| 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/fit_w_prev-bias-10.0sample-negFalse-scaleTrue-pos1.0-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_only | |
| 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: True | |
| 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: -10.0 | |
| 2025-01-24,03:20:47 | INFO | init_logit_scale: None | |
| 2025-01-24,03:20:47 | INFO | lambda_eps: 1e-07 | |
| 2025-01-24,03:20:47 | INFO | lambda_lr: 0.001 | |
| 2025-01-24,03:20:47 | INFO | lambda_tolerance: 0.005 | |
| 2025-01-24,03:20:47 | INFO | lambda_update_frequency: [5] | |
| 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/fit_w_prev-bias-10.0sample-negFalse-scaleTrue-pos1.0-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: 0.99 | |
| 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: fit_w_prev-bias-10.0sample-negFalse-scaleTrue-pos1.0-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: fit_w_prev | |
| 2025-01-24,03:20:47 | INFO | pos_coef: 1.0 | |
| 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): 8.930 Batch (t): 16.496, 241.265/s, 120.633/s/gpu Logit Scale: 14.286 | Logit Bias: -10.000 | Lambda Scalar: 0.000 | Total_loss: 0.55155 (0.55155) Joint_loss: -0.85244 (-0.85244) Cross_loss: 0.26039 (0.26039) Image_lambda_loss: 1.8181 (1.8181) Text_lambda_loss: 1.1382 (1.1382) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:23:32 | INFO | Train Epoch: 0 [ 401980/9193800 (4%)] Step: 0.1K | Data (t): 0.215 Batch (t): 1.446, 3542.96/s, 1771.48/s/gpu Logit Scale: 14.445 | Logit Bias: -10.011 | Lambda Scalar: 0.000 | Total_loss: 0.34006 (0.44581) Joint_loss: 3.7541 (1.4508) Cross_loss: 2.0019 (1.1311) Image_lambda_loss: 0.0025825 (0.91035) Text_lambda_loss: 0.0074283 (0.57283) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:25:43 | INFO | Train Epoch: 0 [ 799980/9193800 (9%)] Step: 0.2K | Data (t): 0.308 Batch (t): 1.305, 2895.97/s, 1447.99/s/gpu Logit Scale: 14.595 | Logit Bias: -10.021 | Lambda Scalar: 0.000 | Total_loss: 0.31701 (0.40288) Joint_loss: 4.0428 (2.3148) Cross_loss: 2.0162 (1.4262) Image_lambda_loss: 0.0023034 (0.60767) Text_lambda_loss: 0.0091095 (0.38492) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:27:56 | INFO | Train Epoch: 0 [1197980/9193800 (13%)] Step: 0.3K | Data (t): 0.326 Batch (t): 1.338, 2795.44/s, 1397.72/s/gpu Logit Scale: 14.733 | Logit Bias: -10.031 | Lambda Scalar: 0.000 | Total_loss: 0.28585 (0.37362) Joint_loss: 4.3796 (2.8310) Cross_loss: 1.9530 (1.5579) Image_lambda_loss: 0.0031486 (0.45654) Text_lambda_loss: 0.0079012 (0.29067) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:30:12 | INFO | Train Epoch: 0 [1595980/9193800 (17%)] Step: 0.4K | Data (t): 0.341 Batch (t): 1.355, 2974.42/s, 1487.21/s/gpu Logit Scale: 14.863 | Logit Bias: -10.040 | Lambda Scalar: 0.000 | Total_loss: 0.25895 (0.35069) Joint_loss: 4.9935 (3.2635) Cross_loss: 2.2171 (1.6897) Image_lambda_loss: 0.0041856 (0.36607) Text_lambda_loss: 0.0065573 (0.23384) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:32:26 | INFO | Train Epoch: 0 [1993980/9193800 (22%)] Step: 0.5K | Data (t): 0.334 Batch (t): 1.341, 2765.94/s, 1382.97/s/gpu Logit Scale: 15.006 | Logit Bias: -10.049 | Lambda Scalar: 0.000 | Total_loss: 0.23858 (0.33200) Joint_loss: 5.1691 (3.5811) Cross_loss: 2.1337 (1.7637) Image_lambda_loss: 0.0068020 (0.30619) Text_lambda_loss: 0.0063653 (0.19593) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:34:40 | INFO | Train Epoch: 0 [2391980/9193800 (26%)] Step: 0.6K | Data (t): 0.331 Batch (t): 1.338, 3117.59/s, 1558.80/s/gpu Logit Scale: 15.143 | Logit Bias: -10.058 | Lambda Scalar: 0.000 | Total_loss: 0.22234 (0.31633) Joint_loss: 5.1420 (3.8041) Cross_loss: 1.9013 (1.7834) Image_lambda_loss: 0.0070793 (0.26346) Text_lambda_loss: 0.0055834 (0.16874) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:36:54 | INFO | Train Epoch: 0 [2789980/9193800 (30%)] Step: 0.7K | Data (t): 0.334 Batch (t): 1.338, 2738.44/s, 1369.22/s/gpu Logit Scale: 15.293 | Logit Bias: -10.068 | Lambda Scalar: 0.000 | Total_loss: 0.20459 (0.30237) Joint_loss: 5.3202 (3.9936) Cross_loss: 1.8499 (1.7917) Image_lambda_loss: 0.0076346 (0.23148) Text_lambda_loss: 0.0051800 (0.14829) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:39:07 | INFO | Train Epoch: 0 [3187980/9193800 (35%)] Step: 0.8K | Data (t): 0.328 Batch (t): 1.329, 2928.79/s, 1464.39/s/gpu Logit Scale: 15.443 | Logit Bias: -10.078 | Lambda Scalar: 0.000 | Total_loss: 0.18741 (0.28959) Joint_loss: 5.6601 (4.1788) Cross_loss: 1.9635 (1.8108) Image_lambda_loss: 0.0092067 (0.20679) Text_lambda_loss: 0.0052374 (0.13240) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:41:19 | INFO | Train Epoch: 0 [3585980/9193800 (39%)] Step: 0.9K | Data (t): 0.330 Batch (t): 1.323, 2885.33/s, 1442.67/s/gpu Logit Scale: 15.598 | Logit Bias: -10.088 | Lambda Scalar: 0.000 | Total_loss: 0.17296 (0.27793) Joint_loss: 5.7711 (4.3380) Cross_loss: 1.8852 (1.8182) Image_lambda_loss: 0.0081966 (0.18693) Text_lambda_loss: 0.0045013 (0.11961) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:43:32 | INFO | Train Epoch: 0 [3983980/9193800 (43%)] Step: 1.0K | Data (t): 0.321 Batch (t): 1.330, 2809.15/s, 1404.58/s/gpu Logit Scale: 15.753 | Logit Bias: -10.098 | Lambda Scalar: 0.000 | Total_loss: 0.17076 (0.26819) Joint_loss: 5.8338 (4.4740) Cross_loss: 1.9411 (1.8294) Image_lambda_loss: 0.0086268 (0.17072) Text_lambda_loss: 0.0048462 (0.10918) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:45:45 | INFO | Train Epoch: 0 [4381980/9193800 (48%)] Step: 1.1K | Data (t): 0.325 Batch (t): 1.329, 3057.21/s, 1528.61/s/gpu Logit Scale: 15.912 | Logit Bias: -10.108 | Lambda Scalar: 0.000 | Total_loss: 0.14110 (0.25760) Joint_loss: 6.4301 (4.6370) Cross_loss: 2.1069 (1.8525) Image_lambda_loss: 0.0083361 (0.15719) Text_lambda_loss: 0.0045206 (0.10045) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:47:59 | INFO | Train Epoch: 0 [4779980/9193800 (52%)] Step: 1.2K | Data (t): 0.327 Batch (t): 1.338, 3035.88/s, 1517.94/s/gpu Logit Scale: 16.071 | Logit Bias: -10.118 | Lambda Scalar: 0.000 | Total_loss: 0.13651 (0.24828) Joint_loss: 6.2611 (4.7619) Cross_loss: 1.8886 (1.8553) Image_lambda_loss: 0.0085996 (0.14576) Text_lambda_loss: 0.0047541 (0.093093) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:50:11 | INFO | Train Epoch: 0 [5177980/9193800 (56%)] Step: 1.3K | Data (t): 0.327 Batch (t): 1.327, 2822.17/s, 1411.08/s/gpu Logit Scale: 16.232 | Logit Bias: -10.128 | Lambda Scalar: 0.000 | Total_loss: 0.12497 (0.23947) Joint_loss: 6.4399 (4.8818) Cross_loss: 1.9078 (1.8590) Image_lambda_loss: 0.0078711 (0.13591) Text_lambda_loss: 0.0043872 (0.086757) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:52:25 | INFO | Train Epoch: 0 [5575980/9193800 (61%)] Step: 1.4K | Data (t): 0.330 Batch (t): 1.334, 2932.37/s, 1466.18/s/gpu Logit Scale: 16.396 | Logit Bias: -10.138 | Lambda Scalar: 0.000 | Total_loss: 0.10339 (0.23040) Joint_loss: 6.8079 (5.0102) Cross_loss: 1.9529 (1.8653) Image_lambda_loss: 0.0084013 (0.12741) Text_lambda_loss: 0.0043564 (0.081263) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:54:39 | INFO | Train Epoch: 0 [5973980/9193800 (65%)] Step: 1.5K | Data (t): 0.324 Batch (t): 1.346, 2857.58/s, 1428.79/s/gpu Logit Scale: 16.558 | Logit Bias: -10.147 | Lambda Scalar: 0.000 | Total_loss: 0.10296 (0.22244) Joint_loss: 6.7932 (5.1216) Cross_loss: 1.9480 (1.8705) Image_lambda_loss: 0.0080346 (0.11995) Text_lambda_loss: 0.0042753 (0.076452) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:56:52 | INFO | Train Epoch: 0 [6371980/9193800 (69%)] Step: 1.6K | Data (t): 0.291 Batch (t): 1.326, 2877.81/s, 1438.91/s/gpu Logit Scale: 16.722 | Logit Bias: -10.157 | Lambda Scalar: 0.000 | Total_loss: 0.089880 (0.21464) Joint_loss: 6.9986 (5.2320) Cross_loss: 1.9579 (1.8756) Image_lambda_loss: 0.0078512 (0.11335) Text_lambda_loss: 0.0043009 (0.072207) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,03:59:09 | INFO | Train Epoch: 0 [6769980/9193800 (74%)] Step: 1.7K | Data (t): 0.336 Batch (t): 1.367, 2972.35/s, 1486.17/s/gpu Logit Scale: 16.886 | Logit Bias: -10.167 | Lambda Scalar: 0.000 | Total_loss: 0.081384 (0.20724) Joint_loss: 7.1715 (5.3398) Cross_loss: 2.0062 (1.8829) Image_lambda_loss: 0.0076882 (0.10748) Text_lambda_loss: 0.0045490 (0.068449) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,04:01:22 | INFO | Train Epoch: 0 [7167980/9193800 (78%)] Step: 1.8K | Data (t): 0.323 Batch (t): 1.336, 2917.92/s, 1458.96/s/gpu Logit Scale: 17.056 | Logit Bias: -10.177 | Lambda Scalar: 0.000 | Total_loss: 0.075932 (0.20033) Joint_loss: 7.2830 (5.4421) Cross_loss: 2.0412 (1.8912) Image_lambda_loss: 0.0079503 (0.10224) Text_lambda_loss: 0.0041533 (0.065065) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,04:03:35 | INFO | Train Epoch: 0 [7565980/9193800 (82%)] Step: 1.9K | Data (t): 0.328 Batch (t): 1.328, 3070.64/s, 1535.32/s/gpu Logit Scale: 17.225 | Logit Bias: -10.187 | Lambda Scalar: 0.000 | Total_loss: 0.050230 (0.19282) Joint_loss: 7.9535 (5.5676) Cross_loss: 2.2944 (1.9114) Image_lambda_loss: 0.0073253 (0.097497) Text_lambda_loss: 0.0044736 (0.062035) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,04:05:49 | INFO | Train Epoch: 0 [7963980/9193800 (87%)] Step: 2.0K | Data (t): 0.331 Batch (t): 1.341, 3041.12/s, 1520.56/s/gpu Logit Scale: 17.397 | Logit Bias: -10.197 | Lambda Scalar: 0.000 | Total_loss: 0.055307 (0.18627) Joint_loss: 7.4387 (5.6567) Cross_loss: 1.8740 (1.9096) Image_lambda_loss: 0.0072073 (0.093198) Text_lambda_loss: 0.0043455 (0.059288) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,04:08:05 | INFO | Train Epoch: 0 [8361980/9193800 (91%)] Step: 2.1K | Data (t): 0.325 Batch (t): 1.356, 3414.95/s, 1707.47/s/gpu Logit Scale: 17.569 | Logit Bias: -10.206 | Lambda Scalar: 0.000 | Total_loss: 0.027840 (0.17907) Joint_loss: 8.0096 (5.7637) Cross_loss: 1.9851 (1.9130) Image_lambda_loss: 0.0077127 (0.089312) Text_lambda_loss: 0.0045325 (0.056799) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,04:10:17 | INFO | Train Epoch: 0 [8759980/9193800 (95%)] Step: 2.2K | Data (t): 0.292 Batch (t): 1.326, 2994.63/s, 1497.31/s/gpu Logit Scale: 17.745 | Logit Bias: -10.216 | Lambda Scalar: 0.000 | Total_loss: 0.031478 (0.17265) Joint_loss: 7.7903 (5.8518) Cross_loss: 1.8335 (1.9096) Image_lambda_loss: 0.0073774 (0.085750) Text_lambda_loss: 0.0045130 (0.054526) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,04:12:39 | INFO | Train Epoch: 0 [9157980/9193800 (100%)] Step: 2.3K | Data (t): 0.365 Batch (t): 1.420, 2990.84/s, 1495.42/s/gpu Logit Scale: 17.923 | Logit Bias: -10.226 | Lambda Scalar: 0.000 | Total_loss: 0.023936 (0.16646) Joint_loss: 8.0983 (5.9454) Cross_loss: 2.0157 (1.9140) Image_lambda_loss: 0.0072438 (0.082479) Text_lambda_loss: 0.0041822 (0.052428) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,04:12:52 | INFO | Train Epoch: 0 [9193800/9193800 (100%)] Step: 2.3K | Data (t): 0.357 Batch (t): 1.375, 2953.57/s, 1476.78/s/gpu Logit Scale: 17.940 | Logit Bias: -10.227 | Lambda Scalar: 0.000 | Total_loss: 0.014613 (0.16038) Joint_loss: 8.3149 (6.0402) Cross_loss: 2.0700 (1.9202) Image_lambda_loss: 0.0071211 (0.079464) Text_lambda_loss: 0.0041062 (0.050495) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0 | | |
| 2025-01-24,04:12:52 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,04:12:52 | INFO | Building zero-shot classifier | |
| 2025-01-24,04:12:59 | INFO | Using classifier | |
| 2025-01-24,04:14:06 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,04:14:17 | INFO | Eval Epoch: 1 [1990 / 205824] Clip Loss: 4.996784 | |
| 2025-01-24,04:14:52 | INFO | Eval Epoch: 1 imagenet-zeroshot-val-top1: 0.0253 imagenet-zeroshot-val-top5: 0.0816 image_to_text_mean_rank: 467.3663 image_to_text_median_rank: 111.0000 image_to_text_R@1: 0.0454 image_to_text_R@5: 0.1258 image_to_text_R@10: 0.1830 text_to_image_mean_rank: 496.2934 text_to_image_median_rank: 105.0000 text_to_image_R@1: 0.0461 text_to_image_R@5: 0.1257 text_to_image_R@10: 0.1814 clip_val_loss: 4.9264 epoch: 1.0000 num_samples: 8678.0000 | |
| 2025-01-24,04:14:54 | INFO | Start epoch 1 | |
| 2025-01-24,04:15:04 | INFO | Train Epoch: 1 [ 3980/9193800 (0%)] Step: 2.3K | Data (t): 8.682 Batch (t): 9.902, 401.934/s, 200.967/s/gpu Logit Scale: 17.941 | Logit Bias: -10.227 | Lambda Scalar: 0.000 | Total_loss: 0.0017215 (0.0017215) Joint_loss: 8.4447 (8.4447) Cross_loss: 1.9747 (1.9747) Image_lambda_loss: 0.00015056 (0.00015056) Text_lambda_loss: 0.00014477 (0.00014477) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:17:18 | INFO | Train Epoch: 1 [ 401980/9193800 (4%)] Step: 2.4K | Data (t): 0.223 Batch (t): 1.340, 3143.10/s, 1571.55/s/gpu Logit Scale: 18.120 | Logit Bias: -10.237 | Lambda Scalar: 0.000 | Total_loss: 0.0026670 (0.0021943) Joint_loss: 8.5855 (8.5151) Cross_loss: 2.1325 (2.0536) Image_lambda_loss: 8.0128e-07 (7.5679e-05) Text_lambda_loss: 9.9965e-07 (7.2887e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:19:31 | INFO | Train Epoch: 1 [ 799980/9193800 (9%)] Step: 2.5K | Data (t): 0.322 Batch (t): 1.325, 2975.36/s, 1487.68/s/gpu Logit Scale: 18.302 | Logit Bias: -10.247 | Lambda Scalar: 0.000 | Total_loss: -0.021721 (-0.0057773) Joint_loss: 8.7998 (8.6100) Cross_loss: 1.9128 (2.0067) Image_lambda_loss: 2.5133e-07 (5.0536e-05) Text_lambda_loss: 1.3364e-05 (5.3046e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:21:46 | INFO | Train Epoch: 1 [1197980/9193800 (13%)] Step: 2.6K | Data (t): 0.340 Batch (t): 1.350, 3115.90/s, 1557.95/s/gpu Logit Scale: 18.484 | Logit Bias: -10.257 | Lambda Scalar: 0.000 | Total_loss: -0.022031 (-0.0098408) Joint_loss: 8.8455 (8.6689) Cross_loss: 1.9490 (1.9923) Image_lambda_loss: 9.4988e-07 (3.8140e-05) Text_lambda_loss: 4.3864e-06 (4.0881e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:23:56 | INFO | Train Epoch: 1 [1595980/9193800 (17%)] Step: 2.7K | Data (t): 0.316 Batch (t): 1.309, 2881.79/s, 1440.90/s/gpu Logit Scale: 18.670 | Logit Bias: -10.267 | Lambda Scalar: 0.000 | Total_loss: -0.014691 (-0.010811) Joint_loss: 8.7465 (8.6844) Cross_loss: 1.9794 (1.9897) Image_lambda_loss: 1.6008e-06 (3.0832e-05) Text_lambda_loss: 1.3226e-06 (3.2969e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:26:11 | INFO | Train Epoch: 1 [1993980/9193800 (22%)] Step: 2.8K | Data (t): 0.330 Batch (t): 1.345, 2830.04/s, 1415.02/s/gpu Logit Scale: 18.857 | Logit Bias: -10.277 | Lambda Scalar: 0.000 | Total_loss: -0.033728 (-0.014630) Joint_loss: 9.1737 (8.7659) Cross_loss: 2.0541 (2.0004) Image_lambda_loss: 6.5086e-06 (2.6778e-05) Text_lambda_loss: 1.9274e-06 (2.7796e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:28:27 | INFO | Train Epoch: 1 [2391980/9193800 (26%)] Step: 2.9K | Data (t): 0.323 Batch (t): 1.365, 3047.84/s, 1523.92/s/gpu Logit Scale: 19.045 | Logit Bias: -10.287 | Lambda Scalar: 0.000 | Total_loss: -0.043387 (-0.018739) Joint_loss: 9.3896 (8.8550) Cross_loss: 2.0844 (2.0124) Image_lambda_loss: 8.9848e-06 (2.4236e-05) Text_lambda_loss: 1.1694e-05 (2.5495e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:30:44 | INFO | Train Epoch: 1 [2789980/9193800 (30%)] Step: 3.0K | Data (t): 0.295 Batch (t): 1.369, 3014.67/s, 1507.34/s/gpu Logit Scale: 19.236 | Logit Bias: -10.297 | Lambda Scalar: 0.000 | Total_loss: -0.041542 (-0.021589) Joint_loss: 9.2412 (8.9033) Cross_loss: 1.9623 (2.0062) Image_lambda_loss: 6.9035e-07 (2.1293e-05) Text_lambda_loss: 3.7608e-06 (2.2779e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:33:00 | INFO | Train Epoch: 1 [3187980/9193800 (35%)] Step: 3.1K | Data (t): 0.328 Batch (t): 1.357, 3012.74/s, 1506.37/s/gpu Logit Scale: 19.428 | Logit Bias: -10.307 | Lambda Scalar: 0.000 | Total_loss: -0.053012 (-0.025080) Joint_loss: 9.4458 (8.9636) Cross_loss: 1.9417 (1.9990) Image_lambda_loss: 1.0839e-06 (1.9047e-05) Text_lambda_loss: 4.5579e-05 (2.5312e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:35:15 | INFO | Train Epoch: 1 [3585980/9193800 (39%)] Step: 3.2K | Data (t): 0.329 Batch (t): 1.353, 2902.08/s, 1451.04/s/gpu Logit Scale: 19.623 | Logit Bias: -10.317 | Lambda Scalar: 0.000 | Total_loss: -0.057629 (-0.028335) Joint_loss: 9.5816 (9.0254) Cross_loss: 1.9789 (1.9970) Image_lambda_loss: 1.0023e-06 (1.7243e-05) Text_lambda_loss: 3.8654e-06 (2.3167e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:37:31 | INFO | Train Epoch: 1 [3983980/9193800 (43%)] Step: 3.3K | Data (t): 0.335 Batch (t): 1.356, 2937.39/s, 1468.69/s/gpu Logit Scale: 19.819 | Logit Bias: -10.327 | Lambda Scalar: 0.000 | Total_loss: -0.061305 (-0.031333) Joint_loss: 9.8594 (9.1012) Cross_loss: 2.1743 (2.0131) Image_lambda_loss: 7.2024e-07 (1.5741e-05) Text_lambda_loss: 4.3548e-05 (2.5020e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:39:47 | INFO | Train Epoch: 1 [4381980/9193800 (48%)] Step: 3.4K | Data (t): 0.338 Batch (t): 1.362, 2793.26/s, 1396.63/s/gpu Logit Scale: 20.017 | Logit Bias: -10.337 | Lambda Scalar: 0.000 | Total_loss: -0.067656 (-0.034359) Joint_loss: 9.8576 (9.1642) Cross_loss: 2.0363 (2.0150) Image_lambda_loss: 0.00010099 (2.2845e-05) Text_lambda_loss: 9.1990e-06 (2.3702e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:42:01 | INFO | Train Epoch: 1 [4779980/9193800 (52%)] Step: 3.5K | Data (t): 0.332 Batch (t): 1.340, 3511.40/s, 1755.70/s/gpu Logit Scale: 20.217 | Logit Bias: -10.347 | Lambda Scalar: 0.000 | Total_loss: -0.069828 (-0.037088) Joint_loss: 9.9980 (9.2284) Cross_loss: 2.1204 (2.0232) Image_lambda_loss: 1.4681e-06 (2.1201e-05) Text_lambda_loss: 2.7651e-06 (2.2091e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:44:17 | INFO | Train Epoch: 1 [5177980/9193800 (56%)] Step: 3.6K | Data (t): 0.319 Batch (t): 1.358, 2992.57/s, 1496.28/s/gpu Logit Scale: 20.419 | Logit Bias: -10.357 | Lambda Scalar: 0.000 | Total_loss: -0.078987 (-0.040081) Joint_loss: 10.109 (9.2913) Cross_loss: 2.0342 (2.0239) Image_lambda_loss: 4.0739e-06 (1.9977e-05) Text_lambda_loss: 1.3632e-05 (2.1487e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:46:33 | INFO | Train Epoch: 1 [5575980/9193800 (61%)] Step: 3.7K | Data (t): 0.343 Batch (t): 1.359, 3140.42/s, 1570.21/s/gpu Logit Scale: 20.624 | Logit Bias: -10.367 | Lambda Scalar: 0.000 | Total_loss: -0.080670 (-0.042787) Joint_loss: 10.208 (9.3524) Cross_loss: 2.0836 (2.0279) Image_lambda_loss: 1.2196e-05 (1.9459e-05) Text_lambda_loss: 6.3541e-06 (2.0478e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:48:50 | INFO | Train Epoch: 1 [5973980/9193800 (65%)] Step: 3.8K | Data (t): 0.347 Batch (t): 1.371, 2794.37/s, 1397.19/s/gpu Logit Scale: 20.830 | Logit Bias: -10.377 | Lambda Scalar: 0.000 | Total_loss: -0.089519 (-0.045707) Joint_loss: 10.405 (9.4181) Cross_loss: 2.0838 (2.0314) Image_lambda_loss: 1.0271e-05 (1.8885e-05) Text_lambda_loss: 4.6399e-06 (1.9488e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:51:07 | INFO | Train Epoch: 1 [6371980/9193800 (69%)] Step: 3.9K | Data (t): 0.342 Batch (t): 1.367, 2872.43/s, 1436.21/s/gpu Logit Scale: 21.038 | Logit Bias: -10.387 | Lambda Scalar: 0.000 | Total_loss: -0.072360 (-0.047275) Joint_loss: 9.9364 (9.4486) Cross_loss: 1.9495 (2.0266) Image_lambda_loss: 5.3475e-06 (1.8088e-05) Text_lambda_loss: 0.00031521 (3.6884e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:53:24 | INFO | Train Epoch: 1 [6769980/9193800 (74%)] Step: 4.0K | Data (t): 0.340 Batch (t): 1.370, 2966.99/s, 1483.50/s/gpu Logit Scale: 21.248 | Logit Bias: -10.397 | Lambda Scalar: 0.000 | Total_loss: -0.098359 (-0.050113) Joint_loss: 10.610 (9.5132) Cross_loss: 2.0683 (2.0289) Image_lambda_loss: 1.2016e-06 (1.7150e-05) Text_lambda_loss: 1.1715e-05 (3.5485e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:55:38 | INFO | Train Epoch: 1 [7167980/9193800 (78%)] Step: 4.1K | Data (t): 0.335 Batch (t): 1.348, 3026.28/s, 1513.14/s/gpu Logit Scale: 21.461 | Logit Bias: -10.407 | Lambda Scalar: 0.000 | Total_loss: -0.10661 (-0.053087) Joint_loss: 10.752 (9.5784) Cross_loss: 2.0163 (2.0282) Image_lambda_loss: 1.2996e-06 (1.6316e-05) Text_lambda_loss: 1.4989e-05 (3.4407e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,04:57:55 | INFO | Train Epoch: 1 [7565980/9193800 (82%)] Step: 4.2K | Data (t): 0.344 Batch (t): 1.363, 3171.36/s, 1585.68/s/gpu Logit Scale: 21.675 | Logit Bias: -10.416 | Lambda Scalar: 0.000 | Total_loss: -0.099019 (-0.055383) Joint_loss: 10.661 (9.6325) Cross_loss: 2.0635 (2.0300) Image_lambda_loss: 1.5115e-06 (1.5576e-05) Text_lambda_loss: 3.3341e-05 (3.4353e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,05:00:10 | INFO | Train Epoch: 1 [7963980/9193800 (87%)] Step: 4.3K | Data (t): 0.337 Batch (t): 1.355, 3048.34/s, 1524.17/s/gpu Logit Scale: 21.892 | Logit Bias: -10.426 | Lambda Scalar: 0.000 | Total_loss: -0.12209 (-0.058560) Joint_loss: 11.133 (9.7040) Cross_loss: 2.0203 (2.0296) Image_lambda_loss: 1.1639e-05 (1.5388e-05) Text_lambda_loss: 5.7771e-06 (3.2993e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,05:02:17 | INFO | Train Epoch: 1 [8361980/9193800 (91%)] Step: 4.4K | Data (t): 0.175 Batch (t): 1.273, 2780.22/s, 1390.11/s/gpu Logit Scale: 22.111 | Logit Bias: -10.436 | Lambda Scalar: 0.000 | Total_loss: -0.11930 (-0.061321) Joint_loss: 11.059 (9.7656) Cross_loss: 1.9796 (2.0273) Image_lambda_loss: 1.4039e-05 (1.5327e-05) Text_lambda_loss: 7.8399e-06 (3.1849e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,05:04:33 | INFO | Train Epoch: 1 [8759980/9193800 (95%)] Step: 4.5K | Data (t): 0.345 Batch (t): 1.360, 3072.93/s, 1536.46/s/gpu Logit Scale: 22.332 | Logit Bias: -10.446 | Lambda Scalar: 0.000 | Total_loss: -0.12103 (-0.063917) Joint_loss: 11.223 (9.8290) Cross_loss: 2.0798 (2.0296) Image_lambda_loss: 1.3013e-05 (1.5226e-05) Text_lambda_loss: 4.1399e-06 (3.0645e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,05:06:49 | INFO | Train Epoch: 1 [9157980/9193800 (100%)] Step: 4.6K | Data (t): 0.341 Batch (t): 1.360, 2939.75/s, 1469.87/s/gpu Logit Scale: 22.555 | Logit Bias: -10.456 | Lambda Scalar: 0.000 | Total_loss: -0.12739 (-0.066561) Joint_loss: 11.298 (9.8902) Cross_loss: 1.9869 (2.0278) Image_lambda_loss: 3.8754e-05 (1.6207e-05) Text_lambda_loss: 7.2869e-05 (3.2404e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,05:07:02 | INFO | Train Epoch: 1 [9193800/9193800 (100%)] Step: 4.6K | Data (t): 0.327 Batch (t): 1.350, 3028.09/s, 1514.04/s/gpu Logit Scale: 22.575 | Logit Bias: -10.457 | Lambda Scalar: 0.000 | Total_loss: -0.12884 (-0.069053) Joint_loss: 11.403 (9.9507) Cross_loss: 2.0571 (2.0290) Image_lambda_loss: 1.9574e-06 (1.5637e-05) Text_lambda_loss: 4.7672e-06 (3.1298e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.007685887838707828 | | |
| 2025-01-24,05:07:02 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,05:07:02 | INFO | Building zero-shot classifier | |
| 2025-01-24,05:07:09 | INFO | Using classifier | |
| 2025-01-24,05:08:15 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,05:08:24 | INFO | Eval Epoch: 2 [1990 / 205824] Clip Loss: 3.767045 | |
| 2025-01-24,05:08:56 | INFO | Eval Epoch: 2 imagenet-zeroshot-val-top1: 0.0595 imagenet-zeroshot-val-top5: 0.1666 image_to_text_mean_rank: 191.0230 image_to_text_median_rank: 24.0000 image_to_text_R@1: 0.1317 image_to_text_R@5: 0.2879 image_to_text_R@10: 0.3789 text_to_image_mean_rank: 201.6390 text_to_image_median_rank: 23.0000 text_to_image_R@1: 0.1285 text_to_image_R@5: 0.2989 text_to_image_R@10: 0.3880 clip_val_loss: 3.6438 epoch: 2.0000 num_samples: 8678.0000 | |
| 2025-01-24,05:08:59 | INFO | Start epoch 2 | |
| 2025-01-24,05:09:09 | INFO | Train Epoch: 2 [ 3980/9193800 (0%)] Step: 4.6K | Data (t): 9.217 Batch (t): 10.100, 394.053/s, 197.027/s/gpu Logit Scale: 22.577 | Logit Bias: -10.457 | Lambda Scalar: 0.000 | Total_loss: -0.12639 (-0.12639) Joint_loss: 11.261 (11.261) Cross_loss: 1.9691 (1.9691) Image_lambda_loss: 9.7793e-06 (9.7793e-06) Text_lambda_loss: 3.8256e-06 (3.8256e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:11:22 | INFO | Train Epoch: 2 [ 401980/9193800 (4%)] Step: 4.7K | Data (t): 0.277 Batch (t): 1.330, 2736.10/s, 1368.05/s/gpu Logit Scale: 22.804 | Logit Bias: -10.467 | Lambda Scalar: 0.000 | Total_loss: -0.15220 (-0.13929) Joint_loss: 11.836 (11.548) Cross_loss: 1.9396 (1.9544) Image_lambda_loss: 5.2549e-06 (7.5171e-06) Text_lambda_loss: 2.4081e-05 (1.3953e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:13:38 | INFO | Train Epoch: 2 [ 799980/9193800 (9%)] Step: 4.8K | Data (t): 0.343 Batch (t): 1.359, 2950.60/s, 1475.30/s/gpu Logit Scale: 23.032 | Logit Bias: -10.477 | Lambda Scalar: 0.000 | Total_loss: -0.12764 (-0.13541) Joint_loss: 11.433 (11.510) Cross_loss: 2.0557 (1.9881) Image_lambda_loss: 5.9904e-07 (5.2111e-06) Text_lambda_loss: 1.2455e-06 (9.7173e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:15:51 | INFO | Train Epoch: 2 [1197980/9193800 (13%)] Step: 4.9K | Data (t): 0.318 Batch (t): 1.332, 3066.53/s, 1533.26/s/gpu Logit Scale: 23.261 | Logit Bias: -10.487 | Lambda Scalar: 0.000 | Total_loss: -0.12991 (-0.13403) Joint_loss: 11.496 (11.506) Cross_loss: 2.0374 (2.0005) Image_lambda_loss: 2.6236e-05 (1.0467e-05) Text_lambda_loss: 5.3974e-05 (2.0781e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:18:05 | INFO | Train Epoch: 2 [1595980/9193800 (17%)] Step: 5.0K | Data (t): 0.336 Batch (t): 1.345, 2952.79/s, 1476.40/s/gpu Logit Scale: 23.494 | Logit Bias: -10.497 | Lambda Scalar: 0.000 | Total_loss: -0.14465 (-0.13616) Joint_loss: 11.911 (11.587) Cross_loss: 2.0830 (2.0170) Image_lambda_loss: 2.4056e-05 (1.3185e-05) Text_lambda_loss: 4.0421e-05 (2.4709e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:20:10 | INFO | Train Epoch: 2 [1993980/9193800 (22%)] Step: 5.1K | Data (t): 0.241 Batch (t): 1.251, 3103.97/s, 1551.99/s/gpu Logit Scale: 23.728 | Logit Bias: -10.507 | Lambda Scalar: 0.000 | Total_loss: -0.14370 (-0.13741) Joint_loss: 11.959 (11.649) Cross_loss: 2.1194 (2.0340) Image_lambda_loss: 1.8237e-06 (1.1291e-05) Text_lambda_loss: 1.2939e-05 (2.2748e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:22:12 | INFO | Train Epoch: 2 [2391980/9193800 (26%)] Step: 5.2K | Data (t): 0.244 Batch (t): 1.219, 2750.79/s, 1375.39/s/gpu Logit Scale: 23.965 | Logit Bias: -10.517 | Lambda Scalar: 0.000 | Total_loss: -0.14960 (-0.13915) Joint_loss: 11.996 (11.699) Cross_loss: 1.9837 (2.0269) Image_lambda_loss: 3.0994e-06 (1.0121e-05) Text_lambda_loss: 6.4925e-05 (2.8773e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:24:16 | INFO | Train Epoch: 2 [2789980/9193800 (30%)] Step: 5.3K | Data (t): 0.248 Batch (t): 1.237, 3369.48/s, 1684.74/s/gpu Logit Scale: 24.204 | Logit Bias: -10.527 | Lambda Scalar: 0.000 | Total_loss: -0.15989 (-0.14175) Joint_loss: 12.413 (11.788) Cross_loss: 2.1215 (2.0387) Image_lambda_loss: 1.2567e-06 (9.0131e-06) Text_lambda_loss: 6.7009e-06 (2.6014e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:26:21 | INFO | Train Epoch: 2 [3187980/9193800 (35%)] Step: 5.4K | Data (t): 0.254 Batch (t): 1.250, 3111.88/s, 1555.94/s/gpu Logit Scale: 24.446 | Logit Bias: -10.537 | Lambda Scalar: 0.000 | Total_loss: -0.15427 (-0.14314) Joint_loss: 12.213 (11.835) Cross_loss: 2.0172 (2.0363) Image_lambda_loss: 1.7390e-06 (8.2049e-06) Text_lambda_loss: 2.0355e-06 (2.3350e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:28:27 | INFO | Train Epoch: 2 [3585980/9193800 (39%)] Step: 5.5K | Data (t): 0.257 Batch (t): 1.259, 3112.35/s, 1556.18/s/gpu Logit Scale: 24.690 | Logit Bias: -10.547 | Lambda Scalar: 0.000 | Total_loss: -0.15321 (-0.14415) Joint_loss: 12.177 (11.869) Cross_loss: 1.9687 (2.0295) Image_lambda_loss: 0.00015071 (2.2455e-05) Text_lambda_loss: 1.7474e-06 (2.1189e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:30:32 | INFO | Train Epoch: 2 [3983980/9193800 (43%)] Step: 5.6K | Data (t): 0.259 Batch (t): 1.252, 3564.84/s, 1782.42/s/gpu Logit Scale: 24.937 | Logit Bias: -10.557 | Lambda Scalar: 0.000 | Total_loss: -0.14703 (-0.14441) Joint_loss: 12.120 (11.892) Cross_loss: 2.0257 (2.0292) Image_lambda_loss: 1.9786e-06 (2.0593e-05) Text_lambda_loss: 3.9582e-06 (1.9623e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:32:36 | INFO | Train Epoch: 2 [4381980/9193800 (48%)] Step: 5.7K | Data (t): 0.264 Batch (t): 1.242, 3004.06/s, 1502.03/s/gpu Logit Scale: 25.186 | Logit Bias: -10.567 | Lambda Scalar: 0.000 | Total_loss: -0.15654 (-0.14542) Joint_loss: 12.409 (11.935) Cross_loss: 2.0433 (2.0304) Image_lambda_loss: 1.0520e-06 (1.8965e-05) Text_lambda_loss: 3.3876e-06 (1.8270e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:34:42 | INFO | Train Epoch: 2 [4779980/9193800 (52%)] Step: 5.8K | Data (t): 0.259 Batch (t): 1.258, 2896.26/s, 1448.13/s/gpu Logit Scale: 25.437 | Logit Bias: -10.577 | Lambda Scalar: 0.000 | Total_loss: -0.16168 (-0.14667) Joint_loss: 12.426 (11.973) Cross_loss: 1.8924 (2.0198) Image_lambda_loss: 0.00010281 (2.5414e-05) Text_lambda_loss: 9.8382e-06 (1.7621e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:36:47 | INFO | Train Epoch: 2 [5177980/9193800 (56%)] Step: 5.9K | Data (t): 0.258 Batch (t): 1.248, 3261.49/s, 1630.75/s/gpu Logit Scale: 25.691 | Logit Bias: -10.586 | Lambda Scalar: 0.000 | Total_loss: -0.16458 (-0.14795) Joint_loss: 12.696 (12.025) Cross_loss: 2.0487 (2.0218) Image_lambda_loss: 1.8105e-06 (2.3728e-05) Text_lambda_loss: 2.3609e-06 (1.6531e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:38:52 | INFO | Train Epoch: 2 [5575980/9193800 (61%)] Step: 6.0K | Data (t): 0.253 Batch (t): 1.247, 3261.32/s, 1630.66/s/gpu Logit Scale: 25.948 | Logit Bias: -10.596 | Lambda Scalar: 0.000 | Total_loss: -0.17242 (-0.14958) Joint_loss: 12.908 (12.083) Cross_loss: 2.0184 (2.0216) Image_lambda_loss: 1.0342e-06 (2.2215e-05) Text_lambda_loss: 2.1862e-06 (1.5575e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:40:54 | INFO | Train Epoch: 2 [5973980/9193800 (65%)] Step: 6.1K | Data (t): 0.215 Batch (t): 1.227, 3105.72/s, 1552.86/s/gpu Logit Scale: 26.207 | Logit Bias: -10.606 | Lambda Scalar: 0.000 | Total_loss: -0.16543 (-0.15057) Joint_loss: 12.742 (12.125) Cross_loss: 1.9874 (2.0195) Image_lambda_loss: 3.3826e-06 (2.1038e-05) Text_lambda_loss: 3.1301e-06 (1.4797e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:42:58 | INFO | Train Epoch: 2 [6371980/9193800 (69%)] Step: 6.2K | Data (t): 0.228 Batch (t): 1.236, 3138.08/s, 1569.04/s/gpu Logit Scale: 26.469 | Logit Bias: -10.616 | Lambda Scalar: 0.000 | Total_loss: -0.17082 (-0.15176) Joint_loss: 12.937 (12.172) Cross_loss: 1.9997 (2.0183) Image_lambda_loss: 1.2824e-06 (1.9876e-05) Text_lambda_loss: 1.1967e-05 (1.4631e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:45:00 | INFO | Train Epoch: 2 [6769980/9193800 (74%)] Step: 6.3K | Data (t): 0.210 Batch (t): 1.221, 3306.86/s, 1653.43/s/gpu Logit Scale: 26.733 | Logit Bias: -10.626 | Lambda Scalar: 0.000 | Total_loss: -0.16911 (-0.15273) Joint_loss: 13.059 (12.222) Cross_loss: 2.1213 (2.0240) Image_lambda_loss: 1.6441e-06 (1.8863e-05) Text_lambda_loss: 1.0946e-05 (1.4426e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:47:03 | INFO | Train Epoch: 2 [7167980/9193800 (78%)] Step: 6.4K | Data (t): 0.242 Batch (t): 1.233, 3595.81/s, 1797.90/s/gpu Logit Scale: 27.000 | Logit Bias: -10.636 | Lambda Scalar: 0.000 | Total_loss: -0.17231 (-0.15376) Joint_loss: 12.982 (12.262) Cross_loss: 1.9140 (2.0182) Image_lambda_loss: 1.2974e-06 (1.7939e-05) Text_lambda_loss: 4.0632e-05 (1.5805e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:49:05 | INFO | Train Epoch: 2 [7565980/9193800 (82%)] Step: 6.5K | Data (t): 0.236 Batch (t): 1.219, 3360.79/s, 1680.39/s/gpu Logit Scale: 27.269 | Logit Bias: -10.646 | Lambda Scalar: 0.000 | Total_loss: -0.17455 (-0.15480) Joint_loss: 13.227 (12.310) Cross_loss: 2.0525 (2.0199) Image_lambda_loss: 4.8146e-05 (1.9449e-05) Text_lambda_loss: 2.4467e-06 (1.5137e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:51:07 | INFO | Train Epoch: 2 [7963980/9193800 (87%)] Step: 6.6K | Data (t): 0.239 Batch (t): 1.220, 3233.29/s, 1616.64/s/gpu Logit Scale: 27.541 | Logit Bias: -10.656 | Lambda Scalar: 0.000 | Total_loss: -0.18016 (-0.15600) Joint_loss: 13.304 (12.357) Cross_loss: 1.9308 (2.0157) Image_lambda_loss: 1.5144e-06 (1.8595e-05) Text_lambda_loss: 1.5550e-05 (1.5157e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:53:02 | INFO | Train Epoch: 2 [8361980/9193800 (91%)] Step: 6.7K | Data (t): 0.135 Batch (t): 1.152, 2393.14/s, 1196.57/s/gpu Logit Scale: 27.816 | Logit Bias: -10.666 | Lambda Scalar: 0.000 | Total_loss: -0.18302 (-0.15723) Joint_loss: 13.593 (12.413) Cross_loss: 2.0919 (2.0192) Image_lambda_loss: 2.4147e-06 (1.7860e-05) Text_lambda_loss: 0.00022545 (2.4716e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:54:56 | INFO | Train Epoch: 2 [8759980/9193800 (95%)] Step: 6.8K | Data (t): 0.149 Batch (t): 1.131, 3211.01/s, 1605.50/s/gpu Logit Scale: 28.094 | Logit Bias: -10.676 | Lambda Scalar: 0.000 | Total_loss: -0.18279 (-0.15834) Joint_loss: 13.569 (12.464) Cross_loss: 2.0236 (2.0194) Image_lambda_loss: 2.8705e-06 (1.7208e-05) Text_lambda_loss: 2.2304e-06 (2.3738e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:56:49 | INFO | Train Epoch: 2 [9157980/9193800 (100%)] Step: 6.9K | Data (t): 0.185 Batch (t): 1.132, 4260.44/s, 2130.22/s/gpu Logit Scale: 28.374 | Logit Bias: -10.686 | Lambda Scalar: 0.000 | Total_loss: -0.18456 (-0.15944) Joint_loss: 13.470 (12.506) Cross_loss: 1.8239 (2.0112) Image_lambda_loss: 1.3759e-06 (1.6548e-05) Text_lambda_loss: 0.00052095 (4.4455e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:57:00 | INFO | Train Epoch: 2 [9193800/9193800 (100%)] Step: 6.9K | Data (t): 0.265 Batch (t): 1.216, 3380.13/s, 1690.07/s/gpu Logit Scale: 28.399 | Logit Bias: -10.687 | Lambda Scalar: 0.000 | Total_loss: -0.17963 (-0.16024) Joint_loss: 13.613 (12.550) Cross_loss: 2.0999 (2.0148) Image_lambda_loss: 1.6014e-06 (1.5950e-05) Text_lambda_loss: 4.0299e-06 (4.2838e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.03044818699548535 | | |
| 2025-01-24,05:57:00 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,05:57:00 | INFO | Building zero-shot classifier | |
| 2025-01-24,05:57:07 | INFO | Using classifier | |
| 2025-01-24,05:58:09 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,05:58:18 | INFO | Eval Epoch: 3 [1990 / 205824] Clip Loss: 3.019179 | |
| 2025-01-24,05:58:52 | INFO | Eval Epoch: 3 imagenet-zeroshot-val-top1: 0.0975 imagenet-zeroshot-val-top5: 0.2429 image_to_text_mean_rank: 111.7622 image_to_text_median_rank: 10.0000 image_to_text_R@1: 0.2198 image_to_text_R@5: 0.4168 image_to_text_R@10: 0.5113 text_to_image_mean_rank: 121.3223 text_to_image_median_rank: 10.0000 text_to_image_R@1: 0.2101 text_to_image_R@5: 0.4135 text_to_image_R@10: 0.5098 clip_val_loss: 2.9137 epoch: 3.0000 num_samples: 8678.0000 | |
| 2025-01-24,05:58:54 | INFO | Start epoch 3 | |
| 2025-01-24,05:59:04 | INFO | Train Epoch: 3 [ 3980/9193800 (0%)] Step: 6.9K | Data (t): 8.370 Batch (t): 9.215, 431.901/s, 215.951/s/gpu Logit Scale: 28.402 | Logit Bias: -10.687 | Lambda Scalar: 0.000 | Total_loss: -0.19558 (-0.19558) Joint_loss: 14.048 (14.048) Cross_loss: 2.0889 (2.0889) Image_lambda_loss: 1.5378e-05 (1.5378e-05) Text_lambda_loss: 1.6171e-05 (1.6171e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:01:03 | INFO | Train Epoch: 3 [ 401980/9193800 (4%)] Step: 7.0K | Data (t): 0.127 Batch (t): 1.193, 3179.99/s, 1589.99/s/gpu Logit Scale: 28.686 | Logit Bias: -10.697 | Lambda Scalar: 0.000 | Total_loss: -0.18669 (-0.19114) Joint_loss: 13.611 (13.829) Cross_loss: 1.8468 (1.9679) Image_lambda_loss: 4.0788e-05 (2.8083e-05) Text_lambda_loss: 1.0848e-05 (1.3510e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:03:04 | INFO | Train Epoch: 3 [ 799980/9193800 (9%)] Step: 7.1K | Data (t): 0.225 Batch (t): 1.213, 3289.01/s, 1644.50/s/gpu Logit Scale: 28.972 | Logit Bias: -10.707 | Lambda Scalar: 0.000 | Total_loss: -0.20615 (-0.19614) Joint_loss: 14.240 (13.966) Cross_loss: 1.8692 (1.9350) Image_lambda_loss: 6.7328e-07 (1.8947e-05) Text_lambda_loss: 8.3993e-07 (9.2863e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:05:04 | INFO | Train Epoch: 3 [1197980/9193800 (13%)] Step: 7.2K | Data (t): 0.229 Batch (t): 1.203, 3329.31/s, 1664.65/s/gpu Logit Scale: 29.260 | Logit Bias: -10.717 | Lambda Scalar: 0.000 | Total_loss: -0.19055 (-0.19474) Joint_loss: 13.997 (13.974) Cross_loss: 2.0149 (1.9550) Image_lambda_loss: 6.6162e-07 (1.4375e-05) Text_lambda_loss: 1.0954e-05 (9.7032e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:07:04 | INFO | Train Epoch: 3 [1595980/9193800 (17%)] Step: 7.3K | Data (t): 0.197 Batch (t): 1.192, 3394.84/s, 1697.42/s/gpu Logit Scale: 29.552 | Logit Bias: -10.727 | Lambda Scalar: 0.000 | Total_loss: -0.18325 (-0.19245) Joint_loss: 13.882 (13.956) Cross_loss: 2.0566 (1.9753) Image_lambda_loss: 8.5474e-07 (1.1671e-05) Text_lambda_loss: 1.1252e-06 (7.9876e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:08:59 | INFO | Train Epoch: 3 [1993980/9193800 (22%)] Step: 7.4K | Data (t): 0.206 Batch (t): 1.155, 3197.28/s, 1598.64/s/gpu Logit Scale: 29.847 | Logit Bias: -10.737 | Lambda Scalar: 0.000 | Total_loss: -0.19208 (-0.19238) Joint_loss: 14.083 (13.977) Cross_loss: 1.9442 (1.9701) Image_lambda_loss: 6.4994e-07 (9.8343e-06) Text_lambda_loss: 1.6548e-05 (9.4144e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:10:59 | INFO | Train Epoch: 3 [2391980/9193800 (26%)] Step: 7.5K | Data (t): 0.213 Batch (t): 1.198, 3646.08/s, 1823.04/s/gpu Logit Scale: 30.145 | Logit Bias: -10.747 | Lambda Scalar: 0.000 | Total_loss: -0.19339 (-0.19253) Joint_loss: 14.387 (14.035) Cross_loss: 2.1527 (1.9962) Image_lambda_loss: 4.8579e-06 (9.1234e-06) Text_lambda_loss: 1.5042e-06 (8.2844e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:13:01 | INFO | Train Epoch: 3 [2789980/9193800 (30%)] Step: 7.6K | Data (t): 0.222 Batch (t): 1.219, 3550.08/s, 1775.04/s/gpu Logit Scale: 30.445 | Logit Bias: -10.757 | Lambda Scalar: 0.000 | Total_loss: -0.18707 (-0.19184) Joint_loss: 14.165 (14.052) Cross_loss: 2.0613 (2.0043) Image_lambda_loss: 1.7817e-06 (8.2057e-06) Text_lambda_loss: 1.4514e-06 (7.4302e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:15:02 | INFO | Train Epoch: 3 [3187980/9193800 (35%)] Step: 7.7K | Data (t): 0.217 Batch (t): 1.216, 3338.05/s, 1669.02/s/gpu Logit Scale: 30.745 | Logit Bias: -10.766 | Lambda Scalar: 0.000 | Total_loss: -0.19093 (-0.19174) Joint_loss: 14.369 (14.087) Cross_loss: 2.0931 (2.0142) Image_lambda_loss: 1.6758e-05 (9.1560e-06) Text_lambda_loss: 1.4385e-06 (6.7645e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:17:02 | INFO | Train Epoch: 3 [3585980/9193800 (39%)] Step: 7.8K | Data (t): 0.211 Batch (t): 1.193, 3742.48/s, 1871.24/s/gpu Logit Scale: 31.052 | Logit Bias: -10.776 | Lambda Scalar: 0.000 | Total_loss: -0.19616 (-0.19218) Joint_loss: 14.458 (14.124) Cross_loss: 1.9639 (2.0092) Image_lambda_loss: 3.1755e-05 (1.1416e-05) Text_lambda_loss: 1.0319e-05 (7.1199e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:18:59 | INFO | Train Epoch: 3 [3983980/9193800 (43%)] Step: 7.9K | Data (t): 0.208 Batch (t): 1.177, 3198.02/s, 1599.01/s/gpu Logit Scale: 31.361 | Logit Bias: -10.786 | Lambda Scalar: 0.000 | Total_loss: -0.18974 (-0.19196) Joint_loss: 14.380 (14.147) Cross_loss: 2.0234 (2.0105) Image_lambda_loss: 2.1889e-05 (1.2368e-05) Text_lambda_loss: 1.9022e-05 (8.2019e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:21:02 | INFO | Train Epoch: 3 [4381980/9193800 (48%)] Step: 8.0K | Data (t): 0.195 Batch (t): 1.228, 3473.41/s, 1736.70/s/gpu Logit Scale: 31.674 | Logit Bias: -10.796 | Lambda Scalar: 0.000 | Total_loss: -0.17744 (-0.19075) Joint_loss: 14.214 (14.153) Cross_loss: 2.1810 (2.0247) Image_lambda_loss: 1.1076e-06 (1.1430e-05) Text_lambda_loss: 1.7334e-06 (7.6629e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:22:57 | INFO | Train Epoch: 3 [4779980/9193800 (52%)] Step: 8.1K | Data (t): 0.194 Batch (t): 1.144, 3632.67/s, 1816.33/s/gpu Logit Scale: 31.989 | Logit Bias: -10.806 | Lambda Scalar: 0.000 | Total_loss: -0.19319 (-0.19094) Joint_loss: 14.673 (14.193) Cross_loss: 2.0883 (2.0296) Image_lambda_loss: 7.4662e-07 (1.0608e-05) Text_lambda_loss: 5.5677e-06 (7.5017e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:24:50 | INFO | Train Epoch: 3 [5177980/9193800 (56%)] Step: 8.2K | Data (t): 0.194 Batch (t): 1.140, 3184.72/s, 1592.36/s/gpu Logit Scale: 32.308 | Logit Bias: -10.816 | Lambda Scalar: 0.000 | Total_loss: -0.19776 (-0.19143) Joint_loss: 14.772 (14.234) Cross_loss: 1.9804 (2.0260) Image_lambda_loss: 8.9810e-07 (9.9143e-06) Text_lambda_loss: 1.7903e-06 (7.0938e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:26:45 | INFO | Train Epoch: 3 [5575980/9193800 (61%)] Step: 8.3K | Data (t): 0.195 Batch (t): 1.144, 3553.46/s, 1776.73/s/gpu Logit Scale: 32.630 | Logit Bias: -10.826 | Lambda Scalar: 0.000 | Total_loss: -0.19307 (-0.19154) Joint_loss: 14.748 (14.268) Cross_loss: 2.0429 (2.0272) Image_lambda_loss: 1.2947e-05 (1.0116e-05) Text_lambda_loss: 1.7106e-06 (6.7349e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:28:38 | INFO | Train Epoch: 3 [5973980/9193800 (65%)] Step: 8.4K | Data (t): 0.188 Batch (t): 1.136, 3686.07/s, 1843.04/s/gpu Logit Scale: 32.956 | Logit Bias: -10.836 | Lambda Scalar: 0.000 | Total_loss: -0.19033 (-0.19146) Joint_loss: 14.686 (14.295) Cross_loss: 2.0072 (2.0259) Image_lambda_loss: 1.0156e-06 (9.5476e-06) Text_lambda_loss: 2.0487e-06 (6.4420e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:30:33 | INFO | Train Epoch: 3 [6371980/9193800 (69%)] Step: 8.5K | Data (t): 0.194 Batch (t): 1.144, 3446.86/s, 1723.43/s/gpu Logit Scale: 33.284 | Logit Bias: -10.846 | Lambda Scalar: 0.000 | Total_loss: -0.19158 (-0.19147) Joint_loss: 14.638 (14.315) Cross_loss: 1.8562 (2.0159) Image_lambda_loss: 6.3082e-06 (9.3571e-06) Text_lambda_loss: 1.2482e-05 (6.7973e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:32:26 | INFO | Train Epoch: 3 [6769980/9193800 (74%)] Step: 8.6K | Data (t): 0.193 Batch (t): 1.132, 3176.64/s, 1588.32/s/gpu Logit Scale: 33.429 | Logit Bias: -10.850 | Lambda Scalar: 0.000 | Total_loss: -0.19612 (-0.19173) Joint_loss: 15.067 (14.357) Cross_loss: 2.1071 (2.0210) Image_lambda_loss: 1.7122e-06 (8.9324e-06) Text_lambda_loss: 2.6025e-06 (6.5642e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:34:19 | INFO | Train Epoch: 3 [7167980/9193800 (78%)] Step: 8.7K | Data (t): 0.187 Batch (t): 1.128, 3619.76/s, 1809.88/s/gpu Logit Scale: 33.540 | Logit Bias: -10.854 | Lambda Scalar: 0.000 | Total_loss: -0.18780 (-0.19152) Joint_loss: 14.548 (14.367) Cross_loss: 1.8419 (2.0116) Image_lambda_loss: 2.8009e-05 (9.9364e-06) Text_lambda_loss: 1.4334e-05 (6.9732e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:36:13 | INFO | Train Epoch: 3 [7565980/9193800 (82%)] Step: 8.8K | Data (t): 0.188 Batch (t): 1.145, 2755.99/s, 1378.00/s/gpu Logit Scale: 33.651 | Logit Bias: -10.857 | Lambda Scalar: 0.000 | Total_loss: -0.19343 (-0.19161) Joint_loss: 14.902 (14.393) Cross_loss: 1.9876 (2.0104) Image_lambda_loss: 2.5470e-06 (9.5669e-06) Text_lambda_loss: 1.8255e-06 (6.7158e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:38:08 | INFO | Train Epoch: 3 [7963980/9193800 (87%)] Step: 8.9K | Data (t): 0.192 Batch (t): 1.141, 3485.81/s, 1742.90/s/gpu Logit Scale: 33.763 | Logit Bias: -10.860 | Lambda Scalar: 0.000 | Total_loss: -0.20014 (-0.19202) Joint_loss: 15.297 (14.436) Cross_loss: 2.1377 (2.0164) Image_lambda_loss: 3.7210e-06 (9.2885e-06) Text_lambda_loss: 4.2773e-06 (6.5997e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:40:02 | INFO | Train Epoch: 3 [8361980/9193800 (91%)] Step: 9.0K | Data (t): 0.087 Batch (t): 1.145, 4348.79/s, 2174.39/s/gpu Logit Scale: 33.875 | Logit Bias: -10.864 | Lambda Scalar: 0.000 | Total_loss: -0.20115 (-0.19244) Joint_loss: 15.242 (14.473) Cross_loss: 2.0272 (2.0169) Image_lambda_loss: 1.3308e-06 (8.9268e-06) Text_lambda_loss: 3.9862e-06 (6.4809e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:41:56 | INFO | Train Epoch: 3 [8759980/9193800 (95%)] Step: 9.1K | Data (t): 0.077 Batch (t): 1.135, 2528.81/s, 1264.41/s/gpu Logit Scale: 33.987 | Logit Bias: -10.867 | Lambda Scalar: 0.000 | Total_loss: -0.20234 (-0.19287) Joint_loss: 15.463 (14.516) Cross_loss: 2.1853 (2.0243) Image_lambda_loss: 1.4086e-06 (8.5999e-06) Text_lambda_loss: 2.4844e-06 (6.3071e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:43:47 | INFO | Train Epoch: 3 [9157980/9193800 (100%)] Step: 9.2K | Data (t): 0.118 Batch (t): 1.114, 4307.71/s, 2153.86/s/gpu Logit Scale: 34.100 | Logit Bias: -10.870 | Lambda Scalar: 0.000 | Total_loss: -0.20215 (-0.19325) Joint_loss: 15.217 (14.545) Cross_loss: 1.9235 (2.0201) Image_lambda_loss: 1.2328e-05 (8.7553e-06) Text_lambda_loss: 4.7372e-06 (6.2417e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:43:58 | INFO | Train Epoch: 3 [9193800/9193800 (100%)] Step: 9.2K | Data (t): 0.158 Batch (t): 1.194, 3478.79/s, 1739.40/s/gpu Logit Scale: 34.110 | Logit Bias: -10.871 | Lambda Scalar: 0.000 | Total_loss: -0.20541 (-0.19374) Joint_loss: 15.463 (14.582) Cross_loss: 2.0578 (2.0216) Image_lambda_loss: 3.1742e-06 (8.5321e-06) Text_lambda_loss: 2.6743e-05 (7.0617e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.0674121550789819 | | |
| 2025-01-24,06:43:58 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,06:43:58 | INFO | Building zero-shot classifier | |
| 2025-01-24,06:44:05 | INFO | Using classifier | |
| 2025-01-24,06:45:07 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,06:45:15 | INFO | Eval Epoch: 4 [1990 / 205824] Clip Loss: 2.617003 | |
| 2025-01-24,06:45:47 | INFO | Eval Epoch: 4 imagenet-zeroshot-val-top1: 0.1260 imagenet-zeroshot-val-top5: 0.2952 image_to_text_mean_rank: 83.3724 image_to_text_median_rank: 6.0000 image_to_text_R@1: 0.2738 image_to_text_R@5: 0.4896 image_to_text_R@10: 0.5877 text_to_image_mean_rank: 93.8957 text_to_image_median_rank: 6.0000 text_to_image_R@1: 0.2645 text_to_image_R@5: 0.4863 text_to_image_R@10: 0.5822 clip_val_loss: 2.5277 epoch: 4.0000 num_samples: 8678.0000 | |
| 2025-01-24,06:45:48 | INFO | Start epoch 4 | |
| 2025-01-24,06:45:58 | INFO | Train Epoch: 4 [ 3980/9193800 (0%)] Step: 9.2K | Data (t): 8.483 Batch (t): 9.417, 422.618/s, 211.309/s/gpu Logit Scale: 34.111 | Logit Bias: -10.871 | Lambda Scalar: 0.000 | Total_loss: -0.21623 (-0.21623) Joint_loss: 15.742 (15.742) Cross_loss: 1.9724 (1.9724) Image_lambda_loss: 3.5600e-05 (3.5600e-05) Text_lambda_loss: 0.00027888 (0.00027888) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,06:47:52 | INFO | Train Epoch: 4 [ 401980/9193800 (4%)] Step: 9.3K | Data (t): 0.094 Batch (t): 1.146, 4226.32/s, 2113.16/s/gpu Logit Scale: 34.224 | Logit Bias: -10.874 | Lambda Scalar: 0.000 | Total_loss: -0.22066 (-0.21845) Joint_loss: 16.034 (15.888) Cross_loss: 2.0905 (2.0314) Image_lambda_loss: 8.4136e-07 (1.8221e-05) Text_lambda_loss: 5.4407e-07 (0.00013971) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,06:49:46 | INFO | Train Epoch: 4 [ 799980/9193800 (9%)] Step: 9.4K | Data (t): 0.109 Batch (t): 1.132, 3537.13/s, 1768.56/s/gpu Logit Scale: 34.337 | Logit Bias: -10.877 | Lambda Scalar: 0.000 | Total_loss: -0.20501 (-0.21397) Joint_loss: 15.256 (15.677) Cross_loss: 1.8177 (1.9602) Image_lambda_loss: 5.6619e-07 (1.2336e-05) Text_lambda_loss: 1.0229e-06 (9.3483e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,06:51:39 | INFO | Train Epoch: 4 [1197980/9193800 (13%)] Step: 9.5K | Data (t): 0.102 Batch (t): 1.137, 3093.37/s, 1546.69/s/gpu Logit Scale: 34.451 | Logit Bias: -10.881 | Lambda Scalar: 0.000 | Total_loss: -0.19901 (-0.21023) Joint_loss: 15.098 (15.532) Cross_loss: 1.8396 (1.9300) Image_lambda_loss: 7.0072e-07 (9.4270e-06) Text_lambda_loss: 7.3255e-06 (7.1943e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,06:53:32 | INFO | Train Epoch: 4 [1595980/9193800 (17%)] Step: 9.6K | Data (t): 0.095 Batch (t): 1.129, 4400.77/s, 2200.38/s/gpu Logit Scale: 34.565 | Logit Bias: -10.884 | Lambda Scalar: 0.000 | Total_loss: -0.20787 (-0.20976) Joint_loss: 15.575 (15.541) Cross_loss: 1.9925 (1.9425) Image_lambda_loss: 6.8896e-07 (7.6794e-06) Text_lambda_loss: 5.3759e-06 (5.8630e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,06:55:26 | INFO | Train Epoch: 4 [1993980/9193800 (22%)] Step: 9.7K | Data (t): 0.159 Batch (t): 1.134, 3123.41/s, 1561.71/s/gpu Logit Scale: 34.680 | Logit Bias: -10.887 | Lambda Scalar: 0.000 | Total_loss: -0.21193 (-0.21012) Joint_loss: 15.650 (15.559) Cross_loss: 1.9045 (1.9362) Image_lambda_loss: 1.1612e-06 (6.5930e-06) Text_lambda_loss: 8.4271e-07 (4.8999e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,06:57:19 | INFO | Train Epoch: 4 [2391980/9193800 (26%)] Step: 9.8K | Data (t): 0.160 Batch (t): 1.134, 3745.48/s, 1872.74/s/gpu Logit Scale: 34.795 | Logit Bias: -10.891 | Lambda Scalar: 0.000 | Total_loss: -0.20748 (-0.20974) Joint_loss: 15.722 (15.582) Cross_loss: 2.1048 (1.9603) Image_lambda_loss: 1.5522e-06 (5.8729e-06) Text_lambda_loss: 5.3289e-05 (4.9612e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,06:59:13 | INFO | Train Epoch: 4 [2789980/9193800 (30%)] Step: 9.9K | Data (t): 0.130 Batch (t): 1.135, 3783.77/s, 1891.88/s/gpu Logit Scale: 34.910 | Logit Bias: -10.894 | Lambda Scalar: 0.000 | Total_loss: -0.20943 (-0.20970) Joint_loss: 15.852 (15.616) Cross_loss: 2.1443 (1.9833) Image_lambda_loss: 6.6847e-07 (5.2224e-06) Text_lambda_loss: 3.3762e-06 (4.3832e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:01:10 | INFO | Train Epoch: 4 [3187980/9193800 (35%)] Step: 10.0K | Data (t): 0.118 Batch (t): 1.170, 3357.23/s, 1678.61/s/gpu Logit Scale: 35.026 | Logit Bias: -10.897 | Lambda Scalar: 0.000 | Total_loss: -0.20617 (-0.20931) Joint_loss: 15.640 (15.619) Cross_loss: 2.0201 (1.9874) Image_lambda_loss: 8.8661e-07 (4.7406e-06) Text_lambda_loss: 3.8646e-05 (4.3256e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:03:06 | INFO | Train Epoch: 4 [3585980/9193800 (39%)] Step: 10.1K | Data (t): 0.154 Batch (t): 1.163, 3474.81/s, 1737.40/s/gpu Logit Scale: 35.142 | Logit Bias: -10.901 | Lambda Scalar: 0.000 | Total_loss: -0.21535 (-0.20991) Joint_loss: 15.955 (15.652) Cross_loss: 1.9936 (1.9880) Image_lambda_loss: 1.9237e-06 (4.4589e-06) Text_lambda_loss: 7.9503e-06 (3.9725e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:05:03 | INFO | Train Epoch: 4 [3983980/9193800 (43%)] Step: 10.2K | Data (t): 0.202 Batch (t): 1.170, 3715.95/s, 1857.98/s/gpu Logit Scale: 35.259 | Logit Bias: -10.904 | Lambda Scalar: 0.000 | Total_loss: -0.20374 (-0.20935) Joint_loss: 15.619 (15.649) Cross_loss: 2.0356 (1.9923) Image_lambda_loss: 7.1853e-07 (4.1189e-06) Text_lambda_loss: 3.0066e-05 (3.8847e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:07:01 | INFO | Train Epoch: 4 [4381980/9193800 (48%)] Step: 10.3K | Data (t): 0.206 Batch (t): 1.182, 3271.71/s, 1635.86/s/gpu Logit Scale: 35.374 | Logit Bias: -10.907 | Lambda Scalar: 0.000 | Total_loss: -0.21130 (-0.20952) Joint_loss: 15.811 (15.663) Cross_loss: 1.9406 (1.9880) Image_lambda_loss: 7.8989e-05 (1.0358e-05) Text_lambda_loss: 1.3780e-06 (3.5725e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:08:58 | INFO | Train Epoch: 4 [4779980/9193800 (52%)] Step: 10.4K | Data (t): 0.212 Batch (t): 1.174, 3619.83/s, 1809.91/s/gpu Logit Scale: 35.492 | Logit Bias: -10.911 | Lambda Scalar: 0.000 | Total_loss: -0.21762 (-0.21014) Joint_loss: 16.203 (15.704) Cross_loss: 2.0867 (1.9956) Image_lambda_loss: 0.00057707 (5.3951e-05) Text_lambda_loss: 1.5505e-06 (3.3096e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:10:55 | INFO | Train Epoch: 4 [5177980/9193800 (56%)] Step: 10.5K | Data (t): 0.191 Batch (t): 1.162, 3683.46/s, 1841.73/s/gpu Logit Scale: 35.609 | Logit Bias: -10.914 | Lambda Scalar: 0.000 | Total_loss: -0.20863 (-0.21003) Joint_loss: 15.751 (15.708) Cross_loss: 1.9252 (1.9906) Image_lambda_loss: 1.0134e-06 (5.0170e-05) Text_lambda_loss: 1.3265e-06 (3.0827e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:12:50 | INFO | Train Epoch: 4 [5575980/9193800 (61%)] Step: 10.6K | Data (t): 0.211 Batch (t): 1.151, 3071.20/s, 1535.60/s/gpu Logit Scale: 35.727 | Logit Bias: -10.917 | Lambda Scalar: 0.000 | Total_loss: -0.20921 (-0.20998) Joint_loss: 15.925 (15.722) Cross_loss: 2.0539 (1.9948) Image_lambda_loss: 9.0060e-07 (4.6885e-05) Text_lambda_loss: 1.7636e-06 (2.8889e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:14:45 | INFO | Train Epoch: 4 [5973980/9193800 (65%)] Step: 10.7K | Data (t): 0.205 Batch (t): 1.149, 3771.20/s, 1885.60/s/gpu Logit Scale: 35.846 | Logit Bias: -10.921 | Lambda Scalar: 0.000 | Total_loss: -0.21306 (-0.21017) Joint_loss: 16.090 (15.745) Cross_loss: 2.0581 (1.9988) Image_lambda_loss: 1.0265e-06 (4.4019e-05) Text_lambda_loss: 1.8829e-06 (2.7201e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:16:38 | INFO | Train Epoch: 4 [6371980/9193800 (69%)] Step: 10.8K | Data (t): 0.195 Batch (t): 1.139, 3492.97/s, 1746.49/s/gpu Logit Scale: 35.965 | Logit Bias: -10.924 | Lambda Scalar: 0.000 | Total_loss: -0.21878 (-0.21068) Joint_loss: 16.388 (15.783) Cross_loss: 2.1275 (2.0063) Image_lambda_loss: 1.8200e-05 (4.2500e-05) Text_lambda_loss: 3.5305e-06 (2.5809e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:18:37 | INFO | Train Epoch: 4 [6769980/9193800 (74%)] Step: 10.9K | Data (t): 0.195 Batch (t): 1.184, 3234.70/s, 1617.35/s/gpu Logit Scale: 36.084 | Logit Bias: -10.927 | Lambda Scalar: 0.000 | Total_loss: -0.21384 (-0.21085) Joint_loss: 16.175 (15.805) Cross_loss: 2.0642 (2.0096) Image_lambda_loss: 6.9426e-07 (4.0178e-05) Text_lambda_loss: 2.9898e-06 (2.4541e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:20:34 | INFO | Train Epoch: 4 [7167980/9193800 (78%)] Step: 11.0K | Data (t): 0.195 Batch (t): 1.167, 3696.41/s, 1848.20/s/gpu Logit Scale: 36.204 | Logit Bias: -10.931 | Lambda Scalar: 0.000 | Total_loss: -0.21504 (-0.21107) Joint_loss: 16.388 (15.835) Cross_loss: 2.2090 (2.0201) Image_lambda_loss: 9.7957e-07 (3.8115e-05) Text_lambda_loss: 1.9256e-06 (2.3351e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:22:30 | INFO | Train Epoch: 4 [7565980/9193800 (82%)] Step: 11.1K | Data (t): 0.203 Batch (t): 1.162, 3649.32/s, 1824.66/s/gpu Logit Scale: 36.324 | Logit Bias: -10.934 | Lambda Scalar: 0.000 | Total_loss: -0.20943 (-0.21099) Joint_loss: 16.068 (15.847) Cross_loss: 2.0642 (2.0223) Image_lambda_loss: 1.0371e-06 (3.6261e-05) Text_lambda_loss: 1.6296e-06 (2.2265e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:24:27 | INFO | Train Epoch: 4 [7963980/9193800 (87%)] Step: 11.2K | Data (t): 0.204 Batch (t): 1.172, 3346.90/s, 1673.45/s/gpu Logit Scale: 36.444 | Logit Bias: -10.937 | Lambda Scalar: 0.000 | Total_loss: -0.20988 (-0.21094) Joint_loss: 15.988 (15.854) Cross_loss: 1.9430 (2.0185) Image_lambda_loss: 7.8456e-07 (3.4571e-05) Text_lambda_loss: 0.00013668 (2.7713e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:26:21 | INFO | Train Epoch: 4 [8361980/9193800 (91%)] Step: 11.3K | Data (t): 0.080 Batch (t): 1.142, 3724.53/s, 1862.27/s/gpu Logit Scale: 36.565 | Logit Bias: -10.941 | Lambda Scalar: 0.000 | Total_loss: -0.22342 (-0.21150) Joint_loss: 16.598 (15.888) Cross_loss: 2.0387 (2.0194) Image_lambda_loss: 1.1436e-06 (3.3052e-05) Text_lambda_loss: 0.00024126 (3.7420e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:28:14 | INFO | Train Epoch: 4 [8759980/9193800 (95%)] Step: 11.4K | Data (t): 0.107 Batch (t): 1.127, 2682.62/s, 1341.31/s/gpu Logit Scale: 36.686 | Logit Bias: -10.944 | Lambda Scalar: 0.000 | Total_loss: -0.22725 (-0.21219) Joint_loss: 16.852 (15.930) Cross_loss: 2.1271 (2.0241) Image_lambda_loss: 7.0613e-06 (3.1922e-05) Text_lambda_loss: 2.2551e-06 (3.5891e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:30:08 | INFO | Train Epoch: 4 [9157980/9193800 (100%)] Step: 11.5K | Data (t): 0.177 Batch (t): 1.136, 3979.96/s, 1989.98/s/gpu Logit Scale: 36.808 | Logit Bias: -10.947 | Lambda Scalar: 0.000 | Total_loss: -0.23041 (-0.21295) Joint_loss: 16.913 (15.971) Cross_loss: 2.0453 (2.0250) Image_lambda_loss: 4.3129e-06 (3.0772e-05) Text_lambda_loss: 2.7390e-06 (3.4510e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:30:18 | INFO | Train Epoch: 4 [9193800/9193800 (100%)] Step: 11.5K | Data (t): 0.194 Batch (t): 1.158, 3576.94/s, 1788.47/s/gpu Logit Scale: 36.819 | Logit Bias: -10.948 | Lambda Scalar: 0.000 | Total_loss: -0.23282 (-0.21374) Joint_loss: 16.939 (16.009) Cross_loss: 1.9812 (2.0232) Image_lambda_loss: 1.4245e-06 (2.9598e-05) Text_lambda_loss: 2.2030e-06 (3.3217e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.11715728752538102 | | |
| 2025-01-24,07:30:18 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,07:30:18 | INFO | Building zero-shot classifier | |
| 2025-01-24,07:30:25 | INFO | Using classifier | |
| 2025-01-24,07:31:25 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,07:31:34 | INFO | Eval Epoch: 5 [1990 / 205824] Clip Loss: 2.351765 | |
| 2025-01-24,07:32:07 | INFO | Eval Epoch: 5 imagenet-zeroshot-val-top1: 0.1518 imagenet-zeroshot-val-top5: 0.3453 image_to_text_mean_rank: 64.6586 image_to_text_median_rank: 4.0000 image_to_text_R@1: 0.3172 image_to_text_R@5: 0.5507 image_to_text_R@10: 0.6466 text_to_image_mean_rank: 72.8421 text_to_image_median_rank: 4.0000 text_to_image_R@1: 0.3178 text_to_image_R@5: 0.5493 text_to_image_R@10: 0.6446 clip_val_loss: 2.2217 epoch: 5.0000 num_samples: 8678.0000 | |
| 2025-01-24,07:32:09 | INFO | Start epoch 5 | |
| 2025-01-24,07:32:18 | INFO | Train Epoch: 5 [ 3980/9193800 (0%)] Step: 11.6K | Data (t): 8.390 Batch (t): 9.244, 430.544/s, 215.272/s/gpu Logit Scale: 36.820 | Logit Bias: -10.948 | Lambda Scalar: 0.000 | Total_loss: -0.22540 (-0.22540) Joint_loss: 16.729 (16.729) Cross_loss: 2.0412 (2.0412) Image_lambda_loss: 6.8292e-07 (6.8292e-07) Text_lambda_loss: 2.5653e-07 (2.5653e-07) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:34:18 | INFO | Train Epoch: 5 [ 401980/9193800 (4%)] Step: 11.7K | Data (t): 0.151 Batch (t): 1.198, 3658.95/s, 1829.47/s/gpu Logit Scale: 36.942 | Logit Bias: -10.951 | Lambda Scalar: 0.000 | Total_loss: -0.24116 (-0.23328) Joint_loss: 17.337 (17.033) Cross_loss: 2.0468 (2.0440) Image_lambda_loss: 6.9770e-07 (6.9031e-07) Text_lambda_loss: 1.1507e-05 (5.8816e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:36:17 | INFO | Train Epoch: 5 [ 799980/9193800 (9%)] Step: 11.8K | Data (t): 0.203 Batch (t): 1.190, 3006.57/s, 1503.28/s/gpu Logit Scale: 37.065 | Logit Bias: -10.954 | Lambda Scalar: 0.000 | Total_loss: -0.23224 (-0.23294) Joint_loss: 17.066 (17.044) Cross_loss: 2.0731 (2.0537) Image_lambda_loss: 2.4533e-05 (8.6379e-06) Text_lambda_loss: 1.0099e-06 (4.2577e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:38:16 | INFO | Train Epoch: 5 [1197980/9193800 (13%)] Step: 11.8K | Data (t): 0.200 Batch (t): 1.193, 3403.51/s, 1701.75/s/gpu Logit Scale: 37.187 | Logit Bias: -10.958 | Lambda Scalar: 0.000 | Total_loss: -0.22092 (-0.22993) Joint_loss: 16.724 (16.964) Cross_loss: 2.1182 (2.0698) Image_lambda_loss: 1.2043e-06 (6.7795e-06) Text_lambda_loss: 1.4645e-06 (3.5594e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:40:15 | INFO | Train Epoch: 5 [1595980/9193800 (17%)] Step: 11.9K | Data (t): 0.205 Batch (t): 1.190, 3306.14/s, 1653.07/s/gpu Logit Scale: 37.311 | Logit Bias: -10.961 | Lambda Scalar: 0.000 | Total_loss: -0.23408 (-0.23076) Joint_loss: 17.086 (16.989) Cross_loss: 1.9681 (2.0495) Image_lambda_loss: 1.4604e-05 (8.3444e-06) Text_lambda_loss: 7.5025e-07 (2.9976e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:42:14 | INFO | Train Epoch: 5 [1993980/9193800 (22%)] Step: 12.1K | Data (t): 0.201 Batch (t): 1.192, 3290.17/s, 1645.08/s/gpu Logit Scale: 37.434 | Logit Bias: -10.964 | Lambda Scalar: 0.000 | Total_loss: -0.22433 (-0.22969) Joint_loss: 16.837 (16.963) Cross_loss: 2.0499 (2.0495) Image_lambda_loss: 7.2211e-07 (7.0741e-06) Text_lambda_loss: 7.5998e-07 (2.6246e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:44:14 | INFO | Train Epoch: 5 [2391980/9193800 (26%)] Step: 12.2K | Data (t): 0.199 Batch (t): 1.194, 3403.26/s, 1701.63/s/gpu Logit Scale: 37.558 | Logit Bias: -10.968 | Lambda Scalar: 0.000 | Total_loss: -0.22775 (-0.22941) Joint_loss: 16.940 (16.960) Cross_loss: 1.9984 (2.0422) Image_lambda_loss: 7.0353e-07 (6.1640e-06) Text_lambda_loss: 1.4193e-05 (4.2772e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:46:12 | INFO | Train Epoch: 5 [2789980/9193800 (30%)] Step: 12.2K | Data (t): 0.202 Batch (t): 1.183, 3611.30/s, 1805.65/s/gpu Logit Scale: 37.683 | Logit Bias: -10.971 | Lambda Scalar: 0.000 | Total_loss: -0.20855 (-0.22680) Joint_loss: 16.366 (16.886) Cross_loss: 2.1096 (2.0507) Image_lambda_loss: 2.1479e-06 (5.6620e-06) Text_lambda_loss: 1.3260e-06 (3.9083e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:48:10 | INFO | Train Epoch: 5 [3187980/9193800 (35%)] Step: 12.3K | Data (t): 0.202 Batch (t): 1.180, 3383.81/s, 1691.91/s/gpu Logit Scale: 37.807 | Logit Bias: -10.974 | Lambda Scalar: 0.000 | Total_loss: -0.22757 (-0.22689) Joint_loss: 16.886 (16.886) Cross_loss: 1.8951 (2.0334) Image_lambda_loss: 5.6682e-07 (5.0958e-06) Text_lambda_loss: 9.3509e-06 (4.5131e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:50:07 | INFO | Train Epoch: 5 [3585980/9193800 (39%)] Step: 12.4K | Data (t): 0.198 Batch (t): 1.169, 3411.37/s, 1705.69/s/gpu Logit Scale: 37.932 | Logit Bias: -10.978 | Lambda Scalar: 0.000 | Total_loss: -0.22762 (-0.22696) Joint_loss: 17.024 (16.900) Cross_loss: 2.0025 (2.0303) Image_lambda_loss: 8.5630e-05 (1.3149e-05) Text_lambda_loss: 1.2702e-06 (4.1888e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:52:03 | INFO | Train Epoch: 5 [3983980/9193800 (43%)] Step: 12.6K | Data (t): 0.207 Batch (t): 1.159, 3355.54/s, 1677.77/s/gpu Logit Scale: 38.058 | Logit Bias: -10.981 | Lambda Scalar: 0.000 | Total_loss: -0.22647 (-0.22692) Joint_loss: 16.932 (16.903) Cross_loss: 1.9246 (2.0207) Image_lambda_loss: 1.1021e-06 (1.2054e-05) Text_lambda_loss: 3.6934e-06 (4.1437e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:53:58 | INFO | Train Epoch: 5 [4381980/9193800 (48%)] Step: 12.7K | Data (t): 0.208 Batch (t): 1.156, 3781.68/s, 1890.84/s/gpu Logit Scale: 38.184 | Logit Bias: -10.984 | Lambda Scalar: 0.000 | Total_loss: -0.22690 (-0.22692) Joint_loss: 16.992 (16.910) Cross_loss: 1.9405 (2.0140) Image_lambda_loss: 0.00010467 (1.9772e-05) Text_lambda_loss: 1.3066e-06 (3.9073e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:55:50 | INFO | Train Epoch: 5 [4779980/9193800 (52%)] Step: 12.8K | Data (t): 0.201 Batch (t): 1.118, 3776.50/s, 1888.25/s/gpu Logit Scale: 38.310 | Logit Bias: -10.988 | Lambda Scalar: 0.000 | Total_loss: -0.22376 (-0.22667) Joint_loss: 16.897 (16.909) Cross_loss: 1.9347 (2.0079) Image_lambda_loss: 7.5493e-06 (1.8832e-05) Text_lambda_loss: 2.2001e-06 (3.7760e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:57:43 | INFO | Train Epoch: 5 [5177980/9193800 (56%)] Step: 12.8K | Data (t): 0.199 Batch (t): 1.135, 3540.28/s, 1770.14/s/gpu Logit Scale: 38.437 | Logit Bias: -10.991 | Lambda Scalar: 0.000 | Total_loss: -0.22111 (-0.22628) Joint_loss: 16.994 (16.915) Cross_loss: 2.1040 (2.0148) Image_lambda_loss: 8.9118e-07 (1.7550e-05) Text_lambda_loss: 3.6784e-06 (3.7690e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,07:59:38 | INFO | Train Epoch: 5 [5575980/9193800 (61%)] Step: 12.9K | Data (t): 0.204 Batch (t): 1.142, 3714.21/s, 1857.11/s/gpu Logit Scale: 38.564 | Logit Bias: -10.994 | Lambda Scalar: 0.000 | Total_loss: -0.22783 (-0.22638) Joint_loss: 17.052 (16.924) Cross_loss: 1.8784 (2.0057) Image_lambda_loss: 6.7738e-07 (1.6425e-05) Text_lambda_loss: 4.7996e-06 (3.8377e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,08:01:32 | INFO | Train Epoch: 5 [5973980/9193800 (65%)] Step: 13.1K | Data (t): 0.201 Batch (t): 1.145, 3656.51/s, 1828.26/s/gpu Logit Scale: 38.692 | Logit Bias: -10.998 | Lambda Scalar: 0.000 | Total_loss: -0.22899 (-0.22654) Joint_loss: 17.140 (16.938) Cross_loss: 1.8933 (1.9986) Image_lambda_loss: 6.9755e-07 (1.5442e-05) Text_lambda_loss: 1.0165e-06 (3.6614e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,08:03:26 | INFO | Train Epoch: 5 [6371980/9193800 (69%)] Step: 13.2K | Data (t): 0.195 Batch (t): 1.141, 3307.93/s, 1653.96/s/gpu Logit Scale: 38.820 | Logit Bias: -11.001 | Lambda Scalar: 0.000 | Total_loss: -0.23280 (-0.22691) Joint_loss: 17.563 (16.975) Cross_loss: 2.1408 (2.0070) Image_lambda_loss: 8.0397e-07 (1.4581e-05) Text_lambda_loss: 8.1785e-06 (3.9271e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,08:05:19 | INFO | Train Epoch: 5 [6769980/9193800 (74%)] Step: 13.2K | Data (t): 0.193 Batch (t): 1.124, 3793.19/s, 1896.60/s/gpu Logit Scale: 38.949 | Logit Bias: -11.004 | Lambda Scalar: 0.000 | Total_loss: -0.22695 (-0.22691) Joint_loss: 17.189 (16.986) Cross_loss: 1.9613 (2.0045) Image_lambda_loss: 9.2780e-07 (1.3823e-05) Text_lambda_loss: 2.8054e-05 (5.2675e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,08:07:12 | INFO | Train Epoch: 5 [7167980/9193800 (78%)] Step: 13.3K | Data (t): 0.200 Batch (t): 1.129, 3384.63/s, 1692.32/s/gpu Logit Scale: 39.078 | Logit Bias: -11.008 | Lambda Scalar: 0.000 | Total_loss: -0.23466 (-0.22732) Joint_loss: 17.496 (17.013) Cross_loss: 1.9411 (2.0011) Image_lambda_loss: 1.4953e-06 (1.3174e-05) Text_lambda_loss: 2.3025e-06 (5.1114e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,08:09:05 | INFO | Train Epoch: 5 [7565980/9193800 (82%)] Step: 13.4K | Data (t): 0.199 Batch (t): 1.136, 3580.72/s, 1790.36/s/gpu Logit Scale: 39.208 | Logit Bias: -11.011 | Lambda Scalar: 0.000 | Total_loss: -0.22915 (-0.22741) Joint_loss: 17.444 (17.035) Cross_loss: 2.0725 (2.0047) Image_lambda_loss: 2.4819e-05 (1.3756e-05) Text_lambda_loss: 5.4859e-05 (7.5988e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,08:11:00 | INFO | Train Epoch: 5 [7963980/9193800 (87%)] Step: 13.6K | Data (t): 0.191 Batch (t): 1.146, 3718.48/s, 1859.24/s/gpu Logit Scale: 39.338 | Logit Bias: -11.014 | Lambda Scalar: 0.000 | Total_loss: -0.22923 (-0.22750) Joint_loss: 17.575 (17.060) Cross_loss: 2.1704 (2.0126) Image_lambda_loss: 4.5989e-05 (1.5291e-05) Text_lambda_loss: 1.0930e-06 (7.2890e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,08:12:57 | INFO | Train Epoch: 5 [8361980/9193800 (91%)] Step: 13.7K | Data (t): 0.137 Batch (t): 1.167, 3794.59/s, 1897.29/s/gpu Logit Scale: 39.468 | Logit Bias: -11.018 | Lambda Scalar: 0.000 | Total_loss: -0.23704 (-0.22793) Joint_loss: 17.671 (17.088) Cross_loss: 1.9322 (2.0089) Image_lambda_loss: 1.1350e-06 (1.4648e-05) Text_lambda_loss: 8.8129e-06 (7.3583e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,08:14:50 | INFO | Train Epoch: 5 [8759980/9193800 (95%)] Step: 13.8K | Data (t): 0.114 Batch (t): 1.140, 3614.89/s, 1807.45/s/gpu Logit Scale: 39.599 | Logit Bias: -11.021 | Lambda Scalar: 0.000 | Total_loss: -0.23741 (-0.22834) Joint_loss: 17.707 (17.115) Cross_loss: 1.9230 (2.0052) Image_lambda_loss: 3.2647e-06 (1.4153e-05) Text_lambda_loss: 3.3920e-06 (7.1858e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,08:16:45 | INFO | Train Epoch: 5 [9157980/9193800 (100%)] Step: 13.8K | Data (t): 0.138 Batch (t): 1.144, 3139.00/s, 1569.50/s/gpu Logit Scale: 39.730 | Logit Bias: -11.024 | Lambda Scalar: 0.000 | Total_loss: -0.24222 (-0.22892) Joint_loss: 17.941 (17.150) Cross_loss: 1.9377 (2.0024) Image_lambda_loss: 2.4641e-06 (1.3666e-05) Text_lambda_loss: 1.5264e-06 (6.9500e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,08:16:55 | INFO | Train Epoch: 5 [9193800/9193800 (100%)] Step: 13.9K | Data (t): 0.180 Batch (t): 1.145, 3591.56/s, 1795.78/s/gpu Logit Scale: 39.742 | Logit Bias: -11.025 | Lambda Scalar: 0.000 | Total_loss: -0.24582 (-0.22960) Joint_loss: 18.132 (17.189) Cross_loss: 1.9846 (2.0017) Image_lambda_loss: 1.1596e-06 (1.3165e-05) Text_lambda_loss: 1.1708e-06 (6.7188e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.17777190679215915 | | |
| 2025-01-24,08:16:55 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,08:16:55 | INFO | Building zero-shot classifier | |
| 2025-01-24,08:17:02 | INFO | Using classifier | |
| 2025-01-24,08:18:03 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,08:18:11 | INFO | Eval Epoch: 6 [1990 / 205824] Clip Loss: 2.151898 | |
| 2025-01-24,08:18:42 | INFO | Eval Epoch: 6 imagenet-zeroshot-val-top1: 0.1719 imagenet-zeroshot-val-top5: 0.3763 image_to_text_mean_rank: 55.2465 image_to_text_median_rank: 3.0000 image_to_text_R@1: 0.3484 image_to_text_R@5: 0.5820 image_to_text_R@10: 0.6756 text_to_image_mean_rank: 64.1559 text_to_image_median_rank: 3.0000 text_to_image_R@1: 0.3475 text_to_image_R@5: 0.5779 text_to_image_R@10: 0.6748 clip_val_loss: 2.0519 epoch: 6.0000 num_samples: 8678.0000 | |
| 2025-01-24,08:18:44 | INFO | Start epoch 6 | |
| 2025-01-24,08:18:54 | INFO | Train Epoch: 6 [ 3980/9193800 (0%)] Step: 13.9K | Data (t): 8.547 Batch (t): 9.437, 421.726/s, 210.863/s/gpu Logit Scale: 39.743 | Logit Bias: -11.025 | Lambda Scalar: 0.000 | Total_loss: -0.24504 (-0.24504) Joint_loss: 18.002 (18.002) Cross_loss: 1.8844 (1.8844) Image_lambda_loss: 2.6242e-06 (2.6242e-06) Text_lambda_loss: 1.8565e-07 (1.8565e-07) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:20:52 | INFO | Train Epoch: 6 [ 401980/9193800 (4%)] Step: 14.0K | Data (t): 0.115 Batch (t): 1.176, 3590.29/s, 1795.15/s/gpu Logit Scale: 39.875 | Logit Bias: -11.028 | Lambda Scalar: 0.000 | Total_loss: -0.25741 (-0.25122) Joint_loss: 18.657 (18.330) Cross_loss: 2.0204 (1.9524) Image_lambda_loss: 2.4004e-05 (1.3314e-05) Text_lambda_loss: 6.1334e-07 (3.9950e-07) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:22:51 | INFO | Train Epoch: 6 [ 799980/9193800 (9%)] Step: 14.1K | Data (t): 0.191 Batch (t): 1.194, 3330.51/s, 1665.26/s/gpu Logit Scale: 40.007 | Logit Bias: -11.031 | Lambda Scalar: 0.000 | Total_loss: -0.23604 (-0.24616) Joint_loss: 17.804 (18.155) Cross_loss: 1.9776 (1.9608) Image_lambda_loss: 2.4732e-06 (9.7005e-06) Text_lambda_loss: 1.2117e-05 (4.3053e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:24:51 | INFO | Train Epoch: 6 [1197980/9193800 (13%)] Step: 14.2K | Data (t): 0.202 Batch (t): 1.199, 3482.86/s, 1741.43/s/gpu Logit Scale: 40.140 | Logit Bias: -11.035 | Lambda Scalar: 0.000 | Total_loss: -0.23913 (-0.24440) Joint_loss: 18.027 (18.123) Cross_loss: 2.0465 (1.9822) Image_lambda_loss: 4.1815e-06 (8.3207e-06) Text_lambda_loss: 1.3712e-06 (3.5718e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:26:50 | INFO | Train Epoch: 6 [1595980/9193800 (17%)] Step: 14.3K | Data (t): 0.204 Batch (t): 1.193, 3652.86/s, 1826.43/s/gpu Logit Scale: 40.273 | Logit Bias: -11.038 | Lambda Scalar: 0.000 | Total_loss: -0.23387 (-0.24230) Joint_loss: 17.854 (18.069) Cross_loss: 2.0510 (1.9960) Image_lambda_loss: 1.1458e-06 (6.8858e-06) Text_lambda_loss: 0.00038316 (7.9489e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:28:49 | INFO | Train Epoch: 6 [1993980/9193800 (22%)] Step: 14.4K | Data (t): 0.203 Batch (t): 1.188, 3223.69/s, 1611.84/s/gpu Logit Scale: 40.407 | Logit Bias: -11.041 | Lambda Scalar: 0.000 | Total_loss: -0.23886 (-0.24172) Joint_loss: 17.876 (18.037) Cross_loss: 1.8420 (1.9703) Image_lambda_loss: 5.6884e-07 (5.8329e-06) Text_lambda_loss: 4.4698e-06 (6.6986e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:30:47 | INFO | Train Epoch: 6 [2391980/9193800 (26%)] Step: 14.5K | Data (t): 0.196 Batch (t): 1.179, 3437.94/s, 1718.97/s/gpu Logit Scale: 40.540 | Logit Bias: -11.045 | Lambda Scalar: 0.000 | Total_loss: -0.24096 (-0.24161) Joint_loss: 18.150 (18.053) Cross_loss: 2.0001 (1.9746) Image_lambda_loss: 5.1708e-05 (1.2387e-05) Text_lambda_loss: 7.3725e-06 (5.8470e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:32:46 | INFO | Train Epoch: 6 [2789980/9193800 (30%)] Step: 14.6K | Data (t): 0.198 Batch (t): 1.194, 3597.03/s, 1798.51/s/gpu Logit Scale: 40.675 | Logit Bias: -11.048 | Lambda Scalar: 0.000 | Total_loss: -0.23721 (-0.24106) Joint_loss: 17.893 (18.033) Cross_loss: 1.8623 (1.9605) Image_lambda_loss: 8.9323e-07 (1.0950e-05) Text_lambda_loss: 9.4174e-07 (5.1279e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:34:45 | INFO | Train Epoch: 6 [3187980/9193800 (35%)] Step: 14.7K | Data (t): 0.191 Batch (t): 1.183, 3510.16/s, 1755.08/s/gpu Logit Scale: 40.810 | Logit Bias: -11.051 | Lambda Scalar: 0.000 | Total_loss: -0.22766 (-0.23957) Joint_loss: 17.713 (17.997) Cross_loss: 2.0346 (1.9688) Image_lambda_loss: 7.7860e-07 (9.8197e-06) Text_lambda_loss: 1.6468e-05 (4.7411e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:36:40 | INFO | Train Epoch: 6 [3585980/9193800 (39%)] Step: 14.8K | Data (t): 0.191 Batch (t): 1.151, 3422.01/s, 1711.01/s/gpu Logit Scale: 40.945 | Logit Bias: -11.055 | Lambda Scalar: 0.000 | Total_loss: -0.24162 (-0.23978) Joint_loss: 18.318 (18.029) Cross_loss: 2.0445 (1.9763) Image_lambda_loss: 8.4717e-07 (8.9225e-06) Text_lambda_loss: 3.2815e-05 (4.5951e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:38:32 | INFO | Train Epoch: 6 [3983980/9193800 (43%)] Step: 14.9K | Data (t): 0.185 Batch (t): 1.126, 3682.55/s, 1841.27/s/gpu Logit Scale: 41.080 | Logit Bias: -11.058 | Lambda Scalar: 0.000 | Total_loss: -0.23947 (-0.23975) Joint_loss: 18.243 (18.049) Cross_loss: 2.0237 (1.9806) Image_lambda_loss: 6.5754e-07 (8.1711e-06) Text_lambda_loss: 8.2881e-07 (4.1849e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:40:26 | INFO | Train Epoch: 6 [4381980/9193800 (48%)] Step: 15.0K | Data (t): 0.187 Batch (t): 1.135, 3823.62/s, 1911.81/s/gpu Logit Scale: 41.217 | Logit Bias: -11.061 | Lambda Scalar: 0.000 | Total_loss: -0.23619 (-0.23945) Joint_loss: 18.090 (18.052) Cross_loss: 1.9720 (1.9799) Image_lambda_loss: 3.4571e-06 (7.7783e-06) Text_lambda_loss: 9.2301e-07 (3.8439e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:42:18 | INFO | Train Epoch: 6 [4779980/9193800 (52%)] Step: 15.1K | Data (t): 0.187 Batch (t): 1.119, 2824.53/s, 1412.27/s/gpu Logit Scale: 41.353 | Logit Bias: -11.065 | Lambda Scalar: 0.000 | Total_loss: -0.23858 (-0.23939) Joint_loss: 18.252 (18.068) Cross_loss: 2.0040 (1.9818) Image_lambda_loss: 8.9970e-07 (7.2492e-06) Text_lambda_loss: 4.1891e-06 (3.5804e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:44:12 | INFO | Train Epoch: 6 [5177980/9193800 (56%)] Step: 15.2K | Data (t): 0.190 Batch (t): 1.140, 3571.12/s, 1785.56/s/gpu Logit Scale: 41.490 | Logit Bias: -11.068 | Lambda Scalar: 0.000 | Total_loss: -0.24313 (-0.23965) Joint_loss: 18.428 (18.093) Cross_loss: 1.9610 (1.9803) Image_lambda_loss: 3.0231e-05 (8.8907e-06) Text_lambda_loss: 1.2760e-06 (3.3338e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:46:06 | INFO | Train Epoch: 6 [5575980/9193800 (61%)] Step: 15.3K | Data (t): 0.187 Batch (t): 1.138, 3758.80/s, 1879.40/s/gpu Logit Scale: 41.628 | Logit Bias: -11.071 | Lambda Scalar: 0.000 | Total_loss: -0.23195 (-0.23914) Joint_loss: 18.053 (18.091) Cross_loss: 2.0123 (1.9824) Image_lambda_loss: 8.3520e-07 (8.3537e-06) Text_lambda_loss: 9.9153e-07 (3.1181e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:47:59 | INFO | Train Epoch: 6 [5973980/9193800 (65%)] Step: 15.4K | Data (t): 0.186 Batch (t): 1.138, 3762.80/s, 1881.40/s/gpu Logit Scale: 41.765 | Logit Bias: -11.075 | Lambda Scalar: 0.000 | Total_loss: -0.23088 (-0.23862) Joint_loss: 18.059 (18.089) Cross_loss: 2.0299 (1.9854) Image_lambda_loss: 7.3673e-07 (7.8776e-06) Text_lambda_loss: 0.00010844 (3.6010e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:49:52 | INFO | Train Epoch: 6 [6371980/9193800 (69%)] Step: 15.5K | Data (t): 0.189 Batch (t): 1.130, 3655.90/s, 1827.95/s/gpu Logit Scale: 41.904 | Logit Bias: -11.078 | Lambda Scalar: 0.000 | Total_loss: -0.23748 (-0.23856) Joint_loss: 18.360 (18.105) Cross_loss: 2.0264 (1.9878) Image_lambda_loss: 2.5415e-06 (7.5638e-06) Text_lambda_loss: 0.00014703 (4.2541e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:51:46 | INFO | Train Epoch: 6 [6769980/9193800 (74%)] Step: 15.6K | Data (t): 0.192 Batch (t): 1.140, 3833.55/s, 1916.77/s/gpu Logit Scale: 42.043 | Logit Bias: -11.081 | Lambda Scalar: 0.000 | Total_loss: -0.23439 (-0.23833) Joint_loss: 18.202 (18.110) Cross_loss: 1.9634 (1.9865) Image_lambda_loss: 9.6082e-07 (7.1969e-06) Text_lambda_loss: 1.3955e-06 (4.0255e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:53:40 | INFO | Train Epoch: 6 [7167980/9193800 (78%)] Step: 15.7K | Data (t): 0.194 Batch (t): 1.133, 3776.48/s, 1888.24/s/gpu Logit Scale: 42.182 | Logit Bias: -11.085 | Lambda Scalar: 0.000 | Total_loss: -0.23494 (-0.23815) Joint_loss: 18.359 (18.123) Cross_loss: 2.0650 (1.9906) Image_lambda_loss: 1.3500e-05 (7.5287e-06) Text_lambda_loss: 1.2006e-06 (3.8199e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:55:33 | INFO | Train Epoch: 6 [7565980/9193800 (82%)] Step: 15.8K | Data (t): 0.194 Batch (t): 1.137, 3754.32/s, 1877.16/s/gpu Logit Scale: 42.322 | Logit Bias: -11.088 | Lambda Scalar: 0.000 | Total_loss: -0.23708 (-0.23809) Joint_loss: 18.435 (18.139) Cross_loss: 2.0184 (1.9920) Image_lambda_loss: 4.0160e-06 (7.3530e-06) Text_lambda_loss: 3.6931e-05 (3.8136e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:57:26 | INFO | Train Epoch: 6 [7963980/9193800 (87%)] Step: 15.9K | Data (t): 0.189 Batch (t): 1.126, 3790.80/s, 1895.40/s/gpu Logit Scale: 42.462 | Logit Bias: -11.091 | Lambda Scalar: 0.000 | Total_loss: -0.22905 (-0.23766) Joint_loss: 18.229 (18.143) Cross_loss: 2.1162 (1.9979) Image_lambda_loss: 6.4994e-06 (7.3124e-06) Text_lambda_loss: 1.3955e-06 (3.6386e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,08:59:21 | INFO | Train Epoch: 6 [8361980/9193800 (91%)] Step: 16.0K | Data (t): 0.125 Batch (t): 1.154, 3755.20/s, 1877.60/s/gpu Logit Scale: 42.603 | Logit Bias: -11.095 | Lambda Scalar: 0.000 | Total_loss: -0.24875 (-0.23817) Joint_loss: 18.994 (18.182) Cross_loss: 2.0190 (1.9989) Image_lambda_loss: 8.3745e-07 (7.0181e-06) Text_lambda_loss: 1.4500e-06 (3.4798e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,09:01:14 | INFO | Train Epoch: 6 [8759980/9193800 (95%)] Step: 16.1K | Data (t): 0.116 Batch (t): 1.127, 3553.58/s, 1776.79/s/gpu Logit Scale: 42.744 | Logit Bias: -11.098 | Lambda Scalar: 0.000 | Total_loss: -0.24661 (-0.23853) Joint_loss: 18.781 (18.208) Cross_loss: 1.8620 (1.9929) Image_lambda_loss: 3.7946e-05 (8.3628e-06) Text_lambda_loss: 5.2515e-06 (3.3514e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,09:03:08 | INFO | Train Epoch: 6 [9157980/9193800 (100%)] Step: 16.2K | Data (t): 0.114 Batch (t): 1.136, 3837.01/s, 1918.50/s/gpu Logit Scale: 42.886 | Logit Bias: -11.102 | Lambda Scalar: 0.000 | Total_loss: -0.24786 (-0.23892) Joint_loss: 18.904 (18.237) Cross_loss: 1.8970 (1.9889) Image_lambda_loss: 1.0738e-06 (8.0590e-06) Text_lambda_loss: 1.1275e-06 (3.2164e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,09:03:18 | INFO | Train Epoch: 6 [9193800/9193800 (100%)] Step: 16.2K | Data (t): 0.160 Batch (t): 1.169, 3538.17/s, 1769.09/s/gpu Logit Scale: 42.899 | Logit Bias: -11.102 | Lambda Scalar: 0.000 | Total_loss: -0.23060 (-0.23859) Joint_loss: 18.856 (18.262) Cross_loss: 2.5772 (2.0124) Image_lambda_loss: 9.1043e-06 (8.1009e-06) Text_lambda_loss: 0.00015007 (3.6880e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.24692662705396407 | | |
| 2025-01-24,09:03:18 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,09:03:18 | INFO | Building zero-shot classifier | |
| 2025-01-24,09:03:25 | INFO | Using classifier | |
| 2025-01-24,09:04:26 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,09:04:34 | INFO | Eval Epoch: 7 [1990 / 205824] Clip Loss: 2.106897 | |
| 2025-01-24,09:05:05 | INFO | Eval Epoch: 7 imagenet-zeroshot-val-top1: 0.1796 imagenet-zeroshot-val-top5: 0.3852 image_to_text_mean_rank: 50.4154 image_to_text_median_rank: 3.0000 image_to_text_R@1: 0.3568 image_to_text_R@5: 0.5979 image_to_text_R@10: 0.6920 text_to_image_mean_rank: 60.1409 text_to_image_median_rank: 3.0000 text_to_image_R@1: 0.3562 text_to_image_R@5: 0.5974 text_to_image_R@10: 0.6862 clip_val_loss: 1.9857 epoch: 7.0000 num_samples: 8678.0000 | |
| 2025-01-24,09:05:07 | INFO | Start epoch 7 | |
| 2025-01-24,09:05:17 | INFO | Train Epoch: 7 [ 3980/9193800 (0%)] Step: 16.2K | Data (t): 8.560 Batch (t): 9.430, 422.079/s, 211.040/s/gpu Logit Scale: 42.899 | Logit Bias: -11.102 | Lambda Scalar: 0.000 | Total_loss: -0.24516 (-0.24516) Joint_loss: 18.786 (18.786) Cross_loss: 1.8903 (1.8903) Image_lambda_loss: 9.3440e-07 (9.3440e-07) Text_lambda_loss: 0.0013516 (0.0013516) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:07:16 | INFO | Train Epoch: 7 [ 401980/9193800 (4%)] Step: 16.3K | Data (t): 0.123 Batch (t): 1.190, 3247.07/s, 1623.53/s/gpu Logit Scale: 43.040 | Logit Bias: -11.105 | Lambda Scalar: 0.000 | Total_loss: -0.24140 (-0.24328) Joint_loss: 18.758 (18.772) Cross_loss: 1.9875 (1.9389) Image_lambda_loss: 1.3297e-06 (1.1321e-06) Text_lambda_loss: 9.7898e-05 (0.00072474) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:09:14 | INFO | Train Epoch: 7 [ 799980/9193800 (9%)] Step: 16.4K | Data (t): 0.212 Batch (t): 1.179, 3242.48/s, 1621.24/s/gpu Logit Scale: 43.183 | Logit Bias: -11.108 | Lambda Scalar: 0.000 | Total_loss: -0.24158 (-0.24271) Joint_loss: 18.715 (18.753) Cross_loss: 1.9021 (1.9266) Image_lambda_loss: 6.7317e-07 (9.7909e-07) Text_lambda_loss: 6.7924e-07 (0.00048339) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:11:13 | INFO | Train Epoch: 7 [1197980/9193800 (13%)] Step: 16.5K | Data (t): 0.213 Batch (t): 1.189, 3588.76/s, 1794.38/s/gpu Logit Scale: 43.326 | Logit Bias: -11.112 | Lambda Scalar: 0.000 | Total_loss: -0.25542 (-0.24589) Joint_loss: 19.555 (18.954) Cross_loss: 2.1147 (1.9736) Image_lambda_loss: 5.9258e-07 (8.8247e-07) Text_lambda_loss: 5.1980e-06 (0.00036384) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:13:09 | INFO | Train Epoch: 7 [1595980/9193800 (17%)] Step: 16.6K | Data (t): 0.208 Batch (t): 1.158, 3519.65/s, 1759.83/s/gpu Logit Scale: 43.470 | Logit Bias: -11.115 | Lambda Scalar: 0.000 | Total_loss: -0.24745 (-0.24620) Joint_loss: 19.121 (18.987) Cross_loss: 1.9867 (1.9763) Image_lambda_loss: 8.5187e-07 (8.7635e-07) Text_lambda_loss: 7.9272e-06 (0.00029266) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:15:06 | INFO | Train Epoch: 7 [1993980/9193800 (22%)] Step: 16.7K | Data (t): 0.203 Batch (t): 1.173, 3129.08/s, 1564.54/s/gpu Logit Scale: 43.614 | Logit Bias: -11.118 | Lambda Scalar: 0.000 | Total_loss: -0.23833 (-0.24489) Joint_loss: 18.703 (18.940) Cross_loss: 1.9267 (1.9680) Image_lambda_loss: 4.9787e-07 (8.1327e-07) Text_lambda_loss: 4.2855e-06 (0.00024460) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:17:04 | INFO | Train Epoch: 7 [2391980/9193800 (26%)] Step: 16.8K | Data (t): 0.206 Batch (t): 1.183, 3399.96/s, 1699.98/s/gpu Logit Scale: 43.758 | Logit Bias: -11.122 | Lambda Scalar: 0.000 | Total_loss: -0.23370 (-0.24329) Joint_loss: 18.485 (18.875) Cross_loss: 1.8739 (1.9546) Image_lambda_loss: 2.1789e-06 (1.0084e-06) Text_lambda_loss: 2.0723e-06 (0.00020995) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:19:01 | INFO | Train Epoch: 7 [2789980/9193800 (30%)] Step: 16.9K | Data (t): 0.210 Batch (t): 1.168, 3424.65/s, 1712.32/s/gpu Logit Scale: 43.903 | Logit Bias: -11.125 | Lambda Scalar: 0.000 | Total_loss: -0.24016 (-0.24290) Joint_loss: 19.048 (18.896) Cross_loss: 2.1233 (1.9757) Image_lambda_loss: 6.9854e-07 (9.6963e-07) Text_lambda_loss: 3.5370e-06 (0.00018415) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:20:55 | INFO | Train Epoch: 7 [3187980/9193800 (35%)] Step: 17.0K | Data (t): 0.202 Batch (t): 1.145, 3749.26/s, 1874.63/s/gpu Logit Scale: 44.048 | Logit Bias: -11.129 | Lambda Scalar: 0.000 | Total_loss: -0.24204 (-0.24280) Joint_loss: 18.965 (18.904) Cross_loss: 1.9229 (1.9698) Image_lambda_loss: 2.6219e-06 (1.1532e-06) Text_lambda_loss: 2.3525e-06 (0.00016395) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:22:48 | INFO | Train Epoch: 7 [3585980/9193800 (39%)] Step: 17.1K | Data (t): 0.205 Batch (t): 1.123, 3402.90/s, 1701.45/s/gpu Logit Scale: 44.194 | Logit Bias: -11.132 | Lambda Scalar: 0.000 | Total_loss: -0.23688 (-0.24221) Joint_loss: 18.916 (18.905) Cross_loss: 2.0642 (1.9792) Image_lambda_loss: 7.2044e-07 (1.1099e-06) Text_lambda_loss: 4.9900e-06 (0.00014805) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:24:39 | INFO | Train Epoch: 7 [3983980/9193800 (43%)] Step: 17.2K | Data (t): 0.205 Batch (t): 1.115, 3722.73/s, 1861.37/s/gpu Logit Scale: 44.341 | Logit Bias: -11.135 | Lambda Scalar: 0.000 | Total_loss: -0.23222 (-0.24130) Joint_loss: 18.578 (18.876) Cross_loss: 1.8963 (1.9717) Image_lambda_loss: 1.0173e-05 (1.9338e-06) Text_lambda_loss: 1.3363e-06 (0.00013472) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:26:33 | INFO | Train Epoch: 7 [4381980/9193800 (48%)] Step: 17.3K | Data (t): 0.196 Batch (t): 1.135, 3224.51/s, 1612.26/s/gpu Logit Scale: 44.487 | Logit Bias: -11.139 | Lambda Scalar: 0.000 | Total_loss: -0.24441 (-0.24156) Joint_loss: 19.260 (18.908) Cross_loss: 2.0072 (1.9747) Image_lambda_loss: 5.1750e-07 (1.8158e-06) Text_lambda_loss: 1.2512e-06 (0.00012359) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:28:25 | INFO | Train Epoch: 7 [4779980/9193800 (52%)] Step: 17.4K | Data (t): 0.199 Batch (t): 1.127, 3588.29/s, 1794.15/s/gpu Logit Scale: 44.635 | Logit Bias: -11.142 | Lambda Scalar: 0.000 | Total_loss: -0.23936 (-0.24139) Joint_loss: 19.172 (18.928) Cross_loss: 2.1063 (1.9848) Image_lambda_loss: 6.6917e-07 (1.7276e-06) Text_lambda_loss: 1.5729e-05 (0.00011530) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:30:19 | INFO | Train Epoch: 7 [5177980/9193800 (56%)] Step: 17.5K | Data (t): 0.205 Batch (t): 1.135, 3614.38/s, 1807.19/s/gpu Logit Scale: 44.782 | Logit Bias: -11.145 | Lambda Scalar: 0.000 | Total_loss: -0.23665 (-0.24105) Joint_loss: 19.061 (18.937) Cross_loss: 2.0810 (1.9917) Image_lambda_loss: 1.1229e-06 (1.6844e-06) Text_lambda_loss: 1.3188e-06 (0.00010715) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:32:13 | INFO | Train Epoch: 7 [5575980/9193800 (61%)] Step: 17.6K | Data (t): 0.201 Batch (t): 1.137, 3739.34/s, 1869.67/s/gpu Logit Scale: 44.930 | Logit Bias: -11.149 | Lambda Scalar: 0.000 | Total_loss: -0.24596 (-0.24138) Joint_loss: 19.478 (18.973) Cross_loss: 2.0480 (1.9954) Image_lambda_loss: 3.1263e-06 (1.7806e-06) Text_lambda_loss: 9.1534e-07 (0.00010007) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:34:07 | INFO | Train Epoch: 7 [5973980/9193800 (65%)] Step: 17.7K | Data (t): 0.202 Batch (t): 1.144, 3463.25/s, 1731.63/s/gpu Logit Scale: 45.079 | Logit Bias: -11.152 | Lambda Scalar: 0.000 | Total_loss: -0.24364 (-0.24152) Joint_loss: 19.319 (18.995) Cross_loss: 1.9570 (1.9930) Image_lambda_loss: 7.7954e-07 (1.7180e-06) Text_lambda_loss: 9.2091e-07 (9.3875e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:36:00 | INFO | Train Epoch: 7 [6371980/9193800 (69%)] Step: 17.8K | Data (t): 0.205 Batch (t): 1.135, 3661.36/s, 1830.68/s/gpu Logit Scale: 45.229 | Logit Bias: -11.155 | Lambda Scalar: 0.000 | Total_loss: -0.23194 (-0.24096) Joint_loss: 18.818 (18.985) Cross_loss: 1.9425 (1.9900) Image_lambda_loss: 1.2011e-06 (1.6876e-06) Text_lambda_loss: 6.8809e-06 (8.8758e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:37:53 | INFO | Train Epoch: 7 [6769980/9193800 (74%)] Step: 17.9K | Data (t): 0.201 Batch (t): 1.130, 3787.84/s, 1893.92/s/gpu Logit Scale: 45.378 | Logit Bias: -11.159 | Lambda Scalar: 0.000 | Total_loss: -0.23878 (-0.24084) Joint_loss: 19.263 (19.000) Cross_loss: 2.0462 (1.9932) Image_lambda_loss: 1.6310e-06 (1.6844e-06) Text_lambda_loss: 1.0108e-06 (8.3883e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:39:49 | INFO | Train Epoch: 7 [7167980/9193800 (78%)] Step: 18.0K | Data (t): 0.199 Batch (t): 1.152, 3703.52/s, 1851.76/s/gpu Logit Scale: 45.529 | Logit Bias: -11.162 | Lambda Scalar: 0.000 | Total_loss: -0.23141 (-0.24034) Joint_loss: 18.983 (18.999) Cross_loss: 2.0620 (1.9968) Image_lambda_loss: 6.2285e-06 (1.9236e-06) Text_lambda_loss: 1.1120e-05 (8.0053e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:41:44 | INFO | Train Epoch: 7 [7565980/9193800 (82%)] Step: 18.1K | Data (t): 0.199 Batch (t): 1.149, 3588.26/s, 1794.13/s/gpu Logit Scale: 45.680 | Logit Bias: -11.165 | Lambda Scalar: 0.000 | Total_loss: -0.23636 (-0.24014) Joint_loss: 19.180 (19.008) Cross_loss: 1.9999 (1.9969) Image_lambda_loss: 2.9118e-06 (1.9730e-06) Text_lambda_loss: 1.0428e-05 (7.6572e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:43:38 | INFO | Train Epoch: 7 [7963980/9193800 (87%)] Step: 18.2K | Data (t): 0.202 Batch (t): 1.146, 3236.67/s, 1618.33/s/gpu Logit Scale: 45.831 | Logit Bias: -11.169 | Lambda Scalar: 0.000 | Total_loss: -0.22899 (-0.23961) Joint_loss: 18.896 (19.003) Cross_loss: 2.0137 (1.9977) Image_lambda_loss: 7.3192e-07 (1.9139e-06) Text_lambda_loss: 9.1965e-07 (7.2970e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:45:33 | INFO | Train Epoch: 7 [8361980/9193800 (91%)] Step: 18.3K | Data (t): 0.085 Batch (t): 1.147, 4327.24/s, 2163.62/s/gpu Logit Scale: 45.982 | Logit Bias: -11.172 | Lambda Scalar: 0.000 | Total_loss: -0.24451 (-0.23983) Joint_loss: 19.628 (19.031) Cross_loss: 2.0063 (1.9981) Image_lambda_loss: 1.5899e-05 (2.5496e-06) Text_lambda_loss: 2.9745e-06 (6.9788e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:47:26 | INFO | Train Epoch: 7 [8759980/9193800 (95%)] Step: 18.4K | Data (t): 0.119 Batch (t): 1.136, 3524.26/s, 1762.13/s/gpu Logit Scale: 46.134 | Logit Bias: -11.175 | Lambda Scalar: 0.000 | Total_loss: -0.24148 (-0.23991) Joint_loss: 19.539 (19.053) Cross_loss: 2.0177 (1.9990) Image_lambda_loss: 1.0907e-06 (2.4862e-06) Text_lambda_loss: 2.7497e-06 (6.6873e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:49:19 | INFO | Train Epoch: 7 [9157980/9193800 (100%)] Step: 18.5K | Data (t): 0.112 Batch (t): 1.125, 2317.80/s, 1158.90/s/gpu Logit Scale: 46.287 | Logit Bias: -11.179 | Lambda Scalar: 0.000 | Total_loss: -0.25362 (-0.24048) Joint_loss: 20.202 (19.101) Cross_loss: 2.0882 (2.0027) Image_lambda_loss: 1.4906e-05 (3.0037e-06) Text_lambda_loss: 6.6460e-06 (6.4364e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:49:30 | INFO | Train Epoch: 7 [9193800/9193800 (100%)] Step: 18.5K | Data (t): 0.163 Batch (t): 1.179, 3254.16/s, 1627.08/s/gpu Logit Scale: 46.301 | Logit Bias: -11.179 | Lambda Scalar: 0.000 | Total_loss: -0.25403 (-0.24102) Joint_loss: 20.184 (19.145) Cross_loss: 2.0474 (2.0045) Image_lambda_loss: 2.3804e-06 (2.9787e-06) Text_lambda_loss: 5.1392e-06 (6.1995e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.32196387119354863 | | |
| 2025-01-24,09:49:30 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,09:49:30 | INFO | Building zero-shot classifier | |
| 2025-01-24,09:49:37 | INFO | Using classifier | |
| 2025-01-24,09:50:38 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,09:50:46 | INFO | Eval Epoch: 8 [1990 / 205824] Clip Loss: 1.998338 | |
| 2025-01-24,09:51:17 | INFO | Eval Epoch: 8 imagenet-zeroshot-val-top1: 0.1925 imagenet-zeroshot-val-top5: 0.4112 image_to_text_mean_rank: 48.5686 image_to_text_median_rank: 3.0000 image_to_text_R@1: 0.3864 image_to_text_R@5: 0.6258 image_to_text_R@10: 0.7105 text_to_image_mean_rank: 59.1543 text_to_image_median_rank: 3.0000 text_to_image_R@1: 0.3829 text_to_image_R@5: 0.6260 text_to_image_R@10: 0.7112 clip_val_loss: 1.8721 epoch: 8.0000 num_samples: 8678.0000 | |
| 2025-01-24,09:51:18 | INFO | Start epoch 8 | |
| 2025-01-24,09:51:28 | INFO | Train Epoch: 8 [ 3980/9193800 (0%)] Step: 18.5K | Data (t): 8.484 Batch (t): 9.360, 425.198/s, 212.599/s/gpu Logit Scale: 46.302 | Logit Bias: -11.179 | Lambda Scalar: 0.000 | Total_loss: -0.27613 (-0.27613) Joint_loss: 21.180 (21.180) Cross_loss: 2.0317 (2.0317) Image_lambda_loss: 7.1958e-06 (7.1958e-06) Text_lambda_loss: 1.6332e-05 (1.6332e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,09:53:29 | INFO | Train Epoch: 8 [ 401980/9193800 (4%)] Step: 18.6K | Data (t): 0.150 Batch (t): 1.216, 3134.49/s, 1567.25/s/gpu Logit Scale: 46.455 | Logit Bias: -11.182 | Lambda Scalar: 0.000 | Total_loss: -0.26523 (-0.27068) Joint_loss: 20.852 (21.016) Cross_loss: 2.1622 (2.0969) Image_lambda_loss: 3.1887e-07 (3.7573e-06) Text_lambda_loss: 6.2644e-06 (1.1298e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,09:55:30 | INFO | Train Epoch: 8 [ 799980/9193800 (9%)] Step: 18.7K | Data (t): 0.209 Batch (t): 1.210, 2894.50/s, 1447.25/s/gpu Logit Scale: 46.609 | Logit Bias: -11.186 | Lambda Scalar: 0.000 | Total_loss: -0.27288 (-0.27141) Joint_loss: 21.174 (21.069) Cross_loss: 2.0907 (2.0948) Image_lambda_loss: 4.6335e-07 (2.6593e-06) Text_lambda_loss: 4.3819e-06 (8.9926e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,09:57:34 | INFO | Train Epoch: 8 [1197980/9193800 (13%)] Step: 18.8K | Data (t): 0.203 Batch (t): 1.240, 2863.31/s, 1431.66/s/gpu Logit Scale: 46.763 | Logit Bias: -11.189 | Lambda Scalar: 0.000 | Total_loss: -0.25488 (-0.26728) Joint_loss: 20.319 (20.882) Cross_loss: 2.0264 (2.0777) Image_lambda_loss: 5.4220e-07 (2.1301e-06) Text_lambda_loss: 7.6389e-06 (8.6542e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,09:59:36 | INFO | Train Epoch: 8 [1595980/9193800 (17%)] Step: 18.9K | Data (t): 0.202 Batch (t): 1.212, 3403.82/s, 1701.91/s/gpu Logit Scale: 46.918 | Logit Bias: -11.192 | Lambda Scalar: 0.000 | Total_loss: -0.24585 (-0.26299) Joint_loss: 19.795 (20.664) Cross_loss: 1.8822 (2.0386) Image_lambda_loss: 1.8624e-06 (2.0765e-06) Text_lambda_loss: 7.5370e-07 (7.0741e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:01:40 | INFO | Train Epoch: 8 [1993980/9193800 (22%)] Step: 19.0K | Data (t): 0.214 Batch (t): 1.239, 3291.01/s, 1645.51/s/gpu Logit Scale: 47.073 | Logit Bias: -11.196 | Lambda Scalar: 0.000 | Total_loss: -0.23362 (-0.25810) Joint_loss: 19.240 (20.427) Cross_loss: 1.8577 (2.0085) Image_lambda_loss: 2.4293e-06 (2.1353e-06) Text_lambda_loss: 1.6418e-06 (6.1687e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:03:43 | INFO | Train Epoch: 8 [2391980/9193800 (26%)] Step: 19.1K | Data (t): 0.214 Batch (t): 1.236, 3044.65/s, 1522.33/s/gpu Logit Scale: 47.229 | Logit Bias: -11.199 | Lambda Scalar: 0.000 | Total_loss: -0.23932 (-0.25542) Joint_loss: 19.508 (20.296) Cross_loss: 1.8232 (1.9820) Image_lambda_loss: 1.3134e-06 (2.0179e-06) Text_lambda_loss: 5.9622e-07 (5.3727e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:05:45 | INFO | Train Epoch: 8 [2789980/9193800 (30%)] Step: 19.2K | Data (t): 0.210 Batch (t): 1.221, 3604.72/s, 1802.36/s/gpu Logit Scale: 47.385 | Logit Bias: -11.202 | Lambda Scalar: 0.000 | Total_loss: -0.24279 (-0.25384) Joint_loss: 19.921 (20.249) Cross_loss: 2.0362 (1.9888) Image_lambda_loss: 2.1729e-06 (2.0373e-06) Text_lambda_loss: 4.0539e-05 (9.7684e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:07:48 | INFO | Train Epoch: 8 [3187980/9193800 (35%)] Step: 19.3K | Data (t): 0.214 Batch (t): 1.227, 3251.18/s, 1625.59/s/gpu Logit Scale: 47.542 | Logit Bias: -11.206 | Lambda Scalar: 0.000 | Total_loss: -0.23851 (-0.25213) Joint_loss: 19.729 (20.191) Cross_loss: 2.0074 (1.9908) Image_lambda_loss: 5.3819e-05 (7.7908e-06) Text_lambda_loss: 2.4761e-05 (1.1434e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:09:44 | INFO | Train Epoch: 8 [3585980/9193800 (39%)] Step: 19.4K | Data (t): 0.206 Batch (t): 1.165, 3728.85/s, 1864.42/s/gpu Logit Scale: 47.699 | Logit Bias: -11.209 | Lambda Scalar: 0.000 | Total_loss: -0.23606 (-0.25053) Joint_loss: 19.743 (20.146) Cross_loss: 2.0998 (2.0017) Image_lambda_loss: 5.9200e-07 (7.0709e-06) Text_lambda_loss: 9.7441e-07 (1.0388e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:11:44 | INFO | Train Epoch: 8 [3983980/9193800 (43%)] Step: 19.5K | Data (t): 0.220 Batch (t): 1.191, 3376.64/s, 1688.32/s/gpu Logit Scale: 47.857 | Logit Bias: -11.212 | Lambda Scalar: 0.000 | Total_loss: -0.23283 (-0.24892) Joint_loss: 19.459 (20.084) Cross_loss: 1.9315 (1.9953) Image_lambda_loss: 1.0854e-05 (7.4148e-06) Text_lambda_loss: 9.8091e-07 (9.5331e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:13:48 | INFO | Train Epoch: 8 [4381980/9193800 (48%)] Step: 19.6K | Data (t): 0.240 Batch (t): 1.239, 3252.44/s, 1626.22/s/gpu Logit Scale: 48.015 | Logit Bias: -11.216 | Lambda Scalar: 0.000 | Total_loss: -0.23167 (-0.24748) Joint_loss: 19.415 (20.028) Cross_loss: 1.9055 (1.9879) Image_lambda_loss: 2.1954e-06 (6.9799e-06) Text_lambda_loss: 1.6674e-06 (8.8776e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:15:48 | INFO | Train Epoch: 8 [4779980/9193800 (52%)] Step: 19.7K | Data (t): 0.222 Batch (t): 1.203, 3036.75/s, 1518.37/s/gpu Logit Scale: 48.174 | Logit Bias: -11.219 | Lambda Scalar: 0.000 | Total_loss: -0.23593 (-0.24659) Joint_loss: 19.838 (20.013) Cross_loss: 2.0889 (1.9956) Image_lambda_loss: 1.0981e-06 (6.5274e-06) Text_lambda_loss: 5.0092e-06 (8.5800e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:17:48 | INFO | Train Epoch: 8 [5177980/9193800 (56%)] Step: 19.8K | Data (t): 0.222 Batch (t): 1.200, 3206.05/s, 1603.02/s/gpu Logit Scale: 48.333 | Logit Bias: -11.222 | Lambda Scalar: 0.000 | Total_loss: -0.23927 (-0.24607) Joint_loss: 19.934 (20.008) Cross_loss: 1.9873 (1.9950) Image_lambda_loss: 1.6839e-06 (6.1815e-06) Text_lambda_loss: 7.0265e-07 (8.0173e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:19:48 | INFO | Train Epoch: 8 [5575980/9193800 (61%)] Step: 19.9K | Data (t): 0.217 Batch (t): 1.196, 3117.94/s, 1558.97/s/gpu Logit Scale: 48.493 | Logit Bias: -11.226 | Lambda Scalar: 0.000 | Total_loss: -0.23262 (-0.24517) Joint_loss: 19.639 (19.983) Cross_loss: 1.9736 (1.9936) Image_lambda_loss: 9.3155e-07 (5.8315e-06) Text_lambda_loss: 1.0875e-05 (8.2078e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:21:48 | INFO | Train Epoch: 8 [5973980/9193800 (65%)] Step: 20.0K | Data (t): 0.226 Batch (t): 1.205, 3130.63/s, 1565.31/s/gpu Logit Scale: 48.654 | Logit Bias: -11.229 | Lambda Scalar: 0.000 | Total_loss: -0.23015 (-0.24423) Joint_loss: 19.663 (19.963) Cross_loss: 2.0787 (1.9989) Image_lambda_loss: 2.3849e-06 (5.6161e-06) Text_lambda_loss: 3.6948e-06 (7.9258e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:23:51 | INFO | Train Epoch: 8 [6371980/9193800 (69%)] Step: 20.1K | Data (t): 0.237 Batch (t): 1.225, 3485.16/s, 1742.58/s/gpu Logit Scale: 48.815 | Logit Bias: -11.232 | Lambda Scalar: 0.000 | Total_loss: -0.23570 (-0.24373) Joint_loss: 19.945 (19.962) Cross_loss: 2.0557 (2.0023) Image_lambda_loss: 7.4326e-07 (5.3294e-06) Text_lambda_loss: 6.3445e-06 (7.8328e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:25:51 | INFO | Train Epoch: 8 [6769980/9193800 (74%)] Step: 20.2K | Data (t): 0.223 Batch (t): 1.202, 3354.55/s, 1677.27/s/gpu Logit Scale: 48.977 | Logit Bias: -11.236 | Lambda Scalar: 0.000 | Total_loss: -0.23426 (-0.24321) Joint_loss: 19.823 (19.954) Cross_loss: 1.9651 (2.0002) Image_lambda_loss: 2.8612e-05 (6.6229e-06) Text_lambda_loss: 6.8864e-06 (7.7802e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:27:47 | INFO | Train Epoch: 8 [7167980/9193800 (78%)] Step: 20.3K | Data (t): 0.215 Batch (t): 1.165, 3269.01/s, 1634.50/s/gpu Logit Scale: 49.139 | Logit Bias: -11.239 | Lambda Scalar: 0.000 | Total_loss: -0.23593 (-0.24282) Joint_loss: 20.052 (19.959) Cross_loss: 2.0757 (2.0042) Image_lambda_loss: 8.8744e-07 (6.3210e-06) Text_lambda_loss: 8.8969e-07 (7.4175e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:29:45 | INFO | Train Epoch: 8 [7565980/9193800 (82%)] Step: 20.4K | Data (t): 0.219 Batch (t): 1.183, 3343.86/s, 1671.93/s/gpu Logit Scale: 49.302 | Logit Bias: -11.242 | Lambda Scalar: 0.000 | Total_loss: -0.22955 (-0.24216) Joint_loss: 19.730 (19.948) Cross_loss: 2.0269 (2.0053) Image_lambda_loss: 2.4648e-06 (6.1282e-06) Text_lambda_loss: 1.7139e-05 (7.9036e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:31:44 | INFO | Train Epoch: 8 [7963980/9193800 (87%)] Step: 20.5K | Data (t): 0.210 Batch (t): 1.181, 3078.26/s, 1539.13/s/gpu Logit Scale: 49.465 | Logit Bias: -11.246 | Lambda Scalar: 0.000 | Total_loss: -0.22548 (-0.24137) Joint_loss: 19.418 (19.923) Cross_loss: 1.8759 (1.9991) Image_lambda_loss: 2.0103e-06 (5.9321e-06) Text_lambda_loss: 9.6110e-07 (7.5730e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:33:40 | INFO | Train Epoch: 8 [8361980/9193800 (91%)] Step: 20.6K | Data (t): 0.100 Batch (t): 1.163, 3169.43/s, 1584.72/s/gpu Logit Scale: 49.629 | Logit Bias: -11.249 | Lambda Scalar: 0.000 | Total_loss: -0.24019 (-0.24131) Joint_loss: 20.285 (19.939) Cross_loss: 1.9828 (1.9984) Image_lambda_loss: 6.3952e-05 (8.5694e-06) Text_lambda_loss: 9.1794e-07 (7.2705e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:35:34 | INFO | Train Epoch: 8 [8759980/9193800 (95%)] Step: 20.7K | Data (t): 0.176 Batch (t): 1.140, 3161.23/s, 1580.61/s/gpu Logit Scale: 49.794 | Logit Bias: -11.252 | Lambda Scalar: 0.000 | Total_loss: -0.23079 (-0.24085) Joint_loss: 19.768 (19.932) Cross_loss: 1.8904 (1.9937) Image_lambda_loss: 2.5320e-06 (8.3069e-06) Text_lambda_loss: 1.9635e-05 (7.8081e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:37:27 | INFO | Train Epoch: 8 [9157980/9193800 (100%)] Step: 20.8K | Data (t): 0.163 Batch (t): 1.134, 3409.31/s, 1704.65/s/gpu Logit Scale: 49.959 | Logit Bias: -11.256 | Lambda Scalar: 0.000 | Total_loss: -0.23702 (-0.24069) Joint_loss: 20.224 (19.944) Cross_loss: 2.0003 (1.9940) Image_lambda_loss: 1.1656e-05 (8.4464e-06) Text_lambda_loss: 1.5762e-05 (8.1395e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:37:38 | INFO | Train Epoch: 8 [9193800/9193800 (100%)] Step: 20.8K | Data (t): 0.186 Batch (t): 1.150, 2729.73/s, 1364.87/s/gpu Logit Scale: 49.974 | Logit Bias: -11.256 | Lambda Scalar: 0.000 | Total_loss: -0.24504 (-0.24087) Joint_loss: 20.681 (19.973) Cross_loss: 2.0570 (1.9965) Image_lambda_loss: 3.6954e-05 (9.5867e-06) Text_lambda_loss: 2.2716e-05 (8.7225e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4 | | |
| 2025-01-24,10:37:38 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,10:37:38 | INFO | Building zero-shot classifier | |
| 2025-01-24,10:37:45 | INFO | Using classifier | |
| 2025-01-24,10:38:46 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,10:38:53 | INFO | Eval Epoch: 9 [1990 / 205824] Clip Loss: 1.929715 | |
| 2025-01-24,10:39:24 | INFO | Eval Epoch: 9 imagenet-zeroshot-val-top1: 0.2006 imagenet-zeroshot-val-top5: 0.4211 image_to_text_mean_rank: 46.8395 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.3927 image_to_text_R@5: 0.6374 image_to_text_R@10: 0.7196 text_to_image_mean_rank: 54.2055 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.3897 text_to_image_R@5: 0.6357 text_to_image_R@10: 0.7178 clip_val_loss: 1.8317 epoch: 9.0000 num_samples: 8678.0000 | |
| 2025-01-24,10:39:26 | INFO | Start epoch 9 | |
| 2025-01-24,10:39:35 | INFO | Train Epoch: 9 [ 3980/9193800 (0%)] Step: 20.8K | Data (t): 8.421 Batch (t): 9.319, 427.087/s, 213.544/s/gpu Logit Scale: 49.975 | Logit Bias: -11.256 | Lambda Scalar: 0.000 | Total_loss: -0.26026 (-0.26026) Joint_loss: 21.311 (21.311) Cross_loss: 1.9330 (1.9330) Image_lambda_loss: 0.00010826 (0.00010826) Text_lambda_loss: 7.1471e-05 (7.1471e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,10:41:35 | INFO | Train Epoch: 9 [ 401980/9193800 (4%)] Step: 20.9K | Data (t): 0.157 Batch (t): 1.202, 3679.50/s, 1839.75/s/gpu Logit Scale: 50.139 | Logit Bias: -11.259 | Lambda Scalar: 0.000 | Total_loss: -0.24807 (-0.25417) Joint_loss: 20.979 (21.145) Cross_loss: 2.1633 (2.0481) Image_lambda_loss: 3.2618e-07 (5.4294e-05) Text_lambda_loss: 5.7299e-07 (3.6022e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,10:43:34 | INFO | Train Epoch: 9 [ 799980/9193800 (9%)] Step: 21.0K | Data (t): 0.212 Batch (t): 1.187, 2746.04/s, 1373.02/s/gpu Logit Scale: 50.305 | Logit Bias: -11.263 | Lambda Scalar: 0.000 | Total_loss: -0.24722 (-0.25185) Joint_loss: 20.751 (21.013) Cross_loss: 1.9367 (2.0110) Image_lambda_loss: 6.7927e-06 (3.8461e-05) Text_lambda_loss: 3.8557e-05 (3.6867e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,10:45:33 | INFO | Train Epoch: 9 [1197980/9193800 (13%)] Step: 21.1K | Data (t): 0.217 Batch (t): 1.194, 3716.14/s, 1858.07/s/gpu Logit Scale: 50.470 | Logit Bias: -11.266 | Lambda Scalar: 0.000 | Total_loss: -0.23220 (-0.24694) Joint_loss: 19.999 (20.760) Cross_loss: 1.8944 (1.9818) Image_lambda_loss: 1.2781e-06 (2.9165e-05) Text_lambda_loss: 9.1553e-07 (2.7879e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,10:47:33 | INFO | Train Epoch: 9 [1595980/9193800 (17%)] Step: 21.2K | Data (t): 0.222 Batch (t): 1.197, 3603.82/s, 1801.91/s/gpu Logit Scale: 50.637 | Logit Bias: -11.269 | Lambda Scalar: 0.000 | Total_loss: -0.24251 (-0.24605) Joint_loss: 20.745 (20.757) Cross_loss: 2.0850 (2.0025) Image_lambda_loss: 6.1546e-07 (2.3455e-05) Text_lambda_loss: 4.4410e-06 (2.3192e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,10:49:33 | INFO | Train Epoch: 9 [1993980/9193800 (22%)] Step: 21.3K | Data (t): 0.223 Batch (t): 1.195, 3467.16/s, 1733.58/s/gpu Logit Scale: 50.804 | Logit Bias: -11.273 | Lambda Scalar: 0.000 | Total_loss: -0.23261 (-0.24381) Joint_loss: 20.227 (20.668) Cross_loss: 2.0249 (2.0062) Image_lambda_loss: 5.8130e-07 (1.9643e-05) Text_lambda_loss: 4.3377e-06 (2.0049e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,10:51:31 | INFO | Train Epoch: 9 [2391980/9193800 (26%)] Step: 21.4K | Data (t): 0.214 Batch (t): 1.186, 3371.77/s, 1685.88/s/gpu Logit Scale: 50.972 | Logit Bias: -11.276 | Lambda Scalar: 0.000 | Total_loss: -0.23141 (-0.24204) Joint_loss: 20.269 (20.611) Cross_loss: 2.0879 (2.0179) Image_lambda_loss: 5.8096e-06 (1.7667e-05) Text_lambda_loss: 5.8401e-07 (1.7269e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,10:53:25 | INFO | Train Epoch: 9 [2789980/9193800 (30%)] Step: 21.5K | Data (t): 0.201 Batch (t): 1.139, 3621.39/s, 1810.69/s/gpu Logit Scale: 51.141 | Logit Bias: -11.279 | Lambda Scalar: 0.000 | Total_loss: -0.23464 (-0.24112) Joint_loss: 20.530 (20.601) Cross_loss: 2.1461 (2.0339) Image_lambda_loss: 3.5856e-06 (1.5906e-05) Text_lambda_loss: 1.4499e-05 (1.6922e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,10:55:19 | INFO | Train Epoch: 9 [3187980/9193800 (35%)] Step: 21.6K | Data (t): 0.196 Batch (t): 1.138, 3341.96/s, 1670.98/s/gpu Logit Scale: 51.310 | Logit Bias: -11.283 | Lambda Scalar: 0.000 | Total_loss: -0.23120 (-0.24001) Joint_loss: 20.308 (20.569) Cross_loss: 2.0600 (2.0368) Image_lambda_loss: 4.7215e-06 (1.4664e-05) Text_lambda_loss: 5.4266e-06 (1.5645e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,10:57:14 | INFO | Train Epoch: 9 [3585980/9193800 (39%)] Step: 21.7K | Data (t): 0.201 Batch (t): 1.146, 3613.08/s, 1806.54/s/gpu Logit Scale: 51.479 | Logit Bias: -11.286 | Lambda Scalar: 0.000 | Total_loss: -0.23103 (-0.23912) Joint_loss: 20.265 (20.538) Cross_loss: 1.9855 (2.0317) Image_lambda_loss: 7.6228e-07 (1.3274e-05) Text_lambda_loss: 1.3089e-06 (1.4211e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,10:59:09 | INFO | Train Epoch: 9 [3983980/9193800 (43%)] Step: 21.8K | Data (t): 0.201 Batch (t): 1.156, 3512.10/s, 1756.05/s/gpu Logit Scale: 51.650 | Logit Bias: -11.289 | Lambda Scalar: 0.000 | Total_loss: -0.23025 (-0.23831) Joint_loss: 20.424 (20.528) Cross_loss: 2.1454 (2.0420) Image_lambda_loss: 1.9335e-06 (1.2243e-05) Text_lambda_loss: 6.9188e-06 (1.3548e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:01:08 | INFO | Train Epoch: 9 [4381980/9193800 (48%)] Step: 21.9K | Data (t): 0.218 Batch (t): 1.191, 3141.77/s, 1570.89/s/gpu Logit Scale: 51.821 | Logit Bias: -11.293 | Lambda Scalar: 0.000 | Total_loss: -0.22981 (-0.23760) Joint_loss: 20.213 (20.502) Cross_loss: 1.9181 (2.0317) Image_lambda_loss: 9.7784e-07 (1.1304e-05) Text_lambda_loss: 8.3787e-07 (1.2489e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:03:08 | INFO | Train Epoch: 9 [4779980/9193800 (52%)] Step: 22.0K | Data (t): 0.220 Batch (t): 1.202, 3649.55/s, 1824.78/s/gpu Logit Scale: 51.992 | Logit Bias: -11.296 | Lambda Scalar: 0.000 | Total_loss: -0.22700 (-0.23679) Joint_loss: 20.139 (20.474) Cross_loss: 1.9492 (2.0253) Image_lambda_loss: 7.5565e-06 (1.1016e-05) Text_lambda_loss: 2.0409e-05 (1.3098e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:05:04 | INFO | Train Epoch: 9 [5177980/9193800 (56%)] Step: 22.1K | Data (t): 0.202 Batch (t): 1.155, 3530.76/s, 1765.38/s/gpu Logit Scale: 52.164 | Logit Bias: -11.299 | Lambda Scalar: 0.000 | Total_loss: -0.22839 (-0.23619) Joint_loss: 20.207 (20.455) Cross_loss: 1.9066 (2.0169) Image_lambda_loss: 3.0352e-06 (1.0446e-05) Text_lambda_loss: 1.6687e-06 (1.2282e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:07:02 | INFO | Train Epoch: 9 [5575980/9193800 (61%)] Step: 22.2K | Data (t): 0.217 Batch (t): 1.181, 3329.99/s, 1665.00/s/gpu Logit Scale: 52.336 | Logit Bias: -11.303 | Lambda Scalar: 0.000 | Total_loss: -0.22444 (-0.23540) Joint_loss: 20.163 (20.435) Cross_loss: 2.0280 (2.0176) Image_lambda_loss: 5.8392e-06 (1.0139e-05) Text_lambda_loss: 2.5441e-05 (1.3159e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:09:03 | INFO | Train Epoch: 9 [5973980/9193800 (65%)] Step: 22.3K | Data (t): 0.224 Batch (t): 1.208, 3178.23/s, 1589.12/s/gpu Logit Scale: 52.510 | Logit Bias: -11.306 | Lambda Scalar: 0.000 | Total_loss: -0.22654 (-0.23485) Joint_loss: 20.290 (20.426) Cross_loss: 2.0067 (2.0169) Image_lambda_loss: 5.5913e-07 (9.5398e-06) Text_lambda_loss: 2.4266e-06 (1.2489e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:11:03 | INFO | Train Epoch: 9 [6371980/9193800 (69%)] Step: 22.4K | Data (t): 0.218 Batch (t): 1.206, 3656.65/s, 1828.32/s/gpu Logit Scale: 52.683 | Logit Bias: -11.309 | Lambda Scalar: 0.000 | Total_loss: -0.23339 (-0.23476) Joint_loss: 20.933 (20.456) Cross_loss: 2.2524 (2.0308) Image_lambda_loss: 0.00010545 (1.5182e-05) Text_lambda_loss: 6.5303e-06 (1.2138e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:13:01 | INFO | Train Epoch: 9 [6769980/9193800 (74%)] Step: 22.5K | Data (t): 0.207 Batch (t): 1.174, 3175.79/s, 1587.90/s/gpu Logit Scale: 52.856 | Logit Bias: -11.313 | Lambda Scalar: 0.000 | Total_loss: -0.22359 (-0.23414) Joint_loss: 20.282 (20.446) Cross_loss: 2.0743 (2.0332) Image_lambda_loss: 5.9738e-07 (1.4371e-05) Text_lambda_loss: 6.4662e-05 (1.5056e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:14:58 | INFO | Train Epoch: 9 [7167980/9193800 (78%)] Step: 22.6K | Data (t): 0.210 Batch (t): 1.170, 3325.27/s, 1662.63/s/gpu Logit Scale: 53.031 | Logit Bias: -11.316 | Lambda Scalar: 0.000 | Total_loss: -0.22302 (-0.23356) Joint_loss: 20.169 (20.432) Cross_loss: 1.9519 (2.0289) Image_lambda_loss: 9.3298e-06 (1.4106e-05) Text_lambda_loss: 6.7897e-07 (1.4299e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:16:58 | INFO | Train Epoch: 9 [7565980/9193800 (82%)] Step: 22.7K | Data (t): 0.220 Batch (t): 1.198, 3704.52/s, 1852.26/s/gpu Logit Scale: 53.206 | Logit Bias: -11.319 | Lambda Scalar: 0.000 | Total_loss: -0.21968 (-0.23286) Joint_loss: 20.092 (20.415) Cross_loss: 2.0121 (2.0281) Image_lambda_loss: 8.7708e-06 (1.3839e-05) Text_lambda_loss: 9.0077e-06 (1.4035e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:18:58 | INFO | Train Epoch: 9 [7963980/9193800 (87%)] Step: 22.8K | Data (t): 0.222 Batch (t): 1.204, 2913.88/s, 1456.94/s/gpu Logit Scale: 53.383 | Logit Bias: -11.323 | Lambda Scalar: 0.000 | Total_loss: -0.22406 (-0.23244) Joint_loss: 20.222 (20.405) Cross_loss: 1.8723 (2.0207) Image_lambda_loss: 1.3984e-06 (1.3247e-05) Text_lambda_loss: 3.3663e-05 (1.4969e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:20:52 | INFO | Train Epoch: 9 [8361980/9193800 (91%)] Step: 22.9K | Data (t): 0.088 Batch (t): 1.138, 4244.21/s, 2122.10/s/gpu Logit Scale: 53.559 | Logit Bias: -11.326 | Lambda Scalar: 0.000 | Total_loss: -0.23586 (-0.23260) Joint_loss: 20.986 (20.432) Cross_loss: 1.9703 (2.0184) Image_lambda_loss: 1.4662e-06 (1.2711e-05) Text_lambda_loss: 3.7703e-06 (1.4460e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:22:45 | INFO | Train Epoch: 9 [8759980/9193800 (95%)] Step: 23.0K | Data (t): 0.062 Batch (t): 1.130, 3753.03/s, 1876.51/s/gpu Logit Scale: 53.737 | Logit Bias: -11.329 | Lambda Scalar: 0.000 | Total_loss: -0.23399 (-0.23266) Joint_loss: 21.021 (20.457) Cross_loss: 2.0627 (2.0203) Image_lambda_loss: 9.7612e-05 (1.6403e-05) Text_lambda_loss: 1.1923e-05 (1.4350e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:24:38 | INFO | Train Epoch: 9 [9157980/9193800 (100%)] Step: 23.1K | Data (t): 0.067 Batch (t): 1.136, 4165.42/s, 2082.71/s/gpu Logit Scale: 53.915 | Logit Bias: -11.333 | Lambda Scalar: 0.000 | Total_loss: -0.23289 (-0.23267) Joint_loss: 20.848 (20.474) Cross_loss: 1.9070 (2.0156) Image_lambda_loss: 8.3736e-06 (1.6068e-05) Text_lambda_loss: 6.7698e-07 (1.3780e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:24:49 | INFO | Train Epoch: 9 [9193800/9193800 (100%)] Step: 23.1K | Data (t): 0.139 Batch (t): 1.169, 3189.70/s, 1594.85/s/gpu Logit Scale: 53.931 | Logit Bias: -11.333 | Lambda Scalar: 0.000 | Total_loss: -0.23751 (-0.23286) Joint_loss: 21.349 (20.509) Cross_loss: 2.1578 (2.0213) Image_lambda_loss: 8.8972e-07 (1.5461e-05) Text_lambda_loss: 7.4866e-07 (1.3259e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.4780361288064513 | | |
| 2025-01-24,11:24:49 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,11:24:49 | INFO | Building zero-shot classifier | |
| 2025-01-24,11:24:56 | INFO | Using classifier | |
| 2025-01-24,11:25:56 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,11:26:04 | INFO | Eval Epoch: 10 [1990 / 205824] Clip Loss: 1.940308 | |
| 2025-01-24,11:26:35 | INFO | Eval Epoch: 10 imagenet-zeroshot-val-top1: 0.2023 imagenet-zeroshot-val-top5: 0.4235 image_to_text_mean_rank: 44.9230 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4077 image_to_text_R@5: 0.6382 image_to_text_R@10: 0.7271 text_to_image_mean_rank: 55.4159 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4003 text_to_image_R@5: 0.6399 text_to_image_R@10: 0.7260 clip_val_loss: 1.7970 epoch: 10.0000 num_samples: 8678.0000 | |
| 2025-01-24,11:26:37 | INFO | Start epoch 10 | |
| 2025-01-24,11:26:46 | INFO | Train Epoch: 10 [ 3980/9193800 (0%)] Step: 23.1K | Data (t): 8.347 Batch (t): 9.200, 432.613/s, 216.307/s/gpu Logit Scale: 53.933 | Logit Bias: -11.333 | Lambda Scalar: 0.000 | Total_loss: -0.27542 (-0.27542) Joint_loss: 23.312 (23.312) Cross_loss: 2.0943 (2.0943) Image_lambda_loss: 1.7604e-06 (1.7604e-06) Text_lambda_loss: 2.2295e-07 (2.2295e-07) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:28:44 | INFO | Train Epoch: 10 [ 401980/9193800 (4%)] Step: 23.2K | Data (t): 0.139 Batch (t): 1.185, 3502.61/s, 1751.30/s/gpu Logit Scale: 54.110 | Logit Bias: -11.336 | Lambda Scalar: 0.000 | Total_loss: -0.25006 (-0.26274) Joint_loss: 21.844 (22.578) Cross_loss: 1.9371 (2.0157) Image_lambda_loss: 3.4341e-07 (1.0519e-06) Text_lambda_loss: 2.1438e-05 (1.0830e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:30:50 | INFO | Train Epoch: 10 [ 799980/9193800 (9%)] Step: 23.3K | Data (t): 0.223 Batch (t): 1.257, 3566.76/s, 1783.38/s/gpu Logit Scale: 54.287 | Logit Bias: -11.340 | Lambda Scalar: 0.000 | Total_loss: -0.24758 (-0.25769) Joint_loss: 21.895 (22.350) Cross_loss: 2.0772 (2.0362) Image_lambda_loss: 1.6012e-05 (6.0385e-06) Text_lambda_loss: 2.0475e-05 (1.4045e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:32:43 | INFO | Train Epoch: 10 [1197980/9193800 (13%)] Step: 23.4K | Data (t): 0.208 Batch (t): 1.129, 3705.74/s, 1852.87/s/gpu Logit Scale: 54.466 | Logit Bias: -11.343 | Lambda Scalar: 0.000 | Total_loss: -0.22673 (-0.24995) Joint_loss: 20.813 (21.966) Cross_loss: 2.0769 (2.0464) Image_lambda_loss: 5.3743e-07 (4.6632e-06) Text_lambda_loss: 4.9960e-07 (1.0659e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:34:37 | INFO | Train Epoch: 10 [1595980/9193800 (17%)] Step: 23.5K | Data (t): 0.196 Batch (t): 1.142, 3342.94/s, 1671.47/s/gpu Logit Scale: 54.646 | Logit Bias: -11.346 | Lambda Scalar: 0.000 | Total_loss: -0.22474 (-0.24491) Joint_loss: 20.751 (21.723) Cross_loss: 2.0816 (2.0534) Image_lambda_loss: 1.1670e-06 (3.9640e-06) Text_lambda_loss: 5.5576e-06 (9.6385e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:36:29 | INFO | Train Epoch: 10 [1993980/9193800 (22%)] Step: 23.6K | Data (t): 0.198 Batch (t): 1.118, 3634.04/s, 1817.02/s/gpu Logit Scale: 54.826 | Logit Bias: -11.350 | Lambda Scalar: 0.000 | Total_loss: -0.22475 (-0.24155) Joint_loss: 20.737 (21.559) Cross_loss: 2.0258 (2.0488) Image_lambda_loss: 6.2332e-07 (3.4072e-06) Text_lambda_loss: 1.7236e-06 (8.3194e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:38:22 | INFO | Train Epoch: 10 [2391980/9193800 (26%)] Step: 23.7K | Data (t): 0.195 Batch (t): 1.128, 3603.44/s, 1801.72/s/gpu Logit Scale: 55.005 | Logit Bias: -11.353 | Lambda Scalar: 0.000 | Total_loss: -0.23312 (-0.24034) Joint_loss: 21.163 (21.502) Cross_loss: 1.9556 (2.0355) Image_lambda_loss: 1.5415e-06 (3.1407e-06) Text_lambda_loss: 2.8768e-06 (7.5419e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:40:15 | INFO | Train Epoch: 10 [2789980/9193800 (30%)] Step: 23.8K | Data (t): 0.200 Batch (t): 1.131, 3501.72/s, 1750.86/s/gpu Logit Scale: 55.187 | Logit Bias: -11.356 | Lambda Scalar: 0.000 | Total_loss: -0.22827 (-0.23883) Joint_loss: 20.972 (21.436) Cross_loss: 1.9871 (2.0295) Image_lambda_loss: 5.1373e-06 (3.3903e-06) Text_lambda_loss: 2.5063e-05 (9.7320e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:42:08 | INFO | Train Epoch: 10 [3187980/9193800 (35%)] Step: 23.9K | Data (t): 0.201 Batch (t): 1.132, 3527.46/s, 1763.73/s/gpu Logit Scale: 55.370 | Logit Bias: -11.360 | Lambda Scalar: 0.000 | Total_loss: -0.22586 (-0.23739) Joint_loss: 20.899 (21.376) Cross_loss: 2.0049 (2.0267) Image_lambda_loss: 5.4485e-06 (3.6189e-06) Text_lambda_loss: 3.4172e-06 (9.0303e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:44:02 | INFO | Train Epoch: 10 [3585980/9193800 (39%)] Step: 24.0K | Data (t): 0.202 Batch (t): 1.142, 3605.87/s, 1802.93/s/gpu Logit Scale: 55.554 | Logit Bias: -11.363 | Lambda Scalar: 0.000 | Total_loss: -0.23493 (-0.23715) Joint_loss: 21.579 (21.396) Cross_loss: 2.1441 (2.0385) Image_lambda_loss: 6.5095e-07 (3.3221e-06) Text_lambda_loss: 1.4376e-05 (9.5649e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:45:57 | INFO | Train Epoch: 10 [3983980/9193800 (43%)] Step: 24.1K | Data (t): 0.216 Batch (t): 1.149, 3530.03/s, 1765.01/s/gpu Logit Scale: 55.737 | Logit Bias: -11.366 | Lambda Scalar: 0.000 | Total_loss: -0.22276 (-0.23584) Joint_loss: 20.790 (21.341) Cross_loss: 1.9843 (2.0335) Image_lambda_loss: 3.4692e-05 (6.1740e-06) Text_lambda_loss: 2.3160e-05 (1.0801e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:47:52 | INFO | Train Epoch: 10 [4381980/9193800 (48%)] Step: 24.2K | Data (t): 0.214 Batch (t): 1.150, 3573.74/s, 1786.87/s/gpu Logit Scale: 55.922 | Logit Bias: -11.370 | Lambda Scalar: 0.000 | Total_loss: -0.22531 (-0.23496) Joint_loss: 21.098 (21.321) Cross_loss: 2.1096 (2.0399) Image_lambda_loss: 4.0696e-06 (5.9986e-06) Text_lambda_loss: 1.1512e-06 (9.9967e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:49:54 | INFO | Train Epoch: 10 [4779980/9193800 (52%)] Step: 24.3K | Data (t): 0.220 Batch (t): 1.219, 3202.56/s, 1601.28/s/gpu Logit Scale: 56.107 | Logit Bias: -11.373 | Lambda Scalar: 0.000 | Total_loss: -0.22551 (-0.23423) Joint_loss: 21.024 (21.298) Cross_loss: 1.9830 (2.0355) Image_lambda_loss: 1.5689e-06 (5.6578e-06) Text_lambda_loss: 6.2074e-06 (9.7052e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:51:53 | INFO | Train Epoch: 10 [5177980/9193800 (56%)] Step: 24.4K | Data (t): 0.237 Batch (t): 1.191, 3631.48/s, 1815.74/s/gpu Logit Scale: 56.292 | Logit Bias: -11.376 | Lambda Scalar: 0.000 | Total_loss: -0.21812 (-0.23308) Joint_loss: 20.621 (21.250) Cross_loss: 1.9511 (2.0295) Image_lambda_loss: 2.4044e-06 (5.4255e-06) Text_lambda_loss: 1.4333e-06 (9.1144e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:53:53 | INFO | Train Epoch: 10 [5575980/9193800 (61%)] Step: 24.5K | Data (t): 0.234 Batch (t): 1.200, 3205.81/s, 1602.90/s/gpu Logit Scale: 56.478 | Logit Bias: -11.380 | Lambda Scalar: 0.000 | Total_loss: -0.22702 (-0.23268) Joint_loss: 21.193 (21.246) Cross_loss: 1.9840 (2.0264) Image_lambda_loss: 4.3232e-06 (5.3520e-06) Text_lambda_loss: 7.8533e-07 (8.5591e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:55:55 | INFO | Train Epoch: 10 [5973980/9193800 (65%)] Step: 24.6K | Data (t): 0.244 Batch (t): 1.215, 3140.52/s, 1570.26/s/gpu Logit Scale: 56.664 | Logit Bias: -11.383 | Lambda Scalar: 0.000 | Total_loss: -0.21098 (-0.23132) Joint_loss: 20.287 (21.186) Cross_loss: 1.9365 (2.0208) Image_lambda_loss: 7.4515e-07 (5.0640e-06) Text_lambda_loss: 1.0668e-06 (8.0908e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:57:56 | INFO | Train Epoch: 10 [6371980/9193800 (69%)] Step: 24.7K | Data (t): 0.224 Batch (t): 1.211, 3245.19/s, 1622.59/s/gpu Logit Scale: 56.851 | Logit Bias: -11.386 | Lambda Scalar: 0.000 | Total_loss: -0.21344 (-0.23027) Joint_loss: 20.507 (21.146) Cross_loss: 1.9785 (2.0183) Image_lambda_loss: 7.5841e-07 (4.8108e-06) Text_lambda_loss: 5.1786e-07 (7.6454e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,11:59:55 | INFO | Train Epoch: 10 [6769980/9193800 (74%)] Step: 24.8K | Data (t): 0.199 Batch (t): 1.195, 3081.88/s, 1540.94/s/gpu Logit Scale: 57.040 | Logit Bias: -11.390 | Lambda Scalar: 0.000 | Total_loss: -0.21791 (-0.22958) Joint_loss: 20.745 (21.124) Cross_loss: 1.9241 (2.0131) Image_lambda_loss: 2.8572e-06 (4.7022e-06) Text_lambda_loss: 9.2346e-07 (7.2719e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,12:01:54 | INFO | Train Epoch: 10 [7167980/9193800 (78%)] Step: 24.9K | Data (t): 0.211 Batch (t): 1.183, 3284.10/s, 1642.05/s/gpu Logit Scale: 57.228 | Logit Bias: -11.393 | Lambda Scalar: 0.000 | Total_loss: -0.21533 (-0.22883) Joint_loss: 20.726 (21.103) Cross_loss: 2.0097 (2.0129) Image_lambda_loss: 6.8518e-07 (4.4908e-06) Text_lambda_loss: 2.6760e-06 (7.0300e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,12:03:49 | INFO | Train Epoch: 10 [7565980/9193800 (82%)] Step: 25.0K | Data (t): 0.208 Batch (t): 1.158, 3577.57/s, 1788.79/s/gpu Logit Scale: 57.418 | Logit Bias: -11.396 | Lambda Scalar: 0.000 | Total_loss: -0.21826 (-0.22830) Joint_loss: 20.909 (21.093) Cross_loss: 1.9851 (2.0115) Image_lambda_loss: 1.2716e-06 (4.3299e-06) Text_lambda_loss: 4.7430e-06 (6.9157e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,12:05:49 | INFO | Train Epoch: 10 [7963980/9193800 (87%)] Step: 25.1K | Data (t): 0.215 Batch (t): 1.197, 3188.72/s, 1594.36/s/gpu Logit Scale: 57.608 | Logit Bias: -11.400 | Lambda Scalar: 0.000 | Total_loss: -0.21233 (-0.22754) Joint_loss: 20.499 (21.065) Cross_loss: 1.8722 (2.0049) Image_lambda_loss: 6.5235e-07 (4.1547e-06) Text_lambda_loss: 1.1022e-05 (7.1112e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,12:07:44 | INFO | Train Epoch: 10 [8361980/9193800 (91%)] Step: 25.2K | Data (t): 0.105 Batch (t): 1.149, 3559.31/s, 1779.65/s/gpu Logit Scale: 57.798 | Logit Bias: -11.403 | Lambda Scalar: 0.000 | Total_loss: -0.22460 (-0.22741) Joint_loss: 21.362 (21.078) Cross_loss: 1.9922 (2.0043) Image_lambda_loss: 3.2497e-06 (4.1136e-06) Text_lambda_loss: 4.3469e-06 (6.9856e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,12:09:37 | INFO | Train Epoch: 10 [8759980/9193800 (95%)] Step: 25.3K | Data (t): 0.089 Batch (t): 1.129, 4193.40/s, 2096.70/s/gpu Logit Scale: 57.989 | Logit Bias: -11.406 | Lambda Scalar: 0.000 | Total_loss: -0.23276 (-0.22764) Joint_loss: 21.799 (21.110) Cross_loss: 1.9168 (2.0005) Image_lambda_loss: 1.4683e-06 (3.9986e-06) Text_lambda_loss: 1.0111e-05 (7.1215e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,12:11:32 | INFO | Train Epoch: 10 [9157980/9193800 (100%)] Step: 25.4K | Data (t): 0.119 Batch (t): 1.149, 3794.59/s, 1897.30/s/gpu Logit Scale: 58.181 | Logit Bias: -11.410 | Lambda Scalar: 0.000 | Total_loss: -0.22069 (-0.22735) Joint_loss: 21.305 (21.118) Cross_loss: 2.0747 (2.0036) Image_lambda_loss: 9.1974e-06 (4.2152e-06) Text_lambda_loss: 1.2346e-05 (7.3392e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,12:11:43 | INFO | Train Epoch: 10 [9193800/9193800 (100%)] Step: 25.4K | Data (t): 0.155 Batch (t): 1.216, 3361.13/s, 1680.56/s/gpu Logit Scale: 58.198 | Logit Bias: -11.410 | Lambda Scalar: 0.000 | Total_loss: -0.22522 (-0.22727) Joint_loss: 21.508 (21.134) Cross_loss: 2.0120 (2.0039) Image_lambda_loss: 4.1392e-06 (4.2122e-06) Text_lambda_loss: 1.2892e-06 (7.0972e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.553073372946036 | | |
| 2025-01-24,12:11:43 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,12:11:43 | INFO | Building zero-shot classifier | |
| 2025-01-24,12:11:50 | INFO | Using classifier | |
| 2025-01-24,12:12:52 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,12:12:59 | INFO | Eval Epoch: 11 [1990 / 205824] Clip Loss: 1.878230 | |
| 2025-01-24,12:13:30 | INFO | Eval Epoch: 11 imagenet-zeroshot-val-top1: 0.2084 imagenet-zeroshot-val-top5: 0.4335 image_to_text_mean_rank: 45.9638 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4223 image_to_text_R@5: 0.6564 image_to_text_R@10: 0.7345 text_to_image_mean_rank: 54.0131 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4152 text_to_image_R@5: 0.6513 text_to_image_R@10: 0.7330 clip_val_loss: 1.7585 epoch: 11.0000 num_samples: 8678.0000 | |
| 2025-01-24,12:13:33 | INFO | Start epoch 11 | |
| 2025-01-24,12:13:42 | INFO | Train Epoch: 11 [ 3980/9193800 (0%)] Step: 25.4K | Data (t): 8.451 Batch (t): 9.347, 425.784/s, 212.892/s/gpu Logit Scale: 58.200 | Logit Bias: -11.410 | Lambda Scalar: 0.000 | Total_loss: -0.23108 (-0.23108) Joint_loss: 21.772 (21.772) Cross_loss: 1.9371 (1.9371) Image_lambda_loss: 1.0087e-05 (1.0087e-05) Text_lambda_loss: 2.8951e-07 (2.8951e-07) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:15:42 | INFO | Train Epoch: 11 [ 401980/9193800 (4%)] Step: 25.5K | Data (t): 0.132 Batch (t): 1.195, 3419.63/s, 1709.81/s/gpu Logit Scale: 58.393 | Logit Bias: -11.413 | Lambda Scalar: 0.000 | Total_loss: -0.23193 (-0.23151) Joint_loss: 21.923 (21.847) Cross_loss: 1.9948 (1.9659) Image_lambda_loss: 1.7697e-06 (5.9284e-06) Text_lambda_loss: 1.7357e-07 (2.3154e-07) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:17:42 | INFO | Train Epoch: 11 [ 799980/9193800 (9%)] Step: 25.6K | Data (t): 0.225 Batch (t): 1.207, 2971.57/s, 1485.78/s/gpu Logit Scale: 58.585 | Logit Bias: -11.417 | Lambda Scalar: 0.000 | Total_loss: -0.22632 (-0.22978) Joint_loss: 21.572 (21.756) Cross_loss: 1.9257 (1.9525) Image_lambda_loss: 4.3681e-07 (4.0979e-06) Text_lambda_loss: 7.4445e-06 (2.6358e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:19:44 | INFO | Train Epoch: 11 [1197980/9193800 (13%)] Step: 25.7K | Data (t): 0.249 Batch (t): 1.216, 3303.32/s, 1651.66/s/gpu Logit Scale: 58.779 | Logit Bias: -11.420 | Lambda Scalar: 0.000 | Total_loss: -0.22073 (-0.22752) Joint_loss: 21.381 (21.662) Cross_loss: 2.0162 (1.9684) Image_lambda_loss: 2.3883e-06 (3.6705e-06) Text_lambda_loss: 7.9566e-06 (3.9660e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:21:44 | INFO | Train Epoch: 11 [1595980/9193800 (17%)] Step: 25.8K | Data (t): 0.233 Batch (t): 1.203, 3333.39/s, 1666.70/s/gpu Logit Scale: 58.974 | Logit Bias: -11.423 | Lambda Scalar: 0.000 | Total_loss: -0.23295 (-0.22860) Joint_loss: 22.052 (21.740) Cross_loss: 1.9292 (1.9606) Image_lambda_loss: 5.0415e-07 (3.0372e-06) Text_lambda_loss: 3.0044e-07 (3.2329e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:23:44 | INFO | Train Epoch: 11 [1993980/9193800 (22%)] Step: 25.9K | Data (t): 0.232 Batch (t): 1.194, 3130.15/s, 1565.08/s/gpu Logit Scale: 59.169 | Logit Bias: -11.427 | Lambda Scalar: 0.000 | Total_loss: -0.22076 (-0.22730) Joint_loss: 21.407 (21.684) Cross_loss: 1.9537 (1.9594) Image_lambda_loss: 6.4826e-07 (2.6391e-06) Text_lambda_loss: 1.5679e-06 (2.9554e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:25:41 | INFO | Train Epoch: 11 [2391980/9193800 (26%)] Step: 26.0K | Data (t): 0.223 Batch (t): 1.177, 3736.20/s, 1868.10/s/gpu Logit Scale: 59.364 | Logit Bias: -11.430 | Lambda Scalar: 0.000 | Total_loss: -0.21772 (-0.22593) Joint_loss: 21.265 (21.624) Cross_loss: 1.9479 (1.9578) Image_lambda_loss: 6.3721e-07 (2.3531e-06) Text_lambda_loss: 5.4509e-06 (3.3119e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:27:40 | INFO | Train Epoch: 11 [2789980/9193800 (30%)] Step: 26.1K | Data (t): 0.229 Batch (t): 1.192, 3606.94/s, 1803.47/s/gpu Logit Scale: 59.560 | Logit Bias: -11.433 | Lambda Scalar: 0.000 | Total_loss: -0.22184 (-0.22542) Joint_loss: 21.569 (21.618) Cross_loss: 1.9659 (1.9588) Image_lambda_loss: 4.8842e-07 (2.1200e-06) Text_lambda_loss: 2.1058e-05 (5.5302e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:29:36 | INFO | Train Epoch: 11 [3187980/9193800 (35%)] Step: 26.2K | Data (t): 0.219 Batch (t): 1.157, 3593.19/s, 1796.60/s/gpu Logit Scale: 59.757 | Logit Bias: -11.437 | Lambda Scalar: 0.000 | Total_loss: -0.21649 (-0.22443) Joint_loss: 21.291 (21.581) Cross_loss: 1.9613 (1.9591) Image_lambda_loss: 1.0144e-05 (3.0116e-06) Text_lambda_loss: 6.9121e-06 (5.6837e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:31:33 | INFO | Train Epoch: 11 [3585980/9193800 (39%)] Step: 26.3K | Data (t): 0.219 Batch (t): 1.166, 3787.76/s, 1893.88/s/gpu Logit Scale: 59.955 | Logit Bias: -11.440 | Lambda Scalar: 0.000 | Total_loss: -0.21878 (-0.22386) Joint_loss: 21.646 (21.588) Cross_loss: 2.1376 (1.9769) Image_lambda_loss: 8.0444e-07 (2.7909e-06) Text_lambda_loss: 1.7026e-06 (5.2856e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:33:33 | INFO | Train Epoch: 11 [3983980/9193800 (43%)] Step: 26.4K | Data (t): 0.227 Batch (t): 1.201, 3467.33/s, 1733.67/s/gpu Logit Scale: 60.153 | Logit Bias: -11.443 | Lambda Scalar: 0.000 | Total_loss: -0.21381 (-0.22295) Joint_loss: 21.315 (21.563) Cross_loss: 2.0597 (1.9845) Image_lambda_loss: 8.6511e-07 (2.6158e-06) Text_lambda_loss: 4.7260e-07 (4.8481e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:35:31 | INFO | Train Epoch: 11 [4381980/9193800 (48%)] Step: 26.5K | Data (t): 0.219 Batch (t): 1.185, 3063.56/s, 1531.78/s/gpu Logit Scale: 60.351 | Logit Bias: -11.447 | Lambda Scalar: 0.000 | Total_loss: -0.21536 (-0.22232) Joint_loss: 21.431 (21.552) Cross_loss: 2.0403 (1.9891) Image_lambda_loss: 6.5529e-07 (2.4524e-06) Text_lambda_loss: 9.4152e-07 (4.5225e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:37:30 | INFO | Train Epoch: 11 [4779980/9193800 (52%)] Step: 26.6K | Data (t): 0.225 Batch (t): 1.185, 3365.19/s, 1682.59/s/gpu Logit Scale: 60.551 | Logit Bias: -11.450 | Lambda Scalar: 0.000 | Total_loss: -0.21066 (-0.22142) Joint_loss: 21.257 (21.529) Cross_loss: 2.1061 (1.9981) Image_lambda_loss: 0.00011472 (1.1089e-05) Text_lambda_loss: 4.4438e-06 (4.5165e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:39:27 | INFO | Train Epoch: 11 [5177980/9193800 (56%)] Step: 26.7K | Data (t): 0.227 Batch (t): 1.172, 3682.73/s, 1841.37/s/gpu Logit Scale: 60.750 | Logit Bias: -11.453 | Lambda Scalar: 0.000 | Total_loss: -0.21475 (-0.22094) Joint_loss: 21.556 (21.531) Cross_loss: 2.1157 (2.0065) Image_lambda_loss: 4.5453e-06 (1.0621e-05) Text_lambda_loss: 5.2420e-07 (4.2313e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:41:28 | INFO | Train Epoch: 11 [5575980/9193800 (61%)] Step: 26.8K | Data (t): 0.243 Batch (t): 1.205, 3063.06/s, 1531.53/s/gpu Logit Scale: 60.951 | Logit Bias: -11.457 | Lambda Scalar: 0.000 | Total_loss: -0.20715 (-0.22002) Joint_loss: 20.910 (21.490) Cross_loss: 1.8866 (1.9985) Image_lambda_loss: 5.7374e-07 (9.9513e-06) Text_lambda_loss: 8.0391e-07 (4.0028e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:43:26 | INFO | Train Epoch: 11 [5973980/9193800 (65%)] Step: 26.9K | Data (t): 0.223 Batch (t): 1.181, 3111.77/s, 1555.89/s/gpu Logit Scale: 61.152 | Logit Bias: -11.460 | Lambda Scalar: 0.000 | Total_loss: -0.21574 (-0.21976) Joint_loss: 21.690 (21.502) Cross_loss: 2.1034 (2.0051) Image_lambda_loss: 1.4566e-05 (1.0240e-05) Text_lambda_loss: 3.7723e-05 (6.1103e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:45:25 | INFO | Train Epoch: 11 [6371980/9193800 (69%)] Step: 27.0K | Data (t): 0.220 Batch (t): 1.191, 3773.79/s, 1886.89/s/gpu Logit Scale: 61.354 | Logit Bias: -11.463 | Lambda Scalar: 0.000 | Total_loss: -0.21319 (-0.21937) Joint_loss: 21.451 (21.499) Cross_loss: 1.9767 (2.0034) Image_lambda_loss: 2.7983e-05 (1.1283e-05) Text_lambda_loss: 1.3978e-05 (6.5731e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:47:23 | INFO | Train Epoch: 11 [6769980/9193800 (74%)] Step: 27.1K | Data (t): 0.225 Batch (t): 1.186, 3274.93/s, 1637.47/s/gpu Logit Scale: 61.557 | Logit Bias: -11.467 | Lambda Scalar: 0.000 | Total_loss: -0.20834 (-0.21876) Joint_loss: 21.220 (21.484) Cross_loss: 1.9987 (2.0031) Image_lambda_loss: 2.7265e-06 (1.0808e-05) Text_lambda_loss: 1.2994e-06 (6.2802e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:49:30 | INFO | Train Epoch: 11 [7167980/9193800 (78%)] Step: 27.2K | Data (t): 0.230 Batch (t): 1.266, 3284.58/s, 1642.29/s/gpu Logit Scale: 61.761 | Logit Bias: -11.470 | Lambda Scalar: 0.000 | Total_loss: -0.21035 (-0.21831) Joint_loss: 21.409 (21.480) Cross_loss: 2.0218 (2.0041) Image_lambda_loss: 2.1810e-05 (1.1387e-05) Text_lambda_loss: 7.4603e-07 (5.9889e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:51:37 | INFO | Train Epoch: 11 [7565980/9193800 (82%)] Step: 27.3K | Data (t): 0.229 Batch (t): 1.266, 3602.59/s, 1801.29/s/gpu Logit Scale: 61.963 | Logit Bias: -11.473 | Lambda Scalar: 0.000 | Total_loss: -0.20671 (-0.21773) Joint_loss: 21.243 (21.468) Cross_loss: 2.0372 (2.0058) Image_lambda_loss: 6.6808e-06 (1.1152e-05) Text_lambda_loss: 4.0754e-07 (5.7098e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:53:32 | INFO | Train Epoch: 11 [7963980/9193800 (87%)] Step: 27.4K | Data (t): 0.225 Batch (t): 1.154, 3513.13/s, 1756.57/s/gpu Logit Scale: 62.168 | Logit Bias: -11.477 | Lambda Scalar: 0.000 | Total_loss: -0.20515 (-0.21713) Joint_loss: 21.268 (21.458) Cross_loss: 2.1158 (2.0110) Image_lambda_loss: 1.3218e-06 (1.0684e-05) Text_lambda_loss: 6.7161e-07 (5.4699e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:55:30 | INFO | Train Epoch: 11 [8361980/9193800 (91%)] Step: 27.5K | Data (t): 0.149 Batch (t): 1.183, 3092.91/s, 1546.46/s/gpu Logit Scale: 62.373 | Logit Bias: -11.480 | Lambda Scalar: 0.000 | Total_loss: -0.21271 (-0.21693) Joint_loss: 21.535 (21.462) Cross_loss: 1.8726 (2.0047) Image_lambda_loss: 7.7575e-06 (1.0551e-05) Text_lambda_loss: 5.9689e-06 (5.4926e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:57:24 | INFO | Train Epoch: 11 [8759980/9193800 (95%)] Step: 27.6K | Data (t): 0.165 Batch (t): 1.139, 3473.87/s, 1736.94/s/gpu Logit Scale: 62.580 | Logit Bias: -11.483 | Lambda Scalar: 0.000 | Total_loss: -0.21868 (-0.21701) Joint_loss: 22.051 (21.487) Cross_loss: 1.9747 (2.0034) Image_lambda_loss: 7.2787e-06 (1.0408e-05) Text_lambda_loss: 1.6212e-06 (5.3243e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:59:19 | INFO | Train Epoch: 11 [9157980/9193800 (100%)] Step: 27.7K | Data (t): 0.170 Batch (t): 1.145, 2559.43/s, 1279.71/s/gpu Logit Scale: 62.787 | Logit Bias: -11.487 | Lambda Scalar: 0.000 | Total_loss: -0.21456 (-0.21691) Joint_loss: 21.946 (21.507) Cross_loss: 2.0815 (2.0067) Image_lambda_loss: 9.2231e-07 (1.0013e-05) Text_lambda_loss: 7.8657e-06 (5.4302e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:59:29 | INFO | Train Epoch: 11 [9193800/9193800 (100%)] Step: 27.7K | Data (t): 0.201 Batch (t): 1.132, 3394.14/s, 1697.07/s/gpu Logit Scale: 62.806 | Logit Bias: -11.487 | Lambda Scalar: 0.000 | Total_loss: -0.21565 (-0.21686) Joint_loss: 21.950 (21.524) Cross_loss: 2.0126 (2.0069) Image_lambda_loss: 8.3554e-07 (9.6461e-06) Text_lambda_loss: 3.9958e-06 (5.3728e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.6222280932078408 | | |
| 2025-01-24,12:59:29 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,12:59:29 | INFO | Building zero-shot classifier | |
| 2025-01-24,12:59:36 | INFO | Using classifier | |
| 2025-01-24,13:00:38 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,13:00:45 | INFO | Eval Epoch: 12 [1990 / 205824] Clip Loss: 1.862176 | |
| 2025-01-24,13:01:17 | INFO | Eval Epoch: 12 imagenet-zeroshot-val-top1: 0.2131 imagenet-zeroshot-val-top5: 0.4401 image_to_text_mean_rank: 44.4912 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4230 image_to_text_R@5: 0.6536 image_to_text_R@10: 0.7348 text_to_image_mean_rank: 52.6567 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4206 text_to_image_R@5: 0.6521 text_to_image_R@10: 0.7290 clip_val_loss: 1.7436 epoch: 12.0000 num_samples: 8678.0000 | |
| 2025-01-24,13:01:19 | INFO | Start epoch 12 | |
| 2025-01-24,13:01:28 | INFO | Train Epoch: 12 [ 3980/9193800 (0%)] Step: 27.7K | Data (t): 8.334 Batch (t): 9.178, 433.627/s, 216.813/s/gpu Logit Scale: 62.808 | Logit Bias: -11.487 | Lambda Scalar: 0.000 | Total_loss: -0.22009 (-0.22009) Joint_loss: 22.158 (22.158) Cross_loss: 1.9438 (1.9438) Image_lambda_loss: 2.8861e-07 (2.8861e-07) Text_lambda_loss: 3.4906e-06 (3.4906e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:03:26 | INFO | Train Epoch: 12 [ 401980/9193800 (4%)] Step: 27.8K | Data (t): 0.125 Batch (t): 1.180, 3336.07/s, 1668.04/s/gpu Logit Scale: 63.014 | Logit Bias: -11.490 | Lambda Scalar: 0.000 | Total_loss: -0.21222 (-0.21615) Joint_loss: 21.798 (21.978) Cross_loss: 2.0304 (1.9871) Image_lambda_loss: 7.3924e-07 (5.1393e-07) Text_lambda_loss: 4.1503e-07 (1.9528e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:05:24 | INFO | Train Epoch: 12 [ 799980/9193800 (9%)] Step: 27.9K | Data (t): 0.217 Batch (t): 1.185, 3613.44/s, 1806.72/s/gpu Logit Scale: 63.222 | Logit Bias: -11.494 | Lambda Scalar: 0.000 | Total_loss: -0.22873 (-0.22035) Joint_loss: 22.812 (22.256) Cross_loss: 1.9648 (1.9797) Image_lambda_loss: 1.5361e-06 (8.5465e-07) Text_lambda_loss: 1.2667e-06 (1.7241e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:07:24 | INFO | Train Epoch: 12 [1197980/9193800 (13%)] Step: 28.0K | Data (t): 0.240 Batch (t): 1.196, 3398.89/s, 1699.45/s/gpu Logit Scale: 63.429 | Logit Bias: -11.497 | Lambda Scalar: 0.000 | Total_loss: -0.21452 (-0.21889) Joint_loss: 22.067 (22.209) Cross_loss: 2.0666 (2.0014) Image_lambda_loss: 7.5668e-07 (8.3016e-07) Text_lambda_loss: 8.0230e-07 (1.4937e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:09:22 | INFO | Train Epoch: 12 [1595980/9193800 (17%)] Step: 28.1K | Data (t): 0.225 Batch (t): 1.179, 3463.34/s, 1731.67/s/gpu Logit Scale: 63.639 | Logit Bias: -11.500 | Lambda Scalar: 0.000 | Total_loss: -0.22852 (-0.22082) Joint_loss: 22.984 (22.364) Cross_loss: 2.0545 (2.0120) Image_lambda_loss: 7.6014e-07 (8.1615e-07) Text_lambda_loss: 1.4268e-06 (1.4803e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:11:19 | INFO | Train Epoch: 12 [1993980/9193800 (22%)] Step: 28.2K | Data (t): 0.226 Batch (t): 1.168, 3573.89/s, 1786.94/s/gpu Logit Scale: 63.850 | Logit Bias: -11.504 | Lambda Scalar: 0.000 | Total_loss: -0.20860 (-0.21878) Joint_loss: 21.767 (22.264) Cross_loss: 2.0514 (2.0186) Image_lambda_loss: 7.6932e-05 (1.3502e-05) Text_lambda_loss: 1.4331e-05 (3.6221e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:13:17 | INFO | Train Epoch: 12 [2391980/9193800 (26%)] Step: 28.3K | Data (t): 0.225 Batch (t): 1.181, 3127.95/s, 1563.97/s/gpu Logit Scale: 64.061 | Logit Bias: -11.507 | Lambda Scalar: 0.000 | Total_loss: -0.21290 (-0.21794) Joint_loss: 22.092 (22.240) Cross_loss: 2.0592 (2.0244) Image_lambda_loss: 5.1403e-07 (1.1647e-05) Text_lambda_loss: 3.9145e-07 (3.1606e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:15:13 | INFO | Train Epoch: 12 [2789980/9193800 (30%)] Step: 28.4K | Data (t): 0.229 Batch (t): 1.164, 3671.37/s, 1835.68/s/gpu Logit Scale: 64.272 | Logit Bias: -11.510 | Lambda Scalar: 0.000 | Total_loss: -0.21479 (-0.21755) Joint_loss: 22.118 (22.225) Cross_loss: 1.9195 (2.0113) Image_lambda_loss: 3.1082e-06 (1.0579e-05) Text_lambda_loss: 2.5781e-07 (2.7977e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:17:11 | INFO | Train Epoch: 12 [3187980/9193800 (35%)] Step: 28.5K | Data (t): 0.215 Batch (t): 1.178, 3726.74/s, 1863.37/s/gpu Logit Scale: 64.485 | Logit Bias: -11.514 | Lambda Scalar: 0.000 | Total_loss: -0.21328 (-0.21707) Joint_loss: 22.233 (22.225) Cross_loss: 2.0852 (2.0195) Image_lambda_loss: 3.2493e-05 (1.3014e-05) Text_lambda_loss: 2.1940e-06 (2.7306e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:19:11 | INFO | Train Epoch: 12 [3585980/9193800 (39%)] Step: 28.6K | Data (t): 0.215 Batch (t): 1.197, 3741.18/s, 1870.59/s/gpu Logit Scale: 64.697 | Logit Bias: -11.517 | Lambda Scalar: 0.000 | Total_loss: -0.20325 (-0.21569) Joint_loss: 21.498 (22.153) Cross_loss: 1.9491 (2.0125) Image_lambda_loss: 1.5035e-06 (1.1863e-05) Text_lambda_loss: 3.8397e-07 (2.4960e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:21:04 | INFO | Train Epoch: 12 [3983980/9193800 (43%)] Step: 28.7K | Data (t): 0.215 Batch (t): 1.134, 3582.89/s, 1791.45/s/gpu Logit Scale: 64.910 | Logit Bias: -11.521 | Lambda Scalar: 0.000 | Total_loss: -0.20602 (-0.21481) Joint_loss: 21.647 (22.107) Cross_loss: 1.8761 (2.0001) Image_lambda_loss: 8.1433e-05 (1.8188e-05) Text_lambda_loss: 4.8131e-07 (2.3128e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:22:57 | INFO | Train Epoch: 12 [4381980/9193800 (48%)] Step: 28.8K | Data (t): 0.210 Batch (t): 1.129, 3451.36/s, 1725.68/s/gpu Logit Scale: 65.125 | Logit Bias: -11.524 | Lambda Scalar: 0.000 | Total_loss: -0.20396 (-0.21391) Joint_loss: 21.797 (22.081) Cross_loss: 2.1160 (2.0097) Image_lambda_loss: 6.1529e-06 (1.7185e-05) Text_lambda_loss: 1.7246e-06 (2.2638e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:24:50 | INFO | Train Epoch: 12 [4779980/9193800 (52%)] Step: 28.9K | Data (t): 0.217 Batch (t): 1.128, 3626.00/s, 1813.00/s/gpu Logit Scale: 65.340 | Logit Bias: -11.527 | Lambda Scalar: 0.000 | Total_loss: -0.20400 (-0.21314) Joint_loss: 21.755 (22.056) Cross_loss: 2.0271 (2.0111) Image_lambda_loss: 6.4153e-05 (2.0798e-05) Text_lambda_loss: 9.6081e-06 (2.8288e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:26:42 | INFO | Train Epoch: 12 [5177980/9193800 (56%)] Step: 29.0K | Data (t): 0.213 Batch (t): 1.120, 3543.10/s, 1771.55/s/gpu Logit Scale: 65.555 | Logit Bias: -11.531 | Lambda Scalar: 0.000 | Total_loss: -0.20104 (-0.21228) Joint_loss: 21.611 (22.024) Cross_loss: 2.0314 (2.0125) Image_lambda_loss: 3.5984e-06 (1.9569e-05) Text_lambda_loss: 1.3153e-06 (2.7207e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:28:35 | INFO | Train Epoch: 12 [5575980/9193800 (61%)] Step: 29.1K | Data (t): 0.210 Batch (t): 1.132, 3718.20/s, 1859.10/s/gpu Logit Scale: 65.772 | Logit Bias: -11.534 | Lambda Scalar: 0.000 | Total_loss: -0.20606 (-0.21187) Joint_loss: 21.951 (22.019) Cross_loss: 2.0002 (2.0117) Image_lambda_loss: 2.5188e-06 (1.8432e-05) Text_lambda_loss: 5.6418e-06 (2.9154e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:30:27 | INFO | Train Epoch: 12 [5973980/9193800 (65%)] Step: 29.2K | Data (t): 0.216 Batch (t): 1.124, 3754.32/s, 1877.16/s/gpu Logit Scale: 65.988 | Logit Bias: -11.537 | Lambda Scalar: 0.000 | Total_loss: -0.20279 (-0.21130) Joint_loss: 21.657 (21.997) Cross_loss: 1.8761 (2.0032) Image_lambda_loss: 7.8416e-07 (1.7329e-05) Text_lambda_loss: 8.4634e-07 (2.7861e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:32:20 | INFO | Train Epoch: 12 [6371980/9193800 (69%)] Step: 29.3K | Data (t): 0.216 Batch (t): 1.125, 3629.49/s, 1814.75/s/gpu Logit Scale: 66.205 | Logit Bias: -11.540 | Lambda Scalar: 0.000 | Total_loss: -0.20248 (-0.21078) Joint_loss: 21.870 (21.989) Cross_loss: 2.0658 (2.0069) Image_lambda_loss: 7.2720e-07 (1.6353e-05) Text_lambda_loss: 1.1886e-06 (2.6921e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:34:12 | INFO | Train Epoch: 12 [6769980/9193800 (74%)] Step: 29.4K | Data (t): 0.209 Batch (t): 1.119, 3342.34/s, 1671.17/s/gpu Logit Scale: 66.423 | Logit Bias: -11.544 | Lambda Scalar: 0.000 | Total_loss: -0.20400 (-0.21040) Joint_loss: 22.017 (21.991) Cross_loss: 2.0676 (2.0103) Image_lambda_loss: 1.0881e-06 (1.5505e-05) Text_lambda_loss: 3.9069e-07 (2.5643e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:36:04 | INFO | Train Epoch: 12 [7167980/9193800 (78%)] Step: 29.5K | Data (t): 0.220 Batch (t): 1.127, 3802.94/s, 1901.47/s/gpu Logit Scale: 66.642 | Logit Bias: -11.547 | Lambda Scalar: 0.000 | Total_loss: -0.20055 (-0.20988) Joint_loss: 21.778 (21.979) Cross_loss: 2.0124 (2.0104) Image_lambda_loss: 5.9883e-07 (1.4720e-05) Text_lambda_loss: 1.2616e-05 (3.0933e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:37:58 | INFO | Train Epoch: 12 [7565980/9193800 (82%)] Step: 29.6K | Data (t): 0.212 Batch (t): 1.135, 3743.10/s, 1871.55/s/gpu Logit Scale: 66.863 | Logit Bias: -11.551 | Lambda Scalar: 0.000 | Total_loss: -0.19869 (-0.20932) Joint_loss: 21.611 (21.961) Cross_loss: 1.9249 (2.0061) Image_lambda_loss: 5.9852e-07 (1.4014e-05) Text_lambda_loss: 5.0549e-06 (3.1914e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:39:51 | INFO | Train Epoch: 12 [7963980/9193800 (87%)] Step: 29.7K | Data (t): 0.202 Batch (t): 1.129, 3591.19/s, 1795.59/s/gpu Logit Scale: 67.084 | Logit Bias: -11.554 | Lambda Scalar: 0.000 | Total_loss: -0.19501 (-0.20864) Joint_loss: 21.392 (21.934) Cross_loss: 1.9069 (2.0014) Image_lambda_loss: 7.9293e-07 (1.3385e-05) Text_lambda_loss: 9.4052e-07 (3.0842e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:41:45 | INFO | Train Epoch: 12 [8361980/9193800 (91%)] Step: 29.8K | Data (t): 0.140 Batch (t): 1.146, 3527.98/s, 1763.99/s/gpu Logit Scale: 67.306 | Logit Bias: -11.557 | Lambda Scalar: 0.000 | Total_loss: -0.20958 (-0.20869) Joint_loss: 22.500 (21.960) Cross_loss: 1.9984 (2.0013) Image_lambda_loss: 1.5464e-05 (1.3479e-05) Text_lambda_loss: 6.4171e-06 (3.2357e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:43:38 | INFO | Train Epoch: 12 [8759980/9193800 (95%)] Step: 29.9K | Data (t): 0.101 Batch (t): 1.130, 4345.70/s, 2172.85/s/gpu Logit Scale: 67.528 | Logit Bias: -11.561 | Lambda Scalar: 0.000 | Total_loss: -0.21361 (-0.20890) Joint_loss: 22.788 (21.996) Cross_loss: 1.9695 (1.9999) Image_lambda_loss: 1.4553e-06 (1.2956e-05) Text_lambda_loss: 1.0573e-05 (3.5547e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:45:32 | INFO | Train Epoch: 12 [9157980/9193800 (100%)] Step: 30.0K | Data (t): 0.121 Batch (t): 1.132, 2352.71/s, 1176.36/s/gpu Logit Scale: 67.751 | Logit Bias: -11.564 | Lambda Scalar: 0.000 | Total_loss: -0.20764 (-0.20885) Joint_loss: 22.321 (22.009) Cross_loss: 1.8562 (1.9939) Image_lambda_loss: 7.0430e-07 (1.2446e-05) Text_lambda_loss: 3.4583e-05 (4.8476e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:45:42 | INFO | Train Epoch: 12 [9193800/9193800 (100%)] Step: 30.0K | Data (t): 0.185 Batch (t): 1.171, 3602.85/s, 1801.43/s/gpu Logit Scale: 67.771 | Logit Bias: -11.564 | Lambda Scalar: 0.000 | Total_loss: -0.21017 (-0.20890) Joint_loss: 22.611 (22.033) Cross_loss: 1.9713 (1.9930) Image_lambda_loss: 3.2497e-05 (1.3248e-05) Text_lambda_loss: 4.8290e-06 (4.8469e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.682842712474619 | | |
| 2025-01-24,13:45:42 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,13:45:42 | INFO | Building zero-shot classifier | |
| 2025-01-24,13:45:49 | INFO | Using classifier | |
| 2025-01-24,13:46:50 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,13:46:58 | INFO | Eval Epoch: 13 [1990 / 205824] Clip Loss: 1.848343 | |
| 2025-01-24,13:47:29 | INFO | Eval Epoch: 13 imagenet-zeroshot-val-top1: 0.2100 imagenet-zeroshot-val-top5: 0.4365 image_to_text_mean_rank: 45.9366 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4351 image_to_text_R@5: 0.6612 image_to_text_R@10: 0.7398 text_to_image_mean_rank: 54.7615 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4337 text_to_image_R@5: 0.6550 text_to_image_R@10: 0.7393 clip_val_loss: 1.7424 epoch: 13.0000 num_samples: 8678.0000 | |
| 2025-01-24,13:47:31 | INFO | Start epoch 13 | |
| 2025-01-24,13:47:41 | INFO | Train Epoch: 13 [ 3980/9193800 (0%)] Step: 30.0K | Data (t): 8.413 Batch (t): 9.258, 429.882/s, 214.941/s/gpu Logit Scale: 67.774 | Logit Bias: -11.564 | Lambda Scalar: 0.000 | Total_loss: -0.20998 (-0.20998) Joint_loss: 22.700 (22.700) Cross_loss: 2.0737 (2.0737) Image_lambda_loss: 1.1661e-05 (1.1661e-05) Text_lambda_loss: 3.1522e-06 (3.1522e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,13:49:35 | INFO | Train Epoch: 13 [ 401980/9193800 (4%)] Step: 30.1K | Data (t): 0.122 Batch (t): 1.144, 3530.64/s, 1765.32/s/gpu Logit Scale: 67.998 | Logit Bias: -11.568 | Lambda Scalar: 0.000 | Total_loss: -0.22003 (-0.21500) Joint_loss: 23.328 (23.014) Cross_loss: 1.9760 (2.0248) Image_lambda_loss: 1.1730e-06 (6.4172e-06) Text_lambda_loss: 2.0237e-05 (1.1694e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,13:51:28 | INFO | Train Epoch: 13 [ 799980/9193800 (9%)] Step: 30.2K | Data (t): 0.122 Batch (t): 1.135, 3734.95/s, 1867.47/s/gpu Logit Scale: 68.222 | Logit Bias: -11.571 | Lambda Scalar: 0.000 | Total_loss: -0.19979 (-0.20993) Joint_loss: 21.956 (22.661) Cross_loss: 1.9252 (1.9916) Image_lambda_loss: 2.2874e-06 (5.0406e-06) Text_lambda_loss: 1.6038e-05 (1.3142e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,13:53:23 | INFO | Train Epoch: 13 [1197980/9193800 (13%)] Step: 30.3K | Data (t): 0.121 Batch (t): 1.141, 3486.52/s, 1743.26/s/gpu Logit Scale: 68.447 | Logit Bias: -11.574 | Lambda Scalar: 0.000 | Total_loss: -0.21280 (-0.21065) Joint_loss: 22.965 (22.737) Cross_loss: 2.0050 (1.9950) Image_lambda_loss: 1.9921e-06 (4.2785e-06) Text_lambda_loss: 7.5758e-07 (1.0046e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,13:55:15 | INFO | Train Epoch: 13 [1595980/9193800 (17%)] Step: 30.4K | Data (t): 0.141 Batch (t): 1.127, 3474.40/s, 1737.20/s/gpu Logit Scale: 68.673 | Logit Bias: -11.578 | Lambda Scalar: 0.000 | Total_loss: -0.20388 (-0.20929) Joint_loss: 22.585 (22.707) Cross_loss: 2.1851 (2.0330) Image_lambda_loss: 7.0129e-07 (3.5630e-06) Text_lambda_loss: 1.5731e-06 (8.3515e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,13:57:08 | INFO | Train Epoch: 13 [1993980/9193800 (22%)] Step: 30.5K | Data (t): 0.149 Batch (t): 1.131, 3686.37/s, 1843.18/s/gpu Logit Scale: 68.900 | Logit Bias: -11.581 | Lambda Scalar: 0.000 | Total_loss: -0.20942 (-0.20931) Joint_loss: 22.808 (22.724) Cross_loss: 1.9832 (2.0247) Image_lambda_loss: 2.8752e-06 (3.4484e-06) Text_lambda_loss: 2.1738e-07 (6.9958e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,13:59:03 | INFO | Train Epoch: 13 [2391980/9193800 (26%)] Step: 30.6K | Data (t): 0.150 Batch (t): 1.141, 3730.87/s, 1865.44/s/gpu Logit Scale: 69.127 | Logit Bias: -11.584 | Lambda Scalar: 0.000 | Total_loss: -0.19712 (-0.20757) Joint_loss: 21.821 (22.595) Cross_loss: 1.7930 (1.9916) Image_lambda_loss: 1.2420e-06 (3.1332e-06) Text_lambda_loss: 0.00010062 (2.0371e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:00:56 | INFO | Train Epoch: 13 [2789980/9193800 (30%)] Step: 30.7K | Data (t): 0.137 Batch (t): 1.136, 3732.03/s, 1866.02/s/gpu Logit Scale: 69.354 | Logit Bias: -11.588 | Lambda Scalar: 0.000 | Total_loss: -0.20006 (-0.20663) Joint_loss: 22.355 (22.565) Cross_loss: 2.0792 (2.0026) Image_lambda_loss: 6.3703e-07 (2.8212e-06) Text_lambda_loss: 2.9371e-07 (1.7861e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:02:50 | INFO | Train Epoch: 13 [3187980/9193800 (35%)] Step: 30.8K | Data (t): 0.160 Batch (t): 1.138, 3723.28/s, 1861.64/s/gpu Logit Scale: 69.582 | Logit Bias: -11.591 | Lambda Scalar: 0.000 | Total_loss: -0.21123 (-0.20714) Joint_loss: 23.233 (22.639) Cross_loss: 2.1402 (2.0178) Image_lambda_loss: 6.5990e-07 (2.5810e-06) Text_lambda_loss: 2.1541e-07 (1.5901e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:04:44 | INFO | Train Epoch: 13 [3585980/9193800 (39%)] Step: 30.9K | Data (t): 0.173 Batch (t): 1.137, 3565.36/s, 1782.68/s/gpu Logit Scale: 69.812 | Logit Bias: -11.594 | Lambda Scalar: 0.000 | Total_loss: -0.19021 (-0.20545) Joint_loss: 22.361 (22.611) Cross_loss: 2.6771 (2.0838) Image_lambda_loss: 6.2857e-07 (2.3858e-06) Text_lambda_loss: 1.2924e-05 (1.5603e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:06:38 | INFO | Train Epoch: 13 [3983980/9193800 (43%)] Step: 31.0K | Data (t): 0.192 Batch (t): 1.141, 3638.70/s, 1819.35/s/gpu Logit Scale: 70.041 | Logit Bias: -11.598 | Lambda Scalar: 0.000 | Total_loss: -0.19803 (-0.20477) Joint_loss: 22.189 (22.573) Cross_loss: 1.9172 (2.0686) Image_lambda_loss: 4.3629e-07 (2.2086e-06) Text_lambda_loss: 2.6591e-07 (1.4209e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:08:30 | INFO | Train Epoch: 13 [4381980/9193800 (48%)] Step: 31.1K | Data (t): 0.190 Batch (t): 1.123, 3697.78/s, 1848.89/s/gpu Logit Scale: 70.272 | Logit Bias: -11.601 | Lambda Scalar: 0.000 | Total_loss: -0.20762 (-0.20501) Joint_loss: 23.024 (22.610) Cross_loss: 2.0372 (2.0660) Image_lambda_loss: 7.5499e-07 (2.0874e-06) Text_lambda_loss: 2.4647e-07 (1.3045e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:10:23 | INFO | Train Epoch: 13 [4779980/9193800 (52%)] Step: 31.2K | Data (t): 0.180 Batch (t): 1.126, 3532.51/s, 1766.25/s/gpu Logit Scale: 70.505 | Logit Bias: -11.604 | Lambda Scalar: 0.000 | Total_loss: -0.19948 (-0.20459) Joint_loss: 22.473 (22.600) Cross_loss: 2.0070 (2.0615) Image_lambda_loss: 1.7635e-05 (3.2834e-06) Text_lambda_loss: 3.5604e-05 (1.4781e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:12:17 | INFO | Train Epoch: 13 [5177980/9193800 (56%)] Step: 31.3K | Data (t): 0.166 Batch (t): 1.138, 3722.28/s, 1861.14/s/gpu Logit Scale: 70.737 | Logit Bias: -11.608 | Lambda Scalar: 0.000 | Total_loss: -0.19433 (-0.20385) Joint_loss: 22.065 (22.562) Cross_loss: 1.9149 (2.0510) Image_lambda_loss: 5.5596e-07 (3.0886e-06) Text_lambda_loss: 1.9024e-05 (1.5084e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:14:11 | INFO | Train Epoch: 13 [5575980/9193800 (61%)] Step: 31.4K | Data (t): 0.189 Batch (t): 1.141, 2882.93/s, 1441.46/s/gpu Logit Scale: 70.971 | Logit Bias: -11.611 | Lambda Scalar: 0.000 | Total_loss: -0.19684 (-0.20339) Joint_loss: 22.304 (22.544) Cross_loss: 1.9321 (2.0431) Image_lambda_loss: 6.0534e-07 (2.9230e-06) Text_lambda_loss: 3.5327e-07 (1.4102e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:16:05 | INFO | Train Epoch: 13 [5973980/9193800 (65%)] Step: 31.5K | Data (t): 0.182 Batch (t): 1.140, 3239.54/s, 1619.77/s/gpu Logit Scale: 71.205 | Logit Bias: -11.614 | Lambda Scalar: 0.000 | Total_loss: -0.19305 (-0.20274) Joint_loss: 22.395 (22.535) Cross_loss: 2.2447 (2.0557) Image_lambda_loss: 7.9714e-07 (2.7901e-06) Text_lambda_loss: 5.5033e-07 (1.3255e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:17:58 | INFO | Train Epoch: 13 [6371980/9193800 (69%)] Step: 31.6K | Data (t): 0.187 Batch (t): 1.138, 3702.66/s, 1851.33/s/gpu Logit Scale: 71.440 | Logit Bias: -11.618 | Lambda Scalar: 0.000 | Total_loss: -0.19411 (-0.20223) Joint_loss: 22.244 (22.518) Cross_loss: 1.9724 (2.0508) Image_lambda_loss: 1.2835e-06 (2.7015e-06) Text_lambda_loss: 3.1973e-07 (1.2494e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:19:52 | INFO | Train Epoch: 13 [6769980/9193800 (74%)] Step: 31.7K | Data (t): 0.184 Batch (t): 1.138, 3364.67/s, 1682.33/s/gpu Logit Scale: 71.677 | Logit Bias: -11.621 | Lambda Scalar: 0.000 | Total_loss: -0.19105 (-0.20161) Joint_loss: 22.017 (22.490) Cross_loss: 1.9185 (2.0434) Image_lambda_loss: 1.0591e-06 (2.6103e-06) Text_lambda_loss: 1.0998e-05 (1.2411e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:21:46 | INFO | Train Epoch: 13 [7167980/9193800 (78%)] Step: 31.8K | Data (t): 0.176 Batch (t): 1.135, 3694.00/s, 1847.00/s/gpu Logit Scale: 71.914 | Logit Bias: -11.624 | Lambda Scalar: 0.000 | Total_loss: -0.19538 (-0.20128) Joint_loss: 22.400 (22.485) Cross_loss: 1.9459 (2.0383) Image_lambda_loss: 1.4806e-05 (3.2522e-06) Text_lambda_loss: 2.8555e-07 (1.1773e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:23:40 | INFO | Train Epoch: 13 [7565980/9193800 (82%)] Step: 31.9K | Data (t): 0.178 Batch (t): 1.143, 3777.13/s, 1888.57/s/gpu Logit Scale: 72.152 | Logit Bias: -11.628 | Lambda Scalar: 0.000 | Total_loss: -0.19348 (-0.20089) Joint_loss: 22.420 (22.482) Cross_loss: 2.0560 (2.0392) Image_lambda_loss: 9.0970e-06 (3.5444e-06) Text_lambda_loss: 5.6977e-06 (1.1469e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:25:34 | INFO | Train Epoch: 13 [7963980/9193800 (87%)] Step: 32.0K | Data (t): 0.209 Batch (t): 1.142, 3707.21/s, 1853.60/s/gpu Logit Scale: 72.390 | Logit Bias: -11.631 | Lambda Scalar: 0.000 | Total_loss: -0.19188 (-0.20046) Joint_loss: 22.357 (22.476) Cross_loss: 2.0624 (2.0403) Image_lambda_loss: 4.3841e-06 (3.5844e-06) Text_lambda_loss: 6.8762e-07 (1.0955e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:27:31 | INFO | Train Epoch: 13 [8361980/9193800 (91%)] Step: 32.1K | Data (t): 0.082 Batch (t): 1.164, 2455.04/s, 1227.52/s/gpu Logit Scale: 72.629 | Logit Bias: -11.634 | Lambda Scalar: 0.000 | Total_loss: -0.19867 (-0.20038) Joint_loss: 22.820 (22.492) Cross_loss: 1.9898 (2.0380) Image_lambda_loss: 7.7933e-07 (3.4569e-06) Text_lambda_loss: 1.6521e-06 (1.0532e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:29:24 | INFO | Train Epoch: 13 [8759980/9193800 (95%)] Step: 32.2K | Data (t): 0.079 Batch (t): 1.136, 3727.11/s, 1863.55/s/gpu Logit Scale: 72.869 | Logit Bias: -11.638 | Lambda Scalar: 0.000 | Total_loss: -0.20136 (-0.20043) Joint_loss: 22.876 (22.509) Cross_loss: 1.8028 (2.0278) Image_lambda_loss: 8.4082e-07 (3.3431e-06) Text_lambda_loss: 3.9201e-07 (1.0092e-05) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:31:18 | INFO | Train Epoch: 13 [9157980/9193800 (100%)] Step: 32.3K | Data (t): 0.089 Batch (t): 1.140, 3665.06/s, 1832.53/s/gpu Logit Scale: 73.108 | Logit Bias: -11.641 | Lambda Scalar: 0.000 | Total_loss: -0.20525 (-0.20063) Joint_loss: 23.375 (22.545) Cross_loss: 1.9719 (2.0254) Image_lambda_loss: 7.1540e-07 (3.2337e-06) Text_lambda_loss: 3.9759e-07 (9.6877e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:31:28 | INFO | Train Epoch: 13 [9193800/9193800 (100%)] Step: 32.3K | Data (t): 0.125 Batch (t): 1.138, 3785.79/s, 1892.90/s/gpu Logit Scale: 73.130 | Logit Bias: -11.641 | Lambda Scalar: 0.000 | Total_loss: -0.19710 (-0.20049) Joint_loss: 22.873 (22.558) Cross_loss: 2.0572 (2.0267) Image_lambda_loss: 2.4958e-06 (3.2041e-06) Text_lambda_loss: 3.5425e-07 (9.3144e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7325878449210181 | | |
| 2025-01-24,14:31:28 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,14:31:28 | INFO | Building zero-shot classifier | |
| 2025-01-24,14:31:35 | INFO | Using classifier | |
| 2025-01-24,14:32:38 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,14:32:45 | INFO | Eval Epoch: 14 [1990 / 205824] Clip Loss: 1.882221 | |
| 2025-01-24,14:33:17 | INFO | Eval Epoch: 14 imagenet-zeroshot-val-top1: 0.2156 imagenet-zeroshot-val-top5: 0.4372 image_to_text_mean_rank: 50.3248 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4268 image_to_text_R@5: 0.6614 image_to_text_R@10: 0.7411 text_to_image_mean_rank: 58.2057 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4288 text_to_image_R@5: 0.6610 text_to_image_R@10: 0.7381 clip_val_loss: 1.7543 epoch: 14.0000 num_samples: 8678.0000 | |
| 2025-01-24,14:33:19 | INFO | Start epoch 14 | |
| 2025-01-24,14:33:28 | INFO | Train Epoch: 14 [ 3980/9193800 (0%)] Step: 32.3K | Data (t): 8.566 Batch (t): 9.422, 422.418/s, 211.209/s/gpu Logit Scale: 73.133 | Logit Bias: -11.641 | Lambda Scalar: 0.000 | Total_loss: -0.19915 (-0.19915) Joint_loss: 22.863 (22.863) Cross_loss: 1.8982 (1.8982) Image_lambda_loss: 2.9752e-07 (2.9752e-07) Text_lambda_loss: 9.9436e-08 (9.9436e-08) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:35:23 | INFO | Train Epoch: 14 [ 401980/9193800 (4%)] Step: 32.4K | Data (t): 0.107 Batch (t): 1.143, 3766.16/s, 1883.08/s/gpu Logit Scale: 73.375 | Logit Bias: -11.645 | Lambda Scalar: 0.000 | Total_loss: -0.20910 (-0.20412) Joint_loss: 23.774 (23.319) Cross_loss: 2.0354 (1.9668) Image_lambda_loss: 3.3428e-07 (3.1590e-07) Text_lambda_loss: 1.7499e-05 (8.7993e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:37:16 | INFO | Train Epoch: 14 [ 799980/9193800 (9%)] Step: 32.5K | Data (t): 0.129 Batch (t): 1.138, 3822.88/s, 1911.44/s/gpu Logit Scale: 73.617 | Logit Bias: -11.648 | Lambda Scalar: 0.000 | Total_loss: -0.19913 (-0.20246) Joint_loss: 22.932 (23.190) Cross_loss: 1.8716 (1.9351) Image_lambda_loss: 3.2490e-07 (3.1890e-07) Text_lambda_loss: 7.4746e-07 (6.1154e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:39:10 | INFO | Train Epoch: 14 [1197980/9193800 (13%)] Step: 32.6K | Data (t): 0.122 Batch (t): 1.133, 2844.87/s, 1422.43/s/gpu Logit Scale: 73.859 | Logit Bias: -11.651 | Lambda Scalar: 0.000 | Total_loss: -0.19846 (-0.20146) Joint_loss: 23.111 (23.170) Cross_loss: 2.0508 (1.9640) Image_lambda_loss: 9.4775e-07 (4.7611e-07) Text_lambda_loss: 3.6477e-07 (4.6777e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:41:03 | INFO | Train Epoch: 14 [1595980/9193800 (17%)] Step: 32.7K | Data (t): 0.124 Batch (t): 1.134, 3390.07/s, 1695.03/s/gpu Logit Scale: 74.103 | Logit Bias: -11.655 | Lambda Scalar: 0.000 | Total_loss: -0.19442 (-0.20005) Joint_loss: 22.686 (23.073) Cross_loss: 1.8755 (1.9463) Image_lambda_loss: 4.8069e-07 (4.7703e-07) Text_lambda_loss: 1.3597e-06 (4.0141e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:42:56 | INFO | Train Epoch: 14 [1993980/9193800 (22%)] Step: 32.8K | Data (t): 0.153 Batch (t): 1.130, 3711.05/s, 1855.52/s/gpu Logit Scale: 74.346 | Logit Bias: -11.658 | Lambda Scalar: 0.000 | Total_loss: -0.19496 (-0.19920) Joint_loss: 22.944 (23.052) Cross_loss: 2.0457 (1.9629) Image_lambda_loss: 1.9574e-06 (7.2375e-07) Text_lambda_loss: 8.1272e-07 (3.4805e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:44:50 | INFO | Train Epoch: 14 [2391980/9193800 (26%)] Step: 32.9K | Data (t): 0.162 Batch (t): 1.136, 3743.08/s, 1871.54/s/gpu Logit Scale: 74.591 | Logit Bias: -11.661 | Lambda Scalar: 0.000 | Total_loss: -0.19704 (-0.19890) Joint_loss: 23.121 (23.062) Cross_loss: 2.0209 (1.9712) Image_lambda_loss: 5.2275e-07 (6.9504e-07) Text_lambda_loss: 1.7707e-07 (3.0086e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:46:42 | INFO | Train Epoch: 14 [2789980/9193800 (30%)] Step: 33.0K | Data (t): 0.153 Batch (t): 1.129, 3799.45/s, 1899.72/s/gpu Logit Scale: 74.837 | Logit Bias: -11.665 | Lambda Scalar: 0.000 | Total_loss: -0.18881 (-0.19764) Joint_loss: 22.429 (22.982) Cross_loss: 1.8923 (1.9613) Image_lambda_loss: 1.8975e-05 (2.9801e-06) Text_lambda_loss: 1.1191e-05 (4.0314e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:48:36 | INFO | Train Epoch: 14 [3187980/9193800 (35%)] Step: 33.1K | Data (t): 0.191 Batch (t): 1.133, 3616.81/s, 1808.40/s/gpu Logit Scale: 75.084 | Logit Bias: -11.668 | Lambda Scalar: 0.000 | Total_loss: -0.18984 (-0.19677) Joint_loss: 22.643 (22.945) Cross_loss: 1.9840 (1.9638) Image_lambda_loss: 8.9220e-07 (2.7481e-06) Text_lambda_loss: 5.3633e-06 (4.1794e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:50:29 | INFO | Train Epoch: 14 [3585980/9193800 (39%)] Step: 33.2K | Data (t): 0.198 Batch (t): 1.137, 2552.05/s, 1276.02/s/gpu Logit Scale: 75.332 | Logit Bias: -11.671 | Lambda Scalar: 0.000 | Total_loss: -0.19138 (-0.19623) Joint_loss: 22.941 (22.944) Cross_loss: 2.1195 (1.9794) Image_lambda_loss: 8.5401e-06 (3.3273e-06) Text_lambda_loss: 5.0797e-06 (4.2694e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:52:23 | INFO | Train Epoch: 14 [3983980/9193800 (43%)] Step: 33.3K | Data (t): 0.187 Batch (t): 1.133, 3758.74/s, 1879.37/s/gpu Logit Scale: 75.580 | Logit Bias: -11.675 | Lambda Scalar: 0.000 | Total_loss: -0.18827 (-0.19551) Joint_loss: 22.750 (22.927) Cross_loss: 2.1140 (1.9916) Image_lambda_loss: 5.9222e-07 (3.0786e-06) Text_lambda_loss: 2.0455e-07 (3.8999e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:54:15 | INFO | Train Epoch: 14 [4381980/9193800 (48%)] Step: 33.4K | Data (t): 0.178 Batch (t): 1.124, 3658.09/s, 1829.05/s/gpu Logit Scale: 75.829 | Logit Bias: -11.678 | Lambda Scalar: 0.000 | Total_loss: -0.18518 (-0.19465) Joint_loss: 22.564 (22.896) Cross_loss: 2.1140 (2.0018) Image_lambda_loss: 4.6766e-07 (2.8611e-06) Text_lambda_loss: 1.1606e-06 (3.6716e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:56:09 | INFO | Train Epoch: 14 [4779980/9193800 (52%)] Step: 33.5K | Data (t): 0.176 Batch (t): 1.134, 3577.11/s, 1788.56/s/gpu Logit Scale: 76.077 | Logit Bias: -11.681 | Lambda Scalar: 0.000 | Total_loss: -0.18696 (-0.19405) Joint_loss: 22.595 (22.873) Cross_loss: 1.9654 (1.9990) Image_lambda_loss: 5.2913e-06 (3.0480e-06) Text_lambda_loss: 1.8374e-07 (3.4033e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:58:03 | INFO | Train Epoch: 14 [5177980/9193800 (56%)] Step: 33.6K | Data (t): 0.184 Batch (t): 1.141, 3786.70/s, 1893.35/s/gpu Logit Scale: 76.329 | Logit Bias: -11.685 | Lambda Scalar: 0.000 | Total_loss: -0.18699 (-0.19355) Joint_loss: 22.855 (22.872) Cross_loss: 2.1755 (2.0116) Image_lambda_loss: 1.2129e-06 (2.9169e-06) Text_lambda_loss: 6.3312e-06 (3.6125e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,14:59:59 | INFO | Train Epoch: 14 [5575980/9193800 (61%)] Step: 33.7K | Data (t): 0.213 Batch (t): 1.159, 3580.82/s, 1790.41/s/gpu Logit Scale: 76.580 | Logit Bias: -11.688 | Lambda Scalar: 0.000 | Total_loss: -0.18955 (-0.19328) Joint_loss: 22.884 (22.873) Cross_loss: 1.9619 (2.0083) Image_lambda_loss: 1.3717e-06 (2.8139e-06) Text_lambda_loss: 1.4370e-05 (4.3296e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,15:01:53 | INFO | Train Epoch: 14 [5973980/9193800 (65%)] Step: 33.8K | Data (t): 0.188 Batch (t): 1.145, 2929.53/s, 1464.76/s/gpu Logit Scale: 76.833 | Logit Bias: -11.691 | Lambda Scalar: 0.000 | Total_loss: -0.18617 (-0.19284) Joint_loss: 22.859 (22.872) Cross_loss: 2.1479 (2.0170) Image_lambda_loss: 6.3555e-07 (2.6778e-06) Text_lambda_loss: 2.1646e-07 (4.0725e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,15:03:46 | INFO | Train Epoch: 14 [6371980/9193800 (69%)] Step: 33.9K | Data (t): 0.181 Batch (t): 1.128, 3499.41/s, 1749.71/s/gpu Logit Scale: 77.087 | Logit Bias: -11.695 | Lambda Scalar: 0.000 | Total_loss: -0.18177 (-0.19219) Joint_loss: 22.287 (22.838) Cross_loss: 1.8655 (2.0081) Image_lambda_loss: 1.9869e-05 (3.6890e-06) Text_lambda_loss: 2.1693e-07 (3.8457e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,15:05:40 | INFO | Train Epoch: 14 [6769980/9193800 (74%)] Step: 34.0K | Data (t): 0.188 Batch (t): 1.144, 3688.96/s, 1844.48/s/gpu Logit Scale: 77.342 | Logit Bias: -11.698 | Lambda Scalar: 0.000 | Total_loss: -0.18199 (-0.19162) Joint_loss: 22.561 (22.822) Cross_loss: 2.0759 (2.0119) Image_lambda_loss: 3.8717e-05 (5.6350e-06) Text_lambda_loss: 8.1922e-06 (4.0872e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,15:07:36 | INFO | Train Epoch: 14 [7167980/9193800 (78%)] Step: 34.1K | Data (t): 0.198 Batch (t): 1.153, 3477.83/s, 1738.91/s/gpu Logit Scale: 77.598 | Logit Bias: -11.701 | Lambda Scalar: 0.000 | Total_loss: -0.18310 (-0.19117) Joint_loss: 22.607 (22.811) Cross_loss: 1.9898 (2.0107) Image_lambda_loss: 1.5696e-06 (5.4210e-06) Text_lambda_loss: 1.6637e-05 (4.7477e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,15:09:32 | INFO | Train Epoch: 14 [7565980/9193800 (82%)] Step: 34.2K | Data (t): 0.225 Batch (t): 1.163, 3632.17/s, 1816.09/s/gpu Logit Scale: 77.855 | Logit Bias: -11.705 | Lambda Scalar: 0.000 | Total_loss: -0.18747 (-0.19099) Joint_loss: 22.937 (22.817) Cross_loss: 1.9344 (2.0069) Image_lambda_loss: 8.0981e-07 (5.1904e-06) Text_lambda_loss: 3.5546e-07 (4.5281e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,15:11:26 | INFO | Train Epoch: 14 [7963980/9193800 (87%)] Step: 34.3K | Data (t): 0.206 Batch (t): 1.140, 3608.01/s, 1804.00/s/gpu Logit Scale: 78.113 | Logit Bias: -11.708 | Lambda Scalar: 0.000 | Total_loss: -0.18418 (-0.19066) Joint_loss: 22.894 (22.821) Cross_loss: 2.0980 (2.0113) Image_lambda_loss: 5.1288e-06 (5.1875e-06) Text_lambda_loss: 9.0939e-07 (4.3558e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,15:13:24 | INFO | Train Epoch: 14 [8361980/9193800 (91%)] Step: 34.4K | Data (t): 0.228 Batch (t): 1.183, 3752.06/s, 1876.03/s/gpu Logit Scale: 78.372 | Logit Bias: -11.711 | Lambda Scalar: 0.000 | Total_loss: -0.19369 (-0.19080) Joint_loss: 23.574 (22.855) Cross_loss: 1.9902 (2.0103) Image_lambda_loss: 6.4992e-07 (4.9813e-06) Text_lambda_loss: 2.2867e-06 (4.2617e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,15:15:22 | INFO | Train Epoch: 14 [8759980/9193800 (95%)] Step: 34.5K | Data (t): 0.229 Batch (t): 1.174, 3559.97/s, 1779.99/s/gpu Logit Scale: 78.627 | Logit Bias: -11.715 | Lambda Scalar: 0.000 | Total_loss: -0.19632 (-0.19104) Joint_loss: 23.796 (22.896) Cross_loss: 1.9573 (2.0080) Image_lambda_loss: 1.1302e-06 (4.8138e-06) Text_lambda_loss: 2.5743e-07 (4.0876e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,15:17:25 | INFO | Train Epoch: 14 [9157980/9193800 (100%)] Step: 34.6K | Data (t): 0.201 Batch (t): 1.236, 3687.84/s, 1843.92/s/gpu Logit Scale: 78.887 | Logit Bias: -11.718 | Lambda Scalar: 0.000 | Total_loss: -0.19192 (-0.19108) Joint_loss: 23.469 (22.920) Cross_loss: 1.9246 (2.0045) Image_lambda_loss: 5.4733e-07 (4.6361e-06) Text_lambda_loss: 1.0385e-06 (3.9606e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,15:17:38 | INFO | Train Epoch: 14 [9193800/9193800 (100%)] Step: 34.6K | Data (t): 0.188 Batch (t): 1.395, 3863.99/s, 1932.00/s/gpu Logit Scale: 78.910 | Logit Bias: -11.718 | Lambda Scalar: 0.000 | Total_loss: -0.18934 (-0.19101) Joint_loss: 23.322 (22.936) Cross_loss: 1.9753 (2.0033) Image_lambda_loss: 5.3552e-07 (4.4720e-06) Text_lambda_loss: 8.4482e-07 (3.8359e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7695518130045147 | | |
| 2025-01-24,15:17:38 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,15:17:38 | INFO | Building zero-shot classifier | |
| 2025-01-24,15:17:45 | INFO | Using classifier | |
| 2025-01-24,15:18:50 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,15:18:57 | INFO | Eval Epoch: 15 [1990 / 205824] Clip Loss: 1.864499 | |
| 2025-01-24,15:19:28 | INFO | Eval Epoch: 15 imagenet-zeroshot-val-top1: 0.2175 imagenet-zeroshot-val-top5: 0.4470 image_to_text_mean_rank: 47.6546 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4398 image_to_text_R@5: 0.6677 image_to_text_R@10: 0.7469 text_to_image_mean_rank: 54.8516 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4356 text_to_image_R@5: 0.6705 text_to_image_R@10: 0.7464 clip_val_loss: 1.7112 epoch: 15.0000 num_samples: 8678.0000 | |
| 2025-01-24,15:19:31 | INFO | Start epoch 15 | |
| 2025-01-24,15:19:40 | INFO | Train Epoch: 15 [ 3980/9193800 (0%)] Step: 34.6K | Data (t): 8.512 Batch (t): 9.375, 424.554/s, 212.277/s/gpu Logit Scale: 78.913 | Logit Bias: -11.718 | Lambda Scalar: 0.000 | Total_loss: -0.21042 (-0.21042) Joint_loss: 25.006 (25.006) Cross_loss: 2.0057 (2.0057) Image_lambda_loss: 2.0693e-07 (2.0693e-07) Text_lambda_loss: 1.4137e-07 (1.4137e-07) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:21:41 | INFO | Train Epoch: 15 [ 401980/9193800 (4%)] Step: 34.8K | Data (t): 0.154 Batch (t): 1.209, 3868.63/s, 1934.31/s/gpu Logit Scale: 79.173 | Logit Bias: -11.722 | Lambda Scalar: 0.000 | Total_loss: -0.18782 (-0.19912) Joint_loss: 23.178 (24.092) Cross_loss: 1.9011 (1.9534) Image_lambda_loss: 2.7819e-07 (2.4256e-07) Text_lambda_loss: 2.4078e-06 (1.2746e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:23:40 | INFO | Train Epoch: 15 [ 799980/9193800 (9%)] Step: 34.9K | Data (t): 0.193 Batch (t): 1.187, 3786.78/s, 1893.39/s/gpu Logit Scale: 79.435 | Logit Bias: -11.725 | Lambda Scalar: 0.000 | Total_loss: -0.19981 (-0.19935) Joint_loss: 24.322 (24.168) Cross_loss: 2.0487 (1.9852) Image_lambda_loss: 1.1894e-06 (5.5818e-07) Text_lambda_loss: 2.1339e-06 (1.5610e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:25:35 | INFO | Train Epoch: 15 [1197980/9193800 (13%)] Step: 35.0K | Data (t): 0.200 Batch (t): 1.150, 2429.41/s, 1214.71/s/gpu Logit Scale: 79.698 | Logit Bias: -11.728 | Lambda Scalar: 0.000 | Total_loss: -0.18871 (-0.19669) Joint_loss: 23.317 (23.956) Cross_loss: 1.8714 (1.9567) Image_lambda_loss: 1.0390e-06 (6.7838e-07) Text_lambda_loss: 2.6134e-07 (1.2361e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:27:29 | INFO | Train Epoch: 15 [1595980/9193800 (17%)] Step: 35.0K | Data (t): 0.200 Batch (t): 1.138, 3702.86/s, 1851.43/s/gpu Logit Scale: 79.961 | Logit Bias: -11.732 | Lambda Scalar: 0.000 | Total_loss: -0.19127 (-0.19561) Joint_loss: 23.752 (23.915) Cross_loss: 2.0525 (1.9759) Image_lambda_loss: 1.4173e-06 (8.2617e-07) Text_lambda_loss: 9.2938e-07 (1.1748e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:29:22 | INFO | Train Epoch: 15 [1993980/9193800 (22%)] Step: 35.1K | Data (t): 0.191 Batch (t): 1.137, 3694.68/s, 1847.34/s/gpu Logit Scale: 80.226 | Logit Bias: -11.735 | Lambda Scalar: 0.000 | Total_loss: -0.18776 (-0.19430) Joint_loss: 23.413 (23.831) Cross_loss: 1.9430 (1.9704) Image_lambda_loss: 6.3547e-07 (7.9439e-07) Text_lambda_loss: 1.2697e-07 (1.0001e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:31:15 | INFO | Train Epoch: 15 [2391980/9193800 (26%)] Step: 35.2K | Data (t): 0.195 Batch (t): 1.130, 3204.82/s, 1602.41/s/gpu Logit Scale: 80.490 | Logit Bias: -11.738 | Lambda Scalar: 0.000 | Total_loss: -0.18345 (-0.19275) Joint_loss: 23.200 (23.741) Cross_loss: 2.0253 (1.9782) Image_lambda_loss: 4.7292e-07 (7.4846e-07) Text_lambda_loss: 9.7965e-06 (2.2567e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:33:08 | INFO | Train Epoch: 15 [2789980/9193800 (30%)] Step: 35.4K | Data (t): 0.197 Batch (t): 1.129, 3606.06/s, 1803.03/s/gpu Logit Scale: 80.756 | Logit Bias: -11.742 | Lambda Scalar: 0.000 | Total_loss: -0.17829 (-0.19094) Joint_loss: 22.647 (23.604) Cross_loss: 1.8379 (1.9607) Image_lambda_loss: 1.1268e-06 (7.9576e-07) Text_lambda_loss: 1.6903e-06 (2.1859e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:35:02 | INFO | Train Epoch: 15 [3187980/9193800 (35%)] Step: 35.5K | Data (t): 0.195 Batch (t): 1.135, 3356.42/s, 1678.21/s/gpu Logit Scale: 81.023 | Logit Bias: -11.745 | Lambda Scalar: 0.000 | Total_loss: -0.17915 (-0.18963) Joint_loss: 23.056 (23.543) Cross_loss: 2.1304 (1.9796) Image_lambda_loss: 4.5311e-07 (7.5769e-07) Text_lambda_loss: 7.2976e-06 (2.7539e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:36:58 | INFO | Train Epoch: 15 [3585980/9193800 (39%)] Step: 35.5K | Data (t): 0.189 Batch (t): 1.165, 3295.86/s, 1647.93/s/gpu Logit Scale: 81.291 | Logit Bias: -11.748 | Lambda Scalar: 0.000 | Total_loss: -0.17818 (-0.18849) Joint_loss: 22.907 (23.480) Cross_loss: 2.0112 (1.9827) Image_lambda_loss: 2.1615e-06 (8.9807e-07) Text_lambda_loss: 1.3703e-06 (2.6155e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:38:55 | INFO | Train Epoch: 15 [3983980/9193800 (43%)] Step: 35.6K | Data (t): 0.204 Batch (t): 1.164, 3499.54/s, 1749.77/s/gpu Logit Scale: 81.560 | Logit Bias: -11.752 | Lambda Scalar: 0.000 | Total_loss: -0.18076 (-0.18778) Joint_loss: 23.184 (23.453) Cross_loss: 2.0311 (1.9871) Image_lambda_loss: 7.5997e-07 (8.8551e-07) Text_lambda_loss: 4.2489e-07 (2.4164e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:40:51 | INFO | Train Epoch: 15 [4381980/9193800 (48%)] Step: 35.8K | Data (t): 0.197 Batch (t): 1.160, 3758.79/s, 1879.40/s/gpu Logit Scale: 81.829 | Logit Bias: -11.755 | Lambda Scalar: 0.000 | Total_loss: -0.18132 (-0.18724) Joint_loss: 23.227 (23.434) Cross_loss: 1.9798 (1.9865) Image_lambda_loss: 5.2861e-07 (8.5577e-07) Text_lambda_loss: 5.9328e-07 (2.2645e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:42:47 | INFO | Train Epoch: 15 [4779980/9193800 (52%)] Step: 35.9K | Data (t): 0.199 Batch (t): 1.160, 3565.06/s, 1782.53/s/gpu Logit Scale: 82.100 | Logit Bias: -11.758 | Lambda Scalar: 0.000 | Total_loss: -0.17940 (-0.18664) Joint_loss: 23.026 (23.403) Cross_loss: 1.8870 (1.9789) Image_lambda_loss: 1.5743e-06 (9.1104e-07) Text_lambda_loss: 4.4276e-07 (2.1243e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:44:41 | INFO | Train Epoch: 15 [5177980/9193800 (56%)] Step: 36.0K | Data (t): 0.199 Batch (t): 1.148, 3332.43/s, 1666.22/s/gpu Logit Scale: 82.371 | Logit Bias: -11.762 | Lambda Scalar: 0.000 | Total_loss: -0.18081 (-0.18622) Joint_loss: 23.257 (23.392) Cross_loss: 1.9532 (1.9770) Image_lambda_loss: 5.7805e-07 (8.8725e-07) Text_lambda_loss: 3.6568e-07 (1.9987e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:46:37 | INFO | Train Epoch: 15 [5575980/9193800 (61%)] Step: 36.0K | Data (t): 0.200 Batch (t): 1.160, 3509.34/s, 1754.67/s/gpu Logit Scale: 82.643 | Logit Bias: -11.765 | Lambda Scalar: 0.000 | Total_loss: -0.18156 (-0.18591) Joint_loss: 23.510 (23.400) Cross_loss: 2.0957 (1.9849) Image_lambda_loss: 1.0437e-05 (1.5239e-06) Text_lambda_loss: 1.6208e-06 (1.9735e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:48:31 | INFO | Train Epoch: 15 [5973980/9193800 (65%)] Step: 36.1K | Data (t): 0.197 Batch (t): 1.139, 3646.29/s, 1823.14/s/gpu Logit Scale: 82.916 | Logit Bias: -11.768 | Lambda Scalar: 0.000 | Total_loss: -0.18034 (-0.18556) Joint_loss: 23.375 (23.399) Cross_loss: 2.0117 (1.9866) Image_lambda_loss: 7.3877e-07 (1.4748e-06) Text_lambda_loss: 5.0585e-06 (2.1663e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:50:26 | INFO | Train Epoch: 15 [6371980/9193800 (69%)] Step: 36.2K | Data (t): 0.201 Batch (t): 1.152, 3656.32/s, 1828.16/s/gpu Logit Scale: 83.191 | Logit Bias: -11.772 | Lambda Scalar: 0.000 | Total_loss: -0.17880 (-0.18517) Joint_loss: 23.319 (23.394) Cross_loss: 2.0337 (1.9894) Image_lambda_loss: 1.3738e-06 (1.4689e-06) Text_lambda_loss: 2.0979e-06 (2.1623e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:52:23 | INFO | Train Epoch: 15 [6769980/9193800 (74%)] Step: 36.4K | Data (t): 0.203 Batch (t): 1.162, 3804.66/s, 1902.33/s/gpu Logit Scale: 83.465 | Logit Bias: -11.775 | Lambda Scalar: 0.000 | Total_loss: -0.17300 (-0.18449) Joint_loss: 22.885 (23.366) Cross_loss: 2.0317 (1.9917) Image_lambda_loss: 2.7141e-06 (1.5381e-06) Text_lambda_loss: 1.9909e-07 (2.0532e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:54:17 | INFO | Train Epoch: 15 [7167980/9193800 (78%)] Step: 36.5K | Data (t): 0.202 Batch (t): 1.139, 3818.17/s, 1909.08/s/gpu Logit Scale: 83.741 | Logit Bias: -11.778 | Lambda Scalar: 0.000 | Total_loss: -0.17743 (-0.18412) Joint_loss: 23.211 (23.357) Cross_loss: 1.9410 (1.9891) Image_lambda_loss: 1.0422e-05 (2.0057e-06) Text_lambda_loss: 2.0454e-07 (1.9559e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:56:07 | INFO | Train Epoch: 15 [7565980/9193800 (82%)] Step: 36.5K | Data (t): 0.152 Batch (t): 1.106, 3894.44/s, 1947.22/s/gpu Logit Scale: 84.018 | Logit Bias: -11.782 | Lambda Scalar: 0.000 | Total_loss: -0.17287 (-0.18356) Joint_loss: 22.880 (23.334) Cross_loss: 1.9411 (1.9867) Image_lambda_loss: 1.7697e-06 (1.9939e-06) Text_lambda_loss: 6.4245e-07 (1.8903e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:58:00 | INFO | Train Epoch: 15 [7963980/9193800 (87%)] Step: 36.6K | Data (t): 0.165 Batch (t): 1.129, 3801.11/s, 1900.55/s/gpu Logit Scale: 84.293 | Logit Bias: -11.785 | Lambda Scalar: 0.000 | Total_loss: -0.17437 (-0.18312) Joint_loss: 23.103 (23.323) Cross_loss: 1.9911 (1.9869) Image_lambda_loss: 6.3529e-07 (1.9292e-06) Text_lambda_loss: 9.2004e-06 (2.2384e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,15:59:57 | INFO | Train Epoch: 15 [8361980/9193800 (91%)] Step: 36.8K | Data (t): 0.117 Batch (t): 1.174, 3134.18/s, 1567.09/s/gpu Logit Scale: 84.573 | Logit Bias: -11.788 | Lambda Scalar: 0.000 | Total_loss: -0.18726 (-0.18331) Joint_loss: 24.393 (23.371) Cross_loss: 2.1490 (1.9942) Image_lambda_loss: 3.2216e-06 (1.9879e-06) Text_lambda_loss: 1.8623e-06 (2.2213e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,16:01:53 | INFO | Train Epoch: 15 [8759980/9193800 (95%)] Step: 36.9K | Data (t): 0.173 Batch (t): 1.158, 3464.69/s, 1732.35/s/gpu Logit Scale: 84.851 | Logit Bias: -11.792 | Lambda Scalar: 0.000 | Total_loss: -0.18319 (-0.18330) Joint_loss: 23.939 (23.396) Cross_loss: 1.9859 (1.9939) Image_lambda_loss: 4.2632e-06 (2.0868e-06) Text_lambda_loss: 4.1159e-06 (2.3036e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,16:03:47 | INFO | Train Epoch: 15 [9157980/9193800 (100%)] Step: 37.0K | Data (t): 0.191 Batch (t): 1.135, 3615.81/s, 1807.91/s/gpu Logit Scale: 85.130 | Logit Bias: -11.795 | Lambda Scalar: 0.000 | Total_loss: -0.18020 (-0.18317) Joint_loss: 23.755 (23.411) Cross_loss: 2.0047 (1.9943) Image_lambda_loss: 1.0250e-06 (2.0426e-06) Text_lambda_loss: 2.4404e-06 (2.3093e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,16:03:57 | INFO | Train Epoch: 15 [9193800/9193800 (100%)] Step: 37.0K | Data (t): 0.247 Batch (t): 1.153, 3732.43/s, 1866.22/s/gpu Logit Scale: 85.155 | Logit Bias: -11.795 | Lambda Scalar: 0.000 | Total_loss: -0.18398 (-0.18321) Joint_loss: 23.978 (23.434) Cross_loss: 1.9022 (1.9906) Image_lambda_loss: 4.0733e-06 (2.1238e-06) Text_lambda_loss: 9.1253e-07 (2.2535e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.7923141121612922 | | |
| 2025-01-24,16:03:57 | INFO | Starting zero-shot imagenet. | |
| 2025-01-24,16:03:57 | INFO | Building zero-shot classifier | |
| 2025-01-24,16:04:04 | INFO | Using classifier | |
| 2025-01-24,16:05:07 | INFO | Finished zero-shot imagenet. | |
| 2025-01-24,16:05:15 | INFO | Eval Epoch: 16 [1990 / 205824] Clip Loss: 1.826659 | |
| 2025-01-24,16:05:46 | INFO | Eval Epoch: 16 imagenet-zeroshot-val-top1: 0.2194 imagenet-zeroshot-val-top5: 0.4489 image_to_text_mean_rank: 47.7922 image_to_text_median_rank: 2.0000 image_to_text_R@1: 0.4413 image_to_text_R@5: 0.6694 image_to_text_R@10: 0.7474 text_to_image_mean_rank: 54.3716 text_to_image_median_rank: 2.0000 text_to_image_R@1: 0.4318 text_to_image_R@5: 0.6652 text_to_image_R@10: 0.7454 clip_val_loss: 1.7371 epoch: 16.0000 num_samples: 8678.0000 | |
| 2025-01-24,16:05:48 | INFO | Start epoch 16 | |
| 2025-01-24,16:05:57 | INFO | Train Epoch: 16 [ 3980/9193800 (0%)] Step: 37.0K | Data (t): 8.363 Batch (t): 9.219, 431.729/s, 215.865/s/gpu Logit Scale: 85.158 | Logit Bias: -11.795 | Lambda Scalar: 0.000 | Total_loss: -0.17866 (-0.17866) Joint_loss: 23.521 (23.521) Cross_loss: 1.8958 (1.8958) Image_lambda_loss: 2.0049e-06 (2.0049e-06) Text_lambda_loss: 2.7875e-07 (2.7875e-07) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:07:51 | INFO | Train Epoch: 16 [ 401980/9193800 (4%)] Step: 37.1K | Data (t): 0.115 Batch (t): 1.135, 3530.18/s, 1765.09/s/gpu Logit Scale: 85.439 | Logit Bias: -11.799 | Lambda Scalar: 0.000 | Total_loss: -0.19318 (-0.18592) Joint_loss: 24.902 (24.212) Cross_loss: 1.9932 (1.9445) Image_lambda_loss: 7.0208e-07 (1.3535e-06) Text_lambda_loss: 3.2601e-07 (3.0238e-07) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:09:44 | INFO | Train Epoch: 16 [ 799980/9193800 (9%)] Step: 37.2K | Data (t): 0.127 Batch (t): 1.130, 3772.04/s, 1886.02/s/gpu Logit Scale: 85.720 | Logit Bias: -11.802 | Lambda Scalar: 0.000 | Total_loss: -0.19034 (-0.18739) Joint_loss: 24.830 (24.418) Cross_loss: 2.1080 (1.9990) Image_lambda_loss: 1.1478e-05 (4.7283e-06) Text_lambda_loss: 2.6792e-06 (1.0947e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:11:39 | INFO | Train Epoch: 16 [1197980/9193800 (13%)] Step: 37.3K | Data (t): 0.149 Batch (t): 1.150, 3445.41/s, 1722.71/s/gpu Logit Scale: 86.001 | Logit Bias: -11.805 | Lambda Scalar: 0.000 | Total_loss: -0.18142 (-0.18590) Joint_loss: 24.144 (24.349) Cross_loss: 2.1317 (2.0322) Image_lambda_loss: 8.3767e-07 (3.7556e-06) Text_lambda_loss: 5.1904e-06 (2.1186e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:13:33 | INFO | Train Epoch: 16 [1595980/9193800 (17%)] Step: 37.4K | Data (t): 0.136 Batch (t): 1.144, 3848.00/s, 1924.00/s/gpu Logit Scale: 86.283 | Logit Bias: -11.809 | Lambda Scalar: 0.000 | Total_loss: -0.17547 (-0.18381) Joint_loss: 23.666 (24.213) Cross_loss: 2.1135 (2.0485) Image_lambda_loss: 9.0435e-07 (3.1854e-06) Text_lambda_loss: 1.7301e-07 (1.7295e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:15:28 | INFO | Train Epoch: 16 [1993980/9193800 (22%)] Step: 37.5K | Data (t): 0.159 Batch (t): 1.146, 3356.95/s, 1678.47/s/gpu Logit Scale: 86.566 | Logit Bias: -11.812 | Lambda Scalar: 0.000 | Total_loss: -0.17603 (-0.18252) Joint_loss: 23.458 (24.087) Cross_loss: 1.8072 (2.0082) Image_lambda_loss: 1.2841e-06 (2.8685e-06) Text_lambda_loss: 1.4259e-07 (1.4650e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:17:22 | INFO | Train Epoch: 16 [2391980/9193800 (26%)] Step: 37.6K | Data (t): 0.165 Batch (t): 1.147, 3232.36/s, 1616.18/s/gpu Logit Scale: 86.850 | Logit Bias: -11.815 | Lambda Scalar: 0.000 | Total_loss: -0.17236 (-0.18107) Joint_loss: 23.387 (23.987) Cross_loss: 2.0037 (2.0076) Image_lambda_loss: 2.6567e-06 (2.8382e-06) Text_lambda_loss: 1.0560e-06 (1.4066e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:19:16 | INFO | Train Epoch: 16 [2789980/9193800 (30%)] Step: 37.7K | Data (t): 0.170 Batch (t): 1.139, 3655.14/s, 1827.57/s/gpu Logit Scale: 87.135 | Logit Bias: -11.819 | Lambda Scalar: 0.000 | Total_loss: -0.17946 (-0.18086) Joint_loss: 24.002 (23.989) Cross_loss: 1.9540 (2.0009) Image_lambda_loss: 2.7884e-06 (2.8320e-06) Text_lambda_loss: 1.8696e-06 (1.4645e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:21:10 | INFO | Train Epoch: 16 [3187980/9193800 (35%)] Step: 37.8K | Data (t): 0.172 Batch (t): 1.138, 3337.93/s, 1668.96/s/gpu Logit Scale: 87.422 | Logit Bias: -11.822 | Lambda Scalar: 0.000 | Total_loss: -0.17034 (-0.17969) Joint_loss: 23.280 (23.910) Cross_loss: 1.9734 (1.9978) Image_lambda_loss: 1.5725e-05 (4.2646e-06) Text_lambda_loss: 1.1000e-06 (1.4240e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:23:04 | INFO | Train Epoch: 16 [3585980/9193800 (39%)] Step: 37.9K | Data (t): 0.179 Batch (t): 1.143, 2968.22/s, 1484.11/s/gpu Logit Scale: 87.710 | Logit Bias: -11.825 | Lambda Scalar: 0.000 | Total_loss: -0.17269 (-0.17899) Joint_loss: 23.459 (23.865) Cross_loss: 1.8979 (1.9878) Image_lambda_loss: 6.8979e-06 (4.5279e-06) Text_lambda_loss: 4.2934e-05 (5.5749e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:24:59 | INFO | Train Epoch: 16 [3983980/9193800 (43%)] Step: 38.0K | Data (t): 0.192 Batch (t): 1.147, 3768.41/s, 1884.21/s/gpu Logit Scale: 88.000 | Logit Bias: -11.829 | Lambda Scalar: 0.000 | Total_loss: -0.17755 (-0.17886) Joint_loss: 24.085 (23.885) Cross_loss: 2.0488 (1.9934) Image_lambda_loss: 1.7899e-06 (4.2790e-06) Text_lambda_loss: 3.1346e-07 (5.0966e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:26:53 | INFO | Train Epoch: 16 [4381980/9193800 (48%)] Step: 38.1K | Data (t): 0.187 Batch (t): 1.139, 3331.54/s, 1665.77/s/gpu Logit Scale: 88.291 | Logit Bias: -11.832 | Lambda Scalar: 0.000 | Total_loss: -0.17444 (-0.17849) Joint_loss: 23.846 (23.882) Cross_loss: 2.0315 (1.9966) Image_lambda_loss: 9.6600e-07 (4.0029e-06) Text_lambda_loss: 1.9877e-07 (4.6885e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:28:47 | INFO | Train Epoch: 16 [4779980/9193800 (52%)] Step: 38.2K | Data (t): 0.178 Batch (t): 1.146, 3206.85/s, 1603.43/s/gpu Logit Scale: 88.582 | Logit Bias: -11.835 | Lambda Scalar: 0.000 | Total_loss: -0.16819 (-0.17770) Joint_loss: 23.407 (23.845) Cross_loss: 2.0922 (2.0039) Image_lambda_loss: 5.4673e-07 (3.7370e-06) Text_lambda_loss: 1.4215e-07 (4.3388e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:30:41 | INFO | Train Epoch: 16 [5177980/9193800 (56%)] Step: 38.3K | Data (t): 0.185 Batch (t): 1.138, 3854.80/s, 1927.40/s/gpu Logit Scale: 88.874 | Logit Bias: -11.839 | Lambda Scalar: 0.000 | Total_loss: -0.16992 (-0.17715) Joint_loss: 23.474 (23.819) Cross_loss: 1.9566 (2.0005) Image_lambda_loss: 6.1350e-07 (3.5139e-06) Text_lambda_loss: 9.9919e-07 (4.1002e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:32:36 | INFO | Train Epoch: 16 [5575980/9193800 (61%)] Step: 38.4K | Data (t): 0.183 Batch (t): 1.150, 3370.63/s, 1685.32/s/gpu Logit Scale: 89.168 | Logit Bias: -11.842 | Lambda Scalar: 0.000 | Total_loss: -0.16835 (-0.17656) Joint_loss: 23.369 (23.789) Cross_loss: 1.9411 (1.9966) Image_lambda_loss: 6.7159e-07 (3.3244e-06) Text_lambda_loss: 3.7905e-06 (4.0796e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:34:32 | INFO | Train Epoch: 16 [5973980/9193800 (65%)] Step: 38.5K | Data (t): 0.190 Batch (t): 1.154, 3420.54/s, 1710.27/s/gpu Logit Scale: 89.460 | Logit Bias: -11.845 | Lambda Scalar: 0.000 | Total_loss: -0.17025 (-0.17617) Joint_loss: 23.752 (23.786) Cross_loss: 2.1061 (2.0034) Image_lambda_loss: 5.3950e-05 (6.4885e-06) Text_lambda_loss: 1.6633e-05 (4.8641e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:36:27 | INFO | Train Epoch: 16 [6371980/9193800 (69%)] Step: 38.6K | Data (t): 0.187 Batch (t): 1.155, 3690.09/s, 1845.05/s/gpu Logit Scale: 89.755 | Logit Bias: -11.849 | Lambda Scalar: 0.000 | Total_loss: -0.17335 (-0.17600) Joint_loss: 23.941 (23.795) Cross_loss: 1.9684 (2.0014) Image_lambda_loss: 3.4271e-06 (6.3084e-06) Text_lambda_loss: 1.6971e-07 (4.5880e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:38:20 | INFO | Train Epoch: 16 [6769980/9193800 (74%)] Step: 38.7K | Data (t): 0.178 Batch (t): 1.126, 3633.04/s, 1816.52/s/gpu Logit Scale: 90.052 | Logit Bias: -11.852 | Lambda Scalar: 0.000 | Total_loss: -0.16750 (-0.17553) Joint_loss: 23.533 (23.781) Cross_loss: 2.0330 (2.0031) Image_lambda_loss: 6.5095e-07 (5.9941e-06) Text_lambda_loss: 3.4266e-07 (4.3521e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:40:15 | INFO | Train Epoch: 16 [7167980/9193800 (78%)] Step: 38.8K | Data (t): 0.194 Batch (t): 1.150, 3373.89/s, 1686.94/s/gpu Logit Scale: 90.350 | Logit Bias: -11.856 | Lambda Scalar: 0.000 | Total_loss: -0.16522 (-0.17498) Joint_loss: 23.304 (23.756) Cross_loss: 1.9585 (2.0008) Image_lambda_loss: 1.9041e-05 (6.6808e-06) Text_lambda_loss: 1.9050e-05 (5.1257e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |
| 2025-01-24,16:42:09 | INFO | Train Epoch: 16 [7565980/9193800 (82%)] Step: 38.9K | Data (t): 0.187 Batch (t): 1.147, 3828.15/s, 1914.07/s/gpu Logit Scale: 90.649 | Logit Bias: -11.859 | Lambda Scalar: 0.000 | Total_loss: -0.16611 (-0.17454) Joint_loss: 23.552 (23.746) Cross_loss: 2.0769 (2.0046) Image_lambda_loss: 1.0130e-06 (6.3974e-06) Text_lambda_loss: 1.7394e-07 (4.8781e-06) | L_updates: 4 | z_beta: 1.0, model_beta: 0.8 | | |