diff --git "a/DRIP_10x_16_XL_5_7/out.log" "b/DRIP_10x_16_XL_5_7/out.log" new file mode 100644--- /dev/null +++ "b/DRIP_10x_16_XL_5_7/out.log" @@ -0,0 +1,8062 @@ +2025-08-20,16:21:04 | INFO | Running with a single process. Device cuda. +2025-08-20,16:21:04 | INFO | Loaded ViT-B-16 model config. +2025-08-20,16:21:05 | INFO | Model: +2025-08-20,16:21:05 | INFO | CLIP( + (visual): DTPViT( + (patch_embed): Conv2d(3, 768, kernel_size=(16, 16), stride=(16, 16)) + (dropout): Dropout(p=0.0, inplace=False) + (pos_emb): PositionalEmbedding() + (pre_blocks): ModuleList( + (0-4): 5 x RelPartialLearnableDecoderLayer( + (dec_attn): RelPartialLearnableMultiHeadAttn( + (qkv_net): Linear(in_features=768, out_features=2304, bias=True) + (r_net): Linear(in_features=768, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + (dropatt): Dropout(p=0.1, inplace=False) + (o_net): Linear(in_features=768, out_features=768, bias=True) + (layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + ) + (pos_ff): PositionwiseFF( + (CoreNet): Sequential( + (0): Linear(in_features=768, out_features=3072, bias=True) + (1): GELU(approximate='none') + (2): Dropout(p=0.0, inplace=False) + (3): Linear(in_features=3072, out_features=768, bias=True) + (4): Dropout(p=0.0, inplace=False) + ) + (layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + ) + ) + ) + (short_blocks): ModuleList( + (0-6): 7 x RelPartialLearnableDecoderLayer( + (dec_attn): RelPartialLearnableMultiHeadAttn( + (qkv_net): Linear(in_features=768, out_features=2304, bias=True) + (r_net): Linear(in_features=768, out_features=768, bias=True) + (drop): Dropout(p=0.0, inplace=False) + (dropatt): Dropout(p=0.1, inplace=False) + (o_net): Linear(in_features=768, out_features=768, bias=True) + (layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + ) + (pos_ff): PositionwiseFF( + (CoreNet): Sequential( + (0): Linear(in_features=768, out_features=3072, bias=True) + (1): GELU(approximate='none') + (2): Dropout(p=0.0, inplace=False) + (3): Linear(in_features=3072, out_features=768, bias=True) + (4): Dropout(p=0.0, inplace=False) + ) + (layer_norm): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + ) + ) + ) + (boundary_predictor): BoundaryPredictor( + (boundary_predictor): Sequential( + (0): Linear(in_features=768, out_features=3072, bias=True) + (1): GELU(approximate='none') + (2): Linear(in_features=3072, out_features=1, bias=True) + ) + (loss): BCEWithLogitsLoss() + ) + (down_ln): LayerNorm((768,), eps=1e-05, elementwise_affine=True) + (head): Linear(in_features=768, out_features=512, bias=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) +) +2025-08-20,16:21:05 | INFO | Params: +2025-08-20,16:21:05 | INFO | DTP: True +2025-08-20,16:21:05 | INFO | accum_freq: 1 +2025-08-20,16:21:05 | INFO | aug_cfg: {} +2025-08-20,16:21:05 | INFO | batch_size: 512 +2025-08-20,16:21:05 | INFO | beta1: 0.9 +2025-08-20,16:21:05 | INFO | beta2: 0.98 +2025-08-20,16:21:05 | INFO | cache_dir: None +2025-08-20,16:21:05 | INFO | checkpoint_path: /fs/scratch/PAS2836/yusenpeng_checkpoint/CLIP/2025_08_20-16_21_04-model_ViT-B-16-lr_5e-05-b_512-j_8-p_amp/checkpoints +2025-08-20,16:21:05 | INFO | coca_caption_loss_weight: 2.0 +2025-08-20,16:21:05 | INFO | coca_contrastive_loss_weight: 1.0 +2025-08-20,16:21:05 | INFO | copy_codebase: False +2025-08-20,16:21:05 | INFO | csv_caption_key: title +2025-08-20,16:21:05 | INFO | csv_img_key: filepath +2025-08-20,16:21:05 | INFO | csv_separator: +2025-08-20,16:21:05 | INFO | dataset_resampled: False +2025-08-20,16:21:05 | INFO | dataset_type: webdataset +2025-08-20,16:21:05 | INFO | ddp_static_graph: False +2025-08-20,16:21:05 | INFO | debug: False +2025-08-20,16:21:05 | INFO | delete_previous_checkpoint: False +2025-08-20,16:21:05 | INFO | device: cuda +2025-08-20,16:21:05 | INFO | dist_backend: None +2025-08-20,16:21:05 | INFO | dist_url: None +2025-08-20,16:21:05 | INFO | distill: False +2025-08-20,16:21:05 | INFO | distill_model: None +2025-08-20,16:21:05 | INFO | distill_pretrained: None +2025-08-20,16:21:05 | INFO | distributed: False +2025-08-20,16:21:05 | INFO | epochs: 15 +2025-08-20,16:21:05 | INFO | epochs_cooldown: None +2025-08-20,16:21:05 | INFO | eps: 1e-06 +2025-08-20,16:21:05 | INFO | force_custom_text: False +2025-08-20,16:21:05 | INFO | force_image_size: None +2025-08-20,16:21:05 | INFO | force_patch_dropout: None +2025-08-20,16:21:05 | INFO | force_quick_gelu: False +2025-08-20,16:21:05 | INFO | gather_with_grad: False +2025-08-20,16:21:05 | INFO | grad_checkpointing: False +2025-08-20,16:21:05 | INFO | grad_clip_norm: None +2025-08-20,16:21:05 | INFO | horovod: False +2025-08-20,16:21:05 | INFO | image_interpolation: None +2025-08-20,16:21:05 | INFO | image_mean: None +2025-08-20,16:21:05 | INFO | image_resize_mode: None +2025-08-20,16:21:05 | INFO | image_std: None +2025-08-20,16:21:05 | INFO | imagenet_v2: None +2025-08-20,16:21:05 | INFO | imagenet_val: /fs/scratch/PAS2836/yusenpeng_dataset/val +2025-08-20,16:21:05 | INFO | local_loss: False +2025-08-20,16:21:05 | INFO | local_rank: 0 +2025-08-20,16:21:05 | INFO | lock_image: False +2025-08-20,16:21:05 | INFO | lock_image_freeze_bn_stats: False +2025-08-20,16:21:05 | INFO | lock_image_unlocked_groups: 0 +2025-08-20,16:21:05 | INFO | lock_text: False +2025-08-20,16:21:05 | INFO | lock_text_freeze_layer_norm: False +2025-08-20,16:21:05 | INFO | lock_text_unlocked_layers: 0 +2025-08-20,16:21:05 | INFO | log_every_n_steps: 100 +2025-08-20,16:21:05 | INFO | log_level: 20 +2025-08-20,16:21:05 | INFO | log_local: False +2025-08-20,16:21:05 | INFO | log_path: /fs/scratch/PAS2836/yusenpeng_checkpoint/CLIP/2025_08_20-16_21_04-model_ViT-B-16-lr_5e-05-b_512-j_8-p_amp/out.log +2025-08-20,16:21:05 | INFO | logs: /fs/scratch/PAS2836/yusenpeng_checkpoint/CLIP/ +2025-08-20,16:21:05 | INFO | loss_dist_impl: None +2025-08-20,16:21:05 | INFO | lr: 5e-05 +2025-08-20,16:21:05 | INFO | lr_cooldown_end: 0.0 +2025-08-20,16:21:05 | INFO | lr_cooldown_power: 1.0 +2025-08-20,16:21:05 | INFO | lr_scheduler: cosine +2025-08-20,16:21:05 | INFO | model: ViT-B-16 +2025-08-20,16:21:05 | INFO | momentum: None +2025-08-20,16:21:05 | INFO | name: 2025_08_20-16_21_04-model_ViT-B-16-lr_5e-05-b_512-j_8-p_amp +2025-08-20,16:21:05 | INFO | no_set_device_rank: False +2025-08-20,16:21:05 | INFO | opt: adamw +2025-08-20,16:21:05 | INFO | precision: amp +2025-08-20,16:21:05 | INFO | pretrained: +2025-08-20,16:21:05 | INFO | pretrained_image: False +2025-08-20,16:21:05 | INFO | rank: 0 +2025-08-20,16:21:05 | INFO | remote_sync: None +2025-08-20,16:21:05 | INFO | remote_sync_frequency: 300 +2025-08-20,16:21:05 | INFO | remote_sync_protocol: s3 +2025-08-20,16:21:05 | INFO | report_to: tensorboard +2025-08-20,16:21:05 | INFO | resume: None +2025-08-20,16:21:05 | INFO | save_frequency: 1 +2025-08-20,16:21:05 | INFO | save_most_recent: False +2025-08-20,16:21:05 | INFO | seed: 0 +2025-08-20,16:21:05 | INFO | siglip: False +2025-08-20,16:21:05 | INFO | skip_scheduler: False +2025-08-20,16:21:05 | INFO | tensorboard: True +2025-08-20,16:21:05 | INFO | tensorboard_path: /fs/scratch/PAS2836/yusenpeng_checkpoint/CLIP/2025_08_20-16_21_04-model_ViT-B-16-lr_5e-05-b_512-j_8-p_amp/tensorboard +2025-08-20,16:21:05 | INFO | torchcompile: False +2025-08-20,16:21:05 | INFO | torchscript: False +2025-08-20,16:21:05 | INFO | trace: False +2025-08-20,16:21:05 | INFO | train_data: 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+2025-08-20,16:21:05 | INFO | train_data_upsampling_factors: None +2025-08-20,16:21:05 | INFO | train_num_samples: 26365716 +2025-08-20,16:21:05 | INFO | use_bn_sync: False +2025-08-20,16:21:05 | INFO | use_bnb_linear: None +2025-08-20,16:21:05 | INFO | val_data: None +2025-08-20,16:21:05 | INFO | val_frequency: 1 +2025-08-20,16:21:05 | INFO | val_num_samples: None +2025-08-20,16:21:05 | INFO | wandb: False +2025-08-20,16:21:05 | INFO | wandb_notes: +2025-08-20,16:21:05 | INFO | wandb_project_name: open-clip +2025-08-20,16:21:05 | INFO | warmup: 50 +2025-08-20,16:21:05 | INFO | wd: 0.1 +2025-08-20,16:21:05 | INFO | workers: 8 +2025-08-20,16:21:05 | INFO | world_size: 1 +2025-08-20,16:21:05 | INFO | zeroshot_frequency: 1 +2025-08-20,16:21:05 | INFO | Created AdamW (adamw) optimizer: lr: 5e-05, betas: (0.9, 0.98), eps: 1e-06, weight_decay: 0.1, amsgrad: False, maximize: False, foreach: None, capturable: False, differentiable: False, fused: None, decoupled_weight_decay: True +2025-08-20,16:21:06 | INFO | Start epoch 0 +2025-08-20,16:21:12 | INFO | Train Epoch: 0 [ 512/26365952 (0%)] Avg Boundaries (per batch): 97.717 Boundary Ratio: 0.499 Contrastive_loss: 6.2937 (6.2937) Boundary_loss: 0.52616 (0.52616) Loss: 6.8198 (6.8198) +2025-08-20,16:22:22 | INFO | Train Epoch: 0 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 20.168 Boundary Ratio: 0.103 Contrastive_loss: 6.1771 (6.2354) Boundary_loss: 0.014680 (0.27042) Loss: 6.1918 (6.5058) +2025-08-20,16:23:28 | INFO | Train Epoch: 0 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 5.9900 (6.1536) Boundary_loss: 0.014509 (0.18512) Loss: 6.0045 (6.3387) +2025-08-20,16:24:34 | INFO | Train Epoch: 0 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 18.449 Boundary Ratio: 0.094 Contrastive_loss: 5.8093 (6.0675) Boundary_loss: 0.014570 (0.14248) Loss: 5.8239 (6.2100) +2025-08-20,16:25:40 | INFO | Train Epoch: 0 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 20.029 Boundary Ratio: 0.102 Contrastive_loss: 5.6433 (5.9827) Boundary_loss: 0.014669 (0.11692) Loss: 5.6580 (6.0996) +2025-08-20,16:26:45 | INFO | Train Epoch: 0 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 5.6036 (5.9195) Boundary_loss: 0.014671 (0.099877) Loss: 5.6183 (6.0194) +2025-08-20,16:27:51 | INFO | Train Epoch: 0 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 5.4118 (5.8470) Boundary_loss: 0.014603 (0.087695) Loss: 5.4264 (5.9347) +2025-08-20,16:28:57 | INFO | Train Epoch: 0 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 18.600 Boundary Ratio: 0.095 Contrastive_loss: 5.3841 (5.7891) Boundary_loss: 0.014415 (0.078535) Loss: 5.3986 (5.8677) +2025-08-20,16:30:03 | INFO | Train Epoch: 0 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 5.3029 (5.7351) Boundary_loss: 0.014681 (0.071440) Loss: 5.3176 (5.8066) +2025-08-20,16:31:09 | INFO | Train Epoch: 0 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 5.2231 (5.6839) Boundary_loss: 0.014483 (0.065744) Loss: 5.2376 (5.7497) +2025-08-20,16:32:14 | INFO | Train Epoch: 0 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.793 Boundary Ratio: 0.101 Contrastive_loss: 5.0008 (5.6218) Boundary_loss: 0.014362 (0.061073) Loss: 5.0152 (5.6829) +2025-08-20,16:33:20 | INFO | Train Epoch: 0 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 5.0223 (5.5719) Boundary_loss: 0.014562 (0.057197) Loss: 5.0369 (5.6290) +2025-08-20,16:34:26 | INFO | Train Epoch: 0 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.906 Boundary Ratio: 0.102 Contrastive_loss: 5.0216 (5.5295) Boundary_loss: 0.014613 (0.053922) Loss: 5.0362 (5.5834) +2025-08-20,16:35:32 | INFO | Train Epoch: 0 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.764 Boundary Ratio: 0.101 Contrastive_loss: 4.9295 (5.4867) Boundary_loss: 0.014750 (0.051124) Loss: 4.9443 (5.5378) +2025-08-20,16:36:38 | INFO | Train Epoch: 0 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 4.9814 (5.4530) Boundary_loss: 0.014304 (0.048669) Loss: 4.9957 (5.5017) +2025-08-20,16:37:43 | INFO | Train Epoch: 0 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.744 Boundary Ratio: 0.101 Contrastive_loss: 4.7682 (5.4102) Boundary_loss: 0.014395 (0.046527) Loss: 4.7826 (5.4567) +2025-08-20,16:38:49 | INFO | Train Epoch: 0 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 18.920 Boundary Ratio: 0.097 Contrastive_loss: 4.6986 (5.3683) Boundary_loss: 0.014704 (0.044655) Loss: 4.7133 (5.4130) +2025-08-20,16:39:55 | INFO | Train Epoch: 0 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 20.229 Boundary Ratio: 0.103 Contrastive_loss: 4.7546 (5.3342) Boundary_loss: 0.014542 (0.042982) Loss: 4.7691 (5.3772) +2025-08-20,16:41:01 | INFO | Train Epoch: 0 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.695 Boundary Ratio: 0.100 Contrastive_loss: 4.6794 (5.2998) Boundary_loss: 0.014560 (0.041486) Loss: 4.6940 (5.3413) +2025-08-20,16:42:07 | INFO | Train Epoch: 0 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 4.6806 (5.2688) Boundary_loss: 0.014341 (0.040129) Loss: 4.6949 (5.3089) +2025-08-20,16:43:12 | INFO | Train Epoch: 0 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 4.5887 (5.2364) Boundary_loss: 0.014379 (0.038903) Loss: 4.6030 (5.2753) +2025-08-20,16:44:18 | INFO | Train Epoch: 0 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 4.5306 (5.2043) Boundary_loss: 0.014430 (0.037790) Loss: 4.5450 (5.2421) +2025-08-20,16:45:24 | INFO | Train Epoch: 0 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 4.4827 (5.1730) Boundary_loss: 0.014765 (0.036789) Loss: 4.4974 (5.2097) +2025-08-20,16:46:30 | INFO | Train Epoch: 0 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 18.225 Boundary Ratio: 0.093 Contrastive_loss: 4.4283 (5.1419) Boundary_loss: 0.014799 (0.035873) Loss: 4.4431 (5.1778) +2025-08-20,16:47:35 | INFO | Train Epoch: 0 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.793 Boundary Ratio: 0.101 Contrastive_loss: 4.5656 (5.1189) Boundary_loss: 0.014353 (0.035012) Loss: 4.5799 (5.1539) +2025-08-20,16:48:41 | INFO | Train Epoch: 0 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.857 Boundary Ratio: 0.101 Contrastive_loss: 4.3357 (5.0888) Boundary_loss: 0.014601 (0.034227) Loss: 4.3503 (5.1230) +2025-08-20,16:49:47 | INFO | Train Epoch: 0 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 18.688 Boundary Ratio: 0.095 Contrastive_loss: 4.5375 (5.0683) Boundary_loss: 0.014345 (0.033491) Loss: 4.5519 (5.1018) +2025-08-20,16:50:52 | INFO | Train Epoch: 0 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.789 Boundary Ratio: 0.101 Contrastive_loss: 4.4140 (5.0450) Boundary_loss: 0.014421 (0.032810) Loss: 4.4284 (5.0778) +2025-08-20,16:51:58 | INFO | Train Epoch: 0 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.977 Boundary Ratio: 0.102 Contrastive_loss: 4.2886 (5.0189) Boundary_loss: 0.014544 (0.032180) Loss: 4.3032 (5.0511) +2025-08-20,16:53:04 | INFO | Train Epoch: 0 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 18.818 Boundary Ratio: 0.096 Contrastive_loss: 4.2948 (4.9948) Boundary_loss: 0.014278 (0.031583) Loss: 4.3091 (5.0263) +2025-08-20,16:54:09 | INFO | Train Epoch: 0 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 4.3078 (4.9726) Boundary_loss: 0.014480 (0.031031) Loss: 4.3223 (5.0036) +2025-08-20,16:55:15 | INFO | Train Epoch: 0 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.900 Boundary Ratio: 0.102 Contrastive_loss: 4.3609 (4.9535) Boundary_loss: 0.014231 (0.030506) Loss: 4.3751 (4.9840) +2025-08-20,16:56:21 | INFO | Train Epoch: 0 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 18.938 Boundary Ratio: 0.097 Contrastive_loss: 4.2097 (4.9309) Boundary_loss: 0.014280 (0.030015) Loss: 4.2240 (4.9610) +2025-08-20,16:57:27 | INFO | Train Epoch: 0 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 4.0099 (4.9039) Boundary_loss: 0.014415 (0.029556) Loss: 4.0243 (4.9334) +2025-08-20,16:58:32 | INFO | Train Epoch: 0 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 4.1585 (4.8826) Boundary_loss: 0.014677 (0.029131) Loss: 4.1732 (4.9117) +2025-08-20,16:59:38 | INFO | Train Epoch: 0 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 18.668 Boundary Ratio: 0.095 Contrastive_loss: 4.1585 (4.8624) Boundary_loss: 0.014350 (0.028720) Loss: 4.1729 (4.8912) +2025-08-20,17:00:44 | INFO | Train Epoch: 0 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 4.1606 (4.8435) Boundary_loss: 0.014841 (0.028345) Loss: 4.1754 (4.8718) +2025-08-20,17:01:49 | INFO | Train Epoch: 0 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.592 Boundary Ratio: 0.100 Contrastive_loss: 4.1656 (4.8256) Boundary_loss: 0.014355 (0.027977) Loss: 4.1800 (4.8536) +2025-08-20,17:02:55 | INFO | Train Epoch: 0 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.965 Boundary Ratio: 0.102 Contrastive_loss: 4.0477 (4.8057) Boundary_loss: 0.014390 (0.027629) Loss: 4.0621 (4.8333) +2025-08-20,17:04:01 | INFO | Train Epoch: 0 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 18.926 Boundary Ratio: 0.097 Contrastive_loss: 4.0527 (4.7869) Boundary_loss: 0.014422 (0.027298) Loss: 4.0671 (4.8142) +2025-08-20,17:05:06 | INFO | Train Epoch: 0 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 3.9102 (4.7655) Boundary_loss: 0.014340 (0.026982) Loss: 3.9246 (4.7925) +2025-08-20,17:06:12 | INFO | Train Epoch: 0 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 4.0035 (4.7473) Boundary_loss: 0.014455 (0.026684) Loss: 4.0179 (4.7740) +2025-08-20,17:07:18 | INFO | Train Epoch: 0 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 18.865 Boundary Ratio: 0.096 Contrastive_loss: 3.8339 (4.7261) Boundary_loss: 0.014155 (0.026393) Loss: 3.8480 (4.7525) +2025-08-20,17:08:23 | INFO | Train Epoch: 0 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 20.521 Boundary Ratio: 0.105 Contrastive_loss: 4.0243 (4.7101) Boundary_loss: 0.014381 (0.026120) Loss: 4.0387 (4.7363) +2025-08-20,17:09:29 | INFO | Train Epoch: 0 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 18.846 Boundary Ratio: 0.096 Contrastive_loss: 3.8308 (4.6906) Boundary_loss: 0.014162 (0.025854) Loss: 3.8449 (4.7165) +2025-08-20,17:10:35 | INFO | Train Epoch: 0 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.643 Boundary Ratio: 0.100 Contrastive_loss: 3.7205 (4.6695) Boundary_loss: 0.014151 (0.025600) Loss: 3.7347 (4.6951) +2025-08-20,17:11:40 | INFO | Train Epoch: 0 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 3.8915 (4.6530) Boundary_loss: 0.014453 (0.025362) Loss: 3.9060 (4.6783) +2025-08-20,17:12:45 | INFO | Train Epoch: 0 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 3.7054 (4.6332) Boundary_loss: 0.013980 (0.025125) Loss: 3.7194 (4.6583) +2025-08-20,17:13:51 | INFO | Train Epoch: 0 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 3.8186 (4.6166) Boundary_loss: 0.014074 (0.024900) Loss: 3.8327 (4.6415) +2025-08-20,17:14:57 | INFO | Train Epoch: 0 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.801 Boundary Ratio: 0.101 Contrastive_loss: 3.7352 (4.5990) Boundary_loss: 0.014326 (0.024688) Loss: 3.7495 (4.6237) +2025-08-20,17:16:02 | INFO | Train Epoch: 0 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.861 Boundary Ratio: 0.101 Contrastive_loss: 3.7935 (4.5832) Boundary_loss: 0.014108 (0.024481) Loss: 3.8076 (4.6077) +2025-08-20,17:17:08 | INFO | Train Epoch: 0 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 3.6167 (4.5646) Boundary_loss: 0.013905 (0.024277) Loss: 3.6306 (4.5889) +2025-08-20,17:18:13 | INFO | Train Epoch: 0 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 18.762 Boundary Ratio: 0.096 Contrastive_loss: 3.6861 (4.5480) Boundary_loss: 0.013972 (0.024083) Loss: 3.7001 (4.5721) +2025-08-20,17:19:19 | INFO | Train Epoch: 0 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 20.086 Boundary Ratio: 0.102 Contrastive_loss: 3.7228 (4.5327) Boundary_loss: 0.014165 (0.023899) Loss: 3.7370 (4.5566) +2025-08-20,17:20:24 | INFO | Train Epoch: 0 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 3.6461 (4.5166) Boundary_loss: 0.014365 (0.023726) Loss: 3.6605 (4.5403) +2025-08-20,17:21:30 | INFO | Train Epoch: 0 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.764 Boundary Ratio: 0.101 Contrastive_loss: 3.7970 (4.5038) Boundary_loss: 0.013941 (0.023551) Loss: 3.8109 (4.5273) +2025-08-20,17:22:35 | INFO | Train Epoch: 0 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.916 Boundary Ratio: 0.102 Contrastive_loss: 3.6411 (4.4886) Boundary_loss: 0.014314 (0.023389) Loss: 3.6554 (4.5120) +2025-08-20,17:23:41 | INFO | Train Epoch: 0 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 3.6610 (4.4744) Boundary_loss: 0.013950 (0.023226) Loss: 3.6749 (4.4976) +2025-08-20,17:24:46 | INFO | Train Epoch: 0 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 20.051 Boundary Ratio: 0.102 Contrastive_loss: 3.5945 (4.4594) Boundary_loss: 0.014260 (0.023074) Loss: 3.6088 (4.4825) +2025-08-20,17:25:52 | INFO | Train Epoch: 0 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.826 Boundary Ratio: 0.101 Contrastive_loss: 3.6916 (4.4466) Boundary_loss: 0.014091 (0.022925) Loss: 3.7057 (4.4696) +2025-08-20,17:26:58 | INFO | Train Epoch: 0 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.920 Boundary Ratio: 0.102 Contrastive_loss: 3.6295 (4.4333) Boundary_loss: 0.014184 (0.022781) Loss: 3.6437 (4.4560) +2025-08-20,17:28:03 | INFO | Train Epoch: 0 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 3.6242 (4.4202) Boundary_loss: 0.013958 (0.022639) Loss: 3.6381 (4.4428) +2025-08-20,17:29:09 | INFO | Train Epoch: 0 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 3.6171 (4.4075) Boundary_loss: 0.014024 (0.022502) Loss: 3.6311 (4.4300) +2025-08-20,17:30:14 | INFO | Train Epoch: 0 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 3.3254 (4.3905) Boundary_loss: 0.013830 (0.022367) Loss: 3.3392 (4.4129) +2025-08-20,17:31:20 | INFO | Train Epoch: 0 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 3.4874 (4.3767) Boundary_loss: 0.014000 (0.022238) Loss: 3.5014 (4.3989) +2025-08-20,17:32:25 | INFO | Train Epoch: 0 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 3.6207 (4.3652) Boundary_loss: 0.014355 (0.022119) Loss: 3.6351 (4.3873) +2025-08-20,17:33:31 | INFO | Train Epoch: 0 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 18.598 Boundary Ratio: 0.095 Contrastive_loss: 3.5289 (4.3527) Boundary_loss: 0.013955 (0.021997) Loss: 3.5428 (4.3747) +2025-08-20,17:34:36 | INFO | Train Epoch: 0 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 20.025 Boundary Ratio: 0.102 Contrastive_loss: 3.4161 (4.3389) Boundary_loss: 0.014013 (0.021879) Loss: 3.4301 (4.3608) +2025-08-20,17:35:42 | INFO | Train Epoch: 0 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 18.186 Boundary Ratio: 0.093 Contrastive_loss: 3.5653 (4.3277) Boundary_loss: 0.014040 (0.021766) Loss: 3.5793 (4.3495) +2025-08-20,17:36:47 | INFO | Train Epoch: 0 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 18.699 Boundary Ratio: 0.095 Contrastive_loss: 3.4659 (4.3154) Boundary_loss: 0.013950 (0.021654) Loss: 3.4798 (4.3371) +2025-08-20,17:37:53 | INFO | Train Epoch: 0 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 18.951 Boundary Ratio: 0.097 Contrastive_loss: 3.1560 (4.2991) Boundary_loss: 0.013897 (0.021545) Loss: 3.1699 (4.3206) +2025-08-20,17:38:58 | INFO | Train Epoch: 0 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 3.3155 (4.2854) Boundary_loss: 0.013792 (0.021437) Loss: 3.3293 (4.3069) +2025-08-20,17:40:04 | INFO | Train Epoch: 0 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 20.061 Boundary Ratio: 0.102 Contrastive_loss: 3.4806 (4.2744) Boundary_loss: 0.014022 (0.021336) Loss: 3.4946 (4.2957) +2025-08-20,17:41:09 | INFO | Train Epoch: 0 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 20.109 Boundary Ratio: 0.103 Contrastive_loss: 3.3734 (4.2622) Boundary_loss: 0.013962 (0.021236) Loss: 3.3873 (4.2835) +2025-08-20,17:42:14 | INFO | Train Epoch: 0 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 20.035 Boundary Ratio: 0.102 Contrastive_loss: 3.2883 (4.2492) Boundary_loss: 0.013880 (0.021138) Loss: 3.3022 (4.2704) +2025-08-20,17:43:20 | INFO | Train Epoch: 0 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 3.3391 (4.2373) Boundary_loss: 0.013512 (0.021038) Loss: 3.3526 (4.2583) +2025-08-20,17:44:25 | INFO | Train Epoch: 0 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 18.715 Boundary Ratio: 0.095 Contrastive_loss: 3.2835 (4.2249) Boundary_loss: 0.013872 (0.020945) Loss: 3.2974 (4.2458) +2025-08-20,17:45:31 | INFO | Train Epoch: 0 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 3.1867 (4.2116) Boundary_loss: 0.013865 (0.020854) Loss: 3.2005 (4.2324) +2025-08-20,17:46:36 | INFO | Train Epoch: 0 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 20.070 Boundary Ratio: 0.102 Contrastive_loss: 3.1014 (4.1975) Boundary_loss: 0.013841 (0.020765) Loss: 3.1152 (4.2183) +2025-08-20,17:47:42 | INFO | Train Epoch: 0 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 3.3201 (4.1865) Boundary_loss: 0.013786 (0.020678) Loss: 3.3338 (4.2072) +2025-08-20,17:48:47 | INFO | Train Epoch: 0 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 3.3342 (4.1760) Boundary_loss: 0.013921 (0.020594) Loss: 3.3482 (4.1966) +2025-08-20,17:49:52 | INFO | Train Epoch: 0 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 20.203 Boundary Ratio: 0.103 Contrastive_loss: 3.1859 (4.1639) Boundary_loss: 0.014135 (0.020516) Loss: 3.2000 (4.1845) +2025-08-20,17:50:58 | INFO | Train Epoch: 0 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 3.3445 (4.1541) Boundary_loss: 0.013882 (0.020436) Loss: 3.3584 (4.1745) +2025-08-20,17:52:03 | INFO | Train Epoch: 0 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 18.408 Boundary Ratio: 0.094 Contrastive_loss: 3.2563 (4.1434) Boundary_loss: 0.013933 (0.020358) Loss: 3.2703 (4.1637) +2025-08-20,17:53:09 | INFO | Train Epoch: 0 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 3.0077 (4.1300) Boundary_loss: 0.013793 (0.020281) Loss: 3.0215 (4.1503) +2025-08-20,17:54:14 | INFO | Train Epoch: 0 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 18.406 Boundary Ratio: 0.094 Contrastive_loss: 3.2930 (4.1203) Boundary_loss: 0.013874 (0.020207) Loss: 3.3069 (4.1405) +2025-08-20,17:55:20 | INFO | Train Epoch: 0 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.889 Boundary Ratio: 0.101 Contrastive_loss: 3.3958 (4.1120) Boundary_loss: 0.013702 (0.020132) Loss: 3.4095 (4.1321) +2025-08-20,17:56:25 | INFO | Train Epoch: 0 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 2.9697 (4.0990) Boundary_loss: 0.013755 (0.020059) Loss: 2.9834 (4.1190) +2025-08-20,17:57:31 | INFO | Train Epoch: 0 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 3.0982 (4.0877) Boundary_loss: 0.013797 (0.019989) Loss: 3.1120 (4.1077) +2025-08-20,17:58:36 | INFO | Train Epoch: 0 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 3.1437 (4.0772) Boundary_loss: 0.013943 (0.019922) Loss: 3.1576 (4.0972) +2025-08-20,17:59:41 | INFO | Train Epoch: 0 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 3.2483 (4.0681) Boundary_loss: 0.013738 (0.019854) Loss: 3.2620 (4.0880) +2025-08-20,18:00:47 | INFO | Train Epoch: 0 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 18.418 Boundary Ratio: 0.094 Contrastive_loss: 3.2787 (4.0596) Boundary_loss: 0.013708 (0.019787) Loss: 3.2924 (4.0793) +2025-08-20,18:01:52 | INFO | Train Epoch: 0 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 20.076 Boundary Ratio: 0.102 Contrastive_loss: 3.1522 (4.0498) Boundary_loss: 0.013887 (0.019724) Loss: 3.1661 (4.0695) +2025-08-20,18:02:58 | INFO | Train Epoch: 0 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.859 Boundary Ratio: 0.101 Contrastive_loss: 3.0978 (4.0397) Boundary_loss: 0.013556 (0.019658) Loss: 3.1113 (4.0593) +2025-08-20,18:04:03 | INFO | Train Epoch: 0 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 3.0111 (4.0288) Boundary_loss: 0.013881 (0.019597) Loss: 3.0250 (4.0484) +2025-08-20,18:05:09 | INFO | Train Epoch: 0 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 18.949 Boundary Ratio: 0.097 Contrastive_loss: 3.1179 (4.0194) Boundary_loss: 0.013761 (0.019536) Loss: 3.1316 (4.0389) +2025-08-20,18:06:14 | INFO | Train Epoch: 0 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 18.922 Boundary Ratio: 0.097 Contrastive_loss: 3.0565 (4.0094) Boundary_loss: 0.013870 (0.019478) Loss: 3.0703 (4.0289) +2025-08-20,18:07:20 | INFO | Train Epoch: 0 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.732 Boundary Ratio: 0.101 Contrastive_loss: 3.0363 (3.9995) Boundary_loss: 0.013923 (0.019421) Loss: 3.0502 (4.0189) +2025-08-20,18:08:25 | INFO | Train Epoch: 0 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.965 Boundary Ratio: 0.102 Contrastive_loss: 3.1019 (3.9904) Boundary_loss: 0.013762 (0.019364) Loss: 3.1157 (4.0098) +2025-08-20,18:09:31 | INFO | Train Epoch: 0 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.768 Boundary Ratio: 0.101 Contrastive_loss: 3.1726 (3.9823) Boundary_loss: 0.013686 (0.019307) Loss: 3.1863 (4.0016) +2025-08-20,18:10:36 | INFO | Train Epoch: 0 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 3.1635 (3.9742) Boundary_loss: 0.013735 (0.019252) Loss: 3.1772 (3.9934) +2025-08-20,18:11:42 | INFO | Train Epoch: 0 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 3.1740 (3.9663) Boundary_loss: 0.013748 (0.019198) Loss: 3.1878 (3.9855) +2025-08-20,18:12:47 | INFO | Train Epoch: 0 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.801 Boundary Ratio: 0.101 Contrastive_loss: 3.0549 (3.9575) Boundary_loss: 0.013691 (0.019145) Loss: 3.0686 (3.9766) +2025-08-20,18:13:53 | INFO | Train Epoch: 0 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 3.0863 (3.9491) Boundary_loss: 0.013768 (0.019093) Loss: 3.1001 (3.9682) +2025-08-20,18:14:58 | INFO | Train Epoch: 0 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 18.848 Boundary Ratio: 0.096 Contrastive_loss: 2.9371 (3.9394) Boundary_loss: 0.013697 (0.019042) Loss: 2.9508 (3.9585) +2025-08-20,18:16:04 | INFO | Train Epoch: 0 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 2.9572 (3.9302) Boundary_loss: 0.013846 (0.018993) Loss: 2.9710 (3.9492) +2025-08-20,18:17:09 | INFO | Train Epoch: 0 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.723 Boundary Ratio: 0.101 Contrastive_loss: 2.8751 (3.9203) Boundary_loss: 0.013638 (0.018943) Loss: 2.8888 (3.9393) +2025-08-20,18:18:14 | INFO | Train Epoch: 0 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 2.8460 (3.9104) Boundary_loss: 0.013684 (0.018894) Loss: 2.8597 (3.9293) +2025-08-20,18:19:20 | INFO | Train Epoch: 0 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 2.8680 (3.9008) Boundary_loss: 0.013633 (0.018846) Loss: 2.8816 (3.9197) +2025-08-20,18:20:25 | INFO | Train Epoch: 0 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 2.9858 (3.8925) Boundary_loss: 0.013626 (0.018798) Loss: 2.9994 (3.9113) +2025-08-20,18:21:31 | INFO | Train Epoch: 0 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 2.9520 (3.8840) Boundary_loss: 0.013830 (0.018753) Loss: 2.9659 (3.9028) +2025-08-20,18:22:36 | INFO | Train Epoch: 0 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 18.803 Boundary Ratio: 0.096 Contrastive_loss: 2.9710 (3.8759) Boundary_loss: 0.013681 (0.018708) Loss: 2.9846 (3.8946) +2025-08-20,18:23:42 | INFO | Train Epoch: 0 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 2.8920 (3.8672) Boundary_loss: 0.013788 (0.018665) Loss: 2.9057 (3.8858) +2025-08-20,18:24:47 | INFO | Train Epoch: 0 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 18.670 Boundary Ratio: 0.095 Contrastive_loss: 2.7758 (3.8576) Boundary_loss: 0.013635 (0.018620) Loss: 2.7894 (3.8762) +2025-08-20,18:25:53 | INFO | Train Epoch: 0 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 2.6769 (3.8473) Boundary_loss: 0.013538 (0.018576) Loss: 2.6904 (3.8659) +2025-08-20,18:26:58 | INFO | Train Epoch: 0 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 2.9952 (3.8400) Boundary_loss: 0.013521 (0.018533) Loss: 3.0087 (3.8585) +2025-08-20,18:28:04 | INFO | Train Epoch: 0 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 2.9357 (3.8322) Boundary_loss: 0.013794 (0.018492) Loss: 2.9495 (3.8507) +2025-08-20,18:29:09 | INFO | Train Epoch: 0 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 2.8449 (3.8239) Boundary_loss: 0.013694 (0.018451) Loss: 2.8585 (3.8423) +2025-08-20,18:30:15 | INFO | Train Epoch: 0 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 2.7978 (3.8153) Boundary_loss: 0.013677 (0.018411) Loss: 2.8115 (3.8337) +2025-08-20,18:31:20 | INFO | Train Epoch: 0 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.924 Boundary Ratio: 0.102 Contrastive_loss: 2.7356 (3.8063) Boundary_loss: 0.013674 (0.018372) Loss: 2.7493 (3.8246) +2025-08-20,18:32:26 | INFO | Train Epoch: 0 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 2.8481 (3.7983) Boundary_loss: 0.013755 (0.018334) Loss: 2.8619 (3.8167) +2025-08-20,18:33:31 | INFO | Train Epoch: 0 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 18.564 Boundary Ratio: 0.095 Contrastive_loss: 2.9230 (3.7912) Boundary_loss: 0.013841 (0.018297) Loss: 2.9369 (3.8095) +2025-08-20,18:34:37 | INFO | Train Epoch: 0 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 18.270 Boundary Ratio: 0.093 Contrastive_loss: 2.9140 (3.7840) Boundary_loss: 0.013761 (0.018260) Loss: 2.9278 (3.8023) +2025-08-20,18:35:42 | INFO | Train Epoch: 0 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 2.8948 (3.7769) Boundary_loss: 0.013747 (0.018224) Loss: 2.9085 (3.7951) +2025-08-20,18:36:48 | INFO | Train Epoch: 0 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 2.8636 (3.7696) Boundary_loss: 0.013544 (0.018186) Loss: 2.8771 (3.7877) +2025-08-20,18:37:53 | INFO | Train Epoch: 0 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 2.7017 (3.7611) Boundary_loss: 0.013608 (0.018150) Loss: 2.7153 (3.7792) +2025-08-20,18:38:59 | INFO | Train Epoch: 0 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 2.6371 (3.7522) Boundary_loss: 0.013719 (0.018115) Loss: 2.6508 (3.7703) +2025-08-20,18:40:04 | INFO | Train Epoch: 0 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 2.7404 (3.7443) Boundary_loss: 0.013810 (0.018081) Loss: 2.7542 (3.7624) +2025-08-20,18:41:10 | INFO | Train Epoch: 0 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 20.115 Boundary Ratio: 0.103 Contrastive_loss: 2.7406 (3.7365) Boundary_loss: 0.013816 (0.018048) Loss: 2.7544 (3.7546) +2025-08-20,18:42:15 | INFO | Train Epoch: 0 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 2.6684 (3.7283) Boundary_loss: 0.013677 (0.018015) Loss: 2.6821 (3.7463) +2025-08-20,18:43:20 | INFO | Train Epoch: 0 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 18.885 Boundary Ratio: 0.096 Contrastive_loss: 2.6679 (3.7202) Boundary_loss: 0.013829 (0.017983) Loss: 2.6817 (3.7382) +2025-08-20,18:44:26 | INFO | Train Epoch: 0 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 2.9642 (3.7145) Boundary_loss: 0.013738 (0.017951) Loss: 2.9780 (3.7325) +2025-08-20,18:45:31 | INFO | Train Epoch: 0 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 2.6912 (3.7068) Boundary_loss: 0.013573 (0.017918) Loss: 2.7048 (3.7247) +2025-08-20,18:46:37 | INFO | Train Epoch: 0 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 2.7577 (3.6997) Boundary_loss: 0.013689 (0.017886) Loss: 2.7714 (3.7176) +2025-08-20,18:47:42 | INFO | Train Epoch: 0 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 2.8045 (3.6931) Boundary_loss: 0.013538 (0.017854) Loss: 2.8181 (3.7109) +2025-08-20,18:48:48 | INFO | Train Epoch: 0 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.846 Boundary Ratio: 0.101 Contrastive_loss: 2.7775 (3.6864) Boundary_loss: 0.013532 (0.017822) Loss: 2.7911 (3.7042) +2025-08-20,18:49:53 | INFO | Train Epoch: 0 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 2.7165 (3.6793) Boundary_loss: 0.013668 (0.017792) Loss: 2.7301 (3.6971) +2025-08-20,18:50:59 | INFO | Train Epoch: 0 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 2.7423 (3.6725) Boundary_loss: 0.013610 (0.017761) Loss: 2.7559 (3.6903) +2025-08-20,18:52:04 | INFO | Train Epoch: 0 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.752 Boundary Ratio: 0.101 Contrastive_loss: 2.8422 (3.6665) Boundary_loss: 0.013692 (0.017732) Loss: 2.8559 (3.6843) +2025-08-20,18:53:09 | INFO | Train Epoch: 0 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 2.6215 (3.6591) Boundary_loss: 0.013512 (0.017702) Loss: 2.6350 (3.6768) +2025-08-20,18:54:15 | INFO | Train Epoch: 0 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 2.7694 (3.6527) Boundary_loss: 0.013559 (0.017673) Loss: 2.7829 (3.6704) +2025-08-20,18:55:20 | INFO | Train Epoch: 0 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.656 Boundary Ratio: 0.100 Contrastive_loss: 2.6291 (3.6455) Boundary_loss: 0.013589 (0.017644) Loss: 2.6426 (3.6632) +2025-08-20,18:56:26 | INFO | Train Epoch: 0 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 2.5150 (3.6376) Boundary_loss: 0.013613 (0.017616) Loss: 2.5286 (3.6552) +2025-08-20,18:57:31 | INFO | Train Epoch: 0 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 2.6671 (3.6309) Boundary_loss: 0.013537 (0.017587) Loss: 2.6807 (3.6485) +2025-08-20,18:58:37 | INFO | Train Epoch: 0 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 18.842 Boundary Ratio: 0.096 Contrastive_loss: 2.6074 (3.6238) Boundary_loss: 0.013614 (0.017560) Loss: 2.6210 (3.6414) +2025-08-20,18:59:42 | INFO | Train Epoch: 0 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 2.7082 (3.6176) Boundary_loss: 0.013484 (0.017532) Loss: 2.7217 (3.6351) +2025-08-20,19:00:48 | INFO | Train Epoch: 0 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 2.5856 (3.6105) Boundary_loss: 0.013461 (0.017504) Loss: 2.5991 (3.6280) +2025-08-20,19:01:53 | INFO | Train Epoch: 0 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 18.605 Boundary Ratio: 0.095 Contrastive_loss: 2.5986 (3.6037) Boundary_loss: 0.013720 (0.017479) Loss: 2.6123 (3.6212) +2025-08-20,19:02:59 | INFO | Train Epoch: 0 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 2.5352 (3.5965) Boundary_loss: 0.013584 (0.017453) Loss: 2.5488 (3.6140) +2025-08-20,19:04:04 | INFO | Train Epoch: 0 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 2.6667 (3.5903) Boundary_loss: 0.013484 (0.017426) Loss: 2.6802 (3.6078) +2025-08-20,19:05:10 | INFO | Train Epoch: 0 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 2.6192 (3.5839) Boundary_loss: 0.013616 (0.017401) Loss: 2.6328 (3.6013) +2025-08-20,19:06:15 | INFO | Train Epoch: 0 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 2.5474 (3.5771) Boundary_loss: 0.013619 (0.017376) Loss: 2.5610 (3.5945) +2025-08-20,19:07:21 | INFO | Train Epoch: 0 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 2.5721 (3.5705) Boundary_loss: 0.013639 (0.017352) Loss: 2.5857 (3.5879) +2025-08-20,19:08:26 | INFO | Train Epoch: 0 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.764 Boundary Ratio: 0.101 Contrastive_loss: 2.7466 (3.5652) Boundary_loss: 0.013593 (0.017327) Loss: 2.7602 (3.5825) +2025-08-20,19:09:32 | INFO | Train Epoch: 0 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 18.869 Boundary Ratio: 0.096 Contrastive_loss: 2.7004 (3.5596) Boundary_loss: 0.013566 (0.017303) Loss: 2.7139 (3.5769) +2025-08-20,19:10:37 | INFO | Train Epoch: 0 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.807 Boundary Ratio: 0.101 Contrastive_loss: 2.5553 (3.5531) Boundary_loss: 0.013876 (0.017281) Loss: 2.5692 (3.5704) +2025-08-20,19:11:43 | INFO | Train Epoch: 0 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 2.8510 (3.5487) Boundary_loss: 0.013585 (0.017257) Loss: 2.8645 (3.5659) +2025-08-20,19:12:48 | INFO | Train Epoch: 0 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 2.5340 (3.5423) Boundary_loss: 0.013537 (0.017234) Loss: 2.5475 (3.5595) +2025-08-20,19:13:53 | INFO | Train Epoch: 0 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 2.5870 (3.5362) Boundary_loss: 0.013491 (0.017210) Loss: 2.6005 (3.5535) +2025-08-20,19:14:59 | INFO | Train Epoch: 0 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 2.2858 (3.5284) Boundary_loss: 0.013521 (0.017187) Loss: 2.2993 (3.5456) +2025-08-20,19:16:04 | INFO | Train Epoch: 0 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.793 Boundary Ratio: 0.101 Contrastive_loss: 2.4469 (3.5217) Boundary_loss: 0.013628 (0.017165) Loss: 2.4605 (3.5389) +2025-08-20,19:17:10 | INFO | Train Epoch: 0 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 2.4518 (3.5151) Boundary_loss: 0.013657 (0.017144) Loss: 2.4654 (3.5323) +2025-08-20,19:18:15 | INFO | Train Epoch: 0 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.688 Boundary Ratio: 0.100 Contrastive_loss: 2.4567 (3.5086) Boundary_loss: 0.013665 (0.017122) Loss: 2.4704 (3.5257) +2025-08-20,19:19:21 | INFO | Train Epoch: 0 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 2.5684 (3.5029) Boundary_loss: 0.013563 (0.017101) Loss: 2.5820 (3.5200) +2025-08-20,19:20:26 | INFO | Train Epoch: 0 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 18.756 Boundary Ratio: 0.096 Contrastive_loss: 2.4728 (3.4966) Boundary_loss: 0.013463 (0.017078) Loss: 2.4863 (3.5137) +2025-08-20,19:21:32 | INFO | Train Epoch: 0 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 2.3569 (3.4898) Boundary_loss: 0.013362 (0.017056) Loss: 2.3703 (3.5068) +2025-08-20,19:22:37 | INFO | Train Epoch: 0 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.760 Boundary Ratio: 0.101 Contrastive_loss: 2.5754 (3.4843) Boundary_loss: 0.013366 (0.017034) Loss: 2.5888 (3.5013) +2025-08-20,19:23:43 | INFO | Train Epoch: 0 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 2.5612 (3.4788) Boundary_loss: 0.013570 (0.017013) Loss: 2.5748 (3.4958) +2025-08-20,19:24:48 | INFO | Train Epoch: 0 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 2.5631 (3.4734) Boundary_loss: 0.013627 (0.016993) Loss: 2.5767 (3.4904) +2025-08-20,19:25:54 | INFO | Train Epoch: 0 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.588 Boundary Ratio: 0.100 Contrastive_loss: 2.4994 (3.4677) Boundary_loss: 0.013746 (0.016974) Loss: 2.5132 (3.4846) +2025-08-20,19:26:59 | INFO | Train Epoch: 0 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 2.4813 (3.4619) Boundary_loss: 0.013427 (0.016953) Loss: 2.4947 (3.4788) +2025-08-20,19:28:04 | INFO | Train Epoch: 0 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.699 Boundary Ratio: 0.101 Contrastive_loss: 2.3526 (3.4554) Boundary_loss: 0.013482 (0.016933) Loss: 2.3661 (3.4724) +2025-08-20,19:29:10 | INFO | Train Epoch: 0 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 2.3686 (3.4492) Boundary_loss: 0.013442 (0.016913) Loss: 2.3820 (3.4661) +2025-08-20,19:30:15 | INFO | Train Epoch: 0 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 18.398 Boundary Ratio: 0.094 Contrastive_loss: 2.4062 (3.4432) Boundary_loss: 0.013733 (0.016895) Loss: 2.4200 (3.4601) +2025-08-20,19:31:20 | INFO | Train Epoch: 0 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 18.873 Boundary Ratio: 0.096 Contrastive_loss: 2.5241 (3.4379) Boundary_loss: 0.013490 (0.016875) Loss: 2.5376 (3.4548) +2025-08-20,19:32:26 | INFO | Train Epoch: 0 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 2.4394 (3.4322) Boundary_loss: 0.013533 (0.016856) Loss: 2.4529 (3.4491) +2025-08-20,19:33:31 | INFO | Train Epoch: 0 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.592 Boundary Ratio: 0.100 Contrastive_loss: 2.3837 (3.4263) Boundary_loss: 0.013494 (0.016837) Loss: 2.3972 (3.4432) +2025-08-20,19:34:37 | INFO | Train Epoch: 0 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 20.129 Boundary Ratio: 0.103 Contrastive_loss: 2.4439 (3.4208) Boundary_loss: 0.013583 (0.016819) Loss: 2.4575 (3.4376) +2025-08-20,19:35:42 | INFO | Train Epoch: 0 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 2.4078 (3.4151) Boundary_loss: 0.013555 (0.016801) Loss: 2.4214 (3.4319) +2025-08-20,19:36:48 | INFO | Train Epoch: 0 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 2.4720 (3.4099) Boundary_loss: 0.013426 (0.016782) Loss: 2.4855 (3.4267) +2025-08-20,19:37:53 | INFO | Train Epoch: 0 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 18.773 Boundary Ratio: 0.096 Contrastive_loss: 2.4263 (3.4045) Boundary_loss: 0.013728 (0.016765) Loss: 2.4401 (3.4212) +2025-08-20,19:38:59 | INFO | Train Epoch: 0 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 2.4262 (3.3991) Boundary_loss: 0.013576 (0.016748) Loss: 2.4398 (3.4158) +2025-08-20,19:40:04 | INFO | Train Epoch: 0 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 18.855 Boundary Ratio: 0.096 Contrastive_loss: 2.4216 (3.3937) Boundary_loss: 0.013523 (0.016730) Loss: 2.4351 (3.4105) +2025-08-20,19:41:09 | INFO | Train Epoch: 0 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 18.930 Boundary Ratio: 0.097 Contrastive_loss: 2.4067 (3.3884) Boundary_loss: 0.013639 (0.016713) Loss: 2.4204 (3.4051) +2025-08-20,19:42:15 | INFO | Train Epoch: 0 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 2.3508 (3.3828) Boundary_loss: 0.013555 (0.016696) Loss: 2.3644 (3.3995) +2025-08-20,19:43:20 | INFO | Train Epoch: 0 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 20.234 Boundary Ratio: 0.103 Contrastive_loss: 2.3988 (3.3775) Boundary_loss: 0.013713 (0.016680) Loss: 2.4126 (3.3942) +2025-08-20,19:44:26 | INFO | Train Epoch: 0 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 18.977 Boundary Ratio: 0.097 Contrastive_loss: 2.5443 (3.3730) Boundary_loss: 0.013477 (0.016663) Loss: 2.5578 (3.3897) +2025-08-20,19:45:31 | INFO | Train Epoch: 0 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 2.3722 (3.3677) Boundary_loss: 0.013521 (0.016646) Loss: 2.3858 (3.3844) +2025-08-20,19:46:36 | INFO | Train Epoch: 0 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 2.3743 (3.3624) Boundary_loss: 0.013461 (0.016630) Loss: 2.3877 (3.3791) +2025-08-20,19:47:42 | INFO | Train Epoch: 0 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 18.715 Boundary Ratio: 0.095 Contrastive_loss: 2.2589 (3.3566) Boundary_loss: 0.013604 (0.016614) Loss: 2.2725 (3.3733) +2025-08-20,19:48:47 | INFO | Train Epoch: 0 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.955 Boundary Ratio: 0.102 Contrastive_loss: 2.4597 (3.3519) Boundary_loss: 0.013585 (0.016598) Loss: 2.4733 (3.3685) +2025-08-20,19:49:53 | INFO | Train Epoch: 0 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 2.3856 (3.3469) Boundary_loss: 0.013411 (0.016581) Loss: 2.3990 (3.3635) +2025-08-20,19:50:58 | INFO | Train Epoch: 0 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 2.4735 (3.3424) Boundary_loss: 0.013471 (0.016565) Loss: 2.4869 (3.3590) +2025-08-20,19:52:04 | INFO | Train Epoch: 0 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 2.4016 (3.3375) Boundary_loss: 0.013531 (0.016549) Loss: 2.4151 (3.3541) +2025-08-20,19:53:09 | INFO | Train Epoch: 0 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 2.3367 (3.3324) Boundary_loss: 0.013384 (0.016533) Loss: 2.3500 (3.3489) +2025-08-20,19:54:14 | INFO | Train Epoch: 0 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.754 Boundary Ratio: 0.101 Contrastive_loss: 2.3904 (3.3276) Boundary_loss: 0.013595 (0.016518) Loss: 2.4039 (3.3441) +2025-08-20,19:55:20 | INFO | Train Epoch: 0 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 2.3466 (3.3226) Boundary_loss: 0.013575 (0.016503) Loss: 2.3602 (3.3391) +2025-08-20,19:56:25 | INFO | Train Epoch: 0 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 2.5574 (3.3188) Boundary_loss: 0.013532 (0.016488) Loss: 2.5710 (3.3352) +2025-08-20,19:57:31 | INFO | Train Epoch: 0 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 2.3153 (3.3137) Boundary_loss: 0.013503 (0.016473) Loss: 2.3288 (3.3302) +2025-08-20,19:58:36 | INFO | Train Epoch: 0 [10189312/26365952 (39%)] Avg Boundaries (per batch): 18.805 Boundary Ratio: 0.096 Contrastive_loss: 2.3959 (3.3091) Boundary_loss: 0.013432 (0.016458) Loss: 2.4093 (3.3256) +2025-08-20,19:59:41 | INFO | Train Epoch: 0 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 2.4089 (3.3046) Boundary_loss: 0.013433 (0.016443) Loss: 2.4223 (3.3211) +2025-08-20,20:00:47 | INFO | Train Epoch: 0 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 2.2321 (3.2993) Boundary_loss: 0.013551 (0.016429) Loss: 2.2457 (3.3158) +2025-08-20,20:01:52 | INFO | Train Epoch: 0 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 2.4543 (3.2952) Boundary_loss: 0.013555 (0.016414) Loss: 2.4678 (3.3116) +2025-08-20,20:02:57 | INFO | Train Epoch: 0 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.916 Boundary Ratio: 0.102 Contrastive_loss: 2.3209 (3.2904) Boundary_loss: 0.013568 (0.016401) Loss: 2.3344 (3.3068) +2025-08-20,20:04:03 | INFO | Train Epoch: 0 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.738 Boundary Ratio: 0.101 Contrastive_loss: 2.4227 (3.2862) Boundary_loss: 0.013575 (0.016387) Loss: 2.4363 (3.3025) +2025-08-20,20:05:08 | INFO | Train Epoch: 0 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 2.2178 (3.2810) Boundary_loss: 0.013596 (0.016373) Loss: 2.2314 (3.2973) +2025-08-20,20:06:14 | INFO | Train Epoch: 0 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 2.2554 (3.2760) Boundary_loss: 0.013618 (0.016360) Loss: 2.2690 (3.2924) +2025-08-20,20:07:19 | INFO | Train Epoch: 0 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 2.3816 (3.2717) Boundary_loss: 0.013434 (0.016346) Loss: 2.3950 (3.2881) +2025-08-20,20:08:24 | INFO | Train Epoch: 0 [10650112/26365952 (40%)] Avg Boundaries (per batch): 18.684 Boundary Ratio: 0.095 Contrastive_loss: 2.4563 (3.2678) Boundary_loss: 0.013546 (0.016332) Loss: 2.4698 (3.2842) +2025-08-20,20:09:30 | INFO | Train Epoch: 0 [10701312/26365952 (41%)] Avg Boundaries (per batch): 18.652 Boundary Ratio: 0.095 Contrastive_loss: 2.4109 (3.2637) Boundary_loss: 0.013440 (0.016319) Loss: 2.4244 (3.2801) +2025-08-20,20:10:35 | INFO | Train Epoch: 0 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 2.2637 (3.2590) Boundary_loss: 0.013444 (0.016305) Loss: 2.2772 (3.2753) +2025-08-20,20:11:41 | INFO | Train Epoch: 0 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 2.2806 (3.2544) Boundary_loss: 0.013468 (0.016292) Loss: 2.2941 (3.2707) +2025-08-20,20:12:46 | INFO | Train Epoch: 0 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 2.2322 (3.2496) Boundary_loss: 0.013496 (0.016279) Loss: 2.2457 (3.2659) +2025-08-20,20:13:51 | INFO | Train Epoch: 0 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 2.0260 (3.2439) Boundary_loss: 0.013373 (0.016265) Loss: 2.0394 (3.2601) +2025-08-20,20:14:57 | INFO | Train Epoch: 0 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 2.0853 (3.2385) Boundary_loss: 0.013520 (0.016252) Loss: 2.0988 (3.2547) +2025-08-20,20:16:02 | INFO | Train Epoch: 0 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 2.2721 (3.2340) Boundary_loss: 0.013411 (0.016239) Loss: 2.2855 (3.2502) +2025-08-20,20:17:08 | INFO | Train Epoch: 0 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 2.4276 (3.2303) Boundary_loss: 0.013599 (0.016227) Loss: 2.4412 (3.2465) +2025-08-20,20:18:13 | INFO | Train Epoch: 0 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 2.3242 (3.2261) Boundary_loss: 0.013475 (0.016214) Loss: 2.3377 (3.2423) +2025-08-20,20:19:18 | INFO | Train Epoch: 0 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 2.1764 (3.2213) Boundary_loss: 0.013564 (0.016202) Loss: 2.1899 (3.2375) +2025-08-20,20:20:24 | INFO | Train Epoch: 0 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 2.2659 (3.2170) Boundary_loss: 0.013343 (0.016189) Loss: 2.2793 (3.2332) +2025-08-20,20:21:29 | INFO | Train Epoch: 0 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 2.0320 (3.2116) Boundary_loss: 0.013538 (0.016177) Loss: 2.0455 (3.2278) +2025-08-20,20:22:35 | INFO | Train Epoch: 0 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.574 Boundary Ratio: 0.100 Contrastive_loss: 2.0094 (3.2062) Boundary_loss: 0.013456 (0.016165) Loss: 2.0228 (3.2224) +2025-08-20,20:23:40 | INFO | Train Epoch: 0 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 2.2647 (3.2020) Boundary_loss: 0.013437 (0.016153) Loss: 2.2781 (3.2181) +2025-08-20,20:24:46 | INFO | Train Epoch: 0 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 2.2321 (3.1977) Boundary_loss: 0.013459 (0.016141) Loss: 2.2456 (3.2138) +2025-08-20,20:25:51 | INFO | Train Epoch: 0 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.631 Boundary Ratio: 0.100 Contrastive_loss: 2.1015 (3.1928) Boundary_loss: 0.013495 (0.016129) Loss: 2.1150 (3.2089) +2025-08-20,20:26:56 | INFO | Train Epoch: 0 [11520512/26365952 (44%)] Avg Boundaries (per batch): 18.811 Boundary Ratio: 0.096 Contrastive_loss: 2.0283 (3.1876) Boundary_loss: 0.013428 (0.016117) Loss: 2.0417 (3.2038) +2025-08-20,20:28:02 | INFO | Train Epoch: 0 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 2.2177 (3.1834) Boundary_loss: 0.013584 (0.016106) Loss: 2.2313 (3.1995) +2025-08-20,20:29:07 | INFO | Train Epoch: 0 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 2.1659 (3.1789) Boundary_loss: 0.013559 (0.016095) Loss: 2.1795 (3.1950) +2025-08-20,20:30:13 | INFO | Train Epoch: 0 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 2.2067 (3.1747) Boundary_loss: 0.013346 (0.016083) Loss: 2.2200 (3.1907) +2025-08-20,20:31:18 | INFO | Train Epoch: 0 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 2.1668 (3.1703) Boundary_loss: 0.013475 (0.016071) Loss: 2.1803 (3.1864) +2025-08-20,20:32:23 | INFO | Train Epoch: 0 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 2.2586 (3.1663) Boundary_loss: 0.013425 (0.016060) Loss: 2.2720 (3.1824) +2025-08-20,20:33:29 | INFO | Train Epoch: 0 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 2.1330 (3.1619) Boundary_loss: 0.013460 (0.016049) Loss: 2.1465 (3.1779) +2025-08-20,20:34:34 | INFO | Train Epoch: 0 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 2.1866 (3.1577) Boundary_loss: 0.013493 (0.016038) Loss: 2.2001 (3.1737) +2025-08-20,20:35:40 | INFO | Train Epoch: 0 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 2.2636 (3.1539) Boundary_loss: 0.013448 (0.016027) Loss: 2.2771 (3.1699) +2025-08-20,20:36:45 | INFO | Train Epoch: 0 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 2.0929 (3.1494) Boundary_loss: 0.013461 (0.016016) Loss: 2.1064 (3.1654) +2025-08-20,20:37:50 | INFO | Train Epoch: 0 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 2.1997 (3.1453) Boundary_loss: 0.013430 (0.016005) Loss: 2.2131 (3.1613) +2025-08-20,20:38:56 | INFO | Train Epoch: 0 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 1.9386 (3.1402) Boundary_loss: 0.013379 (0.015994) Loss: 1.9519 (3.1562) +2025-08-20,20:40:01 | INFO | Train Epoch: 0 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 2.0902 (3.1358) Boundary_loss: 0.013540 (0.015983) Loss: 2.1038 (3.1518) +2025-08-20,20:41:07 | INFO | Train Epoch: 0 [12186112/26365952 (46%)] Avg Boundaries (per batch): 18.951 Boundary Ratio: 0.097 Contrastive_loss: 2.1486 (3.1317) Boundary_loss: 0.013354 (0.015972) Loss: 2.1620 (3.1477) +2025-08-20,20:42:12 | INFO | Train Epoch: 0 [12237312/26365952 (46%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 2.0925 (3.1274) Boundary_loss: 0.013546 (0.015962) Loss: 2.1060 (3.1433) +2025-08-20,20:43:17 | INFO | Train Epoch: 0 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 2.1796 (3.1234) Boundary_loss: 0.013295 (0.015951) Loss: 2.1929 (3.1394) +2025-08-20,20:44:23 | INFO | Train Epoch: 0 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 2.2338 (3.1198) Boundary_loss: 0.013396 (0.015941) Loss: 2.2472 (3.1357) +2025-08-20,20:45:28 | INFO | Train Epoch: 0 [12390912/26365952 (47%)] Avg Boundaries (per batch): 18.854 Boundary Ratio: 0.096 Contrastive_loss: 2.0071 (3.1152) Boundary_loss: 0.013316 (0.015930) Loss: 2.0205 (3.1311) +2025-08-20,20:46:33 | INFO | Train Epoch: 0 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 2.3861 (3.1122) Boundary_loss: 0.013422 (0.015919) Loss: 2.3995 (3.1281) +2025-08-20,20:47:39 | INFO | Train Epoch: 0 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.822 Boundary Ratio: 0.101 Contrastive_loss: 2.1542 (3.1083) Boundary_loss: 0.013570 (0.015910) Loss: 2.1678 (3.1242) +2025-08-20,20:48:44 | INFO | Train Epoch: 0 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 2.2341 (3.1047) Boundary_loss: 0.013410 (0.015900) Loss: 2.2475 (3.1206) +2025-08-20,20:49:49 | INFO | Train Epoch: 0 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.674 Boundary Ratio: 0.100 Contrastive_loss: 2.1455 (3.1008) Boundary_loss: 0.013449 (0.015890) Loss: 2.1589 (3.1167) +2025-08-20,20:50:55 | INFO | Train Epoch: 0 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 2.1200 (3.0969) Boundary_loss: 0.013458 (0.015880) Loss: 2.1334 (3.1128) +2025-08-20,20:52:00 | INFO | Train Epoch: 0 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 2.0336 (3.0926) Boundary_loss: 0.013507 (0.015870) Loss: 2.0471 (3.1085) +2025-08-20,20:53:06 | INFO | Train Epoch: 0 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 1.9736 (3.0881) Boundary_loss: 0.013441 (0.015861) Loss: 1.9871 (3.1040) +2025-08-20,20:54:11 | INFO | Train Epoch: 0 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 1.9263 (3.0835) Boundary_loss: 0.013284 (0.015850) Loss: 1.9396 (3.0994) +2025-08-20,20:55:16 | INFO | Train Epoch: 0 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 2.1789 (3.0799) Boundary_loss: 0.013423 (0.015841) Loss: 2.1924 (3.0958) +2025-08-20,20:56:22 | INFO | Train Epoch: 0 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 2.2277 (3.0766) Boundary_loss: 0.013417 (0.015831) Loss: 2.2411 (3.0924) +2025-08-20,20:57:27 | INFO | Train Epoch: 0 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 2.1633 (3.0730) Boundary_loss: 0.013614 (0.015823) Loss: 2.1769 (3.0888) +2025-08-20,20:58:33 | INFO | Train Epoch: 0 [13005312/26365952 (49%)] Avg Boundaries (per batch): 18.795 Boundary Ratio: 0.096 Contrastive_loss: 2.1978 (3.0695) Boundary_loss: 0.013418 (0.015813) Loss: 2.2112 (3.0853) +2025-08-20,20:59:38 | INFO | Train Epoch: 0 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 1.9745 (3.0653) Boundary_loss: 0.013449 (0.015804) Loss: 1.9880 (3.0811) +2025-08-20,21:00:43 | INFO | Train Epoch: 0 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 2.1428 (3.0617) Boundary_loss: 0.013562 (0.015795) Loss: 2.1563 (3.0775) +2025-08-20,21:01:49 | INFO | Train Epoch: 0 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 2.1628 (3.0582) Boundary_loss: 0.013339 (0.015786) Loss: 2.1761 (3.0740) +2025-08-20,21:02:54 | INFO | Train Epoch: 0 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 2.0606 (3.0543) Boundary_loss: 0.013553 (0.015777) Loss: 2.0741 (3.0701) +2025-08-20,21:04:00 | INFO | Train Epoch: 0 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.703 Boundary Ratio: 0.101 Contrastive_loss: 2.0642 (3.0505) Boundary_loss: 0.013345 (0.015768) Loss: 2.0776 (3.0663) +2025-08-20,21:05:05 | INFO | Train Epoch: 0 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 2.1045 (3.0469) Boundary_loss: 0.013288 (0.015758) Loss: 2.1178 (3.0627) +2025-08-20,21:06:10 | INFO | Train Epoch: 0 [13363712/26365952 (51%)] Avg Boundaries (per batch): 18.961 Boundary Ratio: 0.097 Contrastive_loss: 2.1197 (3.0434) Boundary_loss: 0.013468 (0.015749) Loss: 2.1332 (3.0591) +2025-08-20,21:07:16 | INFO | Train Epoch: 0 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 2.1127 (3.0398) Boundary_loss: 0.013496 (0.015741) Loss: 2.1262 (3.0556) +2025-08-20,21:08:21 | INFO | Train Epoch: 0 [13466112/26365952 (51%)] Avg Boundaries (per batch): 20.053 Boundary Ratio: 0.102 Contrastive_loss: 2.0598 (3.0361) Boundary_loss: 0.013617 (0.015733) Loss: 2.0734 (3.0518) +2025-08-20,21:09:26 | INFO | Train Epoch: 0 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 2.0832 (3.0325) Boundary_loss: 0.013436 (0.015724) Loss: 2.0967 (3.0482) +2025-08-20,21:10:32 | INFO | Train Epoch: 0 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 2.2423 (3.0295) Boundary_loss: 0.013470 (0.015716) Loss: 2.2558 (3.0453) +2025-08-20,21:11:37 | INFO | Train Epoch: 0 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 1.9391 (3.0255) Boundary_loss: 0.013561 (0.015708) Loss: 1.9527 (3.0412) +2025-08-20,21:12:42 | INFO | Train Epoch: 0 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 2.0605 (3.0219) Boundary_loss: 0.013331 (0.015699) Loss: 2.0739 (3.0376) +2025-08-20,21:13:48 | INFO | Train Epoch: 0 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 2.0315 (3.0182) Boundary_loss: 0.013258 (0.015690) Loss: 2.0448 (3.0339) +2025-08-20,21:14:53 | INFO | Train Epoch: 0 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 2.0215 (3.0145) Boundary_loss: 0.013245 (0.015681) Loss: 2.0347 (3.0302) +2025-08-20,21:15:59 | INFO | Train Epoch: 0 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 2.0632 (3.0110) Boundary_loss: 0.013371 (0.015672) Loss: 2.0766 (3.0266) +2025-08-20,21:17:04 | INFO | Train Epoch: 0 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 2.2193 (3.0081) Boundary_loss: 0.013313 (0.015663) Loss: 2.2326 (3.0237) +2025-08-20,21:18:09 | INFO | Train Epoch: 0 [13926912/26365952 (53%)] Avg Boundaries (per batch): 18.818 Boundary Ratio: 0.096 Contrastive_loss: 1.9129 (3.0040) Boundary_loss: 0.013295 (0.015655) Loss: 1.9262 (3.0197) +2025-08-20,21:19:15 | INFO | Train Epoch: 0 [13978112/26365952 (53%)] Avg Boundaries (per batch): 18.363 Boundary Ratio: 0.094 Contrastive_loss: 2.0280 (3.0005) Boundary_loss: 0.013337 (0.015646) Loss: 2.0414 (3.0161) +2025-08-20,21:20:20 | INFO | Train Epoch: 0 [14029312/26365952 (53%)] Avg Boundaries (per batch): 18.635 Boundary Ratio: 0.095 Contrastive_loss: 2.1025 (2.9972) Boundary_loss: 0.013324 (0.015638) Loss: 2.1158 (3.0129) +2025-08-20,21:21:25 | INFO | Train Epoch: 0 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 1.9570 (2.9935) Boundary_loss: 0.013258 (0.015629) Loss: 1.9703 (3.0091) +2025-08-20,21:22:31 | INFO | Train Epoch: 0 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 2.1498 (2.9904) Boundary_loss: 0.013334 (0.015621) Loss: 2.1631 (3.0060) +2025-08-20,21:23:36 | INFO | Train Epoch: 0 [14182912/26365952 (54%)] Avg Boundaries (per batch): 18.838 Boundary Ratio: 0.096 Contrastive_loss: 1.9572 (2.9867) Boundary_loss: 0.013590 (0.015614) Loss: 1.9708 (3.0023) +2025-08-20,21:24:42 | INFO | Train Epoch: 0 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.664 Boundary Ratio: 0.100 Contrastive_loss: 1.9801 (2.9831) Boundary_loss: 0.013397 (0.015606) Loss: 1.9935 (2.9987) +2025-08-20,21:25:47 | INFO | Train Epoch: 0 [14285312/26365952 (54%)] Avg Boundaries (per batch): 18.848 Boundary Ratio: 0.096 Contrastive_loss: 1.8839 (2.9792) Boundary_loss: 0.013242 (0.015597) Loss: 1.8971 (2.9948) +2025-08-20,21:26:52 | INFO | Train Epoch: 0 [14336512/26365952 (54%)] Avg Boundaries (per batch): 20.051 Boundary Ratio: 0.102 Contrastive_loss: 2.0470 (2.9758) Boundary_loss: 0.013664 (0.015590) Loss: 2.0606 (2.9914) +2025-08-20,21:27:58 | INFO | Train Epoch: 0 [14387712/26365952 (55%)] Avg Boundaries (per batch): 18.666 Boundary Ratio: 0.095 Contrastive_loss: 2.1444 (2.9729) Boundary_loss: 0.013349 (0.015582) Loss: 2.1577 (2.9885) +2025-08-20,21:29:03 | INFO | Train Epoch: 0 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.668 Boundary Ratio: 0.100 Contrastive_loss: 2.0194 (2.9695) Boundary_loss: 0.013220 (0.015574) Loss: 2.0326 (2.9851) +2025-08-20,21:30:08 | INFO | Train Epoch: 0 [14490112/26365952 (55%)] Avg Boundaries (per batch): 20.049 Boundary Ratio: 0.102 Contrastive_loss: 2.0415 (2.9663) Boundary_loss: 0.013587 (0.015567) Loss: 2.0551 (2.9818) +2025-08-20,21:31:14 | INFO | Train Epoch: 0 [14541312/26365952 (55%)] Avg Boundaries (per batch): 18.887 Boundary Ratio: 0.096 Contrastive_loss: 2.0191 (2.9629) Boundary_loss: 0.013361 (0.015559) Loss: 2.0325 (2.9785) +2025-08-20,21:32:19 | INFO | Train Epoch: 0 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.727 Boundary Ratio: 0.101 Contrastive_loss: 2.2229 (2.9603) Boundary_loss: 0.013341 (0.015552) Loss: 2.2363 (2.9759) +2025-08-20,21:33:24 | INFO | Train Epoch: 0 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 2.0818 (2.9573) Boundary_loss: 0.013210 (0.015543) Loss: 2.0950 (2.9728) +2025-08-20,21:34:30 | INFO | Train Epoch: 0 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 2.0780 (2.9542) Boundary_loss: 0.013510 (0.015536) Loss: 2.0915 (2.9698) +2025-08-20,21:35:35 | INFO | Train Epoch: 0 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 1.9540 (2.9508) Boundary_loss: 0.013352 (0.015529) Loss: 1.9673 (2.9663) +2025-08-20,21:36:41 | INFO | Train Epoch: 0 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 1.8175 (2.9469) Boundary_loss: 0.013464 (0.015522) Loss: 1.8310 (2.9624) +2025-08-20,21:37:46 | INFO | Train Epoch: 0 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 2.1184 (2.9440) Boundary_loss: 0.013389 (0.015514) Loss: 2.1318 (2.9595) +2025-08-20,21:38:51 | INFO | Train Epoch: 0 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 1.8571 (2.9403) Boundary_loss: 0.013280 (0.015507) Loss: 1.8704 (2.9558) +2025-08-20,21:39:57 | INFO | Train Epoch: 0 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 1.9706 (2.9370) Boundary_loss: 0.013331 (0.015499) Loss: 1.9839 (2.9525) +2025-08-20,21:41:02 | INFO | Train Epoch: 0 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 1.9776 (2.9337) Boundary_loss: 0.013394 (0.015492) Loss: 1.9910 (2.9492) +2025-08-20,21:42:07 | INFO | Train Epoch: 0 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 1.8547 (2.9301) Boundary_loss: 0.013389 (0.015485) Loss: 1.8681 (2.9455) +2025-08-20,21:43:13 | INFO | Train Epoch: 0 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 2.0007 (2.9269) Boundary_loss: 0.013382 (0.015478) Loss: 2.0140 (2.9424) +2025-08-20,21:44:18 | INFO | Train Epoch: 0 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 1.9010 (2.9235) Boundary_loss: 0.013309 (0.015471) Loss: 1.9143 (2.9389) +2025-08-20,21:45:23 | INFO | Train Epoch: 0 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 1.9777 (2.9203) Boundary_loss: 0.013354 (0.015463) Loss: 1.9911 (2.9358) +2025-08-20,21:46:29 | INFO | Train Epoch: 0 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.689 Boundary Ratio: 0.100 Contrastive_loss: 1.7676 (2.9164) Boundary_loss: 0.013275 (0.015456) Loss: 1.7809 (2.9319) +2025-08-20,21:47:34 | INFO | Train Epoch: 0 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 1.9676 (2.9133) Boundary_loss: 0.013357 (0.015449) Loss: 1.9810 (2.9287) +2025-08-20,21:48:40 | INFO | Train Epoch: 0 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 1.9416 (2.9100) Boundary_loss: 0.013431 (0.015442) Loss: 1.9550 (2.9255) +2025-08-20,21:49:45 | INFO | Train Epoch: 0 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 2.0379 (2.9072) Boundary_loss: 0.013445 (0.015436) Loss: 2.0514 (2.9226) +2025-08-20,21:50:50 | INFO | Train Epoch: 0 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 1.9089 (2.9039) Boundary_loss: 0.013453 (0.015429) Loss: 1.9223 (2.9193) +2025-08-20,21:51:56 | INFO | Train Epoch: 0 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 2.0753 (2.9011) Boundary_loss: 0.013609 (0.015423) Loss: 2.0889 (2.9166) +2025-08-20,21:53:01 | INFO | Train Epoch: 0 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 1.9645 (2.8981) Boundary_loss: 0.013356 (0.015417) Loss: 1.9778 (2.9135) +2025-08-20,21:54:06 | INFO | Train Epoch: 0 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.766 Boundary Ratio: 0.101 Contrastive_loss: 1.8644 (2.8947) Boundary_loss: 0.013235 (0.015409) Loss: 1.8776 (2.9101) +2025-08-20,21:55:11 | INFO | Train Epoch: 0 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.711 Boundary Ratio: 0.101 Contrastive_loss: 1.8054 (2.8911) Boundary_loss: 0.013241 (0.015402) Loss: 1.8187 (2.9065) +2025-08-20,21:56:17 | INFO | Train Epoch: 0 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.896 Boundary Ratio: 0.102 Contrastive_loss: 1.9341 (2.8880) Boundary_loss: 0.013396 (0.015396) Loss: 1.9475 (2.9034) +2025-08-20,21:57:22 | INFO | Train Epoch: 0 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 2.0070 (2.8852) Boundary_loss: 0.013342 (0.015389) Loss: 2.0203 (2.9006) +2025-08-20,21:58:27 | INFO | Train Epoch: 0 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 1.9559 (2.8822) Boundary_loss: 0.013303 (0.015382) Loss: 1.9692 (2.8976) +2025-08-20,21:59:33 | INFO | Train Epoch: 0 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 1.8787 (2.8790) Boundary_loss: 0.013333 (0.015376) Loss: 1.8920 (2.8943) +2025-08-20,22:00:38 | INFO | Train Epoch: 0 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 1.9191 (2.8759) Boundary_loss: 0.013255 (0.015369) Loss: 1.9324 (2.8913) +2025-08-20,22:01:44 | INFO | Train Epoch: 0 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 1.7970 (2.8724) Boundary_loss: 0.013409 (0.015363) Loss: 1.8104 (2.8878) +2025-08-20,22:02:49 | INFO | Train Epoch: 0 [16026112/26365952 (61%)] Avg Boundaries (per batch): 18.980 Boundary Ratio: 0.097 Contrastive_loss: 2.0635 (2.8699) Boundary_loss: 0.013261 (0.015356) Loss: 2.0768 (2.8852) +2025-08-20,22:03:54 | INFO | Train Epoch: 0 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 2.0781 (2.8673) Boundary_loss: 0.013230 (0.015349) Loss: 2.0913 (2.8827) +2025-08-20,22:05:00 | INFO | Train Epoch: 0 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 2.1298 (2.8650) Boundary_loss: 0.013394 (0.015343) Loss: 2.1432 (2.8804) +2025-08-20,22:06:05 | INFO | Train Epoch: 0 [16179712/26365952 (61%)] Avg Boundaries (per batch): 18.877 Boundary Ratio: 0.096 Contrastive_loss: 1.8055 (2.8617) Boundary_loss: 0.013361 (0.015337) Loss: 1.8188 (2.8770) +2025-08-20,22:07:10 | INFO | Train Epoch: 0 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 1.8718 (2.8586) Boundary_loss: 0.013386 (0.015331) Loss: 1.8852 (2.8739) +2025-08-20,22:08:16 | INFO | Train Epoch: 0 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 1.9138 (2.8556) Boundary_loss: 0.013153 (0.015324) Loss: 1.9270 (2.8709) +2025-08-20,22:09:21 | INFO | Train Epoch: 0 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.656 Boundary Ratio: 0.100 Contrastive_loss: 1.8842 (2.8526) Boundary_loss: 0.013339 (0.015318) Loss: 1.8975 (2.8679) +2025-08-20,22:10:26 | INFO | Train Epoch: 0 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 1.9396 (2.8497) Boundary_loss: 0.013294 (0.015311) Loss: 1.9529 (2.8650) +2025-08-20,22:11:32 | INFO | Train Epoch: 0 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 1.9322 (2.8469) Boundary_loss: 0.013484 (0.015306) Loss: 1.9457 (2.8622) +2025-08-20,22:12:37 | INFO | Train Epoch: 0 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 1.9082 (2.8440) Boundary_loss: 0.013518 (0.015300) Loss: 1.9218 (2.8593) +2025-08-20,22:13:42 | INFO | Train Epoch: 0 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 2.0642 (2.8416) Boundary_loss: 0.013374 (0.015294) Loss: 2.0776 (2.8568) +2025-08-20,22:14:48 | INFO | Train Epoch: 0 [16589312/26365952 (63%)] Avg Boundaries (per batch): 18.770 Boundary Ratio: 0.096 Contrastive_loss: 1.9158 (2.8387) Boundary_loss: 0.013395 (0.015288) Loss: 1.9292 (2.8540) +2025-08-20,22:15:53 | INFO | Train Epoch: 0 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 2.0093 (2.8362) Boundary_loss: 0.013322 (0.015282) Loss: 2.0226 (2.8514) +2025-08-20,22:16:58 | INFO | Train Epoch: 0 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 1.8959 (2.8333) Boundary_loss: 0.013485 (0.015277) Loss: 1.9094 (2.8486) +2025-08-20,22:18:04 | INFO | Train Epoch: 0 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 2.0155 (2.8308) Boundary_loss: 0.013329 (0.015271) Loss: 2.0289 (2.8461) +2025-08-20,22:19:09 | INFO | Train Epoch: 0 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 1.8570 (2.8278) Boundary_loss: 0.013255 (0.015265) Loss: 1.8703 (2.8431) +2025-08-20,22:20:14 | INFO | Train Epoch: 0 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 1.8372 (2.8248) Boundary_loss: 0.013164 (0.015258) Loss: 1.8503 (2.8401) +2025-08-20,22:21:20 | INFO | Train Epoch: 0 [16896512/26365952 (64%)] Avg Boundaries (per batch): 18.756 Boundary Ratio: 0.096 Contrastive_loss: 1.9274 (2.8221) Boundary_loss: 0.013506 (0.015253) Loss: 1.9409 (2.8374) +2025-08-20,22:22:25 | INFO | Train Epoch: 0 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 1.8348 (2.8191) Boundary_loss: 0.013294 (0.015247) Loss: 1.8481 (2.8344) +2025-08-20,22:23:30 | INFO | Train Epoch: 0 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 1.7707 (2.8160) Boundary_loss: 0.013177 (0.015241) Loss: 1.7839 (2.8312) +2025-08-20,22:24:36 | INFO | Train Epoch: 0 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 1.9076 (2.8133) Boundary_loss: 0.013495 (0.015236) Loss: 1.9211 (2.8285) +2025-08-20,22:25:41 | INFO | Train Epoch: 0 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 1.7564 (2.8101) Boundary_loss: 0.013373 (0.015230) Loss: 1.7697 (2.8254) +2025-08-20,22:26:46 | INFO | Train Epoch: 0 [17152512/26365952 (65%)] Avg Boundaries (per batch): 18.914 Boundary Ratio: 0.097 Contrastive_loss: 1.7908 (2.8071) Boundary_loss: 0.013348 (0.015225) Loss: 1.8042 (2.8223) +2025-08-20,22:27:52 | INFO | Train Epoch: 0 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 1.6426 (2.8036) Boundary_loss: 0.013330 (0.015219) Loss: 1.6559 (2.8189) +2025-08-20,22:28:57 | INFO | Train Epoch: 0 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 1.8725 (2.8009) Boundary_loss: 0.013190 (0.015213) Loss: 1.8857 (2.8161) +2025-08-20,22:30:02 | INFO | Train Epoch: 0 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 1.7101 (2.7977) Boundary_loss: 0.013474 (0.015208) Loss: 1.7235 (2.8129) +2025-08-20,22:31:08 | INFO | Train Epoch: 0 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 1.7711 (2.7946) Boundary_loss: 0.013275 (0.015202) Loss: 1.7844 (2.8098) +2025-08-20,22:32:13 | INFO | Train Epoch: 0 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 1.8844 (2.7920) Boundary_loss: 0.013474 (0.015197) Loss: 1.8979 (2.8072) +2025-08-20,22:33:18 | INFO | Train Epoch: 0 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 1.6514 (2.7886) Boundary_loss: 0.013365 (0.015192) Loss: 1.6647 (2.8038) +2025-08-20,22:34:24 | INFO | Train Epoch: 0 [17510912/26365952 (66%)] Avg Boundaries (per batch): 18.922 Boundary Ratio: 0.097 Contrastive_loss: 1.7598 (2.7856) Boundary_loss: 0.013471 (0.015187) Loss: 1.7732 (2.8008) +2025-08-20,22:35:29 | INFO | Train Epoch: 0 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 1.8751 (2.7830) Boundary_loss: 0.013380 (0.015182) Loss: 1.8884 (2.7982) +2025-08-20,22:36:34 | INFO | Train Epoch: 0 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 1.9134 (2.7805) Boundary_loss: 0.013295 (0.015176) Loss: 1.9267 (2.7956) +2025-08-20,22:37:40 | INFO | Train Epoch: 0 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 1.9222 (2.7780) Boundary_loss: 0.013271 (0.015171) Loss: 1.9355 (2.7932) +2025-08-20,22:38:45 | INFO | Train Epoch: 0 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 1.8136 (2.7752) Boundary_loss: 0.013330 (0.015165) Loss: 1.8270 (2.7904) +2025-08-20,22:39:51 | INFO | Train Epoch: 0 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 1.8199 (2.7725) Boundary_loss: 0.013429 (0.015160) Loss: 1.8333 (2.7876) +2025-08-20,22:40:56 | INFO | Train Epoch: 0 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 1.8341 (2.7698) Boundary_loss: 0.013370 (0.015155) Loss: 1.8475 (2.7849) +2025-08-20,22:42:01 | INFO | Train Epoch: 0 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 1.7982 (2.7670) Boundary_loss: 0.013269 (0.015150) Loss: 1.8115 (2.7821) +2025-08-20,22:43:07 | INFO | Train Epoch: 0 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 1.7643 (2.7641) Boundary_loss: 0.013166 (0.015144) Loss: 1.7774 (2.7793) +2025-08-20,22:44:12 | INFO | Train Epoch: 0 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 1.8194 (2.7615) Boundary_loss: 0.013335 (0.015139) Loss: 1.8328 (2.7766) +2025-08-20,22:45:17 | INFO | Train Epoch: 0 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 1.9050 (2.7590) Boundary_loss: 0.013398 (0.015134) Loss: 1.9184 (2.7742) +2025-08-20,22:46:23 | INFO | Train Epoch: 0 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 1.7976 (2.7563) Boundary_loss: 0.013358 (0.015129) Loss: 1.8109 (2.7714) +2025-08-20,22:47:28 | INFO | Train Epoch: 0 [18125312/26365952 (69%)] Avg Boundaries (per batch): 18.947 Boundary Ratio: 0.097 Contrastive_loss: 1.7066 (2.7534) Boundary_loss: 0.013346 (0.015124) Loss: 1.7200 (2.7685) +2025-08-20,22:48:33 | INFO | Train Epoch: 0 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 1.9348 (2.7511) Boundary_loss: 0.013372 (0.015119) Loss: 1.9481 (2.7662) +2025-08-20,22:49:39 | INFO | Train Epoch: 0 [18227712/26365952 (69%)] Avg Boundaries (per batch): 18.605 Boundary Ratio: 0.095 Contrastive_loss: 1.7520 (2.7483) Boundary_loss: 0.013353 (0.015114) Loss: 1.7654 (2.7634) +2025-08-20,22:50:44 | INFO | Train Epoch: 0 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 1.7276 (2.7454) Boundary_loss: 0.013230 (0.015109) Loss: 1.7408 (2.7605) +2025-08-20,22:51:49 | INFO | Train Epoch: 0 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 1.6087 (2.7422) Boundary_loss: 0.013290 (0.015104) Loss: 1.6220 (2.7573) +2025-08-20,22:52:55 | INFO | Train Epoch: 0 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.898 Boundary Ratio: 0.102 Contrastive_loss: 1.8009 (2.7396) Boundary_loss: 0.013408 (0.015099) Loss: 1.8143 (2.7547) +2025-08-20,22:54:00 | INFO | Train Epoch: 0 [18432512/26365952 (70%)] Avg Boundaries (per batch): 18.818 Boundary Ratio: 0.096 Contrastive_loss: 1.8625 (2.7372) Boundary_loss: 0.013255 (0.015094) Loss: 1.8757 (2.7523) +2025-08-20,22:55:05 | INFO | Train Epoch: 0 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 1.8904 (2.7349) Boundary_loss: 0.013299 (0.015089) Loss: 1.9037 (2.7499) +2025-08-20,22:56:11 | INFO | Train Epoch: 0 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 1.8464 (2.7324) Boundary_loss: 0.013285 (0.015084) Loss: 1.8596 (2.7475) +2025-08-20,22:57:16 | INFO | Train Epoch: 0 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 1.6944 (2.7296) Boundary_loss: 0.013421 (0.015079) Loss: 1.7078 (2.7446) +2025-08-20,22:58:21 | INFO | Train Epoch: 0 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 1.8665 (2.7272) Boundary_loss: 0.013413 (0.015075) Loss: 1.8799 (2.7423) +2025-08-20,22:59:27 | INFO | Train Epoch: 0 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 1.7275 (2.7245) Boundary_loss: 0.013324 (0.015070) Loss: 1.7408 (2.7395) +2025-08-20,23:00:32 | INFO | Train Epoch: 0 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 1.7718 (2.7219) Boundary_loss: 0.013350 (0.015065) Loss: 1.7852 (2.7369) +2025-08-20,23:01:37 | INFO | Train Epoch: 0 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 1.6557 (2.7190) Boundary_loss: 0.013165 (0.015060) Loss: 1.6689 (2.7340) +2025-08-20,23:02:43 | INFO | Train Epoch: 0 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 1.7330 (2.7163) Boundary_loss: 0.013360 (0.015056) Loss: 1.7464 (2.7314) +2025-08-20,23:03:48 | INFO | Train Epoch: 0 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 1.7192 (2.7136) Boundary_loss: 0.013259 (0.015051) Loss: 1.7325 (2.7287) +2025-08-20,23:04:53 | INFO | Train Epoch: 0 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 1.8324 (2.7112) Boundary_loss: 0.013388 (0.015046) Loss: 1.8458 (2.7263) +2025-08-20,23:05:59 | INFO | Train Epoch: 0 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 1.7851 (2.7087) Boundary_loss: 0.013304 (0.015042) Loss: 1.7984 (2.7238) +2025-08-20,23:07:04 | INFO | Train Epoch: 0 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 1.7797 (2.7062) Boundary_loss: 0.013316 (0.015037) Loss: 1.7930 (2.7213) +2025-08-20,23:08:09 | INFO | Train Epoch: 0 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 1.8486 (2.7040) Boundary_loss: 0.013304 (0.015032) Loss: 1.8619 (2.7190) +2025-08-20,23:09:15 | INFO | Train Epoch: 0 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.721 Boundary Ratio: 0.101 Contrastive_loss: 1.8550 (2.7017) Boundary_loss: 0.013471 (0.015028) Loss: 1.8685 (2.7167) +2025-08-20,23:10:20 | INFO | Train Epoch: 0 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 1.6927 (2.6990) Boundary_loss: 0.013231 (0.015023) Loss: 1.7060 (2.7140) +2025-08-20,23:11:25 | INFO | Train Epoch: 0 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.643 Boundary Ratio: 0.100 Contrastive_loss: 1.6790 (2.6963) Boundary_loss: 0.013265 (0.015019) Loss: 1.6923 (2.7113) +2025-08-20,23:12:31 | INFO | Train Epoch: 0 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 1.7851 (2.6939) Boundary_loss: 0.013214 (0.015014) Loss: 1.7984 (2.7089) +2025-08-20,23:13:36 | INFO | Train Epoch: 0 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 1.7832 (2.6915) Boundary_loss: 0.013164 (0.015009) Loss: 1.7964 (2.7065) +2025-08-20,23:14:42 | INFO | Train Epoch: 0 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 1.6730 (2.6888) Boundary_loss: 0.013350 (0.015005) Loss: 1.6863 (2.7038) +2025-08-20,23:15:47 | INFO | Train Epoch: 0 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 1.6388 (2.6861) Boundary_loss: 0.013421 (0.015001) Loss: 1.6522 (2.7011) +2025-08-20,23:16:52 | INFO | Train Epoch: 0 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 1.7568 (2.6836) Boundary_loss: 0.013285 (0.014996) Loss: 1.7701 (2.6986) +2025-08-20,23:17:58 | INFO | Train Epoch: 0 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 1.7873 (2.6813) Boundary_loss: 0.013370 (0.014992) Loss: 1.8007 (2.6963) +2025-08-20,23:19:03 | INFO | Train Epoch: 0 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 1.7601 (2.6789) Boundary_loss: 0.013339 (0.014988) Loss: 1.7734 (2.6939) +2025-08-20,23:20:08 | INFO | Train Epoch: 0 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 1.6985 (2.6763) Boundary_loss: 0.013255 (0.014983) Loss: 1.7117 (2.6913) +2025-08-20,23:21:14 | INFO | Train Epoch: 0 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.936 Boundary Ratio: 0.102 Contrastive_loss: 1.7111 (2.6738) Boundary_loss: 0.013525 (0.014979) Loss: 1.7247 (2.6888) +2025-08-20,23:22:19 | INFO | Train Epoch: 0 [19763712/26365952 (75%)] Avg Boundaries (per batch): 18.982 Boundary Ratio: 0.097 Contrastive_loss: 1.7868 (2.6715) Boundary_loss: 0.013138 (0.014975) Loss: 1.7999 (2.6865) +2025-08-20,23:23:25 | INFO | Train Epoch: 0 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.779 Boundary Ratio: 0.101 Contrastive_loss: 1.6216 (2.6688) Boundary_loss: 0.013452 (0.014971) Loss: 1.6350 (2.6838) +2025-08-20,23:24:30 | INFO | Train Epoch: 0 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.816 Boundary Ratio: 0.101 Contrastive_loss: 1.5883 (2.6661) Boundary_loss: 0.013331 (0.014966) Loss: 1.6016 (2.6810) +2025-08-20,23:25:35 | INFO | Train Epoch: 0 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 1.5814 (2.6633) Boundary_loss: 0.013213 (0.014962) Loss: 1.5947 (2.6782) +2025-08-20,23:26:41 | INFO | Train Epoch: 0 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 1.6744 (2.6607) Boundary_loss: 0.013390 (0.014958) Loss: 1.6878 (2.6757) +2025-08-20,23:27:46 | INFO | Train Epoch: 0 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.904 Boundary Ratio: 0.102 Contrastive_loss: 1.7270 (2.6584) Boundary_loss: 0.013321 (0.014954) Loss: 1.7403 (2.6733) +2025-08-20,23:28:51 | INFO | Train Epoch: 0 [20070912/26365952 (76%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 1.6703 (2.6559) Boundary_loss: 0.013231 (0.014949) Loss: 1.6835 (2.6708) +2025-08-20,23:29:57 | INFO | Train Epoch: 0 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 1.7571 (2.6536) Boundary_loss: 0.013328 (0.014945) Loss: 1.7704 (2.6685) +2025-08-20,23:31:02 | INFO | Train Epoch: 0 [20173312/26365952 (77%)] Avg Boundaries (per batch): 18.613 Boundary Ratio: 0.095 Contrastive_loss: 1.9070 (2.6517) Boundary_loss: 0.013365 (0.014941) Loss: 1.9203 (2.6666) +2025-08-20,23:32:08 | INFO | Train Epoch: 0 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 1.8216 (2.6496) Boundary_loss: 0.013275 (0.014937) Loss: 1.8349 (2.6645) +2025-08-20,23:33:13 | INFO | Train Epoch: 0 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 1.8079 (2.6475) Boundary_loss: 0.013334 (0.014933) Loss: 1.8213 (2.6624) +2025-08-20,23:34:18 | INFO | Train Epoch: 0 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.711 Boundary Ratio: 0.101 Contrastive_loss: 1.7705 (2.6453) Boundary_loss: 0.013342 (0.014929) Loss: 1.7838 (2.6602) +2025-08-20,23:35:24 | INFO | Train Epoch: 0 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 1.5760 (2.6426) Boundary_loss: 0.013359 (0.014925) Loss: 1.5893 (2.6575) +2025-08-20,23:36:29 | INFO | Train Epoch: 0 [20429312/26365952 (77%)] Avg Boundaries (per batch): 18.963 Boundary Ratio: 0.097 Contrastive_loss: 1.5739 (2.6399) Boundary_loss: 0.013336 (0.014921) Loss: 1.5872 (2.6548) +2025-08-20,23:37:35 | INFO | Train Epoch: 0 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 1.7359 (2.6377) Boundary_loss: 0.013297 (0.014917) Loss: 1.7492 (2.6526) +2025-08-20,23:38:40 | INFO | Train Epoch: 0 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.639 Boundary Ratio: 0.100 Contrastive_loss: 1.6159 (2.6351) Boundary_loss: 0.013221 (0.014913) Loss: 1.6292 (2.6500) +2025-08-20,23:39:45 | INFO | Train Epoch: 0 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 1.6033 (2.6326) Boundary_loss: 0.013336 (0.014909) Loss: 1.6167 (2.6475) +2025-08-20,23:40:51 | INFO | Train Epoch: 0 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 1.6024 (2.6300) Boundary_loss: 0.013339 (0.014905) Loss: 1.6158 (2.6449) +2025-08-20,23:41:56 | INFO | Train Epoch: 0 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 1.7651 (2.6279) Boundary_loss: 0.013136 (0.014901) Loss: 1.7782 (2.6428) +2025-08-20,23:43:01 | INFO | Train Epoch: 0 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 1.5692 (2.6253) Boundary_loss: 0.013256 (0.014897) Loss: 1.5825 (2.6402) +2025-08-20,23:44:07 | INFO | Train Epoch: 0 [20787712/26365952 (79%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 1.5214 (2.6225) Boundary_loss: 0.013398 (0.014893) Loss: 1.5348 (2.6374) +2025-08-20,23:45:12 | INFO | Train Epoch: 0 [20838912/26365952 (79%)] Avg Boundaries (per batch): 18.873 Boundary Ratio: 0.096 Contrastive_loss: 1.6318 (2.6201) Boundary_loss: 0.013348 (0.014889) Loss: 1.6452 (2.6350) +2025-08-20,23:46:17 | INFO | Train Epoch: 0 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.602 Boundary Ratio: 0.100 Contrastive_loss: 1.6123 (2.6177) Boundary_loss: 0.013332 (0.014885) Loss: 1.6256 (2.6325) +2025-08-20,23:47:23 | INFO | Train Epoch: 0 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 1.5681 (2.6151) Boundary_loss: 0.013236 (0.014881) Loss: 1.5814 (2.6300) +2025-08-20,23:48:28 | INFO | Train Epoch: 0 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 1.8894 (2.6133) Boundary_loss: 0.013353 (0.014878) Loss: 1.9028 (2.6282) +2025-08-20,23:49:34 | INFO | Train Epoch: 0 [21043712/26365952 (80%)] Avg Boundaries (per batch): 18.713 Boundary Ratio: 0.095 Contrastive_loss: 1.8430 (2.6115) Boundary_loss: 0.013355 (0.014874) Loss: 1.8563 (2.6263) +2025-08-20,23:50:39 | INFO | Train Epoch: 0 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 1.6617 (2.6092) Boundary_loss: 0.013401 (0.014870) Loss: 1.6751 (2.6240) +2025-08-20,23:51:44 | INFO | Train Epoch: 0 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 1.7002 (2.6070) Boundary_loss: 0.013122 (0.014866) Loss: 1.7134 (2.6218) +2025-08-20,23:52:50 | INFO | Train Epoch: 0 [21197312/26365952 (80%)] Avg Boundaries (per batch): 18.955 Boundary Ratio: 0.097 Contrastive_loss: 1.6726 (2.6047) Boundary_loss: 0.013222 (0.014862) Loss: 1.6859 (2.6196) +2025-08-20,23:53:55 | INFO | Train Epoch: 0 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 1.5262 (2.6021) Boundary_loss: 0.013395 (0.014859) Loss: 1.5396 (2.6170) +2025-08-20,23:55:00 | INFO | Train Epoch: 0 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 1.7095 (2.6000) Boundary_loss: 0.013288 (0.014855) Loss: 1.7228 (2.6148) +2025-08-20,23:56:06 | INFO | Train Epoch: 0 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 1.8876 (2.5983) Boundary_loss: 0.013355 (0.014851) Loss: 1.9009 (2.6131) +2025-08-20,23:57:11 | INFO | Train Epoch: 0 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 1.4751 (2.5956) Boundary_loss: 0.013404 (0.014848) Loss: 1.4885 (2.6104) +2025-08-20,23:58:17 | INFO | Train Epoch: 0 [21453312/26365952 (81%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 1.7346 (2.5935) Boundary_loss: 0.013113 (0.014844) Loss: 1.7477 (2.6084) +2025-08-20,23:59:22 | INFO | Train Epoch: 0 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 1.8170 (2.5917) Boundary_loss: 0.013181 (0.014840) Loss: 1.8302 (2.6065) +2025-08-21,00:00:27 | INFO | Train Epoch: 0 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 1.5655 (2.5893) Boundary_loss: 0.013431 (0.014836) Loss: 1.5789 (2.6041) +2025-08-21,00:01:33 | INFO | Train Epoch: 0 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 1.6702 (2.5871) Boundary_loss: 0.013355 (0.014833) Loss: 1.6836 (2.6019) +2025-08-21,00:02:38 | INFO | Train Epoch: 0 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 1.7172 (2.5850) Boundary_loss: 0.013184 (0.014829) Loss: 1.7304 (2.5999) +2025-08-21,00:03:43 | INFO | Train Epoch: 0 [21709312/26365952 (82%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 1.5914 (2.5827) Boundary_loss: 0.013298 (0.014825) Loss: 1.6047 (2.5975) +2025-08-21,00:04:49 | INFO | Train Epoch: 0 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.783 Boundary Ratio: 0.101 Contrastive_loss: 1.6429 (2.5805) Boundary_loss: 0.013231 (0.014822) Loss: 1.6562 (2.5953) +2025-08-21,00:05:54 | INFO | Train Epoch: 0 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.918 Boundary Ratio: 0.102 Contrastive_loss: 1.7518 (2.5786) Boundary_loss: 0.013545 (0.014819) Loss: 1.7653 (2.5934) +2025-08-21,00:06:59 | INFO | Train Epoch: 0 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 1.6696 (2.5764) Boundary_loss: 0.013167 (0.014815) Loss: 1.6828 (2.5913) +2025-08-21,00:08:05 | INFO | Train Epoch: 0 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.836 Boundary Ratio: 0.101 Contrastive_loss: 1.6726 (2.5743) Boundary_loss: 0.013330 (0.014811) Loss: 1.6859 (2.5891) +2025-08-21,00:09:10 | INFO | Train Epoch: 0 [21965312/26365952 (83%)] Avg Boundaries (per batch): 18.762 Boundary Ratio: 0.096 Contrastive_loss: 1.7723 (2.5725) Boundary_loss: 0.013280 (0.014808) Loss: 1.7855 (2.5873) +2025-08-21,00:10:15 | INFO | Train Epoch: 0 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.580 Boundary Ratio: 0.100 Contrastive_loss: 1.6520 (2.5703) Boundary_loss: 0.013352 (0.014804) Loss: 1.6654 (2.5851) +2025-08-21,00:11:21 | INFO | Train Epoch: 0 [22067712/26365952 (84%)] Avg Boundaries (per batch): 18.988 Boundary Ratio: 0.097 Contrastive_loss: 1.8178 (2.5686) Boundary_loss: 0.013459 (0.014801) Loss: 1.8313 (2.5834) +2025-08-21,00:12:26 | INFO | Train Epoch: 0 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.574 Boundary Ratio: 0.100 Contrastive_loss: 1.6982 (2.5666) Boundary_loss: 0.013321 (0.014798) Loss: 1.7115 (2.5814) +2025-08-21,00:13:31 | INFO | Train Epoch: 0 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 1.6293 (2.5644) Boundary_loss: 0.013284 (0.014794) Loss: 1.6425 (2.5792) +2025-08-21,00:14:37 | INFO | Train Epoch: 0 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 1.7555 (2.5626) Boundary_loss: 0.013270 (0.014791) Loss: 1.7688 (2.5773) +2025-08-21,00:15:42 | INFO | Train Epoch: 0 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 1.5722 (2.5603) Boundary_loss: 0.013315 (0.014787) Loss: 1.5855 (2.5751) +2025-08-21,00:16:48 | INFO | Train Epoch: 0 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 1.6738 (2.5583) Boundary_loss: 0.013316 (0.014784) Loss: 1.6871 (2.5730) +2025-08-21,00:17:53 | INFO | Train Epoch: 0 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 1.5940 (2.5561) Boundary_loss: 0.013321 (0.014781) Loss: 1.6073 (2.5708) +2025-08-21,00:18:58 | INFO | Train Epoch: 0 [22426112/26365952 (85%)] Avg Boundaries (per batch): 18.949 Boundary Ratio: 0.097 Contrastive_loss: 1.5772 (2.5538) Boundary_loss: 0.013229 (0.014777) Loss: 1.5905 (2.5686) +2025-08-21,00:20:04 | INFO | Train Epoch: 0 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 1.4326 (2.5513) Boundary_loss: 0.013349 (0.014774) Loss: 1.4460 (2.5661) +2025-08-21,00:21:09 | INFO | Train Epoch: 0 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 1.7314 (2.5494) Boundary_loss: 0.013095 (0.014770) Loss: 1.7445 (2.5642) +2025-08-21,00:22:15 | INFO | Train Epoch: 0 [22579712/26365952 (86%)] Avg Boundaries (per batch): 18.965 Boundary Ratio: 0.097 Contrastive_loss: 1.6066 (2.5473) Boundary_loss: 0.013219 (0.014767) Loss: 1.6199 (2.5621) +2025-08-21,00:23:20 | INFO | Train Epoch: 0 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.748 Boundary Ratio: 0.101 Contrastive_loss: 1.6810 (2.5453) Boundary_loss: 0.013159 (0.014763) Loss: 1.6942 (2.5601) +2025-08-21,00:24:25 | INFO | Train Epoch: 0 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.719 Boundary Ratio: 0.101 Contrastive_loss: 1.6116 (2.5432) Boundary_loss: 0.013199 (0.014759) Loss: 1.6248 (2.5580) +2025-08-21,00:25:31 | INFO | Train Epoch: 0 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 1.6286 (2.5412) Boundary_loss: 0.013451 (0.014757) Loss: 1.6421 (2.5559) +2025-08-21,00:26:36 | INFO | Train Epoch: 0 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 1.7077 (2.5393) Boundary_loss: 0.013334 (0.014753) Loss: 1.7211 (2.5541) +2025-08-21,00:27:41 | INFO | Train Epoch: 0 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 1.7711 (2.5376) Boundary_loss: 0.013310 (0.014750) Loss: 1.7844 (2.5523) +2025-08-21,00:28:47 | INFO | Train Epoch: 0 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 1.5588 (2.5354) Boundary_loss: 0.013170 (0.014747) Loss: 1.5719 (2.5501) +2025-08-21,00:29:52 | INFO | Train Epoch: 0 [22938112/26365952 (87%)] Avg Boundaries (per batch): 20.102 Boundary Ratio: 0.103 Contrastive_loss: 1.6815 (2.5335) Boundary_loss: 0.013194 (0.014743) Loss: 1.6947 (2.5482) +2025-08-21,00:30:58 | INFO | Train Epoch: 0 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 1.4660 (2.5311) Boundary_loss: 0.013308 (0.014740) Loss: 1.4793 (2.5459) +2025-08-21,00:32:03 | INFO | Train Epoch: 0 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 1.5663 (2.5290) Boundary_loss: 0.013397 (0.014737) Loss: 1.5797 (2.5437) +2025-08-21,00:33:08 | INFO | Train Epoch: 0 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 1.4636 (2.5266) Boundary_loss: 0.013307 (0.014734) Loss: 1.4769 (2.5414) +2025-08-21,00:34:14 | INFO | Train Epoch: 0 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 1.5001 (2.5244) Boundary_loss: 0.013261 (0.014731) Loss: 1.5134 (2.5391) +2025-08-21,00:35:19 | INFO | Train Epoch: 0 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 1.6569 (2.5225) Boundary_loss: 0.013362 (0.014728) Loss: 1.6703 (2.5372) +2025-08-21,00:36:24 | INFO | Train Epoch: 0 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 1.6622 (2.5206) Boundary_loss: 0.013285 (0.014724) Loss: 1.6755 (2.5353) +2025-08-21,00:37:30 | INFO | Train Epoch: 0 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 1.7534 (2.5189) Boundary_loss: 0.013161 (0.014721) Loss: 1.7665 (2.5336) +2025-08-21,00:38:35 | INFO | Train Epoch: 0 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 1.5427 (2.5167) Boundary_loss: 0.013267 (0.014718) Loss: 1.5560 (2.5315) +2025-08-21,00:39:41 | INFO | Train Epoch: 0 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 1.5197 (2.5146) Boundary_loss: 0.013192 (0.014714) Loss: 1.5329 (2.5293) +2025-08-21,00:40:46 | INFO | Train Epoch: 0 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.666 Boundary Ratio: 0.100 Contrastive_loss: 1.6121 (2.5126) Boundary_loss: 0.013286 (0.014711) Loss: 1.6254 (2.5273) +2025-08-21,00:41:51 | INFO | Train Epoch: 0 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 1.5418 (2.5105) Boundary_loss: 0.013324 (0.014708) Loss: 1.5551 (2.5252) +2025-08-21,00:42:57 | INFO | Train Epoch: 0 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.781 Boundary Ratio: 0.101 Contrastive_loss: 1.5658 (2.5084) Boundary_loss: 0.013346 (0.014705) Loss: 1.5791 (2.5231) +2025-08-21,00:44:02 | INFO | Train Epoch: 0 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 1.5606 (2.5064) Boundary_loss: 0.013229 (0.014702) Loss: 1.5738 (2.5211) +2025-08-21,00:45:08 | INFO | Train Epoch: 0 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 1.6440 (2.5045) Boundary_loss: 0.013250 (0.014699) Loss: 1.6572 (2.5192) +2025-08-21,00:46:13 | INFO | Train Epoch: 0 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 1.5713 (2.5025) Boundary_loss: 0.013328 (0.014696) Loss: 1.5847 (2.5172) +2025-08-21,00:47:18 | INFO | Train Epoch: 0 [23757312/26365952 (90%)] Avg Boundaries (per batch): 18.988 Boundary Ratio: 0.097 Contrastive_loss: 1.6027 (2.5006) Boundary_loss: 0.013291 (0.014693) Loss: 1.6160 (2.5153) +2025-08-21,00:48:24 | INFO | Train Epoch: 0 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 1.6445 (2.4987) Boundary_loss: 0.013147 (0.014690) Loss: 1.6576 (2.5134) +2025-08-21,00:49:29 | INFO | Train Epoch: 0 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 1.4981 (2.4966) Boundary_loss: 0.013211 (0.014687) Loss: 1.5113 (2.5113) +2025-08-21,00:50:35 | INFO | Train Epoch: 0 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 1.6437 (2.4948) Boundary_loss: 0.013233 (0.014683) Loss: 1.6569 (2.5095) +2025-08-21,00:51:40 | INFO | Train Epoch: 0 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 1.5434 (2.4928) Boundary_loss: 0.013265 (0.014680) Loss: 1.5567 (2.5074) +2025-08-21,00:52:45 | INFO | Train Epoch: 0 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.750 Boundary Ratio: 0.101 Contrastive_loss: 1.3890 (2.4904) Boundary_loss: 0.013308 (0.014678) Loss: 1.4023 (2.5051) +2025-08-21,00:53:51 | INFO | Train Epoch: 0 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 1.5876 (2.4885) Boundary_loss: 0.013299 (0.014675) Loss: 1.6009 (2.5032) +2025-08-21,00:54:56 | INFO | Train Epoch: 0 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 1.6542 (2.4867) Boundary_loss: 0.013306 (0.014672) Loss: 1.6675 (2.5014) +2025-08-21,00:56:01 | INFO | Train Epoch: 0 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 1.4848 (2.4846) Boundary_loss: 0.013217 (0.014669) Loss: 1.4980 (2.4993) +2025-08-21,00:57:07 | INFO | Train Epoch: 0 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 1.5960 (2.4827) Boundary_loss: 0.013237 (0.014666) Loss: 1.6092 (2.4974) +2025-08-21,00:58:12 | INFO | Train Epoch: 0 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 1.5498 (2.4808) Boundary_loss: 0.013271 (0.014663) Loss: 1.5630 (2.4954) +2025-08-21,00:59:18 | INFO | Train Epoch: 0 [24320512/26365952 (92%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 1.6154 (2.4789) Boundary_loss: 0.013309 (0.014660) Loss: 1.6288 (2.4936) +2025-08-21,01:00:23 | INFO | Train Epoch: 0 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 1.5376 (2.4770) Boundary_loss: 0.013132 (0.014657) Loss: 1.5507 (2.4916) +2025-08-21,01:01:28 | INFO | Train Epoch: 0 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 1.6655 (2.4753) Boundary_loss: 0.013240 (0.014654) Loss: 1.6787 (2.4899) +2025-08-21,01:02:34 | INFO | Train Epoch: 0 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 1.4351 (2.4731) Boundary_loss: 0.013094 (0.014650) Loss: 1.4482 (2.4878) +2025-08-21,01:03:39 | INFO | Train Epoch: 0 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 1.6813 (2.4715) Boundary_loss: 0.013302 (0.014648) Loss: 1.6946 (2.4861) +2025-08-21,01:04:45 | INFO | Train Epoch: 0 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 1.5225 (2.4695) Boundary_loss: 0.013397 (0.014645) Loss: 1.5359 (2.4841) +2025-08-21,01:05:50 | INFO | Train Epoch: 0 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.824 Boundary Ratio: 0.101 Contrastive_loss: 1.5716 (2.4676) Boundary_loss: 0.013344 (0.014642) Loss: 1.5850 (2.4823) +2025-08-21,01:06:55 | INFO | Train Epoch: 0 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 1.5517 (2.4657) Boundary_loss: 0.013364 (0.014640) Loss: 1.5651 (2.4804) +2025-08-21,01:08:01 | INFO | Train Epoch: 0 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 1.5636 (2.4639) Boundary_loss: 0.013371 (0.014637) Loss: 1.5769 (2.4785) +2025-08-21,01:09:06 | INFO | Train Epoch: 0 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 1.4791 (2.4618) Boundary_loss: 0.013224 (0.014634) Loss: 1.4923 (2.4765) +2025-08-21,01:10:11 | INFO | Train Epoch: 0 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 1.4879 (2.4598) Boundary_loss: 0.013277 (0.014631) Loss: 1.5011 (2.4745) +2025-08-21,01:11:17 | INFO | Train Epoch: 0 [24883712/26365952 (94%)] Avg Boundaries (per batch): 18.984 Boundary Ratio: 0.097 Contrastive_loss: 1.5809 (2.4580) Boundary_loss: 0.013243 (0.014628) Loss: 1.5941 (2.4726) +2025-08-21,01:12:22 | INFO | Train Epoch: 0 [24934912/26365952 (95%)] Avg Boundaries (per batch): 18.828 Boundary Ratio: 0.096 Contrastive_loss: 1.6101 (2.4563) Boundary_loss: 0.013254 (0.014626) Loss: 1.6233 (2.4709) +2025-08-21,01:13:27 | INFO | Train Epoch: 0 [24986112/26365952 (95%)] Avg Boundaries (per batch): 18.932 Boundary Ratio: 0.097 Contrastive_loss: 1.5567 (2.4544) Boundary_loss: 0.013197 (0.014623) Loss: 1.5699 (2.4691) +2025-08-21,01:14:33 | INFO | Train Epoch: 0 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 1.5907 (2.4527) Boundary_loss: 0.013125 (0.014620) Loss: 1.6038 (2.4673) +2025-08-21,01:15:38 | INFO | Train Epoch: 0 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 1.5322 (2.4508) Boundary_loss: 0.013246 (0.014617) Loss: 1.5455 (2.4654) +2025-08-21,01:16:43 | INFO | Train Epoch: 0 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 1.3708 (2.4486) Boundary_loss: 0.013358 (0.014614) Loss: 1.3841 (2.4632) +2025-08-21,01:17:49 | INFO | Train Epoch: 0 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 1.5102 (2.4467) Boundary_loss: 0.013288 (0.014612) Loss: 1.5235 (2.4613) +2025-08-21,01:18:54 | INFO | Train Epoch: 0 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.699 Boundary Ratio: 0.101 Contrastive_loss: 1.4830 (2.4448) Boundary_loss: 0.013263 (0.014609) Loss: 1.4962 (2.4594) +2025-08-21,01:19:59 | INFO | Train Epoch: 0 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 1.4874 (2.4428) Boundary_loss: 0.013323 (0.014606) Loss: 1.5007 (2.4574) +2025-08-21,01:21:04 | INFO | Train Epoch: 0 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 1.5968 (2.4411) Boundary_loss: 0.013292 (0.014604) Loss: 1.6101 (2.4557) +2025-08-21,01:22:09 | INFO | Train Epoch: 0 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.602 Boundary Ratio: 0.100 Contrastive_loss: 1.3341 (2.4389) Boundary_loss: 0.013156 (0.014601) Loss: 1.3473 (2.4535) +2025-08-21,01:23:14 | INFO | Train Epoch: 0 [25446912/26365952 (97%)] Avg Boundaries (per batch): 20.102 Boundary Ratio: 0.103 Contrastive_loss: 1.4221 (2.4368) Boundary_loss: 0.013299 (0.014598) Loss: 1.4354 (2.4514) +2025-08-21,01:24:20 | INFO | Train Epoch: 0 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 1.5130 (2.4350) Boundary_loss: 0.013242 (0.014595) Loss: 1.5263 (2.4496) +2025-08-21,01:25:25 | INFO | Train Epoch: 0 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 1.4913 (2.4331) Boundary_loss: 0.013150 (0.014592) Loss: 1.5044 (2.4477) +2025-08-21,01:26:30 | INFO | Train Epoch: 0 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.773 Boundary Ratio: 0.101 Contrastive_loss: 1.4978 (2.4312) Boundary_loss: 0.013290 (0.014590) Loss: 1.5111 (2.4458) +2025-08-21,01:27:35 | INFO | Train Epoch: 0 [25651712/26365952 (97%)] Avg Boundaries (per batch): 18.779 Boundary Ratio: 0.096 Contrastive_loss: 1.4286 (2.4292) Boundary_loss: 0.013476 (0.014588) Loss: 1.4421 (2.4438) +2025-08-21,01:28:40 | INFO | Train Epoch: 0 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 1.5311 (2.4275) Boundary_loss: 0.013194 (0.014585) Loss: 1.5443 (2.4420) +2025-08-21,01:29:46 | INFO | Train Epoch: 0 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 1.5180 (2.4257) Boundary_loss: 0.013180 (0.014582) Loss: 1.5312 (2.4402) +2025-08-21,01:30:51 | INFO | Train Epoch: 0 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 1.5353 (2.4239) Boundary_loss: 0.013144 (0.014579) Loss: 1.5484 (2.4385) +2025-08-21,01:31:56 | INFO | Train Epoch: 0 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 1.3775 (2.4218) Boundary_loss: 0.013274 (0.014577) Loss: 1.3908 (2.4364) +2025-08-21,01:33:01 | INFO | Train Epoch: 0 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 1.4205 (2.4198) Boundary_loss: 0.013198 (0.014574) Loss: 1.4337 (2.4344) +2025-08-21,01:34:07 | INFO | Train Epoch: 0 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 1.5336 (2.4181) Boundary_loss: 0.013234 (0.014571) Loss: 1.5468 (2.4327) +2025-08-21,01:35:12 | INFO | Train Epoch: 0 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.598 Boundary Ratio: 0.100 Contrastive_loss: 1.4572 (2.4162) Boundary_loss: 0.013246 (0.014569) Loss: 1.4704 (2.4308) +2025-08-21,01:36:17 | INFO | Train Epoch: 0 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 1.5701 (2.4146) Boundary_loss: 0.013395 (0.014566) Loss: 1.5835 (2.4291) +2025-08-21,01:37:22 | INFO | Train Epoch: 0 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 1.6008 (2.4130) Boundary_loss: 0.013203 (0.014564) Loss: 1.6140 (2.4275) +2025-08-21,01:38:28 | INFO | Train Epoch: 0 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 1.5093 (2.4112) Boundary_loss: 0.013299 (0.014561) Loss: 1.5226 (2.4258) +2025-08-21,01:39:33 | INFO | Train Epoch: 0 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 1.6660 (2.4097) Boundary_loss: 0.013337 (0.014559) Loss: 1.6794 (2.4243) +2025-08-21,01:40:38 | INFO | Train Epoch: 0 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 1.4918 (2.4080) Boundary_loss: 0.013241 (0.014556) Loss: 1.5051 (2.4225) +2025-08-21,01:41:43 | INFO | Train Epoch: 0 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 1.6235 (2.4064) Boundary_loss: 0.013189 (0.014554) Loss: 1.6367 (2.4210) +2025-08-21,01:42:45 | INFO | Train Epoch: 0 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 1.3937 (2.4045) Boundary_loss: 0.013300 (0.014551) Loss: 1.4070 (2.4190) +2025-08-21,01:42:45 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-21,01:42:45 | INFO | [Epoch 0] Average Step Time: 0.664s | Average GPU Memory: 37.6 GB +2025-08-21,01:42:45 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-21,01:42:45 | INFO | Starting zero-shot imagenet. +2025-08-21,01:42:45 | INFO | Building zero-shot classifier +2025-08-21,01:42:55 | INFO | Using classifier +2025-08-21,01:43:41 | INFO | Finished zero-shot imagenet. +2025-08-21,01:43:41 | INFO | Eval Epoch: 1 imagenet-zeroshot-val-top1: 0.1312 imagenet-zeroshot-val-top5: 0.3084 +2025-08-21,01:43:42 | INFO | Start epoch 1 +2025-08-21,01:43:45 | INFO | Train Epoch: 1 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 1.4902 (1.4902) Boundary_loss: 0.013359 (0.013359) Loss: 1.5036 (1.5036) +2025-08-21,01:44:50 | INFO | Train Epoch: 1 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 1.6908 (1.5905) Boundary_loss: 0.013185 (0.013272) Loss: 1.7040 (1.6038) +2025-08-21,01:45:55 | INFO | Train Epoch: 1 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 1.2385 (1.4732) Boundary_loss: 0.013339 (0.013295) Loss: 1.2518 (1.4865) +2025-08-21,01:47:00 | INFO | Train Epoch: 1 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 1.4119 (1.4578) Boundary_loss: 0.013283 (0.013292) Loss: 1.4251 (1.4711) +2025-08-21,01:48:05 | INFO | Train Epoch: 1 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 18.672 Boundary Ratio: 0.095 Contrastive_loss: 1.3725 (1.4408) Boundary_loss: 0.013224 (0.013278) Loss: 1.3858 (1.4541) +2025-08-21,01:49:10 | INFO | Train Epoch: 1 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 1.3590 (1.4271) Boundary_loss: 0.013222 (0.013269) Loss: 1.3722 (1.4404) +2025-08-21,01:50:15 | INFO | Train Epoch: 1 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 1.5412 (1.4434) Boundary_loss: 0.013279 (0.013270) Loss: 1.5544 (1.4567) +2025-08-21,01:51:20 | INFO | Train Epoch: 1 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 1.4126 (1.4396) Boundary_loss: 0.013266 (0.013270) Loss: 1.4259 (1.4528) +2025-08-21,01:52:25 | INFO | Train Epoch: 1 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 1.4274 (1.4382) Boundary_loss: 0.013251 (0.013268) Loss: 1.4406 (1.4515) +2025-08-21,01:53:31 | INFO | Train Epoch: 1 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 1.4567 (1.4401) Boundary_loss: 0.013257 (0.013267) Loss: 1.4699 (1.4533) +2025-08-21,01:54:36 | INFO | Train Epoch: 1 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 1.4781 (1.4435) Boundary_loss: 0.013097 (0.013251) Loss: 1.4912 (1.4568) +2025-08-21,01:55:41 | INFO | Train Epoch: 1 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 1.5358 (1.4512) Boundary_loss: 0.013127 (0.013241) Loss: 1.5489 (1.4645) +2025-08-21,01:56:46 | INFO | Train Epoch: 1 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 18.881 Boundary Ratio: 0.096 Contrastive_loss: 1.3576 (1.4440) Boundary_loss: 0.013153 (0.013234) Loss: 1.3708 (1.4573) +2025-08-21,01:57:51 | INFO | Train Epoch: 1 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 1.4479 (1.4443) Boundary_loss: 0.013310 (0.013239) Loss: 1.4612 (1.4575) +2025-08-21,01:58:56 | INFO | Train Epoch: 1 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 18.916 Boundary Ratio: 0.097 Contrastive_loss: 1.3460 (1.4377) Boundary_loss: 0.013185 (0.013236) Loss: 1.3592 (1.4510) +2025-08-21,02:00:01 | INFO | Train Epoch: 1 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 18.852 Boundary Ratio: 0.096 Contrastive_loss: 1.4349 (1.4376) Boundary_loss: 0.013143 (0.013230) Loss: 1.4480 (1.4508) +2025-08-21,02:01:06 | INFO | Train Epoch: 1 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.709 Boundary Ratio: 0.101 Contrastive_loss: 1.5445 (1.4439) Boundary_loss: 0.013231 (0.013230) Loss: 1.5577 (1.4571) +2025-08-21,02:02:11 | INFO | Train Epoch: 1 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.643 Boundary Ratio: 0.100 Contrastive_loss: 1.3605 (1.4392) Boundary_loss: 0.013191 (0.013228) Loss: 1.3736 (1.4524) +2025-08-21,02:03:16 | INFO | Train Epoch: 1 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 1.4581 (1.4402) Boundary_loss: 0.013295 (0.013231) Loss: 1.4713 (1.4534) +2025-08-21,02:04:22 | INFO | Train Epoch: 1 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.602 Boundary Ratio: 0.100 Contrastive_loss: 1.3455 (1.4355) Boundary_loss: 0.013297 (0.013235) Loss: 1.3588 (1.4487) +2025-08-21,02:05:27 | INFO | Train Epoch: 1 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 1.4606 (1.4367) Boundary_loss: 0.013297 (0.013238) Loss: 1.4739 (1.4499) +2025-08-21,02:06:32 | INFO | Train Epoch: 1 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 18.949 Boundary Ratio: 0.097 Contrastive_loss: 1.2820 (1.4296) Boundary_loss: 0.013337 (0.013242) Loss: 1.2953 (1.4429) +2025-08-21,02:07:37 | INFO | Train Epoch: 1 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 1.5996 (1.4370) Boundary_loss: 0.013350 (0.013247) Loss: 1.6129 (1.4503) +2025-08-21,02:08:42 | INFO | Train Epoch: 1 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 1.4691 (1.4384) Boundary_loss: 0.013204 (0.013245) Loss: 1.4823 (1.4516) +2025-08-21,02:09:47 | INFO | Train Epoch: 1 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 1.6065 (1.4451) Boundary_loss: 0.013286 (0.013247) Loss: 1.6198 (1.4583) +2025-08-21,02:10:52 | INFO | Train Epoch: 1 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 1.4554 (1.4455) Boundary_loss: 0.013082 (0.013240) Loss: 1.4685 (1.4587) +2025-08-21,02:11:57 | INFO | Train Epoch: 1 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 1.4418 (1.4453) Boundary_loss: 0.013302 (0.013243) Loss: 1.4551 (1.4586) +2025-08-21,02:13:02 | INFO | Train Epoch: 1 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.637 Boundary Ratio: 0.100 Contrastive_loss: 1.3993 (1.4437) Boundary_loss: 0.013307 (0.013245) Loss: 1.4126 (1.4569) +2025-08-21,02:14:08 | INFO | Train Epoch: 1 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 1.3681 (1.4411) Boundary_loss: 0.013218 (0.013244) Loss: 1.3813 (1.4543) +2025-08-21,02:15:13 | INFO | Train Epoch: 1 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 1.5491 (1.4447) Boundary_loss: 0.013170 (0.013242) Loss: 1.5623 (1.4579) +2025-08-21,02:16:18 | INFO | Train Epoch: 1 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 1.3810 (1.4426) Boundary_loss: 0.013152 (0.013239) Loss: 1.3941 (1.4559) +2025-08-21,02:17:23 | INFO | Train Epoch: 1 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 1.4469 (1.4428) Boundary_loss: 0.013224 (0.013238) Loss: 1.4601 (1.4560) +2025-08-21,02:18:28 | INFO | Train Epoch: 1 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 1.3310 (1.4394) Boundary_loss: 0.013222 (0.013238) Loss: 1.3443 (1.4526) +2025-08-21,02:19:33 | INFO | Train Epoch: 1 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 1.5063 (1.4414) Boundary_loss: 0.013321 (0.013240) Loss: 1.5196 (1.4546) +2025-08-21,02:20:39 | INFO | Train Epoch: 1 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 1.4139 (1.4406) Boundary_loss: 0.013064 (0.013235) Loss: 1.4270 (1.4538) +2025-08-21,02:21:44 | INFO | Train Epoch: 1 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 1.1774 (1.4333) Boundary_loss: 0.013219 (0.013235) Loss: 1.1906 (1.4465) +2025-08-21,02:22:49 | INFO | Train Epoch: 1 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 1.4658 (1.4341) Boundary_loss: 0.013395 (0.013239) Loss: 1.4792 (1.4474) +2025-08-21,02:23:54 | INFO | Train Epoch: 1 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.918 Boundary Ratio: 0.102 Contrastive_loss: 1.3978 (1.4332) Boundary_loss: 0.013378 (0.013243) Loss: 1.4112 (1.4464) +2025-08-21,02:24:59 | INFO | Train Epoch: 1 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.693 Boundary Ratio: 0.100 Contrastive_loss: 1.4015 (1.4324) Boundary_loss: 0.013380 (0.013246) Loss: 1.4149 (1.4456) +2025-08-21,02:26:04 | INFO | Train Epoch: 1 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 18.910 Boundary Ratio: 0.096 Contrastive_loss: 1.4439 (1.4327) Boundary_loss: 0.013119 (0.013243) Loss: 1.4571 (1.4459) +2025-08-21,02:27:10 | INFO | Train Epoch: 1 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 1.3482 (1.4306) Boundary_loss: 0.013262 (0.013243) Loss: 1.3615 (1.4438) +2025-08-21,02:28:15 | INFO | Train Epoch: 1 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 1.4542 (1.4312) Boundary_loss: 0.013284 (0.013244) Loss: 1.4675 (1.4444) +2025-08-21,02:29:20 | INFO | Train Epoch: 1 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 18.758 Boundary Ratio: 0.096 Contrastive_loss: 1.4266 (1.4311) Boundary_loss: 0.013206 (0.013244) Loss: 1.4399 (1.4443) +2025-08-21,02:30:25 | INFO | Train Epoch: 1 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 1.4820 (1.4322) Boundary_loss: 0.013227 (0.013243) Loss: 1.4952 (1.4455) +2025-08-21,02:31:30 | INFO | Train Epoch: 1 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 1.4479 (1.4326) Boundary_loss: 0.013276 (0.013244) Loss: 1.4612 (1.4458) +2025-08-21,02:32:36 | INFO | Train Epoch: 1 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 18.691 Boundary Ratio: 0.095 Contrastive_loss: 1.4881 (1.4338) Boundary_loss: 0.013357 (0.013246) Loss: 1.5015 (1.4470) +2025-08-21,02:33:41 | INFO | Train Epoch: 1 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 1.3043 (1.4310) Boundary_loss: 0.013169 (0.013245) Loss: 1.3175 (1.4443) +2025-08-21,02:34:46 | INFO | Train Epoch: 1 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 1.3128 (1.4286) Boundary_loss: 0.013371 (0.013247) Loss: 1.3262 (1.4418) +2025-08-21,02:35:51 | INFO | Train Epoch: 1 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 1.3529 (1.4270) Boundary_loss: 0.013283 (0.013248) Loss: 1.3662 (1.4403) +2025-08-21,02:36:56 | INFO | Train Epoch: 1 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 1.3953 (1.4264) Boundary_loss: 0.013281 (0.013249) Loss: 1.4086 (1.4396) +2025-08-21,02:38:01 | INFO | Train Epoch: 1 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 1.4969 (1.4278) Boundary_loss: 0.013310 (0.013250) Loss: 1.5102 (1.4410) +2025-08-21,02:39:07 | INFO | Train Epoch: 1 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 1.3449 (1.4262) Boundary_loss: 0.013360 (0.013252) Loss: 1.3582 (1.4394) +2025-08-21,02:40:12 | INFO | Train Epoch: 1 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 1.2448 (1.4227) Boundary_loss: 0.013081 (0.013249) Loss: 1.2579 (1.4360) +2025-08-21,02:41:17 | INFO | Train Epoch: 1 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 1.3512 (1.4214) Boundary_loss: 0.013232 (0.013248) Loss: 1.3644 (1.4347) +2025-08-21,02:42:22 | INFO | Train Epoch: 1 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 1.3453 (1.4200) Boundary_loss: 0.013115 (0.013246) Loss: 1.3584 (1.4333) +2025-08-21,02:43:27 | INFO | Train Epoch: 1 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 1.3875 (1.4195) Boundary_loss: 0.013217 (0.013246) Loss: 1.4007 (1.4327) +2025-08-21,02:44:32 | INFO | Train Epoch: 1 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 1.3518 (1.4183) Boundary_loss: 0.013204 (0.013245) Loss: 1.3650 (1.4315) +2025-08-21,02:45:38 | INFO | Train Epoch: 1 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 1.3739 (1.4175) Boundary_loss: 0.013182 (0.013244) Loss: 1.3871 (1.4307) +2025-08-21,02:46:43 | INFO | Train Epoch: 1 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 1.5858 (1.4204) Boundary_loss: 0.013212 (0.013243) Loss: 1.5990 (1.4336) +2025-08-21,02:47:48 | INFO | Train Epoch: 1 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 1.3914 (1.4199) Boundary_loss: 0.013311 (0.013244) Loss: 1.4047 (1.4331) +2025-08-21,02:48:53 | INFO | Train Epoch: 1 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 1.3328 (1.4184) Boundary_loss: 0.013183 (0.013243) Loss: 1.3460 (1.4317) +2025-08-21,02:49:58 | INFO | Train Epoch: 1 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 18.939 Boundary Ratio: 0.097 Contrastive_loss: 1.2797 (1.4162) Boundary_loss: 0.013275 (0.013244) Loss: 1.2930 (1.4295) +2025-08-21,02:51:03 | INFO | Train Epoch: 1 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 1.2822 (1.4141) Boundary_loss: 0.013258 (0.013244) Loss: 1.2955 (1.4273) +2025-08-21,02:52:09 | INFO | Train Epoch: 1 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 1.3759 (1.4135) Boundary_loss: 0.013215 (0.013244) Loss: 1.3891 (1.4267) +2025-08-21,02:53:14 | INFO | Train Epoch: 1 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 1.4675 (1.4143) Boundary_loss: 0.013269 (0.013244) Loss: 1.4807 (1.4276) +2025-08-21,02:54:19 | INFO | Train Epoch: 1 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 1.2678 (1.4121) Boundary_loss: 0.013112 (0.013242) Loss: 1.2809 (1.4253) +2025-08-21,02:55:24 | INFO | Train Epoch: 1 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 1.3527 (1.4112) Boundary_loss: 0.013130 (0.013240) Loss: 1.3658 (1.4244) +2025-08-21,02:56:29 | INFO | Train Epoch: 1 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.570 Boundary Ratio: 0.100 Contrastive_loss: 1.3908 (1.4109) Boundary_loss: 0.013225 (0.013240) Loss: 1.4040 (1.4241) +2025-08-21,02:57:35 | INFO | Train Epoch: 1 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 18.551 Boundary Ratio: 0.095 Contrastive_loss: 1.4767 (1.4119) Boundary_loss: 0.013383 (0.013242) Loss: 1.4901 (1.4251) +2025-08-21,02:58:40 | INFO | Train Epoch: 1 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.641 Boundary Ratio: 0.100 Contrastive_loss: 1.2419 (1.4094) Boundary_loss: 0.013023 (0.013239) Loss: 1.2549 (1.4227) +2025-08-21,02:59:45 | INFO | Train Epoch: 1 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 18.910 Boundary Ratio: 0.096 Contrastive_loss: 1.4097 (1.4094) Boundary_loss: 0.013240 (0.013239) Loss: 1.4229 (1.4227) +2025-08-21,03:00:50 | INFO | Train Epoch: 1 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 1.3453 (1.4085) Boundary_loss: 0.013149 (0.013238) Loss: 1.3585 (1.4218) +2025-08-21,03:01:56 | INFO | Train Epoch: 1 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 1.3841 (1.4082) Boundary_loss: 0.013316 (0.013239) Loss: 1.3974 (1.4214) +2025-08-21,03:03:01 | INFO | Train Epoch: 1 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 1.3663 (1.4076) Boundary_loss: 0.013063 (0.013237) Loss: 1.3794 (1.4209) +2025-08-21,03:04:06 | INFO | Train Epoch: 1 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 1.3168 (1.4064) Boundary_loss: 0.013327 (0.013238) Loss: 1.3301 (1.4197) +2025-08-21,03:05:11 | INFO | Train Epoch: 1 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 1.3896 (1.4062) Boundary_loss: 0.013136 (0.013236) Loss: 1.4027 (1.4194) +2025-08-21,03:06:16 | INFO | Train Epoch: 1 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 1.3756 (1.4058) Boundary_loss: 0.013203 (0.013236) Loss: 1.3888 (1.4190) +2025-08-21,03:07:22 | INFO | Train Epoch: 1 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 1.3218 (1.4047) Boundary_loss: 0.013285 (0.013237) Loss: 1.3351 (1.4180) +2025-08-21,03:08:27 | INFO | Train Epoch: 1 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 1.3081 (1.4035) Boundary_loss: 0.013225 (0.013236) Loss: 1.3213 (1.4167) +2025-08-21,03:09:32 | INFO | Train Epoch: 1 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 18.955 Boundary Ratio: 0.097 Contrastive_loss: 1.2973 (1.4022) Boundary_loss: 0.013306 (0.013237) Loss: 1.3106 (1.4154) +2025-08-21,03:10:37 | INFO | Train Epoch: 1 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 18.889 Boundary Ratio: 0.096 Contrastive_loss: 1.3633 (1.4017) Boundary_loss: 0.013218 (0.013237) Loss: 1.3765 (1.4149) +2025-08-21,03:11:43 | INFO | Train Epoch: 1 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 1.3631 (1.4012) Boundary_loss: 0.013169 (0.013236) Loss: 1.3763 (1.4145) +2025-08-21,03:12:48 | INFO | Train Epoch: 1 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 1.4028 (1.4013) Boundary_loss: 0.013191 (0.013236) Loss: 1.4159 (1.4145) +2025-08-21,03:13:53 | INFO | Train Epoch: 1 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 1.4178 (1.4015) Boundary_loss: 0.013230 (0.013236) Loss: 1.4310 (1.4147) +2025-08-21,03:14:59 | INFO | Train Epoch: 1 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 1.4459 (1.4020) Boundary_loss: 0.013160 (0.013235) Loss: 1.4590 (1.4152) +2025-08-21,03:16:04 | INFO | Train Epoch: 1 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 18.969 Boundary Ratio: 0.097 Contrastive_loss: 1.3069 (1.4009) Boundary_loss: 0.013236 (0.013235) Loss: 1.3202 (1.4141) +2025-08-21,03:17:09 | INFO | Train Epoch: 1 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 1.2681 (1.3993) Boundary_loss: 0.013077 (0.013233) Loss: 1.2812 (1.4126) +2025-08-21,03:18:14 | INFO | Train Epoch: 1 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 18.936 Boundary Ratio: 0.097 Contrastive_loss: 1.2435 (1.3976) Boundary_loss: 0.013413 (0.013235) Loss: 1.2569 (1.4108) +2025-08-21,03:19:20 | INFO | Train Epoch: 1 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 18.596 Boundary Ratio: 0.095 Contrastive_loss: 1.5756 (1.3996) Boundary_loss: 0.013137 (0.013234) Loss: 1.5887 (1.4128) +2025-08-21,03:20:25 | INFO | Train Epoch: 1 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 1.2567 (1.3980) Boundary_loss: 0.013182 (0.013233) Loss: 1.2699 (1.4112) +2025-08-21,03:21:30 | INFO | Train Epoch: 1 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 18.709 Boundary Ratio: 0.095 Contrastive_loss: 1.2190 (1.3960) Boundary_loss: 0.013320 (0.013234) Loss: 1.2323 (1.4093) +2025-08-21,03:22:36 | INFO | Train Epoch: 1 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 1.3488 (1.3955) Boundary_loss: 0.013237 (0.013234) Loss: 1.3621 (1.4087) +2025-08-21,03:23:41 | INFO | Train Epoch: 1 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 1.4164 (1.3957) Boundary_loss: 0.013349 (0.013236) Loss: 1.4297 (1.4090) +2025-08-21,03:24:46 | INFO | Train Epoch: 1 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.848 Boundary Ratio: 0.101 Contrastive_loss: 1.2776 (1.3945) Boundary_loss: 0.013230 (0.013235) Loss: 1.2908 (1.4077) +2025-08-21,03:25:51 | INFO | Train Epoch: 1 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 1.4109 (1.3946) Boundary_loss: 0.013224 (0.013235) Loss: 1.4241 (1.4079) +2025-08-21,03:26:57 | INFO | Train Epoch: 1 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 1.3333 (1.3940) Boundary_loss: 0.013170 (0.013235) Loss: 1.3464 (1.4072) +2025-08-21,03:28:02 | INFO | Train Epoch: 1 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 1.1842 (1.3918) Boundary_loss: 0.013405 (0.013236) Loss: 1.1976 (1.4051) +2025-08-21,03:29:07 | INFO | Train Epoch: 1 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 1.2875 (1.3908) Boundary_loss: 0.013289 (0.013237) Loss: 1.3008 (1.4040) +2025-08-21,03:30:12 | INFO | Train Epoch: 1 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 1.3268 (1.3901) Boundary_loss: 0.013455 (0.013239) Loss: 1.3402 (1.4034) +2025-08-21,03:31:18 | INFO | Train Epoch: 1 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 1.2076 (1.3883) Boundary_loss: 0.013089 (0.013238) Loss: 1.2207 (1.4015) +2025-08-21,03:32:23 | INFO | Train Epoch: 1 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 18.934 Boundary Ratio: 0.097 Contrastive_loss: 1.5105 (1.3895) Boundary_loss: 0.013257 (0.013238) Loss: 1.5238 (1.4028) +2025-08-21,03:33:28 | INFO | Train Epoch: 1 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.789 Boundary Ratio: 0.101 Contrastive_loss: 1.5024 (1.3906) Boundary_loss: 0.013336 (0.013239) Loss: 1.5157 (1.4039) +2025-08-21,03:34:34 | INFO | Train Epoch: 1 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 1.3871 (1.3906) Boundary_loss: 0.013391 (0.013240) Loss: 1.4005 (1.4038) +2025-08-21,03:35:39 | INFO | Train Epoch: 1 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 1.1316 (1.3881) Boundary_loss: 0.013262 (0.013240) Loss: 1.1449 (1.4013) +2025-08-21,03:36:44 | INFO | Train Epoch: 1 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 1.3713 (1.3879) Boundary_loss: 0.013149 (0.013240) Loss: 1.3844 (1.4012) +2025-08-21,03:37:49 | INFO | Train Epoch: 1 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 1.2247 (1.3864) Boundary_loss: 0.013156 (0.013239) Loss: 1.2378 (1.3996) +2025-08-21,03:38:55 | INFO | Train Epoch: 1 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 1.3317 (1.3859) Boundary_loss: 0.013230 (0.013239) Loss: 1.3450 (1.3991) +2025-08-21,03:40:00 | INFO | Train Epoch: 1 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 18.834 Boundary Ratio: 0.096 Contrastive_loss: 1.3128 (1.3852) Boundary_loss: 0.013228 (0.013239) Loss: 1.3261 (1.3984) +2025-08-21,03:41:05 | INFO | Train Epoch: 1 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 1.4124 (1.3855) Boundary_loss: 0.013078 (0.013237) Loss: 1.4255 (1.3987) +2025-08-21,03:42:11 | INFO | Train Epoch: 1 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 18.941 Boundary Ratio: 0.097 Contrastive_loss: 1.2578 (1.3843) Boundary_loss: 0.013221 (0.013237) Loss: 1.2710 (1.3975) +2025-08-21,03:43:16 | INFO | Train Epoch: 1 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 18.938 Boundary Ratio: 0.097 Contrastive_loss: 1.3004 (1.3835) Boundary_loss: 0.013293 (0.013238) Loss: 1.3136 (1.3968) +2025-08-21,03:44:21 | INFO | Train Epoch: 1 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.748 Boundary Ratio: 0.101 Contrastive_loss: 1.2114 (1.3820) Boundary_loss: 0.013312 (0.013238) Loss: 1.2247 (1.3952) +2025-08-21,03:45:26 | INFO | Train Epoch: 1 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 1.4152 (1.3823) Boundary_loss: 0.013211 (0.013238) Loss: 1.4284 (1.3955) +2025-08-21,03:46:32 | INFO | Train Epoch: 1 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 1.3689 (1.3822) Boundary_loss: 0.013145 (0.013237) Loss: 1.3820 (1.3954) +2025-08-21,03:47:37 | INFO | Train Epoch: 1 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 1.3173 (1.3816) Boundary_loss: 0.013278 (0.013237) Loss: 1.3306 (1.3949) +2025-08-21,03:48:42 | INFO | Train Epoch: 1 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 1.3756 (1.3816) Boundary_loss: 0.013147 (0.013237) Loss: 1.3887 (1.3948) +2025-08-21,03:49:47 | INFO | Train Epoch: 1 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 1.2115 (1.3801) Boundary_loss: 0.013353 (0.013238) Loss: 1.2249 (1.3933) +2025-08-21,03:50:53 | INFO | Train Epoch: 1 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 1.4030 (1.3803) Boundary_loss: 0.013226 (0.013238) Loss: 1.4162 (1.3935) +2025-08-21,03:51:58 | INFO | Train Epoch: 1 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 1.4021 (1.3805) Boundary_loss: 0.013258 (0.013238) Loss: 1.4154 (1.3937) +2025-08-21,03:53:03 | INFO | Train Epoch: 1 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 1.4006 (1.3807) Boundary_loss: 0.013322 (0.013238) Loss: 1.4139 (1.3939) +2025-08-21,03:54:08 | INFO | Train Epoch: 1 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.670 Boundary Ratio: 0.100 Contrastive_loss: 1.2671 (1.3797) Boundary_loss: 0.013273 (0.013239) Loss: 1.2804 (1.3930) +2025-08-21,03:55:14 | INFO | Train Epoch: 1 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 1.3848 (1.3798) Boundary_loss: 0.013262 (0.013239) Loss: 1.3980 (1.3930) +2025-08-21,03:56:19 | INFO | Train Epoch: 1 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 1.2029 (1.3783) Boundary_loss: 0.013166 (0.013238) Loss: 1.2160 (1.3916) +2025-08-21,03:57:24 | INFO | Train Epoch: 1 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 1.2262 (1.3771) Boundary_loss: 0.013162 (0.013238) Loss: 1.2393 (1.3903) +2025-08-21,03:58:30 | INFO | Train Epoch: 1 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 1.3513 (1.3769) Boundary_loss: 0.013218 (0.013238) Loss: 1.3645 (1.3901) +2025-08-21,03:59:35 | INFO | Train Epoch: 1 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 1.3326 (1.3765) Boundary_loss: 0.013318 (0.013238) Loss: 1.3459 (1.3898) +2025-08-21,04:00:40 | INFO | Train Epoch: 1 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 1.3209 (1.3761) Boundary_loss: 0.013197 (0.013238) Loss: 1.3341 (1.3893) +2025-08-21,04:01:45 | INFO | Train Epoch: 1 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 1.2083 (1.3748) Boundary_loss: 0.013229 (0.013238) Loss: 1.2215 (1.3880) +2025-08-21,04:02:51 | INFO | Train Epoch: 1 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 18.873 Boundary Ratio: 0.096 Contrastive_loss: 1.2148 (1.3735) Boundary_loss: 0.013082 (0.013237) Loss: 1.2278 (1.3868) +2025-08-21,04:03:56 | INFO | Train Epoch: 1 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 1.5565 (1.3750) Boundary_loss: 0.013333 (0.013237) Loss: 1.5699 (1.3882) +2025-08-21,04:05:01 | INFO | Train Epoch: 1 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 1.2619 (1.3741) Boundary_loss: 0.013165 (0.013237) Loss: 1.2750 (1.3873) +2025-08-21,04:06:07 | INFO | Train Epoch: 1 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 1.2507 (1.3732) Boundary_loss: 0.013184 (0.013236) Loss: 1.2639 (1.3864) +2025-08-21,04:07:12 | INFO | Train Epoch: 1 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 1.2524 (1.3722) Boundary_loss: 0.013097 (0.013235) Loss: 1.2655 (1.3855) +2025-08-21,04:08:17 | INFO | Train Epoch: 1 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 1.2143 (1.3711) Boundary_loss: 0.013194 (0.013235) Loss: 1.2275 (1.3843) +2025-08-21,04:09:22 | INFO | Train Epoch: 1 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 1.4507 (1.3717) Boundary_loss: 0.013200 (0.013235) Loss: 1.4639 (1.3849) +2025-08-21,04:10:28 | INFO | Train Epoch: 1 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 1.2283 (1.3706) Boundary_loss: 0.013192 (0.013234) Loss: 1.2415 (1.3838) +2025-08-21,04:11:33 | INFO | Train Epoch: 1 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 1.3296 (1.3703) Boundary_loss: 0.013213 (0.013234) Loss: 1.3428 (1.3835) +2025-08-21,04:12:38 | INFO | Train Epoch: 1 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 1.2448 (1.3694) Boundary_loss: 0.013235 (0.013234) Loss: 1.2580 (1.3826) +2025-08-21,04:13:44 | INFO | Train Epoch: 1 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 1.2546 (1.3686) Boundary_loss: 0.013188 (0.013234) Loss: 1.2678 (1.3818) +2025-08-21,04:14:49 | INFO | Train Epoch: 1 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 1.1550 (1.3670) Boundary_loss: 0.013216 (0.013234) Loss: 1.1682 (1.3803) +2025-08-21,04:15:54 | INFO | Train Epoch: 1 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.578 Boundary Ratio: 0.100 Contrastive_loss: 1.2866 (1.3665) Boundary_loss: 0.013241 (0.013234) Loss: 1.2999 (1.3797) +2025-08-21,04:17:00 | INFO | Train Epoch: 1 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 1.1696 (1.3651) Boundary_loss: 0.013169 (0.013233) Loss: 1.1828 (1.3783) +2025-08-21,04:18:05 | INFO | Train Epoch: 1 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 1.1502 (1.3636) Boundary_loss: 0.013160 (0.013233) Loss: 1.1633 (1.3768) +2025-08-21,04:19:10 | INFO | Train Epoch: 1 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 1.4231 (1.3640) Boundary_loss: 0.013241 (0.013233) Loss: 1.4364 (1.3772) +2025-08-21,04:20:15 | INFO | Train Epoch: 1 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.570 Boundary Ratio: 0.100 Contrastive_loss: 1.2761 (1.3634) Boundary_loss: 0.013344 (0.013234) Loss: 1.2894 (1.3766) +2025-08-21,04:21:21 | INFO | Train Epoch: 1 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 1.2682 (1.3627) Boundary_loss: 0.013148 (0.013233) Loss: 1.2814 (1.3760) +2025-08-21,04:22:26 | INFO | Train Epoch: 1 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 1.3506 (1.3627) Boundary_loss: 0.013313 (0.013234) Loss: 1.3639 (1.3759) +2025-08-21,04:23:31 | INFO | Train Epoch: 1 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 1.2269 (1.3617) Boundary_loss: 0.013201 (0.013233) Loss: 1.2401 (1.3750) +2025-08-21,04:24:37 | INFO | Train Epoch: 1 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.590 Boundary Ratio: 0.100 Contrastive_loss: 1.2929 (1.3613) Boundary_loss: 0.013224 (0.013233) Loss: 1.3062 (1.3745) +2025-08-21,04:25:42 | INFO | Train Epoch: 1 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 1.3664 (1.3613) Boundary_loss: 0.013312 (0.013234) Loss: 1.3797 (1.3745) +2025-08-21,04:26:47 | INFO | Train Epoch: 1 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 1.1997 (1.3602) Boundary_loss: 0.013222 (0.013234) Loss: 1.2129 (1.3735) +2025-08-21,04:27:53 | INFO | Train Epoch: 1 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 1.2911 (1.3598) Boundary_loss: 0.013277 (0.013234) Loss: 1.3044 (1.3730) +2025-08-21,04:28:58 | INFO | Train Epoch: 1 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 1.2952 (1.3594) Boundary_loss: 0.013173 (0.013234) Loss: 1.3083 (1.3726) +2025-08-21,04:30:03 | INFO | Train Epoch: 1 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 1.1743 (1.3582) Boundary_loss: 0.013239 (0.013234) Loss: 1.1876 (1.3714) +2025-08-21,04:31:08 | INFO | Train Epoch: 1 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 1.2625 (1.3575) Boundary_loss: 0.013421 (0.013235) Loss: 1.2759 (1.3708) +2025-08-21,04:32:14 | INFO | Train Epoch: 1 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 1.2792 (1.3570) Boundary_loss: 0.013195 (0.013235) Loss: 1.2924 (1.3703) +2025-08-21,04:33:19 | INFO | Train Epoch: 1 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 1.2960 (1.3567) Boundary_loss: 0.013308 (0.013235) Loss: 1.3093 (1.3699) +2025-08-21,04:34:24 | INFO | Train Epoch: 1 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 18.963 Boundary Ratio: 0.097 Contrastive_loss: 1.2410 (1.3559) Boundary_loss: 0.013050 (0.013234) Loss: 1.2541 (1.3692) +2025-08-21,04:35:30 | INFO | Train Epoch: 1 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.613 Boundary Ratio: 0.100 Contrastive_loss: 1.2815 (1.3555) Boundary_loss: 0.013061 (0.013233) Loss: 1.2945 (1.3687) +2025-08-21,04:36:35 | INFO | Train Epoch: 1 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 1.3697 (1.3555) Boundary_loss: 0.013227 (0.013233) Loss: 1.3830 (1.3688) +2025-08-21,04:37:40 | INFO | Train Epoch: 1 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 18.934 Boundary Ratio: 0.097 Contrastive_loss: 1.2885 (1.3551) Boundary_loss: 0.013172 (0.013233) Loss: 1.3017 (1.3684) +2025-08-21,04:38:46 | INFO | Train Epoch: 1 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.680 Boundary Ratio: 0.100 Contrastive_loss: 1.4095 (1.3555) Boundary_loss: 0.013071 (0.013232) Loss: 1.4226 (1.3687) +2025-08-21,04:39:51 | INFO | Train Epoch: 1 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 1.2854 (1.3550) Boundary_loss: 0.013119 (0.013231) Loss: 1.2985 (1.3683) +2025-08-21,04:40:56 | INFO | Train Epoch: 1 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 1.3220 (1.3548) Boundary_loss: 0.013303 (0.013231) Loss: 1.3353 (1.3681) +2025-08-21,04:42:02 | INFO | Train Epoch: 1 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 1.2469 (1.3542) Boundary_loss: 0.013223 (0.013231) Loss: 1.2601 (1.3674) +2025-08-21,04:43:07 | INFO | Train Epoch: 1 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 1.1477 (1.3529) Boundary_loss: 0.013118 (0.013231) Loss: 1.1608 (1.3662) +2025-08-21,04:44:12 | INFO | Train Epoch: 1 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 1.2951 (1.3526) Boundary_loss: 0.013281 (0.013231) Loss: 1.3084 (1.3658) +2025-08-21,04:45:18 | INFO | Train Epoch: 1 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 1.2536 (1.3520) Boundary_loss: 0.013229 (0.013231) Loss: 1.2669 (1.3652) +2025-08-21,04:46:23 | INFO | Train Epoch: 1 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 18.877 Boundary Ratio: 0.096 Contrastive_loss: 1.1989 (1.3511) Boundary_loss: 0.013114 (0.013230) Loss: 1.2120 (1.3643) +2025-08-21,04:47:28 | INFO | Train Epoch: 1 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 1.2277 (1.3504) Boundary_loss: 0.013338 (0.013231) Loss: 1.2410 (1.3636) +2025-08-21,04:48:34 | INFO | Train Epoch: 1 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 1.1877 (1.3494) Boundary_loss: 0.013265 (0.013231) Loss: 1.2009 (1.3626) +2025-08-21,04:49:39 | INFO | Train Epoch: 1 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 1.0443 (1.3476) Boundary_loss: 0.013094 (0.013230) Loss: 1.0574 (1.3609) +2025-08-21,04:50:44 | INFO | Train Epoch: 1 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 1.3209 (1.3475) Boundary_loss: 0.013267 (0.013230) Loss: 1.3342 (1.3607) +2025-08-21,04:51:50 | INFO | Train Epoch: 1 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 1.3067 (1.3473) Boundary_loss: 0.013255 (0.013231) Loss: 1.3200 (1.3605) +2025-08-21,04:52:55 | INFO | Train Epoch: 1 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 1.3997 (1.3476) Boundary_loss: 0.013082 (0.013230) Loss: 1.4127 (1.3608) +2025-08-21,04:54:00 | INFO | Train Epoch: 1 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 18.928 Boundary Ratio: 0.097 Contrastive_loss: 1.2857 (1.3472) Boundary_loss: 0.013223 (0.013230) Loss: 1.2989 (1.3604) +2025-08-21,04:55:05 | INFO | Train Epoch: 1 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 1.1235 (1.3459) Boundary_loss: 0.013180 (0.013229) Loss: 1.1367 (1.3592) +2025-08-21,04:56:11 | INFO | Train Epoch: 1 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.672 Boundary Ratio: 0.100 Contrastive_loss: 1.2335 (1.3453) Boundary_loss: 0.013184 (0.013229) Loss: 1.2467 (1.3585) +2025-08-21,04:57:16 | INFO | Train Epoch: 1 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 1.4085 (1.3457) Boundary_loss: 0.013219 (0.013229) Loss: 1.4217 (1.3589) +2025-08-21,04:58:22 | INFO | Train Epoch: 1 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 18.828 Boundary Ratio: 0.096 Contrastive_loss: 1.3646 (1.3458) Boundary_loss: 0.013195 (0.013229) Loss: 1.3778 (1.3590) +2025-08-21,04:59:27 | INFO | Train Epoch: 1 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 1.2212 (1.3451) Boundary_loss: 0.013069 (0.013228) Loss: 1.2343 (1.3583) +2025-08-21,05:00:32 | INFO | Train Epoch: 1 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 1.2994 (1.3448) Boundary_loss: 0.013299 (0.013228) Loss: 1.3127 (1.3581) +2025-08-21,05:01:38 | INFO | Train Epoch: 1 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 1.0903 (1.3434) Boundary_loss: 0.013234 (0.013228) Loss: 1.1035 (1.3567) +2025-08-21,05:02:43 | INFO | Train Epoch: 1 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 1.2078 (1.3427) Boundary_loss: 0.013332 (0.013229) Loss: 1.2212 (1.3559) +2025-08-21,05:03:48 | INFO | Train Epoch: 1 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 1.3313 (1.3426) Boundary_loss: 0.013166 (0.013229) Loss: 1.3445 (1.3559) +2025-08-21,05:04:54 | INFO | Train Epoch: 1 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 1.2603 (1.3422) Boundary_loss: 0.013207 (0.013229) Loss: 1.2735 (1.3554) +2025-08-21,05:05:59 | INFO | Train Epoch: 1 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 1.2488 (1.3417) Boundary_loss: 0.013254 (0.013229) Loss: 1.2620 (1.3549) +2025-08-21,05:07:04 | INFO | Train Epoch: 1 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 1.2569 (1.3412) Boundary_loss: 0.013140 (0.013228) Loss: 1.2701 (1.3545) +2025-08-21,05:08:10 | INFO | Train Epoch: 1 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 1.2494 (1.3408) Boundary_loss: 0.013208 (0.013228) Loss: 1.2626 (1.3540) +2025-08-21,05:09:15 | INFO | Train Epoch: 1 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 1.2212 (1.3401) Boundary_loss: 0.013144 (0.013228) Loss: 1.2344 (1.3534) +2025-08-21,05:10:20 | INFO | Train Epoch: 1 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 1.2280 (1.3395) Boundary_loss: 0.013165 (0.013227) Loss: 1.2412 (1.3528) +2025-08-21,05:11:25 | INFO | Train Epoch: 1 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 1.1295 (1.3384) Boundary_loss: 0.013137 (0.013227) Loss: 1.1426 (1.3517) +2025-08-21,05:12:31 | INFO | Train Epoch: 1 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 18.898 Boundary Ratio: 0.096 Contrastive_loss: 1.2042 (1.3378) Boundary_loss: 0.013140 (0.013226) Loss: 1.2173 (1.3510) +2025-08-21,05:13:36 | INFO | Train Epoch: 1 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 1.2649 (1.3374) Boundary_loss: 0.013296 (0.013227) Loss: 1.2782 (1.3506) +2025-08-21,05:14:41 | INFO | Train Epoch: 1 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 18.871 Boundary Ratio: 0.096 Contrastive_loss: 1.2585 (1.3370) Boundary_loss: 0.013261 (0.013227) Loss: 1.2718 (1.3502) +2025-08-21,05:15:47 | INFO | Train Epoch: 1 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 18.939 Boundary Ratio: 0.097 Contrastive_loss: 1.4312 (1.3375) Boundary_loss: 0.013102 (0.013226) Loss: 1.4443 (1.3507) +2025-08-21,05:16:52 | INFO | Train Epoch: 1 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.602 Boundary Ratio: 0.100 Contrastive_loss: 1.3715 (1.3376) Boundary_loss: 0.013265 (0.013226) Loss: 1.3848 (1.3509) +2025-08-21,05:17:57 | INFO | Train Epoch: 1 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 1.3891 (1.3379) Boundary_loss: 0.013200 (0.013226) Loss: 1.4023 (1.3511) +2025-08-21,05:19:03 | INFO | Train Epoch: 1 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 1.1109 (1.3367) Boundary_loss: 0.013268 (0.013227) Loss: 1.1242 (1.3500) +2025-08-21,05:20:08 | INFO | Train Epoch: 1 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 1.2637 (1.3364) Boundary_loss: 0.013241 (0.013227) Loss: 1.2770 (1.3496) +2025-08-21,05:21:14 | INFO | Train Epoch: 1 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 1.2531 (1.3360) Boundary_loss: 0.013164 (0.013226) Loss: 1.2663 (1.3492) +2025-08-21,05:22:19 | INFO | Train Epoch: 1 [10291712/26365952 (39%)] Avg Boundaries (per batch): 18.566 Boundary Ratio: 0.095 Contrastive_loss: 1.2408 (1.3355) Boundary_loss: 0.013303 (0.013227) Loss: 1.2542 (1.3487) +2025-08-21,05:23:24 | INFO | Train Epoch: 1 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 1.3273 (1.3355) Boundary_loss: 0.013270 (0.013227) Loss: 1.3406 (1.3487) +2025-08-21,05:24:30 | INFO | Train Epoch: 1 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 1.2457 (1.3350) Boundary_loss: 0.013196 (0.013227) Loss: 1.2589 (1.3482) +2025-08-21,05:25:35 | INFO | Train Epoch: 1 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 1.3253 (1.3350) Boundary_loss: 0.013263 (0.013227) Loss: 1.3386 (1.3482) +2025-08-21,05:26:40 | INFO | Train Epoch: 1 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 1.2559 (1.3346) Boundary_loss: 0.013177 (0.013227) Loss: 1.2691 (1.3478) +2025-08-21,05:27:46 | INFO | Train Epoch: 1 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.711 Boundary Ratio: 0.101 Contrastive_loss: 1.3494 (1.3347) Boundary_loss: 0.013180 (0.013226) Loss: 1.3625 (1.3479) +2025-08-21,05:28:51 | INFO | Train Epoch: 1 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 1.3511 (1.3347) Boundary_loss: 0.013270 (0.013227) Loss: 1.3644 (1.3480) +2025-08-21,05:29:56 | INFO | Train Epoch: 1 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 1.1024 (1.3336) Boundary_loss: 0.013258 (0.013227) Loss: 1.1157 (1.3468) +2025-08-21,05:31:02 | INFO | Train Epoch: 1 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.725 Boundary Ratio: 0.101 Contrastive_loss: 1.3095 (1.3335) Boundary_loss: 0.013264 (0.013227) Loss: 1.3228 (1.3467) +2025-08-21,05:32:07 | INFO | Train Epoch: 1 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 1.0550 (1.3322) Boundary_loss: 0.013106 (0.013226) Loss: 1.0681 (1.3454) +2025-08-21,05:33:13 | INFO | Train Epoch: 1 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 1.0956 (1.3311) Boundary_loss: 0.013127 (0.013226) Loss: 1.1087 (1.3443) +2025-08-21,05:34:18 | INFO | Train Epoch: 1 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 1.1478 (1.3302) Boundary_loss: 0.013222 (0.013226) Loss: 1.1610 (1.3434) +2025-08-21,05:35:23 | INFO | Train Epoch: 1 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 1.2568 (1.3299) Boundary_loss: 0.013212 (0.013226) Loss: 1.2700 (1.3431) +2025-08-21,05:36:29 | INFO | Train Epoch: 1 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 1.0751 (1.3287) Boundary_loss: 0.013158 (0.013226) Loss: 1.0883 (1.3419) +2025-08-21,05:37:34 | INFO | Train Epoch: 1 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 1.3546 (1.3288) Boundary_loss: 0.013098 (0.013225) Loss: 1.3677 (1.3420) +2025-08-21,05:38:39 | INFO | Train Epoch: 1 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 1.1943 (1.3282) Boundary_loss: 0.013072 (0.013224) Loss: 1.2073 (1.3414) +2025-08-21,05:39:45 | INFO | Train Epoch: 1 [11110912/26365952 (42%)] Avg Boundaries (per batch): 18.979 Boundary Ratio: 0.097 Contrastive_loss: 1.2858 (1.3280) Boundary_loss: 0.013251 (0.013224) Loss: 1.2991 (1.3412) +2025-08-21,05:40:50 | INFO | Train Epoch: 1 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 1.1321 (1.3271) Boundary_loss: 0.013199 (0.013224) Loss: 1.1453 (1.3403) +2025-08-21,05:41:55 | INFO | Train Epoch: 1 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 1.1262 (1.3262) Boundary_loss: 0.013195 (0.013224) Loss: 1.1394 (1.3394) +2025-08-21,05:43:01 | INFO | Train Epoch: 1 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 1.2377 (1.3258) Boundary_loss: 0.013109 (0.013224) Loss: 1.2508 (1.3390) +2025-08-21,05:44:06 | INFO | Train Epoch: 1 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.879 Boundary Ratio: 0.101 Contrastive_loss: 1.2323 (1.3254) Boundary_loss: 0.013282 (0.013224) Loss: 1.2456 (1.3386) +2025-08-21,05:45:11 | INFO | Train Epoch: 1 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 1.2412 (1.3250) Boundary_loss: 0.013191 (0.013224) Loss: 1.2544 (1.3382) +2025-08-21,05:46:17 | INFO | Train Epoch: 1 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 1.2421 (1.3246) Boundary_loss: 0.013248 (0.013224) Loss: 1.2553 (1.3378) +2025-08-21,05:47:22 | INFO | Train Epoch: 1 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 1.2461 (1.3243) Boundary_loss: 0.013068 (0.013223) Loss: 1.2591 (1.3375) +2025-08-21,05:48:27 | INFO | Train Epoch: 1 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 1.2655 (1.3240) Boundary_loss: 0.013205 (0.013223) Loss: 1.2787 (1.3372) +2025-08-21,05:49:33 | INFO | Train Epoch: 1 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.525 Boundary Ratio: 0.100 Contrastive_loss: 1.2257 (1.3236) Boundary_loss: 0.013118 (0.013223) Loss: 1.2388 (1.3368) +2025-08-21,05:50:38 | INFO | Train Epoch: 1 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 1.1844 (1.3230) Boundary_loss: 0.013244 (0.013223) Loss: 1.1977 (1.3362) +2025-08-21,05:51:44 | INFO | Train Epoch: 1 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 1.2769 (1.3228) Boundary_loss: 0.013271 (0.013223) Loss: 1.2902 (1.3360) +2025-08-21,05:52:49 | INFO | Train Epoch: 1 [11725312/26365952 (44%)] Avg Boundaries (per batch): 18.600 Boundary Ratio: 0.095 Contrastive_loss: 1.2442 (1.3224) Boundary_loss: 0.013170 (0.013223) Loss: 1.2574 (1.3356) +2025-08-21,05:53:54 | INFO | Train Epoch: 1 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 1.1498 (1.3217) Boundary_loss: 0.013127 (0.013222) Loss: 1.1629 (1.3349) +2025-08-21,05:55:00 | INFO | Train Epoch: 1 [11827712/26365952 (45%)] Avg Boundaries (per batch): 18.869 Boundary Ratio: 0.096 Contrastive_loss: 1.1497 (1.3209) Boundary_loss: 0.013115 (0.013222) Loss: 1.1629 (1.3342) +2025-08-21,05:56:05 | INFO | Train Epoch: 1 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 1.3047 (1.3209) Boundary_loss: 0.013286 (0.013222) Loss: 1.3180 (1.3341) +2025-08-21,05:57:10 | INFO | Train Epoch: 1 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 1.1583 (1.3202) Boundary_loss: 0.013099 (0.013222) Loss: 1.1714 (1.3334) +2025-08-21,05:58:16 | INFO | Train Epoch: 1 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 1.1158 (1.3193) Boundary_loss: 0.013137 (0.013221) Loss: 1.1289 (1.3325) +2025-08-21,05:59:21 | INFO | Train Epoch: 1 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 1.3080 (1.3192) Boundary_loss: 0.013097 (0.013221) Loss: 1.3211 (1.3325) +2025-08-21,06:00:26 | INFO | Train Epoch: 1 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 1.2913 (1.3191) Boundary_loss: 0.013299 (0.013221) Loss: 1.3046 (1.3323) +2025-08-21,06:01:32 | INFO | Train Epoch: 1 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 1.1549 (1.3184) Boundary_loss: 0.013101 (0.013220) Loss: 1.1680 (1.3317) +2025-08-21,06:02:37 | INFO | Train Epoch: 1 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 1.2059 (1.3180) Boundary_loss: 0.013256 (0.013221) Loss: 1.2191 (1.3312) +2025-08-21,06:03:43 | INFO | Train Epoch: 1 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 1.1222 (1.3172) Boundary_loss: 0.013103 (0.013220) Loss: 1.1353 (1.3304) +2025-08-21,06:04:48 | INFO | Train Epoch: 1 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 1.2352 (1.3168) Boundary_loss: 0.013232 (0.013220) Loss: 1.2484 (1.3300) +2025-08-21,06:05:53 | INFO | Train Epoch: 1 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 1.1918 (1.3163) Boundary_loss: 0.013170 (0.013220) Loss: 1.2049 (1.3295) +2025-08-21,06:06:59 | INFO | Train Epoch: 1 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 1.0818 (1.3153) Boundary_loss: 0.013093 (0.013219) Loss: 1.0949 (1.3285) +2025-08-21,06:08:04 | INFO | Train Epoch: 1 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 1.1600 (1.3147) Boundary_loss: 0.013141 (0.013219) Loss: 1.1731 (1.3279) +2025-08-21,06:09:09 | INFO | Train Epoch: 1 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 1.0857 (1.3138) Boundary_loss: 0.013099 (0.013219) Loss: 1.0988 (1.3270) +2025-08-21,06:10:15 | INFO | Train Epoch: 1 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 1.1269 (1.3130) Boundary_loss: 0.013279 (0.013219) Loss: 1.1402 (1.3262) +2025-08-21,06:11:20 | INFO | Train Epoch: 1 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 1.1789 (1.3125) Boundary_loss: 0.013097 (0.013218) Loss: 1.1920 (1.3257) +2025-08-21,06:12:25 | INFO | Train Epoch: 1 [12646912/26365952 (48%)] Avg Boundaries (per batch): 18.900 Boundary Ratio: 0.096 Contrastive_loss: 1.2025 (1.3120) Boundary_loss: 0.013118 (0.013218) Loss: 1.2156 (1.3252) +2025-08-21,06:13:31 | INFO | Train Epoch: 1 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 1.1181 (1.3112) Boundary_loss: 0.013079 (0.013217) Loss: 1.1312 (1.3245) +2025-08-21,06:14:36 | INFO | Train Epoch: 1 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 1.2400 (1.3109) Boundary_loss: 0.013236 (0.013218) Loss: 1.2532 (1.3242) +2025-08-21,06:15:42 | INFO | Train Epoch: 1 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.637 Boundary Ratio: 0.100 Contrastive_loss: 1.0025 (1.3097) Boundary_loss: 0.013203 (0.013217) Loss: 1.0157 (1.3229) +2025-08-21,06:16:47 | INFO | Train Epoch: 1 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 1.1582 (1.3091) Boundary_loss: 0.013252 (0.013218) Loss: 1.1715 (1.3223) +2025-08-21,06:17:52 | INFO | Train Epoch: 1 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.641 Boundary Ratio: 0.100 Contrastive_loss: 1.2489 (1.3089) Boundary_loss: 0.013215 (0.013218) Loss: 1.2621 (1.3221) +2025-08-21,06:18:58 | INFO | Train Epoch: 1 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 1.2462 (1.3086) Boundary_loss: 0.013033 (0.013217) Loss: 1.2592 (1.3219) +2025-08-21,06:20:03 | INFO | Train Epoch: 1 [13005312/26365952 (49%)] Avg Boundaries (per batch): 18.844 Boundary Ratio: 0.096 Contrastive_loss: 1.1832 (1.3081) Boundary_loss: 0.013133 (0.013217) Loss: 1.1963 (1.3214) +2025-08-21,06:21:08 | INFO | Train Epoch: 1 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 1.2146 (1.3078) Boundary_loss: 0.013234 (0.013217) Loss: 1.2278 (1.3210) +2025-08-21,06:22:14 | INFO | Train Epoch: 1 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 1.0647 (1.3068) Boundary_loss: 0.013278 (0.013217) Loss: 1.0780 (1.3200) +2025-08-21,06:23:19 | INFO | Train Epoch: 1 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.660 Boundary Ratio: 0.100 Contrastive_loss: 1.0777 (1.3059) Boundary_loss: 0.013277 (0.013217) Loss: 1.0910 (1.3192) +2025-08-21,06:24:25 | INFO | Train Epoch: 1 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 1.2713 (1.3058) Boundary_loss: 0.013139 (0.013217) Loss: 1.2845 (1.3190) +2025-08-21,06:25:30 | INFO | Train Epoch: 1 [13261312/26365952 (50%)] Avg Boundaries (per batch): 18.961 Boundary Ratio: 0.097 Contrastive_loss: 1.1418 (1.3052) Boundary_loss: 0.013268 (0.013217) Loss: 1.1551 (1.3184) +2025-08-21,06:26:35 | INFO | Train Epoch: 1 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 1.1891 (1.3047) Boundary_loss: 0.013140 (0.013217) Loss: 1.2022 (1.3180) +2025-08-21,06:27:41 | INFO | Train Epoch: 1 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 1.1752 (1.3042) Boundary_loss: 0.013246 (0.013217) Loss: 1.1884 (1.3175) +2025-08-21,06:28:46 | INFO | Train Epoch: 1 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 1.1790 (1.3038) Boundary_loss: 0.013210 (0.013217) Loss: 1.1922 (1.3170) +2025-08-21,06:29:51 | INFO | Train Epoch: 1 [13466112/26365952 (51%)] Avg Boundaries (per batch): 18.908 Boundary Ratio: 0.096 Contrastive_loss: 1.1683 (1.3033) Boundary_loss: 0.013236 (0.013217) Loss: 1.1815 (1.3165) +2025-08-21,06:30:57 | INFO | Train Epoch: 1 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.023 Boundary Ratio: 0.097 Contrastive_loss: 1.1754 (1.3028) Boundary_loss: 0.013068 (0.013216) Loss: 1.1885 (1.3160) +2025-08-21,06:32:02 | INFO | Train Epoch: 1 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 1.2034 (1.3024) Boundary_loss: 0.013220 (0.013216) Loss: 1.2166 (1.3156) +2025-08-21,06:33:08 | INFO | Train Epoch: 1 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 1.2572 (1.3022) Boundary_loss: 0.013208 (0.013216) Loss: 1.2704 (1.3154) +2025-08-21,06:34:13 | INFO | Train Epoch: 1 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 1.2724 (1.3021) Boundary_loss: 0.013113 (0.013216) Loss: 1.2855 (1.3153) +2025-08-21,06:35:19 | INFO | Train Epoch: 1 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 1.2101 (1.3018) Boundary_loss: 0.013102 (0.013215) Loss: 1.2232 (1.3150) +2025-08-21,06:36:24 | INFO | Train Epoch: 1 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 1.1024 (1.3010) Boundary_loss: 0.013144 (0.013215) Loss: 1.1156 (1.3142) +2025-08-21,06:37:29 | INFO | Train Epoch: 1 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 1.3301 (1.3011) Boundary_loss: 0.013161 (0.013215) Loss: 1.3433 (1.3144) +2025-08-21,06:38:35 | INFO | Train Epoch: 1 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 1.1727 (1.3007) Boundary_loss: 0.013061 (0.013214) Loss: 1.1857 (1.3139) +2025-08-21,06:39:40 | INFO | Train Epoch: 1 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 1.1386 (1.3001) Boundary_loss: 0.013110 (0.013214) Loss: 1.1517 (1.3133) +2025-08-21,06:40:45 | INFO | Train Epoch: 1 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 1.2361 (1.2998) Boundary_loss: 0.013138 (0.013214) Loss: 1.2492 (1.3131) +2025-08-21,06:41:51 | INFO | Train Epoch: 1 [14029312/26365952 (53%)] Avg Boundaries (per batch): 18.963 Boundary Ratio: 0.097 Contrastive_loss: 1.1125 (1.2992) Boundary_loss: 0.013056 (0.013213) Loss: 1.1256 (1.3124) +2025-08-21,06:42:56 | INFO | Train Epoch: 1 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 1.3048 (1.2992) Boundary_loss: 0.013314 (0.013214) Loss: 1.3181 (1.3124) +2025-08-21,06:44:01 | INFO | Train Epoch: 1 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 1.0619 (1.2983) Boundary_loss: 0.013050 (0.013213) Loss: 1.0750 (1.3115) +2025-08-21,06:45:07 | INFO | Train Epoch: 1 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 1.2278 (1.2981) Boundary_loss: 0.013286 (0.013213) Loss: 1.2410 (1.3113) +2025-08-21,06:46:12 | INFO | Train Epoch: 1 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.793 Boundary Ratio: 0.101 Contrastive_loss: 1.0998 (1.2974) Boundary_loss: 0.013238 (0.013213) Loss: 1.1130 (1.3106) +2025-08-21,06:47:18 | INFO | Train Epoch: 1 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 1.1854 (1.2970) Boundary_loss: 0.013195 (0.013213) Loss: 1.1986 (1.3102) +2025-08-21,06:48:23 | INFO | Train Epoch: 1 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 1.1180 (1.2963) Boundary_loss: 0.013281 (0.013213) Loss: 1.1313 (1.3095) +2025-08-21,06:49:28 | INFO | Train Epoch: 1 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.607 Boundary Ratio: 0.100 Contrastive_loss: 1.0038 (1.2953) Boundary_loss: 0.013181 (0.013213) Loss: 1.0170 (1.3085) +2025-08-21,06:50:34 | INFO | Train Epoch: 1 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.688 Boundary Ratio: 0.100 Contrastive_loss: 1.2594 (1.2952) Boundary_loss: 0.013271 (0.013214) Loss: 1.2726 (1.3084) +2025-08-21,06:51:39 | INFO | Train Epoch: 1 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 1.2842 (1.2951) Boundary_loss: 0.013199 (0.013214) Loss: 1.2974 (1.3083) +2025-08-21,06:52:45 | INFO | Train Epoch: 1 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 1.0647 (1.2943) Boundary_loss: 0.013417 (0.013214) Loss: 1.0781 (1.3075) +2025-08-21,06:53:50 | INFO | Train Epoch: 1 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 1.0319 (1.2934) Boundary_loss: 0.013211 (0.013214) Loss: 1.0451 (1.3066) +2025-08-21,06:54:55 | INFO | Train Epoch: 1 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 1.1178 (1.2928) Boundary_loss: 0.013075 (0.013214) Loss: 1.1309 (1.3060) +2025-08-21,06:56:01 | INFO | Train Epoch: 1 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 1.2018 (1.2925) Boundary_loss: 0.013181 (0.013214) Loss: 1.2150 (1.3057) +2025-08-21,06:57:06 | INFO | Train Epoch: 1 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 1.1796 (1.2921) Boundary_loss: 0.013046 (0.013213) Loss: 1.1927 (1.3053) +2025-08-21,06:58:12 | INFO | Train Epoch: 1 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 1.1214 (1.2915) Boundary_loss: 0.013114 (0.013213) Loss: 1.1345 (1.3047) +2025-08-21,06:59:17 | INFO | Train Epoch: 1 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 1.1804 (1.2911) Boundary_loss: 0.013065 (0.013212) Loss: 1.1935 (1.3043) +2025-08-21,07:00:23 | INFO | Train Epoch: 1 [14899712/26365952 (57%)] Avg Boundaries (per batch): 18.896 Boundary Ratio: 0.096 Contrastive_loss: 1.0511 (1.2903) Boundary_loss: 0.013249 (0.013212) Loss: 1.0644 (1.3035) +2025-08-21,07:01:28 | INFO | Train Epoch: 1 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 1.0799 (1.2896) Boundary_loss: 0.013240 (0.013212) Loss: 1.0932 (1.3028) +2025-08-21,07:02:34 | INFO | Train Epoch: 1 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.885 Boundary Ratio: 0.101 Contrastive_loss: 1.2039 (1.2893) Boundary_loss: 0.013288 (0.013213) Loss: 1.2172 (1.3025) +2025-08-21,07:03:39 | INFO | Train Epoch: 1 [15053312/26365952 (57%)] Avg Boundaries (per batch): 18.910 Boundary Ratio: 0.096 Contrastive_loss: 1.0609 (1.2885) Boundary_loss: 0.013083 (0.013212) Loss: 1.0740 (1.3017) +2025-08-21,07:04:45 | INFO | Train Epoch: 1 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 1.1432 (1.2880) Boundary_loss: 0.013241 (0.013212) Loss: 1.1565 (1.3012) +2025-08-21,07:05:50 | INFO | Train Epoch: 1 [15155712/26365952 (57%)] Avg Boundaries (per batch): 18.834 Boundary Ratio: 0.096 Contrastive_loss: 1.1720 (1.2876) Boundary_loss: 0.013142 (0.013212) Loss: 1.1852 (1.3008) +2025-08-21,07:06:55 | INFO | Train Epoch: 1 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 1.1943 (1.2873) Boundary_loss: 0.013160 (0.013212) Loss: 1.2075 (1.3005) +2025-08-21,07:08:01 | INFO | Train Epoch: 1 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 1.2747 (1.2873) Boundary_loss: 0.013374 (0.013212) Loss: 1.2880 (1.3005) +2025-08-21,07:09:06 | INFO | Train Epoch: 1 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.96869 (1.2862) Boundary_loss: 0.013101 (0.013212) Loss: 0.98179 (1.2994) +2025-08-21,07:10:11 | INFO | Train Epoch: 1 [15360512/26365952 (58%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 1.1240 (1.2857) Boundary_loss: 0.013287 (0.013212) Loss: 1.1373 (1.2989) +2025-08-21,07:11:17 | INFO | Train Epoch: 1 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.795 Boundary Ratio: 0.101 Contrastive_loss: 1.2231 (1.2855) Boundary_loss: 0.013184 (0.013212) Loss: 1.2363 (1.2987) +2025-08-21,07:12:22 | INFO | Train Epoch: 1 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 1.2933 (1.2855) Boundary_loss: 0.013250 (0.013212) Loss: 1.3066 (1.2987) +2025-08-21,07:13:28 | INFO | Train Epoch: 1 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.766 Boundary Ratio: 0.101 Contrastive_loss: 0.97913 (1.2845) Boundary_loss: 0.013244 (0.013212) Loss: 0.99237 (1.2977) +2025-08-21,07:14:33 | INFO | Train Epoch: 1 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 1.2291 (1.2843) Boundary_loss: 0.013143 (0.013212) Loss: 1.2423 (1.2975) +2025-08-21,07:15:39 | INFO | Train Epoch: 1 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 1.1433 (1.2838) Boundary_loss: 0.013189 (0.013212) Loss: 1.1565 (1.2970) +2025-08-21,07:16:44 | INFO | Train Epoch: 1 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 1.1213 (1.2833) Boundary_loss: 0.013151 (0.013212) Loss: 1.1345 (1.2965) +2025-08-21,07:17:49 | INFO | Train Epoch: 1 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 1.1060 (1.2827) Boundary_loss: 0.013190 (0.013212) Loss: 1.1192 (1.2959) +2025-08-21,07:18:55 | INFO | Train Epoch: 1 [15770112/26365952 (60%)] Avg Boundaries (per batch): 18.982 Boundary Ratio: 0.097 Contrastive_loss: 1.0023 (1.2818) Boundary_loss: 0.013097 (0.013212) Loss: 1.0154 (1.2950) +2025-08-21,07:20:00 | INFO | Train Epoch: 1 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 1.0840 (1.2812) Boundary_loss: 0.013189 (0.013211) Loss: 1.0972 (1.2944) +2025-08-21,07:21:05 | INFO | Train Epoch: 1 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 1.1036 (1.2806) Boundary_loss: 0.013002 (0.013211) Loss: 1.1166 (1.2938) +2025-08-21,07:22:11 | INFO | Train Epoch: 1 [15923712/26365952 (60%)] Avg Boundaries (per batch): 18.842 Boundary Ratio: 0.096 Contrastive_loss: 1.1148 (1.2801) Boundary_loss: 0.013060 (0.013210) Loss: 1.1279 (1.2933) +2025-08-21,07:23:16 | INFO | Train Epoch: 1 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 1.1762 (1.2797) Boundary_loss: 0.013089 (0.013210) Loss: 1.1893 (1.2930) +2025-08-21,07:24:22 | INFO | Train Epoch: 1 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 1.0849 (1.2791) Boundary_loss: 0.013093 (0.013210) Loss: 1.0980 (1.2923) +2025-08-21,07:25:27 | INFO | Train Epoch: 1 [16077312/26365952 (61%)] Avg Boundaries (per batch): 18.568 Boundary Ratio: 0.095 Contrastive_loss: 1.0113 (1.2783) Boundary_loss: 0.013278 (0.013210) Loss: 1.0245 (1.2915) +2025-08-21,07:26:33 | INFO | Train Epoch: 1 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 1.0428 (1.2775) Boundary_loss: 0.013156 (0.013210) Loss: 1.0560 (1.2907) +2025-08-21,07:27:38 | INFO | Train Epoch: 1 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 1.0963 (1.2770) Boundary_loss: 0.013241 (0.013210) Loss: 1.1096 (1.2902) +2025-08-21,07:28:44 | INFO | Train Epoch: 1 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 1.0881 (1.2764) Boundary_loss: 0.013284 (0.013210) Loss: 1.1014 (1.2896) +2025-08-21,07:29:49 | INFO | Train Epoch: 1 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 1.2795 (1.2764) Boundary_loss: 0.013153 (0.013210) Loss: 1.2926 (1.2896) +2025-08-21,07:30:55 | INFO | Train Epoch: 1 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 1.0510 (1.2757) Boundary_loss: 0.013149 (0.013210) Loss: 1.0642 (1.2889) +2025-08-21,07:32:00 | INFO | Train Epoch: 1 [16384512/26365952 (62%)] Avg Boundaries (per batch): 18.697 Boundary Ratio: 0.095 Contrastive_loss: 1.1023 (1.2751) Boundary_loss: 0.013222 (0.013210) Loss: 1.1155 (1.2883) +2025-08-21,07:33:05 | INFO | Train Epoch: 1 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.621 Boundary Ratio: 0.100 Contrastive_loss: 1.0718 (1.2745) Boundary_loss: 0.013286 (0.013210) Loss: 1.0850 (1.2877) +2025-08-21,07:34:11 | INFO | Train Epoch: 1 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.693 Boundary Ratio: 0.100 Contrastive_loss: 1.1245 (1.2740) Boundary_loss: 0.013217 (0.013210) Loss: 1.1377 (1.2872) +2025-08-21,07:35:16 | INFO | Train Epoch: 1 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 1.0879 (1.2735) Boundary_loss: 0.013114 (0.013210) Loss: 1.1010 (1.2867) +2025-08-21,07:36:22 | INFO | Train Epoch: 1 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 1.2295 (1.2733) Boundary_loss: 0.013136 (0.013209) Loss: 1.2427 (1.2865) +2025-08-21,07:37:27 | INFO | Train Epoch: 1 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 1.1271 (1.2729) Boundary_loss: 0.013112 (0.013209) Loss: 1.1402 (1.2861) +2025-08-21,07:38:33 | INFO | Train Epoch: 1 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 1.1259 (1.2724) Boundary_loss: 0.013172 (0.013209) Loss: 1.1391 (1.2856) +2025-08-21,07:39:38 | INFO | Train Epoch: 1 [16742912/26365952 (64%)] Avg Boundaries (per batch): 18.963 Boundary Ratio: 0.097 Contrastive_loss: 1.0264 (1.2717) Boundary_loss: 0.013219 (0.013209) Loss: 1.0396 (1.2849) +2025-08-21,07:40:44 | INFO | Train Epoch: 1 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 1.2208 (1.2715) Boundary_loss: 0.013107 (0.013209) Loss: 1.2339 (1.2847) +2025-08-21,07:41:49 | INFO | Train Epoch: 1 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 1.0570 (1.2709) Boundary_loss: 0.013296 (0.013209) Loss: 1.0703 (1.2841) +2025-08-21,07:42:55 | INFO | Train Epoch: 1 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.004 Boundary Ratio: 0.097 Contrastive_loss: 1.1308 (1.2704) Boundary_loss: 0.013215 (0.013209) Loss: 1.1440 (1.2837) +2025-08-21,07:44:01 | INFO | Train Epoch: 1 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 1.1364 (1.2700) Boundary_loss: 0.013154 (0.013209) Loss: 1.1496 (1.2833) +2025-08-21,07:45:06 | INFO | Train Epoch: 1 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 1.2962 (1.2701) Boundary_loss: 0.013173 (0.013209) Loss: 1.3094 (1.2833) +2025-08-21,07:46:11 | INFO | Train Epoch: 1 [17050112/26365952 (65%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 1.1367 (1.2697) Boundary_loss: 0.013041 (0.013208) Loss: 1.1497 (1.2829) +2025-08-21,07:47:17 | INFO | Train Epoch: 1 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 1.1761 (1.2694) Boundary_loss: 0.013117 (0.013208) Loss: 1.1892 (1.2827) +2025-08-21,07:48:22 | INFO | Train Epoch: 1 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 1.0506 (1.2688) Boundary_loss: 0.013220 (0.013208) Loss: 1.0638 (1.2820) +2025-08-21,07:49:28 | INFO | Train Epoch: 1 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 1.0714 (1.2682) Boundary_loss: 0.013312 (0.013208) Loss: 1.0847 (1.2814) +2025-08-21,07:50:33 | INFO | Train Epoch: 1 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 1.0633 (1.2676) Boundary_loss: 0.013174 (0.013208) Loss: 1.0765 (1.2808) +2025-08-21,07:51:39 | INFO | Train Epoch: 1 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 1.1003 (1.2671) Boundary_loss: 0.013247 (0.013208) Loss: 1.1136 (1.2803) +2025-08-21,07:52:44 | INFO | Train Epoch: 1 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 1.1890 (1.2669) Boundary_loss: 0.013063 (0.013208) Loss: 1.2021 (1.2801) +2025-08-21,07:53:50 | INFO | Train Epoch: 1 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 1.1581 (1.2666) Boundary_loss: 0.013159 (0.013208) Loss: 1.1713 (1.2798) +2025-08-21,07:54:55 | INFO | Train Epoch: 1 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 1.2111 (1.2664) Boundary_loss: 0.012996 (0.013207) Loss: 1.2241 (1.2796) +2025-08-21,07:56:01 | INFO | Train Epoch: 1 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 1.1406 (1.2660) Boundary_loss: 0.013167 (0.013207) Loss: 1.1538 (1.2792) +2025-08-21,07:57:06 | INFO | Train Epoch: 1 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 1.0923 (1.2655) Boundary_loss: 0.013133 (0.013207) Loss: 1.1055 (1.2787) +2025-08-21,07:58:12 | INFO | Train Epoch: 1 [17613312/26365952 (67%)] Avg Boundaries (per batch): 18.842 Boundary Ratio: 0.096 Contrastive_loss: 1.0673 (1.2650) Boundary_loss: 0.013215 (0.013207) Loss: 1.0806 (1.2782) +2025-08-21,07:59:17 | INFO | Train Epoch: 1 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 1.1956 (1.2648) Boundary_loss: 0.013102 (0.013206) Loss: 1.2087 (1.2780) +2025-08-21,08:00:23 | INFO | Train Epoch: 1 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 1.2465 (1.2647) Boundary_loss: 0.013103 (0.013206) Loss: 1.2596 (1.2779) +2025-08-21,08:01:28 | INFO | Train Epoch: 1 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 1.0477 (1.2641) Boundary_loss: 0.013194 (0.013206) Loss: 1.0609 (1.2773) +2025-08-21,08:02:33 | INFO | Train Epoch: 1 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 1.1513 (1.2638) Boundary_loss: 0.013099 (0.013206) Loss: 1.1644 (1.2770) +2025-08-21,08:03:39 | INFO | Train Epoch: 1 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 1.1666 (1.2635) Boundary_loss: 0.013138 (0.013206) Loss: 1.1797 (1.2767) +2025-08-21,08:04:44 | INFO | Train Epoch: 1 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 1.1243 (1.2631) Boundary_loss: 0.013258 (0.013206) Loss: 1.1376 (1.2763) +2025-08-21,08:05:50 | INFO | Train Epoch: 1 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 1.2192 (1.2630) Boundary_loss: 0.013133 (0.013206) Loss: 1.2323 (1.2762) +2025-08-21,08:06:55 | INFO | Train Epoch: 1 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 1.1846 (1.2627) Boundary_loss: 0.013076 (0.013205) Loss: 1.1977 (1.2759) +2025-08-21,08:08:01 | INFO | Train Epoch: 1 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 1.1229 (1.2623) Boundary_loss: 0.013154 (0.013205) Loss: 1.1361 (1.2755) +2025-08-21,08:09:07 | INFO | Train Epoch: 1 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 1.2151 (1.2622) Boundary_loss: 0.013098 (0.013205) Loss: 1.2282 (1.2754) +2025-08-21,08:10:12 | INFO | Train Epoch: 1 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.875 Boundary Ratio: 0.101 Contrastive_loss: 1.1798 (1.2620) Boundary_loss: 0.013285 (0.013205) Loss: 1.1931 (1.2752) +2025-08-21,08:11:17 | INFO | Train Epoch: 1 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 1.1402 (1.2616) Boundary_loss: 0.013143 (0.013205) Loss: 1.1534 (1.2748) +2025-08-21,08:12:23 | INFO | Train Epoch: 1 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 1.2171 (1.2615) Boundary_loss: 0.013199 (0.013205) Loss: 1.2303 (1.2747) +2025-08-21,08:13:29 | INFO | Train Epoch: 1 [18330112/26365952 (70%)] Avg Boundaries (per batch): 18.770 Boundary Ratio: 0.096 Contrastive_loss: 1.1561 (1.2612) Boundary_loss: 0.013200 (0.013205) Loss: 1.1693 (1.2744) +2025-08-21,08:14:34 | INFO | Train Epoch: 1 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 1.1177 (1.2608) Boundary_loss: 0.013277 (0.013205) Loss: 1.1310 (1.2740) +2025-08-21,08:15:40 | INFO | Train Epoch: 1 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.904 Boundary Ratio: 0.102 Contrastive_loss: 1.1400 (1.2605) Boundary_loss: 0.013304 (0.013205) Loss: 1.1533 (1.2737) +2025-08-21,08:16:45 | INFO | Train Epoch: 1 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 1.0821 (1.2600) Boundary_loss: 0.013239 (0.013205) Loss: 1.0954 (1.2732) +2025-08-21,08:17:50 | INFO | Train Epoch: 1 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 1.1395 (1.2597) Boundary_loss: 0.013289 (0.013206) Loss: 1.1527 (1.2729) +2025-08-21,08:18:56 | INFO | Train Epoch: 1 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 1.0935 (1.2592) Boundary_loss: 0.013184 (0.013205) Loss: 1.1067 (1.2724) +2025-08-21,08:20:01 | INFO | Train Epoch: 1 [18637312/26365952 (71%)] Avg Boundaries (per batch): 18.916 Boundary Ratio: 0.097 Contrastive_loss: 1.1464 (1.2589) Boundary_loss: 0.013238 (0.013206) Loss: 1.1596 (1.2721) +2025-08-21,08:21:07 | INFO | Train Epoch: 1 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 1.1849 (1.2587) Boundary_loss: 0.013155 (0.013205) Loss: 1.1981 (1.2719) +2025-08-21,08:22:12 | INFO | Train Epoch: 1 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 1.0167 (1.2580) Boundary_loss: 0.013168 (0.013205) Loss: 1.0298 (1.2712) +2025-08-21,08:23:18 | INFO | Train Epoch: 1 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 1.0880 (1.2576) Boundary_loss: 0.013169 (0.013205) Loss: 1.1012 (1.2708) +2025-08-21,08:24:23 | INFO | Train Epoch: 1 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 1.0994 (1.2571) Boundary_loss: 0.013154 (0.013205) Loss: 1.1126 (1.2703) +2025-08-21,08:25:29 | INFO | Train Epoch: 1 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 1.1225 (1.2568) Boundary_loss: 0.013162 (0.013205) Loss: 1.1356 (1.2700) +2025-08-21,08:26:34 | INFO | Train Epoch: 1 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 1.1309 (1.2564) Boundary_loss: 0.013170 (0.013205) Loss: 1.1441 (1.2696) +2025-08-21,08:27:40 | INFO | Train Epoch: 1 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 1.1955 (1.2563) Boundary_loss: 0.013100 (0.013205) Loss: 1.2086 (1.2695) +2025-08-21,08:28:45 | INFO | Train Epoch: 1 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 1.0697 (1.2558) Boundary_loss: 0.013185 (0.013205) Loss: 1.0829 (1.2690) +2025-08-21,08:29:50 | INFO | Train Epoch: 1 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 1.1275 (1.2554) Boundary_loss: 0.013350 (0.013205) Loss: 1.1409 (1.2686) +2025-08-21,08:30:56 | INFO | Train Epoch: 1 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 1.0125 (1.2548) Boundary_loss: 0.013166 (0.013205) Loss: 1.0257 (1.2680) +2025-08-21,08:32:02 | INFO | Train Epoch: 1 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 1.0525 (1.2542) Boundary_loss: 0.013080 (0.013205) Loss: 1.0656 (1.2674) +2025-08-21,08:33:07 | INFO | Train Epoch: 1 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 1.0693 (1.2538) Boundary_loss: 0.013083 (0.013204) Loss: 1.0824 (1.2670) +2025-08-21,08:34:13 | INFO | Train Epoch: 1 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 1.0599 (1.2532) Boundary_loss: 0.013295 (0.013204) Loss: 1.0732 (1.2664) +2025-08-21,08:35:18 | INFO | Train Epoch: 1 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.98849 (1.2525) Boundary_loss: 0.013240 (0.013205) Loss: 1.0017 (1.2657) +2025-08-21,08:36:24 | INFO | Train Epoch: 1 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 1.1527 (1.2523) Boundary_loss: 0.013231 (0.013205) Loss: 1.1659 (1.2655) +2025-08-21,08:37:29 | INFO | Train Epoch: 1 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.98471 (1.2516) Boundary_loss: 0.013177 (0.013205) Loss: 0.99788 (1.2648) +2025-08-21,08:38:35 | INFO | Train Epoch: 1 [19507712/26365952 (74%)] Avg Boundaries (per batch): 18.715 Boundary Ratio: 0.095 Contrastive_loss: 1.0850 (1.2511) Boundary_loss: 0.013124 (0.013204) Loss: 1.0981 (1.2643) +2025-08-21,08:39:40 | INFO | Train Epoch: 1 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 1.0774 (1.2507) Boundary_loss: 0.013040 (0.013204) Loss: 1.0905 (1.2639) +2025-08-21,08:40:46 | INFO | Train Epoch: 1 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.99780 (1.2500) Boundary_loss: 0.013030 (0.013203) Loss: 1.0108 (1.2632) +2025-08-21,08:41:51 | INFO | Train Epoch: 1 [19661312/26365952 (75%)] Avg Boundaries (per batch): 18.879 Boundary Ratio: 0.096 Contrastive_loss: 1.0162 (1.2494) Boundary_loss: 0.013179 (0.013203) Loss: 1.0294 (1.2626) +2025-08-21,08:42:57 | INFO | Train Epoch: 1 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 1.1136 (1.2491) Boundary_loss: 0.013224 (0.013203) Loss: 1.1268 (1.2623) +2025-08-21,08:44:02 | INFO | Train Epoch: 1 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.543 Boundary Ratio: 0.100 Contrastive_loss: 1.0934 (1.2487) Boundary_loss: 0.013068 (0.013203) Loss: 1.1065 (1.2619) +2025-08-21,08:45:08 | INFO | Train Epoch: 1 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 1.0868 (1.2482) Boundary_loss: 0.013155 (0.013203) Loss: 1.0999 (1.2615) +2025-08-21,08:46:13 | INFO | Train Epoch: 1 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.709 Boundary Ratio: 0.101 Contrastive_loss: 0.95230 (1.2475) Boundary_loss: 0.013307 (0.013203) Loss: 0.96560 (1.2607) +2025-08-21,08:47:19 | INFO | Train Epoch: 1 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 1.0734 (1.2470) Boundary_loss: 0.013161 (0.013203) Loss: 1.0866 (1.2602) +2025-08-21,08:48:24 | INFO | Train Epoch: 1 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 1.1410 (1.2468) Boundary_loss: 0.013054 (0.013203) Loss: 1.1541 (1.2600) +2025-08-21,08:49:30 | INFO | Train Epoch: 1 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 1.0348 (1.2462) Boundary_loss: 0.013125 (0.013203) Loss: 1.0479 (1.2594) +2025-08-21,08:50:35 | INFO | Train Epoch: 1 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.95523 (1.2455) Boundary_loss: 0.013146 (0.013202) Loss: 0.96838 (1.2587) +2025-08-21,08:51:41 | INFO | Train Epoch: 1 [20122112/26365952 (76%)] Avg Boundaries (per batch): 18.797 Boundary Ratio: 0.096 Contrastive_loss: 1.1253 (1.2452) Boundary_loss: 0.013294 (0.013203) Loss: 1.1386 (1.2584) +2025-08-21,08:52:46 | INFO | Train Epoch: 1 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 1.1421 (1.2449) Boundary_loss: 0.013067 (0.013202) Loss: 1.1552 (1.2581) +2025-08-21,08:53:52 | INFO | Train Epoch: 1 [20224512/26365952 (77%)] Avg Boundaries (per batch): 18.840 Boundary Ratio: 0.096 Contrastive_loss: 1.0739 (1.2445) Boundary_loss: 0.013209 (0.013202) Loss: 1.0871 (1.2577) +2025-08-21,08:54:57 | INFO | Train Epoch: 1 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 1.0364 (1.2440) Boundary_loss: 0.013046 (0.013202) Loss: 1.0494 (1.2572) +2025-08-21,08:56:02 | INFO | Train Epoch: 1 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 1.1152 (1.2436) Boundary_loss: 0.013168 (0.013202) Loss: 1.1283 (1.2568) +2025-08-21,08:57:08 | INFO | Train Epoch: 1 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 1.0475 (1.2432) Boundary_loss: 0.013221 (0.013202) Loss: 1.0607 (1.2564) +2025-08-21,08:58:13 | INFO | Train Epoch: 1 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.799 Boundary Ratio: 0.101 Contrastive_loss: 0.95015 (1.2424) Boundary_loss: 0.013237 (0.013202) Loss: 0.96339 (1.2556) +2025-08-21,08:59:19 | INFO | Train Epoch: 1 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 1.1237 (1.2421) Boundary_loss: 0.013228 (0.013202) Loss: 1.1370 (1.2553) +2025-08-21,09:00:24 | INFO | Train Epoch: 1 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 1.1165 (1.2418) Boundary_loss: 0.013170 (0.013202) Loss: 1.1297 (1.2550) +2025-08-21,09:01:30 | INFO | Train Epoch: 1 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 1.1157 (1.2415) Boundary_loss: 0.013163 (0.013202) Loss: 1.1288 (1.2547) +2025-08-21,09:02:35 | INFO | Train Epoch: 1 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 1.2157 (1.2414) Boundary_loss: 0.013207 (0.013202) Loss: 1.2289 (1.2546) +2025-08-21,09:03:41 | INFO | Train Epoch: 1 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.92905 (1.2407) Boundary_loss: 0.013218 (0.013202) Loss: 0.94226 (1.2539) +2025-08-21,09:04:46 | INFO | Train Epoch: 1 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 1.0474 (1.2402) Boundary_loss: 0.013238 (0.013202) Loss: 1.0607 (1.2534) +2025-08-21,09:05:52 | INFO | Train Epoch: 1 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.869 Boundary Ratio: 0.101 Contrastive_loss: 1.1537 (1.2400) Boundary_loss: 0.013261 (0.013202) Loss: 1.1669 (1.2532) +2025-08-21,09:06:57 | INFO | Train Epoch: 1 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 1.0290 (1.2395) Boundary_loss: 0.013063 (0.013202) Loss: 1.0420 (1.2527) +2025-08-21,09:08:03 | INFO | Train Epoch: 1 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 1.0260 (1.2389) Boundary_loss: 0.013071 (0.013201) Loss: 1.0391 (1.2521) +2025-08-21,09:09:08 | INFO | Train Epoch: 1 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.98328 (1.2383) Boundary_loss: 0.013136 (0.013201) Loss: 0.99641 (1.2515) +2025-08-21,09:10:14 | INFO | Train Epoch: 1 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 1.0382 (1.2378) Boundary_loss: 0.013213 (0.013201) Loss: 1.0515 (1.2510) +2025-08-21,09:11:19 | INFO | Train Epoch: 1 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.99721 (1.2372) Boundary_loss: 0.013089 (0.013201) Loss: 1.0103 (1.2504) +2025-08-21,09:12:24 | INFO | Train Epoch: 1 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 1.1366 (1.2370) Boundary_loss: 0.013082 (0.013201) Loss: 1.1496 (1.2502) +2025-08-21,09:13:30 | INFO | Train Epoch: 1 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.752 Boundary Ratio: 0.101 Contrastive_loss: 1.0114 (1.2365) Boundary_loss: 0.013319 (0.013201) Loss: 1.0247 (1.2497) +2025-08-21,09:14:35 | INFO | Train Epoch: 1 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.96896 (1.2358) Boundary_loss: 0.013170 (0.013201) Loss: 0.98213 (1.2490) +2025-08-21,09:15:41 | INFO | Train Epoch: 1 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 1.0273 (1.2353) Boundary_loss: 0.013201 (0.013201) Loss: 1.0405 (1.2485) +2025-08-21,09:16:46 | INFO | Train Epoch: 1 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.93991 (1.2346) Boundary_loss: 0.013149 (0.013201) Loss: 0.95306 (1.2478) +2025-08-21,09:17:52 | INFO | Train Epoch: 1 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.91972 (1.2338) Boundary_loss: 0.013236 (0.013201) Loss: 0.93295 (1.2470) +2025-08-21,09:18:57 | INFO | Train Epoch: 1 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 1.0685 (1.2334) Boundary_loss: 0.013257 (0.013201) Loss: 1.0818 (1.2466) +2025-08-21,09:20:03 | INFO | Train Epoch: 1 [21453312/26365952 (81%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 1.0167 (1.2329) Boundary_loss: 0.013152 (0.013201) Loss: 1.0299 (1.2461) +2025-08-21,09:21:08 | INFO | Train Epoch: 1 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.96813 (1.2323) Boundary_loss: 0.013187 (0.013201) Loss: 0.98132 (1.2455) +2025-08-21,09:22:14 | INFO | Train Epoch: 1 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 1.0756 (1.2319) Boundary_loss: 0.013090 (0.013201) Loss: 1.0887 (1.2451) +2025-08-21,09:23:19 | INFO | Train Epoch: 1 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 1.1218 (1.2317) Boundary_loss: 0.013114 (0.013200) Loss: 1.1350 (1.2449) +2025-08-21,09:24:25 | INFO | Train Epoch: 1 [21658112/26365952 (82%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 0.87106 (1.2308) Boundary_loss: 0.013146 (0.013200) Loss: 0.88421 (1.2440) +2025-08-21,09:25:30 | INFO | Train Epoch: 1 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 1.1416 (1.2306) Boundary_loss: 0.013222 (0.013200) Loss: 1.1548 (1.2438) +2025-08-21,09:26:36 | INFO | Train Epoch: 1 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.590 Boundary Ratio: 0.100 Contrastive_loss: 1.1019 (1.2303) Boundary_loss: 0.013254 (0.013200) Loss: 1.1151 (1.2435) +2025-08-21,09:27:41 | INFO | Train Epoch: 1 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 1.0536 (1.2299) Boundary_loss: 0.013044 (0.013200) Loss: 1.0667 (1.2431) +2025-08-21,09:28:46 | INFO | Train Epoch: 1 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.99496 (1.2293) Boundary_loss: 0.013158 (0.013200) Loss: 1.0081 (1.2425) +2025-08-21,09:29:52 | INFO | Train Epoch: 1 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 1.1111 (1.2291) Boundary_loss: 0.013215 (0.013200) Loss: 1.1244 (1.2423) +2025-08-21,09:30:57 | INFO | Train Epoch: 1 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 1.0743 (1.2287) Boundary_loss: 0.013103 (0.013200) Loss: 1.0875 (1.2419) +2025-08-21,09:32:03 | INFO | Train Epoch: 1 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.801 Boundary Ratio: 0.101 Contrastive_loss: 1.0343 (1.2283) Boundary_loss: 0.013122 (0.013200) Loss: 1.0475 (1.2415) +2025-08-21,09:33:08 | INFO | Train Epoch: 1 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.99413 (1.2277) Boundary_loss: 0.013169 (0.013200) Loss: 1.0073 (1.2409) +2025-08-21,09:34:14 | INFO | Train Epoch: 1 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 1.0770 (1.2274) Boundary_loss: 0.013141 (0.013199) Loss: 1.0902 (1.2406) +2025-08-21,09:35:19 | INFO | Train Epoch: 1 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 1.1265 (1.2271) Boundary_loss: 0.013227 (0.013200) Loss: 1.1398 (1.2403) +2025-08-21,09:36:24 | INFO | Train Epoch: 1 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 1.0144 (1.2266) Boundary_loss: 0.013306 (0.013200) Loss: 1.0277 (1.2398) +2025-08-21,09:37:30 | INFO | Train Epoch: 1 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 1.0807 (1.2263) Boundary_loss: 0.013030 (0.013199) Loss: 1.0938 (1.2395) +2025-08-21,09:38:35 | INFO | Train Epoch: 1 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 1.0501 (1.2259) Boundary_loss: 0.013080 (0.013199) Loss: 1.0632 (1.2391) +2025-08-21,09:39:41 | INFO | Train Epoch: 1 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 1.0930 (1.2256) Boundary_loss: 0.013070 (0.013199) Loss: 1.1061 (1.2388) +2025-08-21,09:40:46 | INFO | Train Epoch: 1 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 1.0094 (1.2251) Boundary_loss: 0.013257 (0.013199) Loss: 1.0226 (1.2383) +2025-08-21,09:41:52 | INFO | Train Epoch: 1 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 1.0568 (1.2247) Boundary_loss: 0.013079 (0.013199) Loss: 1.0698 (1.2379) +2025-08-21,09:42:57 | INFO | Train Epoch: 1 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.551 Boundary Ratio: 0.100 Contrastive_loss: 0.96403 (1.2241) Boundary_loss: 0.013129 (0.013199) Loss: 0.97716 (1.2373) +2025-08-21,09:44:03 | INFO | Train Epoch: 1 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.97897 (1.2236) Boundary_loss: 0.013139 (0.013198) Loss: 0.99211 (1.2368) +2025-08-21,09:45:08 | INFO | Train Epoch: 1 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 1.0286 (1.2231) Boundary_loss: 0.013134 (0.013198) Loss: 1.0417 (1.2363) +2025-08-21,09:46:13 | INFO | Train Epoch: 1 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 1.1608 (1.2230) Boundary_loss: 0.013263 (0.013198) Loss: 1.1741 (1.2362) +2025-08-21,09:47:19 | INFO | Train Epoch: 1 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 1.0091 (1.2225) Boundary_loss: 0.013162 (0.013198) Loss: 1.0223 (1.2357) +2025-08-21,09:48:24 | INFO | Train Epoch: 1 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 1.1087 (1.2223) Boundary_loss: 0.013184 (0.013198) Loss: 1.1219 (1.2355) +2025-08-21,09:49:30 | INFO | Train Epoch: 1 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 1.0235 (1.2218) Boundary_loss: 0.013185 (0.013198) Loss: 1.0366 (1.2350) +2025-08-21,09:50:35 | INFO | Train Epoch: 1 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 1.0958 (1.2215) Boundary_loss: 0.013076 (0.013198) Loss: 1.1089 (1.2347) +2025-08-21,09:51:41 | INFO | Train Epoch: 1 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 1.0831 (1.2212) Boundary_loss: 0.013185 (0.013198) Loss: 1.0963 (1.2344) +2025-08-21,09:52:46 | INFO | Train Epoch: 1 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 1.1096 (1.2210) Boundary_loss: 0.013049 (0.013198) Loss: 1.1227 (1.2342) +2025-08-21,09:53:52 | INFO | Train Epoch: 1 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.99020 (1.2205) Boundary_loss: 0.013131 (0.013197) Loss: 1.0033 (1.2337) +2025-08-21,09:54:57 | INFO | Train Epoch: 1 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 1.0164 (1.2200) Boundary_loss: 0.013189 (0.013197) Loss: 1.0296 (1.2332) +2025-08-21,09:56:03 | INFO | Train Epoch: 1 [23142912/26365952 (88%)] Avg Boundaries (per batch): 18.846 Boundary Ratio: 0.096 Contrastive_loss: 1.1366 (1.2198) Boundary_loss: 0.013156 (0.013197) Loss: 1.1498 (1.2330) +2025-08-21,09:57:08 | INFO | Train Epoch: 1 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.97163 (1.2193) Boundary_loss: 0.013123 (0.013197) Loss: 0.98476 (1.2325) +2025-08-21,09:58:13 | INFO | Train Epoch: 1 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 1.0853 (1.2190) Boundary_loss: 0.013091 (0.013197) Loss: 1.0984 (1.2322) +2025-08-21,09:59:19 | INFO | Train Epoch: 1 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.97997 (1.2185) Boundary_loss: 0.013044 (0.013197) Loss: 0.99301 (1.2317) +2025-08-21,10:00:24 | INFO | Train Epoch: 1 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 1.0390 (1.2181) Boundary_loss: 0.013138 (0.013196) Loss: 1.0521 (1.2313) +2025-08-21,10:01:30 | INFO | Train Epoch: 1 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.97343 (1.2175) Boundary_loss: 0.013094 (0.013196) Loss: 0.98653 (1.2307) +2025-08-21,10:02:35 | INFO | Train Epoch: 1 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 1.1385 (1.2174) Boundary_loss: 0.013220 (0.013196) Loss: 1.1517 (1.2306) +2025-08-21,10:03:41 | INFO | Train Epoch: 1 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.91983 (1.2167) Boundary_loss: 0.013163 (0.013196) Loss: 0.93299 (1.2299) +2025-08-21,10:04:46 | INFO | Train Epoch: 1 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 1.1713 (1.2166) Boundary_loss: 0.013033 (0.013196) Loss: 1.1844 (1.2298) +2025-08-21,10:05:52 | INFO | Train Epoch: 1 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 1.1054 (1.2164) Boundary_loss: 0.013311 (0.013196) Loss: 1.1187 (1.2296) +2025-08-21,10:06:57 | INFO | Train Epoch: 1 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.92718 (1.2158) Boundary_loss: 0.013252 (0.013196) Loss: 0.94043 (1.2290) +2025-08-21,10:08:03 | INFO | Train Epoch: 1 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.91176 (1.2151) Boundary_loss: 0.013149 (0.013196) Loss: 0.92491 (1.2283) +2025-08-21,10:09:08 | INFO | Train Epoch: 1 [23757312/26365952 (90%)] Avg Boundaries (per batch): 18.422 Boundary Ratio: 0.094 Contrastive_loss: 1.1606 (1.2150) Boundary_loss: 0.013314 (0.013196) Loss: 1.1739 (1.2282) +2025-08-21,10:10:14 | INFO | Train Epoch: 1 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.95393 (1.2144) Boundary_loss: 0.013169 (0.013196) Loss: 0.96710 (1.2276) +2025-08-21,10:11:19 | INFO | Train Epoch: 1 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 1.1330 (1.2143) Boundary_loss: 0.013272 (0.013196) Loss: 1.1463 (1.2275) +2025-08-21,10:12:25 | INFO | Train Epoch: 1 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 1.0579 (1.2139) Boundary_loss: 0.013213 (0.013197) Loss: 1.0711 (1.2271) +2025-08-21,10:13:30 | INFO | Train Epoch: 1 [23962112/26365952 (91%)] Avg Boundaries (per batch): 18.721 Boundary Ratio: 0.096 Contrastive_loss: 1.1143 (1.2137) Boundary_loss: 0.013284 (0.013197) Loss: 1.1276 (1.2269) +2025-08-21,10:14:35 | INFO | Train Epoch: 1 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.98447 (1.2132) Boundary_loss: 0.013153 (0.013197) Loss: 0.99762 (1.2264) +2025-08-21,10:15:41 | INFO | Train Epoch: 1 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 1.1391 (1.2131) Boundary_loss: 0.013023 (0.013196) Loss: 1.1522 (1.2263) +2025-08-21,10:16:46 | INFO | Train Epoch: 1 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 1.0662 (1.2128) Boundary_loss: 0.013093 (0.013196) Loss: 1.0793 (1.2260) +2025-08-21,10:17:52 | INFO | Train Epoch: 1 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.98968 (1.2123) Boundary_loss: 0.013124 (0.013196) Loss: 1.0028 (1.2255) +2025-08-21,10:18:57 | INFO | Train Epoch: 1 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 1.1001 (1.2120) Boundary_loss: 0.013176 (0.013196) Loss: 1.1132 (1.2252) +2025-08-21,10:20:03 | INFO | Train Epoch: 1 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.98354 (1.2116) Boundary_loss: 0.013080 (0.013196) Loss: 0.99662 (1.2248) +2025-08-21,10:21:08 | INFO | Train Epoch: 1 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.92859 (1.2110) Boundary_loss: 0.013320 (0.013196) Loss: 0.94191 (1.2242) +2025-08-21,10:22:14 | INFO | Train Epoch: 1 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.90779 (1.2103) Boundary_loss: 0.013006 (0.013195) Loss: 0.92080 (1.2235) +2025-08-21,10:23:19 | INFO | Train Epoch: 1 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 1.0122 (1.2099) Boundary_loss: 0.013031 (0.013195) Loss: 1.0252 (1.2231) +2025-08-21,10:24:24 | INFO | Train Epoch: 1 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 1.0065 (1.2095) Boundary_loss: 0.013243 (0.013195) Loss: 1.0197 (1.2227) +2025-08-21,10:25:30 | INFO | Train Epoch: 1 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.99702 (1.2091) Boundary_loss: 0.013198 (0.013195) Loss: 1.0102 (1.2222) +2025-08-21,10:26:35 | INFO | Train Epoch: 1 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.97415 (1.2086) Boundary_loss: 0.013222 (0.013195) Loss: 0.98737 (1.2218) +2025-08-21,10:27:41 | INFO | Train Epoch: 1 [24627712/26365952 (93%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.99179 (1.2081) Boundary_loss: 0.013405 (0.013196) Loss: 1.0052 (1.2213) +2025-08-21,10:28:46 | INFO | Train Epoch: 1 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 1.0915 (1.2079) Boundary_loss: 0.013088 (0.013195) Loss: 1.1046 (1.2211) +2025-08-21,10:29:52 | INFO | Train Epoch: 1 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.99022 (1.2074) Boundary_loss: 0.013192 (0.013195) Loss: 1.0034 (1.2206) +2025-08-21,10:30:57 | INFO | Train Epoch: 1 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.95686 (1.2069) Boundary_loss: 0.013122 (0.013195) Loss: 0.96998 (1.2201) +2025-08-21,10:32:03 | INFO | Train Epoch: 1 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.793 Boundary Ratio: 0.101 Contrastive_loss: 1.0344 (1.2066) Boundary_loss: 0.013118 (0.013195) Loss: 1.0475 (1.2197) +2025-08-21,10:33:08 | INFO | Train Epoch: 1 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 0.90773 (1.2059) Boundary_loss: 0.013186 (0.013195) Loss: 0.92092 (1.2191) +2025-08-21,10:34:13 | INFO | Train Epoch: 1 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 1.0467 (1.2056) Boundary_loss: 0.013311 (0.013195) Loss: 1.0600 (1.2188) +2025-08-21,10:35:19 | INFO | Train Epoch: 1 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.94151 (1.2051) Boundary_loss: 0.013158 (0.013195) Loss: 0.95467 (1.2183) +2025-08-21,10:36:24 | INFO | Train Epoch: 1 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 1.2107 (1.2051) Boundary_loss: 0.013286 (0.013196) Loss: 1.2240 (1.2183) +2025-08-21,10:37:30 | INFO | Train Epoch: 1 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.98699 (1.2046) Boundary_loss: 0.013109 (0.013195) Loss: 1.0001 (1.2178) +2025-08-21,10:38:35 | INFO | Train Epoch: 1 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.93222 (1.2041) Boundary_loss: 0.013141 (0.013195) Loss: 0.94536 (1.2173) +2025-08-21,10:39:41 | INFO | Train Epoch: 1 [25190912/26365952 (96%)] Avg Boundaries (per batch): 18.773 Boundary Ratio: 0.096 Contrastive_loss: 1.0476 (1.2038) Boundary_loss: 0.013288 (0.013195) Loss: 1.0609 (1.2170) +2025-08-21,10:40:46 | INFO | Train Epoch: 1 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 1.0594 (1.2035) Boundary_loss: 0.013078 (0.013195) Loss: 1.0725 (1.2167) +2025-08-21,10:41:52 | INFO | Train Epoch: 1 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.96811 (1.2030) Boundary_loss: 0.013075 (0.013195) Loss: 0.98119 (1.2162) +2025-08-21,10:42:57 | INFO | Train Epoch: 1 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.96220 (1.2025) Boundary_loss: 0.013096 (0.013195) Loss: 0.97529 (1.2157) +2025-08-21,10:44:03 | INFO | Train Epoch: 1 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.93817 (1.2020) Boundary_loss: 0.013216 (0.013195) Loss: 0.95139 (1.2152) +2025-08-21,10:45:08 | INFO | Train Epoch: 1 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.94843 (1.2015) Boundary_loss: 0.013153 (0.013195) Loss: 0.96159 (1.2147) +2025-08-21,10:46:13 | INFO | Train Epoch: 1 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 1.1197 (1.2013) Boundary_loss: 0.013385 (0.013195) Loss: 1.1330 (1.2145) +2025-08-21,10:47:19 | INFO | Train Epoch: 1 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.855 Boundary Ratio: 0.101 Contrastive_loss: 0.98739 (1.2009) Boundary_loss: 0.013141 (0.013195) Loss: 1.0005 (1.2141) +2025-08-21,10:48:24 | INFO | Train Epoch: 1 [25600512/26365952 (97%)] Avg Boundaries (per batch): 18.824 Boundary Ratio: 0.096 Contrastive_loss: 1.0366 (1.2006) Boundary_loss: 0.013110 (0.013195) Loss: 1.0497 (1.2138) +2025-08-21,10:49:30 | INFO | Train Epoch: 1 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.96295 (1.2001) Boundary_loss: 0.013087 (0.013195) Loss: 0.97603 (1.2133) +2025-08-21,10:50:35 | INFO | Train Epoch: 1 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.98232 (1.1996) Boundary_loss: 0.013113 (0.013194) Loss: 0.99543 (1.2128) +2025-08-21,10:51:41 | INFO | Train Epoch: 1 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 1.0387 (1.1993) Boundary_loss: 0.013140 (0.013194) Loss: 1.0518 (1.2125) +2025-08-21,10:52:46 | INFO | Train Epoch: 1 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 1.0554 (1.1990) Boundary_loss: 0.013159 (0.013194) Loss: 1.0686 (1.2122) +2025-08-21,10:53:52 | INFO | Train Epoch: 1 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 1.0002 (1.1987) Boundary_loss: 0.013130 (0.013194) Loss: 1.0133 (1.2118) +2025-08-21,10:54:57 | INFO | Train Epoch: 1 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 1.0115 (1.1983) Boundary_loss: 0.013269 (0.013194) Loss: 1.0248 (1.2115) +2025-08-21,10:56:02 | INFO | Train Epoch: 1 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 1.0179 (1.1979) Boundary_loss: 0.013228 (0.013194) Loss: 1.0312 (1.2111) +2025-08-21,10:57:08 | INFO | Train Epoch: 1 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.97608 (1.1975) Boundary_loss: 0.013384 (0.013195) Loss: 0.98946 (1.2107) +2025-08-21,10:58:13 | INFO | Train Epoch: 1 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.88659 (1.1969) Boundary_loss: 0.013138 (0.013195) Loss: 0.89973 (1.2101) +2025-08-21,10:59:19 | INFO | Train Epoch: 1 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 1.0539 (1.1966) Boundary_loss: 0.013082 (0.013194) Loss: 1.0670 (1.2098) +2025-08-21,11:00:24 | INFO | Train Epoch: 1 [26163712/26365952 (99%)] Avg Boundaries (per batch): 18.887 Boundary Ratio: 0.096 Contrastive_loss: 1.0731 (1.1964) Boundary_loss: 0.013147 (0.013194) Loss: 1.0863 (1.2096) +2025-08-21,11:01:30 | INFO | Train Epoch: 1 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.590 Boundary Ratio: 0.100 Contrastive_loss: 1.0372 (1.1961) Boundary_loss: 0.013166 (0.013194) Loss: 1.0503 (1.2092) +2025-08-21,11:02:35 | INFO | Train Epoch: 1 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.96349 (1.1956) Boundary_loss: 0.013133 (0.013194) Loss: 0.97662 (1.2088) +2025-08-21,11:03:41 | INFO | Train Epoch: 1 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.959 Boundary Ratio: 0.102 Contrastive_loss: 0.95832 (1.1951) Boundary_loss: 0.013301 (0.013194) Loss: 0.97162 (1.2083) +2025-08-21,11:04:43 | INFO | Train Epoch: 1 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.92999 (1.1946) Boundary_loss: 0.013066 (0.013194) Loss: 0.94306 (1.2078) +2025-08-21,11:04:43 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-21,11:04:43 | INFO | [Epoch 1] Average Step Time: 0.656s | Average GPU Memory: 37.4 GB +2025-08-21,11:04:43 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-21,11:04:43 | INFO | Starting zero-shot imagenet. +2025-08-21,11:04:43 | INFO | Building zero-shot classifier +2025-08-21,11:04:52 | INFO | Using classifier +2025-08-21,11:05:36 | INFO | Finished zero-shot imagenet. +2025-08-21,11:05:36 | INFO | Eval Epoch: 2 imagenet-zeroshot-val-top1: 0.1865 imagenet-zeroshot-val-top5: 0.3950 +2025-08-21,11:05:37 | INFO | Start epoch 2 +2025-08-21,11:05:40 | INFO | Train Epoch: 2 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.96502 (0.96502) Boundary_loss: 0.013200 (0.013200) Loss: 0.97822 (0.97822) +2025-08-21,11:06:45 | INFO | Train Epoch: 2 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.90827 (0.93665) Boundary_loss: 0.013144 (0.013172) Loss: 0.92142 (0.94982) +2025-08-21,11:07:50 | INFO | Train Epoch: 2 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 18.680 Boundary Ratio: 0.095 Contrastive_loss: 1.0398 (0.97103) Boundary_loss: 0.013337 (0.013227) Loss: 1.0531 (0.98425) +2025-08-21,11:08:55 | INFO | Train Epoch: 2 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.613 Boundary Ratio: 0.100 Contrastive_loss: 0.97804 (0.97278) Boundary_loss: 0.013064 (0.013186) Loss: 0.99110 (0.98597) +2025-08-21,11:10:00 | INFO | Train Epoch: 2 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.79168 (0.93656) Boundary_loss: 0.013135 (0.013176) Loss: 0.80482 (0.94974) +2025-08-21,11:11:05 | INFO | Train Epoch: 2 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 1.1241 (0.96782) Boundary_loss: 0.013004 (0.013147) Loss: 1.1371 (0.98097) +2025-08-21,11:12:10 | INFO | Train Epoch: 2 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 0.87803 (0.95499) Boundary_loss: 0.013380 (0.013181) Loss: 0.89141 (0.96817) +2025-08-21,11:13:15 | INFO | Train Epoch: 2 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.93120 (0.95202) Boundary_loss: 0.013197 (0.013183) Loss: 0.94439 (0.96520) +2025-08-21,11:14:19 | INFO | Train Epoch: 2 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.91091 (0.94745) Boundary_loss: 0.013114 (0.013175) Loss: 0.92402 (0.96063) +2025-08-21,11:15:24 | INFO | Train Epoch: 2 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.94762 (0.94747) Boundary_loss: 0.013069 (0.013164) Loss: 0.96069 (0.96063) +2025-08-21,11:16:30 | INFO | Train Epoch: 2 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.98428 (0.95081) Boundary_loss: 0.013233 (0.013171) Loss: 0.99751 (0.96398) +2025-08-21,11:17:35 | INFO | Train Epoch: 2 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.94556 (0.95038) Boundary_loss: 0.013251 (0.013177) Loss: 0.95881 (0.96355) +2025-08-21,11:18:40 | INFO | Train Epoch: 2 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 1.0225 (0.95592) Boundary_loss: 0.013123 (0.013173) Loss: 1.0356 (0.96910) +2025-08-21,11:19:45 | INFO | Train Epoch: 2 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.77627 (0.94309) Boundary_loss: 0.013113 (0.013169) Loss: 0.78939 (0.95626) +2025-08-21,11:20:50 | INFO | Train Epoch: 2 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.93648 (0.94265) Boundary_loss: 0.013080 (0.013163) Loss: 0.94956 (0.95581) +2025-08-21,11:21:55 | INFO | Train Epoch: 2 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 1.0775 (0.95108) Boundary_loss: 0.013074 (0.013157) Loss: 1.0905 (0.96423) +2025-08-21,11:23:00 | INFO | Train Epoch: 2 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.92509 (0.94955) Boundary_loss: 0.013140 (0.013156) Loss: 0.93823 (0.96271) +2025-08-21,11:24:05 | INFO | Train Epoch: 2 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.96805 (0.95058) Boundary_loss: 0.013268 (0.013163) Loss: 0.98132 (0.96374) +2025-08-21,11:25:10 | INFO | Train Epoch: 2 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.92683 (0.94933) Boundary_loss: 0.013187 (0.013164) Loss: 0.94002 (0.96249) +2025-08-21,11:26:15 | INFO | Train Epoch: 2 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.99808 (0.95176) Boundary_loss: 0.013095 (0.013160) Loss: 1.0112 (0.96493) +2025-08-21,11:27:20 | INFO | Train Epoch: 2 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.633 Boundary Ratio: 0.100 Contrastive_loss: 1.0041 (0.95426) Boundary_loss: 0.013142 (0.013160) Loss: 1.0172 (0.96742) +2025-08-21,11:28:25 | INFO | Train Epoch: 2 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 18.982 Boundary Ratio: 0.097 Contrastive_loss: 0.98470 (0.95564) Boundary_loss: 0.013182 (0.013161) Loss: 0.99788 (0.96880) +2025-08-21,11:29:30 | INFO | Train Epoch: 2 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.85434 (0.95124) Boundary_loss: 0.013156 (0.013160) Loss: 0.86750 (0.96440) +2025-08-21,11:30:35 | INFO | Train Epoch: 2 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 1.0080 (0.95360) Boundary_loss: 0.013297 (0.013166) Loss: 1.0213 (0.96677) +2025-08-21,11:31:40 | INFO | Train Epoch: 2 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 0.89378 (0.95121) Boundary_loss: 0.013150 (0.013165) Loss: 0.90694 (0.96438) +2025-08-21,11:32:45 | INFO | Train Epoch: 2 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.94873 (0.95111) Boundary_loss: 0.013165 (0.013165) Loss: 0.96189 (0.96428) +2025-08-21,11:33:50 | INFO | Train Epoch: 2 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.91259 (0.94969) Boundary_loss: 0.013288 (0.013170) Loss: 0.92588 (0.96286) +2025-08-21,11:34:55 | INFO | Train Epoch: 2 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 1.0148 (0.95201) Boundary_loss: 0.013053 (0.013166) Loss: 1.0278 (0.96518) +2025-08-21,11:36:00 | INFO | Train Epoch: 2 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 18.873 Boundary Ratio: 0.096 Contrastive_loss: 0.95735 (0.95220) Boundary_loss: 0.013247 (0.013169) Loss: 0.97060 (0.96537) +2025-08-21,11:37:05 | INFO | Train Epoch: 2 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.86954 (0.94944) Boundary_loss: 0.013098 (0.013166) Loss: 0.88264 (0.96261) +2025-08-21,11:38:10 | INFO | Train Epoch: 2 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 1.0708 (0.95336) Boundary_loss: 0.013172 (0.013166) Loss: 1.0840 (0.96652) +2025-08-21,11:39:15 | INFO | Train Epoch: 2 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.81293 (0.94897) Boundary_loss: 0.013097 (0.013164) Loss: 0.82602 (0.96213) +2025-08-21,11:40:20 | INFO | Train Epoch: 2 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.947 Boundary Ratio: 0.102 Contrastive_loss: 0.89535 (0.94734) Boundary_loss: 0.013257 (0.013167) Loss: 0.90861 (0.96051) +2025-08-21,11:41:25 | INFO | Train Epoch: 2 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 1.0046 (0.94903) Boundary_loss: 0.013133 (0.013166) Loss: 1.0177 (0.96219) +2025-08-21,11:42:30 | INFO | Train Epoch: 2 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.98360 (0.95001) Boundary_loss: 0.013138 (0.013165) Loss: 0.99674 (0.96318) +2025-08-21,11:43:35 | INFO | Train Epoch: 2 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.688 Boundary Ratio: 0.100 Contrastive_loss: 0.84428 (0.94708) Boundary_loss: 0.013163 (0.013165) Loss: 0.85744 (0.96024) +2025-08-21,11:44:40 | INFO | Train Epoch: 2 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.97373 (0.94780) Boundary_loss: 0.013217 (0.013167) Loss: 0.98694 (0.96096) +2025-08-21,11:45:45 | INFO | Train Epoch: 2 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.96373 (0.94822) Boundary_loss: 0.013055 (0.013164) Loss: 0.97678 (0.96138) +2025-08-21,11:46:50 | INFO | Train Epoch: 2 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.83660 (0.94535) Boundary_loss: 0.013142 (0.013163) Loss: 0.84974 (0.95852) +2025-08-21,11:47:55 | INFO | Train Epoch: 2 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.96007 (0.94572) Boundary_loss: 0.013080 (0.013161) Loss: 0.97315 (0.95888) +2025-08-21,11:49:01 | INFO | Train Epoch: 2 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.95953 (0.94606) Boundary_loss: 0.013087 (0.013159) Loss: 0.97262 (0.95922) +2025-08-21,11:50:06 | INFO | Train Epoch: 2 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.723 Boundary Ratio: 0.101 Contrastive_loss: 0.93237 (0.94573) Boundary_loss: 0.013121 (0.013158) Loss: 0.94549 (0.95889) +2025-08-21,11:51:11 | INFO | Train Epoch: 2 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.92177 (0.94518) Boundary_loss: 0.013189 (0.013159) Loss: 0.93496 (0.95833) +2025-08-21,11:52:16 | INFO | Train Epoch: 2 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 1.0486 (0.94753) Boundary_loss: 0.013179 (0.013159) Loss: 1.0618 (0.96069) +2025-08-21,11:53:21 | INFO | Train Epoch: 2 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 0.99727 (0.94863) Boundary_loss: 0.013195 (0.013160) Loss: 1.0105 (0.96179) +2025-08-21,11:54:26 | INFO | Train Epoch: 2 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.580 Boundary Ratio: 0.100 Contrastive_loss: 0.95215 (0.94871) Boundary_loss: 0.013191 (0.013161) Loss: 0.96534 (0.96187) +2025-08-21,11:55:31 | INFO | Train Epoch: 2 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.91298 (0.94795) Boundary_loss: 0.013196 (0.013162) Loss: 0.92618 (0.96111) +2025-08-21,11:56:36 | INFO | Train Epoch: 2 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.98863 (0.94880) Boundary_loss: 0.013214 (0.013163) Loss: 1.0018 (0.96196) +2025-08-21,11:57:41 | INFO | Train Epoch: 2 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.89936 (0.94779) Boundary_loss: 0.012981 (0.013159) Loss: 0.91234 (0.96095) +2025-08-21,11:58:46 | INFO | Train Epoch: 2 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.83446 (0.94552) Boundary_loss: 0.013117 (0.013158) Loss: 0.84757 (0.95868) +2025-08-21,11:59:51 | INFO | Train Epoch: 2 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.86999 (0.94404) Boundary_loss: 0.013211 (0.013159) Loss: 0.88321 (0.95720) +2025-08-21,12:00:56 | INFO | Train Epoch: 2 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.84586 (0.94215) Boundary_loss: 0.013235 (0.013161) Loss: 0.85910 (0.95531) +2025-08-21,12:02:01 | INFO | Train Epoch: 2 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 18.863 Boundary Ratio: 0.096 Contrastive_loss: 0.83796 (0.94019) Boundary_loss: 0.013155 (0.013161) Loss: 0.85112 (0.95335) +2025-08-21,12:03:07 | INFO | Train Epoch: 2 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 1.0991 (0.94313) Boundary_loss: 0.013083 (0.013159) Loss: 1.1121 (0.95629) +2025-08-21,12:04:12 | INFO | Train Epoch: 2 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.695 Boundary Ratio: 0.100 Contrastive_loss: 0.98477 (0.94388) Boundary_loss: 0.013236 (0.013161) Loss: 0.99800 (0.95705) +2025-08-21,12:05:17 | INFO | Train Epoch: 2 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.82981 (0.94185) Boundary_loss: 0.013161 (0.013161) Loss: 0.84297 (0.95501) +2025-08-21,12:06:22 | INFO | Train Epoch: 2 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 18.838 Boundary Ratio: 0.096 Contrastive_loss: 0.82826 (0.93986) Boundary_loss: 0.013270 (0.013162) Loss: 0.84153 (0.95302) +2025-08-21,12:07:27 | INFO | Train Epoch: 2 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.93121 (0.93971) Boundary_loss: 0.013171 (0.013163) Loss: 0.94438 (0.95287) +2025-08-21,12:08:32 | INFO | Train Epoch: 2 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.97692 (0.94034) Boundary_loss: 0.013093 (0.013161) Loss: 0.99002 (0.95350) +2025-08-21,12:09:37 | INFO | Train Epoch: 2 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 18.926 Boundary Ratio: 0.097 Contrastive_loss: 0.97228 (0.94087) Boundary_loss: 0.013138 (0.013161) Loss: 0.98542 (0.95403) +2025-08-21,12:10:42 | INFO | Train Epoch: 2 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.85647 (0.93949) Boundary_loss: 0.013170 (0.013161) Loss: 0.86964 (0.95265) +2025-08-21,12:11:48 | INFO | Train Epoch: 2 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 18.768 Boundary Ratio: 0.096 Contrastive_loss: 0.95878 (0.93980) Boundary_loss: 0.013174 (0.013161) Loss: 0.97196 (0.95296) +2025-08-21,12:12:53 | INFO | Train Epoch: 2 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.94214 (0.93983) Boundary_loss: 0.013152 (0.013161) Loss: 0.95529 (0.95300) +2025-08-21,12:13:58 | INFO | Train Epoch: 2 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 1.0076 (0.94089) Boundary_loss: 0.013179 (0.013162) Loss: 1.0208 (0.95405) +2025-08-21,12:15:03 | INFO | Train Epoch: 2 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 1.0130 (0.94200) Boundary_loss: 0.013065 (0.013160) Loss: 1.0260 (0.95516) +2025-08-21,12:16:08 | INFO | Train Epoch: 2 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.650 Boundary Ratio: 0.100 Contrastive_loss: 0.99744 (0.94284) Boundary_loss: 0.013245 (0.013161) Loss: 1.0107 (0.95600) +2025-08-21,12:17:13 | INFO | Train Epoch: 2 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 18.793 Boundary Ratio: 0.096 Contrastive_loss: 0.86409 (0.94167) Boundary_loss: 0.013174 (0.013162) Loss: 0.87726 (0.95483) +2025-08-21,12:18:18 | INFO | Train Epoch: 2 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.79231 (0.93947) Boundary_loss: 0.013076 (0.013160) Loss: 0.80539 (0.95263) +2025-08-21,12:19:23 | INFO | Train Epoch: 2 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 18.910 Boundary Ratio: 0.096 Contrastive_loss: 0.76565 (0.93695) Boundary_loss: 0.013140 (0.013160) Loss: 0.77879 (0.95011) +2025-08-21,12:20:29 | INFO | Train Epoch: 2 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.90595 (0.93651) Boundary_loss: 0.013110 (0.013159) Loss: 0.91906 (0.94967) +2025-08-21,12:21:34 | INFO | Train Epoch: 2 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.90035 (0.93600) Boundary_loss: 0.013143 (0.013159) Loss: 0.91350 (0.94916) +2025-08-21,12:22:39 | INFO | Train Epoch: 2 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.93189 (0.93594) Boundary_loss: 0.013235 (0.013160) Loss: 0.94513 (0.94910) +2025-08-21,12:23:44 | INFO | Train Epoch: 2 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 1.0548 (0.93757) Boundary_loss: 0.013086 (0.013159) Loss: 1.0679 (0.95073) +2025-08-21,12:24:49 | INFO | Train Epoch: 2 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 1.1046 (0.93983) Boundary_loss: 0.013009 (0.013157) Loss: 1.1176 (0.95299) +2025-08-21,12:25:54 | INFO | Train Epoch: 2 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.85243 (0.93866) Boundary_loss: 0.013085 (0.013156) Loss: 0.86551 (0.95182) +2025-08-21,12:26:59 | INFO | Train Epoch: 2 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.97004 (0.93908) Boundary_loss: 0.013107 (0.013155) Loss: 0.98314 (0.95223) +2025-08-21,12:28:04 | INFO | Train Epoch: 2 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.94510 (0.93915) Boundary_loss: 0.013154 (0.013155) Loss: 0.95825 (0.95231) +2025-08-21,12:29:09 | INFO | Train Epoch: 2 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 1.0080 (0.94004) Boundary_loss: 0.013233 (0.013156) Loss: 1.0213 (0.95319) +2025-08-21,12:30:15 | INFO | Train Epoch: 2 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.525 Boundary Ratio: 0.100 Contrastive_loss: 0.83247 (0.93868) Boundary_loss: 0.013178 (0.013157) Loss: 0.84564 (0.95183) +2025-08-21,12:31:20 | INFO | Train Epoch: 2 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.738 Boundary Ratio: 0.101 Contrastive_loss: 0.81582 (0.93714) Boundary_loss: 0.013145 (0.013157) Loss: 0.82896 (0.95030) +2025-08-21,12:32:25 | INFO | Train Epoch: 2 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.87849 (0.93642) Boundary_loss: 0.012987 (0.013154) Loss: 0.89148 (0.94957) +2025-08-21,12:33:30 | INFO | Train Epoch: 2 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.85240 (0.93539) Boundary_loss: 0.013171 (0.013155) Loss: 0.86558 (0.94855) +2025-08-21,12:34:35 | INFO | Train Epoch: 2 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.89207 (0.93487) Boundary_loss: 0.013101 (0.013154) Loss: 0.90517 (0.94802) +2025-08-21,12:35:40 | INFO | Train Epoch: 2 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.79498 (0.93320) Boundary_loss: 0.013086 (0.013153) Loss: 0.80807 (0.94636) +2025-08-21,12:36:45 | INFO | Train Epoch: 2 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.732 Boundary Ratio: 0.101 Contrastive_loss: 0.88652 (0.93265) Boundary_loss: 0.013134 (0.013153) Loss: 0.89965 (0.94581) +2025-08-21,12:37:50 | INFO | Train Epoch: 2 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.89485 (0.93222) Boundary_loss: 0.013143 (0.013153) Loss: 0.90800 (0.94537) +2025-08-21,12:38:56 | INFO | Train Epoch: 2 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.551 Boundary Ratio: 0.100 Contrastive_loss: 0.91033 (0.93196) Boundary_loss: 0.013102 (0.013152) Loss: 0.92343 (0.94512) +2025-08-21,12:40:01 | INFO | Train Epoch: 2 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.92753 (0.93191) Boundary_loss: 0.013093 (0.013152) Loss: 0.94063 (0.94506) +2025-08-21,12:41:06 | INFO | Train Epoch: 2 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.84982 (0.93099) Boundary_loss: 0.013150 (0.013152) Loss: 0.86297 (0.94414) +2025-08-21,12:42:11 | INFO | Train Epoch: 2 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.99689 (0.93172) Boundary_loss: 0.013156 (0.013152) Loss: 1.0100 (0.94487) +2025-08-21,12:43:16 | INFO | Train Epoch: 2 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.568 Boundary Ratio: 0.100 Contrastive_loss: 0.88098 (0.93117) Boundary_loss: 0.013049 (0.013151) Loss: 0.89403 (0.94432) +2025-08-21,12:44:21 | INFO | Train Epoch: 2 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.93261 (0.93118) Boundary_loss: 0.013130 (0.013150) Loss: 0.94574 (0.94433) +2025-08-21,12:45:26 | INFO | Train Epoch: 2 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.98510 (0.93176) Boundary_loss: 0.013134 (0.013150) Loss: 0.99823 (0.94491) +2025-08-21,12:46:32 | INFO | Train Epoch: 2 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.95850 (0.93205) Boundary_loss: 0.013051 (0.013149) Loss: 0.97155 (0.94519) +2025-08-21,12:47:37 | INFO | Train Epoch: 2 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 1.0225 (0.93300) Boundary_loss: 0.013039 (0.013148) Loss: 1.0355 (0.94614) +2025-08-21,12:48:42 | INFO | Train Epoch: 2 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.842 Boundary Ratio: 0.101 Contrastive_loss: 1.1072 (0.93481) Boundary_loss: 0.013238 (0.013149) Loss: 1.1205 (0.94796) +2025-08-21,12:49:47 | INFO | Train Epoch: 2 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.631 Boundary Ratio: 0.100 Contrastive_loss: 0.99215 (0.93540) Boundary_loss: 0.013202 (0.013149) Loss: 1.0053 (0.94855) +2025-08-21,12:50:52 | INFO | Train Epoch: 2 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 0.87000 (0.93474) Boundary_loss: 0.013109 (0.013149) Loss: 0.88311 (0.94788) +2025-08-21,12:51:57 | INFO | Train Epoch: 2 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.85130 (0.93389) Boundary_loss: 0.013262 (0.013150) Loss: 0.86456 (0.94704) +2025-08-21,12:53:02 | INFO | Train Epoch: 2 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.92994 (0.93385) Boundary_loss: 0.013064 (0.013149) Loss: 0.94301 (0.94700) +2025-08-21,12:54:07 | INFO | Train Epoch: 2 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.98133 (0.93432) Boundary_loss: 0.012989 (0.013148) Loss: 0.99432 (0.94747) +2025-08-21,12:55:12 | INFO | Train Epoch: 2 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.81511 (0.93315) Boundary_loss: 0.013219 (0.013148) Loss: 0.82833 (0.94630) +2025-08-21,12:56:18 | INFO | Train Epoch: 2 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.570 Boundary Ratio: 0.100 Contrastive_loss: 0.87207 (0.93256) Boundary_loss: 0.013062 (0.013148) Loss: 0.88513 (0.94571) +2025-08-21,12:57:23 | INFO | Train Epoch: 2 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.81044 (0.93139) Boundary_loss: 0.013162 (0.013148) Loss: 0.82360 (0.94454) +2025-08-21,12:58:28 | INFO | Train Epoch: 2 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.81890 (0.93032) Boundary_loss: 0.013151 (0.013148) Loss: 0.83205 (0.94346) +2025-08-21,12:59:33 | INFO | Train Epoch: 2 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.693 Boundary Ratio: 0.100 Contrastive_loss: 0.83354 (0.92940) Boundary_loss: 0.013160 (0.013148) Loss: 0.84670 (0.94255) +2025-08-21,13:00:39 | INFO | Train Epoch: 2 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.92577 (0.92937) Boundary_loss: 0.013085 (0.013147) Loss: 0.93886 (0.94252) +2025-08-21,13:01:44 | INFO | Train Epoch: 2 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.98994 (0.92993) Boundary_loss: 0.013113 (0.013147) Loss: 1.0030 (0.94308) +2025-08-21,13:02:49 | INFO | Train Epoch: 2 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.88269 (0.92950) Boundary_loss: 0.013109 (0.013147) Loss: 0.89580 (0.94264) +2025-08-21,13:03:55 | INFO | Train Epoch: 2 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.96085 (0.92978) Boundary_loss: 0.013056 (0.013146) Loss: 0.97391 (0.94293) +2025-08-21,13:05:00 | INFO | Train Epoch: 2 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.76408 (0.92829) Boundary_loss: 0.013166 (0.013146) Loss: 0.77724 (0.94143) +2025-08-21,13:06:05 | INFO | Train Epoch: 2 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.78628 (0.92702) Boundary_loss: 0.013157 (0.013146) Loss: 0.79944 (0.94017) +2025-08-21,13:07:10 | INFO | Train Epoch: 2 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 1.0663 (0.92825) Boundary_loss: 0.013035 (0.013145) Loss: 1.0793 (0.94140) +2025-08-21,13:08:15 | INFO | Train Epoch: 2 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.664 Boundary Ratio: 0.100 Contrastive_loss: 0.83719 (0.92745) Boundary_loss: 0.013196 (0.013145) Loss: 0.85038 (0.94060) +2025-08-21,13:09:20 | INFO | Train Epoch: 2 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.92767 (0.92746) Boundary_loss: 0.013072 (0.013145) Loss: 0.94074 (0.94060) +2025-08-21,13:10:25 | INFO | Train Epoch: 2 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.689 Boundary Ratio: 0.100 Contrastive_loss: 0.84841 (0.92677) Boundary_loss: 0.013046 (0.013144) Loss: 0.86145 (0.93992) +2025-08-21,13:11:30 | INFO | Train Epoch: 2 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.90515 (0.92659) Boundary_loss: 0.012997 (0.013143) Loss: 0.91815 (0.93973) +2025-08-21,13:12:35 | INFO | Train Epoch: 2 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.82422 (0.92572) Boundary_loss: 0.013082 (0.013142) Loss: 0.83731 (0.93886) +2025-08-21,13:13:40 | INFO | Train Epoch: 2 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.81035 (0.92475) Boundary_loss: 0.013260 (0.013143) Loss: 0.82361 (0.93790) +2025-08-21,13:14:45 | INFO | Train Epoch: 2 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.90753 (0.92461) Boundary_loss: 0.013255 (0.013144) Loss: 0.92078 (0.93775) +2025-08-21,13:15:51 | INFO | Train Epoch: 2 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.94989 (0.92482) Boundary_loss: 0.013115 (0.013144) Loss: 0.96301 (0.93796) +2025-08-21,13:16:56 | INFO | Train Epoch: 2 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.95099 (0.92503) Boundary_loss: 0.013169 (0.013144) Loss: 0.96416 (0.93818) +2025-08-21,13:18:01 | INFO | Train Epoch: 2 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 0.92929 (0.92507) Boundary_loss: 0.013228 (0.013145) Loss: 0.94251 (0.93821) +2025-08-21,13:19:06 | INFO | Train Epoch: 2 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.82255 (0.92424) Boundary_loss: 0.012991 (0.013144) Loss: 0.83554 (0.93738) +2025-08-21,13:20:11 | INFO | Train Epoch: 2 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.84891 (0.92364) Boundary_loss: 0.013124 (0.013143) Loss: 0.86203 (0.93678) +2025-08-21,13:21:16 | INFO | Train Epoch: 2 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 18.914 Boundary Ratio: 0.097 Contrastive_loss: 0.88158 (0.92330) Boundary_loss: 0.013125 (0.013143) Loss: 0.89470 (0.93645) +2025-08-21,13:22:21 | INFO | Train Epoch: 2 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 0.88192 (0.92298) Boundary_loss: 0.013220 (0.013144) Loss: 0.89514 (0.93612) +2025-08-21,13:23:26 | INFO | Train Epoch: 2 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.95588 (0.92324) Boundary_loss: 0.013059 (0.013143) Loss: 0.96894 (0.93638) +2025-08-21,13:24:32 | INFO | Train Epoch: 2 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.78056 (0.92213) Boundary_loss: 0.013049 (0.013142) Loss: 0.79361 (0.93527) +2025-08-21,13:25:37 | INFO | Train Epoch: 2 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.81844 (0.92133) Boundary_loss: 0.013178 (0.013143) Loss: 0.83162 (0.93447) +2025-08-21,13:26:42 | INFO | Train Epoch: 2 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.627 Boundary Ratio: 0.100 Contrastive_loss: 0.86338 (0.92089) Boundary_loss: 0.013126 (0.013143) Loss: 0.87651 (0.93403) +2025-08-21,13:27:47 | INFO | Train Epoch: 2 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.91201 (0.92082) Boundary_loss: 0.013165 (0.013143) Loss: 0.92517 (0.93396) +2025-08-21,13:28:52 | INFO | Train Epoch: 2 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.715 Boundary Ratio: 0.101 Contrastive_loss: 0.83769 (0.92020) Boundary_loss: 0.013135 (0.013143) Loss: 0.85082 (0.93334) +2025-08-21,13:29:57 | INFO | Train Epoch: 2 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.873 Boundary Ratio: 0.101 Contrastive_loss: 0.88912 (0.91997) Boundary_loss: 0.013199 (0.013143) Loss: 0.90232 (0.93311) +2025-08-21,13:31:03 | INFO | Train Epoch: 2 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.617 Boundary Ratio: 0.100 Contrastive_loss: 0.80605 (0.91912) Boundary_loss: 0.013153 (0.013143) Loss: 0.81921 (0.93226) +2025-08-21,13:32:08 | INFO | Train Epoch: 2 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.92762 (0.91918) Boundary_loss: 0.013141 (0.013143) Loss: 0.94076 (0.93233) +2025-08-21,13:33:13 | INFO | Train Epoch: 2 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.90386 (0.91907) Boundary_loss: 0.013195 (0.013144) Loss: 0.91706 (0.93222) +2025-08-21,13:34:18 | INFO | Train Epoch: 2 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.83096 (0.91843) Boundary_loss: 0.013121 (0.013143) Loss: 0.84408 (0.93158) +2025-08-21,13:35:23 | INFO | Train Epoch: 2 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 0.77631 (0.91741) Boundary_loss: 0.013145 (0.013143) Loss: 0.78945 (0.93055) +2025-08-21,13:36:28 | INFO | Train Epoch: 2 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.73305 (0.91609) Boundary_loss: 0.012983 (0.013142) Loss: 0.74604 (0.92924) +2025-08-21,13:37:34 | INFO | Train Epoch: 2 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.580 Boundary Ratio: 0.100 Contrastive_loss: 0.80742 (0.91532) Boundary_loss: 0.013210 (0.013143) Loss: 0.82063 (0.92847) +2025-08-21,13:38:39 | INFO | Train Epoch: 2 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.77353 (0.91432) Boundary_loss: 0.013169 (0.013143) Loss: 0.78670 (0.92747) +2025-08-21,13:39:44 | INFO | Train Epoch: 2 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.90653 (0.91427) Boundary_loss: 0.013079 (0.013142) Loss: 0.91961 (0.92741) +2025-08-21,13:40:49 | INFO | Train Epoch: 2 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.611 Boundary Ratio: 0.100 Contrastive_loss: 0.88883 (0.91409) Boundary_loss: 0.013114 (0.013142) Loss: 0.90195 (0.92724) +2025-08-21,13:41:55 | INFO | Train Epoch: 2 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.81618 (0.91342) Boundary_loss: 0.013136 (0.013142) Loss: 0.82932 (0.92656) +2025-08-21,13:43:00 | INFO | Train Epoch: 2 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.84662 (0.91296) Boundary_loss: 0.013028 (0.013141) Loss: 0.85965 (0.92610) +2025-08-21,13:44:05 | INFO | Train Epoch: 2 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.69386 (0.91147) Boundary_loss: 0.013109 (0.013141) Loss: 0.70697 (0.92461) +2025-08-21,13:45:10 | INFO | Train Epoch: 2 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 18.930 Boundary Ratio: 0.097 Contrastive_loss: 0.99775 (0.91205) Boundary_loss: 0.013052 (0.013141) Loss: 1.0108 (0.92519) +2025-08-21,13:46:15 | INFO | Train Epoch: 2 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.80796 (0.91135) Boundary_loss: 0.013198 (0.013141) Loss: 0.82116 (0.92450) +2025-08-21,13:47:21 | INFO | Train Epoch: 2 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 0.81496 (0.91071) Boundary_loss: 0.013210 (0.013141) Loss: 0.82817 (0.92385) +2025-08-21,13:48:26 | INFO | Train Epoch: 2 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.785 Boundary Ratio: 0.101 Contrastive_loss: 1.0190 (0.91143) Boundary_loss: 0.013153 (0.013142) Loss: 1.0321 (0.92457) +2025-08-21,13:49:31 | INFO | Train Epoch: 2 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.92678 (0.91153) Boundary_loss: 0.013111 (0.013141) Loss: 0.93989 (0.92467) +2025-08-21,13:50:36 | INFO | Train Epoch: 2 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.80142 (0.91081) Boundary_loss: 0.013143 (0.013141) Loss: 0.81456 (0.92395) +2025-08-21,13:51:41 | INFO | Train Epoch: 2 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.80728 (0.91014) Boundary_loss: 0.013058 (0.013141) Loss: 0.82033 (0.92328) +2025-08-21,13:52:46 | INFO | Train Epoch: 2 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.97909 (0.91058) Boundary_loss: 0.013149 (0.013141) Loss: 0.99224 (0.92372) +2025-08-21,13:53:52 | INFO | Train Epoch: 2 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.87786 (0.91037) Boundary_loss: 0.013114 (0.013141) Loss: 0.89097 (0.92351) +2025-08-21,13:54:57 | INFO | Train Epoch: 2 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.90907 (0.91036) Boundary_loss: 0.013125 (0.013141) Loss: 0.92220 (0.92351) +2025-08-21,13:56:02 | INFO | Train Epoch: 2 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.70757 (0.90908) Boundary_loss: 0.013169 (0.013141) Loss: 0.72074 (0.92222) +2025-08-21,13:57:07 | INFO | Train Epoch: 2 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.84856 (0.90870) Boundary_loss: 0.013123 (0.013141) Loss: 0.86168 (0.92184) +2025-08-21,13:58:12 | INFO | Train Epoch: 2 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.85518 (0.90837) Boundary_loss: 0.013154 (0.013141) Loss: 0.86833 (0.92151) +2025-08-21,13:59:18 | INFO | Train Epoch: 2 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.94397 (0.90859) Boundary_loss: 0.013211 (0.013141) Loss: 0.95719 (0.92173) +2025-08-21,14:00:23 | INFO | Train Epoch: 2 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.86334 (0.90831) Boundary_loss: 0.013210 (0.013142) Loss: 0.87655 (0.92145) +2025-08-21,14:01:28 | INFO | Train Epoch: 2 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.81274 (0.90772) Boundary_loss: 0.013221 (0.013142) Loss: 0.82597 (0.92086) +2025-08-21,14:02:33 | INFO | Train Epoch: 2 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.81055 (0.90713) Boundary_loss: 0.012999 (0.013141) Loss: 0.82355 (0.92027) +2025-08-21,14:03:38 | INFO | Train Epoch: 2 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.85763 (0.90683) Boundary_loss: 0.013198 (0.013142) Loss: 0.87083 (0.91997) +2025-08-21,14:04:44 | INFO | Train Epoch: 2 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 18.938 Boundary Ratio: 0.097 Contrastive_loss: 0.93758 (0.90701) Boundary_loss: 0.013211 (0.013142) Loss: 0.95080 (0.92016) +2025-08-21,14:05:49 | INFO | Train Epoch: 2 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.81263 (0.90645) Boundary_loss: 0.013207 (0.013142) Loss: 0.82583 (0.91959) +2025-08-21,14:06:54 | INFO | Train Epoch: 2 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 18.986 Boundary Ratio: 0.097 Contrastive_loss: 0.84207 (0.90607) Boundary_loss: 0.013201 (0.013143) Loss: 0.85527 (0.91921) +2025-08-21,14:07:59 | INFO | Train Epoch: 2 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 18.926 Boundary Ratio: 0.097 Contrastive_loss: 0.84085 (0.90568) Boundary_loss: 0.013079 (0.013142) Loss: 0.85393 (0.91882) +2025-08-21,14:09:04 | INFO | Train Epoch: 2 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.92133 (0.90577) Boundary_loss: 0.013131 (0.013142) Loss: 0.93446 (0.91891) +2025-08-21,14:10:10 | INFO | Train Epoch: 2 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.86980 (0.90556) Boundary_loss: 0.013150 (0.013142) Loss: 0.88295 (0.91870) +2025-08-21,14:11:15 | INFO | Train Epoch: 2 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.90515 (0.90556) Boundary_loss: 0.013154 (0.013142) Loss: 0.91831 (0.91870) +2025-08-21,14:12:20 | INFO | Train Epoch: 2 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 1.0044 (0.90613) Boundary_loss: 0.013228 (0.013143) Loss: 1.0176 (0.91927) +2025-08-21,14:13:25 | INFO | Train Epoch: 2 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.98026 (0.90656) Boundary_loss: 0.013126 (0.013143) Loss: 0.99339 (0.91970) +2025-08-21,14:14:30 | INFO | Train Epoch: 2 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.670 Boundary Ratio: 0.100 Contrastive_loss: 0.75583 (0.90570) Boundary_loss: 0.013175 (0.013143) Loss: 0.76901 (0.91884) +2025-08-21,14:15:35 | INFO | Train Epoch: 2 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.85373 (0.90540) Boundary_loss: 0.013140 (0.013143) Loss: 0.86687 (0.91854) +2025-08-21,14:16:41 | INFO | Train Epoch: 2 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.85958 (0.90514) Boundary_loss: 0.013117 (0.013143) Loss: 0.87270 (0.91828) +2025-08-21,14:17:46 | INFO | Train Epoch: 2 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.87208 (0.90496) Boundary_loss: 0.013123 (0.013143) Loss: 0.88520 (0.91810) +2025-08-21,14:18:51 | INFO | Train Epoch: 2 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.85360 (0.90467) Boundary_loss: 0.013135 (0.013143) Loss: 0.86674 (0.91781) +2025-08-21,14:19:56 | INFO | Train Epoch: 2 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.98840 (0.90513) Boundary_loss: 0.013147 (0.013143) Loss: 1.0016 (0.91828) +2025-08-21,14:21:02 | INFO | Train Epoch: 2 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.85622 (0.90486) Boundary_loss: 0.013104 (0.013142) Loss: 0.86932 (0.91801) +2025-08-21,14:22:07 | INFO | Train Epoch: 2 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.84264 (0.90452) Boundary_loss: 0.013052 (0.013142) Loss: 0.85569 (0.91766) +2025-08-21,14:23:12 | INFO | Train Epoch: 2 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.87445 (0.90436) Boundary_loss: 0.013113 (0.013142) Loss: 0.88756 (0.91750) +2025-08-21,14:24:17 | INFO | Train Epoch: 2 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 0.85047 (0.90406) Boundary_loss: 0.013195 (0.013142) Loss: 0.86366 (0.91721) +2025-08-21,14:25:22 | INFO | Train Epoch: 2 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.623 Boundary Ratio: 0.100 Contrastive_loss: 0.84096 (0.90372) Boundary_loss: 0.013092 (0.013142) Loss: 0.85406 (0.91687) +2025-08-21,14:26:28 | INFO | Train Epoch: 2 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.551 Boundary Ratio: 0.100 Contrastive_loss: 0.94892 (0.90397) Boundary_loss: 0.013094 (0.013142) Loss: 0.96201 (0.91711) +2025-08-21,14:27:33 | INFO | Train Epoch: 2 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.92781 (0.90409) Boundary_loss: 0.013094 (0.013141) Loss: 0.94090 (0.91724) +2025-08-21,14:28:38 | INFO | Train Epoch: 2 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.73290 (0.90318) Boundary_loss: 0.013095 (0.013141) Loss: 0.74600 (0.91632) +2025-08-21,14:29:43 | INFO | Train Epoch: 2 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.76463 (0.90245) Boundary_loss: 0.013010 (0.013140) Loss: 0.77764 (0.91559) +2025-08-21,14:30:49 | INFO | Train Epoch: 2 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 0.73106 (0.90155) Boundary_loss: 0.013133 (0.013140) Loss: 0.74420 (0.91469) +2025-08-21,14:31:54 | INFO | Train Epoch: 2 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.88094 (0.90144) Boundary_loss: 0.013042 (0.013140) Loss: 0.89398 (0.91458) +2025-08-21,14:32:59 | INFO | Train Epoch: 2 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.84180 (0.90113) Boundary_loss: 0.013094 (0.013140) Loss: 0.85489 (0.91427) +2025-08-21,14:34:04 | INFO | Train Epoch: 2 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.82612 (0.90074) Boundary_loss: 0.013181 (0.013140) Loss: 0.83930 (0.91388) +2025-08-21,14:35:09 | INFO | Train Epoch: 2 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.95148 (0.90100) Boundary_loss: 0.013203 (0.013140) Loss: 0.96469 (0.91414) +2025-08-21,14:36:15 | INFO | Train Epoch: 2 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.85150 (0.90075) Boundary_loss: 0.013205 (0.013140) Loss: 0.86470 (0.91389) +2025-08-21,14:37:20 | INFO | Train Epoch: 2 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.79878 (0.90023) Boundary_loss: 0.013132 (0.013140) Loss: 0.81191 (0.91337) +2025-08-21,14:38:25 | INFO | Train Epoch: 2 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.90325 (0.90024) Boundary_loss: 0.013174 (0.013141) Loss: 0.91642 (0.91338) +2025-08-21,14:39:30 | INFO | Train Epoch: 2 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.79331 (0.89970) Boundary_loss: 0.013247 (0.013141) Loss: 0.80655 (0.91285) +2025-08-21,14:40:35 | INFO | Train Epoch: 2 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.83613 (0.89938) Boundary_loss: 0.013226 (0.013142) Loss: 0.84935 (0.91253) +2025-08-21,14:41:41 | INFO | Train Epoch: 2 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.94602 (0.89962) Boundary_loss: 0.013062 (0.013141) Loss: 0.95908 (0.91276) +2025-08-21,14:42:46 | INFO | Train Epoch: 2 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.90060 (0.89962) Boundary_loss: 0.013115 (0.013141) Loss: 0.91371 (0.91276) +2025-08-21,14:43:51 | INFO | Train Epoch: 2 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.643 Boundary Ratio: 0.100 Contrastive_loss: 0.89357 (0.89959) Boundary_loss: 0.013196 (0.013141) Loss: 0.90676 (0.91273) +2025-08-21,14:44:56 | INFO | Train Epoch: 2 [10342912/26365952 (39%)] Avg Boundaries (per batch): 18.932 Boundary Ratio: 0.097 Contrastive_loss: 0.76774 (0.89894) Boundary_loss: 0.013166 (0.013141) Loss: 0.78091 (0.91208) +2025-08-21,14:46:01 | INFO | Train Epoch: 2 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.86175 (0.89876) Boundary_loss: 0.013145 (0.013141) Loss: 0.87489 (0.91190) +2025-08-21,14:47:07 | INFO | Train Epoch: 2 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.74896 (0.89803) Boundary_loss: 0.013146 (0.013141) Loss: 0.76211 (0.91117) +2025-08-21,14:48:12 | INFO | Train Epoch: 2 [10496512/26365952 (40%)] Avg Boundaries (per batch): 18.979 Boundary Ratio: 0.097 Contrastive_loss: 0.84059 (0.89775) Boundary_loss: 0.013041 (0.013141) Loss: 0.85363 (0.91089) +2025-08-21,14:49:17 | INFO | Train Epoch: 2 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.85375 (0.89754) Boundary_loss: 0.013293 (0.013142) Loss: 0.86704 (0.91068) +2025-08-21,14:50:22 | INFO | Train Epoch: 2 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.93733 (0.89773) Boundary_loss: 0.013113 (0.013142) Loss: 0.95044 (0.91087) +2025-08-21,14:51:28 | INFO | Train Epoch: 2 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.83559 (0.89743) Boundary_loss: 0.013115 (0.013141) Loss: 0.84871 (0.91057) +2025-08-21,14:52:33 | INFO | Train Epoch: 2 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.87887 (0.89734) Boundary_loss: 0.013059 (0.013141) Loss: 0.89193 (0.91049) +2025-08-21,14:53:38 | INFO | Train Epoch: 2 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.80452 (0.89690) Boundary_loss: 0.013071 (0.013141) Loss: 0.81759 (0.91004) +2025-08-21,14:54:43 | INFO | Train Epoch: 2 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.86304 (0.89674) Boundary_loss: 0.013158 (0.013141) Loss: 0.87620 (0.90989) +2025-08-21,14:55:49 | INFO | Train Epoch: 2 [10854912/26365952 (41%)] Avg Boundaries (per batch): 18.791 Boundary Ratio: 0.096 Contrastive_loss: 0.81447 (0.89636) Boundary_loss: 0.013256 (0.013141) Loss: 0.82773 (0.90950) +2025-08-21,14:56:54 | INFO | Train Epoch: 2 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.91719 (0.89646) Boundary_loss: 0.013135 (0.013141) Loss: 0.93032 (0.90960) +2025-08-21,14:57:59 | INFO | Train Epoch: 2 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.69630 (0.89552) Boundary_loss: 0.013092 (0.013141) Loss: 0.70939 (0.90867) +2025-08-21,14:59:04 | INFO | Train Epoch: 2 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.80454 (0.89510) Boundary_loss: 0.013051 (0.013141) Loss: 0.81759 (0.90824) +2025-08-21,15:00:09 | INFO | Train Epoch: 2 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.88408 (0.89505) Boundary_loss: 0.012977 (0.013140) Loss: 0.89705 (0.90819) +2025-08-21,15:01:15 | INFO | Train Epoch: 2 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.90680 (0.89511) Boundary_loss: 0.013270 (0.013141) Loss: 0.92007 (0.90825) +2025-08-21,15:02:20 | INFO | Train Epoch: 2 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.85948 (0.89494) Boundary_loss: 0.013104 (0.013140) Loss: 0.87258 (0.90808) +2025-08-21,15:03:25 | INFO | Train Epoch: 2 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.92257 (0.89507) Boundary_loss: 0.013101 (0.013140) Loss: 0.93567 (0.90821) +2025-08-21,15:04:30 | INFO | Train Epoch: 2 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.93530 (0.89525) Boundary_loss: 0.013076 (0.013140) Loss: 0.94837 (0.90839) +2025-08-21,15:05:36 | INFO | Train Epoch: 2 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.86693 (0.89512) Boundary_loss: 0.013070 (0.013140) Loss: 0.88000 (0.90826) +2025-08-21,15:06:41 | INFO | Train Epoch: 2 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.88035 (0.89506) Boundary_loss: 0.013011 (0.013139) Loss: 0.89336 (0.90820) +2025-08-21,15:07:46 | INFO | Train Epoch: 2 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.78047 (0.89455) Boundary_loss: 0.013032 (0.013139) Loss: 0.79351 (0.90768) +2025-08-21,15:08:51 | INFO | Train Epoch: 2 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.570 Boundary Ratio: 0.100 Contrastive_loss: 1.0154 (0.89508) Boundary_loss: 0.013278 (0.013139) Loss: 1.0287 (0.90822) +2025-08-21,15:09:57 | INFO | Train Epoch: 2 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.79543 (0.89464) Boundary_loss: 0.013243 (0.013140) Loss: 0.80867 (0.90778) +2025-08-21,15:11:02 | INFO | Train Epoch: 2 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.90455 (0.89469) Boundary_loss: 0.013036 (0.013139) Loss: 0.91759 (0.90782) +2025-08-21,15:12:07 | INFO | Train Epoch: 2 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.72293 (0.89393) Boundary_loss: 0.013127 (0.013139) Loss: 0.73606 (0.90707) +2025-08-21,15:13:12 | INFO | Train Epoch: 2 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 1.0341 (0.89454) Boundary_loss: 0.013139 (0.013139) Loss: 1.0473 (0.90768) +2025-08-21,15:14:18 | INFO | Train Epoch: 2 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.73344 (0.89384) Boundary_loss: 0.013141 (0.013139) Loss: 0.74658 (0.90698) +2025-08-21,15:15:23 | INFO | Train Epoch: 2 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.76302 (0.89328) Boundary_loss: 0.013143 (0.013139) Loss: 0.77616 (0.90642) +2025-08-21,15:16:28 | INFO | Train Epoch: 2 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.86010 (0.89313) Boundary_loss: 0.013326 (0.013140) Loss: 0.87342 (0.90627) +2025-08-21,15:17:33 | INFO | Train Epoch: 2 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.82204 (0.89283) Boundary_loss: 0.013146 (0.013140) Loss: 0.83518 (0.90597) +2025-08-21,15:18:38 | INFO | Train Epoch: 2 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.83672 (0.89259) Boundary_loss: 0.013095 (0.013140) Loss: 0.84981 (0.90573) +2025-08-21,15:19:44 | INFO | Train Epoch: 2 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.72236 (0.89187) Boundary_loss: 0.013147 (0.013140) Loss: 0.73550 (0.90501) +2025-08-21,15:20:49 | INFO | Train Epoch: 2 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.78424 (0.89141) Boundary_loss: 0.013294 (0.013140) Loss: 0.79753 (0.90455) +2025-08-21,15:21:54 | INFO | Train Epoch: 2 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.85040 (0.89124) Boundary_loss: 0.013116 (0.013140) Loss: 0.86352 (0.90438) +2025-08-21,15:22:59 | INFO | Train Epoch: 2 [12134912/26365952 (46%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 0.80451 (0.89087) Boundary_loss: 0.013044 (0.013140) Loss: 0.81756 (0.90401) +2025-08-21,15:24:05 | INFO | Train Epoch: 2 [12186112/26365952 (46%)] Avg Boundaries (per batch): 18.865 Boundary Ratio: 0.096 Contrastive_loss: 0.79686 (0.89048) Boundary_loss: 0.013083 (0.013140) Loss: 0.80994 (0.90362) +2025-08-21,15:25:10 | INFO | Train Epoch: 2 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.90183 (0.89053) Boundary_loss: 0.013011 (0.013139) Loss: 0.91484 (0.90367) +2025-08-21,15:26:15 | INFO | Train Epoch: 2 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.87700 (0.89047) Boundary_loss: 0.013172 (0.013139) Loss: 0.89018 (0.90361) +2025-08-21,15:27:20 | INFO | Train Epoch: 2 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.72656 (0.88979) Boundary_loss: 0.013143 (0.013139) Loss: 0.73971 (0.90293) +2025-08-21,15:28:25 | INFO | Train Epoch: 2 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.94726 (0.89003) Boundary_loss: 0.013200 (0.013140) Loss: 0.96046 (0.90317) +2025-08-21,15:29:31 | INFO | Train Epoch: 2 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.83484 (0.88980) Boundary_loss: 0.013048 (0.013139) Loss: 0.84789 (0.90294) +2025-08-21,15:30:36 | INFO | Train Epoch: 2 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.84012 (0.88960) Boundary_loss: 0.013142 (0.013139) Loss: 0.85326 (0.90274) +2025-08-21,15:31:41 | INFO | Train Epoch: 2 [12544512/26365952 (48%)] Avg Boundaries (per batch): 18.795 Boundary Ratio: 0.096 Contrastive_loss: 0.81519 (0.88930) Boundary_loss: 0.013251 (0.013140) Loss: 0.82844 (0.90244) +2025-08-21,15:32:46 | INFO | Train Epoch: 2 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.86510 (0.88920) Boundary_loss: 0.013120 (0.013140) Loss: 0.87822 (0.90234) +2025-08-21,15:33:51 | INFO | Train Epoch: 2 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.81848 (0.88891) Boundary_loss: 0.013006 (0.013139) Loss: 0.83149 (0.90205) +2025-08-21,15:34:57 | INFO | Train Epoch: 2 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.87303 (0.88885) Boundary_loss: 0.013127 (0.013139) Loss: 0.88616 (0.90199) +2025-08-21,15:36:02 | INFO | Train Epoch: 2 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.666 Boundary Ratio: 0.100 Contrastive_loss: 0.84853 (0.88869) Boundary_loss: 0.013079 (0.013139) Loss: 0.86161 (0.90183) +2025-08-21,15:37:07 | INFO | Train Epoch: 2 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.998 Boundary Ratio: 0.102 Contrastive_loss: 0.76078 (0.88818) Boundary_loss: 0.013227 (0.013139) Loss: 0.77401 (0.90132) +2025-08-21,15:38:12 | INFO | Train Epoch: 2 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.84653 (0.88801) Boundary_loss: 0.013195 (0.013139) Loss: 0.85973 (0.90115) +2025-08-21,15:39:18 | INFO | Train Epoch: 2 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.79888 (0.88766) Boundary_loss: 0.013142 (0.013139) Loss: 0.81202 (0.90080) +2025-08-21,15:40:23 | INFO | Train Epoch: 2 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 0.82452 (0.88741) Boundary_loss: 0.013161 (0.013139) Loss: 0.83768 (0.90055) +2025-08-21,15:41:28 | INFO | Train Epoch: 2 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 1.0580 (0.88808) Boundary_loss: 0.013160 (0.013139) Loss: 1.0711 (0.90122) +2025-08-21,15:42:33 | INFO | Train Epoch: 2 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.90918 (0.88816) Boundary_loss: 0.013210 (0.013140) Loss: 0.92239 (0.90130) +2025-08-21,15:43:39 | INFO | Train Epoch: 2 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.668 Boundary Ratio: 0.100 Contrastive_loss: 0.80448 (0.88784) Boundary_loss: 0.013213 (0.013140) Loss: 0.81769 (0.90098) +2025-08-21,15:44:44 | INFO | Train Epoch: 2 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.84029 (0.88766) Boundary_loss: 0.013199 (0.013140) Loss: 0.85349 (0.90080) +2025-08-21,15:45:49 | INFO | Train Epoch: 2 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.79220 (0.88729) Boundary_loss: 0.013090 (0.013140) Loss: 0.80529 (0.90043) +2025-08-21,15:46:54 | INFO | Train Epoch: 2 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.94420 (0.88751) Boundary_loss: 0.013174 (0.013140) Loss: 0.95737 (0.90065) +2025-08-21,15:48:00 | INFO | Train Epoch: 2 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.648 Boundary Ratio: 0.100 Contrastive_loss: 0.72761 (0.88689) Boundary_loss: 0.013088 (0.013140) Loss: 0.74070 (0.90003) +2025-08-21,15:49:05 | INFO | Train Epoch: 2 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.674 Boundary Ratio: 0.100 Contrastive_loss: 0.84682 (0.88674) Boundary_loss: 0.013107 (0.013140) Loss: 0.85993 (0.89988) +2025-08-21,15:50:10 | INFO | Train Epoch: 2 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.93156 (0.88691) Boundary_loss: 0.013064 (0.013140) Loss: 0.94462 (0.90005) +2025-08-21,15:51:15 | INFO | Train Epoch: 2 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.707 Boundary Ratio: 0.101 Contrastive_loss: 0.78035 (0.88651) Boundary_loss: 0.013159 (0.013140) Loss: 0.79351 (0.89965) +2025-08-21,15:52:21 | INFO | Train Epoch: 2 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.78531 (0.88612) Boundary_loss: 0.013152 (0.013140) Loss: 0.79846 (0.89926) +2025-08-21,15:53:26 | INFO | Train Epoch: 2 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 0.76971 (0.88569) Boundary_loss: 0.013225 (0.013140) Loss: 0.78293 (0.89883) +2025-08-21,15:54:31 | INFO | Train Epoch: 2 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.79483 (0.88535) Boundary_loss: 0.013053 (0.013140) Loss: 0.80788 (0.89849) +2025-08-21,15:55:36 | INFO | Train Epoch: 2 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.69162 (0.88462) Boundary_loss: 0.012919 (0.013139) Loss: 0.70454 (0.89776) +2025-08-21,15:56:42 | INFO | Train Epoch: 2 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 0.94825 (0.88486) Boundary_loss: 0.013280 (0.013139) Loss: 0.96153 (0.89800) +2025-08-21,15:57:47 | INFO | Train Epoch: 2 [13773312/26365952 (52%)] Avg Boundaries (per batch): 18.891 Boundary Ratio: 0.096 Contrastive_loss: 0.80931 (0.88458) Boundary_loss: 0.013126 (0.013139) Loss: 0.82243 (0.89772) +2025-08-21,15:58:52 | INFO | Train Epoch: 2 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.87851 (0.88456) Boundary_loss: 0.013188 (0.013140) Loss: 0.89169 (0.89770) +2025-08-21,15:59:57 | INFO | Train Epoch: 2 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 0.74366 (0.88404) Boundary_loss: 0.013194 (0.013140) Loss: 0.75686 (0.89718) +2025-08-21,16:01:03 | INFO | Train Epoch: 2 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.78231 (0.88367) Boundary_loss: 0.012977 (0.013139) Loss: 0.79529 (0.89681) +2025-08-21,16:02:08 | INFO | Train Epoch: 2 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.86622 (0.88360) Boundary_loss: 0.013263 (0.013140) Loss: 0.87948 (0.89674) +2025-08-21,16:03:13 | INFO | Train Epoch: 2 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.95243 (0.88385) Boundary_loss: 0.013208 (0.013140) Loss: 0.96564 (0.89699) +2025-08-21,16:04:18 | INFO | Train Epoch: 2 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.71251 (0.88323) Boundary_loss: 0.012991 (0.013139) Loss: 0.72550 (0.89637) +2025-08-21,16:05:24 | INFO | Train Epoch: 2 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.82431 (0.88302) Boundary_loss: 0.013183 (0.013139) Loss: 0.83749 (0.89616) +2025-08-21,16:06:29 | INFO | Train Epoch: 2 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.85556 (0.88292) Boundary_loss: 0.013083 (0.013139) Loss: 0.86865 (0.89606) +2025-08-21,16:07:34 | INFO | Train Epoch: 2 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.592 Boundary Ratio: 0.100 Contrastive_loss: 0.81397 (0.88267) Boundary_loss: 0.013153 (0.013139) Loss: 0.82712 (0.89581) +2025-08-21,16:08:39 | INFO | Train Epoch: 2 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.76343 (0.88225) Boundary_loss: 0.013179 (0.013139) Loss: 0.77661 (0.89539) +2025-08-21,16:09:45 | INFO | Train Epoch: 2 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.70215 (0.88161) Boundary_loss: 0.013132 (0.013139) Loss: 0.71528 (0.89475) +2025-08-21,16:10:50 | INFO | Train Epoch: 2 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.68460 (0.88091) Boundary_loss: 0.013032 (0.013139) Loss: 0.69763 (0.89405) +2025-08-21,16:11:55 | INFO | Train Epoch: 2 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.87676 (0.88089) Boundary_loss: 0.013035 (0.013139) Loss: 0.88980 (0.89403) +2025-08-21,16:13:00 | INFO | Train Epoch: 2 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.023 Boundary Ratio: 0.097 Contrastive_loss: 0.90987 (0.88100) Boundary_loss: 0.013125 (0.013139) Loss: 0.92299 (0.89414) +2025-08-21,16:14:06 | INFO | Train Epoch: 2 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.79997 (0.88071) Boundary_loss: 0.013262 (0.013139) Loss: 0.81323 (0.89385) +2025-08-21,16:15:11 | INFO | Train Epoch: 2 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.588 Boundary Ratio: 0.100 Contrastive_loss: 0.77743 (0.88035) Boundary_loss: 0.013118 (0.013139) Loss: 0.79054 (0.89349) +2025-08-21,16:16:16 | INFO | Train Epoch: 2 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.81839 (0.88014) Boundary_loss: 0.013083 (0.013139) Loss: 0.83148 (0.89327) +2025-08-21,16:17:21 | INFO | Train Epoch: 2 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.76014 (0.87972) Boundary_loss: 0.013102 (0.013139) Loss: 0.77325 (0.89286) +2025-08-21,16:18:26 | INFO | Train Epoch: 2 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.81810 (0.87951) Boundary_loss: 0.013201 (0.013139) Loss: 0.83131 (0.89264) +2025-08-21,16:19:32 | INFO | Train Epoch: 2 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.84034 (0.87937) Boundary_loss: 0.013172 (0.013139) Loss: 0.85351 (0.89251) +2025-08-21,16:20:37 | INFO | Train Epoch: 2 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.635 Boundary Ratio: 0.100 Contrastive_loss: 0.82126 (0.87917) Boundary_loss: 0.013152 (0.013139) Loss: 0.83441 (0.89231) +2025-08-21,16:21:42 | INFO | Train Epoch: 2 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.73846 (0.87869) Boundary_loss: 0.013105 (0.013139) Loss: 0.75156 (0.89183) +2025-08-21,16:22:47 | INFO | Train Epoch: 2 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.66531 (0.87796) Boundary_loss: 0.013222 (0.013139) Loss: 0.67854 (0.89110) +2025-08-21,16:23:53 | INFO | Train Epoch: 2 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.81377 (0.87774) Boundary_loss: 0.013036 (0.013139) Loss: 0.82681 (0.89088) +2025-08-21,16:24:58 | INFO | Train Epoch: 2 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.75497 (0.87733) Boundary_loss: 0.013114 (0.013139) Loss: 0.76809 (0.89046) +2025-08-21,16:26:03 | INFO | Train Epoch: 2 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.81693 (0.87712) Boundary_loss: 0.013016 (0.013138) Loss: 0.82995 (0.89026) +2025-08-21,16:27:08 | INFO | Train Epoch: 2 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.81913 (0.87693) Boundary_loss: 0.013216 (0.013139) Loss: 0.83235 (0.89007) +2025-08-21,16:28:13 | INFO | Train Epoch: 2 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.81833 (0.87673) Boundary_loss: 0.013026 (0.013138) Loss: 0.83135 (0.88987) +2025-08-21,16:29:19 | INFO | Train Epoch: 2 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.76758 (0.87637) Boundary_loss: 0.013198 (0.013138) Loss: 0.78078 (0.88950) +2025-08-21,16:30:24 | INFO | Train Epoch: 2 [15309312/26365952 (58%)] Avg Boundaries (per batch): 18.834 Boundary Ratio: 0.096 Contrastive_loss: 0.82191 (0.87618) Boundary_loss: 0.013116 (0.013138) Loss: 0.83502 (0.88932) +2025-08-21,16:31:29 | INFO | Train Epoch: 2 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.77340 (0.87584) Boundary_loss: 0.013099 (0.013138) Loss: 0.78650 (0.88898) +2025-08-21,16:32:34 | INFO | Train Epoch: 2 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.74813 (0.87542) Boundary_loss: 0.013226 (0.013139) Loss: 0.76136 (0.88856) +2025-08-21,16:33:40 | INFO | Train Epoch: 2 [15462912/26365952 (59%)] Avg Boundaries (per batch): 18.650 Boundary Ratio: 0.095 Contrastive_loss: 0.81422 (0.87522) Boundary_loss: 0.013263 (0.013139) Loss: 0.82749 (0.88836) +2025-08-21,16:34:45 | INFO | Train Epoch: 2 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.973 Boundary Ratio: 0.102 Contrastive_loss: 0.80597 (0.87499) Boundary_loss: 0.013089 (0.013139) Loss: 0.81906 (0.88813) +2025-08-21,16:35:50 | INFO | Train Epoch: 2 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.83227 (0.87485) Boundary_loss: 0.013078 (0.013139) Loss: 0.84535 (0.88799) +2025-08-21,16:36:55 | INFO | Train Epoch: 2 [15616512/26365952 (59%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 0.80553 (0.87462) Boundary_loss: 0.013132 (0.013139) Loss: 0.81867 (0.88776) +2025-08-21,16:38:01 | INFO | Train Epoch: 2 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.84726 (0.87453) Boundary_loss: 0.013197 (0.013139) Loss: 0.86046 (0.88767) +2025-08-21,16:39:06 | INFO | Train Epoch: 2 [15718912/26365952 (60%)] Avg Boundaries (per batch): 18.920 Boundary Ratio: 0.097 Contrastive_loss: 0.84352 (0.87443) Boundary_loss: 0.013202 (0.013139) Loss: 0.85673 (0.88757) +2025-08-21,16:40:11 | INFO | Train Epoch: 2 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.68559 (0.87382) Boundary_loss: 0.013127 (0.013139) Loss: 0.69872 (0.88696) +2025-08-21,16:41:17 | INFO | Train Epoch: 2 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.79612 (0.87357) Boundary_loss: 0.013081 (0.013139) Loss: 0.80920 (0.88671) +2025-08-21,16:42:22 | INFO | Train Epoch: 2 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.91532 (0.87371) Boundary_loss: 0.013050 (0.013138) Loss: 0.92837 (0.88684) +2025-08-21,16:43:27 | INFO | Train Epoch: 2 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 0.76550 (0.87336) Boundary_loss: 0.013249 (0.013139) Loss: 0.77875 (0.88650) +2025-08-21,16:44:32 | INFO | Train Epoch: 2 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.74416 (0.87295) Boundary_loss: 0.013011 (0.013138) Loss: 0.75717 (0.88608) +2025-08-21,16:45:38 | INFO | Train Epoch: 2 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.86809 (0.87293) Boundary_loss: 0.013020 (0.013138) Loss: 0.88111 (0.88607) +2025-08-21,16:46:43 | INFO | Train Epoch: 2 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.627 Boundary Ratio: 0.100 Contrastive_loss: 0.69263 (0.87236) Boundary_loss: 0.013102 (0.013138) Loss: 0.70573 (0.88550) +2025-08-21,16:47:48 | INFO | Train Epoch: 2 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.78213 (0.87207) Boundary_loss: 0.013206 (0.013138) Loss: 0.79534 (0.88521) +2025-08-21,16:48:54 | INFO | Train Epoch: 2 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.82459 (0.87192) Boundary_loss: 0.013175 (0.013138) Loss: 0.83776 (0.88506) +2025-08-21,16:49:59 | INFO | Train Epoch: 2 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.95151 (0.87217) Boundary_loss: 0.013186 (0.013138) Loss: 0.96469 (0.88531) +2025-08-21,16:51:04 | INFO | Train Epoch: 2 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.793 Boundary Ratio: 0.101 Contrastive_loss: 0.95309 (0.87243) Boundary_loss: 0.013155 (0.013138) Loss: 0.96624 (0.88557) +2025-08-21,16:52:09 | INFO | Train Epoch: 2 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.92851 (0.87260) Boundary_loss: 0.013097 (0.013138) Loss: 0.94160 (0.88574) +2025-08-21,16:53:15 | INFO | Train Epoch: 2 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.76237 (0.87226) Boundary_loss: 0.013348 (0.013139) Loss: 0.77572 (0.88540) +2025-08-21,16:54:20 | INFO | Train Epoch: 2 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.72632 (0.87181) Boundary_loss: 0.013132 (0.013139) Loss: 0.73945 (0.88494) +2025-08-21,16:55:25 | INFO | Train Epoch: 2 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.89031 (0.87186) Boundary_loss: 0.013140 (0.013139) Loss: 0.90345 (0.88500) +2025-08-21,16:56:30 | INFO | Train Epoch: 2 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.69603 (0.87132) Boundary_loss: 0.013142 (0.013139) Loss: 0.70917 (0.88446) +2025-08-21,16:57:36 | INFO | Train Epoch: 2 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.88354 (0.87136) Boundary_loss: 0.013016 (0.013139) Loss: 0.89656 (0.88450) +2025-08-21,16:58:41 | INFO | Train Epoch: 2 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.68166 (0.87078) Boundary_loss: 0.013139 (0.013139) Loss: 0.69479 (0.88391) +2025-08-21,16:59:46 | INFO | Train Epoch: 2 [16691712/26365952 (63%)] Avg Boundaries (per batch): 18.967 Boundary Ratio: 0.097 Contrastive_loss: 0.81805 (0.87061) Boundary_loss: 0.013127 (0.013139) Loss: 0.83117 (0.88375) +2025-08-21,17:00:51 | INFO | Train Epoch: 2 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.91568 (0.87075) Boundary_loss: 0.013106 (0.013138) Loss: 0.92879 (0.88389) +2025-08-21,17:01:57 | INFO | Train Epoch: 2 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.87429 (0.87076) Boundary_loss: 0.013063 (0.013138) Loss: 0.88736 (0.88390) +2025-08-21,17:03:02 | INFO | Train Epoch: 2 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.85942 (0.87073) Boundary_loss: 0.013153 (0.013138) Loss: 0.87257 (0.88387) +2025-08-21,17:04:07 | INFO | Train Epoch: 2 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 0.80461 (0.87053) Boundary_loss: 0.013135 (0.013138) Loss: 0.81774 (0.88367) +2025-08-21,17:05:12 | INFO | Train Epoch: 2 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.88747 (0.87058) Boundary_loss: 0.013177 (0.013138) Loss: 0.90065 (0.88372) +2025-08-21,17:06:18 | INFO | Train Epoch: 2 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.71091 (0.87010) Boundary_loss: 0.013256 (0.013139) Loss: 0.72416 (0.88324) +2025-08-21,17:07:23 | INFO | Train Epoch: 2 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.74116 (0.86971) Boundary_loss: 0.013051 (0.013138) Loss: 0.75421 (0.88285) +2025-08-21,17:08:28 | INFO | Train Epoch: 2 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.86160 (0.86969) Boundary_loss: 0.013066 (0.013138) Loss: 0.87467 (0.88283) +2025-08-21,17:09:34 | INFO | Train Epoch: 2 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.77120 (0.86940) Boundary_loss: 0.013136 (0.013138) Loss: 0.78433 (0.88253) +2025-08-21,17:10:39 | INFO | Train Epoch: 2 [17203712/26365952 (65%)] Avg Boundaries (per batch): 20.213 Boundary Ratio: 0.103 Contrastive_loss: 0.72790 (0.86898) Boundary_loss: 0.013256 (0.013139) Loss: 0.74116 (0.88212) +2025-08-21,17:11:44 | INFO | Train Epoch: 2 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.87229 (0.86899) Boundary_loss: 0.013121 (0.013139) Loss: 0.88541 (0.88213) +2025-08-21,17:12:49 | INFO | Train Epoch: 2 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.78110 (0.86873) Boundary_loss: 0.013064 (0.013138) Loss: 0.79416 (0.88187) +2025-08-21,17:13:55 | INFO | Train Epoch: 2 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.75879 (0.86840) Boundary_loss: 0.013088 (0.013138) Loss: 0.77188 (0.88154) +2025-08-21,17:15:00 | INFO | Train Epoch: 2 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.82939 (0.86829) Boundary_loss: 0.013017 (0.013138) Loss: 0.84241 (0.88143) +2025-08-21,17:16:05 | INFO | Train Epoch: 2 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.80462 (0.86810) Boundary_loss: 0.013046 (0.013138) Loss: 0.81767 (0.88124) +2025-08-21,17:17:11 | INFO | Train Epoch: 2 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.86081 (0.86808) Boundary_loss: 0.013087 (0.013137) Loss: 0.87389 (0.88122) +2025-08-21,17:18:16 | INFO | Train Epoch: 2 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.76353 (0.86778) Boundary_loss: 0.013090 (0.013137) Loss: 0.77662 (0.88092) +2025-08-21,17:19:21 | INFO | Train Epoch: 2 [17613312/26365952 (67%)] Avg Boundaries (per batch): 18.887 Boundary Ratio: 0.096 Contrastive_loss: 0.71393 (0.86733) Boundary_loss: 0.013246 (0.013138) Loss: 0.72718 (0.88047) +2025-08-21,17:20:27 | INFO | Train Epoch: 2 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.88721 (0.86739) Boundary_loss: 0.013211 (0.013138) Loss: 0.90042 (0.88053) +2025-08-21,17:21:32 | INFO | Train Epoch: 2 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.82490 (0.86727) Boundary_loss: 0.013061 (0.013138) Loss: 0.83797 (0.88040) +2025-08-21,17:22:37 | INFO | Train Epoch: 2 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.82448 (0.86714) Boundary_loss: 0.013174 (0.013138) Loss: 0.83765 (0.88028) +2025-08-21,17:23:43 | INFO | Train Epoch: 2 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.89311 (0.86722) Boundary_loss: 0.013137 (0.013138) Loss: 0.90625 (0.88036) +2025-08-21,17:24:48 | INFO | Train Epoch: 2 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.79803 (0.86702) Boundary_loss: 0.013150 (0.013138) Loss: 0.81118 (0.88016) +2025-08-21,17:25:53 | INFO | Train Epoch: 2 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.70261 (0.86655) Boundary_loss: 0.013127 (0.013138) Loss: 0.71574 (0.87969) +2025-08-21,17:26:59 | INFO | Train Epoch: 2 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.83860 (0.86647) Boundary_loss: 0.013114 (0.013138) Loss: 0.85172 (0.87961) +2025-08-21,17:28:04 | INFO | Train Epoch: 2 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.72965 (0.86609) Boundary_loss: 0.013132 (0.013138) Loss: 0.74278 (0.87922) +2025-08-21,17:29:09 | INFO | Train Epoch: 2 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.74134 (0.86573) Boundary_loss: 0.013248 (0.013138) Loss: 0.75459 (0.87887) +2025-08-21,17:30:15 | INFO | Train Epoch: 2 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.70592 (0.86528) Boundary_loss: 0.013006 (0.013138) Loss: 0.71893 (0.87842) +2025-08-21,17:31:20 | INFO | Train Epoch: 2 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.81202 (0.86513) Boundary_loss: 0.013086 (0.013137) Loss: 0.82510 (0.87827) +2025-08-21,17:32:25 | INFO | Train Epoch: 2 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.64988 (0.86453) Boundary_loss: 0.013120 (0.013137) Loss: 0.66300 (0.87767) +2025-08-21,17:33:31 | INFO | Train Epoch: 2 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.75569 (0.86423) Boundary_loss: 0.013069 (0.013137) Loss: 0.76876 (0.87736) +2025-08-21,17:34:36 | INFO | Train Epoch: 2 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.78944 (0.86402) Boundary_loss: 0.013046 (0.013137) Loss: 0.80249 (0.87715) +2025-08-21,17:35:42 | INFO | Train Epoch: 2 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.81168 (0.86387) Boundary_loss: 0.013051 (0.013137) Loss: 0.82473 (0.87701) +2025-08-21,17:36:47 | INFO | Train Epoch: 2 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.734 Boundary Ratio: 0.101 Contrastive_loss: 0.81648 (0.86374) Boundary_loss: 0.013131 (0.013137) Loss: 0.82961 (0.87688) +2025-08-21,17:37:52 | INFO | Train Epoch: 2 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.81222 (0.86360) Boundary_loss: 0.013070 (0.013136) Loss: 0.82529 (0.87674) +2025-08-21,17:38:58 | INFO | Train Epoch: 2 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.75476 (0.86330) Boundary_loss: 0.013191 (0.013137) Loss: 0.76795 (0.87644) +2025-08-21,17:40:03 | INFO | Train Epoch: 2 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.71334 (0.86289) Boundary_loss: 0.013148 (0.013137) Loss: 0.72649 (0.87602) +2025-08-21,17:41:08 | INFO | Train Epoch: 2 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.78593 (0.86268) Boundary_loss: 0.013279 (0.013137) Loss: 0.79921 (0.87581) +2025-08-21,17:42:14 | INFO | Train Epoch: 2 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.62186 (0.86202) Boundary_loss: 0.013115 (0.013137) Loss: 0.63497 (0.87516) +2025-08-21,17:43:19 | INFO | Train Epoch: 2 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.81368 (0.86189) Boundary_loss: 0.013136 (0.013137) Loss: 0.82682 (0.87502) +2025-08-21,17:44:24 | INFO | Train Epoch: 2 [18790912/26365952 (71%)] Avg Boundaries (per batch): 18.924 Boundary Ratio: 0.097 Contrastive_loss: 0.77780 (0.86166) Boundary_loss: 0.013087 (0.013137) Loss: 0.79089 (0.87480) +2025-08-21,17:45:30 | INFO | Train Epoch: 2 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.82080 (0.86155) Boundary_loss: 0.013034 (0.013137) Loss: 0.83383 (0.87468) +2025-08-21,17:46:35 | INFO | Train Epoch: 2 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.83444 (0.86147) Boundary_loss: 0.013149 (0.013137) Loss: 0.84759 (0.87461) +2025-08-21,17:47:40 | INFO | Train Epoch: 2 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.66228 (0.86094) Boundary_loss: 0.013052 (0.013136) Loss: 0.67533 (0.87407) +2025-08-21,17:48:46 | INFO | Train Epoch: 2 [18995712/26365952 (72%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 0.62975 (0.86032) Boundary_loss: 0.013077 (0.013136) Loss: 0.64283 (0.87345) +2025-08-21,17:49:51 | INFO | Train Epoch: 2 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.87018 (0.86034) Boundary_loss: 0.013010 (0.013136) Loss: 0.88319 (0.87348) +2025-08-21,17:50:56 | INFO | Train Epoch: 2 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.76891 (0.86010) Boundary_loss: 0.013161 (0.013136) Loss: 0.78207 (0.87323) +2025-08-21,17:52:02 | INFO | Train Epoch: 2 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.63879 (0.85951) Boundary_loss: 0.013068 (0.013136) Loss: 0.65186 (0.87264) +2025-08-21,17:53:07 | INFO | Train Epoch: 2 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.80215 (0.85936) Boundary_loss: 0.013024 (0.013135) Loss: 0.81517 (0.87249) +2025-08-21,17:54:12 | INFO | Train Epoch: 2 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.73884 (0.85904) Boundary_loss: 0.013068 (0.013135) Loss: 0.75191 (0.87217) +2025-08-21,17:55:18 | INFO | Train Epoch: 2 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.82980 (0.85896) Boundary_loss: 0.013117 (0.013135) Loss: 0.84292 (0.87209) +2025-08-21,17:56:23 | INFO | Train Epoch: 2 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.83110 (0.85888) Boundary_loss: 0.013105 (0.013135) Loss: 0.84421 (0.87202) +2025-08-21,17:57:28 | INFO | Train Epoch: 2 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.82881 (0.85881) Boundary_loss: 0.013139 (0.013135) Loss: 0.84195 (0.87194) +2025-08-21,17:58:34 | INFO | Train Epoch: 2 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.81035 (0.85868) Boundary_loss: 0.013255 (0.013135) Loss: 0.82360 (0.87181) +2025-08-21,17:59:39 | INFO | Train Epoch: 2 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.79080 (0.85850) Boundary_loss: 0.013113 (0.013135) Loss: 0.80391 (0.87164) +2025-08-21,18:00:44 | INFO | Train Epoch: 2 [19558912/26365952 (74%)] Avg Boundaries (per batch): 18.896 Boundary Ratio: 0.096 Contrastive_loss: 0.77829 (0.85829) Boundary_loss: 0.013098 (0.013135) Loss: 0.79138 (0.87143) +2025-08-21,18:01:50 | INFO | Train Epoch: 2 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.82018 (0.85819) Boundary_loss: 0.013054 (0.013135) Loss: 0.83323 (0.87133) +2025-08-21,18:02:55 | INFO | Train Epoch: 2 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.83283 (0.85813) Boundary_loss: 0.013115 (0.013135) Loss: 0.84594 (0.87126) +2025-08-21,18:04:00 | INFO | Train Epoch: 2 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.78898 (0.85795) Boundary_loss: 0.013165 (0.013135) Loss: 0.80215 (0.87108) +2025-08-21,18:05:06 | INFO | Train Epoch: 2 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 0.73854 (0.85764) Boundary_loss: 0.013110 (0.013135) Loss: 0.75165 (0.87077) +2025-08-21,18:06:11 | INFO | Train Epoch: 2 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.79387 (0.85747) Boundary_loss: 0.013051 (0.013135) Loss: 0.80692 (0.87061) +2025-08-21,18:07:16 | INFO | Train Epoch: 2 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.81420 (0.85736) Boundary_loss: 0.013002 (0.013134) Loss: 0.82720 (0.87050) +2025-08-21,18:08:22 | INFO | Train Epoch: 2 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.72826 (0.85703) Boundary_loss: 0.012980 (0.013134) Loss: 0.74124 (0.87017) +2025-08-21,18:09:27 | INFO | Train Epoch: 2 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.78798 (0.85686) Boundary_loss: 0.013040 (0.013134) Loss: 0.80102 (0.86999) +2025-08-21,18:10:32 | INFO | Train Epoch: 2 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.90103 (0.85697) Boundary_loss: 0.013119 (0.013134) Loss: 0.91414 (0.87010) +2025-08-21,18:11:38 | INFO | Train Epoch: 2 [20070912/26365952 (76%)] Avg Boundaries (per batch): 18.902 Boundary Ratio: 0.096 Contrastive_loss: 0.77637 (0.85676) Boundary_loss: 0.013070 (0.013134) Loss: 0.78944 (0.86990) +2025-08-21,18:12:43 | INFO | Train Epoch: 2 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.74936 (0.85649) Boundary_loss: 0.013160 (0.013134) Loss: 0.76252 (0.86962) +2025-08-21,18:13:48 | INFO | Train Epoch: 2 [20173312/26365952 (77%)] Avg Boundaries (per batch): 18.977 Boundary Ratio: 0.097 Contrastive_loss: 0.85164 (0.85648) Boundary_loss: 0.013089 (0.013134) Loss: 0.86473 (0.86961) +2025-08-21,18:14:54 | INFO | Train Epoch: 2 [20224512/26365952 (77%)] Avg Boundaries (per batch): 18.900 Boundary Ratio: 0.096 Contrastive_loss: 0.81699 (0.85638) Boundary_loss: 0.013156 (0.013134) Loss: 0.83015 (0.86951) +2025-08-21,18:15:59 | INFO | Train Epoch: 2 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.89379 (0.85647) Boundary_loss: 0.013113 (0.013134) Loss: 0.90691 (0.86961) +2025-08-21,18:17:04 | INFO | Train Epoch: 2 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.777 Boundary Ratio: 0.101 Contrastive_loss: 0.81820 (0.85638) Boundary_loss: 0.013100 (0.013134) Loss: 0.83130 (0.86951) +2025-08-21,18:18:10 | INFO | Train Epoch: 2 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.78301 (0.85619) Boundary_loss: 0.013197 (0.013134) Loss: 0.79621 (0.86933) +2025-08-21,18:19:15 | INFO | Train Epoch: 2 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.73100 (0.85588) Boundary_loss: 0.013192 (0.013134) Loss: 0.74419 (0.86901) +2025-08-21,18:20:20 | INFO | Train Epoch: 2 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.79731 (0.85573) Boundary_loss: 0.013146 (0.013134) Loss: 0.81046 (0.86887) +2025-08-21,18:21:26 | INFO | Train Epoch: 2 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.82887 (0.85567) Boundary_loss: 0.013173 (0.013134) Loss: 0.84204 (0.86880) +2025-08-21,18:22:31 | INFO | Train Epoch: 2 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.72365 (0.85534) Boundary_loss: 0.013034 (0.013134) Loss: 0.73668 (0.86847) +2025-08-21,18:23:36 | INFO | Train Epoch: 2 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.86921 (0.85537) Boundary_loss: 0.013122 (0.013134) Loss: 0.88233 (0.86851) +2025-08-21,18:24:42 | INFO | Train Epoch: 2 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.72317 (0.85505) Boundary_loss: 0.013021 (0.013133) Loss: 0.73619 (0.86818) +2025-08-21,18:25:47 | INFO | Train Epoch: 2 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.72793 (0.85473) Boundary_loss: 0.013033 (0.013133) Loss: 0.74096 (0.86787) +2025-08-21,18:26:52 | INFO | Train Epoch: 2 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.551 Boundary Ratio: 0.100 Contrastive_loss: 0.74786 (0.85447) Boundary_loss: 0.013119 (0.013133) Loss: 0.76098 (0.86760) +2025-08-21,18:27:58 | INFO | Train Epoch: 2 [20838912/26365952 (79%)] Avg Boundaries (per batch): 18.967 Boundary Ratio: 0.097 Contrastive_loss: 0.87970 (0.85453) Boundary_loss: 0.013119 (0.013133) Loss: 0.89282 (0.86767) +2025-08-21,18:29:03 | INFO | Train Epoch: 2 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.72672 (0.85422) Boundary_loss: 0.013167 (0.013133) Loss: 0.73989 (0.86735) +2025-08-21,18:30:08 | INFO | Train Epoch: 2 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.88006 (0.85428) Boundary_loss: 0.013149 (0.013133) Loss: 0.89321 (0.86742) +2025-08-21,18:31:14 | INFO | Train Epoch: 2 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.64803 (0.85378) Boundary_loss: 0.012987 (0.013133) Loss: 0.66102 (0.86691) +2025-08-21,18:32:19 | INFO | Train Epoch: 2 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.79698 (0.85364) Boundary_loss: 0.013144 (0.013133) Loss: 0.81012 (0.86678) +2025-08-21,18:33:24 | INFO | Train Epoch: 2 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.71905 (0.85332) Boundary_loss: 0.013184 (0.013133) Loss: 0.73224 (0.86645) +2025-08-21,18:34:30 | INFO | Train Epoch: 2 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.652 Boundary Ratio: 0.100 Contrastive_loss: 0.73521 (0.85303) Boundary_loss: 0.013066 (0.013133) Loss: 0.74828 (0.86617) +2025-08-21,18:35:35 | INFO | Train Epoch: 2 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.67491 (0.85260) Boundary_loss: 0.013078 (0.013133) Loss: 0.68798 (0.86574) +2025-08-21,18:36:40 | INFO | Train Epoch: 2 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.71981 (0.85228) Boundary_loss: 0.013217 (0.013133) Loss: 0.73303 (0.86542) +2025-08-21,18:37:46 | INFO | Train Epoch: 2 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.70598 (0.85193) Boundary_loss: 0.013037 (0.013133) Loss: 0.71901 (0.86507) +2025-08-21,18:38:51 | INFO | Train Epoch: 2 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 0.84625 (0.85192) Boundary_loss: 0.013027 (0.013132) Loss: 0.85928 (0.86505) +2025-08-21,18:39:56 | INFO | Train Epoch: 2 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.77557 (0.85174) Boundary_loss: 0.013300 (0.013133) Loss: 0.78887 (0.86487) +2025-08-21,18:41:02 | INFO | Train Epoch: 2 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.89715 (0.85185) Boundary_loss: 0.013097 (0.013133) Loss: 0.91025 (0.86498) +2025-08-21,18:42:07 | INFO | Train Epoch: 2 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.75685 (0.85162) Boundary_loss: 0.013281 (0.013133) Loss: 0.77014 (0.86475) +2025-08-21,18:43:13 | INFO | Train Epoch: 2 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.84004 (0.85159) Boundary_loss: 0.013096 (0.013133) Loss: 0.85314 (0.86473) +2025-08-21,18:44:18 | INFO | Train Epoch: 2 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.71313 (0.85127) Boundary_loss: 0.013052 (0.013133) Loss: 0.72618 (0.86440) +2025-08-21,18:45:23 | INFO | Train Epoch: 2 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.79146 (0.85112) Boundary_loss: 0.013179 (0.013133) Loss: 0.80464 (0.86426) +2025-08-21,18:46:29 | INFO | Train Epoch: 2 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.91177 (0.85127) Boundary_loss: 0.013086 (0.013133) Loss: 0.92486 (0.86440) +2025-08-21,18:47:34 | INFO | Train Epoch: 2 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.86341 (0.85130) Boundary_loss: 0.013039 (0.013133) Loss: 0.87645 (0.86443) +2025-08-21,18:48:39 | INFO | Train Epoch: 2 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.65498 (0.85084) Boundary_loss: 0.013097 (0.013132) Loss: 0.66808 (0.86397) +2025-08-21,18:49:45 | INFO | Train Epoch: 2 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.69299 (0.85047) Boundary_loss: 0.013098 (0.013132) Loss: 0.70609 (0.86360) +2025-08-21,18:50:50 | INFO | Train Epoch: 2 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.73700 (0.85020) Boundary_loss: 0.013218 (0.013133) Loss: 0.75022 (0.86333) +2025-08-21,18:51:55 | INFO | Train Epoch: 2 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.81373 (0.85012) Boundary_loss: 0.013041 (0.013132) Loss: 0.82678 (0.86325) +2025-08-21,18:53:01 | INFO | Train Epoch: 2 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.86504 (0.85015) Boundary_loss: 0.013014 (0.013132) Loss: 0.87805 (0.86328) +2025-08-21,18:54:06 | INFO | Train Epoch: 2 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.81480 (0.85007) Boundary_loss: 0.013029 (0.013132) Loss: 0.82783 (0.86320) +2025-08-21,18:55:12 | INFO | Train Epoch: 2 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.758 Boundary Ratio: 0.101 Contrastive_loss: 0.86219 (0.85010) Boundary_loss: 0.013128 (0.013132) Loss: 0.87532 (0.86323) +2025-08-21,18:56:17 | INFO | Train Epoch: 2 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.72718 (0.84982) Boundary_loss: 0.013016 (0.013132) Loss: 0.74020 (0.86295) +2025-08-21,18:57:22 | INFO | Train Epoch: 2 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.71493 (0.84951) Boundary_loss: 0.013133 (0.013132) Loss: 0.72806 (0.86264) +2025-08-21,18:58:28 | INFO | Train Epoch: 2 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.77441 (0.84933) Boundary_loss: 0.013134 (0.013132) Loss: 0.78754 (0.86246) +2025-08-21,18:59:33 | INFO | Train Epoch: 2 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.77820 (0.84917) Boundary_loss: 0.013174 (0.013132) Loss: 0.79138 (0.86230) +2025-08-21,19:00:38 | INFO | Train Epoch: 2 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.69424 (0.84882) Boundary_loss: 0.013118 (0.013132) Loss: 0.70736 (0.86195) +2025-08-21,19:01:44 | INFO | Train Epoch: 2 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.74972 (0.84859) Boundary_loss: 0.013091 (0.013132) Loss: 0.76281 (0.86172) +2025-08-21,19:02:49 | INFO | Train Epoch: 2 [22477312/26365952 (85%)] Avg Boundaries (per batch): 18.850 Boundary Ratio: 0.096 Contrastive_loss: 0.72662 (0.84831) Boundary_loss: 0.013079 (0.013131) Loss: 0.73970 (0.86144) +2025-08-21,19:03:55 | INFO | Train Epoch: 2 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 0.73048 (0.84805) Boundary_loss: 0.013114 (0.013131) Loss: 0.74359 (0.86118) +2025-08-21,19:05:00 | INFO | Train Epoch: 2 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.73776 (0.84780) Boundary_loss: 0.013170 (0.013132) Loss: 0.75093 (0.86093) +2025-08-21,19:06:05 | INFO | Train Epoch: 2 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.75510 (0.84759) Boundary_loss: 0.013026 (0.013131) Loss: 0.76813 (0.86072) +2025-08-21,19:07:11 | INFO | Train Epoch: 2 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.75994 (0.84739) Boundary_loss: 0.013092 (0.013131) Loss: 0.77303 (0.86052) +2025-08-21,19:08:16 | INFO | Train Epoch: 2 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.680 Boundary Ratio: 0.100 Contrastive_loss: 0.64800 (0.84694) Boundary_loss: 0.013258 (0.013131) Loss: 0.66126 (0.86007) +2025-08-21,19:09:21 | INFO | Train Epoch: 2 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.73315 (0.84669) Boundary_loss: 0.012919 (0.013131) Loss: 0.74607 (0.85982) +2025-08-21,19:10:27 | INFO | Train Epoch: 2 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.75730 (0.84649) Boundary_loss: 0.013125 (0.013131) Loss: 0.77042 (0.85962) +2025-08-21,19:11:32 | INFO | Train Epoch: 2 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.73884 (0.84625) Boundary_loss: 0.012948 (0.013131) Loss: 0.75179 (0.85938) +2025-08-21,19:12:38 | INFO | Train Epoch: 2 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.89635 (0.84636) Boundary_loss: 0.013095 (0.013131) Loss: 0.90945 (0.85949) +2025-08-21,19:13:43 | INFO | Train Epoch: 2 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.80550 (0.84627) Boundary_loss: 0.013079 (0.013130) Loss: 0.81858 (0.85940) +2025-08-21,19:14:48 | INFO | Train Epoch: 2 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 0.72225 (0.84599) Boundary_loss: 0.013117 (0.013130) Loss: 0.73536 (0.85912) +2025-08-21,19:15:54 | INFO | Train Epoch: 2 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.74164 (0.84576) Boundary_loss: 0.013068 (0.013130) Loss: 0.75471 (0.85889) +2025-08-21,19:16:59 | INFO | Train Epoch: 2 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.71823 (0.84548) Boundary_loss: 0.013039 (0.013130) Loss: 0.73127 (0.85861) +2025-08-21,19:18:05 | INFO | Train Epoch: 2 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.852 Boundary Ratio: 0.101 Contrastive_loss: 0.67880 (0.84511) Boundary_loss: 0.013229 (0.013130) Loss: 0.69203 (0.85824) +2025-08-21,19:19:10 | INFO | Train Epoch: 2 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.81386 (0.84504) Boundary_loss: 0.013064 (0.013130) Loss: 0.82693 (0.85817) +2025-08-21,19:20:15 | INFO | Train Epoch: 2 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.79362 (0.84493) Boundary_loss: 0.013082 (0.013130) Loss: 0.80670 (0.85806) +2025-08-21,19:21:21 | INFO | Train Epoch: 2 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.84010 (0.84492) Boundary_loss: 0.013077 (0.013130) Loss: 0.85318 (0.85805) +2025-08-21,19:22:26 | INFO | Train Epoch: 2 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.703 Boundary Ratio: 0.101 Contrastive_loss: 0.78656 (0.84479) Boundary_loss: 0.013195 (0.013130) Loss: 0.79975 (0.85792) +2025-08-21,19:23:32 | INFO | Train Epoch: 2 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 0.75869 (0.84461) Boundary_loss: 0.013042 (0.013130) Loss: 0.77173 (0.85774) +2025-08-21,19:24:37 | INFO | Train Epoch: 2 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.81617 (0.84454) Boundary_loss: 0.013054 (0.013130) Loss: 0.82923 (0.85767) +2025-08-21,19:25:42 | INFO | Train Epoch: 2 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.88873 (0.84464) Boundary_loss: 0.013243 (0.013130) Loss: 0.90197 (0.85777) +2025-08-21,19:26:48 | INFO | Train Epoch: 2 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.82068 (0.84459) Boundary_loss: 0.013005 (0.013130) Loss: 0.83368 (0.85772) +2025-08-21,19:27:53 | INFO | Train Epoch: 2 [23654912/26365952 (90%)] Avg Boundaries (per batch): 18.832 Boundary Ratio: 0.096 Contrastive_loss: 0.73215 (0.84435) Boundary_loss: 0.013173 (0.013130) Loss: 0.74532 (0.85747) +2025-08-21,19:28:58 | INFO | Train Epoch: 2 [23706112/26365952 (90%)] Avg Boundaries (per batch): 18.658 Boundary Ratio: 0.095 Contrastive_loss: 0.84481 (0.84435) Boundary_loss: 0.013093 (0.013130) Loss: 0.85791 (0.85748) +2025-08-21,19:30:04 | INFO | Train Epoch: 2 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.76114 (0.84417) Boundary_loss: 0.013013 (0.013129) Loss: 0.77415 (0.85730) +2025-08-21,19:31:09 | INFO | Train Epoch: 2 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.76599 (0.84400) Boundary_loss: 0.013114 (0.013129) Loss: 0.77911 (0.85713) +2025-08-21,19:32:15 | INFO | Train Epoch: 2 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.73259 (0.84376) Boundary_loss: 0.013100 (0.013129) Loss: 0.74569 (0.85689) +2025-08-21,19:33:20 | INFO | Train Epoch: 2 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.72440 (0.84351) Boundary_loss: 0.013142 (0.013129) Loss: 0.73754 (0.85664) +2025-08-21,19:34:25 | INFO | Train Epoch: 2 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.75978 (0.84333) Boundary_loss: 0.013070 (0.013129) Loss: 0.77285 (0.85646) +2025-08-21,19:35:31 | INFO | Train Epoch: 2 [24013312/26365952 (91%)] Avg Boundaries (per batch): 18.801 Boundary Ratio: 0.096 Contrastive_loss: 0.79921 (0.84323) Boundary_loss: 0.013131 (0.013129) Loss: 0.81234 (0.85636) +2025-08-21,19:36:36 | INFO | Train Epoch: 2 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.70644 (0.84294) Boundary_loss: 0.013113 (0.013129) Loss: 0.71955 (0.85607) +2025-08-21,19:37:41 | INFO | Train Epoch: 2 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.67892 (0.84260) Boundary_loss: 0.013224 (0.013129) Loss: 0.69215 (0.85572) +2025-08-21,19:38:47 | INFO | Train Epoch: 2 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.74594 (0.84239) Boundary_loss: 0.013127 (0.013129) Loss: 0.75907 (0.85552) +2025-08-21,19:39:52 | INFO | Train Epoch: 2 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.81361 (0.84233) Boundary_loss: 0.013147 (0.013129) Loss: 0.82675 (0.85546) +2025-08-21,19:40:58 | INFO | Train Epoch: 2 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.69973 (0.84203) Boundary_loss: 0.013089 (0.013129) Loss: 0.71282 (0.85516) +2025-08-21,19:42:03 | INFO | Train Epoch: 2 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.78011 (0.84190) Boundary_loss: 0.013105 (0.013129) Loss: 0.79321 (0.85503) +2025-08-21,19:43:08 | INFO | Train Epoch: 2 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.81011 (0.84183) Boundary_loss: 0.013145 (0.013129) Loss: 0.82326 (0.85496) +2025-08-21,19:44:14 | INFO | Train Epoch: 2 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.76598 (0.84167) Boundary_loss: 0.013172 (0.013129) Loss: 0.77915 (0.85480) +2025-08-21,19:45:19 | INFO | Train Epoch: 2 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.84596 (0.84168) Boundary_loss: 0.013039 (0.013129) Loss: 0.85900 (0.85481) +2025-08-21,19:46:25 | INFO | Train Epoch: 2 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 0.80734 (0.84161) Boundary_loss: 0.013176 (0.013129) Loss: 0.82051 (0.85474) +2025-08-21,19:47:30 | INFO | Train Epoch: 2 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.71940 (0.84136) Boundary_loss: 0.013053 (0.013129) Loss: 0.73246 (0.85449) +2025-08-21,19:48:35 | INFO | Train Epoch: 2 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.82840 (0.84133) Boundary_loss: 0.013140 (0.013129) Loss: 0.84154 (0.85446) +2025-08-21,19:49:41 | INFO | Train Epoch: 2 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.70849 (0.84106) Boundary_loss: 0.013192 (0.013129) Loss: 0.72169 (0.85419) +2025-08-21,19:50:46 | INFO | Train Epoch: 2 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.70303 (0.84077) Boundary_loss: 0.013081 (0.013129) Loss: 0.71611 (0.85390) +2025-08-21,19:51:51 | INFO | Train Epoch: 2 [24781312/26365952 (94%)] Avg Boundaries (per batch): 18.891 Boundary Ratio: 0.096 Contrastive_loss: 0.82920 (0.84075) Boundary_loss: 0.013111 (0.013129) Loss: 0.84231 (0.85388) +2025-08-21,19:52:57 | INFO | Train Epoch: 2 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.746 Boundary Ratio: 0.101 Contrastive_loss: 0.60680 (0.84027) Boundary_loss: 0.013248 (0.013129) Loss: 0.62005 (0.85340) +2025-08-21,19:54:02 | INFO | Train Epoch: 2 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.63573 (0.83985) Boundary_loss: 0.013207 (0.013130) Loss: 0.64893 (0.85298) +2025-08-21,19:55:07 | INFO | Train Epoch: 2 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.69042 (0.83954) Boundary_loss: 0.013163 (0.013130) Loss: 0.70358 (0.85267) +2025-08-21,19:56:13 | INFO | Train Epoch: 2 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.67844 (0.83921) Boundary_loss: 0.012992 (0.013129) Loss: 0.69143 (0.85234) +2025-08-21,19:57:18 | INFO | Train Epoch: 2 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.80817 (0.83915) Boundary_loss: 0.013165 (0.013129) Loss: 0.82133 (0.85228) +2025-08-21,19:58:24 | INFO | Train Epoch: 2 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.64495 (0.83875) Boundary_loss: 0.013111 (0.013129) Loss: 0.65806 (0.85188) +2025-08-21,19:59:29 | INFO | Train Epoch: 2 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 0.74180 (0.83855) Boundary_loss: 0.013011 (0.013129) Loss: 0.75481 (0.85168) +2025-08-21,20:00:34 | INFO | Train Epoch: 2 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.74545 (0.83837) Boundary_loss: 0.013147 (0.013129) Loss: 0.75859 (0.85149) +2025-08-21,20:01:40 | INFO | Train Epoch: 2 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.81230 (0.83831) Boundary_loss: 0.013167 (0.013129) Loss: 0.82547 (0.85144) +2025-08-21,20:02:45 | INFO | Train Epoch: 2 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.68560 (0.83800) Boundary_loss: 0.012985 (0.013129) Loss: 0.69859 (0.85113) +2025-08-21,20:03:50 | INFO | Train Epoch: 2 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.70624 (0.83774) Boundary_loss: 0.013149 (0.013129) Loss: 0.71939 (0.85087) +2025-08-21,20:04:56 | INFO | Train Epoch: 2 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.938 Boundary Ratio: 0.102 Contrastive_loss: 0.76157 (0.83759) Boundary_loss: 0.013117 (0.013129) Loss: 0.77469 (0.85071) +2025-08-21,20:06:01 | INFO | Train Epoch: 2 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 0.64505 (0.83720) Boundary_loss: 0.013150 (0.013129) Loss: 0.65820 (0.85033) +2025-08-21,20:07:06 | INFO | Train Epoch: 2 [25498112/26365952 (97%)] Avg Boundaries (per batch): 18.879 Boundary Ratio: 0.096 Contrastive_loss: 0.83842 (0.83720) Boundary_loss: 0.012993 (0.013129) Loss: 0.85141 (0.85033) +2025-08-21,20:08:12 | INFO | Train Epoch: 2 [25549312/26365952 (97%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.62590 (0.83678) Boundary_loss: 0.013143 (0.013129) Loss: 0.63905 (0.84991) +2025-08-21,20:09:17 | INFO | Train Epoch: 2 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.72881 (0.83656) Boundary_loss: 0.013011 (0.013129) Loss: 0.74182 (0.84969) +2025-08-21,20:10:23 | INFO | Train Epoch: 2 [25651712/26365952 (97%)] Avg Boundaries (per batch): 18.984 Boundary Ratio: 0.097 Contrastive_loss: 0.75169 (0.83639) Boundary_loss: 0.013130 (0.013129) Loss: 0.76482 (0.84952) +2025-08-21,20:11:28 | INFO | Train Epoch: 2 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.72698 (0.83618) Boundary_loss: 0.013110 (0.013129) Loss: 0.74009 (0.84930) +2025-08-21,20:12:33 | INFO | Train Epoch: 2 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.611 Boundary Ratio: 0.100 Contrastive_loss: 0.77118 (0.83605) Boundary_loss: 0.013090 (0.013128) Loss: 0.78427 (0.84918) +2025-08-21,20:13:39 | INFO | Train Epoch: 2 [25805312/26365952 (98%)] Avg Boundaries (per batch): 18.652 Boundary Ratio: 0.095 Contrastive_loss: 0.73976 (0.83586) Boundary_loss: 0.013207 (0.013129) Loss: 0.75297 (0.84899) +2025-08-21,20:14:44 | INFO | Train Epoch: 2 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.81954 (0.83582) Boundary_loss: 0.013071 (0.013128) Loss: 0.83261 (0.84895) +2025-08-21,20:15:49 | INFO | Train Epoch: 2 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.73945 (0.83563) Boundary_loss: 0.013147 (0.013129) Loss: 0.75260 (0.84876) +2025-08-21,20:16:55 | INFO | Train Epoch: 2 [25958912/26365952 (98%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 0.73703 (0.83544) Boundary_loss: 0.013004 (0.013128) Loss: 0.75004 (0.84857) +2025-08-21,20:18:00 | INFO | Train Epoch: 2 [26010112/26365952 (99%)] Avg Boundaries (per batch): 18.932 Boundary Ratio: 0.097 Contrastive_loss: 0.86449 (0.83550) Boundary_loss: 0.013185 (0.013128) Loss: 0.87768 (0.84863) +2025-08-21,20:19:06 | INFO | Train Epoch: 2 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.71987 (0.83527) Boundary_loss: 0.013127 (0.013128) Loss: 0.73299 (0.84840) +2025-08-21,20:20:11 | INFO | Train Epoch: 2 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.621 Boundary Ratio: 0.100 Contrastive_loss: 0.67661 (0.83496) Boundary_loss: 0.013078 (0.013128) Loss: 0.68969 (0.84809) +2025-08-21,20:21:16 | INFO | Train Epoch: 2 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.78520 (0.83486) Boundary_loss: 0.013000 (0.013128) Loss: 0.79820 (0.84799) +2025-08-21,20:22:22 | INFO | Train Epoch: 2 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.564 Boundary Ratio: 0.100 Contrastive_loss: 0.73503 (0.83467) Boundary_loss: 0.013146 (0.013128) Loss: 0.74818 (0.84780) +2025-08-21,20:23:27 | INFO | Train Epoch: 2 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.67332 (0.83435) Boundary_loss: 0.013129 (0.013128) Loss: 0.68645 (0.84748) +2025-08-21,20:24:33 | INFO | Train Epoch: 2 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.74776 (0.83419) Boundary_loss: 0.013105 (0.013128) Loss: 0.76087 (0.84731) +2025-08-21,20:25:35 | INFO | Train Epoch: 2 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.689 Boundary Ratio: 0.100 Contrastive_loss: 0.55364 (0.83364) Boundary_loss: 0.013122 (0.013128) Loss: 0.56676 (0.84677) +2025-08-21,20:25:35 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-21,20:25:35 | INFO | [Epoch 2] Average Step Time: 0.655s | Average GPU Memory: 37.4 GB +2025-08-21,20:25:35 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-21,20:25:35 | INFO | Starting zero-shot imagenet. +2025-08-21,20:25:35 | INFO | Building zero-shot classifier +2025-08-21,20:25:44 | INFO | Using classifier +2025-08-21,20:26:31 | INFO | Finished zero-shot imagenet. +2025-08-21,20:26:31 | INFO | Eval Epoch: 3 imagenet-zeroshot-val-top1: 0.2110 imagenet-zeroshot-val-top5: 0.4397 +2025-08-21,20:26:32 | INFO | Start epoch 3 +2025-08-21,20:26:34 | INFO | Train Epoch: 3 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.58994 (0.58994) Boundary_loss: 0.013052 (0.013052) Loss: 0.60299 (0.60299) +2025-08-21,20:27:39 | INFO | Train Epoch: 3 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 0.76742 (0.67868) Boundary_loss: 0.013161 (0.013107) Loss: 0.78058 (0.69178) +2025-08-21,20:28:45 | INFO | Train Epoch: 3 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.79748 (0.71828) Boundary_loss: 0.013169 (0.013127) Loss: 0.81065 (0.73141) +2025-08-21,20:29:50 | INFO | Train Epoch: 3 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.762 Boundary Ratio: 0.101 Contrastive_loss: 0.67657 (0.70785) Boundary_loss: 0.013140 (0.013130) Loss: 0.68971 (0.72098) +2025-08-21,20:30:55 | INFO | Train Epoch: 3 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.66916 (0.70011) Boundary_loss: 0.013140 (0.013132) Loss: 0.68230 (0.71325) +2025-08-21,20:32:00 | INFO | Train Epoch: 3 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.63419 (0.68913) Boundary_loss: 0.013051 (0.013119) Loss: 0.64725 (0.70225) +2025-08-21,20:33:05 | INFO | Train Epoch: 3 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.75909 (0.69912) Boundary_loss: 0.013029 (0.013106) Loss: 0.77212 (0.71223) +2025-08-21,20:34:10 | INFO | Train Epoch: 3 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.70839 (0.70028) Boundary_loss: 0.013172 (0.013114) Loss: 0.72156 (0.71340) +2025-08-21,20:35:16 | INFO | Train Epoch: 3 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.64188 (0.69379) Boundary_loss: 0.013204 (0.013124) Loss: 0.65509 (0.70692) +2025-08-21,20:36:21 | INFO | Train Epoch: 3 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.58834 (0.68325) Boundary_loss: 0.013050 (0.013117) Loss: 0.60139 (0.69636) +2025-08-21,20:37:26 | INFO | Train Epoch: 3 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.664 Boundary Ratio: 0.100 Contrastive_loss: 0.71807 (0.68641) Boundary_loss: 0.013110 (0.013116) Loss: 0.73118 (0.69953) +2025-08-21,20:38:31 | INFO | Train Epoch: 3 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.51051 (0.67175) Boundary_loss: 0.013106 (0.013115) Loss: 0.52362 (0.68487) +2025-08-21,20:39:36 | INFO | Train Epoch: 3 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.60443 (0.66658) Boundary_loss: 0.013051 (0.013110) Loss: 0.61749 (0.67969) +2025-08-21,20:40:41 | INFO | Train Epoch: 3 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.63081 (0.66402) Boundary_loss: 0.012936 (0.013098) Loss: 0.64374 (0.67712) +2025-08-21,20:41:46 | INFO | Train Epoch: 3 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 0.63808 (0.66229) Boundary_loss: 0.013064 (0.013096) Loss: 0.65115 (0.67539) +2025-08-21,20:42:52 | INFO | Train Epoch: 3 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.59760 (0.65825) Boundary_loss: 0.013065 (0.013094) Loss: 0.61067 (0.67134) +2025-08-21,20:43:57 | INFO | Train Epoch: 3 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.69494 (0.66041) Boundary_loss: 0.012994 (0.013088) Loss: 0.70794 (0.67350) +2025-08-21,20:45:02 | INFO | Train Epoch: 3 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.57746 (0.65580) Boundary_loss: 0.013060 (0.013086) Loss: 0.59052 (0.66889) +2025-08-21,20:46:07 | INFO | Train Epoch: 3 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 0.63814 (0.65487) Boundary_loss: 0.013015 (0.013083) Loss: 0.65115 (0.66795) +2025-08-21,20:47:12 | INFO | Train Epoch: 3 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.639 Boundary Ratio: 0.100 Contrastive_loss: 0.66582 (0.65542) Boundary_loss: 0.013069 (0.013082) Loss: 0.67889 (0.66850) +2025-08-21,20:48:17 | INFO | Train Epoch: 3 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.67505 (0.65635) Boundary_loss: 0.013170 (0.013086) Loss: 0.68822 (0.66944) +2025-08-21,20:49:22 | INFO | Train Epoch: 3 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.74447 (0.66036) Boundary_loss: 0.013023 (0.013083) Loss: 0.75749 (0.67344) +2025-08-21,20:50:28 | INFO | Train Epoch: 3 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.58939 (0.65727) Boundary_loss: 0.013041 (0.013081) Loss: 0.60243 (0.67035) +2025-08-21,20:51:33 | INFO | Train Epoch: 3 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.66563 (0.65762) Boundary_loss: 0.013081 (0.013081) Loss: 0.67871 (0.67070) +2025-08-21,20:52:38 | INFO | Train Epoch: 3 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.73033 (0.66053) Boundary_loss: 0.013080 (0.013081) Loss: 0.74341 (0.67361) +2025-08-21,20:53:43 | INFO | Train Epoch: 3 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 18.990 Boundary Ratio: 0.097 Contrastive_loss: 0.72701 (0.66309) Boundary_loss: 0.013128 (0.013083) Loss: 0.74014 (0.67617) +2025-08-21,20:54:48 | INFO | Train Epoch: 3 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.736 Boundary Ratio: 0.101 Contrastive_loss: 0.80629 (0.66839) Boundary_loss: 0.013126 (0.013085) Loss: 0.81941 (0.68147) +2025-08-21,20:55:54 | INFO | Train Epoch: 3 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.70157 (0.66957) Boundary_loss: 0.013059 (0.013084) Loss: 0.71463 (0.68266) +2025-08-21,20:56:59 | INFO | Train Epoch: 3 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 0.73592 (0.67186) Boundary_loss: 0.013116 (0.013085) Loss: 0.74904 (0.68495) +2025-08-21,20:58:04 | INFO | Train Epoch: 3 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.582 Boundary Ratio: 0.100 Contrastive_loss: 0.64788 (0.67106) Boundary_loss: 0.013201 (0.013089) Loss: 0.66108 (0.68415) +2025-08-21,20:59:09 | INFO | Train Epoch: 3 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 18.857 Boundary Ratio: 0.096 Contrastive_loss: 0.70477 (0.67215) Boundary_loss: 0.013188 (0.013092) Loss: 0.71795 (0.68524) +2025-08-21,21:00:14 | INFO | Train Epoch: 3 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.71692 (0.67355) Boundary_loss: 0.013084 (0.013092) Loss: 0.73000 (0.68664) +2025-08-21,21:01:19 | INFO | Train Epoch: 3 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 0.69364 (0.67416) Boundary_loss: 0.013110 (0.013092) Loss: 0.70675 (0.68725) +2025-08-21,21:02:24 | INFO | Train Epoch: 3 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.65107 (0.67348) Boundary_loss: 0.013058 (0.013091) Loss: 0.66413 (0.68657) +2025-08-21,21:03:30 | INFO | Train Epoch: 3 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.58338 (0.67090) Boundary_loss: 0.013001 (0.013089) Loss: 0.59638 (0.68399) +2025-08-21,21:04:35 | INFO | Train Epoch: 3 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.70676 (0.67190) Boundary_loss: 0.013002 (0.013086) Loss: 0.71976 (0.68499) +2025-08-21,21:05:40 | INFO | Train Epoch: 3 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.57811 (0.66937) Boundary_loss: 0.012949 (0.013083) Loss: 0.59106 (0.68245) +2025-08-21,21:06:45 | INFO | Train Epoch: 3 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.68387 (0.66975) Boundary_loss: 0.013098 (0.013083) Loss: 0.69696 (0.68283) +2025-08-21,21:07:50 | INFO | Train Epoch: 3 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.76720 (0.67225) Boundary_loss: 0.013060 (0.013082) Loss: 0.78026 (0.68533) +2025-08-21,21:08:56 | INFO | Train Epoch: 3 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 0.57924 (0.66992) Boundary_loss: 0.013119 (0.013083) Loss: 0.59236 (0.68300) +2025-08-21,21:10:01 | INFO | Train Epoch: 3 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.74134 (0.67166) Boundary_loss: 0.013177 (0.013086) Loss: 0.75451 (0.68475) +2025-08-21,21:11:06 | INFO | Train Epoch: 3 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.68842 (0.67206) Boundary_loss: 0.013102 (0.013086) Loss: 0.70152 (0.68515) +2025-08-21,21:12:11 | INFO | Train Epoch: 3 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.77649 (0.67449) Boundary_loss: 0.013091 (0.013086) Loss: 0.78958 (0.68758) +2025-08-21,21:13:16 | INFO | Train Epoch: 3 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 0.66812 (0.67435) Boundary_loss: 0.013014 (0.013084) Loss: 0.68114 (0.68743) +2025-08-21,21:14:22 | INFO | Train Epoch: 3 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.67051 (0.67426) Boundary_loss: 0.013099 (0.013085) Loss: 0.68361 (0.68735) +2025-08-21,21:15:27 | INFO | Train Epoch: 3 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.64619 (0.67365) Boundary_loss: 0.013082 (0.013085) Loss: 0.65927 (0.68673) +2025-08-21,21:16:32 | INFO | Train Epoch: 3 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.69549 (0.67411) Boundary_loss: 0.013101 (0.013085) Loss: 0.70859 (0.68720) +2025-08-21,21:17:37 | INFO | Train Epoch: 3 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.73968 (0.67548) Boundary_loss: 0.013106 (0.013086) Loss: 0.75279 (0.68857) +2025-08-21,21:18:43 | INFO | Train Epoch: 3 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.57273 (0.67338) Boundary_loss: 0.013065 (0.013085) Loss: 0.58579 (0.68647) +2025-08-21,21:19:48 | INFO | Train Epoch: 3 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.60567 (0.67203) Boundary_loss: 0.012999 (0.013083) Loss: 0.61867 (0.68511) +2025-08-21,21:20:53 | INFO | Train Epoch: 3 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.59352 (0.67049) Boundary_loss: 0.013178 (0.013085) Loss: 0.60669 (0.68358) +2025-08-21,21:21:58 | INFO | Train Epoch: 3 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.75275 (0.67207) Boundary_loss: 0.013170 (0.013087) Loss: 0.76592 (0.68516) +2025-08-21,21:23:03 | INFO | Train Epoch: 3 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.63910 (0.67145) Boundary_loss: 0.013119 (0.013087) Loss: 0.65222 (0.68454) +2025-08-21,21:24:09 | INFO | Train Epoch: 3 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.69756 (0.67193) Boundary_loss: 0.013026 (0.013086) Loss: 0.71059 (0.68502) +2025-08-21,21:25:14 | INFO | Train Epoch: 3 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.66583 (0.67182) Boundary_loss: 0.013221 (0.013089) Loss: 0.67905 (0.68491) +2025-08-21,21:26:19 | INFO | Train Epoch: 3 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.61777 (0.67086) Boundary_loss: 0.013107 (0.013089) Loss: 0.63087 (0.68395) +2025-08-21,21:27:24 | INFO | Train Epoch: 3 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.76132 (0.67244) Boundary_loss: 0.013044 (0.013088) Loss: 0.77437 (0.68553) +2025-08-21,21:28:30 | INFO | Train Epoch: 3 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.66150 (0.67226) Boundary_loss: 0.013060 (0.013088) Loss: 0.67456 (0.68534) +2025-08-21,21:29:35 | INFO | Train Epoch: 3 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.66759 (0.67218) Boundary_loss: 0.013069 (0.013087) Loss: 0.68066 (0.68526) +2025-08-21,21:30:40 | INFO | Train Epoch: 3 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.77634 (0.67391) Boundary_loss: 0.013014 (0.013086) Loss: 0.78935 (0.68700) +2025-08-21,21:31:45 | INFO | Train Epoch: 3 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.61451 (0.67294) Boundary_loss: 0.013113 (0.013087) Loss: 0.62762 (0.68603) +2025-08-21,21:32:51 | INFO | Train Epoch: 3 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.71047 (0.67354) Boundary_loss: 0.013110 (0.013087) Loss: 0.72358 (0.68663) +2025-08-21,21:33:56 | INFO | Train Epoch: 3 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.70910 (0.67411) Boundary_loss: 0.013071 (0.013087) Loss: 0.72217 (0.68720) +2025-08-21,21:35:01 | INFO | Train Epoch: 3 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.65452 (0.67380) Boundary_loss: 0.013112 (0.013087) Loss: 0.66763 (0.68689) +2025-08-21,21:36:06 | INFO | Train Epoch: 3 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.69623 (0.67415) Boundary_loss: 0.013125 (0.013088) Loss: 0.70935 (0.68723) +2025-08-21,21:37:11 | INFO | Train Epoch: 3 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.678 Boundary Ratio: 0.100 Contrastive_loss: 0.65118 (0.67380) Boundary_loss: 0.013141 (0.013089) Loss: 0.66433 (0.68689) +2025-08-21,21:38:17 | INFO | Train Epoch: 3 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.76141 (0.67511) Boundary_loss: 0.013197 (0.013090) Loss: 0.77461 (0.68820) +2025-08-21,21:39:22 | INFO | Train Epoch: 3 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.66244 (0.67492) Boundary_loss: 0.013116 (0.013091) Loss: 0.67555 (0.68801) +2025-08-21,21:40:27 | INFO | Train Epoch: 3 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.65398 (0.67462) Boundary_loss: 0.013035 (0.013090) Loss: 0.66701 (0.68771) +2025-08-21,21:41:33 | INFO | Train Epoch: 3 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.64674 (0.67422) Boundary_loss: 0.013215 (0.013092) Loss: 0.65996 (0.68731) +2025-08-21,21:42:38 | INFO | Train Epoch: 3 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.58141 (0.67291) Boundary_loss: 0.013165 (0.013093) Loss: 0.59458 (0.68600) +2025-08-21,21:43:43 | INFO | Train Epoch: 3 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.641 Boundary Ratio: 0.100 Contrastive_loss: 0.56209 (0.67137) Boundary_loss: 0.013057 (0.013092) Loss: 0.57515 (0.68446) +2025-08-21,21:44:49 | INFO | Train Epoch: 3 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.60588 (0.67048) Boundary_loss: 0.012970 (0.013090) Loss: 0.61885 (0.68357) +2025-08-21,21:45:54 | INFO | Train Epoch: 3 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.71053 (0.67102) Boundary_loss: 0.013165 (0.013091) Loss: 0.72370 (0.68411) +2025-08-21,21:46:59 | INFO | Train Epoch: 3 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 18.924 Boundary Ratio: 0.097 Contrastive_loss: 0.83610 (0.67322) Boundary_loss: 0.013166 (0.013092) Loss: 0.84927 (0.68631) +2025-08-21,21:48:05 | INFO | Train Epoch: 3 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.770 Boundary Ratio: 0.101 Contrastive_loss: 0.84015 (0.67541) Boundary_loss: 0.013157 (0.013093) Loss: 0.85331 (0.68851) +2025-08-21,21:49:10 | INFO | Train Epoch: 3 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.72925 (0.67611) Boundary_loss: 0.013046 (0.013093) Loss: 0.74230 (0.68921) +2025-08-21,21:50:15 | INFO | Train Epoch: 3 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.70593 (0.67650) Boundary_loss: 0.013194 (0.013094) Loss: 0.71913 (0.68959) +2025-08-21,21:51:21 | INFO | Train Epoch: 3 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.77237 (0.67771) Boundary_loss: 0.013222 (0.013096) Loss: 0.78559 (0.69080) +2025-08-21,21:52:26 | INFO | Train Epoch: 3 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.58276 (0.67652) Boundary_loss: 0.013069 (0.013095) Loss: 0.59583 (0.68962) +2025-08-21,21:53:31 | INFO | Train Epoch: 3 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.70412 (0.67686) Boundary_loss: 0.013075 (0.013095) Loss: 0.71720 (0.68996) +2025-08-21,21:54:36 | INFO | Train Epoch: 3 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.63272 (0.67632) Boundary_loss: 0.013115 (0.013095) Loss: 0.64583 (0.68942) +2025-08-21,21:55:42 | INFO | Train Epoch: 3 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 0.79618 (0.67777) Boundary_loss: 0.013076 (0.013095) Loss: 0.80925 (0.69086) +2025-08-21,21:56:47 | INFO | Train Epoch: 3 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 0.49123 (0.67555) Boundary_loss: 0.013131 (0.013095) Loss: 0.50436 (0.68864) +2025-08-21,21:57:52 | INFO | Train Epoch: 3 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.70500 (0.67589) Boundary_loss: 0.013032 (0.013095) Loss: 0.71804 (0.68899) +2025-08-21,21:58:58 | INFO | Train Epoch: 3 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.68568 (0.67601) Boundary_loss: 0.013050 (0.013094) Loss: 0.69873 (0.68910) +2025-08-21,22:00:03 | INFO | Train Epoch: 3 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 18.758 Boundary Ratio: 0.096 Contrastive_loss: 0.74296 (0.67678) Boundary_loss: 0.013112 (0.013094) Loss: 0.75607 (0.68987) +2025-08-21,22:01:08 | INFO | Train Epoch: 3 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.72089 (0.67728) Boundary_loss: 0.013149 (0.013095) Loss: 0.73404 (0.69037) +2025-08-21,22:02:14 | INFO | Train Epoch: 3 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.65126 (0.67699) Boundary_loss: 0.013163 (0.013096) Loss: 0.66443 (0.69008) +2025-08-21,22:03:19 | INFO | Train Epoch: 3 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.64016 (0.67658) Boundary_loss: 0.013153 (0.013096) Loss: 0.65332 (0.68967) +2025-08-21,22:04:24 | INFO | Train Epoch: 3 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.86970 (0.67870) Boundary_loss: 0.013047 (0.013096) Loss: 0.88275 (0.69180) +2025-08-21,22:05:30 | INFO | Train Epoch: 3 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.60226 (0.67787) Boundary_loss: 0.013098 (0.013096) Loss: 0.61535 (0.69097) +2025-08-21,22:06:35 | INFO | Train Epoch: 3 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.73335 (0.67847) Boundary_loss: 0.013026 (0.013095) Loss: 0.74638 (0.69156) +2025-08-21,22:07:40 | INFO | Train Epoch: 3 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.65362 (0.67820) Boundary_loss: 0.013160 (0.013096) Loss: 0.66678 (0.69130) +2025-08-21,22:08:46 | INFO | Train Epoch: 3 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.73313 (0.67878) Boundary_loss: 0.013168 (0.013097) Loss: 0.74630 (0.69188) +2025-08-21,22:09:51 | INFO | Train Epoch: 3 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.68776 (0.67887) Boundary_loss: 0.013109 (0.013097) Loss: 0.70087 (0.69197) +2025-08-21,22:10:56 | INFO | Train Epoch: 3 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.64539 (0.67853) Boundary_loss: 0.012988 (0.013096) Loss: 0.65838 (0.69162) +2025-08-21,22:12:01 | INFO | Train Epoch: 3 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.65632 (0.67830) Boundary_loss: 0.013129 (0.013096) Loss: 0.66945 (0.69140) +2025-08-21,22:13:07 | INFO | Train Epoch: 3 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.61516 (0.67766) Boundary_loss: 0.013097 (0.013096) Loss: 0.62826 (0.69076) +2025-08-21,22:14:12 | INFO | Train Epoch: 3 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.69085 (0.67780) Boundary_loss: 0.013129 (0.013096) Loss: 0.70397 (0.69089) +2025-08-21,22:15:17 | INFO | Train Epoch: 3 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.60500 (0.67707) Boundary_loss: 0.013194 (0.013097) Loss: 0.61820 (0.69017) +2025-08-21,22:16:22 | INFO | Train Epoch: 3 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 18.842 Boundary Ratio: 0.096 Contrastive_loss: 0.75918 (0.67788) Boundary_loss: 0.013036 (0.013097) Loss: 0.77222 (0.69098) +2025-08-21,22:17:28 | INFO | Train Epoch: 3 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.78833 (0.67895) Boundary_loss: 0.013055 (0.013096) Loss: 0.80138 (0.69205) +2025-08-21,22:18:33 | INFO | Train Epoch: 3 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.67118 (0.67888) Boundary_loss: 0.013121 (0.013096) Loss: 0.68430 (0.69197) +2025-08-21,22:19:38 | INFO | Train Epoch: 3 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.63546 (0.67846) Boundary_loss: 0.013194 (0.013097) Loss: 0.64866 (0.69156) +2025-08-21,22:20:44 | INFO | Train Epoch: 3 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.65210 (0.67822) Boundary_loss: 0.013191 (0.013098) Loss: 0.66529 (0.69131) +2025-08-21,22:21:49 | INFO | Train Epoch: 3 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.71917 (0.67860) Boundary_loss: 0.013083 (0.013098) Loss: 0.73226 (0.69170) +2025-08-21,22:22:54 | INFO | Train Epoch: 3 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 18.895 Boundary Ratio: 0.096 Contrastive_loss: 0.61585 (0.67802) Boundary_loss: 0.013183 (0.013099) Loss: 0.62904 (0.69112) +2025-08-21,22:23:59 | INFO | Train Epoch: 3 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.58279 (0.67714) Boundary_loss: 0.013117 (0.013099) Loss: 0.59591 (0.69024) +2025-08-21,22:25:04 | INFO | Train Epoch: 3 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 18.887 Boundary Ratio: 0.096 Contrastive_loss: 0.65479 (0.67694) Boundary_loss: 0.013031 (0.013098) Loss: 0.66782 (0.69004) +2025-08-21,22:26:10 | INFO | Train Epoch: 3 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.66869 (0.67687) Boundary_loss: 0.013082 (0.013098) Loss: 0.68177 (0.68996) +2025-08-21,22:27:15 | INFO | Train Epoch: 3 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 0.69026 (0.67699) Boundary_loss: 0.013108 (0.013098) Loss: 0.70337 (0.69008) +2025-08-21,22:28:20 | INFO | Train Epoch: 3 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 18.977 Boundary Ratio: 0.097 Contrastive_loss: 0.81298 (0.67819) Boundary_loss: 0.013274 (0.013100) Loss: 0.82626 (0.69129) +2025-08-21,22:29:26 | INFO | Train Epoch: 3 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.69901 (0.67837) Boundary_loss: 0.013247 (0.013101) Loss: 0.71225 (0.69147) +2025-08-21,22:30:31 | INFO | Train Epoch: 3 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.65604 (0.67818) Boundary_loss: 0.013154 (0.013102) Loss: 0.66919 (0.69128) +2025-08-21,22:31:36 | INFO | Train Epoch: 3 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.62578 (0.67773) Boundary_loss: 0.013119 (0.013102) Loss: 0.63890 (0.69083) +2025-08-21,22:32:41 | INFO | Train Epoch: 3 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.67709 (0.67772) Boundary_loss: 0.012983 (0.013101) Loss: 0.69007 (0.69082) +2025-08-21,22:33:47 | INFO | Train Epoch: 3 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.62012 (0.67723) Boundary_loss: 0.013077 (0.013101) Loss: 0.63320 (0.69033) +2025-08-21,22:34:52 | INFO | Train Epoch: 3 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.60564 (0.67663) Boundary_loss: 0.013194 (0.013101) Loss: 0.61883 (0.68973) +2025-08-21,22:35:57 | INFO | Train Epoch: 3 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 0.70091 (0.67683) Boundary_loss: 0.013229 (0.013102) Loss: 0.71414 (0.68994) +2025-08-21,22:37:02 | INFO | Train Epoch: 3 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.62801 (0.67643) Boundary_loss: 0.013042 (0.013102) Loss: 0.64105 (0.68953) +2025-08-21,22:38:08 | INFO | Train Epoch: 3 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.72221 (0.67680) Boundary_loss: 0.013098 (0.013102) Loss: 0.73531 (0.68991) +2025-08-21,22:39:13 | INFO | Train Epoch: 3 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.62740 (0.67640) Boundary_loss: 0.013214 (0.013103) Loss: 0.64062 (0.68951) +2025-08-21,22:40:18 | INFO | Train Epoch: 3 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.80936 (0.67748) Boundary_loss: 0.013041 (0.013102) Loss: 0.82240 (0.69058) +2025-08-21,22:41:24 | INFO | Train Epoch: 3 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.60552 (0.67690) Boundary_loss: 0.013182 (0.013103) Loss: 0.61870 (0.69000) +2025-08-21,22:42:29 | INFO | Train Epoch: 3 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.643 Boundary Ratio: 0.100 Contrastive_loss: 0.64024 (0.67661) Boundary_loss: 0.013042 (0.013103) Loss: 0.65329 (0.68971) +2025-08-21,22:43:34 | INFO | Train Epoch: 3 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.67161 (0.67657) Boundary_loss: 0.013158 (0.013103) Loss: 0.68477 (0.68967) +2025-08-21,22:44:40 | INFO | Train Epoch: 3 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.56369 (0.67569) Boundary_loss: 0.013011 (0.013102) Loss: 0.57670 (0.68879) +2025-08-21,22:45:45 | INFO | Train Epoch: 3 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.56835 (0.67486) Boundary_loss: 0.013168 (0.013103) Loss: 0.58152 (0.68796) +2025-08-21,22:46:50 | INFO | Train Epoch: 3 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.70151 (0.67506) Boundary_loss: 0.013175 (0.013103) Loss: 0.71469 (0.68816) +2025-08-21,22:47:56 | INFO | Train Epoch: 3 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.57744 (0.67432) Boundary_loss: 0.013142 (0.013104) Loss: 0.59058 (0.68742) +2025-08-21,22:49:01 | INFO | Train Epoch: 3 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 0.70400 (0.67454) Boundary_loss: 0.013146 (0.013104) Loss: 0.71715 (0.68764) +2025-08-21,22:50:06 | INFO | Train Epoch: 3 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.64663 (0.67433) Boundary_loss: 0.013119 (0.013104) Loss: 0.65975 (0.68743) +2025-08-21,22:51:12 | INFO | Train Epoch: 3 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.65031 (0.67415) Boundary_loss: 0.013234 (0.013105) Loss: 0.66355 (0.68726) +2025-08-21,22:52:17 | INFO | Train Epoch: 3 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.64725 (0.67395) Boundary_loss: 0.013179 (0.013106) Loss: 0.66043 (0.68706) +2025-08-21,22:53:22 | INFO | Train Epoch: 3 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 18.793 Boundary Ratio: 0.096 Contrastive_loss: 0.47321 (0.67248) Boundary_loss: 0.013122 (0.013106) Loss: 0.48633 (0.68558) +2025-08-21,22:54:28 | INFO | Train Epoch: 3 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.58227 (0.67182) Boundary_loss: 0.013206 (0.013106) Loss: 0.59548 (0.68492) +2025-08-21,22:55:33 | INFO | Train Epoch: 3 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.81041 (0.67282) Boundary_loss: 0.013073 (0.013106) Loss: 0.82349 (0.68593) +2025-08-21,22:56:38 | INFO | Train Epoch: 3 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.60326 (0.67232) Boundary_loss: 0.013113 (0.013106) Loss: 0.61637 (0.68543) +2025-08-21,22:57:43 | INFO | Train Epoch: 3 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.72637 (0.67271) Boundary_loss: 0.013188 (0.013107) Loss: 0.73956 (0.68581) +2025-08-21,22:58:49 | INFO | Train Epoch: 3 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.59736 (0.67217) Boundary_loss: 0.013156 (0.013107) Loss: 0.61051 (0.68528) +2025-08-21,22:59:54 | INFO | Train Epoch: 3 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.62886 (0.67187) Boundary_loss: 0.013098 (0.013107) Loss: 0.64196 (0.68497) +2025-08-21,23:00:59 | INFO | Train Epoch: 3 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.62779 (0.67156) Boundary_loss: 0.012952 (0.013106) Loss: 0.64074 (0.68467) +2025-08-21,23:02:05 | INFO | Train Epoch: 3 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.67468 (0.67158) Boundary_loss: 0.013017 (0.013105) Loss: 0.68770 (0.68469) +2025-08-21,23:03:10 | INFO | Train Epoch: 3 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.60504 (0.67112) Boundary_loss: 0.013127 (0.013106) Loss: 0.61817 (0.68423) +2025-08-21,23:04:15 | INFO | Train Epoch: 3 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.65845 (0.67104) Boundary_loss: 0.012959 (0.013105) Loss: 0.67141 (0.68414) +2025-08-21,23:05:21 | INFO | Train Epoch: 3 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.58781 (0.67047) Boundary_loss: 0.012921 (0.013103) Loss: 0.60073 (0.68357) +2025-08-21,23:06:26 | INFO | Train Epoch: 3 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.63701 (0.67024) Boundary_loss: 0.013048 (0.013103) Loss: 0.65005 (0.68335) +2025-08-21,23:07:31 | INFO | Train Epoch: 3 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 0.71122 (0.67052) Boundary_loss: 0.013109 (0.013103) Loss: 0.72433 (0.68362) +2025-08-21,23:08:37 | INFO | Train Epoch: 3 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.69344 (0.67067) Boundary_loss: 0.013152 (0.013103) Loss: 0.70659 (0.68377) +2025-08-21,23:09:42 | INFO | Train Epoch: 3 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.67079 (0.67067) Boundary_loss: 0.013101 (0.013103) Loss: 0.68389 (0.68378) +2025-08-21,23:10:47 | INFO | Train Epoch: 3 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.60485 (0.67024) Boundary_loss: 0.013046 (0.013103) Loss: 0.61790 (0.68334) +2025-08-21,23:11:52 | INFO | Train Epoch: 3 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.73260 (0.67065) Boundary_loss: 0.013114 (0.013103) Loss: 0.74571 (0.68375) +2025-08-21,23:12:58 | INFO | Train Epoch: 3 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.76440 (0.67126) Boundary_loss: 0.013129 (0.013103) Loss: 0.77753 (0.68436) +2025-08-21,23:14:03 | INFO | Train Epoch: 3 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.71012 (0.67151) Boundary_loss: 0.013046 (0.013103) Loss: 0.72317 (0.68461) +2025-08-21,23:15:08 | INFO | Train Epoch: 3 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.65503 (0.67140) Boundary_loss: 0.013136 (0.013103) Loss: 0.66816 (0.68450) +2025-08-21,23:16:13 | INFO | Train Epoch: 3 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.63069 (0.67114) Boundary_loss: 0.013160 (0.013103) Loss: 0.64385 (0.68424) +2025-08-21,23:17:19 | INFO | Train Epoch: 3 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.85701 (0.67232) Boundary_loss: 0.013200 (0.013104) Loss: 0.87021 (0.68542) +2025-08-21,23:18:24 | INFO | Train Epoch: 3 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.59779 (0.67185) Boundary_loss: 0.013153 (0.013104) Loss: 0.61094 (0.68495) +2025-08-21,23:19:29 | INFO | Train Epoch: 3 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.63359 (0.67161) Boundary_loss: 0.013004 (0.013104) Loss: 0.64660 (0.68471) +2025-08-21,23:20:34 | INFO | Train Epoch: 3 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.62312 (0.67131) Boundary_loss: 0.013157 (0.013104) Loss: 0.63627 (0.68441) +2025-08-21,23:21:40 | INFO | Train Epoch: 3 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 18.988 Boundary Ratio: 0.097 Contrastive_loss: 0.64689 (0.67116) Boundary_loss: 0.013010 (0.013103) Loss: 0.65990 (0.68426) +2025-08-21,23:22:45 | INFO | Train Epoch: 3 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.63704 (0.67095) Boundary_loss: 0.013100 (0.013103) Loss: 0.65014 (0.68405) +2025-08-21,23:23:50 | INFO | Train Epoch: 3 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.65710 (0.67086) Boundary_loss: 0.013057 (0.013103) Loss: 0.67015 (0.68397) +2025-08-21,23:24:55 | INFO | Train Epoch: 3 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.70933 (0.67110) Boundary_loss: 0.013055 (0.013103) Loss: 0.72238 (0.68420) +2025-08-21,23:26:01 | INFO | Train Epoch: 3 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.61953 (0.67079) Boundary_loss: 0.013100 (0.013103) Loss: 0.63263 (0.68389) +2025-08-21,23:27:06 | INFO | Train Epoch: 3 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.629 Boundary Ratio: 0.100 Contrastive_loss: 0.71376 (0.67104) Boundary_loss: 0.013157 (0.013103) Loss: 0.72692 (0.68415) +2025-08-21,23:28:11 | INFO | Train Epoch: 3 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 18.990 Boundary Ratio: 0.097 Contrastive_loss: 0.64690 (0.67090) Boundary_loss: 0.013078 (0.013103) Loss: 0.65998 (0.68400) +2025-08-21,23:29:16 | INFO | Train Epoch: 3 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.65919 (0.67083) Boundary_loss: 0.013104 (0.013103) Loss: 0.67229 (0.68393) +2025-08-21,23:30:21 | INFO | Train Epoch: 3 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.61433 (0.67050) Boundary_loss: 0.013067 (0.013103) Loss: 0.62739 (0.68360) +2025-08-21,23:31:27 | INFO | Train Epoch: 3 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.77037 (0.67108) Boundary_loss: 0.013074 (0.013103) Loss: 0.78345 (0.68418) +2025-08-21,23:32:32 | INFO | Train Epoch: 3 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.66219 (0.67103) Boundary_loss: 0.013239 (0.013103) Loss: 0.67543 (0.68413) +2025-08-21,23:33:37 | INFO | Train Epoch: 3 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.72878 (0.67136) Boundary_loss: 0.013158 (0.013104) Loss: 0.74194 (0.68447) +2025-08-21,23:34:42 | INFO | Train Epoch: 3 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.71430 (0.67161) Boundary_loss: 0.013084 (0.013104) Loss: 0.72739 (0.68471) +2025-08-21,23:35:48 | INFO | Train Epoch: 3 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.59242 (0.67116) Boundary_loss: 0.013095 (0.013104) Loss: 0.60551 (0.68426) +2025-08-21,23:36:53 | INFO | Train Epoch: 3 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.65330 (0.67106) Boundary_loss: 0.013106 (0.013104) Loss: 0.66641 (0.68416) +2025-08-21,23:37:58 | INFO | Train Epoch: 3 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.59995 (0.67066) Boundary_loss: 0.013200 (0.013104) Loss: 0.61315 (0.68376) +2025-08-21,23:39:03 | INFO | Train Epoch: 3 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.75052 (0.67110) Boundary_loss: 0.013101 (0.013104) Loss: 0.76362 (0.68421) +2025-08-21,23:40:09 | INFO | Train Epoch: 3 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.70976 (0.67132) Boundary_loss: 0.013034 (0.013104) Loss: 0.72280 (0.68442) +2025-08-21,23:41:14 | INFO | Train Epoch: 3 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.74620 (0.67174) Boundary_loss: 0.013141 (0.013104) Loss: 0.75934 (0.68484) +2025-08-21,23:42:19 | INFO | Train Epoch: 3 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.615 Boundary Ratio: 0.100 Contrastive_loss: 0.62733 (0.67149) Boundary_loss: 0.013200 (0.013104) Loss: 0.64053 (0.68460) +2025-08-21,23:43:24 | INFO | Train Epoch: 3 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.69524 (0.67162) Boundary_loss: 0.013085 (0.013104) Loss: 0.70833 (0.68473) +2025-08-21,23:44:30 | INFO | Train Epoch: 3 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 0.69189 (0.67173) Boundary_loss: 0.013060 (0.013104) Loss: 0.70495 (0.68484) +2025-08-21,23:45:35 | INFO | Train Epoch: 3 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.57088 (0.67118) Boundary_loss: 0.013156 (0.013104) Loss: 0.58404 (0.68429) +2025-08-21,23:46:40 | INFO | Train Epoch: 3 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.76493 (0.67169) Boundary_loss: 0.012987 (0.013104) Loss: 0.77791 (0.68479) +2025-08-21,23:47:45 | INFO | Train Epoch: 3 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.578 Boundary Ratio: 0.100 Contrastive_loss: 0.63228 (0.67148) Boundary_loss: 0.013172 (0.013104) Loss: 0.64545 (0.68458) +2025-08-21,23:48:51 | INFO | Train Epoch: 3 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.69887 (0.67163) Boundary_loss: 0.013147 (0.013104) Loss: 0.71202 (0.68473) +2025-08-21,23:49:56 | INFO | Train Epoch: 3 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.62125 (0.67136) Boundary_loss: 0.013009 (0.013104) Loss: 0.63426 (0.68446) +2025-08-21,23:51:01 | INFO | Train Epoch: 3 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.66605 (0.67133) Boundary_loss: 0.013204 (0.013104) Loss: 0.67926 (0.68443) +2025-08-21,23:52:06 | INFO | Train Epoch: 3 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.59252 (0.67091) Boundary_loss: 0.013038 (0.013104) Loss: 0.60555 (0.68402) +2025-08-21,23:53:11 | INFO | Train Epoch: 3 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.61701 (0.67063) Boundary_loss: 0.013160 (0.013104) Loss: 0.63017 (0.68374) +2025-08-21,23:54:17 | INFO | Train Epoch: 3 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.75716 (0.67108) Boundary_loss: 0.013039 (0.013104) Loss: 0.77020 (0.68419) +2025-08-21,23:55:22 | INFO | Train Epoch: 3 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.812 Boundary Ratio: 0.101 Contrastive_loss: 0.57569 (0.67059) Boundary_loss: 0.013119 (0.013104) Loss: 0.58881 (0.68369) +2025-08-21,23:56:27 | INFO | Train Epoch: 3 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.70900 (0.67079) Boundary_loss: 0.013012 (0.013104) Loss: 0.72201 (0.68389) +2025-08-21,23:57:32 | INFO | Train Epoch: 3 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.023 Boundary Ratio: 0.097 Contrastive_loss: 0.53076 (0.67007) Boundary_loss: 0.013021 (0.013103) Loss: 0.54378 (0.68317) +2025-08-21,23:58:38 | INFO | Train Epoch: 3 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.63467 (0.66989) Boundary_loss: 0.013080 (0.013103) Loss: 0.64775 (0.68299) +2025-08-21,23:59:43 | INFO | Train Epoch: 3 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.66844 (0.66988) Boundary_loss: 0.013177 (0.013103) Loss: 0.68162 (0.68298) +2025-08-22,00:00:48 | INFO | Train Epoch: 3 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.63652 (0.66971) Boundary_loss: 0.013030 (0.013103) Loss: 0.64955 (0.68282) +2025-08-22,00:01:53 | INFO | Train Epoch: 3 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.63021 (0.66951) Boundary_loss: 0.013036 (0.013103) Loss: 0.64325 (0.68262) +2025-08-22,00:02:58 | INFO | Train Epoch: 3 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.63732 (0.66935) Boundary_loss: 0.013236 (0.013103) Loss: 0.65056 (0.68246) +2025-08-22,00:04:04 | INFO | Train Epoch: 3 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.58841 (0.66895) Boundary_loss: 0.013216 (0.013104) Loss: 0.60162 (0.68205) +2025-08-22,00:05:09 | INFO | Train Epoch: 3 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.61864 (0.66870) Boundary_loss: 0.013192 (0.013104) Loss: 0.63183 (0.68181) +2025-08-22,00:06:14 | INFO | Train Epoch: 3 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.72357 (0.66897) Boundary_loss: 0.013120 (0.013104) Loss: 0.73669 (0.68208) +2025-08-22,00:07:19 | INFO | Train Epoch: 3 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.66409 (0.66895) Boundary_loss: 0.013183 (0.013105) Loss: 0.67727 (0.68205) +2025-08-22,00:08:24 | INFO | Train Epoch: 3 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.58932 (0.66856) Boundary_loss: 0.013017 (0.013104) Loss: 0.60234 (0.68166) +2025-08-22,00:09:30 | INFO | Train Epoch: 3 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.55337 (0.66800) Boundary_loss: 0.013020 (0.013104) Loss: 0.56639 (0.68110) +2025-08-22,00:10:35 | INFO | Train Epoch: 3 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.56105 (0.66748) Boundary_loss: 0.013053 (0.013104) Loss: 0.57411 (0.68059) +2025-08-22,00:11:40 | INFO | Train Epoch: 3 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.63731 (0.66734) Boundary_loss: 0.013124 (0.013104) Loss: 0.65043 (0.68044) +2025-08-22,00:12:45 | INFO | Train Epoch: 3 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 0.63562 (0.66719) Boundary_loss: 0.013083 (0.013104) Loss: 0.64870 (0.68029) +2025-08-22,00:13:51 | INFO | Train Epoch: 3 [10701312/26365952 (41%)] Avg Boundaries (per batch): 18.914 Boundary Ratio: 0.097 Contrastive_loss: 0.63190 (0.66702) Boundary_loss: 0.013028 (0.013103) Loss: 0.64492 (0.68012) +2025-08-22,00:14:56 | INFO | Train Epoch: 3 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.62153 (0.66680) Boundary_loss: 0.013185 (0.013104) Loss: 0.63471 (0.67991) +2025-08-22,00:16:01 | INFO | Train Epoch: 3 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.75070 (0.66720) Boundary_loss: 0.013127 (0.013104) Loss: 0.76383 (0.68030) +2025-08-22,00:17:06 | INFO | Train Epoch: 3 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.64970 (0.66712) Boundary_loss: 0.013160 (0.013104) Loss: 0.66286 (0.68022) +2025-08-22,00:18:11 | INFO | Train Epoch: 3 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.61018 (0.66685) Boundary_loss: 0.013036 (0.013104) Loss: 0.62321 (0.67995) +2025-08-22,00:19:17 | INFO | Train Epoch: 3 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.59290 (0.66651) Boundary_loss: 0.013242 (0.013104) Loss: 0.60614 (0.67961) +2025-08-22,00:20:22 | INFO | Train Epoch: 3 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.64189 (0.66639) Boundary_loss: 0.013254 (0.013105) Loss: 0.65514 (0.67950) +2025-08-22,00:21:27 | INFO | Train Epoch: 3 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.68182 (0.66646) Boundary_loss: 0.013072 (0.013105) Loss: 0.69489 (0.67957) +2025-08-22,00:22:32 | INFO | Train Epoch: 3 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.63047 (0.66630) Boundary_loss: 0.013051 (0.013105) Loss: 0.64352 (0.67940) +2025-08-22,00:23:37 | INFO | Train Epoch: 3 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.615 Boundary Ratio: 0.100 Contrastive_loss: 0.68462 (0.66638) Boundary_loss: 0.012950 (0.013104) Loss: 0.69757 (0.67949) +2025-08-22,00:24:43 | INFO | Train Epoch: 3 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.57009 (0.66594) Boundary_loss: 0.013103 (0.013104) Loss: 0.58319 (0.67905) +2025-08-22,00:25:48 | INFO | Train Epoch: 3 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.664 Boundary Ratio: 0.100 Contrastive_loss: 0.69432 (0.66607) Boundary_loss: 0.013237 (0.013105) Loss: 0.70756 (0.67918) +2025-08-22,00:26:53 | INFO | Train Epoch: 3 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.62091 (0.66587) Boundary_loss: 0.013048 (0.013104) Loss: 0.63396 (0.67897) +2025-08-22,00:27:58 | INFO | Train Epoch: 3 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.57932 (0.66548) Boundary_loss: 0.013012 (0.013104) Loss: 0.59234 (0.67858) +2025-08-22,00:29:04 | INFO | Train Epoch: 3 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.63353 (0.66534) Boundary_loss: 0.013159 (0.013104) Loss: 0.64669 (0.67844) +2025-08-22,00:30:09 | INFO | Train Epoch: 3 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.57562 (0.66494) Boundary_loss: 0.012980 (0.013104) Loss: 0.58860 (0.67804) +2025-08-22,00:31:14 | INFO | Train Epoch: 3 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.68847 (0.66504) Boundary_loss: 0.013078 (0.013104) Loss: 0.70155 (0.67815) +2025-08-22,00:32:19 | INFO | Train Epoch: 3 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 0.62442 (0.66486) Boundary_loss: 0.013138 (0.013104) Loss: 0.63756 (0.67797) +2025-08-22,00:33:24 | INFO | Train Epoch: 3 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.570 Boundary Ratio: 0.100 Contrastive_loss: 0.74066 (0.66520) Boundary_loss: 0.013224 (0.013104) Loss: 0.75388 (0.67830) +2025-08-22,00:34:30 | INFO | Train Epoch: 3 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.68465 (0.66528) Boundary_loss: 0.013065 (0.013104) Loss: 0.69771 (0.67839) +2025-08-22,00:35:35 | INFO | Train Epoch: 3 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.63355 (0.66514) Boundary_loss: 0.013140 (0.013104) Loss: 0.64669 (0.67825) +2025-08-22,00:36:40 | INFO | Train Epoch: 3 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.75295 (0.66552) Boundary_loss: 0.013166 (0.013104) Loss: 0.76612 (0.67863) +2025-08-22,00:37:45 | INFO | Train Epoch: 3 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.65710 (0.66549) Boundary_loss: 0.013121 (0.013105) Loss: 0.67023 (0.67859) +2025-08-22,00:38:50 | INFO | Train Epoch: 3 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.61485 (0.66527) Boundary_loss: 0.013147 (0.013105) Loss: 0.62800 (0.67838) +2025-08-22,00:39:56 | INFO | Train Epoch: 3 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.73505 (0.66557) Boundary_loss: 0.013208 (0.013105) Loss: 0.74825 (0.67867) +2025-08-22,00:41:01 | INFO | Train Epoch: 3 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.66219 (0.66555) Boundary_loss: 0.013104 (0.013105) Loss: 0.67529 (0.67866) +2025-08-22,00:42:06 | INFO | Train Epoch: 3 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.63445 (0.66542) Boundary_loss: 0.013164 (0.013105) Loss: 0.64761 (0.67853) +2025-08-22,00:43:11 | INFO | Train Epoch: 3 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.67295 (0.66545) Boundary_loss: 0.013114 (0.013105) Loss: 0.68607 (0.67856) +2025-08-22,00:44:17 | INFO | Train Epoch: 3 [12134912/26365952 (46%)] Avg Boundaries (per batch): 18.912 Boundary Ratio: 0.096 Contrastive_loss: 0.67143 (0.66548) Boundary_loss: 0.012995 (0.013105) Loss: 0.68443 (0.67858) +2025-08-22,00:45:22 | INFO | Train Epoch: 3 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.543 Boundary Ratio: 0.100 Contrastive_loss: 0.74524 (0.66581) Boundary_loss: 0.013269 (0.013106) Loss: 0.75851 (0.67892) +2025-08-22,00:46:27 | INFO | Train Epoch: 3 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.54943 (0.66533) Boundary_loss: 0.012997 (0.013105) Loss: 0.56242 (0.67843) +2025-08-22,00:47:32 | INFO | Train Epoch: 3 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.588 Boundary Ratio: 0.100 Contrastive_loss: 0.70832 (0.66551) Boundary_loss: 0.013129 (0.013105) Loss: 0.72145 (0.67861) +2025-08-22,00:48:38 | INFO | Train Epoch: 3 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.568 Boundary Ratio: 0.100 Contrastive_loss: 0.69306 (0.66562) Boundary_loss: 0.013097 (0.013105) Loss: 0.70616 (0.67873) +2025-08-22,00:49:43 | INFO | Train Epoch: 3 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.60246 (0.66536) Boundary_loss: 0.013167 (0.013106) Loss: 0.61563 (0.67847) +2025-08-22,00:50:48 | INFO | Train Epoch: 3 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.64518 (0.66528) Boundary_loss: 0.013096 (0.013105) Loss: 0.65827 (0.67838) +2025-08-22,00:51:53 | INFO | Train Epoch: 3 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.58743 (0.66496) Boundary_loss: 0.013071 (0.013105) Loss: 0.60050 (0.67807) +2025-08-22,00:52:59 | INFO | Train Epoch: 3 [12544512/26365952 (48%)] Avg Boundaries (per batch): 18.840 Boundary Ratio: 0.096 Contrastive_loss: 0.65100 (0.66490) Boundary_loss: 0.013110 (0.013105) Loss: 0.66411 (0.67801) +2025-08-22,00:54:04 | INFO | Train Epoch: 3 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.62196 (0.66473) Boundary_loss: 0.013030 (0.013105) Loss: 0.63499 (0.67783) +2025-08-22,00:55:09 | INFO | Train Epoch: 3 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.71650 (0.66494) Boundary_loss: 0.013205 (0.013105) Loss: 0.72970 (0.67804) +2025-08-22,00:56:15 | INFO | Train Epoch: 3 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.59816 (0.66467) Boundary_loss: 0.013032 (0.013105) Loss: 0.61120 (0.67778) +2025-08-22,00:57:20 | INFO | Train Epoch: 3 [12749312/26365952 (48%)] Avg Boundaries (per batch): 18.980 Boundary Ratio: 0.097 Contrastive_loss: 0.58646 (0.66436) Boundary_loss: 0.013117 (0.013105) Loss: 0.59958 (0.67746) +2025-08-22,00:58:25 | INFO | Train Epoch: 3 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.66924 (0.66438) Boundary_loss: 0.012980 (0.013105) Loss: 0.68222 (0.67748) +2025-08-22,00:59:30 | INFO | Train Epoch: 3 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.59142 (0.66409) Boundary_loss: 0.013055 (0.013105) Loss: 0.60448 (0.67719) +2025-08-22,01:00:35 | INFO | Train Epoch: 3 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.73516 (0.66437) Boundary_loss: 0.013117 (0.013105) Loss: 0.74827 (0.67747) +2025-08-22,01:01:41 | INFO | Train Epoch: 3 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.63448 (0.66425) Boundary_loss: 0.013170 (0.013105) Loss: 0.64765 (0.67736) +2025-08-22,01:02:46 | INFO | Train Epoch: 3 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.74072 (0.66455) Boundary_loss: 0.013124 (0.013105) Loss: 0.75384 (0.67766) +2025-08-22,01:03:51 | INFO | Train Epoch: 3 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.551 Boundary Ratio: 0.100 Contrastive_loss: 0.60659 (0.66432) Boundary_loss: 0.013031 (0.013105) Loss: 0.61962 (0.67743) +2025-08-22,01:04:56 | INFO | Train Epoch: 3 [13107712/26365952 (50%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 0.64414 (0.66425) Boundary_loss: 0.013063 (0.013104) Loss: 0.65720 (0.67735) +2025-08-22,01:06:02 | INFO | Train Epoch: 3 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.72470 (0.66448) Boundary_loss: 0.013060 (0.013104) Loss: 0.73776 (0.67758) +2025-08-22,01:07:07 | INFO | Train Epoch: 3 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.678 Boundary Ratio: 0.100 Contrastive_loss: 0.62748 (0.66434) Boundary_loss: 0.013146 (0.013104) Loss: 0.64063 (0.67744) +2025-08-22,01:08:12 | INFO | Train Epoch: 3 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.54785 (0.66389) Boundary_loss: 0.012965 (0.013104) Loss: 0.56081 (0.67699) +2025-08-22,01:09:17 | INFO | Train Epoch: 3 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.59194 (0.66361) Boundary_loss: 0.013076 (0.013104) Loss: 0.60502 (0.67672) +2025-08-22,01:10:23 | INFO | Train Epoch: 3 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.63081 (0.66349) Boundary_loss: 0.013027 (0.013104) Loss: 0.64384 (0.67659) +2025-08-22,01:11:28 | INFO | Train Epoch: 3 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.629 Boundary Ratio: 0.100 Contrastive_loss: 0.70090 (0.66363) Boundary_loss: 0.013040 (0.013103) Loss: 0.71394 (0.67673) +2025-08-22,01:12:33 | INFO | Train Epoch: 3 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.59358 (0.66336) Boundary_loss: 0.013067 (0.013103) Loss: 0.60665 (0.67647) +2025-08-22,01:13:38 | INFO | Train Epoch: 3 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.53746 (0.66289) Boundary_loss: 0.013207 (0.013104) Loss: 0.55067 (0.67599) +2025-08-22,01:14:44 | INFO | Train Epoch: 3 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.68460 (0.66297) Boundary_loss: 0.013129 (0.013104) Loss: 0.69773 (0.67607) +2025-08-22,01:15:49 | INFO | Train Epoch: 3 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.66595 (0.66298) Boundary_loss: 0.013014 (0.013103) Loss: 0.67897 (0.67609) +2025-08-22,01:16:54 | INFO | Train Epoch: 3 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.63258 (0.66287) Boundary_loss: 0.012963 (0.013103) Loss: 0.64554 (0.67597) +2025-08-22,01:17:59 | INFO | Train Epoch: 3 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.62096 (0.66271) Boundary_loss: 0.013115 (0.013103) Loss: 0.63408 (0.67582) +2025-08-22,01:19:05 | INFO | Train Epoch: 3 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.71336 (0.66290) Boundary_loss: 0.012996 (0.013102) Loss: 0.72635 (0.67600) +2025-08-22,01:20:10 | INFO | Train Epoch: 3 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.60756 (0.66270) Boundary_loss: 0.013103 (0.013102) Loss: 0.62067 (0.67580) +2025-08-22,01:21:15 | INFO | Train Epoch: 3 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.70755 (0.66286) Boundary_loss: 0.013136 (0.013103) Loss: 0.72068 (0.67596) +2025-08-22,01:22:20 | INFO | Train Epoch: 3 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.55676 (0.66247) Boundary_loss: 0.013126 (0.013103) Loss: 0.56989 (0.67558) +2025-08-22,01:23:25 | INFO | Train Epoch: 3 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.51414 (0.66193) Boundary_loss: 0.013182 (0.013103) Loss: 0.52732 (0.67503) +2025-08-22,01:24:31 | INFO | Train Epoch: 3 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.55949 (0.66156) Boundary_loss: 0.013045 (0.013103) Loss: 0.57254 (0.67466) +2025-08-22,01:25:36 | INFO | Train Epoch: 3 [14080512/26365952 (53%)] Avg Boundaries (per batch): 18.902 Boundary Ratio: 0.096 Contrastive_loss: 0.59976 (0.66134) Boundary_loss: 0.013074 (0.013103) Loss: 0.61284 (0.67444) +2025-08-22,01:26:41 | INFO | Train Epoch: 3 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.55314 (0.66094) Boundary_loss: 0.013162 (0.013103) Loss: 0.56630 (0.67405) +2025-08-22,01:27:46 | INFO | Train Epoch: 3 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.621 Boundary Ratio: 0.100 Contrastive_loss: 0.58543 (0.66067) Boundary_loss: 0.013176 (0.013103) Loss: 0.59860 (0.67378) +2025-08-22,01:28:52 | INFO | Train Epoch: 3 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.74714 (0.66098) Boundary_loss: 0.013163 (0.013103) Loss: 0.76030 (0.67409) +2025-08-22,01:29:57 | INFO | Train Epoch: 3 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.596 Boundary Ratio: 0.100 Contrastive_loss: 0.66992 (0.66101) Boundary_loss: 0.013065 (0.013103) Loss: 0.68299 (0.67412) +2025-08-22,01:31:02 | INFO | Train Epoch: 3 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.60123 (0.66080) Boundary_loss: 0.013185 (0.013103) Loss: 0.61441 (0.67391) +2025-08-22,01:32:07 | INFO | Train Epoch: 3 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.59086 (0.66055) Boundary_loss: 0.013174 (0.013104) Loss: 0.60404 (0.67366) +2025-08-22,01:33:13 | INFO | Train Epoch: 3 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.67337 (0.66060) Boundary_loss: 0.012993 (0.013103) Loss: 0.68637 (0.67370) +2025-08-22,01:34:18 | INFO | Train Epoch: 3 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.66907 (0.66063) Boundary_loss: 0.013108 (0.013103) Loss: 0.68218 (0.67373) +2025-08-22,01:35:23 | INFO | Train Epoch: 3 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.63285 (0.66053) Boundary_loss: 0.013163 (0.013104) Loss: 0.64601 (0.67364) +2025-08-22,01:36:28 | INFO | Train Epoch: 3 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.65694 (0.66052) Boundary_loss: 0.013240 (0.013104) Loss: 0.67018 (0.67362) +2025-08-22,01:37:34 | INFO | Train Epoch: 3 [14643712/26365952 (56%)] Avg Boundaries (per batch): 18.877 Boundary Ratio: 0.096 Contrastive_loss: 0.57576 (0.66022) Boundary_loss: 0.013178 (0.013104) Loss: 0.58894 (0.67333) +2025-08-22,01:38:39 | INFO | Train Epoch: 3 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.64070 (0.66016) Boundary_loss: 0.013071 (0.013104) Loss: 0.65378 (0.67326) +2025-08-22,01:39:44 | INFO | Train Epoch: 3 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.578 Boundary Ratio: 0.100 Contrastive_loss: 0.56501 (0.65983) Boundary_loss: 0.013088 (0.013104) Loss: 0.57810 (0.67293) +2025-08-22,01:40:49 | INFO | Train Epoch: 3 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.51301 (0.65932) Boundary_loss: 0.013190 (0.013104) Loss: 0.52620 (0.67242) +2025-08-22,01:41:55 | INFO | Train Epoch: 3 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.64777 (0.65928) Boundary_loss: 0.012992 (0.013104) Loss: 0.66076 (0.67238) +2025-08-22,01:43:00 | INFO | Train Epoch: 3 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.64707 (0.65924) Boundary_loss: 0.013096 (0.013104) Loss: 0.66016 (0.67234) +2025-08-22,01:44:05 | INFO | Train Epoch: 3 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.65228 (0.65922) Boundary_loss: 0.013127 (0.013104) Loss: 0.66541 (0.67232) +2025-08-22,01:45:10 | INFO | Train Epoch: 3 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.53626 (0.65880) Boundary_loss: 0.013148 (0.013104) Loss: 0.54941 (0.67190) +2025-08-22,01:46:16 | INFO | Train Epoch: 3 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.666 Boundary Ratio: 0.100 Contrastive_loss: 0.74634 (0.65909) Boundary_loss: 0.013152 (0.013104) Loss: 0.75949 (0.67220) +2025-08-22,01:47:21 | INFO | Train Epoch: 3 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.60031 (0.65890) Boundary_loss: 0.012997 (0.013104) Loss: 0.61330 (0.67200) +2025-08-22,01:48:26 | INFO | Train Epoch: 3 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.66058 (0.65890) Boundary_loss: 0.013124 (0.013104) Loss: 0.67370 (0.67200) +2025-08-22,01:49:31 | INFO | Train Epoch: 3 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.56677 (0.65859) Boundary_loss: 0.013007 (0.013104) Loss: 0.57978 (0.67170) +2025-08-22,01:50:37 | INFO | Train Epoch: 3 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.59718 (0.65839) Boundary_loss: 0.013018 (0.013103) Loss: 0.61019 (0.67149) +2025-08-22,01:51:42 | INFO | Train Epoch: 3 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.56256 (0.65807) Boundary_loss: 0.013063 (0.013103) Loss: 0.57562 (0.67117) +2025-08-22,01:52:47 | INFO | Train Epoch: 3 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.604 Boundary Ratio: 0.100 Contrastive_loss: 0.67691 (0.65813) Boundary_loss: 0.013003 (0.013103) Loss: 0.68991 (0.67123) +2025-08-22,01:53:52 | INFO | Train Epoch: 3 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.81174 (0.65864) Boundary_loss: 0.013043 (0.013103) Loss: 0.82478 (0.67174) +2025-08-22,01:54:58 | INFO | Train Epoch: 3 [15462912/26365952 (59%)] Avg Boundaries (per batch): 18.982 Boundary Ratio: 0.097 Contrastive_loss: 0.64028 (0.65858) Boundary_loss: 0.013066 (0.013103) Loss: 0.65334 (0.67168) +2025-08-22,01:56:03 | INFO | Train Epoch: 3 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.67327 (0.65863) Boundary_loss: 0.013118 (0.013103) Loss: 0.68639 (0.67173) +2025-08-22,01:57:08 | INFO | Train Epoch: 3 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.62562 (0.65852) Boundary_loss: 0.013211 (0.013103) Loss: 0.63883 (0.67162) +2025-08-22,01:58:13 | INFO | Train Epoch: 3 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.697 Boundary Ratio: 0.100 Contrastive_loss: 0.57390 (0.65824) Boundary_loss: 0.013185 (0.013103) Loss: 0.58708 (0.67134) +2025-08-22,01:59:19 | INFO | Train Epoch: 3 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.56987 (0.65795) Boundary_loss: 0.013059 (0.013103) Loss: 0.58293 (0.67106) +2025-08-22,02:00:24 | INFO | Train Epoch: 3 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.73831 (0.65821) Boundary_loss: 0.013055 (0.013103) Loss: 0.75137 (0.67132) +2025-08-22,02:01:29 | INFO | Train Epoch: 3 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 0.65020 (0.65819) Boundary_loss: 0.013077 (0.013103) Loss: 0.66328 (0.67129) +2025-08-22,02:02:34 | INFO | Train Epoch: 3 [15821312/26365952 (60%)] Avg Boundaries (per batch): 18.988 Boundary Ratio: 0.097 Contrastive_loss: 0.63069 (0.65810) Boundary_loss: 0.013126 (0.013103) Loss: 0.64382 (0.67120) +2025-08-22,02:03:39 | INFO | Train Epoch: 3 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.64041 (0.65804) Boundary_loss: 0.013147 (0.013103) Loss: 0.65356 (0.67115) +2025-08-22,02:04:45 | INFO | Train Epoch: 3 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.70308 (0.65819) Boundary_loss: 0.013003 (0.013103) Loss: 0.71608 (0.67129) +2025-08-22,02:05:50 | INFO | Train Epoch: 3 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.67030 (0.65823) Boundary_loss: 0.013130 (0.013103) Loss: 0.68343 (0.67133) +2025-08-22,02:06:55 | INFO | Train Epoch: 3 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.60501 (0.65806) Boundary_loss: 0.013018 (0.013103) Loss: 0.61803 (0.67116) +2025-08-22,02:08:00 | INFO | Train Epoch: 3 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.809 Boundary Ratio: 0.101 Contrastive_loss: 0.69784 (0.65818) Boundary_loss: 0.013156 (0.013103) Loss: 0.71099 (0.67129) +2025-08-22,02:09:05 | INFO | Train Epoch: 3 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.65017 (0.65816) Boundary_loss: 0.013108 (0.013103) Loss: 0.66327 (0.67126) +2025-08-22,02:10:11 | INFO | Train Epoch: 3 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.72527 (0.65837) Boundary_loss: 0.013084 (0.013103) Loss: 0.73835 (0.67147) +2025-08-22,02:11:16 | INFO | Train Epoch: 3 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.52749 (0.65796) Boundary_loss: 0.013175 (0.013103) Loss: 0.54067 (0.67106) +2025-08-22,02:12:21 | INFO | Train Epoch: 3 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.70549 (0.65811) Boundary_loss: 0.013039 (0.013103) Loss: 0.71852 (0.67121) +2025-08-22,02:13:26 | INFO | Train Epoch: 3 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.66809 (0.65814) Boundary_loss: 0.013073 (0.013103) Loss: 0.68116 (0.67124) +2025-08-22,02:14:32 | INFO | Train Epoch: 3 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.63189 (0.65806) Boundary_loss: 0.012968 (0.013102) Loss: 0.64485 (0.67116) +2025-08-22,02:15:37 | INFO | Train Epoch: 3 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.924 Boundary Ratio: 0.102 Contrastive_loss: 0.61815 (0.65793) Boundary_loss: 0.013140 (0.013102) Loss: 0.63129 (0.67103) +2025-08-22,02:16:42 | INFO | Train Epoch: 3 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.57158 (0.65766) Boundary_loss: 0.013098 (0.013102) Loss: 0.58468 (0.67077) +2025-08-22,02:17:47 | INFO | Train Epoch: 3 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 0.73870 (0.65791) Boundary_loss: 0.013067 (0.013102) Loss: 0.75177 (0.67102) +2025-08-22,02:18:52 | INFO | Train Epoch: 3 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.64949 (0.65789) Boundary_loss: 0.013179 (0.013103) Loss: 0.66267 (0.67099) +2025-08-22,02:19:58 | INFO | Train Epoch: 3 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.63020 (0.65780) Boundary_loss: 0.013019 (0.013102) Loss: 0.64322 (0.67091) +2025-08-22,02:21:03 | INFO | Train Epoch: 3 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.594 Boundary Ratio: 0.100 Contrastive_loss: 0.64318 (0.65776) Boundary_loss: 0.013081 (0.013102) Loss: 0.65626 (0.67086) +2025-08-22,02:22:08 | INFO | Train Epoch: 3 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.62655 (0.65766) Boundary_loss: 0.013077 (0.013102) Loss: 0.63963 (0.67077) +2025-08-22,02:23:14 | INFO | Train Epoch: 3 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.58543 (0.65744) Boundary_loss: 0.013128 (0.013102) Loss: 0.59855 (0.67055) +2025-08-22,02:24:19 | INFO | Train Epoch: 3 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.68334 (0.65752) Boundary_loss: 0.013182 (0.013102) Loss: 0.69652 (0.67063) +2025-08-22,02:25:24 | INFO | Train Epoch: 3 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.53481 (0.65715) Boundary_loss: 0.013020 (0.013102) Loss: 0.54783 (0.67025) +2025-08-22,02:26:29 | INFO | Train Epoch: 3 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.58959 (0.65695) Boundary_loss: 0.013125 (0.013102) Loss: 0.60272 (0.67005) +2025-08-22,02:27:35 | INFO | Train Epoch: 3 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.65658 (0.65695) Boundary_loss: 0.013017 (0.013102) Loss: 0.66959 (0.67005) +2025-08-22,02:28:40 | INFO | Train Epoch: 3 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.66266 (0.65696) Boundary_loss: 0.013178 (0.013102) Loss: 0.67584 (0.67007) +2025-08-22,02:29:45 | INFO | Train Epoch: 3 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.58503 (0.65675) Boundary_loss: 0.013145 (0.013102) Loss: 0.59818 (0.66985) +2025-08-22,02:30:50 | INFO | Train Epoch: 3 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.62119 (0.65664) Boundary_loss: 0.012975 (0.013102) Loss: 0.63416 (0.66975) +2025-08-22,02:31:56 | INFO | Train Epoch: 3 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.639 Boundary Ratio: 0.100 Contrastive_loss: 0.60854 (0.65650) Boundary_loss: 0.013059 (0.013102) Loss: 0.62160 (0.66960) +2025-08-22,02:33:01 | INFO | Train Epoch: 3 [17254912/26365952 (65%)] Avg Boundaries (per batch): 18.955 Boundary Ratio: 0.097 Contrastive_loss: 0.74835 (0.65677) Boundary_loss: 0.013214 (0.013102) Loss: 0.76156 (0.66988) +2025-08-22,02:34:06 | INFO | Train Epoch: 3 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.621 Boundary Ratio: 0.100 Contrastive_loss: 0.67093 (0.65681) Boundary_loss: 0.013119 (0.013102) Loss: 0.68405 (0.66992) +2025-08-22,02:35:11 | INFO | Train Epoch: 3 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.65765 (0.65682) Boundary_loss: 0.013119 (0.013102) Loss: 0.67077 (0.66992) +2025-08-22,02:36:17 | INFO | Train Epoch: 3 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.615 Boundary Ratio: 0.100 Contrastive_loss: 0.59292 (0.65663) Boundary_loss: 0.013257 (0.013103) Loss: 0.60618 (0.66973) +2025-08-22,02:37:22 | INFO | Train Epoch: 3 [17459712/26365952 (66%)] Avg Boundaries (per batch): 18.893 Boundary Ratio: 0.096 Contrastive_loss: 0.68023 (0.65670) Boundary_loss: 0.013177 (0.013103) Loss: 0.69341 (0.66980) +2025-08-22,02:38:27 | INFO | Train Epoch: 3 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.666 Boundary Ratio: 0.100 Contrastive_loss: 0.51175 (0.65628) Boundary_loss: 0.013100 (0.013103) Loss: 0.52484 (0.66938) +2025-08-22,02:39:32 | INFO | Train Epoch: 3 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.61583 (0.65616) Boundary_loss: 0.013128 (0.013103) Loss: 0.62896 (0.66926) +2025-08-22,02:40:37 | INFO | Train Epoch: 3 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.59236 (0.65597) Boundary_loss: 0.013149 (0.013103) Loss: 0.60551 (0.66908) +2025-08-22,02:41:43 | INFO | Train Epoch: 3 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.63017 (0.65590) Boundary_loss: 0.013098 (0.013103) Loss: 0.64327 (0.66900) +2025-08-22,02:42:48 | INFO | Train Epoch: 3 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.67778 (0.65596) Boundary_loss: 0.013072 (0.013103) Loss: 0.69085 (0.66907) +2025-08-22,02:43:53 | INFO | Train Epoch: 3 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.57216 (0.65572) Boundary_loss: 0.013186 (0.013103) Loss: 0.58534 (0.66882) +2025-08-22,02:44:58 | INFO | Train Epoch: 3 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.71099 (0.65588) Boundary_loss: 0.012910 (0.013103) Loss: 0.72390 (0.66898) +2025-08-22,02:46:04 | INFO | Train Epoch: 3 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.66759 (0.65591) Boundary_loss: 0.013081 (0.013103) Loss: 0.68067 (0.66902) +2025-08-22,02:47:09 | INFO | Train Epoch: 3 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.56537 (0.65566) Boundary_loss: 0.013147 (0.013103) Loss: 0.57851 (0.66876) +2025-08-22,02:48:14 | INFO | Train Epoch: 3 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.58848 (0.65546) Boundary_loss: 0.013078 (0.013103) Loss: 0.60155 (0.66857) +2025-08-22,02:49:19 | INFO | Train Epoch: 3 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.53974 (0.65514) Boundary_loss: 0.013023 (0.013103) Loss: 0.55277 (0.66824) +2025-08-22,02:50:25 | INFO | Train Epoch: 3 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.58943 (0.65495) Boundary_loss: 0.013160 (0.013103) Loss: 0.60259 (0.66805) +2025-08-22,02:51:30 | INFO | Train Epoch: 3 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.59455 (0.65478) Boundary_loss: 0.013073 (0.013103) Loss: 0.60762 (0.66788) +2025-08-22,02:52:35 | INFO | Train Epoch: 3 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.66990 (0.65482) Boundary_loss: 0.013043 (0.013102) Loss: 0.68294 (0.66793) +2025-08-22,02:53:40 | INFO | Train Epoch: 3 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.62326 (0.65473) Boundary_loss: 0.013155 (0.013103) Loss: 0.63641 (0.66784) +2025-08-22,02:54:45 | INFO | Train Epoch: 3 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.65953 (0.65475) Boundary_loss: 0.013170 (0.013103) Loss: 0.67270 (0.66785) +2025-08-22,02:55:51 | INFO | Train Epoch: 3 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.64107 (0.65471) Boundary_loss: 0.013190 (0.013103) Loss: 0.65426 (0.66781) +2025-08-22,02:56:56 | INFO | Train Epoch: 3 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.63611 (0.65466) Boundary_loss: 0.013008 (0.013103) Loss: 0.64912 (0.66776) +2025-08-22,02:58:01 | INFO | Train Epoch: 3 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.62889 (0.65459) Boundary_loss: 0.013058 (0.013103) Loss: 0.64195 (0.66769) +2025-08-22,02:59:06 | INFO | Train Epoch: 3 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.54016 (0.65427) Boundary_loss: 0.013027 (0.013102) Loss: 0.55319 (0.66737) +2025-08-22,03:00:11 | INFO | Train Epoch: 3 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.629 Boundary Ratio: 0.100 Contrastive_loss: 0.61069 (0.65415) Boundary_loss: 0.013178 (0.013103) Loss: 0.62386 (0.66725) +2025-08-22,03:01:17 | INFO | Train Epoch: 3 [18586112/26365952 (70%)] Avg Boundaries (per batch): 18.705 Boundary Ratio: 0.095 Contrastive_loss: 0.54478 (0.65385) Boundary_loss: 0.013077 (0.013103) Loss: 0.55786 (0.66695) +2025-08-22,03:02:22 | INFO | Train Epoch: 3 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 0.69518 (0.65396) Boundary_loss: 0.013041 (0.013102) Loss: 0.70822 (0.66707) +2025-08-22,03:03:27 | INFO | Train Epoch: 3 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.62314 (0.65388) Boundary_loss: 0.012956 (0.013102) Loss: 0.63610 (0.66698) +2025-08-22,03:04:32 | INFO | Train Epoch: 3 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.64410 (0.65385) Boundary_loss: 0.013038 (0.013102) Loss: 0.65714 (0.66695) +2025-08-22,03:05:37 | INFO | Train Epoch: 3 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.719 Boundary Ratio: 0.101 Contrastive_loss: 0.63080 (0.65379) Boundary_loss: 0.013062 (0.013102) Loss: 0.64387 (0.66689) +2025-08-22,03:06:43 | INFO | Train Epoch: 3 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.65461 (0.65379) Boundary_loss: 0.013068 (0.013102) Loss: 0.66768 (0.66689) +2025-08-22,03:07:48 | INFO | Train Epoch: 3 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.52736 (0.65345) Boundary_loss: 0.013076 (0.013102) Loss: 0.54043 (0.66655) +2025-08-22,03:08:53 | INFO | Train Epoch: 3 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.705 Boundary Ratio: 0.101 Contrastive_loss: 0.57543 (0.65324) Boundary_loss: 0.013134 (0.013102) Loss: 0.58857 (0.66634) +2025-08-22,03:09:58 | INFO | Train Epoch: 3 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.67316 (0.65329) Boundary_loss: 0.012995 (0.013101) Loss: 0.68616 (0.66640) +2025-08-22,03:11:03 | INFO | Train Epoch: 3 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.60368 (0.65316) Boundary_loss: 0.012951 (0.013101) Loss: 0.61663 (0.66626) +2025-08-22,03:12:09 | INFO | Train Epoch: 3 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.62986 (0.65310) Boundary_loss: 0.013114 (0.013101) Loss: 0.64297 (0.66620) +2025-08-22,03:13:14 | INFO | Train Epoch: 3 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.51550 (0.65273) Boundary_loss: 0.013025 (0.013101) Loss: 0.52853 (0.66583) +2025-08-22,03:14:19 | INFO | Train Epoch: 3 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.54437 (0.65244) Boundary_loss: 0.013055 (0.013101) Loss: 0.55743 (0.66554) +2025-08-22,03:15:24 | INFO | Train Epoch: 3 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.57320 (0.65223) Boundary_loss: 0.013056 (0.013101) Loss: 0.58625 (0.66533) +2025-08-22,03:16:29 | INFO | Train Epoch: 3 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.57709 (0.65203) Boundary_loss: 0.013144 (0.013101) Loss: 0.59024 (0.66514) +2025-08-22,03:17:34 | INFO | Train Epoch: 3 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.65175 (0.65203) Boundary_loss: 0.013058 (0.013101) Loss: 0.66480 (0.66513) +2025-08-22,03:18:40 | INFO | Train Epoch: 3 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.68758 (0.65213) Boundary_loss: 0.013089 (0.013101) Loss: 0.70067 (0.66523) +2025-08-22,03:19:45 | INFO | Train Epoch: 3 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.64109 (0.65210) Boundary_loss: 0.013074 (0.013100) Loss: 0.65416 (0.66520) +2025-08-22,03:20:50 | INFO | Train Epoch: 3 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.76398 (0.65239) Boundary_loss: 0.013018 (0.013100) Loss: 0.77700 (0.66549) +2025-08-22,03:21:55 | INFO | Train Epoch: 3 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.59753 (0.65225) Boundary_loss: 0.013117 (0.013100) Loss: 0.61065 (0.66535) +2025-08-22,03:23:00 | INFO | Train Epoch: 3 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.582 Boundary Ratio: 0.100 Contrastive_loss: 0.63680 (0.65221) Boundary_loss: 0.013174 (0.013100) Loss: 0.64998 (0.66531) +2025-08-22,03:24:06 | INFO | Train Epoch: 3 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.55832 (0.65196) Boundary_loss: 0.013112 (0.013100) Loss: 0.57143 (0.66506) +2025-08-22,03:25:11 | INFO | Train Epoch: 3 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.62483 (0.65189) Boundary_loss: 0.012966 (0.013100) Loss: 0.63779 (0.66499) +2025-08-22,03:26:16 | INFO | Train Epoch: 3 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.68568 (0.65198) Boundary_loss: 0.013040 (0.013100) Loss: 0.69872 (0.66508) +2025-08-22,03:27:21 | INFO | Train Epoch: 3 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.53538 (0.65168) Boundary_loss: 0.013112 (0.013100) Loss: 0.54849 (0.66478) +2025-08-22,03:28:26 | INFO | Train Epoch: 3 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.49605 (0.65128) Boundary_loss: 0.013044 (0.013100) Loss: 0.50909 (0.66438) +2025-08-22,03:29:32 | INFO | Train Epoch: 3 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.55958 (0.65105) Boundary_loss: 0.013018 (0.013100) Loss: 0.57260 (0.66414) +2025-08-22,03:30:37 | INFO | Train Epoch: 3 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.64018 (0.65102) Boundary_loss: 0.013038 (0.013100) Loss: 0.65322 (0.66412) +2025-08-22,03:31:42 | INFO | Train Epoch: 3 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.63481 (0.65098) Boundary_loss: 0.013082 (0.013099) Loss: 0.64789 (0.66408) +2025-08-22,03:32:47 | INFO | Train Epoch: 3 [20070912/26365952 (76%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 0.58796 (0.65082) Boundary_loss: 0.013122 (0.013100) Loss: 0.60108 (0.66392) +2025-08-22,03:33:53 | INFO | Train Epoch: 3 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.62303 (0.65075) Boundary_loss: 0.013097 (0.013100) Loss: 0.63612 (0.66384) +2025-08-22,03:34:58 | INFO | Train Epoch: 3 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.65854 (0.65076) Boundary_loss: 0.013041 (0.013099) Loss: 0.67158 (0.66386) +2025-08-22,03:36:03 | INFO | Train Epoch: 3 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.55759 (0.65053) Boundary_loss: 0.013064 (0.013099) Loss: 0.57065 (0.66363) +2025-08-22,03:37:08 | INFO | Train Epoch: 3 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.60742 (0.65042) Boundary_loss: 0.013062 (0.013099) Loss: 0.62048 (0.66352) +2025-08-22,03:38:13 | INFO | Train Epoch: 3 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.65278 (0.65043) Boundary_loss: 0.013065 (0.013099) Loss: 0.66585 (0.66353) +2025-08-22,03:39:19 | INFO | Train Epoch: 3 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.58109 (0.65025) Boundary_loss: 0.013184 (0.013099) Loss: 0.59427 (0.66335) +2025-08-22,03:40:24 | INFO | Train Epoch: 3 [20429312/26365952 (77%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 0.65342 (0.65026) Boundary_loss: 0.013040 (0.013099) Loss: 0.66646 (0.66336) +2025-08-22,03:41:29 | INFO | Train Epoch: 3 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.57972 (0.65009) Boundary_loss: 0.013090 (0.013099) Loss: 0.59281 (0.66318) +2025-08-22,03:42:34 | INFO | Train Epoch: 3 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.66519 (0.65012) Boundary_loss: 0.013082 (0.013099) Loss: 0.67828 (0.66322) +2025-08-22,03:43:39 | INFO | Train Epoch: 3 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.62454 (0.65006) Boundary_loss: 0.013273 (0.013100) Loss: 0.63781 (0.66316) +2025-08-22,03:44:45 | INFO | Train Epoch: 3 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.59498 (0.64992) Boundary_loss: 0.013174 (0.013100) Loss: 0.60816 (0.66302) +2025-08-22,03:45:50 | INFO | Train Epoch: 3 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.67796 (0.64999) Boundary_loss: 0.013211 (0.013100) Loss: 0.69117 (0.66309) +2025-08-22,03:46:55 | INFO | Train Epoch: 3 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.64053 (0.64997) Boundary_loss: 0.013104 (0.013100) Loss: 0.65363 (0.66307) +2025-08-22,03:48:00 | INFO | Train Epoch: 3 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.53938 (0.64970) Boundary_loss: 0.013100 (0.013100) Loss: 0.55248 (0.66280) +2025-08-22,03:49:05 | INFO | Train Epoch: 3 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.70851 (0.64984) Boundary_loss: 0.013068 (0.013100) Loss: 0.72158 (0.66294) +2025-08-22,03:50:11 | INFO | Train Epoch: 3 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.66456 (0.64988) Boundary_loss: 0.013028 (0.013100) Loss: 0.67759 (0.66298) +2025-08-22,03:51:16 | INFO | Train Epoch: 3 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.59658 (0.64975) Boundary_loss: 0.013106 (0.013100) Loss: 0.60969 (0.66285) +2025-08-22,03:52:21 | INFO | Train Epoch: 3 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.54085 (0.64948) Boundary_loss: 0.012973 (0.013099) Loss: 0.55382 (0.66258) +2025-08-22,03:53:26 | INFO | Train Epoch: 3 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.60320 (0.64937) Boundary_loss: 0.012921 (0.013099) Loss: 0.61612 (0.66247) +2025-08-22,03:54:31 | INFO | Train Epoch: 3 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.55390 (0.64914) Boundary_loss: 0.013046 (0.013099) Loss: 0.56694 (0.66224) +2025-08-22,03:55:37 | INFO | Train Epoch: 3 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.73687 (0.64935) Boundary_loss: 0.013070 (0.013099) Loss: 0.74994 (0.66245) +2025-08-22,03:56:42 | INFO | Train Epoch: 3 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.59982 (0.64923) Boundary_loss: 0.013122 (0.013099) Loss: 0.61294 (0.66233) +2025-08-22,03:57:47 | INFO | Train Epoch: 3 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.59498 (0.64910) Boundary_loss: 0.013077 (0.013099) Loss: 0.60805 (0.66220) +2025-08-22,03:58:52 | INFO | Train Epoch: 3 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.53593 (0.64883) Boundary_loss: 0.013067 (0.013099) Loss: 0.54900 (0.66193) +2025-08-22,03:59:57 | INFO | Train Epoch: 3 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.64587 (0.64882) Boundary_loss: 0.013062 (0.013099) Loss: 0.65893 (0.66192) +2025-08-22,04:01:03 | INFO | Train Epoch: 3 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.62232 (0.64876) Boundary_loss: 0.013100 (0.013099) Loss: 0.63542 (0.66186) +2025-08-22,04:02:08 | INFO | Train Epoch: 3 [21453312/26365952 (81%)] Avg Boundaries (per batch): 18.881 Boundary Ratio: 0.096 Contrastive_loss: 0.65403 (0.64877) Boundary_loss: 0.013018 (0.013098) Loss: 0.66705 (0.66187) +2025-08-22,04:03:13 | INFO | Train Epoch: 3 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.58170 (0.64861) Boundary_loss: 0.013096 (0.013098) Loss: 0.59480 (0.66171) +2025-08-22,04:04:18 | INFO | Train Epoch: 3 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.68755 (0.64870) Boundary_loss: 0.013064 (0.013098) Loss: 0.70062 (0.66180) +2025-08-22,04:05:24 | INFO | Train Epoch: 3 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.57584 (0.64853) Boundary_loss: 0.013108 (0.013098) Loss: 0.58895 (0.66163) +2025-08-22,04:06:29 | INFO | Train Epoch: 3 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.63170 (0.64849) Boundary_loss: 0.013018 (0.013098) Loss: 0.64471 (0.66159) +2025-08-22,04:07:34 | INFO | Train Epoch: 3 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.62278 (0.64843) Boundary_loss: 0.013114 (0.013098) Loss: 0.63590 (0.66153) +2025-08-22,04:08:39 | INFO | Train Epoch: 3 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.55147 (0.64820) Boundary_loss: 0.013043 (0.013098) Loss: 0.56452 (0.66130) +2025-08-22,04:09:44 | INFO | Train Epoch: 3 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.64948 (0.64821) Boundary_loss: 0.013030 (0.013098) Loss: 0.66251 (0.66131) +2025-08-22,04:10:50 | INFO | Train Epoch: 3 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.68443 (0.64829) Boundary_loss: 0.012994 (0.013098) Loss: 0.69742 (0.66139) +2025-08-22,04:11:55 | INFO | Train Epoch: 3 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.543 Boundary Ratio: 0.100 Contrastive_loss: 0.64355 (0.64828) Boundary_loss: 0.013168 (0.013098) Loss: 0.65671 (0.66138) +2025-08-22,04:13:00 | INFO | Train Epoch: 3 [21965312/26365952 (83%)] Avg Boundaries (per batch): 18.902 Boundary Ratio: 0.096 Contrastive_loss: 0.71112 (0.64843) Boundary_loss: 0.013085 (0.013098) Loss: 0.72421 (0.66153) +2025-08-22,04:14:05 | INFO | Train Epoch: 3 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.62337 (0.64837) Boundary_loss: 0.013146 (0.013098) Loss: 0.63652 (0.66147) +2025-08-22,04:15:10 | INFO | Train Epoch: 3 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 0.62599 (0.64832) Boundary_loss: 0.013081 (0.013098) Loss: 0.63908 (0.66142) +2025-08-22,04:16:16 | INFO | Train Epoch: 3 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.66422 (0.64835) Boundary_loss: 0.013024 (0.013098) Loss: 0.67725 (0.66145) +2025-08-22,04:17:21 | INFO | Train Epoch: 3 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.66476 (0.64839) Boundary_loss: 0.013059 (0.013098) Loss: 0.67782 (0.66149) +2025-08-22,04:18:26 | INFO | Train Epoch: 3 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.71566 (0.64855) Boundary_loss: 0.013009 (0.013097) Loss: 0.72867 (0.66164) +2025-08-22,04:19:31 | INFO | Train Epoch: 3 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 0.64382 (0.64854) Boundary_loss: 0.013045 (0.013097) Loss: 0.65686 (0.66163) +2025-08-22,04:20:36 | INFO | Train Epoch: 3 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.78777 (0.64885) Boundary_loss: 0.013100 (0.013097) Loss: 0.80087 (0.66195) +2025-08-22,04:21:42 | INFO | Train Epoch: 3 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.63303 (0.64882) Boundary_loss: 0.013062 (0.013097) Loss: 0.64609 (0.66192) +2025-08-22,04:22:47 | INFO | Train Epoch: 3 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.60203 (0.64871) Boundary_loss: 0.013036 (0.013097) Loss: 0.61507 (0.66181) +2025-08-22,04:23:52 | INFO | Train Epoch: 3 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.55737 (0.64850) Boundary_loss: 0.013063 (0.013097) Loss: 0.57043 (0.66160) +2025-08-22,04:24:57 | INFO | Train Epoch: 3 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.55056 (0.64828) Boundary_loss: 0.013026 (0.013097) Loss: 0.56358 (0.66138) +2025-08-22,04:26:02 | INFO | Train Epoch: 3 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.55171 (0.64806) Boundary_loss: 0.013069 (0.013097) Loss: 0.56478 (0.66116) +2025-08-22,04:27:08 | INFO | Train Epoch: 3 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.57308 (0.64789) Boundary_loss: 0.012958 (0.013097) Loss: 0.58604 (0.66099) +2025-08-22,04:28:13 | INFO | Train Epoch: 3 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.56218 (0.64770) Boundary_loss: 0.013055 (0.013096) Loss: 0.57524 (0.66080) +2025-08-22,04:29:18 | INFO | Train Epoch: 3 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.60598 (0.64761) Boundary_loss: 0.012984 (0.013096) Loss: 0.61896 (0.66070) +2025-08-22,04:30:23 | INFO | Train Epoch: 3 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.58018 (0.64746) Boundary_loss: 0.013025 (0.013096) Loss: 0.59320 (0.66055) +2025-08-22,04:31:28 | INFO | Train Epoch: 3 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.66651 (0.64750) Boundary_loss: 0.013035 (0.013096) Loss: 0.67955 (0.66059) +2025-08-22,04:32:34 | INFO | Train Epoch: 3 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.56455 (0.64731) Boundary_loss: 0.013079 (0.013096) Loss: 0.57763 (0.66041) +2025-08-22,04:33:39 | INFO | Train Epoch: 3 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.59470 (0.64720) Boundary_loss: 0.013112 (0.013096) Loss: 0.60781 (0.66029) +2025-08-22,04:34:44 | INFO | Train Epoch: 3 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.59395 (0.64708) Boundary_loss: 0.013048 (0.013096) Loss: 0.60700 (0.66017) +2025-08-22,04:35:49 | INFO | Train Epoch: 3 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.64513 (0.64707) Boundary_loss: 0.013015 (0.013096) Loss: 0.65815 (0.66017) +2025-08-22,04:36:54 | INFO | Train Epoch: 3 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.51003 (0.64677) Boundary_loss: 0.013111 (0.013096) Loss: 0.52314 (0.65987) +2025-08-22,04:38:00 | INFO | Train Epoch: 3 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.68003 (0.64684) Boundary_loss: 0.013031 (0.013095) Loss: 0.69306 (0.65994) +2025-08-22,04:39:05 | INFO | Train Epoch: 3 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.59724 (0.64673) Boundary_loss: 0.013044 (0.013095) Loss: 0.61029 (0.65983) +2025-08-22,04:40:10 | INFO | Train Epoch: 3 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.63219 (0.64670) Boundary_loss: 0.013127 (0.013095) Loss: 0.64532 (0.65980) +2025-08-22,04:41:15 | INFO | Train Epoch: 3 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.52530 (0.64644) Boundary_loss: 0.013102 (0.013095) Loss: 0.53840 (0.65953) +2025-08-22,04:42:20 | INFO | Train Epoch: 3 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.55379 (0.64623) Boundary_loss: 0.013249 (0.013096) Loss: 0.56704 (0.65933) +2025-08-22,04:43:26 | INFO | Train Epoch: 3 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.55358 (0.64603) Boundary_loss: 0.013066 (0.013096) Loss: 0.56665 (0.65913) +2025-08-22,04:44:31 | INFO | Train Epoch: 3 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.61834 (0.64597) Boundary_loss: 0.013055 (0.013096) Loss: 0.63140 (0.65907) +2025-08-22,04:45:36 | INFO | Train Epoch: 3 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.56756 (0.64580) Boundary_loss: 0.013167 (0.013096) Loss: 0.58073 (0.65890) +2025-08-22,04:46:41 | INFO | Train Epoch: 3 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.59218 (0.64568) Boundary_loss: 0.013044 (0.013096) Loss: 0.60522 (0.65878) +2025-08-22,04:47:46 | INFO | Train Epoch: 3 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.65199 (0.64570) Boundary_loss: 0.013101 (0.013096) Loss: 0.66509 (0.65879) +2025-08-22,04:48:51 | INFO | Train Epoch: 3 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.62846 (0.64566) Boundary_loss: 0.013068 (0.013096) Loss: 0.64153 (0.65876) +2025-08-22,04:49:56 | INFO | Train Epoch: 3 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.50127 (0.64535) Boundary_loss: 0.013186 (0.013096) Loss: 0.51445 (0.65845) +2025-08-22,04:51:02 | INFO | Train Epoch: 3 [23757312/26365952 (90%)] Avg Boundaries (per batch): 18.893 Boundary Ratio: 0.096 Contrastive_loss: 0.55407 (0.64515) Boundary_loss: 0.013218 (0.013096) Loss: 0.56729 (0.65825) +2025-08-22,04:52:07 | INFO | Train Epoch: 3 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.64393 (0.64515) Boundary_loss: 0.013079 (0.013096) Loss: 0.65701 (0.65825) +2025-08-22,04:53:12 | INFO | Train Epoch: 3 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.72152 (0.64531) Boundary_loss: 0.012980 (0.013096) Loss: 0.73450 (0.65841) +2025-08-22,04:54:17 | INFO | Train Epoch: 3 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.56473 (0.64514) Boundary_loss: 0.013001 (0.013096) Loss: 0.57773 (0.65824) +2025-08-22,04:55:22 | INFO | Train Epoch: 3 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.59763 (0.64504) Boundary_loss: 0.013035 (0.013095) Loss: 0.61067 (0.65814) +2025-08-22,04:56:27 | INFO | Train Epoch: 3 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.57432 (0.64489) Boundary_loss: 0.013170 (0.013096) Loss: 0.58749 (0.65799) +2025-08-22,04:57:32 | INFO | Train Epoch: 3 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.56348 (0.64472) Boundary_loss: 0.013172 (0.013096) Loss: 0.57665 (0.65781) +2025-08-22,04:58:37 | INFO | Train Epoch: 3 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.69534 (0.64482) Boundary_loss: 0.013123 (0.013096) Loss: 0.70847 (0.65792) +2025-08-22,04:59:43 | INFO | Train Epoch: 3 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.56408 (0.64465) Boundary_loss: 0.013095 (0.013096) Loss: 0.57718 (0.65775) +2025-08-22,05:00:48 | INFO | Train Epoch: 3 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.61088 (0.64458) Boundary_loss: 0.013075 (0.013096) Loss: 0.62396 (0.65768) +2025-08-22,05:01:53 | INFO | Train Epoch: 3 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.53933 (0.64436) Boundary_loss: 0.013118 (0.013096) Loss: 0.55244 (0.65746) +2025-08-22,05:02:58 | INFO | Train Epoch: 3 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.59265 (0.64425) Boundary_loss: 0.013080 (0.013096) Loss: 0.60573 (0.65735) +2025-08-22,05:04:03 | INFO | Train Epoch: 3 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.57912 (0.64412) Boundary_loss: 0.013090 (0.013096) Loss: 0.59221 (0.65721) +2025-08-22,05:05:08 | INFO | Train Epoch: 3 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.658 Boundary Ratio: 0.100 Contrastive_loss: 0.61726 (0.64406) Boundary_loss: 0.013141 (0.013096) Loss: 0.63040 (0.65716) +2025-08-22,05:06:13 | INFO | Train Epoch: 3 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.65673 (0.64409) Boundary_loss: 0.013130 (0.013096) Loss: 0.66986 (0.65718) +2025-08-22,05:07:19 | INFO | Train Epoch: 3 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.59835 (0.64399) Boundary_loss: 0.013118 (0.013096) Loss: 0.61147 (0.65709) +2025-08-22,05:08:24 | INFO | Train Epoch: 3 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.594 Boundary Ratio: 0.100 Contrastive_loss: 0.51894 (0.64373) Boundary_loss: 0.013119 (0.013096) Loss: 0.53205 (0.65683) +2025-08-22,05:09:29 | INFO | Train Epoch: 3 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.52232 (0.64348) Boundary_loss: 0.013028 (0.013096) Loss: 0.53535 (0.65658) +2025-08-22,05:10:34 | INFO | Train Epoch: 3 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.52966 (0.64324) Boundary_loss: 0.013071 (0.013096) Loss: 0.54273 (0.65634) +2025-08-22,05:11:39 | INFO | Train Epoch: 3 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.70375 (0.64337) Boundary_loss: 0.012978 (0.013096) Loss: 0.71673 (0.65646) +2025-08-22,05:12:44 | INFO | Train Epoch: 3 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.58482 (0.64325) Boundary_loss: 0.013094 (0.013096) Loss: 0.59792 (0.65634) +2025-08-22,05:13:49 | INFO | Train Epoch: 3 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.68977 (0.64334) Boundary_loss: 0.013006 (0.013095) Loss: 0.70278 (0.65644) +2025-08-22,05:14:55 | INFO | Train Epoch: 3 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.62840 (0.64331) Boundary_loss: 0.013148 (0.013096) Loss: 0.64155 (0.65641) +2025-08-22,05:16:00 | INFO | Train Epoch: 3 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.56795 (0.64316) Boundary_loss: 0.013139 (0.013096) Loss: 0.58109 (0.65625) +2025-08-22,05:17:05 | INFO | Train Epoch: 3 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.61995 (0.64311) Boundary_loss: 0.013012 (0.013095) Loss: 0.63296 (0.65621) +2025-08-22,05:18:10 | INFO | Train Epoch: 3 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.54199 (0.64290) Boundary_loss: 0.013001 (0.013095) Loss: 0.55499 (0.65600) +2025-08-22,05:19:15 | INFO | Train Epoch: 3 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.61232 (0.64284) Boundary_loss: 0.013078 (0.013095) Loss: 0.62539 (0.65594) +2025-08-22,05:20:20 | INFO | Train Epoch: 3 [25139712/26365952 (95%)] Avg Boundaries (per batch): 18.871 Boundary Ratio: 0.096 Contrastive_loss: 0.60182 (0.64276) Boundary_loss: 0.012949 (0.013095) Loss: 0.61477 (0.65585) +2025-08-22,05:21:26 | INFO | Train Epoch: 3 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.49054 (0.64245) Boundary_loss: 0.013010 (0.013095) Loss: 0.50355 (0.65554) +2025-08-22,05:22:31 | INFO | Train Epoch: 3 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.61062 (0.64239) Boundary_loss: 0.013130 (0.013095) Loss: 0.62375 (0.65548) +2025-08-22,05:23:36 | INFO | Train Epoch: 3 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.56540 (0.64223) Boundary_loss: 0.013098 (0.013095) Loss: 0.57850 (0.65533) +2025-08-22,05:24:41 | INFO | Train Epoch: 3 [25344512/26365952 (96%)] Avg Boundaries (per batch): 18.936 Boundary Ratio: 0.097 Contrastive_loss: 0.65222 (0.64225) Boundary_loss: 0.013174 (0.013095) Loss: 0.66539 (0.65535) +2025-08-22,05:25:46 | INFO | Train Epoch: 3 [25395712/26365952 (96%)] Avg Boundaries (per batch): 18.975 Boundary Ratio: 0.097 Contrastive_loss: 0.52022 (0.64200) Boundary_loss: 0.013054 (0.013095) Loss: 0.53327 (0.65510) +2025-08-22,05:26:51 | INFO | Train Epoch: 3 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.57126 (0.64186) Boundary_loss: 0.013100 (0.013095) Loss: 0.58436 (0.65496) +2025-08-22,05:27:56 | INFO | Train Epoch: 3 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.52172 (0.64162) Boundary_loss: 0.013041 (0.013095) Loss: 0.53476 (0.65472) +2025-08-22,05:29:01 | INFO | Train Epoch: 3 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.57191 (0.64148) Boundary_loss: 0.013144 (0.013095) Loss: 0.58506 (0.65458) +2025-08-22,05:30:07 | INFO | Train Epoch: 3 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.62738 (0.64145) Boundary_loss: 0.013098 (0.013095) Loss: 0.64047 (0.65455) +2025-08-22,05:31:12 | INFO | Train Epoch: 3 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.62217 (0.64142) Boundary_loss: 0.012994 (0.013095) Loss: 0.63516 (0.65451) +2025-08-22,05:32:17 | INFO | Train Epoch: 3 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.684 Boundary Ratio: 0.100 Contrastive_loss: 0.77929 (0.64169) Boundary_loss: 0.013216 (0.013095) Loss: 0.79250 (0.65479) +2025-08-22,05:33:22 | INFO | Train Epoch: 3 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.67301 (0.64175) Boundary_loss: 0.013043 (0.013095) Loss: 0.68605 (0.65485) +2025-08-22,05:34:27 | INFO | Train Epoch: 3 [25805312/26365952 (98%)] Avg Boundaries (per batch): 18.738 Boundary Ratio: 0.096 Contrastive_loss: 0.62720 (0.64172) Boundary_loss: 0.013048 (0.013095) Loss: 0.64025 (0.65482) +2025-08-22,05:35:32 | INFO | Train Epoch: 3 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.59678 (0.64163) Boundary_loss: 0.013080 (0.013095) Loss: 0.60986 (0.65473) +2025-08-22,05:36:37 | INFO | Train Epoch: 3 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.65509 (0.64166) Boundary_loss: 0.013038 (0.013095) Loss: 0.66813 (0.65476) +2025-08-22,05:37:42 | INFO | Train Epoch: 3 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.63573 (0.64165) Boundary_loss: 0.013038 (0.013095) Loss: 0.64876 (0.65474) +2025-08-22,05:38:48 | INFO | Train Epoch: 3 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.43076 (0.64124) Boundary_loss: 0.013087 (0.013095) Loss: 0.44385 (0.65433) +2025-08-22,05:39:53 | INFO | Train Epoch: 3 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.68721 (0.64133) Boundary_loss: 0.013258 (0.013095) Loss: 0.70047 (0.65442) +2025-08-22,05:40:58 | INFO | Train Epoch: 3 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.60954 (0.64126) Boundary_loss: 0.012948 (0.013095) Loss: 0.62248 (0.65436) +2025-08-22,05:42:03 | INFO | Train Epoch: 3 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.58951 (0.64116) Boundary_loss: 0.013080 (0.013095) Loss: 0.60259 (0.65426) +2025-08-22,05:43:08 | INFO | Train Epoch: 3 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.59962 (0.64108) Boundary_loss: 0.013113 (0.013095) Loss: 0.61273 (0.65418) +2025-08-22,05:44:13 | INFO | Train Epoch: 3 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.52073 (0.64085) Boundary_loss: 0.013030 (0.013094) Loss: 0.53376 (0.65394) +2025-08-22,05:45:18 | INFO | Train Epoch: 3 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.62992 (0.64083) Boundary_loss: 0.012976 (0.013094) Loss: 0.64290 (0.65392) +2025-08-22,05:46:20 | INFO | Train Epoch: 3 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.55836 (0.64067) Boundary_loss: 0.013015 (0.013094) Loss: 0.57138 (0.65376) +2025-08-22,05:46:20 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-22,05:46:20 | INFO | [Epoch 3] Average Step Time: 0.656s | Average GPU Memory: 37.4 GB +2025-08-22,05:46:20 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-22,05:46:20 | INFO | Starting zero-shot imagenet. +2025-08-22,05:46:20 | INFO | Building zero-shot classifier +2025-08-22,05:46:30 | INFO | Using classifier +2025-08-22,05:47:11 | INFO | Finished zero-shot imagenet. +2025-08-22,05:47:11 | INFO | Eval Epoch: 4 imagenet-zeroshot-val-top1: 0.2309 imagenet-zeroshot-val-top5: 0.4679 +2025-08-22,05:47:13 | INFO | Start epoch 4 +2025-08-22,05:47:15 | INFO | Train Epoch: 4 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.48127 (0.48127) Boundary_loss: 0.013029 (0.013029) Loss: 0.49430 (0.49430) +2025-08-22,05:48:20 | INFO | Train Epoch: 4 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.44651 (0.46389) Boundary_loss: 0.013017 (0.013023) Loss: 0.45953 (0.47691) +2025-08-22,05:49:25 | INFO | Train Epoch: 4 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.54534 (0.49104) Boundary_loss: 0.013032 (0.013026) Loss: 0.55837 (0.50407) +2025-08-22,05:50:30 | INFO | Train Epoch: 4 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.46256 (0.48392) Boundary_loss: 0.013112 (0.013047) Loss: 0.47567 (0.49697) +2025-08-22,05:51:35 | INFO | Train Epoch: 4 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 0.56377 (0.49989) Boundary_loss: 0.013068 (0.013051) Loss: 0.57683 (0.51294) +2025-08-22,05:52:40 | INFO | Train Epoch: 4 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.57507 (0.51242) Boundary_loss: 0.013124 (0.013064) Loss: 0.58819 (0.52548) +2025-08-22,05:53:46 | INFO | Train Epoch: 4 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.55925 (0.51911) Boundary_loss: 0.012987 (0.013053) Loss: 0.57223 (0.53216) +2025-08-22,05:54:51 | INFO | Train Epoch: 4 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.58069 (0.52681) Boundary_loss: 0.013096 (0.013058) Loss: 0.59379 (0.53987) +2025-08-22,05:55:56 | INFO | Train Epoch: 4 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.53039 (0.52721) Boundary_loss: 0.013052 (0.013057) Loss: 0.54344 (0.54026) +2025-08-22,05:57:01 | INFO | Train Epoch: 4 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 18.824 Boundary Ratio: 0.096 Contrastive_loss: 0.42648 (0.51713) Boundary_loss: 0.013164 (0.013068) Loss: 0.43964 (0.53020) +2025-08-22,05:58:06 | INFO | Train Epoch: 4 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.58767 (0.52355) Boundary_loss: 0.013001 (0.013062) Loss: 0.60067 (0.53661) +2025-08-22,05:59:11 | INFO | Train Epoch: 4 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.63215 (0.53260) Boundary_loss: 0.013100 (0.013065) Loss: 0.64525 (0.54566) +2025-08-22,06:00:16 | INFO | Train Epoch: 4 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.61669 (0.53906) Boundary_loss: 0.013165 (0.013073) Loss: 0.62985 (0.55214) +2025-08-22,06:01:21 | INFO | Train Epoch: 4 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.47069 (0.53418) Boundary_loss: 0.013073 (0.013073) Loss: 0.48376 (0.54725) +2025-08-22,06:02:26 | INFO | Train Epoch: 4 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.54897 (0.53517) Boundary_loss: 0.013086 (0.013074) Loss: 0.56206 (0.54824) +2025-08-22,06:03:32 | INFO | Train Epoch: 4 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.55151 (0.53619) Boundary_loss: 0.013109 (0.013076) Loss: 0.56461 (0.54926) +2025-08-22,06:04:37 | INFO | Train Epoch: 4 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.47575 (0.53263) Boundary_loss: 0.013009 (0.013072) Loss: 0.48876 (0.54570) +2025-08-22,06:05:42 | INFO | Train Epoch: 4 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.55180 (0.53370) Boundary_loss: 0.013005 (0.013068) Loss: 0.56481 (0.54677) +2025-08-22,06:06:47 | INFO | Train Epoch: 4 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.62735 (0.53863) Boundary_loss: 0.013127 (0.013071) Loss: 0.64048 (0.55170) +2025-08-22,06:07:52 | INFO | Train Epoch: 4 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.59803 (0.54160) Boundary_loss: 0.013086 (0.013072) Loss: 0.61111 (0.55467) +2025-08-22,06:08:57 | INFO | Train Epoch: 4 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.46375 (0.53789) Boundary_loss: 0.013045 (0.013071) Loss: 0.47680 (0.55096) +2025-08-22,06:10:02 | INFO | Train Epoch: 4 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.43761 (0.53333) Boundary_loss: 0.013043 (0.013069) Loss: 0.45065 (0.54640) +2025-08-22,06:11:07 | INFO | Train Epoch: 4 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 0.44489 (0.52949) Boundary_loss: 0.013140 (0.013073) Loss: 0.45803 (0.54256) +2025-08-22,06:12:12 | INFO | Train Epoch: 4 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.47515 (0.52722) Boundary_loss: 0.013099 (0.013074) Loss: 0.48825 (0.54030) +2025-08-22,06:13:17 | INFO | Train Epoch: 4 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.60831 (0.53047) Boundary_loss: 0.013067 (0.013073) Loss: 0.62138 (0.54354) +2025-08-22,06:14:22 | INFO | Train Epoch: 4 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 18.947 Boundary Ratio: 0.097 Contrastive_loss: 0.48915 (0.52888) Boundary_loss: 0.013091 (0.013074) Loss: 0.50224 (0.54195) +2025-08-22,06:15:27 | INFO | Train Epoch: 4 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.773 Boundary Ratio: 0.101 Contrastive_loss: 0.67750 (0.53438) Boundary_loss: 0.013094 (0.013075) Loss: 0.69059 (0.54746) +2025-08-22,06:16:33 | INFO | Train Epoch: 4 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.59449 (0.53653) Boundary_loss: 0.013038 (0.013073) Loss: 0.60753 (0.54960) +2025-08-22,06:17:38 | INFO | Train Epoch: 4 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.53293 (0.53640) Boundary_loss: 0.013042 (0.013072) Loss: 0.54597 (0.54948) +2025-08-22,06:18:43 | INFO | Train Epoch: 4 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.54963 (0.53684) Boundary_loss: 0.013096 (0.013073) Loss: 0.56273 (0.54992) +2025-08-22,06:19:48 | INFO | Train Epoch: 4 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.55092 (0.53730) Boundary_loss: 0.013026 (0.013072) Loss: 0.56395 (0.55037) +2025-08-22,06:20:53 | INFO | Train Epoch: 4 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.59671 (0.53916) Boundary_loss: 0.013100 (0.013073) Loss: 0.60981 (0.55223) +2025-08-22,06:21:58 | INFO | Train Epoch: 4 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.55933 (0.53977) Boundary_loss: 0.012983 (0.013070) Loss: 0.57231 (0.55284) +2025-08-22,06:23:03 | INFO | Train Epoch: 4 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.57167 (0.54071) Boundary_loss: 0.013079 (0.013070) Loss: 0.58475 (0.55378) +2025-08-22,06:24:08 | INFO | Train Epoch: 4 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.62893 (0.54323) Boundary_loss: 0.013062 (0.013070) Loss: 0.64199 (0.55630) +2025-08-22,06:25:13 | INFO | Train Epoch: 4 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.55049 (0.54343) Boundary_loss: 0.013166 (0.013073) Loss: 0.56366 (0.55650) +2025-08-22,06:26:18 | INFO | Train Epoch: 4 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.56658 (0.54405) Boundary_loss: 0.013098 (0.013073) Loss: 0.57968 (0.55713) +2025-08-22,06:27:23 | INFO | Train Epoch: 4 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 0.51030 (0.54317) Boundary_loss: 0.012988 (0.013071) Loss: 0.52329 (0.55624) +2025-08-22,06:28:28 | INFO | Train Epoch: 4 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.600 Boundary Ratio: 0.100 Contrastive_loss: 0.43875 (0.54049) Boundary_loss: 0.013136 (0.013073) Loss: 0.45189 (0.55356) +2025-08-22,06:29:33 | INFO | Train Epoch: 4 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 18.934 Boundary Ratio: 0.097 Contrastive_loss: 0.51896 (0.53995) Boundary_loss: 0.013098 (0.013073) Loss: 0.53206 (0.55302) +2025-08-22,06:30:38 | INFO | Train Epoch: 4 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.51755 (0.53940) Boundary_loss: 0.013195 (0.013076) Loss: 0.53074 (0.55248) +2025-08-22,06:31:43 | INFO | Train Epoch: 4 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.56544 (0.54002) Boundary_loss: 0.013074 (0.013076) Loss: 0.57852 (0.55310) +2025-08-22,06:32:48 | INFO | Train Epoch: 4 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.55110 (0.54028) Boundary_loss: 0.013117 (0.013077) Loss: 0.56422 (0.55336) +2025-08-22,06:33:53 | INFO | Train Epoch: 4 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.47847 (0.53888) Boundary_loss: 0.013022 (0.013076) Loss: 0.49149 (0.55195) +2025-08-22,06:34:58 | INFO | Train Epoch: 4 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.52912 (0.53866) Boundary_loss: 0.013210 (0.013079) Loss: 0.54233 (0.55174) +2025-08-22,06:36:03 | INFO | Train Epoch: 4 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.60718 (0.54015) Boundary_loss: 0.012929 (0.013076) Loss: 0.62010 (0.55322) +2025-08-22,06:37:08 | INFO | Train Epoch: 4 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.50338 (0.53937) Boundary_loss: 0.012937 (0.013073) Loss: 0.51632 (0.55244) +2025-08-22,06:38:13 | INFO | Train Epoch: 4 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.568 Boundary Ratio: 0.100 Contrastive_loss: 0.53094 (0.53919) Boundary_loss: 0.013076 (0.013073) Loss: 0.54402 (0.55226) +2025-08-22,06:39:19 | INFO | Train Epoch: 4 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.49284 (0.53825) Boundary_loss: 0.013064 (0.013073) Loss: 0.50590 (0.55132) +2025-08-22,06:40:24 | INFO | Train Epoch: 4 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 0.62592 (0.54000) Boundary_loss: 0.013085 (0.013073) Loss: 0.63901 (0.55307) +2025-08-22,06:41:29 | INFO | Train Epoch: 4 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.54897 (0.54017) Boundary_loss: 0.012982 (0.013071) Loss: 0.56196 (0.55325) +2025-08-22,06:42:34 | INFO | Train Epoch: 4 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.55538 (0.54047) Boundary_loss: 0.013195 (0.013073) Loss: 0.56858 (0.55354) +2025-08-22,06:43:39 | INFO | Train Epoch: 4 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.58328 (0.54128) Boundary_loss: 0.013083 (0.013074) Loss: 0.59636 (0.55435) +2025-08-22,06:44:44 | INFO | Train Epoch: 4 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.58739 (0.54213) Boundary_loss: 0.013032 (0.013073) Loss: 0.60042 (0.55520) +2025-08-22,06:45:49 | INFO | Train Epoch: 4 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.46007 (0.54064) Boundary_loss: 0.012974 (0.013071) Loss: 0.47305 (0.55371) +2025-08-22,06:46:54 | INFO | Train Epoch: 4 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.55949 (0.54097) Boundary_loss: 0.012976 (0.013069) Loss: 0.57247 (0.55404) +2025-08-22,06:47:59 | INFO | Train Epoch: 4 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.57686 (0.54160) Boundary_loss: 0.013213 (0.013072) Loss: 0.59008 (0.55468) +2025-08-22,06:49:04 | INFO | Train Epoch: 4 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 18.980 Boundary Ratio: 0.097 Contrastive_loss: 0.56279 (0.54197) Boundary_loss: 0.013138 (0.013073) Loss: 0.57593 (0.55504) +2025-08-22,06:50:09 | INFO | Train Epoch: 4 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.52643 (0.54171) Boundary_loss: 0.013000 (0.013072) Loss: 0.53943 (0.55478) +2025-08-22,06:51:14 | INFO | Train Epoch: 4 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.58462 (0.54242) Boundary_loss: 0.013185 (0.013074) Loss: 0.59780 (0.55549) +2025-08-22,06:52:19 | INFO | Train Epoch: 4 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.54442 (0.54245) Boundary_loss: 0.013095 (0.013074) Loss: 0.55751 (0.55553) +2025-08-22,06:53:24 | INFO | Train Epoch: 4 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.63596 (0.54396) Boundary_loss: 0.013132 (0.013075) Loss: 0.64909 (0.55704) +2025-08-22,06:54:29 | INFO | Train Epoch: 4 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.57244 (0.54441) Boundary_loss: 0.013006 (0.013074) Loss: 0.58545 (0.55749) +2025-08-22,06:55:34 | INFO | Train Epoch: 4 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.721 Boundary Ratio: 0.101 Contrastive_loss: 0.45635 (0.54304) Boundary_loss: 0.013192 (0.013076) Loss: 0.46954 (0.55611) +2025-08-22,06:56:39 | INFO | Train Epoch: 4 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.63460 (0.54445) Boundary_loss: 0.013107 (0.013076) Loss: 0.64771 (0.55752) +2025-08-22,06:57:44 | INFO | Train Epoch: 4 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.60834 (0.54541) Boundary_loss: 0.013076 (0.013076) Loss: 0.62142 (0.55849) +2025-08-22,06:58:49 | INFO | Train Epoch: 4 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.650 Boundary Ratio: 0.100 Contrastive_loss: 0.52998 (0.54518) Boundary_loss: 0.013203 (0.013078) Loss: 0.54318 (0.55826) +2025-08-22,06:59:54 | INFO | Train Epoch: 4 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.50048 (0.54453) Boundary_loss: 0.013071 (0.013078) Loss: 0.51355 (0.55760) +2025-08-22,07:00:59 | INFO | Train Epoch: 4 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.46042 (0.54331) Boundary_loss: 0.013049 (0.013078) Loss: 0.47347 (0.55639) +2025-08-22,07:02:04 | INFO | Train Epoch: 4 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.44944 (0.54197) Boundary_loss: 0.013088 (0.013078) Loss: 0.46252 (0.55504) +2025-08-22,07:03:09 | INFO | Train Epoch: 4 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.48869 (0.54122) Boundary_loss: 0.013153 (0.013079) Loss: 0.50185 (0.55429) +2025-08-22,07:04:14 | INFO | Train Epoch: 4 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.600 Boundary Ratio: 0.100 Contrastive_loss: 0.60519 (0.54210) Boundary_loss: 0.013071 (0.013079) Loss: 0.61826 (0.55518) +2025-08-22,07:05:19 | INFO | Train Epoch: 4 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.55687 (0.54231) Boundary_loss: 0.013102 (0.013079) Loss: 0.56997 (0.55539) +2025-08-22,07:06:24 | INFO | Train Epoch: 4 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.51217 (0.54190) Boundary_loss: 0.012961 (0.013077) Loss: 0.52513 (0.55498) +2025-08-22,07:07:29 | INFO | Train Epoch: 4 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.57393 (0.54233) Boundary_loss: 0.013089 (0.013077) Loss: 0.58702 (0.55540) +2025-08-22,07:08:34 | INFO | Train Epoch: 4 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.570 Boundary Ratio: 0.100 Contrastive_loss: 0.56514 (0.54263) Boundary_loss: 0.013139 (0.013078) Loss: 0.57828 (0.55571) +2025-08-22,07:09:39 | INFO | Train Epoch: 4 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.48669 (0.54190) Boundary_loss: 0.013024 (0.013078) Loss: 0.49971 (0.55498) +2025-08-22,07:10:45 | INFO | Train Epoch: 4 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.53560 (0.54182) Boundary_loss: 0.013099 (0.013078) Loss: 0.54870 (0.55490) +2025-08-22,07:11:50 | INFO | Train Epoch: 4 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.66509 (0.54338) Boundary_loss: 0.013099 (0.013078) Loss: 0.67819 (0.55646) +2025-08-22,07:12:55 | INFO | Train Epoch: 4 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.70074 (0.54535) Boundary_loss: 0.013054 (0.013078) Loss: 0.71379 (0.55842) +2025-08-22,07:14:00 | INFO | Train Epoch: 4 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.582 Boundary Ratio: 0.100 Contrastive_loss: 0.48919 (0.54465) Boundary_loss: 0.013082 (0.013078) Loss: 0.50227 (0.55773) +2025-08-22,07:15:05 | INFO | Train Epoch: 4 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.65117 (0.54595) Boundary_loss: 0.013073 (0.013078) Loss: 0.66425 (0.55903) +2025-08-22,07:16:10 | INFO | Train Epoch: 4 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 0.58041 (0.54637) Boundary_loss: 0.013152 (0.013079) Loss: 0.59356 (0.55945) +2025-08-22,07:17:15 | INFO | Train Epoch: 4 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.51675 (0.54602) Boundary_loss: 0.013027 (0.013078) Loss: 0.52978 (0.55909) +2025-08-22,07:18:20 | INFO | Train Epoch: 4 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.59147 (0.54655) Boundary_loss: 0.013076 (0.013078) Loss: 0.60454 (0.55963) +2025-08-22,07:19:25 | INFO | Train Epoch: 4 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.58110 (0.54695) Boundary_loss: 0.013090 (0.013078) Loss: 0.59419 (0.56003) +2025-08-22,07:20:30 | INFO | Train Epoch: 4 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.47075 (0.54608) Boundary_loss: 0.012930 (0.013076) Loss: 0.48367 (0.55915) +2025-08-22,07:21:35 | INFO | Train Epoch: 4 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.62911 (0.54702) Boundary_loss: 0.013053 (0.013076) Loss: 0.64217 (0.56010) +2025-08-22,07:22:40 | INFO | Train Epoch: 4 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.59128 (0.54752) Boundary_loss: 0.012942 (0.013075) Loss: 0.60422 (0.56059) +2025-08-22,07:23:45 | INFO | Train Epoch: 4 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.66789 (0.54885) Boundary_loss: 0.012923 (0.013073) Loss: 0.68081 (0.56193) +2025-08-22,07:24:50 | INFO | Train Epoch: 4 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 18.850 Boundary Ratio: 0.096 Contrastive_loss: 0.58589 (0.54926) Boundary_loss: 0.013110 (0.013073) Loss: 0.59900 (0.56233) +2025-08-22,07:25:56 | INFO | Train Epoch: 4 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.47742 (0.54848) Boundary_loss: 0.013076 (0.013073) Loss: 0.49049 (0.56155) +2025-08-22,07:27:01 | INFO | Train Epoch: 4 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.54572 (0.54845) Boundary_loss: 0.013061 (0.013073) Loss: 0.55878 (0.56152) +2025-08-22,07:28:06 | INFO | Train Epoch: 4 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.54618 (0.54843) Boundary_loss: 0.013052 (0.013073) Loss: 0.55923 (0.56150) +2025-08-22,07:29:11 | INFO | Train Epoch: 4 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.58785 (0.54884) Boundary_loss: 0.013074 (0.013073) Loss: 0.60093 (0.56191) +2025-08-22,07:30:16 | INFO | Train Epoch: 4 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.57601 (0.54912) Boundary_loss: 0.013088 (0.013073) Loss: 0.58909 (0.56220) +2025-08-22,07:31:21 | INFO | Train Epoch: 4 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.53895 (0.54902) Boundary_loss: 0.012964 (0.013072) Loss: 0.55192 (0.56209) +2025-08-22,07:32:26 | INFO | Train Epoch: 4 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 18.812 Boundary Ratio: 0.096 Contrastive_loss: 0.47425 (0.54826) Boundary_loss: 0.013078 (0.013072) Loss: 0.48733 (0.56133) +2025-08-22,07:33:31 | INFO | Train Epoch: 4 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.53683 (0.54814) Boundary_loss: 0.013056 (0.013072) Loss: 0.54988 (0.56121) +2025-08-22,07:34:36 | INFO | Train Epoch: 4 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.52880 (0.54795) Boundary_loss: 0.013138 (0.013073) Loss: 0.54194 (0.56102) +2025-08-22,07:35:41 | INFO | Train Epoch: 4 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.55972 (0.54806) Boundary_loss: 0.013019 (0.013072) Loss: 0.57274 (0.56114) +2025-08-22,07:36:46 | INFO | Train Epoch: 4 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.56353 (0.54822) Boundary_loss: 0.012984 (0.013071) Loss: 0.57651 (0.56129) +2025-08-22,07:37:51 | INFO | Train Epoch: 4 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.715 Boundary Ratio: 0.101 Contrastive_loss: 0.46525 (0.54741) Boundary_loss: 0.013185 (0.013072) Loss: 0.47843 (0.56048) +2025-08-22,07:38:57 | INFO | Train Epoch: 4 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.49605 (0.54692) Boundary_loss: 0.013104 (0.013073) Loss: 0.50915 (0.55999) +2025-08-22,07:40:02 | INFO | Train Epoch: 4 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.51449 (0.54661) Boundary_loss: 0.013053 (0.013073) Loss: 0.52755 (0.55968) +2025-08-22,07:41:07 | INFO | Train Epoch: 4 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.51409 (0.54630) Boundary_loss: 0.013052 (0.013072) Loss: 0.52714 (0.55937) +2025-08-22,07:42:12 | INFO | Train Epoch: 4 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.54056 (0.54625) Boundary_loss: 0.013058 (0.013072) Loss: 0.55362 (0.55932) +2025-08-22,07:43:17 | INFO | Train Epoch: 4 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.53219 (0.54612) Boundary_loss: 0.012958 (0.013071) Loss: 0.54515 (0.55919) +2025-08-22,07:44:22 | INFO | Train Epoch: 4 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 0.61451 (0.54674) Boundary_loss: 0.013049 (0.013071) Loss: 0.62756 (0.55982) +2025-08-22,07:45:27 | INFO | Train Epoch: 4 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.56243 (0.54689) Boundary_loss: 0.013175 (0.013072) Loss: 0.57560 (0.55996) +2025-08-22,07:46:32 | INFO | Train Epoch: 4 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.53710 (0.54680) Boundary_loss: 0.013134 (0.013072) Loss: 0.55024 (0.55987) +2025-08-22,07:47:37 | INFO | Train Epoch: 4 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 0.60921 (0.54736) Boundary_loss: 0.013079 (0.013072) Loss: 0.62228 (0.56043) +2025-08-22,07:48:42 | INFO | Train Epoch: 4 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 18.916 Boundary Ratio: 0.097 Contrastive_loss: 0.51991 (0.54711) Boundary_loss: 0.013233 (0.013074) Loss: 0.53314 (0.56019) +2025-08-22,07:49:47 | INFO | Train Epoch: 4 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.52637 (0.54693) Boundary_loss: 0.013209 (0.013075) Loss: 0.53958 (0.56001) +2025-08-22,07:50:52 | INFO | Train Epoch: 4 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.55825 (0.54703) Boundary_loss: 0.013096 (0.013075) Loss: 0.57134 (0.56011) +2025-08-22,07:51:57 | INFO | Train Epoch: 4 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.50496 (0.54667) Boundary_loss: 0.013183 (0.013076) Loss: 0.51814 (0.55974) +2025-08-22,07:53:03 | INFO | Train Epoch: 4 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 0.51413 (0.54639) Boundary_loss: 0.013127 (0.013077) Loss: 0.52726 (0.55947) +2025-08-22,07:54:08 | INFO | Train Epoch: 4 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 18.750 Boundary Ratio: 0.096 Contrastive_loss: 0.48594 (0.54588) Boundary_loss: 0.013187 (0.013078) Loss: 0.49912 (0.55895) +2025-08-22,07:55:13 | INFO | Train Epoch: 4 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.53840 (0.54581) Boundary_loss: 0.013140 (0.013078) Loss: 0.55154 (0.55889) +2025-08-22,07:56:18 | INFO | Train Epoch: 4 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.50168 (0.54545) Boundary_loss: 0.012934 (0.013077) Loss: 0.51462 (0.55852) +2025-08-22,07:57:23 | INFO | Train Epoch: 4 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.53244 (0.54534) Boundary_loss: 0.013135 (0.013077) Loss: 0.54557 (0.55842) +2025-08-22,07:58:28 | INFO | Train Epoch: 4 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.53424 (0.54525) Boundary_loss: 0.013128 (0.013078) Loss: 0.54736 (0.55833) +2025-08-22,07:59:33 | INFO | Train Epoch: 4 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.48719 (0.54478) Boundary_loss: 0.013022 (0.013077) Loss: 0.50021 (0.55785) +2025-08-22,08:00:38 | INFO | Train Epoch: 4 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.51934 (0.54457) Boundary_loss: 0.013187 (0.013078) Loss: 0.53253 (0.55765) +2025-08-22,08:01:43 | INFO | Train Epoch: 4 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.55819 (0.54468) Boundary_loss: 0.013135 (0.013079) Loss: 0.57133 (0.55776) +2025-08-22,08:02:49 | INFO | Train Epoch: 4 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.56332 (0.54483) Boundary_loss: 0.013100 (0.013079) Loss: 0.57642 (0.55791) +2025-08-22,08:03:54 | INFO | Train Epoch: 4 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.51292 (0.54458) Boundary_loss: 0.013052 (0.013079) Loss: 0.52597 (0.55765) +2025-08-22,08:04:59 | INFO | Train Epoch: 4 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.47951 (0.54407) Boundary_loss: 0.013054 (0.013078) Loss: 0.49257 (0.55715) +2025-08-22,08:06:04 | INFO | Train Epoch: 4 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.46701 (0.54347) Boundary_loss: 0.013110 (0.013079) Loss: 0.48012 (0.55655) +2025-08-22,08:07:09 | INFO | Train Epoch: 4 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.62892 (0.54413) Boundary_loss: 0.013052 (0.013078) Loss: 0.64197 (0.55721) +2025-08-22,08:08:14 | INFO | Train Epoch: 4 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.44629 (0.54338) Boundary_loss: 0.013177 (0.013079) Loss: 0.45946 (0.55646) +2025-08-22,08:09:19 | INFO | Train Epoch: 4 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.49284 (0.54300) Boundary_loss: 0.013055 (0.013079) Loss: 0.50589 (0.55608) +2025-08-22,08:10:24 | INFO | Train Epoch: 4 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.47952 (0.54252) Boundary_loss: 0.013054 (0.013079) Loss: 0.49258 (0.55560) +2025-08-22,08:11:30 | INFO | Train Epoch: 4 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.51711 (0.54233) Boundary_loss: 0.013141 (0.013079) Loss: 0.53025 (0.55541) +2025-08-22,08:12:35 | INFO | Train Epoch: 4 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.55118 (0.54240) Boundary_loss: 0.013023 (0.013079) Loss: 0.56421 (0.55548) +2025-08-22,08:13:40 | INFO | Train Epoch: 4 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.52911 (0.54230) Boundary_loss: 0.013076 (0.013079) Loss: 0.54218 (0.55538) +2025-08-22,08:14:45 | INFO | Train Epoch: 4 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.51262 (0.54208) Boundary_loss: 0.012987 (0.013078) Loss: 0.52561 (0.55516) +2025-08-22,08:15:50 | INFO | Train Epoch: 4 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.53949 (0.54206) Boundary_loss: 0.013073 (0.013078) Loss: 0.55257 (0.55514) +2025-08-22,08:16:55 | INFO | Train Epoch: 4 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.56562 (0.54223) Boundary_loss: 0.013073 (0.013078) Loss: 0.57869 (0.55531) +2025-08-22,08:18:00 | INFO | Train Epoch: 4 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.52581 (0.54212) Boundary_loss: 0.013110 (0.013078) Loss: 0.53892 (0.55519) +2025-08-22,08:19:05 | INFO | Train Epoch: 4 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.53599 (0.54207) Boundary_loss: 0.013097 (0.013078) Loss: 0.54909 (0.55515) +2025-08-22,08:20:11 | INFO | Train Epoch: 4 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.53096 (0.54199) Boundary_loss: 0.012961 (0.013078) Loss: 0.54392 (0.55507) +2025-08-22,08:21:16 | INFO | Train Epoch: 4 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.61098 (0.54248) Boundary_loss: 0.012960 (0.013077) Loss: 0.62394 (0.55555) +2025-08-22,08:22:21 | INFO | Train Epoch: 4 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 0.51898 (0.54231) Boundary_loss: 0.012934 (0.013076) Loss: 0.53191 (0.55539) +2025-08-22,08:23:26 | INFO | Train Epoch: 4 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.51170 (0.54210) Boundary_loss: 0.013127 (0.013076) Loss: 0.52482 (0.55518) +2025-08-22,08:24:31 | INFO | Train Epoch: 4 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.47885 (0.54167) Boundary_loss: 0.012992 (0.013076) Loss: 0.49184 (0.55474) +2025-08-22,08:25:36 | INFO | Train Epoch: 4 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.50488 (0.54142) Boundary_loss: 0.013021 (0.013075) Loss: 0.51791 (0.55449) +2025-08-22,08:26:41 | INFO | Train Epoch: 4 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.48622 (0.54105) Boundary_loss: 0.013263 (0.013077) Loss: 0.49948 (0.55412) +2025-08-22,08:27:46 | INFO | Train Epoch: 4 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.55022 (0.54111) Boundary_loss: 0.013120 (0.013077) Loss: 0.56334 (0.55418) +2025-08-22,08:28:52 | INFO | Train Epoch: 4 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.61324 (0.54159) Boundary_loss: 0.013034 (0.013077) Loss: 0.62627 (0.55466) +2025-08-22,08:29:57 | INFO | Train Epoch: 4 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.594 Boundary Ratio: 0.100 Contrastive_loss: 0.54564 (0.54161) Boundary_loss: 0.012998 (0.013076) Loss: 0.55864 (0.55469) +2025-08-22,08:31:02 | INFO | Train Epoch: 4 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 0.60538 (0.54203) Boundary_loss: 0.013135 (0.013076) Loss: 0.61851 (0.55511) +2025-08-22,08:32:07 | INFO | Train Epoch: 4 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 0.54365 (0.54205) Boundary_loss: 0.013083 (0.013076) Loss: 0.55673 (0.55512) +2025-08-22,08:33:12 | INFO | Train Epoch: 4 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.49581 (0.54174) Boundary_loss: 0.013050 (0.013076) Loss: 0.50886 (0.55482) +2025-08-22,08:34:17 | INFO | Train Epoch: 4 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.652 Boundary Ratio: 0.100 Contrastive_loss: 0.56391 (0.54189) Boundary_loss: 0.013118 (0.013077) Loss: 0.57702 (0.55496) +2025-08-22,08:35:22 | INFO | Train Epoch: 4 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.53945 (0.54187) Boundary_loss: 0.013143 (0.013077) Loss: 0.55259 (0.55495) +2025-08-22,08:36:28 | INFO | Train Epoch: 4 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.48545 (0.54151) Boundary_loss: 0.013060 (0.013077) Loss: 0.49851 (0.55459) +2025-08-22,08:37:33 | INFO | Train Epoch: 4 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 18.936 Boundary Ratio: 0.097 Contrastive_loss: 0.46794 (0.54105) Boundary_loss: 0.013044 (0.013077) Loss: 0.48099 (0.55412) +2025-08-22,08:38:38 | INFO | Train Epoch: 4 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.58538 (0.54133) Boundary_loss: 0.013087 (0.013077) Loss: 0.59847 (0.55440) +2025-08-22,08:39:43 | INFO | Train Epoch: 4 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.58684 (0.54161) Boundary_loss: 0.013120 (0.013077) Loss: 0.59996 (0.55469) +2025-08-22,08:40:48 | INFO | Train Epoch: 4 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.55335 (0.54168) Boundary_loss: 0.013119 (0.013077) Loss: 0.56647 (0.55476) +2025-08-22,08:41:53 | INFO | Train Epoch: 4 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.50855 (0.54148) Boundary_loss: 0.013168 (0.013078) Loss: 0.52172 (0.55456) +2025-08-22,08:42:59 | INFO | Train Epoch: 4 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.54769 (0.54152) Boundary_loss: 0.013085 (0.013078) Loss: 0.56077 (0.55459) +2025-08-22,08:44:04 | INFO | Train Epoch: 4 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.46370 (0.54104) Boundary_loss: 0.013136 (0.013078) Loss: 0.47684 (0.55412) +2025-08-22,08:45:09 | INFO | Train Epoch: 4 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.61585 (0.54150) Boundary_loss: 0.013049 (0.013078) Loss: 0.62890 (0.55457) +2025-08-22,08:46:14 | INFO | Train Epoch: 4 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.52678 (0.54141) Boundary_loss: 0.013002 (0.013078) Loss: 0.53979 (0.55448) +2025-08-22,08:47:19 | INFO | Train Epoch: 4 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.55943 (0.54152) Boundary_loss: 0.013024 (0.013077) Loss: 0.57245 (0.55459) +2025-08-22,08:48:24 | INFO | Train Epoch: 4 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.53373 (0.54147) Boundary_loss: 0.013028 (0.013077) Loss: 0.54676 (0.55455) +2025-08-22,08:49:30 | INFO | Train Epoch: 4 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.53895 (0.54145) Boundary_loss: 0.013076 (0.013077) Loss: 0.55203 (0.55453) +2025-08-22,08:50:35 | INFO | Train Epoch: 4 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.525 Boundary Ratio: 0.100 Contrastive_loss: 0.61019 (0.54186) Boundary_loss: 0.013176 (0.013078) Loss: 0.62337 (0.55494) +2025-08-22,08:51:40 | INFO | Train Epoch: 4 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.55695 (0.54195) Boundary_loss: 0.013152 (0.013078) Loss: 0.57010 (0.55502) +2025-08-22,08:52:45 | INFO | Train Epoch: 4 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.54246 (0.54195) Boundary_loss: 0.013083 (0.013078) Loss: 0.55554 (0.55503) +2025-08-22,08:53:50 | INFO | Train Epoch: 4 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.54766 (0.54198) Boundary_loss: 0.013044 (0.013078) Loss: 0.56071 (0.55506) +2025-08-22,08:54:55 | INFO | Train Epoch: 4 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.598 Boundary Ratio: 0.100 Contrastive_loss: 0.59769 (0.54230) Boundary_loss: 0.012929 (0.013077) Loss: 0.61062 (0.55538) +2025-08-22,08:56:00 | INFO | Train Epoch: 4 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.55553 (0.54238) Boundary_loss: 0.013086 (0.013077) Loss: 0.56861 (0.55546) +2025-08-22,08:57:05 | INFO | Train Epoch: 4 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.50171 (0.54215) Boundary_loss: 0.013051 (0.013077) Loss: 0.51476 (0.55522) +2025-08-22,08:58:11 | INFO | Train Epoch: 4 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.52020 (0.54202) Boundary_loss: 0.013115 (0.013077) Loss: 0.53331 (0.55510) +2025-08-22,08:59:16 | INFO | Train Epoch: 4 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.50152 (0.54180) Boundary_loss: 0.013044 (0.013077) Loss: 0.51457 (0.55487) +2025-08-22,09:00:21 | INFO | Train Epoch: 4 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.53585 (0.54176) Boundary_loss: 0.013092 (0.013077) Loss: 0.54894 (0.55484) +2025-08-22,09:01:26 | INFO | Train Epoch: 4 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.52516 (0.54167) Boundary_loss: 0.013001 (0.013077) Loss: 0.53816 (0.55475) +2025-08-22,09:02:31 | INFO | Train Epoch: 4 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.760 Boundary Ratio: 0.101 Contrastive_loss: 0.56502 (0.54180) Boundary_loss: 0.013047 (0.013076) Loss: 0.57807 (0.55488) +2025-08-22,09:03:36 | INFO | Train Epoch: 4 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 0.61989 (0.54223) Boundary_loss: 0.012971 (0.013076) Loss: 0.63286 (0.55530) +2025-08-22,09:04:42 | INFO | Train Epoch: 4 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.58932 (0.54249) Boundary_loss: 0.013044 (0.013076) Loss: 0.60236 (0.55556) +2025-08-22,09:05:47 | INFO | Train Epoch: 4 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.53108 (0.54242) Boundary_loss: 0.013140 (0.013076) Loss: 0.54422 (0.55550) +2025-08-22,09:06:52 | INFO | Train Epoch: 4 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.617 Boundary Ratio: 0.100 Contrastive_loss: 0.46107 (0.54198) Boundary_loss: 0.013103 (0.013076) Loss: 0.47418 (0.55506) +2025-08-22,09:07:57 | INFO | Train Epoch: 4 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.54075 (0.54198) Boundary_loss: 0.012926 (0.013075) Loss: 0.55367 (0.55505) +2025-08-22,09:09:02 | INFO | Train Epoch: 4 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 0.49100 (0.54170) Boundary_loss: 0.012965 (0.013075) Loss: 0.50396 (0.55478) +2025-08-22,09:10:07 | INFO | Train Epoch: 4 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.50811 (0.54153) Boundary_loss: 0.013035 (0.013074) Loss: 0.52114 (0.55460) +2025-08-22,09:11:12 | INFO | Train Epoch: 4 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.42161 (0.54089) Boundary_loss: 0.013121 (0.013075) Loss: 0.43473 (0.55397) +2025-08-22,09:12:18 | INFO | Train Epoch: 4 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 18.850 Boundary Ratio: 0.096 Contrastive_loss: 0.62482 (0.54133) Boundary_loss: 0.013028 (0.013074) Loss: 0.63784 (0.55441) +2025-08-22,09:13:23 | INFO | Train Epoch: 4 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.54625 (0.54136) Boundary_loss: 0.013075 (0.013074) Loss: 0.55932 (0.55443) +2025-08-22,09:14:28 | INFO | Train Epoch: 4 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.50842 (0.54119) Boundary_loss: 0.013058 (0.013074) Loss: 0.52148 (0.55426) +2025-08-22,09:15:33 | INFO | Train Epoch: 4 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.52847 (0.54112) Boundary_loss: 0.013097 (0.013075) Loss: 0.54157 (0.55420) +2025-08-22,09:16:38 | INFO | Train Epoch: 4 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.52128 (0.54102) Boundary_loss: 0.013054 (0.013074) Loss: 0.53433 (0.55409) +2025-08-22,09:17:44 | INFO | Train Epoch: 4 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.54251 (0.54103) Boundary_loss: 0.013014 (0.013074) Loss: 0.55552 (0.55410) +2025-08-22,09:18:49 | INFO | Train Epoch: 4 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.58961 (0.54127) Boundary_loss: 0.013106 (0.013074) Loss: 0.60272 (0.55435) +2025-08-22,09:19:54 | INFO | Train Epoch: 4 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.60153 (0.54158) Boundary_loss: 0.013096 (0.013074) Loss: 0.61462 (0.55465) +2025-08-22,09:20:59 | INFO | Train Epoch: 4 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.51686 (0.54146) Boundary_loss: 0.013111 (0.013075) Loss: 0.52997 (0.55453) +2025-08-22,09:22:04 | INFO | Train Epoch: 4 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.55205 (0.54151) Boundary_loss: 0.013018 (0.013074) Loss: 0.56506 (0.55458) +2025-08-22,09:23:09 | INFO | Train Epoch: 4 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.52718 (0.54144) Boundary_loss: 0.013055 (0.013074) Loss: 0.54024 (0.55451) +2025-08-22,09:24:15 | INFO | Train Epoch: 4 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.57366 (0.54160) Boundary_loss: 0.013014 (0.013074) Loss: 0.58667 (0.55467) +2025-08-22,09:25:20 | INFO | Train Epoch: 4 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.52748 (0.54153) Boundary_loss: 0.013108 (0.013074) Loss: 0.54059 (0.55460) +2025-08-22,09:26:25 | INFO | Train Epoch: 4 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.65271 (0.54208) Boundary_loss: 0.013086 (0.013074) Loss: 0.66580 (0.55515) +2025-08-22,09:27:30 | INFO | Train Epoch: 4 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.52208 (0.54198) Boundary_loss: 0.013024 (0.013074) Loss: 0.53510 (0.55505) +2025-08-22,09:28:35 | INFO | Train Epoch: 4 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.50473 (0.54180) Boundary_loss: 0.013059 (0.013074) Loss: 0.51779 (0.55487) +2025-08-22,09:29:40 | INFO | Train Epoch: 4 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.56913 (0.54193) Boundary_loss: 0.013046 (0.013074) Loss: 0.58218 (0.55500) +2025-08-22,09:30:46 | INFO | Train Epoch: 4 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.54514 (0.54194) Boundary_loss: 0.013043 (0.013074) Loss: 0.55819 (0.55502) +2025-08-22,09:31:51 | INFO | Train Epoch: 4 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.45202 (0.54151) Boundary_loss: 0.012953 (0.013073) Loss: 0.46497 (0.55458) +2025-08-22,09:32:56 | INFO | Train Epoch: 4 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.57811 (0.54169) Boundary_loss: 0.013108 (0.013073) Loss: 0.59122 (0.55476) +2025-08-22,09:34:01 | INFO | Train Epoch: 4 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.52847 (0.54162) Boundary_loss: 0.013104 (0.013073) Loss: 0.54157 (0.55470) +2025-08-22,09:35:06 | INFO | Train Epoch: 4 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.47045 (0.54129) Boundary_loss: 0.013036 (0.013073) Loss: 0.48349 (0.55436) +2025-08-22,09:36:12 | INFO | Train Epoch: 4 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.48893 (0.54104) Boundary_loss: 0.013206 (0.013074) Loss: 0.50213 (0.55411) +2025-08-22,09:37:17 | INFO | Train Epoch: 4 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.49060 (0.54080) Boundary_loss: 0.012999 (0.013073) Loss: 0.50360 (0.55388) +2025-08-22,09:38:22 | INFO | Train Epoch: 4 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.54768 (0.54083) Boundary_loss: 0.013035 (0.013073) Loss: 0.56072 (0.55391) +2025-08-22,09:39:27 | INFO | Train Epoch: 4 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.50518 (0.54067) Boundary_loss: 0.013056 (0.013073) Loss: 0.51824 (0.55374) +2025-08-22,09:40:32 | INFO | Train Epoch: 4 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.53219 (0.54063) Boundary_loss: 0.013021 (0.013073) Loss: 0.54521 (0.55370) +2025-08-22,09:41:37 | INFO | Train Epoch: 4 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.57065 (0.54077) Boundary_loss: 0.013120 (0.013073) Loss: 0.58377 (0.55384) +2025-08-22,09:42:43 | INFO | Train Epoch: 4 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.50052 (0.54058) Boundary_loss: 0.013152 (0.013073) Loss: 0.51367 (0.55366) +2025-08-22,09:43:48 | INFO | Train Epoch: 4 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.55028 (0.54063) Boundary_loss: 0.012932 (0.013073) Loss: 0.56321 (0.55370) +2025-08-22,09:44:53 | INFO | Train Epoch: 4 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.52199 (0.54054) Boundary_loss: 0.013021 (0.013073) Loss: 0.53501 (0.55362) +2025-08-22,09:45:58 | INFO | Train Epoch: 4 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.58878 (0.54076) Boundary_loss: 0.012989 (0.013072) Loss: 0.60177 (0.55383) +2025-08-22,09:47:03 | INFO | Train Epoch: 4 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.70166 (0.54149) Boundary_loss: 0.013132 (0.013072) Loss: 0.71480 (0.55456) +2025-08-22,09:48:08 | INFO | Train Epoch: 4 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.50883 (0.54134) Boundary_loss: 0.013027 (0.013072) Loss: 0.52185 (0.55441) +2025-08-22,09:49:14 | INFO | Train Epoch: 4 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.50273 (0.54117) Boundary_loss: 0.013090 (0.013072) Loss: 0.51582 (0.55424) +2025-08-22,09:50:19 | INFO | Train Epoch: 4 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 0.48778 (0.54093) Boundary_loss: 0.013006 (0.013072) Loss: 0.50079 (0.55400) +2025-08-22,09:51:24 | INFO | Train Epoch: 4 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.48501 (0.54068) Boundary_loss: 0.013090 (0.013072) Loss: 0.49810 (0.55375) +2025-08-22,09:52:29 | INFO | Train Epoch: 4 [11571712/26365952 (44%)] Avg Boundaries (per batch): 18.965 Boundary Ratio: 0.097 Contrastive_loss: 0.48151 (0.54042) Boundary_loss: 0.013087 (0.013072) Loss: 0.49460 (0.55349) +2025-08-22,09:53:34 | INFO | Train Epoch: 4 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.56268 (0.54052) Boundary_loss: 0.013138 (0.013072) Loss: 0.57581 (0.55359) +2025-08-22,09:54:39 | INFO | Train Epoch: 4 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.55981 (0.54060) Boundary_loss: 0.013019 (0.013072) Loss: 0.57283 (0.55368) +2025-08-22,09:55:45 | INFO | Train Epoch: 4 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.723 Boundary Ratio: 0.101 Contrastive_loss: 0.49504 (0.54041) Boundary_loss: 0.013060 (0.013072) Loss: 0.50810 (0.55348) +2025-08-22,09:56:50 | INFO | Train Epoch: 4 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.47933 (0.54014) Boundary_loss: 0.013014 (0.013072) Loss: 0.49234 (0.55321) +2025-08-22,09:57:55 | INFO | Train Epoch: 4 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.45453 (0.53977) Boundary_loss: 0.012928 (0.013071) Loss: 0.46746 (0.55284) +2025-08-22,09:59:00 | INFO | Train Epoch: 4 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.629 Boundary Ratio: 0.100 Contrastive_loss: 0.48756 (0.53955) Boundary_loss: 0.013156 (0.013072) Loss: 0.50072 (0.55262) +2025-08-22,10:00:05 | INFO | Train Epoch: 4 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.48286 (0.53931) Boundary_loss: 0.012908 (0.013071) Loss: 0.49577 (0.55238) +2025-08-22,10:01:10 | INFO | Train Epoch: 4 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.53254 (0.53928) Boundary_loss: 0.013141 (0.013071) Loss: 0.54568 (0.55235) +2025-08-22,10:02:16 | INFO | Train Epoch: 4 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.51405 (0.53917) Boundary_loss: 0.013192 (0.013072) Loss: 0.52724 (0.55224) +2025-08-22,10:03:21 | INFO | Train Epoch: 4 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.672 Boundary Ratio: 0.100 Contrastive_loss: 0.64884 (0.53963) Boundary_loss: 0.013091 (0.013072) Loss: 0.66193 (0.55270) +2025-08-22,10:04:26 | INFO | Train Epoch: 4 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.54215 (0.53964) Boundary_loss: 0.013027 (0.013072) Loss: 0.55518 (0.55272) +2025-08-22,10:05:31 | INFO | Train Epoch: 4 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.54653 (0.53967) Boundary_loss: 0.013129 (0.013072) Loss: 0.55966 (0.55274) +2025-08-22,10:06:36 | INFO | Train Epoch: 4 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.65261 (0.54014) Boundary_loss: 0.012956 (0.013071) Loss: 0.66557 (0.55321) +2025-08-22,10:07:42 | INFO | Train Epoch: 4 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.54755 (0.54017) Boundary_loss: 0.013050 (0.013071) Loss: 0.56060 (0.55324) +2025-08-22,10:08:47 | INFO | Train Epoch: 4 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.56322 (0.54027) Boundary_loss: 0.013035 (0.013071) Loss: 0.57625 (0.55334) +2025-08-22,10:09:52 | INFO | Train Epoch: 4 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.45752 (0.53993) Boundary_loss: 0.013071 (0.013071) Loss: 0.47059 (0.55300) +2025-08-22,10:10:57 | INFO | Train Epoch: 4 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.650 Boundary Ratio: 0.100 Contrastive_loss: 0.43158 (0.53948) Boundary_loss: 0.013148 (0.013072) Loss: 0.44473 (0.55256) +2025-08-22,10:12:02 | INFO | Train Epoch: 4 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.55315 (0.53954) Boundary_loss: 0.012954 (0.013071) Loss: 0.56610 (0.55261) +2025-08-22,10:13:08 | INFO | Train Epoch: 4 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 0.54322 (0.53955) Boundary_loss: 0.013012 (0.013071) Loss: 0.55623 (0.55263) +2025-08-22,10:14:13 | INFO | Train Epoch: 4 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.45606 (0.53922) Boundary_loss: 0.013084 (0.013071) Loss: 0.46914 (0.55229) +2025-08-22,10:15:18 | INFO | Train Epoch: 4 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.42325 (0.53875) Boundary_loss: 0.013068 (0.013071) Loss: 0.43632 (0.55182) +2025-08-22,10:16:23 | INFO | Train Epoch: 4 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.59446 (0.53897) Boundary_loss: 0.013049 (0.013071) Loss: 0.60751 (0.55204) +2025-08-22,10:17:28 | INFO | Train Epoch: 4 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.60633 (0.53924) Boundary_loss: 0.012970 (0.013070) Loss: 0.61930 (0.55231) +2025-08-22,10:18:33 | INFO | Train Epoch: 4 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.45608 (0.53891) Boundary_loss: 0.012975 (0.013070) Loss: 0.46905 (0.55198) +2025-08-22,10:19:39 | INFO | Train Epoch: 4 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.46475 (0.53862) Boundary_loss: 0.013165 (0.013070) Loss: 0.47792 (0.55169) +2025-08-22,10:20:44 | INFO | Train Epoch: 4 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.56740 (0.53873) Boundary_loss: 0.012904 (0.013070) Loss: 0.58030 (0.55180) +2025-08-22,10:21:49 | INFO | Train Epoch: 4 [12954112/26365952 (49%)] Avg Boundaries (per batch): 18.990 Boundary Ratio: 0.097 Contrastive_loss: 0.52972 (0.53870) Boundary_loss: 0.013006 (0.013069) Loss: 0.54272 (0.55176) +2025-08-22,10:22:54 | INFO | Train Epoch: 4 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.55301 (0.53875) Boundary_loss: 0.012965 (0.013069) Loss: 0.56597 (0.55182) +2025-08-22,10:24:00 | INFO | Train Epoch: 4 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.50312 (0.53861) Boundary_loss: 0.013066 (0.013069) Loss: 0.51618 (0.55168) +2025-08-22,10:25:05 | INFO | Train Epoch: 4 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.59557 (0.53883) Boundary_loss: 0.013091 (0.013069) Loss: 0.60866 (0.55190) +2025-08-22,10:26:10 | INFO | Train Epoch: 4 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.54419 (0.53885) Boundary_loss: 0.013002 (0.013069) Loss: 0.55720 (0.55192) +2025-08-22,10:27:15 | INFO | Train Epoch: 4 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.50455 (0.53872) Boundary_loss: 0.012962 (0.013068) Loss: 0.51751 (0.55179) +2025-08-22,10:28:21 | INFO | Train Epoch: 4 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.54900 (0.53876) Boundary_loss: 0.013199 (0.013069) Loss: 0.56220 (0.55183) +2025-08-22,10:29:26 | INFO | Train Epoch: 4 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.46277 (0.53847) Boundary_loss: 0.012969 (0.013069) Loss: 0.47574 (0.55154) +2025-08-22,10:30:31 | INFO | Train Epoch: 4 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.56386 (0.53857) Boundary_loss: 0.013093 (0.013069) Loss: 0.57695 (0.55164) +2025-08-22,10:31:36 | INFO | Train Epoch: 4 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.50570 (0.53844) Boundary_loss: 0.013026 (0.013068) Loss: 0.51873 (0.55151) +2025-08-22,10:32:41 | INFO | Train Epoch: 4 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.55662 (0.53851) Boundary_loss: 0.013144 (0.013069) Loss: 0.56976 (0.55158) +2025-08-22,10:33:47 | INFO | Train Epoch: 4 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.49784 (0.53836) Boundary_loss: 0.013133 (0.013069) Loss: 0.51097 (0.55143) +2025-08-22,10:34:52 | INFO | Train Epoch: 4 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.51275 (0.53826) Boundary_loss: 0.013034 (0.013069) Loss: 0.52578 (0.55133) +2025-08-22,10:35:57 | INFO | Train Epoch: 4 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.50437 (0.53813) Boundary_loss: 0.013016 (0.013069) Loss: 0.51739 (0.55120) +2025-08-22,10:37:02 | INFO | Train Epoch: 4 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.46840 (0.53787) Boundary_loss: 0.012967 (0.013068) Loss: 0.48136 (0.55094) +2025-08-22,10:38:07 | INFO | Train Epoch: 4 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.59820 (0.53810) Boundary_loss: 0.012925 (0.013068) Loss: 0.61112 (0.55117) +2025-08-22,10:39:13 | INFO | Train Epoch: 4 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.51086 (0.53800) Boundary_loss: 0.013036 (0.013068) Loss: 0.52390 (0.55107) +2025-08-22,10:40:18 | INFO | Train Epoch: 4 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.66477 (0.53847) Boundary_loss: 0.013091 (0.013068) Loss: 0.67786 (0.55153) +2025-08-22,10:41:23 | INFO | Train Epoch: 4 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.56097 (0.53855) Boundary_loss: 0.013017 (0.013068) Loss: 0.57398 (0.55162) +2025-08-22,10:42:28 | INFO | Train Epoch: 4 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.61202 (0.53882) Boundary_loss: 0.012926 (0.013067) Loss: 0.62495 (0.55188) +2025-08-22,10:43:33 | INFO | Train Epoch: 4 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.52427 (0.53876) Boundary_loss: 0.013058 (0.013067) Loss: 0.53733 (0.55183) +2025-08-22,10:44:39 | INFO | Train Epoch: 4 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.44445 (0.53842) Boundary_loss: 0.012939 (0.013067) Loss: 0.45739 (0.55149) +2025-08-22,10:45:44 | INFO | Train Epoch: 4 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.61634 (0.53870) Boundary_loss: 0.013033 (0.013066) Loss: 0.62938 (0.55177) +2025-08-22,10:46:49 | INFO | Train Epoch: 4 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.60609 (0.53895) Boundary_loss: 0.013049 (0.013066) Loss: 0.61914 (0.55201) +2025-08-22,10:47:54 | INFO | Train Epoch: 4 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.54040 (0.53895) Boundary_loss: 0.013066 (0.013066) Loss: 0.55346 (0.55202) +2025-08-22,10:48:59 | INFO | Train Epoch: 4 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.52690 (0.53891) Boundary_loss: 0.013054 (0.013066) Loss: 0.53995 (0.55198) +2025-08-22,10:50:04 | INFO | Train Epoch: 4 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.53317 (0.53889) Boundary_loss: 0.013131 (0.013067) Loss: 0.54630 (0.55195) +2025-08-22,10:51:10 | INFO | Train Epoch: 4 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.41569 (0.53845) Boundary_loss: 0.013034 (0.013066) Loss: 0.42872 (0.55152) +2025-08-22,10:52:15 | INFO | Train Epoch: 4 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.48368 (0.53826) Boundary_loss: 0.013134 (0.013067) Loss: 0.49682 (0.55132) +2025-08-22,10:53:20 | INFO | Train Epoch: 4 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.49477 (0.53810) Boundary_loss: 0.013022 (0.013066) Loss: 0.50780 (0.55117) +2025-08-22,10:54:25 | INFO | Train Epoch: 4 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.47031 (0.53786) Boundary_loss: 0.013068 (0.013066) Loss: 0.48338 (0.55093) +2025-08-22,10:55:30 | INFO | Train Epoch: 4 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.43370 (0.53750) Boundary_loss: 0.013010 (0.013066) Loss: 0.44671 (0.55056) +2025-08-22,10:56:35 | INFO | Train Epoch: 4 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.58714 (0.53767) Boundary_loss: 0.012907 (0.013066) Loss: 0.60004 (0.55074) +2025-08-22,10:57:41 | INFO | Train Epoch: 4 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.47615 (0.53746) Boundary_loss: 0.013110 (0.013066) Loss: 0.48926 (0.55052) +2025-08-22,10:58:46 | INFO | Train Epoch: 4 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 0.47783 (0.53725) Boundary_loss: 0.012981 (0.013066) Loss: 0.49081 (0.55032) +2025-08-22,10:59:51 | INFO | Train Epoch: 4 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.51766 (0.53718) Boundary_loss: 0.012985 (0.013065) Loss: 0.53065 (0.55025) +2025-08-22,11:00:56 | INFO | Train Epoch: 4 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.69728 (0.53773) Boundary_loss: 0.013144 (0.013066) Loss: 0.71043 (0.55080) +2025-08-22,11:02:01 | INFO | Train Epoch: 4 [14848512/26365952 (56%)] Avg Boundaries (per batch): 18.924 Boundary Ratio: 0.097 Contrastive_loss: 0.55770 (0.53780) Boundary_loss: 0.013071 (0.013066) Loss: 0.57077 (0.55087) +2025-08-22,11:03:06 | INFO | Train Epoch: 4 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.55414 (0.53786) Boundary_loss: 0.012989 (0.013065) Loss: 0.56713 (0.55092) +2025-08-22,11:04:12 | INFO | Train Epoch: 4 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.49339 (0.53771) Boundary_loss: 0.012985 (0.013065) Loss: 0.50638 (0.55077) +2025-08-22,11:05:17 | INFO | Train Epoch: 4 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.51676 (0.53764) Boundary_loss: 0.013087 (0.013065) Loss: 0.52985 (0.55070) +2025-08-22,11:06:22 | INFO | Train Epoch: 4 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.52084 (0.53758) Boundary_loss: 0.012995 (0.013065) Loss: 0.53384 (0.55064) +2025-08-22,11:07:27 | INFO | Train Epoch: 4 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.670 Boundary Ratio: 0.100 Contrastive_loss: 0.58548 (0.53774) Boundary_loss: 0.013190 (0.013065) Loss: 0.59867 (0.55081) +2025-08-22,11:08:33 | INFO | Train Epoch: 4 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.48756 (0.53757) Boundary_loss: 0.013035 (0.013065) Loss: 0.50059 (0.55064) +2025-08-22,11:09:38 | INFO | Train Epoch: 4 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.60799 (0.53781) Boundary_loss: 0.012936 (0.013065) Loss: 0.62092 (0.55087) +2025-08-22,11:10:43 | INFO | Train Epoch: 4 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.54485 (0.53783) Boundary_loss: 0.013106 (0.013065) Loss: 0.55795 (0.55090) +2025-08-22,11:11:48 | INFO | Train Epoch: 4 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 0.56788 (0.53793) Boundary_loss: 0.013149 (0.013065) Loss: 0.58103 (0.55100) +2025-08-22,11:12:53 | INFO | Train Epoch: 4 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 0.52177 (0.53788) Boundary_loss: 0.013063 (0.013065) Loss: 0.53484 (0.55094) +2025-08-22,11:13:58 | INFO | Train Epoch: 4 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.43786 (0.53755) Boundary_loss: 0.013025 (0.013065) Loss: 0.45089 (0.55061) +2025-08-22,11:15:04 | INFO | Train Epoch: 4 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.53889 (0.53755) Boundary_loss: 0.012998 (0.013065) Loss: 0.55188 (0.55062) +2025-08-22,11:16:09 | INFO | Train Epoch: 4 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.686 Boundary Ratio: 0.100 Contrastive_loss: 0.55136 (0.53760) Boundary_loss: 0.012966 (0.013065) Loss: 0.56432 (0.55066) +2025-08-22,11:17:14 | INFO | Train Epoch: 4 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.45085 (0.53731) Boundary_loss: 0.012952 (0.013064) Loss: 0.46380 (0.55038) +2025-08-22,11:18:19 | INFO | Train Epoch: 4 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.45800 (0.53705) Boundary_loss: 0.013010 (0.013064) Loss: 0.47101 (0.55012) +2025-08-22,11:19:24 | INFO | Train Epoch: 4 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.59569 (0.53724) Boundary_loss: 0.013075 (0.013064) Loss: 0.60876 (0.55031) +2025-08-22,11:20:30 | INFO | Train Epoch: 4 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.47763 (0.53705) Boundary_loss: 0.013141 (0.013064) Loss: 0.49077 (0.55011) +2025-08-22,11:21:35 | INFO | Train Epoch: 4 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.50076 (0.53693) Boundary_loss: 0.013211 (0.013065) Loss: 0.51397 (0.55000) +2025-08-22,11:22:40 | INFO | Train Epoch: 4 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.48954 (0.53678) Boundary_loss: 0.013055 (0.013065) Loss: 0.50260 (0.54984) +2025-08-22,11:23:45 | INFO | Train Epoch: 4 [15872512/26365952 (60%)] Avg Boundaries (per batch): 18.629 Boundary Ratio: 0.095 Contrastive_loss: 0.54738 (0.53681) Boundary_loss: 0.013098 (0.013065) Loss: 0.56048 (0.54988) +2025-08-22,11:24:50 | INFO | Train Epoch: 4 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.58682 (0.53697) Boundary_loss: 0.013063 (0.013065) Loss: 0.59988 (0.55004) +2025-08-22,11:25:56 | INFO | Train Epoch: 4 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.55703 (0.53704) Boundary_loss: 0.013002 (0.013065) Loss: 0.57003 (0.55010) +2025-08-22,11:27:01 | INFO | Train Epoch: 4 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.54984 (0.53708) Boundary_loss: 0.013001 (0.013064) Loss: 0.56284 (0.55014) +2025-08-22,11:28:06 | INFO | Train Epoch: 4 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.51983 (0.53702) Boundary_loss: 0.013103 (0.013065) Loss: 0.53293 (0.55009) +2025-08-22,11:29:11 | INFO | Train Epoch: 4 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.47560 (0.53683) Boundary_loss: 0.012924 (0.013064) Loss: 0.48852 (0.54989) +2025-08-22,11:30:16 | INFO | Train Epoch: 4 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.52761 (0.53680) Boundary_loss: 0.012988 (0.013064) Loss: 0.54060 (0.54987) +2025-08-22,11:31:22 | INFO | Train Epoch: 4 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.39711 (0.53636) Boundary_loss: 0.012998 (0.013064) Loss: 0.41011 (0.54943) +2025-08-22,11:32:27 | INFO | Train Epoch: 4 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.48021 (0.53619) Boundary_loss: 0.013036 (0.013064) Loss: 0.49324 (0.54925) +2025-08-22,11:33:32 | INFO | Train Epoch: 4 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.55824 (0.53625) Boundary_loss: 0.013097 (0.013064) Loss: 0.57134 (0.54932) +2025-08-22,11:34:37 | INFO | Train Epoch: 4 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.56517 (0.53634) Boundary_loss: 0.012938 (0.013063) Loss: 0.57811 (0.54941) +2025-08-22,11:35:42 | INFO | Train Epoch: 4 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 0.53030 (0.53633) Boundary_loss: 0.013207 (0.013064) Loss: 0.54351 (0.54939) +2025-08-22,11:36:47 | INFO | Train Epoch: 4 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.46547 (0.53611) Boundary_loss: 0.013110 (0.013064) Loss: 0.47858 (0.54917) +2025-08-22,11:37:53 | INFO | Train Epoch: 4 [16538112/26365952 (63%)] Avg Boundaries (per batch): 18.932 Boundary Ratio: 0.097 Contrastive_loss: 0.50248 (0.53600) Boundary_loss: 0.013046 (0.013064) Loss: 0.51553 (0.54907) +2025-08-22,11:38:58 | INFO | Train Epoch: 4 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.53890 (0.53601) Boundary_loss: 0.013008 (0.013064) Loss: 0.55191 (0.54908) +2025-08-22,11:40:03 | INFO | Train Epoch: 4 [16640512/26365952 (63%)] Avg Boundaries (per batch): 18.908 Boundary Ratio: 0.096 Contrastive_loss: 0.52365 (0.53597) Boundary_loss: 0.013074 (0.013064) Loss: 0.53673 (0.54904) +2025-08-22,11:41:08 | INFO | Train Epoch: 4 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.49798 (0.53586) Boundary_loss: 0.013080 (0.013064) Loss: 0.51106 (0.54892) +2025-08-22,11:42:13 | INFO | Train Epoch: 4 [16742912/26365952 (64%)] Avg Boundaries (per batch): 18.918 Boundary Ratio: 0.097 Contrastive_loss: 0.58989 (0.53602) Boundary_loss: 0.012929 (0.013063) Loss: 0.60282 (0.54909) +2025-08-22,11:43:18 | INFO | Train Epoch: 4 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.65285 (0.53638) Boundary_loss: 0.013090 (0.013063) Loss: 0.66594 (0.54944) +2025-08-22,11:44:24 | INFO | Train Epoch: 4 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.44280 (0.53609) Boundary_loss: 0.013213 (0.013064) Loss: 0.45601 (0.54916) +2025-08-22,11:45:29 | INFO | Train Epoch: 4 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.58490 (0.53624) Boundary_loss: 0.013024 (0.013064) Loss: 0.59792 (0.54931) +2025-08-22,11:46:34 | INFO | Train Epoch: 4 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.51994 (0.53619) Boundary_loss: 0.013082 (0.013064) Loss: 0.53302 (0.54926) +2025-08-22,11:47:39 | INFO | Train Epoch: 4 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.51885 (0.53614) Boundary_loss: 0.013024 (0.013064) Loss: 0.53187 (0.54920) +2025-08-22,11:48:44 | INFO | Train Epoch: 4 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.53653 (0.53614) Boundary_loss: 0.013024 (0.013064) Loss: 0.54956 (0.54921) +2025-08-22,11:49:50 | INFO | Train Epoch: 4 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.51280 (0.53607) Boundary_loss: 0.013011 (0.013063) Loss: 0.52581 (0.54914) +2025-08-22,11:50:55 | INFO | Train Epoch: 4 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.62293 (0.53633) Boundary_loss: 0.013103 (0.013063) Loss: 0.63603 (0.54939) +2025-08-22,11:52:00 | INFO | Train Epoch: 4 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.49397 (0.53620) Boundary_loss: 0.013177 (0.013064) Loss: 0.50715 (0.54927) +2025-08-22,11:53:05 | INFO | Train Epoch: 4 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.47880 (0.53603) Boundary_loss: 0.012964 (0.013064) Loss: 0.49177 (0.54910) +2025-08-22,11:54:10 | INFO | Train Epoch: 4 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.62446 (0.53630) Boundary_loss: 0.012967 (0.013063) Loss: 0.63743 (0.54936) +2025-08-22,11:55:15 | INFO | Train Epoch: 4 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.53825 (0.53630) Boundary_loss: 0.012949 (0.013063) Loss: 0.55120 (0.54936) +2025-08-22,11:56:20 | INFO | Train Epoch: 4 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.51499 (0.53624) Boundary_loss: 0.013042 (0.013063) Loss: 0.52803 (0.54930) +2025-08-22,11:57:26 | INFO | Train Epoch: 4 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.54005 (0.53625) Boundary_loss: 0.012989 (0.013063) Loss: 0.55304 (0.54931) +2025-08-22,11:58:31 | INFO | Train Epoch: 4 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.48852 (0.53611) Boundary_loss: 0.013101 (0.013063) Loss: 0.50162 (0.54917) +2025-08-22,11:59:36 | INFO | Train Epoch: 4 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.54788 (0.53615) Boundary_loss: 0.013108 (0.013063) Loss: 0.56098 (0.54921) +2025-08-22,12:00:41 | INFO | Train Epoch: 4 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.51807 (0.53609) Boundary_loss: 0.012933 (0.013063) Loss: 0.53100 (0.54916) +2025-08-22,12:01:46 | INFO | Train Epoch: 4 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.55455 (0.53615) Boundary_loss: 0.013012 (0.013062) Loss: 0.56756 (0.54921) +2025-08-22,12:02:51 | INFO | Train Epoch: 4 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.41671 (0.53580) Boundary_loss: 0.013018 (0.013062) Loss: 0.42973 (0.54886) +2025-08-22,12:03:56 | INFO | Train Epoch: 4 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.50157 (0.53570) Boundary_loss: 0.013001 (0.013062) Loss: 0.51457 (0.54877) +2025-08-22,12:05:02 | INFO | Train Epoch: 4 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.61303 (0.53592) Boundary_loss: 0.012951 (0.013062) Loss: 0.62598 (0.54899) +2025-08-22,12:06:07 | INFO | Train Epoch: 4 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.47570 (0.53575) Boundary_loss: 0.013118 (0.013062) Loss: 0.48882 (0.54881) +2025-08-22,12:07:12 | INFO | Train Epoch: 4 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.53582 (0.53575) Boundary_loss: 0.013006 (0.013062) Loss: 0.54883 (0.54881) +2025-08-22,12:08:17 | INFO | Train Epoch: 4 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.51071 (0.53568) Boundary_loss: 0.013048 (0.013062) Loss: 0.52376 (0.54874) +2025-08-22,12:09:22 | INFO | Train Epoch: 4 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.64003 (0.53598) Boundary_loss: 0.012982 (0.013061) Loss: 0.65302 (0.54904) +2025-08-22,12:10:27 | INFO | Train Epoch: 4 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.53048 (0.53596) Boundary_loss: 0.013070 (0.013062) Loss: 0.54355 (0.54902) +2025-08-22,12:11:33 | INFO | Train Epoch: 4 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.53207 (0.53595) Boundary_loss: 0.013004 (0.013061) Loss: 0.54507 (0.54901) +2025-08-22,12:12:38 | INFO | Train Epoch: 4 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.676 Boundary Ratio: 0.100 Contrastive_loss: 0.45561 (0.53573) Boundary_loss: 0.013056 (0.013061) Loss: 0.46867 (0.54879) +2025-08-22,12:13:43 | INFO | Train Epoch: 4 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.58205 (0.53586) Boundary_loss: 0.013109 (0.013061) Loss: 0.59516 (0.54892) +2025-08-22,12:14:48 | INFO | Train Epoch: 4 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.55967 (0.53592) Boundary_loss: 0.013052 (0.013061) Loss: 0.57273 (0.54898) +2025-08-22,12:15:53 | INFO | Train Epoch: 4 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.44333 (0.53566) Boundary_loss: 0.012924 (0.013061) Loss: 0.45625 (0.54872) +2025-08-22,12:16:58 | INFO | Train Epoch: 4 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.50979 (0.53559) Boundary_loss: 0.013156 (0.013061) Loss: 0.52294 (0.54865) +2025-08-22,12:18:04 | INFO | Train Epoch: 4 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.525 Boundary Ratio: 0.100 Contrastive_loss: 0.51111 (0.53552) Boundary_loss: 0.013050 (0.013061) Loss: 0.52416 (0.54859) +2025-08-22,12:19:09 | INFO | Train Epoch: 4 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.45129 (0.53529) Boundary_loss: 0.013104 (0.013061) Loss: 0.46439 (0.54835) +2025-08-22,12:20:14 | INFO | Train Epoch: 4 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.48955 (0.53517) Boundary_loss: 0.013082 (0.013061) Loss: 0.50263 (0.54823) +2025-08-22,12:21:19 | INFO | Train Epoch: 4 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.54990 (0.53521) Boundary_loss: 0.013211 (0.013062) Loss: 0.56311 (0.54827) +2025-08-22,12:22:24 | INFO | Train Epoch: 4 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.48436 (0.53507) Boundary_loss: 0.013099 (0.013062) Loss: 0.49745 (0.54813) +2025-08-22,12:23:29 | INFO | Train Epoch: 4 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.52619 (0.53504) Boundary_loss: 0.013086 (0.013062) Loss: 0.53928 (0.54810) +2025-08-22,12:24:35 | INFO | Train Epoch: 4 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.59161 (0.53520) Boundary_loss: 0.013106 (0.013062) Loss: 0.60472 (0.54826) +2025-08-22,12:25:40 | INFO | Train Epoch: 4 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.51624 (0.53514) Boundary_loss: 0.013085 (0.013062) Loss: 0.52932 (0.54821) +2025-08-22,12:26:45 | INFO | Train Epoch: 4 [18842112/26365952 (71%)] Avg Boundaries (per batch): 18.932 Boundary Ratio: 0.097 Contrastive_loss: 0.53600 (0.53515) Boundary_loss: 0.013067 (0.013062) Loss: 0.54906 (0.54821) +2025-08-22,12:27:50 | INFO | Train Epoch: 4 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.52211 (0.53511) Boundary_loss: 0.013073 (0.013062) Loss: 0.53518 (0.54817) +2025-08-22,12:28:55 | INFO | Train Epoch: 4 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.47427 (0.53495) Boundary_loss: 0.013197 (0.013063) Loss: 0.48746 (0.54801) +2025-08-22,12:30:00 | INFO | Train Epoch: 4 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.51818 (0.53490) Boundary_loss: 0.013106 (0.013063) Loss: 0.53128 (0.54797) +2025-08-22,12:31:05 | INFO | Train Epoch: 4 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.50748 (0.53483) Boundary_loss: 0.013043 (0.013063) Loss: 0.52052 (0.54789) +2025-08-22,12:32:11 | INFO | Train Epoch: 4 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.57001 (0.53492) Boundary_loss: 0.012952 (0.013062) Loss: 0.58296 (0.54799) +2025-08-22,12:33:16 | INFO | Train Epoch: 4 [19149312/26365952 (73%)] Avg Boundaries (per batch): 18.855 Boundary Ratio: 0.096 Contrastive_loss: 0.45958 (0.53472) Boundary_loss: 0.013197 (0.013063) Loss: 0.47278 (0.54779) +2025-08-22,12:34:21 | INFO | Train Epoch: 4 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.49014 (0.53460) Boundary_loss: 0.013102 (0.013063) Loss: 0.50325 (0.54767) +2025-08-22,12:35:26 | INFO | Train Epoch: 4 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.46338 (0.53442) Boundary_loss: 0.013128 (0.013063) Loss: 0.47651 (0.54748) +2025-08-22,12:36:31 | INFO | Train Epoch: 4 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.47355 (0.53425) Boundary_loss: 0.012901 (0.013063) Loss: 0.48645 (0.54732) +2025-08-22,12:37:37 | INFO | Train Epoch: 4 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.729 Boundary Ratio: 0.101 Contrastive_loss: 0.59047 (0.53440) Boundary_loss: 0.013138 (0.013063) Loss: 0.60361 (0.54747) +2025-08-22,12:38:42 | INFO | Train Epoch: 4 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.56111 (0.53447) Boundary_loss: 0.013010 (0.013063) Loss: 0.57412 (0.54754) +2025-08-22,12:39:47 | INFO | Train Epoch: 4 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.40932 (0.53414) Boundary_loss: 0.013069 (0.013063) Loss: 0.42239 (0.54721) +2025-08-22,12:40:52 | INFO | Train Epoch: 4 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.58628 (0.53428) Boundary_loss: 0.013108 (0.013063) Loss: 0.59939 (0.54734) +2025-08-22,12:41:57 | INFO | Train Epoch: 4 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.51520 (0.53423) Boundary_loss: 0.013102 (0.013063) Loss: 0.52830 (0.54729) +2025-08-22,12:43:02 | INFO | Train Epoch: 4 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.52964 (0.53422) Boundary_loss: 0.013053 (0.013063) Loss: 0.54270 (0.54728) +2025-08-22,12:44:07 | INFO | Train Epoch: 4 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.50437 (0.53414) Boundary_loss: 0.013053 (0.013063) Loss: 0.51743 (0.54720) +2025-08-22,12:45:13 | INFO | Train Epoch: 4 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.637 Boundary Ratio: 0.100 Contrastive_loss: 0.53151 (0.53413) Boundary_loss: 0.013037 (0.013063) Loss: 0.54454 (0.54720) +2025-08-22,12:46:18 | INFO | Train Epoch: 4 [19763712/26365952 (75%)] Avg Boundaries (per batch): 18.988 Boundary Ratio: 0.097 Contrastive_loss: 0.54657 (0.53417) Boundary_loss: 0.013140 (0.013063) Loss: 0.55971 (0.54723) +2025-08-22,12:47:23 | INFO | Train Epoch: 4 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.54849 (0.53420) Boundary_loss: 0.013151 (0.013063) Loss: 0.56164 (0.54727) +2025-08-22,12:48:28 | INFO | Train Epoch: 4 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.53899 (0.53422) Boundary_loss: 0.013038 (0.013063) Loss: 0.55202 (0.54728) +2025-08-22,12:49:33 | INFO | Train Epoch: 4 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.54812 (0.53425) Boundary_loss: 0.013022 (0.013063) Loss: 0.56114 (0.54731) +2025-08-22,12:50:39 | INFO | Train Epoch: 4 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.47040 (0.53409) Boundary_loss: 0.013115 (0.013063) Loss: 0.48351 (0.54715) +2025-08-22,12:51:44 | INFO | Train Epoch: 4 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.56734 (0.53417) Boundary_loss: 0.013078 (0.013063) Loss: 0.58042 (0.54724) +2025-08-22,12:52:49 | INFO | Train Epoch: 4 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.55428 (0.53422) Boundary_loss: 0.012967 (0.013063) Loss: 0.56725 (0.54729) +2025-08-22,12:53:54 | INFO | Train Epoch: 4 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.47158 (0.53407) Boundary_loss: 0.013045 (0.013063) Loss: 0.48463 (0.54713) +2025-08-22,12:54:59 | INFO | Train Epoch: 4 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.52519 (0.53404) Boundary_loss: 0.013092 (0.013063) Loss: 0.53828 (0.54711) +2025-08-22,12:56:04 | INFO | Train Epoch: 4 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.53674 (0.53405) Boundary_loss: 0.013062 (0.013063) Loss: 0.54980 (0.54711) +2025-08-22,12:57:09 | INFO | Train Epoch: 4 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.44294 (0.53382) Boundary_loss: 0.013103 (0.013063) Loss: 0.45604 (0.54688) +2025-08-22,12:58:15 | INFO | Train Epoch: 4 [20326912/26365952 (77%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.50579 (0.53375) Boundary_loss: 0.013016 (0.013063) Loss: 0.51881 (0.54681) +2025-08-22,12:59:20 | INFO | Train Epoch: 4 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.44693 (0.53353) Boundary_loss: 0.013081 (0.013063) Loss: 0.46001 (0.54660) +2025-08-22,13:00:25 | INFO | Train Epoch: 4 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.48789 (0.53342) Boundary_loss: 0.012833 (0.013062) Loss: 0.50073 (0.54648) +2025-08-22,13:01:30 | INFO | Train Epoch: 4 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 0.53730 (0.53343) Boundary_loss: 0.013068 (0.013062) Loss: 0.55037 (0.54649) +2025-08-22,13:02:35 | INFO | Train Epoch: 4 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.56140 (0.53350) Boundary_loss: 0.013068 (0.013062) Loss: 0.57447 (0.54656) +2025-08-22,13:03:41 | INFO | Train Epoch: 4 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.54071 (0.53352) Boundary_loss: 0.012987 (0.013062) Loss: 0.55370 (0.54658) +2025-08-22,13:04:46 | INFO | Train Epoch: 4 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.51343 (0.53347) Boundary_loss: 0.012959 (0.013062) Loss: 0.52639 (0.54653) +2025-08-22,13:05:51 | INFO | Train Epoch: 4 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.48419 (0.53334) Boundary_loss: 0.012999 (0.013062) Loss: 0.49719 (0.54641) +2025-08-22,13:06:56 | INFO | Train Epoch: 4 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.53027 (0.53334) Boundary_loss: 0.013077 (0.013062) Loss: 0.54335 (0.54640) +2025-08-22,13:08:01 | INFO | Train Epoch: 4 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.52611 (0.53332) Boundary_loss: 0.013014 (0.013062) Loss: 0.53912 (0.54638) +2025-08-22,13:09:06 | INFO | Train Epoch: 4 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.56100 (0.53339) Boundary_loss: 0.012989 (0.013062) Loss: 0.57399 (0.54645) +2025-08-22,13:10:12 | INFO | Train Epoch: 4 [20890112/26365952 (79%)] Avg Boundaries (per batch): 18.918 Boundary Ratio: 0.097 Contrastive_loss: 0.53235 (0.53338) Boundary_loss: 0.012978 (0.013061) Loss: 0.54533 (0.54645) +2025-08-22,13:11:17 | INFO | Train Epoch: 4 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.53128 (0.53338) Boundary_loss: 0.013037 (0.013061) Loss: 0.54432 (0.54644) +2025-08-22,13:12:22 | INFO | Train Epoch: 4 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.55575 (0.53343) Boundary_loss: 0.013033 (0.013061) Loss: 0.56878 (0.54649) +2025-08-22,13:13:27 | INFO | Train Epoch: 4 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.48649 (0.53332) Boundary_loss: 0.013044 (0.013061) Loss: 0.49954 (0.54638) +2025-08-22,13:14:32 | INFO | Train Epoch: 4 [21094912/26365952 (80%)] Avg Boundaries (per batch): 18.979 Boundary Ratio: 0.097 Contrastive_loss: 0.61462 (0.53352) Boundary_loss: 0.013103 (0.013061) Loss: 0.62772 (0.54658) +2025-08-22,13:15:37 | INFO | Train Epoch: 4 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.44857 (0.53331) Boundary_loss: 0.013108 (0.013061) Loss: 0.46168 (0.54637) +2025-08-22,13:16:42 | INFO | Train Epoch: 4 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.48867 (0.53320) Boundary_loss: 0.012989 (0.013061) Loss: 0.50166 (0.54626) +2025-08-22,13:17:48 | INFO | Train Epoch: 4 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.53969 (0.53322) Boundary_loss: 0.012994 (0.013061) Loss: 0.55269 (0.54628) +2025-08-22,13:18:53 | INFO | Train Epoch: 4 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.48973 (0.53311) Boundary_loss: 0.013025 (0.013061) Loss: 0.50275 (0.54618) +2025-08-22,13:19:58 | INFO | Train Epoch: 4 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.52514 (0.53310) Boundary_loss: 0.013022 (0.013061) Loss: 0.53817 (0.54616) +2025-08-22,13:21:03 | INFO | Train Epoch: 4 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 0.49899 (0.53301) Boundary_loss: 0.012873 (0.013060) Loss: 0.51187 (0.54607) +2025-08-22,13:22:08 | INFO | Train Epoch: 4 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.48448 (0.53290) Boundary_loss: 0.013092 (0.013061) Loss: 0.49757 (0.54596) +2025-08-22,13:23:14 | INFO | Train Epoch: 4 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.56031 (0.53296) Boundary_loss: 0.013128 (0.013061) Loss: 0.57344 (0.54602) +2025-08-22,13:24:19 | INFO | Train Epoch: 4 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.53650 (0.53297) Boundary_loss: 0.013103 (0.013061) Loss: 0.54960 (0.54603) +2025-08-22,13:25:24 | INFO | Train Epoch: 4 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.45444 (0.53279) Boundary_loss: 0.012957 (0.013061) Loss: 0.46740 (0.54585) +2025-08-22,13:26:29 | INFO | Train Epoch: 4 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.55780 (0.53285) Boundary_loss: 0.013015 (0.013060) Loss: 0.57081 (0.54591) +2025-08-22,13:27:34 | INFO | Train Epoch: 4 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.48504 (0.53273) Boundary_loss: 0.013096 (0.013061) Loss: 0.49814 (0.54579) +2025-08-22,13:28:39 | INFO | Train Epoch: 4 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.56119 (0.53280) Boundary_loss: 0.012985 (0.013060) Loss: 0.57418 (0.54586) +2025-08-22,13:29:44 | INFO | Train Epoch: 4 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.44190 (0.53259) Boundary_loss: 0.012924 (0.013060) Loss: 0.45483 (0.54565) +2025-08-22,13:30:50 | INFO | Train Epoch: 4 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.55006 (0.53263) Boundary_loss: 0.012988 (0.013060) Loss: 0.56305 (0.54569) +2025-08-22,13:31:55 | INFO | Train Epoch: 4 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.46106 (0.53246) Boundary_loss: 0.013045 (0.013060) Loss: 0.47410 (0.54552) +2025-08-22,13:33:00 | INFO | Train Epoch: 4 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.46128 (0.53230) Boundary_loss: 0.012898 (0.013059) Loss: 0.47418 (0.54535) +2025-08-22,13:34:05 | INFO | Train Epoch: 4 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.49615 (0.53221) Boundary_loss: 0.013004 (0.013059) Loss: 0.50915 (0.54527) +2025-08-22,13:35:10 | INFO | Train Epoch: 4 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.53477 (0.53222) Boundary_loss: 0.013001 (0.013059) Loss: 0.54777 (0.54528) +2025-08-22,13:36:15 | INFO | Train Epoch: 4 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.47201 (0.53208) Boundary_loss: 0.013048 (0.013059) Loss: 0.48506 (0.54514) +2025-08-22,13:37:20 | INFO | Train Epoch: 4 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 0.48527 (0.53197) Boundary_loss: 0.013080 (0.013059) Loss: 0.49835 (0.54503) +2025-08-22,13:38:25 | INFO | Train Epoch: 4 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.56248 (0.53204) Boundary_loss: 0.013099 (0.013059) Loss: 0.57558 (0.54510) +2025-08-22,13:39:30 | INFO | Train Epoch: 4 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.46976 (0.53190) Boundary_loss: 0.012968 (0.013059) Loss: 0.48273 (0.54496) +2025-08-22,13:40:35 | INFO | Train Epoch: 4 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.45989 (0.53173) Boundary_loss: 0.013090 (0.013059) Loss: 0.47299 (0.54479) +2025-08-22,13:41:41 | INFO | Train Epoch: 4 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 0.47920 (0.53161) Boundary_loss: 0.013035 (0.013059) Loss: 0.49223 (0.54467) +2025-08-22,13:42:46 | INFO | Train Epoch: 4 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.47043 (0.53147) Boundary_loss: 0.013110 (0.013059) Loss: 0.48354 (0.54453) +2025-08-22,13:43:51 | INFO | Train Epoch: 4 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.54912 (0.53151) Boundary_loss: 0.012996 (0.013059) Loss: 0.56212 (0.54457) +2025-08-22,13:44:56 | INFO | Train Epoch: 4 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.47840 (0.53139) Boundary_loss: 0.013082 (0.013059) Loss: 0.49148 (0.54445) +2025-08-22,13:46:01 | INFO | Train Epoch: 4 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.50261 (0.53133) Boundary_loss: 0.013004 (0.013059) Loss: 0.51561 (0.54439) +2025-08-22,13:47:06 | INFO | Train Epoch: 4 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.54426 (0.53136) Boundary_loss: 0.012993 (0.013059) Loss: 0.55725 (0.54442) +2025-08-22,13:48:11 | INFO | Train Epoch: 4 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.52834 (0.53135) Boundary_loss: 0.012970 (0.013059) Loss: 0.54131 (0.54441) +2025-08-22,13:49:16 | INFO | Train Epoch: 4 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.57418 (0.53145) Boundary_loss: 0.013048 (0.013059) Loss: 0.58723 (0.54451) +2025-08-22,13:50:21 | INFO | Train Epoch: 4 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.53748 (0.53146) Boundary_loss: 0.013074 (0.013059) Loss: 0.55056 (0.54452) +2025-08-22,13:51:26 | INFO | Train Epoch: 4 [22835712/26365952 (87%)] Avg Boundaries (per batch): 18.980 Boundary Ratio: 0.097 Contrastive_loss: 0.48621 (0.53136) Boundary_loss: 0.013024 (0.013059) Loss: 0.49923 (0.54442) +2025-08-22,13:52:31 | INFO | Train Epoch: 4 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.54355 (0.53139) Boundary_loss: 0.012933 (0.013058) Loss: 0.55648 (0.54444) +2025-08-22,13:53:37 | INFO | Train Epoch: 4 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.54879 (0.53143) Boundary_loss: 0.013026 (0.013058) Loss: 0.56181 (0.54448) +2025-08-22,13:54:42 | INFO | Train Epoch: 4 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.57603 (0.53152) Boundary_loss: 0.012948 (0.013058) Loss: 0.58898 (0.54458) +2025-08-22,13:55:47 | INFO | Train Epoch: 4 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.45508 (0.53135) Boundary_loss: 0.013022 (0.013058) Loss: 0.46810 (0.54441) +2025-08-22,13:56:52 | INFO | Train Epoch: 4 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.59502 (0.53150) Boundary_loss: 0.012917 (0.013058) Loss: 0.60794 (0.54455) +2025-08-22,13:57:57 | INFO | Train Epoch: 4 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.50690 (0.53144) Boundary_loss: 0.012985 (0.013057) Loss: 0.51989 (0.54450) +2025-08-22,13:59:02 | INFO | Train Epoch: 4 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.49638 (0.53136) Boundary_loss: 0.013083 (0.013058) Loss: 0.50946 (0.54442) +2025-08-22,14:00:07 | INFO | Train Epoch: 4 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 0.51233 (0.53132) Boundary_loss: 0.013056 (0.013058) Loss: 0.52538 (0.54438) +2025-08-22,14:01:12 | INFO | Train Epoch: 4 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.46789 (0.53118) Boundary_loss: 0.013103 (0.013058) Loss: 0.48099 (0.54424) +2025-08-22,14:02:17 | INFO | Train Epoch: 4 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.53636 (0.53119) Boundary_loss: 0.013001 (0.013057) Loss: 0.54936 (0.54425) +2025-08-22,14:03:22 | INFO | Train Epoch: 4 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.58601 (0.53131) Boundary_loss: 0.013082 (0.013058) Loss: 0.59909 (0.54437) +2025-08-22,14:04:27 | INFO | Train Epoch: 4 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.52268 (0.53130) Boundary_loss: 0.013016 (0.013057) Loss: 0.53569 (0.54435) +2025-08-22,14:05:33 | INFO | Train Epoch: 4 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.52677 (0.53129) Boundary_loss: 0.012915 (0.013057) Loss: 0.53968 (0.54434) +2025-08-22,14:06:38 | INFO | Train Epoch: 4 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.49392 (0.53120) Boundary_loss: 0.012896 (0.013057) Loss: 0.50682 (0.54426) +2025-08-22,14:07:43 | INFO | Train Epoch: 4 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.60894 (0.53137) Boundary_loss: 0.013112 (0.013057) Loss: 0.62206 (0.54443) +2025-08-22,14:08:48 | INFO | Train Epoch: 4 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.58485 (0.53149) Boundary_loss: 0.013087 (0.013057) Loss: 0.59794 (0.54455) +2025-08-22,14:09:53 | INFO | Train Epoch: 4 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.60867 (0.53165) Boundary_loss: 0.013015 (0.013057) Loss: 0.62168 (0.54471) +2025-08-22,14:10:58 | INFO | Train Epoch: 4 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.60120 (0.53180) Boundary_loss: 0.012952 (0.013057) Loss: 0.61415 (0.54486) +2025-08-22,14:12:03 | INFO | Train Epoch: 4 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.53345 (0.53181) Boundary_loss: 0.013012 (0.013057) Loss: 0.54646 (0.54486) +2025-08-22,14:13:08 | INFO | Train Epoch: 4 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.55572 (0.53186) Boundary_loss: 0.012921 (0.013056) Loss: 0.56864 (0.54492) +2025-08-22,14:14:13 | INFO | Train Epoch: 4 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.54817 (0.53189) Boundary_loss: 0.013097 (0.013056) Loss: 0.56127 (0.54495) +2025-08-22,14:15:18 | INFO | Train Epoch: 4 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.52205 (0.53187) Boundary_loss: 0.012947 (0.013056) Loss: 0.53500 (0.54493) +2025-08-22,14:16:23 | INFO | Train Epoch: 4 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.49087 (0.53179) Boundary_loss: 0.013182 (0.013056) Loss: 0.50406 (0.54484) +2025-08-22,14:17:29 | INFO | Train Epoch: 4 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.47655 (0.53167) Boundary_loss: 0.012929 (0.013056) Loss: 0.48948 (0.54472) +2025-08-22,14:18:34 | INFO | Train Epoch: 4 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.564 Boundary Ratio: 0.100 Contrastive_loss: 0.56928 (0.53175) Boundary_loss: 0.013027 (0.013056) Loss: 0.58230 (0.54480) +2025-08-22,14:19:39 | INFO | Train Epoch: 4 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.51372 (0.53171) Boundary_loss: 0.013001 (0.013056) Loss: 0.52672 (0.54477) +2025-08-22,14:20:44 | INFO | Train Epoch: 4 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.53939 (0.53173) Boundary_loss: 0.013077 (0.013056) Loss: 0.55246 (0.54478) +2025-08-22,14:21:49 | INFO | Train Epoch: 4 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.52033 (0.53170) Boundary_loss: 0.012994 (0.013056) Loss: 0.53333 (0.54476) +2025-08-22,14:22:54 | INFO | Train Epoch: 4 [24320512/26365952 (92%)] Avg Boundaries (per batch): 18.910 Boundary Ratio: 0.096 Contrastive_loss: 0.57042 (0.53178) Boundary_loss: 0.013120 (0.013056) Loss: 0.58354 (0.54484) +2025-08-22,14:23:59 | INFO | Train Epoch: 4 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.53740 (0.53180) Boundary_loss: 0.013040 (0.013056) Loss: 0.55044 (0.54485) +2025-08-22,14:25:04 | INFO | Train Epoch: 4 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.55940 (0.53185) Boundary_loss: 0.013049 (0.013056) Loss: 0.57245 (0.54491) +2025-08-22,14:26:09 | INFO | Train Epoch: 4 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.55962 (0.53191) Boundary_loss: 0.012990 (0.013056) Loss: 0.57261 (0.54497) +2025-08-22,14:27:14 | INFO | Train Epoch: 4 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.64838 (0.53215) Boundary_loss: 0.012974 (0.013056) Loss: 0.66135 (0.54521) +2025-08-22,14:28:19 | INFO | Train Epoch: 4 [24576512/26365952 (93%)] Avg Boundaries (per batch): 18.902 Boundary Ratio: 0.096 Contrastive_loss: 0.48483 (0.53206) Boundary_loss: 0.012950 (0.013055) Loss: 0.49778 (0.54511) +2025-08-22,14:29:25 | INFO | Train Epoch: 4 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 0.50875 (0.53201) Boundary_loss: 0.013042 (0.013055) Loss: 0.52180 (0.54506) +2025-08-22,14:30:30 | INFO | Train Epoch: 4 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.59932 (0.53215) Boundary_loss: 0.013013 (0.013055) Loss: 0.61233 (0.54520) +2025-08-22,14:31:35 | INFO | Train Epoch: 4 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.49827 (0.53208) Boundary_loss: 0.013025 (0.013055) Loss: 0.51129 (0.54513) +2025-08-22,14:32:40 | INFO | Train Epoch: 4 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.56111 (0.53214) Boundary_loss: 0.013047 (0.013055) Loss: 0.57416 (0.54519) +2025-08-22,14:33:45 | INFO | Train Epoch: 4 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.59203 (0.53226) Boundary_loss: 0.013149 (0.013055) Loss: 0.60518 (0.54531) +2025-08-22,14:34:50 | INFO | Train Epoch: 4 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.53944 (0.53227) Boundary_loss: 0.013078 (0.013055) Loss: 0.55252 (0.54533) +2025-08-22,14:35:55 | INFO | Train Epoch: 4 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.633 Boundary Ratio: 0.100 Contrastive_loss: 0.46663 (0.53214) Boundary_loss: 0.013053 (0.013055) Loss: 0.47968 (0.54519) +2025-08-22,14:37:00 | INFO | Train Epoch: 4 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.49481 (0.53206) Boundary_loss: 0.013073 (0.013056) Loss: 0.50788 (0.54512) +2025-08-22,14:38:05 | INFO | Train Epoch: 4 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.50138 (0.53200) Boundary_loss: 0.012988 (0.013055) Loss: 0.51437 (0.54506) +2025-08-22,14:39:11 | INFO | Train Epoch: 4 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.43134 (0.53180) Boundary_loss: 0.013131 (0.013056) Loss: 0.44447 (0.54485) +2025-08-22,14:40:16 | INFO | Train Epoch: 4 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.55337 (0.53184) Boundary_loss: 0.012953 (0.013055) Loss: 0.56633 (0.54489) +2025-08-22,14:41:21 | INFO | Train Epoch: 4 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.52259 (0.53182) Boundary_loss: 0.012955 (0.013055) Loss: 0.53555 (0.54488) +2025-08-22,14:42:26 | INFO | Train Epoch: 4 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.50232 (0.53176) Boundary_loss: 0.013042 (0.013055) Loss: 0.51536 (0.54482) +2025-08-22,14:43:31 | INFO | Train Epoch: 4 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.57068 (0.53184) Boundary_loss: 0.013013 (0.013055) Loss: 0.58370 (0.54489) +2025-08-22,14:44:36 | INFO | Train Epoch: 4 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.52828 (0.53183) Boundary_loss: 0.013077 (0.013055) Loss: 0.54136 (0.54489) +2025-08-22,14:45:41 | INFO | Train Epoch: 4 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.38387 (0.53153) Boundary_loss: 0.012983 (0.013055) Loss: 0.39686 (0.54459) +2025-08-22,14:46:46 | INFO | Train Epoch: 4 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 0.58496 (0.53164) Boundary_loss: 0.013110 (0.013055) Loss: 0.59807 (0.54470) +2025-08-22,14:47:51 | INFO | Train Epoch: 4 [25498112/26365952 (97%)] Avg Boundaries (per batch): 18.934 Boundary Ratio: 0.097 Contrastive_loss: 0.48603 (0.53155) Boundary_loss: 0.013082 (0.013055) Loss: 0.49911 (0.54461) +2025-08-22,14:48:56 | INFO | Train Epoch: 4 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.53177 (0.53155) Boundary_loss: 0.012974 (0.013055) Loss: 0.54475 (0.54461) +2025-08-22,14:50:01 | INFO | Train Epoch: 4 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.43393 (0.53136) Boundary_loss: 0.012976 (0.013055) Loss: 0.44690 (0.54441) +2025-08-22,14:51:06 | INFO | Train Epoch: 4 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.55648 (0.53141) Boundary_loss: 0.013117 (0.013055) Loss: 0.56959 (0.54446) +2025-08-22,14:52:11 | INFO | Train Epoch: 4 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.57938 (0.53150) Boundary_loss: 0.012995 (0.013055) Loss: 0.59237 (0.54456) +2025-08-22,14:53:17 | INFO | Train Epoch: 4 [25754112/26365952 (98%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 0.59231 (0.53162) Boundary_loss: 0.012919 (0.013054) Loss: 0.60522 (0.54468) +2025-08-22,14:54:22 | INFO | Train Epoch: 4 [25805312/26365952 (98%)] Avg Boundaries (per batch): 18.789 Boundary Ratio: 0.096 Contrastive_loss: 0.47384 (0.53151) Boundary_loss: 0.013080 (0.013055) Loss: 0.48692 (0.54456) +2025-08-22,14:55:27 | INFO | Train Epoch: 4 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.39101 (0.53123) Boundary_loss: 0.013044 (0.013055) Loss: 0.40406 (0.54428) +2025-08-22,14:56:32 | INFO | Train Epoch: 4 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.54669 (0.53126) Boundary_loss: 0.012992 (0.013054) Loss: 0.55968 (0.54431) +2025-08-22,14:57:37 | INFO | Train Epoch: 4 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.54820 (0.53129) Boundary_loss: 0.012952 (0.013054) Loss: 0.56115 (0.54435) +2025-08-22,14:58:42 | INFO | Train Epoch: 4 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.46835 (0.53117) Boundary_loss: 0.013027 (0.013054) Loss: 0.48137 (0.54422) +2025-08-22,14:59:47 | INFO | Train Epoch: 4 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 0.44839 (0.53101) Boundary_loss: 0.013008 (0.013054) Loss: 0.46139 (0.54406) +2025-08-22,15:00:52 | INFO | Train Epoch: 4 [26112512/26365952 (99%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 0.46367 (0.53088) Boundary_loss: 0.012950 (0.013054) Loss: 0.47661 (0.54393) +2025-08-22,15:01:57 | INFO | Train Epoch: 4 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.51124 (0.53084) Boundary_loss: 0.013030 (0.013054) Loss: 0.52427 (0.54389) +2025-08-22,15:03:02 | INFO | Train Epoch: 4 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.45636 (0.53069) Boundary_loss: 0.013054 (0.013054) Loss: 0.46942 (0.54375) +2025-08-22,15:04:07 | INFO | Train Epoch: 4 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 0.55800 (0.53075) Boundary_loss: 0.012964 (0.013054) Loss: 0.57096 (0.54380) +2025-08-22,15:05:12 | INFO | Train Epoch: 4 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.45620 (0.53060) Boundary_loss: 0.012892 (0.013053) Loss: 0.46909 (0.54365) +2025-08-22,15:06:14 | INFO | Train Epoch: 4 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.39466 (0.53034) Boundary_loss: 0.012942 (0.013053) Loss: 0.40760 (0.54339) +2025-08-22,15:06:14 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-22,15:06:14 | INFO | [Epoch 4] Average Step Time: 0.654s | Average GPU Memory: 37.4 GB +2025-08-22,15:06:14 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-22,15:06:14 | INFO | Starting zero-shot imagenet. +2025-08-22,15:06:14 | INFO | Building zero-shot classifier +2025-08-22,15:06:24 | INFO | Using classifier +2025-08-22,15:07:07 | INFO | Finished zero-shot imagenet. +2025-08-22,15:07:07 | INFO | Eval Epoch: 5 imagenet-zeroshot-val-top1: 0.2439 imagenet-zeroshot-val-top5: 0.4917 +2025-08-22,15:07:08 | INFO | Start epoch 5 +2025-08-22,15:07:10 | INFO | Train Epoch: 5 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.47671 (0.47671) Boundary_loss: 0.012974 (0.012974) Loss: 0.48968 (0.48968) +2025-08-22,15:08:15 | INFO | Train Epoch: 5 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.52730 (0.50200) Boundary_loss: 0.012995 (0.012985) Loss: 0.54029 (0.51499) +2025-08-22,15:09:20 | INFO | Train Epoch: 5 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.621 Boundary Ratio: 0.100 Contrastive_loss: 0.50191 (0.50197) Boundary_loss: 0.013159 (0.013043) Loss: 0.51507 (0.51501) +2025-08-22,15:10:25 | INFO | Train Epoch: 5 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.38395 (0.47247) Boundary_loss: 0.013024 (0.013038) Loss: 0.39697 (0.48550) +2025-08-22,15:11:30 | INFO | Train Epoch: 5 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.48456 (0.47489) Boundary_loss: 0.012967 (0.013024) Loss: 0.49753 (0.48791) +2025-08-22,15:12:35 | INFO | Train Epoch: 5 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.52399 (0.48307) Boundary_loss: 0.013053 (0.013029) Loss: 0.53704 (0.49610) +2025-08-22,15:13:40 | INFO | Train Epoch: 5 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.49664 (0.48501) Boundary_loss: 0.012931 (0.013015) Loss: 0.50957 (0.49802) +2025-08-22,15:14:45 | INFO | Train Epoch: 5 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 18.799 Boundary Ratio: 0.096 Contrastive_loss: 0.48147 (0.48457) Boundary_loss: 0.013114 (0.013027) Loss: 0.49458 (0.49759) +2025-08-22,15:15:50 | INFO | Train Epoch: 5 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.48637 (0.48477) Boundary_loss: 0.012917 (0.013015) Loss: 0.49928 (0.49778) +2025-08-22,15:16:54 | INFO | Train Epoch: 5 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.49116 (0.48540) Boundary_loss: 0.013012 (0.013015) Loss: 0.50417 (0.49842) +2025-08-22,15:17:59 | INFO | Train Epoch: 5 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.47836 (0.48476) Boundary_loss: 0.013044 (0.013017) Loss: 0.49141 (0.49778) +2025-08-22,15:19:04 | INFO | Train Epoch: 5 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.41235 (0.47873) Boundary_loss: 0.013086 (0.013023) Loss: 0.42543 (0.49175) +2025-08-22,15:20:09 | INFO | Train Epoch: 5 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.55300 (0.48444) Boundary_loss: 0.013036 (0.013024) Loss: 0.56604 (0.49747) +2025-08-22,15:21:14 | INFO | Train Epoch: 5 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.48268 (0.48432) Boundary_loss: 0.013056 (0.013026) Loss: 0.49573 (0.49734) +2025-08-22,15:22:19 | INFO | Train Epoch: 5 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.47156 (0.48347) Boundary_loss: 0.012938 (0.013021) Loss: 0.48450 (0.49649) +2025-08-22,15:23:24 | INFO | Train Epoch: 5 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.53538 (0.48671) Boundary_loss: 0.013043 (0.013022) Loss: 0.54842 (0.49973) +2025-08-22,15:24:29 | INFO | Train Epoch: 5 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.43788 (0.48384) Boundary_loss: 0.013005 (0.013021) Loss: 0.45089 (0.49686) +2025-08-22,15:25:34 | INFO | Train Epoch: 5 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.43137 (0.48092) Boundary_loss: 0.012959 (0.013018) Loss: 0.44433 (0.49394) +2025-08-22,15:26:39 | INFO | Train Epoch: 5 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.47709 (0.48072) Boundary_loss: 0.013077 (0.013021) Loss: 0.49017 (0.49374) +2025-08-22,15:27:44 | INFO | Train Epoch: 5 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.41844 (0.47761) Boundary_loss: 0.013099 (0.013025) Loss: 0.43154 (0.49063) +2025-08-22,15:28:49 | INFO | Train Epoch: 5 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.45964 (0.47675) Boundary_loss: 0.013021 (0.013024) Loss: 0.47267 (0.48978) +2025-08-22,15:29:53 | INFO | Train Epoch: 5 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.58531 (0.48169) Boundary_loss: 0.012987 (0.013023) Loss: 0.59830 (0.49471) +2025-08-22,15:30:58 | INFO | Train Epoch: 5 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 18.928 Boundary Ratio: 0.097 Contrastive_loss: 0.47849 (0.48155) Boundary_loss: 0.013014 (0.013022) Loss: 0.49150 (0.49457) +2025-08-22,15:32:03 | INFO | Train Epoch: 5 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.34338 (0.47579) Boundary_loss: 0.012932 (0.013019) Loss: 0.35631 (0.48881) +2025-08-22,15:33:08 | INFO | Train Epoch: 5 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.47896 (0.47592) Boundary_loss: 0.012921 (0.013015) Loss: 0.49188 (0.48893) +2025-08-22,15:34:13 | INFO | Train Epoch: 5 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.43393 (0.47430) Boundary_loss: 0.013014 (0.013015) Loss: 0.44694 (0.48732) +2025-08-22,15:35:18 | INFO | Train Epoch: 5 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.58914 (0.47856) Boundary_loss: 0.013099 (0.013018) Loss: 0.60224 (0.49157) +2025-08-22,15:36:23 | INFO | Train Epoch: 5 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.49663 (0.47920) Boundary_loss: 0.013017 (0.013018) Loss: 0.50965 (0.49222) +2025-08-22,15:37:28 | INFO | Train Epoch: 5 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.50358 (0.48004) Boundary_loss: 0.012996 (0.013017) Loss: 0.51658 (0.49306) +2025-08-22,15:38:33 | INFO | Train Epoch: 5 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.51486 (0.48120) Boundary_loss: 0.012994 (0.013016) Loss: 0.52785 (0.49422) +2025-08-22,15:39:38 | INFO | Train Epoch: 5 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.44608 (0.48007) Boundary_loss: 0.013032 (0.013017) Loss: 0.45911 (0.49309) +2025-08-22,15:40:43 | INFO | Train Epoch: 5 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.41032 (0.47789) Boundary_loss: 0.012944 (0.013014) Loss: 0.42327 (0.49090) +2025-08-22,15:41:48 | INFO | Train Epoch: 5 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.47263 (0.47773) Boundary_loss: 0.013069 (0.013016) Loss: 0.48570 (0.49075) +2025-08-22,15:42:53 | INFO | Train Epoch: 5 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.45569 (0.47708) Boundary_loss: 0.012962 (0.013015) Loss: 0.46865 (0.49010) +2025-08-22,15:43:58 | INFO | Train Epoch: 5 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.42301 (0.47554) Boundary_loss: 0.013020 (0.013015) Loss: 0.43603 (0.48855) +2025-08-22,15:45:03 | INFO | Train Epoch: 5 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.55104 (0.47763) Boundary_loss: 0.013040 (0.013015) Loss: 0.56408 (0.49065) +2025-08-22,15:46:08 | INFO | Train Epoch: 5 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.37981 (0.47499) Boundary_loss: 0.013017 (0.013015) Loss: 0.39283 (0.48801) +2025-08-22,15:47:13 | INFO | Train Epoch: 5 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.42294 (0.47362) Boundary_loss: 0.012975 (0.013014) Loss: 0.43592 (0.48664) +2025-08-22,15:48:18 | INFO | Train Epoch: 5 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.41180 (0.47204) Boundary_loss: 0.013101 (0.013017) Loss: 0.42490 (0.48505) +2025-08-22,15:49:23 | INFO | Train Epoch: 5 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.41220 (0.47054) Boundary_loss: 0.012979 (0.013016) Loss: 0.42518 (0.48356) +2025-08-22,15:50:27 | INFO | Train Epoch: 5 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.688 Boundary Ratio: 0.100 Contrastive_loss: 0.36735 (0.46802) Boundary_loss: 0.013037 (0.013016) Loss: 0.38038 (0.48104) +2025-08-22,15:51:32 | INFO | Train Epoch: 5 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.52675 (0.46942) Boundary_loss: 0.013104 (0.013018) Loss: 0.53986 (0.48244) +2025-08-22,15:52:37 | INFO | Train Epoch: 5 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.46515 (0.46932) Boundary_loss: 0.012907 (0.013016) Loss: 0.47806 (0.48234) +2025-08-22,15:53:42 | INFO | Train Epoch: 5 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 18.916 Boundary Ratio: 0.097 Contrastive_loss: 0.45086 (0.46890) Boundary_loss: 0.013071 (0.013017) Loss: 0.46393 (0.48192) +2025-08-22,15:54:47 | INFO | Train Epoch: 5 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.50620 (0.46973) Boundary_loss: 0.013124 (0.013019) Loss: 0.51933 (0.48275) +2025-08-22,15:55:52 | INFO | Train Epoch: 5 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.45368 (0.46938) Boundary_loss: 0.013041 (0.013020) Loss: 0.46672 (0.48240) +2025-08-22,15:56:57 | INFO | Train Epoch: 5 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.41030 (0.46813) Boundary_loss: 0.013039 (0.013020) Loss: 0.42334 (0.48115) +2025-08-22,15:58:02 | INFO | Train Epoch: 5 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.44612 (0.46767) Boundary_loss: 0.013079 (0.013021) Loss: 0.45920 (0.48069) +2025-08-22,15:59:07 | INFO | Train Epoch: 5 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.613 Boundary Ratio: 0.100 Contrastive_loss: 0.42994 (0.46690) Boundary_loss: 0.013101 (0.013023) Loss: 0.44304 (0.47992) +2025-08-22,16:00:12 | INFO | Train Epoch: 5 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.34650 (0.46449) Boundary_loss: 0.013140 (0.013025) Loss: 0.35964 (0.47751) +2025-08-22,16:01:17 | INFO | Train Epoch: 5 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.38888 (0.46301) Boundary_loss: 0.013060 (0.013026) Loss: 0.40194 (0.47603) +2025-08-22,16:02:22 | INFO | Train Epoch: 5 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.47436 (0.46323) Boundary_loss: 0.013052 (0.013027) Loss: 0.48741 (0.47625) +2025-08-22,16:03:27 | INFO | Train Epoch: 5 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.46588 (0.46328) Boundary_loss: 0.013033 (0.013027) Loss: 0.47891 (0.47630) +2025-08-22,16:04:32 | INFO | Train Epoch: 5 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.43277 (0.46271) Boundary_loss: 0.012962 (0.013025) Loss: 0.44573 (0.47574) +2025-08-22,16:05:37 | INFO | Train Epoch: 5 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.42173 (0.46197) Boundary_loss: 0.012968 (0.013024) Loss: 0.43470 (0.47499) +2025-08-22,16:06:42 | INFO | Train Epoch: 5 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.43323 (0.46145) Boundary_loss: 0.013034 (0.013025) Loss: 0.44626 (0.47448) +2025-08-22,16:07:47 | INFO | Train Epoch: 5 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.47078 (0.46162) Boundary_loss: 0.013016 (0.013024) Loss: 0.48379 (0.47464) +2025-08-22,16:08:52 | INFO | Train Epoch: 5 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.44579 (0.46134) Boundary_loss: 0.012954 (0.013023) Loss: 0.45875 (0.47437) +2025-08-22,16:09:57 | INFO | Train Epoch: 5 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.53069 (0.46252) Boundary_loss: 0.013116 (0.013025) Loss: 0.54380 (0.47554) +2025-08-22,16:11:02 | INFO | Train Epoch: 5 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 18.961 Boundary Ratio: 0.097 Contrastive_loss: 0.38675 (0.46126) Boundary_loss: 0.012878 (0.013022) Loss: 0.39963 (0.47428) +2025-08-22,16:12:07 | INFO | Train Epoch: 5 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.54111 (0.46256) Boundary_loss: 0.012902 (0.013020) Loss: 0.55402 (0.47558) +2025-08-22,16:13:12 | INFO | Train Epoch: 5 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 18.941 Boundary Ratio: 0.097 Contrastive_loss: 0.52822 (0.46362) Boundary_loss: 0.013064 (0.013021) Loss: 0.54129 (0.47664) +2025-08-22,16:14:17 | INFO | Train Epoch: 5 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.48394 (0.46395) Boundary_loss: 0.012986 (0.013021) Loss: 0.49692 (0.47697) +2025-08-22,16:15:22 | INFO | Train Epoch: 5 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.53021 (0.46498) Boundary_loss: 0.013038 (0.013021) Loss: 0.54325 (0.47800) +2025-08-22,16:16:27 | INFO | Train Epoch: 5 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.49900 (0.46550) Boundary_loss: 0.013040 (0.013021) Loss: 0.51204 (0.47853) +2025-08-22,16:17:32 | INFO | Train Epoch: 5 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.43369 (0.46502) Boundary_loss: 0.012959 (0.013020) Loss: 0.44665 (0.47804) +2025-08-22,16:18:37 | INFO | Train Epoch: 5 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.47678 (0.46520) Boundary_loss: 0.013027 (0.013020) Loss: 0.48981 (0.47822) +2025-08-22,16:19:42 | INFO | Train Epoch: 5 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.43647 (0.46478) Boundary_loss: 0.013054 (0.013021) Loss: 0.44953 (0.47780) +2025-08-22,16:20:47 | INFO | Train Epoch: 5 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.38903 (0.46368) Boundary_loss: 0.013038 (0.013021) Loss: 0.40206 (0.47670) +2025-08-22,16:21:52 | INFO | Train Epoch: 5 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.37588 (0.46242) Boundary_loss: 0.013134 (0.013023) Loss: 0.38902 (0.47545) +2025-08-22,16:22:57 | INFO | Train Epoch: 5 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.41945 (0.46182) Boundary_loss: 0.013154 (0.013024) Loss: 0.43261 (0.47484) +2025-08-22,16:24:02 | INFO | Train Epoch: 5 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.43351 (0.46143) Boundary_loss: 0.013015 (0.013024) Loss: 0.44653 (0.47445) +2025-08-22,16:25:07 | INFO | Train Epoch: 5 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.45955 (0.46140) Boundary_loss: 0.013187 (0.013027) Loss: 0.47273 (0.47443) +2025-08-22,16:26:12 | INFO | Train Epoch: 5 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.42908 (0.46096) Boundary_loss: 0.013093 (0.013027) Loss: 0.44217 (0.47399) +2025-08-22,16:27:17 | INFO | Train Epoch: 5 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.46014 (0.46095) Boundary_loss: 0.013112 (0.013029) Loss: 0.47326 (0.47398) +2025-08-22,16:28:22 | INFO | Train Epoch: 5 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.44546 (0.46075) Boundary_loss: 0.013121 (0.013030) Loss: 0.45858 (0.47378) +2025-08-22,16:29:27 | INFO | Train Epoch: 5 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.49956 (0.46125) Boundary_loss: 0.012916 (0.013028) Loss: 0.51248 (0.47428) +2025-08-22,16:30:32 | INFO | Train Epoch: 5 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.590 Boundary Ratio: 0.100 Contrastive_loss: 0.43448 (0.46091) Boundary_loss: 0.013009 (0.013028) Loss: 0.44748 (0.47394) +2025-08-22,16:31:37 | INFO | Train Epoch: 5 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.43379 (0.46057) Boundary_loss: 0.012989 (0.013028) Loss: 0.44678 (0.47359) +2025-08-22,16:32:42 | INFO | Train Epoch: 5 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.53805 (0.46153) Boundary_loss: 0.013024 (0.013028) Loss: 0.55108 (0.47456) +2025-08-22,16:33:47 | INFO | Train Epoch: 5 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.45094 (0.46140) Boundary_loss: 0.012882 (0.013026) Loss: 0.46382 (0.47443) +2025-08-22,16:34:52 | INFO | Train Epoch: 5 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.42687 (0.46098) Boundary_loss: 0.013067 (0.013026) Loss: 0.43993 (0.47401) +2025-08-22,16:35:57 | INFO | Train Epoch: 5 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.48412 (0.46126) Boundary_loss: 0.013021 (0.013026) Loss: 0.49714 (0.47429) +2025-08-22,16:37:02 | INFO | Train Epoch: 5 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.49891 (0.46171) Boundary_loss: 0.013012 (0.013026) Loss: 0.51192 (0.47474) +2025-08-22,16:38:07 | INFO | Train Epoch: 5 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.50013 (0.46216) Boundary_loss: 0.013104 (0.013027) Loss: 0.51324 (0.47519) +2025-08-22,16:39:12 | INFO | Train Epoch: 5 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.639 Boundary Ratio: 0.100 Contrastive_loss: 0.48922 (0.46248) Boundary_loss: 0.013085 (0.013028) Loss: 0.50231 (0.47550) +2025-08-22,16:40:17 | INFO | Train Epoch: 5 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.41743 (0.46196) Boundary_loss: 0.013064 (0.013028) Loss: 0.43049 (0.47499) +2025-08-22,16:41:22 | INFO | Train Epoch: 5 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.742 Boundary Ratio: 0.101 Contrastive_loss: 0.44011 (0.46171) Boundary_loss: 0.013196 (0.013030) Loss: 0.45331 (0.47474) +2025-08-22,16:42:28 | INFO | Train Epoch: 5 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.40287 (0.46105) Boundary_loss: 0.012991 (0.013029) Loss: 0.41586 (0.47408) +2025-08-22,16:43:33 | INFO | Train Epoch: 5 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.53946 (0.46192) Boundary_loss: 0.013069 (0.013030) Loss: 0.55253 (0.47495) +2025-08-22,16:44:38 | INFO | Train Epoch: 5 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 0.42272 (0.46149) Boundary_loss: 0.013105 (0.013031) Loss: 0.43582 (0.47452) +2025-08-22,16:45:43 | INFO | Train Epoch: 5 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.49832 (0.46189) Boundary_loss: 0.013082 (0.013031) Loss: 0.51141 (0.47492) +2025-08-22,16:46:48 | INFO | Train Epoch: 5 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.44634 (0.46172) Boundary_loss: 0.012998 (0.013031) Loss: 0.45933 (0.47475) +2025-08-22,16:47:53 | INFO | Train Epoch: 5 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.42558 (0.46134) Boundary_loss: 0.012998 (0.013031) Loss: 0.43858 (0.47437) +2025-08-22,16:48:58 | INFO | Train Epoch: 5 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 18.889 Boundary Ratio: 0.096 Contrastive_loss: 0.42447 (0.46095) Boundary_loss: 0.013043 (0.013031) Loss: 0.43751 (0.47398) +2025-08-22,16:50:03 | INFO | Train Epoch: 5 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.42777 (0.46060) Boundary_loss: 0.013026 (0.013031) Loss: 0.44080 (0.47363) +2025-08-22,16:51:08 | INFO | Train Epoch: 5 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.33561 (0.45932) Boundary_loss: 0.012977 (0.013030) Loss: 0.34859 (0.47235) +2025-08-22,16:52:13 | INFO | Train Epoch: 5 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.39878 (0.45870) Boundary_loss: 0.012966 (0.013029) Loss: 0.41175 (0.47173) +2025-08-22,16:53:18 | INFO | Train Epoch: 5 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.52576 (0.45938) Boundary_loss: 0.012913 (0.013028) Loss: 0.53868 (0.47240) +2025-08-22,16:54:24 | INFO | Train Epoch: 5 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.41796 (0.45896) Boundary_loss: 0.013075 (0.013029) Loss: 0.43104 (0.47199) +2025-08-22,16:55:29 | INFO | Train Epoch: 5 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.43550 (0.45873) Boundary_loss: 0.012906 (0.013028) Loss: 0.44840 (0.47176) +2025-08-22,16:56:34 | INFO | Train Epoch: 5 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 18.881 Boundary Ratio: 0.096 Contrastive_loss: 0.45530 (0.45870) Boundary_loss: 0.012958 (0.013027) Loss: 0.46826 (0.47172) +2025-08-22,16:57:39 | INFO | Train Epoch: 5 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 18.711 Boundary Ratio: 0.095 Contrastive_loss: 0.39216 (0.45805) Boundary_loss: 0.013019 (0.013027) Loss: 0.40518 (0.47108) +2025-08-22,16:58:44 | INFO | Train Epoch: 5 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 18.910 Boundary Ratio: 0.096 Contrastive_loss: 0.47362 (0.45820) Boundary_loss: 0.013008 (0.013027) Loss: 0.48663 (0.47123) +2025-08-22,16:59:49 | INFO | Train Epoch: 5 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.36793 (0.45734) Boundary_loss: 0.012969 (0.013026) Loss: 0.38090 (0.47037) +2025-08-22,17:00:54 | INFO | Train Epoch: 5 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.38977 (0.45670) Boundary_loss: 0.012976 (0.013026) Loss: 0.40275 (0.46973) +2025-08-22,17:01:59 | INFO | Train Epoch: 5 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.45920 (0.45673) Boundary_loss: 0.012996 (0.013025) Loss: 0.47220 (0.46975) +2025-08-22,17:03:04 | INFO | Train Epoch: 5 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.41845 (0.45637) Boundary_loss: 0.013162 (0.013027) Loss: 0.43162 (0.46940) +2025-08-22,17:04:10 | INFO | Train Epoch: 5 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.48931 (0.45667) Boundary_loss: 0.012926 (0.013026) Loss: 0.50224 (0.46970) +2025-08-22,17:05:15 | INFO | Train Epoch: 5 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 0.48665 (0.45695) Boundary_loss: 0.012953 (0.013025) Loss: 0.49960 (0.46997) +2025-08-22,17:06:20 | INFO | Train Epoch: 5 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.43216 (0.45672) Boundary_loss: 0.013036 (0.013025) Loss: 0.44519 (0.46975) +2025-08-22,17:07:25 | INFO | Train Epoch: 5 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.48712 (0.45699) Boundary_loss: 0.013024 (0.013025) Loss: 0.50014 (0.47002) +2025-08-22,17:08:30 | INFO | Train Epoch: 5 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.51419 (0.45750) Boundary_loss: 0.012995 (0.013025) Loss: 0.52719 (0.47052) +2025-08-22,17:09:35 | INFO | Train Epoch: 5 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.50601 (0.45793) Boundary_loss: 0.012954 (0.013024) Loss: 0.51896 (0.47095) +2025-08-22,17:10:40 | INFO | Train Epoch: 5 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.40446 (0.45746) Boundary_loss: 0.013065 (0.013025) Loss: 0.41752 (0.47049) +2025-08-22,17:11:45 | INFO | Train Epoch: 5 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.49755 (0.45781) Boundary_loss: 0.013087 (0.013025) Loss: 0.51064 (0.47083) +2025-08-22,17:12:51 | INFO | Train Epoch: 5 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.43169 (0.45758) Boundary_loss: 0.012997 (0.013025) Loss: 0.44469 (0.47061) +2025-08-22,17:13:56 | INFO | Train Epoch: 5 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.47683 (0.45775) Boundary_loss: 0.013072 (0.013025) Loss: 0.48990 (0.47077) +2025-08-22,17:15:01 | INFO | Train Epoch: 5 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.35743 (0.45690) Boundary_loss: 0.013075 (0.013026) Loss: 0.37050 (0.46993) +2025-08-22,17:16:06 | INFO | Train Epoch: 5 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.44781 (0.45683) Boundary_loss: 0.012895 (0.013025) Loss: 0.46071 (0.46985) +2025-08-22,17:17:11 | INFO | Train Epoch: 5 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.48310 (0.45704) Boundary_loss: 0.012961 (0.013024) Loss: 0.49606 (0.47007) +2025-08-22,17:18:16 | INFO | Train Epoch: 5 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.43337 (0.45685) Boundary_loss: 0.013049 (0.013024) Loss: 0.44641 (0.46987) +2025-08-22,17:19:21 | INFO | Train Epoch: 5 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.42692 (0.45661) Boundary_loss: 0.013052 (0.013024) Loss: 0.43998 (0.46963) +2025-08-22,17:20:27 | INFO | Train Epoch: 5 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 18.811 Boundary Ratio: 0.096 Contrastive_loss: 0.45758 (0.45661) Boundary_loss: 0.013075 (0.013025) Loss: 0.47066 (0.46964) +2025-08-22,17:21:32 | INFO | Train Epoch: 5 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.47733 (0.45678) Boundary_loss: 0.013034 (0.013025) Loss: 0.49036 (0.46981) +2025-08-22,17:22:37 | INFO | Train Epoch: 5 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.41860 (0.45648) Boundary_loss: 0.013094 (0.013026) Loss: 0.43170 (0.46950) +2025-08-22,17:23:42 | INFO | Train Epoch: 5 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.596 Boundary Ratio: 0.100 Contrastive_loss: 0.53270 (0.45708) Boundary_loss: 0.012984 (0.013025) Loss: 0.54568 (0.47010) +2025-08-22,17:24:47 | INFO | Train Epoch: 5 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.40137 (0.45664) Boundary_loss: 0.013051 (0.013025) Loss: 0.41442 (0.46967) +2025-08-22,17:25:52 | INFO | Train Epoch: 5 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.38121 (0.45606) Boundary_loss: 0.012995 (0.013025) Loss: 0.39420 (0.46908) +2025-08-22,17:26:57 | INFO | Train Epoch: 5 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.709 Boundary Ratio: 0.101 Contrastive_loss: 0.45486 (0.45605) Boundary_loss: 0.012984 (0.013025) Loss: 0.46784 (0.46907) +2025-08-22,17:28:02 | INFO | Train Epoch: 5 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.45815 (0.45606) Boundary_loss: 0.012980 (0.013024) Loss: 0.47113 (0.46909) +2025-08-22,17:29:07 | INFO | Train Epoch: 5 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.54330 (0.45673) Boundary_loss: 0.013148 (0.013025) Loss: 0.55645 (0.46975) +2025-08-22,17:30:13 | INFO | Train Epoch: 5 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.44688 (0.45665) Boundary_loss: 0.013075 (0.013026) Loss: 0.45996 (0.46968) +2025-08-22,17:31:18 | INFO | Train Epoch: 5 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.48936 (0.45690) Boundary_loss: 0.013025 (0.013026) Loss: 0.50238 (0.46992) +2025-08-22,17:32:23 | INFO | Train Epoch: 5 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.39435 (0.45643) Boundary_loss: 0.012902 (0.013025) Loss: 0.40725 (0.46946) +2025-08-22,17:33:28 | INFO | Train Epoch: 5 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.37965 (0.45587) Boundary_loss: 0.013070 (0.013025) Loss: 0.39272 (0.46889) +2025-08-22,17:34:33 | INFO | Train Epoch: 5 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.45746 (0.45588) Boundary_loss: 0.012914 (0.013024) Loss: 0.47037 (0.46890) +2025-08-22,17:35:38 | INFO | Train Epoch: 5 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.47800 (0.45604) Boundary_loss: 0.012962 (0.013024) Loss: 0.49096 (0.46906) +2025-08-22,17:36:43 | INFO | Train Epoch: 5 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.41588 (0.45575) Boundary_loss: 0.013040 (0.013024) Loss: 0.42892 (0.46877) +2025-08-22,17:37:49 | INFO | Train Epoch: 5 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.43543 (0.45561) Boundary_loss: 0.013117 (0.013025) Loss: 0.44855 (0.46863) +2025-08-22,17:38:54 | INFO | Train Epoch: 5 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.54776 (0.45626) Boundary_loss: 0.012995 (0.013025) Loss: 0.56075 (0.46928) +2025-08-22,17:39:59 | INFO | Train Epoch: 5 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.42050 (0.45601) Boundary_loss: 0.013052 (0.013025) Loss: 0.43355 (0.46903) +2025-08-22,17:41:04 | INFO | Train Epoch: 5 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.43608 (0.45587) Boundary_loss: 0.012948 (0.013024) Loss: 0.44903 (0.46889) +2025-08-22,17:42:09 | INFO | Train Epoch: 5 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.41430 (0.45558) Boundary_loss: 0.013051 (0.013024) Loss: 0.42735 (0.46860) +2025-08-22,17:43:14 | INFO | Train Epoch: 5 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.45031 (0.45554) Boundary_loss: 0.013192 (0.013026) Loss: 0.46350 (0.46857) +2025-08-22,17:44:19 | INFO | Train Epoch: 5 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.54613 (0.45616) Boundary_loss: 0.012935 (0.013025) Loss: 0.55907 (0.46919) +2025-08-22,17:45:24 | INFO | Train Epoch: 5 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.41676 (0.45590) Boundary_loss: 0.013054 (0.013025) Loss: 0.42981 (0.46892) +2025-08-22,17:46:29 | INFO | Train Epoch: 5 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.36130 (0.45526) Boundary_loss: 0.012998 (0.013025) Loss: 0.37430 (0.46828) +2025-08-22,17:47:34 | INFO | Train Epoch: 5 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.41965 (0.45502) Boundary_loss: 0.013070 (0.013025) Loss: 0.43272 (0.46804) +2025-08-22,17:48:40 | INFO | Train Epoch: 5 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.611 Boundary Ratio: 0.100 Contrastive_loss: 0.37403 (0.45448) Boundary_loss: 0.012985 (0.013025) Loss: 0.38702 (0.46750) +2025-08-22,17:49:45 | INFO | Train Epoch: 5 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.48206 (0.45466) Boundary_loss: 0.012923 (0.013024) Loss: 0.49498 (0.46768) +2025-08-22,17:50:50 | INFO | Train Epoch: 5 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.47059 (0.45476) Boundary_loss: 0.012981 (0.013024) Loss: 0.48357 (0.46779) +2025-08-22,17:51:55 | INFO | Train Epoch: 5 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.42193 (0.45455) Boundary_loss: 0.012970 (0.013024) Loss: 0.43490 (0.46757) +2025-08-22,17:53:00 | INFO | Train Epoch: 5 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.40455 (0.45423) Boundary_loss: 0.013043 (0.013024) Loss: 0.41760 (0.46725) +2025-08-22,17:54:05 | INFO | Train Epoch: 5 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.45965 (0.45426) Boundary_loss: 0.013049 (0.013024) Loss: 0.47270 (0.46728) +2025-08-22,17:55:10 | INFO | Train Epoch: 5 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.51910 (0.45468) Boundary_loss: 0.012905 (0.013023) Loss: 0.53201 (0.46770) +2025-08-22,17:56:15 | INFO | Train Epoch: 5 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 18.988 Boundary Ratio: 0.097 Contrastive_loss: 0.48929 (0.45490) Boundary_loss: 0.012934 (0.013023) Loss: 0.50222 (0.46792) +2025-08-22,17:57:20 | INFO | Train Epoch: 5 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.39273 (0.45450) Boundary_loss: 0.013019 (0.013023) Loss: 0.40575 (0.46753) +2025-08-22,17:58:26 | INFO | Train Epoch: 5 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.42753 (0.45433) Boundary_loss: 0.013007 (0.013022) Loss: 0.44054 (0.46736) +2025-08-22,17:59:31 | INFO | Train Epoch: 5 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.47476 (0.45446) Boundary_loss: 0.012931 (0.013022) Loss: 0.48769 (0.46748) +2025-08-22,18:00:36 | INFO | Train Epoch: 5 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.54797 (0.45504) Boundary_loss: 0.012972 (0.013022) Loss: 0.56094 (0.46806) +2025-08-22,18:01:41 | INFO | Train Epoch: 5 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.45751 (0.45506) Boundary_loss: 0.012876 (0.013021) Loss: 0.47039 (0.46808) +2025-08-22,18:02:46 | INFO | Train Epoch: 5 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 18.791 Boundary Ratio: 0.096 Contrastive_loss: 0.41619 (0.45482) Boundary_loss: 0.013008 (0.013021) Loss: 0.42920 (0.46784) +2025-08-22,18:03:51 | INFO | Train Epoch: 5 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.39854 (0.45448) Boundary_loss: 0.012969 (0.013020) Loss: 0.41151 (0.46750) +2025-08-22,18:04:56 | INFO | Train Epoch: 5 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.627 Boundary Ratio: 0.100 Contrastive_loss: 0.37909 (0.45402) Boundary_loss: 0.013021 (0.013020) Loss: 0.39211 (0.46704) +2025-08-22,18:06:01 | INFO | Train Epoch: 5 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.46713 (0.45410) Boundary_loss: 0.012896 (0.013020) Loss: 0.48003 (0.46712) +2025-08-22,18:07:07 | INFO | Train Epoch: 5 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.44953 (0.45407) Boundary_loss: 0.012933 (0.013019) Loss: 0.46246 (0.46709) +2025-08-22,18:08:12 | INFO | Train Epoch: 5 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.45118 (0.45405) Boundary_loss: 0.012923 (0.013018) Loss: 0.46410 (0.46707) +2025-08-22,18:09:17 | INFO | Train Epoch: 5 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.46619 (0.45412) Boundary_loss: 0.013068 (0.013019) Loss: 0.47925 (0.46714) +2025-08-22,18:10:22 | INFO | Train Epoch: 5 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.48215 (0.45429) Boundary_loss: 0.013104 (0.013019) Loss: 0.49526 (0.46731) +2025-08-22,18:11:27 | INFO | Train Epoch: 5 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.42226 (0.45410) Boundary_loss: 0.013090 (0.013020) Loss: 0.43535 (0.46712) +2025-08-22,18:12:32 | INFO | Train Epoch: 5 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.41525 (0.45388) Boundary_loss: 0.013104 (0.013020) Loss: 0.42835 (0.46690) +2025-08-22,18:13:37 | INFO | Train Epoch: 5 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.42429 (0.45371) Boundary_loss: 0.012976 (0.013020) Loss: 0.43727 (0.46673) +2025-08-22,18:14:43 | INFO | Train Epoch: 5 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.43513 (0.45360) Boundary_loss: 0.012938 (0.013019) Loss: 0.44807 (0.46662) +2025-08-22,18:15:48 | INFO | Train Epoch: 5 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.37470 (0.45315) Boundary_loss: 0.013086 (0.013020) Loss: 0.38779 (0.46617) +2025-08-22,18:16:53 | INFO | Train Epoch: 5 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.47241 (0.45326) Boundary_loss: 0.013040 (0.013020) Loss: 0.48545 (0.46628) +2025-08-22,18:17:58 | INFO | Train Epoch: 5 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.46810 (0.45334) Boundary_loss: 0.013007 (0.013020) Loss: 0.48111 (0.46636) +2025-08-22,18:19:03 | INFO | Train Epoch: 5 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.43918 (0.45326) Boundary_loss: 0.013072 (0.013020) Loss: 0.45225 (0.46628) +2025-08-22,18:20:08 | INFO | Train Epoch: 5 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.39395 (0.45293) Boundary_loss: 0.013025 (0.013020) Loss: 0.40697 (0.46595) +2025-08-22,18:21:13 | INFO | Train Epoch: 5 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.40813 (0.45268) Boundary_loss: 0.012926 (0.013020) Loss: 0.42105 (0.46570) +2025-08-22,18:22:18 | INFO | Train Epoch: 5 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.38843 (0.45233) Boundary_loss: 0.013048 (0.013020) Loss: 0.40148 (0.46535) +2025-08-22,18:23:24 | INFO | Train Epoch: 5 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.629 Boundary Ratio: 0.100 Contrastive_loss: 0.45068 (0.45232) Boundary_loss: 0.013110 (0.013020) Loss: 0.46379 (0.46534) +2025-08-22,18:24:29 | INFO | Train Epoch: 5 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.46713 (0.45240) Boundary_loss: 0.012968 (0.013020) Loss: 0.48010 (0.46542) +2025-08-22,18:25:34 | INFO | Train Epoch: 5 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.46218 (0.45245) Boundary_loss: 0.012858 (0.013019) Loss: 0.47504 (0.46547) +2025-08-22,18:26:39 | INFO | Train Epoch: 5 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.46003 (0.45249) Boundary_loss: 0.012932 (0.013019) Loss: 0.47296 (0.46551) +2025-08-22,18:27:44 | INFO | Train Epoch: 5 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.42485 (0.45234) Boundary_loss: 0.012923 (0.013018) Loss: 0.43777 (0.46536) +2025-08-22,18:28:49 | INFO | Train Epoch: 5 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.49602 (0.45258) Boundary_loss: 0.012992 (0.013018) Loss: 0.50901 (0.46560) +2025-08-22,18:29:54 | INFO | Train Epoch: 5 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.39537 (0.45227) Boundary_loss: 0.013069 (0.013018) Loss: 0.40844 (0.46529) +2025-08-22,18:31:00 | INFO | Train Epoch: 5 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 0.40829 (0.45204) Boundary_loss: 0.012926 (0.013018) Loss: 0.42121 (0.46506) +2025-08-22,18:32:05 | INFO | Train Epoch: 5 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.51793 (0.45239) Boundary_loss: 0.012959 (0.013018) Loss: 0.53089 (0.46540) +2025-08-22,18:33:10 | INFO | Train Epoch: 5 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.51676 (0.45272) Boundary_loss: 0.013049 (0.013018) Loss: 0.52981 (0.46574) +2025-08-22,18:34:15 | INFO | Train Epoch: 5 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.50862 (0.45302) Boundary_loss: 0.013003 (0.013018) Loss: 0.52162 (0.46603) +2025-08-22,18:35:20 | INFO | Train Epoch: 5 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.40387 (0.45276) Boundary_loss: 0.013088 (0.013018) Loss: 0.41695 (0.46578) +2025-08-22,18:36:25 | INFO | Train Epoch: 5 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.45768 (0.45279) Boundary_loss: 0.012972 (0.013018) Loss: 0.47065 (0.46580) +2025-08-22,18:37:30 | INFO | Train Epoch: 5 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.41757 (0.45261) Boundary_loss: 0.013010 (0.013018) Loss: 0.43058 (0.46562) +2025-08-22,18:38:35 | INFO | Train Epoch: 5 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.600 Boundary Ratio: 0.100 Contrastive_loss: 0.46652 (0.45268) Boundary_loss: 0.013021 (0.013018) Loss: 0.47954 (0.46569) +2025-08-22,18:39:41 | INFO | Train Epoch: 5 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.46010 (0.45271) Boundary_loss: 0.012981 (0.013018) Loss: 0.47308 (0.46573) +2025-08-22,18:40:46 | INFO | Train Epoch: 5 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.40158 (0.45246) Boundary_loss: 0.013039 (0.013018) Loss: 0.41462 (0.46547) +2025-08-22,18:41:51 | INFO | Train Epoch: 5 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.33679 (0.45187) Boundary_loss: 0.013012 (0.013018) Loss: 0.34980 (0.46489) +2025-08-22,18:42:56 | INFO | Train Epoch: 5 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.47493 (0.45199) Boundary_loss: 0.013110 (0.013018) Loss: 0.48804 (0.46501) +2025-08-22,18:44:01 | INFO | Train Epoch: 5 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.43617 (0.45191) Boundary_loss: 0.012917 (0.013018) Loss: 0.44909 (0.46493) +2025-08-22,18:45:06 | INFO | Train Epoch: 5 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.50479 (0.45217) Boundary_loss: 0.013016 (0.013018) Loss: 0.51781 (0.46519) +2025-08-22,18:46:11 | INFO | Train Epoch: 5 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.44029 (0.45211) Boundary_loss: 0.012951 (0.013017) Loss: 0.45324 (0.46513) +2025-08-22,18:47:16 | INFO | Train Epoch: 5 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.44014 (0.45206) Boundary_loss: 0.012965 (0.013017) Loss: 0.45310 (0.46507) +2025-08-22,18:48:22 | INFO | Train Epoch: 5 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.42294 (0.45191) Boundary_loss: 0.012995 (0.013017) Loss: 0.43594 (0.46493) +2025-08-22,18:49:27 | INFO | Train Epoch: 5 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.41201 (0.45172) Boundary_loss: 0.012923 (0.013016) Loss: 0.42494 (0.46474) +2025-08-22,18:50:32 | INFO | Train Epoch: 5 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.48079 (0.45186) Boundary_loss: 0.012917 (0.013016) Loss: 0.49371 (0.46488) +2025-08-22,18:51:37 | INFO | Train Epoch: 5 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.43975 (0.45180) Boundary_loss: 0.012962 (0.013016) Loss: 0.45271 (0.46482) +2025-08-22,18:52:42 | INFO | Train Epoch: 5 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.42184 (0.45166) Boundary_loss: 0.012875 (0.013015) Loss: 0.43471 (0.46467) +2025-08-22,18:53:47 | INFO | Train Epoch: 5 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.48026 (0.45180) Boundary_loss: 0.013039 (0.013015) Loss: 0.49330 (0.46481) +2025-08-22,18:54:52 | INFO | Train Epoch: 5 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.40014 (0.45155) Boundary_loss: 0.013049 (0.013015) Loss: 0.41319 (0.46457) +2025-08-22,18:55:57 | INFO | Train Epoch: 5 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.40393 (0.45133) Boundary_loss: 0.013088 (0.013016) Loss: 0.41702 (0.46434) +2025-08-22,18:57:02 | INFO | Train Epoch: 5 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.36756 (0.45093) Boundary_loss: 0.013091 (0.013016) Loss: 0.38066 (0.46395) +2025-08-22,18:58:07 | INFO | Train Epoch: 5 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.43447 (0.45086) Boundary_loss: 0.012839 (0.013015) Loss: 0.44731 (0.46387) +2025-08-22,18:59:13 | INFO | Train Epoch: 5 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.35699 (0.45042) Boundary_loss: 0.012994 (0.013015) Loss: 0.36999 (0.46343) +2025-08-22,19:00:18 | INFO | Train Epoch: 5 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.57169 (0.45098) Boundary_loss: 0.013081 (0.013015) Loss: 0.58478 (0.46400) +2025-08-22,19:01:23 | INFO | Train Epoch: 5 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.54052 (0.45139) Boundary_loss: 0.013049 (0.013015) Loss: 0.55357 (0.46441) +2025-08-22,19:02:28 | INFO | Train Epoch: 5 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.45789 (0.45142) Boundary_loss: 0.012849 (0.013015) Loss: 0.47074 (0.46444) +2025-08-22,19:03:33 | INFO | Train Epoch: 5 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.38500 (0.45112) Boundary_loss: 0.013037 (0.013015) Loss: 0.39803 (0.46413) +2025-08-22,19:04:38 | INFO | Train Epoch: 5 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.39176 (0.45085) Boundary_loss: 0.013047 (0.013015) Loss: 0.40480 (0.46386) +2025-08-22,19:05:43 | INFO | Train Epoch: 5 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.44212 (0.45081) Boundary_loss: 0.012982 (0.013015) Loss: 0.45510 (0.46382) +2025-08-22,19:06:48 | INFO | Train Epoch: 5 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.44439 (0.45078) Boundary_loss: 0.013011 (0.013015) Loss: 0.45740 (0.46380) +2025-08-22,19:07:53 | INFO | Train Epoch: 5 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.34608 (0.45031) Boundary_loss: 0.013043 (0.013015) Loss: 0.35912 (0.46333) +2025-08-22,19:08:59 | INFO | Train Epoch: 5 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.43045 (0.45022) Boundary_loss: 0.012990 (0.013015) Loss: 0.44344 (0.46324) +2025-08-22,19:10:04 | INFO | Train Epoch: 5 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.43236 (0.45014) Boundary_loss: 0.013037 (0.013015) Loss: 0.44540 (0.46316) +2025-08-22,19:11:09 | INFO | Train Epoch: 5 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.41725 (0.45000) Boundary_loss: 0.012963 (0.013015) Loss: 0.43021 (0.46301) +2025-08-22,19:12:14 | INFO | Train Epoch: 5 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.47387 (0.45010) Boundary_loss: 0.012950 (0.013014) Loss: 0.48682 (0.46312) +2025-08-22,19:13:19 | INFO | Train Epoch: 5 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.42306 (0.44998) Boundary_loss: 0.012950 (0.013014) Loss: 0.43601 (0.46300) +2025-08-22,19:14:24 | INFO | Train Epoch: 5 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.42358 (0.44987) Boundary_loss: 0.013033 (0.013014) Loss: 0.43661 (0.46288) +2025-08-22,19:15:29 | INFO | Train Epoch: 5 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.49423 (0.45006) Boundary_loss: 0.013036 (0.013014) Loss: 0.50726 (0.46308) +2025-08-22,19:16:34 | INFO | Train Epoch: 5 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.47999 (0.45019) Boundary_loss: 0.013079 (0.013015) Loss: 0.49307 (0.46321) +2025-08-22,19:17:40 | INFO | Train Epoch: 5 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.44238 (0.45016) Boundary_loss: 0.013052 (0.013015) Loss: 0.45543 (0.46317) +2025-08-22,19:18:45 | INFO | Train Epoch: 5 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.43353 (0.45009) Boundary_loss: 0.013057 (0.013015) Loss: 0.44659 (0.46310) +2025-08-22,19:19:50 | INFO | Train Epoch: 5 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.37566 (0.44977) Boundary_loss: 0.013077 (0.013015) Loss: 0.38873 (0.46278) +2025-08-22,19:20:55 | INFO | Train Epoch: 5 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.40542 (0.44958) Boundary_loss: 0.013013 (0.013015) Loss: 0.41844 (0.46260) +2025-08-22,19:22:00 | INFO | Train Epoch: 5 [12032512/26365952 (46%)] Avg Boundaries (per batch): 18.914 Boundary Ratio: 0.097 Contrastive_loss: 0.38522 (0.44931) Boundary_loss: 0.012951 (0.013015) Loss: 0.39817 (0.46232) +2025-08-22,19:23:05 | INFO | Train Epoch: 5 [12083712/26365952 (46%)] Avg Boundaries (per batch): 18.963 Boundary Ratio: 0.097 Contrastive_loss: 0.40796 (0.44913) Boundary_loss: 0.012953 (0.013015) Loss: 0.42091 (0.46215) +2025-08-22,19:24:10 | INFO | Train Epoch: 5 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.46522 (0.44920) Boundary_loss: 0.012985 (0.013015) Loss: 0.47820 (0.46221) +2025-08-22,19:25:16 | INFO | Train Epoch: 5 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.631 Boundary Ratio: 0.100 Contrastive_loss: 0.46932 (0.44928) Boundary_loss: 0.013040 (0.013015) Loss: 0.48236 (0.46230) +2025-08-22,19:26:21 | INFO | Train Epoch: 5 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.39148 (0.44904) Boundary_loss: 0.012934 (0.013014) Loss: 0.40441 (0.46206) +2025-08-22,19:27:26 | INFO | Train Epoch: 5 [12288512/26365952 (47%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 0.42592 (0.44895) Boundary_loss: 0.013078 (0.013015) Loss: 0.43900 (0.46196) +2025-08-22,19:28:31 | INFO | Train Epoch: 5 [12339712/26365952 (47%)] Avg Boundaries (per batch): 18.918 Boundary Ratio: 0.097 Contrastive_loss: 0.43638 (0.44890) Boundary_loss: 0.012948 (0.013014) Loss: 0.44933 (0.46191) +2025-08-22,19:29:36 | INFO | Train Epoch: 5 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.40365 (0.44871) Boundary_loss: 0.012933 (0.013014) Loss: 0.41659 (0.46172) +2025-08-22,19:30:41 | INFO | Train Epoch: 5 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.40606 (0.44853) Boundary_loss: 0.013052 (0.013014) Loss: 0.41911 (0.46155) +2025-08-22,19:31:46 | INFO | Train Epoch: 5 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.50228 (0.44875) Boundary_loss: 0.012918 (0.013014) Loss: 0.51520 (0.46177) +2025-08-22,19:32:51 | INFO | Train Epoch: 5 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.42947 (0.44868) Boundary_loss: 0.013007 (0.013014) Loss: 0.44247 (0.46169) +2025-08-22,19:33:57 | INFO | Train Epoch: 5 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.47661 (0.44879) Boundary_loss: 0.012840 (0.013013) Loss: 0.48945 (0.46180) +2025-08-22,19:35:02 | INFO | Train Epoch: 5 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.45242 (0.44880) Boundary_loss: 0.012984 (0.013013) Loss: 0.46541 (0.46182) +2025-08-22,19:36:07 | INFO | Train Epoch: 5 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.570 Boundary Ratio: 0.100 Contrastive_loss: 0.42694 (0.44872) Boundary_loss: 0.013066 (0.013013) Loss: 0.44001 (0.46173) +2025-08-22,19:37:12 | INFO | Train Epoch: 5 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.41978 (0.44860) Boundary_loss: 0.013042 (0.013013) Loss: 0.43282 (0.46161) +2025-08-22,19:38:17 | INFO | Train Epoch: 5 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.37483 (0.44831) Boundary_loss: 0.012999 (0.013013) Loss: 0.38782 (0.46132) +2025-08-22,19:39:22 | INFO | Train Epoch: 5 [12851712/26365952 (49%)] Avg Boundaries (per batch): 18.977 Boundary Ratio: 0.097 Contrastive_loss: 0.50385 (0.44853) Boundary_loss: 0.013018 (0.013013) Loss: 0.51687 (0.46154) +2025-08-22,19:40:27 | INFO | Train Epoch: 5 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.37004 (0.44822) Boundary_loss: 0.013172 (0.013014) Loss: 0.38321 (0.46123) +2025-08-22,19:41:32 | INFO | Train Epoch: 5 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.37805 (0.44794) Boundary_loss: 0.012967 (0.013014) Loss: 0.39102 (0.46095) +2025-08-22,19:42:37 | INFO | Train Epoch: 5 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.47742 (0.44806) Boundary_loss: 0.012977 (0.013013) Loss: 0.49040 (0.46107) +2025-08-22,19:43:43 | INFO | Train Epoch: 5 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.45190 (0.44807) Boundary_loss: 0.012968 (0.013013) Loss: 0.46487 (0.46108) +2025-08-22,19:44:48 | INFO | Train Epoch: 5 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.40850 (0.44792) Boundary_loss: 0.012935 (0.013013) Loss: 0.42143 (0.46093) +2025-08-22,19:45:53 | INFO | Train Epoch: 5 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.48430 (0.44806) Boundary_loss: 0.012987 (0.013013) Loss: 0.49728 (0.46107) +2025-08-22,19:46:58 | INFO | Train Epoch: 5 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 0.45668 (0.44809) Boundary_loss: 0.013056 (0.013013) Loss: 0.46973 (0.46110) +2025-08-22,19:48:03 | INFO | Train Epoch: 5 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.40656 (0.44793) Boundary_loss: 0.012946 (0.013013) Loss: 0.41951 (0.46094) +2025-08-22,19:49:08 | INFO | Train Epoch: 5 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.45300 (0.44795) Boundary_loss: 0.012990 (0.013013) Loss: 0.46599 (0.46096) +2025-08-22,19:50:13 | INFO | Train Epoch: 5 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.41052 (0.44781) Boundary_loss: 0.013031 (0.013013) Loss: 0.42355 (0.46082) +2025-08-22,19:51:18 | INFO | Train Epoch: 5 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.41171 (0.44767) Boundary_loss: 0.013104 (0.013013) Loss: 0.42481 (0.46068) +2025-08-22,19:52:24 | INFO | Train Epoch: 5 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.41581 (0.44755) Boundary_loss: 0.013165 (0.013014) Loss: 0.42898 (0.46056) +2025-08-22,19:53:29 | INFO | Train Epoch: 5 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.37256 (0.44727) Boundary_loss: 0.013071 (0.013014) Loss: 0.38563 (0.46028) +2025-08-22,19:54:34 | INFO | Train Epoch: 5 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.45858 (0.44731) Boundary_loss: 0.013014 (0.013014) Loss: 0.47159 (0.46032) +2025-08-22,19:55:39 | INFO | Train Epoch: 5 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.41930 (0.44720) Boundary_loss: 0.013029 (0.013014) Loss: 0.43233 (0.46022) +2025-08-22,19:56:44 | INFO | Train Epoch: 5 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.38707 (0.44698) Boundary_loss: 0.013029 (0.013014) Loss: 0.40010 (0.45999) +2025-08-22,19:57:49 | INFO | Train Epoch: 5 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.46116 (0.44703) Boundary_loss: 0.012957 (0.013014) Loss: 0.47411 (0.46005) +2025-08-22,19:58:55 | INFO | Train Epoch: 5 [13773312/26365952 (52%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 0.41696 (0.44692) Boundary_loss: 0.013148 (0.013014) Loss: 0.43011 (0.45994) +2025-08-22,20:00:00 | INFO | Train Epoch: 5 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.53175 (0.44723) Boundary_loss: 0.013045 (0.013014) Loss: 0.54480 (0.46025) +2025-08-22,20:01:05 | INFO | Train Epoch: 5 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.35574 (0.44690) Boundary_loss: 0.013033 (0.013015) Loss: 0.36878 (0.45991) +2025-08-22,20:02:10 | INFO | Train Epoch: 5 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.41276 (0.44677) Boundary_loss: 0.013111 (0.013015) Loss: 0.42587 (0.45979) +2025-08-22,20:03:15 | INFO | Train Epoch: 5 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.45980 (0.44682) Boundary_loss: 0.013029 (0.013015) Loss: 0.47282 (0.45984) +2025-08-22,20:04:20 | INFO | Train Epoch: 5 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.40558 (0.44667) Boundary_loss: 0.012986 (0.013015) Loss: 0.41857 (0.45969) +2025-08-22,20:05:26 | INFO | Train Epoch: 5 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.46137 (0.44672) Boundary_loss: 0.013071 (0.013015) Loss: 0.47444 (0.45974) +2025-08-22,20:06:31 | INFO | Train Epoch: 5 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.42238 (0.44664) Boundary_loss: 0.012958 (0.013015) Loss: 0.43534 (0.45965) +2025-08-22,20:07:36 | INFO | Train Epoch: 5 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.45059 (0.44665) Boundary_loss: 0.013026 (0.013015) Loss: 0.46361 (0.45967) +2025-08-22,20:08:41 | INFO | Train Epoch: 5 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.46725 (0.44672) Boundary_loss: 0.012971 (0.013015) Loss: 0.48022 (0.45974) +2025-08-22,20:09:46 | INFO | Train Epoch: 5 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.45619 (0.44676) Boundary_loss: 0.013031 (0.013015) Loss: 0.46922 (0.45977) +2025-08-22,20:10:51 | INFO | Train Epoch: 5 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.42155 (0.44667) Boundary_loss: 0.012955 (0.013015) Loss: 0.43451 (0.45968) +2025-08-22,20:11:57 | INFO | Train Epoch: 5 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.52992 (0.44696) Boundary_loss: 0.012952 (0.013014) Loss: 0.54287 (0.45998) +2025-08-22,20:13:02 | INFO | Train Epoch: 5 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.47842 (0.44707) Boundary_loss: 0.013020 (0.013014) Loss: 0.49144 (0.46009) +2025-08-22,20:14:07 | INFO | Train Epoch: 5 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.38287 (0.44685) Boundary_loss: 0.013068 (0.013015) Loss: 0.39594 (0.45986) +2025-08-22,20:15:12 | INFO | Train Epoch: 5 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.49730 (0.44703) Boundary_loss: 0.013047 (0.013015) Loss: 0.51035 (0.46004) +2025-08-22,20:16:17 | INFO | Train Epoch: 5 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.41963 (0.44693) Boundary_loss: 0.012961 (0.013014) Loss: 0.43260 (0.45994) +2025-08-22,20:17:22 | INFO | Train Epoch: 5 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.47229 (0.44702) Boundary_loss: 0.013056 (0.013015) Loss: 0.48535 (0.46003) +2025-08-22,20:18:28 | INFO | Train Epoch: 5 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.46822 (0.44709) Boundary_loss: 0.013038 (0.013015) Loss: 0.48126 (0.46011) +2025-08-22,20:19:33 | INFO | Train Epoch: 5 [14746112/26365952 (56%)] Avg Boundaries (per batch): 18.898 Boundary Ratio: 0.096 Contrastive_loss: 0.46222 (0.44714) Boundary_loss: 0.012880 (0.013014) Loss: 0.47510 (0.46016) +2025-08-22,20:20:38 | INFO | Train Epoch: 5 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.39145 (0.44695) Boundary_loss: 0.012903 (0.013014) Loss: 0.40436 (0.45997) +2025-08-22,20:21:43 | INFO | Train Epoch: 5 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.51975 (0.44720) Boundary_loss: 0.013118 (0.013014) Loss: 0.53286 (0.46022) +2025-08-22,20:22:48 | INFO | Train Epoch: 5 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.46140 (0.44725) Boundary_loss: 0.013004 (0.013014) Loss: 0.47440 (0.46026) +2025-08-22,20:23:53 | INFO | Train Epoch: 5 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.34652 (0.44691) Boundary_loss: 0.013016 (0.013014) Loss: 0.35954 (0.45992) +2025-08-22,20:24:58 | INFO | Train Epoch: 5 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.46257 (0.44696) Boundary_loss: 0.013099 (0.013014) Loss: 0.47567 (0.45997) +2025-08-22,20:26:03 | INFO | Train Epoch: 5 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.45393 (0.44698) Boundary_loss: 0.012997 (0.013014) Loss: 0.46692 (0.46000) +2025-08-22,20:27:09 | INFO | Train Epoch: 5 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.53888 (0.44729) Boundary_loss: 0.013055 (0.013015) Loss: 0.55194 (0.46031) +2025-08-22,20:28:14 | INFO | Train Epoch: 5 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.42155 (0.44721) Boundary_loss: 0.013095 (0.013015) Loss: 0.43464 (0.46022) +2025-08-22,20:29:19 | INFO | Train Epoch: 5 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.47902 (0.44731) Boundary_loss: 0.012987 (0.013015) Loss: 0.49201 (0.46033) +2025-08-22,20:30:24 | INFO | Train Epoch: 5 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.793 Boundary Ratio: 0.101 Contrastive_loss: 0.37126 (0.44706) Boundary_loss: 0.013111 (0.013015) Loss: 0.38438 (0.46008) +2025-08-22,20:31:29 | INFO | Train Epoch: 5 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.38721 (0.44686) Boundary_loss: 0.012848 (0.013014) Loss: 0.40006 (0.45988) +2025-08-22,20:32:34 | INFO | Train Epoch: 5 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.42341 (0.44678) Boundary_loss: 0.013077 (0.013015) Loss: 0.43648 (0.45980) +2025-08-22,20:33:39 | INFO | Train Epoch: 5 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.36188 (0.44650) Boundary_loss: 0.012999 (0.013015) Loss: 0.37488 (0.45952) +2025-08-22,20:34:45 | INFO | Train Epoch: 5 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.41814 (0.44641) Boundary_loss: 0.013014 (0.013015) Loss: 0.43116 (0.45942) +2025-08-22,20:35:50 | INFO | Train Epoch: 5 [15514112/26365952 (59%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.49662 (0.44657) Boundary_loss: 0.013117 (0.013015) Loss: 0.50973 (0.45959) +2025-08-22,20:36:55 | INFO | Train Epoch: 5 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.44339 (0.44656) Boundary_loss: 0.013058 (0.013015) Loss: 0.45645 (0.45958) +2025-08-22,20:38:00 | INFO | Train Epoch: 5 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.44668 (0.44656) Boundary_loss: 0.012980 (0.013015) Loss: 0.45966 (0.45958) +2025-08-22,20:39:05 | INFO | Train Epoch: 5 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.46475 (0.44662) Boundary_loss: 0.012970 (0.013015) Loss: 0.47772 (0.45964) +2025-08-22,20:40:10 | INFO | Train Epoch: 5 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.47816 (0.44672) Boundary_loss: 0.012927 (0.013015) Loss: 0.49108 (0.45974) +2025-08-22,20:41:16 | INFO | Train Epoch: 5 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.50564 (0.44692) Boundary_loss: 0.012960 (0.013014) Loss: 0.51860 (0.45993) +2025-08-22,20:42:21 | INFO | Train Epoch: 5 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.37723 (0.44669) Boundary_loss: 0.013031 (0.013014) Loss: 0.39026 (0.45970) +2025-08-22,20:43:26 | INFO | Train Epoch: 5 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.52842 (0.44695) Boundary_loss: 0.013002 (0.013014) Loss: 0.54143 (0.45997) +2025-08-22,20:44:31 | INFO | Train Epoch: 5 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.53727 (0.44724) Boundary_loss: 0.012970 (0.013014) Loss: 0.55024 (0.46026) +2025-08-22,20:45:36 | INFO | Train Epoch: 5 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.48699 (0.44737) Boundary_loss: 0.012964 (0.013014) Loss: 0.49995 (0.46038) +2025-08-22,20:46:42 | INFO | Train Epoch: 5 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.54142 (0.44767) Boundary_loss: 0.013095 (0.013014) Loss: 0.55452 (0.46068) +2025-08-22,20:47:47 | INFO | Train Epoch: 5 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.44037 (0.44765) Boundary_loss: 0.012912 (0.013014) Loss: 0.45329 (0.46066) +2025-08-22,20:48:52 | INFO | Train Epoch: 5 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.670 Boundary Ratio: 0.100 Contrastive_loss: 0.37376 (0.44741) Boundary_loss: 0.013031 (0.013014) Loss: 0.38679 (0.46043) +2025-08-22,20:49:57 | INFO | Train Epoch: 5 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.38310 (0.44721) Boundary_loss: 0.013000 (0.013014) Loss: 0.39610 (0.46022) +2025-08-22,20:51:02 | INFO | Train Epoch: 5 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.46301 (0.44726) Boundary_loss: 0.012863 (0.013014) Loss: 0.47588 (0.46027) +2025-08-22,20:52:08 | INFO | Train Epoch: 5 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.53823 (0.44754) Boundary_loss: 0.013074 (0.013014) Loss: 0.55130 (0.46056) +2025-08-22,20:53:13 | INFO | Train Epoch: 5 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.35926 (0.44727) Boundary_loss: 0.012966 (0.013014) Loss: 0.37223 (0.46028) +2025-08-22,20:54:18 | INFO | Train Epoch: 5 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.45881 (0.44730) Boundary_loss: 0.012911 (0.013013) Loss: 0.47172 (0.46032) +2025-08-22,20:55:23 | INFO | Train Epoch: 5 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.631 Boundary Ratio: 0.100 Contrastive_loss: 0.41392 (0.44720) Boundary_loss: 0.012974 (0.013013) Loss: 0.42689 (0.46021) +2025-08-22,20:56:28 | INFO | Train Epoch: 5 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.44899 (0.44721) Boundary_loss: 0.013078 (0.013013) Loss: 0.46207 (0.46022) +2025-08-22,20:57:34 | INFO | Train Epoch: 5 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.52704 (0.44745) Boundary_loss: 0.012967 (0.013013) Loss: 0.54001 (0.46047) +2025-08-22,20:58:39 | INFO | Train Epoch: 5 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.43667 (0.44742) Boundary_loss: 0.013074 (0.013013) Loss: 0.44974 (0.46043) +2025-08-22,20:59:44 | INFO | Train Epoch: 5 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.40228 (0.44728) Boundary_loss: 0.013004 (0.013013) Loss: 0.41528 (0.46029) +2025-08-22,21:00:49 | INFO | Train Epoch: 5 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.41132 (0.44717) Boundary_loss: 0.013031 (0.013013) Loss: 0.42435 (0.46018) +2025-08-22,21:01:54 | INFO | Train Epoch: 5 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.44345 (0.44716) Boundary_loss: 0.012955 (0.013013) Loss: 0.45640 (0.46017) +2025-08-22,21:03:00 | INFO | Train Epoch: 5 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.41902 (0.44707) Boundary_loss: 0.013078 (0.013013) Loss: 0.43210 (0.46009) +2025-08-22,21:04:05 | INFO | Train Epoch: 5 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.43973 (0.44705) Boundary_loss: 0.013000 (0.013013) Loss: 0.45273 (0.46007) +2025-08-22,21:05:10 | INFO | Train Epoch: 5 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.33039 (0.44670) Boundary_loss: 0.012950 (0.013013) Loss: 0.34334 (0.45971) +2025-08-22,21:06:15 | INFO | Train Epoch: 5 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.688 Boundary Ratio: 0.100 Contrastive_loss: 0.33859 (0.44637) Boundary_loss: 0.013128 (0.013014) Loss: 0.35172 (0.45939) +2025-08-22,21:07:21 | INFO | Train Epoch: 5 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.46409 (0.44643) Boundary_loss: 0.013015 (0.013014) Loss: 0.47711 (0.45944) +2025-08-22,21:08:26 | INFO | Train Epoch: 5 [17050112/26365952 (65%)] Avg Boundaries (per batch): 18.965 Boundary Ratio: 0.097 Contrastive_loss: 0.43702 (0.44640) Boundary_loss: 0.013043 (0.013014) Loss: 0.45007 (0.45941) +2025-08-22,21:09:31 | INFO | Train Epoch: 5 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.42991 (0.44635) Boundary_loss: 0.013086 (0.013014) Loss: 0.44300 (0.45936) +2025-08-22,21:10:36 | INFO | Train Epoch: 5 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.40324 (0.44622) Boundary_loss: 0.013004 (0.013014) Loss: 0.41624 (0.45924) +2025-08-22,21:11:41 | INFO | Train Epoch: 5 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.38214 (0.44603) Boundary_loss: 0.013110 (0.013014) Loss: 0.39525 (0.45905) +2025-08-22,21:12:47 | INFO | Train Epoch: 5 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.48536 (0.44615) Boundary_loss: 0.013079 (0.013014) Loss: 0.49844 (0.45916) +2025-08-22,21:13:52 | INFO | Train Epoch: 5 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.46878 (0.44621) Boundary_loss: 0.013039 (0.013014) Loss: 0.48182 (0.45923) +2025-08-22,21:14:57 | INFO | Train Epoch: 5 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.42866 (0.44616) Boundary_loss: 0.013027 (0.013014) Loss: 0.44169 (0.45918) +2025-08-22,21:16:02 | INFO | Train Epoch: 5 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.46321 (0.44621) Boundary_loss: 0.013121 (0.013015) Loss: 0.47633 (0.45923) +2025-08-22,21:17:07 | INFO | Train Epoch: 5 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.38194 (0.44602) Boundary_loss: 0.013067 (0.013015) Loss: 0.39501 (0.45904) +2025-08-22,21:18:13 | INFO | Train Epoch: 5 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.40549 (0.44591) Boundary_loss: 0.012992 (0.013015) Loss: 0.41848 (0.45892) +2025-08-22,21:19:18 | INFO | Train Epoch: 5 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.38553 (0.44573) Boundary_loss: 0.013014 (0.013015) Loss: 0.39855 (0.45875) +2025-08-22,21:20:23 | INFO | Train Epoch: 5 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.33059 (0.44540) Boundary_loss: 0.012948 (0.013015) Loss: 0.34354 (0.45841) +2025-08-22,21:21:28 | INFO | Train Epoch: 5 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.48277 (0.44551) Boundary_loss: 0.013002 (0.013015) Loss: 0.49578 (0.45852) +2025-08-22,21:22:33 | INFO | Train Epoch: 5 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 0.39648 (0.44536) Boundary_loss: 0.013001 (0.013015) Loss: 0.40948 (0.45838) +2025-08-22,21:23:38 | INFO | Train Epoch: 5 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.48051 (0.44547) Boundary_loss: 0.012956 (0.013014) Loss: 0.49346 (0.45848) +2025-08-22,21:24:43 | INFO | Train Epoch: 5 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.50239 (0.44563) Boundary_loss: 0.012942 (0.013014) Loss: 0.51533 (0.45864) +2025-08-22,21:25:49 | INFO | Train Epoch: 5 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.45797 (0.44566) Boundary_loss: 0.012929 (0.013014) Loss: 0.47090 (0.45868) +2025-08-22,21:26:54 | INFO | Train Epoch: 5 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.36988 (0.44545) Boundary_loss: 0.013084 (0.013014) Loss: 0.38296 (0.45846) +2025-08-22,21:27:59 | INFO | Train Epoch: 5 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.46877 (0.44551) Boundary_loss: 0.013061 (0.013014) Loss: 0.48183 (0.45853) +2025-08-22,21:29:04 | INFO | Train Epoch: 5 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.51718 (0.44572) Boundary_loss: 0.013057 (0.013014) Loss: 0.53024 (0.45873) +2025-08-22,21:30:09 | INFO | Train Epoch: 5 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.46418 (0.44577) Boundary_loss: 0.013105 (0.013015) Loss: 0.47728 (0.45878) +2025-08-22,21:31:15 | INFO | Train Epoch: 5 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.44001 (0.44575) Boundary_loss: 0.012986 (0.013015) Loss: 0.45300 (0.45877) +2025-08-22,21:32:20 | INFO | Train Epoch: 5 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.46314 (0.44580) Boundary_loss: 0.013007 (0.013015) Loss: 0.47614 (0.45882) +2025-08-22,21:33:25 | INFO | Train Epoch: 5 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.49598 (0.44594) Boundary_loss: 0.013086 (0.013015) Loss: 0.50906 (0.45896) +2025-08-22,21:34:30 | INFO | Train Epoch: 5 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 0.39307 (0.44579) Boundary_loss: 0.012979 (0.013015) Loss: 0.40605 (0.45881) +2025-08-22,21:35:35 | INFO | Train Epoch: 5 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.42320 (0.44573) Boundary_loss: 0.013007 (0.013015) Loss: 0.43621 (0.45875) +2025-08-22,21:36:41 | INFO | Train Epoch: 5 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.50695 (0.44590) Boundary_loss: 0.012935 (0.013014) Loss: 0.51988 (0.45892) +2025-08-22,21:37:46 | INFO | Train Epoch: 5 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.35518 (0.44565) Boundary_loss: 0.012984 (0.013014) Loss: 0.36817 (0.45866) +2025-08-22,21:38:51 | INFO | Train Epoch: 5 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.35188 (0.44539) Boundary_loss: 0.012906 (0.013014) Loss: 0.36479 (0.45841) +2025-08-22,21:39:56 | INFO | Train Epoch: 5 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.44200 (0.44538) Boundary_loss: 0.013009 (0.013014) Loss: 0.45501 (0.45840) +2025-08-22,21:41:01 | INFO | Train Epoch: 5 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.49784 (0.44553) Boundary_loss: 0.012963 (0.013014) Loss: 0.51080 (0.45854) +2025-08-22,21:42:06 | INFO | Train Epoch: 5 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.45344 (0.44555) Boundary_loss: 0.012990 (0.013014) Loss: 0.46643 (0.45856) +2025-08-22,21:43:12 | INFO | Train Epoch: 5 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.42866 (0.44550) Boundary_loss: 0.013012 (0.013014) Loss: 0.44167 (0.45852) +2025-08-22,21:44:17 | INFO | Train Epoch: 5 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.543 Boundary Ratio: 0.100 Contrastive_loss: 0.33914 (0.44521) Boundary_loss: 0.013056 (0.013014) Loss: 0.35220 (0.45823) +2025-08-22,21:45:22 | INFO | Train Epoch: 5 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.46739 (0.44527) Boundary_loss: 0.012959 (0.013014) Loss: 0.48034 (0.45829) +2025-08-22,21:46:27 | INFO | Train Epoch: 5 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 0.51616 (0.44546) Boundary_loss: 0.013144 (0.013014) Loss: 0.52931 (0.45848) +2025-08-22,21:47:32 | INFO | Train Epoch: 5 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.45091 (0.44548) Boundary_loss: 0.013028 (0.013014) Loss: 0.46394 (0.45849) +2025-08-22,21:48:37 | INFO | Train Epoch: 5 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.55506 (0.44577) Boundary_loss: 0.013065 (0.013014) Loss: 0.56813 (0.45879) +2025-08-22,21:49:43 | INFO | Train Epoch: 5 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.40412 (0.44566) Boundary_loss: 0.013057 (0.013014) Loss: 0.41717 (0.45868) +2025-08-22,21:50:48 | INFO | Train Epoch: 5 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.37061 (0.44546) Boundary_loss: 0.012939 (0.013014) Loss: 0.38355 (0.45848) +2025-08-22,21:51:53 | INFO | Train Epoch: 5 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.45102 (0.44548) Boundary_loss: 0.012958 (0.013014) Loss: 0.46398 (0.45849) +2025-08-22,21:52:58 | INFO | Train Epoch: 5 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.41196 (0.44539) Boundary_loss: 0.012977 (0.013014) Loss: 0.42494 (0.45840) +2025-08-22,21:54:04 | INFO | Train Epoch: 5 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.44548 (0.44539) Boundary_loss: 0.012866 (0.013014) Loss: 0.45835 (0.45840) +2025-08-22,21:55:09 | INFO | Train Epoch: 5 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.44465 (0.44538) Boundary_loss: 0.012930 (0.013013) Loss: 0.45758 (0.45840) +2025-08-22,21:56:14 | INFO | Train Epoch: 5 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.36349 (0.44517) Boundary_loss: 0.012888 (0.013013) Loss: 0.37637 (0.45818) +2025-08-22,21:57:19 | INFO | Train Epoch: 5 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.44563 (0.44517) Boundary_loss: 0.012996 (0.013013) Loss: 0.45863 (0.45818) +2025-08-22,21:58:24 | INFO | Train Epoch: 5 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.40446 (0.44506) Boundary_loss: 0.013002 (0.013013) Loss: 0.41746 (0.45808) +2025-08-22,21:59:29 | INFO | Train Epoch: 5 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.55478 (0.44535) Boundary_loss: 0.012943 (0.013013) Loss: 0.56772 (0.45836) +2025-08-22,22:00:35 | INFO | Train Epoch: 5 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.40293 (0.44524) Boundary_loss: 0.012966 (0.013013) Loss: 0.41590 (0.45825) +2025-08-22,22:01:40 | INFO | Train Epoch: 5 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.47590 (0.44532) Boundary_loss: 0.012973 (0.013013) Loss: 0.48887 (0.45833) +2025-08-22,22:02:45 | INFO | Train Epoch: 5 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.45925 (0.44536) Boundary_loss: 0.012938 (0.013012) Loss: 0.47219 (0.45837) +2025-08-22,22:03:50 | INFO | Train Epoch: 5 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.49661 (0.44549) Boundary_loss: 0.013037 (0.013012) Loss: 0.50965 (0.45850) +2025-08-22,22:04:55 | INFO | Train Epoch: 5 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.39271 (0.44535) Boundary_loss: 0.012975 (0.013012) Loss: 0.40569 (0.45836) +2025-08-22,22:06:01 | INFO | Train Epoch: 5 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.51077 (0.44552) Boundary_loss: 0.013029 (0.013012) Loss: 0.52380 (0.45853) +2025-08-22,22:07:06 | INFO | Train Epoch: 5 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.47779 (0.44560) Boundary_loss: 0.013024 (0.013012) Loss: 0.49081 (0.45862) +2025-08-22,22:08:11 | INFO | Train Epoch: 5 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.37491 (0.44542) Boundary_loss: 0.013028 (0.013012) Loss: 0.38794 (0.45843) +2025-08-22,22:09:16 | INFO | Train Epoch: 5 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.39277 (0.44529) Boundary_loss: 0.013033 (0.013012) Loss: 0.40581 (0.45830) +2025-08-22,22:10:21 | INFO | Train Epoch: 5 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.46880 (0.44535) Boundary_loss: 0.013028 (0.013013) Loss: 0.48183 (0.45836) +2025-08-22,22:11:26 | INFO | Train Epoch: 5 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.695 Boundary Ratio: 0.100 Contrastive_loss: 0.50403 (0.44550) Boundary_loss: 0.013015 (0.013013) Loss: 0.51705 (0.45851) +2025-08-22,22:12:32 | INFO | Train Epoch: 5 [20070912/26365952 (76%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 0.41873 (0.44543) Boundary_loss: 0.012928 (0.013012) Loss: 0.43165 (0.45844) +2025-08-22,22:13:37 | INFO | Train Epoch: 5 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.48180 (0.44552) Boundary_loss: 0.012870 (0.013012) Loss: 0.49467 (0.45853) +2025-08-22,22:14:42 | INFO | Train Epoch: 5 [20173312/26365952 (77%)] Avg Boundaries (per batch): 18.957 Boundary Ratio: 0.097 Contrastive_loss: 0.44125 (0.44551) Boundary_loss: 0.012915 (0.013012) Loss: 0.45416 (0.45852) +2025-08-22,22:15:47 | INFO | Train Epoch: 5 [20224512/26365952 (77%)] Avg Boundaries (per batch): 18.908 Boundary Ratio: 0.096 Contrastive_loss: 0.40913 (0.44542) Boundary_loss: 0.012969 (0.013012) Loss: 0.42210 (0.45843) +2025-08-22,22:16:52 | INFO | Train Epoch: 5 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.46250 (0.44546) Boundary_loss: 0.013043 (0.013012) Loss: 0.47554 (0.45847) +2025-08-22,22:17:58 | INFO | Train Epoch: 5 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.52918 (0.44567) Boundary_loss: 0.012989 (0.013012) Loss: 0.54217 (0.45868) +2025-08-22,22:19:03 | INFO | Train Epoch: 5 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.40247 (0.44556) Boundary_loss: 0.012935 (0.013011) Loss: 0.41541 (0.45858) +2025-08-22,22:20:08 | INFO | Train Epoch: 5 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.43112 (0.44553) Boundary_loss: 0.012977 (0.013011) Loss: 0.44410 (0.45854) +2025-08-22,22:21:13 | INFO | Train Epoch: 5 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.46362 (0.44557) Boundary_loss: 0.012978 (0.013011) Loss: 0.47660 (0.45858) +2025-08-22,22:22:18 | INFO | Train Epoch: 5 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.52856 (0.44578) Boundary_loss: 0.013017 (0.013011) Loss: 0.54158 (0.45879) +2025-08-22,22:23:24 | INFO | Train Epoch: 5 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.40107 (0.44567) Boundary_loss: 0.013096 (0.013011) Loss: 0.41417 (0.45868) +2025-08-22,22:24:29 | INFO | Train Epoch: 5 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.41490 (0.44559) Boundary_loss: 0.013029 (0.013012) Loss: 0.42793 (0.45860) +2025-08-22,22:25:34 | INFO | Train Epoch: 5 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.43531 (0.44557) Boundary_loss: 0.013077 (0.013012) Loss: 0.44839 (0.45858) +2025-08-22,22:26:39 | INFO | Train Epoch: 5 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.592 Boundary Ratio: 0.100 Contrastive_loss: 0.43852 (0.44555) Boundary_loss: 0.012947 (0.013012) Loss: 0.45146 (0.45856) +2025-08-22,22:27:44 | INFO | Train Epoch: 5 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.52387 (0.44574) Boundary_loss: 0.013092 (0.013012) Loss: 0.53696 (0.45875) +2025-08-22,22:28:50 | INFO | Train Epoch: 5 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 0.55650 (0.44601) Boundary_loss: 0.013076 (0.013012) Loss: 0.56957 (0.45903) +2025-08-22,22:29:55 | INFO | Train Epoch: 5 [20890112/26365952 (79%)] Avg Boundaries (per batch): 18.979 Boundary Ratio: 0.097 Contrastive_loss: 0.42560 (0.44596) Boundary_loss: 0.013012 (0.013012) Loss: 0.43861 (0.45898) +2025-08-22,22:31:00 | INFO | Train Epoch: 5 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.37494 (0.44579) Boundary_loss: 0.013081 (0.013012) Loss: 0.38802 (0.45880) +2025-08-22,22:32:05 | INFO | Train Epoch: 5 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.35006 (0.44556) Boundary_loss: 0.012994 (0.013012) Loss: 0.36306 (0.45857) +2025-08-22,22:33:10 | INFO | Train Epoch: 5 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.46127 (0.44560) Boundary_loss: 0.012966 (0.013012) Loss: 0.47424 (0.45861) +2025-08-22,22:34:15 | INFO | Train Epoch: 5 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.43571 (0.44557) Boundary_loss: 0.013042 (0.013012) Loss: 0.44876 (0.45858) +2025-08-22,22:35:20 | INFO | Train Epoch: 5 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.713 Boundary Ratio: 0.101 Contrastive_loss: 0.35663 (0.44536) Boundary_loss: 0.012970 (0.013012) Loss: 0.36960 (0.45837) +2025-08-22,22:36:26 | INFO | Train Epoch: 5 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.777 Boundary Ratio: 0.101 Contrastive_loss: 0.37663 (0.44519) Boundary_loss: 0.013090 (0.013012) Loss: 0.38972 (0.45820) +2025-08-22,22:37:31 | INFO | Train Epoch: 5 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.36425 (0.44500) Boundary_loss: 0.013038 (0.013012) Loss: 0.37729 (0.45801) +2025-08-22,22:38:36 | INFO | Train Epoch: 5 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.45469 (0.44502) Boundary_loss: 0.012837 (0.013012) Loss: 0.46753 (0.45803) +2025-08-22,22:39:41 | INFO | Train Epoch: 5 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.41746 (0.44495) Boundary_loss: 0.012923 (0.013011) Loss: 0.43038 (0.45797) +2025-08-22,22:40:46 | INFO | Train Epoch: 5 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.42490 (0.44491) Boundary_loss: 0.012920 (0.013011) Loss: 0.43782 (0.45792) +2025-08-22,22:41:51 | INFO | Train Epoch: 5 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.38562 (0.44476) Boundary_loss: 0.013050 (0.013011) Loss: 0.39867 (0.45778) +2025-08-22,22:42:57 | INFO | Train Epoch: 5 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.42526 (0.44472) Boundary_loss: 0.013129 (0.013012) Loss: 0.43839 (0.45773) +2025-08-22,22:44:02 | INFO | Train Epoch: 5 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.41069 (0.44464) Boundary_loss: 0.013000 (0.013012) Loss: 0.42369 (0.45765) +2025-08-22,22:45:07 | INFO | Train Epoch: 5 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.58923 (0.44498) Boundary_loss: 0.012927 (0.013011) Loss: 0.60216 (0.45799) +2025-08-22,22:46:12 | INFO | Train Epoch: 5 [21658112/26365952 (82%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 0.49915 (0.44511) Boundary_loss: 0.013143 (0.013012) Loss: 0.51229 (0.45812) +2025-08-22,22:47:17 | INFO | Train Epoch: 5 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.34880 (0.44488) Boundary_loss: 0.013029 (0.013012) Loss: 0.36183 (0.45789) +2025-08-22,22:48:23 | INFO | Train Epoch: 5 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.42168 (0.44483) Boundary_loss: 0.012839 (0.013011) Loss: 0.43451 (0.45784) +2025-08-22,22:49:28 | INFO | Train Epoch: 5 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.44009 (0.44482) Boundary_loss: 0.013080 (0.013011) Loss: 0.45317 (0.45783) +2025-08-22,22:50:33 | INFO | Train Epoch: 5 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.37506 (0.44465) Boundary_loss: 0.012975 (0.013011) Loss: 0.38804 (0.45766) +2025-08-22,22:51:38 | INFO | Train Epoch: 5 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.36635 (0.44447) Boundary_loss: 0.012962 (0.013011) Loss: 0.37931 (0.45748) +2025-08-22,22:52:43 | INFO | Train Epoch: 5 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.45979 (0.44451) Boundary_loss: 0.013016 (0.013011) Loss: 0.47280 (0.45752) +2025-08-22,22:53:48 | INFO | Train Epoch: 5 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.574 Boundary Ratio: 0.100 Contrastive_loss: 0.45257 (0.44452) Boundary_loss: 0.012978 (0.013011) Loss: 0.46555 (0.45754) +2025-08-22,22:54:54 | INFO | Train Epoch: 5 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.41695 (0.44446) Boundary_loss: 0.013104 (0.013011) Loss: 0.43005 (0.45747) +2025-08-22,22:55:59 | INFO | Train Epoch: 5 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.46788 (0.44451) Boundary_loss: 0.013110 (0.013012) Loss: 0.48099 (0.45753) +2025-08-22,22:57:04 | INFO | Train Epoch: 5 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.43468 (0.44449) Boundary_loss: 0.013090 (0.013012) Loss: 0.44777 (0.45750) +2025-08-22,22:58:09 | INFO | Train Epoch: 5 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.729 Boundary Ratio: 0.101 Contrastive_loss: 0.44342 (0.44449) Boundary_loss: 0.012956 (0.013012) Loss: 0.45638 (0.45750) +2025-08-22,22:59:14 | INFO | Train Epoch: 5 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.46727 (0.44454) Boundary_loss: 0.013019 (0.013012) Loss: 0.48029 (0.45755) +2025-08-22,23:00:20 | INFO | Train Epoch: 5 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.44298 (0.44454) Boundary_loss: 0.013008 (0.013012) Loss: 0.45599 (0.45755) +2025-08-22,23:01:25 | INFO | Train Epoch: 5 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.51604 (0.44470) Boundary_loss: 0.013089 (0.013012) Loss: 0.52913 (0.45771) +2025-08-22,23:02:30 | INFO | Train Epoch: 5 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.32308 (0.44442) Boundary_loss: 0.013080 (0.013012) Loss: 0.33616 (0.45744) +2025-08-22,23:03:35 | INFO | Train Epoch: 5 [22477312/26365952 (85%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 0.35297 (0.44422) Boundary_loss: 0.013032 (0.013012) Loss: 0.36601 (0.45723) +2025-08-22,23:04:41 | INFO | Train Epoch: 5 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.47087 (0.44428) Boundary_loss: 0.013015 (0.013012) Loss: 0.48388 (0.45729) +2025-08-22,23:05:46 | INFO | Train Epoch: 5 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.744 Boundary Ratio: 0.101 Contrastive_loss: 0.46852 (0.44433) Boundary_loss: 0.013047 (0.013012) Loss: 0.48157 (0.45734) +2025-08-22,23:06:51 | INFO | Train Epoch: 5 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.41450 (0.44426) Boundary_loss: 0.013038 (0.013012) Loss: 0.42754 (0.45728) +2025-08-22,23:07:56 | INFO | Train Epoch: 5 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.41305 (0.44419) Boundary_loss: 0.013038 (0.013012) Loss: 0.42609 (0.45721) +2025-08-22,23:09:01 | INFO | Train Epoch: 5 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.48856 (0.44429) Boundary_loss: 0.013010 (0.013012) Loss: 0.50157 (0.45731) +2025-08-22,23:10:06 | INFO | Train Epoch: 5 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.697 Boundary Ratio: 0.100 Contrastive_loss: 0.46154 (0.44433) Boundary_loss: 0.013042 (0.013012) Loss: 0.47458 (0.45734) +2025-08-22,23:11:12 | INFO | Train Epoch: 5 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.43356 (0.44431) Boundary_loss: 0.013007 (0.013012) Loss: 0.44657 (0.45732) +2025-08-22,23:12:17 | INFO | Train Epoch: 5 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.37210 (0.44415) Boundary_loss: 0.012972 (0.013012) Loss: 0.38508 (0.45716) +2025-08-22,23:13:22 | INFO | Train Epoch: 5 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.48271 (0.44423) Boundary_loss: 0.012991 (0.013012) Loss: 0.49570 (0.45725) +2025-08-22,23:14:27 | INFO | Train Epoch: 5 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.42225 (0.44418) Boundary_loss: 0.013033 (0.013012) Loss: 0.43529 (0.45720) +2025-08-22,23:15:32 | INFO | Train Epoch: 5 [23040512/26365952 (87%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 0.50665 (0.44432) Boundary_loss: 0.013076 (0.013012) Loss: 0.51972 (0.45733) +2025-08-22,23:16:38 | INFO | Train Epoch: 5 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.50386 (0.44445) Boundary_loss: 0.013036 (0.013012) Loss: 0.51689 (0.45747) +2025-08-22,23:17:43 | INFO | Train Epoch: 5 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.48146 (0.44454) Boundary_loss: 0.013007 (0.013012) Loss: 0.49446 (0.45755) +2025-08-22,23:18:48 | INFO | Train Epoch: 5 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.44602 (0.44454) Boundary_loss: 0.013006 (0.013012) Loss: 0.45903 (0.45755) +2025-08-22,23:19:53 | INFO | Train Epoch: 5 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.56554 (0.44481) Boundary_loss: 0.013073 (0.013013) Loss: 0.57862 (0.45782) +2025-08-22,23:20:58 | INFO | Train Epoch: 5 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.45674 (0.44483) Boundary_loss: 0.012964 (0.013012) Loss: 0.46971 (0.45784) +2025-08-22,23:22:04 | INFO | Train Epoch: 5 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.34069 (0.44460) Boundary_loss: 0.013100 (0.013013) Loss: 0.35379 (0.45762) +2025-08-22,23:23:09 | INFO | Train Epoch: 5 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 0.43327 (0.44458) Boundary_loss: 0.012982 (0.013013) Loss: 0.44625 (0.45759) +2025-08-22,23:24:14 | INFO | Train Epoch: 5 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.52736 (0.44476) Boundary_loss: 0.012944 (0.013012) Loss: 0.54030 (0.45777) +2025-08-22,23:25:19 | INFO | Train Epoch: 5 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.40212 (0.44467) Boundary_loss: 0.012928 (0.013012) Loss: 0.41505 (0.45768) +2025-08-22,23:26:24 | INFO | Train Epoch: 5 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.41617 (0.44460) Boundary_loss: 0.012983 (0.013012) Loss: 0.42915 (0.45762) +2025-08-22,23:27:29 | INFO | Train Epoch: 5 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.49165 (0.44471) Boundary_loss: 0.012958 (0.013012) Loss: 0.50461 (0.45772) +2025-08-22,23:28:35 | INFO | Train Epoch: 5 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.46177 (0.44474) Boundary_loss: 0.013027 (0.013012) Loss: 0.47480 (0.45776) +2025-08-22,23:29:40 | INFO | Train Epoch: 5 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.42045 (0.44469) Boundary_loss: 0.013004 (0.013012) Loss: 0.43345 (0.45770) +2025-08-22,23:30:45 | INFO | Train Epoch: 5 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.44235 (0.44469) Boundary_loss: 0.013097 (0.013012) Loss: 0.45545 (0.45770) +2025-08-22,23:31:50 | INFO | Train Epoch: 5 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 0.39522 (0.44458) Boundary_loss: 0.013119 (0.013013) Loss: 0.40834 (0.45759) +2025-08-22,23:32:56 | INFO | Train Epoch: 5 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.44396 (0.44458) Boundary_loss: 0.012966 (0.013012) Loss: 0.45693 (0.45759) +2025-08-22,23:34:01 | INFO | Train Epoch: 5 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.45706 (0.44461) Boundary_loss: 0.012954 (0.013012) Loss: 0.47001 (0.45762) +2025-08-22,23:35:06 | INFO | Train Epoch: 5 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.39354 (0.44450) Boundary_loss: 0.013012 (0.013012) Loss: 0.40655 (0.45751) +2025-08-22,23:36:11 | INFO | Train Epoch: 5 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 0.44380 (0.44449) Boundary_loss: 0.013031 (0.013012) Loss: 0.45683 (0.45751) +2025-08-22,23:37:16 | INFO | Train Epoch: 5 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.44720 (0.44450) Boundary_loss: 0.012999 (0.013012) Loss: 0.46020 (0.45751) +2025-08-22,23:38:21 | INFO | Train Epoch: 5 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.42019 (0.44445) Boundary_loss: 0.012902 (0.013012) Loss: 0.43309 (0.45746) +2025-08-22,23:39:27 | INFO | Train Epoch: 5 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 0.47140 (0.44451) Boundary_loss: 0.012991 (0.013012) Loss: 0.48439 (0.45752) +2025-08-22,23:40:32 | INFO | Train Epoch: 5 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.570 Boundary Ratio: 0.100 Contrastive_loss: 0.43186 (0.44448) Boundary_loss: 0.013056 (0.013012) Loss: 0.44491 (0.45749) +2025-08-22,23:41:37 | INFO | Train Epoch: 5 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.51848 (0.44463) Boundary_loss: 0.012977 (0.013012) Loss: 0.53145 (0.45765) +2025-08-22,23:42:42 | INFO | Train Epoch: 5 [24320512/26365952 (92%)] Avg Boundaries (per batch): 18.986 Boundary Ratio: 0.097 Contrastive_loss: 0.44268 (0.44463) Boundary_loss: 0.012998 (0.013012) Loss: 0.45568 (0.45764) +2025-08-22,23:43:47 | INFO | Train Epoch: 5 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 0.47292 (0.44469) Boundary_loss: 0.013057 (0.013012) Loss: 0.48597 (0.45770) +2025-08-22,23:44:53 | INFO | Train Epoch: 5 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.47875 (0.44476) Boundary_loss: 0.012921 (0.013012) Loss: 0.49167 (0.45777) +2025-08-22,23:45:58 | INFO | Train Epoch: 5 [24474112/26365952 (93%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 0.49369 (0.44486) Boundary_loss: 0.013013 (0.013012) Loss: 0.50670 (0.45788) +2025-08-22,23:47:03 | INFO | Train Epoch: 5 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.48573 (0.44495) Boundary_loss: 0.012904 (0.013012) Loss: 0.49863 (0.45796) +2025-08-22,23:48:08 | INFO | Train Epoch: 5 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.46265 (0.44499) Boundary_loss: 0.012984 (0.013012) Loss: 0.47563 (0.45800) +2025-08-22,23:49:13 | INFO | Train Epoch: 5 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.42384 (0.44494) Boundary_loss: 0.012946 (0.013011) Loss: 0.43678 (0.45795) +2025-08-22,23:50:19 | INFO | Train Epoch: 5 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.35172 (0.44475) Boundary_loss: 0.013005 (0.013011) Loss: 0.36473 (0.45776) +2025-08-22,23:51:24 | INFO | Train Epoch: 5 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.43407 (0.44473) Boundary_loss: 0.012947 (0.013011) Loss: 0.44702 (0.45774) +2025-08-22,23:52:29 | INFO | Train Epoch: 5 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 0.38215 (0.44460) Boundary_loss: 0.012958 (0.013011) Loss: 0.39511 (0.45761) +2025-08-22,23:53:34 | INFO | Train Epoch: 5 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.45320 (0.44462) Boundary_loss: 0.012995 (0.013011) Loss: 0.46619 (0.45763) +2025-08-22,23:54:40 | INFO | Train Epoch: 5 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.39296 (0.44451) Boundary_loss: 0.013000 (0.013011) Loss: 0.40596 (0.45752) +2025-08-22,23:55:45 | INFO | Train Epoch: 5 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.44188 (0.44450) Boundary_loss: 0.012965 (0.013011) Loss: 0.45484 (0.45751) +2025-08-22,23:56:50 | INFO | Train Epoch: 5 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.44621 (0.44451) Boundary_loss: 0.012945 (0.013011) Loss: 0.45915 (0.45752) +2025-08-22,23:57:55 | INFO | Train Epoch: 5 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.47523 (0.44457) Boundary_loss: 0.012947 (0.013011) Loss: 0.48817 (0.45758) +2025-08-22,23:59:00 | INFO | Train Epoch: 5 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.46083 (0.44460) Boundary_loss: 0.012963 (0.013011) Loss: 0.47380 (0.45761) +2025-08-23,00:00:06 | INFO | Train Epoch: 5 [25139712/26365952 (95%)] Avg Boundaries (per batch): 18.920 Boundary Ratio: 0.097 Contrastive_loss: 0.45637 (0.44463) Boundary_loss: 0.013050 (0.013011) Loss: 0.46942 (0.45764) +2025-08-23,00:01:11 | INFO | Train Epoch: 5 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.754 Boundary Ratio: 0.101 Contrastive_loss: 0.40905 (0.44455) Boundary_loss: 0.012987 (0.013011) Loss: 0.42204 (0.45757) +2025-08-23,00:02:16 | INFO | Train Epoch: 5 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.47051 (0.44461) Boundary_loss: 0.012883 (0.013010) Loss: 0.48339 (0.45762) +2025-08-23,00:03:21 | INFO | Train Epoch: 5 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.41896 (0.44456) Boundary_loss: 0.013092 (0.013011) Loss: 0.43205 (0.45757) +2025-08-23,00:04:27 | INFO | Train Epoch: 5 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.45104 (0.44457) Boundary_loss: 0.013023 (0.013011) Loss: 0.46407 (0.45758) +2025-08-23,00:05:32 | INFO | Train Epoch: 5 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.49930 (0.44468) Boundary_loss: 0.013025 (0.013011) Loss: 0.51233 (0.45769) +2025-08-23,00:06:37 | INFO | Train Epoch: 5 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.44360 (0.44468) Boundary_loss: 0.012989 (0.013011) Loss: 0.45659 (0.45769) +2025-08-23,00:07:42 | INFO | Train Epoch: 5 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.43693 (0.44466) Boundary_loss: 0.012974 (0.013011) Loss: 0.44990 (0.45767) +2025-08-23,00:08:47 | INFO | Train Epoch: 5 [25549312/26365952 (97%)] Avg Boundaries (per batch): 18.889 Boundary Ratio: 0.096 Contrastive_loss: 0.38929 (0.44455) Boundary_loss: 0.012934 (0.013010) Loss: 0.40223 (0.45756) +2025-08-23,00:09:53 | INFO | Train Epoch: 5 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.46329 (0.44459) Boundary_loss: 0.013023 (0.013010) Loss: 0.47631 (0.45760) +2025-08-23,00:10:58 | INFO | Train Epoch: 5 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.42411 (0.44455) Boundary_loss: 0.012948 (0.013010) Loss: 0.43705 (0.45756) +2025-08-23,00:12:03 | INFO | Train Epoch: 5 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.44692 (0.44455) Boundary_loss: 0.013009 (0.013010) Loss: 0.45993 (0.45756) +2025-08-23,00:13:08 | INFO | Train Epoch: 5 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.42405 (0.44451) Boundary_loss: 0.013082 (0.013010) Loss: 0.43713 (0.45752) +2025-08-23,00:14:13 | INFO | Train Epoch: 5 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 0.43517 (0.44449) Boundary_loss: 0.012980 (0.013010) Loss: 0.44815 (0.45750) +2025-08-23,00:15:19 | INFO | Train Epoch: 5 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.37369 (0.44435) Boundary_loss: 0.013050 (0.013011) Loss: 0.38674 (0.45736) +2025-08-23,00:16:24 | INFO | Train Epoch: 5 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.39263 (0.44425) Boundary_loss: 0.013012 (0.013011) Loss: 0.40564 (0.45726) +2025-08-23,00:17:29 | INFO | Train Epoch: 5 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.43396 (0.44423) Boundary_loss: 0.013006 (0.013010) Loss: 0.44697 (0.45724) +2025-08-23,00:18:34 | INFO | Train Epoch: 5 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.40864 (0.44416) Boundary_loss: 0.013003 (0.013010) Loss: 0.42164 (0.45717) +2025-08-23,00:19:39 | INFO | Train Epoch: 5 [26061312/26365952 (99%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 0.40177 (0.44408) Boundary_loss: 0.012991 (0.013010) Loss: 0.41476 (0.45709) +2025-08-23,00:20:44 | INFO | Train Epoch: 5 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.689 Boundary Ratio: 0.100 Contrastive_loss: 0.47282 (0.44413) Boundary_loss: 0.012900 (0.013010) Loss: 0.48572 (0.45714) +2025-08-23,00:21:50 | INFO | Train Epoch: 5 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.50237 (0.44425) Boundary_loss: 0.012963 (0.013010) Loss: 0.51533 (0.45726) +2025-08-23,00:22:55 | INFO | Train Epoch: 5 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.33634 (0.44404) Boundary_loss: 0.013125 (0.013010) Loss: 0.34947 (0.45705) +2025-08-23,00:24:00 | INFO | Train Epoch: 5 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.40833 (0.44397) Boundary_loss: 0.012904 (0.013010) Loss: 0.42123 (0.45698) +2025-08-23,00:25:05 | INFO | Train Epoch: 5 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.46353 (0.44401) Boundary_loss: 0.012962 (0.013010) Loss: 0.47649 (0.45702) +2025-08-23,00:26:07 | INFO | Train Epoch: 5 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.39126 (0.44390) Boundary_loss: 0.012973 (0.013010) Loss: 0.40423 (0.45691) +2025-08-23,00:26:07 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-23,00:26:07 | INFO | [Epoch 5] Average Step Time: 0.655s | Average GPU Memory: 37.3 GB +2025-08-23,00:26:07 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-23,00:26:07 | INFO | Starting zero-shot imagenet. +2025-08-23,00:26:07 | INFO | Building zero-shot classifier +2025-08-23,00:26:16 | INFO | Using classifier +2025-08-23,00:27:35 | INFO | Finished zero-shot imagenet. +2025-08-23,00:27:35 | INFO | Eval Epoch: 6 imagenet-zeroshot-val-top1: 0.2556 imagenet-zeroshot-val-top5: 0.5073 +2025-08-23,00:27:37 | INFO | Start epoch 6 +2025-08-23,00:27:39 | INFO | Train Epoch: 6 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.39923 (0.39923) Boundary_loss: 0.012973 (0.012973) Loss: 0.41220 (0.41220) +2025-08-23,00:28:44 | INFO | Train Epoch: 6 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.41525 (0.40724) Boundary_loss: 0.012993 (0.012983) Loss: 0.42824 (0.42022) +2025-08-23,00:29:49 | INFO | Train Epoch: 6 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 18.957 Boundary Ratio: 0.097 Contrastive_loss: 0.39652 (0.40366) Boundary_loss: 0.012933 (0.012967) Loss: 0.40945 (0.41663) +2025-08-23,00:30:54 | INFO | Train Epoch: 6 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.43990 (0.41272) Boundary_loss: 0.012922 (0.012955) Loss: 0.45282 (0.42568) +2025-08-23,00:31:58 | INFO | Train Epoch: 6 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.672 Boundary Ratio: 0.100 Contrastive_loss: 0.50291 (0.43076) Boundary_loss: 0.012979 (0.012960) Loss: 0.51589 (0.44372) +2025-08-23,00:33:03 | INFO | Train Epoch: 6 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.40023 (0.42567) Boundary_loss: 0.013021 (0.012970) Loss: 0.41325 (0.43864) +2025-08-23,00:34:08 | INFO | Train Epoch: 6 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.41501 (0.42415) Boundary_loss: 0.012966 (0.012970) Loss: 0.42798 (0.43712) +2025-08-23,00:35:13 | INFO | Train Epoch: 6 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.31289 (0.41024) Boundary_loss: 0.013013 (0.012975) Loss: 0.32590 (0.42321) +2025-08-23,00:36:18 | INFO | Train Epoch: 6 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.40307 (0.40944) Boundary_loss: 0.012919 (0.012969) Loss: 0.41599 (0.42241) +2025-08-23,00:37:23 | INFO | Train Epoch: 6 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.32632 (0.40113) Boundary_loss: 0.012910 (0.012963) Loss: 0.33923 (0.41409) +2025-08-23,00:38:28 | INFO | Train Epoch: 6 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.36994 (0.39830) Boundary_loss: 0.012985 (0.012965) Loss: 0.38293 (0.41126) +2025-08-23,00:39:33 | INFO | Train Epoch: 6 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.43781 (0.40159) Boundary_loss: 0.012978 (0.012966) Loss: 0.45079 (0.41456) +2025-08-23,00:40:38 | INFO | Train Epoch: 6 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.40106 (0.40155) Boundary_loss: 0.013010 (0.012969) Loss: 0.41407 (0.41452) +2025-08-23,00:41:43 | INFO | Train Epoch: 6 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.35444 (0.39818) Boundary_loss: 0.013008 (0.012972) Loss: 0.36745 (0.41116) +2025-08-23,00:42:48 | INFO | Train Epoch: 6 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.37358 (0.39654) Boundary_loss: 0.013048 (0.012977) Loss: 0.38663 (0.40952) +2025-08-23,00:43:52 | INFO | Train Epoch: 6 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.46343 (0.40072) Boundary_loss: 0.012987 (0.012978) Loss: 0.47641 (0.41370) +2025-08-23,00:44:57 | INFO | Train Epoch: 6 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 0.30900 (0.39533) Boundary_loss: 0.012941 (0.012976) Loss: 0.32194 (0.40830) +2025-08-23,00:46:02 | INFO | Train Epoch: 6 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.36175 (0.39346) Boundary_loss: 0.012919 (0.012973) Loss: 0.37467 (0.40644) +2025-08-23,00:47:07 | INFO | Train Epoch: 6 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.37412 (0.39244) Boundary_loss: 0.012953 (0.012972) Loss: 0.38707 (0.40542) +2025-08-23,00:48:12 | INFO | Train Epoch: 6 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 0.42088 (0.39387) Boundary_loss: 0.012980 (0.012972) Loss: 0.43386 (0.40684) +2025-08-23,00:49:17 | INFO | Train Epoch: 6 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.33139 (0.39089) Boundary_loss: 0.012787 (0.012963) Loss: 0.34417 (0.40385) +2025-08-23,00:50:22 | INFO | Train Epoch: 6 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.35195 (0.38912) Boundary_loss: 0.012936 (0.012962) Loss: 0.36488 (0.40208) +2025-08-23,00:51:27 | INFO | Train Epoch: 6 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 18.812 Boundary Ratio: 0.096 Contrastive_loss: 0.38598 (0.38898) Boundary_loss: 0.012992 (0.012963) Loss: 0.39897 (0.40195) +2025-08-23,00:52:32 | INFO | Train Epoch: 6 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.43690 (0.39098) Boundary_loss: 0.012956 (0.012963) Loss: 0.44985 (0.40394) +2025-08-23,00:53:37 | INFO | Train Epoch: 6 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.37539 (0.39036) Boundary_loss: 0.012930 (0.012962) Loss: 0.38832 (0.40332) +2025-08-23,00:54:42 | INFO | Train Epoch: 6 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.41029 (0.39112) Boundary_loss: 0.013075 (0.012966) Loss: 0.42337 (0.40409) +2025-08-23,00:55:47 | INFO | Train Epoch: 6 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.36612 (0.39020) Boundary_loss: 0.012946 (0.012965) Loss: 0.37907 (0.40316) +2025-08-23,00:56:52 | INFO | Train Epoch: 6 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.898 Boundary Ratio: 0.102 Contrastive_loss: 0.34811 (0.38869) Boundary_loss: 0.013000 (0.012967) Loss: 0.36111 (0.40166) +2025-08-23,00:57:56 | INFO | Train Epoch: 6 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.37904 (0.38836) Boundary_loss: 0.012981 (0.012967) Loss: 0.39202 (0.40133) +2025-08-23,00:59:01 | INFO | Train Epoch: 6 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.43087 (0.38978) Boundary_loss: 0.012961 (0.012967) Loss: 0.44383 (0.40275) +2025-08-23,01:00:06 | INFO | Train Epoch: 6 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.40769 (0.39036) Boundary_loss: 0.013022 (0.012969) Loss: 0.42071 (0.40333) +2025-08-23,01:01:11 | INFO | Train Epoch: 6 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.30629 (0.38773) Boundary_loss: 0.012969 (0.012969) Loss: 0.31926 (0.40070) +2025-08-23,01:02:16 | INFO | Train Epoch: 6 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.34354 (0.38639) Boundary_loss: 0.013016 (0.012970) Loss: 0.35656 (0.39936) +2025-08-23,01:03:21 | INFO | Train Epoch: 6 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.36170 (0.38566) Boundary_loss: 0.012992 (0.012971) Loss: 0.37469 (0.39863) +2025-08-23,01:04:26 | INFO | Train Epoch: 6 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.31549 (0.38366) Boundary_loss: 0.012862 (0.012968) Loss: 0.32835 (0.39663) +2025-08-23,01:05:31 | INFO | Train Epoch: 6 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.38590 (0.38372) Boundary_loss: 0.012952 (0.012967) Loss: 0.39885 (0.39669) +2025-08-23,01:06:36 | INFO | Train Epoch: 6 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.40771 (0.38437) Boundary_loss: 0.012958 (0.012967) Loss: 0.42067 (0.39734) +2025-08-23,01:07:41 | INFO | Train Epoch: 6 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.40309 (0.38486) Boundary_loss: 0.012958 (0.012967) Loss: 0.41605 (0.39783) +2025-08-23,01:08:46 | INFO | Train Epoch: 6 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.38374 (0.38483) Boundary_loss: 0.012975 (0.012967) Loss: 0.39672 (0.39780) +2025-08-23,01:09:51 | INFO | Train Epoch: 6 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.38193 (0.38476) Boundary_loss: 0.012908 (0.012965) Loss: 0.39484 (0.39773) +2025-08-23,01:10:56 | INFO | Train Epoch: 6 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.43953 (0.38610) Boundary_loss: 0.012950 (0.012965) Loss: 0.45248 (0.39906) +2025-08-23,01:12:00 | INFO | Train Epoch: 6 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.37133 (0.38575) Boundary_loss: 0.012940 (0.012964) Loss: 0.38426 (0.39871) +2025-08-23,01:13:05 | INFO | Train Epoch: 6 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.36249 (0.38520) Boundary_loss: 0.012973 (0.012965) Loss: 0.37546 (0.39817) +2025-08-23,01:14:10 | INFO | Train Epoch: 6 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.39007 (0.38531) Boundary_loss: 0.013008 (0.012966) Loss: 0.40307 (0.39828) +2025-08-23,01:15:15 | INFO | Train Epoch: 6 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.43301 (0.38637) Boundary_loss: 0.013019 (0.012967) Loss: 0.44603 (0.39934) +2025-08-23,01:16:20 | INFO | Train Epoch: 6 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.42313 (0.38717) Boundary_loss: 0.012973 (0.012967) Loss: 0.43611 (0.40014) +2025-08-23,01:17:25 | INFO | Train Epoch: 6 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.44026 (0.38830) Boundary_loss: 0.012953 (0.012967) Loss: 0.45321 (0.40127) +2025-08-23,01:18:30 | INFO | Train Epoch: 6 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.37511 (0.38803) Boundary_loss: 0.012975 (0.012967) Loss: 0.38809 (0.40100) +2025-08-23,01:19:35 | INFO | Train Epoch: 6 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.38597 (0.38799) Boundary_loss: 0.012909 (0.012966) Loss: 0.39887 (0.40095) +2025-08-23,01:20:40 | INFO | Train Epoch: 6 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.35493 (0.38733) Boundary_loss: 0.012928 (0.012965) Loss: 0.36786 (0.40029) +2025-08-23,01:21:45 | INFO | Train Epoch: 6 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.47038 (0.38895) Boundary_loss: 0.013066 (0.012967) Loss: 0.48345 (0.40192) +2025-08-23,01:22:50 | INFO | Train Epoch: 6 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.39301 (0.38903) Boundary_loss: 0.012954 (0.012967) Loss: 0.40597 (0.40200) +2025-08-23,01:23:55 | INFO | Train Epoch: 6 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.31115 (0.38756) Boundary_loss: 0.012993 (0.012967) Loss: 0.32414 (0.40053) +2025-08-23,01:25:00 | INFO | Train Epoch: 6 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 0.37958 (0.38741) Boundary_loss: 0.012935 (0.012967) Loss: 0.39251 (0.40038) +2025-08-23,01:26:05 | INFO | Train Epoch: 6 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.31596 (0.38612) Boundary_loss: 0.012932 (0.012966) Loss: 0.32889 (0.39908) +2025-08-23,01:27:10 | INFO | Train Epoch: 6 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.30566 (0.38468) Boundary_loss: 0.013024 (0.012967) Loss: 0.31868 (0.39765) +2025-08-23,01:28:15 | INFO | Train Epoch: 6 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.37679 (0.38454) Boundary_loss: 0.012995 (0.012967) Loss: 0.38979 (0.39751) +2025-08-23,01:29:20 | INFO | Train Epoch: 6 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.38065 (0.38447) Boundary_loss: 0.012966 (0.012967) Loss: 0.39361 (0.39744) +2025-08-23,01:30:25 | INFO | Train Epoch: 6 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.39244 (0.38461) Boundary_loss: 0.013025 (0.012968) Loss: 0.40546 (0.39758) +2025-08-23,01:31:30 | INFO | Train Epoch: 6 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.41371 (0.38509) Boundary_loss: 0.012962 (0.012968) Loss: 0.42667 (0.39806) +2025-08-23,01:32:35 | INFO | Train Epoch: 6 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.33322 (0.38424) Boundary_loss: 0.013002 (0.012969) Loss: 0.34623 (0.39721) +2025-08-23,01:33:40 | INFO | Train Epoch: 6 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.42193 (0.38485) Boundary_loss: 0.012961 (0.012969) Loss: 0.43489 (0.39782) +2025-08-23,01:34:45 | INFO | Train Epoch: 6 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.45835 (0.38602) Boundary_loss: 0.012971 (0.012969) Loss: 0.47132 (0.39899) +2025-08-23,01:35:50 | INFO | Train Epoch: 6 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.33678 (0.38525) Boundary_loss: 0.012975 (0.012969) Loss: 0.34976 (0.39822) +2025-08-23,01:36:55 | INFO | Train Epoch: 6 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.34422 (0.38462) Boundary_loss: 0.013027 (0.012970) Loss: 0.35724 (0.39759) +2025-08-23,01:38:00 | INFO | Train Epoch: 6 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.43351 (0.38536) Boundary_loss: 0.012980 (0.012970) Loss: 0.44649 (0.39833) +2025-08-23,01:39:05 | INFO | Train Epoch: 6 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.31567 (0.38432) Boundary_loss: 0.013123 (0.012972) Loss: 0.32880 (0.39729) +2025-08-23,01:40:10 | INFO | Train Epoch: 6 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.36668 (0.38406) Boundary_loss: 0.013067 (0.012974) Loss: 0.37975 (0.39703) +2025-08-23,01:41:15 | INFO | Train Epoch: 6 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.35193 (0.38359) Boundary_loss: 0.012975 (0.012974) Loss: 0.36491 (0.39657) +2025-08-23,01:42:20 | INFO | Train Epoch: 6 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.34279 (0.38301) Boundary_loss: 0.012978 (0.012974) Loss: 0.35577 (0.39598) +2025-08-23,01:43:25 | INFO | Train Epoch: 6 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.36841 (0.38280) Boundary_loss: 0.013076 (0.012975) Loss: 0.38148 (0.39578) +2025-08-23,01:44:30 | INFO | Train Epoch: 6 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.38081 (0.38278) Boundary_loss: 0.012942 (0.012975) Loss: 0.39376 (0.39575) +2025-08-23,01:45:34 | INFO | Train Epoch: 6 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.41822 (0.38326) Boundary_loss: 0.013064 (0.012976) Loss: 0.43129 (0.39624) +2025-08-23,01:46:39 | INFO | Train Epoch: 6 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 18.934 Boundary Ratio: 0.097 Contrastive_loss: 0.40529 (0.38356) Boundary_loss: 0.012932 (0.012975) Loss: 0.41822 (0.39654) +2025-08-23,01:47:44 | INFO | Train Epoch: 6 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.662 Boundary Ratio: 0.100 Contrastive_loss: 0.36135 (0.38326) Boundary_loss: 0.013008 (0.012976) Loss: 0.37436 (0.39624) +2025-08-23,01:48:49 | INFO | Train Epoch: 6 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.34193 (0.38272) Boundary_loss: 0.012998 (0.012976) Loss: 0.35492 (0.39570) +2025-08-23,01:49:54 | INFO | Train Epoch: 6 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 0.40338 (0.38299) Boundary_loss: 0.012942 (0.012976) Loss: 0.41633 (0.39596) +2025-08-23,01:50:59 | INFO | Train Epoch: 6 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.44160 (0.38374) Boundary_loss: 0.012991 (0.012976) Loss: 0.45459 (0.39672) +2025-08-23,01:52:04 | INFO | Train Epoch: 6 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.38503 (0.38376) Boundary_loss: 0.013057 (0.012977) Loss: 0.39809 (0.39673) +2025-08-23,01:53:09 | INFO | Train Epoch: 6 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 0.46401 (0.38476) Boundary_loss: 0.013029 (0.012977) Loss: 0.47704 (0.39774) +2025-08-23,01:54:14 | INFO | Train Epoch: 6 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.39284 (0.38486) Boundary_loss: 0.013053 (0.012978) Loss: 0.40590 (0.39784) +2025-08-23,01:55:19 | INFO | Train Epoch: 6 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.40585 (0.38511) Boundary_loss: 0.013093 (0.012980) Loss: 0.41895 (0.39809) +2025-08-23,01:56:24 | INFO | Train Epoch: 6 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.37970 (0.38505) Boundary_loss: 0.013028 (0.012980) Loss: 0.39272 (0.39803) +2025-08-23,01:57:29 | INFO | Train Epoch: 6 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.31931 (0.38427) Boundary_loss: 0.012987 (0.012980) Loss: 0.33230 (0.39725) +2025-08-23,01:58:34 | INFO | Train Epoch: 6 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.39249 (0.38436) Boundary_loss: 0.013062 (0.012981) Loss: 0.40555 (0.39735) +2025-08-23,01:59:39 | INFO | Train Epoch: 6 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.31517 (0.38356) Boundary_loss: 0.012974 (0.012981) Loss: 0.32814 (0.39654) +2025-08-23,02:00:44 | INFO | Train Epoch: 6 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 0.42717 (0.38406) Boundary_loss: 0.013008 (0.012982) Loss: 0.44018 (0.39704) +2025-08-23,02:01:50 | INFO | Train Epoch: 6 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.33703 (0.38353) Boundary_loss: 0.012908 (0.012981) Loss: 0.34994 (0.39651) +2025-08-23,02:02:55 | INFO | Train Epoch: 6 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.42949 (0.38404) Boundary_loss: 0.013033 (0.012981) Loss: 0.44252 (0.39702) +2025-08-23,02:04:00 | INFO | Train Epoch: 6 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.34548 (0.38361) Boundary_loss: 0.012905 (0.012981) Loss: 0.35839 (0.39659) +2025-08-23,02:05:05 | INFO | Train Epoch: 6 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.42280 (0.38404) Boundary_loss: 0.013132 (0.012982) Loss: 0.43593 (0.39703) +2025-08-23,02:06:10 | INFO | Train Epoch: 6 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.32830 (0.38344) Boundary_loss: 0.012974 (0.012982) Loss: 0.34127 (0.39642) +2025-08-23,02:07:15 | INFO | Train Epoch: 6 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.33547 (0.38292) Boundary_loss: 0.012873 (0.012981) Loss: 0.34834 (0.39590) +2025-08-23,02:08:20 | INFO | Train Epoch: 6 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.46514 (0.38380) Boundary_loss: 0.012953 (0.012981) Loss: 0.47809 (0.39678) +2025-08-23,02:09:25 | INFO | Train Epoch: 6 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.41354 (0.38411) Boundary_loss: 0.012937 (0.012980) Loss: 0.42648 (0.39709) +2025-08-23,02:10:30 | INFO | Train Epoch: 6 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.38103 (0.38408) Boundary_loss: 0.013034 (0.012981) Loss: 0.39406 (0.39706) +2025-08-23,02:11:35 | INFO | Train Epoch: 6 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.38418 (0.38408) Boundary_loss: 0.013012 (0.012981) Loss: 0.39719 (0.39706) +2025-08-23,02:12:40 | INFO | Train Epoch: 6 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.46139 (0.38487) Boundary_loss: 0.013057 (0.012982) Loss: 0.47444 (0.39785) +2025-08-23,02:13:46 | INFO | Train Epoch: 6 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 0.39524 (0.38497) Boundary_loss: 0.013080 (0.012983) Loss: 0.40832 (0.39796) +2025-08-23,02:14:51 | INFO | Train Epoch: 6 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.42923 (0.38542) Boundary_loss: 0.013044 (0.012983) Loss: 0.44227 (0.39840) +2025-08-23,02:15:56 | INFO | Train Epoch: 6 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.39097 (0.38547) Boundary_loss: 0.013002 (0.012984) Loss: 0.40397 (0.39845) +2025-08-23,02:17:01 | INFO | Train Epoch: 6 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.44001 (0.38601) Boundary_loss: 0.012963 (0.012983) Loss: 0.45298 (0.39899) +2025-08-23,02:18:06 | INFO | Train Epoch: 6 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.35128 (0.38567) Boundary_loss: 0.012929 (0.012983) Loss: 0.36421 (0.39865) +2025-08-23,02:19:11 | INFO | Train Epoch: 6 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.36970 (0.38551) Boundary_loss: 0.012982 (0.012983) Loss: 0.38268 (0.39850) +2025-08-23,02:20:16 | INFO | Train Epoch: 6 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.39130 (0.38557) Boundary_loss: 0.013034 (0.012983) Loss: 0.40434 (0.39855) +2025-08-23,02:21:21 | INFO | Train Epoch: 6 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.38583 (0.38557) Boundary_loss: 0.013063 (0.012984) Loss: 0.39890 (0.39856) +2025-08-23,02:22:27 | INFO | Train Epoch: 6 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.36886 (0.38542) Boundary_loss: 0.012959 (0.012984) Loss: 0.38182 (0.39840) +2025-08-23,02:23:32 | INFO | Train Epoch: 6 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.35613 (0.38514) Boundary_loss: 0.012929 (0.012983) Loss: 0.36905 (0.39813) +2025-08-23,02:24:37 | INFO | Train Epoch: 6 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.35133 (0.38483) Boundary_loss: 0.013040 (0.012984) Loss: 0.36437 (0.39782) +2025-08-23,02:25:42 | INFO | Train Epoch: 6 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.32146 (0.38426) Boundary_loss: 0.012892 (0.012983) Loss: 0.33436 (0.39724) +2025-08-23,02:26:47 | INFO | Train Epoch: 6 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.34924 (0.38394) Boundary_loss: 0.012930 (0.012983) Loss: 0.36217 (0.39693) +2025-08-23,02:27:52 | INFO | Train Epoch: 6 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.37492 (0.38386) Boundary_loss: 0.012897 (0.012982) Loss: 0.38781 (0.39684) +2025-08-23,02:28:57 | INFO | Train Epoch: 6 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.686 Boundary Ratio: 0.100 Contrastive_loss: 0.36356 (0.38368) Boundary_loss: 0.013038 (0.012982) Loss: 0.37660 (0.39667) +2025-08-23,02:30:02 | INFO | Train Epoch: 6 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.41257 (0.38394) Boundary_loss: 0.013033 (0.012983) Loss: 0.42561 (0.39692) +2025-08-23,02:31:07 | INFO | Train Epoch: 6 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.31881 (0.38337) Boundary_loss: 0.013088 (0.012984) Loss: 0.33190 (0.39635) +2025-08-23,02:32:12 | INFO | Train Epoch: 6 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.39364 (0.38346) Boundary_loss: 0.012965 (0.012984) Loss: 0.40661 (0.39644) +2025-08-23,02:33:17 | INFO | Train Epoch: 6 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.40091 (0.38361) Boundary_loss: 0.012926 (0.012983) Loss: 0.41384 (0.39659) +2025-08-23,02:34:22 | INFO | Train Epoch: 6 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.45751 (0.38423) Boundary_loss: 0.012944 (0.012983) Loss: 0.47045 (0.39722) +2025-08-23,02:35:28 | INFO | Train Epoch: 6 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.36590 (0.38408) Boundary_loss: 0.013022 (0.012983) Loss: 0.37892 (0.39706) +2025-08-23,02:36:33 | INFO | Train Epoch: 6 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.31970 (0.38354) Boundary_loss: 0.012989 (0.012983) Loss: 0.33269 (0.39653) +2025-08-23,02:37:38 | INFO | Train Epoch: 6 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.611 Boundary Ratio: 0.100 Contrastive_loss: 0.34846 (0.38325) Boundary_loss: 0.012974 (0.012983) Loss: 0.36144 (0.39624) +2025-08-23,02:38:43 | INFO | Train Epoch: 6 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.36088 (0.38307) Boundary_loss: 0.012988 (0.012983) Loss: 0.37387 (0.39605) +2025-08-23,02:39:48 | INFO | Train Epoch: 6 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.49417 (0.38397) Boundary_loss: 0.013005 (0.012983) Loss: 0.50717 (0.39696) +2025-08-23,02:40:53 | INFO | Train Epoch: 6 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.42445 (0.38430) Boundary_loss: 0.012984 (0.012983) Loss: 0.43744 (0.39728) +2025-08-23,02:41:58 | INFO | Train Epoch: 6 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.39001 (0.38435) Boundary_loss: 0.013093 (0.012984) Loss: 0.40311 (0.39733) +2025-08-23,02:43:03 | INFO | Train Epoch: 6 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.31768 (0.38382) Boundary_loss: 0.012950 (0.012984) Loss: 0.33063 (0.39680) +2025-08-23,02:44:08 | INFO | Train Epoch: 6 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.43195 (0.38420) Boundary_loss: 0.012995 (0.012984) Loss: 0.44495 (0.39718) +2025-08-23,02:45:13 | INFO | Train Epoch: 6 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.38297 (0.38419) Boundary_loss: 0.012952 (0.012984) Loss: 0.39592 (0.39717) +2025-08-23,02:46:19 | INFO | Train Epoch: 6 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.42131 (0.38447) Boundary_loss: 0.012892 (0.012983) Loss: 0.43420 (0.39746) +2025-08-23,02:47:24 | INFO | Train Epoch: 6 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.33039 (0.38406) Boundary_loss: 0.013005 (0.012983) Loss: 0.34339 (0.39704) +2025-08-23,02:48:29 | INFO | Train Epoch: 6 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.34382 (0.38375) Boundary_loss: 0.012993 (0.012983) Loss: 0.35681 (0.39673) +2025-08-23,02:49:34 | INFO | Train Epoch: 6 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 18.982 Boundary Ratio: 0.097 Contrastive_loss: 0.42204 (0.38404) Boundary_loss: 0.013006 (0.012983) Loss: 0.43505 (0.39702) +2025-08-23,02:50:39 | INFO | Train Epoch: 6 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.617 Boundary Ratio: 0.100 Contrastive_loss: 0.38447 (0.38404) Boundary_loss: 0.012966 (0.012983) Loss: 0.39744 (0.39703) +2025-08-23,02:51:44 | INFO | Train Epoch: 6 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.41736 (0.38429) Boundary_loss: 0.012933 (0.012983) Loss: 0.43030 (0.39728) +2025-08-23,02:52:49 | INFO | Train Epoch: 6 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.43208 (0.38465) Boundary_loss: 0.012959 (0.012983) Loss: 0.44504 (0.39763) +2025-08-23,02:53:54 | INFO | Train Epoch: 6 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 18.926 Boundary Ratio: 0.097 Contrastive_loss: 0.44768 (0.38511) Boundary_loss: 0.012917 (0.012982) Loss: 0.46059 (0.39809) +2025-08-23,02:55:00 | INFO | Train Epoch: 6 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.38277 (0.38509) Boundary_loss: 0.013021 (0.012983) Loss: 0.39579 (0.39808) +2025-08-23,02:56:05 | INFO | Train Epoch: 6 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.36889 (0.38498) Boundary_loss: 0.012945 (0.012982) Loss: 0.38184 (0.39796) +2025-08-23,02:57:10 | INFO | Train Epoch: 6 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.41363 (0.38518) Boundary_loss: 0.012946 (0.012982) Loss: 0.42657 (0.39816) +2025-08-23,02:58:15 | INFO | Train Epoch: 6 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.46569 (0.38576) Boundary_loss: 0.012914 (0.012981) Loss: 0.47861 (0.39874) +2025-08-23,02:59:20 | INFO | Train Epoch: 6 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.41155 (0.38594) Boundary_loss: 0.013011 (0.012982) Loss: 0.42456 (0.39892) +2025-08-23,03:00:25 | INFO | Train Epoch: 6 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.41363 (0.38613) Boundary_loss: 0.012970 (0.012982) Loss: 0.42660 (0.39912) +2025-08-23,03:01:30 | INFO | Train Epoch: 6 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.29740 (0.38551) Boundary_loss: 0.012873 (0.012981) Loss: 0.31027 (0.39849) +2025-08-23,03:02:35 | INFO | Train Epoch: 6 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.38421 (0.38550) Boundary_loss: 0.013026 (0.012981) Loss: 0.39723 (0.39849) +2025-08-23,03:03:40 | INFO | Train Epoch: 6 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.38441 (0.38550) Boundary_loss: 0.013003 (0.012981) Loss: 0.39742 (0.39848) +2025-08-23,03:04:46 | INFO | Train Epoch: 6 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 0.36467 (0.38535) Boundary_loss: 0.013039 (0.012982) Loss: 0.37771 (0.39834) +2025-08-23,03:05:51 | INFO | Train Epoch: 6 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.33885 (0.38504) Boundary_loss: 0.012928 (0.012981) Loss: 0.35178 (0.39802) +2025-08-23,03:06:56 | INFO | Train Epoch: 6 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.31430 (0.38456) Boundary_loss: 0.012901 (0.012981) Loss: 0.32720 (0.39754) +2025-08-23,03:08:01 | INFO | Train Epoch: 6 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 18.924 Boundary Ratio: 0.097 Contrastive_loss: 0.33816 (0.38425) Boundary_loss: 0.012925 (0.012980) Loss: 0.35109 (0.39723) +2025-08-23,03:09:06 | INFO | Train Epoch: 6 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.41033 (0.38442) Boundary_loss: 0.012957 (0.012980) Loss: 0.42329 (0.39740) +2025-08-23,03:10:11 | INFO | Train Epoch: 6 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.35166 (0.38421) Boundary_loss: 0.013014 (0.012981) Loss: 0.36468 (0.39719) +2025-08-23,03:11:16 | INFO | Train Epoch: 6 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.39822 (0.38430) Boundary_loss: 0.013074 (0.012981) Loss: 0.41130 (0.39728) +2025-08-23,03:12:21 | INFO | Train Epoch: 6 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.31268 (0.38383) Boundary_loss: 0.012957 (0.012981) Loss: 0.32564 (0.39681) +2025-08-23,03:13:26 | INFO | Train Epoch: 6 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.38232 (0.38382) Boundary_loss: 0.012911 (0.012981) Loss: 0.39523 (0.39680) +2025-08-23,03:14:32 | INFO | Train Epoch: 6 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 0.26847 (0.38308) Boundary_loss: 0.013048 (0.012981) Loss: 0.28152 (0.39606) +2025-08-23,03:15:37 | INFO | Train Epoch: 6 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.37420 (0.38302) Boundary_loss: 0.012941 (0.012981) Loss: 0.38714 (0.39600) +2025-08-23,03:16:42 | INFO | Train Epoch: 6 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.645 Boundary Ratio: 0.100 Contrastive_loss: 0.39301 (0.38308) Boundary_loss: 0.012934 (0.012980) Loss: 0.40595 (0.39606) +2025-08-23,03:17:47 | INFO | Train Epoch: 6 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.35067 (0.38288) Boundary_loss: 0.012994 (0.012980) Loss: 0.36366 (0.39586) +2025-08-23,03:18:52 | INFO | Train Epoch: 6 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.37181 (0.38281) Boundary_loss: 0.012887 (0.012980) Loss: 0.38469 (0.39579) +2025-08-23,03:19:57 | INFO | Train Epoch: 6 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.39186 (0.38286) Boundary_loss: 0.013093 (0.012981) Loss: 0.40495 (0.39585) +2025-08-23,03:21:02 | INFO | Train Epoch: 6 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.36220 (0.38274) Boundary_loss: 0.012978 (0.012981) Loss: 0.37517 (0.39572) +2025-08-23,03:22:07 | INFO | Train Epoch: 6 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.39168 (0.38279) Boundary_loss: 0.012950 (0.012980) Loss: 0.40463 (0.39577) +2025-08-23,03:23:12 | INFO | Train Epoch: 6 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.36378 (0.38267) Boundary_loss: 0.012966 (0.012980) Loss: 0.37674 (0.39566) +2025-08-23,03:24:17 | INFO | Train Epoch: 6 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.36863 (0.38259) Boundary_loss: 0.012925 (0.012980) Loss: 0.38155 (0.39557) +2025-08-23,03:25:23 | INFO | Train Epoch: 6 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.38689 (0.38262) Boundary_loss: 0.012904 (0.012979) Loss: 0.39979 (0.39559) +2025-08-23,03:26:28 | INFO | Train Epoch: 6 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.48957 (0.38326) Boundary_loss: 0.012941 (0.012979) Loss: 0.50251 (0.39624) +2025-08-23,03:27:33 | INFO | Train Epoch: 6 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.34527 (0.38303) Boundary_loss: 0.012946 (0.012979) Loss: 0.35821 (0.39601) +2025-08-23,03:28:38 | INFO | Train Epoch: 6 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.43579 (0.38335) Boundary_loss: 0.013129 (0.012980) Loss: 0.44892 (0.39633) +2025-08-23,03:29:43 | INFO | Train Epoch: 6 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.39255 (0.38340) Boundary_loss: 0.012991 (0.012980) Loss: 0.40554 (0.39638) +2025-08-23,03:30:48 | INFO | Train Epoch: 6 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.35295 (0.38322) Boundary_loss: 0.012923 (0.012980) Loss: 0.36587 (0.39620) +2025-08-23,03:31:53 | INFO | Train Epoch: 6 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.27640 (0.38260) Boundary_loss: 0.013036 (0.012980) Loss: 0.28943 (0.39558) +2025-08-23,03:32:58 | INFO | Train Epoch: 6 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.34718 (0.38239) Boundary_loss: 0.013047 (0.012980) Loss: 0.36023 (0.39537) +2025-08-23,03:34:04 | INFO | Train Epoch: 6 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.34389 (0.38217) Boundary_loss: 0.013009 (0.012981) Loss: 0.35690 (0.39515) +2025-08-23,03:35:09 | INFO | Train Epoch: 6 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.594 Boundary Ratio: 0.100 Contrastive_loss: 0.35656 (0.38202) Boundary_loss: 0.012912 (0.012980) Loss: 0.36947 (0.39500) +2025-08-23,03:36:14 | INFO | Train Epoch: 6 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.34286 (0.38180) Boundary_loss: 0.012910 (0.012980) Loss: 0.35577 (0.39478) +2025-08-23,03:37:19 | INFO | Train Epoch: 6 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.41626 (0.38199) Boundary_loss: 0.012957 (0.012980) Loss: 0.42922 (0.39497) +2025-08-23,03:38:24 | INFO | Train Epoch: 6 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 0.35091 (0.38182) Boundary_loss: 0.013006 (0.012980) Loss: 0.36392 (0.39480) +2025-08-23,03:39:29 | INFO | Train Epoch: 6 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.31464 (0.38144) Boundary_loss: 0.012811 (0.012979) Loss: 0.32745 (0.39442) +2025-08-23,03:40:34 | INFO | Train Epoch: 6 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.31889 (0.38109) Boundary_loss: 0.013060 (0.012979) Loss: 0.33195 (0.39407) +2025-08-23,03:41:39 | INFO | Train Epoch: 6 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.36544 (0.38100) Boundary_loss: 0.012937 (0.012979) Loss: 0.37838 (0.39398) +2025-08-23,03:42:44 | INFO | Train Epoch: 6 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.711 Boundary Ratio: 0.101 Contrastive_loss: 0.25461 (0.38031) Boundary_loss: 0.013125 (0.012980) Loss: 0.26774 (0.39329) +2025-08-23,03:43:50 | INFO | Train Epoch: 6 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.44344 (0.38065) Boundary_loss: 0.013058 (0.012980) Loss: 0.45649 (0.39363) +2025-08-23,03:44:55 | INFO | Train Epoch: 6 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.35428 (0.38051) Boundary_loss: 0.012983 (0.012980) Loss: 0.36727 (0.39349) +2025-08-23,03:46:00 | INFO | Train Epoch: 6 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.36701 (0.38043) Boundary_loss: 0.012908 (0.012980) Loss: 0.37992 (0.39341) +2025-08-23,03:47:05 | INFO | Train Epoch: 6 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.42686 (0.38069) Boundary_loss: 0.013065 (0.012980) Loss: 0.43993 (0.39367) +2025-08-23,03:48:10 | INFO | Train Epoch: 6 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.36670 (0.38061) Boundary_loss: 0.012948 (0.012980) Loss: 0.37965 (0.39359) +2025-08-23,03:49:15 | INFO | Train Epoch: 6 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.35568 (0.38048) Boundary_loss: 0.013005 (0.012980) Loss: 0.36868 (0.39346) +2025-08-23,03:50:20 | INFO | Train Epoch: 6 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.40601 (0.38061) Boundary_loss: 0.012924 (0.012980) Loss: 0.41893 (0.39359) +2025-08-23,03:51:25 | INFO | Train Epoch: 6 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.32468 (0.38032) Boundary_loss: 0.012837 (0.012979) Loss: 0.33752 (0.39330) +2025-08-23,03:52:30 | INFO | Train Epoch: 6 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.43493 (0.38060) Boundary_loss: 0.012975 (0.012979) Loss: 0.44790 (0.39358) +2025-08-23,03:53:36 | INFO | Train Epoch: 6 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.40949 (0.38076) Boundary_loss: 0.012961 (0.012979) Loss: 0.42245 (0.39373) +2025-08-23,03:54:41 | INFO | Train Epoch: 6 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.36599 (0.38068) Boundary_loss: 0.012875 (0.012979) Loss: 0.37887 (0.39366) +2025-08-23,03:55:46 | INFO | Train Epoch: 6 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.33762 (0.38046) Boundary_loss: 0.013011 (0.012979) Loss: 0.35063 (0.39343) +2025-08-23,03:56:51 | INFO | Train Epoch: 6 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.45471 (0.38084) Boundary_loss: 0.012924 (0.012978) Loss: 0.46763 (0.39382) +2025-08-23,03:57:56 | INFO | Train Epoch: 6 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.38881 (0.38088) Boundary_loss: 0.012916 (0.012978) Loss: 0.40172 (0.39386) +2025-08-23,03:59:01 | INFO | Train Epoch: 6 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.31871 (0.38056) Boundary_loss: 0.012942 (0.012978) Loss: 0.33166 (0.39354) +2025-08-23,04:00:06 | INFO | Train Epoch: 6 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.39054 (0.38061) Boundary_loss: 0.013059 (0.012978) Loss: 0.40360 (0.39359) +2025-08-23,04:01:11 | INFO | Train Epoch: 6 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.28552 (0.38013) Boundary_loss: 0.012931 (0.012978) Loss: 0.29845 (0.39311) +2025-08-23,04:02:16 | INFO | Train Epoch: 6 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.42395 (0.38035) Boundary_loss: 0.013028 (0.012978) Loss: 0.43697 (0.39333) +2025-08-23,04:03:22 | INFO | Train Epoch: 6 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.36399 (0.38027) Boundary_loss: 0.013004 (0.012979) Loss: 0.37699 (0.39325) +2025-08-23,04:04:27 | INFO | Train Epoch: 6 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.32527 (0.38000) Boundary_loss: 0.013011 (0.012979) Loss: 0.33828 (0.39298) +2025-08-23,04:05:32 | INFO | Train Epoch: 6 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.37590 (0.37998) Boundary_loss: 0.013062 (0.012979) Loss: 0.38896 (0.39296) +2025-08-23,04:06:37 | INFO | Train Epoch: 6 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.32504 (0.37971) Boundary_loss: 0.012975 (0.012979) Loss: 0.33802 (0.39269) +2025-08-23,04:07:42 | INFO | Train Epoch: 6 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.33054 (0.37947) Boundary_loss: 0.012904 (0.012979) Loss: 0.34344 (0.39244) +2025-08-23,04:08:47 | INFO | Train Epoch: 6 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.30826 (0.37912) Boundary_loss: 0.012911 (0.012978) Loss: 0.32117 (0.39210) +2025-08-23,04:09:52 | INFO | Train Epoch: 6 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.34230 (0.37894) Boundary_loss: 0.013102 (0.012979) Loss: 0.35540 (0.39192) +2025-08-23,04:10:57 | INFO | Train Epoch: 6 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.43751 (0.37922) Boundary_loss: 0.012929 (0.012979) Loss: 0.45044 (0.39220) +2025-08-23,04:12:03 | INFO | Train Epoch: 6 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.32621 (0.37897) Boundary_loss: 0.012935 (0.012979) Loss: 0.33914 (0.39195) +2025-08-23,04:13:08 | INFO | Train Epoch: 6 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.45779 (0.37934) Boundary_loss: 0.013078 (0.012979) Loss: 0.47087 (0.39232) +2025-08-23,04:14:13 | INFO | Train Epoch: 6 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.37003 (0.37930) Boundary_loss: 0.012993 (0.012979) Loss: 0.38302 (0.39228) +2025-08-23,04:15:18 | INFO | Train Epoch: 6 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.34164 (0.37912) Boundary_loss: 0.013062 (0.012979) Loss: 0.35470 (0.39210) +2025-08-23,04:16:23 | INFO | Train Epoch: 6 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.33481 (0.37891) Boundary_loss: 0.013008 (0.012980) Loss: 0.34782 (0.39189) +2025-08-23,04:17:28 | INFO | Train Epoch: 6 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.39747 (0.37900) Boundary_loss: 0.012872 (0.012979) Loss: 0.41035 (0.39198) +2025-08-23,04:18:33 | INFO | Train Epoch: 6 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.34458 (0.37884) Boundary_loss: 0.012950 (0.012979) Loss: 0.35753 (0.39182) +2025-08-23,04:19:38 | INFO | Train Epoch: 6 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.32375 (0.37858) Boundary_loss: 0.012989 (0.012979) Loss: 0.33674 (0.39156) +2025-08-23,04:20:43 | INFO | Train Epoch: 6 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.38845 (0.37863) Boundary_loss: 0.012996 (0.012979) Loss: 0.40144 (0.39161) +2025-08-23,04:21:49 | INFO | Train Epoch: 6 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.41442 (0.37879) Boundary_loss: 0.012953 (0.012979) Loss: 0.42738 (0.39177) +2025-08-23,04:22:54 | INFO | Train Epoch: 6 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.38556 (0.37882) Boundary_loss: 0.012889 (0.012979) Loss: 0.39845 (0.39180) +2025-08-23,04:23:59 | INFO | Train Epoch: 6 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 0.30060 (0.37847) Boundary_loss: 0.013003 (0.012979) Loss: 0.31361 (0.39145) +2025-08-23,04:25:04 | INFO | Train Epoch: 6 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.35724 (0.37837) Boundary_loss: 0.013003 (0.012979) Loss: 0.37024 (0.39135) +2025-08-23,04:26:09 | INFO | Train Epoch: 6 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.45423 (0.37871) Boundary_loss: 0.012950 (0.012979) Loss: 0.46718 (0.39169) +2025-08-23,04:27:14 | INFO | Train Epoch: 6 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.37093 (0.37868) Boundary_loss: 0.013012 (0.012979) Loss: 0.38394 (0.39166) +2025-08-23,04:28:19 | INFO | Train Epoch: 6 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.34196 (0.37851) Boundary_loss: 0.012881 (0.012978) Loss: 0.35484 (0.39149) +2025-08-23,04:29:24 | INFO | Train Epoch: 6 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.36092 (0.37844) Boundary_loss: 0.013037 (0.012979) Loss: 0.37396 (0.39141) +2025-08-23,04:30:29 | INFO | Train Epoch: 6 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.598 Boundary Ratio: 0.100 Contrastive_loss: 0.36050 (0.37836) Boundary_loss: 0.013077 (0.012979) Loss: 0.37357 (0.39133) +2025-08-23,04:31:34 | INFO | Train Epoch: 6 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.40229 (0.37846) Boundary_loss: 0.012854 (0.012979) Loss: 0.41515 (0.39144) +2025-08-23,04:32:39 | INFO | Train Epoch: 6 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.33443 (0.37827) Boundary_loss: 0.012925 (0.012978) Loss: 0.34736 (0.39125) +2025-08-23,04:33:44 | INFO | Train Epoch: 6 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.40214 (0.37837) Boundary_loss: 0.012970 (0.012978) Loss: 0.41511 (0.39135) +2025-08-23,04:34:49 | INFO | Train Epoch: 6 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.38542 (0.37840) Boundary_loss: 0.012930 (0.012978) Loss: 0.39835 (0.39138) +2025-08-23,04:35:54 | INFO | Train Epoch: 6 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.37391 (0.37838) Boundary_loss: 0.012931 (0.012978) Loss: 0.38684 (0.39136) +2025-08-23,04:37:00 | INFO | Train Epoch: 6 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.35543 (0.37828) Boundary_loss: 0.012838 (0.012977) Loss: 0.36827 (0.39126) +2025-08-23,04:38:05 | INFO | Train Epoch: 6 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.35516 (0.37818) Boundary_loss: 0.012989 (0.012977) Loss: 0.36815 (0.39116) +2025-08-23,04:39:10 | INFO | Train Epoch: 6 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 0.38762 (0.37823) Boundary_loss: 0.012950 (0.012977) Loss: 0.40057 (0.39120) +2025-08-23,04:40:15 | INFO | Train Epoch: 6 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.48328 (0.37867) Boundary_loss: 0.012973 (0.012977) Loss: 0.49626 (0.39165) +2025-08-23,04:41:20 | INFO | Train Epoch: 6 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.36578 (0.37862) Boundary_loss: 0.012946 (0.012977) Loss: 0.37872 (0.39160) +2025-08-23,04:42:25 | INFO | Train Epoch: 6 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.32282 (0.37838) Boundary_loss: 0.012977 (0.012977) Loss: 0.33580 (0.39136) +2025-08-23,04:43:30 | INFO | Train Epoch: 6 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.36143 (0.37831) Boundary_loss: 0.012952 (0.012977) Loss: 0.37438 (0.39129) +2025-08-23,04:44:35 | INFO | Train Epoch: 6 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.31235 (0.37803) Boundary_loss: 0.012877 (0.012976) Loss: 0.32523 (0.39101) +2025-08-23,04:45:40 | INFO | Train Epoch: 6 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.37334 (0.37801) Boundary_loss: 0.012971 (0.012976) Loss: 0.38632 (0.39099) +2025-08-23,04:46:46 | INFO | Train Epoch: 6 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.39205 (0.37807) Boundary_loss: 0.012887 (0.012976) Loss: 0.40494 (0.39105) +2025-08-23,04:47:51 | INFO | Train Epoch: 6 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.42919 (0.37829) Boundary_loss: 0.013046 (0.012976) Loss: 0.44224 (0.39126) +2025-08-23,04:48:56 | INFO | Train Epoch: 6 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.39806 (0.37837) Boundary_loss: 0.012878 (0.012976) Loss: 0.41094 (0.39134) +2025-08-23,04:50:01 | INFO | Train Epoch: 6 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.37461 (0.37835) Boundary_loss: 0.012934 (0.012976) Loss: 0.38755 (0.39133) +2025-08-23,04:51:06 | INFO | Train Epoch: 6 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.41445 (0.37850) Boundary_loss: 0.013089 (0.012976) Loss: 0.42754 (0.39148) +2025-08-23,04:52:11 | INFO | Train Epoch: 6 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.40994 (0.37863) Boundary_loss: 0.012927 (0.012976) Loss: 0.42286 (0.39160) +2025-08-23,04:53:16 | INFO | Train Epoch: 6 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.37127 (0.37860) Boundary_loss: 0.012828 (0.012975) Loss: 0.38410 (0.39157) +2025-08-23,04:54:21 | INFO | Train Epoch: 6 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.38199 (0.37861) Boundary_loss: 0.013052 (0.012976) Loss: 0.39504 (0.39159) +2025-08-23,04:55:26 | INFO | Train Epoch: 6 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.39838 (0.37869) Boundary_loss: 0.013041 (0.012976) Loss: 0.41143 (0.39167) +2025-08-23,04:56:32 | INFO | Train Epoch: 6 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.31905 (0.37845) Boundary_loss: 0.013050 (0.012976) Loss: 0.33210 (0.39143) +2025-08-23,04:57:37 | INFO | Train Epoch: 6 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.35190 (0.37835) Boundary_loss: 0.012864 (0.012976) Loss: 0.36476 (0.39132) +2025-08-23,04:58:42 | INFO | Train Epoch: 6 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.39498 (0.37841) Boundary_loss: 0.012981 (0.012976) Loss: 0.40796 (0.39139) +2025-08-23,04:59:47 | INFO | Train Epoch: 6 [12851712/26365952 (49%)] Avg Boundaries (per batch): 18.846 Boundary Ratio: 0.096 Contrastive_loss: 0.34513 (0.37828) Boundary_loss: 0.012941 (0.012976) Loss: 0.35807 (0.39126) +2025-08-23,05:00:52 | INFO | Train Epoch: 6 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.37711 (0.37828) Boundary_loss: 0.012961 (0.012976) Loss: 0.39007 (0.39125) +2025-08-23,05:01:57 | INFO | Train Epoch: 6 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.44579 (0.37854) Boundary_loss: 0.012961 (0.012976) Loss: 0.45875 (0.39152) +2025-08-23,05:03:02 | INFO | Train Epoch: 6 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.34687 (0.37842) Boundary_loss: 0.012981 (0.012976) Loss: 0.35985 (0.39139) +2025-08-23,05:04:07 | INFO | Train Epoch: 6 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.40050 (0.37850) Boundary_loss: 0.013043 (0.012976) Loss: 0.41354 (0.39148) +2025-08-23,05:05:12 | INFO | Train Epoch: 6 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.37910 (0.37851) Boundary_loss: 0.012994 (0.012976) Loss: 0.39210 (0.39148) +2025-08-23,05:06:17 | INFO | Train Epoch: 6 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.34429 (0.37837) Boundary_loss: 0.012940 (0.012976) Loss: 0.35723 (0.39135) +2025-08-23,05:07:23 | INFO | Train Epoch: 6 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.38673 (0.37841) Boundary_loss: 0.013044 (0.012976) Loss: 0.39977 (0.39138) +2025-08-23,05:08:28 | INFO | Train Epoch: 6 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.37359 (0.37839) Boundary_loss: 0.012978 (0.012976) Loss: 0.38657 (0.39136) +2025-08-23,05:09:33 | INFO | Train Epoch: 6 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.30039 (0.37809) Boundary_loss: 0.012876 (0.012976) Loss: 0.31327 (0.39106) +2025-08-23,05:10:38 | INFO | Train Epoch: 6 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.37156 (0.37806) Boundary_loss: 0.012968 (0.012976) Loss: 0.38453 (0.39104) +2025-08-23,05:11:43 | INFO | Train Epoch: 6 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.45223 (0.37834) Boundary_loss: 0.012925 (0.012976) Loss: 0.46516 (0.39132) +2025-08-23,05:12:48 | INFO | Train Epoch: 6 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.35549 (0.37826) Boundary_loss: 0.013070 (0.012976) Loss: 0.36856 (0.39123) +2025-08-23,05:13:53 | INFO | Train Epoch: 6 [13517312/26365952 (51%)] Avg Boundaries (per batch): 18.803 Boundary Ratio: 0.096 Contrastive_loss: 0.37586 (0.37825) Boundary_loss: 0.012959 (0.012976) Loss: 0.38882 (0.39122) +2025-08-23,05:14:58 | INFO | Train Epoch: 6 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.40292 (0.37834) Boundary_loss: 0.012918 (0.012976) Loss: 0.41584 (0.39132) +2025-08-23,05:16:03 | INFO | Train Epoch: 6 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.33954 (0.37820) Boundary_loss: 0.012992 (0.012976) Loss: 0.35254 (0.39117) +2025-08-23,05:17:08 | INFO | Train Epoch: 6 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.32396 (0.37799) Boundary_loss: 0.012996 (0.012976) Loss: 0.33695 (0.39097) +2025-08-23,05:18:14 | INFO | Train Epoch: 6 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.40713 (0.37810) Boundary_loss: 0.012940 (0.012976) Loss: 0.42007 (0.39108) +2025-08-23,05:19:19 | INFO | Train Epoch: 6 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.41822 (0.37825) Boundary_loss: 0.012933 (0.012975) Loss: 0.43115 (0.39123) +2025-08-23,05:20:24 | INFO | Train Epoch: 6 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.36327 (0.37820) Boundary_loss: 0.013008 (0.012976) Loss: 0.37627 (0.39117) +2025-08-23,05:21:29 | INFO | Train Epoch: 6 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.39060 (0.37824) Boundary_loss: 0.013008 (0.012976) Loss: 0.40360 (0.39122) +2025-08-23,05:22:34 | INFO | Train Epoch: 6 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.35150 (0.37814) Boundary_loss: 0.012898 (0.012975) Loss: 0.36440 (0.39112) +2025-08-23,05:23:39 | INFO | Train Epoch: 6 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.40143 (0.37823) Boundary_loss: 0.012990 (0.012975) Loss: 0.41442 (0.39120) +2025-08-23,05:24:44 | INFO | Train Epoch: 6 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.44959 (0.37849) Boundary_loss: 0.012959 (0.012975) Loss: 0.46255 (0.39146) +2025-08-23,05:25:49 | INFO | Train Epoch: 6 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.38661 (0.37852) Boundary_loss: 0.013062 (0.012976) Loss: 0.39967 (0.39149) +2025-08-23,05:26:54 | INFO | Train Epoch: 6 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.38935 (0.37856) Boundary_loss: 0.013041 (0.012976) Loss: 0.40239 (0.39153) +2025-08-23,05:27:59 | INFO | Train Epoch: 6 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.39210 (0.37861) Boundary_loss: 0.013009 (0.012976) Loss: 0.40511 (0.39158) +2025-08-23,05:29:04 | INFO | Train Epoch: 6 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.39409 (0.37866) Boundary_loss: 0.012932 (0.012976) Loss: 0.40702 (0.39164) +2025-08-23,05:30:09 | INFO | Train Epoch: 6 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.35294 (0.37857) Boundary_loss: 0.012930 (0.012976) Loss: 0.36587 (0.39154) +2025-08-23,05:31:15 | INFO | Train Epoch: 6 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.40032 (0.37865) Boundary_loss: 0.013032 (0.012976) Loss: 0.41335 (0.39162) +2025-08-23,05:32:20 | INFO | Train Epoch: 6 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.31904 (0.37843) Boundary_loss: 0.012897 (0.012976) Loss: 0.33193 (0.39141) +2025-08-23,05:33:25 | INFO | Train Epoch: 6 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.543 Boundary Ratio: 0.100 Contrastive_loss: 0.33418 (0.37828) Boundary_loss: 0.012905 (0.012975) Loss: 0.34708 (0.39125) +2025-08-23,05:34:30 | INFO | Train Epoch: 6 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.32947 (0.37811) Boundary_loss: 0.013048 (0.012976) Loss: 0.34252 (0.39108) +2025-08-23,05:35:35 | INFO | Train Epoch: 6 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.44357 (0.37834) Boundary_loss: 0.012923 (0.012975) Loss: 0.45649 (0.39131) +2025-08-23,05:36:40 | INFO | Train Epoch: 6 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.42317 (0.37849) Boundary_loss: 0.013046 (0.012976) Loss: 0.43622 (0.39147) +2025-08-23,05:37:45 | INFO | Train Epoch: 6 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.35038 (0.37840) Boundary_loss: 0.012878 (0.012975) Loss: 0.36326 (0.39137) +2025-08-23,05:38:50 | INFO | Train Epoch: 6 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.41140 (0.37851) Boundary_loss: 0.012982 (0.012975) Loss: 0.42439 (0.39149) +2025-08-23,05:39:55 | INFO | Train Epoch: 6 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.38521 (0.37853) Boundary_loss: 0.013044 (0.012976) Loss: 0.39825 (0.39151) +2025-08-23,05:41:00 | INFO | Train Epoch: 6 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.34179 (0.37841) Boundary_loss: 0.012868 (0.012975) Loss: 0.35466 (0.39138) +2025-08-23,05:42:05 | INFO | Train Epoch: 6 [14848512/26365952 (56%)] Avg Boundaries (per batch): 18.832 Boundary Ratio: 0.096 Contrastive_loss: 0.34332 (0.37829) Boundary_loss: 0.012909 (0.012975) Loss: 0.35623 (0.39126) +2025-08-23,05:43:10 | INFO | Train Epoch: 6 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.35473 (0.37821) Boundary_loss: 0.012845 (0.012975) Loss: 0.36758 (0.39118) +2025-08-23,05:44:16 | INFO | Train Epoch: 6 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.39485 (0.37826) Boundary_loss: 0.012972 (0.012975) Loss: 0.40782 (0.39124) +2025-08-23,05:45:21 | INFO | Train Epoch: 6 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.39330 (0.37831) Boundary_loss: 0.012966 (0.012975) Loss: 0.40626 (0.39129) +2025-08-23,05:46:26 | INFO | Train Epoch: 6 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.38602 (0.37834) Boundary_loss: 0.012991 (0.012975) Loss: 0.39901 (0.39131) +2025-08-23,05:47:31 | INFO | Train Epoch: 6 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.39530 (0.37840) Boundary_loss: 0.012939 (0.012975) Loss: 0.40824 (0.39137) +2025-08-23,05:48:36 | INFO | Train Epoch: 6 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.41371 (0.37852) Boundary_loss: 0.012867 (0.012974) Loss: 0.42658 (0.39149) +2025-08-23,05:49:41 | INFO | Train Epoch: 6 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 0.33443 (0.37837) Boundary_loss: 0.012977 (0.012974) Loss: 0.34741 (0.39134) +2025-08-23,05:50:46 | INFO | Train Epoch: 6 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.31784 (0.37816) Boundary_loss: 0.012990 (0.012974) Loss: 0.33083 (0.39114) +2025-08-23,05:51:51 | INFO | Train Epoch: 6 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.37047 (0.37814) Boundary_loss: 0.012931 (0.012974) Loss: 0.38340 (0.39111) +2025-08-23,05:52:56 | INFO | Train Epoch: 6 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.48093 (0.37848) Boundary_loss: 0.013029 (0.012974) Loss: 0.49396 (0.39146) +2025-08-23,05:54:01 | INFO | Train Epoch: 6 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.32096 (0.37829) Boundary_loss: 0.012947 (0.012974) Loss: 0.33390 (0.39126) +2025-08-23,05:55:07 | INFO | Train Epoch: 6 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.590 Boundary Ratio: 0.100 Contrastive_loss: 0.28959 (0.37800) Boundary_loss: 0.013070 (0.012974) Loss: 0.30266 (0.39097) +2025-08-23,05:56:12 | INFO | Train Epoch: 6 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.42523 (0.37815) Boundary_loss: 0.012906 (0.012974) Loss: 0.43814 (0.39113) +2025-08-23,05:57:17 | INFO | Train Epoch: 6 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.44913 (0.37839) Boundary_loss: 0.012960 (0.012974) Loss: 0.46209 (0.39136) +2025-08-23,05:58:22 | INFO | Train Epoch: 6 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.36906 (0.37836) Boundary_loss: 0.013043 (0.012974) Loss: 0.38210 (0.39133) +2025-08-23,05:59:27 | INFO | Train Epoch: 6 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.650 Boundary Ratio: 0.100 Contrastive_loss: 0.39139 (0.37840) Boundary_loss: 0.013041 (0.012975) Loss: 0.40443 (0.39137) +2025-08-23,06:00:32 | INFO | Train Epoch: 6 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.33555 (0.37826) Boundary_loss: 0.012945 (0.012975) Loss: 0.34850 (0.39123) +2025-08-23,06:01:37 | INFO | Train Epoch: 6 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.35247 (0.37818) Boundary_loss: 0.012966 (0.012975) Loss: 0.36543 (0.39115) +2025-08-23,06:02:42 | INFO | Train Epoch: 6 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.40250 (0.37825) Boundary_loss: 0.012955 (0.012974) Loss: 0.41546 (0.39123) +2025-08-23,06:03:47 | INFO | Train Epoch: 6 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.37388 (0.37824) Boundary_loss: 0.012985 (0.012974) Loss: 0.38687 (0.39121) +2025-08-23,06:04:52 | INFO | Train Epoch: 6 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.36410 (0.37819) Boundary_loss: 0.012920 (0.012974) Loss: 0.37702 (0.39117) +2025-08-23,06:05:57 | INFO | Train Epoch: 6 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.39225 (0.37824) Boundary_loss: 0.012989 (0.012974) Loss: 0.40524 (0.39121) +2025-08-23,06:07:02 | INFO | Train Epoch: 6 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.43548 (0.37842) Boundary_loss: 0.012907 (0.012974) Loss: 0.44838 (0.39140) +2025-08-23,06:08:07 | INFO | Train Epoch: 6 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.34348 (0.37831) Boundary_loss: 0.012977 (0.012974) Loss: 0.35646 (0.39128) +2025-08-23,06:09:12 | INFO | Train Epoch: 6 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.30600 (0.37808) Boundary_loss: 0.012943 (0.012974) Loss: 0.31894 (0.39106) +2025-08-23,06:10:18 | INFO | Train Epoch: 6 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.33973 (0.37796) Boundary_loss: 0.012910 (0.012974) Loss: 0.35264 (0.39093) +2025-08-23,06:11:23 | INFO | Train Epoch: 6 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.34968 (0.37787) Boundary_loss: 0.012926 (0.012974) Loss: 0.36260 (0.39085) +2025-08-23,06:12:28 | INFO | Train Epoch: 6 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.36212 (0.37782) Boundary_loss: 0.012873 (0.012973) Loss: 0.37499 (0.39080) +2025-08-23,06:13:33 | INFO | Train Epoch: 6 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.607 Boundary Ratio: 0.100 Contrastive_loss: 0.35973 (0.37777) Boundary_loss: 0.012985 (0.012973) Loss: 0.37272 (0.39074) +2025-08-23,06:14:38 | INFO | Train Epoch: 6 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.38023 (0.37777) Boundary_loss: 0.012846 (0.012973) Loss: 0.39308 (0.39075) +2025-08-23,06:15:43 | INFO | Train Epoch: 6 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.44188 (0.37797) Boundary_loss: 0.012925 (0.012973) Loss: 0.45480 (0.39095) +2025-08-23,06:16:48 | INFO | Train Epoch: 6 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.30499 (0.37775) Boundary_loss: 0.012880 (0.012973) Loss: 0.31787 (0.39072) +2025-08-23,06:17:54 | INFO | Train Epoch: 6 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.33658 (0.37762) Boundary_loss: 0.013013 (0.012973) Loss: 0.34960 (0.39059) +2025-08-23,06:18:59 | INFO | Train Epoch: 6 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.41343 (0.37773) Boundary_loss: 0.012964 (0.012973) Loss: 0.42639 (0.39070) +2025-08-23,06:20:04 | INFO | Train Epoch: 6 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.29473 (0.37748) Boundary_loss: 0.012982 (0.012973) Loss: 0.30771 (0.39045) +2025-08-23,06:21:09 | INFO | Train Epoch: 6 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.34624 (0.37738) Boundary_loss: 0.012921 (0.012973) Loss: 0.35916 (0.39035) +2025-08-23,06:22:14 | INFO | Train Epoch: 6 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.664 Boundary Ratio: 0.100 Contrastive_loss: 0.26472 (0.37704) Boundary_loss: 0.013029 (0.012973) Loss: 0.27775 (0.39001) +2025-08-23,06:23:19 | INFO | Train Epoch: 6 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.39411 (0.37709) Boundary_loss: 0.012919 (0.012973) Loss: 0.40703 (0.39006) +2025-08-23,06:24:24 | INFO | Train Epoch: 6 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.37702 (0.37709) Boundary_loss: 0.012963 (0.012973) Loss: 0.38998 (0.39006) +2025-08-23,06:25:29 | INFO | Train Epoch: 6 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.795 Boundary Ratio: 0.101 Contrastive_loss: 0.38114 (0.37710) Boundary_loss: 0.012935 (0.012972) Loss: 0.39408 (0.39007) +2025-08-23,06:26:34 | INFO | Train Epoch: 6 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.36617 (0.37707) Boundary_loss: 0.012931 (0.012972) Loss: 0.37910 (0.39004) +2025-08-23,06:27:39 | INFO | Train Epoch: 6 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.38508 (0.37709) Boundary_loss: 0.013057 (0.012973) Loss: 0.39814 (0.39006) +2025-08-23,06:28:44 | INFO | Train Epoch: 6 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.36199 (0.37705) Boundary_loss: 0.012929 (0.012972) Loss: 0.37492 (0.39002) +2025-08-23,06:29:50 | INFO | Train Epoch: 6 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.32686 (0.37690) Boundary_loss: 0.012978 (0.012972) Loss: 0.33984 (0.38987) +2025-08-23,06:30:55 | INFO | Train Epoch: 6 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.32967 (0.37676) Boundary_loss: 0.012932 (0.012972) Loss: 0.34260 (0.38973) +2025-08-23,06:32:00 | INFO | Train Epoch: 6 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.36108 (0.37671) Boundary_loss: 0.012920 (0.012972) Loss: 0.37400 (0.38968) +2025-08-23,06:33:05 | INFO | Train Epoch: 6 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.45188 (0.37693) Boundary_loss: 0.012923 (0.012972) Loss: 0.46480 (0.38990) +2025-08-23,06:34:10 | INFO | Train Epoch: 6 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.39660 (0.37699) Boundary_loss: 0.012983 (0.012972) Loss: 0.40959 (0.38996) +2025-08-23,06:35:15 | INFO | Train Epoch: 6 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.39505 (0.37704) Boundary_loss: 0.012966 (0.012972) Loss: 0.40802 (0.39001) +2025-08-23,06:36:20 | INFO | Train Epoch: 6 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.34118 (0.37694) Boundary_loss: 0.012928 (0.012972) Loss: 0.35411 (0.38991) +2025-08-23,06:37:25 | INFO | Train Epoch: 6 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.42927 (0.37709) Boundary_loss: 0.012986 (0.012972) Loss: 0.44226 (0.39006) +2025-08-23,06:38:30 | INFO | Train Epoch: 6 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.29172 (0.37684) Boundary_loss: 0.013001 (0.012972) Loss: 0.30472 (0.38981) +2025-08-23,06:39:35 | INFO | Train Epoch: 6 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.32886 (0.37670) Boundary_loss: 0.013039 (0.012972) Loss: 0.34190 (0.38967) +2025-08-23,06:40:40 | INFO | Train Epoch: 6 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.34597 (0.37661) Boundary_loss: 0.012916 (0.012972) Loss: 0.35888 (0.38959) +2025-08-23,06:41:45 | INFO | Train Epoch: 6 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.37188 (0.37660) Boundary_loss: 0.012886 (0.012972) Loss: 0.38476 (0.38957) +2025-08-23,06:42:50 | INFO | Train Epoch: 6 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 0.35095 (0.37653) Boundary_loss: 0.012984 (0.012972) Loss: 0.36393 (0.38950) +2025-08-23,06:43:56 | INFO | Train Epoch: 6 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.35925 (0.37648) Boundary_loss: 0.012982 (0.012972) Loss: 0.37223 (0.38945) +2025-08-23,06:45:01 | INFO | Train Epoch: 6 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.45094 (0.37669) Boundary_loss: 0.012868 (0.012972) Loss: 0.46381 (0.38966) +2025-08-23,06:46:06 | INFO | Train Epoch: 6 [17869312/26365952 (68%)] Avg Boundaries (per batch): 18.967 Boundary Ratio: 0.097 Contrastive_loss: 0.41731 (0.37681) Boundary_loss: 0.013099 (0.012972) Loss: 0.43041 (0.38978) +2025-08-23,06:47:11 | INFO | Train Epoch: 6 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.34513 (0.37671) Boundary_loss: 0.012902 (0.012972) Loss: 0.35803 (0.38969) +2025-08-23,06:48:16 | INFO | Train Epoch: 6 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.33629 (0.37660) Boundary_loss: 0.013014 (0.012972) Loss: 0.34931 (0.38957) +2025-08-23,06:49:21 | INFO | Train Epoch: 6 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.36152 (0.37656) Boundary_loss: 0.012882 (0.012972) Loss: 0.37440 (0.38953) +2025-08-23,06:50:26 | INFO | Train Epoch: 6 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.23622 (0.37616) Boundary_loss: 0.012875 (0.012971) Loss: 0.24909 (0.38913) +2025-08-23,06:51:31 | INFO | Train Epoch: 6 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.39797 (0.37622) Boundary_loss: 0.012993 (0.012971) Loss: 0.41096 (0.38919) +2025-08-23,06:52:36 | INFO | Train Epoch: 6 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.36497 (0.37619) Boundary_loss: 0.012831 (0.012971) Loss: 0.37781 (0.38916) +2025-08-23,06:53:41 | INFO | Train Epoch: 6 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.28842 (0.37594) Boundary_loss: 0.012864 (0.012971) Loss: 0.30128 (0.38892) +2025-08-23,06:54:47 | INFO | Train Epoch: 6 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.33862 (0.37584) Boundary_loss: 0.012921 (0.012971) Loss: 0.35154 (0.38881) +2025-08-23,06:55:52 | INFO | Train Epoch: 6 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.44154 (0.37602) Boundary_loss: 0.013004 (0.012971) Loss: 0.45455 (0.38899) +2025-08-23,06:56:57 | INFO | Train Epoch: 6 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.34671 (0.37594) Boundary_loss: 0.012920 (0.012971) Loss: 0.35963 (0.38891) +2025-08-23,06:58:02 | INFO | Train Epoch: 6 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.758 Boundary Ratio: 0.101 Contrastive_loss: 0.38918 (0.37598) Boundary_loss: 0.013018 (0.012971) Loss: 0.40220 (0.38895) +2025-08-23,06:59:07 | INFO | Train Epoch: 6 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.52336 (0.37639) Boundary_loss: 0.012869 (0.012970) Loss: 0.53623 (0.38936) +2025-08-23,07:00:12 | INFO | Train Epoch: 6 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.43208 (0.37654) Boundary_loss: 0.012950 (0.012970) Loss: 0.44503 (0.38951) +2025-08-23,07:01:17 | INFO | Train Epoch: 6 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.26307 (0.37623) Boundary_loss: 0.012959 (0.012970) Loss: 0.27603 (0.38920) +2025-08-23,07:02:22 | INFO | Train Epoch: 6 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.46165 (0.37646) Boundary_loss: 0.013088 (0.012971) Loss: 0.47474 (0.38943) +2025-08-23,07:03:27 | INFO | Train Epoch: 6 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.34282 (0.37637) Boundary_loss: 0.012898 (0.012970) Loss: 0.35572 (0.38934) +2025-08-23,07:04:32 | INFO | Train Epoch: 6 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.42262 (0.37650) Boundary_loss: 0.012881 (0.012970) Loss: 0.43550 (0.38947) +2025-08-23,07:05:37 | INFO | Train Epoch: 6 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.37807 (0.37650) Boundary_loss: 0.012800 (0.012970) Loss: 0.39088 (0.38947) +2025-08-23,07:06:43 | INFO | Train Epoch: 6 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.39954 (0.37656) Boundary_loss: 0.013017 (0.012970) Loss: 0.41256 (0.38953) +2025-08-23,07:07:48 | INFO | Train Epoch: 6 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.34711 (0.37648) Boundary_loss: 0.012991 (0.012970) Loss: 0.36010 (0.38945) +2025-08-23,07:08:53 | INFO | Train Epoch: 6 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.41311 (0.37658) Boundary_loss: 0.013035 (0.012970) Loss: 0.42615 (0.38955) +2025-08-23,07:09:58 | INFO | Train Epoch: 6 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.44449 (0.37676) Boundary_loss: 0.012858 (0.012970) Loss: 0.45734 (0.38973) +2025-08-23,07:11:03 | INFO | Train Epoch: 6 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.32004 (0.37661) Boundary_loss: 0.012971 (0.012970) Loss: 0.33301 (0.38958) +2025-08-23,07:12:08 | INFO | Train Epoch: 6 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.36205 (0.37657) Boundary_loss: 0.012931 (0.012970) Loss: 0.37498 (0.38954) +2025-08-23,07:13:13 | INFO | Train Epoch: 6 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.36827 (0.37655) Boundary_loss: 0.012988 (0.012970) Loss: 0.38126 (0.38952) +2025-08-23,07:14:18 | INFO | Train Epoch: 6 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.543 Boundary Ratio: 0.100 Contrastive_loss: 0.40365 (0.37662) Boundary_loss: 0.012937 (0.012970) Loss: 0.41659 (0.38959) +2025-08-23,07:15:23 | INFO | Train Epoch: 6 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.37366 (0.37662) Boundary_loss: 0.012982 (0.012970) Loss: 0.38665 (0.38958) +2025-08-23,07:16:28 | INFO | Train Epoch: 6 [19302912/26365952 (73%)] Avg Boundaries (per batch): 18.877 Boundary Ratio: 0.096 Contrastive_loss: 0.42355 (0.37674) Boundary_loss: 0.013045 (0.012970) Loss: 0.43659 (0.38971) +2025-08-23,07:17:33 | INFO | Train Epoch: 6 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.37871 (0.37674) Boundary_loss: 0.013071 (0.012970) Loss: 0.39178 (0.38971) +2025-08-23,07:18:38 | INFO | Train Epoch: 6 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.43261 (0.37689) Boundary_loss: 0.013099 (0.012970) Loss: 0.44571 (0.38986) +2025-08-23,07:19:44 | INFO | Train Epoch: 6 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.38740 (0.37692) Boundary_loss: 0.012966 (0.012970) Loss: 0.40037 (0.38989) +2025-08-23,07:20:49 | INFO | Train Epoch: 6 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.39677 (0.37697) Boundary_loss: 0.012966 (0.012970) Loss: 0.40973 (0.38994) +2025-08-23,07:21:54 | INFO | Train Epoch: 6 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.38978 (0.37700) Boundary_loss: 0.012913 (0.012970) Loss: 0.40269 (0.38997) +2025-08-23,07:22:59 | INFO | Train Epoch: 6 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.28118 (0.37676) Boundary_loss: 0.012890 (0.012970) Loss: 0.29407 (0.38973) +2025-08-23,07:24:04 | INFO | Train Epoch: 6 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.32920 (0.37663) Boundary_loss: 0.012977 (0.012970) Loss: 0.34218 (0.38960) +2025-08-23,07:25:09 | INFO | Train Epoch: 6 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.36841 (0.37661) Boundary_loss: 0.012886 (0.012970) Loss: 0.38129 (0.38958) +2025-08-23,07:26:14 | INFO | Train Epoch: 6 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.34102 (0.37652) Boundary_loss: 0.012982 (0.012970) Loss: 0.35400 (0.38949) +2025-08-23,07:27:19 | INFO | Train Epoch: 6 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.33657 (0.37642) Boundary_loss: 0.013077 (0.012970) Loss: 0.34965 (0.38939) +2025-08-23,07:28:24 | INFO | Train Epoch: 6 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.36280 (0.37638) Boundary_loss: 0.012969 (0.012970) Loss: 0.37577 (0.38935) +2025-08-23,07:29:29 | INFO | Train Epoch: 6 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.35865 (0.37633) Boundary_loss: 0.012914 (0.012970) Loss: 0.37156 (0.38930) +2025-08-23,07:30:34 | INFO | Train Epoch: 6 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.37127 (0.37632) Boundary_loss: 0.012952 (0.012970) Loss: 0.38422 (0.38929) +2025-08-23,07:31:39 | INFO | Train Epoch: 6 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.33151 (0.37621) Boundary_loss: 0.013076 (0.012970) Loss: 0.34458 (0.38918) +2025-08-23,07:32:44 | INFO | Train Epoch: 6 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.41331 (0.37630) Boundary_loss: 0.012934 (0.012970) Loss: 0.42624 (0.38927) +2025-08-23,07:33:49 | INFO | Train Epoch: 6 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.29714 (0.37610) Boundary_loss: 0.012987 (0.012970) Loss: 0.31013 (0.38907) +2025-08-23,07:34:54 | INFO | Train Epoch: 6 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.40070 (0.37616) Boundary_loss: 0.013059 (0.012970) Loss: 0.41376 (0.38913) +2025-08-23,07:35:59 | INFO | Train Epoch: 6 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.38682 (0.37619) Boundary_loss: 0.012869 (0.012970) Loss: 0.39969 (0.38916) +2025-08-23,07:37:04 | INFO | Train Epoch: 6 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.40292 (0.37626) Boundary_loss: 0.013047 (0.012970) Loss: 0.41596 (0.38923) +2025-08-23,07:38:09 | INFO | Train Epoch: 6 [20326912/26365952 (77%)] Avg Boundaries (per batch): 18.902 Boundary Ratio: 0.096 Contrastive_loss: 0.38718 (0.37628) Boundary_loss: 0.012983 (0.012970) Loss: 0.40016 (0.38926) +2025-08-23,07:39:14 | INFO | Train Epoch: 6 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.34051 (0.37620) Boundary_loss: 0.012919 (0.012970) Loss: 0.35343 (0.38917) +2025-08-23,07:40:19 | INFO | Train Epoch: 6 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.43735 (0.37635) Boundary_loss: 0.012985 (0.012970) Loss: 0.45033 (0.38932) +2025-08-23,07:41:24 | INFO | Train Epoch: 6 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.26688 (0.37608) Boundary_loss: 0.012881 (0.012970) Loss: 0.27976 (0.38905) +2025-08-23,07:42:29 | INFO | Train Epoch: 6 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.39140 (0.37611) Boundary_loss: 0.013078 (0.012970) Loss: 0.40448 (0.38908) +2025-08-23,07:43:34 | INFO | Train Epoch: 6 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.31456 (0.37596) Boundary_loss: 0.012897 (0.012970) Loss: 0.32746 (0.38893) +2025-08-23,07:44:39 | INFO | Train Epoch: 6 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.33748 (0.37587) Boundary_loss: 0.012915 (0.012970) Loss: 0.35039 (0.38884) +2025-08-23,07:45:44 | INFO | Train Epoch: 6 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.37171 (0.37586) Boundary_loss: 0.012952 (0.012970) Loss: 0.38466 (0.38883) +2025-08-23,07:46:50 | INFO | Train Epoch: 6 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.35457 (0.37580) Boundary_loss: 0.012896 (0.012970) Loss: 0.36747 (0.38877) +2025-08-23,07:47:55 | INFO | Train Epoch: 6 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.34046 (0.37572) Boundary_loss: 0.012975 (0.012970) Loss: 0.35343 (0.38869) +2025-08-23,07:49:00 | INFO | Train Epoch: 6 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.40324 (0.37578) Boundary_loss: 0.012821 (0.012969) Loss: 0.41606 (0.38875) +2025-08-23,07:50:05 | INFO | Train Epoch: 6 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.33463 (0.37568) Boundary_loss: 0.012990 (0.012970) Loss: 0.34762 (0.38865) +2025-08-23,07:51:10 | INFO | Train Epoch: 6 [20941312/26365952 (79%)] Avg Boundaries (per batch): 18.969 Boundary Ratio: 0.097 Contrastive_loss: 0.32741 (0.37556) Boundary_loss: 0.012921 (0.012969) Loss: 0.34033 (0.38853) +2025-08-23,07:52:15 | INFO | Train Epoch: 6 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.32355 (0.37544) Boundary_loss: 0.013034 (0.012970) Loss: 0.33659 (0.38841) +2025-08-23,07:53:20 | INFO | Train Epoch: 6 [21043712/26365952 (80%)] Avg Boundaries (per batch): 18.816 Boundary Ratio: 0.096 Contrastive_loss: 0.40003 (0.37550) Boundary_loss: 0.012986 (0.012970) Loss: 0.41302 (0.38847) +2025-08-23,07:54:25 | INFO | Train Epoch: 6 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.34487 (0.37542) Boundary_loss: 0.013010 (0.012970) Loss: 0.35788 (0.38839) +2025-08-23,07:55:30 | INFO | Train Epoch: 6 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.37194 (0.37542) Boundary_loss: 0.012953 (0.012970) Loss: 0.38490 (0.38839) +2025-08-23,07:56:35 | INFO | Train Epoch: 6 [21197312/26365952 (80%)] Avg Boundaries (per batch): 18.818 Boundary Ratio: 0.096 Contrastive_loss: 0.34427 (0.37534) Boundary_loss: 0.012976 (0.012970) Loss: 0.35725 (0.38831) +2025-08-23,07:57:40 | INFO | Train Epoch: 6 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.32648 (0.37522) Boundary_loss: 0.013150 (0.012970) Loss: 0.33963 (0.38819) +2025-08-23,07:58:45 | INFO | Train Epoch: 6 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.37315 (0.37522) Boundary_loss: 0.012940 (0.012970) Loss: 0.38609 (0.38819) +2025-08-23,07:59:51 | INFO | Train Epoch: 6 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.32776 (0.37510) Boundary_loss: 0.012968 (0.012970) Loss: 0.34073 (0.38807) +2025-08-23,08:00:56 | INFO | Train Epoch: 6 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.39085 (0.37514) Boundary_loss: 0.012980 (0.012970) Loss: 0.40383 (0.38811) +2025-08-23,08:02:01 | INFO | Train Epoch: 6 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.39229 (0.37518) Boundary_loss: 0.012909 (0.012970) Loss: 0.40520 (0.38815) +2025-08-23,08:03:06 | INFO | Train Epoch: 6 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.30525 (0.37502) Boundary_loss: 0.012925 (0.012970) Loss: 0.31818 (0.38799) +2025-08-23,08:04:11 | INFO | Train Epoch: 6 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.43684 (0.37516) Boundary_loss: 0.012945 (0.012970) Loss: 0.44979 (0.38813) +2025-08-23,08:05:16 | INFO | Train Epoch: 6 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.40355 (0.37523) Boundary_loss: 0.012923 (0.012970) Loss: 0.41648 (0.38820) +2025-08-23,08:06:21 | INFO | Train Epoch: 6 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.35619 (0.37519) Boundary_loss: 0.013076 (0.012970) Loss: 0.36926 (0.38816) +2025-08-23,08:07:26 | INFO | Train Epoch: 6 [21709312/26365952 (82%)] Avg Boundaries (per batch): 18.982 Boundary Ratio: 0.097 Contrastive_loss: 0.35941 (0.37515) Boundary_loss: 0.012975 (0.012970) Loss: 0.37238 (0.38812) +2025-08-23,08:08:31 | INFO | Train Epoch: 6 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.36042 (0.37511) Boundary_loss: 0.012925 (0.012970) Loss: 0.37334 (0.38808) +2025-08-23,08:09:36 | INFO | Train Epoch: 6 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.39874 (0.37517) Boundary_loss: 0.012888 (0.012970) Loss: 0.41163 (0.38814) +2025-08-23,08:10:41 | INFO | Train Epoch: 6 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.29114 (0.37497) Boundary_loss: 0.012929 (0.012969) Loss: 0.30407 (0.38794) +2025-08-23,08:11:47 | INFO | Train Epoch: 6 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.30884 (0.37482) Boundary_loss: 0.012946 (0.012969) Loss: 0.32179 (0.38779) +2025-08-23,08:12:52 | INFO | Train Epoch: 6 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.39430 (0.37486) Boundary_loss: 0.012880 (0.012969) Loss: 0.40718 (0.38783) +2025-08-23,08:13:57 | INFO | Train Epoch: 6 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.33605 (0.37477) Boundary_loss: 0.012956 (0.012969) Loss: 0.34900 (0.38774) +2025-08-23,08:15:02 | INFO | Train Epoch: 6 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.40234 (0.37484) Boundary_loss: 0.012888 (0.012969) Loss: 0.41523 (0.38781) +2025-08-23,08:16:07 | INFO | Train Epoch: 6 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.31513 (0.37470) Boundary_loss: 0.012871 (0.012969) Loss: 0.32801 (0.38767) +2025-08-23,08:17:12 | INFO | Train Epoch: 6 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.35593 (0.37466) Boundary_loss: 0.012918 (0.012969) Loss: 0.36885 (0.38763) +2025-08-23,08:18:17 | INFO | Train Epoch: 6 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.35890 (0.37462) Boundary_loss: 0.012948 (0.012969) Loss: 0.37185 (0.38759) +2025-08-23,08:19:22 | INFO | Train Epoch: 6 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.39176 (0.37466) Boundary_loss: 0.012943 (0.012969) Loss: 0.40470 (0.38763) +2025-08-23,08:20:27 | INFO | Train Epoch: 6 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.36040 (0.37463) Boundary_loss: 0.012920 (0.012968) Loss: 0.37332 (0.38760) +2025-08-23,08:21:32 | INFO | Train Epoch: 6 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.32968 (0.37452) Boundary_loss: 0.013038 (0.012969) Loss: 0.34271 (0.38749) +2025-08-23,08:22:37 | INFO | Train Epoch: 6 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.35036 (0.37447) Boundary_loss: 0.012841 (0.012968) Loss: 0.36320 (0.38744) +2025-08-23,08:23:42 | INFO | Train Epoch: 6 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.37543 (0.37447) Boundary_loss: 0.012913 (0.012968) Loss: 0.38834 (0.38744) +2025-08-23,08:24:47 | INFO | Train Epoch: 6 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.35231 (0.37442) Boundary_loss: 0.012997 (0.012968) Loss: 0.36531 (0.38739) +2025-08-23,08:25:52 | INFO | Train Epoch: 6 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.41441 (0.37451) Boundary_loss: 0.012990 (0.012968) Loss: 0.42740 (0.38748) +2025-08-23,08:26:57 | INFO | Train Epoch: 6 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.37619 (0.37452) Boundary_loss: 0.012905 (0.012968) Loss: 0.38910 (0.38748) +2025-08-23,08:28:02 | INFO | Train Epoch: 6 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.40934 (0.37459) Boundary_loss: 0.012908 (0.012968) Loss: 0.42225 (0.38756) +2025-08-23,08:29:07 | INFO | Train Epoch: 6 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.33494 (0.37450) Boundary_loss: 0.013012 (0.012968) Loss: 0.34795 (0.38747) +2025-08-23,08:30:13 | INFO | Train Epoch: 6 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.48187 (0.37475) Boundary_loss: 0.012916 (0.012968) Loss: 0.49478 (0.38771) +2025-08-23,08:31:18 | INFO | Train Epoch: 6 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.582 Boundary Ratio: 0.100 Contrastive_loss: 0.42023 (0.37485) Boundary_loss: 0.012852 (0.012968) Loss: 0.43308 (0.38782) +2025-08-23,08:32:23 | INFO | Train Epoch: 6 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.34364 (0.37478) Boundary_loss: 0.013001 (0.012968) Loss: 0.35664 (0.38775) +2025-08-23,08:33:28 | INFO | Train Epoch: 6 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.36243 (0.37475) Boundary_loss: 0.013039 (0.012968) Loss: 0.37547 (0.38772) +2025-08-23,08:34:33 | INFO | Train Epoch: 6 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.34949 (0.37469) Boundary_loss: 0.012816 (0.012968) Loss: 0.36230 (0.38766) +2025-08-23,08:35:38 | INFO | Train Epoch: 6 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.41832 (0.37479) Boundary_loss: 0.012918 (0.012968) Loss: 0.43124 (0.38776) +2025-08-23,08:36:43 | INFO | Train Epoch: 6 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.27439 (0.37457) Boundary_loss: 0.012996 (0.012968) Loss: 0.28739 (0.38754) +2025-08-23,08:37:48 | INFO | Train Epoch: 6 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.637 Boundary Ratio: 0.100 Contrastive_loss: 0.38408 (0.37459) Boundary_loss: 0.012988 (0.012968) Loss: 0.39707 (0.38756) +2025-08-23,08:38:53 | INFO | Train Epoch: 6 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.36968 (0.37458) Boundary_loss: 0.012946 (0.012968) Loss: 0.38263 (0.38755) +2025-08-23,08:39:58 | INFO | Train Epoch: 6 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.28158 (0.37437) Boundary_loss: 0.012874 (0.012967) Loss: 0.29446 (0.38734) +2025-08-23,08:41:03 | INFO | Train Epoch: 6 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.36019 (0.37434) Boundary_loss: 0.012848 (0.012967) Loss: 0.37304 (0.38731) +2025-08-23,08:42:08 | INFO | Train Epoch: 6 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.49722 (0.37461) Boundary_loss: 0.012976 (0.012967) Loss: 0.51020 (0.38758) +2025-08-23,08:43:14 | INFO | Train Epoch: 6 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.42398 (0.37472) Boundary_loss: 0.012877 (0.012967) Loss: 0.43686 (0.38769) +2025-08-23,08:44:19 | INFO | Train Epoch: 6 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.41016 (0.37480) Boundary_loss: 0.012970 (0.012967) Loss: 0.42313 (0.38776) +2025-08-23,08:45:24 | INFO | Train Epoch: 6 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.41609 (0.37489) Boundary_loss: 0.013039 (0.012967) Loss: 0.42913 (0.38785) +2025-08-23,08:46:29 | INFO | Train Epoch: 6 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.36991 (0.37488) Boundary_loss: 0.012945 (0.012967) Loss: 0.38285 (0.38784) +2025-08-23,08:47:34 | INFO | Train Epoch: 6 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.38103 (0.37489) Boundary_loss: 0.012906 (0.012967) Loss: 0.39393 (0.38786) +2025-08-23,08:48:39 | INFO | Train Epoch: 6 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 0.40333 (0.37495) Boundary_loss: 0.012908 (0.012967) Loss: 0.41623 (0.38792) +2025-08-23,08:49:44 | INFO | Train Epoch: 6 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 0.38370 (0.37497) Boundary_loss: 0.013062 (0.012967) Loss: 0.39677 (0.38794) +2025-08-23,08:50:49 | INFO | Train Epoch: 6 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.40591 (0.37504) Boundary_loss: 0.012939 (0.012967) Loss: 0.41885 (0.38800) +2025-08-23,08:51:54 | INFO | Train Epoch: 6 [23808512/26365952 (90%)] Avg Boundaries (per batch): 18.820 Boundary Ratio: 0.096 Contrastive_loss: 0.36547 (0.37502) Boundary_loss: 0.013015 (0.012967) Loss: 0.37849 (0.38798) +2025-08-23,08:53:00 | INFO | Train Epoch: 6 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.35765 (0.37498) Boundary_loss: 0.012950 (0.012967) Loss: 0.37060 (0.38795) +2025-08-23,08:54:05 | INFO | Train Epoch: 6 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.43224 (0.37510) Boundary_loss: 0.012920 (0.012967) Loss: 0.44516 (0.38807) +2025-08-23,08:55:10 | INFO | Train Epoch: 6 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.37194 (0.37509) Boundary_loss: 0.012941 (0.012967) Loss: 0.38488 (0.38806) +2025-08-23,08:56:15 | INFO | Train Epoch: 6 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.37712 (0.37510) Boundary_loss: 0.013027 (0.012967) Loss: 0.39015 (0.38807) +2025-08-23,08:57:20 | INFO | Train Epoch: 6 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.41647 (0.37519) Boundary_loss: 0.013061 (0.012967) Loss: 0.42953 (0.38815) +2025-08-23,08:58:25 | INFO | Train Epoch: 6 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.645 Boundary Ratio: 0.100 Contrastive_loss: 0.39191 (0.37522) Boundary_loss: 0.012947 (0.012967) Loss: 0.40486 (0.38819) +2025-08-23,08:59:30 | INFO | Train Epoch: 6 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.30331 (0.37507) Boundary_loss: 0.012923 (0.012967) Loss: 0.31623 (0.38804) +2025-08-23,09:00:35 | INFO | Train Epoch: 6 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.36079 (0.37504) Boundary_loss: 0.013094 (0.012967) Loss: 0.37389 (0.38801) +2025-08-23,09:01:40 | INFO | Train Epoch: 6 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.31343 (0.37491) Boundary_loss: 0.012996 (0.012967) Loss: 0.32643 (0.38788) +2025-08-23,09:02:45 | INFO | Train Epoch: 6 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.36459 (0.37489) Boundary_loss: 0.012997 (0.012967) Loss: 0.37759 (0.38786) +2025-08-23,09:03:51 | INFO | Train Epoch: 6 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.37114 (0.37488) Boundary_loss: 0.012937 (0.012967) Loss: 0.38408 (0.38785) +2025-08-23,09:04:56 | INFO | Train Epoch: 6 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.40668 (0.37495) Boundary_loss: 0.012931 (0.012967) Loss: 0.41961 (0.38791) +2025-08-23,09:06:01 | INFO | Train Epoch: 6 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.39825 (0.37500) Boundary_loss: 0.012904 (0.012967) Loss: 0.41115 (0.38796) +2025-08-23,09:07:06 | INFO | Train Epoch: 6 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.564 Boundary Ratio: 0.100 Contrastive_loss: 0.32987 (0.37490) Boundary_loss: 0.012916 (0.012967) Loss: 0.34279 (0.38787) +2025-08-23,09:08:11 | INFO | Train Epoch: 6 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.31491 (0.37478) Boundary_loss: 0.012956 (0.012967) Loss: 0.32786 (0.38774) +2025-08-23,09:09:16 | INFO | Train Epoch: 6 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.46288 (0.37496) Boundary_loss: 0.012824 (0.012967) Loss: 0.47570 (0.38793) +2025-08-23,09:10:21 | INFO | Train Epoch: 6 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.33861 (0.37488) Boundary_loss: 0.012935 (0.012967) Loss: 0.35154 (0.38785) +2025-08-23,09:11:26 | INFO | Train Epoch: 6 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.35887 (0.37485) Boundary_loss: 0.012916 (0.012967) Loss: 0.37179 (0.38782) +2025-08-23,09:12:31 | INFO | Train Epoch: 6 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.36350 (0.37483) Boundary_loss: 0.013094 (0.012967) Loss: 0.37659 (0.38779) +2025-08-23,09:13:36 | INFO | Train Epoch: 6 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.37942 (0.37484) Boundary_loss: 0.012841 (0.012967) Loss: 0.39226 (0.38780) +2025-08-23,09:14:41 | INFO | Train Epoch: 6 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.41294 (0.37492) Boundary_loss: 0.012838 (0.012966) Loss: 0.42578 (0.38788) +2025-08-23,09:15:47 | INFO | Train Epoch: 6 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.721 Boundary Ratio: 0.101 Contrastive_loss: 0.41730 (0.37500) Boundary_loss: 0.012948 (0.012966) Loss: 0.43025 (0.38797) +2025-08-23,09:16:52 | INFO | Train Epoch: 6 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.40899 (0.37507) Boundary_loss: 0.012895 (0.012966) Loss: 0.42188 (0.38804) +2025-08-23,09:17:57 | INFO | Train Epoch: 6 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.42923 (0.37518) Boundary_loss: 0.013017 (0.012966) Loss: 0.44224 (0.38815) +2025-08-23,09:19:02 | INFO | Train Epoch: 6 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.34751 (0.37513) Boundary_loss: 0.012856 (0.012966) Loss: 0.36037 (0.38809) +2025-08-23,09:20:07 | INFO | Train Epoch: 6 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.33218 (0.37504) Boundary_loss: 0.013052 (0.012966) Loss: 0.34523 (0.38801) +2025-08-23,09:21:12 | INFO | Train Epoch: 6 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.34319 (0.37497) Boundary_loss: 0.013066 (0.012966) Loss: 0.35626 (0.38794) +2025-08-23,09:22:17 | INFO | Train Epoch: 6 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.40742 (0.37504) Boundary_loss: 0.012949 (0.012966) Loss: 0.42037 (0.38801) +2025-08-23,09:23:22 | INFO | Train Epoch: 6 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.33387 (0.37496) Boundary_loss: 0.012990 (0.012966) Loss: 0.34686 (0.38792) +2025-08-23,09:24:27 | INFO | Train Epoch: 6 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.30844 (0.37482) Boundary_loss: 0.012957 (0.012966) Loss: 0.32139 (0.38779) +2025-08-23,09:25:32 | INFO | Train Epoch: 6 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.37849 (0.37483) Boundary_loss: 0.012948 (0.012966) Loss: 0.39143 (0.38780) +2025-08-23,09:26:37 | INFO | Train Epoch: 6 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.32432 (0.37473) Boundary_loss: 0.012990 (0.012966) Loss: 0.33731 (0.38770) +2025-08-23,09:27:42 | INFO | Train Epoch: 6 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.30213 (0.37458) Boundary_loss: 0.012886 (0.012966) Loss: 0.31502 (0.38755) +2025-08-23,09:28:47 | INFO | Train Epoch: 6 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.39028 (0.37461) Boundary_loss: 0.012971 (0.012966) Loss: 0.40326 (0.38758) +2025-08-23,09:29:52 | INFO | Train Epoch: 6 [25600512/26365952 (97%)] Avg Boundaries (per batch): 18.590 Boundary Ratio: 0.095 Contrastive_loss: 0.34435 (0.37455) Boundary_loss: 0.012971 (0.012966) Loss: 0.35732 (0.38752) +2025-08-23,09:30:58 | INFO | Train Epoch: 6 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.32840 (0.37446) Boundary_loss: 0.012929 (0.012966) Loss: 0.34133 (0.38743) +2025-08-23,09:32:03 | INFO | Train Epoch: 6 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.42594 (0.37456) Boundary_loss: 0.012961 (0.012966) Loss: 0.43890 (0.38753) +2025-08-23,09:33:08 | INFO | Train Epoch: 6 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.42780 (0.37467) Boundary_loss: 0.012892 (0.012966) Loss: 0.44070 (0.38764) +2025-08-23,09:34:13 | INFO | Train Epoch: 6 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.32959 (0.37458) Boundary_loss: 0.012934 (0.012966) Loss: 0.34252 (0.38755) +2025-08-23,09:35:18 | INFO | Train Epoch: 6 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.33916 (0.37451) Boundary_loss: 0.012945 (0.012966) Loss: 0.35211 (0.38748) +2025-08-23,09:36:23 | INFO | Train Epoch: 6 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.34820 (0.37446) Boundary_loss: 0.012898 (0.012966) Loss: 0.36109 (0.38742) +2025-08-23,09:37:28 | INFO | Train Epoch: 6 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.35871 (0.37443) Boundary_loss: 0.012892 (0.012966) Loss: 0.37160 (0.38739) +2025-08-23,09:38:33 | INFO | Train Epoch: 6 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.39420 (0.37447) Boundary_loss: 0.012857 (0.012965) Loss: 0.40705 (0.38743) +2025-08-23,09:39:38 | INFO | Train Epoch: 6 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.38233 (0.37448) Boundary_loss: 0.012927 (0.012965) Loss: 0.39526 (0.38745) +2025-08-23,09:40:44 | INFO | Train Epoch: 6 [26112512/26365952 (99%)] Avg Boundaries (per batch): 18.797 Boundary Ratio: 0.096 Contrastive_loss: 0.36541 (0.37446) Boundary_loss: 0.013008 (0.012965) Loss: 0.37842 (0.38743) +2025-08-23,09:41:49 | INFO | Train Epoch: 6 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.41859 (0.37455) Boundary_loss: 0.012879 (0.012965) Loss: 0.43147 (0.38752) +2025-08-23,09:42:54 | INFO | Train Epoch: 6 [26214912/26365952 (99%)] Avg Boundaries (per batch): 18.879 Boundary Ratio: 0.096 Contrastive_loss: 0.29474 (0.37440) Boundary_loss: 0.012930 (0.012965) Loss: 0.30767 (0.38736) +2025-08-23,09:43:59 | INFO | Train Epoch: 6 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.29168 (0.37423) Boundary_loss: 0.012969 (0.012965) Loss: 0.30465 (0.38720) +2025-08-23,09:45:04 | INFO | Train Epoch: 6 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.37186 (0.37423) Boundary_loss: 0.012851 (0.012965) Loss: 0.38472 (0.38719) +2025-08-23,09:46:06 | INFO | Train Epoch: 6 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.47481 (0.37442) Boundary_loss: 0.012837 (0.012965) Loss: 0.48765 (0.38739) +2025-08-23,09:46:06 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-23,09:46:06 | INFO | [Epoch 6] Average Step Time: 0.655s | Average GPU Memory: 37.3 GB +2025-08-23,09:46:06 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-23,09:46:06 | INFO | Starting zero-shot imagenet. +2025-08-23,09:46:06 | INFO | Building zero-shot classifier +2025-08-23,09:46:15 | INFO | Using classifier +2025-08-23,09:46:58 | INFO | Finished zero-shot imagenet. +2025-08-23,09:46:58 | INFO | Eval Epoch: 7 imagenet-zeroshot-val-top1: 0.2688 imagenet-zeroshot-val-top5: 0.5236 +2025-08-23,09:47:00 | INFO | Start epoch 7 +2025-08-23,09:47:02 | INFO | Train Epoch: 7 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.27823 (0.27823) Boundary_loss: 0.012899 (0.012899) Loss: 0.29112 (0.29112) +2025-08-23,09:48:07 | INFO | Train Epoch: 7 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.35479 (0.31651) Boundary_loss: 0.012888 (0.012894) Loss: 0.36768 (0.32940) +2025-08-23,09:49:11 | INFO | Train Epoch: 7 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.26629 (0.29977) Boundary_loss: 0.013026 (0.012938) Loss: 0.27931 (0.31271) +2025-08-23,09:50:16 | INFO | Train Epoch: 7 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.26694 (0.29156) Boundary_loss: 0.012996 (0.012952) Loss: 0.27994 (0.30451) +2025-08-23,09:51:21 | INFO | Train Epoch: 7 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.31483 (0.29622) Boundary_loss: 0.012952 (0.012952) Loss: 0.32778 (0.30917) +2025-08-23,09:52:26 | INFO | Train Epoch: 7 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.32256 (0.30061) Boundary_loss: 0.012969 (0.012955) Loss: 0.33553 (0.31356) +2025-08-23,09:53:31 | INFO | Train Epoch: 7 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.37548 (0.31130) Boundary_loss: 0.012896 (0.012947) Loss: 0.38838 (0.32425) +2025-08-23,09:54:35 | INFO | Train Epoch: 7 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.32338 (0.31281) Boundary_loss: 0.012918 (0.012943) Loss: 0.33630 (0.32576) +2025-08-23,09:55:40 | INFO | Train Epoch: 7 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.36167 (0.31824) Boundary_loss: 0.013040 (0.012954) Loss: 0.37471 (0.33119) +2025-08-23,09:56:45 | INFO | Train Epoch: 7 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.30358 (0.31677) Boundary_loss: 0.012947 (0.012953) Loss: 0.31653 (0.32973) +2025-08-23,09:57:50 | INFO | Train Epoch: 7 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.32733 (0.31773) Boundary_loss: 0.012973 (0.012955) Loss: 0.34031 (0.33069) +2025-08-23,09:58:54 | INFO | Train Epoch: 7 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.31775 (0.31774) Boundary_loss: 0.012854 (0.012946) Loss: 0.33060 (0.33068) +2025-08-23,09:59:59 | INFO | Train Epoch: 7 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.34440 (0.31979) Boundary_loss: 0.013026 (0.012953) Loss: 0.35743 (0.33274) +2025-08-23,10:01:04 | INFO | Train Epoch: 7 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.27264 (0.31642) Boundary_loss: 0.012930 (0.012951) Loss: 0.28557 (0.32937) +2025-08-23,10:02:09 | INFO | Train Epoch: 7 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.36254 (0.31949) Boundary_loss: 0.012900 (0.012948) Loss: 0.37544 (0.33244) +2025-08-23,10:03:13 | INFO | Train Epoch: 7 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.33583 (0.32052) Boundary_loss: 0.012911 (0.012945) Loss: 0.34874 (0.33346) +2025-08-23,10:04:18 | INFO | Train Epoch: 7 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.35629 (0.32262) Boundary_loss: 0.012925 (0.012944) Loss: 0.36921 (0.33556) +2025-08-23,10:05:23 | INFO | Train Epoch: 7 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.30107 (0.32142) Boundary_loss: 0.013028 (0.012949) Loss: 0.31409 (0.33437) +2025-08-23,10:06:28 | INFO | Train Epoch: 7 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.24633 (0.31747) Boundary_loss: 0.012890 (0.012946) Loss: 0.25922 (0.33042) +2025-08-23,10:07:32 | INFO | Train Epoch: 7 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.32682 (0.31794) Boundary_loss: 0.012900 (0.012943) Loss: 0.33972 (0.33088) +2025-08-23,10:08:37 | INFO | Train Epoch: 7 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.33441 (0.31872) Boundary_loss: 0.012889 (0.012941) Loss: 0.34730 (0.33166) +2025-08-23,10:09:42 | INFO | Train Epoch: 7 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.34504 (0.31992) Boundary_loss: 0.012864 (0.012937) Loss: 0.35790 (0.33285) +2025-08-23,10:10:47 | INFO | Train Epoch: 7 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.39394 (0.32314) Boundary_loss: 0.012964 (0.012938) Loss: 0.40690 (0.33607) +2025-08-23,10:11:52 | INFO | Train Epoch: 7 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.33710 (0.32372) Boundary_loss: 0.012967 (0.012940) Loss: 0.35007 (0.33666) +2025-08-23,10:12:56 | INFO | Train Epoch: 7 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.42168 (0.32764) Boundary_loss: 0.012879 (0.012937) Loss: 0.43456 (0.34057) +2025-08-23,10:14:01 | INFO | Train Epoch: 7 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.39309 (0.33015) Boundary_loss: 0.013056 (0.012942) Loss: 0.40615 (0.34310) +2025-08-23,10:15:06 | INFO | Train Epoch: 7 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.33168 (0.33021) Boundary_loss: 0.013016 (0.012944) Loss: 0.34469 (0.34315) +2025-08-23,10:16:11 | INFO | Train Epoch: 7 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.28889 (0.32873) Boundary_loss: 0.012786 (0.012939) Loss: 0.30168 (0.34167) +2025-08-23,10:17:15 | INFO | Train Epoch: 7 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.29714 (0.32765) Boundary_loss: 0.012928 (0.012938) Loss: 0.31007 (0.34058) +2025-08-23,10:18:20 | INFO | Train Epoch: 7 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.27814 (0.32600) Boundary_loss: 0.013013 (0.012941) Loss: 0.29115 (0.33894) +2025-08-23,10:19:25 | INFO | Train Epoch: 7 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.33846 (0.32640) Boundary_loss: 0.013085 (0.012946) Loss: 0.35155 (0.33934) +2025-08-23,10:20:30 | INFO | Train Epoch: 7 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.30983 (0.32588) Boundary_loss: 0.013007 (0.012947) Loss: 0.32284 (0.33883) +2025-08-23,10:21:34 | INFO | Train Epoch: 7 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.36042 (0.32693) Boundary_loss: 0.013000 (0.012949) Loss: 0.37342 (0.33988) +2025-08-23,10:22:39 | INFO | Train Epoch: 7 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.686 Boundary Ratio: 0.100 Contrastive_loss: 0.27424 (0.32538) Boundary_loss: 0.012889 (0.012947) Loss: 0.28713 (0.33832) +2025-08-23,10:23:44 | INFO | Train Epoch: 7 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 0.28439 (0.32421) Boundary_loss: 0.012941 (0.012947) Loss: 0.29733 (0.33715) +2025-08-23,10:24:49 | INFO | Train Epoch: 7 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.31381 (0.32392) Boundary_loss: 0.012912 (0.012946) Loss: 0.32672 (0.33686) +2025-08-23,10:25:54 | INFO | Train Epoch: 7 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.36079 (0.32491) Boundary_loss: 0.013029 (0.012948) Loss: 0.37382 (0.33786) +2025-08-23,10:26:59 | INFO | Train Epoch: 7 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.30063 (0.32427) Boundary_loss: 0.012988 (0.012949) Loss: 0.31362 (0.33722) +2025-08-23,10:28:03 | INFO | Train Epoch: 7 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.29596 (0.32355) Boundary_loss: 0.012946 (0.012949) Loss: 0.30890 (0.33650) +2025-08-23,10:29:08 | INFO | Train Epoch: 7 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.33194 (0.32376) Boundary_loss: 0.012895 (0.012948) Loss: 0.34483 (0.33671) +2025-08-23,10:30:13 | INFO | Train Epoch: 7 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.31990 (0.32366) Boundary_loss: 0.012980 (0.012949) Loss: 0.33288 (0.33661) +2025-08-23,10:31:18 | INFO | Train Epoch: 7 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.32102 (0.32360) Boundary_loss: 0.012841 (0.012946) Loss: 0.33386 (0.33655) +2025-08-23,10:32:23 | INFO | Train Epoch: 7 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.31494 (0.32340) Boundary_loss: 0.012996 (0.012947) Loss: 0.32794 (0.33635) +2025-08-23,10:33:28 | INFO | Train Epoch: 7 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.38813 (0.32487) Boundary_loss: 0.013100 (0.012951) Loss: 0.40123 (0.33782) +2025-08-23,10:34:32 | INFO | Train Epoch: 7 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.26042 (0.32344) Boundary_loss: 0.012902 (0.012950) Loss: 0.27332 (0.33639) +2025-08-23,10:35:37 | INFO | Train Epoch: 7 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.30719 (0.32309) Boundary_loss: 0.012930 (0.012949) Loss: 0.32012 (0.33603) +2025-08-23,10:36:42 | INFO | Train Epoch: 7 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.28562 (0.32229) Boundary_loss: 0.012978 (0.012950) Loss: 0.29859 (0.33524) +2025-08-23,10:37:47 | INFO | Train Epoch: 7 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.40945 (0.32410) Boundary_loss: 0.013047 (0.012952) Loss: 0.42250 (0.33706) +2025-08-23,10:38:52 | INFO | Train Epoch: 7 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.621 Boundary Ratio: 0.100 Contrastive_loss: 0.34353 (0.32450) Boundary_loss: 0.013015 (0.012953) Loss: 0.35655 (0.33745) +2025-08-23,10:39:57 | INFO | Train Epoch: 7 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.33001 (0.32461) Boundary_loss: 0.013001 (0.012954) Loss: 0.34301 (0.33756) +2025-08-23,10:41:01 | INFO | Train Epoch: 7 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.37019 (0.32550) Boundary_loss: 0.013040 (0.012956) Loss: 0.38324 (0.33846) +2025-08-23,10:42:06 | INFO | Train Epoch: 7 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.28978 (0.32482) Boundary_loss: 0.013032 (0.012957) Loss: 0.30281 (0.33777) +2025-08-23,10:43:11 | INFO | Train Epoch: 7 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.30460 (0.32444) Boundary_loss: 0.012866 (0.012956) Loss: 0.31747 (0.33739) +2025-08-23,10:44:16 | INFO | Train Epoch: 7 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.32669 (0.32448) Boundary_loss: 0.012970 (0.012956) Loss: 0.33966 (0.33743) +2025-08-23,10:45:21 | INFO | Train Epoch: 7 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.24620 (0.32305) Boundary_loss: 0.013045 (0.012957) Loss: 0.25924 (0.33601) +2025-08-23,10:46:26 | INFO | Train Epoch: 7 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.25771 (0.32189) Boundary_loss: 0.012878 (0.012956) Loss: 0.27059 (0.33484) +2025-08-23,10:47:30 | INFO | Train Epoch: 7 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.29664 (0.32144) Boundary_loss: 0.013035 (0.012957) Loss: 0.30968 (0.33440) +2025-08-23,10:48:35 | INFO | Train Epoch: 7 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.33668 (0.32171) Boundary_loss: 0.012975 (0.012958) Loss: 0.34966 (0.33467) +2025-08-23,10:49:40 | INFO | Train Epoch: 7 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.31792 (0.32164) Boundary_loss: 0.012825 (0.012956) Loss: 0.33074 (0.33460) +2025-08-23,10:50:45 | INFO | Train Epoch: 7 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.31862 (0.32159) Boundary_loss: 0.012904 (0.012955) Loss: 0.33153 (0.33455) +2025-08-23,10:51:50 | INFO | Train Epoch: 7 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.36828 (0.32236) Boundary_loss: 0.012920 (0.012954) Loss: 0.38120 (0.33531) +2025-08-23,10:52:55 | INFO | Train Epoch: 7 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.35506 (0.32289) Boundary_loss: 0.012972 (0.012954) Loss: 0.36803 (0.33584) +2025-08-23,10:54:00 | INFO | Train Epoch: 7 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.35222 (0.32335) Boundary_loss: 0.012956 (0.012954) Loss: 0.36517 (0.33631) +2025-08-23,10:55:05 | INFO | Train Epoch: 7 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.38123 (0.32426) Boundary_loss: 0.013010 (0.012955) Loss: 0.39424 (0.33721) +2025-08-23,10:56:09 | INFO | Train Epoch: 7 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.44123 (0.32605) Boundary_loss: 0.013018 (0.012956) Loss: 0.45424 (0.33901) +2025-08-23,10:57:14 | INFO | Train Epoch: 7 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.525 Boundary Ratio: 0.100 Contrastive_loss: 0.26866 (0.32519) Boundary_loss: 0.012892 (0.012955) Loss: 0.28156 (0.33814) +2025-08-23,10:58:19 | INFO | Train Epoch: 7 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.32349 (0.32516) Boundary_loss: 0.012921 (0.012955) Loss: 0.33641 (0.33811) +2025-08-23,10:59:24 | INFO | Train Epoch: 7 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.33917 (0.32537) Boundary_loss: 0.012899 (0.012954) Loss: 0.35207 (0.33832) +2025-08-23,11:00:29 | INFO | Train Epoch: 7 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.25549 (0.32435) Boundary_loss: 0.012935 (0.012954) Loss: 0.26842 (0.33731) +2025-08-23,11:01:34 | INFO | Train Epoch: 7 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.27241 (0.32361) Boundary_loss: 0.013001 (0.012954) Loss: 0.28541 (0.33657) +2025-08-23,11:02:39 | INFO | Train Epoch: 7 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.645 Boundary Ratio: 0.100 Contrastive_loss: 0.36431 (0.32418) Boundary_loss: 0.012978 (0.012955) Loss: 0.37729 (0.33714) +2025-08-23,11:03:44 | INFO | Train Epoch: 7 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.40078 (0.32525) Boundary_loss: 0.012912 (0.012954) Loss: 0.41369 (0.33820) +2025-08-23,11:04:49 | INFO | Train Epoch: 7 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.34326 (0.32550) Boundary_loss: 0.012971 (0.012954) Loss: 0.35623 (0.33845) +2025-08-23,11:05:54 | INFO | Train Epoch: 7 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.31492 (0.32535) Boundary_loss: 0.012956 (0.012954) Loss: 0.32788 (0.33831) +2025-08-23,11:06:58 | INFO | Train Epoch: 7 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.33377 (0.32546) Boundary_loss: 0.013032 (0.012955) Loss: 0.34680 (0.33842) +2025-08-23,11:08:03 | INFO | Train Epoch: 7 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.26504 (0.32467) Boundary_loss: 0.012900 (0.012955) Loss: 0.27794 (0.33762) +2025-08-23,11:09:08 | INFO | Train Epoch: 7 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.34104 (0.32488) Boundary_loss: 0.012852 (0.012953) Loss: 0.35389 (0.33784) +2025-08-23,11:10:13 | INFO | Train Epoch: 7 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.38178 (0.32561) Boundary_loss: 0.012883 (0.012952) Loss: 0.39466 (0.33856) +2025-08-23,11:11:18 | INFO | Train Epoch: 7 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.35426 (0.32597) Boundary_loss: 0.012891 (0.012952) Loss: 0.36715 (0.33893) +2025-08-23,11:12:23 | INFO | Train Epoch: 7 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.31514 (0.32584) Boundary_loss: 0.012918 (0.012951) Loss: 0.32806 (0.33879) +2025-08-23,11:13:28 | INFO | Train Epoch: 7 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.32046 (0.32577) Boundary_loss: 0.012902 (0.012951) Loss: 0.33336 (0.33872) +2025-08-23,11:14:33 | INFO | Train Epoch: 7 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.32656 (0.32578) Boundary_loss: 0.012854 (0.012949) Loss: 0.33941 (0.33873) +2025-08-23,11:15:37 | INFO | Train Epoch: 7 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.33540 (0.32590) Boundary_loss: 0.012908 (0.012949) Loss: 0.34831 (0.33885) +2025-08-23,11:16:42 | INFO | Train Epoch: 7 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.29510 (0.32553) Boundary_loss: 0.012942 (0.012949) Loss: 0.30804 (0.33848) +2025-08-23,11:17:47 | INFO | Train Epoch: 7 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 18.988 Boundary Ratio: 0.097 Contrastive_loss: 0.26084 (0.32477) Boundary_loss: 0.012921 (0.012949) Loss: 0.27376 (0.33772) +2025-08-23,11:18:52 | INFO | Train Epoch: 7 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.30624 (0.32455) Boundary_loss: 0.012954 (0.012949) Loss: 0.31919 (0.33750) +2025-08-23,11:19:57 | INFO | Train Epoch: 7 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.39506 (0.32536) Boundary_loss: 0.012892 (0.012948) Loss: 0.40795 (0.33831) +2025-08-23,11:21:02 | INFO | Train Epoch: 7 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.28787 (0.32494) Boundary_loss: 0.013028 (0.012949) Loss: 0.30090 (0.33789) +2025-08-23,11:22:07 | INFO | Train Epoch: 7 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.35629 (0.32529) Boundary_loss: 0.013071 (0.012950) Loss: 0.36936 (0.33824) +2025-08-23,11:23:12 | INFO | Train Epoch: 7 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.28415 (0.32483) Boundary_loss: 0.013035 (0.012951) Loss: 0.29718 (0.33779) +2025-08-23,11:24:17 | INFO | Train Epoch: 7 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.34069 (0.32501) Boundary_loss: 0.012877 (0.012950) Loss: 0.35357 (0.33796) +2025-08-23,11:25:22 | INFO | Train Epoch: 7 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 18.986 Boundary Ratio: 0.097 Contrastive_loss: 0.29391 (0.32467) Boundary_loss: 0.012948 (0.012950) Loss: 0.30686 (0.33762) +2025-08-23,11:26:27 | INFO | Train Epoch: 7 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.30092 (0.32441) Boundary_loss: 0.012986 (0.012951) Loss: 0.31390 (0.33737) +2025-08-23,11:27:32 | INFO | Train Epoch: 7 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.26800 (0.32381) Boundary_loss: 0.012866 (0.012950) Loss: 0.28086 (0.33676) +2025-08-23,11:28:37 | INFO | Train Epoch: 7 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.28716 (0.32343) Boundary_loss: 0.012904 (0.012949) Loss: 0.30006 (0.33638) +2025-08-23,11:29:42 | INFO | Train Epoch: 7 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.33111 (0.32351) Boundary_loss: 0.012921 (0.012949) Loss: 0.34403 (0.33646) +2025-08-23,11:30:47 | INFO | Train Epoch: 7 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.28964 (0.32316) Boundary_loss: 0.012889 (0.012948) Loss: 0.30253 (0.33611) +2025-08-23,11:31:52 | INFO | Train Epoch: 7 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.29549 (0.32288) Boundary_loss: 0.012935 (0.012948) Loss: 0.30842 (0.33583) +2025-08-23,11:32:57 | INFO | Train Epoch: 7 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.42021 (0.32386) Boundary_loss: 0.012972 (0.012948) Loss: 0.43318 (0.33681) +2025-08-23,11:34:02 | INFO | Train Epoch: 7 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.29168 (0.32354) Boundary_loss: 0.012893 (0.012948) Loss: 0.30457 (0.33649) +2025-08-23,11:35:07 | INFO | Train Epoch: 7 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.30390 (0.32334) Boundary_loss: 0.012871 (0.012947) Loss: 0.31677 (0.33629) +2025-08-23,11:36:12 | INFO | Train Epoch: 7 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.627 Boundary Ratio: 0.100 Contrastive_loss: 0.35277 (0.32363) Boundary_loss: 0.013065 (0.012948) Loss: 0.36583 (0.33658) +2025-08-23,11:37:17 | INFO | Train Epoch: 7 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.28411 (0.32325) Boundary_loss: 0.012919 (0.012948) Loss: 0.29702 (0.33620) +2025-08-23,11:38:22 | INFO | Train Epoch: 7 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.26599 (0.32270) Boundary_loss: 0.013042 (0.012949) Loss: 0.27903 (0.33565) +2025-08-23,11:39:27 | INFO | Train Epoch: 7 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.592 Boundary Ratio: 0.100 Contrastive_loss: 0.29968 (0.32248) Boundary_loss: 0.012977 (0.012949) Loss: 0.31266 (0.33543) +2025-08-23,11:40:32 | INFO | Train Epoch: 7 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.30825 (0.32234) Boundary_loss: 0.012966 (0.012949) Loss: 0.32122 (0.33529) +2025-08-23,11:41:37 | INFO | Train Epoch: 7 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.31632 (0.32229) Boundary_loss: 0.012914 (0.012949) Loss: 0.32924 (0.33524) +2025-08-23,11:42:41 | INFO | Train Epoch: 7 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.29597 (0.32204) Boundary_loss: 0.012998 (0.012949) Loss: 0.30897 (0.33499) +2025-08-23,11:43:46 | INFO | Train Epoch: 7 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.28730 (0.32173) Boundary_loss: 0.013047 (0.012950) Loss: 0.30035 (0.33468) +2025-08-23,11:44:51 | INFO | Train Epoch: 7 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.33169 (0.32182) Boundary_loss: 0.013008 (0.012951) Loss: 0.34469 (0.33477) +2025-08-23,11:45:56 | INFO | Train Epoch: 7 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.33449 (0.32193) Boundary_loss: 0.012923 (0.012951) Loss: 0.34742 (0.33488) +2025-08-23,11:47:01 | INFO | Train Epoch: 7 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.26944 (0.32146) Boundary_loss: 0.012967 (0.012951) Loss: 0.28241 (0.33441) +2025-08-23,11:48:06 | INFO | Train Epoch: 7 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.34660 (0.32168) Boundary_loss: 0.012976 (0.012951) Loss: 0.35957 (0.33464) +2025-08-23,11:49:11 | INFO | Train Epoch: 7 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.29732 (0.32147) Boundary_loss: 0.012870 (0.012950) Loss: 0.31019 (0.33442) +2025-08-23,11:50:16 | INFO | Train Epoch: 7 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 18.922 Boundary Ratio: 0.097 Contrastive_loss: 0.39458 (0.32211) Boundary_loss: 0.013025 (0.012951) Loss: 0.40761 (0.33506) +2025-08-23,11:51:21 | INFO | Train Epoch: 7 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.34926 (0.32234) Boundary_loss: 0.012883 (0.012950) Loss: 0.36214 (0.33529) +2025-08-23,11:52:26 | INFO | Train Epoch: 7 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 18.947 Boundary Ratio: 0.097 Contrastive_loss: 0.35848 (0.32265) Boundary_loss: 0.012980 (0.012951) Loss: 0.37146 (0.33560) +2025-08-23,11:53:31 | INFO | Train Epoch: 7 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.37187 (0.32307) Boundary_loss: 0.012954 (0.012951) Loss: 0.38483 (0.33602) +2025-08-23,11:54:36 | INFO | Train Epoch: 7 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.27447 (0.32266) Boundary_loss: 0.012950 (0.012951) Loss: 0.28742 (0.33561) +2025-08-23,11:55:41 | INFO | Train Epoch: 7 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.43456 (0.32359) Boundary_loss: 0.012955 (0.012951) Loss: 0.44752 (0.33654) +2025-08-23,11:56:46 | INFO | Train Epoch: 7 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.30757 (0.32346) Boundary_loss: 0.012991 (0.012951) Loss: 0.32056 (0.33641) +2025-08-23,11:57:51 | INFO | Train Epoch: 7 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.29800 (0.32325) Boundary_loss: 0.012901 (0.012951) Loss: 0.31090 (0.33620) +2025-08-23,11:58:56 | INFO | Train Epoch: 7 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.37047 (0.32363) Boundary_loss: 0.013056 (0.012951) Loss: 0.38353 (0.33659) +2025-08-23,12:00:01 | INFO | Train Epoch: 7 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.32228 (0.32362) Boundary_loss: 0.013045 (0.012952) Loss: 0.33532 (0.33658) +2025-08-23,12:01:06 | INFO | Train Epoch: 7 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.28141 (0.32329) Boundary_loss: 0.012990 (0.012953) Loss: 0.29440 (0.33624) +2025-08-23,12:02:11 | INFO | Train Epoch: 7 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.32078 (0.32327) Boundary_loss: 0.012938 (0.012952) Loss: 0.33372 (0.33622) +2025-08-23,12:03:16 | INFO | Train Epoch: 7 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.34317 (0.32342) Boundary_loss: 0.012928 (0.012952) Loss: 0.35610 (0.33637) +2025-08-23,12:04:21 | INFO | Train Epoch: 7 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.28874 (0.32315) Boundary_loss: 0.012941 (0.012952) Loss: 0.30168 (0.33610) +2025-08-23,12:05:26 | INFO | Train Epoch: 7 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.31038 (0.32305) Boundary_loss: 0.012960 (0.012952) Loss: 0.32335 (0.33600) +2025-08-23,12:06:31 | INFO | Train Epoch: 7 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 0.31961 (0.32303) Boundary_loss: 0.012976 (0.012952) Loss: 0.33259 (0.33598) +2025-08-23,12:07:36 | INFO | Train Epoch: 7 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.22334 (0.32226) Boundary_loss: 0.012917 (0.012952) Loss: 0.23626 (0.33522) +2025-08-23,12:08:41 | INFO | Train Epoch: 7 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.30250 (0.32212) Boundary_loss: 0.012893 (0.012952) Loss: 0.31539 (0.33507) +2025-08-23,12:09:46 | INFO | Train Epoch: 7 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.28686 (0.32185) Boundary_loss: 0.012904 (0.012951) Loss: 0.29976 (0.33480) +2025-08-23,12:10:51 | INFO | Train Epoch: 7 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.32829 (0.32190) Boundary_loss: 0.012846 (0.012951) Loss: 0.34114 (0.33485) +2025-08-23,12:11:56 | INFO | Train Epoch: 7 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.615 Boundary Ratio: 0.100 Contrastive_loss: 0.34031 (0.32203) Boundary_loss: 0.013003 (0.012951) Loss: 0.35332 (0.33499) +2025-08-23,12:13:01 | INFO | Train Epoch: 7 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.26690 (0.32163) Boundary_loss: 0.012882 (0.012950) Loss: 0.27978 (0.33458) +2025-08-23,12:14:06 | INFO | Train Epoch: 7 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.33353 (0.32172) Boundary_loss: 0.012859 (0.012950) Loss: 0.34639 (0.33467) +2025-08-23,12:15:11 | INFO | Train Epoch: 7 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 18.961 Boundary Ratio: 0.097 Contrastive_loss: 0.30049 (0.32156) Boundary_loss: 0.012953 (0.012950) Loss: 0.31344 (0.33451) +2025-08-23,12:16:16 | INFO | Train Epoch: 7 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.36977 (0.32191) Boundary_loss: 0.012910 (0.012949) Loss: 0.38268 (0.33486) +2025-08-23,12:17:21 | INFO | Train Epoch: 7 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.23774 (0.32131) Boundary_loss: 0.012903 (0.012949) Loss: 0.25064 (0.33426) +2025-08-23,12:18:26 | INFO | Train Epoch: 7 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.30528 (0.32119) Boundary_loss: 0.012895 (0.012949) Loss: 0.31818 (0.33414) +2025-08-23,12:19:31 | INFO | Train Epoch: 7 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.39377 (0.32171) Boundary_loss: 0.012907 (0.012948) Loss: 0.40668 (0.33465) +2025-08-23,12:20:36 | INFO | Train Epoch: 7 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.31565 (0.32166) Boundary_loss: 0.012867 (0.012948) Loss: 0.32851 (0.33461) +2025-08-23,12:21:41 | INFO | Train Epoch: 7 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.656 Boundary Ratio: 0.100 Contrastive_loss: 0.28731 (0.32142) Boundary_loss: 0.012919 (0.012948) Loss: 0.30023 (0.33437) +2025-08-23,12:22:46 | INFO | Train Epoch: 7 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.29093 (0.32121) Boundary_loss: 0.012975 (0.012948) Loss: 0.30391 (0.33416) +2025-08-23,12:23:51 | INFO | Train Epoch: 7 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.33171 (0.32129) Boundary_loss: 0.012914 (0.012948) Loss: 0.34462 (0.33423) +2025-08-23,12:24:56 | INFO | Train Epoch: 7 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.45629 (0.32220) Boundary_loss: 0.013024 (0.012948) Loss: 0.46932 (0.33515) +2025-08-23,12:26:01 | INFO | Train Epoch: 7 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.27233 (0.32187) Boundary_loss: 0.013016 (0.012949) Loss: 0.28534 (0.33482) +2025-08-23,12:27:06 | INFO | Train Epoch: 7 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.28850 (0.32164) Boundary_loss: 0.012955 (0.012949) Loss: 0.30146 (0.33459) +2025-08-23,12:28:11 | INFO | Train Epoch: 7 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.30259 (0.32152) Boundary_loss: 0.012877 (0.012948) Loss: 0.31547 (0.33446) +2025-08-23,12:29:16 | INFO | Train Epoch: 7 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.32134 (0.32152) Boundary_loss: 0.012959 (0.012948) Loss: 0.33430 (0.33446) +2025-08-23,12:30:21 | INFO | Train Epoch: 7 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.26720 (0.32116) Boundary_loss: 0.012964 (0.012948) Loss: 0.28017 (0.33411) +2025-08-23,12:31:26 | INFO | Train Epoch: 7 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.31146 (0.32109) Boundary_loss: 0.013001 (0.012949) Loss: 0.32446 (0.33404) +2025-08-23,12:32:31 | INFO | Train Epoch: 7 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.31123 (0.32103) Boundary_loss: 0.013051 (0.012949) Loss: 0.32428 (0.33398) +2025-08-23,12:33:36 | INFO | Train Epoch: 7 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.30359 (0.32092) Boundary_loss: 0.012947 (0.012949) Loss: 0.31654 (0.33387) +2025-08-23,12:34:41 | INFO | Train Epoch: 7 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.30823 (0.32084) Boundary_loss: 0.013028 (0.012950) Loss: 0.32126 (0.33379) +2025-08-23,12:35:46 | INFO | Train Epoch: 7 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.30433 (0.32073) Boundary_loss: 0.012869 (0.012949) Loss: 0.31720 (0.33368) +2025-08-23,12:36:51 | INFO | Train Epoch: 7 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.29017 (0.32054) Boundary_loss: 0.012836 (0.012949) Loss: 0.30300 (0.33349) +2025-08-23,12:37:56 | INFO | Train Epoch: 7 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.28141 (0.32029) Boundary_loss: 0.012900 (0.012948) Loss: 0.29431 (0.33324) +2025-08-23,12:39:01 | INFO | Train Epoch: 7 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 18.789 Boundary Ratio: 0.096 Contrastive_loss: 0.43338 (0.32100) Boundary_loss: 0.012959 (0.012948) Loss: 0.44634 (0.33395) +2025-08-23,12:40:06 | INFO | Train Epoch: 7 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.37689 (0.32135) Boundary_loss: 0.012934 (0.012948) Loss: 0.38982 (0.33429) +2025-08-23,12:41:11 | INFO | Train Epoch: 7 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.32152 (0.32135) Boundary_loss: 0.012906 (0.012948) Loss: 0.33442 (0.33429) +2025-08-23,12:42:16 | INFO | Train Epoch: 7 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.31299 (0.32130) Boundary_loss: 0.012912 (0.012948) Loss: 0.32591 (0.33424) +2025-08-23,12:43:21 | INFO | Train Epoch: 7 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.33462 (0.32138) Boundary_loss: 0.012822 (0.012947) Loss: 0.34744 (0.33432) +2025-08-23,12:44:26 | INFO | Train Epoch: 7 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.38772 (0.32178) Boundary_loss: 0.012916 (0.012947) Loss: 0.40063 (0.33473) +2025-08-23,12:45:31 | INFO | Train Epoch: 7 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.24969 (0.32134) Boundary_loss: 0.012953 (0.012947) Loss: 0.26265 (0.33429) +2025-08-23,12:46:36 | INFO | Train Epoch: 7 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.30694 (0.32126) Boundary_loss: 0.012947 (0.012947) Loss: 0.31988 (0.33421) +2025-08-23,12:47:41 | INFO | Train Epoch: 7 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 18.869 Boundary Ratio: 0.096 Contrastive_loss: 0.32586 (0.32129) Boundary_loss: 0.013053 (0.012948) Loss: 0.33891 (0.33423) +2025-08-23,12:48:46 | INFO | Train Epoch: 7 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.37516 (0.32160) Boundary_loss: 0.012847 (0.012947) Loss: 0.38801 (0.33455) +2025-08-23,12:49:51 | INFO | Train Epoch: 7 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.32876 (0.32165) Boundary_loss: 0.013018 (0.012947) Loss: 0.34178 (0.33459) +2025-08-23,12:50:56 | INFO | Train Epoch: 7 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.25196 (0.32124) Boundary_loss: 0.012892 (0.012947) Loss: 0.26486 (0.33419) +2025-08-23,12:52:01 | INFO | Train Epoch: 7 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 18.936 Boundary Ratio: 0.097 Contrastive_loss: 0.23000 (0.32071) Boundary_loss: 0.012925 (0.012947) Loss: 0.24293 (0.33366) +2025-08-23,12:53:06 | INFO | Train Epoch: 7 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.36894 (0.32099) Boundary_loss: 0.012903 (0.012947) Loss: 0.38184 (0.33393) +2025-08-23,12:54:11 | INFO | Train Epoch: 7 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.31936 (0.32098) Boundary_loss: 0.012996 (0.012947) Loss: 0.33235 (0.33393) +2025-08-23,12:55:16 | INFO | Train Epoch: 7 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.29423 (0.32083) Boundary_loss: 0.012982 (0.012947) Loss: 0.30721 (0.33377) +2025-08-23,12:56:21 | INFO | Train Epoch: 7 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.32307 (0.32084) Boundary_loss: 0.012929 (0.012947) Loss: 0.33600 (0.33379) +2025-08-23,12:57:26 | INFO | Train Epoch: 7 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.31255 (0.32079) Boundary_loss: 0.012926 (0.012947) Loss: 0.32548 (0.33374) +2025-08-23,12:58:31 | INFO | Train Epoch: 7 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.28277 (0.32058) Boundary_loss: 0.012878 (0.012947) Loss: 0.29565 (0.33352) +2025-08-23,12:59:36 | INFO | Train Epoch: 7 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.28574 (0.32038) Boundary_loss: 0.012937 (0.012946) Loss: 0.29868 (0.33333) +2025-08-23,13:00:40 | INFO | Train Epoch: 7 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.24596 (0.31997) Boundary_loss: 0.012903 (0.012946) Loss: 0.25886 (0.33292) +2025-08-23,13:01:45 | INFO | Train Epoch: 7 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.35863 (0.32018) Boundary_loss: 0.012941 (0.012946) Loss: 0.37157 (0.33313) +2025-08-23,13:02:50 | INFO | Train Epoch: 7 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.40951 (0.32067) Boundary_loss: 0.012934 (0.012946) Loss: 0.42244 (0.33362) +2025-08-23,13:03:55 | INFO | Train Epoch: 7 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.30714 (0.32060) Boundary_loss: 0.012992 (0.012946) Loss: 0.32013 (0.33355) +2025-08-23,13:05:00 | INFO | Train Epoch: 7 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.26192 (0.32028) Boundary_loss: 0.012947 (0.012946) Loss: 0.27487 (0.33323) +2025-08-23,13:06:05 | INFO | Train Epoch: 7 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.23519 (0.31982) Boundary_loss: 0.012943 (0.012946) Loss: 0.24813 (0.33277) +2025-08-23,13:07:10 | INFO | Train Epoch: 7 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.30891 (0.31976) Boundary_loss: 0.012840 (0.012946) Loss: 0.32176 (0.33271) +2025-08-23,13:08:15 | INFO | Train Epoch: 7 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.34436 (0.31989) Boundary_loss: 0.013026 (0.012946) Loss: 0.35738 (0.33284) +2025-08-23,13:09:20 | INFO | Train Epoch: 7 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.31111 (0.31985) Boundary_loss: 0.012849 (0.012946) Loss: 0.32396 (0.33279) +2025-08-23,13:10:25 | INFO | Train Epoch: 7 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.33743 (0.31994) Boundary_loss: 0.012836 (0.012945) Loss: 0.35027 (0.33289) +2025-08-23,13:11:30 | INFO | Train Epoch: 7 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.36773 (0.32019) Boundary_loss: 0.012923 (0.012945) Loss: 0.38066 (0.33314) +2025-08-23,13:12:35 | INFO | Train Epoch: 7 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.35155 (0.32036) Boundary_loss: 0.012899 (0.012945) Loss: 0.36445 (0.33330) +2025-08-23,13:13:40 | INFO | Train Epoch: 7 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.26955 (0.32009) Boundary_loss: 0.012916 (0.012945) Loss: 0.28247 (0.33304) +2025-08-23,13:14:45 | INFO | Train Epoch: 7 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.37014 (0.32035) Boundary_loss: 0.012935 (0.012945) Loss: 0.38308 (0.33330) +2025-08-23,13:15:50 | INFO | Train Epoch: 7 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.33734 (0.32044) Boundary_loss: 0.012948 (0.012945) Loss: 0.35029 (0.33338) +2025-08-23,13:16:55 | INFO | Train Epoch: 7 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.28820 (0.32027) Boundary_loss: 0.013036 (0.012945) Loss: 0.30124 (0.33322) +2025-08-23,13:18:00 | INFO | Train Epoch: 7 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.33252 (0.32034) Boundary_loss: 0.012952 (0.012945) Loss: 0.34547 (0.33328) +2025-08-23,13:19:05 | INFO | Train Epoch: 7 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.33735 (0.32042) Boundary_loss: 0.012927 (0.012945) Loss: 0.35028 (0.33337) +2025-08-23,13:20:10 | INFO | Train Epoch: 7 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.30147 (0.32033) Boundary_loss: 0.012964 (0.012945) Loss: 0.31443 (0.33327) +2025-08-23,13:21:15 | INFO | Train Epoch: 7 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.36860 (0.32057) Boundary_loss: 0.012865 (0.012945) Loss: 0.38147 (0.33351) +2025-08-23,13:22:20 | INFO | Train Epoch: 7 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.28958 (0.32041) Boundary_loss: 0.012891 (0.012944) Loss: 0.30247 (0.33336) +2025-08-23,13:23:25 | INFO | Train Epoch: 7 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.30063 (0.32032) Boundary_loss: 0.012884 (0.012944) Loss: 0.31351 (0.33326) +2025-08-23,13:24:30 | INFO | Train Epoch: 7 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.37118 (0.32057) Boundary_loss: 0.012948 (0.012944) Loss: 0.38413 (0.33351) +2025-08-23,13:25:35 | INFO | Train Epoch: 7 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.31042 (0.32052) Boundary_loss: 0.012955 (0.012944) Loss: 0.32338 (0.33346) +2025-08-23,13:26:40 | INFO | Train Epoch: 7 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.31413 (0.32049) Boundary_loss: 0.012933 (0.012944) Loss: 0.32706 (0.33343) +2025-08-23,13:27:45 | INFO | Train Epoch: 7 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.28021 (0.32029) Boundary_loss: 0.012899 (0.012944) Loss: 0.29311 (0.33323) +2025-08-23,13:28:50 | INFO | Train Epoch: 7 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.31677 (0.32027) Boundary_loss: 0.012887 (0.012944) Loss: 0.32966 (0.33322) +2025-08-23,13:29:55 | INFO | Train Epoch: 7 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.27915 (0.32007) Boundary_loss: 0.013017 (0.012944) Loss: 0.29217 (0.33302) +2025-08-23,13:31:00 | INFO | Train Epoch: 7 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.34252 (0.32018) Boundary_loss: 0.012890 (0.012944) Loss: 0.35541 (0.33313) +2025-08-23,13:32:05 | INFO | Train Epoch: 7 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.25125 (0.31985) Boundary_loss: 0.012983 (0.012944) Loss: 0.26423 (0.33280) +2025-08-23,13:33:10 | INFO | Train Epoch: 7 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.29956 (0.31976) Boundary_loss: 0.012924 (0.012944) Loss: 0.31248 (0.33270) +2025-08-23,13:34:15 | INFO | Train Epoch: 7 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.24372 (0.31939) Boundary_loss: 0.012931 (0.012944) Loss: 0.25665 (0.33234) +2025-08-23,13:35:20 | INFO | Train Epoch: 7 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.34368 (0.31951) Boundary_loss: 0.012905 (0.012944) Loss: 0.35658 (0.33245) +2025-08-23,13:36:25 | INFO | Train Epoch: 7 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.29660 (0.31940) Boundary_loss: 0.012867 (0.012943) Loss: 0.30947 (0.33234) +2025-08-23,13:37:30 | INFO | Train Epoch: 7 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.28602 (0.31925) Boundary_loss: 0.012843 (0.012943) Loss: 0.29886 (0.33219) +2025-08-23,13:38:35 | INFO | Train Epoch: 7 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.31443 (0.31922) Boundary_loss: 0.012870 (0.012942) Loss: 0.32730 (0.33217) +2025-08-23,13:39:40 | INFO | Train Epoch: 7 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.27568 (0.31902) Boundary_loss: 0.012924 (0.012942) Loss: 0.28860 (0.33196) +2025-08-23,13:40:45 | INFO | Train Epoch: 7 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.31858 (0.31902) Boundary_loss: 0.012941 (0.012942) Loss: 0.33152 (0.33196) +2025-08-23,13:41:50 | INFO | Train Epoch: 7 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.31162 (0.31899) Boundary_loss: 0.012968 (0.012942) Loss: 0.32459 (0.33193) +2025-08-23,13:42:55 | INFO | Train Epoch: 7 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.29506 (0.31888) Boundary_loss: 0.012930 (0.012942) Loss: 0.30799 (0.33182) +2025-08-23,13:44:00 | INFO | Train Epoch: 7 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.31340 (0.31885) Boundary_loss: 0.012854 (0.012942) Loss: 0.32625 (0.33179) +2025-08-23,13:45:05 | INFO | Train Epoch: 7 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.41273 (0.31928) Boundary_loss: 0.013003 (0.012942) Loss: 0.42574 (0.33222) +2025-08-23,13:46:10 | INFO | Train Epoch: 7 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.34273 (0.31938) Boundary_loss: 0.012955 (0.012942) Loss: 0.35569 (0.33232) +2025-08-23,13:47:15 | INFO | Train Epoch: 7 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 0.29018 (0.31925) Boundary_loss: 0.012897 (0.012942) Loss: 0.30307 (0.33219) +2025-08-23,13:48:20 | INFO | Train Epoch: 7 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.35650 (0.31942) Boundary_loss: 0.012948 (0.012942) Loss: 0.36945 (0.33236) +2025-08-23,13:49:25 | INFO | Train Epoch: 7 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.28483 (0.31926) Boundary_loss: 0.012840 (0.012942) Loss: 0.29767 (0.33221) +2025-08-23,13:50:30 | INFO | Train Epoch: 7 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.25426 (0.31898) Boundary_loss: 0.012949 (0.012942) Loss: 0.26721 (0.33192) +2025-08-23,13:51:35 | INFO | Train Epoch: 7 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.35577 (0.31914) Boundary_loss: 0.013001 (0.012942) Loss: 0.36877 (0.33208) +2025-08-23,13:52:40 | INFO | Train Epoch: 7 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.39661 (0.31948) Boundary_loss: 0.012833 (0.012942) Loss: 0.40945 (0.33242) +2025-08-23,13:53:45 | INFO | Train Epoch: 7 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.27467 (0.31928) Boundary_loss: 0.012921 (0.012941) Loss: 0.28760 (0.33222) +2025-08-23,13:54:50 | INFO | Train Epoch: 7 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.28351 (0.31913) Boundary_loss: 0.012979 (0.012942) Loss: 0.29649 (0.33207) +2025-08-23,13:55:55 | INFO | Train Epoch: 7 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.26447 (0.31889) Boundary_loss: 0.012931 (0.012942) Loss: 0.27740 (0.33183) +2025-08-23,13:57:00 | INFO | Train Epoch: 7 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.31640 (0.31888) Boundary_loss: 0.012970 (0.012942) Loss: 0.32937 (0.33182) +2025-08-23,13:58:05 | INFO | Train Epoch: 7 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.33117 (0.31893) Boundary_loss: 0.012913 (0.012942) Loss: 0.34409 (0.33187) +2025-08-23,13:59:10 | INFO | Train Epoch: 7 [11930112/26365952 (45%)] Avg Boundaries (per batch): 18.920 Boundary Ratio: 0.097 Contrastive_loss: 0.32133 (0.31894) Boundary_loss: 0.012947 (0.012942) Loss: 0.33427 (0.33188) +2025-08-23,14:00:15 | INFO | Train Epoch: 7 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.27396 (0.31875) Boundary_loss: 0.013064 (0.012942) Loss: 0.28702 (0.33169) +2025-08-23,14:01:20 | INFO | Train Epoch: 7 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.31607 (0.31874) Boundary_loss: 0.012914 (0.012942) Loss: 0.32898 (0.33168) +2025-08-23,14:02:25 | INFO | Train Epoch: 7 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.32167 (0.31875) Boundary_loss: 0.012946 (0.012942) Loss: 0.33461 (0.33169) +2025-08-23,14:03:30 | INFO | Train Epoch: 7 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.33029 (0.31880) Boundary_loss: 0.012900 (0.012942) Loss: 0.34319 (0.33174) +2025-08-23,14:04:35 | INFO | Train Epoch: 7 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.33305 (0.31886) Boundary_loss: 0.012923 (0.012942) Loss: 0.34597 (0.33180) +2025-08-23,14:05:40 | INFO | Train Epoch: 7 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.32789 (0.31890) Boundary_loss: 0.012964 (0.012942) Loss: 0.34086 (0.33184) +2025-08-23,14:06:45 | INFO | Train Epoch: 7 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.30343 (0.31883) Boundary_loss: 0.012994 (0.012942) Loss: 0.31642 (0.33178) +2025-08-23,14:07:50 | INFO | Train Epoch: 7 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.38299 (0.31910) Boundary_loss: 0.012902 (0.012942) Loss: 0.39589 (0.33204) +2025-08-23,14:08:54 | INFO | Train Epoch: 7 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.30574 (0.31904) Boundary_loss: 0.012918 (0.012942) Loss: 0.31866 (0.33199) +2025-08-23,14:09:59 | INFO | Train Epoch: 7 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.34779 (0.31916) Boundary_loss: 0.012970 (0.012942) Loss: 0.36076 (0.33210) +2025-08-23,14:11:04 | INFO | Train Epoch: 7 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.30726 (0.31911) Boundary_loss: 0.012845 (0.012941) Loss: 0.32011 (0.33205) +2025-08-23,14:12:09 | INFO | Train Epoch: 7 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.27990 (0.31895) Boundary_loss: 0.012995 (0.012942) Loss: 0.29290 (0.33190) +2025-08-23,14:13:14 | INFO | Train Epoch: 7 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.32832 (0.31899) Boundary_loss: 0.012928 (0.012942) Loss: 0.34125 (0.33193) +2025-08-23,14:14:19 | INFO | Train Epoch: 7 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 0.29830 (0.31891) Boundary_loss: 0.012933 (0.012942) Loss: 0.31123 (0.33185) +2025-08-23,14:15:24 | INFO | Train Epoch: 7 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.33866 (0.31899) Boundary_loss: 0.012893 (0.012941) Loss: 0.35155 (0.33193) +2025-08-23,14:16:29 | INFO | Train Epoch: 7 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.30184 (0.31892) Boundary_loss: 0.012984 (0.012942) Loss: 0.31482 (0.33186) +2025-08-23,14:17:34 | INFO | Train Epoch: 7 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.36696 (0.31911) Boundary_loss: 0.012990 (0.012942) Loss: 0.37995 (0.33205) +2025-08-23,14:18:39 | INFO | Train Epoch: 7 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.22247 (0.31873) Boundary_loss: 0.012842 (0.012941) Loss: 0.23531 (0.33167) +2025-08-23,14:19:44 | INFO | Train Epoch: 7 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.31503 (0.31871) Boundary_loss: 0.012904 (0.012941) Loss: 0.32794 (0.33165) +2025-08-23,14:20:49 | INFO | Train Epoch: 7 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.33709 (0.31878) Boundary_loss: 0.013003 (0.012941) Loss: 0.35010 (0.33173) +2025-08-23,14:21:54 | INFO | Train Epoch: 7 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.30939 (0.31875) Boundary_loss: 0.012997 (0.012942) Loss: 0.32239 (0.33169) +2025-08-23,14:22:59 | INFO | Train Epoch: 7 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.28387 (0.31861) Boundary_loss: 0.013027 (0.012942) Loss: 0.29690 (0.33155) +2025-08-23,14:24:04 | INFO | Train Epoch: 7 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.28521 (0.31848) Boundary_loss: 0.012931 (0.012942) Loss: 0.29814 (0.33142) +2025-08-23,14:25:09 | INFO | Train Epoch: 7 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.023 Boundary Ratio: 0.097 Contrastive_loss: 0.36164 (0.31865) Boundary_loss: 0.012936 (0.012942) Loss: 0.37458 (0.33159) +2025-08-23,14:26:14 | INFO | Train Epoch: 7 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.23902 (0.31834) Boundary_loss: 0.012911 (0.012942) Loss: 0.25193 (0.33128) +2025-08-23,14:27:19 | INFO | Train Epoch: 7 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.34165 (0.31843) Boundary_loss: 0.013001 (0.012942) Loss: 0.35465 (0.33137) +2025-08-23,14:28:24 | INFO | Train Epoch: 7 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.28907 (0.31832) Boundary_loss: 0.013117 (0.012943) Loss: 0.30219 (0.33126) +2025-08-23,14:29:29 | INFO | Train Epoch: 7 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.26135 (0.31810) Boundary_loss: 0.012823 (0.012942) Loss: 0.27417 (0.33104) +2025-08-23,14:30:34 | INFO | Train Epoch: 7 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.34645 (0.31821) Boundary_loss: 0.013020 (0.012943) Loss: 0.35947 (0.33115) +2025-08-23,14:31:39 | INFO | Train Epoch: 7 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.36318 (0.31838) Boundary_loss: 0.012885 (0.012942) Loss: 0.37606 (0.33132) +2025-08-23,14:32:44 | INFO | Train Epoch: 7 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.31254 (0.31836) Boundary_loss: 0.012840 (0.012942) Loss: 0.32538 (0.33130) +2025-08-23,14:33:49 | INFO | Train Epoch: 7 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.29046 (0.31825) Boundary_loss: 0.012944 (0.012942) Loss: 0.30340 (0.33119) +2025-08-23,14:34:54 | INFO | Train Epoch: 7 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.29806 (0.31818) Boundary_loss: 0.012862 (0.012942) Loss: 0.31092 (0.33112) +2025-08-23,14:35:59 | INFO | Train Epoch: 7 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.30137 (0.31811) Boundary_loss: 0.012851 (0.012941) Loss: 0.31422 (0.33106) +2025-08-23,14:37:04 | INFO | Train Epoch: 7 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.31224 (0.31809) Boundary_loss: 0.012808 (0.012941) Loss: 0.32504 (0.33103) +2025-08-23,14:38:10 | INFO | Train Epoch: 7 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.28001 (0.31795) Boundary_loss: 0.012886 (0.012941) Loss: 0.29290 (0.33089) +2025-08-23,14:39:15 | INFO | Train Epoch: 7 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.27102 (0.31778) Boundary_loss: 0.013052 (0.012941) Loss: 0.28407 (0.33072) +2025-08-23,14:40:20 | INFO | Train Epoch: 7 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.34088 (0.31786) Boundary_loss: 0.012968 (0.012941) Loss: 0.35384 (0.33080) +2025-08-23,14:41:25 | INFO | Train Epoch: 7 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.32801 (0.31790) Boundary_loss: 0.012930 (0.012941) Loss: 0.34094 (0.33084) +2025-08-23,14:42:30 | INFO | Train Epoch: 7 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.26930 (0.31772) Boundary_loss: 0.012967 (0.012941) Loss: 0.28227 (0.33066) +2025-08-23,14:43:35 | INFO | Train Epoch: 7 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.38760 (0.31798) Boundary_loss: 0.012932 (0.012941) Loss: 0.40053 (0.33092) +2025-08-23,14:44:40 | INFO | Train Epoch: 7 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.26835 (0.31780) Boundary_loss: 0.012934 (0.012941) Loss: 0.28128 (0.33074) +2025-08-23,14:45:45 | INFO | Train Epoch: 7 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.29562 (0.31772) Boundary_loss: 0.012963 (0.012941) Loss: 0.30858 (0.33066) +2025-08-23,14:46:50 | INFO | Train Epoch: 7 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.27471 (0.31756) Boundary_loss: 0.012883 (0.012941) Loss: 0.28759 (0.33050) +2025-08-23,14:47:55 | INFO | Train Epoch: 7 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.34242 (0.31765) Boundary_loss: 0.012882 (0.012941) Loss: 0.35530 (0.33059) +2025-08-23,14:49:00 | INFO | Train Epoch: 7 [14285312/26365952 (54%)] Avg Boundaries (per batch): 18.936 Boundary Ratio: 0.097 Contrastive_loss: 0.33050 (0.31770) Boundary_loss: 0.012904 (0.012941) Loss: 0.34340 (0.33064) +2025-08-23,14:50:05 | INFO | Train Epoch: 7 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.34187 (0.31778) Boundary_loss: 0.012965 (0.012941) Loss: 0.35484 (0.33072) +2025-08-23,14:51:10 | INFO | Train Epoch: 7 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.33484 (0.31784) Boundary_loss: 0.012955 (0.012941) Loss: 0.34780 (0.33078) +2025-08-23,14:52:15 | INFO | Train Epoch: 7 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.28608 (0.31773) Boundary_loss: 0.012985 (0.012941) Loss: 0.29906 (0.33067) +2025-08-23,14:53:20 | INFO | Train Epoch: 7 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.37960 (0.31795) Boundary_loss: 0.012878 (0.012941) Loss: 0.39247 (0.33089) +2025-08-23,14:54:25 | INFO | Train Epoch: 7 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.33417 (0.31801) Boundary_loss: 0.012985 (0.012941) Loss: 0.34715 (0.33095) +2025-08-23,14:55:30 | INFO | Train Epoch: 7 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.27326 (0.31785) Boundary_loss: 0.012944 (0.012941) Loss: 0.28621 (0.33079) +2025-08-23,14:56:35 | INFO | Train Epoch: 7 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.29363 (0.31777) Boundary_loss: 0.012970 (0.012941) Loss: 0.30660 (0.33071) +2025-08-23,14:57:40 | INFO | Train Epoch: 7 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.25335 (0.31754) Boundary_loss: 0.012821 (0.012941) Loss: 0.26617 (0.33048) +2025-08-23,14:58:45 | INFO | Train Epoch: 7 [14746112/26365952 (56%)] Avg Boundaries (per batch): 18.969 Boundary Ratio: 0.097 Contrastive_loss: 0.30755 (0.31751) Boundary_loss: 0.012891 (0.012940) Loss: 0.32044 (0.33045) +2025-08-23,14:59:50 | INFO | Train Epoch: 7 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.32587 (0.31754) Boundary_loss: 0.012940 (0.012940) Loss: 0.33881 (0.33048) +2025-08-23,15:00:55 | INFO | Train Epoch: 7 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.28215 (0.31741) Boundary_loss: 0.012961 (0.012940) Loss: 0.29511 (0.33035) +2025-08-23,15:02:00 | INFO | Train Epoch: 7 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.29206 (0.31733) Boundary_loss: 0.012974 (0.012941) Loss: 0.30503 (0.33027) +2025-08-23,15:03:05 | INFO | Train Epoch: 7 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.32127 (0.31734) Boundary_loss: 0.012989 (0.012941) Loss: 0.33426 (0.33028) +2025-08-23,15:04:10 | INFO | Train Epoch: 7 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.38278 (0.31756) Boundary_loss: 0.012954 (0.012941) Loss: 0.39573 (0.33050) +2025-08-23,15:05:15 | INFO | Train Epoch: 7 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.29524 (0.31749) Boundary_loss: 0.012934 (0.012941) Loss: 0.30817 (0.33043) +2025-08-23,15:06:20 | INFO | Train Epoch: 7 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.36560 (0.31765) Boundary_loss: 0.012984 (0.012941) Loss: 0.37859 (0.33059) +2025-08-23,15:07:25 | INFO | Train Epoch: 7 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.30980 (0.31762) Boundary_loss: 0.012883 (0.012941) Loss: 0.32269 (0.33056) +2025-08-23,15:08:30 | INFO | Train Epoch: 7 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.32453 (0.31765) Boundary_loss: 0.012946 (0.012941) Loss: 0.33747 (0.33059) +2025-08-23,15:09:35 | INFO | Train Epoch: 7 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.32977 (0.31769) Boundary_loss: 0.013038 (0.012941) Loss: 0.34281 (0.33063) +2025-08-23,15:10:40 | INFO | Train Epoch: 7 [15309312/26365952 (58%)] Avg Boundaries (per batch): 18.982 Boundary Ratio: 0.097 Contrastive_loss: 0.30425 (0.31764) Boundary_loss: 0.012833 (0.012941) Loss: 0.31708 (0.33058) +2025-08-23,15:11:45 | INFO | Train Epoch: 7 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.31171 (0.31762) Boundary_loss: 0.012822 (0.012940) Loss: 0.32453 (0.33056) +2025-08-23,15:12:50 | INFO | Train Epoch: 7 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.32185 (0.31764) Boundary_loss: 0.012902 (0.012940) Loss: 0.33475 (0.33058) +2025-08-23,15:13:55 | INFO | Train Epoch: 7 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.27356 (0.31749) Boundary_loss: 0.012914 (0.012940) Loss: 0.28647 (0.33043) +2025-08-23,15:15:00 | INFO | Train Epoch: 7 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.33361 (0.31754) Boundary_loss: 0.012840 (0.012940) Loss: 0.34645 (0.33048) +2025-08-23,15:16:05 | INFO | Train Epoch: 7 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.34807 (0.31764) Boundary_loss: 0.012898 (0.012940) Loss: 0.36097 (0.33058) +2025-08-23,15:17:10 | INFO | Train Epoch: 7 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.36170 (0.31779) Boundary_loss: 0.012962 (0.012940) Loss: 0.37466 (0.33073) +2025-08-23,15:18:14 | INFO | Train Epoch: 7 [15667712/26365952 (59%)] Avg Boundaries (per batch): 18.979 Boundary Ratio: 0.097 Contrastive_loss: 0.42263 (0.31813) Boundary_loss: 0.012914 (0.012940) Loss: 0.43554 (0.33107) +2025-08-23,15:19:19 | INFO | Train Epoch: 7 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.25576 (0.31793) Boundary_loss: 0.012781 (0.012939) Loss: 0.26854 (0.33087) +2025-08-23,15:20:24 | INFO | Train Epoch: 7 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.34443 (0.31801) Boundary_loss: 0.012944 (0.012939) Loss: 0.35737 (0.33095) +2025-08-23,15:21:29 | INFO | Train Epoch: 7 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.33214 (0.31806) Boundary_loss: 0.012805 (0.012939) Loss: 0.34495 (0.33100) +2025-08-23,15:22:35 | INFO | Train Epoch: 7 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.34021 (0.31813) Boundary_loss: 0.012974 (0.012939) Loss: 0.35318 (0.33107) +2025-08-23,15:23:40 | INFO | Train Epoch: 7 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.29401 (0.31805) Boundary_loss: 0.012910 (0.012939) Loss: 0.30692 (0.33099) +2025-08-23,15:24:45 | INFO | Train Epoch: 7 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.32357 (0.31807) Boundary_loss: 0.012944 (0.012939) Loss: 0.33651 (0.33101) +2025-08-23,15:25:50 | INFO | Train Epoch: 7 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.26382 (0.31790) Boundary_loss: 0.012925 (0.012939) Loss: 0.27674 (0.33084) +2025-08-23,15:26:54 | INFO | Train Epoch: 7 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.27845 (0.31777) Boundary_loss: 0.012991 (0.012939) Loss: 0.29144 (0.33071) +2025-08-23,15:28:00 | INFO | Train Epoch: 7 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.29179 (0.31769) Boundary_loss: 0.013006 (0.012939) Loss: 0.30480 (0.33063) +2025-08-23,15:29:05 | INFO | Train Epoch: 7 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.25913 (0.31751) Boundary_loss: 0.012895 (0.012939) Loss: 0.27203 (0.33044) +2025-08-23,15:30:10 | INFO | Train Epoch: 7 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.33357 (0.31756) Boundary_loss: 0.012949 (0.012939) Loss: 0.34652 (0.33050) +2025-08-23,15:31:15 | INFO | Train Epoch: 7 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.27455 (0.31742) Boundary_loss: 0.012945 (0.012939) Loss: 0.28749 (0.33036) +2025-08-23,15:32:20 | INFO | Train Epoch: 7 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.32276 (0.31744) Boundary_loss: 0.012956 (0.012939) Loss: 0.33571 (0.33038) +2025-08-23,15:33:24 | INFO | Train Epoch: 7 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.592 Boundary Ratio: 0.100 Contrastive_loss: 0.32896 (0.31747) Boundary_loss: 0.012896 (0.012939) Loss: 0.34186 (0.33041) +2025-08-23,15:34:29 | INFO | Train Epoch: 7 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.24991 (0.31726) Boundary_loss: 0.012948 (0.012939) Loss: 0.26286 (0.33020) +2025-08-23,15:35:34 | INFO | Train Epoch: 7 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.31070 (0.31724) Boundary_loss: 0.012911 (0.012939) Loss: 0.32361 (0.33018) +2025-08-23,15:36:39 | INFO | Train Epoch: 7 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.29402 (0.31717) Boundary_loss: 0.012858 (0.012939) Loss: 0.30688 (0.33011) +2025-08-23,15:37:44 | INFO | Train Epoch: 7 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.31409 (0.31716) Boundary_loss: 0.012904 (0.012939) Loss: 0.32699 (0.33010) +2025-08-23,15:38:49 | INFO | Train Epoch: 7 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.29958 (0.31711) Boundary_loss: 0.012904 (0.012938) Loss: 0.31249 (0.33005) +2025-08-23,15:39:54 | INFO | Train Epoch: 7 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.25681 (0.31692) Boundary_loss: 0.012989 (0.012939) Loss: 0.26980 (0.32986) +2025-08-23,15:40:59 | INFO | Train Epoch: 7 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.28136 (0.31682) Boundary_loss: 0.012960 (0.012939) Loss: 0.29432 (0.32975) +2025-08-23,15:42:04 | INFO | Train Epoch: 7 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.34233 (0.31689) Boundary_loss: 0.012901 (0.012938) Loss: 0.35523 (0.32983) +2025-08-23,15:43:09 | INFO | Train Epoch: 7 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.31542 (0.31689) Boundary_loss: 0.012863 (0.012938) Loss: 0.32829 (0.32983) +2025-08-23,15:44:14 | INFO | Train Epoch: 7 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.34347 (0.31697) Boundary_loss: 0.012902 (0.012938) Loss: 0.35638 (0.32991) +2025-08-23,15:45:19 | INFO | Train Epoch: 7 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.32158 (0.31698) Boundary_loss: 0.012870 (0.012938) Loss: 0.33445 (0.32992) +2025-08-23,15:46:24 | INFO | Train Epoch: 7 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 0.38059 (0.31717) Boundary_loss: 0.013087 (0.012938) Loss: 0.39368 (0.33011) +2025-08-23,15:47:29 | INFO | Train Epoch: 7 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.26905 (0.31703) Boundary_loss: 0.012936 (0.012938) Loss: 0.28199 (0.32997) +2025-08-23,15:48:34 | INFO | Train Epoch: 7 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 0.38957 (0.31725) Boundary_loss: 0.012974 (0.012938) Loss: 0.40254 (0.33019) +2025-08-23,15:49:40 | INFO | Train Epoch: 7 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.27544 (0.31712) Boundary_loss: 0.012892 (0.012938) Loss: 0.28834 (0.33006) +2025-08-23,15:50:44 | INFO | Train Epoch: 7 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.24727 (0.31691) Boundary_loss: 0.012981 (0.012938) Loss: 0.26025 (0.32985) +2025-08-23,15:51:50 | INFO | Train Epoch: 7 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.34487 (0.31700) Boundary_loss: 0.012987 (0.012939) Loss: 0.35786 (0.32994) +2025-08-23,15:52:55 | INFO | Train Epoch: 7 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.35524 (0.31711) Boundary_loss: 0.012874 (0.012938) Loss: 0.36811 (0.33005) +2025-08-23,15:54:00 | INFO | Train Epoch: 7 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.33304 (0.31716) Boundary_loss: 0.012906 (0.012938) Loss: 0.34595 (0.33010) +2025-08-23,15:55:05 | INFO | Train Epoch: 7 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.26525 (0.31700) Boundary_loss: 0.012857 (0.012938) Loss: 0.27811 (0.32994) +2025-08-23,15:56:10 | INFO | Train Epoch: 7 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.35885 (0.31713) Boundary_loss: 0.013016 (0.012938) Loss: 0.37187 (0.33007) +2025-08-23,15:57:15 | INFO | Train Epoch: 7 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.31114 (0.31711) Boundary_loss: 0.012855 (0.012938) Loss: 0.32400 (0.33005) +2025-08-23,15:58:20 | INFO | Train Epoch: 7 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.35495 (0.31722) Boundary_loss: 0.012962 (0.012938) Loss: 0.36791 (0.33016) +2025-08-23,15:59:25 | INFO | Train Epoch: 7 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.29006 (0.31714) Boundary_loss: 0.012930 (0.012938) Loss: 0.30299 (0.33008) +2025-08-23,16:00:30 | INFO | Train Epoch: 7 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.26352 (0.31699) Boundary_loss: 0.012827 (0.012938) Loss: 0.27635 (0.32992) +2025-08-23,16:01:34 | INFO | Train Epoch: 7 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.28223 (0.31689) Boundary_loss: 0.013030 (0.012938) Loss: 0.29526 (0.32982) +2025-08-23,16:02:40 | INFO | Train Epoch: 7 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.34139 (0.31696) Boundary_loss: 0.012861 (0.012938) Loss: 0.35425 (0.32989) +2025-08-23,16:03:45 | INFO | Train Epoch: 7 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.29865 (0.31690) Boundary_loss: 0.012862 (0.012938) Loss: 0.31152 (0.32984) +2025-08-23,16:04:50 | INFO | Train Epoch: 7 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.38968 (0.31711) Boundary_loss: 0.012933 (0.012938) Loss: 0.40261 (0.33005) +2025-08-23,16:05:55 | INFO | Train Epoch: 7 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.36138 (0.31724) Boundary_loss: 0.012884 (0.012937) Loss: 0.37426 (0.33018) +2025-08-23,16:07:00 | INFO | Train Epoch: 7 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.35454 (0.31734) Boundary_loss: 0.012919 (0.012937) Loss: 0.36746 (0.33028) +2025-08-23,16:08:05 | INFO | Train Epoch: 7 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.37727 (0.31751) Boundary_loss: 0.012944 (0.012937) Loss: 0.39022 (0.33045) +2025-08-23,16:09:10 | INFO | Train Epoch: 7 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.33713 (0.31757) Boundary_loss: 0.012890 (0.012937) Loss: 0.35002 (0.33051) +2025-08-23,16:10:15 | INFO | Train Epoch: 7 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.26934 (0.31743) Boundary_loss: 0.012979 (0.012937) Loss: 0.28232 (0.33037) +2025-08-23,16:11:20 | INFO | Train Epoch: 7 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.36598 (0.31757) Boundary_loss: 0.012892 (0.012937) Loss: 0.37887 (0.33051) +2025-08-23,16:12:25 | INFO | Train Epoch: 7 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.38268 (0.31775) Boundary_loss: 0.012906 (0.012937) Loss: 0.39559 (0.33069) +2025-08-23,16:13:30 | INFO | Train Epoch: 7 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.31565 (0.31775) Boundary_loss: 0.012955 (0.012937) Loss: 0.32861 (0.33068) +2025-08-23,16:14:35 | INFO | Train Epoch: 7 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.38416 (0.31793) Boundary_loss: 0.012952 (0.012937) Loss: 0.39711 (0.33087) +2025-08-23,16:15:40 | INFO | Train Epoch: 7 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.24205 (0.31772) Boundary_loss: 0.012999 (0.012937) Loss: 0.25505 (0.33066) +2025-08-23,16:16:45 | INFO | Train Epoch: 7 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.23919 (0.31750) Boundary_loss: 0.013001 (0.012938) Loss: 0.25219 (0.33044) +2025-08-23,16:17:50 | INFO | Train Epoch: 7 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.31885 (0.31751) Boundary_loss: 0.012938 (0.012938) Loss: 0.33179 (0.33044) +2025-08-23,16:18:55 | INFO | Train Epoch: 7 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.26320 (0.31736) Boundary_loss: 0.012904 (0.012938) Loss: 0.27610 (0.33029) +2025-08-23,16:20:00 | INFO | Train Epoch: 7 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.27974 (0.31725) Boundary_loss: 0.012874 (0.012937) Loss: 0.29261 (0.33019) +2025-08-23,16:21:05 | INFO | Train Epoch: 7 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.28344 (0.31716) Boundary_loss: 0.012898 (0.012937) Loss: 0.29634 (0.33010) +2025-08-23,16:22:10 | INFO | Train Epoch: 7 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.32416 (0.31718) Boundary_loss: 0.012907 (0.012937) Loss: 0.33707 (0.33012) +2025-08-23,16:23:15 | INFO | Train Epoch: 7 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.34568 (0.31726) Boundary_loss: 0.012908 (0.012937) Loss: 0.35859 (0.33019) +2025-08-23,16:24:20 | INFO | Train Epoch: 7 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.29809 (0.31721) Boundary_loss: 0.012922 (0.012937) Loss: 0.31101 (0.33014) +2025-08-23,16:25:25 | INFO | Train Epoch: 7 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.28254 (0.31711) Boundary_loss: 0.012988 (0.012937) Loss: 0.29553 (0.33005) +2025-08-23,16:26:30 | INFO | Train Epoch: 7 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.29149 (0.31704) Boundary_loss: 0.012956 (0.012937) Loss: 0.30445 (0.32998) +2025-08-23,16:27:35 | INFO | Train Epoch: 7 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.32599 (0.31707) Boundary_loss: 0.012892 (0.012937) Loss: 0.33888 (0.33000) +2025-08-23,16:28:40 | INFO | Train Epoch: 7 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.28693 (0.31699) Boundary_loss: 0.013004 (0.012937) Loss: 0.29994 (0.32992) +2025-08-23,16:29:45 | INFO | Train Epoch: 7 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.32347 (0.31700) Boundary_loss: 0.012944 (0.012937) Loss: 0.33641 (0.32994) +2025-08-23,16:30:51 | INFO | Train Epoch: 7 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.32001 (0.31701) Boundary_loss: 0.012948 (0.012937) Loss: 0.33296 (0.32995) +2025-08-23,16:31:56 | INFO | Train Epoch: 7 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.35346 (0.31711) Boundary_loss: 0.013040 (0.012938) Loss: 0.36650 (0.33005) +2025-08-23,16:33:01 | INFO | Train Epoch: 7 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.22825 (0.31687) Boundary_loss: 0.013014 (0.012938) Loss: 0.24126 (0.32981) +2025-08-23,16:34:06 | INFO | Train Epoch: 7 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.28372 (0.31678) Boundary_loss: 0.012919 (0.012938) Loss: 0.29664 (0.32972) +2025-08-23,16:35:11 | INFO | Train Epoch: 7 [19302912/26365952 (73%)] Avg Boundaries (per batch): 18.875 Boundary Ratio: 0.096 Contrastive_loss: 0.33118 (0.31682) Boundary_loss: 0.012961 (0.012938) Loss: 0.34414 (0.32976) +2025-08-23,16:36:16 | INFO | Train Epoch: 7 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.34848 (0.31691) Boundary_loss: 0.012938 (0.012938) Loss: 0.36142 (0.32984) +2025-08-23,16:37:21 | INFO | Train Epoch: 7 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.27529 (0.31680) Boundary_loss: 0.012941 (0.012938) Loss: 0.28823 (0.32973) +2025-08-23,16:38:26 | INFO | Train Epoch: 7 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.29561 (0.31674) Boundary_loss: 0.012851 (0.012938) Loss: 0.30846 (0.32968) +2025-08-23,16:39:31 | INFO | Train Epoch: 7 [19507712/26365952 (74%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.27097 (0.31662) Boundary_loss: 0.012905 (0.012938) Loss: 0.28388 (0.32956) +2025-08-23,16:40:36 | INFO | Train Epoch: 7 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.30071 (0.31658) Boundary_loss: 0.012932 (0.012938) Loss: 0.31364 (0.32952) +2025-08-23,16:41:41 | INFO | Train Epoch: 7 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.30577 (0.31655) Boundary_loss: 0.012904 (0.012937) Loss: 0.31867 (0.32949) +2025-08-23,16:42:46 | INFO | Train Epoch: 7 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.34726 (0.31663) Boundary_loss: 0.012833 (0.012937) Loss: 0.36009 (0.32957) +2025-08-23,16:43:51 | INFO | Train Epoch: 7 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.34465 (0.31670) Boundary_loss: 0.012919 (0.012937) Loss: 0.35757 (0.32964) +2025-08-23,16:44:55 | INFO | Train Epoch: 7 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.33392 (0.31675) Boundary_loss: 0.012921 (0.012937) Loss: 0.34684 (0.32968) +2025-08-23,16:46:00 | INFO | Train Epoch: 7 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.32732 (0.31678) Boundary_loss: 0.012926 (0.012937) Loss: 0.34025 (0.32971) +2025-08-23,16:47:05 | INFO | Train Epoch: 7 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.30305 (0.31674) Boundary_loss: 0.012896 (0.012937) Loss: 0.31595 (0.32968) +2025-08-23,16:48:10 | INFO | Train Epoch: 7 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.30011 (0.31670) Boundary_loss: 0.012999 (0.012937) Loss: 0.31310 (0.32963) +2025-08-23,16:49:15 | INFO | Train Epoch: 7 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.33514 (0.31674) Boundary_loss: 0.012835 (0.012937) Loss: 0.34798 (0.32968) +2025-08-23,16:50:20 | INFO | Train Epoch: 7 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.23809 (0.31654) Boundary_loss: 0.012909 (0.012937) Loss: 0.25099 (0.32948) +2025-08-23,16:51:26 | INFO | Train Epoch: 7 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.31753 (0.31655) Boundary_loss: 0.012898 (0.012937) Loss: 0.33042 (0.32948) +2025-08-23,16:52:31 | INFO | Train Epoch: 7 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.30572 (0.31652) Boundary_loss: 0.012882 (0.012937) Loss: 0.31861 (0.32946) +2025-08-23,16:53:36 | INFO | Train Epoch: 7 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.32109 (0.31653) Boundary_loss: 0.012940 (0.012937) Loss: 0.33403 (0.32947) +2025-08-23,16:54:41 | INFO | Train Epoch: 7 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.31413 (0.31652) Boundary_loss: 0.012857 (0.012936) Loss: 0.32699 (0.32946) +2025-08-23,16:55:46 | INFO | Train Epoch: 7 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.30283 (0.31649) Boundary_loss: 0.012923 (0.012936) Loss: 0.31575 (0.32943) +2025-08-23,16:56:51 | INFO | Train Epoch: 7 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.29127 (0.31643) Boundary_loss: 0.012892 (0.012936) Loss: 0.30416 (0.32936) +2025-08-23,16:57:56 | INFO | Train Epoch: 7 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.29478 (0.31637) Boundary_loss: 0.012914 (0.012936) Loss: 0.30770 (0.32931) +2025-08-23,16:59:01 | INFO | Train Epoch: 7 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.30459 (0.31634) Boundary_loss: 0.012780 (0.012936) Loss: 0.31737 (0.32928) +2025-08-23,17:00:06 | INFO | Train Epoch: 7 [20480512/26365952 (78%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 0.32733 (0.31637) Boundary_loss: 0.012922 (0.012936) Loss: 0.34025 (0.32931) +2025-08-23,17:01:11 | INFO | Train Epoch: 7 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.30687 (0.31635) Boundary_loss: 0.012998 (0.012936) Loss: 0.31987 (0.32928) +2025-08-23,17:02:16 | INFO | Train Epoch: 7 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.32507 (0.31637) Boundary_loss: 0.012882 (0.012936) Loss: 0.33795 (0.32930) +2025-08-23,17:03:21 | INFO | Train Epoch: 7 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.32005 (0.31638) Boundary_loss: 0.012952 (0.012936) Loss: 0.33300 (0.32931) +2025-08-23,17:04:26 | INFO | Train Epoch: 7 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.37440 (0.31652) Boundary_loss: 0.012799 (0.012935) Loss: 0.38720 (0.32946) +2025-08-23,17:05:31 | INFO | Train Epoch: 7 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.28608 (0.31645) Boundary_loss: 0.012851 (0.012935) Loss: 0.29893 (0.32938) +2025-08-23,17:06:36 | INFO | Train Epoch: 7 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.25577 (0.31630) Boundary_loss: 0.012803 (0.012935) Loss: 0.26858 (0.32923) +2025-08-23,17:07:41 | INFO | Train Epoch: 7 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.21906 (0.31606) Boundary_loss: 0.012948 (0.012935) Loss: 0.23201 (0.32899) +2025-08-23,17:08:46 | INFO | Train Epoch: 7 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.29735 (0.31601) Boundary_loss: 0.012844 (0.012935) Loss: 0.31020 (0.32895) +2025-08-23,17:09:51 | INFO | Train Epoch: 7 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.31694 (0.31601) Boundary_loss: 0.012914 (0.012935) Loss: 0.32985 (0.32895) +2025-08-23,17:10:56 | INFO | Train Epoch: 7 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.30583 (0.31599) Boundary_loss: 0.012836 (0.012934) Loss: 0.31867 (0.32892) +2025-08-23,17:12:02 | INFO | Train Epoch: 7 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.29137 (0.31593) Boundary_loss: 0.012866 (0.012934) Loss: 0.30423 (0.32886) +2025-08-23,17:13:07 | INFO | Train Epoch: 7 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.27785 (0.31584) Boundary_loss: 0.012908 (0.012934) Loss: 0.29076 (0.32877) +2025-08-23,17:14:12 | INFO | Train Epoch: 7 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.28779 (0.31577) Boundary_loss: 0.012899 (0.012934) Loss: 0.30069 (0.32870) +2025-08-23,17:15:17 | INFO | Train Epoch: 7 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.30057 (0.31573) Boundary_loss: 0.013058 (0.012934) Loss: 0.31363 (0.32867) +2025-08-23,17:16:22 | INFO | Train Epoch: 7 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.33702 (0.31578) Boundary_loss: 0.012918 (0.012934) Loss: 0.34994 (0.32872) +2025-08-23,17:17:27 | INFO | Train Epoch: 7 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.37795 (0.31593) Boundary_loss: 0.012903 (0.012934) Loss: 0.39085 (0.32887) +2025-08-23,17:18:32 | INFO | Train Epoch: 7 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.31142 (0.31592) Boundary_loss: 0.012909 (0.012934) Loss: 0.32433 (0.32886) +2025-08-23,17:19:37 | INFO | Train Epoch: 7 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.29510 (0.31587) Boundary_loss: 0.012900 (0.012934) Loss: 0.30800 (0.32881) +2025-08-23,17:20:42 | INFO | Train Epoch: 7 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.32688 (0.31590) Boundary_loss: 0.012945 (0.012934) Loss: 0.33982 (0.32883) +2025-08-23,17:21:47 | INFO | Train Epoch: 7 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.31653 (0.31590) Boundary_loss: 0.012983 (0.012934) Loss: 0.32952 (0.32884) +2025-08-23,17:22:52 | INFO | Train Epoch: 7 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.24690 (0.31574) Boundary_loss: 0.012946 (0.012934) Loss: 0.25984 (0.32867) +2025-08-23,17:23:57 | INFO | Train Epoch: 7 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.30506 (0.31571) Boundary_loss: 0.012943 (0.012934) Loss: 0.31800 (0.32865) +2025-08-23,17:25:02 | INFO | Train Epoch: 7 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.27406 (0.31561) Boundary_loss: 0.012860 (0.012934) Loss: 0.28692 (0.32855) +2025-08-23,17:26:07 | INFO | Train Epoch: 7 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.27604 (0.31552) Boundary_loss: 0.012870 (0.012934) Loss: 0.28891 (0.32845) +2025-08-23,17:27:12 | INFO | Train Epoch: 7 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.22968 (0.31532) Boundary_loss: 0.012932 (0.012934) Loss: 0.24261 (0.32825) +2025-08-23,17:28:17 | INFO | Train Epoch: 7 [21811712/26365952 (83%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.27099 (0.31522) Boundary_loss: 0.012836 (0.012934) Loss: 0.28383 (0.32815) +2025-08-23,17:29:22 | INFO | Train Epoch: 7 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.33768 (0.31527) Boundary_loss: 0.012904 (0.012934) Loss: 0.35058 (0.32820) +2025-08-23,17:30:27 | INFO | Train Epoch: 7 [21914112/26365952 (83%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.34493 (0.31534) Boundary_loss: 0.012944 (0.012934) Loss: 0.35788 (0.32827) +2025-08-23,17:31:32 | INFO | Train Epoch: 7 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.33147 (0.31537) Boundary_loss: 0.012976 (0.012934) Loss: 0.34445 (0.32831) +2025-08-23,17:32:37 | INFO | Train Epoch: 7 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.33233 (0.31541) Boundary_loss: 0.013000 (0.012934) Loss: 0.34533 (0.32835) +2025-08-23,17:33:42 | INFO | Train Epoch: 7 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.26713 (0.31530) Boundary_loss: 0.013020 (0.012934) Loss: 0.28015 (0.32824) +2025-08-23,17:34:47 | INFO | Train Epoch: 7 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 0.30371 (0.31528) Boundary_loss: 0.012873 (0.012934) Loss: 0.31658 (0.32821) +2025-08-23,17:35:52 | INFO | Train Epoch: 7 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.32633 (0.31530) Boundary_loss: 0.012912 (0.012934) Loss: 0.33924 (0.32823) +2025-08-23,17:36:57 | INFO | Train Epoch: 7 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.28847 (0.31524) Boundary_loss: 0.012843 (0.012934) Loss: 0.30131 (0.32817) +2025-08-23,17:38:02 | INFO | Train Epoch: 7 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.34359 (0.31530) Boundary_loss: 0.012873 (0.012934) Loss: 0.35646 (0.32824) +2025-08-23,17:39:07 | INFO | Train Epoch: 7 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.39600 (0.31549) Boundary_loss: 0.013018 (0.012934) Loss: 0.40902 (0.32842) +2025-08-23,17:40:12 | INFO | Train Epoch: 7 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.35025 (0.31557) Boundary_loss: 0.012864 (0.012934) Loss: 0.36312 (0.32850) +2025-08-23,17:41:17 | INFO | Train Epoch: 7 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.30319 (0.31554) Boundary_loss: 0.012863 (0.012934) Loss: 0.31605 (0.32847) +2025-08-23,17:42:22 | INFO | Train Epoch: 7 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.43671 (0.31582) Boundary_loss: 0.012991 (0.012934) Loss: 0.44970 (0.32875) +2025-08-23,17:43:27 | INFO | Train Epoch: 7 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.34750 (0.31589) Boundary_loss: 0.012799 (0.012933) Loss: 0.36030 (0.32882) +2025-08-23,17:44:32 | INFO | Train Epoch: 7 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.31202 (0.31588) Boundary_loss: 0.012854 (0.012933) Loss: 0.32488 (0.32881) +2025-08-23,17:45:37 | INFO | Train Epoch: 7 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.21912 (0.31566) Boundary_loss: 0.012915 (0.012933) Loss: 0.23204 (0.32859) +2025-08-23,17:46:42 | INFO | Train Epoch: 7 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.31778 (0.31566) Boundary_loss: 0.012975 (0.012933) Loss: 0.33075 (0.32860) +2025-08-23,17:47:47 | INFO | Train Epoch: 7 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.30028 (0.31563) Boundary_loss: 0.012906 (0.012933) Loss: 0.31318 (0.32856) +2025-08-23,17:48:52 | INFO | Train Epoch: 7 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.28530 (0.31556) Boundary_loss: 0.012798 (0.012933) Loss: 0.29809 (0.32850) +2025-08-23,17:49:57 | INFO | Train Epoch: 7 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.23082 (0.31537) Boundary_loss: 0.012895 (0.012933) Loss: 0.24371 (0.32831) +2025-08-23,17:51:02 | INFO | Train Epoch: 7 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.25316 (0.31523) Boundary_loss: 0.012879 (0.012933) Loss: 0.26604 (0.32817) +2025-08-23,17:52:07 | INFO | Train Epoch: 7 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.31695 (0.31524) Boundary_loss: 0.012969 (0.012933) Loss: 0.32992 (0.32817) +2025-08-23,17:53:12 | INFO | Train Epoch: 7 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.35625 (0.31533) Boundary_loss: 0.012889 (0.012933) Loss: 0.36914 (0.32826) +2025-08-23,17:54:17 | INFO | Train Epoch: 7 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.34661 (0.31540) Boundary_loss: 0.013007 (0.012933) Loss: 0.35962 (0.32833) +2025-08-23,17:55:22 | INFO | Train Epoch: 7 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.36992 (0.31552) Boundary_loss: 0.012927 (0.012933) Loss: 0.38285 (0.32845) +2025-08-23,17:56:27 | INFO | Train Epoch: 7 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.31061 (0.31551) Boundary_loss: 0.012766 (0.012932) Loss: 0.32338 (0.32844) +2025-08-23,17:57:32 | INFO | Train Epoch: 7 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.30836 (0.31549) Boundary_loss: 0.012997 (0.012933) Loss: 0.32136 (0.32842) +2025-08-23,17:58:37 | INFO | Train Epoch: 7 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.26465 (0.31538) Boundary_loss: 0.012879 (0.012932) Loss: 0.27753 (0.32831) +2025-08-23,17:59:42 | INFO | Train Epoch: 7 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.29938 (0.31535) Boundary_loss: 0.013019 (0.012933) Loss: 0.31240 (0.32828) +2025-08-23,18:00:47 | INFO | Train Epoch: 7 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.25633 (0.31522) Boundary_loss: 0.012854 (0.012932) Loss: 0.26919 (0.32815) +2025-08-23,18:01:52 | INFO | Train Epoch: 7 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.40277 (0.31541) Boundary_loss: 0.012909 (0.012932) Loss: 0.41568 (0.32834) +2025-08-23,18:02:57 | INFO | Train Epoch: 7 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.36422 (0.31551) Boundary_loss: 0.012945 (0.012932) Loss: 0.37717 (0.32845) +2025-08-23,18:04:02 | INFO | Train Epoch: 7 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.38792 (0.31567) Boundary_loss: 0.013003 (0.012933) Loss: 0.40092 (0.32860) +2025-08-23,18:05:07 | INFO | Train Epoch: 7 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.33438 (0.31571) Boundary_loss: 0.012998 (0.012933) Loss: 0.34738 (0.32864) +2025-08-23,18:06:12 | INFO | Train Epoch: 7 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.24499 (0.31556) Boundary_loss: 0.012850 (0.012933) Loss: 0.25784 (0.32849) +2025-08-23,18:07:17 | INFO | Train Epoch: 7 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.25212 (0.31542) Boundary_loss: 0.012850 (0.012932) Loss: 0.26497 (0.32835) +2025-08-23,18:08:22 | INFO | Train Epoch: 7 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.27982 (0.31534) Boundary_loss: 0.013127 (0.012933) Loss: 0.29295 (0.32828) +2025-08-23,18:09:27 | INFO | Train Epoch: 7 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.34454 (0.31541) Boundary_loss: 0.012941 (0.012933) Loss: 0.35748 (0.32834) +2025-08-23,18:10:32 | INFO | Train Epoch: 7 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.27345 (0.31532) Boundary_loss: 0.012939 (0.012933) Loss: 0.28639 (0.32825) +2025-08-23,18:11:37 | INFO | Train Epoch: 7 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.34334 (0.31538) Boundary_loss: 0.012975 (0.012933) Loss: 0.35632 (0.32831) +2025-08-23,18:12:42 | INFO | Train Epoch: 7 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.28306 (0.31531) Boundary_loss: 0.012967 (0.012933) Loss: 0.29602 (0.32824) +2025-08-23,18:13:47 | INFO | Train Epoch: 7 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.36095 (0.31541) Boundary_loss: 0.012852 (0.012933) Loss: 0.37380 (0.32834) +2025-08-23,18:14:52 | INFO | Train Epoch: 7 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.38434 (0.31555) Boundary_loss: 0.012913 (0.012933) Loss: 0.39725 (0.32849) +2025-08-23,18:15:57 | INFO | Train Epoch: 7 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.28223 (0.31548) Boundary_loss: 0.013021 (0.012933) Loss: 0.29525 (0.32841) +2025-08-23,18:17:02 | INFO | Train Epoch: 7 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.20369 (0.31524) Boundary_loss: 0.012902 (0.012933) Loss: 0.21659 (0.32818) +2025-08-23,18:18:07 | INFO | Train Epoch: 7 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.36971 (0.31536) Boundary_loss: 0.012900 (0.012933) Loss: 0.38261 (0.32829) +2025-08-23,18:19:12 | INFO | Train Epoch: 7 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.28555 (0.31530) Boundary_loss: 0.012982 (0.012933) Loss: 0.29853 (0.32823) +2025-08-23,18:20:17 | INFO | Train Epoch: 7 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.27384 (0.31521) Boundary_loss: 0.012888 (0.012933) Loss: 0.28673 (0.32814) +2025-08-23,18:21:22 | INFO | Train Epoch: 7 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.40027 (0.31539) Boundary_loss: 0.012927 (0.012933) Loss: 0.41319 (0.32832) +2025-08-23,18:22:27 | INFO | Train Epoch: 7 [24371712/26365952 (92%)] Avg Boundaries (per batch): 18.967 Boundary Ratio: 0.097 Contrastive_loss: 0.26271 (0.31528) Boundary_loss: 0.012993 (0.012933) Loss: 0.27570 (0.32821) +2025-08-23,18:23:32 | INFO | Train Epoch: 7 [24422912/26365952 (93%)] Avg Boundaries (per batch): 18.949 Boundary Ratio: 0.097 Contrastive_loss: 0.34350 (0.31534) Boundary_loss: 0.012897 (0.012933) Loss: 0.35640 (0.32827) +2025-08-23,18:24:37 | INFO | Train Epoch: 7 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.30128 (0.31531) Boundary_loss: 0.012841 (0.012933) Loss: 0.31412 (0.32824) +2025-08-23,18:25:42 | INFO | Train Epoch: 7 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.32390 (0.31533) Boundary_loss: 0.012841 (0.012933) Loss: 0.33674 (0.32826) +2025-08-23,18:26:47 | INFO | Train Epoch: 7 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.26241 (0.31522) Boundary_loss: 0.012962 (0.012933) Loss: 0.27537 (0.32815) +2025-08-23,18:27:52 | INFO | Train Epoch: 7 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.22367 (0.31503) Boundary_loss: 0.012878 (0.012932) Loss: 0.23655 (0.32796) +2025-08-23,18:28:57 | INFO | Train Epoch: 7 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.32260 (0.31504) Boundary_loss: 0.012956 (0.012933) Loss: 0.33555 (0.32797) +2025-08-23,18:30:02 | INFO | Train Epoch: 7 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 0.30590 (0.31502) Boundary_loss: 0.013001 (0.012933) Loss: 0.31890 (0.32796) +2025-08-23,18:31:07 | INFO | Train Epoch: 7 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.27647 (0.31494) Boundary_loss: 0.012841 (0.012932) Loss: 0.28931 (0.32788) +2025-08-23,18:32:12 | INFO | Train Epoch: 7 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.39873 (0.31512) Boundary_loss: 0.012970 (0.012933) Loss: 0.41170 (0.32805) +2025-08-23,18:33:17 | INFO | Train Epoch: 7 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.637 Boundary Ratio: 0.100 Contrastive_loss: 0.24574 (0.31497) Boundary_loss: 0.012941 (0.012933) Loss: 0.25868 (0.32791) +2025-08-23,18:34:22 | INFO | Train Epoch: 7 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.34214 (0.31503) Boundary_loss: 0.012879 (0.012932) Loss: 0.35502 (0.32796) +2025-08-23,18:35:27 | INFO | Train Epoch: 7 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.27674 (0.31495) Boundary_loss: 0.012863 (0.012932) Loss: 0.28960 (0.32788) +2025-08-23,18:36:32 | INFO | Train Epoch: 7 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.35060 (0.31502) Boundary_loss: 0.012922 (0.012932) Loss: 0.36352 (0.32796) +2025-08-23,18:37:37 | INFO | Train Epoch: 7 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.31965 (0.31503) Boundary_loss: 0.012965 (0.012932) Loss: 0.33262 (0.32796) +2025-08-23,18:38:42 | INFO | Train Epoch: 7 [25139712/26365952 (95%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 0.31391 (0.31503) Boundary_loss: 0.012898 (0.012932) Loss: 0.32681 (0.32796) +2025-08-23,18:39:47 | INFO | Train Epoch: 7 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.28840 (0.31498) Boundary_loss: 0.012962 (0.012932) Loss: 0.30136 (0.32791) +2025-08-23,18:40:52 | INFO | Train Epoch: 7 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.35838 (0.31506) Boundary_loss: 0.012785 (0.012932) Loss: 0.37116 (0.32800) +2025-08-23,18:41:57 | INFO | Train Epoch: 7 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.33450 (0.31510) Boundary_loss: 0.012997 (0.012932) Loss: 0.34750 (0.32804) +2025-08-23,18:43:02 | INFO | Train Epoch: 7 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.26432 (0.31500) Boundary_loss: 0.012877 (0.012932) Loss: 0.27720 (0.32793) +2025-08-23,18:44:07 | INFO | Train Epoch: 7 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.24723 (0.31486) Boundary_loss: 0.012916 (0.012932) Loss: 0.26015 (0.32780) +2025-08-23,18:45:12 | INFO | Train Epoch: 7 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.35442 (0.31494) Boundary_loss: 0.013000 (0.012932) Loss: 0.36742 (0.32788) +2025-08-23,18:46:17 | INFO | Train Epoch: 7 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.24441 (0.31480) Boundary_loss: 0.012907 (0.012932) Loss: 0.25732 (0.32773) +2025-08-23,18:47:22 | INFO | Train Epoch: 7 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.24791 (0.31467) Boundary_loss: 0.012886 (0.012932) Loss: 0.26080 (0.32760) +2025-08-23,18:48:27 | INFO | Train Epoch: 7 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.29209 (0.31462) Boundary_loss: 0.012935 (0.012932) Loss: 0.30502 (0.32756) +2025-08-23,18:49:32 | INFO | Train Epoch: 7 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.27179 (0.31454) Boundary_loss: 0.012782 (0.012932) Loss: 0.28458 (0.32747) +2025-08-23,18:50:37 | INFO | Train Epoch: 7 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.32562 (0.31456) Boundary_loss: 0.012924 (0.012932) Loss: 0.33855 (0.32749) +2025-08-23,18:51:42 | INFO | Train Epoch: 7 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.25881 (0.31445) Boundary_loss: 0.012916 (0.012932) Loss: 0.27173 (0.32738) +2025-08-23,18:52:47 | INFO | Train Epoch: 7 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.41360 (0.31465) Boundary_loss: 0.012952 (0.012932) Loss: 0.42655 (0.32758) +2025-08-23,18:53:52 | INFO | Train Epoch: 7 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.38073 (0.31478) Boundary_loss: 0.012892 (0.012932) Loss: 0.39362 (0.32771) +2025-08-23,18:54:57 | INFO | Train Epoch: 7 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.29583 (0.31474) Boundary_loss: 0.012921 (0.012932) Loss: 0.30875 (0.32767) +2025-08-23,18:56:02 | INFO | Train Epoch: 7 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.31026 (0.31473) Boundary_loss: 0.012813 (0.012931) Loss: 0.32307 (0.32766) +2025-08-23,18:57:07 | INFO | Train Epoch: 7 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.27038 (0.31464) Boundary_loss: 0.012838 (0.012931) Loss: 0.28321 (0.32757) +2025-08-23,18:58:12 | INFO | Train Epoch: 7 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.40835 (0.31483) Boundary_loss: 0.012994 (0.012931) Loss: 0.42135 (0.32776) +2025-08-23,18:59:17 | INFO | Train Epoch: 7 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.28731 (0.31477) Boundary_loss: 0.012924 (0.012931) Loss: 0.30024 (0.32770) +2025-08-23,19:00:22 | INFO | Train Epoch: 7 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.26087 (0.31467) Boundary_loss: 0.012973 (0.012931) Loss: 0.27384 (0.32760) +2025-08-23,19:01:27 | INFO | Train Epoch: 7 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.36178 (0.31476) Boundary_loss: 0.012876 (0.012931) Loss: 0.37466 (0.32769) +2025-08-23,19:02:32 | INFO | Train Epoch: 7 [26266112/26365952 (100%)] Avg Boundaries (per batch): 18.838 Boundary Ratio: 0.096 Contrastive_loss: 0.31190 (0.31475) Boundary_loss: 0.012931 (0.012931) Loss: 0.32483 (0.32769) +2025-08-23,19:03:37 | INFO | Train Epoch: 7 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.39251 (0.31491) Boundary_loss: 0.012912 (0.012931) Loss: 0.40543 (0.32784) +2025-08-23,19:04:39 | INFO | Train Epoch: 7 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.28202 (0.31484) Boundary_loss: 0.013041 (0.012931) Loss: 0.29506 (0.32777) +2025-08-23,19:04:39 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-23,19:04:39 | INFO | [Epoch 7] Average Step Time: 0.653s | Average GPU Memory: 37.3 GB +2025-08-23,19:04:39 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-23,19:04:39 | INFO | Starting zero-shot imagenet. +2025-08-23,19:04:39 | INFO | Building zero-shot classifier +2025-08-23,19:04:49 | INFO | Using classifier +2025-08-23,19:05:36 | INFO | Finished zero-shot imagenet. +2025-08-23,19:05:36 | INFO | Eval Epoch: 8 imagenet-zeroshot-val-top1: 0.2830 imagenet-zeroshot-val-top5: 0.5408 +2025-08-23,19:05:37 | INFO | Start epoch 8 +2025-08-23,19:05:39 | INFO | Train Epoch: 8 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.29145 (0.29145) Boundary_loss: 0.012915 (0.012915) Loss: 0.30437 (0.30437) +2025-08-23,19:06:44 | INFO | Train Epoch: 8 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.22398 (0.25771) Boundary_loss: 0.012905 (0.012910) Loss: 0.23688 (0.27062) +2025-08-23,19:07:49 | INFO | Train Epoch: 8 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.33652 (0.28398) Boundary_loss: 0.012861 (0.012894) Loss: 0.34938 (0.29688) +2025-08-23,19:08:54 | INFO | Train Epoch: 8 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.27800 (0.28249) Boundary_loss: 0.013061 (0.012936) Loss: 0.29106 (0.29542) +2025-08-23,19:09:59 | INFO | Train Epoch: 8 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.24820 (0.27563) Boundary_loss: 0.012894 (0.012927) Loss: 0.26110 (0.28856) +2025-08-23,19:11:03 | INFO | Train Epoch: 8 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 0.20885 (0.26450) Boundary_loss: 0.012934 (0.012928) Loss: 0.22179 (0.27743) +2025-08-23,19:12:08 | INFO | Train Epoch: 8 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 0.35588 (0.27756) Boundary_loss: 0.012915 (0.012927) Loss: 0.36880 (0.29048) +2025-08-23,19:13:13 | INFO | Train Epoch: 8 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.27751 (0.27755) Boundary_loss: 0.012871 (0.012920) Loss: 0.29038 (0.29047) +2025-08-23,19:14:18 | INFO | Train Epoch: 8 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.27424 (0.27718) Boundary_loss: 0.012971 (0.012925) Loss: 0.28721 (0.29011) +2025-08-23,19:15:23 | INFO | Train Epoch: 8 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.28268 (0.27773) Boundary_loss: 0.012854 (0.012918) Loss: 0.29553 (0.29065) +2025-08-23,19:16:27 | INFO | Train Epoch: 8 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.25860 (0.27599) Boundary_loss: 0.012966 (0.012923) Loss: 0.27156 (0.28891) +2025-08-23,19:17:32 | INFO | Train Epoch: 8 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.29828 (0.27785) Boundary_loss: 0.012884 (0.012919) Loss: 0.31117 (0.29077) +2025-08-23,19:18:37 | INFO | Train Epoch: 8 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.24994 (0.27570) Boundary_loss: 0.012966 (0.012923) Loss: 0.26291 (0.28863) +2025-08-23,19:19:42 | INFO | Train Epoch: 8 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.20221 (0.27045) Boundary_loss: 0.013020 (0.012930) Loss: 0.21523 (0.28338) +2025-08-23,19:20:47 | INFO | Train Epoch: 8 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.29647 (0.27219) Boundary_loss: 0.013009 (0.012935) Loss: 0.30948 (0.28512) +2025-08-23,19:21:51 | INFO | Train Epoch: 8 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.27978 (0.27266) Boundary_loss: 0.012939 (0.012935) Loss: 0.29272 (0.28560) +2025-08-23,19:22:56 | INFO | Train Epoch: 8 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 18.924 Boundary Ratio: 0.097 Contrastive_loss: 0.28042 (0.27312) Boundary_loss: 0.012832 (0.012929) Loss: 0.29325 (0.28605) +2025-08-23,19:24:01 | INFO | Train Epoch: 8 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.30580 (0.27493) Boundary_loss: 0.012853 (0.012925) Loss: 0.31865 (0.28786) +2025-08-23,19:25:06 | INFO | Train Epoch: 8 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.22381 (0.27224) Boundary_loss: 0.012883 (0.012923) Loss: 0.23669 (0.28517) +2025-08-23,19:26:10 | INFO | Train Epoch: 8 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.24209 (0.27074) Boundary_loss: 0.012984 (0.012926) Loss: 0.25507 (0.28366) +2025-08-23,19:27:15 | INFO | Train Epoch: 8 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.27474 (0.27093) Boundary_loss: 0.012980 (0.012929) Loss: 0.28772 (0.28385) +2025-08-23,19:28:20 | INFO | Train Epoch: 8 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.28156 (0.27141) Boundary_loss: 0.012782 (0.012922) Loss: 0.29434 (0.28433) +2025-08-23,19:29:25 | INFO | Train Epoch: 8 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.20300 (0.26844) Boundary_loss: 0.012829 (0.012918) Loss: 0.21583 (0.28135) +2025-08-23,19:30:29 | INFO | Train Epoch: 8 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.38404 (0.27325) Boundary_loss: 0.012886 (0.012916) Loss: 0.39692 (0.28617) +2025-08-23,19:31:34 | INFO | Train Epoch: 8 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.23263 (0.27163) Boundary_loss: 0.012945 (0.012918) Loss: 0.24557 (0.28454) +2025-08-23,19:32:39 | INFO | Train Epoch: 8 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.29030 (0.27235) Boundary_loss: 0.012950 (0.012919) Loss: 0.30325 (0.28526) +2025-08-23,19:33:44 | INFO | Train Epoch: 8 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.31770 (0.27403) Boundary_loss: 0.013001 (0.012922) Loss: 0.33070 (0.28695) +2025-08-23,19:34:49 | INFO | Train Epoch: 8 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.33149 (0.27608) Boundary_loss: 0.012990 (0.012924) Loss: 0.34448 (0.28900) +2025-08-23,19:35:53 | INFO | Train Epoch: 8 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.27182 (0.27593) Boundary_loss: 0.012895 (0.012923) Loss: 0.28472 (0.28885) +2025-08-23,19:36:58 | INFO | Train Epoch: 8 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.32924 (0.27771) Boundary_loss: 0.012931 (0.012924) Loss: 0.34218 (0.29063) +2025-08-23,19:38:03 | INFO | Train Epoch: 8 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.32306 (0.27917) Boundary_loss: 0.012843 (0.012921) Loss: 0.33590 (0.29209) +2025-08-23,19:39:08 | INFO | Train Epoch: 8 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.25951 (0.27856) Boundary_loss: 0.012944 (0.012922) Loss: 0.27246 (0.29148) +2025-08-23,19:40:13 | INFO | Train Epoch: 8 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.36416 (0.28115) Boundary_loss: 0.012846 (0.012919) Loss: 0.37701 (0.29407) +2025-08-23,19:41:18 | INFO | Train Epoch: 8 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.18327 (0.27827) Boundary_loss: 0.012914 (0.012919) Loss: 0.19618 (0.29119) +2025-08-23,19:42:22 | INFO | Train Epoch: 8 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.779 Boundary Ratio: 0.101 Contrastive_loss: 0.26645 (0.27793) Boundary_loss: 0.012957 (0.012920) Loss: 0.27941 (0.29085) +2025-08-23,19:43:27 | INFO | Train Epoch: 8 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.26885 (0.27768) Boundary_loss: 0.012888 (0.012919) Loss: 0.28174 (0.29060) +2025-08-23,19:44:32 | INFO | Train Epoch: 8 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.31171 (0.27860) Boundary_loss: 0.012906 (0.012919) Loss: 0.32462 (0.29152) +2025-08-23,19:45:37 | INFO | Train Epoch: 8 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.27621 (0.27854) Boundary_loss: 0.013036 (0.012922) Loss: 0.28925 (0.29146) +2025-08-23,19:46:42 | INFO | Train Epoch: 8 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.26457 (0.27818) Boundary_loss: 0.012889 (0.012921) Loss: 0.27746 (0.29110) +2025-08-23,19:47:47 | INFO | Train Epoch: 8 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.22773 (0.27692) Boundary_loss: 0.012908 (0.012921) Loss: 0.24063 (0.28984) +2025-08-23,19:48:52 | INFO | Train Epoch: 8 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 18.908 Boundary Ratio: 0.096 Contrastive_loss: 0.25427 (0.27637) Boundary_loss: 0.012972 (0.012922) Loss: 0.26724 (0.28929) +2025-08-23,19:49:56 | INFO | Train Epoch: 8 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.24992 (0.27574) Boundary_loss: 0.012905 (0.012922) Loss: 0.26282 (0.28866) +2025-08-23,19:51:01 | INFO | Train Epoch: 8 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.28884 (0.27604) Boundary_loss: 0.012892 (0.012921) Loss: 0.30174 (0.28896) +2025-08-23,19:52:06 | INFO | Train Epoch: 8 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.37516 (0.27829) Boundary_loss: 0.012935 (0.012921) Loss: 0.38810 (0.29122) +2025-08-23,19:53:11 | INFO | Train Epoch: 8 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.26846 (0.27808) Boundary_loss: 0.012998 (0.012923) Loss: 0.28146 (0.29100) +2025-08-23,19:54:16 | INFO | Train Epoch: 8 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.25082 (0.27748) Boundary_loss: 0.012877 (0.012922) Loss: 0.26370 (0.29041) +2025-08-23,19:55:21 | INFO | Train Epoch: 8 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.26647 (0.27725) Boundary_loss: 0.013030 (0.012924) Loss: 0.27950 (0.29017) +2025-08-23,19:56:26 | INFO | Train Epoch: 8 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.29842 (0.27769) Boundary_loss: 0.012977 (0.012925) Loss: 0.31139 (0.29062) +2025-08-23,19:57:31 | INFO | Train Epoch: 8 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.22504 (0.27662) Boundary_loss: 0.012905 (0.012925) Loss: 0.23794 (0.28954) +2025-08-23,19:58:35 | INFO | Train Epoch: 8 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 0.29801 (0.27704) Boundary_loss: 0.013005 (0.012927) Loss: 0.31102 (0.28997) +2025-08-23,19:59:40 | INFO | Train Epoch: 8 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.25230 (0.27656) Boundary_loss: 0.012985 (0.012928) Loss: 0.26528 (0.28949) +2025-08-23,20:00:45 | INFO | Train Epoch: 8 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.31716 (0.27734) Boundary_loss: 0.012905 (0.012927) Loss: 0.33007 (0.29027) +2025-08-23,20:01:50 | INFO | Train Epoch: 8 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.25922 (0.27700) Boundary_loss: 0.012878 (0.012926) Loss: 0.27210 (0.28992) +2025-08-23,20:02:55 | INFO | Train Epoch: 8 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.35171 (0.27838) Boundary_loss: 0.012901 (0.012926) Loss: 0.36461 (0.29131) +2025-08-23,20:04:00 | INFO | Train Epoch: 8 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.28583 (0.27852) Boundary_loss: 0.012836 (0.012924) Loss: 0.29866 (0.29144) +2025-08-23,20:05:05 | INFO | Train Epoch: 8 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.32357 (0.27932) Boundary_loss: 0.012859 (0.012923) Loss: 0.33643 (0.29224) +2025-08-23,20:06:10 | INFO | Train Epoch: 8 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.29655 (0.27962) Boundary_loss: 0.012893 (0.012923) Loss: 0.30944 (0.29255) +2025-08-23,20:07:15 | INFO | Train Epoch: 8 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.29563 (0.27990) Boundary_loss: 0.012974 (0.012924) Loss: 0.30861 (0.29282) +2025-08-23,20:08:19 | INFO | Train Epoch: 8 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.30906 (0.28039) Boundary_loss: 0.012930 (0.012924) Loss: 0.32198 (0.29332) +2025-08-23,20:09:24 | INFO | Train Epoch: 8 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.31457 (0.28096) Boundary_loss: 0.012834 (0.012922) Loss: 0.32740 (0.29388) +2025-08-23,20:10:29 | INFO | Train Epoch: 8 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.24807 (0.28042) Boundary_loss: 0.012827 (0.012921) Loss: 0.26089 (0.29334) +2025-08-23,20:11:34 | INFO | Train Epoch: 8 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.28139 (0.28044) Boundary_loss: 0.012896 (0.012920) Loss: 0.29429 (0.29336) +2025-08-23,20:12:39 | INFO | Train Epoch: 8 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.22020 (0.27948) Boundary_loss: 0.012872 (0.012919) Loss: 0.23307 (0.29240) +2025-08-23,20:13:44 | INFO | Train Epoch: 8 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.26009 (0.27918) Boundary_loss: 0.012962 (0.012920) Loss: 0.27305 (0.29210) +2025-08-23,20:14:49 | INFO | Train Epoch: 8 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.26878 (0.27902) Boundary_loss: 0.012956 (0.012921) Loss: 0.28173 (0.29194) +2025-08-23,20:15:54 | INFO | Train Epoch: 8 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.29107 (0.27920) Boundary_loss: 0.012950 (0.012921) Loss: 0.30402 (0.29212) +2025-08-23,20:16:59 | INFO | Train Epoch: 8 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.21620 (0.27826) Boundary_loss: 0.012901 (0.012921) Loss: 0.22911 (0.29118) +2025-08-23,20:18:04 | INFO | Train Epoch: 8 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.19639 (0.27706) Boundary_loss: 0.012857 (0.012920) Loss: 0.20924 (0.28998) +2025-08-23,20:19:09 | INFO | Train Epoch: 8 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.24239 (0.27656) Boundary_loss: 0.012953 (0.012920) Loss: 0.25534 (0.28948) +2025-08-23,20:20:14 | INFO | Train Epoch: 8 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.25268 (0.27621) Boundary_loss: 0.013008 (0.012922) Loss: 0.26568 (0.28914) +2025-08-23,20:21:18 | INFO | Train Epoch: 8 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.20526 (0.27521) Boundary_loss: 0.012893 (0.012921) Loss: 0.21815 (0.28814) +2025-08-23,20:22:23 | INFO | Train Epoch: 8 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.33791 (0.27609) Boundary_loss: 0.012874 (0.012920) Loss: 0.35078 (0.28901) +2025-08-23,20:23:28 | INFO | Train Epoch: 8 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.32032 (0.27669) Boundary_loss: 0.012946 (0.012921) Loss: 0.33327 (0.28961) +2025-08-23,20:24:33 | INFO | Train Epoch: 8 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.28852 (0.27685) Boundary_loss: 0.012950 (0.012921) Loss: 0.30147 (0.28977) +2025-08-23,20:25:38 | INFO | Train Epoch: 8 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.28658 (0.27698) Boundary_loss: 0.012868 (0.012921) Loss: 0.29945 (0.28990) +2025-08-23,20:26:43 | INFO | Train Epoch: 8 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.27709 (0.27698) Boundary_loss: 0.012996 (0.012922) Loss: 0.29008 (0.28990) +2025-08-23,20:27:48 | INFO | Train Epoch: 8 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.28406 (0.27707) Boundary_loss: 0.012979 (0.012922) Loss: 0.29704 (0.29000) +2025-08-23,20:28:53 | INFO | Train Epoch: 8 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.25411 (0.27678) Boundary_loss: 0.012905 (0.012922) Loss: 0.26701 (0.28970) +2025-08-23,20:29:58 | INFO | Train Epoch: 8 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.28417 (0.27687) Boundary_loss: 0.012928 (0.012922) Loss: 0.29710 (0.28980) +2025-08-23,20:31:03 | INFO | Train Epoch: 8 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.33327 (0.27758) Boundary_loss: 0.012971 (0.012923) Loss: 0.34624 (0.29050) +2025-08-23,20:32:08 | INFO | Train Epoch: 8 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.25022 (0.27724) Boundary_loss: 0.012936 (0.012923) Loss: 0.26316 (0.29016) +2025-08-23,20:33:13 | INFO | Train Epoch: 8 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.29443 (0.27745) Boundary_loss: 0.012935 (0.012923) Loss: 0.30736 (0.29037) +2025-08-23,20:34:18 | INFO | Train Epoch: 8 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.963 Boundary Ratio: 0.102 Contrastive_loss: 0.27691 (0.27744) Boundary_loss: 0.012953 (0.012923) Loss: 0.28986 (0.29037) +2025-08-23,20:35:23 | INFO | Train Epoch: 8 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.21273 (0.27667) Boundary_loss: 0.013018 (0.012925) Loss: 0.22574 (0.28960) +2025-08-23,20:36:28 | INFO | Train Epoch: 8 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.24509 (0.27630) Boundary_loss: 0.012924 (0.012925) Loss: 0.25801 (0.28923) +2025-08-23,20:37:33 | INFO | Train Epoch: 8 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.30917 (0.27668) Boundary_loss: 0.012954 (0.012925) Loss: 0.32212 (0.28961) +2025-08-23,20:38:38 | INFO | Train Epoch: 8 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.28241 (0.27675) Boundary_loss: 0.012904 (0.012925) Loss: 0.29532 (0.28967) +2025-08-23,20:39:43 | INFO | Train Epoch: 8 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.23610 (0.27629) Boundary_loss: 0.012924 (0.012925) Loss: 0.24902 (0.28921) +2025-08-23,20:40:48 | INFO | Train Epoch: 8 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.27160 (0.27624) Boundary_loss: 0.012999 (0.012925) Loss: 0.28460 (0.28916) +2025-08-23,20:41:52 | INFO | Train Epoch: 8 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 0.31755 (0.27669) Boundary_loss: 0.012943 (0.012926) Loss: 0.33049 (0.28962) +2025-08-23,20:42:57 | INFO | Train Epoch: 8 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.25597 (0.27647) Boundary_loss: 0.012878 (0.012925) Loss: 0.26885 (0.28939) +2025-08-23,20:44:02 | INFO | Train Epoch: 8 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.23762 (0.27604) Boundary_loss: 0.012969 (0.012926) Loss: 0.25059 (0.28897) +2025-08-23,20:45:07 | INFO | Train Epoch: 8 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.26115 (0.27588) Boundary_loss: 0.012790 (0.012924) Loss: 0.27394 (0.28881) +2025-08-23,20:46:12 | INFO | Train Epoch: 8 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.18821 (0.27495) Boundary_loss: 0.012963 (0.012925) Loss: 0.20117 (0.28788) +2025-08-23,20:47:17 | INFO | Train Epoch: 8 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.30645 (0.27528) Boundary_loss: 0.012941 (0.012925) Loss: 0.31939 (0.28821) +2025-08-23,20:48:22 | INFO | Train Epoch: 8 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.24177 (0.27493) Boundary_loss: 0.012796 (0.012923) Loss: 0.25457 (0.28786) +2025-08-23,20:49:27 | INFO | Train Epoch: 8 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.28808 (0.27507) Boundary_loss: 0.012900 (0.012923) Loss: 0.30098 (0.28799) +2025-08-23,20:50:32 | INFO | Train Epoch: 8 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.29008 (0.27522) Boundary_loss: 0.012797 (0.012922) Loss: 0.30287 (0.28814) +2025-08-23,20:51:37 | INFO | Train Epoch: 8 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.28342 (0.27531) Boundary_loss: 0.013026 (0.012923) Loss: 0.29644 (0.28823) +2025-08-23,20:52:42 | INFO | Train Epoch: 8 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.28086 (0.27536) Boundary_loss: 0.012830 (0.012922) Loss: 0.29369 (0.28828) +2025-08-23,20:53:47 | INFO | Train Epoch: 8 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.25109 (0.27512) Boundary_loss: 0.012899 (0.012922) Loss: 0.26399 (0.28804) +2025-08-23,20:54:52 | INFO | Train Epoch: 8 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.28787 (0.27525) Boundary_loss: 0.012934 (0.012922) Loss: 0.30081 (0.28817) +2025-08-23,20:55:57 | INFO | Train Epoch: 8 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.21184 (0.27463) Boundary_loss: 0.012992 (0.012923) Loss: 0.22483 (0.28755) +2025-08-23,20:57:02 | INFO | Train Epoch: 8 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.28110 (0.27469) Boundary_loss: 0.012946 (0.012923) Loss: 0.29405 (0.28762) +2025-08-23,20:58:07 | INFO | Train Epoch: 8 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.28740 (0.27481) Boundary_loss: 0.012827 (0.012922) Loss: 0.30023 (0.28774) +2025-08-23,20:59:12 | INFO | Train Epoch: 8 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.26943 (0.27476) Boundary_loss: 0.012933 (0.012922) Loss: 0.28236 (0.28768) +2025-08-23,21:00:17 | INFO | Train Epoch: 8 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 0.28837 (0.27489) Boundary_loss: 0.012913 (0.012922) Loss: 0.30129 (0.28781) +2025-08-23,21:01:22 | INFO | Train Epoch: 8 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.26636 (0.27481) Boundary_loss: 0.012874 (0.012921) Loss: 0.27923 (0.28773) +2025-08-23,21:02:27 | INFO | Train Epoch: 8 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.24176 (0.27451) Boundary_loss: 0.012952 (0.012922) Loss: 0.25471 (0.28743) +2025-08-23,21:03:32 | INFO | Train Epoch: 8 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.24966 (0.27428) Boundary_loss: 0.012839 (0.012921) Loss: 0.26249 (0.28720) +2025-08-23,21:04:37 | INFO | Train Epoch: 8 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 18.893 Boundary Ratio: 0.096 Contrastive_loss: 0.21580 (0.27375) Boundary_loss: 0.012941 (0.012921) Loss: 0.22874 (0.28668) +2025-08-23,21:05:42 | INFO | Train Epoch: 8 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.27729 (0.27379) Boundary_loss: 0.012941 (0.012921) Loss: 0.29024 (0.28671) +2025-08-23,21:06:47 | INFO | Train Epoch: 8 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.20950 (0.27322) Boundary_loss: 0.012989 (0.012922) Loss: 0.22248 (0.28614) +2025-08-23,21:07:52 | INFO | Train Epoch: 8 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.27076 (0.27320) Boundary_loss: 0.012921 (0.012922) Loss: 0.28369 (0.28612) +2025-08-23,21:08:57 | INFO | Train Epoch: 8 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.24873 (0.27298) Boundary_loss: 0.012959 (0.012922) Loss: 0.26169 (0.28591) +2025-08-23,21:10:02 | INFO | Train Epoch: 8 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.27022 (0.27296) Boundary_loss: 0.013025 (0.012923) Loss: 0.28325 (0.28588) +2025-08-23,21:11:07 | INFO | Train Epoch: 8 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.23498 (0.27263) Boundary_loss: 0.012867 (0.012923) Loss: 0.24785 (0.28556) +2025-08-23,21:12:12 | INFO | Train Epoch: 8 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.23719 (0.27233) Boundary_loss: 0.012852 (0.012922) Loss: 0.25004 (0.28526) +2025-08-23,21:13:18 | INFO | Train Epoch: 8 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.25773 (0.27221) Boundary_loss: 0.012847 (0.012921) Loss: 0.27058 (0.28513) +2025-08-23,21:14:23 | INFO | Train Epoch: 8 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 18.922 Boundary Ratio: 0.097 Contrastive_loss: 0.26112 (0.27212) Boundary_loss: 0.012975 (0.012922) Loss: 0.27410 (0.28504) +2025-08-23,21:15:28 | INFO | Train Epoch: 8 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.27004 (0.27210) Boundary_loss: 0.012881 (0.012922) Loss: 0.28292 (0.28502) +2025-08-23,21:16:33 | INFO | Train Epoch: 8 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 0.22227 (0.27169) Boundary_loss: 0.012939 (0.012922) Loss: 0.23521 (0.28462) +2025-08-23,21:17:38 | INFO | Train Epoch: 8 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.24927 (0.27151) Boundary_loss: 0.012976 (0.012922) Loss: 0.26225 (0.28443) +2025-08-23,21:18:43 | INFO | Train Epoch: 8 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.26292 (0.27144) Boundary_loss: 0.012839 (0.012921) Loss: 0.27576 (0.28436) +2025-08-23,21:19:48 | INFO | Train Epoch: 8 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.29946 (0.27167) Boundary_loss: 0.012937 (0.012922) Loss: 0.31240 (0.28459) +2025-08-23,21:20:53 | INFO | Train Epoch: 8 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.28766 (0.27179) Boundary_loss: 0.012859 (0.012921) Loss: 0.30052 (0.28471) +2025-08-23,21:21:58 | INFO | Train Epoch: 8 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.24149 (0.27155) Boundary_loss: 0.012969 (0.012921) Loss: 0.25446 (0.28448) +2025-08-23,21:23:03 | INFO | Train Epoch: 8 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.28703 (0.27168) Boundary_loss: 0.012986 (0.012922) Loss: 0.30001 (0.28460) +2025-08-23,21:24:08 | INFO | Train Epoch: 8 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.26644 (0.27163) Boundary_loss: 0.012824 (0.012921) Loss: 0.27926 (0.28456) +2025-08-23,21:25:13 | INFO | Train Epoch: 8 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.23810 (0.27138) Boundary_loss: 0.012937 (0.012921) Loss: 0.25104 (0.28430) +2025-08-23,21:26:18 | INFO | Train Epoch: 8 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.24105 (0.27115) Boundary_loss: 0.012868 (0.012921) Loss: 0.25391 (0.28407) +2025-08-23,21:27:23 | INFO | Train Epoch: 8 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.27650 (0.27119) Boundary_loss: 0.012864 (0.012920) Loss: 0.28937 (0.28411) +2025-08-23,21:28:28 | INFO | Train Epoch: 8 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.29441 (0.27136) Boundary_loss: 0.012943 (0.012921) Loss: 0.30736 (0.28428) +2025-08-23,21:29:33 | INFO | Train Epoch: 8 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.25571 (0.27124) Boundary_loss: 0.012908 (0.012921) Loss: 0.26862 (0.28416) +2025-08-23,21:30:38 | INFO | Train Epoch: 8 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.24686 (0.27106) Boundary_loss: 0.012907 (0.012920) Loss: 0.25977 (0.28398) +2025-08-23,21:31:43 | INFO | Train Epoch: 8 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.24082 (0.27084) Boundary_loss: 0.012810 (0.012920) Loss: 0.25363 (0.28376) +2025-08-23,21:32:48 | INFO | Train Epoch: 8 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.28744 (0.27096) Boundary_loss: 0.012843 (0.012919) Loss: 0.30028 (0.28388) +2025-08-23,21:33:53 | INFO | Train Epoch: 8 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.27335 (0.27098) Boundary_loss: 0.012835 (0.012918) Loss: 0.28618 (0.28390) +2025-08-23,21:34:58 | INFO | Train Epoch: 8 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.27647 (0.27102) Boundary_loss: 0.012821 (0.012918) Loss: 0.28929 (0.28394) +2025-08-23,21:36:03 | INFO | Train Epoch: 8 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.25027 (0.27087) Boundary_loss: 0.012893 (0.012918) Loss: 0.26316 (0.28379) +2025-08-23,21:37:08 | INFO | Train Epoch: 8 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.23057 (0.27058) Boundary_loss: 0.012865 (0.012917) Loss: 0.24343 (0.28350) +2025-08-23,21:38:13 | INFO | Train Epoch: 8 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.27116 (0.27059) Boundary_loss: 0.013102 (0.012919) Loss: 0.28426 (0.28351) +2025-08-23,21:39:18 | INFO | Train Epoch: 8 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.20802 (0.27015) Boundary_loss: 0.012919 (0.012919) Loss: 0.22094 (0.28307) +2025-08-23,21:40:23 | INFO | Train Epoch: 8 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.25742 (0.27006) Boundary_loss: 0.012836 (0.012918) Loss: 0.27025 (0.28298) +2025-08-23,21:41:28 | INFO | Train Epoch: 8 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 18.941 Boundary Ratio: 0.097 Contrastive_loss: 0.30974 (0.27034) Boundary_loss: 0.012898 (0.012918) Loss: 0.32264 (0.28325) +2025-08-23,21:42:33 | INFO | Train Epoch: 8 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.25132 (0.27021) Boundary_loss: 0.012829 (0.012917) Loss: 0.26415 (0.28312) +2025-08-23,21:43:38 | INFO | Train Epoch: 8 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.19958 (0.26973) Boundary_loss: 0.012923 (0.012917) Loss: 0.21251 (0.28264) +2025-08-23,21:44:43 | INFO | Train Epoch: 8 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.30575 (0.26997) Boundary_loss: 0.012837 (0.012917) Loss: 0.31858 (0.28289) +2025-08-23,21:45:48 | INFO | Train Epoch: 8 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.27626 (0.27001) Boundary_loss: 0.012857 (0.012916) Loss: 0.28912 (0.28293) +2025-08-23,21:46:53 | INFO | Train Epoch: 8 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.33162 (0.27042) Boundary_loss: 0.012918 (0.012916) Loss: 0.34454 (0.28334) +2025-08-23,21:47:58 | INFO | Train Epoch: 8 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.32876 (0.27081) Boundary_loss: 0.012889 (0.012916) Loss: 0.34165 (0.28372) +2025-08-23,21:49:03 | INFO | Train Epoch: 8 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.25546 (0.27071) Boundary_loss: 0.012911 (0.012916) Loss: 0.26837 (0.28362) +2025-08-23,21:50:08 | INFO | Train Epoch: 8 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.23257 (0.27046) Boundary_loss: 0.012786 (0.012915) Loss: 0.24536 (0.28337) +2025-08-23,21:51:13 | INFO | Train Epoch: 8 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.22670 (0.27017) Boundary_loss: 0.012959 (0.012916) Loss: 0.23966 (0.28309) +2025-08-23,21:52:18 | INFO | Train Epoch: 8 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.36045 (0.27076) Boundary_loss: 0.012895 (0.012915) Loss: 0.37334 (0.28367) +2025-08-23,21:53:23 | INFO | Train Epoch: 8 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.25849 (0.27068) Boundary_loss: 0.012901 (0.012915) Loss: 0.27139 (0.28359) +2025-08-23,21:54:28 | INFO | Train Epoch: 8 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.28141 (0.27075) Boundary_loss: 0.012947 (0.012915) Loss: 0.29436 (0.28366) +2025-08-23,21:55:34 | INFO | Train Epoch: 8 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.23029 (0.27049) Boundary_loss: 0.012948 (0.012916) Loss: 0.24324 (0.28341) +2025-08-23,21:56:39 | INFO | Train Epoch: 8 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.24962 (0.27036) Boundary_loss: 0.012844 (0.012915) Loss: 0.26247 (0.28327) +2025-08-23,21:57:44 | INFO | Train Epoch: 8 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 0.22028 (0.27005) Boundary_loss: 0.012945 (0.012915) Loss: 0.23323 (0.28296) +2025-08-23,21:58:49 | INFO | Train Epoch: 8 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.25944 (0.26998) Boundary_loss: 0.012927 (0.012916) Loss: 0.27237 (0.28290) +2025-08-23,21:59:54 | INFO | Train Epoch: 8 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.27742 (0.27003) Boundary_loss: 0.012995 (0.012916) Loss: 0.29041 (0.28294) +2025-08-23,22:00:59 | INFO | Train Epoch: 8 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.31375 (0.27029) Boundary_loss: 0.012948 (0.012916) Loss: 0.32670 (0.28321) +2025-08-23,22:02:04 | INFO | Train Epoch: 8 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 18.963 Boundary Ratio: 0.097 Contrastive_loss: 0.24839 (0.27016) Boundary_loss: 0.012957 (0.012916) Loss: 0.26134 (0.28308) +2025-08-23,22:03:09 | INFO | Train Epoch: 8 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.24206 (0.26999) Boundary_loss: 0.012972 (0.012917) Loss: 0.25504 (0.28291) +2025-08-23,22:04:14 | INFO | Train Epoch: 8 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.26079 (0.26993) Boundary_loss: 0.012912 (0.012917) Loss: 0.27371 (0.28285) +2025-08-23,22:05:19 | INFO | Train Epoch: 8 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.28439 (0.27002) Boundary_loss: 0.012901 (0.012917) Loss: 0.29729 (0.28294) +2025-08-23,22:06:24 | INFO | Train Epoch: 8 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.23785 (0.26983) Boundary_loss: 0.012903 (0.012917) Loss: 0.25076 (0.28275) +2025-08-23,22:07:29 | INFO | Train Epoch: 8 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.24971 (0.26971) Boundary_loss: 0.012963 (0.012917) Loss: 0.26268 (0.28263) +2025-08-23,22:08:34 | INFO | Train Epoch: 8 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.23948 (0.26953) Boundary_loss: 0.012910 (0.012917) Loss: 0.25239 (0.28245) +2025-08-23,22:09:39 | INFO | Train Epoch: 8 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.28298 (0.26961) Boundary_loss: 0.012828 (0.012916) Loss: 0.29581 (0.28253) +2025-08-23,22:10:44 | INFO | Train Epoch: 8 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.22817 (0.26937) Boundary_loss: 0.012927 (0.012916) Loss: 0.24110 (0.28229) +2025-08-23,22:11:49 | INFO | Train Epoch: 8 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.25531 (0.26929) Boundary_loss: 0.012856 (0.012916) Loss: 0.26816 (0.28221) +2025-08-23,22:12:54 | INFO | Train Epoch: 8 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.30662 (0.26950) Boundary_loss: 0.012843 (0.012916) Loss: 0.31946 (0.28242) +2025-08-23,22:13:59 | INFO | Train Epoch: 8 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.23332 (0.26930) Boundary_loss: 0.012937 (0.012916) Loss: 0.24626 (0.28221) +2025-08-23,22:15:04 | INFO | Train Epoch: 8 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.33101 (0.26965) Boundary_loss: 0.012949 (0.012916) Loss: 0.34396 (0.28256) +2025-08-23,22:16:10 | INFO | Train Epoch: 8 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 18.918 Boundary Ratio: 0.097 Contrastive_loss: 0.25915 (0.26959) Boundary_loss: 0.012928 (0.012916) Loss: 0.27208 (0.28250) +2025-08-23,22:17:15 | INFO | Train Epoch: 8 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.24069 (0.26943) Boundary_loss: 0.012792 (0.012915) Loss: 0.25348 (0.28234) +2025-08-23,22:18:20 | INFO | Train Epoch: 8 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.26411 (0.26940) Boundary_loss: 0.012897 (0.012915) Loss: 0.27701 (0.28231) +2025-08-23,22:19:25 | INFO | Train Epoch: 8 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.22861 (0.26917) Boundary_loss: 0.012911 (0.012915) Loss: 0.24152 (0.28209) +2025-08-23,22:20:30 | INFO | Train Epoch: 8 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.31841 (0.26944) Boundary_loss: 0.012862 (0.012915) Loss: 0.33127 (0.28236) +2025-08-23,22:21:35 | INFO | Train Epoch: 8 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.26672 (0.26943) Boundary_loss: 0.012879 (0.012915) Loss: 0.27960 (0.28234) +2025-08-23,22:22:40 | INFO | Train Epoch: 8 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.24080 (0.26927) Boundary_loss: 0.012883 (0.012914) Loss: 0.25369 (0.28219) +2025-08-23,22:23:45 | INFO | Train Epoch: 8 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 18.902 Boundary Ratio: 0.096 Contrastive_loss: 0.27947 (0.26933) Boundary_loss: 0.012908 (0.012914) Loss: 0.29238 (0.28224) +2025-08-23,22:24:50 | INFO | Train Epoch: 8 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.20219 (0.26896) Boundary_loss: 0.012836 (0.012914) Loss: 0.21502 (0.28188) +2025-08-23,22:25:55 | INFO | Train Epoch: 8 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.36048 (0.26946) Boundary_loss: 0.012977 (0.012914) Loss: 0.37346 (0.28237) +2025-08-23,22:27:00 | INFO | Train Epoch: 8 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.27285 (0.26947) Boundary_loss: 0.012880 (0.012914) Loss: 0.28573 (0.28239) +2025-08-23,22:28:05 | INFO | Train Epoch: 8 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.23031 (0.26927) Boundary_loss: 0.012956 (0.012914) Loss: 0.24327 (0.28218) +2025-08-23,22:29:10 | INFO | Train Epoch: 8 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.24203 (0.26912) Boundary_loss: 0.012905 (0.012914) Loss: 0.25493 (0.28204) +2025-08-23,22:30:15 | INFO | Train Epoch: 8 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.30128 (0.26929) Boundary_loss: 0.012822 (0.012914) Loss: 0.31410 (0.28220) +2025-08-23,22:31:20 | INFO | Train Epoch: 8 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.24832 (0.26918) Boundary_loss: 0.012778 (0.012913) Loss: 0.26110 (0.28209) +2025-08-23,22:32:26 | INFO | Train Epoch: 8 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.24776 (0.26907) Boundary_loss: 0.012834 (0.012913) Loss: 0.26059 (0.28198) +2025-08-23,22:33:31 | INFO | Train Epoch: 8 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.25690 (0.26901) Boundary_loss: 0.012880 (0.012913) Loss: 0.26978 (0.28192) +2025-08-23,22:34:36 | INFO | Train Epoch: 8 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.21848 (0.26875) Boundary_loss: 0.012862 (0.012912) Loss: 0.23134 (0.28166) +2025-08-23,22:35:41 | INFO | Train Epoch: 8 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.24215 (0.26861) Boundary_loss: 0.012889 (0.012912) Loss: 0.25504 (0.28152) +2025-08-23,22:36:46 | INFO | Train Epoch: 8 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.22595 (0.26839) Boundary_loss: 0.012894 (0.012912) Loss: 0.23885 (0.28130) +2025-08-23,22:37:51 | INFO | Train Epoch: 8 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.23705 (0.26823) Boundary_loss: 0.012824 (0.012912) Loss: 0.24987 (0.28114) +2025-08-23,22:38:56 | INFO | Train Epoch: 8 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.17929 (0.26778) Boundary_loss: 0.012920 (0.012912) Loss: 0.19222 (0.28069) +2025-08-23,22:40:01 | INFO | Train Epoch: 8 [10138112/26365952 (38%)] Avg Boundaries (per batch): 18.893 Boundary Ratio: 0.096 Contrastive_loss: 0.21699 (0.26753) Boundary_loss: 0.012789 (0.012911) Loss: 0.22978 (0.28044) +2025-08-23,22:41:06 | INFO | Train Epoch: 8 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.27470 (0.26756) Boundary_loss: 0.012901 (0.012911) Loss: 0.28760 (0.28047) +2025-08-23,22:42:11 | INFO | Train Epoch: 8 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.26767 (0.26756) Boundary_loss: 0.012900 (0.012911) Loss: 0.28057 (0.28048) +2025-08-23,22:43:16 | INFO | Train Epoch: 8 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.27497 (0.26760) Boundary_loss: 0.012897 (0.012911) Loss: 0.28787 (0.28051) +2025-08-23,22:44:21 | INFO | Train Epoch: 8 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.25172 (0.26752) Boundary_loss: 0.012950 (0.012911) Loss: 0.26467 (0.28043) +2025-08-23,22:45:27 | INFO | Train Epoch: 8 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.30199 (0.26769) Boundary_loss: 0.012869 (0.012911) Loss: 0.31486 (0.28060) +2025-08-23,22:46:32 | INFO | Train Epoch: 8 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.23325 (0.26752) Boundary_loss: 0.012962 (0.012911) Loss: 0.24621 (0.28043) +2025-08-23,22:47:37 | INFO | Train Epoch: 8 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.21737 (0.26728) Boundary_loss: 0.012912 (0.012911) Loss: 0.23029 (0.28019) +2025-08-23,22:48:42 | INFO | Train Epoch: 8 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.23499 (0.26712) Boundary_loss: 0.012862 (0.012911) Loss: 0.24786 (0.28004) +2025-08-23,22:49:47 | INFO | Train Epoch: 8 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.24655 (0.26703) Boundary_loss: 0.012863 (0.012911) Loss: 0.25941 (0.27994) +2025-08-23,22:50:52 | INFO | Train Epoch: 8 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.27062 (0.26704) Boundary_loss: 0.013019 (0.012911) Loss: 0.28364 (0.27995) +2025-08-23,22:51:57 | INFO | Train Epoch: 8 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.19393 (0.26669) Boundary_loss: 0.012967 (0.012911) Loss: 0.20690 (0.27961) +2025-08-23,22:53:02 | INFO | Train Epoch: 8 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.27370 (0.26673) Boundary_loss: 0.012884 (0.012911) Loss: 0.28658 (0.27964) +2025-08-23,22:54:07 | INFO | Train Epoch: 8 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.641 Boundary Ratio: 0.100 Contrastive_loss: 0.30979 (0.26693) Boundary_loss: 0.012886 (0.012911) Loss: 0.32267 (0.27984) +2025-08-23,22:55:13 | INFO | Train Epoch: 8 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.26830 (0.26694) Boundary_loss: 0.012962 (0.012911) Loss: 0.28126 (0.27985) +2025-08-23,22:56:18 | INFO | Train Epoch: 8 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 0.22295 (0.26673) Boundary_loss: 0.012848 (0.012911) Loss: 0.23579 (0.27964) +2025-08-23,22:57:23 | INFO | Train Epoch: 8 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.22301 (0.26653) Boundary_loss: 0.012896 (0.012911) Loss: 0.23591 (0.27944) +2025-08-23,22:58:28 | INFO | Train Epoch: 8 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.22718 (0.26635) Boundary_loss: 0.012884 (0.012911) Loss: 0.24006 (0.27926) +2025-08-23,22:59:33 | INFO | Train Epoch: 8 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.28370 (0.26643) Boundary_loss: 0.012888 (0.012911) Loss: 0.29658 (0.27934) +2025-08-23,23:00:38 | INFO | Train Epoch: 8 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.29950 (0.26658) Boundary_loss: 0.012879 (0.012911) Loss: 0.31238 (0.27949) +2025-08-23,23:01:43 | INFO | Train Epoch: 8 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.28480 (0.26666) Boundary_loss: 0.012866 (0.012911) Loss: 0.29767 (0.27957) +2025-08-23,23:02:48 | INFO | Train Epoch: 8 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.30282 (0.26683) Boundary_loss: 0.012951 (0.012911) Loss: 0.31577 (0.27974) +2025-08-23,23:03:53 | INFO | Train Epoch: 8 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.19358 (0.26649) Boundary_loss: 0.012885 (0.012911) Loss: 0.20647 (0.27940) +2025-08-23,23:04:58 | INFO | Train Epoch: 8 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.26990 (0.26651) Boundary_loss: 0.012959 (0.012911) Loss: 0.28285 (0.27942) +2025-08-23,23:06:03 | INFO | Train Epoch: 8 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.26946 (0.26652) Boundary_loss: 0.012901 (0.012911) Loss: 0.28236 (0.27943) +2025-08-23,23:07:09 | INFO | Train Epoch: 8 [11418112/26365952 (43%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 0.26515 (0.26652) Boundary_loss: 0.012905 (0.012911) Loss: 0.27805 (0.27943) +2025-08-23,23:08:14 | INFO | Train Epoch: 8 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.24304 (0.26641) Boundary_loss: 0.012991 (0.012911) Loss: 0.25603 (0.27932) +2025-08-23,23:09:19 | INFO | Train Epoch: 8 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.22799 (0.26624) Boundary_loss: 0.012971 (0.012911) Loss: 0.24096 (0.27915) +2025-08-23,23:10:24 | INFO | Train Epoch: 8 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.24851 (0.26616) Boundary_loss: 0.012822 (0.012911) Loss: 0.26133 (0.27907) +2025-08-23,23:11:29 | INFO | Train Epoch: 8 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.20741 (0.26591) Boundary_loss: 0.012920 (0.012911) Loss: 0.22033 (0.27882) +2025-08-23,23:12:34 | INFO | Train Epoch: 8 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.27877 (0.26596) Boundary_loss: 0.012956 (0.012911) Loss: 0.29172 (0.27887) +2025-08-23,23:13:39 | INFO | Train Epoch: 8 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.33661 (0.26627) Boundary_loss: 0.012882 (0.012911) Loss: 0.34949 (0.27918) +2025-08-23,23:14:44 | INFO | Train Epoch: 8 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.28597 (0.26635) Boundary_loss: 0.012943 (0.012911) Loss: 0.29891 (0.27927) +2025-08-23,23:15:49 | INFO | Train Epoch: 8 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.26407 (0.26634) Boundary_loss: 0.012848 (0.012911) Loss: 0.27692 (0.27926) +2025-08-23,23:16:54 | INFO | Train Epoch: 8 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.26446 (0.26634) Boundary_loss: 0.013012 (0.012911) Loss: 0.27748 (0.27925) +2025-08-23,23:17:59 | INFO | Train Epoch: 8 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.29806 (0.26647) Boundary_loss: 0.012889 (0.012911) Loss: 0.31095 (0.27938) +2025-08-23,23:19:04 | INFO | Train Epoch: 8 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.25677 (0.26643) Boundary_loss: 0.012851 (0.012911) Loss: 0.26962 (0.27934) +2025-08-23,23:20:10 | INFO | Train Epoch: 8 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.28663 (0.26652) Boundary_loss: 0.012924 (0.012911) Loss: 0.29956 (0.27943) +2025-08-23,23:21:15 | INFO | Train Epoch: 8 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.27526 (0.26655) Boundary_loss: 0.012901 (0.012911) Loss: 0.28816 (0.27946) +2025-08-23,23:22:20 | INFO | Train Epoch: 8 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.26740 (0.26656) Boundary_loss: 0.012932 (0.012911) Loss: 0.28034 (0.27947) +2025-08-23,23:23:25 | INFO | Train Epoch: 8 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.20240 (0.26629) Boundary_loss: 0.012808 (0.012911) Loss: 0.21521 (0.27920) +2025-08-23,23:24:30 | INFO | Train Epoch: 8 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.27720 (0.26633) Boundary_loss: 0.012908 (0.012911) Loss: 0.29011 (0.27924) +2025-08-23,23:25:35 | INFO | Train Epoch: 8 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.21594 (0.26612) Boundary_loss: 0.012866 (0.012910) Loss: 0.22880 (0.27904) +2025-08-23,23:26:40 | INFO | Train Epoch: 8 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.22226 (0.26594) Boundary_loss: 0.012960 (0.012911) Loss: 0.23522 (0.27885) +2025-08-23,23:27:45 | INFO | Train Epoch: 8 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.25787 (0.26591) Boundary_loss: 0.012875 (0.012911) Loss: 0.27074 (0.27882) +2025-08-23,23:28:50 | INFO | Train Epoch: 8 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.31938 (0.26613) Boundary_loss: 0.012890 (0.012910) Loss: 0.33227 (0.27904) +2025-08-23,23:29:55 | INFO | Train Epoch: 8 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.30137 (0.26627) Boundary_loss: 0.012893 (0.012910) Loss: 0.31426 (0.27918) +2025-08-23,23:31:00 | INFO | Train Epoch: 8 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.30100 (0.26641) Boundary_loss: 0.012793 (0.012910) Loss: 0.31380 (0.27932) +2025-08-23,23:32:05 | INFO | Train Epoch: 8 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.28245 (0.26648) Boundary_loss: 0.012887 (0.012910) Loss: 0.29534 (0.27939) +2025-08-23,23:33:10 | INFO | Train Epoch: 8 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.26554 (0.26648) Boundary_loss: 0.012829 (0.012909) Loss: 0.27837 (0.27939) +2025-08-23,23:34:15 | INFO | Train Epoch: 8 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.20648 (0.26623) Boundary_loss: 0.012854 (0.012909) Loss: 0.21933 (0.27914) +2025-08-23,23:35:21 | INFO | Train Epoch: 8 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 0.23520 (0.26611) Boundary_loss: 0.012941 (0.012909) Loss: 0.24814 (0.27902) +2025-08-23,23:36:26 | INFO | Train Epoch: 8 [12800512/26365952 (49%)] Avg Boundaries (per batch): 18.961 Boundary Ratio: 0.097 Contrastive_loss: 0.20961 (0.26589) Boundary_loss: 0.012837 (0.012909) Loss: 0.22244 (0.27879) +2025-08-23,23:37:31 | INFO | Train Epoch: 8 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.27532 (0.26592) Boundary_loss: 0.012932 (0.012909) Loss: 0.28825 (0.27883) +2025-08-23,23:38:36 | INFO | Train Epoch: 8 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.24635 (0.26585) Boundary_loss: 0.012947 (0.012909) Loss: 0.25929 (0.27875) +2025-08-23,23:39:41 | INFO | Train Epoch: 8 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.20658 (0.26561) Boundary_loss: 0.012973 (0.012910) Loss: 0.21956 (0.27852) +2025-08-23,23:40:46 | INFO | Train Epoch: 8 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.22850 (0.26547) Boundary_loss: 0.012832 (0.012909) Loss: 0.24133 (0.27838) +2025-08-23,23:41:51 | INFO | Train Epoch: 8 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.24878 (0.26540) Boundary_loss: 0.012907 (0.012909) Loss: 0.26169 (0.27831) +2025-08-23,23:42:56 | INFO | Train Epoch: 8 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.24981 (0.26534) Boundary_loss: 0.012881 (0.012909) Loss: 0.26269 (0.27825) +2025-08-23,23:44:01 | INFO | Train Epoch: 8 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.24421 (0.26526) Boundary_loss: 0.012837 (0.012909) Loss: 0.25704 (0.27817) +2025-08-23,23:45:06 | INFO | Train Epoch: 8 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.27182 (0.26528) Boundary_loss: 0.012908 (0.012909) Loss: 0.28473 (0.27819) +2025-08-23,23:46:11 | INFO | Train Epoch: 8 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.30789 (0.26545) Boundary_loss: 0.012807 (0.012908) Loss: 0.32069 (0.27836) +2025-08-23,23:47:17 | INFO | Train Epoch: 8 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.26058 (0.26543) Boundary_loss: 0.012830 (0.012908) Loss: 0.27341 (0.27834) +2025-08-23,23:48:22 | INFO | Train Epoch: 8 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.24067 (0.26534) Boundary_loss: 0.012892 (0.012908) Loss: 0.25357 (0.27824) +2025-08-23,23:49:27 | INFO | Train Epoch: 8 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.23646 (0.26523) Boundary_loss: 0.012876 (0.012908) Loss: 0.24933 (0.27813) +2025-08-23,23:50:32 | INFO | Train Epoch: 8 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.621 Boundary Ratio: 0.100 Contrastive_loss: 0.24970 (0.26517) Boundary_loss: 0.012930 (0.012908) Loss: 0.26263 (0.27807) +2025-08-23,23:51:37 | INFO | Train Epoch: 8 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.25771 (0.26514) Boundary_loss: 0.012964 (0.012908) Loss: 0.27068 (0.27805) +2025-08-23,23:52:42 | INFO | Train Epoch: 8 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.28061 (0.26520) Boundary_loss: 0.012941 (0.012908) Loss: 0.29355 (0.27810) +2025-08-23,23:53:47 | INFO | Train Epoch: 8 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.29870 (0.26532) Boundary_loss: 0.012852 (0.012908) Loss: 0.31155 (0.27823) +2025-08-23,23:54:52 | INFO | Train Epoch: 8 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.24822 (0.26526) Boundary_loss: 0.012907 (0.012908) Loss: 0.26112 (0.27817) +2025-08-23,23:55:57 | INFO | Train Epoch: 8 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.27775 (0.26530) Boundary_loss: 0.012894 (0.012908) Loss: 0.29065 (0.27821) +2025-08-23,23:57:02 | INFO | Train Epoch: 8 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.24855 (0.26524) Boundary_loss: 0.012831 (0.012908) Loss: 0.26138 (0.27815) +2025-08-23,23:58:07 | INFO | Train Epoch: 8 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.30390 (0.26539) Boundary_loss: 0.012896 (0.012908) Loss: 0.31679 (0.27829) +2025-08-23,23:59:13 | INFO | Train Epoch: 8 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.27873 (0.26543) Boundary_loss: 0.012971 (0.012908) Loss: 0.29170 (0.27834) +2025-08-24,00:00:18 | INFO | Train Epoch: 8 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.27207 (0.26546) Boundary_loss: 0.012970 (0.012908) Loss: 0.28504 (0.27837) +2025-08-24,00:01:23 | INFO | Train Epoch: 8 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.26400 (0.26545) Boundary_loss: 0.012781 (0.012908) Loss: 0.27678 (0.27836) +2025-08-24,00:02:28 | INFO | Train Epoch: 8 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.34305 (0.26574) Boundary_loss: 0.013029 (0.012908) Loss: 0.35608 (0.27864) +2025-08-24,00:03:33 | INFO | Train Epoch: 8 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.29147 (0.26583) Boundary_loss: 0.012976 (0.012909) Loss: 0.30445 (0.27874) +2025-08-24,00:04:38 | INFO | Train Epoch: 8 [14131712/26365952 (54%)] Avg Boundaries (per batch): 18.818 Boundary Ratio: 0.096 Contrastive_loss: 0.26520 (0.26583) Boundary_loss: 0.012877 (0.012908) Loss: 0.27808 (0.27873) +2025-08-24,00:05:43 | INFO | Train Epoch: 8 [14182912/26365952 (54%)] Avg Boundaries (per batch): 18.861 Boundary Ratio: 0.096 Contrastive_loss: 0.20397 (0.26560) Boundary_loss: 0.012955 (0.012909) Loss: 0.21692 (0.27851) +2025-08-24,00:06:48 | INFO | Train Epoch: 8 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.29091 (0.26569) Boundary_loss: 0.012852 (0.012908) Loss: 0.30376 (0.27860) +2025-08-24,00:07:53 | INFO | Train Epoch: 8 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.35417 (0.26601) Boundary_loss: 0.012909 (0.012908) Loss: 0.36708 (0.27892) +2025-08-24,00:08:58 | INFO | Train Epoch: 8 [14336512/26365952 (54%)] Avg Boundaries (per batch): 18.965 Boundary Ratio: 0.097 Contrastive_loss: 0.26015 (0.26599) Boundary_loss: 0.012979 (0.012909) Loss: 0.27313 (0.27890) +2025-08-24,00:10:03 | INFO | Train Epoch: 8 [14387712/26365952 (55%)] Avg Boundaries (per batch): 18.955 Boundary Ratio: 0.097 Contrastive_loss: 0.22869 (0.26586) Boundary_loss: 0.013029 (0.012909) Loss: 0.24171 (0.27877) +2025-08-24,00:11:08 | INFO | Train Epoch: 8 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.26987 (0.26587) Boundary_loss: 0.012821 (0.012909) Loss: 0.28269 (0.27878) +2025-08-24,00:12:13 | INFO | Train Epoch: 8 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.22034 (0.26571) Boundary_loss: 0.012823 (0.012908) Loss: 0.23316 (0.27862) +2025-08-24,00:13:18 | INFO | Train Epoch: 8 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.28445 (0.26578) Boundary_loss: 0.012987 (0.012909) Loss: 0.29744 (0.27869) +2025-08-24,00:14:23 | INFO | Train Epoch: 8 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 0.22310 (0.26563) Boundary_loss: 0.012954 (0.012909) Loss: 0.23606 (0.27854) +2025-08-24,00:15:28 | INFO | Train Epoch: 8 [14643712/26365952 (56%)] Avg Boundaries (per batch): 18.879 Boundary Ratio: 0.096 Contrastive_loss: 0.26445 (0.26562) Boundary_loss: 0.012954 (0.012909) Loss: 0.27741 (0.27853) +2025-08-24,00:16:33 | INFO | Train Epoch: 8 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.19299 (0.26537) Boundary_loss: 0.012765 (0.012909) Loss: 0.20575 (0.27828) +2025-08-24,00:17:38 | INFO | Train Epoch: 8 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.29565 (0.26548) Boundary_loss: 0.012896 (0.012908) Loss: 0.30854 (0.27838) +2025-08-24,00:18:43 | INFO | Train Epoch: 8 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.32650 (0.26569) Boundary_loss: 0.012863 (0.012908) Loss: 0.33936 (0.27859) +2025-08-24,00:19:48 | INFO | Train Epoch: 8 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.28013 (0.26574) Boundary_loss: 0.012954 (0.012908) Loss: 0.29309 (0.27864) +2025-08-24,00:20:53 | INFO | Train Epoch: 8 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.25961 (0.26572) Boundary_loss: 0.012900 (0.012908) Loss: 0.27251 (0.27862) +2025-08-24,00:21:58 | INFO | Train Epoch: 8 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.39240 (0.26615) Boundary_loss: 0.012867 (0.012908) Loss: 0.40527 (0.27906) +2025-08-24,00:23:04 | INFO | Train Epoch: 8 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.28120 (0.26620) Boundary_loss: 0.012992 (0.012909) Loss: 0.29420 (0.27911) +2025-08-24,00:24:09 | INFO | Train Epoch: 8 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 0.23204 (0.26608) Boundary_loss: 0.012785 (0.012908) Loss: 0.24482 (0.27899) +2025-08-24,00:25:14 | INFO | Train Epoch: 8 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.29510 (0.26618) Boundary_loss: 0.012896 (0.012908) Loss: 0.30799 (0.27909) +2025-08-24,00:26:19 | INFO | Train Epoch: 8 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.21339 (0.26600) Boundary_loss: 0.012931 (0.012908) Loss: 0.22632 (0.27891) +2025-08-24,00:27:24 | INFO | Train Epoch: 8 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.22596 (0.26587) Boundary_loss: 0.012928 (0.012908) Loss: 0.23889 (0.27878) +2025-08-24,00:28:29 | INFO | Train Epoch: 8 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.22267 (0.26572) Boundary_loss: 0.012890 (0.012908) Loss: 0.23557 (0.27863) +2025-08-24,00:29:34 | INFO | Train Epoch: 8 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.23658 (0.26563) Boundary_loss: 0.013004 (0.012909) Loss: 0.24958 (0.27854) +2025-08-24,00:30:39 | INFO | Train Epoch: 8 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.23605 (0.26553) Boundary_loss: 0.012901 (0.012909) Loss: 0.24895 (0.27844) +2025-08-24,00:31:45 | INFO | Train Epoch: 8 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.31370 (0.26569) Boundary_loss: 0.012883 (0.012908) Loss: 0.32658 (0.27860) +2025-08-24,00:32:50 | INFO | Train Epoch: 8 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.27258 (0.26571) Boundary_loss: 0.012842 (0.012908) Loss: 0.28543 (0.27862) +2025-08-24,00:33:55 | INFO | Train Epoch: 8 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 0.23021 (0.26559) Boundary_loss: 0.012954 (0.012908) Loss: 0.24317 (0.27850) +2025-08-24,00:35:00 | INFO | Train Epoch: 8 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.21421 (0.26543) Boundary_loss: 0.012931 (0.012908) Loss: 0.22714 (0.27833) +2025-08-24,00:36:05 | INFO | Train Epoch: 8 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.28185 (0.26548) Boundary_loss: 0.012972 (0.012909) Loss: 0.29482 (0.27839) +2025-08-24,00:37:10 | INFO | Train Epoch: 8 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.26478 (0.26548) Boundary_loss: 0.012849 (0.012908) Loss: 0.27763 (0.27839) +2025-08-24,00:38:15 | INFO | Train Epoch: 8 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.26695 (0.26548) Boundary_loss: 0.012859 (0.012908) Loss: 0.27981 (0.27839) +2025-08-24,00:39:20 | INFO | Train Epoch: 8 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.32654 (0.26568) Boundary_loss: 0.012928 (0.012908) Loss: 0.33947 (0.27859) +2025-08-24,00:40:26 | INFO | Train Epoch: 8 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.22254 (0.26554) Boundary_loss: 0.012949 (0.012908) Loss: 0.23549 (0.27845) +2025-08-24,00:41:31 | INFO | Train Epoch: 8 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.25035 (0.26549) Boundary_loss: 0.012908 (0.012908) Loss: 0.26326 (0.27840) +2025-08-24,00:42:36 | INFO | Train Epoch: 8 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 0.27305 (0.26552) Boundary_loss: 0.012829 (0.012908) Loss: 0.28588 (0.27842) +2025-08-24,00:43:41 | INFO | Train Epoch: 8 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.26072 (0.26550) Boundary_loss: 0.012896 (0.012908) Loss: 0.27362 (0.27841) +2025-08-24,00:44:46 | INFO | Train Epoch: 8 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.22846 (0.26538) Boundary_loss: 0.012850 (0.012908) Loss: 0.24131 (0.27829) +2025-08-24,00:45:51 | INFO | Train Epoch: 8 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.23576 (0.26529) Boundary_loss: 0.012995 (0.012908) Loss: 0.24876 (0.27820) +2025-08-24,00:46:56 | INFO | Train Epoch: 8 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.30895 (0.26543) Boundary_loss: 0.012883 (0.012908) Loss: 0.32183 (0.27834) +2025-08-24,00:48:01 | INFO | Train Epoch: 8 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.004 Boundary Ratio: 0.097 Contrastive_loss: 0.27800 (0.26547) Boundary_loss: 0.012943 (0.012908) Loss: 0.29094 (0.27837) +2025-08-24,00:49:06 | INFO | Train Epoch: 8 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.14816 (0.26510) Boundary_loss: 0.012932 (0.012908) Loss: 0.16109 (0.27801) +2025-08-24,00:50:11 | INFO | Train Epoch: 8 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.30194 (0.26521) Boundary_loss: 0.012942 (0.012908) Loss: 0.31488 (0.27812) +2025-08-24,00:51:17 | INFO | Train Epoch: 8 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.22302 (0.26508) Boundary_loss: 0.012949 (0.012909) Loss: 0.23596 (0.27799) +2025-08-24,00:52:22 | INFO | Train Epoch: 8 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.19270 (0.26486) Boundary_loss: 0.012958 (0.012909) Loss: 0.20565 (0.27776) +2025-08-24,00:53:27 | INFO | Train Epoch: 8 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.22823 (0.26474) Boundary_loss: 0.012860 (0.012909) Loss: 0.24109 (0.27765) +2025-08-24,00:54:32 | INFO | Train Epoch: 8 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.26009 (0.26473) Boundary_loss: 0.012819 (0.012908) Loss: 0.27291 (0.27764) +2025-08-24,00:55:37 | INFO | Train Epoch: 8 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.27812 (0.26477) Boundary_loss: 0.012841 (0.012908) Loss: 0.29096 (0.27768) +2025-08-24,00:56:42 | INFO | Train Epoch: 8 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.29102 (0.26485) Boundary_loss: 0.012863 (0.012908) Loss: 0.30388 (0.27776) +2025-08-24,00:57:47 | INFO | Train Epoch: 8 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.26497 (0.26485) Boundary_loss: 0.012811 (0.012908) Loss: 0.27778 (0.27776) +2025-08-24,00:58:52 | INFO | Train Epoch: 8 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 0.24682 (0.26480) Boundary_loss: 0.012883 (0.012908) Loss: 0.25971 (0.27770) +2025-08-24,00:59:57 | INFO | Train Epoch: 8 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.25872 (0.26478) Boundary_loss: 0.012949 (0.012908) Loss: 0.27167 (0.27768) +2025-08-24,01:01:02 | INFO | Train Epoch: 8 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.22798 (0.26466) Boundary_loss: 0.012885 (0.012908) Loss: 0.24086 (0.27757) +2025-08-24,01:02:07 | INFO | Train Epoch: 8 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.26426 (0.26466) Boundary_loss: 0.012815 (0.012907) Loss: 0.27708 (0.27757) +2025-08-24,01:03:13 | INFO | Train Epoch: 8 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.24286 (0.26460) Boundary_loss: 0.012844 (0.012907) Loss: 0.25570 (0.27750) +2025-08-24,01:04:18 | INFO | Train Epoch: 8 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.23202 (0.26450) Boundary_loss: 0.012856 (0.012907) Loss: 0.24487 (0.27741) +2025-08-24,01:05:23 | INFO | Train Epoch: 8 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.32791 (0.26469) Boundary_loss: 0.012889 (0.012907) Loss: 0.34080 (0.27760) +2025-08-24,01:06:28 | INFO | Train Epoch: 8 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.25858 (0.26467) Boundary_loss: 0.012899 (0.012907) Loss: 0.27148 (0.27758) +2025-08-24,01:07:33 | INFO | Train Epoch: 8 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.24363 (0.26461) Boundary_loss: 0.012986 (0.012907) Loss: 0.25662 (0.27752) +2025-08-24,01:08:38 | INFO | Train Epoch: 8 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.24438 (0.26455) Boundary_loss: 0.013080 (0.012908) Loss: 0.25746 (0.27746) +2025-08-24,01:09:43 | INFO | Train Epoch: 8 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.27717 (0.26459) Boundary_loss: 0.012907 (0.012908) Loss: 0.29008 (0.27749) +2025-08-24,01:10:48 | INFO | Train Epoch: 8 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.26754 (0.26459) Boundary_loss: 0.012869 (0.012908) Loss: 0.28041 (0.27750) +2025-08-24,01:11:53 | INFO | Train Epoch: 8 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.30726 (0.26472) Boundary_loss: 0.012862 (0.012907) Loss: 0.32012 (0.27763) +2025-08-24,01:12:58 | INFO | Train Epoch: 8 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.26443 (0.26472) Boundary_loss: 0.012900 (0.012907) Loss: 0.27733 (0.27763) +2025-08-24,01:14:03 | INFO | Train Epoch: 8 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.24605 (0.26467) Boundary_loss: 0.012869 (0.012907) Loss: 0.25891 (0.27757) +2025-08-24,01:15:09 | INFO | Train Epoch: 8 [17459712/26365952 (66%)] Avg Boundaries (per batch): 18.881 Boundary Ratio: 0.096 Contrastive_loss: 0.21365 (0.26452) Boundary_loss: 0.012872 (0.012907) Loss: 0.22652 (0.27742) +2025-08-24,01:16:14 | INFO | Train Epoch: 8 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.23899 (0.26444) Boundary_loss: 0.012783 (0.012907) Loss: 0.25177 (0.27735) +2025-08-24,01:17:19 | INFO | Train Epoch: 8 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.28895 (0.26451) Boundary_loss: 0.012777 (0.012906) Loss: 0.30172 (0.27742) +2025-08-24,01:18:24 | INFO | Train Epoch: 8 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.24526 (0.26446) Boundary_loss: 0.012911 (0.012907) Loss: 0.25817 (0.27736) +2025-08-24,01:19:29 | INFO | Train Epoch: 8 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.22242 (0.26434) Boundary_loss: 0.012845 (0.012906) Loss: 0.23526 (0.27724) +2025-08-24,01:20:34 | INFO | Train Epoch: 8 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.24494 (0.26428) Boundary_loss: 0.012846 (0.012906) Loss: 0.25778 (0.27719) +2025-08-24,01:21:39 | INFO | Train Epoch: 8 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.22604 (0.26417) Boundary_loss: 0.012949 (0.012906) Loss: 0.23899 (0.27708) +2025-08-24,01:22:44 | INFO | Train Epoch: 8 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.676 Boundary Ratio: 0.100 Contrastive_loss: 0.28191 (0.26422) Boundary_loss: 0.013004 (0.012907) Loss: 0.29492 (0.27713) +2025-08-24,01:23:49 | INFO | Train Epoch: 8 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.22788 (0.26412) Boundary_loss: 0.012982 (0.012907) Loss: 0.24086 (0.27702) +2025-08-24,01:24:54 | INFO | Train Epoch: 8 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.21835 (0.26399) Boundary_loss: 0.012953 (0.012907) Loss: 0.23130 (0.27689) +2025-08-24,01:26:00 | INFO | Train Epoch: 8 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.25644 (0.26396) Boundary_loss: 0.012883 (0.012907) Loss: 0.26933 (0.27687) +2025-08-24,01:27:05 | INFO | Train Epoch: 8 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.23615 (0.26389) Boundary_loss: 0.012835 (0.012907) Loss: 0.24899 (0.27679) +2025-08-24,01:28:10 | INFO | Train Epoch: 8 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.20056 (0.26371) Boundary_loss: 0.012862 (0.012907) Loss: 0.21342 (0.27661) +2025-08-24,01:29:15 | INFO | Train Epoch: 8 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.23153 (0.26362) Boundary_loss: 0.012886 (0.012906) Loss: 0.24442 (0.27652) +2025-08-24,01:30:20 | INFO | Train Epoch: 8 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.23642 (0.26354) Boundary_loss: 0.012997 (0.012907) Loss: 0.24941 (0.27645) +2025-08-24,01:31:25 | INFO | Train Epoch: 8 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 0.25816 (0.26353) Boundary_loss: 0.012916 (0.012907) Loss: 0.27107 (0.27643) +2025-08-24,01:32:30 | INFO | Train Epoch: 8 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.24714 (0.26348) Boundary_loss: 0.012930 (0.012907) Loss: 0.26007 (0.27639) +2025-08-24,01:33:35 | INFO | Train Epoch: 8 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.18699 (0.26327) Boundary_loss: 0.012854 (0.012907) Loss: 0.19985 (0.27617) +2025-08-24,01:34:40 | INFO | Train Epoch: 8 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.22330 (0.26316) Boundary_loss: 0.012876 (0.012907) Loss: 0.23617 (0.27606) +2025-08-24,01:35:45 | INFO | Train Epoch: 8 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.27460 (0.26319) Boundary_loss: 0.012935 (0.012907) Loss: 0.28754 (0.27609) +2025-08-24,01:36:50 | INFO | Train Epoch: 8 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.24462 (0.26314) Boundary_loss: 0.012836 (0.012906) Loss: 0.25745 (0.27604) +2025-08-24,01:37:55 | INFO | Train Epoch: 8 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.24681 (0.26309) Boundary_loss: 0.012891 (0.012906) Loss: 0.25970 (0.27600) +2025-08-24,01:39:00 | INFO | Train Epoch: 8 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.18394 (0.26287) Boundary_loss: 0.012858 (0.012906) Loss: 0.19680 (0.27578) +2025-08-24,01:40:06 | INFO | Train Epoch: 8 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.26019 (0.26287) Boundary_loss: 0.012887 (0.012906) Loss: 0.27307 (0.27577) +2025-08-24,01:41:11 | INFO | Train Epoch: 8 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.24893 (0.26283) Boundary_loss: 0.012948 (0.012906) Loss: 0.26188 (0.27573) +2025-08-24,01:42:16 | INFO | Train Epoch: 8 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.676 Boundary Ratio: 0.100 Contrastive_loss: 0.27756 (0.26287) Boundary_loss: 0.012983 (0.012907) Loss: 0.29055 (0.27577) +2025-08-24,01:43:21 | INFO | Train Epoch: 8 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.29951 (0.26297) Boundary_loss: 0.012804 (0.012906) Loss: 0.31231 (0.27587) +2025-08-24,01:44:26 | INFO | Train Epoch: 8 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.27035 (0.26299) Boundary_loss: 0.012874 (0.012906) Loss: 0.28322 (0.27589) +2025-08-24,01:45:31 | INFO | Train Epoch: 8 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.25825 (0.26297) Boundary_loss: 0.013001 (0.012906) Loss: 0.27125 (0.27588) +2025-08-24,01:46:36 | INFO | Train Epoch: 8 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.25143 (0.26294) Boundary_loss: 0.012853 (0.012906) Loss: 0.26428 (0.27585) +2025-08-24,01:47:41 | INFO | Train Epoch: 8 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.27263 (0.26297) Boundary_loss: 0.012893 (0.012906) Loss: 0.28552 (0.27588) +2025-08-24,01:48:46 | INFO | Train Epoch: 8 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.24743 (0.26293) Boundary_loss: 0.012864 (0.012906) Loss: 0.26030 (0.27583) +2025-08-24,01:49:51 | INFO | Train Epoch: 8 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.25726 (0.26291) Boundary_loss: 0.012825 (0.012906) Loss: 0.27009 (0.27582) +2025-08-24,01:50:56 | INFO | Train Epoch: 8 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.25006 (0.26288) Boundary_loss: 0.012902 (0.012906) Loss: 0.26296 (0.27578) +2025-08-24,01:52:01 | INFO | Train Epoch: 8 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.26592 (0.26289) Boundary_loss: 0.012921 (0.012906) Loss: 0.27884 (0.27579) +2025-08-24,01:53:07 | INFO | Train Epoch: 8 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.34280 (0.26310) Boundary_loss: 0.012872 (0.012906) Loss: 0.35567 (0.27600) +2025-08-24,01:54:12 | INFO | Train Epoch: 8 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.38946 (0.26343) Boundary_loss: 0.012949 (0.012906) Loss: 0.40241 (0.27634) +2025-08-24,01:55:17 | INFO | Train Epoch: 8 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.26353 (0.26343) Boundary_loss: 0.012904 (0.012906) Loss: 0.27644 (0.27634) +2025-08-24,01:56:22 | INFO | Train Epoch: 8 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.30116 (0.26353) Boundary_loss: 0.012874 (0.012906) Loss: 0.31403 (0.27644) +2025-08-24,01:57:27 | INFO | Train Epoch: 8 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.25565 (0.26351) Boundary_loss: 0.012917 (0.012906) Loss: 0.26857 (0.27642) +2025-08-24,01:58:32 | INFO | Train Epoch: 8 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.26083 (0.26350) Boundary_loss: 0.012879 (0.012906) Loss: 0.27371 (0.27641) +2025-08-24,01:59:37 | INFO | Train Epoch: 8 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.20953 (0.26336) Boundary_loss: 0.012909 (0.012906) Loss: 0.22244 (0.27627) +2025-08-24,02:00:42 | INFO | Train Epoch: 8 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.26588 (0.26337) Boundary_loss: 0.012854 (0.012906) Loss: 0.27873 (0.27628) +2025-08-24,02:01:47 | INFO | Train Epoch: 8 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.22685 (0.26328) Boundary_loss: 0.012869 (0.012906) Loss: 0.23972 (0.27618) +2025-08-24,02:02:52 | INFO | Train Epoch: 8 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.23739 (0.26321) Boundary_loss: 0.012933 (0.012906) Loss: 0.25032 (0.27611) +2025-08-24,02:03:57 | INFO | Train Epoch: 8 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.25456 (0.26319) Boundary_loss: 0.012812 (0.012905) Loss: 0.26737 (0.27609) +2025-08-24,02:05:02 | INFO | Train Epoch: 8 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.27070 (0.26321) Boundary_loss: 0.012934 (0.012906) Loss: 0.28363 (0.27611) +2025-08-24,02:06:07 | INFO | Train Epoch: 8 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.26858 (0.26322) Boundary_loss: 0.012804 (0.012905) Loss: 0.28138 (0.27612) +2025-08-24,02:07:12 | INFO | Train Epoch: 8 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.23859 (0.26316) Boundary_loss: 0.012942 (0.012905) Loss: 0.25154 (0.27606) +2025-08-24,02:08:17 | INFO | Train Epoch: 8 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.29435 (0.26324) Boundary_loss: 0.012868 (0.012905) Loss: 0.30721 (0.27614) +2025-08-24,02:09:22 | INFO | Train Epoch: 8 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.25464 (0.26321) Boundary_loss: 0.012838 (0.012905) Loss: 0.26747 (0.27612) +2025-08-24,02:10:27 | INFO | Train Epoch: 8 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.29715 (0.26330) Boundary_loss: 0.012970 (0.012905) Loss: 0.31012 (0.27621) +2025-08-24,02:11:32 | INFO | Train Epoch: 8 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.25765 (0.26329) Boundary_loss: 0.012852 (0.012905) Loss: 0.27050 (0.27619) +2025-08-24,02:12:38 | INFO | Train Epoch: 8 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.26557 (0.26329) Boundary_loss: 0.012851 (0.012905) Loss: 0.27843 (0.27620) +2025-08-24,02:13:43 | INFO | Train Epoch: 8 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.004 Boundary Ratio: 0.097 Contrastive_loss: 0.26160 (0.26329) Boundary_loss: 0.012929 (0.012905) Loss: 0.27453 (0.27619) +2025-08-24,02:14:48 | INFO | Train Epoch: 8 [20275712/26365952 (77%)] Avg Boundaries (per batch): 18.912 Boundary Ratio: 0.096 Contrastive_loss: 0.33388 (0.26347) Boundary_loss: 0.012940 (0.012905) Loss: 0.34682 (0.27637) +2025-08-24,02:15:53 | INFO | Train Epoch: 8 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.24974 (0.26343) Boundary_loss: 0.012868 (0.012905) Loss: 0.26260 (0.27634) +2025-08-24,02:16:58 | INFO | Train Epoch: 8 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.33375 (0.26361) Boundary_loss: 0.012966 (0.012905) Loss: 0.34672 (0.27651) +2025-08-24,02:18:03 | INFO | Train Epoch: 8 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.26628 (0.26361) Boundary_loss: 0.012892 (0.012905) Loss: 0.27918 (0.27652) +2025-08-24,02:19:08 | INFO | Train Epoch: 8 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.26040 (0.26361) Boundary_loss: 0.012839 (0.012905) Loss: 0.27324 (0.27651) +2025-08-24,02:20:13 | INFO | Train Epoch: 8 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.22239 (0.26350) Boundary_loss: 0.012881 (0.012905) Loss: 0.23527 (0.27641) +2025-08-24,02:21:18 | INFO | Train Epoch: 8 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.22674 (0.26341) Boundary_loss: 0.012807 (0.012905) Loss: 0.23955 (0.27632) +2025-08-24,02:22:23 | INFO | Train Epoch: 8 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.26349 (0.26341) Boundary_loss: 0.012844 (0.012905) Loss: 0.27634 (0.27632) +2025-08-24,02:23:28 | INFO | Train Epoch: 8 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.22149 (0.26331) Boundary_loss: 0.012886 (0.012904) Loss: 0.23438 (0.27621) +2025-08-24,02:24:33 | INFO | Train Epoch: 8 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.19978 (0.26315) Boundary_loss: 0.012922 (0.012905) Loss: 0.21270 (0.27606) +2025-08-24,02:25:38 | INFO | Train Epoch: 8 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.20703 (0.26301) Boundary_loss: 0.012896 (0.012905) Loss: 0.21993 (0.27592) +2025-08-24,02:26:43 | INFO | Train Epoch: 8 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.30039 (0.26311) Boundary_loss: 0.012964 (0.012905) Loss: 0.31335 (0.27601) +2025-08-24,02:27:49 | INFO | Train Epoch: 8 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.24715 (0.26307) Boundary_loss: 0.012884 (0.012905) Loss: 0.26003 (0.27597) +2025-08-24,02:28:54 | INFO | Train Epoch: 8 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.28752 (0.26313) Boundary_loss: 0.012875 (0.012905) Loss: 0.30040 (0.27603) +2025-08-24,02:29:59 | INFO | Train Epoch: 8 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.24274 (0.26308) Boundary_loss: 0.012872 (0.012904) Loss: 0.25561 (0.27598) +2025-08-24,02:31:04 | INFO | Train Epoch: 8 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.26579 (0.26308) Boundary_loss: 0.013013 (0.012905) Loss: 0.27880 (0.27599) +2025-08-24,02:32:09 | INFO | Train Epoch: 8 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.26382 (0.26309) Boundary_loss: 0.012812 (0.012904) Loss: 0.27664 (0.27599) +2025-08-24,02:33:14 | INFO | Train Epoch: 8 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.24220 (0.26303) Boundary_loss: 0.012851 (0.012904) Loss: 0.25505 (0.27594) +2025-08-24,02:34:19 | INFO | Train Epoch: 8 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.26261 (0.26303) Boundary_loss: 0.012895 (0.012904) Loss: 0.27551 (0.27594) +2025-08-24,02:35:24 | INFO | Train Epoch: 8 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.25823 (0.26302) Boundary_loss: 0.012984 (0.012905) Loss: 0.27122 (0.27593) +2025-08-24,02:36:29 | INFO | Train Epoch: 8 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.25212 (0.26300) Boundary_loss: 0.012873 (0.012904) Loss: 0.26500 (0.27590) +2025-08-24,02:37:34 | INFO | Train Epoch: 8 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 0.24792 (0.26296) Boundary_loss: 0.012942 (0.012905) Loss: 0.26086 (0.27586) +2025-08-24,02:38:39 | INFO | Train Epoch: 8 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.25921 (0.26295) Boundary_loss: 0.012902 (0.012905) Loss: 0.27211 (0.27586) +2025-08-24,02:39:44 | INFO | Train Epoch: 8 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.30843 (0.26306) Boundary_loss: 0.012802 (0.012904) Loss: 0.32123 (0.27596) +2025-08-24,02:40:49 | INFO | Train Epoch: 8 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.21181 (0.26294) Boundary_loss: 0.012887 (0.012904) Loss: 0.22470 (0.27584) +2025-08-24,02:41:54 | INFO | Train Epoch: 8 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.26403 (0.26294) Boundary_loss: 0.012991 (0.012904) Loss: 0.27702 (0.27584) +2025-08-24,02:42:59 | INFO | Train Epoch: 8 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.23365 (0.26287) Boundary_loss: 0.012832 (0.012904) Loss: 0.24648 (0.27578) +2025-08-24,02:44:05 | INFO | Train Epoch: 8 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.26514 (0.26288) Boundary_loss: 0.012793 (0.012904) Loss: 0.27793 (0.27578) +2025-08-24,02:45:10 | INFO | Train Epoch: 8 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.23972 (0.26282) Boundary_loss: 0.012853 (0.012904) Loss: 0.25258 (0.27573) +2025-08-24,02:46:15 | INFO | Train Epoch: 8 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.26090 (0.26282) Boundary_loss: 0.012863 (0.012904) Loss: 0.27376 (0.27572) +2025-08-24,02:47:20 | INFO | Train Epoch: 8 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.26057 (0.26281) Boundary_loss: 0.012825 (0.012904) Loss: 0.27339 (0.27572) +2025-08-24,02:48:25 | INFO | Train Epoch: 8 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.30608 (0.26291) Boundary_loss: 0.012825 (0.012903) Loss: 0.31891 (0.27582) +2025-08-24,02:49:30 | INFO | Train Epoch: 8 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.21890 (0.26281) Boundary_loss: 0.012944 (0.012904) Loss: 0.23184 (0.27571) +2025-08-24,02:50:35 | INFO | Train Epoch: 8 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.26749 (0.26282) Boundary_loss: 0.012899 (0.012904) Loss: 0.28039 (0.27573) +2025-08-24,02:51:40 | INFO | Train Epoch: 8 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.26310 (0.26282) Boundary_loss: 0.012965 (0.012904) Loss: 0.27606 (0.27573) +2025-08-24,02:52:45 | INFO | Train Epoch: 8 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.26002 (0.26282) Boundary_loss: 0.012840 (0.012904) Loss: 0.27285 (0.27572) +2025-08-24,02:53:50 | INFO | Train Epoch: 8 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.25912 (0.26281) Boundary_loss: 0.012872 (0.012903) Loss: 0.27199 (0.27571) +2025-08-24,02:54:55 | INFO | Train Epoch: 8 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.24647 (0.26277) Boundary_loss: 0.012824 (0.012903) Loss: 0.25929 (0.27567) +2025-08-24,02:56:00 | INFO | Train Epoch: 8 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 0.31410 (0.26289) Boundary_loss: 0.012907 (0.012903) Loss: 0.32701 (0.27579) +2025-08-24,02:57:05 | INFO | Train Epoch: 8 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.25022 (0.26286) Boundary_loss: 0.012881 (0.012903) Loss: 0.26310 (0.27576) +2025-08-24,02:58:10 | INFO | Train Epoch: 8 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.25785 (0.26285) Boundary_loss: 0.012926 (0.012903) Loss: 0.27077 (0.27575) +2025-08-24,02:59:16 | INFO | Train Epoch: 8 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.30138 (0.26293) Boundary_loss: 0.012864 (0.012903) Loss: 0.31424 (0.27584) +2025-08-24,03:00:21 | INFO | Train Epoch: 8 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.29138 (0.26300) Boundary_loss: 0.012922 (0.012903) Loss: 0.30430 (0.27590) +2025-08-24,03:01:26 | INFO | Train Epoch: 8 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.26468 (0.26300) Boundary_loss: 0.012774 (0.012903) Loss: 0.27745 (0.27591) +2025-08-24,03:02:31 | INFO | Train Epoch: 8 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.27886 (0.26304) Boundary_loss: 0.012837 (0.012903) Loss: 0.29170 (0.27594) +2025-08-24,03:03:36 | INFO | Train Epoch: 8 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.32662 (0.26318) Boundary_loss: 0.012998 (0.012903) Loss: 0.33962 (0.27609) +2025-08-24,03:04:41 | INFO | Train Epoch: 8 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.27260 (0.26320) Boundary_loss: 0.012972 (0.012903) Loss: 0.28558 (0.27611) +2025-08-24,03:05:46 | INFO | Train Epoch: 8 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.27802 (0.26324) Boundary_loss: 0.012854 (0.012903) Loss: 0.29087 (0.27614) +2025-08-24,03:06:51 | INFO | Train Epoch: 8 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.25121 (0.26321) Boundary_loss: 0.013096 (0.012903) Loss: 0.26431 (0.27611) +2025-08-24,03:07:56 | INFO | Train Epoch: 8 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.32969 (0.26336) Boundary_loss: 0.013004 (0.012904) Loss: 0.34269 (0.27626) +2025-08-24,03:09:01 | INFO | Train Epoch: 8 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.23680 (0.26330) Boundary_loss: 0.012863 (0.012904) Loss: 0.24966 (0.27620) +2025-08-24,03:10:07 | INFO | Train Epoch: 8 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.33289 (0.26346) Boundary_loss: 0.012929 (0.012904) Loss: 0.34582 (0.27636) +2025-08-24,03:11:12 | INFO | Train Epoch: 8 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.22723 (0.26338) Boundary_loss: 0.012867 (0.012904) Loss: 0.24010 (0.27628) +2025-08-24,03:12:17 | INFO | Train Epoch: 8 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.30406 (0.26347) Boundary_loss: 0.012824 (0.012903) Loss: 0.31689 (0.27637) +2025-08-24,03:13:22 | INFO | Train Epoch: 8 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.29253 (0.26353) Boundary_loss: 0.012882 (0.012903) Loss: 0.30541 (0.27643) +2025-08-24,03:14:27 | INFO | Train Epoch: 8 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.19113 (0.26337) Boundary_loss: 0.012925 (0.012903) Loss: 0.20405 (0.27627) +2025-08-24,03:15:32 | INFO | Train Epoch: 8 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.27324 (0.26339) Boundary_loss: 0.012827 (0.012903) Loss: 0.28607 (0.27629) +2025-08-24,03:16:37 | INFO | Train Epoch: 8 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.28158 (0.26343) Boundary_loss: 0.012928 (0.012903) Loss: 0.29451 (0.27634) +2025-08-24,03:17:42 | INFO | Train Epoch: 8 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.23820 (0.26338) Boundary_loss: 0.012849 (0.012903) Loss: 0.25105 (0.27628) +2025-08-24,03:18:48 | INFO | Train Epoch: 8 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.27054 (0.26339) Boundary_loss: 0.013018 (0.012903) Loss: 0.28356 (0.27630) +2025-08-24,03:19:53 | INFO | Train Epoch: 8 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.26748 (0.26340) Boundary_loss: 0.012849 (0.012903) Loss: 0.28033 (0.27630) +2025-08-24,03:20:58 | INFO | Train Epoch: 8 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.25337 (0.26338) Boundary_loss: 0.012841 (0.012903) Loss: 0.26621 (0.27628) +2025-08-24,03:22:03 | INFO | Train Epoch: 8 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.29362 (0.26344) Boundary_loss: 0.012937 (0.012903) Loss: 0.30655 (0.27635) +2025-08-24,03:23:08 | INFO | Train Epoch: 8 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.27509 (0.26347) Boundary_loss: 0.012894 (0.012903) Loss: 0.28798 (0.27637) +2025-08-24,03:24:13 | INFO | Train Epoch: 8 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.29456 (0.26354) Boundary_loss: 0.012973 (0.012903) Loss: 0.30753 (0.27644) +2025-08-24,03:25:18 | INFO | Train Epoch: 8 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.25103 (0.26351) Boundary_loss: 0.012856 (0.012903) Loss: 0.26388 (0.27641) +2025-08-24,03:26:23 | INFO | Train Epoch: 8 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.35286 (0.26370) Boundary_loss: 0.012927 (0.012903) Loss: 0.36578 (0.27661) +2025-08-24,03:27:28 | INFO | Train Epoch: 8 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.30507 (0.26379) Boundary_loss: 0.012931 (0.012903) Loss: 0.31800 (0.27670) +2025-08-24,03:28:33 | INFO | Train Epoch: 8 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.23051 (0.26372) Boundary_loss: 0.012913 (0.012903) Loss: 0.24342 (0.27662) +2025-08-24,03:29:39 | INFO | Train Epoch: 8 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.19988 (0.26358) Boundary_loss: 0.012999 (0.012904) Loss: 0.21288 (0.27649) +2025-08-24,03:30:44 | INFO | Train Epoch: 8 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.23157 (0.26352) Boundary_loss: 0.012895 (0.012904) Loss: 0.24447 (0.27642) +2025-08-24,03:31:49 | INFO | Train Epoch: 8 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.28151 (0.26355) Boundary_loss: 0.012922 (0.012904) Loss: 0.29443 (0.27646) +2025-08-24,03:32:54 | INFO | Train Epoch: 8 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.34622 (0.26373) Boundary_loss: 0.012952 (0.012904) Loss: 0.35918 (0.27663) +2025-08-24,03:33:59 | INFO | Train Epoch: 8 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.637 Boundary Ratio: 0.100 Contrastive_loss: 0.25802 (0.26372) Boundary_loss: 0.012882 (0.012904) Loss: 0.27090 (0.27662) +2025-08-24,03:35:04 | INFO | Train Epoch: 8 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.22093 (0.26363) Boundary_loss: 0.012808 (0.012903) Loss: 0.23374 (0.27653) +2025-08-24,03:36:09 | INFO | Train Epoch: 8 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.18617 (0.26346) Boundary_loss: 0.012826 (0.012903) Loss: 0.19900 (0.27637) +2025-08-24,03:37:14 | INFO | Train Epoch: 8 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.25257 (0.26344) Boundary_loss: 0.012831 (0.012903) Loss: 0.26540 (0.27634) +2025-08-24,03:38:19 | INFO | Train Epoch: 8 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.33167 (0.26358) Boundary_loss: 0.012872 (0.012903) Loss: 0.34454 (0.27649) +2025-08-24,03:39:24 | INFO | Train Epoch: 8 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.28897 (0.26364) Boundary_loss: 0.012863 (0.012903) Loss: 0.30183 (0.27654) +2025-08-24,03:40:30 | INFO | Train Epoch: 8 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.33174 (0.26378) Boundary_loss: 0.012932 (0.012903) Loss: 0.34467 (0.27668) +2025-08-24,03:41:35 | INFO | Train Epoch: 8 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.23971 (0.26373) Boundary_loss: 0.012838 (0.012903) Loss: 0.25255 (0.27663) +2025-08-24,03:42:40 | INFO | Train Epoch: 8 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.750 Boundary Ratio: 0.101 Contrastive_loss: 0.25973 (0.26372) Boundary_loss: 0.012961 (0.012903) Loss: 0.27269 (0.27662) +2025-08-24,03:43:45 | INFO | Train Epoch: 8 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.25391 (0.26370) Boundary_loss: 0.012843 (0.012903) Loss: 0.26675 (0.27660) +2025-08-24,03:44:50 | INFO | Train Epoch: 8 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.28206 (0.26374) Boundary_loss: 0.012924 (0.012903) Loss: 0.29499 (0.27664) +2025-08-24,03:45:55 | INFO | Train Epoch: 8 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.26046 (0.26373) Boundary_loss: 0.013002 (0.012903) Loss: 0.27346 (0.27664) +2025-08-24,03:47:00 | INFO | Train Epoch: 8 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.30639 (0.26382) Boundary_loss: 0.012822 (0.012903) Loss: 0.31921 (0.27672) +2025-08-24,03:48:05 | INFO | Train Epoch: 8 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.21003 (0.26371) Boundary_loss: 0.012907 (0.012903) Loss: 0.22294 (0.27661) +2025-08-24,03:49:10 | INFO | Train Epoch: 8 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.29782 (0.26378) Boundary_loss: 0.012898 (0.012903) Loss: 0.31071 (0.27668) +2025-08-24,03:50:15 | INFO | Train Epoch: 8 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.24394 (0.26374) Boundary_loss: 0.012814 (0.012903) Loss: 0.25675 (0.27664) +2025-08-24,03:51:20 | INFO | Train Epoch: 8 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.19762 (0.26360) Boundary_loss: 0.012876 (0.012903) Loss: 0.21050 (0.27651) +2025-08-24,03:52:25 | INFO | Train Epoch: 8 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.29260 (0.26366) Boundary_loss: 0.012873 (0.012903) Loss: 0.30547 (0.27657) +2025-08-24,03:53:31 | INFO | Train Epoch: 8 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.24772 (0.26363) Boundary_loss: 0.012980 (0.012903) Loss: 0.26070 (0.27653) +2025-08-24,03:54:36 | INFO | Train Epoch: 8 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.25382 (0.26361) Boundary_loss: 0.012828 (0.012903) Loss: 0.26665 (0.27651) +2025-08-24,03:55:41 | INFO | Train Epoch: 8 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.27286 (0.26363) Boundary_loss: 0.012887 (0.012903) Loss: 0.28575 (0.27653) +2025-08-24,03:56:46 | INFO | Train Epoch: 8 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.23698 (0.26357) Boundary_loss: 0.012822 (0.012903) Loss: 0.24981 (0.27648) +2025-08-24,03:57:51 | INFO | Train Epoch: 8 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.26086 (0.26357) Boundary_loss: 0.012901 (0.012903) Loss: 0.27376 (0.27647) +2025-08-24,03:58:56 | INFO | Train Epoch: 8 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.26151 (0.26357) Boundary_loss: 0.012875 (0.012902) Loss: 0.27439 (0.27647) +2025-08-24,04:00:01 | INFO | Train Epoch: 8 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.31157 (0.26366) Boundary_loss: 0.012865 (0.012902) Loss: 0.32444 (0.27656) +2025-08-24,04:01:06 | INFO | Train Epoch: 8 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.23806 (0.26361) Boundary_loss: 0.012854 (0.012902) Loss: 0.25091 (0.27651) +2025-08-24,04:02:11 | INFO | Train Epoch: 8 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.21772 (0.26352) Boundary_loss: 0.012860 (0.012902) Loss: 0.23058 (0.27642) +2025-08-24,04:03:16 | INFO | Train Epoch: 8 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.21739 (0.26343) Boundary_loss: 0.012852 (0.012902) Loss: 0.23024 (0.27633) +2025-08-24,04:04:21 | INFO | Train Epoch: 8 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.22622 (0.26335) Boundary_loss: 0.012823 (0.012902) Loss: 0.23904 (0.27625) +2025-08-24,04:05:26 | INFO | Train Epoch: 8 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.31447 (0.26345) Boundary_loss: 0.012958 (0.012902) Loss: 0.32742 (0.27636) +2025-08-24,04:06:31 | INFO | Train Epoch: 8 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.24209 (0.26341) Boundary_loss: 0.012900 (0.012902) Loss: 0.25499 (0.27631) +2025-08-24,04:07:36 | INFO | Train Epoch: 8 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.28084 (0.26345) Boundary_loss: 0.012900 (0.012902) Loss: 0.29374 (0.27635) +2025-08-24,04:08:41 | INFO | Train Epoch: 8 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.32009 (0.26356) Boundary_loss: 0.012948 (0.012902) Loss: 0.33304 (0.27646) +2025-08-24,04:09:47 | INFO | Train Epoch: 8 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.31349 (0.26366) Boundary_loss: 0.012750 (0.012902) Loss: 0.32624 (0.27656) +2025-08-24,04:10:52 | INFO | Train Epoch: 8 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.24674 (0.26362) Boundary_loss: 0.012974 (0.012902) Loss: 0.25972 (0.27653) +2025-08-24,04:11:57 | INFO | Train Epoch: 8 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.33034 (0.26376) Boundary_loss: 0.012944 (0.012902) Loss: 0.34329 (0.27666) +2025-08-24,04:13:02 | INFO | Train Epoch: 8 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.27720 (0.26378) Boundary_loss: 0.012858 (0.012902) Loss: 0.29006 (0.27668) +2025-08-24,04:14:07 | INFO | Train Epoch: 8 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.18721 (0.26363) Boundary_loss: 0.012763 (0.012902) Loss: 0.19997 (0.27653) +2025-08-24,04:15:12 | INFO | Train Epoch: 8 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.22001 (0.26355) Boundary_loss: 0.012848 (0.012902) Loss: 0.23286 (0.27645) +2025-08-24,04:16:17 | INFO | Train Epoch: 8 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.26112 (0.26354) Boundary_loss: 0.012908 (0.012902) Loss: 0.27403 (0.27644) +2025-08-24,04:17:22 | INFO | Train Epoch: 8 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.23135 (0.26348) Boundary_loss: 0.012913 (0.012902) Loss: 0.24427 (0.27638) +2025-08-24,04:18:27 | INFO | Train Epoch: 8 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.26140 (0.26347) Boundary_loss: 0.012992 (0.012902) Loss: 0.27439 (0.27638) +2025-08-24,04:19:32 | INFO | Train Epoch: 8 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.23301 (0.26341) Boundary_loss: 0.012859 (0.012902) Loss: 0.24587 (0.27632) +2025-08-24,04:20:37 | INFO | Train Epoch: 8 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.21833 (0.26333) Boundary_loss: 0.012852 (0.012902) Loss: 0.23119 (0.27623) +2025-08-24,04:21:42 | INFO | Train Epoch: 8 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.29240 (0.26338) Boundary_loss: 0.012862 (0.012902) Loss: 0.30526 (0.27628) +2025-08-24,04:22:47 | INFO | Train Epoch: 8 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.20740 (0.26327) Boundary_loss: 0.012928 (0.012902) Loss: 0.22033 (0.27618) +2025-08-24,04:23:49 | INFO | Train Epoch: 8 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.25278 (0.26325) Boundary_loss: 0.012952 (0.012902) Loss: 0.26573 (0.27616) +2025-08-24,04:23:49 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-24,04:23:49 | INFO | [Epoch 8] Average Step Time: 0.654s | Average GPU Memory: 37.3 GB +2025-08-24,04:23:49 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-24,04:23:49 | INFO | Starting zero-shot imagenet. +2025-08-24,04:23:49 | INFO | Building zero-shot classifier +2025-08-24,04:23:59 | INFO | Using classifier +2025-08-24,04:24:42 | INFO | Finished zero-shot imagenet. +2025-08-24,04:24:42 | INFO | Eval Epoch: 9 imagenet-zeroshot-val-top1: 0.2873 imagenet-zeroshot-val-top5: 0.5516 +2025-08-24,04:24:44 | INFO | Start epoch 9 +2025-08-24,04:24:46 | INFO | Train Epoch: 9 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.26443 (0.26443) Boundary_loss: 0.012880 (0.012880) Loss: 0.27731 (0.27731) +2025-08-24,04:25:51 | INFO | Train Epoch: 9 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.26719 (0.26581) Boundary_loss: 0.012877 (0.012878) Loss: 0.28007 (0.27869) +2025-08-24,04:26:56 | INFO | Train Epoch: 9 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.24714 (0.25959) Boundary_loss: 0.012818 (0.012858) Loss: 0.25996 (0.27244) +2025-08-24,04:28:01 | INFO | Train Epoch: 9 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.21286 (0.24790) Boundary_loss: 0.012798 (0.012843) Loss: 0.22566 (0.26075) +2025-08-24,04:29:06 | INFO | Train Epoch: 9 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.18025 (0.23437) Boundary_loss: 0.012875 (0.012850) Loss: 0.19313 (0.24722) +2025-08-24,04:30:10 | INFO | Train Epoch: 9 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.27179 (0.24061) Boundary_loss: 0.012808 (0.012843) Loss: 0.28460 (0.25345) +2025-08-24,04:31:15 | INFO | Train Epoch: 9 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.25815 (0.24312) Boundary_loss: 0.012926 (0.012855) Loss: 0.27108 (0.25597) +2025-08-24,04:32:20 | INFO | Train Epoch: 9 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.17703 (0.23485) Boundary_loss: 0.012988 (0.012871) Loss: 0.19002 (0.24773) +2025-08-24,04:33:25 | INFO | Train Epoch: 9 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.21644 (0.23281) Boundary_loss: 0.012890 (0.012873) Loss: 0.22933 (0.24568) +2025-08-24,04:34:30 | INFO | Train Epoch: 9 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.18418 (0.22795) Boundary_loss: 0.012892 (0.012875) Loss: 0.19707 (0.24082) +2025-08-24,04:35:35 | INFO | Train Epoch: 9 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.21192 (0.22649) Boundary_loss: 0.012869 (0.012875) Loss: 0.22479 (0.23936) +2025-08-24,04:36:40 | INFO | Train Epoch: 9 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.22776 (0.22659) Boundary_loss: 0.012843 (0.012872) Loss: 0.24060 (0.23947) +2025-08-24,04:37:45 | INFO | Train Epoch: 9 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.24619 (0.22810) Boundary_loss: 0.012780 (0.012865) Loss: 0.25897 (0.24097) +2025-08-24,04:38:50 | INFO | Train Epoch: 9 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.19310 (0.22560) Boundary_loss: 0.012780 (0.012859) Loss: 0.20588 (0.23846) +2025-08-24,04:39:55 | INFO | Train Epoch: 9 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.19136 (0.22332) Boundary_loss: 0.012946 (0.012865) Loss: 0.20431 (0.23618) +2025-08-24,04:41:00 | INFO | Train Epoch: 9 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.24565 (0.22471) Boundary_loss: 0.012858 (0.012864) Loss: 0.25850 (0.23758) +2025-08-24,04:42:04 | INFO | Train Epoch: 9 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 0.25936 (0.22675) Boundary_loss: 0.012895 (0.012866) Loss: 0.27225 (0.23962) +2025-08-24,04:43:09 | INFO | Train Epoch: 9 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.19880 (0.22520) Boundary_loss: 0.012939 (0.012870) Loss: 0.21173 (0.23807) +2025-08-24,04:44:14 | INFO | Train Epoch: 9 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.20506 (0.22414) Boundary_loss: 0.012786 (0.012866) Loss: 0.21784 (0.23700) +2025-08-24,04:45:19 | INFO | Train Epoch: 9 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.27151 (0.22651) Boundary_loss: 0.012931 (0.012869) Loss: 0.28444 (0.23938) +2025-08-24,04:46:24 | INFO | Train Epoch: 9 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.19227 (0.22488) Boundary_loss: 0.012853 (0.012868) Loss: 0.20512 (0.23775) +2025-08-24,04:47:29 | INFO | Train Epoch: 9 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.24143 (0.22563) Boundary_loss: 0.012887 (0.012869) Loss: 0.25432 (0.23850) +2025-08-24,04:48:34 | INFO | Train Epoch: 9 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.17922 (0.22361) Boundary_loss: 0.012873 (0.012869) Loss: 0.19209 (0.23648) +2025-08-24,04:49:39 | INFO | Train Epoch: 9 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 18.873 Boundary Ratio: 0.096 Contrastive_loss: 0.23385 (0.22404) Boundary_loss: 0.012853 (0.012869) Loss: 0.24670 (0.23691) +2025-08-24,04:50:44 | INFO | Train Epoch: 9 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 0.17194 (0.22195) Boundary_loss: 0.013045 (0.012876) Loss: 0.18499 (0.23483) +2025-08-24,04:51:49 | INFO | Train Epoch: 9 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.16337 (0.21970) Boundary_loss: 0.012892 (0.012876) Loss: 0.17626 (0.23258) +2025-08-24,04:52:54 | INFO | Train Epoch: 9 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 0.24355 (0.22058) Boundary_loss: 0.012964 (0.012879) Loss: 0.25651 (0.23346) +2025-08-24,04:53:59 | INFO | Train Epoch: 9 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.17326 (0.21889) Boundary_loss: 0.012945 (0.012882) Loss: 0.18620 (0.23178) +2025-08-24,04:55:04 | INFO | Train Epoch: 9 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.24408 (0.21976) Boundary_loss: 0.012902 (0.012883) Loss: 0.25698 (0.23264) +2025-08-24,04:56:09 | INFO | Train Epoch: 9 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 0.18803 (0.21870) Boundary_loss: 0.012909 (0.012883) Loss: 0.20094 (0.23159) +2025-08-24,04:57:14 | INFO | Train Epoch: 9 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.21252 (0.21851) Boundary_loss: 0.012851 (0.012882) Loss: 0.22537 (0.23139) +2025-08-24,04:58:19 | INFO | Train Epoch: 9 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.17669 (0.21720) Boundary_loss: 0.012861 (0.012882) Loss: 0.18955 (0.23008) +2025-08-24,04:59:24 | INFO | Train Epoch: 9 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.28559 (0.21927) Boundary_loss: 0.012803 (0.012879) Loss: 0.29839 (0.23215) +2025-08-24,05:00:29 | INFO | Train Epoch: 9 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.19741 (0.21863) Boundary_loss: 0.012871 (0.012879) Loss: 0.21028 (0.23151) +2025-08-24,05:01:33 | INFO | Train Epoch: 9 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.20804 (0.21833) Boundary_loss: 0.012852 (0.012878) Loss: 0.22089 (0.23120) +2025-08-24,05:02:38 | INFO | Train Epoch: 9 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.18705 (0.21746) Boundary_loss: 0.012809 (0.012876) Loss: 0.19985 (0.23033) +2025-08-24,05:03:43 | INFO | Train Epoch: 9 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.21529 (0.21740) Boundary_loss: 0.012940 (0.012878) Loss: 0.22823 (0.23028) +2025-08-24,05:04:48 | INFO | Train Epoch: 9 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.26819 (0.21873) Boundary_loss: 0.012845 (0.012877) Loss: 0.28103 (0.23161) +2025-08-24,05:05:53 | INFO | Train Epoch: 9 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.27004 (0.22005) Boundary_loss: 0.012970 (0.012880) Loss: 0.28301 (0.23293) +2025-08-24,05:06:58 | INFO | Train Epoch: 9 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.17725 (0.21898) Boundary_loss: 0.012905 (0.012880) Loss: 0.19016 (0.23186) +2025-08-24,05:08:03 | INFO | Train Epoch: 9 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.20267 (0.21858) Boundary_loss: 0.012798 (0.012878) Loss: 0.21547 (0.23146) +2025-08-24,05:09:08 | INFO | Train Epoch: 9 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.30438 (0.22063) Boundary_loss: 0.012819 (0.012877) Loss: 0.31720 (0.23350) +2025-08-24,05:10:13 | INFO | Train Epoch: 9 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.22232 (0.22066) Boundary_loss: 0.012853 (0.012876) Loss: 0.23517 (0.23354) +2025-08-24,05:11:18 | INFO | Train Epoch: 9 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.19964 (0.22019) Boundary_loss: 0.012881 (0.012876) Loss: 0.21252 (0.23306) +2025-08-24,05:12:23 | INFO | Train Epoch: 9 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.27619 (0.22143) Boundary_loss: 0.012878 (0.012876) Loss: 0.28906 (0.23431) +2025-08-24,05:13:28 | INFO | Train Epoch: 9 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.21333 (0.22125) Boundary_loss: 0.012880 (0.012876) Loss: 0.22621 (0.23413) +2025-08-24,05:14:33 | INFO | Train Epoch: 9 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.26969 (0.22229) Boundary_loss: 0.012903 (0.012877) Loss: 0.28260 (0.23516) +2025-08-24,05:15:38 | INFO | Train Epoch: 9 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.22627 (0.22237) Boundary_loss: 0.012847 (0.012876) Loss: 0.23912 (0.23525) +2025-08-24,05:16:43 | INFO | Train Epoch: 9 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.20660 (0.22205) Boundary_loss: 0.012865 (0.012876) Loss: 0.21947 (0.23492) +2025-08-24,05:17:48 | INFO | Train Epoch: 9 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.28328 (0.22327) Boundary_loss: 0.012950 (0.012878) Loss: 0.29623 (0.23615) +2025-08-24,05:18:53 | INFO | Train Epoch: 9 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.22048 (0.22322) Boundary_loss: 0.012792 (0.012876) Loss: 0.23327 (0.23609) +2025-08-24,05:19:58 | INFO | Train Epoch: 9 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.22178 (0.22319) Boundary_loss: 0.012870 (0.012876) Loss: 0.23465 (0.23607) +2025-08-24,05:21:03 | INFO | Train Epoch: 9 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.20466 (0.22284) Boundary_loss: 0.012880 (0.012876) Loss: 0.21754 (0.23572) +2025-08-24,05:22:08 | INFO | Train Epoch: 9 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.27503 (0.22381) Boundary_loss: 0.012874 (0.012876) Loss: 0.28791 (0.23668) +2025-08-24,05:23:13 | INFO | Train Epoch: 9 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.20994 (0.22355) Boundary_loss: 0.013022 (0.012879) Loss: 0.22296 (0.23643) +2025-08-24,05:24:18 | INFO | Train Epoch: 9 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.21330 (0.22337) Boundary_loss: 0.012960 (0.012880) Loss: 0.22626 (0.23625) +2025-08-24,05:25:23 | INFO | Train Epoch: 9 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.19026 (0.22279) Boundary_loss: 0.012747 (0.012878) Loss: 0.20301 (0.23567) +2025-08-24,05:26:28 | INFO | Train Epoch: 9 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.26087 (0.22345) Boundary_loss: 0.012927 (0.012879) Loss: 0.27380 (0.23633) +2025-08-24,05:27:33 | INFO | Train Epoch: 9 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.20290 (0.22310) Boundary_loss: 0.012784 (0.012877) Loss: 0.21569 (0.23598) +2025-08-24,05:28:38 | INFO | Train Epoch: 9 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.18397 (0.22245) Boundary_loss: 0.012890 (0.012877) Loss: 0.19686 (0.23532) +2025-08-24,05:29:43 | INFO | Train Epoch: 9 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.19585 (0.22201) Boundary_loss: 0.012862 (0.012877) Loss: 0.20871 (0.23489) +2025-08-24,05:30:48 | INFO | Train Epoch: 9 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.14564 (0.22078) Boundary_loss: 0.012820 (0.012876) Loss: 0.15846 (0.23365) +2025-08-24,05:31:53 | INFO | Train Epoch: 9 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.19958 (0.22044) Boundary_loss: 0.012816 (0.012875) Loss: 0.21240 (0.23332) +2025-08-24,05:32:58 | INFO | Train Epoch: 9 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.21011 (0.22028) Boundary_loss: 0.012862 (0.012875) Loss: 0.22297 (0.23316) +2025-08-24,05:34:03 | INFO | Train Epoch: 9 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.20288 (0.22001) Boundary_loss: 0.012875 (0.012875) Loss: 0.21575 (0.23289) +2025-08-24,05:35:08 | INFO | Train Epoch: 9 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.26300 (0.22066) Boundary_loss: 0.012877 (0.012875) Loss: 0.27588 (0.23354) +2025-08-24,05:36:13 | INFO | Train Epoch: 9 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.24947 (0.22109) Boundary_loss: 0.012878 (0.012875) Loss: 0.26235 (0.23397) +2025-08-24,05:37:18 | INFO | Train Epoch: 9 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.19091 (0.22065) Boundary_loss: 0.012937 (0.012876) Loss: 0.20384 (0.23353) +2025-08-24,05:38:23 | INFO | Train Epoch: 9 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.19308 (0.22025) Boundary_loss: 0.012977 (0.012877) Loss: 0.20605 (0.23313) +2025-08-24,05:39:28 | INFO | Train Epoch: 9 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.22990 (0.22039) Boundary_loss: 0.012832 (0.012877) Loss: 0.24273 (0.23326) +2025-08-24,05:40:33 | INFO | Train Epoch: 9 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.15967 (0.21953) Boundary_loss: 0.012882 (0.012877) Loss: 0.17255 (0.23241) +2025-08-24,05:41:38 | INFO | Train Epoch: 9 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.23364 (0.21973) Boundary_loss: 0.012874 (0.012877) Loss: 0.24651 (0.23261) +2025-08-24,05:42:43 | INFO | Train Epoch: 9 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.18975 (0.21932) Boundary_loss: 0.012946 (0.012878) Loss: 0.20270 (0.23220) +2025-08-24,05:43:48 | INFO | Train Epoch: 9 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.25630 (0.21982) Boundary_loss: 0.012829 (0.012877) Loss: 0.26913 (0.23270) +2025-08-24,05:44:53 | INFO | Train Epoch: 9 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.20045 (0.21956) Boundary_loss: 0.012814 (0.012876) Loss: 0.21327 (0.23244) +2025-08-24,05:45:58 | INFO | Train Epoch: 9 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.25202 (0.21999) Boundary_loss: 0.012900 (0.012876) Loss: 0.26492 (0.23286) +2025-08-24,05:47:03 | INFO | Train Epoch: 9 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.20346 (0.21977) Boundary_loss: 0.012840 (0.012876) Loss: 0.21630 (0.23265) +2025-08-24,05:48:08 | INFO | Train Epoch: 9 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.21983 (0.21977) Boundary_loss: 0.012789 (0.012875) Loss: 0.23262 (0.23265) +2025-08-24,05:49:14 | INFO | Train Epoch: 9 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.18401 (0.21932) Boundary_loss: 0.012834 (0.012874) Loss: 0.19684 (0.23219) +2025-08-24,05:50:19 | INFO | Train Epoch: 9 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.22409 (0.21938) Boundary_loss: 0.012963 (0.012875) Loss: 0.23705 (0.23226) +2025-08-24,05:51:24 | INFO | Train Epoch: 9 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.21249 (0.21930) Boundary_loss: 0.012825 (0.012875) Loss: 0.22532 (0.23217) +2025-08-24,05:52:29 | INFO | Train Epoch: 9 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.20593 (0.21913) Boundary_loss: 0.012885 (0.012875) Loss: 0.21881 (0.23201) +2025-08-24,05:53:34 | INFO | Train Epoch: 9 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.31687 (0.22031) Boundary_loss: 0.012852 (0.012875) Loss: 0.32972 (0.23318) +2025-08-24,05:54:39 | INFO | Train Epoch: 9 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.20503 (0.22013) Boundary_loss: 0.012889 (0.012875) Loss: 0.21792 (0.23300) +2025-08-24,05:55:44 | INFO | Train Epoch: 9 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.22013 (0.22013) Boundary_loss: 0.012956 (0.012876) Loss: 0.23308 (0.23300) +2025-08-24,05:56:49 | INFO | Train Epoch: 9 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.27949 (0.22082) Boundary_loss: 0.012892 (0.012876) Loss: 0.29238 (0.23369) +2025-08-24,05:57:54 | INFO | Train Epoch: 9 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.21163 (0.22071) Boundary_loss: 0.012907 (0.012876) Loss: 0.22454 (0.23359) +2025-08-24,05:58:59 | INFO | Train Epoch: 9 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.21382 (0.22063) Boundary_loss: 0.012908 (0.012877) Loss: 0.22673 (0.23351) +2025-08-24,06:00:04 | INFO | Train Epoch: 9 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.20946 (0.22051) Boundary_loss: 0.012912 (0.012877) Loss: 0.22237 (0.23339) +2025-08-24,06:01:09 | INFO | Train Epoch: 9 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.18200 (0.22008) Boundary_loss: 0.012883 (0.012877) Loss: 0.19489 (0.23296) +2025-08-24,06:02:14 | INFO | Train Epoch: 9 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.29249 (0.22088) Boundary_loss: 0.012959 (0.012878) Loss: 0.30545 (0.23375) +2025-08-24,06:03:19 | INFO | Train Epoch: 9 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.27703 (0.22149) Boundary_loss: 0.012928 (0.012879) Loss: 0.28996 (0.23437) +2025-08-24,06:04:24 | INFO | Train Epoch: 9 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.23019 (0.22158) Boundary_loss: 0.012774 (0.012877) Loss: 0.24297 (0.23446) +2025-08-24,06:05:29 | INFO | Train Epoch: 9 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.613 Boundary Ratio: 0.100 Contrastive_loss: 0.16992 (0.22103) Boundary_loss: 0.012788 (0.012877) Loss: 0.18271 (0.23391) +2025-08-24,06:06:34 | INFO | Train Epoch: 9 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.25270 (0.22136) Boundary_loss: 0.012836 (0.012876) Loss: 0.26553 (0.23424) +2025-08-24,06:07:39 | INFO | Train Epoch: 9 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.20497 (0.22119) Boundary_loss: 0.012814 (0.012875) Loss: 0.21778 (0.23407) +2025-08-24,06:08:44 | INFO | Train Epoch: 9 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.23264 (0.22131) Boundary_loss: 0.012887 (0.012876) Loss: 0.24552 (0.23419) +2025-08-24,06:09:49 | INFO | Train Epoch: 9 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.20438 (0.22114) Boundary_loss: 0.012833 (0.012875) Loss: 0.21722 (0.23401) +2025-08-24,06:10:54 | INFO | Train Epoch: 9 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.21350 (0.22106) Boundary_loss: 0.012928 (0.012876) Loss: 0.22643 (0.23394) +2025-08-24,06:11:59 | INFO | Train Epoch: 9 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.24721 (0.22132) Boundary_loss: 0.012892 (0.012876) Loss: 0.26010 (0.23420) +2025-08-24,06:13:04 | INFO | Train Epoch: 9 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.20402 (0.22115) Boundary_loss: 0.012951 (0.012877) Loss: 0.21697 (0.23403) +2025-08-24,06:14:09 | INFO | Train Epoch: 9 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.23067 (0.22124) Boundary_loss: 0.012939 (0.012877) Loss: 0.24361 (0.23412) +2025-08-24,06:15:14 | INFO | Train Epoch: 9 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.18894 (0.22093) Boundary_loss: 0.012831 (0.012877) Loss: 0.20178 (0.23381) +2025-08-24,06:16:19 | INFO | Train Epoch: 9 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.27264 (0.22143) Boundary_loss: 0.012873 (0.012877) Loss: 0.28551 (0.23431) +2025-08-24,06:17:24 | INFO | Train Epoch: 9 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.19438 (0.22117) Boundary_loss: 0.012836 (0.012876) Loss: 0.20722 (0.23405) +2025-08-24,06:18:29 | INFO | Train Epoch: 9 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.20363 (0.22101) Boundary_loss: 0.012940 (0.012877) Loss: 0.21657 (0.23388) +2025-08-24,06:19:34 | INFO | Train Epoch: 9 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.21676 (0.22097) Boundary_loss: 0.012947 (0.012878) Loss: 0.22971 (0.23384) +2025-08-24,06:20:39 | INFO | Train Epoch: 9 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.22288 (0.22098) Boundary_loss: 0.012974 (0.012878) Loss: 0.23585 (0.23386) +2025-08-24,06:21:44 | INFO | Train Epoch: 9 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.22864 (0.22105) Boundary_loss: 0.012939 (0.012879) Loss: 0.24158 (0.23393) +2025-08-24,06:22:49 | INFO | Train Epoch: 9 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.18532 (0.22073) Boundary_loss: 0.012947 (0.012880) Loss: 0.19827 (0.23361) +2025-08-24,06:23:54 | INFO | Train Epoch: 9 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.20006 (0.22054) Boundary_loss: 0.012845 (0.012879) Loss: 0.21290 (0.23342) +2025-08-24,06:24:59 | INFO | Train Epoch: 9 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.22922 (0.22062) Boundary_loss: 0.012820 (0.012879) Loss: 0.24204 (0.23350) +2025-08-24,06:26:04 | INFO | Train Epoch: 9 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.24632 (0.22085) Boundary_loss: 0.012859 (0.012879) Loss: 0.25917 (0.23373) +2025-08-24,06:27:09 | INFO | Train Epoch: 9 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.18483 (0.22053) Boundary_loss: 0.012835 (0.012878) Loss: 0.19766 (0.23341) +2025-08-24,06:28:14 | INFO | Train Epoch: 9 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.22812 (0.22060) Boundary_loss: 0.012949 (0.012879) Loss: 0.24107 (0.23348) +2025-08-24,06:29:19 | INFO | Train Epoch: 9 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.23302 (0.22070) Boundary_loss: 0.012915 (0.012879) Loss: 0.24594 (0.23358) +2025-08-24,06:30:24 | INFO | Train Epoch: 9 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.28715 (0.22127) Boundary_loss: 0.012862 (0.012879) Loss: 0.30002 (0.23415) +2025-08-24,06:31:29 | INFO | Train Epoch: 9 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.21904 (0.22125) Boundary_loss: 0.012881 (0.012879) Loss: 0.23192 (0.23413) +2025-08-24,06:32:34 | INFO | Train Epoch: 9 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.23350 (0.22136) Boundary_loss: 0.012952 (0.012880) Loss: 0.24646 (0.23424) +2025-08-24,06:33:39 | INFO | Train Epoch: 9 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.19134 (0.22111) Boundary_loss: 0.012772 (0.012879) Loss: 0.20411 (0.23399) +2025-08-24,06:34:44 | INFO | Train Epoch: 9 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.23214 (0.22120) Boundary_loss: 0.012862 (0.012879) Loss: 0.24500 (0.23408) +2025-08-24,06:35:49 | INFO | Train Epoch: 9 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.23728 (0.22133) Boundary_loss: 0.012888 (0.012879) Loss: 0.25017 (0.23421) +2025-08-24,06:36:54 | INFO | Train Epoch: 9 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.21528 (0.22128) Boundary_loss: 0.012846 (0.012878) Loss: 0.22812 (0.23416) +2025-08-24,06:37:59 | INFO | Train Epoch: 9 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.20399 (0.22114) Boundary_loss: 0.012849 (0.012878) Loss: 0.21684 (0.23402) +2025-08-24,06:39:04 | INFO | Train Epoch: 9 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.22085 (0.22114) Boundary_loss: 0.012866 (0.012878) Loss: 0.23371 (0.23402) +2025-08-24,06:40:09 | INFO | Train Epoch: 9 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.19521 (0.22093) Boundary_loss: 0.012763 (0.012877) Loss: 0.20798 (0.23381) +2025-08-24,06:41:14 | INFO | Train Epoch: 9 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.20162 (0.22078) Boundary_loss: 0.012942 (0.012878) Loss: 0.21456 (0.23366) +2025-08-24,06:42:19 | INFO | Train Epoch: 9 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.24854 (0.22100) Boundary_loss: 0.013006 (0.012879) Loss: 0.26155 (0.23388) +2025-08-24,06:43:25 | INFO | Train Epoch: 9 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.672 Boundary Ratio: 0.100 Contrastive_loss: 0.19304 (0.22078) Boundary_loss: 0.012895 (0.012879) Loss: 0.20593 (0.23366) +2025-08-24,06:44:30 | INFO | Train Epoch: 9 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.20530 (0.22066) Boundary_loss: 0.012858 (0.012879) Loss: 0.21816 (0.23354) +2025-08-24,06:45:35 | INFO | Train Epoch: 9 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.23561 (0.22078) Boundary_loss: 0.012887 (0.012879) Loss: 0.24850 (0.23365) +2025-08-24,06:46:40 | INFO | Train Epoch: 9 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.20746 (0.22067) Boundary_loss: 0.012985 (0.012880) Loss: 0.22044 (0.23355) +2025-08-24,06:47:45 | INFO | Train Epoch: 9 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.20512 (0.22056) Boundary_loss: 0.012851 (0.012879) Loss: 0.21797 (0.23344) +2025-08-24,06:48:50 | INFO | Train Epoch: 9 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.21971 (0.22055) Boundary_loss: 0.012872 (0.012879) Loss: 0.23258 (0.23343) +2025-08-24,06:49:55 | INFO | Train Epoch: 9 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.20856 (0.22046) Boundary_loss: 0.012919 (0.012880) Loss: 0.22148 (0.23334) +2025-08-24,06:51:00 | INFO | Train Epoch: 9 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.22165 (0.22047) Boundary_loss: 0.012864 (0.012879) Loss: 0.23451 (0.23335) +2025-08-24,06:52:05 | INFO | Train Epoch: 9 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.23024 (0.22054) Boundary_loss: 0.012853 (0.012879) Loss: 0.24309 (0.23342) +2025-08-24,06:53:10 | INFO | Train Epoch: 9 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.22892 (0.22060) Boundary_loss: 0.012857 (0.012879) Loss: 0.24178 (0.23348) +2025-08-24,06:54:15 | INFO | Train Epoch: 9 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.18042 (0.22031) Boundary_loss: 0.012854 (0.012879) Loss: 0.19327 (0.23319) +2025-08-24,06:55:20 | INFO | Train Epoch: 9 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.627 Boundary Ratio: 0.100 Contrastive_loss: 0.18377 (0.22005) Boundary_loss: 0.012967 (0.012880) Loss: 0.19673 (0.23293) +2025-08-24,06:56:25 | INFO | Train Epoch: 9 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.25263 (0.22028) Boundary_loss: 0.012955 (0.012880) Loss: 0.26559 (0.23316) +2025-08-24,06:57:30 | INFO | Train Epoch: 9 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.22087 (0.22029) Boundary_loss: 0.012773 (0.012879) Loss: 0.23364 (0.23317) +2025-08-24,06:58:35 | INFO | Train Epoch: 9 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.28792 (0.22076) Boundary_loss: 0.012902 (0.012879) Loss: 0.30082 (0.23364) +2025-08-24,06:59:40 | INFO | Train Epoch: 9 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.17739 (0.22046) Boundary_loss: 0.012860 (0.012879) Loss: 0.19025 (0.23334) +2025-08-24,07:00:45 | INFO | Train Epoch: 9 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.30939 (0.22107) Boundary_loss: 0.012939 (0.012880) Loss: 0.32233 (0.23395) +2025-08-24,07:01:50 | INFO | Train Epoch: 9 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.17888 (0.22078) Boundary_loss: 0.012912 (0.012880) Loss: 0.19179 (0.23366) +2025-08-24,07:02:55 | INFO | Train Epoch: 9 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.23154 (0.22086) Boundary_loss: 0.012897 (0.012880) Loss: 0.24444 (0.23374) +2025-08-24,07:04:00 | INFO | Train Epoch: 9 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.22472 (0.22088) Boundary_loss: 0.012935 (0.012880) Loss: 0.23765 (0.23376) +2025-08-24,07:05:05 | INFO | Train Epoch: 9 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.21929 (0.22087) Boundary_loss: 0.012748 (0.012880) Loss: 0.23204 (0.23375) +2025-08-24,07:06:10 | INFO | Train Epoch: 9 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.26738 (0.22118) Boundary_loss: 0.012866 (0.012879) Loss: 0.28024 (0.23406) +2025-08-24,07:07:15 | INFO | Train Epoch: 9 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.23103 (0.22125) Boundary_loss: 0.012884 (0.012880) Loss: 0.24392 (0.23413) +2025-08-24,07:08:20 | INFO | Train Epoch: 9 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.17215 (0.22093) Boundary_loss: 0.012857 (0.012879) Loss: 0.18500 (0.23380) +2025-08-24,07:09:25 | INFO | Train Epoch: 9 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.21025 (0.22086) Boundary_loss: 0.012962 (0.012880) Loss: 0.22321 (0.23374) +2025-08-24,07:10:31 | INFO | Train Epoch: 9 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.20864 (0.22078) Boundary_loss: 0.012832 (0.012880) Loss: 0.22147 (0.23366) +2025-08-24,07:11:36 | INFO | Train Epoch: 9 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.18634 (0.22055) Boundary_loss: 0.012957 (0.012880) Loss: 0.19930 (0.23343) +2025-08-24,07:12:41 | INFO | Train Epoch: 9 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.15629 (0.22014) Boundary_loss: 0.012788 (0.012880) Loss: 0.16908 (0.23302) +2025-08-24,07:13:46 | INFO | Train Epoch: 9 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.18317 (0.21991) Boundary_loss: 0.012873 (0.012879) Loss: 0.19604 (0.23279) +2025-08-24,07:14:51 | INFO | Train Epoch: 9 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 0.22021 (0.21991) Boundary_loss: 0.012912 (0.012880) Loss: 0.23313 (0.23279) +2025-08-24,07:15:56 | INFO | Train Epoch: 9 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.29713 (0.22039) Boundary_loss: 0.012974 (0.012880) Loss: 0.31010 (0.23327) +2025-08-24,07:17:01 | INFO | Train Epoch: 9 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.19004 (0.22020) Boundary_loss: 0.012914 (0.012880) Loss: 0.20295 (0.23308) +2025-08-24,07:18:06 | INFO | Train Epoch: 9 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.22301 (0.22022) Boundary_loss: 0.012845 (0.012880) Loss: 0.23585 (0.23310) +2025-08-24,07:19:11 | INFO | Train Epoch: 9 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.22271 (0.22024) Boundary_loss: 0.012932 (0.012881) Loss: 0.23564 (0.23312) +2025-08-24,07:20:16 | INFO | Train Epoch: 9 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.18376 (0.22001) Boundary_loss: 0.012822 (0.012880) Loss: 0.19659 (0.23289) +2025-08-24,07:21:21 | INFO | Train Epoch: 9 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.25778 (0.22024) Boundary_loss: 0.012963 (0.012881) Loss: 0.27075 (0.23312) +2025-08-24,07:22:26 | INFO | Train Epoch: 9 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.20168 (0.22013) Boundary_loss: 0.012891 (0.012881) Loss: 0.21457 (0.23301) +2025-08-24,07:23:31 | INFO | Train Epoch: 9 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.21816 (0.22012) Boundary_loss: 0.012905 (0.012881) Loss: 0.23107 (0.23300) +2025-08-24,07:24:36 | INFO | Train Epoch: 9 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.22447 (0.22015) Boundary_loss: 0.012894 (0.012881) Loss: 0.23736 (0.23303) +2025-08-24,07:25:41 | INFO | Train Epoch: 9 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.16819 (0.21984) Boundary_loss: 0.012897 (0.012881) Loss: 0.18109 (0.23272) +2025-08-24,07:26:46 | INFO | Train Epoch: 9 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.19153 (0.21967) Boundary_loss: 0.012812 (0.012881) Loss: 0.20434 (0.23255) +2025-08-24,07:27:52 | INFO | Train Epoch: 9 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.26555 (0.21994) Boundary_loss: 0.012862 (0.012881) Loss: 0.27842 (0.23282) +2025-08-24,07:28:57 | INFO | Train Epoch: 9 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.20770 (0.21987) Boundary_loss: 0.012874 (0.012881) Loss: 0.22057 (0.23275) +2025-08-24,07:30:02 | INFO | Train Epoch: 9 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.17199 (0.21959) Boundary_loss: 0.012902 (0.012881) Loss: 0.18490 (0.23247) +2025-08-24,07:31:07 | INFO | Train Epoch: 9 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.23392 (0.21967) Boundary_loss: 0.012785 (0.012880) Loss: 0.24671 (0.23255) +2025-08-24,07:32:12 | INFO | Train Epoch: 9 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.18881 (0.21949) Boundary_loss: 0.012872 (0.012880) Loss: 0.20168 (0.23237) +2025-08-24,07:33:17 | INFO | Train Epoch: 9 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.17045 (0.21921) Boundary_loss: 0.012925 (0.012880) Loss: 0.18338 (0.23209) +2025-08-24,07:34:22 | INFO | Train Epoch: 9 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.27877 (0.21955) Boundary_loss: 0.012860 (0.012880) Loss: 0.29163 (0.23243) +2025-08-24,07:35:27 | INFO | Train Epoch: 9 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.20386 (0.21946) Boundary_loss: 0.012855 (0.012880) Loss: 0.21671 (0.23234) +2025-08-24,07:36:32 | INFO | Train Epoch: 9 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.17852 (0.21923) Boundary_loss: 0.012904 (0.012880) Loss: 0.19142 (0.23211) +2025-08-24,07:37:37 | INFO | Train Epoch: 9 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.20445 (0.21915) Boundary_loss: 0.012828 (0.012880) Loss: 0.21727 (0.23203) +2025-08-24,07:38:42 | INFO | Train Epoch: 9 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.21751 (0.21914) Boundary_loss: 0.012925 (0.012880) Loss: 0.23044 (0.23202) +2025-08-24,07:39:47 | INFO | Train Epoch: 9 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.16534 (0.21884) Boundary_loss: 0.012913 (0.012880) Loss: 0.17825 (0.23173) +2025-08-24,07:40:52 | INFO | Train Epoch: 9 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.22431 (0.21887) Boundary_loss: 0.012825 (0.012880) Loss: 0.23714 (0.23175) +2025-08-24,07:41:57 | INFO | Train Epoch: 9 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.19799 (0.21876) Boundary_loss: 0.012821 (0.012880) Loss: 0.21081 (0.23164) +2025-08-24,07:43:03 | INFO | Train Epoch: 9 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.26979 (0.21904) Boundary_loss: 0.012872 (0.012880) Loss: 0.28266 (0.23192) +2025-08-24,07:44:08 | INFO | Train Epoch: 9 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.18616 (0.21886) Boundary_loss: 0.012913 (0.012880) Loss: 0.19907 (0.23174) +2025-08-24,07:45:13 | INFO | Train Epoch: 9 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.24870 (0.21902) Boundary_loss: 0.012947 (0.012880) Loss: 0.26164 (0.23190) +2025-08-24,07:46:18 | INFO | Train Epoch: 9 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 18.932 Boundary Ratio: 0.097 Contrastive_loss: 0.17070 (0.21876) Boundary_loss: 0.012917 (0.012880) Loss: 0.18361 (0.23164) +2025-08-24,07:47:23 | INFO | Train Epoch: 9 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.20428 (0.21869) Boundary_loss: 0.012962 (0.012881) Loss: 0.21724 (0.23157) +2025-08-24,07:48:28 | INFO | Train Epoch: 9 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.22392 (0.21871) Boundary_loss: 0.012887 (0.012881) Loss: 0.23680 (0.23159) +2025-08-24,07:49:33 | INFO | Train Epoch: 9 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.17465 (0.21848) Boundary_loss: 0.012959 (0.012881) Loss: 0.18761 (0.23136) +2025-08-24,07:50:38 | INFO | Train Epoch: 9 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.17459 (0.21825) Boundary_loss: 0.012964 (0.012882) Loss: 0.18756 (0.23113) +2025-08-24,07:51:43 | INFO | Train Epoch: 9 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.24057 (0.21837) Boundary_loss: 0.012816 (0.012881) Loss: 0.25339 (0.23125) +2025-08-24,07:52:48 | INFO | Train Epoch: 9 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.16495 (0.21809) Boundary_loss: 0.012881 (0.012881) Loss: 0.17783 (0.23097) +2025-08-24,07:53:53 | INFO | Train Epoch: 9 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.24461 (0.21823) Boundary_loss: 0.012876 (0.012881) Loss: 0.25749 (0.23111) +2025-08-24,07:54:58 | INFO | Train Epoch: 9 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.22454 (0.21826) Boundary_loss: 0.012893 (0.012881) Loss: 0.23743 (0.23114) +2025-08-24,07:56:03 | INFO | Train Epoch: 9 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.19717 (0.21815) Boundary_loss: 0.013044 (0.012882) Loss: 0.21021 (0.23103) +2025-08-24,07:57:08 | INFO | Train Epoch: 9 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.17219 (0.21792) Boundary_loss: 0.012882 (0.012882) Loss: 0.18507 (0.23080) +2025-08-24,07:58:13 | INFO | Train Epoch: 9 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.24522 (0.21806) Boundary_loss: 0.012933 (0.012883) Loss: 0.25815 (0.23094) +2025-08-24,07:59:18 | INFO | Train Epoch: 9 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.17108 (0.21782) Boundary_loss: 0.012871 (0.012882) Loss: 0.18395 (0.23070) +2025-08-24,08:00:23 | INFO | Train Epoch: 9 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.22431 (0.21785) Boundary_loss: 0.012918 (0.012883) Loss: 0.23723 (0.23074) +2025-08-24,08:01:29 | INFO | Train Epoch: 9 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.27651 (0.21814) Boundary_loss: 0.012893 (0.012883) Loss: 0.28940 (0.23103) +2025-08-24,08:02:34 | INFO | Train Epoch: 9 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.023 Boundary Ratio: 0.097 Contrastive_loss: 0.19648 (0.21804) Boundary_loss: 0.012943 (0.012883) Loss: 0.20942 (0.23092) +2025-08-24,08:03:39 | INFO | Train Epoch: 9 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.20940 (0.21800) Boundary_loss: 0.012864 (0.012883) Loss: 0.22226 (0.23088) +2025-08-24,08:04:44 | INFO | Train Epoch: 9 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.16897 (0.21775) Boundary_loss: 0.012858 (0.012883) Loss: 0.18183 (0.23064) +2025-08-24,08:05:49 | INFO | Train Epoch: 9 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.22446 (0.21779) Boundary_loss: 0.012969 (0.012883) Loss: 0.23743 (0.23067) +2025-08-24,08:06:54 | INFO | Train Epoch: 9 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.22673 (0.21783) Boundary_loss: 0.012817 (0.012883) Loss: 0.23954 (0.23071) +2025-08-24,08:07:59 | INFO | Train Epoch: 9 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.31443 (0.21830) Boundary_loss: 0.012807 (0.012882) Loss: 0.32724 (0.23118) +2025-08-24,08:09:04 | INFO | Train Epoch: 9 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.23809 (0.21839) Boundary_loss: 0.012908 (0.012883) Loss: 0.25100 (0.23128) +2025-08-24,08:10:09 | INFO | Train Epoch: 9 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.23275 (0.21846) Boundary_loss: 0.012751 (0.012882) Loss: 0.24550 (0.23134) +2025-08-24,08:11:14 | INFO | Train Epoch: 9 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.18394 (0.21830) Boundary_loss: 0.012845 (0.012882) Loss: 0.19678 (0.23118) +2025-08-24,08:12:19 | INFO | Train Epoch: 9 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.24896 (0.21844) Boundary_loss: 0.012877 (0.012882) Loss: 0.26183 (0.23132) +2025-08-24,08:13:24 | INFO | Train Epoch: 9 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.19572 (0.21833) Boundary_loss: 0.012890 (0.012882) Loss: 0.20861 (0.23122) +2025-08-24,08:14:29 | INFO | Train Epoch: 9 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 0.18510 (0.21818) Boundary_loss: 0.012790 (0.012881) Loss: 0.19789 (0.23106) +2025-08-24,08:15:34 | INFO | Train Epoch: 9 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.24715 (0.21831) Boundary_loss: 0.012795 (0.012881) Loss: 0.25994 (0.23120) +2025-08-24,08:16:39 | INFO | Train Epoch: 9 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.20950 (0.21827) Boundary_loss: 0.012808 (0.012881) Loss: 0.22231 (0.23115) +2025-08-24,08:17:44 | INFO | Train Epoch: 9 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.23881 (0.21837) Boundary_loss: 0.012939 (0.012881) Loss: 0.25175 (0.23125) +2025-08-24,08:18:49 | INFO | Train Epoch: 9 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.19108 (0.21824) Boundary_loss: 0.012885 (0.012881) Loss: 0.20396 (0.23112) +2025-08-24,08:19:55 | INFO | Train Epoch: 9 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.16819 (0.21801) Boundary_loss: 0.012885 (0.012881) Loss: 0.18108 (0.23089) +2025-08-24,08:21:00 | INFO | Train Epoch: 9 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.16861 (0.21779) Boundary_loss: 0.012873 (0.012881) Loss: 0.18148 (0.23067) +2025-08-24,08:22:05 | INFO | Train Epoch: 9 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.23601 (0.21787) Boundary_loss: 0.012917 (0.012881) Loss: 0.24893 (0.23075) +2025-08-24,08:23:10 | INFO | Train Epoch: 9 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.23113 (0.21793) Boundary_loss: 0.012825 (0.012881) Loss: 0.24395 (0.23081) +2025-08-24,08:24:15 | INFO | Train Epoch: 9 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.24728 (0.21806) Boundary_loss: 0.012935 (0.012881) Loss: 0.26021 (0.23094) +2025-08-24,08:25:20 | INFO | Train Epoch: 9 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.20372 (0.21800) Boundary_loss: 0.012939 (0.012881) Loss: 0.21666 (0.23088) +2025-08-24,08:26:25 | INFO | Train Epoch: 9 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.23438 (0.21807) Boundary_loss: 0.012829 (0.012881) Loss: 0.24721 (0.23095) +2025-08-24,08:27:30 | INFO | Train Epoch: 9 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.22210 (0.21809) Boundary_loss: 0.012844 (0.012881) Loss: 0.23495 (0.23097) +2025-08-24,08:28:35 | INFO | Train Epoch: 9 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.629 Boundary Ratio: 0.100 Contrastive_loss: 0.22247 (0.21811) Boundary_loss: 0.012907 (0.012881) Loss: 0.23538 (0.23099) +2025-08-24,08:29:40 | INFO | Train Epoch: 9 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.21775 (0.21811) Boundary_loss: 0.012919 (0.012881) Loss: 0.23067 (0.23099) +2025-08-24,08:30:45 | INFO | Train Epoch: 9 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.18965 (0.21798) Boundary_loss: 0.012852 (0.012881) Loss: 0.20251 (0.23086) +2025-08-24,08:31:50 | INFO | Train Epoch: 9 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.20383 (0.21792) Boundary_loss: 0.012919 (0.012881) Loss: 0.21675 (0.23080) +2025-08-24,08:32:55 | INFO | Train Epoch: 9 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.27005 (0.21815) Boundary_loss: 0.012845 (0.012881) Loss: 0.28289 (0.23103) +2025-08-24,08:34:00 | INFO | Train Epoch: 9 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.24217 (0.21825) Boundary_loss: 0.012925 (0.012881) Loss: 0.25510 (0.23113) +2025-08-24,08:35:05 | INFO | Train Epoch: 9 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.25850 (0.21842) Boundary_loss: 0.012798 (0.012881) Loss: 0.27130 (0.23131) +2025-08-24,08:36:10 | INFO | Train Epoch: 9 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.17914 (0.21826) Boundary_loss: 0.012847 (0.012881) Loss: 0.19198 (0.23114) +2025-08-24,08:37:15 | INFO | Train Epoch: 9 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.23427 (0.21832) Boundary_loss: 0.012812 (0.012880) Loss: 0.24708 (0.23121) +2025-08-24,08:38:20 | INFO | Train Epoch: 9 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.22421 (0.21835) Boundary_loss: 0.012896 (0.012881) Loss: 0.23711 (0.23123) +2025-08-24,08:39:25 | INFO | Train Epoch: 9 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.19956 (0.21827) Boundary_loss: 0.012897 (0.012881) Loss: 0.21245 (0.23115) +2025-08-24,08:40:30 | INFO | Train Epoch: 9 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.19911 (0.21819) Boundary_loss: 0.012924 (0.012881) Loss: 0.21203 (0.23107) +2025-08-24,08:41:36 | INFO | Train Epoch: 9 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.18664 (0.21806) Boundary_loss: 0.012808 (0.012881) Loss: 0.19945 (0.23094) +2025-08-24,08:42:41 | INFO | Train Epoch: 9 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.17230 (0.21787) Boundary_loss: 0.012945 (0.012881) Loss: 0.18524 (0.23075) +2025-08-24,08:43:46 | INFO | Train Epoch: 9 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.25961 (0.21804) Boundary_loss: 0.012910 (0.012881) Loss: 0.27252 (0.23092) +2025-08-24,08:44:51 | INFO | Train Epoch: 9 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.20515 (0.21799) Boundary_loss: 0.012869 (0.012881) Loss: 0.21802 (0.23087) +2025-08-24,08:45:56 | INFO | Train Epoch: 9 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.25385 (0.21813) Boundary_loss: 0.012822 (0.012881) Loss: 0.26667 (0.23101) +2025-08-24,08:47:01 | INFO | Train Epoch: 9 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.25229 (0.21827) Boundary_loss: 0.012819 (0.012880) Loss: 0.26511 (0.23115) +2025-08-24,08:48:06 | INFO | Train Epoch: 9 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.30296 (0.21862) Boundary_loss: 0.012861 (0.012880) Loss: 0.31582 (0.23150) +2025-08-24,08:49:11 | INFO | Train Epoch: 9 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.19060 (0.21851) Boundary_loss: 0.012818 (0.012880) Loss: 0.20341 (0.23139) +2025-08-24,08:50:16 | INFO | Train Epoch: 9 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.23773 (0.21859) Boundary_loss: 0.012902 (0.012880) Loss: 0.25063 (0.23147) +2025-08-24,08:51:21 | INFO | Train Epoch: 9 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.30205 (0.21892) Boundary_loss: 0.012881 (0.012880) Loss: 0.31493 (0.23180) +2025-08-24,08:52:26 | INFO | Train Epoch: 9 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.21065 (0.21889) Boundary_loss: 0.012853 (0.012880) Loss: 0.22351 (0.23177) +2025-08-24,08:53:31 | INFO | Train Epoch: 9 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.20114 (0.21882) Boundary_loss: 0.012868 (0.012880) Loss: 0.21401 (0.23170) +2025-08-24,08:54:36 | INFO | Train Epoch: 9 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.21360 (0.21880) Boundary_loss: 0.012891 (0.012880) Loss: 0.22649 (0.23168) +2025-08-24,08:55:41 | INFO | Train Epoch: 9 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.17670 (0.21863) Boundary_loss: 0.012833 (0.012880) Loss: 0.18953 (0.23151) +2025-08-24,08:56:46 | INFO | Train Epoch: 9 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.21446 (0.21861) Boundary_loss: 0.012772 (0.012879) Loss: 0.22723 (0.23149) +2025-08-24,08:57:51 | INFO | Train Epoch: 9 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.18270 (0.21847) Boundary_loss: 0.012840 (0.012879) Loss: 0.19554 (0.23135) +2025-08-24,08:58:56 | INFO | Train Epoch: 9 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.19331 (0.21837) Boundary_loss: 0.012788 (0.012879) Loss: 0.20610 (0.23125) +2025-08-24,09:00:01 | INFO | Train Epoch: 9 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.21782 (0.21837) Boundary_loss: 0.012926 (0.012879) Loss: 0.23074 (0.23125) +2025-08-24,09:01:06 | INFO | Train Epoch: 9 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.22484 (0.21840) Boundary_loss: 0.012895 (0.012879) Loss: 0.23773 (0.23127) +2025-08-24,09:02:12 | INFO | Train Epoch: 9 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.18552 (0.21827) Boundary_loss: 0.012879 (0.012879) Loss: 0.19840 (0.23115) +2025-08-24,09:03:17 | INFO | Train Epoch: 9 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.18660 (0.21814) Boundary_loss: 0.012784 (0.012879) Loss: 0.19938 (0.23102) +2025-08-24,09:04:22 | INFO | Train Epoch: 9 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.27650 (0.21837) Boundary_loss: 0.012804 (0.012878) Loss: 0.28931 (0.23125) +2025-08-24,09:05:27 | INFO | Train Epoch: 9 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.23634 (0.21844) Boundary_loss: 0.012815 (0.012878) Loss: 0.24916 (0.23132) +2025-08-24,09:06:32 | INFO | Train Epoch: 9 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.596 Boundary Ratio: 0.100 Contrastive_loss: 0.26785 (0.21863) Boundary_loss: 0.012904 (0.012878) Loss: 0.28076 (0.23151) +2025-08-24,09:07:37 | INFO | Train Epoch: 9 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.21959 (0.21863) Boundary_loss: 0.012908 (0.012878) Loss: 0.23250 (0.23151) +2025-08-24,09:08:42 | INFO | Train Epoch: 9 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.17135 (0.21845) Boundary_loss: 0.012836 (0.012878) Loss: 0.18419 (0.23133) +2025-08-24,09:09:47 | INFO | Train Epoch: 9 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.21116 (0.21842) Boundary_loss: 0.012853 (0.012878) Loss: 0.22401 (0.23130) +2025-08-24,09:10:52 | INFO | Train Epoch: 9 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.18887 (0.21831) Boundary_loss: 0.012890 (0.012878) Loss: 0.20176 (0.23119) +2025-08-24,09:11:57 | INFO | Train Epoch: 9 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.20767 (0.21827) Boundary_loss: 0.012873 (0.012878) Loss: 0.22054 (0.23115) +2025-08-24,09:13:03 | INFO | Train Epoch: 9 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.23232 (0.21833) Boundary_loss: 0.012830 (0.012878) Loss: 0.24515 (0.23120) +2025-08-24,09:14:08 | INFO | Train Epoch: 9 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.23482 (0.21839) Boundary_loss: 0.012842 (0.012878) Loss: 0.24766 (0.23127) +2025-08-24,09:15:13 | INFO | Train Epoch: 9 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.19741 (0.21831) Boundary_loss: 0.012794 (0.012878) Loss: 0.21020 (0.23119) +2025-08-24,09:16:18 | INFO | Train Epoch: 9 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.18156 (0.21817) Boundary_loss: 0.012905 (0.012878) Loss: 0.19447 (0.23105) +2025-08-24,09:17:23 | INFO | Train Epoch: 9 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.20753 (0.21813) Boundary_loss: 0.012897 (0.012878) Loss: 0.22043 (0.23101) +2025-08-24,09:18:28 | INFO | Train Epoch: 9 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.18931 (0.21803) Boundary_loss: 0.012872 (0.012878) Loss: 0.20219 (0.23091) +2025-08-24,09:19:33 | INFO | Train Epoch: 9 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.21102 (0.21800) Boundary_loss: 0.012867 (0.012878) Loss: 0.22389 (0.23088) +2025-08-24,09:20:38 | INFO | Train Epoch: 9 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.24958 (0.21812) Boundary_loss: 0.012982 (0.012878) Loss: 0.26256 (0.23100) +2025-08-24,09:21:43 | INFO | Train Epoch: 9 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.23955 (0.21820) Boundary_loss: 0.012840 (0.012878) Loss: 0.25240 (0.23107) +2025-08-24,09:22:48 | INFO | Train Epoch: 9 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.25029 (0.21831) Boundary_loss: 0.012875 (0.012878) Loss: 0.26316 (0.23119) +2025-08-24,09:23:53 | INFO | Train Epoch: 9 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.19545 (0.21823) Boundary_loss: 0.012878 (0.012878) Loss: 0.20832 (0.23111) +2025-08-24,09:24:58 | INFO | Train Epoch: 9 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.25657 (0.21837) Boundary_loss: 0.012832 (0.012878) Loss: 0.26940 (0.23124) +2025-08-24,09:26:04 | INFO | Train Epoch: 9 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.21869 (0.21837) Boundary_loss: 0.012873 (0.012878) Loss: 0.23156 (0.23125) +2025-08-24,09:27:09 | INFO | Train Epoch: 9 [14285312/26365952 (54%)] Avg Boundaries (per batch): 18.873 Boundary Ratio: 0.096 Contrastive_loss: 0.27586 (0.21857) Boundary_loss: 0.012856 (0.012878) Loss: 0.28872 (0.23145) +2025-08-24,09:28:14 | INFO | Train Epoch: 9 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.17997 (0.21844) Boundary_loss: 0.012904 (0.012878) Loss: 0.19288 (0.23131) +2025-08-24,09:29:19 | INFO | Train Epoch: 9 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.656 Boundary Ratio: 0.100 Contrastive_loss: 0.21061 (0.21841) Boundary_loss: 0.012990 (0.012878) Loss: 0.22360 (0.23129) +2025-08-24,09:30:24 | INFO | Train Epoch: 9 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.20087 (0.21835) Boundary_loss: 0.012873 (0.012878) Loss: 0.21375 (0.23122) +2025-08-24,09:31:29 | INFO | Train Epoch: 9 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.27338 (0.21854) Boundary_loss: 0.012899 (0.012878) Loss: 0.28628 (0.23142) +2025-08-24,09:32:34 | INFO | Train Epoch: 9 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.24970 (0.21865) Boundary_loss: 0.012900 (0.012878) Loss: 0.26260 (0.23153) +2025-08-24,09:33:39 | INFO | Train Epoch: 9 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.19250 (0.21856) Boundary_loss: 0.012849 (0.012878) Loss: 0.20535 (0.23144) +2025-08-24,09:34:44 | INFO | Train Epoch: 9 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.19202 (0.21847) Boundary_loss: 0.012875 (0.012878) Loss: 0.20489 (0.23134) +2025-08-24,09:35:49 | INFO | Train Epoch: 9 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.20681 (0.21843) Boundary_loss: 0.012831 (0.012878) Loss: 0.21965 (0.23130) +2025-08-24,09:36:55 | INFO | Train Epoch: 9 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.21361 (0.21841) Boundary_loss: 0.012923 (0.012878) Loss: 0.22653 (0.23129) +2025-08-24,09:38:00 | INFO | Train Epoch: 9 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.23430 (0.21846) Boundary_loss: 0.012839 (0.012878) Loss: 0.24714 (0.23134) +2025-08-24,09:39:05 | INFO | Train Epoch: 9 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.20855 (0.21843) Boundary_loss: 0.012847 (0.012878) Loss: 0.22140 (0.23131) +2025-08-24,09:40:10 | INFO | Train Epoch: 9 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.21052 (0.21840) Boundary_loss: 0.012862 (0.012878) Loss: 0.22338 (0.23128) +2025-08-24,09:41:15 | INFO | Train Epoch: 9 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.22094 (0.21841) Boundary_loss: 0.012786 (0.012878) Loss: 0.23373 (0.23129) +2025-08-24,09:42:20 | INFO | Train Epoch: 9 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.22953 (0.21845) Boundary_loss: 0.012824 (0.012877) Loss: 0.24236 (0.23133) +2025-08-24,09:43:25 | INFO | Train Epoch: 9 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.19778 (0.21838) Boundary_loss: 0.012813 (0.012877) Loss: 0.21060 (0.23126) +2025-08-24,09:44:30 | INFO | Train Epoch: 9 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.22962 (0.21842) Boundary_loss: 0.012762 (0.012877) Loss: 0.24239 (0.23129) +2025-08-24,09:45:35 | INFO | Train Epoch: 9 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.19047 (0.21832) Boundary_loss: 0.012943 (0.012877) Loss: 0.20341 (0.23120) +2025-08-24,09:46:40 | INFO | Train Epoch: 9 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.18240 (0.21820) Boundary_loss: 0.012829 (0.012877) Loss: 0.19523 (0.23108) +2025-08-24,09:47:45 | INFO | Train Epoch: 9 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.35249 (0.21865) Boundary_loss: 0.012883 (0.012877) Loss: 0.36537 (0.23153) +2025-08-24,09:48:50 | INFO | Train Epoch: 9 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.24237 (0.21873) Boundary_loss: 0.012899 (0.012877) Loss: 0.25527 (0.23161) +2025-08-24,09:49:55 | INFO | Train Epoch: 9 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.26640 (0.21889) Boundary_loss: 0.012858 (0.012877) Loss: 0.27926 (0.23177) +2025-08-24,09:51:01 | INFO | Train Epoch: 9 [15411712/26365952 (58%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.24764 (0.21898) Boundary_loss: 0.012892 (0.012877) Loss: 0.26053 (0.23186) +2025-08-24,09:52:06 | INFO | Train Epoch: 9 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.20586 (0.21894) Boundary_loss: 0.012852 (0.012877) Loss: 0.21871 (0.23182) +2025-08-24,09:53:11 | INFO | Train Epoch: 9 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.14733 (0.21870) Boundary_loss: 0.012883 (0.012877) Loss: 0.16021 (0.23158) +2025-08-24,09:54:16 | INFO | Train Epoch: 9 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.23301 (0.21875) Boundary_loss: 0.012850 (0.012877) Loss: 0.24586 (0.23163) +2025-08-24,09:55:21 | INFO | Train Epoch: 9 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.22189 (0.21876) Boundary_loss: 0.012853 (0.012877) Loss: 0.23474 (0.23164) +2025-08-24,09:56:26 | INFO | Train Epoch: 9 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.26459 (0.21891) Boundary_loss: 0.012763 (0.012876) Loss: 0.27736 (0.23179) +2025-08-24,09:57:31 | INFO | Train Epoch: 9 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.18565 (0.21880) Boundary_loss: 0.012870 (0.012876) Loss: 0.19852 (0.23168) +2025-08-24,09:58:36 | INFO | Train Epoch: 9 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.24477 (0.21889) Boundary_loss: 0.012806 (0.012876) Loss: 0.25757 (0.23176) +2025-08-24,09:59:41 | INFO | Train Epoch: 9 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.26266 (0.21903) Boundary_loss: 0.012869 (0.012876) Loss: 0.27553 (0.23190) +2025-08-24,10:00:46 | INFO | Train Epoch: 9 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.26941 (0.21919) Boundary_loss: 0.012907 (0.012876) Loss: 0.28231 (0.23207) +2025-08-24,10:01:51 | INFO | Train Epoch: 9 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.29006 (0.21942) Boundary_loss: 0.012950 (0.012876) Loss: 0.30301 (0.23229) +2025-08-24,10:02:57 | INFO | Train Epoch: 9 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.22858 (0.21945) Boundary_loss: 0.012841 (0.012876) Loss: 0.24142 (0.23232) +2025-08-24,10:04:02 | INFO | Train Epoch: 9 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.20474 (0.21940) Boundary_loss: 0.012879 (0.012876) Loss: 0.21761 (0.23228) +2025-08-24,10:05:07 | INFO | Train Epoch: 9 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.21319 (0.21938) Boundary_loss: 0.012947 (0.012876) Loss: 0.22613 (0.23226) +2025-08-24,10:06:12 | INFO | Train Epoch: 9 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.23926 (0.21944) Boundary_loss: 0.012863 (0.012876) Loss: 0.25212 (0.23232) +2025-08-24,10:07:17 | INFO | Train Epoch: 9 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.15585 (0.21924) Boundary_loss: 0.012917 (0.012877) Loss: 0.16877 (0.23212) +2025-08-24,10:08:22 | INFO | Train Epoch: 9 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.22471 (0.21926) Boundary_loss: 0.012886 (0.012877) Loss: 0.23760 (0.23214) +2025-08-24,10:09:27 | INFO | Train Epoch: 9 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.26119 (0.21939) Boundary_loss: 0.012838 (0.012876) Loss: 0.27403 (0.23227) +2025-08-24,10:10:32 | INFO | Train Epoch: 9 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.21704 (0.21938) Boundary_loss: 0.012930 (0.012877) Loss: 0.22997 (0.23226) +2025-08-24,10:11:37 | INFO | Train Epoch: 9 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.20826 (0.21935) Boundary_loss: 0.012844 (0.012877) Loss: 0.22110 (0.23223) +2025-08-24,10:12:42 | INFO | Train Epoch: 9 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.23299 (0.21939) Boundary_loss: 0.012844 (0.012876) Loss: 0.24584 (0.23227) +2025-08-24,10:13:47 | INFO | Train Epoch: 9 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.17182 (0.21924) Boundary_loss: 0.012877 (0.012876) Loss: 0.18470 (0.23212) +2025-08-24,10:14:52 | INFO | Train Epoch: 9 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.18452 (0.21914) Boundary_loss: 0.012897 (0.012877) Loss: 0.19742 (0.23201) +2025-08-24,10:15:57 | INFO | Train Epoch: 9 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.17796 (0.21901) Boundary_loss: 0.012867 (0.012876) Loss: 0.19083 (0.23189) +2025-08-24,10:17:02 | INFO | Train Epoch: 9 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.18862 (0.21892) Boundary_loss: 0.012854 (0.012876) Loss: 0.20148 (0.23179) +2025-08-24,10:18:07 | INFO | Train Epoch: 9 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.17072 (0.21877) Boundary_loss: 0.012947 (0.012877) Loss: 0.18367 (0.23165) +2025-08-24,10:19:12 | INFO | Train Epoch: 9 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.27351 (0.21894) Boundary_loss: 0.012911 (0.012877) Loss: 0.28642 (0.23181) +2025-08-24,10:20:17 | INFO | Train Epoch: 9 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.26363 (0.21907) Boundary_loss: 0.012840 (0.012877) Loss: 0.27647 (0.23195) +2025-08-24,10:21:22 | INFO | Train Epoch: 9 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.20223 (0.21902) Boundary_loss: 0.012887 (0.012877) Loss: 0.21512 (0.23190) +2025-08-24,10:22:27 | INFO | Train Epoch: 9 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.21337 (0.21900) Boundary_loss: 0.012878 (0.012877) Loss: 0.22624 (0.23188) +2025-08-24,10:23:32 | INFO | Train Epoch: 9 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.26773 (0.21915) Boundary_loss: 0.012891 (0.012877) Loss: 0.28062 (0.23203) +2025-08-24,10:24:37 | INFO | Train Epoch: 9 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.23257 (0.21919) Boundary_loss: 0.012749 (0.012876) Loss: 0.24532 (0.23207) +2025-08-24,10:25:42 | INFO | Train Epoch: 9 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.22014 (0.21919) Boundary_loss: 0.012843 (0.012876) Loss: 0.23298 (0.23207) +2025-08-24,10:26:47 | INFO | Train Epoch: 9 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.29080 (0.21941) Boundary_loss: 0.012868 (0.012876) Loss: 0.30367 (0.23228) +2025-08-24,10:27:52 | INFO | Train Epoch: 9 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.14952 (0.21920) Boundary_loss: 0.012835 (0.012876) Loss: 0.16236 (0.23208) +2025-08-24,10:28:57 | INFO | Train Epoch: 9 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.627 Boundary Ratio: 0.100 Contrastive_loss: 0.25676 (0.21931) Boundary_loss: 0.012910 (0.012876) Loss: 0.26967 (0.23219) +2025-08-24,10:30:02 | INFO | Train Epoch: 9 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.23815 (0.21937) Boundary_loss: 0.012815 (0.012876) Loss: 0.25096 (0.23224) +2025-08-24,10:31:07 | INFO | Train Epoch: 9 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.21569 (0.21936) Boundary_loss: 0.012822 (0.012876) Loss: 0.22851 (0.23223) +2025-08-24,10:32:12 | INFO | Train Epoch: 9 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.25467 (0.21946) Boundary_loss: 0.012798 (0.012876) Loss: 0.26747 (0.23234) +2025-08-24,10:33:17 | INFO | Train Epoch: 9 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.21111 (0.21944) Boundary_loss: 0.012974 (0.012876) Loss: 0.22408 (0.23231) +2025-08-24,10:34:22 | INFO | Train Epoch: 9 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.22505 (0.21945) Boundary_loss: 0.012951 (0.012876) Loss: 0.23800 (0.23233) +2025-08-24,10:35:27 | INFO | Train Epoch: 9 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.24334 (0.21952) Boundary_loss: 0.012908 (0.012876) Loss: 0.25625 (0.23240) +2025-08-24,10:36:32 | INFO | Train Epoch: 9 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.19466 (0.21945) Boundary_loss: 0.012866 (0.012876) Loss: 0.20753 (0.23233) +2025-08-24,10:37:38 | INFO | Train Epoch: 9 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.17282 (0.21931) Boundary_loss: 0.012817 (0.012876) Loss: 0.18564 (0.23219) +2025-08-24,10:38:43 | INFO | Train Epoch: 9 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.17166 (0.21918) Boundary_loss: 0.012823 (0.012876) Loss: 0.18448 (0.23205) +2025-08-24,10:39:47 | INFO | Train Epoch: 9 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.22711 (0.21920) Boundary_loss: 0.012791 (0.012876) Loss: 0.23991 (0.23208) +2025-08-24,10:40:53 | INFO | Train Epoch: 9 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.24062 (0.21926) Boundary_loss: 0.012992 (0.012876) Loss: 0.25361 (0.23214) +2025-08-24,10:41:58 | INFO | Train Epoch: 9 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.19781 (0.21920) Boundary_loss: 0.012860 (0.012876) Loss: 0.21067 (0.23208) +2025-08-24,10:43:03 | INFO | Train Epoch: 9 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.20696 (0.21916) Boundary_loss: 0.012902 (0.012876) Loss: 0.21986 (0.23204) +2025-08-24,10:44:08 | INFO | Train Epoch: 9 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.23957 (0.21922) Boundary_loss: 0.012841 (0.012876) Loss: 0.25241 (0.23210) +2025-08-24,10:45:13 | INFO | Train Epoch: 9 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.21874 (0.21922) Boundary_loss: 0.012853 (0.012876) Loss: 0.23159 (0.23210) +2025-08-24,10:46:18 | INFO | Train Epoch: 9 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.25373 (0.21932) Boundary_loss: 0.012827 (0.012876) Loss: 0.26656 (0.23220) +2025-08-24,10:47:23 | INFO | Train Epoch: 9 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.21533 (0.21931) Boundary_loss: 0.012928 (0.012876) Loss: 0.22826 (0.23218) +2025-08-24,10:48:28 | INFO | Train Epoch: 9 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.20210 (0.21926) Boundary_loss: 0.013075 (0.012876) Loss: 0.21517 (0.23214) +2025-08-24,10:49:33 | INFO | Train Epoch: 9 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.23384 (0.21930) Boundary_loss: 0.012989 (0.012877) Loss: 0.24683 (0.23218) +2025-08-24,10:50:38 | INFO | Train Epoch: 9 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.24866 (0.21938) Boundary_loss: 0.012871 (0.012877) Loss: 0.26153 (0.23226) +2025-08-24,10:51:43 | INFO | Train Epoch: 9 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.24656 (0.21946) Boundary_loss: 0.012838 (0.012877) Loss: 0.25940 (0.23234) +2025-08-24,10:52:48 | INFO | Train Epoch: 9 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.24148 (0.21952) Boundary_loss: 0.012842 (0.012876) Loss: 0.25432 (0.23240) +2025-08-24,10:53:53 | INFO | Train Epoch: 9 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.23146 (0.21955) Boundary_loss: 0.012799 (0.012876) Loss: 0.24426 (0.23243) +2025-08-24,10:54:58 | INFO | Train Epoch: 9 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.19802 (0.21949) Boundary_loss: 0.012908 (0.012876) Loss: 0.21093 (0.23237) +2025-08-24,10:56:03 | INFO | Train Epoch: 9 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.18779 (0.21941) Boundary_loss: 0.012862 (0.012876) Loss: 0.20065 (0.23228) +2025-08-24,10:57:08 | INFO | Train Epoch: 9 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.20634 (0.21937) Boundary_loss: 0.012775 (0.012876) Loss: 0.21912 (0.23225) +2025-08-24,10:58:13 | INFO | Train Epoch: 9 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.20323 (0.21933) Boundary_loss: 0.012802 (0.012876) Loss: 0.21604 (0.23220) +2025-08-24,10:59:18 | INFO | Train Epoch: 9 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.19203 (0.21925) Boundary_loss: 0.012887 (0.012876) Loss: 0.20492 (0.23213) +2025-08-24,11:00:23 | INFO | Train Epoch: 9 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 0.19201 (0.21918) Boundary_loss: 0.013000 (0.012876) Loss: 0.20501 (0.23205) +2025-08-24,11:01:28 | INFO | Train Epoch: 9 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.24636 (0.21925) Boundary_loss: 0.012847 (0.012876) Loss: 0.25921 (0.23213) +2025-08-24,11:02:33 | INFO | Train Epoch: 9 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.20818 (0.21922) Boundary_loss: 0.012896 (0.012876) Loss: 0.22107 (0.23210) +2025-08-24,11:03:38 | INFO | Train Epoch: 9 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.23528 (0.21926) Boundary_loss: 0.012873 (0.012876) Loss: 0.24815 (0.23214) +2025-08-24,11:04:43 | INFO | Train Epoch: 9 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.26062 (0.21938) Boundary_loss: 0.012863 (0.012876) Loss: 0.27348 (0.23225) +2025-08-24,11:05:49 | INFO | Train Epoch: 9 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.17484 (0.21926) Boundary_loss: 0.012878 (0.012876) Loss: 0.18772 (0.23213) +2025-08-24,11:06:54 | INFO | Train Epoch: 9 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.22539 (0.21927) Boundary_loss: 0.012829 (0.012876) Loss: 0.23822 (0.23215) +2025-08-24,11:07:59 | INFO | Train Epoch: 9 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.22334 (0.21928) Boundary_loss: 0.012887 (0.012876) Loss: 0.23622 (0.23216) +2025-08-24,11:09:04 | INFO | Train Epoch: 9 [19098112/26365952 (72%)] Avg Boundaries (per batch): 18.934 Boundary Ratio: 0.097 Contrastive_loss: 0.29049 (0.21947) Boundary_loss: 0.012922 (0.012876) Loss: 0.30341 (0.23235) +2025-08-24,11:10:09 | INFO | Train Epoch: 9 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.17459 (0.21935) Boundary_loss: 0.012857 (0.012876) Loss: 0.18745 (0.23223) +2025-08-24,11:11:14 | INFO | Train Epoch: 9 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.17353 (0.21923) Boundary_loss: 0.012790 (0.012876) Loss: 0.18632 (0.23211) +2025-08-24,11:12:19 | INFO | Train Epoch: 9 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.17223 (0.21911) Boundary_loss: 0.012928 (0.012876) Loss: 0.18516 (0.23198) +2025-08-24,11:13:24 | INFO | Train Epoch: 9 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.22423 (0.21912) Boundary_loss: 0.012839 (0.012876) Loss: 0.23707 (0.23200) +2025-08-24,11:14:29 | INFO | Train Epoch: 9 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.19104 (0.21905) Boundary_loss: 0.012854 (0.012876) Loss: 0.20389 (0.23192) +2025-08-24,11:15:34 | INFO | Train Epoch: 9 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.22655 (0.21907) Boundary_loss: 0.012826 (0.012876) Loss: 0.23937 (0.23194) +2025-08-24,11:16:39 | INFO | Train Epoch: 9 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.20858 (0.21904) Boundary_loss: 0.012819 (0.012876) Loss: 0.22140 (0.23191) +2025-08-24,11:17:44 | INFO | Train Epoch: 9 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.21528 (0.21903) Boundary_loss: 0.012788 (0.012875) Loss: 0.22807 (0.23190) +2025-08-24,11:18:50 | INFO | Train Epoch: 9 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.14927 (0.21885) Boundary_loss: 0.012849 (0.012875) Loss: 0.16212 (0.23172) +2025-08-24,11:19:55 | INFO | Train Epoch: 9 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.22298 (0.21886) Boundary_loss: 0.012767 (0.012875) Loss: 0.23575 (0.23173) +2025-08-24,11:21:00 | INFO | Train Epoch: 9 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.15828 (0.21870) Boundary_loss: 0.012900 (0.012875) Loss: 0.17118 (0.23158) +2025-08-24,11:22:05 | INFO | Train Epoch: 9 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.26923 (0.21883) Boundary_loss: 0.012880 (0.012875) Loss: 0.28211 (0.23171) +2025-08-24,11:23:10 | INFO | Train Epoch: 9 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.21162 (0.21881) Boundary_loss: 0.012868 (0.012875) Loss: 0.22449 (0.23169) +2025-08-24,11:24:15 | INFO | Train Epoch: 9 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.18443 (0.21872) Boundary_loss: 0.012909 (0.012875) Loss: 0.19734 (0.23160) +2025-08-24,11:25:20 | INFO | Train Epoch: 9 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.17483 (0.21861) Boundary_loss: 0.012942 (0.012875) Loss: 0.18778 (0.23149) +2025-08-24,11:26:25 | INFO | Train Epoch: 9 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.25142 (0.21870) Boundary_loss: 0.012848 (0.012875) Loss: 0.26427 (0.23157) +2025-08-24,11:27:30 | INFO | Train Epoch: 9 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 0.23796 (0.21874) Boundary_loss: 0.012935 (0.012875) Loss: 0.25090 (0.23162) +2025-08-24,11:28:35 | INFO | Train Epoch: 9 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.24784 (0.21882) Boundary_loss: 0.012875 (0.012875) Loss: 0.26072 (0.23169) +2025-08-24,11:29:40 | INFO | Train Epoch: 9 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.21893 (0.21882) Boundary_loss: 0.012896 (0.012875) Loss: 0.23182 (0.23169) +2025-08-24,11:30:45 | INFO | Train Epoch: 9 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.21858 (0.21882) Boundary_loss: 0.012810 (0.012875) Loss: 0.23139 (0.23169) +2025-08-24,11:31:50 | INFO | Train Epoch: 9 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.16311 (0.21868) Boundary_loss: 0.012870 (0.012875) Loss: 0.17598 (0.23155) +2025-08-24,11:32:55 | INFO | Train Epoch: 9 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.27335 (0.21882) Boundary_loss: 0.012850 (0.012875) Loss: 0.28620 (0.23169) +2025-08-24,11:34:00 | INFO | Train Epoch: 9 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.23914 (0.21887) Boundary_loss: 0.012925 (0.012875) Loss: 0.25206 (0.23174) +2025-08-24,11:35:05 | INFO | Train Epoch: 9 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.31113 (0.21910) Boundary_loss: 0.012940 (0.012876) Loss: 0.32407 (0.23197) +2025-08-24,11:36:10 | INFO | Train Epoch: 9 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.24359 (0.21916) Boundary_loss: 0.012824 (0.012875) Loss: 0.25641 (0.23204) +2025-08-24,11:37:16 | INFO | Train Epoch: 9 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.27346 (0.21930) Boundary_loss: 0.012813 (0.012875) Loss: 0.28627 (0.23217) +2025-08-24,11:38:21 | INFO | Train Epoch: 9 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.18759 (0.21922) Boundary_loss: 0.012990 (0.012876) Loss: 0.20058 (0.23209) +2025-08-24,11:39:26 | INFO | Train Epoch: 9 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.22647 (0.21923) Boundary_loss: 0.012979 (0.012876) Loss: 0.23945 (0.23211) +2025-08-24,11:40:31 | INFO | Train Epoch: 9 [20582912/26365952 (78%)] Avg Boundaries (per batch): 18.965 Boundary Ratio: 0.097 Contrastive_loss: 0.15815 (0.21908) Boundary_loss: 0.012843 (0.012876) Loss: 0.17099 (0.23196) +2025-08-24,11:41:36 | INFO | Train Epoch: 9 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.19729 (0.21903) Boundary_loss: 0.012883 (0.012876) Loss: 0.21017 (0.23190) +2025-08-24,11:42:41 | INFO | Train Epoch: 9 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.25692 (0.21912) Boundary_loss: 0.012810 (0.012876) Loss: 0.26973 (0.23200) +2025-08-24,11:43:46 | INFO | Train Epoch: 9 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.21847 (0.21912) Boundary_loss: 0.013051 (0.012876) Loss: 0.23153 (0.23200) +2025-08-24,11:44:51 | INFO | Train Epoch: 9 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.24268 (0.21918) Boundary_loss: 0.012875 (0.012876) Loss: 0.25556 (0.23206) +2025-08-24,11:45:56 | INFO | Train Epoch: 9 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.22781 (0.21920) Boundary_loss: 0.012798 (0.012876) Loss: 0.24061 (0.23208) +2025-08-24,11:47:01 | INFO | Train Epoch: 9 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.22064 (0.21920) Boundary_loss: 0.013010 (0.012876) Loss: 0.23365 (0.23208) +2025-08-24,11:48:06 | INFO | Train Epoch: 9 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 0.25351 (0.21929) Boundary_loss: 0.012860 (0.012876) Loss: 0.26637 (0.23216) +2025-08-24,11:49:11 | INFO | Train Epoch: 9 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.20063 (0.21924) Boundary_loss: 0.012829 (0.012876) Loss: 0.21346 (0.23212) +2025-08-24,11:50:16 | INFO | Train Epoch: 9 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.22190 (0.21925) Boundary_loss: 0.012752 (0.012876) Loss: 0.23465 (0.23212) +2025-08-24,11:51:21 | INFO | Train Epoch: 9 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.19029 (0.21918) Boundary_loss: 0.012889 (0.012876) Loss: 0.20318 (0.23205) +2025-08-24,11:52:26 | INFO | Train Epoch: 9 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.22392 (0.21919) Boundary_loss: 0.012824 (0.012876) Loss: 0.23674 (0.23207) +2025-08-24,11:53:31 | INFO | Train Epoch: 9 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.22596 (0.21921) Boundary_loss: 0.012898 (0.012876) Loss: 0.23886 (0.23208) +2025-08-24,11:54:36 | INFO | Train Epoch: 9 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.18586 (0.21913) Boundary_loss: 0.012791 (0.012875) Loss: 0.19866 (0.23200) +2025-08-24,11:55:41 | INFO | Train Epoch: 9 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.14638 (0.21895) Boundary_loss: 0.012872 (0.012875) Loss: 0.15925 (0.23183) +2025-08-24,11:56:46 | INFO | Train Epoch: 9 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.23841 (0.21900) Boundary_loss: 0.012784 (0.012875) Loss: 0.25119 (0.23187) +2025-08-24,11:57:52 | INFO | Train Epoch: 9 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.20036 (0.21895) Boundary_loss: 0.012924 (0.012875) Loss: 0.21329 (0.23183) +2025-08-24,11:58:57 | INFO | Train Epoch: 9 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.15240 (0.21880) Boundary_loss: 0.012886 (0.012875) Loss: 0.16529 (0.23167) +2025-08-24,12:00:02 | INFO | Train Epoch: 9 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.22812 (0.21882) Boundary_loss: 0.013007 (0.012876) Loss: 0.24113 (0.23169) +2025-08-24,12:01:07 | INFO | Train Epoch: 9 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.17617 (0.21872) Boundary_loss: 0.012903 (0.012876) Loss: 0.18907 (0.23159) +2025-08-24,12:02:12 | INFO | Train Epoch: 9 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.21420 (0.21871) Boundary_loss: 0.012968 (0.012876) Loss: 0.22717 (0.23158) +2025-08-24,12:03:17 | INFO | Train Epoch: 9 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.23860 (0.21875) Boundary_loss: 0.012914 (0.012876) Loss: 0.25152 (0.23163) +2025-08-24,12:04:22 | INFO | Train Epoch: 9 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.23449 (0.21879) Boundary_loss: 0.012786 (0.012876) Loss: 0.24728 (0.23167) +2025-08-24,12:05:27 | INFO | Train Epoch: 9 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.21781 (0.21879) Boundary_loss: 0.012826 (0.012876) Loss: 0.23064 (0.23166) +2025-08-24,12:06:32 | INFO | Train Epoch: 9 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.20377 (0.21875) Boundary_loss: 0.012854 (0.012876) Loss: 0.21662 (0.23163) +2025-08-24,12:07:37 | INFO | Train Epoch: 9 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.17924 (0.21866) Boundary_loss: 0.012858 (0.012876) Loss: 0.19210 (0.23154) +2025-08-24,12:08:42 | INFO | Train Epoch: 9 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.33789 (0.21894) Boundary_loss: 0.012845 (0.012876) Loss: 0.35073 (0.23181) +2025-08-24,12:09:47 | INFO | Train Epoch: 9 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.23168 (0.21897) Boundary_loss: 0.012903 (0.012876) Loss: 0.24458 (0.23184) +2025-08-24,12:10:52 | INFO | Train Epoch: 9 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.19060 (0.21890) Boundary_loss: 0.012824 (0.012875) Loss: 0.20342 (0.23178) +2025-08-24,12:11:57 | INFO | Train Epoch: 9 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.20192 (0.21886) Boundary_loss: 0.012850 (0.012875) Loss: 0.21477 (0.23174) +2025-08-24,12:13:02 | INFO | Train Epoch: 9 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.25543 (0.21895) Boundary_loss: 0.012802 (0.012875) Loss: 0.26823 (0.23182) +2025-08-24,12:14:07 | INFO | Train Epoch: 9 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.24169 (0.21900) Boundary_loss: 0.012888 (0.012875) Loss: 0.25458 (0.23187) +2025-08-24,12:15:12 | INFO | Train Epoch: 9 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.17912 (0.21891) Boundary_loss: 0.012863 (0.012875) Loss: 0.19198 (0.23178) +2025-08-24,12:16:17 | INFO | Train Epoch: 9 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.28228 (0.21905) Boundary_loss: 0.012900 (0.012875) Loss: 0.29518 (0.23193) +2025-08-24,12:17:22 | INFO | Train Epoch: 9 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 0.24421 (0.21911) Boundary_loss: 0.012850 (0.012875) Loss: 0.25706 (0.23199) +2025-08-24,12:18:27 | INFO | Train Epoch: 9 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.21750 (0.21911) Boundary_loss: 0.012888 (0.012875) Loss: 0.23039 (0.23198) +2025-08-24,12:19:32 | INFO | Train Epoch: 9 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.20587 (0.21908) Boundary_loss: 0.012909 (0.012875) Loss: 0.21878 (0.23195) +2025-08-24,12:20:37 | INFO | Train Epoch: 9 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.21848 (0.21908) Boundary_loss: 0.012834 (0.012875) Loss: 0.23132 (0.23195) +2025-08-24,12:21:42 | INFO | Train Epoch: 9 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.23402 (0.21911) Boundary_loss: 0.012964 (0.012875) Loss: 0.24698 (0.23198) +2025-08-24,12:22:47 | INFO | Train Epoch: 9 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.24317 (0.21916) Boundary_loss: 0.012899 (0.012876) Loss: 0.25607 (0.23204) +2025-08-24,12:23:52 | INFO | Train Epoch: 9 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.22195 (0.21917) Boundary_loss: 0.012899 (0.012876) Loss: 0.23485 (0.23205) +2025-08-24,12:24:57 | INFO | Train Epoch: 9 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.20163 (0.21913) Boundary_loss: 0.012882 (0.012876) Loss: 0.21451 (0.23201) +2025-08-24,12:26:02 | INFO | Train Epoch: 9 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.24160 (0.21918) Boundary_loss: 0.012869 (0.012876) Loss: 0.25447 (0.23206) +2025-08-24,12:27:07 | INFO | Train Epoch: 9 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.23905 (0.21923) Boundary_loss: 0.012924 (0.012876) Loss: 0.25197 (0.23210) +2025-08-24,12:28:12 | INFO | Train Epoch: 9 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.21694 (0.21922) Boundary_loss: 0.012779 (0.012875) Loss: 0.22972 (0.23210) +2025-08-24,12:29:18 | INFO | Train Epoch: 9 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.24255 (0.21927) Boundary_loss: 0.012863 (0.012875) Loss: 0.25541 (0.23215) +2025-08-24,12:30:23 | INFO | Train Epoch: 9 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.24902 (0.21934) Boundary_loss: 0.012845 (0.012875) Loss: 0.26187 (0.23221) +2025-08-24,12:31:28 | INFO | Train Epoch: 9 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.18620 (0.21926) Boundary_loss: 0.012798 (0.012875) Loss: 0.19900 (0.23214) +2025-08-24,12:32:33 | INFO | Train Epoch: 9 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.18449 (0.21919) Boundary_loss: 0.012853 (0.012875) Loss: 0.19734 (0.23206) +2025-08-24,12:33:38 | INFO | Train Epoch: 9 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.21533 (0.21918) Boundary_loss: 0.012935 (0.012875) Loss: 0.22827 (0.23205) +2025-08-24,12:34:43 | INFO | Train Epoch: 9 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.24592 (0.21924) Boundary_loss: 0.012854 (0.012875) Loss: 0.25878 (0.23211) +2025-08-24,12:35:48 | INFO | Train Epoch: 9 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.24652 (0.21930) Boundary_loss: 0.012839 (0.012875) Loss: 0.25936 (0.23217) +2025-08-24,12:36:53 | INFO | Train Epoch: 9 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.19593 (0.21925) Boundary_loss: 0.012822 (0.012875) Loss: 0.20875 (0.23212) +2025-08-24,12:37:58 | INFO | Train Epoch: 9 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.21824 (0.21924) Boundary_loss: 0.012876 (0.012875) Loss: 0.23112 (0.23212) +2025-08-24,12:39:03 | INFO | Train Epoch: 9 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.18684 (0.21917) Boundary_loss: 0.012977 (0.012875) Loss: 0.19981 (0.23205) +2025-08-24,12:40:08 | INFO | Train Epoch: 9 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.25153 (0.21924) Boundary_loss: 0.012830 (0.012875) Loss: 0.26436 (0.23212) +2025-08-24,12:41:13 | INFO | Train Epoch: 9 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.22812 (0.21926) Boundary_loss: 0.012876 (0.012875) Loss: 0.24100 (0.23214) +2025-08-24,12:42:18 | INFO | Train Epoch: 9 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.22589 (0.21928) Boundary_loss: 0.012785 (0.012875) Loss: 0.23867 (0.23215) +2025-08-24,12:43:23 | INFO | Train Epoch: 9 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.27049 (0.21939) Boundary_loss: 0.012885 (0.012875) Loss: 0.28338 (0.23226) +2025-08-24,12:44:28 | INFO | Train Epoch: 9 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.17164 (0.21929) Boundary_loss: 0.012898 (0.012875) Loss: 0.18453 (0.23216) +2025-08-24,12:45:33 | INFO | Train Epoch: 9 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 0.17530 (0.21919) Boundary_loss: 0.012856 (0.012875) Loss: 0.18816 (0.23207) +2025-08-24,12:46:38 | INFO | Train Epoch: 9 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.19846 (0.21915) Boundary_loss: 0.012835 (0.012875) Loss: 0.21129 (0.23202) +2025-08-24,12:47:43 | INFO | Train Epoch: 9 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.19590 (0.21910) Boundary_loss: 0.012857 (0.012875) Loss: 0.20875 (0.23197) +2025-08-24,12:48:48 | INFO | Train Epoch: 9 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.22258 (0.21910) Boundary_loss: 0.012797 (0.012875) Loss: 0.23538 (0.23198) +2025-08-24,12:49:53 | INFO | Train Epoch: 9 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.18305 (0.21903) Boundary_loss: 0.012897 (0.012875) Loss: 0.19594 (0.23190) +2025-08-24,12:50:58 | INFO | Train Epoch: 9 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.23926 (0.21907) Boundary_loss: 0.012802 (0.012875) Loss: 0.25206 (0.23194) +2025-08-24,12:52:03 | INFO | Train Epoch: 9 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.27234 (0.21918) Boundary_loss: 0.012745 (0.012874) Loss: 0.28508 (0.23206) +2025-08-24,12:53:08 | INFO | Train Epoch: 9 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.16607 (0.21907) Boundary_loss: 0.012824 (0.012874) Loss: 0.17889 (0.23194) +2025-08-24,12:54:13 | INFO | Train Epoch: 9 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.27084 (0.21918) Boundary_loss: 0.012899 (0.012874) Loss: 0.28374 (0.23205) +2025-08-24,12:55:18 | INFO | Train Epoch: 9 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.24825 (0.21924) Boundary_loss: 0.012779 (0.012874) Loss: 0.26103 (0.23212) +2025-08-24,12:56:23 | INFO | Train Epoch: 9 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.693 Boundary Ratio: 0.100 Contrastive_loss: 0.21479 (0.21923) Boundary_loss: 0.012903 (0.012874) Loss: 0.22769 (0.23211) +2025-08-24,12:57:28 | INFO | Train Epoch: 9 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.22665 (0.21925) Boundary_loss: 0.012851 (0.012874) Loss: 0.23950 (0.23212) +2025-08-24,12:58:33 | INFO | Train Epoch: 9 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.25076 (0.21931) Boundary_loss: 0.012831 (0.012874) Loss: 0.26359 (0.23219) +2025-08-24,12:59:38 | INFO | Train Epoch: 9 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.22322 (0.21932) Boundary_loss: 0.012759 (0.012874) Loss: 0.23598 (0.23220) +2025-08-24,13:00:43 | INFO | Train Epoch: 9 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.21446 (0.21931) Boundary_loss: 0.012925 (0.012874) Loss: 0.22739 (0.23219) +2025-08-24,13:01:48 | INFO | Train Epoch: 9 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.23145 (0.21934) Boundary_loss: 0.012896 (0.012874) Loss: 0.24435 (0.23221) +2025-08-24,13:02:53 | INFO | Train Epoch: 9 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.24835 (0.21940) Boundary_loss: 0.012732 (0.012874) Loss: 0.26108 (0.23227) +2025-08-24,13:03:58 | INFO | Train Epoch: 9 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.23033 (0.21942) Boundary_loss: 0.012883 (0.012874) Loss: 0.24322 (0.23229) +2025-08-24,13:05:03 | INFO | Train Epoch: 9 [24576512/26365952 (93%)] Avg Boundaries (per batch): 18.916 Boundary Ratio: 0.097 Contrastive_loss: 0.27358 (0.21953) Boundary_loss: 0.012870 (0.012874) Loss: 0.28645 (0.23241) +2025-08-24,13:06:08 | INFO | Train Epoch: 9 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.23997 (0.21958) Boundary_loss: 0.012840 (0.012874) Loss: 0.25281 (0.23245) +2025-08-24,13:07:13 | INFO | Train Epoch: 9 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.26027 (0.21966) Boundary_loss: 0.012861 (0.012874) Loss: 0.27313 (0.23253) +2025-08-24,13:08:18 | INFO | Train Epoch: 9 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.21029 (0.21964) Boundary_loss: 0.012840 (0.012873) Loss: 0.22313 (0.23251) +2025-08-24,13:09:23 | INFO | Train Epoch: 9 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.25635 (0.21972) Boundary_loss: 0.012860 (0.012873) Loss: 0.26921 (0.23259) +2025-08-24,13:10:28 | INFO | Train Epoch: 9 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.25472 (0.21979) Boundary_loss: 0.012839 (0.012873) Loss: 0.26756 (0.23266) +2025-08-24,13:11:33 | INFO | Train Epoch: 9 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.21222 (0.21977) Boundary_loss: 0.012837 (0.012873) Loss: 0.22505 (0.23265) +2025-08-24,13:12:38 | INFO | Train Epoch: 9 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.17788 (0.21969) Boundary_loss: 0.012798 (0.012873) Loss: 0.19068 (0.23256) +2025-08-24,13:13:43 | INFO | Train Epoch: 9 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.25012 (0.21975) Boundary_loss: 0.012904 (0.012873) Loss: 0.26302 (0.23262) +2025-08-24,13:14:48 | INFO | Train Epoch: 9 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.24977 (0.21981) Boundary_loss: 0.012853 (0.012873) Loss: 0.26262 (0.23268) +2025-08-24,13:15:53 | INFO | Train Epoch: 9 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.22211 (0.21982) Boundary_loss: 0.012936 (0.012873) Loss: 0.23505 (0.23269) +2025-08-24,13:16:58 | INFO | Train Epoch: 9 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.18374 (0.21974) Boundary_loss: 0.012857 (0.012873) Loss: 0.19660 (0.23262) +2025-08-24,13:18:03 | INFO | Train Epoch: 9 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.20229 (0.21971) Boundary_loss: 0.012804 (0.012873) Loss: 0.21509 (0.23258) +2025-08-24,13:19:08 | INFO | Train Epoch: 9 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.16983 (0.21961) Boundary_loss: 0.012783 (0.012873) Loss: 0.18262 (0.23248) +2025-08-24,13:20:13 | INFO | Train Epoch: 9 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.24426 (0.21966) Boundary_loss: 0.012759 (0.012873) Loss: 0.25702 (0.23253) +2025-08-24,13:21:18 | INFO | Train Epoch: 9 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.27286 (0.21976) Boundary_loss: 0.012881 (0.012873) Loss: 0.28574 (0.23264) +2025-08-24,13:22:23 | INFO | Train Epoch: 9 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.18945 (0.21970) Boundary_loss: 0.012927 (0.012873) Loss: 0.20237 (0.23257) +2025-08-24,13:23:28 | INFO | Train Epoch: 9 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.15866 (0.21958) Boundary_loss: 0.012848 (0.012873) Loss: 0.17151 (0.23245) +2025-08-24,13:24:33 | INFO | Train Epoch: 9 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.27954 (0.21970) Boundary_loss: 0.012857 (0.012873) Loss: 0.29240 (0.23257) +2025-08-24,13:25:38 | INFO | Train Epoch: 9 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.27619 (0.21981) Boundary_loss: 0.012833 (0.012873) Loss: 0.28902 (0.23269) +2025-08-24,13:26:43 | INFO | Train Epoch: 9 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.24229 (0.21986) Boundary_loss: 0.012765 (0.012872) Loss: 0.25505 (0.23273) +2025-08-24,13:27:48 | INFO | Train Epoch: 9 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.24330 (0.21990) Boundary_loss: 0.012917 (0.012873) Loss: 0.25622 (0.23278) +2025-08-24,13:28:53 | INFO | Train Epoch: 9 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.20024 (0.21987) Boundary_loss: 0.012842 (0.012872) Loss: 0.21309 (0.23274) +2025-08-24,13:29:58 | INFO | Train Epoch: 9 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.18326 (0.21979) Boundary_loss: 0.012878 (0.012872) Loss: 0.19614 (0.23266) +2025-08-24,13:31:03 | INFO | Train Epoch: 9 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.22866 (0.21981) Boundary_loss: 0.012828 (0.012872) Loss: 0.24149 (0.23268) +2025-08-24,13:32:08 | INFO | Train Epoch: 9 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.34354 (0.22005) Boundary_loss: 0.012909 (0.012872) Loss: 0.35645 (0.23293) +2025-08-24,13:33:13 | INFO | Train Epoch: 9 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.19174 (0.22000) Boundary_loss: 0.012898 (0.012873) Loss: 0.20464 (0.23287) +2025-08-24,13:34:18 | INFO | Train Epoch: 9 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.19700 (0.21995) Boundary_loss: 0.012927 (0.012873) Loss: 0.20992 (0.23283) +2025-08-24,13:35:23 | INFO | Train Epoch: 9 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.19722 (0.21991) Boundary_loss: 0.012856 (0.012873) Loss: 0.21007 (0.23278) +2025-08-24,13:36:28 | INFO | Train Epoch: 9 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.20249 (0.21987) Boundary_loss: 0.012782 (0.012872) Loss: 0.21527 (0.23275) +2025-08-24,13:37:33 | INFO | Train Epoch: 9 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.19777 (0.21983) Boundary_loss: 0.012819 (0.012872) Loss: 0.21059 (0.23270) +2025-08-24,13:38:38 | INFO | Train Epoch: 9 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.23828 (0.21987) Boundary_loss: 0.012808 (0.012872) Loss: 0.25109 (0.23274) +2025-08-24,13:39:43 | INFO | Train Epoch: 9 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.20298 (0.21983) Boundary_loss: 0.012807 (0.012872) Loss: 0.21578 (0.23271) +2025-08-24,13:40:48 | INFO | Train Epoch: 9 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.21475 (0.21982) Boundary_loss: 0.012853 (0.012872) Loss: 0.22760 (0.23270) +2025-08-24,13:41:53 | INFO | Train Epoch: 9 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.25326 (0.21989) Boundary_loss: 0.012872 (0.012872) Loss: 0.26613 (0.23276) +2025-08-24,13:42:55 | INFO | Train Epoch: 9 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.18625 (0.21982) Boundary_loss: 0.012853 (0.012872) Loss: 0.19910 (0.23270) +2025-08-24,13:42:55 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-24,13:42:55 | INFO | [Epoch 9] Average Step Time: 0.653s | Average GPU Memory: 37.3 GB +2025-08-24,13:42:55 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-24,13:42:55 | INFO | Starting zero-shot imagenet. +2025-08-24,13:42:55 | INFO | Building zero-shot classifier +2025-08-24,13:43:04 | INFO | Using classifier +2025-08-24,13:43:48 | INFO | Finished zero-shot imagenet. +2025-08-24,13:43:48 | INFO | Eval Epoch: 10 imagenet-zeroshot-val-top1: 0.2940 imagenet-zeroshot-val-top5: 0.5624 +2025-08-24,13:43:49 | INFO | Start epoch 10 +2025-08-24,13:43:51 | INFO | Train Epoch: 10 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.14662 (0.14662) Boundary_loss: 0.012857 (0.012857) Loss: 0.15948 (0.15948) +2025-08-24,13:44:56 | INFO | Train Epoch: 10 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.16070 (0.15366) Boundary_loss: 0.012968 (0.012912) Loss: 0.17367 (0.16658) +2025-08-24,13:46:01 | INFO | Train Epoch: 10 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.17699 (0.16144) Boundary_loss: 0.012914 (0.012913) Loss: 0.18991 (0.17435) +2025-08-24,13:47:06 | INFO | Train Epoch: 10 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.20524 (0.17239) Boundary_loss: 0.012908 (0.012912) Loss: 0.21815 (0.18530) +2025-08-24,13:48:11 | INFO | Train Epoch: 10 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.18444 (0.17480) Boundary_loss: 0.012888 (0.012907) Loss: 0.19732 (0.18771) +2025-08-24,13:49:16 | INFO | Train Epoch: 10 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.22103 (0.18251) Boundary_loss: 0.012896 (0.012905) Loss: 0.23393 (0.19541) +2025-08-24,13:50:21 | INFO | Train Epoch: 10 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.11143 (0.17235) Boundary_loss: 0.012830 (0.012895) Loss: 0.12426 (0.18525) +2025-08-24,13:51:25 | INFO | Train Epoch: 10 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.19970 (0.17577) Boundary_loss: 0.012915 (0.012897) Loss: 0.21262 (0.18867) +2025-08-24,13:52:30 | INFO | Train Epoch: 10 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.24036 (0.18295) Boundary_loss: 0.012921 (0.012900) Loss: 0.25328 (0.19585) +2025-08-24,13:53:35 | INFO | Train Epoch: 10 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.18635 (0.18329) Boundary_loss: 0.012879 (0.012898) Loss: 0.19923 (0.19619) +2025-08-24,13:54:40 | INFO | Train Epoch: 10 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.16243 (0.18139) Boundary_loss: 0.012841 (0.012893) Loss: 0.17527 (0.19428) +2025-08-24,13:55:45 | INFO | Train Epoch: 10 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.19360 (0.18241) Boundary_loss: 0.012832 (0.012888) Loss: 0.20643 (0.19530) +2025-08-24,13:56:49 | INFO | Train Epoch: 10 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.18114 (0.18231) Boundary_loss: 0.012818 (0.012882) Loss: 0.19396 (0.19519) +2025-08-24,13:57:54 | INFO | Train Epoch: 10 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.19984 (0.18356) Boundary_loss: 0.012843 (0.012879) Loss: 0.21268 (0.19644) +2025-08-24,13:58:59 | INFO | Train Epoch: 10 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.23046 (0.18669) Boundary_loss: 0.012883 (0.012880) Loss: 0.24334 (0.19957) +2025-08-24,14:00:04 | INFO | Train Epoch: 10 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 18.967 Boundary Ratio: 0.097 Contrastive_loss: 0.19974 (0.18751) Boundary_loss: 0.012993 (0.012887) Loss: 0.21273 (0.20039) +2025-08-24,14:01:09 | INFO | Train Epoch: 10 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.16980 (0.18646) Boundary_loss: 0.012880 (0.012886) Loss: 0.18268 (0.19935) +2025-08-24,14:02:13 | INFO | Train Epoch: 10 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.18019 (0.18612) Boundary_loss: 0.012849 (0.012884) Loss: 0.19304 (0.19900) +2025-08-24,14:03:18 | INFO | Train Epoch: 10 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.15102 (0.18427) Boundary_loss: 0.012761 (0.012878) Loss: 0.16378 (0.19715) +2025-08-24,14:04:23 | INFO | Train Epoch: 10 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.13182 (0.18165) Boundary_loss: 0.012801 (0.012874) Loss: 0.14462 (0.19452) +2025-08-24,14:05:28 | INFO | Train Epoch: 10 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.23888 (0.18437) Boundary_loss: 0.012782 (0.012870) Loss: 0.25166 (0.19724) +2025-08-24,14:06:32 | INFO | Train Epoch: 10 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.24538 (0.18714) Boundary_loss: 0.012875 (0.012870) Loss: 0.25825 (0.20001) +2025-08-24,14:07:37 | INFO | Train Epoch: 10 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.22227 (0.18867) Boundary_loss: 0.012828 (0.012868) Loss: 0.23510 (0.20154) +2025-08-24,14:08:42 | INFO | Train Epoch: 10 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.16990 (0.18789) Boundary_loss: 0.012817 (0.012866) Loss: 0.18272 (0.20076) +2025-08-24,14:09:47 | INFO | Train Epoch: 10 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.16997 (0.18717) Boundary_loss: 0.012861 (0.012866) Loss: 0.18283 (0.20004) +2025-08-24,14:10:52 | INFO | Train Epoch: 10 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.14521 (0.18556) Boundary_loss: 0.012786 (0.012863) Loss: 0.15799 (0.19842) +2025-08-24,14:11:56 | INFO | Train Epoch: 10 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.14693 (0.18413) Boundary_loss: 0.012863 (0.012863) Loss: 0.15979 (0.19699) +2025-08-24,14:13:01 | INFO | Train Epoch: 10 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.14655 (0.18279) Boundary_loss: 0.012828 (0.012861) Loss: 0.15938 (0.19565) +2025-08-24,14:14:06 | INFO | Train Epoch: 10 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.19039 (0.18305) Boundary_loss: 0.012830 (0.012860) Loss: 0.20322 (0.19591) +2025-08-24,14:15:11 | INFO | Train Epoch: 10 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.19383 (0.18341) Boundary_loss: 0.012873 (0.012861) Loss: 0.20670 (0.19627) +2025-08-24,14:16:15 | INFO | Train Epoch: 10 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.19083 (0.18365) Boundary_loss: 0.012786 (0.012858) Loss: 0.20362 (0.19651) +2025-08-24,14:17:20 | INFO | Train Epoch: 10 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.22589 (0.18497) Boundary_loss: 0.012762 (0.012855) Loss: 0.23865 (0.19782) +2025-08-24,14:18:25 | INFO | Train Epoch: 10 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.14395 (0.18372) Boundary_loss: 0.012825 (0.012854) Loss: 0.15677 (0.19658) +2025-08-24,14:19:30 | INFO | Train Epoch: 10 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.18133 (0.18365) Boundary_loss: 0.012882 (0.012855) Loss: 0.19421 (0.19651) +2025-08-24,14:20:35 | INFO | Train Epoch: 10 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.18276 (0.18363) Boundary_loss: 0.012800 (0.012854) Loss: 0.19556 (0.19648) +2025-08-24,14:21:39 | INFO | Train Epoch: 10 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.19550 (0.18396) Boundary_loss: 0.012831 (0.012853) Loss: 0.20833 (0.19681) +2025-08-24,14:22:44 | INFO | Train Epoch: 10 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.19604 (0.18428) Boundary_loss: 0.012801 (0.012852) Loss: 0.20884 (0.19714) +2025-08-24,14:23:49 | INFO | Train Epoch: 10 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.13315 (0.18294) Boundary_loss: 0.012821 (0.012851) Loss: 0.14598 (0.19579) +2025-08-24,14:24:54 | INFO | Train Epoch: 10 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.21685 (0.18381) Boundary_loss: 0.012920 (0.012853) Loss: 0.22977 (0.19666) +2025-08-24,14:25:59 | INFO | Train Epoch: 10 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.22129 (0.18475) Boundary_loss: 0.012801 (0.012851) Loss: 0.23409 (0.19760) +2025-08-24,14:27:03 | INFO | Train Epoch: 10 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.16115 (0.18417) Boundary_loss: 0.012888 (0.012852) Loss: 0.17404 (0.19702) +2025-08-24,14:28:08 | INFO | Train Epoch: 10 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.14637 (0.18327) Boundary_loss: 0.012824 (0.012852) Loss: 0.15920 (0.19612) +2025-08-24,14:29:13 | INFO | Train Epoch: 10 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.20461 (0.18377) Boundary_loss: 0.012869 (0.012852) Loss: 0.21748 (0.19662) +2025-08-24,14:30:18 | INFO | Train Epoch: 10 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.16814 (0.18341) Boundary_loss: 0.012819 (0.012851) Loss: 0.18096 (0.19626) +2025-08-24,14:31:23 | INFO | Train Epoch: 10 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.23898 (0.18465) Boundary_loss: 0.012703 (0.012848) Loss: 0.25168 (0.19749) +2025-08-24,14:32:28 | INFO | Train Epoch: 10 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.18567 (0.18467) Boundary_loss: 0.012840 (0.012848) Loss: 0.19851 (0.19752) +2025-08-24,14:33:33 | INFO | Train Epoch: 10 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.15184 (0.18397) Boundary_loss: 0.012805 (0.012847) Loss: 0.16464 (0.19682) +2025-08-24,14:34:37 | INFO | Train Epoch: 10 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.14823 (0.18323) Boundary_loss: 0.012783 (0.012845) Loss: 0.16101 (0.19607) +2025-08-24,14:35:42 | INFO | Train Epoch: 10 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.20152 (0.18360) Boundary_loss: 0.012833 (0.012845) Loss: 0.21435 (0.19644) +2025-08-24,14:36:47 | INFO | Train Epoch: 10 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.18212 (0.18357) Boundary_loss: 0.012839 (0.012845) Loss: 0.19496 (0.19641) +2025-08-24,14:37:52 | INFO | Train Epoch: 10 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.16054 (0.18312) Boundary_loss: 0.012854 (0.012845) Loss: 0.17339 (0.19596) +2025-08-24,14:38:57 | INFO | Train Epoch: 10 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.14323 (0.18235) Boundary_loss: 0.012772 (0.012844) Loss: 0.15600 (0.19519) +2025-08-24,14:40:02 | INFO | Train Epoch: 10 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.22475 (0.18315) Boundary_loss: 0.012847 (0.012844) Loss: 0.23759 (0.19599) +2025-08-24,14:41:07 | INFO | Train Epoch: 10 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.17833 (0.18306) Boundary_loss: 0.012761 (0.012842) Loss: 0.19109 (0.19590) +2025-08-24,14:42:12 | INFO | Train Epoch: 10 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.12292 (0.18197) Boundary_loss: 0.012983 (0.012845) Loss: 0.13590 (0.19481) +2025-08-24,14:43:17 | INFO | Train Epoch: 10 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.18924 (0.18210) Boundary_loss: 0.012940 (0.012847) Loss: 0.20218 (0.19494) +2025-08-24,14:44:22 | INFO | Train Epoch: 10 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.22697 (0.18288) Boundary_loss: 0.012892 (0.012847) Loss: 0.23986 (0.19573) +2025-08-24,14:45:26 | INFO | Train Epoch: 10 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.16524 (0.18258) Boundary_loss: 0.012932 (0.012849) Loss: 0.17817 (0.19543) +2025-08-24,14:46:31 | INFO | Train Epoch: 10 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.14025 (0.18186) Boundary_loss: 0.012857 (0.012849) Loss: 0.15311 (0.19471) +2025-08-24,14:47:36 | INFO | Train Epoch: 10 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.18359 (0.18189) Boundary_loss: 0.012820 (0.012849) Loss: 0.19641 (0.19474) +2025-08-24,14:48:41 | INFO | Train Epoch: 10 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.22259 (0.18256) Boundary_loss: 0.012908 (0.012849) Loss: 0.23550 (0.19541) +2025-08-24,14:49:46 | INFO | Train Epoch: 10 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.17907 (0.18250) Boundary_loss: 0.012810 (0.012849) Loss: 0.19188 (0.19535) +2025-08-24,14:50:51 | INFO | Train Epoch: 10 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.14571 (0.18192) Boundary_loss: 0.012716 (0.012847) Loss: 0.15842 (0.19477) +2025-08-24,14:51:56 | INFO | Train Epoch: 10 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.17032 (0.18174) Boundary_loss: 0.012859 (0.012847) Loss: 0.18318 (0.19458) +2025-08-24,14:53:01 | INFO | Train Epoch: 10 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.21738 (0.18229) Boundary_loss: 0.012880 (0.012847) Loss: 0.23026 (0.19513) +2025-08-24,14:54:06 | INFO | Train Epoch: 10 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.25235 (0.18335) Boundary_loss: 0.012804 (0.012847) Loss: 0.26515 (0.19619) +2025-08-24,14:55:11 | INFO | Train Epoch: 10 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.15464 (0.18292) Boundary_loss: 0.012874 (0.012847) Loss: 0.16752 (0.19577) +2025-08-24,14:56:16 | INFO | Train Epoch: 10 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.13278 (0.18218) Boundary_loss: 0.012809 (0.012847) Loss: 0.14559 (0.19503) +2025-08-24,14:57:21 | INFO | Train Epoch: 10 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.21182 (0.18261) Boundary_loss: 0.012941 (0.012848) Loss: 0.22476 (0.19546) +2025-08-24,14:58:26 | INFO | Train Epoch: 10 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.17375 (0.18248) Boundary_loss: 0.012846 (0.012848) Loss: 0.18660 (0.19533) +2025-08-24,14:59:31 | INFO | Train Epoch: 10 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.14448 (0.18195) Boundary_loss: 0.012869 (0.012848) Loss: 0.15735 (0.19480) +2025-08-24,15:00:36 | INFO | Train Epoch: 10 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.16013 (0.18165) Boundary_loss: 0.012827 (0.012848) Loss: 0.17296 (0.19449) +2025-08-24,15:01:41 | INFO | Train Epoch: 10 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.16863 (0.18147) Boundary_loss: 0.012798 (0.012847) Loss: 0.18143 (0.19432) +2025-08-24,15:02:46 | INFO | Train Epoch: 10 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.14351 (0.18096) Boundary_loss: 0.012809 (0.012847) Loss: 0.15632 (0.19380) +2025-08-24,15:03:51 | INFO | Train Epoch: 10 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.16532 (0.18075) Boundary_loss: 0.012908 (0.012848) Loss: 0.17823 (0.19359) +2025-08-24,15:04:56 | INFO | Train Epoch: 10 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.16813 (0.18058) Boundary_loss: 0.012840 (0.012847) Loss: 0.18097 (0.19343) +2025-08-24,15:06:01 | INFO | Train Epoch: 10 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.15877 (0.18030) Boundary_loss: 0.012825 (0.012847) Loss: 0.17160 (0.19314) +2025-08-24,15:07:06 | INFO | Train Epoch: 10 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.17922 (0.18028) Boundary_loss: 0.012894 (0.012848) Loss: 0.19211 (0.19313) +2025-08-24,15:08:11 | INFO | Train Epoch: 10 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.17318 (0.18019) Boundary_loss: 0.012874 (0.012848) Loss: 0.18606 (0.19304) +2025-08-24,15:09:16 | INFO | Train Epoch: 10 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.17610 (0.18014) Boundary_loss: 0.012870 (0.012848) Loss: 0.18897 (0.19299) +2025-08-24,15:10:21 | INFO | Train Epoch: 10 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.15434 (0.17982) Boundary_loss: 0.012927 (0.012849) Loss: 0.16727 (0.19267) +2025-08-24,15:11:26 | INFO | Train Epoch: 10 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.15035 (0.17946) Boundary_loss: 0.012924 (0.012850) Loss: 0.16327 (0.19231) +2025-08-24,15:12:31 | INFO | Train Epoch: 10 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.600 Boundary Ratio: 0.100 Contrastive_loss: 0.18410 (0.17952) Boundary_loss: 0.012857 (0.012850) Loss: 0.19695 (0.19237) +2025-08-24,15:13:36 | INFO | Train Epoch: 10 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.14150 (0.17907) Boundary_loss: 0.012882 (0.012851) Loss: 0.15439 (0.19192) +2025-08-24,15:14:41 | INFO | Train Epoch: 10 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.17444 (0.17901) Boundary_loss: 0.012857 (0.012851) Loss: 0.18730 (0.19186) +2025-08-24,15:15:45 | INFO | Train Epoch: 10 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.10472 (0.17815) Boundary_loss: 0.012859 (0.012851) Loss: 0.11758 (0.19100) +2025-08-24,15:16:50 | INFO | Train Epoch: 10 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.20039 (0.17840) Boundary_loss: 0.012812 (0.012850) Loss: 0.21320 (0.19126) +2025-08-24,15:17:55 | INFO | Train Epoch: 10 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.20580 (0.17872) Boundary_loss: 0.012816 (0.012850) Loss: 0.21861 (0.19157) +2025-08-24,15:19:00 | INFO | Train Epoch: 10 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.18515 (0.17879) Boundary_loss: 0.012843 (0.012850) Loss: 0.19799 (0.19164) +2025-08-24,15:20:05 | INFO | Train Epoch: 10 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.20334 (0.17906) Boundary_loss: 0.012872 (0.012850) Loss: 0.21621 (0.19191) +2025-08-24,15:21:10 | INFO | Train Epoch: 10 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.16350 (0.17889) Boundary_loss: 0.012786 (0.012850) Loss: 0.17628 (0.19174) +2025-08-24,15:22:15 | INFO | Train Epoch: 10 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.15786 (0.17866) Boundary_loss: 0.012849 (0.012850) Loss: 0.17071 (0.19151) +2025-08-24,15:23:20 | INFO | Train Epoch: 10 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.17724 (0.17865) Boundary_loss: 0.012835 (0.012849) Loss: 0.19008 (0.19150) +2025-08-24,15:24:25 | INFO | Train Epoch: 10 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.17314 (0.17859) Boundary_loss: 0.012865 (0.012850) Loss: 0.18601 (0.19144) +2025-08-24,15:25:30 | INFO | Train Epoch: 10 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.15050 (0.17829) Boundary_loss: 0.012804 (0.012849) Loss: 0.16331 (0.19114) +2025-08-24,15:26:35 | INFO | Train Epoch: 10 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.18568 (0.17837) Boundary_loss: 0.012815 (0.012849) Loss: 0.19850 (0.19122) +2025-08-24,15:27:40 | INFO | Train Epoch: 10 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.20552 (0.17865) Boundary_loss: 0.012754 (0.012848) Loss: 0.21827 (0.19150) +2025-08-24,15:28:45 | INFO | Train Epoch: 10 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.18508 (0.17871) Boundary_loss: 0.012836 (0.012848) Loss: 0.19792 (0.19156) +2025-08-24,15:29:50 | INFO | Train Epoch: 10 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.15628 (0.17849) Boundary_loss: 0.012916 (0.012848) Loss: 0.16920 (0.19134) +2025-08-24,15:30:55 | INFO | Train Epoch: 10 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.19425 (0.17865) Boundary_loss: 0.012921 (0.012849) Loss: 0.20717 (0.19149) +2025-08-24,15:32:00 | INFO | Train Epoch: 10 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.16946 (0.17855) Boundary_loss: 0.012807 (0.012849) Loss: 0.18227 (0.19140) +2025-08-24,15:33:05 | INFO | Train Epoch: 10 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.20114 (0.17878) Boundary_loss: 0.012810 (0.012848) Loss: 0.21395 (0.19162) +2025-08-24,15:34:10 | INFO | Train Epoch: 10 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.17570 (0.17875) Boundary_loss: 0.012951 (0.012849) Loss: 0.18865 (0.19160) +2025-08-24,15:35:15 | INFO | Train Epoch: 10 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.16641 (0.17863) Boundary_loss: 0.012871 (0.012849) Loss: 0.17928 (0.19148) +2025-08-24,15:36:20 | INFO | Train Epoch: 10 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.15515 (0.17840) Boundary_loss: 0.012807 (0.012849) Loss: 0.16795 (0.19125) +2025-08-24,15:37:25 | INFO | Train Epoch: 10 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.18615 (0.17848) Boundary_loss: 0.012895 (0.012849) Loss: 0.19904 (0.19133) +2025-08-24,15:38:30 | INFO | Train Epoch: 10 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.17399 (0.17844) Boundary_loss: 0.012944 (0.012850) Loss: 0.18694 (0.19129) +2025-08-24,15:39:35 | INFO | Train Epoch: 10 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.19523 (0.17859) Boundary_loss: 0.012809 (0.012850) Loss: 0.20804 (0.19144) +2025-08-24,15:40:40 | INFO | Train Epoch: 10 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.14979 (0.17833) Boundary_loss: 0.012827 (0.012850) Loss: 0.16262 (0.19118) +2025-08-24,15:41:45 | INFO | Train Epoch: 10 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.17088 (0.17826) Boundary_loss: 0.012902 (0.012850) Loss: 0.18378 (0.19111) +2025-08-24,15:42:50 | INFO | Train Epoch: 10 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.22484 (0.17868) Boundary_loss: 0.012720 (0.012849) Loss: 0.23756 (0.19153) +2025-08-24,15:43:55 | INFO | Train Epoch: 10 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.16310 (0.17854) Boundary_loss: 0.012853 (0.012849) Loss: 0.17595 (0.19139) +2025-08-24,15:45:00 | INFO | Train Epoch: 10 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 18.990 Boundary Ratio: 0.097 Contrastive_loss: 0.18637 (0.17861) Boundary_loss: 0.012933 (0.012850) Loss: 0.19931 (0.19146) +2025-08-24,15:46:05 | INFO | Train Epoch: 10 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.19057 (0.17871) Boundary_loss: 0.012935 (0.012851) Loss: 0.20351 (0.19156) +2025-08-24,15:47:10 | INFO | Train Epoch: 10 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.18953 (0.17881) Boundary_loss: 0.012851 (0.012851) Loss: 0.20238 (0.19166) +2025-08-24,15:48:15 | INFO | Train Epoch: 10 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.16552 (0.17869) Boundary_loss: 0.013109 (0.012853) Loss: 0.17863 (0.19155) +2025-08-24,15:49:20 | INFO | Train Epoch: 10 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.18358 (0.17874) Boundary_loss: 0.012840 (0.012853) Loss: 0.19642 (0.19159) +2025-08-24,15:50:25 | INFO | Train Epoch: 10 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 0.16885 (0.17865) Boundary_loss: 0.012863 (0.012853) Loss: 0.18171 (0.19150) +2025-08-24,15:51:30 | INFO | Train Epoch: 10 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.20107 (0.17884) Boundary_loss: 0.012855 (0.012853) Loss: 0.21392 (0.19169) +2025-08-24,15:52:35 | INFO | Train Epoch: 10 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.15937 (0.17868) Boundary_loss: 0.012850 (0.012853) Loss: 0.17222 (0.19153) +2025-08-24,15:53:40 | INFO | Train Epoch: 10 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.17938 (0.17868) Boundary_loss: 0.012853 (0.012853) Loss: 0.19224 (0.19154) +2025-08-24,15:54:45 | INFO | Train Epoch: 10 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.15818 (0.17852) Boundary_loss: 0.012785 (0.012852) Loss: 0.17096 (0.19137) +2025-08-24,15:55:50 | INFO | Train Epoch: 10 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.15624 (0.17833) Boundary_loss: 0.012825 (0.012852) Loss: 0.16906 (0.19119) +2025-08-24,15:56:55 | INFO | Train Epoch: 10 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.18824 (0.17841) Boundary_loss: 0.012837 (0.012852) Loss: 0.20107 (0.19127) +2025-08-24,15:58:00 | INFO | Train Epoch: 10 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.20376 (0.17862) Boundary_loss: 0.012947 (0.012853) Loss: 0.21671 (0.19147) +2025-08-24,15:59:05 | INFO | Train Epoch: 10 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.21612 (0.17891) Boundary_loss: 0.012893 (0.012853) Loss: 0.22902 (0.19177) +2025-08-24,16:00:10 | INFO | Train Epoch: 10 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.16857 (0.17883) Boundary_loss: 0.012792 (0.012852) Loss: 0.18136 (0.19169) +2025-08-24,16:01:15 | INFO | Train Epoch: 10 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.678 Boundary Ratio: 0.100 Contrastive_loss: 0.15353 (0.17864) Boundary_loss: 0.012864 (0.012853) Loss: 0.16639 (0.19149) +2025-08-24,16:02:20 | INFO | Train Epoch: 10 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.14671 (0.17839) Boundary_loss: 0.012904 (0.012853) Loss: 0.15962 (0.19124) +2025-08-24,16:03:25 | INFO | Train Epoch: 10 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.16727 (0.17830) Boundary_loss: 0.012900 (0.012853) Loss: 0.18017 (0.19116) +2025-08-24,16:04:30 | INFO | Train Epoch: 10 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.18641 (0.17836) Boundary_loss: 0.012859 (0.012853) Loss: 0.19927 (0.19122) +2025-08-24,16:05:35 | INFO | Train Epoch: 10 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.752 Boundary Ratio: 0.101 Contrastive_loss: 0.17947 (0.17837) Boundary_loss: 0.012878 (0.012854) Loss: 0.19235 (0.19123) +2025-08-24,16:06:40 | INFO | Train Epoch: 10 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.17219 (0.17833) Boundary_loss: 0.012908 (0.012854) Loss: 0.18510 (0.19118) +2025-08-24,16:07:45 | INFO | Train Epoch: 10 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.20421 (0.17852) Boundary_loss: 0.012802 (0.012854) Loss: 0.21701 (0.19137) +2025-08-24,16:08:50 | INFO | Train Epoch: 10 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.14438 (0.17827) Boundary_loss: 0.012877 (0.012854) Loss: 0.15725 (0.19112) +2025-08-24,16:09:55 | INFO | Train Epoch: 10 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.19080 (0.17836) Boundary_loss: 0.012894 (0.012854) Loss: 0.20370 (0.19121) +2025-08-24,16:11:00 | INFO | Train Epoch: 10 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.13278 (0.17803) Boundary_loss: 0.012869 (0.012854) Loss: 0.14565 (0.19088) +2025-08-24,16:12:05 | INFO | Train Epoch: 10 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.15626 (0.17787) Boundary_loss: 0.012784 (0.012854) Loss: 0.16904 (0.19072) +2025-08-24,16:13:10 | INFO | Train Epoch: 10 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.18307 (0.17791) Boundary_loss: 0.012754 (0.012853) Loss: 0.19583 (0.19076) +2025-08-24,16:14:15 | INFO | Train Epoch: 10 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.16589 (0.17782) Boundary_loss: 0.012890 (0.012853) Loss: 0.17878 (0.19067) +2025-08-24,16:15:20 | INFO | Train Epoch: 10 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.17265 (0.17778) Boundary_loss: 0.012864 (0.012853) Loss: 0.18551 (0.19064) +2025-08-24,16:16:25 | INFO | Train Epoch: 10 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.18837 (0.17786) Boundary_loss: 0.012851 (0.012853) Loss: 0.20122 (0.19071) +2025-08-24,16:17:30 | INFO | Train Epoch: 10 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.19333 (0.17797) Boundary_loss: 0.012886 (0.012853) Loss: 0.20621 (0.19082) +2025-08-24,16:18:35 | INFO | Train Epoch: 10 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.17527 (0.17795) Boundary_loss: 0.012788 (0.012853) Loss: 0.18806 (0.19080) +2025-08-24,16:19:41 | INFO | Train Epoch: 10 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.16462 (0.17786) Boundary_loss: 0.012843 (0.012853) Loss: 0.17746 (0.19071) +2025-08-24,16:20:46 | INFO | Train Epoch: 10 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.713 Boundary Ratio: 0.101 Contrastive_loss: 0.17855 (0.17786) Boundary_loss: 0.012893 (0.012853) Loss: 0.19144 (0.19071) +2025-08-24,16:21:51 | INFO | Train Epoch: 10 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.18358 (0.17790) Boundary_loss: 0.012773 (0.012853) Loss: 0.19635 (0.19075) +2025-08-24,16:22:56 | INFO | Train Epoch: 10 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 18.900 Boundary Ratio: 0.096 Contrastive_loss: 0.11603 (0.17748) Boundary_loss: 0.012871 (0.012853) Loss: 0.12890 (0.19033) +2025-08-24,16:24:01 | INFO | Train Epoch: 10 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.14238 (0.17725) Boundary_loss: 0.012806 (0.012852) Loss: 0.15518 (0.19010) +2025-08-24,16:25:06 | INFO | Train Epoch: 10 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.12890 (0.17692) Boundary_loss: 0.012837 (0.012852) Loss: 0.14174 (0.18978) +2025-08-24,16:26:11 | INFO | Train Epoch: 10 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.16655 (0.17685) Boundary_loss: 0.012811 (0.012852) Loss: 0.17936 (0.18971) +2025-08-24,16:27:16 | INFO | Train Epoch: 10 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.15639 (0.17672) Boundary_loss: 0.012907 (0.012852) Loss: 0.16929 (0.18957) +2025-08-24,16:28:21 | INFO | Train Epoch: 10 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.15070 (0.17655) Boundary_loss: 0.012868 (0.012853) Loss: 0.16356 (0.18940) +2025-08-24,16:29:26 | INFO | Train Epoch: 10 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.15455 (0.17641) Boundary_loss: 0.012811 (0.012852) Loss: 0.16736 (0.18926) +2025-08-24,16:30:31 | INFO | Train Epoch: 10 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.15444 (0.17626) Boundary_loss: 0.012845 (0.012852) Loss: 0.16728 (0.18912) +2025-08-24,16:31:36 | INFO | Train Epoch: 10 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.16590 (0.17620) Boundary_loss: 0.012847 (0.012852) Loss: 0.17875 (0.18905) +2025-08-24,16:32:41 | INFO | Train Epoch: 10 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 0.14073 (0.17597) Boundary_loss: 0.012775 (0.012852) Loss: 0.15351 (0.18882) +2025-08-24,16:33:46 | INFO | Train Epoch: 10 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.15280 (0.17583) Boundary_loss: 0.012909 (0.012852) Loss: 0.16571 (0.18868) +2025-08-24,16:34:51 | INFO | Train Epoch: 10 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.16879 (0.17578) Boundary_loss: 0.012925 (0.012853) Loss: 0.18172 (0.18863) +2025-08-24,16:35:56 | INFO | Train Epoch: 10 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.20631 (0.17597) Boundary_loss: 0.012837 (0.012852) Loss: 0.21914 (0.18882) +2025-08-24,16:37:01 | INFO | Train Epoch: 10 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.14971 (0.17581) Boundary_loss: 0.012821 (0.012852) Loss: 0.16253 (0.18866) +2025-08-24,16:38:06 | INFO | Train Epoch: 10 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.15527 (0.17568) Boundary_loss: 0.012949 (0.012853) Loss: 0.16821 (0.18854) +2025-08-24,16:39:12 | INFO | Train Epoch: 10 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.16218 (0.17560) Boundary_loss: 0.012936 (0.012853) Loss: 0.17512 (0.18845) +2025-08-24,16:40:17 | INFO | Train Epoch: 10 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.19187 (0.17570) Boundary_loss: 0.012862 (0.012853) Loss: 0.20473 (0.18855) +2025-08-24,16:41:22 | INFO | Train Epoch: 10 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.16189 (0.17562) Boundary_loss: 0.012906 (0.012854) Loss: 0.17480 (0.18847) +2025-08-24,16:42:27 | INFO | Train Epoch: 10 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 18.932 Boundary Ratio: 0.097 Contrastive_loss: 0.16105 (0.17553) Boundary_loss: 0.012898 (0.012854) Loss: 0.17395 (0.18838) +2025-08-24,16:43:32 | INFO | Train Epoch: 10 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.16427 (0.17546) Boundary_loss: 0.012804 (0.012854) Loss: 0.17707 (0.18831) +2025-08-24,16:44:37 | INFO | Train Epoch: 10 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.16118 (0.17537) Boundary_loss: 0.012814 (0.012853) Loss: 0.17400 (0.18823) +2025-08-24,16:45:42 | INFO | Train Epoch: 10 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.17346 (0.17536) Boundary_loss: 0.012895 (0.012854) Loss: 0.18636 (0.18822) +2025-08-24,16:46:47 | INFO | Train Epoch: 10 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.14181 (0.17517) Boundary_loss: 0.012802 (0.012853) Loss: 0.15461 (0.18802) +2025-08-24,16:47:52 | INFO | Train Epoch: 10 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.13255 (0.17492) Boundary_loss: 0.012850 (0.012853) Loss: 0.14540 (0.18777) +2025-08-24,16:48:57 | INFO | Train Epoch: 10 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.14212 (0.17473) Boundary_loss: 0.012882 (0.012854) Loss: 0.15500 (0.18758) +2025-08-24,16:50:02 | INFO | Train Epoch: 10 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.19046 (0.17482) Boundary_loss: 0.012854 (0.012854) Loss: 0.20331 (0.18767) +2025-08-24,16:51:07 | INFO | Train Epoch: 10 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.20751 (0.17501) Boundary_loss: 0.012810 (0.012853) Loss: 0.22032 (0.18786) +2025-08-24,16:52:12 | INFO | Train Epoch: 10 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.13762 (0.17479) Boundary_loss: 0.012871 (0.012853) Loss: 0.15049 (0.18764) +2025-08-24,16:53:17 | INFO | Train Epoch: 10 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.16077 (0.17471) Boundary_loss: 0.012859 (0.012853) Loss: 0.17363 (0.18757) +2025-08-24,16:54:22 | INFO | Train Epoch: 10 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.17651 (0.17472) Boundary_loss: 0.012774 (0.012853) Loss: 0.18928 (0.18757) +2025-08-24,16:55:27 | INFO | Train Epoch: 10 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.15238 (0.17460) Boundary_loss: 0.012848 (0.012853) Loss: 0.16523 (0.18745) +2025-08-24,16:56:32 | INFO | Train Epoch: 10 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.18442 (0.17465) Boundary_loss: 0.012897 (0.012853) Loss: 0.19732 (0.18750) +2025-08-24,16:57:37 | INFO | Train Epoch: 10 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.26271 (0.17514) Boundary_loss: 0.012919 (0.012854) Loss: 0.27563 (0.18799) +2025-08-24,16:58:42 | INFO | Train Epoch: 10 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.14831 (0.17499) Boundary_loss: 0.012771 (0.012853) Loss: 0.16108 (0.18785) +2025-08-24,16:59:47 | INFO | Train Epoch: 10 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.18625 (0.17505) Boundary_loss: 0.012872 (0.012853) Loss: 0.19912 (0.18791) +2025-08-24,17:00:53 | INFO | Train Epoch: 10 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.15553 (0.17495) Boundary_loss: 0.012902 (0.012853) Loss: 0.16843 (0.18780) +2025-08-24,17:01:58 | INFO | Train Epoch: 10 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.20169 (0.17509) Boundary_loss: 0.012911 (0.012854) Loss: 0.21460 (0.18795) +2025-08-24,17:03:03 | INFO | Train Epoch: 10 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.17592 (0.17510) Boundary_loss: 0.012880 (0.012854) Loss: 0.18880 (0.18795) +2025-08-24,17:04:08 | INFO | Train Epoch: 10 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.17722 (0.17511) Boundary_loss: 0.012944 (0.012854) Loss: 0.19016 (0.18796) +2025-08-24,17:05:13 | INFO | Train Epoch: 10 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.17798 (0.17512) Boundary_loss: 0.012820 (0.012854) Loss: 0.19080 (0.18798) +2025-08-24,17:06:18 | INFO | Train Epoch: 10 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.18185 (0.17516) Boundary_loss: 0.012775 (0.012854) Loss: 0.19462 (0.18801) +2025-08-24,17:07:23 | INFO | Train Epoch: 10 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.20743 (0.17533) Boundary_loss: 0.012910 (0.012854) Loss: 0.22034 (0.18818) +2025-08-24,17:08:28 | INFO | Train Epoch: 10 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.613 Boundary Ratio: 0.100 Contrastive_loss: 0.14138 (0.17515) Boundary_loss: 0.012830 (0.012854) Loss: 0.15421 (0.18801) +2025-08-24,17:09:33 | INFO | Train Epoch: 10 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.17982 (0.17518) Boundary_loss: 0.012880 (0.012854) Loss: 0.19270 (0.18803) +2025-08-24,17:10:38 | INFO | Train Epoch: 10 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.17253 (0.17516) Boundary_loss: 0.012782 (0.012854) Loss: 0.18531 (0.18802) +2025-08-24,17:11:43 | INFO | Train Epoch: 10 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.16436 (0.17511) Boundary_loss: 0.012801 (0.012853) Loss: 0.17716 (0.18796) +2025-08-24,17:12:48 | INFO | Train Epoch: 10 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.15574 (0.17501) Boundary_loss: 0.012865 (0.012854) Loss: 0.16860 (0.18786) +2025-08-24,17:13:53 | INFO | Train Epoch: 10 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.12868 (0.17477) Boundary_loss: 0.012889 (0.012854) Loss: 0.14157 (0.18762) +2025-08-24,17:14:58 | INFO | Train Epoch: 10 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.16406 (0.17471) Boundary_loss: 0.012810 (0.012854) Loss: 0.17687 (0.18757) +2025-08-24,17:16:03 | INFO | Train Epoch: 10 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.18340 (0.17476) Boundary_loss: 0.012798 (0.012853) Loss: 0.19619 (0.18761) +2025-08-24,17:17:08 | INFO | Train Epoch: 10 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.14420 (0.17460) Boundary_loss: 0.012893 (0.012853) Loss: 0.15710 (0.18746) +2025-08-24,17:18:13 | INFO | Train Epoch: 10 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.18282 (0.17465) Boundary_loss: 0.012938 (0.012854) Loss: 0.19576 (0.18750) +2025-08-24,17:19:18 | INFO | Train Epoch: 10 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 0.19027 (0.17472) Boundary_loss: 0.012793 (0.012854) Loss: 0.20306 (0.18758) +2025-08-24,17:20:23 | INFO | Train Epoch: 10 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.19204 (0.17481) Boundary_loss: 0.012901 (0.012854) Loss: 0.20494 (0.18766) +2025-08-24,17:21:28 | INFO | Train Epoch: 10 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.16536 (0.17476) Boundary_loss: 0.012891 (0.012854) Loss: 0.17825 (0.18762) +2025-08-24,17:22:33 | INFO | Train Epoch: 10 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 0.12245 (0.17451) Boundary_loss: 0.012857 (0.012854) Loss: 0.13531 (0.18736) +2025-08-24,17:23:38 | INFO | Train Epoch: 10 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.648 Boundary Ratio: 0.100 Contrastive_loss: 0.13633 (0.17432) Boundary_loss: 0.012932 (0.012854) Loss: 0.14926 (0.18717) +2025-08-24,17:24:43 | INFO | Train Epoch: 10 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.15590 (0.17423) Boundary_loss: 0.012855 (0.012854) Loss: 0.16876 (0.18708) +2025-08-24,17:25:48 | INFO | Train Epoch: 10 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.16233 (0.17417) Boundary_loss: 0.012909 (0.012855) Loss: 0.17524 (0.18703) +2025-08-24,17:26:53 | INFO | Train Epoch: 10 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.13610 (0.17399) Boundary_loss: 0.012893 (0.012855) Loss: 0.14899 (0.18684) +2025-08-24,17:27:58 | INFO | Train Epoch: 10 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.16166 (0.17393) Boundary_loss: 0.012912 (0.012855) Loss: 0.17457 (0.18678) +2025-08-24,17:29:03 | INFO | Train Epoch: 10 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.588 Boundary Ratio: 0.100 Contrastive_loss: 0.19825 (0.17404) Boundary_loss: 0.012914 (0.012855) Loss: 0.21116 (0.18690) +2025-08-24,17:30:08 | INFO | Train Epoch: 10 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.17629 (0.17405) Boundary_loss: 0.012808 (0.012855) Loss: 0.18910 (0.18691) +2025-08-24,17:31:14 | INFO | Train Epoch: 10 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.11555 (0.17378) Boundary_loss: 0.012803 (0.012855) Loss: 0.12835 (0.18663) +2025-08-24,17:32:19 | INFO | Train Epoch: 10 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.14288 (0.17363) Boundary_loss: 0.012881 (0.012855) Loss: 0.15576 (0.18649) +2025-08-24,17:33:24 | INFO | Train Epoch: 10 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.13634 (0.17346) Boundary_loss: 0.012790 (0.012855) Loss: 0.14913 (0.18631) +2025-08-24,17:34:29 | INFO | Train Epoch: 10 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.16770 (0.17343) Boundary_loss: 0.012924 (0.012855) Loss: 0.18063 (0.18628) +2025-08-24,17:35:34 | INFO | Train Epoch: 10 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.19423 (0.17353) Boundary_loss: 0.012846 (0.012855) Loss: 0.20707 (0.18638) +2025-08-24,17:36:39 | INFO | Train Epoch: 10 [11008512/26365952 (42%)] Avg Boundaries (per batch): 18.967 Boundary Ratio: 0.097 Contrastive_loss: 0.14991 (0.17342) Boundary_loss: 0.012873 (0.012855) Loss: 0.16278 (0.18627) +2025-08-24,17:37:44 | INFO | Train Epoch: 10 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.21156 (0.17359) Boundary_loss: 0.012820 (0.012855) Loss: 0.22438 (0.18645) +2025-08-24,17:38:49 | INFO | Train Epoch: 10 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.15755 (0.17352) Boundary_loss: 0.012863 (0.012855) Loss: 0.17041 (0.18637) +2025-08-24,17:39:54 | INFO | Train Epoch: 10 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.15796 (0.17345) Boundary_loss: 0.012893 (0.012855) Loss: 0.17086 (0.18630) +2025-08-24,17:40:59 | INFO | Train Epoch: 10 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.17779 (0.17347) Boundary_loss: 0.012791 (0.012855) Loss: 0.19058 (0.18632) +2025-08-24,17:42:04 | INFO | Train Epoch: 10 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.18048 (0.17350) Boundary_loss: 0.012823 (0.012855) Loss: 0.19330 (0.18635) +2025-08-24,17:43:09 | INFO | Train Epoch: 10 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.16198 (0.17345) Boundary_loss: 0.012783 (0.012854) Loss: 0.17477 (0.18630) +2025-08-24,17:44:14 | INFO | Train Epoch: 10 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.22259 (0.17367) Boundary_loss: 0.012902 (0.012855) Loss: 0.23549 (0.18652) +2025-08-24,17:45:19 | INFO | Train Epoch: 10 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.19912 (0.17378) Boundary_loss: 0.012802 (0.012854) Loss: 0.21193 (0.18664) +2025-08-24,17:46:24 | INFO | Train Epoch: 10 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.18203 (0.17382) Boundary_loss: 0.012898 (0.012855) Loss: 0.19492 (0.18667) +2025-08-24,17:47:29 | INFO | Train Epoch: 10 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.13884 (0.17366) Boundary_loss: 0.012917 (0.012855) Loss: 0.15176 (0.18652) +2025-08-24,17:48:34 | INFO | Train Epoch: 10 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.23134 (0.17392) Boundary_loss: 0.012955 (0.012855) Loss: 0.24429 (0.18677) +2025-08-24,17:49:39 | INFO | Train Epoch: 10 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.19130 (0.17399) Boundary_loss: 0.012798 (0.012855) Loss: 0.20410 (0.18685) +2025-08-24,17:50:44 | INFO | Train Epoch: 10 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.15927 (0.17393) Boundary_loss: 0.012834 (0.012855) Loss: 0.17211 (0.18678) +2025-08-24,17:51:49 | INFO | Train Epoch: 10 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.17713 (0.17394) Boundary_loss: 0.012781 (0.012855) Loss: 0.18991 (0.18680) +2025-08-24,17:52:54 | INFO | Train Epoch: 10 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.17086 (0.17393) Boundary_loss: 0.012895 (0.012855) Loss: 0.18376 (0.18678) +2025-08-24,17:53:59 | INFO | Train Epoch: 10 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.18436 (0.17397) Boundary_loss: 0.012784 (0.012854) Loss: 0.19714 (0.18683) +2025-08-24,17:55:05 | INFO | Train Epoch: 10 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.16620 (0.17394) Boundary_loss: 0.012859 (0.012854) Loss: 0.17905 (0.18680) +2025-08-24,17:56:10 | INFO | Train Epoch: 10 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.19127 (0.17402) Boundary_loss: 0.012915 (0.012855) Loss: 0.20418 (0.18687) +2025-08-24,17:57:15 | INFO | Train Epoch: 10 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.17304 (0.17401) Boundary_loss: 0.012824 (0.012855) Loss: 0.18586 (0.18687) +2025-08-24,17:58:20 | INFO | Train Epoch: 10 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.19209 (0.17409) Boundary_loss: 0.012769 (0.012854) Loss: 0.20486 (0.18694) +2025-08-24,17:59:25 | INFO | Train Epoch: 10 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.18670 (0.17414) Boundary_loss: 0.012879 (0.012854) Loss: 0.19957 (0.18700) +2025-08-24,18:00:30 | INFO | Train Epoch: 10 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.15604 (0.17407) Boundary_loss: 0.012842 (0.012854) Loss: 0.16888 (0.18692) +2025-08-24,18:01:35 | INFO | Train Epoch: 10 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.14954 (0.17396) Boundary_loss: 0.012869 (0.012854) Loss: 0.16241 (0.18682) +2025-08-24,18:02:40 | INFO | Train Epoch: 10 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.12099 (0.17374) Boundary_loss: 0.012833 (0.012854) Loss: 0.13383 (0.18660) +2025-08-24,18:03:45 | INFO | Train Epoch: 10 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.12201 (0.17353) Boundary_loss: 0.012820 (0.012854) Loss: 0.13483 (0.18638) +2025-08-24,18:04:50 | INFO | Train Epoch: 10 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.20689 (0.17367) Boundary_loss: 0.012869 (0.012854) Loss: 0.21976 (0.18652) +2025-08-24,18:05:55 | INFO | Train Epoch: 10 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.15857 (0.17360) Boundary_loss: 0.012894 (0.012854) Loss: 0.17147 (0.18646) +2025-08-24,18:07:00 | INFO | Train Epoch: 10 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.18945 (0.17367) Boundary_loss: 0.012797 (0.012854) Loss: 0.20224 (0.18652) +2025-08-24,18:08:05 | INFO | Train Epoch: 10 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.23093 (0.17390) Boundary_loss: 0.012895 (0.012854) Loss: 0.24383 (0.18676) +2025-08-24,18:09:10 | INFO | Train Epoch: 10 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.19707 (0.17400) Boundary_loss: 0.012853 (0.012854) Loss: 0.20992 (0.18685) +2025-08-24,18:10:15 | INFO | Train Epoch: 10 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.18570 (0.17404) Boundary_loss: 0.012862 (0.012854) Loss: 0.19856 (0.18690) +2025-08-24,18:11:20 | INFO | Train Epoch: 10 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.18821 (0.17410) Boundary_loss: 0.012828 (0.012854) Loss: 0.20104 (0.18695) +2025-08-24,18:12:25 | INFO | Train Epoch: 10 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.17714 (0.17411) Boundary_loss: 0.012881 (0.012854) Loss: 0.19002 (0.18697) +2025-08-24,18:13:30 | INFO | Train Epoch: 10 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.19001 (0.17418) Boundary_loss: 0.012931 (0.012855) Loss: 0.20295 (0.18703) +2025-08-24,18:14:35 | INFO | Train Epoch: 10 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.14376 (0.17405) Boundary_loss: 0.012823 (0.012854) Loss: 0.15658 (0.18691) +2025-08-24,18:15:40 | INFO | Train Epoch: 10 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.22032 (0.17424) Boundary_loss: 0.012819 (0.012854) Loss: 0.23314 (0.18709) +2025-08-24,18:16:45 | INFO | Train Epoch: 10 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.10816 (0.17398) Boundary_loss: 0.012804 (0.012854) Loss: 0.12096 (0.18683) +2025-08-24,18:17:50 | INFO | Train Epoch: 10 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.16932 (0.17396) Boundary_loss: 0.012799 (0.012854) Loss: 0.18212 (0.18681) +2025-08-24,18:18:55 | INFO | Train Epoch: 10 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.15705 (0.17389) Boundary_loss: 0.012791 (0.012854) Loss: 0.16984 (0.18675) +2025-08-24,18:20:00 | INFO | Train Epoch: 10 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.19155 (0.17396) Boundary_loss: 0.012841 (0.012854) Loss: 0.20439 (0.18682) +2025-08-24,18:21:06 | INFO | Train Epoch: 10 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.18366 (0.17400) Boundary_loss: 0.012807 (0.012853) Loss: 0.19647 (0.18685) +2025-08-24,18:22:11 | INFO | Train Epoch: 10 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.17471 (0.17400) Boundary_loss: 0.012795 (0.012853) Loss: 0.18750 (0.18686) +2025-08-24,18:23:16 | INFO | Train Epoch: 10 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.15397 (0.17392) Boundary_loss: 0.012765 (0.012853) Loss: 0.16674 (0.18678) +2025-08-24,18:24:21 | INFO | Train Epoch: 10 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.16529 (0.17389) Boundary_loss: 0.012809 (0.012853) Loss: 0.17810 (0.18674) +2025-08-24,18:25:26 | INFO | Train Epoch: 10 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.16860 (0.17387) Boundary_loss: 0.012811 (0.012853) Loss: 0.18141 (0.18672) +2025-08-24,18:26:31 | INFO | Train Epoch: 10 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.17534 (0.17388) Boundary_loss: 0.012845 (0.012853) Loss: 0.18818 (0.18673) +2025-08-24,18:27:36 | INFO | Train Epoch: 10 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.16715 (0.17385) Boundary_loss: 0.012825 (0.012852) Loss: 0.17998 (0.18670) +2025-08-24,18:28:41 | INFO | Train Epoch: 10 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.18084 (0.17388) Boundary_loss: 0.012791 (0.012852) Loss: 0.19363 (0.18673) +2025-08-24,18:29:46 | INFO | Train Epoch: 10 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.21572 (0.17404) Boundary_loss: 0.012814 (0.012852) Loss: 0.22853 (0.18689) +2025-08-24,18:30:51 | INFO | Train Epoch: 10 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.17487 (0.17404) Boundary_loss: 0.012786 (0.012852) Loss: 0.18765 (0.18689) +2025-08-24,18:31:56 | INFO | Train Epoch: 10 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.20736 (0.17416) Boundary_loss: 0.012800 (0.012852) Loss: 0.22016 (0.18702) +2025-08-24,18:33:01 | INFO | Train Epoch: 10 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.19084 (0.17423) Boundary_loss: 0.012859 (0.012852) Loss: 0.20370 (0.18708) +2025-08-24,18:34:06 | INFO | Train Epoch: 10 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.20389 (0.17434) Boundary_loss: 0.012785 (0.012851) Loss: 0.21668 (0.18719) +2025-08-24,18:35:11 | INFO | Train Epoch: 10 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.17109 (0.17432) Boundary_loss: 0.012804 (0.012851) Loss: 0.18389 (0.18718) +2025-08-24,18:36:16 | INFO | Train Epoch: 10 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.16432 (0.17429) Boundary_loss: 0.012871 (0.012851) Loss: 0.17719 (0.18714) +2025-08-24,18:37:21 | INFO | Train Epoch: 10 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.16400 (0.17425) Boundary_loss: 0.012917 (0.012852) Loss: 0.17691 (0.18710) +2025-08-24,18:38:26 | INFO | Train Epoch: 10 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.17871 (0.17427) Boundary_loss: 0.012800 (0.012851) Loss: 0.19151 (0.18712) +2025-08-24,18:39:31 | INFO | Train Epoch: 10 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.18142 (0.17429) Boundary_loss: 0.012847 (0.012851) Loss: 0.19426 (0.18714) +2025-08-24,18:40:36 | INFO | Train Epoch: 10 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.20701 (0.17441) Boundary_loss: 0.012876 (0.012851) Loss: 0.21988 (0.18726) +2025-08-24,18:41:41 | INFO | Train Epoch: 10 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.16393 (0.17437) Boundary_loss: 0.012863 (0.012851) Loss: 0.17680 (0.18722) +2025-08-24,18:42:46 | INFO | Train Epoch: 10 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.22706 (0.17456) Boundary_loss: 0.012823 (0.012851) Loss: 0.23988 (0.18741) +2025-08-24,18:43:51 | INFO | Train Epoch: 10 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.15460 (0.17449) Boundary_loss: 0.012808 (0.012851) Loss: 0.16741 (0.18734) +2025-08-24,18:44:56 | INFO | Train Epoch: 10 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.17934 (0.17451) Boundary_loss: 0.012735 (0.012851) Loss: 0.19207 (0.18736) +2025-08-24,18:46:01 | INFO | Train Epoch: 10 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.18520 (0.17455) Boundary_loss: 0.012902 (0.012851) Loss: 0.19810 (0.18740) +2025-08-24,18:47:06 | INFO | Train Epoch: 10 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.22737 (0.17473) Boundary_loss: 0.012828 (0.012851) Loss: 0.24020 (0.18759) +2025-08-24,18:48:11 | INFO | Train Epoch: 10 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.11311 (0.17452) Boundary_loss: 0.012836 (0.012851) Loss: 0.12595 (0.18737) +2025-08-24,18:49:16 | INFO | Train Epoch: 10 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.17308 (0.17451) Boundary_loss: 0.012906 (0.012851) Loss: 0.18599 (0.18736) +2025-08-24,18:50:22 | INFO | Train Epoch: 10 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.17566 (0.17452) Boundary_loss: 0.012851 (0.012851) Loss: 0.18851 (0.18737) +2025-08-24,18:51:27 | INFO | Train Epoch: 10 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.15937 (0.17446) Boundary_loss: 0.012870 (0.012851) Loss: 0.17224 (0.18731) +2025-08-24,18:52:32 | INFO | Train Epoch: 10 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.13651 (0.17433) Boundary_loss: 0.012858 (0.012851) Loss: 0.14937 (0.18718) +2025-08-24,18:53:37 | INFO | Train Epoch: 10 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.19671 (0.17441) Boundary_loss: 0.012903 (0.012851) Loss: 0.20962 (0.18726) +2025-08-24,18:54:42 | INFO | Train Epoch: 10 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.602 Boundary Ratio: 0.100 Contrastive_loss: 0.16829 (0.17439) Boundary_loss: 0.012983 (0.012852) Loss: 0.18128 (0.18724) +2025-08-24,18:55:47 | INFO | Train Epoch: 10 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.16766 (0.17436) Boundary_loss: 0.012795 (0.012852) Loss: 0.18046 (0.18721) +2025-08-24,18:56:52 | INFO | Train Epoch: 10 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.19117 (0.17442) Boundary_loss: 0.012936 (0.012852) Loss: 0.20411 (0.18727) +2025-08-24,18:57:57 | INFO | Train Epoch: 10 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.15603 (0.17436) Boundary_loss: 0.012881 (0.012852) Loss: 0.16891 (0.18721) +2025-08-24,18:59:02 | INFO | Train Epoch: 10 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.11736 (0.17416) Boundary_loss: 0.012870 (0.012852) Loss: 0.13023 (0.18701) +2025-08-24,19:00:07 | INFO | Train Epoch: 10 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.21421 (0.17430) Boundary_loss: 0.012855 (0.012852) Loss: 0.22706 (0.18715) +2025-08-24,19:01:12 | INFO | Train Epoch: 10 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.13557 (0.17417) Boundary_loss: 0.012847 (0.012852) Loss: 0.14842 (0.18702) +2025-08-24,19:02:17 | INFO | Train Epoch: 10 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.15203 (0.17409) Boundary_loss: 0.012837 (0.012852) Loss: 0.16487 (0.18694) +2025-08-24,19:03:22 | INFO | Train Epoch: 10 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.13623 (0.17396) Boundary_loss: 0.012783 (0.012852) Loss: 0.14902 (0.18682) +2025-08-24,19:04:28 | INFO | Train Epoch: 10 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.17941 (0.17398) Boundary_loss: 0.012853 (0.012852) Loss: 0.19226 (0.18683) +2025-08-24,19:05:33 | INFO | Train Epoch: 10 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.15773 (0.17393) Boundary_loss: 0.012828 (0.012852) Loss: 0.17056 (0.18678) +2025-08-24,19:06:38 | INFO | Train Epoch: 10 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.18962 (0.17398) Boundary_loss: 0.012918 (0.012852) Loss: 0.20254 (0.18683) +2025-08-24,19:07:43 | INFO | Train Epoch: 10 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.13754 (0.17386) Boundary_loss: 0.012833 (0.012852) Loss: 0.15038 (0.18671) +2025-08-24,19:08:48 | INFO | Train Epoch: 10 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.16498 (0.17383) Boundary_loss: 0.012766 (0.012852) Loss: 0.17775 (0.18668) +2025-08-24,19:09:53 | INFO | Train Epoch: 10 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.14889 (0.17375) Boundary_loss: 0.012870 (0.012852) Loss: 0.16176 (0.18660) +2025-08-24,19:10:58 | INFO | Train Epoch: 10 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.14453 (0.17365) Boundary_loss: 0.012816 (0.012851) Loss: 0.15735 (0.18650) +2025-08-24,19:12:03 | INFO | Train Epoch: 10 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.16326 (0.17362) Boundary_loss: 0.012818 (0.012851) Loss: 0.17608 (0.18647) +2025-08-24,19:13:08 | INFO | Train Epoch: 10 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.12781 (0.17347) Boundary_loss: 0.012802 (0.012851) Loss: 0.14061 (0.18632) +2025-08-24,19:14:13 | INFO | Train Epoch: 10 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.19822 (0.17355) Boundary_loss: 0.012893 (0.012851) Loss: 0.21111 (0.18640) +2025-08-24,19:15:18 | INFO | Train Epoch: 10 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.12745 (0.17340) Boundary_loss: 0.012899 (0.012851) Loss: 0.14035 (0.18625) +2025-08-24,19:16:23 | INFO | Train Epoch: 10 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.22669 (0.17357) Boundary_loss: 0.012900 (0.012852) Loss: 0.23959 (0.18642) +2025-08-24,19:17:28 | INFO | Train Epoch: 10 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.17492 (0.17357) Boundary_loss: 0.012789 (0.012851) Loss: 0.18771 (0.18643) +2025-08-24,19:18:33 | INFO | Train Epoch: 10 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.14293 (0.17348) Boundary_loss: 0.012856 (0.012851) Loss: 0.15578 (0.18633) +2025-08-24,19:19:39 | INFO | Train Epoch: 10 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.15045 (0.17340) Boundary_loss: 0.012829 (0.012851) Loss: 0.16327 (0.18625) +2025-08-24,19:20:44 | INFO | Train Epoch: 10 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.18020 (0.17342) Boundary_loss: 0.012785 (0.012851) Loss: 0.19298 (0.18627) +2025-08-24,19:21:49 | INFO | Train Epoch: 10 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.17457 (0.17343) Boundary_loss: 0.012858 (0.012851) Loss: 0.18743 (0.18628) +2025-08-24,19:22:54 | INFO | Train Epoch: 10 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.14858 (0.17335) Boundary_loss: 0.012893 (0.012851) Loss: 0.16147 (0.18620) +2025-08-24,19:23:59 | INFO | Train Epoch: 10 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.22797 (0.17352) Boundary_loss: 0.012787 (0.012851) Loss: 0.24076 (0.18637) +2025-08-24,19:25:04 | INFO | Train Epoch: 10 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.22666 (0.17369) Boundary_loss: 0.012814 (0.012851) Loss: 0.23947 (0.18654) +2025-08-24,19:26:09 | INFO | Train Epoch: 10 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.17418 (0.17369) Boundary_loss: 0.012860 (0.012851) Loss: 0.18704 (0.18654) +2025-08-24,19:27:14 | INFO | Train Epoch: 10 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.19155 (0.17375) Boundary_loss: 0.012834 (0.012851) Loss: 0.20439 (0.18660) +2025-08-24,19:28:19 | INFO | Train Epoch: 10 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.17398 (0.17375) Boundary_loss: 0.012744 (0.012851) Loss: 0.18673 (0.18660) +2025-08-24,19:29:24 | INFO | Train Epoch: 10 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.13584 (0.17363) Boundary_loss: 0.012771 (0.012850) Loss: 0.14861 (0.18648) +2025-08-24,19:30:29 | INFO | Train Epoch: 10 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.15706 (0.17358) Boundary_loss: 0.012814 (0.012850) Loss: 0.16987 (0.18643) +2025-08-24,19:31:34 | INFO | Train Epoch: 10 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.14472 (0.17349) Boundary_loss: 0.012924 (0.012851) Loss: 0.15765 (0.18634) +2025-08-24,19:32:39 | INFO | Train Epoch: 10 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.16990 (0.17348) Boundary_loss: 0.012834 (0.012850) Loss: 0.18273 (0.18633) +2025-08-24,19:33:45 | INFO | Train Epoch: 10 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.16753 (0.17346) Boundary_loss: 0.012823 (0.012850) Loss: 0.18035 (0.18631) +2025-08-24,19:34:50 | INFO | Train Epoch: 10 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 0.17979 (0.17348) Boundary_loss: 0.012781 (0.012850) Loss: 0.19257 (0.18633) +2025-08-24,19:35:55 | INFO | Train Epoch: 10 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.14475 (0.17339) Boundary_loss: 0.012869 (0.012850) Loss: 0.15762 (0.18624) +2025-08-24,19:37:00 | INFO | Train Epoch: 10 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.20041 (0.17347) Boundary_loss: 0.012840 (0.012850) Loss: 0.21325 (0.18632) +2025-08-24,19:38:05 | INFO | Train Epoch: 10 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.14981 (0.17340) Boundary_loss: 0.012829 (0.012850) Loss: 0.16264 (0.18625) +2025-08-24,19:39:10 | INFO | Train Epoch: 10 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.21029 (0.17351) Boundary_loss: 0.012802 (0.012850) Loss: 0.22309 (0.18636) +2025-08-24,19:40:15 | INFO | Train Epoch: 10 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.17214 (0.17351) Boundary_loss: 0.012768 (0.012850) Loss: 0.18491 (0.18636) +2025-08-24,19:41:20 | INFO | Train Epoch: 10 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.17815 (0.17352) Boundary_loss: 0.012806 (0.012850) Loss: 0.19096 (0.18637) +2025-08-24,19:42:25 | INFO | Train Epoch: 10 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.20917 (0.17363) Boundary_loss: 0.012840 (0.012850) Loss: 0.22201 (0.18648) +2025-08-24,19:43:30 | INFO | Train Epoch: 10 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.15690 (0.17358) Boundary_loss: 0.012850 (0.012850) Loss: 0.16975 (0.18643) +2025-08-24,19:44:35 | INFO | Train Epoch: 10 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.17588 (0.17359) Boundary_loss: 0.012803 (0.012849) Loss: 0.18869 (0.18644) +2025-08-24,19:45:41 | INFO | Train Epoch: 10 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.16315 (0.17356) Boundary_loss: 0.012818 (0.012849) Loss: 0.17596 (0.18640) +2025-08-24,19:46:46 | INFO | Train Epoch: 10 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.14203 (0.17346) Boundary_loss: 0.012808 (0.012849) Loss: 0.15484 (0.18631) +2025-08-24,19:47:51 | INFO | Train Epoch: 10 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.691 Boundary Ratio: 0.100 Contrastive_loss: 0.11948 (0.17330) Boundary_loss: 0.012809 (0.012849) Loss: 0.13229 (0.18615) +2025-08-24,19:48:56 | INFO | Train Epoch: 10 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.16796 (0.17329) Boundary_loss: 0.012928 (0.012849) Loss: 0.18089 (0.18613) +2025-08-24,19:50:01 | INFO | Train Epoch: 10 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.15745 (0.17324) Boundary_loss: 0.012856 (0.012849) Loss: 0.17031 (0.18609) +2025-08-24,19:51:06 | INFO | Train Epoch: 10 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.19723 (0.17331) Boundary_loss: 0.012765 (0.012849) Loss: 0.21000 (0.18616) +2025-08-24,19:52:11 | INFO | Train Epoch: 10 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.18820 (0.17335) Boundary_loss: 0.012840 (0.012849) Loss: 0.20104 (0.18620) +2025-08-24,19:53:16 | INFO | Train Epoch: 10 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.16550 (0.17333) Boundary_loss: 0.012872 (0.012849) Loss: 0.17837 (0.18618) +2025-08-24,19:54:21 | INFO | Train Epoch: 10 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.16015 (0.17329) Boundary_loss: 0.012921 (0.012849) Loss: 0.17307 (0.18614) +2025-08-24,19:55:26 | INFO | Train Epoch: 10 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.23582 (0.17347) Boundary_loss: 0.012871 (0.012849) Loss: 0.24869 (0.18632) +2025-08-24,19:56:31 | INFO | Train Epoch: 10 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.15712 (0.17343) Boundary_loss: 0.012824 (0.012849) Loss: 0.16994 (0.18628) +2025-08-24,19:57:36 | INFO | Train Epoch: 10 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.21118 (0.17354) Boundary_loss: 0.012755 (0.012849) Loss: 0.22393 (0.18638) +2025-08-24,19:58:41 | INFO | Train Epoch: 10 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.21399 (0.17365) Boundary_loss: 0.012832 (0.012849) Loss: 0.22683 (0.18650) +2025-08-24,19:59:46 | INFO | Train Epoch: 10 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.15771 (0.17361) Boundary_loss: 0.012865 (0.012849) Loss: 0.17058 (0.18646) +2025-08-24,20:00:51 | INFO | Train Epoch: 10 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.20309 (0.17369) Boundary_loss: 0.012758 (0.012849) Loss: 0.21584 (0.18654) +2025-08-24,20:01:56 | INFO | Train Epoch: 10 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.19208 (0.17374) Boundary_loss: 0.012810 (0.012849) Loss: 0.20488 (0.18659) +2025-08-24,20:03:01 | INFO | Train Epoch: 10 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.11196 (0.17357) Boundary_loss: 0.012893 (0.012849) Loss: 0.12485 (0.18642) +2025-08-24,20:04:06 | INFO | Train Epoch: 10 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.19031 (0.17361) Boundary_loss: 0.012792 (0.012849) Loss: 0.20310 (0.18646) +2025-08-24,20:05:12 | INFO | Train Epoch: 10 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.14303 (0.17353) Boundary_loss: 0.012792 (0.012848) Loss: 0.15582 (0.18638) +2025-08-24,20:06:17 | INFO | Train Epoch: 10 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.12530 (0.17339) Boundary_loss: 0.012761 (0.012848) Loss: 0.13806 (0.18624) +2025-08-24,20:07:22 | INFO | Train Epoch: 10 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.14642 (0.17332) Boundary_loss: 0.012777 (0.012848) Loss: 0.15919 (0.18616) +2025-08-24,20:08:27 | INFO | Train Epoch: 10 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.15454 (0.17326) Boundary_loss: 0.012823 (0.012848) Loss: 0.16737 (0.18611) +2025-08-24,20:09:32 | INFO | Train Epoch: 10 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.16660 (0.17324) Boundary_loss: 0.012921 (0.012848) Loss: 0.17952 (0.18609) +2025-08-24,20:10:37 | INFO | Train Epoch: 10 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.16502 (0.17322) Boundary_loss: 0.012813 (0.012848) Loss: 0.17783 (0.18607) +2025-08-24,20:11:42 | INFO | Train Epoch: 10 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.14548 (0.17314) Boundary_loss: 0.012749 (0.012848) Loss: 0.15823 (0.18599) +2025-08-24,20:12:47 | INFO | Train Epoch: 10 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.14626 (0.17307) Boundary_loss: 0.012896 (0.012848) Loss: 0.15915 (0.18592) +2025-08-24,20:13:52 | INFO | Train Epoch: 10 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.18974 (0.17312) Boundary_loss: 0.012802 (0.012848) Loss: 0.20254 (0.18596) +2025-08-24,20:14:57 | INFO | Train Epoch: 10 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.15984 (0.17308) Boundary_loss: 0.012773 (0.012848) Loss: 0.17262 (0.18593) +2025-08-24,20:16:02 | INFO | Train Epoch: 10 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.16451 (0.17306) Boundary_loss: 0.012867 (0.012848) Loss: 0.17738 (0.18590) +2025-08-24,20:17:07 | INFO | Train Epoch: 10 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.18169 (0.17308) Boundary_loss: 0.012933 (0.012848) Loss: 0.19462 (0.18593) +2025-08-24,20:18:12 | INFO | Train Epoch: 10 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.18108 (0.17310) Boundary_loss: 0.012811 (0.012848) Loss: 0.19389 (0.18595) +2025-08-24,20:19:17 | INFO | Train Epoch: 10 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.21980 (0.17323) Boundary_loss: 0.012921 (0.012848) Loss: 0.23273 (0.18608) +2025-08-24,20:20:22 | INFO | Train Epoch: 10 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.13526 (0.17313) Boundary_loss: 0.012751 (0.012848) Loss: 0.14801 (0.18597) +2025-08-24,20:21:27 | INFO | Train Epoch: 10 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.16606 (0.17311) Boundary_loss: 0.012801 (0.012848) Loss: 0.17886 (0.18595) +2025-08-24,20:22:32 | INFO | Train Epoch: 10 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.13398 (0.17300) Boundary_loss: 0.012807 (0.012847) Loss: 0.14678 (0.18585) +2025-08-24,20:23:37 | INFO | Train Epoch: 10 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.16699 (0.17298) Boundary_loss: 0.012786 (0.012847) Loss: 0.17978 (0.18583) +2025-08-24,20:24:43 | INFO | Train Epoch: 10 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.099842 (0.17279) Boundary_loss: 0.012907 (0.012847) Loss: 0.11275 (0.18563) +2025-08-24,20:25:48 | INFO | Train Epoch: 10 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.21913 (0.17291) Boundary_loss: 0.012849 (0.012847) Loss: 0.23197 (0.18576) +2025-08-24,20:26:53 | INFO | Train Epoch: 10 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.22731 (0.17306) Boundary_loss: 0.012845 (0.012847) Loss: 0.24015 (0.18590) +2025-08-24,20:27:58 | INFO | Train Epoch: 10 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.15550 (0.17301) Boundary_loss: 0.012872 (0.012848) Loss: 0.16837 (0.18586) +2025-08-24,20:29:03 | INFO | Train Epoch: 10 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.17167 (0.17301) Boundary_loss: 0.012850 (0.012848) Loss: 0.18452 (0.18585) +2025-08-24,20:30:08 | INFO | Train Epoch: 10 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.18149 (0.17303) Boundary_loss: 0.012909 (0.012848) Loss: 0.19440 (0.18588) +2025-08-24,20:31:13 | INFO | Train Epoch: 10 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.18381 (0.17306) Boundary_loss: 0.012830 (0.012848) Loss: 0.19664 (0.18591) +2025-08-24,20:32:18 | INFO | Train Epoch: 10 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.13773 (0.17296) Boundary_loss: 0.012800 (0.012848) Loss: 0.15053 (0.18581) +2025-08-24,20:33:23 | INFO | Train Epoch: 10 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.17139 (0.17296) Boundary_loss: 0.012868 (0.012848) Loss: 0.18426 (0.18581) +2025-08-24,20:34:28 | INFO | Train Epoch: 10 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.21816 (0.17308) Boundary_loss: 0.012782 (0.012847) Loss: 0.23095 (0.18593) +2025-08-24,20:35:33 | INFO | Train Epoch: 10 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.21457 (0.17319) Boundary_loss: 0.012834 (0.012847) Loss: 0.22740 (0.18604) +2025-08-24,20:36:38 | INFO | Train Epoch: 10 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.15585 (0.17314) Boundary_loss: 0.012799 (0.012847) Loss: 0.16865 (0.18599) +2025-08-24,20:37:43 | INFO | Train Epoch: 10 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.18592 (0.17318) Boundary_loss: 0.012924 (0.012847) Loss: 0.19884 (0.18602) +2025-08-24,20:38:48 | INFO | Train Epoch: 10 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.17138 (0.17317) Boundary_loss: 0.012772 (0.012847) Loss: 0.18415 (0.18602) +2025-08-24,20:39:53 | INFO | Train Epoch: 10 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.13026 (0.17306) Boundary_loss: 0.012802 (0.012847) Loss: 0.14306 (0.18591) +2025-08-24,20:40:58 | INFO | Train Epoch: 10 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.11824 (0.17292) Boundary_loss: 0.012813 (0.012847) Loss: 0.13105 (0.18576) +2025-08-24,20:42:03 | INFO | Train Epoch: 10 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.12082 (0.17278) Boundary_loss: 0.012816 (0.012847) Loss: 0.13363 (0.18563) +2025-08-24,20:43:08 | INFO | Train Epoch: 10 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.18046 (0.17280) Boundary_loss: 0.012833 (0.012847) Loss: 0.19329 (0.18565) +2025-08-24,20:44:13 | INFO | Train Epoch: 10 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.19041 (0.17285) Boundary_loss: 0.012833 (0.012847) Loss: 0.20324 (0.18569) +2025-08-24,20:45:18 | INFO | Train Epoch: 10 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.16541 (0.17283) Boundary_loss: 0.012819 (0.012847) Loss: 0.17823 (0.18568) +2025-08-24,20:46:23 | INFO | Train Epoch: 10 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.14134 (0.17275) Boundary_loss: 0.012936 (0.012847) Loss: 0.15427 (0.18560) +2025-08-24,20:47:28 | INFO | Train Epoch: 10 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.13798 (0.17266) Boundary_loss: 0.012802 (0.012847) Loss: 0.15078 (0.18551) +2025-08-24,20:48:33 | INFO | Train Epoch: 10 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.18938 (0.17270) Boundary_loss: 0.012913 (0.012847) Loss: 0.20229 (0.18555) +2025-08-24,20:49:38 | INFO | Train Epoch: 10 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.19511 (0.17276) Boundary_loss: 0.012991 (0.012847) Loss: 0.20810 (0.18561) +2025-08-24,20:50:43 | INFO | Train Epoch: 10 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.13218 (0.17266) Boundary_loss: 0.012888 (0.012848) Loss: 0.14507 (0.18550) +2025-08-24,20:51:48 | INFO | Train Epoch: 10 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.17264 (0.17266) Boundary_loss: 0.012881 (0.012848) Loss: 0.18553 (0.18550) +2025-08-24,20:52:53 | INFO | Train Epoch: 10 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.18137 (0.17268) Boundary_loss: 0.012821 (0.012848) Loss: 0.19420 (0.18553) +2025-08-24,20:53:58 | INFO | Train Epoch: 10 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.16684 (0.17266) Boundary_loss: 0.012892 (0.012848) Loss: 0.17973 (0.18551) +2025-08-24,20:55:03 | INFO | Train Epoch: 10 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.13308 (0.17256) Boundary_loss: 0.012811 (0.012848) Loss: 0.14589 (0.18541) +2025-08-24,20:56:08 | INFO | Train Epoch: 10 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.15592 (0.17252) Boundary_loss: 0.012831 (0.012848) Loss: 0.16875 (0.18537) +2025-08-24,20:57:13 | INFO | Train Epoch: 10 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.21035 (0.17262) Boundary_loss: 0.012804 (0.012847) Loss: 0.22315 (0.18546) +2025-08-24,20:58:18 | INFO | Train Epoch: 10 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.14976 (0.17256) Boundary_loss: 0.012950 (0.012848) Loss: 0.16271 (0.18541) +2025-08-24,20:59:23 | INFO | Train Epoch: 10 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.14987 (0.17250) Boundary_loss: 0.012779 (0.012848) Loss: 0.16265 (0.18535) +2025-08-24,21:00:28 | INFO | Train Epoch: 10 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.17195 (0.17250) Boundary_loss: 0.012818 (0.012847) Loss: 0.18477 (0.18535) +2025-08-24,21:01:33 | INFO | Train Epoch: 10 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.17487 (0.17251) Boundary_loss: 0.012861 (0.012848) Loss: 0.18773 (0.18536) +2025-08-24,21:02:38 | INFO | Train Epoch: 10 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.17672 (0.17252) Boundary_loss: 0.012887 (0.012848) Loss: 0.18961 (0.18537) +2025-08-24,21:03:43 | INFO | Train Epoch: 10 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.19689 (0.17258) Boundary_loss: 0.012896 (0.012848) Loss: 0.20979 (0.18543) +2025-08-24,21:04:48 | INFO | Train Epoch: 10 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.14694 (0.17252) Boundary_loss: 0.012902 (0.012848) Loss: 0.15984 (0.18536) +2025-08-24,21:05:53 | INFO | Train Epoch: 10 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.13935 (0.17243) Boundary_loss: 0.012833 (0.012848) Loss: 0.15218 (0.18528) +2025-08-24,21:06:58 | INFO | Train Epoch: 10 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.20949 (0.17253) Boundary_loss: 0.012859 (0.012848) Loss: 0.22235 (0.18537) +2025-08-24,21:08:03 | INFO | Train Epoch: 10 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.13673 (0.17244) Boundary_loss: 0.012909 (0.012848) Loss: 0.14964 (0.18529) +2025-08-24,21:09:09 | INFO | Train Epoch: 10 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.16589 (0.17242) Boundary_loss: 0.012827 (0.012848) Loss: 0.17872 (0.18527) +2025-08-24,21:10:14 | INFO | Train Epoch: 10 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.14752 (0.17236) Boundary_loss: 0.012794 (0.012848) Loss: 0.16032 (0.18521) +2025-08-24,21:11:19 | INFO | Train Epoch: 10 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.15650 (0.17232) Boundary_loss: 0.012834 (0.012848) Loss: 0.16933 (0.18517) +2025-08-24,21:12:24 | INFO | Train Epoch: 10 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.17798 (0.17234) Boundary_loss: 0.012814 (0.012848) Loss: 0.19079 (0.18518) +2025-08-24,21:13:29 | INFO | Train Epoch: 10 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.18841 (0.17238) Boundary_loss: 0.012838 (0.012848) Loss: 0.20125 (0.18522) +2025-08-24,21:14:34 | INFO | Train Epoch: 10 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.17468 (0.17238) Boundary_loss: 0.012849 (0.012848) Loss: 0.18752 (0.18523) +2025-08-24,21:15:39 | INFO | Train Epoch: 10 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.21270 (0.17248) Boundary_loss: 0.012721 (0.012847) Loss: 0.22542 (0.18533) +2025-08-24,21:16:44 | INFO | Train Epoch: 10 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.15967 (0.17245) Boundary_loss: 0.012861 (0.012847) Loss: 0.17253 (0.18529) +2025-08-24,21:17:49 | INFO | Train Epoch: 10 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.13903 (0.17237) Boundary_loss: 0.012809 (0.012847) Loss: 0.15184 (0.18521) +2025-08-24,21:18:54 | INFO | Train Epoch: 10 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.22998 (0.17250) Boundary_loss: 0.012841 (0.012847) Loss: 0.24282 (0.18535) +2025-08-24,21:19:59 | INFO | Train Epoch: 10 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.15853 (0.17247) Boundary_loss: 0.012860 (0.012847) Loss: 0.17139 (0.18532) +2025-08-24,21:21:04 | INFO | Train Epoch: 10 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.22132 (0.17259) Boundary_loss: 0.012796 (0.012847) Loss: 0.23411 (0.18543) +2025-08-24,21:22:09 | INFO | Train Epoch: 10 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.18352 (0.17261) Boundary_loss: 0.012853 (0.012847) Loss: 0.19637 (0.18546) +2025-08-24,21:23:14 | INFO | Train Epoch: 10 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.12618 (0.17250) Boundary_loss: 0.012782 (0.012847) Loss: 0.13896 (0.18535) +2025-08-24,21:24:19 | INFO | Train Epoch: 10 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.17442 (0.17251) Boundary_loss: 0.012900 (0.012847) Loss: 0.18732 (0.18536) +2025-08-24,21:25:24 | INFO | Train Epoch: 10 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.18159 (0.17253) Boundary_loss: 0.012916 (0.012847) Loss: 0.19451 (0.18538) +2025-08-24,21:26:29 | INFO | Train Epoch: 10 [21862912/26365952 (83%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 0.18817 (0.17257) Boundary_loss: 0.012931 (0.012848) Loss: 0.20110 (0.18541) +2025-08-24,21:27:34 | INFO | Train Epoch: 10 [21914112/26365952 (83%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 0.19434 (0.17262) Boundary_loss: 0.012820 (0.012847) Loss: 0.20716 (0.18546) +2025-08-24,21:28:39 | INFO | Train Epoch: 10 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.17913 (0.17263) Boundary_loss: 0.012954 (0.012848) Loss: 0.19208 (0.18548) +2025-08-24,21:29:44 | INFO | Train Epoch: 10 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.16369 (0.17261) Boundary_loss: 0.012943 (0.012848) Loss: 0.17663 (0.18546) +2025-08-24,21:30:49 | INFO | Train Epoch: 10 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.20560 (0.17269) Boundary_loss: 0.012865 (0.012848) Loss: 0.21847 (0.18554) +2025-08-24,21:31:54 | INFO | Train Epoch: 10 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.19702 (0.17274) Boundary_loss: 0.012874 (0.012848) Loss: 0.20990 (0.18559) +2025-08-24,21:32:59 | INFO | Train Epoch: 10 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 0.18973 (0.17278) Boundary_loss: 0.012926 (0.012848) Loss: 0.20266 (0.18563) +2025-08-24,21:34:04 | INFO | Train Epoch: 10 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.14911 (0.17273) Boundary_loss: 0.012916 (0.012848) Loss: 0.16203 (0.18558) +2025-08-24,21:35:10 | INFO | Train Epoch: 10 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.14722 (0.17267) Boundary_loss: 0.012842 (0.012848) Loss: 0.16006 (0.18552) +2025-08-24,21:36:15 | INFO | Train Epoch: 10 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.18882 (0.17271) Boundary_loss: 0.012833 (0.012848) Loss: 0.20166 (0.18555) +2025-08-24,21:37:20 | INFO | Train Epoch: 10 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.17023 (0.17270) Boundary_loss: 0.012773 (0.012848) Loss: 0.18300 (0.18555) +2025-08-24,21:38:25 | INFO | Train Epoch: 10 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.14482 (0.17264) Boundary_loss: 0.012956 (0.012848) Loss: 0.15777 (0.18549) +2025-08-24,21:39:30 | INFO | Train Epoch: 10 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.22880 (0.17277) Boundary_loss: 0.012910 (0.012849) Loss: 0.24171 (0.18561) +2025-08-24,21:40:35 | INFO | Train Epoch: 10 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.15768 (0.17273) Boundary_loss: 0.012786 (0.012848) Loss: 0.17047 (0.18558) +2025-08-24,21:41:40 | INFO | Train Epoch: 10 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.25261 (0.17291) Boundary_loss: 0.012858 (0.012848) Loss: 0.26547 (0.18576) +2025-08-24,21:42:45 | INFO | Train Epoch: 10 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.17712 (0.17292) Boundary_loss: 0.012897 (0.012849) Loss: 0.19002 (0.18577) +2025-08-24,21:43:50 | INFO | Train Epoch: 10 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.19436 (0.17297) Boundary_loss: 0.012841 (0.012849) Loss: 0.20720 (0.18582) +2025-08-24,21:44:55 | INFO | Train Epoch: 10 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.18395 (0.17299) Boundary_loss: 0.012732 (0.012848) Loss: 0.19668 (0.18584) +2025-08-24,21:46:00 | INFO | Train Epoch: 10 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.15405 (0.17295) Boundary_loss: 0.012792 (0.012848) Loss: 0.16684 (0.18580) +2025-08-24,21:47:05 | INFO | Train Epoch: 10 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.13842 (0.17287) Boundary_loss: 0.012867 (0.012848) Loss: 0.15128 (0.18572) +2025-08-24,21:48:10 | INFO | Train Epoch: 10 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.17076 (0.17287) Boundary_loss: 0.012772 (0.012848) Loss: 0.18353 (0.18572) +2025-08-24,21:49:15 | INFO | Train Epoch: 10 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.711 Boundary Ratio: 0.101 Contrastive_loss: 0.15507 (0.17283) Boundary_loss: 0.012806 (0.012848) Loss: 0.16788 (0.18568) +2025-08-24,21:50:20 | INFO | Train Epoch: 10 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.16663 (0.17282) Boundary_loss: 0.012825 (0.012848) Loss: 0.17946 (0.18566) +2025-08-24,21:51:25 | INFO | Train Epoch: 10 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.16383 (0.17280) Boundary_loss: 0.012844 (0.012848) Loss: 0.17668 (0.18564) +2025-08-24,21:52:30 | INFO | Train Epoch: 10 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.18867 (0.17283) Boundary_loss: 0.012830 (0.012848) Loss: 0.20150 (0.18568) +2025-08-24,21:53:36 | INFO | Train Epoch: 10 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.18277 (0.17285) Boundary_loss: 0.012815 (0.012848) Loss: 0.19559 (0.18570) +2025-08-24,21:54:41 | INFO | Train Epoch: 10 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.14624 (0.17279) Boundary_loss: 0.012862 (0.012848) Loss: 0.15910 (0.18564) +2025-08-24,21:55:45 | INFO | Train Epoch: 10 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.18171 (0.17281) Boundary_loss: 0.012828 (0.012848) Loss: 0.19454 (0.18566) +2025-08-24,21:56:51 | INFO | Train Epoch: 10 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.14000 (0.17274) Boundary_loss: 0.012813 (0.012848) Loss: 0.15282 (0.18559) +2025-08-24,21:57:56 | INFO | Train Epoch: 10 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.22607 (0.17286) Boundary_loss: 0.012822 (0.012848) Loss: 0.23889 (0.18571) +2025-08-24,21:59:01 | INFO | Train Epoch: 10 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.16375 (0.17284) Boundary_loss: 0.012883 (0.012848) Loss: 0.17664 (0.18569) +2025-08-24,22:00:06 | INFO | Train Epoch: 10 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.18492 (0.17287) Boundary_loss: 0.012904 (0.012848) Loss: 0.19782 (0.18571) +2025-08-24,22:01:11 | INFO | Train Epoch: 10 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.15323 (0.17282) Boundary_loss: 0.012889 (0.012848) Loss: 0.16612 (0.18567) +2025-08-24,22:02:16 | INFO | Train Epoch: 10 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.16691 (0.17281) Boundary_loss: 0.012878 (0.012848) Loss: 0.17979 (0.18566) +2025-08-24,22:03:21 | INFO | Train Epoch: 10 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.16059 (0.17278) Boundary_loss: 0.012806 (0.012848) Loss: 0.17340 (0.18563) +2025-08-24,22:04:26 | INFO | Train Epoch: 10 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.19655 (0.17283) Boundary_loss: 0.012844 (0.012848) Loss: 0.20940 (0.18568) +2025-08-24,22:05:31 | INFO | Train Epoch: 10 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.19967 (0.17289) Boundary_loss: 0.012879 (0.012848) Loss: 0.21255 (0.18574) +2025-08-24,22:06:36 | INFO | Train Epoch: 10 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.12010 (0.17278) Boundary_loss: 0.012867 (0.012848) Loss: 0.13297 (0.18563) +2025-08-24,22:07:41 | INFO | Train Epoch: 10 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.16502 (0.17276) Boundary_loss: 0.012806 (0.012848) Loss: 0.17782 (0.18561) +2025-08-24,22:08:46 | INFO | Train Epoch: 10 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.13737 (0.17269) Boundary_loss: 0.012772 (0.012848) Loss: 0.15014 (0.18553) +2025-08-24,22:09:51 | INFO | Train Epoch: 10 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.15861 (0.17266) Boundary_loss: 0.012818 (0.012848) Loss: 0.17143 (0.18550) +2025-08-24,22:10:56 | INFO | Train Epoch: 10 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.23606 (0.17279) Boundary_loss: 0.012764 (0.012847) Loss: 0.24882 (0.18564) +2025-08-24,22:12:01 | INFO | Train Epoch: 10 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.18279 (0.17281) Boundary_loss: 0.012838 (0.012847) Loss: 0.19563 (0.18566) +2025-08-24,22:13:06 | INFO | Train Epoch: 10 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.16592 (0.17280) Boundary_loss: 0.012917 (0.012848) Loss: 0.17884 (0.18565) +2025-08-24,22:14:11 | INFO | Train Epoch: 10 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.14785 (0.17275) Boundary_loss: 0.012790 (0.012847) Loss: 0.16064 (0.18559) +2025-08-24,22:15:16 | INFO | Train Epoch: 10 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.15599 (0.17271) Boundary_loss: 0.012838 (0.012847) Loss: 0.16883 (0.18556) +2025-08-24,22:16:21 | INFO | Train Epoch: 10 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.18074 (0.17273) Boundary_loss: 0.012787 (0.012847) Loss: 0.19352 (0.18557) +2025-08-24,22:17:27 | INFO | Train Epoch: 10 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.13735 (0.17265) Boundary_loss: 0.012862 (0.012847) Loss: 0.15021 (0.18550) +2025-08-24,22:18:32 | INFO | Train Epoch: 10 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.13644 (0.17258) Boundary_loss: 0.012926 (0.012848) Loss: 0.14937 (0.18542) +2025-08-24,22:19:37 | INFO | Train Epoch: 10 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.21231 (0.17266) Boundary_loss: 0.012840 (0.012848) Loss: 0.22515 (0.18551) +2025-08-24,22:20:42 | INFO | Train Epoch: 10 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.18552 (0.17269) Boundary_loss: 0.012817 (0.012847) Loss: 0.19833 (0.18553) +2025-08-24,22:21:47 | INFO | Train Epoch: 10 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.18543 (0.17271) Boundary_loss: 0.012836 (0.012847) Loss: 0.19826 (0.18556) +2025-08-24,22:22:52 | INFO | Train Epoch: 10 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.19640 (0.17276) Boundary_loss: 0.012815 (0.012847) Loss: 0.20922 (0.18561) +2025-08-24,22:23:57 | INFO | Train Epoch: 10 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.18156 (0.17278) Boundary_loss: 0.012861 (0.012847) Loss: 0.19442 (0.18563) +2025-08-24,22:25:02 | INFO | Train Epoch: 10 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.15813 (0.17275) Boundary_loss: 0.012815 (0.012847) Loss: 0.17095 (0.18560) +2025-08-24,22:26:07 | INFO | Train Epoch: 10 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.16272 (0.17273) Boundary_loss: 0.012795 (0.012847) Loss: 0.17552 (0.18558) +2025-08-24,22:27:12 | INFO | Train Epoch: 10 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.18029 (0.17275) Boundary_loss: 0.012807 (0.012847) Loss: 0.19309 (0.18559) +2025-08-24,22:28:17 | INFO | Train Epoch: 10 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.20106 (0.17280) Boundary_loss: 0.012824 (0.012847) Loss: 0.21389 (0.18565) +2025-08-24,22:29:22 | INFO | Train Epoch: 10 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.19336 (0.17285) Boundary_loss: 0.012839 (0.012847) Loss: 0.20620 (0.18569) +2025-08-24,22:30:27 | INFO | Train Epoch: 10 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.14332 (0.17279) Boundary_loss: 0.012850 (0.012847) Loss: 0.15617 (0.18563) +2025-08-24,22:31:32 | INFO | Train Epoch: 10 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.17588 (0.17279) Boundary_loss: 0.012805 (0.012847) Loss: 0.18869 (0.18564) +2025-08-24,22:32:37 | INFO | Train Epoch: 10 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.17744 (0.17280) Boundary_loss: 0.012822 (0.012847) Loss: 0.19026 (0.18565) +2025-08-24,22:33:42 | INFO | Train Epoch: 10 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.18397 (0.17282) Boundary_loss: 0.012871 (0.012847) Loss: 0.19684 (0.18567) +2025-08-24,22:34:47 | INFO | Train Epoch: 10 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.11543 (0.17271) Boundary_loss: 0.012968 (0.012847) Loss: 0.12840 (0.18555) +2025-08-24,22:35:52 | INFO | Train Epoch: 10 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.14362 (0.17265) Boundary_loss: 0.012793 (0.012847) Loss: 0.15642 (0.18550) +2025-08-24,22:36:57 | INFO | Train Epoch: 10 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.11176 (0.17252) Boundary_loss: 0.012844 (0.012847) Loss: 0.12460 (0.18537) +2025-08-24,22:38:02 | INFO | Train Epoch: 10 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.14242 (0.17246) Boundary_loss: 0.012880 (0.012847) Loss: 0.15530 (0.18531) +2025-08-24,22:39:07 | INFO | Train Epoch: 10 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.15698 (0.17243) Boundary_loss: 0.012869 (0.012847) Loss: 0.16985 (0.18528) +2025-08-24,22:40:12 | INFO | Train Epoch: 10 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.17169 (0.17243) Boundary_loss: 0.012900 (0.012847) Loss: 0.18459 (0.18528) +2025-08-24,22:41:17 | INFO | Train Epoch: 10 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.14817 (0.17238) Boundary_loss: 0.012778 (0.012847) Loss: 0.16095 (0.18523) +2025-08-24,22:42:23 | INFO | Train Epoch: 10 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.17348 (0.17238) Boundary_loss: 0.012743 (0.012847) Loss: 0.18622 (0.18523) +2025-08-24,22:43:28 | INFO | Train Epoch: 10 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.17809 (0.17240) Boundary_loss: 0.012901 (0.012847) Loss: 0.19100 (0.18524) +2025-08-24,22:44:33 | INFO | Train Epoch: 10 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.15299 (0.17236) Boundary_loss: 0.012916 (0.012847) Loss: 0.16590 (0.18520) +2025-08-24,22:45:38 | INFO | Train Epoch: 10 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.18275 (0.17238) Boundary_loss: 0.012822 (0.012847) Loss: 0.19557 (0.18522) +2025-08-24,22:46:43 | INFO | Train Epoch: 10 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.14499 (0.17232) Boundary_loss: 0.012833 (0.012847) Loss: 0.15783 (0.18517) +2025-08-24,22:47:48 | INFO | Train Epoch: 10 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.13064 (0.17224) Boundary_loss: 0.012792 (0.012847) Loss: 0.14343 (0.18509) +2025-08-24,22:48:53 | INFO | Train Epoch: 10 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.16234 (0.17222) Boundary_loss: 0.012811 (0.012847) Loss: 0.17515 (0.18507) +2025-08-24,22:49:58 | INFO | Train Epoch: 10 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.14553 (0.17217) Boundary_loss: 0.012729 (0.012847) Loss: 0.15825 (0.18501) +2025-08-24,22:51:03 | INFO | Train Epoch: 10 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.15856 (0.17214) Boundary_loss: 0.012750 (0.012847) Loss: 0.17131 (0.18499) +2025-08-24,22:52:08 | INFO | Train Epoch: 10 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.17040 (0.17214) Boundary_loss: 0.012807 (0.012846) Loss: 0.18321 (0.18498) +2025-08-24,22:53:13 | INFO | Train Epoch: 10 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.13865 (0.17207) Boundary_loss: 0.012833 (0.012846) Loss: 0.15148 (0.18492) +2025-08-24,22:54:18 | INFO | Train Epoch: 10 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.20865 (0.17214) Boundary_loss: 0.012783 (0.012846) Loss: 0.22144 (0.18499) +2025-08-24,22:55:23 | INFO | Train Epoch: 10 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.24992 (0.17230) Boundary_loss: 0.012856 (0.012846) Loss: 0.26278 (0.18514) +2025-08-24,22:56:28 | INFO | Train Epoch: 10 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.19943 (0.17235) Boundary_loss: 0.012838 (0.012846) Loss: 0.21227 (0.18520) +2025-08-24,22:57:33 | INFO | Train Epoch: 10 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.19108 (0.17239) Boundary_loss: 0.012896 (0.012846) Loss: 0.20398 (0.18523) +2025-08-24,22:58:38 | INFO | Train Epoch: 10 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.10963 (0.17226) Boundary_loss: 0.012880 (0.012846) Loss: 0.12251 (0.18511) +2025-08-24,22:59:43 | INFO | Train Epoch: 10 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.14226 (0.17220) Boundary_loss: 0.012795 (0.012846) Loss: 0.15505 (0.18505) +2025-08-24,23:00:48 | INFO | Train Epoch: 10 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.16291 (0.17219) Boundary_loss: 0.012848 (0.012846) Loss: 0.17576 (0.18503) +2025-08-24,23:01:50 | INFO | Train Epoch: 10 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.13877 (0.17212) Boundary_loss: 0.012891 (0.012846) Loss: 0.15166 (0.18497) +2025-08-24,23:01:50 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-24,23:01:50 | INFO | [Epoch 10] Average Step Time: 0.653s | Average GPU Memory: 37.3 GB +2025-08-24,23:01:50 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-24,23:01:50 | INFO | Starting zero-shot imagenet. +2025-08-24,23:01:50 | INFO | Building zero-shot classifier +2025-08-24,23:01:59 | INFO | Using classifier +2025-08-24,23:02:52 | INFO | Finished zero-shot imagenet. +2025-08-24,23:02:52 | INFO | Eval Epoch: 11 imagenet-zeroshot-val-top1: 0.3057 imagenet-zeroshot-val-top5: 0.5796 +2025-08-24,23:02:53 | INFO | Start epoch 11 +2025-08-24,23:02:56 | INFO | Train Epoch: 11 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.10269 (0.10269) Boundary_loss: 0.012822 (0.012822) Loss: 0.11551 (0.11551) +2025-08-24,23:04:00 | INFO | Train Epoch: 11 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.11726 (0.10997) Boundary_loss: 0.012862 (0.012842) Loss: 0.13012 (0.12282) +2025-08-24,23:05:05 | INFO | Train Epoch: 11 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.12927 (0.11641) Boundary_loss: 0.012792 (0.012825) Loss: 0.14206 (0.12923) +2025-08-24,23:06:10 | INFO | Train Epoch: 11 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.16311 (0.12808) Boundary_loss: 0.012815 (0.012823) Loss: 0.17593 (0.14091) +2025-08-24,23:07:15 | INFO | Train Epoch: 11 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.13699 (0.12986) Boundary_loss: 0.012867 (0.012832) Loss: 0.14986 (0.14270) +2025-08-24,23:08:19 | INFO | Train Epoch: 11 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.12812 (0.12957) Boundary_loss: 0.012809 (0.012828) Loss: 0.14093 (0.14240) +2025-08-24,23:09:24 | INFO | Train Epoch: 11 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.14980 (0.13246) Boundary_loss: 0.012794 (0.012823) Loss: 0.16259 (0.14529) +2025-08-24,23:10:29 | INFO | Train Epoch: 11 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.10638 (0.12920) Boundary_loss: 0.012801 (0.012820) Loss: 0.11918 (0.14202) +2025-08-24,23:11:34 | INFO | Train Epoch: 11 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.13105 (0.12941) Boundary_loss: 0.012766 (0.012814) Loss: 0.14381 (0.14222) +2025-08-24,23:12:38 | INFO | Train Epoch: 11 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.16708 (0.13318) Boundary_loss: 0.012768 (0.012810) Loss: 0.17985 (0.14598) +2025-08-24,23:13:43 | INFO | Train Epoch: 11 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.13130 (0.13300) Boundary_loss: 0.012745 (0.012804) Loss: 0.14404 (0.14581) +2025-08-24,23:14:48 | INFO | Train Epoch: 11 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.551 Boundary Ratio: 0.100 Contrastive_loss: 0.11995 (0.13192) Boundary_loss: 0.012854 (0.012808) Loss: 0.13281 (0.14472) +2025-08-24,23:15:53 | INFO | Train Epoch: 11 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.15052 (0.13335) Boundary_loss: 0.012768 (0.012805) Loss: 0.16328 (0.14615) +2025-08-24,23:16:57 | INFO | Train Epoch: 11 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.14919 (0.13448) Boundary_loss: 0.012758 (0.012802) Loss: 0.16195 (0.14728) +2025-08-24,23:18:02 | INFO | Train Epoch: 11 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.12596 (0.13391) Boundary_loss: 0.012823 (0.012803) Loss: 0.13879 (0.14671) +2025-08-24,23:19:07 | INFO | Train Epoch: 11 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.18805 (0.13730) Boundary_loss: 0.012817 (0.012804) Loss: 0.20087 (0.15010) +2025-08-24,23:20:12 | INFO | Train Epoch: 11 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.14148 (0.13754) Boundary_loss: 0.012858 (0.012807) Loss: 0.15434 (0.15035) +2025-08-24,23:21:16 | INFO | Train Epoch: 11 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.16236 (0.13892) Boundary_loss: 0.012821 (0.012808) Loss: 0.17518 (0.15173) +2025-08-24,23:22:21 | INFO | Train Epoch: 11 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.14144 (0.13905) Boundary_loss: 0.012916 (0.012814) Loss: 0.15436 (0.15187) +2025-08-24,23:23:26 | INFO | Train Epoch: 11 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.13987 (0.13909) Boundary_loss: 0.012874 (0.012817) Loss: 0.15275 (0.15191) +2025-08-24,23:24:31 | INFO | Train Epoch: 11 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.15586 (0.13989) Boundary_loss: 0.012825 (0.012817) Loss: 0.16868 (0.15271) +2025-08-24,23:25:35 | INFO | Train Epoch: 11 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.11754 (0.13888) Boundary_loss: 0.012795 (0.012816) Loss: 0.13033 (0.15169) +2025-08-24,23:26:40 | INFO | Train Epoch: 11 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.16529 (0.14002) Boundary_loss: 0.012806 (0.012816) Loss: 0.17809 (0.15284) +2025-08-24,23:27:45 | INFO | Train Epoch: 11 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.19312 (0.14224) Boundary_loss: 0.012858 (0.012817) Loss: 0.20598 (0.15505) +2025-08-24,23:28:50 | INFO | Train Epoch: 11 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.14871 (0.14250) Boundary_loss: 0.012849 (0.012819) Loss: 0.16156 (0.15531) +2025-08-24,23:29:55 | INFO | Train Epoch: 11 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.15389 (0.14293) Boundary_loss: 0.012795 (0.012818) Loss: 0.16668 (0.15575) +2025-08-24,23:30:59 | INFO | Train Epoch: 11 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.15932 (0.14354) Boundary_loss: 0.012838 (0.012818) Loss: 0.17216 (0.15636) +2025-08-24,23:32:04 | INFO | Train Epoch: 11 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.13594 (0.14327) Boundary_loss: 0.012841 (0.012819) Loss: 0.14878 (0.15609) +2025-08-24,23:33:09 | INFO | Train Epoch: 11 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.12588 (0.14267) Boundary_loss: 0.012872 (0.012821) Loss: 0.13875 (0.15549) +2025-08-24,23:34:14 | INFO | Train Epoch: 11 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.14068 (0.14260) Boundary_loss: 0.012763 (0.012819) Loss: 0.15344 (0.15542) +2025-08-24,23:35:19 | INFO | Train Epoch: 11 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.13860 (0.14247) Boundary_loss: 0.012866 (0.012821) Loss: 0.15147 (0.15529) +2025-08-24,23:36:23 | INFO | Train Epoch: 11 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.16681 (0.14323) Boundary_loss: 0.012834 (0.012821) Loss: 0.17964 (0.15606) +2025-08-24,23:37:28 | INFO | Train Epoch: 11 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.17460 (0.14418) Boundary_loss: 0.012813 (0.012821) Loss: 0.18741 (0.15701) +2025-08-24,23:38:33 | INFO | Train Epoch: 11 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.15512 (0.14451) Boundary_loss: 0.012776 (0.012819) Loss: 0.16789 (0.15733) +2025-08-24,23:39:38 | INFO | Train Epoch: 11 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.13079 (0.14411) Boundary_loss: 0.012794 (0.012819) Loss: 0.14358 (0.15693) +2025-08-24,23:40:43 | INFO | Train Epoch: 11 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.11812 (0.14339) Boundary_loss: 0.012838 (0.012819) Loss: 0.13096 (0.15621) +2025-08-24,23:41:48 | INFO | Train Epoch: 11 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.15500 (0.14371) Boundary_loss: 0.012903 (0.012822) Loss: 0.16790 (0.15653) +2025-08-24,23:42:52 | INFO | Train Epoch: 11 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.12210 (0.14314) Boundary_loss: 0.012796 (0.012821) Loss: 0.13490 (0.15596) +2025-08-24,23:43:57 | INFO | Train Epoch: 11 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.13425 (0.14291) Boundary_loss: 0.012821 (0.012821) Loss: 0.14707 (0.15573) +2025-08-24,23:45:02 | INFO | Train Epoch: 11 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.15179 (0.14313) Boundary_loss: 0.012858 (0.012822) Loss: 0.16465 (0.15595) +2025-08-24,23:46:07 | INFO | Train Epoch: 11 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.13932 (0.14304) Boundary_loss: 0.012942 (0.012825) Loss: 0.15226 (0.15586) +2025-08-24,23:47:12 | INFO | Train Epoch: 11 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.098147 (0.14197) Boundary_loss: 0.012823 (0.012825) Loss: 0.11097 (0.15479) +2025-08-24,23:48:17 | INFO | Train Epoch: 11 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.14026 (0.14193) Boundary_loss: 0.012826 (0.012825) Loss: 0.15309 (0.15475) +2025-08-24,23:49:22 | INFO | Train Epoch: 11 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.13449 (0.14176) Boundary_loss: 0.012756 (0.012823) Loss: 0.14725 (0.15458) +2025-08-24,23:50:26 | INFO | Train Epoch: 11 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.092321 (0.14066) Boundary_loss: 0.012902 (0.012825) Loss: 0.10522 (0.15349) +2025-08-24,23:51:31 | INFO | Train Epoch: 11 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.13888 (0.14062) Boundary_loss: 0.012846 (0.012825) Loss: 0.15173 (0.15345) +2025-08-24,23:52:36 | INFO | Train Epoch: 11 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.17485 (0.14135) Boundary_loss: 0.012852 (0.012826) Loss: 0.18771 (0.15418) +2025-08-24,23:53:41 | INFO | Train Epoch: 11 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.11232 (0.14075) Boundary_loss: 0.012811 (0.012826) Loss: 0.12513 (0.15357) +2025-08-24,23:54:46 | INFO | Train Epoch: 11 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.12548 (0.14044) Boundary_loss: 0.012852 (0.012826) Loss: 0.13833 (0.15326) +2025-08-24,23:55:51 | INFO | Train Epoch: 11 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.14628 (0.14055) Boundary_loss: 0.012825 (0.012826) Loss: 0.15911 (0.15338) +2025-08-24,23:56:56 | INFO | Train Epoch: 11 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.11389 (0.14003) Boundary_loss: 0.012772 (0.012825) Loss: 0.12666 (0.15285) +2025-08-24,23:58:01 | INFO | Train Epoch: 11 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.14636 (0.14015) Boundary_loss: 0.012744 (0.012823) Loss: 0.15910 (0.15297) +2025-08-24,23:59:06 | INFO | Train Epoch: 11 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.14193 (0.14018) Boundary_loss: 0.012740 (0.012822) Loss: 0.15467 (0.15301) +2025-08-25,00:00:11 | INFO | Train Epoch: 11 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.12542 (0.13991) Boundary_loss: 0.012797 (0.012821) Loss: 0.13821 (0.15273) +2025-08-25,00:01:16 | INFO | Train Epoch: 11 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.14163 (0.13994) Boundary_loss: 0.012847 (0.012822) Loss: 0.15448 (0.15276) +2025-08-25,00:02:20 | INFO | Train Epoch: 11 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.12935 (0.13975) Boundary_loss: 0.012818 (0.012822) Loss: 0.14216 (0.15258) +2025-08-25,00:03:25 | INFO | Train Epoch: 11 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.12675 (0.13953) Boundary_loss: 0.012760 (0.012821) Loss: 0.13951 (0.15235) +2025-08-25,00:04:30 | INFO | Train Epoch: 11 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.12334 (0.13925) Boundary_loss: 0.012827 (0.012821) Loss: 0.13617 (0.15207) +2025-08-25,00:05:35 | INFO | Train Epoch: 11 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.12625 (0.13903) Boundary_loss: 0.012831 (0.012821) Loss: 0.13908 (0.15185) +2025-08-25,00:06:40 | INFO | Train Epoch: 11 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.12082 (0.13872) Boundary_loss: 0.012900 (0.012822) Loss: 0.13372 (0.15155) +2025-08-25,00:07:45 | INFO | Train Epoch: 11 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.16139 (0.13909) Boundary_loss: 0.012952 (0.012824) Loss: 0.17434 (0.15192) +2025-08-25,00:08:50 | INFO | Train Epoch: 11 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.097211 (0.13842) Boundary_loss: 0.012819 (0.012824) Loss: 0.11003 (0.15124) +2025-08-25,00:09:55 | INFO | Train Epoch: 11 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.14142 (0.13847) Boundary_loss: 0.012793 (0.012824) Loss: 0.15421 (0.15129) +2025-08-25,00:11:00 | INFO | Train Epoch: 11 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.13394 (0.13840) Boundary_loss: 0.012898 (0.012825) Loss: 0.14683 (0.15122) +2025-08-25,00:12:05 | INFO | Train Epoch: 11 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.15596 (0.13867) Boundary_loss: 0.012917 (0.012826) Loss: 0.16888 (0.15149) +2025-08-25,00:13:10 | INFO | Train Epoch: 11 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.11329 (0.13828) Boundary_loss: 0.012856 (0.012827) Loss: 0.12614 (0.15111) +2025-08-25,00:14:15 | INFO | Train Epoch: 11 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.14603 (0.13840) Boundary_loss: 0.012790 (0.012826) Loss: 0.15882 (0.15122) +2025-08-25,00:15:20 | INFO | Train Epoch: 11 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.14491 (0.13849) Boundary_loss: 0.012853 (0.012827) Loss: 0.15777 (0.15132) +2025-08-25,00:16:25 | INFO | Train Epoch: 11 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.14219 (0.13855) Boundary_loss: 0.012776 (0.012826) Loss: 0.15496 (0.15137) +2025-08-25,00:17:29 | INFO | Train Epoch: 11 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.19332 (0.13933) Boundary_loss: 0.012779 (0.012825) Loss: 0.20610 (0.15215) +2025-08-25,00:18:34 | INFO | Train Epoch: 11 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.15168 (0.13950) Boundary_loss: 0.012791 (0.012825) Loss: 0.16447 (0.15233) +2025-08-25,00:19:39 | INFO | Train Epoch: 11 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.11604 (0.13918) Boundary_loss: 0.012915 (0.012826) Loss: 0.12896 (0.15200) +2025-08-25,00:20:44 | INFO | Train Epoch: 11 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.14922 (0.13931) Boundary_loss: 0.012943 (0.012828) Loss: 0.16216 (0.15214) +2025-08-25,00:21:49 | INFO | Train Epoch: 11 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.15864 (0.13958) Boundary_loss: 0.012820 (0.012828) Loss: 0.17146 (0.15240) +2025-08-25,00:22:54 | INFO | Train Epoch: 11 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 0.12131 (0.13933) Boundary_loss: 0.012841 (0.012828) Loss: 0.13416 (0.15216) +2025-08-25,00:23:59 | INFO | Train Epoch: 11 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.13273 (0.13925) Boundary_loss: 0.012745 (0.012827) Loss: 0.14547 (0.15207) +2025-08-25,00:25:04 | INFO | Train Epoch: 11 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.13701 (0.13922) Boundary_loss: 0.012779 (0.012826) Loss: 0.14979 (0.15204) +2025-08-25,00:26:09 | INFO | Train Epoch: 11 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.15903 (0.13947) Boundary_loss: 0.012839 (0.012826) Loss: 0.17187 (0.15230) +2025-08-25,00:27:14 | INFO | Train Epoch: 11 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.12864 (0.13933) Boundary_loss: 0.012829 (0.012826) Loss: 0.14147 (0.15216) +2025-08-25,00:28:19 | INFO | Train Epoch: 11 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.20141 (0.14011) Boundary_loss: 0.012776 (0.012826) Loss: 0.21419 (0.15293) +2025-08-25,00:29:24 | INFO | Train Epoch: 11 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.12851 (0.13997) Boundary_loss: 0.012876 (0.012826) Loss: 0.14139 (0.15279) +2025-08-25,00:30:29 | INFO | Train Epoch: 11 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.12726 (0.13981) Boundary_loss: 0.012796 (0.012826) Loss: 0.14005 (0.15264) +2025-08-25,00:31:34 | INFO | Train Epoch: 11 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.12330 (0.13961) Boundary_loss: 0.012863 (0.012826) Loss: 0.13616 (0.15244) +2025-08-25,00:32:39 | INFO | Train Epoch: 11 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.12815 (0.13948) Boundary_loss: 0.012812 (0.012826) Loss: 0.14096 (0.15230) +2025-08-25,00:33:44 | INFO | Train Epoch: 11 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.16230 (0.13974) Boundary_loss: 0.012768 (0.012825) Loss: 0.17507 (0.15257) +2025-08-25,00:34:49 | INFO | Train Epoch: 11 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.13359 (0.13967) Boundary_loss: 0.012910 (0.012826) Loss: 0.14651 (0.15250) +2025-08-25,00:35:54 | INFO | Train Epoch: 11 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.12713 (0.13953) Boundary_loss: 0.012878 (0.012827) Loss: 0.14001 (0.15236) +2025-08-25,00:36:59 | INFO | Train Epoch: 11 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.18043 (0.13999) Boundary_loss: 0.012733 (0.012826) Loss: 0.19316 (0.15282) +2025-08-25,00:38:04 | INFO | Train Epoch: 11 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.12943 (0.13987) Boundary_loss: 0.012837 (0.012826) Loss: 0.14227 (0.15270) +2025-08-25,00:39:09 | INFO | Train Epoch: 11 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.13736 (0.13985) Boundary_loss: 0.012860 (0.012826) Loss: 0.15021 (0.15267) +2025-08-25,00:40:14 | INFO | Train Epoch: 11 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 18.986 Boundary Ratio: 0.097 Contrastive_loss: 0.15447 (0.14001) Boundary_loss: 0.012792 (0.012826) Loss: 0.16726 (0.15283) +2025-08-25,00:41:19 | INFO | Train Epoch: 11 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.12119 (0.13980) Boundary_loss: 0.012902 (0.012827) Loss: 0.13409 (0.15263) +2025-08-25,00:42:24 | INFO | Train Epoch: 11 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.14597 (0.13987) Boundary_loss: 0.012859 (0.012827) Loss: 0.15882 (0.15270) +2025-08-25,00:43:29 | INFO | Train Epoch: 11 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.12917 (0.13975) Boundary_loss: 0.012873 (0.012828) Loss: 0.14204 (0.15258) +2025-08-25,00:44:34 | INFO | Train Epoch: 11 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.15152 (0.13988) Boundary_loss: 0.012825 (0.012828) Loss: 0.16434 (0.15271) +2025-08-25,00:45:39 | INFO | Train Epoch: 11 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.11370 (0.13961) Boundary_loss: 0.012883 (0.012828) Loss: 0.12658 (0.15243) +2025-08-25,00:46:43 | INFO | Train Epoch: 11 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.13925 (0.13960) Boundary_loss: 0.012872 (0.012829) Loss: 0.15213 (0.15243) +2025-08-25,00:47:48 | INFO | Train Epoch: 11 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.20054 (0.14022) Boundary_loss: 0.012764 (0.012828) Loss: 0.21330 (0.15305) +2025-08-25,00:48:53 | INFO | Train Epoch: 11 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.13392 (0.14016) Boundary_loss: 0.012827 (0.012828) Loss: 0.14674 (0.15299) +2025-08-25,00:49:58 | INFO | Train Epoch: 11 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.11591 (0.13992) Boundary_loss: 0.012831 (0.012828) Loss: 0.12874 (0.15275) +2025-08-25,00:51:03 | INFO | Train Epoch: 11 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.16701 (0.14019) Boundary_loss: 0.012795 (0.012828) Loss: 0.17980 (0.15301) +2025-08-25,00:52:08 | INFO | Train Epoch: 11 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.17024 (0.14048) Boundary_loss: 0.012766 (0.012827) Loss: 0.18301 (0.15331) +2025-08-25,00:53:13 | INFO | Train Epoch: 11 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.11835 (0.14027) Boundary_loss: 0.012835 (0.012827) Loss: 0.13118 (0.15309) +2025-08-25,00:54:18 | INFO | Train Epoch: 11 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.15308 (0.14039) Boundary_loss: 0.012871 (0.012828) Loss: 0.16595 (0.15322) +2025-08-25,00:55:23 | INFO | Train Epoch: 11 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.16939 (0.14067) Boundary_loss: 0.012938 (0.012829) Loss: 0.18233 (0.15349) +2025-08-25,00:56:28 | INFO | Train Epoch: 11 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.13742 (0.14063) Boundary_loss: 0.012775 (0.012828) Loss: 0.15019 (0.15346) +2025-08-25,00:57:33 | INFO | Train Epoch: 11 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.13113 (0.14055) Boundary_loss: 0.012818 (0.012828) Loss: 0.14395 (0.15337) +2025-08-25,00:58:38 | INFO | Train Epoch: 11 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.17011 (0.14082) Boundary_loss: 0.012873 (0.012829) Loss: 0.18298 (0.15365) +2025-08-25,00:59:43 | INFO | Train Epoch: 11 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.12516 (0.14068) Boundary_loss: 0.012832 (0.012829) Loss: 0.13799 (0.15350) +2025-08-25,01:00:48 | INFO | Train Epoch: 11 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.14183 (0.14069) Boundary_loss: 0.012802 (0.012828) Loss: 0.15463 (0.15351) +2025-08-25,01:01:53 | INFO | Train Epoch: 11 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 0.12249 (0.14052) Boundary_loss: 0.012885 (0.012829) Loss: 0.13537 (0.15335) +2025-08-25,01:02:58 | INFO | Train Epoch: 11 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.14556 (0.14057) Boundary_loss: 0.012828 (0.012829) Loss: 0.15839 (0.15340) +2025-08-25,01:04:03 | INFO | Train Epoch: 11 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.16491 (0.14078) Boundary_loss: 0.012862 (0.012829) Loss: 0.17777 (0.15361) +2025-08-25,01:05:08 | INFO | Train Epoch: 11 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.14156 (0.14079) Boundary_loss: 0.012923 (0.012830) Loss: 0.15448 (0.15362) +2025-08-25,01:06:13 | INFO | Train Epoch: 11 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.098930 (0.14043) Boundary_loss: 0.012769 (0.012829) Loss: 0.11170 (0.15326) +2025-08-25,01:07:18 | INFO | Train Epoch: 11 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.12880 (0.14033) Boundary_loss: 0.012772 (0.012829) Loss: 0.14158 (0.15315) +2025-08-25,01:08:24 | INFO | Train Epoch: 11 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.564 Boundary Ratio: 0.100 Contrastive_loss: 0.15600 (0.14046) Boundary_loss: 0.012910 (0.012830) Loss: 0.16891 (0.15329) +2025-08-25,01:09:28 | INFO | Train Epoch: 11 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.13962 (0.14045) Boundary_loss: 0.012881 (0.012830) Loss: 0.15250 (0.15328) +2025-08-25,01:10:34 | INFO | Train Epoch: 11 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.13236 (0.14038) Boundary_loss: 0.012779 (0.012830) Loss: 0.14514 (0.15321) +2025-08-25,01:11:39 | INFO | Train Epoch: 11 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.15823 (0.14053) Boundary_loss: 0.012753 (0.012829) Loss: 0.17098 (0.15336) +2025-08-25,01:12:44 | INFO | Train Epoch: 11 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.14461 (0.14057) Boundary_loss: 0.012905 (0.012830) Loss: 0.15751 (0.15340) +2025-08-25,01:13:49 | INFO | Train Epoch: 11 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.12356 (0.14043) Boundary_loss: 0.012823 (0.012830) Loss: 0.13638 (0.15326) +2025-08-25,01:14:54 | INFO | Train Epoch: 11 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.12506 (0.14030) Boundary_loss: 0.012934 (0.012830) Loss: 0.13799 (0.15313) +2025-08-25,01:15:59 | INFO | Train Epoch: 11 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.13494 (0.14026) Boundary_loss: 0.012993 (0.012832) Loss: 0.14793 (0.15309) +2025-08-25,01:17:04 | INFO | Train Epoch: 11 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.13534 (0.14022) Boundary_loss: 0.012882 (0.012832) Loss: 0.14823 (0.15305) +2025-08-25,01:18:09 | INFO | Train Epoch: 11 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.16817 (0.14044) Boundary_loss: 0.012841 (0.012832) Loss: 0.18101 (0.15327) +2025-08-25,01:19:14 | INFO | Train Epoch: 11 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.16789 (0.14066) Boundary_loss: 0.012750 (0.012832) Loss: 0.18064 (0.15349) +2025-08-25,01:20:19 | INFO | Train Epoch: 11 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.15799 (0.14079) Boundary_loss: 0.012776 (0.012831) Loss: 0.17076 (0.15362) +2025-08-25,01:21:24 | INFO | Train Epoch: 11 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.11250 (0.14057) Boundary_loss: 0.012847 (0.012831) Loss: 0.12535 (0.15341) +2025-08-25,01:22:29 | INFO | Train Epoch: 11 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.13888 (0.14056) Boundary_loss: 0.012850 (0.012831) Loss: 0.15173 (0.15339) +2025-08-25,01:23:34 | INFO | Train Epoch: 11 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.17074 (0.14079) Boundary_loss: 0.012763 (0.012831) Loss: 0.18350 (0.15362) +2025-08-25,01:24:39 | INFO | Train Epoch: 11 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.17424 (0.14104) Boundary_loss: 0.012846 (0.012831) Loss: 0.18709 (0.15388) +2025-08-25,01:25:44 | INFO | Train Epoch: 11 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.13865 (0.14103) Boundary_loss: 0.012741 (0.012830) Loss: 0.15139 (0.15386) +2025-08-25,01:26:49 | INFO | Train Epoch: 11 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.091095 (0.14065) Boundary_loss: 0.012878 (0.012831) Loss: 0.10397 (0.15348) +2025-08-25,01:27:54 | INFO | Train Epoch: 11 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.20312 (0.14112) Boundary_loss: 0.012921 (0.012831) Loss: 0.21604 (0.15395) +2025-08-25,01:28:59 | INFO | Train Epoch: 11 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.12559 (0.14100) Boundary_loss: 0.012745 (0.012831) Loss: 0.13833 (0.15383) +2025-08-25,01:30:04 | INFO | Train Epoch: 11 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.11366 (0.14080) Boundary_loss: 0.012845 (0.012831) Loss: 0.12650 (0.15363) +2025-08-25,01:31:09 | INFO | Train Epoch: 11 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.13065 (0.14073) Boundary_loss: 0.012767 (0.012830) Loss: 0.14341 (0.15356) +2025-08-25,01:32:14 | INFO | Train Epoch: 11 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.10967 (0.14051) Boundary_loss: 0.012728 (0.012830) Loss: 0.12240 (0.15334) +2025-08-25,01:33:19 | INFO | Train Epoch: 11 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.12515 (0.14040) Boundary_loss: 0.012829 (0.012830) Loss: 0.13798 (0.15323) +2025-08-25,01:34:24 | INFO | Train Epoch: 11 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.15552 (0.14050) Boundary_loss: 0.012871 (0.012830) Loss: 0.16840 (0.15333) +2025-08-25,01:35:29 | INFO | Train Epoch: 11 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.11811 (0.14035) Boundary_loss: 0.012896 (0.012830) Loss: 0.13101 (0.15318) +2025-08-25,01:36:34 | INFO | Train Epoch: 11 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.14580 (0.14038) Boundary_loss: 0.012834 (0.012830) Loss: 0.15864 (0.15321) +2025-08-25,01:37:39 | INFO | Train Epoch: 11 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.13684 (0.14036) Boundary_loss: 0.012877 (0.012831) Loss: 0.14972 (0.15319) +2025-08-25,01:38:44 | INFO | Train Epoch: 11 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.18047 (0.14064) Boundary_loss: 0.012768 (0.012830) Loss: 0.19324 (0.15347) +2025-08-25,01:39:49 | INFO | Train Epoch: 11 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.16222 (0.14078) Boundary_loss: 0.012810 (0.012830) Loss: 0.17503 (0.15361) +2025-08-25,01:40:54 | INFO | Train Epoch: 11 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.11032 (0.14058) Boundary_loss: 0.012773 (0.012830) Loss: 0.12310 (0.15341) +2025-08-25,01:41:59 | INFO | Train Epoch: 11 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.12701 (0.14049) Boundary_loss: 0.012864 (0.012830) Loss: 0.13988 (0.15332) +2025-08-25,01:43:04 | INFO | Train Epoch: 11 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.12114 (0.14036) Boundary_loss: 0.012810 (0.012830) Loss: 0.13395 (0.15319) +2025-08-25,01:44:09 | INFO | Train Epoch: 11 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.15374 (0.14044) Boundary_loss: 0.012826 (0.012830) Loss: 0.16656 (0.15327) +2025-08-25,01:45:14 | INFO | Train Epoch: 11 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.19362 (0.14080) Boundary_loss: 0.012868 (0.012830) Loss: 0.20649 (0.15363) +2025-08-25,01:46:19 | INFO | Train Epoch: 11 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.18142 (0.14106) Boundary_loss: 0.012818 (0.012830) Loss: 0.19424 (0.15389) +2025-08-25,01:47:24 | INFO | Train Epoch: 11 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.14715 (0.14110) Boundary_loss: 0.012794 (0.012830) Loss: 0.15995 (0.15393) +2025-08-25,01:48:30 | INFO | Train Epoch: 11 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.15597 (0.14120) Boundary_loss: 0.012867 (0.012830) Loss: 0.16883 (0.15403) +2025-08-25,01:49:35 | INFO | Train Epoch: 11 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.14355 (0.14122) Boundary_loss: 0.012815 (0.012830) Loss: 0.15636 (0.15405) +2025-08-25,01:50:40 | INFO | Train Epoch: 11 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.16257 (0.14135) Boundary_loss: 0.012773 (0.012830) Loss: 0.17534 (0.15418) +2025-08-25,01:51:45 | INFO | Train Epoch: 11 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.099167 (0.14108) Boundary_loss: 0.012798 (0.012829) Loss: 0.11196 (0.15391) +2025-08-25,01:52:50 | INFO | Train Epoch: 11 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.12855 (0.14100) Boundary_loss: 0.012714 (0.012829) Loss: 0.14126 (0.15383) +2025-08-25,01:53:55 | INFO | Train Epoch: 11 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.15098 (0.14107) Boundary_loss: 0.012689 (0.012828) Loss: 0.16367 (0.15389) +2025-08-25,01:55:00 | INFO | Train Epoch: 11 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.17334 (0.14127) Boundary_loss: 0.012976 (0.012829) Loss: 0.18631 (0.15410) +2025-08-25,01:56:05 | INFO | Train Epoch: 11 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.13528 (0.14123) Boundary_loss: 0.012765 (0.012828) Loss: 0.14804 (0.15406) +2025-08-25,01:57:10 | INFO | Train Epoch: 11 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.12203 (0.14111) Boundary_loss: 0.012796 (0.012828) Loss: 0.13483 (0.15394) +2025-08-25,01:58:15 | INFO | Train Epoch: 11 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.11917 (0.14098) Boundary_loss: 0.012769 (0.012828) Loss: 0.13194 (0.15381) +2025-08-25,01:59:20 | INFO | Train Epoch: 11 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.12967 (0.14091) Boundary_loss: 0.012807 (0.012828) Loss: 0.14248 (0.15374) +2025-08-25,02:00:25 | INFO | Train Epoch: 11 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.13956 (0.14090) Boundary_loss: 0.012860 (0.012828) Loss: 0.15242 (0.15373) +2025-08-25,02:01:30 | INFO | Train Epoch: 11 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.11930 (0.14077) Boundary_loss: 0.012927 (0.012828) Loss: 0.13223 (0.15360) +2025-08-25,02:02:35 | INFO | Train Epoch: 11 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.14343 (0.14079) Boundary_loss: 0.012859 (0.012829) Loss: 0.15628 (0.15362) +2025-08-25,02:03:40 | INFO | Train Epoch: 11 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.13539 (0.14075) Boundary_loss: 0.012736 (0.012828) Loss: 0.14813 (0.15358) +2025-08-25,02:04:45 | INFO | Train Epoch: 11 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.551 Boundary Ratio: 0.100 Contrastive_loss: 0.15257 (0.14082) Boundary_loss: 0.012820 (0.012828) Loss: 0.16539 (0.15365) +2025-08-25,02:05:50 | INFO | Train Epoch: 11 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.17818 (0.14104) Boundary_loss: 0.012854 (0.012828) Loss: 0.19104 (0.15387) +2025-08-25,02:06:55 | INFO | Train Epoch: 11 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.13554 (0.14101) Boundary_loss: 0.012827 (0.012828) Loss: 0.14836 (0.15384) +2025-08-25,02:08:00 | INFO | Train Epoch: 11 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.16614 (0.14116) Boundary_loss: 0.012848 (0.012828) Loss: 0.17899 (0.15399) +2025-08-25,02:09:05 | INFO | Train Epoch: 11 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.12647 (0.14107) Boundary_loss: 0.012886 (0.012829) Loss: 0.13936 (0.15390) +2025-08-25,02:10:10 | INFO | Train Epoch: 11 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.14620 (0.14110) Boundary_loss: 0.012780 (0.012828) Loss: 0.15898 (0.15393) +2025-08-25,02:11:15 | INFO | Train Epoch: 11 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.16369 (0.14123) Boundary_loss: 0.012753 (0.012828) Loss: 0.17644 (0.15406) +2025-08-25,02:12:20 | INFO | Train Epoch: 11 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.14071 (0.14123) Boundary_loss: 0.012758 (0.012827) Loss: 0.15347 (0.15406) +2025-08-25,02:13:25 | INFO | Train Epoch: 11 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.12501 (0.14114) Boundary_loss: 0.012739 (0.012827) Loss: 0.13775 (0.15396) +2025-08-25,02:14:30 | INFO | Train Epoch: 11 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 0.14083 (0.14114) Boundary_loss: 0.012943 (0.012828) Loss: 0.15377 (0.15396) +2025-08-25,02:15:35 | INFO | Train Epoch: 11 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.15840 (0.14123) Boundary_loss: 0.012875 (0.012828) Loss: 0.17128 (0.15406) +2025-08-25,02:16:40 | INFO | Train Epoch: 11 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.11061 (0.14106) Boundary_loss: 0.012909 (0.012828) Loss: 0.12352 (0.15389) +2025-08-25,02:17:46 | INFO | Train Epoch: 11 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.12094 (0.14095) Boundary_loss: 0.012790 (0.012828) Loss: 0.13373 (0.15378) +2025-08-25,02:18:51 | INFO | Train Epoch: 11 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.10300 (0.14074) Boundary_loss: 0.012810 (0.012828) Loss: 0.11581 (0.15357) +2025-08-25,02:19:56 | INFO | Train Epoch: 11 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.11655 (0.14061) Boundary_loss: 0.012839 (0.012828) Loss: 0.12939 (0.15344) +2025-08-25,02:21:01 | INFO | Train Epoch: 11 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.13996 (0.14061) Boundary_loss: 0.012864 (0.012828) Loss: 0.15282 (0.15343) +2025-08-25,02:22:06 | INFO | Train Epoch: 11 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.16434 (0.14073) Boundary_loss: 0.012791 (0.012828) Loss: 0.17713 (0.15356) +2025-08-25,02:23:11 | INFO | Train Epoch: 11 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.15872 (0.14083) Boundary_loss: 0.012827 (0.012828) Loss: 0.17155 (0.15366) +2025-08-25,02:24:16 | INFO | Train Epoch: 11 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.15514 (0.14091) Boundary_loss: 0.012878 (0.012828) Loss: 0.16802 (0.15374) +2025-08-25,02:25:21 | INFO | Train Epoch: 11 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.12808 (0.14084) Boundary_loss: 0.012849 (0.012828) Loss: 0.14093 (0.15367) +2025-08-25,02:26:26 | INFO | Train Epoch: 11 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.12326 (0.14075) Boundary_loss: 0.012914 (0.012829) Loss: 0.13618 (0.15358) +2025-08-25,02:27:31 | INFO | Train Epoch: 11 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.13066 (0.14069) Boundary_loss: 0.012818 (0.012829) Loss: 0.14348 (0.15352) +2025-08-25,02:28:36 | INFO | Train Epoch: 11 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.12961 (0.14064) Boundary_loss: 0.012858 (0.012829) Loss: 0.14247 (0.15346) +2025-08-25,02:29:41 | INFO | Train Epoch: 11 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.11316 (0.14049) Boundary_loss: 0.012877 (0.012829) Loss: 0.12604 (0.15332) +2025-08-25,02:30:46 | INFO | Train Epoch: 11 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.14261 (0.14050) Boundary_loss: 0.012840 (0.012829) Loss: 0.15545 (0.15333) +2025-08-25,02:31:51 | INFO | Train Epoch: 11 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.16603 (0.14064) Boundary_loss: 0.012795 (0.012829) Loss: 0.17882 (0.15346) +2025-08-25,02:32:56 | INFO | Train Epoch: 11 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.12623 (0.14056) Boundary_loss: 0.012767 (0.012829) Loss: 0.13900 (0.15339) +2025-08-25,02:34:01 | INFO | Train Epoch: 11 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.16692 (0.14070) Boundary_loss: 0.012837 (0.012829) Loss: 0.17976 (0.15352) +2025-08-25,02:35:06 | INFO | Train Epoch: 11 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.13032 (0.14064) Boundary_loss: 0.012868 (0.012829) Loss: 0.14319 (0.15347) +2025-08-25,02:36:11 | INFO | Train Epoch: 11 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.13827 (0.14063) Boundary_loss: 0.012897 (0.012829) Loss: 0.15117 (0.15346) +2025-08-25,02:37:16 | INFO | Train Epoch: 11 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.14128 (0.14063) Boundary_loss: 0.012771 (0.012829) Loss: 0.15405 (0.15346) +2025-08-25,02:38:21 | INFO | Train Epoch: 11 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.11097 (0.14049) Boundary_loss: 0.012756 (0.012829) Loss: 0.12373 (0.15331) +2025-08-25,02:39:26 | INFO | Train Epoch: 11 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.10097 (0.14029) Boundary_loss: 0.012867 (0.012829) Loss: 0.11384 (0.15312) +2025-08-25,02:40:31 | INFO | Train Epoch: 11 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.088538 (0.14003) Boundary_loss: 0.012842 (0.012829) Loss: 0.10138 (0.15286) +2025-08-25,02:41:37 | INFO | Train Epoch: 11 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.15687 (0.14012) Boundary_loss: 0.012897 (0.012829) Loss: 0.16976 (0.15295) +2025-08-25,02:42:42 | INFO | Train Epoch: 11 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.12459 (0.14004) Boundary_loss: 0.012855 (0.012829) Loss: 0.13745 (0.15287) +2025-08-25,02:43:47 | INFO | Train Epoch: 11 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.13922 (0.14004) Boundary_loss: 0.012807 (0.012829) Loss: 0.15202 (0.15287) +2025-08-25,02:44:52 | INFO | Train Epoch: 11 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.11317 (0.13991) Boundary_loss: 0.012781 (0.012829) Loss: 0.12595 (0.15273) +2025-08-25,02:45:57 | INFO | Train Epoch: 11 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.11895 (0.13980) Boundary_loss: 0.012721 (0.012829) Loss: 0.13167 (0.15263) +2025-08-25,02:47:02 | INFO | Train Epoch: 11 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.10973 (0.13966) Boundary_loss: 0.012887 (0.012829) Loss: 0.12262 (0.15249) +2025-08-25,02:48:07 | INFO | Train Epoch: 11 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.15585 (0.13974) Boundary_loss: 0.012819 (0.012829) Loss: 0.16867 (0.15257) +2025-08-25,02:49:12 | INFO | Train Epoch: 11 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.12919 (0.13969) Boundary_loss: 0.012897 (0.012829) Loss: 0.14209 (0.15252) +2025-08-25,02:50:17 | INFO | Train Epoch: 11 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.13059 (0.13964) Boundary_loss: 0.012854 (0.012829) Loss: 0.14345 (0.15247) +2025-08-25,02:51:22 | INFO | Train Epoch: 11 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.15689 (0.13973) Boundary_loss: 0.012847 (0.012829) Loss: 0.16974 (0.15255) +2025-08-25,02:52:27 | INFO | Train Epoch: 11 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.17825 (0.13991) Boundary_loss: 0.012841 (0.012829) Loss: 0.19109 (0.15274) +2025-08-25,02:53:32 | INFO | Train Epoch: 11 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.11653 (0.13980) Boundary_loss: 0.012815 (0.012829) Loss: 0.12935 (0.15263) +2025-08-25,02:54:37 | INFO | Train Epoch: 11 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.16933 (0.13993) Boundary_loss: 0.012894 (0.012830) Loss: 0.18222 (0.15276) +2025-08-25,02:55:42 | INFO | Train Epoch: 11 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.10198 (0.13976) Boundary_loss: 0.012822 (0.012830) Loss: 0.11480 (0.15259) +2025-08-25,02:56:47 | INFO | Train Epoch: 11 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.15020 (0.13981) Boundary_loss: 0.012822 (0.012830) Loss: 0.16302 (0.15264) +2025-08-25,02:57:52 | INFO | Train Epoch: 11 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.13292 (0.13978) Boundary_loss: 0.012924 (0.012830) Loss: 0.14584 (0.15261) +2025-08-25,02:58:57 | INFO | Train Epoch: 11 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.14498 (0.13980) Boundary_loss: 0.012818 (0.012830) Loss: 0.15780 (0.15263) +2025-08-25,03:00:02 | INFO | Train Epoch: 11 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.10410 (0.13964) Boundary_loss: 0.012795 (0.012830) Loss: 0.11689 (0.15247) +2025-08-25,03:01:07 | INFO | Train Epoch: 11 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.11219 (0.13951) Boundary_loss: 0.012837 (0.012830) Loss: 0.12503 (0.15234) +2025-08-25,03:02:13 | INFO | Train Epoch: 11 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.11889 (0.13942) Boundary_loss: 0.012723 (0.012829) Loss: 0.13161 (0.15225) +2025-08-25,03:03:18 | INFO | Train Epoch: 11 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.094416 (0.13922) Boundary_loss: 0.012908 (0.012830) Loss: 0.10732 (0.15205) +2025-08-25,03:04:23 | INFO | Train Epoch: 11 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.13045 (0.13918) Boundary_loss: 0.012747 (0.012829) Loss: 0.14319 (0.15201) +2025-08-25,03:05:28 | INFO | Train Epoch: 11 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.11849 (0.13909) Boundary_loss: 0.012752 (0.012829) Loss: 0.13124 (0.15192) +2025-08-25,03:06:33 | INFO | Train Epoch: 11 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.16006 (0.13918) Boundary_loss: 0.012916 (0.012829) Loss: 0.17298 (0.15201) +2025-08-25,03:07:38 | INFO | Train Epoch: 11 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.13086 (0.13914) Boundary_loss: 0.012861 (0.012829) Loss: 0.14373 (0.15197) +2025-08-25,03:08:43 | INFO | Train Epoch: 11 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.16783 (0.13927) Boundary_loss: 0.012828 (0.012829) Loss: 0.18066 (0.15210) +2025-08-25,03:09:48 | INFO | Train Epoch: 11 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.12120 (0.13919) Boundary_loss: 0.012732 (0.012829) Loss: 0.13393 (0.15202) +2025-08-25,03:10:53 | INFO | Train Epoch: 11 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.13904 (0.13919) Boundary_loss: 0.012795 (0.012829) Loss: 0.15184 (0.15202) +2025-08-25,03:11:58 | INFO | Train Epoch: 11 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.12956 (0.13915) Boundary_loss: 0.012887 (0.012829) Loss: 0.14245 (0.15198) +2025-08-25,03:13:03 | INFO | Train Epoch: 11 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.13531 (0.13913) Boundary_loss: 0.012839 (0.012829) Loss: 0.14815 (0.15196) +2025-08-25,03:14:08 | INFO | Train Epoch: 11 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.12805 (0.13908) Boundary_loss: 0.012800 (0.012829) Loss: 0.14085 (0.15191) +2025-08-25,03:15:13 | INFO | Train Epoch: 11 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.15505 (0.13915) Boundary_loss: 0.012880 (0.012829) Loss: 0.16793 (0.15198) +2025-08-25,03:16:18 | INFO | Train Epoch: 11 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.15384 (0.13921) Boundary_loss: 0.012855 (0.012829) Loss: 0.16669 (0.15204) +2025-08-25,03:17:23 | INFO | Train Epoch: 11 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.14914 (0.13926) Boundary_loss: 0.012791 (0.012829) Loss: 0.16193 (0.15209) +2025-08-25,03:18:28 | INFO | Train Epoch: 11 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.14223 (0.13927) Boundary_loss: 0.012842 (0.012829) Loss: 0.15507 (0.15210) +2025-08-25,03:19:34 | INFO | Train Epoch: 11 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.12150 (0.13919) Boundary_loss: 0.012899 (0.012830) Loss: 0.13440 (0.15202) +2025-08-25,03:20:39 | INFO | Train Epoch: 11 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.15655 (0.13927) Boundary_loss: 0.012802 (0.012829) Loss: 0.16935 (0.15210) +2025-08-25,03:21:44 | INFO | Train Epoch: 11 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.10067 (0.13911) Boundary_loss: 0.012742 (0.012829) Loss: 0.11341 (0.15193) +2025-08-25,03:22:49 | INFO | Train Epoch: 11 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.14354 (0.13912) Boundary_loss: 0.012749 (0.012829) Loss: 0.15629 (0.15195) +2025-08-25,03:23:54 | INFO | Train Epoch: 11 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.14836 (0.13916) Boundary_loss: 0.012768 (0.012829) Loss: 0.16113 (0.15199) +2025-08-25,03:24:59 | INFO | Train Epoch: 11 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.13898 (0.13916) Boundary_loss: 0.012850 (0.012829) Loss: 0.15183 (0.15199) +2025-08-25,03:26:04 | INFO | Train Epoch: 11 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.11829 (0.13908) Boundary_loss: 0.012800 (0.012828) Loss: 0.13109 (0.15190) +2025-08-25,03:27:09 | INFO | Train Epoch: 11 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.19359 (0.13930) Boundary_loss: 0.012810 (0.012828) Loss: 0.20640 (0.15213) +2025-08-25,03:28:14 | INFO | Train Epoch: 11 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.13362 (0.13928) Boundary_loss: 0.012751 (0.012828) Loss: 0.14637 (0.15210) +2025-08-25,03:29:19 | INFO | Train Epoch: 11 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.13572 (0.13926) Boundary_loss: 0.012820 (0.012828) Loss: 0.14854 (0.15209) +2025-08-25,03:30:24 | INFO | Train Epoch: 11 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.12557 (0.13921) Boundary_loss: 0.012863 (0.012828) Loss: 0.13843 (0.15203) +2025-08-25,03:31:29 | INFO | Train Epoch: 11 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.10442 (0.13907) Boundary_loss: 0.012830 (0.012828) Loss: 0.11725 (0.15189) +2025-08-25,03:32:34 | INFO | Train Epoch: 11 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.14636 (0.13910) Boundary_loss: 0.012767 (0.012828) Loss: 0.15913 (0.15192) +2025-08-25,03:33:39 | INFO | Train Epoch: 11 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.12567 (0.13904) Boundary_loss: 0.012785 (0.012828) Loss: 0.13846 (0.15187) +2025-08-25,03:34:44 | INFO | Train Epoch: 11 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.13503 (0.13903) Boundary_loss: 0.012809 (0.012828) Loss: 0.14784 (0.15185) +2025-08-25,03:35:49 | INFO | Train Epoch: 11 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.14624 (0.13905) Boundary_loss: 0.012949 (0.012828) Loss: 0.15918 (0.15188) +2025-08-25,03:36:55 | INFO | Train Epoch: 11 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.13857 (0.13905) Boundary_loss: 0.012817 (0.012828) Loss: 0.15139 (0.15188) +2025-08-25,03:38:00 | INFO | Train Epoch: 11 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.10994 (0.13894) Boundary_loss: 0.012863 (0.012828) Loss: 0.12281 (0.15177) +2025-08-25,03:39:05 | INFO | Train Epoch: 11 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.15686 (0.13901) Boundary_loss: 0.012851 (0.012828) Loss: 0.16971 (0.15184) +2025-08-25,03:40:10 | INFO | Train Epoch: 11 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.13462 (0.13899) Boundary_loss: 0.012849 (0.012828) Loss: 0.14747 (0.15182) +2025-08-25,03:41:15 | INFO | Train Epoch: 11 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.15799 (0.13906) Boundary_loss: 0.012849 (0.012829) Loss: 0.17084 (0.15189) +2025-08-25,03:42:20 | INFO | Train Epoch: 11 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.14595 (0.13909) Boundary_loss: 0.012851 (0.012829) Loss: 0.15880 (0.15192) +2025-08-25,03:43:25 | INFO | Train Epoch: 11 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.14789 (0.13913) Boundary_loss: 0.012863 (0.012829) Loss: 0.16075 (0.15195) +2025-08-25,03:44:30 | INFO | Train Epoch: 11 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 0.15398 (0.13918) Boundary_loss: 0.012848 (0.012829) Loss: 0.16682 (0.15201) +2025-08-25,03:45:35 | INFO | Train Epoch: 11 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.13562 (0.13917) Boundary_loss: 0.012932 (0.012829) Loss: 0.14855 (0.15200) +2025-08-25,03:46:40 | INFO | Train Epoch: 11 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.19398 (0.13938) Boundary_loss: 0.012800 (0.012829) Loss: 0.20678 (0.15221) +2025-08-25,03:47:45 | INFO | Train Epoch: 11 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.11538 (0.13929) Boundary_loss: 0.012742 (0.012829) Loss: 0.12812 (0.15211) +2025-08-25,03:48:50 | INFO | Train Epoch: 11 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.10895 (0.13917) Boundary_loss: 0.012840 (0.012829) Loss: 0.12179 (0.15200) +2025-08-25,03:49:55 | INFO | Train Epoch: 11 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.10267 (0.13903) Boundary_loss: 0.012943 (0.012829) Loss: 0.11562 (0.15186) +2025-08-25,03:51:00 | INFO | Train Epoch: 11 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.12775 (0.13899) Boundary_loss: 0.012880 (0.012829) Loss: 0.14063 (0.15182) +2025-08-25,03:52:06 | INFO | Train Epoch: 11 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.13376 (0.13897) Boundary_loss: 0.012829 (0.012829) Loss: 0.14659 (0.15180) +2025-08-25,03:53:11 | INFO | Train Epoch: 11 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.16908 (0.13908) Boundary_loss: 0.012767 (0.012829) Loss: 0.18184 (0.15191) +2025-08-25,03:54:16 | INFO | Train Epoch: 11 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.14350 (0.13910) Boundary_loss: 0.012866 (0.012829) Loss: 0.15636 (0.15193) +2025-08-25,03:55:21 | INFO | Train Epoch: 11 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.10547 (0.13898) Boundary_loss: 0.012790 (0.012829) Loss: 0.11826 (0.15181) +2025-08-25,03:56:26 | INFO | Train Epoch: 11 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.19898 (0.13920) Boundary_loss: 0.012815 (0.012829) Loss: 0.21179 (0.15203) +2025-08-25,03:57:31 | INFO | Train Epoch: 11 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.15286 (0.13925) Boundary_loss: 0.012779 (0.012829) Loss: 0.16564 (0.15208) +2025-08-25,03:58:36 | INFO | Train Epoch: 11 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.12145 (0.13918) Boundary_loss: 0.012787 (0.012829) Loss: 0.13423 (0.15201) +2025-08-25,03:59:41 | INFO | Train Epoch: 11 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.17366 (0.13931) Boundary_loss: 0.012841 (0.012829) Loss: 0.18650 (0.15214) +2025-08-25,04:00:46 | INFO | Train Epoch: 11 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.11931 (0.13924) Boundary_loss: 0.012789 (0.012829) Loss: 0.13210 (0.15206) +2025-08-25,04:01:51 | INFO | Train Epoch: 11 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.12470 (0.13918) Boundary_loss: 0.012751 (0.012828) Loss: 0.13745 (0.15201) +2025-08-25,04:02:56 | INFO | Train Epoch: 11 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.14161 (0.13919) Boundary_loss: 0.012844 (0.012828) Loss: 0.15446 (0.15202) +2025-08-25,04:04:01 | INFO | Train Epoch: 11 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.11983 (0.13912) Boundary_loss: 0.012854 (0.012829) Loss: 0.13268 (0.15195) +2025-08-25,04:05:06 | INFO | Train Epoch: 11 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.11448 (0.13903) Boundary_loss: 0.012795 (0.012828) Loss: 0.12727 (0.15186) +2025-08-25,04:06:11 | INFO | Train Epoch: 11 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.12319 (0.13898) Boundary_loss: 0.012862 (0.012829) Loss: 0.13605 (0.15181) +2025-08-25,04:07:16 | INFO | Train Epoch: 11 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.19376 (0.13917) Boundary_loss: 0.012812 (0.012829) Loss: 0.20657 (0.15200) +2025-08-25,04:08:21 | INFO | Train Epoch: 11 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.11857 (0.13910) Boundary_loss: 0.012850 (0.012829) Loss: 0.13142 (0.15193) +2025-08-25,04:09:27 | INFO | Train Epoch: 11 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.16586 (0.13919) Boundary_loss: 0.012760 (0.012828) Loss: 0.17862 (0.15202) +2025-08-25,04:10:32 | INFO | Train Epoch: 11 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.12682 (0.13915) Boundary_loss: 0.012854 (0.012828) Loss: 0.13967 (0.15198) +2025-08-25,04:11:37 | INFO | Train Epoch: 11 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.12893 (0.13911) Boundary_loss: 0.012802 (0.012828) Loss: 0.14173 (0.15194) +2025-08-25,04:12:42 | INFO | Train Epoch: 11 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.10408 (0.13899) Boundary_loss: 0.012866 (0.012828) Loss: 0.11695 (0.15182) +2025-08-25,04:13:47 | INFO | Train Epoch: 11 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.11059 (0.13889) Boundary_loss: 0.012762 (0.012828) Loss: 0.12335 (0.15172) +2025-08-25,04:14:52 | INFO | Train Epoch: 11 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.11972 (0.13883) Boundary_loss: 0.012862 (0.012828) Loss: 0.13259 (0.15166) +2025-08-25,04:15:57 | INFO | Train Epoch: 11 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.14706 (0.13886) Boundary_loss: 0.012809 (0.012828) Loss: 0.15987 (0.15168) +2025-08-25,04:17:02 | INFO | Train Epoch: 11 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.15617 (0.13892) Boundary_loss: 0.012881 (0.012828) Loss: 0.16905 (0.15174) +2025-08-25,04:18:07 | INFO | Train Epoch: 11 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.15885 (0.13898) Boundary_loss: 0.012758 (0.012828) Loss: 0.17161 (0.15181) +2025-08-25,04:19:13 | INFO | Train Epoch: 11 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.14721 (0.13901) Boundary_loss: 0.012788 (0.012828) Loss: 0.16000 (0.15184) +2025-08-25,04:20:18 | INFO | Train Epoch: 11 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.13993 (0.13901) Boundary_loss: 0.012816 (0.012828) Loss: 0.15275 (0.15184) +2025-08-25,04:21:23 | INFO | Train Epoch: 11 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.14924 (0.13905) Boundary_loss: 0.012782 (0.012828) Loss: 0.16202 (0.15188) +2025-08-25,04:22:28 | INFO | Train Epoch: 11 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.11864 (0.13898) Boundary_loss: 0.012731 (0.012828) Loss: 0.13137 (0.15181) +2025-08-25,04:23:33 | INFO | Train Epoch: 11 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.18554 (0.13914) Boundary_loss: 0.012883 (0.012828) Loss: 0.19842 (0.15197) +2025-08-25,04:24:38 | INFO | Train Epoch: 11 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.17685 (0.13926) Boundary_loss: 0.012796 (0.012828) Loss: 0.18965 (0.15209) +2025-08-25,04:25:43 | INFO | Train Epoch: 11 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.12915 (0.13923) Boundary_loss: 0.012768 (0.012827) Loss: 0.14192 (0.15206) +2025-08-25,04:26:48 | INFO | Train Epoch: 11 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.16912 (0.13933) Boundary_loss: 0.012784 (0.012827) Loss: 0.18191 (0.15216) +2025-08-25,04:27:53 | INFO | Train Epoch: 11 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.11904 (0.13926) Boundary_loss: 0.012799 (0.012827) Loss: 0.13184 (0.15209) +2025-08-25,04:28:58 | INFO | Train Epoch: 11 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.12439 (0.13921) Boundary_loss: 0.012804 (0.012827) Loss: 0.13719 (0.15204) +2025-08-25,04:30:03 | INFO | Train Epoch: 11 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.15284 (0.13926) Boundary_loss: 0.012888 (0.012827) Loss: 0.16573 (0.15209) +2025-08-25,04:31:08 | INFO | Train Epoch: 11 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.10604 (0.13915) Boundary_loss: 0.012848 (0.012827) Loss: 0.11889 (0.15198) +2025-08-25,04:32:13 | INFO | Train Epoch: 11 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.12844 (0.13911) Boundary_loss: 0.012778 (0.012827) Loss: 0.14122 (0.15194) +2025-08-25,04:33:18 | INFO | Train Epoch: 11 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.15177 (0.13915) Boundary_loss: 0.012836 (0.012827) Loss: 0.16460 (0.15198) +2025-08-25,04:34:23 | INFO | Train Epoch: 11 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.15673 (0.13921) Boundary_loss: 0.012819 (0.012827) Loss: 0.16955 (0.15204) +2025-08-25,04:35:28 | INFO | Train Epoch: 11 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.14849 (0.13924) Boundary_loss: 0.012814 (0.012827) Loss: 0.16131 (0.15207) +2025-08-25,04:36:33 | INFO | Train Epoch: 11 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.11754 (0.13917) Boundary_loss: 0.012871 (0.012827) Loss: 0.13041 (0.15200) +2025-08-25,04:37:38 | INFO | Train Epoch: 11 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.12512 (0.13913) Boundary_loss: 0.012778 (0.012827) Loss: 0.13790 (0.15195) +2025-08-25,04:38:43 | INFO | Train Epoch: 11 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.18582 (0.13928) Boundary_loss: 0.012849 (0.012827) Loss: 0.19867 (0.15210) +2025-08-25,04:39:48 | INFO | Train Epoch: 11 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.13162 (0.13925) Boundary_loss: 0.012732 (0.012827) Loss: 0.14435 (0.15208) +2025-08-25,04:40:53 | INFO | Train Epoch: 11 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.13466 (0.13924) Boundary_loss: 0.012768 (0.012827) Loss: 0.14743 (0.15206) +2025-08-25,04:41:59 | INFO | Train Epoch: 11 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.13212 (0.13922) Boundary_loss: 0.012859 (0.012827) Loss: 0.14498 (0.15204) +2025-08-25,04:43:03 | INFO | Train Epoch: 11 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.14138 (0.13922) Boundary_loss: 0.012867 (0.012827) Loss: 0.15424 (0.15205) +2025-08-25,04:44:09 | INFO | Train Epoch: 11 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.16637 (0.13931) Boundary_loss: 0.012717 (0.012827) Loss: 0.17909 (0.15213) +2025-08-25,04:45:14 | INFO | Train Epoch: 11 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.10874 (0.13921) Boundary_loss: 0.012894 (0.012827) Loss: 0.12163 (0.15204) +2025-08-25,04:46:19 | INFO | Train Epoch: 11 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.12726 (0.13917) Boundary_loss: 0.012929 (0.012827) Loss: 0.14019 (0.15200) +2025-08-25,04:47:24 | INFO | Train Epoch: 11 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.11935 (0.13911) Boundary_loss: 0.012746 (0.012827) Loss: 0.13209 (0.15194) +2025-08-25,04:48:29 | INFO | Train Epoch: 11 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.086201 (0.13895) Boundary_loss: 0.012750 (0.012827) Loss: 0.098950 (0.15177) +2025-08-25,04:49:34 | INFO | Train Epoch: 11 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.12434 (0.13890) Boundary_loss: 0.012844 (0.012827) Loss: 0.13719 (0.15173) +2025-08-25,04:50:39 | INFO | Train Epoch: 11 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.092558 (0.13876) Boundary_loss: 0.012825 (0.012827) Loss: 0.10538 (0.15158) +2025-08-25,04:51:44 | INFO | Train Epoch: 11 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.11618 (0.13869) Boundary_loss: 0.012840 (0.012827) Loss: 0.12902 (0.15151) +2025-08-25,04:52:49 | INFO | Train Epoch: 11 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.12826 (0.13865) Boundary_loss: 0.012717 (0.012826) Loss: 0.14097 (0.15148) +2025-08-25,04:53:54 | INFO | Train Epoch: 11 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.11075 (0.13857) Boundary_loss: 0.012856 (0.012827) Loss: 0.12360 (0.15140) +2025-08-25,04:54:59 | INFO | Train Epoch: 11 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.15740 (0.13863) Boundary_loss: 0.012888 (0.012827) Loss: 0.17029 (0.15145) +2025-08-25,04:56:04 | INFO | Train Epoch: 11 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.12697 (0.13859) Boundary_loss: 0.012827 (0.012827) Loss: 0.13979 (0.15142) +2025-08-25,04:57:09 | INFO | Train Epoch: 11 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.16175 (0.13866) Boundary_loss: 0.012705 (0.012826) Loss: 0.17446 (0.15149) +2025-08-25,04:58:14 | INFO | Train Epoch: 11 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.093619 (0.13852) Boundary_loss: 0.012787 (0.012826) Loss: 0.10641 (0.15135) +2025-08-25,04:59:19 | INFO | Train Epoch: 11 [16845312/26365952 (64%)] Avg Boundaries (per batch): 18.990 Boundary Ratio: 0.097 Contrastive_loss: 0.14912 (0.13856) Boundary_loss: 0.012803 (0.012826) Loss: 0.16192 (0.15138) +2025-08-25,05:00:24 | INFO | Train Epoch: 11 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.13388 (0.13854) Boundary_loss: 0.012889 (0.012826) Loss: 0.14677 (0.15137) +2025-08-25,05:01:29 | INFO | Train Epoch: 11 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.13657 (0.13854) Boundary_loss: 0.012837 (0.012826) Loss: 0.14941 (0.15136) +2025-08-25,05:02:34 | INFO | Train Epoch: 11 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.15586 (0.13859) Boundary_loss: 0.012767 (0.012826) Loss: 0.16863 (0.15142) +2025-08-25,05:03:39 | INFO | Train Epoch: 11 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.11689 (0.13852) Boundary_loss: 0.012844 (0.012826) Loss: 0.12973 (0.15135) +2025-08-25,05:04:44 | INFO | Train Epoch: 11 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.13494 (0.13851) Boundary_loss: 0.012823 (0.012826) Loss: 0.14776 (0.15134) +2025-08-25,05:05:49 | INFO | Train Epoch: 11 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.15717 (0.13857) Boundary_loss: 0.012817 (0.012826) Loss: 0.16999 (0.15139) +2025-08-25,05:06:55 | INFO | Train Epoch: 11 [17203712/26365952 (65%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.16607 (0.13865) Boundary_loss: 0.012881 (0.012826) Loss: 0.17895 (0.15148) +2025-08-25,05:08:00 | INFO | Train Epoch: 11 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.12090 (0.13860) Boundary_loss: 0.012768 (0.012826) Loss: 0.13366 (0.15142) +2025-08-25,05:09:05 | INFO | Train Epoch: 11 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.10710 (0.13850) Boundary_loss: 0.012802 (0.012826) Loss: 0.11990 (0.15133) +2025-08-25,05:10:10 | INFO | Train Epoch: 11 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.12012 (0.13845) Boundary_loss: 0.012730 (0.012826) Loss: 0.13285 (0.15128) +2025-08-25,05:11:15 | INFO | Train Epoch: 11 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.12717 (0.13842) Boundary_loss: 0.012898 (0.012826) Loss: 0.14006 (0.15124) +2025-08-25,05:12:20 | INFO | Train Epoch: 11 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.11910 (0.13836) Boundary_loss: 0.012756 (0.012826) Loss: 0.13185 (0.15119) +2025-08-25,05:13:25 | INFO | Train Epoch: 11 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.12405 (0.13832) Boundary_loss: 0.012741 (0.012826) Loss: 0.13679 (0.15115) +2025-08-25,05:14:30 | INFO | Train Epoch: 11 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.12195 (0.13827) Boundary_loss: 0.012900 (0.012826) Loss: 0.13485 (0.15110) +2025-08-25,05:15:35 | INFO | Train Epoch: 11 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.14222 (0.13828) Boundary_loss: 0.012902 (0.012826) Loss: 0.15512 (0.15111) +2025-08-25,05:16:40 | INFO | Train Epoch: 11 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.13405 (0.13827) Boundary_loss: 0.012871 (0.012826) Loss: 0.14692 (0.15110) +2025-08-25,05:17:45 | INFO | Train Epoch: 11 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.15302 (0.13831) Boundary_loss: 0.012855 (0.012826) Loss: 0.16588 (0.15114) +2025-08-25,05:18:50 | INFO | Train Epoch: 11 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.17912 (0.13843) Boundary_loss: 0.012707 (0.012826) Loss: 0.19182 (0.15126) +2025-08-25,05:19:55 | INFO | Train Epoch: 11 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.19112 (0.13858) Boundary_loss: 0.012884 (0.012826) Loss: 0.20401 (0.15141) +2025-08-25,05:21:00 | INFO | Train Epoch: 11 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.12890 (0.13855) Boundary_loss: 0.012790 (0.012826) Loss: 0.14169 (0.15138) +2025-08-25,05:22:05 | INFO | Train Epoch: 11 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.16212 (0.13862) Boundary_loss: 0.012738 (0.012826) Loss: 0.17486 (0.15145) +2025-08-25,05:23:10 | INFO | Train Epoch: 11 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.095002 (0.13850) Boundary_loss: 0.012805 (0.012826) Loss: 0.10781 (0.15132) +2025-08-25,05:24:15 | INFO | Train Epoch: 11 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.16646 (0.13858) Boundary_loss: 0.012755 (0.012825) Loss: 0.17921 (0.15140) +2025-08-25,05:25:20 | INFO | Train Epoch: 11 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.12882 (0.13855) Boundary_loss: 0.012795 (0.012825) Loss: 0.14162 (0.15137) +2025-08-25,05:26:25 | INFO | Train Epoch: 11 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.11516 (0.13848) Boundary_loss: 0.012850 (0.012825) Loss: 0.12801 (0.15131) +2025-08-25,05:27:30 | INFO | Train Epoch: 11 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.14338 (0.13850) Boundary_loss: 0.012914 (0.012826) Loss: 0.15629 (0.15132) +2025-08-25,05:28:36 | INFO | Train Epoch: 11 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.11844 (0.13844) Boundary_loss: 0.012892 (0.012826) Loss: 0.13133 (0.15127) +2025-08-25,05:29:41 | INFO | Train Epoch: 11 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.13022 (0.13842) Boundary_loss: 0.012807 (0.012826) Loss: 0.14303 (0.15124) +2025-08-25,05:30:46 | INFO | Train Epoch: 11 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.10694 (0.13833) Boundary_loss: 0.012839 (0.012826) Loss: 0.11978 (0.15116) +2025-08-25,05:31:51 | INFO | Train Epoch: 11 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.14633 (0.13835) Boundary_loss: 0.012884 (0.012826) Loss: 0.15921 (0.15118) +2025-08-25,05:32:56 | INFO | Train Epoch: 11 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.14543 (0.13837) Boundary_loss: 0.012917 (0.012826) Loss: 0.15835 (0.15120) +2025-08-25,05:34:01 | INFO | Train Epoch: 11 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.094211 (0.13825) Boundary_loss: 0.012843 (0.012826) Loss: 0.10705 (0.15108) +2025-08-25,05:35:06 | INFO | Train Epoch: 11 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.13106 (0.13823) Boundary_loss: 0.012824 (0.012826) Loss: 0.14389 (0.15106) +2025-08-25,05:36:11 | INFO | Train Epoch: 11 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.16759 (0.13831) Boundary_loss: 0.012765 (0.012826) Loss: 0.18036 (0.15114) +2025-08-25,05:37:16 | INFO | Train Epoch: 11 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.10272 (0.13821) Boundary_loss: 0.012793 (0.012826) Loss: 0.11551 (0.15104) +2025-08-25,05:38:21 | INFO | Train Epoch: 11 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.11523 (0.13815) Boundary_loss: 0.012797 (0.012826) Loss: 0.12802 (0.15098) +2025-08-25,05:39:26 | INFO | Train Epoch: 11 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.12758 (0.13812) Boundary_loss: 0.012767 (0.012826) Loss: 0.14035 (0.15095) +2025-08-25,05:40:31 | INFO | Train Epoch: 11 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.14206 (0.13813) Boundary_loss: 0.012945 (0.012826) Loss: 0.15500 (0.15096) +2025-08-25,05:41:36 | INFO | Train Epoch: 11 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.12691 (0.13810) Boundary_loss: 0.012793 (0.012826) Loss: 0.13971 (0.15093) +2025-08-25,05:42:41 | INFO | Train Epoch: 11 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.11455 (0.13804) Boundary_loss: 0.012741 (0.012826) Loss: 0.12729 (0.15086) +2025-08-25,05:43:46 | INFO | Train Epoch: 11 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.10813 (0.13796) Boundary_loss: 0.012881 (0.012826) Loss: 0.12101 (0.15078) +2025-08-25,05:44:51 | INFO | Train Epoch: 11 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.10336 (0.13786) Boundary_loss: 0.012895 (0.012826) Loss: 0.11626 (0.15069) +2025-08-25,05:45:56 | INFO | Train Epoch: 11 [19046912/26365952 (72%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 0.12303 (0.13782) Boundary_loss: 0.012821 (0.012826) Loss: 0.13585 (0.15065) +2025-08-25,05:47:01 | INFO | Train Epoch: 11 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.12394 (0.13779) Boundary_loss: 0.012875 (0.012826) Loss: 0.13682 (0.15061) +2025-08-25,05:48:07 | INFO | Train Epoch: 11 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.11969 (0.13774) Boundary_loss: 0.012774 (0.012826) Loss: 0.13246 (0.15057) +2025-08-25,05:49:12 | INFO | Train Epoch: 11 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.095597 (0.13763) Boundary_loss: 0.012807 (0.012826) Loss: 0.10840 (0.15045) +2025-08-25,05:50:17 | INFO | Train Epoch: 11 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.15800 (0.13768) Boundary_loss: 0.012804 (0.012826) Loss: 0.17080 (0.15051) +2025-08-25,05:51:22 | INFO | Train Epoch: 11 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.13701 (0.13768) Boundary_loss: 0.012798 (0.012826) Loss: 0.14980 (0.15051) +2025-08-25,05:52:27 | INFO | Train Epoch: 11 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.11872 (0.13763) Boundary_loss: 0.012809 (0.012826) Loss: 0.13153 (0.15046) +2025-08-25,05:53:32 | INFO | Train Epoch: 11 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.12248 (0.13759) Boundary_loss: 0.012782 (0.012826) Loss: 0.13526 (0.15042) +2025-08-25,05:54:37 | INFO | Train Epoch: 11 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.11086 (0.13752) Boundary_loss: 0.012792 (0.012826) Loss: 0.12365 (0.15035) +2025-08-25,05:55:42 | INFO | Train Epoch: 11 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.12733 (0.13749) Boundary_loss: 0.012860 (0.012826) Loss: 0.14018 (0.15032) +2025-08-25,05:56:47 | INFO | Train Epoch: 11 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.16983 (0.13758) Boundary_loss: 0.012927 (0.012826) Loss: 0.18275 (0.15040) +2025-08-25,05:57:52 | INFO | Train Epoch: 11 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.11596 (0.13752) Boundary_loss: 0.012791 (0.012826) Loss: 0.12875 (0.15035) +2025-08-25,05:58:57 | INFO | Train Epoch: 11 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.069939 (0.13735) Boundary_loss: 0.012747 (0.012826) Loss: 0.082686 (0.15017) +2025-08-25,06:00:02 | INFO | Train Epoch: 11 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.10964 (0.13727) Boundary_loss: 0.012826 (0.012826) Loss: 0.12247 (0.15010) +2025-08-25,06:01:07 | INFO | Train Epoch: 11 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.11608 (0.13722) Boundary_loss: 0.012852 (0.012826) Loss: 0.12893 (0.15004) +2025-08-25,06:02:12 | INFO | Train Epoch: 11 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.13203 (0.13721) Boundary_loss: 0.012831 (0.012826) Loss: 0.14486 (0.15003) +2025-08-25,06:03:17 | INFO | Train Epoch: 11 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.16126 (0.13727) Boundary_loss: 0.012768 (0.012826) Loss: 0.17403 (0.15009) +2025-08-25,06:04:22 | INFO | Train Epoch: 11 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.14618 (0.13729) Boundary_loss: 0.012785 (0.012826) Loss: 0.15896 (0.15012) +2025-08-25,06:05:27 | INFO | Train Epoch: 11 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.16564 (0.13736) Boundary_loss: 0.012875 (0.012826) Loss: 0.17852 (0.15019) +2025-08-25,06:06:32 | INFO | Train Epoch: 11 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.13060 (0.13735) Boundary_loss: 0.012825 (0.012826) Loss: 0.14342 (0.15017) +2025-08-25,06:07:37 | INFO | Train Epoch: 11 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.11041 (0.13728) Boundary_loss: 0.012912 (0.012826) Loss: 0.12332 (0.15010) +2025-08-25,06:08:42 | INFO | Train Epoch: 11 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.14356 (0.13729) Boundary_loss: 0.012814 (0.012826) Loss: 0.15637 (0.15012) +2025-08-25,06:09:48 | INFO | Train Epoch: 11 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.14683 (0.13732) Boundary_loss: 0.012774 (0.012826) Loss: 0.15961 (0.15014) +2025-08-25,06:10:53 | INFO | Train Epoch: 11 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.14597 (0.13734) Boundary_loss: 0.012884 (0.012826) Loss: 0.15885 (0.15016) +2025-08-25,06:11:58 | INFO | Train Epoch: 11 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.13021 (0.13732) Boundary_loss: 0.012737 (0.012826) Loss: 0.14294 (0.15015) +2025-08-25,06:13:03 | INFO | Train Epoch: 11 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.14134 (0.13733) Boundary_loss: 0.012890 (0.012826) Loss: 0.15423 (0.15016) +2025-08-25,06:14:08 | INFO | Train Epoch: 11 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.10398 (0.13725) Boundary_loss: 0.012925 (0.012826) Loss: 0.11691 (0.15007) +2025-08-25,06:15:13 | INFO | Train Epoch: 11 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.15445 (0.13729) Boundary_loss: 0.012791 (0.012826) Loss: 0.16724 (0.15012) +2025-08-25,06:16:18 | INFO | Train Epoch: 11 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.14997 (0.13732) Boundary_loss: 0.012865 (0.012826) Loss: 0.16284 (0.15015) +2025-08-25,06:17:23 | INFO | Train Epoch: 11 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.14689 (0.13735) Boundary_loss: 0.012803 (0.012826) Loss: 0.15970 (0.15017) +2025-08-25,06:18:28 | INFO | Train Epoch: 11 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.18010 (0.13745) Boundary_loss: 0.012815 (0.012826) Loss: 0.19292 (0.15028) +2025-08-25,06:19:33 | INFO | Train Epoch: 11 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.12808 (0.13743) Boundary_loss: 0.012861 (0.012826) Loss: 0.14094 (0.15025) +2025-08-25,06:20:38 | INFO | Train Epoch: 11 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.12837 (0.13741) Boundary_loss: 0.012821 (0.012826) Loss: 0.14119 (0.15023) +2025-08-25,06:21:43 | INFO | Train Epoch: 11 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.004 Boundary Ratio: 0.097 Contrastive_loss: 0.086175 (0.13728) Boundary_loss: 0.012769 (0.012826) Loss: 0.098944 (0.15011) +2025-08-25,06:22:48 | INFO | Train Epoch: 11 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.12370 (0.13725) Boundary_loss: 0.012775 (0.012826) Loss: 0.13647 (0.15007) +2025-08-25,06:23:53 | INFO | Train Epoch: 11 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.12347 (0.13721) Boundary_loss: 0.012860 (0.012826) Loss: 0.13633 (0.15004) +2025-08-25,06:24:58 | INFO | Train Epoch: 11 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.12731 (0.13719) Boundary_loss: 0.012840 (0.012826) Loss: 0.14014 (0.15001) +2025-08-25,06:26:03 | INFO | Train Epoch: 11 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.17245 (0.13727) Boundary_loss: 0.012825 (0.012826) Loss: 0.18527 (0.15010) +2025-08-25,06:27:08 | INFO | Train Epoch: 11 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 0.16087 (0.13733) Boundary_loss: 0.012828 (0.012826) Loss: 0.17370 (0.15016) +2025-08-25,06:28:13 | INFO | Train Epoch: 11 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.083851 (0.13720) Boundary_loss: 0.012829 (0.012826) Loss: 0.096680 (0.15003) +2025-08-25,06:29:18 | INFO | Train Epoch: 11 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.12653 (0.13718) Boundary_loss: 0.012844 (0.012826) Loss: 0.13938 (0.15000) +2025-08-25,06:30:23 | INFO | Train Epoch: 11 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.11189 (0.13712) Boundary_loss: 0.012883 (0.012826) Loss: 0.12477 (0.14994) +2025-08-25,06:31:28 | INFO | Train Epoch: 11 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.15803 (0.13717) Boundary_loss: 0.012895 (0.012826) Loss: 0.17092 (0.14999) +2025-08-25,06:32:33 | INFO | Train Epoch: 11 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.15222 (0.13720) Boundary_loss: 0.012809 (0.012826) Loss: 0.16503 (0.15003) +2025-08-25,06:33:38 | INFO | Train Epoch: 11 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.14710 (0.13723) Boundary_loss: 0.012834 (0.012826) Loss: 0.15994 (0.15005) +2025-08-25,06:34:43 | INFO | Train Epoch: 11 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.096613 (0.13713) Boundary_loss: 0.012860 (0.012826) Loss: 0.10947 (0.14996) +2025-08-25,06:35:48 | INFO | Train Epoch: 11 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.095328 (0.13703) Boundary_loss: 0.012831 (0.012826) Loss: 0.10816 (0.14986) +2025-08-25,06:36:53 | INFO | Train Epoch: 11 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.14728 (0.13705) Boundary_loss: 0.012852 (0.012826) Loss: 0.16013 (0.14988) +2025-08-25,06:37:58 | INFO | Train Epoch: 11 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.17696 (0.13715) Boundary_loss: 0.012790 (0.012826) Loss: 0.18975 (0.14997) +2025-08-25,06:39:04 | INFO | Train Epoch: 11 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.15486 (0.13719) Boundary_loss: 0.012837 (0.012826) Loss: 0.16770 (0.15002) +2025-08-25,06:40:08 | INFO | Train Epoch: 11 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.13353 (0.13718) Boundary_loss: 0.012886 (0.012827) Loss: 0.14642 (0.15001) +2025-08-25,06:41:13 | INFO | Train Epoch: 11 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.14568 (0.13720) Boundary_loss: 0.012809 (0.012826) Loss: 0.15849 (0.15003) +2025-08-25,06:42:18 | INFO | Train Epoch: 11 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.16443 (0.13727) Boundary_loss: 0.012941 (0.012827) Loss: 0.17737 (0.15009) +2025-08-25,06:43:23 | INFO | Train Epoch: 11 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.088955 (0.13715) Boundary_loss: 0.012809 (0.012827) Loss: 0.10176 (0.14998) +2025-08-25,06:44:28 | INFO | Train Epoch: 11 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.14370 (0.13717) Boundary_loss: 0.012799 (0.012827) Loss: 0.15650 (0.14999) +2025-08-25,06:45:33 | INFO | Train Epoch: 11 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.14568 (0.13719) Boundary_loss: 0.012762 (0.012827) Loss: 0.15844 (0.15001) +2025-08-25,06:46:38 | INFO | Train Epoch: 11 [21914112/26365952 (83%)] Avg Boundaries (per batch): 18.984 Boundary Ratio: 0.097 Contrastive_loss: 0.10792 (0.13712) Boundary_loss: 0.012803 (0.012826) Loss: 0.12072 (0.14995) +2025-08-25,06:47:43 | INFO | Train Epoch: 11 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.15882 (0.13717) Boundary_loss: 0.012717 (0.012826) Loss: 0.17154 (0.15000) +2025-08-25,06:48:48 | INFO | Train Epoch: 11 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.14053 (0.13718) Boundary_loss: 0.012797 (0.012826) Loss: 0.15333 (0.15000) +2025-08-25,06:49:53 | INFO | Train Epoch: 11 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.13366 (0.13717) Boundary_loss: 0.012805 (0.012826) Loss: 0.14646 (0.15000) +2025-08-25,06:50:58 | INFO | Train Epoch: 11 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.094874 (0.13707) Boundary_loss: 0.012797 (0.012826) Loss: 0.10767 (0.14990) +2025-08-25,06:52:03 | INFO | Train Epoch: 11 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.13853 (0.13708) Boundary_loss: 0.012844 (0.012826) Loss: 0.15138 (0.14990) +2025-08-25,06:53:08 | INFO | Train Epoch: 11 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.12505 (0.13705) Boundary_loss: 0.012839 (0.012826) Loss: 0.13789 (0.14987) +2025-08-25,06:54:13 | INFO | Train Epoch: 11 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.13426 (0.13704) Boundary_loss: 0.012746 (0.012826) Loss: 0.14701 (0.14987) +2025-08-25,06:55:18 | INFO | Train Epoch: 11 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.14517 (0.13706) Boundary_loss: 0.012784 (0.012826) Loss: 0.15795 (0.14989) +2025-08-25,06:56:23 | INFO | Train Epoch: 11 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.16915 (0.13713) Boundary_loss: 0.012740 (0.012826) Loss: 0.18189 (0.14996) +2025-08-25,06:57:28 | INFO | Train Epoch: 11 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.15138 (0.13717) Boundary_loss: 0.012747 (0.012825) Loss: 0.16412 (0.14999) +2025-08-25,06:58:33 | INFO | Train Epoch: 11 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.10636 (0.13710) Boundary_loss: 0.012892 (0.012826) Loss: 0.11925 (0.14992) +2025-08-25,06:59:38 | INFO | Train Epoch: 11 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.12767 (0.13707) Boundary_loss: 0.012805 (0.012826) Loss: 0.14047 (0.14990) +2025-08-25,07:00:43 | INFO | Train Epoch: 11 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.11761 (0.13703) Boundary_loss: 0.012834 (0.012826) Loss: 0.13045 (0.14986) +2025-08-25,07:01:48 | INFO | Train Epoch: 11 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.15439 (0.13707) Boundary_loss: 0.012871 (0.012826) Loss: 0.16726 (0.14989) +2025-08-25,07:02:53 | INFO | Train Epoch: 11 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.12947 (0.13705) Boundary_loss: 0.012766 (0.012826) Loss: 0.14224 (0.14988) +2025-08-25,07:03:58 | INFO | Train Epoch: 11 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.099193 (0.13697) Boundary_loss: 0.012825 (0.012826) Loss: 0.11202 (0.14979) +2025-08-25,07:05:03 | INFO | Train Epoch: 11 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.12111 (0.13693) Boundary_loss: 0.012752 (0.012825) Loss: 0.13386 (0.14976) +2025-08-25,07:06:08 | INFO | Train Epoch: 11 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.10230 (0.13685) Boundary_loss: 0.012838 (0.012825) Loss: 0.11514 (0.14968) +2025-08-25,07:07:13 | INFO | Train Epoch: 11 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.16116 (0.13691) Boundary_loss: 0.012840 (0.012825) Loss: 0.17400 (0.14973) +2025-08-25,07:08:18 | INFO | Train Epoch: 11 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.17237 (0.13699) Boundary_loss: 0.012810 (0.012825) Loss: 0.18518 (0.14981) +2025-08-25,07:09:23 | INFO | Train Epoch: 11 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.14754 (0.13701) Boundary_loss: 0.012850 (0.012825) Loss: 0.16040 (0.14984) +2025-08-25,07:10:28 | INFO | Train Epoch: 11 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.12295 (0.13698) Boundary_loss: 0.012820 (0.012825) Loss: 0.13577 (0.14980) +2025-08-25,07:11:33 | INFO | Train Epoch: 11 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.14139 (0.13699) Boundary_loss: 0.012753 (0.012825) Loss: 0.15415 (0.14981) +2025-08-25,07:12:38 | INFO | Train Epoch: 11 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.14604 (0.13701) Boundary_loss: 0.012929 (0.012825) Loss: 0.15897 (0.14983) +2025-08-25,07:13:43 | INFO | Train Epoch: 11 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.15093 (0.13704) Boundary_loss: 0.012795 (0.012825) Loss: 0.16372 (0.14987) +2025-08-25,07:14:48 | INFO | Train Epoch: 11 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.12648 (0.13702) Boundary_loss: 0.012788 (0.012825) Loss: 0.13927 (0.14984) +2025-08-25,07:15:53 | INFO | Train Epoch: 11 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.15474 (0.13706) Boundary_loss: 0.012896 (0.012826) Loss: 0.16764 (0.14988) +2025-08-25,07:16:58 | INFO | Train Epoch: 11 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.18407 (0.13716) Boundary_loss: 0.012900 (0.012826) Loss: 0.19697 (0.14998) +2025-08-25,07:18:03 | INFO | Train Epoch: 11 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.15840 (0.13720) Boundary_loss: 0.012865 (0.012826) Loss: 0.17126 (0.15003) +2025-08-25,07:19:08 | INFO | Train Epoch: 11 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.13353 (0.13720) Boundary_loss: 0.012864 (0.012826) Loss: 0.14639 (0.15002) +2025-08-25,07:20:13 | INFO | Train Epoch: 11 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.15154 (0.13723) Boundary_loss: 0.012757 (0.012826) Loss: 0.16430 (0.15005) +2025-08-25,07:21:18 | INFO | Train Epoch: 11 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.10783 (0.13716) Boundary_loss: 0.012778 (0.012826) Loss: 0.12061 (0.14999) +2025-08-25,07:22:23 | INFO | Train Epoch: 11 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.14875 (0.13719) Boundary_loss: 0.012761 (0.012825) Loss: 0.16151 (0.15001) +2025-08-25,07:23:28 | INFO | Train Epoch: 11 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.14367 (0.13720) Boundary_loss: 0.012840 (0.012825) Loss: 0.15651 (0.15003) +2025-08-25,07:24:33 | INFO | Train Epoch: 11 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.13389 (0.13720) Boundary_loss: 0.012775 (0.012825) Loss: 0.14667 (0.15002) +2025-08-25,07:25:38 | INFO | Train Epoch: 11 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.090042 (0.13709) Boundary_loss: 0.012810 (0.012825) Loss: 0.10285 (0.14992) +2025-08-25,07:26:43 | INFO | Train Epoch: 11 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.13208 (0.13708) Boundary_loss: 0.012871 (0.012825) Loss: 0.14495 (0.14991) +2025-08-25,07:27:48 | INFO | Train Epoch: 11 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.12242 (0.13705) Boundary_loss: 0.012885 (0.012826) Loss: 0.13530 (0.14988) +2025-08-25,07:28:53 | INFO | Train Epoch: 11 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.023 Boundary Ratio: 0.097 Contrastive_loss: 0.13595 (0.13705) Boundary_loss: 0.012896 (0.012826) Loss: 0.14885 (0.14988) +2025-08-25,07:29:58 | INFO | Train Epoch: 11 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.081714 (0.13693) Boundary_loss: 0.012762 (0.012826) Loss: 0.094476 (0.14976) +2025-08-25,07:31:03 | INFO | Train Epoch: 11 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.15687 (0.13697) Boundary_loss: 0.012809 (0.012826) Loss: 0.16968 (0.14980) +2025-08-25,07:32:08 | INFO | Train Epoch: 11 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.12725 (0.13695) Boundary_loss: 0.012802 (0.012825) Loss: 0.14005 (0.14978) +2025-08-25,07:33:13 | INFO | Train Epoch: 11 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.12106 (0.13692) Boundary_loss: 0.012774 (0.012825) Loss: 0.13383 (0.14975) +2025-08-25,07:34:18 | INFO | Train Epoch: 11 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.14392 (0.13694) Boundary_loss: 0.012829 (0.012825) Loss: 0.15675 (0.14976) +2025-08-25,07:35:23 | INFO | Train Epoch: 11 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.13561 (0.13693) Boundary_loss: 0.012883 (0.012826) Loss: 0.14850 (0.14976) +2025-08-25,07:36:28 | INFO | Train Epoch: 11 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.15436 (0.13697) Boundary_loss: 0.012743 (0.012825) Loss: 0.16710 (0.14979) +2025-08-25,07:37:33 | INFO | Train Epoch: 11 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.12337 (0.13694) Boundary_loss: 0.012784 (0.012825) Loss: 0.13615 (0.14977) +2025-08-25,07:38:38 | INFO | Train Epoch: 11 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.11403 (0.13689) Boundary_loss: 0.012827 (0.012825) Loss: 0.12686 (0.14972) +2025-08-25,07:39:43 | INFO | Train Epoch: 11 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.13687 (0.13689) Boundary_loss: 0.012853 (0.012825) Loss: 0.14972 (0.14972) +2025-08-25,07:40:48 | INFO | Train Epoch: 11 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.12583 (0.13687) Boundary_loss: 0.012725 (0.012825) Loss: 0.13855 (0.14969) +2025-08-25,07:41:54 | INFO | Train Epoch: 11 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.13735 (0.13687) Boundary_loss: 0.012754 (0.012825) Loss: 0.15010 (0.14970) +2025-08-25,07:42:59 | INFO | Train Epoch: 11 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.12386 (0.13684) Boundary_loss: 0.012800 (0.012825) Loss: 0.13666 (0.14967) +2025-08-25,07:44:04 | INFO | Train Epoch: 11 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.10019 (0.13677) Boundary_loss: 0.012858 (0.012825) Loss: 0.11304 (0.14959) +2025-08-25,07:45:09 | INFO | Train Epoch: 11 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.11871 (0.13673) Boundary_loss: 0.012813 (0.012825) Loss: 0.13153 (0.14955) +2025-08-25,07:46:14 | INFO | Train Epoch: 11 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.12399 (0.13670) Boundary_loss: 0.012746 (0.012825) Loss: 0.13674 (0.14953) +2025-08-25,07:47:19 | INFO | Train Epoch: 11 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.099254 (0.13663) Boundary_loss: 0.012795 (0.012825) Loss: 0.11205 (0.14945) +2025-08-25,07:48:24 | INFO | Train Epoch: 11 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.19316 (0.13674) Boundary_loss: 0.012862 (0.012825) Loss: 0.20602 (0.14957) +2025-08-25,07:49:29 | INFO | Train Epoch: 11 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.11493 (0.13670) Boundary_loss: 0.012769 (0.012825) Loss: 0.12770 (0.14952) +2025-08-25,07:50:34 | INFO | Train Epoch: 11 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.13215 (0.13669) Boundary_loss: 0.012836 (0.012825) Loss: 0.14499 (0.14951) +2025-08-25,07:51:39 | INFO | Train Epoch: 11 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.19411 (0.13681) Boundary_loss: 0.012819 (0.012825) Loss: 0.20693 (0.14963) +2025-08-25,07:52:44 | INFO | Train Epoch: 11 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.14319 (0.13682) Boundary_loss: 0.012775 (0.012825) Loss: 0.15596 (0.14964) +2025-08-25,07:53:49 | INFO | Train Epoch: 11 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.13097 (0.13681) Boundary_loss: 0.012852 (0.012825) Loss: 0.14383 (0.14963) +2025-08-25,07:54:54 | INFO | Train Epoch: 11 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.11546 (0.13676) Boundary_loss: 0.012864 (0.012825) Loss: 0.12833 (0.14959) +2025-08-25,07:55:59 | INFO | Train Epoch: 11 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.11513 (0.13672) Boundary_loss: 0.012806 (0.012825) Loss: 0.12794 (0.14954) +2025-08-25,07:57:04 | INFO | Train Epoch: 11 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.14992 (0.13675) Boundary_loss: 0.012718 (0.012824) Loss: 0.16264 (0.14957) +2025-08-25,07:58:09 | INFO | Train Epoch: 11 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.11858 (0.13671) Boundary_loss: 0.012798 (0.012824) Loss: 0.13138 (0.14953) +2025-08-25,07:59:14 | INFO | Train Epoch: 11 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.14617 (0.13673) Boundary_loss: 0.012925 (0.012825) Loss: 0.15909 (0.14955) +2025-08-25,08:00:19 | INFO | Train Epoch: 11 [25395712/26365952 (96%)] Avg Boundaries (per batch): 18.895 Boundary Ratio: 0.096 Contrastive_loss: 0.11058 (0.13668) Boundary_loss: 0.012775 (0.012825) Loss: 0.12336 (0.14950) +2025-08-25,08:01:24 | INFO | Train Epoch: 11 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.15038 (0.13670) Boundary_loss: 0.012739 (0.012824) Loss: 0.16312 (0.14953) +2025-08-25,08:02:29 | INFO | Train Epoch: 11 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.16927 (0.13677) Boundary_loss: 0.012858 (0.012824) Loss: 0.18212 (0.14959) +2025-08-25,08:03:34 | INFO | Train Epoch: 11 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.11525 (0.13673) Boundary_loss: 0.012775 (0.012824) Loss: 0.12803 (0.14955) +2025-08-25,08:04:39 | INFO | Train Epoch: 11 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.097946 (0.13665) Boundary_loss: 0.012832 (0.012824) Loss: 0.11078 (0.14947) +2025-08-25,08:05:44 | INFO | Train Epoch: 11 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.14848 (0.13667) Boundary_loss: 0.012774 (0.012824) Loss: 0.16125 (0.14950) +2025-08-25,08:06:49 | INFO | Train Epoch: 11 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.15339 (0.13671) Boundary_loss: 0.012798 (0.012824) Loss: 0.16619 (0.14953) +2025-08-25,08:07:54 | INFO | Train Epoch: 11 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.17660 (0.13678) Boundary_loss: 0.012890 (0.012824) Loss: 0.18949 (0.14961) +2025-08-25,08:08:59 | INFO | Train Epoch: 11 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.15993 (0.13683) Boundary_loss: 0.012885 (0.012824) Loss: 0.17281 (0.14965) +2025-08-25,08:10:04 | INFO | Train Epoch: 11 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.14649 (0.13685) Boundary_loss: 0.012768 (0.012824) Loss: 0.15925 (0.14967) +2025-08-25,08:11:09 | INFO | Train Epoch: 11 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.14654 (0.13687) Boundary_loss: 0.012775 (0.012824) Loss: 0.15931 (0.14969) +2025-08-25,08:12:15 | INFO | Train Epoch: 11 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.13322 (0.13686) Boundary_loss: 0.012843 (0.012824) Loss: 0.14606 (0.14969) +2025-08-25,08:13:20 | INFO | Train Epoch: 11 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.17357 (0.13693) Boundary_loss: 0.012800 (0.012824) Loss: 0.18637 (0.14976) +2025-08-25,08:14:25 | INFO | Train Epoch: 11 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.14838 (0.13696) Boundary_loss: 0.012850 (0.012824) Loss: 0.16123 (0.14978) +2025-08-25,08:15:30 | INFO | Train Epoch: 11 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.12091 (0.13692) Boundary_loss: 0.012740 (0.012824) Loss: 0.13365 (0.14975) +2025-08-25,08:16:35 | INFO | Train Epoch: 11 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.091510 (0.13684) Boundary_loss: 0.012860 (0.012824) Loss: 0.10437 (0.14966) +2025-08-25,08:17:40 | INFO | Train Epoch: 11 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.12441 (0.13681) Boundary_loss: 0.012735 (0.012824) Loss: 0.13715 (0.14964) +2025-08-25,08:18:45 | INFO | Train Epoch: 11 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.10900 (0.13676) Boundary_loss: 0.012733 (0.012824) Loss: 0.12174 (0.14958) +2025-08-25,08:19:50 | INFO | Train Epoch: 11 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.13539 (0.13675) Boundary_loss: 0.012857 (0.012824) Loss: 0.14824 (0.14958) +2025-08-25,08:20:51 | INFO | Train Epoch: 11 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.12430 (0.13673) Boundary_loss: 0.012739 (0.012824) Loss: 0.13704 (0.14955) +2025-08-25,08:20:51 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-25,08:20:51 | INFO | [Epoch 11] Average Step Time: 0.654s | Average GPU Memory: 37.3 GB +2025-08-25,08:20:51 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-25,08:20:52 | INFO | Starting zero-shot imagenet. +2025-08-25,08:20:52 | INFO | Building zero-shot classifier +2025-08-25,08:21:01 | INFO | Using classifier +2025-08-25,08:21:43 | INFO | Finished zero-shot imagenet. +2025-08-25,08:21:43 | INFO | Eval Epoch: 12 imagenet-zeroshot-val-top1: 0.3098 imagenet-zeroshot-val-top5: 0.5808 +2025-08-25,08:21:45 | INFO | Start epoch 12 +2025-08-25,08:21:47 | INFO | Train Epoch: 12 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.14489 (0.14489) Boundary_loss: 0.012837 (0.012837) Loss: 0.15773 (0.15773) +2025-08-25,08:22:52 | INFO | Train Epoch: 12 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.085531 (0.11521) Boundary_loss: 0.012812 (0.012825) Loss: 0.098344 (0.12804) +2025-08-25,08:23:57 | INFO | Train Epoch: 12 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.13092 (0.12045) Boundary_loss: 0.012745 (0.012798) Loss: 0.14367 (0.13325) +2025-08-25,08:25:01 | INFO | Train Epoch: 12 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.12033 (0.12042) Boundary_loss: 0.012913 (0.012827) Loss: 0.13324 (0.13325) +2025-08-25,08:26:06 | INFO | Train Epoch: 12 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.095081 (0.11535) Boundary_loss: 0.012761 (0.012814) Loss: 0.10784 (0.12816) +2025-08-25,08:27:11 | INFO | Train Epoch: 12 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.15265 (0.12157) Boundary_loss: 0.012750 (0.012803) Loss: 0.16540 (0.13437) +2025-08-25,08:28:16 | INFO | Train Epoch: 12 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.16182 (0.12732) Boundary_loss: 0.012737 (0.012794) Loss: 0.17456 (0.14011) +2025-08-25,08:29:21 | INFO | Train Epoch: 12 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.12915 (0.12755) Boundary_loss: 0.012881 (0.012805) Loss: 0.14203 (0.14035) +2025-08-25,08:30:26 | INFO | Train Epoch: 12 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.11849 (0.12654) Boundary_loss: 0.012761 (0.012800) Loss: 0.13125 (0.13934) +2025-08-25,08:31:31 | INFO | Train Epoch: 12 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.11256 (0.12514) Boundary_loss: 0.012854 (0.012805) Loss: 0.12541 (0.13795) +2025-08-25,08:32:36 | INFO | Train Epoch: 12 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.14212 (0.12669) Boundary_loss: 0.012818 (0.012806) Loss: 0.15494 (0.13949) +2025-08-25,08:33:40 | INFO | Train Epoch: 12 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.12417 (0.12648) Boundary_loss: 0.012801 (0.012806) Loss: 0.13698 (0.13928) +2025-08-25,08:34:45 | INFO | Train Epoch: 12 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 18.916 Boundary Ratio: 0.097 Contrastive_loss: 0.086960 (0.12344) Boundary_loss: 0.012814 (0.012807) Loss: 0.099774 (0.13624) +2025-08-25,08:35:50 | INFO | Train Epoch: 12 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.088690 (0.12096) Boundary_loss: 0.012828 (0.012808) Loss: 0.10152 (0.13376) +2025-08-25,08:36:55 | INFO | Train Epoch: 12 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.10732 (0.12005) Boundary_loss: 0.012844 (0.012811) Loss: 0.12016 (0.13286) +2025-08-25,08:38:00 | INFO | Train Epoch: 12 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.11520 (0.11974) Boundary_loss: 0.012780 (0.012809) Loss: 0.12798 (0.13255) +2025-08-25,08:39:05 | INFO | Train Epoch: 12 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.071053 (0.11688) Boundary_loss: 0.012801 (0.012808) Loss: 0.083854 (0.12969) +2025-08-25,08:40:09 | INFO | Train Epoch: 12 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.10660 (0.11631) Boundary_loss: 0.012816 (0.012809) Loss: 0.11941 (0.12912) +2025-08-25,08:41:14 | INFO | Train Epoch: 12 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.14588 (0.11786) Boundary_loss: 0.012820 (0.012809) Loss: 0.15870 (0.13067) +2025-08-25,08:42:19 | INFO | Train Epoch: 12 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.13011 (0.11848) Boundary_loss: 0.012845 (0.012811) Loss: 0.14296 (0.13129) +2025-08-25,08:43:24 | INFO | Train Epoch: 12 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.082330 (0.11676) Boundary_loss: 0.012832 (0.012812) Loss: 0.095162 (0.12957) +2025-08-25,08:44:29 | INFO | Train Epoch: 12 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.10030 (0.11601) Boundary_loss: 0.012846 (0.012814) Loss: 0.11315 (0.12882) +2025-08-25,08:45:34 | INFO | Train Epoch: 12 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.11105 (0.11579) Boundary_loss: 0.012818 (0.012814) Loss: 0.12387 (0.12861) +2025-08-25,08:46:39 | INFO | Train Epoch: 12 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.11784 (0.11588) Boundary_loss: 0.012834 (0.012815) Loss: 0.13068 (0.12869) +2025-08-25,08:47:44 | INFO | Train Epoch: 12 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.11498 (0.11584) Boundary_loss: 0.012845 (0.012816) Loss: 0.12782 (0.12866) +2025-08-25,08:48:48 | INFO | Train Epoch: 12 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.13116 (0.11643) Boundary_loss: 0.012863 (0.012818) Loss: 0.14402 (0.12925) +2025-08-25,08:49:53 | INFO | Train Epoch: 12 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.089618 (0.11544) Boundary_loss: 0.012870 (0.012820) Loss: 0.10249 (0.12826) +2025-08-25,08:50:58 | INFO | Train Epoch: 12 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.085716 (0.11438) Boundary_loss: 0.012810 (0.012819) Loss: 0.098525 (0.12720) +2025-08-25,08:52:03 | INFO | Train Epoch: 12 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.12426 (0.11472) Boundary_loss: 0.012787 (0.012818) Loss: 0.13704 (0.12753) +2025-08-25,08:53:08 | INFO | Train Epoch: 12 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.11766 (0.11481) Boundary_loss: 0.012800 (0.012817) Loss: 0.13046 (0.12763) +2025-08-25,08:54:13 | INFO | Train Epoch: 12 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.092552 (0.11410) Boundary_loss: 0.012775 (0.012816) Loss: 0.10533 (0.12691) +2025-08-25,08:55:17 | INFO | Train Epoch: 12 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.10897 (0.11394) Boundary_loss: 0.012804 (0.012816) Loss: 0.12178 (0.12675) +2025-08-25,08:56:22 | INFO | Train Epoch: 12 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.13907 (0.11470) Boundary_loss: 0.012875 (0.012818) Loss: 0.15194 (0.12752) +2025-08-25,08:57:27 | INFO | Train Epoch: 12 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.10529 (0.11442) Boundary_loss: 0.012845 (0.012818) Loss: 0.11814 (0.12724) +2025-08-25,08:58:32 | INFO | Train Epoch: 12 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.12965 (0.11486) Boundary_loss: 0.012760 (0.012817) Loss: 0.14241 (0.12767) +2025-08-25,08:59:37 | INFO | Train Epoch: 12 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.12353 (0.11510) Boundary_loss: 0.012837 (0.012817) Loss: 0.13637 (0.12792) +2025-08-25,09:00:42 | INFO | Train Epoch: 12 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.10893 (0.11493) Boundary_loss: 0.012799 (0.012817) Loss: 0.12173 (0.12775) +2025-08-25,09:01:47 | INFO | Train Epoch: 12 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.11332 (0.11489) Boundary_loss: 0.012942 (0.012820) Loss: 0.12626 (0.12771) +2025-08-25,09:02:51 | INFO | Train Epoch: 12 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.15448 (0.11590) Boundary_loss: 0.012833 (0.012820) Loss: 0.16731 (0.12872) +2025-08-25,09:03:56 | INFO | Train Epoch: 12 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.12512 (0.11613) Boundary_loss: 0.012795 (0.012820) Loss: 0.13792 (0.12895) +2025-08-25,09:05:01 | INFO | Train Epoch: 12 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.099480 (0.11573) Boundary_loss: 0.012802 (0.012819) Loss: 0.11228 (0.12855) +2025-08-25,09:06:06 | INFO | Train Epoch: 12 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.081424 (0.11491) Boundary_loss: 0.012787 (0.012819) Loss: 0.094212 (0.12773) +2025-08-25,09:07:11 | INFO | Train Epoch: 12 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.13753 (0.11544) Boundary_loss: 0.012898 (0.012820) Loss: 0.15043 (0.12826) +2025-08-25,09:08:16 | INFO | Train Epoch: 12 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.14246 (0.11605) Boundary_loss: 0.012838 (0.012821) Loss: 0.15530 (0.12887) +2025-08-25,09:09:21 | INFO | Train Epoch: 12 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.14719 (0.11674) Boundary_loss: 0.012856 (0.012822) Loss: 0.16005 (0.12957) +2025-08-25,09:10:25 | INFO | Train Epoch: 12 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.10279 (0.11644) Boundary_loss: 0.012935 (0.012824) Loss: 0.11572 (0.12926) +2025-08-25,09:11:30 | INFO | Train Epoch: 12 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.10713 (0.11624) Boundary_loss: 0.012822 (0.012824) Loss: 0.11995 (0.12907) +2025-08-25,09:12:35 | INFO | Train Epoch: 12 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.10268 (0.11596) Boundary_loss: 0.012819 (0.012824) Loss: 0.11550 (0.12878) +2025-08-25,09:13:40 | INFO | Train Epoch: 12 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.10074 (0.11565) Boundary_loss: 0.012807 (0.012824) Loss: 0.11355 (0.12847) +2025-08-25,09:14:45 | INFO | Train Epoch: 12 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.12202 (0.11578) Boundary_loss: 0.012816 (0.012823) Loss: 0.13483 (0.12860) +2025-08-25,09:15:50 | INFO | Train Epoch: 12 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.11060 (0.11567) Boundary_loss: 0.012745 (0.012822) Loss: 0.12335 (0.12850) +2025-08-25,09:16:55 | INFO | Train Epoch: 12 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.14107 (0.11616) Boundary_loss: 0.012807 (0.012822) Loss: 0.15388 (0.12898) +2025-08-25,09:18:00 | INFO | Train Epoch: 12 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.084517 (0.11557) Boundary_loss: 0.012806 (0.012821) Loss: 0.097323 (0.12839) +2025-08-25,09:19:05 | INFO | Train Epoch: 12 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.12314 (0.11571) Boundary_loss: 0.012755 (0.012820) Loss: 0.13589 (0.12853) +2025-08-25,09:20:10 | INFO | Train Epoch: 12 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.10054 (0.11543) Boundary_loss: 0.012790 (0.012819) Loss: 0.11333 (0.12825) +2025-08-25,09:21:14 | INFO | Train Epoch: 12 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.15311 (0.11610) Boundary_loss: 0.012789 (0.012819) Loss: 0.16589 (0.12892) +2025-08-25,09:22:19 | INFO | Train Epoch: 12 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.12942 (0.11634) Boundary_loss: 0.012724 (0.012817) Loss: 0.14214 (0.12915) +2025-08-25,09:23:24 | INFO | Train Epoch: 12 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.12689 (0.11652) Boundary_loss: 0.012801 (0.012817) Loss: 0.13970 (0.12934) +2025-08-25,09:24:29 | INFO | Train Epoch: 12 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.092461 (0.11611) Boundary_loss: 0.012781 (0.012816) Loss: 0.10524 (0.12893) +2025-08-25,09:25:34 | INFO | Train Epoch: 12 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.096669 (0.11579) Boundary_loss: 0.012857 (0.012817) Loss: 0.10953 (0.12860) +2025-08-25,09:26:39 | INFO | Train Epoch: 12 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.11191 (0.11572) Boundary_loss: 0.012728 (0.012816) Loss: 0.12464 (0.12854) +2025-08-25,09:27:44 | INFO | Train Epoch: 12 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.11900 (0.11578) Boundary_loss: 0.012889 (0.012817) Loss: 0.13189 (0.12859) +2025-08-25,09:28:49 | INFO | Train Epoch: 12 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.11980 (0.11584) Boundary_loss: 0.012899 (0.012818) Loss: 0.13270 (0.12866) +2025-08-25,09:29:54 | INFO | Train Epoch: 12 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.095958 (0.11553) Boundary_loss: 0.012853 (0.012819) Loss: 0.10881 (0.12835) +2025-08-25,09:30:58 | INFO | Train Epoch: 12 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.095986 (0.11523) Boundary_loss: 0.012854 (0.012819) Loss: 0.10884 (0.12805) +2025-08-25,09:32:03 | INFO | Train Epoch: 12 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.10201 (0.11503) Boundary_loss: 0.012731 (0.012818) Loss: 0.11474 (0.12785) +2025-08-25,09:33:08 | INFO | Train Epoch: 12 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.12983 (0.11525) Boundary_loss: 0.012768 (0.012817) Loss: 0.14260 (0.12807) +2025-08-25,09:34:13 | INFO | Train Epoch: 12 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.14316 (0.11566) Boundary_loss: 0.012896 (0.012818) Loss: 0.15606 (0.12848) +2025-08-25,09:35:18 | INFO | Train Epoch: 12 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.13039 (0.11587) Boundary_loss: 0.012766 (0.012818) Loss: 0.14316 (0.12869) +2025-08-25,09:36:23 | INFO | Train Epoch: 12 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.099965 (0.11565) Boundary_loss: 0.012876 (0.012818) Loss: 0.11284 (0.12846) +2025-08-25,09:37:28 | INFO | Train Epoch: 12 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.12616 (0.11579) Boundary_loss: 0.012693 (0.012817) Loss: 0.13885 (0.12861) +2025-08-25,09:38:33 | INFO | Train Epoch: 12 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.12425 (0.11591) Boundary_loss: 0.012755 (0.012816) Loss: 0.13701 (0.12873) +2025-08-25,09:39:38 | INFO | Train Epoch: 12 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.084343 (0.11548) Boundary_loss: 0.012830 (0.012816) Loss: 0.097173 (0.12830) +2025-08-25,09:40:43 | INFO | Train Epoch: 12 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.10275 (0.11531) Boundary_loss: 0.012862 (0.012817) Loss: 0.11561 (0.12812) +2025-08-25,09:41:48 | INFO | Train Epoch: 12 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.097121 (0.11506) Boundary_loss: 0.012791 (0.012816) Loss: 0.10991 (0.12788) +2025-08-25,09:42:53 | INFO | Train Epoch: 12 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.11176 (0.11502) Boundary_loss: 0.012776 (0.012816) Loss: 0.12454 (0.12784) +2025-08-25,09:43:58 | INFO | Train Epoch: 12 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.093624 (0.11474) Boundary_loss: 0.012786 (0.012815) Loss: 0.10641 (0.12756) +2025-08-25,09:45:02 | INFO | Train Epoch: 12 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.10573 (0.11463) Boundary_loss: 0.012884 (0.012816) Loss: 0.11861 (0.12744) +2025-08-25,09:46:07 | INFO | Train Epoch: 12 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.11985 (0.11469) Boundary_loss: 0.012831 (0.012816) Loss: 0.13268 (0.12751) +2025-08-25,09:47:12 | INFO | Train Epoch: 12 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.11921 (0.11475) Boundary_loss: 0.012832 (0.012817) Loss: 0.13204 (0.12757) +2025-08-25,09:48:17 | INFO | Train Epoch: 12 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.11574 (0.11476) Boundary_loss: 0.012752 (0.012816) Loss: 0.12850 (0.12758) +2025-08-25,09:49:22 | INFO | Train Epoch: 12 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.10881 (0.11469) Boundary_loss: 0.012739 (0.012815) Loss: 0.12155 (0.12750) +2025-08-25,09:50:27 | INFO | Train Epoch: 12 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.10938 (0.11463) Boundary_loss: 0.012843 (0.012815) Loss: 0.12222 (0.12744) +2025-08-25,09:51:32 | INFO | Train Epoch: 12 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.13006 (0.11481) Boundary_loss: 0.012880 (0.012816) Loss: 0.14294 (0.12763) +2025-08-25,09:52:37 | INFO | Train Epoch: 12 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.086425 (0.11448) Boundary_loss: 0.012789 (0.012816) Loss: 0.099214 (0.12729) +2025-08-25,09:53:42 | INFO | Train Epoch: 12 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.11980 (0.11454) Boundary_loss: 0.012763 (0.012815) Loss: 0.13257 (0.12735) +2025-08-25,09:54:47 | INFO | Train Epoch: 12 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.15711 (0.11503) Boundary_loss: 0.012865 (0.012816) Loss: 0.16998 (0.12784) +2025-08-25,09:55:52 | INFO | Train Epoch: 12 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.10756 (0.11494) Boundary_loss: 0.012731 (0.012815) Loss: 0.12029 (0.12776) +2025-08-25,09:56:57 | INFO | Train Epoch: 12 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.089488 (0.11466) Boundary_loss: 0.012862 (0.012815) Loss: 0.10235 (0.12747) +2025-08-25,09:58:02 | INFO | Train Epoch: 12 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.10131 (0.11451) Boundary_loss: 0.012755 (0.012815) Loss: 0.11407 (0.12732) +2025-08-25,09:59:07 | INFO | Train Epoch: 12 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.11144 (0.11447) Boundary_loss: 0.012706 (0.012813) Loss: 0.12415 (0.12729) +2025-08-25,10:00:12 | INFO | Train Epoch: 12 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.11059 (0.11443) Boundary_loss: 0.012805 (0.012813) Loss: 0.12340 (0.12725) +2025-08-25,10:01:16 | INFO | Train Epoch: 12 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.097828 (0.11425) Boundary_loss: 0.012823 (0.012813) Loss: 0.11065 (0.12707) +2025-08-25,10:02:21 | INFO | Train Epoch: 12 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.089691 (0.11399) Boundary_loss: 0.012852 (0.012814) Loss: 0.10254 (0.12681) +2025-08-25,10:03:26 | INFO | Train Epoch: 12 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.14016 (0.11427) Boundary_loss: 0.012747 (0.012813) Loss: 0.15290 (0.12708) +2025-08-25,10:04:31 | INFO | Train Epoch: 12 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.12179 (0.11435) Boundary_loss: 0.012835 (0.012813) Loss: 0.13463 (0.12716) +2025-08-25,10:05:36 | INFO | Train Epoch: 12 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.097962 (0.11418) Boundary_loss: 0.012871 (0.012814) Loss: 0.11083 (0.12699) +2025-08-25,10:06:41 | INFO | Train Epoch: 12 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.11932 (0.11423) Boundary_loss: 0.012770 (0.012813) Loss: 0.13209 (0.12704) +2025-08-25,10:07:46 | INFO | Train Epoch: 12 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.086533 (0.11395) Boundary_loss: 0.012801 (0.012813) Loss: 0.099334 (0.12676) +2025-08-25,10:08:51 | INFO | Train Epoch: 12 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.13456 (0.11416) Boundary_loss: 0.012788 (0.012813) Loss: 0.14735 (0.12697) +2025-08-25,10:09:56 | INFO | Train Epoch: 12 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.12593 (0.11427) Boundary_loss: 0.012851 (0.012813) Loss: 0.13878 (0.12709) +2025-08-25,10:11:01 | INFO | Train Epoch: 12 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.10397 (0.11417) Boundary_loss: 0.012828 (0.012814) Loss: 0.11680 (0.12699) +2025-08-25,10:12:06 | INFO | Train Epoch: 12 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.10279 (0.11406) Boundary_loss: 0.012834 (0.012814) Loss: 0.11563 (0.12688) +2025-08-25,10:13:11 | INFO | Train Epoch: 12 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.094643 (0.11387) Boundary_loss: 0.012853 (0.012814) Loss: 0.10750 (0.12669) +2025-08-25,10:14:16 | INFO | Train Epoch: 12 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.13139 (0.11404) Boundary_loss: 0.012865 (0.012815) Loss: 0.14426 (0.12686) +2025-08-25,10:15:21 | INFO | Train Epoch: 12 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.600 Boundary Ratio: 0.100 Contrastive_loss: 0.088281 (0.11380) Boundary_loss: 0.012940 (0.012816) Loss: 0.10122 (0.12661) +2025-08-25,10:16:26 | INFO | Train Epoch: 12 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.077327 (0.11346) Boundary_loss: 0.012766 (0.012815) Loss: 0.090093 (0.12627) +2025-08-25,10:17:31 | INFO | Train Epoch: 12 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.12354 (0.11355) Boundary_loss: 0.012747 (0.012815) Loss: 0.13629 (0.12637) +2025-08-25,10:18:36 | INFO | Train Epoch: 12 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.11661 (0.11358) Boundary_loss: 0.012720 (0.012814) Loss: 0.12933 (0.12639) +2025-08-25,10:19:41 | INFO | Train Epoch: 12 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 0.10907 (0.11354) Boundary_loss: 0.012863 (0.012814) Loss: 0.12193 (0.12635) +2025-08-25,10:20:46 | INFO | Train Epoch: 12 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.12571 (0.11365) Boundary_loss: 0.012805 (0.012814) Loss: 0.13851 (0.12646) +2025-08-25,10:21:51 | INFO | Train Epoch: 12 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.11518 (0.11366) Boundary_loss: 0.012821 (0.012814) Loss: 0.12801 (0.12648) +2025-08-25,10:22:56 | INFO | Train Epoch: 12 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.089336 (0.11345) Boundary_loss: 0.012800 (0.012814) Loss: 0.10214 (0.12626) +2025-08-25,10:24:01 | INFO | Train Epoch: 12 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.10138 (0.11334) Boundary_loss: 0.012832 (0.012814) Loss: 0.11421 (0.12615) +2025-08-25,10:25:06 | INFO | Train Epoch: 12 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.093581 (0.11317) Boundary_loss: 0.012922 (0.012815) Loss: 0.10650 (0.12598) +2025-08-25,10:26:11 | INFO | Train Epoch: 12 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.099479 (0.11305) Boundary_loss: 0.012751 (0.012815) Loss: 0.11223 (0.12587) +2025-08-25,10:27:16 | INFO | Train Epoch: 12 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.10168 (0.11295) Boundary_loss: 0.012868 (0.012815) Loss: 0.11455 (0.12577) +2025-08-25,10:28:21 | INFO | Train Epoch: 12 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.082822 (0.11270) Boundary_loss: 0.012766 (0.012815) Loss: 0.095588 (0.12551) +2025-08-25,10:29:26 | INFO | Train Epoch: 12 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.10194 (0.11261) Boundary_loss: 0.012753 (0.012814) Loss: 0.11469 (0.12542) +2025-08-25,10:30:31 | INFO | Train Epoch: 12 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.12571 (0.11272) Boundary_loss: 0.012905 (0.012815) Loss: 0.13862 (0.12553) +2025-08-25,10:31:36 | INFO | Train Epoch: 12 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.099173 (0.11260) Boundary_loss: 0.012806 (0.012815) Loss: 0.11198 (0.12542) +2025-08-25,10:32:41 | INFO | Train Epoch: 12 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.11243 (0.11260) Boundary_loss: 0.012858 (0.012815) Loss: 0.12529 (0.12542) +2025-08-25,10:33:46 | INFO | Train Epoch: 12 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.12544 (0.11271) Boundary_loss: 0.012795 (0.012815) Loss: 0.13824 (0.12552) +2025-08-25,10:34:51 | INFO | Train Epoch: 12 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.094169 (0.11256) Boundary_loss: 0.012831 (0.012815) Loss: 0.10700 (0.12537) +2025-08-25,10:35:56 | INFO | Train Epoch: 12 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.10980 (0.11254) Boundary_loss: 0.012808 (0.012815) Loss: 0.12261 (0.12535) +2025-08-25,10:37:01 | INFO | Train Epoch: 12 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.10133 (0.11245) Boundary_loss: 0.012761 (0.012815) Loss: 0.11409 (0.12526) +2025-08-25,10:38:06 | INFO | Train Epoch: 12 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.098736 (0.11234) Boundary_loss: 0.012842 (0.012815) Loss: 0.11158 (0.12515) +2025-08-25,10:39:11 | INFO | Train Epoch: 12 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.12520 (0.11244) Boundary_loss: 0.012746 (0.012814) Loss: 0.13795 (0.12525) +2025-08-25,10:40:16 | INFO | Train Epoch: 12 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.082117 (0.11220) Boundary_loss: 0.012840 (0.012815) Loss: 0.094957 (0.12502) +2025-08-25,10:41:21 | INFO | Train Epoch: 12 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.088264 (0.11202) Boundary_loss: 0.012896 (0.012815) Loss: 0.10116 (0.12484) +2025-08-25,10:42:26 | INFO | Train Epoch: 12 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 18.955 Boundary Ratio: 0.097 Contrastive_loss: 0.12998 (0.11216) Boundary_loss: 0.012847 (0.012815) Loss: 0.14283 (0.12497) +2025-08-25,10:43:31 | INFO | Train Epoch: 12 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.11046 (0.11214) Boundary_loss: 0.012831 (0.012816) Loss: 0.12330 (0.12496) +2025-08-25,10:44:36 | INFO | Train Epoch: 12 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.12191 (0.11222) Boundary_loss: 0.012891 (0.012816) Loss: 0.13480 (0.12503) +2025-08-25,10:45:41 | INFO | Train Epoch: 12 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.089615 (0.11205) Boundary_loss: 0.012806 (0.012816) Loss: 0.10242 (0.12487) +2025-08-25,10:46:46 | INFO | Train Epoch: 12 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.089925 (0.11189) Boundary_loss: 0.012795 (0.012816) Loss: 0.10272 (0.12470) +2025-08-25,10:47:51 | INFO | Train Epoch: 12 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.11690 (0.11192) Boundary_loss: 0.012809 (0.012816) Loss: 0.12971 (0.12474) +2025-08-25,10:48:56 | INFO | Train Epoch: 12 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.11684 (0.11196) Boundary_loss: 0.012851 (0.012816) Loss: 0.12969 (0.12477) +2025-08-25,10:50:01 | INFO | Train Epoch: 12 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.096579 (0.11185) Boundary_loss: 0.012811 (0.012816) Loss: 0.10939 (0.12466) +2025-08-25,10:51:06 | INFO | Train Epoch: 12 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.10025 (0.11176) Boundary_loss: 0.012816 (0.012816) Loss: 0.11307 (0.12458) +2025-08-25,10:52:11 | INFO | Train Epoch: 12 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.14967 (0.11203) Boundary_loss: 0.012838 (0.012816) Loss: 0.16251 (0.12485) +2025-08-25,10:53:16 | INFO | Train Epoch: 12 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.13544 (0.11220) Boundary_loss: 0.012834 (0.012816) Loss: 0.14828 (0.12502) +2025-08-25,10:54:21 | INFO | Train Epoch: 12 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.11431 (0.11222) Boundary_loss: 0.012843 (0.012817) Loss: 0.12716 (0.12503) +2025-08-25,10:55:26 | INFO | Train Epoch: 12 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.11824 (0.11226) Boundary_loss: 0.012810 (0.012816) Loss: 0.13105 (0.12507) +2025-08-25,10:56:31 | INFO | Train Epoch: 12 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.11849 (0.11230) Boundary_loss: 0.012799 (0.012816) Loss: 0.13129 (0.12512) +2025-08-25,10:57:36 | INFO | Train Epoch: 12 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.17029 (0.11270) Boundary_loss: 0.012827 (0.012816) Loss: 0.18312 (0.12552) +2025-08-25,10:58:41 | INFO | Train Epoch: 12 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.076136 (0.11245) Boundary_loss: 0.012768 (0.012816) Loss: 0.088904 (0.12527) +2025-08-25,10:59:46 | INFO | Train Epoch: 12 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.11055 (0.11244) Boundary_loss: 0.012789 (0.012816) Loss: 0.12334 (0.12525) +2025-08-25,11:00:51 | INFO | Train Epoch: 12 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.11960 (0.11249) Boundary_loss: 0.012824 (0.012816) Loss: 0.13243 (0.12530) +2025-08-25,11:01:56 | INFO | Train Epoch: 12 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.10116 (0.11241) Boundary_loss: 0.012796 (0.012816) Loss: 0.11396 (0.12523) +2025-08-25,11:03:01 | INFO | Train Epoch: 12 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.11030 (0.11240) Boundary_loss: 0.012861 (0.012816) Loss: 0.12316 (0.12521) +2025-08-25,11:04:06 | INFO | Train Epoch: 12 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.12058 (0.11245) Boundary_loss: 0.012679 (0.012815) Loss: 0.13326 (0.12527) +2025-08-25,11:05:11 | INFO | Train Epoch: 12 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.11595 (0.11247) Boundary_loss: 0.012859 (0.012816) Loss: 0.12881 (0.12529) +2025-08-25,11:06:16 | INFO | Train Epoch: 12 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.10528 (0.11243) Boundary_loss: 0.012843 (0.012816) Loss: 0.11812 (0.12524) +2025-08-25,11:07:21 | INFO | Train Epoch: 12 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.12230 (0.11249) Boundary_loss: 0.012828 (0.012816) Loss: 0.13513 (0.12531) +2025-08-25,11:08:26 | INFO | Train Epoch: 12 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.12308 (0.11256) Boundary_loss: 0.012815 (0.012816) Loss: 0.13590 (0.12537) +2025-08-25,11:09:31 | INFO | Train Epoch: 12 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.080829 (0.11236) Boundary_loss: 0.012770 (0.012815) Loss: 0.093599 (0.12517) +2025-08-25,11:10:36 | INFO | Train Epoch: 12 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.11941 (0.11240) Boundary_loss: 0.012711 (0.012815) Loss: 0.13213 (0.12521) +2025-08-25,11:11:41 | INFO | Train Epoch: 12 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.14474 (0.11260) Boundary_loss: 0.012770 (0.012815) Loss: 0.15751 (0.12542) +2025-08-25,11:12:46 | INFO | Train Epoch: 12 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.11284 (0.11261) Boundary_loss: 0.012883 (0.012815) Loss: 0.12573 (0.12542) +2025-08-25,11:13:51 | INFO | Train Epoch: 12 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.087631 (0.11245) Boundary_loss: 0.012827 (0.012815) Loss: 0.10046 (0.12527) +2025-08-25,11:14:56 | INFO | Train Epoch: 12 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.10627 (0.11241) Boundary_loss: 0.012784 (0.012815) Loss: 0.11905 (0.12523) +2025-08-25,11:16:01 | INFO | Train Epoch: 12 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.090506 (0.11228) Boundary_loss: 0.012822 (0.012815) Loss: 0.10333 (0.12509) +2025-08-25,11:17:06 | INFO | Train Epoch: 12 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.10163 (0.11221) Boundary_loss: 0.012915 (0.012816) Loss: 0.11455 (0.12503) +2025-08-25,11:18:11 | INFO | Train Epoch: 12 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.088334 (0.11207) Boundary_loss: 0.012829 (0.012816) Loss: 0.10116 (0.12488) +2025-08-25,11:19:16 | INFO | Train Epoch: 12 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.094498 (0.11196) Boundary_loss: 0.012760 (0.012815) Loss: 0.10726 (0.12477) +2025-08-25,11:20:21 | INFO | Train Epoch: 12 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.10411 (0.11191) Boundary_loss: 0.012802 (0.012815) Loss: 0.11692 (0.12473) +2025-08-25,11:21:26 | INFO | Train Epoch: 12 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.12460 (0.11199) Boundary_loss: 0.012764 (0.012815) Loss: 0.13737 (0.12480) +2025-08-25,11:22:31 | INFO | Train Epoch: 12 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.12847 (0.11209) Boundary_loss: 0.012878 (0.012815) Loss: 0.14135 (0.12490) +2025-08-25,11:23:36 | INFO | Train Epoch: 12 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.12583 (0.11217) Boundary_loss: 0.012770 (0.012815) Loss: 0.13860 (0.12498) +2025-08-25,11:24:41 | INFO | Train Epoch: 12 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.083490 (0.11200) Boundary_loss: 0.012805 (0.012815) Loss: 0.096295 (0.12481) +2025-08-25,11:25:46 | INFO | Train Epoch: 12 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.088060 (0.11186) Boundary_loss: 0.012845 (0.012815) Loss: 0.10090 (0.12467) +2025-08-25,11:26:51 | INFO | Train Epoch: 12 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.15952 (0.11214) Boundary_loss: 0.012828 (0.012815) Loss: 0.17235 (0.12495) +2025-08-25,11:27:56 | INFO | Train Epoch: 12 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.12552 (0.11221) Boundary_loss: 0.012830 (0.012815) Loss: 0.13835 (0.12503) +2025-08-25,11:29:01 | INFO | Train Epoch: 12 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.10573 (0.11218) Boundary_loss: 0.012838 (0.012815) Loss: 0.11857 (0.12499) +2025-08-25,11:30:06 | INFO | Train Epoch: 12 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.11180 (0.11217) Boundary_loss: 0.012793 (0.012815) Loss: 0.12459 (0.12499) +2025-08-25,11:31:11 | INFO | Train Epoch: 12 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.11873 (0.11221) Boundary_loss: 0.012769 (0.012815) Loss: 0.13149 (0.12503) +2025-08-25,11:32:16 | INFO | Train Epoch: 12 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.098918 (0.11214) Boundary_loss: 0.012747 (0.012815) Loss: 0.11166 (0.12495) +2025-08-25,11:33:21 | INFO | Train Epoch: 12 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.10722 (0.11211) Boundary_loss: 0.012743 (0.012814) Loss: 0.11997 (0.12492) +2025-08-25,11:34:26 | INFO | Train Epoch: 12 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.10815 (0.11209) Boundary_loss: 0.012788 (0.012814) Loss: 0.12094 (0.12490) +2025-08-25,11:35:31 | INFO | Train Epoch: 12 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.10893 (0.11207) Boundary_loss: 0.012821 (0.012814) Loss: 0.12175 (0.12488) +2025-08-25,11:36:36 | INFO | Train Epoch: 12 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.099676 (0.11200) Boundary_loss: 0.012781 (0.012814) Loss: 0.11246 (0.12481) +2025-08-25,11:37:41 | INFO | Train Epoch: 12 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.097593 (0.11192) Boundary_loss: 0.012738 (0.012814) Loss: 0.11033 (0.12473) +2025-08-25,11:38:46 | INFO | Train Epoch: 12 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.080009 (0.11175) Boundary_loss: 0.012791 (0.012813) Loss: 0.092800 (0.12456) +2025-08-25,11:39:51 | INFO | Train Epoch: 12 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.10465 (0.11171) Boundary_loss: 0.012796 (0.012813) Loss: 0.11745 (0.12452) +2025-08-25,11:40:56 | INFO | Train Epoch: 12 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.075512 (0.11151) Boundary_loss: 0.012722 (0.012813) Loss: 0.088234 (0.12433) +2025-08-25,11:42:01 | INFO | Train Epoch: 12 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.11543 (0.11153) Boundary_loss: 0.012794 (0.012813) Loss: 0.12823 (0.12435) +2025-08-25,11:43:06 | INFO | Train Epoch: 12 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.11278 (0.11154) Boundary_loss: 0.012965 (0.012814) Loss: 0.12575 (0.12435) +2025-08-25,11:44:11 | INFO | Train Epoch: 12 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.086906 (0.11141) Boundary_loss: 0.012842 (0.012814) Loss: 0.099747 (0.12422) +2025-08-25,11:45:16 | INFO | Train Epoch: 12 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.10913 (0.11140) Boundary_loss: 0.012863 (0.012814) Loss: 0.12199 (0.12421) +2025-08-25,11:46:21 | INFO | Train Epoch: 12 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.099171 (0.11133) Boundary_loss: 0.012787 (0.012814) Loss: 0.11196 (0.12415) +2025-08-25,11:47:26 | INFO | Train Epoch: 12 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.10354 (0.11129) Boundary_loss: 0.012874 (0.012814) Loss: 0.11641 (0.12411) +2025-08-25,11:48:31 | INFO | Train Epoch: 12 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.10242 (0.11125) Boundary_loss: 0.012817 (0.012814) Loss: 0.11524 (0.12406) +2025-08-25,11:49:36 | INFO | Train Epoch: 12 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.11172 (0.11125) Boundary_loss: 0.012737 (0.012814) Loss: 0.12446 (0.12406) +2025-08-25,11:50:41 | INFO | Train Epoch: 12 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.13753 (0.11138) Boundary_loss: 0.012811 (0.012814) Loss: 0.15034 (0.12420) +2025-08-25,11:51:46 | INFO | Train Epoch: 12 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.10037 (0.11133) Boundary_loss: 0.012752 (0.012813) Loss: 0.11312 (0.12414) +2025-08-25,11:52:51 | INFO | Train Epoch: 12 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.13277 (0.11144) Boundary_loss: 0.012824 (0.012813) Loss: 0.14560 (0.12425) +2025-08-25,11:53:56 | INFO | Train Epoch: 12 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.10111 (0.11138) Boundary_loss: 0.012879 (0.012814) Loss: 0.11399 (0.12420) +2025-08-25,11:55:01 | INFO | Train Epoch: 12 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.12463 (0.11145) Boundary_loss: 0.012892 (0.012814) Loss: 0.13752 (0.12427) +2025-08-25,11:56:06 | INFO | Train Epoch: 12 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.12170 (0.11150) Boundary_loss: 0.012931 (0.012815) Loss: 0.13463 (0.12432) +2025-08-25,11:57:11 | INFO | Train Epoch: 12 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.096347 (0.11143) Boundary_loss: 0.012844 (0.012815) Loss: 0.10919 (0.12424) +2025-08-25,11:58:16 | INFO | Train Epoch: 12 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.089452 (0.11132) Boundary_loss: 0.012771 (0.012815) Loss: 0.10222 (0.12413) +2025-08-25,11:59:21 | INFO | Train Epoch: 12 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.10021 (0.11126) Boundary_loss: 0.012762 (0.012814) Loss: 0.11298 (0.12408) +2025-08-25,12:00:26 | INFO | Train Epoch: 12 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.13255 (0.11137) Boundary_loss: 0.012736 (0.012814) Loss: 0.14528 (0.12418) +2025-08-25,12:01:31 | INFO | Train Epoch: 12 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.10913 (0.11136) Boundary_loss: 0.012839 (0.012814) Loss: 0.12197 (0.12417) +2025-08-25,12:02:36 | INFO | Train Epoch: 12 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.098080 (0.11129) Boundary_loss: 0.012784 (0.012814) Loss: 0.11086 (0.12411) +2025-08-25,12:03:41 | INFO | Train Epoch: 12 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.11213 (0.11130) Boundary_loss: 0.012755 (0.012814) Loss: 0.12489 (0.12411) +2025-08-25,12:04:46 | INFO | Train Epoch: 12 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.11511 (0.11131) Boundary_loss: 0.012858 (0.012814) Loss: 0.12797 (0.12413) +2025-08-25,12:05:51 | INFO | Train Epoch: 12 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.077481 (0.11115) Boundary_loss: 0.012750 (0.012814) Loss: 0.090230 (0.12396) +2025-08-25,12:06:56 | INFO | Train Epoch: 12 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.14006 (0.11129) Boundary_loss: 0.012941 (0.012814) Loss: 0.15300 (0.12410) +2025-08-25,12:08:01 | INFO | Train Epoch: 12 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.11732 (0.11132) Boundary_loss: 0.012863 (0.012814) Loss: 0.13018 (0.12413) +2025-08-25,12:09:06 | INFO | Train Epoch: 12 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.12020 (0.11136) Boundary_loss: 0.012874 (0.012815) Loss: 0.13307 (0.12418) +2025-08-25,12:10:11 | INFO | Train Epoch: 12 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.14028 (0.11150) Boundary_loss: 0.012844 (0.012815) Loss: 0.15313 (0.12431) +2025-08-25,12:11:16 | INFO | Train Epoch: 12 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.17048 (0.11177) Boundary_loss: 0.012929 (0.012815) Loss: 0.18341 (0.12459) +2025-08-25,12:12:21 | INFO | Train Epoch: 12 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.12252 (0.11182) Boundary_loss: 0.012715 (0.012815) Loss: 0.13524 (0.12464) +2025-08-25,12:13:26 | INFO | Train Epoch: 12 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.11045 (0.11182) Boundary_loss: 0.012764 (0.012815) Loss: 0.12321 (0.12463) +2025-08-25,12:14:31 | INFO | Train Epoch: 12 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.095961 (0.11174) Boundary_loss: 0.012751 (0.012814) Loss: 0.10871 (0.12456) +2025-08-25,12:15:36 | INFO | Train Epoch: 12 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.084468 (0.11162) Boundary_loss: 0.012819 (0.012814) Loss: 0.097286 (0.12443) +2025-08-25,12:16:41 | INFO | Train Epoch: 12 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.13245 (0.11171) Boundary_loss: 0.012738 (0.012814) Loss: 0.14519 (0.12453) +2025-08-25,12:17:46 | INFO | Train Epoch: 12 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.085540 (0.11159) Boundary_loss: 0.012819 (0.012814) Loss: 0.098359 (0.12441) +2025-08-25,12:18:51 | INFO | Train Epoch: 12 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.098983 (0.11154) Boundary_loss: 0.012866 (0.012814) Loss: 0.11185 (0.12435) +2025-08-25,12:19:56 | INFO | Train Epoch: 12 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.084857 (0.11142) Boundary_loss: 0.012828 (0.012814) Loss: 0.097685 (0.12423) +2025-08-25,12:21:01 | INFO | Train Epoch: 12 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.085110 (0.11130) Boundary_loss: 0.012763 (0.012814) Loss: 0.097873 (0.12411) +2025-08-25,12:22:06 | INFO | Train Epoch: 12 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.12286 (0.11135) Boundary_loss: 0.012778 (0.012814) Loss: 0.13564 (0.12416) +2025-08-25,12:23:11 | INFO | Train Epoch: 12 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.13950 (0.11148) Boundary_loss: 0.012881 (0.012814) Loss: 0.15238 (0.12429) +2025-08-25,12:24:16 | INFO | Train Epoch: 12 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.082354 (0.11135) Boundary_loss: 0.012838 (0.012814) Loss: 0.095192 (0.12416) +2025-08-25,12:25:21 | INFO | Train Epoch: 12 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.10951 (0.11134) Boundary_loss: 0.012836 (0.012815) Loss: 0.12234 (0.12415) +2025-08-25,12:26:26 | INFO | Train Epoch: 12 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.088472 (0.11124) Boundary_loss: 0.012796 (0.012814) Loss: 0.10127 (0.12405) +2025-08-25,12:27:31 | INFO | Train Epoch: 12 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.12902 (0.11132) Boundary_loss: 0.012886 (0.012815) Loss: 0.14191 (0.12413) +2025-08-25,12:28:36 | INFO | Train Epoch: 12 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.086595 (0.11121) Boundary_loss: 0.012783 (0.012815) Loss: 0.099378 (0.12402) +2025-08-25,12:29:41 | INFO | Train Epoch: 12 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.13981 (0.11133) Boundary_loss: 0.012797 (0.012815) Loss: 0.15261 (0.12415) +2025-08-25,12:30:46 | INFO | Train Epoch: 12 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.568 Boundary Ratio: 0.100 Contrastive_loss: 0.10550 (0.11131) Boundary_loss: 0.012883 (0.012815) Loss: 0.11839 (0.12412) +2025-08-25,12:31:51 | INFO | Train Epoch: 12 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.097307 (0.11125) Boundary_loss: 0.012758 (0.012815) Loss: 0.11007 (0.12406) +2025-08-25,12:32:56 | INFO | Train Epoch: 12 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.095823 (0.11118) Boundary_loss: 0.012756 (0.012814) Loss: 0.10858 (0.12399) +2025-08-25,12:34:01 | INFO | Train Epoch: 12 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.13038 (0.11126) Boundary_loss: 0.012791 (0.012814) Loss: 0.14318 (0.12408) +2025-08-25,12:35:06 | INFO | Train Epoch: 12 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.090484 (0.11117) Boundary_loss: 0.012826 (0.012814) Loss: 0.10331 (0.12399) +2025-08-25,12:36:11 | INFO | Train Epoch: 12 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.13140 (0.11126) Boundary_loss: 0.012811 (0.012814) Loss: 0.14421 (0.12407) +2025-08-25,12:37:16 | INFO | Train Epoch: 12 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.064638 (0.11106) Boundary_loss: 0.012838 (0.012814) Loss: 0.077476 (0.12388) +2025-08-25,12:38:21 | INFO | Train Epoch: 12 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.10135 (0.11102) Boundary_loss: 0.012795 (0.012814) Loss: 0.11414 (0.12384) +2025-08-25,12:39:26 | INFO | Train Epoch: 12 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.066828 (0.11084) Boundary_loss: 0.012884 (0.012815) Loss: 0.079712 (0.12365) +2025-08-25,12:40:31 | INFO | Train Epoch: 12 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.13444 (0.11094) Boundary_loss: 0.012734 (0.012814) Loss: 0.14717 (0.12375) +2025-08-25,12:41:36 | INFO | Train Epoch: 12 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.094385 (0.11087) Boundary_loss: 0.012841 (0.012814) Loss: 0.10723 (0.12368) +2025-08-25,12:42:41 | INFO | Train Epoch: 12 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.11402 (0.11088) Boundary_loss: 0.012745 (0.012814) Loss: 0.12677 (0.12369) +2025-08-25,12:43:46 | INFO | Train Epoch: 12 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.11436 (0.11089) Boundary_loss: 0.012772 (0.012814) Loss: 0.12713 (0.12371) +2025-08-25,12:44:51 | INFO | Train Epoch: 12 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.10164 (0.11086) Boundary_loss: 0.012840 (0.012814) Loss: 0.11448 (0.12367) +2025-08-25,12:45:56 | INFO | Train Epoch: 12 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.099464 (0.11081) Boundary_loss: 0.012849 (0.012814) Loss: 0.11231 (0.12362) +2025-08-25,12:47:01 | INFO | Train Epoch: 12 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.11404 (0.11082) Boundary_loss: 0.012822 (0.012814) Loss: 0.12686 (0.12364) +2025-08-25,12:48:06 | INFO | Train Epoch: 12 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.11117 (0.11082) Boundary_loss: 0.012816 (0.012814) Loss: 0.12398 (0.12364) +2025-08-25,12:49:11 | INFO | Train Epoch: 12 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.14161 (0.11095) Boundary_loss: 0.012748 (0.012814) Loss: 0.15436 (0.12376) +2025-08-25,12:50:16 | INFO | Train Epoch: 12 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.073443 (0.11080) Boundary_loss: 0.012814 (0.012814) Loss: 0.086257 (0.12361) +2025-08-25,12:51:21 | INFO | Train Epoch: 12 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.084422 (0.11069) Boundary_loss: 0.012857 (0.012814) Loss: 0.097279 (0.12351) +2025-08-25,12:52:26 | INFO | Train Epoch: 12 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.099358 (0.11065) Boundary_loss: 0.012836 (0.012814) Loss: 0.11219 (0.12346) +2025-08-25,12:53:31 | INFO | Train Epoch: 12 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.079572 (0.11052) Boundary_loss: 0.012823 (0.012814) Loss: 0.092395 (0.12334) +2025-08-25,12:54:36 | INFO | Train Epoch: 12 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.11466 (0.11054) Boundary_loss: 0.012890 (0.012814) Loss: 0.12755 (0.12335) +2025-08-25,12:55:41 | INFO | Train Epoch: 12 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.10225 (0.11051) Boundary_loss: 0.012894 (0.012815) Loss: 0.11515 (0.12332) +2025-08-25,12:56:46 | INFO | Train Epoch: 12 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.11420 (0.11052) Boundary_loss: 0.012810 (0.012815) Loss: 0.12701 (0.12334) +2025-08-25,12:57:51 | INFO | Train Epoch: 12 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.099359 (0.11048) Boundary_loss: 0.012826 (0.012815) Loss: 0.11218 (0.12329) +2025-08-25,12:58:56 | INFO | Train Epoch: 12 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.079222 (0.11036) Boundary_loss: 0.012751 (0.012815) Loss: 0.091973 (0.12317) +2025-08-25,13:00:01 | INFO | Train Epoch: 12 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.10529 (0.11034) Boundary_loss: 0.012804 (0.012815) Loss: 0.11810 (0.12315) +2025-08-25,13:01:06 | INFO | Train Epoch: 12 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.065475 (0.11016) Boundary_loss: 0.012862 (0.012815) Loss: 0.078337 (0.12298) +2025-08-25,13:02:10 | INFO | Train Epoch: 12 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.094110 (0.11010) Boundary_loss: 0.012815 (0.012815) Loss: 0.10692 (0.12292) +2025-08-25,13:03:15 | INFO | Train Epoch: 12 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.12095 (0.11014) Boundary_loss: 0.012859 (0.012815) Loss: 0.13381 (0.12296) +2025-08-25,13:04:20 | INFO | Train Epoch: 12 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.11141 (0.11015) Boundary_loss: 0.012812 (0.012815) Loss: 0.12422 (0.12296) +2025-08-25,13:05:25 | INFO | Train Epoch: 12 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.091775 (0.11008) Boundary_loss: 0.012811 (0.012815) Loss: 0.10459 (0.12289) +2025-08-25,13:06:30 | INFO | Train Epoch: 12 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.090035 (0.11000) Boundary_loss: 0.012790 (0.012815) Loss: 0.10282 (0.12282) +2025-08-25,13:07:35 | INFO | Train Epoch: 12 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.10302 (0.10998) Boundary_loss: 0.012858 (0.012815) Loss: 0.11588 (0.12279) +2025-08-25,13:08:40 | INFO | Train Epoch: 12 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.10771 (0.10997) Boundary_loss: 0.012889 (0.012815) Loss: 0.12060 (0.12278) +2025-08-25,13:09:45 | INFO | Train Epoch: 12 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.072252 (0.10983) Boundary_loss: 0.012841 (0.012815) Loss: 0.085094 (0.12264) +2025-08-25,13:10:50 | INFO | Train Epoch: 12 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.098346 (0.10978) Boundary_loss: 0.012812 (0.012815) Loss: 0.11116 (0.12260) +2025-08-25,13:11:55 | INFO | Train Epoch: 12 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.092341 (0.10972) Boundary_loss: 0.012828 (0.012815) Loss: 0.10517 (0.12253) +2025-08-25,13:13:00 | INFO | Train Epoch: 12 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.081124 (0.10961) Boundary_loss: 0.012846 (0.012815) Loss: 0.093971 (0.12243) +2025-08-25,13:14:05 | INFO | Train Epoch: 12 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.10545 (0.10960) Boundary_loss: 0.012784 (0.012815) Loss: 0.11823 (0.12241) +2025-08-25,13:15:10 | INFO | Train Epoch: 12 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.10649 (0.10959) Boundary_loss: 0.012713 (0.012815) Loss: 0.11921 (0.12240) +2025-08-25,13:16:15 | INFO | Train Epoch: 12 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.11264 (0.10960) Boundary_loss: 0.012794 (0.012815) Loss: 0.12543 (0.12241) +2025-08-25,13:17:20 | INFO | Train Epoch: 12 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.099907 (0.10956) Boundary_loss: 0.012836 (0.012815) Loss: 0.11274 (0.12238) +2025-08-25,13:18:25 | INFO | Train Epoch: 12 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.14433 (0.10969) Boundary_loss: 0.012750 (0.012815) Loss: 0.15708 (0.12250) +2025-08-25,13:19:30 | INFO | Train Epoch: 12 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.11848 (0.10972) Boundary_loss: 0.012802 (0.012815) Loss: 0.13128 (0.12253) +2025-08-25,13:20:35 | INFO | Train Epoch: 12 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.11907 (0.10975) Boundary_loss: 0.012754 (0.012814) Loss: 0.13182 (0.12257) +2025-08-25,13:21:40 | INFO | Train Epoch: 12 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.11149 (0.10976) Boundary_loss: 0.012817 (0.012814) Loss: 0.12431 (0.12257) +2025-08-25,13:22:45 | INFO | Train Epoch: 12 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.10379 (0.10974) Boundary_loss: 0.012804 (0.012814) Loss: 0.11660 (0.12255) +2025-08-25,13:23:50 | INFO | Train Epoch: 12 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.094946 (0.10969) Boundary_loss: 0.012837 (0.012815) Loss: 0.10778 (0.12250) +2025-08-25,13:24:55 | INFO | Train Epoch: 12 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.10274 (0.10966) Boundary_loss: 0.012787 (0.012814) Loss: 0.11553 (0.12248) +2025-08-25,13:26:00 | INFO | Train Epoch: 12 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.080178 (0.10956) Boundary_loss: 0.012774 (0.012814) Loss: 0.092951 (0.12237) +2025-08-25,13:27:05 | INFO | Train Epoch: 12 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.14541 (0.10968) Boundary_loss: 0.012790 (0.012814) Loss: 0.15820 (0.12250) +2025-08-25,13:28:10 | INFO | Train Epoch: 12 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.13462 (0.10977) Boundary_loss: 0.012787 (0.012814) Loss: 0.14740 (0.12259) +2025-08-25,13:29:15 | INFO | Train Epoch: 12 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.13892 (0.10987) Boundary_loss: 0.012817 (0.012814) Loss: 0.15174 (0.12269) +2025-08-25,13:30:20 | INFO | Train Epoch: 12 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.11457 (0.10989) Boundary_loss: 0.012796 (0.012814) Loss: 0.12736 (0.12270) +2025-08-25,13:31:24 | INFO | Train Epoch: 12 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.19899 (0.11020) Boundary_loss: 0.012803 (0.012814) Loss: 0.21180 (0.12301) +2025-08-25,13:32:29 | INFO | Train Epoch: 12 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.10789 (0.11019) Boundary_loss: 0.012750 (0.012814) Loss: 0.12064 (0.12301) +2025-08-25,13:33:34 | INFO | Train Epoch: 12 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.15175 (0.11034) Boundary_loss: 0.012857 (0.012814) Loss: 0.16461 (0.12315) +2025-08-25,13:34:39 | INFO | Train Epoch: 12 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.095171 (0.11028) Boundary_loss: 0.012819 (0.012814) Loss: 0.10799 (0.12310) +2025-08-25,13:35:44 | INFO | Train Epoch: 12 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.11366 (0.11030) Boundary_loss: 0.012789 (0.012814) Loss: 0.12645 (0.12311) +2025-08-25,13:36:49 | INFO | Train Epoch: 12 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.11838 (0.11032) Boundary_loss: 0.012739 (0.012814) Loss: 0.13112 (0.12314) +2025-08-25,13:37:54 | INFO | Train Epoch: 12 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.11935 (0.11035) Boundary_loss: 0.012900 (0.012814) Loss: 0.13225 (0.12317) +2025-08-25,13:38:59 | INFO | Train Epoch: 12 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.094566 (0.11030) Boundary_loss: 0.012872 (0.012814) Loss: 0.10744 (0.12311) +2025-08-25,13:40:04 | INFO | Train Epoch: 12 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.092219 (0.11024) Boundary_loss: 0.012781 (0.012814) Loss: 0.10500 (0.12305) +2025-08-25,13:41:09 | INFO | Train Epoch: 12 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.093859 (0.11018) Boundary_loss: 0.012734 (0.012814) Loss: 0.10659 (0.12300) +2025-08-25,13:42:14 | INFO | Train Epoch: 12 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.091493 (0.11012) Boundary_loss: 0.012790 (0.012814) Loss: 0.10428 (0.12293) +2025-08-25,13:43:19 | INFO | Train Epoch: 12 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.088583 (0.11005) Boundary_loss: 0.012874 (0.012814) Loss: 0.10146 (0.12286) +2025-08-25,13:44:24 | INFO | Train Epoch: 12 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.10700 (0.11004) Boundary_loss: 0.012789 (0.012814) Loss: 0.11979 (0.12285) +2025-08-25,13:45:29 | INFO | Train Epoch: 12 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.082919 (0.10995) Boundary_loss: 0.012828 (0.012814) Loss: 0.095747 (0.12276) +2025-08-25,13:46:34 | INFO | Train Epoch: 12 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.091580 (0.10989) Boundary_loss: 0.012844 (0.012814) Loss: 0.10442 (0.12270) +2025-08-25,13:47:39 | INFO | Train Epoch: 12 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.596 Boundary Ratio: 0.100 Contrastive_loss: 0.088269 (0.10982) Boundary_loss: 0.012934 (0.012814) Loss: 0.10120 (0.12263) +2025-08-25,13:48:44 | INFO | Train Epoch: 12 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.094405 (0.10976) Boundary_loss: 0.012856 (0.012814) Loss: 0.10726 (0.12258) +2025-08-25,13:49:49 | INFO | Train Epoch: 12 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.11971 (0.10980) Boundary_loss: 0.012756 (0.012814) Loss: 0.13247 (0.12261) +2025-08-25,13:50:54 | INFO | Train Epoch: 12 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.10124 (0.10977) Boundary_loss: 0.012832 (0.012814) Loss: 0.11407 (0.12258) +2025-08-25,13:51:59 | INFO | Train Epoch: 12 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.093127 (0.10971) Boundary_loss: 0.012740 (0.012814) Loss: 0.10587 (0.12253) +2025-08-25,13:53:04 | INFO | Train Epoch: 12 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.11009 (0.10972) Boundary_loss: 0.012794 (0.012814) Loss: 0.12289 (0.12253) +2025-08-25,13:54:09 | INFO | Train Epoch: 12 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.13974 (0.10981) Boundary_loss: 0.012752 (0.012814) Loss: 0.15250 (0.12263) +2025-08-25,13:55:14 | INFO | Train Epoch: 12 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.10481 (0.10980) Boundary_loss: 0.012803 (0.012814) Loss: 0.11761 (0.12261) +2025-08-25,13:56:19 | INFO | Train Epoch: 12 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.086671 (0.10972) Boundary_loss: 0.012790 (0.012814) Loss: 0.099461 (0.12254) +2025-08-25,13:57:24 | INFO | Train Epoch: 12 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.097998 (0.10968) Boundary_loss: 0.012792 (0.012814) Loss: 0.11079 (0.12250) +2025-08-25,13:58:29 | INFO | Train Epoch: 12 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.10017 (0.10965) Boundary_loss: 0.012853 (0.012814) Loss: 0.11302 (0.12247) +2025-08-25,13:59:33 | INFO | Train Epoch: 12 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.083096 (0.10957) Boundary_loss: 0.012836 (0.012814) Loss: 0.095932 (0.12238) +2025-08-25,14:00:38 | INFO | Train Epoch: 12 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.093445 (0.10952) Boundary_loss: 0.012812 (0.012814) Loss: 0.10626 (0.12233) +2025-08-25,14:01:43 | INFO | Train Epoch: 12 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.14756 (0.10964) Boundary_loss: 0.012755 (0.012814) Loss: 0.16031 (0.12245) +2025-08-25,14:02:48 | INFO | Train Epoch: 12 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.10780 (0.10963) Boundary_loss: 0.012828 (0.012814) Loss: 0.12062 (0.12245) +2025-08-25,14:03:53 | INFO | Train Epoch: 12 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.12490 (0.10968) Boundary_loss: 0.012828 (0.012814) Loss: 0.13773 (0.12249) +2025-08-25,14:04:58 | INFO | Train Epoch: 12 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.12907 (0.10974) Boundary_loss: 0.012778 (0.012814) Loss: 0.14185 (0.12256) +2025-08-25,14:06:03 | INFO | Train Epoch: 12 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.092719 (0.10969) Boundary_loss: 0.012872 (0.012814) Loss: 0.10559 (0.12250) +2025-08-25,14:07:08 | INFO | Train Epoch: 12 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.099233 (0.10966) Boundary_loss: 0.012816 (0.012814) Loss: 0.11205 (0.12247) +2025-08-25,14:08:13 | INFO | Train Epoch: 12 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.10342 (0.10964) Boundary_loss: 0.012816 (0.012814) Loss: 0.11623 (0.12245) +2025-08-25,14:09:18 | INFO | Train Epoch: 12 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.086836 (0.10957) Boundary_loss: 0.012835 (0.012814) Loss: 0.099671 (0.12238) +2025-08-25,14:10:23 | INFO | Train Epoch: 12 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.11546 (0.10958) Boundary_loss: 0.012882 (0.012814) Loss: 0.12834 (0.12240) +2025-08-25,14:11:28 | INFO | Train Epoch: 12 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.091658 (0.10953) Boundary_loss: 0.012863 (0.012814) Loss: 0.10452 (0.12234) +2025-08-25,14:12:33 | INFO | Train Epoch: 12 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.10657 (0.10952) Boundary_loss: 0.012757 (0.012814) Loss: 0.11933 (0.12233) +2025-08-25,14:13:38 | INFO | Train Epoch: 12 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.13654 (0.10960) Boundary_loss: 0.012801 (0.012814) Loss: 0.14935 (0.12242) +2025-08-25,14:14:43 | INFO | Train Epoch: 12 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.13122 (0.10967) Boundary_loss: 0.012788 (0.012814) Loss: 0.14401 (0.12248) +2025-08-25,14:15:48 | INFO | Train Epoch: 12 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.081714 (0.10958) Boundary_loss: 0.012930 (0.012814) Loss: 0.094644 (0.12240) +2025-08-25,14:16:53 | INFO | Train Epoch: 12 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.12768 (0.10964) Boundary_loss: 0.012798 (0.012814) Loss: 0.14048 (0.12245) +2025-08-25,14:17:58 | INFO | Train Epoch: 12 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.14137 (0.10973) Boundary_loss: 0.012871 (0.012814) Loss: 0.15424 (0.12255) +2025-08-25,14:19:03 | INFO | Train Epoch: 12 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.10929 (0.10973) Boundary_loss: 0.012860 (0.012815) Loss: 0.12215 (0.12255) +2025-08-25,14:20:08 | INFO | Train Epoch: 12 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.11173 (0.10974) Boundary_loss: 0.012820 (0.012815) Loss: 0.12455 (0.12255) +2025-08-25,14:21:13 | INFO | Train Epoch: 12 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.071795 (0.10963) Boundary_loss: 0.012830 (0.012815) Loss: 0.084625 (0.12244) +2025-08-25,14:22:18 | INFO | Train Epoch: 12 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.10472 (0.10961) Boundary_loss: 0.012901 (0.012815) Loss: 0.11762 (0.12243) +2025-08-25,14:23:23 | INFO | Train Epoch: 12 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.081326 (0.10953) Boundary_loss: 0.012755 (0.012815) Loss: 0.094081 (0.12234) +2025-08-25,14:24:28 | INFO | Train Epoch: 12 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.11848 (0.10955) Boundary_loss: 0.012706 (0.012814) Loss: 0.13119 (0.12237) +2025-08-25,14:25:33 | INFO | Train Epoch: 12 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.14107 (0.10965) Boundary_loss: 0.012801 (0.012814) Loss: 0.15387 (0.12246) +2025-08-25,14:26:38 | INFO | Train Epoch: 12 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.12899 (0.10970) Boundary_loss: 0.012824 (0.012814) Loss: 0.14181 (0.12252) +2025-08-25,14:27:43 | INFO | Train Epoch: 12 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.10819 (0.10970) Boundary_loss: 0.012792 (0.012814) Loss: 0.12098 (0.12251) +2025-08-25,14:28:48 | INFO | Train Epoch: 12 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.10604 (0.10969) Boundary_loss: 0.012844 (0.012814) Loss: 0.11889 (0.12250) +2025-08-25,14:29:53 | INFO | Train Epoch: 12 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.11651 (0.10971) Boundary_loss: 0.012855 (0.012814) Loss: 0.12936 (0.12252) +2025-08-25,14:30:58 | INFO | Train Epoch: 12 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.10463 (0.10969) Boundary_loss: 0.012767 (0.012814) Loss: 0.11740 (0.12251) +2025-08-25,14:32:03 | INFO | Train Epoch: 12 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.10232 (0.10967) Boundary_loss: 0.012784 (0.012814) Loss: 0.11511 (0.12249) +2025-08-25,14:33:08 | INFO | Train Epoch: 12 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.10515 (0.10966) Boundary_loss: 0.012778 (0.012814) Loss: 0.11793 (0.12247) +2025-08-25,14:34:13 | INFO | Train Epoch: 12 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.086025 (0.10959) Boundary_loss: 0.012837 (0.012814) Loss: 0.098863 (0.12240) +2025-08-25,14:35:18 | INFO | Train Epoch: 12 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.075542 (0.10949) Boundary_loss: 0.012807 (0.012814) Loss: 0.088349 (0.12231) +2025-08-25,14:36:23 | INFO | Train Epoch: 12 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.13193 (0.10956) Boundary_loss: 0.012790 (0.012814) Loss: 0.14472 (0.12237) +2025-08-25,14:37:28 | INFO | Train Epoch: 12 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.12022 (0.10959) Boundary_loss: 0.012817 (0.012814) Loss: 0.13304 (0.12240) +2025-08-25,14:38:33 | INFO | Train Epoch: 12 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.094449 (0.10954) Boundary_loss: 0.012774 (0.012814) Loss: 0.10722 (0.12236) +2025-08-25,14:39:38 | INFO | Train Epoch: 12 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.094656 (0.10950) Boundary_loss: 0.012798 (0.012814) Loss: 0.10745 (0.12232) +2025-08-25,14:40:43 | INFO | Train Epoch: 12 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.095799 (0.10946) Boundary_loss: 0.012816 (0.012814) Loss: 0.10862 (0.12228) +2025-08-25,14:41:48 | INFO | Train Epoch: 12 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.092737 (0.10941) Boundary_loss: 0.012759 (0.012814) Loss: 0.10550 (0.12223) +2025-08-25,14:42:53 | INFO | Train Epoch: 12 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.11849 (0.10944) Boundary_loss: 0.012681 (0.012813) Loss: 0.13118 (0.12225) +2025-08-25,14:43:58 | INFO | Train Epoch: 12 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.11941 (0.10947) Boundary_loss: 0.012664 (0.012813) Loss: 0.13208 (0.12228) +2025-08-25,14:45:03 | INFO | Train Epoch: 12 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.076745 (0.10938) Boundary_loss: 0.012844 (0.012813) Loss: 0.089590 (0.12219) +2025-08-25,14:46:08 | INFO | Train Epoch: 12 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.10318 (0.10936) Boundary_loss: 0.012741 (0.012813) Loss: 0.11592 (0.12217) +2025-08-25,14:47:13 | INFO | Train Epoch: 12 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.14652 (0.10946) Boundary_loss: 0.012749 (0.012813) Loss: 0.15927 (0.12228) +2025-08-25,14:48:18 | INFO | Train Epoch: 12 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.10500 (0.10945) Boundary_loss: 0.012874 (0.012813) Loss: 0.11787 (0.12226) +2025-08-25,14:49:23 | INFO | Train Epoch: 12 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.085338 (0.10938) Boundary_loss: 0.012835 (0.012813) Loss: 0.098172 (0.12220) +2025-08-25,14:50:27 | INFO | Train Epoch: 12 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.089867 (0.10933) Boundary_loss: 0.012793 (0.012813) Loss: 0.10266 (0.12214) +2025-08-25,14:51:32 | INFO | Train Epoch: 12 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.095423 (0.10929) Boundary_loss: 0.012752 (0.012813) Loss: 0.10818 (0.12210) +2025-08-25,14:52:37 | INFO | Train Epoch: 12 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.13216 (0.10935) Boundary_loss: 0.012826 (0.012813) Loss: 0.14499 (0.12217) +2025-08-25,14:53:42 | INFO | Train Epoch: 12 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.084966 (0.10929) Boundary_loss: 0.012783 (0.012813) Loss: 0.097749 (0.12210) +2025-08-25,14:54:47 | INFO | Train Epoch: 12 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.11470 (0.10930) Boundary_loss: 0.012806 (0.012813) Loss: 0.12751 (0.12211) +2025-08-25,14:55:52 | INFO | Train Epoch: 12 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.084300 (0.10923) Boundary_loss: 0.012776 (0.012813) Loss: 0.097076 (0.12205) +2025-08-25,14:56:57 | INFO | Train Epoch: 12 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.10610 (0.10922) Boundary_loss: 0.012777 (0.012812) Loss: 0.11888 (0.12204) +2025-08-25,14:58:02 | INFO | Train Epoch: 12 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.13824 (0.10930) Boundary_loss: 0.012830 (0.012813) Loss: 0.15107 (0.12212) +2025-08-25,14:59:07 | INFO | Train Epoch: 12 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.10380 (0.10929) Boundary_loss: 0.012850 (0.012813) Loss: 0.11665 (0.12210) +2025-08-25,15:00:12 | INFO | Train Epoch: 12 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.12043 (0.10932) Boundary_loss: 0.012729 (0.012812) Loss: 0.13316 (0.12213) +2025-08-25,15:01:17 | INFO | Train Epoch: 12 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.076991 (0.10923) Boundary_loss: 0.012767 (0.012812) Loss: 0.089758 (0.12204) +2025-08-25,15:02:22 | INFO | Train Epoch: 12 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.11861 (0.10926) Boundary_loss: 0.012817 (0.012812) Loss: 0.13143 (0.12207) +2025-08-25,15:03:27 | INFO | Train Epoch: 12 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.10170 (0.10924) Boundary_loss: 0.012830 (0.012812) Loss: 0.11453 (0.12205) +2025-08-25,15:04:32 | INFO | Train Epoch: 12 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.064697 (0.10912) Boundary_loss: 0.012833 (0.012812) Loss: 0.077530 (0.12193) +2025-08-25,15:05:37 | INFO | Train Epoch: 12 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.074958 (0.10903) Boundary_loss: 0.012807 (0.012812) Loss: 0.087766 (0.12184) +2025-08-25,15:06:42 | INFO | Train Epoch: 12 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.10006 (0.10900) Boundary_loss: 0.012733 (0.012812) Loss: 0.11279 (0.12181) +2025-08-25,15:07:47 | INFO | Train Epoch: 12 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.10995 (0.10900) Boundary_loss: 0.012884 (0.012812) Loss: 0.12283 (0.12182) +2025-08-25,15:08:52 | INFO | Train Epoch: 12 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.14072 (0.10909) Boundary_loss: 0.012880 (0.012813) Loss: 0.15360 (0.12190) +2025-08-25,15:09:57 | INFO | Train Epoch: 12 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.087687 (0.10903) Boundary_loss: 0.012801 (0.012813) Loss: 0.10049 (0.12184) +2025-08-25,15:11:02 | INFO | Train Epoch: 12 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.10621 (0.10902) Boundary_loss: 0.012829 (0.012813) Loss: 0.11904 (0.12184) +2025-08-25,15:12:07 | INFO | Train Epoch: 12 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.11113 (0.10903) Boundary_loss: 0.012893 (0.012813) Loss: 0.12402 (0.12184) +2025-08-25,15:13:12 | INFO | Train Epoch: 12 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.096135 (0.10900) Boundary_loss: 0.012930 (0.012813) Loss: 0.10906 (0.12181) +2025-08-25,15:14:17 | INFO | Train Epoch: 12 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.12742 (0.10904) Boundary_loss: 0.012723 (0.012813) Loss: 0.14014 (0.12186) +2025-08-25,15:15:22 | INFO | Train Epoch: 12 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.12310 (0.10908) Boundary_loss: 0.012832 (0.012813) Loss: 0.13594 (0.12189) +2025-08-25,15:16:26 | INFO | Train Epoch: 12 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.14623 (0.10918) Boundary_loss: 0.012803 (0.012813) Loss: 0.15904 (0.12199) +2025-08-25,15:17:31 | INFO | Train Epoch: 12 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.092319 (0.10913) Boundary_loss: 0.012814 (0.012813) Loss: 0.10513 (0.12195) +2025-08-25,15:18:36 | INFO | Train Epoch: 12 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.092422 (0.10909) Boundary_loss: 0.012962 (0.012813) Loss: 0.10538 (0.12190) +2025-08-25,15:19:41 | INFO | Train Epoch: 12 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.095952 (0.10906) Boundary_loss: 0.012768 (0.012813) Loss: 0.10872 (0.12187) +2025-08-25,15:20:46 | INFO | Train Epoch: 12 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.095088 (0.10902) Boundary_loss: 0.012771 (0.012813) Loss: 0.10786 (0.12183) +2025-08-25,15:21:51 | INFO | Train Epoch: 12 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.023 Boundary Ratio: 0.097 Contrastive_loss: 0.11112 (0.10903) Boundary_loss: 0.012741 (0.012813) Loss: 0.12386 (0.12184) +2025-08-25,15:22:56 | INFO | Train Epoch: 12 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.081979 (0.10896) Boundary_loss: 0.012739 (0.012813) Loss: 0.094718 (0.12177) +2025-08-25,15:24:01 | INFO | Train Epoch: 12 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.13172 (0.10902) Boundary_loss: 0.012731 (0.012812) Loss: 0.14445 (0.12183) +2025-08-25,15:25:05 | INFO | Train Epoch: 12 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.11263 (0.10902) Boundary_loss: 0.012789 (0.012812) Loss: 0.12542 (0.12184) +2025-08-25,15:26:10 | INFO | Train Epoch: 12 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.12756 (0.10907) Boundary_loss: 0.012739 (0.012812) Loss: 0.14030 (0.12188) +2025-08-25,15:27:15 | INFO | Train Epoch: 12 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.080304 (0.10900) Boundary_loss: 0.012860 (0.012812) Loss: 0.093164 (0.12181) +2025-08-25,15:28:20 | INFO | Train Epoch: 12 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.089303 (0.10895) Boundary_loss: 0.012791 (0.012812) Loss: 0.10209 (0.12176) +2025-08-25,15:29:25 | INFO | Train Epoch: 12 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.12782 (0.10900) Boundary_loss: 0.012755 (0.012812) Loss: 0.14057 (0.12181) +2025-08-25,15:30:30 | INFO | Train Epoch: 12 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.11913 (0.10902) Boundary_loss: 0.012823 (0.012812) Loss: 0.13195 (0.12183) +2025-08-25,15:31:35 | INFO | Train Epoch: 12 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.12292 (0.10906) Boundary_loss: 0.012804 (0.012812) Loss: 0.13573 (0.12187) +2025-08-25,15:32:40 | INFO | Train Epoch: 12 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.086339 (0.10900) Boundary_loss: 0.012776 (0.012812) Loss: 0.099115 (0.12181) +2025-08-25,15:33:45 | INFO | Train Epoch: 12 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.12402 (0.10904) Boundary_loss: 0.012727 (0.012812) Loss: 0.13675 (0.12185) +2025-08-25,15:34:50 | INFO | Train Epoch: 12 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.092263 (0.10900) Boundary_loss: 0.012795 (0.012812) Loss: 0.10506 (0.12181) +2025-08-25,15:35:55 | INFO | Train Epoch: 12 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.089127 (0.10895) Boundary_loss: 0.012812 (0.012812) Loss: 0.10194 (0.12176) +2025-08-25,15:37:00 | INFO | Train Epoch: 12 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.10815 (0.10894) Boundary_loss: 0.012877 (0.012812) Loss: 0.12102 (0.12176) +2025-08-25,15:38:05 | INFO | Train Epoch: 12 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.096554 (0.10891) Boundary_loss: 0.012884 (0.012812) Loss: 0.10944 (0.12173) +2025-08-25,15:39:10 | INFO | Train Epoch: 12 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.079911 (0.10884) Boundary_loss: 0.012878 (0.012812) Loss: 0.092789 (0.12165) +2025-08-25,15:40:15 | INFO | Train Epoch: 12 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.10445 (0.10883) Boundary_loss: 0.012772 (0.012812) Loss: 0.11722 (0.12164) +2025-08-25,15:41:20 | INFO | Train Epoch: 12 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.099149 (0.10881) Boundary_loss: 0.012767 (0.012812) Loss: 0.11192 (0.12162) +2025-08-25,15:42:25 | INFO | Train Epoch: 12 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.11027 (0.10881) Boundary_loss: 0.012759 (0.012812) Loss: 0.12303 (0.12162) +2025-08-25,15:43:30 | INFO | Train Epoch: 12 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.12323 (0.10885) Boundary_loss: 0.012821 (0.012812) Loss: 0.13605 (0.12166) +2025-08-25,15:44:35 | INFO | Train Epoch: 12 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.12677 (0.10889) Boundary_loss: 0.012742 (0.012812) Loss: 0.13952 (0.12170) +2025-08-25,15:45:40 | INFO | Train Epoch: 12 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.11985 (0.10892) Boundary_loss: 0.012882 (0.012812) Loss: 0.13273 (0.12173) +2025-08-25,15:46:44 | INFO | Train Epoch: 12 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.087184 (0.10886) Boundary_loss: 0.012739 (0.012812) Loss: 0.099922 (0.12168) +2025-08-25,15:47:49 | INFO | Train Epoch: 12 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.13566 (0.10893) Boundary_loss: 0.012858 (0.012812) Loss: 0.14852 (0.12174) +2025-08-25,15:48:54 | INFO | Train Epoch: 12 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.10479 (0.10892) Boundary_loss: 0.012818 (0.012812) Loss: 0.11761 (0.12173) +2025-08-25,15:49:59 | INFO | Train Epoch: 12 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.11530 (0.10893) Boundary_loss: 0.012754 (0.012812) Loss: 0.12805 (0.12175) +2025-08-25,15:51:04 | INFO | Train Epoch: 12 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.099320 (0.10891) Boundary_loss: 0.012831 (0.012812) Loss: 0.11215 (0.12172) +2025-08-25,15:52:09 | INFO | Train Epoch: 12 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.11618 (0.10893) Boundary_loss: 0.012772 (0.012812) Loss: 0.12895 (0.12174) +2025-08-25,15:53:14 | INFO | Train Epoch: 12 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.097813 (0.10890) Boundary_loss: 0.012757 (0.012812) Loss: 0.11057 (0.12171) +2025-08-25,15:54:19 | INFO | Train Epoch: 12 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.086494 (0.10885) Boundary_loss: 0.012845 (0.012812) Loss: 0.099339 (0.12166) +2025-08-25,15:55:24 | INFO | Train Epoch: 12 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.095523 (0.10882) Boundary_loss: 0.012777 (0.012812) Loss: 0.10830 (0.12163) +2025-08-25,15:56:29 | INFO | Train Epoch: 12 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.13230 (0.10887) Boundary_loss: 0.012822 (0.012812) Loss: 0.14512 (0.12168) +2025-08-25,15:57:33 | INFO | Train Epoch: 12 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.13468 (0.10893) Boundary_loss: 0.012807 (0.012812) Loss: 0.14749 (0.12175) +2025-08-25,15:58:38 | INFO | Train Epoch: 12 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.091602 (0.10889) Boundary_loss: 0.012871 (0.012812) Loss: 0.10447 (0.12170) +2025-08-25,15:59:43 | INFO | Train Epoch: 12 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.095839 (0.10886) Boundary_loss: 0.012771 (0.012812) Loss: 0.10861 (0.12167) +2025-08-25,16:00:48 | INFO | Train Epoch: 12 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.10676 (0.10886) Boundary_loss: 0.012844 (0.012812) Loss: 0.11961 (0.12167) +2025-08-25,16:01:53 | INFO | Train Epoch: 12 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.082341 (0.10879) Boundary_loss: 0.012758 (0.012812) Loss: 0.095098 (0.12161) +2025-08-25,16:02:58 | INFO | Train Epoch: 12 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.11537 (0.10881) Boundary_loss: 0.012825 (0.012812) Loss: 0.12819 (0.12162) +2025-08-25,16:04:03 | INFO | Train Epoch: 12 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.13139 (0.10886) Boundary_loss: 0.012778 (0.012812) Loss: 0.14417 (0.12167) +2025-08-25,16:05:08 | INFO | Train Epoch: 12 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.11094 (0.10887) Boundary_loss: 0.012781 (0.012811) Loss: 0.12372 (0.12168) +2025-08-25,16:06:12 | INFO | Train Epoch: 12 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.099100 (0.10884) Boundary_loss: 0.012806 (0.012811) Loss: 0.11191 (0.12166) +2025-08-25,16:07:17 | INFO | Train Epoch: 12 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.089794 (0.10880) Boundary_loss: 0.012791 (0.012811) Loss: 0.10258 (0.12161) +2025-08-25,16:08:22 | INFO | Train Epoch: 12 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.11484 (0.10881) Boundary_loss: 0.012946 (0.012812) Loss: 0.12779 (0.12163) +2025-08-25,16:09:27 | INFO | Train Epoch: 12 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.10909 (0.10882) Boundary_loss: 0.012722 (0.012812) Loss: 0.12182 (0.12163) +2025-08-25,16:10:32 | INFO | Train Epoch: 12 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.064582 (0.10871) Boundary_loss: 0.012767 (0.012811) Loss: 0.077349 (0.12152) +2025-08-25,16:11:37 | INFO | Train Epoch: 12 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.088382 (0.10867) Boundary_loss: 0.012823 (0.012811) Loss: 0.10120 (0.12148) +2025-08-25,16:12:42 | INFO | Train Epoch: 12 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.091920 (0.10863) Boundary_loss: 0.012732 (0.012811) Loss: 0.10465 (0.12144) +2025-08-25,16:13:47 | INFO | Train Epoch: 12 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.10913 (0.10863) Boundary_loss: 0.012802 (0.012811) Loss: 0.12193 (0.12144) +2025-08-25,16:14:52 | INFO | Train Epoch: 12 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.15155 (0.10873) Boundary_loss: 0.012706 (0.012811) Loss: 0.16426 (0.12154) +2025-08-25,16:15:56 | INFO | Train Epoch: 12 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.096111 (0.10870) Boundary_loss: 0.012815 (0.012811) Loss: 0.10893 (0.12151) +2025-08-25,16:17:01 | INFO | Train Epoch: 12 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.093314 (0.10866) Boundary_loss: 0.012809 (0.012811) Loss: 0.10612 (0.12147) +2025-08-25,16:18:06 | INFO | Train Epoch: 12 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.10561 (0.10866) Boundary_loss: 0.012797 (0.012811) Loss: 0.11841 (0.12147) +2025-08-25,16:19:11 | INFO | Train Epoch: 12 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.10005 (0.10864) Boundary_loss: 0.012721 (0.012811) Loss: 0.11277 (0.12145) +2025-08-25,16:20:16 | INFO | Train Epoch: 12 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.12546 (0.10868) Boundary_loss: 0.012769 (0.012811) Loss: 0.13823 (0.12149) +2025-08-25,16:21:21 | INFO | Train Epoch: 12 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.071091 (0.10859) Boundary_loss: 0.012692 (0.012810) Loss: 0.083783 (0.12140) +2025-08-25,16:22:26 | INFO | Train Epoch: 12 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.098580 (0.10857) Boundary_loss: 0.012786 (0.012810) Loss: 0.11137 (0.12138) +2025-08-25,16:23:31 | INFO | Train Epoch: 12 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.090013 (0.10853) Boundary_loss: 0.012825 (0.012810) Loss: 0.10284 (0.12134) +2025-08-25,16:24:36 | INFO | Train Epoch: 12 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.14199 (0.10860) Boundary_loss: 0.012729 (0.012810) Loss: 0.15471 (0.12141) +2025-08-25,16:25:41 | INFO | Train Epoch: 12 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.094045 (0.10857) Boundary_loss: 0.012756 (0.012810) Loss: 0.10680 (0.12138) +2025-08-25,16:26:46 | INFO | Train Epoch: 12 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.10768 (0.10857) Boundary_loss: 0.012768 (0.012810) Loss: 0.12045 (0.12138) +2025-08-25,16:27:50 | INFO | Train Epoch: 12 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.12205 (0.10860) Boundary_loss: 0.012802 (0.012810) Loss: 0.13485 (0.12141) +2025-08-25,16:28:55 | INFO | Train Epoch: 12 [23040512/26365952 (87%)] Avg Boundaries (per batch): 18.947 Boundary Ratio: 0.097 Contrastive_loss: 0.083163 (0.10854) Boundary_loss: 0.012814 (0.012810) Loss: 0.095977 (0.12135) +2025-08-25,16:30:00 | INFO | Train Epoch: 12 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.098626 (0.10852) Boundary_loss: 0.012802 (0.012810) Loss: 0.11143 (0.12133) +2025-08-25,16:31:05 | INFO | Train Epoch: 12 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.11108 (0.10852) Boundary_loss: 0.012834 (0.012810) Loss: 0.12391 (0.12133) +2025-08-25,16:32:10 | INFO | Train Epoch: 12 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.10123 (0.10851) Boundary_loss: 0.012753 (0.012810) Loss: 0.11399 (0.12132) +2025-08-25,16:33:15 | INFO | Train Epoch: 12 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.075696 (0.10844) Boundary_loss: 0.012849 (0.012810) Loss: 0.088545 (0.12125) +2025-08-25,16:34:20 | INFO | Train Epoch: 12 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.11996 (0.10846) Boundary_loss: 0.012730 (0.012810) Loss: 0.13269 (0.12127) +2025-08-25,16:35:25 | INFO | Train Epoch: 12 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.14616 (0.10854) Boundary_loss: 0.012834 (0.012810) Loss: 0.15899 (0.12135) +2025-08-25,16:36:30 | INFO | Train Epoch: 12 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.071937 (0.10846) Boundary_loss: 0.012744 (0.012810) Loss: 0.084681 (0.12127) +2025-08-25,16:37:35 | INFO | Train Epoch: 12 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.11741 (0.10848) Boundary_loss: 0.012842 (0.012810) Loss: 0.13025 (0.12129) +2025-08-25,16:38:40 | INFO | Train Epoch: 12 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.10284 (0.10847) Boundary_loss: 0.012787 (0.012810) Loss: 0.11562 (0.12128) +2025-08-25,16:39:45 | INFO | Train Epoch: 12 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.057403 (0.10836) Boundary_loss: 0.012717 (0.012810) Loss: 0.070121 (0.12117) +2025-08-25,16:40:50 | INFO | Train Epoch: 12 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.069389 (0.10828) Boundary_loss: 0.012829 (0.012810) Loss: 0.082217 (0.12109) +2025-08-25,16:41:55 | INFO | Train Epoch: 12 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.11110 (0.10828) Boundary_loss: 0.012807 (0.012810) Loss: 0.12391 (0.12109) +2025-08-25,16:43:00 | INFO | Train Epoch: 12 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.13769 (0.10835) Boundary_loss: 0.012745 (0.012809) Loss: 0.15043 (0.12115) +2025-08-25,16:44:05 | INFO | Train Epoch: 12 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.067172 (0.10826) Boundary_loss: 0.012826 (0.012809) Loss: 0.079998 (0.12107) +2025-08-25,16:45:09 | INFO | Train Epoch: 12 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.10107 (0.10824) Boundary_loss: 0.012841 (0.012810) Loss: 0.11391 (0.12105) +2025-08-25,16:46:14 | INFO | Train Epoch: 12 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.10164 (0.10823) Boundary_loss: 0.012783 (0.012809) Loss: 0.11442 (0.12104) +2025-08-25,16:47:19 | INFO | Train Epoch: 12 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.11103 (0.10823) Boundary_loss: 0.012769 (0.012809) Loss: 0.12380 (0.12104) +2025-08-25,16:48:24 | INFO | Train Epoch: 12 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.12175 (0.10826) Boundary_loss: 0.012817 (0.012809) Loss: 0.13456 (0.12107) +2025-08-25,16:49:29 | INFO | Train Epoch: 12 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.076162 (0.10819) Boundary_loss: 0.012783 (0.012809) Loss: 0.088945 (0.12100) +2025-08-25,16:50:34 | INFO | Train Epoch: 12 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.11218 (0.10820) Boundary_loss: 0.012777 (0.012809) Loss: 0.12496 (0.12101) +2025-08-25,16:51:39 | INFO | Train Epoch: 12 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.076567 (0.10814) Boundary_loss: 0.012813 (0.012809) Loss: 0.089380 (0.12094) +2025-08-25,16:52:44 | INFO | Train Epoch: 12 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.081118 (0.10808) Boundary_loss: 0.012779 (0.012809) Loss: 0.093897 (0.12089) +2025-08-25,16:53:49 | INFO | Train Epoch: 12 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.11538 (0.10809) Boundary_loss: 0.012731 (0.012809) Loss: 0.12811 (0.12090) +2025-08-25,16:54:54 | INFO | Train Epoch: 12 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.11354 (0.10810) Boundary_loss: 0.012806 (0.012809) Loss: 0.12635 (0.12091) +2025-08-25,16:55:59 | INFO | Train Epoch: 12 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.14148 (0.10817) Boundary_loss: 0.012840 (0.012809) Loss: 0.15432 (0.12098) +2025-08-25,16:57:04 | INFO | Train Epoch: 12 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.10859 (0.10818) Boundary_loss: 0.012839 (0.012809) Loss: 0.12143 (0.12099) +2025-08-25,16:58:09 | INFO | Train Epoch: 12 [24422912/26365952 (93%)] Avg Boundaries (per batch): 18.961 Boundary Ratio: 0.097 Contrastive_loss: 0.10687 (0.10817) Boundary_loss: 0.012900 (0.012809) Loss: 0.11977 (0.12098) +2025-08-25,16:59:14 | INFO | Train Epoch: 12 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.10057 (0.10816) Boundary_loss: 0.012822 (0.012809) Loss: 0.11339 (0.12097) +2025-08-25,17:00:19 | INFO | Train Epoch: 12 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.11827 (0.10818) Boundary_loss: 0.012762 (0.012809) Loss: 0.13103 (0.12099) +2025-08-25,17:01:24 | INFO | Train Epoch: 12 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.098900 (0.10816) Boundary_loss: 0.012833 (0.012809) Loss: 0.11173 (0.12097) +2025-08-25,17:02:29 | INFO | Train Epoch: 12 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.094711 (0.10813) Boundary_loss: 0.012914 (0.012810) Loss: 0.10762 (0.12094) +2025-08-25,17:03:34 | INFO | Train Epoch: 12 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.13174 (0.10818) Boundary_loss: 0.012841 (0.012810) Loss: 0.14458 (0.12099) +2025-08-25,17:04:39 | INFO | Train Epoch: 12 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.10514 (0.10817) Boundary_loss: 0.012900 (0.012810) Loss: 0.11804 (0.12098) +2025-08-25,17:05:44 | INFO | Train Epoch: 12 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.10421 (0.10817) Boundary_loss: 0.012888 (0.012810) Loss: 0.11710 (0.12098) +2025-08-25,17:06:48 | INFO | Train Epoch: 12 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.094949 (0.10814) Boundary_loss: 0.012733 (0.012810) Loss: 0.10768 (0.12095) +2025-08-25,17:07:53 | INFO | Train Epoch: 12 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.083993 (0.10809) Boundary_loss: 0.012886 (0.012810) Loss: 0.096878 (0.12090) +2025-08-25,17:08:58 | INFO | Train Epoch: 12 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.12680 (0.10813) Boundary_loss: 0.012866 (0.012810) Loss: 0.13966 (0.12094) +2025-08-25,17:10:03 | INFO | Train Epoch: 12 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.087984 (0.10809) Boundary_loss: 0.012855 (0.012810) Loss: 0.10084 (0.12090) +2025-08-25,17:11:08 | INFO | Train Epoch: 12 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.078447 (0.10803) Boundary_loss: 0.012870 (0.012810) Loss: 0.091317 (0.12084) +2025-08-25,17:12:13 | INFO | Train Epoch: 12 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.11195 (0.10803) Boundary_loss: 0.012808 (0.012810) Loss: 0.12476 (0.12084) +2025-08-25,17:13:18 | INFO | Train Epoch: 12 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.13370 (0.10809) Boundary_loss: 0.012721 (0.012810) Loss: 0.14642 (0.12090) +2025-08-25,17:14:23 | INFO | Train Epoch: 12 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.071718 (0.10801) Boundary_loss: 0.012774 (0.012810) Loss: 0.084492 (0.12082) +2025-08-25,17:15:28 | INFO | Train Epoch: 12 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.12822 (0.10805) Boundary_loss: 0.012756 (0.012810) Loss: 0.14097 (0.12086) +2025-08-25,17:16:33 | INFO | Train Epoch: 12 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.11204 (0.10806) Boundary_loss: 0.012763 (0.012810) Loss: 0.12480 (0.12087) +2025-08-25,17:17:38 | INFO | Train Epoch: 12 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.11000 (0.10806) Boundary_loss: 0.012715 (0.012810) Loss: 0.12271 (0.12087) +2025-08-25,17:18:43 | INFO | Train Epoch: 12 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.11576 (0.10808) Boundary_loss: 0.012789 (0.012810) Loss: 0.12855 (0.12089) +2025-08-25,17:19:48 | INFO | Train Epoch: 12 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.13536 (0.10813) Boundary_loss: 0.012828 (0.012810) Loss: 0.14819 (0.12094) +2025-08-25,17:20:53 | INFO | Train Epoch: 12 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.13185 (0.10818) Boundary_loss: 0.012829 (0.012810) Loss: 0.14468 (0.12099) +2025-08-25,17:21:58 | INFO | Train Epoch: 12 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.11856 (0.10820) Boundary_loss: 0.012773 (0.012810) Loss: 0.13133 (0.12101) +2025-08-25,17:23:03 | INFO | Train Epoch: 12 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.090096 (0.10817) Boundary_loss: 0.012859 (0.012810) Loss: 0.10295 (0.12098) +2025-08-25,17:24:08 | INFO | Train Epoch: 12 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.094607 (0.10814) Boundary_loss: 0.012762 (0.012810) Loss: 0.10737 (0.12095) +2025-08-25,17:25:13 | INFO | Train Epoch: 12 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.17376 (0.10827) Boundary_loss: 0.012831 (0.012810) Loss: 0.18659 (0.12108) +2025-08-25,17:26:17 | INFO | Train Epoch: 12 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.086621 (0.10823) Boundary_loss: 0.012744 (0.012810) Loss: 0.099365 (0.12104) +2025-08-25,17:27:22 | INFO | Train Epoch: 12 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.10001 (0.10821) Boundary_loss: 0.012790 (0.012809) Loss: 0.11280 (0.12102) +2025-08-25,17:28:27 | INFO | Train Epoch: 12 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.079690 (0.10815) Boundary_loss: 0.012780 (0.012809) Loss: 0.092470 (0.12096) +2025-08-25,17:29:32 | INFO | Train Epoch: 12 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.090190 (0.10812) Boundary_loss: 0.012848 (0.012810) Loss: 0.10304 (0.12093) +2025-08-25,17:30:37 | INFO | Train Epoch: 12 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.079510 (0.10806) Boundary_loss: 0.012807 (0.012810) Loss: 0.092317 (0.12087) +2025-08-25,17:31:42 | INFO | Train Epoch: 12 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.10840 (0.10806) Boundary_loss: 0.012817 (0.012810) Loss: 0.12122 (0.12087) +2025-08-25,17:32:47 | INFO | Train Epoch: 12 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.14202 (0.10813) Boundary_loss: 0.012709 (0.012809) Loss: 0.15473 (0.12094) +2025-08-25,17:33:52 | INFO | Train Epoch: 12 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.13469 (0.10818) Boundary_loss: 0.012742 (0.012809) Loss: 0.14743 (0.12099) +2025-08-25,17:34:57 | INFO | Train Epoch: 12 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.10647 (0.10818) Boundary_loss: 0.012738 (0.012809) Loss: 0.11921 (0.12099) +2025-08-25,17:36:02 | INFO | Train Epoch: 12 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.092056 (0.10815) Boundary_loss: 0.012910 (0.012809) Loss: 0.10497 (0.12096) +2025-08-25,17:37:07 | INFO | Train Epoch: 12 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.086806 (0.10811) Boundary_loss: 0.012803 (0.012809) Loss: 0.099609 (0.12092) +2025-08-25,17:38:12 | INFO | Train Epoch: 12 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.098056 (0.10809) Boundary_loss: 0.012771 (0.012809) Loss: 0.11083 (0.12090) +2025-08-25,17:39:13 | INFO | Train Epoch: 12 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.087411 (0.10805) Boundary_loss: 0.012893 (0.012809) Loss: 0.10030 (0.12086) +2025-08-25,17:39:13 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-25,17:39:13 | INFO | [Epoch 12] Average Step Time: 0.654s | Average GPU Memory: 37.2 GB +2025-08-25,17:39:13 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-25,17:39:13 | INFO | Starting zero-shot imagenet. +2025-08-25,17:39:13 | INFO | Building zero-shot classifier +2025-08-25,17:39:23 | INFO | Using classifier +2025-08-25,17:40:06 | INFO | Finished zero-shot imagenet. +2025-08-25,17:40:06 | INFO | Eval Epoch: 13 imagenet-zeroshot-val-top1: 0.3163 imagenet-zeroshot-val-top5: 0.5912 +2025-08-25,17:40:07 | INFO | Start epoch 13 +2025-08-25,17:40:09 | INFO | Train Epoch: 13 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.060860 (0.060860) Boundary_loss: 0.012760 (0.012760) Loss: 0.073620 (0.073620) +2025-08-25,17:41:14 | INFO | Train Epoch: 13 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.10683 (0.083844) Boundary_loss: 0.012752 (0.012756) Loss: 0.11958 (0.096600) +2025-08-25,17:42:19 | INFO | Train Epoch: 13 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.081507 (0.083065) Boundary_loss: 0.012737 (0.012750) Loss: 0.094244 (0.095814) +2025-08-25,17:43:24 | INFO | Train Epoch: 13 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.097081 (0.086569) Boundary_loss: 0.012845 (0.012773) Loss: 0.10993 (0.099342) +2025-08-25,17:44:29 | INFO | Train Epoch: 13 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.10356 (0.089968) Boundary_loss: 0.012782 (0.012775) Loss: 0.11635 (0.10274) +2025-08-25,17:45:33 | INFO | Train Epoch: 13 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.082337 (0.088696) Boundary_loss: 0.012806 (0.012780) Loss: 0.095143 (0.10148) +2025-08-25,17:46:38 | INFO | Train Epoch: 13 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.11312 (0.092185) Boundary_loss: 0.012860 (0.012792) Loss: 0.12598 (0.10498) +2025-08-25,17:47:43 | INFO | Train Epoch: 13 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.092382 (0.092210) Boundary_loss: 0.012741 (0.012785) Loss: 0.10512 (0.10500) +2025-08-25,17:48:48 | INFO | Train Epoch: 13 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.063911 (0.089066) Boundary_loss: 0.012868 (0.012794) Loss: 0.076779 (0.10186) +2025-08-25,17:49:53 | INFO | Train Epoch: 13 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.091546 (0.089314) Boundary_loss: 0.012826 (0.012798) Loss: 0.10437 (0.10211) +2025-08-25,17:50:57 | INFO | Train Epoch: 13 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.10224 (0.090489) Boundary_loss: 0.012865 (0.012804) Loss: 0.11511 (0.10329) +2025-08-25,17:52:02 | INFO | Train Epoch: 13 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.10277 (0.091513) Boundary_loss: 0.012873 (0.012809) Loss: 0.11564 (0.10432) +2025-08-25,17:53:07 | INFO | Train Epoch: 13 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.086280 (0.091110) Boundary_loss: 0.012709 (0.012802) Loss: 0.098988 (0.10391) +2025-08-25,17:54:12 | INFO | Train Epoch: 13 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.12632 (0.093625) Boundary_loss: 0.012722 (0.012796) Loss: 0.13904 (0.10642) +2025-08-25,17:55:17 | INFO | Train Epoch: 13 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.068807 (0.091971) Boundary_loss: 0.012765 (0.012794) Loss: 0.081572 (0.10476) +2025-08-25,17:56:21 | INFO | Train Epoch: 13 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.12090 (0.093779) Boundary_loss: 0.012761 (0.012792) Loss: 0.13366 (0.10657) +2025-08-25,17:57:26 | INFO | Train Epoch: 13 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.086008 (0.093322) Boundary_loss: 0.012727 (0.012788) Loss: 0.098734 (0.10611) +2025-08-25,17:58:31 | INFO | Train Epoch: 13 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.074889 (0.092298) Boundary_loss: 0.012752 (0.012786) Loss: 0.087641 (0.10508) +2025-08-25,17:59:36 | INFO | Train Epoch: 13 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.627 Boundary Ratio: 0.100 Contrastive_loss: 0.092218 (0.092293) Boundary_loss: 0.012787 (0.012786) Loss: 0.10501 (0.10508) +2025-08-25,18:00:40 | INFO | Train Epoch: 13 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.089185 (0.092138) Boundary_loss: 0.012769 (0.012785) Loss: 0.10195 (0.10492) +2025-08-25,18:01:45 | INFO | Train Epoch: 13 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.088919 (0.091985) Boundary_loss: 0.012790 (0.012785) Loss: 0.10171 (0.10477) +2025-08-25,18:02:50 | INFO | Train Epoch: 13 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.12776 (0.093611) Boundary_loss: 0.012800 (0.012786) Loss: 0.14056 (0.10640) +2025-08-25,18:03:55 | INFO | Train Epoch: 13 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.077901 (0.092928) Boundary_loss: 0.012700 (0.012782) Loss: 0.090602 (0.10571) +2025-08-25,18:05:00 | INFO | Train Epoch: 13 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.096628 (0.093082) Boundary_loss: 0.012780 (0.012782) Loss: 0.10941 (0.10586) +2025-08-25,18:06:04 | INFO | Train Epoch: 13 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.10466 (0.093545) Boundary_loss: 0.012777 (0.012782) Loss: 0.11744 (0.10633) +2025-08-25,18:07:09 | INFO | Train Epoch: 13 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.087032 (0.093295) Boundary_loss: 0.012851 (0.012785) Loss: 0.099884 (0.10608) +2025-08-25,18:08:14 | INFO | Train Epoch: 13 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.11349 (0.094043) Boundary_loss: 0.012760 (0.012784) Loss: 0.12625 (0.10683) +2025-08-25,18:09:19 | INFO | Train Epoch: 13 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.10114 (0.094296) Boundary_loss: 0.012817 (0.012785) Loss: 0.11395 (0.10708) +2025-08-25,18:10:24 | INFO | Train Epoch: 13 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 0.090704 (0.094172) Boundary_loss: 0.012813 (0.012786) Loss: 0.10352 (0.10696) +2025-08-25,18:11:28 | INFO | Train Epoch: 13 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.075256 (0.093542) Boundary_loss: 0.012767 (0.012785) Loss: 0.088023 (0.10633) +2025-08-25,18:12:33 | INFO | Train Epoch: 13 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.064155 (0.092594) Boundary_loss: 0.012784 (0.012785) Loss: 0.076938 (0.10538) +2025-08-25,18:13:38 | INFO | Train Epoch: 13 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.072335 (0.091961) Boundary_loss: 0.012748 (0.012784) Loss: 0.085083 (0.10474) +2025-08-25,18:14:43 | INFO | Train Epoch: 13 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.11399 (0.092628) Boundary_loss: 0.012905 (0.012788) Loss: 0.12689 (0.10542) +2025-08-25,18:15:48 | INFO | Train Epoch: 13 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.084801 (0.092398) Boundary_loss: 0.012807 (0.012788) Loss: 0.097607 (0.10519) +2025-08-25,18:16:53 | INFO | Train Epoch: 13 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.096985 (0.092529) Boundary_loss: 0.012809 (0.012789) Loss: 0.10979 (0.10532) +2025-08-25,18:17:57 | INFO | Train Epoch: 13 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 18.955 Boundary Ratio: 0.097 Contrastive_loss: 0.090263 (0.092466) Boundary_loss: 0.012800 (0.012789) Loss: 0.10306 (0.10526) +2025-08-25,18:19:02 | INFO | Train Epoch: 13 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.067463 (0.091790) Boundary_loss: 0.012777 (0.012789) Loss: 0.080240 (0.10458) +2025-08-25,18:20:07 | INFO | Train Epoch: 13 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.099197 (0.091985) Boundary_loss: 0.012798 (0.012789) Loss: 0.11199 (0.10477) +2025-08-25,18:21:12 | INFO | Train Epoch: 13 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.083268 (0.091762) Boundary_loss: 0.012826 (0.012790) Loss: 0.096094 (0.10455) +2025-08-25,18:22:17 | INFO | Train Epoch: 13 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.097799 (0.091913) Boundary_loss: 0.012772 (0.012790) Loss: 0.11057 (0.10470) +2025-08-25,18:23:22 | INFO | Train Epoch: 13 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.079135 (0.091601) Boundary_loss: 0.012800 (0.012790) Loss: 0.091936 (0.10439) +2025-08-25,18:24:26 | INFO | Train Epoch: 13 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.10737 (0.091976) Boundary_loss: 0.012790 (0.012790) Loss: 0.12016 (0.10477) +2025-08-25,18:25:31 | INFO | Train Epoch: 13 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.069614 (0.091456) Boundary_loss: 0.012813 (0.012790) Loss: 0.082427 (0.10425) +2025-08-25,18:26:36 | INFO | Train Epoch: 13 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.083477 (0.091275) Boundary_loss: 0.012799 (0.012791) Loss: 0.096277 (0.10407) +2025-08-25,18:27:41 | INFO | Train Epoch: 13 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.11250 (0.091746) Boundary_loss: 0.012811 (0.012791) Loss: 0.12531 (0.10454) +2025-08-25,18:28:46 | INFO | Train Epoch: 13 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.087185 (0.091647) Boundary_loss: 0.012768 (0.012791) Loss: 0.099953 (0.10444) +2025-08-25,18:29:51 | INFO | Train Epoch: 13 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.11051 (0.092049) Boundary_loss: 0.012774 (0.012790) Loss: 0.12328 (0.10484) +2025-08-25,18:30:55 | INFO | Train Epoch: 13 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.079694 (0.091791) Boundary_loss: 0.012876 (0.012792) Loss: 0.092570 (0.10458) +2025-08-25,18:32:00 | INFO | Train Epoch: 13 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.094845 (0.091854) Boundary_loss: 0.012844 (0.012793) Loss: 0.10769 (0.10465) +2025-08-25,18:33:05 | INFO | Train Epoch: 13 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.096104 (0.091939) Boundary_loss: 0.012790 (0.012793) Loss: 0.10889 (0.10473) +2025-08-25,18:34:10 | INFO | Train Epoch: 13 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.12254 (0.092539) Boundary_loss: 0.012862 (0.012794) Loss: 0.13540 (0.10533) +2025-08-25,18:35:15 | INFO | Train Epoch: 13 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.072731 (0.092158) Boundary_loss: 0.012882 (0.012796) Loss: 0.085613 (0.10495) +2025-08-25,18:36:20 | INFO | Train Epoch: 13 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.096034 (0.092231) Boundary_loss: 0.012834 (0.012797) Loss: 0.10887 (0.10503) +2025-08-25,18:37:25 | INFO | Train Epoch: 13 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.080320 (0.092010) Boundary_loss: 0.012768 (0.012796) Loss: 0.093088 (0.10481) +2025-08-25,18:38:30 | INFO | Train Epoch: 13 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.095581 (0.092075) Boundary_loss: 0.012809 (0.012796) Loss: 0.10839 (0.10487) +2025-08-25,18:39:34 | INFO | Train Epoch: 13 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.11534 (0.092491) Boundary_loss: 0.012831 (0.012797) Loss: 0.12817 (0.10529) +2025-08-25,18:40:39 | INFO | Train Epoch: 13 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.091919 (0.092481) Boundary_loss: 0.012713 (0.012796) Loss: 0.10463 (0.10528) +2025-08-25,18:41:44 | INFO | Train Epoch: 13 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.11112 (0.092802) Boundary_loss: 0.012781 (0.012795) Loss: 0.12390 (0.10560) +2025-08-25,18:42:49 | INFO | Train Epoch: 13 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.10921 (0.093080) Boundary_loss: 0.012748 (0.012795) Loss: 0.12196 (0.10587) +2025-08-25,18:43:54 | INFO | Train Epoch: 13 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.10313 (0.093248) Boundary_loss: 0.012739 (0.012794) Loss: 0.11587 (0.10604) +2025-08-25,18:44:59 | INFO | Train Epoch: 13 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.10637 (0.093463) Boundary_loss: 0.012767 (0.012793) Loss: 0.11914 (0.10626) +2025-08-25,18:46:04 | INFO | Train Epoch: 13 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.093153 (0.093458) Boundary_loss: 0.012793 (0.012793) Loss: 0.10595 (0.10625) +2025-08-25,18:47:09 | INFO | Train Epoch: 13 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.085383 (0.093330) Boundary_loss: 0.012773 (0.012793) Loss: 0.098157 (0.10612) +2025-08-25,18:48:14 | INFO | Train Epoch: 13 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.077194 (0.093078) Boundary_loss: 0.012865 (0.012794) Loss: 0.090059 (0.10587) +2025-08-25,18:49:18 | INFO | Train Epoch: 13 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.12700 (0.093599) Boundary_loss: 0.012855 (0.012795) Loss: 0.13985 (0.10639) +2025-08-25,18:50:23 | INFO | Train Epoch: 13 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.10637 (0.093793) Boundary_loss: 0.012732 (0.012794) Loss: 0.11910 (0.10659) +2025-08-25,18:51:28 | INFO | Train Epoch: 13 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.096976 (0.093840) Boundary_loss: 0.012845 (0.012795) Loss: 0.10982 (0.10664) +2025-08-25,18:52:33 | INFO | Train Epoch: 13 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.074352 (0.093554) Boundary_loss: 0.012739 (0.012794) Loss: 0.087091 (0.10635) +2025-08-25,18:53:38 | INFO | Train Epoch: 13 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.069411 (0.093204) Boundary_loss: 0.012775 (0.012794) Loss: 0.082185 (0.10600) +2025-08-25,18:54:43 | INFO | Train Epoch: 13 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.099000 (0.093287) Boundary_loss: 0.012902 (0.012795) Loss: 0.11190 (0.10608) +2025-08-25,18:55:48 | INFO | Train Epoch: 13 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.080771 (0.093110) Boundary_loss: 0.012781 (0.012795) Loss: 0.093551 (0.10591) +2025-08-25,18:56:53 | INFO | Train Epoch: 13 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.10449 (0.093268) Boundary_loss: 0.012810 (0.012795) Loss: 0.11730 (0.10606) +2025-08-25,18:57:58 | INFO | Train Epoch: 13 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.075472 (0.093025) Boundary_loss: 0.012825 (0.012796) Loss: 0.088297 (0.10582) +2025-08-25,18:59:03 | INFO | Train Epoch: 13 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.077234 (0.092811) Boundary_loss: 0.012818 (0.012796) Loss: 0.090051 (0.10561) +2025-08-25,19:00:07 | INFO | Train Epoch: 13 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.16747 (0.093807) Boundary_loss: 0.012765 (0.012795) Loss: 0.18023 (0.10660) +2025-08-25,19:01:12 | INFO | Train Epoch: 13 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.065351 (0.093432) Boundary_loss: 0.012815 (0.012796) Loss: 0.078165 (0.10623) +2025-08-25,19:02:17 | INFO | Train Epoch: 13 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.10292 (0.093555) Boundary_loss: 0.012860 (0.012797) Loss: 0.11578 (0.10635) +2025-08-25,19:03:22 | INFO | Train Epoch: 13 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.081773 (0.093404) Boundary_loss: 0.012882 (0.012798) Loss: 0.094655 (0.10620) +2025-08-25,19:04:27 | INFO | Train Epoch: 13 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.093616 (0.093407) Boundary_loss: 0.012929 (0.012799) Loss: 0.10654 (0.10621) +2025-08-25,19:05:32 | INFO | Train Epoch: 13 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.080887 (0.093251) Boundary_loss: 0.012784 (0.012799) Loss: 0.093671 (0.10605) +2025-08-25,19:06:37 | INFO | Train Epoch: 13 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.087697 (0.093182) Boundary_loss: 0.012838 (0.012800) Loss: 0.10053 (0.10598) +2025-08-25,19:07:42 | INFO | Train Epoch: 13 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.084208 (0.093073) Boundary_loss: 0.012917 (0.012801) Loss: 0.097126 (0.10587) +2025-08-25,19:08:47 | INFO | Train Epoch: 13 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.10416 (0.093206) Boundary_loss: 0.012781 (0.012801) Loss: 0.11694 (0.10601) +2025-08-25,19:09:52 | INFO | Train Epoch: 13 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.088866 (0.093154) Boundary_loss: 0.012734 (0.012800) Loss: 0.10160 (0.10595) +2025-08-25,19:10:56 | INFO | Train Epoch: 13 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.093855 (0.093163) Boundary_loss: 0.012861 (0.012801) Loss: 0.10672 (0.10596) +2025-08-25,19:12:01 | INFO | Train Epoch: 13 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.10769 (0.093332) Boundary_loss: 0.012788 (0.012801) Loss: 0.12048 (0.10613) +2025-08-25,19:13:06 | INFO | Train Epoch: 13 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.073880 (0.093108) Boundary_loss: 0.012811 (0.012801) Loss: 0.086690 (0.10591) +2025-08-25,19:14:11 | INFO | Train Epoch: 13 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.081089 (0.092971) Boundary_loss: 0.012821 (0.012801) Loss: 0.093910 (0.10577) +2025-08-25,19:15:16 | INFO | Train Epoch: 13 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.071494 (0.092730) Boundary_loss: 0.012763 (0.012800) Loss: 0.084257 (0.10553) +2025-08-25,19:16:21 | INFO | Train Epoch: 13 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.096515 (0.092772) Boundary_loss: 0.012835 (0.012801) Loss: 0.10935 (0.10557) +2025-08-25,19:17:26 | INFO | Train Epoch: 13 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.062416 (0.092439) Boundary_loss: 0.012789 (0.012801) Loss: 0.075205 (0.10524) +2025-08-25,19:18:31 | INFO | Train Epoch: 13 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.077053 (0.092271) Boundary_loss: 0.012721 (0.012800) Loss: 0.089774 (0.10507) +2025-08-25,19:19:35 | INFO | Train Epoch: 13 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.12944 (0.092671) Boundary_loss: 0.012725 (0.012799) Loss: 0.14216 (0.10547) +2025-08-25,19:20:40 | INFO | Train Epoch: 13 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.12007 (0.092962) Boundary_loss: 0.012731 (0.012798) Loss: 0.13280 (0.10576) +2025-08-25,19:21:45 | INFO | Train Epoch: 13 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.092895 (0.092962) Boundary_loss: 0.012701 (0.012797) Loss: 0.10560 (0.10576) +2025-08-25,19:22:50 | INFO | Train Epoch: 13 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.091075 (0.092942) Boundary_loss: 0.012754 (0.012797) Loss: 0.10383 (0.10574) +2025-08-25,19:23:55 | INFO | Train Epoch: 13 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.097771 (0.092992) Boundary_loss: 0.012753 (0.012796) Loss: 0.11052 (0.10579) +2025-08-25,19:25:00 | INFO | Train Epoch: 13 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.11009 (0.093166) Boundary_loss: 0.012870 (0.012797) Loss: 0.12296 (0.10596) +2025-08-25,19:26:05 | INFO | Train Epoch: 13 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.059611 (0.092827) Boundary_loss: 0.012830 (0.012798) Loss: 0.072441 (0.10562) +2025-08-25,19:27:10 | INFO | Train Epoch: 13 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.084286 (0.092742) Boundary_loss: 0.012905 (0.012799) Loss: 0.097191 (0.10554) +2025-08-25,19:28:15 | INFO | Train Epoch: 13 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.095189 (0.092766) Boundary_loss: 0.012794 (0.012799) Loss: 0.10798 (0.10556) +2025-08-25,19:29:19 | INFO | Train Epoch: 13 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.086197 (0.092702) Boundary_loss: 0.012760 (0.012798) Loss: 0.098957 (0.10550) +2025-08-25,19:30:24 | INFO | Train Epoch: 13 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.086800 (0.092644) Boundary_loss: 0.012793 (0.012798) Loss: 0.099593 (0.10544) +2025-08-25,19:31:29 | INFO | Train Epoch: 13 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.069997 (0.092427) Boundary_loss: 0.012849 (0.012799) Loss: 0.082845 (0.10523) +2025-08-25,19:32:34 | INFO | Train Epoch: 13 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.070709 (0.092220) Boundary_loss: 0.012838 (0.012799) Loss: 0.083546 (0.10502) +2025-08-25,19:33:39 | INFO | Train Epoch: 13 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.11190 (0.092405) Boundary_loss: 0.012734 (0.012798) Loss: 0.12463 (0.10520) +2025-08-25,19:34:44 | INFO | Train Epoch: 13 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.096410 (0.092443) Boundary_loss: 0.012890 (0.012799) Loss: 0.10930 (0.10524) +2025-08-25,19:35:49 | INFO | Train Epoch: 13 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.12401 (0.092735) Boundary_loss: 0.012742 (0.012799) Loss: 0.13675 (0.10553) +2025-08-25,19:36:54 | INFO | Train Epoch: 13 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.098680 (0.092790) Boundary_loss: 0.012788 (0.012799) Loss: 0.11147 (0.10559) +2025-08-25,19:37:58 | INFO | Train Epoch: 13 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.089737 (0.092762) Boundary_loss: 0.012797 (0.012799) Loss: 0.10253 (0.10556) +2025-08-25,19:39:03 | INFO | Train Epoch: 13 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.085802 (0.092699) Boundary_loss: 0.012759 (0.012798) Loss: 0.098561 (0.10550) +2025-08-25,19:40:08 | INFO | Train Epoch: 13 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.079521 (0.092582) Boundary_loss: 0.012842 (0.012799) Loss: 0.092363 (0.10538) +2025-08-25,19:41:13 | INFO | Train Epoch: 13 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 18.920 Boundary Ratio: 0.097 Contrastive_loss: 0.099532 (0.092643) Boundary_loss: 0.012813 (0.012799) Loss: 0.11235 (0.10544) +2025-08-25,19:42:18 | INFO | Train Epoch: 13 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.073975 (0.092479) Boundary_loss: 0.012770 (0.012798) Loss: 0.086745 (0.10528) +2025-08-25,19:43:23 | INFO | Train Epoch: 13 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.098504 (0.092532) Boundary_loss: 0.012706 (0.012798) Loss: 0.11121 (0.10533) +2025-08-25,19:44:28 | INFO | Train Epoch: 13 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.087964 (0.092492) Boundary_loss: 0.012840 (0.012798) Loss: 0.10080 (0.10529) +2025-08-25,19:45:32 | INFO | Train Epoch: 13 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.14027 (0.092901) Boundary_loss: 0.012793 (0.012798) Loss: 0.15307 (0.10570) +2025-08-25,19:46:37 | INFO | Train Epoch: 13 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.090246 (0.092878) Boundary_loss: 0.012837 (0.012798) Loss: 0.10308 (0.10568) +2025-08-25,19:47:42 | INFO | Train Epoch: 13 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.075885 (0.092735) Boundary_loss: 0.012747 (0.012798) Loss: 0.088632 (0.10553) +2025-08-25,19:48:47 | INFO | Train Epoch: 13 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.086643 (0.092685) Boundary_loss: 0.012808 (0.012798) Loss: 0.099451 (0.10548) +2025-08-25,19:49:52 | INFO | Train Epoch: 13 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.073800 (0.092529) Boundary_loss: 0.012801 (0.012798) Loss: 0.086601 (0.10533) +2025-08-25,19:50:57 | INFO | Train Epoch: 13 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.085715 (0.092473) Boundary_loss: 0.012782 (0.012798) Loss: 0.098497 (0.10527) +2025-08-25,19:52:02 | INFO | Train Epoch: 13 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.086497 (0.092424) Boundary_loss: 0.012788 (0.012798) Loss: 0.099285 (0.10522) +2025-08-25,19:53:07 | INFO | Train Epoch: 13 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.098970 (0.092477) Boundary_loss: 0.012841 (0.012798) Loss: 0.11181 (0.10528) +2025-08-25,19:54:12 | INFO | Train Epoch: 13 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.094764 (0.092495) Boundary_loss: 0.012768 (0.012798) Loss: 0.10753 (0.10529) +2025-08-25,19:55:16 | INFO | Train Epoch: 13 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.11032 (0.092637) Boundary_loss: 0.012831 (0.012798) Loss: 0.12315 (0.10543) +2025-08-25,19:56:21 | INFO | Train Epoch: 13 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.097862 (0.092678) Boundary_loss: 0.012845 (0.012799) Loss: 0.11071 (0.10548) +2025-08-25,19:57:26 | INFO | Train Epoch: 13 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.12644 (0.092942) Boundary_loss: 0.012775 (0.012798) Loss: 0.13922 (0.10574) +2025-08-25,19:58:31 | INFO | Train Epoch: 13 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.085827 (0.092886) Boundary_loss: 0.012772 (0.012798) Loss: 0.098599 (0.10568) +2025-08-25,19:59:36 | INFO | Train Epoch: 13 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.079325 (0.092782) Boundary_loss: 0.012773 (0.012798) Loss: 0.092098 (0.10558) +2025-08-25,20:00:41 | INFO | Train Epoch: 13 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.078556 (0.092674) Boundary_loss: 0.012802 (0.012798) Loss: 0.091358 (0.10547) +2025-08-25,20:01:46 | INFO | Train Epoch: 13 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.063637 (0.092454) Boundary_loss: 0.012823 (0.012798) Loss: 0.076460 (0.10525) +2025-08-25,20:02:51 | INFO | Train Epoch: 13 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.10035 (0.092513) Boundary_loss: 0.012848 (0.012799) Loss: 0.11320 (0.10531) +2025-08-25,20:03:56 | INFO | Train Epoch: 13 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.11217 (0.092660) Boundary_loss: 0.012753 (0.012798) Loss: 0.12492 (0.10546) +2025-08-25,20:05:00 | INFO | Train Epoch: 13 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.099680 (0.092712) Boundary_loss: 0.012786 (0.012798) Loss: 0.11247 (0.10551) +2025-08-25,20:06:05 | INFO | Train Epoch: 13 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.075823 (0.092587) Boundary_loss: 0.012744 (0.012798) Loss: 0.088567 (0.10539) +2025-08-25,20:07:10 | INFO | Train Epoch: 13 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 0.081387 (0.092506) Boundary_loss: 0.012706 (0.012797) Loss: 0.094092 (0.10530) +2025-08-25,20:08:15 | INFO | Train Epoch: 13 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.089287 (0.092482) Boundary_loss: 0.012835 (0.012797) Loss: 0.10212 (0.10528) +2025-08-25,20:09:20 | INFO | Train Epoch: 13 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.079962 (0.092392) Boundary_loss: 0.012842 (0.012798) Loss: 0.092805 (0.10519) +2025-08-25,20:10:25 | INFO | Train Epoch: 13 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.14107 (0.092740) Boundary_loss: 0.012756 (0.012797) Loss: 0.15383 (0.10554) +2025-08-25,20:11:30 | INFO | Train Epoch: 13 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.13605 (0.093047) Boundary_loss: 0.012758 (0.012797) Loss: 0.14881 (0.10584) +2025-08-25,20:12:35 | INFO | Train Epoch: 13 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.091922 (0.093039) Boundary_loss: 0.012817 (0.012797) Loss: 0.10474 (0.10584) +2025-08-25,20:13:40 | INFO | Train Epoch: 13 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.065083 (0.092844) Boundary_loss: 0.012890 (0.012798) Loss: 0.077973 (0.10564) +2025-08-25,20:14:45 | INFO | Train Epoch: 13 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.081762 (0.092767) Boundary_loss: 0.012857 (0.012798) Loss: 0.094618 (0.10557) +2025-08-25,20:15:50 | INFO | Train Epoch: 13 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.11722 (0.092935) Boundary_loss: 0.012865 (0.012799) Loss: 0.13008 (0.10573) +2025-08-25,20:16:55 | INFO | Train Epoch: 13 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.11075 (0.093057) Boundary_loss: 0.012780 (0.012799) Loss: 0.12353 (0.10586) +2025-08-25,20:18:00 | INFO | Train Epoch: 13 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.085252 (0.093004) Boundary_loss: 0.012857 (0.012799) Loss: 0.098109 (0.10580) +2025-08-25,20:19:04 | INFO | Train Epoch: 13 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.062567 (0.092799) Boundary_loss: 0.012820 (0.012799) Loss: 0.075388 (0.10560) +2025-08-25,20:20:09 | INFO | Train Epoch: 13 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.10361 (0.092871) Boundary_loss: 0.012824 (0.012799) Loss: 0.11644 (0.10567) +2025-08-25,20:21:14 | INFO | Train Epoch: 13 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.079663 (0.092783) Boundary_loss: 0.012791 (0.012799) Loss: 0.092454 (0.10558) +2025-08-25,20:22:19 | INFO | Train Epoch: 13 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.089255 (0.092760) Boundary_loss: 0.012770 (0.012799) Loss: 0.10202 (0.10556) +2025-08-25,20:23:24 | INFO | Train Epoch: 13 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.091441 (0.092751) Boundary_loss: 0.012738 (0.012799) Loss: 0.10418 (0.10555) +2025-08-25,20:24:29 | INFO | Train Epoch: 13 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.099642 (0.092796) Boundary_loss: 0.012795 (0.012799) Loss: 0.11244 (0.10559) +2025-08-25,20:25:34 | INFO | Train Epoch: 13 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.097978 (0.092830) Boundary_loss: 0.012830 (0.012799) Loss: 0.11081 (0.10563) +2025-08-25,20:26:39 | INFO | Train Epoch: 13 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.10622 (0.092916) Boundary_loss: 0.012851 (0.012799) Loss: 0.11907 (0.10572) +2025-08-25,20:27:44 | INFO | Train Epoch: 13 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.094176 (0.092924) Boundary_loss: 0.012806 (0.012799) Loss: 0.10698 (0.10572) +2025-08-25,20:28:49 | INFO | Train Epoch: 13 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.076849 (0.092822) Boundary_loss: 0.012738 (0.012799) Loss: 0.089587 (0.10562) +2025-08-25,20:29:54 | INFO | Train Epoch: 13 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.063002 (0.092633) Boundary_loss: 0.012769 (0.012799) Loss: 0.075771 (0.10543) +2025-08-25,20:30:59 | INFO | Train Epoch: 13 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.10199 (0.092692) Boundary_loss: 0.012812 (0.012799) Loss: 0.11481 (0.10549) +2025-08-25,20:32:04 | INFO | Train Epoch: 13 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.092082 (0.092688) Boundary_loss: 0.012779 (0.012799) Loss: 0.10486 (0.10549) +2025-08-25,20:33:09 | INFO | Train Epoch: 13 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.099845 (0.092733) Boundary_loss: 0.012803 (0.012799) Loss: 0.11265 (0.10553) +2025-08-25,20:34:13 | INFO | Train Epoch: 13 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.074461 (0.092620) Boundary_loss: 0.012717 (0.012798) Loss: 0.087178 (0.10542) +2025-08-25,20:35:18 | INFO | Train Epoch: 13 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.10419 (0.092691) Boundary_loss: 0.012874 (0.012799) Loss: 0.11706 (0.10549) +2025-08-25,20:36:23 | INFO | Train Epoch: 13 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.088651 (0.092666) Boundary_loss: 0.012872 (0.012799) Loss: 0.10152 (0.10547) +2025-08-25,20:37:28 | INFO | Train Epoch: 13 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.079311 (0.092585) Boundary_loss: 0.012708 (0.012798) Loss: 0.092019 (0.10538) +2025-08-25,20:38:33 | INFO | Train Epoch: 13 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.058837 (0.092382) Boundary_loss: 0.012728 (0.012798) Loss: 0.071565 (0.10518) +2025-08-25,20:39:38 | INFO | Train Epoch: 13 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.074635 (0.092276) Boundary_loss: 0.012818 (0.012798) Loss: 0.087453 (0.10507) +2025-08-25,20:40:43 | INFO | Train Epoch: 13 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.084607 (0.092230) Boundary_loss: 0.012709 (0.012798) Loss: 0.097316 (0.10503) +2025-08-25,20:41:48 | INFO | Train Epoch: 13 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.069934 (0.092098) Boundary_loss: 0.012730 (0.012797) Loss: 0.082664 (0.10490) +2025-08-25,20:42:53 | INFO | Train Epoch: 13 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.10675 (0.092184) Boundary_loss: 0.012742 (0.012797) Loss: 0.11949 (0.10498) +2025-08-25,20:43:58 | INFO | Train Epoch: 13 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.070657 (0.092058) Boundary_loss: 0.012761 (0.012797) Loss: 0.083418 (0.10486) +2025-08-25,20:45:03 | INFO | Train Epoch: 13 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.086207 (0.092024) Boundary_loss: 0.012817 (0.012797) Loss: 0.099025 (0.10482) +2025-08-25,20:46:08 | INFO | Train Epoch: 13 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.071240 (0.091904) Boundary_loss: 0.012927 (0.012798) Loss: 0.084167 (0.10470) +2025-08-25,20:47:13 | INFO | Train Epoch: 13 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.079978 (0.091836) Boundary_loss: 0.012714 (0.012797) Loss: 0.092692 (0.10463) +2025-08-25,20:48:18 | INFO | Train Epoch: 13 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.093772 (0.091847) Boundary_loss: 0.012796 (0.012797) Loss: 0.10657 (0.10464) +2025-08-25,20:49:23 | INFO | Train Epoch: 13 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.10699 (0.091933) Boundary_loss: 0.012790 (0.012797) Loss: 0.11978 (0.10473) +2025-08-25,20:50:28 | INFO | Train Epoch: 13 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.087967 (0.091910) Boundary_loss: 0.012803 (0.012797) Loss: 0.10077 (0.10471) +2025-08-25,20:51:33 | INFO | Train Epoch: 13 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.076299 (0.091823) Boundary_loss: 0.012725 (0.012797) Loss: 0.089024 (0.10462) +2025-08-25,20:52:38 | INFO | Train Epoch: 13 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.051809 (0.091599) Boundary_loss: 0.012803 (0.012797) Loss: 0.064613 (0.10440) +2025-08-25,20:53:43 | INFO | Train Epoch: 13 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.066668 (0.091461) Boundary_loss: 0.012739 (0.012796) Loss: 0.079407 (0.10426) +2025-08-25,20:54:48 | INFO | Train Epoch: 13 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.093576 (0.091472) Boundary_loss: 0.012887 (0.012797) Loss: 0.10646 (0.10427) +2025-08-25,20:55:53 | INFO | Train Epoch: 13 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.10162 (0.091528) Boundary_loss: 0.012802 (0.012797) Loss: 0.11442 (0.10433) +2025-08-25,20:56:57 | INFO | Train Epoch: 13 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.091268 (0.091527) Boundary_loss: 0.012875 (0.012797) Loss: 0.10414 (0.10432) +2025-08-25,20:58:02 | INFO | Train Epoch: 13 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.10271 (0.091587) Boundary_loss: 0.012785 (0.012797) Loss: 0.11550 (0.10438) +2025-08-25,20:59:07 | INFO | Train Epoch: 13 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.074430 (0.091495) Boundary_loss: 0.012775 (0.012797) Loss: 0.087205 (0.10429) +2025-08-25,21:00:12 | INFO | Train Epoch: 13 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.059389 (0.091322) Boundary_loss: 0.012853 (0.012797) Loss: 0.072242 (0.10412) +2025-08-25,21:01:17 | INFO | Train Epoch: 13 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.096448 (0.091350) Boundary_loss: 0.012880 (0.012798) Loss: 0.10933 (0.10415) +2025-08-25,21:02:22 | INFO | Train Epoch: 13 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.080685 (0.091293) Boundary_loss: 0.012761 (0.012798) Loss: 0.093446 (0.10409) +2025-08-25,21:03:27 | INFO | Train Epoch: 13 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.066268 (0.091160) Boundary_loss: 0.012938 (0.012798) Loss: 0.079206 (0.10396) +2025-08-25,21:04:32 | INFO | Train Epoch: 13 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.087055 (0.091139) Boundary_loss: 0.012705 (0.012798) Loss: 0.099761 (0.10394) +2025-08-25,21:05:37 | INFO | Train Epoch: 13 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.080498 (0.091083) Boundary_loss: 0.012724 (0.012798) Loss: 0.093222 (0.10388) +2025-08-25,21:06:42 | INFO | Train Epoch: 13 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.10846 (0.091174) Boundary_loss: 0.012746 (0.012797) Loss: 0.12121 (0.10397) +2025-08-25,21:07:47 | INFO | Train Epoch: 13 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.079686 (0.091114) Boundary_loss: 0.012796 (0.012797) Loss: 0.092482 (0.10391) +2025-08-25,21:08:52 | INFO | Train Epoch: 13 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.11096 (0.091216) Boundary_loss: 0.012756 (0.012797) Loss: 0.12372 (0.10401) +2025-08-25,21:09:57 | INFO | Train Epoch: 13 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.094243 (0.091232) Boundary_loss: 0.012827 (0.012797) Loss: 0.10707 (0.10403) +2025-08-25,21:11:02 | INFO | Train Epoch: 13 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.088999 (0.091220) Boundary_loss: 0.012798 (0.012797) Loss: 0.10180 (0.10402) +2025-08-25,21:12:07 | INFO | Train Epoch: 13 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.082797 (0.091178) Boundary_loss: 0.012833 (0.012797) Loss: 0.095631 (0.10398) +2025-08-25,21:13:12 | INFO | Train Epoch: 13 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.10862 (0.091266) Boundary_loss: 0.012758 (0.012797) Loss: 0.12138 (0.10406) +2025-08-25,21:14:17 | INFO | Train Epoch: 13 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.067290 (0.091145) Boundary_loss: 0.012796 (0.012797) Loss: 0.080086 (0.10394) +2025-08-25,21:15:22 | INFO | Train Epoch: 13 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.097413 (0.091177) Boundary_loss: 0.012827 (0.012797) Loss: 0.11024 (0.10397) +2025-08-25,21:16:27 | INFO | Train Epoch: 13 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.080798 (0.091125) Boundary_loss: 0.012785 (0.012797) Loss: 0.093583 (0.10392) +2025-08-25,21:17:32 | INFO | Train Epoch: 13 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.089808 (0.091119) Boundary_loss: 0.012843 (0.012798) Loss: 0.10265 (0.10392) +2025-08-25,21:18:37 | INFO | Train Epoch: 13 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.073813 (0.091033) Boundary_loss: 0.012790 (0.012798) Loss: 0.086603 (0.10383) +2025-08-25,21:19:42 | INFO | Train Epoch: 13 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.055722 (0.090860) Boundary_loss: 0.012773 (0.012797) Loss: 0.068495 (0.10366) +2025-08-25,21:20:47 | INFO | Train Epoch: 13 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.12618 (0.091032) Boundary_loss: 0.012750 (0.012797) Loss: 0.13893 (0.10383) +2025-08-25,21:21:52 | INFO | Train Epoch: 13 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.11818 (0.091164) Boundary_loss: 0.012825 (0.012797) Loss: 0.13100 (0.10396) +2025-08-25,21:22:57 | INFO | Train Epoch: 13 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.10799 (0.091246) Boundary_loss: 0.012727 (0.012797) Loss: 0.12072 (0.10404) +2025-08-25,21:24:01 | INFO | Train Epoch: 13 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.10346 (0.091304) Boundary_loss: 0.012747 (0.012797) Loss: 0.11621 (0.10410) +2025-08-25,21:25:06 | INFO | Train Epoch: 13 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.067544 (0.091191) Boundary_loss: 0.012756 (0.012797) Loss: 0.080300 (0.10399) +2025-08-25,21:26:11 | INFO | Train Epoch: 13 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.10890 (0.091275) Boundary_loss: 0.012802 (0.012797) Loss: 0.12170 (0.10407) +2025-08-25,21:27:16 | INFO | Train Epoch: 13 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.080309 (0.091223) Boundary_loss: 0.012900 (0.012797) Loss: 0.093209 (0.10402) +2025-08-25,21:28:21 | INFO | Train Epoch: 13 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.077936 (0.091160) Boundary_loss: 0.012796 (0.012797) Loss: 0.090732 (0.10396) +2025-08-25,21:29:26 | INFO | Train Epoch: 13 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 0.070442 (0.091063) Boundary_loss: 0.012770 (0.012797) Loss: 0.083212 (0.10386) +2025-08-25,21:30:31 | INFO | Train Epoch: 13 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.092884 (0.091071) Boundary_loss: 0.012741 (0.012797) Loss: 0.10563 (0.10387) +2025-08-25,21:31:36 | INFO | Train Epoch: 13 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.086120 (0.091048) Boundary_loss: 0.012812 (0.012797) Loss: 0.098932 (0.10385) +2025-08-25,21:32:41 | INFO | Train Epoch: 13 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.083654 (0.091014) Boundary_loss: 0.012786 (0.012797) Loss: 0.096440 (0.10381) +2025-08-25,21:33:46 | INFO | Train Epoch: 13 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.074858 (0.090940) Boundary_loss: 0.012798 (0.012797) Loss: 0.087656 (0.10374) +2025-08-25,21:34:51 | INFO | Train Epoch: 13 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.098182 (0.090973) Boundary_loss: 0.012935 (0.012797) Loss: 0.11112 (0.10377) +2025-08-25,21:35:56 | INFO | Train Epoch: 13 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.093390 (0.090984) Boundary_loss: 0.012758 (0.012797) Loss: 0.10615 (0.10378) +2025-08-25,21:37:01 | INFO | Train Epoch: 13 [11213312/26365952 (43%)] Avg Boundaries (per batch): 18.984 Boundary Ratio: 0.097 Contrastive_loss: 0.079403 (0.090931) Boundary_loss: 0.012794 (0.012797) Loss: 0.092197 (0.10373) +2025-08-25,21:38:06 | INFO | Train Epoch: 13 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.093668 (0.090944) Boundary_loss: 0.012781 (0.012797) Loss: 0.10645 (0.10374) +2025-08-25,21:39:10 | INFO | Train Epoch: 13 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.073902 (0.090867) Boundary_loss: 0.012778 (0.012797) Loss: 0.086681 (0.10366) +2025-08-25,21:40:15 | INFO | Train Epoch: 13 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.068215 (0.090765) Boundary_loss: 0.012775 (0.012797) Loss: 0.080990 (0.10356) +2025-08-25,21:41:20 | INFO | Train Epoch: 13 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.072394 (0.090683) Boundary_loss: 0.012850 (0.012797) Loss: 0.085244 (0.10348) +2025-08-25,21:42:25 | INFO | Train Epoch: 13 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.095649 (0.090705) Boundary_loss: 0.012744 (0.012797) Loss: 0.10839 (0.10350) +2025-08-25,21:43:30 | INFO | Train Epoch: 13 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.081513 (0.090665) Boundary_loss: 0.012831 (0.012797) Loss: 0.094344 (0.10346) +2025-08-25,21:44:35 | INFO | Train Epoch: 13 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.095874 (0.090688) Boundary_loss: 0.012770 (0.012797) Loss: 0.10864 (0.10348) +2025-08-25,21:45:40 | INFO | Train Epoch: 13 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.091695 (0.090692) Boundary_loss: 0.012809 (0.012797) Loss: 0.10450 (0.10349) +2025-08-25,21:46:45 | INFO | Train Epoch: 13 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.095071 (0.090711) Boundary_loss: 0.012721 (0.012797) Loss: 0.10779 (0.10351) +2025-08-25,21:47:50 | INFO | Train Epoch: 13 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.094766 (0.090729) Boundary_loss: 0.012813 (0.012797) Loss: 0.10758 (0.10353) +2025-08-25,21:48:55 | INFO | Train Epoch: 13 [11776512/26365952 (45%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.057751 (0.090586) Boundary_loss: 0.012753 (0.012796) Loss: 0.070504 (0.10338) +2025-08-25,21:50:00 | INFO | Train Epoch: 13 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.076259 (0.090524) Boundary_loss: 0.012786 (0.012796) Loss: 0.089045 (0.10332) +2025-08-25,21:51:05 | INFO | Train Epoch: 13 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.082864 (0.090492) Boundary_loss: 0.012749 (0.012796) Loss: 0.095613 (0.10329) +2025-08-25,21:52:10 | INFO | Train Epoch: 13 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.076083 (0.090430) Boundary_loss: 0.012864 (0.012797) Loss: 0.088947 (0.10323) +2025-08-25,21:53:15 | INFO | Train Epoch: 13 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.11452 (0.090532) Boundary_loss: 0.012775 (0.012796) Loss: 0.12730 (0.10333) +2025-08-25,21:54:20 | INFO | Train Epoch: 13 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.078632 (0.090482) Boundary_loss: 0.012804 (0.012796) Loss: 0.091436 (0.10328) +2025-08-25,21:55:25 | INFO | Train Epoch: 13 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.097230 (0.090511) Boundary_loss: 0.012847 (0.012797) Loss: 0.11008 (0.10331) +2025-08-25,21:56:30 | INFO | Train Epoch: 13 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.097754 (0.090541) Boundary_loss: 0.012938 (0.012797) Loss: 0.11069 (0.10334) +2025-08-25,21:57:35 | INFO | Train Epoch: 13 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.082303 (0.090506) Boundary_loss: 0.012781 (0.012797) Loss: 0.095085 (0.10330) +2025-08-25,21:58:40 | INFO | Train Epoch: 13 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.060634 (0.090382) Boundary_loss: 0.012831 (0.012797) Loss: 0.073465 (0.10318) +2025-08-25,21:59:45 | INFO | Train Epoch: 13 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.088874 (0.090376) Boundary_loss: 0.012843 (0.012798) Loss: 0.10172 (0.10317) +2025-08-25,22:00:50 | INFO | Train Epoch: 13 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.14291 (0.090593) Boundary_loss: 0.012827 (0.012798) Loss: 0.15573 (0.10339) +2025-08-25,22:01:55 | INFO | Train Epoch: 13 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.060125 (0.090467) Boundary_loss: 0.012844 (0.012798) Loss: 0.072968 (0.10327) +2025-08-25,22:03:00 | INFO | Train Epoch: 13 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.059301 (0.090340) Boundary_loss: 0.012852 (0.012798) Loss: 0.072153 (0.10314) +2025-08-25,22:04:05 | INFO | Train Epoch: 13 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.096541 (0.090365) Boundary_loss: 0.012755 (0.012798) Loss: 0.10930 (0.10316) +2025-08-25,22:05:10 | INFO | Train Epoch: 13 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.068264 (0.090275) Boundary_loss: 0.012842 (0.012798) Loss: 0.081106 (0.10307) +2025-08-25,22:06:15 | INFO | Train Epoch: 13 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.068117 (0.090185) Boundary_loss: 0.012792 (0.012798) Loss: 0.080909 (0.10298) +2025-08-25,22:07:20 | INFO | Train Epoch: 13 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.093985 (0.090201) Boundary_loss: 0.012833 (0.012798) Loss: 0.10682 (0.10300) +2025-08-25,22:08:24 | INFO | Train Epoch: 13 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.042931 (0.090011) Boundary_loss: 0.012770 (0.012798) Loss: 0.055701 (0.10281) +2025-08-25,22:09:29 | INFO | Train Epoch: 13 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.054397 (0.089868) Boundary_loss: 0.012781 (0.012798) Loss: 0.067178 (0.10267) +2025-08-25,22:10:34 | INFO | Train Epoch: 13 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.11641 (0.089974) Boundary_loss: 0.012837 (0.012798) Loss: 0.12924 (0.10277) +2025-08-25,22:11:39 | INFO | Train Epoch: 13 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.096952 (0.090002) Boundary_loss: 0.012818 (0.012798) Loss: 0.10977 (0.10280) +2025-08-25,22:12:44 | INFO | Train Epoch: 13 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.13278 (0.090171) Boundary_loss: 0.012849 (0.012798) Loss: 0.14563 (0.10297) +2025-08-25,22:13:49 | INFO | Train Epoch: 13 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.094097 (0.090186) Boundary_loss: 0.012712 (0.012798) Loss: 0.10681 (0.10298) +2025-08-25,22:14:54 | INFO | Train Epoch: 13 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.10061 (0.090227) Boundary_loss: 0.012846 (0.012798) Loss: 0.11346 (0.10303) +2025-08-25,22:15:59 | INFO | Train Epoch: 13 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.095580 (0.090248) Boundary_loss: 0.012905 (0.012799) Loss: 0.10849 (0.10305) +2025-08-25,22:17:04 | INFO | Train Epoch: 13 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.085243 (0.090229) Boundary_loss: 0.012823 (0.012799) Loss: 0.098066 (0.10303) +2025-08-25,22:18:09 | INFO | Train Epoch: 13 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.079462 (0.090187) Boundary_loss: 0.012822 (0.012799) Loss: 0.092284 (0.10299) +2025-08-25,22:19:14 | INFO | Train Epoch: 13 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.084893 (0.090167) Boundary_loss: 0.012677 (0.012798) Loss: 0.097570 (0.10297) +2025-08-25,22:20:19 | INFO | Train Epoch: 13 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.088903 (0.090162) Boundary_loss: 0.012838 (0.012799) Loss: 0.10174 (0.10296) +2025-08-25,22:21:24 | INFO | Train Epoch: 13 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.088904 (0.090157) Boundary_loss: 0.012712 (0.012798) Loss: 0.10162 (0.10296) +2025-08-25,22:22:29 | INFO | Train Epoch: 13 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.060878 (0.090045) Boundary_loss: 0.012793 (0.012798) Loss: 0.073671 (0.10284) +2025-08-25,22:23:34 | INFO | Train Epoch: 13 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.079470 (0.090005) Boundary_loss: 0.012780 (0.012798) Loss: 0.092250 (0.10280) +2025-08-25,22:24:39 | INFO | Train Epoch: 13 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.096606 (0.090030) Boundary_loss: 0.012769 (0.012798) Loss: 0.10938 (0.10283) +2025-08-25,22:25:44 | INFO | Train Epoch: 13 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.086741 (0.090018) Boundary_loss: 0.012864 (0.012798) Loss: 0.099606 (0.10282) +2025-08-25,22:26:49 | INFO | Train Epoch: 13 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.077361 (0.089970) Boundary_loss: 0.012772 (0.012798) Loss: 0.090132 (0.10277) +2025-08-25,22:27:54 | INFO | Train Epoch: 13 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.084681 (0.089950) Boundary_loss: 0.012741 (0.012798) Loss: 0.097422 (0.10275) +2025-08-25,22:28:59 | INFO | Train Epoch: 13 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 0.084209 (0.089929) Boundary_loss: 0.012901 (0.012798) Loss: 0.097110 (0.10273) +2025-08-25,22:30:04 | INFO | Train Epoch: 13 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.081139 (0.089896) Boundary_loss: 0.012777 (0.012798) Loss: 0.093915 (0.10269) +2025-08-25,22:31:09 | INFO | Train Epoch: 13 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.11077 (0.089973) Boundary_loss: 0.012753 (0.012798) Loss: 0.12352 (0.10277) +2025-08-25,22:32:14 | INFO | Train Epoch: 13 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.10381 (0.090024) Boundary_loss: 0.012751 (0.012798) Loss: 0.11656 (0.10282) +2025-08-25,22:33:19 | INFO | Train Epoch: 13 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.069054 (0.089947) Boundary_loss: 0.012840 (0.012798) Loss: 0.081894 (0.10275) +2025-08-25,22:34:24 | INFO | Train Epoch: 13 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.089547 (0.089946) Boundary_loss: 0.012804 (0.012798) Loss: 0.10235 (0.10274) +2025-08-25,22:35:29 | INFO | Train Epoch: 13 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.083021 (0.089921) Boundary_loss: 0.012805 (0.012798) Loss: 0.095826 (0.10272) +2025-08-25,22:36:34 | INFO | Train Epoch: 13 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.11564 (0.090014) Boundary_loss: 0.012766 (0.012798) Loss: 0.12840 (0.10281) +2025-08-25,22:37:39 | INFO | Train Epoch: 13 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.089209 (0.090011) Boundary_loss: 0.012700 (0.012798) Loss: 0.10191 (0.10281) +2025-08-25,22:38:44 | INFO | Train Epoch: 13 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.087658 (0.090003) Boundary_loss: 0.012729 (0.012797) Loss: 0.10039 (0.10280) +2025-08-25,22:39:49 | INFO | Train Epoch: 13 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.080449 (0.089968) Boundary_loss: 0.012803 (0.012797) Loss: 0.093252 (0.10277) +2025-08-25,22:40:54 | INFO | Train Epoch: 13 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.091304 (0.089973) Boundary_loss: 0.012849 (0.012798) Loss: 0.10415 (0.10277) +2025-08-25,22:41:59 | INFO | Train Epoch: 13 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.10468 (0.090026) Boundary_loss: 0.012742 (0.012797) Loss: 0.11743 (0.10282) +2025-08-25,22:43:04 | INFO | Train Epoch: 13 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.087074 (0.090015) Boundary_loss: 0.012827 (0.012798) Loss: 0.099901 (0.10281) +2025-08-25,22:44:09 | INFO | Train Epoch: 13 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.087783 (0.090007) Boundary_loss: 0.012785 (0.012797) Loss: 0.10057 (0.10280) +2025-08-25,22:45:13 | INFO | Train Epoch: 13 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.11412 (0.090092) Boundary_loss: 0.012793 (0.012797) Loss: 0.12691 (0.10289) +2025-08-25,22:46:18 | INFO | Train Epoch: 13 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.089643 (0.090091) Boundary_loss: 0.012801 (0.012797) Loss: 0.10244 (0.10289) +2025-08-25,22:47:23 | INFO | Train Epoch: 13 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.10492 (0.090143) Boundary_loss: 0.012805 (0.012798) Loss: 0.11772 (0.10294) +2025-08-25,22:48:29 | INFO | Train Epoch: 13 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.11803 (0.090240) Boundary_loss: 0.012824 (0.012798) Loss: 0.13085 (0.10304) +2025-08-25,22:49:34 | INFO | Train Epoch: 13 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.063737 (0.090148) Boundary_loss: 0.012829 (0.012798) Loss: 0.076566 (0.10295) +2025-08-25,22:50:39 | INFO | Train Epoch: 13 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.057341 (0.090034) Boundary_loss: 0.012827 (0.012798) Loss: 0.070167 (0.10283) +2025-08-25,22:51:44 | INFO | Train Epoch: 13 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.099712 (0.090068) Boundary_loss: 0.012871 (0.012798) Loss: 0.11258 (0.10287) +2025-08-25,22:52:49 | INFO | Train Epoch: 13 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.11851 (0.090166) Boundary_loss: 0.012831 (0.012798) Loss: 0.13134 (0.10296) +2025-08-25,22:53:54 | INFO | Train Epoch: 13 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.078740 (0.090126) Boundary_loss: 0.012797 (0.012798) Loss: 0.091537 (0.10292) +2025-08-25,22:54:59 | INFO | Train Epoch: 13 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.066597 (0.090046) Boundary_loss: 0.012843 (0.012798) Loss: 0.079440 (0.10284) +2025-08-25,22:56:04 | INFO | Train Epoch: 13 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.10364 (0.090092) Boundary_loss: 0.012750 (0.012798) Loss: 0.11639 (0.10289) +2025-08-25,22:57:09 | INFO | Train Epoch: 13 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.062312 (0.089998) Boundary_loss: 0.012766 (0.012798) Loss: 0.075079 (0.10280) +2025-08-25,22:58:14 | INFO | Train Epoch: 13 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.099599 (0.090030) Boundary_loss: 0.012776 (0.012798) Loss: 0.11237 (0.10283) +2025-08-25,22:59:19 | INFO | Train Epoch: 13 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.075076 (0.089980) Boundary_loss: 0.012910 (0.012798) Loss: 0.087987 (0.10278) +2025-08-25,23:00:24 | INFO | Train Epoch: 13 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.10250 (0.090022) Boundary_loss: 0.012763 (0.012798) Loss: 0.11527 (0.10282) +2025-08-25,23:01:29 | INFO | Train Epoch: 13 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.072535 (0.089963) Boundary_loss: 0.012845 (0.012798) Loss: 0.085380 (0.10276) +2025-08-25,23:02:34 | INFO | Train Epoch: 13 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.079898 (0.089930) Boundary_loss: 0.012750 (0.012798) Loss: 0.092648 (0.10273) +2025-08-25,23:03:39 | INFO | Train Epoch: 13 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.090815 (0.089933) Boundary_loss: 0.012758 (0.012798) Loss: 0.10357 (0.10273) +2025-08-25,23:04:44 | INFO | Train Epoch: 13 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.11140 (0.090004) Boundary_loss: 0.012764 (0.012798) Loss: 0.12416 (0.10280) +2025-08-25,23:05:49 | INFO | Train Epoch: 13 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.065776 (0.089924) Boundary_loss: 0.012776 (0.012798) Loss: 0.078552 (0.10272) +2025-08-25,23:06:54 | INFO | Train Epoch: 13 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.057801 (0.089818) Boundary_loss: 0.012743 (0.012798) Loss: 0.070544 (0.10262) +2025-08-25,23:07:59 | INFO | Train Epoch: 13 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.089011 (0.089815) Boundary_loss: 0.012776 (0.012798) Loss: 0.10179 (0.10261) +2025-08-25,23:09:04 | INFO | Train Epoch: 13 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.071100 (0.089754) Boundary_loss: 0.012751 (0.012798) Loss: 0.083851 (0.10255) +2025-08-25,23:10:09 | INFO | Train Epoch: 13 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.084061 (0.089735) Boundary_loss: 0.012746 (0.012797) Loss: 0.096807 (0.10253) +2025-08-25,23:11:14 | INFO | Train Epoch: 13 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.054146 (0.089619) Boundary_loss: 0.012850 (0.012798) Loss: 0.066996 (0.10242) +2025-08-25,23:12:19 | INFO | Train Epoch: 13 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.088830 (0.089617) Boundary_loss: 0.012846 (0.012798) Loss: 0.10168 (0.10241) +2025-08-25,23:13:24 | INFO | Train Epoch: 13 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.070971 (0.089556) Boundary_loss: 0.012742 (0.012798) Loss: 0.083713 (0.10235) +2025-08-25,23:14:29 | INFO | Train Epoch: 13 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.079630 (0.089524) Boundary_loss: 0.012795 (0.012797) Loss: 0.092424 (0.10232) +2025-08-25,23:15:34 | INFO | Train Epoch: 13 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.091949 (0.089532) Boundary_loss: 0.012671 (0.012797) Loss: 0.10462 (0.10233) +2025-08-25,23:16:39 | INFO | Train Epoch: 13 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.086264 (0.089521) Boundary_loss: 0.012840 (0.012797) Loss: 0.099104 (0.10232) +2025-08-25,23:17:44 | INFO | Train Epoch: 13 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.11212 (0.089594) Boundary_loss: 0.012744 (0.012797) Loss: 0.12486 (0.10239) +2025-08-25,23:18:49 | INFO | Train Epoch: 13 [16026112/26365952 (61%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 0.088221 (0.089589) Boundary_loss: 0.012750 (0.012797) Loss: 0.10097 (0.10239) +2025-08-25,23:19:54 | INFO | Train Epoch: 13 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.097172 (0.089613) Boundary_loss: 0.012855 (0.012797) Loss: 0.11003 (0.10241) +2025-08-25,23:20:59 | INFO | Train Epoch: 13 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.093218 (0.089625) Boundary_loss: 0.012885 (0.012797) Loss: 0.10610 (0.10242) +2025-08-25,23:22:04 | INFO | Train Epoch: 13 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.086437 (0.089615) Boundary_loss: 0.012694 (0.012797) Loss: 0.099131 (0.10241) +2025-08-25,23:23:09 | INFO | Train Epoch: 13 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.082668 (0.089593) Boundary_loss: 0.012723 (0.012797) Loss: 0.095391 (0.10239) +2025-08-25,23:24:14 | INFO | Train Epoch: 13 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.091991 (0.089600) Boundary_loss: 0.012743 (0.012797) Loss: 0.10473 (0.10240) +2025-08-25,23:25:19 | INFO | Train Epoch: 13 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.091811 (0.089607) Boundary_loss: 0.012855 (0.012797) Loss: 0.10467 (0.10240) +2025-08-25,23:26:24 | INFO | Train Epoch: 13 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.074750 (0.089561) Boundary_loss: 0.012791 (0.012797) Loss: 0.087541 (0.10236) +2025-08-25,23:27:29 | INFO | Train Epoch: 13 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.078750 (0.089527) Boundary_loss: 0.012811 (0.012797) Loss: 0.091560 (0.10232) +2025-08-25,23:28:34 | INFO | Train Epoch: 13 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.068529 (0.089462) Boundary_loss: 0.012866 (0.012797) Loss: 0.081395 (0.10226) +2025-08-25,23:29:38 | INFO | Train Epoch: 13 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.093117 (0.089474) Boundary_loss: 0.012854 (0.012797) Loss: 0.10597 (0.10227) +2025-08-25,23:30:43 | INFO | Train Epoch: 13 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.073869 (0.089426) Boundary_loss: 0.012662 (0.012797) Loss: 0.086532 (0.10222) +2025-08-25,23:31:48 | INFO | Train Epoch: 13 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.10816 (0.089483) Boundary_loss: 0.012904 (0.012797) Loss: 0.12106 (0.10228) +2025-08-25,23:32:53 | INFO | Train Epoch: 13 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.087108 (0.089476) Boundary_loss: 0.012839 (0.012797) Loss: 0.099947 (0.10227) +2025-08-25,23:33:58 | INFO | Train Epoch: 13 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.061601 (0.089391) Boundary_loss: 0.012787 (0.012797) Loss: 0.074388 (0.10219) +2025-08-25,23:35:03 | INFO | Train Epoch: 13 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.086665 (0.089383) Boundary_loss: 0.012789 (0.012797) Loss: 0.099453 (0.10218) +2025-08-25,23:36:08 | INFO | Train Epoch: 13 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.10633 (0.089434) Boundary_loss: 0.012925 (0.012798) Loss: 0.11925 (0.10223) +2025-08-25,23:37:13 | INFO | Train Epoch: 13 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.079357 (0.089404) Boundary_loss: 0.012905 (0.012798) Loss: 0.092262 (0.10220) +2025-08-25,23:38:18 | INFO | Train Epoch: 13 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.10363 (0.089446) Boundary_loss: 0.012821 (0.012798) Loss: 0.11645 (0.10224) +2025-08-25,23:39:23 | INFO | Train Epoch: 13 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.11092 (0.089511) Boundary_loss: 0.012841 (0.012798) Loss: 0.12377 (0.10231) +2025-08-25,23:40:28 | INFO | Train Epoch: 13 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.093636 (0.089523) Boundary_loss: 0.012768 (0.012798) Loss: 0.10640 (0.10232) +2025-08-25,23:41:33 | INFO | Train Epoch: 13 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.093875 (0.089536) Boundary_loss: 0.012756 (0.012798) Loss: 0.10663 (0.10233) +2025-08-25,23:42:38 | INFO | Train Epoch: 13 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.11004 (0.089597) Boundary_loss: 0.012751 (0.012798) Loss: 0.12279 (0.10240) +2025-08-25,23:43:43 | INFO | Train Epoch: 13 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.061672 (0.089514) Boundary_loss: 0.012795 (0.012798) Loss: 0.074468 (0.10231) +2025-08-25,23:44:48 | INFO | Train Epoch: 13 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.061647 (0.089432) Boundary_loss: 0.012865 (0.012798) Loss: 0.074513 (0.10223) +2025-08-25,23:45:53 | INFO | Train Epoch: 13 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.090248 (0.089434) Boundary_loss: 0.012718 (0.012798) Loss: 0.10297 (0.10223) +2025-08-25,23:46:58 | INFO | Train Epoch: 13 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.095497 (0.089452) Boundary_loss: 0.012733 (0.012798) Loss: 0.10823 (0.10225) +2025-08-25,23:48:03 | INFO | Train Epoch: 13 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.090681 (0.089456) Boundary_loss: 0.012807 (0.012798) Loss: 0.10349 (0.10225) +2025-08-25,23:49:08 | INFO | Train Epoch: 13 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.097647 (0.089480) Boundary_loss: 0.012803 (0.012798) Loss: 0.11045 (0.10228) +2025-08-25,23:50:13 | INFO | Train Epoch: 13 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.059789 (0.089393) Boundary_loss: 0.012823 (0.012798) Loss: 0.072612 (0.10219) +2025-08-25,23:51:18 | INFO | Train Epoch: 13 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.065671 (0.089324) Boundary_loss: 0.012798 (0.012798) Loss: 0.078469 (0.10212) +2025-08-25,23:52:23 | INFO | Train Epoch: 13 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.067265 (0.089260) Boundary_loss: 0.012767 (0.012798) Loss: 0.080032 (0.10206) +2025-08-25,23:53:28 | INFO | Train Epoch: 13 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.11079 (0.089322) Boundary_loss: 0.012821 (0.012798) Loss: 0.12361 (0.10212) +2025-08-25,23:54:33 | INFO | Train Epoch: 13 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.074834 (0.089281) Boundary_loss: 0.012806 (0.012798) Loss: 0.087640 (0.10208) +2025-08-25,23:55:38 | INFO | Train Epoch: 13 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.10802 (0.089335) Boundary_loss: 0.012793 (0.012798) Loss: 0.12082 (0.10213) +2025-08-25,23:56:43 | INFO | Train Epoch: 13 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.097080 (0.089357) Boundary_loss: 0.012776 (0.012798) Loss: 0.10986 (0.10215) +2025-08-25,23:57:48 | INFO | Train Epoch: 13 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.11063 (0.089418) Boundary_loss: 0.012853 (0.012798) Loss: 0.12349 (0.10222) +2025-08-25,23:58:53 | INFO | Train Epoch: 13 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.098585 (0.089444) Boundary_loss: 0.012858 (0.012798) Loss: 0.11144 (0.10224) +2025-08-25,23:59:58 | INFO | Train Epoch: 13 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.11490 (0.089516) Boundary_loss: 0.012744 (0.012798) Loss: 0.12765 (0.10231) +2025-08-26,00:01:03 | INFO | Train Epoch: 13 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.082042 (0.089495) Boundary_loss: 0.012866 (0.012798) Loss: 0.094907 (0.10229) +2025-08-26,00:02:08 | INFO | Train Epoch: 13 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.12054 (0.089583) Boundary_loss: 0.012809 (0.012798) Loss: 0.13335 (0.10238) +2025-08-26,00:03:13 | INFO | Train Epoch: 13 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.10338 (0.089621) Boundary_loss: 0.012762 (0.012798) Loss: 0.11614 (0.10242) +2025-08-26,00:04:18 | INFO | Train Epoch: 13 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.087453 (0.089615) Boundary_loss: 0.012793 (0.012798) Loss: 0.10025 (0.10241) +2025-08-26,00:05:23 | INFO | Train Epoch: 13 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.059783 (0.089532) Boundary_loss: 0.012889 (0.012798) Loss: 0.072673 (0.10233) +2025-08-26,00:06:28 | INFO | Train Epoch: 13 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.067599 (0.089471) Boundary_loss: 0.012731 (0.012798) Loss: 0.080330 (0.10227) +2025-08-26,00:07:33 | INFO | Train Epoch: 13 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.068148 (0.089411) Boundary_loss: 0.012776 (0.012798) Loss: 0.080924 (0.10221) +2025-08-26,00:08:38 | INFO | Train Epoch: 13 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.084060 (0.089396) Boundary_loss: 0.012851 (0.012798) Loss: 0.096911 (0.10219) +2025-08-26,00:09:43 | INFO | Train Epoch: 13 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.10255 (0.089433) Boundary_loss: 0.012762 (0.012798) Loss: 0.11532 (0.10223) +2025-08-26,00:10:48 | INFO | Train Epoch: 13 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.083058 (0.089415) Boundary_loss: 0.012801 (0.012798) Loss: 0.095858 (0.10221) +2025-08-26,00:11:53 | INFO | Train Epoch: 13 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.11318 (0.089481) Boundary_loss: 0.012820 (0.012798) Loss: 0.12600 (0.10228) +2025-08-26,00:12:58 | INFO | Train Epoch: 13 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.060685 (0.089401) Boundary_loss: 0.012862 (0.012798) Loss: 0.073547 (0.10220) +2025-08-26,00:14:03 | INFO | Train Epoch: 13 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.11232 (0.089464) Boundary_loss: 0.012881 (0.012798) Loss: 0.12520 (0.10226) +2025-08-26,00:15:09 | INFO | Train Epoch: 13 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.081035 (0.089441) Boundary_loss: 0.012699 (0.012798) Loss: 0.093734 (0.10224) +2025-08-26,00:16:14 | INFO | Train Epoch: 13 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.088966 (0.089440) Boundary_loss: 0.012679 (0.012798) Loss: 0.10165 (0.10224) +2025-08-26,00:17:19 | INFO | Train Epoch: 13 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.10239 (0.089475) Boundary_loss: 0.012754 (0.012798) Loss: 0.11515 (0.10227) +2025-08-26,00:18:24 | INFO | Train Epoch: 13 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.10259 (0.089511) Boundary_loss: 0.012762 (0.012798) Loss: 0.11535 (0.10231) +2025-08-26,00:19:29 | INFO | Train Epoch: 13 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.084213 (0.089496) Boundary_loss: 0.012752 (0.012797) Loss: 0.096965 (0.10229) +2025-08-26,00:20:34 | INFO | Train Epoch: 13 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.061344 (0.089420) Boundary_loss: 0.012711 (0.012797) Loss: 0.074054 (0.10222) +2025-08-26,00:21:38 | INFO | Train Epoch: 13 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.11154 (0.089480) Boundary_loss: 0.012816 (0.012797) Loss: 0.12435 (0.10228) +2025-08-26,00:22:43 | INFO | Train Epoch: 13 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.091087 (0.089484) Boundary_loss: 0.012741 (0.012797) Loss: 0.10383 (0.10228) +2025-08-26,00:23:48 | INFO | Train Epoch: 13 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.094312 (0.089497) Boundary_loss: 0.012715 (0.012797) Loss: 0.10703 (0.10229) +2025-08-26,00:24:53 | INFO | Train Epoch: 13 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.099842 (0.089525) Boundary_loss: 0.012749 (0.012797) Loss: 0.11259 (0.10232) +2025-08-26,00:25:58 | INFO | Train Epoch: 13 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.085719 (0.089515) Boundary_loss: 0.012806 (0.012797) Loss: 0.098525 (0.10231) +2025-08-26,00:27:03 | INFO | Train Epoch: 13 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.094139 (0.089527) Boundary_loss: 0.012851 (0.012797) Loss: 0.10699 (0.10232) +2025-08-26,00:28:08 | INFO | Train Epoch: 13 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.086025 (0.089518) Boundary_loss: 0.012760 (0.012797) Loss: 0.098785 (0.10231) +2025-08-26,00:29:13 | INFO | Train Epoch: 13 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.075582 (0.089481) Boundary_loss: 0.012736 (0.012797) Loss: 0.088318 (0.10228) +2025-08-26,00:30:18 | INFO | Train Epoch: 13 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.079838 (0.089455) Boundary_loss: 0.012771 (0.012797) Loss: 0.092609 (0.10225) +2025-08-26,00:31:23 | INFO | Train Epoch: 13 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.10507 (0.089496) Boundary_loss: 0.012687 (0.012796) Loss: 0.11775 (0.10229) +2025-08-26,00:32:28 | INFO | Train Epoch: 13 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.090181 (0.089498) Boundary_loss: 0.012764 (0.012796) Loss: 0.10294 (0.10229) +2025-08-26,00:33:33 | INFO | Train Epoch: 13 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.085560 (0.089488) Boundary_loss: 0.012782 (0.012796) Loss: 0.098343 (0.10228) +2025-08-26,00:34:38 | INFO | Train Epoch: 13 [19610112/26365952 (74%)] Avg Boundaries (per batch): 18.975 Boundary Ratio: 0.097 Contrastive_loss: 0.092143 (0.089495) Boundary_loss: 0.012796 (0.012796) Loss: 0.10494 (0.10229) +2025-08-26,00:35:43 | INFO | Train Epoch: 13 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.052336 (0.089398) Boundary_loss: 0.012814 (0.012796) Loss: 0.065150 (0.10219) +2025-08-26,00:36:48 | INFO | Train Epoch: 13 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.097434 (0.089419) Boundary_loss: 0.012806 (0.012796) Loss: 0.11024 (0.10222) +2025-08-26,00:37:53 | INFO | Train Epoch: 13 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.11847 (0.089494) Boundary_loss: 0.012746 (0.012796) Loss: 0.13122 (0.10229) +2025-08-26,00:38:58 | INFO | Train Epoch: 13 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.068904 (0.089441) Boundary_loss: 0.012747 (0.012796) Loss: 0.081650 (0.10224) +2025-08-26,00:40:03 | INFO | Train Epoch: 13 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.073321 (0.089400) Boundary_loss: 0.012864 (0.012796) Loss: 0.086186 (0.10220) +2025-08-26,00:41:08 | INFO | Train Epoch: 13 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.095584 (0.089416) Boundary_loss: 0.012745 (0.012796) Loss: 0.10833 (0.10221) +2025-08-26,00:42:13 | INFO | Train Epoch: 13 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.060811 (0.089342) Boundary_loss: 0.012809 (0.012796) Loss: 0.073620 (0.10214) +2025-08-26,00:43:18 | INFO | Train Epoch: 13 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.094572 (0.089356) Boundary_loss: 0.012734 (0.012796) Loss: 0.10731 (0.10215) +2025-08-26,00:44:23 | INFO | Train Epoch: 13 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.095377 (0.089371) Boundary_loss: 0.012827 (0.012796) Loss: 0.10820 (0.10217) +2025-08-26,00:45:28 | INFO | Train Epoch: 13 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.092011 (0.089378) Boundary_loss: 0.012921 (0.012796) Loss: 0.10493 (0.10217) +2025-08-26,00:46:33 | INFO | Train Epoch: 13 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.058037 (0.089298) Boundary_loss: 0.012858 (0.012796) Loss: 0.070895 (0.10209) +2025-08-26,00:47:37 | INFO | Train Epoch: 13 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.12689 (0.089393) Boundary_loss: 0.012856 (0.012797) Loss: 0.13975 (0.10219) +2025-08-26,00:48:42 | INFO | Train Epoch: 13 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.056971 (0.089312) Boundary_loss: 0.012738 (0.012796) Loss: 0.069709 (0.10211) +2025-08-26,00:49:47 | INFO | Train Epoch: 13 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.088108 (0.089309) Boundary_loss: 0.012771 (0.012796) Loss: 0.10088 (0.10211) +2025-08-26,00:50:52 | INFO | Train Epoch: 13 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.11444 (0.089372) Boundary_loss: 0.012815 (0.012796) Loss: 0.12725 (0.10217) +2025-08-26,00:51:57 | INFO | Train Epoch: 13 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.063524 (0.089307) Boundary_loss: 0.012814 (0.012797) Loss: 0.076338 (0.10210) +2025-08-26,00:53:02 | INFO | Train Epoch: 13 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.11043 (0.089360) Boundary_loss: 0.012717 (0.012796) Loss: 0.12314 (0.10216) +2025-08-26,00:54:07 | INFO | Train Epoch: 13 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.088431 (0.089357) Boundary_loss: 0.012795 (0.012796) Loss: 0.10123 (0.10215) +2025-08-26,00:55:12 | INFO | Train Epoch: 13 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.095964 (0.089374) Boundary_loss: 0.012745 (0.012796) Loss: 0.10871 (0.10217) +2025-08-26,00:56:17 | INFO | Train Epoch: 13 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.077942 (0.089345) Boundary_loss: 0.012767 (0.012796) Loss: 0.090709 (0.10214) +2025-08-26,00:57:22 | INFO | Train Epoch: 13 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.058017 (0.089268) Boundary_loss: 0.012803 (0.012796) Loss: 0.070819 (0.10206) +2025-08-26,00:58:26 | INFO | Train Epoch: 13 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.087345 (0.089263) Boundary_loss: 0.012796 (0.012796) Loss: 0.10014 (0.10206) +2025-08-26,00:59:31 | INFO | Train Epoch: 13 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.066194 (0.089207) Boundary_loss: 0.012714 (0.012796) Loss: 0.078908 (0.10200) +2025-08-26,01:00:36 | INFO | Train Epoch: 13 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.085751 (0.089198) Boundary_loss: 0.012802 (0.012796) Loss: 0.098553 (0.10199) +2025-08-26,01:01:41 | INFO | Train Epoch: 13 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.099229 (0.089223) Boundary_loss: 0.012873 (0.012796) Loss: 0.11210 (0.10202) +2025-08-26,01:02:46 | INFO | Train Epoch: 13 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.096629 (0.089241) Boundary_loss: 0.012832 (0.012796) Loss: 0.10946 (0.10204) +2025-08-26,01:03:51 | INFO | Train Epoch: 13 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.10605 (0.089282) Boundary_loss: 0.012765 (0.012796) Loss: 0.11882 (0.10208) +2025-08-26,01:04:56 | INFO | Train Epoch: 13 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.12079 (0.089358) Boundary_loss: 0.012774 (0.012796) Loss: 0.13357 (0.10215) +2025-08-26,01:06:01 | INFO | Train Epoch: 13 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.098892 (0.089381) Boundary_loss: 0.012697 (0.012796) Loss: 0.11159 (0.10218) +2025-08-26,01:07:05 | INFO | Train Epoch: 13 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.086190 (0.089374) Boundary_loss: 0.012832 (0.012796) Loss: 0.099021 (0.10217) +2025-08-26,01:08:10 | INFO | Train Epoch: 13 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.063681 (0.089312) Boundary_loss: 0.012794 (0.012796) Loss: 0.076475 (0.10211) +2025-08-26,01:09:15 | INFO | Train Epoch: 13 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.094303 (0.089324) Boundary_loss: 0.012837 (0.012796) Loss: 0.10714 (0.10212) +2025-08-26,01:10:20 | INFO | Train Epoch: 13 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.082268 (0.089307) Boundary_loss: 0.012903 (0.012796) Loss: 0.095172 (0.10210) +2025-08-26,01:11:25 | INFO | Train Epoch: 13 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.084684 (0.089296) Boundary_loss: 0.012803 (0.012796) Loss: 0.097487 (0.10209) +2025-08-26,01:12:30 | INFO | Train Epoch: 13 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.072153 (0.089255) Boundary_loss: 0.012766 (0.012796) Loss: 0.084919 (0.10205) +2025-08-26,01:13:35 | INFO | Train Epoch: 13 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.10649 (0.089296) Boundary_loss: 0.012787 (0.012796) Loss: 0.11928 (0.10209) +2025-08-26,01:14:40 | INFO | Train Epoch: 13 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.098081 (0.089317) Boundary_loss: 0.012719 (0.012796) Loss: 0.11080 (0.10211) +2025-08-26,01:15:45 | INFO | Train Epoch: 13 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.087761 (0.089313) Boundary_loss: 0.012747 (0.012796) Loss: 0.10051 (0.10211) +2025-08-26,01:16:50 | INFO | Train Epoch: 13 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.068931 (0.089265) Boundary_loss: 0.012802 (0.012796) Loss: 0.081733 (0.10206) +2025-08-26,01:17:55 | INFO | Train Epoch: 13 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.11721 (0.089331) Boundary_loss: 0.012890 (0.012796) Loss: 0.13010 (0.10213) +2025-08-26,01:18:59 | INFO | Train Epoch: 13 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.090746 (0.089334) Boundary_loss: 0.012815 (0.012796) Loss: 0.10356 (0.10213) +2025-08-26,01:20:04 | INFO | Train Epoch: 13 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.095823 (0.089349) Boundary_loss: 0.012730 (0.012796) Loss: 0.10855 (0.10215) +2025-08-26,01:21:09 | INFO | Train Epoch: 13 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.065498 (0.089293) Boundary_loss: 0.012791 (0.012796) Loss: 0.078289 (0.10209) +2025-08-26,01:22:14 | INFO | Train Epoch: 13 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.081401 (0.089275) Boundary_loss: 0.012740 (0.012796) Loss: 0.094141 (0.10207) +2025-08-26,01:23:19 | INFO | Train Epoch: 13 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.11979 (0.089346) Boundary_loss: 0.012834 (0.012796) Loss: 0.13263 (0.10214) +2025-08-26,01:24:24 | INFO | Train Epoch: 13 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.077856 (0.089319) Boundary_loss: 0.012767 (0.012796) Loss: 0.090624 (0.10212) +2025-08-26,01:25:29 | INFO | Train Epoch: 13 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.094776 (0.089332) Boundary_loss: 0.012807 (0.012796) Loss: 0.10758 (0.10213) +2025-08-26,01:26:34 | INFO | Train Epoch: 13 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.10395 (0.089366) Boundary_loss: 0.012849 (0.012796) Loss: 0.11679 (0.10216) +2025-08-26,01:27:39 | INFO | Train Epoch: 13 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.088726 (0.089364) Boundary_loss: 0.012870 (0.012796) Loss: 0.10160 (0.10216) +2025-08-26,01:28:44 | INFO | Train Epoch: 13 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.10271 (0.089395) Boundary_loss: 0.012697 (0.012796) Loss: 0.11540 (0.10219) +2025-08-26,01:29:49 | INFO | Train Epoch: 13 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.13259 (0.089494) Boundary_loss: 0.012795 (0.012796) Loss: 0.14539 (0.10229) +2025-08-26,01:30:54 | INFO | Train Epoch: 13 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.095358 (0.089508) Boundary_loss: 0.012844 (0.012796) Loss: 0.10820 (0.10230) +2025-08-26,01:31:58 | INFO | Train Epoch: 13 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.079453 (0.089485) Boundary_loss: 0.012797 (0.012796) Loss: 0.092249 (0.10228) +2025-08-26,01:33:03 | INFO | Train Epoch: 13 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.084649 (0.089474) Boundary_loss: 0.012754 (0.012796) Loss: 0.097403 (0.10227) +2025-08-26,01:34:08 | INFO | Train Epoch: 13 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.062939 (0.089413) Boundary_loss: 0.012736 (0.012796) Loss: 0.075675 (0.10221) +2025-08-26,01:35:13 | INFO | Train Epoch: 13 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.086650 (0.089407) Boundary_loss: 0.012868 (0.012796) Loss: 0.099518 (0.10220) +2025-08-26,01:36:18 | INFO | Train Epoch: 13 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.11197 (0.089458) Boundary_loss: 0.012840 (0.012796) Loss: 0.12481 (0.10225) +2025-08-26,01:37:23 | INFO | Train Epoch: 13 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.074802 (0.089425) Boundary_loss: 0.012709 (0.012796) Loss: 0.087511 (0.10222) +2025-08-26,01:38:28 | INFO | Train Epoch: 13 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.075355 (0.089393) Boundary_loss: 0.012822 (0.012796) Loss: 0.088177 (0.10219) +2025-08-26,01:39:33 | INFO | Train Epoch: 13 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.097991 (0.089413) Boundary_loss: 0.012767 (0.012796) Loss: 0.11076 (0.10221) +2025-08-26,01:40:38 | INFO | Train Epoch: 13 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.066580 (0.089361) Boundary_loss: 0.012832 (0.012796) Loss: 0.079412 (0.10216) +2025-08-26,01:41:43 | INFO | Train Epoch: 13 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.074872 (0.089329) Boundary_loss: 0.012770 (0.012796) Loss: 0.087642 (0.10212) +2025-08-26,01:42:48 | INFO | Train Epoch: 13 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.10144 (0.089356) Boundary_loss: 0.012754 (0.012796) Loss: 0.11419 (0.10215) +2025-08-26,01:43:53 | INFO | Train Epoch: 13 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.080230 (0.089336) Boundary_loss: 0.012753 (0.012796) Loss: 0.092983 (0.10213) +2025-08-26,01:44:58 | INFO | Train Epoch: 13 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.083877 (0.089323) Boundary_loss: 0.012849 (0.012796) Loss: 0.096726 (0.10212) +2025-08-26,01:46:03 | INFO | Train Epoch: 13 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.11701 (0.089385) Boundary_loss: 0.012792 (0.012796) Loss: 0.12980 (0.10218) +2025-08-26,01:47:08 | INFO | Train Epoch: 13 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.077865 (0.089359) Boundary_loss: 0.012823 (0.012796) Loss: 0.090688 (0.10216) +2025-08-26,01:48:13 | INFO | Train Epoch: 13 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.10691 (0.089398) Boundary_loss: 0.012835 (0.012796) Loss: 0.11975 (0.10219) +2025-08-26,01:49:18 | INFO | Train Epoch: 13 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.088196 (0.089396) Boundary_loss: 0.012801 (0.012796) Loss: 0.10100 (0.10219) +2025-08-26,01:50:23 | INFO | Train Epoch: 13 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.084490 (0.089385) Boundary_loss: 0.012791 (0.012796) Loss: 0.097281 (0.10218) +2025-08-26,01:51:28 | INFO | Train Epoch: 13 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.085618 (0.089377) Boundary_loss: 0.012878 (0.012796) Loss: 0.098497 (0.10217) +2025-08-26,01:52:33 | INFO | Train Epoch: 13 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.066908 (0.089327) Boundary_loss: 0.012816 (0.012796) Loss: 0.079724 (0.10212) +2025-08-26,01:53:38 | INFO | Train Epoch: 13 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.091739 (0.089333) Boundary_loss: 0.012871 (0.012796) Loss: 0.10461 (0.10213) +2025-08-26,01:54:43 | INFO | Train Epoch: 13 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.11719 (0.089393) Boundary_loss: 0.012706 (0.012796) Loss: 0.12990 (0.10219) +2025-08-26,01:55:48 | INFO | Train Epoch: 13 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.10747 (0.089433) Boundary_loss: 0.012792 (0.012796) Loss: 0.12027 (0.10223) +2025-08-26,01:56:53 | INFO | Train Epoch: 13 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.087541 (0.089429) Boundary_loss: 0.012820 (0.012796) Loss: 0.10036 (0.10222) +2025-08-26,01:57:58 | INFO | Train Epoch: 13 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.092661 (0.089436) Boundary_loss: 0.012810 (0.012796) Loss: 0.10547 (0.10223) +2025-08-26,01:59:03 | INFO | Train Epoch: 13 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.099835 (0.089458) Boundary_loss: 0.012763 (0.012796) Loss: 0.11260 (0.10225) +2025-08-26,02:00:08 | INFO | Train Epoch: 13 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.074657 (0.089426) Boundary_loss: 0.012857 (0.012796) Loss: 0.087514 (0.10222) +2025-08-26,02:01:13 | INFO | Train Epoch: 13 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.086591 (0.089420) Boundary_loss: 0.012771 (0.012796) Loss: 0.099362 (0.10222) +2025-08-26,02:02:18 | INFO | Train Epoch: 13 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.11598 (0.089477) Boundary_loss: 0.012855 (0.012796) Loss: 0.12883 (0.10227) +2025-08-26,02:03:23 | INFO | Train Epoch: 13 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.076375 (0.089449) Boundary_loss: 0.012808 (0.012796) Loss: 0.089183 (0.10225) +2025-08-26,02:04:28 | INFO | Train Epoch: 13 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.086805 (0.089443) Boundary_loss: 0.012761 (0.012796) Loss: 0.099566 (0.10224) +2025-08-26,02:05:33 | INFO | Train Epoch: 13 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.065857 (0.089393) Boundary_loss: 0.012777 (0.012796) Loss: 0.078634 (0.10219) +2025-08-26,02:06:38 | INFO | Train Epoch: 13 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.081549 (0.089376) Boundary_loss: 0.012835 (0.012796) Loss: 0.094384 (0.10217) +2025-08-26,02:07:43 | INFO | Train Epoch: 13 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.11121 (0.089423) Boundary_loss: 0.012746 (0.012796) Loss: 0.12396 (0.10222) +2025-08-26,02:08:48 | INFO | Train Epoch: 13 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.078254 (0.089399) Boundary_loss: 0.012740 (0.012796) Loss: 0.090994 (0.10220) +2025-08-26,02:09:53 | INFO | Train Epoch: 13 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.12448 (0.089473) Boundary_loss: 0.012767 (0.012796) Loss: 0.13725 (0.10227) +2025-08-26,02:10:58 | INFO | Train Epoch: 13 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.13469 (0.089569) Boundary_loss: 0.012842 (0.012796) Loss: 0.14753 (0.10237) +2025-08-26,02:12:03 | INFO | Train Epoch: 13 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.046412 (0.089478) Boundary_loss: 0.012812 (0.012796) Loss: 0.059224 (0.10227) +2025-08-26,02:13:08 | INFO | Train Epoch: 13 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.080179 (0.089458) Boundary_loss: 0.012775 (0.012796) Loss: 0.092954 (0.10225) +2025-08-26,02:14:13 | INFO | Train Epoch: 13 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.10259 (0.089486) Boundary_loss: 0.012857 (0.012796) Loss: 0.11545 (0.10228) +2025-08-26,02:15:18 | INFO | Train Epoch: 13 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.074669 (0.089455) Boundary_loss: 0.012763 (0.012796) Loss: 0.087433 (0.10225) +2025-08-26,02:16:23 | INFO | Train Epoch: 13 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.096827 (0.089470) Boundary_loss: 0.012875 (0.012796) Loss: 0.10970 (0.10227) +2025-08-26,02:17:28 | INFO | Train Epoch: 13 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.074927 (0.089440) Boundary_loss: 0.012739 (0.012796) Loss: 0.087666 (0.10224) +2025-08-26,02:18:33 | INFO | Train Epoch: 13 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.086077 (0.089433) Boundary_loss: 0.012745 (0.012796) Loss: 0.098822 (0.10223) +2025-08-26,02:19:38 | INFO | Train Epoch: 13 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.11879 (0.089494) Boundary_loss: 0.012752 (0.012796) Loss: 0.13154 (0.10229) +2025-08-26,02:20:43 | INFO | Train Epoch: 13 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.062049 (0.089437) Boundary_loss: 0.012878 (0.012796) Loss: 0.074927 (0.10223) +2025-08-26,02:21:48 | INFO | Train Epoch: 13 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.11103 (0.089482) Boundary_loss: 0.012805 (0.012796) Loss: 0.12383 (0.10228) +2025-08-26,02:22:53 | INFO | Train Epoch: 13 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.093237 (0.089490) Boundary_loss: 0.012822 (0.012796) Loss: 0.10606 (0.10229) +2025-08-26,02:23:58 | INFO | Train Epoch: 13 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.083098 (0.089476) Boundary_loss: 0.012795 (0.012796) Loss: 0.095892 (0.10227) +2025-08-26,02:25:03 | INFO | Train Epoch: 13 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.11800 (0.089535) Boundary_loss: 0.012812 (0.012796) Loss: 0.13082 (0.10233) +2025-08-26,02:26:08 | INFO | Train Epoch: 13 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.076143 (0.089508) Boundary_loss: 0.012890 (0.012797) Loss: 0.089032 (0.10230) +2025-08-26,02:27:13 | INFO | Train Epoch: 13 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.089096 (0.089507) Boundary_loss: 0.012771 (0.012797) Loss: 0.10187 (0.10230) +2025-08-26,02:28:18 | INFO | Train Epoch: 13 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.056219 (0.089439) Boundary_loss: 0.012795 (0.012797) Loss: 0.069013 (0.10224) +2025-08-26,02:29:23 | INFO | Train Epoch: 13 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.077068 (0.089413) Boundary_loss: 0.012756 (0.012796) Loss: 0.089824 (0.10221) +2025-08-26,02:30:28 | INFO | Train Epoch: 13 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.11357 (0.089463) Boundary_loss: 0.012762 (0.012796) Loss: 0.12633 (0.10226) +2025-08-26,02:31:33 | INFO | Train Epoch: 13 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.079668 (0.089443) Boundary_loss: 0.012792 (0.012796) Loss: 0.092460 (0.10224) +2025-08-26,02:32:38 | INFO | Train Epoch: 13 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.080530 (0.089425) Boundary_loss: 0.012834 (0.012796) Loss: 0.093365 (0.10222) +2025-08-26,02:33:43 | INFO | Train Epoch: 13 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.12073 (0.089488) Boundary_loss: 0.012809 (0.012796) Loss: 0.13354 (0.10228) +2025-08-26,02:34:48 | INFO | Train Epoch: 13 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.078364 (0.089466) Boundary_loss: 0.012786 (0.012796) Loss: 0.091150 (0.10226) +2025-08-26,02:35:53 | INFO | Train Epoch: 13 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.11106 (0.089509) Boundary_loss: 0.012777 (0.012796) Loss: 0.12384 (0.10231) +2025-08-26,02:36:58 | INFO | Train Epoch: 13 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.057713 (0.089445) Boundary_loss: 0.012709 (0.012796) Loss: 0.070422 (0.10224) +2025-08-26,02:38:03 | INFO | Train Epoch: 13 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.10574 (0.089478) Boundary_loss: 0.012761 (0.012796) Loss: 0.11850 (0.10227) +2025-08-26,02:39:08 | INFO | Train Epoch: 13 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.084739 (0.089468) Boundary_loss: 0.012847 (0.012796) Loss: 0.097586 (0.10226) +2025-08-26,02:40:13 | INFO | Train Epoch: 13 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.085108 (0.089460) Boundary_loss: 0.012768 (0.012796) Loss: 0.097876 (0.10226) +2025-08-26,02:41:18 | INFO | Train Epoch: 13 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.093030 (0.089467) Boundary_loss: 0.012805 (0.012796) Loss: 0.10584 (0.10226) +2025-08-26,02:42:23 | INFO | Train Epoch: 13 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.080120 (0.089448) Boundary_loss: 0.012826 (0.012796) Loss: 0.092946 (0.10224) +2025-08-26,02:43:28 | INFO | Train Epoch: 13 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.081587 (0.089432) Boundary_loss: 0.012748 (0.012796) Loss: 0.094336 (0.10223) +2025-08-26,02:44:33 | INFO | Train Epoch: 13 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.10179 (0.089457) Boundary_loss: 0.012848 (0.012796) Loss: 0.11464 (0.10225) +2025-08-26,02:45:38 | INFO | Train Epoch: 13 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.081639 (0.089442) Boundary_loss: 0.012770 (0.012796) Loss: 0.094409 (0.10224) +2025-08-26,02:46:43 | INFO | Train Epoch: 13 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.082355 (0.089427) Boundary_loss: 0.012801 (0.012796) Loss: 0.095156 (0.10222) +2025-08-26,02:47:48 | INFO | Train Epoch: 13 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.079467 (0.089408) Boundary_loss: 0.012767 (0.012796) Loss: 0.092233 (0.10220) +2025-08-26,02:48:53 | INFO | Train Epoch: 13 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.084889 (0.089399) Boundary_loss: 0.012877 (0.012796) Loss: 0.097767 (0.10220) +2025-08-26,02:49:58 | INFO | Train Epoch: 13 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.11999 (0.089459) Boundary_loss: 0.012776 (0.012796) Loss: 0.13276 (0.10226) +2025-08-26,02:51:03 | INFO | Train Epoch: 13 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.089252 (0.089459) Boundary_loss: 0.012768 (0.012796) Loss: 0.10202 (0.10225) +2025-08-26,02:52:08 | INFO | Train Epoch: 13 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.078628 (0.089437) Boundary_loss: 0.012721 (0.012796) Loss: 0.091349 (0.10223) +2025-08-26,02:53:12 | INFO | Train Epoch: 13 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.092021 (0.089442) Boundary_loss: 0.012758 (0.012796) Loss: 0.10478 (0.10224) +2025-08-26,02:54:17 | INFO | Train Epoch: 13 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.075097 (0.089415) Boundary_loss: 0.012871 (0.012796) Loss: 0.087969 (0.10221) +2025-08-26,02:55:22 | INFO | Train Epoch: 13 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.10569 (0.089446) Boundary_loss: 0.012763 (0.012796) Loss: 0.11845 (0.10224) +2025-08-26,02:56:27 | INFO | Train Epoch: 13 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.094456 (0.089456) Boundary_loss: 0.012869 (0.012796) Loss: 0.10732 (0.10225) +2025-08-26,02:57:29 | INFO | Train Epoch: 13 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.068482 (0.089415) Boundary_loss: 0.012803 (0.012796) Loss: 0.081285 (0.10221) +2025-08-26,02:57:29 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-26,02:57:29 | INFO | [Epoch 13] Average Step Time: 0.652s | Average GPU Memory: 37.2 GB +2025-08-26,02:57:29 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-26,02:57:29 | INFO | Starting zero-shot imagenet. +2025-08-26,02:57:29 | INFO | Building zero-shot classifier +2025-08-26,02:57:39 | INFO | Using classifier +2025-08-26,02:58:22 | INFO | Finished zero-shot imagenet. +2025-08-26,02:58:22 | INFO | Eval Epoch: 14 imagenet-zeroshot-val-top1: 0.3174 imagenet-zeroshot-val-top5: 0.5925 +2025-08-26,02:58:23 | INFO | Start epoch 14 +2025-08-26,02:58:26 | INFO | Train Epoch: 14 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.083104 (0.083104) Boundary_loss: 0.012779 (0.012779) Loss: 0.095883 (0.095883) +2025-08-26,02:59:30 | INFO | Train Epoch: 14 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.10005 (0.091575) Boundary_loss: 0.012851 (0.012815) Loss: 0.11290 (0.10439) +2025-08-26,03:00:35 | INFO | Train Epoch: 14 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.053481 (0.078877) Boundary_loss: 0.012747 (0.012792) Loss: 0.066228 (0.091669) +2025-08-26,03:01:39 | INFO | Train Epoch: 14 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.076530 (0.078290) Boundary_loss: 0.012749 (0.012782) Loss: 0.089280 (0.091072) +2025-08-26,03:02:44 | INFO | Train Epoch: 14 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.060745 (0.074781) Boundary_loss: 0.012714 (0.012768) Loss: 0.073459 (0.087549) +2025-08-26,03:03:49 | INFO | Train Epoch: 14 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.10761 (0.080253) Boundary_loss: 0.012733 (0.012762) Loss: 0.12034 (0.093015) +2025-08-26,03:04:53 | INFO | Train Epoch: 14 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.079102 (0.080088) Boundary_loss: 0.012801 (0.012768) Loss: 0.091903 (0.092856) +2025-08-26,03:05:58 | INFO | Train Epoch: 14 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.074016 (0.079329) Boundary_loss: 0.012849 (0.012778) Loss: 0.086866 (0.092107) +2025-08-26,03:07:03 | INFO | Train Epoch: 14 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.077654 (0.079143) Boundary_loss: 0.012778 (0.012778) Loss: 0.090431 (0.091921) +2025-08-26,03:08:07 | INFO | Train Epoch: 14 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.087797 (0.080009) Boundary_loss: 0.012760 (0.012776) Loss: 0.10056 (0.092785) +2025-08-26,03:09:12 | INFO | Train Epoch: 14 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.086278 (0.080579) Boundary_loss: 0.012781 (0.012777) Loss: 0.099059 (0.093355) +2025-08-26,03:10:16 | INFO | Train Epoch: 14 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.073244 (0.079967) Boundary_loss: 0.012823 (0.012780) Loss: 0.086067 (0.092748) +2025-08-26,03:11:21 | INFO | Train Epoch: 14 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.086266 (0.080452) Boundary_loss: 0.012897 (0.012789) Loss: 0.099163 (0.093241) +2025-08-26,03:12:26 | INFO | Train Epoch: 14 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.10476 (0.082188) Boundary_loss: 0.012764 (0.012788) Loss: 0.11753 (0.094976) +2025-08-26,03:13:30 | INFO | Train Epoch: 14 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.063113 (0.080917) Boundary_loss: 0.012857 (0.012792) Loss: 0.075970 (0.093709) +2025-08-26,03:14:35 | INFO | Train Epoch: 14 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.074524 (0.080517) Boundary_loss: 0.012818 (0.012794) Loss: 0.087342 (0.093311) +2025-08-26,03:15:39 | INFO | Train Epoch: 14 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.057323 (0.079153) Boundary_loss: 0.012790 (0.012794) Loss: 0.070112 (0.091946) +2025-08-26,03:16:44 | INFO | Train Epoch: 14 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.079718 (0.079184) Boundary_loss: 0.012764 (0.012792) Loss: 0.092483 (0.091976) +2025-08-26,03:17:49 | INFO | Train Epoch: 14 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.10634 (0.080614) Boundary_loss: 0.012841 (0.012795) Loss: 0.11919 (0.093408) +2025-08-26,03:18:53 | INFO | Train Epoch: 14 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.11961 (0.082564) Boundary_loss: 0.012786 (0.012794) Loss: 0.13240 (0.095358) +2025-08-26,03:19:58 | INFO | Train Epoch: 14 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.071255 (0.082025) Boundary_loss: 0.012875 (0.012798) Loss: 0.084130 (0.094823) +2025-08-26,03:21:03 | INFO | Train Epoch: 14 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.057380 (0.080905) Boundary_loss: 0.012877 (0.012802) Loss: 0.070257 (0.093706) +2025-08-26,03:22:07 | INFO | Train Epoch: 14 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.10634 (0.082010) Boundary_loss: 0.012815 (0.012802) Loss: 0.11915 (0.094813) +2025-08-26,03:23:12 | INFO | Train Epoch: 14 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.072775 (0.081626) Boundary_loss: 0.012790 (0.012802) Loss: 0.085565 (0.094427) +2025-08-26,03:24:17 | INFO | Train Epoch: 14 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.094485 (0.082140) Boundary_loss: 0.012748 (0.012800) Loss: 0.10723 (0.094940) +2025-08-26,03:25:21 | INFO | Train Epoch: 14 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.10281 (0.082935) Boundary_loss: 0.012730 (0.012797) Loss: 0.11554 (0.095732) +2025-08-26,03:26:26 | INFO | Train Epoch: 14 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.074830 (0.082635) Boundary_loss: 0.012799 (0.012797) Loss: 0.087629 (0.095432) +2025-08-26,03:27:31 | INFO | Train Epoch: 14 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 0.096270 (0.083122) Boundary_loss: 0.012849 (0.012799) Loss: 0.10912 (0.095921) +2025-08-26,03:28:35 | INFO | Train Epoch: 14 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.099601 (0.083690) Boundary_loss: 0.012829 (0.012800) Loss: 0.11243 (0.096490) +2025-08-26,03:29:40 | INFO | Train Epoch: 14 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.10398 (0.084366) Boundary_loss: 0.012735 (0.012798) Loss: 0.11671 (0.097164) +2025-08-26,03:30:45 | INFO | Train Epoch: 14 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.080987 (0.084257) Boundary_loss: 0.012763 (0.012797) Loss: 0.093750 (0.097054) +2025-08-26,03:31:49 | INFO | Train Epoch: 14 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.088888 (0.084402) Boundary_loss: 0.012770 (0.012796) Loss: 0.10166 (0.097198) +2025-08-26,03:32:54 | INFO | Train Epoch: 14 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.074284 (0.084095) Boundary_loss: 0.012823 (0.012797) Loss: 0.087107 (0.096892) +2025-08-26,03:33:59 | INFO | Train Epoch: 14 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.094794 (0.084410) Boundary_loss: 0.012859 (0.012798) Loss: 0.10765 (0.097208) +2025-08-26,03:35:03 | INFO | Train Epoch: 14 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.088645 (0.084531) Boundary_loss: 0.012764 (0.012797) Loss: 0.10141 (0.097328) +2025-08-26,03:36:08 | INFO | Train Epoch: 14 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.041046 (0.083323) Boundary_loss: 0.012876 (0.012800) Loss: 0.053922 (0.096123) +2025-08-26,03:37:13 | INFO | Train Epoch: 14 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.060082 (0.082695) Boundary_loss: 0.012712 (0.012797) Loss: 0.072794 (0.095492) +2025-08-26,03:38:17 | INFO | Train Epoch: 14 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.063819 (0.082198) Boundary_loss: 0.012828 (0.012798) Loss: 0.076648 (0.094996) +2025-08-26,03:39:22 | INFO | Train Epoch: 14 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.084473 (0.082257) Boundary_loss: 0.012884 (0.012800) Loss: 0.097358 (0.095057) +2025-08-26,03:40:27 | INFO | Train Epoch: 14 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.050661 (0.081467) Boundary_loss: 0.012779 (0.012800) Loss: 0.063440 (0.094266) +2025-08-26,03:41:31 | INFO | Train Epoch: 14 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.079474 (0.081418) Boundary_loss: 0.012805 (0.012800) Loss: 0.092279 (0.094218) +2025-08-26,03:42:36 | INFO | Train Epoch: 14 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.077820 (0.081332) Boundary_loss: 0.012777 (0.012799) Loss: 0.090596 (0.094132) +2025-08-26,03:43:41 | INFO | Train Epoch: 14 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.095181 (0.081654) Boundary_loss: 0.012843 (0.012800) Loss: 0.10802 (0.094455) +2025-08-26,03:44:45 | INFO | Train Epoch: 14 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.078337 (0.081579) Boundary_loss: 0.012770 (0.012800) Loss: 0.091106 (0.094379) +2025-08-26,03:45:50 | INFO | Train Epoch: 14 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.055650 (0.081003) Boundary_loss: 0.012868 (0.012801) Loss: 0.068518 (0.093804) +2025-08-26,03:46:55 | INFO | Train Epoch: 14 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.11047 (0.081643) Boundary_loss: 0.012803 (0.012801) Loss: 0.12327 (0.094445) +2025-08-26,03:48:00 | INFO | Train Epoch: 14 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.089777 (0.081816) Boundary_loss: 0.012839 (0.012802) Loss: 0.10262 (0.094618) +2025-08-26,03:49:04 | INFO | Train Epoch: 14 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.079284 (0.081764) Boundary_loss: 0.012890 (0.012804) Loss: 0.092174 (0.094567) +2025-08-26,03:50:09 | INFO | Train Epoch: 14 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.075478 (0.081635) Boundary_loss: 0.012763 (0.012803) Loss: 0.088241 (0.094438) +2025-08-26,03:51:14 | INFO | Train Epoch: 14 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.085659 (0.081716) Boundary_loss: 0.012753 (0.012802) Loss: 0.098412 (0.094518) +2025-08-26,03:52:18 | INFO | Train Epoch: 14 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.10122 (0.082098) Boundary_loss: 0.012806 (0.012802) Loss: 0.11403 (0.094900) +2025-08-26,03:53:23 | INFO | Train Epoch: 14 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.099578 (0.082434) Boundary_loss: 0.012748 (0.012801) Loss: 0.11233 (0.095235) +2025-08-26,03:54:28 | INFO | Train Epoch: 14 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.077830 (0.082348) Boundary_loss: 0.012814 (0.012801) Loss: 0.090644 (0.095149) +2025-08-26,03:55:32 | INFO | Train Epoch: 14 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.097506 (0.082628) Boundary_loss: 0.012751 (0.012800) Loss: 0.11026 (0.095429) +2025-08-26,03:56:37 | INFO | Train Epoch: 14 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.10029 (0.082949) Boundary_loss: 0.012779 (0.012800) Loss: 0.11307 (0.095749) +2025-08-26,03:57:42 | INFO | Train Epoch: 14 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.050363 (0.082367) Boundary_loss: 0.012782 (0.012800) Loss: 0.063145 (0.095167) +2025-08-26,03:58:47 | INFO | Train Epoch: 14 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.085688 (0.082426) Boundary_loss: 0.012721 (0.012798) Loss: 0.098408 (0.095224) +2025-08-26,03:59:51 | INFO | Train Epoch: 14 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.066520 (0.082151) Boundary_loss: 0.012822 (0.012799) Loss: 0.079342 (0.094950) +2025-08-26,04:00:56 | INFO | Train Epoch: 14 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.078807 (0.082095) Boundary_loss: 0.012834 (0.012799) Loss: 0.091642 (0.094894) +2025-08-26,04:02:01 | INFO | Train Epoch: 14 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.088544 (0.082202) Boundary_loss: 0.012782 (0.012799) Loss: 0.10133 (0.095001) +2025-08-26,04:03:05 | INFO | Train Epoch: 14 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.077441 (0.082124) Boundary_loss: 0.012838 (0.012800) Loss: 0.090279 (0.094924) +2025-08-26,04:04:10 | INFO | Train Epoch: 14 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.096913 (0.082363) Boundary_loss: 0.012845 (0.012800) Loss: 0.10976 (0.095163) +2025-08-26,04:05:15 | INFO | Train Epoch: 14 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.059288 (0.081996) Boundary_loss: 0.012729 (0.012799) Loss: 0.072017 (0.094796) +2025-08-26,04:06:20 | INFO | Train Epoch: 14 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.068551 (0.081786) Boundary_loss: 0.012847 (0.012800) Loss: 0.081397 (0.094586) +2025-08-26,04:07:24 | INFO | Train Epoch: 14 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.090051 (0.081913) Boundary_loss: 0.012736 (0.012799) Loss: 0.10279 (0.094712) +2025-08-26,04:08:29 | INFO | Train Epoch: 14 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.11857 (0.082469) Boundary_loss: 0.012827 (0.012799) Loss: 0.13140 (0.095268) +2025-08-26,04:09:34 | INFO | Train Epoch: 14 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.065395 (0.082214) Boundary_loss: 0.012817 (0.012800) Loss: 0.078212 (0.095014) +2025-08-26,04:10:38 | INFO | Train Epoch: 14 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.086946 (0.082284) Boundary_loss: 0.012823 (0.012800) Loss: 0.099768 (0.095084) +2025-08-26,04:11:43 | INFO | Train Epoch: 14 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.073010 (0.082149) Boundary_loss: 0.012772 (0.012800) Loss: 0.085782 (0.094949) +2025-08-26,04:12:48 | INFO | Train Epoch: 14 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.079866 (0.082117) Boundary_loss: 0.012772 (0.012799) Loss: 0.092638 (0.094916) +2025-08-26,04:13:53 | INFO | Train Epoch: 14 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.074439 (0.082009) Boundary_loss: 0.012881 (0.012800) Loss: 0.087320 (0.094809) +2025-08-26,04:14:57 | INFO | Train Epoch: 14 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.071187 (0.081858) Boundary_loss: 0.012783 (0.012800) Loss: 0.083969 (0.094658) +2025-08-26,04:16:02 | INFO | Train Epoch: 14 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.094809 (0.082036) Boundary_loss: 0.012787 (0.012800) Loss: 0.10760 (0.094836) +2025-08-26,04:17:07 | INFO | Train Epoch: 14 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.074242 (0.081930) Boundary_loss: 0.012900 (0.012801) Loss: 0.087142 (0.094732) +2025-08-26,04:18:12 | INFO | Train Epoch: 14 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.062003 (0.081665) Boundary_loss: 0.012904 (0.012803) Loss: 0.074908 (0.094467) +2025-08-26,04:19:16 | INFO | Train Epoch: 14 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.078060 (0.081617) Boundary_loss: 0.012793 (0.012803) Loss: 0.090853 (0.094420) +2025-08-26,04:20:21 | INFO | Train Epoch: 14 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.069376 (0.081458) Boundary_loss: 0.012885 (0.012804) Loss: 0.082261 (0.094262) +2025-08-26,04:21:26 | INFO | Train Epoch: 14 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.049597 (0.081050) Boundary_loss: 0.012775 (0.012803) Loss: 0.062372 (0.093853) +2025-08-26,04:22:31 | INFO | Train Epoch: 14 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.077793 (0.081009) Boundary_loss: 0.012790 (0.012803) Loss: 0.090583 (0.093812) +2025-08-26,04:23:35 | INFO | Train Epoch: 14 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.069575 (0.080866) Boundary_loss: 0.012761 (0.012803) Loss: 0.082336 (0.093668) +2025-08-26,04:24:40 | INFO | Train Epoch: 14 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.092389 (0.081008) Boundary_loss: 0.012847 (0.012803) Loss: 0.10524 (0.093811) +2025-08-26,04:25:45 | INFO | Train Epoch: 14 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.074723 (0.080931) Boundary_loss: 0.012886 (0.012804) Loss: 0.087609 (0.093735) +2025-08-26,04:26:50 | INFO | Train Epoch: 14 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.061381 (0.080696) Boundary_loss: 0.012699 (0.012803) Loss: 0.074080 (0.093499) +2025-08-26,04:27:55 | INFO | Train Epoch: 14 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.082629 (0.080719) Boundary_loss: 0.012835 (0.012803) Loss: 0.095464 (0.093522) +2025-08-26,04:28:59 | INFO | Train Epoch: 14 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.11517 (0.081124) Boundary_loss: 0.012804 (0.012803) Loss: 0.12797 (0.093927) +2025-08-26,04:30:04 | INFO | Train Epoch: 14 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.090496 (0.081233) Boundary_loss: 0.012818 (0.012803) Loss: 0.10331 (0.094036) +2025-08-26,04:31:09 | INFO | Train Epoch: 14 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.070272 (0.081107) Boundary_loss: 0.012780 (0.012803) Loss: 0.083052 (0.093910) +2025-08-26,04:32:14 | INFO | Train Epoch: 14 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.082755 (0.081126) Boundary_loss: 0.012720 (0.012802) Loss: 0.095475 (0.093928) +2025-08-26,04:33:18 | INFO | Train Epoch: 14 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.089114 (0.081216) Boundary_loss: 0.012759 (0.012802) Loss: 0.10187 (0.094017) +2025-08-26,04:34:23 | INFO | Train Epoch: 14 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.068786 (0.081077) Boundary_loss: 0.012803 (0.012802) Loss: 0.081589 (0.093879) +2025-08-26,04:35:28 | INFO | Train Epoch: 14 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.078542 (0.081050) Boundary_loss: 0.012798 (0.012802) Loss: 0.091340 (0.093851) +2025-08-26,04:36:33 | INFO | Train Epoch: 14 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.076415 (0.080999) Boundary_loss: 0.012842 (0.012802) Loss: 0.089256 (0.093801) +2025-08-26,04:37:38 | INFO | Train Epoch: 14 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.090991 (0.081107) Boundary_loss: 0.012782 (0.012802) Loss: 0.10377 (0.093908) +2025-08-26,04:38:42 | INFO | Train Epoch: 14 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.078391 (0.081078) Boundary_loss: 0.012872 (0.012803) Loss: 0.091262 (0.093880) +2025-08-26,04:39:47 | INFO | Train Epoch: 14 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.079696 (0.081063) Boundary_loss: 0.012806 (0.012803) Loss: 0.092502 (0.093866) +2025-08-26,04:40:52 | INFO | Train Epoch: 14 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.097904 (0.081239) Boundary_loss: 0.012687 (0.012801) Loss: 0.11059 (0.094040) +2025-08-26,04:41:57 | INFO | Train Epoch: 14 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.089413 (0.081323) Boundary_loss: 0.012883 (0.012802) Loss: 0.10230 (0.094125) +2025-08-26,04:43:01 | INFO | Train Epoch: 14 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.099894 (0.081512) Boundary_loss: 0.012754 (0.012802) Loss: 0.11265 (0.094314) +2025-08-26,04:44:06 | INFO | Train Epoch: 14 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.068141 (0.081377) Boundary_loss: 0.012738 (0.012801) Loss: 0.080880 (0.094178) +2025-08-26,04:45:11 | INFO | Train Epoch: 14 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.086610 (0.081430) Boundary_loss: 0.012760 (0.012801) Loss: 0.099370 (0.094230) +2025-08-26,04:46:16 | INFO | Train Epoch: 14 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.062936 (0.081247) Boundary_loss: 0.012799 (0.012801) Loss: 0.075735 (0.094047) +2025-08-26,04:47:21 | INFO | Train Epoch: 14 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.088745 (0.081320) Boundary_loss: 0.012715 (0.012800) Loss: 0.10146 (0.094120) +2025-08-26,04:48:25 | INFO | Train Epoch: 14 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.12335 (0.081728) Boundary_loss: 0.012774 (0.012800) Loss: 0.13613 (0.094528) +2025-08-26,04:49:30 | INFO | Train Epoch: 14 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.071897 (0.081634) Boundary_loss: 0.012783 (0.012799) Loss: 0.084681 (0.094433) +2025-08-26,04:50:35 | INFO | Train Epoch: 14 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.073611 (0.081557) Boundary_loss: 0.012833 (0.012800) Loss: 0.086444 (0.094357) +2025-08-26,04:51:40 | INFO | Train Epoch: 14 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.086506 (0.081604) Boundary_loss: 0.012693 (0.012799) Loss: 0.099199 (0.094403) +2025-08-26,04:52:44 | INFO | Train Epoch: 14 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.073515 (0.081528) Boundary_loss: 0.012736 (0.012798) Loss: 0.086251 (0.094326) +2025-08-26,04:53:49 | INFO | Train Epoch: 14 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.10315 (0.081728) Boundary_loss: 0.012819 (0.012798) Loss: 0.11597 (0.094527) +2025-08-26,04:54:54 | INFO | Train Epoch: 14 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.094505 (0.081846) Boundary_loss: 0.012937 (0.012800) Loss: 0.10744 (0.094645) +2025-08-26,04:55:59 | INFO | Train Epoch: 14 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.053795 (0.081591) Boundary_loss: 0.012791 (0.012800) Loss: 0.066586 (0.094390) +2025-08-26,04:57:04 | INFO | Train Epoch: 14 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.094284 (0.081705) Boundary_loss: 0.012760 (0.012799) Loss: 0.10704 (0.094504) +2025-08-26,04:58:08 | INFO | Train Epoch: 14 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.076382 (0.081658) Boundary_loss: 0.012759 (0.012799) Loss: 0.089141 (0.094456) +2025-08-26,04:59:13 | INFO | Train Epoch: 14 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.060962 (0.081474) Boundary_loss: 0.012902 (0.012800) Loss: 0.073863 (0.094274) +2025-08-26,05:00:18 | INFO | Train Epoch: 14 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.059411 (0.081281) Boundary_loss: 0.012846 (0.012800) Loss: 0.072257 (0.094081) +2025-08-26,05:01:23 | INFO | Train Epoch: 14 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.081660 (0.081284) Boundary_loss: 0.012776 (0.012800) Loss: 0.094437 (0.094084) +2025-08-26,05:02:27 | INFO | Train Epoch: 14 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.096096 (0.081412) Boundary_loss: 0.012759 (0.012800) Loss: 0.10886 (0.094211) +2025-08-26,05:03:32 | INFO | Train Epoch: 14 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.068967 (0.081305) Boundary_loss: 0.012827 (0.012800) Loss: 0.081794 (0.094105) +2025-08-26,05:04:37 | INFO | Train Epoch: 14 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.069591 (0.081206) Boundary_loss: 0.012829 (0.012800) Loss: 0.082420 (0.094006) +2025-08-26,05:05:42 | INFO | Train Epoch: 14 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.058896 (0.081019) Boundary_loss: 0.012773 (0.012800) Loss: 0.071670 (0.093819) +2025-08-26,05:06:47 | INFO | Train Epoch: 14 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.078903 (0.081001) Boundary_loss: 0.012799 (0.012800) Loss: 0.091702 (0.093801) +2025-08-26,05:07:52 | INFO | Train Epoch: 14 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.077502 (0.080972) Boundary_loss: 0.012789 (0.012800) Loss: 0.090292 (0.093772) +2025-08-26,05:08:56 | INFO | Train Epoch: 14 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.089372 (0.081041) Boundary_loss: 0.012801 (0.012800) Loss: 0.10217 (0.093841) +2025-08-26,05:10:01 | INFO | Train Epoch: 14 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.078427 (0.081020) Boundary_loss: 0.012831 (0.012800) Loss: 0.091257 (0.093820) +2025-08-26,05:11:06 | INFO | Train Epoch: 14 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.10144 (0.081184) Boundary_loss: 0.012806 (0.012800) Loss: 0.11424 (0.093985) +2025-08-26,05:12:11 | INFO | Train Epoch: 14 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.087193 (0.081232) Boundary_loss: 0.012854 (0.012801) Loss: 0.10005 (0.094033) +2025-08-26,05:13:15 | INFO | Train Epoch: 14 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.063421 (0.081091) Boundary_loss: 0.012834 (0.012801) Loss: 0.076255 (0.093892) +2025-08-26,05:14:20 | INFO | Train Epoch: 14 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.067871 (0.080987) Boundary_loss: 0.012909 (0.012802) Loss: 0.080780 (0.093789) +2025-08-26,05:15:25 | INFO | Train Epoch: 14 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.086846 (0.081033) Boundary_loss: 0.012796 (0.012802) Loss: 0.099642 (0.093834) +2025-08-26,05:16:30 | INFO | Train Epoch: 14 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.086971 (0.081079) Boundary_loss: 0.012851 (0.012802) Loss: 0.099822 (0.093881) +2025-08-26,05:17:35 | INFO | Train Epoch: 14 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.074609 (0.081029) Boundary_loss: 0.012745 (0.012802) Loss: 0.087355 (0.093831) +2025-08-26,05:18:39 | INFO | Train Epoch: 14 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.092307 (0.081115) Boundary_loss: 0.012743 (0.012801) Loss: 0.10505 (0.093916) +2025-08-26,05:19:44 | INFO | Train Epoch: 14 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.084809 (0.081143) Boundary_loss: 0.012771 (0.012801) Loss: 0.097579 (0.093944) +2025-08-26,05:20:49 | INFO | Train Epoch: 14 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.095590 (0.081252) Boundary_loss: 0.012769 (0.012801) Loss: 0.10836 (0.094052) +2025-08-26,05:21:54 | INFO | Train Epoch: 14 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.059259 (0.081088) Boundary_loss: 0.012800 (0.012801) Loss: 0.072059 (0.093888) +2025-08-26,05:22:59 | INFO | Train Epoch: 14 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.065602 (0.080973) Boundary_loss: 0.012766 (0.012800) Loss: 0.078368 (0.093773) +2025-08-26,05:24:03 | INFO | Train Epoch: 14 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.074797 (0.080928) Boundary_loss: 0.012817 (0.012801) Loss: 0.087614 (0.093728) +2025-08-26,05:25:08 | INFO | Train Epoch: 14 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.079621 (0.080918) Boundary_loss: 0.012772 (0.012800) Loss: 0.092393 (0.093718) +2025-08-26,05:26:13 | INFO | Train Epoch: 14 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.10670 (0.081105) Boundary_loss: 0.012853 (0.012801) Loss: 0.11955 (0.093905) +2025-08-26,05:27:18 | INFO | Train Epoch: 14 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.10475 (0.081275) Boundary_loss: 0.012846 (0.012801) Loss: 0.11760 (0.094076) +2025-08-26,05:28:23 | INFO | Train Epoch: 14 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.069814 (0.081193) Boundary_loss: 0.012789 (0.012801) Loss: 0.082603 (0.093994) +2025-08-26,05:29:27 | INFO | Train Epoch: 14 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.078213 (0.081172) Boundary_loss: 0.012669 (0.012800) Loss: 0.090882 (0.093972) +2025-08-26,05:30:32 | INFO | Train Epoch: 14 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.079783 (0.081162) Boundary_loss: 0.012795 (0.012800) Loss: 0.092578 (0.093962) +2025-08-26,05:31:37 | INFO | Train Epoch: 14 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.058873 (0.081006) Boundary_loss: 0.012834 (0.012800) Loss: 0.071707 (0.093806) +2025-08-26,05:32:42 | INFO | Train Epoch: 14 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.096723 (0.081115) Boundary_loss: 0.012847 (0.012801) Loss: 0.10957 (0.093916) +2025-08-26,05:33:47 | INFO | Train Epoch: 14 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.076581 (0.081084) Boundary_loss: 0.012806 (0.012801) Loss: 0.089386 (0.093885) +2025-08-26,05:34:51 | INFO | Train Epoch: 14 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.067569 (0.080992) Boundary_loss: 0.012837 (0.012801) Loss: 0.080407 (0.093792) +2025-08-26,05:35:56 | INFO | Train Epoch: 14 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.061076 (0.080856) Boundary_loss: 0.012739 (0.012800) Loss: 0.073815 (0.093656) +2025-08-26,05:37:01 | INFO | Train Epoch: 14 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.11208 (0.081067) Boundary_loss: 0.012821 (0.012801) Loss: 0.12490 (0.093868) +2025-08-26,05:38:06 | INFO | Train Epoch: 14 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.090323 (0.081129) Boundary_loss: 0.012776 (0.012800) Loss: 0.10310 (0.093930) +2025-08-26,05:39:11 | INFO | Train Epoch: 14 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.066675 (0.081033) Boundary_loss: 0.012822 (0.012800) Loss: 0.079497 (0.093833) +2025-08-26,05:40:16 | INFO | Train Epoch: 14 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.059174 (0.080888) Boundary_loss: 0.012832 (0.012801) Loss: 0.072006 (0.093689) +2025-08-26,05:41:20 | INFO | Train Epoch: 14 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.083333 (0.080904) Boundary_loss: 0.012825 (0.012801) Loss: 0.096158 (0.093705) +2025-08-26,05:42:25 | INFO | Train Epoch: 14 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.051775 (0.080714) Boundary_loss: 0.012828 (0.012801) Loss: 0.064603 (0.093515) +2025-08-26,05:43:30 | INFO | Train Epoch: 14 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.10957 (0.080901) Boundary_loss: 0.012706 (0.012800) Loss: 0.12228 (0.093702) +2025-08-26,05:44:35 | INFO | Train Epoch: 14 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.096116 (0.080999) Boundary_loss: 0.012814 (0.012801) Loss: 0.10893 (0.093800) +2025-08-26,05:45:40 | INFO | Train Epoch: 14 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.061488 (0.080874) Boundary_loss: 0.012797 (0.012800) Loss: 0.074285 (0.093675) +2025-08-26,05:46:44 | INFO | Train Epoch: 14 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.076426 (0.080846) Boundary_loss: 0.012759 (0.012800) Loss: 0.089185 (0.093646) +2025-08-26,05:47:49 | INFO | Train Epoch: 14 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.090639 (0.080908) Boundary_loss: 0.012674 (0.012799) Loss: 0.10331 (0.093707) +2025-08-26,05:48:54 | INFO | Train Epoch: 14 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.076782 (0.080882) Boundary_loss: 0.012838 (0.012800) Loss: 0.089620 (0.093682) +2025-08-26,05:49:59 | INFO | Train Epoch: 14 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.080728 (0.080881) Boundary_loss: 0.012721 (0.012799) Loss: 0.093448 (0.093680) +2025-08-26,05:51:03 | INFO | Train Epoch: 14 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.10102 (0.081006) Boundary_loss: 0.012787 (0.012799) Loss: 0.11381 (0.093805) +2025-08-26,05:52:08 | INFO | Train Epoch: 14 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.074647 (0.080967) Boundary_loss: 0.012799 (0.012799) Loss: 0.087447 (0.093766) +2025-08-26,05:53:13 | INFO | Train Epoch: 14 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.074959 (0.080930) Boundary_loss: 0.012881 (0.012800) Loss: 0.087839 (0.093730) +2025-08-26,05:54:18 | INFO | Train Epoch: 14 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.086640 (0.080965) Boundary_loss: 0.012789 (0.012800) Loss: 0.099429 (0.093764) +2025-08-26,05:55:23 | INFO | Train Epoch: 14 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.061777 (0.080848) Boundary_loss: 0.012777 (0.012799) Loss: 0.074554 (0.093648) +2025-08-26,05:56:27 | INFO | Train Epoch: 14 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.083132 (0.080862) Boundary_loss: 0.012705 (0.012799) Loss: 0.095837 (0.093661) +2025-08-26,05:57:32 | INFO | Train Epoch: 14 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.057289 (0.080721) Boundary_loss: 0.012819 (0.012799) Loss: 0.070108 (0.093520) +2025-08-26,05:58:37 | INFO | Train Epoch: 14 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.087980 (0.080764) Boundary_loss: 0.012753 (0.012799) Loss: 0.10073 (0.093563) +2025-08-26,05:59:42 | INFO | Train Epoch: 14 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.10885 (0.080930) Boundary_loss: 0.012734 (0.012798) Loss: 0.12159 (0.093729) +2025-08-26,06:00:47 | INFO | Train Epoch: 14 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.089043 (0.080978) Boundary_loss: 0.012698 (0.012798) Loss: 0.10174 (0.093776) +2025-08-26,06:01:51 | INFO | Train Epoch: 14 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.066364 (0.080893) Boundary_loss: 0.012800 (0.012798) Loss: 0.079164 (0.093690) +2025-08-26,06:02:56 | INFO | Train Epoch: 14 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.073409 (0.080849) Boundary_loss: 0.012760 (0.012798) Loss: 0.086168 (0.093647) +2025-08-26,06:04:01 | INFO | Train Epoch: 14 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.077773 (0.080831) Boundary_loss: 0.012814 (0.012798) Loss: 0.090588 (0.093629) +2025-08-26,06:05:06 | INFO | Train Epoch: 14 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.061309 (0.080719) Boundary_loss: 0.012872 (0.012798) Loss: 0.074181 (0.093517) +2025-08-26,06:06:11 | INFO | Train Epoch: 14 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.078772 (0.080708) Boundary_loss: 0.012825 (0.012798) Loss: 0.091596 (0.093506) +2025-08-26,06:07:15 | INFO | Train Epoch: 14 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.10634 (0.080854) Boundary_loss: 0.012828 (0.012798) Loss: 0.11917 (0.093652) +2025-08-26,06:08:20 | INFO | Train Epoch: 14 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.065036 (0.080764) Boundary_loss: 0.012804 (0.012798) Loss: 0.077840 (0.093563) +2025-08-26,06:09:25 | INFO | Train Epoch: 14 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.065425 (0.080678) Boundary_loss: 0.012800 (0.012798) Loss: 0.078224 (0.093477) +2025-08-26,06:10:30 | INFO | Train Epoch: 14 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.004 Boundary Ratio: 0.097 Contrastive_loss: 0.050368 (0.080509) Boundary_loss: 0.012800 (0.012798) Loss: 0.063168 (0.093307) +2025-08-26,06:11:35 | INFO | Train Epoch: 14 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.087034 (0.080545) Boundary_loss: 0.012779 (0.012798) Loss: 0.099813 (0.093343) +2025-08-26,06:12:40 | INFO | Train Epoch: 14 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.10110 (0.080659) Boundary_loss: 0.012859 (0.012799) Loss: 0.11396 (0.093457) +2025-08-26,06:13:44 | INFO | Train Epoch: 14 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.073920 (0.080622) Boundary_loss: 0.012761 (0.012798) Loss: 0.086682 (0.093420) +2025-08-26,06:14:49 | INFO | Train Epoch: 14 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.072761 (0.080579) Boundary_loss: 0.012744 (0.012798) Loss: 0.085504 (0.093377) +2025-08-26,06:15:54 | INFO | Train Epoch: 14 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.046037 (0.080391) Boundary_loss: 0.012778 (0.012798) Loss: 0.058814 (0.093189) +2025-08-26,06:16:59 | INFO | Train Epoch: 14 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.078145 (0.080379) Boundary_loss: 0.012802 (0.012798) Loss: 0.090947 (0.093177) +2025-08-26,06:18:04 | INFO | Train Epoch: 14 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.084833 (0.080403) Boundary_loss: 0.012861 (0.012798) Loss: 0.097694 (0.093201) +2025-08-26,06:19:08 | INFO | Train Epoch: 14 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.075175 (0.080375) Boundary_loss: 0.012766 (0.012798) Loss: 0.087941 (0.093173) +2025-08-26,06:20:13 | INFO | Train Epoch: 14 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.061353 (0.080274) Boundary_loss: 0.012875 (0.012799) Loss: 0.074228 (0.093072) +2025-08-26,06:21:18 | INFO | Train Epoch: 14 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.081446 (0.080280) Boundary_loss: 0.012784 (0.012799) Loss: 0.094230 (0.093078) +2025-08-26,06:22:23 | INFO | Train Epoch: 14 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.099064 (0.080379) Boundary_loss: 0.012854 (0.012799) Loss: 0.11192 (0.093178) +2025-08-26,06:23:28 | INFO | Train Epoch: 14 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.073038 (0.080340) Boundary_loss: 0.012740 (0.012799) Loss: 0.085778 (0.093139) +2025-08-26,06:24:32 | INFO | Train Epoch: 14 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.057103 (0.080219) Boundary_loss: 0.012726 (0.012798) Loss: 0.069829 (0.093017) +2025-08-26,06:25:37 | INFO | Train Epoch: 14 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.086723 (0.080253) Boundary_loss: 0.012729 (0.012798) Loss: 0.099453 (0.093051) +2025-08-26,06:26:42 | INFO | Train Epoch: 14 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.098959 (0.080349) Boundary_loss: 0.012847 (0.012798) Loss: 0.11181 (0.093147) +2025-08-26,06:27:47 | INFO | Train Epoch: 14 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.074612 (0.080320) Boundary_loss: 0.012777 (0.012798) Loss: 0.087388 (0.093118) +2025-08-26,06:28:52 | INFO | Train Epoch: 14 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.10143 (0.080428) Boundary_loss: 0.012879 (0.012798) Loss: 0.11431 (0.093226) +2025-08-26,06:29:56 | INFO | Train Epoch: 14 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.073493 (0.080392) Boundary_loss: 0.012780 (0.012798) Loss: 0.086273 (0.093191) +2025-08-26,06:31:01 | INFO | Train Epoch: 14 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.083689 (0.080409) Boundary_loss: 0.012674 (0.012798) Loss: 0.096363 (0.093207) +2025-08-26,06:32:06 | INFO | Train Epoch: 14 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.067952 (0.080347) Boundary_loss: 0.012734 (0.012797) Loss: 0.080686 (0.093144) +2025-08-26,06:33:11 | INFO | Train Epoch: 14 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.063265 (0.080261) Boundary_loss: 0.012785 (0.012797) Loss: 0.076050 (0.093058) +2025-08-26,06:34:16 | INFO | Train Epoch: 14 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.093375 (0.080326) Boundary_loss: 0.012754 (0.012797) Loss: 0.10613 (0.093123) +2025-08-26,06:35:20 | INFO | Train Epoch: 14 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.077818 (0.080314) Boundary_loss: 0.012797 (0.012797) Loss: 0.090615 (0.093111) +2025-08-26,06:36:25 | INFO | Train Epoch: 14 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.070169 (0.080264) Boundary_loss: 0.012802 (0.012797) Loss: 0.082972 (0.093061) +2025-08-26,06:37:30 | INFO | Train Epoch: 14 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.057344 (0.080152) Boundary_loss: 0.012775 (0.012797) Loss: 0.070119 (0.092949) +2025-08-26,06:38:35 | INFO | Train Epoch: 14 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.097720 (0.080237) Boundary_loss: 0.012899 (0.012797) Loss: 0.11062 (0.093035) +2025-08-26,06:39:39 | INFO | Train Epoch: 14 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.089293 (0.080281) Boundary_loss: 0.012785 (0.012797) Loss: 0.10208 (0.093079) +2025-08-26,06:40:44 | INFO | Train Epoch: 14 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.085942 (0.080309) Boundary_loss: 0.012806 (0.012797) Loss: 0.098748 (0.093106) +2025-08-26,06:41:49 | INFO | Train Epoch: 14 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.073257 (0.080275) Boundary_loss: 0.012743 (0.012797) Loss: 0.086000 (0.093072) +2025-08-26,06:42:54 | INFO | Train Epoch: 14 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.12734 (0.080500) Boundary_loss: 0.012833 (0.012797) Loss: 0.14018 (0.093297) +2025-08-26,06:43:59 | INFO | Train Epoch: 14 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.054892 (0.080378) Boundary_loss: 0.012715 (0.012797) Loss: 0.067607 (0.093175) +2025-08-26,06:45:04 | INFO | Train Epoch: 14 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.088542 (0.080417) Boundary_loss: 0.012784 (0.012797) Loss: 0.10133 (0.093214) +2025-08-26,06:46:08 | INFO | Train Epoch: 14 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.067857 (0.080357) Boundary_loss: 0.012801 (0.012797) Loss: 0.080658 (0.093154) +2025-08-26,06:47:13 | INFO | Train Epoch: 14 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.071750 (0.080317) Boundary_loss: 0.012908 (0.012797) Loss: 0.084657 (0.093114) +2025-08-26,06:48:18 | INFO | Train Epoch: 14 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.084219 (0.080335) Boundary_loss: 0.012817 (0.012798) Loss: 0.097036 (0.093133) +2025-08-26,06:49:23 | INFO | Train Epoch: 14 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.067057 (0.080274) Boundary_loss: 0.012726 (0.012797) Loss: 0.079783 (0.093071) +2025-08-26,06:50:28 | INFO | Train Epoch: 14 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.058723 (0.080174) Boundary_loss: 0.012802 (0.012797) Loss: 0.071526 (0.092971) +2025-08-26,06:51:33 | INFO | Train Epoch: 14 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.073332 (0.080142) Boundary_loss: 0.012757 (0.012797) Loss: 0.086089 (0.092939) +2025-08-26,06:52:37 | INFO | Train Epoch: 14 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.074622 (0.080117) Boundary_loss: 0.012777 (0.012797) Loss: 0.087399 (0.092914) +2025-08-26,06:53:42 | INFO | Train Epoch: 14 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.053568 (0.079996) Boundary_loss: 0.012836 (0.012797) Loss: 0.066403 (0.092793) +2025-08-26,06:54:47 | INFO | Train Epoch: 14 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.074945 (0.079973) Boundary_loss: 0.012834 (0.012797) Loss: 0.087779 (0.092770) +2025-08-26,06:55:52 | INFO | Train Epoch: 14 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.056552 (0.079867) Boundary_loss: 0.012846 (0.012797) Loss: 0.069398 (0.092664) +2025-08-26,06:56:57 | INFO | Train Epoch: 14 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.079085 (0.079863) Boundary_loss: 0.012817 (0.012798) Loss: 0.091902 (0.092661) +2025-08-26,06:58:01 | INFO | Train Epoch: 14 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.093614 (0.079925) Boundary_loss: 0.012726 (0.012797) Loss: 0.10634 (0.092722) +2025-08-26,06:59:06 | INFO | Train Epoch: 14 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.076781 (0.079911) Boundary_loss: 0.012837 (0.012797) Loss: 0.089618 (0.092708) +2025-08-26,07:00:11 | INFO | Train Epoch: 14 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.066176 (0.079850) Boundary_loss: 0.012735 (0.012797) Loss: 0.078911 (0.092647) +2025-08-26,07:01:16 | INFO | Train Epoch: 14 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.078539 (0.079844) Boundary_loss: 0.012781 (0.012797) Loss: 0.091320 (0.092641) +2025-08-26,07:02:21 | INFO | Train Epoch: 14 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.067379 (0.079789) Boundary_loss: 0.012915 (0.012798) Loss: 0.080294 (0.092587) +2025-08-26,07:03:26 | INFO | Train Epoch: 14 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.063200 (0.079716) Boundary_loss: 0.012769 (0.012797) Loss: 0.075969 (0.092514) +2025-08-26,07:04:30 | INFO | Train Epoch: 14 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.070854 (0.079678) Boundary_loss: 0.012776 (0.012797) Loss: 0.083629 (0.092475) +2025-08-26,07:05:35 | INFO | Train Epoch: 14 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.059258 (0.079589) Boundary_loss: 0.012795 (0.012797) Loss: 0.072053 (0.092386) +2025-08-26,07:06:40 | INFO | Train Epoch: 14 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.10954 (0.079718) Boundary_loss: 0.012779 (0.012797) Loss: 0.12231 (0.092516) +2025-08-26,07:07:45 | INFO | Train Epoch: 14 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.047124 (0.079578) Boundary_loss: 0.012879 (0.012798) Loss: 0.060003 (0.092376) +2025-08-26,07:08:50 | INFO | Train Epoch: 14 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.11516 (0.079731) Boundary_loss: 0.012824 (0.012798) Loss: 0.12798 (0.092528) +2025-08-26,07:09:55 | INFO | Train Epoch: 14 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.11364 (0.079876) Boundary_loss: 0.012785 (0.012798) Loss: 0.12642 (0.092673) +2025-08-26,07:10:59 | INFO | Train Epoch: 14 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.11665 (0.080032) Boundary_loss: 0.012764 (0.012798) Loss: 0.12942 (0.092830) +2025-08-26,07:12:04 | INFO | Train Epoch: 14 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.080999 (0.080036) Boundary_loss: 0.012855 (0.012798) Loss: 0.093854 (0.092834) +2025-08-26,07:13:09 | INFO | Train Epoch: 14 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.067798 (0.079985) Boundary_loss: 0.012833 (0.012798) Loss: 0.080631 (0.092782) +2025-08-26,07:14:14 | INFO | Train Epoch: 14 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.10634 (0.080095) Boundary_loss: 0.012797 (0.012798) Loss: 0.11914 (0.092893) +2025-08-26,07:15:19 | INFO | Train Epoch: 14 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.048731 (0.079964) Boundary_loss: 0.012746 (0.012798) Loss: 0.061478 (0.092762) +2025-08-26,07:16:23 | INFO | Train Epoch: 14 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.080056 (0.079964) Boundary_loss: 0.012751 (0.012798) Loss: 0.092807 (0.092762) +2025-08-26,07:17:28 | INFO | Train Epoch: 14 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.062767 (0.079893) Boundary_loss: 0.012835 (0.012798) Loss: 0.075602 (0.092691) +2025-08-26,07:18:33 | INFO | Train Epoch: 14 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.088866 (0.079930) Boundary_loss: 0.012784 (0.012798) Loss: 0.10165 (0.092728) +2025-08-26,07:19:38 | INFO | Train Epoch: 14 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.096443 (0.079998) Boundary_loss: 0.012709 (0.012797) Loss: 0.10915 (0.092795) +2025-08-26,07:20:42 | INFO | Train Epoch: 14 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.071283 (0.079962) Boundary_loss: 0.012728 (0.012797) Loss: 0.084011 (0.092759) +2025-08-26,07:21:47 | INFO | Train Epoch: 14 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.083983 (0.079979) Boundary_loss: 0.012760 (0.012797) Loss: 0.096744 (0.092776) +2025-08-26,07:22:52 | INFO | Train Epoch: 14 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.062200 (0.079907) Boundary_loss: 0.012786 (0.012797) Loss: 0.074986 (0.092703) +2025-08-26,07:23:57 | INFO | Train Epoch: 14 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.10322 (0.080001) Boundary_loss: 0.012875 (0.012797) Loss: 0.11609 (0.092798) +2025-08-26,07:25:02 | INFO | Train Epoch: 14 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.089224 (0.080038) Boundary_loss: 0.012824 (0.012797) Loss: 0.10205 (0.092835) +2025-08-26,07:26:07 | INFO | Train Epoch: 14 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.091026 (0.080082) Boundary_loss: 0.012769 (0.012797) Loss: 0.10380 (0.092879) +2025-08-26,07:27:11 | INFO | Train Epoch: 14 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.077125 (0.080070) Boundary_loss: 0.012813 (0.012797) Loss: 0.089937 (0.092868) +2025-08-26,07:28:16 | INFO | Train Epoch: 14 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.090449 (0.080112) Boundary_loss: 0.012758 (0.012797) Loss: 0.10321 (0.092909) +2025-08-26,07:29:21 | INFO | Train Epoch: 14 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.084678 (0.080130) Boundary_loss: 0.012786 (0.012797) Loss: 0.097464 (0.092927) +2025-08-26,07:30:26 | INFO | Train Epoch: 14 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.075686 (0.080112) Boundary_loss: 0.012802 (0.012797) Loss: 0.088487 (0.092909) +2025-08-26,07:31:31 | INFO | Train Epoch: 14 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.085765 (0.080135) Boundary_loss: 0.012841 (0.012797) Loss: 0.098606 (0.092932) +2025-08-26,07:32:36 | INFO | Train Epoch: 14 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.060936 (0.080059) Boundary_loss: 0.012861 (0.012797) Loss: 0.073797 (0.092857) +2025-08-26,07:33:40 | INFO | Train Epoch: 14 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.077792 (0.080050) Boundary_loss: 0.012854 (0.012798) Loss: 0.090646 (0.092848) +2025-08-26,07:34:45 | INFO | Train Epoch: 14 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.078391 (0.080044) Boundary_loss: 0.012757 (0.012797) Loss: 0.091148 (0.092841) +2025-08-26,07:35:50 | INFO | Train Epoch: 14 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.093751 (0.080097) Boundary_loss: 0.012732 (0.012797) Loss: 0.10648 (0.092894) +2025-08-26,07:36:55 | INFO | Train Epoch: 14 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.086785 (0.080123) Boundary_loss: 0.012723 (0.012797) Loss: 0.099508 (0.092920) +2025-08-26,07:38:00 | INFO | Train Epoch: 14 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.061253 (0.080050) Boundary_loss: 0.012726 (0.012797) Loss: 0.073979 (0.092847) +2025-08-26,07:39:05 | INFO | Train Epoch: 14 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.072519 (0.080021) Boundary_loss: 0.012756 (0.012797) Loss: 0.085275 (0.092818) +2025-08-26,07:40:10 | INFO | Train Epoch: 14 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.066424 (0.079970) Boundary_loss: 0.012698 (0.012796) Loss: 0.079122 (0.092766) +2025-08-26,07:41:14 | INFO | Train Epoch: 14 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.088460 (0.080002) Boundary_loss: 0.012741 (0.012796) Loss: 0.10120 (0.092798) +2025-08-26,07:42:19 | INFO | Train Epoch: 14 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.069619 (0.079963) Boundary_loss: 0.012771 (0.012796) Loss: 0.082391 (0.092758) +2025-08-26,07:43:24 | INFO | Train Epoch: 14 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.090171 (0.080001) Boundary_loss: 0.012738 (0.012796) Loss: 0.10291 (0.092797) +2025-08-26,07:44:29 | INFO | Train Epoch: 14 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.10622 (0.080100) Boundary_loss: 0.012735 (0.012795) Loss: 0.11896 (0.092895) +2025-08-26,07:45:34 | INFO | Train Epoch: 14 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.089477 (0.080135) Boundary_loss: 0.012791 (0.012795) Loss: 0.10227 (0.092930) +2025-08-26,07:46:39 | INFO | Train Epoch: 14 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.11213 (0.080254) Boundary_loss: 0.012731 (0.012795) Loss: 0.12486 (0.093049) +2025-08-26,07:47:44 | INFO | Train Epoch: 14 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.050740 (0.080144) Boundary_loss: 0.012849 (0.012795) Loss: 0.063588 (0.092940) +2025-08-26,07:48:49 | INFO | Train Epoch: 14 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.096834 (0.080206) Boundary_loss: 0.012766 (0.012795) Loss: 0.10960 (0.093001) +2025-08-26,07:49:53 | INFO | Train Epoch: 14 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.073537 (0.080182) Boundary_loss: 0.012755 (0.012795) Loss: 0.086292 (0.092977) +2025-08-26,07:50:58 | INFO | Train Epoch: 14 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.10143 (0.080260) Boundary_loss: 0.012755 (0.012795) Loss: 0.11419 (0.093055) +2025-08-26,07:52:03 | INFO | Train Epoch: 14 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.078141 (0.080252) Boundary_loss: 0.012873 (0.012795) Loss: 0.091014 (0.093047) +2025-08-26,07:53:08 | INFO | Train Epoch: 14 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.058073 (0.080171) Boundary_loss: 0.012782 (0.012795) Loss: 0.070855 (0.092966) +2025-08-26,07:54:13 | INFO | Train Epoch: 14 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.10839 (0.080274) Boundary_loss: 0.012728 (0.012795) Loss: 0.12111 (0.093069) +2025-08-26,07:55:18 | INFO | Train Epoch: 14 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.087209 (0.080299) Boundary_loss: 0.012879 (0.012795) Loss: 0.10009 (0.093094) +2025-08-26,07:56:23 | INFO | Train Epoch: 14 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.098023 (0.080363) Boundary_loss: 0.012784 (0.012795) Loss: 0.11081 (0.093158) +2025-08-26,07:57:28 | INFO | Train Epoch: 14 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.10890 (0.080465) Boundary_loss: 0.012734 (0.012795) Loss: 0.12163 (0.093260) +2025-08-26,07:58:32 | INFO | Train Epoch: 14 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.087277 (0.080490) Boundary_loss: 0.012720 (0.012795) Loss: 0.099998 (0.093285) +2025-08-26,07:59:37 | INFO | Train Epoch: 14 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.081084 (0.080492) Boundary_loss: 0.012745 (0.012795) Loss: 0.093829 (0.093286) +2025-08-26,08:00:42 | INFO | Train Epoch: 14 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.074629 (0.080471) Boundary_loss: 0.012778 (0.012794) Loss: 0.087408 (0.093266) +2025-08-26,08:01:47 | INFO | Train Epoch: 14 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.10592 (0.080561) Boundary_loss: 0.012767 (0.012794) Loss: 0.11868 (0.093356) +2025-08-26,08:02:52 | INFO | Train Epoch: 14 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.064968 (0.080506) Boundary_loss: 0.012833 (0.012795) Loss: 0.077801 (0.093301) +2025-08-26,08:03:57 | INFO | Train Epoch: 14 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.071051 (0.080473) Boundary_loss: 0.012798 (0.012795) Loss: 0.083849 (0.093267) +2025-08-26,08:05:01 | INFO | Train Epoch: 14 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.089651 (0.080505) Boundary_loss: 0.012776 (0.012794) Loss: 0.10243 (0.093300) +2025-08-26,08:06:06 | INFO | Train Epoch: 14 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.067569 (0.080460) Boundary_loss: 0.012702 (0.012794) Loss: 0.080271 (0.093254) +2025-08-26,08:07:11 | INFO | Train Epoch: 14 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.054612 (0.080370) Boundary_loss: 0.012821 (0.012794) Loss: 0.067433 (0.093164) +2025-08-26,08:08:16 | INFO | Train Epoch: 14 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.10139 (0.080443) Boundary_loss: 0.012729 (0.012794) Loss: 0.11412 (0.093237) +2025-08-26,08:09:21 | INFO | Train Epoch: 14 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.085611 (0.080461) Boundary_loss: 0.012806 (0.012794) Loss: 0.098418 (0.093255) +2025-08-26,08:10:26 | INFO | Train Epoch: 14 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.085143 (0.080477) Boundary_loss: 0.012724 (0.012794) Loss: 0.097867 (0.093271) +2025-08-26,08:11:30 | INFO | Train Epoch: 14 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.068575 (0.080436) Boundary_loss: 0.012834 (0.012794) Loss: 0.081410 (0.093230) +2025-08-26,08:12:35 | INFO | Train Epoch: 14 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.075094 (0.080418) Boundary_loss: 0.012816 (0.012794) Loss: 0.087911 (0.093212) +2025-08-26,08:13:40 | INFO | Train Epoch: 14 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.097933 (0.080477) Boundary_loss: 0.012804 (0.012794) Loss: 0.11074 (0.093271) +2025-08-26,08:14:45 | INFO | Train Epoch: 14 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.071238 (0.080446) Boundary_loss: 0.012795 (0.012794) Loss: 0.084033 (0.093240) +2025-08-26,08:15:50 | INFO | Train Epoch: 14 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.081464 (0.080449) Boundary_loss: 0.012848 (0.012794) Loss: 0.094312 (0.093244) +2025-08-26,08:16:55 | INFO | Train Epoch: 14 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.11721 (0.080574) Boundary_loss: 0.012834 (0.012794) Loss: 0.13004 (0.093368) +2025-08-26,08:18:00 | INFO | Train Epoch: 14 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.061934 (0.080511) Boundary_loss: 0.012808 (0.012794) Loss: 0.074743 (0.093305) +2025-08-26,08:19:04 | INFO | Train Epoch: 14 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.083190 (0.080520) Boundary_loss: 0.012743 (0.012794) Loss: 0.095932 (0.093314) +2025-08-26,08:20:09 | INFO | Train Epoch: 14 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.074634 (0.080500) Boundary_loss: 0.012824 (0.012794) Loss: 0.087458 (0.093295) +2025-08-26,08:21:14 | INFO | Train Epoch: 14 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.086580 (0.080520) Boundary_loss: 0.012802 (0.012794) Loss: 0.099382 (0.093315) +2025-08-26,08:22:19 | INFO | Train Epoch: 14 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.070575 (0.080487) Boundary_loss: 0.012691 (0.012794) Loss: 0.083265 (0.093281) +2025-08-26,08:23:24 | INFO | Train Epoch: 14 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.099441 (0.080550) Boundary_loss: 0.012835 (0.012794) Loss: 0.11228 (0.093344) +2025-08-26,08:24:29 | INFO | Train Epoch: 14 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.068500 (0.080510) Boundary_loss: 0.012730 (0.012794) Loss: 0.081230 (0.093304) +2025-08-26,08:25:33 | INFO | Train Epoch: 14 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.067549 (0.080468) Boundary_loss: 0.012822 (0.012794) Loss: 0.080372 (0.093262) +2025-08-26,08:26:38 | INFO | Train Epoch: 14 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.074967 (0.080450) Boundary_loss: 0.012713 (0.012794) Loss: 0.087681 (0.093244) +2025-08-26,08:27:43 | INFO | Train Epoch: 14 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.076404 (0.080437) Boundary_loss: 0.012783 (0.012794) Loss: 0.089187 (0.093230) +2025-08-26,08:28:48 | INFO | Train Epoch: 14 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.056539 (0.080359) Boundary_loss: 0.012769 (0.012794) Loss: 0.069309 (0.093152) +2025-08-26,08:29:53 | INFO | Train Epoch: 14 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.10222 (0.080430) Boundary_loss: 0.012809 (0.012794) Loss: 0.11503 (0.093223) +2025-08-26,08:30:58 | INFO | Train Epoch: 14 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.086957 (0.080451) Boundary_loss: 0.012672 (0.012793) Loss: 0.099630 (0.093244) +2025-08-26,08:32:03 | INFO | Train Epoch: 14 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.078941 (0.080446) Boundary_loss: 0.012829 (0.012793) Loss: 0.091770 (0.093239) +2025-08-26,08:33:07 | INFO | Train Epoch: 14 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.081316 (0.080449) Boundary_loss: 0.012765 (0.012793) Loss: 0.094081 (0.093242) +2025-08-26,08:34:12 | INFO | Train Epoch: 14 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.084562 (0.080462) Boundary_loss: 0.012816 (0.012793) Loss: 0.097378 (0.093255) +2025-08-26,08:35:17 | INFO | Train Epoch: 14 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.066806 (0.080418) Boundary_loss: 0.012813 (0.012793) Loss: 0.079619 (0.093212) +2025-08-26,08:36:22 | INFO | Train Epoch: 14 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.10677 (0.080502) Boundary_loss: 0.012809 (0.012794) Loss: 0.11958 (0.093296) +2025-08-26,08:37:27 | INFO | Train Epoch: 14 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.049830 (0.080405) Boundary_loss: 0.012814 (0.012794) Loss: 0.062644 (0.093198) +2025-08-26,08:38:32 | INFO | Train Epoch: 14 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.062267 (0.080347) Boundary_loss: 0.012767 (0.012794) Loss: 0.075033 (0.093141) +2025-08-26,08:39:37 | INFO | Train Epoch: 14 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.091754 (0.080383) Boundary_loss: 0.012804 (0.012794) Loss: 0.10456 (0.093177) +2025-08-26,08:40:41 | INFO | Train Epoch: 14 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.063124 (0.080329) Boundary_loss: 0.012798 (0.012794) Loss: 0.075922 (0.093123) +2025-08-26,08:41:46 | INFO | Train Epoch: 14 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.078214 (0.080323) Boundary_loss: 0.012802 (0.012794) Loss: 0.091017 (0.093116) +2025-08-26,08:42:51 | INFO | Train Epoch: 14 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.075988 (0.080309) Boundary_loss: 0.012717 (0.012793) Loss: 0.088705 (0.093102) +2025-08-26,08:43:56 | INFO | Train Epoch: 14 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.088339 (0.080334) Boundary_loss: 0.012815 (0.012793) Loss: 0.10115 (0.093127) +2025-08-26,08:45:01 | INFO | Train Epoch: 14 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.084049 (0.080346) Boundary_loss: 0.012794 (0.012793) Loss: 0.096843 (0.093139) +2025-08-26,08:46:06 | INFO | Train Epoch: 14 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.091800 (0.080381) Boundary_loss: 0.012740 (0.012793) Loss: 0.10454 (0.093174) +2025-08-26,08:47:11 | INFO | Train Epoch: 14 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.069910 (0.080349) Boundary_loss: 0.012816 (0.012793) Loss: 0.082726 (0.093142) +2025-08-26,08:48:15 | INFO | Train Epoch: 14 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.10231 (0.080416) Boundary_loss: 0.012791 (0.012793) Loss: 0.11511 (0.093210) +2025-08-26,08:49:20 | INFO | Train Epoch: 14 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.070154 (0.080385) Boundary_loss: 0.012788 (0.012793) Loss: 0.082942 (0.093178) +2025-08-26,08:50:25 | INFO | Train Epoch: 14 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.10452 (0.080459) Boundary_loss: 0.012918 (0.012794) Loss: 0.11743 (0.093252) +2025-08-26,08:51:30 | INFO | Train Epoch: 14 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.10263 (0.080526) Boundary_loss: 0.012700 (0.012793) Loss: 0.11533 (0.093320) +2025-08-26,08:52:35 | INFO | Train Epoch: 14 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.083865 (0.080536) Boundary_loss: 0.012772 (0.012793) Loss: 0.096637 (0.093330) +2025-08-26,08:53:39 | INFO | Train Epoch: 14 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.048062 (0.080438) Boundary_loss: 0.012699 (0.012793) Loss: 0.060761 (0.093231) +2025-08-26,08:54:44 | INFO | Train Epoch: 14 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.078905 (0.080433) Boundary_loss: 0.012796 (0.012793) Loss: 0.091701 (0.093226) +2025-08-26,08:55:49 | INFO | Train Epoch: 14 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.092937 (0.080471) Boundary_loss: 0.012765 (0.012793) Loss: 0.10570 (0.093264) +2025-08-26,08:56:54 | INFO | Train Epoch: 14 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.051631 (0.080384) Boundary_loss: 0.012837 (0.012793) Loss: 0.064468 (0.093177) +2025-08-26,08:57:59 | INFO | Train Epoch: 14 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.062581 (0.080331) Boundary_loss: 0.012802 (0.012793) Loss: 0.075384 (0.093124) +2025-08-26,08:59:04 | INFO | Train Epoch: 14 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.075569 (0.080317) Boundary_loss: 0.012749 (0.012793) Loss: 0.088318 (0.093110) +2025-08-26,09:00:09 | INFO | Train Epoch: 14 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.064413 (0.080269) Boundary_loss: 0.012732 (0.012793) Loss: 0.077145 (0.093062) +2025-08-26,09:01:14 | INFO | Train Epoch: 14 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.086860 (0.080289) Boundary_loss: 0.012785 (0.012793) Loss: 0.099645 (0.093082) +2025-08-26,09:02:18 | INFO | Train Epoch: 14 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.077438 (0.080281) Boundary_loss: 0.012790 (0.012793) Loss: 0.090227 (0.093073) +2025-08-26,09:03:23 | INFO | Train Epoch: 14 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.10116 (0.080342) Boundary_loss: 0.012753 (0.012793) Loss: 0.11391 (0.093135) +2025-08-26,09:04:28 | INFO | Train Epoch: 14 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.10367 (0.080411) Boundary_loss: 0.012827 (0.012793) Loss: 0.11650 (0.093204) +2025-08-26,09:05:33 | INFO | Train Epoch: 14 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.073003 (0.080389) Boundary_loss: 0.012797 (0.012793) Loss: 0.085800 (0.093182) +2025-08-26,09:06:38 | INFO | Train Epoch: 14 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 0.054352 (0.080313) Boundary_loss: 0.012867 (0.012793) Loss: 0.067219 (0.093106) +2025-08-26,09:07:43 | INFO | Train Epoch: 14 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.067598 (0.080276) Boundary_loss: 0.012815 (0.012793) Loss: 0.080413 (0.093069) +2025-08-26,09:08:48 | INFO | Train Epoch: 14 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.053892 (0.080199) Boundary_loss: 0.012763 (0.012793) Loss: 0.066655 (0.092992) +2025-08-26,09:09:53 | INFO | Train Epoch: 14 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.070963 (0.080172) Boundary_loss: 0.012847 (0.012793) Loss: 0.083811 (0.092966) +2025-08-26,09:10:57 | INFO | Train Epoch: 14 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.12194 (0.080293) Boundary_loss: 0.012695 (0.012793) Loss: 0.13463 (0.093086) +2025-08-26,09:12:02 | INFO | Train Epoch: 14 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.059762 (0.080234) Boundary_loss: 0.012773 (0.012793) Loss: 0.072535 (0.093027) +2025-08-26,09:13:07 | INFO | Train Epoch: 14 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.068564 (0.080200) Boundary_loss: 0.012799 (0.012793) Loss: 0.081363 (0.092993) +2025-08-26,09:14:12 | INFO | Train Epoch: 14 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.076299 (0.080189) Boundary_loss: 0.012848 (0.012793) Loss: 0.089148 (0.092982) +2025-08-26,09:15:17 | INFO | Train Epoch: 14 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.062810 (0.080140) Boundary_loss: 0.012789 (0.012793) Loss: 0.075599 (0.092933) +2025-08-26,09:16:22 | INFO | Train Epoch: 14 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.068566 (0.080107) Boundary_loss: 0.012861 (0.012793) Loss: 0.081426 (0.092900) +2025-08-26,09:17:27 | INFO | Train Epoch: 14 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.096168 (0.080152) Boundary_loss: 0.012836 (0.012793) Loss: 0.10900 (0.092946) +2025-08-26,09:18:32 | INFO | Train Epoch: 14 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.10272 (0.080216) Boundary_loss: 0.012865 (0.012793) Loss: 0.11559 (0.093010) +2025-08-26,09:19:36 | INFO | Train Epoch: 14 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.055227 (0.080146) Boundary_loss: 0.012865 (0.012794) Loss: 0.068092 (0.092939) +2025-08-26,09:20:41 | INFO | Train Epoch: 14 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.078719 (0.080142) Boundary_loss: 0.012779 (0.012794) Loss: 0.091499 (0.092935) +2025-08-26,09:21:46 | INFO | Train Epoch: 14 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.10175 (0.080202) Boundary_loss: 0.012753 (0.012794) Loss: 0.11451 (0.092996) +2025-08-26,09:22:51 | INFO | Train Epoch: 14 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.074055 (0.080185) Boundary_loss: 0.012836 (0.012794) Loss: 0.086891 (0.092979) +2025-08-26,09:23:56 | INFO | Train Epoch: 14 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.086058 (0.080201) Boundary_loss: 0.012835 (0.012794) Loss: 0.098892 (0.092995) +2025-08-26,09:25:01 | INFO | Train Epoch: 14 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.087452 (0.080222) Boundary_loss: 0.012798 (0.012794) Loss: 0.10025 (0.093015) +2025-08-26,09:26:06 | INFO | Train Epoch: 14 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.12020 (0.080333) Boundary_loss: 0.012718 (0.012794) Loss: 0.13291 (0.093126) +2025-08-26,09:27:11 | INFO | Train Epoch: 14 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.069527 (0.080303) Boundary_loss: 0.012775 (0.012793) Loss: 0.082302 (0.093096) +2025-08-26,09:28:16 | INFO | Train Epoch: 14 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.10972 (0.080384) Boundary_loss: 0.012761 (0.012793) Loss: 0.12248 (0.093177) +2025-08-26,09:29:20 | INFO | Train Epoch: 14 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.080085 (0.080383) Boundary_loss: 0.012854 (0.012794) Loss: 0.092939 (0.093177) +2025-08-26,09:30:25 | INFO | Train Epoch: 14 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.061872 (0.080332) Boundary_loss: 0.012847 (0.012794) Loss: 0.074719 (0.093126) +2025-08-26,09:31:30 | INFO | Train Epoch: 14 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.059136 (0.080274) Boundary_loss: 0.012691 (0.012793) Loss: 0.071827 (0.093068) +2025-08-26,09:32:35 | INFO | Train Epoch: 14 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.050211 (0.080192) Boundary_loss: 0.012795 (0.012793) Loss: 0.063005 (0.092986) +2025-08-26,09:33:40 | INFO | Train Epoch: 14 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.048693 (0.080106) Boundary_loss: 0.012753 (0.012793) Loss: 0.061446 (0.092900) +2025-08-26,09:34:45 | INFO | Train Epoch: 14 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.087905 (0.080128) Boundary_loss: 0.012801 (0.012793) Loss: 0.10071 (0.092921) +2025-08-26,09:35:50 | INFO | Train Epoch: 14 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 0.090808 (0.080156) Boundary_loss: 0.012740 (0.012793) Loss: 0.10355 (0.092950) +2025-08-26,09:36:54 | INFO | Train Epoch: 14 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.084623 (0.080169) Boundary_loss: 0.012722 (0.012793) Loss: 0.097345 (0.092962) +2025-08-26,09:37:59 | INFO | Train Epoch: 14 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.086344 (0.080185) Boundary_loss: 0.012815 (0.012793) Loss: 0.099159 (0.092978) +2025-08-26,09:39:04 | INFO | Train Epoch: 14 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.077121 (0.080177) Boundary_loss: 0.012858 (0.012793) Loss: 0.089979 (0.092970) +2025-08-26,09:40:09 | INFO | Train Epoch: 14 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.075650 (0.080165) Boundary_loss: 0.012840 (0.012793) Loss: 0.088490 (0.092958) +2025-08-26,09:41:14 | INFO | Train Epoch: 14 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.075945 (0.080154) Boundary_loss: 0.012855 (0.012794) Loss: 0.088800 (0.092947) +2025-08-26,09:42:19 | INFO | Train Epoch: 14 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.067688 (0.080120) Boundary_loss: 0.012841 (0.012794) Loss: 0.080529 (0.092914) +2025-08-26,09:43:24 | INFO | Train Epoch: 14 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.059378 (0.080065) Boundary_loss: 0.012835 (0.012794) Loss: 0.072212 (0.092859) +2025-08-26,09:44:28 | INFO | Train Epoch: 14 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.074549 (0.080050) Boundary_loss: 0.012851 (0.012794) Loss: 0.087399 (0.092844) +2025-08-26,09:45:33 | INFO | Train Epoch: 14 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.059946 (0.079997) Boundary_loss: 0.012838 (0.012794) Loss: 0.072784 (0.092791) +2025-08-26,09:46:38 | INFO | Train Epoch: 14 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.083440 (0.080006) Boundary_loss: 0.012804 (0.012794) Loss: 0.096244 (0.092800) +2025-08-26,09:47:43 | INFO | Train Epoch: 14 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.068056 (0.079975) Boundary_loss: 0.012744 (0.012794) Loss: 0.080800 (0.092769) +2025-08-26,09:48:48 | INFO | Train Epoch: 14 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.062721 (0.079930) Boundary_loss: 0.012826 (0.012794) Loss: 0.075547 (0.092724) +2025-08-26,09:49:53 | INFO | Train Epoch: 14 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.063238 (0.079886) Boundary_loss: 0.012751 (0.012794) Loss: 0.075989 (0.092680) +2025-08-26,09:50:58 | INFO | Train Epoch: 14 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.093982 (0.079923) Boundary_loss: 0.012809 (0.012794) Loss: 0.10679 (0.092717) +2025-08-26,09:52:02 | INFO | Train Epoch: 14 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.060341 (0.079872) Boundary_loss: 0.012848 (0.012794) Loss: 0.073189 (0.092666) +2025-08-26,09:53:07 | INFO | Train Epoch: 14 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.10530 (0.079938) Boundary_loss: 0.012759 (0.012794) Loss: 0.11806 (0.092732) +2025-08-26,09:54:12 | INFO | Train Epoch: 14 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.062543 (0.079893) Boundary_loss: 0.012747 (0.012794) Loss: 0.075290 (0.092687) +2025-08-26,09:55:17 | INFO | Train Epoch: 14 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.064931 (0.079854) Boundary_loss: 0.012783 (0.012794) Loss: 0.077715 (0.092648) +2025-08-26,09:56:22 | INFO | Train Epoch: 14 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.065177 (0.079816) Boundary_loss: 0.012751 (0.012794) Loss: 0.077928 (0.092610) +2025-08-26,09:57:27 | INFO | Train Epoch: 14 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.055891 (0.079755) Boundary_loss: 0.012775 (0.012794) Loss: 0.068666 (0.092548) +2025-08-26,09:58:32 | INFO | Train Epoch: 14 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.096793 (0.079798) Boundary_loss: 0.012756 (0.012794) Loss: 0.10955 (0.092592) +2025-08-26,09:59:36 | INFO | Train Epoch: 14 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.086537 (0.079816) Boundary_loss: 0.012780 (0.012794) Loss: 0.099318 (0.092609) +2025-08-26,10:00:41 | INFO | Train Epoch: 14 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.065860 (0.079780) Boundary_loss: 0.012820 (0.012794) Loss: 0.078681 (0.092574) +2025-08-26,10:01:46 | INFO | Train Epoch: 14 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.085948 (0.079796) Boundary_loss: 0.012824 (0.012794) Loss: 0.098772 (0.092589) +2025-08-26,10:02:51 | INFO | Train Epoch: 14 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.076859 (0.079788) Boundary_loss: 0.012782 (0.012794) Loss: 0.089641 (0.092582) +2025-08-26,10:03:56 | INFO | Train Epoch: 14 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.070822 (0.079766) Boundary_loss: 0.012892 (0.012794) Loss: 0.083714 (0.092560) +2025-08-26,10:05:01 | INFO | Train Epoch: 14 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.086375 (0.079782) Boundary_loss: 0.012725 (0.012794) Loss: 0.099100 (0.092576) +2025-08-26,10:06:06 | INFO | Train Epoch: 14 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.069352 (0.079756) Boundary_loss: 0.012692 (0.012793) Loss: 0.082044 (0.092550) +2025-08-26,10:07:10 | INFO | Train Epoch: 14 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.075189 (0.079745) Boundary_loss: 0.012759 (0.012793) Loss: 0.087948 (0.092538) +2025-08-26,10:08:15 | INFO | Train Epoch: 14 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.094094 (0.079781) Boundary_loss: 0.012781 (0.012793) Loss: 0.10687 (0.092574) +2025-08-26,10:09:20 | INFO | Train Epoch: 14 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.073352 (0.079764) Boundary_loss: 0.012853 (0.012794) Loss: 0.086205 (0.092558) +2025-08-26,10:10:25 | INFO | Train Epoch: 14 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.069949 (0.079740) Boundary_loss: 0.012883 (0.012794) Loss: 0.082832 (0.092534) +2025-08-26,10:11:30 | INFO | Train Epoch: 14 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.065918 (0.079706) Boundary_loss: 0.012723 (0.012794) Loss: 0.078641 (0.092499) +2025-08-26,10:12:35 | INFO | Train Epoch: 14 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.099427 (0.079755) Boundary_loss: 0.012771 (0.012794) Loss: 0.11220 (0.092548) +2025-08-26,10:13:40 | INFO | Train Epoch: 14 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.062048 (0.079711) Boundary_loss: 0.012809 (0.012794) Loss: 0.074857 (0.092504) +2025-08-26,10:14:44 | INFO | Train Epoch: 14 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.088638 (0.079733) Boundary_loss: 0.012766 (0.012793) Loss: 0.10140 (0.092526) +2025-08-26,10:15:49 | INFO | Train Epoch: 14 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.077009 (0.079726) Boundary_loss: 0.012810 (0.012794) Loss: 0.089819 (0.092520) +2025-08-26,10:16:54 | INFO | Train Epoch: 14 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.075111 (0.079715) Boundary_loss: 0.012740 (0.012793) Loss: 0.087851 (0.092508) +2025-08-26,10:17:59 | INFO | Train Epoch: 14 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.096407 (0.079756) Boundary_loss: 0.012787 (0.012793) Loss: 0.10919 (0.092549) +2025-08-26,10:19:04 | INFO | Train Epoch: 14 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.095113 (0.079793) Boundary_loss: 0.012743 (0.012793) Loss: 0.10786 (0.092586) +2025-08-26,10:20:09 | INFO | Train Epoch: 14 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.074143 (0.079779) Boundary_loss: 0.012851 (0.012793) Loss: 0.086994 (0.092573) +2025-08-26,10:21:14 | INFO | Train Epoch: 14 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.083651 (0.079789) Boundary_loss: 0.012775 (0.012793) Loss: 0.096426 (0.092582) +2025-08-26,10:22:18 | INFO | Train Epoch: 14 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.10989 (0.079862) Boundary_loss: 0.012716 (0.012793) Loss: 0.12261 (0.092655) +2025-08-26,10:23:23 | INFO | Train Epoch: 14 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.072516 (0.079844) Boundary_loss: 0.012763 (0.012793) Loss: 0.085279 (0.092637) +2025-08-26,10:24:28 | INFO | Train Epoch: 14 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.13679 (0.079982) Boundary_loss: 0.012755 (0.012793) Loss: 0.14955 (0.092775) +2025-08-26,10:25:33 | INFO | Train Epoch: 14 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.068683 (0.079954) Boundary_loss: 0.012805 (0.012793) Loss: 0.081488 (0.092747) +2025-08-26,10:26:38 | INFO | Train Epoch: 14 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.094021 (0.079988) Boundary_loss: 0.012815 (0.012793) Loss: 0.10684 (0.092781) +2025-08-26,10:27:43 | INFO | Train Epoch: 14 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.070268 (0.079965) Boundary_loss: 0.012761 (0.012793) Loss: 0.083028 (0.092758) +2025-08-26,10:28:48 | INFO | Train Epoch: 14 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.083338 (0.079973) Boundary_loss: 0.012751 (0.012793) Loss: 0.096089 (0.092766) +2025-08-26,10:29:53 | INFO | Train Epoch: 14 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.10103 (0.080023) Boundary_loss: 0.012843 (0.012793) Loss: 0.11387 (0.092816) +2025-08-26,10:30:57 | INFO | Train Epoch: 14 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.071470 (0.080003) Boundary_loss: 0.012797 (0.012793) Loss: 0.084267 (0.092796) +2025-08-26,10:32:02 | INFO | Train Epoch: 14 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.087536 (0.080021) Boundary_loss: 0.012766 (0.012793) Loss: 0.10030 (0.092814) +2025-08-26,10:33:07 | INFO | Train Epoch: 14 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.084778 (0.080032) Boundary_loss: 0.012746 (0.012793) Loss: 0.097524 (0.092825) +2025-08-26,10:34:12 | INFO | Train Epoch: 14 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.084814 (0.080043) Boundary_loss: 0.012849 (0.012793) Loss: 0.097662 (0.092836) +2025-08-26,10:35:16 | INFO | Train Epoch: 14 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.077712 (0.080038) Boundary_loss: 0.012843 (0.012793) Loss: 0.090555 (0.092831) +2025-08-26,10:36:21 | INFO | Train Epoch: 14 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.067081 (0.080007) Boundary_loss: 0.012746 (0.012793) Loss: 0.079827 (0.092800) +2025-08-26,10:37:26 | INFO | Train Epoch: 14 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.095873 (0.080045) Boundary_loss: 0.012817 (0.012793) Loss: 0.10869 (0.092838) +2025-08-26,10:38:31 | INFO | Train Epoch: 14 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.073831 (0.080030) Boundary_loss: 0.012756 (0.012793) Loss: 0.086588 (0.092823) +2025-08-26,10:39:35 | INFO | Train Epoch: 14 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.087815 (0.080048) Boundary_loss: 0.012809 (0.012793) Loss: 0.10062 (0.092841) +2025-08-26,10:40:40 | INFO | Train Epoch: 14 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.074188 (0.080035) Boundary_loss: 0.012858 (0.012793) Loss: 0.087046 (0.092828) +2025-08-26,10:41:45 | INFO | Train Epoch: 14 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.046272 (0.079956) Boundary_loss: 0.012731 (0.012793) Loss: 0.059003 (0.092749) +2025-08-26,10:42:50 | INFO | Train Epoch: 14 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.064044 (0.079919) Boundary_loss: 0.012801 (0.012793) Loss: 0.076845 (0.092712) +2025-08-26,10:43:55 | INFO | Train Epoch: 14 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.074697 (0.079907) Boundary_loss: 0.012737 (0.012793) Loss: 0.087433 (0.092700) +2025-08-26,10:45:00 | INFO | Train Epoch: 14 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.070318 (0.079885) Boundary_loss: 0.012759 (0.012793) Loss: 0.083077 (0.092678) +2025-08-26,10:46:05 | INFO | Train Epoch: 14 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.077630 (0.079880) Boundary_loss: 0.012723 (0.012793) Loss: 0.090354 (0.092672) +2025-08-26,10:47:10 | INFO | Train Epoch: 14 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.097759 (0.079921) Boundary_loss: 0.012827 (0.012793) Loss: 0.11059 (0.092714) +2025-08-26,10:48:14 | INFO | Train Epoch: 14 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.086825 (0.079937) Boundary_loss: 0.012861 (0.012793) Loss: 0.099686 (0.092730) +2025-08-26,10:49:19 | INFO | Train Epoch: 14 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.045957 (0.079859) Boundary_loss: 0.012721 (0.012793) Loss: 0.058678 (0.092652) +2025-08-26,10:50:24 | INFO | Train Epoch: 14 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.064092 (0.079823) Boundary_loss: 0.012777 (0.012793) Loss: 0.076869 (0.092616) +2025-08-26,10:51:29 | INFO | Train Epoch: 14 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.076443 (0.079815) Boundary_loss: 0.012832 (0.012793) Loss: 0.089275 (0.092608) +2025-08-26,10:52:34 | INFO | Train Epoch: 14 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.091313 (0.079841) Boundary_loss: 0.012876 (0.012793) Loss: 0.10419 (0.092634) +2025-08-26,10:53:39 | INFO | Train Epoch: 14 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.053124 (0.079781) Boundary_loss: 0.012822 (0.012793) Loss: 0.065946 (0.092574) +2025-08-26,10:54:44 | INFO | Train Epoch: 14 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.098481 (0.079823) Boundary_loss: 0.012726 (0.012793) Loss: 0.11121 (0.092616) +2025-08-26,10:55:48 | INFO | Train Epoch: 14 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.066786 (0.079794) Boundary_loss: 0.012854 (0.012793) Loss: 0.079640 (0.092587) +2025-08-26,10:56:53 | INFO | Train Epoch: 14 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.080347 (0.079795) Boundary_loss: 0.012810 (0.012793) Loss: 0.093157 (0.092588) +2025-08-26,10:57:58 | INFO | Train Epoch: 14 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.052643 (0.079734) Boundary_loss: 0.012794 (0.012793) Loss: 0.065437 (0.092527) +2025-08-26,10:59:03 | INFO | Train Epoch: 14 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.088159 (0.079753) Boundary_loss: 0.012747 (0.012793) Loss: 0.10091 (0.092546) +2025-08-26,11:00:08 | INFO | Train Epoch: 14 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.073861 (0.079740) Boundary_loss: 0.012793 (0.012793) Loss: 0.086655 (0.092533) +2025-08-26,11:01:13 | INFO | Train Epoch: 14 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.061540 (0.079699) Boundary_loss: 0.012772 (0.012793) Loss: 0.074312 (0.092492) +2025-08-26,11:02:18 | INFO | Train Epoch: 14 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.10345 (0.079752) Boundary_loss: 0.012803 (0.012793) Loss: 0.11625 (0.092545) +2025-08-26,11:03:22 | INFO | Train Epoch: 14 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.11587 (0.079832) Boundary_loss: 0.012859 (0.012793) Loss: 0.12873 (0.092625) +2025-08-26,11:04:27 | INFO | Train Epoch: 14 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.080849 (0.079834) Boundary_loss: 0.012794 (0.012793) Loss: 0.093644 (0.092627) +2025-08-26,11:05:32 | INFO | Train Epoch: 14 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.080921 (0.079837) Boundary_loss: 0.012752 (0.012793) Loss: 0.093673 (0.092630) +2025-08-26,11:06:37 | INFO | Train Epoch: 14 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.053954 (0.079780) Boundary_loss: 0.012845 (0.012793) Loss: 0.066799 (0.092573) +2025-08-26,11:07:42 | INFO | Train Epoch: 14 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.089265 (0.079801) Boundary_loss: 0.012811 (0.012793) Loss: 0.10208 (0.092594) +2025-08-26,11:08:47 | INFO | Train Epoch: 14 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.096583 (0.079837) Boundary_loss: 0.012779 (0.012793) Loss: 0.10936 (0.092631) +2025-08-26,11:09:52 | INFO | Train Epoch: 14 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.063979 (0.079803) Boundary_loss: 0.012775 (0.012793) Loss: 0.076754 (0.092596) +2025-08-26,11:10:57 | INFO | Train Epoch: 14 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.086444 (0.079817) Boundary_loss: 0.012752 (0.012793) Loss: 0.099196 (0.092610) +2025-08-26,11:12:02 | INFO | Train Epoch: 14 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.047396 (0.079746) Boundary_loss: 0.012848 (0.012793) Loss: 0.060243 (0.092539) +2025-08-26,11:13:07 | INFO | Train Epoch: 14 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.080569 (0.079748) Boundary_loss: 0.012839 (0.012793) Loss: 0.093408 (0.092541) +2025-08-26,11:14:12 | INFO | Train Epoch: 14 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.073912 (0.079735) Boundary_loss: 0.012706 (0.012793) Loss: 0.086618 (0.092529) +2025-08-26,11:15:16 | INFO | Train Epoch: 14 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.059761 (0.079692) Boundary_loss: 0.012651 (0.012793) Loss: 0.072412 (0.092485) +2025-08-26,11:16:21 | INFO | Train Epoch: 14 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.075116 (0.079682) Boundary_loss: 0.012857 (0.012793) Loss: 0.087973 (0.092475) +2025-08-26,11:17:26 | INFO | Train Epoch: 14 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.091090 (0.079707) Boundary_loss: 0.012883 (0.012793) Loss: 0.10397 (0.092500) +2025-08-26,11:18:31 | INFO | Train Epoch: 14 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.069167 (0.079684) Boundary_loss: 0.012795 (0.012793) Loss: 0.081961 (0.092477) +2025-08-26,11:19:36 | INFO | Train Epoch: 14 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.098071 (0.079724) Boundary_loss: 0.012713 (0.012793) Loss: 0.11078 (0.092517) +2025-08-26,11:20:41 | INFO | Train Epoch: 14 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.10319 (0.079774) Boundary_loss: 0.012684 (0.012793) Loss: 0.11588 (0.092567) +2025-08-26,11:21:46 | INFO | Train Epoch: 14 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.053657 (0.079718) Boundary_loss: 0.012757 (0.012793) Loss: 0.066414 (0.092511) +2025-08-26,11:22:51 | INFO | Train Epoch: 14 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.064675 (0.079686) Boundary_loss: 0.012735 (0.012792) Loss: 0.077410 (0.092478) +2025-08-26,11:23:56 | INFO | Train Epoch: 14 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.060752 (0.079646) Boundary_loss: 0.012815 (0.012792) Loss: 0.073567 (0.092438) +2025-08-26,11:25:01 | INFO | Train Epoch: 14 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.077312 (0.079641) Boundary_loss: 0.012875 (0.012793) Loss: 0.090187 (0.092433) +2025-08-26,11:26:06 | INFO | Train Epoch: 14 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.068792 (0.079618) Boundary_loss: 0.012782 (0.012793) Loss: 0.081574 (0.092410) +2025-08-26,11:27:10 | INFO | Train Epoch: 14 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.065853 (0.079588) Boundary_loss: 0.012673 (0.012792) Loss: 0.078525 (0.092381) +2025-08-26,11:28:15 | INFO | Train Epoch: 14 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.071139 (0.079571) Boundary_loss: 0.012776 (0.012792) Loss: 0.083914 (0.092363) +2025-08-26,11:29:20 | INFO | Train Epoch: 14 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.076068 (0.079563) Boundary_loss: 0.012731 (0.012792) Loss: 0.088799 (0.092355) +2025-08-26,11:30:25 | INFO | Train Epoch: 14 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.072033 (0.079547) Boundary_loss: 0.012812 (0.012792) Loss: 0.084845 (0.092340) +2025-08-26,11:31:30 | INFO | Train Epoch: 14 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.061200 (0.079509) Boundary_loss: 0.012851 (0.012792) Loss: 0.074052 (0.092301) +2025-08-26,11:32:35 | INFO | Train Epoch: 14 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.067364 (0.079483) Boundary_loss: 0.012730 (0.012792) Loss: 0.080094 (0.092276) +2025-08-26,11:33:40 | INFO | Train Epoch: 14 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.076795 (0.079478) Boundary_loss: 0.012740 (0.012792) Loss: 0.089535 (0.092270) +2025-08-26,11:34:45 | INFO | Train Epoch: 14 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.075198 (0.079469) Boundary_loss: 0.012798 (0.012792) Loss: 0.087996 (0.092261) +2025-08-26,11:35:50 | INFO | Train Epoch: 14 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.071717 (0.079453) Boundary_loss: 0.012899 (0.012792) Loss: 0.084616 (0.092245) +2025-08-26,11:36:55 | INFO | Train Epoch: 14 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.094614 (0.079484) Boundary_loss: 0.012740 (0.012792) Loss: 0.10735 (0.092276) +2025-08-26,11:38:00 | INFO | Train Epoch: 14 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.058563 (0.079441) Boundary_loss: 0.012932 (0.012793) Loss: 0.071495 (0.092233) +2025-08-26,11:39:05 | INFO | Train Epoch: 14 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.095922 (0.079475) Boundary_loss: 0.012755 (0.012792) Loss: 0.10868 (0.092267) +2025-08-26,11:40:10 | INFO | Train Epoch: 14 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.062454 (0.079440) Boundary_loss: 0.012749 (0.012792) Loss: 0.075203 (0.092232) +2025-08-26,11:41:14 | INFO | Train Epoch: 14 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.10208 (0.079486) Boundary_loss: 0.012817 (0.012792) Loss: 0.11490 (0.092279) +2025-08-26,11:42:19 | INFO | Train Epoch: 14 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.069530 (0.079466) Boundary_loss: 0.012881 (0.012793) Loss: 0.082411 (0.092259) +2025-08-26,11:43:24 | INFO | Train Epoch: 14 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.089191 (0.079486) Boundary_loss: 0.012860 (0.012793) Loss: 0.10205 (0.092279) +2025-08-26,11:44:29 | INFO | Train Epoch: 14 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.069106 (0.079465) Boundary_loss: 0.012830 (0.012793) Loss: 0.081936 (0.092257) +2025-08-26,11:45:34 | INFO | Train Epoch: 14 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.086449 (0.079479) Boundary_loss: 0.012882 (0.012793) Loss: 0.099330 (0.092272) +2025-08-26,11:46:39 | INFO | Train Epoch: 14 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.066162 (0.079452) Boundary_loss: 0.012819 (0.012793) Loss: 0.078981 (0.092245) +2025-08-26,11:47:44 | INFO | Train Epoch: 14 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.056808 (0.079406) Boundary_loss: 0.012704 (0.012793) Loss: 0.069512 (0.092199) +2025-08-26,11:48:49 | INFO | Train Epoch: 14 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.048381 (0.079343) Boundary_loss: 0.012849 (0.012793) Loss: 0.061230 (0.092136) +2025-08-26,11:49:53 | INFO | Train Epoch: 14 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.073328 (0.079330) Boundary_loss: 0.012712 (0.012793) Loss: 0.086041 (0.092123) +2025-08-26,11:50:58 | INFO | Train Epoch: 14 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.10151 (0.079375) Boundary_loss: 0.012773 (0.012793) Loss: 0.11428 (0.092168) +2025-08-26,11:52:03 | INFO | Train Epoch: 14 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.087105 (0.079391) Boundary_loss: 0.012789 (0.012793) Loss: 0.099893 (0.092184) +2025-08-26,11:53:08 | INFO | Train Epoch: 14 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.086932 (0.079406) Boundary_loss: 0.012857 (0.012793) Loss: 0.099788 (0.092199) +2025-08-26,11:54:13 | INFO | Train Epoch: 14 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.071898 (0.079391) Boundary_loss: 0.012783 (0.012793) Loss: 0.084681 (0.092184) +2025-08-26,11:55:18 | INFO | Train Epoch: 14 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.082187 (0.079397) Boundary_loss: 0.012832 (0.012793) Loss: 0.095019 (0.092190) +2025-08-26,11:56:23 | INFO | Train Epoch: 14 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.090132 (0.079418) Boundary_loss: 0.012740 (0.012793) Loss: 0.10287 (0.092211) +2025-08-26,11:57:28 | INFO | Train Epoch: 14 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.058038 (0.079375) Boundary_loss: 0.012759 (0.012793) Loss: 0.070797 (0.092168) +2025-08-26,11:58:33 | INFO | Train Epoch: 14 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.10297 (0.079422) Boundary_loss: 0.012768 (0.012793) Loss: 0.11574 (0.092215) +2025-08-26,11:59:37 | INFO | Train Epoch: 14 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.084606 (0.079433) Boundary_loss: 0.012813 (0.012793) Loss: 0.097419 (0.092226) +2025-08-26,12:00:42 | INFO | Train Epoch: 14 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.084397 (0.079443) Boundary_loss: 0.012783 (0.012793) Loss: 0.097180 (0.092235) +2025-08-26,12:01:47 | INFO | Train Epoch: 14 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.071020 (0.079426) Boundary_loss: 0.012803 (0.012793) Loss: 0.083823 (0.092219) +2025-08-26,12:02:52 | INFO | Train Epoch: 14 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.10727 (0.079481) Boundary_loss: 0.012710 (0.012793) Loss: 0.11998 (0.092274) +2025-08-26,12:03:57 | INFO | Train Epoch: 14 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.066108 (0.079455) Boundary_loss: 0.012703 (0.012792) Loss: 0.078811 (0.092247) +2025-08-26,12:05:02 | INFO | Train Epoch: 14 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.071108 (0.079438) Boundary_loss: 0.012801 (0.012792) Loss: 0.083909 (0.092231) +2025-08-26,12:06:07 | INFO | Train Epoch: 14 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.086892 (0.079453) Boundary_loss: 0.012754 (0.012792) Loss: 0.099646 (0.092245) +2025-08-26,12:07:12 | INFO | Train Epoch: 14 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.080354 (0.079455) Boundary_loss: 0.012773 (0.012792) Loss: 0.093127 (0.092247) +2025-08-26,12:08:16 | INFO | Train Epoch: 14 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.088635 (0.079473) Boundary_loss: 0.012724 (0.012792) Loss: 0.10136 (0.092265) +2025-08-26,12:09:21 | INFO | Train Epoch: 14 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.082563 (0.079479) Boundary_loss: 0.012763 (0.012792) Loss: 0.095327 (0.092271) +2025-08-26,12:10:26 | INFO | Train Epoch: 14 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.070130 (0.079460) Boundary_loss: 0.012796 (0.012792) Loss: 0.082925 (0.092253) +2025-08-26,12:11:31 | INFO | Train Epoch: 14 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.074997 (0.079452) Boundary_loss: 0.012829 (0.012792) Loss: 0.087825 (0.092244) +2025-08-26,12:12:36 | INFO | Train Epoch: 14 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.065978 (0.079425) Boundary_loss: 0.012753 (0.012792) Loss: 0.078730 (0.092218) +2025-08-26,12:13:41 | INFO | Train Epoch: 14 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.081074 (0.079429) Boundary_loss: 0.012783 (0.012792) Loss: 0.093857 (0.092221) +2025-08-26,12:14:42 | INFO | Train Epoch: 14 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.098950 (0.079467) Boundary_loss: 0.012831 (0.012792) Loss: 0.11178 (0.092259) +2025-08-26,12:14:42 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-26,12:14:42 | INFO | [Epoch 14] Average Step Time: 0.652s | Average GPU Memory: 37.2 GB +2025-08-26,12:14:42 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-26,12:14:43 | INFO | Starting zero-shot imagenet. +2025-08-26,12:14:43 | INFO | Building zero-shot classifier +2025-08-26,12:14:52 | INFO | Using classifier +2025-08-26,12:15:38 | INFO | Finished zero-shot imagenet. +2025-08-26,12:15:38 | INFO | Eval Epoch: 15 imagenet-zeroshot-val-top1: 0.3187 imagenet-zeroshot-val-top5: 0.5937