ens_fix-bias-14.27sample-negFalse-scaleTrue-pos0.003-eps1e-06-stocFalselr0.0004-ViT-B-32-1990_0124032041/out.log

2025-01-24,03:20:45 | INFO | Running in distributed mode with multiple processes. Device: cuda:0.Process (global: 0, local 0), total 2.
2025-01-24,03:20:45 | INFO | Initializing logit scale based on loss type.
2025-01-24,03:20:45 | INFO | Loaded ViT-B-32 model config.
2025-01-24,03:20:47 | INFO | Model:
2025-01-24,03:20:47 | 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)
)
2025-01-24,03:20:47 | INFO | Params:
2025-01-24,03:20:47 | INFO |   accum_freq: 1
2025-01-24,03:20:47 | INFO |   added_positive_type: sample
2025-01-24,03:20:47 | INFO |   aug_cfg: {}
2025-01-24,03:20:47 | INFO |   batch_size: 1990
2025-01-24,03:20:47 | INFO |   beta1: 0.9
2025-01-24,03:20:47 | INFO |   beta2: 0.98
2025-01-24,03:20:47 | INFO |   beta_decay_epochs: 16
2025-01-24,03:20:47 | INFO |   cache_dir: None
2025-01-24,03:20:47 | INFO |   calculate_full: True
2025-01-24,03:20:47 | INFO |   checkpoint_path: ./logs/ens_fix-bias-14.27sample-negFalse-scaleTrue-pos0.003-eps1e-06-stocFalselr0.0004-ViT-B-32-1990_0124032041/checkpoints
2025-01-24,03:20:47 | INFO |   coca_caption_loss_weight: 2.0
2025-01-24,03:20:47 | INFO |   coca_contrastive_loss_weight: 1.0
2025-01-24,03:20:47 | INFO |   contrast_neg_only: False
2025-01-24,03:20:47 | INFO |   copy_codebase: False
2025-01-24,03:20:47 | INFO |   csv_caption_key: title
2025-01-24,03:20:47 | INFO |   csv_img_key: filepath
2025-01-24,03:20:47 | INFO |   csv_separator: 	
2025-01-24,03:20:47 | INFO |   dataset_resampled: False
2025-01-24,03:20:47 | INFO |   dataset_type: webdataset
2025-01-24,03:20:47 | INFO |   ddp_static_graph: False
2025-01-24,03:20:47 | INFO |   debug: False
2025-01-24,03:20:47 | INFO |   delete_previous_checkpoint: False
2025-01-24,03:20:47 | INFO |   denormalize_features: False
2025-01-24,03:20:47 | INFO |   device: cuda:0
2025-01-24,03:20:47 | INFO |   dist_backend: None
2025-01-24,03:20:47 | INFO |   dist_url: None
2025-01-24,03:20:47 | INFO |   distill: False
2025-01-24,03:20:47 | INFO |   distill_model: None
2025-01-24,03:20:47 | INFO |   distill_pretrained: None
2025-01-24,03:20:47 | INFO |   distributed: True
2025-01-24,03:20:47 | INFO |   ema_z_mode: ema_n_sample
2025-01-24,03:20:47 | INFO |   epochs: 33
2025-01-24,03:20:47 | INFO |   epochs_cooldown: None
2025-01-24,03:20:47 | INFO |   eps: 1e-06
2025-01-24,03:20:47 | INFO |   fit_neg_only: True
2025-01-24,03:20:47 | INFO |   fit_w_prev: False
2025-01-24,03:20:47 | INFO |   force_custom_text: False
2025-01-24,03:20:47 | INFO |   force_image_size: None
2025-01-24,03:20:47 | INFO |   force_patch_dropout: None
2025-01-24,03:20:47 | INFO |   force_quick_gelu: False
2025-01-24,03:20:47 | INFO |   freeze_lambda_after_num_epochs: 100
2025-01-24,03:20:47 | INFO |   gather_with_grad: True
2025-01-24,03:20:47 | INFO |   grad_checkpointing: False
2025-01-24,03:20:47 | INFO |   grad_clip_norm: 1.0
2025-01-24,03:20:47 | INFO |   h_dim_factor: 4
2025-01-24,03:20:47 | INFO |   horovod: False
2025-01-24,03:20:47 | INFO |   image_interpolation: None
2025-01-24,03:20:47 | INFO |   image_mean: None
2025-01-24,03:20:47 | INFO |   image_resize_mode: None
2025-01-24,03:20:47 | INFO |   image_std: None
2025-01-24,03:20:47 | INFO |   imagenet_v2: None
2025-01-24,03:20:47 | INFO |   imagenet_val: /scratch/imagenet/val/
2025-01-24,03:20:47 | INFO |   init_lambda: 1.0
2025-01-24,03:20:47 | INFO |   init_logit_bias: -14.27
2025-01-24,03:20:47 | INFO |   init_logit_scale: None
2025-01-24,03:20:47 | INFO |   lambda_eps: 1e-12
2025-01-24,03:20:47 | INFO |   lambda_lr: 0.001
2025-01-24,03:20:47 | INFO |   lambda_tolerance: 0.0005
2025-01-24,03:20:47 | INFO |   lambda_update_frequency: [10]
2025-01-24,03:20:47 | INFO |   learn_logit_bias: True
2025-01-24,03:20:47 | INFO |   learn_logit_scale: True
2025-01-24,03:20:47 | INFO |   local_loss: True
2025-01-24,03:20:47 | INFO |   local_rank: 0
2025-01-24,03:20:47 | INFO |   lock_image: False
2025-01-24,03:20:47 | INFO |   lock_image_freeze_bn_stats: False
2025-01-24,03:20:47 | INFO |   lock_image_unlocked_groups: 0
2025-01-24,03:20:47 | INFO |   lock_text: False
2025-01-24,03:20:47 | INFO |   lock_text_freeze_layer_norm: False
2025-01-24,03:20:47 | INFO |   lock_text_unlocked_layers: 0
2025-01-24,03:20:47 | INFO |   log_every_n_steps: 100
2025-01-24,03:20:47 | INFO |   log_level: 20
2025-01-24,03:20:47 | INFO |   log_local: False
2025-01-24,03:20:47 | INFO |   log_path: ./logs/ens_fix-bias-14.27sample-negFalse-scaleTrue-pos0.003-eps1e-06-stocFalselr0.0004-ViT-B-32-1990_0124032041/out.log
2025-01-24,03:20:47 | INFO |   logit_scale_clamp: 100
2025-01-24,03:20:47 | INFO |   logs: ./logs/
2025-01-24,03:20:47 | INFO |   loss_type: COND_EXP
2025-01-24,03:20:47 | INFO |   lr: 0.0004
2025-01-24,03:20:47 | INFO |   lr_cooldown_end: 0.0
2025-01-24,03:20:47 | INFO |   lr_cooldown_power: 1.0
2025-01-24,03:20:47 | INFO |   lr_scheduler: cosine
2025-01-24,03:20:47 | INFO |   lr_tau: 0.0001
2025-01-24,03:20:47 | INFO |   model: ViT-B-32
2025-01-24,03:20:47 | INFO |   model_beta_init: 0.0
2025-01-24,03:20:47 | INFO |   model_ema_beta: 0.9992
2025-01-24,03:20:47 | INFO |   model_update_type: ONE_STEP
2025-01-24,03:20:47 | INFO |   n_class_tokens: -1
2025-01-24,03:20:47 | INFO |   name: ens_fix-bias-14.27sample-negFalse-scaleTrue-pos0.003-eps1e-06-stocFalselr0.0004-ViT-B-32-1990_0124032041
2025-01-24,03:20:47 | INFO |   no_set_device_rank: False
2025-01-24,03:20:47 | INFO |   norm_cap: 1.0
2025-01-24,03:20:47 | INFO |   normalize_type: L2
2025-01-24,03:20:47 | INFO |   note: ens_fix
2025-01-24,03:20:47 | INFO |   pos_coef: 0.003
2025-01-24,03:20:47 | INFO |   precision: amp
2025-01-24,03:20:47 | INFO |   pretrained: 
2025-01-24,03:20:47 | INFO |   pretrained_image: False
2025-01-24,03:20:47 | INFO |   rank: 0
2025-01-24,03:20:47 | INFO |   remote_sync: None
2025-01-24,03:20:47 | INFO |   remote_sync_frequency: 300
2025-01-24,03:20:47 | INFO |   remote_sync_protocol: s3
2025-01-24,03:20:47 | INFO |   report_to: wandb
2025-01-24,03:20:47 | INFO |   resume: None
2025-01-24,03:20:47 | INFO |   save_frequency: 1
2025-01-24,03:20:47 | INFO |   save_most_recent: False
2025-01-24,03:20:47 | INFO |   scale_loss: True
2025-01-24,03:20:47 | INFO |   seed: 42
2025-01-24,03:20:47 | INFO |   siglip: False
2025-01-24,03:20:47 | INFO |   skip_scheduler: False
2025-01-24,03:20:47 | INFO |   stoc_fit_lambda: False
2025-01-24,03:20:47 | INFO |   tensorboard: False
2025-01-24,03:20:47 | INFO |   tensorboard_path: 
2025-01-24,03:20:47 | INFO |   torchcompile: False
2025-01-24,03:20:47 | INFO |   torchscript: False
2025-01-24,03:20:47 | INFO |   trace: False
2025-01-24,03:20:47 | INFO |   train_data: /scratch/cc12m/{00000..01240}.tar
2025-01-24,03:20:47 | INFO |   train_data_upsampling_factors: None
2025-01-24,03:20:47 | INFO |   train_num_samples: 9187328
2025-01-24,03:20:47 | INFO |   update_ema_mlps_every_n_steps: 1
2025-01-24,03:20:47 | INFO |   use_bn_sync: False
2025-01-24,03:20:47 | INFO |   use_bnb_linear: None
2025-01-24,03:20:47 | INFO |   use_feature_diff: False
2025-01-24,03:20:47 | INFO |   val_data: /scratch/cc12m/{01241..01242}.tar
2025-01-24,03:20:47 | INFO |   val_frequency: 1
2025-01-24,03:20:47 | INFO |   val_num_samples: 205824
2025-01-24,03:20:47 | INFO |   wandb: True
2025-01-24,03:20:47 | INFO |   wandb_notes: 
2025-01-24,03:20:47 | INFO |   wandb_project_name: open-clip
2025-01-24,03:20:47 | INFO |   warmup: 10000
2025-01-24,03:20:47 | INFO |   wd: 0.1
2025-01-24,03:20:47 | INFO |   workers: 6
2025-01-24,03:20:47 | INFO |   world_size: 2
2025-01-24,03:20:47 | INFO |   z_beta_max: 0.8
2025-01-24,03:20:47 | INFO |   zeroshot_frequency: 1
2025-01-24,03:20:47 | INFO | lr: 0.0004, lr_tau: 0.0001
2025-01-24,03:20:47 | INFO | lr: 0.0004, lr_tau: 0.0001
2025-01-24,03:20:51 | INFO | Start epoch 0
2025-01-24,03:21:08 | INFO | Train Epoch: 0 [   3980/9193800 (0%)] Step: 0.0K | Data (t): 8.890 Batch (t): 16.940, 234.944/s, 117.472/s/gpu Logit Scale: 14.286 | Logit Bias: -14.270  | Lambda Scalar: 0.000 | Total_loss: 0.67733 (0.67733) Joint_loss: -0.85448 (-0.85448) Cross_loss: 1.9945 (1.9945) Image_lambda_loss: 0.021331 (0.021331) Text_lambda_loss: 0.14288 (0.14288) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:23:51 | INFO | Train Epoch: 0 [ 401980/9193800 (4%)] Step: 0.1K | Data (t): 0.262 Batch (t): 1.627, 2920.28/s, 1460.14/s/gpu Logit Scale: 14.430 | Logit Bias: -14.280  | Lambda Scalar: 0.000 | Total_loss: 0.49025 (0.58379) Joint_loss: 1.6635 (0.40449) Cross_loss: 2.0008 (1.9976) Image_lambda_loss: 0.0085128 (0.014922) Text_lambda_loss: 0.0040834 (0.073482) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:26:14 | INFO | Train Epoch: 0 [ 799980/9193800 (9%)] Step: 0.2K | Data (t): 0.351 Batch (t): 1.429, 2606.40/s, 1303.20/s/gpu Logit Scale: 14.574 | Logit Bias: -14.290  | Lambda Scalar: 0.000 | Total_loss: 0.36788 (0.51182) Joint_loss: 3.3177 (1.3756) Cross_loss: 2.0012 (1.9988) Image_lambda_loss: 0.013684 (0.014509) Text_lambda_loss: 0.015183 (0.054049) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:28:37 | INFO | Train Epoch: 0 [1197980/9193800 (13%)] Step: 0.3K | Data (t): 0.362 Batch (t): 1.431, 2738.20/s, 1369.10/s/gpu Logit Scale: 14.710 | Logit Bias: -14.299  | Lambda Scalar: 0.000 | Total_loss: 0.29523 (0.45767) Joint_loss: 4.3070 (2.1084) Cross_loss: 2.0070 (2.0009) Image_lambda_loss: 0.018066 (0.015398) Text_lambda_loss: 0.030309 (0.048114) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:31:01 | INFO | Train Epoch: 0 [1595980/9193800 (17%)] Step: 0.4K | Data (t): 0.365 Batch (t): 1.442, 2696.73/s, 1348.36/s/gpu Logit Scale: 14.842 | Logit Bias: -14.308  | Lambda Scalar: 0.000 | Total_loss: 0.27302 (0.42074) Joint_loss: 4.5908 (2.6049) Cross_loss: 2.0109 (2.0029) Image_lambda_loss: 0.024373 (0.017193) Text_lambda_loss: 0.044143 (0.047320) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:33:24 | INFO | Train Epoch: 0 [1993980/9193800 (22%)] Step: 0.5K | Data (t): 0.362 Batch (t): 1.431, 2545.36/s, 1272.68/s/gpu Logit Scale: 14.977 | Logit Bias: -14.317  | Lambda Scalar: 0.000 | Total_loss: 0.17304 (0.37946) Joint_loss: 5.9904 (3.1691) Cross_loss: 1.9983 (2.0021) Image_lambda_loss: 0.032050 (0.019669) Text_lambda_loss: 0.075668 (0.052045) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:35:49 | INFO | Train Epoch: 0 [2391980/9193800 (26%)] Step: 0.6K | Data (t): 0.371 Batch (t): 1.448, 2728.66/s, 1364.33/s/gpu Logit Scale: 15.120 | Logit Bias: -14.327  | Lambda Scalar: 0.000 | Total_loss: 0.086861 (0.33766) Joint_loss: 7.2311 (3.7494) Cross_loss: 2.0025 (2.0022) Image_lambda_loss: 0.037903 (0.022274) Text_lambda_loss: 0.056506 (0.052682) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:38:13 | INFO | Train Epoch: 0 [2789980/9193800 (30%)] Step: 0.7K | Data (t): 0.372 Batch (t): 1.440, 2686.36/s, 1343.18/s/gpu Logit Scale: 15.267 | Logit Bias: -14.337  | Lambda Scalar: 0.000 | Total_loss: 0.078213 (0.30523) Joint_loss: 7.3534 (4.1999) Cross_loss: 2.0096 (2.0031) Image_lambda_loss: 0.039457 (0.024422) Text_lambda_loss: 0.065138 (0.054239) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:40:36 | INFO | Train Epoch: 0 [3187980/9193800 (35%)] Step: 0.8K | Data (t): 0.376 Batch (t): 1.435, 2838.53/s, 1419.27/s/gpu Logit Scale: 15.418 | Logit Bias: -14.347  | Lambda Scalar: 0.000 | Total_loss: 0.084324 (0.28068) Joint_loss: 7.2540 (4.5393) Cross_loss: 2.0133 (2.0042) Image_lambda_loss: 0.032319 (0.025299) Text_lambda_loss: 0.048803 (0.053635) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:43:01 | INFO | Train Epoch: 0 [3585980/9193800 (39%)] Step: 0.9K | Data (t): 0.368 Batch (t): 1.444, 2956.36/s, 1478.18/s/gpu Logit Scale: 15.572 | Logit Bias: -14.356  | Lambda Scalar: 0.000 | Total_loss: 0.024509 (0.25507) Joint_loss: 8.1343 (4.8988) Cross_loss: 2.0041 (2.0042) Image_lambda_loss: 0.045752 (0.027345) Text_lambda_loss: 0.081957 (0.056467) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:45:24 | INFO | Train Epoch: 0 [3983980/9193800 (43%)] Step: 1.0K | Data (t): 0.361 Batch (t): 1.435, 2746.68/s, 1373.34/s/gpu Logit Scale: 15.728 | Logit Bias: -14.366  | Lambda Scalar: 0.000 | Total_loss: 0.019267 (0.23363) Joint_loss: 8.2084 (5.1997) Cross_loss: 2.0021 (2.0040) Image_lambda_loss: 0.041887 (0.028667) Text_lambda_loss: 0.11662 (0.061936) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:47:48 | INFO | Train Epoch: 0 [4381980/9193800 (48%)] Step: 1.1K | Data (t): 0.364 Batch (t): 1.436, 2949.34/s, 1474.67/s/gpu Logit Scale: 15.886 | Logit Bias: -14.376  | Lambda Scalar: 0.000 | Total_loss: 0.039263 (0.21743) Joint_loss: 7.9077 (5.4253) Cross_loss: 2.0124 (2.0047) Image_lambda_loss: 0.035721 (0.029255) Text_lambda_loss: 0.072560 (0.062821) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:50:12 | INFO | Train Epoch: 0 [4779980/9193800 (52%)] Step: 1.2K | Data (t): 0.375 Batch (t): 1.446, 2914.81/s, 1457.41/s/gpu Logit Scale: 16.043 | Logit Bias: -14.386  | Lambda Scalar: 0.000 | Total_loss: 0.10655 (0.20890) Joint_loss: 6.8556 (5.5353) Cross_loss: 2.0134 (2.0054) Image_lambda_loss: 0.059221 (0.031560) Text_lambda_loss: 0.15349 (0.069796) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:52:36 | INFO | Train Epoch: 0 [5177980/9193800 (56%)] Step: 1.3K | Data (t): 0.367 Batch (t): 1.440, 2885.28/s, 1442.64/s/gpu Logit Scale: 16.202 | Logit Bias: -14.396  | Lambda Scalar: 0.000 | Total_loss: 0.044589 (0.19717) Joint_loss: 7.8141 (5.6981) Cross_loss: 2.0149 (2.0061) Image_lambda_loss: 0.045226 (0.032536) Text_lambda_loss: 0.095104 (0.071603) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:55:01 | INFO | Train Epoch: 0 [5575980/9193800 (61%)] Step: 1.4K | Data (t): 0.370 Batch (t): 1.442, 2746.57/s, 1373.29/s/gpu Logit Scale: 16.363 | Logit Bias: -14.406  | Lambda Scalar: 0.000 | Total_loss: 0.074848 (0.18901) Joint_loss: 7.3216 (5.8063) Cross_loss: 2.0101 (2.0063) Image_lambda_loss: 0.048365 (0.033591) Text_lambda_loss: 0.10711 (0.073970) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:57:26 | INFO | Train Epoch: 0 [5973980/9193800 (65%)] Step: 1.5K | Data (t): 0.373 Batch (t): 1.452, 2836.61/s, 1418.30/s/gpu Logit Scale: 16.527 | Logit Bias: -14.416  | Lambda Scalar: 0.000 | Total_loss: 0.11615 (0.18446) Joint_loss: 6.6619 (5.8598) Cross_loss: 2.0252 (2.0075) Image_lambda_loss: 0.036879 (0.033797) Text_lambda_loss: 0.071040 (0.073787) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,03:59:51 | INFO | Train Epoch: 0 [6371980/9193800 (69%)] Step: 1.6K | Data (t): 0.378 Batch (t): 1.449, 2722.85/s, 1361.42/s/gpu Logit Scale: 16.692 | Logit Bias: -14.426  | Lambda Scalar: 0.000 | Total_loss: 0.21648 (0.18634) Joint_loss: 5.0208 (5.8105) Cross_loss: 2.0291 (2.0088) Image_lambda_loss: 0.049631 (0.034728) Text_lambda_loss: 0.10333 (0.075525) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,04:02:15 | INFO | Train Epoch: 0 [6769980/9193800 (74%)] Step: 1.7K | Data (t): 0.373 Batch (t): 1.449, 2984.04/s, 1492.02/s/gpu Logit Scale: 16.858 | Logit Bias: -14.436  | Lambda Scalar: 0.000 | Total_loss: 0.14643 (0.18412) Joint_loss: 6.1267 (5.8280) Cross_loss: 2.0242 (2.0096) Image_lambda_loss: 0.060752 (0.036174) Text_lambda_loss: 0.088876 (0.076267) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,04:04:40 | INFO | Train Epoch: 0 [7167980/9193800 (78%)] Step: 1.8K | Data (t): 0.376 Batch (t): 1.450, 2770.76/s, 1385.38/s/gpu Logit Scale: 17.027 | Logit Bias: -14.446  | Lambda Scalar: 0.000 | Total_loss: 0.21193 (0.18559) Joint_loss: 5.0087 (5.7849) Cross_loss: 2.0144 (2.0099) Image_lambda_loss: 0.049253 (0.036862) Text_lambda_loss: 0.082650 (0.076603) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,04:07:05 | INFO | Train Epoch: 0 [7565980/9193800 (82%)] Step: 1.9K | Data (t): 0.383 Batch (t): 1.450, 2727.46/s, 1363.73/s/gpu Logit Scale: 17.197 | Logit Bias: -14.456  | Lambda Scalar: 0.000 | Total_loss: 0.28560 (0.19059) Joint_loss: 3.7605 (5.6837) Cross_loss: 2.0331 (2.0110) Image_lambda_loss: 0.034349 (0.036737) Text_lambda_loss: 0.081684 (0.076857) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,04:09:31 | INFO | Train Epoch: 0 [7963980/9193800 (87%)] Step: 2.0K | Data (t): 0.373 Batch (t): 1.451, 2772.65/s, 1386.32/s/gpu Logit Scale: 17.369 | Logit Bias: -14.465  | Lambda Scalar: 0.000 | Total_loss: 0.32402 (0.19694) Joint_loss: 3.0551 (5.5585) Cross_loss: 2.0255 (2.0117) Image_lambda_loss: 0.044050 (0.037085) Text_lambda_loss: 0.11819 (0.078825) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,04:11:53 | INFO | Train Epoch: 0 [8361980/9193800 (91%)] Step: 2.1K | Data (t): 0.345 Batch (t): 1.425, 2735.31/s, 1367.66/s/gpu Logit Scale: 17.544 | Logit Bias: -14.476  | Lambda Scalar: 0.000 | Total_loss: 0.32413 (0.20272) Joint_loss: 2.9971 (5.4421) Cross_loss: 2.0261 (2.0124) Image_lambda_loss: 0.038055 (0.037129) Text_lambda_loss: 0.071964 (0.078513) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,04:14:14 | INFO | Train Epoch: 0 [8759980/9193800 (95%)] Step: 2.2K | Data (t): 0.342 Batch (t): 1.414, 2861.28/s, 1430.64/s/gpu Logit Scale: 17.720 | Logit Bias: -14.485  | Lambda Scalar: 0.000 | Total_loss: 0.38794 (0.21078) Joint_loss: 1.8523 (5.2860) Cross_loss: 2.0380 (2.0135) Image_lambda_loss: 0.043707 (0.037415) Text_lambda_loss: 0.084193 (0.078760) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,04:16:36 | INFO | Train Epoch: 0 [9157980/9193800 (100%)] Step: 2.3K | Data (t): 0.351 Batch (t): 1.412, 2747.58/s, 1373.79/s/gpu Logit Scale: 17.897 | Logit Bias: -14.495  | Lambda Scalar: 0.000 | Total_loss: 0.43386 (0.22007) Joint_loss: 0.98288 (5.1067) Cross_loss: 2.0367 (2.0145) Image_lambda_loss: 0.040072 (0.037526) Text_lambda_loss: 0.084518 (0.079000) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,04:16:48 | INFO | Train Epoch: 0 [9193800/9193800 (100%)] Step: 2.3K | Data (t): 0.303 Batch (t): 1.371, 2901.26/s, 1450.63/s/gpu Logit Scale: 17.914 | Logit Bias: -14.496  | Lambda Scalar: 0.000 | Total_loss: 0.42692 (0.22835) Joint_loss: 1.0893 (4.9460) Cross_loss: 2.0293 (2.0151) Image_lambda_loss: 0.041637 (0.037690) Text_lambda_loss: 0.074977 (0.078839) | L_updates: 9 | z_beta: 0.0, model_beta: 0.9992 | 
2025-01-24,04:16:48 | INFO | Starting zero-shot imagenet.
2025-01-24,04:16:48 | INFO | Building zero-shot classifier
2025-01-24,04:16:55 | INFO | Using classifier
2025-01-24,04:18:01 | INFO | Finished zero-shot imagenet.
2025-01-24,04:18:12 | INFO | Eval Epoch: 1 [1990 / 205824]	Clip Loss: 4.868768	
2025-01-24,04:18:45 | INFO | Eval Epoch: 1 imagenet-zeroshot-val-top1: 0.0268	imagenet-zeroshot-val-top5: 0.0845	image_to_text_mean_rank: 435.4213	image_to_text_median_rank: 92.0000	image_to_text_R@1: 0.0552	image_to_text_R@5: 0.1459	image_to_text_R@10: 0.2085	text_to_image_mean_rank: 454.5549	text_to_image_median_rank: 92.0000	text_to_image_R@1: 0.0506	text_to_image_R@5: 0.1419	text_to_image_R@10: 0.2006	clip_val_loss: 4.8051	epoch: 1.0000	num_samples: 8678.0000
2025-01-24,04:18:48 | INFO | Start epoch 1
2025-01-24,04:18:58 | INFO | Train Epoch: 1 [   3980/9193800 (0%)] Step: 2.3K | Data (t): 9.060 Batch (t): 10.071, 395.207/s, 197.603/s/gpu Logit Scale: 17.915 | Logit Bias: -14.496  | Lambda Scalar: 0.000 | Total_loss: 0.39046 (0.39046) Joint_loss: 1.4031 (1.4031) Cross_loss: 1.7084 (1.7084) Image_lambda_loss: 0.046080 (0.046080) Text_lambda_loss: 0.073646 (0.073646) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:21:22 | INFO | Train Epoch: 1 [ 401980/9193800 (4%)] Step: 2.4K | Data (t): 0.326 Batch (t): 1.442, 2959.61/s, 1479.81/s/gpu Logit Scale: 18.093 | Logit Bias: -14.506  | Lambda Scalar: 0.000 | Total_loss: 0.14596 (0.26821) Joint_loss: 5.9570 (3.6801) Cross_loss: 2.0268 (1.8676) Image_lambda_loss: 0.052804 (0.049442) Text_lambda_loss: 0.088359 (0.081002) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:23:41 | INFO | Train Epoch: 1 [ 799980/9193800 (9%)] Step: 2.5K | Data (t): 0.343 Batch (t): 1.389, 2703.92/s, 1351.96/s/gpu Logit Scale: 18.275 | Logit Bias: -14.516  | Lambda Scalar: 0.000 | Total_loss: 0.14005 (0.22549) Joint_loss: 6.0369 (4.4657) Cross_loss: 2.0281 (1.9211) Image_lambda_loss: 0.052569 (0.050484) Text_lambda_loss: 0.063823 (0.075276) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:26:05 | INFO | Train Epoch: 1 [1197980/9193800 (13%)] Step: 2.6K | Data (t): 0.363 Batch (t): 1.441, 2854.14/s, 1427.07/s/gpu Logit Scale: 18.457 | Logit Bias: -14.526  | Lambda Scalar: 0.000 | Total_loss: 0.16560 (0.21052) Joint_loss: 5.5378 (4.7337) Cross_loss: 2.0137 (1.9442) Image_lambda_loss: 0.048761 (0.050053) Text_lambda_loss: 0.073545 (0.074843) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:28:29 | INFO | Train Epoch: 1 [1595980/9193800 (17%)] Step: 2.7K | Data (t): 0.365 Batch (t): 1.444, 2720.30/s, 1360.15/s/gpu Logit Scale: 18.641 | Logit Bias: -14.536  | Lambda Scalar: 0.000 | Total_loss: 0.13140 (0.19469) Joint_loss: 6.1449 (5.0160) Cross_loss: 2.0305 (1.9615) Image_lambda_loss: 0.057689 (0.051580) Text_lambda_loss: 0.075482 (0.074971) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:30:53 | INFO | Train Epoch: 1 [1993980/9193800 (22%)] Step: 2.8K | Data (t): 0.361 Batch (t): 1.435, 3031.07/s, 1515.53/s/gpu Logit Scale: 18.829 | Logit Bias: -14.546  | Lambda Scalar: 0.000 | Total_loss: 0.17248 (0.19099) Joint_loss: 5.3599 (5.0733) Cross_loss: 2.0234 (1.9718) Image_lambda_loss: 0.048638 (0.051090) Text_lambda_loss: 0.071785 (0.074440) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:33:17 | INFO | Train Epoch: 1 [2391980/9193800 (26%)] Step: 2.9K | Data (t): 0.360 Batch (t): 1.439, 2804.18/s, 1402.09/s/gpu Logit Scale: 19.018 | Logit Bias: -14.556  | Lambda Scalar: 0.000 | Total_loss: 0.18684 (0.19040) Joint_loss: 5.0853 (5.0750) Cross_loss: 2.0476 (1.9826) Image_lambda_loss: 0.069903 (0.053777) Text_lambda_loss: 0.077623 (0.074895) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:35:40 | INFO | Train Epoch: 1 [2789980/9193800 (30%)] Step: 3.0K | Data (t): 0.361 Batch (t): 1.436, 2648.15/s, 1324.07/s/gpu Logit Scale: 19.209 | Logit Bias: -14.566  | Lambda Scalar: 0.000 | Total_loss: 0.20253 (0.19191) Joint_loss: 4.7332 (5.0323) Cross_loss: 2.0248 (1.9879) Image_lambda_loss: 0.051664 (0.053513) Text_lambda_loss: 0.069793 (0.074257) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:38:05 | INFO | Train Epoch: 1 [3187980/9193800 (35%)] Step: 3.1K | Data (t): 0.354 Batch (t): 1.442, 2919.34/s, 1459.67/s/gpu Logit Scale: 19.401 | Logit Bias: -14.576  | Lambda Scalar: 0.000 | Total_loss: 0.18585 (0.19124) Joint_loss: 5.0274 (5.0317) Cross_loss: 2.0425 (1.9940) Image_lambda_loss: 0.048594 (0.052967) Text_lambda_loss: 0.081812 (0.075096) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:40:28 | INFO | Train Epoch: 1 [3585980/9193800 (39%)] Step: 3.2K | Data (t): 0.343 Batch (t): 1.432, 2843.23/s, 1421.61/s/gpu Logit Scale: 19.596 | Logit Bias: -14.586  | Lambda Scalar: 0.000 | Total_loss: 0.21029 (0.19315) Joint_loss: 4.5111 (4.9797) Cross_loss: 2.0294 (1.9975) Image_lambda_loss: 0.054461 (0.053116) Text_lambda_loss: 0.093383 (0.076925) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:42:53 | INFO | Train Epoch: 1 [3983980/9193800 (43%)] Step: 3.3K | Data (t): 0.367 Batch (t): 1.454, 3103.23/s, 1551.61/s/gpu Logit Scale: 19.792 | Logit Bias: -14.596  | Lambda Scalar: 0.000 | Total_loss: 0.23161 (0.19664) Joint_loss: 4.0416 (4.8944) Cross_loss: 2.0128 (1.9989) Image_lambda_loss: 0.050444 (0.052873) Text_lambda_loss: 0.074336 (0.076690) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:45:19 | INFO | Train Epoch: 1 [4381980/9193800 (48%)] Step: 3.4K | Data (t): 0.355 Batch (t): 1.456, 2899.79/s, 1449.89/s/gpu Logit Scale: 19.991 | Logit Bias: -14.606  | Lambda Scalar: 0.000 | Total_loss: 0.21782 (0.19841) Joint_loss: 4.2736 (4.8427) Cross_loss: 2.0217 (2.0008) Image_lambda_loss: 0.063179 (0.053732) Text_lambda_loss: 0.086183 (0.077481) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:47:45 | INFO | Train Epoch: 1 [4779980/9193800 (52%)] Step: 3.5K | Data (t): 0.364 Batch (t): 1.458, 2739.97/s, 1369.99/s/gpu Logit Scale: 20.191 | Logit Bias: -14.616  | Lambda Scalar: 0.000 | Total_loss: 0.23739 (0.20141) Joint_loss: 3.8432 (4.7658) Cross_loss: 2.0206 (2.0023) Image_lambda_loss: 0.054366 (0.053781) Text_lambda_loss: 0.082736 (0.077885) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:50:09 | INFO | Train Epoch: 1 [5177980/9193800 (56%)] Step: 3.6K | Data (t): 0.366 Batch (t): 1.446, 2637.60/s, 1318.80/s/gpu Logit Scale: 20.394 | Logit Bias: -14.626  | Lambda Scalar: 0.000 | Total_loss: 0.24899 (0.20480) Joint_loss: 3.5852 (4.6815) Cross_loss: 2.0415 (2.0051) Image_lambda_loss: 0.065006 (0.054583) Text_lambda_loss: 0.084095 (0.078329) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:52:35 | INFO | Train Epoch: 1 [5575980/9193800 (61%)] Step: 3.7K | Data (t): 0.372 Batch (t): 1.454, 2604.78/s, 1302.39/s/gpu Logit Scale: 20.599 | Logit Bias: -14.636  | Lambda Scalar: 0.000 | Total_loss: 0.28324 (0.21003) Joint_loss: 2.8386 (4.5586) Cross_loss: 2.0346 (2.0071) Image_lambda_loss: 0.059778 (0.054929) Text_lambda_loss: 0.082280 (0.078592) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:54:59 | INFO | Train Epoch: 1 [5973980/9193800 (65%)] Step: 3.8K | Data (t): 0.363 Batch (t): 1.443, 2630.47/s, 1315.24/s/gpu Logit Scale: 20.805 | Logit Bias: -14.646  | Lambda Scalar: 0.000 | Total_loss: 0.27167 (0.21389) Joint_loss: 3.0245 (4.4627) Cross_loss: 2.0439 (2.0094) Image_lambda_loss: 0.063856 (0.055487) Text_lambda_loss: 0.095597 (0.079655) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:57:24 | INFO | Train Epoch: 1 [6371980/9193800 (69%)] Step: 3.9K | Data (t): 0.365 Batch (t): 1.450, 2792.64/s, 1396.32/s/gpu Logit Scale: 21.014 | Logit Bias: -14.656  | Lambda Scalar: 0.000 | Total_loss: 0.29764 (0.21881) Joint_loss: 2.4157 (4.3423) Cross_loss: 2.0248 (2.0103) Image_lambda_loss: 0.058975 (0.055692) Text_lambda_loss: 0.098715 (0.080776) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,04:59:49 | INFO | Train Epoch: 1 [6769980/9193800 (74%)] Step: 4.0K | Data (t): 0.363 Batch (t): 1.455, 2649.83/s, 1324.92/s/gpu Logit Scale: 21.225 | Logit Bias: -14.666  | Lambda Scalar: 0.000 | Total_loss: 0.30390 (0.22354) Joint_loss: 2.2352 (4.2252) Cross_loss: 2.0368 (2.0118) Image_lambda_loss: 0.063515 (0.056127) Text_lambda_loss: 0.075677 (0.080493) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,05:02:14 | INFO | Train Epoch: 1 [7167980/9193800 (78%)] Step: 4.1K | Data (t): 0.372 Batch (t): 1.450, 2954.38/s, 1477.19/s/gpu Logit Scale: 21.437 | Logit Bias: -14.676  | Lambda Scalar: 0.000 | Total_loss: 0.30518 (0.22784) Joint_loss: 2.1670 (4.1169) Cross_loss: 2.0602 (2.0143) Image_lambda_loss: 0.061303 (0.056399) Text_lambda_loss: 0.093892 (0.081198) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,05:04:39 | INFO | Train Epoch: 1 [7565980/9193800 (82%)] Step: 4.2K | Data (t): 0.367 Batch (t): 1.445, 2672.19/s, 1336.09/s/gpu Logit Scale: 21.653 | Logit Bias: -14.686  | Lambda Scalar: 0.000 | Total_loss: 0.32718 (0.23280) Joint_loss: 1.6100 (3.9916) Cross_loss: 2.0345 (2.0153) Image_lambda_loss: 0.065542 (0.056856) Text_lambda_loss: 0.088305 (0.081553) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,05:07:04 | INFO | Train Epoch: 1 [7963980/9193800 (87%)] Step: 4.3K | Data (t): 0.355 Batch (t): 1.448, 2741.62/s, 1370.81/s/gpu Logit Scale: 21.870 | Logit Bias: -14.696  | Lambda Scalar: 0.000 | Total_loss: 0.34546 (0.23817) Joint_loss: 1.1511 (3.8563) Cross_loss: 2.0374 (2.0164) Image_lambda_loss: 0.058278 (0.056924) Text_lambda_loss: 0.094400 (0.082165) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,05:09:16 | INFO | Train Epoch: 1 [8361980/9193800 (91%)] Step: 4.4K | Data (t): 0.243 Batch (t): 1.321, 2990.22/s, 1495.11/s/gpu Logit Scale: 22.090 | Logit Bias: -14.706  | Lambda Scalar: 0.000 | Total_loss: 0.36373 (0.24388) Joint_loss: 0.67227 (3.7116) Cross_loss: 2.0291 (2.0170) Image_lambda_loss: 0.066117 (0.057342) Text_lambda_loss: 0.087933 (0.082427) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,05:11:40 | INFO | Train Epoch: 1 [8759980/9193800 (95%)] Step: 4.5K | Data (t): 0.363 Batch (t): 1.443, 2824.01/s, 1412.01/s/gpu Logit Scale: 22.311 | Logit Bias: -14.716  | Lambda Scalar: 0.000 | Total_loss: 0.35425 (0.24867) Joint_loss: 0.82091 (3.5859) Cross_loss: 2.0514 (2.0185) Image_lambda_loss: 0.066292 (0.057731) Text_lambda_loss: 0.084199 (0.082504) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,05:14:06 | INFO | Train Epoch: 1 [9157980/9193800 (100%)] Step: 4.6K | Data (t): 0.374 Batch (t): 1.454, 2712.74/s, 1356.37/s/gpu Logit Scale: 22.535 | Logit Bias: -14.725  | Lambda Scalar: 0.000 | Total_loss: 0.38225 (0.25424) Joint_loss: 0.13482 (3.4421) Cross_loss: 2.0618 (2.0203) Image_lambda_loss: 0.068150 (0.058165) Text_lambda_loss: 0.089400 (0.082792) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,05:14:18 | INFO | Train Epoch: 1 [9193800/9193800 (100%)] Step: 4.6K | Data (t): 0.332 Batch (t): 1.377, 2883.17/s, 1441.58/s/gpu Logit Scale: 22.555 | Logit Bias: -14.726  | Lambda Scalar: 0.000 | Total_loss: 0.37529 (0.25908) Joint_loss: 0.28501 (3.3158) Cross_loss: 2.0662 (2.0221) Image_lambda_loss: 0.073349 (0.058772) Text_lambda_loss: 0.082918 (0.082797) | L_updates: 9 | z_beta: 0.007685887838707828, model_beta: 0.9992 | 
2025-01-24,05:14:18 | INFO | Starting zero-shot imagenet.
2025-01-24,05:14:18 | INFO | Building zero-shot classifier
2025-01-24,05:14:25 | INFO | Using classifier
2025-01-24,05:15:29 | INFO | Finished zero-shot imagenet.
2025-01-24,05:15:37 | INFO | Eval Epoch: 2 [1990 / 205824]	Clip Loss: 3.705355	
2025-01-24,05:16:12 | INFO | Eval Epoch: 2 imagenet-zeroshot-val-top1: 0.0608	imagenet-zeroshot-val-top5: 0.1673	image_to_text_mean_rank: 181.1727	image_to_text_median_rank: 21.0000	image_to_text_R@1: 0.1360	image_to_text_R@5: 0.3092	image_to_text_R@10: 0.3969	text_to_image_mean_rank: 193.5121	text_to_image_median_rank: 22.0000	text_to_image_R@1: 0.1329	text_to_image_R@5: 0.2970	text_to_image_R@10: 0.3929	clip_val_loss: 3.6097	epoch: 2.0000	num_samples: 8678.0000
2025-01-24,05:16:14 | INFO | Start epoch 2
2025-01-24,05:16:23 | INFO | Train Epoch: 2 [   3980/9193800 (0%)] Step: 4.6K | Data (t): 8.768 Batch (t): 9.781, 406.920/s, 203.460/s/gpu Logit Scale: 22.558 | Logit Bias: -14.726  | Lambda Scalar: 0.000 | Total_loss: 0.37797 (0.37797) Joint_loss: -0.078396 (-0.078396) Cross_loss: 1.7629 (1.7629) Image_lambda_loss: 0.065743 (0.065743) Text_lambda_loss: 0.096281 (0.096281) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:18:45 | INFO | Train Epoch: 2 [ 401980/9193800 (4%)] Step: 4.7K | Data (t): 0.302 Batch (t): 1.415, 3061.61/s, 1530.80/s/gpu Logit Scale: 22.781 | Logit Bias: -14.736  | Lambda Scalar: 0.000 | Total_loss: 0.27207 (0.32502) Joint_loss: 2.4743 (1.1979) Cross_loss: 2.0393 (1.9011) Image_lambda_loss: 0.080998 (0.073371) Text_lambda_loss: 0.10383 (0.10005) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:20:57 | INFO | Train Epoch: 2 [ 799980/9193800 (9%)] Step: 4.8K | Data (t): 0.301 Batch (t): 1.321, 2839.09/s, 1419.54/s/gpu Logit Scale: 23.009 | Logit Bias: -14.746  | Lambda Scalar: 0.000 | Total_loss: 0.28355 (0.31120) Joint_loss: 2.1674 (1.5211) Cross_loss: 2.0528 (1.9517) Image_lambda_loss: 0.079000 (0.075247) Text_lambda_loss: 0.11047 (0.10353) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:23:07 | INFO | Train Epoch: 2 [1197980/9193800 (13%)] Step: 4.9K | Data (t): 0.286 Batch (t): 1.296, 3215.48/s, 1607.74/s/gpu Logit Scale: 23.239 | Logit Bias: -14.756  | Lambda Scalar: 0.000 | Total_loss: 0.30551 (0.30978) Joint_loss: 1.5859 (1.5373) Cross_loss: 2.0362 (1.9728) Image_lambda_loss: 0.081779 (0.076880) Text_lambda_loss: 0.13249 (0.11077) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:25:15 | INFO | Train Epoch: 2 [1595980/9193800 (17%)] Step: 5.0K | Data (t): 0.244 Batch (t): 1.279, 2942.32/s, 1471.16/s/gpu Logit Scale: 23.472 | Logit Bias: -14.766  | Lambda Scalar: 0.000 | Total_loss: 0.30919 (0.30966) Joint_loss: 1.4341 (1.5167) Cross_loss: 2.0400 (1.9862) Image_lambda_loss: 0.077949 (0.077094) Text_lambda_loss: 0.10577 (0.10977) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:27:23 | INFO | Train Epoch: 2 [1993980/9193800 (22%)] Step: 5.1K | Data (t): 0.275 Batch (t): 1.286, 2998.12/s, 1499.06/s/gpu Logit Scale: 23.707 | Logit Bias: -14.776  | Lambda Scalar: 0.000 | Total_loss: 0.31464 (0.31049) Joint_loss: 1.2424 (1.4709) Cross_loss: 2.0475 (1.9964) Image_lambda_loss: 0.076877 (0.077058) Text_lambda_loss: 0.10345 (0.10871) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:29:32 | INFO | Train Epoch: 2 [2391980/9193800 (26%)] Step: 5.2K | Data (t): 0.282 Batch (t): 1.292, 3488.85/s, 1744.43/s/gpu Logit Scale: 23.944 | Logit Bias: -14.786  | Lambda Scalar: 0.000 | Total_loss: 0.32065 (0.31194) Joint_loss: 1.0091 (1.4050) Cross_loss: 2.0298 (2.0012) Image_lambda_loss: 0.085119 (0.078209) Text_lambda_loss: 0.10763 (0.10856) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:31:45 | INFO | Train Epoch: 2 [2789980/9193800 (30%)] Step: 5.3K | Data (t): 0.307 Batch (t): 1.323, 2982.68/s, 1491.34/s/gpu Logit Scale: 24.184 | Logit Bias: -14.796  | Lambda Scalar: 0.000 | Total_loss: 0.32676 (0.31379) Joint_loss: 0.80354 (1.3298) Cross_loss: 2.0458 (2.0068) Image_lambda_loss: 0.087279 (0.079343) Text_lambda_loss: 0.096147 (0.10701) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:33:57 | INFO | Train Epoch: 2 [3187980/9193800 (35%)] Step: 5.4K | Data (t): 0.304 Batch (t): 1.327, 3079.42/s, 1539.71/s/gpu Logit Scale: 24.426 | Logit Bias: -14.806  | Lambda Scalar: 0.000 | Total_loss: 0.33949 (0.31665) Joint_loss: 0.41630 (1.2283) Cross_loss: 2.0423 (2.0107) Image_lambda_loss: 0.086607 (0.080150) Text_lambda_loss: 0.11328 (0.10770) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:36:11 | INFO | Train Epoch: 2 [3585980/9193800 (39%)] Step: 5.5K | Data (t): 0.308 Batch (t): 1.338, 3037.91/s, 1518.95/s/gpu Logit Scale: 24.670 | Logit Bias: -14.816  | Lambda Scalar: 0.000 | Total_loss: 0.34142 (0.31913) Joint_loss: 0.31207 (1.1367) Cross_loss: 2.0676 (2.0164) Image_lambda_loss: 0.090698 (0.081205) Text_lambda_loss: 0.11028 (0.10796) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:38:23 | INFO | Train Epoch: 2 [3983980/9193800 (43%)] Step: 5.6K | Data (t): 0.298 Batch (t): 1.318, 2705.78/s, 1352.89/s/gpu Logit Scale: 24.918 | Logit Bias: -14.826  | Lambda Scalar: 0.000 | Total_loss: 0.34681 (0.32164) Joint_loss: 0.076692 (1.0403) Cross_loss: 2.0483 (2.0193) Image_lambda_loss: 0.092370 (0.082220) Text_lambda_loss: 0.10338 (0.10755) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:40:37 | INFO | Train Epoch: 2 [4381980/9193800 (48%)] Step: 5.7K | Data (t): 0.310 Batch (t): 1.345, 2818.65/s, 1409.32/s/gpu Logit Scale: 25.167 | Logit Bias: -14.836  | Lambda Scalar: 0.000 | Total_loss: 0.35470 (0.32440) Joint_loss: -0.17191 (0.93929) Cross_loss: 2.0810 (2.0245) Image_lambda_loss: 0.095183 (0.083300) Text_lambda_loss: 0.12529 (0.10902) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:42:51 | INFO | Train Epoch: 2 [4779980/9193800 (52%)] Step: 5.8K | Data (t): 0.304 Batch (t): 1.340, 2871.07/s, 1435.53/s/gpu Logit Scale: 25.419 | Logit Bias: -14.846  | Lambda Scalar: 0.000 | Total_loss: 0.37838 (0.32855) Joint_loss: -0.90821 (0.79717) Cross_loss: 2.0243 (2.0244) Image_lambda_loss: 0.083780 (0.083337) Text_lambda_loss: 0.11369 (0.10938) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:45:07 | INFO | Train Epoch: 2 [5177980/9193800 (56%)] Step: 5.9K | Data (t): 0.318 Batch (t): 1.352, 2817.98/s, 1408.99/s/gpu Logit Scale: 25.674 | Logit Bias: -14.856  | Lambda Scalar: 0.000 | Total_loss: 0.39210 (0.33309) Joint_loss: -1.3652 (0.64272) Cross_loss: 2.0092 (2.0233) Image_lambda_loss: 0.097963 (0.084382) Text_lambda_loss: 0.11277 (0.10963) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:47:21 | INFO | Train Epoch: 2 [5575980/9193800 (61%)] Step: 6.0K | Data (t): 0.326 Batch (t): 1.342, 3123.71/s, 1561.85/s/gpu Logit Scale: 25.931 | Logit Bias: -14.866  | Lambda Scalar: 0.000 | Total_loss: 0.38193 (0.33634) Joint_loss: -1.1489 (0.52328) Cross_loss: 2.0675 (2.0263) Image_lambda_loss: 0.096515 (0.085191) Text_lambda_loss: 0.11515 (0.10999) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:49:33 | INFO | Train Epoch: 2 [5973980/9193800 (65%)] Step: 6.1K | Data (t): 0.302 Batch (t): 1.321, 3527.00/s, 1763.50/s/gpu Logit Scale: 26.191 | Logit Bias: -14.875  | Lambda Scalar: 0.000 | Total_loss: 0.40808 (0.34083) Joint_loss: -1.9864 (0.36643) Cross_loss: 2.0012 (2.0247) Image_lambda_loss: 0.099949 (0.086113) Text_lambda_loss: 0.11130 (0.11007) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:51:44 | INFO | Train Epoch: 2 [6371980/9193800 (69%)] Step: 6.2K | Data (t): 0.297 Batch (t): 1.308, 2803.13/s, 1401.56/s/gpu Logit Scale: 26.453 | Logit Bias: -14.885  | Lambda Scalar: 0.000 | Total_loss: 0.42181 (0.34559) Joint_loss: -2.4276 (0.20207) Cross_loss: 2.0235 (2.0247) Image_lambda_loss: 0.11878 (0.088035) Text_lambda_loss: 0.14031 (0.11185) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:53:55 | INFO | Train Epoch: 2 [6769980/9193800 (74%)] Step: 6.3K | Data (t): 0.296 Batch (t): 1.313, 3286.27/s, 1643.14/s/gpu Logit Scale: 26.718 | Logit Bias: -14.895  | Lambda Scalar: 0.000 | Total_loss: 0.41860 (0.34965) Joint_loss: -2.4531 (0.054565) Cross_loss: 2.0254 (2.0247) Image_lambda_loss: 0.092076 (0.088259) Text_lambda_loss: 0.11184 (0.11185) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:56:06 | INFO | Train Epoch: 2 [7167980/9193800 (78%)] Step: 6.4K | Data (t): 0.289 Batch (t): 1.313, 3091.27/s, 1545.64/s/gpu Logit Scale: 26.985 | Logit Bias: -14.905  | Lambda Scalar: 0.000 | Total_loss: 0.44603 (0.35472) Joint_loss: -3.3033 (-0.12216) Cross_loss: 2.0140 (2.0241) Image_lambda_loss: 0.099066 (0.088828) Text_lambda_loss: 0.10270 (0.11137) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,05:58:14 | INFO | Train Epoch: 2 [7565980/9193800 (82%)] Step: 6.5K | Data (t): 0.280 Batch (t): 1.272, 2822.11/s, 1411.06/s/gpu Logit Scale: 27.255 | Logit Bias: -14.915  | Lambda Scalar: 0.000 | Total_loss: 0.45011 (0.35949) Joint_loss: -3.5573 (-0.29392) Cross_loss: 1.9897 (2.0224) Image_lambda_loss: 0.10513 (0.089643) Text_lambda_loss: 0.13291 (0.11245) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,06:00:18 | INFO | Train Epoch: 2 [7963980/9193800 (87%)] Step: 6.6K | Data (t): 0.242 Batch (t): 1.248, 3206.26/s, 1603.13/s/gpu Logit Scale: 27.528 | Logit Bias: -14.925  | Lambda Scalar: 0.000 | Total_loss: 0.44618 (0.36362) Joint_loss: -3.5260 (-0.44783) Cross_loss: 2.0374 (2.0231) Image_lambda_loss: 0.11509 (0.090855) Text_lambda_loss: 0.14060 (0.11379) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,06:02:30 | INFO | Train Epoch: 2 [8361980/9193800 (91%)] Step: 6.7K | Data (t): 0.260 Batch (t): 1.312, 3365.30/s, 1682.65/s/gpu Logit Scale: 27.805 | Logit Bias: -14.935  | Lambda Scalar: 0.000 | Total_loss: 0.45177 (0.36762) Joint_loss: -3.7939 (-0.59992) Cross_loss: 2.0457 (2.0242) Image_lambda_loss: 0.10157 (0.091342) Text_lambda_loss: 0.11608 (0.11389) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,06:04:34 | INFO | Train Epoch: 2 [8759980/9193800 (95%)] Step: 6.8K | Data (t): 0.254 Batch (t): 1.245, 3138.70/s, 1569.35/s/gpu Logit Scale: 28.084 | Logit Bias: -14.945  | Lambda Scalar: 0.000 | Total_loss: 0.45811 (0.37156) Joint_loss: -4.0649 (-0.75057) Cross_loss: 2.0758 (2.0264) Image_lambda_loss: 0.12329 (0.092731) Text_lambda_loss: 0.16028 (0.11591) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,06:06:41 | INFO | Train Epoch: 2 [9157980/9193800 (100%)] Step: 6.9K | Data (t): 0.266 Batch (t): 1.269, 3122.70/s, 1561.35/s/gpu Logit Scale: 28.365 | Logit Bias: -14.955  | Lambda Scalar: 0.000 | Total_loss: 0.46779 (0.37557) Joint_loss: -4.4774 (-0.90586) Cross_loss: 2.0616 (2.0279) Image_lambda_loss: 0.12589 (0.094113) Text_lambda_loss: 0.14488 (0.11712) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,06:06:53 | INFO | Train Epoch: 2 [9193800/9193800 (100%)] Step: 6.9K | Data (t): 0.272 Batch (t): 1.297, 3160.18/s, 1580.09/s/gpu Logit Scale: 28.391 | Logit Bias: -14.956  | Lambda Scalar: 0.000 | Total_loss: 0.47420 (0.37951) Joint_loss: -4.6802 (-1.0568) Cross_loss: 2.0496 (2.0287) Image_lambda_loss: 0.10162 (0.094413) Text_lambda_loss: 0.13029 (0.11764) | L_updates: 9 | z_beta: 0.03044818699548535, model_beta: 0.9992 | 
2025-01-24,06:06:53 | INFO | Starting zero-shot imagenet.
2025-01-24,06:06:53 | INFO | Building zero-shot classifier
2025-01-24,06:07:00 | INFO | Using classifier
2025-01-24,06:08:04 | INFO | Finished zero-shot imagenet.
2025-01-24,06:08:12 | INFO | Eval Epoch: 3 [1990 / 205824]	Clip Loss: 3.047213	
2025-01-24,06:08:45 | INFO | Eval Epoch: 3 imagenet-zeroshot-val-top1: 0.0965	imagenet-zeroshot-val-top5: 0.2439	image_to_text_mean_rank: 109.5599	image_to_text_median_rank: 9.0000	image_to_text_R@1: 0.2087	image_to_text_R@5: 0.4242	image_to_text_R@10: 0.5173	text_to_image_mean_rank: 121.2571	text_to_image_median_rank: 9.0000	text_to_image_R@1: 0.2089	text_to_image_R@5: 0.4183	text_to_image_R@10: 0.5183	clip_val_loss: 2.9472	epoch: 3.0000	num_samples: 8678.0000
2025-01-24,06:08:47 | INFO | Start epoch 3
2025-01-24,06:08:57 | INFO | Train Epoch: 3 [   3980/9193800 (0%)] Step: 6.9K | Data (t): 9.150 Batch (t): 10.114, 393.514/s, 196.757/s/gpu Logit Scale: 28.393 | Logit Bias: -14.956  | Lambda Scalar: 0.000 | Total_loss: 0.47039 (0.47039) Joint_loss: -4.9274 (-4.9274) Cross_loss: 1.6973 (1.6973) Image_lambda_loss: 0.11678 (0.11678) Text_lambda_loss: 0.14215 (0.14215) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:11:02 | INFO | Train Epoch: 3 [ 401980/9193800 (4%)] Step: 7.0K | Data (t): 0.185 Batch (t): 1.243, 2837.62/s, 1418.81/s/gpu Logit Scale: 28.676 | Logit Bias: -14.966  | Lambda Scalar: 0.000 | Total_loss: 0.42440 (0.44740) Joint_loss: -3.4337 (-4.1805) Cross_loss: 2.0281 (1.8627) Image_lambda_loss: 0.14057 (0.12867) Text_lambda_loss: 0.15211 (0.14713) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:13:09 | INFO | Train Epoch: 3 [ 799980/9193800 (9%)] Step: 7.1K | Data (t): 0.283 Batch (t): 1.278, 2917.86/s, 1458.93/s/gpu Logit Scale: 28.963 | Logit Bias: -14.976  | Lambda Scalar: 0.000 | Total_loss: 0.41325 (0.43601) Joint_loss: -3.1684 (-3.8432) Cross_loss: 2.0972 (1.9409) Image_lambda_loss: 0.12854 (0.12863) Text_lambda_loss: 0.13884 (0.14437) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:15:17 | INFO | Train Epoch: 3 [1197980/9193800 (13%)] Step: 7.2K | Data (t): 0.275 Batch (t): 1.274, 3113.66/s, 1556.83/s/gpu Logit Scale: 29.251 | Logit Bias: -14.986  | Lambda Scalar: 0.000 | Total_loss: 0.43546 (0.43588) Joint_loss: -4.0083 (-3.8844) Cross_loss: 2.0156 (1.9596) Image_lambda_loss: 0.11710 (0.12575) Text_lambda_loss: 0.13085 (0.14099) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:17:25 | INFO | Train Epoch: 3 [1595980/9193800 (17%)] Step: 7.3K | Data (t): 0.262 Batch (t): 1.285, 2810.45/s, 1405.22/s/gpu Logit Scale: 29.544 | Logit Bias: -14.996  | Lambda Scalar: 0.000 | Total_loss: 0.43481 (0.43566) Joint_loss: -4.0568 (-3.9189) Cross_loss: 2.0753 (1.9827) Image_lambda_loss: 0.13010 (0.12662) Text_lambda_loss: 0.14970 (0.14273) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:19:33 | INFO | Train Epoch: 3 [1993980/9193800 (22%)] Step: 7.4K | Data (t): 0.269 Batch (t): 1.277, 3280.04/s, 1640.02/s/gpu Logit Scale: 29.839 | Logit Bias: -15.006  | Lambda Scalar: 0.000 | Total_loss: 0.44831 (0.43777) Joint_loss: -4.6617 (-4.0427) Cross_loss: 1.9948 (1.9847) Image_lambda_loss: 0.12758 (0.12678) Text_lambda_loss: 0.16662 (0.14671) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:21:39 | INFO | Train Epoch: 3 [2391980/9193800 (26%)] Step: 7.5K | Data (t): 0.270 Batch (t): 1.259, 3434.20/s, 1717.10/s/gpu Logit Scale: 30.137 | Logit Bias: -15.016  | Lambda Scalar: 0.000 | Total_loss: 0.44400 (0.43866) Joint_loss: -4.6174 (-4.1248) Cross_loss: 2.0451 (1.9933) Image_lambda_loss: 0.13420 (0.12784) Text_lambda_loss: 0.16767 (0.14971) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:23:44 | INFO | Train Epoch: 3 [2789980/9193800 (30%)] Step: 7.6K | Data (t): 0.259 Batch (t): 1.254, 3047.42/s, 1523.71/s/gpu Logit Scale: 30.438 | Logit Bias: -15.026  | Lambda Scalar: 0.000 | Total_loss: 0.46346 (0.44176) Joint_loss: -5.4125 (-4.2858) Cross_loss: 1.9665 (1.9900) Image_lambda_loss: 0.12940 (0.12803) Text_lambda_loss: 0.14231 (0.14878) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:25:50 | INFO | Train Epoch: 3 [3187980/9193800 (35%)] Step: 7.7K | Data (t): 0.235 Batch (t): 1.256, 2879.84/s, 1439.92/s/gpu Logit Scale: 30.742 | Logit Bias: -15.035  | Lambda Scalar: 0.000 | Total_loss: 0.46135 (0.44394) Joint_loss: -5.4376 (-4.4137) Cross_loss: 2.0183 (1.9931) Image_lambda_loss: 0.15057 (0.13054) Text_lambda_loss: 0.16608 (0.15070) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:27:55 | INFO | Train Epoch: 3 [3585980/9193800 (39%)] Step: 7.8K | Data (t): 0.251 Batch (t): 1.253, 3501.72/s, 1750.86/s/gpu Logit Scale: 31.050 | Logit Bias: -15.045  | Lambda Scalar: 0.000 | Total_loss: 0.46677 (0.44622) Joint_loss: -5.7346 (-4.5458) Cross_loss: 2.0291 (1.9967) Image_lambda_loss: 0.14216 (0.13170) Text_lambda_loss: 0.15786 (0.15142) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:30:02 | INFO | Train Epoch: 3 [3983980/9193800 (43%)] Step: 7.9K | Data (t): 0.264 Batch (t): 1.263, 2927.63/s, 1463.81/s/gpu Logit Scale: 31.360 | Logit Bias: -15.055  | Lambda Scalar: 0.000 | Total_loss: 0.47402 (0.44875) Joint_loss: -6.1387 (-4.6906) Cross_loss: 1.9933 (1.9964) Image_lambda_loss: 0.15013 (0.13337) Text_lambda_loss: 0.16986 (0.15309) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:32:07 | INFO | Train Epoch: 3 [4381980/9193800 (48%)] Step: 8.0K | Data (t): 0.260 Batch (t): 1.255, 3264.40/s, 1632.20/s/gpu Logit Scale: 31.674 | Logit Bias: -15.065  | Lambda Scalar: 0.000 | Total_loss: 0.48119 (0.45145) Joint_loss: -6.5212 (-4.8432) Cross_loss: 1.9830 (1.9953) Image_lambda_loss: 0.13330 (0.13337) Text_lambda_loss: 0.16391 (0.15400) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:34:13 | INFO | Train Epoch: 3 [4779980/9193800 (52%)] Step: 8.1K | Data (t): 0.264 Batch (t): 1.259, 3397.99/s, 1698.99/s/gpu Logit Scale: 31.990 | Logit Bias: -15.075  | Lambda Scalar: 0.000 | Total_loss: 0.47226 (0.45305) Joint_loss: -6.3196 (-4.9568) Cross_loss: 2.0557 (1.9999) Image_lambda_loss: 0.15634 (0.13514) Text_lambda_loss: 0.17040 (0.15526) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:36:17 | INFO | Train Epoch: 3 [5177980/9193800 (56%)] Step: 8.2K | Data (t): 0.250 Batch (t): 1.243, 2993.42/s, 1496.71/s/gpu Logit Scale: 32.310 | Logit Bias: -15.085  | Lambda Scalar: 0.000 | Total_loss: 0.48188 (0.45511) Joint_loss: -6.8300 (-5.0906) Cross_loss: 2.0022 (2.0001) Image_lambda_loss: 0.14432 (0.13579) Text_lambda_loss: 0.16300 (0.15581) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:38:22 | INFO | Train Epoch: 3 [5575980/9193800 (61%)] Step: 8.3K | Data (t): 0.225 Batch (t): 1.248, 3095.28/s, 1547.64/s/gpu Logit Scale: 32.633 | Logit Bias: -15.095  | Lambda Scalar: 0.000 | Total_loss: 0.48524 (0.45712) Joint_loss: -7.0513 (-5.2213) Cross_loss: 2.0446 (2.0031) Image_lambda_loss: 0.15285 (0.13693) Text_lambda_loss: 0.17190 (0.15688) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:40:26 | INFO | Train Epoch: 3 [5973980/9193800 (65%)] Step: 8.4K | Data (t): 0.253 Batch (t): 1.241, 3329.34/s, 1664.67/s/gpu Logit Scale: 32.959 | Logit Bias: -15.105  | Lambda Scalar: 0.000 | Total_loss: 0.50034 (0.45982) Joint_loss: -7.7644 (-5.3802) Cross_loss: 1.9799 (2.0016) Image_lambda_loss: 0.14865 (0.13766) Text_lambda_loss: 0.18011 (0.15834) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:42:33 | INFO | Train Epoch: 3 [6371980/9193800 (69%)] Step: 8.5K | Data (t): 0.271 Batch (t): 1.269, 2810.98/s, 1405.49/s/gpu Logit Scale: 33.289 | Logit Bias: -15.115  | Lambda Scalar: 0.000 | Total_loss: 0.49529 (0.46191) Joint_loss: -7.6889 (-5.5160) Cross_loss: 2.0548 (2.0048) Image_lambda_loss: 0.14127 (0.13787) Text_lambda_loss: 0.16238 (0.15857) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:44:40 | INFO | Train Epoch: 3 [6769980/9193800 (74%)] Step: 8.6K | Data (t): 0.269 Batch (t): 1.268, 3334.72/s, 1667.36/s/gpu Logit Scale: 33.431 | Logit Bias: -15.119  | Lambda Scalar: 0.000 | Total_loss: 0.50388 (0.46424) Joint_loss: -8.0256 (-5.6554) Cross_loss: 2.0712 (2.0084) Image_lambda_loss: 0.16442 (0.13935) Text_lambda_loss: 0.15880 (0.15859) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:46:45 | INFO | Train Epoch: 3 [7167980/9193800 (78%)] Step: 8.7K | Data (t): 0.230 Batch (t): 1.249, 3247.10/s, 1623.55/s/gpu Logit Scale: 33.542 | Logit Bias: -15.123  | Lambda Scalar: 0.000 | Total_loss: 0.50658 (0.46647) Joint_loss: -8.1560 (-5.7871) Cross_loss: 2.0865 (2.0125) Image_lambda_loss: 0.15839 (0.14035) Text_lambda_loss: 0.17429 (0.15941) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:48:50 | INFO | Train Epoch: 3 [7565980/9193800 (82%)] Step: 8.8K | Data (t): 0.229 Batch (t): 1.255, 3171.63/s, 1585.81/s/gpu Logit Scale: 33.655 | Logit Bias: -15.126  | Lambda Scalar: 0.000 | Total_loss: 0.52953 (0.46962) Joint_loss: -9.0548 (-5.9504) Cross_loss: 2.0053 (2.0122) Image_lambda_loss: 0.14708 (0.14069) Text_lambda_loss: 0.16598 (0.15974) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:50:55 | INFO | Train Epoch: 3 [7963980/9193800 (87%)] Step: 8.9K | Data (t): 0.254 Batch (t): 1.250, 2832.14/s, 1416.07/s/gpu Logit Scale: 33.767 | Logit Bias: -15.129  | Lambda Scalar: 0.000 | Total_loss: 0.53168 (0.47258) Joint_loss: -9.1731 (-6.1039) Cross_loss: 2.0181 (2.0125) Image_lambda_loss: 0.14420 (0.14085) Text_lambda_loss: 0.15500 (0.15951) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:52:49 | INFO | Train Epoch: 3 [8361980/9193800 (91%)] Step: 9.0K | Data (t): 0.146 Batch (t): 1.140, 3886.53/s, 1943.27/s/gpu Logit Scale: 33.881 | Logit Bias: -15.133  | Lambda Scalar: 0.000 | Total_loss: 0.55162 (0.47617) Joint_loss: -9.9894 (-6.2805) Cross_loss: 1.9280 (2.0086) Image_lambda_loss: 0.14423 (0.14101) Text_lambda_loss: 0.15032 (0.15910) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:54:42 | INFO | Train Epoch: 3 [8759980/9193800 (95%)] Step: 9.1K | Data (t): 0.141 Batch (t): 1.130, 3826.07/s, 1913.04/s/gpu Logit Scale: 33.994 | Logit Bias: -15.136  | Lambda Scalar: 0.000 | Total_loss: 0.55163 (0.47945) Joint_loss: -9.9605 (-6.4405) Cross_loss: 2.0197 (2.0091) Image_lambda_loss: 0.14476 (0.14117) Text_lambda_loss: 0.15589 (0.15896) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:56:37 | INFO | Train Epoch: 3 [9157980/9193800 (100%)] Step: 9.2K | Data (t): 0.103 Batch (t): 1.143, 3569.33/s, 1784.67/s/gpu Logit Scale: 34.107 | Logit Bias: -15.139  | Lambda Scalar: 0.000 | Total_loss: 0.56224 (0.48290) Joint_loss: -10.401 (-6.6055) Cross_loss: 1.9980 (2.0086) Image_lambda_loss: 0.15568 (0.14178) Text_lambda_loss: 0.16995 (0.15942) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:56:47 | INFO | Train Epoch: 3 [9193800/9193800 (100%)] Step: 9.2K | Data (t): 0.159 Batch (t): 1.189, 3023.56/s, 1511.78/s/gpu Logit Scale: 34.118 | Logit Bias: -15.140  | Lambda Scalar: 0.000 | Total_loss: 0.56329 (0.48611) Joint_loss: -10.468 (-6.7601) Cross_loss: 1.9722 (2.0072) Image_lambda_loss: 0.14983 (0.14210) Text_lambda_loss: 0.17007 (0.15984) | L_updates: 9 | z_beta: 0.0674121550789819, model_beta: 0.9992 | 
2025-01-24,06:56:47 | INFO | Starting zero-shot imagenet.
2025-01-24,06:56:47 | INFO | Building zero-shot classifier
2025-01-24,06:56:55 | INFO | Using classifier
2025-01-24,06:57:57 | INFO | Finished zero-shot imagenet.
2025-01-24,06:58:05 | INFO | Eval Epoch: 4 [1990 / 205824]	Clip Loss: 2.672709	
2025-01-24,06:58:37 | INFO | Eval Epoch: 4 imagenet-zeroshot-val-top1: 0.1213	imagenet-zeroshot-val-top5: 0.2980	image_to_text_mean_rank: 79.2902	image_to_text_median_rank: 6.0000	image_to_text_R@1: 0.2490	image_to_text_R@5: 0.4826	image_to_text_R@10: 0.5854	text_to_image_mean_rank: 89.3035	text_to_image_median_rank: 6.0000	text_to_image_R@1: 0.2569	text_to_image_R@5: 0.4806	text_to_image_R@10: 0.5847	clip_val_loss: 2.5843	epoch: 4.0000	num_samples: 8678.0000
2025-01-24,06:58:39 | INFO | Start epoch 4
2025-01-24,06:58:48 | INFO | Train Epoch: 4 [   3980/9193800 (0%)] Step: 9.2K | Data (t): 8.380 Batch (t): 9.334, 426.414/s, 213.207/s/gpu Logit Scale: 34.119 | Logit Bias: -15.140  | Lambda Scalar: 0.000 | Total_loss: 0.53892 (0.53892) Joint_loss: -9.8468 (-9.8468) Cross_loss: 1.7748 (1.7748) Image_lambda_loss: 0.14865 (0.14865) Text_lambda_loss: 0.18080 (0.18080) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:00:51 | INFO | Train Epoch: 4 [ 401980/9193800 (4%)] Step: 9.3K | Data (t): 0.167 Batch (t): 1.231, 3131.37/s, 1565.69/s/gpu Logit Scale: 34.232 | Logit Bias: -15.143  | Lambda Scalar: 0.000 | Total_loss: 0.52393 (0.53142) Joint_loss: -9.1629 (-9.5049) Cross_loss: 2.0142 (1.8945) Image_lambda_loss: 0.15022 (0.14944) Text_lambda_loss: 0.17380 (0.17730) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:02:54 | INFO | Train Epoch: 4 [ 799980/9193800 (9%)] Step: 9.4K | Data (t): 0.241 Batch (t): 1.233, 3358.24/s, 1679.12/s/gpu Logit Scale: 34.347 | Logit Bias: -15.146  | Lambda Scalar: 0.000 | Total_loss: 0.54291 (0.53525) Joint_loss: -9.9551 (-9.6549) Cross_loss: 1.9246 (1.9046) Image_lambda_loss: 0.17678 (0.15855) Text_lambda_loss: 0.18439 (0.17966) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:04:59 | INFO | Train Epoch: 4 [1197980/9193800 (13%)] Step: 9.5K | Data (t): 0.260 Batch (t): 1.243, 3179.07/s, 1589.54/s/gpu Logit Scale: 34.461 | Logit Bias: -15.150  | Lambda Scalar: 0.000 | Total_loss: 0.54603 (0.53795) Joint_loss: -9.9964 (-9.7403) Cross_loss: 2.0510 (1.9412) Image_lambda_loss: 0.17226 (0.16198) Text_lambda_loss: 0.20009 (0.18477) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:07:03 | INFO | Train Epoch: 4 [1595980/9193800 (17%)] Step: 9.6K | Data (t): 0.253 Batch (t): 1.245, 2999.56/s, 1499.78/s/gpu Logit Scale: 34.575 | Logit Bias: -15.153  | Lambda Scalar: 0.000 | Total_loss: 0.55047 (0.54045) Joint_loss: -10.209 (-9.8340) Cross_loss: 2.0525 (1.9635) Image_lambda_loss: 0.15354 (0.16029) Text_lambda_loss: 0.17207 (0.18223) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:09:09 | INFO | Train Epoch: 4 [1993980/9193800 (22%)] Step: 9.7K | Data (t): 0.256 Batch (t): 1.254, 2933.89/s, 1466.94/s/gpu Logit Scale: 34.691 | Logit Bias: -15.156  | Lambda Scalar: 0.000 | Total_loss: 0.55752 (0.54330) Joint_loss: -10.548 (-9.9531) Cross_loss: 2.0174 (1.9724) Image_lambda_loss: 0.15138 (0.15881) Text_lambda_loss: 0.16858 (0.17995) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:11:12 | INFO | Train Epoch: 4 [2391980/9193800 (26%)] Step: 9.8K | Data (t): 0.193 Batch (t): 1.238, 3189.48/s, 1594.74/s/gpu Logit Scale: 34.806 | Logit Bias: -15.160  | Lambda Scalar: 0.000 | Total_loss: 0.56220 (0.54600) Joint_loss: -10.740 (-10.065) Cross_loss: 2.0509 (1.9837) Image_lambda_loss: 0.15003 (0.15755) Text_lambda_loss: 0.16992 (0.17852) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:13:21 | INFO | Train Epoch: 4 [2789980/9193800 (30%)] Step: 9.9K | Data (t): 0.261 Batch (t): 1.289, 3341.02/s, 1670.51/s/gpu Logit Scale: 34.922 | Logit Bias: -15.163  | Lambda Scalar: 0.000 | Total_loss: 0.57049 (0.54906) Joint_loss: -11.143 (-10.200) Cross_loss: 1.9990 (1.9856) Image_lambda_loss: 0.16129 (0.15802) Text_lambda_loss: 0.17458 (0.17803) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:15:31 | INFO | Train Epoch: 4 [3187980/9193800 (35%)] Step: 10.0K | Data (t): 0.270 Batch (t): 1.296, 3293.24/s, 1646.62/s/gpu Logit Scale: 35.037 | Logit Bias: -15.166  | Lambda Scalar: 0.000 | Total_loss: 0.55950 (0.55022) Joint_loss: -10.736 (-10.260) Cross_loss: 2.0918 (1.9974) Image_lambda_loss: 0.17004 (0.15936) Text_lambda_loss: 0.18170 (0.17844) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:17:35 | INFO | Train Epoch: 4 [3585980/9193800 (39%)] Step: 10.1K | Data (t): 0.247 Batch (t): 1.244, 3594.74/s, 1797.37/s/gpu Logit Scale: 35.154 | Logit Bias: -15.170  | Lambda Scalar: 0.000 | Total_loss: 0.58471 (0.55367) Joint_loss: -11.809 (-10.415) Cross_loss: 1.9574 (1.9934) Image_lambda_loss: 0.15122 (0.15854) Text_lambda_loss: 0.16907 (0.17750) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:19:43 | INFO | Train Epoch: 4 [3983980/9193800 (43%)] Step: 10.2K | Data (t): 0.277 Batch (t): 1.277, 3008.36/s, 1504.18/s/gpu Logit Scale: 35.271 | Logit Bias: -15.173  | Lambda Scalar: 0.000 | Total_loss: 0.58874 (0.55686) Joint_loss: -11.957 (-10.555) Cross_loss: 2.0185 (1.9957) Image_lambda_loss: 0.16099 (0.15876) Text_lambda_loss: 0.15892 (0.17581) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:21:49 | INFO | Train Epoch: 4 [4381980/9193800 (48%)] Step: 10.3K | Data (t): 0.267 Batch (t): 1.260, 3187.58/s, 1593.79/s/gpu Logit Scale: 35.389 | Logit Bias: -15.176  | Lambda Scalar: 0.000 | Total_loss: 0.58564 (0.55925) Joint_loss: -11.817 (-10.660) Cross_loss: 2.1194 (2.0060) Image_lambda_loss: 0.16041 (0.15890) Text_lambda_loss: 0.18081 (0.17623) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:23:55 | INFO | Train Epoch: 4 [4779980/9193800 (52%)] Step: 10.4K | Data (t): 0.275 Batch (t): 1.261, 3395.26/s, 1697.63/s/gpu Logit Scale: 35.507 | Logit Bias: -15.180  | Lambda Scalar: 0.000 | Total_loss: 0.59144 (0.56173) Joint_loss: -12.122 (-10.773) Cross_loss: 2.0862 (2.0121) Image_lambda_loss: 0.15508 (0.15861) Text_lambda_loss: 0.17224 (0.17592) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:26:02 | INFO | Train Epoch: 4 [5177980/9193800 (56%)] Step: 10.5K | Data (t): 0.268 Batch (t): 1.270, 3120.39/s, 1560.20/s/gpu Logit Scale: 35.626 | Logit Bias: -15.183  | Lambda Scalar: 0.000 | Total_loss: 0.60709 (0.56497) Joint_loss: -12.813 (-10.918) Cross_loss: 2.0150 (2.0124) Image_lambda_loss: 0.15272 (0.15819) Text_lambda_loss: 0.16699 (0.17528) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:28:08 | INFO | Train Epoch: 4 [5575980/9193800 (61%)] Step: 10.6K | Data (t): 0.270 Batch (t): 1.263, 3264.79/s, 1632.39/s/gpu Logit Scale: 35.744 | Logit Bias: -15.186  | Lambda Scalar: 0.000 | Total_loss: 0.61397 (0.56824) Joint_loss: -13.129 (-11.066) Cross_loss: 2.0144 (2.0125) Image_lambda_loss: 0.17447 (0.15927) Text_lambda_loss: 0.19269 (0.17644) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:30:14 | INFO | Train Epoch: 4 [5973980/9193800 (65%)] Step: 10.7K | Data (t): 0.268 Batch (t): 1.254, 3520.43/s, 1760.21/s/gpu Logit Scale: 35.864 | Logit Bias: -15.190  | Lambda Scalar: 0.000 | Total_loss: 0.61267 (0.57101) Joint_loss: -13.072 (-11.191) Cross_loss: 2.0990 (2.0179) Image_lambda_loss: 0.17872 (0.16049) Text_lambda_loss: 0.19237 (0.17744) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:32:16 | INFO | Train Epoch: 4 [6371980/9193800 (69%)] Step: 10.8K | Data (t): 0.234 Batch (t): 1.227, 3420.01/s, 1710.01/s/gpu Logit Scale: 35.983 | Logit Bias: -15.193  | Lambda Scalar: 0.000 | Total_loss: 0.62438 (0.57415) Joint_loss: -13.670 (-11.337) Cross_loss: 1.9892 (2.0162) Image_lambda_loss: 0.15671 (0.16027) Text_lambda_loss: 0.19272 (0.17834) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:34:21 | INFO | Train Epoch: 4 [6769980/9193800 (74%)] Step: 10.9K | Data (t): 0.259 Batch (t): 1.249, 3125.62/s, 1562.81/s/gpu Logit Scale: 36.103 | Logit Bias: -15.196  | Lambda Scalar: 0.000 | Total_loss: 0.62336 (0.57689) Joint_loss: -13.572 (-11.461) Cross_loss: 2.1256 (2.0223) Image_lambda_loss: 0.16059 (0.16028) Text_lambda_loss: 0.18179 (0.17853) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:36:26 | INFO | Train Epoch: 4 [7167980/9193800 (78%)] Step: 11.0K | Data (t): 0.257 Batch (t): 1.243, 3523.03/s, 1761.51/s/gpu Logit Scale: 36.223 | Logit Bias: -15.200  | Lambda Scalar: 0.000 | Total_loss: 0.63519 (0.57996) Joint_loss: -14.233 (-11.607) Cross_loss: 1.9623 (2.0191) Image_lambda_loss: 0.14907 (0.15969) Text_lambda_loss: 0.15589 (0.17734) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:38:29 | INFO | Train Epoch: 4 [7565980/9193800 (82%)] Step: 11.1K | Data (t): 0.251 Batch (t): 1.237, 3438.23/s, 1719.11/s/gpu Logit Scale: 36.344 | Logit Bias: -15.203  | Lambda Scalar: 0.000 | Total_loss: 0.63696 (0.58281) Joint_loss: -14.274 (-11.740) Cross_loss: 2.0617 (2.0213) Image_lambda_loss: 0.16188 (0.15980) Text_lambda_loss: 0.18803 (0.17787) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:40:33 | INFO | Train Epoch: 4 [7963980/9193800 (87%)] Step: 11.2K | Data (t): 0.252 Batch (t): 1.240, 3201.41/s, 1600.71/s/gpu Logit Scale: 36.465 | Logit Bias: -15.206  | Lambda Scalar: 0.000 | Total_loss: 0.64215 (0.58563) Joint_loss: -14.561 (-11.875) Cross_loss: 2.0379 (2.0221) Image_lambda_loss: 0.16071 (0.15985) Text_lambda_loss: 0.17301 (0.17764) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:42:30 | INFO | Train Epoch: 4 [8361980/9193800 (91%)] Step: 11.3K | Data (t): 0.157 Batch (t): 1.164, 3285.31/s, 1642.66/s/gpu Logit Scale: 36.588 | Logit Bias: -15.210  | Lambda Scalar: 0.000 | Total_loss: 0.64736 (0.58844) Joint_loss: -14.818 (-12.008) Cross_loss: 2.0485 (2.0233) Image_lambda_loss: 0.16631 (0.16014) Text_lambda_loss: 0.17223 (0.17739) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:44:30 | INFO | Train Epoch: 4 [8759980/9193800 (95%)] Step: 11.4K | Data (t): 0.142 Batch (t): 1.205, 3302.77/s, 1651.38/s/gpu Logit Scale: 36.710 | Logit Bias: -15.213  | Lambda Scalar: 0.000 | Total_loss: 0.64488 (0.59089) Joint_loss: -14.729 (-12.127) Cross_loss: 2.1262 (2.0277) Image_lambda_loss: 0.17074 (0.16060) Text_lambda_loss: 0.19212 (0.17803) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:46:34 | INFO | Train Epoch: 4 [9157980/9193800 (100%)] Step: 11.5K | Data (t): 0.253 Batch (t): 1.236, 3073.75/s, 1536.88/s/gpu Logit Scale: 36.833 | Logit Bias: -15.216  | Lambda Scalar: 0.000 | Total_loss: 0.65702 (0.59365) Joint_loss: -15.343 (-12.261) Cross_loss: 2.0322 (2.0279) Image_lambda_loss: 0.14539 (0.15997) Text_lambda_loss: 0.16827 (0.17763) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:46:45 | INFO | Train Epoch: 4 [9193800/9193800 (100%)] Step: 11.5K | Data (t): 0.226 Batch (t): 1.207, 3334.87/s, 1667.43/s/gpu Logit Scale: 36.844 | Logit Bias: -15.217  | Lambda Scalar: 0.000 | Total_loss: 0.65782 (0.59621) Joint_loss: -15.390 (-12.386) Cross_loss: 2.0217 (2.0277) Image_lambda_loss: 0.15376 (0.15972) Text_lambda_loss: 0.16364 (0.17707) | L_updates: 9 | z_beta: 0.11715728752538102, model_beta: 0.9992 | 
2025-01-24,07:46:45 | INFO | Starting zero-shot imagenet.
2025-01-24,07:46:45 | INFO | Building zero-shot classifier
2025-01-24,07:46:52 | INFO | Using classifier
2025-01-24,07:47:56 | INFO | Finished zero-shot imagenet.
2025-01-24,07:48:04 | INFO | Eval Epoch: 5 [1990 / 205824]	Clip Loss: 2.402726	
2025-01-24,07:48:37 | INFO | Eval Epoch: 5 imagenet-zeroshot-val-top1: 0.1462	imagenet-zeroshot-val-top5: 0.3367	image_to_text_mean_rank: 63.1124	image_to_text_median_rank: 4.0000	image_to_text_R@1: 0.2919	image_to_text_R@5: 0.5335	image_to_text_R@10: 0.6322	text_to_image_mean_rank: 72.5822	text_to_image_median_rank: 4.0000	text_to_image_R@1: 0.3025	text_to_image_R@5: 0.5408	text_to_image_R@10: 0.6412	clip_val_loss: 2.3214	epoch: 5.0000	num_samples: 8678.0000
2025-01-24,07:48:39 | INFO | Start epoch 5
2025-01-24,07:48:49 | INFO | Train Epoch: 5 [   3980/9193800 (0%)] Step: 11.6K | Data (t): 8.832 Batch (t): 9.808, 405.812/s, 202.906/s/gpu Logit Scale: 36.845 | Logit Bias: -15.217  | Lambda Scalar: 0.000 | Total_loss: 0.65822 (0.65822) Joint_loss: -15.627 (-15.627) Cross_loss: 1.8003 (1.8003) Image_lambda_loss: 0.15722 (0.15722) Text_lambda_loss: 0.16602 (0.16602) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,07:50:55 | INFO | Train Epoch: 5 [ 401980/9193800 (4%)] Step: 11.7K | Data (t): 0.216 Batch (t): 1.264, 3195.88/s, 1597.94/s/gpu Logit Scale: 36.967 | Logit Bias: -15.220  | Lambda Scalar: 0.000 | Total_loss: 0.64600 (0.65211) Joint_loss: -15.144 (-15.385) Cross_loss: 1.9185 (1.8594) Image_lambda_loss: 0.17220 (0.16471) Text_lambda_loss: 0.16920 (0.16761) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,07:53:04 | INFO | Train Epoch: 5 [ 799980/9193800 (9%)] Step: 11.8K | Data (t): 0.292 Batch (t): 1.290, 3019.69/s, 1509.85/s/gpu Logit Scale: 37.090 | Logit Bias: -15.223  | Lambda Scalar: 0.000 | Total_loss: 0.64775 (0.65066) Joint_loss: -15.124 (-15.298) Cross_loss: 2.0815 (1.9334) Image_lambda_loss: 0.18265 (0.17069) Text_lambda_loss: 0.18525 (0.17349) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,07:55:11 | INFO | Train Epoch: 5 [1197980/9193800 (13%)] Step: 11.8K | Data (t): 0.277 Batch (t): 1.275, 3613.58/s, 1806.79/s/gpu Logit Scale: 37.213 | Logit Bias: -15.227  | Lambda Scalar: 0.000 | Total_loss: 0.65723 (0.65230) Joint_loss: -15.653 (-15.387) Cross_loss: 1.9807 (1.9453) Image_lambda_loss: 0.16388 (0.16899) Text_lambda_loss: 0.19088 (0.17784) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,07:57:18 | INFO | Train Epoch: 5 [1595980/9193800 (17%)] Step: 11.9K | Data (t): 0.273 Batch (t): 1.268, 3042.20/s, 1521.10/s/gpu Logit Scale: 37.337 | Logit Bias: -15.230  | Lambda Scalar: 0.000 | Total_loss: 0.64393 (0.65063) Joint_loss: -15.141 (-15.338) Cross_loss: 2.0835 (1.9729) Image_lambda_loss: 0.17914 (0.17102) Text_lambda_loss: 0.17994 (0.17826) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,07:59:25 | INFO | Train Epoch: 5 [1993980/9193800 (22%)] Step: 12.1K | Data (t): 0.278 Batch (t): 1.270, 3288.86/s, 1644.43/s/gpu Logit Scale: 37.460 | Logit Bias: -15.233  | Lambda Scalar: 0.000 | Total_loss: 0.65983 (0.65216) Joint_loss: -15.828 (-15.420) Cross_loss: 2.0633 (1.9880) Image_lambda_loss: 0.17352 (0.17144) Text_lambda_loss: 0.18611 (0.17957) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:01:32 | INFO | Train Epoch: 5 [2391980/9193800 (26%)] Step: 12.2K | Data (t): 0.274 Batch (t): 1.267, 3000.02/s, 1500.01/s/gpu Logit Scale: 37.584 | Logit Bias: -15.237  | Lambda Scalar: 0.000 | Total_loss: 0.66500 (0.65400) Joint_loss: -16.216 (-15.533) Cross_loss: 1.9493 (1.9824) Image_lambda_loss: 0.16617 (0.17068) Text_lambda_loss: 0.18412 (0.18022) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:03:37 | INFO | Train Epoch: 5 [2789980/9193800 (30%)] Step: 12.2K | Data (t): 0.219 Batch (t): 1.252, 3122.23/s, 1561.11/s/gpu Logit Scale: 37.709 | Logit Bias: -15.240  | Lambda Scalar: 0.000 | Total_loss: 0.67848 (0.65706) Joint_loss: -16.852 (-15.698) Cross_loss: 1.8978 (1.9719) Image_lambda_loss: 0.19220 (0.17337) Text_lambda_loss: 0.20160 (0.18289) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:05:44 | INFO | Train Epoch: 5 [3187980/9193800 (35%)] Step: 12.3K | Data (t): 0.239 Batch (t): 1.269, 3362.39/s, 1681.19/s/gpu Logit Scale: 37.834 | Logit Bias: -15.243  | Lambda Scalar: 0.000 | Total_loss: 0.67147 (0.65866) Joint_loss: -16.622 (-15.801) Cross_loss: 1.9511 (1.9696) Image_lambda_loss: 0.16598 (0.17255) Text_lambda_loss: 0.17938 (0.18250) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:07:48 | INFO | Train Epoch: 5 [3585980/9193800 (39%)] Step: 12.4K | Data (t): 0.220 Batch (t): 1.235, 3520.55/s, 1760.28/s/gpu Logit Scale: 37.960 | Logit Bias: -15.247  | Lambda Scalar: 0.000 | Total_loss: 0.66561 (0.65935) Joint_loss: -16.361 (-15.857) Cross_loss: 2.0772 (1.9803) Image_lambda_loss: 0.19589 (0.17489) Text_lambda_loss: 0.19128 (0.18338) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:09:48 | INFO | Train Epoch: 5 [3983980/9193800 (43%)] Step: 12.6K | Data (t): 0.214 Batch (t): 1.205, 3303.24/s, 1651.62/s/gpu Logit Scale: 38.087 | Logit Bias: -15.250  | Lambda Scalar: 0.000 | Total_loss: 0.67354 (0.66064) Joint_loss: -16.735 (-15.937) Cross_loss: 2.0851 (1.9898) Image_lambda_loss: 0.20479 (0.17761) Text_lambda_loss: 0.21043 (0.18584) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:11:49 | INFO | Train Epoch: 5 [4381980/9193800 (48%)] Step: 12.7K | Data (t): 0.231 Batch (t): 1.212, 3189.03/s, 1594.51/s/gpu Logit Scale: 38.213 | Logit Bias: -15.253  | Lambda Scalar: 0.000 | Total_loss: 0.68810 (0.66293) Joint_loss: -17.485 (-16.066) Cross_loss: 1.9694 (1.9881) Image_lambda_loss: 0.18619 (0.17832) Text_lambda_loss: 0.19293 (0.18643) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:13:50 | INFO | Train Epoch: 5 [4779980/9193800 (52%)] Step: 12.8K | Data (t): 0.220 Batch (t): 1.204, 3568.82/s, 1784.41/s/gpu Logit Scale: 38.340 | Logit Bias: -15.257  | Lambda Scalar: 0.000 | Total_loss: 0.68976 (0.66499) Joint_loss: -17.625 (-16.186) Cross_loss: 1.9799 (1.9875) Image_lambda_loss: 0.18315 (0.17869) Text_lambda_loss: 0.18994 (0.18670) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:15:52 | INFO | Train Epoch: 5 [5177980/9193800 (56%)] Step: 12.8K | Data (t): 0.223 Batch (t): 1.226, 3540.42/s, 1770.21/s/gpu Logit Scale: 38.468 | Logit Bias: -15.260  | Lambda Scalar: 0.000 | Total_loss: 0.68355 (0.66632) Joint_loss: -17.356 (-16.269) Cross_loss: 2.1013 (1.9956) Image_lambda_loss: 0.17618 (0.17851) Text_lambda_loss: 0.20076 (0.18770) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:17:54 | INFO | Train Epoch: 5 [5575980/9193800 (61%)] Step: 12.9K | Data (t): 0.221 Batch (t): 1.219, 2990.31/s, 1495.15/s/gpu Logit Scale: 38.596 | Logit Bias: -15.263  | Lambda Scalar: 0.000 | Total_loss: 0.69006 (0.66790) Joint_loss: -17.802 (-16.372) Cross_loss: 1.9905 (1.9953) Image_lambda_loss: 0.17835 (0.17850) Text_lambda_loss: 0.21324 (0.18941) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:19:56 | INFO | Train Epoch: 5 [5973980/9193800 (65%)] Step: 13.1K | Data (t): 0.228 Batch (t): 1.219, 3600.30/s, 1800.15/s/gpu Logit Scale: 38.724 | Logit Bias: -15.267  | Lambda Scalar: 0.000 | Total_loss: 0.69072 (0.66933) Joint_loss: -17.809 (-16.461) Cross_loss: 2.0975 (2.0017) Image_lambda_loss: 0.19477 (0.17952) Text_lambda_loss: 0.19915 (0.19001) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:21:58 | INFO | Train Epoch: 5 [6371980/9193800 (69%)] Step: 13.2K | Data (t): 0.211 Batch (t): 1.215, 3662.64/s, 1831.32/s/gpu Logit Scale: 38.852 | Logit Bias: -15.270  | Lambda Scalar: 0.000 | Total_loss: 0.69609 (0.67090) Joint_loss: -18.157 (-16.561) Cross_loss: 2.0444 (2.0042) Image_lambda_loss: 0.17922 (0.17950) Text_lambda_loss: 0.18827 (0.18991) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:23:58 | INFO | Train Epoch: 5 [6769980/9193800 (74%)] Step: 13.2K | Data (t): 0.224 Batch (t): 1.208, 3074.37/s, 1537.18/s/gpu Logit Scale: 38.982 | Logit Bias: -15.273  | Lambda Scalar: 0.000 | Total_loss: 0.70537 (0.67282) Joint_loss: -18.645 (-16.677) Cross_loss: 2.0031 (2.0041) Image_lambda_loss: 0.17919 (0.17948) Text_lambda_loss: 0.18666 (0.18973) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:25:59 | INFO | Train Epoch: 5 [7167980/9193800 (78%)] Step: 13.3K | Data (t): 0.215 Batch (t): 1.203, 3561.77/s, 1780.88/s/gpu Logit Scale: 39.111 | Logit Bias: -15.277  | Lambda Scalar: 0.000 | Total_loss: 0.70480 (0.67450) Joint_loss: -18.704 (-16.784) Cross_loss: 2.0135 (2.0046) Image_lambda_loss: 0.17961 (0.17949) Text_lambda_loss: 0.19204 (0.18985) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:28:01 | INFO | Train Epoch: 5 [7565980/9193800 (82%)] Step: 13.4K | Data (t): 0.215 Batch (t): 1.228, 3229.96/s, 1614.98/s/gpu Logit Scale: 39.241 | Logit Bias: -15.280  | Lambda Scalar: 0.000 | Total_loss: 0.70619 (0.67609) Joint_loss: -18.813 (-16.885) Cross_loss: 2.0494 (2.0069) Image_lambda_loss: 0.17008 (0.17902) Text_lambda_loss: 0.18876 (0.18980) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:30:02 | INFO | Train Epoch: 5 [7963980/9193800 (87%)] Step: 13.6K | Data (t): 0.219 Batch (t): 1.210, 3451.04/s, 1725.52/s/gpu Logit Scale: 39.371 | Logit Bias: -15.283  | Lambda Scalar: 0.000 | Total_loss: 0.71540 (0.67796) Joint_loss: -19.347 (-17.002) Cross_loss: 1.9663 (2.0049) Image_lambda_loss: 0.17147 (0.17866) Text_lambda_loss: 0.17100 (0.18890) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:31:56 | INFO | Train Epoch: 5 [8361980/9193800 (91%)] Step: 13.7K | Data (t): 0.092 Batch (t): 1.140, 3568.58/s, 1784.29/s/gpu Logit Scale: 39.504 | Logit Bias: -15.287  | Lambda Scalar: 0.000 | Total_loss: 0.70838 (0.67934) Joint_loss: -19.008 (-17.093) Cross_loss: 2.1253 (2.0104) Image_lambda_loss: 0.21858 (0.18047) Text_lambda_loss: 0.23047 (0.19079) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:33:52 | INFO | Train Epoch: 5 [8759980/9193800 (95%)] Step: 13.8K | Data (t): 0.188 Batch (t): 1.153, 3732.79/s, 1866.39/s/gpu Logit Scale: 39.636 | Logit Bias: -15.290  | Lambda Scalar: 0.000 | Total_loss: 0.71552 (0.68091) Joint_loss: -19.419 (-17.195) Cross_loss: 2.0878 (2.0138) Image_lambda_loss: 0.19993 (0.18132) Text_lambda_loss: 0.20754 (0.19152) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:35:47 | INFO | Train Epoch: 5 [9157980/9193800 (100%)] Step: 13.8K | Data (t): 0.164 Batch (t): 1.157, 3542.58/s, 1771.29/s/gpu Logit Scale: 39.767 | Logit Bias: -15.293  | Lambda Scalar: 0.000 | Total_loss: 0.71854 (0.68248) Joint_loss: -19.742 (-17.301) Cross_loss: 1.9773 (2.0122) Image_lambda_loss: 0.18107 (0.18131) Text_lambda_loss: 0.19912 (0.19184) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:35:58 | INFO | Train Epoch: 5 [9193800/9193800 (100%)] Step: 13.9K | Data (t): 0.199 Batch (t): 1.197, 3234.59/s, 1617.30/s/gpu Logit Scale: 39.779 | Logit Bias: -15.294  | Lambda Scalar: 0.000 | Total_loss: 0.72009 (0.68399) Joint_loss: -19.857 (-17.403) Cross_loss: 1.9320 (2.0090) Image_lambda_loss: 0.20603 (0.18230) Text_lambda_loss: 0.20263 (0.19227) | L_updates: 9 | z_beta: 0.17777190679215915, model_beta: 0.9992 | 
2025-01-24,08:35:58 | INFO | Starting zero-shot imagenet.
2025-01-24,08:35:58 | INFO | Building zero-shot classifier
2025-01-24,08:36:05 | INFO | Using classifier
2025-01-24,08:37:07 | INFO | Finished zero-shot imagenet.
2025-01-24,08:37:15 | INFO | Eval Epoch: 6 [1990 / 205824]	Clip Loss: 2.265158	
2025-01-24,08:37:46 | INFO | Eval Epoch: 6 imagenet-zeroshot-val-top1: 0.1617	imagenet-zeroshot-val-top5: 0.3651	image_to_text_mean_rank: 53.2943	image_to_text_median_rank: 4.0000	image_to_text_R@1: 0.3194	image_to_text_R@5: 0.5721	image_to_text_R@10: 0.6703	text_to_image_mean_rank: 65.7794	text_to_image_median_rank: 3.0000	text_to_image_R@1: 0.3381	text_to_image_R@5: 0.5782	text_to_image_R@10: 0.6715	clip_val_loss: 2.1431	epoch: 6.0000	num_samples: 8678.0000
2025-01-24,08:37:48 | INFO | Start epoch 6
2025-01-24,08:37:58 | INFO | Train Epoch: 6 [   3980/9193800 (0%)] Step: 13.9K | Data (t): 8.356 Batch (t): 9.254, 430.080/s, 215.040/s/gpu Logit Scale: 39.780 | Logit Bias: -15.294  | Lambda Scalar: 0.000 | Total_loss: 0.70709 (0.70709) Joint_loss: -19.417 (-19.417) Cross_loss: 1.8615 (1.8615) Image_lambda_loss: 0.18691 (0.18691) Text_lambda_loss: 0.21992 (0.21992) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,08:39:59 | INFO | Train Epoch: 6 [ 401980/9193800 (4%)] Step: 14.0K | Data (t): 0.139 Batch (t): 1.210, 3347.93/s, 1673.96/s/gpu Logit Scale: 39.912 | Logit Bias: -15.297  | Lambda Scalar: 0.000 | Total_loss: 0.69650 (0.70179) Joint_loss: -18.919 (-19.168) Cross_loss: 2.0361 (1.9488) Image_lambda_loss: 0.21023 (0.19857) Text_lambda_loss: 0.21478 (0.21735) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,08:42:00 | INFO | Train Epoch: 6 [ 799980/9193800 (9%)] Step: 14.1K | Data (t): 0.199 Batch (t): 1.214, 3387.79/s, 1693.90/s/gpu Logit Scale: 40.043 | Logit Bias: -15.300  | Lambda Scalar: 0.000 | Total_loss: 0.71506 (0.70621) Joint_loss: -19.819 (-19.385) Cross_loss: 1.9606 (1.9528) Image_lambda_loss: 0.20392 (0.20035) Text_lambda_loss: 0.22000 (0.21823) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,08:44:01 | INFO | Train Epoch: 6 [1197980/9193800 (13%)] Step: 14.2K | Data (t): 0.199 Batch (t): 1.206, 3299.71/s, 1649.86/s/gpu Logit Scale: 40.175 | Logit Bias: -15.304  | Lambda Scalar: 0.000 | Total_loss: 0.70576 (0.70610) Joint_loss: -19.498 (-19.413) Cross_loss: 2.0069 (1.9663) Image_lambda_loss: 0.22369 (0.20619) Text_lambda_loss: 0.21700 (0.21793) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,08:46:04 | INFO | Train Epoch: 6 [1595980/9193800 (17%)] Step: 14.3K | Data (t): 0.204 Batch (t): 1.237, 2811.98/s, 1405.99/s/gpu Logit Scale: 40.307 | Logit Bias: -15.307  | Lambda Scalar: 0.000 | Total_loss: 0.71638 (0.70816) Joint_loss: -20.024 (-19.535) Cross_loss: 1.9978 (1.9726) Image_lambda_loss: 0.20276 (0.20550) Text_lambda_loss: 0.22101 (0.21854) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,08:48:07 | INFO | Train Epoch: 6 [1993980/9193800 (22%)] Step: 14.4K | Data (t): 0.204 Batch (t): 1.228, 3171.43/s, 1585.72/s/gpu Logit Scale: 40.441 | Logit Bias: -15.310  | Lambda Scalar: 0.000 | Total_loss: 0.70931 (0.70835) Joint_loss: -19.784 (-19.577) Cross_loss: 2.0508 (1.9856) Image_lambda_loss: 0.20825 (0.20596) Text_lambda_loss: 0.22710 (0.21997) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,08:50:09 | INFO | Train Epoch: 6 [2391980/9193800 (26%)] Step: 14.5K | Data (t): 0.206 Batch (t): 1.220, 3495.16/s, 1747.58/s/gpu Logit Scale: 40.575 | Logit Bias: -15.314  | Lambda Scalar: 0.000 | Total_loss: 0.71093 (0.70872) Joint_loss: -19.936 (-19.628) Cross_loss: 2.0587 (1.9961) Image_lambda_loss: 0.19926 (0.20500) Text_lambda_loss: 0.20926 (0.21844) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,08:52:10 | INFO | Train Epoch: 6 [2789980/9193800 (30%)] Step: 14.6K | Data (t): 0.216 Batch (t): 1.212, 3179.95/s, 1589.97/s/gpu Logit Scale: 40.709 | Logit Bias: -15.317  | Lambda Scalar: 0.000 | Total_loss: 0.71346 (0.70931) Joint_loss: -20.141 (-19.692) Cross_loss: 2.0509 (2.0029) Image_lambda_loss: 0.20763 (0.20533) Text_lambda_loss: 0.21593 (0.21812) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,08:54:11 | INFO | Train Epoch: 6 [3187980/9193800 (35%)] Step: 14.7K | Data (t): 0.213 Batch (t): 1.203, 3563.13/s, 1781.56/s/gpu Logit Scale: 40.844 | Logit Bias: -15.320  | Lambda Scalar: 0.000 | Total_loss: 0.72082 (0.71059) Joint_loss: -20.535 (-19.786) Cross_loss: 2.0494 (2.0081) Image_lambda_loss: 0.23876 (0.20905) Text_lambda_loss: 0.23562 (0.22007) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,08:56:12 | INFO | Train Epoch: 6 [3585980/9193800 (39%)] Step: 14.8K | Data (t): 0.203 Batch (t): 1.214, 3292.48/s, 1646.24/s/gpu Logit Scale: 40.979 | Logit Bias: -15.324  | Lambda Scalar: 0.000 | Total_loss: 0.71542 (0.71107) Joint_loss: -20.317 (-19.839) Cross_loss: 2.1462 (2.0219) Image_lambda_loss: 0.20834 (0.20897) Text_lambda_loss: 0.23520 (0.22158) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,08:58:16 | INFO | Train Epoch: 6 [3983980/9193800 (43%)] Step: 14.9K | Data (t): 0.217 Batch (t): 1.239, 3187.66/s, 1593.83/s/gpu Logit Scale: 41.114 | Logit Bias: -15.327  | Lambda Scalar: 0.000 | Total_loss: 0.72336 (0.71219) Joint_loss: -20.941 (-19.939) Cross_loss: 1.9425 (2.0147) Image_lambda_loss: 0.22392 (0.21033) Text_lambda_loss: 0.24767 (0.22395) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:00:21 | INFO | Train Epoch: 6 [4381980/9193800 (48%)] Step: 15.0K | Data (t): 0.240 Batch (t): 1.247, 3390.61/s, 1695.31/s/gpu Logit Scale: 41.250 | Logit Bias: -15.330  | Lambda Scalar: 0.000 | Total_loss: 0.71646 (0.71254) Joint_loss: -20.589 (-19.993) Cross_loss: 2.1107 (2.0227) Image_lambda_loss: 0.22728 (0.21175) Text_lambda_loss: 0.23907 (0.22521) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:02:25 | INFO | Train Epoch: 6 [4779980/9193800 (52%)] Step: 15.1K | Data (t): 0.235 Batch (t): 1.241, 3217.07/s, 1608.53/s/gpu Logit Scale: 41.387 | Logit Bias: -15.334  | Lambda Scalar: 0.000 | Total_loss: 0.71993 (0.71311) Joint_loss: -20.914 (-20.064) Cross_loss: 2.0261 (2.0229) Image_lambda_loss: 0.23453 (0.21350) Text_lambda_loss: 0.23678 (0.22610) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:04:32 | INFO | Train Epoch: 6 [5177980/9193800 (56%)] Step: 15.2K | Data (t): 0.271 Batch (t): 1.270, 3160.23/s, 1580.11/s/gpu Logit Scale: 41.524 | Logit Bias: -15.337  | Lambda Scalar: 0.000 | Total_loss: 0.72039 (0.71363) Joint_loss: -21.063 (-20.136) Cross_loss: 1.9945 (2.0209) Image_lambda_loss: 0.21085 (0.21331) Text_lambda_loss: 0.21326 (0.22519) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:06:38 | INFO | Train Epoch: 6 [5575980/9193800 (61%)] Step: 15.3K | Data (t): 0.261 Batch (t): 1.263, 3079.95/s, 1539.97/s/gpu Logit Scale: 41.661 | Logit Bias: -15.340  | Lambda Scalar: 0.000 | Total_loss: 0.71777 (0.71391) Joint_loss: -21.028 (-20.195) Cross_loss: 2.0207 (2.0209) Image_lambda_loss: 0.21561 (0.21346) Text_lambda_loss: 0.21970 (0.22482) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:08:44 | INFO | Train Epoch: 6 [5973980/9193800 (65%)] Step: 15.4K | Data (t): 0.264 Batch (t): 1.255, 3111.04/s, 1555.52/s/gpu Logit Scale: 41.799 | Logit Bias: -15.344  | Lambda Scalar: 0.000 | Total_loss: 0.72605 (0.71467) Joint_loss: -21.491 (-20.276) Cross_loss: 1.9985 (2.0195) Image_lambda_loss: 0.22608 (0.21425) Text_lambda_loss: 0.22171 (0.22463) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:10:50 | INFO | Train Epoch: 6 [6371980/9193800 (69%)] Step: 15.5K | Data (t): 0.260 Batch (t): 1.259, 2903.86/s, 1451.93/s/gpu Logit Scale: 41.937 | Logit Bias: -15.347  | Lambda Scalar: 0.000 | Total_loss: 0.72680 (0.71538) Joint_loss: -21.576 (-20.352) Cross_loss: 2.0444 (2.0210) Image_lambda_loss: 0.22627 (0.21496) Text_lambda_loss: 0.22948 (0.22491) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:12:56 | INFO | Train Epoch: 6 [6769980/9193800 (74%)] Step: 15.6K | Data (t): 0.266 Batch (t): 1.265, 3403.60/s, 1701.80/s/gpu Logit Scale: 42.076 | Logit Bias: -15.350  | Lambda Scalar: 0.000 | Total_loss: 0.72649 (0.71600) Joint_loss: -21.795 (-20.433) Cross_loss: 1.9138 (2.0150) Image_lambda_loss: 0.21082 (0.21473) Text_lambda_loss: 0.21828 (0.22454) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:15:01 | INFO | Train Epoch: 6 [7167980/9193800 (78%)] Step: 15.7K | Data (t): 0.266 Batch (t): 1.248, 3430.43/s, 1715.21/s/gpu Logit Scale: 42.215 | Logit Bias: -15.354  | Lambda Scalar: 0.000 | Total_loss: 0.72140 (0.71628) Joint_loss: -21.559 (-20.492) Cross_loss: 2.0383 (2.0162) Image_lambda_loss: 0.22486 (0.21526) Text_lambda_loss: 0.22460 (0.22455) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:17:06 | INFO | Train Epoch: 6 [7565980/9193800 (82%)] Step: 15.8K | Data (t): 0.238 Batch (t): 1.253, 3113.79/s, 1556.90/s/gpu Logit Scale: 42.355 | Logit Bias: -15.357  | Lambda Scalar: 0.000 | Total_loss: 0.72596 (0.71677) Joint_loss: -21.800 (-20.557) Cross_loss: 2.0894 (2.0199) Image_lambda_loss: 0.21807 (0.21540) Text_lambda_loss: 0.20733 (0.22368) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:19:11 | INFO | Train Epoch: 6 [7963980/9193800 (87%)] Step: 15.9K | Data (t): 0.265 Batch (t): 1.247, 3353.48/s, 1676.74/s/gpu Logit Scale: 42.495 | Logit Bias: -15.360  | Lambda Scalar: 0.000 | Total_loss: 0.72962 (0.71738) Joint_loss: -22.124 (-20.632) Cross_loss: 2.0208 (2.0199) Image_lambda_loss: 0.23020 (0.21611) Text_lambda_loss: 0.23762 (0.22435) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:21:11 | INFO | Train Epoch: 6 [8361980/9193800 (91%)] Step: 16.0K | Data (t): 0.187 Batch (t): 1.201, 3368.90/s, 1684.45/s/gpu Logit Scale: 42.637 | Logit Bias: -15.364  | Lambda Scalar: 0.000 | Total_loss: 0.72730 (0.71783) Joint_loss: -22.220 (-20.704) Cross_loss: 1.9312 (2.0159) Image_lambda_loss: 0.24669 (0.21750) Text_lambda_loss: 0.26275 (0.22609) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:23:17 | INFO | Train Epoch: 6 [8759980/9193800 (95%)] Step: 16.1K | Data (t): 0.262 Batch (t): 1.264, 3253.72/s, 1626.86/s/gpu Logit Scale: 42.777 | Logit Bias: -15.367  | Lambda Scalar: 0.000 | Total_loss: 0.72073 (0.71796) Joint_loss: -21.956 (-20.759) Cross_loss: 2.0184 (2.0160) Image_lambda_loss: 0.22702 (0.21791) Text_lambda_loss: 0.26291 (0.22769) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:25:24 | INFO | Train Epoch: 6 [9157980/9193800 (100%)] Step: 16.2K | Data (t): 0.265 Batch (t): 1.261, 3442.34/s, 1721.17/s/gpu Logit Scale: 42.919 | Logit Bias: -15.370  | Lambda Scalar: 0.000 | Total_loss: 0.72832 (0.71839) Joint_loss: -22.430 (-20.828) Cross_loss: 1.9682 (2.0140) Image_lambda_loss: 0.23679 (0.21870) Text_lambda_loss: 0.24736 (0.22851) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:25:35 | INFO | Train Epoch: 6 [9193800/9193800 (100%)] Step: 16.2K | Data (t): 0.269 Batch (t): 1.262, 2927.26/s, 1463.63/s/gpu Logit Scale: 42.931 | Logit Bias: -15.371  | Lambda Scalar: 0.000 | Total_loss: 0.72516 (0.71866) Joint_loss: -22.300 (-20.887) Cross_loss: 1.9735 (2.0124) Image_lambda_loss: 0.25221 (0.22004) Text_lambda_loss: 0.27731 (0.23047) | L_updates: 9 | z_beta: 0.24692662705396407, model_beta: 0.9992 | 
2025-01-24,09:25:35 | INFO | Starting zero-shot imagenet.
2025-01-24,09:25:35 | INFO | Building zero-shot classifier
2025-01-24,09:25:42 | INFO | Using classifier
2025-01-24,09:26:45 | INFO | Finished zero-shot imagenet.
2025-01-24,09:26:53 | INFO | Eval Epoch: 7 [1990 / 205824]	Clip Loss: 2.131972	
2025-01-24,09:27:25 | INFO | Eval Epoch: 7 imagenet-zeroshot-val-top1: 0.1692	imagenet-zeroshot-val-top5: 0.3804	image_to_text_mean_rank: 53.6808	image_to_text_median_rank: 3.0000	image_to_text_R@1: 0.3383	image_to_text_R@5: 0.5983	image_to_text_R@10: 0.6882	text_to_image_mean_rank: 63.4198	text_to_image_median_rank: 3.0000	text_to_image_R@1: 0.3531	text_to_image_R@5: 0.6015	text_to_image_R@10: 0.6974	clip_val_loss: 2.0296	epoch: 7.0000	num_samples: 8678.0000
2025-01-24,09:27:27 | INFO | Start epoch 7
2025-01-24,09:27:38 | INFO | Train Epoch: 7 [   3980/9193800 (0%)] Step: 16.2K | Data (t): 9.163 Batch (t): 10.049, 396.044/s, 198.022/s/gpu Logit Scale: 42.933 | Logit Bias: -15.371  | Lambda Scalar: 0.000 | Total_loss: 0.71338 (0.71338) Joint_loss: -21.717 (-21.717) Cross_loss: 2.0576 (2.0576) Image_lambda_loss: 0.25834 (0.25834) Text_lambda_loss: 0.28613 (0.28613) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:29:39 | INFO | Train Epoch: 7 [ 401980/9193800 (4%)] Step: 16.3K | Data (t): 0.181 Batch (t): 1.218, 3279.27/s, 1639.64/s/gpu Logit Scale: 43.074 | Logit Bias: -15.374  | Lambda Scalar: 0.000 | Total_loss: 0.71521 (0.71430) Joint_loss: -22.035 (-21.876) Cross_loss: 1.9193 (1.9885) Image_lambda_loss: 0.22980 (0.24407) Text_lambda_loss: 0.22956 (0.25785) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:31:44 | INFO | Train Epoch: 7 [ 799980/9193800 (9%)] Step: 16.4K | Data (t): 0.251 Batch (t): 1.246, 3267.19/s, 1633.59/s/gpu Logit Scale: 43.216 | Logit Bias: -15.377  | Lambda Scalar: 0.000 | Total_loss: 0.71786 (0.71549) Joint_loss: -22.222 (-21.991) Cross_loss: 1.9464 (1.9745) Image_lambda_loss: 0.26093 (0.24969) Text_lambda_loss: 0.29712 (0.27094) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:33:49 | INFO | Train Epoch: 7 [1197980/9193800 (13%)] Step: 16.5K | Data (t): 0.257 Batch (t): 1.256, 3105.20/s, 1552.60/s/gpu Logit Scale: 43.358 | Logit Bias: -15.381  | Lambda Scalar: 0.000 | Total_loss: 0.71607 (0.71563) Joint_loss: -22.240 (-22.053) Cross_loss: 1.9534 (1.9692) Image_lambda_loss: 0.27620 (0.25632) Text_lambda_loss: 0.26031 (0.26828) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:35:55 | INFO | Train Epoch: 7 [1595980/9193800 (17%)] Step: 16.6K | Data (t): 0.255 Batch (t): 1.253, 3368.64/s, 1684.32/s/gpu Logit Scale: 43.500 | Logit Bias: -15.384  | Lambda Scalar: 0.000 | Total_loss: 0.71955 (0.71641) Joint_loss: -22.441 (-22.131) Cross_loss: 2.0040 (1.9762) Image_lambda_loss: 0.28678 (0.26241) Text_lambda_loss: 0.27685 (0.26999) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:37:59 | INFO | Train Epoch: 7 [1993980/9193800 (22%)] Step: 16.7K | Data (t): 0.252 Batch (t): 1.245, 3372.51/s, 1686.25/s/gpu Logit Scale: 43.643 | Logit Bias: -15.387  | Lambda Scalar: 0.000 | Total_loss: 0.71632 (0.71640) Joint_loss: -22.373 (-22.171) Cross_loss: 2.0349 (1.9860) Image_lambda_loss: 0.25611 (0.26136) Text_lambda_loss: 0.28988 (0.27331) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:40:05 | INFO | Train Epoch: 7 [2391980/9193800 (26%)] Step: 16.8K | Data (t): 0.253 Batch (t): 1.255, 3030.45/s, 1515.23/s/gpu Logit Scale: 43.787 | Logit Bias: -15.391  | Lambda Scalar: 0.000 | Total_loss: 0.72026 (0.71695) Joint_loss: -22.598 (-22.232) Cross_loss: 2.0842 (2.0000) Image_lambda_loss: 0.29046 (0.26552) Text_lambda_loss: 0.29523 (0.27644) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:42:09 | INFO | Train Epoch: 7 [2789980/9193800 (30%)] Step: 16.9K | Data (t): 0.250 Batch (t): 1.238, 3308.23/s, 1654.11/s/gpu Logit Scale: 43.931 | Logit Bias: -15.394  | Lambda Scalar: 0.000 | Total_loss: 0.71305 (0.71646) Joint_loss: -22.459 (-22.261) Cross_loss: 2.0134 (2.0017) Image_lambda_loss: 0.25735 (0.26450) Text_lambda_loss: 0.28894 (0.27800) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:44:13 | INFO | Train Epoch: 7 [3187980/9193800 (35%)] Step: 17.0K | Data (t): 0.235 Batch (t): 1.243, 3184.29/s, 1592.14/s/gpu Logit Scale: 44.076 | Logit Bias: -15.397  | Lambda Scalar: 0.000 | Total_loss: 0.70805 (0.71553) Joint_loss: -22.221 (-22.256) Cross_loss: 2.1373 (2.0167) Image_lambda_loss: 0.30222 (0.26869) Text_lambda_loss: 0.34246 (0.28516) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:46:18 | INFO | Train Epoch: 7 [3585980/9193800 (39%)] Step: 17.1K | Data (t): 0.219 Batch (t): 1.248, 3159.91/s, 1579.95/s/gpu Logit Scale: 44.221 | Logit Bias: -15.401  | Lambda Scalar: 0.000 | Total_loss: 0.70816 (0.71479) Joint_loss: -22.342 (-22.265) Cross_loss: 2.1233 (2.0274) Image_lambda_loss: 0.26999 (0.26882) Text_lambda_loss: 0.28645 (0.28529) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:48:23 | INFO | Train Epoch: 7 [3983980/9193800 (43%)] Step: 17.2K | Data (t): 0.227 Batch (t): 1.248, 3227.82/s, 1613.91/s/gpu Logit Scale: 44.367 | Logit Bias: -15.404  | Lambda Scalar: 0.000 | Total_loss: 0.71115 (0.71446) Joint_loss: -22.689 (-22.303) Cross_loss: 2.0110 (2.0259) Image_lambda_loss: 0.27593 (0.26946) Text_lambda_loss: 0.26791 (0.28371) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:50:26 | INFO | Train Epoch: 7 [4381980/9193800 (48%)] Step: 17.3K | Data (t): 0.223 Batch (t): 1.234, 3092.45/s, 1546.23/s/gpu Logit Scale: 44.513 | Logit Bias: -15.407  | Lambda Scalar: 0.000 | Total_loss: 0.71072 (0.71415) Joint_loss: -22.854 (-22.349) Cross_loss: 1.9306 (2.0180) Image_lambda_loss: 0.26703 (0.26926) Text_lambda_loss: 0.30178 (0.28522) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:52:31 | INFO | Train Epoch: 7 [4779980/9193800 (52%)] Step: 17.4K | Data (t): 0.265 Batch (t): 1.252, 3077.24/s, 1538.62/s/gpu Logit Scale: 44.659 | Logit Bias: -15.411  | Lambda Scalar: 0.000 | Total_loss: 0.71090 (0.71390) Joint_loss: -22.891 (-22.391) Cross_loss: 2.0056 (2.0170) Image_lambda_loss: 0.25490 (0.26816) Text_lambda_loss: 0.28072 (0.28487) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:54:38 | INFO | Train Epoch: 7 [5177980/9193800 (56%)] Step: 17.5K | Data (t): 0.271 Batch (t): 1.263, 2984.71/s, 1492.35/s/gpu Logit Scale: 44.806 | Logit Bias: -15.414  | Lambda Scalar: 0.000 | Total_loss: 0.71443 (0.71394) Joint_loss: -23.204 (-22.449) Cross_loss: 1.9534 (2.0125) Image_lambda_loss: 0.28946 (0.26968) Text_lambda_loss: 0.27953 (0.28449) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:56:44 | INFO | Train Epoch: 7 [5575980/9193800 (61%)] Step: 17.6K | Data (t): 0.254 Batch (t): 1.266, 3166.52/s, 1583.26/s/gpu Logit Scale: 44.954 | Logit Bias: -15.417  | Lambda Scalar: 0.000 | Total_loss: 0.70530 (0.71336) Joint_loss: -22.674 (-22.464) Cross_loss: 2.1833 (2.0238) Image_lambda_loss: 0.26639 (0.26946) Text_lambda_loss: 0.30588 (0.28592) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,09:58:50 | INFO | Train Epoch: 7 [5973980/9193800 (65%)] Step: 17.7K | Data (t): 0.246 Batch (t): 1.262, 3396.21/s, 1698.10/s/gpu Logit Scale: 45.102 | Logit Bias: -15.421  | Lambda Scalar: 0.000 | Total_loss: 0.70337 (0.71274) Joint_loss: -22.731 (-22.481) Cross_loss: 2.1443 (2.0314) Image_lambda_loss: 0.26938 (0.26945) Text_lambda_loss: 0.27155 (0.28502) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,10:00:58 | INFO | Train Epoch: 7 [6371980/9193800 (69%)] Step: 17.8K | Data (t): 0.276 Batch (t): 1.274, 3127.92/s, 1563.96/s/gpu Logit Scale: 45.250 | Logit Bias: -15.424  | Lambda Scalar: 0.000 | Total_loss: 0.71483 (0.71286) Joint_loss: -23.519 (-22.542) Cross_loss: 1.9737 (2.0280) Image_lambda_loss: 0.26113 (0.26896) Text_lambda_loss: 0.28385 (0.28495) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,10:03:03 | INFO | Train Epoch: 7 [6769980/9193800 (74%)] Step: 17.9K | Data (t): 0.258 Batch (t): 1.251, 3287.80/s, 1643.90/s/gpu Logit Scale: 45.399 | Logit Bias: -15.427  | Lambda Scalar: 0.000 | Total_loss: 0.70344 (0.71234) Joint_loss: -22.965 (-22.565) Cross_loss: 2.1231 (2.0333) Image_lambda_loss: 0.27630 (0.26937) Text_lambda_loss: 0.28461 (0.28493) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,10:05:09 | INFO | Train Epoch: 7 [7167980/9193800 (78%)] Step: 18.0K | Data (t): 0.257 Batch (t): 1.261, 3216.19/s, 1608.09/s/gpu Logit Scale: 45.548 | Logit Bias: -15.431  | Lambda Scalar: 0.000 | Total_loss: 0.71634 (0.71255) Joint_loss: -23.904 (-22.636) Cross_loss: 1.8699 (2.0247) Image_lambda_loss: 0.26849 (0.26933) Text_lambda_loss: 0.27788 (0.28456) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,10:07:14 | INFO | Train Epoch: 7 [7565980/9193800 (82%)] Step: 18.1K | Data (t): 0.258 Batch (t): 1.254, 3179.53/s, 1589.77/s/gpu Logit Scale: 45.695 | Logit Bias: -15.434  | Lambda Scalar: 0.000 | Total_loss: 0.70055 (0.71195) Joint_loss: -23.012 (-22.655) Cross_loss: 2.1529 (2.0311) Image_lambda_loss: 0.29547 (0.27063) Text_lambda_loss: 0.32921 (0.28679) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,10:09:20 | INFO | Train Epoch: 7 [7963980/9193800 (87%)] Step: 18.2K | Data (t): 0.253 Batch (t): 1.254, 3149.21/s, 1574.61/s/gpu Logit Scale: 45.844 | Logit Bias: -15.437  | Lambda Scalar: 0.000 | Total_loss: 0.71285 (0.71199) Joint_loss: -23.877 (-22.713) Cross_loss: 1.9510 (2.0273) Image_lambda_loss: 0.29706 (0.27189) Text_lambda_loss: 0.30131 (0.28748) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,10:11:42 | INFO | Train Epoch: 7 [8361980/9193800 (91%)] Step: 18.3K | Data (t): 0.248 Batch (t): 1.422, 3067.61/s, 1533.80/s/gpu Logit Scale: 45.997 | Logit Bias: -15.441  | Lambda Scalar: 0.000 | Total_loss: 0.69966 (0.71143) Joint_loss: -23.302 (-22.740) Cross_loss: 2.0343 (2.0276) Image_lambda_loss: 0.29602 (0.27299) Text_lambda_loss: 0.31934 (0.28893) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,10:13:50 | INFO | Train Epoch: 7 [8759980/9193800 (95%)] Step: 18.4K | Data (t): 0.259 Batch (t): 1.283, 3005.74/s, 1502.87/s/gpu Logit Scale: 46.148 | Logit Bias: -15.444  | Lambda Scalar: 0.000 | Total_loss: 0.70116 (0.71098) Joint_loss: -23.522 (-22.774) Cross_loss: 1.9888 (2.0259) Image_lambda_loss: 0.30602 (0.27442) Text_lambda_loss: 0.32453 (0.29048) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,10:15:54 | INFO | Train Epoch: 7 [9157980/9193800 (100%)] Step: 18.5K | Data (t): 0.261 Batch (t): 1.236, 3179.15/s, 1589.57/s/gpu Logit Scale: 46.299 | Logit Bias: -15.447  | Lambda Scalar: 0.000 | Total_loss: 0.69715 (0.71041) Joint_loss: -23.373 (-22.799) Cross_loss: 2.0600 (2.0273) Image_lambda_loss: 0.29841 (0.27542) Text_lambda_loss: 0.31033 (0.29131) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,10:16:05 | INFO | Train Epoch: 7 [9193800/9193800 (100%)] Step: 18.5K | Data (t): 0.235 Batch (t): 1.198, 3203.62/s, 1601.81/s/gpu Logit Scale: 46.313 | Logit Bias: -15.448  | Lambda Scalar: 0.000 | Total_loss: 0.69795 (0.70991) Joint_loss: -23.490 (-22.826) Cross_loss: 1.9887 (2.0258) Image_lambda_loss: 0.31106 (0.27685) Text_lambda_loss: 0.33463 (0.29304) | L_updates: 9 | z_beta: 0.32196387119354863, model_beta: 0.9992 | 
2025-01-24,10:16:05 | INFO | Starting zero-shot imagenet.
2025-01-24,10:16:05 | INFO | Building zero-shot classifier
2025-01-24,10:16:12 | INFO | Using classifier
2025-01-24,10:17:17 | INFO | Finished zero-shot imagenet.
2025-01-24,10:17:26 | INFO | Eval Epoch: 8 [1990 / 205824]	Clip Loss: 2.036988	
2025-01-24,10:18:00 | INFO | Eval Epoch: 8 imagenet-zeroshot-val-top1: 0.1768	imagenet-zeroshot-val-top5: 0.3877	image_to_text_mean_rank: 48.5847	image_to_text_median_rank: 3.0000	image_to_text_R@1: 0.3570	image_to_text_R@5: 0.6174	image_to_text_R@10: 0.7053	text_to_image_mean_rank: 59.1657	text_to_image_median_rank: 3.0000	text_to_image_R@1: 0.3737	text_to_image_R@5: 0.6172	text_to_image_R@10: 0.7123	clip_val_loss: 1.9382	epoch: 8.0000	num_samples: 8678.0000
2025-01-24,10:18:02 | INFO | Start epoch 8
2025-01-24,10:18:12 | INFO | Train Epoch: 8 [   3980/9193800 (0%)] Step: 18.5K | Data (t): 9.062 Batch (t): 9.963, 399.493/s, 199.747/s/gpu Logit Scale: 46.315 | Logit Bias: -15.448  | Lambda Scalar: 0.000 | Total_loss: 0.67931 (0.67931) Joint_loss: -22.454 (-22.454) Cross_loss: 2.1718 (2.1718) Image_lambda_loss: 0.31771 (0.31771) Text_lambda_loss: 0.33173 (0.33173) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:20:21 | INFO | Train Epoch: 8 [ 401980/9193800 (4%)] Step: 18.6K | Data (t): 0.181 Batch (t): 1.287, 3339.29/s, 1669.65/s/gpu Logit Scale: 46.465 | Logit Bias: -15.451  | Lambda Scalar: 0.000 | Total_loss: 0.68526 (0.68229) Joint_loss: -22.924 (-22.689) Cross_loss: 2.0781 (2.1250) Image_lambda_loss: 0.30622 (0.31196) Text_lambda_loss: 0.31693 (0.32433) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:22:27 | INFO | Train Epoch: 8 [ 799980/9193800 (9%)] Step: 18.7K | Data (t): 0.269 Batch (t): 1.262, 2909.89/s, 1454.94/s/gpu Logit Scale: 46.617 | Logit Bias: -15.454  | Lambda Scalar: 0.000 | Total_loss: 0.67634 (0.68031) Joint_loss: -22.501 (-22.626) Cross_loss: 2.1929 (2.1476) Image_lambda_loss: 0.33427 (0.31940) Text_lambda_loss: 0.33424 (0.32763) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:24:33 | INFO | Train Epoch: 8 [1197980/9193800 (13%)] Step: 18.8K | Data (t): 0.260 Batch (t): 1.263, 2947.96/s, 1473.98/s/gpu Logit Scale: 46.769 | Logit Bias: -15.458  | Lambda Scalar: 0.000 | Total_loss: 0.67999 (0.68023) Joint_loss: -22.732 (-22.653) Cross_loss: 2.2342 (2.1693) Image_lambda_loss: 0.33668 (0.32372) Text_lambda_loss: 0.33348 (0.32909) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:26:38 | INFO | Train Epoch: 8 [1595980/9193800 (17%)] Step: 18.9K | Data (t): 0.261 Batch (t): 1.254, 3582.50/s, 1791.25/s/gpu Logit Scale: 46.919 | Logit Bias: -15.461  | Lambda Scalar: 0.000 | Total_loss: 0.69083 (0.68235) Joint_loss: -23.577 (-22.838) Cross_loss: 1.9942 (2.1343) Image_lambda_loss: 0.29997 (0.31897) Text_lambda_loss: 0.33309 (0.32989) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:28:44 | INFO | Train Epoch: 8 [1993980/9193800 (22%)] Step: 19.0K | Data (t): 0.253 Batch (t): 1.254, 3213.13/s, 1606.56/s/gpu Logit Scale: 47.072 | Logit Bias: -15.464  | Lambda Scalar: 0.000 | Total_loss: 0.69583 (0.68460) Joint_loss: -24.033 (-23.037) Cross_loss: 1.8771 (2.0914) Image_lambda_loss: 0.31136 (0.31770) Text_lambda_loss: 0.33205 (0.33025) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:30:48 | INFO | Train Epoch: 8 [2391980/9193800 (26%)] Step: 19.1K | Data (t): 0.226 Batch (t): 1.242, 2904.62/s, 1452.31/s/gpu Logit Scale: 47.225 | Logit Bias: -15.468  | Lambda Scalar: 0.000 | Total_loss: 0.69226 (0.68569) Joint_loss: -24.005 (-23.175) Cross_loss: 1.8453 (2.0562) Image_lambda_loss: 0.32729 (0.31907) Text_lambda_loss: 0.35044 (0.33314) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:32:52 | INFO | Train Epoch: 8 [2789980/9193800 (30%)] Step: 19.2K | Data (t): 0.241 Batch (t): 1.241, 3460.76/s, 1730.38/s/gpu Logit Scale: 47.380 | Logit Bias: -15.471  | Lambda Scalar: 0.000 | Total_loss: 0.68567 (0.68569) Joint_loss: -23.528 (-23.219) Cross_loss: 2.1205 (2.0643) Image_lambda_loss: 0.30808 (0.31770) Text_lambda_loss: 0.33739 (0.33367) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:34:58 | INFO | Train Epoch: 8 [3187980/9193800 (35%)] Step: 19.3K | Data (t): 0.261 Batch (t): 1.256, 3227.92/s, 1613.96/s/gpu Logit Scale: 47.536 | Logit Bias: -15.474  | Lambda Scalar: 0.000 | Total_loss: 0.68807 (0.68595) Joint_loss: -23.857 (-23.290) Cross_loss: 2.0112 (2.0584) Image_lambda_loss: 0.29292 (0.31494) Text_lambda_loss: 0.30565 (0.33056) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:37:02 | INFO | Train Epoch: 8 [3585980/9193800 (39%)] Step: 19.4K | Data (t): 0.249 Batch (t): 1.247, 2882.32/s, 1441.16/s/gpu Logit Scale: 47.691 | Logit Bias: -15.478  | Lambda Scalar: 0.000 | Total_loss: 0.68678 (0.68604) Joint_loss: -23.964 (-23.357) Cross_loss: 1.9496 (2.0475) Image_lambda_loss: 0.30992 (0.31444) Text_lambda_loss: 0.32263 (0.32976) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:39:06 | INFO | Train Epoch: 8 [3983980/9193800 (43%)] Step: 19.5K | Data (t): 0.232 Batch (t): 1.237, 3165.10/s, 1582.55/s/gpu Logit Scale: 47.848 | Logit Bias: -15.481  | Lambda Scalar: 0.000 | Total_loss: 0.68668 (0.68610) Joint_loss: -24.032 (-23.419) Cross_loss: 1.9843 (2.0418) Image_lambda_loss: 0.29304 (0.31250) Text_lambda_loss: 0.28834 (0.32600) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:41:12 | INFO | Train Epoch: 8 [4381980/9193800 (48%)] Step: 19.6K | Data (t): 0.260 Batch (t): 1.262, 3219.37/s, 1609.68/s/gpu Logit Scale: 48.005 | Logit Bias: -15.484  | Lambda Scalar: 0.000 | Total_loss: 0.68256 (0.68580) Joint_loss: -23.838 (-23.454) Cross_loss: 2.0905 (2.0458) Image_lambda_loss: 0.32175 (0.31327) Text_lambda_loss: 0.32472 (0.32589) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:43:20 | INFO | Train Epoch: 8 [4779980/9193800 (52%)] Step: 19.7K | Data (t): 0.257 Batch (t): 1.275, 2766.55/s, 1383.27/s/gpu Logit Scale: 48.163 | Logit Bias: -15.488  | Lambda Scalar: 0.000 | Total_loss: 0.68516 (0.68575) Joint_loss: -24.233 (-23.514) Cross_loss: 1.9274 (2.0367) Image_lambda_loss: 0.28906 (0.31140) Text_lambda_loss: 0.32094 (0.32551) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:45:26 | INFO | Train Epoch: 8 [5177980/9193800 (56%)] Step: 19.8K | Data (t): 0.263 Batch (t): 1.262, 3244.05/s, 1622.03/s/gpu Logit Scale: 48.321 | Logit Bias: -15.491  | Lambda Scalar: 0.000 | Total_loss: 0.68153 (0.68545) Joint_loss: -23.971 (-23.546) Cross_loss: 2.1240 (2.0429) Image_lambda_loss: 0.29826 (0.31047) Text_lambda_loss: 0.32130 (0.32521) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:47:33 | INFO | Train Epoch: 8 [5575980/9193800 (61%)] Step: 19.9K | Data (t): 0.273 Batch (t): 1.276, 3401.86/s, 1700.93/s/gpu Logit Scale: 48.480 | Logit Bias: -15.494  | Lambda Scalar: 0.000 | Total_loss: 0.68271 (0.68527) Joint_loss: -24.239 (-23.592) Cross_loss: 2.0201 (2.0414) Image_lambda_loss: 0.30072 (0.30982) Text_lambda_loss: 0.32144 (0.32496) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:49:40 | INFO | Train Epoch: 8 [5973980/9193800 (65%)] Step: 20.0K | Data (t): 0.264 Batch (t): 1.262, 3139.42/s, 1569.71/s/gpu Logit Scale: 48.639 | Logit Bias: -15.498  | Lambda Scalar: 0.000 | Total_loss: 0.68729 (0.68539) Joint_loss: -24.652 (-23.659) Cross_loss: 1.9372 (2.0349) Image_lambda_loss: 0.31489 (0.31013) Text_lambda_loss: 0.34602 (0.32627) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:51:47 | INFO | Train Epoch: 8 [6371980/9193800 (69%)] Step: 20.1K | Data (t): 0.255 Batch (t): 1.272, 3174.78/s, 1587.39/s/gpu Logit Scale: 48.797 | Logit Bias: -15.501  | Lambda Scalar: 0.000 | Total_loss: 0.67904 (0.68502) Joint_loss: -24.230 (-23.692) Cross_loss: 2.0689 (2.0369) Image_lambda_loss: 0.33001 (0.31130) Text_lambda_loss: 0.33622 (0.32686) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:53:52 | INFO | Train Epoch: 8 [6769980/9193800 (74%)] Step: 20.2K | Data (t): 0.262 Batch (t): 1.256, 3254.10/s, 1627.05/s/gpu Logit Scale: 48.957 | Logit Bias: -15.505  | Lambda Scalar: 0.000 | Total_loss: 0.67750 (0.68460) Joint_loss: -24.266 (-23.724) Cross_loss: 2.0677 (2.0386) Image_lambda_loss: 0.29733 (0.31053) Text_lambda_loss: 0.29519 (0.32510) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:55:59 | INFO | Train Epoch: 8 [7167980/9193800 (78%)] Step: 20.3K | Data (t): 0.265 Batch (t): 1.270, 3301.02/s, 1650.51/s/gpu Logit Scale: 49.118 | Logit Bias: -15.508  | Lambda Scalar: 0.000 | Total_loss: 0.68104 (0.68441) Joint_loss: -24.668 (-23.774) Cross_loss: 1.9454 (2.0337) Image_lambda_loss: 0.28750 (0.30931) Text_lambda_loss: 0.29823 (0.32369) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,10:58:05 | INFO | Train Epoch: 8 [7565980/9193800 (82%)] Step: 20.4K | Data (t): 0.267 Batch (t): 1.252, 3005.03/s, 1502.51/s/gpu Logit Scale: 49.278 | Logit Bias: -15.511  | Lambda Scalar: 0.000 | Total_loss: 0.68220 (0.68430) Joint_loss: -24.904 (-23.830) Cross_loss: 1.8760 (2.0258) Image_lambda_loss: 0.30012 (0.30885) Text_lambda_loss: 0.33299 (0.32415) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,11:00:10 | INFO | Train Epoch: 8 [7963980/9193800 (87%)] Step: 20.5K | Data (t): 0.273 Batch (t): 1.253, 3120.72/s, 1560.36/s/gpu Logit Scale: 49.439 | Logit Bias: -15.515  | Lambda Scalar: 0.000 | Total_loss: 0.68078 (0.68414) Joint_loss: -24.819 (-23.877) Cross_loss: 2.0007 (2.0246) Image_lambda_loss: 0.31046 (0.30893) Text_lambda_loss: 0.33348 (0.32460) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,11:02:06 | INFO | Train Epoch: 8 [8361980/9193800 (91%)] Step: 20.6K | Data (t): 0.125 Batch (t): 1.163, 3444.55/s, 1722.27/s/gpu Logit Scale: 49.601 | Logit Bias: -15.518  | Lambda Scalar: 0.000 | Total_loss: 0.66539 (0.68328) Joint_loss: -24.139 (-23.889) Cross_loss: 2.0354 (2.0251) Image_lambda_loss: 0.32024 (0.30944) Text_lambda_loss: 0.33205 (0.32493) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,11:04:06 | INFO | Train Epoch: 8 [8759980/9193800 (95%)] Step: 20.7K | Data (t): 0.178 Batch (t): 1.194, 2888.25/s, 1444.12/s/gpu Logit Scale: 49.763 | Logit Bias: -15.521  | Lambda Scalar: 0.000 | Total_loss: 0.66624 (0.68254) Joint_loss: -24.112 (-23.899) Cross_loss: 2.2127 (2.0333) Image_lambda_loss: 0.33291 (0.31046) Text_lambda_loss: 0.33992 (0.32559) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,11:06:11 | INFO | Train Epoch: 8 [9157980/9193800 (100%)] Step: 20.8K | Data (t): 0.233 Batch (t): 1.253, 3068.45/s, 1534.23/s/gpu Logit Scale: 49.925 | Logit Bias: -15.525  | Lambda Scalar: 0.000 | Total_loss: 0.66539 (0.68183) Joint_loss: -24.202 (-23.912) Cross_loss: 2.1881 (2.0397) Image_lambda_loss: 0.36061 (0.31255) Text_lambda_loss: 0.38908 (0.32823) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,11:06:22 | INFO | Train Epoch: 8 [9193800/9193800 (100%)] Step: 20.8K | Data (t): 0.236 Batch (t): 1.238, 3292.60/s, 1646.30/s/gpu Logit Scale: 49.940 | Logit Bias: -15.525  | Lambda Scalar: 0.000 | Total_loss: 0.66601 (0.68119) Joint_loss: -24.627 (-23.940) Cross_loss: 1.8037 (2.0303) Image_lambda_loss: 0.35613 (0.31430) Text_lambda_loss: 0.36886 (0.32986) | L_updates: 9 | z_beta: 0.4, model_beta: 0.9992 | 
2025-01-24,11:06:22 | INFO | Starting zero-shot imagenet.
2025-01-24,11:06:22 | INFO | Building zero-shot classifier
2025-01-24,11:06:29 | INFO | Using classifier
2025-01-24,11:07:32 | INFO | Finished zero-shot imagenet.
2025-01-24,11:07:40 | INFO | Eval Epoch: 9 [1990 / 205824]	Clip Loss: 1.981499	
2025-01-24,11:08:11 | INFO | Eval Epoch: 9 imagenet-zeroshot-val-top1: 0.1834	imagenet-zeroshot-val-top5: 0.3984	image_to_text_mean_rank: 43.9155	image_to_text_median_rank: 3.0000	image_to_text_R@1: 0.3634	image_to_text_R@5: 0.6304	image_to_text_R@10: 0.7173	text_to_image_mean_rank: 55.4971	text_to_image_median_rank: 3.0000	text_to_image_R@1: 0.3772	text_to_image_R@5: 0.6301	text_to_image_R@10: 0.7222	clip_val_loss: 1.8723	epoch: 9.0000	num_samples: 8678.0000
2025-01-24,11:08:14 | INFO | Start epoch 9
2025-01-24,11:08:24 | INFO | Train Epoch: 9 [   3980/9193800 (0%)] Step: 20.8K | Data (t): 9.015 Batch (t): 9.947, 400.117/s, 200.059/s/gpu Logit Scale: 49.942 | Logit Bias: -15.525  | Lambda Scalar: 0.000 | Total_loss: 0.65178 (0.65178) Joint_loss: -23.557 (-23.557) Cross_loss: 2.1717 (2.1717) Image_lambda_loss: 0.35752 (0.35752) Text_lambda_loss: 0.35492 (0.35492) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:10:29 | INFO | Train Epoch: 9 [ 401980/9193800 (4%)] Step: 20.9K | Data (t): 0.219 Batch (t): 1.253, 2968.58/s, 1484.29/s/gpu Logit Scale: 50.102 | Logit Bias: -15.528  | Lambda Scalar: 0.000 | Total_loss: 0.66198 (0.65688) Joint_loss: -24.597 (-24.077) Cross_loss: 1.7413 (1.9565) Image_lambda_loss: 0.34610 (0.35181) Text_lambda_loss: 0.34774 (0.35133) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:12:37 | INFO | Train Epoch: 9 [ 799980/9193800 (9%)] Step: 21.0K | Data (t): 0.284 Batch (t): 1.277, 3218.63/s, 1609.31/s/gpu Logit Scale: 50.263 | Logit Bias: -15.532  | Lambda Scalar: 0.000 | Total_loss: 0.65963 (0.65779) Joint_loss: -24.235 (-24.130) Cross_loss: 2.0938 (2.0023) Image_lambda_loss: 0.33638 (0.34667) Text_lambda_loss: 0.34863 (0.35043) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:14:43 | INFO | Train Epoch: 9 [1197980/9193800 (13%)] Step: 21.1K | Data (t): 0.269 Batch (t): 1.265, 3119.96/s, 1559.98/s/gpu Logit Scale: 50.426 | Logit Bias: -15.535  | Lambda Scalar: 0.000 | Total_loss: 0.66219 (0.65889) Joint_loss: -24.475 (-24.216) Cross_loss: 2.0889 (2.0239) Image_lambda_loss: 0.33778 (0.34445) Text_lambda_loss: 0.39523 (0.36163) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:16:49 | INFO | Train Epoch: 9 [1595980/9193800 (17%)] Step: 21.2K | Data (t): 0.261 Batch (t): 1.262, 3018.91/s, 1509.45/s/gpu Logit Scale: 50.590 | Logit Bias: -15.538  | Lambda Scalar: 0.000 | Total_loss: 0.66039 (0.65919) Joint_loss: -24.605 (-24.294) Cross_loss: 1.9768 (2.0145) Image_lambda_loss: 0.32889 (0.34133) Text_lambda_loss: 0.33946 (0.35720) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:18:54 | INFO | Train Epoch: 9 [1993980/9193800 (22%)] Step: 21.3K | Data (t): 0.247 Batch (t): 1.249, 2872.71/s, 1436.36/s/gpu Logit Scale: 50.753 | Logit Bias: -15.542  | Lambda Scalar: 0.000 | Total_loss: 0.65964 (0.65927) Joint_loss: -24.606 (-24.346) Cross_loss: 2.0460 (2.0198) Image_lambda_loss: 0.34908 (0.34263) Text_lambda_loss: 0.37896 (0.36082) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:20:59 | INFO | Train Epoch: 9 [2391980/9193800 (26%)] Step: 21.4K | Data (t): 0.250 Batch (t): 1.246, 3058.19/s, 1529.10/s/gpu Logit Scale: 50.918 | Logit Bias: -15.545  | Lambda Scalar: 0.000 | Total_loss: 0.65930 (0.65927) Joint_loss: -24.733 (-24.401) Cross_loss: 2.0112 (2.0185) Image_lambda_loss: 0.32322 (0.33985) Text_lambda_loss: 0.33975 (0.35781) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:23:03 | INFO | Train Epoch: 9 [2789980/9193800 (30%)] Step: 21.5K | Data (t): 0.246 Batch (t): 1.244, 3224.85/s, 1612.42/s/gpu Logit Scale: 51.083 | Logit Bias: -15.548  | Lambda Scalar: 0.000 | Total_loss: 0.65818 (0.65913) Joint_loss: -24.747 (-24.444) Cross_loss: 2.0485 (2.0223) Image_lambda_loss: 0.36610 (0.34313) Text_lambda_loss: 0.35680 (0.35769) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:25:07 | INFO | Train Epoch: 9 [3187980/9193800 (35%)] Step: 21.6K | Data (t): 0.235 Batch (t): 1.239, 3275.98/s, 1637.99/s/gpu Logit Scale: 51.249 | Logit Bias: -15.552  | Lambda Scalar: 0.000 | Total_loss: 0.66193 (0.65944) Joint_loss: -25.265 (-24.535) Cross_loss: 1.8307 (2.0010) Image_lambda_loss: 0.34117 (0.34291) Text_lambda_loss: 0.34202 (0.35595) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:27:11 | INFO | Train Epoch: 9 [3585980/9193800 (39%)] Step: 21.7K | Data (t): 0.248 Batch (t): 1.243, 3189.49/s, 1594.75/s/gpu Logit Scale: 51.416 | Logit Bias: -15.555  | Lambda Scalar: 0.000 | Total_loss: 0.66107 (0.65961) Joint_loss: -25.314 (-24.613) Cross_loss: 1.8478 (1.9857) Image_lambda_loss: 0.32655 (0.34128) Text_lambda_loss: 0.33576 (0.35393) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:29:15 | INFO | Train Epoch: 9 [3983980/9193800 (43%)] Step: 21.8K | Data (t): 0.216 Batch (t): 1.239, 3072.75/s, 1536.37/s/gpu Logit Scale: 51.583 | Logit Bias: -15.558  | Lambda Scalar: 0.000 | Total_loss: 0.65827 (0.65949) Joint_loss: -25.060 (-24.654) Cross_loss: 2.0697 (1.9933) Image_lambda_loss: 0.35019 (0.34209) Text_lambda_loss: 0.38351 (0.35662) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:31:20 | INFO | Train Epoch: 9 [4381980/9193800 (48%)] Step: 21.9K | Data (t): 0.249 Batch (t): 1.246, 3418.01/s, 1709.00/s/gpu Logit Scale: 51.751 | Logit Bias: -15.562  | Lambda Scalar: 0.000 | Total_loss: 0.65372 (0.65901) Joint_loss: -24.880 (-24.673) Cross_loss: 2.1268 (2.0044) Image_lambda_loss: 0.30812 (0.33926) Text_lambda_loss: 0.33902 (0.35515) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:33:28 | INFO | Train Epoch: 9 [4779980/9193800 (52%)] Step: 22.0K | Data (t): 0.233 Batch (t): 1.276, 3482.61/s, 1741.31/s/gpu Logit Scale: 51.919 | Logit Bias: -15.565  | Lambda Scalar: 0.000 | Total_loss: 0.65679 (0.65884) Joint_loss: -25.483 (-24.735) Cross_loss: 1.7920 (1.9881) Image_lambda_loss: 0.32770 (0.33837) Text_lambda_loss: 0.33937 (0.35394) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:35:42 | INFO | Train Epoch: 9 [5177980/9193800 (56%)] Step: 22.1K | Data (t): 0.243 Batch (t): 1.340, 1624.41/s, 812.203/s/gpu Logit Scale: 52.086 | Logit Bias: -15.568  | Lambda Scalar: 0.000 | Total_loss: 0.65626 (0.65865) Joint_loss: -25.416 (-24.784) Cross_loss: 1.9410 (1.9847) Image_lambda_loss: 0.29761 (0.33546) Text_lambda_loss: 0.32006 (0.35152) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:37:52 | INFO | Train Epoch: 9 [5575980/9193800 (61%)] Step: 22.2K | Data (t): 0.248 Batch (t): 1.307, 3359.47/s, 1679.73/s/gpu Logit Scale: 52.256 | Logit Bias: -15.572  | Lambda Scalar: 0.000 | Total_loss: 0.65443 (0.65837) Joint_loss: -25.563 (-24.836) Cross_loss: 1.8111 (1.9731) Image_lambda_loss: 0.35202 (0.33656) Text_lambda_loss: 0.34781 (0.35127) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:39:57 | INFO | Train Epoch: 9 [5973980/9193800 (65%)] Step: 22.3K | Data (t): 0.250 Batch (t): 1.247, 3164.70/s, 1582.35/s/gpu Logit Scale: 52.426 | Logit Bias: -15.575  | Lambda Scalar: 0.000 | Total_loss: 0.64873 (0.65777) Joint_loss: -25.076 (-24.851) Cross_loss: 2.1128 (1.9819) Image_lambda_loss: 0.32110 (0.33559) Text_lambda_loss: 0.35974 (0.35180) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:42:01 | INFO | Train Epoch: 9 [6371980/9193800 (69%)] Step: 22.4K | Data (t): 0.257 Batch (t): 1.246, 3028.56/s, 1514.28/s/gpu Logit Scale: 52.596 | Logit Bias: -15.578  | Lambda Scalar: 0.000 | Total_loss: 0.64490 (0.65701) Joint_loss: -24.941 (-24.856) Cross_loss: 2.1580 (1.9922) Image_lambda_loss: 0.32490 (0.33497) Text_lambda_loss: 0.34789 (0.35157) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:44:06 | INFO | Train Epoch: 9 [6769980/9193800 (74%)] Step: 22.5K | Data (t): 0.250 Batch (t): 1.248, 3490.60/s, 1745.30/s/gpu Logit Scale: 52.768 | Logit Bias: -15.582  | Lambda Scalar: 0.000 | Total_loss: 0.64765 (0.65649) Joint_loss: -25.280 (-24.880) Cross_loss: 2.0740 (1.9968) Image_lambda_loss: 0.30798 (0.33347) Text_lambda_loss: 0.30742 (0.34912) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:46:10 | INFO | Train Epoch: 9 [7167980/9193800 (78%)] Step: 22.6K | Data (t): 0.240 Batch (t): 1.237, 2948.37/s, 1474.18/s/gpu Logit Scale: 52.941 | Logit Bias: -15.585  | Lambda Scalar: 0.000 | Total_loss: 0.64213 (0.65573) Joint_loss: -25.043 (-24.888) Cross_loss: 2.1337 (2.0040) Image_lambda_loss: 0.34431 (0.33404) Text_lambda_loss: 0.33352 (0.34830) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:48:14 | INFO | Train Epoch: 9 [7565980/9193800 (82%)] Step: 22.7K | Data (t): 0.226 Batch (t): 1.238, 3022.36/s, 1511.18/s/gpu Logit Scale: 53.113 | Logit Bias: -15.588  | Lambda Scalar: 0.000 | Total_loss: 0.64728 (0.65531) Joint_loss: -25.679 (-24.928) Cross_loss: 1.8791 (1.9977) Image_lambda_loss: 0.34487 (0.33458) Text_lambda_loss: 0.32840 (0.34730) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:50:19 | INFO | Train Epoch: 9 [7963980/9193800 (87%)] Step: 22.8K | Data (t): 0.261 Batch (t): 1.254, 3422.92/s, 1711.46/s/gpu Logit Scale: 53.285 | Logit Bias: -15.592  | Lambda Scalar: 0.000 | Total_loss: 0.63688 (0.65443) Joint_loss: -25.022 (-24.932) Cross_loss: 2.0983 (2.0025) Image_lambda_loss: 0.30307 (0.33308) Text_lambda_loss: 0.31757 (0.34588) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:52:24 | INFO | Train Epoch: 9 [8361980/9193800 (91%)] Step: 22.9K | Data (t): 0.229 Batch (t): 1.246, 3169.71/s, 1584.86/s/gpu Logit Scale: 53.459 | Logit Bias: -15.595  | Lambda Scalar: 0.000 | Total_loss: 0.63627 (0.65361) Joint_loss: -25.555 (-24.961) Cross_loss: 1.6448 (1.9863) Image_lambda_loss: 0.46486 (0.33907) Text_lambda_loss: 0.39627 (0.34818) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:54:28 | INFO | Train Epoch: 9 [8759980/9193800 (95%)] Step: 23.0K | Data (t): 0.261 Batch (t): 1.242, 3289.93/s, 1644.96/s/gpu Logit Scale: 53.631 | Logit Bias: -15.598  | Lambda Scalar: 0.000 | Total_loss: 0.63382 (0.65275) Joint_loss: -25.310 (-24.976) Cross_loss: 1.8685 (1.9811) Image_lambda_loss: 0.36327 (0.34012) Text_lambda_loss: 0.36864 (0.34906) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:56:32 | INFO | Train Epoch: 9 [9157980/9193800 (100%)] Step: 23.1K | Data (t): 0.271 Batch (t): 1.244, 3273.81/s, 1636.90/s/gpu Logit Scale: 53.804 | Logit Bias: -15.602  | Lambda Scalar: 0.000 | Total_loss: 0.62826 (0.65173) Joint_loss: -25.007 (-24.977) Cross_loss: 1.9839 (1.9813) Image_lambda_loss: 0.35711 (0.34083) Text_lambda_loss: 0.35930 (0.34949) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:56:43 | INFO | Train Epoch: 9 [9193800/9193800 (100%)] Step: 23.1K | Data (t): 0.256 Batch (t): 1.224, 3287.72/s, 1643.86/s/gpu Logit Scale: 53.819 | Logit Bias: -15.602  | Lambda Scalar: 0.000 | Total_loss: 0.63045 (0.65088) Joint_loss: -25.211 (-24.986) Cross_loss: 1.9069 (1.9783) Image_lambda_loss: 0.33188 (0.34047) Text_lambda_loss: 0.34955 (0.34949) | L_updates: 9 | z_beta: 0.4780361288064513, model_beta: 0.9992 | 
2025-01-24,11:56:43 | INFO | Starting zero-shot imagenet.
2025-01-24,11:56:43 | INFO | Building zero-shot classifier
2025-01-24,11:56:50 | INFO | Using classifier
2025-01-24,11:57:51 | INFO | Finished zero-shot imagenet.
2025-01-24,11:57:59 | INFO | Eval Epoch: 10 [1990 / 205824]	Clip Loss: 1.932056	
2025-01-24,11:58:32 | INFO | Eval Epoch: 10 imagenet-zeroshot-val-top1: 0.1900	imagenet-zeroshot-val-top5: 0.4087	image_to_text_mean_rank: 42.3305	image_to_text_median_rank: 2.0000	image_to_text_R@1: 0.3867	image_to_text_R@5: 0.6435	image_to_text_R@10: 0.7274	text_to_image_mean_rank: 50.1688	text_to_image_median_rank: 2.0000	text_to_image_R@1: 0.3940	text_to_image_R@5: 0.6446	text_to_image_R@10: 0.7293	clip_val_loss: 1.7900	epoch: 10.0000	num_samples: 8678.0000
2025-01-24,11:58:34 | INFO | Start epoch 10
2025-01-24,11:58:44 | INFO | Train Epoch: 10 [   3980/9193800 (0%)] Step: 23.1K | Data (t): 9.121 Batch (t): 10.046, 396.162/s, 198.081/s/gpu Logit Scale: 53.821 | Logit Bias: -15.602  | Lambda Scalar: 0.000 | Total_loss: 0.61329 (0.61329) Joint_loss: -23.712 (-23.712) Cross_loss: 2.4919 (2.4919) Image_lambda_loss: 0.34710 (0.34710) Text_lambda_loss: 0.35124 (0.35124) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:00:52 | INFO | Train Epoch: 10 [ 401980/9193800 (4%)] Step: 23.2K | Data (t): 0.231 Batch (t): 1.275, 3296.98/s, 1648.49/s/gpu Logit Scale: 53.994 | Logit Bias: -15.605  | Lambda Scalar: 0.000 | Total_loss: 0.61445 (0.61387) Joint_loss: -23.942 (-23.827) Cross_loss: 2.4305 (2.4612) Image_lambda_loss: 0.40608 (0.37659) Text_lambda_loss: 0.42295 (0.38709) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:02:53 | INFO | Train Epoch: 10 [ 799980/9193800 (9%)] Step: 23.3K | Data (t): 0.215 Batch (t): 1.209, 3460.69/s, 1730.34/s/gpu Logit Scale: 54.168 | Logit Bias: -15.609  | Lambda Scalar: 0.000 | Total_loss: 0.62030 (0.61601) Joint_loss: -24.882 (-24.179) Cross_loss: 1.9103 (2.2776) Image_lambda_loss: 0.39443 (0.38254) Text_lambda_loss: 0.39112 (0.38844) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:04:55 | INFO | Train Epoch: 10 [1197980/9193800 (13%)] Step: 23.4K | Data (t): 0.252 Batch (t): 1.225, 3383.74/s, 1691.87/s/gpu Logit Scale: 54.341 | Logit Bias: -15.612  | Lambda Scalar: 0.000 | Total_loss: 0.62780 (0.61896) Joint_loss: -25.410 (-24.487) Cross_loss: 1.8937 (2.1816) Image_lambda_loss: 0.34472 (0.37308) Text_lambda_loss: 0.37220 (0.38438) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:06:57 | INFO | Train Epoch: 10 [1595980/9193800 (17%)] Step: 23.5K | Data (t): 0.222 Batch (t): 1.214, 3180.08/s, 1590.04/s/gpu Logit Scale: 54.515 | Logit Bias: -15.615  | Lambda Scalar: 0.000 | Total_loss: 0.62480 (0.62013) Joint_loss: -25.338 (-24.657) Cross_loss: 1.9132 (2.1279) Image_lambda_loss: 0.33770 (0.36601) Text_lambda_loss: 0.36715 (0.38093) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:08:57 | INFO | Train Epoch: 10 [1993980/9193800 (22%)] Step: 23.6K | Data (t): 0.227 Batch (t): 1.199, 3419.29/s, 1709.65/s/gpu Logit Scale: 54.691 | Logit Bias: -15.619  | Lambda Scalar: 0.000 | Total_loss: 0.62325 (0.62065) Joint_loss: -25.212 (-24.749) Cross_loss: 2.0652 (2.1175) Image_lambda_loss: 0.34774 (0.36296) Text_lambda_loss: 0.37039 (0.37918) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:10:58 | INFO | Train Epoch: 10 [2391980/9193800 (26%)] Step: 23.7K | Data (t): 0.245 Batch (t): 1.218, 3355.56/s, 1677.78/s/gpu Logit Scale: 54.867 | Logit Bias: -15.622  | Lambda Scalar: 0.000 | Total_loss: 0.61869 (0.62037) Joint_loss: -25.193 (-24.813) Cross_loss: 1.9458 (2.0929) Image_lambda_loss: 0.35365 (0.36163) Text_lambda_loss: 0.39329 (0.38119) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:12:58 | INFO | Train Epoch: 10 [2789980/9193800 (30%)] Step: 23.8K | Data (t): 0.212 Batch (t): 1.198, 3357.17/s, 1678.58/s/gpu Logit Scale: 55.045 | Logit Bias: -15.625  | Lambda Scalar: 0.000 | Total_loss: 0.61939 (0.62025) Joint_loss: -25.127 (-24.852) Cross_loss: 2.1605 (2.1014) Image_lambda_loss: 0.34186 (0.35916) Text_lambda_loss: 0.36849 (0.37960) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:15:00 | INFO | Train Epoch: 10 [3187980/9193800 (35%)] Step: 23.9K | Data (t): 0.221 Batch (t): 1.214, 3317.82/s, 1658.91/s/gpu Logit Scale: 55.224 | Logit Bias: -15.629  | Lambda Scalar: 0.000 | Total_loss: 0.62001 (0.62022) Joint_loss: -25.320 (-24.904) Cross_loss: 2.1118 (2.1026) Image_lambda_loss: 0.33291 (0.35624) Text_lambda_loss: 0.36186 (0.37763) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:17:06 | INFO | Train Epoch: 10 [3585980/9193800 (39%)] Step: 24.0K | Data (t): 0.258 Batch (t): 1.261, 2994.46/s, 1497.23/s/gpu Logit Scale: 55.403 | Logit Bias: -15.632  | Lambda Scalar: 0.000 | Total_loss: 0.61061 (0.61926) Joint_loss: -25.015 (-24.915) Cross_loss: 2.0121 (2.0935) Image_lambda_loss: 0.30809 (0.35143) Text_lambda_loss: 0.32561 (0.37243) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:19:15 | INFO | Train Epoch: 10 [3983980/9193800 (43%)] Step: 24.1K | Data (t): 0.289 Batch (t): 1.290, 3069.23/s, 1534.61/s/gpu Logit Scale: 55.583 | Logit Bias: -15.635  | Lambda Scalar: 0.000 | Total_loss: 0.61624 (0.61899) Joint_loss: -25.503 (-24.969) Cross_loss: 1.9441 (2.0799) Image_lambda_loss: 0.34633 (0.35097) Text_lambda_loss: 0.36030 (0.37133) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:21:21 | INFO | Train Epoch: 10 [4381980/9193800 (48%)] Step: 24.2K | Data (t): 0.263 Batch (t): 1.261, 3300.04/s, 1650.02/s/gpu Logit Scale: 55.764 | Logit Bias: -15.639  | Lambda Scalar: 0.000 | Total_loss: 0.61529 (0.61868) Joint_loss: -25.264 (-24.993) Cross_loss: 2.2424 (2.0935) Image_lambda_loss: 0.35288 (0.35113) Text_lambda_loss: 0.35586 (0.37004) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:23:28 | INFO | Train Epoch: 10 [4779980/9193800 (52%)] Step: 24.3K | Data (t): 0.256 Batch (t): 1.270, 3154.33/s, 1577.16/s/gpu Logit Scale: 55.946 | Logit Bias: -15.642  | Lambda Scalar: 0.000 | Total_loss: 0.61382 (0.61830) Joint_loss: -25.628 (-25.042) Cross_loss: 1.9083 (2.0792) Image_lambda_loss: 0.32299 (0.34896) Text_lambda_loss: 0.33346 (0.36723) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:25:32 | INFO | Train Epoch: 10 [5177980/9193800 (56%)] Step: 24.4K | Data (t): 0.228 Batch (t): 1.247, 3390.50/s, 1695.25/s/gpu Logit Scale: 56.128 | Logit Bias: -15.645  | Lambda Scalar: 0.000 | Total_loss: 0.61032 (0.61773) Joint_loss: -25.327 (-25.063) Cross_loss: 2.1263 (2.0826) Image_lambda_loss: 0.36167 (0.34987) Text_lambda_loss: 0.36237 (0.36688) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:27:36 | INFO | Train Epoch: 10 [5575980/9193800 (61%)] Step: 24.5K | Data (t): 0.225 Batch (t): 1.238, 2974.99/s, 1487.50/s/gpu Logit Scale: 56.309 | Logit Bias: -15.649  | Lambda Scalar: 0.000 | Total_loss: 0.60574 (0.61693) Joint_loss: -25.218 (-25.073) Cross_loss: 2.0900 (2.0831) Image_lambda_loss: 0.38277 (0.35206) Text_lambda_loss: 0.36817 (0.36696) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:29:44 | INFO | Train Epoch: 10 [5973980/9193800 (65%)] Step: 24.6K | Data (t): 0.293 Batch (t): 1.275, 3419.71/s, 1709.86/s/gpu Logit Scale: 56.492 | Logit Bias: -15.652  | Lambda Scalar: 0.000 | Total_loss: 0.60590 (0.61624) Joint_loss: -25.382 (-25.092) Cross_loss: 2.0458 (2.0807) Image_lambda_loss: 0.32673 (0.35048) Text_lambda_loss: 0.33203 (0.36478) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:31:49 | INFO | Train Epoch: 10 [6371980/9193800 (69%)] Step: 24.7K | Data (t): 0.273 Batch (t): 1.247, 3320.38/s, 1660.19/s/gpu Logit Scale: 56.676 | Logit Bias: -15.655  | Lambda Scalar: 0.000 | Total_loss: 0.60649 (0.61567) Joint_loss: -25.734 (-25.130) Cross_loss: 1.8384 (2.0665) Image_lambda_loss: 0.32668 (0.34908) Text_lambda_loss: 0.35574 (0.36425) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:33:54 | INFO | Train Epoch: 10 [6769980/9193800 (74%)] Step: 24.8K | Data (t): 0.284 Batch (t): 1.258, 2986.69/s, 1493.34/s/gpu Logit Scale: 56.860 | Logit Bias: -15.659  | Lambda Scalar: 0.000 | Total_loss: 0.60107 (0.61486) Joint_loss: -25.276 (-25.138) Cross_loss: 2.1035 (2.0686) Image_lambda_loss: 0.34150 (0.34866) Text_lambda_loss: 0.34670 (0.36327) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:36:01 | INFO | Train Epoch: 10 [7167980/9193800 (78%)] Step: 24.9K | Data (t): 0.294 Batch (t): 1.270, 3255.05/s, 1627.52/s/gpu Logit Scale: 57.044 | Logit Bias: -15.662  | Lambda Scalar: 0.000 | Total_loss: 0.60090 (0.61412) Joint_loss: -25.536 (-25.159) Cross_loss: 1.9440 (2.0620) Image_lambda_loss: 0.32778 (0.34756) Text_lambda_loss: 0.32830 (0.36143) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:38:09 | INFO | Train Epoch: 10 [7565980/9193800 (82%)] Step: 25.0K | Data (t): 0.296 Batch (t): 1.278, 2891.27/s, 1445.64/s/gpu Logit Scale: 57.229 | Logit Bias: -15.665  | Lambda Scalar: 0.000 | Total_loss: 0.59613 (0.61323) Joint_loss: -25.210 (-25.162) Cross_loss: 2.1101 (2.0644) Image_lambda_loss: 0.34911 (0.34764) Text_lambda_loss: 0.37360 (0.36204) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:40:16 | INFO | Train Epoch: 10 [7963980/9193800 (87%)] Step: 25.1K | Data (t): 0.289 Batch (t): 1.272, 3128.15/s, 1564.07/s/gpu Logit Scale: 57.413 | Logit Bias: -15.669  | Lambda Scalar: 0.000 | Total_loss: 0.60191 (0.61269) Joint_loss: -25.989 (-25.201) Cross_loss: 1.7707 (2.0504) Image_lambda_loss: 0.34861 (0.34768) Text_lambda_loss: 0.35471 (0.36169) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:42:10 | INFO | Train Epoch: 10 [8361980/9193800 (91%)] Step: 25.2K | Data (t): 0.125 Batch (t): 1.138, 3894.31/s, 1947.16/s/gpu Logit Scale: 57.599 | Logit Bias: -15.672  | Lambda Scalar: 0.000 | Total_loss: 0.58790 (0.61156) Joint_loss: -24.938 (-25.189) Cross_loss: 2.1329 (2.0542) Image_lambda_loss: 0.35892 (0.34819) Text_lambda_loss: 0.38965 (0.36296) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:44:03 | INFO | Train Epoch: 10 [8759980/9193800 (95%)] Step: 25.3K | Data (t): 0.053 Batch (t): 1.129, 3915.58/s, 1957.79/s/gpu Logit Scale: 57.786 | Logit Bias: -15.675  | Lambda Scalar: 0.000 | Total_loss: 0.58487 (0.61040) Joint_loss: -25.121 (-25.186) Cross_loss: 1.8867 (2.0469) Image_lambda_loss: 0.35147 (0.34834) Text_lambda_loss: 0.37148 (0.36333) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:45:56 | INFO | Train Epoch: 10 [9157980/9193800 (100%)] Step: 25.4K | Data (t): 0.093 Batch (t): 1.134, 3770.53/s, 1885.26/s/gpu Logit Scale: 57.972 | Logit Bias: -15.679  | Lambda Scalar: 0.000 | Total_loss: 0.58351 (0.60928) Joint_loss: -25.015 (-25.179) Cross_loss: 2.0230 (2.0459) Image_lambda_loss: 0.33551 (0.34780) Text_lambda_loss: 0.36020 (0.36320) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:46:08 | INFO | Train Epoch: 10 [9193800/9193800 (100%)] Step: 25.4K | Data (t): 0.262 Batch (t): 1.264, 2981.34/s, 1490.67/s/gpu Logit Scale: 57.989 | Logit Bias: -15.679  | Lambda Scalar: 0.000 | Total_loss: 0.58302 (0.60823) Joint_loss: -24.941 (-25.169) Cross_loss: 2.0783 (2.0472) Image_lambda_loss: 0.35191 (0.34797) Text_lambda_loss: 0.37657 (0.36374) | L_updates: 9 | z_beta: 0.553073372946036, model_beta: 0.9992 | 
2025-01-24,12:46:08 | INFO | Starting zero-shot imagenet.
2025-01-24,12:46:08 | INFO | Building zero-shot classifier
2025-01-24,12:46:15 | INFO | Using classifier
2025-01-24,12:47:16 | INFO | Finished zero-shot imagenet.
2025-01-24,12:47:24 | INFO | Eval Epoch: 11 [1990 / 205824]	Clip Loss: 1.885718	
2025-01-24,12:47:55 | INFO | Eval Epoch: 11 imagenet-zeroshot-val-top1: 0.1956	imagenet-zeroshot-val-top5: 0.4151	image_to_text_mean_rank: 40.7678	image_to_text_median_rank: 2.0000	image_to_text_R@1: 0.3979	image_to_text_R@5: 0.6537	image_to_text_R@10: 0.7389	text_to_image_mean_rank: 49.2673	text_to_image_median_rank: 2.0000	text_to_image_R@1: 0.4112	text_to_image_R@5: 0.6601	text_to_image_R@10: 0.7396	clip_val_loss: 1.7570	epoch: 11.0000	num_samples: 8678.0000
2025-01-24,12:47:57 | INFO | Start epoch 11
2025-01-24,12:48:07 | INFO | Train Epoch: 11 [   3980/9193800 (0%)] Step: 25.4K | Data (t): 8.868 Batch (t): 9.817, 405.405/s, 202.702/s/gpu Logit Scale: 57.991 | Logit Bias: -15.679  | Lambda Scalar: 0.000 | Total_loss: 0.58022 (0.58022) Joint_loss: -24.781 (-24.781) Cross_loss: 2.0793 (2.0793) Image_lambda_loss: 0.36606 (0.36606) Text_lambda_loss: 0.36461 (0.36461) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,12:50:10 | INFO | Train Epoch: 11 [ 401980/9193800 (4%)] Step: 25.5K | Data (t): 0.211 Batch (t): 1.233, 2884.65/s, 1442.33/s/gpu Logit Scale: 58.175 | Logit Bias: -15.682  | Lambda Scalar: 0.000 | Total_loss: 0.57863 (0.57943) Joint_loss: -24.598 (-24.689) Cross_loss: 2.2774 (2.1784) Image_lambda_loss: 0.39987 (0.38296) Text_lambda_loss: 0.38163 (0.37312) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,12:52:18 | INFO | Train Epoch: 11 [ 799980/9193800 (9%)] Step: 25.6K | Data (t): 0.281 Batch (t): 1.282, 3260.07/s, 1630.04/s/gpu Logit Scale: 58.360 | Logit Bias: -15.686  | Lambda Scalar: 0.000 | Total_loss: 0.57742 (0.57876) Joint_loss: -24.770 (-24.716) Cross_loss: 2.1421 (2.1663) Image_lambda_loss: 0.41552 (0.39381) Text_lambda_loss: 0.42961 (0.39195) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,12:54:28 | INFO | Train Epoch: 11 [1197980/9193800 (13%)] Step: 25.7K | Data (t): 0.259 Batch (t): 1.291, 2988.22/s, 1494.11/s/gpu Logit Scale: 58.547 | Logit Bias: -15.689  | Lambda Scalar: 0.000 | Total_loss: 0.58180 (0.57952) Joint_loss: -25.259 (-24.852) Cross_loss: 2.0155 (2.1286) Image_lambda_loss: 0.38729 (0.39218) Text_lambda_loss: 0.40566 (0.39538) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,12:56:39 | INFO | Train Epoch: 11 [1595980/9193800 (17%)] Step: 25.8K | Data (t): 0.300 Batch (t): 1.311, 2838.21/s, 1419.10/s/gpu Logit Scale: 58.734 | Logit Bias: -15.692  | Lambda Scalar: 0.000 | Total_loss: 0.57285 (0.57819) Joint_loss: -24.794 (-24.840) Cross_loss: 2.0680 (2.1165) Image_lambda_loss: 0.38871 (0.39149) Text_lambda_loss: 0.35965 (0.38823) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,12:58:51 | INFO | Train Epoch: 11 [1993980/9193800 (22%)] Step: 25.9K | Data (t): 0.293 Batch (t): 1.325, 3043.75/s, 1521.87/s/gpu Logit Scale: 58.923 | Logit Bias: -15.696  | Lambda Scalar: 0.000 | Total_loss: 0.57534 (0.57771) Joint_loss: -25.119 (-24.887) Cross_loss: 1.9969 (2.0965) Image_lambda_loss: 0.41035 (0.39463) Text_lambda_loss: 0.41518 (0.39272) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:01:02 | INFO | Train Epoch: 11 [2391980/9193800 (26%)] Step: 26.0K | Data (t): 0.274 Batch (t): 1.312, 3051.32/s, 1525.66/s/gpu Logit Scale: 59.112 | Logit Bias: -15.699  | Lambda Scalar: 0.000 | Total_loss: 0.57825 (0.57779) Joint_loss: -25.701 (-25.003) Cross_loss: 1.6939 (2.0390) Image_lambda_loss: 0.35384 (0.38881) Text_lambda_loss: 0.36751 (0.38912) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:03:13 | INFO | Train Epoch: 11 [2789980/9193800 (30%)] Step: 26.1K | Data (t): 0.282 Batch (t): 1.311, 2830.96/s, 1415.48/s/gpu Logit Scale: 59.302 | Logit Bias: -15.702  | Lambda Scalar: 0.000 | Total_loss: 0.56809 (0.57658) Joint_loss: -24.880 (-24.988) Cross_loss: 2.0273 (2.0375) Image_lambda_loss: 0.37247 (0.38676) Text_lambda_loss: 0.37291 (0.38710) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:05:25 | INFO | Train Epoch: 11 [3187980/9193800 (35%)] Step: 26.2K | Data (t): 0.305 Batch (t): 1.318, 3009.36/s, 1504.68/s/gpu Logit Scale: 59.495 | Logit Bias: -15.706  | Lambda Scalar: 0.000 | Total_loss: 0.57272 (0.57615) Joint_loss: -25.288 (-25.021) Cross_loss: 2.0025 (2.0336) Image_lambda_loss: 0.34139 (0.38172) Text_lambda_loss: 0.36467 (0.38460) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:07:33 | INFO | Train Epoch: 11 [3585980/9193800 (39%)] Step: 26.3K | Data (t): 0.292 Batch (t): 1.280, 3267.34/s, 1633.67/s/gpu Logit Scale: 59.689 | Logit Bias: -15.709  | Lambda Scalar: 0.000 | Total_loss: 0.57019 (0.57555) Joint_loss: -25.170 (-25.036) Cross_loss: 2.0816 (2.0384) Image_lambda_loss: 0.34812 (0.37836) Text_lambda_loss: 0.36152 (0.38230) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:09:41 | INFO | Train Epoch: 11 [3983980/9193800 (43%)] Step: 26.4K | Data (t): 0.291 Batch (t): 1.277, 3161.61/s, 1580.80/s/gpu Logit Scale: 59.884 | Logit Bias: -15.712  | Lambda Scalar: 0.000 | Total_loss: 0.56950 (0.57500) Joint_loss: -25.397 (-25.069) Cross_loss: 1.9243 (2.0281) Image_lambda_loss: 0.34191 (0.37505) Text_lambda_loss: 0.33773 (0.37824) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:11:49 | INFO | Train Epoch: 11 [4381980/9193800 (48%)] Step: 26.5K | Data (t): 0.293 Batch (t): 1.277, 3138.36/s, 1569.18/s/gpu Logit Scale: 60.079 | Logit Bias: -15.716  | Lambda Scalar: 0.000 | Total_loss: 0.56718 (0.57435) Joint_loss: -25.446 (-25.100) Cross_loss: 1.8481 (2.0131) Image_lambda_loss: 0.35367 (0.37327) Text_lambda_loss: 0.35617 (0.37640) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:13:57 | INFO | Train Epoch: 11 [4779980/9193800 (52%)] Step: 26.6K | Data (t): 0.295 Batch (t): 1.283, 3325.28/s, 1662.64/s/gpu Logit Scale: 60.273 | Logit Bias: -15.719  | Lambda Scalar: 0.000 | Total_loss: 0.56622 (0.57373) Joint_loss: -25.390 (-25.123) Cross_loss: 1.9573 (2.0088) Image_lambda_loss: 0.38057 (0.37383) Text_lambda_loss: 0.37451 (0.37626) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:16:03 | INFO | Train Epoch: 11 [5177980/9193800 (56%)] Step: 26.7K | Data (t): 0.275 Batch (t): 1.261, 3184.98/s, 1592.49/s/gpu Logit Scale: 60.469 | Logit Bias: -15.722  | Lambda Scalar: 0.000 | Total_loss: 0.56465 (0.57308) Joint_loss: -25.495 (-25.149) Cross_loss: 1.8690 (1.9988) Image_lambda_loss: 0.36129 (0.37293) Text_lambda_loss: 0.37740 (0.37634) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:18:08 | INFO | Train Epoch: 11 [5575980/9193800 (61%)] Step: 26.8K | Data (t): 0.272 Batch (t): 1.249, 3056.51/s, 1528.26/s/gpu Logit Scale: 60.666 | Logit Bias: -15.726  | Lambda Scalar: 0.000 | Total_loss: 0.56443 (0.57250) Joint_loss: -25.551 (-25.176) Cross_loss: 1.9101 (1.9929) Image_lambda_loss: 0.30566 (0.36845) Text_lambda_loss: 0.32516 (0.37293) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:20:15 | INFO | Train Epoch: 11 [5973980/9193800 (65%)] Step: 26.9K | Data (t): 0.262 Batch (t): 1.267, 3261.86/s, 1630.93/s/gpu Logit Scale: 60.864 | Logit Bias: -15.729  | Lambda Scalar: 0.000 | Total_loss: 0.56168 (0.57182) Joint_loss: -25.595 (-25.202) Cross_loss: 1.8122 (1.9816) Image_lambda_loss: 0.36104 (0.36798) Text_lambda_loss: 0.35190 (0.37161) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:22:23 | INFO | Train Epoch: 11 [6371980/9193800 (69%)] Step: 27.0K | Data (t): 0.290 Batch (t): 1.284, 3266.06/s, 1633.03/s/gpu Logit Scale: 61.062 | Logit Bias: -15.732  | Lambda Scalar: 0.000 | Total_loss: 0.56033 (0.57115) Joint_loss: -25.529 (-25.221) Cross_loss: 1.9082 (1.9773) Image_lambda_loss: 0.34676 (0.36674) Text_lambda_loss: 0.38389 (0.37234) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:24:31 | INFO | Train Epoch: 11 [6769980/9193800 (74%)] Step: 27.1K | Data (t): 0.289 Batch (t): 1.285, 3155.89/s, 1577.95/s/gpu Logit Scale: 61.260 | Logit Bias: -15.736  | Lambda Scalar: 0.000 | Total_loss: 0.55809 (0.57042) Joint_loss: -25.270 (-25.224) Cross_loss: 2.1416 (1.9864) Image_lambda_loss: 0.34636 (0.36560) Text_lambda_loss: 0.34092 (0.37059) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:26:39 | INFO | Train Epoch: 11 [7167980/9193800 (78%)] Step: 27.2K | Data (t): 0.282 Batch (t): 1.280, 3152.47/s, 1576.23/s/gpu Logit Scale: 61.461 | Logit Bias: -15.739  | Lambda Scalar: 0.000 | Total_loss: 0.55350 (0.56953) Joint_loss: -25.025 (-25.214) Cross_loss: 2.2189 (1.9986) Image_lambda_loss: 0.36948 (0.36581) Text_lambda_loss: 0.40074 (0.37218) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:28:48 | INFO | Train Epoch: 11 [7565980/9193800 (82%)] Step: 27.3K | Data (t): 0.294 Batch (t): 1.286, 2869.34/s, 1434.67/s/gpu Logit Scale: 61.661 | Logit Bias: -15.742  | Lambda Scalar: 0.000 | Total_loss: 0.55517 (0.56881) Joint_loss: -25.590 (-25.232) Cross_loss: 1.8669 (1.9920) Image_lambda_loss: 0.31826 (0.36343) Text_lambda_loss: 0.32327 (0.36973) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:30:55 | INFO | Train Epoch: 11 [7963980/9193800 (87%)] Step: 27.4K | Data (t): 0.287 Batch (t): 1.273, 2956.25/s, 1478.13/s/gpu Logit Scale: 61.862 | Logit Bias: -15.746  | Lambda Scalar: 0.000 | Total_loss: 0.55417 (0.56812) Joint_loss: -25.368 (-25.239) Cross_loss: 2.1390 (1.9990) Image_lambda_loss: 0.35085 (0.36283) Text_lambda_loss: 0.35576 (0.36907) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:33:00 | INFO | Train Epoch: 11 [8361980/9193800 (91%)] Step: 27.5K | Data (t): 0.221 Batch (t): 1.249, 3156.32/s, 1578.16/s/gpu Logit Scale: 62.062 | Logit Bias: -15.749  | Lambda Scalar: 0.000 | Total_loss: 0.54241 (0.56695) Joint_loss: -24.933 (-25.225) Cross_loss: 1.9609 (1.9973) Image_lambda_loss: 0.35915 (0.36266) Text_lambda_loss: 0.37032 (0.36912) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:35:08 | INFO | Train Epoch: 11 [8759980/9193800 (95%)] Step: 27.6K | Data (t): 0.282 Batch (t): 1.280, 2973.37/s, 1486.69/s/gpu Logit Scale: 62.263 | Logit Bias: -15.752  | Lambda Scalar: 0.000 | Total_loss: 0.53992 (0.56577) Joint_loss: -24.740 (-25.204) Cross_loss: 2.1094 (2.0022) Image_lambda_loss: 0.36778 (0.36289) Text_lambda_loss: 0.39069 (0.37006) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:37:18 | INFO | Train Epoch: 11 [9157980/9193800 (100%)] Step: 27.7K | Data (t): 0.298 Batch (t): 1.296, 3244.07/s, 1622.03/s/gpu Logit Scale: 62.465 | Logit Bias: -15.756  | Lambda Scalar: 0.000 | Total_loss: 0.53931 (0.56467) Joint_loss: -24.944 (-25.193) Cross_loss: 1.9762 (2.0011) Image_lambda_loss: 0.37641 (0.36345) Text_lambda_loss: 0.40472 (0.37151) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:37:29 | INFO | Train Epoch: 11 [9193800/9193800 (100%)] Step: 27.7K | Data (t): 0.264 Batch (t): 1.276, 3312.47/s, 1656.23/s/gpu Logit Scale: 62.483 | Logit Bias: -15.756  | Lambda Scalar: 0.000 | Total_loss: 0.54039 (0.56370) Joint_loss: -25.003 (-25.185) Cross_loss: 1.9940 (2.0008) Image_lambda_loss: 0.38167 (0.36418) Text_lambda_loss: 0.39684 (0.37252) | L_updates: 9 | z_beta: 0.6222280932078408, model_beta: 0.9992 | 
2025-01-24,13:37:29 | INFO | Starting zero-shot imagenet.
2025-01-24,13:37:29 | INFO | Building zero-shot classifier
2025-01-24,13:37:36 | INFO | Using classifier
2025-01-24,13:38:39 | INFO | Finished zero-shot imagenet.
2025-01-24,13:38:47 | INFO | Eval Epoch: 12 [1990 / 205824]	Clip Loss: 1.847100	
2025-01-24,13:39:20 | INFO | Eval Epoch: 12 imagenet-zeroshot-val-top1: 0.1950	imagenet-zeroshot-val-top5: 0.4170	image_to_text_mean_rank: 41.7342	image_to_text_median_rank: 2.0000	image_to_text_R@1: 0.4166	image_to_text_R@5: 0.6624	image_to_text_R@10: 0.7459	text_to_image_mean_rank: 50.4637	text_to_image_median_rank: 2.0000	text_to_image_R@1: 0.4237	text_to_image_R@5: 0.6666	text_to_image_R@10: 0.7476	clip_val_loss: 1.7159	epoch: 12.0000	num_samples: 8678.0000
2025-01-24,13:39:22 | INFO | Start epoch 12
2025-01-24,13:39:32 | INFO | Train Epoch: 12 [   3980/9193800 (0%)] Step: 27.7K | Data (t): 9.064 Batch (t): 10.030, 396.797/s, 198.399/s/gpu Logit Scale: 62.485 | Logit Bias: -15.756  | Lambda Scalar: 0.000 | Total_loss: 0.53631 (0.53631) Joint_loss: -24.693 (-24.693) Cross_loss: 2.0529 (2.0529) Image_lambda_loss: 0.36574 (0.36574) Text_lambda_loss: 0.39479 (0.39479) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,13:41:39 | INFO | Train Epoch: 12 [ 401980/9193800 (4%)] Step: 27.8K | Data (t): 0.211 Batch (t): 1.265, 3337.79/s, 1668.89/s/gpu Logit Scale: 62.683 | Logit Bias: -15.759  | Lambda Scalar: 0.000 | Total_loss: 0.53931 (0.53781) Joint_loss: -25.095 (-24.894) Cross_loss: 1.9436 (1.9982) Image_lambda_loss: 0.39906 (0.38240) Text_lambda_loss: 0.39766 (0.39623) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,13:43:51 | INFO | Train Epoch: 12 [ 799980/9193800 (9%)] Step: 27.9K | Data (t): 0.316 Batch (t): 1.322, 3139.72/s, 1569.86/s/gpu Logit Scale: 62.880 | Logit Bias: -15.763  | Lambda Scalar: 0.000 | Total_loss: 0.53050 (0.53538) Joint_loss: -24.303 (-24.697) Cross_loss: 2.2918 (2.0961) Image_lambda_loss: 0.41395 (0.39292) Text_lambda_loss: 0.43795 (0.41013) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,13:46:03 | INFO | Train Epoch: 12 [1197980/9193800 (13%)] Step: 28.0K | Data (t): 0.315 Batch (t): 1.323, 3344.31/s, 1672.15/s/gpu Logit Scale: 63.081 | Logit Bias: -15.766  | Lambda Scalar: 0.000 | Total_loss: 0.53937 (0.53637) Joint_loss: -25.466 (-24.889) Cross_loss: 1.7900 (2.0196) Image_lambda_loss: 0.38813 (0.39172) Text_lambda_loss: 0.40938 (0.40995) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,13:48:12 | INFO | Train Epoch: 12 [1595980/9193800 (17%)] Step: 28.1K | Data (t): 0.277 Batch (t): 1.289, 3035.45/s, 1517.73/s/gpu Logit Scale: 63.282 | Logit Bias: -15.769  | Lambda Scalar: 0.000 | Total_loss: 0.52688 (0.53448) Joint_loss: -24.624 (-24.836) Cross_loss: 1.9568 (2.0070) Image_lambda_loss: 0.38934 (0.39124) Text_lambda_loss: 0.38692 (0.40534) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,13:50:23 | INFO | Train Epoch: 12 [1993980/9193800 (22%)] Step: 28.2K | Data (t): 0.289 Batch (t): 1.304, 3038.09/s, 1519.04/s/gpu Logit Scale: 63.486 | Logit Bias: -15.773  | Lambda Scalar: 0.000 | Total_loss: 0.53278 (0.53419) Joint_loss: -24.960 (-24.857) Cross_loss: 2.0997 (2.0225) Image_lambda_loss: 0.39951 (0.39262) Text_lambda_loss: 0.41557 (0.40705) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,13:52:31 | INFO | Train Epoch: 12 [2391980/9193800 (26%)] Step: 28.3K | Data (t): 0.277 Batch (t): 1.285, 3172.34/s, 1586.17/s/gpu Logit Scale: 63.689 | Logit Bias: -15.776  | Lambda Scalar: 0.000 | Total_loss: 0.52920 (0.53348) Joint_loss: -24.993 (-24.876) Cross_loss: 1.9491 (2.0120) Image_lambda_loss: 0.38942 (0.39216) Text_lambda_loss: 0.37126 (0.40193) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,13:54:41 | INFO | Train Epoch: 12 [2789980/9193800 (30%)] Step: 28.4K | Data (t): 0.292 Batch (t): 1.297, 3210.36/s, 1605.18/s/gpu Logit Scale: 63.895 | Logit Bias: -15.779  | Lambda Scalar: 0.000 | Total_loss: 0.52588 (0.53253) Joint_loss: -24.669 (-24.850) Cross_loss: 2.1720 (2.0320) Image_lambda_loss: 0.41585 (0.39513) Text_lambda_loss: 0.42468 (0.40478) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,13:56:49 | INFO | Train Epoch: 12 [3187980/9193800 (35%)] Step: 28.5K | Data (t): 0.244 Batch (t): 1.285, 2914.14/s, 1457.07/s/gpu Logit Scale: 64.100 | Logit Bias: -15.783  | Lambda Scalar: 0.000 | Total_loss: 0.52374 (0.53155) Joint_loss: -24.721 (-24.836) Cross_loss: 2.0904 (2.0385) Image_lambda_loss: 0.35064 (0.39018) Text_lambda_loss: 0.38641 (0.40274) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,13:59:00 | INFO | Train Epoch: 12 [3585980/9193800 (39%)] Step: 28.6K | Data (t): 0.252 Batch (t): 1.312, 2921.56/s, 1460.78/s/gpu Logit Scale: 64.306 | Logit Bias: -15.786  | Lambda Scalar: 0.000 | Total_loss: 0.52690 (0.53109) Joint_loss: -25.325 (-24.885) Cross_loss: 1.7962 (2.0142) Image_lambda_loss: 0.36893 (0.38806) Text_lambda_loss: 0.39012 (0.40148) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:01:07 | INFO | Train Epoch: 12 [3983980/9193800 (43%)] Step: 28.7K | Data (t): 0.242 Batch (t): 1.268, 3174.32/s, 1587.16/s/gpu Logit Scale: 64.515 | Logit Bias: -15.789  | Lambda Scalar: 0.000 | Total_loss: 0.52225 (0.53029) Joint_loss: -25.005 (-24.896) Cross_loss: 1.9287 (2.0065) Image_lambda_loss: 0.36904 (0.38633) Text_lambda_loss: 0.34672 (0.39650) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:03:15 | INFO | Train Epoch: 12 [4381980/9193800 (48%)] Step: 28.8K | Data (t): 0.251 Batch (t): 1.273, 3311.90/s, 1655.95/s/gpu Logit Scale: 64.726 | Logit Bias: -15.793  | Lambda Scalar: 0.000 | Total_loss: 0.52456 (0.52981) Joint_loss: -25.202 (-24.921) Cross_loss: 1.9902 (2.0051) Image_lambda_loss: 0.36913 (0.38490) Text_lambda_loss: 0.37379 (0.39461) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:05:22 | INFO | Train Epoch: 12 [4779980/9193800 (52%)] Step: 28.9K | Data (t): 0.260 Batch (t): 1.277, 2937.79/s, 1468.89/s/gpu Logit Scale: 64.936 | Logit Bias: -15.796  | Lambda Scalar: 0.000 | Total_loss: 0.52410 (0.52937) Joint_loss: -25.487 (-24.965) Cross_loss: 1.7857 (1.9882) Image_lambda_loss: 0.37763 (0.38434) Text_lambda_loss: 0.37581 (0.39316) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:07:29 | INFO | Train Epoch: 12 [5177980/9193800 (56%)] Step: 29.0K | Data (t): 0.256 Batch (t): 1.267, 3412.22/s, 1706.11/s/gpu Logit Scale: 65.145 | Logit Bias: -15.799  | Lambda Scalar: 0.000 | Total_loss: 0.51902 (0.52863) Joint_loss: -25.112 (-24.975) Cross_loss: 1.9424 (1.9850) Image_lambda_loss: 0.37003 (0.38331) Text_lambda_loss: 0.36937 (0.39146) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:09:35 | INFO | Train Epoch: 12 [5575980/9193800 (61%)] Step: 29.1K | Data (t): 0.251 Batch (t): 1.257, 3034.30/s, 1517.15/s/gpu Logit Scale: 65.356 | Logit Bias: -15.803  | Lambda Scalar: 0.000 | Total_loss: 0.51731 (0.52788) Joint_loss: -25.046 (-24.980) Cross_loss: 2.0065 (1.9864) Image_lambda_loss: 0.36648 (0.38219) Text_lambda_loss: 0.38482 (0.39102) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:11:43 | INFO | Train Epoch: 12 [5973980/9193800 (65%)] Step: 29.2K | Data (t): 0.272 Batch (t): 1.282, 3035.15/s, 1517.58/s/gpu Logit Scale: 65.569 | Logit Bias: -15.806  | Lambda Scalar: 0.000 | Total_loss: 0.51512 (0.52708) Joint_loss: -25.024 (-24.983) Cross_loss: 1.9964 (1.9870) Image_lambda_loss: 0.34981 (0.38017) Text_lambda_loss: 0.35295 (0.38864) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:13:53 | INFO | Train Epoch: 12 [6371980/9193800 (69%)] Step: 29.3K | Data (t): 0.286 Batch (t): 1.299, 3141.77/s, 1570.88/s/gpu Logit Scale: 65.781 | Logit Bias: -15.809  | Lambda Scalar: 0.000 | Total_loss: 0.51228 (0.52621) Joint_loss: -24.792 (-24.972) Cross_loss: 2.1522 (1.9967) Image_lambda_loss: 0.36259 (0.37913) Text_lambda_loss: 0.37853 (0.38804) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:16:02 | INFO | Train Epoch: 12 [6769980/9193800 (74%)] Step: 29.4K | Data (t): 0.283 Batch (t): 1.293, 2932.02/s, 1466.01/s/gpu Logit Scale: 65.994 | Logit Bias: -15.813  | Lambda Scalar: 0.000 | Total_loss: 0.51433 (0.52555) Joint_loss: -25.223 (-24.986) Cross_loss: 1.9650 (1.9950) Image_lambda_loss: 0.29988 (0.37473) Text_lambda_loss: 0.33119 (0.38489) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:18:11 | INFO | Train Epoch: 12 [7167980/9193800 (78%)] Step: 29.5K | Data (t): 0.295 Batch (t): 1.294, 3011.32/s, 1505.66/s/gpu Logit Scale: 66.211 | Logit Bias: -15.816  | Lambda Scalar: 0.000 | Total_loss: 0.50937 (0.52470) Joint_loss: -24.839 (-24.978) Cross_loss: 2.1340 (2.0023) Image_lambda_loss: 0.38871 (0.37547) Text_lambda_loss: 0.38946 (0.38513) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:20:21 | INFO | Train Epoch: 12 [7565980/9193800 (82%)] Step: 29.6K | Data (t): 0.294 Batch (t): 1.293, 2893.76/s, 1446.88/s/gpu Logit Scale: 66.427 | Logit Bias: -15.819  | Lambda Scalar: 0.000 | Total_loss: 0.50867 (0.52390) Joint_loss: -24.805 (-24.969) Cross_loss: 2.2323 (2.0138) Image_lambda_loss: 0.37975 (0.37568) Text_lambda_loss: 0.40154 (0.38595) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:22:32 | INFO | Train Epoch: 12 [7963980/9193800 (87%)] Step: 29.7K | Data (t): 0.308 Batch (t): 1.311, 3042.20/s, 1521.10/s/gpu Logit Scale: 66.641 | Logit Bias: -15.823  | Lambda Scalar: 0.000 | Total_loss: 0.50793 (0.52314) Joint_loss: -25.243 (-24.982) Cross_loss: 1.8549 (2.0062) Image_lambda_loss: 0.38101 (0.37594) Text_lambda_loss: 0.36174 (0.38479) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:24:37 | INFO | Train Epoch: 12 [8361980/9193800 (91%)] Step: 29.8K | Data (t): 0.222 Batch (t): 1.251, 3109.12/s, 1554.56/s/gpu Logit Scale: 66.855 | Logit Bias: -15.826  | Lambda Scalar: 0.000 | Total_loss: 0.50097 (0.52213) Joint_loss: -24.533 (-24.962) Cross_loss: 2.2108 (2.0155) Image_lambda_loss: 0.38100 (0.37617) Text_lambda_loss: 0.41251 (0.38605) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:26:46 | INFO | Train Epoch: 12 [8759980/9193800 (95%)] Step: 29.9K | Data (t): 0.277 Batch (t): 1.287, 3264.38/s, 1632.19/s/gpu Logit Scale: 67.072 | Logit Bias: -15.829  | Lambda Scalar: 0.000 | Total_loss: 0.49516 (0.52095) Joint_loss: -24.282 (-24.932) Cross_loss: 2.1837 (2.0228) Image_lambda_loss: 0.37456 (0.37610) Text_lambda_loss: 0.41906 (0.38749) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:28:54 | INFO | Train Epoch: 12 [9157980/9193800 (100%)] Step: 30.0K | Data (t): 0.279 Batch (t): 1.288, 2541.79/s, 1270.89/s/gpu Logit Scale: 67.289 | Logit Bias: -15.833  | Lambda Scalar: 0.000 | Total_loss: 0.49792 (0.52000) Joint_loss: -24.805 (-24.927) Cross_loss: 1.9531 (2.0199) Image_lambda_loss: 0.38669 (0.37654) Text_lambda_loss: 0.39385 (0.38775) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:29:06 | INFO | Train Epoch: 12 [9193800/9193800 (100%)] Step: 30.0K | Data (t): 0.295 Batch (t): 1.288, 3138.10/s, 1569.05/s/gpu Logit Scale: 67.309 | Logit Bias: -15.833  | Lambda Scalar: 0.000 | Total_loss: 0.49571 (0.51902) Joint_loss: -24.483 (-24.909) Cross_loss: 2.1363 (2.0246) Image_lambda_loss: 0.36824 (0.37621) Text_lambda_loss: 0.38936 (0.38782) | L_updates: 9 | z_beta: 0.682842712474619, model_beta: 0.9992 | 
2025-01-24,14:29:06 | INFO | Starting zero-shot imagenet.
2025-01-24,14:29:06 | INFO | Building zero-shot classifier
2025-01-24,14:29:13 | INFO | Using classifier
2025-01-24,14:30:16 | INFO | Finished zero-shot imagenet.
2025-01-24,14:30:25 | INFO | Eval Epoch: 13 [1990 / 205824]	Clip Loss: 1.816309	
2025-01-24,14:30:57 | INFO | Eval Epoch: 13 imagenet-zeroshot-val-top1: 0.1989	imagenet-zeroshot-val-top5: 0.4189	image_to_text_mean_rank: 41.1941	image_to_text_median_rank: 2.0000	image_to_text_R@1: 0.4184	image_to_text_R@5: 0.6644	image_to_text_R@10: 0.7457	text_to_image_mean_rank: 50.0695	text_to_image_median_rank: 2.0000	text_to_image_R@1: 0.4167	text_to_image_R@5: 0.6642	text_to_image_R@10: 0.7510	clip_val_loss: 1.7131	epoch: 13.0000	num_samples: 8678.0000
2025-01-24,14:30:59 | INFO | Start epoch 13
2025-01-24,14:31:09 | INFO | Train Epoch: 13 [   3980/9193800 (0%)] Step: 30.0K | Data (t): 8.996 Batch (t): 9.987, 398.523/s, 199.261/s/gpu Logit Scale: 67.311 | Logit Bias: -15.833  | Lambda Scalar: 0.000 | Total_loss: 0.49690 (0.49690) Joint_loss: -24.781 (-24.781) Cross_loss: 1.9191 (1.9191) Image_lambda_loss: 0.36744 (0.36744) Text_lambda_loss: 0.40305 (0.40305) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,14:33:16 | INFO | Train Epoch: 13 [ 401980/9193800 (4%)] Step: 30.1K | Data (t): 0.218 Batch (t): 1.266, 3220.62/s, 1610.31/s/gpu Logit Scale: 67.524 | Logit Bias: -15.836  | Lambda Scalar: 0.000 | Total_loss: 0.49522 (0.49606) Joint_loss: -25.009 (-24.895) Cross_loss: 1.6849 (1.8020) Image_lambda_loss: 0.38741 (0.37743) Text_lambda_loss: 0.40108 (0.40206) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,14:35:25 | INFO | Train Epoch: 13 [ 799980/9193800 (9%)] Step: 30.2K | Data (t): 0.284 Batch (t): 1.291, 3232.84/s, 1616.42/s/gpu Logit Scale: 67.737 | Logit Bias: -15.840  | Lambda Scalar: 0.000 | Total_loss: 0.49320 (0.49511) Joint_loss: -24.709 (-24.833) Cross_loss: 1.9540 (1.8527) Image_lambda_loss: 0.38800 (0.38095) Text_lambda_loss: 0.42009 (0.40807) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,14:37:35 | INFO | Train Epoch: 13 [1197980/9193800 (13%)] Step: 30.3K | Data (t): 0.278 Batch (t): 1.301, 3251.38/s, 1625.69/s/gpu Logit Scale: 67.954 | Logit Bias: -15.843  | Lambda Scalar: 0.000 | Total_loss: 0.49154 (0.49421) Joint_loss: -24.643 (-24.786) Cross_loss: 2.0145 (1.8931) Image_lambda_loss: 0.43024 (0.39327) Text_lambda_loss: 0.42756 (0.41295) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,14:39:40 | INFO | Train Epoch: 13 [1595980/9193800 (17%)] Step: 30.4K | Data (t): 0.237 Batch (t): 1.244, 3881.51/s, 1940.75/s/gpu Logit Scale: 68.173 | Logit Bias: -15.846  | Lambda Scalar: 0.000 | Total_loss: 0.49188 (0.49375) Joint_loss: -24.921 (-24.813) Cross_loss: 1.8675 (1.8880) Image_lambda_loss: 0.41487 (0.39759) Text_lambda_loss: 0.43468 (0.41729) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,14:41:43 | INFO | Train Epoch: 13 [1993980/9193800 (22%)] Step: 30.5K | Data (t): 0.243 Batch (t): 1.234, 2972.34/s, 1486.17/s/gpu Logit Scale: 68.393 | Logit Bias: -15.850  | Lambda Scalar: 0.000 | Total_loss: 0.48701 (0.49262) Joint_loss: -24.425 (-24.748) Cross_loss: 2.1415 (1.9302) Image_lambda_loss: 0.39522 (0.39720) Text_lambda_loss: 0.42931 (0.41930) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,14:43:49 | INFO | Train Epoch: 13 [2391980/9193800 (26%)] Step: 30.6K | Data (t): 0.268 Batch (t): 1.259, 3501.12/s, 1750.56/s/gpu Logit Scale: 68.614 | Logit Bias: -15.853  | Lambda Scalar: 0.000 | Total_loss: 0.48625 (0.49171) Joint_loss: -24.465 (-24.708) Cross_loss: 2.1575 (1.9627) Image_lambda_loss: 0.42452 (0.40110) Text_lambda_loss: 0.40584 (0.41737) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,14:45:54 | INFO | Train Epoch: 13 [2789980/9193800 (30%)] Step: 30.7K | Data (t): 0.256 Batch (t): 1.247, 3167.68/s, 1583.84/s/gpu Logit Scale: 68.836 | Logit Bias: -15.856  | Lambda Scalar: 0.000 | Total_loss: 0.48522 (0.49090) Joint_loss: -24.560 (-24.689) Cross_loss: 2.1005 (1.9799) Image_lambda_loss: 0.39309 (0.40010) Text_lambda_loss: 0.41527 (0.41711) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,14:47:58 | INFO | Train Epoch: 13 [3187980/9193800 (35%)] Step: 30.8K | Data (t): 0.253 Batch (t): 1.240, 3107.64/s, 1553.82/s/gpu Logit Scale: 69.060 | Logit Bias: -15.860  | Lambda Scalar: 0.000 | Total_loss: 0.48100 (0.48980) Joint_loss: -24.416 (-24.659) Cross_loss: 2.0628 (1.9891) Image_lambda_loss: 0.38261 (0.39816) Text_lambda_loss: 0.36370 (0.41118) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,14:50:03 | INFO | Train Epoch: 13 [3585980/9193800 (39%)] Step: 30.9K | Data (t): 0.267 Batch (t): 1.256, 3337.13/s, 1668.57/s/gpu Logit Scale: 69.282 | Logit Bias: -15.863  | Lambda Scalar: 0.000 | Total_loss: 0.48635 (0.48946) Joint_loss: -25.152 (-24.708) Cross_loss: 1.8020 (1.9704) Image_lambda_loss: 0.37889 (0.39623) Text_lambda_loss: 0.39686 (0.40974) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,14:52:08 | INFO | Train Epoch: 13 [3983980/9193800 (43%)] Step: 31.0K | Data (t): 0.245 Batch (t): 1.247, 3029.77/s, 1514.88/s/gpu Logit Scale: 69.507 | Logit Bias: -15.866  | Lambda Scalar: 0.000 | Total_loss: 0.48233 (0.48881) Joint_loss: -24.825 (-24.719) Cross_loss: 1.9606 (1.9695) Image_lambda_loss: 0.37458 (0.39426) Text_lambda_loss: 0.37685 (0.40675) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,14:54:13 | INFO | Train Epoch: 13 [4381980/9193800 (48%)] Step: 31.1K | Data (t): 0.249 Batch (t): 1.253, 3185.40/s, 1592.70/s/gpu Logit Scale: 69.732 | Logit Bias: -15.870  | Lambda Scalar: 0.000 | Total_loss: 0.47296 (0.48749) Joint_loss: -23.972 (-24.657) Cross_loss: 2.2736 (1.9949) Image_lambda_loss: 0.38389 (0.39340) Text_lambda_loss: 0.44544 (0.40998) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,14:56:19 | INFO | Train Epoch: 13 [4779980/9193800 (52%)] Step: 31.2K | Data (t): 0.253 Batch (t): 1.261, 3410.02/s, 1705.01/s/gpu Logit Scale: 69.958 | Logit Bias: -15.873  | Lambda Scalar: 0.000 | Total_loss: 0.47525 (0.48655) Joint_loss: -24.629 (-24.654) Cross_loss: 1.8828 (1.9863) Image_lambda_loss: 0.39993 (0.39390) Text_lambda_loss: 0.40020 (0.40923) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,14:58:25 | INFO | Train Epoch: 13 [5177980/9193800 (56%)] Step: 31.3K | Data (t): 0.245 Batch (t): 1.257, 3313.77/s, 1656.88/s/gpu Logit Scale: 70.185 | Logit Bias: -15.876  | Lambda Scalar: 0.000 | Total_loss: 0.47727 (0.48588) Joint_loss: -24.899 (-24.672) Cross_loss: 1.8607 (1.9773) Image_lambda_loss: 0.37680 (0.39268) Text_lambda_loss: 0.38574 (0.40755) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,15:00:31 | INFO | Train Epoch: 13 [5575980/9193800 (61%)] Step: 31.4K | Data (t): 0.241 Batch (t): 1.264, 3140.11/s, 1570.05/s/gpu Logit Scale: 70.413 | Logit Bias: -15.880  | Lambda Scalar: 0.000 | Total_loss: 0.47326 (0.48504) Joint_loss: -24.751 (-24.677) Cross_loss: 1.8375 (1.9680) Image_lambda_loss: 0.36992 (0.39116) Text_lambda_loss: 0.38151 (0.40581) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,15:02:37 | INFO | Train Epoch: 13 [5973980/9193800 (65%)] Step: 31.5K | Data (t): 0.248 Batch (t): 1.260, 2987.11/s, 1493.55/s/gpu Logit Scale: 70.642 | Logit Bias: -15.883  | Lambda Scalar: 0.000 | Total_loss: 0.47005 (0.48411) Joint_loss: -24.235 (-24.650) Cross_loss: 2.2369 (1.9848) Image_lambda_loss: 0.36767 (0.38969) Text_lambda_loss: 0.38078 (0.40425) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,15:04:40 | INFO | Train Epoch: 13 [6371980/9193800 (69%)] Step: 31.6K | Data (t): 0.210 Batch (t): 1.221, 3406.24/s, 1703.12/s/gpu Logit Scale: 70.872 | Logit Bias: -15.886  | Lambda Scalar: 0.000 | Total_loss: 0.47140 (0.48336) Joint_loss: -24.797 (-24.658) Cross_loss: 1.8781 (1.9785) Image_lambda_loss: 0.36759 (0.38839) Text_lambda_loss: 0.39270 (0.40357) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,15:06:44 | INFO | Train Epoch: 13 [6769980/9193800 (74%)] Step: 31.7K | Data (t): 0.222 Batch (t): 1.242, 3305.64/s, 1652.82/s/gpu Logit Scale: 71.100 | Logit Bias: -15.890  | Lambda Scalar: 0.000 | Total_loss: 0.47113 (0.48268) Joint_loss: -24.793 (-24.666) Cross_loss: 1.9706 (1.9781) Image_lambda_loss: 0.36632 (0.38717) Text_lambda_loss: 0.39128 (0.40289) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,15:08:49 | INFO | Train Epoch: 13 [7167980/9193800 (78%)] Step: 31.8K | Data (t): 0.262 Batch (t): 1.254, 3254.47/s, 1627.24/s/gpu Logit Scale: 71.331 | Logit Bias: -15.893  | Lambda Scalar: 0.000 | Total_loss: 0.46693 (0.48185) Joint_loss: -24.658 (-24.665) Cross_loss: 1.9170 (1.9748) Image_lambda_loss: 0.39485 (0.38757) Text_lambda_loss: 0.40669 (0.40309) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,15:10:56 | INFO | Train Epoch: 13 [7565980/9193800 (82%)] Step: 31.9K | Data (t): 0.261 Batch (t): 1.266, 2995.03/s, 1497.51/s/gpu Logit Scale: 71.563 | Logit Bias: -15.896  | Lambda Scalar: 0.000 | Total_loss: 0.46574 (0.48104) Joint_loss: -24.572 (-24.661) Cross_loss: 2.0270 (1.9775) Image_lambda_loss: 0.39373 (0.38788) Text_lambda_loss: 0.38520 (0.40219) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,15:13:03 | INFO | Train Epoch: 13 [7963980/9193800 (87%)] Step: 32.0K | Data (t): 0.268 Batch (t): 1.274, 3258.48/s, 1629.24/s/gpu Logit Scale: 71.797 | Logit Bias: -15.900  | Lambda Scalar: 0.000 | Total_loss: 0.46576 (0.48032) Joint_loss: -24.856 (-24.670) Cross_loss: 1.8534 (1.9715) Image_lambda_loss: 0.34946 (0.38605) Text_lambda_loss: 0.34084 (0.39927) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,15:15:02 | INFO | Train Epoch: 13 [8361980/9193800 (91%)] Step: 32.1K | Data (t): 0.126 Batch (t): 1.184, 3523.55/s, 1761.77/s/gpu Logit Scale: 72.029 | Logit Bias: -15.903  | Lambda Scalar: 0.000 | Total_loss: 0.45817 (0.47931) Joint_loss: -24.049 (-24.642) Cross_loss: 2.2247 (1.9831) Image_lambda_loss: 0.41387 (0.38731) Text_lambda_loss: 0.42278 (0.40034) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,15:16:56 | INFO | Train Epoch: 13 [8759980/9193800 (95%)] Step: 32.2K | Data (t): 0.093 Batch (t): 1.149, 3325.11/s, 1662.55/s/gpu Logit Scale: 72.263 | Logit Bias: -15.906  | Lambda Scalar: 0.000 | Total_loss: 0.45471 (0.47824) Joint_loss: -23.914 (-24.610) Cross_loss: 2.2186 (1.9933) Image_lambda_loss: 0.44275 (0.38972) Text_lambda_loss: 0.44575 (0.40231) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,15:18:58 | INFO | Train Epoch: 13 [9157980/9193800 (100%)] Step: 32.3K | Data (t): 0.208 Batch (t): 1.217, 3040.91/s, 1520.46/s/gpu Logit Scale: 72.498 | Logit Bias: -15.910  | Lambda Scalar: 0.000 | Total_loss: 0.45354 (0.47721) Joint_loss: -24.091 (-24.588) Cross_loss: 2.0638 (1.9962) Image_lambda_loss: 0.40066 (0.39018) Text_lambda_loss: 0.40278 (0.40233) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,15:19:09 | INFO | Train Epoch: 13 [9193800/9193800 (100%)] Step: 32.3K | Data (t): 0.234 Batch (t): 1.224, 3340.13/s, 1670.06/s/gpu Logit Scale: 72.519 | Logit Bias: -15.910  | Lambda Scalar: 0.000 | Total_loss: 0.45566 (0.47635) Joint_loss: -24.244 (-24.575) Cross_loss: 2.0739 (1.9993) Image_lambda_loss: 0.41193 (0.39105) Text_lambda_loss: 0.42264 (0.40314) | L_updates: 9 | z_beta: 0.7325878449210181, model_beta: 0.9992 | 
2025-01-24,15:19:09 | INFO | Starting zero-shot imagenet.
2025-01-24,15:19:09 | INFO | Building zero-shot classifier
2025-01-24,15:19:16 | INFO | Using classifier
2025-01-24,15:20:19 | INFO | Finished zero-shot imagenet.
2025-01-24,15:20:27 | INFO | Eval Epoch: 14 [1990 / 205824]	Clip Loss: 1.783130	
2025-01-24,15:21:00 | INFO | Eval Epoch: 14 imagenet-zeroshot-val-top1: 0.2044	imagenet-zeroshot-val-top5: 0.4311	image_to_text_mean_rank: 40.7408	image_to_text_median_rank: 2.0000	image_to_text_R@1: 0.4237	image_to_text_R@5: 0.6715	image_to_text_R@10: 0.7592	text_to_image_mean_rank: 48.8439	text_to_image_median_rank: 2.0000	text_to_image_R@1: 0.4298	text_to_image_R@5: 0.6768	text_to_image_R@10: 0.7575	clip_val_loss: 1.6745	epoch: 14.0000	num_samples: 8678.0000
2025-01-24,15:21:01 | INFO | Start epoch 14
2025-01-24,15:21:12 | INFO | Train Epoch: 14 [   3980/9193800 (0%)] Step: 32.3K | Data (t): 9.137 Batch (t): 10.058, 395.709/s, 197.854/s/gpu Logit Scale: 72.521 | Logit Bias: -15.910  | Lambda Scalar: 0.000 | Total_loss: 0.45497 (0.45497) Joint_loss: -24.239 (-24.239) Cross_loss: 2.0299 (2.0299) Image_lambda_loss: 0.39389 (0.39389) Text_lambda_loss: 0.41645 (0.41645) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:23:17 | INFO | Train Epoch: 14 [ 401980/9193800 (4%)] Step: 32.4K | Data (t): 0.193 Batch (t): 1.255, 3177.90/s, 1588.95/s/gpu Logit Scale: 72.754 | Logit Bias: -15.913  | Lambda Scalar: 0.000 | Total_loss: 0.45018 (0.45257) Joint_loss: -23.988 (-24.114) Cross_loss: 2.0409 (2.0354) Image_lambda_loss: 0.40615 (0.40002) Text_lambda_loss: 0.44981 (0.43313) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:25:24 | INFO | Train Epoch: 14 [ 799980/9193800 (9%)] Step: 32.5K | Data (t): 0.258 Batch (t): 1.269, 3202.54/s, 1601.27/s/gpu Logit Scale: 72.985 | Logit Bias: -15.917  | Lambda Scalar: 0.000 | Total_loss: 0.45096 (0.45203) Joint_loss: -24.056 (-24.094) Cross_loss: 2.1336 (2.0681) Image_lambda_loss: 0.46040 (0.42014) Text_lambda_loss: 0.43159 (0.43261) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:27:29 | INFO | Train Epoch: 14 [1197980/9193800 (13%)] Step: 32.6K | Data (t): 0.240 Batch (t): 1.253, 3477.26/s, 1738.63/s/gpu Logit Scale: 73.219 | Logit Bias: -15.920  | Lambda Scalar: 0.000 | Total_loss: 0.44922 (0.45133) Joint_loss: -24.113 (-24.099) Cross_loss: 2.0553 (2.0649) Image_lambda_loss: 0.41376 (0.41855) Text_lambda_loss: 0.40859 (0.42661) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:29:33 | INFO | Train Epoch: 14 [1595980/9193800 (17%)] Step: 32.7K | Data (t): 0.229 Batch (t): 1.239, 3070.26/s, 1535.13/s/gpu Logit Scale: 73.455 | Logit Bias: -15.923  | Lambda Scalar: 0.000 | Total_loss: 0.45158 (0.45138) Joint_loss: -24.445 (-24.168) Cross_loss: 2.0014 (2.0522) Image_lambda_loss: 0.38849 (0.41254) Text_lambda_loss: 0.38920 (0.41913) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:31:37 | INFO | Train Epoch: 14 [1993980/9193800 (22%)] Step: 32.8K | Data (t): 0.234 Batch (t): 1.239, 3171.95/s, 1585.97/s/gpu Logit Scale: 73.691 | Logit Bias: -15.927  | Lambda Scalar: 0.000 | Total_loss: 0.44721 (0.45069) Joint_loss: -24.030 (-24.145) Cross_loss: 2.2040 (2.0775) Image_lambda_loss: 0.39021 (0.40882) Text_lambda_loss: 0.40436 (0.41667) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:33:43 | INFO | Train Epoch: 14 [2391980/9193800 (26%)] Step: 32.9K | Data (t): 0.254 Batch (t): 1.262, 3282.24/s, 1641.12/s/gpu Logit Scale: 73.929 | Logit Bias: -15.930  | Lambda Scalar: 0.000 | Total_loss: 0.44393 (0.44972) Joint_loss: -23.921 (-24.113) Cross_loss: 2.1786 (2.0920) Image_lambda_loss: 0.38789 (0.40583) Text_lambda_loss: 0.37866 (0.41124) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:35:50 | INFO | Train Epoch: 14 [2789980/9193800 (30%)] Step: 33.0K | Data (t): 0.263 Batch (t): 1.268, 2972.66/s, 1486.33/s/gpu Logit Scale: 74.168 | Logit Bias: -15.933  | Lambda Scalar: 0.000 | Total_loss: 0.44787 (0.44949) Joint_loss: -24.505 (-24.162) Cross_loss: 1.9899 (2.0792) Image_lambda_loss: 0.38711 (0.40349) Text_lambda_loss: 0.40417 (0.41035) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:37:54 | INFO | Train Epoch: 14 [3187980/9193800 (35%)] Step: 33.1K | Data (t): 0.241 Batch (t): 1.243, 2908.37/s, 1454.19/s/gpu Logit Scale: 74.408 | Logit Bias: -15.937  | Lambda Scalar: 0.000 | Total_loss: 0.44551 (0.44905) Joint_loss: -24.692 (-24.221) Cross_loss: 1.7358 (2.0410) Image_lambda_loss: 0.37602 (0.40044) Text_lambda_loss: 0.42258 (0.41171) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:40:00 | INFO | Train Epoch: 14 [3585980/9193800 (39%)] Step: 33.2K | Data (t): 0.240 Batch (t): 1.251, 3577.78/s, 1788.89/s/gpu Logit Scale: 74.649 | Logit Bias: -15.940  | Lambda Scalar: 0.000 | Total_loss: 0.44380 (0.44852) Joint_loss: -24.315 (-24.230) Cross_loss: 2.0940 (2.0463) Image_lambda_loss: 0.40464 (0.40086) Text_lambda_loss: 0.40124 (0.41066) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:42:05 | INFO | Train Epoch: 14 [3983980/9193800 (43%)] Step: 33.3K | Data (t): 0.253 Batch (t): 1.254, 3248.90/s, 1624.45/s/gpu Logit Scale: 74.893 | Logit Bias: -15.943  | Lambda Scalar: 0.000 | Total_loss: 0.44367 (0.44808) Joint_loss: -24.451 (-24.250) Cross_loss: 2.0570 (2.0473) Image_lambda_loss: 0.40441 (0.40118) Text_lambda_loss: 0.41473 (0.41103) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:44:09 | INFO | Train Epoch: 14 [4381980/9193800 (48%)] Step: 33.4K | Data (t): 0.247 Batch (t): 1.240, 3139.92/s, 1569.96/s/gpu Logit Scale: 75.136 | Logit Bias: -15.947  | Lambda Scalar: 0.000 | Total_loss: 0.44017 (0.44742) Joint_loss: -24.140 (-24.241) Cross_loss: 2.2139 (2.0612) Image_lambda_loss: 0.40495 (0.40149) Text_lambda_loss: 0.40436 (0.41048) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:46:12 | INFO | Train Epoch: 14 [4779980/9193800 (52%)] Step: 33.5K | Data (t): 0.238 Batch (t): 1.229, 3456.39/s, 1728.20/s/gpu Logit Scale: 75.379 | Logit Bias: -15.950  | Lambda Scalar: 0.000 | Total_loss: 0.43607 (0.44655) Joint_loss: -24.069 (-24.228) Cross_loss: 2.0851 (2.0630) Image_lambda_loss: 0.40104 (0.40146) Text_lambda_loss: 0.38830 (0.40877) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:48:15 | INFO | Train Epoch: 14 [5177980/9193800 (56%)] Step: 33.6K | Data (t): 0.240 Batch (t): 1.232, 3248.55/s, 1624.27/s/gpu Logit Scale: 75.621 | Logit Bias: -15.953  | Lambda Scalar: 0.000 | Total_loss: 0.44040 (0.44611) Joint_loss: -24.826 (-24.271) Cross_loss: 1.7595 (2.0414) Image_lambda_loss: 0.34984 (0.39777) Text_lambda_loss: 0.38999 (0.40743) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:50:20 | INFO | Train Epoch: 14 [5575980/9193800 (61%)] Step: 33.7K | Data (t): 0.248 Batch (t): 1.248, 3245.44/s, 1622.72/s/gpu Logit Scale: 75.867 | Logit Bias: -15.957  | Lambda Scalar: 0.000 | Total_loss: 0.43371 (0.44528) Joint_loss: -24.180 (-24.265) Cross_loss: 2.0087 (2.0392) Image_lambda_loss: 0.41087 (0.39864) Text_lambda_loss: 0.39426 (0.40655) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:52:26 | INFO | Train Epoch: 14 [5973980/9193800 (65%)] Step: 33.8K | Data (t): 0.258 Batch (t): 1.261, 3301.00/s, 1650.50/s/gpu Logit Scale: 76.114 | Logit Bias: -15.960  | Lambda Scalar: 0.000 | Total_loss: 0.43327 (0.44453) Joint_loss: -24.227 (-24.262) Cross_loss: 2.0359 (2.0390) Image_lambda_loss: 0.42768 (0.40046) Text_lambda_loss: 0.39502 (0.40583) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:54:30 | INFO | Train Epoch: 14 [6371980/9193800 (69%)] Step: 33.9K | Data (t): 0.247 Batch (t): 1.239, 3387.18/s, 1693.59/s/gpu Logit Scale: 76.362 | Logit Bias: -15.963  | Lambda Scalar: 0.000 | Total_loss: 0.43245 (0.44382) Joint_loss: -24.334 (-24.266) Cross_loss: 1.9741 (2.0352) Image_lambda_loss: 0.40212 (0.40056) Text_lambda_loss: 0.40075 (0.40553) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:56:34 | INFO | Train Epoch: 14 [6769980/9193800 (74%)] Step: 34.0K | Data (t): 0.243 Batch (t): 1.242, 3138.31/s, 1569.16/s/gpu Logit Scale: 76.612 | Logit Bias: -15.967  | Lambda Scalar: 0.000 | Total_loss: 0.43312 (0.44323) Joint_loss: -24.514 (-24.280) Cross_loss: 1.9531 (2.0306) Image_lambda_loss: 0.41755 (0.40150) Text_lambda_loss: 0.41566 (0.40610) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,15:58:37 | INFO | Train Epoch: 14 [7167980/9193800 (78%)] Step: 34.1K | Data (t): 0.241 Batch (t): 1.228, 3396.39/s, 1698.20/s/gpu Logit Scale: 76.860 | Logit Bias: -15.970  | Lambda Scalar: 0.000 | Total_loss: 0.43164 (0.44262) Joint_loss: -24.519 (-24.293) Cross_loss: 1.9417 (2.0259) Image_lambda_loss: 0.35509 (0.39906) Text_lambda_loss: 0.37725 (0.40458) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,16:00:42 | INFO | Train Epoch: 14 [7565980/9193800 (82%)] Step: 34.2K | Data (t): 0.248 Batch (t): 1.248, 3258.35/s, 1629.17/s/gpu Logit Scale: 77.109 | Logit Bias: -15.973  | Lambda Scalar: 0.000 | Total_loss: 0.42846 (0.44191) Joint_loss: -24.220 (-24.289) Cross_loss: 2.1061 (2.0299) Image_lambda_loss: 0.36809 (0.39751) Text_lambda_loss: 0.37468 (0.40308) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,16:02:46 | INFO | Train Epoch: 14 [7963980/9193800 (87%)] Step: 34.3K | Data (t): 0.247 Batch (t): 1.243, 3386.78/s, 1693.39/s/gpu Logit Scale: 77.361 | Logit Bias: -15.977  | Lambda Scalar: 0.000 | Total_loss: 0.42422 (0.44107) Joint_loss: -23.868 (-24.269) Cross_loss: 2.2389 (2.0399) Image_lambda_loss: 0.38962 (0.39713) Text_lambda_loss: 0.38578 (0.40226) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,16:04:41 | INFO | Train Epoch: 14 [8361980/9193800 (91%)] Step: 34.4K | Data (t): 0.163 Batch (t): 1.151, 3261.57/s, 1630.78/s/gpu Logit Scale: 77.611 | Logit Bias: -15.980  | Lambda Scalar: 0.000 | Total_loss: 0.42038 (0.44013) Joint_loss: -23.698 (-24.243) Cross_loss: 2.2193 (2.0480) Image_lambda_loss: 0.45416 (0.39973) Text_lambda_loss: 0.45436 (0.40463) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,16:06:36 | INFO | Train Epoch: 14 [8759980/9193800 (95%)] Step: 34.5K | Data (t): 0.139 Batch (t): 1.153, 4041.52/s, 2020.76/s/gpu Logit Scale: 77.861 | Logit Bias: -15.983  | Lambda Scalar: 0.000 | Total_loss: 0.41720 (0.43913) Joint_loss: -23.566 (-24.214) Cross_loss: 2.2099 (2.0551) Image_lambda_loss: 0.41122 (0.40023) Text_lambda_loss: 0.44635 (0.40644) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,16:08:35 | INFO | Train Epoch: 14 [9157980/9193800 (100%)] Step: 34.6K | Data (t): 0.149 Batch (t): 1.183, 3294.33/s, 1647.17/s/gpu Logit Scale: 78.112 | Logit Bias: -15.987  | Lambda Scalar: 0.000 | Total_loss: 0.41996 (0.43833) Joint_loss: -24.164 (-24.212) Cross_loss: 1.9318 (2.0499) Image_lambda_loss: 0.39342 (0.39994) Text_lambda_loss: 0.40677 (0.40645) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,16:08:46 | INFO | Train Epoch: 14 [9193800/9193800 (100%)] Step: 34.6K | Data (t): 0.208 Batch (t): 1.235, 3112.56/s, 1556.28/s/gpu Logit Scale: 78.135 | Logit Bias: -15.987  | Lambda Scalar: 0.000 | Total_loss: 0.41859 (0.43754) Joint_loss: -23.798 (-24.195) Cross_loss: 2.2002 (2.0560) Image_lambda_loss: 0.44150 (0.40161) Text_lambda_loss: 0.43070 (0.40742) | L_updates: 9 | z_beta: 0.7695518130045147, model_beta: 0.9992 | 
2025-01-24,16:08:46 | INFO | Starting zero-shot imagenet.
2025-01-24,16:08:46 | INFO | Building zero-shot classifier
2025-01-24,16:08:53 | INFO | Using classifier
2025-01-24,16:09:56 | INFO | Finished zero-shot imagenet.
2025-01-24,16:10:05 | INFO | Eval Epoch: 15 [1990 / 205824]	Clip Loss: 1.771721	
2025-01-24,16:10:36 | INFO | Eval Epoch: 15 imagenet-zeroshot-val-top1: 0.2076	imagenet-zeroshot-val-top5: 0.4303	image_to_text_mean_rank: 42.2496	image_to_text_median_rank: 2.0000	image_to_text_R@1: 0.4354	image_to_text_R@5: 0.6761	image_to_text_R@10: 0.7587	text_to_image_mean_rank: 50.6642	text_to_image_median_rank: 2.0000	text_to_image_R@1: 0.4380	text_to_image_R@5: 0.6746	text_to_image_R@10: 0.7565	clip_val_loss: 1.6678	epoch: 15.0000	num_samples: 8678.0000
2025-01-24,16:10:38 | INFO | Start epoch 15
2025-01-24,16:10:48 | INFO | Train Epoch: 15 [   3980/9193800 (0%)] Step: 34.6K | Data (t): 9.073 Batch (t): 10.039, 396.442/s, 198.221/s/gpu Logit Scale: 78.138 | Logit Bias: -15.987  | Lambda Scalar: 0.000 | Total_loss: 0.41336 (0.41336) Joint_loss: -22.849 (-22.849) Cross_loss: 2.7439 (2.7439) Image_lambda_loss: 0.44175 (0.44175) Text_lambda_loss: 0.44853 (0.44853) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:12:55 | INFO | Train Epoch: 15 [ 401980/9193800 (4%)] Step: 34.8K | Data (t): 0.216 Batch (t): 1.270, 3093.85/s, 1546.93/s/gpu Logit Scale: 78.378 | Logit Bias: -15.990  | Lambda Scalar: 0.000 | Total_loss: 0.41893 (0.41614) Joint_loss: -24.324 (-23.587) Cross_loss: 1.8025 (2.2732) Image_lambda_loss: 0.44142 (0.44159) Text_lambda_loss: 0.45236 (0.45044) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:15:02 | INFO | Train Epoch: 15 [ 799980/9193800 (9%)] Step: 34.9K | Data (t): 0.256 Batch (t): 1.263, 3129.50/s, 1564.75/s/gpu Logit Scale: 78.629 | Logit Bias: -15.994  | Lambda Scalar: 0.000 | Total_loss: 0.41274 (0.41501) Joint_loss: -23.551 (-23.575) Cross_loss: 2.1975 (2.2479) Image_lambda_loss: 0.44523 (0.44280) Text_lambda_loss: 0.46058 (0.45382) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:17:07 | INFO | Train Epoch: 15 [1197980/9193800 (13%)] Step: 35.0K | Data (t): 0.253 Batch (t): 1.258, 3249.99/s, 1624.99/s/gpu Logit Scale: 78.883 | Logit Bias: -15.997  | Lambda Scalar: 0.000 | Total_loss: 0.41482 (0.41496) Joint_loss: -24.002 (-23.681) Cross_loss: 2.0146 (2.1896) Image_lambda_loss: 0.46524 (0.44841) Text_lambda_loss: 0.43520 (0.44917) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:19:13 | INFO | Train Epoch: 15 [1595980/9193800 (17%)] Step: 35.0K | Data (t): 0.246 Batch (t): 1.252, 3150.73/s, 1575.37/s/gpu Logit Scale: 79.136 | Logit Bias: -16.000  | Lambda Scalar: 0.000 | Total_loss: 0.41369 (0.41471) Joint_loss: -24.076 (-23.760) Cross_loss: 1.9559 (2.1428) Image_lambda_loss: 0.41841 (0.44241) Text_lambda_loss: 0.40887 (0.44111) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:21:16 | INFO | Train Epoch: 15 [1993980/9193800 (22%)] Step: 35.1K | Data (t): 0.240 Batch (t): 1.236, 3126.84/s, 1563.42/s/gpu Logit Scale: 79.391 | Logit Bias: -16.004  | Lambda Scalar: 0.000 | Total_loss: 0.41255 (0.41435) Joint_loss: -24.088 (-23.815) Cross_loss: 1.9602 (2.1124) Image_lambda_loss: 0.46428 (0.44605) Text_lambda_loss: 0.44998 (0.44259) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:23:21 | INFO | Train Epoch: 15 [2391980/9193800 (26%)] Step: 35.2K | Data (t): 0.251 Batch (t): 1.247, 3273.03/s, 1636.51/s/gpu Logit Scale: 79.646 | Logit Bias: -16.007  | Lambda Scalar: 0.000 | Total_loss: 0.41363 (0.41424) Joint_loss: -24.472 (-23.909) Cross_loss: 1.7660 (2.0629) Image_lambda_loss: 0.40927 (0.44080) Text_lambda_loss: 0.42692 (0.44035) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:25:29 | INFO | Train Epoch: 15 [2789980/9193800 (30%)] Step: 35.4K | Data (t): 0.251 Batch (t): 1.285, 3187.75/s, 1593.87/s/gpu Logit Scale: 79.902 | Logit Bias: -16.010  | Lambda Scalar: 0.000 | Total_loss: 0.41036 (0.41376) Joint_loss: -23.860 (-23.903) Cross_loss: 2.2251 (2.0832) Image_lambda_loss: 0.42714 (0.43909) Text_lambda_loss: 0.41488 (0.43716) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:27:34 | INFO | Train Epoch: 15 [3187980/9193800 (35%)] Step: 35.5K | Data (t): 0.241 Batch (t): 1.245, 3005.61/s, 1502.80/s/gpu Logit Scale: 80.161 | Logit Bias: -16.014  | Lambda Scalar: 0.000 | Total_loss: 0.41053 (0.41340) Joint_loss: -24.329 (-23.950) Cross_loss: 1.8755 (2.0601) Image_lambda_loss: 0.42478 (0.43750) Text_lambda_loss: 0.41358 (0.43454) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:29:40 | INFO | Train Epoch: 15 [3585980/9193800 (39%)] Step: 35.5K | Data (t): 0.246 Batch (t): 1.262, 3343.00/s, 1671.50/s/gpu Logit Scale: 80.421 | Logit Bias: -16.017  | Lambda Scalar: 0.000 | Total_loss: 0.40819 (0.41288) Joint_loss: -23.905 (-23.945) Cross_loss: 2.2189 (2.0760) Image_lambda_loss: 0.42513 (0.43626) Text_lambda_loss: 0.42045 (0.43313) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:31:45 | INFO | Train Epoch: 15 [3983980/9193800 (43%)] Step: 35.6K | Data (t): 0.258 Batch (t): 1.253, 3042.57/s, 1521.28/s/gpu Logit Scale: 80.678 | Logit Bias: -16.020  | Lambda Scalar: 0.000 | Total_loss: 0.40755 (0.41239) Joint_loss: -24.275 (-23.975) Cross_loss: 1.9030 (2.0603) Image_lambda_loss: 0.46776 (0.43913) Text_lambda_loss: 0.45631 (0.43524) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:33:50 | INFO | Train Epoch: 15 [4381980/9193800 (48%)] Step: 35.8K | Data (t): 0.241 Batch (t): 1.243, 3122.82/s, 1561.41/s/gpu Logit Scale: 80.939 | Logit Bias: -16.023  | Lambda Scalar: 0.000 | Total_loss: 0.40508 (0.41178) Joint_loss: -24.163 (-23.991) Cross_loss: 1.9220 (2.0487) Image_lambda_loss: 0.41439 (0.43707) Text_lambda_loss: 0.42681 (0.43454) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:35:53 | INFO | Train Epoch: 15 [4779980/9193800 (52%)] Step: 35.9K | Data (t): 0.240 Batch (t): 1.229, 3474.99/s, 1737.50/s/gpu Logit Scale: 81.203 | Logit Bias: -16.027  | Lambda Scalar: 0.000 | Total_loss: 0.40357 (0.41115) Joint_loss: -23.965 (-23.989) Cross_loss: 2.1054 (2.0531) Image_lambda_loss: 0.43207 (0.43668) Text_lambda_loss: 0.42925 (0.43413) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:37:54 | INFO | Train Epoch: 15 [5177980/9193800 (56%)] Step: 36.0K | Data (t): 0.235 Batch (t): 1.218, 3052.91/s, 1526.45/s/gpu Logit Scale: 81.468 | Logit Bias: -16.030  | Lambda Scalar: 0.000 | Total_loss: 0.40336 (0.41060) Joint_loss: -24.423 (-24.020) Cross_loss: 1.7375 (2.0306) Image_lambda_loss: 0.37796 (0.43249) Text_lambda_loss: 0.38308 (0.43048) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:40:00 | INFO | Train Epoch: 15 [5575980/9193800 (61%)] Step: 36.0K | Data (t): 0.244 Batch (t): 1.258, 3126.59/s, 1563.29/s/gpu Logit Scale: 81.734 | Logit Bias: -16.033  | Lambda Scalar: 0.000 | Total_loss: 0.39905 (0.40983) Joint_loss: -23.753 (-24.002) Cross_loss: 2.1644 (2.0395) Image_lambda_loss: 0.43115 (0.43240) Text_lambda_loss: 0.40722 (0.42893) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:42:06 | INFO | Train Epoch: 15 [5973980/9193800 (65%)] Step: 36.1K | Data (t): 0.235 Batch (t): 1.261, 3256.93/s, 1628.47/s/gpu Logit Scale: 82.001 | Logit Bias: -16.036  | Lambda Scalar: 0.000 | Total_loss: 0.39848 (0.40912) Joint_loss: -23.897 (-23.996) Cross_loss: 2.0801 (2.0420) Image_lambda_loss: 0.39512 (0.43007) Text_lambda_loss: 0.39841 (0.42703) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:44:11 | INFO | Train Epoch: 15 [6371980/9193800 (69%)] Step: 36.2K | Data (t): 0.234 Batch (t): 1.245, 3219.18/s, 1609.59/s/gpu Logit Scale: 82.267 | Logit Bias: -16.040  | Lambda Scalar: 0.000 | Total_loss: 0.39734 (0.40842) Joint_loss: -24.039 (-23.998) Cross_loss: 1.9511 (2.0367) Image_lambda_loss: 0.42103 (0.42954) Text_lambda_loss: 0.42734 (0.42704) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:46:16 | INFO | Train Epoch: 15 [6769980/9193800 (74%)] Step: 36.4K | Data (t): 0.237 Batch (t): 1.249, 3245.22/s, 1622.61/s/gpu Logit Scale: 82.536 | Logit Bias: -16.043  | Lambda Scalar: 0.000 | Total_loss: 0.39777 (0.40783) Joint_loss: -24.062 (-24.002) Cross_loss: 2.0712 (2.0386) Image_lambda_loss: 0.37839 (0.42670) Text_lambda_loss: 0.40861 (0.42602) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:48:19 | INFO | Train Epoch: 15 [7167980/9193800 (78%)] Step: 36.5K | Data (t): 0.238 Batch (t): 1.233, 3371.46/s, 1685.73/s/gpu Logit Scale: 82.804 | Logit Bias: -16.046  | Lambda Scalar: 0.000 | Total_loss: 0.39542 (0.40718) Joint_loss: -23.982 (-24.001) Cross_loss: 2.0633 (2.0399) Image_lambda_loss: 0.37708 (0.42409) Text_lambda_loss: 0.40125 (0.42472) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:50:24 | INFO | Train Epoch: 15 [7565980/9193800 (82%)] Step: 36.5K | Data (t): 0.251 Batch (t): 1.254, 3383.95/s, 1691.97/s/gpu Logit Scale: 83.074 | Logit Bias: -16.049  | Lambda Scalar: 0.000 | Total_loss: 0.39442 (0.40654) Joint_loss: -23.799 (-23.991) Cross_loss: 2.2714 (2.0515) Image_lambda_loss: 0.41651 (0.42371) Text_lambda_loss: 0.45037 (0.42600) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:52:28 | INFO | Train Epoch: 15 [7963980/9193800 (87%)] Step: 36.6K | Data (t): 0.228 Batch (t): 1.233, 3163.35/s, 1581.68/s/gpu Logit Scale: 83.343 | Logit Bias: -16.053  | Lambda Scalar: 0.000 | Total_loss: 0.39236 (0.40587) Joint_loss: -23.700 (-23.977) Cross_loss: 2.3059 (2.0636) Image_lambda_loss: 0.40383 (0.42276) Text_lambda_loss: 0.37147 (0.42340) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:54:24 | INFO | Train Epoch: 15 [8361980/9193800 (91%)] Step: 36.8K | Data (t): 0.105 Batch (t): 1.160, 3614.12/s, 1807.06/s/gpu Logit Scale: 83.613 | Logit Bias: -16.056  | Lambda Scalar: 0.000 | Total_loss: 0.38826 (0.40507) Joint_loss: -23.645 (-23.962) Cross_loss: 2.1258 (2.0664) Image_lambda_loss: 0.43194 (0.42318) Text_lambda_loss: 0.43662 (0.42400) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:56:21 | INFO | Train Epoch: 15 [8759980/9193800 (95%)] Step: 36.9K | Data (t): 0.093 Batch (t): 1.172, 3307.37/s, 1653.68/s/gpu Logit Scale: 83.885 | Logit Bias: -16.059  | Lambda Scalar: 0.000 | Total_loss: 0.38695 (0.40428) Joint_loss: -23.684 (-23.950) Cross_loss: 2.0827 (2.0671) Image_lambda_loss: 0.42983 (0.42347) Text_lambda_loss: 0.44382 (0.42486) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:58:27 | INFO | Train Epoch: 15 [9157980/9193800 (100%)] Step: 37.0K | Data (t): 0.222 Batch (t): 1.263, 2980.76/s, 1490.38/s/gpu Logit Scale: 84.159 | Logit Bias: -16.062  | Lambda Scalar: 0.000 | Total_loss: 0.38763 (0.40358) Joint_loss: -24.056 (-23.954) Cross_loss: 1.8734 (2.0590) Image_lambda_loss: 0.42789 (0.42365) Text_lambda_loss: 0.45565 (0.42615) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:58:39 | INFO | Train Epoch: 15 [9193800/9193800 (100%)] Step: 37.0K | Data (t): 0.218 Batch (t): 1.294, 3083.01/s, 1541.50/s/gpu Logit Scale: 84.183 | Logit Bias: -16.063  | Lambda Scalar: 0.000 | Total_loss: 0.38493 (0.40284) Joint_loss: -23.676 (-23.943) Cross_loss: 2.0376 (2.0582) Image_lambda_loss: 0.47279 (0.42562) Text_lambda_loss: 0.47074 (0.42793) | L_updates: 9 | z_beta: 0.7923141121612922, model_beta: 0.9992 | 
2025-01-24,16:58:39 | INFO | Starting zero-shot imagenet.
2025-01-24,16:58:39 | INFO | Building zero-shot classifier
2025-01-24,16:58:46 | INFO | Using classifier
2025-01-24,16:59:51 | INFO | Finished zero-shot imagenet.
2025-01-24,16:59:59 | INFO | Eval Epoch: 16 [1990 / 205824]	Clip Loss: 1.751354	
2025-01-24,17:00:30 | INFO | Eval Epoch: 16 imagenet-zeroshot-val-top1: 0.2070	imagenet-zeroshot-val-top5: 0.4325	image_to_text_mean_rank: 40.4317	image_to_text_median_rank: 2.0000	image_to_text_R@1: 0.4426	image_to_text_R@5: 0.6853	image_to_text_R@10: 0.7633	text_to_image_mean_rank: 48.6487	text_to_image_median_rank: 2.0000	text_to_image_R@1: 0.4423	text_to_image_R@5: 0.6852	text_to_image_R@10: 0.7626	clip_val_loss: 1.6331	epoch: 16.0000	num_samples: 8678.0000
2025-01-24,17:00:32 | INFO | Start epoch 16
2025-01-24,17:00:42 | INFO | Train Epoch: 16 [   3980/9193800 (0%)] Step: 37.0K | Data (t): 9.139 Batch (t): 10.053, 395.910/s, 197.955/s/gpu Logit Scale: 84.186 | Logit Bias: -16.063  | Lambda Scalar: 0.000 | Total_loss: 0.38633 (0.38633) Joint_loss: -23.783 (-23.783) Cross_loss: 2.0487 (2.0487) Image_lambda_loss: 0.46004 (0.46004) Text_lambda_loss: 0.49460 (0.49460) | L_updates: 9 | z_beta: 0.8, model_beta: 0.9992 |