diff --git "a/DRIP_10x_16_XL_4_8/out.log" "b/DRIP_10x_16_XL_4_8/out.log" new file mode 100644--- /dev/null +++ "b/DRIP_10x_16_XL_4_8/out.log" @@ -0,0 +1,8062 @@ +2025-08-20,16:14:42 | INFO | Running with a single process. Device cuda. +2025-08-20,16:14:42 | INFO | Loaded ViT-B-16 model config. +2025-08-20,16:14:44 | INFO | Model: +2025-08-20,16:14:44 | 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( + (0-3): 4 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( + (0-7): 8 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) +) +2025-08-20,16:14:44 | INFO | Params: +2025-08-20,16:14:44 | INFO | DTP: True +2025-08-20,16:14:44 | INFO | accum_freq: 1 +2025-08-20,16:14:44 | INFO | aug_cfg: {} +2025-08-20,16:14:44 | INFO | batch_size: 512 +2025-08-20,16:14:44 | INFO | beta1: 0.9 +2025-08-20,16:14:44 | INFO | beta2: 0.98 +2025-08-20,16:14:44 | INFO | cache_dir: None +2025-08-20,16:14:44 | INFO | checkpoint_path: /fs/scratch/PAS2836/yusenpeng_checkpoint/CLIP/2025_08_20-16_14_42-model_ViT-B-16-lr_5e-05-b_512-j_8-p_amp/checkpoints +2025-08-20,16:14:44 | INFO | coca_caption_loss_weight: 2.0 +2025-08-20,16:14:44 | INFO | coca_contrastive_loss_weight: 1.0 +2025-08-20,16:14:44 | INFO | copy_codebase: False +2025-08-20,16:14:44 | INFO | csv_caption_key: title +2025-08-20,16:14:44 | INFO | csv_img_key: filepath +2025-08-20,16:14:44 | INFO | csv_separator: +2025-08-20,16:14:44 | INFO | dataset_resampled: False +2025-08-20,16:14:44 | INFO | dataset_type: webdataset +2025-08-20,16:14:44 | INFO | ddp_static_graph: False +2025-08-20,16:14:44 | INFO | debug: False +2025-08-20,16:14:44 | INFO | delete_previous_checkpoint: False +2025-08-20,16:14:44 | INFO | device: cuda +2025-08-20,16:14:44 | INFO | dist_backend: None +2025-08-20,16:14:44 | INFO | dist_url: None +2025-08-20,16:14:44 | INFO | distill: False +2025-08-20,16:14:44 | INFO | distill_model: None +2025-08-20,16:14:44 | INFO | distill_pretrained: None +2025-08-20,16:14:44 | INFO | distributed: False +2025-08-20,16:14:44 | INFO | epochs: 15 +2025-08-20,16:14:44 | INFO | epochs_cooldown: None +2025-08-20,16:14:44 | INFO | eps: 1e-06 +2025-08-20,16:14:44 | INFO | force_custom_text: False +2025-08-20,16:14:44 | INFO | force_image_size: None +2025-08-20,16:14:44 | INFO | force_patch_dropout: None +2025-08-20,16:14:44 | INFO | force_quick_gelu: False +2025-08-20,16:14:44 | INFO | gather_with_grad: False +2025-08-20,16:14:44 | INFO | grad_checkpointing: False +2025-08-20,16:14:44 | INFO | grad_clip_norm: None +2025-08-20,16:14:44 | INFO | horovod: False +2025-08-20,16:14:44 | INFO | image_interpolation: None +2025-08-20,16:14:44 | INFO | image_mean: None +2025-08-20,16:14:44 | INFO | image_resize_mode: None +2025-08-20,16:14:44 | INFO | image_std: None +2025-08-20,16:14:44 | INFO | imagenet_v2: None +2025-08-20,16:14:44 | INFO | imagenet_val: /fs/scratch/PAS2836/yusenpeng_dataset/val +2025-08-20,16:14:44 | INFO | local_loss: False +2025-08-20,16:14:44 | INFO | local_rank: 0 +2025-08-20,16:14:44 | INFO | lock_image: False +2025-08-20,16:14:44 | INFO | lock_image_freeze_bn_stats: False +2025-08-20,16:14:44 | INFO | lock_image_unlocked_groups: 0 +2025-08-20,16:14:44 | INFO | lock_text: False +2025-08-20,16:14:44 | INFO | lock_text_freeze_layer_norm: False +2025-08-20,16:14:44 | INFO | lock_text_unlocked_layers: 0 +2025-08-20,16:14:44 | INFO | log_every_n_steps: 100 +2025-08-20,16:14:44 | INFO | log_level: 20 +2025-08-20,16:14:44 | INFO | log_local: False +2025-08-20,16:14:44 | INFO | log_path: /fs/scratch/PAS2836/yusenpeng_checkpoint/CLIP/2025_08_20-16_14_42-model_ViT-B-16-lr_5e-05-b_512-j_8-p_amp/out.log +2025-08-20,16:14:44 | INFO | logs: /fs/scratch/PAS2836/yusenpeng_checkpoint/CLIP/ +2025-08-20,16:14:44 | INFO | loss_dist_impl: None +2025-08-20,16:14:44 | INFO | lr: 5e-05 +2025-08-20,16:14:44 | INFO | lr_cooldown_end: 0.0 +2025-08-20,16:14:44 | INFO | lr_cooldown_power: 1.0 +2025-08-20,16:14:44 | INFO | lr_scheduler: cosine +2025-08-20,16:14:44 | INFO | model: ViT-B-16 +2025-08-20,16:14:44 | INFO | momentum: None +2025-08-20,16:14:44 | INFO | name: 2025_08_20-16_14_42-model_ViT-B-16-lr_5e-05-b_512-j_8-p_amp +2025-08-20,16:14:44 | INFO | no_set_device_rank: False +2025-08-20,16:14:44 | INFO | opt: adamw +2025-08-20,16:14:44 | INFO | precision: amp +2025-08-20,16:14:44 | INFO | pretrained: +2025-08-20,16:14:44 | INFO | pretrained_image: False +2025-08-20,16:14:44 | INFO | rank: 0 +2025-08-20,16:14:44 | INFO | remote_sync: None +2025-08-20,16:14:44 | INFO | remote_sync_frequency: 300 +2025-08-20,16:14:44 | INFO | remote_sync_protocol: s3 +2025-08-20,16:14:44 | INFO | report_to: tensorboard +2025-08-20,16:14:44 | INFO | resume: None +2025-08-20,16:14:44 | INFO | save_frequency: 1 +2025-08-20,16:14:44 | INFO | save_most_recent: False +2025-08-20,16:14:44 | INFO | seed: 0 +2025-08-20,16:14:44 | INFO | siglip: False +2025-08-20,16:14:44 | INFO | skip_scheduler: False +2025-08-20,16:14:44 | INFO | tensorboard: True +2025-08-20,16:14:44 | INFO | tensorboard_path: /fs/scratch/PAS2836/yusenpeng_checkpoint/CLIP/2025_08_20-16_14_42-model_ViT-B-16-lr_5e-05-b_512-j_8-p_amp/tensorboard +2025-08-20,16:14:44 | INFO | torchcompile: False +2025-08-20,16:14:44 | INFO | torchscript: False +2025-08-20,16:14:44 | INFO | trace: False +2025-08-20,16:14:44 | INFO | train_data: 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+2025-08-20,16:14:44 | INFO | train_data_upsampling_factors: None +2025-08-20,16:14:44 | INFO | train_num_samples: 26365716 +2025-08-20,16:14:44 | INFO | use_bn_sync: False +2025-08-20,16:14:44 | INFO | use_bnb_linear: None +2025-08-20,16:14:44 | INFO | val_data: None +2025-08-20,16:14:44 | INFO | val_frequency: 1 +2025-08-20,16:14:44 | INFO | val_num_samples: None +2025-08-20,16:14:44 | INFO | wandb: False +2025-08-20,16:14:44 | INFO | wandb_notes: +2025-08-20,16:14:44 | INFO | wandb_project_name: open-clip +2025-08-20,16:14:44 | INFO | warmup: 50 +2025-08-20,16:14:44 | INFO | wd: 0.1 +2025-08-20,16:14:44 | INFO | workers: 8 +2025-08-20,16:14:44 | INFO | world_size: 1 +2025-08-20,16:14:44 | INFO | zeroshot_frequency: 1 +2025-08-20,16:14:44 | 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 +2025-08-20,16:14:44 | INFO | Start epoch 0 +2025-08-20,16:14:51 | INFO | Train Epoch: 0 [ 512/26365952 (0%)] Avg Boundaries (per batch): 93.082 Boundary Ratio: 0.475 Contrastive_loss: 6.2847 (6.2847) Boundary_loss: 0.47454 (0.47454) Loss: 6.7592 (6.7592) +2025-08-20,16:15:56 | INFO | Train Epoch: 0 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 20.508 Boundary Ratio: 0.105 Contrastive_loss: 6.1709 (6.2278) Boundary_loss: 0.014914 (0.24473) Loss: 6.1858 (6.4725) +2025-08-20,16:16:56 | INFO | Train Epoch: 0 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 5.9800 (6.1452) Boundary_loss: 0.014525 (0.16799) Loss: 5.9945 (6.3132) +2025-08-20,16:17:56 | INFO | Train Epoch: 0 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.957 Boundary Ratio: 0.102 Contrastive_loss: 5.8408 (6.0691) Boundary_loss: 0.014876 (0.12971) Loss: 5.8557 (6.1988) +2025-08-20,16:18:56 | INFO | Train Epoch: 0 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 5.8161 (6.0185) Boundary_loss: 0.014756 (0.10672) Loss: 5.8309 (6.1252) +2025-08-20,16:19:56 | INFO | Train Epoch: 0 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 5.5511 (5.9406) Boundary_loss: 0.014632 (0.091373) Loss: 5.5658 (6.0320) +2025-08-20,16:20:56 | INFO | Train Epoch: 0 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.965 Boundary Ratio: 0.102 Contrastive_loss: 5.3615 (5.8579) Boundary_loss: 0.014640 (0.080411) Loss: 5.3762 (5.9383) +2025-08-20,16:21:56 | INFO | Train Epoch: 0 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 20.150 Boundary Ratio: 0.103 Contrastive_loss: 5.3064 (5.7890) Boundary_loss: 0.014778 (0.072207) Loss: 5.3212 (5.8612) +2025-08-20,16:22:56 | INFO | Train Epoch: 0 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 18.760 Boundary Ratio: 0.096 Contrastive_loss: 5.2958 (5.7342) Boundary_loss: 0.014418 (0.065786) Loss: 5.3102 (5.7999) +2025-08-20,16:23:56 | INFO | Train Epoch: 0 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 5.1233 (5.6731) Boundary_loss: 0.014469 (0.060654) Loss: 5.1377 (5.7337) +2025-08-20,16:24:56 | INFO | Train Epoch: 0 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 18.805 Boundary Ratio: 0.096 Contrastive_loss: 5.0804 (5.6192) Boundary_loss: 0.014525 (0.056461) Loss: 5.0949 (5.6757) +2025-08-20,16:25:55 | INFO | Train Epoch: 0 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 5.1568 (5.5807) Boundary_loss: 0.014442 (0.052959) Loss: 5.1713 (5.6336) +2025-08-20,16:26:55 | INFO | Train Epoch: 0 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 5.0653 (5.5410) Boundary_loss: 0.014504 (0.050001) Loss: 5.0798 (5.5910) +2025-08-20,16:27:55 | INFO | Train Epoch: 0 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 20.094 Boundary Ratio: 0.103 Contrastive_loss: 5.0098 (5.5031) Boundary_loss: 0.014681 (0.047478) Loss: 5.0245 (5.5506) +2025-08-20,16:28:55 | INFO | Train Epoch: 0 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.928 Boundary Ratio: 0.102 Contrastive_loss: 4.9030 (5.4631) Boundary_loss: 0.014383 (0.045272) Loss: 4.9174 (5.5083) +2025-08-20,16:29:55 | INFO | Train Epoch: 0 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 20.033 Boundary Ratio: 0.102 Contrastive_loss: 4.8753 (5.4263) Boundary_loss: 0.014623 (0.043356) Loss: 4.8899 (5.4697) +2025-08-20,16:30:55 | INFO | Train Epoch: 0 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 4.8111 (5.3901) Boundary_loss: 0.014568 (0.041663) Loss: 4.8257 (5.4318) +2025-08-20,16:31:55 | INFO | Train Epoch: 0 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 4.8275 (5.3589) Boundary_loss: 0.014398 (0.040148) Loss: 4.8419 (5.3990) +2025-08-20,16:32:55 | INFO | Train Epoch: 0 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 18.881 Boundary Ratio: 0.096 Contrastive_loss: 4.7808 (5.3285) Boundary_loss: 0.014602 (0.038804) Loss: 4.7954 (5.3673) +2025-08-20,16:33:55 | INFO | Train Epoch: 0 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 4.7365 (5.2989) Boundary_loss: 0.014491 (0.037588) Loss: 4.7510 (5.3365) +2025-08-20,16:34:55 | INFO | Train Epoch: 0 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 20.021 Boundary Ratio: 0.102 Contrastive_loss: 4.6967 (5.2702) Boundary_loss: 0.014608 (0.036494) Loss: 4.7113 (5.3067) +2025-08-20,16:35:55 | INFO | Train Epoch: 0 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 4.6578 (5.2424) Boundary_loss: 0.014732 (0.035505) Loss: 4.6726 (5.2779) +2025-08-20,16:36:55 | INFO | Train Epoch: 0 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 4.6296 (5.2157) Boundary_loss: 0.014737 (0.034602) Loss: 4.6443 (5.2503) +2025-08-20,16:37:54 | INFO | Train Epoch: 0 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 4.4342 (5.1831) Boundary_loss: 0.014354 (0.033758) Loss: 4.4485 (5.2169) +2025-08-20,16:38:54 | INFO | Train Epoch: 0 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.670 Boundary Ratio: 0.100 Contrastive_loss: 4.5642 (5.1584) Boundary_loss: 0.014370 (0.032983) Loss: 4.5786 (5.1914) +2025-08-20,16:39:54 | INFO | Train Epoch: 0 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 4.3885 (5.1288) Boundary_loss: 0.014557 (0.032274) Loss: 4.4030 (5.1611) +2025-08-20,16:40:54 | INFO | Train Epoch: 0 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.969 Boundary Ratio: 0.102 Contrastive_loss: 4.5370 (5.1069) Boundary_loss: 0.014699 (0.031623) Loss: 4.5517 (5.1385) +2025-08-20,16:41:54 | INFO | Train Epoch: 0 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 18.688 Boundary Ratio: 0.095 Contrastive_loss: 4.3408 (5.0795) Boundary_loss: 0.014682 (0.031018) Loss: 4.3554 (5.1105) +2025-08-20,16:42:54 | INFO | Train Epoch: 0 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.883 Boundary Ratio: 0.101 Contrastive_loss: 4.4266 (5.0570) Boundary_loss: 0.014762 (0.030457) Loss: 4.4414 (5.0874) +2025-08-20,16:43:54 | INFO | Train Epoch: 0 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 4.2821 (5.0312) Boundary_loss: 0.014725 (0.029933) Loss: 4.2969 (5.0611) +2025-08-20,16:44:54 | INFO | Train Epoch: 0 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.912 Boundary Ratio: 0.102 Contrastive_loss: 4.1639 (5.0032) Boundary_loss: 0.014408 (0.029432) Loss: 4.1783 (5.0326) +2025-08-20,16:45:53 | INFO | Train Epoch: 0 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 18.871 Boundary Ratio: 0.096 Contrastive_loss: 4.2755 (4.9804) Boundary_loss: 0.014496 (0.028965) Loss: 4.2900 (5.0094) +2025-08-20,16:46:53 | INFO | Train Epoch: 0 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 4.1332 (4.9548) Boundary_loss: 0.014552 (0.028529) Loss: 4.1478 (4.9833) +2025-08-20,16:47:53 | INFO | Train Epoch: 0 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 4.1295 (4.9305) Boundary_loss: 0.014315 (0.028111) Loss: 4.1438 (4.9586) +2025-08-20,16:48:53 | INFO | Train Epoch: 0 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 18.912 Boundary Ratio: 0.096 Contrastive_loss: 4.1134 (4.9072) Boundary_loss: 0.014664 (0.027726) Loss: 4.1281 (4.9349) +2025-08-20,16:49:53 | INFO | Train Epoch: 0 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 18.764 Boundary Ratio: 0.096 Contrastive_loss: 4.2486 (4.8889) Boundary_loss: 0.014584 (0.027361) Loss: 4.2632 (4.9162) +2025-08-20,16:50:53 | INFO | Train Epoch: 0 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.787 Boundary Ratio: 0.101 Contrastive_loss: 4.0582 (4.8664) Boundary_loss: 0.014523 (0.027014) Loss: 4.0727 (4.8934) +2025-08-20,16:51:53 | INFO | Train Epoch: 0 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 20.096 Boundary Ratio: 0.103 Contrastive_loss: 4.0592 (4.8452) Boundary_loss: 0.014543 (0.026686) Loss: 4.0737 (4.8719) +2025-08-20,16:52:52 | INFO | Train Epoch: 0 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 20.072 Boundary Ratio: 0.102 Contrastive_loss: 4.0137 (4.8238) Boundary_loss: 0.014319 (0.026369) Loss: 4.0280 (4.8502) +2025-08-20,16:53:52 | INFO | Train Epoch: 0 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 4.0363 (4.8042) Boundary_loss: 0.014276 (0.026067) Loss: 4.0506 (4.8302) +2025-08-20,16:54:52 | INFO | Train Epoch: 0 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 3.9149 (4.7825) Boundary_loss: 0.014637 (0.025788) Loss: 3.9296 (4.8083) +2025-08-20,16:55:52 | INFO | Train Epoch: 0 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.805 Boundary Ratio: 0.101 Contrastive_loss: 3.9845 (4.7635) Boundary_loss: 0.014440 (0.025518) Loss: 3.9989 (4.7890) +2025-08-20,16:56:52 | INFO | Train Epoch: 0 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.764 Boundary Ratio: 0.101 Contrastive_loss: 3.8091 (4.7413) Boundary_loss: 0.014273 (0.025256) Loss: 3.8233 (4.7665) +2025-08-20,16:57:52 | INFO | Train Epoch: 0 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.604 Boundary Ratio: 0.100 Contrastive_loss: 3.7956 (4.7198) Boundary_loss: 0.014542 (0.025013) Loss: 3.8102 (4.7448) +2025-08-20,16:58:51 | INFO | Train Epoch: 0 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 3.7864 (4.6990) Boundary_loss: 0.014188 (0.024772) Loss: 3.8006 (4.7238) +2025-08-20,16:59:51 | INFO | Train Epoch: 0 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 18.938 Boundary Ratio: 0.097 Contrastive_loss: 3.8076 (4.6797) Boundary_loss: 0.014375 (0.024546) Loss: 3.8219 (4.7042) +2025-08-20,17:00:51 | INFO | Train Epoch: 0 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.908 Boundary Ratio: 0.102 Contrastive_loss: 3.9632 (4.6644) Boundary_loss: 0.013944 (0.024321) Loss: 3.9772 (4.6887) +2025-08-20,17:01:51 | INFO | Train Epoch: 0 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 18.697 Boundary Ratio: 0.095 Contrastive_loss: 3.7922 (4.6462) Boundary_loss: 0.014325 (0.024112) Loss: 3.8065 (4.6704) +2025-08-20,17:02:50 | INFO | Train Epoch: 0 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.604 Boundary Ratio: 0.100 Contrastive_loss: 3.7472 (4.6279) Boundary_loss: 0.014370 (0.023914) Loss: 3.7616 (4.6518) +2025-08-20,17:03:50 | INFO | Train Epoch: 0 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 3.8733 (4.6128) Boundary_loss: 0.014021 (0.023716) Loss: 3.8873 (4.6365) +2025-08-20,17:04:50 | INFO | Train Epoch: 0 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 3.8485 (4.5978) Boundary_loss: 0.014277 (0.023531) Loss: 3.8627 (4.6214) +2025-08-20,17:05:50 | INFO | Train Epoch: 0 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 3.8584 (4.5836) Boundary_loss: 0.014164 (0.023351) Loss: 3.8726 (4.6070) +2025-08-20,17:06:49 | INFO | Train Epoch: 0 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.793 Boundary Ratio: 0.101 Contrastive_loss: 3.7239 (4.5674) Boundary_loss: 0.014268 (0.023179) Loss: 3.7382 (4.5906) +2025-08-20,17:07:49 | INFO | Train Epoch: 0 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 3.7275 (4.5518) Boundary_loss: 0.014322 (0.023015) Loss: 3.7419 (4.5748) +2025-08-20,17:08:49 | INFO | Train Epoch: 0 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 18.936 Boundary Ratio: 0.097 Contrastive_loss: 3.7294 (4.5369) Boundary_loss: 0.014356 (0.022858) Loss: 3.7437 (4.5597) +2025-08-20,17:09:48 | INFO | Train Epoch: 0 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 20.068 Boundary Ratio: 0.102 Contrastive_loss: 3.6601 (4.5212) Boundary_loss: 0.014311 (0.022705) Loss: 3.6745 (4.5439) +2025-08-20,17:10:48 | INFO | Train Epoch: 0 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 20.029 Boundary Ratio: 0.102 Contrastive_loss: 3.7653 (4.5080) Boundary_loss: 0.014381 (0.022559) Loss: 3.7797 (4.5305) +2025-08-20,17:11:48 | INFO | Train Epoch: 0 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 3.6316 (4.4928) Boundary_loss: 0.014143 (0.022414) Loss: 3.6457 (4.5153) +2025-08-20,17:12:47 | INFO | Train Epoch: 0 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.781 Boundary Ratio: 0.101 Contrastive_loss: 3.7869 (4.4809) Boundary_loss: 0.014285 (0.022276) Loss: 3.8011 (4.5032) +2025-08-20,17:13:47 | INFO | Train Epoch: 0 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 3.7298 (4.4684) Boundary_loss: 0.014133 (0.022140) Loss: 3.7440 (4.4905) +2025-08-20,17:14:47 | INFO | Train Epoch: 0 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 18.980 Boundary Ratio: 0.097 Contrastive_loss: 3.5765 (4.4537) Boundary_loss: 0.014225 (0.022011) Loss: 3.5907 (4.4758) +2025-08-20,17:15:46 | INFO | Train Epoch: 0 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 3.5441 (4.4391) Boundary_loss: 0.014029 (0.021882) Loss: 3.5582 (4.4610) +2025-08-20,17:16:46 | INFO | Train Epoch: 0 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 3.4911 (4.4240) Boundary_loss: 0.014428 (0.021764) Loss: 3.5056 (4.4458) +2025-08-20,17:17:45 | INFO | Train Epoch: 0 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.701 Boundary Ratio: 0.101 Contrastive_loss: 3.6027 (4.4112) Boundary_loss: 0.014111 (0.021644) Loss: 3.6168 (4.4328) +2025-08-20,17:18:45 | INFO | Train Epoch: 0 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 3.6467 (4.3994) Boundary_loss: 0.014023 (0.021527) Loss: 3.6607 (4.4210) +2025-08-20,17:19:45 | INFO | Train Epoch: 0 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 3.5554 (4.3866) Boundary_loss: 0.014075 (0.021414) Loss: 3.5695 (4.4081) +2025-08-20,17:20:44 | INFO | Train Epoch: 0 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 20.062 Boundary Ratio: 0.102 Contrastive_loss: 3.4246 (4.3723) Boundary_loss: 0.014180 (0.021306) Loss: 3.4388 (4.3936) +2025-08-20,17:21:43 | INFO | Train Epoch: 0 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 20.033 Boundary Ratio: 0.102 Contrastive_loss: 3.5522 (4.3602) Boundary_loss: 0.013929 (0.021197) Loss: 3.5662 (4.3814) +2025-08-20,17:22:43 | INFO | Train Epoch: 0 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 3.6588 (4.3501) Boundary_loss: 0.013887 (0.021091) Loss: 3.6727 (4.3711) +2025-08-20,17:23:43 | INFO | Train Epoch: 0 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 3.5630 (4.3388) Boundary_loss: 0.014009 (0.020990) Loss: 3.5770 (4.3598) +2025-08-20,17:24:42 | INFO | Train Epoch: 0 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 3.4728 (4.3266) Boundary_loss: 0.013946 (0.020891) Loss: 3.4868 (4.3475) +2025-08-20,17:25:42 | INFO | Train Epoch: 0 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.953 Boundary Ratio: 0.102 Contrastive_loss: 3.3488 (4.3130) Boundary_loss: 0.014045 (0.020796) Loss: 3.3628 (4.3338) +2025-08-20,17:26:41 | INFO | Train Epoch: 0 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 3.3076 (4.2993) Boundary_loss: 0.013977 (0.020703) Loss: 3.3216 (4.3200) +2025-08-20,17:27:41 | INFO | Train Epoch: 0 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 3.4158 (4.2873) Boundary_loss: 0.013850 (0.020610) Loss: 3.4296 (4.3079) +2025-08-20,17:28:40 | INFO | Train Epoch: 0 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 20.846 Boundary Ratio: 0.106 Contrastive_loss: 3.3779 (4.2752) Boundary_loss: 0.014212 (0.020525) Loss: 3.3921 (4.2957) +2025-08-20,17:29:40 | INFO | Train Epoch: 0 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 20.371 Boundary Ratio: 0.104 Contrastive_loss: 3.1936 (4.2610) Boundary_loss: 0.014076 (0.020440) Loss: 3.2076 (4.2814) +2025-08-20,17:30:39 | INFO | Train Epoch: 0 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.908 Boundary Ratio: 0.102 Contrastive_loss: 3.3262 (4.2488) Boundary_loss: 0.014055 (0.020357) Loss: 3.3403 (4.2692) +2025-08-20,17:31:39 | INFO | Train Epoch: 0 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.670 Boundary Ratio: 0.100 Contrastive_loss: 3.2643 (4.2362) Boundary_loss: 0.013894 (0.020274) Loss: 3.2782 (4.2565) +2025-08-20,17:32:38 | INFO | Train Epoch: 0 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 18.479 Boundary Ratio: 0.094 Contrastive_loss: 3.2600 (4.2238) Boundary_loss: 0.014097 (0.020196) Loss: 3.2741 (4.2440) +2025-08-20,17:33:38 | INFO | Train Epoch: 0 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 3.3337 (4.2127) Boundary_loss: 0.013936 (0.020118) Loss: 3.3476 (4.2328) +2025-08-20,17:34:37 | INFO | Train Epoch: 0 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.578 Boundary Ratio: 0.100 Contrastive_loss: 3.3943 (4.2026) Boundary_loss: 0.013933 (0.020041) Loss: 3.4082 (4.2227) +2025-08-20,17:35:37 | INFO | Train Epoch: 0 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 3.3622 (4.1924) Boundary_loss: 0.014021 (0.019968) Loss: 3.3762 (4.2123) +2025-08-20,17:36:36 | INFO | Train Epoch: 0 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 18.771 Boundary Ratio: 0.096 Contrastive_loss: 3.3096 (4.1817) Boundary_loss: 0.014087 (0.019897) Loss: 3.3237 (4.2016) +2025-08-20,17:37:36 | INFO | Train Epoch: 0 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 3.2155 (4.1702) Boundary_loss: 0.013956 (0.019826) Loss: 3.2295 (4.1901) +2025-08-20,17:38:35 | INFO | Train Epoch: 0 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.637 Boundary Ratio: 0.100 Contrastive_loss: 3.2528 (4.1594) Boundary_loss: 0.013932 (0.019757) Loss: 3.2667 (4.1792) +2025-08-20,17:39:35 | INFO | Train Epoch: 0 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 3.1533 (4.1477) Boundary_loss: 0.014000 (0.019690) Loss: 3.1673 (4.1674) +2025-08-20,17:40:34 | INFO | Train Epoch: 0 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 3.2690 (4.1376) Boundary_loss: 0.014008 (0.019625) Loss: 3.2830 (4.1573) +2025-08-20,17:41:34 | INFO | Train Epoch: 0 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 20.365 Boundary Ratio: 0.104 Contrastive_loss: 3.1815 (4.1268) Boundary_loss: 0.013949 (0.019560) Loss: 3.1955 (4.1463) +2025-08-20,17:42:33 | INFO | Train Epoch: 0 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 3.2412 (4.1168) Boundary_loss: 0.013944 (0.019497) Loss: 3.2551 (4.1363) +2025-08-20,17:43:33 | INFO | Train Epoch: 0 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 3.2189 (4.1068) Boundary_loss: 0.013949 (0.019435) Loss: 3.2329 (4.1263) +2025-08-20,17:44:32 | INFO | Train Epoch: 0 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 18.588 Boundary Ratio: 0.095 Contrastive_loss: 3.0764 (4.0955) Boundary_loss: 0.013893 (0.019375) Loss: 3.0903 (4.1149) +2025-08-20,17:45:31 | INFO | Train Epoch: 0 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 3.1810 (4.0856) Boundary_loss: 0.013875 (0.019315) Loss: 3.1949 (4.1049) +2025-08-20,17:46:31 | INFO | Train Epoch: 0 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 2.9762 (4.0737) Boundary_loss: 0.013904 (0.019257) Loss: 2.9901 (4.0929) +2025-08-20,17:47:30 | INFO | Train Epoch: 0 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 3.1326 (4.0636) Boundary_loss: 0.013902 (0.019200) Loss: 3.1465 (4.0828) +2025-08-20,17:48:30 | INFO | Train Epoch: 0 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 3.0855 (4.0533) Boundary_loss: 0.013893 (0.019144) Loss: 3.0994 (4.0725) +2025-08-20,17:49:29 | INFO | Train Epoch: 0 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 3.0835 (4.0432) Boundary_loss: 0.013916 (0.019089) Loss: 3.0974 (4.0623) +2025-08-20,17:50:29 | INFO | Train Epoch: 0 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.588 Boundary Ratio: 0.100 Contrastive_loss: 3.0857 (4.0334) Boundary_loss: 0.013776 (0.019035) Loss: 3.0995 (4.0524) +2025-08-20,17:51:28 | INFO | Train Epoch: 0 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.736 Boundary Ratio: 0.101 Contrastive_loss: 3.0668 (4.0235) Boundary_loss: 0.013836 (0.018981) Loss: 3.0806 (4.0425) +2025-08-20,17:52:28 | INFO | Train Epoch: 0 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 3.1495 (4.0147) Boundary_loss: 0.014146 (0.018933) Loss: 3.1636 (4.0336) +2025-08-20,17:53:27 | INFO | Train Epoch: 0 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 2.9100 (4.0036) Boundary_loss: 0.013947 (0.018883) Loss: 2.9239 (4.0225) +2025-08-20,17:54:27 | INFO | Train Epoch: 0 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.957 Boundary Ratio: 0.102 Contrastive_loss: 3.0701 (3.9944) Boundary_loss: 0.013974 (0.018834) Loss: 3.0840 (4.0132) +2025-08-20,17:55:26 | INFO | Train Epoch: 0 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 2.9231 (3.9839) Boundary_loss: 0.013822 (0.018785) Loss: 2.9369 (4.0027) +2025-08-20,17:56:25 | INFO | Train Epoch: 0 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 3.0346 (3.9747) Boundary_loss: 0.013852 (0.018737) Loss: 3.0484 (3.9934) +2025-08-20,17:57:25 | INFO | Train Epoch: 0 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 2.9289 (3.9646) Boundary_loss: 0.013955 (0.018691) Loss: 2.9428 (3.9833) +2025-08-20,17:58:24 | INFO | Train Epoch: 0 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 2.9238 (3.9547) Boundary_loss: 0.013858 (0.018645) Loss: 2.9376 (3.9733) +2025-08-20,17:59:23 | INFO | Train Epoch: 0 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 2.8685 (3.9445) Boundary_loss: 0.013818 (0.018600) Loss: 2.8823 (3.9631) +2025-08-20,18:00:23 | INFO | Train Epoch: 0 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 2.8254 (3.9340) Boundary_loss: 0.013714 (0.018554) Loss: 2.8391 (3.9525) +2025-08-20,18:01:22 | INFO | Train Epoch: 0 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.723 Boundary Ratio: 0.101 Contrastive_loss: 2.9287 (3.9247) Boundary_loss: 0.013970 (0.018511) Loss: 2.9427 (3.9432) +2025-08-20,18:02:22 | INFO | Train Epoch: 0 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 18.527 Boundary Ratio: 0.095 Contrastive_loss: 3.0334 (3.9165) Boundary_loss: 0.013811 (0.018468) Loss: 3.0473 (3.9350) +2025-08-20,18:03:21 | INFO | Train Epoch: 0 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 2.8735 (3.9070) Boundary_loss: 0.013741 (0.018425) Loss: 2.8872 (3.9255) +2025-08-20,18:04:20 | INFO | Train Epoch: 0 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 2.9395 (3.8983) Boundary_loss: 0.013728 (0.018383) Loss: 2.9532 (3.9167) +2025-08-20,18:05:20 | INFO | Train Epoch: 0 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.820 Boundary Ratio: 0.101 Contrastive_loss: 3.0096 (3.8904) Boundary_loss: 0.013884 (0.018343) Loss: 3.0235 (3.9087) +2025-08-20,18:06:19 | INFO | Train Epoch: 0 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 2.9253 (3.8818) Boundary_loss: 0.013841 (0.018303) Loss: 2.9391 (3.9001) +2025-08-20,18:07:18 | INFO | Train Epoch: 0 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 2.9727 (3.8739) Boundary_loss: 0.013883 (0.018264) Loss: 2.9865 (3.8921) +2025-08-20,18:08:18 | INFO | Train Epoch: 0 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 2.8947 (3.8653) Boundary_loss: 0.013731 (0.018225) Loss: 2.9085 (3.8836) +2025-08-20,18:09:17 | INFO | Train Epoch: 0 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.699 Boundary Ratio: 0.101 Contrastive_loss: 2.9653 (3.8576) Boundary_loss: 0.013643 (0.018185) Loss: 2.9790 (3.8758) +2025-08-20,18:10:16 | INFO | Train Epoch: 0 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 2.9747 (3.8500) Boundary_loss: 0.013929 (0.018149) Loss: 2.9886 (3.8682) +2025-08-20,18:11:16 | INFO | Train Epoch: 0 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 2.9351 (3.8423) Boundary_loss: 0.013916 (0.018113) Loss: 2.9490 (3.8604) +2025-08-20,18:12:15 | INFO | Train Epoch: 0 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 2.8624 (3.8341) Boundary_loss: 0.013791 (0.018077) Loss: 2.8761 (3.8521) +2025-08-20,18:13:15 | INFO | Train Epoch: 0 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 2.7081 (3.8247) Boundary_loss: 0.013644 (0.018040) Loss: 2.7217 (3.8427) +2025-08-20,18:14:14 | INFO | Train Epoch: 0 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 2.8572 (3.8167) Boundary_loss: 0.013717 (0.018004) Loss: 2.8709 (3.8347) +2025-08-20,18:15:13 | INFO | Train Epoch: 0 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 2.9106 (3.8092) Boundary_loss: 0.013834 (0.017970) Loss: 2.9244 (3.8272) +2025-08-20,18:16:12 | INFO | Train Epoch: 0 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.686 Boundary Ratio: 0.100 Contrastive_loss: 2.7370 (3.8005) Boundary_loss: 0.013967 (0.017937) Loss: 2.7510 (3.8185) +2025-08-20,18:17:12 | INFO | Train Epoch: 0 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 2.8138 (3.7926) Boundary_loss: 0.013788 (0.017904) Loss: 2.8276 (3.8105) +2025-08-20,18:18:11 | INFO | Train Epoch: 0 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 2.9503 (3.7858) Boundary_loss: 0.013924 (0.017872) Loss: 2.9643 (3.8037) +2025-08-20,18:19:10 | INFO | Train Epoch: 0 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 2.7121 (3.7773) Boundary_loss: 0.013696 (0.017839) Loss: 2.7258 (3.7952) +2025-08-20,18:20:10 | INFO | Train Epoch: 0 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 18.883 Boundary Ratio: 0.096 Contrastive_loss: 2.7902 (3.7695) Boundary_loss: 0.013793 (0.017807) Loss: 2.8040 (3.7873) +2025-08-20,18:21:09 | INFO | Train Epoch: 0 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 2.7755 (3.7618) Boundary_loss: 0.013689 (0.017775) Loss: 2.7891 (3.7795) +2025-08-20,18:22:08 | INFO | Train Epoch: 0 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 2.7574 (3.7540) Boundary_loss: 0.013747 (0.017744) Loss: 2.7711 (3.7717) +2025-08-20,18:23:08 | INFO | Train Epoch: 0 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 18.596 Boundary Ratio: 0.095 Contrastive_loss: 2.7211 (3.7460) Boundary_loss: 0.013978 (0.017715) Loss: 2.7351 (3.7638) +2025-08-20,18:24:07 | INFO | Train Epoch: 0 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 2.7877 (3.7387) Boundary_loss: 0.013862 (0.017685) Loss: 2.8016 (3.7564) +2025-08-20,18:25:06 | INFO | Train Epoch: 0 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 2.6625 (3.7306) Boundary_loss: 0.013701 (0.017655) Loss: 2.6762 (3.7482) +2025-08-20,18:26:06 | INFO | Train Epoch: 0 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 2.7439 (3.7232) Boundary_loss: 0.013763 (0.017626) Loss: 2.7577 (3.7408) +2025-08-20,18:27:05 | INFO | Train Epoch: 0 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 2.6964 (3.7155) Boundary_loss: 0.013509 (0.017595) Loss: 2.7099 (3.7331) +2025-08-20,18:28:04 | INFO | Train Epoch: 0 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.715 Boundary Ratio: 0.101 Contrastive_loss: 2.6887 (3.7079) Boundary_loss: 0.013633 (0.017566) Loss: 2.7023 (3.7255) +2025-08-20,18:29:04 | INFO | Train Epoch: 0 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.689 Boundary Ratio: 0.100 Contrastive_loss: 2.6562 (3.7002) Boundary_loss: 0.013621 (0.017537) Loss: 2.6698 (3.7177) +2025-08-20,18:30:03 | INFO | Train Epoch: 0 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 18.447 Boundary Ratio: 0.094 Contrastive_loss: 2.9439 (3.6946) Boundary_loss: 0.013830 (0.017510) Loss: 2.9577 (3.7121) +2025-08-20,18:31:02 | INFO | Train Epoch: 0 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.701 Boundary Ratio: 0.101 Contrastive_loss: 2.8247 (3.6883) Boundary_loss: 0.013600 (0.017481) Loss: 2.8383 (3.7058) +2025-08-20,18:32:02 | INFO | Train Epoch: 0 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 2.5829 (3.6804) Boundary_loss: 0.013708 (0.017454) Loss: 2.5966 (3.6978) +2025-08-20,18:33:01 | INFO | Train Epoch: 0 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 18.820 Boundary Ratio: 0.096 Contrastive_loss: 2.8339 (3.6743) Boundary_loss: 0.013840 (0.017428) Loss: 2.8477 (3.6918) +2025-08-20,18:34:00 | INFO | Train Epoch: 0 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 2.7190 (3.6676) Boundary_loss: 0.013730 (0.017402) Loss: 2.7327 (3.6850) +2025-08-20,18:35:00 | INFO | Train Epoch: 0 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 2.7293 (3.6609) Boundary_loss: 0.013745 (0.017376) Loss: 2.7430 (3.6783) +2025-08-20,18:35:59 | INFO | Train Epoch: 0 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 2.6580 (3.6539) Boundary_loss: 0.013491 (0.017349) Loss: 2.6714 (3.6713) +2025-08-20,18:36:58 | INFO | Train Epoch: 0 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 2.7032 (3.6473) Boundary_loss: 0.013721 (0.017324) Loss: 2.7169 (3.6647) +2025-08-20,18:37:58 | INFO | Train Epoch: 0 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.820 Boundary Ratio: 0.101 Contrastive_loss: 2.8071 (3.6415) Boundary_loss: 0.013682 (0.017299) Loss: 2.8208 (3.6588) +2025-08-20,18:38:57 | INFO | Train Epoch: 0 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 2.7760 (3.6356) Boundary_loss: 0.013640 (0.017274) Loss: 2.7896 (3.6529) +2025-08-20,18:39:56 | INFO | Train Epoch: 0 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.711 Boundary Ratio: 0.101 Contrastive_loss: 2.4798 (3.6277) Boundary_loss: 0.013760 (0.017250) Loss: 2.4935 (3.6450) +2025-08-20,18:40:56 | INFO | Train Epoch: 0 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 18.693 Boundary Ratio: 0.095 Contrastive_loss: 2.6708 (3.6213) Boundary_loss: 0.013687 (0.017226) Loss: 2.6845 (3.6385) +2025-08-20,18:41:55 | INFO | Train Epoch: 0 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 2.4102 (3.6132) Boundary_loss: 0.013674 (0.017202) Loss: 2.4239 (3.6304) +2025-08-20,18:42:54 | INFO | Train Epoch: 0 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 2.7912 (3.6077) Boundary_loss: 0.013673 (0.017179) Loss: 2.8049 (3.6249) +2025-08-20,18:43:54 | INFO | Train Epoch: 0 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 2.7252 (3.6018) Boundary_loss: 0.013593 (0.017155) Loss: 2.7388 (3.6190) +2025-08-20,18:44:53 | INFO | Train Epoch: 0 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.893 Boundary Ratio: 0.101 Contrastive_loss: 2.5038 (3.5946) Boundary_loss: 0.013766 (0.017133) Loss: 2.5176 (3.6117) +2025-08-20,18:45:52 | INFO | Train Epoch: 0 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 20.064 Boundary Ratio: 0.102 Contrastive_loss: 2.7334 (3.5890) Boundary_loss: 0.013749 (0.017110) Loss: 2.7472 (3.6061) +2025-08-20,18:46:52 | INFO | Train Epoch: 0 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 2.6033 (3.5826) Boundary_loss: 0.013606 (0.017088) Loss: 2.6169 (3.5997) +2025-08-20,18:47:51 | INFO | Train Epoch: 0 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 2.6860 (3.5768) Boundary_loss: 0.013675 (0.017066) Loss: 2.6997 (3.5939) +2025-08-20,18:48:50 | INFO | Train Epoch: 0 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.652 Boundary Ratio: 0.100 Contrastive_loss: 2.6535 (3.5709) Boundary_loss: 0.013569 (0.017043) Loss: 2.6670 (3.5879) +2025-08-20,18:49:50 | INFO | Train Epoch: 0 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 2.6560 (3.5650) Boundary_loss: 0.013595 (0.017021) Loss: 2.6696 (3.5821) +2025-08-20,18:50:49 | INFO | Train Epoch: 0 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 2.5647 (3.5587) Boundary_loss: 0.013669 (0.017000) Loss: 2.5784 (3.5757) +2025-08-20,18:51:48 | INFO | Train Epoch: 0 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 2.5376 (3.5523) Boundary_loss: 0.013716 (0.016979) Loss: 2.5513 (3.5693) +2025-08-20,18:52:47 | INFO | Train Epoch: 0 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.682 Boundary Ratio: 0.100 Contrastive_loss: 2.6844 (3.5469) Boundary_loss: 0.013754 (0.016959) Loss: 2.6981 (3.5638) +2025-08-20,18:53:46 | INFO | Train Epoch: 0 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 2.5587 (3.5407) Boundary_loss: 0.013522 (0.016938) Loss: 2.5722 (3.5577) +2025-08-20,18:54:46 | INFO | Train Epoch: 0 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 2.6274 (3.5351) Boundary_loss: 0.013480 (0.016917) Loss: 2.6409 (3.5520) +2025-08-20,18:55:45 | INFO | Train Epoch: 0 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 2.5170 (3.5288) Boundary_loss: 0.013502 (0.016896) Loss: 2.5305 (3.5457) +2025-08-20,18:56:44 | INFO | Train Epoch: 0 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 2.4879 (3.5225) Boundary_loss: 0.013660 (0.016876) Loss: 2.5016 (3.5394) +2025-08-20,18:57:43 | INFO | Train Epoch: 0 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 2.6766 (3.5174) Boundary_loss: 0.013609 (0.016856) Loss: 2.6902 (3.5342) +2025-08-20,18:58:42 | INFO | Train Epoch: 0 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.980 Boundary Ratio: 0.102 Contrastive_loss: 2.5155 (3.5113) Boundary_loss: 0.013681 (0.016837) Loss: 2.5292 (3.5282) +2025-08-20,18:59:42 | INFO | Train Epoch: 0 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 20.354 Boundary Ratio: 0.104 Contrastive_loss: 2.5178 (3.5054) Boundary_loss: 0.013815 (0.016819) Loss: 2.5316 (3.5222) +2025-08-20,19:00:41 | INFO | Train Epoch: 0 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 2.4485 (3.4991) Boundary_loss: 0.013829 (0.016801) Loss: 2.4623 (3.5159) +2025-08-20,19:01:40 | INFO | Train Epoch: 0 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 18.527 Boundary Ratio: 0.095 Contrastive_loss: 2.3753 (3.4924) Boundary_loss: 0.013772 (0.016783) Loss: 2.3891 (3.5092) +2025-08-20,19:02:39 | INFO | Train Epoch: 0 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 2.4636 (3.4864) Boundary_loss: 0.013659 (0.016765) Loss: 2.4772 (3.5032) +2025-08-20,19:03:39 | INFO | Train Epoch: 0 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 2.4064 (3.4801) Boundary_loss: 0.013530 (0.016746) Loss: 2.4200 (3.4968) +2025-08-20,19:04:38 | INFO | Train Epoch: 0 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 2.3669 (3.4736) Boundary_loss: 0.013705 (0.016728) Loss: 2.3806 (3.4903) +2025-08-20,19:05:37 | INFO | Train Epoch: 0 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 2.3786 (3.4673) Boundary_loss: 0.013721 (0.016711) Loss: 2.3923 (3.4840) +2025-08-20,19:06:36 | INFO | Train Epoch: 0 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 2.7019 (3.4629) Boundary_loss: 0.013758 (0.016694) Loss: 2.7157 (3.4796) +2025-08-20,19:07:36 | INFO | Train Epoch: 0 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 18.840 Boundary Ratio: 0.096 Contrastive_loss: 2.4815 (3.4573) Boundary_loss: 0.013675 (0.016677) Loss: 2.4952 (3.4739) +2025-08-20,19:08:35 | INFO | Train Epoch: 0 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.891 Boundary Ratio: 0.101 Contrastive_loss: 2.4975 (3.4518) Boundary_loss: 0.013851 (0.016660) Loss: 2.5114 (3.4685) +2025-08-20,19:09:34 | INFO | Train Epoch: 0 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 2.3445 (3.4456) Boundary_loss: 0.013737 (0.016644) Loss: 2.3583 (3.4622) +2025-08-20,19:10:33 | INFO | Train Epoch: 0 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 2.4164 (3.4398) Boundary_loss: 0.013629 (0.016627) Loss: 2.4300 (3.4564) +2025-08-20,19:11:32 | INFO | Train Epoch: 0 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.771 Boundary Ratio: 0.101 Contrastive_loss: 2.4670 (3.4343) Boundary_loss: 0.013735 (0.016611) Loss: 2.4807 (3.4510) +2025-08-20,19:12:32 | INFO | Train Epoch: 0 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 2.4287 (3.4288) Boundary_loss: 0.013707 (0.016595) Loss: 2.4424 (3.4454) +2025-08-20,19:13:31 | INFO | Train Epoch: 0 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 2.4445 (3.4233) Boundary_loss: 0.013735 (0.016579) Loss: 2.4582 (3.4399) +2025-08-20,19:14:30 | INFO | Train Epoch: 0 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 18.934 Boundary Ratio: 0.097 Contrastive_loss: 2.4086 (3.4177) Boundary_loss: 0.013761 (0.016563) Loss: 2.4224 (3.4343) +2025-08-20,19:15:29 | INFO | Train Epoch: 0 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 18.697 Boundary Ratio: 0.095 Contrastive_loss: 2.5611 (3.4131) Boundary_loss: 0.013598 (0.016547) Loss: 2.5747 (3.4296) +2025-08-20,19:16:28 | INFO | Train Epoch: 0 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 2.3705 (3.4074) Boundary_loss: 0.013398 (0.016530) Loss: 2.3839 (3.4239) +2025-08-20,19:17:28 | INFO | Train Epoch: 0 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 2.6540 (3.4033) Boundary_loss: 0.013619 (0.016514) Loss: 2.6676 (3.4198) +2025-08-20,19:18:27 | INFO | Train Epoch: 0 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 2.6146 (3.3991) Boundary_loss: 0.013551 (0.016498) Loss: 2.6282 (3.4156) +2025-08-20,19:19:26 | INFO | Train Epoch: 0 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 2.4576 (3.3941) Boundary_loss: 0.013539 (0.016483) Loss: 2.4711 (3.4105) +2025-08-20,19:20:25 | INFO | Train Epoch: 0 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 2.4217 (3.3889) Boundary_loss: 0.013681 (0.016468) Loss: 2.4354 (3.4053) +2025-08-20,19:21:25 | INFO | Train Epoch: 0 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 2.3808 (3.3835) Boundary_loss: 0.013464 (0.016452) Loss: 2.3943 (3.4000) +2025-08-20,19:22:24 | INFO | Train Epoch: 0 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 18.449 Boundary Ratio: 0.094 Contrastive_loss: 2.3607 (3.3782) Boundary_loss: 0.013671 (0.016437) Loss: 2.3744 (3.3946) +2025-08-20,19:23:23 | INFO | Train Epoch: 0 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 2.1882 (3.3719) Boundary_loss: 0.013715 (0.016423) Loss: 2.2020 (3.3884) +2025-08-20,19:24:22 | INFO | Train Epoch: 0 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 20.010 Boundary Ratio: 0.102 Contrastive_loss: 2.4974 (3.3674) Boundary_loss: 0.013656 (0.016409) Loss: 2.5110 (3.3838) +2025-08-20,19:25:21 | INFO | Train Epoch: 0 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 18.436 Boundary Ratio: 0.094 Contrastive_loss: 2.5106 (3.3629) Boundary_loss: 0.013588 (0.016394) Loss: 2.5242 (3.3793) +2025-08-20,19:26:21 | INFO | Train Epoch: 0 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.982 Boundary Ratio: 0.102 Contrastive_loss: 2.4189 (3.3581) Boundary_loss: 0.013985 (0.016382) Loss: 2.4329 (3.3745) +2025-08-20,19:27:20 | INFO | Train Epoch: 0 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 2.3953 (3.3531) Boundary_loss: 0.013671 (0.016368) Loss: 2.4090 (3.3695) +2025-08-20,19:28:19 | INFO | Train Epoch: 0 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 2.3177 (3.3479) Boundary_loss: 0.013520 (0.016353) Loss: 2.3312 (3.3642) +2025-08-20,19:29:18 | INFO | Train Epoch: 0 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 2.3849 (3.3430) Boundary_loss: 0.013595 (0.016339) Loss: 2.3985 (3.3593) +2025-08-20,19:30:18 | INFO | Train Epoch: 0 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 2.1774 (3.3371) Boundary_loss: 0.013814 (0.016326) Loss: 2.1912 (3.3534) +2025-08-20,19:31:17 | INFO | Train Epoch: 0 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.650 Boundary Ratio: 0.100 Contrastive_loss: 2.3748 (3.3322) Boundary_loss: 0.013453 (0.016312) Loss: 2.3882 (3.3486) +2025-08-20,19:32:16 | INFO | Train Epoch: 0 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 2.2744 (3.3270) Boundary_loss: 0.013573 (0.016298) Loss: 2.2879 (3.3432) +2025-08-20,19:33:15 | INFO | Train Epoch: 0 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 2.4760 (3.3227) Boundary_loss: 0.013493 (0.016284) Loss: 2.4895 (3.3390) +2025-08-20,19:34:14 | INFO | Train Epoch: 0 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 2.2992 (3.3177) Boundary_loss: 0.013577 (0.016271) Loss: 2.3128 (3.3339) +2025-08-20,19:35:14 | INFO | Train Epoch: 0 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 2.4991 (3.3136) Boundary_loss: 0.013658 (0.016258) Loss: 2.5128 (3.3299) +2025-08-20,19:36:13 | INFO | Train Epoch: 0 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 2.3117 (3.3087) Boundary_loss: 0.013635 (0.016245) Loss: 2.3253 (3.3250) +2025-08-20,19:37:12 | INFO | Train Epoch: 0 [10445312/26365952 (40%)] Avg Boundaries (per batch): 20.266 Boundary Ratio: 0.103 Contrastive_loss: 2.2180 (3.3034) Boundary_loss: 0.013852 (0.016233) Loss: 2.2319 (3.3196) +2025-08-20,19:38:11 | INFO | Train Epoch: 0 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 2.0353 (3.2972) Boundary_loss: 0.013499 (0.016220) Loss: 2.0488 (3.3135) +2025-08-20,19:39:10 | INFO | Train Epoch: 0 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 2.3848 (3.2928) Boundary_loss: 0.013543 (0.016207) Loss: 2.3984 (3.3090) +2025-08-20,19:40:09 | INFO | Train Epoch: 0 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 2.4408 (3.2887) Boundary_loss: 0.013567 (0.016195) Loss: 2.4543 (3.3049) +2025-08-20,19:41:09 | INFO | Train Epoch: 0 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 2.3311 (3.2841) Boundary_loss: 0.013585 (0.016182) Loss: 2.3447 (3.3003) +2025-08-20,19:42:08 | INFO | Train Epoch: 0 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 2.1626 (3.2788) Boundary_loss: 0.013784 (0.016171) Loss: 2.1764 (3.2950) +2025-08-20,19:43:07 | INFO | Train Epoch: 0 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 2.4701 (3.2750) Boundary_loss: 0.013596 (0.016158) Loss: 2.4837 (3.2911) +2025-08-20,19:44:06 | INFO | Train Epoch: 0 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.953 Boundary Ratio: 0.102 Contrastive_loss: 2.3957 (3.2708) Boundary_loss: 0.013724 (0.016147) Loss: 2.4095 (3.2870) +2025-08-20,19:45:06 | INFO | Train Epoch: 0 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 2.1380 (3.2655) Boundary_loss: 0.013634 (0.016135) Loss: 2.1516 (3.2816) +2025-08-20,19:46:05 | INFO | Train Epoch: 0 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 2.2095 (3.2606) Boundary_loss: 0.013661 (0.016124) Loss: 2.2232 (3.2767) +2025-08-20,19:47:04 | INFO | Train Epoch: 0 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 2.1736 (3.2555) Boundary_loss: 0.013555 (0.016112) Loss: 2.1871 (3.2716) +2025-08-20,19:48:03 | INFO | Train Epoch: 0 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 2.2454 (3.2508) Boundary_loss: 0.013710 (0.016101) Loss: 2.2592 (3.2669) +2025-08-20,19:49:02 | INFO | Train Epoch: 0 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 2.4017 (3.2469) Boundary_loss: 0.013582 (0.016089) Loss: 2.4153 (3.2630) +2025-08-20,19:50:01 | INFO | Train Epoch: 0 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 2.1451 (3.2419) Boundary_loss: 0.013498 (0.016077) Loss: 2.1586 (3.2579) +2025-08-20,19:51:01 | INFO | Train Epoch: 0 [11162112/26365952 (42%)] Avg Boundaries (per batch): 18.738 Boundary Ratio: 0.096 Contrastive_loss: 2.1831 (3.2370) Boundary_loss: 0.013639 (0.016066) Loss: 2.1967 (3.2531) +2025-08-20,19:52:00 | INFO | Train Epoch: 0 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 2.3025 (3.2328) Boundary_loss: 0.013575 (0.016055) Loss: 2.3161 (3.2488) +2025-08-20,19:52:59 | INFO | Train Epoch: 0 [11264512/26365952 (43%)] Avg Boundaries (per batch): 18.908 Boundary Ratio: 0.096 Contrastive_loss: 2.1542 (3.2279) Boundary_loss: 0.013609 (0.016044) Loss: 2.1678 (3.2440) +2025-08-20,19:53:58 | INFO | Train Epoch: 0 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 2.2906 (3.2237) Boundary_loss: 0.013582 (0.016032) Loss: 2.3041 (3.2397) +2025-08-20,19:54:57 | INFO | Train Epoch: 0 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 2.2634 (3.2194) Boundary_loss: 0.013560 (0.016021) Loss: 2.2769 (3.2354) +2025-08-20,19:55:57 | INFO | Train Epoch: 0 [11418112/26365952 (43%)] Avg Boundaries (per batch): 18.654 Boundary Ratio: 0.095 Contrastive_loss: 2.1339 (3.2145) Boundary_loss: 0.013954 (0.016012) Loss: 2.1479 (3.2305) +2025-08-20,19:56:56 | INFO | Train Epoch: 0 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 2.2553 (3.2103) Boundary_loss: 0.013487 (0.016001) Loss: 2.2688 (3.2263) +2025-08-20,19:57:55 | INFO | Train Epoch: 0 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.861 Boundary Ratio: 0.101 Contrastive_loss: 2.1623 (3.2056) Boundary_loss: 0.013586 (0.015990) Loss: 2.1759 (3.2216) +2025-08-20,19:58:54 | INFO | Train Epoch: 0 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 2.1643 (3.2010) Boundary_loss: 0.013529 (0.015979) Loss: 2.1779 (3.2170) +2025-08-20,19:59:53 | INFO | Train Epoch: 0 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 2.2545 (3.1969) Boundary_loss: 0.013581 (0.015969) Loss: 2.2681 (3.2129) +2025-08-20,20:00:53 | INFO | Train Epoch: 0 [11674112/26365952 (44%)] Avg Boundaries (per batch): 20.148 Boundary Ratio: 0.103 Contrastive_loss: 2.2197 (3.1926) Boundary_loss: 0.013790 (0.015959) Loss: 2.2335 (3.2086) +2025-08-20,20:01:52 | INFO | Train Epoch: 0 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.963 Boundary Ratio: 0.102 Contrastive_loss: 2.2677 (3.1886) Boundary_loss: 0.013707 (0.015950) Loss: 2.2814 (3.2046) +2025-08-20,20:02:51 | INFO | Train Epoch: 0 [11776512/26365952 (45%)] Avg Boundaries (per batch): 18.543 Boundary Ratio: 0.095 Contrastive_loss: 2.2799 (3.1847) Boundary_loss: 0.013553 (0.015939) Loss: 2.2934 (3.2006) +2025-08-20,20:03:50 | INFO | Train Epoch: 0 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 2.3263 (3.1810) Boundary_loss: 0.013587 (0.015929) Loss: 2.3399 (3.1969) +2025-08-20,20:04:49 | INFO | Train Epoch: 0 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 2.3451 (3.1774) Boundary_loss: 0.013531 (0.015919) Loss: 2.3586 (3.1933) +2025-08-20,20:05:49 | INFO | Train Epoch: 0 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 2.2811 (3.1736) Boundary_loss: 0.013508 (0.015908) Loss: 2.2946 (3.1895) +2025-08-20,20:06:48 | INFO | Train Epoch: 0 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 2.1188 (3.1691) Boundary_loss: 0.013415 (0.015898) Loss: 2.1323 (3.1850) +2025-08-20,20:07:47 | INFO | Train Epoch: 0 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 2.2296 (3.1651) Boundary_loss: 0.013623 (0.015888) Loss: 2.2432 (3.1810) +2025-08-20,20:08:46 | INFO | Train Epoch: 0 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 2.1613 (3.1609) Boundary_loss: 0.013636 (0.015879) Loss: 2.1749 (3.1767) +2025-08-20,20:09:45 | INFO | Train Epoch: 0 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 2.3080 (3.1573) Boundary_loss: 0.013567 (0.015869) Loss: 2.3216 (3.1731) +2025-08-20,20:10:44 | INFO | Train Epoch: 0 [12186112/26365952 (46%)] Avg Boundaries (per batch): 18.951 Boundary Ratio: 0.097 Contrastive_loss: 2.2351 (3.1534) Boundary_loss: 0.013614 (0.015860) Loss: 2.2487 (3.1693) +2025-08-20,20:11:44 | INFO | Train Epoch: 0 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.645 Boundary Ratio: 0.100 Contrastive_loss: 2.1242 (3.1491) Boundary_loss: 0.013508 (0.015850) Loss: 2.1377 (3.1650) +2025-08-20,20:12:43 | INFO | Train Epoch: 0 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 2.1242 (3.1449) Boundary_loss: 0.013673 (0.015841) Loss: 2.1379 (3.1607) +2025-08-20,20:13:42 | INFO | Train Epoch: 0 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.721 Boundary Ratio: 0.101 Contrastive_loss: 2.3532 (3.1416) Boundary_loss: 0.013393 (0.015831) Loss: 2.3666 (3.1574) +2025-08-20,20:14:41 | INFO | Train Epoch: 0 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 2.2659 (3.1380) Boundary_loss: 0.013714 (0.015822) Loss: 2.2796 (3.1538) +2025-08-20,20:15:40 | INFO | Train Epoch: 0 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 2.2937 (3.1345) Boundary_loss: 0.013545 (0.015813) Loss: 2.3072 (3.1503) +2025-08-20,20:16:39 | INFO | Train Epoch: 0 [12493312/26365952 (47%)] Avg Boundaries (per batch): 18.730 Boundary Ratio: 0.096 Contrastive_loss: 2.1742 (3.1306) Boundary_loss: 0.013464 (0.015803) Loss: 2.1877 (3.1464) +2025-08-20,20:17:39 | INFO | Train Epoch: 0 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 2.2507 (3.1270) Boundary_loss: 0.013658 (0.015794) Loss: 2.2643 (3.1428) +2025-08-20,20:18:38 | INFO | Train Epoch: 0 [12595712/26365952 (48%)] Avg Boundaries (per batch): 18.639 Boundary Ratio: 0.095 Contrastive_loss: 2.1414 (3.1230) Boundary_loss: 0.013572 (0.015785) Loss: 2.1550 (3.1388) +2025-08-20,20:19:37 | INFO | Train Epoch: 0 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 2.1584 (3.1192) Boundary_loss: 0.013686 (0.015777) Loss: 2.1721 (3.1349) +2025-08-20,20:20:36 | INFO | Train Epoch: 0 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 2.1657 (3.1153) Boundary_loss: 0.013533 (0.015768) Loss: 2.1792 (3.1311) +2025-08-20,20:21:35 | INFO | Train Epoch: 0 [12749312/26365952 (48%)] Avg Boundaries (per batch): 18.666 Boundary Ratio: 0.095 Contrastive_loss: 1.9847 (3.1108) Boundary_loss: 0.013641 (0.015759) Loss: 1.9983 (3.1266) +2025-08-20,20:22:34 | INFO | Train Epoch: 0 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.957 Boundary Ratio: 0.102 Contrastive_loss: 2.1420 (3.1069) Boundary_loss: 0.013478 (0.015750) Loss: 2.1555 (3.1227) +2025-08-20,20:23:34 | INFO | Train Epoch: 0 [12851712/26365952 (49%)] Avg Boundaries (per batch): 20.613 Boundary Ratio: 0.105 Contrastive_loss: 2.1657 (3.1032) Boundary_loss: 0.013587 (0.015742) Loss: 2.1793 (3.1190) +2025-08-20,20:24:33 | INFO | Train Epoch: 0 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 2.1422 (3.0994) Boundary_loss: 0.013616 (0.015733) Loss: 2.1558 (3.1151) +2025-08-20,20:25:32 | INFO | Train Epoch: 0 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.912 Boundary Ratio: 0.102 Contrastive_loss: 2.0540 (3.0953) Boundary_loss: 0.013575 (0.015725) Loss: 2.0676 (3.1110) +2025-08-20,20:26:31 | INFO | Train Epoch: 0 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 2.1510 (3.0916) Boundary_loss: 0.013540 (0.015716) Loss: 2.1646 (3.1073) +2025-08-20,20:27:30 | INFO | Train Epoch: 0 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 2.1297 (3.0878) Boundary_loss: 0.013383 (0.015707) Loss: 2.1431 (3.1035) +2025-08-20,20:28:30 | INFO | Train Epoch: 0 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 2.0582 (3.0838) Boundary_loss: 0.013630 (0.015699) Loss: 2.0719 (3.0995) +2025-08-20,20:29:29 | INFO | Train Epoch: 0 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.715 Boundary Ratio: 0.101 Contrastive_loss: 1.9436 (3.0794) Boundary_loss: 0.013519 (0.015690) Loss: 1.9572 (3.0951) +2025-08-20,20:30:28 | INFO | Train Epoch: 0 [13210112/26365952 (50%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 2.2580 (3.0762) Boundary_loss: 0.013612 (0.015682) Loss: 2.2716 (3.0919) +2025-08-20,20:31:27 | INFO | Train Epoch: 0 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 1.9745 (3.0720) Boundary_loss: 0.013608 (0.015674) Loss: 1.9881 (3.0877) +2025-08-20,20:32:26 | INFO | Train Epoch: 0 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.682 Boundary Ratio: 0.100 Contrastive_loss: 2.2387 (3.0688) Boundary_loss: 0.013565 (0.015666) Loss: 2.2523 (3.0845) +2025-08-20,20:33:25 | INFO | Train Epoch: 0 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.662 Boundary Ratio: 0.100 Contrastive_loss: 2.1821 (3.0654) Boundary_loss: 0.013422 (0.015658) Loss: 2.1955 (3.0811) +2025-08-20,20:34:25 | INFO | Train Epoch: 0 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 2.2461 (3.0623) Boundary_loss: 0.013556 (0.015650) Loss: 2.2596 (3.0780) +2025-08-20,20:35:24 | INFO | Train Epoch: 0 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 1.9626 (3.0581) Boundary_loss: 0.013485 (0.015642) Loss: 1.9760 (3.0738) +2025-08-20,20:36:23 | INFO | Train Epoch: 0 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 2.0581 (3.0544) Boundary_loss: 0.013486 (0.015633) Loss: 2.0716 (3.0700) +2025-08-20,20:37:22 | INFO | Train Epoch: 0 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 1.9566 (3.0502) Boundary_loss: 0.013495 (0.015625) Loss: 1.9701 (3.0659) +2025-08-20,20:38:21 | INFO | Train Epoch: 0 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.812 Boundary Ratio: 0.101 Contrastive_loss: 2.2627 (3.0473) Boundary_loss: 0.013597 (0.015618) Loss: 2.2763 (3.0629) +2025-08-20,20:39:20 | INFO | Train Epoch: 0 [13670912/26365952 (52%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 2.1135 (3.0438) Boundary_loss: 0.013564 (0.015610) Loss: 2.1270 (3.0594) +2025-08-20,20:40:20 | INFO | Train Epoch: 0 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 2.0767 (3.0402) Boundary_loss: 0.013390 (0.015602) Loss: 2.0901 (3.0558) +2025-08-20,20:41:19 | INFO | Train Epoch: 0 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 2.1199 (3.0368) Boundary_loss: 0.013488 (0.015594) Loss: 2.1333 (3.0524) +2025-08-20,20:42:18 | INFO | Train Epoch: 0 [13824512/26365952 (52%)] Avg Boundaries (per batch): 20.109 Boundary Ratio: 0.103 Contrastive_loss: 1.9959 (3.0330) Boundary_loss: 0.013706 (0.015587) Loss: 2.0096 (3.0485) +2025-08-20,20:43:17 | INFO | Train Epoch: 0 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 1.9626 (3.0290) Boundary_loss: 0.013416 (0.015579) Loss: 1.9760 (3.0446) +2025-08-20,20:44:16 | INFO | Train Epoch: 0 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.602 Boundary Ratio: 0.100 Contrastive_loss: 2.1498 (3.0258) Boundary_loss: 0.013719 (0.015572) Loss: 2.1635 (3.0414) +2025-08-20,20:45:15 | INFO | Train Epoch: 0 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 2.1227 (3.0225) Boundary_loss: 0.013464 (0.015565) Loss: 2.1361 (3.0381) +2025-08-20,20:46:14 | INFO | Train Epoch: 0 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.689 Boundary Ratio: 0.100 Contrastive_loss: 2.0861 (3.0191) Boundary_loss: 0.013679 (0.015558) Loss: 2.0998 (3.0347) +2025-08-20,20:47:14 | INFO | Train Epoch: 0 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 2.0958 (3.0158) Boundary_loss: 0.013317 (0.015550) Loss: 2.1091 (3.0313) +2025-08-20,20:48:13 | INFO | Train Epoch: 0 [14131712/26365952 (54%)] Avg Boundaries (per batch): 18.826 Boundary Ratio: 0.096 Contrastive_loss: 2.0847 (3.0124) Boundary_loss: 0.013503 (0.015542) Loss: 2.0982 (3.0279) +2025-08-20,20:49:12 | INFO | Train Epoch: 0 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 1.9923 (3.0087) Boundary_loss: 0.013328 (0.015534) Loss: 2.0056 (3.0243) +2025-08-20,20:50:11 | INFO | Train Epoch: 0 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 2.0293 (3.0052) Boundary_loss: 0.013497 (0.015527) Loss: 2.0428 (3.0207) +2025-08-20,20:51:10 | INFO | Train Epoch: 0 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 1.8937 (3.0012) Boundary_loss: 0.013309 (0.015519) Loss: 1.9071 (3.0168) +2025-08-20,20:52:09 | INFO | Train Epoch: 0 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 2.1416 (2.9982) Boundary_loss: 0.013502 (0.015512) Loss: 2.1551 (3.0137) +2025-08-20,20:53:08 | INFO | Train Epoch: 0 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.631 Boundary Ratio: 0.100 Contrastive_loss: 1.9634 (2.9945) Boundary_loss: 0.013513 (0.015505) Loss: 1.9769 (3.0100) +2025-08-20,20:54:08 | INFO | Train Epoch: 0 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 2.1346 (2.9915) Boundary_loss: 0.013553 (0.015498) Loss: 2.1481 (3.0070) +2025-08-20,20:55:07 | INFO | Train Epoch: 0 [14490112/26365952 (55%)] Avg Boundaries (per batch): 18.754 Boundary Ratio: 0.096 Contrastive_loss: 2.0119 (2.9880) Boundary_loss: 0.013655 (0.015491) Loss: 2.0256 (3.0035) +2025-08-20,20:56:06 | INFO | Train Epoch: 0 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 2.1712 (2.9852) Boundary_loss: 0.013466 (0.015484) Loss: 2.1846 (3.0007) +2025-08-20,20:57:05 | INFO | Train Epoch: 0 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 2.0176 (2.9818) Boundary_loss: 0.013440 (0.015477) Loss: 2.0311 (2.9973) +2025-08-20,20:58:04 | INFO | Train Epoch: 0 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.674 Boundary Ratio: 0.100 Contrastive_loss: 1.8398 (2.9778) Boundary_loss: 0.013533 (0.015470) Loss: 1.8534 (2.9933) +2025-08-20,20:59:03 | INFO | Train Epoch: 0 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 1.9636 (2.9743) Boundary_loss: 0.013498 (0.015464) Loss: 1.9771 (2.9897) +2025-08-20,21:00:03 | INFO | Train Epoch: 0 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 1.9068 (2.9706) Boundary_loss: 0.013439 (0.015457) Loss: 1.9202 (2.9860) +2025-08-20,21:01:02 | INFO | Train Epoch: 0 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.850 Boundary Ratio: 0.101 Contrastive_loss: 2.1290 (2.9677) Boundary_loss: 0.013593 (0.015450) Loss: 2.1426 (2.9831) +2025-08-20,21:02:01 | INFO | Train Epoch: 0 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.635 Boundary Ratio: 0.100 Contrastive_loss: 2.0908 (2.9647) Boundary_loss: 0.013407 (0.015443) Loss: 2.1042 (2.9801) +2025-08-20,21:03:00 | INFO | Train Epoch: 0 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 2.2056 (2.9621) Boundary_loss: 0.013548 (0.015437) Loss: 2.2192 (2.9775) +2025-08-20,21:03:59 | INFO | Train Epoch: 0 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 2.1876 (2.9594) Boundary_loss: 0.013668 (0.015431) Loss: 2.2012 (2.9749) +2025-08-20,21:04:58 | INFO | Train Epoch: 0 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 2.0516 (2.9563) Boundary_loss: 0.013325 (0.015423) Loss: 2.0649 (2.9718) +2025-08-20,21:05:58 | INFO | Train Epoch: 0 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 1.8221 (2.9525) Boundary_loss: 0.013503 (0.015417) Loss: 1.8356 (2.9679) +2025-08-20,21:06:57 | INFO | Train Epoch: 0 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.939 Boundary Ratio: 0.102 Contrastive_loss: 1.8752 (2.9489) Boundary_loss: 0.013429 (0.015410) Loss: 1.8886 (2.9643) +2025-08-20,21:07:56 | INFO | Train Epoch: 0 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 2.0424 (2.9458) Boundary_loss: 0.013593 (0.015404) Loss: 2.0560 (2.9612) +2025-08-20,21:08:55 | INFO | Train Epoch: 0 [15206912/26365952 (58%)] Avg Boundaries (per batch): 20.062 Boundary Ratio: 0.102 Contrastive_loss: 1.8522 (2.9421) Boundary_loss: 0.013594 (0.015398) Loss: 1.8658 (2.9575) +2025-08-20,21:09:54 | INFO | Train Epoch: 0 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 2.1488 (2.9395) Boundary_loss: 0.013506 (0.015392) Loss: 2.1623 (2.9549) +2025-08-20,21:10:53 | INFO | Train Epoch: 0 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 1.9636 (2.9362) Boundary_loss: 0.013557 (0.015386) Loss: 1.9772 (2.9516) +2025-08-20,21:11:52 | INFO | Train Epoch: 0 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.004 Boundary Ratio: 0.097 Contrastive_loss: 1.8877 (2.9327) Boundary_loss: 0.013616 (0.015380) Loss: 1.9013 (2.9481) +2025-08-20,21:12:51 | INFO | Train Epoch: 0 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 2.0581 (2.9299) Boundary_loss: 0.013546 (0.015374) Loss: 2.0716 (2.9452) +2025-08-20,21:13:50 | INFO | Train Epoch: 0 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 2.0877 (2.9271) Boundary_loss: 0.013456 (0.015367) Loss: 2.1012 (2.9424) +2025-08-20,21:14:50 | INFO | Train Epoch: 0 [15514112/26365952 (59%)] Avg Boundaries (per batch): 20.158 Boundary Ratio: 0.103 Contrastive_loss: 2.0325 (2.9241) Boundary_loss: 0.013541 (0.015361) Loss: 2.0460 (2.9395) +2025-08-20,21:15:49 | INFO | Train Epoch: 0 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 1.9791 (2.9210) Boundary_loss: 0.013542 (0.015355) Loss: 1.9927 (2.9364) +2025-08-20,21:16:48 | INFO | Train Epoch: 0 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 1.9922 (2.9180) Boundary_loss: 0.013548 (0.015349) Loss: 2.0057 (2.9333) +2025-08-20,21:17:47 | INFO | Train Epoch: 0 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 2.0265 (2.9151) Boundary_loss: 0.013358 (0.015343) Loss: 2.0399 (2.9304) +2025-08-20,21:18:46 | INFO | Train Epoch: 0 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 1.8939 (2.9118) Boundary_loss: 0.013482 (0.015337) Loss: 1.9073 (2.9271) +2025-08-20,21:19:46 | INFO | Train Epoch: 0 [15770112/26365952 (60%)] Avg Boundaries (per batch): 20.350 Boundary Ratio: 0.104 Contrastive_loss: 1.9225 (2.9086) Boundary_loss: 0.013743 (0.015332) Loss: 1.9363 (2.9239) +2025-08-20,21:20:45 | INFO | Train Epoch: 0 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.607 Boundary Ratio: 0.100 Contrastive_loss: 2.0056 (2.9057) Boundary_loss: 0.013512 (0.015326) Loss: 2.0191 (2.9210) +2025-08-20,21:21:44 | INFO | Train Epoch: 0 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 2.0251 (2.9028) Boundary_loss: 0.013506 (0.015320) Loss: 2.0386 (2.9181) +2025-08-20,21:22:43 | INFO | Train Epoch: 0 [15923712/26365952 (60%)] Avg Boundaries (per batch): 20.107 Boundary Ratio: 0.103 Contrastive_loss: 1.8880 (2.8996) Boundary_loss: 0.013443 (0.015314) Loss: 1.9014 (2.9149) +2025-08-20,21:23:42 | INFO | Train Epoch: 0 [15974912/26365952 (61%)] Avg Boundaries (per batch): 18.910 Boundary Ratio: 0.096 Contrastive_loss: 1.9523 (2.8966) Boundary_loss: 0.013556 (0.015308) Loss: 1.9658 (2.9119) +2025-08-20,21:24:42 | INFO | Train Epoch: 0 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 1.9878 (2.8937) Boundary_loss: 0.013378 (0.015302) Loss: 2.0012 (2.9090) +2025-08-20,21:25:41 | INFO | Train Epoch: 0 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 1.9755 (2.8907) Boundary_loss: 0.013433 (0.015296) Loss: 1.9890 (2.9060) +2025-08-20,21:26:40 | INFO | Train Epoch: 0 [16128512/26365952 (61%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 1.9128 (2.8876) Boundary_loss: 0.013469 (0.015290) Loss: 1.9263 (2.9029) +2025-08-20,21:27:39 | INFO | Train Epoch: 0 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 1.9986 (2.8848) Boundary_loss: 0.013449 (0.015285) Loss: 2.0120 (2.9001) +2025-08-20,21:28:38 | INFO | Train Epoch: 0 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 1.9396 (2.8819) Boundary_loss: 0.013490 (0.015279) Loss: 1.9531 (2.8971) +2025-08-20,21:29:38 | INFO | Train Epoch: 0 [16282112/26365952 (62%)] Avg Boundaries (per batch): 20.533 Boundary Ratio: 0.105 Contrastive_loss: 1.9359 (2.8789) Boundary_loss: 0.013607 (0.015274) Loss: 1.9495 (2.8942) +2025-08-20,21:30:37 | INFO | Train Epoch: 0 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 1.7898 (2.8755) Boundary_loss: 0.013504 (0.015268) Loss: 1.8033 (2.8908) +2025-08-20,21:31:36 | INFO | Train Epoch: 0 [16384512/26365952 (62%)] Avg Boundaries (per batch): 18.936 Boundary Ratio: 0.097 Contrastive_loss: 1.9673 (2.8727) Boundary_loss: 0.013611 (0.015263) Loss: 1.9809 (2.8879) +2025-08-20,21:32:35 | INFO | Train Epoch: 0 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 1.9320 (2.8698) Boundary_loss: 0.013558 (0.015258) Loss: 1.9456 (2.8850) +2025-08-20,21:33:34 | INFO | Train Epoch: 0 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 1.9464 (2.8669) Boundary_loss: 0.013414 (0.015252) Loss: 1.9598 (2.8821) +2025-08-20,21:34:33 | INFO | Train Epoch: 0 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 2.0716 (2.8644) Boundary_loss: 0.013446 (0.015247) Loss: 2.0850 (2.8797) +2025-08-20,21:35:33 | INFO | Train Epoch: 0 [16589312/26365952 (63%)] Avg Boundaries (per batch): 18.654 Boundary Ratio: 0.095 Contrastive_loss: 2.0258 (2.8619) Boundary_loss: 0.013311 (0.015241) Loss: 2.0391 (2.8771) +2025-08-20,21:36:32 | INFO | Train Epoch: 0 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 1.9671 (2.8591) Boundary_loss: 0.013244 (0.015234) Loss: 1.9803 (2.8743) +2025-08-20,21:37:31 | INFO | Train Epoch: 0 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 1.9826 (2.8564) Boundary_loss: 0.013652 (0.015230) Loss: 1.9962 (2.8717) +2025-08-20,21:38:30 | INFO | Train Epoch: 0 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.666 Boundary Ratio: 0.100 Contrastive_loss: 1.8258 (2.8533) Boundary_loss: 0.013383 (0.015224) Loss: 1.8392 (2.8685) +2025-08-20,21:39:29 | INFO | Train Epoch: 0 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 1.8745 (2.8503) Boundary_loss: 0.013350 (0.015218) Loss: 1.8879 (2.8655) +2025-08-20,21:40:29 | INFO | Train Epoch: 0 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 1.8447 (2.8473) Boundary_loss: 0.013526 (0.015213) Loss: 1.8582 (2.8625) +2025-08-20,21:41:28 | INFO | Train Epoch: 0 [16896512/26365952 (64%)] Avg Boundaries (per batch): 18.979 Boundary Ratio: 0.097 Contrastive_loss: 2.1349 (2.8451) Boundary_loss: 0.013258 (0.015207) Loss: 2.1481 (2.8603) +2025-08-20,21:42:27 | INFO | Train Epoch: 0 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 1.7350 (2.8418) Boundary_loss: 0.013418 (0.015202) Loss: 1.7484 (2.8570) +2025-08-20,21:43:26 | INFO | Train Epoch: 0 [16998912/26365952 (64%)] Avg Boundaries (per batch): 18.783 Boundary Ratio: 0.096 Contrastive_loss: 1.7435 (2.8385) Boundary_loss: 0.013556 (0.015197) Loss: 1.7571 (2.8537) +2025-08-20,21:44:25 | INFO | Train Epoch: 0 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 1.6947 (2.8350) Boundary_loss: 0.013482 (0.015192) Loss: 1.7082 (2.8502) +2025-08-20,21:45:24 | INFO | Train Epoch: 0 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 1.8885 (2.8322) Boundary_loss: 0.013446 (0.015187) Loss: 1.9019 (2.8474) +2025-08-20,21:46:24 | INFO | Train Epoch: 0 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.777 Boundary Ratio: 0.101 Contrastive_loss: 1.7691 (2.8291) Boundary_loss: 0.013418 (0.015181) Loss: 1.7826 (2.8442) +2025-08-20,21:47:23 | INFO | Train Epoch: 0 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 1.9230 (2.8264) Boundary_loss: 0.013451 (0.015176) Loss: 1.9364 (2.8415) +2025-08-20,21:48:22 | INFO | Train Epoch: 0 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.900 Boundary Ratio: 0.102 Contrastive_loss: 1.7030 (2.8230) Boundary_loss: 0.013596 (0.015171) Loss: 1.7166 (2.8382) +2025-08-20,21:49:21 | INFO | Train Epoch: 0 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 1.6634 (2.8196) Boundary_loss: 0.013618 (0.015167) Loss: 1.6770 (2.8348) +2025-08-20,21:50:20 | INFO | Train Epoch: 0 [17357312/26365952 (66%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 1.8623 (2.8168) Boundary_loss: 0.013493 (0.015162) Loss: 1.8758 (2.8320) +2025-08-20,21:51:19 | INFO | Train Epoch: 0 [17408512/26365952 (66%)] Avg Boundaries (per batch): 18.859 Boundary Ratio: 0.096 Contrastive_loss: 1.7670 (2.8137) Boundary_loss: 0.013363 (0.015157) Loss: 1.7804 (2.8289) +2025-08-20,21:52:18 | INFO | Train Epoch: 0 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.596 Boundary Ratio: 0.100 Contrastive_loss: 1.7465 (2.8106) Boundary_loss: 0.013532 (0.015152) Loss: 1.7600 (2.8258) +2025-08-20,21:53:17 | INFO | Train Epoch: 0 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 1.8600 (2.8078) Boundary_loss: 0.013372 (0.015147) Loss: 1.8733 (2.8230) +2025-08-20,21:54:16 | INFO | Train Epoch: 0 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.770 Boundary Ratio: 0.101 Contrastive_loss: 1.9440 (2.8053) Boundary_loss: 0.013452 (0.015142) Loss: 1.9574 (2.8205) +2025-08-20,21:55:16 | INFO | Train Epoch: 0 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 1.8689 (2.8026) Boundary_loss: 0.013400 (0.015137) Loss: 1.8823 (2.8178) +2025-08-20,21:56:15 | INFO | Train Epoch: 0 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 2.0000 (2.8003) Boundary_loss: 0.013480 (0.015132) Loss: 2.0135 (2.8154) +2025-08-20,21:57:14 | INFO | Train Epoch: 0 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.582 Boundary Ratio: 0.100 Contrastive_loss: 1.9678 (2.7979) Boundary_loss: 0.013546 (0.015127) Loss: 1.9814 (2.8130) +2025-08-20,21:58:13 | INFO | Train Epoch: 0 [17766912/26365952 (67%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 1.8334 (2.7951) Boundary_loss: 0.013539 (0.015123) Loss: 1.8469 (2.8102) +2025-08-20,21:59:12 | INFO | Train Epoch: 0 [17818112/26365952 (68%)] Avg Boundaries (per batch): 18.791 Boundary Ratio: 0.096 Contrastive_loss: 1.8134 (2.7923) Boundary_loss: 0.013545 (0.015118) Loss: 1.8270 (2.8074) +2025-08-20,22:00:11 | INFO | Train Epoch: 0 [17869312/26365952 (68%)] Avg Boundaries (per batch): 20.043 Boundary Ratio: 0.102 Contrastive_loss: 1.8026 (2.7895) Boundary_loss: 0.013523 (0.015114) Loss: 1.8161 (2.8046) +2025-08-20,22:01:10 | INFO | Train Epoch: 0 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.674 Boundary Ratio: 0.100 Contrastive_loss: 1.7726 (2.7866) Boundary_loss: 0.013564 (0.015109) Loss: 1.7861 (2.8017) +2025-08-20,22:02:10 | INFO | Train Epoch: 0 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 1.8040 (2.7838) Boundary_loss: 0.013476 (0.015105) Loss: 1.8175 (2.7989) +2025-08-20,22:03:09 | INFO | Train Epoch: 0 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 1.9063 (2.7813) Boundary_loss: 0.013430 (0.015100) Loss: 1.9197 (2.7964) +2025-08-20,22:04:08 | INFO | Train Epoch: 0 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 1.8200 (2.7786) Boundary_loss: 0.013551 (0.015096) Loss: 1.8335 (2.7937) +2025-08-20,22:05:07 | INFO | Train Epoch: 0 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.666 Boundary Ratio: 0.100 Contrastive_loss: 1.9029 (2.7761) Boundary_loss: 0.013588 (0.015091) Loss: 1.9165 (2.7912) +2025-08-20,22:06:06 | INFO | Train Epoch: 0 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 1.8706 (2.7736) Boundary_loss: 0.013547 (0.015087) Loss: 1.8841 (2.7887) +2025-08-20,22:07:05 | INFO | Train Epoch: 0 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 1.7801 (2.7708) Boundary_loss: 0.013414 (0.015082) Loss: 1.7935 (2.7859) +2025-08-20,22:08:04 | INFO | Train Epoch: 0 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.736 Boundary Ratio: 0.101 Contrastive_loss: 1.8086 (2.7681) Boundary_loss: 0.013552 (0.015078) Loss: 1.8222 (2.7832) +2025-08-20,22:09:03 | INFO | Train Epoch: 0 [18330112/26365952 (70%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 1.8200 (2.7655) Boundary_loss: 0.013535 (0.015074) Loss: 1.8335 (2.7805) +2025-08-20,22:10:03 | INFO | Train Epoch: 0 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.604 Boundary Ratio: 0.100 Contrastive_loss: 1.8614 (2.7630) Boundary_loss: 0.013604 (0.015070) Loss: 1.8750 (2.7780) +2025-08-20,22:11:02 | INFO | Train Epoch: 0 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 1.9767 (2.7608) Boundary_loss: 0.013539 (0.015065) Loss: 1.9902 (2.7758) +2025-08-20,22:12:01 | INFO | Train Epoch: 0 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 1.7119 (2.7579) Boundary_loss: 0.013560 (0.015061) Loss: 1.7255 (2.7729) +2025-08-20,22:13:00 | INFO | Train Epoch: 0 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 1.8013 (2.7552) Boundary_loss: 0.013474 (0.015057) Loss: 1.8148 (2.7703) +2025-08-20,22:13:59 | INFO | Train Epoch: 0 [18586112/26365952 (70%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 1.8006 (2.7526) Boundary_loss: 0.013468 (0.015053) Loss: 1.8140 (2.7677) +2025-08-20,22:14:58 | INFO | Train Epoch: 0 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 1.7570 (2.7499) Boundary_loss: 0.013444 (0.015048) Loss: 1.7704 (2.7649) +2025-08-20,22:15:57 | INFO | Train Epoch: 0 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 2.0236 (2.7479) Boundary_loss: 0.013593 (0.015044) Loss: 2.0372 (2.7630) +2025-08-20,22:16:57 | INFO | Train Epoch: 0 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 1.7186 (2.7451) Boundary_loss: 0.013346 (0.015040) Loss: 1.7319 (2.7601) +2025-08-20,22:17:56 | INFO | Train Epoch: 0 [18790912/26365952 (71%)] Avg Boundaries (per batch): 20.402 Boundary Ratio: 0.104 Contrastive_loss: 1.8886 (2.7428) Boundary_loss: 0.013676 (0.015036) Loss: 1.9023 (2.7578) +2025-08-20,22:18:55 | INFO | Train Epoch: 0 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 1.9243 (2.7406) Boundary_loss: 0.013476 (0.015032) Loss: 1.9377 (2.7556) +2025-08-20,22:19:54 | INFO | Train Epoch: 0 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 1.8728 (2.7382) Boundary_loss: 0.013521 (0.015028) Loss: 1.8863 (2.7532) +2025-08-20,22:20:53 | INFO | Train Epoch: 0 [18944512/26365952 (72%)] Avg Boundaries (per batch): 20.404 Boundary Ratio: 0.104 Contrastive_loss: 1.7593 (2.7356) Boundary_loss: 0.013553 (0.015024) Loss: 1.7728 (2.7506) +2025-08-20,22:21:52 | INFO | Train Epoch: 0 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 1.8079 (2.7331) Boundary_loss: 0.013470 (0.015019) Loss: 1.8213 (2.7481) +2025-08-20,22:22:51 | INFO | Train Epoch: 0 [19046912/26365952 (72%)] Avg Boundaries (per batch): 18.732 Boundary Ratio: 0.096 Contrastive_loss: 1.8656 (2.7308) Boundary_loss: 0.013438 (0.015015) Loss: 1.8790 (2.7458) +2025-08-20,22:23:50 | INFO | Train Epoch: 0 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 1.7713 (2.7282) Boundary_loss: 0.013426 (0.015011) Loss: 1.7847 (2.7432) +2025-08-20,22:24:49 | INFO | Train Epoch: 0 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 1.8199 (2.7258) Boundary_loss: 0.013608 (0.015007) Loss: 1.8335 (2.7408) +2025-08-20,22:25:49 | INFO | Train Epoch: 0 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.764 Boundary Ratio: 0.101 Contrastive_loss: 1.8340 (2.7234) Boundary_loss: 0.013519 (0.015003) Loss: 1.8475 (2.7384) +2025-08-20,22:26:48 | INFO | Train Epoch: 0 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.574 Boundary Ratio: 0.100 Contrastive_loss: 1.6462 (2.7205) Boundary_loss: 0.013454 (0.014999) Loss: 1.6597 (2.7355) +2025-08-20,22:27:47 | INFO | Train Epoch: 0 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 1.8489 (2.7182) Boundary_loss: 0.013541 (0.014995) Loss: 1.8624 (2.7332) +2025-08-20,22:28:46 | INFO | Train Epoch: 0 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 1.7840 (2.7158) Boundary_loss: 0.013436 (0.014991) Loss: 1.7975 (2.7308) +2025-08-20,22:29:45 | INFO | Train Epoch: 0 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 1.6721 (2.7130) Boundary_loss: 0.013572 (0.014987) Loss: 1.6857 (2.7280) +2025-08-20,22:30:44 | INFO | Train Epoch: 0 [19456512/26365952 (74%)] Avg Boundaries (per batch): 18.768 Boundary Ratio: 0.096 Contrastive_loss: 1.6834 (2.7103) Boundary_loss: 0.013447 (0.014983) Loss: 1.6968 (2.7253) +2025-08-20,22:31:43 | INFO | Train Epoch: 0 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.889 Boundary Ratio: 0.101 Contrastive_loss: 1.7609 (2.7078) Boundary_loss: 0.013408 (0.014979) Loss: 1.7743 (2.7228) +2025-08-20,22:32:42 | INFO | Train Epoch: 0 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.781 Boundary Ratio: 0.101 Contrastive_loss: 1.7048 (2.7052) Boundary_loss: 0.013529 (0.014975) Loss: 1.7183 (2.7202) +2025-08-20,22:33:41 | INFO | Train Epoch: 0 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 1.5935 (2.7023) Boundary_loss: 0.013347 (0.014971) Loss: 1.6069 (2.7173) +2025-08-20,22:34:40 | INFO | Train Epoch: 0 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 1.7532 (2.6999) Boundary_loss: 0.013536 (0.014967) Loss: 1.7667 (2.7148) +2025-08-20,22:35:40 | INFO | Train Epoch: 0 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 1.7603 (2.6974) Boundary_loss: 0.013473 (0.014964) Loss: 1.7738 (2.7124) +2025-08-20,22:36:39 | INFO | Train Epoch: 0 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 1.7739 (2.6950) Boundary_loss: 0.013346 (0.014959) Loss: 1.7873 (2.7100) +2025-08-20,22:37:38 | INFO | Train Epoch: 0 [19814912/26365952 (75%)] Avg Boundaries (per batch): 18.932 Boundary Ratio: 0.097 Contrastive_loss: 1.6440 (2.6923) Boundary_loss: 0.013436 (0.014955) Loss: 1.6574 (2.7073) +2025-08-20,22:38:37 | INFO | Train Epoch: 0 [19866112/26365952 (75%)] Avg Boundaries (per batch): 18.729 Boundary Ratio: 0.096 Contrastive_loss: 1.7989 (2.6900) Boundary_loss: 0.013356 (0.014951) Loss: 1.8123 (2.7050) +2025-08-20,22:39:36 | INFO | Train Epoch: 0 [19917312/26365952 (76%)] Avg Boundaries (per batch): 20.146 Boundary Ratio: 0.103 Contrastive_loss: 1.7827 (2.6877) Boundary_loss: 0.013490 (0.014948) Loss: 1.7962 (2.7027) +2025-08-20,22:40:35 | INFO | Train Epoch: 0 [19968512/26365952 (76%)] Avg Boundaries (per batch): 18.891 Boundary Ratio: 0.096 Contrastive_loss: 1.6496 (2.6851) Boundary_loss: 0.013450 (0.014944) Loss: 1.6630 (2.7000) +2025-08-20,22:41:34 | INFO | Train Epoch: 0 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 1.7334 (2.6826) Boundary_loss: 0.013548 (0.014940) Loss: 1.7470 (2.6976) +2025-08-20,22:42:33 | INFO | Train Epoch: 0 [20070912/26365952 (76%)] Avg Boundaries (per batch): 20.025 Boundary Ratio: 0.102 Contrastive_loss: 1.7207 (2.6802) Boundary_loss: 0.013589 (0.014937) Loss: 1.7343 (2.6951) +2025-08-20,22:43:32 | INFO | Train Epoch: 0 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 1.7858 (2.6779) Boundary_loss: 0.013500 (0.014933) Loss: 1.7993 (2.6928) +2025-08-20,22:44:32 | INFO | Train Epoch: 0 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 1.8233 (2.6757) Boundary_loss: 0.013376 (0.014929) Loss: 1.8367 (2.6907) +2025-08-20,22:45:31 | INFO | Train Epoch: 0 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 1.6895 (2.6733) Boundary_loss: 0.013625 (0.014926) Loss: 1.7031 (2.6882) +2025-08-20,22:46:30 | INFO | Train Epoch: 0 [20275712/26365952 (77%)] Avg Boundaries (per batch): 18.363 Boundary Ratio: 0.094 Contrastive_loss: 1.8315 (2.6711) Boundary_loss: 0.013612 (0.014923) Loss: 1.8451 (2.6861) +2025-08-20,22:47:29 | INFO | Train Epoch: 0 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 1.5897 (2.6684) Boundary_loss: 0.013325 (0.014919) Loss: 1.6030 (2.6833) +2025-08-20,22:48:28 | INFO | Train Epoch: 0 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 1.8223 (2.6663) Boundary_loss: 0.013410 (0.014915) Loss: 1.8358 (2.6812) +2025-08-20,22:49:27 | INFO | Train Epoch: 0 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 1.7059 (2.6639) Boundary_loss: 0.013406 (0.014911) Loss: 1.7193 (2.6788) +2025-08-20,22:50:26 | INFO | Train Epoch: 0 [20480512/26365952 (78%)] Avg Boundaries (per batch): 18.734 Boundary Ratio: 0.096 Contrastive_loss: 1.8672 (2.6619) Boundary_loss: 0.013501 (0.014908) Loss: 1.8807 (2.6768) +2025-08-20,22:51:25 | INFO | Train Epoch: 0 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.621 Boundary Ratio: 0.100 Contrastive_loss: 1.8257 (2.6598) Boundary_loss: 0.013341 (0.014904) Loss: 1.8391 (2.6747) +2025-08-20,22:52:24 | INFO | Train Epoch: 0 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.699 Boundary Ratio: 0.101 Contrastive_loss: 1.7017 (2.6574) Boundary_loss: 0.013564 (0.014900) Loss: 1.7153 (2.6723) +2025-08-20,22:53:24 | INFO | Train Epoch: 0 [20634112/26365952 (78%)] Avg Boundaries (per batch): 18.932 Boundary Ratio: 0.097 Contrastive_loss: 1.7234 (2.6551) Boundary_loss: 0.013427 (0.014897) Loss: 1.7369 (2.6700) +2025-08-20,22:54:23 | INFO | Train Epoch: 0 [20685312/26365952 (78%)] Avg Boundaries (per batch): 18.826 Boundary Ratio: 0.096 Contrastive_loss: 1.7905 (2.6530) Boundary_loss: 0.013558 (0.014893) Loss: 1.8041 (2.6679) +2025-08-20,22:55:22 | INFO | Train Epoch: 0 [20736512/26365952 (79%)] Avg Boundaries (per batch): 18.641 Boundary Ratio: 0.095 Contrastive_loss: 1.7880 (2.6509) Boundary_loss: 0.013502 (0.014890) Loss: 1.8015 (2.6658) +2025-08-20,22:56:21 | INFO | Train Epoch: 0 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 1.8010 (2.6488) Boundary_loss: 0.013561 (0.014887) Loss: 1.8145 (2.6637) +2025-08-20,22:57:20 | INFO | Train Epoch: 0 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 1.6648 (2.6464) Boundary_loss: 0.013360 (0.014883) Loss: 1.6782 (2.6613) +2025-08-20,22:58:19 | INFO | Train Epoch: 0 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.816 Boundary Ratio: 0.101 Contrastive_loss: 1.5896 (2.6438) Boundary_loss: 0.013607 (0.014880) Loss: 1.6032 (2.6587) +2025-08-20,22:59:18 | INFO | Train Epoch: 0 [20941312/26365952 (79%)] Avg Boundaries (per batch): 20.037 Boundary Ratio: 0.102 Contrastive_loss: 1.6450 (2.6414) Boundary_loss: 0.013604 (0.014877) Loss: 1.6586 (2.6562) +2025-08-20,23:00:18 | INFO | Train Epoch: 0 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 1.6820 (2.6390) Boundary_loss: 0.013515 (0.014873) Loss: 1.6955 (2.6539) +2025-08-20,23:01:17 | INFO | Train Epoch: 0 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 1.6821 (2.6367) Boundary_loss: 0.013503 (0.014870) Loss: 1.6956 (2.6516) +2025-08-20,23:02:16 | INFO | Train Epoch: 0 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 1.6694 (2.6344) Boundary_loss: 0.013412 (0.014866) Loss: 1.6828 (2.6492) +2025-08-20,23:03:15 | INFO | Train Epoch: 0 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 1.7424 (2.6322) Boundary_loss: 0.013470 (0.014863) Loss: 1.7558 (2.6471) +2025-08-20,23:04:14 | INFO | Train Epoch: 0 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 1.6970 (2.6299) Boundary_loss: 0.013437 (0.014860) Loss: 1.7104 (2.6448) +2025-08-20,23:05:13 | INFO | Train Epoch: 0 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 1.5213 (2.6273) Boundary_loss: 0.013329 (0.014856) Loss: 1.5346 (2.6421) +2025-08-20,23:06:13 | INFO | Train Epoch: 0 [21299712/26365952 (81%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 1.8947 (2.6255) Boundary_loss: 0.013298 (0.014852) Loss: 1.9080 (2.6404) +2025-08-20,23:07:12 | INFO | Train Epoch: 0 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.656 Boundary Ratio: 0.100 Contrastive_loss: 1.7426 (2.6234) Boundary_loss: 0.013409 (0.014849) Loss: 1.7560 (2.6383) +2025-08-20,23:08:11 | INFO | Train Epoch: 0 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.838 Boundary Ratio: 0.101 Contrastive_loss: 1.7369 (2.6213) Boundary_loss: 0.013414 (0.014845) Loss: 1.7503 (2.6361) +2025-08-20,23:09:10 | INFO | Train Epoch: 0 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.898 Boundary Ratio: 0.102 Contrastive_loss: 1.5418 (2.6187) Boundary_loss: 0.013398 (0.014842) Loss: 1.5552 (2.6336) +2025-08-20,23:10:09 | INFO | Train Epoch: 0 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 1.9521 (2.6171) Boundary_loss: 0.013365 (0.014838) Loss: 1.9654 (2.6320) +2025-08-20,23:11:08 | INFO | Train Epoch: 0 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 1.6478 (2.6148) Boundary_loss: 0.013397 (0.014835) Loss: 1.6612 (2.6297) +2025-08-20,23:12:07 | INFO | Train Epoch: 0 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 1.7652 (2.6128) Boundary_loss: 0.013489 (0.014832) Loss: 1.7787 (2.6277) +2025-08-20,23:13:06 | INFO | Train Epoch: 0 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 1.6857 (2.6106) Boundary_loss: 0.013325 (0.014828) Loss: 1.6990 (2.6255) +2025-08-20,23:14:06 | INFO | Train Epoch: 0 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 1.7643 (2.6087) Boundary_loss: 0.013378 (0.014825) Loss: 1.7777 (2.6235) +2025-08-20,23:15:05 | INFO | Train Epoch: 0 [21760512/26365952 (83%)] Avg Boundaries (per batch): 18.664 Boundary Ratio: 0.095 Contrastive_loss: 1.6546 (2.6064) Boundary_loss: 0.013584 (0.014822) Loss: 1.6682 (2.6212) +2025-08-20,23:16:04 | INFO | Train Epoch: 0 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 1.7587 (2.6044) Boundary_loss: 0.013381 (0.014819) Loss: 1.7720 (2.6193) +2025-08-20,23:17:03 | INFO | Train Epoch: 0 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 1.5966 (2.6021) Boundary_loss: 0.013479 (0.014815) Loss: 1.6101 (2.6169) +2025-08-20,23:18:02 | INFO | Train Epoch: 0 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 1.7055 (2.6000) Boundary_loss: 0.013422 (0.014812) Loss: 1.7189 (2.6148) +2025-08-20,23:19:01 | INFO | Train Epoch: 0 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.871 Boundary Ratio: 0.101 Contrastive_loss: 1.7721 (2.5981) Boundary_loss: 0.013478 (0.014809) Loss: 1.7855 (2.6129) +2025-08-20,23:20:00 | INFO | Train Epoch: 0 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 1.7891 (2.5962) Boundary_loss: 0.013427 (0.014806) Loss: 1.8025 (2.6110) +2025-08-20,23:20:59 | INFO | Train Epoch: 0 [22067712/26365952 (84%)] Avg Boundaries (per batch): 18.822 Boundary Ratio: 0.096 Contrastive_loss: 1.6432 (2.5940) Boundary_loss: 0.013493 (0.014803) Loss: 1.6567 (2.6088) +2025-08-20,23:21:58 | INFO | Train Epoch: 0 [22118912/26365952 (84%)] Avg Boundaries (per batch): 18.814 Boundary Ratio: 0.096 Contrastive_loss: 1.7107 (2.5919) Boundary_loss: 0.013296 (0.014799) Loss: 1.7240 (2.6067) +2025-08-20,23:22:58 | INFO | Train Epoch: 0 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.543 Boundary Ratio: 0.100 Contrastive_loss: 1.7731 (2.5901) Boundary_loss: 0.013442 (0.014796) Loss: 1.7865 (2.6048) +2025-08-20,23:23:57 | INFO | Train Epoch: 0 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 1.7564 (2.5881) Boundary_loss: 0.013539 (0.014793) Loss: 1.7700 (2.6029) +2025-08-20,23:24:56 | INFO | Train Epoch: 0 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 1.7289 (2.5862) Boundary_loss: 0.013542 (0.014790) Loss: 1.7424 (2.6010) +2025-08-20,23:25:55 | INFO | Train Epoch: 0 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 1.5779 (2.5839) Boundary_loss: 0.013441 (0.014787) Loss: 1.5914 (2.5986) +2025-08-20,23:26:54 | INFO | Train Epoch: 0 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.943 Boundary Ratio: 0.102 Contrastive_loss: 1.4970 (2.5814) Boundary_loss: 0.013318 (0.014784) Loss: 1.5103 (2.5962) +2025-08-20,23:27:53 | INFO | Train Epoch: 0 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 1.5658 (2.5791) Boundary_loss: 0.013337 (0.014781) Loss: 1.5791 (2.5938) +2025-08-20,23:28:52 | INFO | Train Epoch: 0 [22477312/26365952 (85%)] Avg Boundaries (per batch): 18.955 Boundary Ratio: 0.097 Contrastive_loss: 1.6517 (2.5770) Boundary_loss: 0.013572 (0.014778) Loss: 1.6653 (2.5917) +2025-08-20,23:29:51 | INFO | Train Epoch: 0 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 1.6216 (2.5748) Boundary_loss: 0.013446 (0.014775) Loss: 1.6351 (2.5896) +2025-08-20,23:30:50 | INFO | Train Epoch: 0 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.852 Boundary Ratio: 0.101 Contrastive_loss: 1.6656 (2.5727) Boundary_loss: 0.013466 (0.014772) Loss: 1.6790 (2.5875) +2025-08-20,23:31:50 | INFO | Train Epoch: 0 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 1.6768 (2.5707) Boundary_loss: 0.013514 (0.014769) Loss: 1.6903 (2.5855) +2025-08-20,23:32:49 | INFO | Train Epoch: 0 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 1.6793 (2.5687) Boundary_loss: 0.013491 (0.014766) Loss: 1.6928 (2.5835) +2025-08-20,23:33:48 | INFO | Train Epoch: 0 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 1.6559 (2.5667) Boundary_loss: 0.013401 (0.014763) Loss: 1.6693 (2.5814) +2025-08-20,23:34:47 | INFO | Train Epoch: 0 [22784512/26365952 (86%)] Avg Boundaries (per batch): 18.941 Boundary Ratio: 0.097 Contrastive_loss: 1.7351 (2.5648) Boundary_loss: 0.013310 (0.014760) Loss: 1.7484 (2.5795) +2025-08-20,23:35:46 | INFO | Train Epoch: 0 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.764 Boundary Ratio: 0.101 Contrastive_loss: 1.6154 (2.5627) Boundary_loss: 0.013576 (0.014757) Loss: 1.6290 (2.5774) +2025-08-20,23:36:45 | INFO | Train Epoch: 0 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.688 Boundary Ratio: 0.100 Contrastive_loss: 1.6703 (2.5607) Boundary_loss: 0.013359 (0.014754) Loss: 1.6837 (2.5754) +2025-08-20,23:37:44 | INFO | Train Epoch: 0 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 1.5562 (2.5584) Boundary_loss: 0.013495 (0.014751) Loss: 1.5697 (2.5732) +2025-08-20,23:38:43 | INFO | Train Epoch: 0 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 1.7053 (2.5565) Boundary_loss: 0.013330 (0.014748) Loss: 1.7186 (2.5713) +2025-08-20,23:39:42 | INFO | Train Epoch: 0 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 1.7138 (2.5547) Boundary_loss: 0.013521 (0.014746) Loss: 1.7273 (2.5694) +2025-08-20,23:40:41 | INFO | Train Epoch: 0 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.906 Boundary Ratio: 0.102 Contrastive_loss: 1.5984 (2.5526) Boundary_loss: 0.013463 (0.014743) Loss: 1.6119 (2.5673) +2025-08-20,23:41:41 | INFO | Train Epoch: 0 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 1.6340 (2.5505) Boundary_loss: 0.013421 (0.014740) Loss: 1.6474 (2.5653) +2025-08-20,23:42:40 | INFO | Train Epoch: 0 [23194112/26365952 (88%)] Avg Boundaries (per batch): 18.930 Boundary Ratio: 0.097 Contrastive_loss: 1.5869 (2.5484) Boundary_loss: 0.013439 (0.014737) Loss: 1.6003 (2.5631) +2025-08-20,23:43:39 | INFO | Train Epoch: 0 [23245312/26365952 (88%)] Avg Boundaries (per batch): 18.795 Boundary Ratio: 0.096 Contrastive_loss: 1.6139 (2.5463) Boundary_loss: 0.013341 (0.014734) Loss: 1.6272 (2.5611) +2025-08-20,23:44:38 | INFO | Train Epoch: 0 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 1.5667 (2.5442) Boundary_loss: 0.013431 (0.014731) Loss: 1.5801 (2.5589) +2025-08-20,23:45:37 | INFO | Train Epoch: 0 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.004 Boundary Ratio: 0.097 Contrastive_loss: 1.7171 (2.5424) Boundary_loss: 0.013449 (0.014728) Loss: 1.7306 (2.5571) +2025-08-20,23:46:36 | INFO | Train Epoch: 0 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 1.5838 (2.5403) Boundary_loss: 0.013328 (0.014725) Loss: 1.5971 (2.5550) +2025-08-20,23:47:35 | INFO | Train Epoch: 0 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 1.4260 (2.5379) Boundary_loss: 0.013217 (0.014722) Loss: 1.4392 (2.5526) +2025-08-20,23:48:35 | INFO | Train Epoch: 0 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 1.4546 (2.5355) Boundary_loss: 0.013249 (0.014719) Loss: 1.4679 (2.5502) +2025-08-20,23:49:34 | INFO | Train Epoch: 0 [23552512/26365952 (89%)] Avg Boundaries (per batch): 18.861 Boundary Ratio: 0.096 Contrastive_loss: 1.5886 (2.5335) Boundary_loss: 0.013550 (0.014716) Loss: 1.6022 (2.5482) +2025-08-20,23:50:33 | INFO | Train Epoch: 0 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 1.6578 (2.5316) Boundary_loss: 0.013450 (0.014713) Loss: 1.6712 (2.5463) +2025-08-20,23:51:32 | INFO | Train Epoch: 0 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.551 Boundary Ratio: 0.100 Contrastive_loss: 1.8126 (2.5300) Boundary_loss: 0.013287 (0.014710) Loss: 1.8259 (2.5447) +2025-08-20,23:52:31 | INFO | Train Epoch: 0 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 1.6300 (2.5281) Boundary_loss: 0.013333 (0.014707) Loss: 1.6433 (2.5428) +2025-08-20,23:53:30 | INFO | Train Epoch: 0 [23757312/26365952 (90%)] Avg Boundaries (per batch): 18.750 Boundary Ratio: 0.096 Contrastive_loss: 1.5364 (2.5259) Boundary_loss: 0.013411 (0.014705) Loss: 1.5498 (2.5406) +2025-08-20,23:54:29 | INFO | Train Epoch: 0 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 1.6013 (2.5240) Boundary_loss: 0.013424 (0.014702) Loss: 1.6147 (2.5387) +2025-08-20,23:55:28 | INFO | Train Epoch: 0 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.799 Boundary Ratio: 0.101 Contrastive_loss: 1.4091 (2.5216) Boundary_loss: 0.013468 (0.014699) Loss: 1.4225 (2.5363) +2025-08-20,23:56:27 | INFO | Train Epoch: 0 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 1.5885 (2.5196) Boundary_loss: 0.013592 (0.014697) Loss: 1.6021 (2.5343) +2025-08-20,23:57:26 | INFO | Train Epoch: 0 [23962112/26365952 (91%)] Avg Boundaries (per batch): 20.121 Boundary Ratio: 0.103 Contrastive_loss: 1.7340 (2.5179) Boundary_loss: 0.013491 (0.014694) Loss: 1.7475 (2.5326) +2025-08-20,23:58:25 | INFO | Train Epoch: 0 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.771 Boundary Ratio: 0.101 Contrastive_loss: 1.6263 (2.5160) Boundary_loss: 0.013399 (0.014691) Loss: 1.6397 (2.5307) +2025-08-20,23:59:25 | INFO | Train Epoch: 0 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.754 Boundary Ratio: 0.101 Contrastive_loss: 1.6786 (2.5142) Boundary_loss: 0.013451 (0.014689) Loss: 1.6920 (2.5289) +2025-08-21,00:00:24 | INFO | Train Epoch: 0 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 1.6037 (2.5123) Boundary_loss: 0.013427 (0.014686) Loss: 1.6171 (2.5270) +2025-08-21,00:01:23 | INFO | Train Epoch: 0 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 1.6103 (2.5104) Boundary_loss: 0.013280 (0.014683) Loss: 1.6236 (2.5251) +2025-08-21,00:02:22 | INFO | Train Epoch: 0 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 1.5519 (2.5084) Boundary_loss: 0.013465 (0.014681) Loss: 1.5654 (2.5230) +2025-08-21,00:03:21 | INFO | Train Epoch: 0 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 1.5238 (2.5063) Boundary_loss: 0.013503 (0.014678) Loss: 1.5374 (2.5210) +2025-08-21,00:04:20 | INFO | Train Epoch: 0 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 1.5230 (2.5042) Boundary_loss: 0.013348 (0.014675) Loss: 1.5363 (2.5189) +2025-08-21,00:05:19 | INFO | Train Epoch: 0 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 1.6801 (2.5025) Boundary_loss: 0.013425 (0.014673) Loss: 1.6935 (2.5172) +2025-08-21,00:06:19 | INFO | Train Epoch: 0 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 1.5640 (2.5005) Boundary_loss: 0.013414 (0.014670) Loss: 1.5774 (2.5152) +2025-08-21,00:07:18 | INFO | Train Epoch: 0 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.697 Boundary Ratio: 0.100 Contrastive_loss: 1.5566 (2.4986) Boundary_loss: 0.013508 (0.014668) Loss: 1.5701 (2.5132) +2025-08-21,00:08:17 | INFO | Train Epoch: 0 [24525312/26365952 (93%)] Avg Boundaries (per batch): 18.693 Boundary Ratio: 0.095 Contrastive_loss: 1.7201 (2.4969) Boundary_loss: 0.013401 (0.014665) Loss: 1.7335 (2.5116) +2025-08-21,00:09:16 | INFO | Train Epoch: 0 [24576512/26365952 (93%)] Avg Boundaries (per batch): 18.922 Boundary Ratio: 0.097 Contrastive_loss: 1.5366 (2.4949) Boundary_loss: 0.013472 (0.014663) Loss: 1.5501 (2.5096) +2025-08-21,00:10:15 | INFO | Train Epoch: 0 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 1.5374 (2.4930) Boundary_loss: 0.013323 (0.014660) Loss: 1.5507 (2.5076) +2025-08-21,00:11:14 | INFO | Train Epoch: 0 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 1.7815 (2.4915) Boundary_loss: 0.013609 (0.014658) Loss: 1.7951 (2.5061) +2025-08-21,00:12:13 | INFO | Train Epoch: 0 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 1.5082 (2.4895) Boundary_loss: 0.013511 (0.014655) Loss: 1.5217 (2.5041) +2025-08-21,00:13:12 | INFO | Train Epoch: 0 [24781312/26365952 (94%)] Avg Boundaries (per batch): 18.895 Boundary Ratio: 0.096 Contrastive_loss: 1.6540 (2.4877) Boundary_loss: 0.013372 (0.014653) Loss: 1.6674 (2.5024) +2025-08-21,00:14:11 | INFO | Train Epoch: 0 [24832512/26365952 (94%)] Avg Boundaries (per batch): 18.988 Boundary Ratio: 0.097 Contrastive_loss: 1.7289 (2.4862) Boundary_loss: 0.013479 (0.014650) Loss: 1.7424 (2.5008) +2025-08-21,00:15:10 | INFO | Train Epoch: 0 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.594 Boundary Ratio: 0.100 Contrastive_loss: 1.6677 (2.4845) Boundary_loss: 0.013416 (0.014648) Loss: 1.6811 (2.4991) +2025-08-21,00:16:09 | INFO | Train Epoch: 0 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 1.4730 (2.4824) Boundary_loss: 0.013507 (0.014645) Loss: 1.4865 (2.4971) +2025-08-21,00:17:08 | INFO | Train Epoch: 0 [24986112/26365952 (95%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 1.6288 (2.4807) Boundary_loss: 0.013353 (0.014643) Loss: 1.6422 (2.4953) +2025-08-21,00:18:07 | INFO | Train Epoch: 0 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.701 Boundary Ratio: 0.101 Contrastive_loss: 1.6103 (2.4789) Boundary_loss: 0.013420 (0.014640) Loss: 1.6237 (2.4935) +2025-08-21,00:19:06 | INFO | Train Epoch: 0 [25088512/26365952 (95%)] Avg Boundaries (per batch): 18.879 Boundary Ratio: 0.096 Contrastive_loss: 1.6198 (2.4771) Boundary_loss: 0.013397 (0.014638) Loss: 1.6332 (2.4918) +2025-08-21,00:20:05 | INFO | Train Epoch: 0 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.617 Boundary Ratio: 0.100 Contrastive_loss: 1.5623 (2.4753) Boundary_loss: 0.013502 (0.014635) Loss: 1.5758 (2.4899) +2025-08-21,00:21:05 | INFO | Train Epoch: 0 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.756 Boundary Ratio: 0.101 Contrastive_loss: 1.3684 (2.4730) Boundary_loss: 0.013342 (0.014633) Loss: 1.3818 (2.4877) +2025-08-21,00:22:04 | INFO | Train Epoch: 0 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 1.4156 (2.4709) Boundary_loss: 0.013290 (0.014630) Loss: 1.4289 (2.4855) +2025-08-21,00:23:03 | INFO | Train Epoch: 0 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.693 Boundary Ratio: 0.100 Contrastive_loss: 1.6113 (2.4692) Boundary_loss: 0.013433 (0.014628) Loss: 1.6247 (2.4838) +2025-08-21,00:24:02 | INFO | Train Epoch: 0 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 1.5444 (2.4673) Boundary_loss: 0.013427 (0.014625) Loss: 1.5578 (2.4819) +2025-08-21,00:25:01 | INFO | Train Epoch: 0 [25395712/26365952 (96%)] Avg Boundaries (per batch): 18.932 Boundary Ratio: 0.097 Contrastive_loss: 1.5769 (2.4655) Boundary_loss: 0.013386 (0.014623) Loss: 1.5903 (2.4801) +2025-08-21,00:26:00 | INFO | Train Epoch: 0 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 1.5408 (2.4637) Boundary_loss: 0.013326 (0.014620) Loss: 1.5541 (2.4783) +2025-08-21,00:26:59 | INFO | Train Epoch: 0 [25498112/26365952 (97%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 1.5280 (2.4618) Boundary_loss: 0.013437 (0.014618) Loss: 1.5414 (2.4764) +2025-08-21,00:27:58 | INFO | Train Epoch: 0 [25549312/26365952 (97%)] Avg Boundaries (per batch): 18.701 Boundary Ratio: 0.095 Contrastive_loss: 1.5658 (2.4600) Boundary_loss: 0.013398 (0.014615) Loss: 1.5792 (2.4746) +2025-08-21,00:28:57 | INFO | Train Epoch: 0 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 1.4828 (2.4580) Boundary_loss: 0.013352 (0.014613) Loss: 1.4962 (2.4726) +2025-08-21,00:29:56 | INFO | Train Epoch: 0 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 1.5656 (2.4563) Boundary_loss: 0.013308 (0.014610) Loss: 1.5789 (2.4709) +2025-08-21,00:30:55 | INFO | Train Epoch: 0 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 1.6321 (2.4546) Boundary_loss: 0.013293 (0.014607) Loss: 1.6454 (2.4692) +2025-08-21,00:31:54 | INFO | Train Epoch: 0 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 1.6378 (2.4530) Boundary_loss: 0.013235 (0.014605) Loss: 1.6510 (2.4676) +2025-08-21,00:32:53 | INFO | Train Epoch: 0 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 1.5909 (2.4513) Boundary_loss: 0.013388 (0.014602) Loss: 1.6043 (2.4659) +2025-08-21,00:33:53 | INFO | Train Epoch: 0 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.871 Boundary Ratio: 0.101 Contrastive_loss: 1.4824 (2.4494) Boundary_loss: 0.013508 (0.014600) Loss: 1.4959 (2.4640) +2025-08-21,00:34:52 | INFO | Train Epoch: 0 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 1.5932 (2.4477) Boundary_loss: 0.013457 (0.014598) Loss: 1.6066 (2.4623) +2025-08-21,00:35:51 | INFO | Train Epoch: 0 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 1.7668 (2.4463) Boundary_loss: 0.013264 (0.014595) Loss: 1.7801 (2.4609) +2025-08-21,00:36:50 | INFO | Train Epoch: 0 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 1.4916 (2.4445) Boundary_loss: 0.013265 (0.014593) Loss: 1.5049 (2.4591) +2025-08-21,00:37:49 | INFO | Train Epoch: 0 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.725 Boundary Ratio: 0.101 Contrastive_loss: 1.5978 (2.4428) Boundary_loss: 0.013469 (0.014590) Loss: 1.6112 (2.4574) +2025-08-21,00:38:48 | INFO | Train Epoch: 0 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.596 Boundary Ratio: 0.100 Contrastive_loss: 1.4733 (2.4409) Boundary_loss: 0.013441 (0.014588) Loss: 1.4867 (2.4555) +2025-08-21,00:39:47 | INFO | Train Epoch: 0 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 1.6002 (2.4393) Boundary_loss: 0.013245 (0.014586) Loss: 1.6135 (2.4539) +2025-08-21,00:40:46 | INFO | Train Epoch: 0 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 1.5768 (2.4376) Boundary_loss: 0.013334 (0.014583) Loss: 1.5901 (2.4522) +2025-08-21,00:41:45 | INFO | Train Epoch: 0 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.920 Boundary Ratio: 0.102 Contrastive_loss: 1.6348 (2.4360) Boundary_loss: 0.013301 (0.014581) Loss: 1.6482 (2.4506) +2025-08-21,00:42:45 | INFO | Train Epoch: 0 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.711 Boundary Ratio: 0.101 Contrastive_loss: 1.5744 (2.4344) Boundary_loss: 0.013530 (0.014579) Loss: 1.5879 (2.4489) +2025-08-21,00:43:41 | INFO | Train Epoch: 0 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 1.5954 (2.4327) Boundary_loss: 0.013301 (0.014576) Loss: 1.6087 (2.4473) +2025-08-21,00:43:41 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-21,00:43:41 | INFO | [Epoch 0] Average Step Time: 0.604s | Average GPU Memory: 33.9 GB +2025-08-21,00:43:41 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-21,00:43:41 | INFO | Starting zero-shot imagenet. +2025-08-21,00:43:41 | INFO | Building zero-shot classifier +2025-08-21,00:43:50 | INFO | Using classifier +2025-08-21,00:44:35 | INFO | Finished zero-shot imagenet. +2025-08-21,00:44:35 | INFO | Eval Epoch: 1 imagenet-zeroshot-val-top1: 0.1308 imagenet-zeroshot-val-top5: 0.3037 +2025-08-21,00:44:36 | INFO | Start epoch 1 +2025-08-21,00:44:39 | INFO | Train Epoch: 1 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 1.5600 (1.5600) Boundary_loss: 0.013352 (0.013352) Loss: 1.5734 (1.5734) +2025-08-21,00:45:38 | INFO | Train Epoch: 1 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.580 Boundary Ratio: 0.100 Contrastive_loss: 1.6869 (1.6235) Boundary_loss: 0.013259 (0.013306) Loss: 1.7002 (1.6368) +2025-08-21,00:46:37 | INFO | Train Epoch: 1 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 18.840 Boundary Ratio: 0.096 Contrastive_loss: 1.2261 (1.4910) Boundary_loss: 0.013432 (0.013348) Loss: 1.2395 (1.5044) +2025-08-21,00:47:36 | INFO | Train Epoch: 1 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 1.5313 (1.5011) Boundary_loss: 0.013425 (0.013367) Loss: 1.5447 (1.5144) +2025-08-21,00:48:35 | INFO | Train Epoch: 1 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 1.5065 (1.5022) Boundary_loss: 0.013366 (0.013367) Loss: 1.5198 (1.5155) +2025-08-21,00:49:34 | INFO | Train Epoch: 1 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.857 Boundary Ratio: 0.101 Contrastive_loss: 1.3624 (1.4789) Boundary_loss: 0.013493 (0.013388) Loss: 1.3759 (1.4923) +2025-08-21,00:50:33 | INFO | Train Epoch: 1 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 1.5725 (1.4922) Boundary_loss: 0.013372 (0.013386) Loss: 1.5859 (1.5056) +2025-08-21,00:51:32 | INFO | Train Epoch: 1 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 1.6185 (1.5080) Boundary_loss: 0.013523 (0.013403) Loss: 1.6320 (1.5214) +2025-08-21,00:52:31 | INFO | Train Epoch: 1 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 1.4610 (1.5028) Boundary_loss: 0.013310 (0.013393) Loss: 1.4743 (1.5162) +2025-08-21,00:53:30 | INFO | Train Epoch: 1 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 1.3900 (1.4915) Boundary_loss: 0.013418 (0.013395) Loss: 1.4034 (1.5049) +2025-08-21,00:54:30 | INFO | Train Epoch: 1 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 18.559 Boundary Ratio: 0.095 Contrastive_loss: 1.4231 (1.4853) Boundary_loss: 0.013419 (0.013397) Loss: 1.4365 (1.4987) +2025-08-21,00:55:29 | INFO | Train Epoch: 1 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 18.805 Boundary Ratio: 0.096 Contrastive_loss: 1.6441 (1.4985) Boundary_loss: 0.013408 (0.013398) Loss: 1.6575 (1.5119) +2025-08-21,00:56:28 | INFO | Train Epoch: 1 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 18.760 Boundary Ratio: 0.096 Contrastive_loss: 1.4935 (1.4981) Boundary_loss: 0.013396 (0.013398) Loss: 1.5069 (1.5115) +2025-08-21,00:57:27 | INFO | Train Epoch: 1 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 1.3346 (1.4865) Boundary_loss: 0.013231 (0.013386) Loss: 1.3478 (1.4998) +2025-08-21,00:58:26 | INFO | Train Epoch: 1 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 1.5752 (1.4924) Boundary_loss: 0.013402 (0.013387) Loss: 1.5886 (1.5058) +2025-08-21,00:59:25 | INFO | Train Epoch: 1 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 1.5342 (1.4950) Boundary_loss: 0.013532 (0.013396) Loss: 1.5477 (1.5084) +2025-08-21,01:00:24 | INFO | Train Epoch: 1 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 18.840 Boundary Ratio: 0.096 Contrastive_loss: 1.5527 (1.4984) Boundary_loss: 0.013524 (0.013404) Loss: 1.5662 (1.5118) +2025-08-21,01:01:23 | INFO | Train Epoch: 1 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 1.3013 (1.4874) Boundary_loss: 0.013378 (0.013402) Loss: 1.3147 (1.5008) +2025-08-21,01:02:22 | INFO | Train Epoch: 1 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 18.770 Boundary Ratio: 0.096 Contrastive_loss: 1.4756 (1.4868) Boundary_loss: 0.013510 (0.013408) Loss: 1.4891 (1.5002) +2025-08-21,01:03:21 | INFO | Train Epoch: 1 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 1.5553 (1.4902) Boundary_loss: 0.013398 (0.013407) Loss: 1.5687 (1.5036) +2025-08-21,01:04:21 | INFO | Train Epoch: 1 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 1.5860 (1.4948) Boundary_loss: 0.013416 (0.013408) Loss: 1.5994 (1.5082) +2025-08-21,01:05:20 | INFO | Train Epoch: 1 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.732 Boundary Ratio: 0.101 Contrastive_loss: 1.5087 (1.4954) Boundary_loss: 0.013384 (0.013407) Loss: 1.5221 (1.5088) +2025-08-21,01:06:19 | INFO | Train Epoch: 1 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 1.5229 (1.4966) Boundary_loss: 0.013414 (0.013407) Loss: 1.5364 (1.5100) +2025-08-21,01:07:18 | INFO | Train Epoch: 1 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 1.4918 (1.4964) Boundary_loss: 0.013268 (0.013401) Loss: 1.5051 (1.5098) +2025-08-21,01:08:17 | INFO | Train Epoch: 1 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 1.3915 (1.4922) Boundary_loss: 0.013343 (0.013399) Loss: 1.4048 (1.5056) +2025-08-21,01:09:16 | INFO | Train Epoch: 1 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 1.3362 (1.4862) Boundary_loss: 0.013334 (0.013396) Loss: 1.3496 (1.4996) +2025-08-21,01:10:15 | INFO | Train Epoch: 1 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 1.3026 (1.4794) Boundary_loss: 0.013252 (0.013391) Loss: 1.3158 (1.4928) +2025-08-21,01:11:14 | INFO | Train Epoch: 1 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 1.3235 (1.4739) Boundary_loss: 0.013480 (0.013394) Loss: 1.3370 (1.4872) +2025-08-21,01:12:13 | INFO | Train Epoch: 1 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 1.5647 (1.4770) Boundary_loss: 0.013372 (0.013393) Loss: 1.5780 (1.4904) +2025-08-21,01:13:13 | INFO | Train Epoch: 1 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.578 Boundary Ratio: 0.100 Contrastive_loss: 1.5663 (1.4800) Boundary_loss: 0.013559 (0.013399) Loss: 1.5799 (1.4934) +2025-08-21,01:14:12 | INFO | Train Epoch: 1 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.699 Boundary Ratio: 0.101 Contrastive_loss: 1.5385 (1.4819) Boundary_loss: 0.013311 (0.013396) Loss: 1.5518 (1.4952) +2025-08-21,01:15:11 | INFO | Train Epoch: 1 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 1.5475 (1.4839) Boundary_loss: 0.013434 (0.013397) Loss: 1.5609 (1.4973) +2025-08-21,01:16:10 | INFO | Train Epoch: 1 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 1.4614 (1.4832) Boundary_loss: 0.013423 (0.013398) Loss: 1.4748 (1.4966) +2025-08-21,01:17:09 | INFO | Train Epoch: 1 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.766 Boundary Ratio: 0.101 Contrastive_loss: 1.5408 (1.4849) Boundary_loss: 0.013451 (0.013400) Loss: 1.5542 (1.4983) +2025-08-21,01:18:08 | INFO | Train Epoch: 1 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 1.4254 (1.4832) Boundary_loss: 0.013379 (0.013399) Loss: 1.4388 (1.4966) +2025-08-21,01:19:08 | INFO | Train Epoch: 1 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 18.918 Boundary Ratio: 0.097 Contrastive_loss: 1.3016 (1.4782) Boundary_loss: 0.013544 (0.013403) Loss: 1.3152 (1.4916) +2025-08-21,01:20:07 | INFO | Train Epoch: 1 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 1.4009 (1.4761) Boundary_loss: 0.013263 (0.013399) Loss: 1.4142 (1.4895) +2025-08-21,01:21:06 | INFO | Train Epoch: 1 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 18.863 Boundary Ratio: 0.096 Contrastive_loss: 1.7307 (1.4828) Boundary_loss: 0.013424 (0.013400) Loss: 1.7441 (1.4962) +2025-08-21,01:22:05 | INFO | Train Epoch: 1 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.814 Boundary Ratio: 0.101 Contrastive_loss: 1.4208 (1.4812) Boundary_loss: 0.013486 (0.013402) Loss: 1.4343 (1.4946) +2025-08-21,01:23:04 | INFO | Train Epoch: 1 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.596 Boundary Ratio: 0.100 Contrastive_loss: 1.4532 (1.4805) Boundary_loss: 0.013415 (0.013402) Loss: 1.4666 (1.4939) +2025-08-21,01:24:03 | INFO | Train Epoch: 1 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 1.5648 (1.4825) Boundary_loss: 0.013500 (0.013405) Loss: 1.5783 (1.4960) +2025-08-21,01:25:02 | INFO | Train Epoch: 1 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 1.3202 (1.4787) Boundary_loss: 0.013127 (0.013398) Loss: 1.3334 (1.4921) +2025-08-21,01:26:01 | INFO | Train Epoch: 1 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 1.4937 (1.4790) Boundary_loss: 0.013390 (0.013398) Loss: 1.5070 (1.4924) +2025-08-21,01:27:00 | INFO | Train Epoch: 1 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 1.2692 (1.4743) Boundary_loss: 0.013375 (0.013398) Loss: 1.2825 (1.4877) +2025-08-21,01:28:00 | INFO | Train Epoch: 1 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 1.4574 (1.4739) Boundary_loss: 0.013318 (0.013396) Loss: 1.4708 (1.4873) +2025-08-21,01:28:59 | INFO | Train Epoch: 1 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.828 Boundary Ratio: 0.101 Contrastive_loss: 1.5065 (1.4746) Boundary_loss: 0.013380 (0.013395) Loss: 1.5199 (1.4880) +2025-08-21,01:29:58 | INFO | Train Epoch: 1 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 1.5184 (1.4755) Boundary_loss: 0.013349 (0.013394) Loss: 1.5317 (1.4889) +2025-08-21,01:30:57 | INFO | Train Epoch: 1 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.779 Boundary Ratio: 0.101 Contrastive_loss: 1.3895 (1.4737) Boundary_loss: 0.013472 (0.013396) Loss: 1.4030 (1.4871) +2025-08-21,01:31:56 | INFO | Train Epoch: 1 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 1.3325 (1.4709) Boundary_loss: 0.013330 (0.013395) Loss: 1.3459 (1.4842) +2025-08-21,01:32:55 | INFO | Train Epoch: 1 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.920 Boundary Ratio: 0.102 Contrastive_loss: 1.4744 (1.4709) Boundary_loss: 0.013429 (0.013395) Loss: 1.4878 (1.4843) +2025-08-21,01:33:54 | INFO | Train Epoch: 1 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 1.3404 (1.4684) Boundary_loss: 0.013315 (0.013394) Loss: 1.3537 (1.4818) +2025-08-21,01:34:53 | INFO | Train Epoch: 1 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 1.4002 (1.4671) Boundary_loss: 0.013268 (0.013391) Loss: 1.4135 (1.4804) +2025-08-21,01:35:52 | INFO | Train Epoch: 1 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 1.3712 (1.4652) Boundary_loss: 0.013346 (0.013391) Loss: 1.3846 (1.4786) +2025-08-21,01:36:52 | INFO | Train Epoch: 1 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 1.4798 (1.4655) Boundary_loss: 0.013464 (0.013392) Loss: 1.4933 (1.4789) +2025-08-21,01:37:51 | INFO | Train Epoch: 1 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 1.5162 (1.4664) Boundary_loss: 0.013235 (0.013389) Loss: 1.5295 (1.4798) +2025-08-21,01:38:50 | INFO | Train Epoch: 1 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 1.4393 (1.4660) Boundary_loss: 0.013293 (0.013387) Loss: 1.4526 (1.4793) +2025-08-21,01:39:49 | INFO | Train Epoch: 1 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 18.391 Boundary Ratio: 0.094 Contrastive_loss: 1.3636 (1.4642) Boundary_loss: 0.013389 (0.013387) Loss: 1.3770 (1.4775) +2025-08-21,01:40:48 | INFO | Train Epoch: 1 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 1.5055 (1.4649) Boundary_loss: 0.013395 (0.013387) Loss: 1.5189 (1.4783) +2025-08-21,01:41:47 | INFO | Train Epoch: 1 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 1.4287 (1.4643) Boundary_loss: 0.013494 (0.013389) Loss: 1.4422 (1.4776) +2025-08-21,01:42:46 | INFO | Train Epoch: 1 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 1.4796 (1.4645) Boundary_loss: 0.013204 (0.013386) Loss: 1.4928 (1.4779) +2025-08-21,01:43:45 | INFO | Train Epoch: 1 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.836 Boundary Ratio: 0.101 Contrastive_loss: 1.3308 (1.4623) Boundary_loss: 0.013309 (0.013385) Loss: 1.3441 (1.4757) +2025-08-21,01:44:45 | INFO | Train Epoch: 1 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 1.3247 (1.4601) Boundary_loss: 0.013396 (0.013385) Loss: 1.3381 (1.4735) +2025-08-21,01:45:44 | INFO | Train Epoch: 1 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 1.3941 (1.4591) Boundary_loss: 0.013436 (0.013386) Loss: 1.4076 (1.4724) +2025-08-21,01:46:43 | INFO | Train Epoch: 1 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 18.934 Boundary Ratio: 0.097 Contrastive_loss: 1.4859 (1.4595) Boundary_loss: 0.013215 (0.013383) Loss: 1.4991 (1.4729) +2025-08-21,01:47:42 | INFO | Train Epoch: 1 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 1.4574 (1.4594) Boundary_loss: 0.013372 (0.013383) Loss: 1.4707 (1.4728) +2025-08-21,01:48:41 | INFO | Train Epoch: 1 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 1.4810 (1.4598) Boundary_loss: 0.013223 (0.013381) Loss: 1.4942 (1.4731) +2025-08-21,01:49:40 | INFO | Train Epoch: 1 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 18.982 Boundary Ratio: 0.097 Contrastive_loss: 1.5094 (1.4605) Boundary_loss: 0.013421 (0.013381) Loss: 1.5228 (1.4739) +2025-08-21,01:50:39 | INFO | Train Epoch: 1 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 1.3920 (1.4595) Boundary_loss: 0.013384 (0.013381) Loss: 1.4054 (1.4729) +2025-08-21,01:51:39 | INFO | Train Epoch: 1 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 1.3188 (1.4575) Boundary_loss: 0.013512 (0.013383) Loss: 1.3323 (1.4708) +2025-08-21,01:52:38 | INFO | Train Epoch: 1 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 18.504 Boundary Ratio: 0.094 Contrastive_loss: 1.2805 (1.4549) Boundary_loss: 0.013359 (0.013383) Loss: 1.2938 (1.4683) +2025-08-21,01:53:37 | INFO | Train Epoch: 1 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 1.4146 (1.4544) Boundary_loss: 0.013406 (0.013383) Loss: 1.4280 (1.4677) +2025-08-21,01:54:36 | INFO | Train Epoch: 1 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.688 Boundary Ratio: 0.100 Contrastive_loss: 1.3719 (1.4532) Boundary_loss: 0.013318 (0.013382) Loss: 1.3852 (1.4666) +2025-08-21,01:55:35 | INFO | Train Epoch: 1 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 18.604 Boundary Ratio: 0.095 Contrastive_loss: 1.4247 (1.4528) Boundary_loss: 0.013527 (0.013384) Loss: 1.4382 (1.4662) +2025-08-21,01:56:34 | INFO | Train Epoch: 1 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 1.4443 (1.4527) Boundary_loss: 0.013354 (0.013384) Loss: 1.4576 (1.4661) +2025-08-21,01:57:33 | INFO | Train Epoch: 1 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 1.5269 (1.4537) Boundary_loss: 0.013328 (0.013383) Loss: 1.5402 (1.4671) +2025-08-21,01:58:33 | INFO | Train Epoch: 1 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 1.5641 (1.4552) Boundary_loss: 0.013264 (0.013381) Loss: 1.5774 (1.4685) +2025-08-21,01:59:32 | INFO | Train Epoch: 1 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 1.5008 (1.4557) Boundary_loss: 0.013451 (0.013382) Loss: 1.5142 (1.4691) +2025-08-21,02:00:31 | INFO | Train Epoch: 1 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.877 Boundary Ratio: 0.101 Contrastive_loss: 1.2478 (1.4531) Boundary_loss: 0.013332 (0.013382) Loss: 1.2611 (1.4665) +2025-08-21,02:01:30 | INFO | Train Epoch: 1 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 1.4642 (1.4532) Boundary_loss: 0.013242 (0.013380) Loss: 1.4774 (1.4666) +2025-08-21,02:02:29 | INFO | Train Epoch: 1 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 1.2857 (1.4511) Boundary_loss: 0.013392 (0.013380) Loss: 1.2991 (1.4645) +2025-08-21,02:03:28 | INFO | Train Epoch: 1 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 1.4061 (1.4506) Boundary_loss: 0.013281 (0.013379) Loss: 1.4193 (1.4640) +2025-08-21,02:04:28 | INFO | Train Epoch: 1 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 1.4161 (1.4502) Boundary_loss: 0.013208 (0.013377) Loss: 1.4293 (1.4635) +2025-08-21,02:05:27 | INFO | Train Epoch: 1 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 1.2843 (1.4482) Boundary_loss: 0.013459 (0.013378) Loss: 1.2977 (1.4615) +2025-08-21,02:06:26 | INFO | Train Epoch: 1 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 18.979 Boundary Ratio: 0.097 Contrastive_loss: 1.3751 (1.4473) Boundary_loss: 0.013252 (0.013376) Loss: 1.3884 (1.4607) +2025-08-21,02:07:25 | INFO | Train Epoch: 1 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 1.3765 (1.4464) Boundary_loss: 0.013417 (0.013377) Loss: 1.3899 (1.4598) +2025-08-21,02:08:24 | INFO | Train Epoch: 1 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 1.4697 (1.4467) Boundary_loss: 0.013262 (0.013375) Loss: 1.4830 (1.4601) +2025-08-21,02:09:23 | INFO | Train Epoch: 1 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 1.1992 (1.4439) Boundary_loss: 0.013278 (0.013374) Loss: 1.2125 (1.4572) +2025-08-21,02:10:22 | INFO | Train Epoch: 1 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.674 Boundary Ratio: 0.100 Contrastive_loss: 1.2949 (1.4422) Boundary_loss: 0.013415 (0.013375) Loss: 1.3083 (1.4556) +2025-08-21,02:11:21 | INFO | Train Epoch: 1 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 1.3381 (1.4410) Boundary_loss: 0.013277 (0.013374) Loss: 1.3513 (1.4544) +2025-08-21,02:12:21 | INFO | Train Epoch: 1 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 1.4425 (1.4410) Boundary_loss: 0.013345 (0.013373) Loss: 1.4559 (1.4544) +2025-08-21,02:13:20 | INFO | Train Epoch: 1 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 1.3404 (1.4399) Boundary_loss: 0.013255 (0.013372) Loss: 1.3536 (1.4533) +2025-08-21,02:14:19 | INFO | Train Epoch: 1 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.578 Boundary Ratio: 0.100 Contrastive_loss: 1.5506 (1.4411) Boundary_loss: 0.013277 (0.013371) Loss: 1.5639 (1.4545) +2025-08-21,02:15:18 | INFO | Train Epoch: 1 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 1.3743 (1.4404) Boundary_loss: 0.013330 (0.013371) Loss: 1.3876 (1.4538) +2025-08-21,02:16:17 | INFO | Train Epoch: 1 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 18.965 Boundary Ratio: 0.097 Contrastive_loss: 1.1947 (1.4378) Boundary_loss: 0.013579 (0.013373) Loss: 1.2083 (1.4512) +2025-08-21,02:17:16 | INFO | Train Epoch: 1 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 18.930 Boundary Ratio: 0.097 Contrastive_loss: 1.2721 (1.4360) Boundary_loss: 0.013245 (0.013371) Loss: 1.2854 (1.4494) +2025-08-21,02:18:15 | INFO | Train Epoch: 1 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 1.2681 (1.4343) Boundary_loss: 0.013396 (0.013372) Loss: 1.2815 (1.4477) +2025-08-21,02:19:14 | INFO | Train Epoch: 1 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 18.543 Boundary Ratio: 0.095 Contrastive_loss: 1.4510 (1.4345) Boundary_loss: 0.013395 (0.013372) Loss: 1.4644 (1.4478) +2025-08-21,02:20:13 | INFO | Train Epoch: 1 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 1.3852 (1.4340) Boundary_loss: 0.013347 (0.013372) Loss: 1.3986 (1.4473) +2025-08-21,02:21:13 | INFO | Train Epoch: 1 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 1.2156 (1.4318) Boundary_loss: 0.013387 (0.013372) Loss: 1.2290 (1.4451) +2025-08-21,02:22:12 | INFO | Train Epoch: 1 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 18.717 Boundary Ratio: 0.095 Contrastive_loss: 1.3522 (1.4310) Boundary_loss: 0.013352 (0.013372) Loss: 1.3656 (1.4443) +2025-08-21,02:23:11 | INFO | Train Epoch: 1 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.588 Boundary Ratio: 0.100 Contrastive_loss: 1.2816 (1.4295) Boundary_loss: 0.013250 (0.013370) Loss: 1.2949 (1.4429) +2025-08-21,02:24:10 | INFO | Train Epoch: 1 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 1.3848 (1.4291) Boundary_loss: 0.013300 (0.013370) Loss: 1.3981 (1.4424) +2025-08-21,02:25:09 | INFO | Train Epoch: 1 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 1.4377 (1.4291) Boundary_loss: 0.013420 (0.013370) Loss: 1.4511 (1.4425) +2025-08-21,02:26:08 | INFO | Train Epoch: 1 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 1.3020 (1.4279) Boundary_loss: 0.013329 (0.013370) Loss: 1.3154 (1.4413) +2025-08-21,02:27:07 | INFO | Train Epoch: 1 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 1.1063 (1.4248) Boundary_loss: 0.013393 (0.013370) Loss: 1.1197 (1.4382) +2025-08-21,02:28:06 | INFO | Train Epoch: 1 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 1.3674 (1.4243) Boundary_loss: 0.013235 (0.013369) Loss: 1.3807 (1.4377) +2025-08-21,02:29:05 | INFO | Train Epoch: 1 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 1.4045 (1.4241) Boundary_loss: 0.013411 (0.013369) Loss: 1.4179 (1.4375) +2025-08-21,02:30:05 | INFO | Train Epoch: 1 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 18.908 Boundary Ratio: 0.096 Contrastive_loss: 1.3688 (1.4236) Boundary_loss: 0.013283 (0.013368) Loss: 1.3821 (1.4370) +2025-08-21,02:31:04 | INFO | Train Epoch: 1 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 1.4140 (1.4235) Boundary_loss: 0.013284 (0.013368) Loss: 1.4273 (1.4369) +2025-08-21,02:32:03 | INFO | Train Epoch: 1 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 1.3024 (1.4224) Boundary_loss: 0.013329 (0.013367) Loss: 1.3158 (1.4358) +2025-08-21,02:33:02 | INFO | Train Epoch: 1 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.727 Boundary Ratio: 0.101 Contrastive_loss: 1.3518 (1.4218) Boundary_loss: 0.013336 (0.013367) Loss: 1.3651 (1.4352) +2025-08-21,02:34:01 | INFO | Train Epoch: 1 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 1.3183 (1.4209) Boundary_loss: 0.013286 (0.013366) Loss: 1.3315 (1.4342) +2025-08-21,02:35:00 | INFO | Train Epoch: 1 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 18.809 Boundary Ratio: 0.096 Contrastive_loss: 1.2447 (1.4193) Boundary_loss: 0.013366 (0.013366) Loss: 1.2581 (1.4327) +2025-08-21,02:36:00 | INFO | Train Epoch: 1 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 1.3616 (1.4188) Boundary_loss: 0.013473 (0.013367) Loss: 1.3751 (1.4322) +2025-08-21,02:36:59 | INFO | Train Epoch: 1 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 1.2664 (1.4175) Boundary_loss: 0.013317 (0.013367) Loss: 1.2798 (1.4308) +2025-08-21,02:37:58 | INFO | Train Epoch: 1 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 1.4153 (1.4175) Boundary_loss: 0.013339 (0.013367) Loss: 1.4286 (1.4308) +2025-08-21,02:38:57 | INFO | Train Epoch: 1 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 1.3710 (1.4171) Boundary_loss: 0.013450 (0.013367) Loss: 1.3845 (1.4304) +2025-08-21,02:39:56 | INFO | Train Epoch: 1 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 1.4646 (1.4175) Boundary_loss: 0.013444 (0.013368) Loss: 1.4780 (1.4308) +2025-08-21,02:40:55 | INFO | Train Epoch: 1 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.740 Boundary Ratio: 0.101 Contrastive_loss: 1.2892 (1.4164) Boundary_loss: 0.013341 (0.013368) Loss: 1.3025 (1.4297) +2025-08-21,02:41:54 | INFO | Train Epoch: 1 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 18.312 Boundary Ratio: 0.093 Contrastive_loss: 1.3333 (1.4157) Boundary_loss: 0.013597 (0.013370) Loss: 1.3469 (1.4291) +2025-08-21,02:42:53 | INFO | Train Epoch: 1 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 1.3790 (1.4154) Boundary_loss: 0.013389 (0.013370) Loss: 1.3924 (1.4288) +2025-08-21,02:43:53 | INFO | Train Epoch: 1 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 1.4807 (1.4159) Boundary_loss: 0.013288 (0.013369) Loss: 1.4940 (1.4293) +2025-08-21,02:44:52 | INFO | Train Epoch: 1 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.740 Boundary Ratio: 0.101 Contrastive_loss: 1.3397 (1.4153) Boundary_loss: 0.013252 (0.013368) Loss: 1.3529 (1.4287) +2025-08-21,02:45:51 | INFO | Train Epoch: 1 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 1.4750 (1.4158) Boundary_loss: 0.013262 (0.013367) Loss: 1.4882 (1.4291) +2025-08-21,02:46:50 | INFO | Train Epoch: 1 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 1.3147 (1.4150) Boundary_loss: 0.013113 (0.013365) Loss: 1.3278 (1.4283) +2025-08-21,02:47:49 | INFO | Train Epoch: 1 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 1.4164 (1.4150) Boundary_loss: 0.013362 (0.013365) Loss: 1.4298 (1.4283) +2025-08-21,02:48:48 | INFO | Train Epoch: 1 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 1.3970 (1.4148) Boundary_loss: 0.013476 (0.013366) Loss: 1.4105 (1.4282) +2025-08-21,02:49:47 | INFO | Train Epoch: 1 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 1.4220 (1.4149) Boundary_loss: 0.013266 (0.013365) Loss: 1.4353 (1.4283) +2025-08-21,02:50:46 | INFO | Train Epoch: 1 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 1.4795 (1.4154) Boundary_loss: 0.013257 (0.013364) Loss: 1.4927 (1.4288) +2025-08-21,02:51:45 | INFO | Train Epoch: 1 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 18.967 Boundary Ratio: 0.097 Contrastive_loss: 1.3149 (1.4146) Boundary_loss: 0.013381 (0.013365) Loss: 1.3282 (1.4280) +2025-08-21,02:52:45 | INFO | Train Epoch: 1 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.814 Boundary Ratio: 0.101 Contrastive_loss: 1.2179 (1.4131) Boundary_loss: 0.013310 (0.013364) Loss: 1.2312 (1.4265) +2025-08-21,02:53:44 | INFO | Train Epoch: 1 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 1.3659 (1.4128) Boundary_loss: 0.013292 (0.013364) Loss: 1.3792 (1.4261) +2025-08-21,02:54:43 | INFO | Train Epoch: 1 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 1.3578 (1.4124) Boundary_loss: 0.013358 (0.013364) Loss: 1.3711 (1.4257) +2025-08-21,02:55:42 | INFO | Train Epoch: 1 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 1.3780 (1.4121) Boundary_loss: 0.013427 (0.013364) Loss: 1.3914 (1.4255) +2025-08-21,02:56:41 | INFO | Train Epoch: 1 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 1.2349 (1.4108) Boundary_loss: 0.013403 (0.013364) Loss: 1.2483 (1.4241) +2025-08-21,02:57:40 | INFO | Train Epoch: 1 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 1.3913 (1.4106) Boundary_loss: 0.013317 (0.013364) Loss: 1.4047 (1.4240) +2025-08-21,02:58:39 | INFO | Train Epoch: 1 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 1.3792 (1.4104) Boundary_loss: 0.013212 (0.013363) Loss: 1.3924 (1.4238) +2025-08-21,02:59:38 | INFO | Train Epoch: 1 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 1.4009 (1.4103) Boundary_loss: 0.013274 (0.013362) Loss: 1.4141 (1.4237) +2025-08-21,03:00:38 | INFO | Train Epoch: 1 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 1.4626 (1.4107) Boundary_loss: 0.013484 (0.013363) Loss: 1.4761 (1.4241) +2025-08-21,03:01:37 | INFO | Train Epoch: 1 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 1.1144 (1.4086) Boundary_loss: 0.013370 (0.013363) Loss: 1.1277 (1.4220) +2025-08-21,03:02:36 | INFO | Train Epoch: 1 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.807 Boundary Ratio: 0.101 Contrastive_loss: 1.3467 (1.4082) Boundary_loss: 0.013220 (0.013362) Loss: 1.3599 (1.4215) +2025-08-21,03:03:35 | INFO | Train Epoch: 1 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 1.2721 (1.4072) Boundary_loss: 0.013337 (0.013362) Loss: 1.2855 (1.4206) +2025-08-21,03:04:34 | INFO | Train Epoch: 1 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.828 Boundary Ratio: 0.101 Contrastive_loss: 1.3125 (1.4065) Boundary_loss: 0.013279 (0.013361) Loss: 1.3258 (1.4199) +2025-08-21,03:05:33 | INFO | Train Epoch: 1 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 1.4749 (1.4070) Boundary_loss: 0.013345 (0.013361) Loss: 1.4882 (1.4204) +2025-08-21,03:06:32 | INFO | Train Epoch: 1 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 1.2477 (1.4059) Boundary_loss: 0.013283 (0.013361) Loss: 1.2610 (1.4193) +2025-08-21,03:07:32 | INFO | Train Epoch: 1 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 1.3079 (1.4052) Boundary_loss: 0.013348 (0.013361) Loss: 1.3213 (1.4186) +2025-08-21,03:08:31 | INFO | Train Epoch: 1 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 1.4060 (1.4053) Boundary_loss: 0.013284 (0.013360) Loss: 1.4193 (1.4186) +2025-08-21,03:09:30 | INFO | Train Epoch: 1 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.732 Boundary Ratio: 0.101 Contrastive_loss: 1.2404 (1.4041) Boundary_loss: 0.013356 (0.013360) Loss: 1.2538 (1.4175) +2025-08-21,03:10:29 | INFO | Train Epoch: 1 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 1.4480 (1.4044) Boundary_loss: 0.013458 (0.013361) Loss: 1.4614 (1.4178) +2025-08-21,03:11:28 | INFO | Train Epoch: 1 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.955 Boundary Ratio: 0.102 Contrastive_loss: 1.4797 (1.4049) Boundary_loss: 0.013330 (0.013361) Loss: 1.4930 (1.4183) +2025-08-21,03:12:27 | INFO | Train Epoch: 1 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 1.3390 (1.4045) Boundary_loss: 0.013282 (0.013360) Loss: 1.3523 (1.4179) +2025-08-21,03:13:26 | INFO | Train Epoch: 1 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 20.104 Boundary Ratio: 0.103 Contrastive_loss: 1.5762 (1.4056) Boundary_loss: 0.013551 (0.013361) Loss: 1.5897 (1.4190) +2025-08-21,03:14:25 | INFO | Train Epoch: 1 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.803 Boundary Ratio: 0.101 Contrastive_loss: 1.2417 (1.4046) Boundary_loss: 0.013297 (0.013361) Loss: 1.2550 (1.4179) +2025-08-21,03:15:24 | INFO | Train Epoch: 1 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 1.2951 (1.4038) Boundary_loss: 0.013328 (0.013361) Loss: 1.3084 (1.4172) +2025-08-21,03:16:24 | INFO | Train Epoch: 1 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 1.3790 (1.4037) Boundary_loss: 0.013350 (0.013361) Loss: 1.3923 (1.4170) +2025-08-21,03:17:23 | INFO | Train Epoch: 1 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 1.2818 (1.4029) Boundary_loss: 0.013280 (0.013360) Loss: 1.2951 (1.4163) +2025-08-21,03:18:22 | INFO | Train Epoch: 1 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.752 Boundary Ratio: 0.101 Contrastive_loss: 1.3820 (1.4028) Boundary_loss: 0.013445 (0.013361) Loss: 1.3954 (1.4161) +2025-08-21,03:19:21 | INFO | Train Epoch: 1 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.979 Boundary Ratio: 0.102 Contrastive_loss: 1.3556 (1.4025) Boundary_loss: 0.013483 (0.013361) Loss: 1.3690 (1.4158) +2025-08-21,03:20:20 | INFO | Train Epoch: 1 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 18.957 Boundary Ratio: 0.097 Contrastive_loss: 1.2446 (1.4015) Boundary_loss: 0.013399 (0.013362) Loss: 1.2580 (1.4148) +2025-08-21,03:21:19 | INFO | Train Epoch: 1 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 1.1820 (1.4001) Boundary_loss: 0.013304 (0.013361) Loss: 1.1953 (1.4135) +2025-08-21,03:22:18 | INFO | Train Epoch: 1 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 1.3020 (1.3995) Boundary_loss: 0.013364 (0.013361) Loss: 1.3154 (1.4129) +2025-08-21,03:23:17 | INFO | Train Epoch: 1 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 1.3777 (1.3994) Boundary_loss: 0.013394 (0.013361) Loss: 1.3911 (1.4127) +2025-08-21,03:24:17 | INFO | Train Epoch: 1 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 18.908 Boundary Ratio: 0.096 Contrastive_loss: 1.3742 (1.3992) Boundary_loss: 0.013404 (0.013362) Loss: 1.3876 (1.4126) +2025-08-21,03:25:16 | INFO | Train Epoch: 1 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 1.2943 (1.3986) Boundary_loss: 0.013259 (0.013361) Loss: 1.3075 (1.4119) +2025-08-21,03:26:15 | INFO | Train Epoch: 1 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 1.3953 (1.3985) Boundary_loss: 0.013326 (0.013361) Loss: 1.4086 (1.4119) +2025-08-21,03:27:14 | INFO | Train Epoch: 1 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 1.1725 (1.3972) Boundary_loss: 0.013347 (0.013361) Loss: 1.1859 (1.4105) +2025-08-21,03:28:13 | INFO | Train Epoch: 1 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 1.2222 (1.3961) Boundary_loss: 0.013316 (0.013361) Loss: 1.2355 (1.4095) +2025-08-21,03:29:12 | INFO | Train Epoch: 1 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 1.3944 (1.3961) Boundary_loss: 0.013315 (0.013360) Loss: 1.4077 (1.4095) +2025-08-21,03:30:11 | INFO | Train Epoch: 1 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 18.717 Boundary Ratio: 0.095 Contrastive_loss: 1.1056 (1.3944) Boundary_loss: 0.013316 (0.013360) Loss: 1.1189 (1.4078) +2025-08-21,03:31:10 | INFO | Train Epoch: 1 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 1.3993 (1.3944) Boundary_loss: 0.013276 (0.013360) Loss: 1.4126 (1.4078) +2025-08-21,03:32:09 | INFO | Train Epoch: 1 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 1.0332 (1.3923) Boundary_loss: 0.013239 (0.013359) Loss: 1.0464 (1.4057) +2025-08-21,03:33:09 | INFO | Train Epoch: 1 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 18.912 Boundary Ratio: 0.096 Contrastive_loss: 1.2687 (1.3916) Boundary_loss: 0.013292 (0.013358) Loss: 1.2820 (1.4050) +2025-08-21,03:34:08 | INFO | Train Epoch: 1 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 1.2386 (1.3907) Boundary_loss: 0.013357 (0.013358) Loss: 1.2520 (1.4041) +2025-08-21,03:35:07 | INFO | Train Epoch: 1 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 1.2395 (1.3899) Boundary_loss: 0.013326 (0.013358) Loss: 1.2529 (1.4032) +2025-08-21,03:36:06 | INFO | Train Epoch: 1 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 1.3660 (1.3897) Boundary_loss: 0.013486 (0.013359) Loss: 1.3795 (1.4031) +2025-08-21,03:37:05 | INFO | Train Epoch: 1 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 1.2131 (1.3887) Boundary_loss: 0.013236 (0.013358) Loss: 1.2263 (1.4021) +2025-08-21,03:38:04 | INFO | Train Epoch: 1 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 18.471 Boundary Ratio: 0.094 Contrastive_loss: 1.3628 (1.3886) Boundary_loss: 0.013276 (0.013358) Loss: 1.3761 (1.4019) +2025-08-21,03:39:03 | INFO | Train Epoch: 1 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 1.1071 (1.3870) Boundary_loss: 0.013313 (0.013358) Loss: 1.1204 (1.4003) +2025-08-21,03:40:02 | INFO | Train Epoch: 1 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 1.1396 (1.3856) Boundary_loss: 0.013471 (0.013358) Loss: 1.1531 (1.3990) +2025-08-21,03:41:01 | INFO | Train Epoch: 1 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.785 Boundary Ratio: 0.101 Contrastive_loss: 1.3205 (1.3852) Boundary_loss: 0.013292 (0.013358) Loss: 1.3338 (1.3986) +2025-08-21,03:42:00 | INFO | Train Epoch: 1 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.900 Boundary Ratio: 0.102 Contrastive_loss: 1.2241 (1.3844) Boundary_loss: 0.013568 (0.013359) Loss: 1.2377 (1.3977) +2025-08-21,03:43:00 | INFO | Train Epoch: 1 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 1.3327 (1.3841) Boundary_loss: 0.013249 (0.013358) Loss: 1.3459 (1.3974) +2025-08-21,03:43:59 | INFO | Train Epoch: 1 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 1.1349 (1.3827) Boundary_loss: 0.013394 (0.013359) Loss: 1.1483 (1.3961) +2025-08-21,03:44:58 | INFO | Train Epoch: 1 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 18.889 Boundary Ratio: 0.096 Contrastive_loss: 1.1957 (1.3817) Boundary_loss: 0.013371 (0.013359) Loss: 1.2091 (1.3950) +2025-08-21,03:45:57 | INFO | Train Epoch: 1 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 18.799 Boundary Ratio: 0.096 Contrastive_loss: 1.2658 (1.3811) Boundary_loss: 0.013358 (0.013359) Loss: 1.2791 (1.3944) +2025-08-21,03:46:56 | INFO | Train Epoch: 1 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 1.3123 (1.3807) Boundary_loss: 0.013352 (0.013359) Loss: 1.3256 (1.3941) +2025-08-21,03:47:55 | INFO | Train Epoch: 1 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 1.2932 (1.3802) Boundary_loss: 0.013266 (0.013358) Loss: 1.3064 (1.3936) +2025-08-21,03:48:54 | INFO | Train Epoch: 1 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 1.3648 (1.3801) Boundary_loss: 0.013358 (0.013358) Loss: 1.3781 (1.3935) +2025-08-21,03:49:53 | INFO | Train Epoch: 1 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 1.1918 (1.3791) Boundary_loss: 0.013510 (0.013359) Loss: 1.2053 (1.3925) +2025-08-21,03:50:53 | INFO | Train Epoch: 1 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 1.2251 (1.3783) Boundary_loss: 0.013316 (0.013359) Loss: 1.2384 (1.3917) +2025-08-21,03:51:52 | INFO | Train Epoch: 1 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 1.2377 (1.3776) Boundary_loss: 0.013208 (0.013358) Loss: 1.2509 (1.3910) +2025-08-21,03:52:51 | INFO | Train Epoch: 1 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 1.2414 (1.3769) Boundary_loss: 0.013312 (0.013358) Loss: 1.2547 (1.3902) +2025-08-21,03:53:50 | INFO | Train Epoch: 1 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 1.3050 (1.3765) Boundary_loss: 0.013303 (0.013357) Loss: 1.3183 (1.3899) +2025-08-21,03:54:49 | INFO | Train Epoch: 1 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 1.3062 (1.3762) Boundary_loss: 0.013381 (0.013357) Loss: 1.3195 (1.3895) +2025-08-21,03:55:48 | INFO | Train Epoch: 1 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 18.857 Boundary Ratio: 0.096 Contrastive_loss: 1.2604 (1.3756) Boundary_loss: 0.013314 (0.013357) Loss: 1.2737 (1.3889) +2025-08-21,03:56:47 | INFO | Train Epoch: 1 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 18.965 Boundary Ratio: 0.097 Contrastive_loss: 1.1297 (1.3743) Boundary_loss: 0.013206 (0.013356) Loss: 1.1429 (1.3877) +2025-08-21,03:57:46 | INFO | Train Epoch: 1 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 1.2158 (1.3735) Boundary_loss: 0.013364 (0.013357) Loss: 1.2291 (1.3869) +2025-08-21,03:58:45 | INFO | Train Epoch: 1 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 1.2931 (1.3731) Boundary_loss: 0.013361 (0.013357) Loss: 1.3065 (1.3865) +2025-08-21,03:59:44 | INFO | Train Epoch: 1 [10138112/26365952 (38%)] Avg Boundaries (per batch): 18.982 Boundary Ratio: 0.097 Contrastive_loss: 1.3043 (1.3728) Boundary_loss: 0.013430 (0.013357) Loss: 1.3177 (1.3861) +2025-08-21,04:00:44 | INFO | Train Epoch: 1 [10189312/26365952 (39%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 1.2967 (1.3724) Boundary_loss: 0.013361 (0.013357) Loss: 1.3101 (1.3857) +2025-08-21,04:01:43 | INFO | Train Epoch: 1 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 1.2629 (1.3718) Boundary_loss: 0.013354 (0.013357) Loss: 1.2762 (1.3852) +2025-08-21,04:02:42 | INFO | Train Epoch: 1 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 1.2611 (1.3713) Boundary_loss: 0.013348 (0.013357) Loss: 1.2745 (1.3846) +2025-08-21,04:03:41 | INFO | Train Epoch: 1 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 1.2169 (1.3705) Boundary_loss: 0.013284 (0.013357) Loss: 1.2302 (1.3839) +2025-08-21,04:04:40 | INFO | Train Epoch: 1 [10394112/26365952 (39%)] Avg Boundaries (per batch): 18.867 Boundary Ratio: 0.096 Contrastive_loss: 1.2364 (1.3699) Boundary_loss: 0.013429 (0.013357) Loss: 1.2498 (1.3832) +2025-08-21,04:05:39 | INFO | Train Epoch: 1 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 1.3423 (1.3697) Boundary_loss: 0.013340 (0.013357) Loss: 1.3556 (1.3831) +2025-08-21,04:06:38 | INFO | Train Epoch: 1 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 1.4149 (1.3699) Boundary_loss: 0.013256 (0.013356) Loss: 1.4282 (1.3833) +2025-08-21,04:07:38 | INFO | Train Epoch: 1 [10547712/26365952 (40%)] Avg Boundaries (per batch): 18.467 Boundary Ratio: 0.094 Contrastive_loss: 1.2415 (1.3693) Boundary_loss: 0.013420 (0.013357) Loss: 1.2549 (1.3827) +2025-08-21,04:08:37 | INFO | Train Epoch: 1 [10598912/26365952 (40%)] Avg Boundaries (per batch): 18.822 Boundary Ratio: 0.096 Contrastive_loss: 1.3567 (1.3693) Boundary_loss: 0.013361 (0.013357) Loss: 1.3700 (1.3826) +2025-08-21,04:09:36 | INFO | Train Epoch: 1 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.727 Boundary Ratio: 0.101 Contrastive_loss: 1.1982 (1.3684) Boundary_loss: 0.013269 (0.013356) Loss: 1.2115 (1.3818) +2025-08-21,04:10:35 | INFO | Train Epoch: 1 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 1.3465 (1.3683) Boundary_loss: 0.013277 (0.013356) Loss: 1.3598 (1.3817) +2025-08-21,04:11:34 | INFO | Train Epoch: 1 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 1.1720 (1.3674) Boundary_loss: 0.013281 (0.013355) Loss: 1.1853 (1.3808) +2025-08-21,04:12:33 | INFO | Train Epoch: 1 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 1.2418 (1.3668) Boundary_loss: 0.013410 (0.013356) Loss: 1.2552 (1.3802) +2025-08-21,04:13:32 | INFO | Train Epoch: 1 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 1.2940 (1.3665) Boundary_loss: 0.013427 (0.013356) Loss: 1.3074 (1.3798) +2025-08-21,04:14:31 | INFO | Train Epoch: 1 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 1.1584 (1.3655) Boundary_loss: 0.013338 (0.013356) Loss: 1.1717 (1.3789) +2025-08-21,04:15:31 | INFO | Train Epoch: 1 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 1.2789 (1.3651) Boundary_loss: 0.013387 (0.013356) Loss: 1.2923 (1.3785) +2025-08-21,04:16:30 | INFO | Train Epoch: 1 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 1.2633 (1.3646) Boundary_loss: 0.013303 (0.013356) Loss: 1.2766 (1.3780) +2025-08-21,04:17:29 | INFO | Train Epoch: 1 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 1.1581 (1.3637) Boundary_loss: 0.013213 (0.013355) Loss: 1.1713 (1.3770) +2025-08-21,04:18:28 | INFO | Train Epoch: 1 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 1.2717 (1.3633) Boundary_loss: 0.013222 (0.013355) Loss: 1.2849 (1.3766) +2025-08-21,04:19:27 | INFO | Train Epoch: 1 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 1.2247 (1.3626) Boundary_loss: 0.013319 (0.013354) Loss: 1.2381 (1.3760) +2025-08-21,04:20:26 | INFO | Train Epoch: 1 [11213312/26365952 (43%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 1.2366 (1.3621) Boundary_loss: 0.013377 (0.013355) Loss: 1.2500 (1.3754) +2025-08-21,04:21:25 | INFO | Train Epoch: 1 [11264512/26365952 (43%)] Avg Boundaries (per batch): 18.688 Boundary Ratio: 0.095 Contrastive_loss: 1.3676 (1.3621) Boundary_loss: 0.013483 (0.013355) Loss: 1.3811 (1.3754) +2025-08-21,04:22:24 | INFO | Train Epoch: 1 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 1.2870 (1.3617) Boundary_loss: 0.013380 (0.013355) Loss: 1.3004 (1.3751) +2025-08-21,04:23:23 | INFO | Train Epoch: 1 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 1.1069 (1.3606) Boundary_loss: 0.013301 (0.013355) Loss: 1.1202 (1.3739) +2025-08-21,04:24:22 | INFO | Train Epoch: 1 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 1.3085 (1.3604) Boundary_loss: 0.013353 (0.013355) Loss: 1.3219 (1.3737) +2025-08-21,04:25:22 | INFO | Train Epoch: 1 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 1.3782 (1.3604) Boundary_loss: 0.013326 (0.013355) Loss: 1.3915 (1.3738) +2025-08-21,04:26:21 | INFO | Train Epoch: 1 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 1.0911 (1.3592) Boundary_loss: 0.013291 (0.013355) Loss: 1.1044 (1.3726) +2025-08-21,04:27:20 | INFO | Train Epoch: 1 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 1.2486 (1.3588) Boundary_loss: 0.013393 (0.013355) Loss: 1.2620 (1.3721) +2025-08-21,04:28:19 | INFO | Train Epoch: 1 [11622912/26365952 (44%)] Avg Boundaries (per batch): 18.812 Boundary Ratio: 0.096 Contrastive_loss: 1.0610 (1.3575) Boundary_loss: 0.013391 (0.013355) Loss: 1.0744 (1.3708) +2025-08-21,04:29:18 | INFO | Train Epoch: 1 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 1.2256 (1.3569) Boundary_loss: 0.013291 (0.013355) Loss: 1.2389 (1.3702) +2025-08-21,04:30:17 | INFO | Train Epoch: 1 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 1.3166 (1.3567) Boundary_loss: 0.013449 (0.013355) Loss: 1.3300 (1.3701) +2025-08-21,04:31:16 | INFO | Train Epoch: 1 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 1.1977 (1.3560) Boundary_loss: 0.013358 (0.013355) Loss: 1.2110 (1.3694) +2025-08-21,04:32:15 | INFO | Train Epoch: 1 [11827712/26365952 (45%)] Avg Boundaries (per batch): 18.762 Boundary Ratio: 0.096 Contrastive_loss: 1.2199 (1.3554) Boundary_loss: 0.013348 (0.013355) Loss: 1.2333 (1.3688) +2025-08-21,04:33:14 | INFO | Train Epoch: 1 [11878912/26365952 (45%)] Avg Boundaries (per batch): 18.855 Boundary Ratio: 0.096 Contrastive_loss: 1.2155 (1.3548) Boundary_loss: 0.013207 (0.013354) Loss: 1.2287 (1.3682) +2025-08-21,04:34:13 | INFO | Train Epoch: 1 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 1.2131 (1.3542) Boundary_loss: 0.013426 (0.013355) Loss: 1.2266 (1.3676) +2025-08-21,04:35:13 | INFO | Train Epoch: 1 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 1.3015 (1.3540) Boundary_loss: 0.013204 (0.013354) Loss: 1.3147 (1.3674) +2025-08-21,04:36:12 | INFO | Train Epoch: 1 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 1.1266 (1.3530) Boundary_loss: 0.013347 (0.013354) Loss: 1.1399 (1.3664) +2025-08-21,04:37:11 | INFO | Train Epoch: 1 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 1.1327 (1.3521) Boundary_loss: 0.013368 (0.013354) Loss: 1.1460 (1.3655) +2025-08-21,04:38:10 | INFO | Train Epoch: 1 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 1.4290 (1.3524) Boundary_loss: 0.013222 (0.013354) Loss: 1.4422 (1.3658) +2025-08-21,04:39:09 | INFO | Train Epoch: 1 [12186112/26365952 (46%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 1.1802 (1.3517) Boundary_loss: 0.013347 (0.013353) Loss: 1.1935 (1.3651) +2025-08-21,04:40:08 | INFO | Train Epoch: 1 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 1.1617 (1.3509) Boundary_loss: 0.013296 (0.013353) Loss: 1.1750 (1.3643) +2025-08-21,04:41:07 | INFO | Train Epoch: 1 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 1.1353 (1.3500) Boundary_loss: 0.013317 (0.013353) Loss: 1.1487 (1.3634) +2025-08-21,04:42:06 | INFO | Train Epoch: 1 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.668 Boundary Ratio: 0.100 Contrastive_loss: 1.1963 (1.3494) Boundary_loss: 0.013497 (0.013354) Loss: 1.2098 (1.3627) +2025-08-21,04:43:05 | INFO | Train Epoch: 1 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.543 Boundary Ratio: 0.100 Contrastive_loss: 1.2461 (1.3490) Boundary_loss: 0.013345 (0.013354) Loss: 1.2595 (1.3623) +2025-08-21,04:44:04 | INFO | Train Epoch: 1 [12442112/26365952 (47%)] Avg Boundaries (per batch): 18.803 Boundary Ratio: 0.096 Contrastive_loss: 1.2194 (1.3484) Boundary_loss: 0.013244 (0.013353) Loss: 1.2326 (1.3618) +2025-08-21,04:45:04 | INFO | Train Epoch: 1 [12493312/26365952 (47%)] Avg Boundaries (per batch): 18.910 Boundary Ratio: 0.096 Contrastive_loss: 1.2306 (1.3480) Boundary_loss: 0.013295 (0.013353) Loss: 1.2439 (1.3613) +2025-08-21,04:46:03 | INFO | Train Epoch: 1 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.719 Boundary Ratio: 0.101 Contrastive_loss: 1.1777 (1.3473) Boundary_loss: 0.013414 (0.013353) Loss: 1.1912 (1.3606) +2025-08-21,04:47:02 | INFO | Train Epoch: 1 [12595712/26365952 (48%)] Avg Boundaries (per batch): 18.840 Boundary Ratio: 0.096 Contrastive_loss: 1.2009 (1.3467) Boundary_loss: 0.013305 (0.013353) Loss: 1.2142 (1.3600) +2025-08-21,04:48:01 | INFO | Train Epoch: 1 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 1.3503 (1.3467) Boundary_loss: 0.013397 (0.013353) Loss: 1.3637 (1.3600) +2025-08-21,04:49:00 | INFO | Train Epoch: 1 [12698112/26365952 (48%)] Avg Boundaries (per batch): 18.846 Boundary Ratio: 0.096 Contrastive_loss: 1.2757 (1.3464) Boundary_loss: 0.013395 (0.013353) Loss: 1.2891 (1.3597) +2025-08-21,04:49:59 | INFO | Train Epoch: 1 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 1.2210 (1.3459) Boundary_loss: 0.013205 (0.013353) Loss: 1.2342 (1.3592) +2025-08-21,04:50:58 | INFO | Train Epoch: 1 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 1.2173 (1.3454) Boundary_loss: 0.013417 (0.013353) Loss: 1.2308 (1.3587) +2025-08-21,04:51:57 | INFO | Train Epoch: 1 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 1.3429 (1.3454) Boundary_loss: 0.013331 (0.013353) Loss: 1.3562 (1.3587) +2025-08-21,04:52:57 | INFO | Train Epoch: 1 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.781 Boundary Ratio: 0.101 Contrastive_loss: 1.2261 (1.3449) Boundary_loss: 0.013270 (0.013353) Loss: 1.2394 (1.3583) +2025-08-21,04:53:56 | INFO | Train Epoch: 1 [12954112/26365952 (49%)] Avg Boundaries (per batch): 18.730 Boundary Ratio: 0.096 Contrastive_loss: 1.0832 (1.3439) Boundary_loss: 0.013420 (0.013353) Loss: 1.0967 (1.3572) +2025-08-21,04:54:55 | INFO | Train Epoch: 1 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 1.2463 (1.3435) Boundary_loss: 0.013368 (0.013353) Loss: 1.2596 (1.3568) +2025-08-21,04:55:54 | INFO | Train Epoch: 1 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 1.1731 (1.3428) Boundary_loss: 0.013307 (0.013353) Loss: 1.1864 (1.3562) +2025-08-21,04:56:53 | INFO | Train Epoch: 1 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 1.2098 (1.3423) Boundary_loss: 0.013108 (0.013352) Loss: 1.2229 (1.3557) +2025-08-21,04:57:52 | INFO | Train Epoch: 1 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 1.2195 (1.3418) Boundary_loss: 0.013394 (0.013352) Loss: 1.2329 (1.3552) +2025-08-21,04:58:51 | INFO | Train Epoch: 1 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 1.3069 (1.3417) Boundary_loss: 0.013314 (0.013352) Loss: 1.3202 (1.3550) +2025-08-21,04:59:50 | INFO | Train Epoch: 1 [13261312/26365952 (50%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 1.1483 (1.3409) Boundary_loss: 0.013328 (0.013352) Loss: 1.1616 (1.3543) +2025-08-21,05:00:49 | INFO | Train Epoch: 1 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 1.2325 (1.3405) Boundary_loss: 0.013362 (0.013352) Loss: 1.2459 (1.3539) +2025-08-21,05:01:48 | INFO | Train Epoch: 1 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 1.2820 (1.3403) Boundary_loss: 0.013575 (0.013353) Loss: 1.2956 (1.3537) +2025-08-21,05:02:47 | INFO | Train Epoch: 1 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 1.1404 (1.3396) Boundary_loss: 0.013233 (0.013352) Loss: 1.1536 (1.3529) +2025-08-21,05:03:46 | INFO | Train Epoch: 1 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 1.0952 (1.3386) Boundary_loss: 0.013163 (0.013351) Loss: 1.1084 (1.3520) +2025-08-21,05:04:46 | INFO | Train Epoch: 1 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 1.3472 (1.3387) Boundary_loss: 0.013248 (0.013351) Loss: 1.3604 (1.3520) +2025-08-21,05:05:45 | INFO | Train Epoch: 1 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 1.1730 (1.3380) Boundary_loss: 0.013252 (0.013351) Loss: 1.1863 (1.3514) +2025-08-21,05:06:44 | INFO | Train Epoch: 1 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 1.2780 (1.3378) Boundary_loss: 0.013283 (0.013350) Loss: 1.2912 (1.3512) +2025-08-21,05:07:43 | INFO | Train Epoch: 1 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 1.3327 (1.3378) Boundary_loss: 0.013264 (0.013350) Loss: 1.3460 (1.3511) +2025-08-21,05:08:42 | INFO | Train Epoch: 1 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 1.1497 (1.3371) Boundary_loss: 0.013319 (0.013350) Loss: 1.1631 (1.3504) +2025-08-21,05:09:41 | INFO | Train Epoch: 1 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 1.3016 (1.3370) Boundary_loss: 0.013421 (0.013350) Loss: 1.3150 (1.3503) +2025-08-21,05:10:40 | INFO | Train Epoch: 1 [13824512/26365952 (52%)] Avg Boundaries (per batch): 18.762 Boundary Ratio: 0.096 Contrastive_loss: 1.3796 (1.3371) Boundary_loss: 0.013324 (0.013350) Loss: 1.3929 (1.3505) +2025-08-21,05:11:39 | INFO | Train Epoch: 1 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 1.2720 (1.3369) Boundary_loss: 0.013283 (0.013350) Loss: 1.2853 (1.3502) +2025-08-21,05:12:38 | INFO | Train Epoch: 1 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 1.1254 (1.3361) Boundary_loss: 0.013164 (0.013349) Loss: 1.1386 (1.3495) +2025-08-21,05:13:37 | INFO | Train Epoch: 1 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 1.2540 (1.3358) Boundary_loss: 0.013311 (0.013349) Loss: 1.2673 (1.3492) +2025-08-21,05:14:36 | INFO | Train Epoch: 1 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 1.1855 (1.3353) Boundary_loss: 0.013258 (0.013349) Loss: 1.1988 (1.3486) +2025-08-21,05:15:35 | INFO | Train Epoch: 1 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 1.1233 (1.3345) Boundary_loss: 0.013207 (0.013348) Loss: 1.1365 (1.3478) +2025-08-21,05:16:35 | INFO | Train Epoch: 1 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 1.2901 (1.3343) Boundary_loss: 0.013403 (0.013348) Loss: 1.3035 (1.3477) +2025-08-21,05:17:34 | INFO | Train Epoch: 1 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 1.2307 (1.3340) Boundary_loss: 0.013500 (0.013349) Loss: 1.2442 (1.3473) +2025-08-21,05:18:33 | INFO | Train Epoch: 1 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 1.0765 (1.3330) Boundary_loss: 0.013219 (0.013349) Loss: 1.0897 (1.3464) +2025-08-21,05:19:32 | INFO | Train Epoch: 1 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 1.2815 (1.3328) Boundary_loss: 0.013275 (0.013348) Loss: 1.2948 (1.3462) +2025-08-21,05:20:31 | INFO | Train Epoch: 1 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 1.1663 (1.3323) Boundary_loss: 0.013255 (0.013348) Loss: 1.1796 (1.3456) +2025-08-21,05:21:30 | INFO | Train Epoch: 1 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 1.1481 (1.3316) Boundary_loss: 0.013282 (0.013348) Loss: 1.1614 (1.3450) +2025-08-21,05:22:29 | INFO | Train Epoch: 1 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 1.3951 (1.3318) Boundary_loss: 0.013307 (0.013348) Loss: 1.4084 (1.3452) +2025-08-21,05:23:28 | INFO | Train Epoch: 1 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 1.1809 (1.3313) Boundary_loss: 0.013307 (0.013347) Loss: 1.1942 (1.3446) +2025-08-21,05:24:27 | INFO | Train Epoch: 1 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 1.2510 (1.3310) Boundary_loss: 0.013293 (0.013347) Loss: 1.2643 (1.3444) +2025-08-21,05:25:26 | INFO | Train Epoch: 1 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.623 Boundary Ratio: 0.100 Contrastive_loss: 1.1985 (1.3306) Boundary_loss: 0.013288 (0.013347) Loss: 1.2118 (1.3439) +2025-08-21,05:26:26 | INFO | Train Epoch: 1 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 1.2420 (1.3302) Boundary_loss: 0.013369 (0.013347) Loss: 1.2554 (1.3436) +2025-08-21,05:27:25 | INFO | Train Epoch: 1 [14694912/26365952 (56%)] Avg Boundaries (per batch): 18.771 Boundary Ratio: 0.096 Contrastive_loss: 1.0834 (1.3294) Boundary_loss: 0.013332 (0.013347) Loss: 1.0967 (1.3427) +2025-08-21,05:28:24 | INFO | Train Epoch: 1 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 1.1813 (1.3289) Boundary_loss: 0.013358 (0.013347) Loss: 1.1946 (1.3422) +2025-08-21,05:29:23 | INFO | Train Epoch: 1 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 1.3070 (1.3288) Boundary_loss: 0.013291 (0.013347) Loss: 1.3203 (1.3421) +2025-08-21,05:30:22 | INFO | Train Epoch: 1 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 1.2329 (1.3285) Boundary_loss: 0.013334 (0.013347) Loss: 1.2462 (1.3418) +2025-08-21,05:31:21 | INFO | Train Epoch: 1 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.760 Boundary Ratio: 0.101 Contrastive_loss: 1.0802 (1.3276) Boundary_loss: 0.013314 (0.013347) Loss: 1.0936 (1.3410) +2025-08-21,05:32:20 | INFO | Train Epoch: 1 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 1.1626 (1.3271) Boundary_loss: 0.013325 (0.013347) Loss: 1.1760 (1.3404) +2025-08-21,05:33:19 | INFO | Train Epoch: 1 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.719 Boundary Ratio: 0.101 Contrastive_loss: 1.0974 (1.3263) Boundary_loss: 0.013256 (0.013346) Loss: 1.1106 (1.3396) +2025-08-21,05:34:18 | INFO | Train Epoch: 1 [15053312/26365952 (57%)] Avg Boundaries (per batch): 18.939 Boundary Ratio: 0.097 Contrastive_loss: 1.2182 (1.3259) Boundary_loss: 0.013249 (0.013346) Loss: 1.2315 (1.3393) +2025-08-21,05:35:17 | INFO | Train Epoch: 1 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.613 Boundary Ratio: 0.100 Contrastive_loss: 1.1772 (1.3254) Boundary_loss: 0.013376 (0.013346) Loss: 1.1905 (1.3388) +2025-08-21,05:36:16 | INFO | Train Epoch: 1 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 1.0767 (1.3246) Boundary_loss: 0.013209 (0.013346) Loss: 1.0899 (1.3379) +2025-08-21,05:37:15 | INFO | Train Epoch: 1 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 1.3546 (1.3247) Boundary_loss: 0.013160 (0.013345) Loss: 1.3678 (1.3380) +2025-08-21,05:38:14 | INFO | Train Epoch: 1 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 1.1657 (1.3241) Boundary_loss: 0.013244 (0.013345) Loss: 1.1789 (1.3375) +2025-08-21,05:39:13 | INFO | Train Epoch: 1 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 1.1285 (1.3235) Boundary_loss: 0.013394 (0.013345) Loss: 1.1419 (1.3368) +2025-08-21,05:40:13 | INFO | Train Epoch: 1 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 1.1279 (1.3228) Boundary_loss: 0.013353 (0.013345) Loss: 1.1412 (1.3362) +2025-08-21,05:41:12 | INFO | Train Epoch: 1 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 1.1731 (1.3223) Boundary_loss: 0.013281 (0.013345) Loss: 1.1863 (1.3357) +2025-08-21,05:42:11 | INFO | Train Epoch: 1 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 1.2530 (1.3221) Boundary_loss: 0.013386 (0.013345) Loss: 1.2664 (1.3355) +2025-08-21,05:43:10 | INFO | Train Epoch: 1 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 1.0758 (1.3213) Boundary_loss: 0.013259 (0.013345) Loss: 1.0891 (1.3346) +2025-08-21,05:44:09 | INFO | Train Epoch: 1 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 1.2594 (1.3211) Boundary_loss: 0.013199 (0.013344) Loss: 1.2726 (1.3344) +2025-08-21,05:45:08 | INFO | Train Epoch: 1 [15616512/26365952 (59%)] Avg Boundaries (per batch): 18.963 Boundary Ratio: 0.097 Contrastive_loss: 1.1775 (1.3206) Boundary_loss: 0.013174 (0.013344) Loss: 1.1907 (1.3340) +2025-08-21,05:46:07 | INFO | Train Epoch: 1 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 1.2863 (1.3205) Boundary_loss: 0.013331 (0.013343) Loss: 1.2996 (1.3339) +2025-08-21,05:47:06 | INFO | Train Epoch: 1 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 1.2295 (1.3202) Boundary_loss: 0.013080 (0.013343) Loss: 1.2426 (1.3336) +2025-08-21,05:48:05 | INFO | Train Epoch: 1 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 1.1329 (1.3196) Boundary_loss: 0.013286 (0.013342) Loss: 1.1462 (1.3330) +2025-08-21,05:49:04 | INFO | Train Epoch: 1 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 1.2303 (1.3193) Boundary_loss: 0.013403 (0.013343) Loss: 1.2438 (1.3327) +2025-08-21,05:50:03 | INFO | Train Epoch: 1 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 1.2053 (1.3190) Boundary_loss: 0.013379 (0.013343) Loss: 1.2187 (1.3323) +2025-08-21,05:51:02 | INFO | Train Epoch: 1 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.918 Boundary Ratio: 0.102 Contrastive_loss: 1.1675 (1.3185) Boundary_loss: 0.013429 (0.013343) Loss: 1.1810 (1.3318) +2025-08-21,05:52:01 | INFO | Train Epoch: 1 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 1.0954 (1.3178) Boundary_loss: 0.013369 (0.013343) Loss: 1.1087 (1.3311) +2025-08-21,05:53:00 | INFO | Train Epoch: 1 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 1.1513 (1.3172) Boundary_loss: 0.013239 (0.013343) Loss: 1.1645 (1.3306) +2025-08-21,05:53:59 | INFO | Train Epoch: 1 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 1.1219 (1.3166) Boundary_loss: 0.013256 (0.013342) Loss: 1.1351 (1.3300) +2025-08-21,05:54:58 | INFO | Train Epoch: 1 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 1.1728 (1.3162) Boundary_loss: 0.013357 (0.013343) Loss: 1.1861 (1.3295) +2025-08-21,05:55:57 | INFO | Train Epoch: 1 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.807 Boundary Ratio: 0.101 Contrastive_loss: 1.1118 (1.3155) Boundary_loss: 0.013204 (0.013342) Loss: 1.1250 (1.3289) +2025-08-21,05:56:57 | INFO | Train Epoch: 1 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 1.2602 (1.3153) Boundary_loss: 0.013248 (0.013342) Loss: 1.2735 (1.3287) +2025-08-21,05:57:56 | INFO | Train Epoch: 1 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 1.2188 (1.3150) Boundary_loss: 0.013186 (0.013341) Loss: 1.2320 (1.3284) +2025-08-21,05:58:55 | INFO | Train Epoch: 1 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 1.2266 (1.3148) Boundary_loss: 0.013232 (0.013341) Loss: 1.2398 (1.3281) +2025-08-21,05:59:54 | INFO | Train Epoch: 1 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 1.1140 (1.3141) Boundary_loss: 0.013344 (0.013341) Loss: 1.1273 (1.3275) +2025-08-21,06:00:53 | INFO | Train Epoch: 1 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 1.1419 (1.3136) Boundary_loss: 0.013213 (0.013341) Loss: 1.1551 (1.3269) +2025-08-21,06:01:52 | INFO | Train Epoch: 1 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.674 Boundary Ratio: 0.100 Contrastive_loss: 1.2207 (1.3133) Boundary_loss: 0.013223 (0.013340) Loss: 1.2339 (1.3267) +2025-08-21,06:02:51 | INFO | Train Epoch: 1 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 1.2284 (1.3130) Boundary_loss: 0.013206 (0.013340) Loss: 1.2416 (1.3264) +2025-08-21,06:03:50 | INFO | Train Epoch: 1 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 1.1180 (1.3124) Boundary_loss: 0.013251 (0.013340) Loss: 1.1312 (1.3258) +2025-08-21,06:04:49 | INFO | Train Epoch: 1 [16640512/26365952 (63%)] Avg Boundaries (per batch): 18.607 Boundary Ratio: 0.095 Contrastive_loss: 1.1793 (1.3120) Boundary_loss: 0.013373 (0.013340) Loss: 1.1927 (1.3254) +2025-08-21,06:05:48 | INFO | Train Epoch: 1 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 1.0508 (1.3112) Boundary_loss: 0.013405 (0.013340) Loss: 1.0642 (1.3246) +2025-08-21,06:06:47 | INFO | Train Epoch: 1 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.641 Boundary Ratio: 0.100 Contrastive_loss: 1.1793 (1.3108) Boundary_loss: 0.013222 (0.013339) Loss: 1.1925 (1.3242) +2025-08-21,06:07:47 | INFO | Train Epoch: 1 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 1.1641 (1.3104) Boundary_loss: 0.013226 (0.013339) Loss: 1.1773 (1.3237) +2025-08-21,06:08:46 | INFO | Train Epoch: 1 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.936 Boundary Ratio: 0.102 Contrastive_loss: 1.3855 (1.3106) Boundary_loss: 0.013288 (0.013339) Loss: 1.3988 (1.3240) +2025-08-21,06:09:45 | INFO | Train Epoch: 1 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 1.2496 (1.3104) Boundary_loss: 0.013348 (0.013339) Loss: 1.2629 (1.3238) +2025-08-21,06:10:44 | INFO | Train Epoch: 1 [16947712/26365952 (64%)] Avg Boundaries (per batch): 18.828 Boundary Ratio: 0.096 Contrastive_loss: 1.2311 (1.3102) Boundary_loss: 0.013235 (0.013339) Loss: 1.2443 (1.3235) +2025-08-21,06:11:43 | INFO | Train Epoch: 1 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 1.2849 (1.3101) Boundary_loss: 0.013174 (0.013338) Loss: 1.2981 (1.3235) +2025-08-21,06:12:42 | INFO | Train Epoch: 1 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.770 Boundary Ratio: 0.101 Contrastive_loss: 1.2359 (1.3099) Boundary_loss: 0.013228 (0.013338) Loss: 1.2491 (1.3232) +2025-08-21,06:13:41 | INFO | Train Epoch: 1 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 1.2526 (1.3097) Boundary_loss: 0.013229 (0.013338) Loss: 1.2658 (1.3231) +2025-08-21,06:14:40 | INFO | Train Epoch: 1 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 1.2397 (1.3095) Boundary_loss: 0.013235 (0.013337) Loss: 1.2529 (1.3229) +2025-08-21,06:15:39 | INFO | Train Epoch: 1 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 1.1613 (1.3091) Boundary_loss: 0.013263 (0.013337) Loss: 1.1746 (1.3224) +2025-08-21,06:16:39 | INFO | Train Epoch: 1 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 1.2275 (1.3088) Boundary_loss: 0.013276 (0.013337) Loss: 1.2407 (1.3222) +2025-08-21,06:17:38 | INFO | Train Epoch: 1 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 1.2131 (1.3086) Boundary_loss: 0.013325 (0.013337) Loss: 1.2264 (1.3219) +2025-08-21,06:18:37 | INFO | Train Epoch: 1 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 1.1265 (1.3080) Boundary_loss: 0.013200 (0.013336) Loss: 1.1397 (1.3214) +2025-08-21,06:19:36 | INFO | Train Epoch: 1 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.641 Boundary Ratio: 0.100 Contrastive_loss: 1.3233 (1.3081) Boundary_loss: 0.013235 (0.013336) Loss: 1.3365 (1.3214) +2025-08-21,06:20:35 | INFO | Train Epoch: 1 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 1.1453 (1.3076) Boundary_loss: 0.013284 (0.013336) Loss: 1.1585 (1.3209) +2025-08-21,06:21:34 | INFO | Train Epoch: 1 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 0.97444 (1.3066) Boundary_loss: 0.013226 (0.013336) Loss: 0.98766 (1.3200) +2025-08-21,06:22:33 | INFO | Train Epoch: 1 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 1.1996 (1.3063) Boundary_loss: 0.013368 (0.013336) Loss: 1.2130 (1.3196) +2025-08-21,06:23:32 | INFO | Train Epoch: 1 [17613312/26365952 (67%)] Avg Boundaries (per batch): 18.701 Boundary Ratio: 0.095 Contrastive_loss: 1.1843 (1.3060) Boundary_loss: 0.013174 (0.013335) Loss: 1.1974 (1.3193) +2025-08-21,06:24:31 | INFO | Train Epoch: 1 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 1.1778 (1.3056) Boundary_loss: 0.013174 (0.013335) Loss: 1.1910 (1.3189) +2025-08-21,06:25:30 | INFO | Train Epoch: 1 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.582 Boundary Ratio: 0.100 Contrastive_loss: 1.2078 (1.3053) Boundary_loss: 0.013377 (0.013335) Loss: 1.2212 (1.3186) +2025-08-21,06:26:30 | INFO | Train Epoch: 1 [17766912/26365952 (67%)] Avg Boundaries (per batch): 18.926 Boundary Ratio: 0.097 Contrastive_loss: 0.92840 (1.3042) Boundary_loss: 0.013309 (0.013335) Loss: 0.94171 (1.3176) +2025-08-21,06:27:29 | INFO | Train Epoch: 1 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 1.1544 (1.3038) Boundary_loss: 0.013226 (0.013335) Loss: 1.1677 (1.3171) +2025-08-21,06:28:28 | INFO | Train Epoch: 1 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 1.2819 (1.3037) Boundary_loss: 0.013252 (0.013334) Loss: 1.2952 (1.3171) +2025-08-21,06:29:27 | INFO | Train Epoch: 1 [17920512/26365952 (68%)] Avg Boundaries (per batch): 18.822 Boundary Ratio: 0.096 Contrastive_loss: 1.0679 (1.3031) Boundary_loss: 0.013337 (0.013334) Loss: 1.0812 (1.3164) +2025-08-21,06:30:26 | INFO | Train Epoch: 1 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 1.2478 (1.3029) Boundary_loss: 0.013318 (0.013334) Loss: 1.2611 (1.3162) +2025-08-21,06:31:25 | INFO | Train Epoch: 1 [18022912/26365952 (68%)] Avg Boundaries (per batch): 18.604 Boundary Ratio: 0.095 Contrastive_loss: 1.0421 (1.3022) Boundary_loss: 0.013361 (0.013334) Loss: 1.0555 (1.3155) +2025-08-21,06:32:24 | INFO | Train Epoch: 1 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 1.1849 (1.3018) Boundary_loss: 0.013278 (0.013334) Loss: 1.1982 (1.3152) +2025-08-21,06:33:23 | INFO | Train Epoch: 1 [18125312/26365952 (69%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 1.2240 (1.3016) Boundary_loss: 0.013356 (0.013334) Loss: 1.2374 (1.3149) +2025-08-21,06:34:22 | INFO | Train Epoch: 1 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.920 Boundary Ratio: 0.102 Contrastive_loss: 1.2254 (1.3014) Boundary_loss: 0.013391 (0.013334) Loss: 1.2388 (1.3147) +2025-08-21,06:35:21 | INFO | Train Epoch: 1 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 1.1483 (1.3010) Boundary_loss: 0.013226 (0.013334) Loss: 1.1615 (1.3143) +2025-08-21,06:36:20 | INFO | Train Epoch: 1 [18278912/26365952 (69%)] Avg Boundaries (per batch): 18.814 Boundary Ratio: 0.096 Contrastive_loss: 1.1064 (1.3004) Boundary_loss: 0.013345 (0.013334) Loss: 1.1197 (1.3138) +2025-08-21,06:37:20 | INFO | Train Epoch: 1 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.715 Boundary Ratio: 0.101 Contrastive_loss: 1.1496 (1.3000) Boundary_loss: 0.013239 (0.013334) Loss: 1.1629 (1.3133) +2025-08-21,06:38:19 | INFO | Train Epoch: 1 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 1.1382 (1.2996) Boundary_loss: 0.013252 (0.013334) Loss: 1.1515 (1.3129) +2025-08-21,06:39:18 | INFO | Train Epoch: 1 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 1.0987 (1.2990) Boundary_loss: 0.013247 (0.013333) Loss: 1.1119 (1.3123) +2025-08-21,06:40:17 | INFO | Train Epoch: 1 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 1.0751 (1.2984) Boundary_loss: 0.013235 (0.013333) Loss: 1.0884 (1.3117) +2025-08-21,06:41:16 | INFO | Train Epoch: 1 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 1.0602 (1.2977) Boundary_loss: 0.013319 (0.013333) Loss: 1.0735 (1.3111) +2025-08-21,06:42:15 | INFO | Train Epoch: 1 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 1.0017 (1.2969) Boundary_loss: 0.013247 (0.013333) Loss: 1.0150 (1.3102) +2025-08-21,06:43:14 | INFO | Train Epoch: 1 [18637312/26365952 (71%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 1.1573 (1.2965) Boundary_loss: 0.013230 (0.013333) Loss: 1.1705 (1.3099) +2025-08-21,06:44:13 | INFO | Train Epoch: 1 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 1.1585 (1.2961) Boundary_loss: 0.013205 (0.013332) Loss: 1.1717 (1.3095) +2025-08-21,06:45:12 | INFO | Train Epoch: 1 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 1.0679 (1.2955) Boundary_loss: 0.013299 (0.013332) Loss: 1.0812 (1.3089) +2025-08-21,06:46:11 | INFO | Train Epoch: 1 [18790912/26365952 (71%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 1.0844 (1.2950) Boundary_loss: 0.013227 (0.013332) Loss: 1.0977 (1.3083) +2025-08-21,06:47:10 | INFO | Train Epoch: 1 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 1.0895 (1.2944) Boundary_loss: 0.013180 (0.013331) Loss: 1.1026 (1.3077) +2025-08-21,06:48:09 | INFO | Train Epoch: 1 [18893312/26365952 (72%)] Avg Boundaries (per batch): 18.895 Boundary Ratio: 0.096 Contrastive_loss: 1.0916 (1.2938) Boundary_loss: 0.013389 (0.013332) Loss: 1.1050 (1.3072) +2025-08-21,06:49:08 | INFO | Train Epoch: 1 [18944512/26365952 (72%)] Avg Boundaries (per batch): 18.912 Boundary Ratio: 0.096 Contrastive_loss: 1.1950 (1.2936) Boundary_loss: 0.013241 (0.013331) Loss: 1.2083 (1.3069) +2025-08-21,06:50:08 | INFO | Train Epoch: 1 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 1.1996 (1.2933) Boundary_loss: 0.013354 (0.013331) Loss: 1.2129 (1.3067) +2025-08-21,06:51:07 | INFO | Train Epoch: 1 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 1.1020 (1.2928) Boundary_loss: 0.013192 (0.013331) Loss: 1.1152 (1.3061) +2025-08-21,06:52:06 | INFO | Train Epoch: 1 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 1.0606 (1.2922) Boundary_loss: 0.013346 (0.013331) Loss: 1.0739 (1.3055) +2025-08-21,06:53:05 | INFO | Train Epoch: 1 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 1.2077 (1.2920) Boundary_loss: 0.013256 (0.013331) Loss: 1.2210 (1.3053) +2025-08-21,06:54:04 | INFO | Train Epoch: 1 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.674 Boundary Ratio: 0.100 Contrastive_loss: 1.1669 (1.2916) Boundary_loss: 0.013430 (0.013331) Loss: 1.1803 (1.3050) +2025-08-21,06:55:03 | INFO | Train Epoch: 1 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 1.1390 (1.2912) Boundary_loss: 0.013289 (0.013331) Loss: 1.1523 (1.3046) +2025-08-21,06:56:02 | INFO | Train Epoch: 1 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 1.1129 (1.2908) Boundary_loss: 0.013260 (0.013331) Loss: 1.1261 (1.3041) +2025-08-21,06:57:01 | INFO | Train Epoch: 1 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.96398 (1.2899) Boundary_loss: 0.013282 (0.013331) Loss: 0.97726 (1.3032) +2025-08-21,06:58:00 | INFO | Train Epoch: 1 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 1.1547 (1.2895) Boundary_loss: 0.013268 (0.013331) Loss: 1.1680 (1.3029) +2025-08-21,06:58:59 | INFO | Train Epoch: 1 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 1.2244 (1.2894) Boundary_loss: 0.013414 (0.013331) Loss: 1.2378 (1.3027) +2025-08-21,06:59:58 | INFO | Train Epoch: 1 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.627 Boundary Ratio: 0.100 Contrastive_loss: 1.0463 (1.2887) Boundary_loss: 0.013264 (0.013331) Loss: 1.0595 (1.3021) +2025-08-21,07:00:58 | INFO | Train Epoch: 1 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.650 Boundary Ratio: 0.100 Contrastive_loss: 1.1967 (1.2885) Boundary_loss: 0.013386 (0.013331) Loss: 1.2100 (1.3018) +2025-08-21,07:01:57 | INFO | Train Epoch: 1 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 1.0549 (1.2879) Boundary_loss: 0.013335 (0.013331) Loss: 1.0682 (1.3012) +2025-08-21,07:02:56 | INFO | Train Epoch: 1 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 1.0702 (1.2873) Boundary_loss: 0.013197 (0.013330) Loss: 1.0834 (1.3007) +2025-08-21,07:03:55 | INFO | Train Epoch: 1 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 1.0833 (1.2868) Boundary_loss: 0.013292 (0.013330) Loss: 1.0966 (1.3001) +2025-08-21,07:04:54 | INFO | Train Epoch: 1 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.580 Boundary Ratio: 0.100 Contrastive_loss: 1.1329 (1.2864) Boundary_loss: 0.013379 (0.013330) Loss: 1.1463 (1.2997) +2025-08-21,07:05:53 | INFO | Train Epoch: 1 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 1.1729 (1.2861) Boundary_loss: 0.013325 (0.013330) Loss: 1.1862 (1.2994) +2025-08-21,07:06:52 | INFO | Train Epoch: 1 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 1.2232 (1.2859) Boundary_loss: 0.013210 (0.013330) Loss: 1.2364 (1.2993) +2025-08-21,07:07:51 | INFO | Train Epoch: 1 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 1.0433 (1.2853) Boundary_loss: 0.013203 (0.013330) Loss: 1.0565 (1.2986) +2025-08-21,07:08:51 | INFO | Train Epoch: 1 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 1.2107 (1.2851) Boundary_loss: 0.013187 (0.013329) Loss: 1.2239 (1.2985) +2025-08-21,07:09:50 | INFO | Train Epoch: 1 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 1.0894 (1.2846) Boundary_loss: 0.013342 (0.013329) Loss: 1.1027 (1.2980) +2025-08-21,07:10:49 | INFO | Train Epoch: 1 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 0.91046 (1.2837) Boundary_loss: 0.013269 (0.013329) Loss: 0.92373 (1.2970) +2025-08-21,07:11:48 | INFO | Train Epoch: 1 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.750 Boundary Ratio: 0.101 Contrastive_loss: 1.0253 (1.2830) Boundary_loss: 0.013354 (0.013329) Loss: 1.0387 (1.2963) +2025-08-21,07:12:47 | INFO | Train Epoch: 1 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 1.1002 (1.2826) Boundary_loss: 0.013147 (0.013329) Loss: 1.1133 (1.2959) +2025-08-21,07:13:46 | INFO | Train Epoch: 1 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.830 Boundary Ratio: 0.101 Contrastive_loss: 1.1483 (1.2822) Boundary_loss: 0.013320 (0.013329) Loss: 1.1617 (1.2955) +2025-08-21,07:14:45 | INFO | Train Epoch: 1 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.875 Boundary Ratio: 0.101 Contrastive_loss: 1.0134 (1.2815) Boundary_loss: 0.013347 (0.013329) Loss: 1.0268 (1.2949) +2025-08-21,07:15:44 | INFO | Train Epoch: 1 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 1.1669 (1.2813) Boundary_loss: 0.013272 (0.013329) Loss: 1.1802 (1.2946) +2025-08-21,07:16:43 | INFO | Train Epoch: 1 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 1.1511 (1.2809) Boundary_loss: 0.013315 (0.013329) Loss: 1.1644 (1.2943) +2025-08-21,07:17:42 | INFO | Train Epoch: 1 [20429312/26365952 (77%)] Avg Boundaries (per batch): 18.982 Boundary Ratio: 0.097 Contrastive_loss: 1.1514 (1.2806) Boundary_loss: 0.013322 (0.013329) Loss: 1.1647 (1.2939) +2025-08-21,07:18:41 | INFO | Train Epoch: 1 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 1.0468 (1.2800) Boundary_loss: 0.013344 (0.013329) Loss: 1.0601 (1.2933) +2025-08-21,07:19:41 | INFO | Train Epoch: 1 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 1.0166 (1.2794) Boundary_loss: 0.013141 (0.013328) Loss: 1.0298 (1.2927) +2025-08-21,07:20:40 | INFO | Train Epoch: 1 [20582912/26365952 (78%)] Avg Boundaries (per batch): 18.734 Boundary Ratio: 0.096 Contrastive_loss: 1.2220 (1.2792) Boundary_loss: 0.013268 (0.013328) Loss: 1.2352 (1.2926) +2025-08-21,07:21:39 | INFO | Train Epoch: 1 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 1.1643 (1.2789) Boundary_loss: 0.013387 (0.013328) Loss: 1.1777 (1.2923) +2025-08-21,07:22:38 | INFO | Train Epoch: 1 [20685312/26365952 (78%)] Avg Boundaries (per batch): 18.930 Boundary Ratio: 0.097 Contrastive_loss: 1.0027 (1.2783) Boundary_loss: 0.013122 (0.013328) Loss: 1.0158 (1.2916) +2025-08-21,07:23:37 | INFO | Train Epoch: 1 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 1.1686 (1.2780) Boundary_loss: 0.013293 (0.013328) Loss: 1.1819 (1.2913) +2025-08-21,07:24:36 | INFO | Train Epoch: 1 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 1.0830 (1.2775) Boundary_loss: 0.013315 (0.013328) Loss: 1.0963 (1.2908) +2025-08-21,07:25:35 | INFO | Train Epoch: 1 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 1.2331 (1.2774) Boundary_loss: 0.013201 (0.013327) Loss: 1.2463 (1.2907) +2025-08-21,07:26:34 | INFO | Train Epoch: 1 [20890112/26365952 (79%)] Avg Boundaries (per batch): 18.963 Boundary Ratio: 0.097 Contrastive_loss: 1.2190 (1.2773) Boundary_loss: 0.013269 (0.013327) Loss: 1.2323 (1.2906) +2025-08-21,07:27:33 | INFO | Train Epoch: 1 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 1.1286 (1.2769) Boundary_loss: 0.013289 (0.013327) Loss: 1.1419 (1.2902) +2025-08-21,07:28:33 | INFO | Train Epoch: 1 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.98582 (1.2762) Boundary_loss: 0.013386 (0.013327) Loss: 0.99920 (1.2895) +2025-08-21,07:29:32 | INFO | Train Epoch: 1 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 1.0926 (1.2757) Boundary_loss: 0.013275 (0.013327) Loss: 1.1059 (1.2891) +2025-08-21,07:30:31 | INFO | Train Epoch: 1 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 1.1160 (1.2754) Boundary_loss: 0.013277 (0.013327) Loss: 1.1293 (1.2887) +2025-08-21,07:31:30 | INFO | Train Epoch: 1 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 1.1537 (1.2751) Boundary_loss: 0.013234 (0.013327) Loss: 1.1669 (1.2884) +2025-08-21,07:32:29 | INFO | Train Epoch: 1 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 1.0898 (1.2746) Boundary_loss: 0.013260 (0.013327) Loss: 1.1030 (1.2879) +2025-08-21,07:33:28 | INFO | Train Epoch: 1 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 1.1936 (1.2744) Boundary_loss: 0.013234 (0.013326) Loss: 1.2068 (1.2877) +2025-08-21,07:34:27 | INFO | Train Epoch: 1 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.621 Boundary Ratio: 0.100 Contrastive_loss: 1.1086 (1.2740) Boundary_loss: 0.013281 (0.013326) Loss: 1.1219 (1.2873) +2025-08-21,07:35:26 | INFO | Train Epoch: 1 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 1.0765 (1.2735) Boundary_loss: 0.013243 (0.013326) Loss: 1.0897 (1.2869) +2025-08-21,07:36:25 | INFO | Train Epoch: 1 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 1.2047 (1.2734) Boundary_loss: 0.013281 (0.013326) Loss: 1.2179 (1.2867) +2025-08-21,07:37:24 | INFO | Train Epoch: 1 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 1.0700 (1.2729) Boundary_loss: 0.013330 (0.013326) Loss: 1.0833 (1.2862) +2025-08-21,07:38:24 | INFO | Train Epoch: 1 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 1.0871 (1.2725) Boundary_loss: 0.013259 (0.013326) Loss: 1.1003 (1.2858) +2025-08-21,07:39:23 | INFO | Train Epoch: 1 [21555712/26365952 (82%)] Avg Boundaries (per batch): 18.951 Boundary Ratio: 0.097 Contrastive_loss: 1.1640 (1.2722) Boundary_loss: 0.013227 (0.013326) Loss: 1.1772 (1.2855) +2025-08-21,07:40:22 | INFO | Train Epoch: 1 [21606912/26365952 (82%)] Avg Boundaries (per batch): 18.900 Boundary Ratio: 0.096 Contrastive_loss: 1.2716 (1.2722) Boundary_loss: 0.013145 (0.013325) Loss: 1.2848 (1.2855) +2025-08-21,07:41:21 | INFO | Train Epoch: 1 [21658112/26365952 (82%)] Avg Boundaries (per batch): 18.951 Boundary Ratio: 0.097 Contrastive_loss: 1.0954 (1.2718) Boundary_loss: 0.013359 (0.013325) Loss: 1.1088 (1.2851) +2025-08-21,07:42:20 | INFO | Train Epoch: 1 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 1.0714 (1.2713) Boundary_loss: 0.013257 (0.013325) Loss: 1.0846 (1.2846) +2025-08-21,07:43:19 | INFO | Train Epoch: 1 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 1.1001 (1.2709) Boundary_loss: 0.013258 (0.013325) Loss: 1.1134 (1.2842) +2025-08-21,07:44:18 | INFO | Train Epoch: 1 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 1.1347 (1.2706) Boundary_loss: 0.013179 (0.013325) Loss: 1.1479 (1.2839) +2025-08-21,07:45:17 | INFO | Train Epoch: 1 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 1.1032 (1.2702) Boundary_loss: 0.013117 (0.013324) Loss: 1.1163 (1.2835) +2025-08-21,07:46:16 | INFO | Train Epoch: 1 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 1.0836 (1.2698) Boundary_loss: 0.013291 (0.013324) Loss: 1.0969 (1.2831) +2025-08-21,07:47:16 | INFO | Train Epoch: 1 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 1.1975 (1.2696) Boundary_loss: 0.013307 (0.013324) Loss: 1.2108 (1.2829) +2025-08-21,07:48:15 | INFO | Train Epoch: 1 [22016512/26365952 (84%)] Avg Boundaries (per batch): 18.814 Boundary Ratio: 0.096 Contrastive_loss: 1.0356 (1.2691) Boundary_loss: 0.013363 (0.013324) Loss: 1.0490 (1.2824) +2025-08-21,07:49:14 | INFO | Train Epoch: 1 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 1.1115 (1.2687) Boundary_loss: 0.013352 (0.013324) Loss: 1.1248 (1.2820) +2025-08-21,07:50:13 | INFO | Train Epoch: 1 [22118912/26365952 (84%)] Avg Boundaries (per batch): 18.766 Boundary Ratio: 0.096 Contrastive_loss: 1.1174 (1.2683) Boundary_loss: 0.013304 (0.013324) Loss: 1.1307 (1.2817) +2025-08-21,07:51:12 | INFO | Train Epoch: 1 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 1.1239 (1.2680) Boundary_loss: 0.013489 (0.013324) Loss: 1.1374 (1.2813) +2025-08-21,07:52:11 | INFO | Train Epoch: 1 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.98957 (1.2674) Boundary_loss: 0.013285 (0.013324) Loss: 1.0029 (1.2807) +2025-08-21,07:53:10 | INFO | Train Epoch: 1 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 1.0266 (1.2668) Boundary_loss: 0.013159 (0.013324) Loss: 1.0398 (1.2801) +2025-08-21,07:54:10 | INFO | Train Epoch: 1 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.621 Boundary Ratio: 0.100 Contrastive_loss: 0.95721 (1.2661) Boundary_loss: 0.013323 (0.013324) Loss: 0.97053 (1.2794) +2025-08-21,07:55:09 | INFO | Train Epoch: 1 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 1.1623 (1.2659) Boundary_loss: 0.013242 (0.013324) Loss: 1.1755 (1.2792) +2025-08-21,07:56:08 | INFO | Train Epoch: 1 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 1.0002 (1.2653) Boundary_loss: 0.013327 (0.013324) Loss: 1.0136 (1.2786) +2025-08-21,07:57:07 | INFO | Train Epoch: 1 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 1.2906 (1.2653) Boundary_loss: 0.013341 (0.013324) Loss: 1.3039 (1.2786) +2025-08-21,07:58:06 | INFO | Train Epoch: 1 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 1.2014 (1.2652) Boundary_loss: 0.013308 (0.013324) Loss: 1.2147 (1.2785) +2025-08-21,07:59:05 | INFO | Train Epoch: 1 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.88505 (1.2643) Boundary_loss: 0.013180 (0.013323) Loss: 0.89823 (1.2776) +2025-08-21,08:00:04 | INFO | Train Epoch: 1 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 1.1502 (1.2641) Boundary_loss: 0.013298 (0.013323) Loss: 1.1635 (1.2774) +2025-08-21,08:01:04 | INFO | Train Epoch: 1 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.594 Boundary Ratio: 0.100 Contrastive_loss: 1.2637 (1.2641) Boundary_loss: 0.013233 (0.013323) Loss: 1.2769 (1.2774) +2025-08-21,08:02:03 | INFO | Train Epoch: 1 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 1.1686 (1.2638) Boundary_loss: 0.013383 (0.013323) Loss: 1.1819 (1.2772) +2025-08-21,08:03:02 | INFO | Train Epoch: 1 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 1.0593 (1.2634) Boundary_loss: 0.013337 (0.013323) Loss: 1.0726 (1.2767) +2025-08-21,08:04:01 | INFO | Train Epoch: 1 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.525 Boundary Ratio: 0.100 Contrastive_loss: 1.0555 (1.2629) Boundary_loss: 0.013446 (0.013324) Loss: 1.0690 (1.2762) +2025-08-21,08:05:00 | INFO | Train Epoch: 1 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 1.1081 (1.2626) Boundary_loss: 0.013339 (0.013324) Loss: 1.1214 (1.2759) +2025-08-21,08:05:59 | INFO | Train Epoch: 1 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 1.1042 (1.2622) Boundary_loss: 0.013229 (0.013323) Loss: 1.1175 (1.2755) +2025-08-21,08:06:58 | INFO | Train Epoch: 1 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 1.0554 (1.2618) Boundary_loss: 0.013333 (0.013324) Loss: 1.0688 (1.2751) +2025-08-21,08:07:57 | INFO | Train Epoch: 1 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 1.1186 (1.2614) Boundary_loss: 0.013200 (0.013323) Loss: 1.1318 (1.2748) +2025-08-21,08:08:57 | INFO | Train Epoch: 1 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 1.0807 (1.2610) Boundary_loss: 0.013388 (0.013323) Loss: 1.0941 (1.2744) +2025-08-21,08:09:56 | INFO | Train Epoch: 1 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.768 Boundary Ratio: 0.101 Contrastive_loss: 1.0947 (1.2607) Boundary_loss: 0.013303 (0.013323) Loss: 1.1080 (1.2740) +2025-08-21,08:10:55 | INFO | Train Epoch: 1 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 1.0198 (1.2601) Boundary_loss: 0.013164 (0.013323) Loss: 1.0329 (1.2735) +2025-08-21,08:11:54 | INFO | Train Epoch: 1 [23245312/26365952 (88%)] Avg Boundaries (per batch): 18.924 Boundary Ratio: 0.097 Contrastive_loss: 1.0973 (1.2598) Boundary_loss: 0.013469 (0.013323) Loss: 1.1108 (1.2731) +2025-08-21,08:12:53 | INFO | Train Epoch: 1 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 0.97866 (1.2592) Boundary_loss: 0.013225 (0.013323) Loss: 0.99188 (1.2725) +2025-08-21,08:13:52 | INFO | Train Epoch: 1 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 1.0910 (1.2588) Boundary_loss: 0.013205 (0.013323) Loss: 1.1042 (1.2721) +2025-08-21,08:14:51 | INFO | Train Epoch: 1 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.89372 (1.2580) Boundary_loss: 0.013240 (0.013323) Loss: 0.90696 (1.2713) +2025-08-21,08:15:51 | INFO | Train Epoch: 1 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 1.1734 (1.2578) Boundary_loss: 0.013535 (0.013323) Loss: 1.1869 (1.2711) +2025-08-21,08:16:50 | INFO | Train Epoch: 1 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 1.1403 (1.2576) Boundary_loss: 0.013128 (0.013323) Loss: 1.1534 (1.2709) +2025-08-21,08:17:49 | INFO | Train Epoch: 1 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 1.0457 (1.2571) Boundary_loss: 0.013350 (0.013323) Loss: 1.0590 (1.2704) +2025-08-21,08:18:48 | INFO | Train Epoch: 1 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 1.2114 (1.2570) Boundary_loss: 0.013273 (0.013323) Loss: 1.2247 (1.2703) +2025-08-21,08:19:47 | INFO | Train Epoch: 1 [23654912/26365952 (90%)] Avg Boundaries (per batch): 18.840 Boundary Ratio: 0.096 Contrastive_loss: 1.0792 (1.2566) Boundary_loss: 0.013229 (0.013322) Loss: 1.0924 (1.2699) +2025-08-21,08:20:46 | INFO | Train Epoch: 1 [23706112/26365952 (90%)] Avg Boundaries (per batch): 20.049 Boundary Ratio: 0.102 Contrastive_loss: 1.1366 (1.2564) Boundary_loss: 0.013300 (0.013322) Loss: 1.1499 (1.2697) +2025-08-21,08:21:46 | INFO | Train Epoch: 1 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.658 Boundary Ratio: 0.100 Contrastive_loss: 1.1094 (1.2560) Boundary_loss: 0.013323 (0.013322) Loss: 1.1227 (1.2694) +2025-08-21,08:22:45 | INFO | Train Epoch: 1 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 1.2211 (1.2560) Boundary_loss: 0.013260 (0.013322) Loss: 1.2344 (1.2693) +2025-08-21,08:23:44 | INFO | Train Epoch: 1 [23859712/26365952 (90%)] Avg Boundaries (per batch): 18.914 Boundary Ratio: 0.097 Contrastive_loss: 0.98922 (1.2554) Boundary_loss: 0.013200 (0.013322) Loss: 1.0024 (1.2687) +2025-08-21,08:24:43 | INFO | Train Epoch: 1 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 1.2288 (1.2553) Boundary_loss: 0.013221 (0.013322) Loss: 1.2420 (1.2687) +2025-08-21,08:25:42 | INFO | Train Epoch: 1 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 1.2031 (1.2552) Boundary_loss: 0.013240 (0.013322) Loss: 1.2164 (1.2686) +2025-08-21,08:26:41 | INFO | Train Epoch: 1 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 1.0179 (1.2547) Boundary_loss: 0.013343 (0.013322) Loss: 1.0312 (1.2681) +2025-08-21,08:27:40 | INFO | Train Epoch: 1 [24064512/26365952 (91%)] Avg Boundaries (per batch): 18.951 Boundary Ratio: 0.097 Contrastive_loss: 0.95666 (1.2541) Boundary_loss: 0.013273 (0.013322) Loss: 0.96994 (1.2674) +2025-08-21,08:28:39 | INFO | Train Epoch: 1 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 1.0912 (1.2538) Boundary_loss: 0.013325 (0.013322) Loss: 1.1045 (1.2671) +2025-08-21,08:29:39 | INFO | Train Epoch: 1 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 1.0563 (1.2533) Boundary_loss: 0.013345 (0.013322) Loss: 1.0696 (1.2667) +2025-08-21,08:30:38 | INFO | Train Epoch: 1 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 1.1543 (1.2531) Boundary_loss: 0.013304 (0.013322) Loss: 1.1676 (1.2664) +2025-08-21,08:31:37 | INFO | Train Epoch: 1 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 1.1314 (1.2529) Boundary_loss: 0.013281 (0.013321) Loss: 1.1447 (1.2662) +2025-08-21,08:32:36 | INFO | Train Epoch: 1 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 1.0552 (1.2525) Boundary_loss: 0.013166 (0.013321) Loss: 1.0684 (1.2658) +2025-08-21,08:33:35 | INFO | Train Epoch: 1 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 1.1387 (1.2522) Boundary_loss: 0.013238 (0.013321) Loss: 1.1519 (1.2655) +2025-08-21,08:34:34 | INFO | Train Epoch: 1 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 1.1634 (1.2520) Boundary_loss: 0.013356 (0.013321) Loss: 1.1767 (1.2653) +2025-08-21,08:35:33 | INFO | Train Epoch: 1 [24474112/26365952 (93%)] Avg Boundaries (per batch): 18.846 Boundary Ratio: 0.096 Contrastive_loss: 1.0126 (1.2515) Boundary_loss: 0.013342 (0.013321) Loss: 1.0259 (1.2648) +2025-08-21,08:36:33 | INFO | Train Epoch: 1 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 1.0590 (1.2511) Boundary_loss: 0.013395 (0.013321) Loss: 1.0724 (1.2644) +2025-08-21,08:37:32 | INFO | Train Epoch: 1 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.525 Boundary Ratio: 0.100 Contrastive_loss: 1.0715 (1.2508) Boundary_loss: 0.013237 (0.013321) Loss: 1.0848 (1.2641) +2025-08-21,08:38:31 | INFO | Train Epoch: 1 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 1.0324 (1.2503) Boundary_loss: 0.013209 (0.013321) Loss: 1.0456 (1.2636) +2025-08-21,08:39:30 | INFO | Train Epoch: 1 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 1.0601 (1.2499) Boundary_loss: 0.013279 (0.013321) Loss: 1.0734 (1.2632) +2025-08-21,08:40:29 | INFO | Train Epoch: 1 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 1.1873 (1.2498) Boundary_loss: 0.013150 (0.013320) Loss: 1.2004 (1.2631) +2025-08-21,08:41:29 | INFO | Train Epoch: 1 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 1.0484 (1.2494) Boundary_loss: 0.013129 (0.013320) Loss: 1.0616 (1.2627) +2025-08-21,08:42:28 | INFO | Train Epoch: 1 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 1.0825 (1.2490) Boundary_loss: 0.013330 (0.013320) Loss: 1.0958 (1.2623) +2025-08-21,08:43:27 | INFO | Train Epoch: 1 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 1.1145 (1.2487) Boundary_loss: 0.013210 (0.013320) Loss: 1.1277 (1.2621) +2025-08-21,08:44:26 | INFO | Train Epoch: 1 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 1.0207 (1.2483) Boundary_loss: 0.013284 (0.013320) Loss: 1.0340 (1.2616) +2025-08-21,08:45:25 | INFO | Train Epoch: 1 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 1.1862 (1.2481) Boundary_loss: 0.013288 (0.013320) Loss: 1.1995 (1.2615) +2025-08-21,08:46:24 | INFO | Train Epoch: 1 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.96222 (1.2476) Boundary_loss: 0.013137 (0.013319) Loss: 0.97535 (1.2609) +2025-08-21,08:47:24 | INFO | Train Epoch: 1 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 1.1846 (1.2474) Boundary_loss: 0.013472 (0.013320) Loss: 1.1981 (1.2608) +2025-08-21,08:48:23 | INFO | Train Epoch: 1 [25139712/26365952 (95%)] Avg Boundaries (per batch): 18.820 Boundary Ratio: 0.096 Contrastive_loss: 1.0003 (1.2469) Boundary_loss: 0.013307 (0.013320) Loss: 1.0136 (1.2603) +2025-08-21,08:49:22 | INFO | Train Epoch: 1 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 1.0231 (1.2465) Boundary_loss: 0.013309 (0.013320) Loss: 1.0364 (1.2598) +2025-08-21,08:50:21 | INFO | Train Epoch: 1 [25242112/26365952 (96%)] Avg Boundaries (per batch): 18.910 Boundary Ratio: 0.096 Contrastive_loss: 1.1940 (1.2464) Boundary_loss: 0.013311 (0.013320) Loss: 1.2073 (1.2597) +2025-08-21,08:51:20 | INFO | Train Epoch: 1 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 1.0512 (1.2460) Boundary_loss: 0.013326 (0.013320) Loss: 1.0646 (1.2593) +2025-08-21,08:52:19 | INFO | Train Epoch: 1 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 1.1314 (1.2457) Boundary_loss: 0.013357 (0.013320) Loss: 1.1448 (1.2591) +2025-08-21,08:53:19 | INFO | Train Epoch: 1 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 1.1233 (1.2455) Boundary_loss: 0.013299 (0.013320) Loss: 1.1366 (1.2588) +2025-08-21,08:54:18 | INFO | Train Epoch: 1 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.99094 (1.2450) Boundary_loss: 0.013302 (0.013320) Loss: 1.0042 (1.2583) +2025-08-21,08:55:17 | INFO | Train Epoch: 1 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 1.2631 (1.2450) Boundary_loss: 0.013418 (0.013320) Loss: 1.2766 (1.2583) +2025-08-21,08:56:16 | INFO | Train Epoch: 1 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 1.2103 (1.2450) Boundary_loss: 0.013200 (0.013320) Loss: 1.2235 (1.2583) +2025-08-21,08:57:15 | INFO | Train Epoch: 1 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 1.0097 (1.2445) Boundary_loss: 0.013311 (0.013319) Loss: 1.0230 (1.2578) +2025-08-21,08:58:14 | INFO | Train Epoch: 1 [25651712/26365952 (97%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 0.98410 (1.2440) Boundary_loss: 0.013330 (0.013320) Loss: 0.99743 (1.2573) +2025-08-21,08:59:13 | INFO | Train Epoch: 1 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 1.1599 (1.2438) Boundary_loss: 0.013264 (0.013319) Loss: 1.1732 (1.2571) +2025-08-21,09:00:12 | INFO | Train Epoch: 1 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.90353 (1.2431) Boundary_loss: 0.013262 (0.013319) Loss: 0.91679 (1.2564) +2025-08-21,09:01:11 | INFO | Train Epoch: 1 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 1.0035 (1.2427) Boundary_loss: 0.013320 (0.013319) Loss: 1.0168 (1.2560) +2025-08-21,09:02:10 | INFO | Train Epoch: 1 [25856512/26365952 (98%)] Avg Boundaries (per batch): 18.924 Boundary Ratio: 0.097 Contrastive_loss: 1.0435 (1.2423) Boundary_loss: 0.013423 (0.013319) Loss: 1.0569 (1.2556) +2025-08-21,09:03:09 | INFO | Train Epoch: 1 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 1.0590 (1.2419) Boundary_loss: 0.013202 (0.013319) Loss: 1.0722 (1.2552) +2025-08-21,09:04:08 | INFO | Train Epoch: 1 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 1.0981 (1.2416) Boundary_loss: 0.013180 (0.013319) Loss: 1.1112 (1.2549) +2025-08-21,09:05:08 | INFO | Train Epoch: 1 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 1.0263 (1.2412) Boundary_loss: 0.013303 (0.013319) Loss: 1.0396 (1.2545) +2025-08-21,09:06:06 | INFO | Train Epoch: 1 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.97992 (1.2407) Boundary_loss: 0.013201 (0.013319) Loss: 0.99312 (1.2540) +2025-08-21,09:07:06 | INFO | Train Epoch: 1 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 1.0429 (1.2403) Boundary_loss: 0.013288 (0.013319) Loss: 1.0562 (1.2536) +2025-08-21,09:08:05 | INFO | Train Epoch: 1 [26163712/26365952 (99%)] Avg Boundaries (per batch): 18.912 Boundary Ratio: 0.096 Contrastive_loss: 1.0652 (1.2400) Boundary_loss: 0.013381 (0.013319) Loss: 1.0786 (1.2533) +2025-08-21,09:09:04 | INFO | Train Epoch: 1 [26214912/26365952 (99%)] Avg Boundaries (per batch): 18.986 Boundary Ratio: 0.097 Contrastive_loss: 1.1194 (1.2397) Boundary_loss: 0.013221 (0.013319) Loss: 1.1326 (1.2530) +2025-08-21,09:10:03 | INFO | Train Epoch: 1 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 1.0762 (1.2394) Boundary_loss: 0.013304 (0.013319) Loss: 1.0895 (1.2527) +2025-08-21,09:11:02 | INFO | Train Epoch: 1 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 1.0614 (1.2391) Boundary_loss: 0.013199 (0.013318) Loss: 1.0746 (1.2524) +2025-08-21,09:11:58 | INFO | Train Epoch: 1 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.98366 (1.2386) Boundary_loss: 0.013318 (0.013318) Loss: 0.99698 (1.2519) +2025-08-21,09:11:58 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-21,09:11:58 | INFO | [Epoch 1] Average Step Time: 0.594s | Average GPU Memory: 33.7 GB +2025-08-21,09:11:58 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-21,09:11:58 | INFO | Starting zero-shot imagenet. +2025-08-21,09:11:58 | INFO | Building zero-shot classifier +2025-08-21,09:12:07 | INFO | Using classifier +2025-08-21,09:12:51 | INFO | Finished zero-shot imagenet. +2025-08-21,09:12:51 | INFO | Eval Epoch: 2 imagenet-zeroshot-val-top1: 0.1779 imagenet-zeroshot-val-top5: 0.3872 +2025-08-21,09:12:52 | INFO | Start epoch 2 +2025-08-21,09:12:54 | INFO | Train Epoch: 2 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 1.0221 (1.0221) Boundary_loss: 0.013355 (0.013355) Loss: 1.0355 (1.0355) +2025-08-21,09:13:53 | INFO | Train Epoch: 2 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 1.0380 (1.0301) Boundary_loss: 0.013182 (0.013268) Loss: 1.0512 (1.0433) +2025-08-21,09:14:52 | INFO | Train Epoch: 2 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 1.1462 (1.0688) Boundary_loss: 0.013312 (0.013283) Loss: 1.1595 (1.0820) +2025-08-21,09:15:51 | INFO | Train Epoch: 2 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 1.0274 (1.0584) Boundary_loss: 0.013124 (0.013243) Loss: 1.0406 (1.0717) +2025-08-21,09:16:50 | INFO | Train Epoch: 2 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.96989 (1.0407) Boundary_loss: 0.013214 (0.013237) Loss: 0.98310 (1.0540) +2025-08-21,09:17:48 | INFO | Train Epoch: 2 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.94118 (1.0241) Boundary_loss: 0.013212 (0.013233) Loss: 0.95439 (1.0374) +2025-08-21,09:18:47 | INFO | Train Epoch: 2 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.98201 (1.0181) Boundary_loss: 0.013136 (0.013219) Loss: 0.99515 (1.0313) +2025-08-21,09:19:46 | INFO | Train Epoch: 2 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.004 Boundary Ratio: 0.097 Contrastive_loss: 1.0931 (1.0275) Boundary_loss: 0.013315 (0.013231) Loss: 1.1064 (1.0407) +2025-08-21,09:20:45 | INFO | Train Epoch: 2 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.90274 (1.0136) Boundary_loss: 0.013327 (0.013242) Loss: 0.91606 (1.0269) +2025-08-21,09:21:44 | INFO | Train Epoch: 2 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.96614 (1.0089) Boundary_loss: 0.013414 (0.013259) Loss: 0.97956 (1.0221) +2025-08-21,09:22:43 | INFO | Train Epoch: 2 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.82218 (0.99191) Boundary_loss: 0.013277 (0.013261) Loss: 0.83546 (1.0052) +2025-08-21,09:23:42 | INFO | Train Epoch: 2 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 1.0253 (0.99469) Boundary_loss: 0.013304 (0.013264) Loss: 1.0386 (1.0080) +2025-08-21,09:24:40 | INFO | Train Epoch: 2 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 1.1479 (1.0065) Boundary_loss: 0.013326 (0.013269) Loss: 1.1613 (1.0197) +2025-08-21,09:25:39 | INFO | Train Epoch: 2 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.97749 (1.0044) Boundary_loss: 0.013283 (0.013270) Loss: 0.99078 (1.0177) +2025-08-21,09:26:38 | INFO | Train Epoch: 2 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.744 Boundary Ratio: 0.101 Contrastive_loss: 1.0050 (1.0044) Boundary_loss: 0.013244 (0.013268) Loss: 1.0183 (1.0177) +2025-08-21,09:27:37 | INFO | Train Epoch: 2 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 18.939 Boundary Ratio: 0.097 Contrastive_loss: 0.85835 (0.99532) Boundary_loss: 0.013336 (0.013272) Loss: 0.87169 (1.0086) +2025-08-21,09:28:36 | INFO | Train Epoch: 2 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 1.0053 (0.99590) Boundary_loss: 0.013122 (0.013264) Loss: 1.0184 (1.0092) +2025-08-21,09:29:35 | INFO | Train Epoch: 2 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 1.0103 (0.99670) Boundary_loss: 0.013253 (0.013263) Loss: 1.0235 (1.0100) +2025-08-21,09:30:34 | INFO | Train Epoch: 2 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 18.939 Boundary Ratio: 0.097 Contrastive_loss: 0.88699 (0.99093) Boundary_loss: 0.013223 (0.013261) Loss: 0.90021 (1.0042) +2025-08-21,09:31:33 | INFO | Train Epoch: 2 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.678 Boundary Ratio: 0.100 Contrastive_loss: 0.88211 (0.98548) Boundary_loss: 0.013386 (0.013267) Loss: 0.89550 (0.99875) +2025-08-21,09:32:32 | INFO | Train Epoch: 2 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 1.1826 (0.99487) Boundary_loss: 0.013260 (0.013267) Loss: 1.1959 (1.0081) +2025-08-21,09:33:31 | INFO | Train Epoch: 2 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 1.1080 (1.0000) Boundary_loss: 0.013198 (0.013264) Loss: 1.1212 (1.0133) +2025-08-21,09:34:29 | INFO | Train Epoch: 2 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.96769 (0.99861) Boundary_loss: 0.013140 (0.013258) Loss: 0.98083 (1.0119) +2025-08-21,09:35:28 | INFO | Train Epoch: 2 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 1.0251 (0.99971) Boundary_loss: 0.013277 (0.013259) Loss: 1.0383 (1.0130) +2025-08-21,09:36:27 | INFO | Train Epoch: 2 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 0.95955 (0.99810) Boundary_loss: 0.013256 (0.013259) Loss: 0.97281 (1.0114) +2025-08-21,09:37:26 | INFO | Train Epoch: 2 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.96509 (0.99683) Boundary_loss: 0.013221 (0.013258) Loss: 0.97831 (1.0101) +2025-08-21,09:38:25 | INFO | Train Epoch: 2 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 18.844 Boundary Ratio: 0.096 Contrastive_loss: 1.0561 (0.99903) Boundary_loss: 0.013208 (0.013256) Loss: 1.0693 (1.0123) +2025-08-21,09:39:24 | INFO | Train Epoch: 2 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.98920 (0.99868) Boundary_loss: 0.013341 (0.013259) Loss: 1.0025 (1.0119) +2025-08-21,09:40:23 | INFO | Train Epoch: 2 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 1.0178 (0.99934) Boundary_loss: 0.013274 (0.013259) Loss: 1.0310 (1.0126) +2025-08-21,09:41:22 | INFO | Train Epoch: 2 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.99794 (0.99929) Boundary_loss: 0.013264 (0.013259) Loss: 1.0112 (1.0126) +2025-08-21,09:42:20 | INFO | Train Epoch: 2 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.90606 (0.99628) Boundary_loss: 0.013150 (0.013256) Loss: 0.91921 (1.0095) +2025-08-21,09:43:19 | INFO | Train Epoch: 2 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.91716 (0.99381) Boundary_loss: 0.013276 (0.013257) Loss: 0.93044 (1.0071) +2025-08-21,09:44:18 | INFO | Train Epoch: 2 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.95174 (0.99254) Boundary_loss: 0.013408 (0.013261) Loss: 0.96515 (1.0058) +2025-08-21,09:45:17 | INFO | Train Epoch: 2 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.97888 (0.99213) Boundary_loss: 0.013270 (0.013261) Loss: 0.99215 (1.0054) +2025-08-21,09:46:16 | INFO | Train Epoch: 2 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.90884 (0.98975) Boundary_loss: 0.013197 (0.013260) Loss: 0.92204 (1.0030) +2025-08-21,09:47:15 | INFO | Train Epoch: 2 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.99763 (0.98997) Boundary_loss: 0.013330 (0.013261) Loss: 1.0110 (1.0032) +2025-08-21,09:48:14 | INFO | Train Epoch: 2 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.97952 (0.98969) Boundary_loss: 0.013211 (0.013260) Loss: 0.99273 (1.0030) +2025-08-21,09:49:13 | INFO | Train Epoch: 2 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 1.0015 (0.99000) Boundary_loss: 0.013313 (0.013262) Loss: 1.0148 (1.0033) +2025-08-21,09:50:12 | INFO | Train Epoch: 2 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.88810 (0.98739) Boundary_loss: 0.013315 (0.013263) Loss: 0.90142 (1.0007) +2025-08-21,09:51:11 | INFO | Train Epoch: 2 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.615 Boundary Ratio: 0.100 Contrastive_loss: 1.0008 (0.98773) Boundary_loss: 0.013187 (0.013261) Loss: 1.0140 (1.0010) +2025-08-21,09:52:10 | INFO | Train Epoch: 2 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.83040 (0.98389) Boundary_loss: 0.013374 (0.013264) Loss: 0.84377 (0.99715) +2025-08-21,09:53:08 | INFO | Train Epoch: 2 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.607 Boundary Ratio: 0.100 Contrastive_loss: 0.98412 (0.98389) Boundary_loss: 0.013167 (0.013261) Loss: 0.99729 (0.99715) +2025-08-21,09:54:07 | INFO | Train Epoch: 2 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.92470 (0.98252) Boundary_loss: 0.013317 (0.013263) Loss: 0.93802 (0.99578) +2025-08-21,09:55:06 | INFO | Train Epoch: 2 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.590 Boundary Ratio: 0.100 Contrastive_loss: 1.0076 (0.98309) Boundary_loss: 0.013173 (0.013261) Loss: 1.0208 (0.99635) +2025-08-21,09:56:05 | INFO | Train Epoch: 2 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 1.0438 (0.98444) Boundary_loss: 0.013396 (0.013264) Loss: 1.0572 (0.99770) +2025-08-21,09:57:04 | INFO | Train Epoch: 2 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 1.1090 (0.98714) Boundary_loss: 0.013321 (0.013265) Loss: 1.1223 (1.0004) +2025-08-21,09:58:03 | INFO | Train Epoch: 2 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.97502 (0.98689) Boundary_loss: 0.013224 (0.013264) Loss: 0.98825 (1.0002) +2025-08-21,09:59:02 | INFO | Train Epoch: 2 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.96888 (0.98651) Boundary_loss: 0.013312 (0.013265) Loss: 0.98219 (0.99978) +2025-08-21,10:00:01 | INFO | Train Epoch: 2 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.96762 (0.98613) Boundary_loss: 0.013190 (0.013264) Loss: 0.98081 (0.99939) +2025-08-21,10:01:00 | INFO | Train Epoch: 2 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.93294 (0.98506) Boundary_loss: 0.013296 (0.013264) Loss: 0.94623 (0.99833) +2025-08-21,10:01:58 | INFO | Train Epoch: 2 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.86117 (0.98263) Boundary_loss: 0.013231 (0.013264) Loss: 0.87440 (0.99590) +2025-08-21,10:02:57 | INFO | Train Epoch: 2 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.95170 (0.98204) Boundary_loss: 0.013234 (0.013263) Loss: 0.96493 (0.99530) +2025-08-21,10:03:56 | INFO | Train Epoch: 2 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.87282 (0.97998) Boundary_loss: 0.013168 (0.013261) Loss: 0.88599 (0.99324) +2025-08-21,10:04:55 | INFO | Train Epoch: 2 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 1.0328 (0.98096) Boundary_loss: 0.013270 (0.013261) Loss: 1.0461 (0.99422) +2025-08-21,10:05:54 | INFO | Train Epoch: 2 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 1.0083 (0.98145) Boundary_loss: 0.013216 (0.013261) Loss: 1.0216 (0.99471) +2025-08-21,10:06:53 | INFO | Train Epoch: 2 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 1.1124 (0.98379) Boundary_loss: 0.013214 (0.013260) Loss: 1.1256 (0.99705) +2025-08-21,10:07:52 | INFO | Train Epoch: 2 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 1.0765 (0.98542) Boundary_loss: 0.013289 (0.013260) Loss: 1.0897 (0.99868) +2025-08-21,10:08:51 | INFO | Train Epoch: 2 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 1.1256 (0.98783) Boundary_loss: 0.013316 (0.013261) Loss: 1.1390 (1.0011) +2025-08-21,10:09:50 | INFO | Train Epoch: 2 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.96799 (0.98750) Boundary_loss: 0.013366 (0.013263) Loss: 0.98136 (1.0008) +2025-08-21,10:10:49 | INFO | Train Epoch: 2 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.89995 (0.98604) Boundary_loss: 0.013237 (0.013263) Loss: 0.91319 (0.99930) +2025-08-21,10:11:48 | INFO | Train Epoch: 2 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.94784 (0.98541) Boundary_loss: 0.013256 (0.013262) Loss: 0.96109 (0.99868) +2025-08-21,10:12:46 | INFO | Train Epoch: 2 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 18.941 Boundary Ratio: 0.097 Contrastive_loss: 1.0687 (0.98676) Boundary_loss: 0.013171 (0.013261) Loss: 1.0819 (1.0000) +2025-08-21,10:13:45 | INFO | Train Epoch: 2 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.90033 (0.98539) Boundary_loss: 0.013215 (0.013260) Loss: 0.91354 (0.99865) +2025-08-21,10:14:44 | INFO | Train Epoch: 2 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 1.0362 (0.98618) Boundary_loss: 0.013227 (0.013260) Loss: 1.0494 (0.99944) +2025-08-21,10:15:43 | INFO | Train Epoch: 2 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.94658 (0.98557) Boundary_loss: 0.013358 (0.013261) Loss: 0.95994 (0.99883) +2025-08-21,10:16:42 | INFO | Train Epoch: 2 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.91008 (0.98443) Boundary_loss: 0.013305 (0.013262) Loss: 0.92338 (0.99769) +2025-08-21,10:17:41 | INFO | Train Epoch: 2 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.96505 (0.98414) Boundary_loss: 0.013292 (0.013262) Loss: 0.97834 (0.99740) +2025-08-21,10:18:40 | INFO | Train Epoch: 2 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.86816 (0.98243) Boundary_loss: 0.013143 (0.013261) Loss: 0.88130 (0.99569) +2025-08-21,10:19:39 | INFO | Train Epoch: 2 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.97337 (0.98230) Boundary_loss: 0.013256 (0.013260) Loss: 0.98663 (0.99556) +2025-08-21,10:20:38 | INFO | Train Epoch: 2 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 1.0135 (0.98275) Boundary_loss: 0.013341 (0.013262) Loss: 1.0268 (0.99601) +2025-08-21,10:21:37 | INFO | Train Epoch: 2 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.95497 (0.98235) Boundary_loss: 0.013164 (0.013260) Loss: 0.96813 (0.99561) +2025-08-21,10:22:36 | INFO | Train Epoch: 2 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.87651 (0.98088) Boundary_loss: 0.013256 (0.013260) Loss: 0.88976 (0.99414) +2025-08-21,10:23:35 | INFO | Train Epoch: 2 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.97161 (0.98076) Boundary_loss: 0.013306 (0.013261) Loss: 0.98491 (0.99402) +2025-08-21,10:24:34 | INFO | Train Epoch: 2 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.88180 (0.97942) Boundary_loss: 0.013180 (0.013260) Loss: 0.89498 (0.99268) +2025-08-21,10:25:33 | INFO | Train Epoch: 2 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.95541 (0.97910) Boundary_loss: 0.013227 (0.013259) Loss: 0.96864 (0.99236) +2025-08-21,10:26:32 | INFO | Train Epoch: 2 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 1.0234 (0.97968) Boundary_loss: 0.013151 (0.013258) Loss: 1.0365 (0.99294) +2025-08-21,10:27:31 | INFO | Train Epoch: 2 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.98034 (0.97969) Boundary_loss: 0.013406 (0.013260) Loss: 0.99375 (0.99295) +2025-08-21,10:28:30 | INFO | Train Epoch: 2 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 1.0232 (0.98025) Boundary_loss: 0.013344 (0.013261) Loss: 1.0366 (0.99351) +2025-08-21,10:29:29 | INFO | Train Epoch: 2 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 1.0603 (0.98126) Boundary_loss: 0.013164 (0.013260) Loss: 1.0735 (0.99452) +2025-08-21,10:30:28 | INFO | Train Epoch: 2 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.93836 (0.98073) Boundary_loss: 0.013276 (0.013260) Loss: 0.95164 (0.99399) +2025-08-21,10:31:27 | INFO | Train Epoch: 2 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.92817 (0.98008) Boundary_loss: 0.013195 (0.013259) Loss: 0.94137 (0.99334) +2025-08-21,10:32:26 | INFO | Train Epoch: 2 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.574 Boundary Ratio: 0.100 Contrastive_loss: 1.0644 (0.98111) Boundary_loss: 0.013383 (0.013261) Loss: 1.0778 (0.99437) +2025-08-21,10:33:25 | INFO | Train Epoch: 2 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 18.834 Boundary Ratio: 0.096 Contrastive_loss: 0.80543 (0.97899) Boundary_loss: 0.013318 (0.013261) Loss: 0.81875 (0.99225) +2025-08-21,10:34:23 | INFO | Train Epoch: 2 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 1.0625 (0.97998) Boundary_loss: 0.013355 (0.013262) Loss: 1.0758 (0.99325) +2025-08-21,10:35:22 | INFO | Train Epoch: 2 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.97608 (0.97994) Boundary_loss: 0.013301 (0.013263) Loss: 0.98938 (0.99320) +2025-08-21,10:36:21 | INFO | Train Epoch: 2 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 0.98803 (0.98003) Boundary_loss: 0.013250 (0.013263) Loss: 1.0013 (0.99329) +2025-08-21,10:37:20 | INFO | Train Epoch: 2 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.83859 (0.97841) Boundary_loss: 0.013216 (0.013262) Loss: 0.85180 (0.99167) +2025-08-21,10:38:19 | INFO | Train Epoch: 2 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.80724 (0.97646) Boundary_loss: 0.013249 (0.013262) Loss: 0.82048 (0.98972) +2025-08-21,10:39:18 | INFO | Train Epoch: 2 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 1.0344 (0.97711) Boundary_loss: 0.013135 (0.013261) Loss: 1.0475 (0.99037) +2025-08-21,10:40:17 | INFO | Train Epoch: 2 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.83110 (0.97549) Boundary_loss: 0.013255 (0.013260) Loss: 0.84436 (0.98875) +2025-08-21,10:41:16 | INFO | Train Epoch: 2 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 1.0246 (0.97603) Boundary_loss: 0.013236 (0.013260) Loss: 1.0379 (0.98929) +2025-08-21,10:42:15 | INFO | Train Epoch: 2 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.666 Boundary Ratio: 0.100 Contrastive_loss: 0.84840 (0.97464) Boundary_loss: 0.013371 (0.013261) Loss: 0.86177 (0.98790) +2025-08-21,10:43:14 | INFO | Train Epoch: 2 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.551 Boundary Ratio: 0.100 Contrastive_loss: 0.86316 (0.97344) Boundary_loss: 0.013055 (0.013259) Loss: 0.87622 (0.98670) +2025-08-21,10:44:13 | INFO | Train Epoch: 2 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.89811 (0.97264) Boundary_loss: 0.013224 (0.013259) Loss: 0.91133 (0.98590) +2025-08-21,10:45:12 | INFO | Train Epoch: 2 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.88762 (0.97175) Boundary_loss: 0.013283 (0.013259) Loss: 0.90091 (0.98501) +2025-08-21,10:46:11 | INFO | Train Epoch: 2 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.94195 (0.97144) Boundary_loss: 0.013214 (0.013259) Loss: 0.95516 (0.98469) +2025-08-21,10:47:10 | INFO | Train Epoch: 2 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 1.0834 (0.97259) Boundary_loss: 0.013216 (0.013258) Loss: 1.0966 (0.98585) +2025-08-21,10:48:08 | INFO | Train Epoch: 2 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.99922 (0.97286) Boundary_loss: 0.013223 (0.013258) Loss: 1.0124 (0.98612) +2025-08-21,10:49:07 | INFO | Train Epoch: 2 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.95955 (0.97273) Boundary_loss: 0.013465 (0.013260) Loss: 0.97302 (0.98599) +2025-08-21,10:50:06 | INFO | Train Epoch: 2 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.89105 (0.97191) Boundary_loss: 0.013257 (0.013260) Loss: 0.90431 (0.98517) +2025-08-21,10:51:05 | INFO | Train Epoch: 2 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.85231 (0.97073) Boundary_loss: 0.013286 (0.013260) Loss: 0.86560 (0.98399) +2025-08-21,10:52:04 | INFO | Train Epoch: 2 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 1.0084 (0.97110) Boundary_loss: 0.013195 (0.013260) Loss: 1.0216 (0.98436) +2025-08-21,10:53:03 | INFO | Train Epoch: 2 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 1.0564 (0.97192) Boundary_loss: 0.013285 (0.013260) Loss: 1.0697 (0.98518) +2025-08-21,10:54:02 | INFO | Train Epoch: 2 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.713 Boundary Ratio: 0.101 Contrastive_loss: 0.90074 (0.97124) Boundary_loss: 0.013198 (0.013259) Loss: 0.91394 (0.98450) +2025-08-21,10:55:01 | INFO | Train Epoch: 2 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.92199 (0.97077) Boundary_loss: 0.013268 (0.013259) Loss: 0.93526 (0.98403) +2025-08-21,10:56:00 | INFO | Train Epoch: 2 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.84976 (0.96963) Boundary_loss: 0.013252 (0.013259) Loss: 0.86301 (0.98289) +2025-08-21,10:56:59 | INFO | Train Epoch: 2 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.87099 (0.96871) Boundary_loss: 0.013319 (0.013260) Loss: 0.88431 (0.98197) +2025-08-21,10:57:58 | INFO | Train Epoch: 2 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.88108 (0.96790) Boundary_loss: 0.013270 (0.013260) Loss: 0.89435 (0.98116) +2025-08-21,10:58:57 | INFO | Train Epoch: 2 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.88611 (0.96715) Boundary_loss: 0.013200 (0.013259) Loss: 0.89931 (0.98040) +2025-08-21,10:59:56 | INFO | Train Epoch: 2 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 1.0169 (0.96760) Boundary_loss: 0.013287 (0.013260) Loss: 1.0302 (0.98086) +2025-08-21,11:00:55 | INFO | Train Epoch: 2 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.84716 (0.96651) Boundary_loss: 0.013266 (0.013260) Loss: 0.86043 (0.97977) +2025-08-21,11:01:54 | INFO | Train Epoch: 2 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 18.693 Boundary Ratio: 0.095 Contrastive_loss: 0.89194 (0.96585) Boundary_loss: 0.013500 (0.013262) Loss: 0.90544 (0.97911) +2025-08-21,11:02:53 | INFO | Train Epoch: 2 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.86426 (0.96495) Boundary_loss: 0.013174 (0.013261) Loss: 0.87743 (0.97821) +2025-08-21,11:03:52 | INFO | Train Epoch: 2 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.82851 (0.96375) Boundary_loss: 0.013116 (0.013260) Loss: 0.84163 (0.97701) +2025-08-21,11:04:50 | INFO | Train Epoch: 2 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.672 Boundary Ratio: 0.100 Contrastive_loss: 0.89217 (0.96313) Boundary_loss: 0.013218 (0.013259) Loss: 0.90539 (0.97639) +2025-08-21,11:05:49 | INFO | Train Epoch: 2 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 0.92100 (0.96277) Boundary_loss: 0.013188 (0.013259) Loss: 0.93419 (0.97602) +2025-08-21,11:06:48 | INFO | Train Epoch: 2 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.764 Boundary Ratio: 0.101 Contrastive_loss: 0.90465 (0.96227) Boundary_loss: 0.013331 (0.013259) Loss: 0.91798 (0.97553) +2025-08-21,11:07:47 | INFO | Train Epoch: 2 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.594 Boundary Ratio: 0.100 Contrastive_loss: 0.92012 (0.96191) Boundary_loss: 0.013242 (0.013259) Loss: 0.93337 (0.97517) +2025-08-21,11:08:46 | INFO | Train Epoch: 2 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.96659 (0.96195) Boundary_loss: 0.013407 (0.013260) Loss: 0.97999 (0.97521) +2025-08-21,11:09:45 | INFO | Train Epoch: 2 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.87045 (0.96119) Boundary_loss: 0.013130 (0.013259) Loss: 0.88358 (0.97445) +2025-08-21,11:10:44 | INFO | Train Epoch: 2 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.96012 (0.96118) Boundary_loss: 0.013356 (0.013260) Loss: 0.97348 (0.97444) +2025-08-21,11:11:43 | INFO | Train Epoch: 2 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.87796 (0.96050) Boundary_loss: 0.013163 (0.013259) Loss: 0.89112 (0.97376) +2025-08-21,11:12:42 | INFO | Train Epoch: 2 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.95761 (0.96047) Boundary_loss: 0.013258 (0.013259) Loss: 0.97087 (0.97373) +2025-08-21,11:13:41 | INFO | Train Epoch: 2 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 18.775 Boundary Ratio: 0.096 Contrastive_loss: 0.82148 (0.95935) Boundary_loss: 0.013351 (0.013260) Loss: 0.83483 (0.97261) +2025-08-21,11:14:40 | INFO | Train Epoch: 2 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.81387 (0.95819) Boundary_loss: 0.013270 (0.013260) Loss: 0.82714 (0.97145) +2025-08-21,11:15:39 | INFO | Train Epoch: 2 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.89416 (0.95768) Boundary_loss: 0.013119 (0.013259) Loss: 0.90728 (0.97094) +2025-08-21,11:16:38 | INFO | Train Epoch: 2 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.87002 (0.95699) Boundary_loss: 0.013226 (0.013259) Loss: 0.88325 (0.97025) +2025-08-21,11:17:37 | INFO | Train Epoch: 2 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 1.0278 (0.95754) Boundary_loss: 0.013210 (0.013258) Loss: 1.0410 (0.97080) +2025-08-21,11:18:35 | INFO | Train Epoch: 2 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.86749 (0.95685) Boundary_loss: 0.013269 (0.013258) Loss: 0.88076 (0.97010) +2025-08-21,11:19:34 | INFO | Train Epoch: 2 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.766 Boundary Ratio: 0.101 Contrastive_loss: 0.92778 (0.95662) Boundary_loss: 0.013132 (0.013258) Loss: 0.94091 (0.96988) +2025-08-21,11:20:33 | INFO | Train Epoch: 2 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.94984 (0.95657) Boundary_loss: 0.013277 (0.013258) Loss: 0.96312 (0.96983) +2025-08-21,11:21:32 | INFO | Train Epoch: 2 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.85500 (0.95580) Boundary_loss: 0.013257 (0.013258) Loss: 0.86825 (0.96906) +2025-08-21,11:22:31 | INFO | Train Epoch: 2 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 18.816 Boundary Ratio: 0.096 Contrastive_loss: 1.0716 (0.95667) Boundary_loss: 0.013163 (0.013257) Loss: 1.0848 (0.96993) +2025-08-21,11:23:31 | INFO | Train Epoch: 2 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 1.0137 (0.95710) Boundary_loss: 0.013331 (0.013257) Loss: 1.0271 (0.97036) +2025-08-21,11:24:29 | INFO | Train Epoch: 2 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.95633 (0.95709) Boundary_loss: 0.013168 (0.013257) Loss: 0.96949 (0.97035) +2025-08-21,11:25:28 | INFO | Train Epoch: 2 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.84662 (0.95628) Boundary_loss: 0.013231 (0.013257) Loss: 0.85985 (0.96954) +2025-08-21,11:26:27 | INFO | Train Epoch: 2 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.82291 (0.95531) Boundary_loss: 0.013170 (0.013256) Loss: 0.83608 (0.96856) +2025-08-21,11:27:26 | INFO | Train Epoch: 2 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.87940 (0.95476) Boundary_loss: 0.013250 (0.013256) Loss: 0.89265 (0.96801) +2025-08-21,11:28:25 | INFO | Train Epoch: 2 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.79636 (0.95362) Boundary_loss: 0.013274 (0.013256) Loss: 0.80963 (0.96687) +2025-08-21,11:29:24 | INFO | Train Epoch: 2 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 1.0132 (0.95404) Boundary_loss: 0.013135 (0.013255) Loss: 1.0263 (0.96730) +2025-08-21,11:30:23 | INFO | Train Epoch: 2 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 18.900 Boundary Ratio: 0.096 Contrastive_loss: 0.99462 (0.95433) Boundary_loss: 0.013198 (0.013255) Loss: 1.0078 (0.96758) +2025-08-21,11:31:22 | INFO | Train Epoch: 2 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 0.88287 (0.95383) Boundary_loss: 0.013352 (0.013256) Loss: 0.89622 (0.96708) +2025-08-21,11:32:21 | INFO | Train Epoch: 2 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.91637 (0.95356) Boundary_loss: 0.013233 (0.013255) Loss: 0.92960 (0.96682) +2025-08-21,11:33:20 | INFO | Train Epoch: 2 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 18.865 Boundary Ratio: 0.096 Contrastive_loss: 0.95837 (0.95360) Boundary_loss: 0.013270 (0.013255) Loss: 0.97164 (0.96685) +2025-08-21,11:34:19 | INFO | Train Epoch: 2 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.93081 (0.95344) Boundary_loss: 0.013130 (0.013255) Loss: 0.94394 (0.96670) +2025-08-21,11:35:18 | INFO | Train Epoch: 2 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.92268 (0.95323) Boundary_loss: 0.013225 (0.013254) Loss: 0.93591 (0.96648) +2025-08-21,11:36:17 | INFO | Train Epoch: 2 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.89962 (0.95287) Boundary_loss: 0.013242 (0.013254) Loss: 0.91286 (0.96612) +2025-08-21,11:37:16 | INFO | Train Epoch: 2 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.94603 (0.95282) Boundary_loss: 0.013241 (0.013254) Loss: 0.95927 (0.96607) +2025-08-21,11:38:15 | INFO | Train Epoch: 2 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.98080 (0.95301) Boundary_loss: 0.013228 (0.013254) Loss: 0.99402 (0.96626) +2025-08-21,11:39:14 | INFO | Train Epoch: 2 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.88046 (0.95252) Boundary_loss: 0.013198 (0.013254) Loss: 0.89365 (0.96578) +2025-08-21,11:40:13 | INFO | Train Epoch: 2 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.91359 (0.95227) Boundary_loss: 0.013239 (0.013254) Loss: 0.92683 (0.96552) +2025-08-21,11:41:12 | INFO | Train Epoch: 2 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.90995 (0.95199) Boundary_loss: 0.013302 (0.013254) Loss: 0.92325 (0.96524) +2025-08-21,11:42:11 | INFO | Train Epoch: 2 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.91640 (0.95175) Boundary_loss: 0.013216 (0.013254) Loss: 0.92962 (0.96501) +2025-08-21,11:43:10 | INFO | Train Epoch: 2 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.99878 (0.95206) Boundary_loss: 0.013385 (0.013254) Loss: 1.0122 (0.96531) +2025-08-21,11:44:09 | INFO | Train Epoch: 2 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.97183 (0.95219) Boundary_loss: 0.013202 (0.013254) Loss: 0.98503 (0.96544) +2025-08-21,11:45:08 | INFO | Train Epoch: 2 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.84437 (0.95150) Boundary_loss: 0.013378 (0.013255) Loss: 0.85774 (0.96475) +2025-08-21,11:46:07 | INFO | Train Epoch: 2 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.95794 (0.95154) Boundary_loss: 0.013432 (0.013256) Loss: 0.97138 (0.96479) +2025-08-21,11:47:06 | INFO | Train Epoch: 2 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.90906 (0.95127) Boundary_loss: 0.013144 (0.013255) Loss: 0.92220 (0.96452) +2025-08-21,11:48:05 | INFO | Train Epoch: 2 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.98156 (0.95146) Boundary_loss: 0.013151 (0.013255) Loss: 0.99471 (0.96471) +2025-08-21,11:49:04 | INFO | Train Epoch: 2 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.684 Boundary Ratio: 0.100 Contrastive_loss: 0.84301 (0.95078) Boundary_loss: 0.013394 (0.013256) Loss: 0.85641 (0.96404) +2025-08-21,11:50:03 | INFO | Train Epoch: 2 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 1.0277 (0.95126) Boundary_loss: 0.013281 (0.013256) Loss: 1.0409 (0.96451) +2025-08-21,11:51:02 | INFO | Train Epoch: 2 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.777 Boundary Ratio: 0.101 Contrastive_loss: 0.71956 (0.94983) Boundary_loss: 0.013376 (0.013256) Loss: 0.73294 (0.96309) +2025-08-21,11:52:01 | INFO | Train Epoch: 2 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.89693 (0.94950) Boundary_loss: 0.013261 (0.013257) Loss: 0.91019 (0.96276) +2025-08-21,11:53:00 | INFO | Train Epoch: 2 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.82559 (0.94875) Boundary_loss: 0.013364 (0.013257) Loss: 0.83896 (0.96201) +2025-08-21,11:53:59 | INFO | Train Epoch: 2 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 18.738 Boundary Ratio: 0.096 Contrastive_loss: 0.93701 (0.94868) Boundary_loss: 0.013407 (0.013258) Loss: 0.95042 (0.96194) +2025-08-21,11:54:58 | INFO | Train Epoch: 2 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.87612 (0.94824) Boundary_loss: 0.013255 (0.013258) Loss: 0.88937 (0.96150) +2025-08-21,11:55:57 | INFO | Train Epoch: 2 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.81737 (0.94746) Boundary_loss: 0.013171 (0.013258) Loss: 0.83054 (0.96071) +2025-08-21,11:56:56 | INFO | Train Epoch: 2 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.93612 (0.94739) Boundary_loss: 0.013174 (0.013257) Loss: 0.94930 (0.96065) +2025-08-21,11:57:55 | INFO | Train Epoch: 2 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.91810 (0.94722) Boundary_loss: 0.013236 (0.013257) Loss: 0.93133 (0.96047) +2025-08-21,11:58:54 | INFO | Train Epoch: 2 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.76759 (0.94616) Boundary_loss: 0.013316 (0.013257) Loss: 0.78091 (0.95942) +2025-08-21,11:59:53 | INFO | Train Epoch: 2 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.791 Boundary Ratio: 0.101 Contrastive_loss: 0.86865 (0.94571) Boundary_loss: 0.013133 (0.013257) Loss: 0.88178 (0.95896) +2025-08-21,12:00:52 | INFO | Train Epoch: 2 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.574 Boundary Ratio: 0.100 Contrastive_loss: 0.97479 (0.94588) Boundary_loss: 0.013254 (0.013257) Loss: 0.98804 (0.95913) +2025-08-21,12:01:51 | INFO | Train Epoch: 2 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.94778 (0.94589) Boundary_loss: 0.013186 (0.013256) Loss: 0.96096 (0.95914) +2025-08-21,12:02:50 | INFO | Train Epoch: 2 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 0.97598 (0.94606) Boundary_loss: 0.013213 (0.013256) Loss: 0.98919 (0.95931) +2025-08-21,12:03:49 | INFO | Train Epoch: 2 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.97780 (0.94624) Boundary_loss: 0.013203 (0.013256) Loss: 0.99100 (0.95950) +2025-08-21,12:04:48 | INFO | Train Epoch: 2 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.95898 (0.94631) Boundary_loss: 0.013164 (0.013255) Loss: 0.97214 (0.95957) +2025-08-21,12:05:47 | INFO | Train Epoch: 2 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 0.90091 (0.94606) Boundary_loss: 0.013278 (0.013255) Loss: 0.91419 (0.95931) +2025-08-21,12:06:46 | INFO | Train Epoch: 2 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.86481 (0.94560) Boundary_loss: 0.013238 (0.013255) Loss: 0.87805 (0.95885) +2025-08-21,12:07:45 | INFO | Train Epoch: 2 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.86968 (0.94518) Boundary_loss: 0.013074 (0.013254) Loss: 0.88276 (0.95843) +2025-08-21,12:08:44 | INFO | Train Epoch: 2 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.92959 (0.94509) Boundary_loss: 0.013200 (0.013254) Loss: 0.94279 (0.95834) +2025-08-21,12:09:43 | INFO | Train Epoch: 2 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.86786 (0.94466) Boundary_loss: 0.013130 (0.013253) Loss: 0.88099 (0.95792) +2025-08-21,12:10:42 | INFO | Train Epoch: 2 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.80138 (0.94388) Boundary_loss: 0.013349 (0.013254) Loss: 0.81472 (0.95713) +2025-08-21,12:11:41 | INFO | Train Epoch: 2 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 1.0486 (0.94445) Boundary_loss: 0.013279 (0.013254) Loss: 1.0619 (0.95770) +2025-08-21,12:12:40 | INFO | Train Epoch: 2 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.95507 (0.94451) Boundary_loss: 0.013080 (0.013253) Loss: 0.96815 (0.95776) +2025-08-21,12:13:39 | INFO | Train Epoch: 2 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.72358 (0.94331) Boundary_loss: 0.013263 (0.013253) Loss: 0.73685 (0.95656) +2025-08-21,12:14:38 | INFO | Train Epoch: 2 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.96349 (0.94342) Boundary_loss: 0.013379 (0.013254) Loss: 0.97687 (0.95667) +2025-08-21,12:15:37 | INFO | Train Epoch: 2 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.727 Boundary Ratio: 0.101 Contrastive_loss: 0.71775 (0.94221) Boundary_loss: 0.013196 (0.013253) Loss: 0.73095 (0.95547) +2025-08-21,12:16:36 | INFO | Train Epoch: 2 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.73466 (0.94111) Boundary_loss: 0.013089 (0.013252) Loss: 0.74775 (0.95436) +2025-08-21,12:17:35 | INFO | Train Epoch: 2 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.90214 (0.94090) Boundary_loss: 0.013169 (0.013252) Loss: 0.91531 (0.95415) +2025-08-21,12:18:34 | INFO | Train Epoch: 2 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.748 Boundary Ratio: 0.101 Contrastive_loss: 0.95280 (0.94097) Boundary_loss: 0.013207 (0.013252) Loss: 0.96601 (0.95422) +2025-08-21,12:19:33 | INFO | Train Epoch: 2 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.94228 (0.94097) Boundary_loss: 0.013231 (0.013252) Loss: 0.95551 (0.95422) +2025-08-21,12:20:32 | INFO | Train Epoch: 2 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.85862 (0.94054) Boundary_loss: 0.013182 (0.013251) Loss: 0.87180 (0.95379) +2025-08-21,12:21:31 | INFO | Train Epoch: 2 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.90466 (0.94036) Boundary_loss: 0.013292 (0.013251) Loss: 0.91796 (0.95361) +2025-08-21,12:22:30 | INFO | Train Epoch: 2 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 18.791 Boundary Ratio: 0.096 Contrastive_loss: 0.83346 (0.93981) Boundary_loss: 0.013317 (0.013252) Loss: 0.84677 (0.95306) +2025-08-21,12:23:29 | INFO | Train Epoch: 2 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.96024 (0.93991) Boundary_loss: 0.013186 (0.013251) Loss: 0.97343 (0.95316) +2025-08-21,12:24:28 | INFO | Train Epoch: 2 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.742 Boundary Ratio: 0.101 Contrastive_loss: 0.79151 (0.93915) Boundary_loss: 0.013207 (0.013251) Loss: 0.80471 (0.95241) +2025-08-21,12:25:27 | INFO | Train Epoch: 2 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.635 Boundary Ratio: 0.100 Contrastive_loss: 0.93535 (0.93913) Boundary_loss: 0.013283 (0.013251) Loss: 0.94863 (0.95239) +2025-08-21,12:26:26 | INFO | Train Epoch: 2 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.86141 (0.93874) Boundary_loss: 0.013264 (0.013251) Loss: 0.87467 (0.95199) +2025-08-21,12:27:25 | INFO | Train Epoch: 2 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.93277 (0.93871) Boundary_loss: 0.013350 (0.013252) Loss: 0.94612 (0.95196) +2025-08-21,12:28:24 | INFO | Train Epoch: 2 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.89687 (0.93850) Boundary_loss: 0.013196 (0.013252) Loss: 0.91006 (0.95175) +2025-08-21,12:29:23 | INFO | Train Epoch: 2 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.80810 (0.93785) Boundary_loss: 0.013332 (0.013252) Loss: 0.82143 (0.95111) +2025-08-21,12:30:22 | INFO | Train Epoch: 2 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.91819 (0.93776) Boundary_loss: 0.013336 (0.013252) Loss: 0.93153 (0.95101) +2025-08-21,12:31:21 | INFO | Train Epoch: 2 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.762 Boundary Ratio: 0.101 Contrastive_loss: 0.91337 (0.93764) Boundary_loss: 0.013251 (0.013252) Loss: 0.92662 (0.95089) +2025-08-21,12:32:20 | INFO | Train Epoch: 2 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.79037 (0.93691) Boundary_loss: 0.013254 (0.013252) Loss: 0.80363 (0.95017) +2025-08-21,12:33:19 | INFO | Train Epoch: 2 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.81164 (0.93630) Boundary_loss: 0.013206 (0.013252) Loss: 0.82484 (0.94956) +2025-08-21,12:34:18 | INFO | Train Epoch: 2 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 0.91717 (0.93621) Boundary_loss: 0.013383 (0.013253) Loss: 0.93055 (0.94946) +2025-08-21,12:35:17 | INFO | Train Epoch: 2 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.77619 (0.93544) Boundary_loss: 0.013325 (0.013253) Loss: 0.78951 (0.94869) +2025-08-21,12:36:16 | INFO | Train Epoch: 2 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.93393 (0.93543) Boundary_loss: 0.013299 (0.013253) Loss: 0.94723 (0.94868) +2025-08-21,12:37:15 | INFO | Train Epoch: 2 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.87523 (0.93514) Boundary_loss: 0.013171 (0.013253) Loss: 0.88840 (0.94840) +2025-08-21,12:38:14 | INFO | Train Epoch: 2 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.87830 (0.93487) Boundary_loss: 0.013202 (0.013253) Loss: 0.89150 (0.94812) +2025-08-21,12:39:13 | INFO | Train Epoch: 2 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.88746 (0.93465) Boundary_loss: 0.013319 (0.013253) Loss: 0.90078 (0.94790) +2025-08-21,12:40:12 | INFO | Train Epoch: 2 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 1.0194 (0.93505) Boundary_loss: 0.013220 (0.013253) Loss: 1.0326 (0.94830) +2025-08-21,12:41:11 | INFO | Train Epoch: 2 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.88300 (0.93480) Boundary_loss: 0.013184 (0.013253) Loss: 0.89618 (0.94805) +2025-08-21,12:42:10 | INFO | Train Epoch: 2 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.99324 (0.93508) Boundary_loss: 0.013250 (0.013253) Loss: 1.0065 (0.94833) +2025-08-21,12:43:09 | INFO | Train Epoch: 2 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.92160 (0.93501) Boundary_loss: 0.013167 (0.013252) Loss: 0.93476 (0.94826) +2025-08-21,12:44:08 | INFO | Train Epoch: 2 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.652 Boundary Ratio: 0.100 Contrastive_loss: 0.86680 (0.93470) Boundary_loss: 0.013150 (0.013252) Loss: 0.87995 (0.94795) +2025-08-21,12:45:07 | INFO | Train Epoch: 2 [11059712/26365952 (42%)] Avg Boundaries (per batch): 18.895 Boundary Ratio: 0.096 Contrastive_loss: 0.97587 (0.93489) Boundary_loss: 0.013224 (0.013252) Loss: 0.98910 (0.94814) +2025-08-21,12:46:06 | INFO | Train Epoch: 2 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.98329 (0.93511) Boundary_loss: 0.013343 (0.013252) Loss: 0.99664 (0.94836) +2025-08-21,12:47:05 | INFO | Train Epoch: 2 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.74913 (0.93426) Boundary_loss: 0.013276 (0.013252) Loss: 0.76241 (0.94751) +2025-08-21,12:48:04 | INFO | Train Epoch: 2 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.93633 (0.93427) Boundary_loss: 0.013201 (0.013252) Loss: 0.94953 (0.94752) +2025-08-21,12:49:03 | INFO | Train Epoch: 2 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.88411 (0.93404) Boundary_loss: 0.013249 (0.013252) Loss: 0.89736 (0.94729) +2025-08-21,12:50:02 | INFO | Train Epoch: 2 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.803 Boundary Ratio: 0.101 Contrastive_loss: 1.0554 (0.93459) Boundary_loss: 0.013234 (0.013252) Loss: 1.0686 (0.94784) +2025-08-21,12:51:01 | INFO | Train Epoch: 2 [11366912/26365952 (43%)] Avg Boundaries (per batch): 18.693 Boundary Ratio: 0.095 Contrastive_loss: 0.86151 (0.93426) Boundary_loss: 0.013227 (0.013252) Loss: 0.87473 (0.94751) +2025-08-21,12:52:00 | INFO | Train Epoch: 2 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.604 Boundary Ratio: 0.100 Contrastive_loss: 0.79961 (0.93366) Boundary_loss: 0.013368 (0.013252) Loss: 0.81298 (0.94691) +2025-08-21,12:52:59 | INFO | Train Epoch: 2 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.770 Boundary Ratio: 0.101 Contrastive_loss: 1.0134 (0.93401) Boundary_loss: 0.013380 (0.013253) Loss: 1.0268 (0.94727) +2025-08-21,12:53:58 | INFO | Train Epoch: 2 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.623 Boundary Ratio: 0.100 Contrastive_loss: 0.95834 (0.93412) Boundary_loss: 0.013159 (0.013252) Loss: 0.97150 (0.94737) +2025-08-21,12:54:57 | INFO | Train Epoch: 2 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.650 Boundary Ratio: 0.100 Contrastive_loss: 0.90257 (0.93398) Boundary_loss: 0.013108 (0.013252) Loss: 0.91568 (0.94723) +2025-08-21,12:55:56 | INFO | Train Epoch: 2 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.95576 (0.93408) Boundary_loss: 0.013211 (0.013252) Loss: 0.96897 (0.94733) +2025-08-21,12:56:55 | INFO | Train Epoch: 2 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.95064 (0.93415) Boundary_loss: 0.013147 (0.013251) Loss: 0.96378 (0.94740) +2025-08-21,12:57:54 | INFO | Train Epoch: 2 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.80900 (0.93361) Boundary_loss: 0.013228 (0.013251) Loss: 0.82222 (0.94686) +2025-08-21,12:58:53 | INFO | Train Epoch: 2 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.81611 (0.93310) Boundary_loss: 0.013145 (0.013251) Loss: 0.82925 (0.94635) +2025-08-21,12:59:52 | INFO | Train Epoch: 2 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.89720 (0.93294) Boundary_loss: 0.013240 (0.013250) Loss: 0.91044 (0.94619) +2025-08-21,13:00:51 | INFO | Train Epoch: 2 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.627 Boundary Ratio: 0.100 Contrastive_loss: 0.83746 (0.93253) Boundary_loss: 0.013291 (0.013251) Loss: 0.85075 (0.94578) +2025-08-21,13:01:50 | INFO | Train Epoch: 2 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.86867 (0.93226) Boundary_loss: 0.013216 (0.013251) Loss: 0.88189 (0.94551) +2025-08-21,13:02:49 | INFO | Train Epoch: 2 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.70646 (0.93130) Boundary_loss: 0.013242 (0.013250) Loss: 0.71970 (0.94455) +2025-08-21,13:03:47 | INFO | Train Epoch: 2 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.689 Boundary Ratio: 0.100 Contrastive_loss: 0.90874 (0.93120) Boundary_loss: 0.013156 (0.013250) Loss: 0.92190 (0.94445) +2025-08-21,13:04:46 | INFO | Train Epoch: 2 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.95356 (0.93130) Boundary_loss: 0.013386 (0.013251) Loss: 0.96694 (0.94455) +2025-08-21,13:05:46 | INFO | Train Epoch: 2 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.88860 (0.93112) Boundary_loss: 0.013272 (0.013251) Loss: 0.90187 (0.94437) +2025-08-21,13:06:45 | INFO | Train Epoch: 2 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.80523 (0.93059) Boundary_loss: 0.013289 (0.013251) Loss: 0.81852 (0.94384) +2025-08-21,13:07:44 | INFO | Train Epoch: 2 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.87573 (0.93036) Boundary_loss: 0.013362 (0.013251) Loss: 0.88909 (0.94361) +2025-08-21,13:08:43 | INFO | Train Epoch: 2 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.76865 (0.92969) Boundary_loss: 0.013146 (0.013251) Loss: 0.78180 (0.94294) +2025-08-21,13:09:42 | INFO | Train Epoch: 2 [12339712/26365952 (47%)] Avg Boundaries (per batch): 18.826 Boundary Ratio: 0.096 Contrastive_loss: 0.87024 (0.92945) Boundary_loss: 0.013202 (0.013251) Loss: 0.88344 (0.94270) +2025-08-21,13:10:41 | INFO | Train Epoch: 2 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.82841 (0.92903) Boundary_loss: 0.013021 (0.013250) Loss: 0.84143 (0.94228) +2025-08-21,13:11:40 | INFO | Train Epoch: 2 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.95136 (0.92912) Boundary_loss: 0.013291 (0.013250) Loss: 0.96465 (0.94237) +2025-08-21,13:12:39 | INFO | Train Epoch: 2 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.98150 (0.92934) Boundary_loss: 0.013217 (0.013250) Loss: 0.99471 (0.94259) +2025-08-21,13:13:38 | INFO | Train Epoch: 2 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 0.77683 (0.92872) Boundary_loss: 0.013111 (0.013249) Loss: 0.78994 (0.94197) +2025-08-21,13:14:37 | INFO | Train Epoch: 2 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.838 Boundary Ratio: 0.101 Contrastive_loss: 0.94961 (0.92880) Boundary_loss: 0.013248 (0.013249) Loss: 0.96286 (0.94205) +2025-08-21,13:15:36 | INFO | Train Epoch: 2 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.76111 (0.92812) Boundary_loss: 0.013314 (0.013250) Loss: 0.77442 (0.94137) +2025-08-21,13:16:35 | INFO | Train Epoch: 2 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.76126 (0.92745) Boundary_loss: 0.013509 (0.013251) Loss: 0.77477 (0.94071) +2025-08-21,13:17:34 | INFO | Train Epoch: 2 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.92841 (0.92746) Boundary_loss: 0.013334 (0.013251) Loss: 0.94175 (0.94071) +2025-08-21,13:18:33 | INFO | Train Epoch: 2 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 0.77590 (0.92685) Boundary_loss: 0.013385 (0.013251) Loss: 0.78929 (0.94011) +2025-08-21,13:19:32 | INFO | Train Epoch: 2 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.87752 (0.92666) Boundary_loss: 0.013220 (0.013251) Loss: 0.89074 (0.93991) +2025-08-21,13:20:31 | INFO | Train Epoch: 2 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.93262 (0.92668) Boundary_loss: 0.013187 (0.013251) Loss: 0.94581 (0.93993) +2025-08-21,13:21:30 | INFO | Train Epoch: 2 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.90648 (0.92660) Boundary_loss: 0.013315 (0.013251) Loss: 0.91979 (0.93985) +2025-08-21,13:22:29 | INFO | Train Epoch: 2 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.82342 (0.92620) Boundary_loss: 0.013168 (0.013251) Loss: 0.83659 (0.93945) +2025-08-21,13:23:28 | INFO | Train Epoch: 2 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.82916 (0.92582) Boundary_loss: 0.013188 (0.013251) Loss: 0.84235 (0.93907) +2025-08-21,13:24:27 | INFO | Train Epoch: 2 [13107712/26365952 (50%)] Avg Boundaries (per batch): 18.938 Boundary Ratio: 0.097 Contrastive_loss: 0.80582 (0.92535) Boundary_loss: 0.013261 (0.013251) Loss: 0.81908 (0.93860) +2025-08-21,13:25:26 | INFO | Train Epoch: 2 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.80993 (0.92490) Boundary_loss: 0.013116 (0.013250) Loss: 0.82304 (0.93816) +2025-08-21,13:26:25 | INFO | Train Epoch: 2 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.89223 (0.92478) Boundary_loss: 0.013282 (0.013250) Loss: 0.90551 (0.93803) +2025-08-21,13:27:24 | INFO | Train Epoch: 2 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 1.0512 (0.92526) Boundary_loss: 0.013169 (0.013250) Loss: 1.0644 (0.93851) +2025-08-21,13:28:22 | INFO | Train Epoch: 2 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.80505 (0.92480) Boundary_loss: 0.013259 (0.013250) Loss: 0.81830 (0.93805) +2025-08-21,13:29:21 | INFO | Train Epoch: 2 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.89731 (0.92470) Boundary_loss: 0.013289 (0.013250) Loss: 0.91060 (0.93795) +2025-08-21,13:30:20 | INFO | Train Epoch: 2 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.85539 (0.92444) Boundary_loss: 0.013363 (0.013251) Loss: 0.86876 (0.93769) +2025-08-21,13:31:19 | INFO | Train Epoch: 2 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.721 Boundary Ratio: 0.101 Contrastive_loss: 0.87489 (0.92425) Boundary_loss: 0.013417 (0.013251) Loss: 0.88831 (0.93750) +2025-08-21,13:32:18 | INFO | Train Epoch: 2 [13517312/26365952 (51%)] Avg Boundaries (per batch): 18.980 Boundary Ratio: 0.097 Contrastive_loss: 0.96127 (0.92439) Boundary_loss: 0.013157 (0.013251) Loss: 0.97443 (0.93764) +2025-08-21,13:33:17 | INFO | Train Epoch: 2 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.88876 (0.92425) Boundary_loss: 0.013129 (0.013250) Loss: 0.90189 (0.93750) +2025-08-21,13:34:16 | INFO | Train Epoch: 2 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.650 Boundary Ratio: 0.100 Contrastive_loss: 0.83742 (0.92393) Boundary_loss: 0.013285 (0.013251) Loss: 0.85071 (0.93718) +2025-08-21,13:35:15 | INFO | Train Epoch: 2 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.81211 (0.92351) Boundary_loss: 0.013308 (0.013251) Loss: 0.82542 (0.93676) +2025-08-21,13:36:14 | INFO | Train Epoch: 2 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 1.0204 (0.92387) Boundary_loss: 0.013258 (0.013251) Loss: 1.0337 (0.93712) +2025-08-21,13:37:13 | INFO | Train Epoch: 2 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.67092 (0.92293) Boundary_loss: 0.013170 (0.013251) Loss: 0.68409 (0.93619) +2025-08-21,13:38:12 | INFO | Train Epoch: 2 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.84682 (0.92265) Boundary_loss: 0.013025 (0.013250) Loss: 0.85984 (0.93590) +2025-08-21,13:39:11 | INFO | Train Epoch: 2 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.752 Boundary Ratio: 0.101 Contrastive_loss: 0.87624 (0.92248) Boundary_loss: 0.013226 (0.013250) Loss: 0.88946 (0.93573) +2025-08-21,13:40:10 | INFO | Train Epoch: 2 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.87072 (0.92229) Boundary_loss: 0.013217 (0.013250) Loss: 0.88394 (0.93554) +2025-08-21,13:41:09 | INFO | Train Epoch: 2 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.80999 (0.92188) Boundary_loss: 0.013171 (0.013249) Loss: 0.82316 (0.93513) +2025-08-21,13:42:08 | INFO | Train Epoch: 2 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.88634 (0.92175) Boundary_loss: 0.013269 (0.013249) Loss: 0.89961 (0.93500) +2025-08-21,13:43:07 | INFO | Train Epoch: 2 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.88679 (0.92163) Boundary_loss: 0.013067 (0.013249) Loss: 0.89986 (0.93488) +2025-08-21,13:44:06 | INFO | Train Epoch: 2 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.99436 (0.92189) Boundary_loss: 0.013279 (0.013249) Loss: 1.0076 (0.93514) +2025-08-21,13:45:05 | INFO | Train Epoch: 2 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.91461 (0.92186) Boundary_loss: 0.013223 (0.013249) Loss: 0.92783 (0.93511) +2025-08-21,13:46:04 | INFO | Train Epoch: 2 [14234112/26365952 (54%)] Avg Boundaries (per batch): 18.982 Boundary Ratio: 0.097 Contrastive_loss: 0.95922 (0.92200) Boundary_loss: 0.013212 (0.013249) Loss: 0.97243 (0.93525) +2025-08-21,13:47:03 | INFO | Train Epoch: 2 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.95513 (0.92212) Boundary_loss: 0.013174 (0.013248) Loss: 0.96831 (0.93536) +2025-08-21,13:48:02 | INFO | Train Epoch: 2 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.752 Boundary Ratio: 0.101 Contrastive_loss: 1.0121 (0.92244) Boundary_loss: 0.013338 (0.013249) Loss: 1.0255 (0.93569) +2025-08-21,13:49:01 | INFO | Train Epoch: 2 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.93026 (0.92246) Boundary_loss: 0.013350 (0.013249) Loss: 0.94361 (0.93571) +2025-08-21,13:50:00 | INFO | Train Epoch: 2 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.85084 (0.92221) Boundary_loss: 0.013337 (0.013249) Loss: 0.86418 (0.93546) +2025-08-21,13:50:59 | INFO | Train Epoch: 2 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 0.77253 (0.92168) Boundary_loss: 0.013165 (0.013249) Loss: 0.78570 (0.93493) +2025-08-21,13:51:58 | INFO | Train Epoch: 2 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.77400 (0.92117) Boundary_loss: 0.013286 (0.013249) Loss: 0.78729 (0.93442) +2025-08-21,13:52:57 | INFO | Train Epoch: 2 [14592512/26365952 (55%)] Avg Boundaries (per batch): 18.895 Boundary Ratio: 0.096 Contrastive_loss: 0.85515 (0.92094) Boundary_loss: 0.013139 (0.013249) Loss: 0.86829 (0.93418) +2025-08-21,13:53:56 | INFO | Train Epoch: 2 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 0.78870 (0.92047) Boundary_loss: 0.013186 (0.013248) Loss: 0.80189 (0.93372) +2025-08-21,13:54:55 | INFO | Train Epoch: 2 [14694912/26365952 (56%)] Avg Boundaries (per batch): 18.938 Boundary Ratio: 0.097 Contrastive_loss: 0.93560 (0.92053) Boundary_loss: 0.013241 (0.013248) Loss: 0.94884 (0.93378) +2025-08-21,13:55:54 | INFO | Train Epoch: 2 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.92506 (0.92054) Boundary_loss: 0.013299 (0.013249) Loss: 0.93836 (0.93379) +2025-08-21,13:56:53 | INFO | Train Epoch: 2 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.83852 (0.92026) Boundary_loss: 0.013371 (0.013249) Loss: 0.85189 (0.93351) +2025-08-21,13:57:52 | INFO | Train Epoch: 2 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.90356 (0.92020) Boundary_loss: 0.013270 (0.013249) Loss: 0.91683 (0.93345) +2025-08-21,13:58:51 | INFO | Train Epoch: 2 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.94774 (0.92030) Boundary_loss: 0.013273 (0.013249) Loss: 0.96101 (0.93355) +2025-08-21,13:59:50 | INFO | Train Epoch: 2 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.86254 (0.92010) Boundary_loss: 0.013096 (0.013249) Loss: 0.87563 (0.93335) +2025-08-21,14:00:49 | INFO | Train Epoch: 2 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.82901 (0.91979) Boundary_loss: 0.013282 (0.013249) Loss: 0.84229 (0.93304) +2025-08-21,14:01:48 | INFO | Train Epoch: 2 [15053312/26365952 (57%)] Avg Boundaries (per batch): 18.848 Boundary Ratio: 0.096 Contrastive_loss: 0.91870 (0.91979) Boundary_loss: 0.013175 (0.013249) Loss: 0.93188 (0.93303) +2025-08-21,14:02:47 | INFO | Train Epoch: 2 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.92050 (0.91979) Boundary_loss: 0.013269 (0.013249) Loss: 0.93377 (0.93304) +2025-08-21,14:03:46 | INFO | Train Epoch: 2 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.74051 (0.91919) Boundary_loss: 0.013107 (0.013248) Loss: 0.75362 (0.93243) +2025-08-21,14:04:45 | INFO | Train Epoch: 2 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.92747 (0.91921) Boundary_loss: 0.013211 (0.013248) Loss: 0.94069 (0.93246) +2025-08-21,14:05:44 | INFO | Train Epoch: 2 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.89348 (0.91913) Boundary_loss: 0.013349 (0.013248) Loss: 0.90683 (0.93238) +2025-08-21,14:06:43 | INFO | Train Epoch: 2 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.92539 (0.91915) Boundary_loss: 0.013301 (0.013249) Loss: 0.93869 (0.93240) +2025-08-21,14:07:41 | INFO | Train Epoch: 2 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.82130 (0.91882) Boundary_loss: 0.013210 (0.013248) Loss: 0.83451 (0.93207) +2025-08-21,14:08:40 | INFO | Train Epoch: 2 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.75915 (0.91829) Boundary_loss: 0.013175 (0.013248) Loss: 0.77232 (0.93154) +2025-08-21,14:09:39 | INFO | Train Epoch: 2 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.86993 (0.91813) Boundary_loss: 0.013309 (0.013248) Loss: 0.88323 (0.93138) +2025-08-21,14:10:38 | INFO | Train Epoch: 2 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.85288 (0.91792) Boundary_loss: 0.013190 (0.013248) Loss: 0.86607 (0.93117) +2025-08-21,14:11:37 | INFO | Train Epoch: 2 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.80936 (0.91756) Boundary_loss: 0.013137 (0.013248) Loss: 0.82250 (0.93081) +2025-08-21,14:12:37 | INFO | Train Epoch: 2 [15616512/26365952 (59%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 0.79853 (0.91717) Boundary_loss: 0.013229 (0.013248) Loss: 0.81176 (0.93042) +2025-08-21,14:13:36 | INFO | Train Epoch: 2 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.91354 (0.91716) Boundary_loss: 0.013174 (0.013247) Loss: 0.92671 (0.93041) +2025-08-21,14:14:35 | INFO | Train Epoch: 2 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.94745 (0.91726) Boundary_loss: 0.013112 (0.013247) Loss: 0.96056 (0.93051) +2025-08-21,14:15:33 | INFO | Train Epoch: 2 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.92951 (0.91730) Boundary_loss: 0.013032 (0.013246) Loss: 0.94254 (0.93055) +2025-08-21,14:16:32 | INFO | Train Epoch: 2 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.689 Boundary Ratio: 0.100 Contrastive_loss: 0.83160 (0.91702) Boundary_loss: 0.013241 (0.013246) Loss: 0.84484 (0.93027) +2025-08-21,14:17:31 | INFO | Train Epoch: 2 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.79878 (0.91664) Boundary_loss: 0.013216 (0.013246) Loss: 0.81199 (0.92989) +2025-08-21,14:18:30 | INFO | Train Epoch: 2 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.92615 (0.91667) Boundary_loss: 0.013259 (0.013246) Loss: 0.93941 (0.92992) +2025-08-21,14:19:29 | INFO | Train Epoch: 2 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.85667 (0.91648) Boundary_loss: 0.013153 (0.013246) Loss: 0.86982 (0.92973) +2025-08-21,14:20:28 | INFO | Train Epoch: 2 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.85790 (0.91630) Boundary_loss: 0.013190 (0.013246) Loss: 0.87109 (0.92954) +2025-08-21,14:21:27 | INFO | Train Epoch: 2 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.77974 (0.91586) Boundary_loss: 0.013303 (0.013246) Loss: 0.79304 (0.92911) +2025-08-21,14:22:26 | INFO | Train Epoch: 2 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.94473 (0.91595) Boundary_loss: 0.013188 (0.013246) Loss: 0.95791 (0.92920) +2025-08-21,14:23:25 | INFO | Train Epoch: 2 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.74308 (0.91541) Boundary_loss: 0.013202 (0.013246) Loss: 0.75628 (0.92865) +2025-08-21,14:24:24 | INFO | Train Epoch: 2 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.621 Boundary Ratio: 0.100 Contrastive_loss: 0.82099 (0.91511) Boundary_loss: 0.013188 (0.013245) Loss: 0.83417 (0.92836) +2025-08-21,14:25:23 | INFO | Train Epoch: 2 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.88741 (0.91503) Boundary_loss: 0.013176 (0.013245) Loss: 0.90059 (0.92827) +2025-08-21,14:26:22 | INFO | Train Epoch: 2 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.76278 (0.91455) Boundary_loss: 0.013127 (0.013245) Loss: 0.77590 (0.92779) +2025-08-21,14:27:21 | INFO | Train Epoch: 2 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.820 Boundary Ratio: 0.101 Contrastive_loss: 0.91163 (0.91454) Boundary_loss: 0.013289 (0.013245) Loss: 0.92491 (0.92779) +2025-08-21,14:28:20 | INFO | Train Epoch: 2 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.89189 (0.91447) Boundary_loss: 0.013193 (0.013245) Loss: 0.90508 (0.92771) +2025-08-21,14:29:19 | INFO | Train Epoch: 2 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 1.0114 (0.91477) Boundary_loss: 0.013187 (0.013245) Loss: 1.0246 (0.92801) +2025-08-21,14:30:18 | INFO | Train Epoch: 2 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 0.85778 (0.91459) Boundary_loss: 0.013173 (0.013244) Loss: 0.87095 (0.92784) +2025-08-21,14:31:17 | INFO | Train Epoch: 2 [16589312/26365952 (63%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.80340 (0.91425) Boundary_loss: 0.013192 (0.013244) Loss: 0.81659 (0.92750) +2025-08-21,14:32:16 | INFO | Train Epoch: 2 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.83105 (0.91400) Boundary_loss: 0.013184 (0.013244) Loss: 0.84424 (0.92724) +2025-08-21,14:33:15 | INFO | Train Epoch: 2 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.72463 (0.91342) Boundary_loss: 0.013208 (0.013244) Loss: 0.73784 (0.92666) +2025-08-21,14:34:14 | INFO | Train Epoch: 2 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.88759 (0.91334) Boundary_loss: 0.013212 (0.013244) Loss: 0.90080 (0.92658) +2025-08-21,14:35:13 | INFO | Train Epoch: 2 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.637 Boundary Ratio: 0.100 Contrastive_loss: 0.85436 (0.91316) Boundary_loss: 0.013322 (0.013244) Loss: 0.86768 (0.92640) +2025-08-21,14:36:12 | INFO | Train Epoch: 2 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.73550 (0.91262) Boundary_loss: 0.013307 (0.013244) Loss: 0.74881 (0.92587) +2025-08-21,14:37:11 | INFO | Train Epoch: 2 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.82979 (0.91237) Boundary_loss: 0.013174 (0.013244) Loss: 0.84296 (0.92562) +2025-08-21,14:38:10 | INFO | Train Epoch: 2 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.78854 (0.91200) Boundary_loss: 0.013255 (0.013244) Loss: 0.80179 (0.92524) +2025-08-21,14:39:09 | INFO | Train Epoch: 2 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.85527 (0.91183) Boundary_loss: 0.013257 (0.013244) Loss: 0.86852 (0.92507) +2025-08-21,14:40:08 | INFO | Train Epoch: 2 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.99038 (0.91206) Boundary_loss: 0.013029 (0.013244) Loss: 1.0034 (0.92531) +2025-08-21,14:41:07 | INFO | Train Epoch: 2 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.88497 (0.91198) Boundary_loss: 0.013238 (0.013244) Loss: 0.89821 (0.92523) +2025-08-21,14:42:06 | INFO | Train Epoch: 2 [17152512/26365952 (65%)] Avg Boundaries (per batch): 18.979 Boundary Ratio: 0.097 Contrastive_loss: 0.76322 (0.91154) Boundary_loss: 0.013238 (0.013244) Loss: 0.77646 (0.92478) +2025-08-21,14:43:05 | INFO | Train Epoch: 2 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.93237 (0.91160) Boundary_loss: 0.013188 (0.013243) Loss: 0.94556 (0.92484) +2025-08-21,14:44:04 | INFO | Train Epoch: 2 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.77775 (0.91121) Boundary_loss: 0.013192 (0.013243) Loss: 0.79095 (0.92445) +2025-08-21,14:45:03 | INFO | Train Epoch: 2 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.79493 (0.91086) Boundary_loss: 0.013143 (0.013243) Loss: 0.80808 (0.92411) +2025-08-21,14:46:02 | INFO | Train Epoch: 2 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.89400 (0.91081) Boundary_loss: 0.013230 (0.013243) Loss: 0.90723 (0.92406) +2025-08-21,14:47:01 | INFO | Train Epoch: 2 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.670 Boundary Ratio: 0.100 Contrastive_loss: 0.89173 (0.91076) Boundary_loss: 0.013167 (0.013243) Loss: 0.90490 (0.92400) +2025-08-21,14:47:59 | INFO | Train Epoch: 2 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.674 Boundary Ratio: 0.100 Contrastive_loss: 0.98618 (0.91098) Boundary_loss: 0.013068 (0.013242) Loss: 0.99924 (0.92422) +2025-08-21,14:48:59 | INFO | Train Epoch: 2 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.93207 (0.91104) Boundary_loss: 0.013317 (0.013242) Loss: 0.94538 (0.92428) +2025-08-21,14:49:58 | INFO | Train Epoch: 2 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.69444 (0.91041) Boundary_loss: 0.013043 (0.013242) Loss: 0.70748 (0.92365) +2025-08-21,14:50:56 | INFO | Train Epoch: 2 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.83889 (0.91020) Boundary_loss: 0.013175 (0.013242) Loss: 0.85207 (0.92344) +2025-08-21,14:51:55 | INFO | Train Epoch: 2 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.81101 (0.90991) Boundary_loss: 0.013166 (0.013241) Loss: 0.82417 (0.92316) +2025-08-21,14:52:54 | INFO | Train Epoch: 2 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.77420 (0.90952) Boundary_loss: 0.013307 (0.013242) Loss: 0.78750 (0.92277) +2025-08-21,14:53:53 | INFO | Train Epoch: 2 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.84769 (0.90935) Boundary_loss: 0.013077 (0.013241) Loss: 0.86077 (0.92259) +2025-08-21,14:54:52 | INFO | Train Epoch: 2 [17818112/26365952 (68%)] Avg Boundaries (per batch): 18.984 Boundary Ratio: 0.097 Contrastive_loss: 0.79529 (0.90902) Boundary_loss: 0.013360 (0.013241) Loss: 0.80865 (0.92226) +2025-08-21,14:55:52 | INFO | Train Epoch: 2 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.662 Boundary Ratio: 0.100 Contrastive_loss: 0.71648 (0.90847) Boundary_loss: 0.013265 (0.013241) Loss: 0.72975 (0.92171) +2025-08-21,14:56:51 | INFO | Train Epoch: 2 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.78946 (0.90813) Boundary_loss: 0.013168 (0.013241) Loss: 0.80262 (0.92137) +2025-08-21,14:57:50 | INFO | Train Epoch: 2 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.93983 (0.90822) Boundary_loss: 0.013216 (0.013241) Loss: 0.95305 (0.92146) +2025-08-21,14:58:49 | INFO | Train Epoch: 2 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.82515 (0.90798) Boundary_loss: 0.013255 (0.013241) Loss: 0.83841 (0.92123) +2025-08-21,14:59:48 | INFO | Train Epoch: 2 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.81087 (0.90771) Boundary_loss: 0.013147 (0.013241) Loss: 0.82402 (0.92095) +2025-08-21,15:00:47 | INFO | Train Epoch: 2 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.76307 (0.90730) Boundary_loss: 0.013152 (0.013241) Loss: 0.77623 (0.92054) +2025-08-21,15:01:46 | INFO | Train Epoch: 2 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.68789 (0.90669) Boundary_loss: 0.013225 (0.013241) Loss: 0.70111 (0.91993) +2025-08-21,15:02:45 | INFO | Train Epoch: 2 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.72366 (0.90617) Boundary_loss: 0.013220 (0.013241) Loss: 0.73688 (0.91941) +2025-08-21,15:03:44 | INFO | Train Epoch: 2 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.77356 (0.90580) Boundary_loss: 0.013122 (0.013240) Loss: 0.78669 (0.91904) +2025-08-21,15:04:42 | INFO | Train Epoch: 2 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.89803 (0.90578) Boundary_loss: 0.013097 (0.013240) Loss: 0.91113 (0.91902) +2025-08-21,15:05:41 | INFO | Train Epoch: 2 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.84537 (0.90561) Boundary_loss: 0.013170 (0.013240) Loss: 0.85854 (0.91885) +2025-08-21,15:06:40 | INFO | Train Epoch: 2 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.75921 (0.90521) Boundary_loss: 0.013323 (0.013240) Loss: 0.77253 (0.91845) +2025-08-21,15:07:39 | INFO | Train Epoch: 2 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.85960 (0.90508) Boundary_loss: 0.013216 (0.013240) Loss: 0.87281 (0.91832) +2025-08-21,15:08:38 | INFO | Train Epoch: 2 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.81455 (0.90483) Boundary_loss: 0.013359 (0.013240) Loss: 0.82791 (0.91807) +2025-08-21,15:09:37 | INFO | Train Epoch: 2 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.78864 (0.90451) Boundary_loss: 0.013148 (0.013240) Loss: 0.80178 (0.91775) +2025-08-21,15:10:36 | INFO | Train Epoch: 2 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.83659 (0.90433) Boundary_loss: 0.013388 (0.013240) Loss: 0.84998 (0.91757) +2025-08-21,15:11:35 | INFO | Train Epoch: 2 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.69356 (0.90375) Boundary_loss: 0.013024 (0.013240) Loss: 0.70658 (0.91699) +2025-08-21,15:12:34 | INFO | Train Epoch: 2 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.75686 (0.90335) Boundary_loss: 0.013216 (0.013240) Loss: 0.77007 (0.91659) +2025-08-21,15:13:33 | INFO | Train Epoch: 2 [18790912/26365952 (71%)] Avg Boundaries (per batch): 18.947 Boundary Ratio: 0.097 Contrastive_loss: 0.84327 (0.90319) Boundary_loss: 0.013254 (0.013240) Loss: 0.85653 (0.91643) +2025-08-21,15:14:32 | INFO | Train Epoch: 2 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.633 Boundary Ratio: 0.100 Contrastive_loss: 0.84884 (0.90304) Boundary_loss: 0.013308 (0.013240) Loss: 0.86214 (0.91628) +2025-08-21,15:15:31 | INFO | Train Epoch: 2 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.77815 (0.90270) Boundary_loss: 0.013174 (0.013240) Loss: 0.79132 (0.91594) +2025-08-21,15:16:30 | INFO | Train Epoch: 2 [18944512/26365952 (72%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.93424 (0.90279) Boundary_loss: 0.013193 (0.013240) Loss: 0.94744 (0.91603) +2025-08-21,15:17:29 | INFO | Train Epoch: 2 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 0.84994 (0.90265) Boundary_loss: 0.013369 (0.013240) Loss: 0.86331 (0.91589) +2025-08-21,15:18:28 | INFO | Train Epoch: 2 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.637 Boundary Ratio: 0.100 Contrastive_loss: 0.84076 (0.90248) Boundary_loss: 0.013258 (0.013240) Loss: 0.85401 (0.91572) +2025-08-21,15:19:27 | INFO | Train Epoch: 2 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.75556 (0.90209) Boundary_loss: 0.013329 (0.013240) Loss: 0.76889 (0.91533) +2025-08-21,15:20:26 | INFO | Train Epoch: 2 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.79621 (0.90181) Boundary_loss: 0.013405 (0.013241) Loss: 0.80961 (0.91505) +2025-08-21,15:21:24 | INFO | Train Epoch: 2 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.87243 (0.90173) Boundary_loss: 0.013237 (0.013241) Loss: 0.88567 (0.91497) +2025-08-21,15:22:23 | INFO | Train Epoch: 2 [19251712/26365952 (73%)] Avg Boundaries (per batch): 18.674 Boundary Ratio: 0.095 Contrastive_loss: 0.73042 (0.90127) Boundary_loss: 0.013284 (0.013241) Loss: 0.74370 (0.91451) +2025-08-21,15:23:22 | INFO | Train Epoch: 2 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.94923 (0.90140) Boundary_loss: 0.013253 (0.013241) Loss: 0.96248 (0.91464) +2025-08-21,15:24:21 | INFO | Train Epoch: 2 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.89863 (0.90139) Boundary_loss: 0.013274 (0.013241) Loss: 0.91190 (0.91463) +2025-08-21,15:25:20 | INFO | Train Epoch: 2 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.629 Boundary Ratio: 0.100 Contrastive_loss: 0.88902 (0.90136) Boundary_loss: 0.013227 (0.013241) Loss: 0.90225 (0.91460) +2025-08-21,15:26:19 | INFO | Train Epoch: 2 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.82070 (0.90115) Boundary_loss: 0.013191 (0.013241) Loss: 0.83389 (0.91439) +2025-08-21,15:27:18 | INFO | Train Epoch: 2 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.90455 (0.90116) Boundary_loss: 0.013286 (0.013241) Loss: 0.91784 (0.91440) +2025-08-21,15:28:17 | INFO | Train Epoch: 2 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.736 Boundary Ratio: 0.101 Contrastive_loss: 0.86616 (0.90107) Boundary_loss: 0.013311 (0.013241) Loss: 0.87947 (0.91431) +2025-08-21,15:29:16 | INFO | Train Epoch: 2 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.90212 (0.90107) Boundary_loss: 0.013258 (0.013241) Loss: 0.91537 (0.91431) +2025-08-21,15:30:14 | INFO | Train Epoch: 2 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.86491 (0.90097) Boundary_loss: 0.013289 (0.013241) Loss: 0.87820 (0.91422) +2025-08-21,15:31:13 | INFO | Train Epoch: 2 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.93376 (0.90106) Boundary_loss: 0.013145 (0.013241) Loss: 0.94691 (0.91430) +2025-08-21,15:32:12 | INFO | Train Epoch: 2 [19763712/26365952 (75%)] Avg Boundaries (per batch): 18.932 Boundary Ratio: 0.097 Contrastive_loss: 0.81731 (0.90084) Boundary_loss: 0.013230 (0.013241) Loss: 0.83054 (0.91408) +2025-08-21,15:33:11 | INFO | Train Epoch: 2 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.82470 (0.90065) Boundary_loss: 0.013200 (0.013241) Loss: 0.83790 (0.91389) +2025-08-21,15:34:10 | INFO | Train Epoch: 2 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.74964 (0.90026) Boundary_loss: 0.013290 (0.013241) Loss: 0.76293 (0.91350) +2025-08-21,15:35:09 | INFO | Train Epoch: 2 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.84896 (0.90013) Boundary_loss: 0.013182 (0.013241) Loss: 0.86214 (0.91337) +2025-08-21,15:36:08 | INFO | Train Epoch: 2 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.88660 (0.90009) Boundary_loss: 0.013114 (0.013240) Loss: 0.89971 (0.91333) +2025-08-21,15:37:07 | INFO | Train Epoch: 2 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.82605 (0.89990) Boundary_loss: 0.013145 (0.013240) Loss: 0.83920 (0.91314) +2025-08-21,15:38:06 | INFO | Train Epoch: 2 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.92865 (0.89998) Boundary_loss: 0.013288 (0.013240) Loss: 0.94194 (0.91322) +2025-08-21,15:39:04 | INFO | Train Epoch: 2 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.86585 (0.89989) Boundary_loss: 0.013141 (0.013240) Loss: 0.87899 (0.91313) +2025-08-21,15:40:03 | INFO | Train Epoch: 2 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.76997 (0.89956) Boundary_loss: 0.013413 (0.013241) Loss: 0.78338 (0.91280) +2025-08-21,15:41:02 | INFO | Train Epoch: 2 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.93278 (0.89965) Boundary_loss: 0.013178 (0.013240) Loss: 0.94596 (0.91289) +2025-08-21,15:42:01 | INFO | Train Epoch: 2 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.78328 (0.89935) Boundary_loss: 0.013153 (0.013240) Loss: 0.79643 (0.91259) +2025-08-21,15:43:00 | INFO | Train Epoch: 2 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.564 Boundary Ratio: 0.100 Contrastive_loss: 0.90381 (0.89936) Boundary_loss: 0.013244 (0.013240) Loss: 0.91705 (0.91260) +2025-08-21,15:43:59 | INFO | Train Epoch: 2 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.86496 (0.89928) Boundary_loss: 0.013323 (0.013240) Loss: 0.87828 (0.91252) +2025-08-21,15:44:58 | INFO | Train Epoch: 2 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.79360 (0.89901) Boundary_loss: 0.013278 (0.013240) Loss: 0.80688 (0.91225) +2025-08-21,15:45:57 | INFO | Train Epoch: 2 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.613 Boundary Ratio: 0.100 Contrastive_loss: 0.75977 (0.89867) Boundary_loss: 0.013319 (0.013241) Loss: 0.77309 (0.91191) +2025-08-21,15:46:56 | INFO | Train Epoch: 2 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.78375 (0.89838) Boundary_loss: 0.013059 (0.013240) Loss: 0.79681 (0.91162) +2025-08-21,15:47:54 | INFO | Train Epoch: 2 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.74487 (0.89800) Boundary_loss: 0.013214 (0.013240) Loss: 0.75809 (0.91124) +2025-08-21,15:48:53 | INFO | Train Epoch: 2 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.80588 (0.89777) Boundary_loss: 0.013264 (0.013240) Loss: 0.81914 (0.91101) +2025-08-21,15:49:52 | INFO | Train Epoch: 2 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.90124 (0.89778) Boundary_loss: 0.013151 (0.013240) Loss: 0.91439 (0.91102) +2025-08-21,15:50:51 | INFO | Train Epoch: 2 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.76370 (0.89745) Boundary_loss: 0.013304 (0.013240) Loss: 0.77700 (0.91069) +2025-08-21,15:51:50 | INFO | Train Epoch: 2 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.81460 (0.89725) Boundary_loss: 0.013183 (0.013240) Loss: 0.82778 (0.91049) +2025-08-21,15:52:49 | INFO | Train Epoch: 2 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 0.70445 (0.89677) Boundary_loss: 0.013173 (0.013240) Loss: 0.71762 (0.91001) +2025-08-21,15:53:48 | INFO | Train Epoch: 2 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.80290 (0.89654) Boundary_loss: 0.013265 (0.013240) Loss: 0.81616 (0.90978) +2025-08-21,15:54:47 | INFO | Train Epoch: 2 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.90875 (0.89657) Boundary_loss: 0.013103 (0.013240) Loss: 0.92185 (0.90981) +2025-08-21,15:55:45 | INFO | Train Epoch: 2 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.74695 (0.89621) Boundary_loss: 0.013114 (0.013239) Loss: 0.76007 (0.90945) +2025-08-21,15:56:44 | INFO | Train Epoch: 2 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 0.86657 (0.89614) Boundary_loss: 0.013137 (0.013239) Loss: 0.87971 (0.90938) +2025-08-21,15:57:43 | INFO | Train Epoch: 2 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.79271 (0.89589) Boundary_loss: 0.013144 (0.013239) Loss: 0.80585 (0.90913) +2025-08-21,15:58:42 | INFO | Train Epoch: 2 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.89545 (0.89589) Boundary_loss: 0.013075 (0.013238) Loss: 0.90852 (0.90912) +2025-08-21,15:59:41 | INFO | Train Epoch: 2 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.83693 (0.89574) Boundary_loss: 0.013147 (0.013238) Loss: 0.85007 (0.90898) +2025-08-21,16:00:40 | INFO | Train Epoch: 2 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.71281 (0.89530) Boundary_loss: 0.013217 (0.013238) Loss: 0.72602 (0.90854) +2025-08-21,16:01:39 | INFO | Train Epoch: 2 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.71929 (0.89488) Boundary_loss: 0.013127 (0.013238) Loss: 0.73242 (0.90812) +2025-08-21,16:02:38 | INFO | Train Epoch: 2 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.85078 (0.89478) Boundary_loss: 0.013260 (0.013238) Loss: 0.86404 (0.90801) +2025-08-21,16:03:36 | INFO | Train Epoch: 2 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.660 Boundary Ratio: 0.100 Contrastive_loss: 0.77459 (0.89449) Boundary_loss: 0.013175 (0.013238) Loss: 0.78777 (0.90773) +2025-08-21,16:04:35 | INFO | Train Epoch: 2 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.79392 (0.89425) Boundary_loss: 0.013171 (0.013238) Loss: 0.80710 (0.90749) +2025-08-21,16:05:34 | INFO | Train Epoch: 2 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.80772 (0.89404) Boundary_loss: 0.013131 (0.013237) Loss: 0.82085 (0.90728) +2025-08-21,16:06:33 | INFO | Train Epoch: 2 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.73696 (0.89367) Boundary_loss: 0.013171 (0.013237) Loss: 0.75013 (0.90691) +2025-08-21,16:07:32 | INFO | Train Epoch: 2 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.78513 (0.89342) Boundary_loss: 0.013099 (0.013237) Loss: 0.79822 (0.90665) +2025-08-21,16:08:31 | INFO | Train Epoch: 2 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.91572 (0.89347) Boundary_loss: 0.013198 (0.013237) Loss: 0.92892 (0.90671) +2025-08-21,16:09:30 | INFO | Train Epoch: 2 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.88529 (0.89345) Boundary_loss: 0.013151 (0.013237) Loss: 0.89844 (0.90669) +2025-08-21,16:10:28 | INFO | Train Epoch: 2 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.71538 (0.89303) Boundary_loss: 0.013304 (0.013237) Loss: 0.72868 (0.90627) +2025-08-21,16:11:27 | INFO | Train Epoch: 2 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.99076 (0.89326) Boundary_loss: 0.013251 (0.013237) Loss: 1.0040 (0.90650) +2025-08-21,16:12:26 | INFO | Train Epoch: 2 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.77919 (0.89299) Boundary_loss: 0.013249 (0.013237) Loss: 0.79244 (0.90623) +2025-08-21,16:13:25 | INFO | Train Epoch: 2 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.79303 (0.89276) Boundary_loss: 0.013203 (0.013237) Loss: 0.80623 (0.90600) +2025-08-21,16:14:24 | INFO | Train Epoch: 2 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.85396 (0.89267) Boundary_loss: 0.013193 (0.013237) Loss: 0.86716 (0.90591) +2025-08-21,16:15:23 | INFO | Train Epoch: 2 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.86419 (0.89260) Boundary_loss: 0.013176 (0.013236) Loss: 0.87737 (0.90584) +2025-08-21,16:16:22 | INFO | Train Epoch: 2 [22067712/26365952 (84%)] Avg Boundaries (per batch): 18.922 Boundary Ratio: 0.097 Contrastive_loss: 0.78108 (0.89235) Boundary_loss: 0.013222 (0.013236) Loss: 0.79430 (0.90558) +2025-08-21,16:17:21 | INFO | Train Epoch: 2 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.77688 (0.89208) Boundary_loss: 0.013221 (0.013236) Loss: 0.79010 (0.90532) +2025-08-21,16:18:20 | INFO | Train Epoch: 2 [22170112/26365952 (84%)] Avg Boundaries (per batch): 18.988 Boundary Ratio: 0.097 Contrastive_loss: 0.77283 (0.89180) Boundary_loss: 0.013199 (0.013236) Loss: 0.78602 (0.90504) +2025-08-21,16:19:19 | INFO | Train Epoch: 2 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.82657 (0.89165) Boundary_loss: 0.013091 (0.013236) Loss: 0.83966 (0.90489) +2025-08-21,16:20:18 | INFO | Train Epoch: 2 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.574 Boundary Ratio: 0.100 Contrastive_loss: 0.81446 (0.89148) Boundary_loss: 0.013216 (0.013236) Loss: 0.82768 (0.90471) +2025-08-21,16:21:16 | INFO | Train Epoch: 2 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.80179 (0.89127) Boundary_loss: 0.013168 (0.013236) Loss: 0.81496 (0.90451) +2025-08-21,16:22:15 | INFO | Train Epoch: 2 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.69800 (0.89083) Boundary_loss: 0.013216 (0.013236) Loss: 0.71122 (0.90407) +2025-08-21,16:23:14 | INFO | Train Epoch: 2 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.85935 (0.89076) Boundary_loss: 0.013278 (0.013236) Loss: 0.87263 (0.90400) +2025-08-21,16:24:13 | INFO | Train Epoch: 2 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.96371 (0.89093) Boundary_loss: 0.013275 (0.013236) Loss: 0.97699 (0.90416) +2025-08-21,16:25:12 | INFO | Train Epoch: 2 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.90049 (0.89095) Boundary_loss: 0.013368 (0.013236) Loss: 0.91386 (0.90418) +2025-08-21,16:26:11 | INFO | Train Epoch: 2 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.92686 (0.89103) Boundary_loss: 0.013208 (0.013236) Loss: 0.94006 (0.90426) +2025-08-21,16:27:10 | INFO | Train Epoch: 2 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.85804 (0.89095) Boundary_loss: 0.013089 (0.013236) Loss: 0.87113 (0.90419) +2025-08-21,16:28:09 | INFO | Train Epoch: 2 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.79174 (0.89073) Boundary_loss: 0.013299 (0.013236) Loss: 0.80504 (0.90397) +2025-08-21,16:29:08 | INFO | Train Epoch: 2 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.631 Boundary Ratio: 0.100 Contrastive_loss: 0.79175 (0.89051) Boundary_loss: 0.013300 (0.013236) Loss: 0.80505 (0.90374) +2025-08-21,16:30:07 | INFO | Train Epoch: 2 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.646 Boundary Ratio: 0.100 Contrastive_loss: 0.81098 (0.89033) Boundary_loss: 0.013300 (0.013236) Loss: 0.82428 (0.90357) +2025-08-21,16:31:06 | INFO | Train Epoch: 2 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.79959 (0.89013) Boundary_loss: 0.013272 (0.013236) Loss: 0.81286 (0.90336) +2025-08-21,16:32:05 | INFO | Train Epoch: 2 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.76535 (0.88985) Boundary_loss: 0.013241 (0.013236) Loss: 0.77860 (0.90308) +2025-08-21,16:33:04 | INFO | Train Epoch: 2 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.789 Boundary Ratio: 0.101 Contrastive_loss: 0.86887 (0.88980) Boundary_loss: 0.013297 (0.013236) Loss: 0.88216 (0.90304) +2025-08-21,16:34:03 | INFO | Train Epoch: 2 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.69545 (0.88937) Boundary_loss: 0.013226 (0.013236) Loss: 0.70868 (0.90261) +2025-08-21,16:35:02 | INFO | Train Epoch: 2 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.74066 (0.88904) Boundary_loss: 0.013207 (0.013236) Loss: 0.75387 (0.90228) +2025-08-21,16:36:01 | INFO | Train Epoch: 2 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.77932 (0.88880) Boundary_loss: 0.013227 (0.013236) Loss: 0.79255 (0.90203) +2025-08-21,16:37:00 | INFO | Train Epoch: 2 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.81869 (0.88864) Boundary_loss: 0.013186 (0.013236) Loss: 0.83188 (0.90188) +2025-08-21,16:37:59 | INFO | Train Epoch: 2 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.80341 (0.88845) Boundary_loss: 0.013118 (0.013236) Loss: 0.81653 (0.90169) +2025-08-21,16:38:58 | INFO | Train Epoch: 2 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.78793 (0.88823) Boundary_loss: 0.013129 (0.013236) Loss: 0.80106 (0.90147) +2025-08-21,16:39:57 | INFO | Train Epoch: 2 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 0.86018 (0.88817) Boundary_loss: 0.013253 (0.013236) Loss: 0.87343 (0.90141) +2025-08-21,16:40:56 | INFO | Train Epoch: 2 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.90341 (0.88821) Boundary_loss: 0.013125 (0.013236) Loss: 0.91653 (0.90144) +2025-08-21,16:41:55 | INFO | Train Epoch: 2 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.88406 (0.88820) Boundary_loss: 0.013165 (0.013235) Loss: 0.89723 (0.90143) +2025-08-21,16:42:54 | INFO | Train Epoch: 2 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.83738 (0.88809) Boundary_loss: 0.013113 (0.013235) Loss: 0.85050 (0.90132) +2025-08-21,16:43:53 | INFO | Train Epoch: 2 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.93728 (0.88819) Boundary_loss: 0.013151 (0.013235) Loss: 0.95044 (0.90143) +2025-08-21,16:44:52 | INFO | Train Epoch: 2 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.623 Boundary Ratio: 0.100 Contrastive_loss: 0.74283 (0.88788) Boundary_loss: 0.013133 (0.013235) Loss: 0.75597 (0.90111) +2025-08-21,16:45:51 | INFO | Train Epoch: 2 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 0.84288 (0.88778) Boundary_loss: 0.013146 (0.013235) Loss: 0.85602 (0.90101) +2025-08-21,16:46:50 | INFO | Train Epoch: 2 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.77932 (0.88755) Boundary_loss: 0.013181 (0.013234) Loss: 0.79250 (0.90078) +2025-08-21,16:47:49 | INFO | Train Epoch: 2 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.85341 (0.88747) Boundary_loss: 0.013344 (0.013235) Loss: 0.86675 (0.90071) +2025-08-21,16:48:48 | INFO | Train Epoch: 2 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.80828 (0.88730) Boundary_loss: 0.013156 (0.013234) Loss: 0.82143 (0.90054) +2025-08-21,16:49:47 | INFO | Train Epoch: 2 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.77242 (0.88706) Boundary_loss: 0.013092 (0.013234) Loss: 0.78551 (0.90029) +2025-08-21,16:50:46 | INFO | Train Epoch: 2 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.84131 (0.88696) Boundary_loss: 0.013362 (0.013234) Loss: 0.85467 (0.90019) +2025-08-21,16:51:45 | INFO | Train Epoch: 2 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.78384 (0.88674) Boundary_loss: 0.013044 (0.013234) Loss: 0.79688 (0.89997) +2025-08-21,16:52:44 | INFO | Train Epoch: 2 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.83825 (0.88663) Boundary_loss: 0.013251 (0.013234) Loss: 0.85150 (0.89987) +2025-08-21,16:53:43 | INFO | Train Epoch: 2 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 0.85001 (0.88656) Boundary_loss: 0.013125 (0.013234) Loss: 0.86313 (0.89979) +2025-08-21,16:54:42 | INFO | Train Epoch: 2 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.86749 (0.88651) Boundary_loss: 0.013228 (0.013234) Loss: 0.88072 (0.89975) +2025-08-21,16:55:41 | INFO | Train Epoch: 2 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.85461 (0.88645) Boundary_loss: 0.013346 (0.013234) Loss: 0.86796 (0.89968) +2025-08-21,16:56:40 | INFO | Train Epoch: 2 [24166912/26365952 (92%)] Avg Boundaries (per batch): 18.918 Boundary Ratio: 0.097 Contrastive_loss: 0.84973 (0.88637) Boundary_loss: 0.013211 (0.013234) Loss: 0.86294 (0.89960) +2025-08-21,16:57:39 | INFO | Train Epoch: 2 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.80879 (0.88621) Boundary_loss: 0.013192 (0.013234) Loss: 0.82198 (0.89944) +2025-08-21,16:58:38 | INFO | Train Epoch: 2 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.67659 (0.88576) Boundary_loss: 0.013063 (0.013234) Loss: 0.68966 (0.89900) +2025-08-21,16:59:37 | INFO | Train Epoch: 2 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.70366 (0.88538) Boundary_loss: 0.013232 (0.013234) Loss: 0.71689 (0.89862) +2025-08-21,17:00:36 | INFO | Train Epoch: 2 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.80087 (0.88521) Boundary_loss: 0.013263 (0.013234) Loss: 0.81413 (0.89844) +2025-08-21,17:01:35 | INFO | Train Epoch: 2 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.70139 (0.88482) Boundary_loss: 0.013259 (0.013234) Loss: 0.71465 (0.89805) +2025-08-21,17:02:34 | INFO | Train Epoch: 2 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.83019 (0.88471) Boundary_loss: 0.013192 (0.013234) Loss: 0.84338 (0.89794) +2025-08-21,17:03:33 | INFO | Train Epoch: 2 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.87406 (0.88468) Boundary_loss: 0.013204 (0.013234) Loss: 0.88726 (0.89792) +2025-08-21,17:04:32 | INFO | Train Epoch: 2 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.84720 (0.88461) Boundary_loss: 0.013261 (0.013234) Loss: 0.86046 (0.89784) +2025-08-21,17:05:31 | INFO | Train Epoch: 2 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.81037 (0.88445) Boundary_loss: 0.013196 (0.013234) Loss: 0.82357 (0.89769) +2025-08-21,17:06:30 | INFO | Train Epoch: 2 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.83344 (0.88435) Boundary_loss: 0.013178 (0.013233) Loss: 0.84662 (0.89758) +2025-08-21,17:07:29 | INFO | Train Epoch: 2 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.79482 (0.88416) Boundary_loss: 0.013222 (0.013233) Loss: 0.80805 (0.89740) +2025-08-21,17:08:28 | INFO | Train Epoch: 2 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.82116 (0.88403) Boundary_loss: 0.013167 (0.013233) Loss: 0.83432 (0.89727) +2025-08-21,17:09:27 | INFO | Train Epoch: 2 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.81451 (0.88389) Boundary_loss: 0.013215 (0.013233) Loss: 0.82772 (0.89712) +2025-08-21,17:10:26 | INFO | Train Epoch: 2 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.71970 (0.88355) Boundary_loss: 0.013299 (0.013233) Loss: 0.73300 (0.89678) +2025-08-21,17:11:25 | INFO | Train Epoch: 2 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.72798 (0.88323) Boundary_loss: 0.013246 (0.013233) Loss: 0.74123 (0.89647) +2025-08-21,17:12:24 | INFO | Train Epoch: 2 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.84242 (0.88315) Boundary_loss: 0.013157 (0.013233) Loss: 0.85557 (0.89638) +2025-08-21,17:13:23 | INFO | Train Epoch: 2 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.611 Boundary Ratio: 0.100 Contrastive_loss: 0.66079 (0.88270) Boundary_loss: 0.013132 (0.013233) Loss: 0.67392 (0.89593) +2025-08-21,17:14:22 | INFO | Train Epoch: 2 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.73527 (0.88240) Boundary_loss: 0.013258 (0.013233) Loss: 0.74853 (0.89563) +2025-08-21,17:15:21 | INFO | Train Epoch: 2 [25139712/26365952 (95%)] Avg Boundaries (per batch): 18.924 Boundary Ratio: 0.097 Contrastive_loss: 0.78802 (0.88220) Boundary_loss: 0.013196 (0.013233) Loss: 0.80121 (0.89544) +2025-08-21,17:16:20 | INFO | Train Epoch: 2 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.73465 (0.88190) Boundary_loss: 0.013178 (0.013233) Loss: 0.74782 (0.89514) +2025-08-21,17:17:19 | INFO | Train Epoch: 2 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.80114 (0.88174) Boundary_loss: 0.013069 (0.013233) Loss: 0.81421 (0.89497) +2025-08-21,17:18:18 | INFO | Train Epoch: 2 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.86531 (0.88171) Boundary_loss: 0.013157 (0.013232) Loss: 0.87846 (0.89494) +2025-08-21,17:19:17 | INFO | Train Epoch: 2 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.729 Boundary Ratio: 0.101 Contrastive_loss: 0.86851 (0.88168) Boundary_loss: 0.013165 (0.013232) Loss: 0.88167 (0.89491) +2025-08-21,17:20:16 | INFO | Train Epoch: 2 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.83157 (0.88158) Boundary_loss: 0.013140 (0.013232) Loss: 0.84471 (0.89481) +2025-08-21,17:21:15 | INFO | Train Epoch: 2 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.66279 (0.88114) Boundary_loss: 0.013188 (0.013232) Loss: 0.67598 (0.89437) +2025-08-21,17:22:13 | INFO | Train Epoch: 2 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.66261 (0.88070) Boundary_loss: 0.013163 (0.013232) Loss: 0.67577 (0.89393) +2025-08-21,17:23:12 | INFO | Train Epoch: 2 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.79609 (0.88053) Boundary_loss: 0.013147 (0.013232) Loss: 0.80924 (0.89377) +2025-08-21,17:24:11 | INFO | Train Epoch: 2 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.73475 (0.88024) Boundary_loss: 0.013229 (0.013232) Loss: 0.74798 (0.89347) +2025-08-21,17:25:10 | INFO | Train Epoch: 2 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.72534 (0.87993) Boundary_loss: 0.013117 (0.013231) Loss: 0.73846 (0.89317) +2025-08-21,17:26:09 | INFO | Train Epoch: 2 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.81073 (0.87980) Boundary_loss: 0.013051 (0.013231) Loss: 0.82378 (0.89303) +2025-08-21,17:27:08 | INFO | Train Epoch: 2 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.81605 (0.87967) Boundary_loss: 0.013337 (0.013231) Loss: 0.82939 (0.89290) +2025-08-21,17:28:07 | INFO | Train Epoch: 2 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.73163 (0.87938) Boundary_loss: 0.013067 (0.013231) Loss: 0.74469 (0.89261) +2025-08-21,17:29:06 | INFO | Train Epoch: 2 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.65122 (0.87893) Boundary_loss: 0.013235 (0.013231) Loss: 0.66446 (0.89216) +2025-08-21,17:30:05 | INFO | Train Epoch: 2 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.66384 (0.87850) Boundary_loss: 0.013072 (0.013231) Loss: 0.67691 (0.89173) +2025-08-21,17:31:04 | INFO | Train Epoch: 2 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.92672 (0.87860) Boundary_loss: 0.013113 (0.013230) Loss: 0.93983 (0.89183) +2025-08-21,17:32:03 | INFO | Train Epoch: 2 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.80641 (0.87845) Boundary_loss: 0.013192 (0.013230) Loss: 0.81960 (0.89169) +2025-08-21,17:33:02 | INFO | Train Epoch: 2 [26061312/26365952 (99%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.76130 (0.87823) Boundary_loss: 0.013255 (0.013230) Loss: 0.77455 (0.89146) +2025-08-21,17:34:01 | INFO | Train Epoch: 2 [26112512/26365952 (99%)] Avg Boundaries (per batch): 18.975 Boundary Ratio: 0.097 Contrastive_loss: 0.78848 (0.87805) Boundary_loss: 0.013361 (0.013231) Loss: 0.80184 (0.89128) +2025-08-21,17:35:00 | INFO | Train Epoch: 2 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.75826 (0.87782) Boundary_loss: 0.013169 (0.013231) Loss: 0.77143 (0.89105) +2025-08-21,17:35:59 | INFO | Train Epoch: 2 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.72830 (0.87752) Boundary_loss: 0.013115 (0.013230) Loss: 0.74141 (0.89075) +2025-08-21,17:36:58 | INFO | Train Epoch: 2 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.71178 (0.87720) Boundary_loss: 0.013195 (0.013230) Loss: 0.72498 (0.89043) +2025-08-21,17:37:57 | INFO | Train Epoch: 2 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 0.85732 (0.87716) Boundary_loss: 0.013248 (0.013230) Loss: 0.87056 (0.89039) +2025-08-21,17:38:53 | INFO | Train Epoch: 2 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.832 Boundary Ratio: 0.101 Contrastive_loss: 0.73617 (0.87689) Boundary_loss: 0.013131 (0.013230) Loss: 0.74930 (0.89012) +2025-08-21,17:38:53 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-21,17:38:53 | INFO | [Epoch 2] Average Step Time: 0.593s | Average GPU Memory: 33.6 GB +2025-08-21,17:38:53 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-21,17:38:53 | INFO | Starting zero-shot imagenet. +2025-08-21,17:38:53 | INFO | Building zero-shot classifier +2025-08-21,17:39:03 | INFO | Using classifier +2025-08-21,17:39:47 | INFO | Finished zero-shot imagenet. +2025-08-21,17:39:47 | INFO | Eval Epoch: 3 imagenet-zeroshot-val-top1: 0.2097 imagenet-zeroshot-val-top5: 0.4413 +2025-08-21,17:39:48 | INFO | Start epoch 3 +2025-08-21,17:39:50 | INFO | Train Epoch: 3 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.582 Boundary Ratio: 0.100 Contrastive_loss: 0.80895 (0.80895) Boundary_loss: 0.013239 (0.013239) Loss: 0.82219 (0.82219) +2025-08-21,17:40:49 | INFO | Train Epoch: 3 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.77911 (0.79403) Boundary_loss: 0.013161 (0.013200) Loss: 0.79227 (0.80723) +2025-08-21,17:41:48 | INFO | Train Epoch: 3 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.64578 (0.74461) Boundary_loss: 0.013235 (0.013212) Loss: 0.65902 (0.75782) +2025-08-21,17:42:47 | INFO | Train Epoch: 3 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.791 Boundary Ratio: 0.101 Contrastive_loss: 0.82941 (0.76581) Boundary_loss: 0.013254 (0.013222) Loss: 0.84266 (0.77903) +2025-08-21,17:43:46 | INFO | Train Epoch: 3 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.67844 (0.74834) Boundary_loss: 0.013208 (0.013219) Loss: 0.69165 (0.76156) +2025-08-21,17:44:45 | INFO | Train Epoch: 3 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.65271 (0.73240) Boundary_loss: 0.012999 (0.013183) Loss: 0.66571 (0.74558) +2025-08-21,17:45:44 | INFO | Train Epoch: 3 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.78915 (0.74051) Boundary_loss: 0.013141 (0.013177) Loss: 0.80229 (0.75368) +2025-08-21,17:46:43 | INFO | Train Epoch: 3 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.613 Boundary Ratio: 0.100 Contrastive_loss: 0.77340 (0.74462) Boundary_loss: 0.013268 (0.013188) Loss: 0.78667 (0.75781) +2025-08-21,17:47:42 | INFO | Train Epoch: 3 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 0.70099 (0.73977) Boundary_loss: 0.013225 (0.013192) Loss: 0.71422 (0.75296) +2025-08-21,17:48:41 | INFO | Train Epoch: 3 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.82929 (0.74872) Boundary_loss: 0.013226 (0.013196) Loss: 0.84252 (0.76192) +2025-08-21,17:49:40 | INFO | Train Epoch: 3 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.65287 (0.74001) Boundary_loss: 0.013102 (0.013187) Loss: 0.66597 (0.75320) +2025-08-21,17:50:39 | INFO | Train Epoch: 3 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.76303 (0.74193) Boundary_loss: 0.013185 (0.013187) Loss: 0.77621 (0.75511) +2025-08-21,17:51:38 | INFO | Train Epoch: 3 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.615 Boundary Ratio: 0.100 Contrastive_loss: 0.86365 (0.75129) Boundary_loss: 0.013300 (0.013196) Loss: 0.87695 (0.76449) +2025-08-21,17:52:37 | INFO | Train Epoch: 3 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.61971 (0.74189) Boundary_loss: 0.013155 (0.013193) Loss: 0.63286 (0.75508) +2025-08-21,17:53:36 | INFO | Train Epoch: 3 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.70303 (0.73930) Boundary_loss: 0.013240 (0.013196) Loss: 0.71627 (0.75250) +2025-08-21,17:54:35 | INFO | Train Epoch: 3 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 0.66751 (0.73481) Boundary_loss: 0.013045 (0.013186) Loss: 0.68055 (0.74800) +2025-08-21,17:55:34 | INFO | Train Epoch: 3 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.574 Boundary Ratio: 0.100 Contrastive_loss: 0.79914 (0.73860) Boundary_loss: 0.013183 (0.013186) Loss: 0.81232 (0.75178) +2025-08-21,17:56:32 | INFO | Train Epoch: 3 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.68840 (0.73581) Boundary_loss: 0.013241 (0.013189) Loss: 0.70164 (0.74900) +2025-08-21,17:57:31 | INFO | Train Epoch: 3 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.63844 (0.73068) Boundary_loss: 0.013186 (0.013189) Loss: 0.65162 (0.74387) +2025-08-21,17:58:30 | INFO | Train Epoch: 3 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.68215 (0.72826) Boundary_loss: 0.013304 (0.013195) Loss: 0.69545 (0.74145) +2025-08-21,17:59:29 | INFO | Train Epoch: 3 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.70726 (0.72726) Boundary_loss: 0.013169 (0.013194) Loss: 0.72043 (0.74045) +2025-08-21,18:00:28 | INFO | Train Epoch: 3 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.77895 (0.72961) Boundary_loss: 0.013165 (0.013192) Loss: 0.79211 (0.74280) +2025-08-21,18:01:27 | INFO | Train Epoch: 3 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.57838 (0.72303) Boundary_loss: 0.013207 (0.013193) Loss: 0.59159 (0.73623) +2025-08-21,18:02:26 | INFO | Train Epoch: 3 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.693 Boundary Ratio: 0.100 Contrastive_loss: 0.68142 (0.72130) Boundary_loss: 0.013210 (0.013194) Loss: 0.69463 (0.73449) +2025-08-21,18:03:25 | INFO | Train Epoch: 3 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.83242 (0.72574) Boundary_loss: 0.013173 (0.013193) Loss: 0.84559 (0.73894) +2025-08-21,18:04:24 | INFO | Train Epoch: 3 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.75925 (0.72703) Boundary_loss: 0.013042 (0.013187) Loss: 0.77230 (0.74022) +2025-08-21,18:05:23 | INFO | Train Epoch: 3 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.75237 (0.72797) Boundary_loss: 0.013195 (0.013187) Loss: 0.76556 (0.74116) +2025-08-21,18:06:22 | INFO | Train Epoch: 3 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.79760 (0.73046) Boundary_loss: 0.013064 (0.013183) Loss: 0.81066 (0.74364) +2025-08-21,18:07:21 | INFO | Train Epoch: 3 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.64938 (0.72766) Boundary_loss: 0.013100 (0.013180) Loss: 0.66248 (0.74084) +2025-08-21,18:08:20 | INFO | Train Epoch: 3 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.67694 (0.72597) Boundary_loss: 0.013090 (0.013177) Loss: 0.69003 (0.73915) +2025-08-21,18:09:19 | INFO | Train Epoch: 3 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.80995 (0.72868) Boundary_loss: 0.013292 (0.013181) Loss: 0.82324 (0.74186) +2025-08-21,18:10:18 | INFO | Train Epoch: 3 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.65137 (0.72626) Boundary_loss: 0.013190 (0.013181) Loss: 0.66456 (0.73944) +2025-08-21,18:11:17 | INFO | Train Epoch: 3 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.71548 (0.72594) Boundary_loss: 0.013202 (0.013182) Loss: 0.72868 (0.73912) +2025-08-21,18:12:16 | INFO | Train Epoch: 3 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.81686 (0.72861) Boundary_loss: 0.013282 (0.013185) Loss: 0.83014 (0.74180) +2025-08-21,18:13:15 | INFO | Train Epoch: 3 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.77984 (0.73007) Boundary_loss: 0.013129 (0.013183) Loss: 0.79297 (0.74326) +2025-08-21,18:14:13 | INFO | Train Epoch: 3 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.70356 (0.72934) Boundary_loss: 0.013230 (0.013184) Loss: 0.71679 (0.74252) +2025-08-21,18:15:12 | INFO | Train Epoch: 3 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.699 Boundary Ratio: 0.101 Contrastive_loss: 0.80949 (0.73150) Boundary_loss: 0.013284 (0.013187) Loss: 0.82277 (0.74469) +2025-08-21,18:16:11 | INFO | Train Epoch: 3 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.75081 (0.73201) Boundary_loss: 0.013210 (0.013188) Loss: 0.76402 (0.74520) +2025-08-21,18:17:10 | INFO | Train Epoch: 3 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.76027 (0.73274) Boundary_loss: 0.013175 (0.013187) Loss: 0.77344 (0.74592) +2025-08-21,18:18:09 | INFO | Train Epoch: 3 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.71902 (0.73239) Boundary_loss: 0.013197 (0.013188) Loss: 0.73222 (0.74558) +2025-08-21,18:19:08 | INFO | Train Epoch: 3 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.71021 (0.73185) Boundary_loss: 0.013121 (0.013186) Loss: 0.72333 (0.74504) +2025-08-21,18:20:06 | INFO | Train Epoch: 3 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.78100 (0.73302) Boundary_loss: 0.013150 (0.013185) Loss: 0.79415 (0.74621) +2025-08-21,18:21:05 | INFO | Train Epoch: 3 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.785 Boundary Ratio: 0.101 Contrastive_loss: 0.71547 (0.73262) Boundary_loss: 0.013178 (0.013185) Loss: 0.72865 (0.74580) +2025-08-21,18:22:04 | INFO | Train Epoch: 3 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.76052 (0.73325) Boundary_loss: 0.013117 (0.013183) Loss: 0.77364 (0.74643) +2025-08-21,18:23:03 | INFO | Train Epoch: 3 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.65546 (0.73152) Boundary_loss: 0.013310 (0.013186) Loss: 0.66877 (0.74471) +2025-08-21,18:24:02 | INFO | Train Epoch: 3 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.71023 (0.73106) Boundary_loss: 0.013197 (0.013186) Loss: 0.72343 (0.74424) +2025-08-21,18:25:01 | INFO | Train Epoch: 3 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.72248 (0.73088) Boundary_loss: 0.013224 (0.013187) Loss: 0.73570 (0.74406) +2025-08-21,18:26:00 | INFO | Train Epoch: 3 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.74332 (0.73113) Boundary_loss: 0.013219 (0.013188) Loss: 0.75653 (0.74432) +2025-08-21,18:26:59 | INFO | Train Epoch: 3 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.73651 (0.73124) Boundary_loss: 0.013078 (0.013186) Loss: 0.74959 (0.74443) +2025-08-21,18:27:58 | INFO | Train Epoch: 3 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.674 Boundary Ratio: 0.100 Contrastive_loss: 0.73917 (0.73140) Boundary_loss: 0.013234 (0.013187) Loss: 0.75241 (0.74459) +2025-08-21,18:28:57 | INFO | Train Epoch: 3 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.81937 (0.73313) Boundary_loss: 0.013267 (0.013188) Loss: 0.83264 (0.74632) +2025-08-21,18:29:56 | INFO | Train Epoch: 3 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.79811 (0.73438) Boundary_loss: 0.013237 (0.013189) Loss: 0.81134 (0.74757) +2025-08-21,18:30:55 | INFO | Train Epoch: 3 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.62126 (0.73224) Boundary_loss: 0.013175 (0.013189) Loss: 0.63444 (0.74543) +2025-08-21,18:31:54 | INFO | Train Epoch: 3 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.69589 (0.73157) Boundary_loss: 0.013069 (0.013187) Loss: 0.70896 (0.74476) +2025-08-21,18:32:52 | INFO | Train Epoch: 3 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.70171 (0.73103) Boundary_loss: 0.013180 (0.013187) Loss: 0.71488 (0.74421) +2025-08-21,18:33:51 | INFO | Train Epoch: 3 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.71570 (0.73075) Boundary_loss: 0.013191 (0.013187) Loss: 0.72889 (0.74394) +2025-08-21,18:34:50 | INFO | Train Epoch: 3 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.79257 (0.73184) Boundary_loss: 0.013278 (0.013188) Loss: 0.80584 (0.74503) +2025-08-21,18:35:49 | INFO | Train Epoch: 3 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.75222 (0.73219) Boundary_loss: 0.013228 (0.013189) Loss: 0.76545 (0.74538) +2025-08-21,18:36:48 | INFO | Train Epoch: 3 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.63805 (0.73059) Boundary_loss: 0.013244 (0.013190) Loss: 0.65129 (0.74378) +2025-08-21,18:37:47 | INFO | Train Epoch: 3 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.82440 (0.73216) Boundary_loss: 0.013183 (0.013190) Loss: 0.83758 (0.74535) +2025-08-21,18:38:46 | INFO | Train Epoch: 3 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.55226 (0.72921) Boundary_loss: 0.013240 (0.013191) Loss: 0.56550 (0.74240) +2025-08-21,18:39:45 | INFO | Train Epoch: 3 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.76993 (0.72986) Boundary_loss: 0.013197 (0.013191) Loss: 0.78312 (0.74306) +2025-08-21,18:40:44 | INFO | Train Epoch: 3 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 0.69599 (0.72933) Boundary_loss: 0.013104 (0.013189) Loss: 0.70909 (0.74252) +2025-08-21,18:41:43 | INFO | Train Epoch: 3 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 0.75667 (0.72975) Boundary_loss: 0.013141 (0.013189) Loss: 0.76981 (0.74294) +2025-08-21,18:42:42 | INFO | Train Epoch: 3 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.78305 (0.73057) Boundary_loss: 0.013147 (0.013188) Loss: 0.79620 (0.74376) +2025-08-21,18:43:41 | INFO | Train Epoch: 3 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 18.771 Boundary Ratio: 0.096 Contrastive_loss: 0.73492 (0.73064) Boundary_loss: 0.013231 (0.013189) Loss: 0.74815 (0.74383) +2025-08-21,18:44:40 | INFO | Train Epoch: 3 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.68649 (0.72998) Boundary_loss: 0.013078 (0.013187) Loss: 0.69957 (0.74317) +2025-08-21,18:45:39 | INFO | Train Epoch: 3 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.658 Boundary Ratio: 0.100 Contrastive_loss: 0.68239 (0.72928) Boundary_loss: 0.013199 (0.013187) Loss: 0.69559 (0.74247) +2025-08-21,18:46:37 | INFO | Train Epoch: 3 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.83177 (0.73077) Boundary_loss: 0.013101 (0.013186) Loss: 0.84487 (0.74395) +2025-08-21,18:47:36 | INFO | Train Epoch: 3 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.64487 (0.72954) Boundary_loss: 0.013325 (0.013188) Loss: 0.65819 (0.74273) +2025-08-21,18:48:35 | INFO | Train Epoch: 3 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 18.609 Boundary Ratio: 0.095 Contrastive_loss: 0.71006 (0.72926) Boundary_loss: 0.013172 (0.013188) Loss: 0.72323 (0.74245) +2025-08-21,18:49:34 | INFO | Train Epoch: 3 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.70777 (0.72897) Boundary_loss: 0.013310 (0.013189) Loss: 0.72108 (0.74216) +2025-08-21,18:50:33 | INFO | Train Epoch: 3 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.69372 (0.72848) Boundary_loss: 0.013072 (0.013188) Loss: 0.70679 (0.74167) +2025-08-21,18:51:32 | INFO | Train Epoch: 3 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.75801 (0.72888) Boundary_loss: 0.013082 (0.013186) Loss: 0.77109 (0.74207) +2025-08-21,18:52:31 | INFO | Train Epoch: 3 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 0.84632 (0.73045) Boundary_loss: 0.013159 (0.013186) Loss: 0.85948 (0.74363) +2025-08-21,18:53:30 | INFO | Train Epoch: 3 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.59894 (0.72872) Boundary_loss: 0.013103 (0.013185) Loss: 0.61204 (0.74190) +2025-08-21,18:54:29 | INFO | Train Epoch: 3 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 18.918 Boundary Ratio: 0.097 Contrastive_loss: 0.70974 (0.72847) Boundary_loss: 0.013314 (0.013186) Loss: 0.72305 (0.74166) +2025-08-21,18:55:28 | INFO | Train Epoch: 3 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.77871 (0.72912) Boundary_loss: 0.013116 (0.013186) Loss: 0.79183 (0.74230) +2025-08-21,18:56:27 | INFO | Train Epoch: 3 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.80543 (0.73008) Boundary_loss: 0.013131 (0.013185) Loss: 0.81856 (0.74327) +2025-08-21,18:57:25 | INFO | Train Epoch: 3 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 18.844 Boundary Ratio: 0.096 Contrastive_loss: 0.78950 (0.73082) Boundary_loss: 0.013209 (0.013185) Loss: 0.80271 (0.74401) +2025-08-21,18:58:24 | INFO | Train Epoch: 3 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.67964 (0.73019) Boundary_loss: 0.013203 (0.013185) Loss: 0.69284 (0.74338) +2025-08-21,18:59:23 | INFO | Train Epoch: 3 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.73861 (0.73030) Boundary_loss: 0.013085 (0.013184) Loss: 0.75169 (0.74348) +2025-08-21,19:00:22 | INFO | Train Epoch: 3 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.63465 (0.72914) Boundary_loss: 0.013181 (0.013184) Loss: 0.64783 (0.74233) +2025-08-21,19:01:21 | INFO | Train Epoch: 3 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 0.75275 (0.72942) Boundary_loss: 0.013152 (0.013184) Loss: 0.76590 (0.74261) +2025-08-21,19:02:20 | INFO | Train Epoch: 3 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 18.865 Boundary Ratio: 0.096 Contrastive_loss: 0.71435 (0.72925) Boundary_loss: 0.013256 (0.013185) Loss: 0.72761 (0.74243) +2025-08-21,19:03:19 | INFO | Train Epoch: 3 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.66623 (0.72851) Boundary_loss: 0.013200 (0.013185) Loss: 0.67943 (0.74170) +2025-08-21,19:04:18 | INFO | Train Epoch: 3 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.64517 (0.72756) Boundary_loss: 0.013360 (0.013187) Loss: 0.65853 (0.74074) +2025-08-21,19:05:17 | INFO | Train Epoch: 3 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.67354 (0.72694) Boundary_loss: 0.013203 (0.013187) Loss: 0.68675 (0.74013) +2025-08-21,19:06:16 | INFO | Train Epoch: 3 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 18.871 Boundary Ratio: 0.096 Contrastive_loss: 0.89639 (0.72885) Boundary_loss: 0.013162 (0.013187) Loss: 0.90956 (0.74203) +2025-08-21,19:07:15 | INFO | Train Epoch: 3 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.78170 (0.72943) Boundary_loss: 0.013215 (0.013187) Loss: 0.79491 (0.74262) +2025-08-21,19:08:13 | INFO | Train Epoch: 3 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.82801 (0.73052) Boundary_loss: 0.013199 (0.013187) Loss: 0.84121 (0.74370) +2025-08-21,19:09:12 | INFO | Train Epoch: 3 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 18.840 Boundary Ratio: 0.096 Contrastive_loss: 0.70128 (0.73020) Boundary_loss: 0.013205 (0.013187) Loss: 0.71449 (0.74339) +2025-08-21,19:10:11 | INFO | Train Epoch: 3 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 18.881 Boundary Ratio: 0.096 Contrastive_loss: 0.62850 (0.72911) Boundary_loss: 0.013251 (0.013188) Loss: 0.64175 (0.74229) +2025-08-21,19:11:10 | INFO | Train Epoch: 3 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.81220 (0.72999) Boundary_loss: 0.013218 (0.013188) Loss: 0.82542 (0.74318) +2025-08-21,19:12:09 | INFO | Train Epoch: 3 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.76701 (0.73038) Boundary_loss: 0.013391 (0.013190) Loss: 0.78041 (0.74357) +2025-08-21,19:13:08 | INFO | Train Epoch: 3 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.57052 (0.72871) Boundary_loss: 0.013152 (0.013190) Loss: 0.58368 (0.74190) +2025-08-21,19:14:07 | INFO | Train Epoch: 3 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.71280 (0.72855) Boundary_loss: 0.013246 (0.013191) Loss: 0.72605 (0.74174) +2025-08-21,19:15:06 | INFO | Train Epoch: 3 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.648 Boundary Ratio: 0.100 Contrastive_loss: 0.73529 (0.72862) Boundary_loss: 0.013222 (0.013191) Loss: 0.74852 (0.74181) +2025-08-21,19:16:05 | INFO | Train Epoch: 3 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.72158 (0.72855) Boundary_loss: 0.013266 (0.013192) Loss: 0.73485 (0.74174) +2025-08-21,19:17:04 | INFO | Train Epoch: 3 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.65415 (0.72780) Boundary_loss: 0.013073 (0.013191) Loss: 0.66722 (0.74099) +2025-08-21,19:18:03 | INFO | Train Epoch: 3 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.75373 (0.72806) Boundary_loss: 0.013083 (0.013189) Loss: 0.76681 (0.74125) +2025-08-21,19:19:01 | INFO | Train Epoch: 3 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.73323 (0.72811) Boundary_loss: 0.013185 (0.013189) Loss: 0.74642 (0.74130) +2025-08-21,19:20:00 | INFO | Train Epoch: 3 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.67747 (0.72762) Boundary_loss: 0.013364 (0.013191) Loss: 0.69083 (0.74081) +2025-08-21,19:20:59 | INFO | Train Epoch: 3 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.64191 (0.72679) Boundary_loss: 0.013164 (0.013191) Loss: 0.65507 (0.73999) +2025-08-21,19:21:58 | INFO | Train Epoch: 3 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.76178 (0.72713) Boundary_loss: 0.013148 (0.013190) Loss: 0.77493 (0.74032) +2025-08-21,19:22:57 | INFO | Train Epoch: 3 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.73887 (0.72724) Boundary_loss: 0.013131 (0.013190) Loss: 0.75200 (0.74043) +2025-08-21,19:23:56 | INFO | Train Epoch: 3 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.79307 (0.72785) Boundary_loss: 0.013245 (0.013190) Loss: 0.80632 (0.74104) +2025-08-21,19:24:55 | INFO | Train Epoch: 3 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.69755 (0.72757) Boundary_loss: 0.013256 (0.013191) Loss: 0.71081 (0.74076) +2025-08-21,19:25:54 | INFO | Train Epoch: 3 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.64492 (0.72682) Boundary_loss: 0.013180 (0.013191) Loss: 0.65810 (0.74001) +2025-08-21,19:26:53 | INFO | Train Epoch: 3 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 0.75436 (0.72707) Boundary_loss: 0.013087 (0.013190) Loss: 0.76744 (0.74026) +2025-08-21,19:27:52 | INFO | Train Epoch: 3 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.73233 (0.72711) Boundary_loss: 0.013153 (0.013190) Loss: 0.74548 (0.74030) +2025-08-21,19:28:51 | INFO | Train Epoch: 3 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.795 Boundary Ratio: 0.101 Contrastive_loss: 0.71864 (0.72704) Boundary_loss: 0.013123 (0.013189) Loss: 0.73177 (0.74023) +2025-08-21,19:29:50 | INFO | Train Epoch: 3 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.72967 (0.72706) Boundary_loss: 0.013327 (0.013190) Loss: 0.74300 (0.74025) +2025-08-21,19:30:49 | INFO | Train Epoch: 3 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.75904 (0.72734) Boundary_loss: 0.013125 (0.013190) Loss: 0.77216 (0.74053) +2025-08-21,19:31:48 | INFO | Train Epoch: 3 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.701 Boundary Ratio: 0.101 Contrastive_loss: 0.64823 (0.72665) Boundary_loss: 0.013153 (0.013189) Loss: 0.66138 (0.73984) +2025-08-21,19:32:47 | INFO | Train Epoch: 3 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 0.70773 (0.72649) Boundary_loss: 0.013325 (0.013191) Loss: 0.72105 (0.73968) +2025-08-21,19:33:46 | INFO | Train Epoch: 3 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.76718 (0.72684) Boundary_loss: 0.013215 (0.013191) Loss: 0.78039 (0.74003) +2025-08-21,19:34:45 | INFO | Train Epoch: 3 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.662 Boundary Ratio: 0.100 Contrastive_loss: 0.71259 (0.72672) Boundary_loss: 0.013277 (0.013191) Loss: 0.72587 (0.73991) +2025-08-21,19:35:44 | INFO | Train Epoch: 3 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.68440 (0.72636) Boundary_loss: 0.013213 (0.013192) Loss: 0.69761 (0.73955) +2025-08-21,19:36:43 | INFO | Train Epoch: 3 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.79347 (0.72692) Boundary_loss: 0.013211 (0.013192) Loss: 0.80668 (0.74011) +2025-08-21,19:37:42 | INFO | Train Epoch: 3 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.72285 (0.72689) Boundary_loss: 0.013102 (0.013191) Loss: 0.73596 (0.74008) +2025-08-21,19:38:41 | INFO | Train Epoch: 3 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.69281 (0.72661) Boundary_loss: 0.013216 (0.013191) Loss: 0.70603 (0.73980) +2025-08-21,19:39:40 | INFO | Train Epoch: 3 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.78149 (0.72705) Boundary_loss: 0.013212 (0.013191) Loss: 0.79470 (0.74025) +2025-08-21,19:40:39 | INFO | Train Epoch: 3 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 0.74707 (0.72722) Boundary_loss: 0.013091 (0.013191) Loss: 0.76016 (0.74041) +2025-08-21,19:41:37 | INFO | Train Epoch: 3 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.74766 (0.72738) Boundary_loss: 0.013280 (0.013191) Loss: 0.76094 (0.74057) +2025-08-21,19:42:36 | INFO | Train Epoch: 3 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 18.898 Boundary Ratio: 0.096 Contrastive_loss: 0.73408 (0.72743) Boundary_loss: 0.013068 (0.013190) Loss: 0.74715 (0.74062) +2025-08-21,19:43:35 | INFO | Train Epoch: 3 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.76018 (0.72769) Boundary_loss: 0.013137 (0.013190) Loss: 0.77332 (0.74088) +2025-08-21,19:44:34 | INFO | Train Epoch: 3 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 0.62153 (0.72686) Boundary_loss: 0.013287 (0.013191) Loss: 0.63482 (0.74005) +2025-08-21,19:45:33 | INFO | Train Epoch: 3 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.61700 (0.72601) Boundary_loss: 0.013327 (0.013192) Loss: 0.63032 (0.73920) +2025-08-21,19:46:32 | INFO | Train Epoch: 3 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.590 Boundary Ratio: 0.100 Contrastive_loss: 0.79128 (0.72651) Boundary_loss: 0.013387 (0.013193) Loss: 0.80466 (0.73970) +2025-08-21,19:47:31 | INFO | Train Epoch: 3 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.74826 (0.72668) Boundary_loss: 0.013255 (0.013194) Loss: 0.76151 (0.73987) +2025-08-21,19:48:30 | INFO | Train Epoch: 3 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.68511 (0.72636) Boundary_loss: 0.013261 (0.013194) Loss: 0.69837 (0.73956) +2025-08-21,19:49:29 | INFO | Train Epoch: 3 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.85977 (0.72737) Boundary_loss: 0.013188 (0.013194) Loss: 0.87296 (0.74056) +2025-08-21,19:50:28 | INFO | Train Epoch: 3 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.83333 (0.72816) Boundary_loss: 0.013263 (0.013195) Loss: 0.84660 (0.74135) +2025-08-21,19:51:27 | INFO | Train Epoch: 3 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 18.928 Boundary Ratio: 0.097 Contrastive_loss: 0.65227 (0.72759) Boundary_loss: 0.013192 (0.013195) Loss: 0.66546 (0.74079) +2025-08-21,19:52:26 | INFO | Train Epoch: 3 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.55105 (0.72630) Boundary_loss: 0.013256 (0.013195) Loss: 0.56431 (0.73949) +2025-08-21,19:53:25 | INFO | Train Epoch: 3 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.68563 (0.72600) Boundary_loss: 0.013242 (0.013195) Loss: 0.69887 (0.73919) +2025-08-21,19:54:24 | INFO | Train Epoch: 3 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.61534 (0.72520) Boundary_loss: 0.013283 (0.013196) Loss: 0.62862 (0.73839) +2025-08-21,19:55:23 | INFO | Train Epoch: 3 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.64007 (0.72458) Boundary_loss: 0.013243 (0.013196) Loss: 0.65332 (0.73778) +2025-08-21,19:56:22 | INFO | Train Epoch: 3 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.69385 (0.72437) Boundary_loss: 0.013371 (0.013198) Loss: 0.70722 (0.73756) +2025-08-21,19:57:21 | INFO | Train Epoch: 3 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.73166 (0.72442) Boundary_loss: 0.013288 (0.013198) Loss: 0.74495 (0.73762) +2025-08-21,19:58:20 | INFO | Train Epoch: 3 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.68998 (0.72417) Boundary_loss: 0.013074 (0.013197) Loss: 0.70305 (0.73737) +2025-08-21,19:59:19 | INFO | Train Epoch: 3 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.72602 (0.72419) Boundary_loss: 0.013164 (0.013197) Loss: 0.73919 (0.73738) +2025-08-21,20:00:18 | INFO | Train Epoch: 3 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.72106 (0.72417) Boundary_loss: 0.013216 (0.013197) Loss: 0.73428 (0.73736) +2025-08-21,20:01:17 | INFO | Train Epoch: 3 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.68901 (0.72392) Boundary_loss: 0.013154 (0.013197) Loss: 0.70217 (0.73712) +2025-08-21,20:02:16 | INFO | Train Epoch: 3 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.80622 (0.72449) Boundary_loss: 0.013209 (0.013197) Loss: 0.81943 (0.73768) +2025-08-21,20:03:15 | INFO | Train Epoch: 3 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.64881 (0.72397) Boundary_loss: 0.013213 (0.013197) Loss: 0.66202 (0.73717) +2025-08-21,20:04:14 | INFO | Train Epoch: 3 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.73733 (0.72406) Boundary_loss: 0.013192 (0.013197) Loss: 0.75052 (0.73726) +2025-08-21,20:05:13 | INFO | Train Epoch: 3 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.943 Boundary Ratio: 0.102 Contrastive_loss: 0.63406 (0.72346) Boundary_loss: 0.013241 (0.013198) Loss: 0.64731 (0.73666) +2025-08-21,20:06:12 | INFO | Train Epoch: 3 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.79287 (0.72392) Boundary_loss: 0.013222 (0.013198) Loss: 0.80610 (0.73712) +2025-08-21,20:07:11 | INFO | Train Epoch: 3 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 18.975 Boundary Ratio: 0.097 Contrastive_loss: 0.70236 (0.72378) Boundary_loss: 0.013222 (0.013198) Loss: 0.71558 (0.73698) +2025-08-21,20:08:10 | INFO | Train Epoch: 3 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.64772 (0.72328) Boundary_loss: 0.013215 (0.013198) Loss: 0.66094 (0.73648) +2025-08-21,20:09:09 | INFO | Train Epoch: 3 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 0.76610 (0.72356) Boundary_loss: 0.013166 (0.013198) Loss: 0.77927 (0.73676) +2025-08-21,20:10:08 | INFO | Train Epoch: 3 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 18.889 Boundary Ratio: 0.096 Contrastive_loss: 0.72057 (0.72354) Boundary_loss: 0.013095 (0.013197) Loss: 0.73367 (0.73674) +2025-08-21,20:11:07 | INFO | Train Epoch: 3 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.57164 (0.72256) Boundary_loss: 0.013100 (0.013196) Loss: 0.58474 (0.73576) +2025-08-21,20:12:06 | INFO | Train Epoch: 3 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.73246 (0.72262) Boundary_loss: 0.013161 (0.013196) Loss: 0.74562 (0.73582) +2025-08-21,20:13:04 | INFO | Train Epoch: 3 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 18.746 Boundary Ratio: 0.096 Contrastive_loss: 0.80002 (0.72311) Boundary_loss: 0.013163 (0.013196) Loss: 0.81318 (0.73631) +2025-08-21,20:14:04 | INFO | Train Epoch: 3 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.590 Boundary Ratio: 0.100 Contrastive_loss: 0.55083 (0.72202) Boundary_loss: 0.013156 (0.013196) Loss: 0.56399 (0.73522) +2025-08-21,20:15:02 | INFO | Train Epoch: 3 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.62034 (0.72139) Boundary_loss: 0.013205 (0.013196) Loss: 0.63354 (0.73458) +2025-08-21,20:16:01 | INFO | Train Epoch: 3 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.68594 (0.72116) Boundary_loss: 0.013221 (0.013196) Loss: 0.69916 (0.73436) +2025-08-21,20:17:00 | INFO | Train Epoch: 3 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.69039 (0.72097) Boundary_loss: 0.013275 (0.013196) Loss: 0.70366 (0.73417) +2025-08-21,20:17:59 | INFO | Train Epoch: 3 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.63038 (0.72041) Boundary_loss: 0.013028 (0.013195) Loss: 0.64341 (0.73361) +2025-08-21,20:18:58 | INFO | Train Epoch: 3 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.67556 (0.72014) Boundary_loss: 0.013142 (0.013195) Loss: 0.68870 (0.73333) +2025-08-21,20:19:57 | INFO | Train Epoch: 3 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.66654 (0.71981) Boundary_loss: 0.013142 (0.013195) Loss: 0.67968 (0.73301) +2025-08-21,20:20:56 | INFO | Train Epoch: 3 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.73560 (0.71991) Boundary_loss: 0.013204 (0.013195) Loss: 0.74881 (0.73310) +2025-08-21,20:21:55 | INFO | Train Epoch: 3 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 0.72756 (0.71995) Boundary_loss: 0.013166 (0.013195) Loss: 0.74073 (0.73315) +2025-08-21,20:22:54 | INFO | Train Epoch: 3 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.80362 (0.72045) Boundary_loss: 0.013243 (0.013195) Loss: 0.81686 (0.73365) +2025-08-21,20:23:53 | INFO | Train Epoch: 3 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.68578 (0.72025) Boundary_loss: 0.013185 (0.013195) Loss: 0.69897 (0.73344) +2025-08-21,20:24:52 | INFO | Train Epoch: 3 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 18.725 Boundary Ratio: 0.096 Contrastive_loss: 0.77373 (0.72056) Boundary_loss: 0.013275 (0.013195) Loss: 0.78701 (0.73376) +2025-08-21,20:25:51 | INFO | Train Epoch: 3 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.61567 (0.71995) Boundary_loss: 0.013108 (0.013195) Loss: 0.62878 (0.73314) +2025-08-21,20:26:50 | INFO | Train Epoch: 3 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.78702 (0.72034) Boundary_loss: 0.013240 (0.013195) Loss: 0.80026 (0.73353) +2025-08-21,20:27:49 | INFO | Train Epoch: 3 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.76641 (0.72061) Boundary_loss: 0.013094 (0.013195) Loss: 0.77950 (0.73380) +2025-08-21,20:28:48 | INFO | Train Epoch: 3 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.69124 (0.72044) Boundary_loss: 0.013243 (0.013195) Loss: 0.70448 (0.73363) +2025-08-21,20:29:47 | INFO | Train Epoch: 3 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.78476 (0.72081) Boundary_loss: 0.013119 (0.013194) Loss: 0.79787 (0.73400) +2025-08-21,20:30:46 | INFO | Train Epoch: 3 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.70185 (0.72070) Boundary_loss: 0.013196 (0.013194) Loss: 0.71504 (0.73389) +2025-08-21,20:31:45 | INFO | Train Epoch: 3 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.727 Boundary Ratio: 0.101 Contrastive_loss: 0.80553 (0.72118) Boundary_loss: 0.013245 (0.013195) Loss: 0.81878 (0.73438) +2025-08-21,20:32:44 | INFO | Train Epoch: 3 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.607 Boundary Ratio: 0.100 Contrastive_loss: 0.86748 (0.72201) Boundary_loss: 0.013222 (0.013195) Loss: 0.88071 (0.73520) +2025-08-21,20:33:43 | INFO | Train Epoch: 3 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 18.975 Boundary Ratio: 0.097 Contrastive_loss: 0.74391 (0.72213) Boundary_loss: 0.013181 (0.013195) Loss: 0.75709 (0.73532) +2025-08-21,20:34:42 | INFO | Train Epoch: 3 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.77855 (0.72245) Boundary_loss: 0.013184 (0.013195) Loss: 0.79173 (0.73564) +2025-08-21,20:35:41 | INFO | Train Epoch: 3 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.76696 (0.72269) Boundary_loss: 0.013070 (0.013194) Loss: 0.78003 (0.73589) +2025-08-21,20:36:40 | INFO | Train Epoch: 3 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.004 Boundary Ratio: 0.097 Contrastive_loss: 0.67580 (0.72243) Boundary_loss: 0.013095 (0.013193) Loss: 0.68889 (0.73563) +2025-08-21,20:37:39 | INFO | Train Epoch: 3 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.69659 (0.72229) Boundary_loss: 0.013257 (0.013194) Loss: 0.70985 (0.73549) +2025-08-21,20:38:38 | INFO | Train Epoch: 3 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.73129 (0.72234) Boundary_loss: 0.013079 (0.013193) Loss: 0.74437 (0.73553) +2025-08-21,20:39:37 | INFO | Train Epoch: 3 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.66407 (0.72202) Boundary_loss: 0.013148 (0.013193) Loss: 0.67722 (0.73522) +2025-08-21,20:40:36 | INFO | Train Epoch: 3 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.66746 (0.72173) Boundary_loss: 0.013260 (0.013193) Loss: 0.68072 (0.73492) +2025-08-21,20:41:35 | INFO | Train Epoch: 3 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 0.64186 (0.72130) Boundary_loss: 0.013102 (0.013193) Loss: 0.65496 (0.73449) +2025-08-21,20:42:34 | INFO | Train Epoch: 3 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.74117 (0.72141) Boundary_loss: 0.013018 (0.013192) Loss: 0.75419 (0.73460) +2025-08-21,20:43:33 | INFO | Train Epoch: 3 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 0.53919 (0.72044) Boundary_loss: 0.013183 (0.013192) Loss: 0.55237 (0.73363) +2025-08-21,20:44:32 | INFO | Train Epoch: 3 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.61883 (0.71990) Boundary_loss: 0.013122 (0.013191) Loss: 0.63195 (0.73309) +2025-08-21,20:45:31 | INFO | Train Epoch: 3 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.67508 (0.71966) Boundary_loss: 0.013224 (0.013192) Loss: 0.68831 (0.73285) +2025-08-21,20:46:30 | INFO | Train Epoch: 3 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.71912 (0.71966) Boundary_loss: 0.013254 (0.013192) Loss: 0.73237 (0.73285) +2025-08-21,20:47:29 | INFO | Train Epoch: 3 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.61702 (0.71913) Boundary_loss: 0.013194 (0.013192) Loss: 0.63021 (0.73232) +2025-08-21,20:48:28 | INFO | Train Epoch: 3 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.641 Boundary Ratio: 0.100 Contrastive_loss: 0.69596 (0.71901) Boundary_loss: 0.013312 (0.013193) Loss: 0.70927 (0.73220) +2025-08-21,20:49:27 | INFO | Train Epoch: 3 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.71698 (0.71900) Boundary_loss: 0.013370 (0.013193) Loss: 0.73035 (0.73219) +2025-08-21,20:50:26 | INFO | Train Epoch: 3 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.69946 (0.71890) Boundary_loss: 0.013208 (0.013194) Loss: 0.71267 (0.73209) +2025-08-21,20:51:25 | INFO | Train Epoch: 3 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.76192 (0.71911) Boundary_loss: 0.013270 (0.013194) Loss: 0.77519 (0.73231) +2025-08-21,20:52:24 | INFO | Train Epoch: 3 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.67987 (0.71892) Boundary_loss: 0.013164 (0.013194) Loss: 0.69303 (0.73211) +2025-08-21,20:53:23 | INFO | Train Epoch: 3 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.74892 (0.71907) Boundary_loss: 0.013045 (0.013193) Loss: 0.76197 (0.73226) +2025-08-21,20:54:22 | INFO | Train Epoch: 3 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.65927 (0.71877) Boundary_loss: 0.013112 (0.013193) Loss: 0.67238 (0.73196) +2025-08-21,20:55:21 | INFO | Train Epoch: 3 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.71336 (0.71874) Boundary_loss: 0.012994 (0.013192) Loss: 0.72636 (0.73193) +2025-08-21,20:56:20 | INFO | Train Epoch: 3 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.79722 (0.71913) Boundary_loss: 0.013195 (0.013192) Loss: 0.81042 (0.73232) +2025-08-21,20:57:19 | INFO | Train Epoch: 3 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.55784 (0.71833) Boundary_loss: 0.013191 (0.013192) Loss: 0.57103 (0.73152) +2025-08-21,20:58:17 | INFO | Train Epoch: 3 [10342912/26365952 (39%)] Avg Boundaries (per batch): 18.781 Boundary Ratio: 0.096 Contrastive_loss: 0.73390 (0.71841) Boundary_loss: 0.013107 (0.013191) Loss: 0.74700 (0.73160) +2025-08-21,20:59:16 | INFO | Train Epoch: 3 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 0.71270 (0.71838) Boundary_loss: 0.013254 (0.013192) Loss: 0.72595 (0.73157) +2025-08-21,21:00:15 | INFO | Train Epoch: 3 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.73040 (0.71844) Boundary_loss: 0.013152 (0.013191) Loss: 0.74355 (0.73163) +2025-08-21,21:01:14 | INFO | Train Epoch: 3 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.66547 (0.71818) Boundary_loss: 0.013092 (0.013191) Loss: 0.67856 (0.73137) +2025-08-21,21:02:13 | INFO | Train Epoch: 3 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.668 Boundary Ratio: 0.100 Contrastive_loss: 0.69849 (0.71809) Boundary_loss: 0.013151 (0.013191) Loss: 0.71164 (0.73128) +2025-08-21,21:03:12 | INFO | Train Epoch: 3 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.66310 (0.71782) Boundary_loss: 0.013337 (0.013191) Loss: 0.67643 (0.73101) +2025-08-21,21:04:11 | INFO | Train Epoch: 3 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.812 Boundary Ratio: 0.101 Contrastive_loss: 0.71749 (0.71782) Boundary_loss: 0.013222 (0.013192) Loss: 0.73072 (0.73101) +2025-08-21,21:05:10 | INFO | Train Epoch: 3 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.68457 (0.71766) Boundary_loss: 0.013155 (0.013191) Loss: 0.69772 (0.73085) +2025-08-21,21:06:09 | INFO | Train Epoch: 3 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.832 Boundary Ratio: 0.101 Contrastive_loss: 0.66150 (0.71740) Boundary_loss: 0.013200 (0.013191) Loss: 0.67470 (0.73059) +2025-08-21,21:07:08 | INFO | Train Epoch: 3 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.70108 (0.71732) Boundary_loss: 0.013406 (0.013192) Loss: 0.71449 (0.73051) +2025-08-21,21:08:07 | INFO | Train Epoch: 3 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.71882 (0.71733) Boundary_loss: 0.013168 (0.013192) Loss: 0.73198 (0.73052) +2025-08-21,21:09:06 | INFO | Train Epoch: 3 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.70143 (0.71725) Boundary_loss: 0.013304 (0.013193) Loss: 0.71474 (0.73044) +2025-08-21,21:10:05 | INFO | Train Epoch: 3 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.594 Boundary Ratio: 0.100 Contrastive_loss: 0.72385 (0.71728) Boundary_loss: 0.013135 (0.013193) Loss: 0.73698 (0.73048) +2025-08-21,21:11:04 | INFO | Train Epoch: 3 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.69627 (0.71719) Boundary_loss: 0.013095 (0.013192) Loss: 0.70937 (0.73038) +2025-08-21,21:12:03 | INFO | Train Epoch: 3 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.76041 (0.71738) Boundary_loss: 0.013153 (0.013192) Loss: 0.77357 (0.73058) +2025-08-21,21:13:02 | INFO | Train Epoch: 3 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.69701 (0.71729) Boundary_loss: 0.013216 (0.013192) Loss: 0.71023 (0.73048) +2025-08-21,21:14:01 | INFO | Train Epoch: 3 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.71902 (0.71730) Boundary_loss: 0.013210 (0.013192) Loss: 0.73223 (0.73049) +2025-08-21,21:14:59 | INFO | Train Epoch: 3 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.67207 (0.71709) Boundary_loss: 0.013065 (0.013192) Loss: 0.68514 (0.73028) +2025-08-21,21:15:58 | INFO | Train Epoch: 3 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.73911 (0.71719) Boundary_loss: 0.013272 (0.013192) Loss: 0.75238 (0.73038) +2025-08-21,21:16:57 | INFO | Train Epoch: 3 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 0.65044 (0.71689) Boundary_loss: 0.013245 (0.013192) Loss: 0.66368 (0.73008) +2025-08-21,21:17:56 | INFO | Train Epoch: 3 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.70269 (0.71683) Boundary_loss: 0.013217 (0.013192) Loss: 0.71590 (0.73002) +2025-08-21,21:18:55 | INFO | Train Epoch: 3 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.71779 (0.71683) Boundary_loss: 0.013174 (0.013192) Loss: 0.73096 (0.73002) +2025-08-21,21:19:54 | INFO | Train Epoch: 3 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.63005 (0.71645) Boundary_loss: 0.013083 (0.013192) Loss: 0.64313 (0.72964) +2025-08-21,21:20:53 | INFO | Train Epoch: 3 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.730 Boundary Ratio: 0.101 Contrastive_loss: 0.75279 (0.71661) Boundary_loss: 0.013111 (0.013191) Loss: 0.76590 (0.72980) +2025-08-21,21:21:52 | INFO | Train Epoch: 3 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.703 Boundary Ratio: 0.101 Contrastive_loss: 0.65702 (0.71635) Boundary_loss: 0.013187 (0.013191) Loss: 0.67021 (0.72954) +2025-08-21,21:22:51 | INFO | Train Epoch: 3 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.62880 (0.71596) Boundary_loss: 0.013174 (0.013191) Loss: 0.64197 (0.72915) +2025-08-21,21:23:50 | INFO | Train Epoch: 3 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.72478 (0.71600) Boundary_loss: 0.013089 (0.013191) Loss: 0.73787 (0.72919) +2025-08-21,21:24:49 | INFO | Train Epoch: 3 [11725312/26365952 (44%)] Avg Boundaries (per batch): 18.988 Boundary Ratio: 0.097 Contrastive_loss: 0.69637 (0.71591) Boundary_loss: 0.013264 (0.013191) Loss: 0.70963 (0.72911) +2025-08-21,21:25:48 | INFO | Train Epoch: 3 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.76598 (0.71613) Boundary_loss: 0.013182 (0.013191) Loss: 0.77916 (0.72932) +2025-08-21,21:26:47 | INFO | Train Epoch: 3 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.82038 (0.71658) Boundary_loss: 0.013211 (0.013191) Loss: 0.83359 (0.72977) +2025-08-21,21:27:46 | INFO | Train Epoch: 3 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.688 Boundary Ratio: 0.100 Contrastive_loss: 0.73579 (0.71666) Boundary_loss: 0.013104 (0.013191) Loss: 0.74890 (0.72985) +2025-08-21,21:28:45 | INFO | Train Epoch: 3 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 0.67489 (0.71648) Boundary_loss: 0.013126 (0.013190) Loss: 0.68802 (0.72968) +2025-08-21,21:29:44 | INFO | Train Epoch: 3 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.79367 (0.71681) Boundary_loss: 0.013000 (0.013190) Loss: 0.80667 (0.73000) +2025-08-21,21:30:43 | INFO | Train Epoch: 3 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.70248 (0.71675) Boundary_loss: 0.013173 (0.013190) Loss: 0.71565 (0.72994) +2025-08-21,21:31:42 | INFO | Train Epoch: 3 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.69180 (0.71665) Boundary_loss: 0.013091 (0.013189) Loss: 0.70489 (0.72984) +2025-08-21,21:32:41 | INFO | Train Epoch: 3 [12134912/26365952 (46%)] Avg Boundaries (per batch): 18.793 Boundary Ratio: 0.096 Contrastive_loss: 0.76100 (0.71683) Boundary_loss: 0.013209 (0.013189) Loss: 0.77421 (0.73002) +2025-08-21,21:33:40 | INFO | Train Epoch: 3 [12186112/26365952 (46%)] Avg Boundaries (per batch): 18.832 Boundary Ratio: 0.096 Contrastive_loss: 0.82666 (0.71729) Boundary_loss: 0.013021 (0.013189) Loss: 0.83968 (0.73048) +2025-08-21,21:34:39 | INFO | Train Epoch: 3 [12237312/26365952 (46%)] Avg Boundaries (per batch): 18.863 Boundary Ratio: 0.096 Contrastive_loss: 0.64047 (0.71697) Boundary_loss: 0.013209 (0.013189) Loss: 0.65368 (0.73016) +2025-08-21,21:35:38 | INFO | Train Epoch: 3 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.52566 (0.71618) Boundary_loss: 0.013175 (0.013189) Loss: 0.53883 (0.72937) +2025-08-21,21:36:37 | INFO | Train Epoch: 3 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.66870 (0.71598) Boundary_loss: 0.013232 (0.013189) Loss: 0.68193 (0.72917) +2025-08-21,21:37:36 | INFO | Train Epoch: 3 [12390912/26365952 (47%)] Avg Boundaries (per batch): 18.711 Boundary Ratio: 0.095 Contrastive_loss: 0.77124 (0.71621) Boundary_loss: 0.013190 (0.013189) Loss: 0.78443 (0.72940) +2025-08-21,21:38:35 | INFO | Train Epoch: 3 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.65495 (0.71596) Boundary_loss: 0.013231 (0.013189) Loss: 0.66818 (0.72915) +2025-08-21,21:39:34 | INFO | Train Epoch: 3 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.67085 (0.71578) Boundary_loss: 0.013188 (0.013189) Loss: 0.68403 (0.72896) +2025-08-21,21:40:33 | INFO | Train Epoch: 3 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.70247 (0.71572) Boundary_loss: 0.013103 (0.013189) Loss: 0.71557 (0.72891) +2025-08-21,21:41:32 | INFO | Train Epoch: 3 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.57015 (0.71513) Boundary_loss: 0.013171 (0.013189) Loss: 0.58332 (0.72832) +2025-08-21,21:42:31 | INFO | Train Epoch: 3 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.63081 (0.71479) Boundary_loss: 0.013155 (0.013188) Loss: 0.64397 (0.72798) +2025-08-21,21:43:30 | INFO | Train Epoch: 3 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.64890 (0.71453) Boundary_loss: 0.013027 (0.013188) Loss: 0.66193 (0.72771) +2025-08-21,21:44:29 | INFO | Train Epoch: 3 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.67561 (0.71437) Boundary_loss: 0.013241 (0.013188) Loss: 0.68885 (0.72756) +2025-08-21,21:45:28 | INFO | Train Epoch: 3 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.58745 (0.71387) Boundary_loss: 0.013198 (0.013188) Loss: 0.60065 (0.72705) +2025-08-21,21:46:27 | INFO | Train Epoch: 3 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.75201 (0.71402) Boundary_loss: 0.013023 (0.013187) Loss: 0.76504 (0.72720) +2025-08-21,21:47:26 | INFO | Train Epoch: 3 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.61528 (0.71363) Boundary_loss: 0.013130 (0.013187) Loss: 0.62841 (0.72681) +2025-08-21,21:48:25 | INFO | Train Epoch: 3 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.76167 (0.71382) Boundary_loss: 0.013091 (0.013187) Loss: 0.77476 (0.72700) +2025-08-21,21:49:24 | INFO | Train Epoch: 3 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.61949 (0.71345) Boundary_loss: 0.013165 (0.013187) Loss: 0.63266 (0.72663) +2025-08-21,21:50:23 | INFO | Train Epoch: 3 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.71068 (0.71344) Boundary_loss: 0.013195 (0.013187) Loss: 0.72387 (0.72662) +2025-08-21,21:51:22 | INFO | Train Epoch: 3 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.66877 (0.71326) Boundary_loss: 0.013040 (0.013186) Loss: 0.68181 (0.72645) +2025-08-21,21:52:21 | INFO | Train Epoch: 3 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.67425 (0.71311) Boundary_loss: 0.013137 (0.013186) Loss: 0.68739 (0.72630) +2025-08-21,21:53:20 | INFO | Train Epoch: 3 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.64479 (0.71285) Boundary_loss: 0.013184 (0.013186) Loss: 0.65797 (0.72603) +2025-08-21,21:54:19 | INFO | Train Epoch: 3 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.63560 (0.71255) Boundary_loss: 0.013170 (0.013186) Loss: 0.64877 (0.72574) +2025-08-21,21:55:18 | INFO | Train Epoch: 3 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.77245 (0.71278) Boundary_loss: 0.013160 (0.013186) Loss: 0.78560 (0.72596) +2025-08-21,21:56:17 | INFO | Train Epoch: 3 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 0.64014 (0.71250) Boundary_loss: 0.013117 (0.013185) Loss: 0.65325 (0.72569) +2025-08-21,21:57:16 | INFO | Train Epoch: 3 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.65935 (0.71230) Boundary_loss: 0.013069 (0.013185) Loss: 0.67242 (0.72548) +2025-08-21,21:58:15 | INFO | Train Epoch: 3 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.75334 (0.71245) Boundary_loss: 0.013209 (0.013185) Loss: 0.76655 (0.72564) +2025-08-21,21:59:14 | INFO | Train Epoch: 3 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.62558 (0.71213) Boundary_loss: 0.013203 (0.013185) Loss: 0.63878 (0.72531) +2025-08-21,22:00:13 | INFO | Train Epoch: 3 [13568512/26365952 (51%)] Avg Boundaries (per batch): 18.969 Boundary Ratio: 0.097 Contrastive_loss: 0.63590 (0.71184) Boundary_loss: 0.013117 (0.013185) Loss: 0.64901 (0.72503) +2025-08-21,22:01:12 | INFO | Train Epoch: 3 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.852 Boundary Ratio: 0.101 Contrastive_loss: 0.65791 (0.71164) Boundary_loss: 0.013066 (0.013185) Loss: 0.67098 (0.72482) +2025-08-21,22:02:11 | INFO | Train Epoch: 3 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.65633 (0.71143) Boundary_loss: 0.013104 (0.013184) Loss: 0.66943 (0.72462) +2025-08-21,22:03:10 | INFO | Train Epoch: 3 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.64931 (0.71120) Boundary_loss: 0.013201 (0.013184) Loss: 0.66251 (0.72439) +2025-08-21,22:04:09 | INFO | Train Epoch: 3 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.65945 (0.71101) Boundary_loss: 0.013060 (0.013184) Loss: 0.67251 (0.72419) +2025-08-21,22:05:08 | INFO | Train Epoch: 3 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.57761 (0.71052) Boundary_loss: 0.013160 (0.013184) Loss: 0.59077 (0.72370) +2025-08-21,22:06:06 | INFO | Train Epoch: 3 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.62308 (0.71020) Boundary_loss: 0.013250 (0.013184) Loss: 0.63633 (0.72338) +2025-08-21,22:07:05 | INFO | Train Epoch: 3 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.66980 (0.71005) Boundary_loss: 0.013200 (0.013184) Loss: 0.68300 (0.72323) +2025-08-21,22:08:04 | INFO | Train Epoch: 3 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 0.56585 (0.70952) Boundary_loss: 0.013146 (0.013184) Loss: 0.57900 (0.72271) +2025-08-21,22:09:03 | INFO | Train Epoch: 3 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.70610 (0.70951) Boundary_loss: 0.013147 (0.013184) Loss: 0.71925 (0.72269) +2025-08-21,22:10:02 | INFO | Train Epoch: 3 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.57414 (0.70902) Boundary_loss: 0.013049 (0.013183) Loss: 0.58719 (0.72220) +2025-08-21,22:11:01 | INFO | Train Epoch: 3 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.70093 (0.70899) Boundary_loss: 0.013219 (0.013183) Loss: 0.71415 (0.72217) +2025-08-21,22:12:00 | INFO | Train Epoch: 3 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.54895 (0.70841) Boundary_loss: 0.013197 (0.013183) Loss: 0.56215 (0.72160) +2025-08-21,22:12:59 | INFO | Train Epoch: 3 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.72091 (0.70846) Boundary_loss: 0.013185 (0.013183) Loss: 0.73409 (0.72164) +2025-08-21,22:13:58 | INFO | Train Epoch: 3 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.76277 (0.70865) Boundary_loss: 0.013054 (0.013183) Loss: 0.77582 (0.72184) +2025-08-21,22:14:57 | INFO | Train Epoch: 3 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.69114 (0.70859) Boundary_loss: 0.013045 (0.013182) Loss: 0.70419 (0.72177) +2025-08-21,22:15:56 | INFO | Train Epoch: 3 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.70984 (0.70859) Boundary_loss: 0.013148 (0.013182) Loss: 0.72299 (0.72178) +2025-08-21,22:16:55 | INFO | Train Epoch: 3 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.67070 (0.70846) Boundary_loss: 0.013249 (0.013183) Loss: 0.68395 (0.72164) +2025-08-21,22:17:54 | INFO | Train Epoch: 3 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.62041 (0.70815) Boundary_loss: 0.013099 (0.013182) Loss: 0.63351 (0.72133) +2025-08-21,22:18:53 | INFO | Train Epoch: 3 [14541312/26365952 (55%)] Avg Boundaries (per batch): 18.990 Boundary Ratio: 0.097 Contrastive_loss: 0.78592 (0.70842) Boundary_loss: 0.013116 (0.013182) Loss: 0.79904 (0.72161) +2025-08-21,22:19:52 | INFO | Train Epoch: 3 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.71288 (0.70844) Boundary_loss: 0.013103 (0.013182) Loss: 0.72598 (0.72162) +2025-08-21,22:20:51 | INFO | Train Epoch: 3 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.63462 (0.70818) Boundary_loss: 0.013266 (0.013182) Loss: 0.64788 (0.72136) +2025-08-21,22:21:50 | INFO | Train Epoch: 3 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.71963 (0.70822) Boundary_loss: 0.013223 (0.013182) Loss: 0.73285 (0.72140) +2025-08-21,22:22:49 | INFO | Train Epoch: 3 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.62783 (0.70794) Boundary_loss: 0.013039 (0.013182) Loss: 0.64087 (0.72113) +2025-08-21,22:23:48 | INFO | Train Epoch: 3 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.60175 (0.70758) Boundary_loss: 0.013051 (0.013181) Loss: 0.61480 (0.72076) +2025-08-21,22:24:47 | INFO | Train Epoch: 3 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.70917 (0.70758) Boundary_loss: 0.013218 (0.013181) Loss: 0.72239 (0.72076) +2025-08-21,22:25:46 | INFO | Train Epoch: 3 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.66703 (0.70744) Boundary_loss: 0.013138 (0.013181) Loss: 0.68017 (0.72063) +2025-08-21,22:26:45 | INFO | Train Epoch: 3 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.801 Boundary Ratio: 0.101 Contrastive_loss: 0.53731 (0.70686) Boundary_loss: 0.013169 (0.013181) Loss: 0.55048 (0.72004) +2025-08-21,22:27:44 | INFO | Train Epoch: 3 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.61750 (0.70656) Boundary_loss: 0.013090 (0.013181) Loss: 0.63059 (0.71974) +2025-08-21,22:28:43 | INFO | Train Epoch: 3 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.60871 (0.70623) Boundary_loss: 0.013255 (0.013181) Loss: 0.62197 (0.71941) +2025-08-21,22:29:42 | INFO | Train Epoch: 3 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.79822 (0.70654) Boundary_loss: 0.013266 (0.013181) Loss: 0.81149 (0.71972) +2025-08-21,22:30:41 | INFO | Train Epoch: 3 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.66138 (0.70639) Boundary_loss: 0.013067 (0.013181) Loss: 0.67444 (0.71957) +2025-08-21,22:31:40 | INFO | Train Epoch: 3 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.68302 (0.70631) Boundary_loss: 0.013140 (0.013181) Loss: 0.69616 (0.71949) +2025-08-21,22:32:39 | INFO | Train Epoch: 3 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.68749 (0.70625) Boundary_loss: 0.013234 (0.013181) Loss: 0.70073 (0.71943) +2025-08-21,22:33:38 | INFO | Train Epoch: 3 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.65386 (0.70607) Boundary_loss: 0.013118 (0.013181) Loss: 0.66698 (0.71925) +2025-08-21,22:34:37 | INFO | Train Epoch: 3 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.69011 (0.70602) Boundary_loss: 0.013141 (0.013181) Loss: 0.70325 (0.71920) +2025-08-21,22:35:36 | INFO | Train Epoch: 3 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.63742 (0.70579) Boundary_loss: 0.013018 (0.013180) Loss: 0.65043 (0.71897) +2025-08-21,22:36:35 | INFO | Train Epoch: 3 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.66176 (0.70564) Boundary_loss: 0.013163 (0.013180) Loss: 0.67492 (0.71883) +2025-08-21,22:37:34 | INFO | Train Epoch: 3 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.73655 (0.70575) Boundary_loss: 0.013142 (0.013180) Loss: 0.74969 (0.71893) +2025-08-21,22:38:33 | INFO | Train Epoch: 3 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.64410 (0.70554) Boundary_loss: 0.013247 (0.013180) Loss: 0.65735 (0.71872) +2025-08-21,22:39:32 | INFO | Train Epoch: 3 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.68423 (0.70547) Boundary_loss: 0.013024 (0.013180) Loss: 0.69725 (0.71865) +2025-08-21,22:40:31 | INFO | Train Epoch: 3 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.73186 (0.70556) Boundary_loss: 0.013187 (0.013180) Loss: 0.74504 (0.71874) +2025-08-21,22:41:30 | INFO | Train Epoch: 3 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.64416 (0.70536) Boundary_loss: 0.013205 (0.013180) Loss: 0.65736 (0.71854) +2025-08-21,22:42:29 | INFO | Train Epoch: 3 [15770112/26365952 (60%)] Avg Boundaries (per batch): 18.922 Boundary Ratio: 0.097 Contrastive_loss: 0.66192 (0.70522) Boundary_loss: 0.013115 (0.013180) Loss: 0.67504 (0.71840) +2025-08-21,22:43:28 | INFO | Train Epoch: 3 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.60893 (0.70491) Boundary_loss: 0.013183 (0.013180) Loss: 0.62211 (0.71809) +2025-08-21,22:44:27 | INFO | Train Epoch: 3 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.68048 (0.70483) Boundary_loss: 0.013117 (0.013179) Loss: 0.69360 (0.71801) +2025-08-21,22:45:26 | INFO | Train Epoch: 3 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.70499 (0.70483) Boundary_loss: 0.013104 (0.013179) Loss: 0.71809 (0.71801) +2025-08-21,22:46:25 | INFO | Train Epoch: 3 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.596 Boundary Ratio: 0.100 Contrastive_loss: 0.61105 (0.70453) Boundary_loss: 0.013212 (0.013179) Loss: 0.62426 (0.71771) +2025-08-21,22:47:24 | INFO | Train Epoch: 3 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.63629 (0.70432) Boundary_loss: 0.013264 (0.013180) Loss: 0.64955 (0.71749) +2025-08-21,22:48:23 | INFO | Train Epoch: 3 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.64437 (0.70412) Boundary_loss: 0.013158 (0.013180) Loss: 0.65753 (0.71730) +2025-08-21,22:49:22 | INFO | Train Epoch: 3 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.57110 (0.70370) Boundary_loss: 0.013116 (0.013179) Loss: 0.58422 (0.71688) +2025-08-21,22:50:21 | INFO | Train Epoch: 3 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.78359 (0.70396) Boundary_loss: 0.013094 (0.013179) Loss: 0.79668 (0.71713) +2025-08-21,22:51:20 | INFO | Train Epoch: 3 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.59758 (0.70362) Boundary_loss: 0.013127 (0.013179) Loss: 0.61070 (0.71680) +2025-08-21,22:52:19 | INFO | Train Epoch: 3 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.70286 (0.70362) Boundary_loss: 0.013167 (0.013179) Loss: 0.71603 (0.71680) +2025-08-21,22:53:19 | INFO | Train Epoch: 3 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.66990 (0.70351) Boundary_loss: 0.013162 (0.013179) Loss: 0.68306 (0.71669) +2025-08-21,22:54:18 | INFO | Train Epoch: 3 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.66801 (0.70340) Boundary_loss: 0.013254 (0.013179) Loss: 0.68126 (0.71658) +2025-08-21,22:55:17 | INFO | Train Epoch: 3 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.67150 (0.70330) Boundary_loss: 0.013115 (0.013179) Loss: 0.68461 (0.71648) +2025-08-21,22:56:16 | INFO | Train Epoch: 3 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.73583 (0.70340) Boundary_loss: 0.013237 (0.013179) Loss: 0.74907 (0.71658) +2025-08-21,22:57:15 | INFO | Train Epoch: 3 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.62599 (0.70317) Boundary_loss: 0.013047 (0.013179) Loss: 0.63903 (0.71634) +2025-08-21,22:58:14 | INFO | Train Epoch: 3 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.66730 (0.70306) Boundary_loss: 0.013073 (0.013178) Loss: 0.68037 (0.71623) +2025-08-21,22:59:13 | INFO | Train Epoch: 3 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.80323 (0.70336) Boundary_loss: 0.013225 (0.013178) Loss: 0.81645 (0.71654) +2025-08-21,23:00:12 | INFO | Train Epoch: 3 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.590 Boundary Ratio: 0.100 Contrastive_loss: 0.64445 (0.70318) Boundary_loss: 0.013128 (0.013178) Loss: 0.65758 (0.71636) +2025-08-21,23:01:11 | INFO | Train Epoch: 3 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.59375 (0.70285) Boundary_loss: 0.013097 (0.013178) Loss: 0.60685 (0.71603) +2025-08-21,23:02:10 | INFO | Train Epoch: 3 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.65741 (0.70271) Boundary_loss: 0.013092 (0.013178) Loss: 0.67050 (0.71589) +2025-08-21,23:03:09 | INFO | Train Epoch: 3 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.65106 (0.70255) Boundary_loss: 0.013202 (0.013178) Loss: 0.66427 (0.71573) +2025-08-21,23:04:08 | INFO | Train Epoch: 3 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 0.63971 (0.70236) Boundary_loss: 0.013156 (0.013178) Loss: 0.65286 (0.71554) +2025-08-21,23:05:07 | INFO | Train Epoch: 3 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.66392 (0.70225) Boundary_loss: 0.013158 (0.013178) Loss: 0.67708 (0.71543) +2025-08-21,23:06:06 | INFO | Train Epoch: 3 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.61440 (0.70198) Boundary_loss: 0.013041 (0.013177) Loss: 0.62745 (0.71516) +2025-08-21,23:07:05 | INFO | Train Epoch: 3 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.59982 (0.70168) Boundary_loss: 0.013157 (0.013177) Loss: 0.61298 (0.71486) +2025-08-21,23:08:04 | INFO | Train Epoch: 3 [17101312/26365952 (65%)] Avg Boundaries (per batch): 18.863 Boundary Ratio: 0.096 Contrastive_loss: 0.67171 (0.70159) Boundary_loss: 0.013145 (0.013177) Loss: 0.68486 (0.71477) +2025-08-21,23:09:03 | INFO | Train Epoch: 3 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.63066 (0.70138) Boundary_loss: 0.013078 (0.013177) Loss: 0.64374 (0.71456) +2025-08-21,23:10:02 | INFO | Train Epoch: 3 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.72881 (0.70146) Boundary_loss: 0.013101 (0.013177) Loss: 0.74191 (0.71464) +2025-08-21,23:11:01 | INFO | Train Epoch: 3 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.72666 (0.70153) Boundary_loss: 0.013120 (0.013176) Loss: 0.73978 (0.71471) +2025-08-21,23:12:00 | INFO | Train Epoch: 3 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.63611 (0.70134) Boundary_loss: 0.013129 (0.013176) Loss: 0.64924 (0.71452) +2025-08-21,23:12:59 | INFO | Train Epoch: 3 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.67069 (0.70125) Boundary_loss: 0.013112 (0.013176) Loss: 0.68380 (0.71443) +2025-08-21,23:13:58 | INFO | Train Epoch: 3 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.70429 (0.70126) Boundary_loss: 0.013092 (0.013176) Loss: 0.71739 (0.71444) +2025-08-21,23:14:57 | INFO | Train Epoch: 3 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.66410 (0.70115) Boundary_loss: 0.013177 (0.013176) Loss: 0.67728 (0.71433) +2025-08-21,23:15:56 | INFO | Train Epoch: 3 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.69407 (0.70113) Boundary_loss: 0.013189 (0.013176) Loss: 0.70725 (0.71431) +2025-08-21,23:16:55 | INFO | Train Epoch: 3 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.63362 (0.70093) Boundary_loss: 0.013099 (0.013176) Loss: 0.64672 (0.71411) +2025-08-21,23:17:54 | INFO | Train Epoch: 3 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.66770 (0.70084) Boundary_loss: 0.013209 (0.013176) Loss: 0.68091 (0.71401) +2025-08-21,23:18:53 | INFO | Train Epoch: 3 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.62517 (0.70062) Boundary_loss: 0.013273 (0.013176) Loss: 0.63844 (0.71380) +2025-08-21,23:19:52 | INFO | Train Epoch: 3 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.65552 (0.70049) Boundary_loss: 0.013043 (0.013176) Loss: 0.66856 (0.71367) +2025-08-21,23:20:51 | INFO | Train Epoch: 3 [17766912/26365952 (67%)] Avg Boundaries (per batch): 18.914 Boundary Ratio: 0.097 Contrastive_loss: 0.59962 (0.70020) Boundary_loss: 0.013186 (0.013176) Loss: 0.61281 (0.71338) +2025-08-21,23:21:50 | INFO | Train Epoch: 3 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.66711 (0.70010) Boundary_loss: 0.013174 (0.013176) Loss: 0.68028 (0.71328) +2025-08-21,23:22:49 | INFO | Train Epoch: 3 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.67569 (0.70004) Boundary_loss: 0.013076 (0.013175) Loss: 0.68876 (0.71321) +2025-08-21,23:23:48 | INFO | Train Epoch: 3 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.66817 (0.69994) Boundary_loss: 0.013222 (0.013176) Loss: 0.68139 (0.71312) +2025-08-21,23:24:47 | INFO | Train Epoch: 3 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.60667 (0.69968) Boundary_loss: 0.013194 (0.013176) Loss: 0.61986 (0.71285) +2025-08-21,23:25:46 | INFO | Train Epoch: 3 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.62916 (0.69948) Boundary_loss: 0.012962 (0.013175) Loss: 0.64213 (0.71265) +2025-08-21,23:26:45 | INFO | Train Epoch: 3 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.73589 (0.69958) Boundary_loss: 0.013199 (0.013175) Loss: 0.74909 (0.71276) +2025-08-21,23:27:44 | INFO | Train Epoch: 3 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.72352 (0.69965) Boundary_loss: 0.013167 (0.013175) Loss: 0.73668 (0.71282) +2025-08-21,23:28:43 | INFO | Train Epoch: 3 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.49762 (0.69908) Boundary_loss: 0.013074 (0.013175) Loss: 0.51069 (0.71226) +2025-08-21,23:29:41 | INFO | Train Epoch: 3 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.736 Boundary Ratio: 0.101 Contrastive_loss: 0.71389 (0.69912) Boundary_loss: 0.013161 (0.013175) Loss: 0.72705 (0.71230) +2025-08-21,23:30:40 | INFO | Train Epoch: 3 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.63616 (0.69895) Boundary_loss: 0.013032 (0.013174) Loss: 0.64919 (0.71212) +2025-08-21,23:31:39 | INFO | Train Epoch: 3 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.72100 (0.69901) Boundary_loss: 0.013080 (0.013174) Loss: 0.73408 (0.71218) +2025-08-21,23:32:38 | INFO | Train Epoch: 3 [18381312/26365952 (70%)] Avg Boundaries (per batch): 18.830 Boundary Ratio: 0.096 Contrastive_loss: 0.66495 (0.69891) Boundary_loss: 0.013280 (0.013174) Loss: 0.67823 (0.71209) +2025-08-21,23:33:37 | INFO | Train Epoch: 3 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.68311 (0.69887) Boundary_loss: 0.013007 (0.013174) Loss: 0.69612 (0.71204) +2025-08-21,23:34:36 | INFO | Train Epoch: 3 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.71216 (0.69891) Boundary_loss: 0.013041 (0.013174) Loss: 0.72521 (0.71208) +2025-08-21,23:35:35 | INFO | Train Epoch: 3 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.65895 (0.69880) Boundary_loss: 0.013121 (0.013173) Loss: 0.67207 (0.71197) +2025-08-21,23:36:34 | INFO | Train Epoch: 3 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.69992 (0.69880) Boundary_loss: 0.013024 (0.013173) Loss: 0.71295 (0.71197) +2025-08-21,23:37:33 | INFO | Train Epoch: 3 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.66072 (0.69870) Boundary_loss: 0.013160 (0.013173) Loss: 0.67388 (0.71187) +2025-08-21,23:38:32 | INFO | Train Epoch: 3 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.56404 (0.69833) Boundary_loss: 0.013086 (0.013173) Loss: 0.57712 (0.71150) +2025-08-21,23:39:31 | INFO | Train Epoch: 3 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.70488 (0.69835) Boundary_loss: 0.013116 (0.013173) Loss: 0.71799 (0.71152) +2025-08-21,23:40:30 | INFO | Train Epoch: 3 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.61703 (0.69813) Boundary_loss: 0.013127 (0.013172) Loss: 0.63016 (0.71130) +2025-08-21,23:41:29 | INFO | Train Epoch: 3 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.69655 (0.69812) Boundary_loss: 0.013188 (0.013172) Loss: 0.70974 (0.71129) +2025-08-21,23:42:27 | INFO | Train Epoch: 3 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.66634 (0.69804) Boundary_loss: 0.013005 (0.013172) Loss: 0.67935 (0.71121) +2025-08-21,23:43:26 | INFO | Train Epoch: 3 [18944512/26365952 (72%)] Avg Boundaries (per batch): 18.967 Boundary Ratio: 0.097 Contrastive_loss: 0.60823 (0.69779) Boundary_loss: 0.013033 (0.013172) Loss: 0.62126 (0.71096) +2025-08-21,23:44:25 | INFO | Train Epoch: 3 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.60836 (0.69755) Boundary_loss: 0.013146 (0.013172) Loss: 0.62150 (0.71072) +2025-08-21,23:45:24 | INFO | Train Epoch: 3 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.86195 (0.69799) Boundary_loss: 0.013064 (0.013171) Loss: 0.87501 (0.71116) +2025-08-21,23:46:23 | INFO | Train Epoch: 3 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.68818 (0.69797) Boundary_loss: 0.013069 (0.013171) Loss: 0.70125 (0.71114) +2025-08-21,23:47:22 | INFO | Train Epoch: 3 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.70139 (0.69798) Boundary_loss: 0.012986 (0.013171) Loss: 0.71438 (0.71115) +2025-08-21,23:48:21 | INFO | Train Epoch: 3 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.62205 (0.69777) Boundary_loss: 0.013164 (0.013171) Loss: 0.63521 (0.71094) +2025-08-21,23:49:20 | INFO | Train Epoch: 3 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.758 Boundary Ratio: 0.101 Contrastive_loss: 0.59806 (0.69751) Boundary_loss: 0.013116 (0.013170) Loss: 0.61118 (0.71068) +2025-08-21,23:50:19 | INFO | Train Epoch: 3 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.68970 (0.69749) Boundary_loss: 0.012995 (0.013170) Loss: 0.70270 (0.71066) +2025-08-21,23:51:18 | INFO | Train Epoch: 3 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.809 Boundary Ratio: 0.101 Contrastive_loss: 0.68218 (0.69745) Boundary_loss: 0.013136 (0.013170) Loss: 0.69532 (0.71062) +2025-08-21,23:52:17 | INFO | Train Epoch: 3 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.70048 (0.69746) Boundary_loss: 0.013172 (0.013170) Loss: 0.71365 (0.71063) +2025-08-21,23:53:16 | INFO | Train Epoch: 3 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.69248 (0.69744) Boundary_loss: 0.013073 (0.013170) Loss: 0.70556 (0.71061) +2025-08-21,23:54:15 | INFO | Train Epoch: 3 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.76732 (0.69763) Boundary_loss: 0.013033 (0.013169) Loss: 0.78035 (0.71080) +2025-08-21,23:55:14 | INFO | Train Epoch: 3 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.64620 (0.69749) Boundary_loss: 0.013115 (0.013169) Loss: 0.65932 (0.71066) +2025-08-21,23:56:13 | INFO | Train Epoch: 3 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.73409 (0.69759) Boundary_loss: 0.013042 (0.013169) Loss: 0.74713 (0.71076) +2025-08-21,23:57:12 | INFO | Train Epoch: 3 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.64953 (0.69746) Boundary_loss: 0.013177 (0.013169) Loss: 0.66271 (0.71063) +2025-08-21,23:58:11 | INFO | Train Epoch: 3 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.70348 (0.69748) Boundary_loss: 0.013235 (0.013169) Loss: 0.71672 (0.71065) +2025-08-21,23:59:09 | INFO | Train Epoch: 3 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.54527 (0.69709) Boundary_loss: 0.013143 (0.013169) Loss: 0.55841 (0.71025) +2025-08-22,00:00:08 | INFO | Train Epoch: 3 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.60150 (0.69684) Boundary_loss: 0.013245 (0.013169) Loss: 0.61474 (0.71001) +2025-08-22,00:01:07 | INFO | Train Epoch: 3 [19866112/26365952 (75%)] Avg Boundaries (per batch): 18.908 Boundary Ratio: 0.096 Contrastive_loss: 0.63239 (0.69667) Boundary_loss: 0.013109 (0.013169) Loss: 0.64550 (0.70984) +2025-08-22,00:02:06 | INFO | Train Epoch: 3 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.74768 (0.69680) Boundary_loss: 0.013139 (0.013169) Loss: 0.76082 (0.70997) +2025-08-22,00:03:05 | INFO | Train Epoch: 3 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.63933 (0.69666) Boundary_loss: 0.013223 (0.013169) Loss: 0.65255 (0.70983) +2025-08-22,00:04:04 | INFO | Train Epoch: 3 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.58492 (0.69637) Boundary_loss: 0.013070 (0.013169) Loss: 0.59799 (0.70954) +2025-08-22,00:05:03 | INFO | Train Epoch: 3 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.67403 (0.69632) Boundary_loss: 0.013126 (0.013169) Loss: 0.68715 (0.70948) +2025-08-22,00:06:02 | INFO | Train Epoch: 3 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.55603 (0.69596) Boundary_loss: 0.013240 (0.013169) Loss: 0.56927 (0.70913) +2025-08-22,00:07:01 | INFO | Train Epoch: 3 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.54959 (0.69559) Boundary_loss: 0.013166 (0.013169) Loss: 0.56276 (0.70876) +2025-08-22,00:08:00 | INFO | Train Epoch: 3 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.828 Boundary Ratio: 0.101 Contrastive_loss: 0.71640 (0.69564) Boundary_loss: 0.013203 (0.013169) Loss: 0.72960 (0.70881) +2025-08-22,00:08:59 | INFO | Train Epoch: 3 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.66396 (0.69556) Boundary_loss: 0.013044 (0.013169) Loss: 0.67701 (0.70873) +2025-08-22,00:09:58 | INFO | Train Epoch: 3 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.65670 (0.69546) Boundary_loss: 0.013122 (0.013168) Loss: 0.66982 (0.70863) +2025-08-22,00:10:57 | INFO | Train Epoch: 3 [20378112/26365952 (77%)] Avg Boundaries (per batch): 18.727 Boundary Ratio: 0.096 Contrastive_loss: 0.67054 (0.69540) Boundary_loss: 0.013147 (0.013168) Loss: 0.68369 (0.70857) +2025-08-22,00:11:56 | INFO | Train Epoch: 3 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.55838 (0.69506) Boundary_loss: 0.013101 (0.013168) Loss: 0.57148 (0.70823) +2025-08-22,00:12:55 | INFO | Train Epoch: 3 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.61524 (0.69486) Boundary_loss: 0.013051 (0.013168) Loss: 0.62830 (0.70803) +2025-08-22,00:13:54 | INFO | Train Epoch: 3 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.56995 (0.69455) Boundary_loss: 0.013059 (0.013168) Loss: 0.58301 (0.70772) +2025-08-22,00:14:53 | INFO | Train Epoch: 3 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.568 Boundary Ratio: 0.100 Contrastive_loss: 0.72112 (0.69461) Boundary_loss: 0.013250 (0.013168) Loss: 0.73437 (0.70778) +2025-08-22,00:15:52 | INFO | Train Epoch: 3 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.598 Boundary Ratio: 0.100 Contrastive_loss: 0.65220 (0.69451) Boundary_loss: 0.013188 (0.013168) Loss: 0.66539 (0.70768) +2025-08-22,00:16:51 | INFO | Train Epoch: 3 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.570 Boundary Ratio: 0.100 Contrastive_loss: 0.58205 (0.69423) Boundary_loss: 0.013102 (0.013168) Loss: 0.59515 (0.70740) +2025-08-22,00:17:49 | INFO | Train Epoch: 3 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.55465 (0.69389) Boundary_loss: 0.013226 (0.013168) Loss: 0.56788 (0.70706) +2025-08-22,00:18:48 | INFO | Train Epoch: 3 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.648 Boundary Ratio: 0.100 Contrastive_loss: 0.64387 (0.69377) Boundary_loss: 0.013127 (0.013168) Loss: 0.65700 (0.70693) +2025-08-22,00:19:47 | INFO | Train Epoch: 3 [20838912/26365952 (79%)] Avg Boundaries (per batch): 18.914 Boundary Ratio: 0.097 Contrastive_loss: 0.67147 (0.69371) Boundary_loss: 0.013265 (0.013168) Loss: 0.68473 (0.70688) +2025-08-22,00:20:46 | INFO | Train Epoch: 3 [20890112/26365952 (79%)] Avg Boundaries (per batch): 18.957 Boundary Ratio: 0.097 Contrastive_loss: 0.61006 (0.69351) Boundary_loss: 0.013057 (0.013168) Loss: 0.62312 (0.70667) +2025-08-22,00:21:45 | INFO | Train Epoch: 3 [20941312/26365952 (79%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.66115 (0.69343) Boundary_loss: 0.013190 (0.013168) Loss: 0.67434 (0.70660) +2025-08-22,00:22:44 | INFO | Train Epoch: 3 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.72067 (0.69349) Boundary_loss: 0.013144 (0.013168) Loss: 0.73381 (0.70666) +2025-08-22,00:23:43 | INFO | Train Epoch: 3 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.62186 (0.69332) Boundary_loss: 0.013188 (0.013168) Loss: 0.63504 (0.70649) +2025-08-22,00:24:42 | INFO | Train Epoch: 3 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.63962 (0.69319) Boundary_loss: 0.013179 (0.013168) Loss: 0.65279 (0.70636) +2025-08-22,00:25:41 | INFO | Train Epoch: 3 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.66017 (0.69311) Boundary_loss: 0.013118 (0.013168) Loss: 0.67329 (0.70628) +2025-08-22,00:26:40 | INFO | Train Epoch: 3 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.71498 (0.69316) Boundary_loss: 0.013222 (0.013168) Loss: 0.72820 (0.70633) +2025-08-22,00:27:39 | INFO | Train Epoch: 3 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.63820 (0.69303) Boundary_loss: 0.013159 (0.013168) Loss: 0.65136 (0.70620) +2025-08-22,00:28:38 | INFO | Train Epoch: 3 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.596 Boundary Ratio: 0.100 Contrastive_loss: 0.65509 (0.69294) Boundary_loss: 0.013143 (0.013168) Loss: 0.66823 (0.70611) +2025-08-22,00:29:37 | INFO | Train Epoch: 3 [21350912/26365952 (81%)] Avg Boundaries (per batch): 18.949 Boundary Ratio: 0.097 Contrastive_loss: 0.70503 (0.69297) Boundary_loss: 0.013113 (0.013168) Loss: 0.71815 (0.70614) +2025-08-22,00:30:36 | INFO | Train Epoch: 3 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.691 Boundary Ratio: 0.100 Contrastive_loss: 0.70731 (0.69300) Boundary_loss: 0.013111 (0.013167) Loss: 0.72042 (0.70617) +2025-08-22,00:31:35 | INFO | Train Epoch: 3 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.67039 (0.69295) Boundary_loss: 0.013013 (0.013167) Loss: 0.68341 (0.70612) +2025-08-22,00:32:34 | INFO | Train Epoch: 3 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.682 Boundary Ratio: 0.100 Contrastive_loss: 0.72632 (0.69303) Boundary_loss: 0.013202 (0.013167) Loss: 0.73952 (0.70620) +2025-08-22,00:33:33 | INFO | Train Epoch: 3 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.72173 (0.69310) Boundary_loss: 0.013116 (0.013167) Loss: 0.73484 (0.70626) +2025-08-22,00:34:32 | INFO | Train Epoch: 3 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.62348 (0.69293) Boundary_loss: 0.013129 (0.013167) Loss: 0.63661 (0.70610) +2025-08-22,00:35:31 | INFO | Train Epoch: 3 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.71296 (0.69298) Boundary_loss: 0.013142 (0.013167) Loss: 0.72610 (0.70615) +2025-08-22,00:36:30 | INFO | Train Epoch: 3 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.62318 (0.69281) Boundary_loss: 0.013119 (0.013167) Loss: 0.63630 (0.70598) +2025-08-22,00:37:28 | INFO | Train Epoch: 3 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.70855 (0.69285) Boundary_loss: 0.013092 (0.013167) Loss: 0.72164 (0.70602) +2025-08-22,00:38:27 | INFO | Train Epoch: 3 [21811712/26365952 (83%)] Avg Boundaries (per batch): 18.697 Boundary Ratio: 0.095 Contrastive_loss: 0.70733 (0.69289) Boundary_loss: 0.013100 (0.013166) Loss: 0.72043 (0.70605) +2025-08-22,00:39:26 | INFO | Train Epoch: 3 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.64483 (0.69277) Boundary_loss: 0.013157 (0.013166) Loss: 0.65798 (0.70594) +2025-08-22,00:40:25 | INFO | Train Epoch: 3 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.76255 (0.69294) Boundary_loss: 0.013173 (0.013166) Loss: 0.77572 (0.70610) +2025-08-22,00:41:24 | INFO | Train Epoch: 3 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.65947 (0.69286) Boundary_loss: 0.013142 (0.013166) Loss: 0.67261 (0.70602) +2025-08-22,00:42:23 | INFO | Train Epoch: 3 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.59265 (0.69263) Boundary_loss: 0.013164 (0.013166) Loss: 0.60581 (0.70579) +2025-08-22,00:43:22 | INFO | Train Epoch: 3 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.69222 (0.69262) Boundary_loss: 0.013279 (0.013167) Loss: 0.70550 (0.70579) +2025-08-22,00:44:21 | INFO | Train Epoch: 3 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.61384 (0.69244) Boundary_loss: 0.013197 (0.013167) Loss: 0.62704 (0.70561) +2025-08-22,00:45:20 | INFO | Train Epoch: 3 [22170112/26365952 (84%)] Avg Boundaries (per batch): 18.762 Boundary Ratio: 0.096 Contrastive_loss: 0.69420 (0.69245) Boundary_loss: 0.013171 (0.013167) Loss: 0.70737 (0.70561) +2025-08-22,00:46:19 | INFO | Train Epoch: 3 [22221312/26365952 (84%)] Avg Boundaries (per batch): 18.898 Boundary Ratio: 0.096 Contrastive_loss: 0.77428 (0.69263) Boundary_loss: 0.013160 (0.013167) Loss: 0.78744 (0.70580) +2025-08-22,00:47:18 | INFO | Train Epoch: 3 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.56547 (0.69234) Boundary_loss: 0.013257 (0.013167) Loss: 0.57873 (0.70551) +2025-08-22,00:48:17 | INFO | Train Epoch: 3 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.57798 (0.69208) Boundary_loss: 0.013026 (0.013167) Loss: 0.59100 (0.70525) +2025-08-22,00:49:16 | INFO | Train Epoch: 3 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.62466 (0.69193) Boundary_loss: 0.013057 (0.013166) Loss: 0.63771 (0.70509) +2025-08-22,00:50:15 | INFO | Train Epoch: 3 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.777 Boundary Ratio: 0.101 Contrastive_loss: 0.63953 (0.69181) Boundary_loss: 0.013080 (0.013166) Loss: 0.65261 (0.70497) +2025-08-22,00:51:13 | INFO | Train Epoch: 3 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.51966 (0.69142) Boundary_loss: 0.013107 (0.013166) Loss: 0.53277 (0.70458) +2025-08-22,00:52:12 | INFO | Train Epoch: 3 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.68625 (0.69141) Boundary_loss: 0.013173 (0.013166) Loss: 0.69942 (0.70457) +2025-08-22,00:53:11 | INFO | Train Epoch: 3 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.67742 (0.69137) Boundary_loss: 0.013185 (0.013166) Loss: 0.69060 (0.70454) +2025-08-22,00:54:10 | INFO | Train Epoch: 3 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.67530 (0.69134) Boundary_loss: 0.013223 (0.013166) Loss: 0.68852 (0.70450) +2025-08-22,00:55:09 | INFO | Train Epoch: 3 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.67361 (0.69130) Boundary_loss: 0.013056 (0.013166) Loss: 0.68666 (0.70446) +2025-08-22,00:56:08 | INFO | Train Epoch: 3 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.73569 (0.69140) Boundary_loss: 0.013138 (0.013166) Loss: 0.74883 (0.70456) +2025-08-22,00:57:07 | INFO | Train Epoch: 3 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.66877 (0.69135) Boundary_loss: 0.013180 (0.013166) Loss: 0.68195 (0.70451) +2025-08-22,00:58:06 | INFO | Train Epoch: 3 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.60869 (0.69116) Boundary_loss: 0.013091 (0.013166) Loss: 0.62179 (0.70433) +2025-08-22,00:59:05 | INFO | Train Epoch: 3 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.70765 (0.69120) Boundary_loss: 0.013155 (0.013166) Loss: 0.72080 (0.70436) +2025-08-22,01:00:04 | INFO | Train Epoch: 3 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.66681 (0.69114) Boundary_loss: 0.013172 (0.013166) Loss: 0.67998 (0.70431) +2025-08-22,01:01:03 | INFO | Train Epoch: 3 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.65709 (0.69107) Boundary_loss: 0.013147 (0.013166) Loss: 0.67024 (0.70423) +2025-08-22,01:02:01 | INFO | Train Epoch: 3 [23040512/26365952 (87%)] Avg Boundaries (per batch): 18.863 Boundary Ratio: 0.096 Contrastive_loss: 0.63563 (0.69095) Boundary_loss: 0.013090 (0.013166) Loss: 0.64872 (0.70411) +2025-08-22,01:03:00 | INFO | Train Epoch: 3 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.69428 (0.69095) Boundary_loss: 0.013160 (0.013166) Loss: 0.70744 (0.70412) +2025-08-22,01:03:59 | INFO | Train Epoch: 3 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 0.66701 (0.69090) Boundary_loss: 0.013179 (0.013166) Loss: 0.68019 (0.70407) +2025-08-22,01:04:58 | INFO | Train Epoch: 3 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.58818 (0.69067) Boundary_loss: 0.013309 (0.013166) Loss: 0.60149 (0.70384) +2025-08-22,01:05:57 | INFO | Train Epoch: 3 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.75873 (0.69082) Boundary_loss: 0.013219 (0.013166) Loss: 0.77195 (0.70399) +2025-08-22,01:06:56 | INFO | Train Epoch: 3 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.63536 (0.69070) Boundary_loss: 0.013189 (0.013166) Loss: 0.64855 (0.70387) +2025-08-22,01:07:55 | INFO | Train Epoch: 3 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.70400 (0.69073) Boundary_loss: 0.013001 (0.013166) Loss: 0.71700 (0.70390) +2025-08-22,01:08:54 | INFO | Train Epoch: 3 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.74219 (0.69084) Boundary_loss: 0.013178 (0.013166) Loss: 0.75537 (0.70401) +2025-08-22,01:09:52 | INFO | Train Epoch: 3 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.63627 (0.69072) Boundary_loss: 0.013029 (0.013165) Loss: 0.64930 (0.70389) +2025-08-22,01:10:51 | INFO | Train Epoch: 3 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.70244 (0.69075) Boundary_loss: 0.013226 (0.013166) Loss: 0.71567 (0.70392) +2025-08-22,01:11:50 | INFO | Train Epoch: 3 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.52247 (0.69038) Boundary_loss: 0.013154 (0.013166) Loss: 0.53563 (0.70355) +2025-08-22,01:12:49 | INFO | Train Epoch: 3 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.58047 (0.69015) Boundary_loss: 0.013110 (0.013165) Loss: 0.59358 (0.70331) +2025-08-22,01:13:48 | INFO | Train Epoch: 3 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.602 Boundary Ratio: 0.100 Contrastive_loss: 0.66248 (0.69009) Boundary_loss: 0.013113 (0.013165) Loss: 0.67559 (0.70325) +2025-08-22,01:14:47 | INFO | Train Epoch: 3 [23706112/26365952 (90%)] Avg Boundaries (per batch): 18.932 Boundary Ratio: 0.097 Contrastive_loss: 0.68889 (0.69008) Boundary_loss: 0.013081 (0.013165) Loss: 0.70197 (0.70325) +2025-08-22,01:15:46 | INFO | Train Epoch: 3 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 0.74151 (0.69019) Boundary_loss: 0.013031 (0.013165) Loss: 0.75454 (0.70336) +2025-08-22,01:16:45 | INFO | Train Epoch: 3 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.70435 (0.69023) Boundary_loss: 0.013167 (0.013165) Loss: 0.71751 (0.70339) +2025-08-22,01:17:44 | INFO | Train Epoch: 3 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.65864 (0.69016) Boundary_loss: 0.013230 (0.013165) Loss: 0.67187 (0.70332) +2025-08-22,01:18:42 | INFO | Train Epoch: 3 [23910912/26365952 (91%)] Avg Boundaries (per batch): 18.967 Boundary Ratio: 0.097 Contrastive_loss: 0.71130 (0.69020) Boundary_loss: 0.013089 (0.013165) Loss: 0.72439 (0.70337) +2025-08-22,01:19:41 | INFO | Train Epoch: 3 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.63578 (0.69009) Boundary_loss: 0.013095 (0.013165) Loss: 0.64887 (0.70325) +2025-08-22,01:20:40 | INFO | Train Epoch: 3 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.74321 (0.69020) Boundary_loss: 0.013086 (0.013164) Loss: 0.75630 (0.70336) +2025-08-22,01:21:39 | INFO | Train Epoch: 3 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.66058 (0.69014) Boundary_loss: 0.013037 (0.013164) Loss: 0.67362 (0.70330) +2025-08-22,01:22:38 | INFO | Train Epoch: 3 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.72522 (0.69021) Boundary_loss: 0.013015 (0.013164) Loss: 0.73824 (0.70338) +2025-08-22,01:23:37 | INFO | Train Epoch: 3 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.668 Boundary Ratio: 0.100 Contrastive_loss: 0.68045 (0.69019) Boundary_loss: 0.013085 (0.013164) Loss: 0.69353 (0.70335) +2025-08-22,01:24:36 | INFO | Train Epoch: 3 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.69281 (0.69020) Boundary_loss: 0.013002 (0.013163) Loss: 0.70581 (0.70336) +2025-08-22,01:25:34 | INFO | Train Epoch: 3 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 0.68791 (0.69019) Boundary_loss: 0.013266 (0.013164) Loss: 0.70118 (0.70335) +2025-08-22,01:26:33 | INFO | Train Epoch: 3 [24320512/26365952 (92%)] Avg Boundaries (per batch): 18.914 Boundary Ratio: 0.097 Contrastive_loss: 0.68205 (0.69017) Boundary_loss: 0.013222 (0.013164) Loss: 0.69527 (0.70334) +2025-08-22,01:27:32 | INFO | Train Epoch: 3 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.65082 (0.69009) Boundary_loss: 0.013115 (0.013164) Loss: 0.66393 (0.70326) +2025-08-22,01:28:31 | INFO | Train Epoch: 3 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.55021 (0.68980) Boundary_loss: 0.013315 (0.013164) Loss: 0.56353 (0.70296) +2025-08-22,01:29:30 | INFO | Train Epoch: 3 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.64222 (0.68970) Boundary_loss: 0.013243 (0.013164) Loss: 0.65547 (0.70286) +2025-08-22,01:30:29 | INFO | Train Epoch: 3 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.60459 (0.68952) Boundary_loss: 0.013120 (0.013164) Loss: 0.61771 (0.70269) +2025-08-22,01:31:28 | INFO | Train Epoch: 3 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.57302 (0.68928) Boundary_loss: 0.013205 (0.013164) Loss: 0.58622 (0.70244) +2025-08-22,01:32:26 | INFO | Train Epoch: 3 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.59944 (0.68909) Boundary_loss: 0.013205 (0.013164) Loss: 0.61265 (0.70226) +2025-08-22,01:33:25 | INFO | Train Epoch: 3 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 0.57041 (0.68885) Boundary_loss: 0.013175 (0.013164) Loss: 0.58358 (0.70201) +2025-08-22,01:34:24 | INFO | Train Epoch: 3 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.62808 (0.68872) Boundary_loss: 0.013125 (0.013164) Loss: 0.64121 (0.70189) +2025-08-22,01:35:23 | INFO | Train Epoch: 3 [24781312/26365952 (94%)] Avg Boundaries (per batch): 18.871 Boundary Ratio: 0.096 Contrastive_loss: 0.64821 (0.68864) Boundary_loss: 0.013234 (0.013164) Loss: 0.66145 (0.70180) +2025-08-22,01:36:22 | INFO | Train Epoch: 3 [24832512/26365952 (94%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 0.63929 (0.68854) Boundary_loss: 0.013034 (0.013164) Loss: 0.65232 (0.70170) +2025-08-22,01:37:21 | INFO | Train Epoch: 3 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.65029 (0.68846) Boundary_loss: 0.013168 (0.013164) Loss: 0.66346 (0.70162) +2025-08-22,01:38:20 | INFO | Train Epoch: 3 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.55181 (0.68818) Boundary_loss: 0.013099 (0.013164) Loss: 0.56491 (0.70134) +2025-08-22,01:39:19 | INFO | Train Epoch: 3 [24986112/26365952 (95%)] Avg Boundaries (per batch): 18.834 Boundary Ratio: 0.096 Contrastive_loss: 0.77205 (0.68835) Boundary_loss: 0.013136 (0.013164) Loss: 0.78519 (0.70151) +2025-08-22,01:40:17 | INFO | Train Epoch: 3 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.66806 (0.68831) Boundary_loss: 0.013147 (0.013164) Loss: 0.68120 (0.70147) +2025-08-22,01:41:16 | INFO | Train Epoch: 3 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.59437 (0.68812) Boundary_loss: 0.013078 (0.013164) Loss: 0.60745 (0.70128) +2025-08-22,01:42:15 | INFO | Train Epoch: 3 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.61772 (0.68797) Boundary_loss: 0.013028 (0.013163) Loss: 0.63074 (0.70114) +2025-08-22,01:43:14 | INFO | Train Epoch: 3 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.65448 (0.68791) Boundary_loss: 0.013152 (0.013163) Loss: 0.66764 (0.70107) +2025-08-22,01:44:13 | INFO | Train Epoch: 3 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.63578 (0.68780) Boundary_loss: 0.013142 (0.013163) Loss: 0.64892 (0.70096) +2025-08-22,01:45:11 | INFO | Train Epoch: 3 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.62233 (0.68767) Boundary_loss: 0.013145 (0.013163) Loss: 0.63548 (0.70083) +2025-08-22,01:46:10 | INFO | Train Epoch: 3 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.73328 (0.68776) Boundary_loss: 0.013234 (0.013163) Loss: 0.74651 (0.70092) +2025-08-22,01:47:09 | INFO | Train Epoch: 3 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.67421 (0.68773) Boundary_loss: 0.013189 (0.013163) Loss: 0.68740 (0.70090) +2025-08-22,01:48:08 | INFO | Train Epoch: 3 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.59058 (0.68754) Boundary_loss: 0.013131 (0.013163) Loss: 0.60371 (0.70070) +2025-08-22,01:49:07 | INFO | Train Epoch: 3 [25498112/26365952 (97%)] Avg Boundaries (per batch): 18.938 Boundary Ratio: 0.097 Contrastive_loss: 0.53135 (0.68723) Boundary_loss: 0.013168 (0.013163) Loss: 0.54452 (0.70039) +2025-08-22,01:50:06 | INFO | Train Epoch: 3 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.70258 (0.68726) Boundary_loss: 0.013120 (0.013163) Loss: 0.71570 (0.70042) +2025-08-22,01:51:05 | INFO | Train Epoch: 3 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.75807 (0.68740) Boundary_loss: 0.013054 (0.013163) Loss: 0.77112 (0.70056) +2025-08-22,01:52:04 | INFO | Train Epoch: 3 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.60285 (0.68723) Boundary_loss: 0.013031 (0.013163) Loss: 0.61588 (0.70039) +2025-08-22,01:53:02 | INFO | Train Epoch: 3 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.74508 (0.68734) Boundary_loss: 0.013141 (0.013163) Loss: 0.75822 (0.70051) +2025-08-22,01:54:01 | INFO | Train Epoch: 3 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.55513 (0.68708) Boundary_loss: 0.013139 (0.013163) Loss: 0.56827 (0.70024) +2025-08-22,01:55:00 | INFO | Train Epoch: 3 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.62839 (0.68697) Boundary_loss: 0.013027 (0.013162) Loss: 0.64142 (0.70013) +2025-08-22,01:55:59 | INFO | Train Epoch: 3 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.65509 (0.68690) Boundary_loss: 0.013153 (0.013162) Loss: 0.66824 (0.70006) +2025-08-22,01:56:58 | INFO | Train Epoch: 3 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 0.69747 (0.68692) Boundary_loss: 0.013149 (0.013162) Loss: 0.71062 (0.70009) +2025-08-22,01:57:57 | INFO | Train Epoch: 3 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 0.65331 (0.68686) Boundary_loss: 0.013204 (0.013162) Loss: 0.66652 (0.70002) +2025-08-22,01:58:56 | INFO | Train Epoch: 3 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.50619 (0.68650) Boundary_loss: 0.013177 (0.013163) Loss: 0.51936 (0.69966) +2025-08-22,01:59:55 | INFO | Train Epoch: 3 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.63477 (0.68640) Boundary_loss: 0.013026 (0.013162) Loss: 0.64780 (0.69956) +2025-08-22,02:00:54 | INFO | Train Epoch: 3 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.66274 (0.68635) Boundary_loss: 0.013180 (0.013162) Loss: 0.67592 (0.69952) +2025-08-22,02:01:53 | INFO | Train Epoch: 3 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.60903 (0.68620) Boundary_loss: 0.013126 (0.013162) Loss: 0.62216 (0.69937) +2025-08-22,02:02:52 | INFO | Train Epoch: 3 [26214912/26365952 (99%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 0.58888 (0.68601) Boundary_loss: 0.013092 (0.013162) Loss: 0.60197 (0.69918) +2025-08-22,02:03:50 | INFO | Train Epoch: 3 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.67189 (0.68599) Boundary_loss: 0.013244 (0.013162) Loss: 0.68513 (0.69915) +2025-08-22,02:04:49 | INFO | Train Epoch: 3 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.64753 (0.68591) Boundary_loss: 0.013188 (0.013162) Loss: 0.66072 (0.69907) +2025-08-22,02:05:45 | INFO | Train Epoch: 3 [26365952/26365952 (100%)] Avg Boundaries (per batch): 18.789 Boundary Ratio: 0.096 Contrastive_loss: 0.60737 (0.68576) Boundary_loss: 0.013126 (0.013162) Loss: 0.62050 (0.69892) +2025-08-22,02:05:45 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-22,02:05:45 | INFO | [Epoch 3] Average Step Time: 0.593s | Average GPU Memory: 33.6 GB +2025-08-22,02:05:45 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-22,02:05:45 | INFO | Starting zero-shot imagenet. +2025-08-22,02:05:45 | INFO | Building zero-shot classifier +2025-08-22,02:05:54 | INFO | Using classifier +2025-08-22,02:06:39 | INFO | Finished zero-shot imagenet. +2025-08-22,02:06:39 | INFO | Eval Epoch: 4 imagenet-zeroshot-val-top1: 0.2282 imagenet-zeroshot-val-top5: 0.4656 +2025-08-22,02:06:40 | INFO | Start epoch 4 +2025-08-22,02:06:43 | INFO | Train Epoch: 4 [ 512/26365952 (0%)] Avg Boundaries (per batch): 18.887 Boundary Ratio: 0.096 Contrastive_loss: 0.40572 (0.40572) Boundary_loss: 0.013086 (0.013086) Loss: 0.41880 (0.41880) +2025-08-22,02:07:42 | INFO | Train Epoch: 4 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.63917 (0.52244) Boundary_loss: 0.013121 (0.013103) Loss: 0.65229 (0.53555) +2025-08-22,02:08:40 | INFO | Train Epoch: 4 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.50704 (0.51731) Boundary_loss: 0.013038 (0.013082) Loss: 0.52007 (0.53039) +2025-08-22,02:09:39 | INFO | Train Epoch: 4 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.703 Boundary Ratio: 0.101 Contrastive_loss: 0.61519 (0.54178) Boundary_loss: 0.013183 (0.013107) Loss: 0.62837 (0.55488) +2025-08-22,02:10:38 | INFO | Train Epoch: 4 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.55633 (0.54469) Boundary_loss: 0.013149 (0.013115) Loss: 0.56948 (0.55780) +2025-08-22,02:11:37 | INFO | Train Epoch: 4 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.53580 (0.54321) Boundary_loss: 0.013062 (0.013106) Loss: 0.54886 (0.55631) +2025-08-22,02:12:36 | INFO | Train Epoch: 4 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.70062 (0.56569) Boundary_loss: 0.013097 (0.013105) Loss: 0.71372 (0.57880) +2025-08-22,02:13:35 | INFO | Train Epoch: 4 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.63256 (0.57405) Boundary_loss: 0.013081 (0.013102) Loss: 0.64564 (0.58715) +2025-08-22,02:14:33 | INFO | Train Epoch: 4 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 18.875 Boundary Ratio: 0.096 Contrastive_loss: 0.64495 (0.58193) Boundary_loss: 0.013085 (0.013100) Loss: 0.65803 (0.59503) +2025-08-22,02:15:32 | INFO | Train Epoch: 4 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.775 Boundary Ratio: 0.101 Contrastive_loss: 0.56351 (0.58009) Boundary_loss: 0.013203 (0.013110) Loss: 0.57671 (0.59320) +2025-08-22,02:16:31 | INFO | Train Epoch: 4 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.53956 (0.57640) Boundary_loss: 0.013047 (0.013105) Loss: 0.55261 (0.58951) +2025-08-22,02:17:30 | INFO | Train Epoch: 4 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.49823 (0.56989) Boundary_loss: 0.013222 (0.013114) Loss: 0.51146 (0.58300) +2025-08-22,02:18:29 | INFO | Train Epoch: 4 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.55697 (0.56890) Boundary_loss: 0.012990 (0.013105) Loss: 0.56996 (0.58200) +2025-08-22,02:19:28 | INFO | Train Epoch: 4 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.52525 (0.56578) Boundary_loss: 0.013148 (0.013108) Loss: 0.53840 (0.57889) +2025-08-22,02:20:27 | INFO | Train Epoch: 4 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.70081 (0.57478) Boundary_loss: 0.013065 (0.013105) Loss: 0.71388 (0.58788) +2025-08-22,02:21:25 | INFO | Train Epoch: 4 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.54945 (0.57320) Boundary_loss: 0.013064 (0.013102) Loss: 0.56251 (0.58630) +2025-08-22,02:22:24 | INFO | Train Epoch: 4 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.48649 (0.56810) Boundary_loss: 0.013144 (0.013105) Loss: 0.49963 (0.58120) +2025-08-22,02:23:23 | INFO | Train Epoch: 4 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.62785 (0.57142) Boundary_loss: 0.013107 (0.013105) Loss: 0.64095 (0.58452) +2025-08-22,02:24:22 | INFO | Train Epoch: 4 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.63993 (0.57502) Boundary_loss: 0.013199 (0.013110) Loss: 0.65313 (0.58813) +2025-08-22,02:25:21 | INFO | Train Epoch: 4 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.627 Boundary Ratio: 0.100 Contrastive_loss: 0.56853 (0.57470) Boundary_loss: 0.012983 (0.013104) Loss: 0.58152 (0.58780) +2025-08-22,02:26:20 | INFO | Train Epoch: 4 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.73447 (0.58231) Boundary_loss: 0.013172 (0.013107) Loss: 0.74764 (0.59541) +2025-08-22,02:27:19 | INFO | Train Epoch: 4 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.57171 (0.58182) Boundary_loss: 0.013050 (0.013104) Loss: 0.58476 (0.59493) +2025-08-22,02:28:18 | INFO | Train Epoch: 4 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 18.986 Boundary Ratio: 0.097 Contrastive_loss: 0.69436 (0.58672) Boundary_loss: 0.013068 (0.013103) Loss: 0.70742 (0.59982) +2025-08-22,02:29:17 | INFO | Train Epoch: 4 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.64151 (0.58900) Boundary_loss: 0.013035 (0.013100) Loss: 0.65455 (0.60210) +2025-08-22,02:30:15 | INFO | Train Epoch: 4 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.713 Boundary Ratio: 0.101 Contrastive_loss: 0.56901 (0.58820) Boundary_loss: 0.013315 (0.013109) Loss: 0.58232 (0.60131) +2025-08-22,02:31:14 | INFO | Train Epoch: 4 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.60023 (0.58866) Boundary_loss: 0.013124 (0.013109) Loss: 0.61335 (0.60177) +2025-08-22,02:32:13 | INFO | Train Epoch: 4 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.62890 (0.59015) Boundary_loss: 0.013153 (0.013111) Loss: 0.64205 (0.60326) +2025-08-22,02:33:12 | INFO | Train Epoch: 4 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.55789 (0.58900) Boundary_loss: 0.013222 (0.013115) Loss: 0.57111 (0.60211) +2025-08-22,02:34:11 | INFO | Train Epoch: 4 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.59889 (0.58934) Boundary_loss: 0.013057 (0.013113) Loss: 0.61195 (0.60245) +2025-08-22,02:35:10 | INFO | Train Epoch: 4 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.65643 (0.59158) Boundary_loss: 0.013039 (0.013110) Loss: 0.66947 (0.60469) +2025-08-22,02:36:09 | INFO | Train Epoch: 4 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.63842 (0.59309) Boundary_loss: 0.013291 (0.013116) Loss: 0.65171 (0.60620) +2025-08-22,02:37:07 | INFO | Train Epoch: 4 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.45209 (0.58868) Boundary_loss: 0.013076 (0.013115) Loss: 0.46517 (0.60180) +2025-08-22,02:38:06 | INFO | Train Epoch: 4 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.50394 (0.58611) Boundary_loss: 0.013090 (0.013114) Loss: 0.51703 (0.59923) +2025-08-22,02:39:05 | INFO | Train Epoch: 4 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.72369 (0.59016) Boundary_loss: 0.013088 (0.013113) Loss: 0.73677 (0.60327) +2025-08-22,02:40:04 | INFO | Train Epoch: 4 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.61465 (0.59086) Boundary_loss: 0.013092 (0.013113) Loss: 0.62774 (0.60397) +2025-08-22,02:41:03 | INFO | Train Epoch: 4 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.53761 (0.58938) Boundary_loss: 0.012960 (0.013108) Loss: 0.55057 (0.60249) +2025-08-22,02:42:02 | INFO | Train Epoch: 4 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.53342 (0.58787) Boundary_loss: 0.013162 (0.013110) Loss: 0.54659 (0.60098) +2025-08-22,02:43:00 | INFO | Train Epoch: 4 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.62487 (0.58884) Boundary_loss: 0.013064 (0.013109) Loss: 0.63793 (0.60195) +2025-08-22,02:43:59 | INFO | Train Epoch: 4 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.58514 (0.58875) Boundary_loss: 0.013052 (0.013107) Loss: 0.59819 (0.60185) +2025-08-22,02:44:58 | INFO | Train Epoch: 4 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.58526 (0.58866) Boundary_loss: 0.013163 (0.013109) Loss: 0.59843 (0.60177) +2025-08-22,02:45:57 | INFO | Train Epoch: 4 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.69737 (0.59131) Boundary_loss: 0.013192 (0.013111) Loss: 0.71056 (0.60442) +2025-08-22,02:46:56 | INFO | Train Epoch: 4 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.55776 (0.59051) Boundary_loss: 0.013026 (0.013109) Loss: 0.57078 (0.60362) +2025-08-22,02:47:54 | INFO | Train Epoch: 4 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.826 Boundary Ratio: 0.101 Contrastive_loss: 0.55150 (0.58961) Boundary_loss: 0.013173 (0.013110) Loss: 0.56468 (0.60272) +2025-08-22,02:48:53 | INFO | Train Epoch: 4 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.60801 (0.59002) Boundary_loss: 0.013098 (0.013110) Loss: 0.62111 (0.60313) +2025-08-22,02:49:52 | INFO | Train Epoch: 4 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.45525 (0.58703) Boundary_loss: 0.013169 (0.013111) Loss: 0.46842 (0.60014) +2025-08-22,02:50:51 | INFO | Train Epoch: 4 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.64929 (0.58838) Boundary_loss: 0.013060 (0.013110) Loss: 0.66235 (0.60149) +2025-08-22,02:51:50 | INFO | Train Epoch: 4 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 18.842 Boundary Ratio: 0.096 Contrastive_loss: 0.54525 (0.58746) Boundary_loss: 0.013048 (0.013109) Loss: 0.55830 (0.60057) +2025-08-22,02:52:49 | INFO | Train Epoch: 4 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 0.73579 (0.59055) Boundary_loss: 0.013238 (0.013111) Loss: 0.74902 (0.60367) +2025-08-22,02:53:47 | INFO | Train Epoch: 4 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.57343 (0.59021) Boundary_loss: 0.013038 (0.013110) Loss: 0.58647 (0.60332) +2025-08-22,02:54:46 | INFO | Train Epoch: 4 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.57933 (0.58999) Boundary_loss: 0.013134 (0.013110) Loss: 0.59246 (0.60310) +2025-08-22,02:55:45 | INFO | Train Epoch: 4 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.60578 (0.59030) Boundary_loss: 0.013180 (0.013112) Loss: 0.61896 (0.60341) +2025-08-22,02:56:44 | INFO | Train Epoch: 4 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 18.934 Boundary Ratio: 0.097 Contrastive_loss: 0.55574 (0.58963) Boundary_loss: 0.013033 (0.013110) Loss: 0.56877 (0.60274) +2025-08-22,02:57:43 | INFO | Train Epoch: 4 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.629 Boundary Ratio: 0.100 Contrastive_loss: 0.56995 (0.58926) Boundary_loss: 0.013235 (0.013113) Loss: 0.58319 (0.60237) +2025-08-22,02:58:42 | INFO | Train Epoch: 4 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.69998 (0.59131) Boundary_loss: 0.013082 (0.013112) Loss: 0.71306 (0.60442) +2025-08-22,02:59:41 | INFO | Train Epoch: 4 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.69925 (0.59327) Boundary_loss: 0.013176 (0.013113) Loss: 0.71243 (0.60639) +2025-08-22,03:00:39 | INFO | Train Epoch: 4 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.66106 (0.59448) Boundary_loss: 0.013188 (0.013115) Loss: 0.67425 (0.60760) +2025-08-22,03:01:38 | INFO | Train Epoch: 4 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.58821 (0.59437) Boundary_loss: 0.013164 (0.013115) Loss: 0.60137 (0.60749) +2025-08-22,03:02:37 | INFO | Train Epoch: 4 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.63042 (0.59500) Boundary_loss: 0.013104 (0.013115) Loss: 0.64353 (0.60811) +2025-08-22,03:03:36 | INFO | Train Epoch: 4 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 18.980 Boundary Ratio: 0.097 Contrastive_loss: 0.54503 (0.59415) Boundary_loss: 0.013102 (0.013115) Loss: 0.55814 (0.60726) +2025-08-22,03:04:35 | INFO | Train Epoch: 4 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.59309 (0.59413) Boundary_loss: 0.013136 (0.013115) Loss: 0.60623 (0.60725) +2025-08-22,03:05:34 | INFO | Train Epoch: 4 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.62290 (0.59460) Boundary_loss: 0.013010 (0.013114) Loss: 0.63591 (0.60772) +2025-08-22,03:06:33 | INFO | Train Epoch: 4 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.56568 (0.59414) Boundary_loss: 0.013108 (0.013114) Loss: 0.57879 (0.60725) +2025-08-22,03:07:32 | INFO | Train Epoch: 4 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.51003 (0.59280) Boundary_loss: 0.013241 (0.013116) Loss: 0.52327 (0.60592) +2025-08-22,03:08:31 | INFO | Train Epoch: 4 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 18.926 Boundary Ratio: 0.097 Contrastive_loss: 0.61414 (0.59314) Boundary_loss: 0.013154 (0.013116) Loss: 0.62730 (0.60625) +2025-08-22,03:09:30 | INFO | Train Epoch: 4 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.54594 (0.59241) Boundary_loss: 0.013163 (0.013117) Loss: 0.55911 (0.60553) +2025-08-22,03:10:28 | INFO | Train Epoch: 4 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.56484 (0.59199) Boundary_loss: 0.013072 (0.013116) Loss: 0.57792 (0.60511) +2025-08-22,03:11:27 | INFO | Train Epoch: 4 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 18.805 Boundary Ratio: 0.096 Contrastive_loss: 0.57003 (0.59166) Boundary_loss: 0.013114 (0.013116) Loss: 0.58314 (0.60478) +2025-08-22,03:12:26 | INFO | Train Epoch: 4 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.71220 (0.59344) Boundary_loss: 0.013076 (0.013116) Loss: 0.72527 (0.60655) +2025-08-22,03:13:25 | INFO | Train Epoch: 4 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.61378 (0.59373) Boundary_loss: 0.013253 (0.013118) Loss: 0.62703 (0.60685) +2025-08-22,03:14:24 | INFO | Train Epoch: 4 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.68299 (0.59501) Boundary_loss: 0.013178 (0.013118) Loss: 0.69616 (0.60812) +2025-08-22,03:15:23 | INFO | Train Epoch: 4 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.65987 (0.59592) Boundary_loss: 0.013080 (0.013118) Loss: 0.67295 (0.60904) +2025-08-22,03:16:22 | INFO | Train Epoch: 4 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.57949 (0.59569) Boundary_loss: 0.013189 (0.013119) Loss: 0.59268 (0.60881) +2025-08-22,03:17:21 | INFO | Train Epoch: 4 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.57797 (0.59545) Boundary_loss: 0.013027 (0.013118) Loss: 0.59100 (0.60857) +2025-08-22,03:18:20 | INFO | Train Epoch: 4 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.52334 (0.59447) Boundary_loss: 0.013134 (0.013118) Loss: 0.53648 (0.60759) +2025-08-22,03:19:19 | INFO | Train Epoch: 4 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 0.47152 (0.59284) Boundary_loss: 0.013160 (0.013118) Loss: 0.48468 (0.60595) +2025-08-22,03:20:17 | INFO | Train Epoch: 4 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.51167 (0.59177) Boundary_loss: 0.013214 (0.013120) Loss: 0.52488 (0.60489) +2025-08-22,03:21:16 | INFO | Train Epoch: 4 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.65866 (0.59264) Boundary_loss: 0.013045 (0.013119) Loss: 0.67171 (0.60575) +2025-08-22,03:22:15 | INFO | Train Epoch: 4 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.61346 (0.59290) Boundary_loss: 0.013105 (0.013119) Loss: 0.62656 (0.60602) +2025-08-22,03:23:14 | INFO | Train Epoch: 4 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.555 Boundary Ratio: 0.100 Contrastive_loss: 0.66308 (0.59379) Boundary_loss: 0.013078 (0.013118) Loss: 0.67615 (0.60691) +2025-08-22,03:24:13 | INFO | Train Epoch: 4 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.50877 (0.59273) Boundary_loss: 0.013132 (0.013118) Loss: 0.52191 (0.60585) +2025-08-22,03:25:12 | INFO | Train Epoch: 4 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.54756 (0.59217) Boundary_loss: 0.013024 (0.013117) Loss: 0.56059 (0.60529) +2025-08-22,03:26:11 | INFO | Train Epoch: 4 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.707 Boundary Ratio: 0.101 Contrastive_loss: 0.58875 (0.59213) Boundary_loss: 0.013276 (0.013119) Loss: 0.60203 (0.60525) +2025-08-22,03:27:10 | INFO | Train Epoch: 4 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.48453 (0.59083) Boundary_loss: 0.013181 (0.013120) Loss: 0.49771 (0.60395) +2025-08-22,03:28:09 | INFO | Train Epoch: 4 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.52288 (0.59002) Boundary_loss: 0.013033 (0.013119) Loss: 0.53591 (0.60314) +2025-08-22,03:29:08 | INFO | Train Epoch: 4 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.54981 (0.58955) Boundary_loss: 0.013126 (0.013119) Loss: 0.56293 (0.60267) +2025-08-22,03:30:06 | INFO | Train Epoch: 4 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.62989 (0.59002) Boundary_loss: 0.013146 (0.013119) Loss: 0.64303 (0.60314) +2025-08-22,03:31:05 | INFO | Train Epoch: 4 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.50104 (0.58900) Boundary_loss: 0.013090 (0.013119) Loss: 0.51413 (0.60212) +2025-08-22,03:32:04 | INFO | Train Epoch: 4 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.54852 (0.58854) Boundary_loss: 0.013106 (0.013119) Loss: 0.56163 (0.60166) +2025-08-22,03:33:03 | INFO | Train Epoch: 4 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.63900 (0.58910) Boundary_loss: 0.013041 (0.013118) Loss: 0.65204 (0.60222) +2025-08-22,03:34:02 | INFO | Train Epoch: 4 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.54402 (0.58860) Boundary_loss: 0.013103 (0.013118) Loss: 0.55713 (0.60172) +2025-08-22,03:35:01 | INFO | Train Epoch: 4 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.60405 (0.58877) Boundary_loss: 0.013178 (0.013118) Loss: 0.61723 (0.60189) +2025-08-22,03:36:00 | INFO | Train Epoch: 4 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.61392 (0.58905) Boundary_loss: 0.013139 (0.013118) Loss: 0.62706 (0.60216) +2025-08-22,03:36:59 | INFO | Train Epoch: 4 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.701 Boundary Ratio: 0.101 Contrastive_loss: 0.57274 (0.58887) Boundary_loss: 0.013196 (0.013119) Loss: 0.58593 (0.60199) +2025-08-22,03:37:57 | INFO | Train Epoch: 4 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.64437 (0.58946) Boundary_loss: 0.013121 (0.013119) Loss: 0.65749 (0.60258) +2025-08-22,03:38:56 | INFO | Train Epoch: 4 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.66463 (0.59025) Boundary_loss: 0.012998 (0.013118) Loss: 0.67762 (0.60337) +2025-08-22,03:39:55 | INFO | Train Epoch: 4 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.51950 (0.58952) Boundary_loss: 0.013135 (0.013118) Loss: 0.53264 (0.60263) +2025-08-22,03:40:54 | INFO | Train Epoch: 4 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.68893 (0.59054) Boundary_loss: 0.013006 (0.013117) Loss: 0.70193 (0.60366) +2025-08-22,03:41:53 | INFO | Train Epoch: 4 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.58007 (0.59043) Boundary_loss: 0.013120 (0.013117) Loss: 0.59319 (0.60355) +2025-08-22,03:42:52 | INFO | Train Epoch: 4 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.45352 (0.58905) Boundary_loss: 0.013188 (0.013118) Loss: 0.46671 (0.60217) +2025-08-22,03:43:51 | INFO | Train Epoch: 4 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 0.55983 (0.58876) Boundary_loss: 0.013104 (0.013118) Loss: 0.57293 (0.60188) +2025-08-22,03:44:49 | INFO | Train Epoch: 4 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.67305 (0.58959) Boundary_loss: 0.013116 (0.013118) Loss: 0.68616 (0.60271) +2025-08-22,03:45:48 | INFO | Train Epoch: 4 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.63713 (0.59006) Boundary_loss: 0.013013 (0.013117) Loss: 0.65014 (0.60318) +2025-08-22,03:46:47 | INFO | Train Epoch: 4 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.44455 (0.58865) Boundary_loss: 0.013059 (0.013116) Loss: 0.45761 (0.60176) +2025-08-22,03:47:46 | INFO | Train Epoch: 4 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.57673 (0.58853) Boundary_loss: 0.013074 (0.013116) Loss: 0.58980 (0.60165) +2025-08-22,03:48:45 | INFO | Train Epoch: 4 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.51765 (0.58786) Boundary_loss: 0.013100 (0.013116) Loss: 0.53075 (0.60097) +2025-08-22,03:49:44 | INFO | Train Epoch: 4 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.57975 (0.58778) Boundary_loss: 0.013090 (0.013115) Loss: 0.59284 (0.60090) +2025-08-22,03:50:43 | INFO | Train Epoch: 4 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.51213 (0.58707) Boundary_loss: 0.013002 (0.013114) Loss: 0.52513 (0.60019) +2025-08-22,03:51:42 | INFO | Train Epoch: 4 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.52071 (0.58646) Boundary_loss: 0.012988 (0.013113) Loss: 0.53369 (0.59957) +2025-08-22,03:52:41 | INFO | Train Epoch: 4 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.641 Boundary Ratio: 0.100 Contrastive_loss: 0.56512 (0.58626) Boundary_loss: 0.013181 (0.013114) Loss: 0.57830 (0.59938) +2025-08-22,03:53:40 | INFO | Train Epoch: 4 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 18.984 Boundary Ratio: 0.097 Contrastive_loss: 0.64810 (0.58682) Boundary_loss: 0.013058 (0.013113) Loss: 0.66116 (0.59994) +2025-08-22,03:54:38 | INFO | Train Epoch: 4 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.50650 (0.58610) Boundary_loss: 0.013038 (0.013112) Loss: 0.51954 (0.59921) +2025-08-22,03:55:37 | INFO | Train Epoch: 4 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 18.965 Boundary Ratio: 0.097 Contrastive_loss: 0.63042 (0.58650) Boundary_loss: 0.013144 (0.013113) Loss: 0.64356 (0.59961) +2025-08-22,03:56:36 | INFO | Train Epoch: 4 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.48634 (0.58561) Boundary_loss: 0.013171 (0.013113) Loss: 0.49951 (0.59872) +2025-08-22,03:57:35 | INFO | Train Epoch: 4 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.658 Boundary Ratio: 0.100 Contrastive_loss: 0.59031 (0.58565) Boundary_loss: 0.013189 (0.013114) Loss: 0.60349 (0.59877) +2025-08-22,03:58:34 | INFO | Train Epoch: 4 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.54949 (0.58534) Boundary_loss: 0.013159 (0.013114) Loss: 0.56265 (0.59845) +2025-08-22,03:59:33 | INFO | Train Epoch: 4 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.51414 (0.58472) Boundary_loss: 0.013064 (0.013114) Loss: 0.52720 (0.59784) +2025-08-22,04:00:32 | INFO | Train Epoch: 4 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.64998 (0.58528) Boundary_loss: 0.013096 (0.013114) Loss: 0.66308 (0.59839) +2025-08-22,04:01:31 | INFO | Train Epoch: 4 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.62616 (0.58563) Boundary_loss: 0.013238 (0.013115) Loss: 0.63940 (0.59874) +2025-08-22,04:02:30 | INFO | Train Epoch: 4 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.52803 (0.58514) Boundary_loss: 0.013003 (0.013114) Loss: 0.54103 (0.59826) +2025-08-22,04:03:28 | INFO | Train Epoch: 4 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.68734 (0.58600) Boundary_loss: 0.013016 (0.013113) Loss: 0.70036 (0.59911) +2025-08-22,04:04:27 | INFO | Train Epoch: 4 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.52847 (0.58552) Boundary_loss: 0.013116 (0.013113) Loss: 0.54159 (0.59863) +2025-08-22,04:05:26 | INFO | Train Epoch: 4 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.57730 (0.58545) Boundary_loss: 0.013137 (0.013113) Loss: 0.59044 (0.59857) +2025-08-22,04:06:25 | INFO | Train Epoch: 4 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.63512 (0.58586) Boundary_loss: 0.013130 (0.013113) Loss: 0.64825 (0.59897) +2025-08-22,04:07:24 | INFO | Train Epoch: 4 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.65103 (0.58638) Boundary_loss: 0.012974 (0.013112) Loss: 0.66400 (0.59949) +2025-08-22,04:08:23 | INFO | Train Epoch: 4 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.62195 (0.58667) Boundary_loss: 0.013093 (0.013112) Loss: 0.63505 (0.59978) +2025-08-22,04:09:22 | INFO | Train Epoch: 4 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.56764 (0.58652) Boundary_loss: 0.013115 (0.013112) Loss: 0.58076 (0.59963) +2025-08-22,04:10:21 | INFO | Train Epoch: 4 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.56108 (0.58632) Boundary_loss: 0.013146 (0.013112) Loss: 0.57422 (0.59943) +2025-08-22,04:11:19 | INFO | Train Epoch: 4 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.65094 (0.58682) Boundary_loss: 0.013097 (0.013112) Loss: 0.66403 (0.59993) +2025-08-22,04:12:18 | INFO | Train Epoch: 4 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 18.975 Boundary Ratio: 0.097 Contrastive_loss: 0.58709 (0.58682) Boundary_loss: 0.013138 (0.013113) Loss: 0.60023 (0.59993) +2025-08-22,04:13:17 | INFO | Train Epoch: 4 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.611 Boundary Ratio: 0.100 Contrastive_loss: 0.64493 (0.58727) Boundary_loss: 0.013125 (0.013113) Loss: 0.65806 (0.60038) +2025-08-22,04:14:16 | INFO | Train Epoch: 4 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.59167 (0.58730) Boundary_loss: 0.013104 (0.013113) Loss: 0.60477 (0.60042) +2025-08-22,04:15:15 | INFO | Train Epoch: 4 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.66932 (0.58792) Boundary_loss: 0.013190 (0.013113) Loss: 0.68251 (0.60104) +2025-08-22,04:16:14 | INFO | Train Epoch: 4 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.51996 (0.58741) Boundary_loss: 0.013050 (0.013113) Loss: 0.53301 (0.60053) +2025-08-22,04:17:13 | INFO | Train Epoch: 4 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.49309 (0.58671) Boundary_loss: 0.013108 (0.013113) Loss: 0.50619 (0.59982) +2025-08-22,04:18:12 | INFO | Train Epoch: 4 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.59922 (0.58680) Boundary_loss: 0.013171 (0.013113) Loss: 0.61239 (0.59991) +2025-08-22,04:19:11 | INFO | Train Epoch: 4 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.62306 (0.58707) Boundary_loss: 0.013107 (0.013113) Loss: 0.63617 (0.60018) +2025-08-22,04:20:10 | INFO | Train Epoch: 4 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.55530 (0.58684) Boundary_loss: 0.012926 (0.013112) Loss: 0.56822 (0.59995) +2025-08-22,04:21:09 | INFO | Train Epoch: 4 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.59163 (0.58687) Boundary_loss: 0.013033 (0.013111) Loss: 0.60466 (0.59998) +2025-08-22,04:22:07 | INFO | Train Epoch: 4 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.61311 (0.58706) Boundary_loss: 0.013192 (0.013112) Loss: 0.62630 (0.60017) +2025-08-22,04:23:06 | INFO | Train Epoch: 4 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.53545 (0.58669) Boundary_loss: 0.013032 (0.013111) Loss: 0.54848 (0.59980) +2025-08-22,04:24:05 | INFO | Train Epoch: 4 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.49595 (0.58605) Boundary_loss: 0.013078 (0.013111) Loss: 0.50903 (0.59916) +2025-08-22,04:25:04 | INFO | Train Epoch: 4 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.62920 (0.58635) Boundary_loss: 0.013112 (0.013111) Loss: 0.64232 (0.59946) +2025-08-22,04:26:03 | INFO | Train Epoch: 4 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.56064 (0.58617) Boundary_loss: 0.013114 (0.013111) Loss: 0.57376 (0.59928) +2025-08-22,04:27:02 | INFO | Train Epoch: 4 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.55236 (0.58594) Boundary_loss: 0.013129 (0.013111) Loss: 0.56549 (0.59905) +2025-08-22,04:28:01 | INFO | Train Epoch: 4 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.64282 (0.58633) Boundary_loss: 0.012966 (0.013110) Loss: 0.65578 (0.59944) +2025-08-22,04:29:00 | INFO | Train Epoch: 4 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.51063 (0.58581) Boundary_loss: 0.012999 (0.013109) Loss: 0.52363 (0.59892) +2025-08-22,04:29:58 | INFO | Train Epoch: 4 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.60161 (0.58592) Boundary_loss: 0.013041 (0.013109) Loss: 0.61465 (0.59903) +2025-08-22,04:30:57 | INFO | Train Epoch: 4 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.71780 (0.58681) Boundary_loss: 0.013193 (0.013109) Loss: 0.73099 (0.59992) +2025-08-22,04:31:56 | INFO | Train Epoch: 4 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.56087 (0.58664) Boundary_loss: 0.013053 (0.013109) Loss: 0.57392 (0.59974) +2025-08-22,04:32:55 | INFO | Train Epoch: 4 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.70873 (0.58745) Boundary_loss: 0.013185 (0.013109) Loss: 0.72191 (0.60056) +2025-08-22,04:33:54 | INFO | Train Epoch: 4 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.54964 (0.58720) Boundary_loss: 0.013135 (0.013110) Loss: 0.56277 (0.60031) +2025-08-22,04:34:53 | INFO | Train Epoch: 4 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.59011 (0.58722) Boundary_loss: 0.013053 (0.013109) Loss: 0.60316 (0.60033) +2025-08-22,04:35:52 | INFO | Train Epoch: 4 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.56367 (0.58706) Boundary_loss: 0.013131 (0.013109) Loss: 0.57680 (0.60017) +2025-08-22,04:36:51 | INFO | Train Epoch: 4 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.63190 (0.58736) Boundary_loss: 0.013146 (0.013110) Loss: 0.64505 (0.60046) +2025-08-22,04:37:50 | INFO | Train Epoch: 4 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 0.48776 (0.58671) Boundary_loss: 0.013120 (0.013110) Loss: 0.50088 (0.59982) +2025-08-22,04:38:49 | INFO | Train Epoch: 4 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 18.990 Boundary Ratio: 0.097 Contrastive_loss: 0.64244 (0.58707) Boundary_loss: 0.013102 (0.013110) Loss: 0.65554 (0.60018) +2025-08-22,04:39:48 | INFO | Train Epoch: 4 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.57268 (0.58698) Boundary_loss: 0.013039 (0.013109) Loss: 0.58572 (0.60009) +2025-08-22,04:40:47 | INFO | Train Epoch: 4 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.56915 (0.58687) Boundary_loss: 0.013063 (0.013109) Loss: 0.58221 (0.59997) +2025-08-22,04:41:46 | INFO | Train Epoch: 4 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.54792 (0.58662) Boundary_loss: 0.013135 (0.013109) Loss: 0.56106 (0.59973) +2025-08-22,04:42:44 | INFO | Train Epoch: 4 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.701 Boundary Ratio: 0.101 Contrastive_loss: 0.51986 (0.58620) Boundary_loss: 0.013035 (0.013109) Loss: 0.53290 (0.59931) +2025-08-22,04:43:43 | INFO | Train Epoch: 4 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 18.936 Boundary Ratio: 0.097 Contrastive_loss: 0.54419 (0.58594) Boundary_loss: 0.013161 (0.013109) Loss: 0.55735 (0.59905) +2025-08-22,04:44:42 | INFO | Train Epoch: 4 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.60155 (0.58604) Boundary_loss: 0.013099 (0.013109) Loss: 0.61465 (0.59915) +2025-08-22,04:45:41 | INFO | Train Epoch: 4 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.65361 (0.58645) Boundary_loss: 0.013119 (0.013109) Loss: 0.66673 (0.59956) +2025-08-22,04:46:40 | INFO | Train Epoch: 4 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.557 Boundary Ratio: 0.100 Contrastive_loss: 0.60246 (0.58655) Boundary_loss: 0.013065 (0.013109) Loss: 0.61552 (0.59966) +2025-08-22,04:47:39 | INFO | Train Epoch: 4 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 18.961 Boundary Ratio: 0.097 Contrastive_loss: 0.62875 (0.58681) Boundary_loss: 0.012954 (0.013108) Loss: 0.64171 (0.59991) +2025-08-22,04:48:38 | INFO | Train Epoch: 4 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.64986 (0.58719) Boundary_loss: 0.012946 (0.013107) Loss: 0.66281 (0.60029) +2025-08-22,04:49:37 | INFO | Train Epoch: 4 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.49866 (0.58666) Boundary_loss: 0.013062 (0.013107) Loss: 0.51172 (0.59976) +2025-08-22,04:50:36 | INFO | Train Epoch: 4 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.56835 (0.58655) Boundary_loss: 0.013181 (0.013107) Loss: 0.58153 (0.59965) +2025-08-22,04:51:35 | INFO | Train Epoch: 4 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.56728 (0.58643) Boundary_loss: 0.013151 (0.013107) Loss: 0.58043 (0.59954) +2025-08-22,04:52:34 | INFO | Train Epoch: 4 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.64489 (0.58678) Boundary_loss: 0.013152 (0.013107) Loss: 0.65804 (0.59988) +2025-08-22,04:53:33 | INFO | Train Epoch: 4 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 0.42430 (0.58583) Boundary_loss: 0.013054 (0.013107) Loss: 0.43735 (0.59893) +2025-08-22,04:54:32 | INFO | Train Epoch: 4 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.49091 (0.58528) Boundary_loss: 0.013157 (0.013107) Loss: 0.50407 (0.59838) +2025-08-22,04:55:30 | INFO | Train Epoch: 4 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.744 Boundary Ratio: 0.101 Contrastive_loss: 0.54316 (0.58503) Boundary_loss: 0.013070 (0.013107) Loss: 0.55623 (0.59814) +2025-08-22,04:56:29 | INFO | Train Epoch: 4 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.58717 (0.58504) Boundary_loss: 0.013105 (0.013107) Loss: 0.60027 (0.59815) +2025-08-22,04:57:28 | INFO | Train Epoch: 4 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.62648 (0.58528) Boundary_loss: 0.013131 (0.013107) Loss: 0.63961 (0.59839) +2025-08-22,04:58:27 | INFO | Train Epoch: 4 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.43231 (0.58441) Boundary_loss: 0.013035 (0.013107) Loss: 0.44535 (0.59752) +2025-08-22,04:59:26 | INFO | Train Epoch: 4 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.49243 (0.58389) Boundary_loss: 0.013067 (0.013107) Loss: 0.50550 (0.59700) +2025-08-22,05:00:25 | INFO | Train Epoch: 4 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 0.54570 (0.58368) Boundary_loss: 0.013076 (0.013107) Loss: 0.55878 (0.59678) +2025-08-22,05:01:24 | INFO | Train Epoch: 4 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.598 Boundary Ratio: 0.100 Contrastive_loss: 0.55336 (0.58351) Boundary_loss: 0.013275 (0.013107) Loss: 0.56663 (0.59662) +2025-08-22,05:02:23 | INFO | Train Epoch: 4 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.50101 (0.58305) Boundary_loss: 0.013182 (0.013108) Loss: 0.51419 (0.59616) +2025-08-22,05:03:22 | INFO | Train Epoch: 4 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.54281 (0.58283) Boundary_loss: 0.013028 (0.013107) Loss: 0.55583 (0.59593) +2025-08-22,05:04:21 | INFO | Train Epoch: 4 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.58432 (0.58284) Boundary_loss: 0.013117 (0.013108) Loss: 0.59743 (0.59594) +2025-08-22,05:05:20 | INFO | Train Epoch: 4 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.46522 (0.58219) Boundary_loss: 0.013149 (0.013108) Loss: 0.47837 (0.59530) +2025-08-22,05:06:19 | INFO | Train Epoch: 4 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.58130 (0.58219) Boundary_loss: 0.013118 (0.013108) Loss: 0.59442 (0.59530) +2025-08-22,05:07:17 | INFO | Train Epoch: 4 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.64377 (0.58252) Boundary_loss: 0.013161 (0.013108) Loss: 0.65693 (0.59563) +2025-08-22,05:08:16 | INFO | Train Epoch: 4 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.56256 (0.58241) Boundary_loss: 0.013037 (0.013108) Loss: 0.57560 (0.59552) +2025-08-22,05:09:15 | INFO | Train Epoch: 4 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.46085 (0.58176) Boundary_loss: 0.013147 (0.013108) Loss: 0.47400 (0.59487) +2025-08-22,05:10:14 | INFO | Train Epoch: 4 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.53269 (0.58150) Boundary_loss: 0.013111 (0.013108) Loss: 0.54580 (0.59461) +2025-08-22,05:11:13 | INFO | Train Epoch: 4 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.58835 (0.58154) Boundary_loss: 0.012988 (0.013107) Loss: 0.60134 (0.59465) +2025-08-22,05:12:12 | INFO | Train Epoch: 4 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.633 Boundary Ratio: 0.100 Contrastive_loss: 0.50204 (0.58112) Boundary_loss: 0.013076 (0.013107) Loss: 0.51512 (0.59423) +2025-08-22,05:13:11 | INFO | Train Epoch: 4 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.590 Boundary Ratio: 0.100 Contrastive_loss: 0.54865 (0.58095) Boundary_loss: 0.013139 (0.013107) Loss: 0.56179 (0.59406) +2025-08-22,05:14:09 | INFO | Train Epoch: 4 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.51198 (0.58059) Boundary_loss: 0.012992 (0.013107) Loss: 0.52497 (0.59370) +2025-08-22,05:15:08 | INFO | Train Epoch: 4 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 18.914 Boundary Ratio: 0.097 Contrastive_loss: 0.54666 (0.58042) Boundary_loss: 0.012974 (0.013106) Loss: 0.55963 (0.59352) +2025-08-22,05:16:07 | INFO | Train Epoch: 4 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.51973 (0.58010) Boundary_loss: 0.013090 (0.013106) Loss: 0.53282 (0.59321) +2025-08-22,05:17:06 | INFO | Train Epoch: 4 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.57088 (0.58006) Boundary_loss: 0.013107 (0.013106) Loss: 0.58399 (0.59316) +2025-08-22,05:18:05 | INFO | Train Epoch: 4 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.58739 (0.58009) Boundary_loss: 0.013119 (0.013106) Loss: 0.60051 (0.59320) +2025-08-22,05:19:04 | INFO | Train Epoch: 4 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.53984 (0.57989) Boundary_loss: 0.013194 (0.013106) Loss: 0.55303 (0.59299) +2025-08-22,05:20:03 | INFO | Train Epoch: 4 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.65465 (0.58027) Boundary_loss: 0.013079 (0.013106) Loss: 0.66773 (0.59337) +2025-08-22,05:21:02 | INFO | Train Epoch: 4 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.592 Boundary Ratio: 0.100 Contrastive_loss: 0.61125 (0.58042) Boundary_loss: 0.013150 (0.013107) Loss: 0.62440 (0.59353) +2025-08-22,05:22:01 | INFO | Train Epoch: 4 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.64832 (0.58076) Boundary_loss: 0.013068 (0.013106) Loss: 0.66139 (0.59387) +2025-08-22,05:23:00 | INFO | Train Epoch: 4 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.44665 (0.58009) Boundary_loss: 0.013134 (0.013106) Loss: 0.45979 (0.59320) +2025-08-22,05:23:59 | INFO | Train Epoch: 4 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.47899 (0.57959) Boundary_loss: 0.013095 (0.013106) Loss: 0.49209 (0.59270) +2025-08-22,05:24:58 | INFO | Train Epoch: 4 [10342912/26365952 (39%)] Avg Boundaries (per batch): 18.904 Boundary Ratio: 0.096 Contrastive_loss: 0.58710 (0.57963) Boundary_loss: 0.013184 (0.013107) Loss: 0.60028 (0.59274) +2025-08-22,05:25:56 | INFO | Train Epoch: 4 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.752 Boundary Ratio: 0.101 Contrastive_loss: 0.46443 (0.57907) Boundary_loss: 0.013171 (0.013107) Loss: 0.47760 (0.59217) +2025-08-22,05:26:55 | INFO | Train Epoch: 4 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.699 Boundary Ratio: 0.101 Contrastive_loss: 0.47917 (0.57858) Boundary_loss: 0.013063 (0.013107) Loss: 0.49223 (0.59169) +2025-08-22,05:27:54 | INFO | Train Epoch: 4 [10496512/26365952 (40%)] Avg Boundaries (per batch): 18.957 Boundary Ratio: 0.097 Contrastive_loss: 0.60073 (0.57869) Boundary_loss: 0.013005 (0.013106) Loss: 0.61373 (0.59179) +2025-08-22,05:28:53 | INFO | Train Epoch: 4 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.670 Boundary Ratio: 0.100 Contrastive_loss: 0.55088 (0.57855) Boundary_loss: 0.013151 (0.013107) Loss: 0.56403 (0.59166) +2025-08-22,05:29:52 | INFO | Train Epoch: 4 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.701 Boundary Ratio: 0.101 Contrastive_loss: 0.61069 (0.57871) Boundary_loss: 0.013176 (0.013107) Loss: 0.62387 (0.59181) +2025-08-22,05:30:51 | INFO | Train Epoch: 4 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.682 Boundary Ratio: 0.100 Contrastive_loss: 0.51154 (0.57838) Boundary_loss: 0.013123 (0.013107) Loss: 0.52466 (0.59149) +2025-08-22,05:31:50 | INFO | Train Epoch: 4 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.54155 (0.57821) Boundary_loss: 0.013119 (0.013107) Loss: 0.55467 (0.59132) +2025-08-22,05:32:49 | INFO | Train Epoch: 4 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.54769 (0.57806) Boundary_loss: 0.013053 (0.013107) Loss: 0.56075 (0.59117) +2025-08-22,05:33:48 | INFO | Train Epoch: 4 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.54518 (0.57791) Boundary_loss: 0.013080 (0.013107) Loss: 0.55826 (0.59102) +2025-08-22,05:34:47 | INFO | Train Epoch: 4 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.54270 (0.57774) Boundary_loss: 0.013083 (0.013107) Loss: 0.55579 (0.59085) +2025-08-22,05:35:46 | INFO | Train Epoch: 4 [10906112/26365952 (41%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 0.62174 (0.57795) Boundary_loss: 0.012997 (0.013106) Loss: 0.63474 (0.59106) +2025-08-22,05:36:44 | INFO | Train Epoch: 4 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.55528 (0.57784) Boundary_loss: 0.013202 (0.013107) Loss: 0.56848 (0.59095) +2025-08-22,05:37:43 | INFO | Train Epoch: 4 [11008512/26365952 (42%)] Avg Boundaries (per batch): 18.920 Boundary Ratio: 0.097 Contrastive_loss: 0.59177 (0.57791) Boundary_loss: 0.013202 (0.013107) Loss: 0.60497 (0.59102) +2025-08-22,05:38:42 | INFO | Train Epoch: 4 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.51770 (0.57763) Boundary_loss: 0.013067 (0.013107) Loss: 0.53077 (0.59074) +2025-08-22,05:39:41 | INFO | Train Epoch: 4 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.63386 (0.57789) Boundary_loss: 0.013189 (0.013107) Loss: 0.64705 (0.59100) +2025-08-22,05:40:40 | INFO | Train Epoch: 4 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.63417 (0.57815) Boundary_loss: 0.013244 (0.013108) Loss: 0.64742 (0.59125) +2025-08-22,05:41:39 | INFO | Train Epoch: 4 [11213312/26365952 (43%)] Avg Boundaries (per batch): 18.828 Boundary Ratio: 0.096 Contrastive_loss: 0.63018 (0.57838) Boundary_loss: 0.013103 (0.013108) Loss: 0.64328 (0.59149) +2025-08-22,05:42:38 | INFO | Train Epoch: 4 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.49601 (0.57801) Boundary_loss: 0.013057 (0.013108) Loss: 0.50907 (0.59112) +2025-08-22,05:43:37 | INFO | Train Epoch: 4 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.40280 (0.57722) Boundary_loss: 0.013153 (0.013108) Loss: 0.41595 (0.59033) +2025-08-22,05:44:36 | INFO | Train Epoch: 4 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.594 Boundary Ratio: 0.100 Contrastive_loss: 0.52391 (0.57698) Boundary_loss: 0.013190 (0.013108) Loss: 0.53710 (0.59009) +2025-08-22,05:45:35 | INFO | Train Epoch: 4 [11418112/26365952 (43%)] Avg Boundaries (per batch): 18.934 Boundary Ratio: 0.097 Contrastive_loss: 0.54849 (0.57685) Boundary_loss: 0.013148 (0.013108) Loss: 0.56164 (0.58996) +2025-08-22,05:46:34 | INFO | Train Epoch: 4 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.55102 (0.57674) Boundary_loss: 0.013085 (0.013108) Loss: 0.56410 (0.58985) +2025-08-22,05:47:33 | INFO | Train Epoch: 4 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.543 Boundary Ratio: 0.100 Contrastive_loss: 0.56540 (0.57669) Boundary_loss: 0.013097 (0.013108) Loss: 0.57849 (0.58980) +2025-08-22,05:48:31 | INFO | Train Epoch: 4 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.54108 (0.57653) Boundary_loss: 0.013161 (0.013108) Loss: 0.55424 (0.58964) +2025-08-22,05:49:30 | INFO | Train Epoch: 4 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.48076 (0.57611) Boundary_loss: 0.013183 (0.013109) Loss: 0.49394 (0.58922) +2025-08-22,05:50:29 | INFO | Train Epoch: 4 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.61863 (0.57630) Boundary_loss: 0.013104 (0.013109) Loss: 0.63173 (0.58941) +2025-08-22,05:51:28 | INFO | Train Epoch: 4 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.53408 (0.57611) Boundary_loss: 0.013055 (0.013108) Loss: 0.54714 (0.58922) +2025-08-22,05:52:27 | INFO | Train Epoch: 4 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.56649 (0.57607) Boundary_loss: 0.013014 (0.013108) Loss: 0.57950 (0.58918) +2025-08-22,05:53:26 | INFO | Train Epoch: 4 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.607 Boundary Ratio: 0.100 Contrastive_loss: 0.48788 (0.57569) Boundary_loss: 0.013084 (0.013108) Loss: 0.50096 (0.58880) +2025-08-22,05:54:25 | INFO | Train Epoch: 4 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.60773 (0.57583) Boundary_loss: 0.013145 (0.013108) Loss: 0.62088 (0.58894) +2025-08-22,05:55:24 | INFO | Train Epoch: 4 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.51709 (0.57558) Boundary_loss: 0.012933 (0.013107) Loss: 0.53002 (0.58869) +2025-08-22,05:56:23 | INFO | Train Epoch: 4 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.48462 (0.57519) Boundary_loss: 0.013047 (0.013107) Loss: 0.49767 (0.58830) +2025-08-22,05:57:22 | INFO | Train Epoch: 4 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.66610 (0.57558) Boundary_loss: 0.013128 (0.013107) Loss: 0.67923 (0.58868) +2025-08-22,05:58:21 | INFO | Train Epoch: 4 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.697 Boundary Ratio: 0.100 Contrastive_loss: 0.49903 (0.57525) Boundary_loss: 0.013146 (0.013107) Loss: 0.51217 (0.58836) +2025-08-22,05:59:20 | INFO | Train Epoch: 4 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.55162 (0.57516) Boundary_loss: 0.013091 (0.013107) Loss: 0.56471 (0.58826) +2025-08-22,06:00:19 | INFO | Train Epoch: 4 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.60554 (0.57528) Boundary_loss: 0.013033 (0.013107) Loss: 0.61858 (0.58839) +2025-08-22,06:01:18 | INFO | Train Epoch: 4 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.54718 (0.57517) Boundary_loss: 0.013070 (0.013107) Loss: 0.56025 (0.58827) +2025-08-22,06:02:17 | INFO | Train Epoch: 4 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.51591 (0.57492) Boundary_loss: 0.013090 (0.013107) Loss: 0.52900 (0.58803) +2025-08-22,06:03:15 | INFO | Train Epoch: 4 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.838 Boundary Ratio: 0.101 Contrastive_loss: 0.58957 (0.57498) Boundary_loss: 0.013117 (0.013107) Loss: 0.60268 (0.58809) +2025-08-22,06:04:14 | INFO | Train Epoch: 4 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.58655 (0.57503) Boundary_loss: 0.013046 (0.013107) Loss: 0.59960 (0.58813) +2025-08-22,06:05:13 | INFO | Train Epoch: 4 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.56036 (0.57497) Boundary_loss: 0.012983 (0.013106) Loss: 0.57334 (0.58807) +2025-08-22,06:06:12 | INFO | Train Epoch: 4 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.45573 (0.57448) Boundary_loss: 0.013158 (0.013106) Loss: 0.46889 (0.58759) +2025-08-22,06:07:11 | INFO | Train Epoch: 4 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.49447 (0.57416) Boundary_loss: 0.013208 (0.013107) Loss: 0.50768 (0.58726) +2025-08-22,06:08:10 | INFO | Train Epoch: 4 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.49930 (0.57385) Boundary_loss: 0.013106 (0.013107) Loss: 0.51241 (0.58696) +2025-08-22,06:09:09 | INFO | Train Epoch: 4 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.51512 (0.57362) Boundary_loss: 0.013113 (0.013107) Loss: 0.52823 (0.58672) +2025-08-22,06:10:08 | INFO | Train Epoch: 4 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.53049 (0.57344) Boundary_loss: 0.013173 (0.013107) Loss: 0.54366 (0.58655) +2025-08-22,06:11:07 | INFO | Train Epoch: 4 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.56859 (0.57342) Boundary_loss: 0.013051 (0.013107) Loss: 0.58164 (0.58653) +2025-08-22,06:12:06 | INFO | Train Epoch: 4 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.65875 (0.57376) Boundary_loss: 0.013131 (0.013107) Loss: 0.67188 (0.58687) +2025-08-22,06:13:04 | INFO | Train Epoch: 4 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.46521 (0.57333) Boundary_loss: 0.013114 (0.013107) Loss: 0.47832 (0.58644) +2025-08-22,06:14:03 | INFO | Train Epoch: 4 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.74777 (0.57402) Boundary_loss: 0.013068 (0.013107) Loss: 0.76084 (0.58713) +2025-08-22,06:15:02 | INFO | Train Epoch: 4 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.51336 (0.57378) Boundary_loss: 0.013213 (0.013107) Loss: 0.52657 (0.58689) +2025-08-22,06:16:01 | INFO | Train Epoch: 4 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.50003 (0.57349) Boundary_loss: 0.013115 (0.013107) Loss: 0.51315 (0.58660) +2025-08-22,06:17:00 | INFO | Train Epoch: 4 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.54775 (0.57339) Boundary_loss: 0.013096 (0.013107) Loss: 0.56084 (0.58650) +2025-08-22,06:17:59 | INFO | Train Epoch: 4 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.68534 (0.57383) Boundary_loss: 0.013112 (0.013107) Loss: 0.69846 (0.58694) +2025-08-22,06:18:58 | INFO | Train Epoch: 4 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.60179 (0.57394) Boundary_loss: 0.013075 (0.013107) Loss: 0.61487 (0.58704) +2025-08-22,06:19:56 | INFO | Train Epoch: 4 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.60902 (0.57407) Boundary_loss: 0.013093 (0.013107) Loss: 0.62212 (0.58718) +2025-08-22,06:20:55 | INFO | Train Epoch: 4 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.48653 (0.57374) Boundary_loss: 0.013085 (0.013107) Loss: 0.49961 (0.58684) +2025-08-22,06:21:54 | INFO | Train Epoch: 4 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.53756 (0.57360) Boundary_loss: 0.013137 (0.013107) Loss: 0.55070 (0.58670) +2025-08-22,06:22:53 | INFO | Train Epoch: 4 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.51796 (0.57338) Boundary_loss: 0.013086 (0.013107) Loss: 0.53105 (0.58649) +2025-08-22,06:23:52 | INFO | Train Epoch: 4 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.49776 (0.57310) Boundary_loss: 0.013203 (0.013107) Loss: 0.51096 (0.58620) +2025-08-22,06:24:51 | INFO | Train Epoch: 4 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.54617 (0.57300) Boundary_loss: 0.013142 (0.013107) Loss: 0.55931 (0.58610) +2025-08-22,06:25:49 | INFO | Train Epoch: 4 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.592 Boundary Ratio: 0.100 Contrastive_loss: 0.54947 (0.57291) Boundary_loss: 0.013325 (0.013108) Loss: 0.56280 (0.58601) +2025-08-22,06:26:48 | INFO | Train Epoch: 4 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.56415 (0.57287) Boundary_loss: 0.013052 (0.013108) Loss: 0.57720 (0.58598) +2025-08-22,06:27:47 | INFO | Train Epoch: 4 [13619712/26365952 (52%)] Avg Boundaries (per batch): 18.965 Boundary Ratio: 0.097 Contrastive_loss: 0.58385 (0.57291) Boundary_loss: 0.013119 (0.013108) Loss: 0.59697 (0.58602) +2025-08-22,06:28:46 | INFO | Train Epoch: 4 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.49280 (0.57262) Boundary_loss: 0.013096 (0.013108) Loss: 0.50590 (0.58572) +2025-08-22,06:29:45 | INFO | Train Epoch: 4 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.64300 (0.57288) Boundary_loss: 0.013019 (0.013108) Loss: 0.65602 (0.58599) +2025-08-22,06:30:44 | INFO | Train Epoch: 4 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.59823 (0.57297) Boundary_loss: 0.013062 (0.013107) Loss: 0.61129 (0.58608) +2025-08-22,06:31:43 | INFO | Train Epoch: 4 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.63486 (0.57320) Boundary_loss: 0.013133 (0.013108) Loss: 0.64800 (0.58631) +2025-08-22,06:32:42 | INFO | Train Epoch: 4 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.53166 (0.57305) Boundary_loss: 0.013043 (0.013107) Loss: 0.54470 (0.58615) +2025-08-22,06:33:40 | INFO | Train Epoch: 4 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.621 Boundary Ratio: 0.100 Contrastive_loss: 0.54767 (0.57295) Boundary_loss: 0.013053 (0.013107) Loss: 0.56073 (0.58606) +2025-08-22,06:34:39 | INFO | Train Epoch: 4 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.40589 (0.57234) Boundary_loss: 0.013236 (0.013108) Loss: 0.41913 (0.58545) +2025-08-22,06:35:38 | INFO | Train Epoch: 4 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.57074 (0.57234) Boundary_loss: 0.013186 (0.013108) Loss: 0.58393 (0.58545) +2025-08-22,06:36:37 | INFO | Train Epoch: 4 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.57727 (0.57236) Boundary_loss: 0.013102 (0.013108) Loss: 0.59037 (0.58546) +2025-08-22,06:37:36 | INFO | Train Epoch: 4 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.53058 (0.57221) Boundary_loss: 0.013048 (0.013108) Loss: 0.54362 (0.58531) +2025-08-22,06:38:35 | INFO | Train Epoch: 4 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.60067 (0.57231) Boundary_loss: 0.013155 (0.013108) Loss: 0.61382 (0.58542) +2025-08-22,06:39:34 | INFO | Train Epoch: 4 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.53894 (0.57219) Boundary_loss: 0.013082 (0.013108) Loss: 0.55202 (0.58530) +2025-08-22,06:40:33 | INFO | Train Epoch: 4 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 0.57998 (0.57222) Boundary_loss: 0.013032 (0.013107) Loss: 0.59301 (0.58532) +2025-08-22,06:41:31 | INFO | Train Epoch: 4 [14336512/26365952 (54%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 0.47822 (0.57188) Boundary_loss: 0.013145 (0.013108) Loss: 0.49136 (0.58499) +2025-08-22,06:42:30 | INFO | Train Epoch: 4 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.64645 (0.57215) Boundary_loss: 0.013091 (0.013108) Loss: 0.65954 (0.58525) +2025-08-22,06:43:29 | INFO | Train Epoch: 4 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.53993 (0.57203) Boundary_loss: 0.013042 (0.013107) Loss: 0.55297 (0.58514) +2025-08-22,06:44:28 | INFO | Train Epoch: 4 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.49427 (0.57176) Boundary_loss: 0.013050 (0.013107) Loss: 0.50732 (0.58487) +2025-08-22,06:45:27 | INFO | Train Epoch: 4 [14541312/26365952 (55%)] Avg Boundaries (per batch): 18.736 Boundary Ratio: 0.096 Contrastive_loss: 0.48990 (0.57147) Boundary_loss: 0.013130 (0.013107) Loss: 0.50303 (0.58458) +2025-08-22,06:46:26 | INFO | Train Epoch: 4 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.59312 (0.57155) Boundary_loss: 0.013085 (0.013107) Loss: 0.60620 (0.58465) +2025-08-22,06:47:25 | INFO | Train Epoch: 4 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.46094 (0.57116) Boundary_loss: 0.013088 (0.013107) Loss: 0.47402 (0.58427) +2025-08-22,06:48:24 | INFO | Train Epoch: 4 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.49208 (0.57089) Boundary_loss: 0.013073 (0.013107) Loss: 0.50515 (0.58399) +2025-08-22,06:49:23 | INFO | Train Epoch: 4 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.49142 (0.57061) Boundary_loss: 0.013108 (0.013107) Loss: 0.50453 (0.58372) +2025-08-22,06:50:22 | INFO | Train Epoch: 4 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.60859 (0.57074) Boundary_loss: 0.013021 (0.013107) Loss: 0.62161 (0.58385) +2025-08-22,06:51:21 | INFO | Train Epoch: 4 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.60071 (0.57085) Boundary_loss: 0.013171 (0.013107) Loss: 0.61388 (0.58395) +2025-08-22,06:52:19 | INFO | Train Epoch: 4 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.50476 (0.57062) Boundary_loss: 0.013066 (0.013107) Loss: 0.51783 (0.58373) +2025-08-22,06:53:18 | INFO | Train Epoch: 4 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.57109 (0.57062) Boundary_loss: 0.013192 (0.013107) Loss: 0.58428 (0.58373) +2025-08-22,06:54:17 | INFO | Train Epoch: 4 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.607 Boundary Ratio: 0.100 Contrastive_loss: 0.53319 (0.57049) Boundary_loss: 0.013063 (0.013107) Loss: 0.54625 (0.58360) +2025-08-22,06:55:16 | INFO | Train Epoch: 4 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.63955 (0.57073) Boundary_loss: 0.013091 (0.013107) Loss: 0.65264 (0.58383) +2025-08-22,06:56:15 | INFO | Train Epoch: 4 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.46476 (0.57037) Boundary_loss: 0.012971 (0.013106) Loss: 0.47773 (0.58348) +2025-08-22,06:57:14 | INFO | Train Epoch: 4 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.59235 (0.57044) Boundary_loss: 0.013098 (0.013106) Loss: 0.60545 (0.58355) +2025-08-22,06:58:13 | INFO | Train Epoch: 4 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.52067 (0.57028) Boundary_loss: 0.013090 (0.013106) Loss: 0.53377 (0.58338) +2025-08-22,06:59:12 | INFO | Train Epoch: 4 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.62807 (0.57047) Boundary_loss: 0.013136 (0.013106) Loss: 0.64121 (0.58358) +2025-08-22,07:00:11 | INFO | Train Epoch: 4 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.49710 (0.57023) Boundary_loss: 0.013103 (0.013106) Loss: 0.51021 (0.58333) +2025-08-22,07:01:10 | INFO | Train Epoch: 4 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.51895 (0.57006) Boundary_loss: 0.013150 (0.013107) Loss: 0.53210 (0.58316) +2025-08-22,07:02:09 | INFO | Train Epoch: 4 [15411712/26365952 (58%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.57793 (0.57008) Boundary_loss: 0.013033 (0.013106) Loss: 0.59097 (0.58319) +2025-08-22,07:03:07 | INFO | Train Epoch: 4 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.56794 (0.57007) Boundary_loss: 0.013163 (0.013106) Loss: 0.58110 (0.58318) +2025-08-22,07:04:06 | INFO | Train Epoch: 4 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.50834 (0.56987) Boundary_loss: 0.013094 (0.013106) Loss: 0.52143 (0.58298) +2025-08-22,07:05:05 | INFO | Train Epoch: 4 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.39382 (0.56929) Boundary_loss: 0.013154 (0.013107) Loss: 0.40698 (0.58240) +2025-08-22,07:06:04 | INFO | Train Epoch: 4 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.59847 (0.56939) Boundary_loss: 0.012982 (0.013106) Loss: 0.61145 (0.58250) +2025-08-22,07:07:03 | INFO | Train Epoch: 4 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.59254 (0.56946) Boundary_loss: 0.013003 (0.013106) Loss: 0.60554 (0.58257) +2025-08-22,07:08:02 | INFO | Train Epoch: 4 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.55993 (0.56943) Boundary_loss: 0.013055 (0.013106) Loss: 0.57298 (0.58254) +2025-08-22,07:09:01 | INFO | Train Epoch: 4 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.57325 (0.56945) Boundary_loss: 0.013067 (0.013106) Loss: 0.58632 (0.58255) +2025-08-22,07:10:00 | INFO | Train Epoch: 4 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.70673 (0.56989) Boundary_loss: 0.013011 (0.013105) Loss: 0.71974 (0.58299) +2025-08-22,07:10:59 | INFO | Train Epoch: 4 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.61719 (0.57004) Boundary_loss: 0.013130 (0.013105) Loss: 0.63032 (0.58315) +2025-08-22,07:11:58 | INFO | Train Epoch: 4 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.59874 (0.57013) Boundary_loss: 0.013118 (0.013105) Loss: 0.61186 (0.58324) +2025-08-22,07:12:56 | INFO | Train Epoch: 4 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.63432 (0.57034) Boundary_loss: 0.013045 (0.013105) Loss: 0.64737 (0.58344) +2025-08-22,07:13:55 | INFO | Train Epoch: 4 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.55580 (0.57029) Boundary_loss: 0.013037 (0.013105) Loss: 0.56884 (0.58340) +2025-08-22,07:14:54 | INFO | Train Epoch: 4 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.54310 (0.57021) Boundary_loss: 0.013029 (0.013105) Loss: 0.55613 (0.58331) +2025-08-22,07:15:53 | INFO | Train Epoch: 4 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.48592 (0.56994) Boundary_loss: 0.013114 (0.013105) Loss: 0.49904 (0.58304) +2025-08-22,07:16:52 | INFO | Train Epoch: 4 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.53123 (0.56982) Boundary_loss: 0.013089 (0.013105) Loss: 0.54432 (0.58292) +2025-08-22,07:17:51 | INFO | Train Epoch: 4 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.64799 (0.57006) Boundary_loss: 0.013141 (0.013105) Loss: 0.66113 (0.58317) +2025-08-22,07:18:50 | INFO | Train Epoch: 4 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.56827 (0.57006) Boundary_loss: 0.013037 (0.013105) Loss: 0.58131 (0.58316) +2025-08-22,07:19:49 | INFO | Train Epoch: 4 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.58654 (0.57011) Boundary_loss: 0.013033 (0.013104) Loss: 0.59957 (0.58321) +2025-08-22,07:20:48 | INFO | Train Epoch: 4 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.59745 (0.57019) Boundary_loss: 0.013111 (0.013104) Loss: 0.61056 (0.58330) +2025-08-22,07:21:47 | INFO | Train Epoch: 4 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.56396 (0.57017) Boundary_loss: 0.013059 (0.013104) Loss: 0.57702 (0.58328) +2025-08-22,07:22:46 | INFO | Train Epoch: 4 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.59000 (0.57024) Boundary_loss: 0.013057 (0.013104) Loss: 0.60305 (0.58334) +2025-08-22,07:23:44 | INFO | Train Epoch: 4 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.70027 (0.57064) Boundary_loss: 0.013120 (0.013104) Loss: 0.71339 (0.58374) +2025-08-22,07:24:43 | INFO | Train Epoch: 4 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.55155 (0.57058) Boundary_loss: 0.013110 (0.013104) Loss: 0.56466 (0.58368) +2025-08-22,07:25:42 | INFO | Train Epoch: 4 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.61628 (0.57072) Boundary_loss: 0.013089 (0.013104) Loss: 0.62936 (0.58382) +2025-08-22,07:26:41 | INFO | Train Epoch: 4 [16691712/26365952 (63%)] Avg Boundaries (per batch): 18.818 Boundary Ratio: 0.096 Contrastive_loss: 0.57025 (0.57072) Boundary_loss: 0.013166 (0.013104) Loss: 0.58342 (0.58382) +2025-08-22,07:27:40 | INFO | Train Epoch: 4 [16742912/26365952 (64%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 0.71319 (0.57115) Boundary_loss: 0.013095 (0.013104) Loss: 0.72628 (0.58426) +2025-08-22,07:28:39 | INFO | Train Epoch: 4 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.55345 (0.57110) Boundary_loss: 0.012986 (0.013104) Loss: 0.56644 (0.58420) +2025-08-22,07:29:38 | INFO | Train Epoch: 4 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.50300 (0.57089) Boundary_loss: 0.013047 (0.013104) Loss: 0.51604 (0.58399) +2025-08-22,07:30:37 | INFO | Train Epoch: 4 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.57464 (0.57090) Boundary_loss: 0.013141 (0.013104) Loss: 0.58778 (0.58401) +2025-08-22,07:31:36 | INFO | Train Epoch: 4 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.689 Boundary Ratio: 0.100 Contrastive_loss: 0.51588 (0.57074) Boundary_loss: 0.013138 (0.013104) Loss: 0.52902 (0.58384) +2025-08-22,07:32:35 | INFO | Train Epoch: 4 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.56769 (0.57073) Boundary_loss: 0.013003 (0.013104) Loss: 0.58069 (0.58383) +2025-08-22,07:33:34 | INFO | Train Epoch: 4 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.55907 (0.57069) Boundary_loss: 0.013206 (0.013104) Loss: 0.57227 (0.58380) +2025-08-22,07:34:33 | INFO | Train Epoch: 4 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.52102 (0.57054) Boundary_loss: 0.013083 (0.013104) Loss: 0.53410 (0.58365) +2025-08-22,07:35:31 | INFO | Train Epoch: 4 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.58700 (0.57059) Boundary_loss: 0.013203 (0.013104) Loss: 0.60020 (0.58370) +2025-08-22,07:36:30 | INFO | Train Epoch: 4 [17203712/26365952 (65%)] Avg Boundaries (per batch): 18.891 Boundary Ratio: 0.096 Contrastive_loss: 0.56766 (0.57058) Boundary_loss: 0.013121 (0.013104) Loss: 0.58078 (0.58369) +2025-08-22,07:37:29 | INFO | Train Epoch: 4 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.54945 (0.57052) Boundary_loss: 0.013023 (0.013104) Loss: 0.56248 (0.58363) +2025-08-22,07:38:28 | INFO | Train Epoch: 4 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.58907 (0.57058) Boundary_loss: 0.012963 (0.013104) Loss: 0.60203 (0.58368) +2025-08-22,07:39:27 | INFO | Train Epoch: 4 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.58899 (0.57063) Boundary_loss: 0.013058 (0.013103) Loss: 0.60205 (0.58373) +2025-08-22,07:40:26 | INFO | Train Epoch: 4 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.55685 (0.57059) Boundary_loss: 0.013217 (0.013104) Loss: 0.57006 (0.58369) +2025-08-22,07:41:25 | INFO | Train Epoch: 4 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.64330 (0.57080) Boundary_loss: 0.012971 (0.013103) Loss: 0.65627 (0.58391) +2025-08-22,07:42:24 | INFO | Train Epoch: 4 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.60681 (0.57091) Boundary_loss: 0.013132 (0.013103) Loss: 0.61995 (0.58401) +2025-08-22,07:43:23 | INFO | Train Epoch: 4 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.568 Boundary Ratio: 0.100 Contrastive_loss: 0.51257 (0.57074) Boundary_loss: 0.013040 (0.013103) Loss: 0.52561 (0.58384) +2025-08-22,07:44:22 | INFO | Train Epoch: 4 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.53586 (0.57064) Boundary_loss: 0.013093 (0.013103) Loss: 0.54896 (0.58374) +2025-08-22,07:45:20 | INFO | Train Epoch: 4 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.61810 (0.57077) Boundary_loss: 0.013058 (0.013103) Loss: 0.63115 (0.58388) +2025-08-22,07:46:19 | INFO | Train Epoch: 4 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.53692 (0.57068) Boundary_loss: 0.013137 (0.013103) Loss: 0.55006 (0.58378) +2025-08-22,07:47:18 | INFO | Train Epoch: 4 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.55296 (0.57063) Boundary_loss: 0.013097 (0.013103) Loss: 0.56606 (0.58373) +2025-08-22,07:48:17 | INFO | Train Epoch: 4 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.59253 (0.57069) Boundary_loss: 0.013077 (0.013103) Loss: 0.60561 (0.58379) +2025-08-22,07:49:16 | INFO | Train Epoch: 4 [17869312/26365952 (68%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 0.48084 (0.57043) Boundary_loss: 0.012961 (0.013103) Loss: 0.49380 (0.58353) +2025-08-22,07:50:15 | INFO | Train Epoch: 4 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.46133 (0.57012) Boundary_loss: 0.013054 (0.013103) Loss: 0.47439 (0.58322) +2025-08-22,07:51:14 | INFO | Train Epoch: 4 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.67782 (0.57043) Boundary_loss: 0.013029 (0.013102) Loss: 0.69085 (0.58353) +2025-08-22,07:52:13 | INFO | Train Epoch: 4 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.54037 (0.57034) Boundary_loss: 0.013070 (0.013102) Loss: 0.55344 (0.58344) +2025-08-22,07:53:12 | INFO | Train Epoch: 4 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.61995 (0.57048) Boundary_loss: 0.013101 (0.013102) Loss: 0.63305 (0.58358) +2025-08-22,07:54:11 | INFO | Train Epoch: 4 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 0.55630 (0.57044) Boundary_loss: 0.013046 (0.013102) Loss: 0.56935 (0.58354) +2025-08-22,07:55:09 | INFO | Train Epoch: 4 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 0.56206 (0.57042) Boundary_loss: 0.013120 (0.013102) Loss: 0.57518 (0.58352) +2025-08-22,07:56:08 | INFO | Train Epoch: 4 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.56438 (0.57040) Boundary_loss: 0.013098 (0.013102) Loss: 0.57748 (0.58350) +2025-08-22,07:57:07 | INFO | Train Epoch: 4 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.57130 (0.57040) Boundary_loss: 0.013192 (0.013102) Loss: 0.58449 (0.58351) +2025-08-22,07:58:06 | INFO | Train Epoch: 4 [18330112/26365952 (70%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.50814 (0.57023) Boundary_loss: 0.012929 (0.013102) Loss: 0.52107 (0.58333) +2025-08-22,07:59:05 | INFO | Train Epoch: 4 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.58818 (0.57028) Boundary_loss: 0.013140 (0.013102) Loss: 0.60132 (0.58338) +2025-08-22,08:00:04 | INFO | Train Epoch: 4 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.60073 (0.57037) Boundary_loss: 0.013287 (0.013103) Loss: 0.61401 (0.58347) +2025-08-22,08:01:03 | INFO | Train Epoch: 4 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.50907 (0.57020) Boundary_loss: 0.012922 (0.013102) Loss: 0.52199 (0.58330) +2025-08-22,08:02:02 | INFO | Train Epoch: 4 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.53597 (0.57010) Boundary_loss: 0.013045 (0.013102) Loss: 0.54901 (0.58320) +2025-08-22,08:03:01 | INFO | Train Epoch: 4 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.53605 (0.57001) Boundary_loss: 0.013081 (0.013102) Loss: 0.54913 (0.58311) +2025-08-22,08:04:00 | INFO | Train Epoch: 4 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.45432 (0.56969) Boundary_loss: 0.012999 (0.013102) Loss: 0.46732 (0.58279) +2025-08-22,08:04:58 | INFO | Train Epoch: 4 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.59253 (0.56975) Boundary_loss: 0.013098 (0.013102) Loss: 0.60563 (0.58286) +2025-08-22,08:05:57 | INFO | Train Epoch: 4 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 0.51694 (0.56961) Boundary_loss: 0.013110 (0.013102) Loss: 0.53005 (0.58271) +2025-08-22,08:06:56 | INFO | Train Epoch: 4 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.48690 (0.56938) Boundary_loss: 0.013150 (0.013102) Loss: 0.50005 (0.58249) +2025-08-22,08:07:55 | INFO | Train Epoch: 4 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.715 Boundary Ratio: 0.101 Contrastive_loss: 0.48357 (0.56915) Boundary_loss: 0.013004 (0.013101) Loss: 0.49658 (0.58225) +2025-08-22,08:08:54 | INFO | Train Epoch: 4 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.69872 (0.56950) Boundary_loss: 0.012889 (0.013101) Loss: 0.71161 (0.58260) +2025-08-22,08:09:53 | INFO | Train Epoch: 4 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.48697 (0.56928) Boundary_loss: 0.012999 (0.013101) Loss: 0.49997 (0.58238) +2025-08-22,08:10:52 | INFO | Train Epoch: 4 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 0.56698 (0.56927) Boundary_loss: 0.013191 (0.013101) Loss: 0.58017 (0.58237) +2025-08-22,08:11:51 | INFO | Train Epoch: 4 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.44903 (0.56895) Boundary_loss: 0.012955 (0.013100) Loss: 0.46199 (0.58205) +2025-08-22,08:12:50 | INFO | Train Epoch: 4 [19098112/26365952 (72%)] Avg Boundaries (per batch): 18.988 Boundary Ratio: 0.097 Contrastive_loss: 0.63396 (0.56913) Boundary_loss: 0.013028 (0.013100) Loss: 0.64699 (0.58223) +2025-08-22,08:13:49 | INFO | Train Epoch: 4 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.60113 (0.56921) Boundary_loss: 0.013194 (0.013100) Loss: 0.61433 (0.58231) +2025-08-22,08:14:48 | INFO | Train Epoch: 4 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.52711 (0.56910) Boundary_loss: 0.013155 (0.013101) Loss: 0.54027 (0.58220) +2025-08-22,08:15:47 | INFO | Train Epoch: 4 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.56555 (0.56909) Boundary_loss: 0.013031 (0.013100) Loss: 0.57859 (0.58219) +2025-08-22,08:16:46 | INFO | Train Epoch: 4 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.742 Boundary Ratio: 0.101 Contrastive_loss: 0.59553 (0.56916) Boundary_loss: 0.013030 (0.013100) Loss: 0.60856 (0.58226) +2025-08-22,08:17:45 | INFO | Train Epoch: 4 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.51358 (0.56901) Boundary_loss: 0.013058 (0.013100) Loss: 0.52663 (0.58211) +2025-08-22,08:18:43 | INFO | Train Epoch: 4 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.709 Boundary Ratio: 0.101 Contrastive_loss: 0.66245 (0.56926) Boundary_loss: 0.013144 (0.013100) Loss: 0.67560 (0.58236) +2025-08-22,08:19:42 | INFO | Train Epoch: 4 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.59853 (0.56934) Boundary_loss: 0.012962 (0.013100) Loss: 0.61149 (0.58244) +2025-08-22,08:20:41 | INFO | Train Epoch: 4 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.58556 (0.56938) Boundary_loss: 0.012998 (0.013100) Loss: 0.59856 (0.58248) +2025-08-22,08:21:40 | INFO | Train Epoch: 4 [19558912/26365952 (74%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 0.52229 (0.56925) Boundary_loss: 0.013200 (0.013100) Loss: 0.53549 (0.58235) +2025-08-22,08:22:39 | INFO | Train Epoch: 4 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.44238 (0.56892) Boundary_loss: 0.013091 (0.013100) Loss: 0.45547 (0.58202) +2025-08-22,08:23:38 | INFO | Train Epoch: 4 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.57897 (0.56895) Boundary_loss: 0.013131 (0.013100) Loss: 0.59210 (0.58205) +2025-08-22,08:24:37 | INFO | Train Epoch: 4 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.50512 (0.56879) Boundary_loss: 0.013102 (0.013100) Loss: 0.51823 (0.58189) +2025-08-22,08:25:36 | INFO | Train Epoch: 4 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.53905 (0.56871) Boundary_loss: 0.013000 (0.013100) Loss: 0.55205 (0.58181) +2025-08-22,08:26:35 | INFO | Train Epoch: 4 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.64765 (0.56891) Boundary_loss: 0.013066 (0.013100) Loss: 0.66071 (0.58201) +2025-08-22,08:27:34 | INFO | Train Epoch: 4 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.55165 (0.56887) Boundary_loss: 0.013001 (0.013099) Loss: 0.56465 (0.58197) +2025-08-22,08:28:33 | INFO | Train Epoch: 4 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.52818 (0.56876) Boundary_loss: 0.013091 (0.013099) Loss: 0.54127 (0.58186) +2025-08-22,08:29:32 | INFO | Train Epoch: 4 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.46811 (0.56851) Boundary_loss: 0.013049 (0.013099) Loss: 0.48116 (0.58160) +2025-08-22,08:30:31 | INFO | Train Epoch: 4 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.53881 (0.56843) Boundary_loss: 0.012967 (0.013099) Loss: 0.55178 (0.58153) +2025-08-22,08:31:29 | INFO | Train Epoch: 4 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.58044 (0.56846) Boundary_loss: 0.013066 (0.013099) Loss: 0.59351 (0.58156) +2025-08-22,08:32:28 | INFO | Train Epoch: 4 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.62120 (0.56859) Boundary_loss: 0.013073 (0.013099) Loss: 0.63428 (0.58169) +2025-08-22,08:33:27 | INFO | Train Epoch: 4 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.57081 (0.56860) Boundary_loss: 0.013236 (0.013099) Loss: 0.58404 (0.58170) +2025-08-22,08:34:26 | INFO | Train Epoch: 4 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.53649 (0.56852) Boundary_loss: 0.013012 (0.013099) Loss: 0.54950 (0.58162) +2025-08-22,08:35:25 | INFO | Train Epoch: 4 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.51537 (0.56838) Boundary_loss: 0.013057 (0.013099) Loss: 0.52842 (0.58148) +2025-08-22,08:36:24 | INFO | Train Epoch: 4 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.45507 (0.56810) Boundary_loss: 0.013030 (0.013099) Loss: 0.46810 (0.58120) +2025-08-22,08:37:23 | INFO | Train Epoch: 4 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.50688 (0.56795) Boundary_loss: 0.013012 (0.013098) Loss: 0.51989 (0.58105) +2025-08-22,08:38:22 | INFO | Train Epoch: 4 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.59185 (0.56801) Boundary_loss: 0.013040 (0.013098) Loss: 0.60489 (0.58110) +2025-08-22,08:39:21 | INFO | Train Epoch: 4 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.68580 (0.56830) Boundary_loss: 0.013045 (0.013098) Loss: 0.69884 (0.58140) +2025-08-22,08:40:20 | INFO | Train Epoch: 4 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.56934 (0.56830) Boundary_loss: 0.013001 (0.013098) Loss: 0.58234 (0.58140) +2025-08-22,08:41:19 | INFO | Train Epoch: 4 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.52973 (0.56821) Boundary_loss: 0.013026 (0.013098) Loss: 0.54276 (0.58130) +2025-08-22,08:42:18 | INFO | Train Epoch: 4 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.47783 (0.56798) Boundary_loss: 0.013043 (0.013098) Loss: 0.49088 (0.58108) +2025-08-22,08:43:17 | INFO | Train Epoch: 4 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.41534 (0.56761) Boundary_loss: 0.013031 (0.013097) Loss: 0.42838 (0.58070) +2025-08-22,08:44:15 | INFO | Train Epoch: 4 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.50320 (0.56745) Boundary_loss: 0.013056 (0.013097) Loss: 0.51626 (0.58055) +2025-08-22,08:45:14 | INFO | Train Epoch: 4 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.52087 (0.56733) Boundary_loss: 0.013074 (0.013097) Loss: 0.53394 (0.58043) +2025-08-22,08:46:13 | INFO | Train Epoch: 4 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.55278 (0.56730) Boundary_loss: 0.013138 (0.013097) Loss: 0.56592 (0.58040) +2025-08-22,08:47:12 | INFO | Train Epoch: 4 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.42037 (0.56694) Boundary_loss: 0.013109 (0.013097) Loss: 0.43348 (0.58004) +2025-08-22,08:48:11 | INFO | Train Epoch: 4 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.48294 (0.56673) Boundary_loss: 0.013112 (0.013097) Loss: 0.49605 (0.57983) +2025-08-22,08:49:10 | INFO | Train Epoch: 4 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.50748 (0.56659) Boundary_loss: 0.013182 (0.013098) Loss: 0.52066 (0.57969) +2025-08-22,08:50:09 | INFO | Train Epoch: 4 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.51225 (0.56646) Boundary_loss: 0.013104 (0.013098) Loss: 0.52535 (0.57956) +2025-08-22,08:51:08 | INFO | Train Epoch: 4 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.60396 (0.56655) Boundary_loss: 0.013061 (0.013097) Loss: 0.61702 (0.57965) +2025-08-22,08:52:06 | INFO | Train Epoch: 4 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.58088 (0.56658) Boundary_loss: 0.013093 (0.013097) Loss: 0.59397 (0.57968) +2025-08-22,08:53:05 | INFO | Train Epoch: 4 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.52861 (0.56649) Boundary_loss: 0.013097 (0.013097) Loss: 0.54171 (0.57959) +2025-08-22,08:54:04 | INFO | Train Epoch: 4 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.51406 (0.56637) Boundary_loss: 0.013039 (0.013097) Loss: 0.52710 (0.57946) +2025-08-22,08:55:03 | INFO | Train Epoch: 4 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.53177 (0.56628) Boundary_loss: 0.013084 (0.013097) Loss: 0.54485 (0.57938) +2025-08-22,08:56:02 | INFO | Train Epoch: 4 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.43039 (0.56596) Boundary_loss: 0.013042 (0.013097) Loss: 0.44343 (0.57905) +2025-08-22,08:57:01 | INFO | Train Epoch: 4 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.54002 (0.56590) Boundary_loss: 0.013063 (0.013097) Loss: 0.55308 (0.57899) +2025-08-22,08:58:00 | INFO | Train Epoch: 4 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.53321 (0.56582) Boundary_loss: 0.013062 (0.013097) Loss: 0.54628 (0.57891) +2025-08-22,08:58:58 | INFO | Train Epoch: 4 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.59967 (0.56590) Boundary_loss: 0.012918 (0.013097) Loss: 0.61258 (0.57899) +2025-08-22,08:59:57 | INFO | Train Epoch: 4 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.49255 (0.56572) Boundary_loss: 0.013001 (0.013096) Loss: 0.50555 (0.57882) +2025-08-22,09:00:56 | INFO | Train Epoch: 4 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.59509 (0.56579) Boundary_loss: 0.013038 (0.013096) Loss: 0.60812 (0.57889) +2025-08-22,09:01:55 | INFO | Train Epoch: 4 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.52237 (0.56569) Boundary_loss: 0.013055 (0.013096) Loss: 0.53543 (0.57879) +2025-08-22,09:02:54 | INFO | Train Epoch: 4 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.61145 (0.56580) Boundary_loss: 0.013034 (0.013096) Loss: 0.62448 (0.57890) +2025-08-22,09:03:53 | INFO | Train Epoch: 4 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.54541 (0.56575) Boundary_loss: 0.013110 (0.013096) Loss: 0.55852 (0.57885) +2025-08-22,09:04:51 | INFO | Train Epoch: 4 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.57916 (0.56578) Boundary_loss: 0.013088 (0.013096) Loss: 0.59225 (0.57888) +2025-08-22,09:05:50 | INFO | Train Epoch: 4 [21862912/26365952 (83%)] Avg Boundaries (per batch): 18.834 Boundary Ratio: 0.096 Contrastive_loss: 0.55651 (0.56576) Boundary_loss: 0.012966 (0.013096) Loss: 0.56948 (0.57886) +2025-08-22,09:06:49 | INFO | Train Epoch: 4 [21914112/26365952 (83%)] Avg Boundaries (per batch): 18.949 Boundary Ratio: 0.097 Contrastive_loss: 0.53109 (0.56568) Boundary_loss: 0.013113 (0.013096) Loss: 0.54420 (0.57878) +2025-08-22,09:07:48 | INFO | Train Epoch: 4 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.64017 (0.56585) Boundary_loss: 0.013104 (0.013096) Loss: 0.65328 (0.57895) +2025-08-22,09:08:47 | INFO | Train Epoch: 4 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.51541 (0.56574) Boundary_loss: 0.013008 (0.013096) Loss: 0.52841 (0.57883) +2025-08-22,09:09:46 | INFO | Train Epoch: 4 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.48041 (0.56554) Boundary_loss: 0.012947 (0.013095) Loss: 0.49336 (0.57863) +2025-08-22,09:10:45 | INFO | Train Epoch: 4 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.57932 (0.56557) Boundary_loss: 0.013005 (0.013095) Loss: 0.59232 (0.57867) +2025-08-22,09:11:43 | INFO | Train Epoch: 4 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.44781 (0.56530) Boundary_loss: 0.013111 (0.013095) Loss: 0.46092 (0.57839) +2025-08-22,09:12:42 | INFO | Train Epoch: 4 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.637 Boundary Ratio: 0.100 Contrastive_loss: 0.51885 (0.56519) Boundary_loss: 0.013129 (0.013095) Loss: 0.53198 (0.57829) +2025-08-22,09:13:41 | INFO | Train Epoch: 4 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.50390 (0.56505) Boundary_loss: 0.013133 (0.013095) Loss: 0.51703 (0.57815) +2025-08-22,09:14:40 | INFO | Train Epoch: 4 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.53642 (0.56499) Boundary_loss: 0.013059 (0.013095) Loss: 0.54948 (0.57808) +2025-08-22,09:15:39 | INFO | Train Epoch: 4 [22374912/26365952 (85%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 0.50447 (0.56485) Boundary_loss: 0.013058 (0.013095) Loss: 0.51753 (0.57794) +2025-08-22,09:16:38 | INFO | Train Epoch: 4 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.57922 (0.56488) Boundary_loss: 0.013053 (0.013095) Loss: 0.59228 (0.57798) +2025-08-22,09:17:36 | INFO | Train Epoch: 4 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.64896 (0.56507) Boundary_loss: 0.013028 (0.013095) Loss: 0.66198 (0.57817) +2025-08-22,09:18:35 | INFO | Train Epoch: 4 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.48358 (0.56489) Boundary_loss: 0.013065 (0.013095) Loss: 0.49665 (0.57798) +2025-08-22,09:19:34 | INFO | Train Epoch: 4 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.45665 (0.56464) Boundary_loss: 0.013124 (0.013095) Loss: 0.46977 (0.57774) +2025-08-22,09:20:33 | INFO | Train Epoch: 4 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.51687 (0.56453) Boundary_loss: 0.012936 (0.013094) Loss: 0.52981 (0.57763) +2025-08-22,09:21:32 | INFO | Train Epoch: 4 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.53141 (0.56446) Boundary_loss: 0.013033 (0.013094) Loss: 0.54444 (0.57755) +2025-08-22,09:22:30 | INFO | Train Epoch: 4 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.56007 (0.56445) Boundary_loss: 0.013087 (0.013094) Loss: 0.57316 (0.57754) +2025-08-22,09:23:29 | INFO | Train Epoch: 4 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.64367 (0.56463) Boundary_loss: 0.012994 (0.013094) Loss: 0.65666 (0.57772) +2025-08-22,09:24:28 | INFO | Train Epoch: 4 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.52240 (0.56453) Boundary_loss: 0.013065 (0.013094) Loss: 0.53547 (0.57763) +2025-08-22,09:25:26 | INFO | Train Epoch: 4 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.62679 (0.56467) Boundary_loss: 0.013049 (0.013094) Loss: 0.63984 (0.57777) +2025-08-22,09:26:25 | INFO | Train Epoch: 4 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.65888 (0.56488) Boundary_loss: 0.013077 (0.013094) Loss: 0.67196 (0.57798) +2025-08-22,09:27:24 | INFO | Train Epoch: 4 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.682 Boundary Ratio: 0.100 Contrastive_loss: 0.47970 (0.56469) Boundary_loss: 0.013224 (0.013094) Loss: 0.49293 (0.57779) +2025-08-22,09:28:23 | INFO | Train Epoch: 4 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.55919 (0.56468) Boundary_loss: 0.013020 (0.013094) Loss: 0.57221 (0.57777) +2025-08-22,09:29:21 | INFO | Train Epoch: 4 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.598 Boundary Ratio: 0.100 Contrastive_loss: 0.49271 (0.56452) Boundary_loss: 0.013091 (0.013094) Loss: 0.50580 (0.57762) +2025-08-22,09:30:20 | INFO | Train Epoch: 4 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.54947 (0.56449) Boundary_loss: 0.013030 (0.013094) Loss: 0.56250 (0.57758) +2025-08-22,09:31:19 | INFO | Train Epoch: 4 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.57256 (0.56451) Boundary_loss: 0.013102 (0.013094) Loss: 0.58566 (0.57760) +2025-08-22,09:32:18 | INFO | Train Epoch: 4 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.53385 (0.56444) Boundary_loss: 0.013105 (0.013094) Loss: 0.54696 (0.57753) +2025-08-22,09:33:16 | INFO | Train Epoch: 4 [23296512/26365952 (88%)] Avg Boundaries (per batch): 18.793 Boundary Ratio: 0.096 Contrastive_loss: 0.53372 (0.56437) Boundary_loss: 0.013143 (0.013094) Loss: 0.54686 (0.57747) +2025-08-22,09:34:15 | INFO | Train Epoch: 4 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.51913 (0.56427) Boundary_loss: 0.013108 (0.013094) Loss: 0.53224 (0.57737) +2025-08-22,09:35:14 | INFO | Train Epoch: 4 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.49828 (0.56413) Boundary_loss: 0.013227 (0.013094) Loss: 0.51151 (0.57722) +2025-08-22,09:36:13 | INFO | Train Epoch: 4 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.50950 (0.56401) Boundary_loss: 0.013035 (0.013094) Loss: 0.52254 (0.57710) +2025-08-22,09:37:12 | INFO | Train Epoch: 4 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.45201 (0.56377) Boundary_loss: 0.013053 (0.013094) Loss: 0.46506 (0.57686) +2025-08-22,09:38:10 | INFO | Train Epoch: 4 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.54477 (0.56372) Boundary_loss: 0.012980 (0.013094) Loss: 0.55775 (0.57682) +2025-08-22,09:39:09 | INFO | Train Epoch: 4 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.54203 (0.56368) Boundary_loss: 0.012991 (0.013094) Loss: 0.55502 (0.57677) +2025-08-22,09:40:08 | INFO | Train Epoch: 4 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.47908 (0.56349) Boundary_loss: 0.012988 (0.013093) Loss: 0.49207 (0.57659) +2025-08-22,09:41:07 | INFO | Train Epoch: 4 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.55716 (0.56348) Boundary_loss: 0.013080 (0.013093) Loss: 0.57024 (0.57657) +2025-08-22,09:42:06 | INFO | Train Epoch: 4 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.52706 (0.56340) Boundary_loss: 0.013070 (0.013093) Loss: 0.54013 (0.57650) +2025-08-22,09:43:04 | INFO | Train Epoch: 4 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.686 Boundary Ratio: 0.100 Contrastive_loss: 0.67095 (0.56363) Boundary_loss: 0.013084 (0.013093) Loss: 0.68404 (0.57673) +2025-08-22,09:44:03 | INFO | Train Epoch: 4 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.61392 (0.56374) Boundary_loss: 0.013120 (0.013093) Loss: 0.62704 (0.57683) +2025-08-22,09:45:02 | INFO | Train Epoch: 4 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 0.52563 (0.56366) Boundary_loss: 0.013053 (0.013093) Loss: 0.53868 (0.57675) +2025-08-22,09:46:01 | INFO | Train Epoch: 4 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.51460 (0.56356) Boundary_loss: 0.013069 (0.013093) Loss: 0.52767 (0.57665) +2025-08-22,09:47:00 | INFO | Train Epoch: 4 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.52518 (0.56347) Boundary_loss: 0.013099 (0.013093) Loss: 0.53828 (0.57657) +2025-08-22,09:47:58 | INFO | Train Epoch: 4 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.57652 (0.56350) Boundary_loss: 0.013018 (0.013093) Loss: 0.58954 (0.57659) +2025-08-22,09:48:57 | INFO | Train Epoch: 4 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.56012 (0.56349) Boundary_loss: 0.013076 (0.013093) Loss: 0.57320 (0.57659) +2025-08-22,09:49:56 | INFO | Train Epoch: 4 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.52367 (0.56341) Boundary_loss: 0.013088 (0.013093) Loss: 0.53675 (0.57650) +2025-08-22,09:50:55 | INFO | Train Epoch: 4 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.58502 (0.56346) Boundary_loss: 0.012979 (0.013093) Loss: 0.59800 (0.57655) +2025-08-22,09:51:54 | INFO | Train Epoch: 4 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.48410 (0.56329) Boundary_loss: 0.013008 (0.013093) Loss: 0.49711 (0.57638) +2025-08-22,09:52:53 | INFO | Train Epoch: 4 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.51812 (0.56319) Boundary_loss: 0.013024 (0.013092) Loss: 0.53114 (0.57629) +2025-08-22,09:53:51 | INFO | Train Epoch: 4 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.48805 (0.56304) Boundary_loss: 0.012943 (0.013092) Loss: 0.50099 (0.57613) +2025-08-22,09:54:50 | INFO | Train Epoch: 4 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.48985 (0.56288) Boundary_loss: 0.012918 (0.013092) Loss: 0.50277 (0.57597) +2025-08-22,09:55:49 | INFO | Train Epoch: 4 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.588 Boundary Ratio: 0.100 Contrastive_loss: 0.50321 (0.56276) Boundary_loss: 0.012978 (0.013092) Loss: 0.51619 (0.57585) +2025-08-22,09:56:48 | INFO | Train Epoch: 4 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.58221 (0.56280) Boundary_loss: 0.012899 (0.013091) Loss: 0.59510 (0.57589) +2025-08-22,09:57:47 | INFO | Train Epoch: 4 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.51420 (0.56270) Boundary_loss: 0.012979 (0.013091) Loss: 0.52718 (0.57579) +2025-08-22,09:58:46 | INFO | Train Epoch: 4 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.590 Boundary Ratio: 0.100 Contrastive_loss: 0.46681 (0.56250) Boundary_loss: 0.013087 (0.013091) Loss: 0.47990 (0.57559) +2025-08-22,09:59:44 | INFO | Train Epoch: 4 [24678912/26365952 (94%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.52471 (0.56242) Boundary_loss: 0.013027 (0.013091) Loss: 0.53774 (0.57551) +2025-08-22,10:00:43 | INFO | Train Epoch: 4 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.660 Boundary Ratio: 0.100 Contrastive_loss: 0.58368 (0.56246) Boundary_loss: 0.013015 (0.013091) Loss: 0.59670 (0.57556) +2025-08-22,10:01:42 | INFO | Train Epoch: 4 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.623 Boundary Ratio: 0.100 Contrastive_loss: 0.50545 (0.56235) Boundary_loss: 0.013190 (0.013091) Loss: 0.51864 (0.57544) +2025-08-22,10:02:41 | INFO | Train Epoch: 4 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 0.50610 (0.56223) Boundary_loss: 0.013036 (0.013091) Loss: 0.51914 (0.57532) +2025-08-22,10:03:40 | INFO | Train Epoch: 4 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.62937 (0.56237) Boundary_loss: 0.013059 (0.013091) Loss: 0.64243 (0.57546) +2025-08-22,10:04:38 | INFO | Train Epoch: 4 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.50699 (0.56226) Boundary_loss: 0.012915 (0.013090) Loss: 0.51991 (0.57535) +2025-08-22,10:05:37 | INFO | Train Epoch: 4 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.48345 (0.56209) Boundary_loss: 0.013019 (0.013090) Loss: 0.49647 (0.57518) +2025-08-22,10:06:36 | INFO | Train Epoch: 4 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.52389 (0.56202) Boundary_loss: 0.013147 (0.013090) Loss: 0.53704 (0.57511) +2025-08-22,10:07:35 | INFO | Train Epoch: 4 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.48609 (0.56186) Boundary_loss: 0.013105 (0.013090) Loss: 0.49920 (0.57495) +2025-08-22,10:08:34 | INFO | Train Epoch: 4 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.52742 (0.56179) Boundary_loss: 0.013161 (0.013090) Loss: 0.54058 (0.57488) +2025-08-22,10:09:32 | INFO | Train Epoch: 4 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.45491 (0.56158) Boundary_loss: 0.012993 (0.013090) Loss: 0.46790 (0.57467) +2025-08-22,10:10:31 | INFO | Train Epoch: 4 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.53269 (0.56152) Boundary_loss: 0.013079 (0.013090) Loss: 0.54577 (0.57461) +2025-08-22,10:11:30 | INFO | Train Epoch: 4 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.762 Boundary Ratio: 0.101 Contrastive_loss: 0.58027 (0.56155) Boundary_loss: 0.013161 (0.013090) Loss: 0.59343 (0.57464) +2025-08-22,10:12:29 | INFO | Train Epoch: 4 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.52648 (0.56148) Boundary_loss: 0.013054 (0.013090) Loss: 0.53953 (0.57457) +2025-08-22,10:13:28 | INFO | Train Epoch: 4 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.56126 (0.56148) Boundary_loss: 0.012996 (0.013090) Loss: 0.57425 (0.57457) +2025-08-22,10:14:27 | INFO | Train Epoch: 4 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.55639 (0.56147) Boundary_loss: 0.013196 (0.013090) Loss: 0.56958 (0.57456) +2025-08-22,10:15:25 | INFO | Train Epoch: 4 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.54322 (0.56144) Boundary_loss: 0.012938 (0.013090) Loss: 0.55616 (0.57453) +2025-08-22,10:16:24 | INFO | Train Epoch: 4 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.51000 (0.56133) Boundary_loss: 0.013109 (0.013090) Loss: 0.52311 (0.57442) +2025-08-22,10:17:23 | INFO | Train Epoch: 4 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.61040 (0.56143) Boundary_loss: 0.013098 (0.013090) Loss: 0.62350 (0.57452) +2025-08-22,10:18:22 | INFO | Train Epoch: 4 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.637 Boundary Ratio: 0.100 Contrastive_loss: 0.51542 (0.56134) Boundary_loss: 0.013069 (0.013090) Loss: 0.52849 (0.57443) +2025-08-22,10:19:21 | INFO | Train Epoch: 4 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.54752 (0.56131) Boundary_loss: 0.013096 (0.013090) Loss: 0.56061 (0.57440) +2025-08-22,10:20:19 | INFO | Train Epoch: 4 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 0.48313 (0.56116) Boundary_loss: 0.013158 (0.013090) Loss: 0.49629 (0.57425) +2025-08-22,10:21:18 | INFO | Train Epoch: 4 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.54709 (0.56113) Boundary_loss: 0.013037 (0.013090) Loss: 0.56012 (0.57422) +2025-08-22,10:22:17 | INFO | Train Epoch: 4 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.47191 (0.56095) Boundary_loss: 0.013065 (0.013090) Loss: 0.48498 (0.57404) +2025-08-22,10:23:16 | INFO | Train Epoch: 4 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.59781 (0.56103) Boundary_loss: 0.012967 (0.013090) Loss: 0.61078 (0.57412) +2025-08-22,10:24:15 | INFO | Train Epoch: 4 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.46745 (0.56084) Boundary_loss: 0.013004 (0.013090) Loss: 0.48046 (0.57393) +2025-08-22,10:25:14 | INFO | Train Epoch: 4 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.54809 (0.56082) Boundary_loss: 0.013047 (0.013089) Loss: 0.56114 (0.57391) +2025-08-22,10:26:12 | INFO | Train Epoch: 4 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.56106 (0.56082) Boundary_loss: 0.013166 (0.013090) Loss: 0.57422 (0.57391) +2025-08-22,10:27:11 | INFO | Train Epoch: 4 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.53685 (0.56077) Boundary_loss: 0.012979 (0.013089) Loss: 0.54983 (0.57386) +2025-08-22,10:28:10 | INFO | Train Epoch: 4 [26163712/26365952 (99%)] Avg Boundaries (per batch): 18.941 Boundary Ratio: 0.097 Contrastive_loss: 0.52941 (0.56071) Boundary_loss: 0.012988 (0.013089) Loss: 0.54240 (0.57380) +2025-08-22,10:29:09 | INFO | Train Epoch: 4 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.54619 (0.56068) Boundary_loss: 0.013039 (0.013089) Loss: 0.55923 (0.57377) +2025-08-22,10:30:08 | INFO | Train Epoch: 4 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.61292 (0.56078) Boundary_loss: 0.012998 (0.013089) Loss: 0.62591 (0.57387) +2025-08-22,10:31:07 | INFO | Train Epoch: 4 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.46089 (0.56059) Boundary_loss: 0.013090 (0.013089) Loss: 0.47398 (0.57368) +2025-08-22,10:32:02 | INFO | Train Epoch: 4 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.48964 (0.56045) Boundary_loss: 0.013003 (0.013089) Loss: 0.50264 (0.57354) +2025-08-22,10:32:02 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-22,10:32:02 | INFO | [Epoch 4] Average Step Time: 0.592s | Average GPU Memory: 33.5 GB +2025-08-22,10:32:02 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-22,10:32:02 | INFO | Starting zero-shot imagenet. +2025-08-22,10:32:02 | INFO | Building zero-shot classifier +2025-08-22,10:32:12 | INFO | Using classifier +2025-08-22,10:32:55 | INFO | Finished zero-shot imagenet. +2025-08-22,10:32:55 | INFO | Eval Epoch: 5 imagenet-zeroshot-val-top1: 0.2468 imagenet-zeroshot-val-top5: 0.4903 +2025-08-22,10:32:57 | INFO | Start epoch 5 +2025-08-22,10:32:59 | INFO | Train Epoch: 5 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.52544 (0.52544) Boundary_loss: 0.013159 (0.013159) Loss: 0.53860 (0.53860) +2025-08-22,10:33:58 | INFO | Train Epoch: 5 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.56079 (0.54312) Boundary_loss: 0.013028 (0.013094) Loss: 0.57382 (0.55621) +2025-08-22,10:34:57 | INFO | Train Epoch: 5 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.60325 (0.56316) Boundary_loss: 0.013033 (0.013073) Loss: 0.61629 (0.57624) +2025-08-22,10:35:56 | INFO | Train Epoch: 5 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.49487 (0.54609) Boundary_loss: 0.013032 (0.013063) Loss: 0.50790 (0.55915) +2025-08-22,10:36:55 | INFO | Train Epoch: 5 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 18.895 Boundary Ratio: 0.096 Contrastive_loss: 0.49967 (0.53680) Boundary_loss: 0.013142 (0.013079) Loss: 0.51281 (0.54988) +2025-08-22,10:37:53 | INFO | Train Epoch: 5 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 18.773 Boundary Ratio: 0.096 Contrastive_loss: 0.62030 (0.55072) Boundary_loss: 0.013186 (0.013097) Loss: 0.63349 (0.56382) +2025-08-22,10:38:52 | INFO | Train Epoch: 5 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.52631 (0.54723) Boundary_loss: 0.012992 (0.013082) Loss: 0.53930 (0.56032) +2025-08-22,10:39:51 | INFO | Train Epoch: 5 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 0.54533 (0.54700) Boundary_loss: 0.013162 (0.013092) Loss: 0.55850 (0.56009) +2025-08-22,10:40:50 | INFO | Train Epoch: 5 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.49304 (0.54100) Boundary_loss: 0.013088 (0.013091) Loss: 0.50612 (0.55409) +2025-08-22,10:41:49 | INFO | Train Epoch: 5 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.49199 (0.53610) Boundary_loss: 0.013024 (0.013085) Loss: 0.50501 (0.54918) +2025-08-22,10:42:48 | INFO | Train Epoch: 5 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.48057 (0.53105) Boundary_loss: 0.012953 (0.013073) Loss: 0.49352 (0.54412) +2025-08-22,10:43:47 | INFO | Train Epoch: 5 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.023 Boundary Ratio: 0.097 Contrastive_loss: 0.51390 (0.52962) Boundary_loss: 0.013184 (0.013082) Loss: 0.52708 (0.54270) +2025-08-22,10:44:46 | INFO | Train Epoch: 5 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.49508 (0.52696) Boundary_loss: 0.013026 (0.013078) Loss: 0.50811 (0.54004) +2025-08-22,10:45:44 | INFO | Train Epoch: 5 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.46338 (0.52242) Boundary_loss: 0.012940 (0.013068) Loss: 0.47632 (0.53549) +2025-08-22,10:46:43 | INFO | Train Epoch: 5 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.53155 (0.52303) Boundary_loss: 0.012963 (0.013061) Loss: 0.54452 (0.53609) +2025-08-22,10:47:42 | INFO | Train Epoch: 5 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.53158 (0.52357) Boundary_loss: 0.012955 (0.013054) Loss: 0.54454 (0.53662) +2025-08-22,10:48:41 | INFO | Train Epoch: 5 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.46077 (0.51987) Boundary_loss: 0.012959 (0.013049) Loss: 0.47372 (0.53292) +2025-08-22,10:49:40 | INFO | Train Epoch: 5 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 0.48550 (0.51796) Boundary_loss: 0.013143 (0.013054) Loss: 0.49864 (0.53102) +2025-08-22,10:50:39 | INFO | Train Epoch: 5 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.44007 (0.51386) Boundary_loss: 0.012994 (0.013051) Loss: 0.45306 (0.52691) +2025-08-22,10:51:38 | INFO | Train Epoch: 5 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.701 Boundary Ratio: 0.101 Contrastive_loss: 0.46558 (0.51145) Boundary_loss: 0.012962 (0.013046) Loss: 0.47854 (0.52449) +2025-08-22,10:52:37 | INFO | Train Epoch: 5 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 18.893 Boundary Ratio: 0.096 Contrastive_loss: 0.48190 (0.51004) Boundary_loss: 0.013023 (0.013045) Loss: 0.49493 (0.52309) +2025-08-22,10:53:36 | INFO | Train Epoch: 5 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.49514 (0.50936) Boundary_loss: 0.012970 (0.013042) Loss: 0.50811 (0.52241) +2025-08-22,10:54:34 | INFO | Train Epoch: 5 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.43069 (0.50594) Boundary_loss: 0.013023 (0.013041) Loss: 0.44371 (0.51898) +2025-08-22,10:55:33 | INFO | Train Epoch: 5 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.48096 (0.50490) Boundary_loss: 0.012970 (0.013038) Loss: 0.49393 (0.51794) +2025-08-22,10:56:32 | INFO | Train Epoch: 5 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 0.43902 (0.50227) Boundary_loss: 0.012960 (0.013035) Loss: 0.45198 (0.51530) +2025-08-22,10:57:31 | INFO | Train Epoch: 5 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.41793 (0.49902) Boundary_loss: 0.013113 (0.013038) Loss: 0.43104 (0.51206) +2025-08-22,10:58:30 | INFO | Train Epoch: 5 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.39934 (0.49533) Boundary_loss: 0.013015 (0.013037) Loss: 0.41235 (0.50837) +2025-08-22,10:59:29 | INFO | Train Epoch: 5 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.47822 (0.49472) Boundary_loss: 0.012889 (0.013032) Loss: 0.49111 (0.50775) +2025-08-22,11:00:28 | INFO | Train Epoch: 5 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.53087 (0.49597) Boundary_loss: 0.013051 (0.013032) Loss: 0.54392 (0.50900) +2025-08-22,11:01:27 | INFO | Train Epoch: 5 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 18.961 Boundary Ratio: 0.097 Contrastive_loss: 0.54457 (0.49759) Boundary_loss: 0.013053 (0.013033) Loss: 0.55762 (0.51062) +2025-08-22,11:02:25 | INFO | Train Epoch: 5 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 18.984 Boundary Ratio: 0.097 Contrastive_loss: 0.43717 (0.49564) Boundary_loss: 0.013020 (0.013033) Loss: 0.45019 (0.50867) +2025-08-22,11:03:24 | INFO | Train Epoch: 5 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.54936 (0.49732) Boundary_loss: 0.013060 (0.013033) Loss: 0.56242 (0.51035) +2025-08-22,11:04:23 | INFO | Train Epoch: 5 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 18.900 Boundary Ratio: 0.096 Contrastive_loss: 0.47130 (0.49653) Boundary_loss: 0.013020 (0.013033) Loss: 0.48432 (0.50956) +2025-08-22,11:05:22 | INFO | Train Epoch: 5 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.44902 (0.49513) Boundary_loss: 0.012924 (0.013030) Loss: 0.46194 (0.50816) +2025-08-22,11:06:21 | INFO | Train Epoch: 5 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.39245 (0.49220) Boundary_loss: 0.013157 (0.013034) Loss: 0.40560 (0.50523) +2025-08-22,11:07:20 | INFO | Train Epoch: 5 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.47619 (0.49175) Boundary_loss: 0.013121 (0.013036) Loss: 0.48931 (0.50479) +2025-08-22,11:08:19 | INFO | Train Epoch: 5 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 18.965 Boundary Ratio: 0.097 Contrastive_loss: 0.46797 (0.49111) Boundary_loss: 0.013159 (0.013039) Loss: 0.48113 (0.50415) +2025-08-22,11:09:18 | INFO | Train Epoch: 5 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.46331 (0.49038) Boundary_loss: 0.013027 (0.013039) Loss: 0.47634 (0.50342) +2025-08-22,11:10:17 | INFO | Train Epoch: 5 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.36842 (0.48725) Boundary_loss: 0.012985 (0.013038) Loss: 0.38141 (0.50029) +2025-08-22,11:11:15 | INFO | Train Epoch: 5 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.48132 (0.48710) Boundary_loss: 0.013157 (0.013041) Loss: 0.49448 (0.50014) +2025-08-22,11:12:14 | INFO | Train Epoch: 5 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.49243 (0.48723) Boundary_loss: 0.013053 (0.013041) Loss: 0.50548 (0.50027) +2025-08-22,11:13:13 | INFO | Train Epoch: 5 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.53354 (0.48833) Boundary_loss: 0.013076 (0.013042) Loss: 0.54662 (0.50138) +2025-08-22,11:14:12 | INFO | Train Epoch: 5 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.42692 (0.48691) Boundary_loss: 0.013084 (0.013043) Loss: 0.44001 (0.49995) +2025-08-22,11:15:11 | INFO | Train Epoch: 5 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.47498 (0.48664) Boundary_loss: 0.013159 (0.013045) Loss: 0.48814 (0.49968) +2025-08-22,11:16:10 | INFO | Train Epoch: 5 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.668 Boundary Ratio: 0.100 Contrastive_loss: 0.55590 (0.48817) Boundary_loss: 0.013161 (0.013048) Loss: 0.56906 (0.50122) +2025-08-22,11:17:09 | INFO | Train Epoch: 5 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.45420 (0.48744) Boundary_loss: 0.013110 (0.013049) Loss: 0.46730 (0.50049) +2025-08-22,11:18:08 | INFO | Train Epoch: 5 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.49580 (0.48761) Boundary_loss: 0.013195 (0.013052) Loss: 0.50900 (0.50067) +2025-08-22,11:19:06 | INFO | Train Epoch: 5 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.56734 (0.48928) Boundary_loss: 0.012998 (0.013051) Loss: 0.58034 (0.50233) +2025-08-22,11:20:05 | INFO | Train Epoch: 5 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.51246 (0.48975) Boundary_loss: 0.013111 (0.013052) Loss: 0.52557 (0.50280) +2025-08-22,11:21:04 | INFO | Train Epoch: 5 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.48047 (0.48956) Boundary_loss: 0.013162 (0.013055) Loss: 0.49363 (0.50262) +2025-08-22,11:22:03 | INFO | Train Epoch: 5 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.31996 (0.48624) Boundary_loss: 0.013097 (0.013055) Loss: 0.33306 (0.49929) +2025-08-22,11:23:02 | INFO | Train Epoch: 5 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.53347 (0.48715) Boundary_loss: 0.013091 (0.013056) Loss: 0.54657 (0.50020) +2025-08-22,11:24:01 | INFO | Train Epoch: 5 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.46052 (0.48664) Boundary_loss: 0.012906 (0.013053) Loss: 0.47342 (0.49970) +2025-08-22,11:25:00 | INFO | Train Epoch: 5 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.48735 (0.48666) Boundary_loss: 0.013001 (0.013052) Loss: 0.50036 (0.49971) +2025-08-22,11:25:59 | INFO | Train Epoch: 5 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 18.727 Boundary Ratio: 0.096 Contrastive_loss: 0.51443 (0.48716) Boundary_loss: 0.013156 (0.013054) Loss: 0.52758 (0.50022) +2025-08-22,11:26:58 | INFO | Train Epoch: 5 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.50202 (0.48743) Boundary_loss: 0.013021 (0.013054) Loss: 0.51504 (0.50048) +2025-08-22,11:27:57 | INFO | Train Epoch: 5 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.38783 (0.48568) Boundary_loss: 0.013100 (0.013054) Loss: 0.40093 (0.49873) +2025-08-22,11:28:56 | INFO | Train Epoch: 5 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.41983 (0.48454) Boundary_loss: 0.013068 (0.013055) Loss: 0.43290 (0.49760) +2025-08-22,11:29:55 | INFO | Train Epoch: 5 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.48320 (0.48452) Boundary_loss: 0.013059 (0.013055) Loss: 0.49626 (0.49758) +2025-08-22,11:30:54 | INFO | Train Epoch: 5 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.55450 (0.48569) Boundary_loss: 0.013013 (0.013054) Loss: 0.56752 (0.49874) +2025-08-22,11:31:52 | INFO | Train Epoch: 5 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.48378 (0.48566) Boundary_loss: 0.012991 (0.013053) Loss: 0.49677 (0.49871) +2025-08-22,11:32:51 | INFO | Train Epoch: 5 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.48516 (0.48565) Boundary_loss: 0.013037 (0.013053) Loss: 0.49820 (0.49870) +2025-08-22,11:33:50 | INFO | Train Epoch: 5 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.43094 (0.48478) Boundary_loss: 0.013023 (0.013052) Loss: 0.44397 (0.49783) +2025-08-22,11:34:49 | INFO | Train Epoch: 5 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.47533 (0.48463) Boundary_loss: 0.013070 (0.013053) Loss: 0.48840 (0.49768) +2025-08-22,11:35:48 | INFO | Train Epoch: 5 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.42133 (0.48366) Boundary_loss: 0.013034 (0.013052) Loss: 0.43436 (0.49671) +2025-08-22,11:36:47 | INFO | Train Epoch: 5 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 18.961 Boundary Ratio: 0.097 Contrastive_loss: 0.48975 (0.48375) Boundary_loss: 0.013001 (0.013051) Loss: 0.50275 (0.49680) +2025-08-22,11:37:46 | INFO | Train Epoch: 5 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.596 Boundary Ratio: 0.100 Contrastive_loss: 0.50550 (0.48407) Boundary_loss: 0.013038 (0.013051) Loss: 0.51853 (0.49713) +2025-08-22,11:38:45 | INFO | Train Epoch: 5 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 0.45148 (0.48360) Boundary_loss: 0.013104 (0.013052) Loss: 0.46458 (0.49665) +2025-08-22,11:39:43 | INFO | Train Epoch: 5 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.42569 (0.48276) Boundary_loss: 0.013051 (0.013052) Loss: 0.43874 (0.49581) +2025-08-22,11:40:42 | INFO | Train Epoch: 5 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.49719 (0.48296) Boundary_loss: 0.013161 (0.013054) Loss: 0.51035 (0.49602) +2025-08-22,11:41:41 | INFO | Train Epoch: 5 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 0.41085 (0.48195) Boundary_loss: 0.013062 (0.013054) Loss: 0.42391 (0.49500) +2025-08-22,11:42:40 | INFO | Train Epoch: 5 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.45889 (0.48163) Boundary_loss: 0.013083 (0.013054) Loss: 0.47197 (0.49468) +2025-08-22,11:43:39 | INFO | Train Epoch: 5 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.688 Boundary Ratio: 0.100 Contrastive_loss: 0.45483 (0.48126) Boundary_loss: 0.013128 (0.013055) Loss: 0.46796 (0.49431) +2025-08-22,11:44:38 | INFO | Train Epoch: 5 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.51638 (0.48173) Boundary_loss: 0.013055 (0.013055) Loss: 0.52944 (0.49479) +2025-08-22,11:45:37 | INFO | Train Epoch: 5 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.51789 (0.48222) Boundary_loss: 0.013121 (0.013056) Loss: 0.53101 (0.49527) +2025-08-22,11:46:36 | INFO | Train Epoch: 5 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.41524 (0.48133) Boundary_loss: 0.013050 (0.013056) Loss: 0.42829 (0.49439) +2025-08-22,11:47:35 | INFO | Train Epoch: 5 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.58571 (0.48269) Boundary_loss: 0.013104 (0.013057) Loss: 0.59881 (0.49575) +2025-08-22,11:48:33 | INFO | Train Epoch: 5 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.51444 (0.48310) Boundary_loss: 0.012975 (0.013056) Loss: 0.52741 (0.49615) +2025-08-22,11:49:32 | INFO | Train Epoch: 5 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.49161 (0.48321) Boundary_loss: 0.012959 (0.013054) Loss: 0.50457 (0.49626) +2025-08-22,11:50:31 | INFO | Train Epoch: 5 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.51365 (0.48359) Boundary_loss: 0.013123 (0.013055) Loss: 0.52678 (0.49664) +2025-08-22,11:51:30 | INFO | Train Epoch: 5 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.50740 (0.48388) Boundary_loss: 0.012997 (0.013054) Loss: 0.52040 (0.49693) +2025-08-22,11:52:29 | INFO | Train Epoch: 5 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.47916 (0.48382) Boundary_loss: 0.013068 (0.013055) Loss: 0.49223 (0.49688) +2025-08-22,11:53:28 | INFO | Train Epoch: 5 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.52095 (0.48427) Boundary_loss: 0.013090 (0.013055) Loss: 0.53404 (0.49732) +2025-08-22,11:54:27 | INFO | Train Epoch: 5 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 18.859 Boundary Ratio: 0.096 Contrastive_loss: 0.46875 (0.48408) Boundary_loss: 0.013168 (0.013056) Loss: 0.48192 (0.49714) +2025-08-22,11:55:26 | INFO | Train Epoch: 5 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.45622 (0.48376) Boundary_loss: 0.012945 (0.013055) Loss: 0.46916 (0.49681) +2025-08-22,11:56:25 | INFO | Train Epoch: 5 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.48194 (0.48374) Boundary_loss: 0.012982 (0.013054) Loss: 0.49492 (0.49679) +2025-08-22,11:57:23 | INFO | Train Epoch: 5 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.52748 (0.48424) Boundary_loss: 0.013027 (0.013054) Loss: 0.54051 (0.49729) +2025-08-22,11:58:22 | INFO | Train Epoch: 5 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.48345 (0.48423) Boundary_loss: 0.012966 (0.013053) Loss: 0.49642 (0.49728) +2025-08-22,11:59:21 | INFO | Train Epoch: 5 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.50662 (0.48448) Boundary_loss: 0.012941 (0.013052) Loss: 0.51956 (0.49753) +2025-08-22,12:00:20 | INFO | Train Epoch: 5 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.56315 (0.48536) Boundary_loss: 0.013020 (0.013051) Loss: 0.57617 (0.49841) +2025-08-22,12:01:19 | INFO | Train Epoch: 5 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.55524 (0.48612) Boundary_loss: 0.013050 (0.013051) Loss: 0.56829 (0.49917) +2025-08-22,12:02:18 | INFO | Train Epoch: 5 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.55287 (0.48685) Boundary_loss: 0.012917 (0.013050) Loss: 0.56578 (0.49990) +2025-08-22,12:03:17 | INFO | Train Epoch: 5 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.38010 (0.48570) Boundary_loss: 0.013166 (0.013051) Loss: 0.39327 (0.49875) +2025-08-22,12:04:16 | INFO | Train Epoch: 5 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.45167 (0.48534) Boundary_loss: 0.013103 (0.013052) Loss: 0.46478 (0.49839) +2025-08-22,12:05:15 | INFO | Train Epoch: 5 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.45563 (0.48503) Boundary_loss: 0.013167 (0.013053) Loss: 0.46880 (0.49808) +2025-08-22,12:06:14 | INFO | Train Epoch: 5 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.41212 (0.48427) Boundary_loss: 0.013009 (0.013052) Loss: 0.42513 (0.49732) +2025-08-22,12:07:12 | INFO | Train Epoch: 5 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.45301 (0.48394) Boundary_loss: 0.013099 (0.013053) Loss: 0.46611 (0.49700) +2025-08-22,12:08:11 | INFO | Train Epoch: 5 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.47929 (0.48390) Boundary_loss: 0.012965 (0.013052) Loss: 0.49225 (0.49695) +2025-08-22,12:09:10 | INFO | Train Epoch: 5 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.59470 (0.48502) Boundary_loss: 0.013022 (0.013052) Loss: 0.60772 (0.49807) +2025-08-22,12:10:09 | INFO | Train Epoch: 5 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.47268 (0.48489) Boundary_loss: 0.013009 (0.013051) Loss: 0.48569 (0.49794) +2025-08-22,12:11:08 | INFO | Train Epoch: 5 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.43690 (0.48442) Boundary_loss: 0.013051 (0.013051) Loss: 0.44995 (0.49747) +2025-08-22,12:12:07 | INFO | Train Epoch: 5 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.52055 (0.48477) Boundary_loss: 0.013074 (0.013051) Loss: 0.53362 (0.49782) +2025-08-22,12:13:06 | INFO | Train Epoch: 5 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.50341 (0.48495) Boundary_loss: 0.013050 (0.013051) Loss: 0.51646 (0.49800) +2025-08-22,12:14:05 | INFO | Train Epoch: 5 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.668 Boundary Ratio: 0.100 Contrastive_loss: 0.58163 (0.48588) Boundary_loss: 0.013134 (0.013052) Loss: 0.59476 (0.49893) +2025-08-22,12:15:04 | INFO | Train Epoch: 5 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.39821 (0.48505) Boundary_loss: 0.013101 (0.013053) Loss: 0.41131 (0.49810) +2025-08-22,12:16:03 | INFO | Train Epoch: 5 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.45807 (0.48479) Boundary_loss: 0.013148 (0.013054) Loss: 0.47122 (0.49785) +2025-08-22,12:17:01 | INFO | Train Epoch: 5 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.51632 (0.48509) Boundary_loss: 0.012871 (0.013052) Loss: 0.52919 (0.49814) +2025-08-22,12:18:00 | INFO | Train Epoch: 5 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 18.934 Boundary Ratio: 0.097 Contrastive_loss: 0.50582 (0.48528) Boundary_loss: 0.013107 (0.013052) Loss: 0.51893 (0.49833) +2025-08-22,12:18:59 | INFO | Train Epoch: 5 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.40651 (0.48456) Boundary_loss: 0.013037 (0.013052) Loss: 0.41955 (0.49761) +2025-08-22,12:19:58 | INFO | Train Epoch: 5 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.41711 (0.48394) Boundary_loss: 0.013048 (0.013052) Loss: 0.43016 (0.49700) +2025-08-22,12:20:57 | INFO | Train Epoch: 5 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.49213 (0.48402) Boundary_loss: 0.013162 (0.013053) Loss: 0.50529 (0.49707) +2025-08-22,12:21:56 | INFO | Train Epoch: 5 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.48239 (0.48400) Boundary_loss: 0.013072 (0.013053) Loss: 0.49546 (0.49706) +2025-08-22,12:22:55 | INFO | Train Epoch: 5 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.43810 (0.48360) Boundary_loss: 0.013046 (0.013053) Loss: 0.45114 (0.49665) +2025-08-22,12:23:54 | INFO | Train Epoch: 5 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 18.900 Boundary Ratio: 0.096 Contrastive_loss: 0.54431 (0.48413) Boundary_loss: 0.013004 (0.013053) Loss: 0.55732 (0.49718) +2025-08-22,12:24:52 | INFO | Train Epoch: 5 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.47383 (0.48404) Boundary_loss: 0.013011 (0.013053) Loss: 0.48684 (0.49709) +2025-08-22,12:25:51 | INFO | Train Epoch: 5 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.44512 (0.48370) Boundary_loss: 0.013085 (0.013053) Loss: 0.45821 (0.49676) +2025-08-22,12:26:50 | INFO | Train Epoch: 5 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.43517 (0.48329) Boundary_loss: 0.013024 (0.013053) Loss: 0.44820 (0.49634) +2025-08-22,12:27:49 | INFO | Train Epoch: 5 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.47425 (0.48321) Boundary_loss: 0.012988 (0.013052) Loss: 0.48723 (0.49626) +2025-08-22,12:28:48 | INFO | Train Epoch: 5 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.59599 (0.48416) Boundary_loss: 0.013133 (0.013053) Loss: 0.60913 (0.49721) +2025-08-22,12:29:47 | INFO | Train Epoch: 5 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.46413 (0.48399) Boundary_loss: 0.013164 (0.013054) Loss: 0.47729 (0.49705) +2025-08-22,12:30:46 | INFO | Train Epoch: 5 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.41528 (0.48343) Boundary_loss: 0.012986 (0.013053) Loss: 0.42827 (0.49648) +2025-08-22,12:31:44 | INFO | Train Epoch: 5 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.49939 (0.48356) Boundary_loss: 0.012926 (0.013052) Loss: 0.51232 (0.49661) +2025-08-22,12:32:43 | INFO | Train Epoch: 5 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.54033 (0.48402) Boundary_loss: 0.013078 (0.013052) Loss: 0.55341 (0.49707) +2025-08-22,12:33:42 | INFO | Train Epoch: 5 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.56036 (0.48463) Boundary_loss: 0.013068 (0.013052) Loss: 0.57343 (0.49769) +2025-08-22,12:34:41 | INFO | Train Epoch: 5 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.46092 (0.48444) Boundary_loss: 0.012937 (0.013051) Loss: 0.47386 (0.49750) +2025-08-22,12:35:39 | INFO | Train Epoch: 5 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.47129 (0.48434) Boundary_loss: 0.013053 (0.013051) Loss: 0.48434 (0.49739) +2025-08-22,12:36:38 | INFO | Train Epoch: 5 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.41141 (0.48377) Boundary_loss: 0.013164 (0.013052) Loss: 0.42458 (0.49682) +2025-08-22,12:37:37 | INFO | Train Epoch: 5 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 18.871 Boundary Ratio: 0.096 Contrastive_loss: 0.45735 (0.48356) Boundary_loss: 0.013046 (0.013052) Loss: 0.47040 (0.49661) +2025-08-22,12:38:36 | INFO | Train Epoch: 5 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 18.930 Boundary Ratio: 0.097 Contrastive_loss: 0.55926 (0.48415) Boundary_loss: 0.013073 (0.013052) Loss: 0.57234 (0.49720) +2025-08-22,12:39:35 | INFO | Train Epoch: 5 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.45607 (0.48393) Boundary_loss: 0.012986 (0.013052) Loss: 0.46905 (0.49698) +2025-08-22,12:40:34 | INFO | Train Epoch: 5 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.58031 (0.48467) Boundary_loss: 0.013124 (0.013052) Loss: 0.59343 (0.49772) +2025-08-22,12:41:32 | INFO | Train Epoch: 5 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.43987 (0.48433) Boundary_loss: 0.012917 (0.013051) Loss: 0.45279 (0.49738) +2025-08-22,12:42:31 | INFO | Train Epoch: 5 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.51040 (0.48452) Boundary_loss: 0.012998 (0.013051) Loss: 0.52339 (0.49757) +2025-08-22,12:43:30 | INFO | Train Epoch: 5 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.64099 (0.48569) Boundary_loss: 0.012895 (0.013050) Loss: 0.65389 (0.49874) +2025-08-22,12:44:29 | INFO | Train Epoch: 5 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.52190 (0.48596) Boundary_loss: 0.012953 (0.013049) Loss: 0.53485 (0.49901) +2025-08-22,12:45:28 | INFO | Train Epoch: 5 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 0.46195 (0.48578) Boundary_loss: 0.013106 (0.013050) Loss: 0.47506 (0.49883) +2025-08-22,12:46:26 | INFO | Train Epoch: 5 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 18.920 Boundary Ratio: 0.097 Contrastive_loss: 0.44397 (0.48548) Boundary_loss: 0.013137 (0.013050) Loss: 0.45710 (0.49853) +2025-08-22,12:47:25 | INFO | Train Epoch: 5 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.47005 (0.48536) Boundary_loss: 0.012923 (0.013049) Loss: 0.48297 (0.49841) +2025-08-22,12:48:24 | INFO | Train Epoch: 5 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.51910 (0.48561) Boundary_loss: 0.012965 (0.013049) Loss: 0.53206 (0.49866) +2025-08-22,12:49:23 | INFO | Train Epoch: 5 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.45757 (0.48541) Boundary_loss: 0.012991 (0.013048) Loss: 0.47056 (0.49846) +2025-08-22,12:50:22 | INFO | Train Epoch: 5 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.49382 (0.48547) Boundary_loss: 0.013174 (0.013049) Loss: 0.50700 (0.49852) +2025-08-22,12:51:20 | INFO | Train Epoch: 5 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.40788 (0.48492) Boundary_loss: 0.013012 (0.013049) Loss: 0.42089 (0.49797) +2025-08-22,12:52:19 | INFO | Train Epoch: 5 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 18.861 Boundary Ratio: 0.096 Contrastive_loss: 0.41189 (0.48441) Boundary_loss: 0.013093 (0.013049) Loss: 0.42498 (0.49746) +2025-08-22,12:53:18 | INFO | Train Epoch: 5 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 0.47957 (0.48438) Boundary_loss: 0.013075 (0.013049) Loss: 0.49264 (0.49743) +2025-08-22,12:54:17 | INFO | Train Epoch: 5 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.47518 (0.48431) Boundary_loss: 0.012984 (0.013049) Loss: 0.48817 (0.49736) +2025-08-22,12:55:15 | INFO | Train Epoch: 5 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.41995 (0.48387) Boundary_loss: 0.012849 (0.013048) Loss: 0.43280 (0.49692) +2025-08-22,12:56:14 | INFO | Train Epoch: 5 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.37551 (0.48313) Boundary_loss: 0.012993 (0.013047) Loss: 0.38850 (0.49618) +2025-08-22,12:57:13 | INFO | Train Epoch: 5 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 18.934 Boundary Ratio: 0.097 Contrastive_loss: 0.43914 (0.48284) Boundary_loss: 0.013155 (0.013048) Loss: 0.45229 (0.49589) +2025-08-22,12:58:12 | INFO | Train Epoch: 5 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.53804 (0.48321) Boundary_loss: 0.013036 (0.013048) Loss: 0.55108 (0.49626) +2025-08-22,12:59:11 | INFO | Train Epoch: 5 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.40810 (0.48271) Boundary_loss: 0.012962 (0.013047) Loss: 0.42106 (0.49575) +2025-08-22,13:00:09 | INFO | Train Epoch: 5 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.54231 (0.48310) Boundary_loss: 0.013002 (0.013047) Loss: 0.55531 (0.49615) +2025-08-22,13:01:08 | INFO | Train Epoch: 5 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.49327 (0.48317) Boundary_loss: 0.013059 (0.013047) Loss: 0.50633 (0.49622) +2025-08-22,13:02:07 | INFO | Train Epoch: 5 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 18.965 Boundary Ratio: 0.097 Contrastive_loss: 0.62753 (0.48411) Boundary_loss: 0.013064 (0.013047) Loss: 0.64060 (0.49716) +2025-08-22,13:03:05 | INFO | Train Epoch: 5 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.37514 (0.48340) Boundary_loss: 0.013021 (0.013047) Loss: 0.38816 (0.49645) +2025-08-22,13:04:04 | INFO | Train Epoch: 5 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.52558 (0.48368) Boundary_loss: 0.012999 (0.013047) Loss: 0.53858 (0.49672) +2025-08-22,13:05:03 | INFO | Train Epoch: 5 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.43741 (0.48338) Boundary_loss: 0.012959 (0.013046) Loss: 0.45037 (0.49643) +2025-08-22,13:06:02 | INFO | Train Epoch: 5 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.45310 (0.48319) Boundary_loss: 0.012980 (0.013046) Loss: 0.46608 (0.49623) +2025-08-22,13:07:01 | INFO | Train Epoch: 5 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.45280 (0.48300) Boundary_loss: 0.012949 (0.013045) Loss: 0.46575 (0.49604) +2025-08-22,13:07:59 | INFO | Train Epoch: 5 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.57891 (0.48360) Boundary_loss: 0.013055 (0.013045) Loss: 0.59197 (0.49664) +2025-08-22,13:08:58 | INFO | Train Epoch: 5 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.46581 (0.48349) Boundary_loss: 0.013109 (0.013046) Loss: 0.47892 (0.49653) +2025-08-22,13:09:57 | INFO | Train Epoch: 5 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.52577 (0.48375) Boundary_loss: 0.012962 (0.013045) Loss: 0.53873 (0.49679) +2025-08-22,13:10:56 | INFO | Train Epoch: 5 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.42738 (0.48340) Boundary_loss: 0.013140 (0.013046) Loss: 0.44052 (0.49645) +2025-08-22,13:11:55 | INFO | Train Epoch: 5 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.49224 (0.48346) Boundary_loss: 0.013004 (0.013045) Loss: 0.50525 (0.49650) +2025-08-22,13:12:53 | INFO | Train Epoch: 5 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.44504 (0.48322) Boundary_loss: 0.012936 (0.013045) Loss: 0.45797 (0.49627) +2025-08-22,13:13:52 | INFO | Train Epoch: 5 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.40269 (0.48273) Boundary_loss: 0.012963 (0.013044) Loss: 0.41566 (0.49578) +2025-08-22,13:14:51 | INFO | Train Epoch: 5 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.54529 (0.48311) Boundary_loss: 0.013075 (0.013044) Loss: 0.55837 (0.49616) +2025-08-22,13:15:50 | INFO | Train Epoch: 5 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.41276 (0.48269) Boundary_loss: 0.013048 (0.013044) Loss: 0.42580 (0.49573) +2025-08-22,13:16:49 | INFO | Train Epoch: 5 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.752 Boundary Ratio: 0.101 Contrastive_loss: 0.40876 (0.48225) Boundary_loss: 0.013124 (0.013045) Loss: 0.42188 (0.49529) +2025-08-22,13:17:47 | INFO | Train Epoch: 5 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.615 Boundary Ratio: 0.100 Contrastive_loss: 0.54117 (0.48260) Boundary_loss: 0.012930 (0.013044) Loss: 0.55410 (0.49564) +2025-08-22,13:18:46 | INFO | Train Epoch: 5 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.50841 (0.48275) Boundary_loss: 0.013083 (0.013044) Loss: 0.52149 (0.49579) +2025-08-22,13:19:45 | INFO | Train Epoch: 5 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.42761 (0.48243) Boundary_loss: 0.013008 (0.013044) Loss: 0.44062 (0.49547) +2025-08-22,13:20:44 | INFO | Train Epoch: 5 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 0.45303 (0.48226) Boundary_loss: 0.013000 (0.013044) Loss: 0.46603 (0.49530) +2025-08-22,13:21:43 | INFO | Train Epoch: 5 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.44864 (0.48206) Boundary_loss: 0.013104 (0.013044) Loss: 0.46174 (0.49511) +2025-08-22,13:22:41 | INFO | Train Epoch: 5 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.50404 (0.48219) Boundary_loss: 0.013036 (0.013044) Loss: 0.51708 (0.49523) +2025-08-22,13:23:40 | INFO | Train Epoch: 5 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.44881 (0.48200) Boundary_loss: 0.013136 (0.013045) Loss: 0.46195 (0.49504) +2025-08-22,13:24:39 | INFO | Train Epoch: 5 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.37483 (0.48139) Boundary_loss: 0.013040 (0.013045) Loss: 0.38787 (0.49443) +2025-08-22,13:25:38 | INFO | Train Epoch: 5 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.41898 (0.48104) Boundary_loss: 0.013093 (0.013045) Loss: 0.43207 (0.49408) +2025-08-22,13:26:37 | INFO | Train Epoch: 5 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.48966 (0.48108) Boundary_loss: 0.012934 (0.013044) Loss: 0.50259 (0.49413) +2025-08-22,13:27:36 | INFO | Train Epoch: 5 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.54148 (0.48142) Boundary_loss: 0.013151 (0.013045) Loss: 0.55463 (0.49447) +2025-08-22,13:28:34 | INFO | Train Epoch: 5 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.48545 (0.48144) Boundary_loss: 0.012957 (0.013044) Loss: 0.49840 (0.49449) +2025-08-22,13:29:33 | INFO | Train Epoch: 5 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.37699 (0.48087) Boundary_loss: 0.013097 (0.013045) Loss: 0.39009 (0.49391) +2025-08-22,13:30:32 | INFO | Train Epoch: 5 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.47563 (0.48084) Boundary_loss: 0.013043 (0.013045) Loss: 0.48867 (0.49388) +2025-08-22,13:31:31 | INFO | Train Epoch: 5 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.62613 (0.48163) Boundary_loss: 0.013054 (0.013045) Loss: 0.63918 (0.49468) +2025-08-22,13:32:29 | INFO | Train Epoch: 5 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.62499 (0.48241) Boundary_loss: 0.013076 (0.013045) Loss: 0.63807 (0.49546) +2025-08-22,13:33:28 | INFO | Train Epoch: 5 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.44197 (0.48219) Boundary_loss: 0.012932 (0.013044) Loss: 0.45491 (0.49524) +2025-08-22,13:34:27 | INFO | Train Epoch: 5 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.51517 (0.48237) Boundary_loss: 0.013002 (0.013044) Loss: 0.52818 (0.49541) +2025-08-22,13:35:26 | INFO | Train Epoch: 5 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.55112 (0.48274) Boundary_loss: 0.013017 (0.013044) Loss: 0.56414 (0.49578) +2025-08-22,13:36:25 | INFO | Train Epoch: 5 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.48982 (0.48278) Boundary_loss: 0.013077 (0.013044) Loss: 0.50290 (0.49582) +2025-08-22,13:37:24 | INFO | Train Epoch: 5 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.47401 (0.48273) Boundary_loss: 0.012903 (0.013043) Loss: 0.48691 (0.49577) +2025-08-22,13:38:22 | INFO | Train Epoch: 5 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.50047 (0.48282) Boundary_loss: 0.013136 (0.013044) Loss: 0.51360 (0.49587) +2025-08-22,13:39:21 | INFO | Train Epoch: 5 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.47251 (0.48277) Boundary_loss: 0.012964 (0.013044) Loss: 0.48547 (0.49581) +2025-08-22,13:40:20 | INFO | Train Epoch: 5 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.45880 (0.48264) Boundary_loss: 0.012959 (0.013043) Loss: 0.47176 (0.49569) +2025-08-22,13:41:19 | INFO | Train Epoch: 5 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.44854 (0.48247) Boundary_loss: 0.013111 (0.013043) Loss: 0.46165 (0.49551) +2025-08-22,13:42:18 | INFO | Train Epoch: 5 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.607 Boundary Ratio: 0.100 Contrastive_loss: 0.53778 (0.48275) Boundary_loss: 0.013108 (0.013044) Loss: 0.55089 (0.49580) +2025-08-22,13:43:16 | INFO | Train Epoch: 5 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.613 Boundary Ratio: 0.100 Contrastive_loss: 0.45878 (0.48263) Boundary_loss: 0.012907 (0.013043) Loss: 0.47169 (0.49567) +2025-08-22,13:44:15 | INFO | Train Epoch: 5 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.44728 (0.48245) Boundary_loss: 0.012989 (0.013043) Loss: 0.46027 (0.49549) +2025-08-22,13:45:14 | INFO | Train Epoch: 5 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.49168 (0.48250) Boundary_loss: 0.012916 (0.013042) Loss: 0.50460 (0.49554) +2025-08-22,13:46:13 | INFO | Train Epoch: 5 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 0.48254 (0.48250) Boundary_loss: 0.012963 (0.013042) Loss: 0.49550 (0.49554) +2025-08-22,13:47:12 | INFO | Train Epoch: 5 [10138112/26365952 (38%)] Avg Boundaries (per batch): 18.977 Boundary Ratio: 0.097 Contrastive_loss: 0.50058 (0.48259) Boundary_loss: 0.013071 (0.013042) Loss: 0.51365 (0.49563) +2025-08-22,13:48:11 | INFO | Train Epoch: 5 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.45063 (0.48243) Boundary_loss: 0.012949 (0.013041) Loss: 0.46358 (0.49547) +2025-08-22,13:49:09 | INFO | Train Epoch: 5 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.48955 (0.48246) Boundary_loss: 0.013140 (0.013042) Loss: 0.50269 (0.49550) +2025-08-22,13:50:08 | INFO | Train Epoch: 5 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.45802 (0.48234) Boundary_loss: 0.013096 (0.013042) Loss: 0.47112 (0.49538) +2025-08-22,13:51:07 | INFO | Train Epoch: 5 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.44676 (0.48217) Boundary_loss: 0.013064 (0.013042) Loss: 0.45983 (0.49521) +2025-08-22,13:52:06 | INFO | Train Epoch: 5 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.46317 (0.48207) Boundary_loss: 0.012974 (0.013042) Loss: 0.47614 (0.49512) +2025-08-22,13:53:05 | INFO | Train Epoch: 5 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.53928 (0.48235) Boundary_loss: 0.012960 (0.013042) Loss: 0.55224 (0.49539) +2025-08-22,13:54:03 | INFO | Train Epoch: 5 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.60398 (0.48294) Boundary_loss: 0.013029 (0.013041) Loss: 0.61701 (0.49598) +2025-08-22,13:55:02 | INFO | Train Epoch: 5 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.596 Boundary Ratio: 0.100 Contrastive_loss: 0.42343 (0.48266) Boundary_loss: 0.013104 (0.013042) Loss: 0.43653 (0.49570) +2025-08-22,13:56:01 | INFO | Train Epoch: 5 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.50425 (0.48276) Boundary_loss: 0.013010 (0.013042) Loss: 0.51726 (0.49580) +2025-08-22,13:57:00 | INFO | Train Epoch: 5 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.40377 (0.48238) Boundary_loss: 0.013005 (0.013041) Loss: 0.41677 (0.49542) +2025-08-22,13:57:59 | INFO | Train Epoch: 5 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.43766 (0.48217) Boundary_loss: 0.013045 (0.013041) Loss: 0.45071 (0.49521) +2025-08-22,13:58:57 | INFO | Train Epoch: 5 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.39496 (0.48175) Boundary_loss: 0.012995 (0.013041) Loss: 0.40796 (0.49480) +2025-08-22,13:59:56 | INFO | Train Epoch: 5 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.56234 (0.48213) Boundary_loss: 0.013020 (0.013041) Loss: 0.57536 (0.49518) +2025-08-22,14:00:55 | INFO | Train Epoch: 5 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.44829 (0.48198) Boundary_loss: 0.013201 (0.013042) Loss: 0.46149 (0.49502) +2025-08-22,14:01:54 | INFO | Train Epoch: 5 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.63667 (0.48270) Boundary_loss: 0.013023 (0.013042) Loss: 0.64970 (0.49574) +2025-08-22,14:02:53 | INFO | Train Epoch: 5 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.56873 (0.48310) Boundary_loss: 0.013034 (0.013042) Loss: 0.58176 (0.49614) +2025-08-22,14:03:51 | INFO | Train Epoch: 5 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.51483 (0.48325) Boundary_loss: 0.012995 (0.013042) Loss: 0.52783 (0.49629) +2025-08-22,14:04:50 | INFO | Train Epoch: 5 [11059712/26365952 (42%)] Avg Boundaries (per batch): 18.920 Boundary Ratio: 0.097 Contrastive_loss: 0.51454 (0.48339) Boundary_loss: 0.013023 (0.013041) Loss: 0.52757 (0.49643) +2025-08-22,14:05:49 | INFO | Train Epoch: 5 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.51819 (0.48355) Boundary_loss: 0.012982 (0.013041) Loss: 0.53118 (0.49659) +2025-08-22,14:06:48 | INFO | Train Epoch: 5 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.43291 (0.48332) Boundary_loss: 0.013071 (0.013041) Loss: 0.44598 (0.49636) +2025-08-22,14:07:47 | INFO | Train Epoch: 5 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.53018 (0.48353) Boundary_loss: 0.012915 (0.013041) Loss: 0.54310 (0.49657) +2025-08-22,14:08:46 | INFO | Train Epoch: 5 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.43503 (0.48331) Boundary_loss: 0.013029 (0.013041) Loss: 0.44806 (0.49635) +2025-08-22,14:09:44 | INFO | Train Epoch: 5 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.781 Boundary Ratio: 0.101 Contrastive_loss: 0.43171 (0.48308) Boundary_loss: 0.013113 (0.013041) Loss: 0.44482 (0.49612) +2025-08-22,14:10:43 | INFO | Train Epoch: 5 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.40011 (0.48271) Boundary_loss: 0.013024 (0.013041) Loss: 0.41313 (0.49575) +2025-08-22,14:11:42 | INFO | Train Epoch: 5 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.46363 (0.48262) Boundary_loss: 0.012945 (0.013041) Loss: 0.47657 (0.49566) +2025-08-22,14:12:41 | INFO | Train Epoch: 5 [11469312/26365952 (44%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 0.52222 (0.48280) Boundary_loss: 0.013120 (0.013041) Loss: 0.53534 (0.49584) +2025-08-22,14:13:40 | INFO | Train Epoch: 5 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.44756 (0.48264) Boundary_loss: 0.012976 (0.013041) Loss: 0.46053 (0.49568) +2025-08-22,14:14:38 | INFO | Train Epoch: 5 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.57364 (0.48304) Boundary_loss: 0.013213 (0.013041) Loss: 0.58685 (0.49608) +2025-08-22,14:15:37 | INFO | Train Epoch: 5 [11622912/26365952 (44%)] Avg Boundaries (per batch): 18.986 Boundary Ratio: 0.097 Contrastive_loss: 0.45102 (0.48290) Boundary_loss: 0.012986 (0.013041) Loss: 0.46400 (0.49594) +2025-08-22,14:16:36 | INFO | Train Epoch: 5 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.45764 (0.48279) Boundary_loss: 0.013071 (0.013041) Loss: 0.47071 (0.49583) +2025-08-22,14:17:35 | INFO | Train Epoch: 5 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.46959 (0.48274) Boundary_loss: 0.013096 (0.013041) Loss: 0.48268 (0.49578) +2025-08-22,14:18:34 | INFO | Train Epoch: 5 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.52901 (0.48294) Boundary_loss: 0.012985 (0.013041) Loss: 0.54199 (0.49598) +2025-08-22,14:19:33 | INFO | Train Epoch: 5 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.56152 (0.48327) Boundary_loss: 0.013075 (0.013041) Loss: 0.57459 (0.49632) +2025-08-22,14:20:32 | INFO | Train Epoch: 5 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.39908 (0.48291) Boundary_loss: 0.013072 (0.013042) Loss: 0.41215 (0.49595) +2025-08-22,14:21:30 | INFO | Train Epoch: 5 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.46023 (0.48282) Boundary_loss: 0.013076 (0.013042) Loss: 0.47331 (0.49586) +2025-08-22,14:22:29 | INFO | Train Epoch: 5 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.37794 (0.48237) Boundary_loss: 0.012964 (0.013041) Loss: 0.39090 (0.49541) +2025-08-22,14:23:28 | INFO | Train Epoch: 5 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.42408 (0.48212) Boundary_loss: 0.013094 (0.013042) Loss: 0.43717 (0.49516) +2025-08-22,14:24:27 | INFO | Train Epoch: 5 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.41530 (0.48184) Boundary_loss: 0.012900 (0.013041) Loss: 0.42820 (0.49488) +2025-08-22,14:25:26 | INFO | Train Epoch: 5 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.45360 (0.48172) Boundary_loss: 0.012989 (0.013041) Loss: 0.46659 (0.49476) +2025-08-22,14:26:25 | INFO | Train Epoch: 5 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.45819 (0.48162) Boundary_loss: 0.012942 (0.013040) Loss: 0.47113 (0.49466) +2025-08-22,14:27:24 | INFO | Train Epoch: 5 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.46960 (0.48157) Boundary_loss: 0.013002 (0.013040) Loss: 0.48260 (0.49461) +2025-08-22,14:28:22 | INFO | Train Epoch: 5 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.41373 (0.48129) Boundary_loss: 0.012924 (0.013040) Loss: 0.42666 (0.49433) +2025-08-22,14:29:21 | INFO | Train Epoch: 5 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.49451 (0.48135) Boundary_loss: 0.013067 (0.013040) Loss: 0.50758 (0.49439) +2025-08-22,14:30:20 | INFO | Train Epoch: 5 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.611 Boundary Ratio: 0.100 Contrastive_loss: 0.46020 (0.48126) Boundary_loss: 0.013073 (0.013040) Loss: 0.47327 (0.49430) +2025-08-22,14:31:19 | INFO | Train Epoch: 5 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.41502 (0.48099) Boundary_loss: 0.012898 (0.013039) Loss: 0.42792 (0.49403) +2025-08-22,14:32:18 | INFO | Train Epoch: 5 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.55079 (0.48127) Boundary_loss: 0.013075 (0.013040) Loss: 0.56386 (0.49431) +2025-08-22,14:33:17 | INFO | Train Epoch: 5 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.45538 (0.48117) Boundary_loss: 0.013057 (0.013040) Loss: 0.46844 (0.49421) +2025-08-22,14:34:15 | INFO | Train Epoch: 5 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.40950 (0.48088) Boundary_loss: 0.013044 (0.013040) Loss: 0.42255 (0.49392) +2025-08-22,14:35:14 | INFO | Train Epoch: 5 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.39224 (0.48052) Boundary_loss: 0.013013 (0.013039) Loss: 0.40525 (0.49356) +2025-08-22,14:36:13 | INFO | Train Epoch: 5 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.50937 (0.48064) Boundary_loss: 0.013072 (0.013040) Loss: 0.52244 (0.49368) +2025-08-22,14:37:12 | INFO | Train Epoch: 5 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.46765 (0.48058) Boundary_loss: 0.012906 (0.013039) Loss: 0.48055 (0.49362) +2025-08-22,14:38:11 | INFO | Train Epoch: 5 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.52638 (0.48077) Boundary_loss: 0.012998 (0.013039) Loss: 0.53938 (0.49381) +2025-08-22,14:39:09 | INFO | Train Epoch: 5 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.37928 (0.48036) Boundary_loss: 0.013091 (0.013039) Loss: 0.39237 (0.49340) +2025-08-22,14:40:08 | INFO | Train Epoch: 5 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.44701 (0.48023) Boundary_loss: 0.013023 (0.013039) Loss: 0.46003 (0.49327) +2025-08-22,14:41:07 | INFO | Train Epoch: 5 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.648 Boundary Ratio: 0.100 Contrastive_loss: 0.49794 (0.48030) Boundary_loss: 0.013039 (0.013039) Loss: 0.51098 (0.49334) +2025-08-22,14:42:06 | INFO | Train Epoch: 5 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.46518 (0.48024) Boundary_loss: 0.012959 (0.013039) Loss: 0.47814 (0.49328) +2025-08-22,14:43:05 | INFO | Train Epoch: 5 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.637 Boundary Ratio: 0.100 Contrastive_loss: 0.46141 (0.48017) Boundary_loss: 0.012966 (0.013038) Loss: 0.47437 (0.49321) +2025-08-22,14:44:04 | INFO | Train Epoch: 5 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.45546 (0.48007) Boundary_loss: 0.013127 (0.013039) Loss: 0.46859 (0.49311) +2025-08-22,14:45:02 | INFO | Train Epoch: 5 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.34706 (0.47956) Boundary_loss: 0.012939 (0.013038) Loss: 0.35999 (0.49260) +2025-08-22,14:46:01 | INFO | Train Epoch: 5 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.54736 (0.47982) Boundary_loss: 0.013048 (0.013038) Loss: 0.56041 (0.49286) +2025-08-22,14:47:00 | INFO | Train Epoch: 5 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.58783 (0.48023) Boundary_loss: 0.012907 (0.013038) Loss: 0.60073 (0.49327) +2025-08-22,14:47:59 | INFO | Train Epoch: 5 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.47133 (0.48020) Boundary_loss: 0.012920 (0.013037) Loss: 0.48425 (0.49324) +2025-08-22,14:48:58 | INFO | Train Epoch: 5 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.46974 (0.48016) Boundary_loss: 0.013109 (0.013038) Loss: 0.48285 (0.49320) +2025-08-22,14:49:56 | INFO | Train Epoch: 5 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.47203 (0.48013) Boundary_loss: 0.013071 (0.013038) Loss: 0.48510 (0.49317) +2025-08-22,14:50:55 | INFO | Train Epoch: 5 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.53140 (0.48032) Boundary_loss: 0.013151 (0.013038) Loss: 0.54455 (0.49336) +2025-08-22,14:51:54 | INFO | Train Epoch: 5 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.45930 (0.48024) Boundary_loss: 0.013108 (0.013039) Loss: 0.47241 (0.49328) +2025-08-22,14:52:53 | INFO | Train Epoch: 5 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.45847 (0.48016) Boundary_loss: 0.012995 (0.013038) Loss: 0.47147 (0.49320) +2025-08-22,14:53:52 | INFO | Train Epoch: 5 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.47146 (0.48013) Boundary_loss: 0.013088 (0.013039) Loss: 0.48454 (0.49317) +2025-08-22,14:54:51 | INFO | Train Epoch: 5 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.38352 (0.47977) Boundary_loss: 0.012938 (0.013038) Loss: 0.39645 (0.49281) +2025-08-22,14:55:49 | INFO | Train Epoch: 5 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.48491 (0.47979) Boundary_loss: 0.012989 (0.013038) Loss: 0.49789 (0.49283) +2025-08-22,14:56:48 | INFO | Train Epoch: 5 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.40550 (0.47951) Boundary_loss: 0.012848 (0.013037) Loss: 0.41834 (0.49255) +2025-08-22,14:57:47 | INFO | Train Epoch: 5 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.47161 (0.47948) Boundary_loss: 0.013051 (0.013037) Loss: 0.48466 (0.49252) +2025-08-22,14:58:46 | INFO | Train Epoch: 5 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.592 Boundary Ratio: 0.100 Contrastive_loss: 0.43842 (0.47933) Boundary_loss: 0.013062 (0.013037) Loss: 0.45149 (0.49237) +2025-08-22,14:59:45 | INFO | Train Epoch: 5 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.48187 (0.47934) Boundary_loss: 0.013085 (0.013038) Loss: 0.49496 (0.49238) +2025-08-22,15:00:43 | INFO | Train Epoch: 5 [13978112/26365952 (53%)] Avg Boundaries (per batch): 18.881 Boundary Ratio: 0.096 Contrastive_loss: 0.48608 (0.47937) Boundary_loss: 0.013175 (0.013038) Loss: 0.49925 (0.49241) +2025-08-22,15:01:42 | INFO | Train Epoch: 5 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.46565 (0.47932) Boundary_loss: 0.013051 (0.013038) Loss: 0.47870 (0.49236) +2025-08-22,15:02:41 | INFO | Train Epoch: 5 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.42864 (0.47913) Boundary_loss: 0.013090 (0.013038) Loss: 0.44173 (0.49217) +2025-08-22,15:03:40 | INFO | Train Epoch: 5 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.39100 (0.47882) Boundary_loss: 0.013009 (0.013038) Loss: 0.40400 (0.49185) +2025-08-22,15:04:39 | INFO | Train Epoch: 5 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.51845 (0.47896) Boundary_loss: 0.013024 (0.013038) Loss: 0.53147 (0.49200) +2025-08-22,15:05:37 | INFO | Train Epoch: 5 [14234112/26365952 (54%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.48001 (0.47896) Boundary_loss: 0.013210 (0.013039) Loss: 0.49322 (0.49200) +2025-08-22,15:06:36 | INFO | Train Epoch: 5 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.53444 (0.47916) Boundary_loss: 0.013037 (0.013039) Loss: 0.54747 (0.49220) +2025-08-22,15:07:35 | INFO | Train Epoch: 5 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.49051 (0.47920) Boundary_loss: 0.013093 (0.013039) Loss: 0.50360 (0.49224) +2025-08-22,15:08:34 | INFO | Train Epoch: 5 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.42762 (0.47902) Boundary_loss: 0.012999 (0.013039) Loss: 0.44062 (0.49206) +2025-08-22,15:09:33 | INFO | Train Epoch: 5 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.37930 (0.47866) Boundary_loss: 0.012948 (0.013039) Loss: 0.39225 (0.49170) +2025-08-22,15:10:32 | INFO | Train Epoch: 5 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.672 Boundary Ratio: 0.100 Contrastive_loss: 0.36761 (0.47827) Boundary_loss: 0.013208 (0.013039) Loss: 0.38082 (0.49131) +2025-08-22,15:11:30 | INFO | Train Epoch: 5 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.44371 (0.47815) Boundary_loss: 0.013199 (0.013040) Loss: 0.45691 (0.49119) +2025-08-22,15:12:29 | INFO | Train Epoch: 5 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.50877 (0.47826) Boundary_loss: 0.013113 (0.013040) Loss: 0.52189 (0.49130) +2025-08-22,15:13:28 | INFO | Train Epoch: 5 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.45080 (0.47816) Boundary_loss: 0.012990 (0.013040) Loss: 0.46379 (0.49120) +2025-08-22,15:14:27 | INFO | Train Epoch: 5 [14694912/26365952 (56%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 0.50624 (0.47826) Boundary_loss: 0.013163 (0.013040) Loss: 0.51940 (0.49130) +2025-08-22,15:15:26 | INFO | Train Epoch: 5 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.49996 (0.47834) Boundary_loss: 0.013079 (0.013040) Loss: 0.51304 (0.49138) +2025-08-22,15:16:25 | INFO | Train Epoch: 5 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.43889 (0.47820) Boundary_loss: 0.013017 (0.013040) Loss: 0.45191 (0.49124) +2025-08-22,15:17:24 | INFO | Train Epoch: 5 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.55070 (0.47845) Boundary_loss: 0.013014 (0.013040) Loss: 0.56371 (0.49149) +2025-08-22,15:18:22 | INFO | Train Epoch: 5 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.46819 (0.47841) Boundary_loss: 0.013114 (0.013040) Loss: 0.48130 (0.49145) +2025-08-22,15:19:21 | INFO | Train Epoch: 5 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.46161 (0.47836) Boundary_loss: 0.013017 (0.013040) Loss: 0.47463 (0.49140) +2025-08-22,15:20:20 | INFO | Train Epoch: 5 [15002112/26365952 (57%)] Avg Boundaries (per batch): 18.850 Boundary Ratio: 0.096 Contrastive_loss: 0.45606 (0.47828) Boundary_loss: 0.013093 (0.013041) Loss: 0.46915 (0.49132) +2025-08-22,15:21:19 | INFO | Train Epoch: 5 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 0.52737 (0.47845) Boundary_loss: 0.012950 (0.013040) Loss: 0.54032 (0.49149) +2025-08-22,15:22:17 | INFO | Train Epoch: 5 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.48133 (0.47846) Boundary_loss: 0.013075 (0.013040) Loss: 0.49441 (0.49150) +2025-08-22,15:23:16 | INFO | Train Epoch: 5 [15155712/26365952 (57%)] Avg Boundaries (per batch): 18.941 Boundary Ratio: 0.097 Contrastive_loss: 0.42596 (0.47828) Boundary_loss: 0.013143 (0.013041) Loss: 0.43911 (0.49132) +2025-08-22,15:24:15 | INFO | Train Epoch: 5 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.46548 (0.47824) Boundary_loss: 0.012956 (0.013040) Loss: 0.47844 (0.49128) +2025-08-22,15:25:14 | INFO | Train Epoch: 5 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.51211 (0.47835) Boundary_loss: 0.012950 (0.013040) Loss: 0.52506 (0.49139) +2025-08-22,15:26:13 | INFO | Train Epoch: 5 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.38126 (0.47803) Boundary_loss: 0.013012 (0.013040) Loss: 0.39427 (0.49107) +2025-08-22,15:27:12 | INFO | Train Epoch: 5 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.51076 (0.47814) Boundary_loss: 0.013054 (0.013040) Loss: 0.52382 (0.49118) +2025-08-22,15:28:10 | INFO | Train Epoch: 5 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.41853 (0.47794) Boundary_loss: 0.012991 (0.013040) Loss: 0.43152 (0.49098) +2025-08-22,15:29:09 | INFO | Train Epoch: 5 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.54738 (0.47817) Boundary_loss: 0.012999 (0.013040) Loss: 0.56038 (0.49121) +2025-08-22,15:30:08 | INFO | Train Epoch: 5 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.54758 (0.47840) Boundary_loss: 0.013007 (0.013040) Loss: 0.56059 (0.49144) +2025-08-22,15:31:07 | INFO | Train Epoch: 5 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.48037 (0.47840) Boundary_loss: 0.013006 (0.013040) Loss: 0.49338 (0.49144) +2025-08-22,15:32:06 | INFO | Train Epoch: 5 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.45579 (0.47833) Boundary_loss: 0.013000 (0.013039) Loss: 0.46879 (0.49137) +2025-08-22,15:33:04 | INFO | Train Epoch: 5 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.43343 (0.47818) Boundary_loss: 0.013040 (0.013039) Loss: 0.44647 (0.49122) +2025-08-22,15:34:03 | INFO | Train Epoch: 5 [15718912/26365952 (60%)] Avg Boundaries (per batch): 18.967 Boundary Ratio: 0.097 Contrastive_loss: 0.47981 (0.47819) Boundary_loss: 0.013041 (0.013039) Loss: 0.49285 (0.49123) +2025-08-22,15:35:02 | INFO | Train Epoch: 5 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.44784 (0.47809) Boundary_loss: 0.012970 (0.013039) Loss: 0.46081 (0.49113) +2025-08-22,15:36:01 | INFO | Train Epoch: 5 [15821312/26365952 (60%)] Avg Boundaries (per batch): 18.947 Boundary Ratio: 0.097 Contrastive_loss: 0.49069 (0.47813) Boundary_loss: 0.013043 (0.013039) Loss: 0.50374 (0.49117) +2025-08-22,15:37:00 | INFO | Train Epoch: 5 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.44711 (0.47803) Boundary_loss: 0.013015 (0.013039) Loss: 0.46012 (0.49107) +2025-08-22,15:37:59 | INFO | Train Epoch: 5 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.646 Boundary Ratio: 0.100 Contrastive_loss: 0.48578 (0.47806) Boundary_loss: 0.012902 (0.013039) Loss: 0.49868 (0.49109) +2025-08-22,15:38:57 | INFO | Train Epoch: 5 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.54105 (0.47826) Boundary_loss: 0.013073 (0.013039) Loss: 0.55412 (0.49130) +2025-08-22,15:39:56 | INFO | Train Epoch: 5 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.45450 (0.47818) Boundary_loss: 0.012986 (0.013039) Loss: 0.46749 (0.49122) +2025-08-22,15:40:55 | INFO | Train Epoch: 5 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.852 Boundary Ratio: 0.101 Contrastive_loss: 0.49832 (0.47825) Boundary_loss: 0.013151 (0.013039) Loss: 0.51147 (0.49128) +2025-08-22,15:41:54 | INFO | Train Epoch: 5 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.45614 (0.47818) Boundary_loss: 0.013093 (0.013039) Loss: 0.46923 (0.49121) +2025-08-22,15:42:53 | INFO | Train Epoch: 5 [16179712/26365952 (61%)] Avg Boundaries (per batch): 18.867 Boundary Ratio: 0.096 Contrastive_loss: 0.56606 (0.47845) Boundary_loss: 0.012933 (0.013039) Loss: 0.57900 (0.49149) +2025-08-22,15:43:51 | INFO | Train Epoch: 5 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.52059 (0.47858) Boundary_loss: 0.013097 (0.013039) Loss: 0.53369 (0.49162) +2025-08-22,15:44:50 | INFO | Train Epoch: 5 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.639 Boundary Ratio: 0.100 Contrastive_loss: 0.53068 (0.47875) Boundary_loss: 0.013149 (0.013039) Loss: 0.54383 (0.49179) +2025-08-22,15:45:49 | INFO | Train Epoch: 5 [16333312/26365952 (62%)] Avg Boundaries (per batch): 18.988 Boundary Ratio: 0.097 Contrastive_loss: 0.46559 (0.47871) Boundary_loss: 0.013051 (0.013039) Loss: 0.47864 (0.49175) +2025-08-22,15:46:48 | INFO | Train Epoch: 5 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.37166 (0.47837) Boundary_loss: 0.013047 (0.013039) Loss: 0.38471 (0.49141) +2025-08-22,15:47:46 | INFO | Train Epoch: 5 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.51257 (0.47848) Boundary_loss: 0.013136 (0.013040) Loss: 0.52570 (0.49152) +2025-08-22,15:48:45 | INFO | Train Epoch: 5 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.40620 (0.47826) Boundary_loss: 0.013010 (0.013040) Loss: 0.41921 (0.49130) +2025-08-22,15:49:44 | INFO | Train Epoch: 5 [16538112/26365952 (63%)] Avg Boundaries (per batch): 18.922 Boundary Ratio: 0.097 Contrastive_loss: 0.45604 (0.47819) Boundary_loss: 0.013048 (0.013040) Loss: 0.46909 (0.49123) +2025-08-22,15:50:43 | INFO | Train Epoch: 5 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.43238 (0.47805) Boundary_loss: 0.013167 (0.013040) Loss: 0.44554 (0.49109) +2025-08-22,15:51:42 | INFO | Train Epoch: 5 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.55462 (0.47828) Boundary_loss: 0.013064 (0.013040) Loss: 0.56768 (0.49132) +2025-08-22,15:52:41 | INFO | Train Epoch: 5 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.63592 (0.47876) Boundary_loss: 0.013047 (0.013040) Loss: 0.64896 (0.49180) +2025-08-22,15:53:39 | INFO | Train Epoch: 5 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.37040 (0.47843) Boundary_loss: 0.013034 (0.013040) Loss: 0.38344 (0.49147) +2025-08-22,15:54:38 | INFO | Train Epoch: 5 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.45538 (0.47836) Boundary_loss: 0.012945 (0.013040) Loss: 0.46832 (0.49140) +2025-08-22,15:55:37 | INFO | Train Epoch: 5 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.51629 (0.47848) Boundary_loss: 0.013104 (0.013040) Loss: 0.52939 (0.49152) +2025-08-22,15:56:36 | INFO | Train Epoch: 5 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.38727 (0.47820) Boundary_loss: 0.013208 (0.013041) Loss: 0.40048 (0.49124) +2025-08-22,15:57:35 | INFO | Train Epoch: 5 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.52142 (0.47833) Boundary_loss: 0.013106 (0.013041) Loss: 0.53453 (0.49137) +2025-08-22,15:58:34 | INFO | Train Epoch: 5 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.54826 (0.47854) Boundary_loss: 0.013009 (0.013041) Loss: 0.56127 (0.49158) +2025-08-22,15:59:32 | INFO | Train Epoch: 5 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.51364 (0.47865) Boundary_loss: 0.013005 (0.013041) Loss: 0.52665 (0.49169) +2025-08-22,16:00:31 | INFO | Train Epoch: 5 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.40950 (0.47844) Boundary_loss: 0.013007 (0.013040) Loss: 0.42250 (0.49148) +2025-08-22,16:01:30 | INFO | Train Epoch: 5 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.48917 (0.47847) Boundary_loss: 0.012947 (0.013040) Loss: 0.50211 (0.49151) +2025-08-22,16:02:29 | INFO | Train Epoch: 5 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.609 Boundary Ratio: 0.100 Contrastive_loss: 0.48211 (0.47848) Boundary_loss: 0.013015 (0.013040) Loss: 0.49512 (0.49152) +2025-08-22,16:03:28 | INFO | Train Epoch: 5 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.52351 (0.47862) Boundary_loss: 0.013010 (0.013040) Loss: 0.53652 (0.49166) +2025-08-22,16:04:26 | INFO | Train Epoch: 5 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.43772 (0.47850) Boundary_loss: 0.013128 (0.013040) Loss: 0.45085 (0.49154) +2025-08-22,16:05:25 | INFO | Train Epoch: 5 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 0.44782 (0.47841) Boundary_loss: 0.013018 (0.013040) Loss: 0.46084 (0.49145) +2025-08-22,16:06:24 | INFO | Train Epoch: 5 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.47175 (0.47839) Boundary_loss: 0.013060 (0.013040) Loss: 0.48481 (0.49143) +2025-08-22,16:07:23 | INFO | Train Epoch: 5 [17459712/26365952 (66%)] Avg Boundaries (per batch): 18.789 Boundary Ratio: 0.096 Contrastive_loss: 0.58180 (0.47869) Boundary_loss: 0.013063 (0.013040) Loss: 0.59487 (0.49173) +2025-08-22,16:08:22 | INFO | Train Epoch: 5 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.40959 (0.47849) Boundary_loss: 0.013031 (0.013040) Loss: 0.42262 (0.49153) +2025-08-22,16:09:21 | INFO | Train Epoch: 5 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 0.45239 (0.47841) Boundary_loss: 0.012995 (0.013040) Loss: 0.46538 (0.49145) +2025-08-22,16:10:19 | INFO | Train Epoch: 5 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.43767 (0.47829) Boundary_loss: 0.012975 (0.013040) Loss: 0.45065 (0.49133) +2025-08-22,16:11:18 | INFO | Train Epoch: 5 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.46412 (0.47825) Boundary_loss: 0.013063 (0.013040) Loss: 0.47719 (0.49129) +2025-08-22,16:12:17 | INFO | Train Epoch: 5 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.51644 (0.47836) Boundary_loss: 0.013009 (0.013040) Loss: 0.52944 (0.49140) +2025-08-22,16:13:16 | INFO | Train Epoch: 5 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.53737 (0.47853) Boundary_loss: 0.013000 (0.013040) Loss: 0.55037 (0.49157) +2025-08-22,16:14:14 | INFO | Train Epoch: 5 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.46610 (0.47850) Boundary_loss: 0.012911 (0.013039) Loss: 0.47901 (0.49154) +2025-08-22,16:15:13 | INFO | Train Epoch: 5 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.47276 (0.47848) Boundary_loss: 0.013081 (0.013040) Loss: 0.48584 (0.49152) +2025-08-22,16:16:12 | INFO | Train Epoch: 5 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.42608 (0.47833) Boundary_loss: 0.012981 (0.013039) Loss: 0.43907 (0.49137) +2025-08-22,16:17:11 | INFO | Train Epoch: 5 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.52795 (0.47847) Boundary_loss: 0.012954 (0.013039) Loss: 0.54090 (0.49151) +2025-08-22,16:18:10 | INFO | Train Epoch: 5 [18022912/26365952 (68%)] Avg Boundaries (per batch): 18.916 Boundary Ratio: 0.097 Contrastive_loss: 0.38945 (0.47822) Boundary_loss: 0.013098 (0.013039) Loss: 0.40255 (0.49126) +2025-08-22,16:19:09 | INFO | Train Epoch: 5 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.44908 (0.47814) Boundary_loss: 0.012972 (0.013039) Loss: 0.46205 (0.49118) +2025-08-22,16:20:07 | INFO | Train Epoch: 5 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.39820 (0.47791) Boundary_loss: 0.013025 (0.013039) Loss: 0.41123 (0.49095) +2025-08-22,16:21:06 | INFO | Train Epoch: 5 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.49684 (0.47797) Boundary_loss: 0.013202 (0.013040) Loss: 0.51004 (0.49101) +2025-08-22,16:22:05 | INFO | Train Epoch: 5 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.39271 (0.47773) Boundary_loss: 0.013056 (0.013040) Loss: 0.40577 (0.49077) +2025-08-22,16:23:04 | INFO | Train Epoch: 5 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.49421 (0.47777) Boundary_loss: 0.012891 (0.013039) Loss: 0.50710 (0.49081) +2025-08-22,16:24:03 | INFO | Train Epoch: 5 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.39127 (0.47753) Boundary_loss: 0.012954 (0.013039) Loss: 0.40423 (0.49057) +2025-08-22,16:25:01 | INFO | Train Epoch: 5 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.46644 (0.47750) Boundary_loss: 0.013026 (0.013039) Loss: 0.47947 (0.49054) +2025-08-22,16:26:00 | INFO | Train Epoch: 5 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.47512 (0.47749) Boundary_loss: 0.013093 (0.013039) Loss: 0.48822 (0.49053) +2025-08-22,16:26:59 | INFO | Train Epoch: 5 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.46063 (0.47745) Boundary_loss: 0.012928 (0.013039) Loss: 0.47355 (0.49049) +2025-08-22,16:27:58 | INFO | Train Epoch: 5 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.693 Boundary Ratio: 0.100 Contrastive_loss: 0.41984 (0.47729) Boundary_loss: 0.013004 (0.013039) Loss: 0.43284 (0.49033) +2025-08-22,16:28:57 | INFO | Train Epoch: 5 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.37808 (0.47702) Boundary_loss: 0.013015 (0.013039) Loss: 0.39110 (0.49006) +2025-08-22,16:29:55 | INFO | Train Epoch: 5 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.51560 (0.47712) Boundary_loss: 0.012956 (0.013038) Loss: 0.52855 (0.49016) +2025-08-22,16:30:54 | INFO | Train Epoch: 5 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.49954 (0.47718) Boundary_loss: 0.013138 (0.013039) Loss: 0.51268 (0.49022) +2025-08-22,16:31:53 | INFO | Train Epoch: 5 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.41018 (0.47700) Boundary_loss: 0.013069 (0.013039) Loss: 0.42325 (0.49004) +2025-08-22,16:32:52 | INFO | Train Epoch: 5 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.40996 (0.47682) Boundary_loss: 0.013036 (0.013039) Loss: 0.42300 (0.48986) +2025-08-22,16:33:51 | INFO | Train Epoch: 5 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.664 Boundary Ratio: 0.100 Contrastive_loss: 0.49752 (0.47687) Boundary_loss: 0.012954 (0.013038) Loss: 0.51047 (0.48991) +2025-08-22,16:34:49 | INFO | Train Epoch: 5 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.49535 (0.47692) Boundary_loss: 0.013053 (0.013039) Loss: 0.50841 (0.48996) +2025-08-22,16:35:48 | INFO | Train Epoch: 5 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.50020 (0.47699) Boundary_loss: 0.013052 (0.013039) Loss: 0.51326 (0.49003) +2025-08-22,16:36:47 | INFO | Train Epoch: 5 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.52330 (0.47711) Boundary_loss: 0.013150 (0.013039) Loss: 0.53645 (0.49015) +2025-08-22,16:37:46 | INFO | Train Epoch: 5 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.49137 (0.47715) Boundary_loss: 0.012974 (0.013039) Loss: 0.50434 (0.49019) +2025-08-22,16:38:44 | INFO | Train Epoch: 5 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.50617 (0.47723) Boundary_loss: 0.013037 (0.013039) Loss: 0.51921 (0.49027) +2025-08-22,16:39:43 | INFO | Train Epoch: 5 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.45945 (0.47718) Boundary_loss: 0.012908 (0.013038) Loss: 0.47236 (0.49022) +2025-08-22,16:40:42 | INFO | Train Epoch: 5 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.48950 (0.47721) Boundary_loss: 0.013019 (0.013038) Loss: 0.50252 (0.49025) +2025-08-22,16:41:41 | INFO | Train Epoch: 5 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.43891 (0.47711) Boundary_loss: 0.013036 (0.013038) Loss: 0.45195 (0.49015) +2025-08-22,16:42:40 | INFO | Train Epoch: 5 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.49231 (0.47715) Boundary_loss: 0.013005 (0.013038) Loss: 0.50531 (0.49019) +2025-08-22,16:43:39 | INFO | Train Epoch: 5 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.50371 (0.47722) Boundary_loss: 0.012913 (0.013038) Loss: 0.51662 (0.49026) +2025-08-22,16:44:37 | INFO | Train Epoch: 5 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.45610 (0.47717) Boundary_loss: 0.013021 (0.013038) Loss: 0.46912 (0.49020) +2025-08-22,16:45:36 | INFO | Train Epoch: 5 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.34619 (0.47682) Boundary_loss: 0.013147 (0.013038) Loss: 0.35934 (0.48986) +2025-08-22,16:46:35 | INFO | Train Epoch: 5 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.45400 (0.47676) Boundary_loss: 0.012959 (0.013038) Loss: 0.46696 (0.48980) +2025-08-22,16:47:34 | INFO | Train Epoch: 5 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.35452 (0.47644) Boundary_loss: 0.012989 (0.013038) Loss: 0.36751 (0.48948) +2025-08-22,16:48:33 | INFO | Train Epoch: 5 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.50281 (0.47651) Boundary_loss: 0.012976 (0.013038) Loss: 0.51579 (0.48955) +2025-08-22,16:49:31 | INFO | Train Epoch: 5 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.46039 (0.47647) Boundary_loss: 0.013140 (0.013038) Loss: 0.47353 (0.48951) +2025-08-22,16:50:30 | INFO | Train Epoch: 5 [19712512/26365952 (75%)] Avg Boundaries (per batch): 18.961 Boundary Ratio: 0.097 Contrastive_loss: 0.44908 (0.47640) Boundary_loss: 0.013085 (0.013038) Loss: 0.46216 (0.48944) +2025-08-22,16:51:29 | INFO | Train Epoch: 5 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.50151 (0.47646) Boundary_loss: 0.012993 (0.013038) Loss: 0.51450 (0.48950) +2025-08-22,16:52:28 | INFO | Train Epoch: 5 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.45709 (0.47641) Boundary_loss: 0.013033 (0.013038) Loss: 0.47013 (0.48945) +2025-08-22,16:53:27 | INFO | Train Epoch: 5 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.42710 (0.47629) Boundary_loss: 0.013085 (0.013038) Loss: 0.44018 (0.48933) +2025-08-22,16:54:26 | INFO | Train Epoch: 5 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.37126 (0.47602) Boundary_loss: 0.013047 (0.013038) Loss: 0.38431 (0.48906) +2025-08-22,16:55:24 | INFO | Train Epoch: 5 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.47254 (0.47601) Boundary_loss: 0.012925 (0.013038) Loss: 0.48547 (0.48905) +2025-08-22,16:56:23 | INFO | Train Epoch: 5 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.54954 (0.47620) Boundary_loss: 0.012967 (0.013038) Loss: 0.56250 (0.48923) +2025-08-22,16:57:22 | INFO | Train Epoch: 5 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.44682 (0.47612) Boundary_loss: 0.013075 (0.013038) Loss: 0.45989 (0.48916) +2025-08-22,16:58:21 | INFO | Train Epoch: 5 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.48686 (0.47615) Boundary_loss: 0.013006 (0.013038) Loss: 0.49987 (0.48919) +2025-08-22,16:59:20 | INFO | Train Epoch: 5 [20173312/26365952 (77%)] Avg Boundaries (per batch): 18.867 Boundary Ratio: 0.096 Contrastive_loss: 0.51124 (0.47624) Boundary_loss: 0.013184 (0.013038) Loss: 0.52442 (0.48928) +2025-08-22,17:00:18 | INFO | Train Epoch: 5 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.50187 (0.47630) Boundary_loss: 0.012950 (0.013038) Loss: 0.51482 (0.48934) +2025-08-22,17:01:17 | INFO | Train Epoch: 5 [20275712/26365952 (77%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.42267 (0.47617) Boundary_loss: 0.013033 (0.013038) Loss: 0.43570 (0.48921) +2025-08-22,17:02:16 | INFO | Train Epoch: 5 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.47947 (0.47618) Boundary_loss: 0.012892 (0.013037) Loss: 0.49236 (0.48921) +2025-08-22,17:03:15 | INFO | Train Epoch: 5 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.41962 (0.47603) Boundary_loss: 0.012942 (0.013037) Loss: 0.43256 (0.48907) +2025-08-22,17:04:14 | INFO | Train Epoch: 5 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.56473 (0.47626) Boundary_loss: 0.012997 (0.013037) Loss: 0.57773 (0.48929) +2025-08-22,17:05:12 | INFO | Train Epoch: 5 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.44624 (0.47618) Boundary_loss: 0.013050 (0.013037) Loss: 0.45929 (0.48922) +2025-08-22,17:06:11 | INFO | Train Epoch: 5 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.543 Boundary Ratio: 0.100 Contrastive_loss: 0.50806 (0.47626) Boundary_loss: 0.012938 (0.013037) Loss: 0.52100 (0.48930) +2025-08-22,17:07:10 | INFO | Train Epoch: 5 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.40484 (0.47608) Boundary_loss: 0.013046 (0.013037) Loss: 0.41789 (0.48912) +2025-08-22,17:08:09 | INFO | Train Epoch: 5 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.36233 (0.47580) Boundary_loss: 0.012897 (0.013036) Loss: 0.37523 (0.48884) +2025-08-22,17:09:08 | INFO | Train Epoch: 5 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.42393 (0.47567) Boundary_loss: 0.013068 (0.013037) Loss: 0.43700 (0.48871) +2025-08-22,17:10:06 | INFO | Train Epoch: 5 [20736512/26365952 (79%)] Avg Boundaries (per batch): 18.928 Boundary Ratio: 0.097 Contrastive_loss: 0.59059 (0.47596) Boundary_loss: 0.013003 (0.013036) Loss: 0.60359 (0.48899) +2025-08-22,17:11:05 | INFO | Train Epoch: 5 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.38360 (0.47573) Boundary_loss: 0.012985 (0.013036) Loss: 0.39658 (0.48877) +2025-08-22,17:12:04 | INFO | Train Epoch: 5 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.42544 (0.47561) Boundary_loss: 0.012903 (0.013036) Loss: 0.43835 (0.48864) +2025-08-22,17:13:03 | INFO | Train Epoch: 5 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.39418 (0.47541) Boundary_loss: 0.013087 (0.013036) Loss: 0.40727 (0.48844) +2025-08-22,17:14:02 | INFO | Train Epoch: 5 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.44405 (0.47533) Boundary_loss: 0.012989 (0.013036) Loss: 0.45704 (0.48837) +2025-08-22,17:15:00 | INFO | Train Epoch: 5 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.47971 (0.47534) Boundary_loss: 0.013082 (0.013036) Loss: 0.49279 (0.48838) +2025-08-22,17:15:59 | INFO | Train Epoch: 5 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.57214 (0.47558) Boundary_loss: 0.012954 (0.013036) Loss: 0.58510 (0.48861) +2025-08-22,17:16:58 | INFO | Train Epoch: 5 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.43525 (0.47548) Boundary_loss: 0.012999 (0.013036) Loss: 0.44825 (0.48851) +2025-08-22,17:17:57 | INFO | Train Epoch: 5 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.40440 (0.47531) Boundary_loss: 0.013076 (0.013036) Loss: 0.41748 (0.48834) +2025-08-22,17:18:56 | INFO | Train Epoch: 5 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 0.41777 (0.47517) Boundary_loss: 0.013049 (0.013036) Loss: 0.43082 (0.48820) +2025-08-22,17:19:54 | INFO | Train Epoch: 5 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.37734 (0.47493) Boundary_loss: 0.013026 (0.013036) Loss: 0.39036 (0.48797) +2025-08-22,17:20:53 | INFO | Train Epoch: 5 [21299712/26365952 (81%)] Avg Boundaries (per batch): 18.975 Boundary Ratio: 0.097 Contrastive_loss: 0.52820 (0.47506) Boundary_loss: 0.013057 (0.013036) Loss: 0.54126 (0.48810) +2025-08-22,17:21:52 | INFO | Train Epoch: 5 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.48424 (0.47508) Boundary_loss: 0.012974 (0.013036) Loss: 0.49721 (0.48812) +2025-08-22,17:22:51 | INFO | Train Epoch: 5 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.613 Boundary Ratio: 0.100 Contrastive_loss: 0.42919 (0.47497) Boundary_loss: 0.013010 (0.013036) Loss: 0.44220 (0.48801) +2025-08-22,17:23:50 | INFO | Train Epoch: 5 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.35490 (0.47469) Boundary_loss: 0.013102 (0.013036) Loss: 0.36800 (0.48772) +2025-08-22,17:24:49 | INFO | Train Epoch: 5 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.37964 (0.47446) Boundary_loss: 0.012944 (0.013036) Loss: 0.39258 (0.48750) +2025-08-22,17:25:47 | INFO | Train Epoch: 5 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.51644 (0.47456) Boundary_loss: 0.012938 (0.013035) Loss: 0.52937 (0.48760) +2025-08-22,17:26:46 | INFO | Train Epoch: 5 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.48733 (0.47459) Boundary_loss: 0.012994 (0.013035) Loss: 0.50032 (0.48763) +2025-08-22,17:27:45 | INFO | Train Epoch: 5 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.44594 (0.47452) Boundary_loss: 0.013058 (0.013035) Loss: 0.45899 (0.48756) +2025-08-22,17:28:44 | INFO | Train Epoch: 5 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.44313 (0.47445) Boundary_loss: 0.012980 (0.013035) Loss: 0.45611 (0.48749) +2025-08-22,17:29:43 | INFO | Train Epoch: 5 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.45551 (0.47441) Boundary_loss: 0.012992 (0.013035) Loss: 0.46850 (0.48744) +2025-08-22,17:30:42 | INFO | Train Epoch: 5 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.54315 (0.47457) Boundary_loss: 0.012942 (0.013035) Loss: 0.55610 (0.48760) +2025-08-22,17:31:41 | INFO | Train Epoch: 5 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.47756 (0.47457) Boundary_loss: 0.013074 (0.013035) Loss: 0.49063 (0.48761) +2025-08-22,17:32:39 | INFO | Train Epoch: 5 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.46305 (0.47455) Boundary_loss: 0.013050 (0.013035) Loss: 0.47610 (0.48758) +2025-08-22,17:33:38 | INFO | Train Epoch: 5 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.42915 (0.47444) Boundary_loss: 0.013039 (0.013035) Loss: 0.44219 (0.48748) +2025-08-22,17:34:37 | INFO | Train Epoch: 5 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.43155 (0.47434) Boundary_loss: 0.012975 (0.013035) Loss: 0.44453 (0.48738) +2025-08-22,17:35:36 | INFO | Train Epoch: 5 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.47719 (0.47435) Boundary_loss: 0.013110 (0.013035) Loss: 0.49030 (0.48738) +2025-08-22,17:36:35 | INFO | Train Epoch: 5 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.34775 (0.47406) Boundary_loss: 0.013050 (0.013035) Loss: 0.36080 (0.48709) +2025-08-22,17:37:33 | INFO | Train Epoch: 5 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.43496 (0.47397) Boundary_loss: 0.012879 (0.013035) Loss: 0.44784 (0.48700) +2025-08-22,17:38:32 | INFO | Train Epoch: 5 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.46755 (0.47395) Boundary_loss: 0.013062 (0.013035) Loss: 0.48061 (0.48699) +2025-08-22,17:39:31 | INFO | Train Epoch: 5 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.36944 (0.47371) Boundary_loss: 0.013016 (0.013035) Loss: 0.38246 (0.48675) +2025-08-22,17:40:30 | INFO | Train Epoch: 5 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.46272 (0.47369) Boundary_loss: 0.013053 (0.013035) Loss: 0.47577 (0.48672) +2025-08-22,17:41:29 | INFO | Train Epoch: 5 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.38925 (0.47349) Boundary_loss: 0.013010 (0.013035) Loss: 0.40226 (0.48653) +2025-08-22,17:42:28 | INFO | Train Epoch: 5 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.45326 (0.47345) Boundary_loss: 0.013108 (0.013035) Loss: 0.46637 (0.48648) +2025-08-22,17:43:26 | INFO | Train Epoch: 5 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.45916 (0.47342) Boundary_loss: 0.013081 (0.013035) Loss: 0.47224 (0.48645) +2025-08-22,17:44:25 | INFO | Train Epoch: 5 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.52684 (0.47354) Boundary_loss: 0.012938 (0.013035) Loss: 0.53977 (0.48657) +2025-08-22,17:45:24 | INFO | Train Epoch: 5 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.54239 (0.47369) Boundary_loss: 0.012930 (0.013035) Loss: 0.55532 (0.48673) +2025-08-22,17:46:23 | INFO | Train Epoch: 5 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.40151 (0.47353) Boundary_loss: 0.012962 (0.013034) Loss: 0.41448 (0.48656) +2025-08-22,17:47:22 | INFO | Train Epoch: 5 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.52770 (0.47365) Boundary_loss: 0.013020 (0.013034) Loss: 0.54072 (0.48669) +2025-08-22,17:48:20 | INFO | Train Epoch: 5 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.50637 (0.47372) Boundary_loss: 0.013027 (0.013034) Loss: 0.51939 (0.48676) +2025-08-22,17:49:19 | INFO | Train Epoch: 5 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.43990 (0.47365) Boundary_loss: 0.013090 (0.013035) Loss: 0.45299 (0.48668) +2025-08-22,17:50:18 | INFO | Train Epoch: 5 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.56118 (0.47384) Boundary_loss: 0.012978 (0.013034) Loss: 0.57416 (0.48688) +2025-08-22,17:51:17 | INFO | Train Epoch: 5 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.51972 (0.47395) Boundary_loss: 0.012979 (0.013034) Loss: 0.53270 (0.48698) +2025-08-22,17:52:16 | INFO | Train Epoch: 5 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.39230 (0.47377) Boundary_loss: 0.012996 (0.013034) Loss: 0.40530 (0.48680) +2025-08-22,17:53:14 | INFO | Train Epoch: 5 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.41954 (0.47364) Boundary_loss: 0.012969 (0.013034) Loss: 0.43251 (0.48668) +2025-08-22,17:54:13 | INFO | Train Epoch: 5 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.44988 (0.47359) Boundary_loss: 0.012924 (0.013034) Loss: 0.46280 (0.48663) +2025-08-22,17:55:12 | INFO | Train Epoch: 5 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.46147 (0.47357) Boundary_loss: 0.013025 (0.013034) Loss: 0.47450 (0.48660) +2025-08-22,17:56:11 | INFO | Train Epoch: 5 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.41941 (0.47345) Boundary_loss: 0.013078 (0.013034) Loss: 0.43249 (0.48648) +2025-08-22,17:57:10 | INFO | Train Epoch: 5 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.48165 (0.47346) Boundary_loss: 0.012893 (0.013034) Loss: 0.49454 (0.48650) +2025-08-22,17:58:09 | INFO | Train Epoch: 5 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 0.51565 (0.47356) Boundary_loss: 0.013085 (0.013034) Loss: 0.52873 (0.48659) +2025-08-22,17:59:07 | INFO | Train Epoch: 5 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.49091 (0.47359) Boundary_loss: 0.013006 (0.013034) Loss: 0.50392 (0.48663) +2025-08-22,18:00:06 | INFO | Train Epoch: 5 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.50905 (0.47367) Boundary_loss: 0.013083 (0.013034) Loss: 0.52213 (0.48671) +2025-08-22,18:01:05 | INFO | Train Epoch: 5 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.45456 (0.47363) Boundary_loss: 0.013025 (0.013034) Loss: 0.46758 (0.48666) +2025-08-22,18:02:04 | INFO | Train Epoch: 5 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.49680 (0.47368) Boundary_loss: 0.012953 (0.013034) Loss: 0.50976 (0.48671) +2025-08-22,18:03:03 | INFO | Train Epoch: 5 [23501312/26365952 (89%)] Avg Boundaries (per batch): 18.809 Boundary Ratio: 0.096 Contrastive_loss: 0.50804 (0.47376) Boundary_loss: 0.013044 (0.013034) Loss: 0.52108 (0.48679) +2025-08-22,18:04:01 | INFO | Train Epoch: 5 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.48918 (0.47379) Boundary_loss: 0.013003 (0.013034) Loss: 0.50218 (0.48682) +2025-08-22,18:05:00 | INFO | Train Epoch: 5 [23603712/26365952 (90%)] Avg Boundaries (per batch): 18.875 Boundary Ratio: 0.096 Contrastive_loss: 0.47424 (0.47379) Boundary_loss: 0.013024 (0.013034) Loss: 0.48727 (0.48682) +2025-08-22,18:05:59 | INFO | Train Epoch: 5 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.41629 (0.47367) Boundary_loss: 0.013075 (0.013034) Loss: 0.42936 (0.48670) +2025-08-22,18:06:58 | INFO | Train Epoch: 5 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.42812 (0.47357) Boundary_loss: 0.013016 (0.013034) Loss: 0.44113 (0.48660) +2025-08-22,18:07:57 | INFO | Train Epoch: 5 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.525 Boundary Ratio: 0.100 Contrastive_loss: 0.47482 (0.47357) Boundary_loss: 0.013115 (0.013034) Loss: 0.48793 (0.48660) +2025-08-22,18:08:55 | INFO | Train Epoch: 5 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.53412 (0.47370) Boundary_loss: 0.012982 (0.013034) Loss: 0.54710 (0.48673) +2025-08-22,18:09:54 | INFO | Train Epoch: 5 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 0.45201 (0.47365) Boundary_loss: 0.013146 (0.013034) Loss: 0.46516 (0.48669) +2025-08-22,18:10:53 | INFO | Train Epoch: 5 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.45491 (0.47361) Boundary_loss: 0.012993 (0.013034) Loss: 0.46791 (0.48665) +2025-08-22,18:11:52 | INFO | Train Epoch: 5 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.51363 (0.47370) Boundary_loss: 0.013035 (0.013034) Loss: 0.52666 (0.48673) +2025-08-22,18:12:51 | INFO | Train Epoch: 5 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.52962 (0.47382) Boundary_loss: 0.012845 (0.013033) Loss: 0.54247 (0.48685) +2025-08-22,18:13:50 | INFO | Train Epoch: 5 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.41947 (0.47370) Boundary_loss: 0.012977 (0.013033) Loss: 0.43244 (0.48674) +2025-08-22,18:14:48 | INFO | Train Epoch: 5 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.58078 (0.47393) Boundary_loss: 0.013037 (0.013033) Loss: 0.59381 (0.48696) +2025-08-22,18:15:47 | INFO | Train Epoch: 5 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.777 Boundary Ratio: 0.101 Contrastive_loss: 0.42079 (0.47382) Boundary_loss: 0.013088 (0.013033) Loss: 0.43387 (0.48685) +2025-08-22,18:16:46 | INFO | Train Epoch: 5 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.51815 (0.47391) Boundary_loss: 0.013016 (0.013033) Loss: 0.53116 (0.48694) +2025-08-22,18:17:45 | INFO | Train Epoch: 5 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.49687 (0.47396) Boundary_loss: 0.012990 (0.013033) Loss: 0.50985 (0.48699) +2025-08-22,18:18:44 | INFO | Train Epoch: 5 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.40665 (0.47382) Boundary_loss: 0.012916 (0.013033) Loss: 0.41956 (0.48685) +2025-08-22,18:19:42 | INFO | Train Epoch: 5 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.38483 (0.47363) Boundary_loss: 0.012978 (0.013033) Loss: 0.39781 (0.48666) +2025-08-22,18:20:41 | INFO | Train Epoch: 5 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.48266 (0.47365) Boundary_loss: 0.013049 (0.013033) Loss: 0.49571 (0.48668) +2025-08-22,18:21:40 | INFO | Train Epoch: 5 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.41715 (0.47353) Boundary_loss: 0.012899 (0.013033) Loss: 0.43005 (0.48656) +2025-08-22,18:22:39 | INFO | Train Epoch: 5 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.46707 (0.47352) Boundary_loss: 0.013081 (0.013033) Loss: 0.48016 (0.48655) +2025-08-22,18:23:38 | INFO | Train Epoch: 5 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.53097 (0.47364) Boundary_loss: 0.012970 (0.013033) Loss: 0.54394 (0.48667) +2025-08-22,18:24:37 | INFO | Train Epoch: 5 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.525 Boundary Ratio: 0.100 Contrastive_loss: 0.45277 (0.47359) Boundary_loss: 0.013075 (0.013033) Loss: 0.46585 (0.48663) +2025-08-22,18:25:35 | INFO | Train Epoch: 5 [24678912/26365952 (94%)] Avg Boundaries (per batch): 18.910 Boundary Ratio: 0.096 Contrastive_loss: 0.42736 (0.47350) Boundary_loss: 0.012937 (0.013033) Loss: 0.44029 (0.48653) +2025-08-22,18:26:34 | INFO | Train Epoch: 5 [24730112/26365952 (94%)] Avg Boundaries (per batch): 18.969 Boundary Ratio: 0.097 Contrastive_loss: 0.57927 (0.47372) Boundary_loss: 0.012932 (0.013032) Loss: 0.59220 (0.48675) +2025-08-22,18:27:33 | INFO | Train Epoch: 5 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.48034 (0.47373) Boundary_loss: 0.013093 (0.013032) Loss: 0.49344 (0.48676) +2025-08-22,18:28:32 | INFO | Train Epoch: 5 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.45679 (0.47370) Boundary_loss: 0.012998 (0.013032) Loss: 0.46979 (0.48673) +2025-08-22,18:29:30 | INFO | Train Epoch: 5 [24883712/26365952 (94%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.50219 (0.47375) Boundary_loss: 0.013024 (0.013032) Loss: 0.51521 (0.48679) +2025-08-22,18:30:29 | INFO | Train Epoch: 5 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.600 Boundary Ratio: 0.100 Contrastive_loss: 0.52910 (0.47387) Boundary_loss: 0.012930 (0.013032) Loss: 0.54203 (0.48690) +2025-08-22,18:31:28 | INFO | Train Epoch: 5 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.50925 (0.47394) Boundary_loss: 0.012969 (0.013032) Loss: 0.52222 (0.48697) +2025-08-22,18:32:27 | INFO | Train Epoch: 5 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.44349 (0.47388) Boundary_loss: 0.013031 (0.013032) Loss: 0.45652 (0.48691) +2025-08-22,18:33:26 | INFO | Train Epoch: 5 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.51328 (0.47396) Boundary_loss: 0.012895 (0.013032) Loss: 0.52618 (0.48699) +2025-08-22,18:34:25 | INFO | Train Epoch: 5 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.53660 (0.47409) Boundary_loss: 0.013022 (0.013032) Loss: 0.54963 (0.48712) +2025-08-22,18:35:23 | INFO | Train Epoch: 5 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.46718 (0.47407) Boundary_loss: 0.012922 (0.013031) Loss: 0.48010 (0.48710) +2025-08-22,18:36:22 | INFO | Train Epoch: 5 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.51511 (0.47415) Boundary_loss: 0.013080 (0.013032) Loss: 0.52819 (0.48719) +2025-08-22,18:37:21 | INFO | Train Epoch: 5 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.50622 (0.47422) Boundary_loss: 0.012980 (0.013031) Loss: 0.51921 (0.48725) +2025-08-22,18:38:20 | INFO | Train Epoch: 5 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.42367 (0.47412) Boundary_loss: 0.012963 (0.013031) Loss: 0.43664 (0.48715) +2025-08-22,18:39:19 | INFO | Train Epoch: 5 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.44659 (0.47406) Boundary_loss: 0.013046 (0.013031) Loss: 0.45963 (0.48709) +2025-08-22,18:40:17 | INFO | Train Epoch: 5 [25446912/26365952 (97%)] Avg Boundaries (per batch): 18.859 Boundary Ratio: 0.096 Contrastive_loss: 0.39264 (0.47390) Boundary_loss: 0.013048 (0.013031) Loss: 0.40568 (0.48693) +2025-08-22,18:41:16 | INFO | Train Epoch: 5 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.47373 (0.47390) Boundary_loss: 0.012999 (0.013031) Loss: 0.48673 (0.48693) +2025-08-22,18:42:15 | INFO | Train Epoch: 5 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.46924 (0.47389) Boundary_loss: 0.012941 (0.013031) Loss: 0.48218 (0.48692) +2025-08-22,18:43:14 | INFO | Train Epoch: 5 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.51009 (0.47396) Boundary_loss: 0.013038 (0.013031) Loss: 0.52313 (0.48699) +2025-08-22,18:44:13 | INFO | Train Epoch: 5 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.50951 (0.47403) Boundary_loss: 0.012935 (0.013031) Loss: 0.52245 (0.48706) +2025-08-22,18:45:12 | INFO | Train Epoch: 5 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.50986 (0.47410) Boundary_loss: 0.012897 (0.013031) Loss: 0.52276 (0.48713) +2025-08-22,18:46:10 | INFO | Train Epoch: 5 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.50660 (0.47417) Boundary_loss: 0.012848 (0.013030) Loss: 0.51944 (0.48720) +2025-08-22,18:47:09 | INFO | Train Epoch: 5 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.45204 (0.47412) Boundary_loss: 0.012976 (0.013030) Loss: 0.46501 (0.48715) +2025-08-22,18:48:08 | INFO | Train Epoch: 5 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.49291 (0.47416) Boundary_loss: 0.013035 (0.013030) Loss: 0.50595 (0.48719) +2025-08-22,18:49:07 | INFO | Train Epoch: 5 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.50534 (0.47422) Boundary_loss: 0.013030 (0.013030) Loss: 0.51837 (0.48725) +2025-08-22,18:50:06 | INFO | Train Epoch: 5 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.47677 (0.47423) Boundary_loss: 0.012998 (0.013030) Loss: 0.48977 (0.48726) +2025-08-22,18:51:04 | INFO | Train Epoch: 5 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.846 Boundary Ratio: 0.101 Contrastive_loss: 0.49332 (0.47427) Boundary_loss: 0.013074 (0.013030) Loss: 0.50639 (0.48730) +2025-08-22,18:52:03 | INFO | Train Epoch: 5 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.670 Boundary Ratio: 0.100 Contrastive_loss: 0.39135 (0.47410) Boundary_loss: 0.013006 (0.013030) Loss: 0.40435 (0.48713) +2025-08-22,18:53:02 | INFO | Train Epoch: 5 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.51657 (0.47419) Boundary_loss: 0.012970 (0.013030) Loss: 0.52954 (0.48722) +2025-08-22,18:54:01 | INFO | Train Epoch: 5 [26163712/26365952 (99%)] Avg Boundaries (per batch): 18.980 Boundary Ratio: 0.097 Contrastive_loss: 0.35041 (0.47394) Boundary_loss: 0.012938 (0.013030) Loss: 0.36335 (0.48697) +2025-08-22,18:55:00 | INFO | Train Epoch: 5 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.49534 (0.47399) Boundary_loss: 0.013105 (0.013030) Loss: 0.50844 (0.48702) +2025-08-22,18:55:58 | INFO | Train Epoch: 5 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.38219 (0.47381) Boundary_loss: 0.012962 (0.013030) Loss: 0.39516 (0.48684) +2025-08-22,18:56:57 | INFO | Train Epoch: 5 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.40020 (0.47366) Boundary_loss: 0.013075 (0.013030) Loss: 0.41327 (0.48669) +2025-08-22,18:57:53 | INFO | Train Epoch: 5 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.42987 (0.47358) Boundary_loss: 0.013075 (0.013030) Loss: 0.44295 (0.48661) +2025-08-22,18:57:53 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-22,18:57:53 | INFO | [Epoch 5] Average Step Time: 0.591s | Average GPU Memory: 33.5 GB +2025-08-22,18:57:53 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-22,18:57:53 | INFO | Starting zero-shot imagenet. +2025-08-22,18:57:53 | INFO | Building zero-shot classifier +2025-08-22,18:58:02 | INFO | Using classifier +2025-08-22,18:58:44 | INFO | Finished zero-shot imagenet. +2025-08-22,18:58:44 | INFO | Eval Epoch: 6 imagenet-zeroshot-val-top1: 0.2575 imagenet-zeroshot-val-top5: 0.5111 +2025-08-22,18:58:46 | INFO | Start epoch 6 +2025-08-22,18:58:48 | INFO | Train Epoch: 6 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.43030 (0.43030) Boundary_loss: 0.013007 (0.013007) Loss: 0.44330 (0.44330) +2025-08-22,18:59:46 | INFO | Train Epoch: 6 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.48582 (0.45806) Boundary_loss: 0.012903 (0.012955) Loss: 0.49872 (0.47101) +2025-08-22,19:00:45 | INFO | Train Epoch: 6 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 18.918 Boundary Ratio: 0.097 Contrastive_loss: 0.46896 (0.46169) Boundary_loss: 0.012965 (0.012959) Loss: 0.48192 (0.47465) +2025-08-22,19:01:44 | INFO | Train Epoch: 6 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 0.40469 (0.44744) Boundary_loss: 0.012993 (0.012967) Loss: 0.41769 (0.46041) +2025-08-22,19:02:43 | INFO | Train Epoch: 6 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.42954 (0.44386) Boundary_loss: 0.013102 (0.012994) Loss: 0.44264 (0.45686) +2025-08-22,19:03:41 | INFO | Train Epoch: 6 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.46618 (0.44758) Boundary_loss: 0.013039 (0.013002) Loss: 0.47922 (0.46058) +2025-08-22,19:04:40 | INFO | Train Epoch: 6 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.37167 (0.43674) Boundary_loss: 0.012991 (0.013000) Loss: 0.38466 (0.44974) +2025-08-22,19:05:39 | INFO | Train Epoch: 6 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.822 Boundary Ratio: 0.101 Contrastive_loss: 0.45613 (0.43916) Boundary_loss: 0.012935 (0.012992) Loss: 0.46907 (0.45215) +2025-08-22,19:06:38 | INFO | Train Epoch: 6 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.41370 (0.43633) Boundary_loss: 0.013015 (0.012995) Loss: 0.42671 (0.44933) +2025-08-22,19:07:36 | INFO | Train Epoch: 6 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.45946 (0.43865) Boundary_loss: 0.012918 (0.012987) Loss: 0.47238 (0.45163) +2025-08-22,19:08:35 | INFO | Train Epoch: 6 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.41599 (0.43659) Boundary_loss: 0.012939 (0.012983) Loss: 0.42893 (0.44957) +2025-08-22,19:09:34 | INFO | Train Epoch: 6 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 0.31779 (0.42669) Boundary_loss: 0.013015 (0.012985) Loss: 0.33081 (0.43967) +2025-08-22,19:10:33 | INFO | Train Epoch: 6 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.37705 (0.42287) Boundary_loss: 0.012941 (0.012982) Loss: 0.38999 (0.43585) +2025-08-22,19:11:31 | INFO | Train Epoch: 6 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 18.963 Boundary Ratio: 0.097 Contrastive_loss: 0.45038 (0.42483) Boundary_loss: 0.012940 (0.012979) Loss: 0.46332 (0.43781) +2025-08-22,19:12:30 | INFO | Train Epoch: 6 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.34640 (0.41961) Boundary_loss: 0.012994 (0.012980) Loss: 0.35940 (0.43259) +2025-08-22,19:13:29 | INFO | Train Epoch: 6 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.34186 (0.41475) Boundary_loss: 0.013025 (0.012983) Loss: 0.35488 (0.42773) +2025-08-22,19:14:28 | INFO | Train Epoch: 6 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 18.826 Boundary Ratio: 0.096 Contrastive_loss: 0.39262 (0.41344) Boundary_loss: 0.013042 (0.012986) Loss: 0.40567 (0.42643) +2025-08-22,19:15:26 | INFO | Train Epoch: 6 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.43683 (0.41474) Boundary_loss: 0.012954 (0.012984) Loss: 0.44979 (0.42773) +2025-08-22,19:16:25 | INFO | Train Epoch: 6 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.42271 (0.41516) Boundary_loss: 0.013072 (0.012989) Loss: 0.43579 (0.42815) +2025-08-22,19:17:24 | INFO | Train Epoch: 6 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.45194 (0.41700) Boundary_loss: 0.013014 (0.012990) Loss: 0.46495 (0.42999) +2025-08-22,19:18:23 | INFO | Train Epoch: 6 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.38603 (0.41553) Boundary_loss: 0.012991 (0.012990) Loss: 0.39902 (0.42852) +2025-08-22,19:19:22 | INFO | Train Epoch: 6 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.42638 (0.41602) Boundary_loss: 0.013030 (0.012992) Loss: 0.43941 (0.42901) +2025-08-22,19:20:20 | INFO | Train Epoch: 6 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.45229 (0.41760) Boundary_loss: 0.012907 (0.012988) Loss: 0.46520 (0.43059) +2025-08-22,19:21:19 | INFO | Train Epoch: 6 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.44723 (0.41883) Boundary_loss: 0.012963 (0.012987) Loss: 0.46019 (0.43182) +2025-08-22,19:22:18 | INFO | Train Epoch: 6 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.38604 (0.41752) Boundary_loss: 0.012885 (0.012983) Loss: 0.39892 (0.43050) +2025-08-22,19:23:17 | INFO | Train Epoch: 6 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.33680 (0.41442) Boundary_loss: 0.012960 (0.012982) Loss: 0.34976 (0.42740) +2025-08-22,19:24:16 | INFO | Train Epoch: 6 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.41436 (0.41441) Boundary_loss: 0.013043 (0.012985) Loss: 0.42740 (0.42740) +2025-08-22,19:25:14 | INFO | Train Epoch: 6 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.45266 (0.41578) Boundary_loss: 0.013083 (0.012988) Loss: 0.46575 (0.42877) +2025-08-22,19:26:13 | INFO | Train Epoch: 6 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.50129 (0.41873) Boundary_loss: 0.013054 (0.012990) Loss: 0.51434 (0.43172) +2025-08-22,19:27:12 | INFO | Train Epoch: 6 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.43468 (0.41926) Boundary_loss: 0.013060 (0.012993) Loss: 0.44774 (0.43225) +2025-08-22,19:28:11 | INFO | Train Epoch: 6 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.35394 (0.41715) Boundary_loss: 0.012980 (0.012992) Loss: 0.36692 (0.43015) +2025-08-22,19:29:10 | INFO | Train Epoch: 6 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.35811 (0.41531) Boundary_loss: 0.012934 (0.012991) Loss: 0.37104 (0.42830) +2025-08-22,19:30:09 | INFO | Train Epoch: 6 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 18.969 Boundary Ratio: 0.097 Contrastive_loss: 0.39951 (0.41483) Boundary_loss: 0.013048 (0.012992) Loss: 0.41256 (0.42782) +2025-08-22,19:31:07 | INFO | Train Epoch: 6 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.42325 (0.41508) Boundary_loss: 0.013049 (0.012994) Loss: 0.43630 (0.42807) +2025-08-22,19:32:06 | INFO | Train Epoch: 6 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.37812 (0.41402) Boundary_loss: 0.012980 (0.012994) Loss: 0.39111 (0.42701) +2025-08-22,19:33:05 | INFO | Train Epoch: 6 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.42153 (0.41423) Boundary_loss: 0.012962 (0.012993) Loss: 0.43449 (0.42722) +2025-08-22,19:34:04 | INFO | Train Epoch: 6 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.36703 (0.41295) Boundary_loss: 0.012921 (0.012991) Loss: 0.37995 (0.42594) +2025-08-22,19:35:02 | INFO | Train Epoch: 6 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.45429 (0.41404) Boundary_loss: 0.013005 (0.012991) Loss: 0.46729 (0.42703) +2025-08-22,19:36:01 | INFO | Train Epoch: 6 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.38361 (0.41326) Boundary_loss: 0.013117 (0.012994) Loss: 0.39673 (0.42626) +2025-08-22,19:37:00 | INFO | Train Epoch: 6 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.44612 (0.41408) Boundary_loss: 0.012931 (0.012993) Loss: 0.45906 (0.42708) +2025-08-22,19:37:59 | INFO | Train Epoch: 6 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.49408 (0.41603) Boundary_loss: 0.012937 (0.012991) Loss: 0.50701 (0.42903) +2025-08-22,19:38:57 | INFO | Train Epoch: 6 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.32350 (0.41383) Boundary_loss: 0.012981 (0.012991) Loss: 0.33649 (0.42682) +2025-08-22,19:39:56 | INFO | Train Epoch: 6 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.35719 (0.41251) Boundary_loss: 0.013123 (0.012994) Loss: 0.37031 (0.42551) +2025-08-22,19:40:55 | INFO | Train Epoch: 6 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.40341 (0.41231) Boundary_loss: 0.013022 (0.012995) Loss: 0.41643 (0.42530) +2025-08-22,19:41:54 | INFO | Train Epoch: 6 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.38451 (0.41169) Boundary_loss: 0.013070 (0.012997) Loss: 0.39758 (0.42469) +2025-08-22,19:42:52 | INFO | Train Epoch: 6 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.44738 (0.41246) Boundary_loss: 0.013111 (0.012999) Loss: 0.46049 (0.42546) +2025-08-22,19:43:51 | INFO | Train Epoch: 6 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.41272 (0.41247) Boundary_loss: 0.013053 (0.013000) Loss: 0.42578 (0.42547) +2025-08-22,19:44:50 | INFO | Train Epoch: 6 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.46066 (0.41347) Boundary_loss: 0.013007 (0.013000) Loss: 0.47367 (0.42647) +2025-08-22,19:45:49 | INFO | Train Epoch: 6 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.40506 (0.41330) Boundary_loss: 0.012960 (0.012999) Loss: 0.41802 (0.42630) +2025-08-22,19:46:48 | INFO | Train Epoch: 6 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.38058 (0.41265) Boundary_loss: 0.012913 (0.012998) Loss: 0.39350 (0.42565) +2025-08-22,19:47:46 | INFO | Train Epoch: 6 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.38042 (0.41202) Boundary_loss: 0.012972 (0.012997) Loss: 0.39339 (0.42501) +2025-08-22,19:48:45 | INFO | Train Epoch: 6 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.41501 (0.41207) Boundary_loss: 0.013140 (0.013000) Loss: 0.42816 (0.42507) +2025-08-22,19:49:44 | INFO | Train Epoch: 6 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.39418 (0.41174) Boundary_loss: 0.013043 (0.013001) Loss: 0.40723 (0.42474) +2025-08-22,19:50:43 | INFO | Train Epoch: 6 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 0.30865 (0.40983) Boundary_loss: 0.013043 (0.013002) Loss: 0.32169 (0.42283) +2025-08-22,19:51:42 | INFO | Train Epoch: 6 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.40906 (0.40981) Boundary_loss: 0.013012 (0.013002) Loss: 0.42207 (0.42282) +2025-08-22,19:52:40 | INFO | Train Epoch: 6 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 0.39391 (0.40953) Boundary_loss: 0.013045 (0.013003) Loss: 0.40696 (0.42253) +2025-08-22,19:53:39 | INFO | Train Epoch: 6 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.33437 (0.40821) Boundary_loss: 0.013058 (0.013003) Loss: 0.34743 (0.42121) +2025-08-22,19:54:38 | INFO | Train Epoch: 6 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.40546 (0.40816) Boundary_loss: 0.013112 (0.013005) Loss: 0.41858 (0.42117) +2025-08-22,19:55:37 | INFO | Train Epoch: 6 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.42576 (0.40846) Boundary_loss: 0.012834 (0.013002) Loss: 0.43859 (0.42146) +2025-08-22,19:56:35 | INFO | Train Epoch: 6 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.41941 (0.40864) Boundary_loss: 0.013037 (0.013003) Loss: 0.43245 (0.42165) +2025-08-22,19:57:34 | INFO | Train Epoch: 6 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.45290 (0.40937) Boundary_loss: 0.013012 (0.013003) Loss: 0.46591 (0.42237) +2025-08-22,19:58:33 | INFO | Train Epoch: 6 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.38160 (0.40892) Boundary_loss: 0.012975 (0.013003) Loss: 0.39457 (0.42192) +2025-08-22,19:59:31 | INFO | Train Epoch: 6 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.48556 (0.41014) Boundary_loss: 0.013036 (0.013003) Loss: 0.49859 (0.42314) +2025-08-22,20:00:30 | INFO | Train Epoch: 6 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.37439 (0.40958) Boundary_loss: 0.012990 (0.013003) Loss: 0.38738 (0.42258) +2025-08-22,20:01:29 | INFO | Train Epoch: 6 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.35195 (0.40869) Boundary_loss: 0.012999 (0.013003) Loss: 0.36495 (0.42170) +2025-08-22,20:02:27 | INFO | Train Epoch: 6 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.40019 (0.40856) Boundary_loss: 0.012965 (0.013002) Loss: 0.41315 (0.42157) +2025-08-22,20:03:26 | INFO | Train Epoch: 6 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.40742 (0.40855) Boundary_loss: 0.012935 (0.013001) Loss: 0.42036 (0.42155) +2025-08-22,20:04:25 | INFO | Train Epoch: 6 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.30901 (0.40708) Boundary_loss: 0.012821 (0.012999) Loss: 0.32183 (0.42008) +2025-08-22,20:05:24 | INFO | Train Epoch: 6 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.746 Boundary Ratio: 0.101 Contrastive_loss: 0.43771 (0.40753) Boundary_loss: 0.013112 (0.013000) Loss: 0.45082 (0.42053) +2025-08-22,20:06:23 | INFO | Train Epoch: 6 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.38291 (0.40718) Boundary_loss: 0.012984 (0.013000) Loss: 0.39590 (0.42018) +2025-08-22,20:07:21 | INFO | Train Epoch: 6 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.664 Boundary Ratio: 0.100 Contrastive_loss: 0.35956 (0.40650) Boundary_loss: 0.013075 (0.013001) Loss: 0.37264 (0.41951) +2025-08-22,20:08:20 | INFO | Train Epoch: 6 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.35928 (0.40585) Boundary_loss: 0.012963 (0.013001) Loss: 0.37225 (0.41885) +2025-08-22,20:09:19 | INFO | Train Epoch: 6 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.48119 (0.40688) Boundary_loss: 0.013018 (0.013001) Loss: 0.49420 (0.41988) +2025-08-22,20:10:18 | INFO | Train Epoch: 6 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 18.898 Boundary Ratio: 0.096 Contrastive_loss: 0.44928 (0.40745) Boundary_loss: 0.012995 (0.013001) Loss: 0.46228 (0.42045) +2025-08-22,20:11:16 | INFO | Train Epoch: 6 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.46982 (0.40829) Boundary_loss: 0.012931 (0.013000) Loss: 0.48275 (0.42129) +2025-08-22,20:12:15 | INFO | Train Epoch: 6 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.35906 (0.40764) Boundary_loss: 0.012949 (0.012999) Loss: 0.37201 (0.42064) +2025-08-22,20:13:14 | INFO | Train Epoch: 6 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.40889 (0.40765) Boundary_loss: 0.012978 (0.012999) Loss: 0.42187 (0.42065) +2025-08-22,20:14:13 | INFO | Train Epoch: 6 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.36885 (0.40716) Boundary_loss: 0.013155 (0.013001) Loss: 0.38201 (0.42016) +2025-08-22,20:15:11 | INFO | Train Epoch: 6 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.47814 (0.40806) Boundary_loss: 0.013074 (0.013002) Loss: 0.49121 (0.42106) +2025-08-22,20:16:10 | INFO | Train Epoch: 6 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.36077 (0.40746) Boundary_loss: 0.013144 (0.013004) Loss: 0.37392 (0.42047) +2025-08-22,20:17:09 | INFO | Train Epoch: 6 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 18.977 Boundary Ratio: 0.097 Contrastive_loss: 0.43272 (0.40778) Boundary_loss: 0.012999 (0.013004) Loss: 0.44572 (0.42078) +2025-08-22,20:18:08 | INFO | Train Epoch: 6 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.44668 (0.40825) Boundary_loss: 0.012984 (0.013003) Loss: 0.45966 (0.42125) +2025-08-22,20:19:07 | INFO | Train Epoch: 6 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.40635 (0.40823) Boundary_loss: 0.013046 (0.013004) Loss: 0.41939 (0.42123) +2025-08-22,20:20:06 | INFO | Train Epoch: 6 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.36473 (0.40771) Boundary_loss: 0.013018 (0.013004) Loss: 0.37775 (0.42071) +2025-08-22,20:21:05 | INFO | Train Epoch: 6 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.40664 (0.40770) Boundary_loss: 0.012931 (0.013003) Loss: 0.41957 (0.42070) +2025-08-22,20:22:03 | INFO | Train Epoch: 6 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 18.781 Boundary Ratio: 0.096 Contrastive_loss: 0.27425 (0.40615) Boundary_loss: 0.013022 (0.013003) Loss: 0.28727 (0.41915) +2025-08-22,20:23:02 | INFO | Train Epoch: 6 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.42698 (0.40638) Boundary_loss: 0.012973 (0.013003) Loss: 0.43995 (0.41939) +2025-08-22,20:24:01 | INFO | Train Epoch: 6 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.45586 (0.40695) Boundary_loss: 0.013028 (0.013003) Loss: 0.46889 (0.41995) +2025-08-22,20:25:00 | INFO | Train Epoch: 6 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.40496 (0.40692) Boundary_loss: 0.013041 (0.013004) Loss: 0.41800 (0.41993) +2025-08-22,20:25:59 | INFO | Train Epoch: 6 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 18.990 Boundary Ratio: 0.097 Contrastive_loss: 0.44332 (0.40733) Boundary_loss: 0.012910 (0.013003) Loss: 0.45622 (0.42033) +2025-08-22,20:26:58 | INFO | Train Epoch: 6 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.42422 (0.40751) Boundary_loss: 0.012977 (0.013002) Loss: 0.43719 (0.42052) +2025-08-22,20:27:57 | INFO | Train Epoch: 6 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.36812 (0.40709) Boundary_loss: 0.012913 (0.013001) Loss: 0.38104 (0.42009) +2025-08-22,20:28:55 | INFO | Train Epoch: 6 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.45180 (0.40757) Boundary_loss: 0.013000 (0.013001) Loss: 0.46480 (0.42057) +2025-08-22,20:29:54 | INFO | Train Epoch: 6 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.40333 (0.40752) Boundary_loss: 0.012999 (0.013001) Loss: 0.41633 (0.42052) +2025-08-22,20:30:53 | INFO | Train Epoch: 6 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.670 Boundary Ratio: 0.100 Contrastive_loss: 0.37264 (0.40715) Boundary_loss: 0.013041 (0.013002) Loss: 0.38568 (0.42016) +2025-08-22,20:31:52 | INFO | Train Epoch: 6 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.46307 (0.40774) Boundary_loss: 0.013062 (0.013002) Loss: 0.47613 (0.42074) +2025-08-22,20:32:50 | INFO | Train Epoch: 6 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.49702 (0.40866) Boundary_loss: 0.013095 (0.013003) Loss: 0.51011 (0.42166) +2025-08-22,20:33:49 | INFO | Train Epoch: 6 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.44211 (0.40900) Boundary_loss: 0.013108 (0.013004) Loss: 0.45521 (0.42200) +2025-08-22,20:34:48 | INFO | Train Epoch: 6 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.40179 (0.40893) Boundary_loss: 0.012895 (0.013003) Loss: 0.41469 (0.42193) +2025-08-22,20:35:47 | INFO | Train Epoch: 6 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.37056 (0.40854) Boundary_loss: 0.013011 (0.013003) Loss: 0.38357 (0.42155) +2025-08-22,20:36:46 | INFO | Train Epoch: 6 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.42272 (0.40868) Boundary_loss: 0.012942 (0.013003) Loss: 0.43566 (0.42169) +2025-08-22,20:37:45 | INFO | Train Epoch: 6 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.47231 (0.40931) Boundary_loss: 0.013014 (0.013003) Loss: 0.48533 (0.42231) +2025-08-22,20:38:43 | INFO | Train Epoch: 6 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 18.852 Boundary Ratio: 0.096 Contrastive_loss: 0.38607 (0.40908) Boundary_loss: 0.013001 (0.013003) Loss: 0.39907 (0.42208) +2025-08-22,20:39:42 | INFO | Train Epoch: 6 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.43109 (0.40929) Boundary_loss: 0.012857 (0.013002) Loss: 0.44395 (0.42229) +2025-08-22,20:40:41 | INFO | Train Epoch: 6 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.44475 (0.40963) Boundary_loss: 0.012932 (0.013001) Loss: 0.45769 (0.42263) +2025-08-22,20:41:40 | INFO | Train Epoch: 6 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.36494 (0.40921) Boundary_loss: 0.012974 (0.013001) Loss: 0.37791 (0.42221) +2025-08-22,20:42:39 | INFO | Train Epoch: 6 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.42837 (0.40939) Boundary_loss: 0.012997 (0.013001) Loss: 0.44137 (0.42239) +2025-08-22,20:43:38 | INFO | Train Epoch: 6 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 18.975 Boundary Ratio: 0.097 Contrastive_loss: 0.47425 (0.40999) Boundary_loss: 0.012976 (0.013000) Loss: 0.48722 (0.42299) +2025-08-22,20:44:36 | INFO | Train Epoch: 6 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.36787 (0.40960) Boundary_loss: 0.013039 (0.013001) Loss: 0.38091 (0.42260) +2025-08-22,20:45:35 | INFO | Train Epoch: 6 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.35213 (0.40908) Boundary_loss: 0.012989 (0.013001) Loss: 0.36512 (0.42208) +2025-08-22,20:46:34 | INFO | Train Epoch: 6 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.34553 (0.40851) Boundary_loss: 0.012894 (0.013000) Loss: 0.35843 (0.42151) +2025-08-22,20:47:33 | INFO | Train Epoch: 6 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.590 Boundary Ratio: 0.100 Contrastive_loss: 0.39398 (0.40838) Boundary_loss: 0.013060 (0.013000) Loss: 0.40704 (0.42138) +2025-08-22,20:48:32 | INFO | Train Epoch: 6 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.38231 (0.40815) Boundary_loss: 0.012889 (0.012999) Loss: 0.39520 (0.42115) +2025-08-22,20:49:31 | INFO | Train Epoch: 6 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.41601 (0.40822) Boundary_loss: 0.013017 (0.012999) Loss: 0.42903 (0.42122) +2025-08-22,20:50:29 | INFO | Train Epoch: 6 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.38055 (0.40798) Boundary_loss: 0.013056 (0.013000) Loss: 0.39361 (0.42098) +2025-08-22,20:51:28 | INFO | Train Epoch: 6 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 18.836 Boundary Ratio: 0.096 Contrastive_loss: 0.35379 (0.40751) Boundary_loss: 0.013036 (0.013000) Loss: 0.36683 (0.42051) +2025-08-22,20:52:27 | INFO | Train Epoch: 6 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.39422 (0.40739) Boundary_loss: 0.013008 (0.013000) Loss: 0.40722 (0.42039) +2025-08-22,20:53:26 | INFO | Train Epoch: 6 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.46622 (0.40789) Boundary_loss: 0.012836 (0.012999) Loss: 0.47905 (0.42089) +2025-08-22,20:54:24 | INFO | Train Epoch: 6 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.38741 (0.40772) Boundary_loss: 0.013024 (0.012999) Loss: 0.40044 (0.42072) +2025-08-22,20:55:23 | INFO | Train Epoch: 6 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.40694 (0.40771) Boundary_loss: 0.013040 (0.012999) Loss: 0.41998 (0.42071) +2025-08-22,20:56:22 | INFO | Train Epoch: 6 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 0.35782 (0.40730) Boundary_loss: 0.013039 (0.013000) Loss: 0.37086 (0.42030) +2025-08-22,20:57:21 | INFO | Train Epoch: 6 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.42809 (0.40747) Boundary_loss: 0.013029 (0.013000) Loss: 0.44112 (0.42047) +2025-08-22,20:58:20 | INFO | Train Epoch: 6 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.35827 (0.40707) Boundary_loss: 0.012980 (0.013000) Loss: 0.37125 (0.42007) +2025-08-22,20:59:18 | INFO | Train Epoch: 6 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.37326 (0.40680) Boundary_loss: 0.012919 (0.012999) Loss: 0.38618 (0.41980) +2025-08-22,21:00:17 | INFO | Train Epoch: 6 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 18.967 Boundary Ratio: 0.097 Contrastive_loss: 0.44631 (0.40712) Boundary_loss: 0.012948 (0.012999) Loss: 0.45926 (0.42011) +2025-08-22,21:01:16 | INFO | Train Epoch: 6 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.43373 (0.40733) Boundary_loss: 0.012955 (0.012998) Loss: 0.44669 (0.42033) +2025-08-22,21:02:14 | INFO | Train Epoch: 6 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.46697 (0.40780) Boundary_loss: 0.012950 (0.012998) Loss: 0.47992 (0.42079) +2025-08-22,21:03:13 | INFO | Train Epoch: 6 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.43014 (0.40797) Boundary_loss: 0.013026 (0.012998) Loss: 0.44316 (0.42097) +2025-08-22,21:04:12 | INFO | Train Epoch: 6 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.38606 (0.40780) Boundary_loss: 0.013073 (0.012999) Loss: 0.39913 (0.42080) +2025-08-22,21:05:11 | INFO | Train Epoch: 6 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.37946 (0.40758) Boundary_loss: 0.012913 (0.012998) Loss: 0.39237 (0.42058) +2025-08-22,21:06:09 | INFO | Train Epoch: 6 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.41530 (0.40764) Boundary_loss: 0.013026 (0.012998) Loss: 0.42832 (0.42064) +2025-08-22,21:07:08 | INFO | Train Epoch: 6 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.40623 (0.40763) Boundary_loss: 0.012940 (0.012998) Loss: 0.41917 (0.42063) +2025-08-22,21:08:07 | INFO | Train Epoch: 6 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.39256 (0.40752) Boundary_loss: 0.012864 (0.012997) Loss: 0.40543 (0.42052) +2025-08-22,21:09:06 | INFO | Train Epoch: 6 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.48766 (0.40812) Boundary_loss: 0.013058 (0.012997) Loss: 0.50071 (0.42111) +2025-08-22,21:10:05 | INFO | Train Epoch: 6 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.47102 (0.40858) Boundary_loss: 0.013104 (0.012998) Loss: 0.48412 (0.42158) +2025-08-22,21:11:03 | INFO | Train Epoch: 6 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.50742 (0.40931) Boundary_loss: 0.012982 (0.012998) Loss: 0.52040 (0.42231) +2025-08-22,21:12:02 | INFO | Train Epoch: 6 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.39047 (0.40917) Boundary_loss: 0.012951 (0.012998) Loss: 0.40342 (0.42217) +2025-08-22,21:13:01 | INFO | Train Epoch: 6 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.38870 (0.40902) Boundary_loss: 0.013018 (0.012998) Loss: 0.40171 (0.42202) +2025-08-22,21:13:59 | INFO | Train Epoch: 6 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.30527 (0.40828) Boundary_loss: 0.013018 (0.012998) Loss: 0.31829 (0.42127) +2025-08-22,21:14:58 | INFO | Train Epoch: 6 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.35341 (0.40788) Boundary_loss: 0.012985 (0.012998) Loss: 0.36639 (0.42088) +2025-08-22,21:15:57 | INFO | Train Epoch: 6 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.37841 (0.40768) Boundary_loss: 0.012881 (0.012997) Loss: 0.39129 (0.42067) +2025-08-22,21:16:56 | INFO | Train Epoch: 6 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.47079 (0.40812) Boundary_loss: 0.012873 (0.012996) Loss: 0.48367 (0.42112) +2025-08-22,21:17:55 | INFO | Train Epoch: 6 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.35463 (0.40775) Boundary_loss: 0.013036 (0.012996) Loss: 0.36766 (0.42074) +2025-08-22,21:18:53 | INFO | Train Epoch: 6 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.37110 (0.40749) Boundary_loss: 0.012909 (0.012996) Loss: 0.38401 (0.42049) +2025-08-22,21:19:52 | INFO | Train Epoch: 6 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.35203 (0.40711) Boundary_loss: 0.012989 (0.012996) Loss: 0.36501 (0.42010) +2025-08-22,21:20:51 | INFO | Train Epoch: 6 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.42140 (0.40721) Boundary_loss: 0.012859 (0.012995) Loss: 0.43426 (0.42020) +2025-08-22,21:21:50 | INFO | Train Epoch: 6 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.46064 (0.40757) Boundary_loss: 0.012994 (0.012995) Loss: 0.47363 (0.42057) +2025-08-22,21:22:49 | INFO | Train Epoch: 6 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.44844 (0.40785) Boundary_loss: 0.012928 (0.012994) Loss: 0.46137 (0.42084) +2025-08-22,21:23:47 | INFO | Train Epoch: 6 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.39162 (0.40774) Boundary_loss: 0.012986 (0.012994) Loss: 0.40460 (0.42073) +2025-08-22,21:24:46 | INFO | Train Epoch: 6 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.36359 (0.40744) Boundary_loss: 0.012977 (0.012994) Loss: 0.37656 (0.42044) +2025-08-22,21:25:45 | INFO | Train Epoch: 6 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.39367 (0.40735) Boundary_loss: 0.012999 (0.012994) Loss: 0.40667 (0.42035) +2025-08-22,21:26:44 | INFO | Train Epoch: 6 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 18.990 Boundary Ratio: 0.097 Contrastive_loss: 0.34107 (0.40692) Boundary_loss: 0.013010 (0.012994) Loss: 0.35408 (0.41991) +2025-08-22,21:27:42 | INFO | Train Epoch: 6 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.33892 (0.40647) Boundary_loss: 0.012938 (0.012994) Loss: 0.35186 (0.41947) +2025-08-22,21:28:41 | INFO | Train Epoch: 6 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.37257 (0.40625) Boundary_loss: 0.012941 (0.012994) Loss: 0.38551 (0.41925) +2025-08-22,21:29:40 | INFO | Train Epoch: 6 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.38894 (0.40614) Boundary_loss: 0.012914 (0.012993) Loss: 0.40186 (0.41913) +2025-08-22,21:30:39 | INFO | Train Epoch: 6 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 18.979 Boundary Ratio: 0.097 Contrastive_loss: 0.42686 (0.40627) Boundary_loss: 0.012941 (0.012993) Loss: 0.43980 (0.41927) +2025-08-22,21:31:37 | INFO | Train Epoch: 6 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.44605 (0.40653) Boundary_loss: 0.013011 (0.012993) Loss: 0.45906 (0.41952) +2025-08-22,21:32:36 | INFO | Train Epoch: 6 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.38906 (0.40642) Boundary_loss: 0.012913 (0.012992) Loss: 0.40197 (0.41941) +2025-08-22,21:33:35 | INFO | Train Epoch: 6 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.37277 (0.40620) Boundary_loss: 0.012938 (0.012992) Loss: 0.38571 (0.41920) +2025-08-22,21:34:34 | INFO | Train Epoch: 6 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 18.990 Boundary Ratio: 0.097 Contrastive_loss: 0.40006 (0.40617) Boundary_loss: 0.013127 (0.012993) Loss: 0.41318 (0.41916) +2025-08-22,21:35:33 | INFO | Train Epoch: 6 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.42481 (0.40628) Boundary_loss: 0.012963 (0.012993) Loss: 0.43777 (0.41927) +2025-08-22,21:36:31 | INFO | Train Epoch: 6 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.34847 (0.40592) Boundary_loss: 0.013058 (0.012993) Loss: 0.36153 (0.41892) +2025-08-22,21:37:30 | INFO | Train Epoch: 6 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.35341 (0.40560) Boundary_loss: 0.013012 (0.012993) Loss: 0.36642 (0.41860) +2025-08-22,21:38:29 | INFO | Train Epoch: 6 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.574 Boundary Ratio: 0.100 Contrastive_loss: 0.52051 (0.40630) Boundary_loss: 0.012969 (0.012993) Loss: 0.53348 (0.41930) +2025-08-22,21:39:28 | INFO | Train Epoch: 6 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.35268 (0.40598) Boundary_loss: 0.012967 (0.012993) Loss: 0.36565 (0.41897) +2025-08-22,21:40:27 | INFO | Train Epoch: 6 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.39083 (0.40589) Boundary_loss: 0.012864 (0.012992) Loss: 0.40369 (0.41888) +2025-08-22,21:41:25 | INFO | Train Epoch: 6 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.38463 (0.40576) Boundary_loss: 0.013108 (0.012993) Loss: 0.39774 (0.41875) +2025-08-22,21:42:24 | INFO | Train Epoch: 6 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 0.35286 (0.40544) Boundary_loss: 0.012978 (0.012993) Loss: 0.36584 (0.41844) +2025-08-22,21:43:23 | INFO | Train Epoch: 6 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.33755 (0.40504) Boundary_loss: 0.013077 (0.012993) Loss: 0.35062 (0.41804) +2025-08-22,21:44:22 | INFO | Train Epoch: 6 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.38051 (0.40490) Boundary_loss: 0.013099 (0.012994) Loss: 0.39361 (0.41789) +2025-08-22,21:45:21 | INFO | Train Epoch: 6 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.45417 (0.40519) Boundary_loss: 0.012981 (0.012994) Loss: 0.46715 (0.41818) +2025-08-22,21:46:20 | INFO | Train Epoch: 6 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.45207 (0.40546) Boundary_loss: 0.013113 (0.012995) Loss: 0.46518 (0.41845) +2025-08-22,21:47:18 | INFO | Train Epoch: 6 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.41042 (0.40549) Boundary_loss: 0.012979 (0.012994) Loss: 0.42339 (0.41848) +2025-08-22,21:48:17 | INFO | Train Epoch: 6 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.641 Boundary Ratio: 0.100 Contrastive_loss: 0.33712 (0.40509) Boundary_loss: 0.012948 (0.012994) Loss: 0.35007 (0.41809) +2025-08-22,21:49:16 | INFO | Train Epoch: 6 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.43461 (0.40526) Boundary_loss: 0.012858 (0.012993) Loss: 0.44747 (0.41826) +2025-08-22,21:50:15 | INFO | Train Epoch: 6 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.39685 (0.40522) Boundary_loss: 0.012901 (0.012993) Loss: 0.40975 (0.41821) +2025-08-22,21:51:14 | INFO | Train Epoch: 6 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.35753 (0.40495) Boundary_loss: 0.012917 (0.012992) Loss: 0.37044 (0.41794) +2025-08-22,21:52:12 | INFO | Train Epoch: 6 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.34944 (0.40463) Boundary_loss: 0.012852 (0.012992) Loss: 0.36229 (0.41763) +2025-08-22,21:53:11 | INFO | Train Epoch: 6 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.37854 (0.40449) Boundary_loss: 0.012962 (0.012991) Loss: 0.39150 (0.41748) +2025-08-22,21:54:10 | INFO | Train Epoch: 6 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.37033 (0.40430) Boundary_loss: 0.012980 (0.012991) Loss: 0.38331 (0.41729) +2025-08-22,21:55:09 | INFO | Train Epoch: 6 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.42210 (0.40440) Boundary_loss: 0.013042 (0.012992) Loss: 0.43514 (0.41739) +2025-08-22,21:56:08 | INFO | Train Epoch: 6 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.44525 (0.40462) Boundary_loss: 0.013016 (0.012992) Loss: 0.45827 (0.41761) +2025-08-22,21:57:06 | INFO | Train Epoch: 6 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 18.936 Boundary Ratio: 0.097 Contrastive_loss: 0.39511 (0.40457) Boundary_loss: 0.012891 (0.012991) Loss: 0.40800 (0.41756) +2025-08-22,21:58:05 | INFO | Train Epoch: 6 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.42863 (0.40470) Boundary_loss: 0.012988 (0.012991) Loss: 0.44162 (0.41769) +2025-08-22,21:59:04 | INFO | Train Epoch: 6 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.38967 (0.40462) Boundary_loss: 0.013191 (0.012992) Loss: 0.40286 (0.41761) +2025-08-22,22:00:03 | INFO | Train Epoch: 6 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.717 Boundary Ratio: 0.101 Contrastive_loss: 0.41146 (0.40466) Boundary_loss: 0.013118 (0.012993) Loss: 0.42457 (0.41765) +2025-08-22,22:01:02 | INFO | Train Epoch: 6 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.36792 (0.40446) Boundary_loss: 0.012931 (0.012993) Loss: 0.38085 (0.41745) +2025-08-22,22:02:01 | INFO | Train Epoch: 6 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.41079 (0.40449) Boundary_loss: 0.013111 (0.012993) Loss: 0.42390 (0.41749) +2025-08-22,22:02:59 | INFO | Train Epoch: 6 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.47110 (0.40485) Boundary_loss: 0.012945 (0.012993) Loss: 0.48405 (0.41784) +2025-08-22,22:03:58 | INFO | Train Epoch: 6 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.37271 (0.40468) Boundary_loss: 0.012953 (0.012993) Loss: 0.38566 (0.41767) +2025-08-22,22:04:57 | INFO | Train Epoch: 6 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.43342 (0.40483) Boundary_loss: 0.012952 (0.012993) Loss: 0.44638 (0.41782) +2025-08-22,22:05:56 | INFO | Train Epoch: 6 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.35738 (0.40458) Boundary_loss: 0.013069 (0.012993) Loss: 0.37045 (0.41757) +2025-08-22,22:06:54 | INFO | Train Epoch: 6 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.43429 (0.40473) Boundary_loss: 0.012971 (0.012993) Loss: 0.44727 (0.41773) +2025-08-22,22:07:53 | INFO | Train Epoch: 6 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.41954 (0.40481) Boundary_loss: 0.012896 (0.012992) Loss: 0.43243 (0.41780) +2025-08-22,22:08:52 | INFO | Train Epoch: 6 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 18.883 Boundary Ratio: 0.096 Contrastive_loss: 0.30733 (0.40431) Boundary_loss: 0.013001 (0.012992) Loss: 0.32033 (0.41730) +2025-08-22,22:09:51 | INFO | Train Epoch: 6 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.42681 (0.40443) Boundary_loss: 0.012887 (0.012992) Loss: 0.43970 (0.41742) +2025-08-22,22:10:50 | INFO | Train Epoch: 6 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.34645 (0.40413) Boundary_loss: 0.012974 (0.012992) Loss: 0.35943 (0.41712) +2025-08-22,22:11:49 | INFO | Train Epoch: 6 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.41221 (0.40417) Boundary_loss: 0.013057 (0.012992) Loss: 0.42527 (0.41716) +2025-08-22,22:12:47 | INFO | Train Epoch: 6 [10138112/26365952 (38%)] Avg Boundaries (per batch): 18.850 Boundary Ratio: 0.096 Contrastive_loss: 0.36202 (0.40396) Boundary_loss: 0.012971 (0.012992) Loss: 0.37499 (0.41695) +2025-08-22,22:13:46 | INFO | Train Epoch: 6 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.36587 (0.40377) Boundary_loss: 0.012979 (0.012992) Loss: 0.37885 (0.41676) +2025-08-22,22:14:45 | INFO | Train Epoch: 6 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.33903 (0.40345) Boundary_loss: 0.013018 (0.012992) Loss: 0.35205 (0.41644) +2025-08-22,22:15:44 | INFO | Train Epoch: 6 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.37699 (0.40332) Boundary_loss: 0.013004 (0.012992) Loss: 0.38999 (0.41631) +2025-08-22,22:16:42 | INFO | Train Epoch: 6 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.49002 (0.40374) Boundary_loss: 0.013006 (0.012992) Loss: 0.50303 (0.41674) +2025-08-22,22:17:41 | INFO | Train Epoch: 6 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.46757 (0.40406) Boundary_loss: 0.012914 (0.012992) Loss: 0.48048 (0.41705) +2025-08-22,22:18:40 | INFO | Train Epoch: 6 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.35995 (0.40384) Boundary_loss: 0.012903 (0.012991) Loss: 0.37285 (0.41683) +2025-08-22,22:19:39 | INFO | Train Epoch: 6 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.42456 (0.40394) Boundary_loss: 0.013001 (0.012991) Loss: 0.43756 (0.41693) +2025-08-22,22:20:37 | INFO | Train Epoch: 6 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.47747 (0.40430) Boundary_loss: 0.012991 (0.012991) Loss: 0.49046 (0.41729) +2025-08-22,22:21:36 | INFO | Train Epoch: 6 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.46449 (0.40459) Boundary_loss: 0.012861 (0.012991) Loss: 0.47735 (0.41758) +2025-08-22,22:22:35 | INFO | Train Epoch: 6 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.33427 (0.40425) Boundary_loss: 0.012982 (0.012991) Loss: 0.34725 (0.41724) +2025-08-22,22:23:34 | INFO | Train Epoch: 6 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 0.38168 (0.40414) Boundary_loss: 0.013005 (0.012991) Loss: 0.39469 (0.41713) +2025-08-22,22:24:32 | INFO | Train Epoch: 6 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.49162 (0.40456) Boundary_loss: 0.013062 (0.012991) Loss: 0.50468 (0.41755) +2025-08-22,22:25:31 | INFO | Train Epoch: 6 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.41490 (0.40461) Boundary_loss: 0.012898 (0.012991) Loss: 0.42779 (0.41760) +2025-08-22,22:26:30 | INFO | Train Epoch: 6 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.719 Boundary Ratio: 0.101 Contrastive_loss: 0.42006 (0.40468) Boundary_loss: 0.012981 (0.012991) Loss: 0.43304 (0.41767) +2025-08-22,22:27:29 | INFO | Train Epoch: 6 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.37569 (0.40454) Boundary_loss: 0.012853 (0.012990) Loss: 0.38854 (0.41753) +2025-08-22,22:28:27 | INFO | Train Epoch: 6 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.49546 (0.40497) Boundary_loss: 0.012942 (0.012990) Loss: 0.50840 (0.41796) +2025-08-22,22:29:26 | INFO | Train Epoch: 6 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.38397 (0.40487) Boundary_loss: 0.013177 (0.012991) Loss: 0.39715 (0.41786) +2025-08-22,22:30:25 | INFO | Train Epoch: 6 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.39035 (0.40480) Boundary_loss: 0.012931 (0.012990) Loss: 0.40329 (0.41779) +2025-08-22,22:31:24 | INFO | Train Epoch: 6 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.51514 (0.40531) Boundary_loss: 0.013015 (0.012991) Loss: 0.52815 (0.41830) +2025-08-22,22:32:22 | INFO | Train Epoch: 6 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.40558 (0.40531) Boundary_loss: 0.012960 (0.012990) Loss: 0.41854 (0.41830) +2025-08-22,22:33:21 | INFO | Train Epoch: 6 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.43669 (0.40545) Boundary_loss: 0.013020 (0.012991) Loss: 0.44971 (0.41844) +2025-08-22,22:34:20 | INFO | Train Epoch: 6 [11264512/26365952 (43%)] Avg Boundaries (per batch): 18.918 Boundary Ratio: 0.097 Contrastive_loss: 0.36067 (0.40525) Boundary_loss: 0.013010 (0.012991) Loss: 0.37368 (0.41824) +2025-08-22,22:35:19 | INFO | Train Epoch: 6 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.39871 (0.40522) Boundary_loss: 0.013007 (0.012991) Loss: 0.41172 (0.41821) +2025-08-22,22:36:18 | INFO | Train Epoch: 6 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.41636 (0.40527) Boundary_loss: 0.012942 (0.012991) Loss: 0.42930 (0.41826) +2025-08-22,22:37:16 | INFO | Train Epoch: 6 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.28587 (0.40474) Boundary_loss: 0.012954 (0.012990) Loss: 0.29882 (0.41773) +2025-08-22,22:38:15 | INFO | Train Epoch: 6 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.41827 (0.40480) Boundary_loss: 0.012913 (0.012990) Loss: 0.43118 (0.41779) +2025-08-22,22:39:14 | INFO | Train Epoch: 6 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.36541 (0.40462) Boundary_loss: 0.013093 (0.012990) Loss: 0.37851 (0.41761) +2025-08-22,22:40:13 | INFO | Train Epoch: 6 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.42762 (0.40472) Boundary_loss: 0.012953 (0.012990) Loss: 0.44057 (0.41771) +2025-08-22,22:41:12 | INFO | Train Epoch: 6 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.34476 (0.40446) Boundary_loss: 0.013026 (0.012990) Loss: 0.35778 (0.41745) +2025-08-22,22:42:10 | INFO | Train Epoch: 6 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.36418 (0.40428) Boundary_loss: 0.013101 (0.012991) Loss: 0.37728 (0.41728) +2025-08-22,22:43:09 | INFO | Train Epoch: 6 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.31951 (0.40392) Boundary_loss: 0.012982 (0.012991) Loss: 0.33249 (0.41691) +2025-08-22,22:44:08 | INFO | Train Epoch: 6 [11776512/26365952 (45%)] Avg Boundaries (per batch): 18.977 Boundary Ratio: 0.097 Contrastive_loss: 0.40101 (0.40390) Boundary_loss: 0.012953 (0.012991) Loss: 0.41396 (0.41689) +2025-08-22,22:45:07 | INFO | Train Epoch: 6 [11827712/26365952 (45%)] Avg Boundaries (per batch): 18.967 Boundary Ratio: 0.097 Contrastive_loss: 0.41313 (0.40394) Boundary_loss: 0.012892 (0.012990) Loss: 0.42602 (0.41693) +2025-08-22,22:46:05 | INFO | Train Epoch: 6 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.43269 (0.40407) Boundary_loss: 0.012994 (0.012990) Loss: 0.44569 (0.41706) +2025-08-22,22:47:04 | INFO | Train Epoch: 6 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.37575 (0.40395) Boundary_loss: 0.012951 (0.012990) Loss: 0.38870 (0.41694) +2025-08-22,22:48:03 | INFO | Train Epoch: 6 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.50245 (0.40436) Boundary_loss: 0.013062 (0.012990) Loss: 0.51551 (0.41736) +2025-08-22,22:49:02 | INFO | Train Epoch: 6 [12032512/26365952 (46%)] Avg Boundaries (per batch): 18.586 Boundary Ratio: 0.095 Contrastive_loss: 0.37051 (0.40422) Boundary_loss: 0.012981 (0.012990) Loss: 0.38349 (0.41721) +2025-08-22,22:50:01 | INFO | Train Epoch: 6 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.41496 (0.40427) Boundary_loss: 0.012876 (0.012990) Loss: 0.42784 (0.41726) +2025-08-22,22:50:59 | INFO | Train Epoch: 6 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.41349 (0.40431) Boundary_loss: 0.012979 (0.012990) Loss: 0.42647 (0.41730) +2025-08-22,22:51:58 | INFO | Train Epoch: 6 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.39712 (0.40428) Boundary_loss: 0.012875 (0.012989) Loss: 0.40999 (0.41726) +2025-08-22,22:52:57 | INFO | Train Epoch: 6 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.39796 (0.40425) Boundary_loss: 0.012944 (0.012989) Loss: 0.41091 (0.41724) +2025-08-22,22:53:56 | INFO | Train Epoch: 6 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.44748 (0.40443) Boundary_loss: 0.013038 (0.012989) Loss: 0.46052 (0.41742) +2025-08-22,22:54:54 | INFO | Train Epoch: 6 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.43178 (0.40454) Boundary_loss: 0.012956 (0.012989) Loss: 0.44473 (0.41753) +2025-08-22,22:55:53 | INFO | Train Epoch: 6 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.023 Boundary Ratio: 0.097 Contrastive_loss: 0.35814 (0.40435) Boundary_loss: 0.012928 (0.012989) Loss: 0.37107 (0.41734) +2025-08-22,22:56:52 | INFO | Train Epoch: 6 [12442112/26365952 (47%)] Avg Boundaries (per batch): 18.789 Boundary Ratio: 0.096 Contrastive_loss: 0.38435 (0.40427) Boundary_loss: 0.012988 (0.012989) Loss: 0.39734 (0.41726) +2025-08-22,22:57:51 | INFO | Train Epoch: 6 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.42977 (0.40437) Boundary_loss: 0.012954 (0.012989) Loss: 0.44273 (0.41736) +2025-08-22,22:58:49 | INFO | Train Epoch: 6 [12544512/26365952 (48%)] Avg Boundaries (per batch): 18.986 Boundary Ratio: 0.097 Contrastive_loss: 0.37346 (0.40425) Boundary_loss: 0.012913 (0.012989) Loss: 0.38637 (0.41724) +2025-08-22,22:59:48 | INFO | Train Epoch: 6 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.38306 (0.40416) Boundary_loss: 0.013045 (0.012989) Loss: 0.39611 (0.41715) +2025-08-22,23:00:47 | INFO | Train Epoch: 6 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.43142 (0.40427) Boundary_loss: 0.013035 (0.012989) Loss: 0.44446 (0.41726) +2025-08-22,23:01:45 | INFO | Train Epoch: 6 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.34665 (0.40404) Boundary_loss: 0.012930 (0.012989) Loss: 0.35958 (0.41703) +2025-08-22,23:02:44 | INFO | Train Epoch: 6 [12749312/26365952 (48%)] Avg Boundaries (per batch): 18.850 Boundary Ratio: 0.096 Contrastive_loss: 0.37716 (0.40393) Boundary_loss: 0.013100 (0.012989) Loss: 0.39026 (0.41692) +2025-08-22,23:03:43 | INFO | Train Epoch: 6 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.39101 (0.40388) Boundary_loss: 0.013073 (0.012990) Loss: 0.40408 (0.41687) +2025-08-22,23:04:42 | INFO | Train Epoch: 6 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.45014 (0.40406) Boundary_loss: 0.013028 (0.012990) Loss: 0.46317 (0.41705) +2025-08-22,23:05:40 | INFO | Train Epoch: 6 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.43548 (0.40419) Boundary_loss: 0.012997 (0.012990) Loss: 0.44848 (0.41718) +2025-08-22,23:06:39 | INFO | Train Epoch: 6 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.34875 (0.40397) Boundary_loss: 0.013125 (0.012990) Loss: 0.36188 (0.41696) +2025-08-22,23:07:38 | INFO | Train Epoch: 6 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.35801 (0.40379) Boundary_loss: 0.012871 (0.012990) Loss: 0.37088 (0.41678) +2025-08-22,23:08:36 | INFO | Train Epoch: 6 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.41383 (0.40383) Boundary_loss: 0.013012 (0.012990) Loss: 0.42684 (0.41682) +2025-08-22,23:09:35 | INFO | Train Epoch: 6 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.31957 (0.40350) Boundary_loss: 0.013029 (0.012990) Loss: 0.33260 (0.41649) +2025-08-22,23:10:34 | INFO | Train Epoch: 6 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.44666 (0.40367) Boundary_loss: 0.012869 (0.012990) Loss: 0.45953 (0.41666) +2025-08-22,23:11:33 | INFO | Train Epoch: 6 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.43942 (0.40381) Boundary_loss: 0.012996 (0.012990) Loss: 0.45242 (0.41680) +2025-08-22,23:12:32 | INFO | Train Epoch: 6 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.40703 (0.40382) Boundary_loss: 0.012991 (0.012990) Loss: 0.42002 (0.41681) +2025-08-22,23:13:30 | INFO | Train Epoch: 6 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.49939 (0.40419) Boundary_loss: 0.012879 (0.012989) Loss: 0.51227 (0.41717) +2025-08-22,23:14:29 | INFO | Train Epoch: 6 [13363712/26365952 (51%)] Avg Boundaries (per batch): 18.963 Boundary Ratio: 0.097 Contrastive_loss: 0.39007 (0.40413) Boundary_loss: 0.013093 (0.012990) Loss: 0.40316 (0.41712) +2025-08-22,23:15:28 | INFO | Train Epoch: 6 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.37961 (0.40404) Boundary_loss: 0.012989 (0.012990) Loss: 0.39260 (0.41703) +2025-08-22,23:16:27 | INFO | Train Epoch: 6 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.38642 (0.40397) Boundary_loss: 0.013037 (0.012990) Loss: 0.39946 (0.41696) +2025-08-22,23:17:26 | INFO | Train Epoch: 6 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.42757 (0.40406) Boundary_loss: 0.013012 (0.012990) Loss: 0.44058 (0.41705) +2025-08-22,23:18:24 | INFO | Train Epoch: 6 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.29124 (0.40364) Boundary_loss: 0.012993 (0.012990) Loss: 0.30423 (0.41663) +2025-08-22,23:19:23 | INFO | Train Epoch: 6 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.41403 (0.40368) Boundary_loss: 0.012956 (0.012990) Loss: 0.42698 (0.41666) +2025-08-22,23:20:22 | INFO | Train Epoch: 6 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.40914 (0.40370) Boundary_loss: 0.013019 (0.012990) Loss: 0.42216 (0.41669) +2025-08-22,23:21:21 | INFO | Train Epoch: 6 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.32527 (0.40340) Boundary_loss: 0.013025 (0.012990) Loss: 0.33830 (0.41639) +2025-08-22,23:22:20 | INFO | Train Epoch: 6 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.43356 (0.40352) Boundary_loss: 0.012976 (0.012990) Loss: 0.44654 (0.41651) +2025-08-22,23:23:18 | INFO | Train Epoch: 6 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.42476 (0.40359) Boundary_loss: 0.012963 (0.012990) Loss: 0.43772 (0.41658) +2025-08-22,23:24:17 | INFO | Train Epoch: 6 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.36591 (0.40346) Boundary_loss: 0.012887 (0.012989) Loss: 0.37880 (0.41645) +2025-08-22,23:25:16 | INFO | Train Epoch: 6 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.44491 (0.40361) Boundary_loss: 0.013009 (0.012989) Loss: 0.45792 (0.41660) +2025-08-22,23:26:15 | INFO | Train Epoch: 6 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.45548 (0.40380) Boundary_loss: 0.012903 (0.012989) Loss: 0.46838 (0.41679) +2025-08-22,23:27:13 | INFO | Train Epoch: 6 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.54109 (0.40430) Boundary_loss: 0.013013 (0.012989) Loss: 0.55410 (0.41729) +2025-08-22,23:28:12 | INFO | Train Epoch: 6 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.39111 (0.40425) Boundary_loss: 0.012986 (0.012989) Loss: 0.40409 (0.41724) +2025-08-22,23:29:11 | INFO | Train Epoch: 6 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.38513 (0.40418) Boundary_loss: 0.013037 (0.012989) Loss: 0.39817 (0.41717) +2025-08-22,23:30:10 | INFO | Train Epoch: 6 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.38748 (0.40412) Boundary_loss: 0.012980 (0.012989) Loss: 0.40046 (0.41711) +2025-08-22,23:31:09 | INFO | Train Epoch: 6 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.42868 (0.40421) Boundary_loss: 0.012991 (0.012989) Loss: 0.44167 (0.41720) +2025-08-22,23:32:08 | INFO | Train Epoch: 6 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.35357 (0.40403) Boundary_loss: 0.012905 (0.012989) Loss: 0.36647 (0.41702) +2025-08-22,23:33:06 | INFO | Train Epoch: 6 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.49425 (0.40435) Boundary_loss: 0.012923 (0.012989) Loss: 0.50717 (0.41734) +2025-08-22,23:34:05 | INFO | Train Epoch: 6 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.39116 (0.40430) Boundary_loss: 0.012990 (0.012989) Loss: 0.40415 (0.41729) +2025-08-22,23:35:04 | INFO | Train Epoch: 6 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.49281 (0.40461) Boundary_loss: 0.013015 (0.012989) Loss: 0.50582 (0.41760) +2025-08-22,23:36:03 | INFO | Train Epoch: 6 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.40285 (0.40461) Boundary_loss: 0.012986 (0.012989) Loss: 0.41583 (0.41760) +2025-08-22,23:37:01 | INFO | Train Epoch: 6 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.39432 (0.40457) Boundary_loss: 0.012966 (0.012989) Loss: 0.40728 (0.41756) +2025-08-22,23:38:00 | INFO | Train Epoch: 6 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.32837 (0.40430) Boundary_loss: 0.013006 (0.012989) Loss: 0.34137 (0.41729) +2025-08-22,23:38:59 | INFO | Train Epoch: 6 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.39243 (0.40426) Boundary_loss: 0.013016 (0.012989) Loss: 0.40545 (0.41725) +2025-08-22,23:39:58 | INFO | Train Epoch: 6 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.611 Boundary Ratio: 0.100 Contrastive_loss: 0.47090 (0.40449) Boundary_loss: 0.013009 (0.012989) Loss: 0.48391 (0.41748) +2025-08-22,23:40:57 | INFO | Train Epoch: 6 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.45702 (0.40468) Boundary_loss: 0.012870 (0.012989) Loss: 0.46989 (0.41767) +2025-08-22,23:41:55 | INFO | Train Epoch: 6 [14797312/26365952 (56%)] Avg Boundaries (per batch): 18.889 Boundary Ratio: 0.096 Contrastive_loss: 0.40463 (0.40468) Boundary_loss: 0.012965 (0.012989) Loss: 0.41759 (0.41766) +2025-08-22,23:42:54 | INFO | Train Epoch: 6 [14848512/26365952 (56%)] Avg Boundaries (per batch): 18.941 Boundary Ratio: 0.097 Contrastive_loss: 0.38972 (0.40462) Boundary_loss: 0.012929 (0.012988) Loss: 0.40265 (0.41761) +2025-08-22,23:43:53 | INFO | Train Epoch: 6 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.30028 (0.40427) Boundary_loss: 0.013018 (0.012988) Loss: 0.31329 (0.41726) +2025-08-22,23:44:52 | INFO | Train Epoch: 6 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.40894 (0.40428) Boundary_loss: 0.012974 (0.012988) Loss: 0.42191 (0.41727) +2025-08-22,23:45:50 | INFO | Train Epoch: 6 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.568 Boundary Ratio: 0.100 Contrastive_loss: 0.42575 (0.40436) Boundary_loss: 0.012924 (0.012988) Loss: 0.43867 (0.41734) +2025-08-22,23:46:49 | INFO | Train Epoch: 6 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 0.41656 (0.40440) Boundary_loss: 0.013021 (0.012988) Loss: 0.42958 (0.41739) +2025-08-22,23:47:48 | INFO | Train Epoch: 6 [15104512/26365952 (57%)] Avg Boundaries (per batch): 18.848 Boundary Ratio: 0.096 Contrastive_loss: 0.44645 (0.40454) Boundary_loss: 0.012964 (0.012988) Loss: 0.45941 (0.41753) +2025-08-22,23:48:47 | INFO | Train Epoch: 6 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.37507 (0.40444) Boundary_loss: 0.012958 (0.012988) Loss: 0.38803 (0.41743) +2025-08-22,23:49:46 | INFO | Train Epoch: 6 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.31853 (0.40415) Boundary_loss: 0.012928 (0.012988) Loss: 0.33145 (0.41714) +2025-08-22,23:50:45 | INFO | Train Epoch: 6 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.602 Boundary Ratio: 0.100 Contrastive_loss: 0.45700 (0.40433) Boundary_loss: 0.012997 (0.012988) Loss: 0.47000 (0.41732) +2025-08-22,23:51:43 | INFO | Train Epoch: 6 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.41322 (0.40436) Boundary_loss: 0.013022 (0.012988) Loss: 0.42624 (0.41735) +2025-08-22,23:52:42 | INFO | Train Epoch: 6 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.36898 (0.40424) Boundary_loss: 0.012935 (0.012988) Loss: 0.38191 (0.41723) +2025-08-22,23:53:41 | INFO | Train Epoch: 6 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.40990 (0.40426) Boundary_loss: 0.012936 (0.012988) Loss: 0.42284 (0.41725) +2025-08-22,23:54:40 | INFO | Train Epoch: 6 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.41442 (0.40429) Boundary_loss: 0.012972 (0.012988) Loss: 0.42739 (0.41728) +2025-08-22,23:55:38 | INFO | Train Epoch: 6 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.42244 (0.40435) Boundary_loss: 0.012892 (0.012987) Loss: 0.43533 (0.41734) +2025-08-22,23:56:37 | INFO | Train Epoch: 6 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.40730 (0.40436) Boundary_loss: 0.012991 (0.012987) Loss: 0.42029 (0.41735) +2025-08-22,23:57:36 | INFO | Train Epoch: 6 [15616512/26365952 (59%)] Avg Boundaries (per batch): 18.896 Boundary Ratio: 0.096 Contrastive_loss: 0.44644 (0.40450) Boundary_loss: 0.012968 (0.012987) Loss: 0.45940 (0.41749) +2025-08-22,23:58:35 | INFO | Train Epoch: 6 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.43333 (0.40459) Boundary_loss: 0.013102 (0.012988) Loss: 0.44643 (0.41758) +2025-08-22,23:59:34 | INFO | Train Epoch: 6 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.594 Boundary Ratio: 0.100 Contrastive_loss: 0.32491 (0.40434) Boundary_loss: 0.012753 (0.012987) Loss: 0.33767 (0.41732) +2025-08-23,00:00:32 | INFO | Train Epoch: 6 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.43528 (0.40444) Boundary_loss: 0.013002 (0.012987) Loss: 0.44828 (0.41742) +2025-08-23,00:01:31 | INFO | Train Epoch: 6 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.33297 (0.40421) Boundary_loss: 0.012954 (0.012987) Loss: 0.34593 (0.41719) +2025-08-23,00:02:30 | INFO | Train Epoch: 6 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.45725 (0.40438) Boundary_loss: 0.012861 (0.012986) Loss: 0.47012 (0.41736) +2025-08-23,00:03:29 | INFO | Train Epoch: 6 [15923712/26365952 (60%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 0.38787 (0.40432) Boundary_loss: 0.012981 (0.012986) Loss: 0.40085 (0.41731) +2025-08-23,00:04:28 | INFO | Train Epoch: 6 [15974912/26365952 (61%)] Avg Boundaries (per batch): 18.875 Boundary Ratio: 0.096 Contrastive_loss: 0.39841 (0.40430) Boundary_loss: 0.013104 (0.012987) Loss: 0.41151 (0.41729) +2025-08-23,00:05:27 | INFO | Train Epoch: 6 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.41499 (0.40434) Boundary_loss: 0.012992 (0.012987) Loss: 0.42798 (0.41732) +2025-08-23,00:06:25 | INFO | Train Epoch: 6 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.41218 (0.40436) Boundary_loss: 0.012879 (0.012987) Loss: 0.42506 (0.41735) +2025-08-23,00:07:24 | INFO | Train Epoch: 6 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 0.40802 (0.40437) Boundary_loss: 0.013060 (0.012987) Loss: 0.42108 (0.41736) +2025-08-23,00:08:23 | INFO | Train Epoch: 6 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.46287 (0.40456) Boundary_loss: 0.012957 (0.012987) Loss: 0.47582 (0.41755) +2025-08-23,00:09:22 | INFO | Train Epoch: 6 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.38778 (0.40451) Boundary_loss: 0.012982 (0.012987) Loss: 0.40076 (0.41749) +2025-08-23,00:10:21 | INFO | Train Epoch: 6 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.40815 (0.40452) Boundary_loss: 0.013013 (0.012987) Loss: 0.42117 (0.41750) +2025-08-23,00:11:19 | INFO | Train Epoch: 6 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.36850 (0.40441) Boundary_loss: 0.013009 (0.012987) Loss: 0.38151 (0.41739) +2025-08-23,00:12:18 | INFO | Train Epoch: 6 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.41608 (0.40444) Boundary_loss: 0.013028 (0.012987) Loss: 0.42911 (0.41743) +2025-08-23,00:13:17 | INFO | Train Epoch: 6 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.45084 (0.40459) Boundary_loss: 0.012942 (0.012987) Loss: 0.46378 (0.41757) +2025-08-23,00:14:16 | INFO | Train Epoch: 6 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.39856 (0.40457) Boundary_loss: 0.012920 (0.012987) Loss: 0.41148 (0.41755) +2025-08-23,00:15:15 | INFO | Train Epoch: 6 [16538112/26365952 (63%)] Avg Boundaries (per batch): 18.828 Boundary Ratio: 0.096 Contrastive_loss: 0.34890 (0.40439) Boundary_loss: 0.012900 (0.012986) Loss: 0.36180 (0.41738) +2025-08-23,00:16:13 | INFO | Train Epoch: 6 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.40425 (0.40439) Boundary_loss: 0.013070 (0.012987) Loss: 0.41732 (0.41738) +2025-08-23,00:17:12 | INFO | Train Epoch: 6 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.32427 (0.40415) Boundary_loss: 0.012872 (0.012986) Loss: 0.33714 (0.41713) +2025-08-23,00:18:11 | INFO | Train Epoch: 6 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.41481 (0.40418) Boundary_loss: 0.012933 (0.012986) Loss: 0.42775 (0.41717) +2025-08-23,00:19:10 | INFO | Train Epoch: 6 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.39576 (0.40416) Boundary_loss: 0.012969 (0.012986) Loss: 0.40873 (0.41714) +2025-08-23,00:20:09 | INFO | Train Epoch: 6 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.37361 (0.40406) Boundary_loss: 0.012896 (0.012986) Loss: 0.38650 (0.41705) +2025-08-23,00:21:07 | INFO | Train Epoch: 6 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.39330 (0.40403) Boundary_loss: 0.013024 (0.012986) Loss: 0.40633 (0.41702) +2025-08-23,00:22:06 | INFO | Train Epoch: 6 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.41855 (0.40407) Boundary_loss: 0.013056 (0.012986) Loss: 0.43161 (0.41706) +2025-08-23,00:23:05 | INFO | Train Epoch: 6 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.42320 (0.40413) Boundary_loss: 0.012965 (0.012986) Loss: 0.43616 (0.41712) +2025-08-23,00:24:04 | INFO | Train Epoch: 6 [16998912/26365952 (64%)] Avg Boundaries (per batch): 18.926 Boundary Ratio: 0.097 Contrastive_loss: 0.38548 (0.40408) Boundary_loss: 0.012908 (0.012986) Loss: 0.39839 (0.41706) +2025-08-23,00:25:03 | INFO | Train Epoch: 6 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.35786 (0.40394) Boundary_loss: 0.012931 (0.012986) Loss: 0.37079 (0.41692) +2025-08-23,00:26:01 | INFO | Train Epoch: 6 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.43474 (0.40403) Boundary_loss: 0.012985 (0.012986) Loss: 0.44772 (0.41701) +2025-08-23,00:27:00 | INFO | Train Epoch: 6 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.42381 (0.40409) Boundary_loss: 0.012933 (0.012985) Loss: 0.43674 (0.41707) +2025-08-23,00:27:59 | INFO | Train Epoch: 6 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.35206 (0.40393) Boundary_loss: 0.013053 (0.012986) Loss: 0.36511 (0.41692) +2025-08-23,00:28:58 | INFO | Train Epoch: 6 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.678 Boundary Ratio: 0.100 Contrastive_loss: 0.41220 (0.40396) Boundary_loss: 0.012953 (0.012986) Loss: 0.42515 (0.41694) +2025-08-23,00:29:56 | INFO | Train Epoch: 6 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.38555 (0.40390) Boundary_loss: 0.013005 (0.012986) Loss: 0.39855 (0.41689) +2025-08-23,00:30:55 | INFO | Train Epoch: 6 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.41417 (0.40393) Boundary_loss: 0.012991 (0.012986) Loss: 0.42716 (0.41692) +2025-08-23,00:31:54 | INFO | Train Epoch: 6 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.38606 (0.40388) Boundary_loss: 0.013052 (0.012986) Loss: 0.39912 (0.41687) +2025-08-23,00:32:53 | INFO | Train Epoch: 6 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.30829 (0.40360) Boundary_loss: 0.013108 (0.012986) Loss: 0.32140 (0.41659) +2025-08-23,00:33:52 | INFO | Train Epoch: 6 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 0.35263 (0.40345) Boundary_loss: 0.012943 (0.012986) Loss: 0.36557 (0.41644) +2025-08-23,00:34:51 | INFO | Train Epoch: 6 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.42590 (0.40352) Boundary_loss: 0.013057 (0.012986) Loss: 0.43896 (0.41651) +2025-08-23,00:35:49 | INFO | Train Epoch: 6 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.43417 (0.40361) Boundary_loss: 0.013038 (0.012986) Loss: 0.44721 (0.41659) +2025-08-23,00:36:48 | INFO | Train Epoch: 6 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.44147 (0.40372) Boundary_loss: 0.013062 (0.012987) Loss: 0.45453 (0.41670) +2025-08-23,00:37:47 | INFO | Train Epoch: 6 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.33313 (0.40351) Boundary_loss: 0.012991 (0.012987) Loss: 0.34612 (0.41650) +2025-08-23,00:38:46 | INFO | Train Epoch: 6 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.33151 (0.40331) Boundary_loss: 0.013056 (0.012987) Loss: 0.34457 (0.41629) +2025-08-23,00:39:45 | INFO | Train Epoch: 6 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.50919 (0.40361) Boundary_loss: 0.013024 (0.012987) Loss: 0.52222 (0.41660) +2025-08-23,00:40:43 | INFO | Train Epoch: 6 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.41423 (0.40364) Boundary_loss: 0.012982 (0.012987) Loss: 0.42721 (0.41663) +2025-08-23,00:41:42 | INFO | Train Epoch: 6 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.34034 (0.40346) Boundary_loss: 0.013025 (0.012987) Loss: 0.35337 (0.41645) +2025-08-23,00:42:41 | INFO | Train Epoch: 6 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.36142 (0.40334) Boundary_loss: 0.013038 (0.012987) Loss: 0.37446 (0.41633) +2025-08-23,00:43:40 | INFO | Train Epoch: 6 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 0.36999 (0.40325) Boundary_loss: 0.012956 (0.012987) Loss: 0.38295 (0.41623) +2025-08-23,00:44:39 | INFO | Train Epoch: 6 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.41014 (0.40327) Boundary_loss: 0.013031 (0.012987) Loss: 0.42317 (0.41625) +2025-08-23,00:45:37 | INFO | Train Epoch: 6 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.40226 (0.40326) Boundary_loss: 0.013004 (0.012987) Loss: 0.41527 (0.41625) +2025-08-23,00:46:36 | INFO | Train Epoch: 6 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.36542 (0.40316) Boundary_loss: 0.012970 (0.012987) Loss: 0.37839 (0.41614) +2025-08-23,00:47:35 | INFO | Train Epoch: 6 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.42699 (0.40322) Boundary_loss: 0.012930 (0.012987) Loss: 0.43992 (0.41621) +2025-08-23,00:48:34 | INFO | Train Epoch: 6 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.34534 (0.40306) Boundary_loss: 0.013102 (0.012987) Loss: 0.35844 (0.41605) +2025-08-23,00:49:33 | INFO | Train Epoch: 6 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.41178 (0.40309) Boundary_loss: 0.012920 (0.012987) Loss: 0.42470 (0.41607) +2025-08-23,00:50:31 | INFO | Train Epoch: 6 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.51973 (0.40341) Boundary_loss: 0.013057 (0.012987) Loss: 0.53279 (0.41640) +2025-08-23,00:51:30 | INFO | Train Epoch: 6 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.43213 (0.40349) Boundary_loss: 0.012931 (0.012987) Loss: 0.44506 (0.41648) +2025-08-23,00:52:29 | INFO | Train Epoch: 6 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.543 Boundary Ratio: 0.100 Contrastive_loss: 0.34206 (0.40332) Boundary_loss: 0.013002 (0.012987) Loss: 0.35506 (0.41631) +2025-08-23,00:53:28 | INFO | Train Epoch: 6 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.39237 (0.40329) Boundary_loss: 0.013047 (0.012987) Loss: 0.40542 (0.41628) +2025-08-23,00:54:26 | INFO | Train Epoch: 6 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.44251 (0.40340) Boundary_loss: 0.012962 (0.012987) Loss: 0.45547 (0.41638) +2025-08-23,00:55:25 | INFO | Train Epoch: 6 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.42234 (0.40345) Boundary_loss: 0.012898 (0.012987) Loss: 0.43524 (0.41644) +2025-08-23,00:56:24 | INFO | Train Epoch: 6 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.46209 (0.40361) Boundary_loss: 0.012987 (0.012987) Loss: 0.47508 (0.41660) +2025-08-23,00:57:23 | INFO | Train Epoch: 6 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.37092 (0.40352) Boundary_loss: 0.013017 (0.012987) Loss: 0.38394 (0.41651) +2025-08-23,00:58:22 | INFO | Train Epoch: 6 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.34814 (0.40337) Boundary_loss: 0.012938 (0.012987) Loss: 0.36108 (0.41636) +2025-08-23,00:59:20 | INFO | Train Epoch: 6 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.39133 (0.40334) Boundary_loss: 0.012971 (0.012987) Loss: 0.40430 (0.41632) +2025-08-23,01:00:19 | INFO | Train Epoch: 6 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.39518 (0.40332) Boundary_loss: 0.013012 (0.012987) Loss: 0.40819 (0.41630) +2025-08-23,01:01:18 | INFO | Train Epoch: 6 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.44631 (0.40343) Boundary_loss: 0.013018 (0.012987) Loss: 0.45933 (0.41642) +2025-08-23,01:02:17 | INFO | Train Epoch: 6 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.48062 (0.40364) Boundary_loss: 0.012920 (0.012987) Loss: 0.49354 (0.41663) +2025-08-23,01:03:15 | INFO | Train Epoch: 6 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.35654 (0.40351) Boundary_loss: 0.012970 (0.012987) Loss: 0.36951 (0.41650) +2025-08-23,01:04:14 | INFO | Train Epoch: 6 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.41558 (0.40354) Boundary_loss: 0.012988 (0.012987) Loss: 0.42857 (0.41653) +2025-08-23,01:05:13 | INFO | Train Epoch: 6 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.570 Boundary Ratio: 0.100 Contrastive_loss: 0.40973 (0.40356) Boundary_loss: 0.013074 (0.012987) Loss: 0.42281 (0.41655) +2025-08-23,01:06:12 | INFO | Train Epoch: 6 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.42143 (0.40361) Boundary_loss: 0.012980 (0.012987) Loss: 0.43441 (0.41660) +2025-08-23,01:07:11 | INFO | Train Epoch: 6 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.38662 (0.40356) Boundary_loss: 0.012975 (0.012987) Loss: 0.39959 (0.41655) +2025-08-23,01:08:09 | INFO | Train Epoch: 6 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.38335 (0.40351) Boundary_loss: 0.013053 (0.012987) Loss: 0.39640 (0.41650) +2025-08-23,01:09:08 | INFO | Train Epoch: 6 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.682 Boundary Ratio: 0.100 Contrastive_loss: 0.44339 (0.40362) Boundary_loss: 0.012970 (0.012987) Loss: 0.45636 (0.41660) +2025-08-23,01:10:07 | INFO | Train Epoch: 6 [19405312/26365952 (74%)] Avg Boundaries (per batch): 18.914 Boundary Ratio: 0.097 Contrastive_loss: 0.37693 (0.40355) Boundary_loss: 0.012914 (0.012987) Loss: 0.38984 (0.41653) +2025-08-23,01:11:06 | INFO | Train Epoch: 6 [19456512/26365952 (74%)] Avg Boundaries (per batch): 18.979 Boundary Ratio: 0.097 Contrastive_loss: 0.42086 (0.40359) Boundary_loss: 0.012965 (0.012987) Loss: 0.43382 (0.41658) +2025-08-23,01:12:05 | INFO | Train Epoch: 6 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.31093 (0.40335) Boundary_loss: 0.012959 (0.012987) Loss: 0.32389 (0.41633) +2025-08-23,01:13:04 | INFO | Train Epoch: 6 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.44583 (0.40346) Boundary_loss: 0.012925 (0.012987) Loss: 0.45876 (0.41645) +2025-08-23,01:14:02 | INFO | Train Epoch: 6 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.44561 (0.40357) Boundary_loss: 0.013028 (0.012987) Loss: 0.45864 (0.41656) +2025-08-23,01:15:01 | INFO | Train Epoch: 6 [19661312/26365952 (75%)] Avg Boundaries (per batch): 18.967 Boundary Ratio: 0.097 Contrastive_loss: 0.38501 (0.40352) Boundary_loss: 0.013068 (0.012987) Loss: 0.39808 (0.41651) +2025-08-23,01:16:00 | INFO | Train Epoch: 6 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.670 Boundary Ratio: 0.100 Contrastive_loss: 0.42261 (0.40357) Boundary_loss: 0.013137 (0.012987) Loss: 0.43575 (0.41656) +2025-08-23,01:16:59 | INFO | Train Epoch: 6 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.42954 (0.40364) Boundary_loss: 0.012974 (0.012987) Loss: 0.44252 (0.41662) +2025-08-23,01:17:58 | INFO | Train Epoch: 6 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.34821 (0.40349) Boundary_loss: 0.012940 (0.012987) Loss: 0.36115 (0.41648) +2025-08-23,01:18:56 | INFO | Train Epoch: 6 [19866112/26365952 (75%)] Avg Boundaries (per batch): 18.842 Boundary Ratio: 0.096 Contrastive_loss: 0.44701 (0.40361) Boundary_loss: 0.013069 (0.012988) Loss: 0.46008 (0.41659) +2025-08-23,01:19:55 | INFO | Train Epoch: 6 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.623 Boundary Ratio: 0.100 Contrastive_loss: 0.40307 (0.40360) Boundary_loss: 0.013016 (0.012988) Loss: 0.41609 (0.41659) +2025-08-23,01:20:54 | INFO | Train Epoch: 6 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.37749 (0.40354) Boundary_loss: 0.012979 (0.012988) Loss: 0.39046 (0.41653) +2025-08-23,01:21:53 | INFO | Train Epoch: 6 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.35150 (0.40341) Boundary_loss: 0.012950 (0.012987) Loss: 0.36445 (0.41639) +2025-08-23,01:22:52 | INFO | Train Epoch: 6 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.40798 (0.40342) Boundary_loss: 0.012945 (0.012987) Loss: 0.42092 (0.41640) +2025-08-23,01:23:50 | INFO | Train Epoch: 6 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.27487 (0.40309) Boundary_loss: 0.013051 (0.012988) Loss: 0.28792 (0.41608) +2025-08-23,01:24:49 | INFO | Train Epoch: 6 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.46010 (0.40323) Boundary_loss: 0.013092 (0.012988) Loss: 0.47319 (0.41622) +2025-08-23,01:25:48 | INFO | Train Epoch: 6 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.42666 (0.40329) Boundary_loss: 0.012984 (0.012988) Loss: 0.43964 (0.41628) +2025-08-23,01:26:47 | INFO | Train Epoch: 6 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.38372 (0.40324) Boundary_loss: 0.012940 (0.012988) Loss: 0.39666 (0.41623) +2025-08-23,01:27:46 | INFO | Train Epoch: 6 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.34811 (0.40311) Boundary_loss: 0.012924 (0.012988) Loss: 0.36104 (0.41609) +2025-08-23,01:28:44 | INFO | Train Epoch: 6 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.37646 (0.40304) Boundary_loss: 0.013024 (0.012988) Loss: 0.38949 (0.41603) +2025-08-23,01:29:43 | INFO | Train Epoch: 6 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.38593 (0.40300) Boundary_loss: 0.013081 (0.012988) Loss: 0.39901 (0.41598) +2025-08-23,01:30:42 | INFO | Train Epoch: 6 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.39099 (0.40297) Boundary_loss: 0.012939 (0.012988) Loss: 0.40393 (0.41595) +2025-08-23,01:31:41 | INFO | Train Epoch: 6 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.36137 (0.40286) Boundary_loss: 0.012965 (0.012988) Loss: 0.37434 (0.41585) +2025-08-23,01:32:39 | INFO | Train Epoch: 6 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.41663 (0.40290) Boundary_loss: 0.012908 (0.012987) Loss: 0.42954 (0.41588) +2025-08-23,01:33:38 | INFO | Train Epoch: 6 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.44965 (0.40301) Boundary_loss: 0.012927 (0.012987) Loss: 0.46258 (0.41600) +2025-08-23,01:34:37 | INFO | Train Epoch: 6 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.40750 (0.40302) Boundary_loss: 0.012935 (0.012987) Loss: 0.42043 (0.41601) +2025-08-23,01:35:36 | INFO | Train Epoch: 6 [20736512/26365952 (79%)] Avg Boundaries (per batch): 18.889 Boundary Ratio: 0.096 Contrastive_loss: 0.36437 (0.40293) Boundary_loss: 0.012992 (0.012987) Loss: 0.37737 (0.41592) +2025-08-23,01:36:35 | INFO | Train Epoch: 6 [20787712/26365952 (79%)] Avg Boundaries (per batch): 18.898 Boundary Ratio: 0.096 Contrastive_loss: 0.33911 (0.40277) Boundary_loss: 0.013021 (0.012987) Loss: 0.35213 (0.41576) +2025-08-23,01:37:33 | INFO | Train Epoch: 6 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.38991 (0.40274) Boundary_loss: 0.013003 (0.012987) Loss: 0.40291 (0.41573) +2025-08-23,01:38:32 | INFO | Train Epoch: 6 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.36087 (0.40264) Boundary_loss: 0.012881 (0.012987) Loss: 0.37375 (0.41563) +2025-08-23,01:39:31 | INFO | Train Epoch: 6 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.52214 (0.40293) Boundary_loss: 0.013001 (0.012987) Loss: 0.53514 (0.41592) +2025-08-23,01:40:30 | INFO | Train Epoch: 6 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.36667 (0.40284) Boundary_loss: 0.012919 (0.012987) Loss: 0.37959 (0.41583) +2025-08-23,01:41:29 | INFO | Train Epoch: 6 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.33789 (0.40268) Boundary_loss: 0.012909 (0.012987) Loss: 0.35080 (0.41567) +2025-08-23,01:42:28 | INFO | Train Epoch: 6 [21094912/26365952 (80%)] Avg Boundaries (per batch): 18.664 Boundary Ratio: 0.095 Contrastive_loss: 0.44584 (0.40279) Boundary_loss: 0.012908 (0.012987) Loss: 0.45875 (0.41577) +2025-08-23,01:43:26 | INFO | Train Epoch: 6 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.38103 (0.40274) Boundary_loss: 0.012892 (0.012986) Loss: 0.39392 (0.41572) +2025-08-23,01:44:25 | INFO | Train Epoch: 6 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.34538 (0.40260) Boundary_loss: 0.012985 (0.012986) Loss: 0.35836 (0.41558) +2025-08-23,01:45:24 | INFO | Train Epoch: 6 [21248512/26365952 (81%)] Avg Boundaries (per batch): 18.965 Boundary Ratio: 0.097 Contrastive_loss: 0.40434 (0.40260) Boundary_loss: 0.012882 (0.012986) Loss: 0.41722 (0.41559) +2025-08-23,01:46:23 | INFO | Train Epoch: 6 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.44387 (0.40270) Boundary_loss: 0.012971 (0.012986) Loss: 0.45684 (0.41569) +2025-08-23,01:47:22 | INFO | Train Epoch: 6 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.39293 (0.40268) Boundary_loss: 0.012961 (0.012986) Loss: 0.40589 (0.41566) +2025-08-23,01:48:20 | INFO | Train Epoch: 6 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 0.45092 (0.40279) Boundary_loss: 0.013028 (0.012986) Loss: 0.46395 (0.41578) +2025-08-23,01:49:19 | INFO | Train Epoch: 6 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.42247 (0.40284) Boundary_loss: 0.012879 (0.012986) Loss: 0.43535 (0.41583) +2025-08-23,01:50:18 | INFO | Train Epoch: 6 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 0.44891 (0.40295) Boundary_loss: 0.013070 (0.012986) Loss: 0.46198 (0.41593) +2025-08-23,01:51:17 | INFO | Train Epoch: 6 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.37097 (0.40287) Boundary_loss: 0.013070 (0.012986) Loss: 0.38404 (0.41586) +2025-08-23,01:52:16 | INFO | Train Epoch: 6 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 0.37133 (0.40280) Boundary_loss: 0.012943 (0.012986) Loss: 0.38427 (0.41578) +2025-08-23,01:53:15 | INFO | Train Epoch: 6 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.38034 (0.40275) Boundary_loss: 0.012970 (0.012986) Loss: 0.39331 (0.41573) +2025-08-23,01:54:13 | INFO | Train Epoch: 6 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.33775 (0.40259) Boundary_loss: 0.012882 (0.012986) Loss: 0.35063 (0.41558) +2025-08-23,01:55:12 | INFO | Train Epoch: 6 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.588 Boundary Ratio: 0.100 Contrastive_loss: 0.41283 (0.40262) Boundary_loss: 0.013026 (0.012986) Loss: 0.42586 (0.41560) +2025-08-23,01:56:11 | INFO | Train Epoch: 6 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.43324 (0.40269) Boundary_loss: 0.012850 (0.012986) Loss: 0.44609 (0.41567) +2025-08-23,01:57:10 | INFO | Train Epoch: 6 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.38484 (0.40265) Boundary_loss: 0.013076 (0.012986) Loss: 0.39792 (0.41563) +2025-08-23,01:58:09 | INFO | Train Epoch: 6 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.45718 (0.40277) Boundary_loss: 0.013054 (0.012986) Loss: 0.47023 (0.41576) +2025-08-23,01:59:07 | INFO | Train Epoch: 6 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 0.39972 (0.40277) Boundary_loss: 0.013001 (0.012986) Loss: 0.41273 (0.41575) +2025-08-23,02:00:06 | INFO | Train Epoch: 6 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.33125 (0.40260) Boundary_loss: 0.012913 (0.012986) Loss: 0.34417 (0.41559) +2025-08-23,02:01:05 | INFO | Train Epoch: 6 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.42999 (0.40266) Boundary_loss: 0.012965 (0.012986) Loss: 0.44296 (0.41565) +2025-08-23,02:02:04 | INFO | Train Epoch: 6 [22118912/26365952 (84%)] Avg Boundaries (per batch): 18.898 Boundary Ratio: 0.096 Contrastive_loss: 0.37208 (0.40259) Boundary_loss: 0.012960 (0.012986) Loss: 0.38504 (0.41558) +2025-08-23,02:03:03 | INFO | Train Epoch: 6 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.38996 (0.40256) Boundary_loss: 0.012899 (0.012986) Loss: 0.40286 (0.41555) +2025-08-23,02:04:01 | INFO | Train Epoch: 6 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.42304 (0.40261) Boundary_loss: 0.012961 (0.012985) Loss: 0.43600 (0.41560) +2025-08-23,02:05:00 | INFO | Train Epoch: 6 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.42413 (0.40266) Boundary_loss: 0.012903 (0.012985) Loss: 0.43704 (0.41565) +2025-08-23,02:05:59 | INFO | Train Epoch: 6 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.586 Boundary Ratio: 0.100 Contrastive_loss: 0.36082 (0.40257) Boundary_loss: 0.012956 (0.012985) Loss: 0.37378 (0.41555) +2025-08-23,02:06:58 | INFO | Train Epoch: 6 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.30747 (0.40235) Boundary_loss: 0.012922 (0.012985) Loss: 0.32040 (0.41533) +2025-08-23,02:07:57 | INFO | Train Epoch: 6 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.46788 (0.40250) Boundary_loss: 0.013042 (0.012985) Loss: 0.48092 (0.41548) +2025-08-23,02:08:56 | INFO | Train Epoch: 6 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.41938 (0.40254) Boundary_loss: 0.012896 (0.012985) Loss: 0.43227 (0.41552) +2025-08-23,02:09:54 | INFO | Train Epoch: 6 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.43213 (0.40260) Boundary_loss: 0.013004 (0.012985) Loss: 0.44513 (0.41559) +2025-08-23,02:10:53 | INFO | Train Epoch: 6 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.42618 (0.40266) Boundary_loss: 0.012918 (0.012985) Loss: 0.43910 (0.41564) +2025-08-23,02:11:52 | INFO | Train Epoch: 6 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.35785 (0.40255) Boundary_loss: 0.012866 (0.012985) Loss: 0.37072 (0.41554) +2025-08-23,02:12:51 | INFO | Train Epoch: 6 [22682112/26365952 (86%)] Avg Boundaries (per batch): 18.820 Boundary Ratio: 0.096 Contrastive_loss: 0.35708 (0.40245) Boundary_loss: 0.013021 (0.012985) Loss: 0.37011 (0.41544) +2025-08-23,02:13:50 | INFO | Train Epoch: 6 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.45473 (0.40257) Boundary_loss: 0.012908 (0.012985) Loss: 0.46764 (0.41555) +2025-08-23,02:14:49 | INFO | Train Epoch: 6 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.36424 (0.40248) Boundary_loss: 0.013011 (0.012985) Loss: 0.37725 (0.41547) +2025-08-23,02:15:47 | INFO | Train Epoch: 6 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.36630 (0.40240) Boundary_loss: 0.013019 (0.012985) Loss: 0.37932 (0.41539) +2025-08-23,02:16:46 | INFO | Train Epoch: 6 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.34990 (0.40229) Boundary_loss: 0.012922 (0.012985) Loss: 0.36283 (0.41527) +2025-08-23,02:17:45 | INFO | Train Epoch: 6 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.41007 (0.40230) Boundary_loss: 0.012918 (0.012984) Loss: 0.42299 (0.41529) +2025-08-23,02:18:44 | INFO | Train Epoch: 6 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.30836 (0.40209) Boundary_loss: 0.012963 (0.012984) Loss: 0.32133 (0.41508) +2025-08-23,02:19:43 | INFO | Train Epoch: 6 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.43893 (0.40218) Boundary_loss: 0.012938 (0.012984) Loss: 0.45187 (0.41516) +2025-08-23,02:20:42 | INFO | Train Epoch: 6 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.39025 (0.40215) Boundary_loss: 0.013057 (0.012984) Loss: 0.40331 (0.41513) +2025-08-23,02:21:40 | INFO | Train Epoch: 6 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.38849 (0.40212) Boundary_loss: 0.012977 (0.012984) Loss: 0.40147 (0.41510) +2025-08-23,02:22:39 | INFO | Train Epoch: 6 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.50098 (0.40234) Boundary_loss: 0.012971 (0.012984) Loss: 0.51395 (0.41532) +2025-08-23,02:23:38 | INFO | Train Epoch: 6 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.39660 (0.40232) Boundary_loss: 0.013002 (0.012984) Loss: 0.40961 (0.41531) +2025-08-23,02:24:37 | INFO | Train Epoch: 6 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.023 Boundary Ratio: 0.097 Contrastive_loss: 0.46041 (0.40245) Boundary_loss: 0.012973 (0.012984) Loss: 0.47338 (0.41544) +2025-08-23,02:25:36 | INFO | Train Epoch: 6 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.39766 (0.40244) Boundary_loss: 0.013062 (0.012985) Loss: 0.41072 (0.41543) +2025-08-23,02:26:35 | INFO | Train Epoch: 6 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.35209 (0.40233) Boundary_loss: 0.013080 (0.012985) Loss: 0.36517 (0.41532) +2025-08-23,02:27:33 | INFO | Train Epoch: 6 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.42529 (0.40238) Boundary_loss: 0.012927 (0.012985) Loss: 0.43822 (0.41537) +2025-08-23,02:28:32 | INFO | Train Epoch: 6 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.38605 (0.40235) Boundary_loss: 0.012945 (0.012985) Loss: 0.39899 (0.41533) +2025-08-23,02:29:31 | INFO | Train Epoch: 6 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.39423 (0.40233) Boundary_loss: 0.012979 (0.012985) Loss: 0.40721 (0.41531) +2025-08-23,02:30:30 | INFO | Train Epoch: 6 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 0.36605 (0.40225) Boundary_loss: 0.012985 (0.012985) Loss: 0.37903 (0.41523) +2025-08-23,02:31:28 | INFO | Train Epoch: 6 [23654912/26365952 (90%)] Avg Boundaries (per batch): 18.869 Boundary Ratio: 0.096 Contrastive_loss: 0.41840 (0.40228) Boundary_loss: 0.012950 (0.012984) Loss: 0.43135 (0.41527) +2025-08-23,02:32:27 | INFO | Train Epoch: 6 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.36303 (0.40220) Boundary_loss: 0.012842 (0.012984) Loss: 0.37588 (0.41518) +2025-08-23,02:33:26 | INFO | Train Epoch: 6 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.39029 (0.40217) Boundary_loss: 0.012849 (0.012984) Loss: 0.40314 (0.41516) +2025-08-23,02:34:25 | INFO | Train Epoch: 6 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.36576 (0.40210) Boundary_loss: 0.012926 (0.012984) Loss: 0.37869 (0.41508) +2025-08-23,02:35:23 | INFO | Train Epoch: 6 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.41162 (0.40212) Boundary_loss: 0.012920 (0.012984) Loss: 0.42454 (0.41510) +2025-08-23,02:36:22 | INFO | Train Epoch: 6 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.40329 (0.40212) Boundary_loss: 0.012892 (0.012983) Loss: 0.41618 (0.41510) +2025-08-23,02:37:21 | INFO | Train Epoch: 6 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.38663 (0.40209) Boundary_loss: 0.012906 (0.012983) Loss: 0.39954 (0.41507) +2025-08-23,02:38:20 | INFO | Train Epoch: 6 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.41973 (0.40212) Boundary_loss: 0.012875 (0.012983) Loss: 0.43261 (0.41511) +2025-08-23,02:39:19 | INFO | Train Epoch: 6 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.47283 (0.40227) Boundary_loss: 0.012948 (0.012983) Loss: 0.48578 (0.41526) +2025-08-23,02:40:17 | INFO | Train Epoch: 6 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.33100 (0.40212) Boundary_loss: 0.012986 (0.012983) Loss: 0.34399 (0.41511) +2025-08-23,02:41:16 | INFO | Train Epoch: 6 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.41889 (0.40216) Boundary_loss: 0.012956 (0.012983) Loss: 0.43185 (0.41514) +2025-08-23,02:42:15 | INFO | Train Epoch: 6 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.37684 (0.40211) Boundary_loss: 0.013116 (0.012983) Loss: 0.38996 (0.41509) +2025-08-23,02:43:14 | INFO | Train Epoch: 6 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.36129 (0.40202) Boundary_loss: 0.013019 (0.012983) Loss: 0.37431 (0.41500) +2025-08-23,02:44:12 | INFO | Train Epoch: 6 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.39958 (0.40201) Boundary_loss: 0.012929 (0.012983) Loss: 0.41251 (0.41500) +2025-08-23,02:45:11 | INFO | Train Epoch: 6 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.38927 (0.40199) Boundary_loss: 0.013010 (0.012983) Loss: 0.40228 (0.41497) +2025-08-23,02:46:10 | INFO | Train Epoch: 6 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.627 Boundary Ratio: 0.100 Contrastive_loss: 0.35212 (0.40188) Boundary_loss: 0.012967 (0.012983) Loss: 0.36508 (0.41487) +2025-08-23,02:47:09 | INFO | Train Epoch: 6 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.33946 (0.40175) Boundary_loss: 0.012981 (0.012983) Loss: 0.35244 (0.41474) +2025-08-23,02:48:08 | INFO | Train Epoch: 6 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.31409 (0.40157) Boundary_loss: 0.012991 (0.012983) Loss: 0.32708 (0.41455) +2025-08-23,02:49:06 | INFO | Train Epoch: 6 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.45655 (0.40168) Boundary_loss: 0.012926 (0.012983) Loss: 0.46948 (0.41467) +2025-08-23,02:50:05 | INFO | Train Epoch: 6 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.30906 (0.40149) Boundary_loss: 0.012972 (0.012983) Loss: 0.32203 (0.41448) +2025-08-23,02:51:04 | INFO | Train Epoch: 6 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.29714 (0.40128) Boundary_loss: 0.012903 (0.012983) Loss: 0.31005 (0.41426) +2025-08-23,02:52:03 | INFO | Train Epoch: 6 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.41296 (0.40130) Boundary_loss: 0.013032 (0.012983) Loss: 0.42599 (0.41428) +2025-08-23,02:53:02 | INFO | Train Epoch: 6 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.37638 (0.40125) Boundary_loss: 0.012999 (0.012983) Loss: 0.38938 (0.41423) +2025-08-23,02:54:01 | INFO | Train Epoch: 6 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.35899 (0.40116) Boundary_loss: 0.013045 (0.012983) Loss: 0.37204 (0.41415) +2025-08-23,02:55:00 | INFO | Train Epoch: 6 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.29851 (0.40095) Boundary_loss: 0.012985 (0.012983) Loss: 0.31150 (0.41393) +2025-08-23,02:55:58 | INFO | Train Epoch: 6 [24934912/26365952 (95%)] Avg Boundaries (per batch): 18.957 Boundary Ratio: 0.097 Contrastive_loss: 0.42241 (0.40100) Boundary_loss: 0.012949 (0.012983) Loss: 0.43536 (0.41398) +2025-08-23,02:56:57 | INFO | Train Epoch: 6 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.36720 (0.40093) Boundary_loss: 0.012870 (0.012983) Loss: 0.38007 (0.41391) +2025-08-23,02:57:56 | INFO | Train Epoch: 6 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.36875 (0.40086) Boundary_loss: 0.012974 (0.012983) Loss: 0.38173 (0.41384) +2025-08-23,02:58:55 | INFO | Train Epoch: 6 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.31792 (0.40069) Boundary_loss: 0.012914 (0.012983) Loss: 0.33083 (0.41367) +2025-08-23,02:59:54 | INFO | Train Epoch: 6 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.47469 (0.40084) Boundary_loss: 0.013045 (0.012983) Loss: 0.48774 (0.41382) +2025-08-23,03:00:53 | INFO | Train Epoch: 6 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.51611 (0.40108) Boundary_loss: 0.012947 (0.012983) Loss: 0.52906 (0.41406) +2025-08-23,03:01:51 | INFO | Train Epoch: 6 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.42531 (0.40112) Boundary_loss: 0.012986 (0.012983) Loss: 0.43830 (0.41411) +2025-08-23,03:02:50 | INFO | Train Epoch: 6 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.40387 (0.40113) Boundary_loss: 0.013033 (0.012983) Loss: 0.41690 (0.41411) +2025-08-23,03:03:49 | INFO | Train Epoch: 6 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.44542 (0.40122) Boundary_loss: 0.012951 (0.012983) Loss: 0.45838 (0.41420) +2025-08-23,03:04:48 | INFO | Train Epoch: 6 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.36419 (0.40115) Boundary_loss: 0.012973 (0.012983) Loss: 0.37717 (0.41413) +2025-08-23,03:05:47 | INFO | Train Epoch: 6 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.40909 (0.40116) Boundary_loss: 0.013021 (0.012983) Loss: 0.42211 (0.41414) +2025-08-23,03:06:45 | INFO | Train Epoch: 6 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.31820 (0.40099) Boundary_loss: 0.012879 (0.012983) Loss: 0.33108 (0.41398) +2025-08-23,03:07:44 | INFO | Train Epoch: 6 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.47726 (0.40115) Boundary_loss: 0.012954 (0.012983) Loss: 0.49021 (0.41413) +2025-08-23,03:08:43 | INFO | Train Epoch: 6 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.33298 (0.40101) Boundary_loss: 0.013011 (0.012983) Loss: 0.34599 (0.41399) +2025-08-23,03:09:42 | INFO | Train Epoch: 6 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.42304 (0.40106) Boundary_loss: 0.013024 (0.012983) Loss: 0.43606 (0.41404) +2025-08-23,03:10:41 | INFO | Train Epoch: 6 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.43111 (0.40112) Boundary_loss: 0.013037 (0.012983) Loss: 0.44414 (0.41410) +2025-08-23,03:11:40 | INFO | Train Epoch: 6 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.40835 (0.40113) Boundary_loss: 0.012916 (0.012983) Loss: 0.42126 (0.41411) +2025-08-23,03:12:39 | INFO | Train Epoch: 6 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.37443 (0.40108) Boundary_loss: 0.012923 (0.012983) Loss: 0.38736 (0.41406) +2025-08-23,03:13:37 | INFO | Train Epoch: 6 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.40665 (0.40109) Boundary_loss: 0.012874 (0.012982) Loss: 0.41952 (0.41407) +2025-08-23,03:14:36 | INFO | Train Epoch: 6 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.42933 (0.40114) Boundary_loss: 0.013010 (0.012982) Loss: 0.44234 (0.41413) +2025-08-23,03:15:35 | INFO | Train Epoch: 6 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.34891 (0.40104) Boundary_loss: 0.012860 (0.012982) Loss: 0.36177 (0.41402) +2025-08-23,03:16:34 | INFO | Train Epoch: 6 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.51933 (0.40127) Boundary_loss: 0.013032 (0.012982) Loss: 0.53236 (0.41426) +2025-08-23,03:17:33 | INFO | Train Epoch: 6 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.43935 (0.40135) Boundary_loss: 0.013002 (0.012982) Loss: 0.45235 (0.41433) +2025-08-23,03:18:31 | INFO | Train Epoch: 6 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.44723 (0.40144) Boundary_loss: 0.012941 (0.012982) Loss: 0.46017 (0.41442) +2025-08-23,03:19:30 | INFO | Train Epoch: 6 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.40425 (0.40144) Boundary_loss: 0.013021 (0.012982) Loss: 0.41727 (0.41443) +2025-08-23,03:20:29 | INFO | Train Epoch: 6 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.31671 (0.40128) Boundary_loss: 0.012926 (0.012982) Loss: 0.32964 (0.41426) +2025-08-23,03:21:28 | INFO | Train Epoch: 6 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.525 Boundary Ratio: 0.100 Contrastive_loss: 0.42202 (0.40132) Boundary_loss: 0.013035 (0.012982) Loss: 0.43505 (0.41430) +2025-08-23,03:22:27 | INFO | Train Epoch: 6 [26317312/26365952 (100%)] Avg Boundaries (per batch): 18.881 Boundary Ratio: 0.096 Contrastive_loss: 0.30025 (0.40112) Boundary_loss: 0.012895 (0.012982) Loss: 0.31314 (0.41410) +2025-08-23,03:23:22 | INFO | Train Epoch: 6 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.41420 (0.40115) Boundary_loss: 0.012960 (0.012982) Loss: 0.42716 (0.41413) +2025-08-23,03:23:23 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-23,03:23:23 | INFO | [Epoch 6] Average Step Time: 0.591s | Average GPU Memory: 33.5 GB +2025-08-23,03:23:23 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-23,03:23:23 | INFO | Starting zero-shot imagenet. +2025-08-23,03:23:23 | INFO | Building zero-shot classifier +2025-08-23,03:23:32 | INFO | Using classifier +2025-08-23,03:24:14 | INFO | Finished zero-shot imagenet. +2025-08-23,03:24:14 | INFO | Eval Epoch: 7 imagenet-zeroshot-val-top1: 0.2671 imagenet-zeroshot-val-top5: 0.5239 +2025-08-23,03:24:15 | INFO | Start epoch 7 +2025-08-23,03:24:17 | INFO | Train Epoch: 7 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.26797 (0.26797) Boundary_loss: 0.013013 (0.013013) Loss: 0.28098 (0.28098) +2025-08-23,03:25:16 | INFO | Train Epoch: 7 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.38580 (0.32688) Boundary_loss: 0.013022 (0.013018) Loss: 0.39882 (0.33990) +2025-08-23,03:26:15 | INFO | Train Epoch: 7 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.36976 (0.34118) Boundary_loss: 0.012892 (0.012976) Loss: 0.38265 (0.35415) +2025-08-23,03:27:13 | INFO | Train Epoch: 7 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 18.979 Boundary Ratio: 0.097 Contrastive_loss: 0.33518 (0.33968) Boundary_loss: 0.013021 (0.012987) Loss: 0.34820 (0.35266) +2025-08-23,03:28:12 | INFO | Train Epoch: 7 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.27994 (0.32773) Boundary_loss: 0.012946 (0.012979) Loss: 0.29289 (0.34071) +2025-08-23,03:29:11 | INFO | Train Epoch: 7 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.40275 (0.34023) Boundary_loss: 0.012874 (0.012961) Loss: 0.41563 (0.35320) +2025-08-23,03:30:09 | INFO | Train Epoch: 7 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.42626 (0.35252) Boundary_loss: 0.013028 (0.012971) Loss: 0.43929 (0.36549) +2025-08-23,03:31:08 | INFO | Train Epoch: 7 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.37526 (0.35537) Boundary_loss: 0.013074 (0.012984) Loss: 0.38834 (0.36835) +2025-08-23,03:32:07 | INFO | Train Epoch: 7 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.39958 (0.36028) Boundary_loss: 0.013043 (0.012990) Loss: 0.41262 (0.37327) +2025-08-23,03:33:06 | INFO | Train Epoch: 7 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.30131 (0.35438) Boundary_loss: 0.012978 (0.012989) Loss: 0.31429 (0.36737) +2025-08-23,03:34:04 | INFO | Train Epoch: 7 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.33902 (0.35299) Boundary_loss: 0.012942 (0.012985) Loss: 0.35196 (0.36597) +2025-08-23,03:35:03 | INFO | Train Epoch: 7 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.35283 (0.35297) Boundary_loss: 0.012922 (0.012980) Loss: 0.36575 (0.36595) +2025-08-23,03:36:02 | INFO | Train Epoch: 7 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.34893 (0.35266) Boundary_loss: 0.012915 (0.012975) Loss: 0.36184 (0.36564) +2025-08-23,03:37:01 | INFO | Train Epoch: 7 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.34687 (0.35225) Boundary_loss: 0.012894 (0.012969) Loss: 0.35976 (0.36522) +2025-08-23,03:37:59 | INFO | Train Epoch: 7 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.34217 (0.35158) Boundary_loss: 0.012808 (0.012958) Loss: 0.35498 (0.36453) +2025-08-23,03:38:58 | INFO | Train Epoch: 7 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.31404 (0.34923) Boundary_loss: 0.012916 (0.012955) Loss: 0.32695 (0.36218) +2025-08-23,03:39:57 | INFO | Train Epoch: 7 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.38799 (0.35151) Boundary_loss: 0.012897 (0.012952) Loss: 0.40088 (0.36446) +2025-08-23,03:40:56 | INFO | Train Epoch: 7 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.34122 (0.35094) Boundary_loss: 0.012840 (0.012946) Loss: 0.35406 (0.36388) +2025-08-23,03:41:54 | INFO | Train Epoch: 7 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.36706 (0.35179) Boundary_loss: 0.013104 (0.012954) Loss: 0.38016 (0.36474) +2025-08-23,03:42:53 | INFO | Train Epoch: 7 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.33370 (0.35088) Boundary_loss: 0.012916 (0.012952) Loss: 0.34661 (0.36383) +2025-08-23,03:43:52 | INFO | Train Epoch: 7 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.35758 (0.35120) Boundary_loss: 0.013004 (0.012955) Loss: 0.37059 (0.36416) +2025-08-23,03:44:51 | INFO | Train Epoch: 7 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.600 Boundary Ratio: 0.100 Contrastive_loss: 0.41860 (0.35426) Boundary_loss: 0.013085 (0.012961) Loss: 0.43169 (0.36723) +2025-08-23,03:45:49 | INFO | Train Epoch: 7 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 0.37774 (0.35529) Boundary_loss: 0.012991 (0.012962) Loss: 0.39073 (0.36825) +2025-08-23,03:46:48 | INFO | Train Epoch: 7 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.39654 (0.35700) Boundary_loss: 0.012987 (0.012963) Loss: 0.40952 (0.36997) +2025-08-23,03:47:47 | INFO | Train Epoch: 7 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.38879 (0.35828) Boundary_loss: 0.012878 (0.012960) Loss: 0.40167 (0.37124) +2025-08-23,03:48:46 | INFO | Train Epoch: 7 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.33043 (0.35720) Boundary_loss: 0.012934 (0.012959) Loss: 0.34336 (0.37016) +2025-08-23,03:49:44 | INFO | Train Epoch: 7 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.30884 (0.35541) Boundary_loss: 0.012909 (0.012957) Loss: 0.32175 (0.36837) +2025-08-23,03:50:43 | INFO | Train Epoch: 7 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.35130 (0.35527) Boundary_loss: 0.013021 (0.012959) Loss: 0.36432 (0.36823) +2025-08-23,03:51:42 | INFO | Train Epoch: 7 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.37613 (0.35599) Boundary_loss: 0.012883 (0.012956) Loss: 0.38902 (0.36894) +2025-08-23,03:52:41 | INFO | Train Epoch: 7 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.36253 (0.35620) Boundary_loss: 0.013108 (0.012961) Loss: 0.37563 (0.36917) +2025-08-23,03:53:39 | INFO | Train Epoch: 7 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.33458 (0.35551) Boundary_loss: 0.013044 (0.012964) Loss: 0.34762 (0.36847) +2025-08-23,03:54:38 | INFO | Train Epoch: 7 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.38599 (0.35646) Boundary_loss: 0.012979 (0.012965) Loss: 0.39897 (0.36942) +2025-08-23,03:55:37 | INFO | Train Epoch: 7 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.36991 (0.35687) Boundary_loss: 0.012981 (0.012965) Loss: 0.38289 (0.36983) +2025-08-23,03:56:36 | INFO | Train Epoch: 7 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.43674 (0.35922) Boundary_loss: 0.012978 (0.012966) Loss: 0.44971 (0.37218) +2025-08-23,03:57:34 | INFO | Train Epoch: 7 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.588 Boundary Ratio: 0.100 Contrastive_loss: 0.25452 (0.35622) Boundary_loss: 0.012985 (0.012966) Loss: 0.26751 (0.36919) +2025-08-23,03:58:33 | INFO | Train Epoch: 7 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.26854 (0.35379) Boundary_loss: 0.012959 (0.012966) Loss: 0.28150 (0.36675) +2025-08-23,03:59:32 | INFO | Train Epoch: 7 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 18.928 Boundary Ratio: 0.097 Contrastive_loss: 0.34207 (0.35347) Boundary_loss: 0.012939 (0.012965) Loss: 0.35501 (0.36644) +2025-08-23,04:00:31 | INFO | Train Epoch: 7 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.38481 (0.35430) Boundary_loss: 0.012999 (0.012966) Loss: 0.39781 (0.36726) +2025-08-23,04:01:29 | INFO | Train Epoch: 7 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.35752 (0.35438) Boundary_loss: 0.013014 (0.012967) Loss: 0.37053 (0.36735) +2025-08-23,04:02:28 | INFO | Train Epoch: 7 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.33492 (0.35389) Boundary_loss: 0.012932 (0.012966) Loss: 0.34785 (0.36686) +2025-08-23,04:03:27 | INFO | Train Epoch: 7 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.34052 (0.35357) Boundary_loss: 0.013019 (0.012968) Loss: 0.35354 (0.36653) +2025-08-23,04:04:26 | INFO | Train Epoch: 7 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.34816 (0.35344) Boundary_loss: 0.012932 (0.012967) Loss: 0.36109 (0.36640) +2025-08-23,04:05:24 | INFO | Train Epoch: 7 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.31010 (0.35243) Boundary_loss: 0.012927 (0.012966) Loss: 0.32303 (0.36540) +2025-08-23,04:06:23 | INFO | Train Epoch: 7 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.32165 (0.35173) Boundary_loss: 0.013018 (0.012967) Loss: 0.33467 (0.36470) +2025-08-23,04:07:22 | INFO | Train Epoch: 7 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.39027 (0.35259) Boundary_loss: 0.012794 (0.012963) Loss: 0.40306 (0.36555) +2025-08-23,04:08:21 | INFO | Train Epoch: 7 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.36385 (0.35283) Boundary_loss: 0.012987 (0.012964) Loss: 0.37684 (0.36580) +2025-08-23,04:09:19 | INFO | Train Epoch: 7 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.38014 (0.35341) Boundary_loss: 0.012951 (0.012963) Loss: 0.39309 (0.36638) +2025-08-23,04:10:18 | INFO | Train Epoch: 7 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.27692 (0.35182) Boundary_loss: 0.012957 (0.012963) Loss: 0.28988 (0.36478) +2025-08-23,04:11:17 | INFO | Train Epoch: 7 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.29593 (0.35068) Boundary_loss: 0.013060 (0.012965) Loss: 0.30899 (0.36364) +2025-08-23,04:12:16 | INFO | Train Epoch: 7 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.36736 (0.35101) Boundary_loss: 0.013020 (0.012966) Loss: 0.38038 (0.36398) +2025-08-23,04:13:14 | INFO | Train Epoch: 7 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.34828 (0.35096) Boundary_loss: 0.012889 (0.012965) Loss: 0.36117 (0.36392) +2025-08-23,04:14:13 | INFO | Train Epoch: 7 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.29917 (0.34996) Boundary_loss: 0.012923 (0.012964) Loss: 0.31209 (0.36293) +2025-08-23,04:15:12 | INFO | Train Epoch: 7 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.42415 (0.35136) Boundary_loss: 0.012962 (0.012964) Loss: 0.43711 (0.36433) +2025-08-23,04:16:11 | INFO | Train Epoch: 7 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.33060 (0.35098) Boundary_loss: 0.012861 (0.012962) Loss: 0.34346 (0.36394) +2025-08-23,04:17:09 | INFO | Train Epoch: 7 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.40119 (0.35189) Boundary_loss: 0.012965 (0.012962) Loss: 0.41416 (0.36485) +2025-08-23,04:18:08 | INFO | Train Epoch: 7 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.37105 (0.35223) Boundary_loss: 0.012895 (0.012961) Loss: 0.38395 (0.36519) +2025-08-23,04:19:07 | INFO | Train Epoch: 7 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 0.32252 (0.35171) Boundary_loss: 0.012938 (0.012961) Loss: 0.33545 (0.36467) +2025-08-23,04:20:06 | INFO | Train Epoch: 7 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.29693 (0.35077) Boundary_loss: 0.012977 (0.012961) Loss: 0.30990 (0.36373) +2025-08-23,04:21:05 | INFO | Train Epoch: 7 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.30605 (0.35001) Boundary_loss: 0.012991 (0.012961) Loss: 0.31904 (0.36297) +2025-08-23,04:22:03 | INFO | Train Epoch: 7 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.33119 (0.34970) Boundary_loss: 0.012861 (0.012960) Loss: 0.34405 (0.36266) +2025-08-23,04:23:02 | INFO | Train Epoch: 7 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.35866 (0.34984) Boundary_loss: 0.012935 (0.012959) Loss: 0.37159 (0.36280) +2025-08-23,04:24:01 | INFO | Train Epoch: 7 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.35797 (0.34997) Boundary_loss: 0.012915 (0.012959) Loss: 0.37088 (0.36293) +2025-08-23,04:25:00 | INFO | Train Epoch: 7 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.33175 (0.34968) Boundary_loss: 0.012920 (0.012958) Loss: 0.34467 (0.36264) +2025-08-23,04:25:58 | INFO | Train Epoch: 7 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 18.887 Boundary Ratio: 0.096 Contrastive_loss: 0.38601 (0.35025) Boundary_loss: 0.013028 (0.012959) Loss: 0.39904 (0.36321) +2025-08-23,04:26:57 | INFO | Train Epoch: 7 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.36554 (0.35049) Boundary_loss: 0.012946 (0.012959) Loss: 0.37849 (0.36345) +2025-08-23,04:27:56 | INFO | Train Epoch: 7 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.34467 (0.35040) Boundary_loss: 0.012937 (0.012959) Loss: 0.35761 (0.36336) +2025-08-23,04:28:55 | INFO | Train Epoch: 7 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.26925 (0.34919) Boundary_loss: 0.012940 (0.012958) Loss: 0.28219 (0.36215) +2025-08-23,04:29:53 | INFO | Train Epoch: 7 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.35625 (0.34929) Boundary_loss: 0.013028 (0.012959) Loss: 0.36927 (0.36225) +2025-08-23,04:30:52 | INFO | Train Epoch: 7 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.30930 (0.34871) Boundary_loss: 0.012957 (0.012959) Loss: 0.32226 (0.36167) +2025-08-23,04:31:51 | INFO | Train Epoch: 7 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.598 Boundary Ratio: 0.100 Contrastive_loss: 0.33606 (0.34853) Boundary_loss: 0.012912 (0.012959) Loss: 0.34897 (0.36149) +2025-08-23,04:32:50 | INFO | Train Epoch: 7 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.26596 (0.34737) Boundary_loss: 0.012892 (0.012958) Loss: 0.27886 (0.36033) +2025-08-23,04:33:49 | INFO | Train Epoch: 7 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.33860 (0.34725) Boundary_loss: 0.012997 (0.012958) Loss: 0.35160 (0.36021) +2025-08-23,04:34:47 | INFO | Train Epoch: 7 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.33814 (0.34712) Boundary_loss: 0.012885 (0.012957) Loss: 0.35102 (0.36008) +2025-08-23,04:35:46 | INFO | Train Epoch: 7 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.30417 (0.34654) Boundary_loss: 0.012896 (0.012956) Loss: 0.31706 (0.35950) +2025-08-23,04:36:45 | INFO | Train Epoch: 7 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.33506 (0.34639) Boundary_loss: 0.013006 (0.012957) Loss: 0.34807 (0.35935) +2025-08-23,04:37:44 | INFO | Train Epoch: 7 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.36730 (0.34666) Boundary_loss: 0.013000 (0.012958) Loss: 0.38030 (0.35962) +2025-08-23,04:38:43 | INFO | Train Epoch: 7 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.40840 (0.34747) Boundary_loss: 0.012823 (0.012956) Loss: 0.42122 (0.36042) +2025-08-23,04:39:41 | INFO | Train Epoch: 7 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.39234 (0.34804) Boundary_loss: 0.012961 (0.012956) Loss: 0.40530 (0.36100) +2025-08-23,04:40:40 | INFO | Train Epoch: 7 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.33206 (0.34784) Boundary_loss: 0.013011 (0.012957) Loss: 0.34507 (0.36080) +2025-08-23,04:41:39 | INFO | Train Epoch: 7 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.36377 (0.34804) Boundary_loss: 0.013019 (0.012957) Loss: 0.37679 (0.36099) +2025-08-23,04:42:38 | INFO | Train Epoch: 7 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.27836 (0.34718) Boundary_loss: 0.012883 (0.012956) Loss: 0.29125 (0.36013) +2025-08-23,04:43:36 | INFO | Train Epoch: 7 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.32497 (0.34691) Boundary_loss: 0.012969 (0.012957) Loss: 0.33793 (0.35986) +2025-08-23,04:44:35 | INFO | Train Epoch: 7 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.34663 (0.34690) Boundary_loss: 0.013026 (0.012957) Loss: 0.35966 (0.35986) +2025-08-23,04:45:34 | INFO | Train Epoch: 7 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.38412 (0.34735) Boundary_loss: 0.012876 (0.012956) Loss: 0.39699 (0.36030) +2025-08-23,04:46:33 | INFO | Train Epoch: 7 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 18.793 Boundary Ratio: 0.096 Contrastive_loss: 0.37109 (0.34763) Boundary_loss: 0.012951 (0.012956) Loss: 0.38404 (0.36058) +2025-08-23,04:47:32 | INFO | Train Epoch: 7 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.30464 (0.34713) Boundary_loss: 0.012980 (0.012957) Loss: 0.31762 (0.36008) +2025-08-23,04:48:31 | INFO | Train Epoch: 7 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.37494 (0.34745) Boundary_loss: 0.012938 (0.012956) Loss: 0.38788 (0.36040) +2025-08-23,04:49:29 | INFO | Train Epoch: 7 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.34078 (0.34737) Boundary_loss: 0.012893 (0.012956) Loss: 0.35368 (0.36033) +2025-08-23,04:50:28 | INFO | Train Epoch: 7 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.35296 (0.34743) Boundary_loss: 0.012985 (0.012956) Loss: 0.36595 (0.36039) +2025-08-23,04:51:27 | INFO | Train Epoch: 7 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 18.949 Boundary Ratio: 0.097 Contrastive_loss: 0.39237 (0.34793) Boundary_loss: 0.012967 (0.012956) Loss: 0.40534 (0.36089) +2025-08-23,04:52:26 | INFO | Train Epoch: 7 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.35961 (0.34806) Boundary_loss: 0.012945 (0.012956) Loss: 0.37256 (0.36102) +2025-08-23,04:53:24 | INFO | Train Epoch: 7 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.31488 (0.34770) Boundary_loss: 0.012927 (0.012956) Loss: 0.32781 (0.36066) +2025-08-23,04:54:23 | INFO | Train Epoch: 7 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.44017 (0.34869) Boundary_loss: 0.012968 (0.012956) Loss: 0.45314 (0.36165) +2025-08-23,04:55:22 | INFO | Train Epoch: 7 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.37895 (0.34902) Boundary_loss: 0.013048 (0.012957) Loss: 0.39199 (0.36197) +2025-08-23,04:56:21 | INFO | Train Epoch: 7 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.40897 (0.34965) Boundary_loss: 0.012901 (0.012956) Loss: 0.42187 (0.36260) +2025-08-23,04:57:20 | INFO | Train Epoch: 7 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.34236 (0.34957) Boundary_loss: 0.012971 (0.012956) Loss: 0.35533 (0.36253) +2025-08-23,04:58:18 | INFO | Train Epoch: 7 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.41164 (0.35021) Boundary_loss: 0.012984 (0.012957) Loss: 0.42462 (0.36317) +2025-08-23,04:59:17 | INFO | Train Epoch: 7 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.39237 (0.35064) Boundary_loss: 0.012909 (0.012956) Loss: 0.40527 (0.36360) +2025-08-23,05:00:16 | INFO | Train Epoch: 7 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.37686 (0.35091) Boundary_loss: 0.013038 (0.012957) Loss: 0.38990 (0.36386) +2025-08-23,05:01:15 | INFO | Train Epoch: 7 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.34047 (0.35080) Boundary_loss: 0.013014 (0.012958) Loss: 0.35348 (0.36376) +2025-08-23,05:02:14 | INFO | Train Epoch: 7 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.721 Boundary Ratio: 0.101 Contrastive_loss: 0.34474 (0.35074) Boundary_loss: 0.013026 (0.012958) Loss: 0.35777 (0.36370) +2025-08-23,05:03:12 | INFO | Train Epoch: 7 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.35486 (0.35078) Boundary_loss: 0.012992 (0.012959) Loss: 0.36786 (0.36374) +2025-08-23,05:04:11 | INFO | Train Epoch: 7 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.680 Boundary Ratio: 0.100 Contrastive_loss: 0.33243 (0.35060) Boundary_loss: 0.013056 (0.012960) Loss: 0.34549 (0.36356) +2025-08-23,05:05:10 | INFO | Train Epoch: 7 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.33746 (0.35048) Boundary_loss: 0.013058 (0.012961) Loss: 0.35052 (0.36344) +2025-08-23,05:06:09 | INFO | Train Epoch: 7 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.28818 (0.34988) Boundary_loss: 0.012900 (0.012960) Loss: 0.30108 (0.36284) +2025-08-23,05:07:08 | INFO | Train Epoch: 7 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.31381 (0.34954) Boundary_loss: 0.012877 (0.012959) Loss: 0.32669 (0.36250) +2025-08-23,05:08:07 | INFO | Train Epoch: 7 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.30123 (0.34909) Boundary_loss: 0.012965 (0.012959) Loss: 0.31419 (0.36205) +2025-08-23,05:09:05 | INFO | Train Epoch: 7 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.35380 (0.34914) Boundary_loss: 0.012945 (0.012959) Loss: 0.36675 (0.36209) +2025-08-23,05:10:04 | INFO | Train Epoch: 7 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.36868 (0.34932) Boundary_loss: 0.012906 (0.012959) Loss: 0.38158 (0.36227) +2025-08-23,05:11:03 | INFO | Train Epoch: 7 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.40775 (0.34985) Boundary_loss: 0.012905 (0.012958) Loss: 0.42065 (0.36280) +2025-08-23,05:12:02 | INFO | Train Epoch: 7 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.37455 (0.35007) Boundary_loss: 0.012917 (0.012958) Loss: 0.38747 (0.36303) +2025-08-23,05:13:01 | INFO | Train Epoch: 7 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.35179 (0.35008) Boundary_loss: 0.013041 (0.012959) Loss: 0.36483 (0.36304) +2025-08-23,05:13:59 | INFO | Train Epoch: 7 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.27858 (0.34945) Boundary_loss: 0.012964 (0.012959) Loss: 0.29154 (0.36241) +2025-08-23,05:14:58 | INFO | Train Epoch: 7 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.31424 (0.34914) Boundary_loss: 0.012962 (0.012959) Loss: 0.32720 (0.36210) +2025-08-23,05:15:57 | INFO | Train Epoch: 7 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.29075 (0.34863) Boundary_loss: 0.012969 (0.012959) Loss: 0.30371 (0.36159) +2025-08-23,05:16:56 | INFO | Train Epoch: 7 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.32217 (0.34841) Boundary_loss: 0.012970 (0.012959) Loss: 0.33514 (0.36137) +2025-08-23,05:17:55 | INFO | Train Epoch: 7 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.22107 (0.34732) Boundary_loss: 0.012982 (0.012959) Loss: 0.23406 (0.36028) +2025-08-23,05:18:53 | INFO | Train Epoch: 7 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.36648 (0.34748) Boundary_loss: 0.012994 (0.012959) Loss: 0.37947 (0.36044) +2025-08-23,05:19:52 | INFO | Train Epoch: 7 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.36798 (0.34765) Boundary_loss: 0.013023 (0.012960) Loss: 0.38100 (0.36061) +2025-08-23,05:20:51 | INFO | Train Epoch: 7 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.34950 (0.34767) Boundary_loss: 0.012954 (0.012960) Loss: 0.36246 (0.36063) +2025-08-23,05:21:50 | INFO | Train Epoch: 7 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.36514 (0.34781) Boundary_loss: 0.012990 (0.012960) Loss: 0.37813 (0.36077) +2025-08-23,05:22:49 | INFO | Train Epoch: 7 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.34246 (0.34777) Boundary_loss: 0.013002 (0.012960) Loss: 0.35547 (0.36073) +2025-08-23,05:23:48 | INFO | Train Epoch: 7 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.33553 (0.34767) Boundary_loss: 0.012978 (0.012960) Loss: 0.34851 (0.36063) +2025-08-23,05:24:46 | INFO | Train Epoch: 7 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.35059 (0.34769) Boundary_loss: 0.012921 (0.012960) Loss: 0.36351 (0.36065) +2025-08-23,05:25:45 | INFO | Train Epoch: 7 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.36046 (0.34780) Boundary_loss: 0.012902 (0.012960) Loss: 0.37336 (0.36075) +2025-08-23,05:26:44 | INFO | Train Epoch: 7 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.32048 (0.34758) Boundary_loss: 0.013067 (0.012961) Loss: 0.33354 (0.36054) +2025-08-23,05:27:43 | INFO | Train Epoch: 7 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.35180 (0.34761) Boundary_loss: 0.012985 (0.012961) Loss: 0.36478 (0.36057) +2025-08-23,05:28:42 | INFO | Train Epoch: 7 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.35877 (0.34770) Boundary_loss: 0.013038 (0.012961) Loss: 0.37181 (0.36066) +2025-08-23,05:29:41 | INFO | Train Epoch: 7 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.27594 (0.34714) Boundary_loss: 0.012901 (0.012961) Loss: 0.28884 (0.36010) +2025-08-23,05:30:39 | INFO | Train Epoch: 7 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.31291 (0.34688) Boundary_loss: 0.012924 (0.012961) Loss: 0.32583 (0.35984) +2025-08-23,05:31:38 | INFO | Train Epoch: 7 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.35842 (0.34697) Boundary_loss: 0.012967 (0.012961) Loss: 0.37139 (0.35993) +2025-08-23,05:32:37 | INFO | Train Epoch: 7 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.30809 (0.34667) Boundary_loss: 0.012897 (0.012960) Loss: 0.32099 (0.35963) +2025-08-23,05:33:36 | INFO | Train Epoch: 7 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 0.37217 (0.34686) Boundary_loss: 0.013043 (0.012961) Loss: 0.38521 (0.35983) +2025-08-23,05:34:35 | INFO | Train Epoch: 7 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.38744 (0.34717) Boundary_loss: 0.013045 (0.012961) Loss: 0.40049 (0.36013) +2025-08-23,05:35:33 | INFO | Train Epoch: 7 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.32342 (0.34699) Boundary_loss: 0.012905 (0.012961) Loss: 0.33632 (0.35995) +2025-08-23,05:36:32 | INFO | Train Epoch: 7 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.47626 (0.34794) Boundary_loss: 0.012974 (0.012961) Loss: 0.48923 (0.36090) +2025-08-23,05:37:31 | INFO | Train Epoch: 7 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.29930 (0.34759) Boundary_loss: 0.012986 (0.012961) Loss: 0.31229 (0.36055) +2025-08-23,05:38:30 | INFO | Train Epoch: 7 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.31106 (0.34732) Boundary_loss: 0.012886 (0.012961) Loss: 0.32395 (0.36028) +2025-08-23,05:39:29 | INFO | Train Epoch: 7 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.37245 (0.34750) Boundary_loss: 0.012983 (0.012961) Loss: 0.38543 (0.36046) +2025-08-23,05:40:28 | INFO | Train Epoch: 7 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.30851 (0.34722) Boundary_loss: 0.012931 (0.012961) Loss: 0.32144 (0.36018) +2025-08-23,05:41:26 | INFO | Train Epoch: 7 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.34210 (0.34719) Boundary_loss: 0.013085 (0.012962) Loss: 0.35519 (0.36015) +2025-08-23,05:42:25 | INFO | Train Epoch: 7 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.38334 (0.34744) Boundary_loss: 0.012940 (0.012961) Loss: 0.39628 (0.36040) +2025-08-23,05:43:24 | INFO | Train Epoch: 7 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.36645 (0.34758) Boundary_loss: 0.012939 (0.012961) Loss: 0.37939 (0.36054) +2025-08-23,05:44:23 | INFO | Train Epoch: 7 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.35385 (0.34762) Boundary_loss: 0.012966 (0.012961) Loss: 0.36682 (0.36058) +2025-08-23,05:45:22 | INFO | Train Epoch: 7 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.31462 (0.34739) Boundary_loss: 0.012992 (0.012962) Loss: 0.32761 (0.36035) +2025-08-23,05:46:21 | INFO | Train Epoch: 7 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.31515 (0.34717) Boundary_loss: 0.012867 (0.012961) Loss: 0.32801 (0.36013) +2025-08-23,05:47:19 | INFO | Train Epoch: 7 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.27567 (0.34668) Boundary_loss: 0.012892 (0.012960) Loss: 0.28857 (0.35964) +2025-08-23,05:48:18 | INFO | Train Epoch: 7 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.32616 (0.34655) Boundary_loss: 0.013048 (0.012961) Loss: 0.33920 (0.35951) +2025-08-23,05:49:17 | INFO | Train Epoch: 7 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.33068 (0.34644) Boundary_loss: 0.012741 (0.012959) Loss: 0.34342 (0.35940) +2025-08-23,05:50:16 | INFO | Train Epoch: 7 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.26943 (0.34593) Boundary_loss: 0.012902 (0.012959) Loss: 0.28233 (0.35888) +2025-08-23,05:51:15 | INFO | Train Epoch: 7 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 0.28886 (0.34555) Boundary_loss: 0.013047 (0.012960) Loss: 0.30191 (0.35851) +2025-08-23,05:52:14 | INFO | Train Epoch: 7 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.611 Boundary Ratio: 0.100 Contrastive_loss: 0.34347 (0.34553) Boundary_loss: 0.013059 (0.012960) Loss: 0.35653 (0.35849) +2025-08-23,05:53:12 | INFO | Train Epoch: 7 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.34678 (0.34554) Boundary_loss: 0.012955 (0.012960) Loss: 0.35974 (0.35850) +2025-08-23,05:54:11 | INFO | Train Epoch: 7 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.35220 (0.34559) Boundary_loss: 0.012873 (0.012960) Loss: 0.36507 (0.35855) +2025-08-23,05:55:10 | INFO | Train Epoch: 7 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.33587 (0.34552) Boundary_loss: 0.012965 (0.012960) Loss: 0.34883 (0.35848) +2025-08-23,05:56:09 | INFO | Train Epoch: 7 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.28739 (0.34515) Boundary_loss: 0.012910 (0.012959) Loss: 0.30030 (0.35811) +2025-08-23,05:57:08 | INFO | Train Epoch: 7 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 18.922 Boundary Ratio: 0.097 Contrastive_loss: 0.34181 (0.34513) Boundary_loss: 0.012988 (0.012960) Loss: 0.35480 (0.35809) +2025-08-23,05:58:06 | INFO | Train Epoch: 7 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.46126 (0.34586) Boundary_loss: 0.012962 (0.012960) Loss: 0.47422 (0.35882) +2025-08-23,05:59:05 | INFO | Train Epoch: 7 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.40199 (0.34622) Boundary_loss: 0.013047 (0.012960) Loss: 0.41504 (0.35918) +2025-08-23,06:00:04 | INFO | Train Epoch: 7 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.37536 (0.34640) Boundary_loss: 0.012971 (0.012960) Loss: 0.38833 (0.35936) +2025-08-23,06:01:03 | INFO | Train Epoch: 7 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.38970 (0.34667) Boundary_loss: 0.012864 (0.012960) Loss: 0.40257 (0.35963) +2025-08-23,06:02:02 | INFO | Train Epoch: 7 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 18.918 Boundary Ratio: 0.097 Contrastive_loss: 0.33960 (0.34662) Boundary_loss: 0.012923 (0.012959) Loss: 0.35253 (0.35958) +2025-08-23,06:03:01 | INFO | Train Epoch: 7 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.34629 (0.34662) Boundary_loss: 0.012901 (0.012959) Loss: 0.35919 (0.35958) +2025-08-23,06:03:59 | INFO | Train Epoch: 7 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.39145 (0.34690) Boundary_loss: 0.012972 (0.012959) Loss: 0.40442 (0.35985) +2025-08-23,06:04:58 | INFO | Train Epoch: 7 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.38286 (0.34711) Boundary_loss: 0.012916 (0.012959) Loss: 0.39577 (0.36007) +2025-08-23,06:05:57 | INFO | Train Epoch: 7 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.34169 (0.34708) Boundary_loss: 0.012911 (0.012959) Loss: 0.35460 (0.36004) +2025-08-23,06:06:56 | INFO | Train Epoch: 7 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.38312 (0.34730) Boundary_loss: 0.013078 (0.012959) Loss: 0.39620 (0.36026) +2025-08-23,06:07:55 | INFO | Train Epoch: 7 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.34128 (0.34726) Boundary_loss: 0.012963 (0.012959) Loss: 0.35425 (0.36022) +2025-08-23,06:08:54 | INFO | Train Epoch: 7 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.34302 (0.34724) Boundary_loss: 0.013012 (0.012960) Loss: 0.35603 (0.36020) +2025-08-23,06:09:52 | INFO | Train Epoch: 7 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.31047 (0.34702) Boundary_loss: 0.012878 (0.012959) Loss: 0.32335 (0.35998) +2025-08-23,06:10:51 | INFO | Train Epoch: 7 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.35775 (0.34708) Boundary_loss: 0.013022 (0.012960) Loss: 0.37078 (0.36004) +2025-08-23,06:11:50 | INFO | Train Epoch: 7 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.31444 (0.34689) Boundary_loss: 0.012960 (0.012960) Loss: 0.32740 (0.35985) +2025-08-23,06:12:49 | INFO | Train Epoch: 7 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 18.975 Boundary Ratio: 0.097 Contrastive_loss: 0.34143 (0.34686) Boundary_loss: 0.012967 (0.012960) Loss: 0.35440 (0.35982) +2025-08-23,06:13:48 | INFO | Train Epoch: 7 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.34045 (0.34682) Boundary_loss: 0.012998 (0.012960) Loss: 0.35345 (0.35978) +2025-08-23,06:14:46 | INFO | Train Epoch: 7 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.38440 (0.34704) Boundary_loss: 0.012969 (0.012960) Loss: 0.39737 (0.36000) +2025-08-23,06:15:45 | INFO | Train Epoch: 7 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.35801 (0.34710) Boundary_loss: 0.012935 (0.012960) Loss: 0.37094 (0.36006) +2025-08-23,06:16:44 | INFO | Train Epoch: 7 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.32079 (0.34695) Boundary_loss: 0.013078 (0.012960) Loss: 0.33387 (0.35991) +2025-08-23,06:17:43 | INFO | Train Epoch: 7 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.30525 (0.34672) Boundary_loss: 0.012976 (0.012960) Loss: 0.31823 (0.35968) +2025-08-23,06:18:42 | INFO | Train Epoch: 7 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.28974 (0.34640) Boundary_loss: 0.012983 (0.012961) Loss: 0.30272 (0.35936) +2025-08-23,06:19:40 | INFO | Train Epoch: 7 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.32972 (0.34631) Boundary_loss: 0.012899 (0.012960) Loss: 0.34262 (0.35927) +2025-08-23,06:20:39 | INFO | Train Epoch: 7 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.30037 (0.34605) Boundary_loss: 0.012777 (0.012959) Loss: 0.31315 (0.35901) +2025-08-23,06:21:38 | INFO | Train Epoch: 7 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.45475 (0.34665) Boundary_loss: 0.012913 (0.012959) Loss: 0.46766 (0.35961) +2025-08-23,06:22:37 | INFO | Train Epoch: 7 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.34067 (0.34662) Boundary_loss: 0.012832 (0.012958) Loss: 0.35350 (0.35958) +2025-08-23,06:23:36 | INFO | Train Epoch: 7 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.30319 (0.34638) Boundary_loss: 0.012871 (0.012958) Loss: 0.31606 (0.35934) +2025-08-23,06:24:35 | INFO | Train Epoch: 7 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.35547 (0.34643) Boundary_loss: 0.012958 (0.012958) Loss: 0.36843 (0.35939) +2025-08-23,06:25:33 | INFO | Train Epoch: 7 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.33729 (0.34638) Boundary_loss: 0.012903 (0.012958) Loss: 0.35020 (0.35934) +2025-08-23,06:26:32 | INFO | Train Epoch: 7 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.33313 (0.34631) Boundary_loss: 0.012828 (0.012957) Loss: 0.34596 (0.35927) +2025-08-23,06:27:31 | INFO | Train Epoch: 7 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.34860 (0.34632) Boundary_loss: 0.012991 (0.012957) Loss: 0.36159 (0.35928) +2025-08-23,06:28:30 | INFO | Train Epoch: 7 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.34568 (0.34632) Boundary_loss: 0.013084 (0.012958) Loss: 0.35876 (0.35928) +2025-08-23,06:29:29 | INFO | Train Epoch: 7 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.33577 (0.34626) Boundary_loss: 0.013086 (0.012958) Loss: 0.34885 (0.35922) +2025-08-23,06:30:27 | INFO | Train Epoch: 7 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.35302 (0.34630) Boundary_loss: 0.012995 (0.012959) Loss: 0.36601 (0.35926) +2025-08-23,06:31:26 | INFO | Train Epoch: 7 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 18.863 Boundary Ratio: 0.096 Contrastive_loss: 0.34530 (0.34629) Boundary_loss: 0.012998 (0.012959) Loss: 0.35830 (0.35925) +2025-08-23,06:32:25 | INFO | Train Epoch: 7 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.31296 (0.34612) Boundary_loss: 0.012888 (0.012958) Loss: 0.32585 (0.35908) +2025-08-23,06:33:24 | INFO | Train Epoch: 7 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.24051 (0.34558) Boundary_loss: 0.012928 (0.012958) Loss: 0.25344 (0.35854) +2025-08-23,06:34:23 | INFO | Train Epoch: 7 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.578 Boundary Ratio: 0.100 Contrastive_loss: 0.28305 (0.34526) Boundary_loss: 0.012928 (0.012958) Loss: 0.29598 (0.35821) +2025-08-23,06:35:22 | INFO | Train Epoch: 7 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 0.27214 (0.34488) Boundary_loss: 0.012969 (0.012958) Loss: 0.28511 (0.35784) +2025-08-23,06:36:20 | INFO | Train Epoch: 7 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.29432 (0.34463) Boundary_loss: 0.012848 (0.012958) Loss: 0.30716 (0.35758) +2025-08-23,06:37:19 | INFO | Train Epoch: 7 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.35828 (0.34470) Boundary_loss: 0.012947 (0.012958) Loss: 0.37123 (0.35765) +2025-08-23,06:38:18 | INFO | Train Epoch: 7 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.28499 (0.34440) Boundary_loss: 0.012933 (0.012957) Loss: 0.29792 (0.35735) +2025-08-23,06:39:17 | INFO | Train Epoch: 7 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.39463 (0.34465) Boundary_loss: 0.013017 (0.012958) Loss: 0.40764 (0.35760) +2025-08-23,06:40:15 | INFO | Train Epoch: 7 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.39266 (0.34489) Boundary_loss: 0.012862 (0.012957) Loss: 0.40553 (0.35784) +2025-08-23,06:41:14 | INFO | Train Epoch: 7 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.36423 (0.34498) Boundary_loss: 0.012913 (0.012957) Loss: 0.37715 (0.35794) +2025-08-23,06:42:13 | INFO | Train Epoch: 7 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.30943 (0.34481) Boundary_loss: 0.012880 (0.012957) Loss: 0.32231 (0.35776) +2025-08-23,06:43:12 | INFO | Train Epoch: 7 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.36927 (0.34493) Boundary_loss: 0.012872 (0.012956) Loss: 0.38214 (0.35788) +2025-08-23,06:44:11 | INFO | Train Epoch: 7 [10445312/26365952 (40%)] Avg Boundaries (per batch): 18.955 Boundary Ratio: 0.097 Contrastive_loss: 0.30647 (0.34474) Boundary_loss: 0.012981 (0.012956) Loss: 0.31945 (0.35770) +2025-08-23,06:45:09 | INFO | Train Epoch: 7 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.33600 (0.34470) Boundary_loss: 0.012912 (0.012956) Loss: 0.34892 (0.35765) +2025-08-23,06:46:08 | INFO | Train Epoch: 7 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.30750 (0.34452) Boundary_loss: 0.012929 (0.012956) Loss: 0.32043 (0.35747) +2025-08-23,06:47:07 | INFO | Train Epoch: 7 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.35727 (0.34458) Boundary_loss: 0.012853 (0.012956) Loss: 0.37012 (0.35753) +2025-08-23,06:48:06 | INFO | Train Epoch: 7 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.35075 (0.34461) Boundary_loss: 0.012951 (0.012955) Loss: 0.36370 (0.35756) +2025-08-23,06:49:05 | INFO | Train Epoch: 7 [10701312/26365952 (41%)] Avg Boundaries (per batch): 18.791 Boundary Ratio: 0.096 Contrastive_loss: 0.34694 (0.34462) Boundary_loss: 0.012858 (0.012955) Loss: 0.35980 (0.35757) +2025-08-23,06:50:03 | INFO | Train Epoch: 7 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.33877 (0.34459) Boundary_loss: 0.013040 (0.012955) Loss: 0.35181 (0.35755) +2025-08-23,06:51:02 | INFO | Train Epoch: 7 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.29333 (0.34435) Boundary_loss: 0.012956 (0.012955) Loss: 0.30628 (0.35730) +2025-08-23,06:52:01 | INFO | Train Epoch: 7 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.36482 (0.34445) Boundary_loss: 0.012857 (0.012955) Loss: 0.37768 (0.35740) +2025-08-23,06:52:59 | INFO | Train Epoch: 7 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.30982 (0.34428) Boundary_loss: 0.012966 (0.012955) Loss: 0.32278 (0.35724) +2025-08-23,06:53:58 | INFO | Train Epoch: 7 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.39725 (0.34453) Boundary_loss: 0.012939 (0.012955) Loss: 0.41019 (0.35748) +2025-08-23,06:54:57 | INFO | Train Epoch: 7 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.32238 (0.34443) Boundary_loss: 0.012949 (0.012955) Loss: 0.33533 (0.35738) +2025-08-23,06:55:56 | INFO | Train Epoch: 7 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.43188 (0.34483) Boundary_loss: 0.012983 (0.012955) Loss: 0.44487 (0.35779) +2025-08-23,06:56:55 | INFO | Train Epoch: 7 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.36015 (0.34490) Boundary_loss: 0.012904 (0.012955) Loss: 0.37305 (0.35786) +2025-08-23,06:57:53 | INFO | Train Epoch: 7 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.689 Boundary Ratio: 0.100 Contrastive_loss: 0.31639 (0.34477) Boundary_loss: 0.012891 (0.012955) Loss: 0.32928 (0.35773) +2025-08-23,06:58:52 | INFO | Train Epoch: 7 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.33630 (0.34473) Boundary_loss: 0.013000 (0.012955) Loss: 0.34930 (0.35769) +2025-08-23,06:59:51 | INFO | Train Epoch: 7 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.592 Boundary Ratio: 0.100 Contrastive_loss: 0.26776 (0.34438) Boundary_loss: 0.013048 (0.012955) Loss: 0.28081 (0.35734) +2025-08-23,07:00:50 | INFO | Train Epoch: 7 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.34359 (0.34438) Boundary_loss: 0.013041 (0.012956) Loss: 0.35663 (0.35734) +2025-08-23,07:01:49 | INFO | Train Epoch: 7 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.32815 (0.34431) Boundary_loss: 0.012981 (0.012956) Loss: 0.34113 (0.35726) +2025-08-23,07:02:47 | INFO | Train Epoch: 7 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.31327 (0.34417) Boundary_loss: 0.012891 (0.012955) Loss: 0.32616 (0.35712) +2025-08-23,07:03:46 | INFO | Train Epoch: 7 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.34354 (0.34417) Boundary_loss: 0.012876 (0.012955) Loss: 0.35641 (0.35712) +2025-08-23,07:04:45 | INFO | Train Epoch: 7 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.29933 (0.34397) Boundary_loss: 0.012932 (0.012955) Loss: 0.31227 (0.35692) +2025-08-23,07:05:44 | INFO | Train Epoch: 7 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.32194 (0.34387) Boundary_loss: 0.012924 (0.012955) Loss: 0.33486 (0.35683) +2025-08-23,07:06:43 | INFO | Train Epoch: 7 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.33086 (0.34381) Boundary_loss: 0.012943 (0.012955) Loss: 0.34380 (0.35677) +2025-08-23,07:07:41 | INFO | Train Epoch: 7 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.30621 (0.34365) Boundary_loss: 0.012951 (0.012955) Loss: 0.31916 (0.35660) +2025-08-23,07:08:40 | INFO | Train Epoch: 7 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.39380 (0.34387) Boundary_loss: 0.012893 (0.012954) Loss: 0.40669 (0.35682) +2025-08-23,07:09:39 | INFO | Train Epoch: 7 [11776512/26365952 (45%)] Avg Boundaries (per batch): 18.898 Boundary Ratio: 0.096 Contrastive_loss: 0.32164 (0.34377) Boundary_loss: 0.013072 (0.012955) Loss: 0.33471 (0.35673) +2025-08-23,07:10:38 | INFO | Train Epoch: 7 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.32806 (0.34370) Boundary_loss: 0.012989 (0.012955) Loss: 0.34105 (0.35666) +2025-08-23,07:11:37 | INFO | Train Epoch: 7 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.699 Boundary Ratio: 0.101 Contrastive_loss: 0.36083 (0.34378) Boundary_loss: 0.012938 (0.012955) Loss: 0.37377 (0.35673) +2025-08-23,07:12:35 | INFO | Train Epoch: 7 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.697 Boundary Ratio: 0.100 Contrastive_loss: 0.32977 (0.34372) Boundary_loss: 0.012952 (0.012955) Loss: 0.34272 (0.35667) +2025-08-23,07:13:34 | INFO | Train Epoch: 7 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.39408 (0.34393) Boundary_loss: 0.012930 (0.012955) Loss: 0.40701 (0.35689) +2025-08-23,07:14:33 | INFO | Train Epoch: 7 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.35086 (0.34396) Boundary_loss: 0.012887 (0.012955) Loss: 0.36375 (0.35692) +2025-08-23,07:15:32 | INFO | Train Epoch: 7 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.24383 (0.34354) Boundary_loss: 0.012992 (0.012955) Loss: 0.25682 (0.35649) +2025-08-23,07:16:31 | INFO | Train Epoch: 7 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.29685 (0.34334) Boundary_loss: 0.012899 (0.012955) Loss: 0.30975 (0.35630) +2025-08-23,07:17:30 | INFO | Train Epoch: 7 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.37492 (0.34347) Boundary_loss: 0.012983 (0.012955) Loss: 0.38790 (0.35643) +2025-08-23,07:18:28 | INFO | Train Epoch: 7 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.41711 (0.34378) Boundary_loss: 0.012980 (0.012955) Loss: 0.43009 (0.35674) +2025-08-23,07:19:27 | INFO | Train Epoch: 7 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.28163 (0.34352) Boundary_loss: 0.012874 (0.012954) Loss: 0.29451 (0.35648) +2025-08-23,07:20:26 | INFO | Train Epoch: 7 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.38167 (0.34368) Boundary_loss: 0.012943 (0.012954) Loss: 0.39461 (0.35664) +2025-08-23,07:21:25 | INFO | Train Epoch: 7 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 0.40781 (0.34394) Boundary_loss: 0.012930 (0.012954) Loss: 0.42074 (0.35690) +2025-08-23,07:22:23 | INFO | Train Epoch: 7 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.29128 (0.34373) Boundary_loss: 0.013043 (0.012955) Loss: 0.30432 (0.35668) +2025-08-23,07:23:22 | INFO | Train Epoch: 7 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.33679 (0.34370) Boundary_loss: 0.012880 (0.012954) Loss: 0.34967 (0.35665) +2025-08-23,07:24:21 | INFO | Train Epoch: 7 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.39147 (0.34389) Boundary_loss: 0.012970 (0.012954) Loss: 0.40444 (0.35685) +2025-08-23,07:25:20 | INFO | Train Epoch: 7 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.30312 (0.34373) Boundary_loss: 0.012941 (0.012954) Loss: 0.31606 (0.35668) +2025-08-23,07:26:19 | INFO | Train Epoch: 7 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.33503 (0.34369) Boundary_loss: 0.012905 (0.012954) Loss: 0.34793 (0.35665) +2025-08-23,07:27:17 | INFO | Train Epoch: 7 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.34548 (0.34370) Boundary_loss: 0.012940 (0.012954) Loss: 0.35842 (0.35666) +2025-08-23,07:28:16 | INFO | Train Epoch: 7 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.35659 (0.34375) Boundary_loss: 0.012916 (0.012954) Loss: 0.36950 (0.35671) +2025-08-23,07:29:15 | INFO | Train Epoch: 7 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.29967 (0.34358) Boundary_loss: 0.012977 (0.012954) Loss: 0.31265 (0.35653) +2025-08-23,07:30:14 | INFO | Train Epoch: 7 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.26937 (0.34328) Boundary_loss: 0.013029 (0.012954) Loss: 0.28240 (0.35624) +2025-08-23,07:31:13 | INFO | Train Epoch: 7 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.30033 (0.34311) Boundary_loss: 0.012924 (0.012954) Loss: 0.31325 (0.35607) +2025-08-23,07:32:12 | INFO | Train Epoch: 7 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.34481 (0.34312) Boundary_loss: 0.012894 (0.012954) Loss: 0.35770 (0.35607) +2025-08-23,07:33:10 | INFO | Train Epoch: 7 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.30963 (0.34299) Boundary_loss: 0.012982 (0.012954) Loss: 0.32262 (0.35594) +2025-08-23,07:34:09 | INFO | Train Epoch: 7 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.27302 (0.34272) Boundary_loss: 0.013002 (0.012954) Loss: 0.28602 (0.35567) +2025-08-23,07:35:08 | INFO | Train Epoch: 7 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.30112 (0.34255) Boundary_loss: 0.012974 (0.012954) Loss: 0.31409 (0.35551) +2025-08-23,07:36:06 | INFO | Train Epoch: 7 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.32603 (0.34249) Boundary_loss: 0.012972 (0.012954) Loss: 0.33901 (0.35544) +2025-08-23,07:37:05 | INFO | Train Epoch: 7 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.32108 (0.34241) Boundary_loss: 0.013029 (0.012955) Loss: 0.33411 (0.35536) +2025-08-23,07:38:04 | INFO | Train Epoch: 7 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.35837 (0.34247) Boundary_loss: 0.012961 (0.012955) Loss: 0.37133 (0.35542) +2025-08-23,07:39:03 | INFO | Train Epoch: 7 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.29901 (0.34230) Boundary_loss: 0.013045 (0.012955) Loss: 0.31206 (0.35526) +2025-08-23,07:40:02 | INFO | Train Epoch: 7 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.33212 (0.34226) Boundary_loss: 0.012954 (0.012955) Loss: 0.34508 (0.35522) +2025-08-23,07:41:00 | INFO | Train Epoch: 7 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.35607 (0.34232) Boundary_loss: 0.013010 (0.012955) Loss: 0.36908 (0.35527) +2025-08-23,07:41:59 | INFO | Train Epoch: 7 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.34936 (0.34234) Boundary_loss: 0.012925 (0.012955) Loss: 0.36229 (0.35530) +2025-08-23,07:42:58 | INFO | Train Epoch: 7 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.28762 (0.34214) Boundary_loss: 0.012974 (0.012955) Loss: 0.30060 (0.35509) +2025-08-23,07:43:57 | INFO | Train Epoch: 7 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.35478 (0.34218) Boundary_loss: 0.012948 (0.012955) Loss: 0.36773 (0.35514) +2025-08-23,07:44:56 | INFO | Train Epoch: 7 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.27150 (0.34192) Boundary_loss: 0.012952 (0.012955) Loss: 0.28445 (0.35487) +2025-08-23,07:45:54 | INFO | Train Epoch: 7 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.37010 (0.34202) Boundary_loss: 0.012987 (0.012955) Loss: 0.38309 (0.35498) +2025-08-23,07:46:53 | INFO | Train Epoch: 7 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.29337 (0.34184) Boundary_loss: 0.012964 (0.012955) Loss: 0.30633 (0.35480) +2025-08-23,07:47:52 | INFO | Train Epoch: 7 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.40763 (0.34209) Boundary_loss: 0.013009 (0.012956) Loss: 0.42064 (0.35504) +2025-08-23,07:48:51 | INFO | Train Epoch: 7 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.559 Boundary Ratio: 0.100 Contrastive_loss: 0.27799 (0.34185) Boundary_loss: 0.012907 (0.012955) Loss: 0.29089 (0.35481) +2025-08-23,07:49:50 | INFO | Train Epoch: 7 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.39787 (0.34206) Boundary_loss: 0.013012 (0.012956) Loss: 0.41089 (0.35501) +2025-08-23,07:50:48 | INFO | Train Epoch: 7 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.36578 (0.34214) Boundary_loss: 0.013022 (0.012956) Loss: 0.37880 (0.35510) +2025-08-23,07:51:47 | INFO | Train Epoch: 7 [13978112/26365952 (53%)] Avg Boundaries (per batch): 18.941 Boundary Ratio: 0.097 Contrastive_loss: 0.36658 (0.34223) Boundary_loss: 0.012838 (0.012955) Loss: 0.37942 (0.35519) +2025-08-23,07:52:46 | INFO | Train Epoch: 7 [14029312/26365952 (53%)] Avg Boundaries (per batch): 18.924 Boundary Ratio: 0.097 Contrastive_loss: 0.32815 (0.34218) Boundary_loss: 0.012764 (0.012955) Loss: 0.34092 (0.35514) +2025-08-23,07:53:45 | INFO | Train Epoch: 7 [14080512/26365952 (53%)] Avg Boundaries (per batch): 18.969 Boundary Ratio: 0.097 Contrastive_loss: 0.29486 (0.34201) Boundary_loss: 0.012849 (0.012954) Loss: 0.30771 (0.35496) +2025-08-23,07:54:44 | INFO | Train Epoch: 7 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.27629 (0.34177) Boundary_loss: 0.012965 (0.012954) Loss: 0.28925 (0.35473) +2025-08-23,07:55:43 | INFO | Train Epoch: 7 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.33691 (0.34175) Boundary_loss: 0.012944 (0.012954) Loss: 0.34985 (0.35471) +2025-08-23,07:56:41 | INFO | Train Epoch: 7 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.27837 (0.34153) Boundary_loss: 0.012898 (0.012954) Loss: 0.29126 (0.35448) +2025-08-23,07:57:40 | INFO | Train Epoch: 7 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.33564 (0.34151) Boundary_loss: 0.012967 (0.012954) Loss: 0.34860 (0.35446) +2025-08-23,07:58:39 | INFO | Train Epoch: 7 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.32864 (0.34146) Boundary_loss: 0.013078 (0.012955) Loss: 0.34172 (0.35441) +2025-08-23,07:59:38 | INFO | Train Epoch: 7 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.35093 (0.34149) Boundary_loss: 0.012813 (0.012954) Loss: 0.36374 (0.35445) +2025-08-23,08:00:37 | INFO | Train Epoch: 7 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.27484 (0.34126) Boundary_loss: 0.012903 (0.012954) Loss: 0.28775 (0.35421) +2025-08-23,08:01:35 | INFO | Train Epoch: 7 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.37137 (0.34136) Boundary_loss: 0.012997 (0.012954) Loss: 0.38436 (0.35432) +2025-08-23,08:02:34 | INFO | Train Epoch: 7 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.32314 (0.34130) Boundary_loss: 0.012914 (0.012954) Loss: 0.33606 (0.35425) +2025-08-23,08:03:33 | INFO | Train Epoch: 7 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 0.33291 (0.34127) Boundary_loss: 0.012919 (0.012954) Loss: 0.34582 (0.35422) +2025-08-23,08:04:32 | INFO | Train Epoch: 7 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.35180 (0.34131) Boundary_loss: 0.012971 (0.012954) Loss: 0.36477 (0.35426) +2025-08-23,08:05:31 | INFO | Train Epoch: 7 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.35729 (0.34136) Boundary_loss: 0.012905 (0.012954) Loss: 0.37020 (0.35432) +2025-08-23,08:06:30 | INFO | Train Epoch: 7 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.34638 (0.34138) Boundary_loss: 0.012848 (0.012953) Loss: 0.35923 (0.35433) +2025-08-23,08:07:28 | INFO | Train Epoch: 7 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.35816 (0.34144) Boundary_loss: 0.012969 (0.012953) Loss: 0.37113 (0.35439) +2025-08-23,08:08:27 | INFO | Train Epoch: 7 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.36228 (0.34151) Boundary_loss: 0.012909 (0.012953) Loss: 0.37519 (0.35446) +2025-08-23,08:09:26 | INFO | Train Epoch: 7 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.38531 (0.34166) Boundary_loss: 0.012965 (0.012953) Loss: 0.39827 (0.35461) +2025-08-23,08:10:25 | INFO | Train Epoch: 7 [14950912/26365952 (57%)] Avg Boundaries (per batch): 18.896 Boundary Ratio: 0.096 Contrastive_loss: 0.40171 (0.34187) Boundary_loss: 0.012976 (0.012953) Loss: 0.41468 (0.35482) +2025-08-23,08:11:24 | INFO | Train Epoch: 7 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.44647 (0.34222) Boundary_loss: 0.012931 (0.012953) Loss: 0.45940 (0.35517) +2025-08-23,08:12:22 | INFO | Train Epoch: 7 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.34520 (0.34223) Boundary_loss: 0.012985 (0.012953) Loss: 0.35818 (0.35518) +2025-08-23,08:13:21 | INFO | Train Epoch: 7 [15104512/26365952 (57%)] Avg Boundaries (per batch): 18.980 Boundary Ratio: 0.097 Contrastive_loss: 0.38669 (0.34238) Boundary_loss: 0.012915 (0.012953) Loss: 0.39960 (0.35533) +2025-08-23,08:14:20 | INFO | Train Epoch: 7 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.36301 (0.34245) Boundary_loss: 0.012874 (0.012953) Loss: 0.37588 (0.35540) +2025-08-23,08:15:19 | INFO | Train Epoch: 7 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.33874 (0.34244) Boundary_loss: 0.012940 (0.012953) Loss: 0.35168 (0.35539) +2025-08-23,08:16:17 | INFO | Train Epoch: 7 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.41667 (0.34269) Boundary_loss: 0.012966 (0.012953) Loss: 0.42964 (0.35564) +2025-08-23,08:17:16 | INFO | Train Epoch: 7 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.38313 (0.34282) Boundary_loss: 0.012941 (0.012953) Loss: 0.39607 (0.35577) +2025-08-23,08:18:15 | INFO | Train Epoch: 7 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.35917 (0.34288) Boundary_loss: 0.012948 (0.012953) Loss: 0.37212 (0.35583) +2025-08-23,08:19:14 | INFO | Train Epoch: 7 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.30828 (0.34276) Boundary_loss: 0.012978 (0.012953) Loss: 0.32126 (0.35571) +2025-08-23,08:20:13 | INFO | Train Epoch: 7 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 0.34323 (0.34276) Boundary_loss: 0.012891 (0.012953) Loss: 0.35612 (0.35572) +2025-08-23,08:21:11 | INFO | Train Epoch: 7 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.31096 (0.34266) Boundary_loss: 0.012900 (0.012953) Loss: 0.32386 (0.35561) +2025-08-23,08:22:10 | INFO | Train Epoch: 7 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.28251 (0.34246) Boundary_loss: 0.012879 (0.012952) Loss: 0.29539 (0.35541) +2025-08-23,08:23:09 | INFO | Train Epoch: 7 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.42425 (0.34273) Boundary_loss: 0.012928 (0.012952) Loss: 0.43718 (0.35568) +2025-08-23,08:24:08 | INFO | Train Epoch: 7 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.30483 (0.34260) Boundary_loss: 0.012964 (0.012952) Loss: 0.31779 (0.35556) +2025-08-23,08:25:07 | INFO | Train Epoch: 7 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.30415 (0.34248) Boundary_loss: 0.012919 (0.012952) Loss: 0.31707 (0.35543) +2025-08-23,08:26:05 | INFO | Train Epoch: 7 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.37836 (0.34260) Boundary_loss: 0.012882 (0.012952) Loss: 0.39124 (0.35555) +2025-08-23,08:27:04 | INFO | Train Epoch: 7 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.38180 (0.34272) Boundary_loss: 0.012835 (0.012952) Loss: 0.39464 (0.35567) +2025-08-23,08:28:03 | INFO | Train Epoch: 7 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.36470 (0.34279) Boundary_loss: 0.012921 (0.012952) Loss: 0.37762 (0.35574) +2025-08-23,08:29:02 | INFO | Train Epoch: 7 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.35685 (0.34284) Boundary_loss: 0.012917 (0.012951) Loss: 0.36976 (0.35579) +2025-08-23,08:30:00 | INFO | Train Epoch: 7 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.39887 (0.34302) Boundary_loss: 0.012861 (0.012951) Loss: 0.41173 (0.35597) +2025-08-23,08:30:59 | INFO | Train Epoch: 7 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.27849 (0.34281) Boundary_loss: 0.012942 (0.012951) Loss: 0.29144 (0.35576) +2025-08-23,08:31:58 | INFO | Train Epoch: 7 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.33973 (0.34280) Boundary_loss: 0.012960 (0.012951) Loss: 0.35269 (0.35575) +2025-08-23,08:32:57 | INFO | Train Epoch: 7 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.34899 (0.34282) Boundary_loss: 0.013014 (0.012951) Loss: 0.36201 (0.35577) +2025-08-23,08:33:56 | INFO | Train Epoch: 7 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.33239 (0.34279) Boundary_loss: 0.012996 (0.012951) Loss: 0.34539 (0.35574) +2025-08-23,08:34:54 | INFO | Train Epoch: 7 [16230912/26365952 (62%)] Avg Boundaries (per batch): 18.914 Boundary Ratio: 0.097 Contrastive_loss: 0.29558 (0.34264) Boundary_loss: 0.012887 (0.012951) Loss: 0.30846 (0.35559) +2025-08-23,08:35:53 | INFO | Train Epoch: 7 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.37265 (0.34273) Boundary_loss: 0.012926 (0.012951) Loss: 0.38558 (0.35569) +2025-08-23,08:36:52 | INFO | Train Epoch: 7 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.41098 (0.34295) Boundary_loss: 0.012896 (0.012951) Loss: 0.42387 (0.35590) +2025-08-23,08:37:51 | INFO | Train Epoch: 7 [16384512/26365952 (62%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.27722 (0.34274) Boundary_loss: 0.012831 (0.012951) Loss: 0.29006 (0.35569) +2025-08-23,08:38:50 | INFO | Train Epoch: 7 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.35143 (0.34277) Boundary_loss: 0.012870 (0.012950) Loss: 0.36430 (0.35572) +2025-08-23,08:39:48 | INFO | Train Epoch: 7 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.582 Boundary Ratio: 0.100 Contrastive_loss: 0.33247 (0.34274) Boundary_loss: 0.012878 (0.012950) Loss: 0.34534 (0.35569) +2025-08-23,08:40:47 | INFO | Train Epoch: 7 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.31294 (0.34265) Boundary_loss: 0.013014 (0.012950) Loss: 0.32596 (0.35560) +2025-08-23,08:41:46 | INFO | Train Epoch: 7 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.28977 (0.34248) Boundary_loss: 0.012984 (0.012950) Loss: 0.30275 (0.35543) +2025-08-23,08:42:45 | INFO | Train Epoch: 7 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.35636 (0.34253) Boundary_loss: 0.012924 (0.012950) Loss: 0.36928 (0.35548) +2025-08-23,08:43:43 | INFO | Train Epoch: 7 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.34385 (0.34253) Boundary_loss: 0.013022 (0.012951) Loss: 0.35687 (0.35548) +2025-08-23,08:44:42 | INFO | Train Epoch: 7 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.28800 (0.34236) Boundary_loss: 0.012988 (0.012951) Loss: 0.30099 (0.35531) +2025-08-23,08:45:41 | INFO | Train Epoch: 7 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.33805 (0.34235) Boundary_loss: 0.012919 (0.012951) Loss: 0.35097 (0.35530) +2025-08-23,08:46:40 | INFO | Train Epoch: 7 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.36790 (0.34243) Boundary_loss: 0.012987 (0.012951) Loss: 0.38089 (0.35538) +2025-08-23,08:47:38 | INFO | Train Epoch: 7 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.28598 (0.34226) Boundary_loss: 0.012865 (0.012950) Loss: 0.29884 (0.35521) +2025-08-23,08:48:37 | INFO | Train Epoch: 7 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.27589 (0.34206) Boundary_loss: 0.013008 (0.012951) Loss: 0.28889 (0.35501) +2025-08-23,08:49:36 | INFO | Train Epoch: 7 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.35754 (0.34210) Boundary_loss: 0.012898 (0.012950) Loss: 0.37043 (0.35505) +2025-08-23,08:50:34 | INFO | Train Epoch: 7 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.34423 (0.34211) Boundary_loss: 0.012861 (0.012950) Loss: 0.35710 (0.35506) +2025-08-23,08:51:33 | INFO | Train Epoch: 7 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.43223 (0.34238) Boundary_loss: 0.012938 (0.012950) Loss: 0.44517 (0.35533) +2025-08-23,08:52:32 | INFO | Train Epoch: 7 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.32901 (0.34234) Boundary_loss: 0.012863 (0.012950) Loss: 0.34187 (0.35529) +2025-08-23,08:53:31 | INFO | Train Epoch: 7 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.36263 (0.34240) Boundary_loss: 0.012916 (0.012950) Loss: 0.37554 (0.35535) +2025-08-23,08:54:29 | INFO | Train Epoch: 7 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.33799 (0.34239) Boundary_loss: 0.012947 (0.012950) Loss: 0.35093 (0.35534) +2025-08-23,08:55:28 | INFO | Train Epoch: 7 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.35772 (0.34243) Boundary_loss: 0.012924 (0.012950) Loss: 0.37064 (0.35538) +2025-08-23,08:56:27 | INFO | Train Epoch: 7 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.32499 (0.34238) Boundary_loss: 0.013019 (0.012950) Loss: 0.33801 (0.35533) +2025-08-23,08:57:25 | INFO | Train Epoch: 7 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.29429 (0.34224) Boundary_loss: 0.012800 (0.012949) Loss: 0.30709 (0.35519) +2025-08-23,08:58:24 | INFO | Train Epoch: 7 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.37319 (0.34233) Boundary_loss: 0.012970 (0.012950) Loss: 0.38616 (0.35528) +2025-08-23,08:59:23 | INFO | Train Epoch: 7 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.47381 (0.34271) Boundary_loss: 0.012904 (0.012949) Loss: 0.48671 (0.35566) +2025-08-23,09:00:22 | INFO | Train Epoch: 7 [17562112/26365952 (67%)] Avg Boundaries (per batch): 18.902 Boundary Ratio: 0.096 Contrastive_loss: 0.42418 (0.34295) Boundary_loss: 0.012875 (0.012949) Loss: 0.43705 (0.35590) +2025-08-23,09:01:20 | INFO | Train Epoch: 7 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.27817 (0.34276) Boundary_loss: 0.012944 (0.012949) Loss: 0.29112 (0.35571) +2025-08-23,09:02:19 | INFO | Train Epoch: 7 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.33201 (0.34273) Boundary_loss: 0.012905 (0.012949) Loss: 0.34492 (0.35568) +2025-08-23,09:03:18 | INFO | Train Epoch: 7 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.34705 (0.34274) Boundary_loss: 0.012912 (0.012949) Loss: 0.35997 (0.35569) +2025-08-23,09:04:17 | INFO | Train Epoch: 7 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.38136 (0.34285) Boundary_loss: 0.013029 (0.012949) Loss: 0.39438 (0.35580) +2025-08-23,09:05:15 | INFO | Train Epoch: 7 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.33098 (0.34282) Boundary_loss: 0.012903 (0.012949) Loss: 0.34388 (0.35577) +2025-08-23,09:06:14 | INFO | Train Epoch: 7 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.46050 (0.34316) Boundary_loss: 0.012926 (0.012949) Loss: 0.47342 (0.35611) +2025-08-23,09:07:13 | INFO | Train Epoch: 7 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.28004 (0.34298) Boundary_loss: 0.012909 (0.012949) Loss: 0.29295 (0.35593) +2025-08-23,09:08:12 | INFO | Train Epoch: 7 [17971712/26365952 (68%)] Avg Boundaries (per batch): 18.816 Boundary Ratio: 0.096 Contrastive_loss: 0.37288 (0.34306) Boundary_loss: 0.013006 (0.012949) Loss: 0.38589 (0.35601) +2025-08-23,09:09:10 | INFO | Train Epoch: 7 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.33750 (0.34305) Boundary_loss: 0.012950 (0.012949) Loss: 0.35046 (0.35600) +2025-08-23,09:10:09 | INFO | Train Epoch: 7 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.37846 (0.34315) Boundary_loss: 0.012912 (0.012949) Loss: 0.39137 (0.35610) +2025-08-23,09:11:08 | INFO | Train Epoch: 7 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.37651 (0.34324) Boundary_loss: 0.013006 (0.012949) Loss: 0.38951 (0.35619) +2025-08-23,09:12:07 | INFO | Train Epoch: 7 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.31487 (0.34316) Boundary_loss: 0.012921 (0.012949) Loss: 0.32779 (0.35611) +2025-08-23,09:13:05 | INFO | Train Epoch: 7 [18227712/26365952 (69%)] Avg Boundaries (per batch): 18.986 Boundary Ratio: 0.097 Contrastive_loss: 0.36312 (0.34322) Boundary_loss: 0.012876 (0.012949) Loss: 0.37600 (0.35617) +2025-08-23,09:14:04 | INFO | Train Epoch: 7 [18278912/26365952 (69%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.38663 (0.34334) Boundary_loss: 0.013027 (0.012949) Loss: 0.39966 (0.35629) +2025-08-23,09:15:03 | INFO | Train Epoch: 7 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.36626 (0.34340) Boundary_loss: 0.012887 (0.012949) Loss: 0.37915 (0.35635) +2025-08-23,09:16:02 | INFO | Train Epoch: 7 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.28280 (0.34323) Boundary_loss: 0.012978 (0.012949) Loss: 0.29578 (0.35618) +2025-08-23,09:17:00 | INFO | Train Epoch: 7 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.38030 (0.34334) Boundary_loss: 0.012951 (0.012949) Loss: 0.39325 (0.35628) +2025-08-23,09:17:59 | INFO | Train Epoch: 7 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.36858 (0.34341) Boundary_loss: 0.012963 (0.012949) Loss: 0.38154 (0.35635) +2025-08-23,09:18:58 | INFO | Train Epoch: 7 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.35354 (0.34343) Boundary_loss: 0.012998 (0.012949) Loss: 0.36654 (0.35638) +2025-08-23,09:19:57 | INFO | Train Epoch: 7 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.35017 (0.34345) Boundary_loss: 0.012899 (0.012949) Loss: 0.36307 (0.35640) +2025-08-23,09:20:55 | INFO | Train Epoch: 7 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.660 Boundary Ratio: 0.100 Contrastive_loss: 0.24561 (0.34318) Boundary_loss: 0.012913 (0.012949) Loss: 0.25852 (0.35613) +2025-08-23,09:21:54 | INFO | Train Epoch: 7 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.39905 (0.34334) Boundary_loss: 0.012958 (0.012949) Loss: 0.41201 (0.35629) +2025-08-23,09:22:53 | INFO | Train Epoch: 7 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.658 Boundary Ratio: 0.100 Contrastive_loss: 0.32777 (0.34329) Boundary_loss: 0.013046 (0.012949) Loss: 0.34081 (0.35624) +2025-08-23,09:23:52 | INFO | Train Epoch: 7 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.35069 (0.34331) Boundary_loss: 0.012946 (0.012949) Loss: 0.36364 (0.35626) +2025-08-23,09:24:50 | INFO | Train Epoch: 7 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.39181 (0.34345) Boundary_loss: 0.013008 (0.012949) Loss: 0.40482 (0.35640) +2025-08-23,09:25:49 | INFO | Train Epoch: 7 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.29785 (0.34332) Boundary_loss: 0.012866 (0.012949) Loss: 0.31072 (0.35627) +2025-08-23,09:26:48 | INFO | Train Epoch: 7 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.37452 (0.34341) Boundary_loss: 0.012919 (0.012949) Loss: 0.38744 (0.35636) +2025-08-23,09:27:46 | INFO | Train Epoch: 7 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.33574 (0.34339) Boundary_loss: 0.012951 (0.012949) Loss: 0.34869 (0.35634) +2025-08-23,09:28:45 | INFO | Train Epoch: 7 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.32459 (0.34334) Boundary_loss: 0.012980 (0.012949) Loss: 0.33757 (0.35628) +2025-08-23,09:29:44 | INFO | Train Epoch: 7 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.35180 (0.34336) Boundary_loss: 0.012970 (0.012949) Loss: 0.36477 (0.35631) +2025-08-23,09:30:43 | INFO | Train Epoch: 7 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.34956 (0.34337) Boundary_loss: 0.012877 (0.012949) Loss: 0.36244 (0.35632) +2025-08-23,09:31:41 | INFO | Train Epoch: 7 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.35349 (0.34340) Boundary_loss: 0.012922 (0.012949) Loss: 0.36642 (0.35635) +2025-08-23,09:32:40 | INFO | Train Epoch: 7 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.31993 (0.34334) Boundary_loss: 0.012925 (0.012949) Loss: 0.33285 (0.35629) +2025-08-23,09:33:39 | INFO | Train Epoch: 7 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.26942 (0.34314) Boundary_loss: 0.013128 (0.012949) Loss: 0.28255 (0.35609) +2025-08-23,09:34:38 | INFO | Train Epoch: 7 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.707 Boundary Ratio: 0.101 Contrastive_loss: 0.32688 (0.34310) Boundary_loss: 0.013011 (0.012949) Loss: 0.33989 (0.35605) +2025-08-23,09:35:36 | INFO | Train Epoch: 7 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.37733 (0.34319) Boundary_loss: 0.012921 (0.012949) Loss: 0.39025 (0.35614) +2025-08-23,09:36:35 | INFO | Train Epoch: 7 [19456512/26365952 (74%)] Avg Boundaries (per batch): 18.957 Boundary Ratio: 0.097 Contrastive_loss: 0.37269 (0.34327) Boundary_loss: 0.012946 (0.012949) Loss: 0.38564 (0.35622) +2025-08-23,09:37:34 | INFO | Train Epoch: 7 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.40060 (0.34342) Boundary_loss: 0.012963 (0.012949) Loss: 0.41356 (0.35637) +2025-08-23,09:38:33 | INFO | Train Epoch: 7 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.43896 (0.34367) Boundary_loss: 0.013075 (0.012950) Loss: 0.45204 (0.35662) +2025-08-23,09:39:31 | INFO | Train Epoch: 7 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.37501 (0.34375) Boundary_loss: 0.013015 (0.012950) Loss: 0.38802 (0.35670) +2025-08-23,09:40:30 | INFO | Train Epoch: 7 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.35789 (0.34379) Boundary_loss: 0.012934 (0.012950) Loss: 0.37083 (0.35674) +2025-08-23,09:41:29 | INFO | Train Epoch: 7 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.35625 (0.34382) Boundary_loss: 0.012836 (0.012950) Loss: 0.36908 (0.35677) +2025-08-23,09:42:27 | INFO | Train Epoch: 7 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.39320 (0.34395) Boundary_loss: 0.012922 (0.012950) Loss: 0.40612 (0.35690) +2025-08-23,09:43:26 | INFO | Train Epoch: 7 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.35777 (0.34398) Boundary_loss: 0.012923 (0.012949) Loss: 0.37070 (0.35693) +2025-08-23,09:44:25 | INFO | Train Epoch: 7 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.30430 (0.34388) Boundary_loss: 0.012844 (0.012949) Loss: 0.31715 (0.35683) +2025-08-23,09:45:24 | INFO | Train Epoch: 7 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.36798 (0.34394) Boundary_loss: 0.012944 (0.012949) Loss: 0.38093 (0.35689) +2025-08-23,09:46:22 | INFO | Train Epoch: 7 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.34194 (0.34394) Boundary_loss: 0.012938 (0.012949) Loss: 0.35487 (0.35689) +2025-08-23,09:47:21 | INFO | Train Epoch: 7 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.29388 (0.34381) Boundary_loss: 0.012765 (0.012949) Loss: 0.30664 (0.35676) +2025-08-23,09:48:20 | INFO | Train Epoch: 7 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.29681 (0.34369) Boundary_loss: 0.012942 (0.012949) Loss: 0.30975 (0.35664) +2025-08-23,09:49:19 | INFO | Train Epoch: 7 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.34707 (0.34370) Boundary_loss: 0.012973 (0.012949) Loss: 0.36004 (0.35665) +2025-08-23,09:50:17 | INFO | Train Epoch: 7 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.30847 (0.34361) Boundary_loss: 0.012893 (0.012949) Loss: 0.32136 (0.35656) +2025-08-23,09:51:16 | INFO | Train Epoch: 7 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.42969 (0.34383) Boundary_loss: 0.013042 (0.012949) Loss: 0.44273 (0.35677) +2025-08-23,09:52:15 | INFO | Train Epoch: 7 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.29268 (0.34370) Boundary_loss: 0.012927 (0.012949) Loss: 0.30561 (0.35665) +2025-08-23,09:53:13 | INFO | Train Epoch: 7 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.629 Boundary Ratio: 0.100 Contrastive_loss: 0.37309 (0.34377) Boundary_loss: 0.013051 (0.012949) Loss: 0.38614 (0.35672) +2025-08-23,09:54:12 | INFO | Train Epoch: 7 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.28568 (0.34363) Boundary_loss: 0.012934 (0.012949) Loss: 0.29862 (0.35657) +2025-08-23,09:55:11 | INFO | Train Epoch: 7 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.28526 (0.34348) Boundary_loss: 0.012922 (0.012949) Loss: 0.29819 (0.35643) +2025-08-23,09:56:09 | INFO | Train Epoch: 7 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.26981 (0.34330) Boundary_loss: 0.012941 (0.012949) Loss: 0.28275 (0.35624) +2025-08-23,09:57:08 | INFO | Train Epoch: 7 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.31316 (0.34322) Boundary_loss: 0.012912 (0.012949) Loss: 0.32607 (0.35617) +2025-08-23,09:58:07 | INFO | Train Epoch: 7 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.32757 (0.34318) Boundary_loss: 0.013037 (0.012949) Loss: 0.34060 (0.35613) +2025-08-23,09:59:06 | INFO | Train Epoch: 7 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.39676 (0.34331) Boundary_loss: 0.012990 (0.012949) Loss: 0.40975 (0.35626) +2025-08-23,10:00:05 | INFO | Train Epoch: 7 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.34893 (0.34333) Boundary_loss: 0.012952 (0.012949) Loss: 0.36188 (0.35628) +2025-08-23,10:01:03 | INFO | Train Epoch: 7 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.625 Boundary Ratio: 0.100 Contrastive_loss: 0.31477 (0.34326) Boundary_loss: 0.012963 (0.012949) Loss: 0.32774 (0.35621) +2025-08-23,10:02:02 | INFO | Train Epoch: 7 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.35802 (0.34329) Boundary_loss: 0.012936 (0.012949) Loss: 0.37096 (0.35624) +2025-08-23,10:03:01 | INFO | Train Epoch: 7 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.28612 (0.34315) Boundary_loss: 0.012951 (0.012949) Loss: 0.29907 (0.35610) +2025-08-23,10:04:00 | INFO | Train Epoch: 7 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.39779 (0.34329) Boundary_loss: 0.012989 (0.012949) Loss: 0.41078 (0.35624) +2025-08-23,10:04:58 | INFO | Train Epoch: 7 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.39207 (0.34341) Boundary_loss: 0.012936 (0.012949) Loss: 0.40500 (0.35636) +2025-08-23,10:05:57 | INFO | Train Epoch: 7 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.38099 (0.34350) Boundary_loss: 0.012988 (0.012949) Loss: 0.39397 (0.35645) +2025-08-23,10:06:56 | INFO | Train Epoch: 7 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.27693 (0.34334) Boundary_loss: 0.012927 (0.012949) Loss: 0.28986 (0.35629) +2025-08-23,10:07:55 | INFO | Train Epoch: 7 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.31318 (0.34326) Boundary_loss: 0.012907 (0.012949) Loss: 0.32608 (0.35621) +2025-08-23,10:08:53 | INFO | Train Epoch: 7 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.31694 (0.34320) Boundary_loss: 0.012951 (0.012949) Loss: 0.32989 (0.35615) +2025-08-23,10:09:52 | INFO | Train Epoch: 7 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.35230 (0.34322) Boundary_loss: 0.012980 (0.012949) Loss: 0.36528 (0.35617) +2025-08-23,10:10:51 | INFO | Train Epoch: 7 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.39090 (0.34334) Boundary_loss: 0.012915 (0.012949) Loss: 0.40382 (0.35629) +2025-08-23,10:11:50 | INFO | Train Epoch: 7 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.31140 (0.34326) Boundary_loss: 0.012858 (0.012949) Loss: 0.32426 (0.35621) +2025-08-23,10:12:48 | INFO | Train Epoch: 7 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.36712 (0.34332) Boundary_loss: 0.013112 (0.012949) Loss: 0.38023 (0.35627) +2025-08-23,10:13:47 | INFO | Train Epoch: 7 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.29859 (0.34321) Boundary_loss: 0.012818 (0.012949) Loss: 0.31141 (0.35616) +2025-08-23,10:14:46 | INFO | Train Epoch: 7 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.37366 (0.34328) Boundary_loss: 0.012883 (0.012949) Loss: 0.38655 (0.35623) +2025-08-23,10:15:45 | INFO | Train Epoch: 7 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.31508 (0.34322) Boundary_loss: 0.012938 (0.012949) Loss: 0.32802 (0.35616) +2025-08-23,10:16:44 | INFO | Train Epoch: 7 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.34806 (0.34323) Boundary_loss: 0.012879 (0.012949) Loss: 0.36094 (0.35618) +2025-08-23,10:17:42 | INFO | Train Epoch: 7 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.46240 (0.34351) Boundary_loss: 0.012885 (0.012948) Loss: 0.47529 (0.35646) +2025-08-23,10:18:41 | INFO | Train Epoch: 7 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.34699 (0.34352) Boundary_loss: 0.012896 (0.012948) Loss: 0.35989 (0.35647) +2025-08-23,10:19:40 | INFO | Train Epoch: 7 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.25856 (0.34332) Boundary_loss: 0.012985 (0.012948) Loss: 0.27155 (0.35627) +2025-08-23,10:20:39 | INFO | Train Epoch: 7 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.34569 (0.34332) Boundary_loss: 0.013064 (0.012949) Loss: 0.35875 (0.35627) +2025-08-23,10:21:37 | INFO | Train Epoch: 7 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.30116 (0.34322) Boundary_loss: 0.012949 (0.012949) Loss: 0.31411 (0.35617) +2025-08-23,10:22:36 | INFO | Train Epoch: 7 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.37840 (0.34331) Boundary_loss: 0.012866 (0.012949) Loss: 0.39127 (0.35626) +2025-08-23,10:23:35 | INFO | Train Epoch: 7 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.35499 (0.34333) Boundary_loss: 0.012853 (0.012948) Loss: 0.36784 (0.35628) +2025-08-23,10:24:34 | INFO | Train Epoch: 7 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.32930 (0.34330) Boundary_loss: 0.012849 (0.012948) Loss: 0.34215 (0.35625) +2025-08-23,10:25:33 | INFO | Train Epoch: 7 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.34623 (0.34331) Boundary_loss: 0.012882 (0.012948) Loss: 0.35911 (0.35626) +2025-08-23,10:26:31 | INFO | Train Epoch: 7 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.33514 (0.34329) Boundary_loss: 0.012878 (0.012948) Loss: 0.34802 (0.35624) +2025-08-23,10:27:30 | INFO | Train Epoch: 7 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.38811 (0.34339) Boundary_loss: 0.012862 (0.012948) Loss: 0.40097 (0.35634) +2025-08-23,10:28:29 | INFO | Train Epoch: 7 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.30120 (0.34330) Boundary_loss: 0.012999 (0.012948) Loss: 0.31420 (0.35624) +2025-08-23,10:29:28 | INFO | Train Epoch: 7 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.32056 (0.34324) Boundary_loss: 0.012957 (0.012948) Loss: 0.33352 (0.35619) +2025-08-23,10:30:27 | INFO | Train Epoch: 7 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.34250 (0.34324) Boundary_loss: 0.012913 (0.012948) Loss: 0.35542 (0.35619) +2025-08-23,10:31:26 | INFO | Train Epoch: 7 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.35110 (0.34326) Boundary_loss: 0.012876 (0.012947) Loss: 0.36398 (0.35621) +2025-08-23,10:32:25 | INFO | Train Epoch: 7 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.29851 (0.34316) Boundary_loss: 0.012918 (0.012947) Loss: 0.31143 (0.35610) +2025-08-23,10:33:23 | INFO | Train Epoch: 7 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.39484 (0.34327) Boundary_loss: 0.012984 (0.012947) Loss: 0.40782 (0.35622) +2025-08-23,10:34:22 | INFO | Train Epoch: 7 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.30494 (0.34319) Boundary_loss: 0.012918 (0.012947) Loss: 0.31786 (0.35614) +2025-08-23,10:35:21 | INFO | Train Epoch: 7 [22528512/26365952 (85%)] Avg Boundaries (per batch): 18.963 Boundary Ratio: 0.097 Contrastive_loss: 0.35022 (0.34320) Boundary_loss: 0.012830 (0.012947) Loss: 0.36305 (0.35615) +2025-08-23,10:36:20 | INFO | Train Epoch: 7 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.36148 (0.34325) Boundary_loss: 0.012968 (0.012947) Loss: 0.37445 (0.35619) +2025-08-23,10:37:19 | INFO | Train Epoch: 7 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.29600 (0.34314) Boundary_loss: 0.012832 (0.012947) Loss: 0.30883 (0.35609) +2025-08-23,10:38:17 | INFO | Train Epoch: 7 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.35674 (0.34317) Boundary_loss: 0.012900 (0.012947) Loss: 0.36964 (0.35612) +2025-08-23,10:39:16 | INFO | Train Epoch: 7 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.29020 (0.34305) Boundary_loss: 0.012900 (0.012947) Loss: 0.30310 (0.35600) +2025-08-23,10:40:15 | INFO | Train Epoch: 7 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.37499 (0.34312) Boundary_loss: 0.012989 (0.012947) Loss: 0.38797 (0.35607) +2025-08-23,10:41:14 | INFO | Train Epoch: 7 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.37738 (0.34320) Boundary_loss: 0.012971 (0.012947) Loss: 0.39035 (0.35615) +2025-08-23,10:42:13 | INFO | Train Epoch: 7 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.33234 (0.34317) Boundary_loss: 0.012956 (0.012947) Loss: 0.34530 (0.35612) +2025-08-23,10:43:11 | INFO | Train Epoch: 7 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.30083 (0.34308) Boundary_loss: 0.012859 (0.012947) Loss: 0.31369 (0.35603) +2025-08-23,10:44:10 | INFO | Train Epoch: 7 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.38001 (0.34316) Boundary_loss: 0.012876 (0.012947) Loss: 0.39289 (0.35611) +2025-08-23,10:45:09 | INFO | Train Epoch: 7 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.37299 (0.34323) Boundary_loss: 0.012897 (0.012946) Loss: 0.38589 (0.35617) +2025-08-23,10:46:08 | INFO | Train Epoch: 7 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.33148 (0.34320) Boundary_loss: 0.012936 (0.012946) Loss: 0.34442 (0.35615) +2025-08-23,10:47:07 | INFO | Train Epoch: 7 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.37150 (0.34326) Boundary_loss: 0.012947 (0.012946) Loss: 0.38445 (0.35621) +2025-08-23,10:48:05 | INFO | Train Epoch: 7 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.33582 (0.34325) Boundary_loss: 0.012838 (0.012946) Loss: 0.34866 (0.35619) +2025-08-23,10:49:04 | INFO | Train Epoch: 7 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.31173 (0.34318) Boundary_loss: 0.012949 (0.012946) Loss: 0.32468 (0.35612) +2025-08-23,10:50:03 | INFO | Train Epoch: 7 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.670 Boundary Ratio: 0.100 Contrastive_loss: 0.34274 (0.34318) Boundary_loss: 0.012903 (0.012946) Loss: 0.35564 (0.35612) +2025-08-23,10:51:02 | INFO | Train Epoch: 7 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.35616 (0.34321) Boundary_loss: 0.012920 (0.012946) Loss: 0.36908 (0.35615) +2025-08-23,10:52:01 | INFO | Train Epoch: 7 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.36533 (0.34325) Boundary_loss: 0.013022 (0.012946) Loss: 0.37835 (0.35620) +2025-08-23,10:52:59 | INFO | Train Epoch: 7 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.33586 (0.34324) Boundary_loss: 0.012920 (0.012946) Loss: 0.34878 (0.35618) +2025-08-23,10:53:58 | INFO | Train Epoch: 7 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.41748 (0.34340) Boundary_loss: 0.012898 (0.012946) Loss: 0.43037 (0.35635) +2025-08-23,10:54:57 | INFO | Train Epoch: 7 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.32317 (0.34336) Boundary_loss: 0.012921 (0.012946) Loss: 0.33609 (0.35630) +2025-08-23,10:55:56 | INFO | Train Epoch: 7 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.27701 (0.34321) Boundary_loss: 0.012992 (0.012946) Loss: 0.29001 (0.35616) +2025-08-23,10:56:55 | INFO | Train Epoch: 7 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.33085 (0.34319) Boundary_loss: 0.012942 (0.012946) Loss: 0.34380 (0.35613) +2025-08-23,10:57:53 | INFO | Train Epoch: 7 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.35003 (0.34320) Boundary_loss: 0.012871 (0.012946) Loss: 0.36290 (0.35615) +2025-08-23,10:58:52 | INFO | Train Epoch: 7 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.36241 (0.34324) Boundary_loss: 0.012918 (0.012946) Loss: 0.37533 (0.35619) +2025-08-23,10:59:51 | INFO | Train Epoch: 7 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.25332 (0.34305) Boundary_loss: 0.012968 (0.012946) Loss: 0.26628 (0.35599) +2025-08-23,11:00:50 | INFO | Train Epoch: 7 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.30334 (0.34296) Boundary_loss: 0.012903 (0.012946) Loss: 0.31624 (0.35591) +2025-08-23,11:01:48 | INFO | Train Epoch: 7 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.31615 (0.34291) Boundary_loss: 0.012961 (0.012946) Loss: 0.32911 (0.35585) +2025-08-23,11:02:47 | INFO | Train Epoch: 7 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.30771 (0.34283) Boundary_loss: 0.013003 (0.012946) Loss: 0.32071 (0.35578) +2025-08-23,11:03:46 | INFO | Train Epoch: 7 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.24761 (0.34263) Boundary_loss: 0.012921 (0.012946) Loss: 0.26054 (0.35557) +2025-08-23,11:04:45 | INFO | Train Epoch: 7 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.32380 (0.34259) Boundary_loss: 0.012924 (0.012946) Loss: 0.33673 (0.35553) +2025-08-23,11:05:44 | INFO | Train Epoch: 7 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.30714 (0.34251) Boundary_loss: 0.012888 (0.012946) Loss: 0.32002 (0.35546) +2025-08-23,11:06:42 | INFO | Train Epoch: 7 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.30878 (0.34244) Boundary_loss: 0.012873 (0.012946) Loss: 0.32165 (0.35539) +2025-08-23,11:07:41 | INFO | Train Epoch: 7 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 0.38569 (0.34253) Boundary_loss: 0.013044 (0.012946) Loss: 0.39874 (0.35548) +2025-08-23,11:08:40 | INFO | Train Epoch: 7 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.33379 (0.34252) Boundary_loss: 0.012818 (0.012945) Loss: 0.34661 (0.35546) +2025-08-23,11:09:38 | INFO | Train Epoch: 7 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.35617 (0.34254) Boundary_loss: 0.012813 (0.012945) Loss: 0.36898 (0.35549) +2025-08-23,11:10:37 | INFO | Train Epoch: 7 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.32341 (0.34250) Boundary_loss: 0.012965 (0.012945) Loss: 0.33638 (0.35545) +2025-08-23,11:11:36 | INFO | Train Epoch: 7 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.604 Boundary Ratio: 0.100 Contrastive_loss: 0.31218 (0.34244) Boundary_loss: 0.012918 (0.012945) Loss: 0.32510 (0.35539) +2025-08-23,11:12:35 | INFO | Train Epoch: 7 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.34585 (0.34245) Boundary_loss: 0.012920 (0.012945) Loss: 0.35877 (0.35539) +2025-08-23,11:13:34 | INFO | Train Epoch: 7 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.36917 (0.34250) Boundary_loss: 0.013012 (0.012945) Loss: 0.38219 (0.35545) +2025-08-23,11:14:33 | INFO | Train Epoch: 7 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.34552 (0.34251) Boundary_loss: 0.012833 (0.012945) Loss: 0.35835 (0.35545) +2025-08-23,11:15:31 | INFO | Train Epoch: 7 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.39161 (0.34261) Boundary_loss: 0.012853 (0.012945) Loss: 0.40446 (0.35556) +2025-08-23,11:16:30 | INFO | Train Epoch: 7 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.34950 (0.34263) Boundary_loss: 0.012995 (0.012945) Loss: 0.36250 (0.35557) +2025-08-23,11:17:29 | INFO | Train Epoch: 7 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.32860 (0.34260) Boundary_loss: 0.012840 (0.012945) Loss: 0.34144 (0.35554) +2025-08-23,11:18:28 | INFO | Train Epoch: 7 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.32450 (0.34256) Boundary_loss: 0.012866 (0.012945) Loss: 0.33737 (0.35550) +2025-08-23,11:19:26 | INFO | Train Epoch: 7 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.34888 (0.34257) Boundary_loss: 0.012948 (0.012945) Loss: 0.36183 (0.35552) +2025-08-23,11:20:25 | INFO | Train Epoch: 7 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.28753 (0.34246) Boundary_loss: 0.013016 (0.012945) Loss: 0.30054 (0.35540) +2025-08-23,11:21:24 | INFO | Train Epoch: 7 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.37330 (0.34252) Boundary_loss: 0.012841 (0.012945) Loss: 0.38615 (0.35547) +2025-08-23,11:22:23 | INFO | Train Epoch: 7 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.35690 (0.34255) Boundary_loss: 0.012978 (0.012945) Loss: 0.36988 (0.35550) +2025-08-23,11:23:21 | INFO | Train Epoch: 7 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.28816 (0.34244) Boundary_loss: 0.012869 (0.012944) Loss: 0.30103 (0.35539) +2025-08-23,11:24:20 | INFO | Train Epoch: 7 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.33315 (0.34242) Boundary_loss: 0.012949 (0.012944) Loss: 0.34610 (0.35537) +2025-08-23,11:25:19 | INFO | Train Epoch: 7 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.32577 (0.34239) Boundary_loss: 0.012779 (0.012944) Loss: 0.33855 (0.35533) +2025-08-23,11:26:18 | INFO | Train Epoch: 7 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.34746 (0.34240) Boundary_loss: 0.013024 (0.012944) Loss: 0.36048 (0.35534) +2025-08-23,11:27:16 | INFO | Train Epoch: 7 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.30022 (0.34231) Boundary_loss: 0.013001 (0.012944) Loss: 0.31322 (0.35526) +2025-08-23,11:28:15 | INFO | Train Epoch: 7 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.36821 (0.34237) Boundary_loss: 0.012905 (0.012944) Loss: 0.38111 (0.35531) +2025-08-23,11:29:14 | INFO | Train Epoch: 7 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.28764 (0.34225) Boundary_loss: 0.012921 (0.012944) Loss: 0.30056 (0.35520) +2025-08-23,11:30:13 | INFO | Train Epoch: 7 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.34039 (0.34225) Boundary_loss: 0.012850 (0.012944) Loss: 0.35324 (0.35520) +2025-08-23,11:31:12 | INFO | Train Epoch: 7 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.40554 (0.34238) Boundary_loss: 0.012865 (0.012944) Loss: 0.41840 (0.35532) +2025-08-23,11:32:10 | INFO | Train Epoch: 7 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.32148 (0.34234) Boundary_loss: 0.012985 (0.012944) Loss: 0.33447 (0.35528) +2025-08-23,11:33:09 | INFO | Train Epoch: 7 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.28799 (0.34223) Boundary_loss: 0.012937 (0.012944) Loss: 0.30093 (0.35517) +2025-08-23,11:34:08 | INFO | Train Epoch: 7 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.36663 (0.34228) Boundary_loss: 0.012913 (0.012944) Loss: 0.37954 (0.35522) +2025-08-23,11:35:07 | INFO | Train Epoch: 7 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.646 Boundary Ratio: 0.100 Contrastive_loss: 0.28239 (0.34216) Boundary_loss: 0.012981 (0.012944) Loss: 0.29537 (0.35510) +2025-08-23,11:36:06 | INFO | Train Epoch: 7 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.28868 (0.34205) Boundary_loss: 0.012912 (0.012944) Loss: 0.30159 (0.35499) +2025-08-23,11:37:04 | INFO | Train Epoch: 7 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.34373 (0.34205) Boundary_loss: 0.012922 (0.012944) Loss: 0.35665 (0.35500) +2025-08-23,11:38:03 | INFO | Train Epoch: 7 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.33131 (0.34203) Boundary_loss: 0.012892 (0.012944) Loss: 0.34420 (0.35498) +2025-08-23,11:39:02 | INFO | Train Epoch: 7 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.38412 (0.34212) Boundary_loss: 0.012930 (0.012944) Loss: 0.39705 (0.35506) +2025-08-23,11:40:01 | INFO | Train Epoch: 7 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.32988 (0.34209) Boundary_loss: 0.012917 (0.012944) Loss: 0.34280 (0.35504) +2025-08-23,11:41:00 | INFO | Train Epoch: 7 [25958912/26365952 (98%)] Avg Boundaries (per batch): 18.975 Boundary Ratio: 0.097 Contrastive_loss: 0.38214 (0.34217) Boundary_loss: 0.012885 (0.012944) Loss: 0.39503 (0.35511) +2025-08-23,11:41:58 | INFO | Train Epoch: 7 [26010112/26365952 (99%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.36011 (0.34221) Boundary_loss: 0.012932 (0.012944) Loss: 0.37305 (0.35515) +2025-08-23,11:42:57 | INFO | Train Epoch: 7 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.29290 (0.34211) Boundary_loss: 0.012959 (0.012944) Loss: 0.30585 (0.35505) +2025-08-23,11:43:56 | INFO | Train Epoch: 7 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.29294 (0.34201) Boundary_loss: 0.012941 (0.012944) Loss: 0.30588 (0.35496) +2025-08-23,11:44:55 | INFO | Train Epoch: 7 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.666 Boundary Ratio: 0.100 Contrastive_loss: 0.38592 (0.34210) Boundary_loss: 0.012967 (0.012944) Loss: 0.39889 (0.35504) +2025-08-23,11:45:54 | INFO | Train Epoch: 7 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.37460 (0.34216) Boundary_loss: 0.012922 (0.012944) Loss: 0.38752 (0.35511) +2025-08-23,11:46:52 | INFO | Train Epoch: 7 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.33284 (0.34214) Boundary_loss: 0.012868 (0.012943) Loss: 0.34571 (0.35509) +2025-08-23,11:47:51 | INFO | Train Epoch: 7 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.38421 (0.34223) Boundary_loss: 0.013024 (0.012944) Loss: 0.39724 (0.35517) +2025-08-23,11:48:47 | INFO | Train Epoch: 7 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.27144 (0.34209) Boundary_loss: 0.012905 (0.012944) Loss: 0.28435 (0.35503) +2025-08-23,11:48:47 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-23,11:48:47 | INFO | [Epoch 7] Average Step Time: 0.591s | Average GPU Memory: 33.5 GB +2025-08-23,11:48:47 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-23,11:48:47 | INFO | Starting zero-shot imagenet. +2025-08-23,11:48:47 | INFO | Building zero-shot classifier +2025-08-23,11:48:56 | INFO | Using classifier +2025-08-23,11:49:42 | INFO | Finished zero-shot imagenet. +2025-08-23,11:49:42 | INFO | Eval Epoch: 8 imagenet-zeroshot-val-top1: 0.2767 imagenet-zeroshot-val-top5: 0.5385 +2025-08-23,11:49:43 | INFO | Start epoch 8 +2025-08-23,11:49:46 | INFO | Train Epoch: 8 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.22071 (0.22071) Boundary_loss: 0.012910 (0.012910) Loss: 0.23362 (0.23362) +2025-08-23,11:50:45 | INFO | Train Epoch: 8 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.27933 (0.25002) Boundary_loss: 0.012850 (0.012880) Loss: 0.29218 (0.26290) +2025-08-23,11:51:43 | INFO | Train Epoch: 8 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.33784 (0.27930) Boundary_loss: 0.012922 (0.012894) Loss: 0.35077 (0.29219) +2025-08-23,11:52:42 | INFO | Train Epoch: 8 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.32820 (0.29152) Boundary_loss: 0.012820 (0.012876) Loss: 0.34102 (0.30440) +2025-08-23,11:53:41 | INFO | Train Epoch: 8 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.30648 (0.29451) Boundary_loss: 0.012960 (0.012893) Loss: 0.31944 (0.30741) +2025-08-23,11:54:40 | INFO | Train Epoch: 8 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.21742 (0.28166) Boundary_loss: 0.012891 (0.012892) Loss: 0.23031 (0.29456) +2025-08-23,11:55:38 | INFO | Train Epoch: 8 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.633 Boundary Ratio: 0.100 Contrastive_loss: 0.26930 (0.27990) Boundary_loss: 0.012880 (0.012890) Loss: 0.28218 (0.29279) +2025-08-23,11:56:37 | INFO | Train Epoch: 8 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.23001 (0.27366) Boundary_loss: 0.012880 (0.012889) Loss: 0.24289 (0.28655) +2025-08-23,11:57:36 | INFO | Train Epoch: 8 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.33077 (0.28001) Boundary_loss: 0.012941 (0.012895) Loss: 0.34371 (0.29290) +2025-08-23,11:58:35 | INFO | Train Epoch: 8 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.24704 (0.27671) Boundary_loss: 0.013003 (0.012906) Loss: 0.26005 (0.28962) +2025-08-23,11:59:33 | INFO | Train Epoch: 8 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.26871 (0.27598) Boundary_loss: 0.012965 (0.012911) Loss: 0.28167 (0.28890) +2025-08-23,12:00:32 | INFO | Train Epoch: 8 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.31514 (0.27925) Boundary_loss: 0.012924 (0.012912) Loss: 0.32807 (0.29216) +2025-08-23,12:01:31 | INFO | Train Epoch: 8 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.29115 (0.28016) Boundary_loss: 0.013016 (0.012920) Loss: 0.30417 (0.29308) +2025-08-23,12:02:30 | INFO | Train Epoch: 8 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.28697 (0.28065) Boundary_loss: 0.012835 (0.012914) Loss: 0.29980 (0.29356) +2025-08-23,12:03:29 | INFO | Train Epoch: 8 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.38967 (0.28792) Boundary_loss: 0.012859 (0.012910) Loss: 0.40253 (0.30083) +2025-08-23,12:04:28 | INFO | Train Epoch: 8 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.29887 (0.28860) Boundary_loss: 0.012907 (0.012910) Loss: 0.31178 (0.30151) +2025-08-23,12:05:26 | INFO | Train Epoch: 8 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.23257 (0.28531) Boundary_loss: 0.012976 (0.012914) Loss: 0.24554 (0.29822) +2025-08-23,12:06:25 | INFO | Train Epoch: 8 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.39454 (0.29137) Boundary_loss: 0.012958 (0.012916) Loss: 0.40750 (0.30429) +2025-08-23,12:07:24 | INFO | Train Epoch: 8 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 0.34169 (0.29402) Boundary_loss: 0.012888 (0.012915) Loss: 0.35457 (0.30694) +2025-08-23,12:08:23 | INFO | Train Epoch: 8 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.35474 (0.29706) Boundary_loss: 0.012860 (0.012912) Loss: 0.36760 (0.30997) +2025-08-23,12:09:22 | INFO | Train Epoch: 8 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.24654 (0.29465) Boundary_loss: 0.012848 (0.012909) Loss: 0.25939 (0.30756) +2025-08-23,12:10:20 | INFO | Train Epoch: 8 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.31973 (0.29579) Boundary_loss: 0.012916 (0.012909) Loss: 0.33265 (0.30870) +2025-08-23,12:11:19 | INFO | Train Epoch: 8 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.27121 (0.29472) Boundary_loss: 0.012929 (0.012910) Loss: 0.28414 (0.30763) +2025-08-23,12:12:18 | INFO | Train Epoch: 8 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.28655 (0.29438) Boundary_loss: 0.012922 (0.012911) Loss: 0.29947 (0.30729) +2025-08-23,12:13:17 | INFO | Train Epoch: 8 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.30667 (0.29487) Boundary_loss: 0.012860 (0.012909) Loss: 0.31953 (0.30778) +2025-08-23,12:14:15 | INFO | Train Epoch: 8 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.23316 (0.29250) Boundary_loss: 0.012922 (0.012909) Loss: 0.24608 (0.30541) +2025-08-23,12:15:14 | INFO | Train Epoch: 8 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.32495 (0.29370) Boundary_loss: 0.012875 (0.012908) Loss: 0.33783 (0.30661) +2025-08-23,12:16:13 | INFO | Train Epoch: 8 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.29325 (0.29369) Boundary_loss: 0.012957 (0.012910) Loss: 0.30621 (0.30660) +2025-08-23,12:17:12 | INFO | Train Epoch: 8 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.33147 (0.29499) Boundary_loss: 0.012899 (0.012909) Loss: 0.34437 (0.30790) +2025-08-23,12:18:11 | INFO | Train Epoch: 8 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.37258 (0.29758) Boundary_loss: 0.012992 (0.012912) Loss: 0.38557 (0.31049) +2025-08-23,12:19:10 | INFO | Train Epoch: 8 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.33317 (0.29872) Boundary_loss: 0.012926 (0.012913) Loss: 0.34609 (0.31164) +2025-08-23,12:20:08 | INFO | Train Epoch: 8 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.28597 (0.29833) Boundary_loss: 0.012859 (0.012911) Loss: 0.29883 (0.31124) +2025-08-23,12:21:07 | INFO | Train Epoch: 8 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.40220 (0.30147) Boundary_loss: 0.012919 (0.012911) Loss: 0.41512 (0.31438) +2025-08-23,12:22:06 | INFO | Train Epoch: 8 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.27053 (0.30056) Boundary_loss: 0.012828 (0.012909) Loss: 0.28336 (0.31347) +2025-08-23,12:23:05 | INFO | Train Epoch: 8 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.29352 (0.30036) Boundary_loss: 0.012951 (0.012910) Loss: 0.30647 (0.31327) +2025-08-23,12:24:04 | INFO | Train Epoch: 8 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.24372 (0.29879) Boundary_loss: 0.012875 (0.012909) Loss: 0.25660 (0.31170) +2025-08-23,12:25:02 | INFO | Train Epoch: 8 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.34454 (0.30003) Boundary_loss: 0.012867 (0.012908) Loss: 0.35741 (0.31293) +2025-08-23,12:26:01 | INFO | Train Epoch: 8 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.29193 (0.29981) Boundary_loss: 0.012866 (0.012907) Loss: 0.30479 (0.31272) +2025-08-23,12:27:00 | INFO | Train Epoch: 8 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.25066 (0.29855) Boundary_loss: 0.012911 (0.012907) Loss: 0.26357 (0.31146) +2025-08-23,12:27:59 | INFO | Train Epoch: 8 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.25806 (0.29754) Boundary_loss: 0.012977 (0.012909) Loss: 0.27103 (0.31045) +2025-08-23,12:28:58 | INFO | Train Epoch: 8 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.27048 (0.29688) Boundary_loss: 0.012886 (0.012908) Loss: 0.28336 (0.30979) +2025-08-23,12:29:56 | INFO | Train Epoch: 8 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.25509 (0.29588) Boundary_loss: 0.012960 (0.012909) Loss: 0.26805 (0.30879) +2025-08-23,12:30:55 | INFO | Train Epoch: 8 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 0.23312 (0.29442) Boundary_loss: 0.012770 (0.012906) Loss: 0.24589 (0.30733) +2025-08-23,12:31:54 | INFO | Train Epoch: 8 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.26725 (0.29381) Boundary_loss: 0.012899 (0.012906) Loss: 0.28015 (0.30671) +2025-08-23,12:32:53 | INFO | Train Epoch: 8 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.25045 (0.29284) Boundary_loss: 0.012930 (0.012906) Loss: 0.26338 (0.30575) +2025-08-23,12:33:52 | INFO | Train Epoch: 8 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.29744 (0.29294) Boundary_loss: 0.012915 (0.012907) Loss: 0.31035 (0.30585) +2025-08-23,12:34:50 | INFO | Train Epoch: 8 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.28154 (0.29270) Boundary_loss: 0.012770 (0.012904) Loss: 0.29431 (0.30560) +2025-08-23,12:35:49 | INFO | Train Epoch: 8 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.24275 (0.29166) Boundary_loss: 0.012996 (0.012906) Loss: 0.25575 (0.30457) +2025-08-23,12:36:48 | INFO | Train Epoch: 8 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.773 Boundary Ratio: 0.101 Contrastive_loss: 0.29634 (0.29176) Boundary_loss: 0.012953 (0.012907) Loss: 0.30929 (0.30466) +2025-08-23,12:37:47 | INFO | Train Epoch: 8 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.26165 (0.29115) Boundary_loss: 0.012849 (0.012905) Loss: 0.27450 (0.30406) +2025-08-23,12:38:46 | INFO | Train Epoch: 8 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.29675 (0.29126) Boundary_loss: 0.012932 (0.012906) Loss: 0.30968 (0.30417) +2025-08-23,12:39:44 | INFO | Train Epoch: 8 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 18.984 Boundary Ratio: 0.097 Contrastive_loss: 0.28501 (0.29114) Boundary_loss: 0.012975 (0.012907) Loss: 0.29798 (0.30405) +2025-08-23,12:40:43 | INFO | Train Epoch: 8 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.31903 (0.29167) Boundary_loss: 0.012967 (0.012908) Loss: 0.33200 (0.30458) +2025-08-23,12:41:42 | INFO | Train Epoch: 8 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.26633 (0.29120) Boundary_loss: 0.012868 (0.012908) Loss: 0.27920 (0.30411) +2025-08-23,12:42:41 | INFO | Train Epoch: 8 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.34311 (0.29214) Boundary_loss: 0.012924 (0.012908) Loss: 0.35603 (0.30505) +2025-08-23,12:43:40 | INFO | Train Epoch: 8 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.30930 (0.29245) Boundary_loss: 0.012881 (0.012907) Loss: 0.32218 (0.30536) +2025-08-23,12:44:38 | INFO | Train Epoch: 8 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.28730 (0.29236) Boundary_loss: 0.012974 (0.012909) Loss: 0.30028 (0.30527) +2025-08-23,12:45:37 | INFO | Train Epoch: 8 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.29456 (0.29240) Boundary_loss: 0.012919 (0.012909) Loss: 0.30748 (0.30531) +2025-08-23,12:46:36 | INFO | Train Epoch: 8 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.34656 (0.29332) Boundary_loss: 0.013039 (0.012911) Loss: 0.35960 (0.30623) +2025-08-23,12:47:35 | INFO | Train Epoch: 8 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.30718 (0.29355) Boundary_loss: 0.012874 (0.012910) Loss: 0.32005 (0.30646) +2025-08-23,12:48:34 | INFO | Train Epoch: 8 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.33593 (0.29424) Boundary_loss: 0.012859 (0.012910) Loss: 0.34878 (0.30715) +2025-08-23,12:49:33 | INFO | Train Epoch: 8 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.28777 (0.29414) Boundary_loss: 0.012928 (0.012910) Loss: 0.30069 (0.30705) +2025-08-23,12:50:31 | INFO | Train Epoch: 8 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.28045 (0.29392) Boundary_loss: 0.012883 (0.012909) Loss: 0.29333 (0.30683) +2025-08-23,12:51:30 | INFO | Train Epoch: 8 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.24981 (0.29323) Boundary_loss: 0.012901 (0.012909) Loss: 0.26271 (0.30614) +2025-08-23,12:52:29 | INFO | Train Epoch: 8 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.36737 (0.29437) Boundary_loss: 0.012971 (0.012910) Loss: 0.38034 (0.30728) +2025-08-23,12:53:28 | INFO | Train Epoch: 8 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.27365 (0.29406) Boundary_loss: 0.012941 (0.012911) Loss: 0.28660 (0.30697) +2025-08-23,12:54:27 | INFO | Train Epoch: 8 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.23319 (0.29315) Boundary_loss: 0.012885 (0.012910) Loss: 0.24608 (0.30606) +2025-08-23,12:55:25 | INFO | Train Epoch: 8 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.22465 (0.29214) Boundary_loss: 0.012827 (0.012909) Loss: 0.23748 (0.30505) +2025-08-23,12:56:24 | INFO | Train Epoch: 8 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.33605 (0.29278) Boundary_loss: 0.013010 (0.012911) Loss: 0.34906 (0.30569) +2025-08-23,12:57:23 | INFO | Train Epoch: 8 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.29799 (0.29285) Boundary_loss: 0.012866 (0.012910) Loss: 0.31086 (0.30576) +2025-08-23,12:58:22 | INFO | Train Epoch: 8 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 18.969 Boundary Ratio: 0.097 Contrastive_loss: 0.33530 (0.29345) Boundary_loss: 0.012949 (0.012911) Loss: 0.34825 (0.30636) +2025-08-23,12:59:21 | INFO | Train Epoch: 8 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.25134 (0.29287) Boundary_loss: 0.012945 (0.012911) Loss: 0.26428 (0.30578) +2025-08-23,13:00:19 | INFO | Train Epoch: 8 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.33332 (0.29342) Boundary_loss: 0.012873 (0.012910) Loss: 0.34620 (0.30633) +2025-08-23,13:01:18 | INFO | Train Epoch: 8 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.29153 (0.29339) Boundary_loss: 0.012925 (0.012911) Loss: 0.30446 (0.30630) +2025-08-23,13:02:17 | INFO | Train Epoch: 8 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.28750 (0.29332) Boundary_loss: 0.012967 (0.012911) Loss: 0.30047 (0.30623) +2025-08-23,13:03:16 | INFO | Train Epoch: 8 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.26635 (0.29296) Boundary_loss: 0.012934 (0.012912) Loss: 0.27928 (0.30587) +2025-08-23,13:04:15 | INFO | Train Epoch: 8 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.31551 (0.29325) Boundary_loss: 0.012826 (0.012911) Loss: 0.32834 (0.30616) +2025-08-23,13:05:13 | INFO | Train Epoch: 8 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 18.900 Boundary Ratio: 0.096 Contrastive_loss: 0.26706 (0.29292) Boundary_loss: 0.013016 (0.012912) Loss: 0.28008 (0.30583) +2025-08-23,13:06:12 | INFO | Train Epoch: 8 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.27091 (0.29264) Boundary_loss: 0.012956 (0.012913) Loss: 0.28386 (0.30555) +2025-08-23,13:07:11 | INFO | Train Epoch: 8 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 18.984 Boundary Ratio: 0.097 Contrastive_loss: 0.27726 (0.29245) Boundary_loss: 0.013015 (0.012914) Loss: 0.29028 (0.30536) +2025-08-23,13:08:10 | INFO | Train Epoch: 8 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.27515 (0.29223) Boundary_loss: 0.012896 (0.012914) Loss: 0.28804 (0.30515) +2025-08-23,13:09:08 | INFO | Train Epoch: 8 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.20226 (0.29114) Boundary_loss: 0.012840 (0.012913) Loss: 0.21510 (0.30405) +2025-08-23,13:10:07 | INFO | Train Epoch: 8 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 18.984 Boundary Ratio: 0.097 Contrastive_loss: 0.25909 (0.29075) Boundary_loss: 0.012833 (0.012912) Loss: 0.27192 (0.30366) +2025-08-23,13:11:06 | INFO | Train Epoch: 8 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.25600 (0.29034) Boundary_loss: 0.013032 (0.012913) Loss: 0.26904 (0.30325) +2025-08-23,13:12:05 | INFO | Train Epoch: 8 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.32958 (0.29080) Boundary_loss: 0.012878 (0.012913) Loss: 0.34246 (0.30371) +2025-08-23,13:13:04 | INFO | Train Epoch: 8 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.30061 (0.29091) Boundary_loss: 0.012810 (0.012912) Loss: 0.31342 (0.30382) +2025-08-23,13:14:02 | INFO | Train Epoch: 8 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 18.951 Boundary Ratio: 0.097 Contrastive_loss: 0.29012 (0.29090) Boundary_loss: 0.012918 (0.012912) Loss: 0.30304 (0.30381) +2025-08-23,13:15:01 | INFO | Train Epoch: 8 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.20021 (0.28987) Boundary_loss: 0.012915 (0.012912) Loss: 0.21312 (0.30278) +2025-08-23,13:16:00 | INFO | Train Epoch: 8 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.29740 (0.28996) Boundary_loss: 0.012909 (0.012912) Loss: 0.31031 (0.30287) +2025-08-23,13:16:59 | INFO | Train Epoch: 8 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.31062 (0.29019) Boundary_loss: 0.012799 (0.012910) Loss: 0.32342 (0.30310) +2025-08-23,13:17:58 | INFO | Train Epoch: 8 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.25852 (0.28984) Boundary_loss: 0.013003 (0.012911) Loss: 0.27152 (0.30275) +2025-08-23,13:18:56 | INFO | Train Epoch: 8 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.31796 (0.29014) Boundary_loss: 0.012893 (0.012911) Loss: 0.33085 (0.30306) +2025-08-23,13:19:55 | INFO | Train Epoch: 8 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.28511 (0.29009) Boundary_loss: 0.012924 (0.012911) Loss: 0.29803 (0.30300) +2025-08-23,13:20:54 | INFO | Train Epoch: 8 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.25244 (0.28969) Boundary_loss: 0.013031 (0.012913) Loss: 0.26547 (0.30260) +2025-08-23,13:21:53 | INFO | Train Epoch: 8 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.594 Boundary Ratio: 0.100 Contrastive_loss: 0.26842 (0.28947) Boundary_loss: 0.012955 (0.012913) Loss: 0.28138 (0.30238) +2025-08-23,13:22:52 | INFO | Train Epoch: 8 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.29014 (0.28947) Boundary_loss: 0.012853 (0.012912) Loss: 0.30299 (0.30239) +2025-08-23,13:23:50 | INFO | Train Epoch: 8 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.23016 (0.28886) Boundary_loss: 0.012903 (0.012912) Loss: 0.24306 (0.30177) +2025-08-23,13:24:49 | INFO | Train Epoch: 8 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.23110 (0.28827) Boundary_loss: 0.012911 (0.012912) Loss: 0.24401 (0.30118) +2025-08-23,13:25:48 | INFO | Train Epoch: 8 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.27230 (0.28811) Boundary_loss: 0.012987 (0.012913) Loss: 0.28529 (0.30102) +2025-08-23,13:26:47 | INFO | Train Epoch: 8 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.29857 (0.28822) Boundary_loss: 0.012949 (0.012913) Loss: 0.31152 (0.30113) +2025-08-23,13:27:46 | INFO | Train Epoch: 8 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.31293 (0.28846) Boundary_loss: 0.012951 (0.012914) Loss: 0.32588 (0.30137) +2025-08-23,13:28:45 | INFO | Train Epoch: 8 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.31157 (0.28869) Boundary_loss: 0.013008 (0.012915) Loss: 0.32458 (0.30160) +2025-08-23,13:29:43 | INFO | Train Epoch: 8 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.22040 (0.28802) Boundary_loss: 0.012960 (0.012915) Loss: 0.23336 (0.30094) +2025-08-23,13:30:42 | INFO | Train Epoch: 8 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.26591 (0.28781) Boundary_loss: 0.012859 (0.012915) Loss: 0.27877 (0.30073) +2025-08-23,13:31:41 | INFO | Train Epoch: 8 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.27667 (0.28770) Boundary_loss: 0.012817 (0.012914) Loss: 0.28949 (0.30062) +2025-08-23,13:32:40 | INFO | Train Epoch: 8 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.31059 (0.28792) Boundary_loss: 0.012960 (0.012914) Loss: 0.32355 (0.30083) +2025-08-23,13:33:39 | INFO | Train Epoch: 8 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.34613 (0.28846) Boundary_loss: 0.012938 (0.012914) Loss: 0.35907 (0.30138) +2025-08-23,13:34:38 | INFO | Train Epoch: 8 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.27197 (0.28831) Boundary_loss: 0.012826 (0.012914) Loss: 0.28479 (0.30123) +2025-08-23,13:35:36 | INFO | Train Epoch: 8 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.27158 (0.28816) Boundary_loss: 0.012888 (0.012913) Loss: 0.28446 (0.30107) +2025-08-23,13:36:35 | INFO | Train Epoch: 8 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.22739 (0.28761) Boundary_loss: 0.013013 (0.012914) Loss: 0.24040 (0.30052) +2025-08-23,13:37:34 | INFO | Train Epoch: 8 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.27238 (0.28747) Boundary_loss: 0.012924 (0.012914) Loss: 0.28530 (0.30038) +2025-08-23,13:38:33 | INFO | Train Epoch: 8 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.30953 (0.28767) Boundary_loss: 0.012843 (0.012914) Loss: 0.32238 (0.30058) +2025-08-23,13:39:32 | INFO | Train Epoch: 8 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.33269 (0.28806) Boundary_loss: 0.012929 (0.012914) Loss: 0.34562 (0.30098) +2025-08-23,13:40:30 | INFO | Train Epoch: 8 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.26904 (0.28790) Boundary_loss: 0.012863 (0.012913) Loss: 0.28190 (0.30081) +2025-08-23,13:41:29 | INFO | Train Epoch: 8 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.26306 (0.28768) Boundary_loss: 0.012891 (0.012913) Loss: 0.27595 (0.30059) +2025-08-23,13:42:28 | INFO | Train Epoch: 8 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.31238 (0.28789) Boundary_loss: 0.012869 (0.012913) Loss: 0.32525 (0.30081) +2025-08-23,13:43:27 | INFO | Train Epoch: 8 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.22670 (0.28737) Boundary_loss: 0.012780 (0.012912) Loss: 0.23948 (0.30028) +2025-08-23,13:44:25 | INFO | Train Epoch: 8 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.29121 (0.28740) Boundary_loss: 0.012962 (0.012912) Loss: 0.30418 (0.30032) +2025-08-23,13:45:24 | INFO | Train Epoch: 8 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.26672 (0.28723) Boundary_loss: 0.012863 (0.012912) Loss: 0.27958 (0.30014) +2025-08-23,13:46:23 | INFO | Train Epoch: 8 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.26880 (0.28708) Boundary_loss: 0.012852 (0.012911) Loss: 0.28166 (0.29999) +2025-08-23,13:47:22 | INFO | Train Epoch: 8 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.26906 (0.28693) Boundary_loss: 0.012760 (0.012910) Loss: 0.28182 (0.29984) +2025-08-23,13:48:21 | INFO | Train Epoch: 8 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.31991 (0.28720) Boundary_loss: 0.012897 (0.012910) Loss: 0.33281 (0.30011) +2025-08-23,13:49:19 | INFO | Train Epoch: 8 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.35487 (0.28775) Boundary_loss: 0.012952 (0.012910) Loss: 0.36783 (0.30066) +2025-08-23,13:50:18 | INFO | Train Epoch: 8 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.30706 (0.28790) Boundary_loss: 0.013000 (0.012911) Loss: 0.32006 (0.30081) +2025-08-23,13:51:17 | INFO | Train Epoch: 8 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.23798 (0.28750) Boundary_loss: 0.012835 (0.012910) Loss: 0.25081 (0.30041) +2025-08-23,13:52:16 | INFO | Train Epoch: 8 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.29217 (0.28754) Boundary_loss: 0.012880 (0.012910) Loss: 0.30505 (0.30045) +2025-08-23,13:53:15 | INFO | Train Epoch: 8 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.32323 (0.28782) Boundary_loss: 0.012978 (0.012911) Loss: 0.33621 (0.30073) +2025-08-23,13:54:13 | INFO | Train Epoch: 8 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.26325 (0.28763) Boundary_loss: 0.012893 (0.012910) Loss: 0.27614 (0.30054) +2025-08-23,13:55:12 | INFO | Train Epoch: 8 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.29408 (0.28768) Boundary_loss: 0.012871 (0.012910) Loss: 0.30695 (0.30059) +2025-08-23,13:56:11 | INFO | Train Epoch: 8 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.512 Boundary Ratio: 0.100 Contrastive_loss: 0.26724 (0.28752) Boundary_loss: 0.012880 (0.012910) Loss: 0.28012 (0.30043) +2025-08-23,13:57:10 | INFO | Train Epoch: 8 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.31018 (0.28770) Boundary_loss: 0.013037 (0.012911) Loss: 0.32321 (0.30061) +2025-08-23,13:58:09 | INFO | Train Epoch: 8 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.26147 (0.28750) Boundary_loss: 0.012972 (0.012911) Loss: 0.27444 (0.30041) +2025-08-23,13:59:08 | INFO | Train Epoch: 8 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.28007 (0.28744) Boundary_loss: 0.012903 (0.012911) Loss: 0.29297 (0.30035) +2025-08-23,14:00:06 | INFO | Train Epoch: 8 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.28431 (0.28742) Boundary_loss: 0.012954 (0.012912) Loss: 0.29727 (0.30033) +2025-08-23,14:01:05 | INFO | Train Epoch: 8 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 18.957 Boundary Ratio: 0.097 Contrastive_loss: 0.34881 (0.28787) Boundary_loss: 0.012917 (0.012912) Loss: 0.36173 (0.30078) +2025-08-23,14:02:04 | INFO | Train Epoch: 8 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.28208 (0.28783) Boundary_loss: 0.012845 (0.012911) Loss: 0.29493 (0.30074) +2025-08-23,14:03:03 | INFO | Train Epoch: 8 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.26470 (0.28766) Boundary_loss: 0.012919 (0.012911) Loss: 0.27762 (0.30057) +2025-08-23,14:04:01 | INFO | Train Epoch: 8 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.27328 (0.28756) Boundary_loss: 0.012952 (0.012911) Loss: 0.28623 (0.30047) +2025-08-23,14:05:00 | INFO | Train Epoch: 8 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.25071 (0.28729) Boundary_loss: 0.012820 (0.012911) Loss: 0.26353 (0.30020) +2025-08-23,14:05:59 | INFO | Train Epoch: 8 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.33301 (0.28762) Boundary_loss: 0.012898 (0.012911) Loss: 0.34591 (0.30053) +2025-08-23,14:06:58 | INFO | Train Epoch: 8 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.27740 (0.28755) Boundary_loss: 0.012903 (0.012911) Loss: 0.29030 (0.30046) +2025-08-23,14:07:57 | INFO | Train Epoch: 8 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.28317 (0.28752) Boundary_loss: 0.012868 (0.012910) Loss: 0.29604 (0.30043) +2025-08-23,14:08:55 | INFO | Train Epoch: 8 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.28480 (0.28750) Boundary_loss: 0.012997 (0.012911) Loss: 0.29780 (0.30041) +2025-08-23,14:09:54 | INFO | Train Epoch: 8 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.33607 (0.28783) Boundary_loss: 0.012962 (0.012911) Loss: 0.34903 (0.30075) +2025-08-23,14:10:53 | INFO | Train Epoch: 8 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.28067 (0.28778) Boundary_loss: 0.012945 (0.012912) Loss: 0.29362 (0.30070) +2025-08-23,14:11:52 | INFO | Train Epoch: 8 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.27802 (0.28772) Boundary_loss: 0.012882 (0.012911) Loss: 0.29091 (0.30063) +2025-08-23,14:12:51 | INFO | Train Epoch: 8 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 18.969 Boundary Ratio: 0.097 Contrastive_loss: 0.33089 (0.28801) Boundary_loss: 0.012881 (0.012911) Loss: 0.34377 (0.30092) +2025-08-23,14:13:50 | INFO | Train Epoch: 8 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.27653 (0.28793) Boundary_loss: 0.012922 (0.012911) Loss: 0.28945 (0.30084) +2025-08-23,14:14:48 | INFO | Train Epoch: 8 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.23027 (0.28755) Boundary_loss: 0.012986 (0.012912) Loss: 0.24325 (0.30046) +2025-08-23,14:15:47 | INFO | Train Epoch: 8 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.29454 (0.28759) Boundary_loss: 0.012905 (0.012912) Loss: 0.30744 (0.30050) +2025-08-23,14:16:46 | INFO | Train Epoch: 8 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.33351 (0.28790) Boundary_loss: 0.012979 (0.012912) Loss: 0.34649 (0.30081) +2025-08-23,14:17:45 | INFO | Train Epoch: 8 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.25621 (0.28769) Boundary_loss: 0.012940 (0.012912) Loss: 0.26915 (0.30060) +2025-08-23,14:18:44 | INFO | Train Epoch: 8 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.22113 (0.28725) Boundary_loss: 0.012982 (0.012913) Loss: 0.23412 (0.30017) +2025-08-23,14:19:42 | INFO | Train Epoch: 8 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.484 Boundary Ratio: 0.099 Contrastive_loss: 0.24262 (0.28696) Boundary_loss: 0.012981 (0.012913) Loss: 0.25561 (0.29988) +2025-08-23,14:20:41 | INFO | Train Epoch: 8 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.29397 (0.28701) Boundary_loss: 0.012939 (0.012913) Loss: 0.30691 (0.29992) +2025-08-23,14:21:40 | INFO | Train Epoch: 8 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.31706 (0.28720) Boundary_loss: 0.012849 (0.012913) Loss: 0.32991 (0.30011) +2025-08-23,14:22:39 | INFO | Train Epoch: 8 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.31016 (0.28735) Boundary_loss: 0.012913 (0.012913) Loss: 0.32307 (0.30026) +2025-08-23,14:23:37 | INFO | Train Epoch: 8 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.27239 (0.28725) Boundary_loss: 0.012885 (0.012913) Loss: 0.28528 (0.30017) +2025-08-23,14:24:36 | INFO | Train Epoch: 8 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.24926 (0.28701) Boundary_loss: 0.012873 (0.012913) Loss: 0.26214 (0.29993) +2025-08-23,14:25:35 | INFO | Train Epoch: 8 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.24415 (0.28675) Boundary_loss: 0.012917 (0.012913) Loss: 0.25706 (0.29966) +2025-08-23,14:26:34 | INFO | Train Epoch: 8 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.26269 (0.28660) Boundary_loss: 0.012833 (0.012912) Loss: 0.27552 (0.29951) +2025-08-23,14:27:33 | INFO | Train Epoch: 8 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.30214 (0.28669) Boundary_loss: 0.012958 (0.012912) Loss: 0.31510 (0.29961) +2025-08-23,14:28:31 | INFO | Train Epoch: 8 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 0.25234 (0.28648) Boundary_loss: 0.012925 (0.012912) Loss: 0.26526 (0.29939) +2025-08-23,14:29:30 | INFO | Train Epoch: 8 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.31497 (0.28666) Boundary_loss: 0.012888 (0.012912) Loss: 0.32786 (0.29957) +2025-08-23,14:30:29 | INFO | Train Epoch: 8 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.29835 (0.28673) Boundary_loss: 0.012973 (0.012913) Loss: 0.31132 (0.29964) +2025-08-23,14:31:28 | INFO | Train Epoch: 8 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.33196 (0.28700) Boundary_loss: 0.012866 (0.012912) Loss: 0.34482 (0.29991) +2025-08-23,14:32:26 | INFO | Train Epoch: 8 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.26326 (0.28686) Boundary_loss: 0.012859 (0.012912) Loss: 0.27612 (0.29977) +2025-08-23,14:33:25 | INFO | Train Epoch: 8 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.34893 (0.28723) Boundary_loss: 0.012829 (0.012912) Loss: 0.36176 (0.30014) +2025-08-23,14:34:24 | INFO | Train Epoch: 8 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.28402 (0.28721) Boundary_loss: 0.012827 (0.012911) Loss: 0.29685 (0.30012) +2025-08-23,14:35:23 | INFO | Train Epoch: 8 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.24452 (0.28696) Boundary_loss: 0.012933 (0.012911) Loss: 0.25745 (0.29987) +2025-08-23,14:36:22 | INFO | Train Epoch: 8 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.23362 (0.28664) Boundary_loss: 0.012906 (0.012911) Loss: 0.24653 (0.29956) +2025-08-23,14:37:20 | INFO | Train Epoch: 8 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.25370 (0.28645) Boundary_loss: 0.012957 (0.012911) Loss: 0.26666 (0.29936) +2025-08-23,14:38:19 | INFO | Train Epoch: 8 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.28165 (0.28643) Boundary_loss: 0.012853 (0.012911) Loss: 0.29451 (0.29934) +2025-08-23,14:39:18 | INFO | Train Epoch: 8 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.26246 (0.28629) Boundary_loss: 0.012882 (0.012911) Loss: 0.27534 (0.29920) +2025-08-23,14:40:17 | INFO | Train Epoch: 8 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.34587 (0.28663) Boundary_loss: 0.012891 (0.012911) Loss: 0.35876 (0.29954) +2025-08-23,14:41:16 | INFO | Train Epoch: 8 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.35505 (0.28702) Boundary_loss: 0.012937 (0.012911) Loss: 0.36799 (0.29993) +2025-08-23,14:42:15 | INFO | Train Epoch: 8 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.33665 (0.28730) Boundary_loss: 0.012852 (0.012911) Loss: 0.34950 (0.30021) +2025-08-23,14:43:13 | INFO | Train Epoch: 8 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.27324 (0.28722) Boundary_loss: 0.012820 (0.012910) Loss: 0.28606 (0.30013) +2025-08-23,14:44:12 | INFO | Train Epoch: 8 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.29180 (0.28724) Boundary_loss: 0.012904 (0.012910) Loss: 0.30470 (0.30015) +2025-08-23,14:45:11 | INFO | Train Epoch: 8 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.26762 (0.28714) Boundary_loss: 0.012836 (0.012910) Loss: 0.28046 (0.30004) +2025-08-23,14:46:10 | INFO | Train Epoch: 8 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.29460 (0.28718) Boundary_loss: 0.012961 (0.012910) Loss: 0.30756 (0.30009) +2025-08-23,14:47:09 | INFO | Train Epoch: 8 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.28636 (0.28717) Boundary_loss: 0.012846 (0.012910) Loss: 0.29921 (0.30008) +2025-08-23,14:48:07 | INFO | Train Epoch: 8 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.33272 (0.28742) Boundary_loss: 0.012927 (0.012910) Loss: 0.34565 (0.30033) +2025-08-23,14:49:06 | INFO | Train Epoch: 8 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.29704 (0.28747) Boundary_loss: 0.012871 (0.012909) Loss: 0.30991 (0.30038) +2025-08-23,14:50:05 | INFO | Train Epoch: 8 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.26238 (0.28734) Boundary_loss: 0.012985 (0.012910) Loss: 0.27537 (0.30025) +2025-08-23,14:51:04 | INFO | Train Epoch: 8 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.35027 (0.28768) Boundary_loss: 0.012860 (0.012910) Loss: 0.36313 (0.30059) +2025-08-23,14:52:03 | INFO | Train Epoch: 8 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.29019 (0.28769) Boundary_loss: 0.012795 (0.012909) Loss: 0.30299 (0.30060) +2025-08-23,14:53:02 | INFO | Train Epoch: 8 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.34718 (0.28801) Boundary_loss: 0.012905 (0.012909) Loss: 0.36009 (0.30091) +2025-08-23,14:54:00 | INFO | Train Epoch: 8 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.25891 (0.28785) Boundary_loss: 0.012863 (0.012909) Loss: 0.27177 (0.30076) +2025-08-23,14:54:59 | INFO | Train Epoch: 8 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.21972 (0.28749) Boundary_loss: 0.012813 (0.012908) Loss: 0.23253 (0.30040) +2025-08-23,14:55:58 | INFO | Train Epoch: 8 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.27420 (0.28742) Boundary_loss: 0.012974 (0.012909) Loss: 0.28718 (0.30033) +2025-08-23,14:56:57 | INFO | Train Epoch: 8 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.27616 (0.28736) Boundary_loss: 0.012913 (0.012909) Loss: 0.28907 (0.30027) +2025-08-23,14:57:56 | INFO | Train Epoch: 8 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.33685 (0.28762) Boundary_loss: 0.012943 (0.012909) Loss: 0.34979 (0.30053) +2025-08-23,14:58:55 | INFO | Train Epoch: 8 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.24778 (0.28742) Boundary_loss: 0.012835 (0.012908) Loss: 0.26061 (0.30032) +2025-08-23,14:59:53 | INFO | Train Epoch: 8 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.24184 (0.28718) Boundary_loss: 0.012914 (0.012908) Loss: 0.25476 (0.30009) +2025-08-23,15:00:52 | INFO | Train Epoch: 8 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.27229 (0.28711) Boundary_loss: 0.012992 (0.012909) Loss: 0.28529 (0.30001) +2025-08-23,15:01:51 | INFO | Train Epoch: 8 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.27214 (0.28703) Boundary_loss: 0.012839 (0.012908) Loss: 0.28498 (0.29994) +2025-08-23,15:02:50 | INFO | Train Epoch: 8 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.26874 (0.28694) Boundary_loss: 0.012938 (0.012909) Loss: 0.28167 (0.29985) +2025-08-23,15:03:49 | INFO | Train Epoch: 8 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.29236 (0.28697) Boundary_loss: 0.012923 (0.012909) Loss: 0.30529 (0.29987) +2025-08-23,15:04:48 | INFO | Train Epoch: 8 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.23122 (0.28669) Boundary_loss: 0.012978 (0.012909) Loss: 0.24419 (0.29960) +2025-08-23,15:05:46 | INFO | Train Epoch: 8 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.31791 (0.28684) Boundary_loss: 0.012946 (0.012909) Loss: 0.33086 (0.29975) +2025-08-23,15:06:45 | INFO | Train Epoch: 8 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.25994 (0.28671) Boundary_loss: 0.012925 (0.012909) Loss: 0.27286 (0.29962) +2025-08-23,15:07:44 | INFO | Train Epoch: 8 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.32570 (0.28690) Boundary_loss: 0.012958 (0.012910) Loss: 0.33866 (0.29981) +2025-08-23,15:08:43 | INFO | Train Epoch: 8 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.28537 (0.28689) Boundary_loss: 0.012858 (0.012909) Loss: 0.29823 (0.29980) +2025-08-23,15:09:42 | INFO | Train Epoch: 8 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.26278 (0.28678) Boundary_loss: 0.013048 (0.012910) Loss: 0.27583 (0.29969) +2025-08-23,15:10:41 | INFO | Train Epoch: 8 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.27385 (0.28671) Boundary_loss: 0.012809 (0.012910) Loss: 0.28666 (0.29962) +2025-08-23,15:11:39 | INFO | Train Epoch: 8 [10547712/26365952 (40%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 0.25574 (0.28656) Boundary_loss: 0.012893 (0.012909) Loss: 0.26863 (0.29947) +2025-08-23,15:12:38 | INFO | Train Epoch: 8 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.17430 (0.28602) Boundary_loss: 0.012918 (0.012909) Loss: 0.18721 (0.29893) +2025-08-23,15:13:37 | INFO | Train Epoch: 8 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.30723 (0.28612) Boundary_loss: 0.012913 (0.012909) Loss: 0.32014 (0.29903) +2025-08-23,15:14:36 | INFO | Train Epoch: 8 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.27121 (0.28605) Boundary_loss: 0.012906 (0.012909) Loss: 0.28412 (0.29896) +2025-08-23,15:15:35 | INFO | Train Epoch: 8 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.24564 (0.28586) Boundary_loss: 0.012892 (0.012909) Loss: 0.25853 (0.29877) +2025-08-23,15:16:34 | INFO | Train Epoch: 8 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.28757 (0.28587) Boundary_loss: 0.012827 (0.012909) Loss: 0.30040 (0.29878) +2025-08-23,15:17:33 | INFO | Train Epoch: 8 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.615 Boundary Ratio: 0.100 Contrastive_loss: 0.29067 (0.28589) Boundary_loss: 0.013008 (0.012909) Loss: 0.30368 (0.29880) +2025-08-23,15:18:31 | INFO | Train Epoch: 8 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.30811 (0.28600) Boundary_loss: 0.012911 (0.012909) Loss: 0.32102 (0.29891) +2025-08-23,15:19:30 | INFO | Train Epoch: 8 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.28182 (0.28598) Boundary_loss: 0.012864 (0.012909) Loss: 0.29468 (0.29889) +2025-08-23,15:20:29 | INFO | Train Epoch: 8 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.30921 (0.28608) Boundary_loss: 0.012938 (0.012909) Loss: 0.32215 (0.29899) +2025-08-23,15:21:28 | INFO | Train Epoch: 8 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.26231 (0.28598) Boundary_loss: 0.012912 (0.012909) Loss: 0.27522 (0.29888) +2025-08-23,15:22:27 | INFO | Train Epoch: 8 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.29673 (0.28602) Boundary_loss: 0.012947 (0.012910) Loss: 0.30968 (0.29893) +2025-08-23,15:23:26 | INFO | Train Epoch: 8 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.23419 (0.28579) Boundary_loss: 0.012893 (0.012909) Loss: 0.24708 (0.29870) +2025-08-23,15:24:25 | INFO | Train Epoch: 8 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.36816 (0.28616) Boundary_loss: 0.012911 (0.012910) Loss: 0.38107 (0.29907) +2025-08-23,15:25:23 | INFO | Train Epoch: 8 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.25834 (0.28604) Boundary_loss: 0.012918 (0.012910) Loss: 0.27126 (0.29895) +2025-08-23,15:26:22 | INFO | Train Epoch: 8 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.29999 (0.28610) Boundary_loss: 0.012960 (0.012910) Loss: 0.31295 (0.29901) +2025-08-23,15:27:21 | INFO | Train Epoch: 8 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.564 Boundary Ratio: 0.100 Contrastive_loss: 0.24138 (0.28590) Boundary_loss: 0.012879 (0.012910) Loss: 0.25426 (0.29881) +2025-08-23,15:28:20 | INFO | Train Epoch: 8 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.24719 (0.28573) Boundary_loss: 0.012876 (0.012909) Loss: 0.26006 (0.29864) +2025-08-23,15:29:19 | INFO | Train Epoch: 8 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.28069 (0.28570) Boundary_loss: 0.012912 (0.012909) Loss: 0.29360 (0.29861) +2025-08-23,15:30:17 | INFO | Train Epoch: 8 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.31950 (0.28585) Boundary_loss: 0.012911 (0.012909) Loss: 0.33241 (0.29876) +2025-08-23,15:31:16 | INFO | Train Epoch: 8 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.23562 (0.28563) Boundary_loss: 0.012906 (0.012909) Loss: 0.24853 (0.29854) +2025-08-23,15:32:15 | INFO | Train Epoch: 8 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.004 Boundary Ratio: 0.097 Contrastive_loss: 0.29350 (0.28567) Boundary_loss: 0.013038 (0.012910) Loss: 0.30654 (0.29858) +2025-08-23,15:33:14 | INFO | Train Epoch: 8 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.28413 (0.28566) Boundary_loss: 0.012958 (0.012910) Loss: 0.29708 (0.29857) +2025-08-23,15:34:13 | INFO | Train Epoch: 8 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.576 Boundary Ratio: 0.100 Contrastive_loss: 0.34774 (0.28593) Boundary_loss: 0.012966 (0.012910) Loss: 0.36070 (0.29884) +2025-08-23,15:35:12 | INFO | Train Epoch: 8 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.21862 (0.28564) Boundary_loss: 0.012933 (0.012911) Loss: 0.23155 (0.29855) +2025-08-23,15:36:10 | INFO | Train Epoch: 8 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.33065 (0.28583) Boundary_loss: 0.012904 (0.012911) Loss: 0.34355 (0.29874) +2025-08-23,15:37:09 | INFO | Train Epoch: 8 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.32987 (0.28602) Boundary_loss: 0.012924 (0.012911) Loss: 0.34279 (0.29893) +2025-08-23,15:38:08 | INFO | Train Epoch: 8 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.29697 (0.28607) Boundary_loss: 0.012863 (0.012910) Loss: 0.30983 (0.29898) +2025-08-23,15:39:07 | INFO | Train Epoch: 8 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.28658 (0.28607) Boundary_loss: 0.012878 (0.012910) Loss: 0.29945 (0.29898) +2025-08-23,15:40:06 | INFO | Train Epoch: 8 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.21663 (0.28578) Boundary_loss: 0.012912 (0.012910) Loss: 0.22954 (0.29869) +2025-08-23,15:41:05 | INFO | Train Epoch: 8 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.30397 (0.28585) Boundary_loss: 0.012817 (0.012910) Loss: 0.31679 (0.29876) +2025-08-23,15:42:03 | INFO | Train Epoch: 8 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.26997 (0.28579) Boundary_loss: 0.012886 (0.012910) Loss: 0.28285 (0.29870) +2025-08-23,15:43:02 | INFO | Train Epoch: 8 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 0.23704 (0.28558) Boundary_loss: 0.012972 (0.012910) Loss: 0.25002 (0.29849) +2025-08-23,15:44:01 | INFO | Train Epoch: 8 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.28728 (0.28559) Boundary_loss: 0.012865 (0.012910) Loss: 0.30014 (0.29850) +2025-08-23,15:45:00 | INFO | Train Epoch: 8 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.27740 (0.28556) Boundary_loss: 0.012921 (0.012910) Loss: 0.29032 (0.29846) +2025-08-23,15:45:58 | INFO | Train Epoch: 8 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.29276 (0.28558) Boundary_loss: 0.012940 (0.012910) Loss: 0.30570 (0.29849) +2025-08-23,15:46:57 | INFO | Train Epoch: 8 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.27778 (0.28555) Boundary_loss: 0.012999 (0.012910) Loss: 0.29078 (0.29846) +2025-08-23,15:47:56 | INFO | Train Epoch: 8 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.26547 (0.28547) Boundary_loss: 0.012901 (0.012910) Loss: 0.27837 (0.29838) +2025-08-23,15:48:55 | INFO | Train Epoch: 8 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.25493 (0.28535) Boundary_loss: 0.012864 (0.012910) Loss: 0.26779 (0.29826) +2025-08-23,15:49:53 | INFO | Train Epoch: 8 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.30213 (0.28541) Boundary_loss: 0.012963 (0.012910) Loss: 0.31509 (0.29832) +2025-08-23,15:50:52 | INFO | Train Epoch: 8 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.25046 (0.28527) Boundary_loss: 0.012898 (0.012910) Loss: 0.26336 (0.29818) +2025-08-23,15:51:51 | INFO | Train Epoch: 8 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.24694 (0.28512) Boundary_loss: 0.012894 (0.012910) Loss: 0.25984 (0.29803) +2025-08-23,15:52:49 | INFO | Train Epoch: 8 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.25632 (0.28500) Boundary_loss: 0.012942 (0.012910) Loss: 0.26926 (0.29791) +2025-08-23,15:53:48 | INFO | Train Epoch: 8 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.24768 (0.28485) Boundary_loss: 0.012934 (0.012911) Loss: 0.26061 (0.29776) +2025-08-23,15:54:47 | INFO | Train Epoch: 8 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.26570 (0.28478) Boundary_loss: 0.012896 (0.012910) Loss: 0.27860 (0.29769) +2025-08-23,15:55:46 | INFO | Train Epoch: 8 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.31728 (0.28491) Boundary_loss: 0.012830 (0.012910) Loss: 0.33011 (0.29782) +2025-08-23,15:56:44 | INFO | Train Epoch: 8 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.28197 (0.28489) Boundary_loss: 0.012915 (0.012910) Loss: 0.29489 (0.29780) +2025-08-23,15:57:43 | INFO | Train Epoch: 8 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.23213 (0.28469) Boundary_loss: 0.012986 (0.012910) Loss: 0.24511 (0.29760) +2025-08-23,15:58:42 | INFO | Train Epoch: 8 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.28947 (0.28471) Boundary_loss: 0.012992 (0.012911) Loss: 0.30246 (0.29762) +2025-08-23,15:59:40 | INFO | Train Epoch: 8 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.25513 (0.28459) Boundary_loss: 0.012918 (0.012911) Loss: 0.26805 (0.29750) +2025-08-23,16:00:39 | INFO | Train Epoch: 8 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.26264 (0.28450) Boundary_loss: 0.012952 (0.012911) Loss: 0.27559 (0.29742) +2025-08-23,16:01:38 | INFO | Train Epoch: 8 [13158912/26365952 (50%)] Avg Boundaries (per batch): 18.863 Boundary Ratio: 0.096 Contrastive_loss: 0.24948 (0.28437) Boundary_loss: 0.012925 (0.012911) Loss: 0.26240 (0.29728) +2025-08-23,16:02:37 | INFO | Train Epoch: 8 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.27280 (0.28432) Boundary_loss: 0.012894 (0.012911) Loss: 0.28570 (0.29723) +2025-08-23,16:03:35 | INFO | Train Epoch: 8 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.33630 (0.28452) Boundary_loss: 0.013001 (0.012911) Loss: 0.34930 (0.29743) +2025-08-23,16:04:34 | INFO | Train Epoch: 8 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.28479 (0.28452) Boundary_loss: 0.012933 (0.012911) Loss: 0.29773 (0.29744) +2025-08-23,16:05:33 | INFO | Train Epoch: 8 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.31247 (0.28463) Boundary_loss: 0.012835 (0.012911) Loss: 0.32531 (0.29754) +2025-08-23,16:06:31 | INFO | Train Epoch: 8 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.29222 (0.28466) Boundary_loss: 0.012822 (0.012911) Loss: 0.30504 (0.29757) +2025-08-23,16:07:30 | INFO | Train Epoch: 8 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.32104 (0.28480) Boundary_loss: 0.012878 (0.012911) Loss: 0.33392 (0.29771) +2025-08-23,16:08:29 | INFO | Train Epoch: 8 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.699 Boundary Ratio: 0.101 Contrastive_loss: 0.24297 (0.28464) Boundary_loss: 0.012884 (0.012911) Loss: 0.25586 (0.29755) +2025-08-23,16:09:28 | INFO | Train Epoch: 8 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.29320 (0.28467) Boundary_loss: 0.012965 (0.012911) Loss: 0.30617 (0.29758) +2025-08-23,16:10:26 | INFO | Train Epoch: 8 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.24768 (0.28453) Boundary_loss: 0.012843 (0.012910) Loss: 0.26052 (0.29744) +2025-08-23,16:11:25 | INFO | Train Epoch: 8 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.28569 (0.28454) Boundary_loss: 0.012977 (0.012911) Loss: 0.29867 (0.29745) +2025-08-23,16:12:24 | INFO | Train Epoch: 8 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.26338 (0.28446) Boundary_loss: 0.012926 (0.012911) Loss: 0.27631 (0.29737) +2025-08-23,16:13:23 | INFO | Train Epoch: 8 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.32120 (0.28460) Boundary_loss: 0.012950 (0.012911) Loss: 0.33414 (0.29751) +2025-08-23,16:14:21 | INFO | Train Epoch: 8 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.28230 (0.28459) Boundary_loss: 0.012944 (0.012911) Loss: 0.29524 (0.29750) +2025-08-23,16:15:20 | INFO | Train Epoch: 8 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.29579 (0.28463) Boundary_loss: 0.012904 (0.012911) Loss: 0.30869 (0.29754) +2025-08-23,16:16:19 | INFO | Train Epoch: 8 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.39003 (0.28501) Boundary_loss: 0.012906 (0.012911) Loss: 0.40294 (0.29793) +2025-08-23,16:17:18 | INFO | Train Epoch: 8 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.20954 (0.28474) Boundary_loss: 0.012877 (0.012911) Loss: 0.22242 (0.29765) +2025-08-23,16:18:17 | INFO | Train Epoch: 8 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.33396 (0.28492) Boundary_loss: 0.012943 (0.012911) Loss: 0.34690 (0.29783) +2025-08-23,16:19:15 | INFO | Train Epoch: 8 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.26341 (0.28484) Boundary_loss: 0.012862 (0.012911) Loss: 0.27627 (0.29775) +2025-08-23,16:20:14 | INFO | Train Epoch: 8 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.26635 (0.28477) Boundary_loss: 0.012837 (0.012911) Loss: 0.27919 (0.29768) +2025-08-23,16:21:13 | INFO | Train Epoch: 8 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.22720 (0.28457) Boundary_loss: 0.013010 (0.012911) Loss: 0.24021 (0.29748) +2025-08-23,16:22:12 | INFO | Train Epoch: 8 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.31506 (0.28468) Boundary_loss: 0.012846 (0.012911) Loss: 0.32791 (0.29759) +2025-08-23,16:23:11 | INFO | Train Epoch: 8 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.30391 (0.28474) Boundary_loss: 0.012922 (0.012911) Loss: 0.31683 (0.29765) +2025-08-23,16:24:09 | INFO | Train Epoch: 8 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.27558 (0.28471) Boundary_loss: 0.012958 (0.012911) Loss: 0.28854 (0.29762) +2025-08-23,16:25:08 | INFO | Train Epoch: 8 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.568 Boundary Ratio: 0.100 Contrastive_loss: 0.31401 (0.28482) Boundary_loss: 0.012958 (0.012911) Loss: 0.32697 (0.29773) +2025-08-23,16:26:07 | INFO | Train Epoch: 8 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.28935 (0.28483) Boundary_loss: 0.012890 (0.012911) Loss: 0.30224 (0.29774) +2025-08-23,16:27:06 | INFO | Train Epoch: 8 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.26787 (0.28477) Boundary_loss: 0.012810 (0.012911) Loss: 0.28068 (0.29768) +2025-08-23,16:28:04 | INFO | Train Epoch: 8 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.23278 (0.28459) Boundary_loss: 0.012817 (0.012910) Loss: 0.24560 (0.29750) +2025-08-23,16:29:03 | INFO | Train Epoch: 8 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.26608 (0.28452) Boundary_loss: 0.012908 (0.012910) Loss: 0.27899 (0.29743) +2025-08-23,16:30:02 | INFO | Train Epoch: 8 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.37758 (0.28485) Boundary_loss: 0.012771 (0.012910) Loss: 0.39035 (0.29776) +2025-08-23,16:31:01 | INFO | Train Epoch: 8 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.26054 (0.28476) Boundary_loss: 0.012936 (0.012910) Loss: 0.27348 (0.29767) +2025-08-23,16:31:59 | INFO | Train Epoch: 8 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.477 Boundary Ratio: 0.099 Contrastive_loss: 0.25683 (0.28467) Boundary_loss: 0.012986 (0.012910) Loss: 0.26982 (0.29758) +2025-08-23,16:32:58 | INFO | Train Epoch: 8 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.26141 (0.28459) Boundary_loss: 0.012934 (0.012910) Loss: 0.27435 (0.29750) +2025-08-23,16:33:57 | INFO | Train Epoch: 8 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.28942 (0.28460) Boundary_loss: 0.012919 (0.012910) Loss: 0.30234 (0.29751) +2025-08-23,16:34:55 | INFO | Train Epoch: 8 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.26849 (0.28455) Boundary_loss: 0.012860 (0.012910) Loss: 0.28136 (0.29746) +2025-08-23,16:35:54 | INFO | Train Epoch: 8 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.28737 (0.28456) Boundary_loss: 0.012909 (0.012910) Loss: 0.30028 (0.29747) +2025-08-23,16:36:53 | INFO | Train Epoch: 8 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.24369 (0.28442) Boundary_loss: 0.012904 (0.012910) Loss: 0.25660 (0.29733) +2025-08-23,16:37:52 | INFO | Train Epoch: 8 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.31090 (0.28451) Boundary_loss: 0.012881 (0.012910) Loss: 0.32378 (0.29742) +2025-08-23,16:38:50 | INFO | Train Epoch: 8 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.23853 (0.28435) Boundary_loss: 0.012949 (0.012910) Loss: 0.25148 (0.29726) +2025-08-23,16:39:49 | INFO | Train Epoch: 8 [15155712/26365952 (57%)] Avg Boundaries (per batch): 18.941 Boundary Ratio: 0.097 Contrastive_loss: 0.28854 (0.28437) Boundary_loss: 0.012950 (0.012910) Loss: 0.30149 (0.29728) +2025-08-23,16:40:48 | INFO | Train Epoch: 8 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.30142 (0.28443) Boundary_loss: 0.012903 (0.012910) Loss: 0.31433 (0.29734) +2025-08-23,16:41:47 | INFO | Train Epoch: 8 [15258112/26365952 (58%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 0.28223 (0.28442) Boundary_loss: 0.012950 (0.012910) Loss: 0.29518 (0.29733) +2025-08-23,16:42:45 | INFO | Train Epoch: 8 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.26069 (0.28434) Boundary_loss: 0.012890 (0.012910) Loss: 0.27358 (0.29725) +2025-08-23,16:43:44 | INFO | Train Epoch: 8 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.29012 (0.28436) Boundary_loss: 0.012960 (0.012910) Loss: 0.30308 (0.29727) +2025-08-23,16:44:43 | INFO | Train Epoch: 8 [15411712/26365952 (58%)] Avg Boundaries (per batch): 18.941 Boundary Ratio: 0.097 Contrastive_loss: 0.28641 (0.28436) Boundary_loss: 0.012879 (0.012910) Loss: 0.29929 (0.29728) +2025-08-23,16:45:42 | INFO | Train Epoch: 8 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.22492 (0.28417) Boundary_loss: 0.012959 (0.012910) Loss: 0.23788 (0.29708) +2025-08-23,16:46:40 | INFO | Train Epoch: 8 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.26888 (0.28412) Boundary_loss: 0.012957 (0.012911) Loss: 0.28183 (0.29703) +2025-08-23,16:47:39 | INFO | Train Epoch: 8 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.33063 (0.28427) Boundary_loss: 0.012947 (0.012911) Loss: 0.34358 (0.29718) +2025-08-23,16:48:38 | INFO | Train Epoch: 8 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.31076 (0.28436) Boundary_loss: 0.012979 (0.012911) Loss: 0.32374 (0.29727) +2025-08-23,16:49:36 | INFO | Train Epoch: 8 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.30248 (0.28442) Boundary_loss: 0.012904 (0.012911) Loss: 0.31538 (0.29733) +2025-08-23,16:50:35 | INFO | Train Epoch: 8 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.30963 (0.28450) Boundary_loss: 0.012822 (0.012911) Loss: 0.32246 (0.29741) +2025-08-23,16:51:34 | INFO | Train Epoch: 8 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.25859 (0.28441) Boundary_loss: 0.012968 (0.012911) Loss: 0.27156 (0.29733) +2025-08-23,16:52:33 | INFO | Train Epoch: 8 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.24592 (0.28429) Boundary_loss: 0.012911 (0.012911) Loss: 0.25883 (0.29720) +2025-08-23,16:53:31 | INFO | Train Epoch: 8 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.22192 (0.28409) Boundary_loss: 0.012884 (0.012911) Loss: 0.23481 (0.29700) +2025-08-23,16:54:30 | INFO | Train Epoch: 8 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.28863 (0.28410) Boundary_loss: 0.012855 (0.012911) Loss: 0.30148 (0.29701) +2025-08-23,16:55:29 | INFO | Train Epoch: 8 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.25207 (0.28400) Boundary_loss: 0.012904 (0.012911) Loss: 0.26497 (0.29691) +2025-08-23,16:56:28 | INFO | Train Epoch: 8 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.23286 (0.28384) Boundary_loss: 0.012932 (0.012911) Loss: 0.24580 (0.29675) +2025-08-23,16:57:26 | INFO | Train Epoch: 8 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.23510 (0.28368) Boundary_loss: 0.012830 (0.012910) Loss: 0.24793 (0.29659) +2025-08-23,16:58:25 | INFO | Train Epoch: 8 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 0.21182 (0.28346) Boundary_loss: 0.012953 (0.012911) Loss: 0.22477 (0.29637) +2025-08-23,16:59:24 | INFO | Train Epoch: 8 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.35540 (0.28368) Boundary_loss: 0.012975 (0.012911) Loss: 0.36838 (0.29659) +2025-08-23,17:00:22 | INFO | Train Epoch: 8 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.26946 (0.28364) Boundary_loss: 0.012814 (0.012910) Loss: 0.28227 (0.29655) +2025-08-23,17:01:21 | INFO | Train Epoch: 8 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.32354 (0.28376) Boundary_loss: 0.012826 (0.012910) Loss: 0.33636 (0.29667) +2025-08-23,17:02:20 | INFO | Train Epoch: 8 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.672 Boundary Ratio: 0.100 Contrastive_loss: 0.24715 (0.28365) Boundary_loss: 0.012825 (0.012910) Loss: 0.25997 (0.29656) +2025-08-23,17:03:19 | INFO | Train Epoch: 8 [16384512/26365952 (62%)] Avg Boundaries (per batch): 18.977 Boundary Ratio: 0.097 Contrastive_loss: 0.32191 (0.28377) Boundary_loss: 0.012902 (0.012910) Loss: 0.33482 (0.29668) +2025-08-23,17:04:17 | INFO | Train Epoch: 8 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.25283 (0.28367) Boundary_loss: 0.012882 (0.012910) Loss: 0.26571 (0.29658) +2025-08-23,17:05:16 | INFO | Train Epoch: 8 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.25681 (0.28359) Boundary_loss: 0.012881 (0.012910) Loss: 0.26969 (0.29650) +2025-08-23,17:06:15 | INFO | Train Epoch: 8 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.20153 (0.28334) Boundary_loss: 0.012841 (0.012909) Loss: 0.21437 (0.29625) +2025-08-23,17:07:14 | INFO | Train Epoch: 8 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.26420 (0.28328) Boundary_loss: 0.012852 (0.012909) Loss: 0.27705 (0.29619) +2025-08-23,17:08:12 | INFO | Train Epoch: 8 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.25819 (0.28320) Boundary_loss: 0.012938 (0.012909) Loss: 0.27113 (0.29611) +2025-08-23,17:09:11 | INFO | Train Epoch: 8 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.27148 (0.28316) Boundary_loss: 0.012897 (0.012909) Loss: 0.28438 (0.29607) +2025-08-23,17:10:10 | INFO | Train Epoch: 8 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.30101 (0.28322) Boundary_loss: 0.012928 (0.012909) Loss: 0.31393 (0.29613) +2025-08-23,17:11:08 | INFO | Train Epoch: 8 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.29908 (0.28327) Boundary_loss: 0.012927 (0.012909) Loss: 0.31201 (0.29618) +2025-08-23,17:12:07 | INFO | Train Epoch: 8 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.27197 (0.28323) Boundary_loss: 0.012976 (0.012910) Loss: 0.28495 (0.29614) +2025-08-23,17:13:06 | INFO | Train Epoch: 8 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.29017 (0.28325) Boundary_loss: 0.012937 (0.012910) Loss: 0.30310 (0.29616) +2025-08-23,17:14:04 | INFO | Train Epoch: 8 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.18132 (0.28295) Boundary_loss: 0.012978 (0.012910) Loss: 0.19430 (0.29586) +2025-08-23,17:15:03 | INFO | Train Epoch: 8 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.25941 (0.28288) Boundary_loss: 0.012950 (0.012910) Loss: 0.27236 (0.29579) +2025-08-23,17:16:02 | INFO | Train Epoch: 8 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.24690 (0.28277) Boundary_loss: 0.012877 (0.012910) Loss: 0.25978 (0.29568) +2025-08-23,17:17:01 | INFO | Train Epoch: 8 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.25810 (0.28270) Boundary_loss: 0.012900 (0.012910) Loss: 0.27100 (0.29561) +2025-08-23,17:17:59 | INFO | Train Epoch: 8 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.30761 (0.28277) Boundary_loss: 0.012878 (0.012910) Loss: 0.32049 (0.29568) +2025-08-23,17:18:58 | INFO | Train Epoch: 8 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.24864 (0.28267) Boundary_loss: 0.012884 (0.012910) Loss: 0.26153 (0.29558) +2025-08-23,17:19:57 | INFO | Train Epoch: 8 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.23233 (0.28252) Boundary_loss: 0.012936 (0.012910) Loss: 0.24526 (0.29543) +2025-08-23,17:20:56 | INFO | Train Epoch: 8 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.26565 (0.28247) Boundary_loss: 0.012941 (0.012910) Loss: 0.27859 (0.29538) +2025-08-23,17:21:54 | INFO | Train Epoch: 8 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.25069 (0.28238) Boundary_loss: 0.012955 (0.012910) Loss: 0.26364 (0.29529) +2025-08-23,17:22:53 | INFO | Train Epoch: 8 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.32249 (0.28249) Boundary_loss: 0.012882 (0.012910) Loss: 0.33537 (0.29540) +2025-08-23,17:23:52 | INFO | Train Epoch: 8 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.25556 (0.28241) Boundary_loss: 0.012900 (0.012910) Loss: 0.26846 (0.29532) +2025-08-23,17:24:51 | INFO | Train Epoch: 8 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.31422 (0.28251) Boundary_loss: 0.012968 (0.012910) Loss: 0.32718 (0.29542) +2025-08-23,17:25:49 | INFO | Train Epoch: 8 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.28931 (0.28253) Boundary_loss: 0.012914 (0.012910) Loss: 0.30223 (0.29544) +2025-08-23,17:26:48 | INFO | Train Epoch: 8 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.28832 (0.28254) Boundary_loss: 0.013005 (0.012910) Loss: 0.30133 (0.29545) +2025-08-23,17:27:47 | INFO | Train Epoch: 8 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.26167 (0.28248) Boundary_loss: 0.012888 (0.012910) Loss: 0.27455 (0.29539) +2025-08-23,17:28:45 | INFO | Train Epoch: 8 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.29257 (0.28251) Boundary_loss: 0.012931 (0.012910) Loss: 0.30550 (0.29542) +2025-08-23,17:29:44 | INFO | Train Epoch: 8 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.24489 (0.28240) Boundary_loss: 0.012924 (0.012910) Loss: 0.25781 (0.29532) +2025-08-23,17:30:43 | INFO | Train Epoch: 8 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.29024 (0.28243) Boundary_loss: 0.012875 (0.012910) Loss: 0.30312 (0.29534) +2025-08-23,17:31:42 | INFO | Train Epoch: 8 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.023 Boundary Ratio: 0.097 Contrastive_loss: 0.30338 (0.28249) Boundary_loss: 0.012902 (0.012910) Loss: 0.31628 (0.29540) +2025-08-23,17:32:40 | INFO | Train Epoch: 8 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.33936 (0.28265) Boundary_loss: 0.012972 (0.012910) Loss: 0.35233 (0.29556) +2025-08-23,17:33:39 | INFO | Train Epoch: 8 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.28743 (0.28266) Boundary_loss: 0.012907 (0.012910) Loss: 0.30034 (0.29557) +2025-08-23,17:34:38 | INFO | Train Epoch: 8 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.596 Boundary Ratio: 0.100 Contrastive_loss: 0.32592 (0.28279) Boundary_loss: 0.012861 (0.012910) Loss: 0.33878 (0.29570) +2025-08-23,17:35:36 | INFO | Train Epoch: 8 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.527 Boundary Ratio: 0.100 Contrastive_loss: 0.33027 (0.28292) Boundary_loss: 0.012912 (0.012910) Loss: 0.34318 (0.29583) +2025-08-23,17:36:35 | INFO | Train Epoch: 8 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.23716 (0.28279) Boundary_loss: 0.012838 (0.012910) Loss: 0.25000 (0.29570) +2025-08-23,17:37:34 | INFO | Train Epoch: 8 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.25489 (0.28271) Boundary_loss: 0.012740 (0.012910) Loss: 0.26763 (0.29562) +2025-08-23,17:38:32 | INFO | Train Epoch: 8 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.26306 (0.28266) Boundary_loss: 0.012912 (0.012910) Loss: 0.27597 (0.29557) +2025-08-23,17:39:31 | INFO | Train Epoch: 8 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.20375 (0.28244) Boundary_loss: 0.012922 (0.012910) Loss: 0.21667 (0.29535) +2025-08-23,17:40:30 | INFO | Train Epoch: 8 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.32947 (0.28257) Boundary_loss: 0.012912 (0.012910) Loss: 0.34238 (0.29548) +2025-08-23,17:41:28 | INFO | Train Epoch: 8 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.30852 (0.28264) Boundary_loss: 0.012863 (0.012910) Loss: 0.32138 (0.29555) +2025-08-23,17:42:27 | INFO | Train Epoch: 8 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.26318 (0.28259) Boundary_loss: 0.012901 (0.012910) Loss: 0.27608 (0.29550) +2025-08-23,17:43:26 | INFO | Train Epoch: 8 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.33235 (0.28272) Boundary_loss: 0.013030 (0.012910) Loss: 0.34538 (0.29563) +2025-08-23,17:44:24 | INFO | Train Epoch: 8 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.33101 (0.28286) Boundary_loss: 0.012824 (0.012910) Loss: 0.34384 (0.29577) +2025-08-23,17:45:23 | INFO | Train Epoch: 8 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.23664 (0.28273) Boundary_loss: 0.012909 (0.012910) Loss: 0.24955 (0.29564) +2025-08-23,17:46:22 | INFO | Train Epoch: 8 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.25617 (0.28266) Boundary_loss: 0.013009 (0.012910) Loss: 0.26918 (0.29557) +2025-08-23,17:47:21 | INFO | Train Epoch: 8 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.31672 (0.28275) Boundary_loss: 0.012907 (0.012910) Loss: 0.32963 (0.29566) +2025-08-23,17:48:19 | INFO | Train Epoch: 8 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.28587 (0.28276) Boundary_loss: 0.012964 (0.012910) Loss: 0.29883 (0.29567) +2025-08-23,17:49:18 | INFO | Train Epoch: 8 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.18391 (0.28249) Boundary_loss: 0.012934 (0.012910) Loss: 0.19684 (0.29540) +2025-08-23,17:50:17 | INFO | Train Epoch: 8 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.33752 (0.28264) Boundary_loss: 0.012966 (0.012910) Loss: 0.35049 (0.29555) +2025-08-23,17:51:15 | INFO | Train Epoch: 8 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.22875 (0.28249) Boundary_loss: 0.012954 (0.012910) Loss: 0.24170 (0.29540) +2025-08-23,17:52:14 | INFO | Train Epoch: 8 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.26417 (0.28244) Boundary_loss: 0.012941 (0.012910) Loss: 0.27711 (0.29535) +2025-08-23,17:53:12 | INFO | Train Epoch: 8 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.39505 (0.28275) Boundary_loss: 0.012838 (0.012910) Loss: 0.40789 (0.29566) +2025-08-23,17:54:11 | INFO | Train Epoch: 8 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.22153 (0.28258) Boundary_loss: 0.012837 (0.012910) Loss: 0.23437 (0.29549) +2025-08-23,17:55:10 | INFO | Train Epoch: 8 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.31457 (0.28267) Boundary_loss: 0.012908 (0.012910) Loss: 0.32748 (0.29558) +2025-08-23,17:56:08 | INFO | Train Epoch: 8 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.30196 (0.28272) Boundary_loss: 0.012956 (0.012910) Loss: 0.31491 (0.29563) +2025-08-23,17:57:07 | INFO | Train Epoch: 8 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.27880 (0.28271) Boundary_loss: 0.012891 (0.012910) Loss: 0.29169 (0.29562) +2025-08-23,17:58:05 | INFO | Train Epoch: 8 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.598 Boundary Ratio: 0.100 Contrastive_loss: 0.28193 (0.28271) Boundary_loss: 0.012914 (0.012910) Loss: 0.29485 (0.29562) +2025-08-23,17:59:04 | INFO | Train Epoch: 8 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.30953 (0.28278) Boundary_loss: 0.012924 (0.012910) Loss: 0.32246 (0.29569) +2025-08-23,18:00:03 | INFO | Train Epoch: 8 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.31336 (0.28286) Boundary_loss: 0.012894 (0.012910) Loss: 0.32625 (0.29577) +2025-08-23,18:01:01 | INFO | Train Epoch: 8 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.34967 (0.28303) Boundary_loss: 0.012955 (0.012910) Loss: 0.36263 (0.29594) +2025-08-23,18:02:00 | INFO | Train Epoch: 8 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.29851 (0.28307) Boundary_loss: 0.012980 (0.012910) Loss: 0.31149 (0.29599) +2025-08-23,18:02:58 | INFO | Train Epoch: 8 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.25989 (0.28301) Boundary_loss: 0.012889 (0.012910) Loss: 0.27277 (0.29592) +2025-08-23,18:03:57 | INFO | Train Epoch: 8 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.21383 (0.28283) Boundary_loss: 0.012902 (0.012910) Loss: 0.22673 (0.29574) +2025-08-23,18:04:56 | INFO | Train Epoch: 8 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.26136 (0.28278) Boundary_loss: 0.012828 (0.012910) Loss: 0.27419 (0.29569) +2025-08-23,18:05:54 | INFO | Train Epoch: 8 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.25644 (0.28271) Boundary_loss: 0.012949 (0.012910) Loss: 0.26939 (0.29562) +2025-08-23,18:06:53 | INFO | Train Epoch: 8 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.574 Boundary Ratio: 0.100 Contrastive_loss: 0.32118 (0.28281) Boundary_loss: 0.012994 (0.012910) Loss: 0.33418 (0.29572) +2025-08-23,18:07:52 | INFO | Train Epoch: 8 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.28435 (0.28281) Boundary_loss: 0.012890 (0.012910) Loss: 0.29724 (0.29572) +2025-08-23,18:08:50 | INFO | Train Epoch: 8 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.26748 (0.28277) Boundary_loss: 0.012908 (0.012910) Loss: 0.28039 (0.29568) +2025-08-23,18:09:49 | INFO | Train Epoch: 8 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.27272 (0.28275) Boundary_loss: 0.012946 (0.012911) Loss: 0.28567 (0.29566) +2025-08-23,18:10:47 | INFO | Train Epoch: 8 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.22756 (0.28261) Boundary_loss: 0.012863 (0.012910) Loss: 0.24042 (0.29552) +2025-08-23,18:11:46 | INFO | Train Epoch: 8 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.37123 (0.28283) Boundary_loss: 0.012944 (0.012910) Loss: 0.38418 (0.29574) +2025-08-23,18:12:45 | INFO | Train Epoch: 8 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.28957 (0.28285) Boundary_loss: 0.012874 (0.012910) Loss: 0.30244 (0.29576) +2025-08-23,18:13:43 | INFO | Train Epoch: 8 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.30880 (0.28292) Boundary_loss: 0.012835 (0.012910) Loss: 0.32164 (0.29583) +2025-08-23,18:14:42 | INFO | Train Epoch: 8 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.26096 (0.28286) Boundary_loss: 0.012905 (0.012910) Loss: 0.27387 (0.29577) +2025-08-23,18:15:40 | INFO | Train Epoch: 8 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.26996 (0.28283) Boundary_loss: 0.012838 (0.012910) Loss: 0.28280 (0.29574) +2025-08-23,18:16:39 | INFO | Train Epoch: 8 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.482 Boundary Ratio: 0.099 Contrastive_loss: 0.30167 (0.28287) Boundary_loss: 0.012869 (0.012910) Loss: 0.31454 (0.29578) +2025-08-23,18:17:38 | INFO | Train Epoch: 8 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.28470 (0.28288) Boundary_loss: 0.012979 (0.012910) Loss: 0.29768 (0.29579) +2025-08-23,18:18:36 | INFO | Train Epoch: 8 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.20688 (0.28269) Boundary_loss: 0.012993 (0.012910) Loss: 0.21987 (0.29560) +2025-08-23,18:19:35 | INFO | Train Epoch: 8 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.32304 (0.28279) Boundary_loss: 0.012891 (0.012910) Loss: 0.33593 (0.29570) +2025-08-23,18:20:34 | INFO | Train Epoch: 8 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.26774 (0.28275) Boundary_loss: 0.012864 (0.012910) Loss: 0.28061 (0.29566) +2025-08-23,18:21:32 | INFO | Train Epoch: 8 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.31584 (0.28283) Boundary_loss: 0.012924 (0.012910) Loss: 0.32876 (0.29574) +2025-08-23,18:22:31 | INFO | Train Epoch: 8 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.36985 (0.28305) Boundary_loss: 0.012923 (0.012910) Loss: 0.38277 (0.29596) +2025-08-23,18:23:30 | INFO | Train Epoch: 8 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.652 Boundary Ratio: 0.100 Contrastive_loss: 0.31131 (0.28312) Boundary_loss: 0.012902 (0.012910) Loss: 0.32421 (0.29603) +2025-08-23,18:24:28 | INFO | Train Epoch: 8 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.27703 (0.28311) Boundary_loss: 0.012989 (0.012910) Loss: 0.29002 (0.29602) +2025-08-23,18:25:27 | INFO | Train Epoch: 8 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.25409 (0.28303) Boundary_loss: 0.012872 (0.012910) Loss: 0.26696 (0.29594) +2025-08-23,18:26:25 | INFO | Train Epoch: 8 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.26341 (0.28299) Boundary_loss: 0.012989 (0.012910) Loss: 0.27640 (0.29590) +2025-08-23,18:27:24 | INFO | Train Epoch: 8 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.27849 (0.28298) Boundary_loss: 0.012904 (0.012910) Loss: 0.29140 (0.29589) +2025-08-23,18:28:23 | INFO | Train Epoch: 8 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.38178 (0.28322) Boundary_loss: 0.012893 (0.012910) Loss: 0.39467 (0.29613) +2025-08-23,18:29:21 | INFO | Train Epoch: 8 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.19211 (0.28299) Boundary_loss: 0.012911 (0.012910) Loss: 0.20502 (0.29590) +2025-08-23,18:30:20 | INFO | Train Epoch: 8 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.31557 (0.28307) Boundary_loss: 0.012846 (0.012910) Loss: 0.32842 (0.29598) +2025-08-23,18:31:19 | INFO | Train Epoch: 8 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.28480 (0.28308) Boundary_loss: 0.012916 (0.012910) Loss: 0.29772 (0.29599) +2025-08-23,18:32:17 | INFO | Train Epoch: 8 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.26849 (0.28304) Boundary_loss: 0.012866 (0.012910) Loss: 0.28136 (0.29595) +2025-08-23,18:33:16 | INFO | Train Epoch: 8 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.027 Boundary Ratio: 0.097 Contrastive_loss: 0.32240 (0.28314) Boundary_loss: 0.012913 (0.012910) Loss: 0.33531 (0.29605) +2025-08-23,18:34:14 | INFO | Train Epoch: 8 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.30206 (0.28318) Boundary_loss: 0.013004 (0.012910) Loss: 0.31507 (0.29609) +2025-08-23,18:35:13 | INFO | Train Epoch: 8 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.34035 (0.28332) Boundary_loss: 0.012880 (0.012910) Loss: 0.35323 (0.29623) +2025-08-23,18:36:12 | INFO | Train Epoch: 8 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.30305 (0.28337) Boundary_loss: 0.012888 (0.012910) Loss: 0.31594 (0.29628) +2025-08-23,18:37:10 | INFO | Train Epoch: 8 [21299712/26365952 (81%)] Avg Boundaries (per batch): 18.951 Boundary Ratio: 0.097 Contrastive_loss: 0.31173 (0.28344) Boundary_loss: 0.012906 (0.012910) Loss: 0.32464 (0.29635) +2025-08-23,18:38:09 | INFO | Train Epoch: 8 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.27819 (0.28342) Boundary_loss: 0.012873 (0.012910) Loss: 0.29106 (0.29633) +2025-08-23,18:39:08 | INFO | Train Epoch: 8 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.28591 (0.28343) Boundary_loss: 0.012989 (0.012910) Loss: 0.29890 (0.29634) +2025-08-23,18:40:06 | INFO | Train Epoch: 8 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.26403 (0.28338) Boundary_loss: 0.012899 (0.012910) Loss: 0.27693 (0.29629) +2025-08-23,18:41:05 | INFO | Train Epoch: 8 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.33321 (0.28350) Boundary_loss: 0.012944 (0.012910) Loss: 0.34615 (0.29641) +2025-08-23,18:42:04 | INFO | Train Epoch: 8 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.29659 (0.28353) Boundary_loss: 0.012951 (0.012910) Loss: 0.30954 (0.29644) +2025-08-23,18:43:02 | INFO | Train Epoch: 8 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.24012 (0.28343) Boundary_loss: 0.012961 (0.012911) Loss: 0.25308 (0.29634) +2025-08-23,18:44:01 | INFO | Train Epoch: 8 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.30911 (0.28349) Boundary_loss: 0.012879 (0.012911) Loss: 0.32199 (0.29640) +2025-08-23,18:45:00 | INFO | Train Epoch: 8 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.30352 (0.28354) Boundary_loss: 0.012855 (0.012910) Loss: 0.31638 (0.29645) +2025-08-23,18:45:58 | INFO | Train Epoch: 8 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.24120 (0.28344) Boundary_loss: 0.012923 (0.012910) Loss: 0.25412 (0.29635) +2025-08-23,18:46:57 | INFO | Train Epoch: 8 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.27203 (0.28341) Boundary_loss: 0.013033 (0.012911) Loss: 0.28506 (0.29632) +2025-08-23,18:47:55 | INFO | Train Epoch: 8 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.28033 (0.28341) Boundary_loss: 0.012793 (0.012910) Loss: 0.29312 (0.29632) +2025-08-23,18:48:54 | INFO | Train Epoch: 8 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.31011 (0.28347) Boundary_loss: 0.012854 (0.012910) Loss: 0.32296 (0.29638) +2025-08-23,18:49:53 | INFO | Train Epoch: 8 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.29809 (0.28350) Boundary_loss: 0.012929 (0.012910) Loss: 0.31102 (0.29641) +2025-08-23,18:50:51 | INFO | Train Epoch: 8 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.25441 (0.28343) Boundary_loss: 0.012962 (0.012910) Loss: 0.26738 (0.29634) +2025-08-23,18:51:50 | INFO | Train Epoch: 8 [22067712/26365952 (84%)] Avg Boundaries (per batch): 18.910 Boundary Ratio: 0.096 Contrastive_loss: 0.24410 (0.28334) Boundary_loss: 0.012886 (0.012910) Loss: 0.25698 (0.29625) +2025-08-23,18:52:49 | INFO | Train Epoch: 8 [22118912/26365952 (84%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 0.39648 (0.28360) Boundary_loss: 0.012859 (0.012910) Loss: 0.40934 (0.29651) +2025-08-23,18:53:47 | INFO | Train Epoch: 8 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.35858 (0.28378) Boundary_loss: 0.012998 (0.012911) Loss: 0.37158 (0.29669) +2025-08-23,18:54:46 | INFO | Train Epoch: 8 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.33201 (0.28389) Boundary_loss: 0.012975 (0.012911) Loss: 0.34499 (0.29680) +2025-08-23,18:55:44 | INFO | Train Epoch: 8 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.33726 (0.28401) Boundary_loss: 0.012934 (0.012911) Loss: 0.35020 (0.29692) +2025-08-23,18:56:43 | INFO | Train Epoch: 8 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.22538 (0.28388) Boundary_loss: 0.012828 (0.012911) Loss: 0.23821 (0.29679) +2025-08-23,18:57:41 | INFO | Train Epoch: 8 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.28171 (0.28387) Boundary_loss: 0.012794 (0.012910) Loss: 0.29450 (0.29678) +2025-08-23,18:58:40 | INFO | Train Epoch: 8 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.28769 (0.28388) Boundary_loss: 0.012851 (0.012910) Loss: 0.30054 (0.29679) +2025-08-23,18:59:38 | INFO | Train Epoch: 8 [22477312/26365952 (85%)] Avg Boundaries (per batch): 18.928 Boundary Ratio: 0.097 Contrastive_loss: 0.29974 (0.28392) Boundary_loss: 0.012968 (0.012910) Loss: 0.31271 (0.29683) +2025-08-23,19:00:37 | INFO | Train Epoch: 8 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.30379 (0.28396) Boundary_loss: 0.013016 (0.012910) Loss: 0.31680 (0.29687) +2025-08-23,19:01:36 | INFO | Train Epoch: 8 [22579712/26365952 (86%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.21668 (0.28381) Boundary_loss: 0.012947 (0.012911) Loss: 0.22963 (0.29672) +2025-08-23,19:02:34 | INFO | Train Epoch: 8 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.23878 (0.28371) Boundary_loss: 0.012836 (0.012910) Loss: 0.25161 (0.29662) +2025-08-23,19:03:33 | INFO | Train Epoch: 8 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.25102 (0.28363) Boundary_loss: 0.012913 (0.012910) Loss: 0.26393 (0.29654) +2025-08-23,19:04:31 | INFO | Train Epoch: 8 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.32246 (0.28372) Boundary_loss: 0.012825 (0.012910) Loss: 0.33529 (0.29663) +2025-08-23,19:05:30 | INFO | Train Epoch: 8 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.23545 (0.28361) Boundary_loss: 0.012913 (0.012910) Loss: 0.24836 (0.29652) +2025-08-23,19:06:29 | INFO | Train Epoch: 8 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.28013 (0.28360) Boundary_loss: 0.013029 (0.012910) Loss: 0.29316 (0.29652) +2025-08-23,19:07:27 | INFO | Train Epoch: 8 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.23629 (0.28350) Boundary_loss: 0.012888 (0.012910) Loss: 0.24917 (0.29641) +2025-08-23,19:08:26 | INFO | Train Epoch: 8 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.641 Boundary Ratio: 0.100 Contrastive_loss: 0.25959 (0.28345) Boundary_loss: 0.012962 (0.012911) Loss: 0.27255 (0.29636) +2025-08-23,19:09:25 | INFO | Train Epoch: 8 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.22796 (0.28332) Boundary_loss: 0.012853 (0.012910) Loss: 0.24082 (0.29623) +2025-08-23,19:10:23 | INFO | Train Epoch: 8 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.25076 (0.28325) Boundary_loss: 0.012882 (0.012910) Loss: 0.26365 (0.29616) +2025-08-23,19:11:22 | INFO | Train Epoch: 8 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.27829 (0.28324) Boundary_loss: 0.012881 (0.012910) Loss: 0.29117 (0.29615) +2025-08-23,19:12:21 | INFO | Train Epoch: 8 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.30037 (0.28328) Boundary_loss: 0.012949 (0.012910) Loss: 0.31332 (0.29619) +2025-08-23,19:13:19 | INFO | Train Epoch: 8 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.31604 (0.28335) Boundary_loss: 0.012895 (0.012910) Loss: 0.32893 (0.29626) +2025-08-23,19:14:18 | INFO | Train Epoch: 8 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.27333 (0.28333) Boundary_loss: 0.012918 (0.012910) Loss: 0.28625 (0.29624) +2025-08-23,19:15:17 | INFO | Train Epoch: 8 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.27964 (0.28332) Boundary_loss: 0.012896 (0.012910) Loss: 0.29254 (0.29623) +2025-08-23,19:16:15 | INFO | Train Epoch: 8 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.654 Boundary Ratio: 0.100 Contrastive_loss: 0.31885 (0.28340) Boundary_loss: 0.012879 (0.012910) Loss: 0.33172 (0.29631) +2025-08-23,19:17:14 | INFO | Train Epoch: 8 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.33124 (0.28350) Boundary_loss: 0.012908 (0.012910) Loss: 0.34414 (0.29641) +2025-08-23,19:18:13 | INFO | Train Epoch: 8 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.27432 (0.28348) Boundary_loss: 0.012895 (0.012910) Loss: 0.28721 (0.29639) +2025-08-23,19:19:11 | INFO | Train Epoch: 8 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.32480 (0.28357) Boundary_loss: 0.012856 (0.012910) Loss: 0.33766 (0.29648) +2025-08-23,19:20:10 | INFO | Train Epoch: 8 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.34070 (0.28370) Boundary_loss: 0.012899 (0.012910) Loss: 0.35360 (0.29661) +2025-08-23,19:21:09 | INFO | Train Epoch: 8 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.30087 (0.28373) Boundary_loss: 0.012895 (0.012910) Loss: 0.31376 (0.29664) +2025-08-23,19:22:07 | INFO | Train Epoch: 8 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.28552 (0.28374) Boundary_loss: 0.012849 (0.012910) Loss: 0.29837 (0.29665) +2025-08-23,19:23:06 | INFO | Train Epoch: 8 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.28542 (0.28374) Boundary_loss: 0.012929 (0.012910) Loss: 0.29835 (0.29665) +2025-08-23,19:24:05 | INFO | Train Epoch: 8 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.29181 (0.28376) Boundary_loss: 0.012780 (0.012910) Loss: 0.30459 (0.29667) +2025-08-23,19:25:03 | INFO | Train Epoch: 8 [23808512/26365952 (90%)] Avg Boundaries (per batch): 18.904 Boundary Ratio: 0.096 Contrastive_loss: 0.31564 (0.28383) Boundary_loss: 0.012922 (0.012910) Loss: 0.32857 (0.29674) +2025-08-23,19:26:02 | INFO | Train Epoch: 8 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.32601 (0.28392) Boundary_loss: 0.012862 (0.012910) Loss: 0.33887 (0.29683) +2025-08-23,19:27:01 | INFO | Train Epoch: 8 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.26684 (0.28388) Boundary_loss: 0.012815 (0.012909) Loss: 0.27965 (0.29679) +2025-08-23,19:27:59 | INFO | Train Epoch: 8 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.29783 (0.28391) Boundary_loss: 0.012987 (0.012910) Loss: 0.31081 (0.29682) +2025-08-23,19:28:58 | INFO | Train Epoch: 8 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.32436 (0.28400) Boundary_loss: 0.012851 (0.012909) Loss: 0.33721 (0.29690) +2025-08-23,19:29:57 | INFO | Train Epoch: 8 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.32999 (0.28409) Boundary_loss: 0.012841 (0.012909) Loss: 0.34283 (0.29700) +2025-08-23,19:30:55 | INFO | Train Epoch: 8 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.20822 (0.28393) Boundary_loss: 0.012906 (0.012909) Loss: 0.22113 (0.29684) +2025-08-23,19:31:54 | INFO | Train Epoch: 8 [24166912/26365952 (92%)] Avg Boundaries (per batch): 18.865 Boundary Ratio: 0.096 Contrastive_loss: 0.29649 (0.28396) Boundary_loss: 0.012906 (0.012909) Loss: 0.30940 (0.29687) +2025-08-23,19:32:53 | INFO | Train Epoch: 8 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.31158 (0.28402) Boundary_loss: 0.012841 (0.012909) Loss: 0.32442 (0.29693) +2025-08-23,19:33:51 | INFO | Train Epoch: 8 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.30472 (0.28406) Boundary_loss: 0.012912 (0.012909) Loss: 0.31764 (0.29697) +2025-08-23,19:34:50 | INFO | Train Epoch: 8 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.30207 (0.28410) Boundary_loss: 0.012781 (0.012909) Loss: 0.31485 (0.29701) +2025-08-23,19:35:49 | INFO | Train Epoch: 8 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.31153 (0.28416) Boundary_loss: 0.012989 (0.012909) Loss: 0.32451 (0.29706) +2025-08-23,19:36:47 | INFO | Train Epoch: 8 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.27385 (0.28413) Boundary_loss: 0.012867 (0.012909) Loss: 0.28672 (0.29704) +2025-08-23,19:37:46 | INFO | Train Epoch: 8 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.37127 (0.28432) Boundary_loss: 0.012811 (0.012909) Loss: 0.38408 (0.29723) +2025-08-23,19:38:45 | INFO | Train Epoch: 8 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.26471 (0.28428) Boundary_loss: 0.013018 (0.012909) Loss: 0.27773 (0.29718) +2025-08-23,19:39:43 | INFO | Train Epoch: 8 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.32073 (0.28435) Boundary_loss: 0.012903 (0.012909) Loss: 0.33363 (0.29726) +2025-08-23,19:40:42 | INFO | Train Epoch: 8 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.26113 (0.28430) Boundary_loss: 0.012874 (0.012909) Loss: 0.27400 (0.29721) +2025-08-23,19:41:41 | INFO | Train Epoch: 8 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.27595 (0.28429) Boundary_loss: 0.012966 (0.012909) Loss: 0.28892 (0.29719) +2025-08-23,19:42:39 | INFO | Train Epoch: 8 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.30532 (0.28433) Boundary_loss: 0.012822 (0.012909) Loss: 0.31814 (0.29724) +2025-08-23,19:43:38 | INFO | Train Epoch: 8 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.28950 (0.28434) Boundary_loss: 0.012915 (0.012909) Loss: 0.30242 (0.29725) +2025-08-23,19:44:37 | INFO | Train Epoch: 8 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.670 Boundary Ratio: 0.100 Contrastive_loss: 0.27143 (0.28431) Boundary_loss: 0.012897 (0.012909) Loss: 0.28433 (0.29722) +2025-08-23,19:45:36 | INFO | Train Epoch: 8 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.27161 (0.28429) Boundary_loss: 0.012845 (0.012909) Loss: 0.28446 (0.29720) +2025-08-23,19:46:34 | INFO | Train Epoch: 8 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.27923 (0.28428) Boundary_loss: 0.012902 (0.012909) Loss: 0.29213 (0.29719) +2025-08-23,19:47:33 | INFO | Train Epoch: 8 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.24710 (0.28420) Boundary_loss: 0.012860 (0.012909) Loss: 0.25996 (0.29711) +2025-08-23,19:48:31 | INFO | Train Epoch: 8 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.26122 (0.28415) Boundary_loss: 0.012837 (0.012908) Loss: 0.27406 (0.29706) +2025-08-23,19:49:30 | INFO | Train Epoch: 8 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.28802 (0.28416) Boundary_loss: 0.012934 (0.012908) Loss: 0.30096 (0.29707) +2025-08-23,19:50:29 | INFO | Train Epoch: 8 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.25127 (0.28409) Boundary_loss: 0.012956 (0.012909) Loss: 0.26422 (0.29700) +2025-08-23,19:51:27 | INFO | Train Epoch: 8 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.570 Boundary Ratio: 0.100 Contrastive_loss: 0.26715 (0.28406) Boundary_loss: 0.012904 (0.012909) Loss: 0.28005 (0.29697) +2025-08-23,19:52:26 | INFO | Train Epoch: 8 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.26761 (0.28403) Boundary_loss: 0.012807 (0.012908) Loss: 0.28042 (0.29694) +2025-08-23,19:53:25 | INFO | Train Epoch: 8 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.31359 (0.28409) Boundary_loss: 0.012905 (0.012908) Loss: 0.32650 (0.29700) +2025-08-23,19:54:23 | INFO | Train Epoch: 8 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.28655 (0.28409) Boundary_loss: 0.012786 (0.012908) Loss: 0.29933 (0.29700) +2025-08-23,19:55:22 | INFO | Train Epoch: 8 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.28099 (0.28409) Boundary_loss: 0.013077 (0.012908) Loss: 0.29407 (0.29699) +2025-08-23,19:56:21 | INFO | Train Epoch: 8 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.25988 (0.28404) Boundary_loss: 0.012975 (0.012909) Loss: 0.27286 (0.29695) +2025-08-23,19:57:19 | INFO | Train Epoch: 8 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.32254 (0.28411) Boundary_loss: 0.012992 (0.012909) Loss: 0.33553 (0.29702) +2025-08-23,19:58:18 | INFO | Train Epoch: 8 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 0.26626 (0.28408) Boundary_loss: 0.012888 (0.012909) Loss: 0.27915 (0.29699) +2025-08-23,19:59:17 | INFO | Train Epoch: 8 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.28032 (0.28407) Boundary_loss: 0.012861 (0.012909) Loss: 0.29318 (0.29698) +2025-08-23,20:00:15 | INFO | Train Epoch: 8 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.35940 (0.28422) Boundary_loss: 0.012831 (0.012908) Loss: 0.37223 (0.29713) +2025-08-23,20:01:14 | INFO | Train Epoch: 8 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.25524 (0.28416) Boundary_loss: 0.012854 (0.012908) Loss: 0.26810 (0.29707) +2025-08-23,20:02:13 | INFO | Train Epoch: 8 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.27601 (0.28415) Boundary_loss: 0.012888 (0.012908) Loss: 0.28890 (0.29706) +2025-08-23,20:03:11 | INFO | Train Epoch: 8 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.551 Boundary Ratio: 0.100 Contrastive_loss: 0.24349 (0.28407) Boundary_loss: 0.012874 (0.012908) Loss: 0.25636 (0.29698) +2025-08-23,20:04:10 | INFO | Train Epoch: 8 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.26695 (0.28403) Boundary_loss: 0.012901 (0.012908) Loss: 0.27985 (0.29694) +2025-08-23,20:05:09 | INFO | Train Epoch: 8 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.23132 (0.28393) Boundary_loss: 0.012861 (0.012908) Loss: 0.24418 (0.29684) +2025-08-23,20:06:07 | INFO | Train Epoch: 8 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.30285 (0.28397) Boundary_loss: 0.012901 (0.012908) Loss: 0.31575 (0.29687) +2025-08-23,20:07:06 | INFO | Train Epoch: 8 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.25899 (0.28392) Boundary_loss: 0.012892 (0.012908) Loss: 0.27188 (0.29683) +2025-08-23,20:08:05 | INFO | Train Epoch: 8 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.24568 (0.28384) Boundary_loss: 0.012990 (0.012908) Loss: 0.25867 (0.29675) +2025-08-23,20:09:03 | INFO | Train Epoch: 8 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.26281 (0.28380) Boundary_loss: 0.012814 (0.012908) Loss: 0.27563 (0.29671) +2025-08-23,20:10:02 | INFO | Train Epoch: 8 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.29956 (0.28383) Boundary_loss: 0.012830 (0.012908) Loss: 0.31239 (0.29674) +2025-08-23,20:11:01 | INFO | Train Epoch: 8 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.26005 (0.28379) Boundary_loss: 0.012800 (0.012908) Loss: 0.27285 (0.29669) +2025-08-23,20:11:59 | INFO | Train Epoch: 8 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.27499 (0.28377) Boundary_loss: 0.012918 (0.012908) Loss: 0.28791 (0.29668) +2025-08-23,20:12:58 | INFO | Train Epoch: 8 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.28079 (0.28376) Boundary_loss: 0.012886 (0.012908) Loss: 0.29368 (0.29667) +2025-08-23,20:13:54 | INFO | Train Epoch: 8 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.29283 (0.28378) Boundary_loss: 0.012861 (0.012908) Loss: 0.30569 (0.29669) +2025-08-23,20:13:54 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-23,20:13:54 | INFO | [Epoch 8] Average Step Time: 0.590s | Average GPU Memory: 33.5 GB +2025-08-23,20:13:54 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-23,20:13:54 | INFO | Starting zero-shot imagenet. +2025-08-23,20:13:54 | INFO | Building zero-shot classifier +2025-08-23,20:14:03 | INFO | Using classifier +2025-08-23,20:14:47 | INFO | Finished zero-shot imagenet. +2025-08-23,20:14:47 | INFO | Eval Epoch: 9 imagenet-zeroshot-val-top1: 0.2893 imagenet-zeroshot-val-top5: 0.5516 +2025-08-23,20:14:48 | INFO | Start epoch 9 +2025-08-23,20:14:51 | INFO | Train Epoch: 9 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.26677 (0.26677) Boundary_loss: 0.012897 (0.012897) Loss: 0.27967 (0.27967) +2025-08-23,20:15:50 | INFO | Train Epoch: 9 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.25224 (0.25951) Boundary_loss: 0.012883 (0.012890) Loss: 0.26512 (0.27239) +2025-08-23,20:16:48 | INFO | Train Epoch: 9 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.25648 (0.25850) Boundary_loss: 0.012913 (0.012897) Loss: 0.26939 (0.27139) +2025-08-23,20:17:47 | INFO | Train Epoch: 9 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.22928 (0.25119) Boundary_loss: 0.012983 (0.012919) Loss: 0.24227 (0.26411) +2025-08-23,20:18:46 | INFO | Train Epoch: 9 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.23243 (0.24744) Boundary_loss: 0.012941 (0.012923) Loss: 0.24537 (0.26036) +2025-08-23,20:19:45 | INFO | Train Epoch: 9 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.25881 (0.24933) Boundary_loss: 0.012862 (0.012913) Loss: 0.27167 (0.26225) +2025-08-23,20:20:43 | INFO | Train Epoch: 9 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.28247 (0.25407) Boundary_loss: 0.012980 (0.012923) Loss: 0.29545 (0.26699) +2025-08-23,20:21:42 | INFO | Train Epoch: 9 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.32265 (0.26264) Boundary_loss: 0.012828 (0.012911) Loss: 0.33548 (0.27555) +2025-08-23,20:22:41 | INFO | Train Epoch: 9 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.23295 (0.25934) Boundary_loss: 0.012877 (0.012907) Loss: 0.24582 (0.27225) +2025-08-23,20:23:40 | INFO | Train Epoch: 9 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.21530 (0.25494) Boundary_loss: 0.012880 (0.012904) Loss: 0.22818 (0.26784) +2025-08-23,20:24:39 | INFO | Train Epoch: 9 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.28990 (0.25812) Boundary_loss: 0.012759 (0.012891) Loss: 0.30266 (0.27101) +2025-08-23,20:25:37 | INFO | Train Epoch: 9 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.26366 (0.25858) Boundary_loss: 0.012777 (0.012882) Loss: 0.27644 (0.27146) +2025-08-23,20:26:36 | INFO | Train Epoch: 9 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.28548 (0.26065) Boundary_loss: 0.012917 (0.012884) Loss: 0.29839 (0.27353) +2025-08-23,20:27:35 | INFO | Train Epoch: 9 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.20032 (0.25634) Boundary_loss: 0.012922 (0.012887) Loss: 0.21324 (0.26923) +2025-08-23,20:28:34 | INFO | Train Epoch: 9 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.22156 (0.25402) Boundary_loss: 0.012829 (0.012883) Loss: 0.23439 (0.26690) +2025-08-23,20:29:32 | INFO | Train Epoch: 9 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 18.906 Boundary Ratio: 0.096 Contrastive_loss: 0.23706 (0.25296) Boundary_loss: 0.012938 (0.012887) Loss: 0.24999 (0.26585) +2025-08-23,20:30:31 | INFO | Train Epoch: 9 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.30322 (0.25592) Boundary_loss: 0.012837 (0.012884) Loss: 0.31606 (0.26880) +2025-08-23,20:31:30 | INFO | Train Epoch: 9 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.27953 (0.25723) Boundary_loss: 0.013003 (0.012890) Loss: 0.29253 (0.27012) +2025-08-23,20:32:29 | INFO | Train Epoch: 9 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.24375 (0.25652) Boundary_loss: 0.012903 (0.012891) Loss: 0.25666 (0.26941) +2025-08-23,20:33:28 | INFO | Train Epoch: 9 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.27519 (0.25745) Boundary_loss: 0.012885 (0.012891) Loss: 0.28807 (0.27034) +2025-08-23,20:34:26 | INFO | Train Epoch: 9 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.18178 (0.25385) Boundary_loss: 0.012885 (0.012890) Loss: 0.19466 (0.26674) +2025-08-23,20:35:25 | INFO | Train Epoch: 9 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.27166 (0.25466) Boundary_loss: 0.012822 (0.012887) Loss: 0.28448 (0.26755) +2025-08-23,20:36:24 | INFO | Train Epoch: 9 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.19371 (0.25201) Boundary_loss: 0.012893 (0.012888) Loss: 0.20661 (0.26490) +2025-08-23,20:37:23 | INFO | Train Epoch: 9 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.24907 (0.25189) Boundary_loss: 0.012845 (0.012886) Loss: 0.26192 (0.26477) +2025-08-23,20:38:22 | INFO | Train Epoch: 9 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.24906 (0.25177) Boundary_loss: 0.012914 (0.012887) Loss: 0.26198 (0.26466) +2025-08-23,20:39:20 | INFO | Train Epoch: 9 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.26503 (0.25228) Boundary_loss: 0.012875 (0.012886) Loss: 0.27790 (0.26517) +2025-08-23,20:40:19 | INFO | Train Epoch: 9 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.25068 (0.25222) Boundary_loss: 0.012849 (0.012885) Loss: 0.26353 (0.26511) +2025-08-23,20:41:18 | INFO | Train Epoch: 9 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.34520 (0.25554) Boundary_loss: 0.012932 (0.012887) Loss: 0.35813 (0.26843) +2025-08-23,20:42:17 | INFO | Train Epoch: 9 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.24034 (0.25502) Boundary_loss: 0.012910 (0.012887) Loss: 0.25325 (0.26791) +2025-08-23,20:43:16 | INFO | Train Epoch: 9 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.27953 (0.25584) Boundary_loss: 0.012934 (0.012889) Loss: 0.29247 (0.26873) +2025-08-23,20:44:14 | INFO | Train Epoch: 9 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.25568 (0.25583) Boundary_loss: 0.012881 (0.012889) Loss: 0.26856 (0.26872) +2025-08-23,20:45:13 | INFO | Train Epoch: 9 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.27190 (0.25633) Boundary_loss: 0.012950 (0.012891) Loss: 0.28485 (0.26923) +2025-08-23,20:46:12 | INFO | Train Epoch: 9 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.25360 (0.25625) Boundary_loss: 0.012897 (0.012891) Loss: 0.26650 (0.26914) +2025-08-23,20:47:11 | INFO | Train Epoch: 9 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.27972 (0.25694) Boundary_loss: 0.012945 (0.012892) Loss: 0.29266 (0.26983) +2025-08-23,20:48:10 | INFO | Train Epoch: 9 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.26489 (0.25717) Boundary_loss: 0.012922 (0.012893) Loss: 0.27781 (0.27006) +2025-08-23,20:49:08 | INFO | Train Epoch: 9 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.21738 (0.25606) Boundary_loss: 0.012892 (0.012893) Loss: 0.23027 (0.26896) +2025-08-23,20:50:07 | INFO | Train Epoch: 9 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.590 Boundary Ratio: 0.100 Contrastive_loss: 0.22651 (0.25526) Boundary_loss: 0.012899 (0.012893) Loss: 0.23941 (0.26816) +2025-08-23,20:51:06 | INFO | Train Epoch: 9 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.27771 (0.25586) Boundary_loss: 0.012927 (0.012894) Loss: 0.29063 (0.26875) +2025-08-23,20:52:05 | INFO | Train Epoch: 9 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 18.938 Boundary Ratio: 0.097 Contrastive_loss: 0.31836 (0.25746) Boundary_loss: 0.012858 (0.012893) Loss: 0.33122 (0.27035) +2025-08-23,20:53:04 | INFO | Train Epoch: 9 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.25472 (0.25739) Boundary_loss: 0.012891 (0.012893) Loss: 0.26762 (0.27028) +2025-08-23,20:54:03 | INFO | Train Epoch: 9 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.19174 (0.25579) Boundary_loss: 0.012863 (0.012893) Loss: 0.20461 (0.26868) +2025-08-23,20:55:01 | INFO | Train Epoch: 9 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.23581 (0.25531) Boundary_loss: 0.012855 (0.012892) Loss: 0.24866 (0.26820) +2025-08-23,20:56:00 | INFO | Train Epoch: 9 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.29679 (0.25628) Boundary_loss: 0.012906 (0.012892) Loss: 0.30970 (0.26917) +2025-08-23,20:56:59 | INFO | Train Epoch: 9 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.24704 (0.25607) Boundary_loss: 0.012891 (0.012892) Loss: 0.25993 (0.26896) +2025-08-23,20:57:58 | INFO | Train Epoch: 9 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.29412 (0.25691) Boundary_loss: 0.012842 (0.012891) Loss: 0.30696 (0.26980) +2025-08-23,20:58:57 | INFO | Train Epoch: 9 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.18891 (0.25544) Boundary_loss: 0.012948 (0.012892) Loss: 0.20186 (0.26833) +2025-08-23,20:59:55 | INFO | Train Epoch: 9 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.25740 (0.25548) Boundary_loss: 0.012949 (0.012893) Loss: 0.27035 (0.26837) +2025-08-23,21:00:54 | INFO | Train Epoch: 9 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.21326 (0.25460) Boundary_loss: 0.012968 (0.012895) Loss: 0.22623 (0.26749) +2025-08-23,21:01:53 | INFO | Train Epoch: 9 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.21375 (0.25376) Boundary_loss: 0.012860 (0.012894) Loss: 0.22661 (0.26666) +2025-08-23,21:02:52 | INFO | Train Epoch: 9 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.26512 (0.25399) Boundary_loss: 0.012823 (0.012893) Loss: 0.27794 (0.26688) +2025-08-23,21:03:51 | INFO | Train Epoch: 9 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.21576 (0.25324) Boundary_loss: 0.012929 (0.012893) Loss: 0.22869 (0.26613) +2025-08-23,21:04:49 | INFO | Train Epoch: 9 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.799 Boundary Ratio: 0.101 Contrastive_loss: 0.30958 (0.25432) Boundary_loss: 0.012904 (0.012894) Loss: 0.32249 (0.26722) +2025-08-23,21:05:48 | INFO | Train Epoch: 9 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.26025 (0.25444) Boundary_loss: 0.012956 (0.012895) Loss: 0.27321 (0.26733) +2025-08-23,21:06:47 | INFO | Train Epoch: 9 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.27011 (0.25473) Boundary_loss: 0.012881 (0.012895) Loss: 0.28299 (0.26762) +2025-08-23,21:07:46 | INFO | Train Epoch: 9 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.25788 (0.25478) Boundary_loss: 0.012865 (0.012894) Loss: 0.27075 (0.26768) +2025-08-23,21:08:45 | INFO | Train Epoch: 9 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 0.26695 (0.25500) Boundary_loss: 0.012908 (0.012894) Loss: 0.27986 (0.26790) +2025-08-23,21:09:43 | INFO | Train Epoch: 9 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.24981 (0.25491) Boundary_loss: 0.012918 (0.012895) Loss: 0.26273 (0.26781) +2025-08-23,21:10:42 | INFO | Train Epoch: 9 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.30195 (0.25572) Boundary_loss: 0.012875 (0.012894) Loss: 0.31482 (0.26862) +2025-08-23,21:11:41 | INFO | Train Epoch: 9 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.21973 (0.25511) Boundary_loss: 0.012836 (0.012893) Loss: 0.23257 (0.26800) +2025-08-23,21:12:40 | INFO | Train Epoch: 9 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.15749 (0.25348) Boundary_loss: 0.012829 (0.012892) Loss: 0.17032 (0.26638) +2025-08-23,21:13:38 | INFO | Train Epoch: 9 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.24914 (0.25341) Boundary_loss: 0.012930 (0.012893) Loss: 0.26208 (0.26631) +2025-08-23,21:14:37 | INFO | Train Epoch: 9 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.30793 (0.25429) Boundary_loss: 0.012818 (0.012892) Loss: 0.32075 (0.26718) +2025-08-23,21:15:36 | INFO | Train Epoch: 9 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.28206 (0.25473) Boundary_loss: 0.012909 (0.012892) Loss: 0.29497 (0.26763) +2025-08-23,21:16:35 | INFO | Train Epoch: 9 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.30774 (0.25556) Boundary_loss: 0.012947 (0.012893) Loss: 0.32069 (0.26845) +2025-08-23,21:17:33 | INFO | Train Epoch: 9 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.22800 (0.25514) Boundary_loss: 0.012893 (0.012893) Loss: 0.24090 (0.26803) +2025-08-23,21:18:32 | INFO | Train Epoch: 9 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.28367 (0.25557) Boundary_loss: 0.012951 (0.012894) Loss: 0.29662 (0.26846) +2025-08-23,21:19:31 | INFO | Train Epoch: 9 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.22517 (0.25512) Boundary_loss: 0.012849 (0.012893) Loss: 0.23802 (0.26801) +2025-08-23,21:20:30 | INFO | Train Epoch: 9 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.21047 (0.25446) Boundary_loss: 0.012930 (0.012894) Loss: 0.22340 (0.26735) +2025-08-23,21:21:28 | INFO | Train Epoch: 9 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.21536 (0.25389) Boundary_loss: 0.012841 (0.012893) Loss: 0.22821 (0.26679) +2025-08-23,21:22:27 | INFO | Train Epoch: 9 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.15846 (0.25253) Boundary_loss: 0.012935 (0.012893) Loss: 0.17139 (0.26542) +2025-08-23,21:23:26 | INFO | Train Epoch: 9 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.19894 (0.25177) Boundary_loss: 0.012873 (0.012893) Loss: 0.21181 (0.26467) +2025-08-23,21:24:24 | INFO | Train Epoch: 9 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.26425 (0.25195) Boundary_loss: 0.013006 (0.012895) Loss: 0.27726 (0.26484) +2025-08-23,21:25:23 | INFO | Train Epoch: 9 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.22057 (0.25152) Boundary_loss: 0.012902 (0.012895) Loss: 0.23347 (0.26441) +2025-08-23,21:26:22 | INFO | Train Epoch: 9 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.25292 (0.25154) Boundary_loss: 0.012919 (0.012895) Loss: 0.26584 (0.26443) +2025-08-23,21:27:21 | INFO | Train Epoch: 9 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.24651 (0.25147) Boundary_loss: 0.012944 (0.012896) Loss: 0.25945 (0.26437) +2025-08-23,21:28:19 | INFO | Train Epoch: 9 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.27377 (0.25176) Boundary_loss: 0.012995 (0.012897) Loss: 0.28676 (0.26466) +2025-08-23,21:29:18 | INFO | Train Epoch: 9 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.26018 (0.25187) Boundary_loss: 0.013029 (0.012899) Loss: 0.27320 (0.26477) +2025-08-23,21:30:17 | INFO | Train Epoch: 9 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.22837 (0.25157) Boundary_loss: 0.012925 (0.012899) Loss: 0.24129 (0.26447) +2025-08-23,21:31:16 | INFO | Train Epoch: 9 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.24405 (0.25148) Boundary_loss: 0.012886 (0.012899) Loss: 0.25694 (0.26438) +2025-08-23,21:32:14 | INFO | Train Epoch: 9 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.25966 (0.25158) Boundary_loss: 0.012905 (0.012899) Loss: 0.27257 (0.26448) +2025-08-23,21:33:13 | INFO | Train Epoch: 9 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.23513 (0.25138) Boundary_loss: 0.012836 (0.012898) Loss: 0.24797 (0.26427) +2025-08-23,21:34:12 | INFO | Train Epoch: 9 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.24807 (0.25134) Boundary_loss: 0.012787 (0.012897) Loss: 0.26085 (0.26423) +2025-08-23,21:35:11 | INFO | Train Epoch: 9 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.20113 (0.25073) Boundary_loss: 0.012870 (0.012897) Loss: 0.21400 (0.26363) +2025-08-23,21:36:10 | INFO | Train Epoch: 9 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.24373 (0.25065) Boundary_loss: 0.012904 (0.012897) Loss: 0.25663 (0.26354) +2025-08-23,21:37:08 | INFO | Train Epoch: 9 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.22472 (0.25034) Boundary_loss: 0.012895 (0.012897) Loss: 0.23761 (0.26324) +2025-08-23,21:38:07 | INFO | Train Epoch: 9 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.24499 (0.25028) Boundary_loss: 0.012861 (0.012896) Loss: 0.25785 (0.26318) +2025-08-23,21:39:06 | INFO | Train Epoch: 9 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.28799 (0.25071) Boundary_loss: 0.012933 (0.012897) Loss: 0.30092 (0.26361) +2025-08-23,21:40:05 | INFO | Train Epoch: 9 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.22095 (0.25037) Boundary_loss: 0.012898 (0.012897) Loss: 0.23385 (0.26327) +2025-08-23,21:41:04 | INFO | Train Epoch: 9 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.23623 (0.25022) Boundary_loss: 0.012966 (0.012898) Loss: 0.24920 (0.26311) +2025-08-23,21:42:02 | INFO | Train Epoch: 9 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.23824 (0.25008) Boundary_loss: 0.012894 (0.012897) Loss: 0.25114 (0.26298) +2025-08-23,21:43:01 | INFO | Train Epoch: 9 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.28250 (0.25044) Boundary_loss: 0.012808 (0.012896) Loss: 0.29531 (0.26334) +2025-08-23,21:44:00 | INFO | Train Epoch: 9 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.22592 (0.25017) Boundary_loss: 0.012926 (0.012897) Loss: 0.23885 (0.26307) +2025-08-23,21:44:59 | INFO | Train Epoch: 9 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.31579 (0.25088) Boundary_loss: 0.012876 (0.012897) Loss: 0.32867 (0.26377) +2025-08-23,21:45:58 | INFO | Train Epoch: 9 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.31789 (0.25159) Boundary_loss: 0.012894 (0.012897) Loss: 0.33079 (0.26449) +2025-08-23,21:46:56 | INFO | Train Epoch: 9 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.17349 (0.25077) Boundary_loss: 0.012878 (0.012896) Loss: 0.18637 (0.26367) +2025-08-23,21:47:55 | INFO | Train Epoch: 9 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.21835 (0.25043) Boundary_loss: 0.012947 (0.012897) Loss: 0.23129 (0.26333) +2025-08-23,21:48:54 | INFO | Train Epoch: 9 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.24087 (0.25033) Boundary_loss: 0.012953 (0.012897) Loss: 0.25382 (0.26323) +2025-08-23,21:49:53 | INFO | Train Epoch: 9 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.25329 (0.25036) Boundary_loss: 0.012913 (0.012898) Loss: 0.26620 (0.26326) +2025-08-23,21:50:52 | INFO | Train Epoch: 9 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.23824 (0.25024) Boundary_loss: 0.012871 (0.012897) Loss: 0.25112 (0.26314) +2025-08-23,21:51:50 | INFO | Train Epoch: 9 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.24733 (0.25021) Boundary_loss: 0.012820 (0.012897) Loss: 0.26015 (0.26311) +2025-08-23,21:52:49 | INFO | Train Epoch: 9 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.21030 (0.24982) Boundary_loss: 0.012822 (0.012896) Loss: 0.22312 (0.26271) +2025-08-23,21:53:48 | INFO | Train Epoch: 9 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.26004 (0.24992) Boundary_loss: 0.012828 (0.012895) Loss: 0.27287 (0.26281) +2025-08-23,21:54:47 | INFO | Train Epoch: 9 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.20346 (0.24947) Boundary_loss: 0.012906 (0.012895) Loss: 0.21637 (0.26236) +2025-08-23,21:55:46 | INFO | Train Epoch: 9 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.22172 (0.24920) Boundary_loss: 0.012874 (0.012895) Loss: 0.23460 (0.26209) +2025-08-23,21:56:45 | INFO | Train Epoch: 9 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.26898 (0.24939) Boundary_loss: 0.012873 (0.012895) Loss: 0.28186 (0.26228) +2025-08-23,21:57:43 | INFO | Train Epoch: 9 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.26099 (0.24950) Boundary_loss: 0.012887 (0.012895) Loss: 0.27388 (0.26239) +2025-08-23,21:58:42 | INFO | Train Epoch: 9 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.23756 (0.24938) Boundary_loss: 0.013073 (0.012896) Loss: 0.25063 (0.26228) +2025-08-23,21:59:41 | INFO | Train Epoch: 9 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.22644 (0.24917) Boundary_loss: 0.012986 (0.012897) Loss: 0.23942 (0.26207) +2025-08-23,22:00:40 | INFO | Train Epoch: 9 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.23275 (0.24902) Boundary_loss: 0.012885 (0.012897) Loss: 0.24563 (0.26192) +2025-08-23,22:01:39 | INFO | Train Epoch: 9 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.23315 (0.24888) Boundary_loss: 0.012891 (0.012897) Loss: 0.24604 (0.26177) +2025-08-23,22:02:38 | INFO | Train Epoch: 9 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.23450 (0.24875) Boundary_loss: 0.012930 (0.012897) Loss: 0.24743 (0.26165) +2025-08-23,22:03:37 | INFO | Train Epoch: 9 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.27062 (0.24894) Boundary_loss: 0.012807 (0.012897) Loss: 0.28343 (0.26184) +2025-08-23,22:04:35 | INFO | Train Epoch: 9 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.26647 (0.24910) Boundary_loss: 0.012918 (0.012897) Loss: 0.27939 (0.26200) +2025-08-23,22:05:34 | INFO | Train Epoch: 9 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 18.961 Boundary Ratio: 0.097 Contrastive_loss: 0.23706 (0.24899) Boundary_loss: 0.012840 (0.012896) Loss: 0.24990 (0.26189) +2025-08-23,22:06:33 | INFO | Train Epoch: 9 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.21595 (0.24871) Boundary_loss: 0.012872 (0.012896) Loss: 0.22882 (0.26160) +2025-08-23,22:07:32 | INFO | Train Epoch: 9 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.23356 (0.24857) Boundary_loss: 0.012901 (0.012896) Loss: 0.24646 (0.26147) +2025-08-23,22:08:31 | INFO | Train Epoch: 9 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.705 Boundary Ratio: 0.101 Contrastive_loss: 0.21306 (0.24827) Boundary_loss: 0.013014 (0.012897) Loss: 0.22608 (0.26117) +2025-08-23,22:09:30 | INFO | Train Epoch: 9 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.27771 (0.24852) Boundary_loss: 0.012843 (0.012897) Loss: 0.29055 (0.26142) +2025-08-23,22:10:29 | INFO | Train Epoch: 9 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.19042 (0.24803) Boundary_loss: 0.012902 (0.012897) Loss: 0.20332 (0.26093) +2025-08-23,22:11:27 | INFO | Train Epoch: 9 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.22459 (0.24784) Boundary_loss: 0.012864 (0.012896) Loss: 0.23745 (0.26073) +2025-08-23,22:12:26 | INFO | Train Epoch: 9 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.18864 (0.24735) Boundary_loss: 0.012908 (0.012897) Loss: 0.20155 (0.26024) +2025-08-23,22:13:25 | INFO | Train Epoch: 9 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.28027 (0.24762) Boundary_loss: 0.012892 (0.012897) Loss: 0.29316 (0.26051) +2025-08-23,22:14:24 | INFO | Train Epoch: 9 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.23326 (0.24750) Boundary_loss: 0.012813 (0.012896) Loss: 0.24607 (0.26040) +2025-08-23,22:15:23 | INFO | Train Epoch: 9 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.34061 (0.24825) Boundary_loss: 0.012909 (0.012896) Loss: 0.35352 (0.26115) +2025-08-23,22:16:22 | INFO | Train Epoch: 9 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.22240 (0.24805) Boundary_loss: 0.012874 (0.012896) Loss: 0.23527 (0.26094) +2025-08-23,22:17:20 | INFO | Train Epoch: 9 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.23414 (0.24793) Boundary_loss: 0.012827 (0.012895) Loss: 0.24697 (0.26083) +2025-08-23,22:18:19 | INFO | Train Epoch: 9 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.21507 (0.24768) Boundary_loss: 0.012892 (0.012895) Loss: 0.22796 (0.26057) +2025-08-23,22:19:18 | INFO | Train Epoch: 9 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.22797 (0.24752) Boundary_loss: 0.013078 (0.012897) Loss: 0.24105 (0.26042) +2025-08-23,22:20:17 | INFO | Train Epoch: 9 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.28672 (0.24783) Boundary_loss: 0.012873 (0.012896) Loss: 0.29959 (0.26072) +2025-08-23,22:21:16 | INFO | Train Epoch: 9 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.21408 (0.24757) Boundary_loss: 0.012965 (0.012897) Loss: 0.22704 (0.26046) +2025-08-23,22:22:15 | INFO | Train Epoch: 9 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.24580 (0.24755) Boundary_loss: 0.012844 (0.012897) Loss: 0.25864 (0.26045) +2025-08-23,22:23:14 | INFO | Train Epoch: 9 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.15534 (0.24685) Boundary_loss: 0.012925 (0.012897) Loss: 0.16827 (0.25975) +2025-08-23,22:24:13 | INFO | Train Epoch: 9 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.28248 (0.24712) Boundary_loss: 0.012880 (0.012897) Loss: 0.29536 (0.26002) +2025-08-23,22:25:11 | INFO | Train Epoch: 9 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.19240 (0.24671) Boundary_loss: 0.012789 (0.012896) Loss: 0.20519 (0.25961) +2025-08-23,22:26:10 | INFO | Train Epoch: 9 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.29632 (0.24708) Boundary_loss: 0.012938 (0.012896) Loss: 0.30926 (0.25998) +2025-08-23,22:27:09 | INFO | Train Epoch: 9 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.20018 (0.24674) Boundary_loss: 0.012869 (0.012896) Loss: 0.21305 (0.25963) +2025-08-23,22:28:08 | INFO | Train Epoch: 9 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.23241 (0.24663) Boundary_loss: 0.012859 (0.012896) Loss: 0.24527 (0.25953) +2025-08-23,22:29:07 | INFO | Train Epoch: 9 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.23819 (0.24657) Boundary_loss: 0.012893 (0.012896) Loss: 0.25108 (0.25947) +2025-08-23,22:30:06 | INFO | Train Epoch: 9 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.29161 (0.24689) Boundary_loss: 0.012881 (0.012896) Loss: 0.30450 (0.25979) +2025-08-23,22:31:04 | INFO | Train Epoch: 9 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.18923 (0.24648) Boundary_loss: 0.012816 (0.012895) Loss: 0.20204 (0.25938) +2025-08-23,22:32:03 | INFO | Train Epoch: 9 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.22589 (0.24634) Boundary_loss: 0.012848 (0.012895) Loss: 0.23874 (0.25923) +2025-08-23,22:33:02 | INFO | Train Epoch: 9 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.19454 (0.24597) Boundary_loss: 0.012899 (0.012895) Loss: 0.20744 (0.25887) +2025-08-23,22:34:01 | INFO | Train Epoch: 9 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.28241 (0.24623) Boundary_loss: 0.012956 (0.012895) Loss: 0.29537 (0.25912) +2025-08-23,22:34:59 | INFO | Train Epoch: 9 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.22933 (0.24611) Boundary_loss: 0.012795 (0.012894) Loss: 0.24213 (0.25900) +2025-08-23,22:35:58 | INFO | Train Epoch: 9 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.36086 (0.24690) Boundary_loss: 0.012918 (0.012895) Loss: 0.37378 (0.25980) +2025-08-23,22:36:57 | INFO | Train Epoch: 9 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.24320 (0.24688) Boundary_loss: 0.012898 (0.012895) Loss: 0.25610 (0.25977) +2025-08-23,22:37:56 | INFO | Train Epoch: 9 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.23343 (0.24678) Boundary_loss: 0.012853 (0.012894) Loss: 0.24629 (0.25968) +2025-08-23,22:38:55 | INFO | Train Epoch: 9 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.19089 (0.24641) Boundary_loss: 0.012863 (0.012894) Loss: 0.20376 (0.25930) +2025-08-23,22:39:54 | INFO | Train Epoch: 9 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 18.924 Boundary Ratio: 0.097 Contrastive_loss: 0.34640 (0.24708) Boundary_loss: 0.012877 (0.012894) Loss: 0.35927 (0.25997) +2025-08-23,22:40:52 | INFO | Train Epoch: 9 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.25346 (0.24712) Boundary_loss: 0.012866 (0.012894) Loss: 0.26632 (0.26001) +2025-08-23,22:41:51 | INFO | Train Epoch: 9 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.20816 (0.24686) Boundary_loss: 0.012850 (0.012894) Loss: 0.22101 (0.25976) +2025-08-23,22:42:50 | INFO | Train Epoch: 9 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.20942 (0.24662) Boundary_loss: 0.012836 (0.012893) Loss: 0.22226 (0.25951) +2025-08-23,22:43:49 | INFO | Train Epoch: 9 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.27454 (0.24680) Boundary_loss: 0.012945 (0.012893) Loss: 0.28748 (0.25969) +2025-08-23,22:44:48 | INFO | Train Epoch: 9 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.18603 (0.24640) Boundary_loss: 0.012912 (0.012894) Loss: 0.19894 (0.25930) +2025-08-23,22:45:46 | INFO | Train Epoch: 9 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.22891 (0.24629) Boundary_loss: 0.012856 (0.012893) Loss: 0.24177 (0.25918) +2025-08-23,22:46:45 | INFO | Train Epoch: 9 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.22719 (0.24617) Boundary_loss: 0.012830 (0.012893) Loss: 0.24002 (0.25906) +2025-08-23,22:47:44 | INFO | Train Epoch: 9 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.26084 (0.24626) Boundary_loss: 0.012840 (0.012893) Loss: 0.27368 (0.25915) +2025-08-23,22:48:43 | INFO | Train Epoch: 9 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.22389 (0.24612) Boundary_loss: 0.012796 (0.012892) Loss: 0.23669 (0.25901) +2025-08-23,22:49:41 | INFO | Train Epoch: 9 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.23792 (0.24607) Boundary_loss: 0.012920 (0.012892) Loss: 0.25084 (0.25896) +2025-08-23,22:50:40 | INFO | Train Epoch: 9 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.572 Boundary Ratio: 0.100 Contrastive_loss: 0.27027 (0.24622) Boundary_loss: 0.012871 (0.012892) Loss: 0.28315 (0.25911) +2025-08-23,22:51:39 | INFO | Train Epoch: 9 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.22322 (0.24608) Boundary_loss: 0.012847 (0.012892) Loss: 0.23607 (0.25897) +2025-08-23,22:52:38 | INFO | Train Epoch: 9 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.22589 (0.24595) Boundary_loss: 0.012863 (0.012892) Loss: 0.23876 (0.25884) +2025-08-23,22:53:37 | INFO | Train Epoch: 9 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.23240 (0.24587) Boundary_loss: 0.012940 (0.012892) Loss: 0.24534 (0.25876) +2025-08-23,22:54:35 | INFO | Train Epoch: 9 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.31614 (0.24630) Boundary_loss: 0.012915 (0.012892) Loss: 0.32906 (0.25919) +2025-08-23,22:55:34 | INFO | Train Epoch: 9 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.24154 (0.24627) Boundary_loss: 0.012819 (0.012892) Loss: 0.25436 (0.25916) +2025-08-23,22:56:33 | INFO | Train Epoch: 9 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.23914 (0.24623) Boundary_loss: 0.012894 (0.012892) Loss: 0.25203 (0.25912) +2025-08-23,22:57:32 | INFO | Train Epoch: 9 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.19618 (0.24593) Boundary_loss: 0.012850 (0.012891) Loss: 0.20903 (0.25882) +2025-08-23,22:58:31 | INFO | Train Epoch: 9 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 0.22810 (0.24582) Boundary_loss: 0.012820 (0.012891) Loss: 0.24092 (0.25871) +2025-08-23,22:59:29 | INFO | Train Epoch: 9 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.23362 (0.24575) Boundary_loss: 0.012908 (0.012891) Loss: 0.24653 (0.25864) +2025-08-23,23:00:28 | INFO | Train Epoch: 9 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.32141 (0.24619) Boundary_loss: 0.012884 (0.012891) Loss: 0.33429 (0.25908) +2025-08-23,23:01:27 | INFO | Train Epoch: 9 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.18887 (0.24586) Boundary_loss: 0.012965 (0.012891) Loss: 0.20184 (0.25875) +2025-08-23,23:02:26 | INFO | Train Epoch: 9 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.24968 (0.24588) Boundary_loss: 0.012995 (0.012892) Loss: 0.26267 (0.25877) +2025-08-23,23:03:25 | INFO | Train Epoch: 9 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.19062 (0.24556) Boundary_loss: 0.012902 (0.012892) Loss: 0.20352 (0.25845) +2025-08-23,23:04:24 | INFO | Train Epoch: 9 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.22034 (0.24542) Boundary_loss: 0.012908 (0.012892) Loss: 0.23325 (0.25831) +2025-08-23,23:05:22 | INFO | Train Epoch: 9 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.525 Boundary Ratio: 0.100 Contrastive_loss: 0.27066 (0.24556) Boundary_loss: 0.012946 (0.012892) Loss: 0.28360 (0.25845) +2025-08-23,23:06:21 | INFO | Train Epoch: 9 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.19656 (0.24528) Boundary_loss: 0.012861 (0.012892) Loss: 0.20942 (0.25817) +2025-08-23,23:07:20 | INFO | Train Epoch: 9 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.20135 (0.24503) Boundary_loss: 0.012936 (0.012893) Loss: 0.21428 (0.25793) +2025-08-23,23:08:19 | INFO | Train Epoch: 9 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.24883 (0.24505) Boundary_loss: 0.012935 (0.012893) Loss: 0.26176 (0.25795) +2025-08-23,23:09:18 | INFO | Train Epoch: 9 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.28040 (0.24525) Boundary_loss: 0.012865 (0.012893) Loss: 0.29326 (0.25814) +2025-08-23,23:10:16 | INFO | Train Epoch: 9 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.24609 (0.24526) Boundary_loss: 0.012934 (0.012893) Loss: 0.25903 (0.25815) +2025-08-23,23:11:15 | INFO | Train Epoch: 9 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.31954 (0.24567) Boundary_loss: 0.012866 (0.012893) Loss: 0.33241 (0.25856) +2025-08-23,23:12:14 | INFO | Train Epoch: 9 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.19347 (0.24538) Boundary_loss: 0.012832 (0.012892) Loss: 0.20630 (0.25827) +2025-08-23,23:13:13 | INFO | Train Epoch: 9 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.21560 (0.24522) Boundary_loss: 0.012872 (0.012892) Loss: 0.22847 (0.25811) +2025-08-23,23:14:12 | INFO | Train Epoch: 9 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.23862 (0.24518) Boundary_loss: 0.012938 (0.012893) Loss: 0.25156 (0.25807) +2025-08-23,23:15:11 | INFO | Train Epoch: 9 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.20479 (0.24496) Boundary_loss: 0.012890 (0.012893) Loss: 0.21768 (0.25786) +2025-08-23,23:16:09 | INFO | Train Epoch: 9 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.24867 (0.24498) Boundary_loss: 0.012897 (0.012893) Loss: 0.26157 (0.25788) +2025-08-23,23:17:08 | INFO | Train Epoch: 9 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.520 Boundary Ratio: 0.100 Contrastive_loss: 0.23850 (0.24495) Boundary_loss: 0.012983 (0.012893) Loss: 0.25148 (0.25784) +2025-08-23,23:18:07 | INFO | Train Epoch: 9 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.21538 (0.24479) Boundary_loss: 0.012897 (0.012893) Loss: 0.22828 (0.25768) +2025-08-23,23:19:06 | INFO | Train Epoch: 9 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.24103 (0.24477) Boundary_loss: 0.012860 (0.012893) Loss: 0.25389 (0.25766) +2025-08-23,23:20:05 | INFO | Train Epoch: 9 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.22115 (0.24465) Boundary_loss: 0.012886 (0.012893) Loss: 0.23403 (0.25754) +2025-08-23,23:21:03 | INFO | Train Epoch: 9 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.22479 (0.24454) Boundary_loss: 0.013028 (0.012894) Loss: 0.23782 (0.25744) +2025-08-23,23:22:02 | INFO | Train Epoch: 9 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.20686 (0.24435) Boundary_loss: 0.012872 (0.012893) Loss: 0.21973 (0.25724) +2025-08-23,23:23:01 | INFO | Train Epoch: 9 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.26731 (0.24447) Boundary_loss: 0.012810 (0.012893) Loss: 0.28012 (0.25736) +2025-08-23,23:24:00 | INFO | Train Epoch: 9 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.19389 (0.24421) Boundary_loss: 0.012896 (0.012893) Loss: 0.20679 (0.25710) +2025-08-23,23:24:59 | INFO | Train Epoch: 9 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.17851 (0.24387) Boundary_loss: 0.012868 (0.012893) Loss: 0.19138 (0.25676) +2025-08-23,23:25:57 | INFO | Train Epoch: 9 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.18963 (0.24359) Boundary_loss: 0.012941 (0.012893) Loss: 0.20257 (0.25648) +2025-08-23,23:26:56 | INFO | Train Epoch: 9 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.26508 (0.24370) Boundary_loss: 0.012923 (0.012893) Loss: 0.27800 (0.25659) +2025-08-23,23:27:55 | INFO | Train Epoch: 9 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.22758 (0.24362) Boundary_loss: 0.012980 (0.012894) Loss: 0.24056 (0.25651) +2025-08-23,23:28:54 | INFO | Train Epoch: 9 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.20011 (0.24340) Boundary_loss: 0.012912 (0.012894) Loss: 0.21303 (0.25629) +2025-08-23,23:29:52 | INFO | Train Epoch: 9 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.17941 (0.24308) Boundary_loss: 0.012797 (0.012893) Loss: 0.19220 (0.25597) +2025-08-23,23:30:51 | INFO | Train Epoch: 9 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.24682 (0.24310) Boundary_loss: 0.012933 (0.012894) Loss: 0.25975 (0.25599) +2025-08-23,23:31:50 | INFO | Train Epoch: 9 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.22701 (0.24302) Boundary_loss: 0.012846 (0.012893) Loss: 0.23986 (0.25591) +2025-08-23,23:32:49 | INFO | Train Epoch: 9 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.25914 (0.24310) Boundary_loss: 0.012891 (0.012893) Loss: 0.27203 (0.25599) +2025-08-23,23:33:48 | INFO | Train Epoch: 9 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.24592 (0.24311) Boundary_loss: 0.012921 (0.012893) Loss: 0.25884 (0.25601) +2025-08-23,23:34:47 | INFO | Train Epoch: 9 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.24330 (0.24311) Boundary_loss: 0.012956 (0.012894) Loss: 0.25625 (0.25601) +2025-08-23,23:35:45 | INFO | Train Epoch: 9 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.29004 (0.24334) Boundary_loss: 0.012809 (0.012893) Loss: 0.30285 (0.25623) +2025-08-23,23:36:44 | INFO | Train Epoch: 9 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.21735 (0.24322) Boundary_loss: 0.012915 (0.012893) Loss: 0.23027 (0.25611) +2025-08-23,23:37:43 | INFO | Train Epoch: 9 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.23684 (0.24319) Boundary_loss: 0.012945 (0.012894) Loss: 0.24978 (0.25608) +2025-08-23,23:38:42 | INFO | Train Epoch: 9 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.26188 (0.24327) Boundary_loss: 0.012880 (0.012894) Loss: 0.27476 (0.25617) +2025-08-23,23:39:40 | INFO | Train Epoch: 9 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.22540 (0.24319) Boundary_loss: 0.012928 (0.012894) Loss: 0.23833 (0.25608) +2025-08-23,23:40:39 | INFO | Train Epoch: 9 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.24821 (0.24321) Boundary_loss: 0.012976 (0.012894) Loss: 0.26118 (0.25611) +2025-08-23,23:41:38 | INFO | Train Epoch: 9 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.26318 (0.24331) Boundary_loss: 0.012920 (0.012894) Loss: 0.27610 (0.25620) +2025-08-23,23:42:37 | INFO | Train Epoch: 9 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.22196 (0.24321) Boundary_loss: 0.012946 (0.012894) Loss: 0.23491 (0.25610) +2025-08-23,23:43:36 | INFO | Train Epoch: 9 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.22084 (0.24310) Boundary_loss: 0.012927 (0.012895) Loss: 0.23377 (0.25600) +2025-08-23,23:44:34 | INFO | Train Epoch: 9 [10957312/26365952 (42%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 0.27258 (0.24324) Boundary_loss: 0.012902 (0.012895) Loss: 0.28548 (0.25613) +2025-08-23,23:45:33 | INFO | Train Epoch: 9 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.23494 (0.24320) Boundary_loss: 0.012767 (0.012894) Loss: 0.24771 (0.25610) +2025-08-23,23:46:32 | INFO | Train Epoch: 9 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 0.23155 (0.24315) Boundary_loss: 0.012900 (0.012894) Loss: 0.24445 (0.25604) +2025-08-23,23:47:31 | INFO | Train Epoch: 9 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.24577 (0.24316) Boundary_loss: 0.012783 (0.012894) Loss: 0.25856 (0.25605) +2025-08-23,23:48:29 | INFO | Train Epoch: 9 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.27703 (0.24331) Boundary_loss: 0.012954 (0.012894) Loss: 0.28998 (0.25621) +2025-08-23,23:49:28 | INFO | Train Epoch: 9 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.24475 (0.24332) Boundary_loss: 0.012796 (0.012893) Loss: 0.25755 (0.25621) +2025-08-23,23:50:27 | INFO | Train Epoch: 9 [11264512/26365952 (43%)] Avg Boundaries (per batch): 18.992 Boundary Ratio: 0.097 Contrastive_loss: 0.21315 (0.24318) Boundary_loss: 0.012891 (0.012893) Loss: 0.22604 (0.25608) +2025-08-23,23:51:26 | INFO | Train Epoch: 9 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.18727 (0.24293) Boundary_loss: 0.012852 (0.012893) Loss: 0.20012 (0.25583) +2025-08-23,23:52:24 | INFO | Train Epoch: 9 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.20154 (0.24275) Boundary_loss: 0.012873 (0.012893) Loss: 0.21441 (0.25564) +2025-08-23,23:53:23 | INFO | Train Epoch: 9 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.20546 (0.24258) Boundary_loss: 0.012830 (0.012893) Loss: 0.21829 (0.25547) +2025-08-23,23:54:22 | INFO | Train Epoch: 9 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.25331 (0.24263) Boundary_loss: 0.012830 (0.012893) Loss: 0.26614 (0.25552) +2025-08-23,23:55:21 | INFO | Train Epoch: 9 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.24645 (0.24265) Boundary_loss: 0.012935 (0.012893) Loss: 0.25938 (0.25554) +2025-08-23,23:56:19 | INFO | Train Epoch: 9 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.32796 (0.24302) Boundary_loss: 0.012844 (0.012893) Loss: 0.34081 (0.25591) +2025-08-23,23:57:18 | INFO | Train Epoch: 9 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.19987 (0.24283) Boundary_loss: 0.012853 (0.012892) Loss: 0.21272 (0.25572) +2025-08-23,23:58:17 | INFO | Train Epoch: 9 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.18373 (0.24257) Boundary_loss: 0.012899 (0.012892) Loss: 0.19662 (0.25547) +2025-08-23,23:59:16 | INFO | Train Epoch: 9 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.29061 (0.24278) Boundary_loss: 0.013023 (0.012893) Loss: 0.30364 (0.25568) +2025-08-24,00:00:15 | INFO | Train Epoch: 9 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.551 Boundary Ratio: 0.100 Contrastive_loss: 0.18793 (0.24255) Boundary_loss: 0.012910 (0.012893) Loss: 0.20084 (0.25544) +2025-08-24,00:01:13 | INFO | Train Epoch: 9 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.23971 (0.24253) Boundary_loss: 0.012879 (0.012893) Loss: 0.25259 (0.25543) +2025-08-24,00:02:12 | INFO | Train Epoch: 9 [11878912/26365952 (45%)] Avg Boundaries (per batch): 18.986 Boundary Ratio: 0.097 Contrastive_loss: 0.33968 (0.24295) Boundary_loss: 0.012907 (0.012893) Loss: 0.35259 (0.25584) +2025-08-24,00:03:11 | INFO | Train Epoch: 9 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.21932 (0.24285) Boundary_loss: 0.012925 (0.012893) Loss: 0.23225 (0.25574) +2025-08-24,00:04:10 | INFO | Train Epoch: 9 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.23481 (0.24281) Boundary_loss: 0.012968 (0.012894) Loss: 0.24778 (0.25571) +2025-08-24,00:05:08 | INFO | Train Epoch: 9 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.20131 (0.24264) Boundary_loss: 0.012972 (0.012894) Loss: 0.21428 (0.25553) +2025-08-24,00:06:07 | INFO | Train Epoch: 9 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.16606 (0.24232) Boundary_loss: 0.012885 (0.012894) Loss: 0.17894 (0.25521) +2025-08-24,00:07:06 | INFO | Train Epoch: 9 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.24417 (0.24232) Boundary_loss: 0.012815 (0.012893) Loss: 0.25698 (0.25522) +2025-08-24,00:08:05 | INFO | Train Epoch: 9 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.22014 (0.24223) Boundary_loss: 0.012906 (0.012894) Loss: 0.23305 (0.25512) +2025-08-24,00:09:03 | INFO | Train Epoch: 9 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.24391 (0.24224) Boundary_loss: 0.012903 (0.012894) Loss: 0.25681 (0.25513) +2025-08-24,00:10:02 | INFO | Train Epoch: 9 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.21912 (0.24214) Boundary_loss: 0.012947 (0.012894) Loss: 0.23207 (0.25504) +2025-08-24,00:11:01 | INFO | Train Epoch: 9 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.22479 (0.24207) Boundary_loss: 0.012919 (0.012894) Loss: 0.23771 (0.25496) +2025-08-24,00:12:00 | INFO | Train Epoch: 9 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.25583 (0.24213) Boundary_loss: 0.012837 (0.012894) Loss: 0.26867 (0.25502) +2025-08-24,00:12:58 | INFO | Train Epoch: 9 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.22870 (0.24207) Boundary_loss: 0.012853 (0.012893) Loss: 0.24156 (0.25497) +2025-08-24,00:13:57 | INFO | Train Epoch: 9 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.27343 (0.24220) Boundary_loss: 0.012860 (0.012893) Loss: 0.28629 (0.25509) +2025-08-24,00:14:56 | INFO | Train Epoch: 9 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.25670 (0.24226) Boundary_loss: 0.012875 (0.012893) Loss: 0.26958 (0.25515) +2025-08-24,00:15:55 | INFO | Train Epoch: 9 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.24090 (0.24225) Boundary_loss: 0.012807 (0.012893) Loss: 0.25371 (0.25515) +2025-08-24,00:16:53 | INFO | Train Epoch: 9 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.19767 (0.24207) Boundary_loss: 0.012953 (0.012893) Loss: 0.21062 (0.25497) +2025-08-24,00:17:52 | INFO | Train Epoch: 9 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.20013 (0.24191) Boundary_loss: 0.012826 (0.012893) Loss: 0.21295 (0.25480) +2025-08-24,00:18:51 | INFO | Train Epoch: 9 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.23193 (0.24187) Boundary_loss: 0.012906 (0.012893) Loss: 0.24483 (0.25476) +2025-08-24,00:19:50 | INFO | Train Epoch: 9 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.17481 (0.24160) Boundary_loss: 0.012841 (0.012893) Loss: 0.18765 (0.25449) +2025-08-24,00:20:49 | INFO | Train Epoch: 9 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.27022 (0.24171) Boundary_loss: 0.012848 (0.012893) Loss: 0.28306 (0.25460) +2025-08-24,00:21:47 | INFO | Train Epoch: 9 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.19011 (0.24151) Boundary_loss: 0.012841 (0.012892) Loss: 0.20295 (0.25440) +2025-08-24,00:22:46 | INFO | Train Epoch: 9 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.25242 (0.24155) Boundary_loss: 0.012928 (0.012893) Loss: 0.26535 (0.25444) +2025-08-24,00:23:45 | INFO | Train Epoch: 9 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.21067 (0.24143) Boundary_loss: 0.012790 (0.012892) Loss: 0.22346 (0.25432) +2025-08-24,00:24:44 | INFO | Train Epoch: 9 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.20845 (0.24130) Boundary_loss: 0.012854 (0.012892) Loss: 0.22131 (0.25419) +2025-08-24,00:25:42 | INFO | Train Epoch: 9 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.22004 (0.24122) Boundary_loss: 0.012935 (0.012892) Loss: 0.23297 (0.25411) +2025-08-24,00:26:41 | INFO | Train Epoch: 9 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.23099 (0.24118) Boundary_loss: 0.012812 (0.012892) Loss: 0.24380 (0.25407) +2025-08-24,00:27:40 | INFO | Train Epoch: 9 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.24089 (0.24118) Boundary_loss: 0.012798 (0.012891) Loss: 0.25369 (0.25407) +2025-08-24,00:28:39 | INFO | Train Epoch: 9 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.19757 (0.24101) Boundary_loss: 0.012850 (0.012891) Loss: 0.21042 (0.25390) +2025-08-24,00:29:38 | INFO | Train Epoch: 9 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.19054 (0.24082) Boundary_loss: 0.012876 (0.012891) Loss: 0.20342 (0.25371) +2025-08-24,00:30:36 | INFO | Train Epoch: 9 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.21796 (0.24073) Boundary_loss: 0.012807 (0.012891) Loss: 0.23077 (0.25362) +2025-08-24,00:31:35 | INFO | Train Epoch: 9 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.21662 (0.24064) Boundary_loss: 0.012885 (0.012891) Loss: 0.22951 (0.25353) +2025-08-24,00:32:34 | INFO | Train Epoch: 9 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.22969 (0.24060) Boundary_loss: 0.012840 (0.012891) Loss: 0.24253 (0.25349) +2025-08-24,00:33:33 | INFO | Train Epoch: 9 [13517312/26365952 (51%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.28219 (0.24075) Boundary_loss: 0.012890 (0.012891) Loss: 0.29508 (0.25364) +2025-08-24,00:34:32 | INFO | Train Epoch: 9 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.23353 (0.24073) Boundary_loss: 0.012867 (0.012891) Loss: 0.24640 (0.25362) +2025-08-24,00:35:30 | INFO | Train Epoch: 9 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.21602 (0.24063) Boundary_loss: 0.012877 (0.012891) Loss: 0.22890 (0.25352) +2025-08-24,00:36:29 | INFO | Train Epoch: 9 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.21982 (0.24056) Boundary_loss: 0.012859 (0.012890) Loss: 0.23268 (0.25345) +2025-08-24,00:37:28 | INFO | Train Epoch: 9 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.19427 (0.24038) Boundary_loss: 0.012947 (0.012891) Loss: 0.20722 (0.25327) +2025-08-24,00:38:27 | INFO | Train Epoch: 9 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.22669 (0.24033) Boundary_loss: 0.012914 (0.012891) Loss: 0.23961 (0.25322) +2025-08-24,00:39:26 | INFO | Train Epoch: 9 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.26817 (0.24044) Boundary_loss: 0.012896 (0.012891) Loss: 0.28107 (0.25333) +2025-08-24,00:40:24 | INFO | Train Epoch: 9 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.24603 (0.24046) Boundary_loss: 0.012865 (0.012891) Loss: 0.25890 (0.25335) +2025-08-24,00:41:23 | INFO | Train Epoch: 9 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.21326 (0.24036) Boundary_loss: 0.012780 (0.012890) Loss: 0.22604 (0.25325) +2025-08-24,00:42:22 | INFO | Train Epoch: 9 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.22121 (0.24029) Boundary_loss: 0.012788 (0.012890) Loss: 0.23400 (0.25318) +2025-08-24,00:43:21 | INFO | Train Epoch: 9 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.19466 (0.24012) Boundary_loss: 0.012935 (0.012890) Loss: 0.20759 (0.25301) +2025-08-24,00:44:19 | INFO | Train Epoch: 9 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.24144 (0.24013) Boundary_loss: 0.012927 (0.012890) Loss: 0.25437 (0.25302) +2025-08-24,00:45:18 | INFO | Train Epoch: 9 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.24227 (0.24013) Boundary_loss: 0.012853 (0.012890) Loss: 0.25513 (0.25302) +2025-08-24,00:46:17 | INFO | Train Epoch: 9 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.21914 (0.24006) Boundary_loss: 0.012774 (0.012890) Loss: 0.23191 (0.25295) +2025-08-24,00:47:16 | INFO | Train Epoch: 9 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.20792 (0.23994) Boundary_loss: 0.012891 (0.012890) Loss: 0.22081 (0.25283) +2025-08-24,00:48:15 | INFO | Train Epoch: 9 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.19771 (0.23979) Boundary_loss: 0.012870 (0.012890) Loss: 0.21058 (0.25268) +2025-08-24,00:49:13 | INFO | Train Epoch: 9 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.16946 (0.23954) Boundary_loss: 0.012908 (0.012890) Loss: 0.18237 (0.25243) +2025-08-24,00:50:12 | INFO | Train Epoch: 9 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.27433 (0.23966) Boundary_loss: 0.012780 (0.012889) Loss: 0.28711 (0.25255) +2025-08-24,00:51:11 | INFO | Train Epoch: 9 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.23030 (0.23963) Boundary_loss: 0.012878 (0.012889) Loss: 0.24318 (0.25252) +2025-08-24,00:52:10 | INFO | Train Epoch: 9 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.24500 (0.23965) Boundary_loss: 0.012851 (0.012889) Loss: 0.25786 (0.25254) +2025-08-24,00:53:09 | INFO | Train Epoch: 9 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.25002 (0.23969) Boundary_loss: 0.012856 (0.012889) Loss: 0.26288 (0.25258) +2025-08-24,00:54:08 | INFO | Train Epoch: 9 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.19115 (0.23952) Boundary_loss: 0.013003 (0.012889) Loss: 0.20416 (0.25241) +2025-08-24,00:55:06 | INFO | Train Epoch: 9 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.26217 (0.23960) Boundary_loss: 0.012869 (0.012889) Loss: 0.27503 (0.25249) +2025-08-24,00:56:05 | INFO | Train Epoch: 9 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 0.25700 (0.23966) Boundary_loss: 0.012950 (0.012889) Loss: 0.26995 (0.25255) +2025-08-24,00:57:04 | INFO | Train Epoch: 9 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.17067 (0.23942) Boundary_loss: 0.012867 (0.012889) Loss: 0.18354 (0.25231) +2025-08-24,00:58:03 | INFO | Train Epoch: 9 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.21408 (0.23933) Boundary_loss: 0.012880 (0.012889) Loss: 0.22696 (0.25222) +2025-08-24,00:59:02 | INFO | Train Epoch: 9 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.25189 (0.23937) Boundary_loss: 0.012898 (0.012889) Loss: 0.26478 (0.25226) +2025-08-24,01:00:00 | INFO | Train Epoch: 9 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.19915 (0.23924) Boundary_loss: 0.012867 (0.012889) Loss: 0.21202 (0.25213) +2025-08-24,01:00:59 | INFO | Train Epoch: 9 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.18976 (0.23907) Boundary_loss: 0.012990 (0.012890) Loss: 0.20275 (0.25196) +2025-08-24,01:01:58 | INFO | Train Epoch: 9 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.23320 (0.23905) Boundary_loss: 0.012944 (0.012890) Loss: 0.24615 (0.25194) +2025-08-24,01:02:57 | INFO | Train Epoch: 9 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.23128 (0.23902) Boundary_loss: 0.012896 (0.012890) Loss: 0.24418 (0.25191) +2025-08-24,01:03:56 | INFO | Train Epoch: 9 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.20749 (0.23891) Boundary_loss: 0.012852 (0.012890) Loss: 0.22034 (0.25180) +2025-08-24,01:04:54 | INFO | Train Epoch: 9 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.23246 (0.23889) Boundary_loss: 0.012902 (0.012890) Loss: 0.24536 (0.25178) +2025-08-24,01:05:53 | INFO | Train Epoch: 9 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.22476 (0.23884) Boundary_loss: 0.012855 (0.012890) Loss: 0.23762 (0.25173) +2025-08-24,01:06:52 | INFO | Train Epoch: 9 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.600 Boundary Ratio: 0.100 Contrastive_loss: 0.24392 (0.23886) Boundary_loss: 0.012931 (0.012890) Loss: 0.25685 (0.25175) +2025-08-24,01:07:51 | INFO | Train Epoch: 9 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.20765 (0.23876) Boundary_loss: 0.012843 (0.012890) Loss: 0.22049 (0.25165) +2025-08-24,01:08:50 | INFO | Train Epoch: 9 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.28243 (0.23890) Boundary_loss: 0.012876 (0.012890) Loss: 0.29531 (0.25179) +2025-08-24,01:09:48 | INFO | Train Epoch: 9 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.23403 (0.23889) Boundary_loss: 0.012825 (0.012889) Loss: 0.24686 (0.25178) +2025-08-24,01:10:47 | INFO | Train Epoch: 9 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.22450 (0.23884) Boundary_loss: 0.012935 (0.012890) Loss: 0.23743 (0.25173) +2025-08-24,01:11:46 | INFO | Train Epoch: 9 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.26442 (0.23892) Boundary_loss: 0.012825 (0.012889) Loss: 0.27725 (0.25181) +2025-08-24,01:12:45 | INFO | Train Epoch: 9 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.24480 (0.23894) Boundary_loss: 0.012908 (0.012889) Loss: 0.25771 (0.25183) +2025-08-24,01:13:43 | INFO | Train Epoch: 9 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.32998 (0.23924) Boundary_loss: 0.012773 (0.012889) Loss: 0.34276 (0.25213) +2025-08-24,01:14:42 | INFO | Train Epoch: 9 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.17539 (0.23903) Boundary_loss: 0.012813 (0.012889) Loss: 0.18820 (0.25192) +2025-08-24,01:15:41 | INFO | Train Epoch: 9 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.20293 (0.23892) Boundary_loss: 0.012800 (0.012888) Loss: 0.21573 (0.25180) +2025-08-24,01:16:40 | INFO | Train Epoch: 9 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.17904 (0.23872) Boundary_loss: 0.012870 (0.012888) Loss: 0.19191 (0.25161) +2025-08-24,01:17:39 | INFO | Train Epoch: 9 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.19895 (0.23859) Boundary_loss: 0.012853 (0.012888) Loss: 0.21180 (0.25148) +2025-08-24,01:18:38 | INFO | Train Epoch: 9 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.27041 (0.23870) Boundary_loss: 0.012913 (0.012888) Loss: 0.28332 (0.25158) +2025-08-24,01:19:36 | INFO | Train Epoch: 9 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.23102 (0.23867) Boundary_loss: 0.012956 (0.012889) Loss: 0.24397 (0.25156) +2025-08-24,01:20:35 | INFO | Train Epoch: 9 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.28127 (0.23881) Boundary_loss: 0.012853 (0.012888) Loss: 0.29412 (0.25170) +2025-08-24,01:21:34 | INFO | Train Epoch: 9 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.617 Boundary Ratio: 0.100 Contrastive_loss: 0.16357 (0.23857) Boundary_loss: 0.012901 (0.012889) Loss: 0.17647 (0.25146) +2025-08-24,01:22:33 | INFO | Train Epoch: 9 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.18749 (0.23841) Boundary_loss: 0.012892 (0.012889) Loss: 0.20039 (0.25129) +2025-08-24,01:23:31 | INFO | Train Epoch: 9 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.25915 (0.23847) Boundary_loss: 0.012854 (0.012888) Loss: 0.27200 (0.25136) +2025-08-24,01:24:30 | INFO | Train Epoch: 9 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.27275 (0.23858) Boundary_loss: 0.012900 (0.012888) Loss: 0.28565 (0.25147) +2025-08-24,01:25:29 | INFO | Train Epoch: 9 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.619 Boundary Ratio: 0.100 Contrastive_loss: 0.22751 (0.23854) Boundary_loss: 0.012942 (0.012889) Loss: 0.24045 (0.25143) +2025-08-24,01:26:28 | INFO | Train Epoch: 9 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.15616 (0.23829) Boundary_loss: 0.012868 (0.012889) Loss: 0.16903 (0.25117) +2025-08-24,01:27:27 | INFO | Train Epoch: 9 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.25188 (0.23833) Boundary_loss: 0.012963 (0.012889) Loss: 0.26484 (0.25122) +2025-08-24,01:28:25 | INFO | Train Epoch: 9 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.28254 (0.23847) Boundary_loss: 0.012873 (0.012889) Loss: 0.29541 (0.25135) +2025-08-24,01:29:24 | INFO | Train Epoch: 9 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.19919 (0.23834) Boundary_loss: 0.012979 (0.012889) Loss: 0.21217 (0.25123) +2025-08-24,01:30:23 | INFO | Train Epoch: 9 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.23103 (0.23832) Boundary_loss: 0.012840 (0.012889) Loss: 0.24387 (0.25121) +2025-08-24,01:31:22 | INFO | Train Epoch: 9 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.20015 (0.23820) Boundary_loss: 0.012855 (0.012889) Loss: 0.21300 (0.25109) +2025-08-24,01:32:20 | INFO | Train Epoch: 9 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.19607 (0.23807) Boundary_loss: 0.012882 (0.012889) Loss: 0.20895 (0.25096) +2025-08-24,01:33:19 | INFO | Train Epoch: 9 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.20264 (0.23797) Boundary_loss: 0.012895 (0.012889) Loss: 0.21553 (0.25085) +2025-08-24,01:34:18 | INFO | Train Epoch: 9 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.22785 (0.23793) Boundary_loss: 0.012891 (0.012889) Loss: 0.24075 (0.25082) +2025-08-24,01:35:17 | INFO | Train Epoch: 9 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.21929 (0.23788) Boundary_loss: 0.012945 (0.012889) Loss: 0.23224 (0.25077) +2025-08-24,01:36:15 | INFO | Train Epoch: 9 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.22501 (0.23784) Boundary_loss: 0.012813 (0.012889) Loss: 0.23782 (0.25073) +2025-08-24,01:37:14 | INFO | Train Epoch: 9 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.18242 (0.23767) Boundary_loss: 0.012903 (0.012889) Loss: 0.19533 (0.25056) +2025-08-24,01:38:13 | INFO | Train Epoch: 9 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.25144 (0.23771) Boundary_loss: 0.012930 (0.012889) Loss: 0.26437 (0.25060) +2025-08-24,01:39:12 | INFO | Train Epoch: 9 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.22498 (0.23767) Boundary_loss: 0.012941 (0.012889) Loss: 0.23792 (0.25056) +2025-08-24,01:40:11 | INFO | Train Epoch: 9 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.20023 (0.23756) Boundary_loss: 0.012702 (0.012888) Loss: 0.21293 (0.25045) +2025-08-24,01:41:09 | INFO | Train Epoch: 9 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.23255 (0.23755) Boundary_loss: 0.012916 (0.012889) Loss: 0.24547 (0.25043) +2025-08-24,01:42:08 | INFO | Train Epoch: 9 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.25984 (0.23761) Boundary_loss: 0.012885 (0.012889) Loss: 0.27272 (0.25050) +2025-08-24,01:43:07 | INFO | Train Epoch: 9 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.19388 (0.23748) Boundary_loss: 0.012904 (0.012889) Loss: 0.20679 (0.25037) +2025-08-24,01:44:06 | INFO | Train Epoch: 9 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.28570 (0.23763) Boundary_loss: 0.012788 (0.012888) Loss: 0.29849 (0.25051) +2025-08-24,01:45:04 | INFO | Train Epoch: 9 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.22087 (0.23758) Boundary_loss: 0.012932 (0.012888) Loss: 0.23380 (0.25046) +2025-08-24,01:46:03 | INFO | Train Epoch: 9 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.28524 (0.23772) Boundary_loss: 0.012834 (0.012888) Loss: 0.29807 (0.25061) +2025-08-24,01:47:02 | INFO | Train Epoch: 9 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.25179 (0.23776) Boundary_loss: 0.012856 (0.012888) Loss: 0.26464 (0.25065) +2025-08-24,01:48:01 | INFO | Train Epoch: 9 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.27170 (0.23786) Boundary_loss: 0.012895 (0.012888) Loss: 0.28460 (0.25075) +2025-08-24,01:48:59 | INFO | Train Epoch: 9 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.17801 (0.23768) Boundary_loss: 0.012819 (0.012888) Loss: 0.19083 (0.25057) +2025-08-24,01:49:58 | INFO | Train Epoch: 9 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.23564 (0.23768) Boundary_loss: 0.012824 (0.012888) Loss: 0.24846 (0.25056) +2025-08-24,01:50:57 | INFO | Train Epoch: 9 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.20025 (0.23757) Boundary_loss: 0.012914 (0.012888) Loss: 0.21317 (0.25046) +2025-08-24,01:51:56 | INFO | Train Epoch: 9 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.33468 (0.23785) Boundary_loss: 0.012914 (0.012888) Loss: 0.34759 (0.25074) +2025-08-24,01:52:54 | INFO | Train Epoch: 9 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.21983 (0.23780) Boundary_loss: 0.012921 (0.012888) Loss: 0.23275 (0.25069) +2025-08-24,01:53:53 | INFO | Train Epoch: 9 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 0.28526 (0.23793) Boundary_loss: 0.012793 (0.012888) Loss: 0.29806 (0.25082) +2025-08-24,01:54:52 | INFO | Train Epoch: 9 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.22974 (0.23791) Boundary_loss: 0.012782 (0.012887) Loss: 0.24252 (0.25080) +2025-08-24,01:55:51 | INFO | Train Epoch: 9 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.604 Boundary Ratio: 0.100 Contrastive_loss: 0.24014 (0.23792) Boundary_loss: 0.012921 (0.012888) Loss: 0.25306 (0.25080) +2025-08-24,01:56:50 | INFO | Train Epoch: 9 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.21432 (0.23785) Boundary_loss: 0.012881 (0.012888) Loss: 0.22720 (0.25074) +2025-08-24,01:57:48 | INFO | Train Epoch: 9 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.27142 (0.23795) Boundary_loss: 0.012824 (0.012887) Loss: 0.28424 (0.25083) +2025-08-24,01:58:47 | INFO | Train Epoch: 9 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.24027 (0.23795) Boundary_loss: 0.012849 (0.012887) Loss: 0.25312 (0.25084) +2025-08-24,01:59:46 | INFO | Train Epoch: 9 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.26574 (0.23803) Boundary_loss: 0.012936 (0.012887) Loss: 0.27868 (0.25092) +2025-08-24,02:00:45 | INFO | Train Epoch: 9 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.25203 (0.23807) Boundary_loss: 0.012931 (0.012888) Loss: 0.26496 (0.25096) +2025-08-24,02:01:43 | INFO | Train Epoch: 9 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.23495 (0.23806) Boundary_loss: 0.012825 (0.012887) Loss: 0.24778 (0.25095) +2025-08-24,02:02:42 | INFO | Train Epoch: 9 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.21332 (0.23799) Boundary_loss: 0.012893 (0.012887) Loss: 0.22622 (0.25088) +2025-08-24,02:03:41 | INFO | Train Epoch: 9 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.24049 (0.23800) Boundary_loss: 0.012882 (0.012887) Loss: 0.25337 (0.25089) +2025-08-24,02:04:40 | INFO | Train Epoch: 9 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.15627 (0.23777) Boundary_loss: 0.012907 (0.012887) Loss: 0.16918 (0.25066) +2025-08-24,02:05:39 | INFO | Train Epoch: 9 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.20672 (0.23768) Boundary_loss: 0.012835 (0.012887) Loss: 0.21956 (0.25057) +2025-08-24,02:06:37 | INFO | Train Epoch: 9 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.21611 (0.23762) Boundary_loss: 0.012933 (0.012887) Loss: 0.22904 (0.25051) +2025-08-24,02:07:36 | INFO | Train Epoch: 9 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.24289 (0.23764) Boundary_loss: 0.012953 (0.012888) Loss: 0.25584 (0.25053) +2025-08-24,02:08:35 | INFO | Train Epoch: 9 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.22238 (0.23760) Boundary_loss: 0.012840 (0.012887) Loss: 0.23522 (0.25048) +2025-08-24,02:09:34 | INFO | Train Epoch: 9 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.20011 (0.23749) Boundary_loss: 0.012945 (0.012888) Loss: 0.21305 (0.25038) +2025-08-24,02:10:33 | INFO | Train Epoch: 9 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.15550 (0.23727) Boundary_loss: 0.012907 (0.012888) Loss: 0.16841 (0.25016) +2025-08-24,02:11:31 | INFO | Train Epoch: 9 [18637312/26365952 (71%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.22085 (0.23722) Boundary_loss: 0.012894 (0.012888) Loss: 0.23374 (0.25011) +2025-08-24,02:12:30 | INFO | Train Epoch: 9 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.596 Boundary Ratio: 0.100 Contrastive_loss: 0.19708 (0.23711) Boundary_loss: 0.012909 (0.012888) Loss: 0.20999 (0.25000) +2025-08-24,02:13:29 | INFO | Train Epoch: 9 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.22307 (0.23707) Boundary_loss: 0.012838 (0.012888) Loss: 0.23591 (0.24996) +2025-08-24,02:14:28 | INFO | Train Epoch: 9 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.20296 (0.23698) Boundary_loss: 0.012869 (0.012888) Loss: 0.21583 (0.24987) +2025-08-24,02:15:26 | INFO | Train Epoch: 9 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.22131 (0.23694) Boundary_loss: 0.012833 (0.012887) Loss: 0.23414 (0.24983) +2025-08-24,02:16:25 | INFO | Train Epoch: 9 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.21729 (0.23689) Boundary_loss: 0.012840 (0.012887) Loss: 0.23013 (0.24977) +2025-08-24,02:17:24 | INFO | Train Epoch: 9 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.24221 (0.23690) Boundary_loss: 0.012920 (0.012887) Loss: 0.25513 (0.24979) +2025-08-24,02:18:22 | INFO | Train Epoch: 9 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.16078 (0.23670) Boundary_loss: 0.012812 (0.012887) Loss: 0.17359 (0.24958) +2025-08-24,02:19:21 | INFO | Train Epoch: 9 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.24090 (0.23671) Boundary_loss: 0.012885 (0.012887) Loss: 0.25379 (0.24959) +2025-08-24,02:20:20 | INFO | Train Epoch: 9 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.21892 (0.23666) Boundary_loss: 0.012851 (0.012887) Loss: 0.23177 (0.24955) +2025-08-24,02:21:19 | INFO | Train Epoch: 9 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.18336 (0.23652) Boundary_loss: 0.012822 (0.012887) Loss: 0.19618 (0.24940) +2025-08-24,02:22:18 | INFO | Train Epoch: 9 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.18139 (0.23637) Boundary_loss: 0.012904 (0.012887) Loss: 0.19429 (0.24926) +2025-08-24,02:23:16 | INFO | Train Epoch: 9 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.25406 (0.23642) Boundary_loss: 0.012882 (0.012887) Loss: 0.26694 (0.24931) +2025-08-24,02:24:15 | INFO | Train Epoch: 9 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.18337 (0.23628) Boundary_loss: 0.012821 (0.012887) Loss: 0.19620 (0.24916) +2025-08-24,02:25:14 | INFO | Train Epoch: 9 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.26546 (0.23635) Boundary_loss: 0.012870 (0.012887) Loss: 0.27833 (0.24924) +2025-08-24,02:26:13 | INFO | Train Epoch: 9 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.24916 (0.23639) Boundary_loss: 0.012876 (0.012887) Loss: 0.26203 (0.24928) +2025-08-24,02:27:11 | INFO | Train Epoch: 9 [19456512/26365952 (74%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.26872 (0.23647) Boundary_loss: 0.012808 (0.012886) Loss: 0.28153 (0.24936) +2025-08-24,02:28:10 | INFO | Train Epoch: 9 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.23359 (0.23647) Boundary_loss: 0.012943 (0.012887) Loss: 0.24654 (0.24935) +2025-08-24,02:29:09 | INFO | Train Epoch: 9 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.26188 (0.23653) Boundary_loss: 0.012879 (0.012887) Loss: 0.27476 (0.24942) +2025-08-24,02:30:08 | INFO | Train Epoch: 9 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.24005 (0.23654) Boundary_loss: 0.012889 (0.012887) Loss: 0.25293 (0.24943) +2025-08-24,02:31:06 | INFO | Train Epoch: 9 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.21049 (0.23647) Boundary_loss: 0.012993 (0.012887) Loss: 0.22348 (0.24936) +2025-08-24,02:32:05 | INFO | Train Epoch: 9 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.22569 (0.23645) Boundary_loss: 0.012869 (0.012887) Loss: 0.23855 (0.24933) +2025-08-24,02:33:04 | INFO | Train Epoch: 9 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.34126 (0.23672) Boundary_loss: 0.012855 (0.012887) Loss: 0.35411 (0.24960) +2025-08-24,02:34:03 | INFO | Train Epoch: 9 [19814912/26365952 (75%)] Avg Boundaries (per batch): 18.979 Boundary Ratio: 0.097 Contrastive_loss: 0.22645 (0.23669) Boundary_loss: 0.012912 (0.012887) Loss: 0.23936 (0.24958) +2025-08-24,02:35:01 | INFO | Train Epoch: 9 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.28395 (0.23681) Boundary_loss: 0.012816 (0.012887) Loss: 0.29677 (0.24970) +2025-08-24,02:36:00 | INFO | Train Epoch: 9 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.15533 (0.23660) Boundary_loss: 0.012859 (0.012887) Loss: 0.16819 (0.24949) +2025-08-24,02:36:59 | INFO | Train Epoch: 9 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.24514 (0.23662) Boundary_loss: 0.012888 (0.012887) Loss: 0.25803 (0.24951) +2025-08-24,02:37:58 | INFO | Train Epoch: 9 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.27850 (0.23673) Boundary_loss: 0.012820 (0.012886) Loss: 0.29132 (0.24962) +2025-08-24,02:38:56 | INFO | Train Epoch: 9 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.23567 (0.23673) Boundary_loss: 0.012864 (0.012886) Loss: 0.24853 (0.24962) +2025-08-24,02:39:55 | INFO | Train Epoch: 9 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.20875 (0.23666) Boundary_loss: 0.012897 (0.012886) Loss: 0.22165 (0.24954) +2025-08-24,02:40:54 | INFO | Train Epoch: 9 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.22899 (0.23664) Boundary_loss: 0.012887 (0.012886) Loss: 0.24188 (0.24952) +2025-08-24,02:41:53 | INFO | Train Epoch: 9 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.25094 (0.23667) Boundary_loss: 0.012832 (0.012886) Loss: 0.26377 (0.24956) +2025-08-24,02:42:51 | INFO | Train Epoch: 9 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.23863 (0.23668) Boundary_loss: 0.012887 (0.012886) Loss: 0.25152 (0.24957) +2025-08-24,02:43:50 | INFO | Train Epoch: 9 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.23912 (0.23669) Boundary_loss: 0.012813 (0.012886) Loss: 0.25194 (0.24957) +2025-08-24,02:44:49 | INFO | Train Epoch: 9 [20378112/26365952 (77%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.19688 (0.23659) Boundary_loss: 0.012842 (0.012886) Loss: 0.20973 (0.24947) +2025-08-24,02:45:48 | INFO | Train Epoch: 9 [20429312/26365952 (77%)] Avg Boundaries (per batch): 18.912 Boundary Ratio: 0.096 Contrastive_loss: 0.22811 (0.23656) Boundary_loss: 0.012967 (0.012886) Loss: 0.24108 (0.24945) +2025-08-24,02:46:46 | INFO | Train Epoch: 9 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.17617 (0.23641) Boundary_loss: 0.012806 (0.012886) Loss: 0.18898 (0.24930) +2025-08-24,02:47:45 | INFO | Train Epoch: 9 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.17206 (0.23625) Boundary_loss: 0.012893 (0.012886) Loss: 0.18496 (0.24914) +2025-08-24,02:48:44 | INFO | Train Epoch: 9 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.28668 (0.23638) Boundary_loss: 0.012902 (0.012886) Loss: 0.29959 (0.24927) +2025-08-24,02:49:43 | INFO | Train Epoch: 9 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.23252 (0.23637) Boundary_loss: 0.012917 (0.012886) Loss: 0.24544 (0.24926) +2025-08-24,02:50:42 | INFO | Train Epoch: 9 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.27380 (0.23646) Boundary_loss: 0.012831 (0.012886) Loss: 0.28663 (0.24935) +2025-08-24,02:51:40 | INFO | Train Epoch: 9 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.30546 (0.23663) Boundary_loss: 0.012828 (0.012886) Loss: 0.31829 (0.24952) +2025-08-24,02:52:39 | INFO | Train Epoch: 9 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.23042 (0.23662) Boundary_loss: 0.012859 (0.012886) Loss: 0.24328 (0.24950) +2025-08-24,02:53:38 | INFO | Train Epoch: 9 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.21500 (0.23656) Boundary_loss: 0.012808 (0.012886) Loss: 0.22781 (0.24945) +2025-08-24,02:54:36 | INFO | Train Epoch: 9 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.22606 (0.23654) Boundary_loss: 0.012851 (0.012885) Loss: 0.23891 (0.24942) +2025-08-24,02:55:35 | INFO | Train Epoch: 9 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.22280 (0.23650) Boundary_loss: 0.012853 (0.012885) Loss: 0.23565 (0.24939) +2025-08-24,02:56:34 | INFO | Train Epoch: 9 [20992512/26365952 (80%)] Avg Boundaries (per batch): 18.957 Boundary Ratio: 0.097 Contrastive_loss: 0.22803 (0.23648) Boundary_loss: 0.012883 (0.012885) Loss: 0.24091 (0.24937) +2025-08-24,02:57:33 | INFO | Train Epoch: 9 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.31382 (0.23667) Boundary_loss: 0.012937 (0.012885) Loss: 0.32676 (0.24956) +2025-08-24,02:58:31 | INFO | Train Epoch: 9 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.26657 (0.23674) Boundary_loss: 0.012859 (0.012885) Loss: 0.27943 (0.24963) +2025-08-24,02:59:30 | INFO | Train Epoch: 9 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.26397 (0.23681) Boundary_loss: 0.012755 (0.012885) Loss: 0.27673 (0.24969) +2025-08-24,03:00:29 | INFO | Train Epoch: 9 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.25881 (0.23686) Boundary_loss: 0.012879 (0.012885) Loss: 0.27169 (0.24975) +2025-08-24,03:01:28 | INFO | Train Epoch: 9 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.25635 (0.23691) Boundary_loss: 0.012876 (0.012885) Loss: 0.26923 (0.24979) +2025-08-24,03:02:26 | INFO | Train Epoch: 9 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.25896 (0.23696) Boundary_loss: 0.012968 (0.012885) Loss: 0.27193 (0.24985) +2025-08-24,03:03:25 | INFO | Train Epoch: 9 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.25849 (0.23701) Boundary_loss: 0.012910 (0.012885) Loss: 0.27140 (0.24990) +2025-08-24,03:04:24 | INFO | Train Epoch: 9 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.23988 (0.23702) Boundary_loss: 0.012891 (0.012885) Loss: 0.25277 (0.24991) +2025-08-24,03:05:23 | INFO | Train Epoch: 9 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.25366 (0.23706) Boundary_loss: 0.012851 (0.012885) Loss: 0.26651 (0.24995) +2025-08-24,03:06:21 | INFO | Train Epoch: 9 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.19953 (0.23697) Boundary_loss: 0.012903 (0.012885) Loss: 0.21243 (0.24986) +2025-08-24,03:07:20 | INFO | Train Epoch: 9 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.24450 (0.23699) Boundary_loss: 0.012859 (0.012885) Loss: 0.25736 (0.24987) +2025-08-24,03:08:19 | INFO | Train Epoch: 9 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.21576 (0.23694) Boundary_loss: 0.012936 (0.012885) Loss: 0.22869 (0.24982) +2025-08-24,03:09:18 | INFO | Train Epoch: 9 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.22553 (0.23691) Boundary_loss: 0.012800 (0.012885) Loss: 0.23833 (0.24980) +2025-08-24,03:10:16 | INFO | Train Epoch: 9 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.17555 (0.23677) Boundary_loss: 0.012815 (0.012885) Loss: 0.18837 (0.24965) +2025-08-24,03:11:15 | INFO | Train Epoch: 9 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.22245 (0.23673) Boundary_loss: 0.012827 (0.012885) Loss: 0.23527 (0.24962) +2025-08-24,03:12:14 | INFO | Train Epoch: 9 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.27784 (0.23683) Boundary_loss: 0.012769 (0.012885) Loss: 0.29061 (0.24971) +2025-08-24,03:13:12 | INFO | Train Epoch: 9 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.20904 (0.23677) Boundary_loss: 0.012762 (0.012884) Loss: 0.22180 (0.24965) +2025-08-24,03:14:11 | INFO | Train Epoch: 9 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.29813 (0.23691) Boundary_loss: 0.012918 (0.012884) Loss: 0.31105 (0.24979) +2025-08-24,03:15:10 | INFO | Train Epoch: 9 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.28896 (0.23703) Boundary_loss: 0.012875 (0.012884) Loss: 0.30184 (0.24991) +2025-08-24,03:16:08 | INFO | Train Epoch: 9 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.19129 (0.23692) Boundary_loss: 0.012841 (0.012884) Loss: 0.20413 (0.24981) +2025-08-24,03:17:07 | INFO | Train Epoch: 9 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.24518 (0.23694) Boundary_loss: 0.012928 (0.012884) Loss: 0.25811 (0.24983) +2025-08-24,03:18:06 | INFO | Train Epoch: 9 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.20766 (0.23687) Boundary_loss: 0.012825 (0.012884) Loss: 0.22048 (0.24976) +2025-08-24,03:19:05 | INFO | Train Epoch: 9 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.27853 (0.23697) Boundary_loss: 0.012870 (0.012884) Loss: 0.29140 (0.24985) +2025-08-24,03:20:03 | INFO | Train Epoch: 9 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.27052 (0.23705) Boundary_loss: 0.012827 (0.012884) Loss: 0.28334 (0.24993) +2025-08-24,03:21:02 | INFO | Train Epoch: 9 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.29825 (0.23719) Boundary_loss: 0.012832 (0.012884) Loss: 0.31108 (0.25007) +2025-08-24,03:22:01 | INFO | Train Epoch: 9 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.25268 (0.23722) Boundary_loss: 0.012769 (0.012884) Loss: 0.26545 (0.25011) +2025-08-24,03:22:59 | INFO | Train Epoch: 9 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.23554 (0.23722) Boundary_loss: 0.012937 (0.012884) Loss: 0.24848 (0.25010) +2025-08-24,03:23:58 | INFO | Train Epoch: 9 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.20356 (0.23714) Boundary_loss: 0.012879 (0.012884) Loss: 0.21644 (0.25003) +2025-08-24,03:24:57 | INFO | Train Epoch: 9 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.21872 (0.23710) Boundary_loss: 0.012879 (0.012884) Loss: 0.23160 (0.24999) +2025-08-24,03:25:56 | INFO | Train Epoch: 9 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.20508 (0.23703) Boundary_loss: 0.012886 (0.012884) Loss: 0.21796 (0.24991) +2025-08-24,03:26:54 | INFO | Train Epoch: 9 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.23324 (0.23702) Boundary_loss: 0.012865 (0.012884) Loss: 0.24611 (0.24990) +2025-08-24,03:27:53 | INFO | Train Epoch: 9 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.24025 (0.23703) Boundary_loss: 0.012948 (0.012884) Loss: 0.25320 (0.24991) +2025-08-24,03:28:52 | INFO | Train Epoch: 9 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.25734 (0.23707) Boundary_loss: 0.012811 (0.012884) Loss: 0.27015 (0.24996) +2025-08-24,03:29:50 | INFO | Train Epoch: 9 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.25376 (0.23711) Boundary_loss: 0.012935 (0.012884) Loss: 0.26670 (0.24999) +2025-08-24,03:30:49 | INFO | Train Epoch: 9 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.22335 (0.23708) Boundary_loss: 0.012801 (0.012884) Loss: 0.23615 (0.24996) +2025-08-24,03:31:48 | INFO | Train Epoch: 9 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.24971 (0.23711) Boundary_loss: 0.012881 (0.012884) Loss: 0.26259 (0.24999) +2025-08-24,03:32:46 | INFO | Train Epoch: 9 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.21547 (0.23706) Boundary_loss: 0.012950 (0.012884) Loss: 0.22842 (0.24994) +2025-08-24,03:33:45 | INFO | Train Epoch: 9 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.23696 (0.23706) Boundary_loss: 0.012838 (0.012884) Loss: 0.24980 (0.24994) +2025-08-24,03:34:44 | INFO | Train Epoch: 9 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.25593 (0.23710) Boundary_loss: 0.012937 (0.012884) Loss: 0.26887 (0.24999) +2025-08-24,03:35:43 | INFO | Train Epoch: 9 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.22470 (0.23707) Boundary_loss: 0.012856 (0.012884) Loss: 0.23756 (0.24996) +2025-08-24,03:36:41 | INFO | Train Epoch: 9 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.24575 (0.23709) Boundary_loss: 0.012841 (0.012884) Loss: 0.25859 (0.24998) +2025-08-24,03:37:40 | INFO | Train Epoch: 9 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.22810 (0.23707) Boundary_loss: 0.012819 (0.012884) Loss: 0.24092 (0.24996) +2025-08-24,03:38:39 | INFO | Train Epoch: 9 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.24140 (0.23708) Boundary_loss: 0.012869 (0.012883) Loss: 0.25426 (0.24997) +2025-08-24,03:39:38 | INFO | Train Epoch: 9 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.20693 (0.23702) Boundary_loss: 0.012900 (0.012884) Loss: 0.21983 (0.24990) +2025-08-24,03:40:36 | INFO | Train Epoch: 9 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.658 Boundary Ratio: 0.100 Contrastive_loss: 0.22400 (0.23699) Boundary_loss: 0.012972 (0.012884) Loss: 0.23698 (0.24987) +2025-08-24,03:41:35 | INFO | Train Epoch: 9 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.20530 (0.23692) Boundary_loss: 0.012907 (0.012884) Loss: 0.21821 (0.24980) +2025-08-24,03:42:34 | INFO | Train Epoch: 9 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.24766 (0.23694) Boundary_loss: 0.012872 (0.012884) Loss: 0.26054 (0.24983) +2025-08-24,03:43:32 | INFO | Train Epoch: 9 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.19968 (0.23686) Boundary_loss: 0.012838 (0.012884) Loss: 0.21251 (0.24974) +2025-08-24,03:44:31 | INFO | Train Epoch: 9 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.15494 (0.23668) Boundary_loss: 0.012845 (0.012884) Loss: 0.16778 (0.24957) +2025-08-24,03:45:30 | INFO | Train Epoch: 9 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.24448 (0.23670) Boundary_loss: 0.012861 (0.012884) Loss: 0.25734 (0.24958) +2025-08-24,03:46:28 | INFO | Train Epoch: 9 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.27286 (0.23678) Boundary_loss: 0.012800 (0.012883) Loss: 0.28566 (0.24966) +2025-08-24,03:47:27 | INFO | Train Epoch: 9 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.23235 (0.23677) Boundary_loss: 0.012947 (0.012883) Loss: 0.24530 (0.24965) +2025-08-24,03:48:26 | INFO | Train Epoch: 9 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.22146 (0.23674) Boundary_loss: 0.012811 (0.012883) Loss: 0.23427 (0.24962) +2025-08-24,03:49:25 | INFO | Train Epoch: 9 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.24146 (0.23675) Boundary_loss: 0.012828 (0.012883) Loss: 0.25429 (0.24963) +2025-08-24,03:50:23 | INFO | Train Epoch: 9 [23808512/26365952 (90%)] Avg Boundaries (per batch): 18.973 Boundary Ratio: 0.097 Contrastive_loss: 0.18918 (0.23664) Boundary_loss: 0.012992 (0.012883) Loss: 0.20217 (0.24953) +2025-08-24,03:51:22 | INFO | Train Epoch: 9 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.20100 (0.23657) Boundary_loss: 0.012839 (0.012883) Loss: 0.21384 (0.24945) +2025-08-24,03:52:21 | INFO | Train Epoch: 9 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.19456 (0.23648) Boundary_loss: 0.012788 (0.012883) Loss: 0.20735 (0.24936) +2025-08-24,03:53:19 | INFO | Train Epoch: 9 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.14868 (0.23629) Boundary_loss: 0.012875 (0.012883) Loss: 0.16155 (0.24917) +2025-08-24,03:54:18 | INFO | Train Epoch: 9 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.23509 (0.23629) Boundary_loss: 0.012834 (0.012883) Loss: 0.24792 (0.24917) +2025-08-24,03:55:17 | INFO | Train Epoch: 9 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.19748 (0.23621) Boundary_loss: 0.012857 (0.012883) Loss: 0.21033 (0.24909) +2025-08-24,03:56:15 | INFO | Train Epoch: 9 [24115712/26365952 (91%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.20655 (0.23614) Boundary_loss: 0.012837 (0.012883) Loss: 0.21939 (0.24903) +2025-08-24,03:57:14 | INFO | Train Epoch: 9 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.27305 (0.23622) Boundary_loss: 0.012892 (0.012883) Loss: 0.28595 (0.24910) +2025-08-24,03:58:13 | INFO | Train Epoch: 9 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.28580 (0.23633) Boundary_loss: 0.012905 (0.012883) Loss: 0.29871 (0.24921) +2025-08-24,03:59:11 | INFO | Train Epoch: 9 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.24935 (0.23635) Boundary_loss: 0.012906 (0.012883) Loss: 0.26226 (0.24924) +2025-08-24,04:00:10 | INFO | Train Epoch: 9 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.27868 (0.23644) Boundary_loss: 0.012929 (0.012883) Loss: 0.29161 (0.24932) +2025-08-24,04:01:09 | INFO | Train Epoch: 9 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.22810 (0.23642) Boundary_loss: 0.012927 (0.012883) Loss: 0.24103 (0.24931) +2025-08-24,04:02:07 | INFO | Train Epoch: 9 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.20378 (0.23636) Boundary_loss: 0.012928 (0.012883) Loss: 0.21671 (0.24924) +2025-08-24,04:03:06 | INFO | Train Epoch: 9 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.23230 (0.23635) Boundary_loss: 0.012803 (0.012883) Loss: 0.24510 (0.24923) +2025-08-24,04:04:05 | INFO | Train Epoch: 9 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.25396 (0.23638) Boundary_loss: 0.012927 (0.012883) Loss: 0.26688 (0.24927) +2025-08-24,04:05:04 | INFO | Train Epoch: 9 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.27783 (0.23647) Boundary_loss: 0.012987 (0.012883) Loss: 0.29081 (0.24935) +2025-08-24,04:06:02 | INFO | Train Epoch: 9 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.21439 (0.23642) Boundary_loss: 0.012930 (0.012883) Loss: 0.22732 (0.24931) +2025-08-24,04:07:01 | INFO | Train Epoch: 9 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.24729 (0.23645) Boundary_loss: 0.012900 (0.012884) Loss: 0.26019 (0.24933) +2025-08-24,04:08:00 | INFO | Train Epoch: 9 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.23107 (0.23644) Boundary_loss: 0.012968 (0.012884) Loss: 0.24404 (0.24932) +2025-08-24,04:08:59 | INFO | Train Epoch: 9 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.21500 (0.23639) Boundary_loss: 0.012859 (0.012884) Loss: 0.22785 (0.24928) +2025-08-24,04:09:57 | INFO | Train Epoch: 9 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.18722 (0.23629) Boundary_loss: 0.012915 (0.012884) Loss: 0.20013 (0.24917) +2025-08-24,04:10:56 | INFO | Train Epoch: 9 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.24923 (0.23632) Boundary_loss: 0.013059 (0.012884) Loss: 0.26229 (0.24920) +2025-08-24,04:11:55 | INFO | Train Epoch: 9 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.29663 (0.23644) Boundary_loss: 0.012751 (0.012884) Loss: 0.30938 (0.24932) +2025-08-24,04:12:54 | INFO | Train Epoch: 9 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.23576 (0.23644) Boundary_loss: 0.012907 (0.012884) Loss: 0.24866 (0.24932) +2025-08-24,04:13:52 | INFO | Train Epoch: 9 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.29104 (0.23655) Boundary_loss: 0.012933 (0.012884) Loss: 0.30397 (0.24943) +2025-08-24,04:14:51 | INFO | Train Epoch: 9 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.21337 (0.23650) Boundary_loss: 0.012890 (0.012884) Loss: 0.22626 (0.24939) +2025-08-24,04:15:50 | INFO | Train Epoch: 9 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.24440 (0.23652) Boundary_loss: 0.012828 (0.012884) Loss: 0.25723 (0.24940) +2025-08-24,04:16:48 | INFO | Train Epoch: 9 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.30186 (0.23665) Boundary_loss: 0.012806 (0.012884) Loss: 0.31467 (0.24954) +2025-08-24,04:17:47 | INFO | Train Epoch: 9 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.23960 (0.23666) Boundary_loss: 0.012894 (0.012884) Loss: 0.25249 (0.24954) +2025-08-24,04:18:46 | INFO | Train Epoch: 9 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.22470 (0.23663) Boundary_loss: 0.012926 (0.012884) Loss: 0.23763 (0.24952) +2025-08-24,04:19:45 | INFO | Train Epoch: 9 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.25146 (0.23666) Boundary_loss: 0.012812 (0.012884) Loss: 0.26428 (0.24955) +2025-08-24,04:20:43 | INFO | Train Epoch: 9 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.20118 (0.23659) Boundary_loss: 0.012896 (0.012884) Loss: 0.21407 (0.24948) +2025-08-24,04:21:42 | INFO | Train Epoch: 9 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.19651 (0.23651) Boundary_loss: 0.012933 (0.012884) Loss: 0.20944 (0.24940) +2025-08-24,04:22:41 | INFO | Train Epoch: 9 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.23515 (0.23651) Boundary_loss: 0.012887 (0.012884) Loss: 0.24804 (0.24939) +2025-08-24,04:23:40 | INFO | Train Epoch: 9 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.33858 (0.23671) Boundary_loss: 0.012823 (0.012884) Loss: 0.35140 (0.24960) +2025-08-24,04:24:38 | INFO | Train Epoch: 9 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.621 Boundary Ratio: 0.100 Contrastive_loss: 0.22361 (0.23669) Boundary_loss: 0.012959 (0.012884) Loss: 0.23657 (0.24957) +2025-08-24,04:25:37 | INFO | Train Epoch: 9 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.22274 (0.23666) Boundary_loss: 0.012860 (0.012884) Loss: 0.23560 (0.24954) +2025-08-24,04:26:36 | INFO | Train Epoch: 9 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.25095 (0.23669) Boundary_loss: 0.012896 (0.012884) Loss: 0.26384 (0.24957) +2025-08-24,04:27:35 | INFO | Train Epoch: 9 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.21469 (0.23664) Boundary_loss: 0.012852 (0.012884) Loss: 0.22754 (0.24953) +2025-08-24,04:28:33 | INFO | Train Epoch: 9 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.21373 (0.23660) Boundary_loss: 0.012880 (0.012884) Loss: 0.22661 (0.24948) +2025-08-24,04:29:32 | INFO | Train Epoch: 9 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.23925 (0.23660) Boundary_loss: 0.012808 (0.012884) Loss: 0.25206 (0.24949) +2025-08-24,04:30:31 | INFO | Train Epoch: 9 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.23802 (0.23661) Boundary_loss: 0.012824 (0.012883) Loss: 0.25084 (0.24949) +2025-08-24,04:31:29 | INFO | Train Epoch: 9 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.21133 (0.23656) Boundary_loss: 0.012924 (0.012884) Loss: 0.22425 (0.24944) +2025-08-24,04:32:28 | INFO | Train Epoch: 9 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.22455 (0.23653) Boundary_loss: 0.012875 (0.012884) Loss: 0.23742 (0.24942) +2025-08-24,04:33:27 | INFO | Train Epoch: 9 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.25878 (0.23658) Boundary_loss: 0.012843 (0.012883) Loss: 0.27162 (0.24946) +2025-08-24,04:34:26 | INFO | Train Epoch: 9 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.17101 (0.23645) Boundary_loss: 0.013043 (0.012884) Loss: 0.18405 (0.24933) +2025-08-24,04:35:24 | INFO | Train Epoch: 9 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.25483 (0.23648) Boundary_loss: 0.012980 (0.012884) Loss: 0.26781 (0.24937) +2025-08-24,04:36:23 | INFO | Train Epoch: 9 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.25825 (0.23653) Boundary_loss: 0.012825 (0.012884) Loss: 0.27107 (0.24941) +2025-08-24,04:37:22 | INFO | Train Epoch: 9 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.25771 (0.23657) Boundary_loss: 0.012942 (0.012884) Loss: 0.27065 (0.24945) +2025-08-24,04:38:21 | INFO | Train Epoch: 9 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.004 Boundary Ratio: 0.097 Contrastive_loss: 0.21169 (0.23652) Boundary_loss: 0.012821 (0.012884) Loss: 0.22451 (0.24940) +2025-08-24,04:39:16 | INFO | Train Epoch: 9 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.23728 (0.23652) Boundary_loss: 0.012940 (0.012884) Loss: 0.25022 (0.24941) +2025-08-24,04:39:16 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-24,04:39:16 | INFO | [Epoch 9] Average Step Time: 0.591s | Average GPU Memory: 33.4 GB +2025-08-24,04:39:16 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-24,04:39:16 | INFO | Starting zero-shot imagenet. +2025-08-24,04:39:16 | INFO | Building zero-shot classifier +2025-08-24,04:39:26 | INFO | Using classifier +2025-08-24,04:40:10 | INFO | Finished zero-shot imagenet. +2025-08-24,04:40:10 | INFO | Eval Epoch: 10 imagenet-zeroshot-val-top1: 0.2958 imagenet-zeroshot-val-top5: 0.5638 +2025-08-24,04:40:11 | INFO | Start epoch 10 +2025-08-24,04:40:14 | INFO | Train Epoch: 10 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.20572 (0.20572) Boundary_loss: 0.012856 (0.012856) Loss: 0.21858 (0.21858) +2025-08-24,04:41:12 | INFO | Train Epoch: 10 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.19797 (0.20185) Boundary_loss: 0.012854 (0.012855) Loss: 0.21083 (0.21470) +2025-08-24,04:42:11 | INFO | Train Epoch: 10 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.25105 (0.21825) Boundary_loss: 0.012898 (0.012869) Loss: 0.26394 (0.23112) +2025-08-24,04:43:10 | INFO | Train Epoch: 10 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.20714 (0.21547) Boundary_loss: 0.012953 (0.012890) Loss: 0.22009 (0.22836) +2025-08-24,04:44:08 | INFO | Train Epoch: 10 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.22357 (0.21709) Boundary_loss: 0.012903 (0.012893) Loss: 0.23647 (0.22998) +2025-08-24,04:45:07 | INFO | Train Epoch: 10 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.17573 (0.21020) Boundary_loss: 0.013008 (0.012912) Loss: 0.18874 (0.22311) +2025-08-24,04:46:06 | INFO | Train Epoch: 10 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.16281 (0.20343) Boundary_loss: 0.012845 (0.012902) Loss: 0.17565 (0.21633) +2025-08-24,04:47:05 | INFO | Train Epoch: 10 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.21701 (0.20512) Boundary_loss: 0.012799 (0.012890) Loss: 0.22981 (0.21801) +2025-08-24,04:48:03 | INFO | Train Epoch: 10 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.16503 (0.20067) Boundary_loss: 0.012848 (0.012885) Loss: 0.17787 (0.21355) +2025-08-24,04:49:02 | INFO | Train Epoch: 10 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.24364 (0.20497) Boundary_loss: 0.012802 (0.012877) Loss: 0.25644 (0.21784) +2025-08-24,04:50:01 | INFO | Train Epoch: 10 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.20376 (0.20486) Boundary_loss: 0.012831 (0.012873) Loss: 0.21659 (0.21773) +2025-08-24,04:50:59 | INFO | Train Epoch: 10 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.23365 (0.20726) Boundary_loss: 0.012889 (0.012874) Loss: 0.24653 (0.22013) +2025-08-24,04:51:58 | INFO | Train Epoch: 10 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.613 Boundary Ratio: 0.100 Contrastive_loss: 0.17503 (0.20478) Boundary_loss: 0.012884 (0.012875) Loss: 0.18791 (0.21765) +2025-08-24,04:52:57 | INFO | Train Epoch: 10 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.18953 (0.20369) Boundary_loss: 0.012917 (0.012878) Loss: 0.20244 (0.21657) +2025-08-24,04:53:55 | INFO | Train Epoch: 10 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.17153 (0.20154) Boundary_loss: 0.012825 (0.012874) Loss: 0.18436 (0.21442) +2025-08-24,04:54:54 | INFO | Train Epoch: 10 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.15189 (0.19844) Boundary_loss: 0.012804 (0.012870) Loss: 0.16470 (0.21131) +2025-08-24,04:55:53 | INFO | Train Epoch: 10 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.22228 (0.19984) Boundary_loss: 0.012902 (0.012872) Loss: 0.23518 (0.21271) +2025-08-24,04:56:52 | INFO | Train Epoch: 10 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.19341 (0.19949) Boundary_loss: 0.012959 (0.012877) Loss: 0.20636 (0.21236) +2025-08-24,04:57:50 | INFO | Train Epoch: 10 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.22641 (0.20090) Boundary_loss: 0.012939 (0.012880) Loss: 0.23935 (0.21378) +2025-08-24,04:58:49 | INFO | Train Epoch: 10 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.20632 (0.20117) Boundary_loss: 0.012889 (0.012880) Loss: 0.21921 (0.21405) +2025-08-24,04:59:48 | INFO | Train Epoch: 10 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.20159 (0.20119) Boundary_loss: 0.012766 (0.012875) Loss: 0.21435 (0.21407) +2025-08-24,05:00:46 | INFO | Train Epoch: 10 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.13467 (0.19817) Boundary_loss: 0.012873 (0.012875) Loss: 0.14754 (0.21104) +2025-08-24,05:01:45 | INFO | Train Epoch: 10 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.18373 (0.19754) Boundary_loss: 0.012873 (0.012875) Loss: 0.19660 (0.21042) +2025-08-24,05:02:43 | INFO | Train Epoch: 10 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.14780 (0.19547) Boundary_loss: 0.012967 (0.012879) Loss: 0.16077 (0.20835) +2025-08-24,05:03:42 | INFO | Train Epoch: 10 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.19448 (0.19543) Boundary_loss: 0.012855 (0.012878) Loss: 0.20733 (0.20831) +2025-08-24,05:04:41 | INFO | Train Epoch: 10 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.18886 (0.19518) Boundary_loss: 0.012856 (0.012877) Loss: 0.20172 (0.20805) +2025-08-24,05:05:39 | INFO | Train Epoch: 10 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.15194 (0.19358) Boundary_loss: 0.012912 (0.012878) Loss: 0.16486 (0.20645) +2025-08-24,05:06:38 | INFO | Train Epoch: 10 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.19617 (0.19367) Boundary_loss: 0.012819 (0.012876) Loss: 0.20898 (0.20654) +2025-08-24,05:07:37 | INFO | Train Epoch: 10 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.17656 (0.19308) Boundary_loss: 0.012882 (0.012876) Loss: 0.18944 (0.20595) +2025-08-24,05:08:35 | INFO | Train Epoch: 10 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.615 Boundary Ratio: 0.100 Contrastive_loss: 0.17261 (0.19240) Boundary_loss: 0.012909 (0.012877) Loss: 0.18552 (0.20527) +2025-08-24,05:09:34 | INFO | Train Epoch: 10 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.18054 (0.19201) Boundary_loss: 0.012925 (0.012879) Loss: 0.19346 (0.20489) +2025-08-24,05:10:33 | INFO | Train Epoch: 10 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 18.980 Boundary Ratio: 0.097 Contrastive_loss: 0.18858 (0.19191) Boundary_loss: 0.012874 (0.012879) Loss: 0.20145 (0.20478) +2025-08-24,05:11:31 | INFO | Train Epoch: 10 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.22400 (0.19288) Boundary_loss: 0.012902 (0.012879) Loss: 0.23690 (0.20576) +2025-08-24,05:12:30 | INFO | Train Epoch: 10 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.20753 (0.19331) Boundary_loss: 0.012858 (0.012879) Loss: 0.22039 (0.20619) +2025-08-24,05:13:29 | INFO | Train Epoch: 10 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.21933 (0.19405) Boundary_loss: 0.012803 (0.012877) Loss: 0.23213 (0.20693) +2025-08-24,05:14:27 | INFO | Train Epoch: 10 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.18759 (0.19387) Boundary_loss: 0.012919 (0.012878) Loss: 0.20051 (0.20675) +2025-08-24,05:15:26 | INFO | Train Epoch: 10 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.19328 (0.19386) Boundary_loss: 0.012748 (0.012874) Loss: 0.20603 (0.20673) +2025-08-24,05:16:24 | INFO | Train Epoch: 10 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.29860 (0.19661) Boundary_loss: 0.012860 (0.012874) Loss: 0.31146 (0.20949) +2025-08-24,05:17:23 | INFO | Train Epoch: 10 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.22143 (0.19725) Boundary_loss: 0.012800 (0.012872) Loss: 0.23423 (0.21012) +2025-08-24,05:18:22 | INFO | Train Epoch: 10 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 18.912 Boundary Ratio: 0.096 Contrastive_loss: 0.22571 (0.19796) Boundary_loss: 0.012849 (0.012871) Loss: 0.23856 (0.21083) +2025-08-24,05:19:20 | INFO | Train Epoch: 10 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.17161 (0.19732) Boundary_loss: 0.012855 (0.012871) Loss: 0.18447 (0.21019) +2025-08-24,05:20:19 | INFO | Train Epoch: 10 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.18693 (0.19707) Boundary_loss: 0.012821 (0.012870) Loss: 0.19975 (0.20994) +2025-08-24,05:21:18 | INFO | Train Epoch: 10 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.18998 (0.19691) Boundary_loss: 0.012909 (0.012871) Loss: 0.20289 (0.20978) +2025-08-24,05:22:16 | INFO | Train Epoch: 10 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.16826 (0.19626) Boundary_loss: 0.012903 (0.012871) Loss: 0.18117 (0.20913) +2025-08-24,05:23:15 | INFO | Train Epoch: 10 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.19766 (0.19629) Boundary_loss: 0.012826 (0.012870) Loss: 0.21048 (0.20916) +2025-08-24,05:24:14 | INFO | Train Epoch: 10 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.26986 (0.19789) Boundary_loss: 0.012816 (0.012869) Loss: 0.28268 (0.21076) +2025-08-24,05:25:12 | INFO | Train Epoch: 10 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.21415 (0.19823) Boundary_loss: 0.012855 (0.012869) Loss: 0.22700 (0.21110) +2025-08-24,05:26:11 | INFO | Train Epoch: 10 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.15362 (0.19730) Boundary_loss: 0.012972 (0.012871) Loss: 0.16659 (0.21017) +2025-08-24,05:27:09 | INFO | Train Epoch: 10 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.23616 (0.19810) Boundary_loss: 0.012907 (0.012872) Loss: 0.24906 (0.21097) +2025-08-24,05:28:08 | INFO | Train Epoch: 10 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.18839 (0.19790) Boundary_loss: 0.012865 (0.012872) Loss: 0.20125 (0.21077) +2025-08-24,05:29:07 | INFO | Train Epoch: 10 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.21002 (0.19814) Boundary_loss: 0.012809 (0.012870) Loss: 0.22283 (0.21101) +2025-08-24,05:30:05 | INFO | Train Epoch: 10 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.24431 (0.19903) Boundary_loss: 0.012812 (0.012869) Loss: 0.25712 (0.21190) +2025-08-24,05:31:04 | INFO | Train Epoch: 10 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.19742 (0.19900) Boundary_loss: 0.012798 (0.012868) Loss: 0.21022 (0.21186) +2025-08-24,05:32:03 | INFO | Train Epoch: 10 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.14481 (0.19799) Boundary_loss: 0.012869 (0.012868) Loss: 0.15768 (0.21086) +2025-08-24,05:33:01 | INFO | Train Epoch: 10 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.19566 (0.19795) Boundary_loss: 0.012762 (0.012866) Loss: 0.20842 (0.21082) +2025-08-24,05:34:00 | INFO | Train Epoch: 10 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.16850 (0.19742) Boundary_loss: 0.012829 (0.012865) Loss: 0.18133 (0.21029) +2025-08-24,05:34:59 | INFO | Train Epoch: 10 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.20468 (0.19755) Boundary_loss: 0.012852 (0.012865) Loss: 0.21753 (0.21042) +2025-08-24,05:35:57 | INFO | Train Epoch: 10 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.16202 (0.19694) Boundary_loss: 0.012787 (0.012864) Loss: 0.17480 (0.20980) +2025-08-24,05:36:56 | INFO | Train Epoch: 10 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.18346 (0.19671) Boundary_loss: 0.012773 (0.012862) Loss: 0.19623 (0.20957) +2025-08-24,05:37:54 | INFO | Train Epoch: 10 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.20731 (0.19689) Boundary_loss: 0.012851 (0.012862) Loss: 0.22016 (0.20975) +2025-08-24,05:38:53 | INFO | Train Epoch: 10 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.19387 (0.19684) Boundary_loss: 0.012938 (0.012863) Loss: 0.20680 (0.20970) +2025-08-24,05:39:52 | INFO | Train Epoch: 10 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.20344 (0.19694) Boundary_loss: 0.012874 (0.012864) Loss: 0.21631 (0.20981) +2025-08-24,05:40:50 | INFO | Train Epoch: 10 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.16043 (0.19636) Boundary_loss: 0.012796 (0.012862) Loss: 0.17322 (0.20923) +2025-08-24,05:41:49 | INFO | Train Epoch: 10 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.20510 (0.19650) Boundary_loss: 0.012940 (0.012864) Loss: 0.21804 (0.20937) +2025-08-24,05:42:47 | INFO | Train Epoch: 10 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.21019 (0.19671) Boundary_loss: 0.012959 (0.012865) Loss: 0.22315 (0.20958) +2025-08-24,05:43:46 | INFO | Train Epoch: 10 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.19491 (0.19668) Boundary_loss: 0.012851 (0.012865) Loss: 0.20777 (0.20955) +2025-08-24,05:44:45 | INFO | Train Epoch: 10 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.18411 (0.19650) Boundary_loss: 0.012802 (0.012864) Loss: 0.19692 (0.20936) +2025-08-24,05:45:43 | INFO | Train Epoch: 10 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.25321 (0.19733) Boundary_loss: 0.012769 (0.012863) Loss: 0.26598 (0.21019) +2025-08-24,05:46:42 | INFO | Train Epoch: 10 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.19083 (0.19724) Boundary_loss: 0.012997 (0.012865) Loss: 0.20383 (0.21010) +2025-08-24,05:47:41 | INFO | Train Epoch: 10 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.13603 (0.19636) Boundary_loss: 0.012882 (0.012865) Loss: 0.14892 (0.20923) +2025-08-24,05:48:39 | INFO | Train Epoch: 10 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.19102 (0.19629) Boundary_loss: 0.012814 (0.012864) Loss: 0.20384 (0.20915) +2025-08-24,05:49:38 | INFO | Train Epoch: 10 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.18586 (0.19614) Boundary_loss: 0.012751 (0.012863) Loss: 0.19861 (0.20901) +2025-08-24,05:50:36 | INFO | Train Epoch: 10 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.19343 (0.19611) Boundary_loss: 0.012874 (0.012863) Loss: 0.20630 (0.20897) +2025-08-24,05:51:35 | INFO | Train Epoch: 10 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.18536 (0.19596) Boundary_loss: 0.012826 (0.012862) Loss: 0.19819 (0.20882) +2025-08-24,05:52:34 | INFO | Train Epoch: 10 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.19540 (0.19595) Boundary_loss: 0.012769 (0.012861) Loss: 0.20817 (0.20881) +2025-08-24,05:53:32 | INFO | Train Epoch: 10 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.19391 (0.19593) Boundary_loss: 0.012921 (0.012862) Loss: 0.20683 (0.20879) +2025-08-24,05:54:31 | INFO | Train Epoch: 10 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.20273 (0.19601) Boundary_loss: 0.012883 (0.012862) Loss: 0.21561 (0.20888) +2025-08-24,05:55:30 | INFO | Train Epoch: 10 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.23184 (0.19647) Boundary_loss: 0.012929 (0.012863) Loss: 0.24477 (0.20934) +2025-08-24,05:56:28 | INFO | Train Epoch: 10 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.24633 (0.19710) Boundary_loss: 0.012766 (0.012862) Loss: 0.25910 (0.20997) +2025-08-24,05:57:27 | INFO | Train Epoch: 10 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.24257 (0.19767) Boundary_loss: 0.012833 (0.012861) Loss: 0.25540 (0.21053) +2025-08-24,05:58:26 | INFO | Train Epoch: 10 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.18845 (0.19756) Boundary_loss: 0.012849 (0.012861) Loss: 0.20130 (0.21042) +2025-08-24,05:59:24 | INFO | Train Epoch: 10 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.18825 (0.19745) Boundary_loss: 0.012805 (0.012860) Loss: 0.20105 (0.21031) +2025-08-24,06:00:23 | INFO | Train Epoch: 10 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.13701 (0.19672) Boundary_loss: 0.012968 (0.012862) Loss: 0.14998 (0.20958) +2025-08-24,06:01:21 | INFO | Train Epoch: 10 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.19116 (0.19665) Boundary_loss: 0.012916 (0.012862) Loss: 0.20408 (0.20951) +2025-08-24,06:02:20 | INFO | Train Epoch: 10 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.463 Boundary Ratio: 0.099 Contrastive_loss: 0.18539 (0.19652) Boundary_loss: 0.012878 (0.012863) Loss: 0.19826 (0.20938) +2025-08-24,06:03:19 | INFO | Train Epoch: 10 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.17502 (0.19627) Boundary_loss: 0.012909 (0.012863) Loss: 0.18793 (0.20913) +2025-08-24,06:04:17 | INFO | Train Epoch: 10 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.18689 (0.19616) Boundary_loss: 0.012901 (0.012864) Loss: 0.19979 (0.20902) +2025-08-24,06:05:16 | INFO | Train Epoch: 10 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.16460 (0.19580) Boundary_loss: 0.012791 (0.012863) Loss: 0.17739 (0.20866) +2025-08-24,06:06:15 | INFO | Train Epoch: 10 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.19603 (0.19580) Boundary_loss: 0.012837 (0.012862) Loss: 0.20887 (0.20867) +2025-08-24,06:07:13 | INFO | Train Epoch: 10 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.18417 (0.19568) Boundary_loss: 0.012963 (0.012864) Loss: 0.19714 (0.20854) +2025-08-24,06:08:12 | INFO | Train Epoch: 10 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.17131 (0.19541) Boundary_loss: 0.012876 (0.012864) Loss: 0.18419 (0.20827) +2025-08-24,06:09:10 | INFO | Train Epoch: 10 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.660 Boundary Ratio: 0.100 Contrastive_loss: 0.22204 (0.19570) Boundary_loss: 0.012986 (0.012865) Loss: 0.23503 (0.20856) +2025-08-24,06:10:09 | INFO | Train Epoch: 10 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.17402 (0.19546) Boundary_loss: 0.012855 (0.012865) Loss: 0.18688 (0.20833) +2025-08-24,06:11:08 | INFO | Train Epoch: 10 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.18065 (0.19531) Boundary_loss: 0.012807 (0.012864) Loss: 0.19346 (0.20817) +2025-08-24,06:12:06 | INFO | Train Epoch: 10 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.16805 (0.19502) Boundary_loss: 0.012824 (0.012864) Loss: 0.18088 (0.20788) +2025-08-24,06:13:05 | INFO | Train Epoch: 10 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.17902 (0.19485) Boundary_loss: 0.012908 (0.012864) Loss: 0.19193 (0.20772) +2025-08-24,06:14:03 | INFO | Train Epoch: 10 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.23889 (0.19531) Boundary_loss: 0.012877 (0.012864) Loss: 0.25177 (0.20817) +2025-08-24,06:15:02 | INFO | Train Epoch: 10 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.16311 (0.19498) Boundary_loss: 0.013001 (0.012866) Loss: 0.17611 (0.20784) +2025-08-24,06:16:01 | INFO | Train Epoch: 10 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.22071 (0.19524) Boundary_loss: 0.012826 (0.012865) Loss: 0.23354 (0.20810) +2025-08-24,06:16:59 | INFO | Train Epoch: 10 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 18.982 Boundary Ratio: 0.097 Contrastive_loss: 0.23278 (0.19561) Boundary_loss: 0.012901 (0.012866) Loss: 0.24568 (0.20848) +2025-08-24,06:17:58 | INFO | Train Epoch: 10 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.19545 (0.19561) Boundary_loss: 0.012886 (0.012866) Loss: 0.20833 (0.20848) +2025-08-24,06:18:56 | INFO | Train Epoch: 10 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.14921 (0.19516) Boundary_loss: 0.012816 (0.012866) Loss: 0.16203 (0.20802) +2025-08-24,06:19:55 | INFO | Train Epoch: 10 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.20494 (0.19525) Boundary_loss: 0.012839 (0.012865) Loss: 0.21778 (0.20812) +2025-08-24,06:20:54 | INFO | Train Epoch: 10 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.12921 (0.19462) Boundary_loss: 0.012906 (0.012866) Loss: 0.14211 (0.20748) +2025-08-24,06:21:52 | INFO | Train Epoch: 10 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.22022 (0.19486) Boundary_loss: 0.012827 (0.012865) Loss: 0.23305 (0.20773) +2025-08-24,06:22:51 | INFO | Train Epoch: 10 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.15288 (0.19447) Boundary_loss: 0.012950 (0.012866) Loss: 0.16583 (0.20733) +2025-08-24,06:23:49 | INFO | Train Epoch: 10 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.25028 (0.19499) Boundary_loss: 0.012865 (0.012866) Loss: 0.26315 (0.20785) +2025-08-24,06:24:48 | INFO | Train Epoch: 10 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.19548 (0.19499) Boundary_loss: 0.012865 (0.012866) Loss: 0.20834 (0.20786) +2025-08-24,06:25:47 | INFO | Train Epoch: 10 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.564 Boundary Ratio: 0.100 Contrastive_loss: 0.12504 (0.19435) Boundary_loss: 0.012823 (0.012866) Loss: 0.13786 (0.20722) +2025-08-24,06:26:45 | INFO | Train Epoch: 10 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.21566 (0.19454) Boundary_loss: 0.012967 (0.012867) Loss: 0.22863 (0.20741) +2025-08-24,06:27:44 | INFO | Train Epoch: 10 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.21270 (0.19471) Boundary_loss: 0.012842 (0.012866) Loss: 0.22554 (0.20757) +2025-08-24,06:28:43 | INFO | Train Epoch: 10 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.24645 (0.19517) Boundary_loss: 0.012860 (0.012866) Loss: 0.25931 (0.20804) +2025-08-24,06:29:41 | INFO | Train Epoch: 10 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.21642 (0.19536) Boundary_loss: 0.012769 (0.012865) Loss: 0.22919 (0.20822) +2025-08-24,06:30:40 | INFO | Train Epoch: 10 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.16210 (0.19507) Boundary_loss: 0.012779 (0.012865) Loss: 0.17488 (0.20793) +2025-08-24,06:31:38 | INFO | Train Epoch: 10 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.16062 (0.19477) Boundary_loss: 0.012952 (0.012865) Loss: 0.17358 (0.20763) +2025-08-24,06:32:37 | INFO | Train Epoch: 10 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.18430 (0.19468) Boundary_loss: 0.012817 (0.012865) Loss: 0.19712 (0.20754) +2025-08-24,06:33:36 | INFO | Train Epoch: 10 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.19383 (0.19467) Boundary_loss: 0.012792 (0.012864) Loss: 0.20662 (0.20753) +2025-08-24,06:34:34 | INFO | Train Epoch: 10 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.18817 (0.19461) Boundary_loss: 0.012976 (0.012865) Loss: 0.20115 (0.20748) +2025-08-24,06:35:33 | INFO | Train Epoch: 10 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.19050 (0.19458) Boundary_loss: 0.012939 (0.012866) Loss: 0.20344 (0.20744) +2025-08-24,06:36:31 | INFO | Train Epoch: 10 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.15392 (0.19424) Boundary_loss: 0.012842 (0.012866) Loss: 0.16676 (0.20711) +2025-08-24,06:37:30 | INFO | Train Epoch: 10 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.21287 (0.19439) Boundary_loss: 0.012889 (0.012866) Loss: 0.22576 (0.20726) +2025-08-24,06:38:29 | INFO | Train Epoch: 10 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.18245 (0.19430) Boundary_loss: 0.012855 (0.012866) Loss: 0.19531 (0.20716) +2025-08-24,06:39:27 | INFO | Train Epoch: 10 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.17753 (0.19416) Boundary_loss: 0.012874 (0.012866) Loss: 0.19041 (0.20703) +2025-08-24,06:40:26 | INFO | Train Epoch: 10 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.19056 (0.19413) Boundary_loss: 0.012861 (0.012866) Loss: 0.20342 (0.20700) +2025-08-24,06:41:25 | INFO | Train Epoch: 10 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.17234 (0.19396) Boundary_loss: 0.012893 (0.012866) Loss: 0.18523 (0.20682) +2025-08-24,06:42:23 | INFO | Train Epoch: 10 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.22841 (0.19423) Boundary_loss: 0.012878 (0.012866) Loss: 0.24129 (0.20710) +2025-08-24,06:43:22 | INFO | Train Epoch: 10 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.20519 (0.19432) Boundary_loss: 0.012890 (0.012866) Loss: 0.21808 (0.20718) +2025-08-24,06:44:21 | INFO | Train Epoch: 10 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.21505 (0.19448) Boundary_loss: 0.012979 (0.012867) Loss: 0.22803 (0.20735) +2025-08-24,06:45:19 | INFO | Train Epoch: 10 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.21050 (0.19460) Boundary_loss: 0.012962 (0.012868) Loss: 0.22346 (0.20747) +2025-08-24,06:46:18 | INFO | Train Epoch: 10 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.21354 (0.19475) Boundary_loss: 0.012896 (0.012868) Loss: 0.22644 (0.20762) +2025-08-24,06:47:17 | INFO | Train Epoch: 10 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.20938 (0.19486) Boundary_loss: 0.012816 (0.012868) Loss: 0.22219 (0.20773) +2025-08-24,06:48:16 | INFO | Train Epoch: 10 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.20713 (0.19495) Boundary_loss: 0.012823 (0.012867) Loss: 0.21995 (0.20782) +2025-08-24,06:49:14 | INFO | Train Epoch: 10 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.18201 (0.19486) Boundary_loss: 0.012906 (0.012868) Loss: 0.19491 (0.20772) +2025-08-24,06:50:13 | INFO | Train Epoch: 10 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.15635 (0.19457) Boundary_loss: 0.012912 (0.012868) Loss: 0.16926 (0.20744) +2025-08-24,06:51:12 | INFO | Train Epoch: 10 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.20198 (0.19462) Boundary_loss: 0.012800 (0.012868) Loss: 0.21478 (0.20749) +2025-08-24,06:52:10 | INFO | Train Epoch: 10 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.22857 (0.19487) Boundary_loss: 0.012717 (0.012866) Loss: 0.24128 (0.20774) +2025-08-24,06:53:09 | INFO | Train Epoch: 10 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.20433 (0.19494) Boundary_loss: 0.012835 (0.012866) Loss: 0.21717 (0.20781) +2025-08-24,06:54:08 | INFO | Train Epoch: 10 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.18075 (0.19484) Boundary_loss: 0.012882 (0.012866) Loss: 0.19363 (0.20770) +2025-08-24,06:55:06 | INFO | Train Epoch: 10 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.24175 (0.19518) Boundary_loss: 0.012881 (0.012866) Loss: 0.25463 (0.20804) +2025-08-24,06:56:05 | INFO | Train Epoch: 10 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.15991 (0.19492) Boundary_loss: 0.012816 (0.012866) Loss: 0.17273 (0.20779) +2025-08-24,06:57:04 | INFO | Train Epoch: 10 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.13646 (0.19451) Boundary_loss: 0.012872 (0.012866) Loss: 0.14934 (0.20738) +2025-08-24,06:58:03 | INFO | Train Epoch: 10 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.19811 (0.19453) Boundary_loss: 0.012750 (0.012865) Loss: 0.21086 (0.20740) +2025-08-24,06:59:02 | INFO | Train Epoch: 10 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.18594 (0.19447) Boundary_loss: 0.012812 (0.012865) Loss: 0.19875 (0.20734) +2025-08-24,07:00:00 | INFO | Train Epoch: 10 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.16629 (0.19428) Boundary_loss: 0.012875 (0.012865) Loss: 0.17917 (0.20714) +2025-08-24,07:00:59 | INFO | Train Epoch: 10 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.17841 (0.19417) Boundary_loss: 0.012857 (0.012865) Loss: 0.19126 (0.20703) +2025-08-24,07:01:58 | INFO | Train Epoch: 10 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.21936 (0.19434) Boundary_loss: 0.012856 (0.012865) Loss: 0.23221 (0.20721) +2025-08-24,07:02:56 | INFO | Train Epoch: 10 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.19462 (0.19434) Boundary_loss: 0.012877 (0.012865) Loss: 0.20750 (0.20721) +2025-08-24,07:03:55 | INFO | Train Epoch: 10 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.18447 (0.19428) Boundary_loss: 0.012735 (0.012864) Loss: 0.19720 (0.20714) +2025-08-24,07:04:54 | INFO | Train Epoch: 10 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.23083 (0.19452) Boundary_loss: 0.012739 (0.012863) Loss: 0.24356 (0.20739) +2025-08-24,07:05:52 | INFO | Train Epoch: 10 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.13899 (0.19415) Boundary_loss: 0.012823 (0.012863) Loss: 0.15181 (0.20702) +2025-08-24,07:06:51 | INFO | Train Epoch: 10 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.19661 (0.19417) Boundary_loss: 0.012895 (0.012863) Loss: 0.20951 (0.20703) +2025-08-24,07:07:50 | INFO | Train Epoch: 10 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.17250 (0.19403) Boundary_loss: 0.012883 (0.012863) Loss: 0.18539 (0.20689) +2025-08-24,07:08:49 | INFO | Train Epoch: 10 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.16983 (0.19387) Boundary_loss: 0.012828 (0.012863) Loss: 0.18266 (0.20673) +2025-08-24,07:09:47 | INFO | Train Epoch: 10 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 18.947 Boundary Ratio: 0.097 Contrastive_loss: 0.16487 (0.19368) Boundary_loss: 0.012869 (0.012863) Loss: 0.17774 (0.20654) +2025-08-24,07:10:46 | INFO | Train Epoch: 10 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.27897 (0.19423) Boundary_loss: 0.012810 (0.012863) Loss: 0.29178 (0.20709) +2025-08-24,07:11:45 | INFO | Train Epoch: 10 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.15487 (0.19398) Boundary_loss: 0.012848 (0.012863) Loss: 0.16772 (0.20684) +2025-08-24,07:12:43 | INFO | Train Epoch: 10 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.24709 (0.19432) Boundary_loss: 0.012976 (0.012863) Loss: 0.26007 (0.20718) +2025-08-24,07:13:42 | INFO | Train Epoch: 10 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.18356 (0.19425) Boundary_loss: 0.012803 (0.012863) Loss: 0.19637 (0.20711) +2025-08-24,07:14:41 | INFO | Train Epoch: 10 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.19213 (0.19423) Boundary_loss: 0.012848 (0.012863) Loss: 0.20498 (0.20710) +2025-08-24,07:15:39 | INFO | Train Epoch: 10 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.20908 (0.19433) Boundary_loss: 0.012838 (0.012863) Loss: 0.22192 (0.20719) +2025-08-24,07:16:38 | INFO | Train Epoch: 10 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.16747 (0.19416) Boundary_loss: 0.012834 (0.012863) Loss: 0.18031 (0.20702) +2025-08-24,07:17:37 | INFO | Train Epoch: 10 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.21615 (0.19430) Boundary_loss: 0.012911 (0.012863) Loss: 0.22907 (0.20716) +2025-08-24,07:18:35 | INFO | Train Epoch: 10 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.17114 (0.19415) Boundary_loss: 0.012850 (0.012863) Loss: 0.18399 (0.20702) +2025-08-24,07:19:34 | INFO | Train Epoch: 10 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.20134 (0.19420) Boundary_loss: 0.012745 (0.012862) Loss: 0.21409 (0.20706) +2025-08-24,07:20:33 | INFO | Train Epoch: 10 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.14962 (0.19393) Boundary_loss: 0.012954 (0.012863) Loss: 0.16258 (0.20679) +2025-08-24,07:21:31 | INFO | Train Epoch: 10 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.16858 (0.19378) Boundary_loss: 0.012850 (0.012863) Loss: 0.18143 (0.20664) +2025-08-24,07:22:30 | INFO | Train Epoch: 10 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.22030 (0.19393) Boundary_loss: 0.012958 (0.012863) Loss: 0.23325 (0.20680) +2025-08-24,07:23:29 | INFO | Train Epoch: 10 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.24170 (0.19422) Boundary_loss: 0.012863 (0.012863) Loss: 0.25456 (0.20708) +2025-08-24,07:24:28 | INFO | Train Epoch: 10 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.17935 (0.19413) Boundary_loss: 0.012869 (0.012863) Loss: 0.19222 (0.20699) +2025-08-24,07:25:26 | INFO | Train Epoch: 10 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.16370 (0.19395) Boundary_loss: 0.012785 (0.012863) Loss: 0.17648 (0.20681) +2025-08-24,07:26:25 | INFO | Train Epoch: 10 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.14577 (0.19367) Boundary_loss: 0.012855 (0.012863) Loss: 0.15862 (0.20653) +2025-08-24,07:27:24 | INFO | Train Epoch: 10 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.14253 (0.19337) Boundary_loss: 0.012835 (0.012863) Loss: 0.15537 (0.20623) +2025-08-24,07:28:22 | INFO | Train Epoch: 10 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.17443 (0.19326) Boundary_loss: 0.012822 (0.012862) Loss: 0.18725 (0.20613) +2025-08-24,07:29:21 | INFO | Train Epoch: 10 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.18002 (0.19319) Boundary_loss: 0.012805 (0.012862) Loss: 0.19282 (0.20605) +2025-08-24,07:30:20 | INFO | Train Epoch: 10 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.20315 (0.19324) Boundary_loss: 0.012838 (0.012862) Loss: 0.21599 (0.20611) +2025-08-24,07:31:18 | INFO | Train Epoch: 10 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.15498 (0.19303) Boundary_loss: 0.012678 (0.012861) Loss: 0.16766 (0.20589) +2025-08-24,07:32:17 | INFO | Train Epoch: 10 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.18551 (0.19298) Boundary_loss: 0.012861 (0.012861) Loss: 0.19837 (0.20584) +2025-08-24,07:33:16 | INFO | Train Epoch: 10 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.15183 (0.19275) Boundary_loss: 0.012851 (0.012861) Loss: 0.16468 (0.20561) +2025-08-24,07:34:14 | INFO | Train Epoch: 10 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.19637 (0.19277) Boundary_loss: 0.012891 (0.012861) Loss: 0.20926 (0.20563) +2025-08-24,07:35:13 | INFO | Train Epoch: 10 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.20603 (0.19285) Boundary_loss: 0.012836 (0.012861) Loss: 0.21887 (0.20571) +2025-08-24,07:36:12 | INFO | Train Epoch: 10 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.23334 (0.19307) Boundary_loss: 0.012858 (0.012861) Loss: 0.24620 (0.20593) +2025-08-24,07:37:11 | INFO | Train Epoch: 10 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.11372 (0.19263) Boundary_loss: 0.012844 (0.012861) Loss: 0.12656 (0.20549) +2025-08-24,07:38:09 | INFO | Train Epoch: 10 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.18302 (0.19258) Boundary_loss: 0.013007 (0.012862) Loss: 0.19603 (0.20544) +2025-08-24,07:39:08 | INFO | Train Epoch: 10 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.461 Boundary Ratio: 0.099 Contrastive_loss: 0.19756 (0.19261) Boundary_loss: 0.012842 (0.012861) Loss: 0.21040 (0.20547) +2025-08-24,07:40:07 | INFO | Train Epoch: 10 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.20247 (0.19266) Boundary_loss: 0.012861 (0.012861) Loss: 0.21533 (0.20552) +2025-08-24,07:41:05 | INFO | Train Epoch: 10 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.22874 (0.19286) Boundary_loss: 0.012845 (0.012861) Loss: 0.24159 (0.20572) +2025-08-24,07:42:04 | INFO | Train Epoch: 10 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.19781 (0.19288) Boundary_loss: 0.012786 (0.012861) Loss: 0.21059 (0.20574) +2025-08-24,07:43:03 | INFO | Train Epoch: 10 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.14774 (0.19264) Boundary_loss: 0.012835 (0.012861) Loss: 0.16058 (0.20550) +2025-08-24,07:44:01 | INFO | Train Epoch: 10 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.17057 (0.19253) Boundary_loss: 0.012943 (0.012861) Loss: 0.18352 (0.20539) +2025-08-24,07:45:00 | INFO | Train Epoch: 10 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.16306 (0.19237) Boundary_loss: 0.012828 (0.012861) Loss: 0.17589 (0.20523) +2025-08-24,07:45:59 | INFO | Train Epoch: 10 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.15790 (0.19219) Boundary_loss: 0.012837 (0.012861) Loss: 0.17074 (0.20505) +2025-08-24,07:46:57 | INFO | Train Epoch: 10 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.16392 (0.19204) Boundary_loss: 0.012814 (0.012861) Loss: 0.17673 (0.20490) +2025-08-24,07:47:56 | INFO | Train Epoch: 10 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.15563 (0.19185) Boundary_loss: 0.012827 (0.012860) Loss: 0.16846 (0.20471) +2025-08-24,07:48:55 | INFO | Train Epoch: 10 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.19487 (0.19187) Boundary_loss: 0.012918 (0.012861) Loss: 0.20778 (0.20473) +2025-08-24,07:49:54 | INFO | Train Epoch: 10 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.20572 (0.19194) Boundary_loss: 0.012890 (0.012861) Loss: 0.21861 (0.20480) +2025-08-24,07:50:52 | INFO | Train Epoch: 10 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 18.986 Boundary Ratio: 0.097 Contrastive_loss: 0.20391 (0.19200) Boundary_loss: 0.012917 (0.012861) Loss: 0.21682 (0.20486) +2025-08-24,07:51:51 | INFO | Train Epoch: 10 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.15948 (0.19184) Boundary_loss: 0.012892 (0.012861) Loss: 0.17238 (0.20470) +2025-08-24,07:52:50 | INFO | Train Epoch: 10 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.15410 (0.19165) Boundary_loss: 0.012818 (0.012861) Loss: 0.16692 (0.20451) +2025-08-24,07:53:48 | INFO | Train Epoch: 10 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.17088 (0.19154) Boundary_loss: 0.012808 (0.012861) Loss: 0.18369 (0.20440) +2025-08-24,07:54:47 | INFO | Train Epoch: 10 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.578 Boundary Ratio: 0.100 Contrastive_loss: 0.17916 (0.19148) Boundary_loss: 0.012900 (0.012861) Loss: 0.19206 (0.20434) +2025-08-24,07:55:46 | INFO | Train Epoch: 10 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.19954 (0.19152) Boundary_loss: 0.012860 (0.012861) Loss: 0.21240 (0.20438) +2025-08-24,07:56:44 | INFO | Train Epoch: 10 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.18600 (0.19149) Boundary_loss: 0.012901 (0.012861) Loss: 0.19890 (0.20435) +2025-08-24,07:57:43 | INFO | Train Epoch: 10 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.19502 (0.19151) Boundary_loss: 0.012898 (0.012861) Loss: 0.20792 (0.20437) +2025-08-24,07:58:42 | INFO | Train Epoch: 10 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.20094 (0.19156) Boundary_loss: 0.012866 (0.012861) Loss: 0.21381 (0.20442) +2025-08-24,07:59:40 | INFO | Train Epoch: 10 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.20032 (0.19160) Boundary_loss: 0.012884 (0.012862) Loss: 0.21320 (0.20446) +2025-08-24,08:00:39 | INFO | Train Epoch: 10 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.16326 (0.19146) Boundary_loss: 0.012791 (0.012861) Loss: 0.17606 (0.20432) +2025-08-24,08:01:38 | INFO | Train Epoch: 10 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.22465 (0.19162) Boundary_loss: 0.012891 (0.012861) Loss: 0.23754 (0.20448) +2025-08-24,08:02:36 | INFO | Train Epoch: 10 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.18027 (0.19157) Boundary_loss: 0.012787 (0.012861) Loss: 0.19305 (0.20443) +2025-08-24,08:03:35 | INFO | Train Epoch: 10 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.17996 (0.19151) Boundary_loss: 0.012829 (0.012861) Loss: 0.19279 (0.20437) +2025-08-24,08:04:34 | INFO | Train Epoch: 10 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.22604 (0.19168) Boundary_loss: 0.012836 (0.012861) Loss: 0.23887 (0.20454) +2025-08-24,08:05:32 | INFO | Train Epoch: 10 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.18596 (0.19165) Boundary_loss: 0.012912 (0.012861) Loss: 0.19888 (0.20451) +2025-08-24,08:06:31 | INFO | Train Epoch: 10 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.17804 (0.19158) Boundary_loss: 0.012860 (0.012861) Loss: 0.19090 (0.20445) +2025-08-24,08:07:30 | INFO | Train Epoch: 10 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.703 Boundary Ratio: 0.101 Contrastive_loss: 0.23533 (0.19179) Boundary_loss: 0.012881 (0.012861) Loss: 0.24822 (0.20465) +2025-08-24,08:08:28 | INFO | Train Epoch: 10 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.15779 (0.19163) Boundary_loss: 0.012876 (0.012861) Loss: 0.17066 (0.20449) +2025-08-24,08:09:27 | INFO | Train Epoch: 10 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.17450 (0.19155) Boundary_loss: 0.012802 (0.012861) Loss: 0.18730 (0.20441) +2025-08-24,08:10:26 | INFO | Train Epoch: 10 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.20289 (0.19160) Boundary_loss: 0.012899 (0.012861) Loss: 0.21579 (0.20447) +2025-08-24,08:11:24 | INFO | Train Epoch: 10 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.12934 (0.19132) Boundary_loss: 0.012849 (0.012861) Loss: 0.14219 (0.20418) +2025-08-24,08:12:23 | INFO | Train Epoch: 10 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.14063 (0.19108) Boundary_loss: 0.012889 (0.012861) Loss: 0.15351 (0.20395) +2025-08-24,08:13:22 | INFO | Train Epoch: 10 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.21558 (0.19120) Boundary_loss: 0.012916 (0.012861) Loss: 0.22850 (0.20406) +2025-08-24,08:14:20 | INFO | Train Epoch: 10 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.23211 (0.19138) Boundary_loss: 0.012877 (0.012861) Loss: 0.24498 (0.20424) +2025-08-24,08:15:19 | INFO | Train Epoch: 10 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.19317 (0.19139) Boundary_loss: 0.012851 (0.012861) Loss: 0.20602 (0.20425) +2025-08-24,08:16:18 | INFO | Train Epoch: 10 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.19287 (0.19140) Boundary_loss: 0.012966 (0.012862) Loss: 0.20584 (0.20426) +2025-08-24,08:17:17 | INFO | Train Epoch: 10 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.711 Boundary Ratio: 0.101 Contrastive_loss: 0.16660 (0.19129) Boundary_loss: 0.012868 (0.012862) Loss: 0.17947 (0.20415) +2025-08-24,08:18:15 | INFO | Train Epoch: 10 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.20291 (0.19134) Boundary_loss: 0.012849 (0.012862) Loss: 0.21576 (0.20420) +2025-08-24,08:19:14 | INFO | Train Epoch: 10 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.18676 (0.19132) Boundary_loss: 0.012755 (0.012861) Loss: 0.19952 (0.20418) +2025-08-24,08:20:13 | INFO | Train Epoch: 10 [11520512/26365952 (44%)] Avg Boundaries (per batch): 18.975 Boundary Ratio: 0.097 Contrastive_loss: 0.20835 (0.19139) Boundary_loss: 0.012853 (0.012861) Loss: 0.22121 (0.20425) +2025-08-24,08:21:11 | INFO | Train Epoch: 10 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.21601 (0.19150) Boundary_loss: 0.012791 (0.012861) Loss: 0.22880 (0.20436) +2025-08-24,08:22:10 | INFO | Train Epoch: 10 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.14851 (0.19131) Boundary_loss: 0.012765 (0.012861) Loss: 0.16128 (0.20417) +2025-08-24,08:23:09 | INFO | Train Epoch: 10 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.17067 (0.19122) Boundary_loss: 0.012838 (0.012860) Loss: 0.18351 (0.20408) +2025-08-24,08:24:08 | INFO | Train Epoch: 10 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.16886 (0.19113) Boundary_loss: 0.012785 (0.012860) Loss: 0.18164 (0.20399) +2025-08-24,08:25:06 | INFO | Train Epoch: 10 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.21468 (0.19123) Boundary_loss: 0.012768 (0.012860) Loss: 0.22745 (0.20409) +2025-08-24,08:26:05 | INFO | Train Epoch: 10 [11827712/26365952 (45%)] Avg Boundaries (per batch): 18.959 Boundary Ratio: 0.097 Contrastive_loss: 0.17094 (0.19114) Boundary_loss: 0.012824 (0.012860) Loss: 0.18377 (0.20400) +2025-08-24,08:27:03 | INFO | Train Epoch: 10 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.21471 (0.19124) Boundary_loss: 0.012895 (0.012860) Loss: 0.22761 (0.20410) +2025-08-24,08:28:02 | INFO | Train Epoch: 10 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.15670 (0.19109) Boundary_loss: 0.012905 (0.012860) Loss: 0.16960 (0.20395) +2025-08-24,08:29:01 | INFO | Train Epoch: 10 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.15635 (0.19095) Boundary_loss: 0.012852 (0.012860) Loss: 0.16920 (0.20381) +2025-08-24,08:30:00 | INFO | Train Epoch: 10 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.17332 (0.19087) Boundary_loss: 0.012814 (0.012860) Loss: 0.18613 (0.20373) +2025-08-24,08:30:58 | INFO | Train Epoch: 10 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.17372 (0.19080) Boundary_loss: 0.012865 (0.012860) Loss: 0.18658 (0.20366) +2025-08-24,08:31:57 | INFO | Train Epoch: 10 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.17523 (0.19073) Boundary_loss: 0.012898 (0.012860) Loss: 0.18812 (0.20359) +2025-08-24,08:32:56 | INFO | Train Epoch: 10 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.21845 (0.19085) Boundary_loss: 0.012745 (0.012859) Loss: 0.23120 (0.20371) +2025-08-24,08:33:55 | INFO | Train Epoch: 10 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.15799 (0.19071) Boundary_loss: 0.012871 (0.012859) Loss: 0.17086 (0.20357) +2025-08-24,08:34:53 | INFO | Train Epoch: 10 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.19769 (0.19074) Boundary_loss: 0.012808 (0.012859) Loss: 0.21050 (0.20360) +2025-08-24,08:35:52 | INFO | Train Epoch: 10 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.16604 (0.19064) Boundary_loss: 0.012846 (0.012859) Loss: 0.17888 (0.20350) +2025-08-24,08:36:51 | INFO | Train Epoch: 10 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.17113 (0.19056) Boundary_loss: 0.012868 (0.012859) Loss: 0.18400 (0.20342) +2025-08-24,08:37:50 | INFO | Train Epoch: 10 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.078 Boundary Ratio: 0.097 Contrastive_loss: 0.20250 (0.19061) Boundary_loss: 0.012739 (0.012859) Loss: 0.21524 (0.20347) +2025-08-24,08:38:48 | INFO | Train Epoch: 10 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.18653 (0.19059) Boundary_loss: 0.012922 (0.012859) Loss: 0.19945 (0.20345) +2025-08-24,08:39:47 | INFO | Train Epoch: 10 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.19960 (0.19063) Boundary_loss: 0.012955 (0.012859) Loss: 0.21256 (0.20349) +2025-08-24,08:40:46 | INFO | Train Epoch: 10 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.17080 (0.19055) Boundary_loss: 0.012781 (0.012859) Loss: 0.18358 (0.20341) +2025-08-24,08:41:44 | INFO | Train Epoch: 10 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.22553 (0.19069) Boundary_loss: 0.012805 (0.012859) Loss: 0.23833 (0.20355) +2025-08-24,08:42:43 | INFO | Train Epoch: 10 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.13891 (0.19048) Boundary_loss: 0.012920 (0.012859) Loss: 0.15183 (0.20334) +2025-08-24,08:43:42 | INFO | Train Epoch: 10 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.16064 (0.19036) Boundary_loss: 0.012859 (0.012859) Loss: 0.17350 (0.20322) +2025-08-24,08:44:40 | INFO | Train Epoch: 10 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.17430 (0.19030) Boundary_loss: 0.012791 (0.012859) Loss: 0.18710 (0.20316) +2025-08-24,08:45:39 | INFO | Train Epoch: 10 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.18653 (0.19028) Boundary_loss: 0.012786 (0.012859) Loss: 0.19931 (0.20314) +2025-08-24,08:46:38 | INFO | Train Epoch: 10 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.19541 (0.19030) Boundary_loss: 0.012867 (0.012859) Loss: 0.20827 (0.20316) +2025-08-24,08:47:36 | INFO | Train Epoch: 10 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.19476 (0.19032) Boundary_loss: 0.012778 (0.012858) Loss: 0.20753 (0.20318) +2025-08-24,08:48:35 | INFO | Train Epoch: 10 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.16741 (0.19023) Boundary_loss: 0.012856 (0.012858) Loss: 0.18026 (0.20309) +2025-08-24,08:49:33 | INFO | Train Epoch: 10 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.15881 (0.19011) Boundary_loss: 0.012834 (0.012858) Loss: 0.17165 (0.20297) +2025-08-24,08:50:32 | INFO | Train Epoch: 10 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.16596 (0.19001) Boundary_loss: 0.012841 (0.012858) Loss: 0.17880 (0.20287) +2025-08-24,08:51:31 | INFO | Train Epoch: 10 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.17701 (0.18996) Boundary_loss: 0.012973 (0.012859) Loss: 0.18999 (0.20282) +2025-08-24,08:52:29 | INFO | Train Epoch: 10 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.18771 (0.18995) Boundary_loss: 0.012903 (0.012859) Loss: 0.20062 (0.20281) +2025-08-24,08:53:28 | INFO | Train Epoch: 10 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.23249 (0.19012) Boundary_loss: 0.012818 (0.012859) Loss: 0.24530 (0.20298) +2025-08-24,08:54:27 | INFO | Train Epoch: 10 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.14366 (0.18994) Boundary_loss: 0.012826 (0.012858) Loss: 0.15649 (0.20280) +2025-08-24,08:55:25 | INFO | Train Epoch: 10 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.16420 (0.18984) Boundary_loss: 0.012835 (0.012858) Loss: 0.17704 (0.20270) +2025-08-24,08:56:24 | INFO | Train Epoch: 10 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.16925 (0.18976) Boundary_loss: 0.012888 (0.012858) Loss: 0.18214 (0.20262) +2025-08-24,08:57:23 | INFO | Train Epoch: 10 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.15134 (0.18962) Boundary_loss: 0.012948 (0.012859) Loss: 0.16429 (0.20248) +2025-08-24,08:58:21 | INFO | Train Epoch: 10 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.19693 (0.18965) Boundary_loss: 0.012860 (0.012859) Loss: 0.20979 (0.20250) +2025-08-24,08:59:20 | INFO | Train Epoch: 10 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.15179 (0.18950) Boundary_loss: 0.012823 (0.012859) Loss: 0.16462 (0.20236) +2025-08-24,09:00:18 | INFO | Train Epoch: 10 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.15534 (0.18938) Boundary_loss: 0.012841 (0.012859) Loss: 0.16818 (0.20223) +2025-08-24,09:01:17 | INFO | Train Epoch: 10 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.25010 (0.18960) Boundary_loss: 0.012818 (0.012858) Loss: 0.26292 (0.20246) +2025-08-24,09:02:16 | INFO | Train Epoch: 10 [13722112/26365952 (52%)] Avg Boundaries (per batch): 18.865 Boundary Ratio: 0.096 Contrastive_loss: 0.22620 (0.18974) Boundary_loss: 0.012931 (0.012859) Loss: 0.23913 (0.20260) +2025-08-24,09:03:14 | INFO | Train Epoch: 10 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.20563 (0.18980) Boundary_loss: 0.012881 (0.012859) Loss: 0.21851 (0.20266) +2025-08-24,09:04:13 | INFO | Train Epoch: 10 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.22048 (0.18991) Boundary_loss: 0.012822 (0.012859) Loss: 0.23330 (0.20277) +2025-08-24,09:05:11 | INFO | Train Epoch: 10 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.24594 (0.19012) Boundary_loss: 0.012899 (0.012859) Loss: 0.25883 (0.20297) +2025-08-24,09:06:10 | INFO | Train Epoch: 10 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.18651 (0.19010) Boundary_loss: 0.012753 (0.012858) Loss: 0.19927 (0.20296) +2025-08-24,09:07:09 | INFO | Train Epoch: 10 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.24422 (0.19030) Boundary_loss: 0.012835 (0.012858) Loss: 0.25705 (0.20316) +2025-08-24,09:08:07 | INFO | Train Epoch: 10 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.12655 (0.19007) Boundary_loss: 0.012815 (0.012858) Loss: 0.13937 (0.20293) +2025-08-24,09:09:06 | INFO | Train Epoch: 10 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.16592 (0.18998) Boundary_loss: 0.012866 (0.012858) Loss: 0.17879 (0.20284) +2025-08-24,09:10:04 | INFO | Train Epoch: 10 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.19150 (0.18999) Boundary_loss: 0.012796 (0.012858) Loss: 0.20430 (0.20284) +2025-08-24,09:11:03 | INFO | Train Epoch: 10 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.20052 (0.19002) Boundary_loss: 0.012930 (0.012858) Loss: 0.21345 (0.20288) +2025-08-24,09:12:02 | INFO | Train Epoch: 10 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.18765 (0.19002) Boundary_loss: 0.012850 (0.012858) Loss: 0.20050 (0.20287) +2025-08-24,09:13:00 | INFO | Train Epoch: 10 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.22070 (0.19013) Boundary_loss: 0.012889 (0.012858) Loss: 0.23359 (0.20298) +2025-08-24,09:13:59 | INFO | Train Epoch: 10 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.21035 (0.19020) Boundary_loss: 0.012937 (0.012859) Loss: 0.22328 (0.20306) +2025-08-24,09:14:58 | INFO | Train Epoch: 10 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.18849 (0.19019) Boundary_loss: 0.012796 (0.012858) Loss: 0.20129 (0.20305) +2025-08-24,09:15:56 | INFO | Train Epoch: 10 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.20413 (0.19024) Boundary_loss: 0.012917 (0.012859) Loss: 0.21705 (0.20310) +2025-08-24,09:16:55 | INFO | Train Epoch: 10 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.20774 (0.19030) Boundary_loss: 0.012854 (0.012859) Loss: 0.22059 (0.20316) +2025-08-24,09:17:53 | INFO | Train Epoch: 10 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.19568 (0.19032) Boundary_loss: 0.012885 (0.012859) Loss: 0.20856 (0.20318) +2025-08-24,09:18:52 | INFO | Train Epoch: 10 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.20771 (0.19038) Boundary_loss: 0.012847 (0.012859) Loss: 0.22056 (0.20324) +2025-08-24,09:19:51 | INFO | Train Epoch: 10 [14643712/26365952 (56%)] Avg Boundaries (per batch): 18.986 Boundary Ratio: 0.097 Contrastive_loss: 0.19957 (0.19041) Boundary_loss: 0.012861 (0.012859) Loss: 0.21244 (0.20327) +2025-08-24,09:20:49 | INFO | Train Epoch: 10 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.16626 (0.19033) Boundary_loss: 0.012774 (0.012858) Loss: 0.17903 (0.20319) +2025-08-24,09:21:48 | INFO | Train Epoch: 10 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.19964 (0.19036) Boundary_loss: 0.012780 (0.012858) Loss: 0.21242 (0.20322) +2025-08-24,09:22:46 | INFO | Train Epoch: 10 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.16356 (0.19027) Boundary_loss: 0.012853 (0.012858) Loss: 0.17641 (0.20313) +2025-08-24,09:23:45 | INFO | Train Epoch: 10 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.23017 (0.19041) Boundary_loss: 0.012869 (0.012858) Loss: 0.24304 (0.20327) +2025-08-24,09:24:43 | INFO | Train Epoch: 10 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.26257 (0.19065) Boundary_loss: 0.012786 (0.012858) Loss: 0.27536 (0.20351) +2025-08-24,09:25:42 | INFO | Train Epoch: 10 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.14769 (0.19051) Boundary_loss: 0.012982 (0.012858) Loss: 0.16067 (0.20337) +2025-08-24,09:26:41 | INFO | Train Epoch: 10 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.18502 (0.19049) Boundary_loss: 0.012866 (0.012858) Loss: 0.19789 (0.20335) +2025-08-24,09:27:39 | INFO | Train Epoch: 10 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.17633 (0.19044) Boundary_loss: 0.012841 (0.012858) Loss: 0.18917 (0.20330) +2025-08-24,09:28:38 | INFO | Train Epoch: 10 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.14563 (0.19029) Boundary_loss: 0.012803 (0.012858) Loss: 0.15843 (0.20315) +2025-08-24,09:29:37 | INFO | Train Epoch: 10 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.26250 (0.19053) Boundary_loss: 0.012895 (0.012858) Loss: 0.27539 (0.20339) +2025-08-24,09:30:35 | INFO | Train Epoch: 10 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.21161 (0.19060) Boundary_loss: 0.012967 (0.012859) Loss: 0.22457 (0.20346) +2025-08-24,09:31:34 | INFO | Train Epoch: 10 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.21499 (0.19068) Boundary_loss: 0.012799 (0.012858) Loss: 0.22779 (0.20354) +2025-08-24,09:32:33 | INFO | Train Epoch: 10 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 0.23546 (0.19083) Boundary_loss: 0.012848 (0.012858) Loss: 0.24831 (0.20369) +2025-08-24,09:33:31 | INFO | Train Epoch: 10 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.21996 (0.19093) Boundary_loss: 0.012790 (0.012858) Loss: 0.23275 (0.20379) +2025-08-24,09:34:30 | INFO | Train Epoch: 10 [15411712/26365952 (58%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.22004 (0.19103) Boundary_loss: 0.012884 (0.012858) Loss: 0.23292 (0.20389) +2025-08-24,09:35:28 | INFO | Train Epoch: 10 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.18771 (0.19102) Boundary_loss: 0.012775 (0.012858) Loss: 0.20048 (0.20387) +2025-08-24,09:36:27 | INFO | Train Epoch: 10 [15514112/26365952 (59%)] Avg Boundaries (per batch): 18.830 Boundary Ratio: 0.096 Contrastive_loss: 0.18547 (0.19100) Boundary_loss: 0.012852 (0.012858) Loss: 0.19833 (0.20386) +2025-08-24,09:37:26 | INFO | Train Epoch: 10 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.19286 (0.19100) Boundary_loss: 0.012787 (0.012858) Loss: 0.20565 (0.20386) +2025-08-24,09:38:24 | INFO | Train Epoch: 10 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.20232 (0.19104) Boundary_loss: 0.012835 (0.012858) Loss: 0.21515 (0.20390) +2025-08-24,09:39:23 | INFO | Train Epoch: 10 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.21273 (0.19111) Boundary_loss: 0.012875 (0.012858) Loss: 0.22560 (0.20397) +2025-08-24,09:40:21 | INFO | Train Epoch: 10 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.19804 (0.19113) Boundary_loss: 0.012880 (0.012858) Loss: 0.21092 (0.20399) +2025-08-24,09:41:20 | INFO | Train Epoch: 10 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.18249 (0.19111) Boundary_loss: 0.012841 (0.012858) Loss: 0.19533 (0.20396) +2025-08-24,09:42:19 | INFO | Train Epoch: 10 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.20532 (0.19115) Boundary_loss: 0.012778 (0.012857) Loss: 0.21810 (0.20401) +2025-08-24,09:43:17 | INFO | Train Epoch: 10 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.19350 (0.19116) Boundary_loss: 0.012922 (0.012858) Loss: 0.20642 (0.20402) +2025-08-24,09:44:16 | INFO | Train Epoch: 10 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.22262 (0.19126) Boundary_loss: 0.012883 (0.012858) Loss: 0.23550 (0.20412) +2025-08-24,09:45:15 | INFO | Train Epoch: 10 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.16965 (0.19119) Boundary_loss: 0.012842 (0.012858) Loss: 0.18249 (0.20405) +2025-08-24,09:46:13 | INFO | Train Epoch: 10 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.18603 (0.19117) Boundary_loss: 0.012892 (0.012858) Loss: 0.19892 (0.20403) +2025-08-24,09:47:12 | INFO | Train Epoch: 10 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.15183 (0.19105) Boundary_loss: 0.012823 (0.012858) Loss: 0.16465 (0.20391) +2025-08-24,09:48:10 | INFO | Train Epoch: 10 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.22329 (0.19115) Boundary_loss: 0.012823 (0.012858) Loss: 0.23611 (0.20401) +2025-08-24,09:49:09 | INFO | Train Epoch: 10 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.18179 (0.19112) Boundary_loss: 0.012853 (0.012858) Loss: 0.19465 (0.20398) +2025-08-24,09:50:08 | INFO | Train Epoch: 10 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.16843 (0.19105) Boundary_loss: 0.012898 (0.012858) Loss: 0.18133 (0.20391) +2025-08-24,09:51:06 | INFO | Train Epoch: 10 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.24585 (0.19122) Boundary_loss: 0.012935 (0.012858) Loss: 0.25879 (0.20408) +2025-08-24,09:52:05 | INFO | Train Epoch: 10 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.16214 (0.19113) Boundary_loss: 0.012824 (0.012858) Loss: 0.17496 (0.20399) +2025-08-24,09:53:03 | INFO | Train Epoch: 10 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.19348 (0.19114) Boundary_loss: 0.012960 (0.012858) Loss: 0.20644 (0.20400) +2025-08-24,09:54:02 | INFO | Train Epoch: 10 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.20264 (0.19118) Boundary_loss: 0.012787 (0.012858) Loss: 0.21543 (0.20403) +2025-08-24,09:55:01 | INFO | Train Epoch: 10 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.22372 (0.19128) Boundary_loss: 0.012852 (0.012858) Loss: 0.23657 (0.20413) +2025-08-24,09:55:59 | INFO | Train Epoch: 10 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.24079 (0.19143) Boundary_loss: 0.012894 (0.012858) Loss: 0.25369 (0.20429) +2025-08-24,09:56:58 | INFO | Train Epoch: 10 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.617 Boundary Ratio: 0.100 Contrastive_loss: 0.15337 (0.19131) Boundary_loss: 0.012896 (0.012858) Loss: 0.16626 (0.20417) +2025-08-24,09:57:57 | INFO | Train Epoch: 10 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.19053 (0.19131) Boundary_loss: 0.012827 (0.012858) Loss: 0.20336 (0.20417) +2025-08-24,09:58:55 | INFO | Train Epoch: 10 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.15160 (0.19119) Boundary_loss: 0.012744 (0.012858) Loss: 0.16435 (0.20405) +2025-08-24,09:59:54 | INFO | Train Epoch: 10 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.22254 (0.19128) Boundary_loss: 0.012880 (0.012858) Loss: 0.23541 (0.20414) +2025-08-24,10:00:52 | INFO | Train Epoch: 10 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.20152 (0.19131) Boundary_loss: 0.012825 (0.012858) Loss: 0.21434 (0.20417) +2025-08-24,10:01:51 | INFO | Train Epoch: 10 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.19095 (0.19131) Boundary_loss: 0.012786 (0.012857) Loss: 0.20374 (0.20417) +2025-08-24,10:02:50 | INFO | Train Epoch: 10 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.13852 (0.19115) Boundary_loss: 0.012932 (0.012858) Loss: 0.15145 (0.20401) +2025-08-24,10:03:48 | INFO | Train Epoch: 10 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.20008 (0.19118) Boundary_loss: 0.012863 (0.012858) Loss: 0.21295 (0.20404) +2025-08-24,10:04:47 | INFO | Train Epoch: 10 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.19522 (0.19119) Boundary_loss: 0.012910 (0.012858) Loss: 0.20813 (0.20405) +2025-08-24,10:05:45 | INFO | Train Epoch: 10 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.22242 (0.19129) Boundary_loss: 0.012832 (0.012858) Loss: 0.23525 (0.20414) +2025-08-24,10:06:44 | INFO | Train Epoch: 10 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.18784 (0.19128) Boundary_loss: 0.012861 (0.012858) Loss: 0.20070 (0.20413) +2025-08-24,10:07:43 | INFO | Train Epoch: 10 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.18416 (0.19125) Boundary_loss: 0.012823 (0.012858) Loss: 0.19698 (0.20411) +2025-08-24,10:08:41 | INFO | Train Epoch: 10 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.19952 (0.19128) Boundary_loss: 0.012957 (0.012858) Loss: 0.21248 (0.20414) +2025-08-24,10:09:40 | INFO | Train Epoch: 10 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.17548 (0.19123) Boundary_loss: 0.012843 (0.012858) Loss: 0.18832 (0.20409) +2025-08-24,10:10:38 | INFO | Train Epoch: 10 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.18499 (0.19121) Boundary_loss: 0.012826 (0.012858) Loss: 0.19781 (0.20407) +2025-08-24,10:11:37 | INFO | Train Epoch: 10 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.15991 (0.19112) Boundary_loss: 0.012952 (0.012858) Loss: 0.17286 (0.20398) +2025-08-24,10:12:36 | INFO | Train Epoch: 10 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.17664 (0.19108) Boundary_loss: 0.012815 (0.012858) Loss: 0.18945 (0.20394) +2025-08-24,10:13:34 | INFO | Train Epoch: 10 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.18542 (0.19106) Boundary_loss: 0.012868 (0.012858) Loss: 0.19829 (0.20392) +2025-08-24,10:14:33 | INFO | Train Epoch: 10 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.20958 (0.19112) Boundary_loss: 0.012807 (0.012858) Loss: 0.22238 (0.20397) +2025-08-24,10:15:31 | INFO | Train Epoch: 10 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.18276 (0.19109) Boundary_loss: 0.012852 (0.012858) Loss: 0.19561 (0.20395) +2025-08-24,10:16:30 | INFO | Train Epoch: 10 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.18084 (0.19106) Boundary_loss: 0.012798 (0.012858) Loss: 0.19364 (0.20392) +2025-08-24,10:17:28 | INFO | Train Epoch: 10 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.16207 (0.19098) Boundary_loss: 0.012766 (0.012857) Loss: 0.17483 (0.20384) +2025-08-24,10:18:27 | INFO | Train Epoch: 10 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.19675 (0.19100) Boundary_loss: 0.012821 (0.012857) Loss: 0.20957 (0.20385) +2025-08-24,10:19:26 | INFO | Train Epoch: 10 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.21075 (0.19105) Boundary_loss: 0.012843 (0.012857) Loss: 0.22359 (0.20391) +2025-08-24,10:20:24 | INFO | Train Epoch: 10 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.16186 (0.19097) Boundary_loss: 0.012935 (0.012857) Loss: 0.17480 (0.20383) +2025-08-24,10:21:23 | INFO | Train Epoch: 10 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.19299 (0.19097) Boundary_loss: 0.012773 (0.012857) Loss: 0.20577 (0.20383) +2025-08-24,10:22:21 | INFO | Train Epoch: 10 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.18964 (0.19097) Boundary_loss: 0.012806 (0.012857) Loss: 0.20244 (0.20383) +2025-08-24,10:23:20 | INFO | Train Epoch: 10 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.14857 (0.19085) Boundary_loss: 0.012867 (0.012857) Loss: 0.16144 (0.20371) +2025-08-24,10:24:19 | INFO | Train Epoch: 10 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.18897 (0.19085) Boundary_loss: 0.012994 (0.012857) Loss: 0.20197 (0.20370) +2025-08-24,10:25:17 | INFO | Train Epoch: 10 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.16821 (0.19078) Boundary_loss: 0.012864 (0.012857) Loss: 0.18108 (0.20364) +2025-08-24,10:26:16 | INFO | Train Epoch: 10 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.21828 (0.19086) Boundary_loss: 0.012836 (0.012857) Loss: 0.23111 (0.20372) +2025-08-24,10:27:14 | INFO | Train Epoch: 10 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.18699 (0.19085) Boundary_loss: 0.012955 (0.012858) Loss: 0.19994 (0.20371) +2025-08-24,10:28:13 | INFO | Train Epoch: 10 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.20456 (0.19089) Boundary_loss: 0.012881 (0.012858) Loss: 0.21744 (0.20374) +2025-08-24,10:29:11 | INFO | Train Epoch: 10 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.19263 (0.19089) Boundary_loss: 0.012828 (0.012858) Loss: 0.20546 (0.20375) +2025-08-24,10:30:10 | INFO | Train Epoch: 10 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.17165 (0.19084) Boundary_loss: 0.012816 (0.012858) Loss: 0.18447 (0.20370) +2025-08-24,10:31:09 | INFO | Train Epoch: 10 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.16554 (0.19077) Boundary_loss: 0.012829 (0.012857) Loss: 0.17837 (0.20362) +2025-08-24,10:32:07 | INFO | Train Epoch: 10 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.17251 (0.19072) Boundary_loss: 0.012929 (0.012858) Loss: 0.18544 (0.20357) +2025-08-24,10:33:06 | INFO | Train Epoch: 10 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.19843 (0.19074) Boundary_loss: 0.012880 (0.012858) Loss: 0.21131 (0.20360) +2025-08-24,10:34:04 | INFO | Train Epoch: 10 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.16872 (0.19068) Boundary_loss: 0.012870 (0.012858) Loss: 0.18159 (0.20354) +2025-08-24,10:35:03 | INFO | Train Epoch: 10 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.23227 (0.19079) Boundary_loss: 0.012948 (0.012858) Loss: 0.24522 (0.20365) +2025-08-24,10:36:02 | INFO | Train Epoch: 10 [18637312/26365952 (71%)] Avg Boundaries (per batch): 18.971 Boundary Ratio: 0.097 Contrastive_loss: 0.23022 (0.19090) Boundary_loss: 0.012831 (0.012858) Loss: 0.24305 (0.20376) +2025-08-24,10:37:00 | INFO | Train Epoch: 10 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.13820 (0.19076) Boundary_loss: 0.012942 (0.012858) Loss: 0.15114 (0.20361) +2025-08-24,10:37:59 | INFO | Train Epoch: 10 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.21276 (0.19082) Boundary_loss: 0.012827 (0.012858) Loss: 0.22559 (0.20367) +2025-08-24,10:38:57 | INFO | Train Epoch: 10 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.17478 (0.19077) Boundary_loss: 0.012877 (0.012858) Loss: 0.18766 (0.20363) +2025-08-24,10:39:56 | INFO | Train Epoch: 10 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.15374 (0.19067) Boundary_loss: 0.012823 (0.012858) Loss: 0.16656 (0.20353) +2025-08-24,10:40:55 | INFO | Train Epoch: 10 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.17028 (0.19062) Boundary_loss: 0.012811 (0.012858) Loss: 0.18309 (0.20347) +2025-08-24,10:41:53 | INFO | Train Epoch: 10 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.15876 (0.19053) Boundary_loss: 0.012869 (0.012858) Loss: 0.17163 (0.20339) +2025-08-24,10:42:52 | INFO | Train Epoch: 10 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.21070 (0.19058) Boundary_loss: 0.012808 (0.012858) Loss: 0.22350 (0.20344) +2025-08-24,10:43:51 | INFO | Train Epoch: 10 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.16891 (0.19053) Boundary_loss: 0.012849 (0.012858) Loss: 0.18176 (0.20338) +2025-08-24,10:44:49 | INFO | Train Epoch: 10 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.21336 (0.19059) Boundary_loss: 0.012854 (0.012858) Loss: 0.22622 (0.20345) +2025-08-24,10:45:48 | INFO | Train Epoch: 10 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.16467 (0.19052) Boundary_loss: 0.012804 (0.012858) Loss: 0.17748 (0.20338) +2025-08-24,10:46:47 | INFO | Train Epoch: 10 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.19647 (0.19053) Boundary_loss: 0.012954 (0.012858) Loss: 0.20942 (0.20339) +2025-08-24,10:47:45 | INFO | Train Epoch: 10 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.16628 (0.19047) Boundary_loss: 0.012825 (0.012858) Loss: 0.17911 (0.20333) +2025-08-24,10:48:44 | INFO | Train Epoch: 10 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.13880 (0.19033) Boundary_loss: 0.012727 (0.012857) Loss: 0.15153 (0.20319) +2025-08-24,10:49:42 | INFO | Train Epoch: 10 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.17940 (0.19030) Boundary_loss: 0.012823 (0.012857) Loss: 0.19222 (0.20316) +2025-08-24,10:50:41 | INFO | Train Epoch: 10 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.21564 (0.19037) Boundary_loss: 0.012896 (0.012857) Loss: 0.22854 (0.20323) +2025-08-24,10:51:40 | INFO | Train Epoch: 10 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.16460 (0.19030) Boundary_loss: 0.012829 (0.012857) Loss: 0.17743 (0.20316) +2025-08-24,10:52:38 | INFO | Train Epoch: 10 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.21481 (0.19037) Boundary_loss: 0.012833 (0.012857) Loss: 0.22765 (0.20323) +2025-08-24,10:53:37 | INFO | Train Epoch: 10 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.14424 (0.19025) Boundary_loss: 0.012796 (0.012857) Loss: 0.15704 (0.20310) +2025-08-24,10:54:35 | INFO | Train Epoch: 10 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.22789 (0.19035) Boundary_loss: 0.012808 (0.012857) Loss: 0.24069 (0.20320) +2025-08-24,10:55:34 | INFO | Train Epoch: 10 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.19489 (0.19036) Boundary_loss: 0.012876 (0.012857) Loss: 0.20777 (0.20321) +2025-08-24,10:56:33 | INFO | Train Epoch: 10 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.19245 (0.19036) Boundary_loss: 0.012744 (0.012857) Loss: 0.20519 (0.20322) +2025-08-24,10:57:31 | INFO | Train Epoch: 10 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.16287 (0.19029) Boundary_loss: 0.012811 (0.012857) Loss: 0.17568 (0.20315) +2025-08-24,10:58:30 | INFO | Train Epoch: 10 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.16751 (0.19023) Boundary_loss: 0.012927 (0.012857) Loss: 0.18044 (0.20309) +2025-08-24,10:59:29 | INFO | Train Epoch: 10 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.23241 (0.19034) Boundary_loss: 0.012797 (0.012857) Loss: 0.24520 (0.20320) +2025-08-24,11:00:27 | INFO | Train Epoch: 10 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.16286 (0.19027) Boundary_loss: 0.012837 (0.012857) Loss: 0.17570 (0.20313) +2025-08-24,11:01:26 | INFO | Train Epoch: 10 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.18419 (0.19026) Boundary_loss: 0.012828 (0.012857) Loss: 0.19702 (0.20311) +2025-08-24,11:02:24 | INFO | Train Epoch: 10 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.22853 (0.19035) Boundary_loss: 0.012854 (0.012857) Loss: 0.24139 (0.20321) +2025-08-24,11:03:23 | INFO | Train Epoch: 10 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.11904 (0.19017) Boundary_loss: 0.012820 (0.012856) Loss: 0.13186 (0.20303) +2025-08-24,11:04:22 | INFO | Train Epoch: 10 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.20030 (0.19020) Boundary_loss: 0.012878 (0.012857) Loss: 0.21318 (0.20305) +2025-08-24,11:05:20 | INFO | Train Epoch: 10 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.18591 (0.19019) Boundary_loss: 0.012886 (0.012857) Loss: 0.19880 (0.20304) +2025-08-24,11:06:19 | INFO | Train Epoch: 10 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.16775 (0.19013) Boundary_loss: 0.012837 (0.012857) Loss: 0.18059 (0.20299) +2025-08-24,11:07:18 | INFO | Train Epoch: 10 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.12159 (0.18996) Boundary_loss: 0.012851 (0.012857) Loss: 0.13444 (0.20281) +2025-08-24,11:08:16 | INFO | Train Epoch: 10 [20326912/26365952 (77%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.24376 (0.19009) Boundary_loss: 0.012864 (0.012857) Loss: 0.25662 (0.20295) +2025-08-24,11:09:15 | INFO | Train Epoch: 10 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.19936 (0.19012) Boundary_loss: 0.012817 (0.012856) Loss: 0.21217 (0.20297) +2025-08-24,11:10:14 | INFO | Train Epoch: 10 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.19315 (0.19012) Boundary_loss: 0.012837 (0.012856) Loss: 0.20599 (0.20298) +2025-08-24,11:11:12 | INFO | Train Epoch: 10 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.25335 (0.19028) Boundary_loss: 0.012852 (0.012856) Loss: 0.26620 (0.20314) +2025-08-24,11:12:11 | INFO | Train Epoch: 10 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.18446 (0.19027) Boundary_loss: 0.012759 (0.012856) Loss: 0.19722 (0.20312) +2025-08-24,11:13:10 | INFO | Train Epoch: 10 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.16733 (0.19021) Boundary_loss: 0.012802 (0.012856) Loss: 0.18013 (0.20307) +2025-08-24,11:14:08 | INFO | Train Epoch: 10 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.17222 (0.19016) Boundary_loss: 0.012882 (0.012856) Loss: 0.18510 (0.20302) +2025-08-24,11:15:07 | INFO | Train Epoch: 10 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.19162 (0.19017) Boundary_loss: 0.012815 (0.012856) Loss: 0.20443 (0.20302) +2025-08-24,11:16:05 | INFO | Train Epoch: 10 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.16652 (0.19011) Boundary_loss: 0.012853 (0.012856) Loss: 0.17937 (0.20297) +2025-08-24,11:17:04 | INFO | Train Epoch: 10 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.17010 (0.19006) Boundary_loss: 0.012826 (0.012856) Loss: 0.18293 (0.20292) +2025-08-24,11:18:03 | INFO | Train Epoch: 10 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.21758 (0.19013) Boundary_loss: 0.012782 (0.012856) Loss: 0.23036 (0.20298) +2025-08-24,11:19:01 | INFO | Train Epoch: 10 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.14119 (0.19001) Boundary_loss: 0.012796 (0.012856) Loss: 0.15399 (0.20286) +2025-08-24,11:20:00 | INFO | Train Epoch: 10 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.18886 (0.19001) Boundary_loss: 0.012900 (0.012856) Loss: 0.20176 (0.20286) +2025-08-24,11:20:59 | INFO | Train Epoch: 10 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.16722 (0.18995) Boundary_loss: 0.012844 (0.012856) Loss: 0.18007 (0.20281) +2025-08-24,11:21:57 | INFO | Train Epoch: 10 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.17187 (0.18991) Boundary_loss: 0.012919 (0.012856) Loss: 0.18479 (0.20276) +2025-08-24,11:22:56 | INFO | Train Epoch: 10 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.17105 (0.18986) Boundary_loss: 0.012857 (0.012856) Loss: 0.18390 (0.20272) +2025-08-24,11:23:54 | INFO | Train Epoch: 10 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.16109 (0.18979) Boundary_loss: 0.012825 (0.012856) Loss: 0.17391 (0.20265) +2025-08-24,11:24:53 | INFO | Train Epoch: 10 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.20010 (0.18982) Boundary_loss: 0.012979 (0.012856) Loss: 0.21308 (0.20267) +2025-08-24,11:25:52 | INFO | Train Epoch: 10 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.15500 (0.18973) Boundary_loss: 0.012776 (0.012856) Loss: 0.16777 (0.20259) +2025-08-24,11:26:50 | INFO | Train Epoch: 10 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.20855 (0.18978) Boundary_loss: 0.012859 (0.012856) Loss: 0.22140 (0.20263) +2025-08-24,11:27:49 | INFO | Train Epoch: 10 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.20401 (0.18981) Boundary_loss: 0.012855 (0.012856) Loss: 0.21686 (0.20267) +2025-08-24,11:28:47 | INFO | Train Epoch: 10 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.19005 (0.18981) Boundary_loss: 0.012825 (0.012856) Loss: 0.20287 (0.20267) +2025-08-24,11:29:46 | INFO | Train Epoch: 10 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.15884 (0.18974) Boundary_loss: 0.012750 (0.012856) Loss: 0.17159 (0.20259) +2025-08-24,11:30:45 | INFO | Train Epoch: 10 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.17968 (0.18971) Boundary_loss: 0.012790 (0.012855) Loss: 0.19247 (0.20257) +2025-08-24,11:31:43 | INFO | Train Epoch: 10 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.19830 (0.18974) Boundary_loss: 0.012851 (0.012855) Loss: 0.21115 (0.20259) +2025-08-24,11:32:42 | INFO | Train Epoch: 10 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.15088 (0.18964) Boundary_loss: 0.012768 (0.012855) Loss: 0.16365 (0.20250) +2025-08-24,11:33:41 | INFO | Train Epoch: 10 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.533 Boundary Ratio: 0.100 Contrastive_loss: 0.16131 (0.18958) Boundary_loss: 0.012825 (0.012855) Loss: 0.17414 (0.20243) +2025-08-24,11:34:39 | INFO | Train Epoch: 10 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.17974 (0.18955) Boundary_loss: 0.012857 (0.012855) Loss: 0.19260 (0.20241) +2025-08-24,11:35:38 | INFO | Train Epoch: 10 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.18027 (0.18953) Boundary_loss: 0.012853 (0.012855) Loss: 0.19312 (0.20239) +2025-08-24,11:36:36 | INFO | Train Epoch: 10 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.16547 (0.18948) Boundary_loss: 0.012920 (0.012855) Loss: 0.17839 (0.20233) +2025-08-24,11:37:35 | INFO | Train Epoch: 10 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.17943 (0.18945) Boundary_loss: 0.012764 (0.012855) Loss: 0.19219 (0.20231) +2025-08-24,11:38:34 | INFO | Train Epoch: 10 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.16882 (0.18940) Boundary_loss: 0.012868 (0.012855) Loss: 0.18169 (0.20226) +2025-08-24,11:39:32 | INFO | Train Epoch: 10 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.19170 (0.18941) Boundary_loss: 0.012845 (0.012855) Loss: 0.20455 (0.20226) +2025-08-24,11:40:31 | INFO | Train Epoch: 10 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.16506 (0.18935) Boundary_loss: 0.012841 (0.012855) Loss: 0.17790 (0.20221) +2025-08-24,11:41:29 | INFO | Train Epoch: 10 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.17994 (0.18933) Boundary_loss: 0.012842 (0.012855) Loss: 0.19278 (0.20219) +2025-08-24,11:42:28 | INFO | Train Epoch: 10 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.13416 (0.18920) Boundary_loss: 0.012812 (0.012855) Loss: 0.14698 (0.20206) +2025-08-24,11:43:27 | INFO | Train Epoch: 10 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.15496 (0.18912) Boundary_loss: 0.012792 (0.012855) Loss: 0.16776 (0.20198) +2025-08-24,11:44:25 | INFO | Train Epoch: 10 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.19825 (0.18915) Boundary_loss: 0.012944 (0.012855) Loss: 0.21119 (0.20200) +2025-08-24,11:45:24 | INFO | Train Epoch: 10 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.19585 (0.18916) Boundary_loss: 0.012871 (0.012855) Loss: 0.20872 (0.20202) +2025-08-24,11:46:23 | INFO | Train Epoch: 10 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.021 Boundary Ratio: 0.097 Contrastive_loss: 0.20850 (0.18921) Boundary_loss: 0.012857 (0.012855) Loss: 0.22136 (0.20206) +2025-08-24,11:47:21 | INFO | Train Epoch: 10 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.22155 (0.18928) Boundary_loss: 0.012884 (0.012855) Loss: 0.23443 (0.20213) +2025-08-24,11:48:20 | INFO | Train Epoch: 10 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.15661 (0.18920) Boundary_loss: 0.012812 (0.012855) Loss: 0.16942 (0.20206) +2025-08-24,11:49:19 | INFO | Train Epoch: 10 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.26326 (0.18937) Boundary_loss: 0.012824 (0.012855) Loss: 0.27608 (0.20223) +2025-08-24,11:50:17 | INFO | Train Epoch: 10 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.20178 (0.18940) Boundary_loss: 0.012883 (0.012855) Loss: 0.21466 (0.20226) +2025-08-24,11:51:16 | INFO | Train Epoch: 10 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.21195 (0.18945) Boundary_loss: 0.012863 (0.012855) Loss: 0.22482 (0.20231) +2025-08-24,11:52:14 | INFO | Train Epoch: 10 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.16345 (0.18939) Boundary_loss: 0.012823 (0.012855) Loss: 0.17627 (0.20225) +2025-08-24,11:53:13 | INFO | Train Epoch: 10 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.23117 (0.18949) Boundary_loss: 0.012880 (0.012855) Loss: 0.24405 (0.20234) +2025-08-24,11:54:11 | INFO | Train Epoch: 10 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.15279 (0.18940) Boundary_loss: 0.012795 (0.012855) Loss: 0.16559 (0.20226) +2025-08-24,11:55:10 | INFO | Train Epoch: 10 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.19416 (0.18942) Boundary_loss: 0.012860 (0.012855) Loss: 0.20702 (0.20227) +2025-08-24,11:56:09 | INFO | Train Epoch: 10 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.16534 (0.18936) Boundary_loss: 0.012827 (0.012855) Loss: 0.17817 (0.20222) +2025-08-24,11:57:07 | INFO | Train Epoch: 10 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.18450 (0.18935) Boundary_loss: 0.012812 (0.012855) Loss: 0.19731 (0.20221) +2025-08-24,11:58:06 | INFO | Train Epoch: 10 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.21952 (0.18942) Boundary_loss: 0.012886 (0.012855) Loss: 0.23240 (0.20227) +2025-08-24,11:59:04 | INFO | Train Epoch: 10 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.16155 (0.18936) Boundary_loss: 0.012970 (0.012855) Loss: 0.17452 (0.20221) +2025-08-24,12:00:03 | INFO | Train Epoch: 10 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.16403 (0.18930) Boundary_loss: 0.012852 (0.012855) Loss: 0.17688 (0.20215) +2025-08-24,12:01:02 | INFO | Train Epoch: 10 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.22612 (0.18938) Boundary_loss: 0.012744 (0.012855) Loss: 0.23886 (0.20224) +2025-08-24,12:02:00 | INFO | Train Epoch: 10 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.23451 (0.18948) Boundary_loss: 0.012827 (0.012855) Loss: 0.24733 (0.20234) +2025-08-24,12:02:59 | INFO | Train Epoch: 10 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.19881 (0.18950) Boundary_loss: 0.012865 (0.012855) Loss: 0.21168 (0.20236) +2025-08-24,12:03:57 | INFO | Train Epoch: 10 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.22915 (0.18959) Boundary_loss: 0.012891 (0.012855) Loss: 0.24204 (0.20244) +2025-08-24,12:04:56 | INFO | Train Epoch: 10 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.23717 (0.18969) Boundary_loss: 0.012791 (0.012855) Loss: 0.24996 (0.20255) +2025-08-24,12:05:55 | INFO | Train Epoch: 10 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.17235 (0.18966) Boundary_loss: 0.012754 (0.012854) Loss: 0.18510 (0.20251) +2025-08-24,12:06:53 | INFO | Train Epoch: 10 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.23253 (0.18975) Boundary_loss: 0.012823 (0.012854) Loss: 0.24536 (0.20260) +2025-08-24,12:07:52 | INFO | Train Epoch: 10 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.19821 (0.18977) Boundary_loss: 0.012840 (0.012854) Loss: 0.21105 (0.20262) +2025-08-24,12:08:51 | INFO | Train Epoch: 10 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.16038 (0.18970) Boundary_loss: 0.012854 (0.012854) Loss: 0.17323 (0.20256) +2025-08-24,12:09:49 | INFO | Train Epoch: 10 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.15740 (0.18963) Boundary_loss: 0.012811 (0.012854) Loss: 0.17021 (0.20249) +2025-08-24,12:10:48 | INFO | Train Epoch: 10 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.13248 (0.18951) Boundary_loss: 0.012949 (0.012854) Loss: 0.14543 (0.20236) +2025-08-24,12:11:47 | INFO | Train Epoch: 10 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.14388 (0.18941) Boundary_loss: 0.012902 (0.012855) Loss: 0.15678 (0.20227) +2025-08-24,12:12:45 | INFO | Train Epoch: 10 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.15313 (0.18933) Boundary_loss: 0.012869 (0.012855) Loss: 0.16599 (0.20219) +2025-08-24,12:13:44 | INFO | Train Epoch: 10 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.18641 (0.18933) Boundary_loss: 0.012800 (0.012854) Loss: 0.19921 (0.20218) +2025-08-24,12:14:43 | INFO | Train Epoch: 10 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.22159 (0.18940) Boundary_loss: 0.012919 (0.012855) Loss: 0.23451 (0.20225) +2025-08-24,12:15:41 | INFO | Train Epoch: 10 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.19904 (0.18942) Boundary_loss: 0.012798 (0.012854) Loss: 0.21184 (0.20227) +2025-08-24,12:16:40 | INFO | Train Epoch: 10 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.18705 (0.18941) Boundary_loss: 0.012824 (0.012854) Loss: 0.19988 (0.20227) +2025-08-24,12:17:39 | INFO | Train Epoch: 10 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.13651 (0.18930) Boundary_loss: 0.012811 (0.012854) Loss: 0.14932 (0.20215) +2025-08-24,12:18:37 | INFO | Train Epoch: 10 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.16004 (0.18924) Boundary_loss: 0.012894 (0.012854) Loss: 0.17293 (0.20209) +2025-08-24,12:19:36 | INFO | Train Epoch: 10 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.17024 (0.18920) Boundary_loss: 0.012902 (0.012854) Loss: 0.18314 (0.20205) +2025-08-24,12:20:34 | INFO | Train Epoch: 10 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.523 Boundary Ratio: 0.100 Contrastive_loss: 0.14082 (0.18909) Boundary_loss: 0.012804 (0.012854) Loss: 0.15362 (0.20195) +2025-08-24,12:21:33 | INFO | Train Epoch: 10 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.13570 (0.18898) Boundary_loss: 0.012815 (0.012854) Loss: 0.14851 (0.20183) +2025-08-24,12:22:32 | INFO | Train Epoch: 10 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.18890 (0.18898) Boundary_loss: 0.012886 (0.012854) Loss: 0.20179 (0.20183) +2025-08-24,12:23:31 | INFO | Train Epoch: 10 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.14449 (0.18889) Boundary_loss: 0.012863 (0.012854) Loss: 0.15736 (0.20174) +2025-08-24,12:24:29 | INFO | Train Epoch: 10 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.21717 (0.18895) Boundary_loss: 0.012791 (0.012854) Loss: 0.22997 (0.20180) +2025-08-24,12:25:28 | INFO | Train Epoch: 10 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.17085 (0.18891) Boundary_loss: 0.012718 (0.012854) Loss: 0.18357 (0.20176) +2025-08-24,12:26:27 | INFO | Train Epoch: 10 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.22148 (0.18898) Boundary_loss: 0.012916 (0.012854) Loss: 0.23440 (0.20183) +2025-08-24,12:27:25 | INFO | Train Epoch: 10 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.14307 (0.18888) Boundary_loss: 0.012872 (0.012854) Loss: 0.15595 (0.20173) +2025-08-24,12:28:24 | INFO | Train Epoch: 10 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.17888 (0.18886) Boundary_loss: 0.012788 (0.012854) Loss: 0.19167 (0.20171) +2025-08-24,12:29:23 | INFO | Train Epoch: 10 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.21129 (0.18891) Boundary_loss: 0.012771 (0.012854) Loss: 0.22406 (0.20176) +2025-08-24,12:30:21 | INFO | Train Epoch: 10 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.20048 (0.18893) Boundary_loss: 0.012797 (0.012854) Loss: 0.21328 (0.20178) +2025-08-24,12:31:20 | INFO | Train Epoch: 10 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.18382 (0.18892) Boundary_loss: 0.012874 (0.012854) Loss: 0.19670 (0.20177) +2025-08-24,12:32:19 | INFO | Train Epoch: 10 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.16646 (0.18887) Boundary_loss: 0.012915 (0.012854) Loss: 0.17937 (0.20173) +2025-08-24,12:33:17 | INFO | Train Epoch: 10 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.18429 (0.18886) Boundary_loss: 0.012949 (0.012854) Loss: 0.19724 (0.20172) +2025-08-24,12:34:16 | INFO | Train Epoch: 10 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.18897 (0.18886) Boundary_loss: 0.012874 (0.012854) Loss: 0.20184 (0.20172) +2025-08-24,12:35:14 | INFO | Train Epoch: 10 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.16791 (0.18882) Boundary_loss: 0.012859 (0.012854) Loss: 0.18076 (0.20168) +2025-08-24,12:36:13 | INFO | Train Epoch: 10 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.16271 (0.18877) Boundary_loss: 0.012792 (0.012854) Loss: 0.17550 (0.20162) +2025-08-24,12:37:12 | INFO | Train Epoch: 10 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.17586 (0.18874) Boundary_loss: 0.012820 (0.012854) Loss: 0.18868 (0.20160) +2025-08-24,12:38:10 | INFO | Train Epoch: 10 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.20881 (0.18878) Boundary_loss: 0.012799 (0.012854) Loss: 0.22161 (0.20164) +2025-08-24,12:39:09 | INFO | Train Epoch: 10 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.12870 (0.18866) Boundary_loss: 0.012825 (0.012854) Loss: 0.14152 (0.20151) +2025-08-24,12:40:08 | INFO | Train Epoch: 10 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.693 Boundary Ratio: 0.100 Contrastive_loss: 0.11905 (0.18852) Boundary_loss: 0.012884 (0.012854) Loss: 0.13193 (0.20137) +2025-08-24,12:41:06 | INFO | Train Epoch: 10 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.18272 (0.18851) Boundary_loss: 0.012780 (0.012854) Loss: 0.19550 (0.20136) +2025-08-24,12:42:05 | INFO | Train Epoch: 10 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.21559 (0.18856) Boundary_loss: 0.012892 (0.012854) Loss: 0.22848 (0.20142) +2025-08-24,12:43:04 | INFO | Train Epoch: 10 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.16334 (0.18851) Boundary_loss: 0.012791 (0.012854) Loss: 0.17613 (0.20136) +2025-08-24,12:44:02 | INFO | Train Epoch: 10 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.18602 (0.18851) Boundary_loss: 0.012791 (0.012853) Loss: 0.19881 (0.20136) +2025-08-24,12:45:01 | INFO | Train Epoch: 10 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.16051 (0.18845) Boundary_loss: 0.012923 (0.012854) Loss: 0.17343 (0.20130) +2025-08-24,12:46:00 | INFO | Train Epoch: 10 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.17278 (0.18842) Boundary_loss: 0.012758 (0.012853) Loss: 0.18554 (0.20127) +2025-08-24,12:46:58 | INFO | Train Epoch: 10 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.15016 (0.18834) Boundary_loss: 0.012853 (0.012853) Loss: 0.16301 (0.20119) +2025-08-24,12:47:57 | INFO | Train Epoch: 10 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.12571 (0.18822) Boundary_loss: 0.012870 (0.012853) Loss: 0.13858 (0.20107) +2025-08-24,12:48:56 | INFO | Train Epoch: 10 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.18149 (0.18820) Boundary_loss: 0.012831 (0.012853) Loss: 0.19432 (0.20106) +2025-08-24,12:49:54 | INFO | Train Epoch: 10 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.18198 (0.18819) Boundary_loss: 0.012695 (0.012853) Loss: 0.19467 (0.20104) +2025-08-24,12:50:53 | INFO | Train Epoch: 10 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.14311 (0.18810) Boundary_loss: 0.012824 (0.012853) Loss: 0.15594 (0.20095) +2025-08-24,12:51:51 | INFO | Train Epoch: 10 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.20789 (0.18814) Boundary_loss: 0.012888 (0.012853) Loss: 0.22077 (0.20099) +2025-08-24,12:52:50 | INFO | Train Epoch: 10 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.16627 (0.18810) Boundary_loss: 0.012806 (0.012853) Loss: 0.17908 (0.20095) +2025-08-24,12:53:49 | INFO | Train Epoch: 10 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.17973 (0.18808) Boundary_loss: 0.012887 (0.012853) Loss: 0.19262 (0.20093) +2025-08-24,12:54:47 | INFO | Train Epoch: 10 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.15666 (0.18802) Boundary_loss: 0.012872 (0.012853) Loss: 0.16954 (0.20087) +2025-08-24,12:55:46 | INFO | Train Epoch: 10 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.20945 (0.18806) Boundary_loss: 0.012766 (0.012853) Loss: 0.22221 (0.20091) +2025-08-24,12:56:45 | INFO | Train Epoch: 10 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.22609 (0.18813) Boundary_loss: 0.012862 (0.012853) Loss: 0.23895 (0.20099) +2025-08-24,12:57:43 | INFO | Train Epoch: 10 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.19274 (0.18814) Boundary_loss: 0.012858 (0.012853) Loss: 0.20559 (0.20100) +2025-08-24,12:58:42 | INFO | Train Epoch: 10 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.25690 (0.18828) Boundary_loss: 0.012734 (0.012853) Loss: 0.26964 (0.20113) +2025-08-24,12:59:41 | INFO | Train Epoch: 10 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.17047 (0.18824) Boundary_loss: 0.012786 (0.012853) Loss: 0.18326 (0.20110) +2025-08-24,13:00:39 | INFO | Train Epoch: 10 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.19114 (0.18825) Boundary_loss: 0.012898 (0.012853) Loss: 0.20404 (0.20110) +2025-08-24,13:01:38 | INFO | Train Epoch: 10 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.15447 (0.18818) Boundary_loss: 0.012858 (0.012853) Loss: 0.16733 (0.20104) +2025-08-24,13:02:36 | INFO | Train Epoch: 10 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.22077 (0.18825) Boundary_loss: 0.012822 (0.012853) Loss: 0.23359 (0.20110) +2025-08-24,13:03:32 | INFO | Train Epoch: 10 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.510 Boundary Ratio: 0.100 Contrastive_loss: 0.23507 (0.18834) Boundary_loss: 0.012998 (0.012853) Loss: 0.24807 (0.20119) +2025-08-24,13:03:32 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-24,13:03:32 | INFO | [Epoch 10] Average Step Time: 0.589s | Average GPU Memory: 33.4 GB +2025-08-24,13:03:32 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-24,13:03:32 | INFO | Starting zero-shot imagenet. +2025-08-24,13:03:32 | INFO | Building zero-shot classifier +2025-08-24,13:03:41 | INFO | Using classifier +2025-08-24,13:04:26 | INFO | Finished zero-shot imagenet. +2025-08-24,13:04:26 | INFO | Eval Epoch: 11 imagenet-zeroshot-val-top1: 0.3042 imagenet-zeroshot-val-top5: 0.5763 +2025-08-24,13:04:27 | INFO | Start epoch 11 +2025-08-24,13:04:30 | INFO | Train Epoch: 11 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.14082 (0.14082) Boundary_loss: 0.012860 (0.012860) Loss: 0.15368 (0.15368) +2025-08-24,13:05:28 | INFO | Train Epoch: 11 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.14033 (0.14057) Boundary_loss: 0.012779 (0.012819) Loss: 0.15311 (0.15339) +2025-08-24,13:06:27 | INFO | Train Epoch: 11 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.12986 (0.13700) Boundary_loss: 0.012786 (0.012808) Loss: 0.14265 (0.14981) +2025-08-24,13:07:25 | INFO | Train Epoch: 11 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.15206 (0.14077) Boundary_loss: 0.012914 (0.012835) Loss: 0.16497 (0.15360) +2025-08-24,13:08:24 | INFO | Train Epoch: 11 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.18943 (0.15050) Boundary_loss: 0.012912 (0.012850) Loss: 0.20234 (0.16335) +2025-08-24,13:09:22 | INFO | Train Epoch: 11 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.15830 (0.15180) Boundary_loss: 0.012838 (0.012848) Loss: 0.17114 (0.16465) +2025-08-24,13:10:21 | INFO | Train Epoch: 11 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.22669 (0.16250) Boundary_loss: 0.012845 (0.012848) Loss: 0.23954 (0.17535) +2025-08-24,13:11:19 | INFO | Train Epoch: 11 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.15620 (0.16171) Boundary_loss: 0.012876 (0.012851) Loss: 0.16908 (0.17456) +2025-08-24,13:12:18 | INFO | Train Epoch: 11 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.18055 (0.16380) Boundary_loss: 0.012816 (0.012847) Loss: 0.19337 (0.17665) +2025-08-24,13:13:16 | INFO | Train Epoch: 11 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.20626 (0.16805) Boundary_loss: 0.012908 (0.012853) Loss: 0.21917 (0.18090) +2025-08-24,13:14:15 | INFO | Train Epoch: 11 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.14619 (0.16606) Boundary_loss: 0.012772 (0.012846) Loss: 0.15896 (0.17891) +2025-08-24,13:15:13 | INFO | Train Epoch: 11 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.674 Boundary Ratio: 0.100 Contrastive_loss: 0.14009 (0.16390) Boundary_loss: 0.012870 (0.012848) Loss: 0.15296 (0.17675) +2025-08-24,13:16:12 | INFO | Train Epoch: 11 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.18003 (0.16514) Boundary_loss: 0.012934 (0.012855) Loss: 0.19296 (0.17799) +2025-08-24,13:17:10 | INFO | Train Epoch: 11 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.14108 (0.16342) Boundary_loss: 0.012803 (0.012851) Loss: 0.15388 (0.17627) +2025-08-24,13:18:09 | INFO | Train Epoch: 11 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.12011 (0.16053) Boundary_loss: 0.012910 (0.012855) Loss: 0.13302 (0.17339) +2025-08-24,13:19:07 | INFO | Train Epoch: 11 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.15682 (0.16030) Boundary_loss: 0.012847 (0.012854) Loss: 0.16966 (0.17316) +2025-08-24,13:20:06 | INFO | Train Epoch: 11 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.14781 (0.15957) Boundary_loss: 0.012908 (0.012857) Loss: 0.16072 (0.17242) +2025-08-24,13:21:04 | INFO | Train Epoch: 11 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.14477 (0.15874) Boundary_loss: 0.012751 (0.012852) Loss: 0.15752 (0.17160) +2025-08-24,13:22:03 | INFO | Train Epoch: 11 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.16606 (0.15913) Boundary_loss: 0.012878 (0.012853) Loss: 0.17893 (0.17198) +2025-08-24,13:23:01 | INFO | Train Epoch: 11 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.16131 (0.15924) Boundary_loss: 0.012808 (0.012851) Loss: 0.17412 (0.17209) +2025-08-24,13:24:00 | INFO | Train Epoch: 11 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.12663 (0.15769) Boundary_loss: 0.012823 (0.012849) Loss: 0.13945 (0.17054) +2025-08-24,13:24:58 | INFO | Train Epoch: 11 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.15747 (0.15768) Boundary_loss: 0.012835 (0.012849) Loss: 0.17030 (0.17052) +2025-08-24,13:25:57 | INFO | Train Epoch: 11 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.14706 (0.15721) Boundary_loss: 0.012901 (0.012851) Loss: 0.15996 (0.17007) +2025-08-24,13:26:55 | INFO | Train Epoch: 11 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.11734 (0.15555) Boundary_loss: 0.012824 (0.012850) Loss: 0.13017 (0.16840) +2025-08-24,13:27:54 | INFO | Train Epoch: 11 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.15353 (0.15547) Boundary_loss: 0.012850 (0.012850) Loss: 0.16638 (0.16832) +2025-08-24,13:28:52 | INFO | Train Epoch: 11 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.16529 (0.15585) Boundary_loss: 0.012855 (0.012850) Loss: 0.17815 (0.16870) +2025-08-24,13:29:51 | INFO | Train Epoch: 11 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.16975 (0.15636) Boundary_loss: 0.012941 (0.012853) Loss: 0.18269 (0.16922) +2025-08-24,13:30:50 | INFO | Train Epoch: 11 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.525 Boundary Ratio: 0.100 Contrastive_loss: 0.13528 (0.15561) Boundary_loss: 0.012922 (0.012856) Loss: 0.14820 (0.16847) +2025-08-24,13:31:48 | INFO | Train Epoch: 11 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.19872 (0.15710) Boundary_loss: 0.012842 (0.012855) Loss: 0.21157 (0.16995) +2025-08-24,13:32:47 | INFO | Train Epoch: 11 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.14515 (0.15670) Boundary_loss: 0.012855 (0.012855) Loss: 0.15800 (0.16955) +2025-08-24,13:33:45 | INFO | Train Epoch: 11 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.14748 (0.15640) Boundary_loss: 0.012851 (0.012855) Loss: 0.16033 (0.16926) +2025-08-24,13:34:44 | INFO | Train Epoch: 11 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.16335 (0.15662) Boundary_loss: 0.012761 (0.012852) Loss: 0.17611 (0.16947) +2025-08-24,13:35:42 | INFO | Train Epoch: 11 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.15965 (0.15671) Boundary_loss: 0.012710 (0.012848) Loss: 0.17236 (0.16956) +2025-08-24,13:36:41 | INFO | Train Epoch: 11 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.15082 (0.15654) Boundary_loss: 0.012868 (0.012849) Loss: 0.16369 (0.16939) +2025-08-24,13:37:39 | INFO | Train Epoch: 11 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.18312 (0.15730) Boundary_loss: 0.012752 (0.012846) Loss: 0.19587 (0.17014) +2025-08-24,13:38:38 | INFO | Train Epoch: 11 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.14698 (0.15701) Boundary_loss: 0.012826 (0.012845) Loss: 0.15981 (0.16986) +2025-08-24,13:39:36 | INFO | Train Epoch: 11 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.12854 (0.15624) Boundary_loss: 0.012853 (0.012845) Loss: 0.14139 (0.16909) +2025-08-24,13:40:35 | INFO | Train Epoch: 11 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.14876 (0.15604) Boundary_loss: 0.012961 (0.012848) Loss: 0.16172 (0.16889) +2025-08-24,13:41:34 | INFO | Train Epoch: 11 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.18557 (0.15680) Boundary_loss: 0.012788 (0.012847) Loss: 0.19836 (0.16965) +2025-08-24,13:42:32 | INFO | Train Epoch: 11 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.17733 (0.15731) Boundary_loss: 0.012761 (0.012845) Loss: 0.19009 (0.17016) +2025-08-24,13:43:31 | INFO | Train Epoch: 11 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.12505 (0.15653) Boundary_loss: 0.012752 (0.012843) Loss: 0.13781 (0.16937) +2025-08-24,13:44:29 | INFO | Train Epoch: 11 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.13210 (0.15595) Boundary_loss: 0.012858 (0.012843) Loss: 0.14496 (0.16879) +2025-08-24,13:45:28 | INFO | Train Epoch: 11 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.18326 (0.15658) Boundary_loss: 0.012795 (0.012842) Loss: 0.19606 (0.16942) +2025-08-24,13:46:27 | INFO | Train Epoch: 11 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.14480 (0.15631) Boundary_loss: 0.012889 (0.012843) Loss: 0.15769 (0.16916) +2025-08-24,13:47:25 | INFO | Train Epoch: 11 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.19056 (0.15707) Boundary_loss: 0.012679 (0.012839) Loss: 0.20324 (0.16991) +2025-08-24,13:48:24 | INFO | Train Epoch: 11 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.12728 (0.15643) Boundary_loss: 0.012852 (0.012839) Loss: 0.14013 (0.16927) +2025-08-24,13:49:22 | INFO | Train Epoch: 11 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.22799 (0.15795) Boundary_loss: 0.012713 (0.012837) Loss: 0.24070 (0.17079) +2025-08-24,13:50:21 | INFO | Train Epoch: 11 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.14728 (0.15773) Boundary_loss: 0.012766 (0.012835) Loss: 0.16004 (0.17056) +2025-08-24,13:51:20 | INFO | Train Epoch: 11 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.16728 (0.15792) Boundary_loss: 0.012831 (0.012835) Loss: 0.18011 (0.17076) +2025-08-24,13:52:18 | INFO | Train Epoch: 11 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.13909 (0.15755) Boundary_loss: 0.012821 (0.012835) Loss: 0.15191 (0.17038) +2025-08-24,13:53:17 | INFO | Train Epoch: 11 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.12294 (0.15687) Boundary_loss: 0.012886 (0.012836) Loss: 0.13583 (0.16970) +2025-08-24,13:54:15 | INFO | Train Epoch: 11 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.11908 (0.15614) Boundary_loss: 0.012743 (0.012834) Loss: 0.13182 (0.16897) +2025-08-24,13:55:14 | INFO | Train Epoch: 11 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.15814 (0.15618) Boundary_loss: 0.012793 (0.012833) Loss: 0.17093 (0.16901) +2025-08-24,13:56:13 | INFO | Train Epoch: 11 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.18139 (0.15665) Boundary_loss: 0.012755 (0.012832) Loss: 0.19414 (0.16948) +2025-08-24,13:57:11 | INFO | Train Epoch: 11 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 0.16549 (0.15681) Boundary_loss: 0.012810 (0.012832) Loss: 0.17830 (0.16964) +2025-08-24,13:58:10 | INFO | Train Epoch: 11 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.22620 (0.15805) Boundary_loss: 0.012887 (0.012833) Loss: 0.23909 (0.17088) +2025-08-24,13:59:09 | INFO | Train Epoch: 11 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.12027 (0.15738) Boundary_loss: 0.012781 (0.012832) Loss: 0.13305 (0.17021) +2025-08-24,14:00:07 | INFO | Train Epoch: 11 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.19687 (0.15806) Boundary_loss: 0.012859 (0.012832) Loss: 0.20973 (0.17090) +2025-08-24,14:01:06 | INFO | Train Epoch: 11 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.13804 (0.15772) Boundary_loss: 0.012890 (0.012833) Loss: 0.15093 (0.17056) +2025-08-24,14:02:04 | INFO | Train Epoch: 11 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.13396 (0.15733) Boundary_loss: 0.012765 (0.012832) Loss: 0.14672 (0.17016) +2025-08-24,14:03:03 | INFO | Train Epoch: 11 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.14344 (0.15710) Boundary_loss: 0.012834 (0.012832) Loss: 0.15628 (0.16993) +2025-08-24,14:04:02 | INFO | Train Epoch: 11 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.13423 (0.15673) Boundary_loss: 0.012878 (0.012833) Loss: 0.14711 (0.16956) +2025-08-24,14:05:00 | INFO | Train Epoch: 11 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.14082 (0.15648) Boundary_loss: 0.012831 (0.012833) Loss: 0.15365 (0.16931) +2025-08-24,14:05:59 | INFO | Train Epoch: 11 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.11782 (0.15587) Boundary_loss: 0.012783 (0.012832) Loss: 0.13060 (0.16871) +2025-08-24,14:06:58 | INFO | Train Epoch: 11 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.12969 (0.15547) Boundary_loss: 0.012814 (0.012832) Loss: 0.14250 (0.16830) +2025-08-24,14:07:56 | INFO | Train Epoch: 11 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.16901 (0.15568) Boundary_loss: 0.012818 (0.012831) Loss: 0.18183 (0.16851) +2025-08-24,14:08:55 | INFO | Train Epoch: 11 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.545 Boundary Ratio: 0.100 Contrastive_loss: 0.15221 (0.15562) Boundary_loss: 0.012940 (0.012833) Loss: 0.16515 (0.16846) +2025-08-24,14:09:53 | INFO | Train Epoch: 11 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.16699 (0.15579) Boundary_loss: 0.012837 (0.012833) Loss: 0.17983 (0.16863) +2025-08-24,14:10:52 | INFO | Train Epoch: 11 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.17341 (0.15605) Boundary_loss: 0.012870 (0.012834) Loss: 0.18628 (0.16888) +2025-08-24,14:11:51 | INFO | Train Epoch: 11 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.13754 (0.15578) Boundary_loss: 0.012855 (0.012834) Loss: 0.15039 (0.16862) +2025-08-24,14:12:49 | INFO | Train Epoch: 11 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.16602 (0.15593) Boundary_loss: 0.012825 (0.012834) Loss: 0.17884 (0.16876) +2025-08-24,14:13:48 | INFO | Train Epoch: 11 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.14682 (0.15580) Boundary_loss: 0.012862 (0.012834) Loss: 0.15968 (0.16863) +2025-08-24,14:14:46 | INFO | Train Epoch: 11 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.11795 (0.15528) Boundary_loss: 0.012795 (0.012834) Loss: 0.13074 (0.16812) +2025-08-24,14:15:45 | INFO | Train Epoch: 11 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.19004 (0.15575) Boundary_loss: 0.012934 (0.012835) Loss: 0.20298 (0.16859) +2025-08-24,14:16:44 | INFO | Train Epoch: 11 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.13616 (0.15549) Boundary_loss: 0.012911 (0.012836) Loss: 0.14907 (0.16833) +2025-08-24,14:17:42 | INFO | Train Epoch: 11 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.15991 (0.15555) Boundary_loss: 0.012799 (0.012836) Loss: 0.17271 (0.16838) +2025-08-24,14:18:41 | INFO | Train Epoch: 11 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.13640 (0.15530) Boundary_loss: 0.012857 (0.012836) Loss: 0.14926 (0.16814) +2025-08-24,14:19:40 | INFO | Train Epoch: 11 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.20598 (0.15595) Boundary_loss: 0.012779 (0.012835) Loss: 0.21876 (0.16878) +2025-08-24,14:20:38 | INFO | Train Epoch: 11 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.15209 (0.15590) Boundary_loss: 0.012823 (0.012835) Loss: 0.16491 (0.16874) +2025-08-24,14:21:37 | INFO | Train Epoch: 11 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.439 Boundary Ratio: 0.099 Contrastive_loss: 0.12684 (0.15554) Boundary_loss: 0.012767 (0.012834) Loss: 0.13961 (0.16837) +2025-08-24,14:22:35 | INFO | Train Epoch: 11 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.17528 (0.15578) Boundary_loss: 0.012878 (0.012835) Loss: 0.18816 (0.16862) +2025-08-24,14:23:34 | INFO | Train Epoch: 11 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.19781 (0.15629) Boundary_loss: 0.012948 (0.012836) Loss: 0.21076 (0.16913) +2025-08-24,14:24:32 | INFO | Train Epoch: 11 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.15144 (0.15624) Boundary_loss: 0.013072 (0.012839) Loss: 0.16451 (0.16907) +2025-08-24,14:25:31 | INFO | Train Epoch: 11 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.10145 (0.15558) Boundary_loss: 0.012872 (0.012839) Loss: 0.11432 (0.16842) +2025-08-24,14:26:30 | INFO | Train Epoch: 11 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.15847 (0.15562) Boundary_loss: 0.012902 (0.012840) Loss: 0.17137 (0.16846) +2025-08-24,14:27:28 | INFO | Train Epoch: 11 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 18.980 Boundary Ratio: 0.097 Contrastive_loss: 0.14079 (0.15544) Boundary_loss: 0.012886 (0.012841) Loss: 0.15368 (0.16829) +2025-08-24,14:28:27 | INFO | Train Epoch: 11 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.12371 (0.15508) Boundary_loss: 0.012807 (0.012840) Loss: 0.13652 (0.16792) +2025-08-24,14:29:25 | INFO | Train Epoch: 11 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.21193 (0.15573) Boundary_loss: 0.012882 (0.012841) Loss: 0.22481 (0.16857) +2025-08-24,14:30:24 | INFO | Train Epoch: 11 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.14547 (0.15561) Boundary_loss: 0.012839 (0.012841) Loss: 0.15831 (0.16845) +2025-08-24,14:31:23 | INFO | Train Epoch: 11 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.15699 (0.15563) Boundary_loss: 0.012820 (0.012840) Loss: 0.16981 (0.16847) +2025-08-24,14:32:21 | INFO | Train Epoch: 11 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.14722 (0.15553) Boundary_loss: 0.012826 (0.012840) Loss: 0.16005 (0.16837) +2025-08-24,14:33:20 | INFO | Train Epoch: 11 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.15780 (0.15556) Boundary_loss: 0.012875 (0.012841) Loss: 0.17067 (0.16840) +2025-08-24,14:34:18 | INFO | Train Epoch: 11 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.15708 (0.15557) Boundary_loss: 0.012840 (0.012841) Loss: 0.16992 (0.16842) +2025-08-24,14:35:17 | INFO | Train Epoch: 11 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.15499 (0.15557) Boundary_loss: 0.012810 (0.012840) Loss: 0.16780 (0.16841) +2025-08-24,14:36:15 | INFO | Train Epoch: 11 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 18.945 Boundary Ratio: 0.097 Contrastive_loss: 0.16078 (0.15562) Boundary_loss: 0.012872 (0.012841) Loss: 0.17365 (0.16846) +2025-08-24,14:37:14 | INFO | Train Epoch: 11 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.18029 (0.15588) Boundary_loss: 0.012905 (0.012841) Loss: 0.19320 (0.16872) +2025-08-24,14:38:13 | INFO | Train Epoch: 11 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.13279 (0.15564) Boundary_loss: 0.012785 (0.012841) Loss: 0.14557 (0.16848) +2025-08-24,14:39:11 | INFO | Train Epoch: 11 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.16406 (0.15573) Boundary_loss: 0.012862 (0.012841) Loss: 0.17692 (0.16857) +2025-08-24,14:40:10 | INFO | Train Epoch: 11 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.16666 (0.15584) Boundary_loss: 0.012837 (0.012841) Loss: 0.17949 (0.16868) +2025-08-24,14:41:08 | INFO | Train Epoch: 11 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.14322 (0.15571) Boundary_loss: 0.012842 (0.012841) Loss: 0.15606 (0.16855) +2025-08-24,14:42:07 | INFO | Train Epoch: 11 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.13990 (0.15556) Boundary_loss: 0.012882 (0.012841) Loss: 0.15278 (0.16840) +2025-08-24,14:43:06 | INFO | Train Epoch: 11 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.14888 (0.15549) Boundary_loss: 0.012788 (0.012841) Loss: 0.16167 (0.16833) +2025-08-24,14:44:04 | INFO | Train Epoch: 11 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.16076 (0.15554) Boundary_loss: 0.012861 (0.012841) Loss: 0.17362 (0.16838) +2025-08-24,14:45:03 | INFO | Train Epoch: 11 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.13448 (0.15534) Boundary_loss: 0.012863 (0.012841) Loss: 0.14734 (0.16818) +2025-08-24,14:46:02 | INFO | Train Epoch: 11 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.12529 (0.15505) Boundary_loss: 0.012896 (0.012842) Loss: 0.13818 (0.16789) +2025-08-24,14:47:00 | INFO | Train Epoch: 11 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.15799 (0.15508) Boundary_loss: 0.012916 (0.012842) Loss: 0.17091 (0.16792) +2025-08-24,14:47:59 | INFO | Train Epoch: 11 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.18652 (0.15537) Boundary_loss: 0.012842 (0.012842) Loss: 0.19937 (0.16822) +2025-08-24,14:48:57 | INFO | Train Epoch: 11 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.18008 (0.15560) Boundary_loss: 0.012809 (0.012842) Loss: 0.19289 (0.16845) +2025-08-24,14:49:56 | INFO | Train Epoch: 11 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 18.918 Boundary Ratio: 0.097 Contrastive_loss: 0.13536 (0.15542) Boundary_loss: 0.012815 (0.012842) Loss: 0.14817 (0.16826) +2025-08-24,14:50:55 | INFO | Train Epoch: 11 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 18.982 Boundary Ratio: 0.097 Contrastive_loss: 0.14753 (0.15535) Boundary_loss: 0.012838 (0.012842) Loss: 0.16036 (0.16819) +2025-08-24,14:51:53 | INFO | Train Epoch: 11 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.13982 (0.15521) Boundary_loss: 0.012732 (0.012841) Loss: 0.15255 (0.16805) +2025-08-24,14:52:52 | INFO | Train Epoch: 11 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.15759 (0.15523) Boundary_loss: 0.012857 (0.012841) Loss: 0.17045 (0.16807) +2025-08-24,14:53:50 | INFO | Train Epoch: 11 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.15950 (0.15527) Boundary_loss: 0.012855 (0.012841) Loss: 0.17236 (0.16811) +2025-08-24,14:54:49 | INFO | Train Epoch: 11 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.20302 (0.15568) Boundary_loss: 0.012802 (0.012841) Loss: 0.21583 (0.16852) +2025-08-24,14:55:48 | INFO | Train Epoch: 11 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.14069 (0.15555) Boundary_loss: 0.012830 (0.012841) Loss: 0.15352 (0.16839) +2025-08-24,14:56:46 | INFO | Train Epoch: 11 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.15375 (0.15554) Boundary_loss: 0.012756 (0.012840) Loss: 0.16651 (0.16838) +2025-08-24,14:57:45 | INFO | Train Epoch: 11 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.14359 (0.15544) Boundary_loss: 0.012855 (0.012840) Loss: 0.15644 (0.16828) +2025-08-24,14:58:43 | INFO | Train Epoch: 11 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.17051 (0.15556) Boundary_loss: 0.012852 (0.012840) Loss: 0.18337 (0.16840) +2025-08-24,14:59:42 | INFO | Train Epoch: 11 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.13470 (0.15539) Boundary_loss: 0.012804 (0.012840) Loss: 0.14750 (0.16823) +2025-08-24,15:00:41 | INFO | Train Epoch: 11 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.13646 (0.15523) Boundary_loss: 0.012839 (0.012840) Loss: 0.14930 (0.16807) +2025-08-24,15:01:39 | INFO | Train Epoch: 11 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.12097 (0.15495) Boundary_loss: 0.012764 (0.012839) Loss: 0.13373 (0.16779) +2025-08-24,15:02:38 | INFO | Train Epoch: 11 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.20981 (0.15540) Boundary_loss: 0.012859 (0.012839) Loss: 0.22267 (0.16824) +2025-08-24,15:03:36 | INFO | Train Epoch: 11 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.13977 (0.15527) Boundary_loss: 0.012857 (0.012840) Loss: 0.15263 (0.16811) +2025-08-24,15:04:35 | INFO | Train Epoch: 11 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.12440 (0.15502) Boundary_loss: 0.012722 (0.012839) Loss: 0.13712 (0.16786) +2025-08-24,15:05:34 | INFO | Train Epoch: 11 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.14489 (0.15494) Boundary_loss: 0.012787 (0.012838) Loss: 0.15768 (0.16778) +2025-08-24,15:06:32 | INFO | Train Epoch: 11 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.14868 (0.15489) Boundary_loss: 0.012840 (0.012838) Loss: 0.16152 (0.16773) +2025-08-24,15:07:31 | INFO | Train Epoch: 11 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.17725 (0.15507) Boundary_loss: 0.012789 (0.012838) Loss: 0.19004 (0.16790) +2025-08-24,15:08:30 | INFO | Train Epoch: 11 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.12895 (0.15486) Boundary_loss: 0.012800 (0.012837) Loss: 0.14175 (0.16770) +2025-08-24,15:09:28 | INFO | Train Epoch: 11 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.10304 (0.15446) Boundary_loss: 0.012823 (0.012837) Loss: 0.11586 (0.16730) +2025-08-24,15:10:27 | INFO | Train Epoch: 11 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 18.936 Boundary Ratio: 0.097 Contrastive_loss: 0.16584 (0.15455) Boundary_loss: 0.012861 (0.012838) Loss: 0.17870 (0.16739) +2025-08-24,15:11:25 | INFO | Train Epoch: 11 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.16260 (0.15461) Boundary_loss: 0.012928 (0.012838) Loss: 0.17553 (0.16745) +2025-08-24,15:12:24 | INFO | Train Epoch: 11 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.17245 (0.15474) Boundary_loss: 0.012869 (0.012838) Loss: 0.18532 (0.16758) +2025-08-24,15:13:23 | INFO | Train Epoch: 11 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.14505 (0.15467) Boundary_loss: 0.012791 (0.012838) Loss: 0.15784 (0.16751) +2025-08-24,15:14:21 | INFO | Train Epoch: 11 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.15746 (0.15469) Boundary_loss: 0.012945 (0.012839) Loss: 0.17040 (0.16753) +2025-08-24,15:15:20 | INFO | Train Epoch: 11 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.17645 (0.15485) Boundary_loss: 0.012892 (0.012839) Loss: 0.18934 (0.16769) +2025-08-24,15:16:18 | INFO | Train Epoch: 11 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.18644 (0.15509) Boundary_loss: 0.012813 (0.012839) Loss: 0.19925 (0.16793) +2025-08-24,15:17:17 | INFO | Train Epoch: 11 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.16803 (0.15518) Boundary_loss: 0.012812 (0.012839) Loss: 0.18084 (0.16802) +2025-08-24,15:18:16 | INFO | Train Epoch: 11 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.17314 (0.15531) Boundary_loss: 0.012940 (0.012840) Loss: 0.18608 (0.16815) +2025-08-24,15:19:14 | INFO | Train Epoch: 11 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.18243 (0.15551) Boundary_loss: 0.012820 (0.012840) Loss: 0.19525 (0.16835) +2025-08-24,15:20:13 | INFO | Train Epoch: 11 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.15654 (0.15551) Boundary_loss: 0.012902 (0.012840) Loss: 0.16945 (0.16835) +2025-08-24,15:21:12 | INFO | Train Epoch: 11 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.14556 (0.15544) Boundary_loss: 0.012866 (0.012840) Loss: 0.15843 (0.16828) +2025-08-24,15:22:10 | INFO | Train Epoch: 11 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.11827 (0.15518) Boundary_loss: 0.012829 (0.012840) Loss: 0.13110 (0.16802) +2025-08-24,15:23:09 | INFO | Train Epoch: 11 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.14824 (0.15513) Boundary_loss: 0.012812 (0.012840) Loss: 0.16106 (0.16797) +2025-08-24,15:24:07 | INFO | Train Epoch: 11 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.11563 (0.15486) Boundary_loss: 0.012781 (0.012839) Loss: 0.12841 (0.16770) +2025-08-24,15:25:06 | INFO | Train Epoch: 11 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.16401 (0.15492) Boundary_loss: 0.012802 (0.012839) Loss: 0.17681 (0.16776) +2025-08-24,15:26:05 | INFO | Train Epoch: 11 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.14256 (0.15484) Boundary_loss: 0.012824 (0.012839) Loss: 0.15538 (0.16768) +2025-08-24,15:27:03 | INFO | Train Epoch: 11 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.13574 (0.15471) Boundary_loss: 0.012817 (0.012839) Loss: 0.14855 (0.16755) +2025-08-24,15:28:02 | INFO | Train Epoch: 11 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.13733 (0.15459) Boundary_loss: 0.012870 (0.012839) Loss: 0.15020 (0.16743) +2025-08-24,15:29:01 | INFO | Train Epoch: 11 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.12406 (0.15438) Boundary_loss: 0.012839 (0.012839) Loss: 0.13690 (0.16722) +2025-08-24,15:29:59 | INFO | Train Epoch: 11 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.14343 (0.15431) Boundary_loss: 0.012841 (0.012839) Loss: 0.15627 (0.16715) +2025-08-24,15:30:58 | INFO | Train Epoch: 11 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.16018 (0.15435) Boundary_loss: 0.012824 (0.012839) Loss: 0.17300 (0.16719) +2025-08-24,15:31:57 | INFO | Train Epoch: 11 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.12007 (0.15412) Boundary_loss: 0.012873 (0.012839) Loss: 0.13294 (0.16696) +2025-08-24,15:32:55 | INFO | Train Epoch: 11 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.16167 (0.15417) Boundary_loss: 0.012847 (0.012839) Loss: 0.17452 (0.16701) +2025-08-24,15:33:54 | INFO | Train Epoch: 11 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.17247 (0.15429) Boundary_loss: 0.012827 (0.012839) Loss: 0.18530 (0.16713) +2025-08-24,15:34:53 | INFO | Train Epoch: 11 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.20589 (0.15463) Boundary_loss: 0.012928 (0.012840) Loss: 0.21882 (0.16747) +2025-08-24,15:35:51 | INFO | Train Epoch: 11 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.16538 (0.15469) Boundary_loss: 0.012906 (0.012840) Loss: 0.17829 (0.16753) +2025-08-24,15:36:50 | INFO | Train Epoch: 11 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.521 Boundary Ratio: 0.100 Contrastive_loss: 0.14717 (0.15465) Boundary_loss: 0.012879 (0.012840) Loss: 0.16005 (0.16749) +2025-08-24,15:37:48 | INFO | Train Epoch: 11 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.16142 (0.15469) Boundary_loss: 0.012809 (0.012840) Loss: 0.17423 (0.16753) +2025-08-24,15:38:47 | INFO | Train Epoch: 11 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.15316 (0.15468) Boundary_loss: 0.012943 (0.012841) Loss: 0.16610 (0.16752) +2025-08-24,15:39:46 | INFO | Train Epoch: 11 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.20812 (0.15501) Boundary_loss: 0.012795 (0.012841) Loss: 0.22092 (0.16785) +2025-08-24,15:40:44 | INFO | Train Epoch: 11 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.15962 (0.15504) Boundary_loss: 0.012860 (0.012841) Loss: 0.17248 (0.16788) +2025-08-24,15:41:43 | INFO | Train Epoch: 11 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.16814 (0.15512) Boundary_loss: 0.012804 (0.012841) Loss: 0.18094 (0.16796) +2025-08-24,15:42:42 | INFO | Train Epoch: 11 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.568 Boundary Ratio: 0.100 Contrastive_loss: 0.14976 (0.15509) Boundary_loss: 0.012846 (0.012841) Loss: 0.16261 (0.16793) +2025-08-24,15:43:40 | INFO | Train Epoch: 11 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.19954 (0.15536) Boundary_loss: 0.012869 (0.012841) Loss: 0.21241 (0.16820) +2025-08-24,15:44:39 | INFO | Train Epoch: 11 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.049 Boundary Ratio: 0.097 Contrastive_loss: 0.14597 (0.15530) Boundary_loss: 0.012830 (0.012841) Loss: 0.15880 (0.16815) +2025-08-24,15:45:37 | INFO | Train Epoch: 11 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.13163 (0.15516) Boundary_loss: 0.012891 (0.012841) Loss: 0.14452 (0.16800) +2025-08-24,15:46:36 | INFO | Train Epoch: 11 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.12794 (0.15500) Boundary_loss: 0.012805 (0.012841) Loss: 0.14074 (0.16784) +2025-08-24,15:47:35 | INFO | Train Epoch: 11 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.15855 (0.15502) Boundary_loss: 0.012826 (0.012841) Loss: 0.17138 (0.16786) +2025-08-24,15:48:33 | INFO | Train Epoch: 11 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.15339 (0.15501) Boundary_loss: 0.012729 (0.012840) Loss: 0.16612 (0.16785) +2025-08-24,15:49:32 | INFO | Train Epoch: 11 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.19213 (0.15523) Boundary_loss: 0.012832 (0.012840) Loss: 0.20496 (0.16807) +2025-08-24,15:50:31 | INFO | Train Epoch: 11 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.13594 (0.15512) Boundary_loss: 0.012898 (0.012840) Loss: 0.14884 (0.16796) +2025-08-24,15:51:29 | INFO | Train Epoch: 11 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.10898 (0.15485) Boundary_loss: 0.012789 (0.012840) Loss: 0.12177 (0.16769) +2025-08-24,15:52:28 | INFO | Train Epoch: 11 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.17030 (0.15494) Boundary_loss: 0.012826 (0.012840) Loss: 0.18313 (0.16778) +2025-08-24,15:53:26 | INFO | Train Epoch: 11 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.13379 (0.15482) Boundary_loss: 0.012755 (0.012839) Loss: 0.14655 (0.16766) +2025-08-24,15:54:25 | INFO | Train Epoch: 11 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.547 Boundary Ratio: 0.100 Contrastive_loss: 0.14610 (0.15477) Boundary_loss: 0.012663 (0.012838) Loss: 0.15877 (0.16760) +2025-08-24,15:55:24 | INFO | Train Epoch: 11 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.13798 (0.15467) Boundary_loss: 0.012774 (0.012838) Loss: 0.15075 (0.16751) +2025-08-24,15:56:22 | INFO | Train Epoch: 11 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.12664 (0.15451) Boundary_loss: 0.012838 (0.012838) Loss: 0.13948 (0.16735) +2025-08-24,15:57:21 | INFO | Train Epoch: 11 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.17693 (0.15464) Boundary_loss: 0.012777 (0.012838) Loss: 0.18971 (0.16748) +2025-08-24,15:58:20 | INFO | Train Epoch: 11 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.16750 (0.15471) Boundary_loss: 0.012815 (0.012838) Loss: 0.18031 (0.16755) +2025-08-24,15:59:18 | INFO | Train Epoch: 11 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.14696 (0.15467) Boundary_loss: 0.012827 (0.012838) Loss: 0.15978 (0.16750) +2025-08-24,16:00:17 | INFO | Train Epoch: 11 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.15535 (0.15467) Boundary_loss: 0.012861 (0.012838) Loss: 0.16821 (0.16751) +2025-08-24,16:01:16 | INFO | Train Epoch: 11 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.10764 (0.15441) Boundary_loss: 0.012760 (0.012837) Loss: 0.12040 (0.16725) +2025-08-24,16:02:14 | INFO | Train Epoch: 11 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.11717 (0.15421) Boundary_loss: 0.012794 (0.012837) Loss: 0.12996 (0.16705) +2025-08-24,16:03:13 | INFO | Train Epoch: 11 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.16601 (0.15427) Boundary_loss: 0.012915 (0.012837) Loss: 0.17893 (0.16711) +2025-08-24,16:04:11 | INFO | Train Epoch: 11 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.14053 (0.15420) Boundary_loss: 0.012868 (0.012838) Loss: 0.15339 (0.16704) +2025-08-24,16:05:10 | INFO | Train Epoch: 11 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.16458 (0.15425) Boundary_loss: 0.012856 (0.012838) Loss: 0.17743 (0.16709) +2025-08-24,16:06:09 | INFO | Train Epoch: 11 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.15670 (0.15427) Boundary_loss: 0.012767 (0.012837) Loss: 0.16946 (0.16710) +2025-08-24,16:07:07 | INFO | Train Epoch: 11 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.506 Boundary Ratio: 0.100 Contrastive_loss: 0.12837 (0.15413) Boundary_loss: 0.012865 (0.012837) Loss: 0.14123 (0.16697) +2025-08-24,16:08:06 | INFO | Train Epoch: 11 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.12164 (0.15396) Boundary_loss: 0.012816 (0.012837) Loss: 0.13445 (0.16680) +2025-08-24,16:09:05 | INFO | Train Epoch: 11 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.16851 (0.15403) Boundary_loss: 0.012798 (0.012837) Loss: 0.18131 (0.16687) +2025-08-24,16:10:03 | INFO | Train Epoch: 11 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.14217 (0.15397) Boundary_loss: 0.012762 (0.012837) Loss: 0.15493 (0.16681) +2025-08-24,16:11:02 | INFO | Train Epoch: 11 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.12409 (0.15382) Boundary_loss: 0.012794 (0.012837) Loss: 0.13688 (0.16665) +2025-08-24,16:12:01 | INFO | Train Epoch: 11 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.13108 (0.15370) Boundary_loss: 0.012744 (0.012836) Loss: 0.14382 (0.16653) +2025-08-24,16:12:59 | INFO | Train Epoch: 11 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.13833 (0.15362) Boundary_loss: 0.012858 (0.012836) Loss: 0.15118 (0.16646) +2025-08-24,16:13:58 | INFO | Train Epoch: 11 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.13412 (0.15352) Boundary_loss: 0.012820 (0.012836) Loss: 0.14694 (0.16636) +2025-08-24,16:14:57 | INFO | Train Epoch: 11 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.11255 (0.15331) Boundary_loss: 0.012834 (0.012836) Loss: 0.12539 (0.16615) +2025-08-24,16:15:55 | INFO | Train Epoch: 11 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.12220 (0.15315) Boundary_loss: 0.012872 (0.012836) Loss: 0.13507 (0.16599) +2025-08-24,16:16:54 | INFO | Train Epoch: 11 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.15776 (0.15318) Boundary_loss: 0.012831 (0.012836) Loss: 0.17059 (0.16601) +2025-08-24,16:17:53 | INFO | Train Epoch: 11 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.16028 (0.15321) Boundary_loss: 0.012735 (0.012836) Loss: 0.17302 (0.16605) +2025-08-24,16:18:51 | INFO | Train Epoch: 11 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.14169 (0.15315) Boundary_loss: 0.012774 (0.012835) Loss: 0.15446 (0.16599) +2025-08-24,16:19:50 | INFO | Train Epoch: 11 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.18840 (0.15333) Boundary_loss: 0.012866 (0.012836) Loss: 0.20127 (0.16616) +2025-08-24,16:20:48 | INFO | Train Epoch: 11 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.19359 (0.15353) Boundary_loss: 0.012804 (0.012835) Loss: 0.20639 (0.16636) +2025-08-24,16:21:47 | INFO | Train Epoch: 11 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.13705 (0.15345) Boundary_loss: 0.012824 (0.012835) Loss: 0.14987 (0.16628) +2025-08-24,16:22:46 | INFO | Train Epoch: 11 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.17390 (0.15355) Boundary_loss: 0.012800 (0.012835) Loss: 0.18670 (0.16638) +2025-08-24,16:23:44 | INFO | Train Epoch: 11 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.15128 (0.15354) Boundary_loss: 0.012884 (0.012835) Loss: 0.16417 (0.16637) +2025-08-24,16:24:43 | INFO | Train Epoch: 11 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.14709 (0.15351) Boundary_loss: 0.012805 (0.012835) Loss: 0.15990 (0.16634) +2025-08-24,16:25:42 | INFO | Train Epoch: 11 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.13690 (0.15343) Boundary_loss: 0.012926 (0.012836) Loss: 0.14982 (0.16626) +2025-08-24,16:26:40 | INFO | Train Epoch: 11 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.10516 (0.15319) Boundary_loss: 0.012861 (0.012836) Loss: 0.11803 (0.16603) +2025-08-24,16:27:39 | INFO | Train Epoch: 11 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.11423 (0.15301) Boundary_loss: 0.012846 (0.012836) Loss: 0.12707 (0.16584) +2025-08-24,16:28:38 | INFO | Train Epoch: 11 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.17590 (0.15312) Boundary_loss: 0.012803 (0.012836) Loss: 0.18870 (0.16595) +2025-08-24,16:29:36 | INFO | Train Epoch: 11 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.16780 (0.15319) Boundary_loss: 0.012815 (0.012836) Loss: 0.18061 (0.16602) +2025-08-24,16:30:35 | INFO | Train Epoch: 11 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.13275 (0.15309) Boundary_loss: 0.012848 (0.012836) Loss: 0.14560 (0.16592) +2025-08-24,16:31:33 | INFO | Train Epoch: 11 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.14456 (0.15305) Boundary_loss: 0.012817 (0.012836) Loss: 0.15737 (0.16588) +2025-08-24,16:32:32 | INFO | Train Epoch: 11 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.16472 (0.15310) Boundary_loss: 0.012863 (0.012836) Loss: 0.17758 (0.16594) +2025-08-24,16:33:31 | INFO | Train Epoch: 11 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.14788 (0.15308) Boundary_loss: 0.012809 (0.012836) Loss: 0.16069 (0.16591) +2025-08-24,16:34:29 | INFO | Train Epoch: 11 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.13666 (0.15300) Boundary_loss: 0.012838 (0.012836) Loss: 0.14949 (0.16584) +2025-08-24,16:35:28 | INFO | Train Epoch: 11 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.16272 (0.15305) Boundary_loss: 0.012744 (0.012835) Loss: 0.17546 (0.16588) +2025-08-24,16:36:27 | INFO | Train Epoch: 11 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.14886 (0.15303) Boundary_loss: 0.012842 (0.012835) Loss: 0.16170 (0.16586) +2025-08-24,16:37:25 | INFO | Train Epoch: 11 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.16841 (0.15310) Boundary_loss: 0.012883 (0.012835) Loss: 0.18129 (0.16593) +2025-08-24,16:38:24 | INFO | Train Epoch: 11 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.11914 (0.15294) Boundary_loss: 0.012754 (0.012835) Loss: 0.13190 (0.16578) +2025-08-24,16:39:23 | INFO | Train Epoch: 11 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.15311 (0.15295) Boundary_loss: 0.012810 (0.012835) Loss: 0.16592 (0.16578) +2025-08-24,16:40:21 | INFO | Train Epoch: 11 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.11483 (0.15277) Boundary_loss: 0.012879 (0.012835) Loss: 0.12771 (0.16561) +2025-08-24,16:41:20 | INFO | Train Epoch: 11 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.14859 (0.15275) Boundary_loss: 0.012830 (0.012835) Loss: 0.16142 (0.16559) +2025-08-24,16:42:19 | INFO | Train Epoch: 11 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.17770 (0.15287) Boundary_loss: 0.012900 (0.012835) Loss: 0.19060 (0.16570) +2025-08-24,16:43:17 | INFO | Train Epoch: 11 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.16196 (0.15291) Boundary_loss: 0.012863 (0.012836) Loss: 0.17483 (0.16574) +2025-08-24,16:44:16 | INFO | Train Epoch: 11 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.17372 (0.15300) Boundary_loss: 0.012798 (0.012835) Loss: 0.18652 (0.16583) +2025-08-24,16:45:15 | INFO | Train Epoch: 11 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.16160 (0.15304) Boundary_loss: 0.012866 (0.012835) Loss: 0.17447 (0.16587) +2025-08-24,16:46:13 | INFO | Train Epoch: 11 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.21443 (0.15331) Boundary_loss: 0.012779 (0.012835) Loss: 0.22721 (0.16614) +2025-08-24,16:47:12 | INFO | Train Epoch: 11 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.13119 (0.15321) Boundary_loss: 0.012767 (0.012835) Loss: 0.14396 (0.16604) +2025-08-24,16:48:11 | INFO | Train Epoch: 11 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.094595 (0.15295) Boundary_loss: 0.012829 (0.012835) Loss: 0.10742 (0.16579) +2025-08-24,16:49:09 | INFO | Train Epoch: 11 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.14951 (0.15294) Boundary_loss: 0.012787 (0.012835) Loss: 0.16230 (0.16577) +2025-08-24,16:50:08 | INFO | Train Epoch: 11 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.15028 (0.15293) Boundary_loss: 0.012909 (0.012835) Loss: 0.16319 (0.16576) +2025-08-24,16:51:07 | INFO | Train Epoch: 11 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.13122 (0.15283) Boundary_loss: 0.012761 (0.012835) Loss: 0.14398 (0.16567) +2025-08-24,16:52:05 | INFO | Train Epoch: 11 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.14199 (0.15279) Boundary_loss: 0.012917 (0.012835) Loss: 0.15491 (0.16562) +2025-08-24,16:53:04 | INFO | Train Epoch: 11 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.18704 (0.15293) Boundary_loss: 0.012832 (0.012835) Loss: 0.19987 (0.16577) +2025-08-24,16:54:03 | INFO | Train Epoch: 11 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.11876 (0.15279) Boundary_loss: 0.012812 (0.012835) Loss: 0.13157 (0.16562) +2025-08-24,16:55:01 | INFO | Train Epoch: 11 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.15591 (0.15280) Boundary_loss: 0.012837 (0.012835) Loss: 0.16875 (0.16564) +2025-08-24,16:56:00 | INFO | Train Epoch: 11 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.12928 (0.15270) Boundary_loss: 0.012824 (0.012835) Loss: 0.14211 (0.16554) +2025-08-24,16:56:59 | INFO | Train Epoch: 11 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.11104 (0.15253) Boundary_loss: 0.012848 (0.012835) Loss: 0.12388 (0.16536) +2025-08-24,16:57:57 | INFO | Train Epoch: 11 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.15678 (0.15255) Boundary_loss: 0.012781 (0.012835) Loss: 0.16956 (0.16538) +2025-08-24,16:58:56 | INFO | Train Epoch: 11 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.18497 (0.15268) Boundary_loss: 0.012845 (0.012835) Loss: 0.19782 (0.16552) +2025-08-24,16:59:55 | INFO | Train Epoch: 11 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.13093 (0.15259) Boundary_loss: 0.012718 (0.012834) Loss: 0.14365 (0.16543) +2025-08-24,17:00:54 | INFO | Train Epoch: 11 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.18025 (0.15271) Boundary_loss: 0.012825 (0.012834) Loss: 0.19308 (0.16554) +2025-08-24,17:01:52 | INFO | Train Epoch: 11 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.17499 (0.15280) Boundary_loss: 0.012822 (0.012834) Loss: 0.18781 (0.16563) +2025-08-24,17:02:51 | INFO | Train Epoch: 11 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.10555 (0.15260) Boundary_loss: 0.012746 (0.012834) Loss: 0.11830 (0.16544) +2025-08-24,17:03:50 | INFO | Train Epoch: 11 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.12921 (0.15251) Boundary_loss: 0.012876 (0.012834) Loss: 0.14209 (0.16534) +2025-08-24,17:04:48 | INFO | Train Epoch: 11 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.539 Boundary Ratio: 0.100 Contrastive_loss: 0.13473 (0.15244) Boundary_loss: 0.012936 (0.012834) Loss: 0.14767 (0.16527) +2025-08-24,17:05:47 | INFO | Train Epoch: 11 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.14199 (0.15239) Boundary_loss: 0.012823 (0.012834) Loss: 0.15481 (0.16523) +2025-08-24,17:06:46 | INFO | Train Epoch: 11 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.17016 (0.15247) Boundary_loss: 0.012715 (0.012834) Loss: 0.18288 (0.16530) +2025-08-24,17:07:44 | INFO | Train Epoch: 11 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.14584 (0.15244) Boundary_loss: 0.012885 (0.012834) Loss: 0.15872 (0.16527) +2025-08-24,17:08:43 | INFO | Train Epoch: 11 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.15092 (0.15243) Boundary_loss: 0.012807 (0.012834) Loss: 0.16373 (0.16527) +2025-08-24,17:09:42 | INFO | Train Epoch: 11 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.14989 (0.15242) Boundary_loss: 0.012852 (0.012834) Loss: 0.16275 (0.16526) +2025-08-24,17:10:41 | INFO | Train Epoch: 11 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.535 Boundary Ratio: 0.100 Contrastive_loss: 0.11676 (0.15228) Boundary_loss: 0.012942 (0.012835) Loss: 0.12971 (0.16512) +2025-08-24,17:11:39 | INFO | Train Epoch: 11 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.14324 (0.15225) Boundary_loss: 0.012765 (0.012834) Loss: 0.15600 (0.16508) +2025-08-24,17:12:38 | INFO | Train Epoch: 11 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.15832 (0.15227) Boundary_loss: 0.012810 (0.012834) Loss: 0.17113 (0.16511) +2025-08-24,17:13:37 | INFO | Train Epoch: 11 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.15051 (0.15226) Boundary_loss: 0.012815 (0.012834) Loss: 0.16333 (0.16510) +2025-08-24,17:14:35 | INFO | Train Epoch: 11 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.17158 (0.15234) Boundary_loss: 0.012698 (0.012834) Loss: 0.18427 (0.16517) +2025-08-24,17:15:34 | INFO | Train Epoch: 11 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.17970 (0.15245) Boundary_loss: 0.012777 (0.012833) Loss: 0.19248 (0.16528) +2025-08-24,17:16:33 | INFO | Train Epoch: 11 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.13507 (0.15238) Boundary_loss: 0.012746 (0.012833) Loss: 0.14782 (0.16521) +2025-08-24,17:17:31 | INFO | Train Epoch: 11 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.14983 (0.15237) Boundary_loss: 0.012845 (0.012833) Loss: 0.16267 (0.16520) +2025-08-24,17:18:30 | INFO | Train Epoch: 11 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.16737 (0.15243) Boundary_loss: 0.012845 (0.012833) Loss: 0.18022 (0.16526) +2025-08-24,17:19:29 | INFO | Train Epoch: 11 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.082025 (0.15216) Boundary_loss: 0.012921 (0.012833) Loss: 0.094945 (0.16499) +2025-08-24,17:20:27 | INFO | Train Epoch: 11 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.17270 (0.15224) Boundary_loss: 0.012781 (0.012833) Loss: 0.18548 (0.16507) +2025-08-24,17:21:26 | INFO | Train Epoch: 11 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.13968 (0.15219) Boundary_loss: 0.012904 (0.012833) Loss: 0.15258 (0.16502) +2025-08-24,17:22:25 | INFO | Train Epoch: 11 [13517312/26365952 (51%)] Avg Boundaries (per batch): 18.924 Boundary Ratio: 0.097 Contrastive_loss: 0.12571 (0.15209) Boundary_loss: 0.012883 (0.012834) Loss: 0.13860 (0.16492) +2025-08-24,17:23:23 | INFO | Train Epoch: 11 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.16104 (0.15212) Boundary_loss: 0.012781 (0.012833) Loss: 0.17382 (0.16495) +2025-08-24,17:24:22 | INFO | Train Epoch: 11 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.18504 (0.15224) Boundary_loss: 0.012717 (0.012833) Loss: 0.19776 (0.16508) +2025-08-24,17:25:21 | INFO | Train Epoch: 11 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.14783 (0.15223) Boundary_loss: 0.012798 (0.012833) Loss: 0.16063 (0.16506) +2025-08-24,17:26:19 | INFO | Train Epoch: 11 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.11926 (0.15211) Boundary_loss: 0.012765 (0.012833) Loss: 0.13203 (0.16494) +2025-08-24,17:27:18 | INFO | Train Epoch: 11 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.17224 (0.15218) Boundary_loss: 0.012868 (0.012833) Loss: 0.18511 (0.16501) +2025-08-24,17:28:17 | INFO | Train Epoch: 11 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.16660 (0.15223) Boundary_loss: 0.012742 (0.012832) Loss: 0.17934 (0.16507) +2025-08-24,17:29:15 | INFO | Train Epoch: 11 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.13693 (0.15218) Boundary_loss: 0.012910 (0.012833) Loss: 0.14984 (0.16501) +2025-08-24,17:30:14 | INFO | Train Epoch: 11 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.14602 (0.15215) Boundary_loss: 0.012862 (0.012833) Loss: 0.15888 (0.16499) +2025-08-24,17:31:13 | INFO | Train Epoch: 11 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.21762 (0.15239) Boundary_loss: 0.012833 (0.012833) Loss: 0.23045 (0.16523) +2025-08-24,17:32:11 | INFO | Train Epoch: 11 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.13757 (0.15234) Boundary_loss: 0.012926 (0.012833) Loss: 0.15049 (0.16517) +2025-08-24,17:33:10 | INFO | Train Epoch: 11 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.14938 (0.15233) Boundary_loss: 0.012844 (0.012833) Loss: 0.16223 (0.16516) +2025-08-24,17:34:09 | INFO | Train Epoch: 11 [14131712/26365952 (54%)] Avg Boundaries (per batch): 18.836 Boundary Ratio: 0.096 Contrastive_loss: 0.16125 (0.15236) Boundary_loss: 0.012903 (0.012833) Loss: 0.17415 (0.16519) +2025-08-24,17:35:07 | INFO | Train Epoch: 11 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.16472 (0.15241) Boundary_loss: 0.012893 (0.012834) Loss: 0.17761 (0.16524) +2025-08-24,17:36:06 | INFO | Train Epoch: 11 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.17661 (0.15249) Boundary_loss: 0.012835 (0.012834) Loss: 0.18945 (0.16533) +2025-08-24,17:37:05 | INFO | Train Epoch: 11 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.12313 (0.15239) Boundary_loss: 0.012805 (0.012834) Loss: 0.13593 (0.16522) +2025-08-24,17:38:03 | INFO | Train Epoch: 11 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.15496 (0.15240) Boundary_loss: 0.012755 (0.012833) Loss: 0.16771 (0.16523) +2025-08-24,17:39:02 | INFO | Train Epoch: 11 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.578 Boundary Ratio: 0.100 Contrastive_loss: 0.14403 (0.15237) Boundary_loss: 0.012840 (0.012833) Loss: 0.15687 (0.16520) +2025-08-24,17:40:01 | INFO | Train Epoch: 11 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.13743 (0.15231) Boundary_loss: 0.012828 (0.012833) Loss: 0.15026 (0.16515) +2025-08-24,17:40:59 | INFO | Train Epoch: 11 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.19319 (0.15246) Boundary_loss: 0.012904 (0.012834) Loss: 0.20609 (0.16529) +2025-08-24,17:41:58 | INFO | Train Epoch: 11 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.15516 (0.15247) Boundary_loss: 0.012775 (0.012833) Loss: 0.16793 (0.16530) +2025-08-24,17:42:57 | INFO | Train Epoch: 11 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.14843 (0.15245) Boundary_loss: 0.012777 (0.012833) Loss: 0.16121 (0.16529) +2025-08-24,17:43:55 | INFO | Train Epoch: 11 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.14767 (0.15244) Boundary_loss: 0.012806 (0.012833) Loss: 0.16047 (0.16527) +2025-08-24,17:44:54 | INFO | Train Epoch: 11 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.15845 (0.15246) Boundary_loss: 0.012769 (0.012833) Loss: 0.17121 (0.16529) +2025-08-24,17:45:53 | INFO | Train Epoch: 11 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.19243 (0.15260) Boundary_loss: 0.012855 (0.012833) Loss: 0.20529 (0.16543) +2025-08-24,17:46:51 | INFO | Train Epoch: 11 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.14343 (0.15256) Boundary_loss: 0.012810 (0.012833) Loss: 0.15624 (0.16540) +2025-08-24,17:47:50 | INFO | Train Epoch: 11 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.15813 (0.15258) Boundary_loss: 0.012786 (0.012833) Loss: 0.17092 (0.16542) +2025-08-24,17:48:49 | INFO | Train Epoch: 11 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.18185 (0.15268) Boundary_loss: 0.012835 (0.012833) Loss: 0.19468 (0.16552) +2025-08-24,17:49:47 | INFO | Train Epoch: 11 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.096491 (0.15249) Boundary_loss: 0.012764 (0.012832) Loss: 0.10925 (0.16532) +2025-08-24,17:50:46 | INFO | Train Epoch: 11 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.12357 (0.15239) Boundary_loss: 0.012897 (0.012833) Loss: 0.13647 (0.16523) +2025-08-24,17:51:45 | INFO | Train Epoch: 11 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.12877 (0.15231) Boundary_loss: 0.012779 (0.012832) Loss: 0.14155 (0.16515) +2025-08-24,17:52:43 | INFO | Train Epoch: 11 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.053 Boundary Ratio: 0.097 Contrastive_loss: 0.15139 (0.15231) Boundary_loss: 0.012849 (0.012833) Loss: 0.16424 (0.16514) +2025-08-24,17:53:42 | INFO | Train Epoch: 11 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.15320 (0.15231) Boundary_loss: 0.012782 (0.012832) Loss: 0.16598 (0.16515) +2025-08-24,17:54:41 | INFO | Train Epoch: 11 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.10724 (0.15216) Boundary_loss: 0.012854 (0.012832) Loss: 0.12010 (0.16499) +2025-08-24,17:55:40 | INFO | Train Epoch: 11 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.12988 (0.15209) Boundary_loss: 0.012938 (0.012833) Loss: 0.14282 (0.16492) +2025-08-24,17:56:38 | INFO | Train Epoch: 11 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 0.16104 (0.15212) Boundary_loss: 0.012888 (0.012833) Loss: 0.17393 (0.16495) +2025-08-24,17:57:37 | INFO | Train Epoch: 11 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.12208 (0.15202) Boundary_loss: 0.012853 (0.012833) Loss: 0.13493 (0.16485) +2025-08-24,17:58:36 | INFO | Train Epoch: 11 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.15123 (0.15202) Boundary_loss: 0.012835 (0.012833) Loss: 0.16406 (0.16485) +2025-08-24,17:59:34 | INFO | Train Epoch: 11 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.14043 (0.15198) Boundary_loss: 0.012839 (0.012833) Loss: 0.15326 (0.16481) +2025-08-24,18:00:33 | INFO | Train Epoch: 11 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.14957 (0.15197) Boundary_loss: 0.012814 (0.012833) Loss: 0.16238 (0.16480) +2025-08-24,18:01:32 | INFO | Train Epoch: 11 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.12743 (0.15189) Boundary_loss: 0.012680 (0.012833) Loss: 0.14011 (0.16472) +2025-08-24,18:02:30 | INFO | Train Epoch: 11 [15616512/26365952 (59%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.12828 (0.15181) Boundary_loss: 0.012808 (0.012832) Loss: 0.14109 (0.16464) +2025-08-24,18:03:29 | INFO | Train Epoch: 11 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.12863 (0.15174) Boundary_loss: 0.012787 (0.012832) Loss: 0.14142 (0.16457) +2025-08-24,18:04:28 | INFO | Train Epoch: 11 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.12813 (0.15166) Boundary_loss: 0.012828 (0.012832) Loss: 0.14096 (0.16449) +2025-08-24,18:05:26 | INFO | Train Epoch: 11 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.11579 (0.15154) Boundary_loss: 0.012839 (0.012832) Loss: 0.12862 (0.16438) +2025-08-24,18:06:25 | INFO | Train Epoch: 11 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.071407 (0.15128) Boundary_loss: 0.012791 (0.012832) Loss: 0.084198 (0.16412) +2025-08-24,18:07:24 | INFO | Train Epoch: 11 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.14642 (0.15127) Boundary_loss: 0.012771 (0.012832) Loss: 0.15919 (0.16410) +2025-08-24,18:08:22 | INFO | Train Epoch: 11 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.17860 (0.15136) Boundary_loss: 0.012806 (0.012832) Loss: 0.19140 (0.16419) +2025-08-24,18:09:21 | INFO | Train Epoch: 11 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.11102 (0.15123) Boundary_loss: 0.012786 (0.012832) Loss: 0.12381 (0.16406) +2025-08-24,18:10:20 | INFO | Train Epoch: 11 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.16251 (0.15126) Boundary_loss: 0.012740 (0.012831) Loss: 0.17525 (0.16409) +2025-08-24,18:11:18 | INFO | Train Epoch: 11 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.13229 (0.15120) Boundary_loss: 0.012819 (0.012831) Loss: 0.14511 (0.16403) +2025-08-24,18:12:17 | INFO | Train Epoch: 11 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.15992 (0.15123) Boundary_loss: 0.012817 (0.012831) Loss: 0.17274 (0.16406) +2025-08-24,18:13:16 | INFO | Train Epoch: 11 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.15329 (0.15124) Boundary_loss: 0.012776 (0.012831) Loss: 0.16607 (0.16407) +2025-08-24,18:14:14 | INFO | Train Epoch: 11 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.097728 (0.15107) Boundary_loss: 0.012911 (0.012831) Loss: 0.11064 (0.16390) +2025-08-24,18:15:13 | INFO | Train Epoch: 11 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.19526 (0.15121) Boundary_loss: 0.012922 (0.012832) Loss: 0.20818 (0.16404) +2025-08-24,18:16:12 | INFO | Train Epoch: 11 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.18297 (0.15131) Boundary_loss: 0.012866 (0.012832) Loss: 0.19584 (0.16414) +2025-08-24,18:17:10 | INFO | Train Epoch: 11 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.12059 (0.15121) Boundary_loss: 0.012795 (0.012832) Loss: 0.13339 (0.16404) +2025-08-24,18:18:09 | INFO | Train Epoch: 11 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.14149 (0.15118) Boundary_loss: 0.012819 (0.012832) Loss: 0.15431 (0.16401) +2025-08-24,18:19:08 | INFO | Train Epoch: 11 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.17453 (0.15125) Boundary_loss: 0.012829 (0.012832) Loss: 0.18736 (0.16408) +2025-08-24,18:20:07 | INFO | Train Epoch: 11 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.16413 (0.15129) Boundary_loss: 0.012725 (0.012831) Loss: 0.17686 (0.16412) +2025-08-24,18:21:05 | INFO | Train Epoch: 11 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.12221 (0.15120) Boundary_loss: 0.012741 (0.012831) Loss: 0.13495 (0.16403) +2025-08-24,18:22:04 | INFO | Train Epoch: 11 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.13242 (0.15115) Boundary_loss: 0.012797 (0.012831) Loss: 0.14522 (0.16398) +2025-08-24,18:23:03 | INFO | Train Epoch: 11 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.12233 (0.15106) Boundary_loss: 0.012831 (0.012831) Loss: 0.13516 (0.16389) +2025-08-24,18:24:01 | INFO | Train Epoch: 11 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.096614 (0.15089) Boundary_loss: 0.012695 (0.012831) Loss: 0.10931 (0.16372) +2025-08-24,18:25:00 | INFO | Train Epoch: 11 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.11967 (0.15080) Boundary_loss: 0.012773 (0.012830) Loss: 0.13245 (0.16363) +2025-08-24,18:25:59 | INFO | Train Epoch: 11 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.16516 (0.15084) Boundary_loss: 0.012914 (0.012831) Loss: 0.17807 (0.16367) +2025-08-24,18:26:57 | INFO | Train Epoch: 11 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.12641 (0.15077) Boundary_loss: 0.012820 (0.012831) Loss: 0.13923 (0.16360) +2025-08-24,18:27:56 | INFO | Train Epoch: 11 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.097934 (0.15061) Boundary_loss: 0.012779 (0.012830) Loss: 0.11071 (0.16344) +2025-08-24,18:28:55 | INFO | Train Epoch: 11 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.16393 (0.15065) Boundary_loss: 0.012827 (0.012830) Loss: 0.17675 (0.16348) +2025-08-24,18:29:53 | INFO | Train Epoch: 11 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.17809 (0.15073) Boundary_loss: 0.012875 (0.012831) Loss: 0.19097 (0.16356) +2025-08-24,18:30:52 | INFO | Train Epoch: 11 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.13350 (0.15068) Boundary_loss: 0.012867 (0.012831) Loss: 0.14636 (0.16351) +2025-08-24,18:31:51 | INFO | Train Epoch: 11 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.12458 (0.15060) Boundary_loss: 0.012787 (0.012831) Loss: 0.13737 (0.16343) +2025-08-24,18:32:49 | INFO | Train Epoch: 11 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.15660 (0.15062) Boundary_loss: 0.012821 (0.012830) Loss: 0.16942 (0.16345) +2025-08-24,18:33:48 | INFO | Train Epoch: 11 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.14837 (0.15061) Boundary_loss: 0.012837 (0.012831) Loss: 0.16120 (0.16344) +2025-08-24,18:34:47 | INFO | Train Epoch: 11 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.19458 (0.15074) Boundary_loss: 0.012900 (0.012831) Loss: 0.20748 (0.16357) +2025-08-24,18:35:45 | INFO | Train Epoch: 11 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.15173 (0.15074) Boundary_loss: 0.012845 (0.012831) Loss: 0.16457 (0.16358) +2025-08-24,18:36:44 | INFO | Train Epoch: 11 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.13563 (0.15070) Boundary_loss: 0.012845 (0.012831) Loss: 0.14848 (0.16353) +2025-08-24,18:37:43 | INFO | Train Epoch: 11 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.15672 (0.15072) Boundary_loss: 0.012824 (0.012831) Loss: 0.16954 (0.16355) +2025-08-24,18:38:41 | INFO | Train Epoch: 11 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.15339 (0.15073) Boundary_loss: 0.012802 (0.012831) Loss: 0.16620 (0.16356) +2025-08-24,18:39:40 | INFO | Train Epoch: 11 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.11140 (0.15061) Boundary_loss: 0.012813 (0.012831) Loss: 0.12421 (0.16344) +2025-08-24,18:40:39 | INFO | Train Epoch: 11 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.12668 (0.15054) Boundary_loss: 0.012874 (0.012831) Loss: 0.13956 (0.16337) +2025-08-24,18:41:37 | INFO | Train Epoch: 11 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.18192 (0.15063) Boundary_loss: 0.012893 (0.012831) Loss: 0.19482 (0.16346) +2025-08-24,18:42:36 | INFO | Train Epoch: 11 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.17203 (0.15069) Boundary_loss: 0.012828 (0.012831) Loss: 0.18486 (0.16353) +2025-08-24,18:43:35 | INFO | Train Epoch: 11 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.15567 (0.15071) Boundary_loss: 0.012762 (0.012831) Loss: 0.16843 (0.16354) +2025-08-24,18:44:33 | INFO | Train Epoch: 11 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.14903 (0.15070) Boundary_loss: 0.012890 (0.012831) Loss: 0.16192 (0.16353) +2025-08-24,18:45:32 | INFO | Train Epoch: 11 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.11709 (0.15061) Boundary_loss: 0.012845 (0.012831) Loss: 0.12993 (0.16344) +2025-08-24,18:46:31 | INFO | Train Epoch: 11 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.16947 (0.15066) Boundary_loss: 0.012866 (0.012831) Loss: 0.18234 (0.16349) +2025-08-24,18:47:29 | INFO | Train Epoch: 11 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.14999 (0.15066) Boundary_loss: 0.012942 (0.012831) Loss: 0.16294 (0.16349) +2025-08-24,18:48:28 | INFO | Train Epoch: 11 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.16121 (0.15069) Boundary_loss: 0.012849 (0.012831) Loss: 0.17406 (0.16352) +2025-08-24,18:49:27 | INFO | Train Epoch: 11 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.15612 (0.15070) Boundary_loss: 0.012806 (0.012831) Loss: 0.16893 (0.16354) +2025-08-24,18:50:26 | INFO | Train Epoch: 11 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.500 Boundary Ratio: 0.099 Contrastive_loss: 0.12569 (0.15063) Boundary_loss: 0.012860 (0.012831) Loss: 0.13855 (0.16347) +2025-08-24,18:51:24 | INFO | Train Epoch: 11 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.20764 (0.15079) Boundary_loss: 0.012806 (0.012831) Loss: 0.22045 (0.16363) +2025-08-24,18:52:23 | INFO | Train Epoch: 11 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.16538 (0.15084) Boundary_loss: 0.012774 (0.012831) Loss: 0.17816 (0.16367) +2025-08-24,18:53:21 | INFO | Train Epoch: 11 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.15148 (0.15084) Boundary_loss: 0.012889 (0.012831) Loss: 0.16437 (0.16367) +2025-08-24,18:54:20 | INFO | Train Epoch: 11 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.14507 (0.15082) Boundary_loss: 0.012755 (0.012831) Loss: 0.15783 (0.16365) +2025-08-24,18:55:19 | INFO | Train Epoch: 11 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.20180 (0.15096) Boundary_loss: 0.012791 (0.012831) Loss: 0.21459 (0.16379) +2025-08-24,18:56:17 | INFO | Train Epoch: 11 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.097701 (0.15081) Boundary_loss: 0.012782 (0.012831) Loss: 0.11048 (0.16365) +2025-08-24,18:57:16 | INFO | Train Epoch: 11 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.14587 (0.15080) Boundary_loss: 0.012693 (0.012831) Loss: 0.15856 (0.16363) +2025-08-24,18:58:15 | INFO | Train Epoch: 11 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.13843 (0.15077) Boundary_loss: 0.012824 (0.012830) Loss: 0.15125 (0.16360) +2025-08-24,18:59:14 | INFO | Train Epoch: 11 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.14660 (0.15076) Boundary_loss: 0.012858 (0.012831) Loss: 0.15945 (0.16359) +2025-08-24,19:00:12 | INFO | Train Epoch: 11 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.17088 (0.15081) Boundary_loss: 0.012782 (0.012830) Loss: 0.18366 (0.16364) +2025-08-24,19:01:11 | INFO | Train Epoch: 11 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 0.13650 (0.15077) Boundary_loss: 0.012870 (0.012831) Loss: 0.14937 (0.16360) +2025-08-24,19:02:10 | INFO | Train Epoch: 11 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.13133 (0.15072) Boundary_loss: 0.012875 (0.012831) Loss: 0.14421 (0.16355) +2025-08-24,19:03:08 | INFO | Train Epoch: 11 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.13895 (0.15069) Boundary_loss: 0.012734 (0.012830) Loss: 0.15169 (0.16352) +2025-08-24,19:04:07 | INFO | Train Epoch: 11 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.16655 (0.15073) Boundary_loss: 0.012834 (0.012830) Loss: 0.17938 (0.16356) +2025-08-24,19:05:06 | INFO | Train Epoch: 11 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.598 Boundary Ratio: 0.100 Contrastive_loss: 0.15766 (0.15075) Boundary_loss: 0.012930 (0.012831) Loss: 0.17059 (0.16358) +2025-08-24,19:06:04 | INFO | Train Epoch: 11 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.14601 (0.15074) Boundary_loss: 0.012744 (0.012830) Loss: 0.15875 (0.16357) +2025-08-24,19:07:03 | INFO | Train Epoch: 11 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.10903 (0.15062) Boundary_loss: 0.012797 (0.012830) Loss: 0.12183 (0.16345) +2025-08-24,19:08:02 | INFO | Train Epoch: 11 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.13106 (0.15057) Boundary_loss: 0.012846 (0.012830) Loss: 0.14390 (0.16340) +2025-08-24,19:09:00 | INFO | Train Epoch: 11 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.14012 (0.15054) Boundary_loss: 0.012881 (0.012831) Loss: 0.15300 (0.16337) +2025-08-24,19:09:59 | INFO | Train Epoch: 11 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.11547 (0.15045) Boundary_loss: 0.012735 (0.012830) Loss: 0.12821 (0.16328) +2025-08-24,19:10:58 | INFO | Train Epoch: 11 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.14496 (0.15044) Boundary_loss: 0.012776 (0.012830) Loss: 0.15773 (0.16327) +2025-08-24,19:11:56 | INFO | Train Epoch: 11 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.029 Boundary Ratio: 0.097 Contrastive_loss: 0.18875 (0.15054) Boundary_loss: 0.012807 (0.012830) Loss: 0.20155 (0.16337) +2025-08-24,19:12:55 | INFO | Train Epoch: 11 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.13702 (0.15050) Boundary_loss: 0.012821 (0.012830) Loss: 0.14984 (0.16333) +2025-08-24,19:13:54 | INFO | Train Epoch: 11 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.15936 (0.15052) Boundary_loss: 0.012783 (0.012830) Loss: 0.17214 (0.16335) +2025-08-24,19:14:53 | INFO | Train Epoch: 11 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.15648 (0.15054) Boundary_loss: 0.012828 (0.012830) Loss: 0.16930 (0.16337) +2025-08-24,19:15:51 | INFO | Train Epoch: 11 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.15162 (0.15054) Boundary_loss: 0.012860 (0.012830) Loss: 0.16448 (0.16337) +2025-08-24,19:16:50 | INFO | Train Epoch: 11 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.14901 (0.15054) Boundary_loss: 0.012830 (0.012830) Loss: 0.16184 (0.16337) +2025-08-24,19:17:49 | INFO | Train Epoch: 11 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.14397 (0.15052) Boundary_loss: 0.012824 (0.012830) Loss: 0.15679 (0.16335) +2025-08-24,19:18:47 | INFO | Train Epoch: 11 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.097524 (0.15038) Boundary_loss: 0.012857 (0.012830) Loss: 0.11038 (0.16321) +2025-08-24,19:19:46 | INFO | Train Epoch: 11 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.11126 (0.15028) Boundary_loss: 0.012756 (0.012830) Loss: 0.12401 (0.16311) +2025-08-24,19:20:45 | INFO | Train Epoch: 11 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.16744 (0.15033) Boundary_loss: 0.012785 (0.012830) Loss: 0.18022 (0.16316) +2025-08-24,19:21:43 | INFO | Train Epoch: 11 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.15410 (0.15034) Boundary_loss: 0.012788 (0.012830) Loss: 0.16689 (0.16317) +2025-08-24,19:22:42 | INFO | Train Epoch: 11 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.492 Boundary Ratio: 0.099 Contrastive_loss: 0.11634 (0.15025) Boundary_loss: 0.012787 (0.012830) Loss: 0.12913 (0.16308) +2025-08-24,19:23:41 | INFO | Train Epoch: 11 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.12534 (0.15018) Boundary_loss: 0.012869 (0.012830) Loss: 0.13821 (0.16301) +2025-08-24,19:24:39 | INFO | Train Epoch: 11 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.14037 (0.15016) Boundary_loss: 0.012823 (0.012830) Loss: 0.15320 (0.16299) +2025-08-24,19:25:38 | INFO | Train Epoch: 11 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.11846 (0.15008) Boundary_loss: 0.012932 (0.012830) Loss: 0.13139 (0.16291) +2025-08-24,19:26:37 | INFO | Train Epoch: 11 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.18632 (0.15017) Boundary_loss: 0.012802 (0.012830) Loss: 0.19912 (0.16300) +2025-08-24,19:27:35 | INFO | Train Epoch: 11 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.14345 (0.15015) Boundary_loss: 0.012665 (0.012829) Loss: 0.15612 (0.16298) +2025-08-24,19:28:34 | INFO | Train Epoch: 11 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.20116 (0.15028) Boundary_loss: 0.012803 (0.012829) Loss: 0.21396 (0.16311) +2025-08-24,19:29:32 | INFO | Train Epoch: 11 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.17057 (0.15033) Boundary_loss: 0.012667 (0.012829) Loss: 0.18324 (0.16316) +2025-08-24,19:30:31 | INFO | Train Epoch: 11 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.18102 (0.15041) Boundary_loss: 0.012884 (0.012829) Loss: 0.19390 (0.16324) +2025-08-24,19:31:30 | INFO | Train Epoch: 11 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.12786 (0.15036) Boundary_loss: 0.012843 (0.012829) Loss: 0.14070 (0.16318) +2025-08-24,19:32:28 | INFO | Train Epoch: 11 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.13719 (0.15032) Boundary_loss: 0.012874 (0.012829) Loss: 0.15006 (0.16315) +2025-08-24,19:33:27 | INFO | Train Epoch: 11 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.18716 (0.15041) Boundary_loss: 0.012821 (0.012829) Loss: 0.19998 (0.16324) +2025-08-24,19:34:25 | INFO | Train Epoch: 11 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.13992 (0.15039) Boundary_loss: 0.012692 (0.012829) Loss: 0.15261 (0.16322) +2025-08-24,19:35:24 | INFO | Train Epoch: 11 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.15811 (0.15041) Boundary_loss: 0.012881 (0.012829) Loss: 0.17099 (0.16324) +2025-08-24,19:36:23 | INFO | Train Epoch: 11 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.11871 (0.15033) Boundary_loss: 0.012764 (0.012829) Loss: 0.13148 (0.16316) +2025-08-24,19:37:21 | INFO | Train Epoch: 11 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.18009 (0.15040) Boundary_loss: 0.012846 (0.012829) Loss: 0.19293 (0.16323) +2025-08-24,19:38:20 | INFO | Train Epoch: 11 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.18079 (0.15048) Boundary_loss: 0.012748 (0.012829) Loss: 0.19353 (0.16331) +2025-08-24,19:39:19 | INFO | Train Epoch: 11 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.16858 (0.15052) Boundary_loss: 0.012824 (0.012829) Loss: 0.18140 (0.16335) +2025-08-24,19:40:17 | INFO | Train Epoch: 11 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.14898 (0.15052) Boundary_loss: 0.012806 (0.012829) Loss: 0.16179 (0.16335) +2025-08-24,19:41:16 | INFO | Train Epoch: 11 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.594 Boundary Ratio: 0.100 Contrastive_loss: 0.15767 (0.15054) Boundary_loss: 0.012766 (0.012828) Loss: 0.17043 (0.16336) +2025-08-24,19:42:15 | INFO | Train Epoch: 11 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.13624 (0.15050) Boundary_loss: 0.012812 (0.012828) Loss: 0.14905 (0.16333) +2025-08-24,19:43:13 | INFO | Train Epoch: 11 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.12972 (0.15045) Boundary_loss: 0.012753 (0.012828) Loss: 0.14247 (0.16328) +2025-08-24,19:44:12 | INFO | Train Epoch: 11 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.14906 (0.15045) Boundary_loss: 0.012861 (0.012828) Loss: 0.16193 (0.16328) +2025-08-24,19:45:11 | INFO | Train Epoch: 11 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.14102 (0.15042) Boundary_loss: 0.012821 (0.012828) Loss: 0.15384 (0.16325) +2025-08-24,19:46:09 | INFO | Train Epoch: 11 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.11895 (0.15035) Boundary_loss: 0.012718 (0.012828) Loss: 0.13166 (0.16318) +2025-08-24,19:47:08 | INFO | Train Epoch: 11 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.13996 (0.15032) Boundary_loss: 0.012945 (0.012828) Loss: 0.15291 (0.16315) +2025-08-24,19:48:07 | INFO | Train Epoch: 11 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.15847 (0.15034) Boundary_loss: 0.012776 (0.012828) Loss: 0.17124 (0.16317) +2025-08-24,19:49:05 | INFO | Train Epoch: 11 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.15492 (0.15035) Boundary_loss: 0.012837 (0.012828) Loss: 0.16776 (0.16318) +2025-08-24,19:50:04 | INFO | Train Epoch: 11 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.19307 (0.15046) Boundary_loss: 0.012825 (0.012828) Loss: 0.20589 (0.16328) +2025-08-24,19:51:03 | INFO | Train Epoch: 11 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.11752 (0.15038) Boundary_loss: 0.012745 (0.012828) Loss: 0.13027 (0.16320) +2025-08-24,19:52:01 | INFO | Train Epoch: 11 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.15257 (0.15038) Boundary_loss: 0.012881 (0.012828) Loss: 0.16545 (0.16321) +2025-08-24,19:53:00 | INFO | Train Epoch: 11 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.15067 (0.15038) Boundary_loss: 0.012793 (0.012828) Loss: 0.16346 (0.16321) +2025-08-24,19:53:59 | INFO | Train Epoch: 11 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.13251 (0.15034) Boundary_loss: 0.012750 (0.012828) Loss: 0.14526 (0.16317) +2025-08-24,19:54:57 | INFO | Train Epoch: 11 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.10886 (0.15024) Boundary_loss: 0.012824 (0.012828) Loss: 0.12168 (0.16307) +2025-08-24,19:55:56 | INFO | Train Epoch: 11 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.16581 (0.15028) Boundary_loss: 0.012854 (0.012828) Loss: 0.17866 (0.16311) +2025-08-24,19:56:54 | INFO | Train Epoch: 11 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.16122 (0.15030) Boundary_loss: 0.012812 (0.012828) Loss: 0.17404 (0.16313) +2025-08-24,19:57:53 | INFO | Train Epoch: 11 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.19267 (0.15040) Boundary_loss: 0.012865 (0.012828) Loss: 0.20554 (0.16323) +2025-08-24,19:58:52 | INFO | Train Epoch: 11 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.10611 (0.15030) Boundary_loss: 0.012815 (0.012828) Loss: 0.11893 (0.16313) +2025-08-24,19:59:50 | INFO | Train Epoch: 11 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.17969 (0.15037) Boundary_loss: 0.012709 (0.012828) Loss: 0.19240 (0.16320) +2025-08-24,20:00:49 | INFO | Train Epoch: 11 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.17408 (0.15042) Boundary_loss: 0.012765 (0.012827) Loss: 0.18684 (0.16325) +2025-08-24,20:01:48 | INFO | Train Epoch: 11 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.18267 (0.15050) Boundary_loss: 0.012812 (0.012827) Loss: 0.19548 (0.16333) +2025-08-24,20:02:46 | INFO | Train Epoch: 11 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.15701 (0.15052) Boundary_loss: 0.012852 (0.012827) Loss: 0.16987 (0.16334) +2025-08-24,20:03:45 | INFO | Train Epoch: 11 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.17017 (0.15056) Boundary_loss: 0.012834 (0.012827) Loss: 0.18300 (0.16339) +2025-08-24,20:04:44 | INFO | Train Epoch: 11 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.11450 (0.15048) Boundary_loss: 0.012847 (0.012828) Loss: 0.12735 (0.16330) +2025-08-24,20:05:42 | INFO | Train Epoch: 11 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.11555 (0.15040) Boundary_loss: 0.012741 (0.012827) Loss: 0.12829 (0.16322) +2025-08-24,20:06:41 | INFO | Train Epoch: 11 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.11711 (0.15032) Boundary_loss: 0.012733 (0.012827) Loss: 0.12984 (0.16315) +2025-08-24,20:07:40 | INFO | Train Epoch: 11 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.16254 (0.15035) Boundary_loss: 0.012734 (0.012827) Loss: 0.17527 (0.16317) +2025-08-24,20:08:38 | INFO | Train Epoch: 11 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.025 Boundary Ratio: 0.097 Contrastive_loss: 0.18741 (0.15043) Boundary_loss: 0.012847 (0.012827) Loss: 0.20025 (0.16326) +2025-08-24,20:09:37 | INFO | Train Epoch: 11 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.15386 (0.15044) Boundary_loss: 0.012847 (0.012827) Loss: 0.16671 (0.16327) +2025-08-24,20:10:35 | INFO | Train Epoch: 11 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.13488 (0.15041) Boundary_loss: 0.012829 (0.012827) Loss: 0.14771 (0.16323) +2025-08-24,20:11:34 | INFO | Train Epoch: 11 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.13723 (0.15037) Boundary_loss: 0.012821 (0.012827) Loss: 0.15005 (0.16320) +2025-08-24,20:12:33 | INFO | Train Epoch: 11 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.13397 (0.15034) Boundary_loss: 0.012806 (0.012827) Loss: 0.14677 (0.16316) +2025-08-24,20:13:31 | INFO | Train Epoch: 11 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.16188 (0.15036) Boundary_loss: 0.012878 (0.012827) Loss: 0.17476 (0.16319) +2025-08-24,20:14:30 | INFO | Train Epoch: 11 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.16353 (0.15039) Boundary_loss: 0.012871 (0.012827) Loss: 0.17640 (0.16322) +2025-08-24,20:15:29 | INFO | Train Epoch: 11 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.13572 (0.15036) Boundary_loss: 0.012820 (0.012827) Loss: 0.14854 (0.16319) +2025-08-24,20:16:27 | INFO | Train Epoch: 11 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.14656 (0.15035) Boundary_loss: 0.012884 (0.012827) Loss: 0.15944 (0.16318) +2025-08-24,20:17:26 | INFO | Train Epoch: 11 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.13135 (0.15031) Boundary_loss: 0.012782 (0.012827) Loss: 0.14413 (0.16314) +2025-08-24,20:18:25 | INFO | Train Epoch: 11 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.13863 (0.15028) Boundary_loss: 0.012817 (0.012827) Loss: 0.15145 (0.16311) +2025-08-24,20:19:23 | INFO | Train Epoch: 11 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.17945 (0.15035) Boundary_loss: 0.012855 (0.012827) Loss: 0.19230 (0.16318) +2025-08-24,20:20:22 | INFO | Train Epoch: 11 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.14922 (0.15035) Boundary_loss: 0.012898 (0.012827) Loss: 0.16212 (0.16317) +2025-08-24,20:21:21 | INFO | Train Epoch: 11 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.14598 (0.15034) Boundary_loss: 0.012849 (0.012827) Loss: 0.15883 (0.16316) +2025-08-24,20:22:19 | INFO | Train Epoch: 11 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.13262 (0.15030) Boundary_loss: 0.012857 (0.012827) Loss: 0.14548 (0.16312) +2025-08-24,20:23:18 | INFO | Train Epoch: 11 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.12879 (0.15025) Boundary_loss: 0.012800 (0.012827) Loss: 0.14159 (0.16308) +2025-08-24,20:24:17 | INFO | Train Epoch: 11 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.15274 (0.15025) Boundary_loss: 0.012792 (0.012827) Loss: 0.16553 (0.16308) +2025-08-24,20:25:15 | INFO | Train Epoch: 11 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.16439 (0.15029) Boundary_loss: 0.012687 (0.012827) Loss: 0.17707 (0.16311) +2025-08-24,20:26:14 | INFO | Train Epoch: 11 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.17466 (0.15034) Boundary_loss: 0.012882 (0.012827) Loss: 0.18755 (0.16317) +2025-08-24,20:27:13 | INFO | Train Epoch: 11 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.002 Boundary Ratio: 0.097 Contrastive_loss: 0.17653 (0.15040) Boundary_loss: 0.012841 (0.012827) Loss: 0.18937 (0.16322) +2025-08-24,20:28:11 | INFO | Train Epoch: 11 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.14101 (0.15038) Boundary_loss: 0.012746 (0.012827) Loss: 0.15375 (0.16320) +2025-08-24,20:29:10 | INFO | Train Epoch: 11 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.16576 (0.15041) Boundary_loss: 0.012803 (0.012827) Loss: 0.17856 (0.16324) +2025-08-24,20:30:09 | INFO | Train Epoch: 11 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.13219 (0.15037) Boundary_loss: 0.012833 (0.012827) Loss: 0.14502 (0.16320) +2025-08-24,20:31:07 | INFO | Train Epoch: 11 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.16655 (0.15041) Boundary_loss: 0.012854 (0.012827) Loss: 0.17941 (0.16323) +2025-08-24,20:32:06 | INFO | Train Epoch: 11 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.11051 (0.15032) Boundary_loss: 0.012956 (0.012827) Loss: 0.12347 (0.16315) +2025-08-24,20:33:05 | INFO | Train Epoch: 11 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.15052 (0.15032) Boundary_loss: 0.012819 (0.012827) Loss: 0.16334 (0.16315) +2025-08-24,20:34:03 | INFO | Train Epoch: 11 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.14108 (0.15030) Boundary_loss: 0.012727 (0.012827) Loss: 0.15380 (0.16313) +2025-08-24,20:35:02 | INFO | Train Epoch: 11 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.15296 (0.15030) Boundary_loss: 0.012874 (0.012827) Loss: 0.16583 (0.16313) +2025-08-24,20:36:01 | INFO | Train Epoch: 11 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.15867 (0.15032) Boundary_loss: 0.012853 (0.012827) Loss: 0.17152 (0.16315) +2025-08-24,20:37:00 | INFO | Train Epoch: 11 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.15861 (0.15034) Boundary_loss: 0.012814 (0.012827) Loss: 0.17142 (0.16317) +2025-08-24,20:37:58 | INFO | Train Epoch: 11 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.18604 (0.15042) Boundary_loss: 0.012839 (0.012827) Loss: 0.19888 (0.16324) +2025-08-24,20:38:57 | INFO | Train Epoch: 11 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.12067 (0.15035) Boundary_loss: 0.012787 (0.012827) Loss: 0.13345 (0.16318) +2025-08-24,20:39:55 | INFO | Train Epoch: 11 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.088192 (0.15022) Boundary_loss: 0.012778 (0.012827) Loss: 0.10097 (0.16305) +2025-08-24,20:40:54 | INFO | Train Epoch: 11 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.13270 (0.15018) Boundary_loss: 0.012845 (0.012827) Loss: 0.14555 (0.16301) +2025-08-24,20:41:52 | INFO | Train Epoch: 11 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.16581 (0.15022) Boundary_loss: 0.012886 (0.012827) Loss: 0.17869 (0.16304) +2025-08-24,20:42:51 | INFO | Train Epoch: 11 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.16054 (0.15024) Boundary_loss: 0.012743 (0.012827) Loss: 0.17328 (0.16307) +2025-08-24,20:43:50 | INFO | Train Epoch: 11 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.17242 (0.15029) Boundary_loss: 0.012842 (0.012827) Loss: 0.18526 (0.16311) +2025-08-24,20:44:48 | INFO | Train Epoch: 11 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.11808 (0.15022) Boundary_loss: 0.012794 (0.012827) Loss: 0.13087 (0.16304) +2025-08-24,20:45:47 | INFO | Train Epoch: 11 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.14414 (0.15020) Boundary_loss: 0.012822 (0.012827) Loss: 0.15696 (0.16303) +2025-08-24,20:46:46 | INFO | Train Epoch: 11 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.16012 (0.15023) Boundary_loss: 0.012759 (0.012827) Loss: 0.17288 (0.16305) +2025-08-24,20:47:44 | INFO | Train Epoch: 11 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.092430 (0.15010) Boundary_loss: 0.012848 (0.012827) Loss: 0.10528 (0.16293) +2025-08-24,20:48:43 | INFO | Train Epoch: 11 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.19913 (0.15021) Boundary_loss: 0.012817 (0.012827) Loss: 0.21194 (0.16303) +2025-08-24,20:49:42 | INFO | Train Epoch: 11 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.11956 (0.15014) Boundary_loss: 0.012838 (0.012827) Loss: 0.13239 (0.16297) +2025-08-24,20:50:40 | INFO | Train Epoch: 11 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.15149 (0.15015) Boundary_loss: 0.012881 (0.012827) Loss: 0.16438 (0.16297) +2025-08-24,20:51:39 | INFO | Train Epoch: 11 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.441 Boundary Ratio: 0.099 Contrastive_loss: 0.14747 (0.15014) Boundary_loss: 0.012782 (0.012827) Loss: 0.16026 (0.16297) +2025-08-24,20:52:38 | INFO | Train Epoch: 11 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.12209 (0.15008) Boundary_loss: 0.012808 (0.012827) Loss: 0.13490 (0.16291) +2025-08-24,20:53:36 | INFO | Train Epoch: 11 [24576512/26365952 (93%)] Avg Boundaries (per batch): 18.961 Boundary Ratio: 0.097 Contrastive_loss: 0.15638 (0.15009) Boundary_loss: 0.012727 (0.012827) Loss: 0.16910 (0.16292) +2025-08-24,20:54:35 | INFO | Train Epoch: 11 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.17106 (0.15014) Boundary_loss: 0.012721 (0.012826) Loss: 0.18378 (0.16296) +2025-08-24,20:55:34 | INFO | Train Epoch: 11 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.13419 (0.15010) Boundary_loss: 0.012722 (0.012826) Loss: 0.14691 (0.16293) +2025-08-24,20:56:32 | INFO | Train Epoch: 11 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.15029 (0.15011) Boundary_loss: 0.012832 (0.012826) Loss: 0.16312 (0.16293) +2025-08-24,20:57:31 | INFO | Train Epoch: 11 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.012 Boundary Ratio: 0.097 Contrastive_loss: 0.10987 (0.15002) Boundary_loss: 0.012900 (0.012826) Loss: 0.12277 (0.16285) +2025-08-24,20:58:29 | INFO | Train Epoch: 11 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.17387 (0.15007) Boundary_loss: 0.012753 (0.012826) Loss: 0.18663 (0.16290) +2025-08-24,20:59:28 | INFO | Train Epoch: 11 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.15390 (0.15008) Boundary_loss: 0.012843 (0.012826) Loss: 0.16674 (0.16291) +2025-08-24,21:00:27 | INFO | Train Epoch: 11 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.14511 (0.15007) Boundary_loss: 0.012857 (0.012826) Loss: 0.15797 (0.16290) +2025-08-24,21:01:25 | INFO | Train Epoch: 11 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.17820 (0.15013) Boundary_loss: 0.012906 (0.012826) Loss: 0.19110 (0.16295) +2025-08-24,21:02:24 | INFO | Train Epoch: 11 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.14049 (0.15011) Boundary_loss: 0.012943 (0.012827) Loss: 0.15343 (0.16293) +2025-08-24,21:03:22 | INFO | Train Epoch: 11 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.15570 (0.15012) Boundary_loss: 0.012839 (0.012827) Loss: 0.16854 (0.16294) +2025-08-24,21:04:21 | INFO | Train Epoch: 11 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.14799 (0.15011) Boundary_loss: 0.012840 (0.012827) Loss: 0.16083 (0.16294) +2025-08-24,21:05:20 | INFO | Train Epoch: 11 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.12917 (0.15007) Boundary_loss: 0.012859 (0.012827) Loss: 0.14203 (0.16290) +2025-08-24,21:06:18 | INFO | Train Epoch: 11 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.18091 (0.15013) Boundary_loss: 0.012777 (0.012827) Loss: 0.19369 (0.16296) +2025-08-24,21:07:17 | INFO | Train Epoch: 11 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.17272 (0.15018) Boundary_loss: 0.012967 (0.012827) Loss: 0.18569 (0.16301) +2025-08-24,21:08:16 | INFO | Train Epoch: 11 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.17269 (0.15022) Boundary_loss: 0.012873 (0.012827) Loss: 0.18556 (0.16305) +2025-08-24,21:09:14 | INFO | Train Epoch: 11 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.15309 (0.15023) Boundary_loss: 0.012854 (0.012827) Loss: 0.16594 (0.16306) +2025-08-24,21:10:13 | INFO | Train Epoch: 11 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.541 Boundary Ratio: 0.100 Contrastive_loss: 0.13015 (0.15019) Boundary_loss: 0.012806 (0.012827) Loss: 0.14295 (0.16302) +2025-08-24,21:11:11 | INFO | Train Epoch: 11 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.10541 (0.15010) Boundary_loss: 0.012831 (0.012827) Loss: 0.11825 (0.16293) +2025-08-24,21:12:10 | INFO | Train Epoch: 11 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.15544 (0.15011) Boundary_loss: 0.012780 (0.012827) Loss: 0.16822 (0.16294) +2025-08-24,21:13:09 | INFO | Train Epoch: 11 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.12016 (0.15005) Boundary_loss: 0.012819 (0.012827) Loss: 0.13298 (0.16288) +2025-08-24,21:14:07 | INFO | Train Epoch: 11 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.13568 (0.15002) Boundary_loss: 0.012852 (0.012827) Loss: 0.14853 (0.16285) +2025-08-24,21:15:06 | INFO | Train Epoch: 11 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.17312 (0.15007) Boundary_loss: 0.012804 (0.012827) Loss: 0.18593 (0.16290) +2025-08-24,21:16:05 | INFO | Train Epoch: 11 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.16475 (0.15010) Boundary_loss: 0.012802 (0.012827) Loss: 0.17755 (0.16292) +2025-08-24,21:17:03 | INFO | Train Epoch: 11 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.15150 (0.15010) Boundary_loss: 0.012778 (0.012827) Loss: 0.16428 (0.16293) +2025-08-24,21:18:02 | INFO | Train Epoch: 11 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.16676 (0.15013) Boundary_loss: 0.012896 (0.012827) Loss: 0.17965 (0.16296) +2025-08-24,21:19:01 | INFO | Train Epoch: 11 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.12035 (0.15007) Boundary_loss: 0.012794 (0.012827) Loss: 0.13314 (0.16290) +2025-08-24,21:19:59 | INFO | Train Epoch: 11 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.12834 (0.15003) Boundary_loss: 0.012893 (0.012827) Loss: 0.14123 (0.16286) +2025-08-24,21:20:58 | INFO | Train Epoch: 11 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.11201 (0.14996) Boundary_loss: 0.012822 (0.012827) Loss: 0.12483 (0.16278) +2025-08-24,21:21:56 | INFO | Train Epoch: 11 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.18477 (0.15003) Boundary_loss: 0.012839 (0.012827) Loss: 0.19761 (0.16285) +2025-08-24,21:22:55 | INFO | Train Epoch: 11 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.16499 (0.15005) Boundary_loss: 0.012792 (0.012827) Loss: 0.17779 (0.16288) +2025-08-24,21:23:54 | INFO | Train Epoch: 11 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.11499 (0.14999) Boundary_loss: 0.012834 (0.012827) Loss: 0.12782 (0.16281) +2025-08-24,21:24:52 | INFO | Train Epoch: 11 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.098569 (0.14989) Boundary_loss: 0.012776 (0.012827) Loss: 0.11135 (0.16271) +2025-08-24,21:25:51 | INFO | Train Epoch: 11 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.19596 (0.14998) Boundary_loss: 0.012781 (0.012827) Loss: 0.20874 (0.16280) +2025-08-24,21:26:50 | INFO | Train Epoch: 11 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.11859 (0.14991) Boundary_loss: 0.012883 (0.012827) Loss: 0.13147 (0.16274) +2025-08-24,21:27:45 | INFO | Train Epoch: 11 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.16470 (0.14994) Boundary_loss: 0.012935 (0.012827) Loss: 0.17763 (0.16277) +2025-08-24,21:27:45 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-24,21:27:45 | INFO | [Epoch 11] Average Step Time: 0.589s | Average GPU Memory: 33.4 GB +2025-08-24,21:27:45 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-24,21:27:45 | INFO | Starting zero-shot imagenet. +2025-08-24,21:27:45 | INFO | Building zero-shot classifier +2025-08-24,21:27:55 | INFO | Using classifier +2025-08-24,21:28:37 | INFO | Finished zero-shot imagenet. +2025-08-24,21:28:37 | INFO | Eval Epoch: 12 imagenet-zeroshot-val-top1: 0.3096 imagenet-zeroshot-val-top5: 0.5794 +2025-08-24,21:28:38 | INFO | Start epoch 12 +2025-08-24,21:28:40 | INFO | Train Epoch: 12 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.14945 (0.14945) Boundary_loss: 0.012801 (0.012801) Loss: 0.16225 (0.16225) +2025-08-24,21:29:39 | INFO | Train Epoch: 12 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.13406 (0.14175) Boundary_loss: 0.012898 (0.012850) Loss: 0.14696 (0.15460) +2025-08-24,21:30:37 | INFO | Train Epoch: 12 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.514 Boundary Ratio: 0.100 Contrastive_loss: 0.10046 (0.12799) Boundary_loss: 0.012802 (0.012834) Loss: 0.11326 (0.14082) +2025-08-24,21:31:36 | INFO | Train Epoch: 12 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.15508 (0.13476) Boundary_loss: 0.012822 (0.012831) Loss: 0.16791 (0.14759) +2025-08-24,21:32:34 | INFO | Train Epoch: 12 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.496 Boundary Ratio: 0.099 Contrastive_loss: 0.13326 (0.13446) Boundary_loss: 0.012861 (0.012837) Loss: 0.14612 (0.14730) +2025-08-24,21:33:33 | INFO | Train Epoch: 12 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.11704 (0.13156) Boundary_loss: 0.012872 (0.012843) Loss: 0.12991 (0.14440) +2025-08-24,21:34:32 | INFO | Train Epoch: 12 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.12805 (0.13106) Boundary_loss: 0.012805 (0.012837) Loss: 0.14086 (0.14389) +2025-08-24,21:35:30 | INFO | Train Epoch: 12 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.11825 (0.12946) Boundary_loss: 0.012814 (0.012834) Loss: 0.13106 (0.14229) +2025-08-24,21:36:29 | INFO | Train Epoch: 12 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.13807 (0.13041) Boundary_loss: 0.012773 (0.012828) Loss: 0.15084 (0.14324) +2025-08-24,21:37:28 | INFO | Train Epoch: 12 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.11116 (0.12849) Boundary_loss: 0.012806 (0.012825) Loss: 0.12396 (0.14131) +2025-08-24,21:38:26 | INFO | Train Epoch: 12 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.15122 (0.13055) Boundary_loss: 0.012811 (0.012824) Loss: 0.16403 (0.14338) +2025-08-24,21:39:25 | INFO | Train Epoch: 12 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.13654 (0.13105) Boundary_loss: 0.012718 (0.012815) Loss: 0.14926 (0.14387) +2025-08-24,21:40:23 | INFO | Train Epoch: 12 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.15429 (0.13284) Boundary_loss: 0.012809 (0.012815) Loss: 0.16710 (0.14566) +2025-08-24,21:41:22 | INFO | Train Epoch: 12 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.099015 (0.13042) Boundary_loss: 0.012812 (0.012815) Loss: 0.11183 (0.14324) +2025-08-24,21:42:20 | INFO | Train Epoch: 12 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.11180 (0.12918) Boundary_loss: 0.012759 (0.012811) Loss: 0.12456 (0.14199) +2025-08-24,21:43:19 | INFO | Train Epoch: 12 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.15211 (0.13062) Boundary_loss: 0.012867 (0.012814) Loss: 0.16498 (0.14343) +2025-08-24,21:44:18 | INFO | Train Epoch: 12 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.13649 (0.13096) Boundary_loss: 0.012874 (0.012818) Loss: 0.14936 (0.14378) +2025-08-24,21:45:16 | INFO | Train Epoch: 12 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.12562 (0.13066) Boundary_loss: 0.012817 (0.012818) Loss: 0.13844 (0.14348) +2025-08-24,21:46:15 | INFO | Train Epoch: 12 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.457 Boundary Ratio: 0.099 Contrastive_loss: 0.16626 (0.13254) Boundary_loss: 0.012832 (0.012819) Loss: 0.17909 (0.14536) +2025-08-24,21:47:13 | INFO | Train Epoch: 12 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.13867 (0.13284) Boundary_loss: 0.012841 (0.012820) Loss: 0.15151 (0.14566) +2025-08-24,21:48:12 | INFO | Train Epoch: 12 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.15064 (0.13369) Boundary_loss: 0.012824 (0.012820) Loss: 0.16346 (0.14651) +2025-08-24,21:49:11 | INFO | Train Epoch: 12 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.11684 (0.13293) Boundary_loss: 0.012831 (0.012820) Loss: 0.12967 (0.14575) +2025-08-24,21:50:09 | INFO | Train Epoch: 12 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.15313 (0.13380) Boundary_loss: 0.012833 (0.012821) Loss: 0.16597 (0.14663) +2025-08-24,21:51:08 | INFO | Train Epoch: 12 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.11343 (0.13296) Boundary_loss: 0.012847 (0.012822) Loss: 0.12627 (0.14578) +2025-08-24,21:52:06 | INFO | Train Epoch: 12 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.096418 (0.13149) Boundary_loss: 0.012830 (0.012822) Loss: 0.10925 (0.14432) +2025-08-24,21:53:05 | INFO | Train Epoch: 12 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.15534 (0.13241) Boundary_loss: 0.012790 (0.012821) Loss: 0.16813 (0.14523) +2025-08-24,21:54:04 | INFO | Train Epoch: 12 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.11443 (0.13175) Boundary_loss: 0.012808 (0.012821) Loss: 0.12724 (0.14457) +2025-08-24,21:55:02 | INFO | Train Epoch: 12 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.19097 (0.13386) Boundary_loss: 0.012820 (0.012821) Loss: 0.20379 (0.14668) +2025-08-24,21:56:01 | INFO | Train Epoch: 12 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.12703 (0.13363) Boundary_loss: 0.012740 (0.012818) Loss: 0.13977 (0.14644) +2025-08-24,21:56:59 | INFO | Train Epoch: 12 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.13048 (0.13352) Boundary_loss: 0.012777 (0.012816) Loss: 0.14326 (0.14634) +2025-08-24,21:57:58 | INFO | Train Epoch: 12 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.11283 (0.13285) Boundary_loss: 0.012722 (0.012813) Loss: 0.12556 (0.14567) +2025-08-24,21:58:57 | INFO | Train Epoch: 12 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.12598 (0.13264) Boundary_loss: 0.012883 (0.012816) Loss: 0.13887 (0.14545) +2025-08-24,21:59:55 | INFO | Train Epoch: 12 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.12186 (0.13231) Boundary_loss: 0.012822 (0.012816) Loss: 0.13468 (0.14513) +2025-08-24,22:00:54 | INFO | Train Epoch: 12 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.11424 (0.13178) Boundary_loss: 0.012889 (0.012818) Loss: 0.12713 (0.14460) +2025-08-24,22:01:52 | INFO | Train Epoch: 12 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.20876 (0.13398) Boundary_loss: 0.012824 (0.012818) Loss: 0.22159 (0.14680) +2025-08-24,22:02:51 | INFO | Train Epoch: 12 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.12828 (0.13382) Boundary_loss: 0.012799 (0.012818) Loss: 0.14108 (0.14664) +2025-08-24,22:03:50 | INFO | Train Epoch: 12 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.093183 (0.13272) Boundary_loss: 0.012799 (0.012817) Loss: 0.10598 (0.14554) +2025-08-24,22:04:48 | INFO | Train Epoch: 12 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.12623 (0.13255) Boundary_loss: 0.012844 (0.012818) Loss: 0.13908 (0.14537) +2025-08-24,22:05:47 | INFO | Train Epoch: 12 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.11962 (0.13222) Boundary_loss: 0.012878 (0.012819) Loss: 0.13250 (0.14504) +2025-08-24,22:06:45 | INFO | Train Epoch: 12 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.10658 (0.13158) Boundary_loss: 0.012757 (0.012818) Loss: 0.11934 (0.14440) +2025-08-24,22:07:44 | INFO | Train Epoch: 12 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 18.893 Boundary Ratio: 0.096 Contrastive_loss: 0.11191 (0.13110) Boundary_loss: 0.012829 (0.012818) Loss: 0.12474 (0.14392) +2025-08-24,22:08:43 | INFO | Train Epoch: 12 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.12809 (0.13103) Boundary_loss: 0.012731 (0.012816) Loss: 0.14082 (0.14384) +2025-08-24,22:09:41 | INFO | Train Epoch: 12 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.12801 (0.13096) Boundary_loss: 0.012801 (0.012816) Loss: 0.14081 (0.14377) +2025-08-24,22:10:40 | INFO | Train Epoch: 12 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.10364 (0.13034) Boundary_loss: 0.012822 (0.012816) Loss: 0.11647 (0.14315) +2025-08-24,22:11:39 | INFO | Train Epoch: 12 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.085237 (0.12934) Boundary_loss: 0.012703 (0.012813) Loss: 0.097939 (0.14215) +2025-08-24,22:12:37 | INFO | Train Epoch: 12 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.091404 (0.12851) Boundary_loss: 0.012806 (0.012813) Loss: 0.10421 (0.14132) +2025-08-24,22:13:36 | INFO | Train Epoch: 12 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.17046 (0.12940) Boundary_loss: 0.012811 (0.012813) Loss: 0.18327 (0.14222) +2025-08-24,22:14:35 | INFO | Train Epoch: 12 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.12523 (0.12932) Boundary_loss: 0.012800 (0.012813) Loss: 0.13803 (0.14213) +2025-08-24,22:15:33 | INFO | Train Epoch: 12 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.092717 (0.12857) Boundary_loss: 0.012895 (0.012814) Loss: 0.10561 (0.14138) +2025-08-24,22:16:32 | INFO | Train Epoch: 12 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.13294 (0.12866) Boundary_loss: 0.013002 (0.012818) Loss: 0.14594 (0.14147) +2025-08-24,22:17:31 | INFO | Train Epoch: 12 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.10015 (0.12810) Boundary_loss: 0.012768 (0.012817) Loss: 0.11292 (0.14091) +2025-08-24,22:18:29 | INFO | Train Epoch: 12 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.508 Boundary Ratio: 0.100 Contrastive_loss: 0.10396 (0.12763) Boundary_loss: 0.012766 (0.012816) Loss: 0.11672 (0.14045) +2025-08-24,22:19:28 | INFO | Train Epoch: 12 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 18.953 Boundary Ratio: 0.097 Contrastive_loss: 0.12305 (0.12755) Boundary_loss: 0.012808 (0.012816) Loss: 0.13586 (0.14036) +2025-08-24,22:20:27 | INFO | Train Epoch: 12 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.091379 (0.12688) Boundary_loss: 0.012867 (0.012817) Loss: 0.10425 (0.13969) +2025-08-24,22:21:25 | INFO | Train Epoch: 12 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.12736 (0.12689) Boundary_loss: 0.012815 (0.012817) Loss: 0.14018 (0.13970) +2025-08-24,22:22:24 | INFO | Train Epoch: 12 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.19414 (0.12809) Boundary_loss: 0.012902 (0.012819) Loss: 0.20705 (0.14091) +2025-08-24,22:23:23 | INFO | Train Epoch: 12 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.15015 (0.12847) Boundary_loss: 0.012762 (0.012818) Loss: 0.16291 (0.14129) +2025-08-24,22:24:21 | INFO | Train Epoch: 12 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.11653 (0.12827) Boundary_loss: 0.012763 (0.012817) Loss: 0.12929 (0.14108) +2025-08-24,22:25:20 | INFO | Train Epoch: 12 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 18.996 Boundary Ratio: 0.097 Contrastive_loss: 0.13169 (0.12833) Boundary_loss: 0.012872 (0.012818) Loss: 0.14457 (0.14114) +2025-08-24,22:26:19 | INFO | Train Epoch: 12 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.11310 (0.12807) Boundary_loss: 0.012781 (0.012817) Loss: 0.12588 (0.14089) +2025-08-24,22:27:17 | INFO | Train Epoch: 12 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.10870 (0.12775) Boundary_loss: 0.012766 (0.012816) Loss: 0.12146 (0.14057) +2025-08-24,22:28:16 | INFO | Train Epoch: 12 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.12308 (0.12768) Boundary_loss: 0.012751 (0.012815) Loss: 0.13583 (0.14049) +2025-08-24,22:29:15 | INFO | Train Epoch: 12 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.562 Boundary Ratio: 0.100 Contrastive_loss: 0.10829 (0.12737) Boundary_loss: 0.012775 (0.012814) Loss: 0.12107 (0.14019) +2025-08-24,22:30:13 | INFO | Train Epoch: 12 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.11635 (0.12720) Boundary_loss: 0.012875 (0.012815) Loss: 0.12923 (0.14001) +2025-08-24,22:31:12 | INFO | Train Epoch: 12 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.11871 (0.12707) Boundary_loss: 0.012824 (0.012815) Loss: 0.13154 (0.13988) +2025-08-24,22:32:11 | INFO | Train Epoch: 12 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.12353 (0.12702) Boundary_loss: 0.012744 (0.012814) Loss: 0.13627 (0.13983) +2025-08-24,22:33:09 | INFO | Train Epoch: 12 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.11318 (0.12681) Boundary_loss: 0.012741 (0.012813) Loss: 0.12592 (0.13962) +2025-08-24,22:34:08 | INFO | Train Epoch: 12 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.083148 (0.12617) Boundary_loss: 0.012821 (0.012813) Loss: 0.095969 (0.13898) +2025-08-24,22:35:07 | INFO | Train Epoch: 12 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.13944 (0.12636) Boundary_loss: 0.012729 (0.012812) Loss: 0.15217 (0.13917) +2025-08-24,22:36:05 | INFO | Train Epoch: 12 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.19410 (0.12733) Boundary_loss: 0.012802 (0.012812) Loss: 0.20690 (0.14014) +2025-08-24,22:37:04 | INFO | Train Epoch: 12 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.094357 (0.12686) Boundary_loss: 0.012732 (0.012811) Loss: 0.10709 (0.13967) +2025-08-24,22:38:02 | INFO | Train Epoch: 12 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.10932 (0.12662) Boundary_loss: 0.012872 (0.012812) Loss: 0.12220 (0.13943) +2025-08-24,22:39:01 | INFO | Train Epoch: 12 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.14564 (0.12688) Boundary_loss: 0.012801 (0.012812) Loss: 0.15844 (0.13969) +2025-08-24,22:40:00 | INFO | Train Epoch: 12 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.12744 (0.12689) Boundary_loss: 0.012709 (0.012810) Loss: 0.14014 (0.13970) +2025-08-24,22:40:58 | INFO | Train Epoch: 12 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 18.984 Boundary Ratio: 0.097 Contrastive_loss: 0.13979 (0.12706) Boundary_loss: 0.012888 (0.012811) Loss: 0.15267 (0.13987) +2025-08-24,22:41:57 | INFO | Train Epoch: 12 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.13977 (0.12723) Boundary_loss: 0.012830 (0.012812) Loss: 0.15260 (0.14004) +2025-08-24,22:42:56 | INFO | Train Epoch: 12 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.12551 (0.12720) Boundary_loss: 0.012825 (0.012812) Loss: 0.13833 (0.14002) +2025-08-24,22:43:54 | INFO | Train Epoch: 12 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.085405 (0.12667) Boundary_loss: 0.012784 (0.012811) Loss: 0.098189 (0.13948) +2025-08-24,22:44:53 | INFO | Train Epoch: 12 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.075813 (0.12602) Boundary_loss: 0.012928 (0.012813) Loss: 0.088741 (0.13884) +2025-08-24,22:45:52 | INFO | Train Epoch: 12 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.11160 (0.12584) Boundary_loss: 0.012773 (0.012812) Loss: 0.12438 (0.13866) +2025-08-24,22:46:51 | INFO | Train Epoch: 12 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.14930 (0.12613) Boundary_loss: 0.012860 (0.012813) Loss: 0.16216 (0.13895) +2025-08-24,22:47:49 | INFO | Train Epoch: 12 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.15292 (0.12646) Boundary_loss: 0.012837 (0.012813) Loss: 0.16576 (0.13927) +2025-08-24,22:48:48 | INFO | Train Epoch: 12 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.14789 (0.12672) Boundary_loss: 0.012827 (0.012813) Loss: 0.16072 (0.13953) +2025-08-24,22:49:47 | INFO | Train Epoch: 12 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.15177 (0.12702) Boundary_loss: 0.012798 (0.012813) Loss: 0.16457 (0.13983) +2025-08-24,22:50:45 | INFO | Train Epoch: 12 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.13324 (0.12709) Boundary_loss: 0.012720 (0.012812) Loss: 0.14596 (0.13990) +2025-08-24,22:51:44 | INFO | Train Epoch: 12 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.077787 (0.12652) Boundary_loss: 0.012786 (0.012812) Loss: 0.090573 (0.13933) +2025-08-24,22:52:42 | INFO | Train Epoch: 12 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.13145 (0.12657) Boundary_loss: 0.012802 (0.012812) Loss: 0.14425 (0.13938) +2025-08-24,22:53:41 | INFO | Train Epoch: 12 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.10276 (0.12630) Boundary_loss: 0.012797 (0.012811) Loss: 0.11556 (0.13911) +2025-08-24,22:54:40 | INFO | Train Epoch: 12 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.098087 (0.12599) Boundary_loss: 0.012809 (0.012811) Loss: 0.11090 (0.13880) +2025-08-24,22:55:39 | INFO | Train Epoch: 12 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.13348 (0.12607) Boundary_loss: 0.012817 (0.012812) Loss: 0.14630 (0.13888) +2025-08-24,22:56:37 | INFO | Train Epoch: 12 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.14136 (0.12624) Boundary_loss: 0.012795 (0.012811) Loss: 0.15415 (0.13905) +2025-08-24,22:57:36 | INFO | Train Epoch: 12 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.16565 (0.12667) Boundary_loss: 0.012806 (0.012811) Loss: 0.17846 (0.13948) +2025-08-24,22:58:34 | INFO | Train Epoch: 12 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.10610 (0.12644) Boundary_loss: 0.012891 (0.012812) Loss: 0.11899 (0.13926) +2025-08-24,22:59:33 | INFO | Train Epoch: 12 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.14063 (0.12660) Boundary_loss: 0.012850 (0.012813) Loss: 0.15348 (0.13941) +2025-08-24,23:00:32 | INFO | Train Epoch: 12 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.088857 (0.12620) Boundary_loss: 0.012783 (0.012812) Loss: 0.10164 (0.13901) +2025-08-24,23:01:30 | INFO | Train Epoch: 12 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.14470 (0.12639) Boundary_loss: 0.012796 (0.012812) Loss: 0.15749 (0.13920) +2025-08-24,23:02:29 | INFO | Train Epoch: 12 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.13209 (0.12645) Boundary_loss: 0.012809 (0.012812) Loss: 0.14490 (0.13926) +2025-08-24,23:03:28 | INFO | Train Epoch: 12 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.11956 (0.12638) Boundary_loss: 0.012794 (0.012812) Loss: 0.13235 (0.13919) +2025-08-24,23:04:26 | INFO | Train Epoch: 12 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.13227 (0.12644) Boundary_loss: 0.012847 (0.012812) Loss: 0.14512 (0.13925) +2025-08-24,23:05:25 | INFO | Train Epoch: 12 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.11539 (0.12633) Boundary_loss: 0.012814 (0.012812) Loss: 0.12820 (0.13914) +2025-08-24,23:06:24 | INFO | Train Epoch: 12 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.13871 (0.12645) Boundary_loss: 0.012781 (0.012812) Loss: 0.15149 (0.13926) +2025-08-24,23:07:22 | INFO | Train Epoch: 12 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.10222 (0.12621) Boundary_loss: 0.012818 (0.012812) Loss: 0.11504 (0.13903) +2025-08-24,23:08:21 | INFO | Train Epoch: 12 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.11122 (0.12607) Boundary_loss: 0.012818 (0.012812) Loss: 0.12404 (0.13888) +2025-08-24,23:09:20 | INFO | Train Epoch: 12 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.093294 (0.12575) Boundary_loss: 0.012816 (0.012812) Loss: 0.10611 (0.13856) +2025-08-24,23:10:18 | INFO | Train Epoch: 12 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.12181 (0.12571) Boundary_loss: 0.012835 (0.012812) Loss: 0.13464 (0.13853) +2025-08-24,23:11:17 | INFO | Train Epoch: 12 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.15845 (0.12602) Boundary_loss: 0.012840 (0.012813) Loss: 0.17129 (0.13884) +2025-08-24,23:12:16 | INFO | Train Epoch: 12 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 0.11375 (0.12591) Boundary_loss: 0.012817 (0.012813) Loss: 0.12657 (0.13872) +2025-08-24,23:13:14 | INFO | Train Epoch: 12 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.074275 (0.12543) Boundary_loss: 0.012867 (0.012813) Loss: 0.087142 (0.13824) +2025-08-24,23:14:13 | INFO | Train Epoch: 12 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.12445 (0.12542) Boundary_loss: 0.012923 (0.012814) Loss: 0.13737 (0.13824) +2025-08-24,23:15:12 | INFO | Train Epoch: 12 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.11694 (0.12534) Boundary_loss: 0.012874 (0.012815) Loss: 0.12981 (0.13816) +2025-08-24,23:16:10 | INFO | Train Epoch: 12 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.12024 (0.12530) Boundary_loss: 0.012798 (0.012814) Loss: 0.13304 (0.13811) +2025-08-24,23:17:09 | INFO | Train Epoch: 12 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.15118 (0.12553) Boundary_loss: 0.012812 (0.012814) Loss: 0.16399 (0.13834) +2025-08-24,23:18:07 | INFO | Train Epoch: 12 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.12203 (0.12550) Boundary_loss: 0.012761 (0.012814) Loss: 0.13479 (0.13831) +2025-08-24,23:19:06 | INFO | Train Epoch: 12 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.12402 (0.12549) Boundary_loss: 0.012897 (0.012815) Loss: 0.13692 (0.13830) +2025-08-24,23:20:05 | INFO | Train Epoch: 12 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.11847 (0.12542) Boundary_loss: 0.012784 (0.012814) Loss: 0.13125 (0.13824) +2025-08-24,23:21:03 | INFO | Train Epoch: 12 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.14911 (0.12563) Boundary_loss: 0.012763 (0.012814) Loss: 0.16188 (0.13844) +2025-08-24,23:22:02 | INFO | Train Epoch: 12 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.090236 (0.12533) Boundary_loss: 0.012781 (0.012814) Loss: 0.10302 (0.13814) +2025-08-24,23:23:01 | INFO | Train Epoch: 12 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.11803 (0.12526) Boundary_loss: 0.012952 (0.012815) Loss: 0.13099 (0.13808) +2025-08-24,23:23:59 | INFO | Train Epoch: 12 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.10788 (0.12512) Boundary_loss: 0.012876 (0.012815) Loss: 0.12075 (0.13793) +2025-08-24,23:24:58 | INFO | Train Epoch: 12 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.13675 (0.12522) Boundary_loss: 0.012751 (0.012815) Loss: 0.14950 (0.13803) +2025-08-24,23:25:57 | INFO | Train Epoch: 12 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.13667 (0.12531) Boundary_loss: 0.012782 (0.012815) Loss: 0.14945 (0.13812) +2025-08-24,23:26:55 | INFO | Train Epoch: 12 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.10409 (0.12514) Boundary_loss: 0.012760 (0.012814) Loss: 0.11685 (0.13795) +2025-08-24,23:27:54 | INFO | Train Epoch: 12 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.12411 (0.12513) Boundary_loss: 0.012855 (0.012814) Loss: 0.13696 (0.13794) +2025-08-24,23:28:52 | INFO | Train Epoch: 12 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.082279 (0.12478) Boundary_loss: 0.012733 (0.012814) Loss: 0.095012 (0.13760) +2025-08-24,23:29:51 | INFO | Train Epoch: 12 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.10270 (0.12461) Boundary_loss: 0.012820 (0.012814) Loss: 0.11551 (0.13742) +2025-08-24,23:30:49 | INFO | Train Epoch: 12 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 0.14262 (0.12475) Boundary_loss: 0.012745 (0.012813) Loss: 0.15537 (0.13756) +2025-08-24,23:31:48 | INFO | Train Epoch: 12 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.13545 (0.12483) Boundary_loss: 0.012826 (0.012813) Loss: 0.14827 (0.13765) +2025-08-24,23:32:47 | INFO | Train Epoch: 12 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.11882 (0.12479) Boundary_loss: 0.012795 (0.012813) Loss: 0.13161 (0.13760) +2025-08-24,23:33:45 | INFO | Train Epoch: 12 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.10585 (0.12464) Boundary_loss: 0.012845 (0.012814) Loss: 0.11869 (0.13745) +2025-08-24,23:34:44 | INFO | Train Epoch: 12 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.14247 (0.12478) Boundary_loss: 0.012790 (0.012813) Loss: 0.15526 (0.13759) +2025-08-24,23:35:42 | INFO | Train Epoch: 12 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.11298 (0.12469) Boundary_loss: 0.012850 (0.012814) Loss: 0.12583 (0.13750) +2025-08-24,23:36:41 | INFO | Train Epoch: 12 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.15658 (0.12493) Boundary_loss: 0.012811 (0.012814) Loss: 0.16939 (0.13774) +2025-08-24,23:37:40 | INFO | Train Epoch: 12 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.099322 (0.12474) Boundary_loss: 0.012806 (0.012814) Loss: 0.11213 (0.13755) +2025-08-24,23:38:38 | INFO | Train Epoch: 12 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.553 Boundary Ratio: 0.100 Contrastive_loss: 0.11981 (0.12470) Boundary_loss: 0.012840 (0.012814) Loss: 0.13264 (0.13751) +2025-08-24,23:39:37 | INFO | Train Epoch: 12 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.12909 (0.12473) Boundary_loss: 0.012809 (0.012814) Loss: 0.14190 (0.13754) +2025-08-24,23:40:35 | INFO | Train Epoch: 12 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.12699 (0.12475) Boundary_loss: 0.012842 (0.012814) Loss: 0.13984 (0.13756) +2025-08-24,23:41:34 | INFO | Train Epoch: 12 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.19264 (0.12524) Boundary_loss: 0.012692 (0.012813) Loss: 0.20533 (0.13806) +2025-08-24,23:42:33 | INFO | Train Epoch: 12 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.11912 (0.12520) Boundary_loss: 0.012756 (0.012813) Loss: 0.13187 (0.13801) +2025-08-24,23:43:31 | INFO | Train Epoch: 12 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.17341 (0.12555) Boundary_loss: 0.012831 (0.012813) Loss: 0.18624 (0.13836) +2025-08-24,23:44:30 | INFO | Train Epoch: 12 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.11967 (0.12550) Boundary_loss: 0.012910 (0.012813) Loss: 0.13258 (0.13832) +2025-08-24,23:45:28 | INFO | Train Epoch: 12 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.561 Boundary Ratio: 0.100 Contrastive_loss: 0.091743 (0.12526) Boundary_loss: 0.012804 (0.012813) Loss: 0.10455 (0.13808) +2025-08-24,23:46:27 | INFO | Train Epoch: 12 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.479 Boundary Ratio: 0.099 Contrastive_loss: 0.11470 (0.12519) Boundary_loss: 0.012822 (0.012813) Loss: 0.12752 (0.13800) +2025-08-24,23:47:25 | INFO | Train Epoch: 12 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.090464 (0.12495) Boundary_loss: 0.012747 (0.012813) Loss: 0.10321 (0.13776) +2025-08-24,23:48:24 | INFO | Train Epoch: 12 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.10001 (0.12477) Boundary_loss: 0.012821 (0.012813) Loss: 0.11283 (0.13759) +2025-08-24,23:49:23 | INFO | Train Epoch: 12 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.12413 (0.12477) Boundary_loss: 0.012841 (0.012813) Loss: 0.13697 (0.13758) +2025-08-24,23:50:21 | INFO | Train Epoch: 12 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.10993 (0.12467) Boundary_loss: 0.012870 (0.012814) Loss: 0.12280 (0.13748) +2025-08-24,23:51:20 | INFO | Train Epoch: 12 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.12476 (0.12467) Boundary_loss: 0.012825 (0.012814) Loss: 0.13758 (0.13748) +2025-08-24,23:52:18 | INFO | Train Epoch: 12 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.14867 (0.12483) Boundary_loss: 0.012888 (0.012814) Loss: 0.16156 (0.13764) +2025-08-24,23:53:17 | INFO | Train Epoch: 12 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.087201 (0.12458) Boundary_loss: 0.012820 (0.012814) Loss: 0.10002 (0.13739) +2025-08-24,23:54:15 | INFO | Train Epoch: 12 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.16741 (0.12486) Boundary_loss: 0.012826 (0.012814) Loss: 0.18023 (0.13768) +2025-08-24,23:55:14 | INFO | Train Epoch: 12 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.12644 (0.12487) Boundary_loss: 0.012815 (0.012814) Loss: 0.13925 (0.13769) +2025-08-24,23:56:13 | INFO | Train Epoch: 12 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.14148 (0.12498) Boundary_loss: 0.013024 (0.012816) Loss: 0.15451 (0.13780) +2025-08-24,23:57:11 | INFO | Train Epoch: 12 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.480 Boundary Ratio: 0.099 Contrastive_loss: 0.12254 (0.12497) Boundary_loss: 0.012830 (0.012816) Loss: 0.13537 (0.13778) +2025-08-24,23:58:10 | INFO | Train Epoch: 12 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.600 Boundary Ratio: 0.100 Contrastive_loss: 0.14514 (0.12510) Boundary_loss: 0.012831 (0.012816) Loss: 0.15797 (0.13791) +2025-08-24,23:59:09 | INFO | Train Epoch: 12 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.091058 (0.12488) Boundary_loss: 0.012779 (0.012816) Loss: 0.10384 (0.13769) +2025-08-25,00:00:07 | INFO | Train Epoch: 12 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.12186 (0.12486) Boundary_loss: 0.012838 (0.012816) Loss: 0.13470 (0.13768) +2025-08-25,00:01:06 | INFO | Train Epoch: 12 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.13682 (0.12494) Boundary_loss: 0.012867 (0.012816) Loss: 0.14969 (0.13775) +2025-08-25,00:02:04 | INFO | Train Epoch: 12 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.494 Boundary Ratio: 0.099 Contrastive_loss: 0.14079 (0.12504) Boundary_loss: 0.012741 (0.012816) Loss: 0.15354 (0.13785) +2025-08-25,00:03:03 | INFO | Train Epoch: 12 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.13279 (0.12508) Boundary_loss: 0.012880 (0.012816) Loss: 0.14567 (0.13790) +2025-08-25,00:04:02 | INFO | Train Epoch: 12 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.10833 (0.12498) Boundary_loss: 0.012803 (0.012816) Loss: 0.12113 (0.13780) +2025-08-25,00:05:00 | INFO | Train Epoch: 12 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.10702 (0.12487) Boundary_loss: 0.012733 (0.012815) Loss: 0.11976 (0.13768) +2025-08-25,00:05:59 | INFO | Train Epoch: 12 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.13681 (0.12494) Boundary_loss: 0.012733 (0.012815) Loss: 0.14954 (0.13776) +2025-08-25,00:06:57 | INFO | Train Epoch: 12 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.13822 (0.12502) Boundary_loss: 0.012764 (0.012815) Loss: 0.15098 (0.13784) +2025-08-25,00:07:56 | INFO | Train Epoch: 12 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.10674 (0.12491) Boundary_loss: 0.012832 (0.012815) Loss: 0.11957 (0.13773) +2025-08-25,00:08:54 | INFO | Train Epoch: 12 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.13027 (0.12494) Boundary_loss: 0.012732 (0.012814) Loss: 0.14300 (0.13776) +2025-08-25,00:09:53 | INFO | Train Epoch: 12 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.091540 (0.12474) Boundary_loss: 0.012767 (0.012814) Loss: 0.10431 (0.13756) +2025-08-25,00:10:52 | INFO | Train Epoch: 12 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.11150 (0.12466) Boundary_loss: 0.012808 (0.012814) Loss: 0.12430 (0.13748) +2025-08-25,00:11:50 | INFO | Train Epoch: 12 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.11651 (0.12462) Boundary_loss: 0.012797 (0.012814) Loss: 0.12931 (0.13743) +2025-08-25,00:12:49 | INFO | Train Epoch: 12 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.075505 (0.12432) Boundary_loss: 0.012761 (0.012813) Loss: 0.088266 (0.13714) +2025-08-25,00:13:48 | INFO | Train Epoch: 12 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.13955 (0.12441) Boundary_loss: 0.012803 (0.012813) Loss: 0.15235 (0.13723) +2025-08-25,00:14:46 | INFO | Train Epoch: 12 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.11770 (0.12438) Boundary_loss: 0.012827 (0.012814) Loss: 0.13052 (0.13719) +2025-08-25,00:15:45 | INFO | Train Epoch: 12 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.14815 (0.12451) Boundary_loss: 0.012793 (0.012813) Loss: 0.16094 (0.13733) +2025-08-25,00:16:43 | INFO | Train Epoch: 12 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.075022 (0.12423) Boundary_loss: 0.012865 (0.012814) Loss: 0.087887 (0.13704) +2025-08-25,00:17:42 | INFO | Train Epoch: 12 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.078579 (0.12396) Boundary_loss: 0.012728 (0.012813) Loss: 0.091307 (0.13678) +2025-08-25,00:18:41 | INFO | Train Epoch: 12 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.12918 (0.12399) Boundary_loss: 0.012744 (0.012813) Loss: 0.14192 (0.13681) +2025-08-25,00:19:39 | INFO | Train Epoch: 12 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.531 Boundary Ratio: 0.100 Contrastive_loss: 0.12201 (0.12398) Boundary_loss: 0.012730 (0.012812) Loss: 0.13474 (0.13680) +2025-08-25,00:20:38 | INFO | Train Epoch: 12 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.12937 (0.12401) Boundary_loss: 0.012803 (0.012812) Loss: 0.14217 (0.13683) +2025-08-25,00:21:36 | INFO | Train Epoch: 12 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.080763 (0.12377) Boundary_loss: 0.012836 (0.012812) Loss: 0.093599 (0.13658) +2025-08-25,00:22:35 | INFO | Train Epoch: 12 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.10032 (0.12364) Boundary_loss: 0.012797 (0.012812) Loss: 0.11312 (0.13645) +2025-08-25,00:23:34 | INFO | Train Epoch: 12 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.10014 (0.12351) Boundary_loss: 0.012922 (0.012813) Loss: 0.11306 (0.13632) +2025-08-25,00:24:32 | INFO | Train Epoch: 12 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.13026 (0.12355) Boundary_loss: 0.012769 (0.012813) Loss: 0.14303 (0.13636) +2025-08-25,00:25:31 | INFO | Train Epoch: 12 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.096295 (0.12340) Boundary_loss: 0.012790 (0.012813) Loss: 0.10908 (0.13621) +2025-08-25,00:26:30 | INFO | Train Epoch: 12 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.12017 (0.12338) Boundary_loss: 0.012917 (0.012813) Loss: 0.13308 (0.13619) +2025-08-25,00:27:28 | INFO | Train Epoch: 12 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.10412 (0.12327) Boundary_loss: 0.012827 (0.012813) Loss: 0.11694 (0.13609) +2025-08-25,00:28:27 | INFO | Train Epoch: 12 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.17362 (0.12355) Boundary_loss: 0.012806 (0.012813) Loss: 0.18642 (0.13636) +2025-08-25,00:29:25 | INFO | Train Epoch: 12 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.16395 (0.12376) Boundary_loss: 0.012807 (0.012813) Loss: 0.17676 (0.13658) +2025-08-25,00:30:24 | INFO | Train Epoch: 12 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.10560 (0.12367) Boundary_loss: 0.012867 (0.012813) Loss: 0.11847 (0.13648) +2025-08-25,00:31:23 | INFO | Train Epoch: 12 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.12802 (0.12369) Boundary_loss: 0.012869 (0.012814) Loss: 0.14089 (0.13650) +2025-08-25,00:32:21 | INFO | Train Epoch: 12 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.11948 (0.12367) Boundary_loss: 0.012742 (0.012813) Loss: 0.13222 (0.13648) +2025-08-25,00:33:20 | INFO | Train Epoch: 12 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.14052 (0.12376) Boundary_loss: 0.012782 (0.012813) Loss: 0.15330 (0.13657) +2025-08-25,00:34:19 | INFO | Train Epoch: 12 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.11221 (0.12370) Boundary_loss: 0.012868 (0.012813) Loss: 0.12508 (0.13651) +2025-08-25,00:35:17 | INFO | Train Epoch: 12 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.15044 (0.12384) Boundary_loss: 0.012917 (0.012814) Loss: 0.16336 (0.13665) +2025-08-25,00:36:16 | INFO | Train Epoch: 12 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.10467 (0.12374) Boundary_loss: 0.012820 (0.012814) Loss: 0.11749 (0.13655) +2025-08-25,00:37:15 | INFO | Train Epoch: 12 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.10460 (0.12364) Boundary_loss: 0.012770 (0.012814) Loss: 0.11737 (0.13645) +2025-08-25,00:38:13 | INFO | Train Epoch: 12 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.13572 (0.12370) Boundary_loss: 0.012930 (0.012814) Loss: 0.14865 (0.13651) +2025-08-25,00:39:12 | INFO | Train Epoch: 12 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.11567 (0.12366) Boundary_loss: 0.012785 (0.012814) Loss: 0.12846 (0.13647) +2025-08-25,00:40:10 | INFO | Train Epoch: 12 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.097167 (0.12352) Boundary_loss: 0.012757 (0.012814) Loss: 0.10992 (0.13634) +2025-08-25,00:41:09 | INFO | Train Epoch: 12 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.098580 (0.12340) Boundary_loss: 0.012874 (0.012814) Loss: 0.11145 (0.13621) +2025-08-25,00:42:08 | INFO | Train Epoch: 12 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.12668 (0.12341) Boundary_loss: 0.012851 (0.012814) Loss: 0.13953 (0.13623) +2025-08-25,00:43:06 | INFO | Train Epoch: 12 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.10169 (0.12331) Boundary_loss: 0.012913 (0.012815) Loss: 0.11460 (0.13612) +2025-08-25,00:44:05 | INFO | Train Epoch: 12 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.11224 (0.12325) Boundary_loss: 0.012969 (0.012816) Loss: 0.12520 (0.13607) +2025-08-25,00:45:03 | INFO | Train Epoch: 12 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.12379 (0.12325) Boundary_loss: 0.012800 (0.012816) Loss: 0.13659 (0.13607) +2025-08-25,00:46:02 | INFO | Train Epoch: 12 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.10510 (0.12316) Boundary_loss: 0.012793 (0.012816) Loss: 0.11789 (0.13598) +2025-08-25,00:47:01 | INFO | Train Epoch: 12 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.14423 (0.12327) Boundary_loss: 0.012739 (0.012815) Loss: 0.15697 (0.13608) +2025-08-25,00:47:59 | INFO | Train Epoch: 12 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.12547 (0.12328) Boundary_loss: 0.012815 (0.012815) Loss: 0.13828 (0.13609) +2025-08-25,00:48:58 | INFO | Train Epoch: 12 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.086554 (0.12310) Boundary_loss: 0.012718 (0.012815) Loss: 0.099272 (0.13591) +2025-08-25,00:49:56 | INFO | Train Epoch: 12 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.10152 (0.12300) Boundary_loss: 0.012765 (0.012814) Loss: 0.11429 (0.13581) +2025-08-25,00:50:55 | INFO | Train Epoch: 12 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.13948 (0.12307) Boundary_loss: 0.012832 (0.012815) Loss: 0.15231 (0.13589) +2025-08-25,00:51:53 | INFO | Train Epoch: 12 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.12969 (0.12311) Boundary_loss: 0.012818 (0.012815) Loss: 0.14251 (0.13592) +2025-08-25,00:52:52 | INFO | Train Epoch: 12 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.10305 (0.12301) Boundary_loss: 0.012787 (0.012814) Loss: 0.11584 (0.13583) +2025-08-25,00:53:51 | INFO | Train Epoch: 12 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.037 Boundary Ratio: 0.097 Contrastive_loss: 0.14885 (0.12313) Boundary_loss: 0.012795 (0.012814) Loss: 0.16164 (0.13595) +2025-08-25,00:54:49 | INFO | Train Epoch: 12 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.11004 (0.12307) Boundary_loss: 0.012851 (0.012814) Loss: 0.12289 (0.13589) +2025-08-25,00:55:48 | INFO | Train Epoch: 12 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.605 Boundary Ratio: 0.100 Contrastive_loss: 0.12204 (0.12307) Boundary_loss: 0.012861 (0.012815) Loss: 0.13490 (0.13588) +2025-08-25,00:56:46 | INFO | Train Epoch: 12 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.12832 (0.12309) Boundary_loss: 0.012771 (0.012814) Loss: 0.14109 (0.13591) +2025-08-25,00:57:45 | INFO | Train Epoch: 12 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.13337 (0.12314) Boundary_loss: 0.012893 (0.012815) Loss: 0.14626 (0.13595) +2025-08-25,00:58:44 | INFO | Train Epoch: 12 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.13396 (0.12319) Boundary_loss: 0.012787 (0.012815) Loss: 0.14674 (0.13600) +2025-08-25,00:59:42 | INFO | Train Epoch: 12 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.11385 (0.12315) Boundary_loss: 0.012832 (0.012815) Loss: 0.12668 (0.13596) +2025-08-25,01:00:41 | INFO | Train Epoch: 12 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.092580 (0.12301) Boundary_loss: 0.012864 (0.012815) Loss: 0.10544 (0.13582) +2025-08-25,01:01:39 | INFO | Train Epoch: 12 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.095510 (0.12288) Boundary_loss: 0.012926 (0.012816) Loss: 0.10844 (0.13570) +2025-08-25,01:02:38 | INFO | Train Epoch: 12 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.15388 (0.12302) Boundary_loss: 0.012805 (0.012815) Loss: 0.16668 (0.13584) +2025-08-25,01:03:37 | INFO | Train Epoch: 12 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.10718 (0.12295) Boundary_loss: 0.012842 (0.012816) Loss: 0.12003 (0.13577) +2025-08-25,01:04:35 | INFO | Train Epoch: 12 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.10119 (0.12285) Boundary_loss: 0.012715 (0.012815) Loss: 0.11390 (0.13567) +2025-08-25,01:05:34 | INFO | Train Epoch: 12 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.092700 (0.12272) Boundary_loss: 0.012741 (0.012815) Loss: 0.10544 (0.13553) +2025-08-25,01:06:33 | INFO | Train Epoch: 12 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.10065 (0.12262) Boundary_loss: 0.012898 (0.012815) Loss: 0.11355 (0.13543) +2025-08-25,01:07:31 | INFO | Train Epoch: 12 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.16080 (0.12279) Boundary_loss: 0.012786 (0.012815) Loss: 0.17359 (0.13560) +2025-08-25,01:08:30 | INFO | Train Epoch: 12 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.12086 (0.12278) Boundary_loss: 0.012776 (0.012815) Loss: 0.13364 (0.13559) +2025-08-25,01:09:28 | INFO | Train Epoch: 12 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.10719 (0.12271) Boundary_loss: 0.012819 (0.012815) Loss: 0.12001 (0.13553) +2025-08-25,01:10:27 | INFO | Train Epoch: 12 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.14288 (0.12280) Boundary_loss: 0.012693 (0.012814) Loss: 0.15557 (0.13561) +2025-08-25,01:11:26 | INFO | Train Epoch: 12 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.11944 (0.12278) Boundary_loss: 0.012804 (0.012814) Loss: 0.13224 (0.13560) +2025-08-25,01:12:24 | INFO | Train Epoch: 12 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.15362 (0.12292) Boundary_loss: 0.012837 (0.012814) Loss: 0.16645 (0.13573) +2025-08-25,01:13:23 | INFO | Train Epoch: 12 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.10274 (0.12283) Boundary_loss: 0.012825 (0.012814) Loss: 0.11556 (0.13565) +2025-08-25,01:14:22 | INFO | Train Epoch: 12 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.11088 (0.12278) Boundary_loss: 0.012801 (0.012814) Loss: 0.12368 (0.13559) +2025-08-25,01:15:20 | INFO | Train Epoch: 12 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.566 Boundary Ratio: 0.100 Contrastive_loss: 0.12836 (0.12280) Boundary_loss: 0.012832 (0.012814) Loss: 0.14119 (0.13562) +2025-08-25,01:16:19 | INFO | Train Epoch: 12 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.094692 (0.12268) Boundary_loss: 0.012826 (0.012815) Loss: 0.10752 (0.13550) +2025-08-25,01:17:18 | INFO | Train Epoch: 12 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.094008 (0.12256) Boundary_loss: 0.012746 (0.012814) Loss: 0.10675 (0.13538) +2025-08-25,01:18:16 | INFO | Train Epoch: 12 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.087312 (0.12241) Boundary_loss: 0.012813 (0.012814) Loss: 0.10013 (0.13523) +2025-08-25,01:19:15 | INFO | Train Epoch: 12 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.098585 (0.12231) Boundary_loss: 0.012869 (0.012814) Loss: 0.11145 (0.13513) +2025-08-25,01:20:13 | INFO | Train Epoch: 12 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.11643 (0.12229) Boundary_loss: 0.012905 (0.012815) Loss: 0.12934 (0.13510) +2025-08-25,01:21:12 | INFO | Train Epoch: 12 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.584 Boundary Ratio: 0.100 Contrastive_loss: 0.087234 (0.12214) Boundary_loss: 0.012815 (0.012815) Loss: 0.10005 (0.13495) +2025-08-25,01:22:11 | INFO | Train Epoch: 12 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.10440 (0.12207) Boundary_loss: 0.012825 (0.012815) Loss: 0.11722 (0.13488) +2025-08-25,01:23:09 | INFO | Train Epoch: 12 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.10889 (0.12201) Boundary_loss: 0.012777 (0.012815) Loss: 0.12167 (0.13483) +2025-08-25,01:24:08 | INFO | Train Epoch: 12 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.095983 (0.12190) Boundary_loss: 0.012748 (0.012814) Loss: 0.10873 (0.13472) +2025-08-25,01:25:06 | INFO | Train Epoch: 12 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.094060 (0.12179) Boundary_loss: 0.012948 (0.012815) Loss: 0.10701 (0.13460) +2025-08-25,01:26:05 | INFO | Train Epoch: 12 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.13415 (0.12184) Boundary_loss: 0.012779 (0.012815) Loss: 0.14693 (0.13465) +2025-08-25,01:27:04 | INFO | Train Epoch: 12 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.12227 (0.12184) Boundary_loss: 0.012830 (0.012815) Loss: 0.13510 (0.13466) +2025-08-25,01:28:02 | INFO | Train Epoch: 12 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.13001 (0.12187) Boundary_loss: 0.012846 (0.012815) Loss: 0.14286 (0.13469) +2025-08-25,01:29:01 | INFO | Train Epoch: 12 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.14713 (0.12198) Boundary_loss: 0.012760 (0.012815) Loss: 0.15989 (0.13479) +2025-08-25,01:29:59 | INFO | Train Epoch: 12 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.10858 (0.12192) Boundary_loss: 0.012803 (0.012815) Loss: 0.12139 (0.13474) +2025-08-25,01:30:58 | INFO | Train Epoch: 12 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.10446 (0.12185) Boundary_loss: 0.012731 (0.012814) Loss: 0.11719 (0.13467) +2025-08-25,01:31:57 | INFO | Train Epoch: 12 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.11816 (0.12184) Boundary_loss: 0.012806 (0.012814) Loss: 0.13097 (0.13465) +2025-08-25,01:32:55 | INFO | Train Epoch: 12 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.12792 (0.12186) Boundary_loss: 0.012743 (0.012814) Loss: 0.14067 (0.13468) +2025-08-25,01:33:54 | INFO | Train Epoch: 12 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.074 Boundary Ratio: 0.097 Contrastive_loss: 0.13572 (0.12192) Boundary_loss: 0.012813 (0.012814) Loss: 0.14854 (0.13473) +2025-08-25,01:34:53 | INFO | Train Epoch: 12 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.10281 (0.12184) Boundary_loss: 0.012715 (0.012814) Loss: 0.11552 (0.13466) +2025-08-25,01:35:51 | INFO | Train Epoch: 12 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.13356 (0.12189) Boundary_loss: 0.012853 (0.012814) Loss: 0.14641 (0.13470) +2025-08-25,01:36:50 | INFO | Train Epoch: 12 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.15026 (0.12200) Boundary_loss: 0.012826 (0.012814) Loss: 0.16309 (0.13481) +2025-08-25,01:37:48 | INFO | Train Epoch: 12 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.11110 (0.12196) Boundary_loss: 0.012904 (0.012814) Loss: 0.12401 (0.13477) +2025-08-25,01:38:47 | INFO | Train Epoch: 12 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.16230 (0.12211) Boundary_loss: 0.012709 (0.012814) Loss: 0.17501 (0.13493) +2025-08-25,01:39:46 | INFO | Train Epoch: 12 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.12713 (0.12213) Boundary_loss: 0.012824 (0.012814) Loss: 0.13995 (0.13495) +2025-08-25,01:40:44 | INFO | Train Epoch: 12 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.10588 (0.12207) Boundary_loss: 0.012754 (0.012814) Loss: 0.11863 (0.13488) +2025-08-25,01:41:43 | INFO | Train Epoch: 12 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.12092 (0.12207) Boundary_loss: 0.012822 (0.012814) Loss: 0.13374 (0.13488) +2025-08-25,01:42:41 | INFO | Train Epoch: 12 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.12693 (0.12208) Boundary_loss: 0.012750 (0.012813) Loss: 0.13968 (0.13490) +2025-08-25,01:43:40 | INFO | Train Epoch: 12 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.13358 (0.12213) Boundary_loss: 0.012765 (0.012813) Loss: 0.14634 (0.13494) +2025-08-25,01:44:39 | INFO | Train Epoch: 12 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.436 Boundary Ratio: 0.099 Contrastive_loss: 0.14018 (0.12220) Boundary_loss: 0.012779 (0.012813) Loss: 0.15296 (0.13501) +2025-08-25,01:45:37 | INFO | Train Epoch: 12 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.12781 (0.12222) Boundary_loss: 0.012712 (0.012813) Loss: 0.14053 (0.13503) +2025-08-25,01:46:36 | INFO | Train Epoch: 12 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.099132 (0.12213) Boundary_loss: 0.012810 (0.012813) Loss: 0.11194 (0.13494) +2025-08-25,01:47:34 | INFO | Train Epoch: 12 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.12271 (0.12213) Boundary_loss: 0.012843 (0.012813) Loss: 0.13555 (0.13495) +2025-08-25,01:48:33 | INFO | Train Epoch: 12 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.15357 (0.12225) Boundary_loss: 0.012843 (0.012813) Loss: 0.16641 (0.13506) +2025-08-25,01:49:32 | INFO | Train Epoch: 12 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.14522 (0.12234) Boundary_loss: 0.012749 (0.012813) Loss: 0.15797 (0.13515) +2025-08-25,01:50:30 | INFO | Train Epoch: 12 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.10017 (0.12225) Boundary_loss: 0.012825 (0.012813) Loss: 0.11299 (0.13507) +2025-08-25,01:51:29 | INFO | Train Epoch: 12 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.13181 (0.12229) Boundary_loss: 0.012830 (0.012813) Loss: 0.14464 (0.13510) +2025-08-25,01:52:27 | INFO | Train Epoch: 12 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.10953 (0.12224) Boundary_loss: 0.012819 (0.012813) Loss: 0.12235 (0.13506) +2025-08-25,01:53:26 | INFO | Train Epoch: 12 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.11983 (0.12223) Boundary_loss: 0.012837 (0.012813) Loss: 0.13267 (0.13505) +2025-08-25,01:54:24 | INFO | Train Epoch: 12 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.12063 (0.12223) Boundary_loss: 0.012810 (0.012813) Loss: 0.13344 (0.13504) +2025-08-25,01:55:23 | INFO | Train Epoch: 12 [13978112/26365952 (53%)] Avg Boundaries (per batch): 18.961 Boundary Ratio: 0.097 Contrastive_loss: 0.095793 (0.12213) Boundary_loss: 0.012770 (0.012813) Loss: 0.10856 (0.13494) +2025-08-25,01:56:22 | INFO | Train Epoch: 12 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.098237 (0.12204) Boundary_loss: 0.012825 (0.012813) Loss: 0.11106 (0.13486) +2025-08-25,01:57:20 | INFO | Train Epoch: 12 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.14495 (0.12213) Boundary_loss: 0.012824 (0.012813) Loss: 0.15777 (0.13494) +2025-08-25,01:58:19 | INFO | Train Epoch: 12 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.12885 (0.12215) Boundary_loss: 0.012879 (0.012813) Loss: 0.14173 (0.13496) +2025-08-25,01:59:18 | INFO | Train Epoch: 12 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.093469 (0.12205) Boundary_loss: 0.012820 (0.012813) Loss: 0.10629 (0.13486) +2025-08-25,02:00:16 | INFO | Train Epoch: 12 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.11668 (0.12203) Boundary_loss: 0.012778 (0.012813) Loss: 0.12946 (0.13484) +2025-08-25,02:01:15 | INFO | Train Epoch: 12 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.12559 (0.12204) Boundary_loss: 0.012855 (0.012813) Loss: 0.13845 (0.13486) +2025-08-25,02:02:13 | INFO | Train Epoch: 12 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.13562 (0.12209) Boundary_loss: 0.012814 (0.012813) Loss: 0.14843 (0.13490) +2025-08-25,02:03:12 | INFO | Train Epoch: 12 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.13322 (0.12213) Boundary_loss: 0.012750 (0.012813) Loss: 0.14597 (0.13494) +2025-08-25,02:04:10 | INFO | Train Epoch: 12 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.12573 (0.12214) Boundary_loss: 0.012804 (0.012813) Loss: 0.13853 (0.13496) +2025-08-25,02:05:09 | INFO | Train Epoch: 12 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.11414 (0.12211) Boundary_loss: 0.012834 (0.012813) Loss: 0.12698 (0.13493) +2025-08-25,02:06:08 | INFO | Train Epoch: 12 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.13257 (0.12215) Boundary_loss: 0.012779 (0.012813) Loss: 0.14535 (0.13496) +2025-08-25,02:07:06 | INFO | Train Epoch: 12 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.086814 (0.12203) Boundary_loss: 0.012871 (0.012813) Loss: 0.099684 (0.13484) +2025-08-25,02:08:05 | INFO | Train Epoch: 12 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.088148 (0.12191) Boundary_loss: 0.012907 (0.012813) Loss: 0.10106 (0.13472) +2025-08-25,02:09:03 | INFO | Train Epoch: 12 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.11798 (0.12190) Boundary_loss: 0.012897 (0.012814) Loss: 0.13088 (0.13471) +2025-08-25,02:10:02 | INFO | Train Epoch: 12 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.11163 (0.12186) Boundary_loss: 0.012888 (0.012814) Loss: 0.12452 (0.13467) +2025-08-25,02:11:01 | INFO | Train Epoch: 12 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.11390 (0.12183) Boundary_loss: 0.012830 (0.012814) Loss: 0.12673 (0.13465) +2025-08-25,02:11:59 | INFO | Train Epoch: 12 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.099300 (0.12176) Boundary_loss: 0.012683 (0.012814) Loss: 0.11198 (0.13457) +2025-08-25,02:12:58 | INFO | Train Epoch: 12 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.11114 (0.12172) Boundary_loss: 0.012771 (0.012813) Loss: 0.12391 (0.13453) +2025-08-25,02:13:56 | INFO | Train Epoch: 12 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.12810 (0.12174) Boundary_loss: 0.012778 (0.012813) Loss: 0.14087 (0.13455) +2025-08-25,02:14:55 | INFO | Train Epoch: 12 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.13160 (0.12177) Boundary_loss: 0.012824 (0.012813) Loss: 0.14443 (0.13459) +2025-08-25,02:15:54 | INFO | Train Epoch: 12 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.15473 (0.12189) Boundary_loss: 0.012883 (0.012814) Loss: 0.16761 (0.13470) +2025-08-25,02:16:52 | INFO | Train Epoch: 12 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.10246 (0.12182) Boundary_loss: 0.012792 (0.012813) Loss: 0.11526 (0.13463) +2025-08-25,02:17:51 | INFO | Train Epoch: 12 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.11766 (0.12181) Boundary_loss: 0.012849 (0.012814) Loss: 0.13051 (0.13462) +2025-08-25,02:18:49 | INFO | Train Epoch: 12 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.074757 (0.12165) Boundary_loss: 0.012848 (0.012814) Loss: 0.087604 (0.13446) +2025-08-25,02:19:48 | INFO | Train Epoch: 12 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.13240 (0.12168) Boundary_loss: 0.012861 (0.012814) Loss: 0.14526 (0.13450) +2025-08-25,02:20:47 | INFO | Train Epoch: 12 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.12690 (0.12170) Boundary_loss: 0.012872 (0.012814) Loss: 0.13977 (0.13452) +2025-08-25,02:21:45 | INFO | Train Epoch: 12 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.12290 (0.12171) Boundary_loss: 0.012826 (0.012814) Loss: 0.13573 (0.13452) +2025-08-25,02:22:44 | INFO | Train Epoch: 12 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.10935 (0.12166) Boundary_loss: 0.012819 (0.012814) Loss: 0.12216 (0.13448) +2025-08-25,02:23:42 | INFO | Train Epoch: 12 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.13895 (0.12172) Boundary_loss: 0.012826 (0.012814) Loss: 0.15178 (0.13454) +2025-08-25,02:24:41 | INFO | Train Epoch: 12 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.11307 (0.12169) Boundary_loss: 0.012921 (0.012814) Loss: 0.12599 (0.13451) +2025-08-25,02:25:40 | INFO | Train Epoch: 12 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.12967 (0.12172) Boundary_loss: 0.012849 (0.012815) Loss: 0.14252 (0.13453) +2025-08-25,02:26:38 | INFO | Train Epoch: 12 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.087293 (0.12161) Boundary_loss: 0.012816 (0.012815) Loss: 0.10011 (0.13442) +2025-08-25,02:27:37 | INFO | Train Epoch: 12 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.12966 (0.12163) Boundary_loss: 0.012828 (0.012815) Loss: 0.14249 (0.13445) +2025-08-25,02:28:35 | INFO | Train Epoch: 12 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.12031 (0.12163) Boundary_loss: 0.012870 (0.012815) Loss: 0.13318 (0.13444) +2025-08-25,02:29:34 | INFO | Train Epoch: 12 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.13120 (0.12166) Boundary_loss: 0.012811 (0.012815) Loss: 0.14401 (0.13447) +2025-08-25,02:30:33 | INFO | Train Epoch: 12 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.11352 (0.12163) Boundary_loss: 0.012915 (0.012815) Loss: 0.12643 (0.13445) +2025-08-25,02:31:31 | INFO | Train Epoch: 12 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.17532 (0.12181) Boundary_loss: 0.012814 (0.012815) Loss: 0.18813 (0.13462) +2025-08-25,02:32:30 | INFO | Train Epoch: 12 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.15075 (0.12190) Boundary_loss: 0.012882 (0.012815) Loss: 0.16363 (0.13471) +2025-08-25,02:33:29 | INFO | Train Epoch: 12 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.14341 (0.12197) Boundary_loss: 0.012860 (0.012816) Loss: 0.15627 (0.13478) +2025-08-25,02:34:27 | INFO | Train Epoch: 12 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.080105 (0.12183) Boundary_loss: 0.012837 (0.012816) Loss: 0.092942 (0.13465) +2025-08-25,02:35:26 | INFO | Train Epoch: 12 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.12396 (0.12184) Boundary_loss: 0.012797 (0.012816) Loss: 0.13675 (0.13466) +2025-08-25,02:36:25 | INFO | Train Epoch: 12 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.096945 (0.12176) Boundary_loss: 0.012824 (0.012816) Loss: 0.10977 (0.13458) +2025-08-25,02:37:23 | INFO | Train Epoch: 12 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.10901 (0.12172) Boundary_loss: 0.012810 (0.012816) Loss: 0.12182 (0.13454) +2025-08-25,02:38:22 | INFO | Train Epoch: 12 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.12145 (0.12172) Boundary_loss: 0.012777 (0.012815) Loss: 0.13423 (0.13454) +2025-08-25,02:39:20 | INFO | Train Epoch: 12 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.12824 (0.12174) Boundary_loss: 0.012825 (0.012815) Loss: 0.14107 (0.13456) +2025-08-25,02:40:19 | INFO | Train Epoch: 12 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.10163 (0.12168) Boundary_loss: 0.012776 (0.012815) Loss: 0.11440 (0.13449) +2025-08-25,02:41:18 | INFO | Train Epoch: 12 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.11400 (0.12166) Boundary_loss: 0.012780 (0.012815) Loss: 0.12678 (0.13447) +2025-08-25,02:42:16 | INFO | Train Epoch: 12 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.13516 (0.12170) Boundary_loss: 0.012751 (0.012815) Loss: 0.14791 (0.13451) +2025-08-25,02:43:15 | INFO | Train Epoch: 12 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.096089 (0.12162) Boundary_loss: 0.012799 (0.012815) Loss: 0.10889 (0.13443) +2025-08-25,02:44:14 | INFO | Train Epoch: 12 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.072 Boundary Ratio: 0.097 Contrastive_loss: 0.10768 (0.12157) Boundary_loss: 0.012745 (0.012815) Loss: 0.12042 (0.13439) +2025-08-25,02:45:12 | INFO | Train Epoch: 12 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.13483 (0.12162) Boundary_loss: 0.012771 (0.012815) Loss: 0.14760 (0.13443) +2025-08-25,02:46:11 | INFO | Train Epoch: 12 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.096238 (0.12154) Boundary_loss: 0.012769 (0.012814) Loss: 0.10901 (0.13435) +2025-08-25,02:47:10 | INFO | Train Epoch: 12 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.13742 (0.12159) Boundary_loss: 0.012728 (0.012814) Loss: 0.15015 (0.13440) +2025-08-25,02:48:08 | INFO | Train Epoch: 12 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.083631 (0.12147) Boundary_loss: 0.012801 (0.012814) Loss: 0.096432 (0.13428) +2025-08-25,02:49:07 | INFO | Train Epoch: 12 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.11909 (0.12146) Boundary_loss: 0.012875 (0.012814) Loss: 0.13196 (0.13428) +2025-08-25,02:50:06 | INFO | Train Epoch: 12 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.094606 (0.12138) Boundary_loss: 0.012786 (0.012814) Loss: 0.10739 (0.13420) +2025-08-25,02:51:04 | INFO | Train Epoch: 12 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.11485 (0.12136) Boundary_loss: 0.012902 (0.012815) Loss: 0.12776 (0.13418) +2025-08-25,02:52:03 | INFO | Train Epoch: 12 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.13563 (0.12141) Boundary_loss: 0.012766 (0.012814) Loss: 0.14840 (0.13422) +2025-08-25,02:53:02 | INFO | Train Epoch: 12 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.12537 (0.12142) Boundary_loss: 0.012779 (0.012814) Loss: 0.13814 (0.13423) +2025-08-25,02:54:00 | INFO | Train Epoch: 12 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.11834 (0.12141) Boundary_loss: 0.012820 (0.012814) Loss: 0.13116 (0.13422) +2025-08-25,02:54:59 | INFO | Train Epoch: 12 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.19694 (0.12163) Boundary_loss: 0.012736 (0.012814) Loss: 0.20968 (0.13445) +2025-08-25,02:55:58 | INFO | Train Epoch: 12 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.087341 (0.12153) Boundary_loss: 0.012763 (0.012814) Loss: 0.10010 (0.13435) +2025-08-25,02:56:56 | INFO | Train Epoch: 12 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.086922 (0.12143) Boundary_loss: 0.012778 (0.012814) Loss: 0.099700 (0.13424) +2025-08-25,02:57:55 | INFO | Train Epoch: 12 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.12855 (0.12145) Boundary_loss: 0.012832 (0.012814) Loss: 0.14139 (0.13426) +2025-08-25,02:58:53 | INFO | Train Epoch: 12 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.11557 (0.12143) Boundary_loss: 0.012843 (0.012814) Loss: 0.12841 (0.13425) +2025-08-25,02:59:52 | INFO | Train Epoch: 12 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.11063 (0.12140) Boundary_loss: 0.012811 (0.012814) Loss: 0.12344 (0.13421) +2025-08-25,03:00:51 | INFO | Train Epoch: 12 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.10418 (0.12135) Boundary_loss: 0.012919 (0.012814) Loss: 0.11710 (0.13416) +2025-08-25,03:01:49 | INFO | Train Epoch: 12 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.11611 (0.12133) Boundary_loss: 0.012832 (0.012814) Loss: 0.12894 (0.13415) +2025-08-25,03:02:48 | INFO | Train Epoch: 12 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.11518 (0.12132) Boundary_loss: 0.012838 (0.012814) Loss: 0.12802 (0.13413) +2025-08-25,03:03:46 | INFO | Train Epoch: 12 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.12487 (0.12133) Boundary_loss: 0.012826 (0.012814) Loss: 0.13770 (0.13414) +2025-08-25,03:04:45 | INFO | Train Epoch: 12 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.12274 (0.12133) Boundary_loss: 0.012889 (0.012815) Loss: 0.13563 (0.13415) +2025-08-25,03:05:44 | INFO | Train Epoch: 12 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.11591 (0.12132) Boundary_loss: 0.012889 (0.012815) Loss: 0.12880 (0.13413) +2025-08-25,03:06:42 | INFO | Train Epoch: 12 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.11709 (0.12130) Boundary_loss: 0.012887 (0.012815) Loss: 0.12997 (0.13412) +2025-08-25,03:07:41 | INFO | Train Epoch: 12 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.10780 (0.12126) Boundary_loss: 0.012791 (0.012815) Loss: 0.12060 (0.13408) +2025-08-25,03:08:40 | INFO | Train Epoch: 12 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.091150 (0.12118) Boundary_loss: 0.012813 (0.012815) Loss: 0.10396 (0.13399) +2025-08-25,03:09:38 | INFO | Train Epoch: 12 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.085221 (0.12108) Boundary_loss: 0.012785 (0.012815) Loss: 0.098006 (0.13389) +2025-08-25,03:10:37 | INFO | Train Epoch: 12 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.14724 (0.12115) Boundary_loss: 0.012913 (0.012815) Loss: 0.16015 (0.13397) +2025-08-25,03:11:36 | INFO | Train Epoch: 12 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.518 Boundary Ratio: 0.100 Contrastive_loss: 0.11924 (0.12114) Boundary_loss: 0.012819 (0.012815) Loss: 0.13206 (0.13396) +2025-08-25,03:12:34 | INFO | Train Epoch: 12 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.094284 (0.12107) Boundary_loss: 0.012767 (0.012815) Loss: 0.10705 (0.13388) +2025-08-25,03:13:33 | INFO | Train Epoch: 12 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.083833 (0.12096) Boundary_loss: 0.012774 (0.012815) Loss: 0.096607 (0.13378) +2025-08-25,03:14:32 | INFO | Train Epoch: 12 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.12038 (0.12096) Boundary_loss: 0.012767 (0.012815) Loss: 0.13314 (0.13378) +2025-08-25,03:15:30 | INFO | Train Epoch: 12 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.090228 (0.12088) Boundary_loss: 0.012824 (0.012815) Loss: 0.10305 (0.13369) +2025-08-25,03:16:29 | INFO | Train Epoch: 12 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.12221 (0.12088) Boundary_loss: 0.012717 (0.012815) Loss: 0.13493 (0.13369) +2025-08-25,03:17:28 | INFO | Train Epoch: 12 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.12502 (0.12089) Boundary_loss: 0.012706 (0.012814) Loss: 0.13772 (0.13370) +2025-08-25,03:18:26 | INFO | Train Epoch: 12 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.12565 (0.12090) Boundary_loss: 0.012825 (0.012814) Loss: 0.13848 (0.13372) +2025-08-25,03:19:25 | INFO | Train Epoch: 12 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.13103 (0.12093) Boundary_loss: 0.012932 (0.012815) Loss: 0.14397 (0.13375) +2025-08-25,03:20:23 | INFO | Train Epoch: 12 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.14487 (0.12100) Boundary_loss: 0.012774 (0.012814) Loss: 0.15765 (0.13381) +2025-08-25,03:21:22 | INFO | Train Epoch: 12 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.11286 (0.12098) Boundary_loss: 0.012800 (0.012814) Loss: 0.12566 (0.13379) +2025-08-25,03:22:21 | INFO | Train Epoch: 12 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.11496 (0.12096) Boundary_loss: 0.012814 (0.012814) Loss: 0.12777 (0.13377) +2025-08-25,03:23:19 | INFO | Train Epoch: 12 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.081527 (0.12085) Boundary_loss: 0.012861 (0.012815) Loss: 0.094387 (0.13367) +2025-08-25,03:24:18 | INFO | Train Epoch: 12 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.10277 (0.12080) Boundary_loss: 0.012823 (0.012815) Loss: 0.11559 (0.13362) +2025-08-25,03:25:17 | INFO | Train Epoch: 12 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.11316 (0.12078) Boundary_loss: 0.012812 (0.012815) Loss: 0.12598 (0.13360) +2025-08-25,03:26:15 | INFO | Train Epoch: 12 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.15092 (0.12086) Boundary_loss: 0.012799 (0.012815) Loss: 0.16371 (0.13368) +2025-08-25,03:27:14 | INFO | Train Epoch: 12 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.11294 (0.12084) Boundary_loss: 0.012842 (0.012815) Loss: 0.12579 (0.13366) +2025-08-25,03:28:13 | INFO | Train Epoch: 12 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.10764 (0.12081) Boundary_loss: 0.012783 (0.012815) Loss: 0.12042 (0.13362) +2025-08-25,03:29:11 | INFO | Train Epoch: 12 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.16034 (0.12091) Boundary_loss: 0.012822 (0.012815) Loss: 0.17317 (0.13373) +2025-08-25,03:30:10 | INFO | Train Epoch: 12 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.14050 (0.12097) Boundary_loss: 0.012743 (0.012814) Loss: 0.15324 (0.13378) +2025-08-25,03:31:08 | INFO | Train Epoch: 12 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.12625 (0.12098) Boundary_loss: 0.012809 (0.012814) Loss: 0.13906 (0.13379) +2025-08-25,03:32:07 | INFO | Train Epoch: 12 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.12949 (0.12100) Boundary_loss: 0.012825 (0.012814) Loss: 0.14231 (0.13382) +2025-08-25,03:33:06 | INFO | Train Epoch: 12 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.000 Boundary Ratio: 0.097 Contrastive_loss: 0.14757 (0.12107) Boundary_loss: 0.012780 (0.012814) Loss: 0.16035 (0.13389) +2025-08-25,03:34:04 | INFO | Train Epoch: 12 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.11498 (0.12106) Boundary_loss: 0.012769 (0.012814) Loss: 0.12774 (0.13387) +2025-08-25,03:35:03 | INFO | Train Epoch: 12 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.082831 (0.12096) Boundary_loss: 0.012742 (0.012814) Loss: 0.095573 (0.13377) +2025-08-25,03:36:02 | INFO | Train Epoch: 12 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.045 Boundary Ratio: 0.097 Contrastive_loss: 0.11695 (0.12094) Boundary_loss: 0.012742 (0.012814) Loss: 0.12970 (0.13376) +2025-08-25,03:37:00 | INFO | Train Epoch: 12 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.13000 (0.12097) Boundary_loss: 0.012966 (0.012814) Loss: 0.14296 (0.13378) +2025-08-25,03:37:59 | INFO | Train Epoch: 12 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.083375 (0.12087) Boundary_loss: 0.012851 (0.012814) Loss: 0.096227 (0.13368) +2025-08-25,03:38:58 | INFO | Train Epoch: 12 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.085332 (0.12078) Boundary_loss: 0.012879 (0.012814) Loss: 0.098211 (0.13359) +2025-08-25,03:39:56 | INFO | Train Epoch: 12 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.12451 (0.12079) Boundary_loss: 0.012799 (0.012814) Loss: 0.13731 (0.13360) +2025-08-25,03:40:55 | INFO | Train Epoch: 12 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.11354 (0.12077) Boundary_loss: 0.012920 (0.012815) Loss: 0.12646 (0.13358) +2025-08-25,03:41:53 | INFO | Train Epoch: 12 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.12681 (0.12078) Boundary_loss: 0.012883 (0.012815) Loss: 0.13970 (0.13360) +2025-08-25,03:42:52 | INFO | Train Epoch: 12 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.17561 (0.12093) Boundary_loss: 0.012754 (0.012815) Loss: 0.18836 (0.13374) +2025-08-25,03:43:51 | INFO | Train Epoch: 12 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.10654 (0.12089) Boundary_loss: 0.012764 (0.012815) Loss: 0.11930 (0.13370) +2025-08-25,03:44:49 | INFO | Train Epoch: 12 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.11229 (0.12087) Boundary_loss: 0.012750 (0.012814) Loss: 0.12504 (0.13368) +2025-08-25,03:45:48 | INFO | Train Epoch: 12 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.075245 (0.12075) Boundary_loss: 0.012808 (0.012814) Loss: 0.088053 (0.13356) +2025-08-25,03:46:47 | INFO | Train Epoch: 12 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.11058 (0.12072) Boundary_loss: 0.012857 (0.012814) Loss: 0.12344 (0.13354) +2025-08-25,03:47:45 | INFO | Train Epoch: 12 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.11244 (0.12070) Boundary_loss: 0.012807 (0.012814) Loss: 0.12524 (0.13351) +2025-08-25,03:48:44 | INFO | Train Epoch: 12 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.088993 (0.12062) Boundary_loss: 0.012766 (0.012814) Loss: 0.10176 (0.13343) +2025-08-25,03:49:42 | INFO | Train Epoch: 12 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.11007 (0.12059) Boundary_loss: 0.012856 (0.012814) Loss: 0.12293 (0.13341) +2025-08-25,03:50:41 | INFO | Train Epoch: 12 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.17504 (0.12073) Boundary_loss: 0.012878 (0.012815) Loss: 0.18792 (0.13355) +2025-08-25,03:51:40 | INFO | Train Epoch: 12 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.13284 (0.12076) Boundary_loss: 0.012823 (0.012815) Loss: 0.14566 (0.13358) +2025-08-25,03:52:38 | INFO | Train Epoch: 12 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.11386 (0.12074) Boundary_loss: 0.012795 (0.012815) Loss: 0.12666 (0.13356) +2025-08-25,03:53:37 | INFO | Train Epoch: 12 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.096010 (0.12068) Boundary_loss: 0.012751 (0.012814) Loss: 0.10876 (0.13350) +2025-08-25,03:54:36 | INFO | Train Epoch: 12 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.12246 (0.12069) Boundary_loss: 0.012731 (0.012814) Loss: 0.13519 (0.13350) +2025-08-25,03:55:34 | INFO | Train Epoch: 12 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.11670 (0.12068) Boundary_loss: 0.012841 (0.012814) Loss: 0.12954 (0.13349) +2025-08-25,03:56:33 | INFO | Train Epoch: 12 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.13561 (0.12071) Boundary_loss: 0.012858 (0.012814) Loss: 0.14846 (0.13353) +2025-08-25,03:57:31 | INFO | Train Epoch: 12 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.13631 (0.12075) Boundary_loss: 0.012815 (0.012814) Loss: 0.14913 (0.13357) +2025-08-25,03:58:30 | INFO | Train Epoch: 12 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.084212 (0.12066) Boundary_loss: 0.012901 (0.012815) Loss: 0.097114 (0.13348) +2025-08-25,03:59:29 | INFO | Train Epoch: 12 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.13514 (0.12070) Boundary_loss: 0.012871 (0.012815) Loss: 0.14801 (0.13351) +2025-08-25,04:00:27 | INFO | Train Epoch: 12 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.098135 (0.12064) Boundary_loss: 0.012774 (0.012815) Loss: 0.11091 (0.13346) +2025-08-25,04:01:26 | INFO | Train Epoch: 12 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.15009 (0.12071) Boundary_loss: 0.012740 (0.012814) Loss: 0.16283 (0.13353) +2025-08-25,04:02:25 | INFO | Train Epoch: 12 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.11730 (0.12071) Boundary_loss: 0.012695 (0.012814) Loss: 0.12999 (0.13352) +2025-08-25,04:03:23 | INFO | Train Epoch: 12 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.11007 (0.12068) Boundary_loss: 0.012815 (0.012814) Loss: 0.12289 (0.13349) +2025-08-25,04:04:22 | INFO | Train Epoch: 12 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.099909 (0.12063) Boundary_loss: 0.012858 (0.012814) Loss: 0.11277 (0.13344) +2025-08-25,04:05:21 | INFO | Train Epoch: 12 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.17872 (0.12077) Boundary_loss: 0.012870 (0.012814) Loss: 0.19159 (0.13359) +2025-08-25,04:06:19 | INFO | Train Epoch: 12 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.12324 (0.12078) Boundary_loss: 0.012790 (0.012814) Loss: 0.13603 (0.13359) +2025-08-25,04:07:18 | INFO | Train Epoch: 12 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.16776 (0.12089) Boundary_loss: 0.012819 (0.012814) Loss: 0.18058 (0.13371) +2025-08-25,04:08:17 | INFO | Train Epoch: 12 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.12155 (0.12089) Boundary_loss: 0.012869 (0.012814) Loss: 0.13442 (0.13371) +2025-08-25,04:09:15 | INFO | Train Epoch: 12 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.15238 (0.12097) Boundary_loss: 0.012861 (0.012815) Loss: 0.16524 (0.13378) +2025-08-25,04:10:14 | INFO | Train Epoch: 12 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.11274 (0.12095) Boundary_loss: 0.012848 (0.012815) Loss: 0.12559 (0.13377) +2025-08-25,04:11:12 | INFO | Train Epoch: 12 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.091770 (0.12088) Boundary_loss: 0.012833 (0.012815) Loss: 0.10460 (0.13369) +2025-08-25,04:12:11 | INFO | Train Epoch: 12 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.12270 (0.12088) Boundary_loss: 0.012738 (0.012815) Loss: 0.13544 (0.13370) +2025-08-25,04:13:10 | INFO | Train Epoch: 12 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.10038 (0.12083) Boundary_loss: 0.012877 (0.012815) Loss: 0.11326 (0.13365) +2025-08-25,04:14:08 | INFO | Train Epoch: 12 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.16225 (0.12093) Boundary_loss: 0.012784 (0.012815) Loss: 0.17503 (0.13375) +2025-08-25,04:15:07 | INFO | Train Epoch: 12 [21299712/26365952 (81%)] Avg Boundaries (per batch): 18.990 Boundary Ratio: 0.097 Contrastive_loss: 0.19579 (0.12111) Boundary_loss: 0.012784 (0.012815) Loss: 0.20858 (0.13393) +2025-08-25,04:16:06 | INFO | Train Epoch: 12 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.11849 (0.12111) Boundary_loss: 0.012805 (0.012815) Loss: 0.13130 (0.13392) +2025-08-25,04:17:04 | INFO | Train Epoch: 12 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.097607 (0.12105) Boundary_loss: 0.012765 (0.012814) Loss: 0.11037 (0.13387) +2025-08-25,04:18:03 | INFO | Train Epoch: 12 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.16459 (0.12116) Boundary_loss: 0.012832 (0.012814) Loss: 0.17742 (0.13397) +2025-08-25,04:19:01 | INFO | Train Epoch: 12 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.11422 (0.12114) Boundary_loss: 0.012862 (0.012815) Loss: 0.12708 (0.13395) +2025-08-25,04:20:00 | INFO | Train Epoch: 12 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.13957 (0.12118) Boundary_loss: 0.012798 (0.012815) Loss: 0.15237 (0.13400) +2025-08-25,04:20:59 | INFO | Train Epoch: 12 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.12785 (0.12120) Boundary_loss: 0.012705 (0.012814) Loss: 0.14055 (0.13401) +2025-08-25,04:21:57 | INFO | Train Epoch: 12 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.12409 (0.12120) Boundary_loss: 0.012778 (0.012814) Loss: 0.13687 (0.13402) +2025-08-25,04:22:56 | INFO | Train Epoch: 12 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.12082 (0.12120) Boundary_loss: 0.012866 (0.012814) Loss: 0.13368 (0.13402) +2025-08-25,04:23:55 | INFO | Train Epoch: 12 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.12079 (0.12120) Boundary_loss: 0.013022 (0.012815) Loss: 0.13382 (0.13402) +2025-08-25,04:24:53 | INFO | Train Epoch: 12 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.082213 (0.12111) Boundary_loss: 0.012790 (0.012815) Loss: 0.095004 (0.13393) +2025-08-25,04:25:52 | INFO | Train Epoch: 12 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.11137 (0.12109) Boundary_loss: 0.012832 (0.012815) Loss: 0.12420 (0.13390) +2025-08-25,04:26:50 | INFO | Train Epoch: 12 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.11402 (0.12107) Boundary_loss: 0.012763 (0.012815) Loss: 0.12678 (0.13389) +2025-08-25,04:27:49 | INFO | Train Epoch: 12 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.11144 (0.12105) Boundary_loss: 0.012748 (0.012814) Loss: 0.12418 (0.13386) +2025-08-25,04:28:48 | INFO | Train Epoch: 12 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.087706 (0.12097) Boundary_loss: 0.012792 (0.012814) Loss: 0.10050 (0.13379) +2025-08-25,04:29:46 | INFO | Train Epoch: 12 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.11883 (0.12097) Boundary_loss: 0.012876 (0.012815) Loss: 0.13171 (0.13378) +2025-08-25,04:30:45 | INFO | Train Epoch: 12 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.090667 (0.12090) Boundary_loss: 0.012749 (0.012814) Loss: 0.10342 (0.13371) +2025-08-25,04:31:43 | INFO | Train Epoch: 12 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.12539 (0.12091) Boundary_loss: 0.012852 (0.012815) Loss: 0.13824 (0.13372) +2025-08-25,04:32:42 | INFO | Train Epoch: 12 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.12618 (0.12092) Boundary_loss: 0.012725 (0.012814) Loss: 0.13891 (0.13373) +2025-08-25,04:33:41 | INFO | Train Epoch: 12 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.12414 (0.12093) Boundary_loss: 0.012768 (0.012814) Loss: 0.13691 (0.13374) +2025-08-25,04:34:39 | INFO | Train Epoch: 12 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.11644 (0.12092) Boundary_loss: 0.012790 (0.012814) Loss: 0.12923 (0.13373) +2025-08-25,04:35:38 | INFO | Train Epoch: 12 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.14929 (0.12098) Boundary_loss: 0.012791 (0.012814) Loss: 0.16208 (0.13380) +2025-08-25,04:36:37 | INFO | Train Epoch: 12 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.11658 (0.12097) Boundary_loss: 0.012841 (0.012814) Loss: 0.12942 (0.13379) +2025-08-25,04:37:35 | INFO | Train Epoch: 12 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.13791 (0.12101) Boundary_loss: 0.012869 (0.012814) Loss: 0.15077 (0.13382) +2025-08-25,04:38:34 | INFO | Train Epoch: 12 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.079650 (0.12092) Boundary_loss: 0.012811 (0.012814) Loss: 0.092462 (0.13373) +2025-08-25,04:39:32 | INFO | Train Epoch: 12 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.13071 (0.12094) Boundary_loss: 0.012874 (0.012814) Loss: 0.14359 (0.13375) +2025-08-25,04:40:31 | INFO | Train Epoch: 12 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.11019 (0.12091) Boundary_loss: 0.012796 (0.012814) Loss: 0.12298 (0.13373) +2025-08-25,04:41:30 | INFO | Train Epoch: 12 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.10814 (0.12089) Boundary_loss: 0.012868 (0.012814) Loss: 0.12101 (0.13370) +2025-08-25,04:42:28 | INFO | Train Epoch: 12 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.12078 (0.12089) Boundary_loss: 0.012771 (0.012814) Loss: 0.13356 (0.13370) +2025-08-25,04:43:27 | INFO | Train Epoch: 12 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.11880 (0.12088) Boundary_loss: 0.012802 (0.012814) Loss: 0.13160 (0.13370) +2025-08-25,04:44:26 | INFO | Train Epoch: 12 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.12021 (0.12088) Boundary_loss: 0.012837 (0.012814) Loss: 0.13305 (0.13369) +2025-08-25,04:45:24 | INFO | Train Epoch: 12 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.13671 (0.12091) Boundary_loss: 0.012883 (0.012815) Loss: 0.14960 (0.13373) +2025-08-25,04:46:23 | INFO | Train Epoch: 12 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.080486 (0.12082) Boundary_loss: 0.012729 (0.012814) Loss: 0.093215 (0.13364) +2025-08-25,04:47:22 | INFO | Train Epoch: 12 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.083031 (0.12074) Boundary_loss: 0.012825 (0.012814) Loss: 0.095856 (0.13356) +2025-08-25,04:48:20 | INFO | Train Epoch: 12 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.13948 (0.12078) Boundary_loss: 0.012737 (0.012814) Loss: 0.15221 (0.13360) +2025-08-25,04:49:19 | INFO | Train Epoch: 12 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.092 Boundary Ratio: 0.097 Contrastive_loss: 0.10026 (0.12074) Boundary_loss: 0.012782 (0.012814) Loss: 0.11304 (0.13355) +2025-08-25,04:50:18 | INFO | Train Epoch: 12 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.073026 (0.12063) Boundary_loss: 0.012843 (0.012814) Loss: 0.085869 (0.13345) +2025-08-25,04:51:16 | INFO | Train Epoch: 12 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.11688 (0.12062) Boundary_loss: 0.012763 (0.012814) Loss: 0.12965 (0.13344) +2025-08-25,04:52:15 | INFO | Train Epoch: 12 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.13328 (0.12065) Boundary_loss: 0.012731 (0.012814) Loss: 0.14601 (0.13347) +2025-08-25,04:53:14 | INFO | Train Epoch: 12 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.13639 (0.12069) Boundary_loss: 0.012788 (0.012814) Loss: 0.14918 (0.13350) +2025-08-25,04:54:12 | INFO | Train Epoch: 12 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.14344 (0.12074) Boundary_loss: 0.012813 (0.012814) Loss: 0.15625 (0.13355) +2025-08-25,04:55:11 | INFO | Train Epoch: 12 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.12520 (0.12075) Boundary_loss: 0.012865 (0.012814) Loss: 0.13806 (0.13356) +2025-08-25,04:56:09 | INFO | Train Epoch: 12 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.166 Boundary Ratio: 0.098 Contrastive_loss: 0.13695 (0.12078) Boundary_loss: 0.012785 (0.012814) Loss: 0.14974 (0.13359) +2025-08-25,04:57:08 | INFO | Train Epoch: 12 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.432 Boundary Ratio: 0.099 Contrastive_loss: 0.16893 (0.12089) Boundary_loss: 0.012753 (0.012814) Loss: 0.18168 (0.13370) +2025-08-25,04:58:07 | INFO | Train Epoch: 12 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.095054 (0.12083) Boundary_loss: 0.012719 (0.012814) Loss: 0.10777 (0.13364) +2025-08-25,04:59:05 | INFO | Train Epoch: 12 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.12869 (0.12085) Boundary_loss: 0.012735 (0.012813) Loss: 0.14142 (0.13366) +2025-08-25,05:00:04 | INFO | Train Epoch: 12 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.12682 (0.12086) Boundary_loss: 0.012755 (0.012813) Loss: 0.13958 (0.13367) +2025-08-25,05:01:03 | INFO | Train Epoch: 12 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.10200 (0.12082) Boundary_loss: 0.012758 (0.012813) Loss: 0.11476 (0.13363) +2025-08-25,05:02:01 | INFO | Train Epoch: 12 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.055 Boundary Ratio: 0.097 Contrastive_loss: 0.11108 (0.12080) Boundary_loss: 0.012824 (0.012813) Loss: 0.12390 (0.13361) +2025-08-25,05:03:00 | INFO | Train Epoch: 12 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.10244 (0.12076) Boundary_loss: 0.012789 (0.012813) Loss: 0.11523 (0.13357) +2025-08-25,05:03:59 | INFO | Train Epoch: 12 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.099885 (0.12071) Boundary_loss: 0.012759 (0.012813) Loss: 0.11264 (0.13353) +2025-08-25,05:04:57 | INFO | Train Epoch: 12 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.039 Boundary Ratio: 0.097 Contrastive_loss: 0.10449 (0.12068) Boundary_loss: 0.012805 (0.012813) Loss: 0.11730 (0.13349) +2025-08-25,05:05:56 | INFO | Train Epoch: 12 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.12278 (0.12068) Boundary_loss: 0.012811 (0.012813) Loss: 0.13559 (0.13350) +2025-08-25,05:06:54 | INFO | Train Epoch: 12 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.10556 (0.12065) Boundary_loss: 0.012857 (0.012813) Loss: 0.11842 (0.13346) +2025-08-25,05:07:53 | INFO | Train Epoch: 12 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.12712 (0.12066) Boundary_loss: 0.012882 (0.012813) Loss: 0.14000 (0.13348) +2025-08-25,05:08:52 | INFO | Train Epoch: 12 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.095585 (0.12061) Boundary_loss: 0.012786 (0.012813) Loss: 0.10837 (0.13342) +2025-08-25,05:09:50 | INFO | Train Epoch: 12 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.10442 (0.12058) Boundary_loss: 0.012791 (0.012813) Loss: 0.11721 (0.13339) +2025-08-25,05:10:49 | INFO | Train Epoch: 12 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.082081 (0.12050) Boundary_loss: 0.012972 (0.012813) Loss: 0.095053 (0.13331) +2025-08-25,05:11:48 | INFO | Train Epoch: 12 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.12495 (0.12051) Boundary_loss: 0.012739 (0.012813) Loss: 0.13768 (0.13332) +2025-08-25,05:12:46 | INFO | Train Epoch: 12 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.11008 (0.12048) Boundary_loss: 0.012811 (0.012813) Loss: 0.12289 (0.13330) +2025-08-25,05:13:45 | INFO | Train Epoch: 12 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.10520 (0.12045) Boundary_loss: 0.012772 (0.012813) Loss: 0.11798 (0.13326) +2025-08-25,05:14:44 | INFO | Train Epoch: 12 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.10270 (0.12041) Boundary_loss: 0.012777 (0.012813) Loss: 0.11548 (0.13323) +2025-08-25,05:15:42 | INFO | Train Epoch: 12 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.088494 (0.12035) Boundary_loss: 0.012764 (0.012813) Loss: 0.10126 (0.13316) +2025-08-25,05:16:41 | INFO | Train Epoch: 12 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.079351 (0.12026) Boundary_loss: 0.012748 (0.012813) Loss: 0.092100 (0.13308) +2025-08-25,05:17:39 | INFO | Train Epoch: 12 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.10951 (0.12024) Boundary_loss: 0.012765 (0.012813) Loss: 0.12228 (0.13305) +2025-08-25,05:18:38 | INFO | Train Epoch: 12 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.13463 (0.12027) Boundary_loss: 0.012776 (0.012813) Loss: 0.14741 (0.13308) +2025-08-25,05:19:37 | INFO | Train Epoch: 12 [24678912/26365952 (94%)] Avg Boundaries (per batch): 18.924 Boundary Ratio: 0.097 Contrastive_loss: 0.11770 (0.12026) Boundary_loss: 0.012692 (0.012812) Loss: 0.13039 (0.13308) +2025-08-25,05:20:35 | INFO | Train Epoch: 12 [24730112/26365952 (94%)] Avg Boundaries (per batch): 18.979 Boundary Ratio: 0.097 Contrastive_loss: 0.095396 (0.12021) Boundary_loss: 0.012876 (0.012813) Loss: 0.10827 (0.13303) +2025-08-25,05:21:34 | INFO | Train Epoch: 12 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.094270 (0.12016) Boundary_loss: 0.012766 (0.012813) Loss: 0.10704 (0.13297) +2025-08-25,05:22:33 | INFO | Train Epoch: 12 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.10911 (0.12014) Boundary_loss: 0.012873 (0.012813) Loss: 0.12198 (0.13295) +2025-08-25,05:23:31 | INFO | Train Epoch: 12 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.11344 (0.12012) Boundary_loss: 0.012847 (0.012813) Loss: 0.12629 (0.13294) +2025-08-25,05:24:30 | INFO | Train Epoch: 12 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.11098 (0.12010) Boundary_loss: 0.012793 (0.012813) Loss: 0.12378 (0.13292) +2025-08-25,05:25:28 | INFO | Train Epoch: 12 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.13922 (0.12014) Boundary_loss: 0.012845 (0.012813) Loss: 0.15207 (0.13296) +2025-08-25,05:26:27 | INFO | Train Epoch: 12 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.12219 (0.12015) Boundary_loss: 0.012883 (0.012813) Loss: 0.13507 (0.13296) +2025-08-25,05:27:26 | INFO | Train Epoch: 12 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.14615 (0.12020) Boundary_loss: 0.012895 (0.012813) Loss: 0.15905 (0.13301) +2025-08-25,05:28:24 | INFO | Train Epoch: 12 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.12362 (0.12021) Boundary_loss: 0.012856 (0.012813) Loss: 0.13648 (0.13302) +2025-08-25,05:29:23 | INFO | Train Epoch: 12 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.11687 (0.12020) Boundary_loss: 0.012792 (0.012813) Loss: 0.12966 (0.13301) +2025-08-25,05:30:21 | INFO | Train Epoch: 12 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.13304 (0.12023) Boundary_loss: 0.012816 (0.012813) Loss: 0.14586 (0.13304) +2025-08-25,05:31:20 | INFO | Train Epoch: 12 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.15257 (0.12029) Boundary_loss: 0.012854 (0.012813) Loss: 0.16543 (0.13311) +2025-08-25,05:32:19 | INFO | Train Epoch: 12 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.14209 (0.12034) Boundary_loss: 0.012744 (0.012813) Loss: 0.15483 (0.13315) +2025-08-25,05:33:17 | INFO | Train Epoch: 12 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.13580 (0.12037) Boundary_loss: 0.012903 (0.012813) Loss: 0.14870 (0.13318) +2025-08-25,05:34:16 | INFO | Train Epoch: 12 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.13990 (0.12041) Boundary_loss: 0.012837 (0.012813) Loss: 0.15273 (0.13322) +2025-08-25,05:35:14 | INFO | Train Epoch: 12 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.090354 (0.12035) Boundary_loss: 0.012772 (0.012813) Loss: 0.10313 (0.13316) +2025-08-25,05:36:13 | INFO | Train Epoch: 12 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.10773 (0.12032) Boundary_loss: 0.012866 (0.012813) Loss: 0.12059 (0.13313) +2025-08-25,05:37:12 | INFO | Train Epoch: 12 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.12377 (0.12033) Boundary_loss: 0.012770 (0.012813) Loss: 0.13654 (0.13314) +2025-08-25,05:38:10 | INFO | Train Epoch: 12 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.10058 (0.12029) Boundary_loss: 0.012837 (0.012813) Loss: 0.11342 (0.13310) +2025-08-25,05:39:09 | INFO | Train Epoch: 12 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.11443 (0.12028) Boundary_loss: 0.012749 (0.012813) Loss: 0.12718 (0.13309) +2025-08-25,05:40:07 | INFO | Train Epoch: 12 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.091748 (0.12022) Boundary_loss: 0.012851 (0.012813) Loss: 0.10460 (0.13303) +2025-08-25,05:41:06 | INFO | Train Epoch: 12 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.093910 (0.12017) Boundary_loss: 0.012788 (0.012813) Loss: 0.10670 (0.13298) +2025-08-25,05:42:04 | INFO | Train Epoch: 12 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.12803 (0.12018) Boundary_loss: 0.012810 (0.012813) Loss: 0.14084 (0.13300) +2025-08-25,05:43:03 | INFO | Train Epoch: 12 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.13182 (0.12021) Boundary_loss: 0.012826 (0.012813) Loss: 0.14465 (0.13302) +2025-08-25,05:44:01 | INFO | Train Epoch: 12 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.081806 (0.12013) Boundary_loss: 0.012803 (0.012813) Loss: 0.094610 (0.13294) +2025-08-25,05:45:00 | INFO | Train Epoch: 12 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.11092 (0.12011) Boundary_loss: 0.012773 (0.012813) Loss: 0.12369 (0.13293) +2025-08-25,05:45:59 | INFO | Train Epoch: 12 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.082084 (0.12004) Boundary_loss: 0.012724 (0.012813) Loss: 0.094808 (0.13285) +2025-08-25,05:46:57 | INFO | Train Epoch: 12 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.11835 (0.12004) Boundary_loss: 0.012789 (0.012813) Loss: 0.13114 (0.13285) +2025-08-25,05:47:56 | INFO | Train Epoch: 12 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.10095 (0.12000) Boundary_loss: 0.012703 (0.012813) Loss: 0.11366 (0.13281) +2025-08-25,05:48:54 | INFO | Train Epoch: 12 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.075329 (0.11991) Boundary_loss: 0.012816 (0.012813) Loss: 0.088144 (0.13272) +2025-08-25,05:49:53 | INFO | Train Epoch: 12 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.072385 (0.11982) Boundary_loss: 0.012782 (0.012813) Loss: 0.085167 (0.13263) +2025-08-25,05:50:52 | INFO | Train Epoch: 12 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.10054 (0.11978) Boundary_loss: 0.012727 (0.012812) Loss: 0.11327 (0.13259) +2025-08-25,05:51:47 | INFO | Train Epoch: 12 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.11863 (0.11978) Boundary_loss: 0.012844 (0.012812) Loss: 0.13148 (0.13259) +2025-08-25,05:51:47 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-25,05:51:47 | INFO | [Epoch 12] Average Step Time: 0.589s | Average GPU Memory: 33.4 GB +2025-08-25,05:51:47 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-25,05:51:47 | INFO | Starting zero-shot imagenet. +2025-08-25,05:51:47 | INFO | Building zero-shot classifier +2025-08-25,05:51:57 | INFO | Using classifier +2025-08-25,05:52:39 | INFO | Finished zero-shot imagenet. +2025-08-25,05:52:39 | INFO | Eval Epoch: 13 imagenet-zeroshot-val-top1: 0.3147 imagenet-zeroshot-val-top5: 0.5855 +2025-08-25,05:52:40 | INFO | Start epoch 13 +2025-08-25,05:52:43 | INFO | Train Epoch: 13 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.11943 (0.11943) Boundary_loss: 0.012834 (0.012834) Loss: 0.13226 (0.13226) +2025-08-25,05:53:41 | INFO | Train Epoch: 13 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.10094 (0.11019) Boundary_loss: 0.012710 (0.012772) Loss: 0.11365 (0.12296) +2025-08-25,05:54:40 | INFO | Train Epoch: 13 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.080461 (0.10028) Boundary_loss: 0.012881 (0.012808) Loss: 0.093342 (0.11309) +2025-08-25,05:55:38 | INFO | Train Epoch: 13 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.079176 (0.095002) Boundary_loss: 0.012886 (0.012828) Loss: 0.092062 (0.10783) +2025-08-25,05:56:37 | INFO | Train Epoch: 13 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.080883 (0.092179) Boundary_loss: 0.012819 (0.012826) Loss: 0.093702 (0.10500) +2025-08-25,05:57:36 | INFO | Train Epoch: 13 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.081314 (0.090368) Boundary_loss: 0.012729 (0.012810) Loss: 0.094044 (0.10318) +2025-08-25,05:58:34 | INFO | Train Epoch: 13 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.11846 (0.094381) Boundary_loss: 0.012841 (0.012814) Loss: 0.13130 (0.10720) +2025-08-25,05:59:33 | INFO | Train Epoch: 13 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.090726 (0.093924) Boundary_loss: 0.012815 (0.012814) Loss: 0.10354 (0.10674) +2025-08-25,06:00:31 | INFO | Train Epoch: 13 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.11808 (0.096609) Boundary_loss: 0.012759 (0.012808) Loss: 0.13084 (0.10942) +2025-08-25,06:01:30 | INFO | Train Epoch: 13 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.15138 (0.10209) Boundary_loss: 0.012765 (0.012804) Loss: 0.16415 (0.11489) +2025-08-25,06:02:29 | INFO | Train Epoch: 13 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.11501 (0.10326) Boundary_loss: 0.012800 (0.012803) Loss: 0.12781 (0.11606) +2025-08-25,06:03:27 | INFO | Train Epoch: 13 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.089016 (0.10207) Boundary_loss: 0.012806 (0.012804) Loss: 0.10182 (0.11488) +2025-08-25,06:04:26 | INFO | Train Epoch: 13 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.098200 (0.10178) Boundary_loss: 0.012791 (0.012803) Loss: 0.11099 (0.11458) +2025-08-25,06:05:24 | INFO | Train Epoch: 13 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.10911 (0.10230) Boundary_loss: 0.012817 (0.012804) Loss: 0.12192 (0.11510) +2025-08-25,06:06:23 | INFO | Train Epoch: 13 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.077977 (0.10068) Boundary_loss: 0.012857 (0.012807) Loss: 0.090834 (0.11349) +2025-08-25,06:07:21 | INFO | Train Epoch: 13 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.071306 (0.098842) Boundary_loss: 0.012802 (0.012807) Loss: 0.084108 (0.11165) +2025-08-25,06:08:20 | INFO | Train Epoch: 13 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 18.994 Boundary Ratio: 0.097 Contrastive_loss: 0.076416 (0.097523) Boundary_loss: 0.012893 (0.012812) Loss: 0.089309 (0.11034) +2025-08-25,06:09:18 | INFO | Train Epoch: 13 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.11420 (0.098450) Boundary_loss: 0.012866 (0.012815) Loss: 0.12707 (0.11126) +2025-08-25,06:10:17 | INFO | Train Epoch: 13 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.096973 (0.098372) Boundary_loss: 0.012879 (0.012818) Loss: 0.10985 (0.11119) +2025-08-25,06:11:16 | INFO | Train Epoch: 13 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.088 Boundary Ratio: 0.097 Contrastive_loss: 0.10445 (0.098676) Boundary_loss: 0.012769 (0.012816) Loss: 0.11722 (0.11149) +2025-08-25,06:12:14 | INFO | Train Epoch: 13 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.10619 (0.099034) Boundary_loss: 0.012727 (0.012812) Loss: 0.11892 (0.11185) +2025-08-25,06:13:13 | INFO | Train Epoch: 13 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.12745 (0.10033) Boundary_loss: 0.012678 (0.012806) Loss: 0.14013 (0.11313) +2025-08-25,06:14:11 | INFO | Train Epoch: 13 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.078489 (0.099376) Boundary_loss: 0.012887 (0.012809) Loss: 0.091376 (0.11218) +2025-08-25,06:15:10 | INFO | Train Epoch: 13 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.12165 (0.10030) Boundary_loss: 0.012946 (0.012815) Loss: 0.13460 (0.11312) +2025-08-25,06:16:08 | INFO | Train Epoch: 13 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.087983 (0.099811) Boundary_loss: 0.012891 (0.012818) Loss: 0.10087 (0.11263) +2025-08-25,06:17:07 | INFO | Train Epoch: 13 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.093526 (0.099569) Boundary_loss: 0.012749 (0.012815) Loss: 0.10627 (0.11238) +2025-08-25,06:18:05 | INFO | Train Epoch: 13 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.10855 (0.099902) Boundary_loss: 0.012779 (0.012814) Loss: 0.12132 (0.11272) +2025-08-25,06:19:04 | INFO | Train Epoch: 13 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.072965 (0.098940) Boundary_loss: 0.012788 (0.012813) Loss: 0.085752 (0.11175) +2025-08-25,06:20:02 | INFO | Train Epoch: 13 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.088865 (0.098592) Boundary_loss: 0.012851 (0.012814) Loss: 0.10172 (0.11141) +2025-08-25,06:21:01 | INFO | Train Epoch: 13 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.12812 (0.099576) Boundary_loss: 0.012841 (0.012815) Loss: 0.14096 (0.11239) +2025-08-25,06:22:00 | INFO | Train Epoch: 13 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 18.926 Boundary Ratio: 0.097 Contrastive_loss: 0.097892 (0.099522) Boundary_loss: 0.012788 (0.012814) Loss: 0.11068 (0.11234) +2025-08-25,06:22:58 | INFO | Train Epoch: 13 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.067647 (0.098526) Boundary_loss: 0.012708 (0.012811) Loss: 0.080355 (0.11134) +2025-08-25,06:23:57 | INFO | Train Epoch: 13 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.10511 (0.098725) Boundary_loss: 0.012784 (0.012810) Loss: 0.11789 (0.11154) +2025-08-25,06:24:55 | INFO | Train Epoch: 13 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.10637 (0.098950) Boundary_loss: 0.012719 (0.012808) Loss: 0.11909 (0.11176) +2025-08-25,06:25:54 | INFO | Train Epoch: 13 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.094621 (0.098827) Boundary_loss: 0.012868 (0.012809) Loss: 0.10749 (0.11164) +2025-08-25,06:26:52 | INFO | Train Epoch: 13 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.10699 (0.099053) Boundary_loss: 0.012718 (0.012807) Loss: 0.11971 (0.11186) +2025-08-25,06:27:51 | INFO | Train Epoch: 13 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.11678 (0.099532) Boundary_loss: 0.012799 (0.012807) Loss: 0.12958 (0.11234) +2025-08-25,06:28:50 | INFO | Train Epoch: 13 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.088581 (0.099244) Boundary_loss: 0.012836 (0.012807) Loss: 0.10142 (0.11205) +2025-08-25,06:29:48 | INFO | Train Epoch: 13 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.090664 (0.099024) Boundary_loss: 0.012817 (0.012808) Loss: 0.10348 (0.11183) +2025-08-25,06:30:47 | INFO | Train Epoch: 13 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.097793 (0.098993) Boundary_loss: 0.012762 (0.012806) Loss: 0.11055 (0.11180) +2025-08-25,06:31:45 | INFO | Train Epoch: 13 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.13290 (0.099820) Boundary_loss: 0.012786 (0.012806) Loss: 0.14568 (0.11263) +2025-08-25,06:32:44 | INFO | Train Epoch: 13 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 18.938 Boundary Ratio: 0.097 Contrastive_loss: 0.13849 (0.10074) Boundary_loss: 0.012881 (0.012808) Loss: 0.15137 (0.11355) +2025-08-25,06:33:42 | INFO | Train Epoch: 13 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.10569 (0.10086) Boundary_loss: 0.012879 (0.012809) Loss: 0.11857 (0.11367) +2025-08-25,06:34:41 | INFO | Train Epoch: 13 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.069385 (0.10014) Boundary_loss: 0.012880 (0.012811) Loss: 0.082265 (0.11295) +2025-08-25,06:35:40 | INFO | Train Epoch: 13 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.090539 (0.099927) Boundary_loss: 0.012795 (0.012811) Loss: 0.10333 (0.11274) +2025-08-25,06:36:38 | INFO | Train Epoch: 13 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.10895 (0.10012) Boundary_loss: 0.012784 (0.012810) Loss: 0.12173 (0.11293) +2025-08-25,06:37:37 | INFO | Train Epoch: 13 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.10055 (0.10013) Boundary_loss: 0.012766 (0.012809) Loss: 0.11331 (0.11294) +2025-08-25,06:38:35 | INFO | Train Epoch: 13 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.098465 (0.10010) Boundary_loss: 0.012767 (0.012808) Loss: 0.11123 (0.11291) +2025-08-25,06:39:34 | INFO | Train Epoch: 13 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.12013 (0.10051) Boundary_loss: 0.012841 (0.012809) Loss: 0.13297 (0.11332) +2025-08-25,06:40:32 | INFO | Train Epoch: 13 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.598 Boundary Ratio: 0.100 Contrastive_loss: 0.11509 (0.10080) Boundary_loss: 0.012809 (0.012809) Loss: 0.12790 (0.11361) +2025-08-25,06:41:31 | INFO | Train Epoch: 13 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.11902 (0.10116) Boundary_loss: 0.012763 (0.012808) Loss: 0.13179 (0.11396) +2025-08-25,06:42:30 | INFO | Train Epoch: 13 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.10036 (0.10114) Boundary_loss: 0.012760 (0.012807) Loss: 0.11312 (0.11395) +2025-08-25,06:43:28 | INFO | Train Epoch: 13 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.14781 (0.10202) Boundary_loss: 0.012767 (0.012806) Loss: 0.16058 (0.11483) +2025-08-25,06:44:27 | INFO | Train Epoch: 13 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.11575 (0.10228) Boundary_loss: 0.012857 (0.012807) Loss: 0.12861 (0.11508) +2025-08-25,06:45:25 | INFO | Train Epoch: 13 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.083447 (0.10193) Boundary_loss: 0.012805 (0.012807) Loss: 0.096252 (0.11474) +2025-08-25,06:46:24 | INFO | Train Epoch: 13 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.13970 (0.10261) Boundary_loss: 0.012857 (0.012808) Loss: 0.15256 (0.11542) +2025-08-25,06:47:22 | INFO | Train Epoch: 13 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.095697 (0.10249) Boundary_loss: 0.012821 (0.012808) Loss: 0.10852 (0.11529) +2025-08-25,06:48:21 | INFO | Train Epoch: 13 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.12859 (0.10294) Boundary_loss: 0.012767 (0.012808) Loss: 0.14136 (0.11574) +2025-08-25,06:49:19 | INFO | Train Epoch: 13 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.10091 (0.10290) Boundary_loss: 0.012841 (0.012808) Loss: 0.11375 (0.11571) +2025-08-25,06:50:18 | INFO | Train Epoch: 13 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.10828 (0.10299) Boundary_loss: 0.012818 (0.012808) Loss: 0.12110 (0.11580) +2025-08-25,06:51:17 | INFO | Train Epoch: 13 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.11269 (0.10315) Boundary_loss: 0.012739 (0.012807) Loss: 0.12543 (0.11596) +2025-08-25,06:52:15 | INFO | Train Epoch: 13 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.069213 (0.10260) Boundary_loss: 0.012787 (0.012807) Loss: 0.082000 (0.11541) +2025-08-25,06:53:14 | INFO | Train Epoch: 13 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.14816 (0.10333) Boundary_loss: 0.012758 (0.012806) Loss: 0.16092 (0.11613) +2025-08-25,06:54:12 | INFO | Train Epoch: 13 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.10435 (0.10334) Boundary_loss: 0.012878 (0.012807) Loss: 0.11723 (0.11615) +2025-08-25,06:55:11 | INFO | Train Epoch: 13 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.086877 (0.10309) Boundary_loss: 0.012801 (0.012807) Loss: 0.099679 (0.11590) +2025-08-25,06:56:09 | INFO | Train Epoch: 13 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.086016 (0.10283) Boundary_loss: 0.012848 (0.012808) Loss: 0.098864 (0.11564) +2025-08-25,06:57:08 | INFO | Train Epoch: 13 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.10699 (0.10289) Boundary_loss: 0.012793 (0.012808) Loss: 0.11978 (0.11570) +2025-08-25,06:58:07 | INFO | Train Epoch: 13 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.081675 (0.10258) Boundary_loss: 0.012828 (0.012808) Loss: 0.094502 (0.11539) +2025-08-25,06:59:05 | INFO | Train Epoch: 13 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.402 Boundary Ratio: 0.099 Contrastive_loss: 0.085244 (0.10233) Boundary_loss: 0.012837 (0.012808) Loss: 0.098082 (0.11514) +2025-08-25,07:00:04 | INFO | Train Epoch: 13 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.12722 (0.10268) Boundary_loss: 0.012730 (0.012807) Loss: 0.13995 (0.11549) +2025-08-25,07:01:02 | INFO | Train Epoch: 13 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.11303 (0.10283) Boundary_loss: 0.012821 (0.012807) Loss: 0.12585 (0.11564) +2025-08-25,07:02:01 | INFO | Train Epoch: 13 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.11019 (0.10293) Boundary_loss: 0.012950 (0.012809) Loss: 0.12313 (0.11574) +2025-08-25,07:03:00 | INFO | Train Epoch: 13 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.096908 (0.10285) Boundary_loss: 0.012862 (0.012810) Loss: 0.10977 (0.11566) +2025-08-25,07:03:58 | INFO | Train Epoch: 13 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.087590 (0.10264) Boundary_loss: 0.012809 (0.012810) Loss: 0.10040 (0.11545) +2025-08-25,07:04:57 | INFO | Train Epoch: 13 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.10833 (0.10272) Boundary_loss: 0.012856 (0.012811) Loss: 0.12119 (0.11553) +2025-08-25,07:05:55 | INFO | Train Epoch: 13 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.10730 (0.10278) Boundary_loss: 0.012733 (0.012810) Loss: 0.12003 (0.11559) +2025-08-25,07:06:54 | INFO | Train Epoch: 13 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.095586 (0.10269) Boundary_loss: 0.012706 (0.012808) Loss: 0.10829 (0.11549) +2025-08-25,07:07:52 | INFO | Train Epoch: 13 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.073948 (0.10232) Boundary_loss: 0.012698 (0.012807) Loss: 0.086646 (0.11512) +2025-08-25,07:08:51 | INFO | Train Epoch: 13 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.090571 (0.10217) Boundary_loss: 0.012750 (0.012806) Loss: 0.10332 (0.11498) +2025-08-25,07:09:50 | INFO | Train Epoch: 13 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.072947 (0.10180) Boundary_loss: 0.012779 (0.012806) Loss: 0.085725 (0.11461) +2025-08-25,07:10:48 | INFO | Train Epoch: 13 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.099919 (0.10178) Boundary_loss: 0.012764 (0.012805) Loss: 0.11268 (0.11459) +2025-08-25,07:11:47 | INFO | Train Epoch: 13 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.073478 (0.10144) Boundary_loss: 0.012835 (0.012806) Loss: 0.086313 (0.11424) +2025-08-25,07:12:45 | INFO | Train Epoch: 13 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.10157 (0.10144) Boundary_loss: 0.012777 (0.012805) Loss: 0.11434 (0.11424) +2025-08-25,07:13:44 | INFO | Train Epoch: 13 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.074647 (0.10112) Boundary_loss: 0.012836 (0.012806) Loss: 0.087483 (0.11392) +2025-08-25,07:14:43 | INFO | Train Epoch: 13 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.092375 (0.10102) Boundary_loss: 0.012783 (0.012805) Loss: 0.10516 (0.11382) +2025-08-25,07:15:41 | INFO | Train Epoch: 13 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.091706 (0.10091) Boundary_loss: 0.012782 (0.012805) Loss: 0.10449 (0.11371) +2025-08-25,07:16:40 | INFO | Train Epoch: 13 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.11852 (0.10111) Boundary_loss: 0.012784 (0.012805) Loss: 0.13130 (0.11391) +2025-08-25,07:17:38 | INFO | Train Epoch: 13 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.098289 (0.10108) Boundary_loss: 0.012750 (0.012804) Loss: 0.11104 (0.11388) +2025-08-25,07:18:37 | INFO | Train Epoch: 13 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.10839 (0.10116) Boundary_loss: 0.012827 (0.012805) Loss: 0.12122 (0.11396) +2025-08-25,07:19:36 | INFO | Train Epoch: 13 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.11188 (0.10128) Boundary_loss: 0.012816 (0.012805) Loss: 0.12470 (0.11408) +2025-08-25,07:20:34 | INFO | Train Epoch: 13 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.11597 (0.10144) Boundary_loss: 0.012784 (0.012804) Loss: 0.12875 (0.11424) +2025-08-25,07:21:33 | INFO | Train Epoch: 13 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.014 Boundary Ratio: 0.097 Contrastive_loss: 0.098994 (0.10141) Boundary_loss: 0.012744 (0.012804) Loss: 0.11174 (0.11422) +2025-08-25,07:22:31 | INFO | Train Epoch: 13 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.070 Boundary Ratio: 0.097 Contrastive_loss: 0.083861 (0.10122) Boundary_loss: 0.012855 (0.012804) Loss: 0.096716 (0.11403) +2025-08-25,07:23:30 | INFO | Train Epoch: 13 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.13478 (0.10158) Boundary_loss: 0.012903 (0.012805) Loss: 0.14768 (0.11439) +2025-08-25,07:24:28 | INFO | Train Epoch: 13 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.098386 (0.10155) Boundary_loss: 0.012756 (0.012805) Loss: 0.11114 (0.11435) +2025-08-25,07:25:27 | INFO | Train Epoch: 13 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.091848 (0.10145) Boundary_loss: 0.012753 (0.012804) Loss: 0.10460 (0.11425) +2025-08-25,07:26:26 | INFO | Train Epoch: 13 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.10257 (0.10146) Boundary_loss: 0.012886 (0.012805) Loss: 0.11545 (0.11426) +2025-08-25,07:27:24 | INFO | Train Epoch: 13 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.082706 (0.10127) Boundary_loss: 0.012831 (0.012805) Loss: 0.095537 (0.11407) +2025-08-25,07:28:23 | INFO | Train Epoch: 13 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.091352 (0.10117) Boundary_loss: 0.012868 (0.012806) Loss: 0.10422 (0.11397) +2025-08-25,07:29:21 | INFO | Train Epoch: 13 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.097720 (0.10113) Boundary_loss: 0.012722 (0.012805) Loss: 0.11044 (0.11394) +2025-08-25,07:30:20 | INFO | Train Epoch: 13 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.076921 (0.10089) Boundary_loss: 0.012786 (0.012805) Loss: 0.089707 (0.11370) +2025-08-25,07:31:19 | INFO | Train Epoch: 13 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.088350 (0.10077) Boundary_loss: 0.012742 (0.012804) Loss: 0.10109 (0.11357) +2025-08-25,07:32:17 | INFO | Train Epoch: 13 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.12760 (0.10103) Boundary_loss: 0.012740 (0.012804) Loss: 0.14034 (0.11383) +2025-08-25,07:33:16 | INFO | Train Epoch: 13 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.095243 (0.10097) Boundary_loss: 0.012815 (0.012804) Loss: 0.10806 (0.11378) +2025-08-25,07:34:14 | INFO | Train Epoch: 13 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.088062 (0.10085) Boundary_loss: 0.012747 (0.012803) Loss: 0.10081 (0.11366) +2025-08-25,07:35:13 | INFO | Train Epoch: 13 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.091494 (0.10076) Boundary_loss: 0.012861 (0.012804) Loss: 0.10436 (0.11357) +2025-08-25,07:36:12 | INFO | Train Epoch: 13 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.10534 (0.10081) Boundary_loss: 0.012800 (0.012804) Loss: 0.11814 (0.11361) +2025-08-25,07:37:10 | INFO | Train Epoch: 13 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.12173 (0.10100) Boundary_loss: 0.012777 (0.012804) Loss: 0.13451 (0.11380) +2025-08-25,07:38:09 | INFO | Train Epoch: 13 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.12481 (0.10122) Boundary_loss: 0.012786 (0.012803) Loss: 0.13760 (0.11402) +2025-08-25,07:39:08 | INFO | Train Epoch: 13 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.094078 (0.10115) Boundary_loss: 0.012813 (0.012804) Loss: 0.10689 (0.11396) +2025-08-25,07:40:06 | INFO | Train Epoch: 13 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.079247 (0.10096) Boundary_loss: 0.012811 (0.012804) Loss: 0.092058 (0.11376) +2025-08-25,07:41:05 | INFO | Train Epoch: 13 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.083874 (0.10080) Boundary_loss: 0.012782 (0.012803) Loss: 0.096656 (0.11361) +2025-08-25,07:42:03 | INFO | Train Epoch: 13 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.10046 (0.10080) Boundary_loss: 0.012743 (0.012803) Loss: 0.11320 (0.11360) +2025-08-25,07:43:02 | INFO | Train Epoch: 13 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.473 Boundary Ratio: 0.099 Contrastive_loss: 0.074212 (0.10057) Boundary_loss: 0.012751 (0.012802) Loss: 0.086962 (0.11337) +2025-08-25,07:44:01 | INFO | Train Epoch: 13 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.11218 (0.10067) Boundary_loss: 0.012827 (0.012803) Loss: 0.12501 (0.11347) +2025-08-25,07:44:59 | INFO | Train Epoch: 13 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.094829 (0.10062) Boundary_loss: 0.012772 (0.012802) Loss: 0.10760 (0.11342) +2025-08-25,07:45:58 | INFO | Train Epoch: 13 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.090071 (0.10053) Boundary_loss: 0.012972 (0.012804) Loss: 0.10304 (0.11333) +2025-08-25,07:46:57 | INFO | Train Epoch: 13 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.099771 (0.10052) Boundary_loss: 0.012867 (0.012804) Loss: 0.11264 (0.11333) +2025-08-25,07:47:55 | INFO | Train Epoch: 13 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.11310 (0.10063) Boundary_loss: 0.012821 (0.012804) Loss: 0.12593 (0.11343) +2025-08-25,07:48:54 | INFO | Train Epoch: 13 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.11685 (0.10076) Boundary_loss: 0.012637 (0.012803) Loss: 0.12949 (0.11357) +2025-08-25,07:49:53 | INFO | Train Epoch: 13 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.099651 (0.10075) Boundary_loss: 0.012719 (0.012802) Loss: 0.11237 (0.11356) +2025-08-25,07:50:51 | INFO | Train Epoch: 13 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.10532 (0.10079) Boundary_loss: 0.012780 (0.012802) Loss: 0.11810 (0.11359) +2025-08-25,07:51:50 | INFO | Train Epoch: 13 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.113 Boundary Ratio: 0.098 Contrastive_loss: 0.099259 (0.10078) Boundary_loss: 0.012845 (0.012803) Loss: 0.11210 (0.11358) +2025-08-25,07:52:49 | INFO | Train Epoch: 13 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.10165 (0.10079) Boundary_loss: 0.012868 (0.012803) Loss: 0.11452 (0.11359) +2025-08-25,07:53:47 | INFO | Train Epoch: 13 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.11658 (0.10091) Boundary_loss: 0.012828 (0.012803) Loss: 0.12940 (0.11372) +2025-08-25,07:54:46 | INFO | Train Epoch: 13 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.10394 (0.10094) Boundary_loss: 0.012703 (0.012802) Loss: 0.11664 (0.11374) +2025-08-25,07:55:45 | INFO | Train Epoch: 13 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.10244 (0.10095) Boundary_loss: 0.012810 (0.012803) Loss: 0.11525 (0.11375) +2025-08-25,07:56:43 | INFO | Train Epoch: 13 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.11993 (0.10110) Boundary_loss: 0.012793 (0.012802) Loss: 0.13272 (0.11390) +2025-08-25,07:57:42 | INFO | Train Epoch: 13 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.093515 (0.10104) Boundary_loss: 0.012973 (0.012804) Loss: 0.10649 (0.11384) +2025-08-25,07:58:41 | INFO | Train Epoch: 13 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.10618 (0.10108) Boundary_loss: 0.012802 (0.012804) Loss: 0.11898 (0.11388) +2025-08-25,07:59:39 | INFO | Train Epoch: 13 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.098422 (0.10106) Boundary_loss: 0.012790 (0.012804) Loss: 0.11121 (0.11386) +2025-08-25,08:00:38 | INFO | Train Epoch: 13 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.11223 (0.10114) Boundary_loss: 0.012747 (0.012803) Loss: 0.12498 (0.11394) +2025-08-25,08:01:36 | INFO | Train Epoch: 13 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.10356 (0.10116) Boundary_loss: 0.012894 (0.012804) Loss: 0.11645 (0.11396) +2025-08-25,08:02:35 | INFO | Train Epoch: 13 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.10804 (0.10121) Boundary_loss: 0.012794 (0.012804) Loss: 0.12084 (0.11401) +2025-08-25,08:03:33 | INFO | Train Epoch: 13 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.093113 (0.10115) Boundary_loss: 0.012715 (0.012803) Loss: 0.10583 (0.11395) +2025-08-25,08:04:32 | INFO | Train Epoch: 13 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.10490 (0.10118) Boundary_loss: 0.012735 (0.012803) Loss: 0.11764 (0.11398) +2025-08-25,08:05:31 | INFO | Train Epoch: 13 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.12458 (0.10135) Boundary_loss: 0.012802 (0.012803) Loss: 0.13738 (0.11415) +2025-08-25,08:06:29 | INFO | Train Epoch: 13 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.13747 (0.10161) Boundary_loss: 0.012716 (0.012802) Loss: 0.15019 (0.11441) +2025-08-25,08:07:28 | INFO | Train Epoch: 13 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.11890 (0.10174) Boundary_loss: 0.012855 (0.012802) Loss: 0.13176 (0.11454) +2025-08-25,08:08:27 | INFO | Train Epoch: 13 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.10437 (0.10175) Boundary_loss: 0.012772 (0.012802) Loss: 0.11714 (0.11456) +2025-08-25,08:09:25 | INFO | Train Epoch: 13 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.097835 (0.10173) Boundary_loss: 0.012717 (0.012802) Loss: 0.11055 (0.11453) +2025-08-25,08:10:24 | INFO | Train Epoch: 13 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.079734 (0.10157) Boundary_loss: 0.012774 (0.012801) Loss: 0.092508 (0.11437) +2025-08-25,08:11:23 | INFO | Train Epoch: 13 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.10078 (0.10157) Boundary_loss: 0.012767 (0.012801) Loss: 0.11355 (0.11437) +2025-08-25,08:12:21 | INFO | Train Epoch: 13 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.056145 (0.10125) Boundary_loss: 0.012758 (0.012801) Loss: 0.068903 (0.11405) +2025-08-25,08:13:20 | INFO | Train Epoch: 13 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.10342 (0.10127) Boundary_loss: 0.012891 (0.012802) Loss: 0.11631 (0.11407) +2025-08-25,08:14:18 | INFO | Train Epoch: 13 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.10439 (0.10129) Boundary_loss: 0.012746 (0.012801) Loss: 0.11714 (0.11409) +2025-08-25,08:15:17 | INFO | Train Epoch: 13 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.088360 (0.10120) Boundary_loss: 0.012700 (0.012800) Loss: 0.10106 (0.11400) +2025-08-25,08:16:16 | INFO | Train Epoch: 13 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.083550 (0.10108) Boundary_loss: 0.012808 (0.012800) Loss: 0.096358 (0.11388) +2025-08-25,08:17:14 | INFO | Train Epoch: 13 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.10518 (0.10111) Boundary_loss: 0.012822 (0.012801) Loss: 0.11800 (0.11391) +2025-08-25,08:18:13 | INFO | Train Epoch: 13 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.13443 (0.10133) Boundary_loss: 0.012836 (0.012801) Loss: 0.14726 (0.11413) +2025-08-25,08:19:11 | INFO | Train Epoch: 13 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.065140 (0.10109) Boundary_loss: 0.012789 (0.012801) Loss: 0.077929 (0.11389) +2025-08-25,08:20:10 | INFO | Train Epoch: 13 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.074384 (0.10091) Boundary_loss: 0.012826 (0.012801) Loss: 0.087210 (0.11371) +2025-08-25,08:21:09 | INFO | Train Epoch: 13 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.086233 (0.10082) Boundary_loss: 0.012696 (0.012800) Loss: 0.098929 (0.11362) +2025-08-25,08:22:07 | INFO | Train Epoch: 13 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.096740 (0.10079) Boundary_loss: 0.012873 (0.012801) Loss: 0.10961 (0.11359) +2025-08-25,08:23:06 | INFO | Train Epoch: 13 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.11178 (0.10086) Boundary_loss: 0.012779 (0.012801) Loss: 0.12456 (0.11366) +2025-08-25,08:24:05 | INFO | Train Epoch: 13 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.12335 (0.10101) Boundary_loss: 0.012717 (0.012800) Loss: 0.13607 (0.11381) +2025-08-25,08:25:03 | INFO | Train Epoch: 13 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.10983 (0.10106) Boundary_loss: 0.012896 (0.012801) Loss: 0.12273 (0.11386) +2025-08-25,08:26:02 | INFO | Train Epoch: 13 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.12431 (0.10121) Boundary_loss: 0.012879 (0.012801) Loss: 0.13719 (0.11401) +2025-08-25,08:27:01 | INFO | Train Epoch: 13 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.12476 (0.10136) Boundary_loss: 0.012873 (0.012802) Loss: 0.13764 (0.11416) +2025-08-25,08:27:59 | INFO | Train Epoch: 13 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.094585 (0.10132) Boundary_loss: 0.012825 (0.012802) Loss: 0.10741 (0.11412) +2025-08-25,08:28:58 | INFO | Train Epoch: 13 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.073040 (0.10114) Boundary_loss: 0.012837 (0.012802) Loss: 0.085877 (0.11394) +2025-08-25,08:29:56 | INFO | Train Epoch: 13 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.091454 (0.10108) Boundary_loss: 0.012862 (0.012802) Loss: 0.10432 (0.11388) +2025-08-25,08:30:55 | INFO | Train Epoch: 13 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.081249 (0.10096) Boundary_loss: 0.012913 (0.012803) Loss: 0.094162 (0.11376) +2025-08-25,08:31:54 | INFO | Train Epoch: 13 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.10358 (0.10097) Boundary_loss: 0.012815 (0.012803) Loss: 0.11640 (0.11378) +2025-08-25,08:32:52 | INFO | Train Epoch: 13 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.10080 (0.10097) Boundary_loss: 0.012899 (0.012804) Loss: 0.11370 (0.11378) +2025-08-25,08:33:51 | INFO | Train Epoch: 13 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.11699 (0.10107) Boundary_loss: 0.012852 (0.012804) Loss: 0.12984 (0.11387) +2025-08-25,08:34:50 | INFO | Train Epoch: 13 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.093430 (0.10102) Boundary_loss: 0.012806 (0.012804) Loss: 0.10624 (0.11383) +2025-08-25,08:35:48 | INFO | Train Epoch: 13 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.11661 (0.10112) Boundary_loss: 0.012745 (0.012804) Loss: 0.12935 (0.11392) +2025-08-25,08:36:47 | INFO | Train Epoch: 13 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.11732 (0.10121) Boundary_loss: 0.012820 (0.012804) Loss: 0.13014 (0.11402) +2025-08-25,08:37:46 | INFO | Train Epoch: 13 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.10772 (0.10125) Boundary_loss: 0.012687 (0.012803) Loss: 0.12041 (0.11405) +2025-08-25,08:38:44 | INFO | Train Epoch: 13 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.10447 (0.10127) Boundary_loss: 0.012750 (0.012803) Loss: 0.11722 (0.11407) +2025-08-25,08:39:43 | INFO | Train Epoch: 13 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.088108 (0.10119) Boundary_loss: 0.012848 (0.012803) Loss: 0.10096 (0.11400) +2025-08-25,08:40:42 | INFO | Train Epoch: 13 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.008 Boundary Ratio: 0.097 Contrastive_loss: 0.098170 (0.10118) Boundary_loss: 0.012834 (0.012803) Loss: 0.11100 (0.11398) +2025-08-25,08:41:40 | INFO | Train Epoch: 13 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.079999 (0.10105) Boundary_loss: 0.012694 (0.012803) Loss: 0.092693 (0.11386) +2025-08-25,08:42:39 | INFO | Train Epoch: 13 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.11883 (0.10116) Boundary_loss: 0.012716 (0.012802) Loss: 0.13154 (0.11396) +2025-08-25,08:43:37 | INFO | Train Epoch: 13 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.11473 (0.10123) Boundary_loss: 0.012757 (0.012802) Loss: 0.12749 (0.11403) +2025-08-25,08:44:36 | INFO | Train Epoch: 13 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.094322 (0.10119) Boundary_loss: 0.012780 (0.012802) Loss: 0.10710 (0.11400) +2025-08-25,08:45:34 | INFO | Train Epoch: 13 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.10766 (0.10123) Boundary_loss: 0.012832 (0.012802) Loss: 0.12049 (0.11403) +2025-08-25,08:46:33 | INFO | Train Epoch: 13 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.12964 (0.10139) Boundary_loss: 0.012835 (0.012802) Loss: 0.14247 (0.11419) +2025-08-25,08:47:32 | INFO | Train Epoch: 13 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.093677 (0.10135) Boundary_loss: 0.012786 (0.012802) Loss: 0.10646 (0.11415) +2025-08-25,08:48:30 | INFO | Train Epoch: 13 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.080145 (0.10123) Boundary_loss: 0.012689 (0.012801) Loss: 0.092834 (0.11403) +2025-08-25,08:49:29 | INFO | Train Epoch: 13 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.099537 (0.10122) Boundary_loss: 0.012788 (0.012801) Loss: 0.11232 (0.11402) +2025-08-25,08:50:28 | INFO | Train Epoch: 13 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.12851 (0.10137) Boundary_loss: 0.012817 (0.012801) Loss: 0.14133 (0.11417) +2025-08-25,08:51:26 | INFO | Train Epoch: 13 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.074043 (0.10122) Boundary_loss: 0.012801 (0.012801) Loss: 0.086844 (0.11402) +2025-08-25,08:52:25 | INFO | Train Epoch: 13 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.098192 (0.10120) Boundary_loss: 0.012727 (0.012801) Loss: 0.11092 (0.11400) +2025-08-25,08:53:23 | INFO | Train Epoch: 13 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.077409 (0.10108) Boundary_loss: 0.012679 (0.012800) Loss: 0.090088 (0.11388) +2025-08-25,08:54:22 | INFO | Train Epoch: 13 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.14066 (0.10129) Boundary_loss: 0.012821 (0.012800) Loss: 0.15348 (0.11409) +2025-08-25,08:55:21 | INFO | Train Epoch: 13 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.12397 (0.10141) Boundary_loss: 0.012742 (0.012800) Loss: 0.13671 (0.11421) +2025-08-25,08:56:19 | INFO | Train Epoch: 13 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.095375 (0.10138) Boundary_loss: 0.012784 (0.012800) Loss: 0.10816 (0.11418) +2025-08-25,08:57:18 | INFO | Train Epoch: 13 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.074704 (0.10124) Boundary_loss: 0.012744 (0.012800) Loss: 0.087448 (0.11404) +2025-08-25,08:58:16 | INFO | Train Epoch: 13 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.10487 (0.10126) Boundary_loss: 0.012790 (0.012800) Loss: 0.11766 (0.11405) +2025-08-25,08:59:15 | INFO | Train Epoch: 13 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.095838 (0.10123) Boundary_loss: 0.012828 (0.012800) Loss: 0.10867 (0.11403) +2025-08-25,09:00:14 | INFO | Train Epoch: 13 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.083928 (0.10114) Boundary_loss: 0.012712 (0.012799) Loss: 0.096640 (0.11394) +2025-08-25,09:01:12 | INFO | Train Epoch: 13 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.076133 (0.10101) Boundary_loss: 0.012735 (0.012799) Loss: 0.088868 (0.11381) +2025-08-25,09:02:11 | INFO | Train Epoch: 13 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.085534 (0.10093) Boundary_loss: 0.012775 (0.012799) Loss: 0.098309 (0.11373) +2025-08-25,09:03:10 | INFO | Train Epoch: 13 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.091668 (0.10088) Boundary_loss: 0.012810 (0.012799) Loss: 0.10448 (0.11368) +2025-08-25,09:04:08 | INFO | Train Epoch: 13 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.12295 (0.10099) Boundary_loss: 0.012860 (0.012799) Loss: 0.13581 (0.11379) +2025-08-25,09:05:07 | INFO | Train Epoch: 13 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.020 Boundary Ratio: 0.097 Contrastive_loss: 0.064378 (0.10081) Boundary_loss: 0.012842 (0.012799) Loss: 0.077220 (0.11361) +2025-08-25,09:06:05 | INFO | Train Epoch: 13 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.092299 (0.10077) Boundary_loss: 0.012743 (0.012799) Loss: 0.10504 (0.11357) +2025-08-25,09:07:04 | INFO | Train Epoch: 13 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.091694 (0.10072) Boundary_loss: 0.012753 (0.012799) Loss: 0.10445 (0.11352) +2025-08-25,09:08:03 | INFO | Train Epoch: 13 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.10627 (0.10075) Boundary_loss: 0.012849 (0.012799) Loss: 0.11912 (0.11355) +2025-08-25,09:09:01 | INFO | Train Epoch: 13 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.10847 (0.10079) Boundary_loss: 0.012759 (0.012799) Loss: 0.12122 (0.11359) +2025-08-25,09:10:00 | INFO | Train Epoch: 13 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.10637 (0.10081) Boundary_loss: 0.012823 (0.012799) Loss: 0.11919 (0.11361) +2025-08-25,09:10:58 | INFO | Train Epoch: 13 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.12710 (0.10094) Boundary_loss: 0.012747 (0.012799) Loss: 0.13984 (0.11374) +2025-08-25,09:11:57 | INFO | Train Epoch: 13 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.091646 (0.10090) Boundary_loss: 0.012750 (0.012799) Loss: 0.10440 (0.11370) +2025-08-25,09:12:56 | INFO | Train Epoch: 13 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.076784 (0.10078) Boundary_loss: 0.012858 (0.012799) Loss: 0.089642 (0.11358) +2025-08-25,09:13:54 | INFO | Train Epoch: 13 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.10352 (0.10079) Boundary_loss: 0.012791 (0.012799) Loss: 0.11631 (0.11359) +2025-08-25,09:14:53 | INFO | Train Epoch: 13 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.096313 (0.10077) Boundary_loss: 0.012856 (0.012799) Loss: 0.10917 (0.11357) +2025-08-25,09:15:51 | INFO | Train Epoch: 13 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.11679 (0.10085) Boundary_loss: 0.012830 (0.012799) Loss: 0.12962 (0.11365) +2025-08-25,09:16:50 | INFO | Train Epoch: 13 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.098531 (0.10084) Boundary_loss: 0.012877 (0.012800) Loss: 0.11141 (0.11364) +2025-08-25,09:17:49 | INFO | Train Epoch: 13 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.097043 (0.10082) Boundary_loss: 0.012872 (0.012800) Loss: 0.10992 (0.11362) +2025-08-25,09:18:47 | INFO | Train Epoch: 13 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.13717 (0.10099) Boundary_loss: 0.012735 (0.012800) Loss: 0.14991 (0.11379) +2025-08-25,09:19:46 | INFO | Train Epoch: 13 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.076388 (0.10088) Boundary_loss: 0.012794 (0.012800) Loss: 0.089182 (0.11368) +2025-08-25,09:20:44 | INFO | Train Epoch: 13 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.10148 (0.10088) Boundary_loss: 0.012845 (0.012800) Loss: 0.11432 (0.11368) +2025-08-25,09:21:43 | INFO | Train Epoch: 13 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.061876 (0.10070) Boundary_loss: 0.012869 (0.012800) Loss: 0.074745 (0.11350) +2025-08-25,09:22:42 | INFO | Train Epoch: 13 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.099820 (0.10069) Boundary_loss: 0.012876 (0.012801) Loss: 0.11270 (0.11349) +2025-08-25,09:23:40 | INFO | Train Epoch: 13 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.094579 (0.10066) Boundary_loss: 0.012845 (0.012801) Loss: 0.10742 (0.11347) +2025-08-25,09:24:39 | INFO | Train Epoch: 13 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.033 Boundary Ratio: 0.097 Contrastive_loss: 0.073493 (0.10054) Boundary_loss: 0.012719 (0.012800) Loss: 0.086212 (0.11334) +2025-08-25,09:25:38 | INFO | Train Epoch: 13 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.086688 (0.10048) Boundary_loss: 0.012717 (0.012800) Loss: 0.099404 (0.11328) +2025-08-25,09:26:36 | INFO | Train Epoch: 13 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.064126 (0.10031) Boundary_loss: 0.012778 (0.012800) Loss: 0.076904 (0.11311) +2025-08-25,09:27:35 | INFO | Train Epoch: 13 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.098154 (0.10030) Boundary_loss: 0.012773 (0.012800) Loss: 0.11093 (0.11310) +2025-08-25,09:28:33 | INFO | Train Epoch: 13 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.10693 (0.10033) Boundary_loss: 0.012775 (0.012800) Loss: 0.11971 (0.11313) +2025-08-25,09:29:32 | INFO | Train Epoch: 13 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.092750 (0.10030) Boundary_loss: 0.012775 (0.012800) Loss: 0.10552 (0.11310) +2025-08-25,09:30:31 | INFO | Train Epoch: 13 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.12260 (0.10040) Boundary_loss: 0.012764 (0.012799) Loss: 0.13537 (0.11320) +2025-08-25,09:31:29 | INFO | Train Epoch: 13 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.084214 (0.10033) Boundary_loss: 0.012800 (0.012799) Loss: 0.097014 (0.11312) +2025-08-25,09:32:28 | INFO | Train Epoch: 13 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.095380 (0.10030) Boundary_loss: 0.012853 (0.012800) Loss: 0.10823 (0.11310) +2025-08-25,09:33:27 | INFO | Train Epoch: 13 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.090160 (0.10026) Boundary_loss: 0.012739 (0.012799) Loss: 0.10290 (0.11306) +2025-08-25,09:34:25 | INFO | Train Epoch: 13 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.11774 (0.10034) Boundary_loss: 0.012669 (0.012799) Loss: 0.13041 (0.11313) +2025-08-25,09:35:24 | INFO | Train Epoch: 13 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.086159 (0.10027) Boundary_loss: 0.012842 (0.012799) Loss: 0.099000 (0.11307) +2025-08-25,09:36:23 | INFO | Train Epoch: 13 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.070234 (0.10014) Boundary_loss: 0.012737 (0.012799) Loss: 0.082971 (0.11294) +2025-08-25,09:37:21 | INFO | Train Epoch: 13 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.076778 (0.10004) Boundary_loss: 0.012862 (0.012799) Loss: 0.089641 (0.11284) +2025-08-25,09:38:20 | INFO | Train Epoch: 13 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.12931 (0.10017) Boundary_loss: 0.012739 (0.012799) Loss: 0.14205 (0.11297) +2025-08-25,09:39:18 | INFO | Train Epoch: 13 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.074958 (0.10006) Boundary_loss: 0.012729 (0.012798) Loss: 0.087686 (0.11286) +2025-08-25,09:40:17 | INFO | Train Epoch: 13 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.11245 (0.10011) Boundary_loss: 0.012768 (0.012798) Loss: 0.12521 (0.11291) +2025-08-25,09:41:16 | INFO | Train Epoch: 13 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.090354 (0.10007) Boundary_loss: 0.012732 (0.012798) Loss: 0.10309 (0.11287) +2025-08-25,09:42:14 | INFO | Train Epoch: 13 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.11731 (0.10014) Boundary_loss: 0.012909 (0.012799) Loss: 0.13022 (0.11294) +2025-08-25,09:43:13 | INFO | Train Epoch: 13 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.098560 (0.10014) Boundary_loss: 0.012804 (0.012799) Loss: 0.11136 (0.11294) +2025-08-25,09:44:12 | INFO | Train Epoch: 13 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.10118 (0.10014) Boundary_loss: 0.012820 (0.012799) Loss: 0.11400 (0.11294) +2025-08-25,09:45:10 | INFO | Train Epoch: 13 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.096753 (0.10013) Boundary_loss: 0.012855 (0.012799) Loss: 0.10961 (0.11293) +2025-08-25,09:46:09 | INFO | Train Epoch: 13 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.080173 (0.10004) Boundary_loss: 0.012853 (0.012799) Loss: 0.093026 (0.11284) +2025-08-25,09:47:07 | INFO | Train Epoch: 13 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.091349 (0.10001) Boundary_loss: 0.012784 (0.012799) Loss: 0.10413 (0.11281) +2025-08-25,09:48:06 | INFO | Train Epoch: 13 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.096027 (0.099992) Boundary_loss: 0.012864 (0.012799) Loss: 0.10889 (0.11279) +2025-08-25,09:49:05 | INFO | Train Epoch: 13 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.072576 (0.099879) Boundary_loss: 0.012806 (0.012799) Loss: 0.085382 (0.11268) +2025-08-25,09:50:04 | INFO | Train Epoch: 13 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.12795 (0.099994) Boundary_loss: 0.012715 (0.012799) Loss: 0.14067 (0.11279) +2025-08-25,09:51:02 | INFO | Train Epoch: 13 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.080515 (0.099915) Boundary_loss: 0.012799 (0.012799) Loss: 0.093314 (0.11271) +2025-08-25,09:52:01 | INFO | Train Epoch: 13 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.15589 (0.10014) Boundary_loss: 0.012760 (0.012799) Loss: 0.16865 (0.11294) +2025-08-25,09:52:59 | INFO | Train Epoch: 13 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.082852 (0.10007) Boundary_loss: 0.012799 (0.012799) Loss: 0.095651 (0.11287) +2025-08-25,09:53:58 | INFO | Train Epoch: 13 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.11117 (0.10012) Boundary_loss: 0.012878 (0.012799) Loss: 0.12405 (0.11292) +2025-08-25,09:54:57 | INFO | Train Epoch: 13 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.12334 (0.10021) Boundary_loss: 0.012797 (0.012799) Loss: 0.13613 (0.11301) +2025-08-25,09:55:55 | INFO | Train Epoch: 13 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.071134 (0.10009) Boundary_loss: 0.012851 (0.012799) Loss: 0.083985 (0.11289) +2025-08-25,09:56:54 | INFO | Train Epoch: 13 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.080755 (0.10002) Boundary_loss: 0.012773 (0.012799) Loss: 0.093529 (0.11282) +2025-08-25,09:57:52 | INFO | Train Epoch: 13 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.084837 (0.099957) Boundary_loss: 0.012926 (0.012800) Loss: 0.097763 (0.11276) +2025-08-25,09:58:51 | INFO | Train Epoch: 13 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.052004 (0.099767) Boundary_loss: 0.012848 (0.012800) Loss: 0.064852 (0.11257) +2025-08-25,09:59:50 | INFO | Train Epoch: 13 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.071093 (0.099654) Boundary_loss: 0.012755 (0.012800) Loss: 0.083848 (0.11245) +2025-08-25,10:00:48 | INFO | Train Epoch: 13 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.091528 (0.099623) Boundary_loss: 0.012797 (0.012800) Loss: 0.10432 (0.11242) +2025-08-25,10:01:47 | INFO | Train Epoch: 13 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.097132 (0.099613) Boundary_loss: 0.012879 (0.012800) Loss: 0.11001 (0.11241) +2025-08-25,10:02:46 | INFO | Train Epoch: 13 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.10679 (0.099641) Boundary_loss: 0.012870 (0.012800) Loss: 0.11966 (0.11244) +2025-08-25,10:03:44 | INFO | Train Epoch: 13 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.10875 (0.099676) Boundary_loss: 0.012888 (0.012801) Loss: 0.12164 (0.11248) +2025-08-25,10:04:43 | INFO | Train Epoch: 13 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.11266 (0.099726) Boundary_loss: 0.012786 (0.012801) Loss: 0.12545 (0.11253) +2025-08-25,10:05:41 | INFO | Train Epoch: 13 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.12792 (0.099835) Boundary_loss: 0.012720 (0.012800) Loss: 0.14064 (0.11263) +2025-08-25,10:06:40 | INFO | Train Epoch: 13 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.10584 (0.099858) Boundary_loss: 0.012805 (0.012800) Loss: 0.11865 (0.11266) +2025-08-25,10:07:39 | INFO | Train Epoch: 13 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.086732 (0.099808) Boundary_loss: 0.012797 (0.012800) Loss: 0.099529 (0.11261) +2025-08-25,10:08:37 | INFO | Train Epoch: 13 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.079498 (0.099730) Boundary_loss: 0.012902 (0.012801) Loss: 0.092400 (0.11253) +2025-08-25,10:09:36 | INFO | Train Epoch: 13 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.11812 (0.099800) Boundary_loss: 0.012888 (0.012801) Loss: 0.13101 (0.11260) +2025-08-25,10:10:34 | INFO | Train Epoch: 13 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.091058 (0.099767) Boundary_loss: 0.012843 (0.012801) Loss: 0.10390 (0.11257) +2025-08-25,10:11:33 | INFO | Train Epoch: 13 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.073577 (0.099669) Boundary_loss: 0.012880 (0.012801) Loss: 0.086458 (0.11247) +2025-08-25,10:12:32 | INFO | Train Epoch: 13 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.088337 (0.099626) Boundary_loss: 0.012814 (0.012802) Loss: 0.10115 (0.11243) +2025-08-25,10:13:30 | INFO | Train Epoch: 13 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.085554 (0.099574) Boundary_loss: 0.012819 (0.012802) Loss: 0.098373 (0.11238) +2025-08-25,10:14:29 | INFO | Train Epoch: 13 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.11710 (0.099639) Boundary_loss: 0.012913 (0.012802) Loss: 0.13001 (0.11244) +2025-08-25,10:15:28 | INFO | Train Epoch: 13 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.11008 (0.099677) Boundary_loss: 0.012766 (0.012802) Loss: 0.12284 (0.11248) +2025-08-25,10:16:26 | INFO | Train Epoch: 13 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.089507 (0.099640) Boundary_loss: 0.012825 (0.012802) Loss: 0.10233 (0.11244) +2025-08-25,10:17:25 | INFO | Train Epoch: 13 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.12225 (0.099723) Boundary_loss: 0.012727 (0.012802) Loss: 0.13498 (0.11252) +2025-08-25,10:18:23 | INFO | Train Epoch: 13 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.071650 (0.099620) Boundary_loss: 0.012772 (0.012802) Loss: 0.084422 (0.11242) +2025-08-25,10:19:22 | INFO | Train Epoch: 13 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.082445 (0.099558) Boundary_loss: 0.012758 (0.012801) Loss: 0.095202 (0.11236) +2025-08-25,10:20:20 | INFO | Train Epoch: 13 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.086650 (0.099511) Boundary_loss: 0.012776 (0.012801) Loss: 0.099426 (0.11231) +2025-08-25,10:21:19 | INFO | Train Epoch: 13 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.13495 (0.099639) Boundary_loss: 0.012822 (0.012801) Loss: 0.14777 (0.11244) +2025-08-25,10:22:18 | INFO | Train Epoch: 13 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.10455 (0.099657) Boundary_loss: 0.012778 (0.012801) Loss: 0.11733 (0.11246) +2025-08-25,10:23:16 | INFO | Train Epoch: 13 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.355 Boundary Ratio: 0.099 Contrastive_loss: 0.094124 (0.099637) Boundary_loss: 0.012826 (0.012801) Loss: 0.10695 (0.11244) +2025-08-25,10:24:15 | INFO | Train Epoch: 13 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.079885 (0.099566) Boundary_loss: 0.012853 (0.012802) Loss: 0.092738 (0.11237) +2025-08-25,10:25:13 | INFO | Train Epoch: 13 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.087558 (0.099523) Boundary_loss: 0.012721 (0.012801) Loss: 0.10028 (0.11232) +2025-08-25,10:26:12 | INFO | Train Epoch: 13 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.13777 (0.099659) Boundary_loss: 0.012766 (0.012801) Loss: 0.15054 (0.11246) +2025-08-25,10:27:11 | INFO | Train Epoch: 13 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.11918 (0.099728) Boundary_loss: 0.012858 (0.012801) Loss: 0.13204 (0.11253) +2025-08-25,10:28:09 | INFO | Train Epoch: 13 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.424 Boundary Ratio: 0.099 Contrastive_loss: 0.088770 (0.099690) Boundary_loss: 0.012760 (0.012801) Loss: 0.10153 (0.11249) +2025-08-25,10:29:08 | INFO | Train Epoch: 13 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.089895 (0.099655) Boundary_loss: 0.012798 (0.012801) Loss: 0.10269 (0.11246) +2025-08-25,10:30:06 | INFO | Train Epoch: 13 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.11678 (0.099715) Boundary_loss: 0.012801 (0.012801) Loss: 0.12958 (0.11252) +2025-08-25,10:31:05 | INFO | Train Epoch: 13 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.14829 (0.099885) Boundary_loss: 0.012925 (0.012802) Loss: 0.16121 (0.11269) +2025-08-25,10:32:04 | INFO | Train Epoch: 13 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.10228 (0.099894) Boundary_loss: 0.012769 (0.012802) Loss: 0.11505 (0.11270) +2025-08-25,10:33:02 | INFO | Train Epoch: 13 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.064676 (0.099771) Boundary_loss: 0.012825 (0.012802) Loss: 0.077500 (0.11257) +2025-08-25,10:34:01 | INFO | Train Epoch: 13 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.11747 (0.099833) Boundary_loss: 0.012797 (0.012802) Loss: 0.13027 (0.11263) +2025-08-25,10:34:59 | INFO | Train Epoch: 13 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.11167 (0.099873) Boundary_loss: 0.012778 (0.012802) Loss: 0.12445 (0.11267) +2025-08-25,10:35:58 | INFO | Train Epoch: 13 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.10874 (0.099904) Boundary_loss: 0.012758 (0.012801) Loss: 0.12150 (0.11271) +2025-08-25,10:36:57 | INFO | Train Epoch: 13 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.096391 (0.099892) Boundary_loss: 0.012730 (0.012801) Loss: 0.10912 (0.11269) +2025-08-25,10:37:55 | INFO | Train Epoch: 13 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.504 Boundary Ratio: 0.100 Contrastive_loss: 0.10117 (0.099896) Boundary_loss: 0.012701 (0.012801) Loss: 0.11387 (0.11270) +2025-08-25,10:38:54 | INFO | Train Epoch: 13 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.079291 (0.099826) Boundary_loss: 0.012808 (0.012801) Loss: 0.092099 (0.11263) +2025-08-25,10:39:53 | INFO | Train Epoch: 13 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.099800 (0.099826) Boundary_loss: 0.012724 (0.012801) Loss: 0.11252 (0.11263) +2025-08-25,10:40:51 | INFO | Train Epoch: 13 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.093167 (0.099803) Boundary_loss: 0.012771 (0.012800) Loss: 0.10594 (0.11260) +2025-08-25,10:41:50 | INFO | Train Epoch: 13 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.10037 (0.099805) Boundary_loss: 0.012740 (0.012800) Loss: 0.11311 (0.11261) +2025-08-25,10:42:48 | INFO | Train Epoch: 13 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.091320 (0.099777) Boundary_loss: 0.012817 (0.012800) Loss: 0.10414 (0.11258) +2025-08-25,10:43:47 | INFO | Train Epoch: 13 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.006 Boundary Ratio: 0.097 Contrastive_loss: 0.10768 (0.099803) Boundary_loss: 0.012801 (0.012800) Loss: 0.12048 (0.11260) +2025-08-25,10:44:45 | INFO | Train Epoch: 13 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.10106 (0.099807) Boundary_loss: 0.012853 (0.012800) Loss: 0.11391 (0.11261) +2025-08-25,10:45:44 | INFO | Train Epoch: 13 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.10425 (0.099822) Boundary_loss: 0.012836 (0.012801) Loss: 0.11709 (0.11262) +2025-08-25,10:46:43 | INFO | Train Epoch: 13 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.10083 (0.099826) Boundary_loss: 0.012818 (0.012801) Loss: 0.11365 (0.11263) +2025-08-25,10:47:41 | INFO | Train Epoch: 13 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.095969 (0.099813) Boundary_loss: 0.012829 (0.012801) Loss: 0.10880 (0.11261) +2025-08-25,10:48:40 | INFO | Train Epoch: 13 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.080599 (0.099750) Boundary_loss: 0.012829 (0.012801) Loss: 0.093429 (0.11255) +2025-08-25,10:49:39 | INFO | Train Epoch: 13 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.096585 (0.099739) Boundary_loss: 0.012773 (0.012801) Loss: 0.10936 (0.11254) +2025-08-25,10:50:37 | INFO | Train Epoch: 13 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.080326 (0.099676) Boundary_loss: 0.012734 (0.012801) Loss: 0.093060 (0.11248) +2025-08-25,10:51:36 | INFO | Train Epoch: 13 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.12478 (0.099758) Boundary_loss: 0.012822 (0.012801) Loss: 0.13760 (0.11256) +2025-08-25,10:52:35 | INFO | Train Epoch: 13 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.084898 (0.099709) Boundary_loss: 0.012840 (0.012801) Loss: 0.097738 (0.11251) +2025-08-25,10:53:33 | INFO | Train Epoch: 13 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.096259 (0.099698) Boundary_loss: 0.012857 (0.012801) Loss: 0.10912 (0.11250) +2025-08-25,10:54:32 | INFO | Train Epoch: 13 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.016 Boundary Ratio: 0.097 Contrastive_loss: 0.082122 (0.099641) Boundary_loss: 0.012896 (0.012801) Loss: 0.095018 (0.11244) +2025-08-25,10:55:30 | INFO | Train Epoch: 13 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.12786 (0.099732) Boundary_loss: 0.012755 (0.012801) Loss: 0.14061 (0.11253) +2025-08-25,10:56:29 | INFO | Train Epoch: 13 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.094682 (0.099716) Boundary_loss: 0.012802 (0.012801) Loss: 0.10748 (0.11252) +2025-08-25,10:57:27 | INFO | Train Epoch: 13 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.10690 (0.099739) Boundary_loss: 0.012760 (0.012801) Loss: 0.11966 (0.11254) +2025-08-25,10:58:26 | INFO | Train Epoch: 13 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.11385 (0.099784) Boundary_loss: 0.012834 (0.012801) Loss: 0.12668 (0.11258) +2025-08-25,10:59:25 | INFO | Train Epoch: 13 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.207 Boundary Ratio: 0.098 Contrastive_loss: 0.11134 (0.099821) Boundary_loss: 0.012849 (0.012801) Loss: 0.12419 (0.11262) +2025-08-25,11:00:23 | INFO | Train Epoch: 13 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.088780 (0.099786) Boundary_loss: 0.012673 (0.012801) Loss: 0.10145 (0.11259) +2025-08-25,11:01:22 | INFO | Train Epoch: 13 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.549 Boundary Ratio: 0.100 Contrastive_loss: 0.10511 (0.099802) Boundary_loss: 0.012751 (0.012801) Loss: 0.11786 (0.11260) +2025-08-25,11:02:20 | INFO | Train Epoch: 13 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.090531 (0.099773) Boundary_loss: 0.012752 (0.012800) Loss: 0.10328 (0.11257) +2025-08-25,11:03:19 | INFO | Train Epoch: 13 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.10404 (0.099787) Boundary_loss: 0.012908 (0.012801) Loss: 0.11695 (0.11259) +2025-08-25,11:04:18 | INFO | Train Epoch: 13 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.083394 (0.099735) Boundary_loss: 0.012715 (0.012801) Loss: 0.096109 (0.11254) +2025-08-25,11:05:16 | INFO | Train Epoch: 13 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.11194 (0.099773) Boundary_loss: 0.012847 (0.012801) Loss: 0.12479 (0.11257) +2025-08-25,11:06:15 | INFO | Train Epoch: 13 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.10360 (0.099785) Boundary_loss: 0.012672 (0.012800) Loss: 0.11627 (0.11259) +2025-08-25,11:07:14 | INFO | Train Epoch: 13 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.095776 (0.099773) Boundary_loss: 0.012812 (0.012800) Loss: 0.10859 (0.11257) +2025-08-25,11:08:12 | INFO | Train Epoch: 13 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.11075 (0.099807) Boundary_loss: 0.012797 (0.012800) Loss: 0.12355 (0.11261) +2025-08-25,11:09:11 | INFO | Train Epoch: 13 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.10169 (0.099813) Boundary_loss: 0.012787 (0.012800) Loss: 0.11448 (0.11261) +2025-08-25,11:10:10 | INFO | Train Epoch: 13 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.12645 (0.099894) Boundary_loss: 0.012850 (0.012800) Loss: 0.13930 (0.11269) +2025-08-25,11:11:08 | INFO | Train Epoch: 13 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.11077 (0.099928) Boundary_loss: 0.012878 (0.012801) Loss: 0.12365 (0.11273) +2025-08-25,11:12:07 | INFO | Train Epoch: 13 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.10319 (0.099938) Boundary_loss: 0.012805 (0.012801) Loss: 0.11600 (0.11274) +2025-08-25,11:13:06 | INFO | Train Epoch: 13 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.059403 (0.099814) Boundary_loss: 0.012698 (0.012800) Loss: 0.072101 (0.11261) +2025-08-25,11:14:04 | INFO | Train Epoch: 13 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.070416 (0.099725) Boundary_loss: 0.012789 (0.012800) Loss: 0.083204 (0.11253) +2025-08-25,11:15:03 | INFO | Train Epoch: 13 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.076431 (0.099655) Boundary_loss: 0.012814 (0.012800) Loss: 0.089245 (0.11246) +2025-08-25,11:16:02 | INFO | Train Epoch: 13 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.11788 (0.099710) Boundary_loss: 0.012731 (0.012800) Loss: 0.13062 (0.11251) +2025-08-25,11:17:00 | INFO | Train Epoch: 13 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.10223 (0.099717) Boundary_loss: 0.012800 (0.012800) Loss: 0.11503 (0.11252) +2025-08-25,11:17:59 | INFO | Train Epoch: 13 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.098144 (0.099713) Boundary_loss: 0.012808 (0.012800) Loss: 0.11095 (0.11251) +2025-08-25,11:18:57 | INFO | Train Epoch: 13 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.14602 (0.099851) Boundary_loss: 0.012817 (0.012800) Loss: 0.15884 (0.11265) +2025-08-25,11:19:56 | INFO | Train Epoch: 13 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.11230 (0.099888) Boundary_loss: 0.012764 (0.012800) Loss: 0.12506 (0.11269) +2025-08-25,11:20:55 | INFO | Train Epoch: 13 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.092145 (0.099865) Boundary_loss: 0.012850 (0.012800) Loss: 0.10500 (0.11267) +2025-08-25,11:21:53 | INFO | Train Epoch: 13 [17254912/26365952 (65%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.10807 (0.099889) Boundary_loss: 0.012867 (0.012800) Loss: 0.12094 (0.11269) +2025-08-25,11:22:52 | INFO | Train Epoch: 13 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.10954 (0.099918) Boundary_loss: 0.012843 (0.012801) Loss: 0.12238 (0.11272) +2025-08-25,11:23:51 | INFO | Train Epoch: 13 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.073974 (0.099841) Boundary_loss: 0.012804 (0.012801) Loss: 0.086778 (0.11264) +2025-08-25,11:24:49 | INFO | Train Epoch: 13 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.082439 (0.099790) Boundary_loss: 0.012801 (0.012801) Loss: 0.095240 (0.11259) +2025-08-25,11:25:48 | INFO | Train Epoch: 13 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.12705 (0.099870) Boundary_loss: 0.012777 (0.012801) Loss: 0.13982 (0.11267) +2025-08-25,11:26:46 | INFO | Train Epoch: 13 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.12256 (0.099936) Boundary_loss: 0.012794 (0.012801) Loss: 0.13535 (0.11274) +2025-08-25,11:27:45 | INFO | Train Epoch: 13 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.074681 (0.099863) Boundary_loss: 0.012846 (0.012801) Loss: 0.087528 (0.11266) +2025-08-25,11:28:44 | INFO | Train Epoch: 13 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.092449 (0.099841) Boundary_loss: 0.012828 (0.012801) Loss: 0.10528 (0.11264) +2025-08-25,11:29:42 | INFO | Train Epoch: 13 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.10542 (0.099857) Boundary_loss: 0.012779 (0.012801) Loss: 0.11820 (0.11266) +2025-08-25,11:30:41 | INFO | Train Epoch: 13 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.10557 (0.099874) Boundary_loss: 0.012869 (0.012801) Loss: 0.11844 (0.11267) +2025-08-25,11:31:39 | INFO | Train Epoch: 13 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.11169 (0.099908) Boundary_loss: 0.012779 (0.012801) Loss: 0.12447 (0.11271) +2025-08-25,11:32:38 | INFO | Train Epoch: 13 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.11901 (0.099963) Boundary_loss: 0.012977 (0.012801) Loss: 0.13199 (0.11276) +2025-08-25,11:33:37 | INFO | Train Epoch: 13 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.085410 (0.099921) Boundary_loss: 0.012811 (0.012801) Loss: 0.098221 (0.11272) +2025-08-25,11:34:35 | INFO | Train Epoch: 13 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.085005 (0.099878) Boundary_loss: 0.012733 (0.012801) Loss: 0.097738 (0.11268) +2025-08-25,11:35:34 | INFO | Train Epoch: 13 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.071120 (0.099797) Boundary_loss: 0.012803 (0.012801) Loss: 0.083922 (0.11260) +2025-08-25,11:36:32 | INFO | Train Epoch: 13 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.059 Boundary Ratio: 0.097 Contrastive_loss: 0.083997 (0.099752) Boundary_loss: 0.012778 (0.012801) Loss: 0.096775 (0.11255) +2025-08-25,11:37:31 | INFO | Train Epoch: 13 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.12103 (0.099812) Boundary_loss: 0.012909 (0.012801) Loss: 0.13394 (0.11261) +2025-08-25,11:38:30 | INFO | Train Epoch: 13 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.096517 (0.099803) Boundary_loss: 0.012834 (0.012801) Loss: 0.10935 (0.11260) +2025-08-25,11:39:28 | INFO | Train Epoch: 13 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.094271 (0.099787) Boundary_loss: 0.012799 (0.012801) Loss: 0.10707 (0.11259) +2025-08-25,11:40:27 | INFO | Train Epoch: 13 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.082932 (0.099740) Boundary_loss: 0.012814 (0.012801) Loss: 0.095746 (0.11254) +2025-08-25,11:41:26 | INFO | Train Epoch: 13 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.078480 (0.099681) Boundary_loss: 0.012809 (0.012802) Loss: 0.091289 (0.11248) +2025-08-25,11:42:24 | INFO | Train Epoch: 13 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.10348 (0.099691) Boundary_loss: 0.012818 (0.012802) Loss: 0.11629 (0.11249) +2025-08-25,11:43:23 | INFO | Train Epoch: 13 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.11795 (0.099742) Boundary_loss: 0.012804 (0.012802) Loss: 0.13075 (0.11254) +2025-08-25,11:44:22 | INFO | Train Epoch: 13 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.11141 (0.099774) Boundary_loss: 0.012783 (0.012802) Loss: 0.12419 (0.11258) +2025-08-25,11:45:20 | INFO | Train Epoch: 13 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.061989 (0.099670) Boundary_loss: 0.012843 (0.012802) Loss: 0.074831 (0.11247) +2025-08-25,11:46:19 | INFO | Train Epoch: 13 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.076200 (0.099605) Boundary_loss: 0.012804 (0.012802) Loss: 0.089004 (0.11241) +2025-08-25,11:47:17 | INFO | Train Epoch: 13 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.079179 (0.099549) Boundary_loss: 0.012892 (0.012802) Loss: 0.092071 (0.11235) +2025-08-25,11:48:16 | INFO | Train Epoch: 13 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.10324 (0.099559) Boundary_loss: 0.012741 (0.012802) Loss: 0.11598 (0.11236) +2025-08-25,11:49:15 | INFO | Train Epoch: 13 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.12295 (0.099623) Boundary_loss: 0.012857 (0.012802) Loss: 0.13580 (0.11243) +2025-08-25,11:50:13 | INFO | Train Epoch: 13 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.12468 (0.099691) Boundary_loss: 0.012725 (0.012802) Loss: 0.13740 (0.11249) +2025-08-25,11:51:12 | INFO | Train Epoch: 13 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.090841 (0.099667) Boundary_loss: 0.012705 (0.012801) Loss: 0.10355 (0.11247) +2025-08-25,11:52:11 | INFO | Train Epoch: 13 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.088624 (0.099637) Boundary_loss: 0.012857 (0.012802) Loss: 0.10148 (0.11244) +2025-08-25,11:53:09 | INFO | Train Epoch: 13 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.076437 (0.099575) Boundary_loss: 0.012805 (0.012802) Loss: 0.089242 (0.11238) +2025-08-25,11:54:08 | INFO | Train Epoch: 13 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.082282 (0.099528) Boundary_loss: 0.012850 (0.012802) Loss: 0.095132 (0.11233) +2025-08-25,11:55:07 | INFO | Train Epoch: 13 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.10572 (0.099545) Boundary_loss: 0.012852 (0.012802) Loss: 0.11858 (0.11235) +2025-08-25,11:56:05 | INFO | Train Epoch: 13 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.12243 (0.099606) Boundary_loss: 0.012833 (0.012802) Loss: 0.13526 (0.11241) +2025-08-25,11:57:04 | INFO | Train Epoch: 13 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.11293 (0.099642) Boundary_loss: 0.012827 (0.012802) Loss: 0.12576 (0.11244) +2025-08-25,11:58:03 | INFO | Train Epoch: 13 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.10697 (0.099661) Boundary_loss: 0.012763 (0.012802) Loss: 0.11973 (0.11246) +2025-08-25,11:59:01 | INFO | Train Epoch: 13 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.077320 (0.099602) Boundary_loss: 0.012759 (0.012802) Loss: 0.090079 (0.11240) +2025-08-25,12:00:00 | INFO | Train Epoch: 13 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.098709 (0.099600) Boundary_loss: 0.012765 (0.012802) Loss: 0.11147 (0.11240) +2025-08-25,12:00:58 | INFO | Train Epoch: 13 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.076358 (0.099538) Boundary_loss: 0.012736 (0.012801) Loss: 0.089094 (0.11234) +2025-08-25,12:01:57 | INFO | Train Epoch: 13 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.10515 (0.099553) Boundary_loss: 0.012733 (0.012801) Loss: 0.11788 (0.11235) +2025-08-25,12:02:56 | INFO | Train Epoch: 13 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.077799 (0.099496) Boundary_loss: 0.012738 (0.012801) Loss: 0.090538 (0.11230) +2025-08-25,12:03:54 | INFO | Train Epoch: 13 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.168 Boundary Ratio: 0.098 Contrastive_loss: 0.073293 (0.099427) Boundary_loss: 0.012814 (0.012801) Loss: 0.086107 (0.11223) +2025-08-25,12:04:53 | INFO | Train Epoch: 13 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.094751 (0.099415) Boundary_loss: 0.012808 (0.012801) Loss: 0.10756 (0.11222) +2025-08-25,12:05:51 | INFO | Train Epoch: 13 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.082465 (0.099370) Boundary_loss: 0.012796 (0.012801) Loss: 0.095262 (0.11217) +2025-08-25,12:06:50 | INFO | Train Epoch: 13 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.066628 (0.099285) Boundary_loss: 0.012834 (0.012801) Loss: 0.079462 (0.11209) +2025-08-25,12:07:49 | INFO | Train Epoch: 13 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.075796 (0.099224) Boundary_loss: 0.012765 (0.012801) Loss: 0.088561 (0.11203) +2025-08-25,12:08:47 | INFO | Train Epoch: 13 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.060270 (0.099123) Boundary_loss: 0.012719 (0.012801) Loss: 0.072989 (0.11192) +2025-08-25,12:09:46 | INFO | Train Epoch: 13 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.11759 (0.099171) Boundary_loss: 0.012770 (0.012801) Loss: 0.13036 (0.11197) +2025-08-25,12:10:45 | INFO | Train Epoch: 13 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.068 Boundary Ratio: 0.097 Contrastive_loss: 0.092007 (0.099152) Boundary_loss: 0.012850 (0.012801) Loss: 0.10486 (0.11195) +2025-08-25,12:11:43 | INFO | Train Epoch: 13 [19866112/26365952 (75%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.064902 (0.099064) Boundary_loss: 0.012828 (0.012801) Loss: 0.077731 (0.11187) +2025-08-25,12:12:42 | INFO | Train Epoch: 13 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.097686 (0.099061) Boundary_loss: 0.012822 (0.012801) Loss: 0.11051 (0.11186) +2025-08-25,12:13:40 | INFO | Train Epoch: 13 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.10463 (0.099075) Boundary_loss: 0.012850 (0.012801) Loss: 0.11748 (0.11188) +2025-08-25,12:14:39 | INFO | Train Epoch: 13 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.075216 (0.099014) Boundary_loss: 0.012840 (0.012801) Loss: 0.088056 (0.11182) +2025-08-25,12:15:37 | INFO | Train Epoch: 13 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.498 Boundary Ratio: 0.099 Contrastive_loss: 0.10029 (0.099017) Boundary_loss: 0.012824 (0.012801) Loss: 0.11311 (0.11182) +2025-08-25,12:16:36 | INFO | Train Epoch: 13 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.11187 (0.099050) Boundary_loss: 0.012804 (0.012801) Loss: 0.12468 (0.11185) +2025-08-25,12:17:35 | INFO | Train Epoch: 13 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.10121 (0.099056) Boundary_loss: 0.012818 (0.012801) Loss: 0.11403 (0.11186) +2025-08-25,12:18:33 | INFO | Train Epoch: 13 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.091954 (0.099038) Boundary_loss: 0.012814 (0.012801) Loss: 0.10477 (0.11184) +2025-08-25,12:19:32 | INFO | Train Epoch: 13 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.090324 (0.099016) Boundary_loss: 0.012820 (0.012802) Loss: 0.10314 (0.11182) +2025-08-25,12:20:30 | INFO | Train Epoch: 13 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.12250 (0.099075) Boundary_loss: 0.012731 (0.012801) Loss: 0.13523 (0.11188) +2025-08-25,12:21:29 | INFO | Train Epoch: 13 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.084008 (0.099037) Boundary_loss: 0.012764 (0.012801) Loss: 0.096771 (0.11184) +2025-08-25,12:22:28 | INFO | Train Epoch: 13 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.11664 (0.099081) Boundary_loss: 0.012790 (0.012801) Loss: 0.12943 (0.11188) +2025-08-25,12:23:26 | INFO | Train Epoch: 13 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.10941 (0.099107) Boundary_loss: 0.012764 (0.012801) Loss: 0.12218 (0.11191) +2025-08-25,12:24:25 | INFO | Train Epoch: 13 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.10265 (0.099115) Boundary_loss: 0.012798 (0.012801) Loss: 0.11544 (0.11192) +2025-08-25,12:25:23 | INFO | Train Epoch: 13 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.098134 (0.099113) Boundary_loss: 0.012690 (0.012801) Loss: 0.11082 (0.11191) +2025-08-25,12:26:22 | INFO | Train Epoch: 13 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.11262 (0.099146) Boundary_loss: 0.012744 (0.012801) Loss: 0.12537 (0.11195) +2025-08-25,12:27:21 | INFO | Train Epoch: 13 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.086181 (0.099114) Boundary_loss: 0.012844 (0.012801) Loss: 0.099025 (0.11192) +2025-08-25,12:28:19 | INFO | Train Epoch: 13 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.060275 (0.099019) Boundary_loss: 0.012826 (0.012801) Loss: 0.073101 (0.11182) +2025-08-25,12:29:18 | INFO | Train Epoch: 13 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.072778 (0.098954) Boundary_loss: 0.012813 (0.012801) Loss: 0.085591 (0.11176) +2025-08-25,12:30:16 | INFO | Train Epoch: 13 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.11038 (0.098982) Boundary_loss: 0.012833 (0.012801) Loss: 0.12321 (0.11178) +2025-08-25,12:31:15 | INFO | Train Epoch: 13 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.093676 (0.098969) Boundary_loss: 0.012719 (0.012801) Loss: 0.10640 (0.11177) +2025-08-25,12:32:13 | INFO | Train Epoch: 13 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.092996 (0.098955) Boundary_loss: 0.012790 (0.012801) Loss: 0.10579 (0.11176) +2025-08-25,12:33:12 | INFO | Train Epoch: 13 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.088871 (0.098930) Boundary_loss: 0.012842 (0.012801) Loss: 0.10171 (0.11173) +2025-08-25,12:34:10 | INFO | Train Epoch: 13 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.082194 (0.098890) Boundary_loss: 0.012767 (0.012801) Loss: 0.094961 (0.11169) +2025-08-25,12:35:09 | INFO | Train Epoch: 13 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.14668 (0.099005) Boundary_loss: 0.012856 (0.012801) Loss: 0.15954 (0.11181) +2025-08-25,12:36:08 | INFO | Train Epoch: 13 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.092616 (0.098990) Boundary_loss: 0.012795 (0.012801) Loss: 0.10541 (0.11179) +2025-08-25,12:37:06 | INFO | Train Epoch: 13 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.092203 (0.098974) Boundary_loss: 0.012805 (0.012801) Loss: 0.10501 (0.11177) +2025-08-25,12:38:05 | INFO | Train Epoch: 13 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.613 Boundary Ratio: 0.100 Contrastive_loss: 0.10701 (0.098993) Boundary_loss: 0.012837 (0.012801) Loss: 0.11985 (0.11179) +2025-08-25,12:39:03 | INFO | Train Epoch: 13 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.080277 (0.098948) Boundary_loss: 0.012712 (0.012801) Loss: 0.092989 (0.11175) +2025-08-25,12:40:02 | INFO | Train Epoch: 13 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.11085 (0.098976) Boundary_loss: 0.012778 (0.012801) Loss: 0.12363 (0.11178) +2025-08-25,12:41:00 | INFO | Train Epoch: 13 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.098689 (0.098976) Boundary_loss: 0.012838 (0.012801) Loss: 0.11153 (0.11178) +2025-08-25,12:41:59 | INFO | Train Epoch: 13 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.092577 (0.098961) Boundary_loss: 0.012757 (0.012801) Loss: 0.10533 (0.11176) +2025-08-25,12:42:58 | INFO | Train Epoch: 13 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.061118 (0.098871) Boundary_loss: 0.012751 (0.012801) Loss: 0.073868 (0.11167) +2025-08-25,12:43:56 | INFO | Train Epoch: 13 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.10510 (0.098885) Boundary_loss: 0.012911 (0.012801) Loss: 0.11801 (0.11169) +2025-08-25,12:44:55 | INFO | Train Epoch: 13 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.12289 (0.098942) Boundary_loss: 0.012827 (0.012801) Loss: 0.13572 (0.11174) +2025-08-25,12:45:53 | INFO | Train Epoch: 13 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.094979 (0.098933) Boundary_loss: 0.012836 (0.012801) Loss: 0.10781 (0.11173) +2025-08-25,12:46:52 | INFO | Train Epoch: 13 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.073711 (0.098873) Boundary_loss: 0.012820 (0.012801) Loss: 0.086532 (0.11167) +2025-08-25,12:47:50 | INFO | Train Epoch: 13 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.086376 (0.098844) Boundary_loss: 0.012762 (0.012801) Loss: 0.099139 (0.11165) +2025-08-25,12:48:49 | INFO | Train Epoch: 13 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.10223 (0.098852) Boundary_loss: 0.012695 (0.012801) Loss: 0.11493 (0.11165) +2025-08-25,12:49:48 | INFO | Train Epoch: 13 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.10278 (0.098861) Boundary_loss: 0.012743 (0.012801) Loss: 0.11552 (0.11166) +2025-08-25,12:50:46 | INFO | Train Epoch: 13 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.11579 (0.098901) Boundary_loss: 0.012778 (0.012801) Loss: 0.12857 (0.11170) +2025-08-25,12:51:45 | INFO | Train Epoch: 13 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.12022 (0.098950) Boundary_loss: 0.012835 (0.012801) Loss: 0.13305 (0.11175) +2025-08-25,12:52:43 | INFO | Train Epoch: 13 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.12156 (0.099003) Boundary_loss: 0.012754 (0.012800) Loss: 0.13432 (0.11180) +2025-08-25,12:53:42 | INFO | Train Epoch: 13 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.085125 (0.098971) Boundary_loss: 0.012749 (0.012800) Loss: 0.097874 (0.11177) +2025-08-25,12:54:40 | INFO | Train Epoch: 13 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.10000 (0.098973) Boundary_loss: 0.012791 (0.012800) Loss: 0.11279 (0.11177) +2025-08-25,12:55:39 | INFO | Train Epoch: 13 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.410 Boundary Ratio: 0.099 Contrastive_loss: 0.090943 (0.098955) Boundary_loss: 0.012849 (0.012800) Loss: 0.10379 (0.11175) +2025-08-25,12:56:37 | INFO | Train Epoch: 13 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.11834 (0.098999) Boundary_loss: 0.012739 (0.012800) Loss: 0.13108 (0.11180) +2025-08-25,12:57:36 | INFO | Train Epoch: 13 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.068907 (0.098930) Boundary_loss: 0.012724 (0.012800) Loss: 0.081631 (0.11173) +2025-08-25,12:58:35 | INFO | Train Epoch: 13 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.12113 (0.098981) Boundary_loss: 0.012724 (0.012800) Loss: 0.13385 (0.11178) +2025-08-25,12:59:33 | INFO | Train Epoch: 13 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.090371 (0.098961) Boundary_loss: 0.012817 (0.012800) Loss: 0.10319 (0.11176) +2025-08-25,13:00:32 | INFO | Train Epoch: 13 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.371 Boundary Ratio: 0.099 Contrastive_loss: 0.10783 (0.098981) Boundary_loss: 0.012802 (0.012800) Loss: 0.12063 (0.11178) +2025-08-25,13:01:30 | INFO | Train Epoch: 13 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.060665 (0.098894) Boundary_loss: 0.012796 (0.012800) Loss: 0.073461 (0.11169) +2025-08-25,13:02:29 | INFO | Train Epoch: 13 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.091520 (0.098878) Boundary_loss: 0.012757 (0.012800) Loss: 0.10428 (0.11168) +2025-08-25,13:03:27 | INFO | Train Epoch: 13 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.082697 (0.098841) Boundary_loss: 0.012792 (0.012800) Loss: 0.095489 (0.11164) +2025-08-25,13:04:26 | INFO | Train Epoch: 13 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.10202 (0.098848) Boundary_loss: 0.012750 (0.012800) Loss: 0.11477 (0.11165) +2025-08-25,13:05:25 | INFO | Train Epoch: 13 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.082733 (0.098812) Boundary_loss: 0.012660 (0.012799) Loss: 0.095394 (0.11161) +2025-08-25,13:06:23 | INFO | Train Epoch: 13 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.11179 (0.098841) Boundary_loss: 0.012673 (0.012799) Loss: 0.12447 (0.11164) +2025-08-25,13:07:22 | INFO | Train Epoch: 13 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.069547 (0.098775) Boundary_loss: 0.012763 (0.012799) Loss: 0.082311 (0.11157) +2025-08-25,13:08:20 | INFO | Train Epoch: 13 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.11150 (0.098804) Boundary_loss: 0.012799 (0.012799) Loss: 0.12430 (0.11160) +2025-08-25,13:09:19 | INFO | Train Epoch: 13 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.091761 (0.098788) Boundary_loss: 0.012794 (0.012799) Loss: 0.10456 (0.11159) +2025-08-25,13:10:18 | INFO | Train Epoch: 13 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.11671 (0.098828) Boundary_loss: 0.012751 (0.012799) Loss: 0.12946 (0.11163) +2025-08-25,13:11:16 | INFO | Train Epoch: 13 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.084556 (0.098796) Boundary_loss: 0.012740 (0.012799) Loss: 0.097295 (0.11160) +2025-08-25,13:12:15 | INFO | Train Epoch: 13 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.13075 (0.098867) Boundary_loss: 0.012781 (0.012799) Loss: 0.14353 (0.11167) +2025-08-25,13:13:13 | INFO | Train Epoch: 13 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.094078 (0.098857) Boundary_loss: 0.012736 (0.012799) Loss: 0.10681 (0.11166) +2025-08-25,13:14:12 | INFO | Train Epoch: 13 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.094363 (0.098847) Boundary_loss: 0.012710 (0.012798) Loss: 0.10707 (0.11165) +2025-08-25,13:15:11 | INFO | Train Epoch: 13 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.065522 (0.098773) Boundary_loss: 0.012774 (0.012798) Loss: 0.078296 (0.11157) +2025-08-25,13:16:09 | INFO | Train Epoch: 13 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.072032 (0.098714) Boundary_loss: 0.012861 (0.012799) Loss: 0.084894 (0.11151) +2025-08-25,13:17:08 | INFO | Train Epoch: 13 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.085005 (0.098684) Boundary_loss: 0.012826 (0.012799) Loss: 0.097831 (0.11148) +2025-08-25,13:18:06 | INFO | Train Epoch: 13 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.071612 (0.098625) Boundary_loss: 0.012850 (0.012799) Loss: 0.084462 (0.11142) +2025-08-25,13:19:05 | INFO | Train Epoch: 13 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.12309 (0.098679) Boundary_loss: 0.012843 (0.012799) Loss: 0.13593 (0.11148) +2025-08-25,13:20:03 | INFO | Train Epoch: 13 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.079677 (0.098637) Boundary_loss: 0.012844 (0.012799) Loss: 0.092521 (0.11144) +2025-08-25,13:21:02 | INFO | Train Epoch: 13 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.090031 (0.098618) Boundary_loss: 0.012776 (0.012799) Loss: 0.10281 (0.11142) +2025-08-25,13:22:01 | INFO | Train Epoch: 13 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.080394 (0.098579) Boundary_loss: 0.012881 (0.012799) Loss: 0.093275 (0.11138) +2025-08-25,13:22:59 | INFO | Train Epoch: 13 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.10667 (0.098596) Boundary_loss: 0.012743 (0.012799) Loss: 0.11942 (0.11140) +2025-08-25,13:23:58 | INFO | Train Epoch: 13 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.459 Boundary Ratio: 0.099 Contrastive_loss: 0.10338 (0.098607) Boundary_loss: 0.012814 (0.012799) Loss: 0.11620 (0.11141) +2025-08-25,13:24:56 | INFO | Train Epoch: 13 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.097356 (0.098604) Boundary_loss: 0.012788 (0.012799) Loss: 0.11014 (0.11140) +2025-08-25,13:25:55 | INFO | Train Epoch: 13 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.082 Boundary Ratio: 0.097 Contrastive_loss: 0.14123 (0.098696) Boundary_loss: 0.012864 (0.012799) Loss: 0.15409 (0.11149) +2025-08-25,13:26:54 | INFO | Train Epoch: 13 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.078332 (0.098652) Boundary_loss: 0.012743 (0.012799) Loss: 0.091075 (0.11145) +2025-08-25,13:27:52 | INFO | Train Epoch: 13 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.068883 (0.098588) Boundary_loss: 0.012864 (0.012799) Loss: 0.081747 (0.11139) +2025-08-25,13:28:51 | INFO | Train Epoch: 13 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.088881 (0.098568) Boundary_loss: 0.012809 (0.012799) Loss: 0.10169 (0.11137) +2025-08-25,13:29:49 | INFO | Train Epoch: 13 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.084747 (0.098538) Boundary_loss: 0.012826 (0.012799) Loss: 0.097573 (0.11134) +2025-08-25,13:30:48 | INFO | Train Epoch: 13 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.11013 (0.098563) Boundary_loss: 0.012860 (0.012799) Loss: 0.12299 (0.11136) +2025-08-25,13:31:47 | INFO | Train Epoch: 13 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.099177 (0.098564) Boundary_loss: 0.012904 (0.012800) Loss: 0.11208 (0.11136) +2025-08-25,13:32:45 | INFO | Train Epoch: 13 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.060182 (0.098483) Boundary_loss: 0.012852 (0.012800) Loss: 0.073034 (0.11128) +2025-08-25,13:33:44 | INFO | Train Epoch: 13 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.434 Boundary Ratio: 0.099 Contrastive_loss: 0.12964 (0.098549) Boundary_loss: 0.012836 (0.012800) Loss: 0.14248 (0.11135) +2025-08-25,13:34:43 | INFO | Train Epoch: 13 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.10950 (0.098572) Boundary_loss: 0.012879 (0.012800) Loss: 0.12238 (0.11137) +2025-08-25,13:35:41 | INFO | Train Epoch: 13 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.14577 (0.098671) Boundary_loss: 0.012773 (0.012800) Loss: 0.15854 (0.11147) +2025-08-25,13:36:40 | INFO | Train Epoch: 13 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.094033 (0.098661) Boundary_loss: 0.012757 (0.012800) Loss: 0.10679 (0.11146) +2025-08-25,13:37:38 | INFO | Train Epoch: 13 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.089877 (0.098643) Boundary_loss: 0.012749 (0.012800) Loss: 0.10263 (0.11144) +2025-08-25,13:38:37 | INFO | Train Epoch: 13 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.097959 (0.098642) Boundary_loss: 0.012836 (0.012800) Loss: 0.11079 (0.11144) +2025-08-25,13:39:36 | INFO | Train Epoch: 13 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.10306 (0.098651) Boundary_loss: 0.012780 (0.012800) Loss: 0.11583 (0.11145) +2025-08-25,13:40:34 | INFO | Train Epoch: 13 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.096098 (0.098645) Boundary_loss: 0.012758 (0.012800) Loss: 0.10886 (0.11144) +2025-08-25,13:41:33 | INFO | Train Epoch: 13 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.10126 (0.098651) Boundary_loss: 0.012781 (0.012800) Loss: 0.11404 (0.11145) +2025-08-25,13:42:31 | INFO | Train Epoch: 13 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.099075 (0.098652) Boundary_loss: 0.012744 (0.012799) Loss: 0.11182 (0.11145) +2025-08-25,13:43:30 | INFO | Train Epoch: 13 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.077555 (0.098608) Boundary_loss: 0.012780 (0.012799) Loss: 0.090334 (0.11141) +2025-08-25,13:44:29 | INFO | Train Epoch: 13 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.093780 (0.098598) Boundary_loss: 0.012882 (0.012800) Loss: 0.10666 (0.11140) +2025-08-25,13:45:27 | INFO | Train Epoch: 13 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.11036 (0.098622) Boundary_loss: 0.012894 (0.012800) Loss: 0.12325 (0.11142) +2025-08-25,13:46:26 | INFO | Train Epoch: 13 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.095862 (0.098617) Boundary_loss: 0.012781 (0.012800) Loss: 0.10864 (0.11142) +2025-08-25,13:47:24 | INFO | Train Epoch: 13 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.11922 (0.098659) Boundary_loss: 0.012811 (0.012800) Loss: 0.13203 (0.11146) +2025-08-25,13:48:23 | INFO | Train Epoch: 13 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.077716 (0.098616) Boundary_loss: 0.012751 (0.012800) Loss: 0.090467 (0.11142) +2025-08-25,13:49:22 | INFO | Train Epoch: 13 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.078347 (0.098575) Boundary_loss: 0.012779 (0.012800) Loss: 0.091126 (0.11137) +2025-08-25,13:50:20 | INFO | Train Epoch: 13 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.076626 (0.098530) Boundary_loss: 0.012753 (0.012800) Loss: 0.089379 (0.11133) +2025-08-25,13:51:19 | INFO | Train Epoch: 13 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.12597 (0.098586) Boundary_loss: 0.012803 (0.012800) Loss: 0.13877 (0.11139) +2025-08-25,13:52:17 | INFO | Train Epoch: 13 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.073779 (0.098535) Boundary_loss: 0.012689 (0.012799) Loss: 0.086468 (0.11133) +2025-08-25,13:53:16 | INFO | Train Epoch: 13 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.338 Boundary Ratio: 0.099 Contrastive_loss: 0.073385 (0.098484) Boundary_loss: 0.012869 (0.012799) Loss: 0.086254 (0.11128) +2025-08-25,13:54:15 | INFO | Train Epoch: 13 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.097775 (0.098483) Boundary_loss: 0.012833 (0.012800) Loss: 0.11061 (0.11128) +2025-08-25,13:55:13 | INFO | Train Epoch: 13 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.11293 (0.098512) Boundary_loss: 0.012758 (0.012799) Loss: 0.12569 (0.11131) +2025-08-25,13:56:12 | INFO | Train Epoch: 13 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.10442 (0.098524) Boundary_loss: 0.012866 (0.012800) Loss: 0.11728 (0.11132) +2025-08-25,13:57:11 | INFO | Train Epoch: 13 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.089059 (0.098505) Boundary_loss: 0.012844 (0.012800) Loss: 0.10190 (0.11130) +2025-08-25,13:58:09 | INFO | Train Epoch: 13 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.094480 (0.098497) Boundary_loss: 0.012791 (0.012800) Loss: 0.10727 (0.11130) +2025-08-25,13:59:08 | INFO | Train Epoch: 13 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.059506 (0.098419) Boundary_loss: 0.012756 (0.012800) Loss: 0.072262 (0.11122) +2025-08-25,14:00:06 | INFO | Train Epoch: 13 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.075985 (0.098374) Boundary_loss: 0.012820 (0.012800) Loss: 0.088805 (0.11117) +2025-08-25,14:01:05 | INFO | Train Epoch: 13 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.305 Boundary Ratio: 0.098 Contrastive_loss: 0.10641 (0.098390) Boundary_loss: 0.012812 (0.012800) Loss: 0.11922 (0.11119) +2025-08-25,14:02:04 | INFO | Train Epoch: 13 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.13083 (0.098454) Boundary_loss: 0.012853 (0.012800) Loss: 0.14368 (0.11125) +2025-08-25,14:03:02 | INFO | Train Epoch: 13 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.12799 (0.098513) Boundary_loss: 0.012846 (0.012800) Loss: 0.14083 (0.11131) +2025-08-25,14:04:01 | INFO | Train Epoch: 13 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.10764 (0.098531) Boundary_loss: 0.012780 (0.012800) Loss: 0.12042 (0.11133) +2025-08-25,14:04:59 | INFO | Train Epoch: 13 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.070163 (0.098475) Boundary_loss: 0.012788 (0.012800) Loss: 0.082951 (0.11127) +2025-08-25,14:05:58 | INFO | Train Epoch: 13 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.11432 (0.098506) Boundary_loss: 0.012826 (0.012800) Loss: 0.12715 (0.11131) +2025-08-25,14:06:57 | INFO | Train Epoch: 13 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.067607 (0.098445) Boundary_loss: 0.012807 (0.012800) Loss: 0.080414 (0.11125) +2025-08-25,14:07:55 | INFO | Train Epoch: 13 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.073041 (0.098395) Boundary_loss: 0.012815 (0.012800) Loss: 0.085856 (0.11120) +2025-08-25,14:08:54 | INFO | Train Epoch: 13 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.088182 (0.098375) Boundary_loss: 0.012793 (0.012800) Loss: 0.10098 (0.11118) +2025-08-25,14:09:52 | INFO | Train Epoch: 13 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.069515 (0.098319) Boundary_loss: 0.012741 (0.012800) Loss: 0.082256 (0.11112) +2025-08-25,14:10:51 | INFO | Train Epoch: 13 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.10658 (0.098335) Boundary_loss: 0.012949 (0.012800) Loss: 0.11953 (0.11113) +2025-08-25,14:11:49 | INFO | Train Epoch: 13 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.10761 (0.098353) Boundary_loss: 0.012769 (0.012800) Loss: 0.12038 (0.11115) +2025-08-25,14:12:48 | INFO | Train Epoch: 13 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.10280 (0.098362) Boundary_loss: 0.012863 (0.012800) Loss: 0.11567 (0.11116) +2025-08-25,14:13:47 | INFO | Train Epoch: 13 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.062555 (0.098292) Boundary_loss: 0.012771 (0.012800) Loss: 0.075325 (0.11109) +2025-08-25,14:14:45 | INFO | Train Epoch: 13 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.076308 (0.098249) Boundary_loss: 0.012806 (0.012800) Loss: 0.089114 (0.11105) +2025-08-25,14:15:41 | INFO | Train Epoch: 13 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.091792 (0.098237) Boundary_loss: 0.012802 (0.012800) Loss: 0.10459 (0.11104) +2025-08-25,14:15:41 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-25,14:15:41 | INFO | [Epoch 13] Average Step Time: 0.589s | Average GPU Memory: 33.4 GB +2025-08-25,14:15:41 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-25,14:15:41 | INFO | Starting zero-shot imagenet. +2025-08-25,14:15:41 | INFO | Building zero-shot classifier +2025-08-25,14:15:50 | INFO | Using classifier +2025-08-25,14:16:37 | INFO | Finished zero-shot imagenet. +2025-08-25,14:16:37 | INFO | Eval Epoch: 14 imagenet-zeroshot-val-top1: 0.3188 imagenet-zeroshot-val-top5: 0.5920 +2025-08-25,14:16:38 | INFO | Start epoch 14 +2025-08-25,14:16:40 | INFO | Train Epoch: 14 [ 512/26365952 (0%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.094007 (0.094007) Boundary_loss: 0.012759 (0.012759) Loss: 0.10677 (0.10677) +2025-08-25,14:17:39 | INFO | Train Epoch: 14 [ 51712/26365952 (0%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.091988 (0.092998) Boundary_loss: 0.012810 (0.012785) Loss: 0.10480 (0.10578) +2025-08-25,14:18:38 | INFO | Train Epoch: 14 [ 102912/26365952 (0%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.095057 (0.093684) Boundary_loss: 0.012812 (0.012794) Loss: 0.10787 (0.10648) +2025-08-25,14:19:36 | INFO | Train Epoch: 14 [ 154112/26365952 (1%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.13679 (0.10446) Boundary_loss: 0.012780 (0.012790) Loss: 0.14957 (0.11725) +2025-08-25,14:20:35 | INFO | Train Epoch: 14 [ 205312/26365952 (1%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.085525 (0.10067) Boundary_loss: 0.012747 (0.012781) Loss: 0.098272 (0.11346) +2025-08-25,14:21:33 | INFO | Train Epoch: 14 [ 256512/26365952 (1%)] Avg Boundaries (per batch): 19.125 Boundary Ratio: 0.098 Contrastive_loss: 0.10655 (0.10165) Boundary_loss: 0.012758 (0.012778) Loss: 0.11931 (0.11443) +2025-08-25,14:22:32 | INFO | Train Epoch: 14 [ 307712/26365952 (1%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.11649 (0.10377) Boundary_loss: 0.012711 (0.012768) Loss: 0.12920 (0.11654) +2025-08-25,14:23:30 | INFO | Train Epoch: 14 [ 358912/26365952 (1%)] Avg Boundaries (per batch): 19.393 Boundary Ratio: 0.099 Contrastive_loss: 0.072375 (0.099848) Boundary_loss: 0.012803 (0.012772) Loss: 0.085179 (0.11262) +2025-08-25,14:24:29 | INFO | Train Epoch: 14 [ 410112/26365952 (2%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.097334 (0.099569) Boundary_loss: 0.012864 (0.012783) Loss: 0.11020 (0.11235) +2025-08-25,14:25:27 | INFO | Train Epoch: 14 [ 461312/26365952 (2%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.089949 (0.098607) Boundary_loss: 0.012804 (0.012785) Loss: 0.10275 (0.11139) +2025-08-25,14:26:26 | INFO | Train Epoch: 14 [ 512512/26365952 (2%)] Avg Boundaries (per batch): 19.422 Boundary Ratio: 0.099 Contrastive_loss: 0.087229 (0.097572) Boundary_loss: 0.012737 (0.012780) Loss: 0.099966 (0.11035) +2025-08-25,14:27:25 | INFO | Train Epoch: 14 [ 563712/26365952 (2%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.084216 (0.096459) Boundary_loss: 0.012850 (0.012786) Loss: 0.097066 (0.10925) +2025-08-25,14:28:23 | INFO | Train Epoch: 14 [ 614912/26365952 (2%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.068829 (0.094334) Boundary_loss: 0.012812 (0.012788) Loss: 0.081642 (0.10712) +2025-08-25,14:29:22 | INFO | Train Epoch: 14 [ 666112/26365952 (3%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.091792 (0.094152) Boundary_loss: 0.012798 (0.012789) Loss: 0.10459 (0.10694) +2025-08-25,14:30:20 | INFO | Train Epoch: 14 [ 717312/26365952 (3%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.069990 (0.092542) Boundary_loss: 0.012754 (0.012787) Loss: 0.082744 (0.10533) +2025-08-25,14:31:19 | INFO | Train Epoch: 14 [ 768512/26365952 (3%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.11162 (0.093734) Boundary_loss: 0.012789 (0.012787) Loss: 0.12441 (0.10652) +2025-08-25,14:32:17 | INFO | Train Epoch: 14 [ 819712/26365952 (3%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.090046 (0.093517) Boundary_loss: 0.012806 (0.012788) Loss: 0.10285 (0.10630) +2025-08-25,14:33:16 | INFO | Train Epoch: 14 [ 870912/26365952 (3%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.13311 (0.095717) Boundary_loss: 0.012779 (0.012787) Loss: 0.14589 (0.10850) +2025-08-25,14:34:14 | INFO | Train Epoch: 14 [ 922112/26365952 (3%)] Avg Boundaries (per batch): 19.316 Boundary Ratio: 0.099 Contrastive_loss: 0.077760 (0.094772) Boundary_loss: 0.012744 (0.012785) Loss: 0.090503 (0.10756) +2025-08-25,14:35:13 | INFO | Train Epoch: 14 [ 973312/26365952 (4%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.069831 (0.093525) Boundary_loss: 0.012698 (0.012781) Loss: 0.082530 (0.10631) +2025-08-25,14:36:12 | INFO | Train Epoch: 14 [ 1024512/26365952 (4%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.10586 (0.094112) Boundary_loss: 0.012799 (0.012782) Loss: 0.11866 (0.10689) +2025-08-25,14:37:10 | INFO | Train Epoch: 14 [ 1075712/26365952 (4%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.095623 (0.094181) Boundary_loss: 0.012756 (0.012781) Loss: 0.10838 (0.10696) +2025-08-25,14:38:09 | INFO | Train Epoch: 14 [ 1126912/26365952 (4%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.089938 (0.093996) Boundary_loss: 0.012851 (0.012784) Loss: 0.10279 (0.10678) +2025-08-25,14:39:07 | INFO | Train Epoch: 14 [ 1178112/26365952 (4%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.11364 (0.094815) Boundary_loss: 0.012850 (0.012786) Loss: 0.12649 (0.10760) +2025-08-25,14:40:06 | INFO | Train Epoch: 14 [ 1229312/26365952 (5%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.051700 (0.093090) Boundary_loss: 0.012743 (0.012785) Loss: 0.064443 (0.10587) +2025-08-25,14:41:04 | INFO | Train Epoch: 14 [ 1280512/26365952 (5%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.11377 (0.093885) Boundary_loss: 0.012810 (0.012786) Loss: 0.12658 (0.10667) +2025-08-25,14:42:03 | INFO | Train Epoch: 14 [ 1331712/26365952 (5%)] Avg Boundaries (per batch): 19.537 Boundary Ratio: 0.100 Contrastive_loss: 0.091734 (0.093805) Boundary_loss: 0.012840 (0.012788) Loss: 0.10457 (0.10659) +2025-08-25,14:43:01 | INFO | Train Epoch: 14 [ 1382912/26365952 (5%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.11904 (0.094707) Boundary_loss: 0.012767 (0.012787) Loss: 0.13181 (0.10749) +2025-08-25,14:44:00 | INFO | Train Epoch: 14 [ 1434112/26365952 (5%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.11400 (0.095372) Boundary_loss: 0.012802 (0.012787) Loss: 0.12680 (0.10816) +2025-08-25,14:44:58 | INFO | Train Epoch: 14 [ 1485312/26365952 (6%)] Avg Boundaries (per batch): 19.115 Boundary Ratio: 0.098 Contrastive_loss: 0.060783 (0.094219) Boundary_loss: 0.012724 (0.012785) Loss: 0.073507 (0.10700) +2025-08-25,14:45:57 | INFO | Train Epoch: 14 [ 1536512/26365952 (6%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.081772 (0.093818) Boundary_loss: 0.012786 (0.012785) Loss: 0.094558 (0.10660) +2025-08-25,14:46:56 | INFO | Train Epoch: 14 [ 1587712/26365952 (6%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.13231 (0.095021) Boundary_loss: 0.012725 (0.012783) Loss: 0.14504 (0.10780) +2025-08-25,14:47:54 | INFO | Train Epoch: 14 [ 1638912/26365952 (6%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.11646 (0.095670) Boundary_loss: 0.012745 (0.012782) Loss: 0.12920 (0.10845) +2025-08-25,14:48:53 | INFO | Train Epoch: 14 [ 1690112/26365952 (6%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.076561 (0.095108) Boundary_loss: 0.012760 (0.012782) Loss: 0.089320 (0.10789) +2025-08-25,14:49:51 | INFO | Train Epoch: 14 [ 1741312/26365952 (7%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.087094 (0.094879) Boundary_loss: 0.012767 (0.012781) Loss: 0.099860 (0.10766) +2025-08-25,14:50:50 | INFO | Train Epoch: 14 [ 1792512/26365952 (7%)] Avg Boundaries (per batch): 18.943 Boundary Ratio: 0.097 Contrastive_loss: 0.097838 (0.094961) Boundary_loss: 0.012828 (0.012782) Loss: 0.11067 (0.10774) +2025-08-25,14:51:48 | INFO | Train Epoch: 14 [ 1843712/26365952 (7%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.091258 (0.094861) Boundary_loss: 0.012766 (0.012782) Loss: 0.10402 (0.10764) +2025-08-25,14:52:47 | INFO | Train Epoch: 14 [ 1894912/26365952 (7%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.076674 (0.094383) Boundary_loss: 0.012759 (0.012781) Loss: 0.089433 (0.10716) +2025-08-25,14:53:45 | INFO | Train Epoch: 14 [ 1946112/26365952 (7%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.093618 (0.094363) Boundary_loss: 0.012792 (0.012782) Loss: 0.10641 (0.10714) +2025-08-25,14:54:44 | INFO | Train Epoch: 14 [ 1997312/26365952 (8%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.087590 (0.094194) Boundary_loss: 0.012757 (0.012781) Loss: 0.10035 (0.10697) +2025-08-25,14:55:42 | INFO | Train Epoch: 14 [ 2048512/26365952 (8%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.10015 (0.094339) Boundary_loss: 0.012807 (0.012782) Loss: 0.11296 (0.10712) +2025-08-25,14:56:41 | INFO | Train Epoch: 14 [ 2099712/26365952 (8%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.11821 (0.094907) Boundary_loss: 0.012858 (0.012784) Loss: 0.13107 (0.10769) +2025-08-25,14:57:40 | INFO | Train Epoch: 14 [ 2150912/26365952 (8%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.085714 (0.094694) Boundary_loss: 0.012835 (0.012785) Loss: 0.098549 (0.10748) +2025-08-25,14:58:38 | INFO | Train Epoch: 14 [ 2202112/26365952 (8%)] Avg Boundaries (per batch): 19.469 Boundary Ratio: 0.099 Contrastive_loss: 0.075702 (0.094262) Boundary_loss: 0.012808 (0.012785) Loss: 0.088510 (0.10705) +2025-08-25,14:59:37 | INFO | Train Epoch: 14 [ 2253312/26365952 (9%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.11747 (0.094778) Boundary_loss: 0.012750 (0.012784) Loss: 0.13022 (0.10756) +2025-08-25,15:00:35 | INFO | Train Epoch: 14 [ 2304512/26365952 (9%)] Avg Boundaries (per batch): 19.350 Boundary Ratio: 0.099 Contrastive_loss: 0.11072 (0.095124) Boundary_loss: 0.012828 (0.012785) Loss: 0.12354 (0.10791) +2025-08-25,15:01:34 | INFO | Train Epoch: 14 [ 2355712/26365952 (9%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.080477 (0.094813) Boundary_loss: 0.012740 (0.012784) Loss: 0.093217 (0.10760) +2025-08-25,15:02:32 | INFO | Train Epoch: 14 [ 2406912/26365952 (9%)] Avg Boundaries (per batch): 19.109 Boundary Ratio: 0.097 Contrastive_loss: 0.10727 (0.095072) Boundary_loss: 0.012780 (0.012784) Loss: 0.12005 (0.10786) +2025-08-25,15:03:31 | INFO | Train Epoch: 14 [ 2458112/26365952 (9%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.063701 (0.094432) Boundary_loss: 0.012734 (0.012783) Loss: 0.076436 (0.10722) +2025-08-25,15:04:30 | INFO | Train Epoch: 14 [ 2509312/26365952 (10%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.11526 (0.094848) Boundary_loss: 0.012812 (0.012784) Loss: 0.12808 (0.10763) +2025-08-25,15:05:28 | INFO | Train Epoch: 14 [ 2560512/26365952 (10%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.053547 (0.094039) Boundary_loss: 0.012797 (0.012784) Loss: 0.066345 (0.10682) +2025-08-25,15:06:27 | INFO | Train Epoch: 14 [ 2611712/26365952 (10%)] Avg Boundaries (per batch): 19.086 Boundary Ratio: 0.097 Contrastive_loss: 0.072094 (0.093617) Boundary_loss: 0.012803 (0.012785) Loss: 0.084897 (0.10640) +2025-08-25,15:07:25 | INFO | Train Epoch: 14 [ 2662912/26365952 (10%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.096120 (0.093664) Boundary_loss: 0.012788 (0.012785) Loss: 0.10891 (0.10645) +2025-08-25,15:08:24 | INFO | Train Epoch: 14 [ 2714112/26365952 (10%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.089844 (0.093593) Boundary_loss: 0.012807 (0.012785) Loss: 0.10265 (0.10638) +2025-08-25,15:09:22 | INFO | Train Epoch: 14 [ 2765312/26365952 (10%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.060959 (0.093000) Boundary_loss: 0.012777 (0.012785) Loss: 0.073736 (0.10578) +2025-08-25,15:10:21 | INFO | Train Epoch: 14 [ 2816512/26365952 (11%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.072467 (0.092633) Boundary_loss: 0.012686 (0.012783) Loss: 0.085153 (0.10542) +2025-08-25,15:11:20 | INFO | Train Epoch: 14 [ 2867712/26365952 (11%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.061611 (0.092089) Boundary_loss: 0.012779 (0.012783) Loss: 0.074391 (0.10487) +2025-08-25,15:12:18 | INFO | Train Epoch: 14 [ 2918912/26365952 (11%)] Avg Boundaries (per batch): 19.010 Boundary Ratio: 0.097 Contrastive_loss: 0.097970 (0.092190) Boundary_loss: 0.012851 (0.012784) Loss: 0.11082 (0.10497) +2025-08-25,15:13:17 | INFO | Train Epoch: 14 [ 2970112/26365952 (11%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.091026 (0.092171) Boundary_loss: 0.012806 (0.012785) Loss: 0.10383 (0.10496) +2025-08-25,15:14:15 | INFO | Train Epoch: 14 [ 3021312/26365952 (11%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.066402 (0.091741) Boundary_loss: 0.012800 (0.012785) Loss: 0.079201 (0.10453) +2025-08-25,15:15:14 | INFO | Train Epoch: 14 [ 3072512/26365952 (12%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.086919 (0.091662) Boundary_loss: 0.012785 (0.012785) Loss: 0.099704 (0.10445) +2025-08-25,15:16:13 | INFO | Train Epoch: 14 [ 3123712/26365952 (12%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.067268 (0.091269) Boundary_loss: 0.013002 (0.012788) Loss: 0.080270 (0.10406) +2025-08-25,15:17:11 | INFO | Train Epoch: 14 [ 3174912/26365952 (12%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.093797 (0.091309) Boundary_loss: 0.012753 (0.012788) Loss: 0.10655 (0.10410) +2025-08-25,15:18:10 | INFO | Train Epoch: 14 [ 3226112/26365952 (12%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.085298 (0.091215) Boundary_loss: 0.012842 (0.012789) Loss: 0.098140 (0.10400) +2025-08-25,15:19:08 | INFO | Train Epoch: 14 [ 3277312/26365952 (12%)] Avg Boundaries (per batch): 19.488 Boundary Ratio: 0.099 Contrastive_loss: 0.088932 (0.091180) Boundary_loss: 0.012784 (0.012789) Loss: 0.10172 (0.10397) +2025-08-25,15:20:07 | INFO | Train Epoch: 14 [ 3328512/26365952 (13%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.10189 (0.091342) Boundary_loss: 0.012807 (0.012789) Loss: 0.11470 (0.10413) +2025-08-25,15:21:06 | INFO | Train Epoch: 14 [ 3379712/26365952 (13%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.081580 (0.091196) Boundary_loss: 0.012812 (0.012789) Loss: 0.094391 (0.10399) +2025-08-25,15:22:04 | INFO | Train Epoch: 14 [ 3430912/26365952 (13%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.088849 (0.091162) Boundary_loss: 0.012899 (0.012791) Loss: 0.10175 (0.10395) +2025-08-25,15:23:03 | INFO | Train Epoch: 14 [ 3482112/26365952 (13%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.10611 (0.091378) Boundary_loss: 0.012872 (0.012792) Loss: 0.11899 (0.10417) +2025-08-25,15:24:01 | INFO | Train Epoch: 14 [ 3533312/26365952 (13%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.098542 (0.091481) Boundary_loss: 0.012772 (0.012792) Loss: 0.11131 (0.10427) +2025-08-25,15:25:00 | INFO | Train Epoch: 14 [ 3584512/26365952 (14%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.059112 (0.091025) Boundary_loss: 0.012762 (0.012791) Loss: 0.071874 (0.10382) +2025-08-25,15:25:58 | INFO | Train Epoch: 14 [ 3635712/26365952 (14%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.10205 (0.091178) Boundary_loss: 0.012721 (0.012790) Loss: 0.11477 (0.10397) +2025-08-25,15:26:57 | INFO | Train Epoch: 14 [ 3686912/26365952 (14%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.10503 (0.091368) Boundary_loss: 0.012833 (0.012791) Loss: 0.11787 (0.10416) +2025-08-25,15:27:56 | INFO | Train Epoch: 14 [ 3738112/26365952 (14%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.095980 (0.091430) Boundary_loss: 0.012799 (0.012791) Loss: 0.10878 (0.10422) +2025-08-25,15:28:54 | INFO | Train Epoch: 14 [ 3789312/26365952 (14%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.098909 (0.091530) Boundary_loss: 0.012809 (0.012791) Loss: 0.11172 (0.10432) +2025-08-25,15:29:53 | INFO | Train Epoch: 14 [ 3840512/26365952 (15%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.095858 (0.091587) Boundary_loss: 0.012764 (0.012791) Loss: 0.10862 (0.10438) +2025-08-25,15:30:51 | INFO | Train Epoch: 14 [ 3891712/26365952 (15%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.14186 (0.092240) Boundary_loss: 0.012903 (0.012792) Loss: 0.15476 (0.10503) +2025-08-25,15:31:50 | INFO | Train Epoch: 14 [ 3942912/26365952 (15%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.071725 (0.091977) Boundary_loss: 0.012904 (0.012794) Loss: 0.084629 (0.10477) +2025-08-25,15:32:49 | INFO | Train Epoch: 14 [ 3994112/26365952 (15%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.076135 (0.091776) Boundary_loss: 0.012808 (0.012794) Loss: 0.088942 (0.10457) +2025-08-25,15:33:47 | INFO | Train Epoch: 14 [ 4045312/26365952 (15%)] Avg Boundaries (per batch): 19.152 Boundary Ratio: 0.098 Contrastive_loss: 0.10190 (0.091903) Boundary_loss: 0.012800 (0.012794) Loss: 0.11470 (0.10470) +2025-08-25,15:34:46 | INFO | Train Epoch: 14 [ 4096512/26365952 (16%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.072962 (0.091669) Boundary_loss: 0.012754 (0.012793) Loss: 0.085716 (0.10446) +2025-08-25,15:35:44 | INFO | Train Epoch: 14 [ 4147712/26365952 (16%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.061911 (0.091306) Boundary_loss: 0.012855 (0.012794) Loss: 0.074766 (0.10410) +2025-08-25,15:36:43 | INFO | Train Epoch: 14 [ 4198912/26365952 (16%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.099853 (0.091409) Boundary_loss: 0.012816 (0.012794) Loss: 0.11267 (0.10420) +2025-08-25,15:37:42 | INFO | Train Epoch: 14 [ 4250112/26365952 (16%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.082910 (0.091308) Boundary_loss: 0.012814 (0.012795) Loss: 0.095724 (0.10410) +2025-08-25,15:38:40 | INFO | Train Epoch: 14 [ 4301312/26365952 (16%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.11725 (0.091613) Boundary_loss: 0.012840 (0.012795) Loss: 0.13009 (0.10441) +2025-08-25,15:39:39 | INFO | Train Epoch: 14 [ 4352512/26365952 (17%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.099164 (0.091701) Boundary_loss: 0.012866 (0.012796) Loss: 0.11203 (0.10450) +2025-08-25,15:40:37 | INFO | Train Epoch: 14 [ 4403712/26365952 (17%)] Avg Boundaries (per batch): 19.248 Boundary Ratio: 0.098 Contrastive_loss: 0.081172 (0.091580) Boundary_loss: 0.012751 (0.012796) Loss: 0.093923 (0.10438) +2025-08-25,15:41:36 | INFO | Train Epoch: 14 [ 4454912/26365952 (17%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.12514 (0.091961) Boundary_loss: 0.012823 (0.012796) Loss: 0.13797 (0.10476) +2025-08-25,15:42:35 | INFO | Train Epoch: 14 [ 4506112/26365952 (17%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.078521 (0.091810) Boundary_loss: 0.012787 (0.012796) Loss: 0.091308 (0.10461) +2025-08-25,15:43:33 | INFO | Train Epoch: 14 [ 4557312/26365952 (17%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.12203 (0.092146) Boundary_loss: 0.012791 (0.012796) Loss: 0.13482 (0.10494) +2025-08-25,15:44:32 | INFO | Train Epoch: 14 [ 4608512/26365952 (17%)] Avg Boundaries (per batch): 19.383 Boundary Ratio: 0.099 Contrastive_loss: 0.10826 (0.092323) Boundary_loss: 0.012844 (0.012796) Loss: 0.12110 (0.10512) +2025-08-25,15:45:30 | INFO | Train Epoch: 14 [ 4659712/26365952 (18%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.093718 (0.092338) Boundary_loss: 0.012784 (0.012796) Loss: 0.10650 (0.10513) +2025-08-25,15:46:29 | INFO | Train Epoch: 14 [ 4710912/26365952 (18%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.046106 (0.091841) Boundary_loss: 0.012771 (0.012796) Loss: 0.058877 (0.10464) +2025-08-25,15:47:28 | INFO | Train Epoch: 14 [ 4762112/26365952 (18%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.13734 (0.092325) Boundary_loss: 0.012816 (0.012796) Loss: 0.15015 (0.10512) +2025-08-25,15:48:26 | INFO | Train Epoch: 14 [ 4813312/26365952 (18%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.091715 (0.092319) Boundary_loss: 0.012879 (0.012797) Loss: 0.10459 (0.10512) +2025-08-25,15:49:25 | INFO | Train Epoch: 14 [ 4864512/26365952 (18%)] Avg Boundaries (per batch): 18.998 Boundary Ratio: 0.097 Contrastive_loss: 0.081999 (0.092211) Boundary_loss: 0.012761 (0.012797) Loss: 0.094760 (0.10501) +2025-08-25,15:50:23 | INFO | Train Epoch: 14 [ 4915712/26365952 (19%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.083440 (0.092121) Boundary_loss: 0.012834 (0.012797) Loss: 0.096275 (0.10492) +2025-08-25,15:51:22 | INFO | Train Epoch: 14 [ 4966912/26365952 (19%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.10534 (0.092256) Boundary_loss: 0.012724 (0.012796) Loss: 0.11806 (0.10505) +2025-08-25,15:52:20 | INFO | Train Epoch: 14 [ 5018112/26365952 (19%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.11384 (0.092474) Boundary_loss: 0.012736 (0.012796) Loss: 0.12658 (0.10527) +2025-08-25,15:53:19 | INFO | Train Epoch: 14 [ 5069312/26365952 (19%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.088633 (0.092435) Boundary_loss: 0.012759 (0.012795) Loss: 0.10139 (0.10523) +2025-08-25,15:54:18 | INFO | Train Epoch: 14 [ 5120512/26365952 (19%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.092950 (0.092440) Boundary_loss: 0.012859 (0.012796) Loss: 0.10581 (0.10524) +2025-08-25,15:55:16 | INFO | Train Epoch: 14 [ 5171712/26365952 (20%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.11723 (0.092683) Boundary_loss: 0.012765 (0.012796) Loss: 0.13000 (0.10548) +2025-08-25,15:56:15 | INFO | Train Epoch: 14 [ 5222912/26365952 (20%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.093018 (0.092687) Boundary_loss: 0.012786 (0.012795) Loss: 0.10580 (0.10548) +2025-08-25,15:57:13 | INFO | Train Epoch: 14 [ 5274112/26365952 (20%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.058529 (0.092358) Boundary_loss: 0.012783 (0.012795) Loss: 0.071311 (0.10515) +2025-08-25,15:58:12 | INFO | Train Epoch: 14 [ 5325312/26365952 (20%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.066527 (0.092112) Boundary_loss: 0.012763 (0.012795) Loss: 0.079290 (0.10491) +2025-08-25,15:59:11 | INFO | Train Epoch: 14 [ 5376512/26365952 (20%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.094443 (0.092134) Boundary_loss: 0.012809 (0.012795) Loss: 0.10725 (0.10493) +2025-08-25,16:00:09 | INFO | Train Epoch: 14 [ 5427712/26365952 (21%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.078909 (0.092010) Boundary_loss: 0.012856 (0.012796) Loss: 0.091765 (0.10481) +2025-08-25,16:01:08 | INFO | Train Epoch: 14 [ 5478912/26365952 (21%)] Avg Boundaries (per batch): 19.076 Boundary Ratio: 0.097 Contrastive_loss: 0.089302 (0.091985) Boundary_loss: 0.012788 (0.012796) Loss: 0.10209 (0.10478) +2025-08-25,16:02:06 | INFO | Train Epoch: 14 [ 5530112/26365952 (21%)] Avg Boundaries (per batch): 19.471 Boundary Ratio: 0.099 Contrastive_loss: 0.098804 (0.092048) Boundary_loss: 0.012760 (0.012795) Loss: 0.11156 (0.10484) +2025-08-25,16:03:05 | INFO | Train Epoch: 14 [ 5581312/26365952 (21%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.055909 (0.091719) Boundary_loss: 0.012769 (0.012795) Loss: 0.068678 (0.10451) +2025-08-25,16:04:03 | INFO | Train Epoch: 14 [ 5632512/26365952 (21%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.079259 (0.091607) Boundary_loss: 0.012806 (0.012795) Loss: 0.092066 (0.10440) +2025-08-25,16:05:02 | INFO | Train Epoch: 14 [ 5683712/26365952 (22%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.098576 (0.091669) Boundary_loss: 0.012796 (0.012795) Loss: 0.11137 (0.10446) +2025-08-25,16:06:00 | INFO | Train Epoch: 14 [ 5734912/26365952 (22%)] Avg Boundaries (per batch): 19.107 Boundary Ratio: 0.097 Contrastive_loss: 0.084230 (0.091604) Boundary_loss: 0.012760 (0.012795) Loss: 0.096991 (0.10440) +2025-08-25,16:06:59 | INFO | Train Epoch: 14 [ 5786112/26365952 (22%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.11944 (0.091848) Boundary_loss: 0.012778 (0.012795) Loss: 0.13222 (0.10464) +2025-08-25,16:07:58 | INFO | Train Epoch: 14 [ 5837312/26365952 (22%)] Avg Boundaries (per batch): 19.449 Boundary Ratio: 0.099 Contrastive_loss: 0.091867 (0.091848) Boundary_loss: 0.012898 (0.012796) Loss: 0.10477 (0.10464) +2025-08-25,16:08:56 | INFO | Train Epoch: 14 [ 5888512/26365952 (22%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.074340 (0.091697) Boundary_loss: 0.012826 (0.012796) Loss: 0.087167 (0.10449) +2025-08-25,16:09:55 | INFO | Train Epoch: 14 [ 5939712/26365952 (23%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.095232 (0.091727) Boundary_loss: 0.012723 (0.012795) Loss: 0.10796 (0.10452) +2025-08-25,16:10:53 | INFO | Train Epoch: 14 [ 5990912/26365952 (23%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.10540 (0.091843) Boundary_loss: 0.012812 (0.012795) Loss: 0.11821 (0.10464) +2025-08-25,16:11:52 | INFO | Train Epoch: 14 [ 6042112/26365952 (23%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.12609 (0.092131) Boundary_loss: 0.012746 (0.012795) Loss: 0.13884 (0.10493) +2025-08-25,16:12:51 | INFO | Train Epoch: 14 [ 6093312/26365952 (23%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.085649 (0.092077) Boundary_loss: 0.012792 (0.012795) Loss: 0.098442 (0.10487) +2025-08-25,16:13:49 | INFO | Train Epoch: 14 [ 6144512/26365952 (23%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.12122 (0.092318) Boundary_loss: 0.012809 (0.012795) Loss: 0.13403 (0.10511) +2025-08-25,16:14:48 | INFO | Train Epoch: 14 [ 6195712/26365952 (23%)] Avg Boundaries (per batch): 19.148 Boundary Ratio: 0.098 Contrastive_loss: 0.094255 (0.092334) Boundary_loss: 0.012791 (0.012795) Loss: 0.10705 (0.10513) +2025-08-25,16:15:46 | INFO | Train Epoch: 14 [ 6246912/26365952 (24%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.097281 (0.092374) Boundary_loss: 0.012827 (0.012795) Loss: 0.11011 (0.10517) +2025-08-25,16:16:45 | INFO | Train Epoch: 14 [ 6298112/26365952 (24%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.080048 (0.092274) Boundary_loss: 0.012809 (0.012795) Loss: 0.092857 (0.10507) +2025-08-25,16:17:43 | INFO | Train Epoch: 14 [ 6349312/26365952 (24%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.077205 (0.092154) Boundary_loss: 0.012781 (0.012795) Loss: 0.089986 (0.10495) +2025-08-25,16:18:42 | INFO | Train Epoch: 14 [ 6400512/26365952 (24%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.11025 (0.092297) Boundary_loss: 0.012827 (0.012796) Loss: 0.12308 (0.10509) +2025-08-25,16:19:41 | INFO | Train Epoch: 14 [ 6451712/26365952 (24%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.13152 (0.092606) Boundary_loss: 0.012792 (0.012796) Loss: 0.14431 (0.10540) +2025-08-25,16:20:39 | INFO | Train Epoch: 14 [ 6502912/26365952 (25%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.050545 (0.092278) Boundary_loss: 0.012737 (0.012795) Loss: 0.063282 (0.10507) +2025-08-25,16:21:38 | INFO | Train Epoch: 14 [ 6554112/26365952 (25%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.083119 (0.092207) Boundary_loss: 0.012775 (0.012795) Loss: 0.095894 (0.10500) +2025-08-25,16:22:36 | INFO | Train Epoch: 14 [ 6605312/26365952 (25%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.073442 (0.092062) Boundary_loss: 0.012804 (0.012795) Loss: 0.086246 (0.10486) +2025-08-25,16:23:35 | INFO | Train Epoch: 14 [ 6656512/26365952 (25%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.10312 (0.092147) Boundary_loss: 0.012838 (0.012795) Loss: 0.11596 (0.10494) +2025-08-25,16:24:33 | INFO | Train Epoch: 14 [ 6707712/26365952 (25%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.096158 (0.092177) Boundary_loss: 0.012803 (0.012795) Loss: 0.10896 (0.10497) +2025-08-25,16:25:32 | INFO | Train Epoch: 14 [ 6758912/26365952 (26%)] Avg Boundaries (per batch): 19.334 Boundary Ratio: 0.099 Contrastive_loss: 0.10956 (0.092308) Boundary_loss: 0.012779 (0.012795) Loss: 0.12234 (0.10510) +2025-08-25,16:26:31 | INFO | Train Epoch: 14 [ 6810112/26365952 (26%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.10792 (0.092424) Boundary_loss: 0.012757 (0.012795) Loss: 0.12068 (0.10522) +2025-08-25,16:27:29 | INFO | Train Epoch: 14 [ 6861312/26365952 (26%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.099066 (0.092474) Boundary_loss: 0.012830 (0.012795) Loss: 0.11190 (0.10527) +2025-08-25,16:28:28 | INFO | Train Epoch: 14 [ 6912512/26365952 (26%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.10957 (0.092599) Boundary_loss: 0.012779 (0.012795) Loss: 0.12235 (0.10539) +2025-08-25,16:29:26 | INFO | Train Epoch: 14 [ 6963712/26365952 (26%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.093842 (0.092608) Boundary_loss: 0.012802 (0.012795) Loss: 0.10664 (0.10540) +2025-08-25,16:30:25 | INFO | Train Epoch: 14 [ 7014912/26365952 (27%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.12913 (0.092873) Boundary_loss: 0.012839 (0.012796) Loss: 0.14197 (0.10567) +2025-08-25,16:31:24 | INFO | Train Epoch: 14 [ 7066112/26365952 (27%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.095388 (0.092891) Boundary_loss: 0.012742 (0.012795) Loss: 0.10813 (0.10569) +2025-08-25,16:32:22 | INFO | Train Epoch: 14 [ 7117312/26365952 (27%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.093792 (0.092898) Boundary_loss: 0.012771 (0.012795) Loss: 0.10656 (0.10569) +2025-08-25,16:33:21 | INFO | Train Epoch: 14 [ 7168512/26365952 (27%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.082581 (0.092824) Boundary_loss: 0.012783 (0.012795) Loss: 0.095364 (0.10562) +2025-08-25,16:34:19 | INFO | Train Epoch: 14 [ 7219712/26365952 (27%)] Avg Boundaries (per batch): 19.346 Boundary Ratio: 0.099 Contrastive_loss: 0.094376 (0.092835) Boundary_loss: 0.012820 (0.012795) Loss: 0.10720 (0.10563) +2025-08-25,16:35:18 | INFO | Train Epoch: 14 [ 7270912/26365952 (28%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.064714 (0.092639) Boundary_loss: 0.012761 (0.012795) Loss: 0.077475 (0.10543) +2025-08-25,16:36:17 | INFO | Train Epoch: 14 [ 7322112/26365952 (28%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.11637 (0.092804) Boundary_loss: 0.012732 (0.012794) Loss: 0.12911 (0.10560) +2025-08-25,16:37:15 | INFO | Train Epoch: 14 [ 7373312/26365952 (28%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.085763 (0.092755) Boundary_loss: 0.012733 (0.012794) Loss: 0.098496 (0.10555) +2025-08-25,16:38:14 | INFO | Train Epoch: 14 [ 7424512/26365952 (28%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.077135 (0.092648) Boundary_loss: 0.012829 (0.012794) Loss: 0.089964 (0.10544) +2025-08-25,16:39:12 | INFO | Train Epoch: 14 [ 7475712/26365952 (28%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.063737 (0.092451) Boundary_loss: 0.012742 (0.012794) Loss: 0.076479 (0.10525) +2025-08-25,16:40:11 | INFO | Train Epoch: 14 [ 7526912/26365952 (29%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.13210 (0.092719) Boundary_loss: 0.012837 (0.012794) Loss: 0.14494 (0.10551) +2025-08-25,16:41:10 | INFO | Train Epoch: 14 [ 7578112/26365952 (29%)] Avg Boundaries (per batch): 19.363 Boundary Ratio: 0.099 Contrastive_loss: 0.10273 (0.092786) Boundary_loss: 0.012858 (0.012795) Loss: 0.11559 (0.10558) +2025-08-25,16:42:08 | INFO | Train Epoch: 14 [ 7629312/26365952 (29%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.076268 (0.092676) Boundary_loss: 0.012856 (0.012795) Loss: 0.089125 (0.10547) +2025-08-25,16:43:07 | INFO | Train Epoch: 14 [ 7680512/26365952 (29%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.11431 (0.092820) Boundary_loss: 0.012755 (0.012795) Loss: 0.12707 (0.10561) +2025-08-25,16:44:05 | INFO | Train Epoch: 14 [ 7731712/26365952 (29%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.11454 (0.092962) Boundary_loss: 0.012775 (0.012795) Loss: 0.12732 (0.10576) +2025-08-25,16:45:04 | INFO | Train Epoch: 14 [ 7782912/26365952 (30%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.070393 (0.092815) Boundary_loss: 0.012742 (0.012794) Loss: 0.083135 (0.10561) +2025-08-25,16:46:03 | INFO | Train Epoch: 14 [ 7834112/26365952 (30%)] Avg Boundaries (per batch): 19.309 Boundary Ratio: 0.099 Contrastive_loss: 0.072765 (0.092685) Boundary_loss: 0.012715 (0.012794) Loss: 0.085480 (0.10548) +2025-08-25,16:47:01 | INFO | Train Epoch: 14 [ 7885312/26365952 (30%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.098337 (0.092721) Boundary_loss: 0.012883 (0.012794) Loss: 0.11122 (0.10552) +2025-08-25,16:48:00 | INFO | Train Epoch: 14 [ 7936512/26365952 (30%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.11438 (0.092860) Boundary_loss: 0.012787 (0.012794) Loss: 0.12717 (0.10565) +2025-08-25,16:48:59 | INFO | Train Epoch: 14 [ 7987712/26365952 (30%)] Avg Boundaries (per batch): 19.359 Boundary Ratio: 0.099 Contrastive_loss: 0.066956 (0.092695) Boundary_loss: 0.012977 (0.012795) Loss: 0.079933 (0.10549) +2025-08-25,16:49:57 | INFO | Train Epoch: 14 [ 8038912/26365952 (30%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.087618 (0.092663) Boundary_loss: 0.012783 (0.012795) Loss: 0.10040 (0.10546) +2025-08-25,16:50:56 | INFO | Train Epoch: 14 [ 8090112/26365952 (31%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.10782 (0.092758) Boundary_loss: 0.012825 (0.012796) Loss: 0.12064 (0.10555) +2025-08-25,16:51:54 | INFO | Train Epoch: 14 [ 8141312/26365952 (31%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.058526 (0.092544) Boundary_loss: 0.012688 (0.012795) Loss: 0.071215 (0.10534) +2025-08-25,16:52:53 | INFO | Train Epoch: 14 [ 8192512/26365952 (31%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.11677 (0.092695) Boundary_loss: 0.012829 (0.012795) Loss: 0.12959 (0.10549) +2025-08-25,16:53:52 | INFO | Train Epoch: 14 [ 8243712/26365952 (31%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.094705 (0.092707) Boundary_loss: 0.012867 (0.012795) Loss: 0.10757 (0.10550) +2025-08-25,16:54:50 | INFO | Train Epoch: 14 [ 8294912/26365952 (31%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.060530 (0.092510) Boundary_loss: 0.012742 (0.012795) Loss: 0.073271 (0.10530) +2025-08-25,16:55:49 | INFO | Train Epoch: 14 [ 8346112/26365952 (32%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.074711 (0.092401) Boundary_loss: 0.012707 (0.012795) Loss: 0.087418 (0.10520) +2025-08-25,16:56:47 | INFO | Train Epoch: 14 [ 8397312/26365952 (32%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.12016 (0.092570) Boundary_loss: 0.012825 (0.012795) Loss: 0.13299 (0.10536) +2025-08-25,16:57:46 | INFO | Train Epoch: 14 [ 8448512/26365952 (32%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.098022 (0.092602) Boundary_loss: 0.012803 (0.012795) Loss: 0.11082 (0.10540) +2025-08-25,16:58:44 | INFO | Train Epoch: 14 [ 8499712/26365952 (32%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.077127 (0.092510) Boundary_loss: 0.012774 (0.012795) Loss: 0.089901 (0.10530) +2025-08-25,16:59:43 | INFO | Train Epoch: 14 [ 8550912/26365952 (32%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.077994 (0.092423) Boundary_loss: 0.012877 (0.012795) Loss: 0.090872 (0.10522) +2025-08-25,17:00:42 | INFO | Train Epoch: 14 [ 8602112/26365952 (33%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.077559 (0.092335) Boundary_loss: 0.012848 (0.012796) Loss: 0.090408 (0.10513) +2025-08-25,17:01:40 | INFO | Train Epoch: 14 [ 8653312/26365952 (33%)] Avg Boundaries (per batch): 19.258 Boundary Ratio: 0.098 Contrastive_loss: 0.093223 (0.092341) Boundary_loss: 0.012811 (0.012796) Loss: 0.10603 (0.10514) +2025-08-25,17:02:39 | INFO | Train Epoch: 14 [ 8704512/26365952 (33%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.10434 (0.092411) Boundary_loss: 0.012865 (0.012796) Loss: 0.11721 (0.10521) +2025-08-25,17:03:38 | INFO | Train Epoch: 14 [ 8755712/26365952 (33%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.074819 (0.092308) Boundary_loss: 0.012747 (0.012796) Loss: 0.087566 (0.10510) +2025-08-25,17:04:36 | INFO | Train Epoch: 14 [ 8806912/26365952 (33%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.11131 (0.092418) Boundary_loss: 0.012876 (0.012796) Loss: 0.12419 (0.10521) +2025-08-25,17:05:35 | INFO | Train Epoch: 14 [ 8858112/26365952 (34%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.062549 (0.092247) Boundary_loss: 0.012705 (0.012796) Loss: 0.075254 (0.10504) +2025-08-25,17:06:33 | INFO | Train Epoch: 14 [ 8909312/26365952 (34%)] Avg Boundaries (per batch): 19.414 Boundary Ratio: 0.099 Contrastive_loss: 0.11208 (0.092360) Boundary_loss: 0.012757 (0.012795) Loss: 0.12484 (0.10516) +2025-08-25,17:07:32 | INFO | Train Epoch: 14 [ 8960512/26365952 (34%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.10246 (0.092417) Boundary_loss: 0.012816 (0.012796) Loss: 0.11528 (0.10521) +2025-08-25,17:08:30 | INFO | Train Epoch: 14 [ 9011712/26365952 (34%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.071801 (0.092301) Boundary_loss: 0.012751 (0.012795) Loss: 0.084552 (0.10510) +2025-08-25,17:09:29 | INFO | Train Epoch: 14 [ 9062912/26365952 (34%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.10521 (0.092373) Boundary_loss: 0.012849 (0.012796) Loss: 0.11806 (0.10517) +2025-08-25,17:10:28 | INFO | Train Epoch: 14 [ 9114112/26365952 (35%)] Avg Boundaries (per batch): 19.344 Boundary Ratio: 0.099 Contrastive_loss: 0.093634 (0.092380) Boundary_loss: 0.012801 (0.012796) Loss: 0.10644 (0.10518) +2025-08-25,17:11:26 | INFO | Train Epoch: 14 [ 9165312/26365952 (35%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.081321 (0.092319) Boundary_loss: 0.012860 (0.012796) Loss: 0.094181 (0.10512) +2025-08-25,17:12:25 | INFO | Train Epoch: 14 [ 9216512/26365952 (35%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.057774 (0.092128) Boundary_loss: 0.012726 (0.012796) Loss: 0.070500 (0.10492) +2025-08-25,17:13:23 | INFO | Train Epoch: 14 [ 9267712/26365952 (35%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.10576 (0.092203) Boundary_loss: 0.012763 (0.012795) Loss: 0.11852 (0.10500) +2025-08-25,17:14:21 | INFO | Train Epoch: 14 [ 9318912/26365952 (35%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.078987 (0.092131) Boundary_loss: 0.012737 (0.012795) Loss: 0.091724 (0.10493) +2025-08-25,17:15:20 | INFO | Train Epoch: 14 [ 9370112/26365952 (36%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.099359 (0.092170) Boundary_loss: 0.012762 (0.012795) Loss: 0.11212 (0.10497) +2025-08-25,17:16:18 | INFO | Train Epoch: 14 [ 9421312/26365952 (36%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.085099 (0.092132) Boundary_loss: 0.012816 (0.012795) Loss: 0.097915 (0.10493) +2025-08-25,17:17:17 | INFO | Train Epoch: 14 [ 9472512/26365952 (36%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.10923 (0.092224) Boundary_loss: 0.012801 (0.012795) Loss: 0.12203 (0.10502) +2025-08-25,17:18:16 | INFO | Train Epoch: 14 [ 9523712/26365952 (36%)] Avg Boundaries (per batch): 19.105 Boundary Ratio: 0.097 Contrastive_loss: 0.097144 (0.092250) Boundary_loss: 0.012779 (0.012795) Loss: 0.10992 (0.10505) +2025-08-25,17:19:14 | INFO | Train Epoch: 14 [ 9574912/26365952 (36%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.075060 (0.092159) Boundary_loss: 0.012787 (0.012795) Loss: 0.087848 (0.10495) +2025-08-25,17:20:13 | INFO | Train Epoch: 14 [ 9626112/26365952 (37%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.078955 (0.092089) Boundary_loss: 0.012741 (0.012795) Loss: 0.091696 (0.10488) +2025-08-25,17:21:11 | INFO | Train Epoch: 14 [ 9677312/26365952 (37%)] Avg Boundaries (per batch): 19.438 Boundary Ratio: 0.099 Contrastive_loss: 0.12407 (0.092257) Boundary_loss: 0.012738 (0.012794) Loss: 0.13681 (0.10505) +2025-08-25,17:22:10 | INFO | Train Epoch: 14 [ 9728512/26365952 (37%)] Avg Boundaries (per batch): 19.348 Boundary Ratio: 0.099 Contrastive_loss: 0.094392 (0.092268) Boundary_loss: 0.012756 (0.012794) Loss: 0.10715 (0.10506) +2025-08-25,17:23:08 | INFO | Train Epoch: 14 [ 9779712/26365952 (37%)] Avg Boundaries (per batch): 19.127 Boundary Ratio: 0.098 Contrastive_loss: 0.069283 (0.092149) Boundary_loss: 0.012768 (0.012794) Loss: 0.082051 (0.10494) +2025-08-25,17:24:07 | INFO | Train Epoch: 14 [ 9830912/26365952 (37%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.10422 (0.092211) Boundary_loss: 0.012852 (0.012794) Loss: 0.11707 (0.10501) +2025-08-25,17:25:06 | INFO | Train Epoch: 14 [ 9882112/26365952 (37%)] Avg Boundaries (per batch): 19.412 Boundary Ratio: 0.099 Contrastive_loss: 0.095067 (0.092226) Boundary_loss: 0.012729 (0.012794) Loss: 0.10780 (0.10502) +2025-08-25,17:26:04 | INFO | Train Epoch: 14 [ 9933312/26365952 (38%)] Avg Boundaries (per batch): 19.119 Boundary Ratio: 0.098 Contrastive_loss: 0.088967 (0.092209) Boundary_loss: 0.012817 (0.012794) Loss: 0.10178 (0.10500) +2025-08-25,17:27:03 | INFO | Train Epoch: 14 [ 9984512/26365952 (38%)] Avg Boundaries (per batch): 19.225 Boundary Ratio: 0.098 Contrastive_loss: 0.099636 (0.092247) Boundary_loss: 0.012786 (0.012794) Loss: 0.11242 (0.10504) +2025-08-25,17:28:01 | INFO | Train Epoch: 14 [10035712/26365952 (38%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.079917 (0.092185) Boundary_loss: 0.012876 (0.012795) Loss: 0.092793 (0.10498) +2025-08-25,17:29:00 | INFO | Train Epoch: 14 [10086912/26365952 (38%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.093368 (0.092190) Boundary_loss: 0.012796 (0.012795) Loss: 0.10616 (0.10499) +2025-08-25,17:29:59 | INFO | Train Epoch: 14 [10138112/26365952 (38%)] Avg Boundaries (per batch): 19.123 Boundary Ratio: 0.098 Contrastive_loss: 0.091013 (0.092185) Boundary_loss: 0.012867 (0.012795) Loss: 0.10388 (0.10498) +2025-08-25,17:30:57 | INFO | Train Epoch: 14 [10189312/26365952 (39%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.088864 (0.092168) Boundary_loss: 0.012784 (0.012795) Loss: 0.10165 (0.10496) +2025-08-25,17:31:56 | INFO | Train Epoch: 14 [10240512/26365952 (39%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.071101 (0.092063) Boundary_loss: 0.012809 (0.012795) Loss: 0.083910 (0.10486) +2025-08-25,17:32:54 | INFO | Train Epoch: 14 [10291712/26365952 (39%)] Avg Boundaries (per batch): 19.330 Boundary Ratio: 0.099 Contrastive_loss: 0.073690 (0.091972) Boundary_loss: 0.012754 (0.012795) Loss: 0.086444 (0.10477) +2025-08-25,17:33:53 | INFO | Train Epoch: 14 [10342912/26365952 (39%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.10897 (0.092056) Boundary_loss: 0.012789 (0.012795) Loss: 0.12175 (0.10485) +2025-08-25,17:34:52 | INFO | Train Epoch: 14 [10394112/26365952 (39%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.099388 (0.092092) Boundary_loss: 0.012834 (0.012795) Loss: 0.11222 (0.10489) +2025-08-25,17:35:50 | INFO | Train Epoch: 14 [10445312/26365952 (40%)] Avg Boundaries (per batch): 19.230 Boundary Ratio: 0.098 Contrastive_loss: 0.085767 (0.092061) Boundary_loss: 0.012822 (0.012795) Loss: 0.098589 (0.10486) +2025-08-25,17:36:49 | INFO | Train Epoch: 14 [10496512/26365952 (40%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.10300 (0.092114) Boundary_loss: 0.012744 (0.012795) Loss: 0.11574 (0.10491) +2025-08-25,17:37:47 | INFO | Train Epoch: 14 [10547712/26365952 (40%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.16246 (0.092454) Boundary_loss: 0.012800 (0.012795) Loss: 0.17526 (0.10525) +2025-08-25,17:38:46 | INFO | Train Epoch: 14 [10598912/26365952 (40%)] Avg Boundaries (per batch): 19.287 Boundary Ratio: 0.098 Contrastive_loss: 0.071189 (0.092352) Boundary_loss: 0.012788 (0.012795) Loss: 0.083977 (0.10515) +2025-08-25,17:39:44 | INFO | Train Epoch: 14 [10650112/26365952 (40%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.10776 (0.092425) Boundary_loss: 0.012795 (0.012795) Loss: 0.12055 (0.10522) +2025-08-25,17:40:43 | INFO | Train Epoch: 14 [10701312/26365952 (41%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.083400 (0.092382) Boundary_loss: 0.012820 (0.012795) Loss: 0.096220 (0.10518) +2025-08-25,17:41:42 | INFO | Train Epoch: 14 [10752512/26365952 (41%)] Avg Boundaries (per batch): 19.104 Boundary Ratio: 0.097 Contrastive_loss: 0.071090 (0.092282) Boundary_loss: 0.012769 (0.012795) Loss: 0.083859 (0.10508) +2025-08-25,17:42:40 | INFO | Train Epoch: 14 [10803712/26365952 (41%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.083706 (0.092241) Boundary_loss: 0.012896 (0.012795) Loss: 0.096602 (0.10504) +2025-08-25,17:43:39 | INFO | Train Epoch: 14 [10854912/26365952 (41%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.095248 (0.092255) Boundary_loss: 0.012775 (0.012795) Loss: 0.10802 (0.10505) +2025-08-25,17:44:37 | INFO | Train Epoch: 14 [10906112/26365952 (41%)] Avg Boundaries (per batch): 19.486 Boundary Ratio: 0.099 Contrastive_loss: 0.12343 (0.092401) Boundary_loss: 0.012841 (0.012795) Loss: 0.13627 (0.10520) +2025-08-25,17:45:36 | INFO | Train Epoch: 14 [10957312/26365952 (42%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.088326 (0.092382) Boundary_loss: 0.012822 (0.012795) Loss: 0.10115 (0.10518) +2025-08-25,17:46:34 | INFO | Train Epoch: 14 [11008512/26365952 (42%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.10668 (0.092448) Boundary_loss: 0.012769 (0.012795) Loss: 0.11945 (0.10524) +2025-08-25,17:47:33 | INFO | Train Epoch: 14 [11059712/26365952 (42%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.081666 (0.092398) Boundary_loss: 0.012783 (0.012795) Loss: 0.094448 (0.10519) +2025-08-25,17:48:32 | INFO | Train Epoch: 14 [11110912/26365952 (42%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.088354 (0.092380) Boundary_loss: 0.012775 (0.012795) Loss: 0.10113 (0.10518) +2025-08-25,17:49:30 | INFO | Train Epoch: 14 [11162112/26365952 (42%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.098212 (0.092407) Boundary_loss: 0.012888 (0.012796) Loss: 0.11110 (0.10520) +2025-08-25,17:50:29 | INFO | Train Epoch: 14 [11213312/26365952 (43%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.10124 (0.092447) Boundary_loss: 0.012815 (0.012796) Loss: 0.11406 (0.10524) +2025-08-25,17:51:27 | INFO | Train Epoch: 14 [11264512/26365952 (43%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.095348 (0.092460) Boundary_loss: 0.012800 (0.012796) Loss: 0.10815 (0.10526) +2025-08-25,17:52:26 | INFO | Train Epoch: 14 [11315712/26365952 (43%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.097162 (0.092481) Boundary_loss: 0.012876 (0.012796) Loss: 0.11004 (0.10528) +2025-08-25,17:53:24 | INFO | Train Epoch: 14 [11366912/26365952 (43%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.078908 (0.092420) Boundary_loss: 0.012783 (0.012796) Loss: 0.091691 (0.10522) +2025-08-25,17:54:23 | INFO | Train Epoch: 14 [11418112/26365952 (43%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.039859 (0.092185) Boundary_loss: 0.012827 (0.012796) Loss: 0.052686 (0.10498) +2025-08-25,17:55:22 | INFO | Train Epoch: 14 [11469312/26365952 (44%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.075463 (0.092111) Boundary_loss: 0.012886 (0.012797) Loss: 0.088348 (0.10491) +2025-08-25,17:56:20 | INFO | Train Epoch: 14 [11520512/26365952 (44%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.089001 (0.092097) Boundary_loss: 0.012698 (0.012796) Loss: 0.10170 (0.10489) +2025-08-25,17:57:19 | INFO | Train Epoch: 14 [11571712/26365952 (44%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.098432 (0.092125) Boundary_loss: 0.012794 (0.012796) Loss: 0.11123 (0.10492) +2025-08-25,17:58:17 | INFO | Train Epoch: 14 [11622912/26365952 (44%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.096775 (0.092146) Boundary_loss: 0.012818 (0.012796) Loss: 0.10959 (0.10494) +2025-08-25,17:59:16 | INFO | Train Epoch: 14 [11674112/26365952 (44%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.069526 (0.092047) Boundary_loss: 0.012699 (0.012796) Loss: 0.082225 (0.10484) +2025-08-25,18:00:14 | INFO | Train Epoch: 14 [11725312/26365952 (44%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.091386 (0.092044) Boundary_loss: 0.012899 (0.012796) Loss: 0.10429 (0.10484) +2025-08-25,18:01:13 | INFO | Train Epoch: 14 [11776512/26365952 (45%)] Avg Boundaries (per batch): 19.189 Boundary Ratio: 0.098 Contrastive_loss: 0.061949 (0.091914) Boundary_loss: 0.012774 (0.012796) Loss: 0.074723 (0.10471) +2025-08-25,18:02:11 | INFO | Train Epoch: 14 [11827712/26365952 (45%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.087847 (0.091896) Boundary_loss: 0.012760 (0.012796) Loss: 0.10061 (0.10469) +2025-08-25,18:03:10 | INFO | Train Epoch: 14 [11878912/26365952 (45%)] Avg Boundaries (per batch): 19.301 Boundary Ratio: 0.098 Contrastive_loss: 0.097455 (0.091920) Boundary_loss: 0.012772 (0.012796) Loss: 0.11023 (0.10472) +2025-08-25,18:04:09 | INFO | Train Epoch: 14 [11930112/26365952 (45%)] Avg Boundaries (per batch): 19.416 Boundary Ratio: 0.099 Contrastive_loss: 0.089932 (0.091912) Boundary_loss: 0.012769 (0.012796) Loss: 0.10270 (0.10471) +2025-08-25,18:05:07 | INFO | Train Epoch: 14 [11981312/26365952 (45%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.10227 (0.091956) Boundary_loss: 0.012789 (0.012796) Loss: 0.11506 (0.10475) +2025-08-25,18:06:06 | INFO | Train Epoch: 14 [12032512/26365952 (46%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.10127 (0.091995) Boundary_loss: 0.012799 (0.012796) Loss: 0.11406 (0.10479) +2025-08-25,18:07:04 | INFO | Train Epoch: 14 [12083712/26365952 (46%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.081797 (0.091952) Boundary_loss: 0.012802 (0.012796) Loss: 0.094599 (0.10475) +2025-08-25,18:08:03 | INFO | Train Epoch: 14 [12134912/26365952 (46%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.10238 (0.091996) Boundary_loss: 0.012830 (0.012796) Loss: 0.11521 (0.10479) +2025-08-25,18:09:01 | INFO | Train Epoch: 14 [12186112/26365952 (46%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.083012 (0.091958) Boundary_loss: 0.012780 (0.012796) Loss: 0.095791 (0.10475) +2025-08-25,18:10:00 | INFO | Train Epoch: 14 [12237312/26365952 (46%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.091261 (0.091955) Boundary_loss: 0.012817 (0.012796) Loss: 0.10408 (0.10475) +2025-08-25,18:10:59 | INFO | Train Epoch: 14 [12288512/26365952 (47%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.11480 (0.092050) Boundary_loss: 0.012848 (0.012796) Loss: 0.12765 (0.10485) +2025-08-25,18:11:57 | INFO | Train Epoch: 14 [12339712/26365952 (47%)] Avg Boundaries (per batch): 19.145 Boundary Ratio: 0.098 Contrastive_loss: 0.098111 (0.092075) Boundary_loss: 0.012833 (0.012796) Loss: 0.11094 (0.10487) +2025-08-25,18:12:56 | INFO | Train Epoch: 14 [12390912/26365952 (47%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.11368 (0.092164) Boundary_loss: 0.012828 (0.012796) Loss: 0.12650 (0.10496) +2025-08-25,18:13:54 | INFO | Train Epoch: 14 [12442112/26365952 (47%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.10050 (0.092198) Boundary_loss: 0.012807 (0.012796) Loss: 0.11331 (0.10499) +2025-08-25,18:14:53 | INFO | Train Epoch: 14 [12493312/26365952 (47%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.095578 (0.092212) Boundary_loss: 0.012809 (0.012797) Loss: 0.10839 (0.10501) +2025-08-25,18:15:52 | INFO | Train Epoch: 14 [12544512/26365952 (48%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.072939 (0.092134) Boundary_loss: 0.012700 (0.012796) Loss: 0.085639 (0.10493) +2025-08-25,18:16:50 | INFO | Train Epoch: 14 [12595712/26365952 (48%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.069620 (0.092043) Boundary_loss: 0.012800 (0.012796) Loss: 0.082420 (0.10484) +2025-08-25,18:17:49 | INFO | Train Epoch: 14 [12646912/26365952 (48%)] Avg Boundaries (per batch): 19.502 Boundary Ratio: 0.099 Contrastive_loss: 0.10017 (0.092075) Boundary_loss: 0.012876 (0.012796) Loss: 0.11304 (0.10487) +2025-08-25,18:18:47 | INFO | Train Epoch: 14 [12698112/26365952 (48%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.099775 (0.092106) Boundary_loss: 0.012799 (0.012796) Loss: 0.11257 (0.10490) +2025-08-25,18:19:46 | INFO | Train Epoch: 14 [12749312/26365952 (48%)] Avg Boundaries (per batch): 19.273 Boundary Ratio: 0.098 Contrastive_loss: 0.085853 (0.092081) Boundary_loss: 0.012751 (0.012796) Loss: 0.098604 (0.10488) +2025-08-25,18:20:45 | INFO | Train Epoch: 14 [12800512/26365952 (49%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.084106 (0.092050) Boundary_loss: 0.012787 (0.012796) Loss: 0.096893 (0.10485) +2025-08-25,18:21:43 | INFO | Train Epoch: 14 [12851712/26365952 (49%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.12774 (0.092191) Boundary_loss: 0.012781 (0.012796) Loss: 0.14052 (0.10499) +2025-08-25,18:22:42 | INFO | Train Epoch: 14 [12902912/26365952 (49%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.074564 (0.092121) Boundary_loss: 0.012837 (0.012796) Loss: 0.087401 (0.10492) +2025-08-25,18:23:40 | INFO | Train Epoch: 14 [12954112/26365952 (49%)] Avg Boundaries (per batch): 19.186 Boundary Ratio: 0.098 Contrastive_loss: 0.082646 (0.092084) Boundary_loss: 0.012797 (0.012796) Loss: 0.095444 (0.10488) +2025-08-25,18:24:39 | INFO | Train Epoch: 14 [13005312/26365952 (49%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.097547 (0.092106) Boundary_loss: 0.012874 (0.012797) Loss: 0.11042 (0.10490) +2025-08-25,18:25:37 | INFO | Train Epoch: 14 [13056512/26365952 (50%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.069123 (0.092016) Boundary_loss: 0.012842 (0.012797) Loss: 0.081965 (0.10481) +2025-08-25,18:26:36 | INFO | Train Epoch: 14 [13107712/26365952 (50%)] Avg Boundaries (per batch): 19.369 Boundary Ratio: 0.099 Contrastive_loss: 0.10862 (0.092080) Boundary_loss: 0.012875 (0.012797) Loss: 0.12150 (0.10488) +2025-08-25,18:27:34 | INFO | Train Epoch: 14 [13158912/26365952 (50%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.10291 (0.092122) Boundary_loss: 0.012839 (0.012797) Loss: 0.11575 (0.10492) +2025-08-25,18:28:33 | INFO | Train Epoch: 14 [13210112/26365952 (50%)] Avg Boundaries (per batch): 19.195 Boundary Ratio: 0.098 Contrastive_loss: 0.086361 (0.092100) Boundary_loss: 0.012662 (0.012797) Loss: 0.099023 (0.10490) +2025-08-25,18:29:32 | INFO | Train Epoch: 14 [13261312/26365952 (50%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.052264 (0.091947) Boundary_loss: 0.012773 (0.012797) Loss: 0.065037 (0.10474) +2025-08-25,18:30:30 | INFO | Train Epoch: 14 [13312512/26365952 (50%)] Avg Boundaries (per batch): 19.400 Boundary Ratio: 0.099 Contrastive_loss: 0.073339 (0.091876) Boundary_loss: 0.012839 (0.012797) Loss: 0.086178 (0.10467) +2025-08-25,18:31:29 | INFO | Train Epoch: 14 [13363712/26365952 (51%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.11171 (0.091951) Boundary_loss: 0.012792 (0.012797) Loss: 0.12450 (0.10475) +2025-08-25,18:32:27 | INFO | Train Epoch: 14 [13414912/26365952 (51%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.10684 (0.092008) Boundary_loss: 0.012743 (0.012797) Loss: 0.11958 (0.10480) +2025-08-25,18:33:26 | INFO | Train Epoch: 14 [13466112/26365952 (51%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.084998 (0.091981) Boundary_loss: 0.012798 (0.012797) Loss: 0.097796 (0.10478) +2025-08-25,18:34:25 | INFO | Train Epoch: 14 [13517312/26365952 (51%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.086492 (0.091961) Boundary_loss: 0.012711 (0.012796) Loss: 0.099202 (0.10476) +2025-08-25,18:35:23 | INFO | Train Epoch: 14 [13568512/26365952 (51%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.092062 (0.091961) Boundary_loss: 0.012735 (0.012796) Loss: 0.10480 (0.10476) +2025-08-25,18:36:22 | INFO | Train Epoch: 14 [13619712/26365952 (52%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.092269 (0.091962) Boundary_loss: 0.012791 (0.012796) Loss: 0.10506 (0.10476) +2025-08-25,18:37:21 | INFO | Train Epoch: 14 [13670912/26365952 (52%)] Avg Boundaries (per batch): 19.111 Boundary Ratio: 0.098 Contrastive_loss: 0.083748 (0.091932) Boundary_loss: 0.012868 (0.012796) Loss: 0.096615 (0.10473) +2025-08-25,18:38:19 | INFO | Train Epoch: 14 [13722112/26365952 (52%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.10039 (0.091963) Boundary_loss: 0.012801 (0.012796) Loss: 0.11319 (0.10476) +2025-08-25,18:39:18 | INFO | Train Epoch: 14 [13773312/26365952 (52%)] Avg Boundaries (per batch): 19.453 Boundary Ratio: 0.099 Contrastive_loss: 0.084039 (0.091934) Boundary_loss: 0.012794 (0.012796) Loss: 0.096833 (0.10473) +2025-08-25,18:40:17 | INFO | Train Epoch: 14 [13824512/26365952 (52%)] Avg Boundaries (per batch): 19.529 Boundary Ratio: 0.100 Contrastive_loss: 0.081607 (0.091896) Boundary_loss: 0.012929 (0.012797) Loss: 0.094536 (0.10469) +2025-08-25,18:41:15 | INFO | Train Epoch: 14 [13875712/26365952 (53%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.10453 (0.091942) Boundary_loss: 0.012746 (0.012797) Loss: 0.11728 (0.10474) +2025-08-25,18:42:14 | INFO | Train Epoch: 14 [13926912/26365952 (53%)] Avg Boundaries (per batch): 19.035 Boundary Ratio: 0.097 Contrastive_loss: 0.068037 (0.091854) Boundary_loss: 0.012820 (0.012797) Loss: 0.080857 (0.10465) +2025-08-25,18:43:12 | INFO | Train Epoch: 14 [13978112/26365952 (53%)] Avg Boundaries (per batch): 19.051 Boundary Ratio: 0.097 Contrastive_loss: 0.062879 (0.091749) Boundary_loss: 0.012769 (0.012797) Loss: 0.075647 (0.10455) +2025-08-25,18:44:11 | INFO | Train Epoch: 14 [14029312/26365952 (53%)] Avg Boundaries (per batch): 19.246 Boundary Ratio: 0.098 Contrastive_loss: 0.082501 (0.091715) Boundary_loss: 0.012784 (0.012797) Loss: 0.095285 (0.10451) +2025-08-25,18:45:10 | INFO | Train Epoch: 14 [14080512/26365952 (53%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.079645 (0.091671) Boundary_loss: 0.012884 (0.012797) Loss: 0.092529 (0.10447) +2025-08-25,18:46:09 | INFO | Train Epoch: 14 [14131712/26365952 (54%)] Avg Boundaries (per batch): 19.389 Boundary Ratio: 0.099 Contrastive_loss: 0.099048 (0.091698) Boundary_loss: 0.012878 (0.012797) Loss: 0.11193 (0.10450) +2025-08-25,18:47:07 | INFO | Train Epoch: 14 [14182912/26365952 (54%)] Avg Boundaries (per batch): 19.404 Boundary Ratio: 0.099 Contrastive_loss: 0.074370 (0.091636) Boundary_loss: 0.012835 (0.012797) Loss: 0.087205 (0.10443) +2025-08-25,18:48:06 | INFO | Train Epoch: 14 [14234112/26365952 (54%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.080124 (0.091594) Boundary_loss: 0.012793 (0.012797) Loss: 0.092917 (0.10439) +2025-08-25,18:49:04 | INFO | Train Epoch: 14 [14285312/26365952 (54%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.11463 (0.091677) Boundary_loss: 0.012729 (0.012797) Loss: 0.12736 (0.10447) +2025-08-25,18:50:03 | INFO | Train Epoch: 14 [14336512/26365952 (54%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.11698 (0.091767) Boundary_loss: 0.012787 (0.012797) Loss: 0.12977 (0.10456) +2025-08-25,18:51:01 | INFO | Train Epoch: 14 [14387712/26365952 (55%)] Avg Boundaries (per batch): 19.139 Boundary Ratio: 0.098 Contrastive_loss: 0.12798 (0.091895) Boundary_loss: 0.012848 (0.012797) Loss: 0.14083 (0.10469) +2025-08-25,18:52:00 | INFO | Train Epoch: 14 [14438912/26365952 (55%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.071559 (0.091823) Boundary_loss: 0.012785 (0.012797) Loss: 0.084345 (0.10462) +2025-08-25,18:52:59 | INFO | Train Epoch: 14 [14490112/26365952 (55%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.11213 (0.091895) Boundary_loss: 0.012727 (0.012797) Loss: 0.12486 (0.10469) +2025-08-25,18:53:57 | INFO | Train Epoch: 14 [14541312/26365952 (55%)] Avg Boundaries (per batch): 19.043 Boundary Ratio: 0.097 Contrastive_loss: 0.10294 (0.091934) Boundary_loss: 0.012788 (0.012797) Loss: 0.11572 (0.10473) +2025-08-25,18:54:56 | INFO | Train Epoch: 14 [14592512/26365952 (55%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.095759 (0.091947) Boundary_loss: 0.012734 (0.012797) Loss: 0.10849 (0.10474) +2025-08-25,18:55:55 | INFO | Train Epoch: 14 [14643712/26365952 (56%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.073636 (0.091883) Boundary_loss: 0.012763 (0.012797) Loss: 0.086400 (0.10468) +2025-08-25,18:56:53 | INFO | Train Epoch: 14 [14694912/26365952 (56%)] Avg Boundaries (per batch): 19.158 Boundary Ratio: 0.098 Contrastive_loss: 0.095854 (0.091897) Boundary_loss: 0.012757 (0.012796) Loss: 0.10861 (0.10469) +2025-08-25,18:57:52 | INFO | Train Epoch: 14 [14746112/26365952 (56%)] Avg Boundaries (per batch): 19.057 Boundary Ratio: 0.097 Contrastive_loss: 0.076266 (0.091843) Boundary_loss: 0.012863 (0.012797) Loss: 0.089128 (0.10464) +2025-08-25,18:58:50 | INFO | Train Epoch: 14 [14797312/26365952 (56%)] Avg Boundaries (per batch): 19.391 Boundary Ratio: 0.099 Contrastive_loss: 0.069101 (0.091764) Boundary_loss: 0.012765 (0.012797) Loss: 0.081866 (0.10456) +2025-08-25,18:59:49 | INFO | Train Epoch: 14 [14848512/26365952 (56%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.080180 (0.091725) Boundary_loss: 0.012746 (0.012796) Loss: 0.092926 (0.10452) +2025-08-25,19:00:47 | INFO | Train Epoch: 14 [14899712/26365952 (57%)] Avg Boundaries (per batch): 19.375 Boundary Ratio: 0.099 Contrastive_loss: 0.090152 (0.091719) Boundary_loss: 0.012778 (0.012796) Loss: 0.10293 (0.10452) +2025-08-25,19:01:46 | INFO | Train Epoch: 14 [14950912/26365952 (57%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.089970 (0.091713) Boundary_loss: 0.012748 (0.012796) Loss: 0.10272 (0.10451) +2025-08-25,19:02:44 | INFO | Train Epoch: 14 [15002112/26365952 (57%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.045658 (0.091557) Boundary_loss: 0.012772 (0.012796) Loss: 0.058431 (0.10435) +2025-08-25,19:03:43 | INFO | Train Epoch: 14 [15053312/26365952 (57%)] Avg Boundaries (per batch): 19.209 Boundary Ratio: 0.098 Contrastive_loss: 0.096141 (0.091572) Boundary_loss: 0.012852 (0.012796) Loss: 0.10899 (0.10437) +2025-08-25,19:04:41 | INFO | Train Epoch: 14 [15104512/26365952 (57%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.083937 (0.091546) Boundary_loss: 0.012796 (0.012796) Loss: 0.096733 (0.10434) +2025-08-25,19:05:40 | INFO | Train Epoch: 14 [15155712/26365952 (57%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.094123 (0.091555) Boundary_loss: 0.012697 (0.012796) Loss: 0.10682 (0.10435) +2025-08-25,19:06:39 | INFO | Train Epoch: 14 [15206912/26365952 (58%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.064915 (0.091466) Boundary_loss: 0.012729 (0.012796) Loss: 0.077644 (0.10426) +2025-08-25,19:07:37 | INFO | Train Epoch: 14 [15258112/26365952 (58%)] Avg Boundaries (per batch): 19.084 Boundary Ratio: 0.097 Contrastive_loss: 0.094255 (0.091475) Boundary_loss: 0.012763 (0.012796) Loss: 0.10702 (0.10427) +2025-08-25,19:08:36 | INFO | Train Epoch: 14 [15309312/26365952 (58%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.081753 (0.091443) Boundary_loss: 0.012888 (0.012796) Loss: 0.094641 (0.10424) +2025-08-25,19:09:34 | INFO | Train Epoch: 14 [15360512/26365952 (58%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.12925 (0.091568) Boundary_loss: 0.012766 (0.012796) Loss: 0.14202 (0.10436) +2025-08-25,19:10:33 | INFO | Train Epoch: 14 [15411712/26365952 (58%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.084265 (0.091544) Boundary_loss: 0.012865 (0.012796) Loss: 0.097130 (0.10434) +2025-08-25,19:11:31 | INFO | Train Epoch: 14 [15462912/26365952 (59%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.066262 (0.091460) Boundary_loss: 0.012812 (0.012796) Loss: 0.079075 (0.10426) +2025-08-25,19:12:30 | INFO | Train Epoch: 14 [15514112/26365952 (59%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.11249 (0.091530) Boundary_loss: 0.012798 (0.012796) Loss: 0.12529 (0.10433) +2025-08-25,19:13:29 | INFO | Train Epoch: 14 [15565312/26365952 (59%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.063543 (0.091438) Boundary_loss: 0.012814 (0.012796) Loss: 0.076357 (0.10423) +2025-08-25,19:14:27 | INFO | Train Epoch: 14 [15616512/26365952 (59%)] Avg Boundaries (per batch): 19.451 Boundary Ratio: 0.099 Contrastive_loss: 0.065814 (0.091354) Boundary_loss: 0.012816 (0.012796) Loss: 0.078631 (0.10415) +2025-08-25,19:15:26 | INFO | Train Epoch: 14 [15667712/26365952 (59%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.073254 (0.091295) Boundary_loss: 0.012783 (0.012796) Loss: 0.086037 (0.10409) +2025-08-25,19:16:24 | INFO | Train Epoch: 14 [15718912/26365952 (60%)] Avg Boundaries (per batch): 19.285 Boundary Ratio: 0.098 Contrastive_loss: 0.13872 (0.091449) Boundary_loss: 0.012757 (0.012796) Loss: 0.15148 (0.10425) +2025-08-25,19:17:23 | INFO | Train Epoch: 14 [15770112/26365952 (60%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.086133 (0.091432) Boundary_loss: 0.012794 (0.012796) Loss: 0.098928 (0.10423) +2025-08-25,19:18:21 | INFO | Train Epoch: 14 [15821312/26365952 (60%)] Avg Boundaries (per batch): 19.490 Boundary Ratio: 0.099 Contrastive_loss: 0.055334 (0.091316) Boundary_loss: 0.012818 (0.012796) Loss: 0.068152 (0.10411) +2025-08-25,19:19:20 | INFO | Train Epoch: 14 [15872512/26365952 (60%)] Avg Boundaries (per batch): 19.201 Boundary Ratio: 0.098 Contrastive_loss: 0.10948 (0.091374) Boundary_loss: 0.012845 (0.012796) Loss: 0.12233 (0.10417) +2025-08-25,19:20:19 | INFO | Train Epoch: 14 [15923712/26365952 (60%)] Avg Boundaries (per batch): 19.254 Boundary Ratio: 0.098 Contrastive_loss: 0.065554 (0.091291) Boundary_loss: 0.012762 (0.012796) Loss: 0.078316 (0.10409) +2025-08-25,19:21:17 | INFO | Train Epoch: 14 [15974912/26365952 (61%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.10693 (0.091341) Boundary_loss: 0.012795 (0.012796) Loss: 0.11972 (0.10414) +2025-08-25,19:22:16 | INFO | Train Epoch: 14 [16026112/26365952 (61%)] Avg Boundaries (per batch): 19.184 Boundary Ratio: 0.098 Contrastive_loss: 0.082776 (0.091314) Boundary_loss: 0.012742 (0.012796) Loss: 0.095519 (0.10411) +2025-08-25,19:23:14 | INFO | Train Epoch: 14 [16077312/26365952 (61%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.072227 (0.091253) Boundary_loss: 0.012841 (0.012796) Loss: 0.085068 (0.10405) +2025-08-25,19:24:13 | INFO | Train Epoch: 14 [16128512/26365952 (61%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.098427 (0.091276) Boundary_loss: 0.012753 (0.012796) Loss: 0.11118 (0.10407) +2025-08-25,19:25:12 | INFO | Train Epoch: 14 [16179712/26365952 (61%)] Avg Boundaries (per batch): 19.162 Boundary Ratio: 0.098 Contrastive_loss: 0.088692 (0.091268) Boundary_loss: 0.012798 (0.012796) Loss: 0.10149 (0.10406) +2025-08-25,19:26:10 | INFO | Train Epoch: 14 [16230912/26365952 (62%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.068513 (0.091196) Boundary_loss: 0.012927 (0.012796) Loss: 0.081439 (0.10399) +2025-08-25,19:27:09 | INFO | Train Epoch: 14 [16282112/26365952 (62%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.077233 (0.091152) Boundary_loss: 0.012694 (0.012796) Loss: 0.089927 (0.10395) +2025-08-25,19:28:07 | INFO | Train Epoch: 14 [16333312/26365952 (62%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.072165 (0.091093) Boundary_loss: 0.012863 (0.012796) Loss: 0.085028 (0.10389) +2025-08-25,19:29:06 | INFO | Train Epoch: 14 [16384512/26365952 (62%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.094260 (0.091103) Boundary_loss: 0.012740 (0.012796) Loss: 0.10700 (0.10390) +2025-08-25,19:30:04 | INFO | Train Epoch: 14 [16435712/26365952 (62%)] Avg Boundaries (per batch): 19.406 Boundary Ratio: 0.099 Contrastive_loss: 0.12707 (0.091215) Boundary_loss: 0.012816 (0.012796) Loss: 0.13988 (0.10401) +2025-08-25,19:31:03 | INFO | Train Epoch: 14 [16486912/26365952 (63%)] Avg Boundaries (per batch): 19.176 Boundary Ratio: 0.098 Contrastive_loss: 0.11376 (0.091285) Boundary_loss: 0.012876 (0.012796) Loss: 0.12664 (0.10408) +2025-08-25,19:32:02 | INFO | Train Epoch: 14 [16538112/26365952 (63%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.093688 (0.091292) Boundary_loss: 0.012801 (0.012796) Loss: 0.10649 (0.10409) +2025-08-25,19:33:00 | INFO | Train Epoch: 14 [16589312/26365952 (63%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.10242 (0.091326) Boundary_loss: 0.012722 (0.012796) Loss: 0.11514 (0.10412) +2025-08-25,19:33:59 | INFO | Train Epoch: 14 [16640512/26365952 (63%)] Avg Boundaries (per batch): 19.381 Boundary Ratio: 0.099 Contrastive_loss: 0.079498 (0.091290) Boundary_loss: 0.012803 (0.012796) Loss: 0.092302 (0.10409) +2025-08-25,19:34:57 | INFO | Train Epoch: 14 [16691712/26365952 (63%)] Avg Boundaries (per batch): 19.188 Boundary Ratio: 0.098 Contrastive_loss: 0.090318 (0.091287) Boundary_loss: 0.012856 (0.012796) Loss: 0.10317 (0.10408) +2025-08-25,19:35:56 | INFO | Train Epoch: 14 [16742912/26365952 (64%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.10759 (0.091337) Boundary_loss: 0.012750 (0.012796) Loss: 0.12034 (0.10413) +2025-08-25,19:36:55 | INFO | Train Epoch: 14 [16794112/26365952 (64%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.092258 (0.091339) Boundary_loss: 0.012861 (0.012796) Loss: 0.10512 (0.10414) +2025-08-25,19:37:53 | INFO | Train Epoch: 14 [16845312/26365952 (64%)] Avg Boundaries (per batch): 19.100 Boundary Ratio: 0.097 Contrastive_loss: 0.10089 (0.091368) Boundary_loss: 0.012736 (0.012796) Loss: 0.11363 (0.10416) +2025-08-25,19:38:52 | INFO | Train Epoch: 14 [16896512/26365952 (64%)] Avg Boundaries (per batch): 19.232 Boundary Ratio: 0.098 Contrastive_loss: 0.097322 (0.091386) Boundary_loss: 0.012659 (0.012796) Loss: 0.10998 (0.10418) +2025-08-25,19:39:50 | INFO | Train Epoch: 14 [16947712/26365952 (64%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.075955 (0.091340) Boundary_loss: 0.012788 (0.012796) Loss: 0.088743 (0.10414) +2025-08-25,19:40:49 | INFO | Train Epoch: 14 [16998912/26365952 (64%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.076643 (0.091296) Boundary_loss: 0.012883 (0.012796) Loss: 0.089525 (0.10409) +2025-08-25,19:41:48 | INFO | Train Epoch: 14 [17050112/26365952 (65%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.074581 (0.091246) Boundary_loss: 0.012838 (0.012796) Loss: 0.087419 (0.10404) +2025-08-25,19:42:46 | INFO | Train Epoch: 14 [17101312/26365952 (65%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.088504 (0.091238) Boundary_loss: 0.012841 (0.012796) Loss: 0.10135 (0.10403) +2025-08-25,19:43:45 | INFO | Train Epoch: 14 [17152512/26365952 (65%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.075761 (0.091191) Boundary_loss: 0.012774 (0.012796) Loss: 0.088535 (0.10399) +2025-08-25,19:44:44 | INFO | Train Epoch: 14 [17203712/26365952 (65%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.11464 (0.091261) Boundary_loss: 0.012804 (0.012796) Loss: 0.12744 (0.10406) +2025-08-25,19:45:42 | INFO | Train Epoch: 14 [17254912/26365952 (65%)] Avg Boundaries (per batch): 18.947 Boundary Ratio: 0.097 Contrastive_loss: 0.067590 (0.091191) Boundary_loss: 0.012797 (0.012796) Loss: 0.080387 (0.10399) +2025-08-25,19:46:41 | INFO | Train Epoch: 14 [17306112/26365952 (66%)] Avg Boundaries (per batch): 19.387 Boundary Ratio: 0.099 Contrastive_loss: 0.098909 (0.091214) Boundary_loss: 0.012845 (0.012796) Loss: 0.11175 (0.10401) +2025-08-25,19:47:39 | INFO | Train Epoch: 14 [17357312/26365952 (66%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.087675 (0.091203) Boundary_loss: 0.012745 (0.012796) Loss: 0.10042 (0.10400) +2025-08-25,19:48:38 | INFO | Train Epoch: 14 [17408512/26365952 (66%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.094413 (0.091213) Boundary_loss: 0.012777 (0.012796) Loss: 0.10719 (0.10401) +2025-08-25,19:49:37 | INFO | Train Epoch: 14 [17459712/26365952 (66%)] Avg Boundaries (per batch): 19.117 Boundary Ratio: 0.098 Contrastive_loss: 0.087871 (0.091203) Boundary_loss: 0.012807 (0.012796) Loss: 0.10068 (0.10400) +2025-08-25,19:50:35 | INFO | Train Epoch: 14 [17510912/26365952 (66%)] Avg Boundaries (per batch): 19.154 Boundary Ratio: 0.098 Contrastive_loss: 0.064180 (0.091124) Boundary_loss: 0.012766 (0.012796) Loss: 0.076946 (0.10392) +2025-08-25,19:51:34 | INFO | Train Epoch: 14 [17562112/26365952 (67%)] Avg Boundaries (per batch): 19.178 Boundary Ratio: 0.098 Contrastive_loss: 0.10987 (0.091179) Boundary_loss: 0.012762 (0.012796) Loss: 0.12263 (0.10397) +2025-08-25,19:52:33 | INFO | Train Epoch: 14 [17613312/26365952 (67%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.10271 (0.091212) Boundary_loss: 0.012758 (0.012796) Loss: 0.11546 (0.10401) +2025-08-25,19:53:31 | INFO | Train Epoch: 14 [17664512/26365952 (67%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.079264 (0.091178) Boundary_loss: 0.012794 (0.012796) Loss: 0.092057 (0.10397) +2025-08-25,19:54:30 | INFO | Train Epoch: 14 [17715712/26365952 (67%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.095354 (0.091190) Boundary_loss: 0.012845 (0.012796) Loss: 0.10820 (0.10399) +2025-08-25,19:55:28 | INFO | Train Epoch: 14 [17766912/26365952 (67%)] Avg Boundaries (per batch): 19.268 Boundary Ratio: 0.098 Contrastive_loss: 0.10645 (0.091233) Boundary_loss: 0.012753 (0.012796) Loss: 0.11921 (0.10403) +2025-08-25,19:56:27 | INFO | Train Epoch: 14 [17818112/26365952 (68%)] Avg Boundaries (per batch): 19.133 Boundary Ratio: 0.098 Contrastive_loss: 0.070449 (0.091174) Boundary_loss: 0.012832 (0.012796) Loss: 0.083281 (0.10397) +2025-08-25,19:57:26 | INFO | Train Epoch: 14 [17869312/26365952 (68%)] Avg Boundaries (per batch): 19.094 Boundary Ratio: 0.097 Contrastive_loss: 0.061510 (0.091089) Boundary_loss: 0.012804 (0.012796) Loss: 0.074314 (0.10389) +2025-08-25,19:58:24 | INFO | Train Epoch: 14 [17920512/26365952 (68%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.10895 (0.091140) Boundary_loss: 0.012791 (0.012796) Loss: 0.12174 (0.10394) +2025-08-25,19:59:23 | INFO | Train Epoch: 14 [17971712/26365952 (68%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.099949 (0.091165) Boundary_loss: 0.012842 (0.012796) Loss: 0.11279 (0.10396) +2025-08-25,20:00:22 | INFO | Train Epoch: 14 [18022912/26365952 (68%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.091627 (0.091166) Boundary_loss: 0.012754 (0.012796) Loss: 0.10438 (0.10396) +2025-08-25,20:01:20 | INFO | Train Epoch: 14 [18074112/26365952 (69%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.11923 (0.091246) Boundary_loss: 0.012781 (0.012796) Loss: 0.13202 (0.10404) +2025-08-25,20:02:19 | INFO | Train Epoch: 14 [18125312/26365952 (69%)] Avg Boundaries (per batch): 19.098 Boundary Ratio: 0.097 Contrastive_loss: 0.093405 (0.091252) Boundary_loss: 0.012774 (0.012796) Loss: 0.10618 (0.10405) +2025-08-25,20:03:18 | INFO | Train Epoch: 14 [18176512/26365952 (69%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.075375 (0.091207) Boundary_loss: 0.012742 (0.012796) Loss: 0.088116 (0.10400) +2025-08-25,20:04:16 | INFO | Train Epoch: 14 [18227712/26365952 (69%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.061212 (0.091123) Boundary_loss: 0.012804 (0.012796) Loss: 0.074016 (0.10392) +2025-08-25,20:05:15 | INFO | Train Epoch: 14 [18278912/26365952 (69%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.10270 (0.091155) Boundary_loss: 0.012857 (0.012796) Loss: 0.11556 (0.10395) +2025-08-25,20:06:14 | INFO | Train Epoch: 14 [18330112/26365952 (70%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.10888 (0.091205) Boundary_loss: 0.012808 (0.012796) Loss: 0.12169 (0.10400) +2025-08-25,20:07:12 | INFO | Train Epoch: 14 [18381312/26365952 (70%)] Avg Boundaries (per batch): 19.465 Boundary Ratio: 0.099 Contrastive_loss: 0.083796 (0.091184) Boundary_loss: 0.012833 (0.012796) Loss: 0.096629 (0.10398) +2025-08-25,20:08:11 | INFO | Train Epoch: 14 [18432512/26365952 (70%)] Avg Boundaries (per batch): 19.283 Boundary Ratio: 0.098 Contrastive_loss: 0.064559 (0.091111) Boundary_loss: 0.012802 (0.012796) Loss: 0.077361 (0.10391) +2025-08-25,20:09:10 | INFO | Train Epoch: 14 [18483712/26365952 (70%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.10017 (0.091136) Boundary_loss: 0.012766 (0.012796) Loss: 0.11294 (0.10393) +2025-08-25,20:10:08 | INFO | Train Epoch: 14 [18534912/26365952 (70%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.11271 (0.091195) Boundary_loss: 0.012808 (0.012796) Loss: 0.12552 (0.10399) +2025-08-25,20:11:07 | INFO | Train Epoch: 14 [18586112/26365952 (70%)] Avg Boundaries (per batch): 19.236 Boundary Ratio: 0.098 Contrastive_loss: 0.083996 (0.091175) Boundary_loss: 0.012720 (0.012796) Loss: 0.096715 (0.10397) +2025-08-25,20:12:06 | INFO | Train Epoch: 14 [18637312/26365952 (71%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.10235 (0.091206) Boundary_loss: 0.012717 (0.012796) Loss: 0.11507 (0.10400) +2025-08-25,20:13:04 | INFO | Train Epoch: 14 [18688512/26365952 (71%)] Avg Boundaries (per batch): 19.150 Boundary Ratio: 0.098 Contrastive_loss: 0.059749 (0.091120) Boundary_loss: 0.012753 (0.012796) Loss: 0.072502 (0.10392) +2025-08-25,20:14:03 | INFO | Train Epoch: 14 [18739712/26365952 (71%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.072732 (0.091070) Boundary_loss: 0.012798 (0.012796) Loss: 0.085529 (0.10387) +2025-08-25,20:15:02 | INFO | Train Epoch: 14 [18790912/26365952 (71%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.086340 (0.091057) Boundary_loss: 0.012762 (0.012796) Loss: 0.099102 (0.10385) +2025-08-25,20:16:00 | INFO | Train Epoch: 14 [18842112/26365952 (71%)] Avg Boundaries (per batch): 19.396 Boundary Ratio: 0.099 Contrastive_loss: 0.080397 (0.091028) Boundary_loss: 0.012757 (0.012795) Loss: 0.093154 (0.10382) +2025-08-25,20:16:59 | INFO | Train Epoch: 14 [18893312/26365952 (72%)] Avg Boundaries (per batch): 19.428 Boundary Ratio: 0.099 Contrastive_loss: 0.086290 (0.091015) Boundary_loss: 0.012808 (0.012795) Loss: 0.099098 (0.10381) +2025-08-25,20:17:58 | INFO | Train Epoch: 14 [18944512/26365952 (72%)] Avg Boundaries (per batch): 19.156 Boundary Ratio: 0.098 Contrastive_loss: 0.11331 (0.091075) Boundary_loss: 0.012807 (0.012795) Loss: 0.12612 (0.10387) +2025-08-25,20:18:56 | INFO | Train Epoch: 14 [18995712/26365952 (72%)] Avg Boundaries (per batch): 19.146 Boundary Ratio: 0.098 Contrastive_loss: 0.069887 (0.091018) Boundary_loss: 0.012741 (0.012795) Loss: 0.082627 (0.10381) +2025-08-25,20:19:55 | INFO | Train Epoch: 14 [19046912/26365952 (72%)] Avg Boundaries (per batch): 19.256 Boundary Ratio: 0.098 Contrastive_loss: 0.10669 (0.091060) Boundary_loss: 0.012867 (0.012796) Loss: 0.11955 (0.10386) +2025-08-25,20:20:54 | INFO | Train Epoch: 14 [19098112/26365952 (72%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.083923 (0.091041) Boundary_loss: 0.012857 (0.012796) Loss: 0.096780 (0.10384) +2025-08-25,20:21:52 | INFO | Train Epoch: 14 [19149312/26365952 (73%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.096894 (0.091057) Boundary_loss: 0.012748 (0.012796) Loss: 0.10964 (0.10385) +2025-08-25,20:22:51 | INFO | Train Epoch: 14 [19200512/26365952 (73%)] Avg Boundaries (per batch): 19.516 Boundary Ratio: 0.100 Contrastive_loss: 0.095290 (0.091068) Boundary_loss: 0.012756 (0.012795) Loss: 0.10805 (0.10386) +2025-08-25,20:23:50 | INFO | Train Epoch: 14 [19251712/26365952 (73%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.093948 (0.091076) Boundary_loss: 0.012814 (0.012796) Loss: 0.10676 (0.10387) +2025-08-25,20:24:48 | INFO | Train Epoch: 14 [19302912/26365952 (73%)] Avg Boundaries (per batch): 19.223 Boundary Ratio: 0.098 Contrastive_loss: 0.10148 (0.091103) Boundary_loss: 0.012802 (0.012796) Loss: 0.11428 (0.10390) +2025-08-25,20:25:47 | INFO | Train Epoch: 14 [19354112/26365952 (73%)] Avg Boundaries (per batch): 19.244 Boundary Ratio: 0.098 Contrastive_loss: 0.095211 (0.091114) Boundary_loss: 0.012750 (0.012795) Loss: 0.10796 (0.10391) +2025-08-25,20:26:46 | INFO | Train Epoch: 14 [19405312/26365952 (74%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.081517 (0.091089) Boundary_loss: 0.012749 (0.012795) Loss: 0.094266 (0.10388) +2025-08-25,20:27:44 | INFO | Train Epoch: 14 [19456512/26365952 (74%)] Avg Boundaries (per batch): 19.264 Boundary Ratio: 0.098 Contrastive_loss: 0.099777 (0.091112) Boundary_loss: 0.012862 (0.012795) Loss: 0.11264 (0.10391) +2025-08-25,20:28:43 | INFO | Train Epoch: 14 [19507712/26365952 (74%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.089165 (0.091107) Boundary_loss: 0.012742 (0.012795) Loss: 0.10191 (0.10390) +2025-08-25,20:29:42 | INFO | Train Epoch: 14 [19558912/26365952 (74%)] Avg Boundaries (per batch): 19.418 Boundary Ratio: 0.099 Contrastive_loss: 0.10239 (0.091136) Boundary_loss: 0.012912 (0.012796) Loss: 0.11530 (0.10393) +2025-08-25,20:30:40 | INFO | Train Epoch: 14 [19610112/26365952 (74%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.087380 (0.091126) Boundary_loss: 0.012811 (0.012796) Loss: 0.10019 (0.10392) +2025-08-25,20:31:39 | INFO | Train Epoch: 14 [19661312/26365952 (75%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.089615 (0.091122) Boundary_loss: 0.012764 (0.012796) Loss: 0.10238 (0.10392) +2025-08-25,20:32:38 | INFO | Train Epoch: 14 [19712512/26365952 (75%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.077857 (0.091088) Boundary_loss: 0.012803 (0.012796) Loss: 0.090659 (0.10388) +2025-08-25,20:33:36 | INFO | Train Epoch: 14 [19763712/26365952 (75%)] Avg Boundaries (per batch): 19.170 Boundary Ratio: 0.098 Contrastive_loss: 0.10025 (0.091112) Boundary_loss: 0.012809 (0.012796) Loss: 0.11306 (0.10391) +2025-08-25,20:34:35 | INFO | Train Epoch: 14 [19814912/26365952 (75%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.10003 (0.091135) Boundary_loss: 0.012826 (0.012796) Loss: 0.11286 (0.10393) +2025-08-25,20:35:34 | INFO | Train Epoch: 14 [19866112/26365952 (75%)] Avg Boundaries (per batch): 18.895 Boundary Ratio: 0.096 Contrastive_loss: 0.083003 (0.091114) Boundary_loss: 0.012741 (0.012796) Loss: 0.095744 (0.10391) +2025-08-25,20:36:32 | INFO | Train Epoch: 14 [19917312/26365952 (76%)] Avg Boundaries (per batch): 19.340 Boundary Ratio: 0.099 Contrastive_loss: 0.095301 (0.091124) Boundary_loss: 0.012800 (0.012796) Loss: 0.10810 (0.10392) +2025-08-25,20:37:31 | INFO | Train Epoch: 14 [19968512/26365952 (76%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.084648 (0.091108) Boundary_loss: 0.012809 (0.012796) Loss: 0.097457 (0.10390) +2025-08-25,20:38:30 | INFO | Train Epoch: 14 [20019712/26365952 (76%)] Avg Boundaries (per batch): 19.352 Boundary Ratio: 0.099 Contrastive_loss: 0.11887 (0.091179) Boundary_loss: 0.012874 (0.012796) Loss: 0.13175 (0.10397) +2025-08-25,20:39:29 | INFO | Train Epoch: 14 [20070912/26365952 (76%)] Avg Boundaries (per batch): 19.447 Boundary Ratio: 0.099 Contrastive_loss: 0.084764 (0.091162) Boundary_loss: 0.012775 (0.012796) Loss: 0.097539 (0.10396) +2025-08-25,20:40:27 | INFO | Train Epoch: 14 [20122112/26365952 (76%)] Avg Boundaries (per batch): 19.143 Boundary Ratio: 0.098 Contrastive_loss: 0.079457 (0.091133) Boundary_loss: 0.012760 (0.012796) Loss: 0.092218 (0.10393) +2025-08-25,20:41:26 | INFO | Train Epoch: 14 [20173312/26365952 (77%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.087316 (0.091123) Boundary_loss: 0.012744 (0.012796) Loss: 0.10006 (0.10392) +2025-08-25,20:42:25 | INFO | Train Epoch: 14 [20224512/26365952 (77%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.065832 (0.091059) Boundary_loss: 0.012816 (0.012796) Loss: 0.078649 (0.10385) +2025-08-25,20:43:23 | INFO | Train Epoch: 14 [20275712/26365952 (77%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.041319 (0.090934) Boundary_loss: 0.012705 (0.012795) Loss: 0.054024 (0.10373) +2025-08-25,20:44:22 | INFO | Train Epoch: 14 [20326912/26365952 (77%)] Avg Boundaries (per batch): 19.275 Boundary Ratio: 0.098 Contrastive_loss: 0.062632 (0.090863) Boundary_loss: 0.012766 (0.012795) Loss: 0.075399 (0.10366) +2025-08-25,20:45:21 | INFO | Train Epoch: 14 [20378112/26365952 (77%)] Avg Boundaries (per batch): 19.213 Boundary Ratio: 0.098 Contrastive_loss: 0.14958 (0.091010) Boundary_loss: 0.012798 (0.012795) Loss: 0.16238 (0.10381) +2025-08-25,20:46:19 | INFO | Train Epoch: 14 [20429312/26365952 (77%)] Avg Boundaries (per batch): 19.129 Boundary Ratio: 0.098 Contrastive_loss: 0.082066 (0.090988) Boundary_loss: 0.012701 (0.012795) Loss: 0.094766 (0.10378) +2025-08-25,20:47:18 | INFO | Train Epoch: 14 [20480512/26365952 (78%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.056762 (0.090902) Boundary_loss: 0.012808 (0.012795) Loss: 0.069570 (0.10370) +2025-08-25,20:48:17 | INFO | Train Epoch: 14 [20531712/26365952 (78%)] Avg Boundaries (per batch): 19.443 Boundary Ratio: 0.099 Contrastive_loss: 0.068318 (0.090846) Boundary_loss: 0.012680 (0.012795) Loss: 0.080998 (0.10364) +2025-08-25,20:49:16 | INFO | Train Epoch: 14 [20582912/26365952 (78%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.093413 (0.090852) Boundary_loss: 0.012731 (0.012795) Loss: 0.10614 (0.10365) +2025-08-25,20:50:14 | INFO | Train Epoch: 14 [20634112/26365952 (78%)] Avg Boundaries (per batch): 19.373 Boundary Ratio: 0.099 Contrastive_loss: 0.079022 (0.090823) Boundary_loss: 0.012836 (0.012795) Loss: 0.091858 (0.10362) +2025-08-25,20:51:13 | INFO | Train Epoch: 14 [20685312/26365952 (78%)] Avg Boundaries (per batch): 19.467 Boundary Ratio: 0.099 Contrastive_loss: 0.11277 (0.090877) Boundary_loss: 0.012832 (0.012795) Loss: 0.12560 (0.10367) +2025-08-25,20:52:12 | INFO | Train Epoch: 14 [20736512/26365952 (79%)] Avg Boundaries (per batch): 19.336 Boundary Ratio: 0.099 Contrastive_loss: 0.11747 (0.090943) Boundary_loss: 0.012837 (0.012795) Loss: 0.13031 (0.10374) +2025-08-25,20:53:10 | INFO | Train Epoch: 14 [20787712/26365952 (79%)] Avg Boundaries (per batch): 19.061 Boundary Ratio: 0.097 Contrastive_loss: 0.071511 (0.090895) Boundary_loss: 0.012802 (0.012795) Loss: 0.084312 (0.10369) +2025-08-25,20:54:09 | INFO | Train Epoch: 14 [20838912/26365952 (79%)] Avg Boundaries (per batch): 19.270 Boundary Ratio: 0.098 Contrastive_loss: 0.080333 (0.090869) Boundary_loss: 0.012677 (0.012795) Loss: 0.093010 (0.10366) +2025-08-25,20:55:08 | INFO | Train Epoch: 14 [20890112/26365952 (79%)] Avg Boundaries (per batch): 19.064 Boundary Ratio: 0.097 Contrastive_loss: 0.10255 (0.090898) Boundary_loss: 0.012813 (0.012795) Loss: 0.11537 (0.10369) +2025-08-25,20:56:07 | INFO | Train Epoch: 14 [20941312/26365952 (79%)] Avg Boundaries (per batch): 19.445 Boundary Ratio: 0.099 Contrastive_loss: 0.080518 (0.090872) Boundary_loss: 0.012794 (0.012795) Loss: 0.093312 (0.10367) +2025-08-25,20:57:05 | INFO | Train Epoch: 14 [20992512/26365952 (80%)] Avg Boundaries (per batch): 19.199 Boundary Ratio: 0.098 Contrastive_loss: 0.10712 (0.090912) Boundary_loss: 0.012797 (0.012795) Loss: 0.11992 (0.10371) +2025-08-25,20:58:04 | INFO | Train Epoch: 14 [21043712/26365952 (80%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.11449 (0.090969) Boundary_loss: 0.012888 (0.012795) Loss: 0.12738 (0.10376) +2025-08-25,20:59:03 | INFO | Train Epoch: 14 [21094912/26365952 (80%)] Avg Boundaries (per batch): 19.242 Boundary Ratio: 0.098 Contrastive_loss: 0.092201 (0.090972) Boundary_loss: 0.012870 (0.012795) Loss: 0.10507 (0.10377) +2025-08-25,21:00:02 | INFO | Train Epoch: 14 [21146112/26365952 (80%)] Avg Boundaries (per batch): 19.062 Boundary Ratio: 0.097 Contrastive_loss: 0.14343 (0.091099) Boundary_loss: 0.012786 (0.012795) Loss: 0.15622 (0.10389) +2025-08-25,21:01:00 | INFO | Train Epoch: 14 [21197312/26365952 (80%)] Avg Boundaries (per batch): 19.041 Boundary Ratio: 0.097 Contrastive_loss: 0.12630 (0.091184) Boundary_loss: 0.012800 (0.012795) Loss: 0.13910 (0.10398) +2025-08-25,21:01:59 | INFO | Train Epoch: 14 [21248512/26365952 (81%)] Avg Boundaries (per batch): 19.342 Boundary Ratio: 0.099 Contrastive_loss: 0.087283 (0.091174) Boundary_loss: 0.012796 (0.012795) Loss: 0.10008 (0.10397) +2025-08-25,21:02:58 | INFO | Train Epoch: 14 [21299712/26365952 (81%)] Avg Boundaries (per batch): 19.137 Boundary Ratio: 0.098 Contrastive_loss: 0.079324 (0.091146) Boundary_loss: 0.012852 (0.012795) Loss: 0.092176 (0.10394) +2025-08-25,21:03:56 | INFO | Train Epoch: 14 [21350912/26365952 (81%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.10004 (0.091167) Boundary_loss: 0.012802 (0.012795) Loss: 0.11284 (0.10396) +2025-08-25,21:04:55 | INFO | Train Epoch: 14 [21402112/26365952 (81%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.099432 (0.091187) Boundary_loss: 0.012740 (0.012795) Loss: 0.11217 (0.10398) +2025-08-25,21:05:53 | INFO | Train Epoch: 14 [21453312/26365952 (81%)] Avg Boundaries (per batch): 19.420 Boundary Ratio: 0.099 Contrastive_loss: 0.080001 (0.091160) Boundary_loss: 0.012817 (0.012795) Loss: 0.092818 (0.10396) +2025-08-25,21:06:52 | INFO | Train Epoch: 14 [21504512/26365952 (82%)] Avg Boundaries (per batch): 19.096 Boundary Ratio: 0.097 Contrastive_loss: 0.10877 (0.091202) Boundary_loss: 0.012751 (0.012795) Loss: 0.12152 (0.10400) +2025-08-25,21:07:51 | INFO | Train Epoch: 14 [21555712/26365952 (82%)] Avg Boundaries (per batch): 19.102 Boundary Ratio: 0.097 Contrastive_loss: 0.13212 (0.091299) Boundary_loss: 0.012936 (0.012795) Loss: 0.14506 (0.10409) +2025-08-25,21:08:49 | INFO | Train Epoch: 14 [21606912/26365952 (82%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.097676 (0.091314) Boundary_loss: 0.012787 (0.012795) Loss: 0.11046 (0.10411) +2025-08-25,21:09:48 | INFO | Train Epoch: 14 [21658112/26365952 (82%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.083946 (0.091297) Boundary_loss: 0.012820 (0.012795) Loss: 0.096766 (0.10409) +2025-08-25,21:10:47 | INFO | Train Epoch: 14 [21709312/26365952 (82%)] Avg Boundaries (per batch): 19.279 Boundary Ratio: 0.098 Contrastive_loss: 0.11035 (0.091342) Boundary_loss: 0.012840 (0.012796) Loss: 0.12319 (0.10414) +2025-08-25,21:11:46 | INFO | Train Epoch: 14 [21760512/26365952 (83%)] Avg Boundaries (per batch): 19.080 Boundary Ratio: 0.097 Contrastive_loss: 0.12081 (0.091411) Boundary_loss: 0.012714 (0.012795) Loss: 0.13353 (0.10421) +2025-08-25,21:12:44 | INFO | Train Epoch: 14 [21811712/26365952 (83%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.093661 (0.091416) Boundary_loss: 0.012844 (0.012796) Loss: 0.10650 (0.10421) +2025-08-25,21:13:43 | INFO | Train Epoch: 14 [21862912/26365952 (83%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.11491 (0.091471) Boundary_loss: 0.012881 (0.012796) Loss: 0.12779 (0.10427) +2025-08-25,21:14:41 | INFO | Train Epoch: 14 [21914112/26365952 (83%)] Avg Boundaries (per batch): 19.291 Boundary Ratio: 0.098 Contrastive_loss: 0.10728 (0.091508) Boundary_loss: 0.012629 (0.012795) Loss: 0.11991 (0.10430) +2025-08-25,21:15:40 | INFO | Train Epoch: 14 [21965312/26365952 (83%)] Avg Boundaries (per batch): 19.215 Boundary Ratio: 0.098 Contrastive_loss: 0.084397 (0.091491) Boundary_loss: 0.012797 (0.012795) Loss: 0.097194 (0.10429) +2025-08-25,21:16:39 | INFO | Train Epoch: 14 [22016512/26365952 (84%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.069903 (0.091441) Boundary_loss: 0.012868 (0.012795) Loss: 0.082772 (0.10424) +2025-08-25,21:17:37 | INFO | Train Epoch: 14 [22067712/26365952 (84%)] Avg Boundaries (per batch): 19.018 Boundary Ratio: 0.097 Contrastive_loss: 0.071418 (0.091395) Boundary_loss: 0.012850 (0.012796) Loss: 0.084268 (0.10419) +2025-08-25,21:18:36 | INFO | Train Epoch: 14 [22118912/26365952 (84%)] Avg Boundaries (per batch): 19.260 Boundary Ratio: 0.098 Contrastive_loss: 0.076096 (0.091359) Boundary_loss: 0.012805 (0.012796) Loss: 0.088901 (0.10416) +2025-08-25,21:19:35 | INFO | Train Epoch: 14 [22170112/26365952 (84%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.083507 (0.091341) Boundary_loss: 0.012863 (0.012796) Loss: 0.096369 (0.10414) +2025-08-25,21:20:33 | INFO | Train Epoch: 14 [22221312/26365952 (84%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.088468 (0.091335) Boundary_loss: 0.012843 (0.012796) Loss: 0.10131 (0.10413) +2025-08-25,21:21:32 | INFO | Train Epoch: 14 [22272512/26365952 (84%)] Avg Boundaries (per batch): 19.365 Boundary Ratio: 0.099 Contrastive_loss: 0.092467 (0.091337) Boundary_loss: 0.012763 (0.012796) Loss: 0.10523 (0.10413) +2025-08-25,21:22:31 | INFO | Train Epoch: 14 [22323712/26365952 (85%)] Avg Boundaries (per batch): 19.031 Boundary Ratio: 0.097 Contrastive_loss: 0.096902 (0.091350) Boundary_loss: 0.012763 (0.012796) Loss: 0.10967 (0.10415) +2025-08-25,21:23:29 | INFO | Train Epoch: 14 [22374912/26365952 (85%)] Avg Boundaries (per batch): 19.203 Boundary Ratio: 0.098 Contrastive_loss: 0.096668 (0.091362) Boundary_loss: 0.012751 (0.012796) Loss: 0.10942 (0.10416) +2025-08-25,21:24:28 | INFO | Train Epoch: 14 [22426112/26365952 (85%)] Avg Boundaries (per batch): 19.135 Boundary Ratio: 0.098 Contrastive_loss: 0.075443 (0.091326) Boundary_loss: 0.012761 (0.012796) Loss: 0.088204 (0.10412) +2025-08-25,21:25:27 | INFO | Train Epoch: 14 [22477312/26365952 (85%)] Avg Boundaries (per batch): 19.262 Boundary Ratio: 0.098 Contrastive_loss: 0.063529 (0.091263) Boundary_loss: 0.012726 (0.012795) Loss: 0.076255 (0.10406) +2025-08-25,21:26:25 | INFO | Train Epoch: 14 [22528512/26365952 (85%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.078702 (0.091234) Boundary_loss: 0.012800 (0.012795) Loss: 0.091501 (0.10403) +2025-08-25,21:27:24 | INFO | Train Epoch: 14 [22579712/26365952 (86%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.11960 (0.091299) Boundary_loss: 0.012726 (0.012795) Loss: 0.13232 (0.10409) +2025-08-25,21:28:23 | INFO | Train Epoch: 14 [22630912/26365952 (86%)] Avg Boundaries (per batch): 19.217 Boundary Ratio: 0.098 Contrastive_loss: 0.065249 (0.091240) Boundary_loss: 0.012771 (0.012795) Loss: 0.078020 (0.10403) +2025-08-25,21:29:21 | INFO | Train Epoch: 14 [22682112/26365952 (86%)] Avg Boundaries (per batch): 19.141 Boundary Ratio: 0.098 Contrastive_loss: 0.095997 (0.091250) Boundary_loss: 0.012830 (0.012795) Loss: 0.10883 (0.10405) +2025-08-25,21:30:20 | INFO | Train Epoch: 14 [22733312/26365952 (86%)] Avg Boundaries (per batch): 19.307 Boundary Ratio: 0.099 Contrastive_loss: 0.081765 (0.091229) Boundary_loss: 0.012773 (0.012795) Loss: 0.094538 (0.10402) +2025-08-25,21:31:19 | INFO | Train Epoch: 14 [22784512/26365952 (86%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.098138 (0.091245) Boundary_loss: 0.012839 (0.012795) Loss: 0.11098 (0.10404) +2025-08-25,21:32:17 | INFO | Train Epoch: 14 [22835712/26365952 (87%)] Avg Boundaries (per batch): 19.266 Boundary Ratio: 0.098 Contrastive_loss: 0.082225 (0.091224) Boundary_loss: 0.012790 (0.012795) Loss: 0.095015 (0.10402) +2025-08-25,21:33:16 | INFO | Train Epoch: 14 [22886912/26365952 (87%)] Avg Boundaries (per batch): 19.271 Boundary Ratio: 0.098 Contrastive_loss: 0.10141 (0.091247) Boundary_loss: 0.012760 (0.012795) Loss: 0.11417 (0.10404) +2025-08-25,21:34:15 | INFO | Train Epoch: 14 [22938112/26365952 (87%)] Avg Boundaries (per batch): 19.229 Boundary Ratio: 0.098 Contrastive_loss: 0.10478 (0.091277) Boundary_loss: 0.012641 (0.012795) Loss: 0.11742 (0.10407) +2025-08-25,21:35:13 | INFO | Train Epoch: 14 [22989312/26365952 (87%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.10751 (0.091313) Boundary_loss: 0.012758 (0.012795) Loss: 0.12027 (0.10411) +2025-08-25,21:36:12 | INFO | Train Epoch: 14 [23040512/26365952 (87%)] Avg Boundaries (per batch): 19.385 Boundary Ratio: 0.099 Contrastive_loss: 0.076963 (0.091282) Boundary_loss: 0.012752 (0.012795) Loss: 0.089715 (0.10408) +2025-08-25,21:37:11 | INFO | Train Epoch: 14 [23091712/26365952 (88%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.10133 (0.091304) Boundary_loss: 0.012777 (0.012795) Loss: 0.11411 (0.10410) +2025-08-25,21:38:09 | INFO | Train Epoch: 14 [23142912/26365952 (88%)] Avg Boundaries (per batch): 19.174 Boundary Ratio: 0.098 Contrastive_loss: 0.086842 (0.091294) Boundary_loss: 0.012747 (0.012795) Loss: 0.099589 (0.10409) +2025-08-25,21:39:08 | INFO | Train Epoch: 14 [23194112/26365952 (88%)] Avg Boundaries (per batch): 19.160 Boundary Ratio: 0.098 Contrastive_loss: 0.11227 (0.091340) Boundary_loss: 0.012762 (0.012795) Loss: 0.12503 (0.10413) +2025-08-25,21:40:07 | INFO | Train Epoch: 14 [23245312/26365952 (88%)] Avg Boundaries (per batch): 19.324 Boundary Ratio: 0.099 Contrastive_loss: 0.11315 (0.091388) Boundary_loss: 0.012708 (0.012794) Loss: 0.12585 (0.10418) +2025-08-25,21:41:05 | INFO | Train Epoch: 14 [23296512/26365952 (88%)] Avg Boundaries (per batch): 19.320 Boundary Ratio: 0.099 Contrastive_loss: 0.12747 (0.091467) Boundary_loss: 0.012839 (0.012794) Loss: 0.14031 (0.10426) +2025-08-25,21:42:04 | INFO | Train Epoch: 14 [23347712/26365952 (89%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.10007 (0.091486) Boundary_loss: 0.012705 (0.012794) Loss: 0.11278 (0.10428) +2025-08-25,21:43:02 | INFO | Train Epoch: 14 [23398912/26365952 (89%)] Avg Boundaries (per batch): 19.219 Boundary Ratio: 0.098 Contrastive_loss: 0.097372 (0.091499) Boundary_loss: 0.012886 (0.012794) Loss: 0.11026 (0.10429) +2025-08-25,21:44:01 | INFO | Train Epoch: 14 [23450112/26365952 (89%)] Avg Boundaries (per batch): 19.314 Boundary Ratio: 0.099 Contrastive_loss: 0.089724 (0.091495) Boundary_loss: 0.012809 (0.012794) Loss: 0.10253 (0.10429) +2025-08-25,21:45:00 | INFO | Train Epoch: 14 [23501312/26365952 (89%)] Avg Boundaries (per batch): 19.234 Boundary Ratio: 0.098 Contrastive_loss: 0.081667 (0.091474) Boundary_loss: 0.012818 (0.012794) Loss: 0.094486 (0.10427) +2025-08-25,21:45:58 | INFO | Train Epoch: 14 [23552512/26365952 (89%)] Avg Boundaries (per batch): 19.193 Boundary Ratio: 0.098 Contrastive_loss: 0.068097 (0.091423) Boundary_loss: 0.012808 (0.012795) Loss: 0.080904 (0.10422) +2025-08-25,21:46:57 | INFO | Train Epoch: 14 [23603712/26365952 (90%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.071437 (0.091380) Boundary_loss: 0.012836 (0.012795) Loss: 0.084273 (0.10417) +2025-08-25,21:47:56 | INFO | Train Epoch: 14 [23654912/26365952 (90%)] Avg Boundaries (per batch): 19.121 Boundary Ratio: 0.098 Contrastive_loss: 0.059567 (0.091311) Boundary_loss: 0.012715 (0.012794) Loss: 0.072282 (0.10411) +2025-08-25,21:48:54 | INFO | Train Epoch: 14 [23706112/26365952 (90%)] Avg Boundaries (per batch): 19.164 Boundary Ratio: 0.098 Contrastive_loss: 0.10852 (0.091348) Boundary_loss: 0.012772 (0.012794) Loss: 0.12129 (0.10414) +2025-08-25,21:49:53 | INFO | Train Epoch: 14 [23757312/26365952 (90%)] Avg Boundaries (per batch): 19.322 Boundary Ratio: 0.099 Contrastive_loss: 0.13075 (0.091433) Boundary_loss: 0.012768 (0.012794) Loss: 0.14352 (0.10423) +2025-08-25,21:50:51 | INFO | Train Epoch: 14 [23808512/26365952 (90%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.060251 (0.091366) Boundary_loss: 0.012741 (0.012794) Loss: 0.072992 (0.10416) +2025-08-25,21:51:50 | INFO | Train Epoch: 14 [23859712/26365952 (90%)] Avg Boundaries (per batch): 19.277 Boundary Ratio: 0.098 Contrastive_loss: 0.078613 (0.091339) Boundary_loss: 0.012777 (0.012794) Loss: 0.091390 (0.10413) +2025-08-25,21:52:49 | INFO | Train Epoch: 14 [23910912/26365952 (91%)] Avg Boundaries (per batch): 19.379 Boundary Ratio: 0.099 Contrastive_loss: 0.10346 (0.091364) Boundary_loss: 0.012843 (0.012794) Loss: 0.11631 (0.10416) +2025-08-25,21:53:47 | INFO | Train Epoch: 14 [23962112/26365952 (91%)] Avg Boundaries (per batch): 19.047 Boundary Ratio: 0.097 Contrastive_loss: 0.083136 (0.091347) Boundary_loss: 0.012717 (0.012794) Loss: 0.095853 (0.10414) +2025-08-25,21:54:46 | INFO | Train Epoch: 14 [24013312/26365952 (91%)] Avg Boundaries (per batch): 19.455 Boundary Ratio: 0.099 Contrastive_loss: 0.074740 (0.091312) Boundary_loss: 0.012858 (0.012794) Loss: 0.087598 (0.10411) +2025-08-25,21:55:45 | INFO | Train Epoch: 14 [24064512/26365952 (91%)] Avg Boundaries (per batch): 19.227 Boundary Ratio: 0.098 Contrastive_loss: 0.083114 (0.091294) Boundary_loss: 0.012781 (0.012794) Loss: 0.095895 (0.10409) +2025-08-25,21:56:43 | INFO | Train Epoch: 14 [24115712/26365952 (91%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.11520 (0.091345) Boundary_loss: 0.012847 (0.012794) Loss: 0.12805 (0.10414) +2025-08-25,21:57:42 | INFO | Train Epoch: 14 [24166912/26365952 (92%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.067313 (0.091294) Boundary_loss: 0.012852 (0.012794) Loss: 0.080165 (0.10409) +2025-08-25,21:58:41 | INFO | Train Epoch: 14 [24218112/26365952 (92%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.10518 (0.091323) Boundary_loss: 0.012818 (0.012795) Loss: 0.11799 (0.10412) +2025-08-25,21:59:39 | INFO | Train Epoch: 14 [24269312/26365952 (92%)] Avg Boundaries (per batch): 19.398 Boundary Ratio: 0.099 Contrastive_loss: 0.10116 (0.091344) Boundary_loss: 0.012817 (0.012795) Loss: 0.11398 (0.10414) +2025-08-25,22:00:38 | INFO | Train Epoch: 14 [24320512/26365952 (92%)] Avg Boundaries (per batch): 19.197 Boundary Ratio: 0.098 Contrastive_loss: 0.079725 (0.091320) Boundary_loss: 0.012808 (0.012795) Loss: 0.092532 (0.10411) +2025-08-25,22:01:37 | INFO | Train Epoch: 14 [24371712/26365952 (92%)] Avg Boundaries (per batch): 19.250 Boundary Ratio: 0.098 Contrastive_loss: 0.11183 (0.091363) Boundary_loss: 0.012864 (0.012795) Loss: 0.12469 (0.10416) +2025-08-25,22:02:35 | INFO | Train Epoch: 14 [24422912/26365952 (93%)] Avg Boundaries (per batch): 19.408 Boundary Ratio: 0.099 Contrastive_loss: 0.090406 (0.091361) Boundary_loss: 0.012885 (0.012795) Loss: 0.10329 (0.10416) +2025-08-25,22:03:34 | INFO | Train Epoch: 14 [24474112/26365952 (93%)] Avg Boundaries (per batch): 19.191 Boundary Ratio: 0.098 Contrastive_loss: 0.069073 (0.091314) Boundary_loss: 0.012734 (0.012795) Loss: 0.081806 (0.10411) +2025-08-25,22:04:33 | INFO | Train Epoch: 14 [24525312/26365952 (93%)] Avg Boundaries (per batch): 19.426 Boundary Ratio: 0.099 Contrastive_loss: 0.072655 (0.091275) Boundary_loss: 0.012807 (0.012795) Loss: 0.085461 (0.10407) +2025-08-25,22:05:32 | INFO | Train Epoch: 14 [24576512/26365952 (93%)] Avg Boundaries (per batch): 19.172 Boundary Ratio: 0.098 Contrastive_loss: 0.080252 (0.091252) Boundary_loss: 0.012831 (0.012795) Loss: 0.093083 (0.10405) +2025-08-25,22:06:30 | INFO | Train Epoch: 14 [24627712/26365952 (93%)] Avg Boundaries (per batch): 19.354 Boundary Ratio: 0.099 Contrastive_loss: 0.11159 (0.091294) Boundary_loss: 0.012804 (0.012795) Loss: 0.12439 (0.10409) +2025-08-25,22:07:29 | INFO | Train Epoch: 14 [24678912/26365952 (94%)] Avg Boundaries (per batch): 19.297 Boundary Ratio: 0.098 Contrastive_loss: 0.077718 (0.091266) Boundary_loss: 0.012872 (0.012795) Loss: 0.090590 (0.10406) +2025-08-25,22:08:27 | INFO | Train Epoch: 14 [24730112/26365952 (94%)] Avg Boundaries (per batch): 19.211 Boundary Ratio: 0.098 Contrastive_loss: 0.070677 (0.091224) Boundary_loss: 0.012863 (0.012795) Loss: 0.083540 (0.10402) +2025-08-25,22:09:26 | INFO | Train Epoch: 14 [24781312/26365952 (94%)] Avg Boundaries (per batch): 19.377 Boundary Ratio: 0.099 Contrastive_loss: 0.098255 (0.091238) Boundary_loss: 0.012816 (0.012795) Loss: 0.11107 (0.10403) +2025-08-25,22:10:25 | INFO | Train Epoch: 14 [24832512/26365952 (94%)] Avg Boundaries (per batch): 19.312 Boundary Ratio: 0.099 Contrastive_loss: 0.094106 (0.091244) Boundary_loss: 0.012819 (0.012795) Loss: 0.10692 (0.10404) +2025-08-25,22:11:24 | INFO | Train Epoch: 14 [24883712/26365952 (94%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.11202 (0.091287) Boundary_loss: 0.012780 (0.012795) Loss: 0.12480 (0.10408) +2025-08-25,22:12:22 | INFO | Train Epoch: 14 [24934912/26365952 (95%)] Avg Boundaries (per batch): 19.090 Boundary Ratio: 0.097 Contrastive_loss: 0.10627 (0.091318) Boundary_loss: 0.012797 (0.012795) Loss: 0.11906 (0.10411) +2025-08-25,22:13:21 | INFO | Train Epoch: 14 [24986112/26365952 (95%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.10656 (0.091349) Boundary_loss: 0.012846 (0.012795) Loss: 0.11940 (0.10414) +2025-08-25,22:14:20 | INFO | Train Epoch: 14 [25037312/26365952 (95%)] Avg Boundaries (per batch): 19.311 Boundary Ratio: 0.099 Contrastive_loss: 0.091608 (0.091349) Boundary_loss: 0.012763 (0.012795) Loss: 0.10437 (0.10414) +2025-08-25,22:15:18 | INFO | Train Epoch: 14 [25088512/26365952 (95%)] Avg Boundaries (per batch): 19.238 Boundary Ratio: 0.098 Contrastive_loss: 0.088780 (0.091344) Boundary_loss: 0.012785 (0.012795) Loss: 0.10157 (0.10414) +2025-08-25,22:16:17 | INFO | Train Epoch: 14 [25139712/26365952 (95%)] Avg Boundaries (per batch): 19.475 Boundary Ratio: 0.099 Contrastive_loss: 0.079128 (0.091319) Boundary_loss: 0.012736 (0.012795) Loss: 0.091864 (0.10411) +2025-08-25,22:17:16 | INFO | Train Epoch: 14 [25190912/26365952 (96%)] Avg Boundaries (per batch): 19.332 Boundary Ratio: 0.099 Contrastive_loss: 0.079287 (0.091295) Boundary_loss: 0.012821 (0.012795) Loss: 0.092108 (0.10409) +2025-08-25,22:18:14 | INFO | Train Epoch: 14 [25242112/26365952 (96%)] Avg Boundaries (per batch): 19.180 Boundary Ratio: 0.098 Contrastive_loss: 0.10487 (0.091322) Boundary_loss: 0.012789 (0.012795) Loss: 0.11766 (0.10412) +2025-08-25,22:19:13 | INFO | Train Epoch: 14 [25293312/26365952 (96%)] Avg Boundaries (per batch): 19.367 Boundary Ratio: 0.099 Contrastive_loss: 0.077431 (0.091294) Boundary_loss: 0.012919 (0.012795) Loss: 0.090350 (0.10409) +2025-08-25,22:20:12 | INFO | Train Epoch: 14 [25344512/26365952 (96%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.080945 (0.091273) Boundary_loss: 0.012774 (0.012795) Loss: 0.093719 (0.10407) +2025-08-25,22:21:10 | INFO | Train Epoch: 14 [25395712/26365952 (96%)] Avg Boundaries (per batch): 19.318 Boundary Ratio: 0.099 Contrastive_loss: 0.074470 (0.091240) Boundary_loss: 0.012783 (0.012795) Loss: 0.087253 (0.10403) +2025-08-25,22:22:09 | INFO | Train Epoch: 14 [25446912/26365952 (97%)] Avg Boundaries (per batch): 19.357 Boundary Ratio: 0.099 Contrastive_loss: 0.10073 (0.091259) Boundary_loss: 0.012805 (0.012795) Loss: 0.11353 (0.10405) +2025-08-25,22:23:08 | INFO | Train Epoch: 14 [25498112/26365952 (97%)] Avg Boundaries (per batch): 19.281 Boundary Ratio: 0.098 Contrastive_loss: 0.082562 (0.091241) Boundary_loss: 0.012783 (0.012795) Loss: 0.095345 (0.10404) +2025-08-25,22:24:06 | INFO | Train Epoch: 14 [25549312/26365952 (97%)] Avg Boundaries (per batch): 19.289 Boundary Ratio: 0.098 Contrastive_loss: 0.097601 (0.091254) Boundary_loss: 0.012849 (0.012795) Loss: 0.11045 (0.10405) +2025-08-25,22:25:05 | INFO | Train Epoch: 14 [25600512/26365952 (97%)] Avg Boundaries (per batch): 19.240 Boundary Ratio: 0.098 Contrastive_loss: 0.083031 (0.091237) Boundary_loss: 0.012843 (0.012796) Loss: 0.095874 (0.10403) +2025-08-25,22:26:04 | INFO | Train Epoch: 14 [25651712/26365952 (97%)] Avg Boundaries (per batch): 19.299 Boundary Ratio: 0.098 Contrastive_loss: 0.074314 (0.091204) Boundary_loss: 0.012905 (0.012796) Loss: 0.087219 (0.10400) +2025-08-25,22:27:02 | INFO | Train Epoch: 14 [25702912/26365952 (97%)] Avg Boundaries (per batch): 19.361 Boundary Ratio: 0.099 Contrastive_loss: 0.084916 (0.091191) Boundary_loss: 0.012769 (0.012796) Loss: 0.097686 (0.10399) +2025-08-25,22:28:01 | INFO | Train Epoch: 14 [25754112/26365952 (98%)] Avg Boundaries (per batch): 19.066 Boundary Ratio: 0.097 Contrastive_loss: 0.065440 (0.091140) Boundary_loss: 0.012761 (0.012796) Loss: 0.078201 (0.10394) +2025-08-25,22:29:00 | INFO | Train Epoch: 14 [25805312/26365952 (98%)] Avg Boundaries (per batch): 19.221 Boundary Ratio: 0.098 Contrastive_loss: 0.10348 (0.091165) Boundary_loss: 0.012714 (0.012796) Loss: 0.11620 (0.10396) +2025-08-25,22:29:58 | INFO | Train Epoch: 14 [25856512/26365952 (98%)] Avg Boundaries (per batch): 19.326 Boundary Ratio: 0.099 Contrastive_loss: 0.085864 (0.091154) Boundary_loss: 0.012757 (0.012795) Loss: 0.098621 (0.10395) +2025-08-25,22:30:57 | INFO | Train Epoch: 14 [25907712/26365952 (98%)] Avg Boundaries (per batch): 19.293 Boundary Ratio: 0.098 Contrastive_loss: 0.090134 (0.091152) Boundary_loss: 0.012731 (0.012795) Loss: 0.10287 (0.10395) +2025-08-25,22:31:56 | INFO | Train Epoch: 14 [25958912/26365952 (98%)] Avg Boundaries (per batch): 19.328 Boundary Ratio: 0.099 Contrastive_loss: 0.079677 (0.091130) Boundary_loss: 0.012776 (0.012795) Loss: 0.092453 (0.10392) +2025-08-25,22:32:54 | INFO | Train Epoch: 14 [26010112/26365952 (99%)] Avg Boundaries (per batch): 19.395 Boundary Ratio: 0.099 Contrastive_loss: 0.099452 (0.091146) Boundary_loss: 0.012847 (0.012795) Loss: 0.11230 (0.10394) +2025-08-25,22:33:53 | INFO | Train Epoch: 14 [26061312/26365952 (99%)] Avg Boundaries (per batch): 19.430 Boundary Ratio: 0.099 Contrastive_loss: 0.098309 (0.091160) Boundary_loss: 0.012744 (0.012795) Loss: 0.11105 (0.10396) +2025-08-25,22:34:52 | INFO | Train Epoch: 14 [26112512/26365952 (99%)] Avg Boundaries (per batch): 19.131 Boundary Ratio: 0.098 Contrastive_loss: 0.078063 (0.091134) Boundary_loss: 0.012768 (0.012795) Loss: 0.090831 (0.10393) +2025-08-25,22:35:50 | INFO | Train Epoch: 14 [26163712/26365952 (99%)] Avg Boundaries (per batch): 19.295 Boundary Ratio: 0.098 Contrastive_loss: 0.099338 (0.091150) Boundary_loss: 0.012804 (0.012795) Loss: 0.11214 (0.10395) +2025-08-25,22:36:49 | INFO | Train Epoch: 14 [26214912/26365952 (99%)] Avg Boundaries (per batch): 19.252 Boundary Ratio: 0.098 Contrastive_loss: 0.12876 (0.091224) Boundary_loss: 0.012710 (0.012795) Loss: 0.14147 (0.10402) +2025-08-25,22:37:48 | INFO | Train Epoch: 14 [26266112/26365952 (100%)] Avg Boundaries (per batch): 19.205 Boundary Ratio: 0.098 Contrastive_loss: 0.094874 (0.091231) Boundary_loss: 0.012709 (0.012795) Loss: 0.10758 (0.10403) +2025-08-25,22:38:46 | INFO | Train Epoch: 14 [26317312/26365952 (100%)] Avg Boundaries (per batch): 19.303 Boundary Ratio: 0.098 Contrastive_loss: 0.087801 (0.091224) Boundary_loss: 0.012760 (0.012795) Loss: 0.10056 (0.10402) +2025-08-25,22:39:42 | INFO | Train Epoch: 14 [26365952/26365952 (100%)] Avg Boundaries (per batch): 19.182 Boundary Ratio: 0.098 Contrastive_loss: 0.10065 (0.091242) Boundary_loss: 0.012828 (0.012795) Loss: 0.11347 (0.10404) +2025-08-25,22:39:42 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-25,22:39:42 | INFO | [Epoch 14] Average Step Time: 0.589s | Average GPU Memory: 33.4 GB +2025-08-25,22:39:42 | INFO | ⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐⭐ +2025-08-25,22:39:42 | INFO | Starting zero-shot imagenet. +2025-08-25,22:39:42 | INFO | Building zero-shot classifier +2025-08-25,22:39:51 | INFO | Using classifier +2025-08-25,22:40:35 | INFO | Finished zero-shot imagenet. +2025-08-25,22:40:35 | INFO | Eval Epoch: 15 imagenet-zeroshot-val-top1: 0.3190 imagenet-zeroshot-val-top5: 0.5920