Upload ens_fix-bias-14.27sample-negFalse-scaleTrue-pos1.0-eps1e-06-stocFalselr0.0004-ViT-B-32-1024_0124122025/out.log with huggingface_hub
ef52a3e
verified
| 2025-01-24,12:20:25 | INFO | Running in distributed mode with multiple processes. Device: cuda:0.Process (global: 0, local 0), total 2. | |
| 2025-01-24,12:20:25 | INFO | Initializing logit scale based on loss type. | |
| 2025-01-24,12:20:25 | INFO | Loaded ViT-B-32 model config. | |
| 2025-01-24,12:20:26 | INFO | Model: | |
| 2025-01-24,12:20:26 | INFO | CLIP( | |
| (visual): VisionTransformer( | |
| (conv1): Conv2d(3, 768, kernel_size=(32, 32), stride=(32, 32), bias=False) | |
| (patch_dropout): Identity() | |
| (ln_pre): LayerNorm((768,), eps=1e-05, elementwise_affine=True) | |
| (transformer): Transformer( | |
| (resblocks): ModuleList( | |
| (0-11): 12 x ResidualAttentionBlock( | |
| (ln_1): LayerNorm((768,), eps=1e-05, elementwise_affine=True) | |
| (attn): MultiheadAttention( | |
| (out_proj): NonDynamicallyQuantizableLinear(in_features=768, out_features=768, bias=True) | |
| ) | |
| (ls_1): Identity() | |
| (ln_2): LayerNorm((768,), eps=1e-05, elementwise_affine=True) | |
| (mlp): Sequential( | |
| (c_fc): Linear(in_features=768, out_features=3072, bias=True) | |
| (gelu): GELU(approximate='none') | |
| (c_proj): Linear(in_features=3072, out_features=768, bias=True) | |
| ) | |
| (ls_2): Identity() | |
| ) | |
| ) | |
| ) | |
| (ln_post): LayerNorm((768,), eps=1e-05, elementwise_affine=True) | |
| ) | |
| (transformer): Transformer( | |
| (resblocks): ModuleList( | |
| (0-11): 12 x ResidualAttentionBlock( | |
| (ln_1): LayerNorm((512,), eps=1e-05, elementwise_affine=True) | |
| (attn): MultiheadAttention( | |
| (out_proj): NonDynamicallyQuantizableLinear(in_features=512, out_features=512, bias=True) | |
| ) | |
| (ls_1): Identity() | |
| (ln_2): LayerNorm((512,), eps=1e-05, elementwise_affine=True) | |
| (mlp): Sequential( | |
| (c_fc): Linear(in_features=512, out_features=2048, bias=True) | |
| (gelu): GELU(approximate='none') | |
| (c_proj): Linear(in_features=2048, out_features=512, bias=True) | |
| ) | |
| (ls_2): Identity() | |
| ) | |
| ) | |
| ) | |
| (token_embedding): Embedding(49408, 512) | |
| (ln_final): LayerNorm((512,), eps=1e-05, elementwise_affine=True) | |
| ) | |
| 2025-01-24,12:20:26 | INFO | Params: | |
| 2025-01-24,12:20:26 | INFO | accum_freq: 1 | |
| 2025-01-24,12:20:26 | INFO | added_positive_type: sample | |
| 2025-01-24,12:20:26 | INFO | aug_cfg: {} | |
| 2025-01-24,12:20:26 | INFO | batch_size: 1024 | |
| 2025-01-24,12:20:26 | INFO | beta1: 0.9 | |
| 2025-01-24,12:20:26 | INFO | beta2: 0.98 | |
| 2025-01-24,12:20:26 | INFO | beta_decay_epochs: 16 | |
| 2025-01-24,12:20:26 | INFO | cache_dir: None | |
| 2025-01-24,12:20:26 | INFO | calculate_full: True | |
| 2025-01-24,12:20:26 | INFO | checkpoint_path: ./logs/ens_fix-bias-14.27sample-negFalse-scaleTrue-pos1.0-eps1e-06-stocFalselr0.0004-ViT-B-32-1024_0124122025/checkpoints | |
| 2025-01-24,12:20:26 | INFO | coca_caption_loss_weight: 2.0 | |
| 2025-01-24,12:20:26 | INFO | coca_contrastive_loss_weight: 1.0 | |
| 2025-01-24,12:20:26 | INFO | contrast_neg_only: False | |
| 2025-01-24,12:20:26 | INFO | copy_codebase: False | |
| 2025-01-24,12:20:26 | INFO | csv_caption_key: title | |
| 2025-01-24,12:20:26 | INFO | csv_img_key: filepath | |
| 2025-01-24,12:20:26 | INFO | csv_separator: | |
| 2025-01-24,12:20:26 | INFO | dataset_resampled: False | |
| 2025-01-24,12:20:26 | INFO | dataset_type: webdataset | |
| 2025-01-24,12:20:26 | INFO | ddp_static_graph: False | |
| 2025-01-24,12:20:26 | INFO | debug: False | |
| 2025-01-24,12:20:26 | INFO | delete_previous_checkpoint: False | |
| 2025-01-24,12:20:26 | INFO | denormalize_features: False | |
| 2025-01-24,12:20:26 | INFO | device: cuda:0 | |
| 2025-01-24,12:20:26 | INFO | dist_backend: None | |
| 2025-01-24,12:20:26 | INFO | dist_url: None | |
| 2025-01-24,12:20:26 | INFO | distill: False | |
| 2025-01-24,12:20:26 | INFO | distill_model: None | |
| 2025-01-24,12:20:26 | INFO | distill_pretrained: None | |
| 2025-01-24,12:20:26 | INFO | distributed: True | |
| 2025-01-24,12:20:26 | INFO | ema_z_mode: ema_n_sample | |
| 2025-01-24,12:20:26 | INFO | epochs: 33 | |
| 2025-01-24,12:20:26 | INFO | epochs_cooldown: None | |
| 2025-01-24,12:20:26 | INFO | eps: 1e-06 | |
| 2025-01-24,12:20:26 | INFO | fit_neg_only: True | |
| 2025-01-24,12:20:26 | INFO | fit_w_prev: False | |
| 2025-01-24,12:20:26 | INFO | force_custom_text: False | |
| 2025-01-24,12:20:26 | INFO | force_image_size: None | |
| 2025-01-24,12:20:26 | INFO | force_patch_dropout: None | |
| 2025-01-24,12:20:26 | INFO | force_quick_gelu: False | |
| 2025-01-24,12:20:26 | INFO | freeze_lambda_after_num_epochs: 100 | |
| 2025-01-24,12:20:26 | INFO | gather_with_grad: True | |
| 2025-01-24,12:20:26 | INFO | grad_checkpointing: False | |
| 2025-01-24,12:20:26 | INFO | grad_clip_norm: 1.0 | |
| 2025-01-24,12:20:26 | INFO | h_dim_factor: 4 | |
| 2025-01-24,12:20:26 | INFO | horovod: False | |
| 2025-01-24,12:20:26 | INFO | image_interpolation: None | |
| 2025-01-24,12:20:26 | INFO | image_mean: None | |
| 2025-01-24,12:20:26 | INFO | image_resize_mode: None | |
| 2025-01-24,12:20:26 | INFO | image_std: None | |
| 2025-01-24,12:20:26 | INFO | imagenet_v2: None | |
| 2025-01-24,12:20:26 | INFO | imagenet_val: None | |
| 2025-01-24,12:20:26 | INFO | init_lambda: 1.0 | |
| 2025-01-24,12:20:26 | INFO | init_logit_bias: -14.27 | |
| 2025-01-24,12:20:26 | INFO | init_logit_scale: None | |
| 2025-01-24,12:20:26 | INFO | lambda_eps: 1e-12 | |
| 2025-01-24,12:20:26 | INFO | lambda_lr: 0.001 | |
| 2025-01-24,12:20:26 | INFO | lambda_tolerance: 0.0005 | |
| 2025-01-24,12:20:26 | INFO | lambda_update_frequency: [10] | |
| 2025-01-24,12:20:26 | INFO | learn_logit_bias: True | |
| 2025-01-24,12:20:26 | INFO | learn_logit_scale: True | |
| 2025-01-24,12:20:26 | INFO | local_loss: True | |
| 2025-01-24,12:20:26 | INFO | local_rank: 0 | |
| 2025-01-24,12:20:26 | INFO | lock_image: False | |
| 2025-01-24,12:20:26 | INFO | lock_image_freeze_bn_stats: False | |
| 2025-01-24,12:20:26 | INFO | lock_image_unlocked_groups: 0 | |
| 2025-01-24,12:20:26 | INFO | lock_text: False | |
| 2025-01-24,12:20:26 | INFO | lock_text_freeze_layer_norm: False | |
| 2025-01-24,12:20:26 | INFO | lock_text_unlocked_layers: 0 | |
| 2025-01-24,12:20:26 | INFO | log_every_n_steps: 100 | |
| 2025-01-24,12:20:26 | INFO | log_level: 20 | |
| 2025-01-24,12:20:26 | INFO | log_local: False | |
| 2025-01-24,12:20:26 | INFO | log_path: ./logs/ens_fix-bias-14.27sample-negFalse-scaleTrue-pos1.0-eps1e-06-stocFalselr0.0004-ViT-B-32-1024_0124122025/out.log | |
| 2025-01-24,12:20:26 | INFO | logit_scale_clamp: 100 | |
| 2025-01-24,12:20:26 | INFO | logs: ./logs/ | |
| 2025-01-24,12:20:26 | INFO | loss_type: COND_EXP | |
| 2025-01-24,12:20:26 | INFO | lr: 0.0004 | |
| 2025-01-24,12:20:26 | INFO | lr_cooldown_end: 0.0 | |
| 2025-01-24,12:20:26 | INFO | lr_cooldown_power: 1.0 | |
| 2025-01-24,12:20:26 | INFO | lr_scheduler: cosine | |
| 2025-01-24,12:20:26 | INFO | lr_tau: 0.0001 | |
| 2025-01-24,12:20:26 | INFO | model: ViT-B-32 | |
| 2025-01-24,12:20:26 | INFO | model_beta_init: 0.0 | |
| 2025-01-24,12:20:26 | INFO | model_ema_beta: 0.9992 | |
| 2025-01-24,12:20:26 | INFO | model_update_type: ONE_STEP | |
| 2025-01-24,12:20:26 | INFO | n_class_tokens: -1 | |
| 2025-01-24,12:20:26 | INFO | name: ens_fix-bias-14.27sample-negFalse-scaleTrue-pos1.0-eps1e-06-stocFalselr0.0004-ViT-B-32-1024_0124122025 | |
| 2025-01-24,12:20:26 | INFO | no_set_device_rank: False | |
| 2025-01-24,12:20:26 | INFO | norm_cap: 1.0 | |
| 2025-01-24,12:20:26 | INFO | normalize_type: L2 | |
| 2025-01-24,12:20:26 | INFO | note: ens_fix | |
| 2025-01-24,12:20:26 | INFO | pos_coef: 1.0 | |
| 2025-01-24,12:20:26 | INFO | precision: amp | |
| 2025-01-24,12:20:26 | INFO | pretrained: | |
| 2025-01-24,12:20:26 | INFO | pretrained_image: False | |
| 2025-01-24,12:20:26 | INFO | rank: 0 | |
| 2025-01-24,12:20:26 | INFO | remote_sync: None | |
| 2025-01-24,12:20:26 | INFO | remote_sync_frequency: 300 | |
| 2025-01-24,12:20:26 | INFO | remote_sync_protocol: s3 | |
| 2025-01-24,12:20:26 | INFO | report_to: wandb | |
| 2025-01-24,12:20:26 | INFO | resume: None | |
| 2025-01-24,12:20:26 | INFO | save_frequency: 1 | |
| 2025-01-24,12:20:26 | INFO | save_most_recent: False | |
| 2025-01-24,12:20:26 | INFO | scale_loss: True | |
| 2025-01-24,12:20:26 | INFO | seed: 42 | |
| 2025-01-24,12:20:26 | INFO | siglip: False | |
| 2025-01-24,12:20:26 | INFO | skip_scheduler: False | |
| 2025-01-24,12:20:26 | INFO | stoc_fit_lambda: False | |
| 2025-01-24,12:20:26 | INFO | tensorboard: False | |
| 2025-01-24,12:20:26 | INFO | tensorboard_path: | |
| 2025-01-24,12:20:26 | INFO | torchcompile: False | |
| 2025-01-24,12:20:26 | INFO | torchscript: False | |
| 2025-01-24,12:20:26 | INFO | trace: False | |
| 2025-01-24,12:20:26 | INFO | train_data: /localscratch/mm_datasets/cc12m/cc12m/{00000..01240}.tar | |
| 2025-01-24,12:20:26 | INFO | train_data_upsampling_factors: None | |
| 2025-01-24,12:20:26 | INFO | train_num_samples: 9187328 | |
| 2025-01-24,12:20:26 | INFO | update_ema_mlps_every_n_steps: 10 | |
| 2025-01-24,12:20:26 | INFO | use_bn_sync: False | |
| 2025-01-24,12:20:26 | INFO | use_bnb_linear: None | |
| 2025-01-24,12:20:26 | INFO | use_feature_diff: False | |
| 2025-01-24,12:20:26 | INFO | val_data: /localscratch/mm_datasets/cc12m/cc12m/{01241..01242}.tar | |
| 2025-01-24,12:20:26 | INFO | val_frequency: 1 | |
| 2025-01-24,12:20:26 | INFO | val_num_samples: 205824 | |
| 2025-01-24,12:20:26 | INFO | wandb: True | |
| 2025-01-24,12:20:26 | INFO | wandb_notes: | |
| 2025-01-24,12:20:26 | INFO | wandb_project_name: open-clip | |
| 2025-01-24,12:20:26 | INFO | warmup: 10000 | |
| 2025-01-24,12:20:26 | INFO | wd: 0.1 | |
| 2025-01-24,12:20:26 | INFO | workers: 6 | |
| 2025-01-24,12:20:26 | INFO | world_size: 2 | |
| 2025-01-24,12:20:26 | INFO | z_beta_max: 0.8 | |
| 2025-01-24,12:20:26 | INFO | zeroshot_frequency: 1 | |
| 2025-01-24,12:20:26 | INFO | lr: 0.0004, lr_tau: 0.0001 | |
| 2025-01-24,12:20:26 | INFO | lr: 0.0004, lr_tau: 0.0001 | |
| 2025-01-24,12:20:28 | INFO | Start epoch 0 | |
| 2025-01-24,12:20:34 | INFO | Train Epoch: 0 [ 2048/9191424 (0%)] Step: 0.0K | Data (t): 4.240 Batch (t): 6.873, 297.998/s, 148.999/s/gpu Logit Scale: 14.286 | Logit Bias: -14.270 | Lambda Scalar: 0.000 | Total_loss: 0.67519 (0.67519) Joint_loss: -0.82435 (-0.82435) Cross_loss: 1.9950 (1.9950) Image_lambda_loss: 0.028160 (0.028160) Text_lambda_loss: 0.12166 (0.12166) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:22:18 | INFO | Train Epoch: 0 [ 206848/9191424 (2%)] Step: 0.1K | Data (t): 0.066 Batch (t): 1.039, 1954.05/s, 977.026/s/gpu Logit Scale: 14.430 | Logit Bias: -14.280 | Lambda Scalar: 0.000 | Total_loss: 0.44864 (0.56191) Joint_loss: 2.2409 (0.70826) Cross_loss: 1.9977 (1.9964) Image_lambda_loss: 0.0090206 (0.018590) Text_lambda_loss: 0.0059401 (0.063800) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:24:03 | INFO | Train Epoch: 0 [ 411648/9191424 (4%)] Step: 0.2K | Data (t): 0.070 Batch (t): 1.047, 1918.54/s, 959.270/s/gpu Logit Scale: 14.574 | Logit Bias: -14.290 | Lambda Scalar: 0.000 | Total_loss: 0.32247 (0.48210) Joint_loss: 3.9568 (1.7911) Cross_loss: 2.0006 (1.9978) Image_lambda_loss: 0.017358 (0.018179) Text_lambda_loss: 0.016516 (0.048039) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:25:48 | INFO | Train Epoch: 0 [ 616448/9191424 (7%)] Step: 0.3K | Data (t): 0.069 Batch (t): 1.044, 1906.21/s, 953.104/s/gpu Logit Scale: 14.715 | Logit Bias: -14.300 | Lambda Scalar: 0.000 | Total_loss: 0.26933 (0.42891) Joint_loss: 4.6718 (2.5113) Cross_loss: 2.0048 (1.9995) Image_lambda_loss: 0.019045 (0.018396) Text_lambda_loss: 0.026581 (0.042675) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:27:32 | INFO | Train Epoch: 0 [ 821248/9191424 (9%)] Step: 0.4K | Data (t): 0.069 Batch (t): 1.045, 2007.50/s, 1003.75/s/gpu Logit Scale: 14.846 | Logit Bias: -14.309 | Lambda Scalar: 0.000 | Total_loss: 0.22005 (0.38714) Joint_loss: 5.3316 (3.0754) Cross_loss: 1.9922 (1.9981) Image_lambda_loss: 0.023313 (0.019379) Text_lambda_loss: 0.057748 (0.045689) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:29:16 | INFO | Train Epoch: 0 [1026048/9191424 (11%)] Step: 0.5K | Data (t): 0.068 Batch (t): 1.042, 1928.74/s, 964.372/s/gpu Logit Scale: 14.988 | Logit Bias: -14.318 | Lambda Scalar: 0.000 | Total_loss: 0.061514 (0.33287) Joint_loss: 7.5972 (3.8290) Cross_loss: 1.9895 (1.9966) Image_lambda_loss: 0.030427 (0.021221) Text_lambda_loss: 0.040289 (0.044789) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:31:02 | INFO | Train Epoch: 0 [1230848/9191424 (13%)] Step: 0.6K | Data (t): 0.069 Batch (t): 1.053, 1930.17/s, 965.086/s/gpu Logit Scale: 15.133 | Logit Bias: -14.328 | Lambda Scalar: 0.000 | Total_loss: 0.022195 (0.28848) Joint_loss: 8.1742 (4.4498) Cross_loss: 1.9993 (1.9970) Image_lambda_loss: 0.055406 (0.026104) Text_lambda_loss: 0.11227 (0.054429) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:32:46 | INFO | Train Epoch: 0 [1435648/9191424 (16%)] Step: 0.7K | Data (t): 0.070 Batch (t): 1.049, 1920.22/s, 960.110/s/gpu Logit Scale: 15.283 | Logit Bias: -14.338 | Lambda Scalar: 0.000 | Total_loss: 0.014453 (0.25423) Joint_loss: 8.2922 (4.9301) Cross_loss: 2.0061 (1.9982) Image_lambda_loss: 0.046452 (0.028648) Text_lambda_loss: 0.079609 (0.057576) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:34:32 | INFO | Train Epoch: 0 [1640448/9191424 (18%)] Step: 0.8K | Data (t): 0.069 Batch (t): 1.051, 1928.93/s, 964.465/s/gpu Logit Scale: 15.435 | Logit Bias: -14.348 | Lambda Scalar: 0.000 | Total_loss: 0.015437 (0.22770) Joint_loss: 8.2722 (5.3014) Cross_loss: 2.0029 (1.9987) Image_lambda_loss: 0.038858 (0.029782) Text_lambda_loss: 0.051017 (0.056848) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:36:17 | INFO | Train Epoch: 0 [1845248/9191424 (20%)] Step: 0.9K | Data (t): 0.072 Batch (t): 1.051, 1958.77/s, 979.387/s/gpu Logit Scale: 15.591 | Logit Bias: -14.358 | Lambda Scalar: 0.000 | Total_loss: -0.089078 (0.19602) Joint_loss: 9.8463 (5.7559) Cross_loss: 2.0007 (1.9989) Image_lambda_loss: 0.068384 (0.033642) Text_lambda_loss: 0.066085 (0.057771) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:38:01 | INFO | Train Epoch: 0 [2050048/9191424 (22%)] Step: 1.0K | Data (t): 0.074 Batch (t): 1.046, 1954.93/s, 977.463/s/gpu Logit Scale: 15.745 | Logit Bias: -14.368 | Lambda Scalar: 0.000 | Total_loss: -0.10900 (0.16829) Joint_loss: 10.160 (6.1563) Cross_loss: 1.9968 (1.9987) Image_lambda_loss: 0.047482 (0.034900) Text_lambda_loss: 0.097577 (0.061390) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:39:46 | INFO | Train Epoch: 0 [2254848/9191424 (25%)] Step: 1.1K | Data (t): 0.077 Batch (t): 1.050, 1955.22/s, 977.611/s/gpu Logit Scale: 15.903 | Logit Bias: -14.378 | Lambda Scalar: 0.000 | Total_loss: -0.10463 (0.14555) Joint_loss: 10.123 (6.4869) Cross_loss: 2.0100 (1.9996) Image_lambda_loss: 0.047558 (0.035955) Text_lambda_loss: 0.080372 (0.062972) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:41:31 | INFO | Train Epoch: 0 [2459648/9191424 (27%)] Step: 1.2K | Data (t): 0.076 Batch (t): 1.050, 1934.56/s, 967.280/s/gpu Logit Scale: 16.064 | Logit Bias: -14.388 | Lambda Scalar: 0.000 | Total_loss: -0.14559 (0.12315) Joint_loss: 10.759 (6.8155) Cross_loss: 1.9912 (1.9990) Image_lambda_loss: 0.042774 (0.036480) Text_lambda_loss: 0.075313 (0.063921) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:43:17 | INFO | Train Epoch: 0 [2664448/9191424 (29%)] Step: 1.3K | Data (t): 0.081 Batch (t): 1.056, 1913.46/s, 956.731/s/gpu Logit Scale: 16.224 | Logit Bias: -14.398 | Lambda Scalar: 0.000 | Total_loss: -0.19610 (0.10035) Joint_loss: 11.586 (7.1563) Cross_loss: 1.9993 (1.9990) Image_lambda_loss: 0.057971 (0.038015) Text_lambda_loss: 0.10803 (0.067072) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:45:02 | INFO | Train Epoch: 0 [2869248/9191424 (31%)] Step: 1.4K | Data (t): 0.078 Batch (t): 1.053, 1926.19/s, 963.094/s/gpu Logit Scale: 16.384 | Logit Bias: -14.407 | Lambda Scalar: 0.000 | Total_loss: -0.19620 (0.080578) Joint_loss: 11.624 (7.4541) Cross_loss: 2.0043 (1.9994) Image_lambda_loss: 0.062128 (0.039622) Text_lambda_loss: 0.096837 (0.069056) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:46:48 | INFO | Train Epoch: 0 [3074048/9191424 (33%)] Step: 1.5K | Data (t): 0.078 Batch (t): 1.053, 1983.68/s, 991.841/s/gpu Logit Scale: 16.548 | Logit Bias: -14.417 | Lambda Scalar: 0.000 | Total_loss: -0.16288 (0.065362) Joint_loss: 11.121 (7.6833) Cross_loss: 2.0052 (1.9997) Image_lambda_loss: 0.059734 (0.040879) Text_lambda_loss: 0.068081 (0.068995) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:48:33 | INFO | Train Epoch: 0 [3278848/9191424 (36%)] Step: 1.6K | Data (t): 0.078 Batch (t): 1.050, 1952.18/s, 976.092/s/gpu Logit Scale: 16.712 | Logit Bias: -14.427 | Lambda Scalar: 0.000 | Total_loss: -0.22054 (0.048544) Joint_loss: 12.074 (7.9416) Cross_loss: 1.9952 (1.9995) Image_lambda_loss: 0.051127 (0.041482) Text_lambda_loss: 0.074448 (0.069316) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:50:17 | INFO | Train Epoch: 0 [3483648/9191424 (38%)] Step: 1.7K | Data (t): 0.072 Batch (t): 1.043, 2022.43/s, 1011.21/s/gpu Logit Scale: 16.879 | Logit Bias: -14.437 | Lambda Scalar: 0.000 | Total_loss: -0.24986 (0.031966) Joint_loss: 12.601 (8.2004) Cross_loss: 2.0050 (1.9998) Image_lambda_loss: 0.060760 (0.042553) Text_lambda_loss: 0.10750 (0.071438) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:52:01 | INFO | Train Epoch: 0 [3688448/9191424 (40%)] Step: 1.8K | Data (t): 0.072 Batch (t): 1.043, 1952.77/s, 976.387/s/gpu Logit Scale: 17.048 | Logit Bias: -14.447 | Lambda Scalar: 0.000 | Total_loss: -0.25524 (0.016850) Joint_loss: 12.735 (8.4391) Cross_loss: 2.0074 (2.0002) Image_lambda_loss: 0.060934 (0.043521) Text_lambda_loss: 0.083502 (0.072073) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:53:46 | INFO | Train Epoch: 0 [3893248/9191424 (42%)] Step: 1.9K | Data (t): 0.076 Batch (t): 1.049, 1931.69/s, 965.843/s/gpu Logit Scale: 17.217 | Logit Bias: -14.457 | Lambda Scalar: 0.000 | Total_loss: -0.22930 (0.0045428) Joint_loss: 12.345 (8.6344) Cross_loss: 2.0086 (2.0006) Image_lambda_loss: 0.057007 (0.044195) Text_lambda_loss: 0.095769 (0.073257) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:55:30 | INFO | Train Epoch: 0 [4098048/9191424 (45%)] Step: 2.0K | Data (t): 0.074 Batch (t): 1.044, 1936.74/s, 968.372/s/gpu Logit Scale: 17.389 | Logit Bias: -14.467 | Lambda Scalar: 0.000 | Total_loss: -0.28833 (-0.0094034) Joint_loss: 13.367 (8.8597) Cross_loss: 1.9932 (2.0002) Image_lambda_loss: 0.070041 (0.045426) Text_lambda_loss: 0.10696 (0.074862) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:57:14 | INFO | Train Epoch: 0 [4302848/9191424 (47%)] Step: 2.1K | Data (t): 0.072 Batch (t): 1.039, 1969.70/s, 984.850/s/gpu Logit Scale: 17.561 | Logit Bias: -14.477 | Lambda Scalar: 0.000 | Total_loss: -0.29341 (-0.022313) Joint_loss: 13.510 (9.0711) Cross_loss: 2.0000 (2.0002) Image_lambda_loss: 0.059020 (0.046044) Text_lambda_loss: 0.099139 (0.075966) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,12:58:59 | INFO | Train Epoch: 0 [4507648/9191424 (49%)] Step: 2.2K | Data (t): 0.073 Batch (t): 1.043, 1958.58/s, 979.292/s/gpu Logit Scale: 17.737 | Logit Bias: -14.487 | Lambda Scalar: 0.000 | Total_loss: -0.26378 (-0.032811) Joint_loss: 13.045 (9.2439) Cross_loss: 1.9946 (2.0000) Image_lambda_loss: 0.061954 (0.046735) Text_lambda_loss: 0.091256 (0.076630) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:00:43 | INFO | Train Epoch: 0 [4712448/9191424 (51%)] Step: 2.3K | Data (t): 0.070 Batch (t): 1.040, 2001.38/s, 1000.69/s/gpu Logit Scale: 17.915 | Logit Bias: -14.497 | Lambda Scalar: 0.000 | Total_loss: -0.28380 (-0.043269) Joint_loss: 13.456 (9.4194) Cross_loss: 2.0098 (2.0004) Image_lambda_loss: 0.085532 (0.048352) Text_lambda_loss: 0.11268 (0.078133) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:02:26 | INFO | Train Epoch: 0 [4917248/9191424 (53%)] Step: 2.4K | Data (t): 0.066 Batch (t): 1.034, 1969.98/s, 984.990/s/gpu Logit Scale: 18.094 | Logit Bias: -14.507 | Lambda Scalar: 0.000 | Total_loss: -0.33482 (-0.054931) Joint_loss: 14.384 (9.6179) Cross_loss: 1.9883 (1.9999) Image_lambda_loss: 0.078117 (0.049543) Text_lambda_loss: 0.11255 (0.079509) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:04:09 | INFO | Train Epoch: 0 [5122048/9191424 (56%)] Step: 2.5K | Data (t): 0.069 Batch (t): 1.035, 1940.21/s, 970.107/s/gpu Logit Scale: 18.275 | Logit Bias: -14.517 | Lambda Scalar: 0.000 | Total_loss: -0.32015 (-0.065132) Joint_loss: 14.199 (9.7941) Cross_loss: 2.0037 (2.0001) Image_lambda_loss: 0.088421 (0.051038) Text_lambda_loss: 0.094352 (0.080080) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:05:53 | INFO | Train Epoch: 0 [5326848/9191424 (58%)] Step: 2.6K | Data (t): 0.070 Batch (t): 1.036, 1986.46/s, 993.230/s/gpu Logit Scale: 18.458 | Logit Bias: -14.527 | Lambda Scalar: 0.000 | Total_loss: -0.29261 (-0.073557) Joint_loss: 13.752 (9.9407) Cross_loss: 1.9938 (1.9998) Image_lambda_loss: 0.072189 (0.051821) Text_lambda_loss: 0.12771 (0.081844) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:07:37 | INFO | Train Epoch: 0 [5531648/9191424 (60%)] Step: 2.7K | Data (t): 0.069 Batch (t): 1.043, 1957.86/s, 978.929/s/gpu Logit Scale: 18.642 | Logit Bias: -14.537 | Lambda Scalar: 0.000 | Total_loss: -0.33123 (-0.082760) Joint_loss: 14.516 (10.104) Cross_loss: 2.0026 (1.9999) Image_lambda_loss: 0.078542 (0.052776) Text_lambda_loss: 0.11729 (0.083110) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:09:22 | INFO | Train Epoch: 0 [5736448/9191424 (62%)] Step: 2.8K | Data (t): 0.071 Batch (t): 1.043, 1955.90/s, 977.952/s/gpu Logit Scale: 18.829 | Logit Bias: -14.547 | Lambda Scalar: 0.000 | Total_loss: -0.36950 (-0.092647) Joint_loss: 15.288 (10.283) Cross_loss: 2.0106 (2.0003) Image_lambda_loss: 0.072845 (0.053468) Text_lambda_loss: 0.14242 (0.085155) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:11:05 | INFO | Train Epoch: 0 [5941248/9191424 (65%)] Step: 2.9K | Data (t): 0.067 Batch (t): 1.035, 2055.54/s, 1027.77/s/gpu Logit Scale: 19.018 | Logit Bias: -14.556 | Lambda Scalar: 0.000 | Total_loss: -0.34082 (-0.10092) Joint_loss: 14.830 (10.434) Cross_loss: 2.0145 (2.0008) Image_lambda_loss: 0.085591 (0.054538) Text_lambda_loss: 0.13401 (0.086784) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:12:49 | INFO | Train Epoch: 0 [6146048/9191424 (67%)] Step: 3.0K | Data (t): 0.067 Batch (t): 1.036, 1980.56/s, 990.279/s/gpu Logit Scale: 19.208 | Logit Bias: -14.566 | Lambda Scalar: 0.000 | Total_loss: -0.29886 (-0.10731) Joint_loss: 14.094 (10.553) Cross_loss: 1.9987 (2.0007) Image_lambda_loss: 0.093764 (0.055804) Text_lambda_loss: 0.12575 (0.088041) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:14:33 | INFO | Train Epoch: 0 [6350848/9191424 (69%)] Step: 3.1K | Data (t): 0.071 Batch (t): 1.038, 1976.74/s, 988.368/s/gpu Logit Scale: 19.401 | Logit Bias: -14.576 | Lambda Scalar: 0.000 | Total_loss: -0.37158 (-0.11556) Joint_loss: 15.519 (10.708) Cross_loss: 1.9915 (2.0004) Image_lambda_loss: 0.096139 (0.057064) Text_lambda_loss: 0.13947 (0.089648) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:16:16 | INFO | Train Epoch: 0 [6555648/9191424 (71%)] Step: 3.2K | Data (t): 0.069 Batch (t): 1.037, 2023.32/s, 1011.66/s/gpu Logit Scale: 19.595 | Logit Bias: -14.586 | Lambda Scalar: 0.000 | Total_loss: -0.38626 (-0.12377) Joint_loss: 15.888 (10.865) Cross_loss: 2.0075 (2.0006) Image_lambda_loss: 0.099613 (0.058354) Text_lambda_loss: 0.13143 (0.090914) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:18:00 | INFO | Train Epoch: 0 [6760448/9191424 (74%)] Step: 3.3K | Data (t): 0.069 Batch (t): 1.038, 2003.31/s, 1001.65/s/gpu Logit Scale: 19.791 | Logit Bias: -14.596 | Lambda Scalar: 0.000 | Total_loss: -0.36838 (-0.13096) Joint_loss: 15.623 (11.005) Cross_loss: 2.0124 (2.0010) Image_lambda_loss: 0.098403 (0.059531) Text_lambda_loss: 0.12868 (0.092025) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:19:44 | INFO | Train Epoch: 0 [6965248/9191424 (76%)] Step: 3.4K | Data (t): 0.068 Batch (t): 1.036, 1995.03/s, 997.513/s/gpu Logit Scale: 19.989 | Logit Bias: -14.606 | Lambda Scalar: 0.000 | Total_loss: -0.35236 (-0.13729) Joint_loss: 15.361 (11.129) Cross_loss: 1.9898 (2.0007) Image_lambda_loss: 0.12317 (0.061350) Text_lambda_loss: 0.16048 (0.093981) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:21:28 | INFO | Train Epoch: 0 [7170048/9191424 (78%)] Step: 3.5K | Data (t): 0.071 Batch (t): 1.041, 2013.78/s, 1006.89/s/gpu Logit Scale: 20.189 | Logit Bias: -14.616 | Lambda Scalar: 0.000 | Total_loss: -0.37829 (-0.14398) Joint_loss: 15.949 (11.263) Cross_loss: 1.9961 (2.0005) Image_lambda_loss: 0.10221 (0.062485) Text_lambda_loss: 0.12376 (0.094808) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:23:12 | INFO | Train Epoch: 0 [7374848/9191424 (80%)] Step: 3.6K | Data (t): 0.069 Batch (t): 1.043, 1959.30/s, 979.651/s/gpu Logit Scale: 20.391 | Logit Bias: -14.626 | Lambda Scalar: 0.000 | Total_loss: -0.38091 (-0.15038) Joint_loss: 16.093 (11.394) Cross_loss: 2.0117 (2.0008) Image_lambda_loss: 0.11774 (0.063978) Text_lambda_loss: 0.15618 (0.096467) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:24:56 | INFO | Train Epoch: 0 [7579648/9191424 (82%)] Step: 3.7K | Data (t): 0.070 Batch (t): 1.042, 1943.65/s, 971.826/s/gpu Logit Scale: 20.595 | Logit Bias: -14.636 | Lambda Scalar: 0.000 | Total_loss: -0.33785 (-0.15532) Joint_loss: 15.307 (11.497) Cross_loss: 2.0137 (2.0012) Image_lambda_loss: 0.10524 (0.065064) Text_lambda_loss: 0.16229 (0.098199) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:26:41 | INFO | Train Epoch: 0 [7784448/9191424 (85%)] Step: 3.8K | Data (t): 0.073 Batch (t): 1.045, 1971.21/s, 985.606/s/gpu Logit Scale: 20.801 | Logit Bias: -14.646 | Lambda Scalar: 0.000 | Total_loss: -0.40885 (-0.16182) Joint_loss: 16.804 (11.633) Cross_loss: 1.9991 (2.0011) Image_lambda_loss: 0.12282 (0.066545) Text_lambda_loss: 0.17057 (0.10005) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:28:25 | INFO | Train Epoch: 0 [7989248/9191424 (87%)] Step: 3.9K | Data (t): 0.070 Batch (t): 1.040, 1959.35/s, 979.677/s/gpu Logit Scale: 21.010 | Logit Bias: -14.656 | Lambda Scalar: 0.000 | Total_loss: -0.40886 (-0.16800) Joint_loss: 16.883 (11.764) Cross_loss: 1.9923 (2.0009) Image_lambda_loss: 0.11815 (0.067835) Text_lambda_loss: 0.14475 (0.10117) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:30:09 | INFO | Train Epoch: 0 [8194048/9191424 (89%)] Step: 4.0K | Data (t): 0.069 Batch (t): 1.040, 1986.37/s, 993.183/s/gpu Logit Scale: 21.220 | Logit Bias: -14.666 | Lambda Scalar: 0.000 | Total_loss: -0.38252 (-0.17323) Joint_loss: 16.420 (11.877) Cross_loss: 1.9904 (2.0006) Image_lambda_loss: 0.11141 (0.068898) Text_lambda_loss: 0.16979 (0.10285) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:31:53 | INFO | Train Epoch: 0 [8398848/9191424 (91%)] Step: 4.1K | Data (t): 0.069 Batch (t): 1.040, 1964.45/s, 982.227/s/gpu Logit Scale: 21.432 | Logit Bias: -14.676 | Lambda Scalar: 0.000 | Total_loss: -0.36691 (-0.17784) Joint_loss: 16.193 (11.980) Cross_loss: 2.0084 (2.0008) Image_lambda_loss: 0.12192 (0.070160) Text_lambda_loss: 0.15203 (0.10402) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:33:37 | INFO | Train Epoch: 0 [8603648/9191424 (94%)] Step: 4.2K | Data (t): 0.072 Batch (t): 1.044, 1978.82/s, 989.410/s/gpu Logit Scale: 21.646 | Logit Bias: -14.686 | Lambda Scalar: 0.000 | Total_loss: -0.44573 (-0.18407) Joint_loss: 17.937 (12.119) Cross_loss: 2.0061 (2.0009) Image_lambda_loss: 0.15560 (0.072147) Text_lambda_loss: 0.21438 (0.10658) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:35:21 | INFO | Train Epoch: 0 [8808448/9191424 (96%)] Step: 4.3K | Data (t): 0.072 Batch (t): 1.041, 1968.57/s, 984.286/s/gpu Logit Scale: 21.863 | Logit Bias: -14.696 | Lambda Scalar: 0.000 | Total_loss: -0.41109 (-0.18923) Joint_loss: 17.283 (12.236) Cross_loss: 1.9965 (2.0008) Image_lambda_loss: 0.13984 (0.073686) Text_lambda_loss: 0.16389 (0.10789) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:37:06 | INFO | Train Epoch: 0 [9013248/9191424 (98%)] Step: 4.4K | Data (t): 0.075 Batch (t): 1.043, 1933.42/s, 966.712/s/gpu Logit Scale: 22.082 | Logit Bias: -14.706 | Lambda Scalar: 0.000 | Total_loss: -0.38866 (-0.19366) Joint_loss: 16.902 (12.340) Cross_loss: 2.0093 (2.0010) Image_lambda_loss: 0.14537 (0.075279) Text_lambda_loss: 0.19581 (0.10984) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:38:36 | INFO | Train Epoch: 0 [9191424/9191424 (100%)] Step: 4.5K | Data (t): 0.072 Batch (t): 1.042, 1964.05/s, 982.027/s/gpu Logit Scale: 22.274 | Logit Bias: -14.714 | Lambda Scalar: 0.000 | Total_loss: -0.37615 (-0.19763) Joint_loss: 16.708 (12.435) Cross_loss: 2.0135 (2.0013) Image_lambda_loss: 0.15936 (0.077107) Text_lambda_loss: 0.21194 (0.11206) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | | |
| 2025-01-24,13:38:40 | INFO | Eval Epoch: 1 [1024 / 205824] Clip Loss: 3.590406 | |
| 2025-01-24,13:39:10 | INFO | Eval Epoch: 1 image_to_text_mean_rank: 236.5504 image_to_text_median_rank: 35.0000 image_to_text_R@1: 0.1076 image_to_text_R@5: 0.2487 image_to_text_R@10: 0.3274 text_to_image_mean_rank: 257.1656 text_to_image_median_rank: 36.0000 text_to_image_R@1: 0.0984 text_to_image_R@5: 0.2368 text_to_image_R@10: 0.3231 clip_val_loss: 3.4103 epoch: 1.0000 num_samples: 8678.0000 | |
| 2025-01-24,13:39:12 | INFO | Start epoch 1 | |
| 2025-01-24,13:39:16 | INFO | Train Epoch: 1 [ 2048/9191424 (0%)] Step: 4.5K | Data (t): 3.724 Batch (t): 4.697, 436.009/s, 218.004/s/gpu Logit Scale: 22.276 | Logit Bias: -14.715 | Lambda Scalar: 0.000 | Total_loss: -0.42856 (-0.42856) Joint_loss: 17.858 (17.858) Cross_loss: 2.0206 (2.0206) Image_lambda_loss: 0.14297 (0.14297) Text_lambda_loss: 0.19890 (0.19890) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,13:41:00 | INFO | Train Epoch: 1 [ 206848/9191424 (2%)] Step: 4.6K | Data (t): 0.069 Batch (t): 1.039, 1992.03/s, 996.017/s/gpu Logit Scale: 22.499 | Logit Bias: -14.725 | Lambda Scalar: 0.000 | Total_loss: -0.39979 (-0.41417) Joint_loss: 17.289 (17.573) Cross_loss: 1.9899 (2.0053) Image_lambda_loss: 0.16687 (0.15492) Text_lambda_loss: 0.21897 (0.20894) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,13:42:44 | INFO | Train Epoch: 1 [ 411648/9191424 (4%)] Step: 4.7K | Data (t): 0.067 Batch (t): 1.036, 1994.16/s, 997.081/s/gpu Logit Scale: 22.724 | Logit Bias: -14.735 | Lambda Scalar: 0.000 | Total_loss: -0.38320 (-0.40385) Joint_loss: 17.019 (17.389) Cross_loss: 1.9984 (2.0030) Image_lambda_loss: 0.16075 (0.15686) Text_lambda_loss: 0.19512 (0.20433) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,13:44:27 | INFO | Train Epoch: 1 [ 616448/9191424 (7%)] Step: 4.8K | Data (t): 0.067 Batch (t): 1.037, 1977.02/s, 988.508/s/gpu Logit Scale: 22.951 | Logit Bias: -14.744 | Lambda Scalar: 0.000 | Total_loss: -0.37673 (-0.39707) Joint_loss: 16.973 (17.285) Cross_loss: 2.0106 (2.0049) Image_lambda_loss: 0.16731 (0.15947) Text_lambda_loss: 0.23584 (0.21221) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,13:46:11 | INFO | Train Epoch: 1 [ 821248/9191424 (9%)] Step: 4.9K | Data (t): 0.069 Batch (t): 1.039, 1936.39/s, 968.195/s/gpu Logit Scale: 23.181 | Logit Bias: -14.754 | Lambda Scalar: 0.000 | Total_loss: -0.38645 (-0.39495) Joint_loss: 17.274 (17.282) Cross_loss: 2.0045 (2.0048) Image_lambda_loss: 0.18788 (0.16516) Text_lambda_loss: 0.23858 (0.21748) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,13:47:55 | INFO | Train Epoch: 1 [1026048/9191424 (11%)] Step: 5.0K | Data (t): 0.069 Batch (t): 1.040, 1978.49/s, 989.245/s/gpu Logit Scale: 23.413 | Logit Bias: -14.764 | Lambda Scalar: 0.000 | Total_loss: -0.39287 (-0.39460) Joint_loss: 17.508 (17.320) Cross_loss: 2.0018 (2.0043) Image_lambda_loss: 0.19705 (0.17047) Text_lambda_loss: 0.25828 (0.22428) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,13:49:39 | INFO | Train Epoch: 1 [1230848/9191424 (13%)] Step: 5.1K | Data (t): 0.069 Batch (t): 1.038, 1966.83/s, 983.415/s/gpu Logit Scale: 23.647 | Logit Bias: -14.774 | Lambda Scalar: 0.000 | Total_loss: -0.38693 (-0.39350) Joint_loss: 17.481 (17.343) Cross_loss: 2.0207 (2.0066) Image_lambda_loss: 0.18388 (0.17239) Text_lambda_loss: 0.20658 (0.22175) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,13:51:23 | INFO | Train Epoch: 1 [1435648/9191424 (16%)] Step: 5.2K | Data (t): 0.070 Batch (t): 1.038, 1962.49/s, 981.246/s/gpu Logit Scale: 23.884 | Logit Bias: -14.784 | Lambda Scalar: 0.000 | Total_loss: -0.36546 (-0.39000) Joint_loss: 17.056 (17.307) Cross_loss: 2.0068 (2.0067) Image_lambda_loss: 0.16230 (0.17113) Text_lambda_loss: 0.19840 (0.21883) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,13:53:07 | INFO | Train Epoch: 1 [1640448/9191424 (18%)] Step: 5.3K | Data (t): 0.070 Batch (t): 1.039, 1936.57/s, 968.284/s/gpu Logit Scale: 24.123 | Logit Bias: -14.794 | Lambda Scalar: 0.000 | Total_loss: -0.39808 (-0.39090) Joint_loss: 17.903 (17.373) Cross_loss: 1.9951 (2.0054) Image_lambda_loss: 0.16652 (0.17062) Text_lambda_loss: 0.21894 (0.21885) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,13:54:51 | INFO | Train Epoch: 1 [1845248/9191424 (20%)] Step: 5.4K | Data (t): 0.070 Batch (t): 1.038, 1949.17/s, 974.583/s/gpu Logit Scale: 24.364 | Logit Bias: -14.804 | Lambda Scalar: 0.000 | Total_loss: -0.42221 (-0.39403) Joint_loss: 18.590 (17.495) Cross_loss: 2.0105 (2.0059) Image_lambda_loss: 0.19695 (0.17325) Text_lambda_loss: 0.21739 (0.21870) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,13:56:34 | INFO | Train Epoch: 1 [2050048/9191424 (22%)] Step: 5.5K | Data (t): 0.068 Batch (t): 1.038, 1969.15/s, 984.577/s/gpu Logit Scale: 24.608 | Logit Bias: -14.814 | Lambda Scalar: 0.000 | Total_loss: -0.38092 (-0.39284) Joint_loss: 17.704 (17.514) Cross_loss: 2.0173 (2.0069) Image_lambda_loss: 0.17332 (0.17326) Text_lambda_loss: 0.20739 (0.21767) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,13:58:18 | INFO | Train Epoch: 1 [2254848/9191424 (25%)] Step: 5.6K | Data (t): 0.068 Batch (t): 1.034, 2015.24/s, 1007.62/s/gpu Logit Scale: 24.854 | Logit Bias: -14.824 | Lambda Scalar: 0.000 | Total_loss: -0.36523 (-0.39054) Joint_loss: 17.422 (17.506) Cross_loss: 2.0232 (2.0083) Image_lambda_loss: 0.23006 (0.17799) Text_lambda_loss: 0.25697 (0.22095) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:00:02 | INFO | Train Epoch: 1 [2459648/9191424 (27%)] Step: 5.7K | Data (t): 0.072 Batch (t): 1.039, 1968.42/s, 984.210/s/gpu Logit Scale: 25.103 | Logit Bias: -14.834 | Lambda Scalar: 0.000 | Total_loss: -0.40611 (-0.39173) Joint_loss: 18.494 (17.582) Cross_loss: 1.9988 (2.0076) Image_lambda_loss: 0.19679 (0.17944) Text_lambda_loss: 0.22108 (0.22096) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:01:46 | INFO | Train Epoch: 1 [2664448/9191424 (29%)] Step: 5.8K | Data (t): 0.071 Batch (t): 1.039, 1973.68/s, 986.840/s/gpu Logit Scale: 25.354 | Logit Bias: -14.844 | Lambda Scalar: 0.000 | Total_loss: -0.38783 (-0.39145) Joint_loss: 18.146 (17.623) Cross_loss: 2.0030 (2.0072) Image_lambda_loss: 0.21638 (0.18207) Text_lambda_loss: 0.27444 (0.22478) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:03:29 | INFO | Train Epoch: 1 [2869248/9191424 (31%)] Step: 5.9K | Data (t): 0.071 Batch (t): 1.038, 1966.44/s, 983.221/s/gpu Logit Scale: 25.608 | Logit Bias: -14.854 | Lambda Scalar: 0.000 | Total_loss: -0.38955 (-0.39133) Joint_loss: 18.298 (17.668) Cross_loss: 2.0131 (2.0076) Image_lambda_loss: 0.19472 (0.18292) Text_lambda_loss: 0.27403 (0.22806) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:05:13 | INFO | Train Epoch: 1 [3074048/9191424 (33%)] Step: 6.0K | Data (t): 0.070 Batch (t): 1.036, 1975.44/s, 987.721/s/gpu Logit Scale: 25.864 | Logit Bias: -14.864 | Lambda Scalar: 0.000 | Total_loss: -0.38138 (-0.39071) Joint_loss: 18.169 (17.699) Cross_loss: 1.9923 (2.0067) Image_lambda_loss: 0.26046 (0.18776) Text_lambda_loss: 0.31064 (0.23322) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:06:57 | INFO | Train Epoch: 1 [3278848/9191424 (36%)] Step: 6.1K | Data (t): 0.072 Batch (t): 1.039, 1984.52/s, 992.258/s/gpu Logit Scale: 26.123 | Logit Bias: -14.874 | Lambda Scalar: 0.000 | Total_loss: -0.40519 (-0.39156) Joint_loss: 18.878 (17.768) Cross_loss: 1.9919 (2.0058) Image_lambda_loss: 0.23054 (0.19028) Text_lambda_loss: 0.27297 (0.23556) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:08:41 | INFO | Train Epoch: 1 [3483648/9191424 (38%)] Step: 6.2K | Data (t): 0.074 Batch (t): 1.040, 1997.54/s, 998.768/s/gpu Logit Scale: 26.384 | Logit Bias: -14.884 | Lambda Scalar: 0.000 | Total_loss: -0.39417 (-0.39170) Joint_loss: 18.735 (17.822) Cross_loss: 2.0286 (2.0071) Image_lambda_loss: 0.27394 (0.19493) Text_lambda_loss: 0.33127 (0.24088) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:10:25 | INFO | Train Epoch: 1 [3688448/9191424 (40%)] Step: 6.3K | Data (t): 0.074 Batch (t): 1.044, 1958.43/s, 979.216/s/gpu Logit Scale: 26.648 | Logit Bias: -14.894 | Lambda Scalar: 0.000 | Total_loss: -0.36596 (-0.39035) Joint_loss: 18.073 (17.835) Cross_loss: 2.0001 (2.0067) Image_lambda_loss: 0.24373 (0.19750) Text_lambda_loss: 0.29893 (0.24393) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:12:10 | INFO | Train Epoch: 1 [3893248/9191424 (42%)] Step: 6.4K | Data (t): 0.076 Batch (t): 1.042, 1987.89/s, 993.946/s/gpu Logit Scale: 26.915 | Logit Bias: -14.904 | Lambda Scalar: 0.000 | Total_loss: -0.40811 (-0.39124) Joint_loss: 19.301 (17.908) Cross_loss: 2.0167 (2.0072) Image_lambda_loss: 0.24473 (0.19986) Text_lambda_loss: 0.28499 (0.24599) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:13:54 | INFO | Train Epoch: 1 [4098048/9191424 (45%)] Step: 6.5K | Data (t): 0.076 Batch (t): 1.044, 1948.82/s, 974.408/s/gpu Logit Scale: 27.184 | Logit Bias: -14.914 | Lambda Scalar: 0.000 | Total_loss: -0.39857 (-0.39159) Joint_loss: 19.143 (17.967) Cross_loss: 2.0038 (2.0070) Image_lambda_loss: 0.23228 (0.20140) Text_lambda_loss: 0.32870 (0.24992) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:15:38 | INFO | Train Epoch: 1 [4302848/9191424 (47%)] Step: 6.6K | Data (t): 0.073 Batch (t): 1.037, 1978.80/s, 989.402/s/gpu Logit Scale: 27.456 | Logit Bias: -14.924 | Lambda Scalar: 0.000 | Total_loss: -0.37062 (-0.39063) Joint_loss: 18.494 (17.991) Cross_loss: 1.9999 (2.0067) Image_lambda_loss: 0.27003 (0.20452) Text_lambda_loss: 0.33612 (0.25384) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:17:22 | INFO | Train Epoch: 1 [4507648/9191424 (49%)] Step: 6.7K | Data (t): 0.074 Batch (t): 1.040, 1971.66/s, 985.829/s/gpu Logit Scale: 27.731 | Logit Bias: -14.934 | Lambda Scalar: 0.000 | Total_loss: -0.35531 (-0.38910) Joint_loss: 18.191 (18.000) Cross_loss: 2.0127 (2.0070) Image_lambda_loss: 0.29123 (0.20829) Text_lambda_loss: 0.32747 (0.25704) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:19:06 | INFO | Train Epoch: 1 [4712448/9191424 (51%)] Step: 6.8K | Data (t): 0.079 Batch (t): 1.043, 1976.60/s, 988.300/s/gpu Logit Scale: 28.008 | Logit Bias: -14.944 | Lambda Scalar: 0.000 | Total_loss: -0.39921 (-0.38952) Joint_loss: 19.504 (18.063) Cross_loss: 2.0186 (2.0075) Image_lambda_loss: 0.31736 (0.21284) Text_lambda_loss: 0.28759 (0.25832) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:20:50 | INFO | Train Epoch: 1 [4917248/9191424 (53%)] Step: 6.9K | Data (t): 0.076 Batch (t): 1.042, 1972.53/s, 986.263/s/gpu Logit Scale: 28.288 | Logit Bias: -14.953 | Lambda Scalar: 0.000 | Total_loss: -0.38343 (-0.38927) Joint_loss: 19.158 (18.106) Cross_loss: 1.9995 (2.0071) Image_lambda_loss: 0.24379 (0.21407) Text_lambda_loss: 0.35119 (0.26203) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:22:34 | INFO | Train Epoch: 1 [5122048/9191424 (56%)] Step: 7.0K | Data (t): 0.073 Batch (t): 1.043, 1988.73/s, 994.365/s/gpu Logit Scale: 28.571 | Logit Bias: -14.963 | Lambda Scalar: 0.000 | Total_loss: -0.35647 (-0.38801) Joint_loss: 18.527 (18.123) Cross_loss: 2.0173 (2.0075) Image_lambda_loss: 0.29951 (0.21736) Text_lambda_loss: 0.36972 (0.26617) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:24:18 | INFO | Train Epoch: 1 [5326848/9191424 (58%)] Step: 7.1K | Data (t): 0.072 Batch (t): 1.041, 1966.79/s, 983.394/s/gpu Logit Scale: 28.857 | Logit Bias: -14.973 | Lambda Scalar: 0.000 | Total_loss: -0.37978 (-0.38771) Joint_loss: 19.267 (18.165) Cross_loss: 1.9940 (2.0070) Image_lambda_loss: 0.32767 (0.22145) Text_lambda_loss: 0.41968 (0.27186) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:26:03 | INFO | Train Epoch: 1 [5531648/9191424 (60%)] Step: 7.2K | Data (t): 0.069 Batch (t): 1.041, 1947.38/s, 973.691/s/gpu Logit Scale: 29.146 | Logit Bias: -14.983 | Lambda Scalar: 0.000 | Total_loss: -0.39970 (-0.38814) Joint_loss: 19.956 (18.229) Cross_loss: 2.0029 (2.0069) Image_lambda_loss: 0.27677 (0.22342) Text_lambda_loss: 0.32219 (0.27366) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:27:46 | INFO | Train Epoch: 1 [5736448/9191424 (62%)] Step: 7.3K | Data (t): 0.071 Batch (t): 1.036, 1964.77/s, 982.386/s/gpu Logit Scale: 29.438 | Logit Bias: -14.993 | Lambda Scalar: 0.000 | Total_loss: -0.37488 (-0.38768) Joint_loss: 19.351 (18.268) Cross_loss: 1.9996 (2.0066) Image_lambda_loss: 0.30194 (0.22613) Text_lambda_loss: 0.39474 (0.27783) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:29:30 | INFO | Train Epoch: 1 [5941248/9191424 (65%)] Step: 7.4K | Data (t): 0.072 Batch (t): 1.039, 1999.01/s, 999.507/s/gpu Logit Scale: 29.732 | Logit Bias: -15.003 | Lambda Scalar: 0.000 | Total_loss: -0.35282 (-0.38652) Joint_loss: 18.830 (18.286) Cross_loss: 2.0138 (2.0069) Image_lambda_loss: 0.26270 (0.22735) Text_lambda_loss: 0.35106 (0.28027) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:31:14 | INFO | Train Epoch: 1 [6146048/9191424 (67%)] Step: 7.5K | Data (t): 0.072 Batch (t): 1.039, 1994.08/s, 997.042/s/gpu Logit Scale: 30.030 | Logit Bias: -15.013 | Lambda Scalar: 0.000 | Total_loss: -0.39499 (-0.38679) Joint_loss: 20.175 (18.347) Cross_loss: 2.0076 (2.0069) Image_lambda_loss: 0.29510 (0.22953) Text_lambda_loss: 0.33280 (0.28197) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:32:58 | INFO | Train Epoch: 1 [6350848/9191424 (69%)] Step: 7.6K | Data (t): 0.072 Batch (t): 1.042, 1940.87/s, 970.434/s/gpu Logit Scale: 30.330 | Logit Bias: -15.023 | Lambda Scalar: 0.000 | Total_loss: -0.37378 (-0.38638) Joint_loss: 19.660 (18.388) Cross_loss: 2.0066 (2.0069) Image_lambda_loss: 0.32137 (0.23240) Text_lambda_loss: 0.38936 (0.28532) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:34:42 | INFO | Train Epoch: 1 [6555648/9191424 (71%)] Step: 7.7K | Data (t): 0.073 Batch (t): 1.043, 1957.13/s, 978.566/s/gpu Logit Scale: 30.634 | Logit Bias: -15.033 | Lambda Scalar: 0.000 | Total_loss: -0.35516 (-0.38544) Joint_loss: 19.218 (18.413) Cross_loss: 2.0126 (2.0071) Image_lambda_loss: 0.32907 (0.23533) Text_lambda_loss: 0.37657 (0.28809) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:36:27 | INFO | Train Epoch: 1 [6760448/9191424 (74%)] Step: 7.8K | Data (t): 0.076 Batch (t): 1.043, 1987.85/s, 993.923/s/gpu Logit Scale: 30.940 | Logit Bias: -15.043 | Lambda Scalar: 0.000 | Total_loss: -0.33422 (-0.38393) Joint_loss: 18.672 (18.421) Cross_loss: 1.9959 (2.0067) Image_lambda_loss: 0.30330 (0.23733) Text_lambda_loss: 0.35240 (0.28998) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:38:11 | INFO | Train Epoch: 1 [6965248/9191424 (76%)] Step: 7.9K | Data (t): 0.074 Batch (t): 1.041, 1975.78/s, 987.888/s/gpu Logit Scale: 31.250 | Logit Bias: -15.053 | Lambda Scalar: 0.000 | Total_loss: -0.39515 (-0.38425) Joint_loss: 20.653 (18.485) Cross_loss: 1.9991 (2.0065) Image_lambda_loss: 0.33136 (0.24002) Text_lambda_loss: 0.38719 (0.29276) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:39:55 | INFO | Train Epoch: 1 [7170048/9191424 (78%)] Step: 8.0K | Data (t): 0.074 Batch (t): 1.041, 1968.92/s, 984.458/s/gpu Logit Scale: 31.563 | Logit Bias: -15.063 | Lambda Scalar: 0.000 | Total_loss: -0.37170 (-0.38390) Joint_loss: 20.055 (18.528) Cross_loss: 2.0060 (2.0065) Image_lambda_loss: 0.32526 (0.24239) Text_lambda_loss: 0.38026 (0.29519) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:41:39 | INFO | Train Epoch: 1 [7374848/9191424 (80%)] Step: 8.1K | Data (t): 0.072 Batch (t): 1.041, 1997.88/s, 998.939/s/gpu Logit Scale: 31.878 | Logit Bias: -15.073 | Lambda Scalar: 0.000 | Total_loss: -0.33826 (-0.38267) Joint_loss: 19.113 (18.544) Cross_loss: 1.9960 (2.0062) Image_lambda_loss: 0.29217 (0.24373) Text_lambda_loss: 0.37629 (0.29738) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:43:23 | INFO | Train Epoch: 1 [7579648/9191424 (82%)] Step: 8.2K | Data (t): 0.072 Batch (t): 1.038, 1984.22/s, 992.110/s/gpu Logit Scale: 32.197 | Logit Bias: -15.083 | Lambda Scalar: 0.000 | Total_loss: -0.36359 (-0.38217) Joint_loss: 20.007 (18.583) Cross_loss: 1.9794 (2.0055) Image_lambda_loss: 0.39093 (0.24761) Text_lambda_loss: 0.40812 (0.30029) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:45:07 | INFO | Train Epoch: 1 [7784448/9191424 (85%)] Step: 8.3K | Data (t): 0.072 Batch (t): 1.041, 1981.03/s, 990.515/s/gpu Logit Scale: 32.520 | Logit Bias: -15.093 | Lambda Scalar: 0.000 | Total_loss: -0.39412 (-0.38247) Joint_loss: 21.146 (18.648) Cross_loss: 2.0235 (2.0060) Image_lambda_loss: 0.33899 (0.24995) Text_lambda_loss: 0.40542 (0.30299) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:46:51 | INFO | Train Epoch: 1 [7989248/9191424 (87%)] Step: 8.4K | Data (t): 0.071 Batch (t): 1.038, 1956.42/s, 978.209/s/gpu Logit Scale: 32.845 | Logit Bias: -15.103 | Lambda Scalar: 0.000 | Total_loss: -0.36332 (-0.38200) Joint_loss: 20.260 (18.689) Cross_loss: 2.0057 (2.0060) Image_lambda_loss: 0.40222 (0.25376) Text_lambda_loss: 0.44402 (0.30652) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:48:35 | INFO | Train Epoch: 1 [8194048/9191424 (89%)] Step: 8.5K | Data (t): 0.072 Batch (t): 1.042, 1981.98/s, 990.991/s/gpu Logit Scale: 33.174 | Logit Bias: -15.113 | Lambda Scalar: 0.000 | Total_loss: -0.35236 (-0.38127) Joint_loss: 20.033 (18.721) Cross_loss: 2.0174 (2.0062) Image_lambda_loss: 0.39308 (0.25715) Text_lambda_loss: 0.49671 (0.31115) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:50:19 | INFO | Train Epoch: 1 [8398848/9191424 (91%)] Step: 8.6K | Data (t): 0.073 Batch (t): 1.042, 1996.12/s, 998.060/s/gpu Logit Scale: 33.393 | Logit Bias: -15.119 | Lambda Scalar: 0.000 | Total_loss: -0.38806 (-0.38143) Joint_loss: 21.302 (18.783) Cross_loss: 2.0347 (2.0069) Image_lambda_loss: 0.42038 (0.26104) Text_lambda_loss: 0.51783 (0.31607) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:52:04 | INFO | Train Epoch: 1 [8603648/9191424 (94%)] Step: 8.7K | Data (t): 0.073 Batch (t): 1.046, 1980.34/s, 990.172/s/gpu Logit Scale: 33.504 | Logit Bias: -15.122 | Lambda Scalar: 0.000 | Total_loss: -0.39815 (-0.38182) Joint_loss: 21.644 (18.849) Cross_loss: 2.0001 (2.0068) Image_lambda_loss: 0.35525 (0.26323) Text_lambda_loss: 0.39805 (0.31798) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:53:48 | INFO | Train Epoch: 1 [8808448/9191424 (96%)] Step: 8.8K | Data (t): 0.074 Batch (t): 1.043, 1946.45/s, 973.224/s/gpu Logit Scale: 33.615 | Logit Bias: -15.126 | Lambda Scalar: 0.000 | Total_loss: -0.37153 (-0.38159) Joint_loss: 20.803 (18.894) Cross_loss: 1.9970 (2.0065) Image_lambda_loss: 0.41275 (0.26663) Text_lambda_loss: 0.50178 (0.32216) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:55:32 | INFO | Train Epoch: 1 [9013248/9191424 (98%)] Step: 8.9K | Data (t): 0.074 Batch (t): 1.044, 1983.86/s, 991.930/s/gpu Logit Scale: 33.728 | Logit Bias: -15.129 | Lambda Scalar: 0.000 | Total_loss: -0.36113 (-0.38113) Joint_loss: 20.482 (18.929) Cross_loss: 1.9793 (2.0059) Image_lambda_loss: 0.39832 (0.26956) Text_lambda_loss: 0.43353 (0.32463) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:57:03 | INFO | Train Epoch: 1 [9191424/9191424 (100%)] Step: 9.0K | Data (t): 0.073 Batch (t): 1.043, 1961.19/s, 980.594/s/gpu Logit Scale: 33.825 | Logit Bias: -15.132 | Lambda Scalar: 0.000 | Total_loss: -0.38598 (-0.38124) Joint_loss: 21.353 (18.982) Cross_loss: 1.9870 (2.0055) Image_lambda_loss: 0.35767 (0.27147) Text_lambda_loss: 0.45539 (0.32748) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | | |
| 2025-01-24,14:57:07 | INFO | Eval Epoch: 2 [1024 / 205824] Clip Loss: 2.573696 | |
| 2025-01-24,14:57:36 | INFO | Eval Epoch: 2 image_to_text_mean_rank: 108.7411 image_to_text_median_rank: 10.0000 image_to_text_R@1: 0.2087 image_to_text_R@5: 0.4121 image_to_text_R@10: 0.5046 text_to_image_mean_rank: 119.8979 text_to_image_median_rank: 10.0000 text_to_image_R@1: 0.2011 text_to_image_R@5: 0.4044 text_to_image_R@10: 0.5027 clip_val_loss: 2.4271 epoch: 2.0000 num_samples: 8678.0000 | |
| 2025-01-24,14:57:37 | INFO | Start epoch 2 | |
| 2025-01-24,14:57:42 | INFO | Train Epoch: 2 [ 2048/9191424 (0%)] Step: 9.0K | Data (t): 3.667 Batch (t): 4.653, 440.114/s, 220.057/s/gpu Logit Scale: 33.827 | Logit Bias: -15.132 | Lambda Scalar: 0.000 | Total_loss: -0.40148 (-0.40148) Joint_loss: 21.905 (21.905) Cross_loss: 2.0221 (2.0221) Image_lambda_loss: 0.37697 (0.37697) Text_lambda_loss: 0.50270 (0.50270) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,14:59:26 | INFO | Train Epoch: 2 [ 206848/9191424 (2%)] Step: 9.1K | Data (t): 0.069 Batch (t): 1.041, 1991.48/s, 995.738/s/gpu Logit Scale: 33.939 | Logit Bias: -15.135 | Lambda Scalar: 0.000 | Total_loss: -0.37314 (-0.38731) Joint_loss: 20.995 (21.450) Cross_loss: 2.0150 (2.0185) Image_lambda_loss: 0.44737 (0.41217) Text_lambda_loss: 0.57901 (0.54086) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:01:10 | INFO | Train Epoch: 2 [ 411648/9191424 (4%)] Step: 9.2K | Data (t): 0.070 Batch (t): 1.043, 1972.49/s, 986.247/s/gpu Logit Scale: 34.053 | Logit Bias: -15.139 | Lambda Scalar: 0.000 | Total_loss: -0.36271 (-0.37911) Joint_loss: 20.674 (21.191) Cross_loss: 2.0010 (2.0127) Image_lambda_loss: 0.49273 (0.43902) Text_lambda_loss: 0.54441 (0.54204) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:02:55 | INFO | Train Epoch: 2 [ 616448/9191424 (7%)] Step: 9.3K | Data (t): 0.070 Batch (t): 1.044, 1969.25/s, 984.625/s/gpu Logit Scale: 34.166 | Logit Bias: -15.142 | Lambda Scalar: 0.000 | Total_loss: -0.38326 (-0.38015) Joint_loss: 21.391 (21.241) Cross_loss: 1.9856 (2.0059) Image_lambda_loss: 0.42575 (0.43570) Text_lambda_loss: 0.45220 (0.51958) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:04:39 | INFO | Train Epoch: 2 [ 821248/9191424 (9%)] Step: 9.4K | Data (t): 0.071 Batch (t): 1.042, 1982.85/s, 991.423/s/gpu Logit Scale: 34.280 | Logit Bias: -15.145 | Lambda Scalar: 0.000 | Total_loss: -0.36096 (-0.37631) Joint_loss: 20.690 (21.131) Cross_loss: 1.9939 (2.0035) Image_lambda_loss: 0.39557 (0.42768) Text_lambda_loss: 0.49708 (0.51508) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:06:23 | INFO | Train Epoch: 2 [1026048/9191424 (11%)] Step: 9.5K | Data (t): 0.069 Batch (t): 1.039, 2003.08/s, 1001.54/s/gpu Logit Scale: 34.394 | Logit Bias: -15.149 | Lambda Scalar: 0.000 | Total_loss: -0.37233 (-0.37565) Joint_loss: 21.139 (21.132) Cross_loss: 2.0163 (2.0056) Image_lambda_loss: 0.44976 (0.43136) Text_lambda_loss: 0.54930 (0.52078) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:08:07 | INFO | Train Epoch: 2 [1230848/9191424 (13%)] Step: 9.6K | Data (t): 0.069 Batch (t): 1.040, 1892.10/s, 946.050/s/gpu Logit Scale: 34.509 | Logit Bias: -15.152 | Lambda Scalar: 0.000 | Total_loss: -0.34741 (-0.37161) Joint_loss: 20.295 (21.013) Cross_loss: 1.9772 (2.0016) Image_lambda_loss: 0.46052 (0.43553) Text_lambda_loss: 0.53975 (0.52349) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:09:51 | INFO | Train Epoch: 2 [1435648/9191424 (16%)] Step: 9.7K | Data (t): 0.070 Batch (t): 1.043, 1972.99/s, 986.493/s/gpu Logit Scale: 34.624 | Logit Bias: -15.155 | Lambda Scalar: 0.000 | Total_loss: -0.36246 (-0.37047) Joint_loss: 20.861 (20.994) Cross_loss: 1.9900 (2.0001) Image_lambda_loss: 0.40857 (0.43216) Text_lambda_loss: 0.50361 (0.52101) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:11:35 | INFO | Train Epoch: 2 [1640448/9191424 (18%)] Step: 9.8K | Data (t): 0.066 Batch (t): 1.042, 2015.39/s, 1007.69/s/gpu Logit Scale: 34.739 | Logit Bias: -15.159 | Lambda Scalar: 0.000 | Total_loss: -0.34873 (-0.36805) Joint_loss: 20.429 (20.931) Cross_loss: 1.9864 (1.9986) Image_lambda_loss: 0.39167 (0.42766) Text_lambda_loss: 0.49681 (0.51832) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:13:19 | INFO | Train Epoch: 2 [1845248/9191424 (20%)] Step: 9.9K | Data (t): 0.068 Batch (t): 1.040, 1972.07/s, 986.035/s/gpu Logit Scale: 34.855 | Logit Bias: -15.162 | Lambda Scalar: 0.000 | Total_loss: -0.37900 (-0.36915) Joint_loss: 21.527 (20.991) Cross_loss: 2.0033 (1.9991) Image_lambda_loss: 0.40787 (0.42568) Text_lambda_loss: 0.45775 (0.51226) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:15:04 | INFO | Train Epoch: 2 [2050048/9191424 (22%)] Step: 10.0K | Data (t): 0.071 Batch (t): 1.044, 1993.08/s, 996.538/s/gpu Logit Scale: 34.971 | Logit Bias: -15.165 | Lambda Scalar: 0.000 | Total_loss: -0.36537 (-0.36880) Joint_loss: 21.088 (20.999) Cross_loss: 1.9910 (1.9984) Image_lambda_loss: 0.46828 (0.42955) Text_lambda_loss: 0.51205 (0.51224) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:16:48 | INFO | Train Epoch: 2 [2254848/9191424 (25%)] Step: 10.1K | Data (t): 0.073 Batch (t): 1.047, 1954.94/s, 977.469/s/gpu Logit Scale: 35.087 | Logit Bias: -15.169 | Lambda Scalar: 0.000 | Total_loss: -0.35600 (-0.36774) Joint_loss: 20.813 (20.984) Cross_loss: 1.9975 (1.9983) Image_lambda_loss: 0.41688 (0.42849) Text_lambda_loss: 0.47675 (0.50929) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:18:33 | INFO | Train Epoch: 2 [2459648/9191424 (27%)] Step: 10.2K | Data (t): 0.075 Batch (t): 1.049, 1955.95/s, 977.974/s/gpu Logit Scale: 35.204 | Logit Bias: -15.172 | Lambda Scalar: 0.000 | Total_loss: -0.37765 (-0.36850) Joint_loss: 21.629 (21.034) Cross_loss: 2.0204 (2.0000) Image_lambda_loss: 0.44831 (0.43002) Text_lambda_loss: 0.45883 (0.50540) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:20:18 | INFO | Train Epoch: 2 [2664448/9191424 (29%)] Step: 10.3K | Data (t): 0.071 Batch (t): 1.043, 1952.00/s, 975.998/s/gpu Logit Scale: 35.321 | Logit Bias: -15.175 | Lambda Scalar: 0.000 | Total_loss: -0.37092 (-0.36867) Joint_loss: 21.424 (21.061) Cross_loss: 2.0057 (2.0004) Image_lambda_loss: 0.46487 (0.43251) Text_lambda_loss: 0.53378 (0.50743) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:22:02 | INFO | Train Epoch: 2 [2869248/9191424 (31%)] Step: 10.4K | Data (t): 0.069 Batch (t): 1.046, 1958.49/s, 979.244/s/gpu Logit Scale: 35.439 | Logit Bias: -15.179 | Lambda Scalar: 0.000 | Total_loss: -0.37423 (-0.36904) Joint_loss: 21.565 (21.095) Cross_loss: 1.9872 (1.9995) Image_lambda_loss: 0.43303 (0.43254) Text_lambda_loss: 0.54258 (0.50977) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:23:47 | INFO | Train Epoch: 2 [3074048/9191424 (33%)] Step: 10.5K | Data (t): 0.068 Batch (t): 1.049, 1941.32/s, 970.662/s/gpu Logit Scale: 35.557 | Logit Bias: -15.182 | Lambda Scalar: 0.000 | Total_loss: -0.35125 (-0.36793) Joint_loss: 20.795 (21.076) Cross_loss: 1.9792 (1.9982) Image_lambda_loss: 0.48484 (0.43581) Text_lambda_loss: 0.54556 (0.51201) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:25:32 | INFO | Train Epoch: 2 [3278848/9191424 (36%)] Step: 10.6K | Data (t): 0.069 Batch (t): 1.048, 1932.74/s, 966.370/s/gpu Logit Scale: 35.676 | Logit Bias: -15.185 | Lambda Scalar: 0.000 | Total_loss: -0.38624 (-0.36901) Joint_loss: 22.101 (21.137) Cross_loss: 2.0119 (1.9990) Image_lambda_loss: 0.42439 (0.43514) Text_lambda_loss: 0.51244 (0.51204) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:27:16 | INFO | Train Epoch: 2 [3483648/9191424 (38%)] Step: 10.7K | Data (t): 0.070 Batch (t): 1.045, 1994.07/s, 997.037/s/gpu Logit Scale: 35.795 | Logit Bias: -15.189 | Lambda Scalar: 0.000 | Total_loss: -0.38031 (-0.36964) Joint_loss: 21.926 (21.180) Cross_loss: 2.0006 (1.9991) Image_lambda_loss: 0.43750 (0.43527) Text_lambda_loss: 0.52909 (0.51298) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:29:01 | INFO | Train Epoch: 2 [3688448/9191424 (40%)] Step: 10.8K | Data (t): 0.071 Batch (t): 1.046, 2014.48/s, 1007.24/s/gpu Logit Scale: 35.914 | Logit Bias: -15.192 | Lambda Scalar: 0.000 | Total_loss: -0.38569 (-0.37048) Joint_loss: 22.162 (21.232) Cross_loss: 2.0008 (1.9992) Image_lambda_loss: 0.43710 (0.43537) Text_lambda_loss: 0.55115 (0.51499) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:30:47 | INFO | Train Epoch: 2 [3893248/9191424 (42%)] Step: 10.9K | Data (t): 0.071 Batch (t): 1.054, 1924.22/s, 962.108/s/gpu Logit Scale: 36.034 | Logit Bias: -15.195 | Lambda Scalar: 0.000 | Total_loss: -0.37818 (-0.37087) Joint_loss: 21.924 (21.267) Cross_loss: 1.9829 (1.9984) Image_lambda_loss: 0.43997 (0.43560) Text_lambda_loss: 0.59399 (0.51894) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:32:32 | INFO | Train Epoch: 2 [4098048/9191424 (45%)] Step: 11.0K | Data (t): 0.070 Batch (t): 1.051, 1900.05/s, 950.025/s/gpu Logit Scale: 36.154 | Logit Bias: -15.199 | Lambda Scalar: 0.000 | Total_loss: -0.35396 (-0.37006) Joint_loss: 21.131 (21.260) Cross_loss: 2.0089 (1.9989) Image_lambda_loss: 0.47128 (0.43730) Text_lambda_loss: 0.55091 (0.52046) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:34:17 | INFO | Train Epoch: 2 [4302848/9191424 (47%)] Step: 11.1K | Data (t): 0.071 Batch (t): 1.054, 1987.00/s, 993.499/s/gpu Logit Scale: 36.275 | Logit Bias: -15.202 | Lambda Scalar: 0.000 | Total_loss: -0.36724 (-0.36993) Joint_loss: 21.653 (21.278) Cross_loss: 2.0123 (1.9995) Image_lambda_loss: 0.51349 (0.44076) Text_lambda_loss: 0.59250 (0.52374) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:36:02 | INFO | Train Epoch: 2 [4507648/9191424 (49%)] Step: 11.2K | Data (t): 0.072 Batch (t): 1.049, 1925.36/s, 962.678/s/gpu Logit Scale: 36.396 | Logit Bias: -15.206 | Lambda Scalar: 0.000 | Total_loss: -0.36682 (-0.36980) Joint_loss: 21.680 (21.296) Cross_loss: 2.0104 (2.0000) Image_lambda_loss: 0.52431 (0.44439) Text_lambda_loss: 0.66863 (0.53004) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:37:47 | INFO | Train Epoch: 2 [4712448/9191424 (51%)] Step: 11.3K | Data (t): 0.072 Batch (t): 1.052, 1947.96/s, 973.978/s/gpu Logit Scale: 36.517 | Logit Bias: -15.209 | Lambda Scalar: 0.000 | Total_loss: -0.40869 (-0.37142) Joint_loss: 23.254 (21.377) Cross_loss: 2.0310 (2.0013) Image_lambda_loss: 0.51870 (0.44749) Text_lambda_loss: 0.58708 (0.53242) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:39:32 | INFO | Train Epoch: 2 [4917248/9191424 (53%)] Step: 11.4K | Data (t): 0.075 Batch (t): 1.051, 1956.53/s, 978.263/s/gpu Logit Scale: 36.639 | Logit Bias: -15.212 | Lambda Scalar: 0.000 | Total_loss: -0.38305 (-0.37188) Joint_loss: 22.333 (21.415) Cross_loss: 1.9880 (2.0007) Image_lambda_loss: 0.45242 (0.44769) Text_lambda_loss: 0.61517 (0.53573) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:41:18 | INFO | Train Epoch: 2 [5122048/9191424 (56%)] Step: 11.5K | Data (t): 0.076 Batch (t): 1.056, 1966.85/s, 983.427/s/gpu Logit Scale: 36.761 | Logit Bias: -15.216 | Lambda Scalar: 0.000 | Total_loss: -0.39624 (-0.37282) Joint_loss: 22.845 (21.470) Cross_loss: 1.9739 (1.9997) Image_lambda_loss: 0.48225 (0.44902) Text_lambda_loss: 0.63803 (0.53966) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:43:03 | INFO | Train Epoch: 2 [5326848/9191424 (58%)] Step: 11.6K | Data (t): 0.075 Batch (t): 1.048, 1982.77/s, 991.387/s/gpu Logit Scale: 36.883 | Logit Bias: -15.219 | Lambda Scalar: 0.000 | Total_loss: -0.39014 (-0.37346) Joint_loss: 22.682 (21.515) Cross_loss: 1.9842 (1.9991) Image_lambda_loss: 0.49407 (0.45068) Text_lambda_loss: 0.59042 (0.54154) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:44:47 | INFO | Train Epoch: 2 [5531648/9191424 (60%)] Step: 11.7K | Data (t): 0.073 Batch (t): 1.048, 1979.78/s, 989.889/s/gpu Logit Scale: 37.006 | Logit Bias: -15.222 | Lambda Scalar: 0.000 | Total_loss: -0.37313 (-0.37345) Joint_loss: 22.129 (21.537) Cross_loss: 2.0053 (1.9994) Image_lambda_loss: 0.54473 (0.45404) Text_lambda_loss: 0.59002 (0.54327) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:46:32 | INFO | Train Epoch: 2 [5736448/9191424 (62%)] Step: 11.8K | Data (t): 0.073 Batch (t): 1.044, 1946.91/s, 973.453/s/gpu Logit Scale: 37.130 | Logit Bias: -15.226 | Lambda Scalar: 0.000 | Total_loss: -0.38616 (-0.37389) Joint_loss: 22.636 (21.575) Cross_loss: 1.9881 (1.9990) Image_lambda_loss: 0.51368 (0.45610) Text_lambda_loss: 0.56358 (0.54397) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:48:16 | INFO | Train Epoch: 2 [5941248/9191424 (65%)] Step: 11.9K | Data (t): 0.073 Batch (t): 1.046, 1995.78/s, 997.890/s/gpu Logit Scale: 37.254 | Logit Bias: -15.229 | Lambda Scalar: 0.000 | Total_loss: -0.38266 (-0.37418) Joint_loss: 22.545 (21.607) Cross_loss: 1.9787 (1.9983) Image_lambda_loss: 0.53188 (0.45863) Text_lambda_loss: 0.67175 (0.54823) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:50:01 | INFO | Train Epoch: 2 [6146048/9191424 (67%)] Step: 12.0K | Data (t): 0.071 Batch (t): 1.045, 1963.73/s, 981.867/s/gpu Logit Scale: 37.378 | Logit Bias: -15.232 | Lambda Scalar: 0.000 | Total_loss: -0.38542 (-0.37454) Joint_loss: 22.723 (21.643) Cross_loss: 2.0065 (1.9986) Image_lambda_loss: 0.50901 (0.46025) Text_lambda_loss: 0.59186 (0.54964) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:51:46 | INFO | Train Epoch: 2 [6350848/9191424 (69%)] Step: 12.1K | Data (t): 0.073 Batch (t): 1.047, 1996.09/s, 998.046/s/gpu Logit Scale: 37.501 | Logit Bias: -15.236 | Lambda Scalar: 0.000 | Total_loss: -0.36941 (-0.37438) Joint_loss: 22.153 (21.659) Cross_loss: 1.9822 (1.9981) Image_lambda_loss: 0.45796 (0.46018) Text_lambda_loss: 0.50438 (0.54822) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:53:30 | INFO | Train Epoch: 2 [6555648/9191424 (71%)] Step: 12.2K | Data (t): 0.073 Batch (t): 1.047, 1988.91/s, 994.454/s/gpu Logit Scale: 37.626 | Logit Bias: -15.239 | Lambda Scalar: 0.000 | Total_loss: -0.39922 (-0.37514) Joint_loss: 23.341 (21.710) Cross_loss: 2.0167 (1.9986) Image_lambda_loss: 0.55978 (0.46320) Text_lambda_loss: 0.55271 (0.54836) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:55:15 | INFO | Train Epoch: 2 [6760448/9191424 (74%)] Step: 12.3K | Data (t): 0.073 Batch (t): 1.044, 1975.15/s, 987.577/s/gpu Logit Scale: 37.752 | Logit Bias: -15.242 | Lambda Scalar: 0.000 | Total_loss: -0.39153 (-0.37562) Joint_loss: 23.084 (21.751) Cross_loss: 1.9969 (1.9986) Image_lambda_loss: 0.44567 (0.46268) Text_lambda_loss: 0.58293 (0.54938) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:56:59 | INFO | Train Epoch: 2 [6965248/9191424 (76%)] Step: 12.4K | Data (t): 0.073 Batch (t): 1.044, 2016.01/s, 1008.00/s/gpu Logit Scale: 37.877 | Logit Bias: -15.246 | Lambda Scalar: 0.000 | Total_loss: -0.37913 (-0.37572) Joint_loss: 22.658 (21.777) Cross_loss: 1.9851 (1.9982) Image_lambda_loss: 0.49586 (0.46363) Text_lambda_loss: 0.62291 (0.55148) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,15:58:44 | INFO | Train Epoch: 2 [7170048/9191424 (78%)] Step: 12.5K | Data (t): 0.073 Batch (t): 1.047, 1907.84/s, 953.921/s/gpu Logit Scale: 38.004 | Logit Bias: -15.249 | Lambda Scalar: 0.000 | Total_loss: -0.38806 (-0.37606) Joint_loss: 23.054 (21.812) Cross_loss: 1.9981 (1.9982) Image_lambda_loss: 0.53356 (0.46557) Text_lambda_loss: 0.66940 (0.55475) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,16:00:29 | INFO | Train Epoch: 2 [7374848/9191424 (80%)] Step: 12.6K | Data (t): 0.076 Batch (t): 1.048, 1920.95/s, 960.475/s/gpu Logit Scale: 38.130 | Logit Bias: -15.252 | Lambda Scalar: 0.000 | Total_loss: -0.38124 (-0.37620) Joint_loss: 22.846 (21.840) Cross_loss: 1.9974 (1.9982) Image_lambda_loss: 0.56222 (0.46818) Text_lambda_loss: 0.62869 (0.55675) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,16:02:14 | INFO | Train Epoch: 2 [7579648/9191424 (82%)] Step: 12.7K | Data (t): 0.076 Batch (t): 1.050, 2001.51/s, 1000.75/s/gpu Logit Scale: 38.258 | Logit Bias: -15.256 | Lambda Scalar: 0.000 | Total_loss: -0.41045 (-0.37710) Joint_loss: 23.988 (21.897) Cross_loss: 1.9874 (1.9979) Image_lambda_loss: 0.64256 (0.47277) Text_lambda_loss: 0.75273 (0.56191) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,16:03:58 | INFO | Train Epoch: 2 [7784448/9191424 (85%)] Step: 12.8K | Data (t): 0.074 Batch (t): 1.043, 1965.60/s, 982.799/s/gpu Logit Scale: 38.385 | Logit Bias: -15.259 | Lambda Scalar: 0.000 | Total_loss: -0.39590 (-0.37758) Joint_loss: 23.480 (21.937) Cross_loss: 1.9789 (1.9974) Image_lambda_loss: 0.60751 (0.47623) Text_lambda_loss: 0.70805 (0.56566) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,16:05:42 | INFO | Train Epoch: 2 [7989248/9191424 (87%)] Step: 12.9K | Data (t): 0.074 Batch (t): 1.044, 1948.64/s, 974.320/s/gpu Logit Scale: 38.513 | Logit Bias: -15.262 | Lambda Scalar: 0.000 | Total_loss: -0.42778 (-0.37884) Joint_loss: 24.772 (22.008) Cross_loss: 2.0076 (1.9976) Image_lambda_loss: 0.61253 (0.47964) Text_lambda_loss: 0.65518 (0.56790) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,16:07:27 | INFO | Train Epoch: 2 [8194048/9191424 (89%)] Step: 13.0K | Data (t): 0.074 Batch (t): 1.044, 2007.10/s, 1003.55/s/gpu Logit Scale: 38.641 | Logit Bias: -15.266 | Lambda Scalar: 0.000 | Total_loss: -0.41407 (-0.37970) Joint_loss: 24.320 (22.064) Cross_loss: 2.0241 (1.9983) Image_lambda_loss: 0.60033 (0.48258) Text_lambda_loss: 0.62791 (0.56936) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,16:09:11 | INFO | Train Epoch: 2 [8398848/9191424 (91%)] Step: 13.1K | Data (t): 0.074 Batch (t): 1.045, 1975.44/s, 987.721/s/gpu Logit Scale: 38.770 | Logit Bias: -15.269 | Lambda Scalar: 0.000 | Total_loss: -0.40249 (-0.38024) Joint_loss: 23.911 (22.108) Cross_loss: 2.0052 (1.9985) Image_lambda_loss: 0.74064 (0.48872) Text_lambda_loss: 0.79900 (0.57483) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,16:10:55 | INFO | Train Epoch: 2 [8603648/9191424 (94%)] Step: 13.2K | Data (t): 0.074 Batch (t): 1.042, 1867.57/s, 933.783/s/gpu Logit Scale: 38.900 | Logit Bias: -15.272 | Lambda Scalar: 0.000 | Total_loss: -0.39828 (-0.38066) Joint_loss: 23.794 (22.148) Cross_loss: 1.9980 (1.9984) Image_lambda_loss: 0.57206 (0.49066) Text_lambda_loss: 0.83440 (0.58086) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,16:12:40 | INFO | Train Epoch: 2 [8808448/9191424 (96%)] Step: 13.3K | Data (t): 0.073 Batch (t): 1.042, 1995.70/s, 997.848/s/gpu Logit Scale: 39.029 | Logit Bias: -15.276 | Lambda Scalar: 0.000 | Total_loss: -0.39012 (-0.38088) Joint_loss: 23.516 (22.179) Cross_loss: 1.9827 (1.9981) Image_lambda_loss: 0.60062 (0.49316) Text_lambda_loss: 0.74285 (0.58454) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,16:14:24 | INFO | Train Epoch: 2 [9013248/9191424 (98%)] Step: 13.4K | Data (t): 0.070 Batch (t): 1.041, 2009.63/s, 1004.81/s/gpu Logit Scale: 39.159 | Logit Bias: -15.279 | Lambda Scalar: 0.000 | Total_loss: -0.40774 (-0.38147) Joint_loss: 24.263 (22.225) Cross_loss: 1.9973 (1.9981) Image_lambda_loss: 0.62852 (0.49617) Text_lambda_loss: 0.69115 (0.58691) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,16:15:54 | INFO | Train Epoch: 2 [9191424/9191424 (100%)] Step: 13.5K | Data (t): 0.070 Batch (t): 1.036, 1981.55/s, 990.774/s/gpu Logit Scale: 39.273 | Logit Bias: -15.282 | Lambda Scalar: 0.000 | Total_loss: -0.40491 (-0.38198) Joint_loss: 24.223 (22.268) Cross_loss: 2.0208 (1.9986) Image_lambda_loss: 0.56074 (0.49757) Text_lambda_loss: 0.74731 (0.59040) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | | |
| 2025-01-24,16:15:57 | INFO | Eval Epoch: 3 [1024 / 205824] Clip Loss: 2.003252 | |
| 2025-01-24,16:16:26 | INFO | Eval Epoch: 3 image_to_text_mean_rank: 63.5785 image_to_text_median_rank: 5.0000 image_to_text_R@1: 0.2965 image_to_text_R@5: 0.5283 image_to_text_R@10: 0.6224 text_to_image_mean_rank: 76.2304 text_to_image_median_rank: 5.0000 text_to_image_R@1: 0.2826 text_to_image_R@5: 0.5145 text_to_image_R@10: 0.6141 clip_val_loss: 1.8814 epoch: 3.0000 num_samples: 8678.0000 | |
| 2025-01-24,16:16:27 | INFO | Start epoch 3 | |
| 2025-01-24,16:16:32 | INFO | Train Epoch: 3 [ 2048/9191424 (0%)] Step: 13.5K | Data (t): 3.712 Batch (t): 4.658, 439.698/s, 219.849/s/gpu Logit Scale: 39.274 | Logit Bias: -15.282 | Lambda Scalar: 0.000 | Total_loss: -0.40643 (-0.40643) Joint_loss: 24.250 (24.250) Cross_loss: 1.9884 (1.9884) Image_lambda_loss: 0.72765 (0.72765) Text_lambda_loss: 0.81384 (0.81384) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:18:16 | INFO | Train Epoch: 3 [ 206848/9191424 (2%)] Step: 13.6K | Data (t): 0.074 Batch (t): 1.044, 2014.18/s, 1007.09/s/gpu Logit Scale: 39.405 | Logit Bias: -15.285 | Lambda Scalar: 0.000 | Total_loss: -0.42398 (-0.41520) Joint_loss: 25.031 (24.640) Cross_loss: 2.0329 (2.0107) Image_lambda_loss: 0.67085 (0.69925) Text_lambda_loss: 0.81814 (0.81599) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:20:01 | INFO | Train Epoch: 3 [ 411648/9191424 (4%)] Step: 13.7K | Data (t): 0.074 Batch (t): 1.046, 1939.38/s, 969.691/s/gpu Logit Scale: 39.536 | Logit Bias: -15.289 | Lambda Scalar: 0.000 | Total_loss: -0.41172 (-0.41404) Joint_loss: 24.539 (24.606) Cross_loss: 1.9642 (1.9952) Image_lambda_loss: 0.62955 (0.67601) Text_lambda_loss: 0.78180 (0.80459) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:21:45 | INFO | Train Epoch: 3 [ 616448/9191424 (7%)] Step: 13.8K | Data (t): 0.075 Batch (t): 1.044, 1981.19/s, 990.594/s/gpu Logit Scale: 39.668 | Logit Bias: -15.292 | Lambda Scalar: 0.000 | Total_loss: -0.43068 (-0.41820) Joint_loss: 25.343 (24.791) Cross_loss: 1.9710 (1.9891) Image_lambda_loss: 0.62497 (0.66325) Text_lambda_loss: 0.83080 (0.81115) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:23:30 | INFO | Train Epoch: 3 [ 821248/9191424 (9%)] Step: 13.9K | Data (t): 0.074 Batch (t): 1.044, 1985.18/s, 992.588/s/gpu Logit Scale: 39.800 | Logit Bias: -15.295 | Lambda Scalar: 0.000 | Total_loss: -0.42983 (-0.42053) Joint_loss: 25.400 (24.912) Cross_loss: 2.0047 (1.9922) Image_lambda_loss: 0.69629 (0.66986) Text_lambda_loss: 0.86457 (0.82183) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:25:15 | INFO | Train Epoch: 3 [1026048/9191424 (11%)] Step: 14.0K | Data (t): 0.075 Batch (t): 1.050, 1981.93/s, 990.963/s/gpu Logit Scale: 39.933 | Logit Bias: -15.299 | Lambda Scalar: 0.000 | Total_loss: -0.41054 (-0.41886) Joint_loss: 24.660 (24.870) Cross_loss: 1.9682 (1.9882) Image_lambda_loss: 0.66125 (0.66843) Text_lambda_loss: 0.83486 (0.82400) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:27:00 | INFO | Train Epoch: 3 [1230848/9191424 (13%)] Step: 14.1K | Data (t): 0.076 Batch (t): 1.048, 1916.57/s, 958.284/s/gpu Logit Scale: 40.065 | Logit Bias: -15.302 | Lambda Scalar: 0.000 | Total_loss: -0.41016 (-0.41762) Joint_loss: 24.740 (24.852) Cross_loss: 2.0096 (1.9913) Image_lambda_loss: 0.66777 (0.66833) Text_lambda_loss: 0.92750 (0.83879) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:28:44 | INFO | Train Epoch: 3 [1435648/9191424 (16%)] Step: 14.2K | Data (t): 0.076 Batch (t): 1.048, 1933.12/s, 966.559/s/gpu Logit Scale: 40.198 | Logit Bias: -15.305 | Lambda Scalar: 0.000 | Total_loss: -0.41831 (-0.41771) Joint_loss: 25.095 (24.882) Cross_loss: 1.9865 (1.9907) Image_lambda_loss: 0.85019 (0.69106) Text_lambda_loss: 0.88475 (0.84453) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:30:29 | INFO | Train Epoch: 3 [1640448/9191424 (18%)] Step: 14.3K | Data (t): 0.076 Batch (t): 1.044, 1987.62/s, 993.808/s/gpu Logit Scale: 40.332 | Logit Bias: -15.309 | Lambda Scalar: 0.000 | Total_loss: -0.39654 (-0.41536) Joint_loss: 24.286 (24.816) Cross_loss: 1.9883 (1.9904) Image_lambda_loss: 0.64255 (0.68567) Text_lambda_loss: 0.71655 (0.83031) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:32:13 | INFO | Train Epoch: 3 [1845248/9191424 (20%)] Step: 14.4K | Data (t): 0.074 Batch (t): 1.044, 1970.40/s, 985.198/s/gpu Logit Scale: 40.467 | Logit Bias: -15.312 | Lambda Scalar: 0.000 | Total_loss: -0.41986 (-0.41581) Joint_loss: 25.264 (24.861) Cross_loss: 1.9813 (1.9895) Image_lambda_loss: 0.76717 (0.69382) Text_lambda_loss: 0.97035 (0.84432) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:33:57 | INFO | Train Epoch: 3 [2050048/9191424 (22%)] Step: 14.5K | Data (t): 0.072 Batch (t): 1.035, 2012.02/s, 1006.01/s/gpu Logit Scale: 40.602 | Logit Bias: -15.315 | Lambda Scalar: 0.000 | Total_loss: -0.41605 (-0.41583) Joint_loss: 25.185 (24.890) Cross_loss: 1.9984 (1.9903) Image_lambda_loss: 0.71407 (0.69566) Text_lambda_loss: 0.84674 (0.84454) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:35:41 | INFO | Train Epoch: 3 [2254848/9191424 (25%)] Step: 14.6K | Data (t): 0.071 Batch (t): 1.041, 2033.11/s, 1016.56/s/gpu Logit Scale: 40.737 | Logit Bias: -15.319 | Lambda Scalar: 0.000 | Total_loss: -0.41002 (-0.41534) Joint_loss: 24.994 (24.899) Cross_loss: 1.9930 (1.9905) Image_lambda_loss: 0.74128 (0.69946) Text_lambda_loss: 0.86123 (0.84593) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:37:25 | INFO | Train Epoch: 3 [2459648/9191424 (27%)] Step: 14.7K | Data (t): 0.072 Batch (t): 1.045, 1893.78/s, 946.891/s/gpu Logit Scale: 40.873 | Logit Bias: -15.322 | Lambda Scalar: 0.000 | Total_loss: -0.39547 (-0.41382) Joint_loss: 24.457 (24.865) Cross_loss: 1.9889 (1.9904) Image_lambda_loss: 0.73369 (0.70210) Text_lambda_loss: 0.79235 (0.84180) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:39:10 | INFO | Train Epoch: 3 [2664448/9191424 (29%)] Step: 14.8K | Data (t): 0.074 Batch (t): 1.043, 2012.83/s, 1006.42/s/gpu Logit Scale: 41.009 | Logit Bias: -15.325 | Lambda Scalar: 0.000 | Total_loss: -0.41934 (-0.41421) Joint_loss: 25.491 (24.910) Cross_loss: 2.0007 (1.9912) Image_lambda_loss: 0.82647 (0.71098) Text_lambda_loss: 0.94931 (0.84948) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:40:54 | INFO | Train Epoch: 3 [2869248/9191424 (31%)] Step: 14.9K | Data (t): 0.074 Batch (t): 1.042, 2016.67/s, 1008.34/s/gpu Logit Scale: 41.146 | Logit Bias: -15.329 | Lambda Scalar: 0.000 | Total_loss: -0.40422 (-0.41354) Joint_loss: 24.955 (24.913) Cross_loss: 2.0226 (1.9932) Image_lambda_loss: 0.73230 (0.71240) Text_lambda_loss: 0.84327 (0.84907) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:42:38 | INFO | Train Epoch: 3 [3074048/9191424 (33%)] Step: 15.0K | Data (t): 0.074 Batch (t): 1.038, 1990.50/s, 995.249/s/gpu Logit Scale: 41.283 | Logit Bias: -15.332 | Lambda Scalar: 0.000 | Total_loss: -0.40212 (-0.41283) Joint_loss: 24.910 (24.912) Cross_loss: 2.0078 (1.9942) Image_lambda_loss: 0.75260 (0.71491) Text_lambda_loss: 0.83088 (0.84793) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:44:22 | INFO | Train Epoch: 3 [3278848/9191424 (36%)] Step: 15.1K | Data (t): 0.072 Batch (t): 1.039, 2009.80/s, 1004.90/s/gpu Logit Scale: 41.421 | Logit Bias: -15.335 | Lambda Scalar: 0.000 | Total_loss: -0.40012 (-0.41208) Joint_loss: 24.860 (24.909) Cross_loss: 1.9844 (1.9936) Image_lambda_loss: 0.66085 (0.71173) Text_lambda_loss: 0.79385 (0.84475) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:46:05 | INFO | Train Epoch: 3 [3483648/9191424 (38%)] Step: 15.2K | Data (t): 0.072 Batch (t): 1.035, 1931.14/s, 965.571/s/gpu Logit Scale: 41.559 | Logit Bias: -15.339 | Lambda Scalar: 0.000 | Total_loss: -0.38568 (-0.41062) Joint_loss: 24.329 (24.877) Cross_loss: 1.9912 (1.9934) Image_lambda_loss: 0.74821 (0.71376) Text_lambda_loss: 0.84560 (0.84480) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:47:50 | INFO | Train Epoch: 3 [3688448/9191424 (40%)] Step: 15.3K | Data (t): 0.074 Batch (t): 1.049, 1926.94/s, 963.470/s/gpu Logit Scale: 41.698 | Logit Bias: -15.342 | Lambda Scalar: 0.000 | Total_loss: -0.41594 (-0.41090) Joint_loss: 25.647 (24.918) Cross_loss: 2.0089 (1.9943) Image_lambda_loss: 0.79039 (0.71779) Text_lambda_loss: 0.96557 (0.85116) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |
| 2025-01-24,16:49:35 | INFO | Train Epoch: 3 [3893248/9191424 (42%)] Step: 15.4K | Data (t): 0.073 Batch (t): 1.048, 2008.27/s, 1004.14/s/gpu Logit Scale: 41.836 | Logit Bias: -15.345 | Lambda Scalar: 0.000 | Total_loss: -0.39099 (-0.40990) Joint_loss: 24.664 (24.905) Cross_loss: 1.9998 (1.9945) Image_lambda_loss: 0.74930 (0.71937) Text_lambda_loss: 0.79494 (0.84834) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | | |