.8K | Data (t): 0.360 Batch (t): 1.514, 2768.60/s, 1384.30/s/gpu Logit Scale: 15.953 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.5465 (-5.8707) Joint_loss: 11.551 (7.8711) Cross_loss: 2.0048 (2.0003) Image_lambda_loss: 0.030482 (0.023528) Text_lambda_loss: 0.091905 (0.069652) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,04:11:20 | INFO | Train Epoch: 0 [7565980/9193800 (82%)] Step: 1.9K | Data (t): 0.362 Batch (t): 1.514, 2645.61/s, 1322.81/s/gpu Logit Scale: 16.103 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.9870 (-6.0765) Joint_loss: 11.991 (8.0771) Cross_loss: 2.0044 (2.0005) Image_lambda_loss: 0.033129 (0.024008) Text_lambda_loss: 0.086149 (0.070477) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,04:13:51 | INFO | Train Epoch: 0 [7963980/9193800 (87%)] Step: 2.0K | Data (t): 0.363 Batch (t): 1.510, 2610.55/s, 1305.27/s/gpu Logit Scale: 16.246 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.9510 (-6.2610) Joint_loss: 11.953 (8.2616) Cross_loss: 2.0015 (2.0006) Image_lambda_loss: 0.037806 (0.024665) Text_lambda_loss: 0.12562 (0.073103) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,04:16:18 | INFO | Train Epoch: 0 [8361980/9193800 (91%)] Step: 2.1K | Data (t): 0.318 Batch (t): 1.470, 2668.42/s, 1334.21/s/gpu Logit Scale: 16.395 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.474 (-6.4526) Joint_loss: 12.476 (8.4532) Cross_loss: 2.0010 (2.0006) Image_lambda_loss: 0.029513 (0.024885) Text_lambda_loss: 0.079052 (0.073373) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,04:18:49 | INFO | Train Epoch: 0 [8759980/9193800 (95%)] Step: 2.2K | Data (t): 0.343 Batch (t): 1.508, 2824.02/s, 1412.01/s/gpu Logit Scale: 16.542 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.681 (-6.6364) Joint_loss: 12.683 (8.6371) Cross_loss: 2.0022 (2.0007) Image_lambda_loss: 0.036898 (0.025407) Text_lambda_loss: 0.092362 (0.074199) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,04:21:19 | INFO | Train Epoch: 0 [9157980/9193800 (100%)] Step: 2.3K | Data (t): 0.354 Batch (t): 1.493, 2623.56/s, 1311.78/s/gpu Logit Scale: 16.699 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.722 (-6.8066) Joint_loss: 12.730 (8.8076) Cross_loss: 2.0080 (2.0010) Image_lambda_loss: 0.043403 (0.026157) Text_lambda_loss: 0.090250 (0.074868) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,04:21:32 | INFO | Train Epoch: 0 [9193800/9193800 (100%)] Step: 2.3K | Data (t): 0.333 Batch (t): 1.486, 2597.33/s, 1298.66/s/gpu Logit Scale: 16.714 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.722 (-6.9633) Joint_loss: 12.737 (8.9648) Cross_loss: 2.0143 (2.0015) Image_lambda_loss: 0.035605 (0.026535) Text_lambda_loss: 0.095998 (0.075713) | L_updates: 19 | z_beta: 0.0, model_beta: 0.99 | -2025-01-24,04:21:32 | INFO | Starting zero-shot imagenet. -2025-01-24,04:21:32 | INFO | Building zero-shot classifier -2025-01-24,04:21:39 | INFO | Using classifier -2025-01-24,04:22:45 | INFO | Finished zero-shot imagenet. -2025-01-24,04:22:54 | INFO | Eval Epoch: 1 [1990 / 205824] Clip Loss: 4.938730 -2025-01-24,04:23:28 | INFO | Eval Epoch: 1 imagenet-zeroshot-val-top1: 0.0253 imagenet-zeroshot-val-top5: 0.0816 image_to_text_mean_rank: 452.1180 image_to_text_median_rank: 99.0000 image_to_text_R@1: 0.0514 image_to_text_R@5: 0.1398 image_to_text_R@10: 0.1951 text_to_image_mean_rank: 486.3404 text_to_image_median_rank: 100.0000 text_to_image_R@1: 0.0457 text_to_image_R@5: 0.1349 text_to_image_R@10: 0.1939 clip_val_loss: 4.8593 epoch: 1.0000 num_samples: 8678.0000 -2025-01-24,04:23:31 | INFO | Start epoch 1 -2025-01-24,04:23:41 | INFO | Train Epoch: 1 [ 3980/9193800 (0%)] Step: 2.3K | Data (t): 9.293 Batch (t): 10.380, 383.413/s, 191.706/s/gpu Logit Scale: 16.716 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.025 (-11.025) Joint_loss: 13.038 (13.038) Cross_loss: 2.0135 (2.0135) Image_lambda_loss: 0.033391 (0.033391) Text_lambda_loss: 0.090675 (0.090675) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:26:11 | INFO | Train Epoch: 1 [ 401980/9193800 (4%)] Step: 2.4K | Data (t): 0.285 Batch (t): 1.497, 2556.06/s, 1278.03/s/gpu Logit Scale: 16.864 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.9069 (-10.466) Joint_loss: 11.917 (12.478) Cross_loss: 2.0099 (2.0117) Image_lambda_loss: 0.034755 (0.034073) Text_lambda_loss: 0.10150 (0.096088) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:28:43 | INFO | Train Epoch: 1 [ 799980/9193800 (9%)] Step: 2.5K | Data (t): 0.360 Batch (t): 1.523, 2601.13/s, 1300.57/s/gpu Logit Scale: 17.016 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.079 (-10.337) Joint_loss: 12.090 (12.348) Cross_loss: 2.0109 (2.0115) Image_lambda_loss: 0.038581 (0.035576) Text_lambda_loss: 0.11262 (0.10160) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:31:16 | INFO | Train Epoch: 1 [1197980/9193800 (13%)] Step: 2.6K | Data (t): 0.364 Batch (t): 1.531, 2809.08/s, 1404.54/s/gpu Logit Scale: 17.174 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.8210 (-10.208) Joint_loss: 11.833 (12.219) Cross_loss: 2.0116 (2.0115) Image_lambda_loss: 0.044692 (0.037855) Text_lambda_loss: 0.10737 (0.10304) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:33:47 | INFO | Train Epoch: 1 [1595980/9193800 (17%)] Step: 2.7K | Data (t): 0.362 Batch (t): 1.513, 2656.26/s, 1328.13/s/gpu Logit Scale: 17.334 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.9783 (-10.162) Joint_loss: 11.987 (12.173) Cross_loss: 2.0091 (2.0110) Image_lambda_loss: 0.040809 (0.038446) Text_lambda_loss: 0.098635 (0.10216) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:36:20 | INFO | Train Epoch: 1 [1993980/9193800 (22%)] Step: 2.8K | Data (t): 0.365 Batch (t): 1.530, 2636.31/s, 1318.16/s/gpu Logit Scale: 17.500 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.493 (-10.217) Joint_loss: 12.507 (12.229) Cross_loss: 2.0135 (2.0114) Image_lambda_loss: 0.045752 (0.039663) Text_lambda_loss: 0.081559 (0.098727) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:38:54 | INFO | Train Epoch: 1 [2391980/9193800 (26%)] Step: 2.9K | Data (t): 0.373 Batch (t): 1.536, 2626.88/s, 1313.44/s/gpu Logit Scale: 17.664 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.334 (-10.234) Joint_loss: 12.342 (12.245) Cross_loss: 2.0078 (2.0109) Image_lambda_loss: 0.049403 (0.041055) Text_lambda_loss: 0.084054 (0.096631) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:41:26 | INFO | Train Epoch: 1 [2789980/9193800 (30%)] Step: 3.0K | Data (t): 0.363 Batch (t): 1.519, 2478.43/s, 1239.22/s/gpu Logit Scale: 17.836 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.671 (-10.289) Joint_loss: 12.681 (12.299) Cross_loss: 2.0107 (2.0109) Image_lambda_loss: 0.049107 (0.042061) Text_lambda_loss: 0.091737 (0.096019) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:43:58 | INFO | Train Epoch: 1 [3187980/9193800 (35%)] Step: 3.1K | Data (t): 0.367 Batch (t): 1.525, 2493.34/s, 1246.67/s/gpu Logit Scale: 18.011 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.787 (-10.344) Joint_loss: 12.807 (12.356) Cross_loss: 2.0201 (2.0119) Image_lambda_loss: 0.057559 (0.043783) Text_lambda_loss: 0.098275 (0.096270) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:46:30 | INFO | Train Epoch: 1 [3585980/9193800 (39%)] Step: 3.2K | Data (t): 0.365 Batch (t): 1.520, 2403.50/s, 1201.75/s/gpu Logit Scale: 18.186 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.978 (-10.407) Joint_loss: 12.988 (12.419) Cross_loss: 2.0101 (2.0117) Image_lambda_loss: 0.055088 (0.044914) Text_lambda_loss: 0.087541 (0.095397) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:49:02 | INFO | Train Epoch: 1 [3983980/9193800 (43%)] Step: 3.3K | Data (t): 0.367 Batch (t): 1.521, 2625.91/s, 1312.95/s/gpu Logit Scale: 18.363 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.887 (-10.451) Joint_loss: 12.901 (12.463) Cross_loss: 2.0142 (2.0119) Image_lambda_loss: 0.062156 (0.046481) Text_lambda_loss: 0.093182 (0.095195) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:51:34 | INFO | Train Epoch: 1 [4381980/9193800 (48%)] Step: 3.4K | Data (t): 0.370 Batch (t): 1.519, 2785.96/s, 1392.98/s/gpu Logit Scale: 18.538 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.196 (-10.513) Joint_loss: 13.200 (12.524) Cross_loss: 2.0036 (2.0113) Image_lambda_loss: 0.055611 (0.047242) Text_lambda_loss: 0.093153 (0.095025) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:54:08 | INFO | Train Epoch: 1 [4779980/9193800 (52%)] Step: 3.5K | Data (t): 0.375 Batch (t): 1.536, 2505.43/s, 1252.71/s/gpu Logit Scale: 18.724 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.381 (-10.580) Joint_loss: 13.389 (12.591) Cross_loss: 2.0080 (2.0110) Image_lambda_loss: 0.056062 (0.047921) Text_lambda_loss: 0.11015 (0.096189) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:56:41 | INFO | Train Epoch: 1 [5177980/9193800 (56%)] Step: 3.6K | Data (t): 0.368 Batch (t): 1.529, 2619.85/s, 1309.93/s/gpu Logit Scale: 18.902 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.526 (-10.647) Joint_loss: 13.554 (12.660) Cross_loss: 2.0273 (2.0122) Image_lambda_loss: 0.061912 (0.048920) Text_lambda_loss: 0.091267 (0.095837) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,04:59:13 | INFO | Train Epoch: 1 [5575980/9193800 (61%)] Step: 3.7K | Data (t): 0.370 Batch (t): 1.526, 2618.45/s, 1309.22/s/gpu Logit Scale: 19.088 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.754 (-10.721) Joint_loss: 13.769 (12.733) Cross_loss: 2.0141 (2.0123) Image_lambda_loss: 0.064441 (0.049955) Text_lambda_loss: 0.10001 (0.096115) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,05:01:46 | INFO | Train Epoch: 1 [5973980/9193800 (65%)] Step: 3.8K | Data (t): 0.368 Batch (t): 1.530, 2674.01/s, 1337.01/s/gpu Logit Scale: 19.273 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.720 (-10.784) Joint_loss: 13.716 (12.795) Cross_loss: 1.9966 (2.0113) Image_lambda_loss: 0.073453 (0.051423) Text_lambda_loss: 0.10651 (0.096765) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,05:04:17 | INFO | Train Epoch: 1 [6371980/9193800 (69%)] Step: 3.9K | Data (t): 0.360 Batch (t): 1.510, 2571.35/s, 1285.67/s/gpu Logit Scale: 19.461 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.754 (-10.841) Joint_loss: 13.754 (12.851) Cross_loss: 2.0001 (2.0107) Image_lambda_loss: 0.076743 (0.052913) Text_lambda_loss: 0.11564 (0.097875) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,05:06:50 | INFO | Train Epoch: 1 [6769980/9193800 (74%)] Step: 4.0K | Data (t): 0.370 Batch (t): 1.530, 2658.86/s, 1329.43/s/gpu Logit Scale: 19.651 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.116 (-10.912) Joint_loss: 14.130 (12.922) Cross_loss: 2.0134 (2.0108) Image_lambda_loss: 0.073633 (0.054064) Text_lambda_loss: 0.11812 (0.099000) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,05:09:17 | INFO | Train Epoch: 1 [7167980/9193800 (78%)] Step: 4.1K | Data (t): 0.328 Batch (t): 1.464, 2658.95/s, 1329.47/s/gpu Logit Scale: 19.843 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.147 (-10.977) Joint_loss: 14.165 (12.988) Cross_loss: 2.0178 (2.0112) Image_lambda_loss: 0.076551 (0.055247) Text_lambda_loss: 0.10808 (0.099478) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,05:11:49 | INFO | Train Epoch: 1 [7565980/9193800 (82%)] Step: 4.2K | Data (t): 0.369 Batch (t): 1.527, 2759.38/s, 1379.69/s/gpu Logit Scale: 20.039 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.449 (-11.050) Joint_loss: 14.463 (13.062) Cross_loss: 2.0138 (2.0113) Image_lambda_loss: 0.075430 (0.056256) Text_lambda_loss: 0.11975 (0.10049) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,05:14:21 | INFO | Train Epoch: 1 [7963980/9193800 (87%)] Step: 4.3K | Data (t): 0.364 Batch (t): 1.516, 2541.33/s, 1270.67/s/gpu Logit Scale: 20.233 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.676 (-11.128) Joint_loss: 14.696 (13.139) Cross_loss: 2.0205 (2.0117) Image_lambda_loss: 0.098939 (0.058289) Text_lambda_loss: 0.12721 (0.10176) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,05:16:47 | INFO | Train Epoch: 1 [8361980/9193800 (91%)] Step: 4.4K | Data (t): 0.308 Batch (t): 1.464, 2602.81/s, 1301.41/s/gpu Logit Scale: 20.437 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.003 (-11.213) Joint_loss: 15.013 (13.225) Cross_loss: 2.0098 (2.0117) Image_lambda_loss: 0.091200 (0.059785) Text_lambda_loss: 0.12154 (0.10266) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,05:19:15 | INFO | Train Epoch: 1 [8759980/9193800 (95%)] Step: 4.5K | Data (t): 0.330 Batch (t): 1.472, 3084.85/s, 1542.43/s/gpu Logit Scale: 20.637 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.047 (-11.293) Joint_loss: 15.060 (13.304) Cross_loss: 2.0134 (2.0117) Image_lambda_loss: 0.098402 (0.061464) Text_lambda_loss: 0.15490 (0.10493) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,05:21:32 | INFO | Train Epoch: 1 [9157980/9193800 (100%)] Step: 4.6K | Data (t): 0.270 Batch (t): 1.370, 3121.84/s, 1560.92/s/gpu Logit Scale: 20.839 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.217 (-11.373) Joint_loss: 15.240 (13.385) Cross_loss: 2.0227 (2.0122) Image_lambda_loss: 0.10396 (0.063235) Text_lambda_loss: 0.13775 (0.10630) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,05:21:44 | INFO | Train Epoch: 1 [9193800/9193800 (100%)] Step: 4.6K | Data (t): 0.245 Batch (t): 1.327, 3147.97/s, 1573.98/s/gpu Logit Scale: 20.858 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.050 (-11.440) Joint_loss: 15.065 (13.452) Cross_loss: 2.0146 (2.0123) Image_lambda_loss: 0.11338 (0.065241) Text_lambda_loss: 0.14124 (0.10770) | L_updates: 19 | z_beta: 0.007685887838707828, model_beta: 0.99 | -2025-01-24,05:21:44 | INFO | Starting zero-shot imagenet. -2025-01-24,05:21:44 | INFO | Building zero-shot classifier -2025-01-24,05:21:51 | INFO | Using classifier -2025-01-24,05:22:51 | INFO | Finished zero-shot imagenet. -2025-01-24,05:23:00 | INFO | Eval Epoch: 2 [1990 / 205824] Clip Loss: 3.605280 -2025-01-24,05:23:32 | INFO | Eval Epoch: 2 imagenet-zeroshot-val-top1: 0.0622 imagenet-zeroshot-val-top5: 0.1727 image_to_text_mean_rank: 171.4742 image_to_text_median_rank: 20.0000 image_to_text_R@1: 0.1530 image_to_text_R@5: 0.3199 image_to_text_R@10: 0.4083 text_to_image_mean_rank: 185.2043 text_to_image_median_rank: 20.0000 text_to_image_R@1: 0.1434 text_to_image_R@5: 0.3103 text_to_image_R@10: 0.4016 clip_val_loss: 3.4970 epoch: 2.0000 num_samples: 8678.0000 -2025-01-24,05:23:34 | INFO | Start epoch 2 -2025-01-24,05:23:45 | INFO | Train Epoch: 2 [ 3980/9193800 (0%)] Step: 4.6K | Data (t): 10.072 Batch (t): 11.165, 356.461/s, 178.230/s/gpu Logit Scale: 20.860 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.026 (-13.026) Joint_loss: 15.074 (15.074) Cross_loss: 2.0471 (2.0471) Image_lambda_loss: 0.11616 (0.11616) Text_lambda_loss: 0.15708 (0.15708) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:25:59 | INFO | Train Epoch: 2 [ 401980/9193800 (4%)] Step: 4.7K | Data (t): 0.216 Batch (t): 1.334, 3291.34/s, 1645.67/s/gpu Logit Scale: 21.083 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.921 (-11.974) Joint_loss: 12.943 (14.008) Cross_loss: 2.0220 (2.0346) Image_lambda_loss: 0.10434 (0.11025) Text_lambda_loss: 0.14960 (0.15334) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:28:12 | INFO | Train Epoch: 2 [ 799980/9193800 (9%)] Step: 4.8K | Data (t): 0.248 Batch (t): 1.332, 2903.40/s, 1451.70/s/gpu Logit Scale: 21.293 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.153 (-11.367) Joint_loss: 12.183 (13.400) Cross_loss: 2.0301 (2.0331) Image_lambda_loss: 0.10372 (0.10807) Text_lambda_loss: 0.13816 (0.14828) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:30:25 | INFO | Train Epoch: 2 [1197980/9193800 (13%)] Step: 4.9K | Data (t): 0.254 Batch (t): 1.335, 2585.74/s, 1292.87/s/gpu Logit Scale: 21.500 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.129 (-11.057) Joint_loss: 12.146 (13.086) Cross_loss: 2.0173 (2.0291) Image_lambda_loss: 0.099144 (0.10584) Text_lambda_loss: 0.15508 (0.14998) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:32:37 | INFO | Train Epoch: 2 [1595980/9193800 (17%)] Step: 5.0K | Data (t): 0.244 Batch (t): 1.319, 3254.10/s, 1627.05/s/gpu Logit Scale: 21.710 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.323 (-10.911) Joint_loss: 12.343 (12.938) Cross_loss: 2.0196 (2.0272) Image_lambda_loss: 0.11119 (0.10691) Text_lambda_loss: 0.14763 (0.14951) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:34:51 | INFO | Train Epoch: 2 [1993980/9193800 (22%)] Step: 5.1K | Data (t): 0.262 Batch (t): 1.337, 3236.86/s, 1618.43/s/gpu Logit Scale: 21.922 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.482 (-10.839) Joint_loss: 12.507 (12.866) Cross_loss: 2.0256 (2.0269) Image_lambda_loss: 0.11944 (0.10900) Text_lambda_loss: 0.16775 (0.15255) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:37:04 | INFO | Train Epoch: 2 [2391980/9193800 (26%)] Step: 5.2K | Data (t): 0.271 Batch (t): 1.333, 2833.35/s, 1416.68/s/gpu Logit Scale: 22.136 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -9.9911 (-10.718) Joint_loss: 12.022 (12.745) Cross_loss: 2.0306 (2.0275) Image_lambda_loss: 0.12945 (0.11192) Text_lambda_loss: 0.16054 (0.15369) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:39:19 | INFO | Train Epoch: 2 [2789980/9193800 (30%)] Step: 5.3K | Data (t): 0.243 Batch (t): 1.347, 3042.16/s, 1521.08/s/gpu Logit Scale: 22.354 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.396 (-10.678) Joint_loss: 12.427 (12.706) Cross_loss: 2.0308 (2.0279) Image_lambda_loss: 0.12311 (0.11332) Text_lambda_loss: 0.15917 (0.15438) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:41:33 | INFO | Train Epoch: 2 [3187980/9193800 (35%)] Step: 5.4K | Data (t): 0.260 Batch (t): 1.340, 3165.50/s, 1582.75/s/gpu Logit Scale: 22.574 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.288 (-10.634) Joint_loss: 12.314 (12.662) Cross_loss: 2.0261 (2.0277) Image_lambda_loss: 0.14391 (0.11672) Text_lambda_loss: 0.17460 (0.15662) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:43:47 | INFO | Train Epoch: 2 [3585980/9193800 (39%)] Step: 5.5K | Data (t): 0.256 Batch (t): 1.337, 2981.37/s, 1490.69/s/gpu Logit Scale: 22.796 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.333 (-10.604) Joint_loss: 12.365 (12.632) Cross_loss: 2.0322 (2.0281) Image_lambda_loss: 0.14385 (0.11943) Text_lambda_loss: 0.17283 (0.15824) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:46:00 | INFO | Train Epoch: 2 [3983980/9193800 (43%)] Step: 5.6K | Data (t): 0.265 Batch (t): 1.332, 3281.45/s, 1640.73/s/gpu Logit Scale: 23.022 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.394 (-10.585) Joint_loss: 12.409 (12.612) Cross_loss: 2.0143 (2.0269) Image_lambda_loss: 0.14194 (0.12148) Text_lambda_loss: 0.18236 (0.16044) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:48:16 | INFO | Train Epoch: 2 [4381980/9193800 (48%)] Step: 5.7K | Data (t): 0.280 Batch (t): 1.359, 3087.94/s, 1543.97/s/gpu Logit Scale: 23.246 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.478 (-10.576) Joint_loss: 12.508 (12.603) Cross_loss: 2.0292 (2.0271) Image_lambda_loss: 0.15344 (0.12414) Text_lambda_loss: 0.17039 (0.16127) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:50:29 | INFO | Train Epoch: 2 [4779980/9193800 (52%)] Step: 5.8K | Data (t): 0.270 Batch (t): 1.336, 2870.27/s, 1435.13/s/gpu Logit Scale: 23.474 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.181 (-10.546) Joint_loss: 12.196 (12.572) Cross_loss: 2.0150 (2.0261) Image_lambda_loss: 0.14951 (0.12609) Text_lambda_loss: 0.17976 (0.16269) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:52:45 | INFO | Train Epoch: 2 [5177980/9193800 (56%)] Step: 5.9K | Data (t): 0.281 Batch (t): 1.352, 3250.90/s, 1625.45/s/gpu Logit Scale: 23.705 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.318 (-10.530) Joint_loss: 12.336 (12.555) Cross_loss: 2.0180 (2.0256) Image_lambda_loss: 0.13932 (0.12704) Text_lambda_loss: 0.17754 (0.16375) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:54:58 | INFO | Train Epoch: 2 [5575980/9193800 (61%)] Step: 6.0K | Data (t): 0.270 Batch (t): 1.333, 3025.77/s, 1512.89/s/gpu Logit Scale: 23.939 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.482 (-10.526) Joint_loss: 12.508 (12.552) Cross_loss: 2.0258 (2.0256) Image_lambda_loss: 0.14877 (0.12849) Text_lambda_loss: 0.17910 (0.16477) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:57:12 | INFO | Train Epoch: 2 [5973980/9193800 (65%)] Step: 6.1K | Data (t): 0.264 Batch (t): 1.337, 2899.27/s, 1449.64/s/gpu Logit Scale: 24.175 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.605 (-10.531) Joint_loss: 12.628 (12.557) Cross_loss: 2.0222 (2.0254) Image_lambda_loss: 0.15026 (0.12985) Text_lambda_loss: 0.19156 (0.16645) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,05:59:24 | INFO | Train Epoch: 2 [6371980/9193800 (69%)] Step: 6.2K | Data (t): 0.255 Batch (t): 1.320, 2981.63/s, 1490.82/s/gpu Logit Scale: 24.410 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.582 (-10.534) Joint_loss: 12.595 (12.559) Cross_loss: 2.0126 (2.0246) Image_lambda_loss: 0.16018 (0.13163) Text_lambda_loss: 0.17793 (0.16712) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,06:01:36 | INFO | Train Epoch: 2 [6769980/9193800 (74%)] Step: 6.3K | Data (t): 0.266 Batch (t): 1.324, 3170.61/s, 1585.31/s/gpu Logit Scale: 24.649 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.780 (-10.548) Joint_loss: 12.789 (12.572) Cross_loss: 2.0086 (2.0237) Image_lambda_loss: 0.16036 (0.13323) Text_lambda_loss: 0.20742 (0.16936) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,06:03:48 | INFO | Train Epoch: 2 [7167980/9193800 (78%)] Step: 6.4K | Data (t): 0.211 Batch (t): 1.317, 2876.02/s, 1438.01/s/gpu Logit Scale: 24.891 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.644 (-10.553) Joint_loss: 12.653 (12.576) Cross_loss: 2.0089 (2.0229) Image_lambda_loss: 0.18363 (0.13588) Text_lambda_loss: 0.23433 (0.17278) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,06:05:59 | INFO | Train Epoch: 2 [7565980/9193800 (82%)] Step: 6.5K | Data (t): 0.246 Batch (t): 1.317, 2876.32/s, 1438.16/s/gpu Logit Scale: 25.134 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.693 (-10.560) Joint_loss: 12.709 (12.583) Cross_loss: 2.0166 (2.0226) Image_lambda_loss: 0.17243 (0.13771) Text_lambda_loss: 0.22102 (0.17519) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,06:08:11 | INFO | Train Epoch: 2 [7963980/9193800 (87%)] Step: 6.6K | Data (t): 0.250 Batch (t): 1.317, 3188.35/s, 1594.17/s/gpu Logit Scale: 25.379 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -10.905 (-10.577) Joint_loss: 12.926 (12.599) Cross_loss: 2.0209 (2.0226) Image_lambda_loss: 0.17503 (0.13949) Text_lambda_loss: 0.20391 (0.17656) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,06:10:20 | INFO | Train Epoch: 2 [8361980/9193800 (91%)] Step: 6.7K | Data (t): 0.219 Batch (t): 1.293, 3083.83/s, 1541.91/s/gpu Logit Scale: 25.634 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.199 (-10.605) Joint_loss: 13.230 (12.628) Cross_loss: 2.0318 (2.0230) Image_lambda_loss: 0.19508 (0.14201) Text_lambda_loss: 0.21862 (0.17847) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,06:12:33 | INFO | Train Epoch: 2 [8759980/9193800 (95%)] Step: 6.8K | Data (t): 0.259 Batch (t): 1.327, 3285.20/s, 1642.60/s/gpu Logit Scale: 25.885 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.261 (-10.633) Joint_loss: 13.283 (12.656) Cross_loss: 2.0219 (2.0229) Image_lambda_loss: 0.19090 (0.14414) Text_lambda_loss: 0.24071 (0.18118) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,06:14:43 | INFO | Train Epoch: 2 [9157980/9193800 (100%)] Step: 6.9K | Data (t): 0.250 Batch (t): 1.301, 3005.62/s, 1502.81/s/gpu Logit Scale: 26.137 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.620 (-10.674) Joint_loss: 13.644 (12.697) Cross_loss: 2.0246 (2.0230) Image_lambda_loss: 0.21134 (0.14694) Text_lambda_loss: 0.25163 (0.18411) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,06:14:55 | INFO | Train Epoch: 2 [9193800/9193800 (100%)] Step: 6.9K | Data (t): 0.245 Batch (t): 1.293, 3102.54/s, 1551.27/s/gpu Logit Scale: 26.160 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.385 (-10.703) Joint_loss: 13.409 (12.726) Cross_loss: 2.0233 (2.0230) Image_lambda_loss: 0.21460 (0.14964) Text_lambda_loss: 0.24258 (0.18645) | L_updates: 19 | z_beta: 0.03044818699548535, model_beta: 0.99 | -2025-01-24,06:14:55 | INFO | Starting zero-shot imagenet. -2025-01-24,06:14:55 | INFO | Building zero-shot classifier -2025-01-24,06:15:02 | INFO | Using classifier -2025-01-24,06:16:05 | INFO | Finished zero-shot imagenet. -2025-01-24,06:16:13 | INFO | Eval Epoch: 3 [1990 / 205824] Clip Loss: 2.866408 -2025-01-24,06:16:45 | INFO | Eval Epoch: 3 imagenet-zeroshot-val-top1: 0.1075 imagenet-zeroshot-val-top5: 0.2667 image_to_text_mean_rank: 100.4238 image_to_text_median_rank: 8.0000 image_to_text_R@1: 0.2404 image_to_text_R@5: 0.4434 image_to_text_R@10: 0.5381 text_to_image_mean_rank: 111.1303 text_to_image_median_rank: 8.0000 text_to_image_R@1: 0.2302 text_to_image_R@5: 0.4370 text_to_image_R@10: 0.5346 clip_val_loss: 2.7791 epoch: 3.0000 num_samples: 8678.0000 -2025-01-24,06:16:47 | INFO | Start epoch 3 -2025-01-24,06:16:57 | INFO | Train Epoch: 3 [ 3980/9193800 (0%)] Step: 6.9K | Data (t): 9.187 Batch (t): 10.328, 385.350/s, 192.675/s/gpu Logit Scale: 26.162 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.632 (-11.632) Joint_loss: 13.660 (13.660) Cross_loss: 2.0275 (2.0275) Image_lambda_loss: 0.20559 (0.20559) Text_lambda_loss: 0.24786 (0.24786) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:19:09 | INFO | Train Epoch: 3 [ 401980/9193800 (4%)] Step: 7.0K | Data (t): 0.211 Batch (t): 1.316, 3205.07/s, 1602.53/s/gpu Logit Scale: 26.428 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.421 (-11.527) Joint_loss: 13.451 (13.556) Cross_loss: 2.0302 (2.0288) Image_lambda_loss: 0.22180 (0.21370) Text_lambda_loss: 0.24787 (0.24786) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:21:21 | INFO | Train Epoch: 3 [ 799980/9193800 (9%)] Step: 7.1K | Data (t): 0.244 Batch (t): 1.319, 3116.15/s, 1558.07/s/gpu Logit Scale: 26.675 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.872 (-11.642) Joint_loss: 13.908 (13.673) Cross_loss: 2.0366 (2.0314) Image_lambda_loss: 0.24002 (0.22247) Text_lambda_loss: 0.26955 (0.25509) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:23:34 | INFO | Train Epoch: 3 [1197980/9193800 (13%)] Step: 7.2K | Data (t): 0.264 Batch (t): 1.331, 2819.28/s, 1409.64/s/gpu Logit Scale: 26.918 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.374 (-11.575) Joint_loss: 13.378 (13.599) Cross_loss: 2.0035 (2.0244) Image_lambda_loss: 0.22540 (0.22320) Text_lambda_loss: 0.28721 (0.26312) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:25:46 | INFO | Train Epoch: 3 [1595980/9193800 (17%)] Step: 7.3K | Data (t): 0.244 Batch (t): 1.326, 2802.99/s, 1401.49/s/gpu Logit Scale: 27.171 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.124 (-11.485) Joint_loss: 13.134 (13.506) Cross_loss: 2.0094 (2.0214) Image_lambda_loss: 0.26104 (0.23077) Text_lambda_loss: 0.27531 (0.26556) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:27:58 | INFO | Train Epoch: 3 [1993980/9193800 (22%)] Step: 7.4K | Data (t): 0.243 Batch (t): 1.319, 3112.49/s, 1556.25/s/gpu Logit Scale: 27.422 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.460 (-11.481) Joint_loss: 13.470 (13.500) Cross_loss: 2.0093 (2.0194) Image_lambda_loss: 0.24852 (0.23373) Text_lambda_loss: 0.27327 (0.26685) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:30:09 | INFO | Train Epoch: 3 [2391980/9193800 (26%)] Step: 7.5K | Data (t): 0.231 Batch (t): 1.311, 2521.18/s, 1260.59/s/gpu Logit Scale: 27.680 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.299 (-11.455) Joint_loss: 13.329 (13.476) Cross_loss: 2.0297 (2.0209) Image_lambda_loss: 0.25414 (0.23664) Text_lambda_loss: 0.29441 (0.27078) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:32:21 | INFO | Train Epoch: 3 [2789980/9193800 (30%)] Step: 7.6K | Data (t): 0.227 Batch (t): 1.320, 3163.65/s, 1581.83/s/gpu Logit Scale: 27.938 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.058 (-11.405) Joint_loss: 13.065 (13.424) Cross_loss: 2.0074 (2.0192) Image_lambda_loss: 0.22920 (0.23571) Text_lambda_loss: 0.28708 (0.27282) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:34:32 | INFO | Train Epoch: 3 [3187980/9193800 (35%)] Step: 7.7K | Data (t): 0.235 Batch (t): 1.302, 3028.28/s, 1514.14/s/gpu Logit Scale: 28.197 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.521 (-11.418) Joint_loss: 13.543 (13.438) Cross_loss: 2.0226 (2.0196) Image_lambda_loss: 0.27717 (0.24032) Text_lambda_loss: 0.29822 (0.27564) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:36:42 | INFO | Train Epoch: 3 [3585980/9193800 (39%)] Step: 7.8K | Data (t): 0.237 Batch (t): 1.308, 2881.23/s, 1440.62/s/gpu Logit Scale: 28.462 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.598 (-11.436) Joint_loss: 13.623 (13.456) Cross_loss: 2.0250 (2.0201) Image_lambda_loss: 0.27295 (0.24358) Text_lambda_loss: 0.29227 (0.27730) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:38:54 | INFO | Train Epoch: 3 [3983980/9193800 (43%)] Step: 7.9K | Data (t): 0.244 Batch (t): 1.316, 3178.92/s, 1589.46/s/gpu Logit Scale: 28.725 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.568 (-11.448) Joint_loss: 13.586 (13.468) Cross_loss: 2.0180 (2.0199) Image_lambda_loss: 0.27602 (0.24653) Text_lambda_loss: 0.31759 (0.28097) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:41:06 | INFO | Train Epoch: 3 [4381980/9193800 (48%)] Step: 8.0K | Data (t): 0.248 Batch (t): 1.316, 2925.63/s, 1462.81/s/gpu Logit Scale: 28.994 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.249 (-11.431) Joint_loss: 13.259 (13.450) Cross_loss: 2.0092 (2.0190) Image_lambda_loss: 0.28118 (0.24942) Text_lambda_loss: 0.33911 (0.28581) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:43:21 | INFO | Train Epoch: 3 [4779980/9193800 (52%)] Step: 8.1K | Data (t): 0.266 Batch (t): 1.357, 2571.55/s, 1285.77/s/gpu Logit Scale: 29.266 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.469 (-11.434) Joint_loss: 13.484 (13.453) Cross_loss: 2.0143 (2.0187) Image_lambda_loss: 0.30066 (0.25336) Text_lambda_loss: 0.30459 (0.28726) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:45:40 | INFO | Train Epoch: 3 [5177980/9193800 (56%)] Step: 8.2K | Data (t): 0.281 Batch (t): 1.382, 3120.02/s, 1560.01/s/gpu Logit Scale: 29.533 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.374 (-11.430) Joint_loss: 13.369 (13.447) Cross_loss: 1.9948 (2.0170) Image_lambda_loss: 0.29408 (0.25627) Text_lambda_loss: 0.34701 (0.29153) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:47:59 | INFO | Train Epoch: 3 [5575980/9193800 (61%)] Step: 8.3K | Data (t): 0.298 Batch (t): 1.390, 2790.55/s, 1395.28/s/gpu Logit Scale: 29.804 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.408 (-11.429) Joint_loss: 13.416 (13.445) Cross_loss: 2.0081 (2.0164) Image_lambda_loss: 0.29834 (0.25907) Text_lambda_loss: 0.33870 (0.29467) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:50:18 | INFO | Train Epoch: 3 [5973980/9193800 (65%)] Step: 8.4K | Data (t): 0.302 Batch (t): 1.392, 2830.93/s, 1415.46/s/gpu Logit Scale: 30.069 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.618 (-11.440) Joint_loss: 13.617 (13.456) Cross_loss: 1.9985 (2.0153) Image_lambda_loss: 0.29519 (0.26133) Text_lambda_loss: 0.35685 (0.29856) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:52:36 | INFO | Train Epoch: 3 [6371980/9193800 (69%)] Step: 8.5K | Data (t): 0.300 Batch (t): 1.384, 2801.03/s, 1400.52/s/gpu Logit Scale: 30.337 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.907 (-11.468) Joint_loss: 13.920 (13.483) Cross_loss: 2.0135 (2.0152) Image_lambda_loss: 0.33768 (0.26582) Text_lambda_loss: 0.36410 (0.30241) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:54:55 | INFO | Train Epoch: 3 [6769980/9193800 (74%)] Step: 8.6K | Data (t): 0.300 Batch (t): 1.390, 2964.53/s, 1482.26/s/gpu Logit Scale: 30.612 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.004 (-11.498) Joint_loss: 14.021 (13.513) Cross_loss: 2.0173 (2.0153) Image_lambda_loss: 0.34700 (0.27033) Text_lambda_loss: 0.38446 (0.30697) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:57:12 | INFO | Train Epoch: 3 [7167980/9193800 (78%)] Step: 8.7K | Data (t): 0.289 Batch (t): 1.372, 3056.90/s, 1528.45/s/gpu Logit Scale: 30.888 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.706 (-11.509) Joint_loss: 13.703 (13.523) Cross_loss: 1.9968 (2.0143) Image_lambda_loss: 0.33001 (0.27347) Text_lambda_loss: 0.32613 (0.30798) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,06:59:31 | INFO | Train Epoch: 3 [7565980/9193800 (82%)] Step: 8.8K | Data (t): 0.290 Batch (t): 1.384, 2598.58/s, 1299.29/s/gpu Logit Scale: 31.163 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.563 (-11.511) Joint_loss: 13.557 (13.525) Cross_loss: 1.9947 (2.0133) Image_lambda_loss: 0.30402 (0.27500) Text_lambda_loss: 0.33131 (0.30914) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,07:01:48 | INFO | Train Epoch: 3 [7963980/9193800 (87%)] Step: 8.9K | Data (t): 0.305 Batch (t): 1.377, 2909.44/s, 1454.72/s/gpu Logit Scale: 31.436 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -11.620 (-11.516) Joint_loss: 13.609 (13.529) Cross_loss: 1.9897 (2.0122) Image_lambda_loss: 0.34487 (0.27833) Text_lambda_loss: 0.39345 (0.31316) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,07:04:05 | INFO | Train Epoch: 3 [8361980/9193800 (91%)] Step: 9.0K | Data (t): 0.277 Batch (t): 1.365, 2963.94/s, 1481.97/s/gpu Logit Scale: 31.741 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.538 (-11.563) Joint_loss: 14.555 (13.575) Cross_loss: 2.0172 (2.0124) Image_lambda_loss: 0.37424 (0.28269) Text_lambda_loss: 0.41883 (0.31796) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,07:06:23 | INFO | Train Epoch: 3 [8759980/9193800 (95%)] Step: 9.1K | Data (t): 0.303 Batch (t): 1.377, 2789.35/s, 1394.67/s/gpu Logit Scale: 32.034 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.301 (-11.595) Joint_loss: 14.297 (13.607) Cross_loss: 1.9956 (2.0117) Image_lambda_loss: 0.36877 (0.28643) Text_lambda_loss: 0.41916 (0.32236) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,07:08:39 | INFO | Train Epoch: 3 [9157980/9193800 (100%)] Step: 9.2K | Data (t): 0.292 Batch (t): 1.359, 2962.28/s, 1481.14/s/gpu Logit Scale: 32.300 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.371 (-11.627) Joint_loss: 14.399 (13.640) Cross_loss: 2.0283 (2.0124) Image_lambda_loss: 0.36527 (0.28972) Text_lambda_loss: 0.42650 (0.32670) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,07:08:50 | INFO | Train Epoch: 3 [9193800/9193800 (100%)] Step: 9.2K | Data (t): 0.261 Batch (t): 1.326, 2873.34/s, 1436.67/s/gpu Logit Scale: 32.324 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.657 (-11.669) Joint_loss: 14.668 (13.681) Cross_loss: 2.0110 (2.0123) Image_lambda_loss: 0.42340 (0.29506) Text_lambda_loss: 0.47383 (0.33259) | L_updates: 19 | z_beta: 0.0674121550789819, model_beta: 0.99 | -2025-01-24,07:08:50 | INFO | Starting zero-shot imagenet. -2025-01-24,07:08:50 | INFO | Building zero-shot classifier -2025-01-24,07:08:58 | INFO | Using classifier -2025-01-24,07:09:59 | INFO | Finished zero-shot imagenet. -2025-01-24,07:10:07 | INFO | Eval Epoch: 4 [1990 / 205824] Clip Loss: 2.445125 -2025-01-24,07:10:39 | INFO | Eval Epoch: 4 imagenet-zeroshot-val-top1: 0.1387 imagenet-zeroshot-val-top5: 0.3223 image_to_text_mean_rank: 73.3951 image_to_text_median_rank: 5.0000 image_to_text_R@1: 0.3026 image_to_text_R@5: 0.5283 image_to_text_R@10: 0.6173 text_to_image_mean_rank: 84.1144 text_to_image_median_rank: 5.0000 text_to_image_R@1: 0.2853 text_to_image_R@5: 0.5230 text_to_image_R@10: 0.6147 clip_val_loss: 2.3622 epoch: 4.0000 num_samples: 8678.0000 -2025-01-24,07:10:41 | INFO | Start epoch 4 -2025-01-24,07:10:51 | INFO | Train Epoch: 4 [ 3980/9193800 (0%)] Step: 9.2K | Data (t): 8.899 Batch (t): 10.016, 397.355/s, 198.678/s/gpu Logit Scale: 32.327 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.046 (-13.046) Joint_loss: 15.073 (15.073) Cross_loss: 2.0267 (2.0267) Image_lambda_loss: 0.38819 (0.38819) Text_lambda_loss: 0.42701 (0.42701) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:13:04 | INFO | Train Epoch: 4 [ 401980/9193800 (4%)] Step: 9.3K | Data (t): 0.237 Batch (t): 1.332, 2726.52/s, 1363.26/s/gpu Logit Scale: 32.610 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.376 (-13.211) Joint_loss: 15.415 (15.244) Cross_loss: 2.0390 (2.0329) Image_lambda_loss: 0.40380 (0.39599) Text_lambda_loss: 0.48958 (0.45829) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:15:18 | INFO | Train Epoch: 4 [ 799980/9193800 (9%)] Step: 9.4K | Data (t): 0.279 Batch (t): 1.344, 3179.76/s, 1589.88/s/gpu Logit Scale: 32.874 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.029 (-13.150) Joint_loss: 15.053 (15.180) Cross_loss: 2.0238 (2.0298) Image_lambda_loss: 0.40644 (0.39947) Text_lambda_loss: 0.45699 (0.45786) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:17:31 | INFO | Train Epoch: 4 [1197980/9193800 (13%)] Step: 9.5K | Data (t): 0.258 Batch (t): 1.323, 2827.91/s, 1413.96/s/gpu Logit Scale: 33.103 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.499 (-12.988) Joint_loss: 14.514 (15.014) Cross_loss: 2.0149 (2.0261) Image_lambda_loss: 0.38101 (0.39486) Text_lambda_loss: 0.42976 (0.45084) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:19:43 | INFO | Train Epoch: 4 [1595980/9193800 (17%)] Step: 9.6K | Data (t): 0.261 Batch (t): 1.327, 3331.98/s, 1665.99/s/gpu Logit Scale: 33.327 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.624 (-12.915) Joint_loss: 14.643 (14.939) Cross_loss: 2.0181 (2.0245) Image_lambda_loss: 0.45987 (0.40786) Text_lambda_loss: 0.54349 (0.46937) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:21:57 | INFO | Train Epoch: 4 [1993980/9193800 (22%)] Step: 9.7K | Data (t): 0.270 Batch (t): 1.335, 2738.50/s, 1369.25/s/gpu Logit Scale: 33.413 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.891 (-12.911) Joint_loss: 14.909 (14.934) Cross_loss: 2.0173 (2.0233) Image_lambda_loss: 0.39916 (0.40641) Text_lambda_loss: 0.45170 (0.46642) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:24:13 | INFO | Train Epoch: 4 [2391980/9193800 (26%)] Step: 9.8K | Data (t): 0.293 Batch (t): 1.363, 3001.08/s, 1500.54/s/gpu Logit Scale: 33.500 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.886 (-12.907) Joint_loss: 14.888 (14.928) Cross_loss: 2.0025 (2.0203) Image_lambda_loss: 0.42046 (0.40842) Text_lambda_loss: 0.42554 (0.46058) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:26:28 | INFO | Train Epoch: 4 [2789980/9193800 (30%)] Step: 9.9K | Data (t): 0.276 Batch (t): 1.345, 3053.69/s, 1526.84/s/gpu Logit Scale: 33.592 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.732 (-12.886) Joint_loss: 14.735 (14.904) Cross_loss: 2.0029 (2.0182) Image_lambda_loss: 0.38892 (0.40598) Text_lambda_loss: 0.45803 (0.46026) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:28:44 | INFO | Train Epoch: 4 [3187980/9193800 (35%)] Step: 10.0K | Data (t): 0.289 Batch (t): 1.359, 2859.21/s, 1429.60/s/gpu Logit Scale: 33.687 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.927 (-12.890) Joint_loss: 14.934 (14.907) Cross_loss: 2.0070 (2.0169) Image_lambda_loss: 0.39658 (0.40494) Text_lambda_loss: 0.51117 (0.46592) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:30:58 | INFO | Train Epoch: 4 [3585980/9193800 (39%)] Step: 10.1K | Data (t): 0.274 Batch (t): 1.341, 3328.32/s, 1664.16/s/gpu Logit Scale: 33.777 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.026 (-12.904) Joint_loss: 15.039 (14.920) Cross_loss: 2.0132 (2.0165) Image_lambda_loss: 0.38014 (0.40246) Text_lambda_loss: 0.48788 (0.46811) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:33:10 | INFO | Train Epoch: 4 [3983980/9193800 (43%)] Step: 10.2K | Data (t): 0.257 Batch (t): 1.327, 3022.41/s, 1511.21/s/gpu Logit Scale: 33.863 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.306 (-12.849) Joint_loss: 14.324 (14.866) Cross_loss: 2.0184 (2.0167) Image_lambda_loss: 0.39510 (0.40179) Text_lambda_loss: 0.45790 (0.46719) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:35:26 | INFO | Train Epoch: 4 [4381980/9193800 (48%)] Step: 10.3K | Data (t): 0.288 Batch (t): 1.353, 2796.47/s, 1398.23/s/gpu Logit Scale: 33.956 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.494 (-12.820) Joint_loss: 14.473 (14.833) Cross_loss: 1.9798 (2.0136) Image_lambda_loss: 0.35107 (0.39756) Text_lambda_loss: 0.43424 (0.46444) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:37:41 | INFO | Train Epoch: 4 [4779980/9193800 (52%)] Step: 10.4K | Data (t): 0.287 Batch (t): 1.356, 2927.32/s, 1463.66/s/gpu Logit Scale: 34.050 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.603 (-12.803) Joint_loss: 14.587 (14.814) Cross_loss: 1.9836 (2.0113) Image_lambda_loss: 0.36532 (0.39508) Text_lambda_loss: 0.50000 (0.46718) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:39:57 | INFO | Train Epoch: 4 [5177980/9193800 (56%)] Step: 10.5K | Data (t): 0.286 Batch (t): 1.357, 2956.44/s, 1478.22/s/gpu Logit Scale: 34.138 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.823 (-12.804) Joint_loss: 14.817 (14.815) Cross_loss: 1.9946 (2.0101) Image_lambda_loss: 0.40949 (0.39611) Text_lambda_loss: 0.50229 (0.46968) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:42:15 | INFO | Train Epoch: 4 [5575980/9193800 (61%)] Step: 10.6K | Data (t): 0.310 Batch (t): 1.379, 2852.68/s, 1426.34/s/gpu Logit Scale: 34.230 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.934 (-12.813) Joint_loss: 14.939 (14.823) Cross_loss: 2.0052 (2.0098) Image_lambda_loss: 0.37752 (0.39487) Text_lambda_loss: 0.43440 (0.46733) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:44:30 | INFO | Train Epoch: 4 [5973980/9193800 (65%)] Step: 10.7K | Data (t): 0.292 Batch (t): 1.356, 3013.49/s, 1506.74/s/gpu Logit Scale: 34.318 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.977 (-12.823) Joint_loss: 14.982 (14.833) Cross_loss: 2.0050 (2.0095) Image_lambda_loss: 0.44232 (0.39784) Text_lambda_loss: 0.49501 (0.46906) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:46:46 | INFO | Train Epoch: 4 [6371980/9193800 (69%)] Step: 10.8K | Data (t): 0.297 Batch (t): 1.358, 2911.32/s, 1455.66/s/gpu Logit Scale: 34.411 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.869 (-12.826) Joint_loss: 14.871 (14.835) Cross_loss: 2.0023 (2.0091) Image_lambda_loss: 0.41573 (0.39889) Text_lambda_loss: 0.48186 (0.46981) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:49:01 | INFO | Train Epoch: 4 [6769980/9193800 (74%)] Step: 10.9K | Data (t): 0.290 Batch (t): 1.350, 2968.97/s, 1484.48/s/gpu Logit Scale: 34.500 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.783 (-12.824) Joint_loss: 14.798 (14.833) Cross_loss: 2.0151 (2.0094) Image_lambda_loss: 0.41131 (0.39958) Text_lambda_loss: 0.49054 (0.47097) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:51:15 | INFO | Train Epoch: 4 [7167980/9193800 (78%)] Step: 11.0K | Data (t): 0.277 Batch (t): 1.336, 3175.91/s, 1587.95/s/gpu Logit Scale: 34.593 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.994 (-12.833) Joint_loss: 15.007 (14.842) Cross_loss: 2.0135 (2.0096) Image_lambda_loss: 0.41591 (0.40044) Text_lambda_loss: 0.47262 (0.47105) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:53:31 | INFO | Train Epoch: 4 [7565980/9193800 (82%)] Step: 11.1K | Data (t): 0.291 Batch (t): 1.357, 2877.75/s, 1438.87/s/gpu Logit Scale: 34.688 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.302 (-12.856) Joint_loss: 15.299 (14.865) Cross_loss: 1.9969 (2.0090) Image_lambda_loss: 0.44435 (0.40263) Text_lambda_loss: 0.57168 (0.47608) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:55:47 | INFO | Train Epoch: 4 [7963980/9193800 (87%)] Step: 11.2K | Data (t): 0.298 Batch (t): 1.364, 2827.38/s, 1413.69/s/gpu Logit Scale: 34.782 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -12.965 (-12.861) Joint_loss: 14.976 (14.870) Cross_loss: 2.0110 (2.0091) Image_lambda_loss: 0.44869 (0.40483) Text_lambda_loss: 0.47467 (0.47602) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,07:57:57 | INFO | Train Epoch: 4 [8361980/9193800 (91%)] Step: 11.3K | Data (t): 0.200 Batch (t): 1.300, 3142.23/s, 1571.12/s/gpu Logit Scale: 34.890 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.598 (-12.895) Joint_loss: 15.609 (14.904) Cross_loss: 2.0107 (2.0092) Image_lambda_loss: 0.52092 (0.41010) Text_lambda_loss: 0.58519 (0.48098) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,08:00:13 | INFO | Train Epoch: 4 [8759980/9193800 (95%)] Step: 11.4K | Data (t): 0.299 Batch (t): 1.362, 3040.49/s, 1520.24/s/gpu Logit Scale: 34.998 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.850 (-12.936) Joint_loss: 15.835 (14.944) Cross_loss: 1.9851 (2.0081) Image_lambda_loss: 0.48859 (0.41352) Text_lambda_loss: 0.55330 (0.48412) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,08:02:29 | INFO | Train Epoch: 4 [9157980/9193800 (100%)] Step: 11.5K | Data (t): 0.284 Batch (t): 1.355, 2817.49/s, 1408.74/s/gpu Logit Scale: 35.104 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.830 (-12.974) Joint_loss: 15.829 (14.981) Cross_loss: 1.9987 (2.0077) Image_lambda_loss: 0.47578 (0.41611) Text_lambda_loss: 0.54439 (0.48664) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,08:02:41 | INFO | Train Epoch: 4 [9193800/9193800 (100%)] Step: 11.5K | Data (t): 0.270 Batch (t): 1.338, 2935.12/s, 1467.56/s/gpu Logit Scale: 35.113 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.735 (-13.004) Joint_loss: 15.748 (15.012) Cross_loss: 2.0136 (2.0080) Image_lambda_loss: 0.46863 (0.41821) Text_lambda_loss: 0.54220 (0.48886) | L_updates: 19 | z_beta: 0.11715728752538102, model_beta: 0.99 | -2025-01-24,08:02:41 | INFO | Starting zero-shot imagenet. -2025-01-24,08:02:41 | INFO | Building zero-shot classifier -2025-01-24,08:02:48 | INFO | Using classifier -2025-01-24,08:03:51 | INFO | Finished zero-shot imagenet. -2025-01-24,08:04:00 | INFO | Eval Epoch: 5 [1990 / 205824] Clip Loss: 2.182405 -2025-01-24,08:04:32 | INFO | Eval Epoch: 5 imagenet-zeroshot-val-top1: 0.1701 imagenet-zeroshot-val-top5: 0.3721 image_to_text_mean_rank: 58.9752 image_to_text_median_rank: 3.0000 image_to_text_R@1: 0.3522 image_to_text_R@5: 0.5880 image_to_text_R@10: 0.6769 text_to_image_mean_rank: 67.5378 text_to_image_median_rank: 3.0000 text_to_image_R@1: 0.3502 text_to_image_R@5: 0.5847 text_to_image_R@10: 0.6707 clip_val_loss: 2.0652 epoch: 5.0000 num_samples: 8678.0000 -2025-01-24,08:04:34 | INFO | Start epoch 5 -2025-01-24,08:04:44 | INFO | Train Epoch: 5 [ 3980/9193800 (0%)] Step: 11.6K | Data (t): 9.109 Batch (t): 10.236, 388.835/s, 194.417/s/gpu Logit Scale: 35.114 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.616 (-13.616) Joint_loss: 15.589 (15.589) Cross_loss: 1.9737 (1.9737) Image_lambda_loss: 0.48473 (0.48473) Text_lambda_loss: 0.53942 (0.53942) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:06:54 | INFO | Train Epoch: 5 [ 401980/9193800 (4%)] Step: 11.7K | Data (t): 0.207 Batch (t): 1.300, 3078.22/s, 1539.11/s/gpu Logit Scale: 35.222 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.406 (-14.011) Joint_loss: 16.422 (16.006) Cross_loss: 2.0162 (1.9950) Image_lambda_loss: 0.56498 (0.52486) Text_lambda_loss: 0.60409 (0.57175) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:09:07 | INFO | Train Epoch: 5 [ 799980/9193800 (9%)] Step: 11.8K | Data (t): 0.250 Batch (t): 1.327, 2880.57/s, 1440.29/s/gpu Logit Scale: 35.319 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.166 (-14.063) Joint_loss: 16.148 (16.053) Cross_loss: 1.9816 (1.9905) Image_lambda_loss: 0.48048 (0.51006) Text_lambda_loss: 0.55679 (0.56676) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:11:20 | INFO | Train Epoch: 5 [1197980/9193800 (13%)] Step: 11.8K | Data (t): 0.269 Batch (t): 1.330, 3230.04/s, 1615.02/s/gpu Logit Scale: 35.412 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.700 (-13.972) Joint_loss: 15.682 (15.960) Cross_loss: 1.9819 (1.9884) Image_lambda_loss: 0.52481 (0.51375) Text_lambda_loss: 0.61863 (0.57973) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:13:34 | INFO | Train Epoch: 5 [1595980/9193800 (17%)] Step: 11.9K | Data (t): 0.273 Batch (t): 1.337, 2905.44/s, 1452.72/s/gpu Logit Scale: 35.502 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.337 (-14.045) Joint_loss: 16.340 (16.036) Cross_loss: 2.0031 (1.9913) Image_lambda_loss: 0.54392 (0.51978) Text_lambda_loss: 0.59954 (0.58369) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:15:46 | INFO | Train Epoch: 5 [1993980/9193800 (22%)] Step: 12.1K | Data (t): 0.265 Batch (t): 1.327, 2904.34/s, 1452.17/s/gpu Logit Scale: 35.591 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.069 (-14.049) Joint_loss: 16.076 (16.043) Cross_loss: 2.0076 (1.9940) Image_lambda_loss: 0.52002 (0.51982) Text_lambda_loss: 0.61432 (0.58880) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:17:58 | INFO | Train Epoch: 5 [2391980/9193800 (26%)] Step: 12.2K | Data (t): 0.261 Batch (t): 1.320, 3307.02/s, 1653.51/s/gpu Logit Scale: 35.685 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.212 (-14.072) Joint_loss: 16.242 (16.072) Cross_loss: 2.0303 (1.9992) Image_lambda_loss: 0.55759 (0.52522) Text_lambda_loss: 0.60512 (0.59113) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:20:12 | INFO | Train Epoch: 5 [2789980/9193800 (30%)] Step: 12.2K | Data (t): 0.272 Batch (t): 1.335, 2970.41/s, 1485.21/s/gpu Logit Scale: 35.779 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.603 (-14.014) Joint_loss: 15.601 (16.013) Cross_loss: 1.9979 (1.9991) Image_lambda_loss: 0.55017 (0.52834) Text_lambda_loss: 0.58679 (0.59059) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:22:28 | INFO | Train Epoch: 5 [3187980/9193800 (35%)] Step: 12.3K | Data (t): 0.301 Batch (t): 1.364, 2878.09/s, 1439.05/s/gpu Logit Scale: 35.873 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.987 (-14.011) Joint_loss: 16.009 (16.012) Cross_loss: 2.0222 (2.0016) Image_lambda_loss: 0.51984 (0.52739) Text_lambda_loss: 0.58914 (0.59043) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:24:44 | INFO | Train Epoch: 5 [3585980/9193800 (39%)] Step: 12.4K | Data (t): 0.292 Batch (t): 1.359, 3173.88/s, 1586.94/s/gpu Logit Scale: 35.969 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.966 (-14.006) Joint_loss: 15.964 (16.008) Cross_loss: 1.9975 (2.0012) Image_lambda_loss: 0.49780 (0.52443) Text_lambda_loss: 0.56074 (0.58746) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:27:00 | INFO | Train Epoch: 5 [3983980/9193800 (43%)] Step: 12.6K | Data (t): 0.292 Batch (t): 1.357, 2930.37/s, 1465.19/s/gpu Logit Scale: 36.062 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.868 (-13.994) Joint_loss: 15.858 (15.994) Cross_loss: 1.9900 (2.0002) Image_lambda_loss: 0.54187 (0.52602) Text_lambda_loss: 0.61457 (0.58992) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:29:15 | INFO | Train Epoch: 5 [4381980/9193800 (48%)] Step: 12.7K | Data (t): 0.294 Batch (t): 1.355, 2874.09/s, 1437.04/s/gpu Logit Scale: 36.156 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.913 (-13.987) Joint_loss: 15.918 (15.988) Cross_loss: 2.0050 (2.0006) Image_lambda_loss: 0.53097 (0.52643) Text_lambda_loss: 0.59738 (0.59054) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:31:31 | INFO | Train Epoch: 5 [4779980/9193800 (52%)] Step: 12.8K | Data (t): 0.296 Batch (t): 1.360, 2930.93/s, 1465.47/s/gpu Logit Scale: 36.256 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.941 (-13.983) Joint_loss: 15.937 (15.984) Cross_loss: 1.9957 (2.0002) Image_lambda_loss: 0.58446 (0.53090) Text_lambda_loss: 0.66159 (0.59601) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:33:46 | INFO | Train Epoch: 5 [5177980/9193800 (56%)] Step: 12.8K | Data (t): 0.287 Batch (t): 1.351, 2897.62/s, 1448.81/s/gpu Logit Scale: 36.345 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.730 (-13.965) Joint_loss: 15.729 (15.965) Cross_loss: 1.9986 (2.0001) Image_lambda_loss: 0.53447 (0.53115) Text_lambda_loss: 0.63966 (0.59913) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:36:03 | INFO | Train Epoch: 5 [5575980/9193800 (61%)] Step: 12.9K | Data (t): 0.292 Batch (t): 1.362, 2845.51/s, 1422.76/s/gpu Logit Scale: 36.442 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.120 (-13.976) Joint_loss: 16.135 (15.977) Cross_loss: 2.0141 (2.0010) Image_lambda_loss: 0.58722 (0.53489) Text_lambda_loss: 0.65582 (0.60291) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:38:16 | INFO | Train Epoch: 5 [5973980/9193800 (65%)] Step: 13.1K | Data (t): 0.275 Batch (t): 1.334, 3041.08/s, 1520.54/s/gpu Logit Scale: 36.531 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.901 (-13.971) Joint_loss: 15.902 (15.972) Cross_loss: 2.0003 (2.0010) Image_lambda_loss: 0.50894 (0.53327) Text_lambda_loss: 0.62086 (0.60403) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:40:31 | INFO | Train Epoch: 5 [6371980/9193800 (69%)] Step: 13.2K | Data (t): 0.286 Batch (t): 1.354, 3057.10/s, 1528.55/s/gpu Logit Scale: 36.625 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.167 (-13.983) Joint_loss: 16.205 (15.986) Cross_loss: 2.0380 (2.0032) Image_lambda_loss: 0.54381 (0.53389) Text_lambda_loss: 0.66042 (0.60734) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:42:47 | INFO | Train Epoch: 5 [6769980/9193800 (74%)] Step: 13.2K | Data (t): 0.279 Batch (t): 1.357, 3052.72/s, 1526.36/s/gpu Logit Scale: 36.722 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -13.711 (-13.967) Joint_loss: 15.702 (15.970) Cross_loss: 1.9903 (2.0024) Image_lambda_loss: 0.50385 (0.53222) Text_lambda_loss: 0.56477 (0.60498) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:44:59 | INFO | Train Epoch: 5 [7167980/9193800 (78%)] Step: 13.3K | Data (t): 0.251 Batch (t): 1.320, 3290.48/s, 1645.24/s/gpu Logit Scale: 36.811 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.283 (-13.984) Joint_loss: 16.294 (15.987) Cross_loss: 2.0107 (2.0029) Image_lambda_loss: 0.53541 (0.53239) Text_lambda_loss: 0.58853 (0.60411) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:47:09 | INFO | Train Epoch: 5 [7565980/9193800 (82%)] Step: 13.4K | Data (t): 0.236 Batch (t): 1.295, 3113.86/s, 1556.93/s/gpu Logit Scale: 36.903 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.256 (-13.998) Joint_loss: 16.268 (16.001) Cross_loss: 2.0125 (2.0034) Image_lambda_loss: 0.54471 (0.53300) Text_lambda_loss: 0.61366 (0.60459) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:49:18 | INFO | Train Epoch: 5 [7963980/9193800 (87%)] Step: 13.6K | Data (t): 0.234 Batch (t): 1.296, 2864.92/s, 1432.46/s/gpu Logit Scale: 37.000 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.234 (-14.009) Joint_loss: 16.255 (16.013) Cross_loss: 2.0205 (2.0042) Image_lambda_loss: 0.57479 (0.53499) Text_lambda_loss: 0.70896 (0.60956) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:51:24 | INFO | Train Epoch: 5 [8361980/9193800 (91%)] Step: 13.7K | Data (t): 0.189 Batch (t): 1.254, 3176.02/s, 1588.01/s/gpu Logit Scale: 37.114 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.696 (-14.040) Joint_loss: 16.684 (16.044) Cross_loss: 1.9877 (2.0034) Image_lambda_loss: 0.59762 (0.53784) Text_lambda_loss: 0.67839 (0.61269) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:53:32 | INFO | Train Epoch: 5 [8759980/9193800 (95%)] Step: 13.8K | Data (t): 0.225 Batch (t): 1.280, 3291.40/s, 1645.70/s/gpu Logit Scale: 37.228 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.988 (-14.081) Joint_loss: 16.974 (16.084) Cross_loss: 1.9863 (2.0027) Image_lambda_loss: 0.61197 (0.54106) Text_lambda_loss: 0.74303 (0.61836) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:55:39 | INFO | Train Epoch: 5 [9157980/9193800 (100%)] Step: 13.8K | Data (t): 0.225 Batch (t): 1.272, 3017.23/s, 1508.61/s/gpu Logit Scale: 37.337 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.787 (-14.111) Joint_loss: 16.779 (16.113) Cross_loss: 1.9926 (2.0023) Image_lambda_loss: 0.66663 (0.54629) Text_lambda_loss: 0.73591 (0.62325) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:55:50 | INFO | Train Epoch: 5 [9193800/9193800 (100%)] Step: 13.9K | Data (t): 0.212 Batch (t): 1.244, 3106.26/s, 1553.13/s/gpu Logit Scale: 37.347 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.040 (-14.148) Joint_loss: 17.049 (16.150) Cross_loss: 2.0088 (2.0025) Image_lambda_loss: 0.61382 (0.54899) Text_lambda_loss: 0.72007 (0.62713) | L_updates: 19 | z_beta: 0.17777190679215915, model_beta: 0.99 | -2025-01-24,08:55:50 | INFO | Starting zero-shot imagenet. -2025-01-24,08:55:50 | INFO | Building zero-shot classifier -2025-01-24,08:55:57 | INFO | Using classifier -2025-01-24,08:57:02 | INFO | Finished zero-shot imagenet. -2025-01-24,08:57:09 | INFO | Eval Epoch: 6 [1990 / 205824] Clip Loss: 1.965420 -2025-01-24,08:57:41 | INFO | Eval Epoch: 6 imagenet-zeroshot-val-top1: 0.1911 imagenet-zeroshot-val-top5: 0.4046 image_to_text_mean_rank: 47.6995 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.3919 image_to_text_R@5: 0.6272 image_to_text_R@10: 0.7127 text_to_image_mean_rank: 57.0711 text_to_image_median_rank: 3.0000 text_to_image_R@1: 0.3843 text_to_image_R@5: 0.6273 text_to_image_R@10: 0.7145 clip_val_loss: 1.8584 epoch: 6.0000 num_samples: 8678.0000 -2025-01-24,08:57:43 | INFO | Start epoch 6 -2025-01-24,08:57:52 | INFO | Train Epoch: 6 [ 3980/9193800 (0%)] Step: 13.9K | Data (t): 8.562 Batch (t): 9.558, 416.397/s, 208.199/s/gpu Logit Scale: 37.348 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.413 (-15.413) Joint_loss: 17.435 (17.435) Cross_loss: 2.0216 (2.0216) Image_lambda_loss: 0.67701 (0.67701) Text_lambda_loss: 0.75782 (0.75782) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,08:59:59 | INFO | Train Epoch: 6 [ 401980/9193800 (4%)] Step: 14.0K | Data (t): 0.188 Batch (t): 1.269, 3126.86/s, 1563.43/s/gpu Logit Scale: 37.474 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.203 (-15.808) Joint_loss: 18.226 (17.830) Cross_loss: 2.0227 (2.0222) Image_lambda_loss: 0.71346 (0.69524) Text_lambda_loss: 0.68719 (0.72250) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:02:07 | INFO | Train Epoch: 6 [ 799980/9193800 (9%)] Step: 14.1K | Data (t): 0.226 Batch (t): 1.280, 3182.91/s, 1591.45/s/gpu Logit Scale: 37.567 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.977 (-15.531) Joint_loss: 16.979 (17.546) Cross_loss: 2.0019 (2.0154) Image_lambda_loss: 0.65936 (0.68328) Text_lambda_loss: 0.75753 (0.73418) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:04:17 | INFO | Train Epoch: 6 [1197980/9193800 (13%)] Step: 14.2K | Data (t): 0.239 Batch (t): 1.297, 3335.89/s, 1667.95/s/gpu Logit Scale: 37.660 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.316 (-15.477) Joint_loss: 17.334 (17.493) Cross_loss: 2.0183 (2.0161) Image_lambda_loss: 0.68807 (0.68448) Text_lambda_loss: 0.69945 (0.72550) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:06:29 | INFO | Train Epoch: 6 [1595980/9193800 (17%)] Step: 14.3K | Data (t): 0.266 Batch (t): 1.325, 2828.34/s, 1414.17/s/gpu Logit Scale: 37.746 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.074 (-15.397) Joint_loss: 17.089 (17.412) Cross_loss: 2.0145 (2.0158) Image_lambda_loss: 0.68812 (0.68520) Text_lambda_loss: 0.79214 (0.73883) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:08:42 | INFO | Train Epoch: 6 [1993980/9193800 (22%)] Step: 14.4K | Data (t): 0.279 Batch (t): 1.328, 3033.50/s, 1516.75/s/gpu Logit Scale: 37.839 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.088 (-15.345) Joint_loss: 17.103 (17.361) Cross_loss: 2.0147 (2.0156) Image_lambda_loss: 0.64315 (0.67820) Text_lambda_loss: 0.71009 (0.73404) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:10:55 | INFO | Train Epoch: 6 [2391980/9193800 (26%)] Step: 14.5K | Data (t): 0.276 Batch (t): 1.331, 3060.60/s, 1530.30/s/gpu Logit Scale: 37.933 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.042 (-15.302) Joint_loss: 17.026 (17.313) Cross_loss: 1.9836 (2.0110) Image_lambda_loss: 0.63501 (0.67203) Text_lambda_loss: 0.66752 (0.72454) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:13:08 | INFO | Train Epoch: 6 [2789980/9193800 (30%)] Step: 14.6K | Data (t): 0.279 Batch (t): 1.328, 2837.86/s, 1418.93/s/gpu Logit Scale: 38.021 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.170 (-15.286) Joint_loss: 17.191 (17.298) Cross_loss: 2.0206 (2.0122) Image_lambda_loss: 0.69654 (0.67509) Text_lambda_loss: 0.77945 (0.73140) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:15:22 | INFO | Train Epoch: 6 [3187980/9193800 (35%)] Step: 14.7K | Data (t): 0.281 Batch (t): 1.339, 3098.05/s, 1549.03/s/gpu Logit Scale: 38.118 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.868 (-15.239) Joint_loss: 16.872 (17.250) Cross_loss: 2.0031 (2.0112) Image_lambda_loss: 0.64670 (0.67194) Text_lambda_loss: 0.73426 (0.73172) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:17:35 | INFO | Train Epoch: 6 [3585980/9193800 (39%)] Step: 14.8K | Data (t): 0.278 Batch (t): 1.336, 2982.40/s, 1491.20/s/gpu Logit Scale: 38.217 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.990 (-15.214) Joint_loss: 16.987 (17.224) Cross_loss: 1.9973 (2.0098) Image_lambda_loss: 0.63020 (0.66776) Text_lambda_loss: 0.79490 (0.73804) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:19:47 | INFO | Train Epoch: 6 [3983980/9193800 (43%)] Step: 14.9K | Data (t): 0.261 Batch (t): 1.315, 3094.96/s, 1547.48/s/gpu Logit Scale: 38.309 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.166 (-15.210) Joint_loss: 17.177 (17.220) Cross_loss: 2.0110 (2.0099) Image_lambda_loss: 0.65189 (0.66632) Text_lambda_loss: 0.75138 (0.73925) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:21:58 | INFO | Train Epoch: 6 [4381980/9193800 (48%)] Step: 15.0K | Data (t): 0.256 Batch (t): 1.311, 3206.83/s, 1603.42/s/gpu Logit Scale: 38.398 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.191 (-15.208) Joint_loss: 17.187 (17.217) Cross_loss: 1.9967 (2.0088) Image_lambda_loss: 0.67737 (0.66724) Text_lambda_loss: 0.72561 (0.73811) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:24:10 | INFO | Train Epoch: 6 [4779980/9193800 (52%)] Step: 15.1K | Data (t): 0.272 Batch (t): 1.315, 3123.88/s, 1561.94/s/gpu Logit Scale: 38.491 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.368 (-15.221) Joint_loss: 17.401 (17.231) Cross_loss: 2.0335 (2.0107) Image_lambda_loss: 0.69021 (0.66901) Text_lambda_loss: 0.78956 (0.74207) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:26:21 | INFO | Train Epoch: 6 [5177980/9193800 (56%)] Step: 15.2K | Data (t): 0.266 Batch (t): 1.315, 3135.50/s, 1567.75/s/gpu Logit Scale: 38.583 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.699 (-15.255) Joint_loss: 17.716 (17.266) Cross_loss: 2.0168 (2.0112) Image_lambda_loss: 0.69550 (0.67090) Text_lambda_loss: 0.80535 (0.74659) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:28:31 | INFO | Train Epoch: 6 [5575980/9193800 (61%)] Step: 15.3K | Data (t): 0.250 Batch (t): 1.297, 3108.83/s, 1554.42/s/gpu Logit Scale: 38.671 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.014 (-15.239) Joint_loss: 17.018 (17.249) Cross_loss: 2.0037 (2.0107) Image_lambda_loss: 0.63763 (0.66868) Text_lambda_loss: 0.71009 (0.74416) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:30:41 | INFO | Train Epoch: 6 [5973980/9193800 (65%)] Step: 15.4K | Data (t): 0.245 Batch (t): 1.298, 3032.13/s, 1516.07/s/gpu Logit Scale: 38.753 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.917 (-15.219) Joint_loss: 16.913 (17.228) Cross_loss: 1.9963 (2.0098) Image_lambda_loss: 0.65919 (0.66809) Text_lambda_loss: 0.70977 (0.74201) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:32:50 | INFO | Train Epoch: 6 [6371980/9193800 (69%)] Step: 15.5K | Data (t): 0.243 Batch (t): 1.293, 3079.15/s, 1539.58/s/gpu Logit Scale: 38.830 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.923 (-15.201) Joint_loss: 16.923 (17.210) Cross_loss: 1.9992 (2.0091) Image_lambda_loss: 0.66664 (0.66800) Text_lambda_loss: 0.70164 (0.73963) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:34:59 | INFO | Train Epoch: 6 [6769980/9193800 (74%)] Step: 15.6K | Data (t): 0.227 Batch (t): 1.293, 3044.05/s, 1522.02/s/gpu Logit Scale: 38.908 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.034 (-15.192) Joint_loss: 17.040 (17.201) Cross_loss: 2.0055 (2.0089) Image_lambda_loss: 0.59628 (0.66402) Text_lambda_loss: 0.77287 (0.74148) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:37:12 | INFO | Train Epoch: 6 [7167980/9193800 (78%)] Step: 15.7K | Data (t): 0.281 Batch (t): 1.331, 3084.92/s, 1542.46/s/gpu Logit Scale: 38.991 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.141 (-15.189) Joint_loss: 17.143 (17.198) Cross_loss: 2.0020 (2.0086) Image_lambda_loss: 0.75718 (0.66892) Text_lambda_loss: 0.77552 (0.74327) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:39:24 | INFO | Train Epoch: 6 [7565980/9193800 (82%)] Step: 15.8K | Data (t): 0.268 Batch (t): 1.318, 2909.30/s, 1454.65/s/gpu Logit Scale: 39.078 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.251 (-15.192) Joint_loss: 17.298 (17.203) Cross_loss: 2.0468 (2.0105) Image_lambda_loss: 0.72662 (0.67181) Text_lambda_loss: 0.79299 (0.74576) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:41:34 | INFO | Train Epoch: 6 [7963980/9193800 (87%)] Step: 15.9K | Data (t): 0.248 Batch (t): 1.299, 2914.72/s, 1457.36/s/gpu Logit Scale: 39.155 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -14.947 (-15.181) Joint_loss: 16.954 (17.191) Cross_loss: 2.0070 (2.0103) Image_lambda_loss: 0.61840 (0.66926) Text_lambda_loss: 0.74586 (0.74576) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:43:42 | INFO | Train Epoch: 6 [8361980/9193800 (91%)] Step: 16.0K | Data (t): 0.205 Batch (t): 1.279, 3266.66/s, 1633.33/s/gpu Logit Scale: 39.278 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.277 (-15.231) Joint_loss: 18.292 (17.241) Cross_loss: 2.0156 (2.0106) Image_lambda_loss: 0.75710 (0.67326) Text_lambda_loss: 0.83688 (0.74990) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:45:51 | INFO | Train Epoch: 6 [8759980/9193800 (95%)] Step: 16.1K | Data (t): 0.240 Batch (t): 1.289, 3325.68/s, 1662.84/s/gpu Logit Scale: 39.395 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.154 (-15.271) Joint_loss: 18.153 (17.281) Cross_loss: 1.9992 (2.0101) Image_lambda_loss: 0.70679 (0.67471) Text_lambda_loss: 0.78915 (0.75161) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:48:00 | INFO | Train Epoch: 6 [9157980/9193800 (100%)] Step: 16.2K | Data (t): 0.236 Batch (t): 1.288, 3353.55/s, 1676.77/s/gpu Logit Scale: 39.506 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.418 (-15.318) Joint_loss: 18.427 (17.328) Cross_loss: 2.0086 (2.0100) Image_lambda_loss: 0.75010 (0.67786) Text_lambda_loss: 0.79428 (0.75339) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:48:11 | INFO | Train Epoch: 6 [9193800/9193800 (100%)] Step: 16.2K | Data (t): 0.186 Batch (t): 1.227, 3154.42/s, 1577.21/s/gpu Logit Scale: 39.517 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.554 (-15.368) Joint_loss: 18.583 (17.379) Cross_loss: 2.0290 (2.0108) Image_lambda_loss: 0.74750 (0.68064) Text_lambda_loss: 0.78366 (0.75460) | L_updates: 19 | z_beta: 0.24692662705396407, model_beta: 0.99 | -2025-01-24,09:48:11 | INFO | Starting zero-shot imagenet. -2025-01-24,09:48:11 | INFO | Building zero-shot classifier -2025-01-24,09:48:18 | INFO | Using classifier -2025-01-24,09:49:22 | INFO | Finished zero-shot imagenet. -2025-01-24,09:49:29 | INFO | Eval Epoch: 7 [1990 / 205824] Clip Loss: 1.880050 -2025-01-24,09:50:01 | INFO | Eval Epoch: 7 imagenet-zeroshot-val-top1: 0.2073 imagenet-zeroshot-val-top5: 0.4246 image_to_text_mean_rank: 44.8390 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4135 image_to_text_R@5: 0.6419 image_to_text_R@10: 0.7307 text_to_image_mean_rank: 53.8437 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4082 text_to_image_R@5: 0.6427 text_to_image_R@10: 0.7221 clip_val_loss: 1.7821 epoch: 7.0000 num_samples: 8678.0000 -2025-01-24,09:50:03 | INFO | Start epoch 7 -2025-01-24,09:50:12 | INFO | Train Epoch: 7 [ 3980/9193800 (0%)] Step: 16.2K | Data (t): 8.438 Batch (t): 9.437, 421.748/s, 210.874/s/gpu Logit Scale: 39.518 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.456 (-16.456) Joint_loss: 18.484 (18.484) Cross_loss: 2.0287 (2.0287) Image_lambda_loss: 0.75244 (0.75244) Text_lambda_loss: 0.89015 (0.89015) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,09:52:24 | INFO | Train Epoch: 7 [ 401980/9193800 (4%)] Step: 16.3K | Data (t): 0.223 Batch (t): 1.320, 3247.31/s, 1623.65/s/gpu Logit Scale: 39.637 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.660 (-16.558) Joint_loss: 18.694 (18.589) Cross_loss: 2.0340 (2.0314) Image_lambda_loss: 0.80720 (0.77982) Text_lambda_loss: 0.83576 (0.86295) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,09:54:35 | INFO | Train Epoch: 7 [ 799980/9193800 (9%)] Step: 16.4K | Data (t): 0.228 Batch (t): 1.307, 2703.02/s, 1351.51/s/gpu Logit Scale: 39.741 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.330 (-16.482) Joint_loss: 18.321 (18.500) Cross_loss: 1.9909 (2.0179) Image_lambda_loss: 0.73255 (0.76406) Text_lambda_loss: 0.82167 (0.84919) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,09:56:47 | INFO | Train Epoch: 7 [1197980/9193800 (13%)] Step: 16.5K | Data (t): 0.268 Batch (t): 1.325, 3083.93/s, 1541.97/s/gpu Logit Scale: 39.845 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.291 (-16.434) Joint_loss: 18.287 (18.447) Cross_loss: 1.9956 (2.0123) Image_lambda_loss: 0.86318 (0.78884) Text_lambda_loss: 0.89459 (0.86054) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,09:59:00 | INFO | Train Epoch: 7 [1595980/9193800 (17%)] Step: 16.6K | Data (t): 0.274 Batch (t): 1.322, 3313.82/s, 1656.91/s/gpu Logit Scale: 39.935 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.254 (-16.398) Joint_loss: 18.247 (18.407) Cross_loss: 1.9930 (2.0085) Image_lambda_loss: 0.80680 (0.79243) Text_lambda_loss: 0.86278 (0.86099) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:01:11 | INFO | Train Epoch: 7 [1993980/9193800 (22%)] Step: 16.7K | Data (t): 0.251 Batch (t): 1.309, 2981.63/s, 1490.82/s/gpu Logit Scale: 40.020 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.985 (-16.329) Joint_loss: 17.990 (18.337) Cross_loss: 2.0051 (2.0079) Image_lambda_loss: 0.78036 (0.79042) Text_lambda_loss: 0.81296 (0.85298) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:03:19 | INFO | Train Epoch: 7 [2391980/9193800 (26%)] Step: 16.8K | Data (t): 0.233 Batch (t): 1.285, 3168.94/s, 1584.47/s/gpu Logit Scale: 40.110 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.873 (-16.264) Joint_loss: 17.877 (18.271) Cross_loss: 2.0037 (2.0073) Image_lambda_loss: 0.82752 (0.79572) Text_lambda_loss: 0.89524 (0.85902) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:05:29 | INFO | Train Epoch: 7 [2789980/9193800 (30%)] Step: 16.9K | Data (t): 0.237 Batch (t): 1.296, 3178.80/s, 1589.40/s/gpu Logit Scale: 40.202 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.960 (-16.226) Joint_loss: 17.964 (18.233) Cross_loss: 2.0045 (2.0069) Image_lambda_loss: 0.76072 (0.79135) Text_lambda_loss: 0.87776 (0.86136) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:07:36 | INFO | Train Epoch: 7 [3187980/9193800 (35%)] Step: 17.0K | Data (t): 0.211 Batch (t): 1.276, 3264.03/s, 1632.01/s/gpu Logit Scale: 40.286 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.737 (-16.172) Joint_loss: 17.740 (18.178) Cross_loss: 2.0028 (2.0065) Image_lambda_loss: 0.83139 (0.79580) Text_lambda_loss: 0.83013 (0.85789) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:09:45 | INFO | Train Epoch: 7 [3585980/9193800 (39%)] Step: 17.1K | Data (t): 0.216 Batch (t): 1.283, 3232.83/s, 1616.41/s/gpu Logit Scale: 40.363 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.822 (-16.137) Joint_loss: 17.819 (18.142) Cross_loss: 1.9971 (2.0055) Image_lambda_loss: 0.78975 (0.79519) Text_lambda_loss: 0.90462 (0.86256) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:11:53 | INFO | Train Epoch: 7 [3983980/9193800 (43%)] Step: 17.2K | Data (t): 0.211 Batch (t): 1.283, 3171.69/s, 1585.85/s/gpu Logit Scale: 40.442 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.144 (-16.137) Joint_loss: 18.155 (18.143) Cross_loss: 2.0109 (2.0060) Image_lambda_loss: 0.79366 (0.79505) Text_lambda_loss: 0.83292 (0.85987) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:14:03 | INFO | Train Epoch: 7 [4381980/9193800 (48%)] Step: 17.3K | Data (t): 0.249 Batch (t): 1.303, 2903.73/s, 1451.87/s/gpu Logit Scale: 40.519 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.378 (-16.157) Joint_loss: 18.380 (18.163) Cross_loss: 2.0025 (2.0057) Image_lambda_loss: 0.71196 (0.78813) Text_lambda_loss: 0.80641 (0.85542) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:16:12 | INFO | Train Epoch: 7 [4779980/9193800 (52%)] Step: 17.4K | Data (t): 0.242 Batch (t): 1.291, 3171.81/s, 1585.90/s/gpu Logit Scale: 40.595 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.048 (-16.149) Joint_loss: 18.083 (18.157) Cross_loss: 2.0343 (2.0079) Image_lambda_loss: 0.79033 (0.78830) Text_lambda_loss: 0.87510 (0.85693) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:18:18 | INFO | Train Epoch: 7 [5177980/9193800 (56%)] Step: 17.5K | Data (t): 0.189 Batch (t): 1.259, 3238.08/s, 1619.04/s/gpu Logit Scale: 40.672 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.968 (-16.136) Joint_loss: 17.977 (18.144) Cross_loss: 2.0093 (2.0080) Image_lambda_loss: 0.81726 (0.79037) Text_lambda_loss: 0.79552 (0.85254) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:20:26 | INFO | Train Epoch: 7 [5575980/9193800 (61%)] Step: 17.6K | Data (t): 0.221 Batch (t): 1.278, 2962.84/s, 1481.42/s/gpu Logit Scale: 40.747 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.940 (-16.123) Joint_loss: 17.921 (18.129) Cross_loss: 1.9803 (2.0062) Image_lambda_loss: 0.79226 (0.79049) Text_lambda_loss: 0.95709 (0.85951) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:22:34 | INFO | Train Epoch: 7 [5973980/9193800 (65%)] Step: 17.7K | Data (t): 0.230 Batch (t): 1.280, 3269.39/s, 1634.69/s/gpu Logit Scale: 40.818 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.336 (-16.136) Joint_loss: 18.355 (18.143) Cross_loss: 2.0190 (2.0070) Image_lambda_loss: 0.71738 (0.78592) Text_lambda_loss: 0.85517 (0.85924) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:24:41 | INFO | Train Epoch: 7 [6371980/9193800 (69%)] Step: 17.8K | Data (t): 0.218 Batch (t): 1.268, 3178.29/s, 1589.14/s/gpu Logit Scale: 40.881 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.797 (-16.116) Joint_loss: 17.779 (18.122) Cross_loss: 1.9823 (2.0055) Image_lambda_loss: 0.76102 (0.78446) Text_lambda_loss: 0.83656 (0.85791) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:26:49 | INFO | Train Epoch: 7 [6769980/9193800 (74%)] Step: 17.9K | Data (t): 0.230 Batch (t): 1.278, 3187.84/s, 1593.92/s/gpu Logit Scale: 40.941 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.184 (-16.120) Joint_loss: 18.183 (18.125) Cross_loss: 1.9991 (2.0052) Image_lambda_loss: 0.74703 (0.78238) Text_lambda_loss: 0.86408 (0.85825) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:28:56 | INFO | Train Epoch: 7 [7167980/9193800 (78%)] Step: 18.0K | Data (t): 0.228 Batch (t): 1.270, 3217.20/s, 1608.60/s/gpu Logit Scale: 41.008 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.783 (-16.102) Joint_loss: 17.799 (18.108) Cross_loss: 2.0156 (2.0057) Image_lambda_loss: 0.81073 (0.78387) Text_lambda_loss: 0.88498 (0.85966) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:31:03 | INFO | Train Epoch: 7 [7565980/9193800 (82%)] Step: 18.1K | Data (t): 0.222 Batch (t): 1.270, 3275.12/s, 1637.56/s/gpu Logit Scale: 41.076 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.907 (-16.093) Joint_loss: 17.920 (18.099) Cross_loss: 2.0126 (2.0061) Image_lambda_loss: 0.80534 (0.78494) Text_lambda_loss: 0.83082 (0.85822) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:33:10 | INFO | Train Epoch: 7 [7963980/9193800 (87%)] Step: 18.2K | Data (t): 0.223 Batch (t): 1.271, 2983.35/s, 1491.68/s/gpu Logit Scale: 41.142 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -15.920 (-16.084) Joint_loss: 17.924 (18.090) Cross_loss: 2.0034 (2.0059) Image_lambda_loss: 0.73511 (0.78257) Text_lambda_loss: 0.82159 (0.85647) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:35:17 | INFO | Train Epoch: 7 [8361980/9193800 (91%)] Step: 18.3K | Data (t): 0.173 Batch (t): 1.267, 3345.93/s, 1672.97/s/gpu Logit Scale: 41.260 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.960 (-16.124) Joint_loss: 18.967 (18.130) Cross_loss: 2.0069 (2.0060) Image_lambda_loss: 0.81039 (0.78384) Text_lambda_loss: 0.95918 (0.86114) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:37:22 | INFO | Train Epoch: 7 [8759980/9193800 (95%)] Step: 18.4K | Data (t): 0.213 Batch (t): 1.255, 3045.95/s, 1522.97/s/gpu Logit Scale: 41.383 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.084 (-16.166) Joint_loss: 19.084 (18.172) Cross_loss: 2.0003 (2.0057) Image_lambda_loss: 0.88376 (0.78818) Text_lambda_loss: 0.96080 (0.86547) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:39:28 | INFO | Train Epoch: 7 [9157980/9193800 (100%)] Step: 18.5K | Data (t): 0.220 Batch (t): 1.262, 3011.46/s, 1505.73/s/gpu Logit Scale: 41.502 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.469 (-16.220) Joint_loss: 19.484 (18.226) Cross_loss: 2.0158 (2.0061) Image_lambda_loss: 0.84317 (0.79047) Text_lambda_loss: 0.94889 (0.86895) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:39:39 | INFO | Train Epoch: 7 [9193800/9193800 (100%)] Step: 18.5K | Data (t): 0.196 Batch (t): 1.224, 3353.47/s, 1676.73/s/gpu Logit Scale: 41.513 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.398 (-16.267) Joint_loss: 19.416 (18.274) Cross_loss: 2.0177 (2.0066) Image_lambda_loss: 0.83907 (0.79242) Text_lambda_loss: 1.0360 (0.87563) | L_updates: 19 | z_beta: 0.32196387119354863, model_beta: 0.99 | -2025-01-24,10:39:39 | INFO | Starting zero-shot imagenet. -2025-01-24,10:39:39 | INFO | Building zero-shot classifier -2025-01-24,10:39:47 | INFO | Using classifier -2025-01-24,10:40:50 | INFO | Finished zero-shot imagenet. -2025-01-24,10:40:58 | INFO | Eval Epoch: 8 [1990 / 205824] Clip Loss: 1.838289 -2025-01-24,10:41:31 | INFO | Eval Epoch: 8 imagenet-zeroshot-val-top1: 0.2148 imagenet-zeroshot-val-top5: 0.4394 image_to_text_mean_rank: 46.6873 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4291 image_to_text_R@5: 0.6616 image_to_text_R@10: 0.7419 text_to_image_mean_rank: 56.3118 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4258 text_to_image_R@5: 0.6546 text_to_image_R@10: 0.7322 clip_val_loss: 1.7503 epoch: 8.0000 num_samples: 8678.0000 -2025-01-24,10:41:32 | INFO | Start epoch 8 -2025-01-24,10:41:42 | INFO | Train Epoch: 8 [ 3980/9193800 (0%)] Step: 18.5K | Data (t): 8.411 Batch (t): 9.502, 418.865/s, 209.432/s/gpu Logit Scale: 41.514 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.995 (-18.995) Joint_loss: 20.981 (20.981) Cross_loss: 1.9864 (1.9864) Image_lambda_loss: 0.82635 (0.82635) Text_lambda_loss: 0.86409 (0.86409) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,10:43:57 | INFO | Train Epoch: 8 [ 401980/9193800 (4%)] Step: 18.6K | Data (t): 0.234 Batch (t): 1.355, 2952.08/s, 1476.04/s/gpu Logit Scale: 41.632 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.703 (-18.849) Joint_loss: 20.766 (20.874) Cross_loss: 2.0633 (2.0248) Image_lambda_loss: 0.88717 (0.85676) Text_lambda_loss: 0.97064 (0.91736) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,10:46:12 | INFO | Train Epoch: 8 [ 799980/9193800 (9%)] Step: 18.7K | Data (t): 0.274 Batch (t): 1.350, 2801.37/s, 1400.68/s/gpu Logit Scale: 41.732 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.743 (-18.814) Joint_loss: 20.779 (20.842) Cross_loss: 2.0362 (2.0286) Image_lambda_loss: 0.92984 (0.88112) Text_lambda_loss: 0.99552 (0.94342) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,10:48:30 | INFO | Train Epoch: 8 [1197980/9193800 (13%)] Step: 18.8K | Data (t): 0.289 Batch (t): 1.373, 2918.92/s, 1459.46/s/gpu Logit Scale: 41.827 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.813 (-18.564) Joint_loss: 19.837 (20.591) Cross_loss: 2.0237 (2.0274) Image_lambda_loss: 0.94790 (0.89782) Text_lambda_loss: 1.1158 (0.98651) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,10:50:46 | INFO | Train Epoch: 8 [1595980/9193800 (17%)] Step: 18.9K | Data (t): 0.278 Batch (t): 1.359, 2848.46/s, 1424.23/s/gpu Logit Scale: 41.911 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.380 (-18.327) Joint_loss: 19.384 (20.350) Cross_loss: 2.0037 (2.0226) Image_lambda_loss: 0.86423 (0.89110) Text_lambda_loss: 0.94620 (0.97845) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,10:53:01 | INFO | Train Epoch: 8 [1993980/9193800 (22%)] Step: 19.0K | Data (t): 0.283 Batch (t): 1.357, 2889.01/s, 1444.50/s/gpu Logit Scale: 41.989 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.005 (-18.107) Joint_loss: 19.032 (20.130) Cross_loss: 2.0269 (2.0234) Image_lambda_loss: 0.90399 (0.89325) Text_lambda_loss: 0.98496 (0.97953) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,10:55:16 | INFO | Train Epoch: 8 [2391980/9193800 (26%)] Step: 19.1K | Data (t): 0.266 Batch (t): 1.344, 3160.55/s, 1580.28/s/gpu Logit Scale: 42.083 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.752 (-17.913) Joint_loss: 18.736 (19.931) Cross_loss: 1.9840 (2.0177) Image_lambda_loss: 0.84414 (0.88623) Text_lambda_loss: 0.92310 (0.97147) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,10:57:25 | INFO | Train Epoch: 8 [2789980/9193800 (30%)] Step: 19.2K | Data (t): 0.230 Batch (t): 1.294, 3189.28/s, 1594.64/s/gpu Logit Scale: 42.150 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.115 (-17.813) Joint_loss: 19.115 (19.829) Cross_loss: 2.0002 (2.0155) Image_lambda_loss: 0.85735 (0.88262) Text_lambda_loss: 0.95073 (0.96888) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,10:59:32 | INFO | Train Epoch: 8 [3187980/9193800 (35%)] Step: 19.3K | Data (t): 0.220 Batch (t): 1.274, 3041.73/s, 1520.86/s/gpu Logit Scale: 42.216 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.795 (-17.700) Joint_loss: 18.812 (19.716) Cross_loss: 2.0169 (2.0157) Image_lambda_loss: 0.89760 (0.88429) Text_lambda_loss: 1.0520 (0.97811) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:01:40 | INFO | Train Epoch: 8 [3585980/9193800 (39%)] Step: 19.4K | Data (t): 0.230 Batch (t): 1.276, 3187.53/s, 1593.77/s/gpu Logit Scale: 42.282 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.080 (-17.638) Joint_loss: 19.075 (19.652) Cross_loss: 1.9958 (2.0137) Image_lambda_loss: 0.82124 (0.87798) Text_lambda_loss: 0.97664 (0.97797) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:03:47 | INFO | Train Epoch: 8 [3983980/9193800 (43%)] Step: 19.5K | Data (t): 0.214 Batch (t): 1.268, 3259.67/s, 1629.83/s/gpu Logit Scale: 42.345 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.376 (-17.523) Joint_loss: 18.405 (19.538) Cross_loss: 2.0291 (2.0151) Image_lambda_loss: 0.82909 (0.87354) Text_lambda_loss: 0.84949 (0.96629) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:05:53 | INFO | Train Epoch: 8 [4381980/9193800 (48%)] Step: 19.6K | Data (t): 0.211 Batch (t): 1.265, 3151.48/s, 1575.74/s/gpu Logit Scale: 42.395 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.306 (-17.422) Joint_loss: 18.307 (19.436) Cross_loss: 2.0017 (2.0140) Image_lambda_loss: 0.90222 (0.87593) Text_lambda_loss: 0.95583 (0.96541) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:07:59 | INFO | Train Epoch: 8 [4779980/9193800 (52%)] Step: 19.7K | Data (t): 0.211 Batch (t): 1.258, 3349.11/s, 1674.55/s/gpu Logit Scale: 42.458 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.613 (-17.360) Joint_loss: 18.607 (19.372) Cross_loss: 1.9938 (2.0124) Image_lambda_loss: 0.89246 (0.87720) Text_lambda_loss: 0.91446 (0.96150) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:10:05 | INFO | Train Epoch: 8 [5177980/9193800 (56%)] Step: 19.8K | Data (t): 0.210 Batch (t): 1.259, 3242.90/s, 1621.45/s/gpu Logit Scale: 42.517 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.453 (-17.295) Joint_loss: 18.447 (19.306) Cross_loss: 1.9940 (2.0111) Image_lambda_loss: 0.88014 (0.87741) Text_lambda_loss: 1.0120 (0.96510) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:12:12 | INFO | Train Epoch: 8 [5575980/9193800 (61%)] Step: 19.9K | Data (t): 0.214 Batch (t): 1.267, 3068.63/s, 1534.31/s/gpu Logit Scale: 42.563 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.488 (-17.241) Joint_loss: 18.501 (19.252) Cross_loss: 2.0123 (2.0112) Image_lambda_loss: 0.85430 (0.87587) Text_lambda_loss: 0.91968 (0.96207) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:14:19 | INFO | Train Epoch: 8 [5973980/9193800 (65%)] Step: 20.0K | Data (t): 0.215 Batch (t): 1.267, 3261.20/s, 1630.60/s/gpu Logit Scale: 42.617 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.625 (-17.203) Joint_loss: 18.680 (19.217) Cross_loss: 2.0550 (2.0139) Image_lambda_loss: 0.89618 (0.87714) Text_lambda_loss: 0.99449 (0.96410) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:16:25 | INFO | Train Epoch: 8 [6371980/9193800 (69%)] Step: 20.1K | Data (t): 0.211 Batch (t): 1.262, 3269.13/s, 1634.56/s/gpu Logit Scale: 42.662 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.579 (-17.166) Joint_loss: 18.568 (19.178) Cross_loss: 1.9893 (2.0125) Image_lambda_loss: 0.74488 (0.86936) Text_lambda_loss: 0.88307 (0.95933) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:18:31 | INFO | Train Epoch: 8 [6769980/9193800 (74%)] Step: 20.2K | Data (t): 0.209 Batch (t): 1.259, 3276.19/s, 1638.09/s/gpu Logit Scale: 42.714 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.838 (-17.148) Joint_loss: 18.868 (19.161) Cross_loss: 2.0297 (2.0135) Image_lambda_loss: 0.85398 (0.86850) Text_lambda_loss: 1.0455 (0.96412) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:20:37 | INFO | Train Epoch: 8 [7167980/9193800 (78%)] Step: 20.3K | Data (t): 0.204 Batch (t): 1.260, 3211.32/s, 1605.66/s/gpu Logit Scale: 42.766 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.790 (-17.129) Joint_loss: 18.813 (19.143) Cross_loss: 2.0239 (2.0140) Image_lambda_loss: 0.84038 (0.86702) Text_lambda_loss: 0.92035 (0.96181) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:22:42 | INFO | Train Epoch: 8 [7565980/9193800 (82%)] Step: 20.4K | Data (t): 0.211 Batch (t): 1.257, 3152.36/s, 1576.18/s/gpu Logit Scale: 42.801 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.714 (-17.108) Joint_loss: 18.743 (19.123) Cross_loss: 2.0296 (2.0148) Image_lambda_loss: 0.88802 (0.86807) Text_lambda_loss: 0.96957 (0.96220) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:24:48 | INFO | Train Epoch: 8 [7963980/9193800 (87%)] Step: 20.5K | Data (t): 0.197 Batch (t): 1.253, 3263.78/s, 1631.89/s/gpu Logit Scale: 42.850 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.561 (-17.082) Joint_loss: 18.577 (19.097) Cross_loss: 2.0166 (2.0149) Image_lambda_loss: 0.84539 (0.86699) Text_lambda_loss: 1.0269 (0.96528) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:26:50 | INFO | Train Epoch: 8 [8361980/9193800 (91%)] Step: 20.6K | Data (t): 0.177 Batch (t): 1.227, 3306.04/s, 1653.02/s/gpu Logit Scale: 42.955 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.937 (-17.121) Joint_loss: 19.948 (19.136) Cross_loss: 2.0115 (2.0147) Image_lambda_loss: 0.91938 (0.86937) Text_lambda_loss: 1.0146 (0.96752) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:28:56 | INFO | Train Epoch: 8 [8759980/9193800 (95%)] Step: 20.7K | Data (t): 0.212 Batch (t): 1.261, 3146.59/s, 1573.30/s/gpu Logit Scale: 43.069 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.288 (-17.128) Joint_loss: 19.291 (19.142) Cross_loss: 2.0038 (2.0142) Image_lambda_loss: 0.92386 (0.87174) Text_lambda_loss: 1.0242 (0.96999) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:31:03 | INFO | Train Epoch: 8 [9157980/9193800 (100%)] Step: 20.8K | Data (t): 0.210 Batch (t): 1.268, 3075.47/s, 1537.73/s/gpu Logit Scale: 43.175 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.668 (-17.151) Joint_loss: 19.676 (19.165) Cross_loss: 2.0085 (2.0140) Image_lambda_loss: 0.93698 (0.87446) Text_lambda_loss: 1.0197 (0.97206) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:31:14 | INFO | Train Epoch: 8 [9193800/9193800 (100%)] Step: 20.8K | Data (t): 0.191 Batch (t): 1.242, 3075.84/s, 1537.92/s/gpu Logit Scale: 43.185 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.093 (-17.188) Joint_loss: 20.093 (19.202) Cross_loss: 2.0007 (2.0135) Image_lambda_loss: 0.83645 (0.87294) Text_lambda_loss: 0.97836 (0.97231) | L_updates: 19 | z_beta: 0.4, model_beta: 0.99 | -2025-01-24,11:31:14 | INFO | Starting zero-shot imagenet. -2025-01-24,11:31:14 | INFO | Building zero-shot classifier -2025-01-24,11:31:22 | INFO | Using classifier -2025-01-24,11:32:24 | INFO | Finished zero-shot imagenet. -2025-01-24,11:32:32 | INFO | Eval Epoch: 9 [1990 / 205824] Clip Loss: 1.784162 -2025-01-24,11:33:03 | INFO | Eval Epoch: 9 imagenet-zeroshot-val-top1: 0.2190 imagenet-zeroshot-val-top5: 0.4472 image_to_text_mean_rank: 44.8520 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4428 image_to_text_R@5: 0.6746 image_to_text_R@10: 0.7554 text_to_image_mean_rank: 53.9169 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4375 text_to_image_R@5: 0.6725 text_to_image_R@10: 0.7497 clip_val_loss: 1.6920 epoch: 9.0000 num_samples: 8678.0000 -2025-01-24,11:33:05 | INFO | Start epoch 9 -2025-01-24,11:33:14 | INFO | Train Epoch: 9 [ 3980/9193800 (0%)] Step: 20.8K | Data (t): 8.444 Batch (t): 9.486, 419.552/s, 209.776/s/gpu Logit Scale: 43.186 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.571 (-19.571) Joint_loss: 21.643 (21.643) Cross_loss: 2.0714 (2.0714) Image_lambda_loss: 1.0620 (1.0620) Text_lambda_loss: 1.2073 (1.2073) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,11:35:20 | INFO | Train Epoch: 9 [ 401980/9193800 (4%)] Step: 20.9K | Data (t): 0.159 Batch (t): 1.256, 3083.06/s, 1541.53/s/gpu Logit Scale: 43.313 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.491 (-19.031) Joint_loss: 20.502 (21.072) Cross_loss: 2.0108 (2.0411) Image_lambda_loss: 0.99924 (1.0306) Text_lambda_loss: 1.2046 (1.2059) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,11:37:28 | INFO | Train Epoch: 9 [ 799980/9193800 (9%)] Step: 21.0K | Data (t): 0.221 Batch (t): 1.282, 3235.41/s, 1617.70/s/gpu Logit Scale: 43.415 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.785 (-18.949) Joint_loss: 20.826 (20.990) Cross_loss: 2.0415 (2.0413) Image_lambda_loss: 1.0858 (1.0490) Text_lambda_loss: 1.2507 (1.2209) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,11:39:35 | INFO | Train Epoch: 9 [1197980/9193800 (13%)] Step: 21.1K | Data (t): 0.213 Batch (t): 1.267, 2968.72/s, 1484.36/s/gpu Logit Scale: 43.504 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.549 (-18.599) Joint_loss: 19.553 (20.631) Cross_loss: 2.0044 (2.0320) Image_lambda_loss: 0.94891 (1.0240) Text_lambda_loss: 1.0219 (1.1711) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,11:41:41 | INFO | Train Epoch: 9 [1595980/9193800 (17%)] Step: 21.2K | Data (t): 0.206 Batch (t): 1.259, 3042.58/s, 1521.29/s/gpu Logit Scale: 43.586 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.806 (-18.440) Joint_loss: 19.796 (20.464) Cross_loss: 1.9895 (2.0235) Image_lambda_loss: 0.86317 (0.99183) Text_lambda_loss: 0.97609 (1.1321) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,11:43:47 | INFO | Train Epoch: 9 [1993980/9193800 (22%)] Step: 21.3K | Data (t): 0.212 Batch (t): 1.263, 2811.23/s, 1405.61/s/gpu Logit Scale: 43.674 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.535 (-18.290) Joint_loss: 19.547 (20.311) Cross_loss: 2.0123 (2.0216) Image_lambda_loss: 1.1464 (1.0176) Text_lambda_loss: 1.2156 (1.1460) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,11:45:53 | INFO | Train Epoch: 9 [2391980/9193800 (26%)] Step: 21.4K | Data (t): 0.215 Batch (t): 1.262, 3153.15/s, 1576.58/s/gpu Logit Scale: 43.745 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.427 (-18.166) Joint_loss: 19.393 (20.180) Cross_loss: 1.9658 (2.0137) Image_lambda_loss: 0.86639 (0.99599) Text_lambda_loss: 0.99091 (1.1239) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,11:48:00 | INFO | Train Epoch: 9 [2789980/9193800 (30%)] Step: 21.5K | Data (t): 0.220 Batch (t): 1.271, 3192.01/s, 1596.00/s/gpu Logit Scale: 43.813 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.687 (-18.106) Joint_loss: 19.710 (20.121) Cross_loss: 2.0226 (2.0148) Image_lambda_loss: 0.89935 (0.98391) Text_lambda_loss: 1.0896 (1.1196) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,11:50:07 | INFO | Train Epoch: 9 [3187980/9193800 (35%)] Step: 21.6K | Data (t): 0.201 Batch (t): 1.266, 3224.47/s, 1612.24/s/gpu Logit Scale: 43.866 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.607 (-18.051) Joint_loss: 19.631 (20.067) Cross_loss: 2.0233 (2.0157) Image_lambda_loss: 0.96362 (0.98166) Text_lambda_loss: 1.1408 (1.1220) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,11:52:17 | INFO | Train Epoch: 9 [3585980/9193800 (39%)] Step: 21.7K | Data (t): 0.228 Batch (t): 1.298, 3196.02/s, 1598.01/s/gpu Logit Scale: 43.927 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.295 (-17.975) Joint_loss: 19.352 (19.995) Cross_loss: 2.0571 (2.0199) Image_lambda_loss: 1.0477 (0.98827) Text_lambda_loss: 1.0748 (1.1172) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,11:54:27 | INFO | Train Epoch: 9 [3983980/9193800 (43%)] Step: 21.8K | Data (t): 0.246 Batch (t): 1.304, 3115.53/s, 1557.76/s/gpu Logit Scale: 43.972 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.560 (-17.938) Joint_loss: 19.563 (19.956) Cross_loss: 2.0030 (2.0183) Image_lambda_loss: 0.93103 (0.98306) Text_lambda_loss: 1.0819 (1.1140) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,11:56:36 | INFO | Train Epoch: 9 [4381980/9193800 (48%)] Step: 21.9K | Data (t): 0.233 Batch (t): 1.288, 2891.89/s, 1445.95/s/gpu Logit Scale: 44.022 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.136 (-17.871) Joint_loss: 19.148 (19.889) Cross_loss: 2.0116 (2.0178) Image_lambda_loss: 0.92483 (0.97821) Text_lambda_loss: 1.0764 (1.1109) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,11:58:44 | INFO | Train Epoch: 9 [4779980/9193800 (52%)] Step: 22.0K | Data (t): 0.231 Batch (t): 1.279, 3196.96/s, 1598.48/s/gpu Logit Scale: 44.066 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.413 (-17.836) Joint_loss: 19.403 (19.851) Cross_loss: 1.9898 (2.0156) Image_lambda_loss: 1.0741 (0.98559) Text_lambda_loss: 1.0417 (1.1056) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,12:00:54 | INFO | Train Epoch: 9 [5177980/9193800 (56%)] Step: 22.1K | Data (t): 0.238 Batch (t): 1.300, 3193.63/s, 1596.81/s/gpu Logit Scale: 44.108 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.450 (-17.808) Joint_loss: 19.468 (19.824) Cross_loss: 2.0183 (2.0158) Image_lambda_loss: 1.0027 (0.98681) Text_lambda_loss: 1.0676 (1.1028) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,12:03:02 | INFO | Train Epoch: 9 [5575980/9193800 (61%)] Step: 22.2K | Data (t): 0.230 Batch (t): 1.284, 3120.74/s, 1560.37/s/gpu Logit Scale: 44.153 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.392 (-17.780) Joint_loss: 19.391 (19.795) Cross_loss: 1.9992 (2.0147) Image_lambda_loss: 0.88498 (0.98002) Text_lambda_loss: 1.0726 (1.1008) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,12:05:12 | INFO | Train Epoch: 9 [5973980/9193800 (65%)] Step: 22.3K | Data (t): 0.229 Batch (t): 1.293, 3293.96/s, 1646.98/s/gpu Logit Scale: 44.186 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.064 (-17.736) Joint_loss: 19.087 (19.751) Cross_loss: 2.0227 (2.0152) Image_lambda_loss: 0.88113 (0.97384) Text_lambda_loss: 0.97538 (1.0930) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,12:07:21 | INFO | Train Epoch: 9 [6371980/9193800 (69%)] Step: 22.4K | Data (t): 0.235 Batch (t): 1.291, 3289.61/s, 1644.81/s/gpu Logit Scale: 44.222 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.341 (-17.712) Joint_loss: 19.321 (19.726) Cross_loss: 1.9801 (2.0131) Image_lambda_loss: 0.92273 (0.97083) Text_lambda_loss: 1.0646 (1.0913) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,12:09:30 | INFO | Train Epoch: 9 [6769980/9193800 (74%)] Step: 22.5K | Data (t): 0.235 Batch (t): 1.295, 2876.58/s, 1438.29/s/gpu Logit Scale: 44.259 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.083 (-17.677) Joint_loss: 19.089 (19.690) Cross_loss: 2.0054 (2.0127) Image_lambda_loss: 0.91965 (0.96799) Text_lambda_loss: 1.0073 (1.0867) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,12:11:39 | INFO | Train Epoch: 9 [7167980/9193800 (78%)] Step: 22.6K | Data (t): 0.235 Batch (t): 1.291, 3124.66/s, 1562.33/s/gpu Logit Scale: 44.299 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.231 (-17.654) Joint_loss: 19.247 (19.667) Cross_loss: 2.0162 (2.0129) Image_lambda_loss: 0.87929 (0.96332) Text_lambda_loss: 0.98495 (1.0813) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,12:13:48 | INFO | Train Epoch: 9 [7565980/9193800 (82%)] Step: 22.7K | Data (t): 0.227 Batch (t): 1.292, 2923.71/s, 1461.86/s/gpu Logit Scale: 44.336 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -16.975 (-17.620) Joint_loss: 18.987 (19.633) Cross_loss: 2.0128 (2.0129) Image_lambda_loss: 0.86329 (0.95832) Text_lambda_loss: 1.0170 (1.0781) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,12:16:02 | INFO | Train Epoch: 9 [7963980/9193800 (87%)] Step: 22.8K | Data (t): 0.276 Batch (t): 1.332, 2942.09/s, 1471.05/s/gpu Logit Scale: 44.364 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.684 (-17.623) Joint_loss: 19.679 (19.635) Cross_loss: 1.9947 (2.0120) Image_lambda_loss: 1.0011 (0.96036) Text_lambda_loss: 1.0836 (1.0783) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,12:18:10 | INFO | Train Epoch: 9 [8361980/9193800 (91%)] Step: 22.9K | Data (t): 0.211 Batch (t): 1.279, 3239.44/s, 1619.72/s/gpu Logit Scale: 44.464 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.447 (-17.660) Joint_loss: 20.456 (19.672) Cross_loss: 2.0094 (2.0119) Image_lambda_loss: 1.0796 (0.96578) Text_lambda_loss: 1.1647 (1.0823) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,12:20:20 | INFO | Train Epoch: 9 [8759980/9193800 (95%)] Step: 23.0K | Data (t): 0.251 Batch (t): 1.306, 3129.98/s, 1564.99/s/gpu Logit Scale: 44.579 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.363 (-17.691) Joint_loss: 20.399 (19.704) Cross_loss: 2.0356 (2.0129) Image_lambda_loss: 1.0459 (0.96926) Text_lambda_loss: 1.1016 (1.0831) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,12:22:33 | INFO | Train Epoch: 9 [9157980/9193800 (100%)] Step: 23.1K | Data (t): 0.269 Batch (t): 1.328, 2711.11/s, 1355.56/s/gpu Logit Scale: 44.676 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.346 (-17.718) Joint_loss: 20.344 (19.731) Cross_loss: 1.9986 (2.0123) Image_lambda_loss: 1.0426 (0.97231) Text_lambda_loss: 1.1559 (1.0861) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,12:22:44 | INFO | Train Epoch: 9 [9193800/9193800 (100%)] Step: 23.1K | Data (t): 0.225 Batch (t): 1.271, 3178.03/s, 1589.01/s/gpu Logit Scale: 44.684 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.646 (-17.755) Joint_loss: 20.654 (19.768) Cross_loss: 2.0074 (2.0121) Image_lambda_loss: 0.98459 (0.97281) Text_lambda_loss: 1.1038 (1.0869) | L_updates: 19 | z_beta: 0.4780361288064513, model_beta: 0.99 | -2025-01-24,12:22:44 | INFO | Starting zero-shot imagenet. -2025-01-24,12:22:44 | INFO | Building zero-shot classifier -2025-01-24,12:22:51 | INFO | Using classifier -2025-01-24,12:23:55 | INFO | Finished zero-shot imagenet. -2025-01-24,12:24:02 | INFO | Eval Epoch: 10 [1990 / 205824] Clip Loss: 1.759157 -2025-01-24,12:24:33 | INFO | Eval Epoch: 10 imagenet-zeroshot-val-top1: 0.2217 imagenet-zeroshot-val-top5: 0.4507 image_to_text_mean_rank: 43.7078 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4600 image_to_text_R@5: 0.6846 image_to_text_R@10: 0.7581 text_to_image_mean_rank: 53.5870 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4530 text_to_image_R@5: 0.6824 text_to_image_R@10: 0.7578 clip_val_loss: 1.6596 epoch: 10.0000 num_samples: 8678.0000 -2025-01-24,12:24:35 | INFO | Start epoch 10 -2025-01-24,12:24:46 | INFO | Train Epoch: 10 [ 3980/9193800 (0%)] Step: 23.1K | Data (t): 9.499 Batch (t): 10.512, 378.624/s, 189.312/s/gpu Logit Scale: 44.685 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -21.569 (-21.569) Joint_loss: 23.667 (23.667) Cross_loss: 2.0975 (2.0975) Image_lambda_loss: 0.98562 (0.98562) Text_lambda_loss: 1.1348 (1.1348) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:26:59 | INFO | Train Epoch: 10 [ 401980/9193800 (4%)] Step: 23.2K | Data (t): 0.230 Batch (t): 1.335, 3033.58/s, 1516.79/s/gpu Logit Scale: 44.801 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.051 (-20.810) Joint_loss: 22.099 (22.883) Cross_loss: 2.0475 (2.0725) Image_lambda_loss: 1.1017 (1.0437) Text_lambda_loss: 1.1181 (1.1265) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:29:12 | INFO | Train Epoch: 10 [ 799980/9193800 (9%)] Step: 23.3K | Data (t): 0.274 Batch (t): 1.324, 2966.16/s, 1483.08/s/gpu Logit Scale: 44.910 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.672 (-20.431) Joint_loss: 21.696 (22.487) Cross_loss: 2.0240 (2.0563) Image_lambda_loss: 1.1565 (1.0813) Text_lambda_loss: 1.2218 (1.1583) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:31:24 | INFO | Train Epoch: 10 [1197980/9193800 (13%)] Step: 23.4K | Data (t): 0.268 Batch (t): 1.321, 3158.55/s, 1579.28/s/gpu Logit Scale: 44.992 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.206 (-19.875) Joint_loss: 20.198 (21.915) Cross_loss: 1.9921 (2.0403) Image_lambda_loss: 1.0028 (1.0617) Text_lambda_loss: 1.1789 (1.1634) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:33:37 | INFO | Train Epoch: 10 [1595980/9193800 (17%)] Step: 23.5K | Data (t): 0.276 Batch (t): 1.331, 3240.68/s, 1620.34/s/gpu Logit Scale: 45.075 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.916 (-19.483) Joint_loss: 19.892 (21.510) Cross_loss: 1.9765 (2.0275) Image_lambda_loss: 1.0602 (1.0614) Text_lambda_loss: 1.1659 (1.1639) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:35:47 | INFO | Train Epoch: 10 [1993980/9193800 (22%)] Step: 23.6K | Data (t): 0.265 Batch (t): 1.305, 2938.61/s, 1469.31/s/gpu Logit Scale: 45.147 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.160 (-19.262) Joint_loss: 20.114 (21.277) Cross_loss: 1.9532 (2.0151) Image_lambda_loss: 1.0205 (1.0546) Text_lambda_loss: 1.1319 (1.1586) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:37:58 | INFO | Train Epoch: 10 [2391980/9193800 (26%)] Step: 23.7K | Data (t): 0.270 Batch (t): 1.311, 2937.57/s, 1468.78/s/gpu Logit Scale: 45.204 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.377 (-19.136) Joint_loss: 20.380 (21.149) Cross_loss: 2.0030 (2.0134) Image_lambda_loss: 1.0429 (1.0529) Text_lambda_loss: 1.1109 (1.1518) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:40:10 | INFO | Train Epoch: 10 [2789980/9193800 (30%)] Step: 23.8K | Data (t): 0.274 Batch (t): 1.311, 3206.31/s, 1603.16/s/gpu Logit Scale: 45.246 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.133 (-19.011) Joint_loss: 20.119 (21.020) Cross_loss: 1.9853 (2.0099) Image_lambda_loss: 1.0098 (1.0475) Text_lambda_loss: 1.1418 (1.1505) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:42:22 | INFO | Train Epoch: 10 [3187980/9193800 (35%)] Step: 23.9K | Data (t): 0.286 Batch (t): 1.328, 2948.03/s, 1474.01/s/gpu Logit Scale: 45.301 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.958 (-18.894) Joint_loss: 19.969 (20.904) Cross_loss: 2.0112 (2.0100) Image_lambda_loss: 1.0089 (1.0432) Text_lambda_loss: 1.0956 (1.1444) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:44:31 | INFO | Train Epoch: 10 [3585980/9193800 (39%)] Step: 24.0K | Data (t): 0.237 Batch (t): 1.287, 3143.64/s, 1571.82/s/gpu Logit Scale: 45.332 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.301 (-18.834) Joint_loss: 20.316 (20.845) Cross_loss: 2.0143 (2.0105) Image_lambda_loss: 0.96645 (1.0355) Text_lambda_loss: 1.1609 (1.1461) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:46:42 | INFO | Train Epoch: 10 [3983980/9193800 (43%)] Step: 24.1K | Data (t): 0.232 Batch (t): 1.304, 3212.58/s, 1606.29/s/gpu Logit Scale: 45.374 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.865 (-18.746) Joint_loss: 19.825 (20.752) Cross_loss: 1.9599 (2.0059) Image_lambda_loss: 1.0275 (1.0348) Text_lambda_loss: 1.1019 (1.1421) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:48:53 | INFO | Train Epoch: 10 [4381980/9193800 (48%)] Step: 24.2K | Data (t): 0.248 Batch (t): 1.320, 3022.85/s, 1511.42/s/gpu Logit Scale: 45.405 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.008 (-18.685) Joint_loss: 20.021 (20.691) Cross_loss: 2.0131 (2.0065) Image_lambda_loss: 0.95475 (1.0281) Text_lambda_loss: 1.0704 (1.1361) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:51:01 | INFO | Train Epoch: 10 [4779980/9193800 (52%)] Step: 24.3K | Data (t): 0.221 Batch (t): 1.276, 3256.32/s, 1628.16/s/gpu Logit Scale: 45.427 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.847 (-18.620) Joint_loss: 19.856 (20.627) Cross_loss: 2.0087 (2.0066) Image_lambda_loss: 1.0198 (1.0275) Text_lambda_loss: 1.0710 (1.1311) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:53:08 | INFO | Train Epoch: 10 [5177980/9193800 (56%)] Step: 24.4K | Data (t): 0.222 Batch (t): 1.272, 3267.83/s, 1633.91/s/gpu Logit Scale: 45.464 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.893 (-18.568) Joint_loss: 19.933 (20.577) Cross_loss: 2.0403 (2.0090) Image_lambda_loss: 0.90765 (1.0189) Text_lambda_loss: 0.93991 (1.1174) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:55:16 | INFO | Train Epoch: 10 [5575980/9193800 (61%)] Step: 24.5K | Data (t): 0.225 Batch (t): 1.275, 3050.27/s, 1525.13/s/gpu Logit Scale: 45.494 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.438 (-18.560) Joint_loss: 20.488 (20.571) Cross_loss: 2.0496 (2.0117) Image_lambda_loss: 1.1043 (1.0246) Text_lambda_loss: 1.1826 (1.1218) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:57:23 | INFO | Train Epoch: 10 [5973980/9193800 (65%)] Step: 24.6K | Data (t): 0.226 Batch (t): 1.275, 3278.70/s, 1639.35/s/gpu Logit Scale: 45.513 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.668 (-18.504) Joint_loss: 19.685 (20.516) Cross_loss: 2.0166 (2.0120) Image_lambda_loss: 0.97734 (1.0217) Text_lambda_loss: 0.97500 (1.1126) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,12:59:30 | INFO | Train Epoch: 10 [6371980/9193800 (69%)] Step: 24.7K | Data (t): 0.226 Batch (t): 1.273, 2940.58/s, 1470.29/s/gpu Logit Scale: 45.552 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.825 (-18.464) Joint_loss: 19.844 (20.476) Cross_loss: 2.0186 (2.0124) Image_lambda_loss: 0.95243 (1.0176) Text_lambda_loss: 1.0403 (1.1084) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,13:01:41 | INFO | Train Epoch: 10 [6769980/9193800 (74%)] Step: 24.8K | Data (t): 0.235 Batch (t): 1.309, 3094.81/s, 1547.41/s/gpu Logit Scale: 45.572 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.822 (-18.428) Joint_loss: 19.769 (20.437) Cross_loss: 1.9468 (2.0088) Image_lambda_loss: 0.93445 (1.0130) Text_lambda_loss: 1.2041 (1.1137) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,13:03:58 | INFO | Train Epoch: 10 [7167980/9193800 (78%)] Step: 24.9K | Data (t): 0.279 Batch (t): 1.370, 2951.10/s, 1475.55/s/gpu Logit Scale: 45.584 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.989 (-18.405) Joint_loss: 19.998 (20.414) Cross_loss: 2.0096 (2.0088) Image_lambda_loss: 0.97187 (1.0108) Text_lambda_loss: 1.1007 (1.1130) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,13:06:14 | INFO | Train Epoch: 10 [7565980/9193800 (82%)] Step: 25.0K | Data (t): 0.278 Batch (t): 1.357, 2805.38/s, 1402.69/s/gpu Logit Scale: 45.597 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.808 (-18.375) Joint_loss: 19.843 (20.385) Cross_loss: 2.0349 (2.0101) Image_lambda_loss: 0.94955 (1.0078) Text_lambda_loss: 1.1154 (1.1131) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,13:08:31 | INFO | Train Epoch: 10 [7963980/9193800 (87%)] Step: 25.1K | Data (t): 0.298 Batch (t): 1.374, 2830.85/s, 1415.42/s/gpu Logit Scale: 45.617 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -17.555 (-18.336) Joint_loss: 19.572 (20.347) Cross_loss: 2.0175 (2.0105) Image_lambda_loss: 0.96125 (1.0055) Text_lambda_loss: 1.0629 (1.1107) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,13:10:44 | INFO | Train Epoch: 10 [8361980/9193800 (91%)] Step: 25.2K | Data (t): 0.228 Batch (t): 1.329, 2815.01/s, 1407.50/s/gpu Logit Scale: 45.708 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.612 (-18.349) Joint_loss: 20.586 (20.358) Cross_loss: 1.9741 (2.0088) Image_lambda_loss: 1.0658 (1.0083) Text_lambda_loss: 1.1167 (1.1110) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,13:12:58 | INFO | Train Epoch: 10 [8759980/9193800 (95%)] Step: 25.3K | Data (t): 0.247 Batch (t): 1.338, 2801.60/s, 1400.80/s/gpu Logit Scale: 45.805 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.306 (-18.390) Joint_loss: 21.308 (20.399) Cross_loss: 2.0015 (2.0085) Image_lambda_loss: 1.1561 (1.0147) Text_lambda_loss: 1.2296 (1.1161) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,13:15:12 | INFO | Train Epoch: 10 [9157980/9193800 (100%)] Step: 25.4K | Data (t): 0.271 Batch (t): 1.342, 2736.57/s, 1368.29/s/gpu Logit Scale: 45.902 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.006 (-18.416) Joint_loss: 21.013 (20.425) Cross_loss: 2.0075 (2.0085) Image_lambda_loss: 1.0895 (1.0178) Text_lambda_loss: 1.1829 (1.1189) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,13:15:24 | INFO | Train Epoch: 10 [9193800/9193800 (100%)] Step: 25.4K | Data (t): 0.263 Batch (t): 1.318, 2922.02/s, 1461.01/s/gpu Logit Scale: 45.912 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.157 (-18.446) Joint_loss: 21.176 (20.455) Cross_loss: 2.0190 (2.0089) Image_lambda_loss: 1.1028 (1.0212) Text_lambda_loss: 1.3082 (1.1265) | L_updates: 19 | z_beta: 0.553073372946036, model_beta: 0.99 | -2025-01-24,13:15:24 | INFO | Starting zero-shot imagenet. -2025-01-24,13:15:24 | INFO | Building zero-shot classifier -2025-01-24,13:15:31 | INFO | Using classifier -2025-01-24,13:16:33 | INFO | Finished zero-shot imagenet. -2025-01-24,13:16:41 | INFO | Eval Epoch: 11 [1990 / 205824] Clip Loss: 1.799805 -2025-01-24,13:17:12 | INFO | Eval Epoch: 11 imagenet-zeroshot-val-top1: 0.2260 imagenet-zeroshot-val-top5: 0.4493 image_to_text_mean_rank: 43.7249 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4569 image_to_text_R@5: 0.6809 image_to_text_R@10: 0.7574 text_to_image_mean_rank: 52.8777 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4521 text_to_image_R@5: 0.6820 text_to_image_R@10: 0.7597 clip_val_loss: 1.6796 epoch: 11.0000 num_samples: 8678.0000 -2025-01-24,13:17:13 | INFO | Start epoch 11 -2025-01-24,13:17:23 | INFO | Train Epoch: 11 [ 3980/9193800 (0%)] Step: 25.4K | Data (t): 9.088 Batch (t): 10.103, 393.959/s, 196.979/s/gpu Logit Scale: 45.913 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.500 (-19.500) Joint_loss: 21.466 (21.466) Cross_loss: 1.9663 (1.9663) Image_lambda_loss: 1.2364 (1.2364) Text_lambda_loss: 1.3239 (1.3239) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:19:29 | INFO | Train Epoch: 11 [ 401980/9193800 (4%)] Step: 25.5K | Data (t): 0.219 Batch (t): 1.257, 2941.98/s, 1470.99/s/gpu Logit Scale: 46.025 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.046 (-19.773) Joint_loss: 22.075 (21.770) Cross_loss: 2.0285 (1.9974) Image_lambda_loss: 1.1246 (1.1805) Text_lambda_loss: 1.3276 (1.3257) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:21:37 | INFO | Train Epoch: 11 [ 799980/9193800 (9%)] Step: 25.6K | Data (t): 0.296 Batch (t): 1.282, 3089.29/s, 1544.64/s/gpu Logit Scale: 46.126 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.324 (-19.623) Joint_loss: 21.339 (21.626) Cross_loss: 2.0149 (2.0032) Image_lambda_loss: 1.2383 (1.1998) Text_lambda_loss: 1.3097 (1.3204) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:23:46 | INFO | Train Epoch: 11 [1197980/9193800 (13%)] Step: 25.7K | Data (t): 0.293 Batch (t): 1.289, 3182.29/s, 1591.14/s/gpu Logit Scale: 46.203 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.979 (-19.462) Joint_loss: 21.027 (21.476) Cross_loss: 2.0479 (2.0144) Image_lambda_loss: 1.3254 (1.2312) Text_lambda_loss: 1.2443 (1.3014) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:25:55 | INFO | Train Epoch: 11 [1595980/9193800 (17%)] Step: 25.8K | Data (t): 0.293 Batch (t): 1.285, 3258.56/s, 1629.28/s/gpu Logit Scale: 46.267 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.682 (-19.506) Joint_loss: 21.700 (21.521) Cross_loss: 2.0176 (2.0150) Image_lambda_loss: 1.1595 (1.2169) Text_lambda_loss: 1.2981 (1.3007) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:28:02 | INFO | Train Epoch: 11 [1993980/9193800 (22%)] Step: 25.9K | Data (t): 0.289 Batch (t): 1.274, 2718.91/s, 1359.45/s/gpu Logit Scale: 46.324 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.169 (-19.450) Joint_loss: 21.208 (21.469) Cross_loss: 2.0387 (2.0190) Image_lambda_loss: 1.1749 (1.2099) Text_lambda_loss: 1.2395 (1.2905) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:30:10 | INFO | Train Epoch: 11 [2391980/9193800 (26%)] Step: 26.0K | Data (t): 0.288 Batch (t): 1.281, 3265.71/s, 1632.85/s/gpu Logit Scale: 46.362 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.930 (-19.376) Joint_loss: 20.939 (21.393) Cross_loss: 2.0091 (2.0176) Image_lambda_loss: 1.0152 (1.1821) Text_lambda_loss: 1.1622 (1.2722) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:32:18 | INFO | Train Epoch: 11 [2789980/9193800 (30%)] Step: 26.1K | Data (t): 0.297 Batch (t): 1.282, 2855.37/s, 1427.69/s/gpu Logit Scale: 46.398 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.214 (-19.355) Joint_loss: 21.258 (21.376) Cross_loss: 2.0443 (2.0209) Image_lambda_loss: 1.1789 (1.1817) Text_lambda_loss: 1.2464 (1.2690) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:34:26 | INFO | Train Epoch: 11 [3187980/9193800 (35%)] Step: 26.2K | Data (t): 0.292 Batch (t): 1.275, 3262.65/s, 1631.32/s/gpu Logit Scale: 46.431 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.481 (-19.258) Joint_loss: 20.495 (21.278) Cross_loss: 2.0137 (2.0201) Image_lambda_loss: 1.0656 (1.1688) Text_lambda_loss: 1.1374 (1.2543) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:36:36 | INFO | Train Epoch: 11 [3585980/9193800 (39%)] Step: 26.3K | Data (t): 0.305 Batch (t): 1.295, 3214.93/s, 1607.46/s/gpu Logit Scale: 46.462 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.637 (-19.196) Joint_loss: 20.601 (21.211) Cross_loss: 1.9639 (2.0145) Image_lambda_loss: 1.0958 (1.1615) Text_lambda_loss: 1.1840 (1.2473) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:38:43 | INFO | Train Epoch: 11 [3983980/9193800 (43%)] Step: 26.4K | Data (t): 0.277 Batch (t): 1.273, 3238.36/s, 1619.18/s/gpu Logit Scale: 46.493 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.542 (-19.137) Joint_loss: 20.566 (21.152) Cross_loss: 2.0248 (2.0154) Image_lambda_loss: 1.0711 (1.1533) Text_lambda_loss: 1.0758 (1.2317) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:40:51 | INFO | Train Epoch: 11 [4381980/9193800 (48%)] Step: 26.5K | Data (t): 0.280 Batch (t): 1.278, 3293.88/s, 1646.94/s/gpu Logit Scale: 46.522 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.510 (-19.084) Joint_loss: 20.523 (21.100) Cross_loss: 2.0129 (2.0152) Image_lambda_loss: 1.0433 (1.1441) Text_lambda_loss: 1.1321 (1.2234) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:43:00 | INFO | Train Epoch: 11 [4779980/9193800 (52%)] Step: 26.6K | Data (t): 0.306 Batch (t): 1.297, 3149.31/s, 1574.66/s/gpu Logit Scale: 46.545 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.387 (-19.031) Joint_loss: 20.406 (21.046) Cross_loss: 2.0187 (2.0155) Image_lambda_loss: 1.1196 (1.1422) Text_lambda_loss: 1.2346 (1.2243) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:45:13 | INFO | Train Epoch: 11 [5177980/9193800 (56%)] Step: 26.7K | Data (t): 0.322 Batch (t): 1.323, 2964.94/s, 1482.47/s/gpu Logit Scale: 46.564 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.335 (-18.981) Joint_loss: 20.318 (20.994) Cross_loss: 1.9830 (2.0132) Image_lambda_loss: 1.0292 (1.1341) Text_lambda_loss: 1.1201 (1.2168) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:47:20 | INFO | Train Epoch: 11 [5575980/9193800 (61%)] Step: 26.8K | Data (t): 0.271 Batch (t): 1.271, 3158.76/s, 1579.38/s/gpu Logit Scale: 46.574 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.408 (-18.943) Joint_loss: 20.419 (20.956) Cross_loss: 2.0111 (2.0130) Image_lambda_loss: 1.1341 (1.1341) Text_lambda_loss: 1.2611 (1.2198) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:49:27 | INFO | Train Epoch: 11 [5973980/9193800 (65%)] Step: 26.9K | Data (t): 0.277 Batch (t): 1.278, 3241.01/s, 1620.51/s/gpu Logit Scale: 46.595 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.589 (-18.921) Joint_loss: 20.580 (20.932) Cross_loss: 1.9906 (2.0116) Image_lambda_loss: 1.1218 (1.1334) Text_lambda_loss: 1.2209 (1.2199) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:51:36 | INFO | Train Epoch: 11 [6371980/9193800 (69%)] Step: 27.0K | Data (t): 0.263 Batch (t): 1.282, 3102.60/s, 1551.30/s/gpu Logit Scale: 46.622 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.497 (-18.896) Joint_loss: 20.472 (20.905) Cross_loss: 1.9753 (2.0095) Image_lambda_loss: 1.0813 (1.1303) Text_lambda_loss: 1.2672 (1.2226) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:53:51 | INFO | Train Epoch: 11 [6769980/9193800 (74%)] Step: 27.1K | Data (t): 0.338 Batch (t): 1.356, 3192.44/s, 1596.22/s/gpu Logit Scale: 46.631 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.053 (-18.849) Joint_loss: 20.024 (20.856) Cross_loss: 1.9715 (2.0074) Image_lambda_loss: 1.1263 (1.1301) Text_lambda_loss: 1.2195 (1.2225) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:56:04 | INFO | Train Epoch: 11 [7167980/9193800 (78%)] Step: 27.2K | Data (t): 0.295 Batch (t): 1.323, 3075.42/s, 1537.71/s/gpu Logit Scale: 46.636 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.372 (-18.824) Joint_loss: 20.408 (20.833) Cross_loss: 2.0360 (2.0089) Image_lambda_loss: 1.1045 (1.1287) Text_lambda_loss: 1.1952 (1.2210) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,13:58:12 | INFO | Train Epoch: 11 [7565980/9193800 (82%)] Step: 27.3K | Data (t): 0.287 Batch (t): 1.284, 3118.16/s, 1559.08/s/gpu Logit Scale: 46.646 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.321 (-18.799) Joint_loss: 20.327 (20.807) Cross_loss: 2.0069 (2.0088) Image_lambda_loss: 0.99534 (1.1221) Text_lambda_loss: 1.1000 (1.2150) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,14:00:20 | INFO | Train Epoch: 11 [7963980/9193800 (87%)] Step: 27.4K | Data (t): 0.279 Batch (t): 1.281, 2986.55/s, 1493.28/s/gpu Logit Scale: 46.663 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.221 (-18.771) Joint_loss: 20.232 (20.780) Cross_loss: 2.0112 (2.0089) Image_lambda_loss: 1.0134 (1.1169) Text_lambda_loss: 1.1457 (1.2117) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,14:02:22 | INFO | Train Epoch: 11 [8361980/9193800 (91%)] Step: 27.5K | Data (t): 0.192 Batch (t): 1.214, 3337.81/s, 1668.91/s/gpu Logit Scale: 46.740 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.833 (-18.819) Joint_loss: 21.865 (20.829) Cross_loss: 2.0328 (2.0100) Image_lambda_loss: 1.1376 (1.1178) Text_lambda_loss: 1.2034 (1.2113) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,14:04:30 | INFO | Train Epoch: 11 [8759980/9193800 (95%)] Step: 27.6K | Data (t): 0.291 Batch (t): 1.289, 3166.18/s, 1583.09/s/gpu Logit Scale: 46.838 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.433 (-18.846) Joint_loss: 21.452 (20.856) Cross_loss: 2.0188 (2.0104) Image_lambda_loss: 1.1979 (1.1213) Text_lambda_loss: 1.1938 (1.2105) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,14:06:39 | INFO | Train Epoch: 11 [9157980/9193800 (100%)] Step: 27.7K | Data (t): 0.287 Batch (t): 1.289, 2610.14/s, 1305.07/s/gpu Logit Scale: 46.932 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.438 (-18.871) Joint_loss: 21.440 (20.881) Cross_loss: 2.0017 (2.0100) Image_lambda_loss: 1.0715 (1.1192) Text_lambda_loss: 1.2617 (1.2127) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,14:06:50 | INFO | Train Epoch: 11 [9193800/9193800 (100%)] Step: 27.7K | Data (t): 0.249 Batch (t): 1.211, 3576.35/s, 1788.18/s/gpu Logit Scale: 46.937 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.502 (-18.896) Joint_loss: 21.514 (20.906) Cross_loss: 2.0114 (2.0101) Image_lambda_loss: 1.0650 (1.1171) Text_lambda_loss: 1.3238 (1.2171) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.99 | -2025-01-24,14:06:50 | INFO | Starting zero-shot imagenet. -2025-01-24,14:06:50 | INFO | Building zero-shot classifier -2025-01-24,14:06:57 | INFO | Using classifier -2025-01-24,14:08:00 | INFO | Finished zero-shot imagenet. -2025-01-24,14:08:08 | INFO | Eval Epoch: 12 [1990 / 205824] Clip Loss: 1.745339 -2025-01-24,14:08:40 | INFO | Eval Epoch: 12 imagenet-zeroshot-val-top1: 0.2278 imagenet-zeroshot-val-top5: 0.4566 image_to_text_mean_rank: 44.5111 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4544 image_to_text_R@5: 0.6839 image_to_text_R@10: 0.7607 text_to_image_mean_rank: 55.2358 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4517 text_to_image_R@5: 0.6796 text_to_image_R@10: 0.7611 clip_val_loss: 1.6653 epoch: 12.0000 num_samples: 8678.0000 -2025-01-24,14:08:42 | INFO | Start epoch 12 -2025-01-24,14:08:52 | INFO | Train Epoch: 12 [ 3980/9193800 (0%)] Step: 27.7K | Data (t): 9.165 Batch (t): 10.150, 392.107/s, 196.054/s/gpu Logit Scale: 46.938 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.607 (-19.607) Joint_loss: 21.612 (21.612) Cross_loss: 2.0050 (2.0050) Image_lambda_loss: 1.1199 (1.1199) Text_lambda_loss: 1.2223 (1.2223) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:10:53 | INFO | Train Epoch: 12 [ 401980/9193800 (4%)] Step: 27.8K | Data (t): 0.145 Batch (t): 1.213, 3178.95/s, 1589.48/s/gpu Logit Scale: 47.040 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.276 (-19.442) Joint_loss: 21.238 (21.425) Cross_loss: 1.9614 (1.9832) Image_lambda_loss: 1.1631 (1.1415) Text_lambda_loss: 1.3540 (1.2882) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:13:00 | INFO | Train Epoch: 12 [ 799980/9193800 (9%)] Step: 27.9K | Data (t): 0.278 Batch (t): 1.266, 3105.09/s, 1552.54/s/gpu Logit Scale: 47.136 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.617 (-19.833) Joint_loss: 22.627 (21.826) Cross_loss: 2.0107 (1.9924) Image_lambda_loss: 1.1647 (1.1492) Text_lambda_loss: 1.2649 (1.2804) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:15:08 | INFO | Train Epoch: 12 [1197980/9193800 (13%)] Step: 28.0K | Data (t): 0.282 Batch (t): 1.277, 3328.55/s, 1664.28/s/gpu Logit Scale: 47.207 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.981 (-19.620) Joint_loss: 20.951 (21.607) Cross_loss: 1.9700 (1.9868) Image_lambda_loss: 1.3108 (1.1896) Text_lambda_loss: 1.2599 (1.2753) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:17:15 | INFO | Train Epoch: 12 [1595980/9193800 (17%)] Step: 28.1K | Data (t): 0.286 Batch (t): 1.274, 3359.99/s, 1679.99/s/gpu Logit Scale: 47.261 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.457 (-19.788) Joint_loss: 22.491 (21.784) Cross_loss: 2.0340 (1.9962) Image_lambda_loss: 1.2234 (1.1964) Text_lambda_loss: 1.2908 (1.2784) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:19:21 | INFO | Train Epoch: 12 [1993980/9193800 (22%)] Step: 28.2K | Data (t): 0.270 Batch (t): 1.256, 2860.09/s, 1430.04/s/gpu Logit Scale: 47.297 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.196 (-19.689) Joint_loss: 21.229 (21.691) Cross_loss: 2.0331 (2.0024) Image_lambda_loss: 1.2509 (1.2055) Text_lambda_loss: 1.3985 (1.2984) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:21:23 | INFO | Train Epoch: 12 [2391980/9193800 (26%)] Step: 28.3K | Data (t): 0.246 Batch (t): 1.221, 3594.63/s, 1797.32/s/gpu Logit Scale: 47.345 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.342 (-19.639) Joint_loss: 21.378 (21.647) Cross_loss: 2.0368 (2.0073) Image_lambda_loss: 1.2099 (1.2061) Text_lambda_loss: 1.2532 (1.2920) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:23:25 | INFO | Train Epoch: 12 [2789980/9193800 (30%)] Step: 28.4K | Data (t): 0.241 Batch (t): 1.223, 3269.33/s, 1634.67/s/gpu Logit Scale: 47.366 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.411 (-19.611) Joint_loss: 21.389 (21.614) Cross_loss: 1.9780 (2.0036) Image_lambda_loss: 1.0824 (1.1906) Text_lambda_loss: 1.2091 (1.2816) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:25:27 | INFO | Train Epoch: 12 [3187980/9193800 (35%)] Step: 28.5K | Data (t): 0.234 Batch (t): 1.215, 3180.94/s, 1590.47/s/gpu Logit Scale: 47.392 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.309 (-19.577) Joint_loss: 21.320 (21.582) Cross_loss: 2.0113 (2.0045) Image_lambda_loss: 1.2437 (1.1965) Text_lambda_loss: 1.3219 (1.2861) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:27:32 | INFO | Train Epoch: 12 [3585980/9193800 (39%)] Step: 28.6K | Data (t): 0.224 Batch (t): 1.257, 3561.85/s, 1780.92/s/gpu Logit Scale: 47.425 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.740 (-19.494) Joint_loss: 20.750 (21.499) Cross_loss: 2.0100 (2.0050) Image_lambda_loss: 1.0608 (1.1830) Text_lambda_loss: 1.1891 (1.2764) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:29:34 | INFO | Train Epoch: 12 [3983980/9193800 (43%)] Step: 28.7K | Data (t): 0.212 Batch (t): 1.219, 3576.38/s, 1788.19/s/gpu Logit Scale: 47.443 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.934 (-19.443) Joint_loss: 20.936 (21.447) Cross_loss: 2.0025 (2.0048) Image_lambda_loss: 1.1500 (1.1800) Text_lambda_loss: 1.2177 (1.2710) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:31:35 | INFO | Train Epoch: 12 [4381980/9193800 (48%)] Step: 28.8K | Data (t): 0.240 Batch (t): 1.213, 3159.82/s, 1579.91/s/gpu Logit Scale: 47.461 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.737 (-19.384) Joint_loss: 20.742 (21.389) Cross_loss: 2.0051 (2.0048) Image_lambda_loss: 1.1289 (1.1757) Text_lambda_loss: 1.2720 (1.2711) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:33:38 | INFO | Train Epoch: 12 [4779980/9193800 (52%)] Step: 28.9K | Data (t): 0.238 Batch (t): 1.228, 3334.52/s, 1667.26/s/gpu Logit Scale: 47.475 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.476 (-19.314) Joint_loss: 20.467 (21.318) Cross_loss: 1.9901 (2.0037) Image_lambda_loss: 1.1104 (1.1707) Text_lambda_loss: 1.2823 (1.2720) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:35:41 | INFO | Train Epoch: 12 [5177980/9193800 (56%)] Step: 29.0K | Data (t): 0.256 Batch (t): 1.231, 3482.02/s, 1741.01/s/gpu Logit Scale: 47.479 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.746 (-19.274) Joint_loss: 20.754 (21.278) Cross_loss: 2.0084 (2.0040) Image_lambda_loss: 1.1761 (1.1711) Text_lambda_loss: 1.2368 (1.2695) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:37:42 | INFO | Train Epoch: 12 [5575980/9193800 (61%)] Step: 29.1K | Data (t): 0.238 Batch (t): 1.209, 3256.56/s, 1628.28/s/gpu Logit Scale: 47.486 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.741 (-19.238) Joint_loss: 20.755 (21.243) Cross_loss: 2.0147 (2.0047) Image_lambda_loss: 1.1267 (1.1681) Text_lambda_loss: 1.2786 (1.2701) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:39:44 | INFO | Train Epoch: 12 [5973980/9193800 (65%)] Step: 29.2K | Data (t): 0.249 Batch (t): 1.217, 3337.87/s, 1668.94/s/gpu Logit Scale: 47.496 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.847 (-19.214) Joint_loss: 20.861 (21.219) Cross_loss: 2.0140 (2.0053) Image_lambda_loss: 1.2075 (1.1706) Text_lambda_loss: 1.2644 (1.2697) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:41:46 | INFO | Train Epoch: 12 [6371980/9193800 (69%)] Step: 29.3K | Data (t): 0.251 Batch (t): 1.223, 3245.89/s, 1622.95/s/gpu Logit Scale: 47.510 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.885 (-19.194) Joint_loss: 20.881 (21.199) Cross_loss: 1.9959 (2.0048) Image_lambda_loss: 1.1009 (1.1665) Text_lambda_loss: 1.2048 (1.2659) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:43:50 | INFO | Train Epoch: 12 [6769980/9193800 (74%)] Step: 29.4K | Data (t): 0.262 Batch (t): 1.236, 3231.06/s, 1615.53/s/gpu Logit Scale: 47.528 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.787 (-19.172) Joint_loss: 20.810 (21.177) Cross_loss: 2.0227 (2.0058) Image_lambda_loss: 1.1684 (1.1666) Text_lambda_loss: 1.2591 (1.2655) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:45:53 | INFO | Train Epoch: 12 [7167980/9193800 (78%)] Step: 29.5K | Data (t): 0.252 Batch (t): 1.234, 3326.52/s, 1663.26/s/gpu Logit Scale: 47.525 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.755 (-19.150) Joint_loss: 20.748 (21.155) Cross_loss: 1.9933 (2.0051) Image_lambda_loss: 1.1299 (1.1647) Text_lambda_loss: 1.3016 (1.2674) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:48:14 | INFO | Train Epoch: 12 [7565980/9193800 (82%)] Step: 29.6K | Data (t): 0.251 Batch (t): 1.412, 3549.78/s, 1774.89/s/gpu Logit Scale: 47.536 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.502 (-19.117) Joint_loss: 20.489 (21.121) Cross_loss: 1.9876 (2.0042) Image_lambda_loss: 1.1496 (1.1639) Text_lambda_loss: 1.2116 (1.2646) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:50:19 | INFO | Train Epoch: 12 [7963980/9193800 (87%)] Step: 29.7K | Data (t): 0.248 Batch (t): 1.241, 3098.39/s, 1549.20/s/gpu Logit Scale: 47.543 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -18.536 (-19.090) Joint_loss: 20.547 (21.094) Cross_loss: 2.0116 (2.0046) Image_lambda_loss: 1.0308 (1.1576) Text_lambda_loss: 1.2602 (1.2644) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:52:26 | INFO | Train Epoch: 12 [8361980/9193800 (91%)] Step: 29.8K | Data (t): 0.275 Batch (t): 1.278, 3436.65/s, 1718.32/s/gpu Logit Scale: 47.625 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.961 (-19.129) Joint_loss: 21.943 (21.133) Cross_loss: 1.9816 (2.0035) Image_lambda_loss: 1.0517 (1.1527) Text_lambda_loss: 1.1765 (1.2604) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:54:30 | INFO | Train Epoch: 12 [8759980/9193800 (95%)] Step: 29.9K | Data (t): 0.252 Batch (t): 1.232, 3297.58/s, 1648.79/s/gpu Logit Scale: 47.714 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.068 (-19.170) Joint_loss: 22.097 (21.175) Cross_loss: 2.0292 (2.0046) Image_lambda_loss: 1.2479 (1.1569) Text_lambda_loss: 1.4135 (1.2671) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:56:33 | INFO | Train Epoch: 12 [9157980/9193800 (100%)] Step: 30.0K | Data (t): 0.250 Batch (t): 1.237, 2924.49/s, 1462.24/s/gpu Logit Scale: 47.810 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.852 (-19.198) Joint_loss: 21.848 (21.203) Cross_loss: 1.9959 (2.0043) Image_lambda_loss: 1.1325 (1.1559) Text_lambda_loss: 1.2131 (1.2648) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:56:44 | INFO | Train Epoch: 12 [9193800/9193800 (100%)] Step: 30.0K | Data (t): 0.223 Batch (t): 1.185, 3485.63/s, 1742.82/s/gpu Logit Scale: 47.819 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.321 (-19.243) Joint_loss: 22.338 (21.248) Cross_loss: 2.0165 (2.0048) Image_lambda_loss: 1.1595 (1.1560) Text_lambda_loss: 1.2195 (1.2630) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.99 | -2025-01-24,14:56:44 | INFO | Starting zero-shot imagenet. -2025-01-24,14:56:44 | INFO | Building zero-shot classifier -2025-01-24,14:56:51 | INFO | Using classifier -2025-01-24,14:57:59 | INFO | Finished zero-shot imagenet. -2025-01-24,14:58:07 | INFO | Eval Epoch: 13 [1990 / 205824] Clip Loss: 1.794417 -2025-01-24,14:58:39 | INFO | Eval Epoch: 13 imagenet-zeroshot-val-top1: 0.2298 imagenet-zeroshot-val-top5: 0.4599 image_to_text_mean_rank: 46.6839 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4642 image_to_text_R@5: 0.6898 image_to_text_R@10: 0.7632 text_to_image_mean_rank: 56.2483 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4602 text_to_image_R@5: 0.6878 text_to_image_R@10: 0.7619 clip_val_loss: 1.6755 epoch: 13.0000 num_samples: 8678.0000 -2025-01-24,14:58:41 | INFO | Start epoch 13 -2025-01-24,14:58:51 | INFO | Train Epoch: 13 [ 3980/9193800 (0%)] Step: 30.0K | Data (t): 8.945 Batch (t): 9.888, 402.493/s, 201.246/s/gpu Logit Scale: 47.820 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.797 (-19.797) Joint_loss: 21.782 (21.782) Cross_loss: 1.9852 (1.9852) Image_lambda_loss: 1.1860 (1.1860) Text_lambda_loss: 1.2781 (1.2781) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:00:51 | INFO | Train Epoch: 13 [ 401980/9193800 (4%)] Step: 30.1K | Data (t): 0.143 Batch (t): 1.203, 3299.78/s, 1649.89/s/gpu Logit Scale: 47.926 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.747 (-20.272) Joint_loss: 22.719 (22.251) Cross_loss: 1.9722 (1.9787) Image_lambda_loss: 1.3057 (1.2459) Text_lambda_loss: 1.4394 (1.3587) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:02:53 | INFO | Train Epoch: 13 [ 799980/9193800 (9%)] Step: 30.2K | Data (t): 0.232 Batch (t): 1.221, 2965.57/s, 1482.78/s/gpu Logit Scale: 48.014 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.819 (-20.121) Joint_loss: 21.837 (22.113) Cross_loss: 2.0182 (1.9919) Image_lambda_loss: 1.3145 (1.2687) Text_lambda_loss: 1.3190 (1.3455) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:04:56 | INFO | Train Epoch: 13 [1197980/9193800 (13%)] Step: 30.3K | Data (t): 0.244 Batch (t): 1.228, 3237.36/s, 1618.68/s/gpu Logit Scale: 48.077 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.235 (-20.149) Joint_loss: 22.240 (22.145) Cross_loss: 2.0051 (1.9952) Image_lambda_loss: 1.2061 (1.2531) Text_lambda_loss: 1.3423 (1.3447) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:07:06 | INFO | Train Epoch: 13 [1595980/9193800 (17%)] Step: 30.4K | Data (t): 0.243 Batch (t): 1.297, 3029.74/s, 1514.87/s/gpu Logit Scale: 48.135 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.412 (-20.002) Joint_loss: 21.402 (21.996) Cross_loss: 1.9900 (1.9941) Image_lambda_loss: 1.2072 (1.2439) Text_lambda_loss: 1.2297 (1.3217) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:09:15 | INFO | Train Epoch: 13 [1993980/9193800 (22%)] Step: 30.5K | Data (t): 0.236 Batch (t): 1.293, 2954.64/s, 1477.32/s/gpu Logit Scale: 48.172 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.031 (-20.007) Joint_loss: 22.081 (22.010) Cross_loss: 2.0503 (2.0035) Image_lambda_loss: 1.1684 (1.2313) Text_lambda_loss: 1.2728 (1.3135) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:11:27 | INFO | Train Epoch: 13 [2391980/9193800 (26%)] Step: 30.6K | Data (t): 0.230 Batch (t): 1.319, 2945.56/s, 1472.78/s/gpu Logit Scale: 48.193 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.915 (-19.994) Joint_loss: 21.933 (21.999) Cross_loss: 2.0184 (2.0056) Image_lambda_loss: 1.2445 (1.2332) Text_lambda_loss: 1.3067 (1.3126) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:13:39 | INFO | Train Epoch: 13 [2789980/9193800 (30%)] Step: 30.7K | Data (t): 0.234 Batch (t): 1.315, 3120.51/s, 1560.25/s/gpu Logit Scale: 48.207 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.250 (-19.901) Joint_loss: 21.238 (21.904) Cross_loss: 1.9877 (2.0034) Image_lambda_loss: 1.1765 (1.2261) Text_lambda_loss: 1.3059 (1.3117) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:15:49 | INFO | Train Epoch: 13 [3187980/9193800 (35%)] Step: 30.8K | Data (t): 0.231 Batch (t): 1.308, 2954.77/s, 1477.39/s/gpu Logit Scale: 48.238 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.152 (-19.929) Joint_loss: 22.153 (21.932) Cross_loss: 2.0010 (2.0031) Image_lambda_loss: 1.1880 (1.2219) Text_lambda_loss: 1.3042 (1.3109) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:17:58 | INFO | Train Epoch: 13 [3585980/9193800 (39%)] Step: 30.9K | Data (t): 0.221 Batch (t): 1.286, 3006.53/s, 1503.27/s/gpu Logit Scale: 48.257 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.327 (-19.868) Joint_loss: 21.308 (21.869) Cross_loss: 1.9817 (2.0010) Image_lambda_loss: 1.2721 (1.2269) Text_lambda_loss: 1.3197 (1.3118) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:20:06 | INFO | Train Epoch: 13 [3983980/9193800 (43%)] Step: 31.0K | Data (t): 0.232 Batch (t): 1.277, 3219.48/s, 1609.74/s/gpu Logit Scale: 48.270 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.267 (-19.814) Joint_loss: 21.293 (21.817) Cross_loss: 2.0267 (2.0033) Image_lambda_loss: 1.1502 (1.2199) Text_lambda_loss: 1.2731 (1.3083) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:22:12 | INFO | Train Epoch: 13 [4381980/9193800 (48%)] Step: 31.1K | Data (t): 0.235 Batch (t): 1.259, 3350.32/s, 1675.16/s/gpu Logit Scale: 48.280 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.286 (-19.853) Joint_loss: 22.288 (21.856) Cross_loss: 2.0022 (2.0032) Image_lambda_loss: 1.2203 (1.2200) Text_lambda_loss: 1.2979 (1.3074) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:24:18 | INFO | Train Epoch: 13 [4779980/9193800 (52%)] Step: 31.2K | Data (t): 0.230 Batch (t): 1.264, 3254.00/s, 1627.00/s/gpu Logit Scale: 48.287 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.736 (-19.844) Joint_loss: 21.744 (21.848) Cross_loss: 2.0080 (2.0036) Image_lambda_loss: 1.2221 (1.2201) Text_lambda_loss: 1.3654 (1.3119) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:26:24 | INFO | Train Epoch: 13 [5177980/9193800 (56%)] Step: 31.3K | Data (t): 0.223 Batch (t): 1.263, 3152.44/s, 1576.22/s/gpu Logit Scale: 48.297 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.424 (-19.814) Joint_loss: 21.452 (21.819) Cross_loss: 2.0283 (2.0054) Image_lambda_loss: 1.2935 (1.2254) Text_lambda_loss: 1.3288 (1.3131) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:28:30 | INFO | Train Epoch: 13 [5575980/9193800 (61%)] Step: 31.4K | Data (t): 0.208 Batch (t): 1.251, 3088.09/s, 1544.04/s/gpu Logit Scale: 48.309 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.408 (-19.787) Joint_loss: 21.397 (21.791) Cross_loss: 1.9887 (2.0043) Image_lambda_loss: 1.1492 (1.2203) Text_lambda_loss: 1.2263 (1.3073) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:30:33 | INFO | Train Epoch: 13 [5973980/9193800 (65%)] Step: 31.5K | Data (t): 0.224 Batch (t): 1.236, 3244.36/s, 1622.18/s/gpu Logit Scale: 48.308 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.826 (-19.789) Joint_loss: 21.834 (21.794) Cross_loss: 2.0086 (2.0045) Image_lambda_loss: 0.98883 (1.2058) Text_lambda_loss: 1.2523 (1.3038) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:32:38 | INFO | Train Epoch: 13 [6371980/9193800 (69%)] Step: 31.6K | Data (t): 0.230 Batch (t): 1.244, 2775.98/s, 1387.99/s/gpu Logit Scale: 48.307 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.425 (-19.768) Joint_loss: 21.443 (21.773) Cross_loss: 2.0180 (2.0053) Image_lambda_loss: 1.1480 (1.2024) Text_lambda_loss: 1.2633 (1.3015) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:34:43 | INFO | Train Epoch: 13 [6769980/9193800 (74%)] Step: 31.7K | Data (t): 0.231 Batch (t): 1.251, 3239.51/s, 1619.76/s/gpu Logit Scale: 48.308 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.118 (-19.732) Joint_loss: 21.110 (21.736) Cross_loss: 1.9914 (2.0045) Image_lambda_loss: 1.0568 (1.1943) Text_lambda_loss: 1.1556 (1.2934) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:36:46 | INFO | Train Epoch: 13 [7167980/9193800 (78%)] Step: 31.8K | Data (t): 0.239 Batch (t): 1.232, 3517.47/s, 1758.74/s/gpu Logit Scale: 48.309 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.463 (-19.718) Joint_loss: 21.487 (21.723) Cross_loss: 2.0241 (2.0056) Image_lambda_loss: 1.1678 (1.1929) Text_lambda_loss: 1.2614 (1.2917) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:38:49 | INFO | Train Epoch: 13 [7565980/9193800 (82%)] Step: 31.9K | Data (t): 0.236 Batch (t): 1.236, 3422.96/s, 1711.48/s/gpu Logit Scale: 48.320 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.073 (-19.685) Joint_loss: 21.082 (21.691) Cross_loss: 2.0089 (2.0057) Image_lambda_loss: 1.2282 (1.1947) Text_lambda_loss: 1.3595 (1.2951) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:40:52 | INFO | Train Epoch: 13 [7963980/9193800 (87%)] Step: 32.0K | Data (t): 0.227 Batch (t): 1.224, 3130.60/s, 1565.30/s/gpu Logit Scale: 48.329 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.452 (-19.674) Joint_loss: 21.467 (21.681) Cross_loss: 2.0151 (2.0062) Image_lambda_loss: 1.0531 (1.1880) Text_lambda_loss: 1.2084 (1.2909) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:42:46 | INFO | Train Epoch: 13 [8361980/9193800 (91%)] Step: 32.1K | Data (t): 0.097 Batch (t): 1.144, 4174.52/s, 2087.26/s/gpu Logit Scale: 48.401 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.463 (-19.710) Joint_loss: 22.495 (21.718) Cross_loss: 2.0325 (2.0074) Image_lambda_loss: 1.3089 (1.1934) Text_lambda_loss: 1.4150 (1.2966) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:44:40 | INFO | Train Epoch: 13 [8759980/9193800 (95%)] Step: 32.2K | Data (t): 0.037 Batch (t): 1.136, 3931.55/s, 1965.77/s/gpu Logit Scale: 48.491 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.374 (-19.739) Joint_loss: 22.389 (21.747) Cross_loss: 2.0153 (2.0077) Image_lambda_loss: 1.1758 (1.1927) Text_lambda_loss: 1.2398 (1.2941) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:46:34 | INFO | Train Epoch: 13 [9157980/9193800 (100%)] Step: 32.3K | Data (t): 0.122 Batch (t): 1.142, 4170.33/s, 2085.17/s/gpu Logit Scale: 48.570 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.870 (-19.786) Joint_loss: 22.922 (21.796) Cross_loss: 2.0518 (2.0096) Image_lambda_loss: 1.3037 (1.1973) Text_lambda_loss: 1.4562 (1.3009) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:46:45 | INFO | Train Epoch: 13 [9193800/9193800 (100%)] Step: 32.3K | Data (t): 0.206 Batch (t): 1.203, 3305.07/s, 1652.54/s/gpu Logit Scale: 48.579 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.285 (-19.806) Joint_loss: 22.317 (21.817) Cross_loss: 2.0318 (2.0105) Image_lambda_loss: 1.2461 (1.1993) Text_lambda_loss: 1.3372 (1.3023) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.99 | -2025-01-24,15:46:45 | INFO | Starting zero-shot imagenet. -2025-01-24,15:46:45 | INFO | Building zero-shot classifier -2025-01-24,15:46:52 | INFO | Using classifier -2025-01-24,15:47:54 | INFO | Finished zero-shot imagenet. -2025-01-24,15:48:02 | INFO | Eval Epoch: 14 [1990 / 205824] Clip Loss: 1.813867 -2025-01-24,15:48:34 | INFO | Eval Epoch: 14 imagenet-zeroshot-val-top1: 0.2287 imagenet-zeroshot-val-top5: 0.4578 image_to_text_mean_rank: 47.2174 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4598 image_to_text_R@5: 0.6885 image_to_text_R@10: 0.7599 text_to_image_mean_rank: 56.4239 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4584 text_to_image_R@5: 0.6818 text_to_image_R@10: 0.7569 clip_val_loss: 1.7071 epoch: 14.0000 num_samples: 8678.0000 -2025-01-24,15:48:36 | INFO | Start epoch 14 -2025-01-24,15:48:45 | INFO | Train Epoch: 14 [ 3980/9193800 (0%)] Step: 32.3K | Data (t): 8.456 Batch (t): 9.402, 423.325/s, 211.662/s/gpu Logit Scale: 48.579 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.223 (-20.223) Joint_loss: 22.265 (22.265) Cross_loss: 2.0422 (2.0422) Image_lambda_loss: 1.1637 (1.1637) Text_lambda_loss: 1.2645 (1.2645) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,15:50:49 | INFO | Train Epoch: 14 [ 401980/9193800 (4%)] Step: 32.4K | Data (t): 0.161 Batch (t): 1.237, 3071.37/s, 1535.69/s/gpu Logit Scale: 48.668 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -21.493 (-20.858) Joint_loss: 23.540 (22.902) Cross_loss: 2.0471 (2.0447) Image_lambda_loss: 1.4301 (1.2969) Text_lambda_loss: 1.4883 (1.3764) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,15:52:55 | INFO | Train Epoch: 14 [ 799980/9193800 (9%)] Step: 32.5K | Data (t): 0.234 Batch (t): 1.257, 3128.75/s, 1564.38/s/gpu Logit Scale: 48.748 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.498 (-20.738) Joint_loss: 22.481 (22.762) Cross_loss: 1.9834 (2.0242) Image_lambda_loss: 1.3101 (1.3013) Text_lambda_loss: 1.2420 (1.3316) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,15:55:00 | INFO | Train Epoch: 14 [1197980/9193800 (13%)] Step: 32.6K | Data (t): 0.225 Batch (t): 1.256, 2985.71/s, 1492.85/s/gpu Logit Scale: 48.800 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.427 (-20.660) Joint_loss: 22.444 (22.683) Cross_loss: 2.0175 (2.0226) Image_lambda_loss: 1.2718 (1.2939) Text_lambda_loss: 1.3748 (1.3424) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,15:57:07 | INFO | Train Epoch: 14 [1595980/9193800 (17%)] Step: 32.7K | Data (t): 0.225 Batch (t): 1.261, 3485.57/s, 1742.79/s/gpu Logit Scale: 48.849 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.050 (-20.538) Joint_loss: 22.070 (22.560) Cross_loss: 2.0194 (2.0219) Image_lambda_loss: 1.2915 (1.2934) Text_lambda_loss: 1.4450 (1.3629) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,15:59:12 | INFO | Train Epoch: 14 [1993980/9193800 (22%)] Step: 32.8K | Data (t): 0.221 Batch (t): 1.254, 3210.88/s, 1605.44/s/gpu Logit Scale: 48.896 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.929 (-20.436) Joint_loss: 21.905 (22.451) Cross_loss: 1.9763 (2.0143) Image_lambda_loss: 1.3242 (1.2986) Text_lambda_loss: 1.3132 (1.3546) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:01:16 | INFO | Train Epoch: 14 [2391980/9193800 (26%)] Step: 32.9K | Data (t): 0.236 Batch (t): 1.242, 3431.32/s, 1715.66/s/gpu Logit Scale: 48.926 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.512 (-20.447) Joint_loss: 22.571 (22.468) Cross_loss: 2.0584 (2.0206) Image_lambda_loss: 1.2702 (1.2945) Text_lambda_loss: 1.4519 (1.3685) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:03:19 | INFO | Train Epoch: 14 [2789980/9193800 (30%)] Step: 33.0K | Data (t): 0.233 Batch (t): 1.233, 3356.62/s, 1678.31/s/gpu Logit Scale: 48.950 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.757 (-20.361) Joint_loss: 21.743 (22.377) Cross_loss: 1.9864 (2.0163) Image_lambda_loss: 1.1564 (1.2772) Text_lambda_loss: 1.4075 (1.3734) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:05:23 | INFO | Train Epoch: 14 [3187980/9193800 (35%)] Step: 33.1K | Data (t): 0.223 Batch (t): 1.241, 3203.68/s, 1601.84/s/gpu Logit Scale: 48.964 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.908 (-20.311) Joint_loss: 21.896 (22.324) Cross_loss: 1.9878 (2.0132) Image_lambda_loss: 1.2930 (1.2790) Text_lambda_loss: 1.3860 (1.3748) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:07:27 | INFO | Train Epoch: 14 [3585980/9193800 (39%)] Step: 33.2K | Data (t): 0.229 Batch (t): 1.235, 3042.95/s, 1521.48/s/gpu Logit Scale: 48.982 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.767 (-20.256) Joint_loss: 21.777 (22.269) Cross_loss: 2.0104 (2.0129) Image_lambda_loss: 1.2018 (1.2713) Text_lambda_loss: 1.3801 (1.3753) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:09:30 | INFO | Train Epoch: 14 [3983980/9193800 (43%)] Step: 33.3K | Data (t): 0.233 Batch (t): 1.227, 2965.29/s, 1482.65/s/gpu Logit Scale: 48.989 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.263 (-20.166) Joint_loss: 21.246 (22.176) Cross_loss: 1.9835 (2.0102) Image_lambda_loss: 1.1841 (1.2634) Text_lambda_loss: 1.2682 (1.3656) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:11:36 | INFO | Train Epoch: 14 [4381980/9193800 (48%)] Step: 33.4K | Data (t): 0.258 Batch (t): 1.258, 3216.43/s, 1608.21/s/gpu Logit Scale: 48.993 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.826 (-20.138) Joint_loss: 21.879 (22.151) Cross_loss: 2.0528 (2.0138) Image_lambda_loss: 1.3047 (1.2668) Text_lambda_loss: 1.3876 (1.3674) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:13:46 | INFO | Train Epoch: 14 [4779980/9193800 (52%)] Step: 33.5K | Data (t): 0.265 Batch (t): 1.307, 2976.33/s, 1488.16/s/gpu Logit Scale: 49.009 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.787 (-20.111) Joint_loss: 21.784 (22.123) Cross_loss: 1.9976 (2.0125) Image_lambda_loss: 1.2179 (1.2630) Text_lambda_loss: 1.3945 (1.3695) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:15:56 | INFO | Train Epoch: 14 [5177980/9193800 (56%)] Step: 33.6K | Data (t): 0.258 Batch (t): 1.298, 3236.24/s, 1618.12/s/gpu Logit Scale: 49.020 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.578 (-20.073) Joint_loss: 21.616 (22.087) Cross_loss: 2.0377 (2.0143) Image_lambda_loss: 1.4614 (1.2772) Text_lambda_loss: 1.3684 (1.3694) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:18:04 | INFO | Train Epoch: 14 [5575980/9193800 (61%)] Step: 33.7K | Data (t): 0.267 Batch (t): 1.285, 3132.90/s, 1566.45/s/gpu Logit Scale: 49.024 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.898 (-20.061) Joint_loss: 21.930 (22.076) Cross_loss: 2.0318 (2.0155) Image_lambda_loss: 1.1405 (1.2681) Text_lambda_loss: 1.2610 (1.3622) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:20:12 | INFO | Train Epoch: 14 [5973980/9193800 (65%)] Step: 33.8K | Data (t): 0.264 Batch (t): 1.270, 3338.68/s, 1669.34/s/gpu Logit Scale: 49.021 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.846 (-20.048) Joint_loss: 21.862 (22.063) Cross_loss: 2.0166 (2.0156) Image_lambda_loss: 1.2381 (1.2662) Text_lambda_loss: 1.2913 (1.3578) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:22:18 | INFO | Train Epoch: 14 [6371980/9193800 (69%)] Step: 33.9K | Data (t): 0.259 Batch (t): 1.265, 3280.80/s, 1640.40/s/gpu Logit Scale: 49.031 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.742 (-20.030) Joint_loss: 21.768 (22.046) Cross_loss: 2.0254 (2.0161) Image_lambda_loss: 1.1479 (1.2593) Text_lambda_loss: 1.2654 (1.3523) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:24:21 | INFO | Train Epoch: 14 [6769980/9193800 (74%)] Step: 34.0K | Data (t): 0.244 Batch (t): 1.229, 3111.91/s, 1555.95/s/gpu Logit Scale: 49.030 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.520 (-20.001) Joint_loss: 21.507 (22.016) Cross_loss: 1.9870 (2.0145) Image_lambda_loss: 1.1667 (1.2541) Text_lambda_loss: 1.3694 (1.3533) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:26:26 | INFO | Train Epoch: 14 [7167980/9193800 (78%)] Step: 34.1K | Data (t): 0.254 Batch (t): 1.248, 3166.66/s, 1583.33/s/gpu Logit Scale: 49.036 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.530 (-19.976) Joint_loss: 21.594 (21.994) Cross_loss: 2.0641 (2.0171) Image_lambda_loss: 1.1422 (1.2482) Text_lambda_loss: 1.2982 (1.3504) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:28:32 | INFO | Train Epoch: 14 [7565980/9193800 (82%)] Step: 34.2K | Data (t): 0.269 Batch (t): 1.264, 3050.23/s, 1525.12/s/gpu Logit Scale: 49.044 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.683 (-19.962) Joint_loss: 21.731 (21.980) Cross_loss: 2.0485 (2.0187) Image_lambda_loss: 1.1972 (1.2457) Text_lambda_loss: 1.2738 (1.3466) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:30:39 | INFO | Train Epoch: 14 [7963980/9193800 (87%)] Step: 34.3K | Data (t): 0.260 Batch (t): 1.274, 2925.07/s, 1462.54/s/gpu Logit Scale: 49.047 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -19.805 (-19.954) Joint_loss: 21.822 (21.973) Cross_loss: 2.0169 (2.0186) Image_lambda_loss: 1.0982 (1.2387) Text_lambda_loss: 1.1981 (1.3395) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:32:36 | INFO | Train Epoch: 14 [8361980/9193800 (91%)] Step: 34.4K | Data (t): 0.151 Batch (t): 1.161, 3492.79/s, 1746.40/s/gpu Logit Scale: 49.122 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.801 (-19.993) Joint_loss: 22.812 (22.011) Cross_loss: 2.0116 (2.0183) Image_lambda_loss: 1.2582 (1.2395) Text_lambda_loss: 1.2982 (1.3376) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:34:32 | INFO | Train Epoch: 14 [8759980/9193800 (95%)] Step: 34.5K | Data (t): 0.174 Batch (t): 1.165, 3606.47/s, 1803.24/s/gpu Logit Scale: 49.215 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.770 (-20.027) Joint_loss: 22.817 (22.046) Cross_loss: 2.0464 (2.0195) Image_lambda_loss: 1.3096 (1.2426) Text_lambda_loss: 1.3838 (1.3396) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:36:37 | INFO | Train Epoch: 14 [9157980/9193800 (100%)] Step: 34.6K | Data (t): 0.233 Batch (t): 1.248, 3206.05/s, 1603.03/s/gpu Logit Scale: 49.291 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.799 (-20.059) Joint_loss: 22.847 (22.079) Cross_loss: 2.0474 (2.0207) Image_lambda_loss: 1.3736 (1.2480) Text_lambda_loss: 1.4920 (1.3460) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:36:48 | INFO | Train Epoch: 14 [9193800/9193800 (100%)] Step: 34.6K | Data (t): 0.224 Batch (t): 1.217, 3353.15/s, 1676.58/s/gpu Logit Scale: 49.298 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.518 (-20.077) Joint_loss: 22.520 (22.097) Cross_loss: 2.0017 (2.0199) Image_lambda_loss: 1.2334 (1.2475) Text_lambda_loss: 1.3407 (1.3458) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.99 | -2025-01-24,16:36:48 | INFO | Starting zero-shot imagenet. -2025-01-24,16:36:48 | INFO | Building zero-shot classifier -2025-01-24,16:36:55 | INFO | Using classifier -2025-01-24,16:37:57 | INFO | Finished zero-shot imagenet. -2025-01-24,16:38:05 | INFO | Eval Epoch: 15 [1990 / 205824] Clip Loss: 1.832619 -2025-01-24,16:38:36 | INFO | Eval Epoch: 15 imagenet-zeroshot-val-top1: 0.2310 imagenet-zeroshot-val-top5: 0.4604 image_to_text_mean_rank: 49.1367 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4676 image_to_text_R@5: 0.6917 image_to_text_R@10: 0.7647 text_to_image_mean_rank: 58.6905 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4677 text_to_image_R@5: 0.6937 text_to_image_R@10: 0.7601 clip_val_loss: 1.6984 epoch: 15.0000 num_samples: 8678.0000 -2025-01-24,16:38:38 | INFO | Start epoch 15 -2025-01-24,16:38:49 | INFO | Train Epoch: 15 [ 3980/9193800 (0%)] Step: 34.6K | Data (t): 9.598 Batch (t): 10.555, 377.080/s, 188.540/s/gpu Logit Scale: 49.298 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -23.059 (-23.059) Joint_loss: 25.109 (25.109) Cross_loss: 2.0502 (2.0502) Image_lambda_loss: 1.2940 (1.2940) Text_lambda_loss: 1.4050 (1.4050) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.99 | -2025-01-24,16:40:52 | INFO | Train Epoch: 15 [ 401980/9193800 (4%)] Step: 34.8K | Data (t): 0.192 Batch (t): 1.236, 3229.86/s, 1614.93/s/gpu Logit Scale: 49.381 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -20.391 (-21.725) Joint_loss: 22.382 (23.746) Cross_loss: 1.9910 (2.0206) Image_lambda_loss: 1.3822 (1.3381) Text_lambda_loss: 1.3809 (1.3930) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.99 | -2025-01-24,16:42:58 | INFO | Train Epoch: 15 [ 799980/9193800 (9%)] Step: 34.9K | Data (t): 0.259 Batch (t): 1.260, 3048.35/s, 1524.17/s/gpu Logit Scale: 49.461 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: -21.763 (-21.737) Joint_loss: 23.818 (23.770) Cross_loss: 2.0551 (2.0321) Image_lambda_loss: 1.4158 (1.3640) Text_lambda_loss: 1.3769 (1.3876) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.99 | +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 |